New insights into the antifungal and anti-mycotoxigenic potential of the TickCore3 peptide against Fusarium species causing Fusarium Head Blight

New insights into the antifungal and anti-mycotoxigenic potential of the TickCore3 peptide against Fusarium species causing Fusarium Head Blight | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article New insights into the antifungal and anti-mycotoxigenic potential of the TickCore3 peptide against Fusarium species causing Fusarium Head Blight Valentin Leannec-Rialland, Vessela Atanasova, Alejandro Cabezas-Cruz, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4995777/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 19 Feb, 2025 Read the published version in Journal of Plant Diseases and Protection → Version 1 posted 5 You are reading this latest preprint version Abstract Cereal crops are frequently affected by Fusarium species that are responsible for the devastating fungal disease Fusarium Head Blight (FHB). These Fusarium species are also capable of producing mycotoxins that accumulate in grains. Reducing the use of synthetic fungicides in agriculture while guaranteeing low levels of mycotoxin contamination in crops requires the development of innovative and environment-friendly solutions. TickCore3 (TC3) is the γ-core of the Ixodes ricinus tick defensin DefMT3. This peptide was previously reported as a potent antifungal and anti-mycotoxin agent but was only tested against one strain of Fusarium graminearum , which is only one of the species causing FHB. In this study, we demonstrated that the peptide was active against major Fusarium species infecting wheat and could mitigate the accumulation of various mycotoxins. Fungal susceptibility to TC3 was shown to vary significantly according to the species and the strain as well. We found that TC3 is highly efficient when applied to the spores and has a strong anti-germination activity. Using a FITC-labeled TC3 peptide and confocal microscopy, we showed that TC3 has a strong affinity for the conidia surface and surrounds these fungal structures. Finally, the implementation of in planta tests demonstrated the bioactivity of TC3 when applied on wheat leaves. This study provides additional convincing results supporting the huge potential of TC3 as a novel and efficient anti-fungal agent to control FHB. Fusarium Fusarium head blight mycotoxins tick defensins biocontrol Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 1. Introduction Fusarium graminearum is a major fungal pathogen responsible for the Fusarium Head Blight (FHB) disease that affects wheat and other small grain cereals leading to reduced yield and quality. Fusarium graminearum is however not the sole causal agent of FHB and is never observed alone on developing kernels. The disease is caused by a complex of species of the genera Fusarium and Microdochium , with more than 20 species identified until now. Among them, F. graminearum , Fusarium culmorum , Fusarium avenaceum and Fusarium poae have been identified as the most prevalent in Europe (Birr et al. , 2020). Additional species, including Fusarium sporotrichioides , Fusarium langsethiae and Fusarium tricinctum , are also reported to contribute to FHB (Bottalico and Perrone, 2002; van der Lee et al. , 2015; Dweba et al. , 2017). The three previous species are however described as playing a subordinate role in the development of the disease (Birr et al. , 2020). All the Fusarium species listed above can produce various mycotoxins that pose a risk to human and animal health (Kang and Buchenauer, 1999). F. graminearum , F. culmorum and F. poae can produce type B trichothecenes (TCTB). This family of mycotoxins includes deoxynivalenol (DON) and its acetylated forms (3-acetyl and 15-acetyl DON / 3-ADON and 15-ADON), nivalenol (NIV) and its acetylated form fusarenon X (FX). Besides, F. graminearum and F. culmorum are the main producers of zearalenone (ZEA). Fusarium poae is also reported as a producer of type A trichothecenes (mainly diacetoxyscirpenol / DAS and monoacetoxyscirpenol / MAS) while F. langsethiae and F. sporotrichioides are responsible for the contamination of grains with T-2 and HT-2 toxins. Furthermore, the production of the so-called emerging mycotoxins, enniatins (ENNs), and beauvericin (BEA), by F. poae , F. avenaceum and F. tricinctum is also widely documented (Gautier et al. , 2020). ENNs and BEA are among the most frequent mycotoxins found in small grain cereals; their physiological role for the fungus and their toxic effects such as the factors governing their occurrence are however poorly known (Gautier et al. , 2020). The FHB disease is even more complex because it is not only associated with a diversity of species but also a diversity of isolates that, even if they belong to the same species, can exhibit various phenotypes. This is particularly evident in the F. graminearum species, whose isolates are characterized by large differences in aggressiveness (Fabre et al. , 2019), in toxigenic potential (Laurent et al. , 2017), or in resistance to antifungal treatments (Zhang et al. , 2009; Hou et al. , 2017). Unfortunately, this complexity is often overlooked in research aiming at identifying alternative solutions to the use of synthetic fungicides to reduce FHB, which could be one reason why demonstrated efficiency in controlled conditions is not necessarily confirmed in field trials. The need to consider the different fungal actors of FHB was exemplified by the report of Tan et al. (2021) who demonstrated that FHB control measures could be hindered by the presence of weak pathogens such as F. poae . Various scenarii can be imagined, among which: (i) all FHB species have a similar susceptibility to the antifungal treatment; the disease symptoms and the whole mycotoxin content could be reduced, (ii) F. graminearum or F. culmorum are significantly less susceptible than the other FHB species; the treatment could preferentially eliminate competitive species and induce an increase in contamination with DON, (iii) F. graminearum and F. culmorum aresignificantly more susceptible than the other FHB species; the treatment could lead to an over-representation of FHB species viewed as minor, resulting in an increased content of some mycotoxins such as ENNs. A package of preharvest practices is recommended to reduce Fusarium mycotoxins in cereals. They include: the adaptation of the crop sequence, the management of crop residue, the choice of tolerant cultivars, the use of fungicides, and appropriate sowing date and density (Leslie et al. , 2021). However, there are so far no management strategies that are efficient enough to guarantee the compliance of harvested grains with the mycotoxin thresholds set by the European Commission for cereals intended for human consumption (Commission Regulation (EU) 2024/1756). In recent years, the environmental and health concerns associated with the use of chemical pesticides, and the increased spread of Fusarium strains resistant to commonly-applied synthetic fungicides, have driven researchers into finding alternative methods of FHB disease management. Defensins are a well-characterized family of naturally occurring antimicrobial peptides in many organisms, including ticks (Tonk et al. , 2014, 2015; Cabezas-Cruz et al. , 2016). Tick defensins have antibacterial and antifungal (Tonk et al. , 2014, 2015) activity, and have been recently described as an alternative for the control of Fusarium spp. (Leannec-Rialland et al. , 2022). Indeed, in addition to their bioactivity, defensin peptides possess interesting characteristics such as: low toxicity to plants and mammals, high water solubility and a potential low production cost through recombinant expression in microorganisms (Leannec-Rialland et al. , 2022). In previous studies, we showed that the γ-core of the Ixodes ricinus defensin DefMT3 (TickCore3, hereafter called TC3) inhibits F. graminearum spore germination and growth (Tonk et al. , 2015) as well as mycotoxin production (Leannec-Rialland et al. , 2021). These first studies were however conducted with a very restricted set of isolates and did not consider the diversity of Fusarium strains causing FHB neither the intraspecific diversity. In this study, the capacity of TC3 to inhibit the growth and mycotoxin production of the six major Fusarium species known to infect European wheat crops was assessed. In addition, we compared the susceptibility of isolates belonging to each of the six considered Fusarium species. Further experimental work was implemented to clarify the mechanisms underlying the bioactivity of TC3 and investigate some features that could explain differences in susceptibility between species. Even though the main FHB species have been considered, a specific focus was done on two of the most prevalent species associated with FHB, F. graminearum and F. avenaceum . These two species also greatly differ regarding their aggressiveness, F. avenaceum being considered as a weak pathogen while F. graminearum is known as one of the most damaging pathogens in wheat (Birr et al. , 2020). For these two species, anti-sporulating, anti-germinating and effect on the fungal mycelial development were investigated as well as the occurrence of internalization of the peptide within the fungal cells. Finally, the efficiency of TC3 to reduce FHB disease was tested using detached-leaf assays and a highly virulent F. graminearum strain. 2. Material and methods 2.1. Synthesis of tick y-core (TC3) and fluorescent dye-labeled peptide FITC-TC3 TC3 is the γ-core of the Ixodes ricinus defensin DefMT3 (GenBank accession number: JAA71488). TC3, whose chemical formula is C 69 H 121 N 21 O 17 S 3 , is a linear peptide characterized by a molecular weight of 1613 Da that contains 14 amino acids (CGNFLKRTCICVKK). Peptide synthesis was commissioned to Pepmic (Suzhou, China) which uses solid-phase peptide synthesis (SPPS) to obtain highly pure peptides as previously described (Leannec-Rialland et al. , 2021). The peptide ‘TC3-FITC’ was synthesized following the same protocol used for TC3 but the fluorescent label fluorescein isothiocyanate (FITC) was incorporated at the N-terminal end with the spacer 1,6-aminohexanoic acid (Ahx). Peptides were purified by reverse phase HPLC and peptide sequence was confirmed by electrospray mass spectroscopy (ESI-MS) using a mass spectrometer LCMS-2020 (Shimazu, Kyoto, Japan) (Leannec-Rialland et al., 2021). 2.2. Fusarium strains Several Fusarium strains ( n = 31) of six different FHB causing species were used in this study. These strains together with information relative to their origin and capacity to produce mycotoxins are summarized in Table 1. The strains from INRAE-Bordeaux MycSA collection are deposited in the International Center for Microbial Resources - Filamentous Fungi (CIRM-CF, http://www6. inra.fr/cirm_eng/Filamentous-Fungi/Strains-catalogue, Marseille, France). Table 1. Fungal species and strains used in this study. DON: deoxynivalenol, A-DON: acetyldeoxynivalenol, NIV: nivalenol, FX: fusarenone X, ZEA: zearalenone, ENNs: enniatins, BEA: beauvericin, T-2: toxin T-2, HT-2: toxin HT-2, DAS: diacetoxyscirpenol and MAS: monoacetoxyscirpenol. Spore suspensions were prepared using a Carboxylmethyl Cellulose (CMC) medium following the procedure described by Savignac et al. (2023). Spores were counted on a Malassez cell before immediate use. 2.3. Liquid fungal cultures Liquid-cultures were performed in 24-well static plates. Each well containing 2 mL of a mycotoxin synthetic (MS) medium (20 g/L glucose, 0.5 g/L KH 2 PO 4 , 0.6 g/L K 2 HPO 4 , 17 mg/L MgSO 4 , 1 g/L (NH 4 ) 2 SO 4 , 0.1 mL/L Vogel mineral salts solution) supplemented or not with TC3, was inoculated with 2.10 4 spores/mL. The 50 µM TC3 concentration used throughout the study was selected according to previous results (Leannec-Rialland et al. , 2021). For the experiments comparing the susceptibilities of strains, TC3 was supplied before strain inoculation. For kinetic experiments with TC3 added at different times pre- and post-inoculation, TC3 was added at 0, 1, 3 and 5-days post inoculation. Fungal liquid cultures were incubated at 25 °C in the dark for 10 days. Six biological replicates were processed for each condition. Controls using non-supplemented control media and non-inoculated control media were included. Following incubation, mycelia were recovered by centrifugation and fungal biomass was measured by weighing the mycelia after 48 h of freeze-drying (Flexi-Dry, Oerlikon Leybold, Germany). Culture supernatants were stored at -20 °C until mycotoxin analysis. Mycotoxins were extracted from supernatants of liquid cultures according to a protocol adapted from Leannec-Rialland et al. (2021). Briefly, 1 mL sample of culture medium was extracted with 2 mL of ethyl acetate. A volume of 1.5 mL of the organic phase was evaporated to dryness at 45 °C under nitrogen flux. Dried samples were dissolved in 200 µL of methanol/water (1/1, v/v) and filtered through a 0.2 µm filter before analysis. TCTB produced by F. graminearum strains were analyzed by HPLC/DAD using the method described in Leannec-Rialland et al. (2021). For all other toxigenic isolates ( F. culmorum , F. avenaceum , F. tricintum , F. poae and F. langsethiae ), mycotoxins were analyzed using a multi-mycotoxin LC-HRMS method. Analyses were performed with a Q-Exactive Focus mass spectrometer (Thermo Fisher Scientific, Bremen, Germany) equipped with a heated electrospray ionization (HESI) source and a Vanquish UHPLC System (Thermo Fisher Scientific, Bremen, Germany). Separation was achieved on a Thermo Scientific™ Accucore™ aQ C18 Polar Endcapped column (2.1 × 100 mm, 2.6 μm) (Thermo Fisher Scientific, USA) maintained at 40 °C. The mobile phase consisted of water/methanol (98/2, v/v) with 10 mM AcNH 4 and 0.1% acetic acid (solvent A) and methanol/water (98/2, v/v) with 10 mM AcNH 4 and 0.1% acetic acid (solvent B). Thirteen mycotoxins (Table 2) were separated using the following elution gradient: 0-2% B in 2 min, 2% B for 0.5 min, 2-98 % B in 4.5 min, 98 % B for 4.7 min, 98-2 % B in 0.1 min and 2% B for 2.8 min. The flow was kept at 0.4 mL min −1 . The injection volume was set to 2 μL. TheTraceFinder software (version 5.0.889.0) was used to control the LC-MS system and to acquire and process data. The mass spectrometer was operated in the positive ESI mode with 70k resolving power full scan acquisition in the 150-1000 m/z range. Nitrogen was used as the sheath and auxiliary gas. The main MS parameters were optimized and finally set as follows: sheath gas flow rate, 50 a.u; auxiliary gas flow rate, 13 a.u.; sweep gas flow rate, 0 a.u.; spray voltage, 3.5 kV; capillary temperature, 320 °C; S‑lens RF level 50%; auxiliary gas heater temperature, 350°C. LC-HRMS parameters associated with the multi-mycotoxin method are gathered in Table 2. Quantification was performed by external calibration with standard solutions of ENNs (A, A1, B, B1), BEA, DON, ADON, NIV, FX, ZEA, T-2, HT-2, and DAS. (Romer Labs, Getzersdorf, Austria). Toxin yields were expressed in μg/g of fungal dry biomass. Table 2. LC-HRMS parameters for the quantification of mycotoxins, including the retention time, analyte formula, and ion m/z (extracted with a 3 ppm tolerance) for quantification and confirmation. Mycotoxin Retention time (min) Formula Ion for quantification (m/z) Ion for confirmation (m/z) Acetyl-deoxynivalenol 3.85 C 17 H 22 O 7 361.1258 339.1438 Beauvericin 6.22 C 45 H 57 N 3 O 9 801.4433 806.3987 Diacetoxyscirpenol 4.50 C 19 H 26 O 7 389.1571 384.2017 Deoxynivalenol 2.90 C 15 H 20 O 6 319.1152 297.1333 Enniatin A 6.35 C 36 H 63 N 3 O 9 699.4903 704.4456 Enniatin A1 6.30 C 35 H 61 N 3 O 9 685.4746 690.4300 Enniatin B 6.10 C 34 H 59 N 3 O 9 657.4433 662.3987 Enniatin B1 6.30 C 34 H 59 N 3 O 9 671.4590 676.4143 Fusarenone X 3.90 C 17 H 22 O 8 377.1207 355.1387 Nivalenol 2.30 C 15 H 20 O 7 335.1101 313.1282 Toxin T-2 5.10 C 24 H 34 O 9 489.2095 484.2541 Toxin HT-2 4.95 C 22 H 32 O 8 447.1989 442.2435 Zearalenone 5.40 C 18 H 22 O 5 341.1359 319.1540 2.4. TC3 efficiency in detached leaf assays Experimental design The F. graminearum CBS 185.32 strain was used and conidia solutions were prepared as described in Leannec-Rialland et al. (2021). Leaf segments of 6 cm were cut from the tip of the first leaves of 10-day-old seedlings. The leaves were wounded using a 10-µL sterile pipette tip in the center before placing them on water agar plates amended with 40 mg/L benzimidazole. To assess the effects of TC3 on the infection and mycotoxin production by F. graminearum , 10 µL of TC3 125 µM were transferred to the center of detached leaves followed by 1 µL of spore suspension (10 6 spores/mL). Sterile water (10µL) was used as a control. Images were taken at 3, 4, and 5 days after infection (dai). The infection severity was assessed via necrosis areas using FIJI software. At 5 dai, for each treatment, three leaves were pooled into one sample and dried overnight by lyophilization. Each sample was divided into two subsamples (5mg each); one was used for quantification of total fungal DNA and the other one for mycotoxin analysis. Three biological replicates were done per treatment. Mycotoxin analysis The procedure was adapted from a previously published protocol (Nicaise et al. , 2022). Briefly, 5 mg of ground wheat leaf was extracted with 1.5 mL of ethyl acetate supplemented with 1% formic acid and agitated for 1 hour. A volume of 1.3 mL of the organic phase was collected after 5 min of centrifugation at 4800 rpm and evaporated to dryness at 45 °C under nitrogen flux. Dried samples were dissolved in 125 µL of methanol/water (1/1, v/v) and filtered through a 0.2 µm filter before analysis. TCTB and zearalenone were quantified by HPLC–DAD (same protocol as described previously in Leannec-Rialland et al. , 2021). Toxin yields were expressed in μg/g of dried leaf. Fungal DNA quantification The protocol was adapted from Nicaise et al. (2022). DNA extraction was processed from 5mg of freeze-dried wheat leaf ground with a TissueLyser II (Qiagen, Venlo, The Netherlands), using the NucleoMag Plant kit (Macherey-Nagel, Hoerdt, France) according to the manufacturer’s instructions. The quality and quantity of the prepared DNA were assessed by spectrometry (DeNovix, DeNovix Inc, Wilmington DE, USA) and the concentration was adjusted to 20 ng/μL with nuclease-free water. Fusarium and wheat DNA contents in each sample were measured by quantitative polymerase chain reaction (qPCR) with SYBR green detection using a QuantStudio5™ (ThermoFisher Scientific, Vantaa, Finland). Fusarium DNA abundance was assessed by the quantification of the beta-tubulin gene and wheat DNA abundance using the Rubisco gene (primers reported in Table 3). Each qPCR consisted of 5 mM MgCl2, 0.5 μM primers, 20 ng of purified DNA and 2 μL of 1X QuantiFast SYBR Green PCR Master Mix (Qiagen) in a final volume of 10 μL. The amplification conditions consisted of a first denaturation step for 5 min at 95°C, followed by 40 cycles of 15 s at 95 °C and 40 s at 60°C. The melting curve was generated using the following profile: 0 s at 95 °C, 15 s at 60 °C, 0 s at 95 °C (linear temperature transition from 65°C to 95°C at 0.1°C. s −1 ), and 30 s at 4 °C. All the reactions were performed in triplicate. Quantification was performed using external calibration curves with standard solutions of F. graminearum DNA extracted from pure cultures and wheat DNA extracted from an uncontaminated wheat sample. Relative quantification of the presence of fungal DNA in the tested sample was calculated as the quantity of fungal DNA/quantity of wheat DNA. Table 3. Primers used for DNA quantification in detached leaf assays Gene Forward primer sequence (5' to 3') Reverse primer sequence (5' to 3') Beta-tubulin GGTAACCAAATCGGTGCTGCTTTC GATTGACCGAAAACGAAGTTG Rubisco CCCAAAGATTTCGGTCAGAG AAGATCGTGCTCCCGGTAT 2.5. Sporulation and germination assays The F. graminearum strain CBS 185.32 and the F. avenaceum strain INRAE 498 were used for these assays. For conidiation assays, one mycelial plug (5 mm in diameter) of each strain, taken from the periphery of a 7-day old colony grown on PDA plates was inserted in a 50 mL-filter screw cap conical tube containing 10 mL of CMC medium supplemented or not with TC3 at 25 and 50 µM, and incubated for up to three days at 25°C and 180 rpm in the dark in an Infors Multitron (INFORS-HT). After three days, the spore solutions were filtered through a sterile cell strainer 40µm (FisherBrand TM ), then spores were counted in a Malassez cell counting chamber under a microscope (three independent counts per sample). Three biological replicates for each condition were done. Three counts for each biological replicate were processed and the value for one biological replicate is represented as the mean of the three counts. For germination assays, conidia of Fusarium spp. were prepared by transferring 4 fungal agar plugs (5 mm in diameter) into 20 mL CMC medium and incubation at 200 rpm and 25 °C for three days. The conidia were harvested by filtration through a sterile cell strainer 40µm (FisherBrand TM ) followed by centrifugation at 4000 rpm for 20 min. The conidial pellet was resuspended with sterile water and diluted to reach 10 6 spores/mL. To assess the effect of TC3 on germination, 20 µL of spore suspension was added to 0.5 mL tubes containing 200 µL of MS medium supplemented with TC3 at 25 and 50 µM or with water as a control. The tubes were incubated at 25 °C in the dark. The effect of TC3 on conidial germination was assessed at 0, 4, and 8 hours after inoculation (HAI). Then spores were counted in a Malassez cell counting chamber under a microscope (two independent counts per biological repetition) and the number of germinated spores was determined by observation. The density of spores was determined for each sample to confirm the comparability of the results. Three biological repetitions were done for each condition. 2.6. Fluorescence microscopy assays The F. graminearum strain CBS 185.32 and the F. avenaceum strain INRAE 498 were considered in this assay. 10 4 spores/mL of F. graminearum and F. avenaceum , prepared in CMC medium as previously described, were incubated for 45 minutes in MS medium supplemented with TC3 labeled with the fluorophore fluorescein isothiocyanate (FITC) at 25 µM and with 5 µg/mL FM 4-64 prepared according to the supplier’s recommendations. The imaging was performed using a confocal microscope (Zeiss LSM 880) equipped with an Apochromat 63X/1.4 oil objective. Laser excitation lines for the different fluorophores were 488 nm for TC3-FITC or FM4-64. Fluorescence emissions were detected at 490–561 nm for FITC and 642–695 nm for FM4-64. In multi-labeling acquisitions, detection was in sequential line-scanning mode with a line average of 4. Confocal microscope images were processed using the Zen Black Software (V2.3 Zeiss) for intensity optimization. 2.7. Statistical analyses All presented values are mean ± standard deviation including six biological replications (liquid cultures) or three biological replications (detached leaf assay, sporulation and germination assays). Since the data were non-normally distributed (Shapiro–Wilk normality test), the Kruskal–Wallis one-way analysis was used, with mean comparisons performed using the Mann–Whitney U test. Statistical analysis was conducted with R (version 4.2.0 ) (R Core Team) and figures were produced using the package ggplot (Wickham 2016). Statistical significance was considered at p < 0.05 and p < 0.01. 3. Results 3.1. Species- and strain-dependent antifungal activity of TC3 The peptide TC3 was first tested at 50µM against a set of five isolates belonging to each of the six Fusarium species frequently associated with FHB: F. graminearum , F. avenaceum , F. tricinctum , F. langsethiae , F. poae , and F. culmorum . Fungal biomass data in control and TC3-treated 10-day old cultures are reported in Fig. 1. Figure1: Effect of TC3 at 50 µM on the fungal biomass weight in 10-day old cultures of five strains belonging to the species F. graminearum (in blue), F. culmorum (in orange), F. langsethiae (in green), F. avenaceum (in brown), F. tricinctum (in red) and F. poae (in grey). Reported data are means and standard deviation values. Results in control (C) and TC3-treated (TC3) groups within each species were compared by Mann–Whitney U test (**** p < 0.0001; ** p < 0.01; * p < 0.05 ). Results displayed in Fig. 1 indicated a significant reduction in fungal biomass induced by the TC3 treatment for four of the five considered F. graminearum strains (INRAE 164, CBS 185.32, INRAE 605 and PH-1). Inhibition percentages were ranging between 50% (PH-1) and 80% (CB18.532). For the 34W23.23.4 isolate, a reduction trend in biomass was also suggested by our data; this decrease was however not statistically different in comparison to the control. As shown in Fig. 1, a significant reduction (from 30–100%) of fungal biomass yield in TC3-supplemented media was observed for all the tested F. culmorum isolates. Similarly, the growth of most of the studied F. poae isolates was affected by the peptide. Indeed, only the INRAE 172 strain did not show a reduced biomass when exposed to TC3. When considering F. langsethiae , results reported in Fig. 1 indicated that TC3 supplementation led to a decreased mycelium weight for the three isolates that have shown a sufficient amount of biomass in 10-day-old broths (INRAE 493, INRAE 502, INRAE 509). According to data associated with the panel of F. avenaceum isolates, a significant reduction in fungal biomass yield was observed for only two strains, INRAE 112 and INRAE 495. The reduction in fungal growth was close to 33% (p < 0.05) for INRAE 112 and 44% ( p < 0.01) for INRAE 495 compared to their respective control groups. The fungal biomass of strains INRAE 113, INRAE 498 and FaLH27 was not affected by the defensin γ-core. Results were quite similar for the F. tricinctum species (Fig. 1) where the growth of only two among the five tested isolates was significantly impacted by TC3 supplementation. Overall, while evidencing the wide antifungal activity of TC3 against various Fusarium species causing FHB, our data also suggested that the F. avenaceum and F. tricinctum species could be less susceptible to the peptide than F. graminearum, F. culmorum, F. poae and F. langsethiae. 3.2 Species- and strain-dependent capacity of TC3 to decrease mycotoxin yield Results of mycotoxin quantification in liquid cultures, supplemented or not with TC3, inoculated by each of the five strains of the different Fusarium species ( F. graminearum, F. culmorum, F. langsethiae, F. avenaceum and F. tricinctum ) are gathered in Fig. 2 . No data related to F. poae have been reported in Fig. 2 since, in our experimental conditions, no detectable level of any mycotoxins (NIV, FX, DAS, MAS, T2, HT2, ENNs, BEA) was observed after 10 days in control and TC3-treated cultures, whatever the F. poae inoculated strain. Figure 2: Effect of TC3 at 50 µM on the production of TCTB by five strains of F. graminearum (2a in blue) and F. culmorum (2b in orange), of TCTA by five strains of F. langsethiae (2 c in green) and of ENN by five strains of F. avenaceum (2d in brown) and F. tricinctum (2e in red) in 10-day-old broths. Mycotoxins are expressed as µg per g dry biomass. The results shown are means and standard deviation values. Results in control (C) and TC3-treated (TC3) groups for each isolate were compared by Mann–Whitney U test (** p < 0.01, * p < 0.05). Regarding the production of TCTB (DON + 15ADON) by F. graminearum (Fig. 2 a), the levels of mycotoxins produced by the strains INRAE 164 and 34W23.23.4 in control conditions were below the limit of quantification of the HPLC-DAD method. For the three strains for which a quantifiable amount of toxins was observed in untreated conditions, the supplementation with TC3 led to a reduction of TCTB yields. This reduction was statistically significant and drastic for CB18.532 and PH-1 strains, and not significant for INRAE 605 strain. Regarding F. culmorum cultures, quantified mycotoxins were in accordance with strain chemotype, i.e . NIV + FX for INRAE 121, INRAE 123 and INRAE 134, and DON + 3-ADON for INRAE 124 and INRAE 125. A strong reduction of TCTB in TC3-treated conditions was observed for INRAE 121 and INRAE 134 while for INRAE 124 and INRAE 125, no effect and even an increase in TCTB concentrations was noticed. T-2 and HT-2 were quantified in three of the five 10-day old cultures of F. langsethiae (Fig. 2 c) and the peptide treatment was shown to significantly and negatively affect the production of mycotoxins by two strains, INRAE 466 and INRAE 509. Regarding the production of ENNs by F. avenaceum (Fig. 2 d), three strains were capable of producing quantifiable amounts of ENNs in our experimental conditions. For these three strains, a significant inhibition of ENNs yield induced by TC3 was only observed for INRAE 498. On the contrary, an increase in ENNs accumulated in TC3-supplemented broths was observed for INRAE 495 and FaLH27 strains. It should however be noticed that the production of ENNs by INRAE 495 strain was very weak, lower than 10 µg/g. Finally, regardless of the considered F. tricinctum strain, its production of ENNs was never significantly affected by TC3-treatment (Fig. 2 e). Overall, according to data gathered in Fig. 2 , it seems that there is much more variability when considering the TC3 impact on mycotoxin yield than when studying its fungicidal activity. Moreover, the production of ENNs appeared as less affected by the presence of TC3 in liquid medium than that of trichothecenes, either TCTB or TCTA. 3.3. Fungicidal and anti-mycotoxin properties of TC3 at different fungal life cycle stages of F. graminearum Figure 3. Effect of TC3 at 50 µM added at different days post-inoculation on F. graminearum. Kinetics of F. graminearum CBS 185.32 growth without treatment (a). The arrows represent the supplementation day for the test of TC3 on different life cycle stages: brown arrow for the supplementation at o dpi, green arrow for supplementation at 1 dpi, blue arrow for supplementation at 3 dpi and pink arrow for supplementation at 5 dpi. Effect of TC3 at 50 µM (added at 0, 1, 3 and 5 dpi) on the fungal biomass weight of F. graminearum CBS 185.32 (b) and the production of TCTB (c) in 14-day-old broths. Results in control (C) and TC3-treated (TC3) groups were compared to the control by Mann–Whitney U test (** p < 0.01; ns: not significant). To determine the effect of the peptide TC3 according to the life cycle stage of F. graminearum CBS 185.32, TC3 was supplemented before fungal inoculation (0 dpi), at 1 and 3 dpi (during the exponential phase of growth) and at 5 dpi (inflection of the growth kinetics). Results are reported in Fig. 3 . It clearly appears that TC3 induced a significant inhibition of fungal growth and mycotoxin yield only when it was applied at 0 dpi (at the spore stage). For all other conditions, i.e. when the peptide was applied when the mycelium started to develop (1 dpi), during the exponential phase of growth (3 dpi), or at the beginning of growth kinetics inflection (5 dpi), no effect was observed regarding both fungal growth and mycotoxin production. These results suggested that the F. graminearum spore germination stage is the only susceptible stage to the TC3 peptide. 3.4. Effects of TC3 on F. graminearum and F. avenaceum sporulation and germination To clarify the effect of TC3 on the early stages of fungal development, anti-sporulation and anti-germination assays were conducted using the F. graminearum CBS 185.32 strain and, as a comparison, F. avenaceum INRAE 498 (Figs. 4 and 5 ). As a reminder, the fungal biomass of INRAE 498 was not affected by the presence of TC3 in liquid cultures (Fig. 1). Figure 4. Effect of TC3 at 0 µM, 25 µM, and 50 µM on the number of spores of F. graminearum CBS 185.32 (a) and F. avenaceum INRAE 498 (b) in 3-day-old CMC medium. Results shown are means and standard deviation values. Results in control and TC3-treated groups within each species were compared by Mann–Whitney U test (ns: not significant). One mycelial plug of each studied strain was incubated in CMC conidiation medium supplemented with TC3 at 0, 25 and 50 µM for 3 days. The numbers of counted spores in each condition and for each strain are reported in Fig. 4 . The peptide TC3 induced a dose-dependent anti-sporulation effect on F. graminearum (Fig. 4 a). The mean number of spores was 32.10 4 spores/mL in control conditions while this number was reduced to 16.10 4 spores/mL with 25 µM TC3 and 9.10 4 spores/mL with 50 µM TC3. This inhibition effect was however not statistically significant, certainly as a result of the large standard deviation and insufficient number of biological repetitions. When considering F. avenaceum INRAE 498, it clearly appeared that the TC3 peptide had no effect on its sporulation (Fig. 4 b). Figure 5. Effect of TC3 at 25 µM and 50 µM on the percentage of germinated spores relative to the total spores of F. graminearum CBS 185.32 (a) and F. avenaceum INRAE 498 (b) at 0, 4 and 8 HAI. Results shown are means and standard deviation values. Results in control and TC3-treated groups within each species were compared by Mann–Whitney U test (* p < 0.05; ns: not significant). To determine the effect of the antifungal peptide TC3 on Fusarium spore germination, a similar concentration of spores (4.10 4 spores/mL) of F. graminearum CBS 185.32 and F. avenaceum INRAE 498 were incubated in presence of TC3 25 and 50 µM and the number of germinated spores was counted within 8 hours. Results are reported in Fig. 5 . When first looking at the spore germination kinetics of F. graminearum in control medium, data indicate that 30% and 60% of the spores were germinated after 4h and 8h incubation, respectively (Fig. 5 a). Treatment with TC3 led to a sharp and dose-dependent inhibition of spore germination. At 4 HAI, the percentage of germinated spores was 9% ( p < 0.05) and 1% ( p < 0.05) for 25µM and 50µM TC3 treatments, respectively, compared to the control. This effect was even more pronounced at 8 HAI: while 60% of germinated spores were recorded in the control condition, this percentage was reduced to 16% ( p < 0.05) and 3% ( p < 0.05) with TC3 at 25µM and 50µM, respectively. When focusing on F. avenaceum INRAE 498, data reported in Fig. 5 b clearly indicate that, in our experimental conditions, the kinetics of spore germination was significantly delayed compared to that of F. graminearum CBS 185.32. Indeed, no germinated spores were detected in control at 4 HAI. Germination appeared to start between 4 and 8 h of incubation, and reached 60% at 8 HAI. However, as it has been observed for F. graminearum , TC3 at both 25 and 50 µM was able to drastically inhibit the germination of F. avenaceum spores. To summarize, TC3 possesses an anti-sporulation activity against F. graminearum but not against F. avenaceum and a significant capacity to inhibit spore germination for both isolates. This inhibition of spore germination is associated with a reduction of fungal biomass in 10-day-old broths of F. graminearum but not for F. avenaceum (Fig. 1). 3.5. TC3 is recruited by the cell envelope of F. graminearum and F. avenaceum spores To investigate the interactions of the TC3 peptide with the spores of F. graminearum CBS 185.32 and F. avenaceum INRAE 498 and visualize the potential internalization of TC3 within the fungal cell, a fluorescence microscopy assay was implemented with the use of a TC3 peptide labeled with a fluorescent reagent. The fluorescein isothiocyanate (FITC) was selected due to its high luminous yield, a rather low molecular weight (389 Da) and the fact that FITC possesses the same excitation wavelength with the fluorescent stain FM4-64 (488 nm) but different emission wavelength. Indeed, spores were simultaneously treated with TC3-FITC and FM4-64. FM4-64 is known to insert into the outer leaflet of the fungal plasma membrane. Germinated spores were never visualized in any of the TC3-FITC incubation tests of up to four hours in duration, supporting the anti-germination activity of TC3-FITC. Figure 6. Fluorescence microscopy of F. graminearum (a, b, c) and F. avenaceum (d, e, f) spores in presence of TC3 peptide. The peptide was labeled with FITC observed in green and with the fluorescent dye FM4-64 in red. (c and f). The merged pictures present cross-section observations (c1, c2, f1, and f2) of the spores with an orthogonal view from different planes (x/y, x/z or y/z). F. graminearum and F. avenaceum were observed with a Plan-Apochromat at resolution 63X/1.4 oil. Within 45 min of treatment, TC3-FITC was found to bind on the conidial surface for the two studied species (Fig. 6 ). The interaction was characterized by a homogeneous distribution of the green fluorescent signal along the hyphae and septa. In order to reach a more accurate location of the FITC-TC3 peptide at the cellular envelope, spores were treated with a mixture of FITC-TC3 and FM4-64. Membranes stained by FM4-64 were clearly visualized, including membranes around organelles (red fluorescence in Fig. 6 ). But no green fluorescence within the fungal cells (Figs. 6 .c1 and 6.c2, Figs. 6 .f1 and 6.f2) was observed regardless of the considered Fusarium species, suggesting that TC3-FITC was not internalized. Besides, the green patches observed in Figs. 6 b and 6 c reflect the possible occurrence of peptide aggregation. 3.5 Detached leaves assays support the in planta efficiency of TC3 against F. graminearum Bioactivity of TC3 was further investigated on wheat detached leaves inoculated with the DON/15-ADON F. graminearum CBS 185.32 strain. Results are reported in Fig. 7 . Figure 7: Results of detached leaf assays. a - Necrosis surfaces (in mm2) on wheat leaves inoculated with F. graminearum pre-treated with TC3 125 µM (in blue) or with sterile water (in grey). Significant differences are labeled with different letters (p<0.05). b - Quantification of fungal DNA (5 days post inoculation) extracted from wheat leaves pre-treated (in blue) or not (in grey) with TC3 125 µM. Significant differences are labeled with different letters (p<0.05). The capacity of TC3 125 µM to reduce the disease symptoms induced by F. graminearum was significant when comparing the necrosis surfaces between the different treatments, as shown in Fig. 7 a. Moreover, fungal DNA quantification allowed to demonstrate the efficiency of the TC3 treatment to inhibit the spread of F. graminearum on wheat leaves (Fig. 7 b). Regarding mycotoxins in inoculated wheat leaves, only traces of DON (below the quantification limit of the LC-DAD procedure used in this study) were observed in control conditions (data not shown). 4. Discussion The present study demonstrates that the γ-core motif TC3 reduces the growth of numerous of the Fusarium species causing FHB, including F. graminearum , F. culmorum , F. poae and F. langsethiae . However, while confirming previously published data on the efficiency of TC3 towards F. graminearum (Tonk et al., 2015 ; Leannec-Rialland et al., 2021 ), the present study also showed that the sensitivity of mycotoxin-producing fungi varies according to the species and also the strain. Such differences in fungal species susceptibilities to defensins have already been described and are discussed in the review of Leannec-Rialland et al. ( 2022 ). For instance, in the study of Theis et al. ( 2003 ), F. sporotrichioides species was significantly more susceptible to a defensin originating from Aspergillus giganteus than F. culmorum . According to our data, the growth of F. avenaceum and F. tricinctum , two species known as weak fungal pathogens (Birr et al., 2020 ) appear to be much less affected by the TC3 treatment than the other tested Fusarium species, and particularly compared to the two aggressive F. graminearum and F. culmorum species. Surprisingly, according to our results, this lower susceptibility seemed not related to differences in the capacity of TC3 to inhibit the germination of spores. We could imagine that TC3 induces a delayed germination rather than a stop and/or that the residual number of F. avenaceum germinated spores in TC3 treated conditions is sufficient to initiate a mycelium growth that will rapidly offset the germination inhibitory effect of TC3. This hypothesis requires however to be demonstrated. Nevertheless, such a lower susceptibility to antifungal compounds of F. avenaceum compared to that of other species of the FHB complex has already been reported in previous studies (Tini et al., 2020 ). Using in vitro and field trials and a set of strains of the F. graminearum , F. culmorum , F. poae and F. avenaceum species, the aforementioned authors have demonstrated the reduced susceptibility of F. avenaceum to various synthetic fungicides and notably to metconazole. Mechanisms explaining the differential efficiency of fungicides towards species of the FHB complex are poorly understood. One explanation could be related to a differential equipment in efflux pumps between the species/strains. However, this hypothesis still needs to be validated. Moreover, our data illustrated that TC3 was not only capable of affecting the fungal growth but also the production of various mycotoxins by most of the species involved in FHB. In addition to an inhibition of DON and 15-ADON yield, TC3 supplementation was shown to induce decreased amounts of NIV and FX, T-2 and HT-2. A reduction of ENNs yield induced by TC3 was however observed for only one ENNs-producing strain among the 10 tested. The observed reduction in mycotoxin production was not systematically associated with an inhibition of fungal biomass suggesting that the two effects could be independent. Such a result corroborated previous data published on the activity of TC3 (at lower concentrations than those used in the present study) towards F. graminearum and DON + 15-ADON production (Leannec-Rialland et al., 2021 ). Similarly to TC3, various antifungal peptides have also been reported as specific mycotoxin-production inhibitors with a capacity to control the yield of mycotoxins without affecting the fungal growth (Martínez-Culebras et al., 2021 ). The mechanisms underlying this specific effect are still not completely understood; one of the most frequent explanation is related to the capacity of antifungal peptides to affect the transcription of key genes or the enzymatic activity of key proteins involved in the biosynthesis of mycotoxins (Martínez-Culebras et al., 2021 ). Other hypotheses are based on the alterations of cellular pH or ROS levels triggered by exposition to antimicrobial peptides (Leannec-Rialland et al., 2022 ); pH and redox status being two key factors acknowledged to affect the production of some mycotoxins including TCTB and TCTA (Wang et al., 2022 ). Altogether, our results, that have documented the species and strain-dependent effect of TC3, raise a potential concern of shifts in FHB community induced by a TC3-based plant care treatment applied during cereal cultivation. An overrepresentation of F. avenaceum and potentially an increase in ENNs contamination levels cannot be excluded. Such unexpected effects mediated by fungicide treatment has already been documented. In their report, Audenaert et al. ( 2011 ) indicated that the application of azole fungicides in wheat fields caused a shift in Fusarium population with F. poae (more resistant to azole fungicides) being dominant and replacing F. graminearum . Besides, not only different susceptibilities to a biosolution but also the occurrence of interactions between the Fusarium species that share a common niche when infecting cereals require consideration. Yet, a recent publication of Tan et al. ( 2021 ) has demonstrated that the biocontrol capacity of actinobacteria against F. graminearum was critically hampered by the presence of F. poae and has highlighted the limits of single-strain and/or single-species approaches. In this direction, our future perspective is to evaluate the antifungal and anti-mycotoxin efficiency of TC3 in the context of multi-species infections involved in FHB complex considering their interactions. According to our data, the conidiation and germination stage of F. graminearum and only the germination stage for F. avenaceum were sensitive to the γ-core motif TC3. The peptide did not appear to affect the mycelial growth. These data corroborate previous results published by Tonk et al. ( 2014 , 2015 ) who have highlighted the anti-germination activity of Ixodes scapularis and Ixodes ricinus defensins. They also support the frequently reported observation that the fungal germination stage is the most sensitive developmental stage to antifungal compounds including phenolic compounds (Ahmed et al., 2022 ). Similarly, strobilurin fungicides, which block electron transport at the site of quinol oxidation in the cytochrome bc1 complex of the mitochondrial electron transport chain, are highly efficient inhibitors of spore germination but much less active to prevent mycelial growth (Bartlett et al., 2002 ). On the contrary, some fungicides are reported as more active on mycelial growth than on spore germination. This is for instance the case for azole fungicides that are inhibitors of ergosterol biosynthesis (Hof, 2001 ). Because of the anti-germination effect of TC3 and its lack of fungicidal activity, use of TC3-based plant protection products could only be considered as a potential solution to prevent plant infection by Fusarium species and not as a treatment. According to our previously published study (Leannec-Rialland et al., 2021 ), the γ-core motif TC3 was predicted to interact with specific membrane phospholipids of F. graminearum . However, the membrane composition used for this in silico prediction was based on old data, published in 1989 (Wiebe et al., 1989 ), and no further information on F. graminearum membrane composition has been delivered since. Using a fluorescent labeled TC3 peptide, the microscopy observations obtained in the present study seem to corroborate the TC3 interactions with F. graminearum membranes. But, unfortunately, our experimental conditions did not allow a definitive conclusion about whether the TC3 fixation was happening at the fungal cell wall or the plasma membrane. Three models describe the potential membrane-permeabilizing activity of defensins through the interaction with host membrane components (Brogden, 2005 ). TC3 appeared to accumulate on the surface of the spores and to surround them. This evokes a carpet-like interaction, which is one of the described modes of interaction of defensins with fungal membranes (Leannec-Rialland et al., 2022 ). With this hypothesis, TC3 could induce dysfunctions of calcium influx and potassium efflux. Besides, with the concentration of labeled peptide and the time of application used in this study, no internalization of the peptide was evidenced. Since defensin internalization has been shown as time and concentration dependent (Tetorya et al., 2022 ), we can however not exclude that TC3 internalization could occur when applying other experimental conditions. While the scientific insights reported in the present study corroborate the promising potential of the TC3 peptide to be used as a biopesticide solution to control FHB disease and minimize dependence to synthetic fungicide, this progress should however not hide several barriers that need to be addressed before the development of a plant protection product. The first one is related to efficiency and stability. Actually, compared to commonly used synthetic fungicides including tebuconazole and carbendazim, TC3 is significantly less efficient (5-fold less efficient to repress F. graminearum growth according to the in vitro assays used throughout this study). This efficacy can also be compromised by proteolytic degradation and oxidation (Leannec-Rialland et al., 2021 ) and formulation improvement will be required to protect and potentially enhance TC3 bioactivity. A second barrier results from uncertainties concerning possible toxic effects of TC3 to mammals and environment. Indeed, despite evidence supporting the lack of in vitro cytotoxicity of defensins (Benitez-Chao et al., 2021 ), a comprehensive toxicity assessment will be required to avoid risk and health hazards related to the use of TC3 as a plant protection product and allow registration by competent authorities. Additional work is also needed to provide further understanding of TC3 mechanism of action and investigate its potential effects on non-target organisms and therefore its lack of hazardous impacts on environment. Regarding non-target effects on microorganisms, first promising data have been obtained by Tonk et al ( 2015 ) who reported that, compared to native Ixodes ricinus defensins, their γ-cores have less effects on distantly-related bacteria and fungi. The issue of a large-scale and cost-effective TC3 production is another key challenge that should be overcome. To that end, finely-tuned recombinant approaches are expected to open up promising avenues (Leannec-Rialland et al., 2022 ). Lastly, the lengthy and complex product approval processes in the EU can pose another barrier to efficient market access for functional peptide-based biosolutions such as a TC3-based one (Montesinos, 2023 ). The balance between benefits related to the biofungicide use and cost of the product development needs to be sufficiently positive to convince plant protection companies to invest in expensive and time-consuming regulatory registration procedures. 5. Conclusion The γ-core motif of the defensin DefMT3 from Ixodes ricinus is a potent antifungal peptide that inhibits the fungal growth and mycotoxin production of various Fusarium species when applied at the spore stage. The peptide can bind on the outer parts the spores and is likely to interfere with fungal cell ionic exchanges, which is certainly one of the first hypothesis that can explain its bioactivity. By increasing the knowledge on the effect and mechanisms of action of the TC3 peptide and proving its bioactivity using in planta assays, the current study supports the promising use of defensin-based products as environment-friendly treatments for controlling FHB. However, the demonstrated species-dependent efficiency of the peptide raises the concern of potential shift in the Fusarium populations such as in mycotoxin profiles contaminating grains mediated by its application in wheat fields. Further studies are required to support or negate the occurrence of such unintended effects. Statements & Declarations Acknowledgements: The authors would thank Maider Abadie and Lee Cutter for editing and proof reading this review. Author Contribution Statement: RFF and LRV conceived and designed research. LRV, MT and PGL conducted experiments. LRV, AV, CS, PGL, CCA and RFF analyzed data. LRV and RFF wrote the manuscript. All authors read and approved the manuscript. Funding: The research was financially supported by INRAE, MICA department (TickTox project, MICA20202021). Notes: The authors declare that there is no conflict of interest. References Ahmed OS, Tardif C, Rouger C, et al (2022) Naturally occurring phenolic compounds as promising antimycotoxin agents: Where are we now? Compr. Rev. Food Sci. 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Plant-Microbe Interact. 22:1143–1150. https://doi.org/10.1094/MPMI-22-9-1143 (2024)Commission Regulation (EU) 2024/1756 of 25 June 2024 amending and correcting Regulation (EU) 2023/915 on maximum levels for certain contaminants in food (Text with EEA relevance). https://eur-lex.europa.eu/eli/reg/2024/1756/oj Cite Share Download PDF Status: Published Journal Publication published 19 Feb, 2025 Read the published version in Journal of Plant Diseases and Protection → Version 1 posted Editorial decision: Accept 29 Jan, 2025 Reviewers agreed at journal 19 Dec, 2024 Reviewers invited by journal 19 Dec, 2024 Editor assigned by journal 09 Dec, 2024 First submitted to journal 06 Dec, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4995777","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":392291886,"identity":"58835959-8f67-4281-8e20-1667630797f3","order_by":0,"name":"Valentin Leannec-Rialland","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Valentin","middleName":"","lastName":"Leannec-Rialland","suffix":""},{"id":392291887,"identity":"1270b812-2613-4043-b828-37a9c91b3837","order_by":1,"name":"Vessela Atanasova","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Vessela","middleName":"","lastName":"Atanasova","suffix":""},{"id":392291888,"identity":"b97fabd3-954c-490e-872b-cd71ad7804e0","order_by":2,"name":"Alejandro Cabezas-Cruz","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Alejandro","middleName":"","lastName":"Cabezas-Cruz","suffix":""},{"id":392291889,"identity":"f9bb1f50-08e8-4903-bb8d-3a1e9563ddfe","order_by":3,"name":"Sylvain Chereau","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Sylvain","middleName":"","lastName":"Chereau","suffix":""},{"id":392291890,"identity":"52b10d07-f76c-44a1-9726-09c2d9fc129c","order_by":4,"name":"Tran Minh-Trang","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Tran","middleName":"","lastName":"Minh-Trang","suffix":""},{"id":392291891,"identity":"c6ec52eb-cad0-418c-94d6-b406c081ab68","order_by":5,"name":"Laetitia Pinson-Gadais","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Laetitia","middleName":"","lastName":"Pinson-Gadais","suffix":""},{"id":392291892,"identity":"81972361-b50c-4e04-96dc-a6cad9085331","order_by":6,"name":"Florence Richard-Forget","email":"","orcid":"https://orcid.org/0000-0002-9931-2287","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Florence","middleName":"","lastName":"Richard-Forget","suffix":""}],"badges":[],"createdAt":"2024-08-29 08:10:03","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4995777/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4995777/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s41348-025-01069-2","type":"published","date":"2025-02-19T15:56:51+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":71979809,"identity":"711ddd8b-1773-4db5-9e5b-21ece0ecfed7","added_by":"auto","created_at":"2024-12-20 09:42:06","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":156077,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eEffect of TC3 at 50 µM on the fungal biomass weight in 10-day old cultures of five strains belonging to the species F. graminearum (in blue), F. culmorum (in orange), F. langsethiae (in green), F. avenaceum (in brown), F. tricinctum (in red) and F. poae (in grey).\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eReported data are means and standard deviation values. Results in control (C) and TC3-treated (TC3) groups within each species were compared by Mann–Whitney U test (**** p \u0026lt; 0.0001; ** p \u0026lt; 0.01; \u003c/em\u003e* p \u0026lt; 0.05\u003cem\u003e).\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/dea153b28462db94eeda7c1d.png"},{"id":71978569,"identity":"3c9b773b-9461-4100-bd41-1f9fd8d99e83","added_by":"auto","created_at":"2024-12-20 09:34:06","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":260414,"visible":true,"origin":"","legend":"\u003cp\u003eEffect of TC3 at 50 µM on the production of TCTB by five strains of F. graminearum (2a in blue) and F. culmorum (2b in orange), of TCTA by five strains of F. langsethiae (2 c in green) and of ENN by five strains of F. avenaceum (2d in brown) and F. tricinctum (2e in red) in 10-day-old broths. Mycotoxins are expressed as µg per g dry biomass. The results shown are means and standard deviation values. Results in control (C) and TC3-treated (TC3) groups for each isolate were compared by Mann–Whitney U test (** p \u0026lt; 0.01, * p \u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/da157a1c8d0ff22a1eefbd7b.png"},{"id":71978590,"identity":"bfa01a23-6da7-4c96-8ce4-ca7f29fc1167","added_by":"auto","created_at":"2024-12-20 09:34:06","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":98540,"visible":true,"origin":"","legend":"\u003cp\u003eEffect of TC3 at 50 µM added at different days post-inoculation on F. graminearum. Kinetics of F. graminearum CBS 185.32 growth without treatment (a). The arrows represent the supplementation day for the test of TC3 on different life cycle stages: brown arrow for the supplementation at o dpi, green arrow for supplementation at 1 dpi, blue arrow for supplementation at 3 dpi and pink arrow for supplementation at 5 dpi. Effect of TC3 at 50 µM (added at 0, 1, 3 and 5 dpi) on the fungal biomass weight of F. graminearum CBS 185.32 (b) and the production of TCTB (c) in 14-day-old broths. Results in control (C) and TC3-treated (TC3) groups were compared to the control by Mann–Whitney U test (** p \u0026lt; 0.01; ns: not significant).\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/dc786be2ffb4dd8e557a903a.png"},{"id":71978567,"identity":"fc8a49be-25e9-4d3c-927e-116698174009","added_by":"auto","created_at":"2024-12-20 09:34:06","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":73531,"visible":true,"origin":"","legend":"\u003cp\u003eEffect of TC3 at 0 µM, 25 µM, and 50 µM on the number of spores of F. graminearum CBS 185.32 (a) and F. avenaceum INRAE 498 (b) in 3-day-old CMC medium. Results shown are means and standard deviation values. Results in control and TC3-treated groups within each species were compared by Mann–Whitney U test (ns: not significant).\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/824a443efb0f86bcee3f80c7.png"},{"id":71978571,"identity":"0866a3dc-3451-4215-a639-be8cb6ae1d3c","added_by":"auto","created_at":"2024-12-20 09:34:06","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":101052,"visible":true,"origin":"","legend":"\u003cp\u003eEffect of TC3 at 25 µM and 50 µM on the percentage of germinated spores relative to the total spores of F. graminearum CBS 185.32 (a) and F. avenaceum INRAE 498 (b) at 0, 4 and 8 HAI. Results shown are means and standard deviation values. Results in control and TC3-treated groups within each species were compared by Mann–Whitney U test (* p \u0026lt; 0.05; ns: not significant).\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/ce05c0e3b7a7818663689332.png"},{"id":71979970,"identity":"bde4b09f-783e-4d29-81de-992b53be0032","added_by":"auto","created_at":"2024-12-20 09:50:06","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":668493,"visible":true,"origin":"","legend":"\u003cp\u003eFluorescence microscopy of F. graminearum (a, b, c) and F. avenaceum (d, e, f) spores in presence of TC3 peptide. The peptide was labeled with FITC observed in green and with the fluorescent dye FM4-64 in red. (c and f). The merged pictures present cross-section observations (c1, c2, f1, and f2) of the spores with an orthogonal view from different planes (x/y, x/z or y/z). F. graminearum and F. avenaceum were observed with a Plan-Apochromat at resolution 63X/1.4 oil.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/e9eeb9d4dbee598e3cb03837.png"},{"id":71979816,"identity":"66a6dd76-076d-4d0c-892d-5e762115777b","added_by":"auto","created_at":"2024-12-20 09:42:06","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":110205,"visible":true,"origin":"","legend":"\u003cp\u003eResults of detached leaf assays. a - Necrosis surfaces (in mm2) on wheat leaves inoculated with \u003cem\u003eF. graminearum\u003c/em\u003e pre-treated with TC3 125 µM (in blue) or with sterile water (in grey). Significant differences are labeled with different letters (p\u0026lt;0.05). b - Quantification of fungal DNA (5 days post inoculation) extracted from wheat leaves pre-treated (in blue) or not (in grey) with TC3 125 µM. Significant differences are labeled with different letters (p\u0026lt;0.05).\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/0db8d61ed1c3074c3f883b77.png"},{"id":77052611,"identity":"3c04df7f-6fa5-436d-a709-fd616f061269","added_by":"auto","created_at":"2025-02-24 16:17:47","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2601770,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4995777/v1/5f5b7353-ee35-4743-bba4-ef2631fc16d9.pdf"}],"financialInterests":"","formattedTitle":"New insights into the antifungal and anti-mycotoxigenic potential of the TickCore3 peptide against Fusarium species causing Fusarium Head Blight","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003e\u003cem\u003eFusarium graminearum\u003c/em\u003e is a major fungal pathogen responsible for the \u003cem\u003eFusarium\u003c/em\u003e Head Blight (FHB) disease that affects wheat and other small grain cereals leading to reduced yield and quality. \u003cem\u003eFusarium graminearum\u003c/em\u003e is however not the sole causal agent of FHB and is never observed alone on developing kernels. The disease is caused by a complex of species of the genera\u003cem\u003e\u0026nbsp;Fusarium\u003c/em\u003e and \u003cem\u003eMicrodochium\u003c/em\u003e, with more than 20 species identified until now. Among them, \u003cem\u003eF. graminearum\u003c/em\u003e, \u003cem\u003eFusarium culmorum\u003c/em\u003e, \u003cem\u003eFusarium avenaceum\u003c/em\u003e and \u003cem\u003eFusarium poae\u003c/em\u003e have been identified as the most prevalent in Europe (Birr et \u003cem\u003eal.\u003c/em\u003e, 2020). Additional species, including \u003cem\u003eFusarium sporotrichioides\u003c/em\u003e, \u003cem\u003eFusarium langsethiae\u003c/em\u003e and \u003cem\u003eFusarium tricinctum\u003c/em\u003e, are also reported to contribute to FHB (Bottalico and Perrone, 2002; van der Lee et \u003cem\u003eal.\u003c/em\u003e, 2015; Dweba et \u003cem\u003eal.\u003c/em\u003e, 2017). The three previous species are however described as playing a subordinate role in the development of the disease (Birr et \u003cem\u003eal.\u003c/em\u003e, 2020). All the \u003cem\u003eFusarium\u0026nbsp;\u003c/em\u003especies listed above can produce various mycotoxins that pose a risk to human and animal health (Kang and Buchenauer, 1999). \u003cem\u003eF. graminearum\u003c/em\u003e, \u003cem\u003eF. culmorum\u003c/em\u003e and \u003cem\u003eF. poae\u003c/em\u003e can produce type B trichothecenes (TCTB). This family of mycotoxins includes deoxynivalenol (DON) and its acetylated forms (3-acetyl and 15-acetyl DON / 3-ADON and 15-ADON), nivalenol (NIV) and its acetylated form fusarenon X (FX). Besides, \u003cem\u003eF. graminearum\u003c/em\u003e and \u003cem\u003eF. culmorum\u003c/em\u003e are the main producers of zearalenone (ZEA). \u003cem\u003eFusarium poae\u003c/em\u003e is also reported as a producer of type A trichothecenes (mainly diacetoxyscirpenol / DAS and monoacetoxyscirpenol / MAS) while \u003cem\u003eF. langsethiae\u003c/em\u003e and \u003cem\u003eF. sporotrichioides\u003c/em\u003e are responsible for the contamination of grains with T-2 and HT-2 toxins. Furthermore, the production of the so-called emerging mycotoxins, enniatins (ENNs), and beauvericin (BEA), by \u003cem\u003eF. poae\u003c/em\u003e, \u003cem\u003eF. avenaceum and F. tricinctum\u003c/em\u003e is also widely documented (Gautier et \u003cem\u003eal.\u003c/em\u003e, 2020). ENNs and BEA are among the most frequent mycotoxins found in small grain cereals; their physiological role for the fungus and their toxic effects such as the factors governing their occurrence are however poorly known (Gautier et \u003cem\u003eal.\u003c/em\u003e, 2020). The FHB disease is even more complex because it is not only associated with a diversity of species but also a diversity of isolates that, even if they belong to the same species, can exhibit various phenotypes. This is particularly evident in the \u003cem\u003eF.\u003c/em\u003e\u003cem\u003e\u0026nbsp;graminearum\u003c/em\u003e species, whose isolates are characterized by large differences in aggressiveness (Fabre et \u003cem\u003eal.\u003c/em\u003e, 2019), in toxigenic potential (Laurent et \u003cem\u003eal.\u003c/em\u003e, 2017), or in resistance to antifungal treatments (Zhang et \u003cem\u003eal.\u003c/em\u003e, 2009; Hou et \u003cem\u003eal.\u003c/em\u003e, 2017). Unfortunately, this complexity is often overlooked in research aiming at identifying alternative solutions to the use of synthetic fungicides to reduce FHB, which could be one reason why demonstrated efficiency in controlled conditions is not necessarily confirmed in field trials. The need to consider the different fungal actors of FHB was exemplified by the report of Tan \u003cem\u003eet al.\u003c/em\u003e (2021) who demonstrated that FHB control measures could be hindered by the presence of weak pathogens such as \u003cem\u003eF. poae\u003c/em\u003e. Various scenarii can be imagined, among which: (i) all FHB species have a similar susceptibility to the antifungal treatment; the disease symptoms and the whole mycotoxin content could be reduced, (ii) \u003cem\u003eF. graminearum\u003c/em\u003e or \u003cem\u003eF. culmorum\u003c/em\u003e are significantly less susceptible than the other FHB species; the treatment could preferentially eliminate competitive species and induce an increase in contamination with DON, (iii) \u003cem\u003eF. graminearum\u0026nbsp;\u003c/em\u003eand \u003cem\u003eF. culmorum\u003c/em\u003e aresignificantly more susceptible than the other FHB species; the treatment could lead to an over-representation of FHB species viewed as minor, resulting in an increased content of some mycotoxins such as ENNs.\u003c/p\u003e\n\u003cp\u003eA package of preharvest practices is recommended to reduce \u003cem\u003eFusarium\u003c/em\u003e mycotoxins in cereals. They include: the adaptation of the crop sequence, the management of crop residue, the choice of tolerant cultivars, the use of fungicides, and appropriate sowing date and density (Leslie et \u003cem\u003eal.\u003c/em\u003e, 2021). However, there are so far no management strategies that are efficient enough to guarantee the compliance of harvested grains with the mycotoxin thresholds set by the European Commission for cereals intended for human consumption (Commission Regulation (EU) 2024/1756). In recent years, the environmental and health concerns associated with the use of chemical pesticides, and the increased spread of \u003cem\u003eFusarium\u003c/em\u003e strains resistant to commonly-applied synthetic fungicides, have driven researchers into finding alternative methods of FHB disease management. Defensins are a well-characterized family of naturally occurring antimicrobial peptides in many organisms, including ticks (Tonk et \u003cem\u003eal.\u003c/em\u003e, 2014, 2015; Cabezas-Cruz et \u003cem\u003eal.\u003c/em\u003e, 2016). Tick defensins have antibacterial and antifungal (Tonk et \u003cem\u003eal.\u003c/em\u003e, 2014, 2015) activity, and have been recently described as an alternative for the control of \u003cem\u003eFusarium\u003c/em\u003e \u003cem\u003espp.\u003c/em\u003e (Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e, 2022). Indeed, in addition to their bioactivity, defensin peptides possess interesting characteristics such as: low toxicity to plants and mammals, high water solubility and a potential low production cost\u0026nbsp;through recombinant expression in microorganisms (Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e, 2022). In previous studies, we showed that the γ-core of the \u003cem\u003eIxodes ricinus\u003c/em\u003e defensin DefMT3 (TickCore3, hereafter called TC3) inhibits \u003cem\u003eF. graminearum\u003c/em\u003e spore germination and growth (Tonk et \u003cem\u003eal.\u003c/em\u003e, 2015) as well as mycotoxin production (Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e, 2021). These first studies were however conducted with a very restricted set of isolates and did not consider the diversity of \u003cem\u003eFusarium\u003c/em\u003e strains causing FHB neither the intraspecific diversity.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn this\u0026nbsp;study, the capacity of TC3 to inhibit the growth and mycotoxin production of the six major \u003cem\u003eFusarium\u003c/em\u003e species known to infect European wheat crops was assessed. In addition, we compared the susceptibility of isolates belonging to each of the six considered \u003cem\u003eFusarium\u003c/em\u003e species. Further experimental work was implemented to clarify the mechanisms underlying the bioactivity of TC3 and investigate some features that could explain differences in susceptibility between species. Even though the main FHB species have been considered, a specific focus was done on two of the most prevalent species associated with FHB, \u003cem\u003eF. graminearum\u003c/em\u003e and \u003cem\u003eF. avenaceum\u003c/em\u003e. These two species also greatly differ regarding their aggressiveness, \u003cem\u003eF. avenaceum\u003c/em\u003e being considered as a weak pathogen while \u003cem\u003eF. graminearum\u0026nbsp;\u003c/em\u003eis known as one of the most damaging\u0026nbsp;\u003cem\u003epathogens\u0026nbsp;\u003c/em\u003ein wheat (Birr et \u003cem\u003eal.\u003c/em\u003e, 2020). For these two species, anti-sporulating, anti-germinating and effect on the fungal mycelial development were investigated as well as the occurrence of internalization of the peptide within the fungal cells. Finally, the efficiency of TC3 to reduce FHB disease was tested using detached-leaf assays and a highly virulent \u003cem\u003eF. graminearum\u003c/em\u003e strain.\u0026nbsp;\u003c/p\u003e"},{"header":"2. Material and methods","content":"\u003ch3\u003e2.1. Synthesis of tick y-core (TC3) and fluorescent dye-labeled peptide FITC-TC3\u003c/h3\u003e\n\u003cp\u003eTC3 is the \u0026gamma;-core of the \u003cem\u003eIxodes ricinus\u003c/em\u003e defensin DefMT3 (GenBank accession number: JAA71488). TC3, whose chemical formula is C\u003csub\u003e69\u003c/sub\u003eH\u003csub\u003e121\u003c/sub\u003eN\u003csub\u003e21\u003c/sub\u003eO\u003csub\u003e17\u003c/sub\u003eS\u003csub\u003e3\u003c/sub\u003e, is a linear peptide characterized by a molecular weight of 1613 Da that contains 14 amino acids (CGNFLKRTCICVKK). Peptide synthesis was commissioned to Pepmic (Suzhou, China) which uses solid-phase peptide synthesis (SPPS) to obtain highly pure peptides as previously described (Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e, 2021). The peptide \u0026lsquo;TC3-FITC\u0026rsquo; was synthesized following the same protocol used for TC3 but the fluorescent label fluorescein isothiocyanate (FITC) was incorporated at the N-terminal end with the spacer 1,6-aminohexanoic acid (Ahx). Peptides were purified by reverse phase HPLC and peptide sequence was confirmed by electrospray mass spectroscopy (ESI-MS) using a mass spectrometer LCMS-2020 (Shimazu, Kyoto, Japan) (Leannec-Rialland et al., 2021). \u0026nbsp;\u003c/p\u003e\n\u003ch3\u003e2.2.\u003cem\u003e\u0026nbsp;Fusarium\u003c/em\u003e strains\u0026nbsp;\u003c/h3\u003e\n\u003cp\u003eSeveral \u003cem\u003eFusarium\u003c/em\u003e strains (\u003cem\u003en\u003c/em\u003e = 31) of six different FHB causing species were used in this study. These strains together with information relative to their origin and capacity to produce mycotoxins are summarized in Table 1. The strains from INRAE-Bordeaux MycSA collection are deposited in the International Center for Microbial Resources - Filamentous Fungi (CIRM-CF, http://www6. inra.fr/cirm_eng/Filamentous-Fungi/Strains-catalogue, Marseille, France).\u003c/p\u003e\n\u003cp\u003eTable 1. Fungal species and strains used in this study.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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wqUrmD28CC9VhmyLjZVr1nLy9CmEQeLcxYts2rqNW7ejSc/MIMdq4dS5s5w+d5Zcm5XL164RdfMWZg8v4hPuc/DoUW7F3AHJyL3ERA4fP87uffuRhcSZc2eZ+tlnrkGixIHDR1i+bFnebcwSbN68hStXrhJRsRJent4kJtwnMyOHs+fOs3btBrKzc8nIyGLrth389NNu0tIz+fLrWRw4fJiy5SogSwZ+WL+Bvft/4V5CIhMnT+FKVBSBQQW4fz+Zs+cvkpCUzKlz50i8n8KZs+eZPvNLktMyKFWmHLdjY/lu+XJu37nD6rVrOHj0KKXLlMHH348b0bcweXrkec5JR4MQ+Pn74+vjw/kLFxk0aDBbt24lLS3NtcYnYZCcW9eNRue2+mtRUWzbvp3r12+SbbGSnJrOiZOnCQoOpnjxkly8coX5CxdhsTpIzcjk1LlzHDl2DJvDwcUrV9i09Ufu3I0jJS2NbTt/YsPmTWAw6CLu/yOS5BR0U1NScMgOShQrTnh4ODk5OWRnZ1OocGHnLg4gMzeXuLh7pGVk8tOevazbsAmbQzBrzjx+3LaNQmFFCAktxNqNm9j04zaMJg8uXbnKhi0/cvHKFXItVvb8/AvTZnxJzJ04UlLTWbtxI0ePn0QWEuM++pifDx3CLyAIH78A9h88xIRJU8jKsah3GRgMBkxGI34BAZy9eIGTp09hNpvZvWcP16KiMJnMJCUlc/jIUb5f9QOeHt7ciYll9uw5xETf4eK5i3wxfQZpqemULVuW6Nu3+e67JSTEx6u7VnR0HifMZjO3bkUD0KJ5C0wmEzk5OXh6elKlchUA7t29i8Vi4fzlS2zYspk7MXdw2B1k52Rz7sJ5zp8/z9VrV5k1+xtybTYCggK5cPESN27exGAwcO/ePU6fPceVK9fIyc7lwsVLrN+0maysHGLvxvPtd0s5dvwEZrMH+vUbOjo6On8uf4mgK8syBqNR3e28ZOkSRr/3LuM+Gs/169fVc63Ke3LKuRbn9uEcp55koEuXLgwfPhyr1cqLL77IiBEjePbZZ2nQoD52u50TJ0867QpBwZAQpk37nL79+pGZmYnBdW7N4DpHaTQYnRdHG40u8dt5llg5Itm9W3cmTZpEeHg4Zg8zI0ePYsQ77wBw5148Ntfti5Jy5k2ScMgyoYVCGTV6NLVq18bucOCwO6hSpQqfffY5w4e/g6eHB9dv3eBefDxXrl2jfLnydOvWjac7dgTg2InjHDt2nLT0dJ555hkmTJzIZ59/TqtWrbBareDa7njrdjQWq5XmzZrx8ss9qFu3DomJSZy/cMF1fggKhhZkxIgRdOrUiZycHNdpZ508uJ6JKBAUxJAhgylfrgy3bt9m5ldfMm/ePAoXLswbb7wBQNOmTRkzZgw+Pj7qm4mjRo/mo48+IiwsjOHD36Ffv/50eOopCoUWIjklhdS0NPVstsnoLNey7CCsUGEmTphInz59AMjIyMDh9pSUzv8a5+VOiiBZrlw5dTVFch1xMBgMSICH2cyHY8cy5K0hGCQDmVlZJCYmcuXqFUqWLMnzL7xAly5dCCscxunTp0h1bVUOCgjk88+n8fawYQCEhIQwc8ZM+vXrB8CNGzeIu3uXu/HxlC9bjvfff5/333+f0JCC3Im9Q6VKlRg0aBC4yuO4ceN4+umn8fL05ODBQ2RnZ3Pk6BH8ff2oUaMGsiv8PV/tyazZs2nfvj2yEGRl55Canobd4aB1mzZ0796dZk2bknj/PmfPnsVsNusrSTqPHc4JHudvT09Pp5rrno2KFSuqZoQQ4HBQNrwUH330EZ2eeUZ9mshkMpGZlYnNZqfLM88w+K1BFChQgCqVKxMREYEsnP2z0WDEIDnb+2qRVflixgw6dOiAjCAzKxv0m9R1dHR0/nT+klG2cjGPMm7q0L4Dg954kzcGvk5kZKR6ky1ul7Tk5OTw1FNP0ahhQ85dOM+QoUOYO28uVouVPXv2MHDgQCZPnszBAwdVu8oqhI+PD4UKFc739sM84p5wva3rNqjz9/dHlmWCg4Px8vamQIECZGdnOzUlZ+cnlCcDMNCmdWuCggqwYOFCBgwcwPkL5zF7mLE77BQtWhTJIBFUIAhvX18QkJTk3JIYExPD9C+ms3XbVsqUKk2ZUqW5efMmAOElw7FYLJjNZooXL47NdfY3OzubhPgEAH7++Wc+nzaNO3diKVumFAUKFKBTp6cpV7YsS5YuZ+DAgRw6dEgduOr9phuShBDOS8gaNWrExx9/zMDX+hMUEMhPu3Zy7do1dcu33W4nNzfXme8IPDw9KFiwIP7+/litVmbN+prBgwcza9YsUlJSMGjOYwMYjL+WmQIFCqirwwAG16BGuZhE5/8H5yDWmQfKJJyyuumhnKEXMj7ePupN3EajAaPBQHJyMvcTk7ifdJ9vFy9m2fJlBPj7U6J4CZfj4O3jTaHQUDXfvb288PXzxcvLCwAvLy+OHTuGzWajUqVKyLKMxWLB09PT+Y6zEOqEl91uJzs7m+DgYBo2bMTNWzf55ptvSE1JoU3bNvgHONswgDJly2C1WfEPdN46n5Obw+UrVwD4+ZefmTZtOteuXaVCubIEBAY62wp9lK3zGKG0zbiEz8zMTKe6LGMymThw4AAAvr6+4JrADyoQRKFChfDy9FJHFULIFCkchqeHB9O/+II33hhEcnIy9erWxWj89ZUEVWB2uSmEUN3+VcLV66COjo7On8lfIujK6pujzka9bt26dOrUiVatWjmv8XcNLO/evYvBYFAFSofDQXBwMKNHjebj8R8RHh7O1m3bOHnqJEuXLaNcuXJMmDCB1q1bQx5B1olzdUYRckF5v9dgMHD//n3i4+MBkPn1FmelE3IK5s5384Qs1C2LTpyCjtJR2e02mjRuwqRJnzB48GCSk5P54YcfEK5nSlJSUsjJySHqWhRpqakYTSZCQ0MBKF26NB9+8CGjRo5i/PjxPPvss6relStXsNvtpKWlcfPmTcxmM7iE+JCCBQFo27Yt744Zw8iRI/joo4+oVKkSlSpVYvLkTxjwWj/S0zPZ8uNW9c1PfY3mQUwmM+fPn+fGjRv4+PjQsWNHSpUqBYBDETyFcyCknMuWkBCy8z/AyVOnOH7yBE88+QQjRoygUKFCCPnX96LR1AMJCYesKZtKiRIPlmGd/z0FCxbEw2zm2vUoDhw4oD6Btt91ltYgOdsJ7aSEQ3ZQsGBBCoYWJDQ0lNdff50xo8fw/vvvM2DAALy8vJBdbyjbbLZfy4VrckP5b7VZqVatGmaTiZOnTpKbm+sUdq0W544M4WyL0AzMPTw8qFe3LgjB/p9/RpZlKpSvgMnovNAKIDExEavVSuydWHAJ1OXKlQOgVavWvP/++4wYMYLxH42nWrVqWCwWZ/h0dB4TJEnCZrVSKcK5crtt+zZycnIwuC6Puxp1DYBKEREP9AGykFXZ1GgycPLkKex2O08//QwDXhvI6FGjadWqFTa7Nc8qrdLeK3X5QSFY77F1dHR0/kz+EkFXabSV9USr1ap+ZFkmuEAwALNmz6Jv376cPXcWXIOxufPmMW7cOK5evUZS0n3CCofh7++Pt7c3GZkZnDhxgo2bN4FrhUOWZee3ppNwyDKyDA6HjJeXFwEBgdy+E8P777/P5CmTARCuAafkepNSEXCEkEEIZIcDoQo9zi3OkuuB+Lh7d3n77aGsWb2GG9dvAFA5ohJGyYCnhyfHjx9n1IiRzJ8/DyEENWtUp0SJklSKqMSxE8eZNHkyy5YuY+TIkaxcuZI2bdoQ4O/PuvXreffddxk4cCC//PILZtfbudk52VSsUAEvLy9WfL+SBQsW8uWXXzFy5CguX7nM0LeHsnjxYuLj47E7HBQvVlS1q/MgJpOJ/fv3M/itoQwf/g6DB7/F6bNnKFumLCVLlMTb2wc/f3/nytfn05w35hqcW1kl144FL9c2t+T7yRw5coTomNvOYiKEOikvuwYyMkItXw7XBIrD7nRL5/8Xh8NB4cKFad+uPbIsM/WzqQwfPpzXXnuNuQvmk5WVhTBIOFyTcw6HA4erzQkKCqJy5cpE3bjO5CmT2b5jB2PGjGH+/PnqhJ5wW8lRhVZXW2W1WKlQoQKlS5fmTmwso8eMZtSoUSQmJVEtsiqBgYHq6u/BQwcZNWoUt2/fpnbt2hQsWJBcSy5hYUWoWKGC84Z41zj5m69n89agwezZs8c5UVYgmEIhBfH08GD58mUsXbqUzz77nFEjR+aZVNPReZywWK20a9eOqlUjuXL1Km8OepP33n2Xvv37ER0TQ8f27SlbrhxWqxUHArtmskvIrvGGw4Gfvx9CFmzevIlvvvmG71d+z9ZtW5110jXGyDMJ6mpPFBVZ1vsDHR0dnb+CfN/R/S1SU5K5F3f3d1eihAQp95PJTM+kWfNmBAUGguwUIosWLYpRMhB75w4hwcE827kLVouFRg0bUqRwIQ4fPszhwwcpWaI4Awe8RrkyZfD18ebsmTOcPnWSxo0aISFo3KgxJUuU4HrUNUqFh1Ondh1khwNJQMzt21SuVIlqVSMpXaoUd2NjSUpKpN2TT1CieDGKFgmjSpXK3E9MxG610rB+fUIKhnA7Oobg4GB129G9uDjKli5FzRo1EK7tfR4eHmTn5LBr9y5u347mqQ4deKHrCyQlJrBr9y4qV6pEgeAgkpKSeOKJNjzd8Wl8vL2JrFKJjLR0Ll28yL17cZQsUZwO7dpRvHhxwgoXJikxnsSEBCpXinDeumyxkJiQQMMGDahRrRqlwksSffMmV65cISc7izq169CyeXOMBiN7du/helQUDerVo3u3bnh7eSFkWe8880EIQeGwMExGiWvXohCyTIN69Xmtf39CggtQICgQq9XCrRs3CQkJoVGjRsTFxhIaGkqjRg0wGiQKFCiANTeXkydPkJiYwBNt2uBl9qBB/fogZGLvxFCrZi0qlC9P9M2blC9blqqRkciyTPL9+1SsUIEKFSog6bP4/28I4dyibDAYqFCxImGFw8jOyiY+Pp4CBQrwUrduVKtaldvR0RQtEkaDevWQECQlJlC6VDjVqlWlbJnSeHp4cOXSJS5cOE/JksV5om1bChUqRNS1a5QsUZwG9ethtVi4eeM6kVUiqVG9Grk5OURdu0r9unUpVaok1atVQ7bbuHnjBg6HjfbtnmDggAEIWSYwIJCsjCzi7sZRqFAhmjRpQlBQEHdu3+Ha9Sjq1q5Du3btELLMmbOnOX/hAi1btSQpOREfb2/69u5N5cjKhIaGUrFiBW7evMH58+eRZZnatWrRoH599d4EHZ3HCSE5BdV6dethwMDde3dJTU0lLKwwfXr2okP7Dnh6emK1WrkdHU1klSpUqFBBfabr0sUL1KpTG6PRxMHDh3nm6U48+eSTnDp1in3791MpoiJBAYEkJiZQv0F9CgQXIPrWTWrXqkWF8uXIyswkOTGR+vXqERZW2LWDyD2UOjo6On8v/knv6P4lzwsBCIOELDsvYJBlWV06FkI4b7R1vRspXA+w2+12hBCYTEaEcG751G7twXUm12AwYLVaneeAXasrZrPZuaVU2Rrqsiu5Lo4ym83IsvNcprIVVdZsH3RuYXbeEi0ZTE49ZISQMbsusVLCjmuFRjJISK4zwg6HAw8PD86ePcsHH46lRYsWDHlrsHM1T5aRhHP12dPTE9nhwGhy+iG7nvOQ1a3eTreV/8o2WSWdPDw8VDu4ZpIBjK4tykpYlBUk2eFA+p18evwQznw2m9RJAAMGHHYHRoMBq83mPKcJaj4paeq07kB2lVP49aZapawq5Q4k9Ri4kqcKBsl5EZqQnZea6c8L/f8gSQaEcG0xN5nU9kH9liTsdrtLGBbOVXiDAYOyC8QhMJudl+EJBAbJWWclg6SaxbWKqwjU2jJiNBiwu8qW9mywUt+dZmXA6Lrcz3kBnuw6Qzh27FhOnz3D5E8mUSkiAh8fb+YvmMf3q9cwfuyHNGrUkJxs5+V+dofzXgQPDw/sdjsG1z0KsixjFL9updfReZyQXc260WhCyM7dOhLOc7pKH6y03dr6q2A0Sghg0pQpHDt+gj49e1G6TBlW/7CaM2fP8PH48dSsXh2r3e5ctXXVccl1NEYZ/ygCrrP+q87r6Ojo/O0Qj8PzQo/ybI2ymqhttIXrvKzsOvvocJ2pVS5dwrUd2eFwqN8Oh3MwJlznZ202myrQCcBgMGK3uwQRRYDQXKyimFUEFmVwp3RWvw4sXWF0hduAhElyhlXV0249csjIdgd2qw1kgcNmx8NoIiggEG8PT4RDRrbL4BA4HE4h22az4ZAFVqvNLUyuLa6yjN3uVFcEfyfOztGZJk47ds2FXg6XO047vwpdBn2VJh8kkMBht2NXPi4hwOEa3MiyjOwqlw7NZAOAcOWFUi6VdNeWKed33st9DK5JEYPBoJZRp5Crj2r+v1DaCclgQHY41LO0NqsV4aqDSh4K4ZxAUwaiSvbZ7XbndnQBdodzEkSWlY3JTrRuaP875F/LiN3uLEdKmXO4zvc66z4IV72XXRN2t2/fJiExgdCCBSlSuDC4JrZ8PL0xSxIGJOxWGw67HYfdjgHn4NpmsYIssFltyLIA4dxir2nadHQeG5QW2uFqw202G3ZXHVTGIJJLOJXzTEj/ehGmQZJ4+qmOFC9ajBXfr2Ty5ElE34qm58uvUDkiAqvVqt7xYRDOeqj6r45XDIBz4k1HR0dH58/jkVd0lUHhjRs3OHHiBAbXrOQjyLyPhHbIrzT+7uq/R35u5FFz/da6747kupBZ+SafMOT33zlYdArwBtf7q0pHCM4BZf4+6vyd+K2ykR/5lS9V7w+6pfP/g4Sz4mvzyj0vf4s/ks/u7rrbza/9UfU0dp3CsHP12eTaHQMSsmxHlp2X4v0qmIu87Vk+buvo6Dwa+bX5JpMJm82G1Wp1CrQGAx4eHgjlZmc382o9/wPtjI6Ojs7fASEEoaEFadqypbvW35I/LOjevHmT06dPg2smUzs7+TijdnyqcKus7LkG0jo6Ojp/JpLzJU8BD5di3f/r6Oj8NWjrI5o6qaOjo/MvQghBSEgITZo3c9f6W/KHBd20tDTi4+OdW3iUN2l1HkAReB8xeXV0dHR0dHT+wbjv0NDR0dH5tyGEwNvbm2Ilirtr/S15ZEEXV+TS0tJISEhwKfz9Vivzno5z8lcK44p/Eq4zwo+enP8dSpT+R97p6Oj8zdDuf3TfBKm3Czo6fz2uuuccRuW9l0HoCwE6Ojr/QoQQ+Pj4ULxkCXetvyV/SNAFSEtL4969e0iaG0J/C+3K5qOY/28RrguvTCaTeo5N2/n8FShx+6tQ0sxoNKqXWilqf6W/Ojo6f0+EEOrt8ii/NTd76+2Cjs7/DrU/1uuhjo7OvxxF0C1R4p8h6P7hW5e1gupvCa2y61kfpaE3aJ78yY/83BVuFzkoag9zQxG+bTYbV69eJTU19YH3Id3dU3iYurtA7+6/+38FRc39m4f4pei76ynuS5JEVlYWly9fVm+edvfXPSzu+gr5pasWrduKOSUNfsvN/P7/lh0dHZ3/DElyruZK2t/K0yV6fdPR+Z+i1ju9Huro6Oj8rfjDgu7vNd6KQOTt7c3atWsZNWoUY8aM4Z133mHUqFEcOXIEs9mcRzDSCnOKfcUtSfMGqWLO/SkX5bfD4cDT05OffvqJdu3aMW3atAcEMOV5AHc3ld9ahOuZHuVZgfzMKWraMOEKixI27cc9TgrKfyV87uaNRiPTp0+nQ4cObNy4EQ8PD9WcgjbtlLAruMdNiY/WvDZsSvhxuau4pTy3o5hV7Cooar8+w5A3/3R0dHR0dHR0dHR0dP5q/rCg+3vIsowkSZjNZnbv3s3atWv5+eefOXPmDGfPniU7OxsPDw+8vb3BJfx4enri4+ODcD3P4+Pjg7e3Nz4+PuqqsNFoxNfXF29vb7y9vVVhWZIkfH19MZvN+Pj4YDQaKVmyJHXr1iUiIgKj0YiXlxeenp6qoOXl5YWXlxdCCDw8PNSP4r4SfiUcymq04h8uAc7T01MNj7+/P56engB4e3vj5eWFj48PHh4eqlkfH588bsquNzG9vb3VNFH0tP4rREZGUrVqVcqUKaPGw8PDQ3VbSRMlnIp9JTyKnpeXF97e3nh6euLr66sKvUajEU9PTzw9PfHz81O3Snt6eqppoMRL0kxoaMNqNBoxGAyqHyaTSQ2/knY6Ojo6Ojo6Ojo6Ojp/Jf/VGd38UIQsPz8/BgwYwObNm1m8eDFPPPEEubm5SJLEgQMH2Lp1KwMHDqR48eLs3LmTffv20b9/f8qWLcvatWs5dOgQdrudJ598kjZt2nDy5EnWrVunrjR27NiRpk2bkpSUxNy5c6lcuTKXL18mJCSE7t27M3PmTKpVq0bTpk1ZsWIFXl5evPLKK8THx7N8+XLCwsLo2rUru3fv5uzZs1SrVo39+/fj4eFBv379OHPmDPv27aNw4cL0798fLy8v7HZ7nnivXLmSS5cuqe/lVa5cmSeeeILZs2fToEEDDh48SJkyZejevTtr1qzh5MmTGAwGChQoQP/+/QkMDOT06dNs3bqVxo0bs2/fPmw2G7169eLevXts3ryZoKAg+vTpQ0hICFevXmX58uU8//zzhIaGsnjxYmrUqEFUVBRxcXE0atSIp59+GqvVisPhYPny5Vy5cgWj0UibNm1o3bo12dnZbNy4UX0iKjg4mB49elCiRAn27dvHoUOHiIiI4NixY7zyyitYLBY2bNhA//79CQkJYceOHZw4cYKXX34ZDw8P5s6dy5NPPsnRo0dJSEjgiSeeoFixYixbtgy73c7zzz9PtWrVsNlsmlKio6Ojo6Ojo6Ojo/NPQvzDzuj+6YKugr+/P/3792fLli1MmTKFpk2bkpubS9GiRVmyZAkTJ05k8+bN1KpVi969e7N9+3Z27NjByZMnGTNmDCVKlMDT05MSJUqwdOlS3njjDfbt20eRIkW4ffs2vr6+rFixAh8fH5544gmys7NxOBzUr1+fr7/+mqZNm9KkSRM+/vhj+vXrh5+fH+vXr2f37t10796dNm3aMG/ePD799FNmz56Nv78/BoOBtLQ0ihQpogqLqamp9O3blw8//JCcnBwkScLDw4OPPvqIpUuXUrJkSe7du0dWVhbPPPMMb7/9Nm3atMHLy4ucnByaNWvGoEGD6NOnD6Ghodjtdm7dukX37t2ZNm0aK1asYNiwYfj5+WEymUhNTaVo0aLk5ubicDhIS0ujffv2zJ07l82bN/P6668zfPhw2rVrR5cuXbBYLPj6+pKVlQXA3Llzad68OaNGjWLDhg2UKlWK1NRUsrKy+Oqrr6hcuTJt2rQhLCwMgGvXrvHUU08xc+ZM5syZw6effqrm4ZIlS8jIyGDQoEH89NNPFCtWjLfffpudO3eybNkyvL29efrpp/Hz80MIQU5ODoGBgXh6emKxWEhJSaFcuXKsWrVKNaOjo6Ojo6Ojo6Oj88/jnybo/ulbl/Pjk08+oXPnzvTs2ZPz589jNptVPa3wYzabuXPnDkIInnzySTZt2sTnn3+O3W7nxRdfZOfOnRw7dozBgwcTHx/P6tWr8fHxAcDPz4958+YxaNAgMjIy1K3B2m25Wr/cBfXu3buzdOlSwsPDSU5O5r333mPGjBkAHDt2jNzcXNUth8PB5cuXqVmzJvv27ePll18GoEOHDgQGBgLg4eHBd999xxtvvEFYWBhff/01hw4dYu3atYSFhXH27FkyMjLUy7KaNWvGqlWrqFmzJnFxcfTp04fvvvuOAgUKcOnSJXA7v6uEPywsjO+++46ePXtis9lISEggKiqKrVu30rJlS44dO8b8+fPJyclh165dBAQE8NVXX/Hzzz/z888/U6JECbZs2UJKSoqaL61atWL+/PlUqlQJi8WCJEnq1mVla7ryAShQoAArV66kd+/epKSkULt2bdatW0edOnWIiori4sWLGI3GB9JcR0dHR0dHR0dHR0fnr+AvEXTdV+5KlChBREQEkZGRlCxZUr2cSCssAVgsFlq0aEHFihWZN28eHTp04PDhw2RmZhIUFMTrr79OyZIl+eqrr0Bzk7MsyxQqVIinn36aZs2aYbVaVX13YVdBGwaA6tWrU7lyZUqUKIG/vz/NmjWjcOHCqnnFnOJeUFAQp0+fZsiQIRw8eJDg4GAaN26M1WpFCEFoaChPPfUUderUwcfHh2PHjlGpUiXatm3LvXv31LOriruRkZFERkZSokQJjEYjjRs3JiIiggIFCqjpqXwr6eZwOAgPD6d69eqULFkSXE8QxcbGkpmZyf79+6lYsSJ9+/ZFlmWSk5OxWCzEx8dTo0YNqlWrRlxcHGazWRVgARo0aECHDh0oWrQodrsdg8GgpqEibEuai6yKFClC48aNqVOnDgA1atQgIiKC0qVLQz4XgOno6Ojo6Ojo6Ojo6PyV/CWCLm4rph988AE//vgjixcvplChQqrAowhZilmr1Urjxo1ZsWIF7733HikpKYwZM4bjx4/To0cPkpOT+fjjj2nXrt0D/siyjNVqVQVNRRBT9BMTE0lOTlYFTEVwU8Jit9ux2+3qrcIWi+UBAVOxl5WVRUZGBr6+vty4cYPg4GAmTZpEcHCw+m6vw+FQV0Nnz57NjBkzaNeuHaNHjyY4OPgBoc/hcGC329Uw22w2bDabGh40cdWGRwihbrPGlQ7KBVaVK1dm/PjxTJw4kVmzZjF69Gg2b97MyJEjadWqFRMmTFDDos0vu92OxWLB4XBgMBiw2Wxcu3YNHx8fNX5owuNwOLDZbNjtdjUM7v8l/ckFHR0dHR0dHR0dHZ3/EX+JoKsImQppaWkkJiZy//59cG1RBli4cCETJ05k79694Nruu3DhQnbu3En16tUpUqQIBoOBjIwMkpOTKV68OGXLliU+Ph5cQp7WH+WiKu1Kr3Ij8OXLl/n666+ZPn06aIQ0d+FREX4VNxQ15bfJZCI+Pp7bt28jhMDX1xc/Pz+ysrK4e/cuJpNJFQYVgTUtLQ1cq7Y+Pj4kJyc/sMqpfGvjpAi92jhpEa5bqpXfuNKgVKlSlCxZkoSEBHJzcwkMDOT+/fvcunWLhIQEAOrUqYPZbFYFWm0cFX/RpM+KFSuYMGECO3bswGQy5QmLEmatfe23srKOvqqro6Ojo6Ojo6Ojo/M/4C8RdHEJOcrKovLsjtFoxG6306xZMxo0aMDhw4eZPXs27du3V5+wMRqNvP/++7z66qvcuXOHIUOG0KZNGzp37sz+/ft54YUXiIqKUp/UMRgM6rM9ir8GgwE/Pz98fX3x8fHhxRdfxN/fn5kzZ2KxWKhcubK6sms2m9Xnh3A92RMQEKCG19/fX/VHdr0vGxgYSFBQEDabjaCgIE6cOMGwYcP44osvkGVZvZBJCIHJZKJLly4ULlyYcePGMWHCBIoWLYqHhweyLOPh4YHBYMDb2xvher4nMDBQPdOqxM1ut+Ph4YHR9VySEsegoCBwPWmk3P5cokQJRo0ahSzLDB06lJdffplPP/0Um81G586dKVasGKNGjWLYsGEUKlSI4OBgNe6SJOHl5YXD4cBqtVKrVi0iIyPZtWsX69ev58knn8TT0xOTyYTBYMBkMhEYGIgQArPZjMFgUMPh7++vPlOkCM/6iq6Ojo6Ojo6Ojo6Ozl/NX3LrsrI6mJubS2ZmJgUKFFDPxyqrrNnZ2SQmJuLt7U1ISAjJyckEBgZiMplITEwkKysLX19fwsLCEK7tuXfv3kUIQaFChUhNTSU4OBiz2UxycjJms5mAgACEayU3JSUFPz8/VShLTEwkIyODIkWKqFuU/fz8yMnJwWq14uN6hzYtLQ2DwYCvry+SJJGWlobJZFL/e3t7s2fPHnr27EmHDh147733OH36NCNGjKB+/frMmjWL9PR0zGazetOwwXWb8/379/H398fb21sVki0WC9nZ2fj6+uLh4UFaWpoq4BqNRjIzMxFCEBAQgMViUdPFZDKRlpamvmtrs9nIzMxU38w1Go2kpqaSkpKCEIKCBQuqb+ampKSQmpqKj48Pvr6+5OTkEBISgtVqJS0tjaCgIHUiwGg0kp2dTXx8PAEBAerqcEhICACpqanqu7u5ublkZWXh5+eHh4cHFouFjIwMgoKC8pyP1tHR0dHR0dHR0dH5ZyH+Ybcu/yWCroLkurxIlmUUbxQhWNFDc4ZT2dZqcJ2fVYRWrVu4bY1VBEnFHQWDa6uvYlZxU2tGCYfiV35uuf83m83ExcXxxhtvcOnSJYoVK0ZGRgYAc+bMoXbt2litVjXeCto4oQn7w/x3/68Nj1bvYe5o/VTsK+nsHhZFX9HT5pfWHa2/ypbp3wqf4p72nLGOjo6Ojo6Ojo6Ozj8P8TgIusoZ2T+CIvj8GzAYDGRnZ7NmzRqysrJwOBx06tSJMmXKqG/tKgKfu0Cpo6Ojo6Ojo6Ojo6PzT+OxEHR/b0U3Pyd/y7yW/OzyEPsPM/uo5Ofmo6CsnhqNRnVLrvaWZi35qf1VPGp8Hham/9b+o/Ko/ujo6Ojo6Ojo6Ojo/D341wu6qampxMfHP1YrlUKzXVe5WElZrdXqK78VtPr/3/ydwqKjo6Ojo6Ojo6Oj889CEXRLlizprvW35A8LuspTQY+ToKsguT09pKSBe1q4/9d5vNBOgujo/BF+r+z8nr4Wd7Puk3O/586jmNHR+afzT60Xvxfu/NT+SeQXv78iTn+Fmzr/Lv6sMvJnufP/jXC9qlO8eHF3rb8lf1jQ1dH5JyPcLvJS0Hai7lXiYXqS28RHfu5qzf1WA+fudn5q2v/5uaXV09pTwp6fnccd93xzTzv3NHPPIzT5q/xWvt3zQ1telPLg7p9i7mEoYX0Y+ZUzbby05dM9jIpZdz3tf2343MPq7q+Ozt8d5eJFSXMRo7aOaMu4LMt5nspzL/+/R351/1HJry7m99vdrEJ+fv2euT8avz+Cu9+KX9r4KEhul4j+kbTT5uPD2nhF769Cye+HxfFR4qJt1/PL50dxQ0GbBu5uacOWn5va9HQPz6Oi2P29eqANx++ZzQ/3vlCb/kp5eli+55ceirrWzT8SHuHWfyq4//9PyM9dnV/RBV2dxw5tQ6/9r6i5f+enr+BwONTGUlF/WCOp6Ls3wFr9h9l1x90vrbp7GLVu6vzKw9IlvzxzzxfxO8cV3Dvm/AYqCr+lRz7hdP+v5WHlwV1NIT+/FfPu5UirprirteNuVkfn745SbrX1VVu/FOFUMfuw8v97uPsj/qBwlV8dzi88DyO/cLqHSTGjjf8fieMfwd1vHhJGLf9JWNzTxN1PRe2vQptH5JOm2vA9LBza/HBXd1d7FBR77n7nl1buKPH5sydsHpVH9UsbR+kh9VshPzfzSyMtWr387OfHf1r3fw/3NupRw/M4oQu6Oo8d2sZaOXftrufegLtXE/fGxL3Ddm8Etf/d9RR9Rc/dbUXfHXdz2oZUG/78/NNxoi0L7uoKD0vHh+Wp4mZ+eaAgSRJ2ux0Ak8mUJ/+17uSXZw9T53c6aHc7iln3QYC7OcUsbnFV1N3TTkfnn4J7edeW8z+q9iho/XP3+7fQ1jmtfeW/u7v5qbvzMD2tX/wHcXxUHuY/Lj1FX7i1Mb9l71HJLz3/KtzD6+63VlBxR9H7PTf+CL+Xv+5+aXHvKxSzDzPvjjZPycfv/Phv/HEXAnlI/XHHPZxatPbzs/swFLdEPn3mH3VLQRvO/8T+44Jx3Lhx49wVdXT+rWgbN8m1XS07O5uMjAxkWcbDwwNJkrBarWRkZJCbm0tubi6enp4YXO8JK/opKSnk5ORgMpkeEFYUcwDp6ek4HA7MZrPayEmSREZGBpmZmQgh8PDwAFdHkp6eTk5ODrm5uVgsFjw9PfO4p20o09LSyM7ORpZlPD09wbUdx2azkZqaSk5ODmazOY8wr+NEWxaysrLIysoiNzcXq9WKl5eXmt7ab4vFQnp6OtnZ2TgcDjw9PdX8ttvtZGRk4O3trZYDh8NBamoqHh4eap5JksS1a9do3749tWrVolixYmp5sFqtqptCCNLS0tSykJ2dDaCWlYeRnJyMwWDAbDar5cbhcKjlSlsmtB2k5BoYpKenq2nh5eWVx0xubi6yLGMymVQ7WVlZ2O12zGZznnDo6PwTyMrKwmaz5akvFouF3NzcPGpac+5t/KOgbW/+04GpJEmkpKSwbt069SKYuLg4goKCsFgs3LhxA19fXxwOB6tXr8bHx4fg4GB3Z0DTnin9nNI2GI3GPPX7r0CbFlevXmX37t1UrlyZ8+fPc/ToUUqUKKG2c0o6K/fDBAYGurn222RmZpKdna22oe5tcXJyMmlpafj5+blb/a/RxjM+Pp6srCz8/PzUOP1eOVLUle/c3FwyMjIeiMMfQeumw+Hgzp07+Pv7q2racLmjtasdh+Rn9lHIyMggOztbrW9KOZQkiYsXL3L69GlKliyJyWT6j/1ISUl5YAyUmpqKwWBQy/nD0PqphOnAgQNUqlTpD4dHSVtJkkhPT2fVqlUUKVIEX1/f30zz30PJh3379nH37t1/zE3I/1OEjs5jiCzLQggh1q9fL1q0aCHq1KkjmjdvLqZNmyaEEGLDhg2iXr16omHDhqJOnTpizJgxIjo6WgghhMPhEG+99ZaoXr26qFGjhujZs6dITk5W3VXcFkKIX375RTRp0kRMnTo1j78bNmwQTZo0EbVq1RJt2rQRa9asEUIIER0dLZo3by7q168v6tevLxo0aCDWr1+vuqfYz8zMFNOnTxeNGjUStWrVEu3btxcnT54UQgiRnZ0t+vXrJ2rVqiVq1KghRo4cqdrX+RUlLW02mxg9erSoU6eOaNCggWjYsKEYPny4uHDhQh5zhw8fFs8//7yoXbu2qFu3rmjdurXYtWuX6t6uXbtErVq1xIIFC1S16Oho0aJFC3Hz5k1VTQghNm7cKIoXLy7i4uKEEELs3r1btGnTRnzyySeqmZSUFNGuXTu1HFSvXl3MnDlT48qDXL58WTRs2FAtxwqnT58WTZo0EQ0aNBD16tUTXbt2FcuXLxdWq1U1k5aWJj788EO17NWsWVOMHz9epKenCyGESE9PF507dxavvvqqyMrKUu299957vxsuHZ2/K4MHDxbDhw9X/2dmZopnn31WvP3220Jo6n+fPn3EnDlzhHD1Adp2/vfYvHmzSEpKEkLj3h9Ba+f06dMCEJcuXRJbtmwRRYoUEYcOHRInT54UgNi7d69ITEwUHh4eYuHChXnccWfz5s2iQYMGarvQvHlzcfDgQXdjfwlKnL744gvh4+MjHA6HeO+990TZsmXF7du3HzA3ffp0UaZMGXHt2jVV71EYMmSIqFu3rtqmDRo0SJw7d07VHzdunIiIiMjTpv2ZKOHv0qWLaNiwoUhPTxdxcXFi69atefTzQ9FTvjdv3iyeffZZcefOnQfMPAo3b94Uu3fvVu2cO3dOlCxZUsyfP18IIcS+ffvypP1vkZKSIjZt2iRsNpu71iORm5srunTpIurWrSsaNmwoGjduLBo2bChq1KghPv30U/HBBx+IRo0aiZSUFHerj8zdu3dF/fr1xbvvvptHvUuXLmLt2rV51LQo6XPy5Elx/fp1VX3y5MmiSJEiGpP/GVeuXBGAOHTokKr2R/JRQXaNN2VZFm3bthWvvvqquxEd16qBjs5jg7YxWb9+vfD09BT9+vUTFy9eFLNmzRJ16tQRhw8fFvPmzRN+fn5iz549YsGCBcLPz09tRCZPniwCAwPFDz/8IHbt2iU6duworl69+oAfEyZMEGXKlBGAGDRokKp/9OhRYTabxZQpU8T169fF66+/LoKDg0ViYqK4cOGCqFmzpti3b5+4ePGiOHv2rLh79+4Dbl+7dk20a9dO/PLLL2Lv3r2iYMGColevXkIIIb7//nvRvHlzsWXLFvHOO+8IQIwfP151QycvVqtVPPnkk6Jz587iypUrYvjw4aJChQqiXLly4tKlS0K4BMhSpUqJunXrioMHD4rz58+L1q1bC39/f7Fnzx4hhBDLli0TgChVqpSIiooSQghx9epV4ePjo7qj0KpVK/H6668LIYT44IMPROHChYWXl5fo16+faiY+Pl74+/uLJUuWiCtXrojTp0+L2NhYjSsPDoRGjRolAFG4cGGRmpqqmtuzZ4+QJEmsWrVKrF27Vjz99NPCy8tLfPrpp0K4Bu4DBgwQXl5eYvHixeLGjRti8uTJwtvbWwwcOFAIV3g8PDwEICZOnKi6/dxzz4lhw4ap/3V0/kn06dNHVK1aVdy/f18IVzlX6nFubq4QroFpkSJFxFdffeVm+1ceNlDNysoSNWrUEJ999pmq9jCz+am7q505c0aYTCZx/vx5ER8fL8aPHy9iY2PFnTt3xNtvvy3i4+NFfHy88PLyeqigq7i5YMECYTKZxPr168WVK1fEhQsXREZGRr5m3X//EX7L3hdffCF8fX2F3W4X48aNE+XLl88jyClcvHhRjB07Vp0wyA9te6j8btiwoWjbtq04e/asmDFjhqhUqZIoXLiwOH36tBCuCczhw4erea1152H/H6YmfkN9586dYsaMGUIIIWbPni0qV67sbkSIh9hX1ObNmydKliz5m8J+fvYVli9fLoKDg9W45uTkiMmTJ4sDBw6I3Nxc0bRpUzFlyhR3a3nSU2Hr1q2iSJEianlxOBx59LXkZ9/hcIgrV66Iy5cvixUrVoiwsDAxe/ZscfHiRZGQkCA++OAD0bhxY5GWlpbHXn5uadW1+tevXxeA8PT0FBs3blTNli1b9jfrsnDV28qVK4sJEyaoalOmTBHh4eF5zIlHCJM7165de0DQ1fIwe8KtjGvVOnTooI4BdfKS/8EAHZ1/KcrWkOzsbIYPH06TJk2YN28elSpV4vXXX+fHH3+kfv362Gw2vL29KVeuHH369KFHjx4kJCQAcOHCBcqXL0+nTp1o1aoVmzZtonz58uo2JQVvb29WrVpFzZo1cTgcqnp2djY2m41WrVpRpkwZnnzySZKTk8nIyECSJPz9/alSpQqVKlWiatWqhIWFIbtuB8W1VaVcuXJs3bqVxo0b07x5c9q3b09mZiayLNO1a1f27t1Lhw4dePfddylXrhy3b9/WhExHi7KdqFChQlSoUIHPPvuMHTt2kJGRwWeffQbAvHnzMBgMbN++nYYNG1KlShXWrFlDhQoVmDZtGrjyxWQyYbFY+Oqrr1T33bdd3bx5k0uXLtGsWTMAIiMjWb58OR06dMBqtarmhBB4enpSvnx5KlSoQPXq1SlatGiecqB8S66tcXv27KFPnz74+vqyZs0a1S1JkjCbzZQqVYouXbqwceNG+vTpw8SJE7l69SrXrl3j22+/ZcGCBfTs2ZPSpUszatQopk6dyoIFC0hISMBoNGI0GilVqhTfffcd0dHR4Noq737mSEfnn0Lv3r25ceMGJ0+eBODHH38E1xGA06dPA3D8+HEMBgMtWrQA4MSJEwwYMIBXX32VSZMmkZ6ejuTaBvvuu+/y6quv8tlnn5GYmMi4ceO4fv06ixYtYtiwYdy/fx9Jkti0aRO9e/fm1VdfZcmSJQDYbDZmzJjB8uXLGT58OFOnTkWSJHbt2kXv3r15/fXX2bdvH0ajEYPBQFJSEiaTieDgYLUOpqenP7CldNGiRXz++ed5ttLiqrtms5mKFStSoUIFKleujJ+fH6dPn2bUqFFkZmYiSRLnzp1j0KBB2Gw2Dh48yPTp01m2bBm9e/dmyJAhXLlyBVxHb5YsWcIrr7xCv3796NOnD5988gmSJLFv3z5ef/11evXqxYgRI4iPj1fDoIRJuI7x/PDDD/Tp04d33nlHbWfu3r2Lt7e3us32l19+oV+/fvTs2ZMhQ4Zw+/Zt1Q3lW3E/JCSEyMhI3nrrLfbu3UtISAjDhw8H1zbWkJAQjh8/zuuvv05sbKyaPlOmTGH58uVIksSJEyfo168fr7zyChMnTiQjIwOA5cuXM2PGDL766isGDhxITEwMhw4dol+/fvTt25cdO3aAq90PDg7m2rVrLFiwgJiYGHr27MmMGTP48ssv+eKLL9R0uHjxIu+//z537txBi+Q6bmUymUhNTWXSpEmsX7+eoUOH0rNnT7Zu3aqGffPmzfTu3Zt+/fqxb98+zp07x+zZs0lNTaVnz54sXbqUtLQ0bDYboaGhfPLJJ5w5c4bly5fTs2dPEhISWL16tVoGJUni+++/Z9q0aSQkJPDFF1+QlJRE3759GTt2LAaDgdzcXCZNmkTPnj3p168fBw8eVMPtjsFgoEKFClSsWJGKFSvi7e1N2bJlqVSpEqGhoQAYjUaWLl2qlpmYmBg1LKdPn+a1117j1Vdf5dNPP8Vut+frj4eHBwEBAcyYMUPNM0mS8mxbnj59Oq+++ip9+/blp59+AmDWrFlcvnyZlStX0rt3b+7cuYPJZMJgMLB+/XpeffVVhg0bRkJCghqm/fv307dvX3r16sXXX3+N1WpFkiRmzZrFggULmDJlCkOHDn2g7H/77bcMHDiQnj17Mm7cOHJzc5EkiQULFrBy5Uo+++wzXnnlFSZNmqTGwWq1MnHiRF555RXGjBnD3bt31TjFxcUxYsQIXn31Vb744gssFosa18cRfXSi81ihdH6xsbHcvHmT1157TVUXQqgNrOQ6hxsVFcXhw4c5cuQItWvXBqBNmzacOnWK1157jYsXL6pCrFbQFUIwbNgwateujc1my9MAV6tWjfbt2/PGG2+wfv16vvzyS4YOHUrp0qUBuHHjBsOGDWPq1KkcOnQINB2FpOnAk5KSuHLlCuvWrWPv3r107tz5AYHjzp07JCcnU6BAgTzqOg8ia56wCA8P56WXXuLAgQNcunSJX375hRo1alCgQAG1rAQGBtKoUSNiYmJUAbVIkSK88847LFq0iEuXLmE2m/O4CzB37lyCgoLo3LkzAF27dqVVq1bk5OTkMWcwGMjKyuLTTz9l4sSJbNu2DYvFkqcsKB+A06dPc/36dSZPnkylSpXUAbuCEm6F/v374+Hhwf79+zly5AgWi4VGjRrlsVO3bl18fHxYtWoVHh4e2Gw2hg0bht1uZ+bMmeBWJnV0/mlERkbi4eHB9evXAdi0aRMvvfQS1atXZ/369eCa3PT29qZKlSqcP3+ebt26kZGRQUREBLNnz2bGjBkADBo0iC1btlC5cmVu3rxJXFwcaWlp2O12srKySE1Nxd/fn6VLl9K3b18KFy5M0aJFGT58OFu2bEGWZVatWkWvXr3Yt28fmZmZ3L59m+eee47k5GR8fX357LPP1Dsfzpw5w6JFi8jJySEpKYkvvviCqKgoNW4mk4nly5czcuRIQkND1bqqra+yLHPz5k2ioqJUu9euXWPmzJlkZWUBEBUVxddff40sy5w5c4bhw4fz8ccfU7ZsWbZv387w4cOx2+2sXbuWYcOGERISgsPhYNGiRao/U6dORZZlypYty/fff8/QoUPBTQgymUxcuHCBBQsWEB4ezsaNG+nRowcWi4VffvmFxYsXI8syly9fplu3biQmJlKxYkU2bNhA165d1fOdirCruO9wONQ4FypUiOeff57r169z7949du3axYIFC7DZbKxbt47NmzeDS7BevHgxsbGxxMTE0LVrVzIzM4mMjGTu3LlMmTIFgCNHjjB06FAWLVpEYmIiJ0+e5KWXXlL9OnbsGAALFixg48aNOBwO0tLSkGWZ2NhYgoKCuHz5Mt98843aB6xcuZINGzao924oKHEyGo3Ex8fz5Zdf0qtXL0wmE/fv32fgwIFcu3aNU6dO8corrxASEkKhQoU4ffo0siyTkpICwL179/D29iYmJoY5c+YQFRVFRkYGNpuNjIwMUlNT8fT0ZM+ePSxdulT1f+3atXz//fdYrVbS0tKQJIm4uDj1PPWYMWP49ttvKVeuHKmpqQwYMICYmBjV/sNQyqS2r1T6pgULFlCuXDlWrlzJe++9B8CxY8d49tlncTgclC1bllmzZqkTBbiVKYfDwfjx4zlw4IBan7V91rhx4/j6668pW7YsQgheffVVYmJi1PtT0tPTycjIwNPTE7PZzM2bN5k8eTJFihTh+++/V8eQx48f59VXX0W4FiLGjx+vlv8tW7bQr18/1q1bx7179/L09VFRUaxcuZKAgAAKFy7M559/zpdffgmutqh79+789NNPlCpVik8++YTZs2cD8MUXX/DJJ58QEhJCdHQ0p0+fxmg04nA4GD16NHv27FHPvWvbhMcS9yVeHZ3HgXPnzomAgACxf/9+VU27XWTu3LkCEMWLFxf+/v4C1/Zj5TzK4sWLRZkyZURgYKB4//331W07+W05iYyMFAMGDFD1hRDixx9/FJ6engIQYWFh6jaq2NhY8dRTT4k33nhD1KxZU3h6eorly5erdrXuT506Vd3yGhYWJk6cOJHHD1mWxSuvvCJKliwpYmJihE7+WK1W0a5dO9G/f38hNOm3ceNGAYg9e/aIGjVqiHHjxqn6iplp06aJWrVqiaysLLF06VIRFhYmEhISRMWKFUX//v3FjRs3REBAgLp1OSkpSdSsWVOMHj06j19CCNG+ffs8Z2xSUlLE888/L/r27StatWolAgICxAcffCBycnJEbm6uyMnJUX8LIcTLL78snnvuOSFc4QoPDxdXrlwRQgixd+9e4eHhIQ4fPiyExt9y5cqJKVOmiFmzZomyZcuq2zcV/aioKFGmTBkxceJEkZaWJgwGg9i4caOYOnWq8PHxEbdv3xbdu3fPc8ZRR+efxksvvSSefvppkZCQoJ6z79ixo+jcubNITU0VzZo1U8/5DR48WLRu3Vo90zlr1ixRsGBBER0dLerXry86duyYx+3MzExRtWrVPMdHKlSoIN588031f6tWrUSfPn1EcnKyqFevnnjyySdFTk6OEEKIMWPGiMjISPUIy8qVK4XBYBBXr14VK1asEOXLlxcpKSni/PnzwsPDQ2zZskUkJyeLgIAA0bp1a1G+fHmxZMkSIfLpQxYvXixwHXUICwsTtWvXFgkJCWL16tUiICBA9XPdunVCkiSRnZ0tZs+eLUJCQsTOnTuFEEKsWLFCFClSRNy4cUO8+eaboly5ckK4tlgDar+kPUoxatQoUa1aNZGeni5mzZqlntH96KOPREBAgNi7d68QrrsLABEdHS0mTZokKlWqJLKyskTfvn1F06ZNhcViEUIIsWrVKuHl5SWOHz8uhFu72qRJE9G1a9c8W2u3bNkiSpcuLU6dOiVGjhwpypUrJ7Kzs0X79u3V/Fu5cqUoXLiwSEhIEIMGDRJt27YV2dnZQrjyPCQkRKSmpoq33npLFC5cWN1OvH37duHt7S1WrVql+ieEEPXr1xfPPvusEEKIGTNmiPLly6t6Bw8eFGFhYWLr1q0iNzdXNGzYUIwdO1YIt7jMnz9flC5dWty+fVtcunRJFC1aVO2XYmNjRdGiRcV3330ndu7cKQCxe/du1a5w5ZWXl5faZxw6dEiEh4eLrVu3ipycHFG3bt08W3UHDBggqlevrv7v2rWrqFOnjhCuNAwNDVXrwcmTJ0XZsmXFpk2bhBBCJCcni2LFiqlbobXxcOfEiROiVKlSYvv27ara2LFjReHChdXy89VXX4lSpUqJ1NRU8corr4gaNWqoZt98803RqFEjtc4oREVFCUAcO3ZM9O7dW0RGRgq73S4qVKgg5s+fL+Li4kSJEiXEsmXLhHD1ubVq1RJvv/22sNvtonjx4uLDDz9U3fv000+Fr6+ven/H2LFjRdWqVYUQQrzyyiuiY8eO6r0XkydPVrc5d+zYUVStWlUkJCQI4TrSBKjn4ZXt38qYrXXr1kK4zhLXqVNHxMfHC1mWRZ8+fcQTTzwhZFkWNWvWFH369FHtNWnSRPTt21ekp6eLRo0aiZdfflnoONFXdHUeS8xms3rDrhZlJtDhcBAUFMTq1au5fv06X3/9Nd988426la1nz56cOXOGsWPHMnnyZCZMmJDHHfcVLu3s8pEjR3j99dd58803OXv2LOXKleO5557jzp07FC1alDVr1vDll19y8OBBnn32WSZOnEh8fHyeWUqAfv36ceTIEc6ePUuZMmV4/vnn1W00uLZUbdiwgenTp1O8ePE8dnUexD3Pfv75Z0qWLElwcDAmk0ndbqQ1GxcXh9FoVG8ndjgchIaGMmzYMJYtW8aBAwfybJG6efMmp06dokePHqqagsF1G7dCYGAgS5cuZe7cuezatYuPPvqIiRMncvToUbp160b16tWpVq0a8+bNw263s3v3biRJYuXKlfj4+BAdHa2uJigz5tpyeOnSJVJTUwkICMBsNnP//n11i5NiTrmBuVSpUqobVquV/v37U6ZMGT799FNkt3cpdXT+abRq1YrTp09z6NAh0tPTefHFF3nttdc4c+YMp0+f5uTJkzz33HMA3L59mxMnTtCgQQOqVavG1KlTCQkJITQ0lKFDh3Lr1i1KlCjB1KlTycnJQZblPEdXHK6311euXEmNGjWoUqUKp0+fVlfFjEYj9erVw8vLC1yrV8WKFaNw4cIAVK1aFYPmyRlldUpbv4UQmM1mdu/eTYkSJdTdI+4o5j755BOWLVvG9OnTKViwoNq+Ke5pb6x1OByUKFGCKlWqAODr66u2gWXKlCE5OZlNmzaxePFiypcvT9GiRcG1qtWwYUOqVq3KvHnzALDb7XnaXbvdTtGiRSlfvjyAGmdtu6W0ddWrV1fTrFmzZpQtW5YtW7aobmnddd9Vc/DgQWw2GyEhIWramc1mBgwYwKlTpzh79iw7d+6kfv36hIaGEhcXx7Fjx9TwT5s2jcDAQDU8ERERlCtXDoCWLVvStWtXhg0bRuPGjdm/fz+4rTJqwwbQsGFDihUrxv79+zl9+jQnTpzg6aefzmNGi9Lment7U61aNXDlg4eHB7Is06RJE1577TWef/556tSpo/YDynhHSQ8l7oqaw+HIk1bu6aZFuPo7pc9ISEggKSmJ4cOHU7VqVZo2bUpGRoZajn+rj1DC4Z5nFSpUUMuCj48PJpMJm82G3W7n/PnzVK9encjISNasWYO/v79qX/lWdrh5enry5ptvEhcXx6JFi/Dy8sJgMJCZmUlKSgrjx4+natWqNGnShOjoaHx9fZFlGVmWsdlsecIUGhpK5cqVwbUDQakbFy5c4ODBg9SuXZuqVasyd+5cdYeg1WolMjJS/a+g1N3FixdTuXJlatSowfr169UXDOx2O7Vr16ZQoULgSgOz2UxmZia5ubl5biAPDAzE4XDg7+/PkCFDOHToEOHh4cyaNYv09HTV3OOILujqPJYULFgQWZYfOMeodASSJOHh4UHx4sUJDQ2lRYsW+Pn5qecjhBD4+fkxYMAAqlatyrlz51R77kiu85EKUVFRyLLMBx98QNWqVVm1ahVeXl7Mnz8fXI2ywWDAy8uLggULkp6ernYm2nMoQUFBhIeHU758eQYPHszNmze5d+8euLYYjRgxgu+++45nn31W9VvnV7SDOeE6X6v8t9vt7Nixgw4dOlCtWjUqVarEnj171K3DynmkgwcPUqBAAQyuN5kl1za5Xr160bx5cyZOnIjQDEA3bNhAq1atKFu2rOqXgvu2c0mS1LIAULJkSWRZxs/Pj6lTpzJr1izmzJnD66+/zqpVq3A4HHh4eLB161YOHz5M3bp11a1T2oGxws6dO5EkidatW1OhQgVSU1O5cOGCqg9w6tQpkpOT6dKli1o3HA4HgYGBfPTRRyxbtozDhw/nKd86Ov8UlDagRo0amM1m5syZg8lkwtfXl8jISO7evcvSpUspVKiQOkh1OBzUrVuXuXPn8s0337B8+XK2bNmCl5cX3bp14+eff2bs2LGMHDmSrVu35mlXlG+LxcLTTz/Nt99+y9y5c9myZQvjxo3D5HqmTtsWSJKEzWZThY709PQ8bZfSHintmKKem5vL8OHDOXv2LNOnT88TBi0mk4lGjRrRqlUrmjZtqppR2jNcz9oo7YdwbTFV/FLCZbPZSEpKIiIigi1btpCdnc2yZcsICwvj9u3bvP3227Rs2ZJly5bRqVMn1Q1turjHVYuij6uP1G7/vHXrFklJSURGRqpqSvhwTWwraepwOLh48SKRkZGUKFFCFbZtNhtt2rTBarWyefNmli5dqm5Ltdls1K1bl/nz5/PNN9/w3XffsXPnTgICAvJMYgiXwLxo0SK2b99OqVKl6Nq1a5605CEC5LBhw/j6669ZtGgRtWvXVicS0JhX0l9pz5WPYkbJG09PT+bMmcP27dvx9fWlf//+eY69KGmhfGvdci972v+yZlJTCZP2GSgfHx/effdd5s+fz9y5c9mzZw+9evUC19jFfWJD+a3krTaNhEuQ1qavYtZms1GhQgW+++475syZw5o1a5g5cybe3t4PmAWwWCzUrl2bPn36MGPGDPW8rZJeI0eOZNGiRcyZM4dt27YxatQodZLqt55m1NYDgMaNGzNv3jy++eYbli1bxqpVq1T9/OLt5eXFggULmDhxIpMmTeLbb7+lWbNm5Obmgst9bVlRfrvXd1xxVOjatSt79uxh/PjxDB8+nE2bNql6jyO6oKvzWBISEsJHH33Et99+y/jx49mwYQPfffcdzZo1Y9++fZhMJjIyMti4cSMbNmxg9uzZ5OTkEBoayhtvvMFnn33Gpk2b+OKLL7h48SJ16tQBTUcguS7wWL16tXqW9ocffuDevXsEBASQkJDATz/9RFJSEitWrODu3bu0bduWH3/8kSVLlnD27FmWLFnC6tWr6dSpEyVLluTTTz+lffv2ABw4cICxY8dy7NgxDh8+zFdffUX58uUpX748O3bs4Pnnn6dJkyZIksSKFSvYs2cPdrvdLRV0cOWZwWDg4sWLrF27lpUrV/LEE0+QmZmpDnReeuklYmNjGTJkCOvWrWP9+vW8/vrrnD9/Xr3URHIJubLrPeYBAwYQFRWlXkhhsVhYunQpbdu2xdvbW+20zpw5w/fff09MTAzXr19nw4YNJCYm8vPPPzN37lyOHz/Onj17GDFiBA0aNKB06dKUK1eO1q1b07JlS4QQLFmyhGrVqrFs2TK+/fZbFi1aRL9+/di1axdnz55Vzwrv2LGD9evXM27cOEaMGEHPnj0pX748NWrUoGnTpvTr14/ly5ezbt06Zs+ezZAhQ+jcubO6Yq18cJ1Vr1y5snpZjI7OP5XIyEhKlizJjz/+SN++fQEICwujWbNmzJ8/n44dO6rvU/bo0YMTJ05w584dqlSpgs1mIzo6mtTUVNasWcO1a9eoWLGiuvrk7e2NyWTi0qVLHD16FIvFQvPmzbl8+TJWq5WIiAju3bun7sbR1jGAoUOHcvz4cebMmcORI0cYOHCgOviXXatwWoHBYDAgu1aiatasyaJFi5gwYUKes5YKiiChuKe4U6JECbKysvjpp5/YtWsXb7/9troyp4RPab+ESyCRZRmz2UxSUhKVK1emQoUKXLp0ieTkZHUVrnz58oSFhXH16lXsdrsqsCnumEwmrl+/zoQJEzh27BhTp06lfPnyBAUFYbfbkWUZLy8vRo4cyerVq9mwYQM3btxg3rx5FCxYUF0FdReaoqKi+P7771m5ciUtW7bk2LFjjBs3TjWrCBS+vr60bduW8ePHU6NGDerXrw9At27dOHr0KFeuXKFatWrYbDZu3rwJbsKIJElcuHCBNWvWEBgYSKlSpfIIKgpBQUGkpaWxf/9+Tp06BUCtWrVUAbVXr1550luJi+KW7BKwtGVFK/jExsby3XffUaJECfXsqZJ2VquVbdu2qRPuihteXl6EhIRw5swZDh8+TEZGBm3atCE+Pp7169czf/589u/frwqTygrq9u3bOX36NLVq1aJ48eJs2bKF0qVLU7RoUe7cuaOeUR8wYAAzZsxQ01sJsxIfbTqiKWeKGaWceXp60rRpU3Jzc0lOTqZChQpYLBb1HKqSBtrfyvebb75JUlISycnJanls0qQJ33//PSEhIYSHhxMbG0tycjLe3t5UrlyZ06dPc/jwYdLS0jAYDHlWeLXp379/f44dO0ZycjIRERFkZ2dz69YtcNWz/DAYDMTHxyPLMlWqVCEtLY1jx46pwrXWfVzpZLPZ8PX1pVq1ahw6dIjDhw/z2WefcezYMcxmM1lZWaxdu5bk5GSqVaumtgePNe57mXV0/s1ozyfl5uaKGTNmiBIlSgiDwSAKFCggRo8eLXJycsT69etFtWrVROXKlUXFihVFgwYNxJo1a4TD4RALFiwQ4eHhAhC+vr7i3XffVd3UnkMZNmyYKFeunKhVq5aoXr26KFu2rFixYoXIysoS/fv3F6VKlRINGjQQ4eHh4oMPPhDCdfancOHCokyZMqJAgQJi0KBB6lurEydOFA0aNBB2u10cOXJE1KlTR5QpU0YUKVJENGjQQL2qfvz48SIyMlLUrFlTVKlSRVSoUEG0a9dOdUfHiZJXdrtdDBs2TFSqVElUqVJFREREiBdeeOGBM89Lly4V5cuXFyaTSQCiUaNG4scff1TdW7p0qahbt66w2+2qu7179xYNGzYUd+/eFatWrRJly5ZVnx5S3P34449F6dKlRY0aNUT16tVFRESEWL58udi0aZMoXbq0KFOmjChWrJjo2LGjOHv2rGpXsZ+UlCRatmwpvvjiizzuXr16VdSrV0+sWrVKnD9/XtSpU0dUqVJFVKpUSdSpU0d89dVXeZ7UuHr1qujSpYsICAgQuM7tvffee+ob0YmJiaJMmTJ54rx3715Ro0YN8eWXX6pqOjr/FLT1aOLEiSI4ODjPucbp06eL4sWL53mmx2q1ivfff1+Eh4eLhg0bisjISPHpp5+KzMxM8fLLL4uwsDBRqlQp8eqrr6rnUpcuXSqKFSsmIiMjxY0bN1SzRYsWFfXq1RPVq1cXu3fvFlarVTz77LNi1qxZqn82m030799f+Pv7iwoVKoh3331X1KxZU9y+fVv89NNPok2bNiIzM1OcP39efUYlNTVVVK1aVWzZskUI11vXTz755ANn8NesWSMqV66svvOtqOfk5Ihhw4aJAgUKiOrVq4sRI0aIJk2aiNzcXLF8+XLRsWNHkZiYKITr2ZxmzZqJ2NhY8d5774nIyEgxcuRI8dZbb4nixYuLl156SQjXM2pVqlQRTZo0EfXr1xft2rUT6enpYvny5eq5z5kzZ4qGDRuKdu3aidDQUFGxYkX1HflvvvlGtG/fXmRnZ4vs7GwxePBgUaZMGVGpUiXRtGnTPOdztfn6xhtviCpVqojKlSuLiIgI8dJLL4lffvlFKHz00UeiVatW6vnOn376SQQEBIiPP/5YNeNwOMTYsWNF0aJFRYMGDUS1atXU56LGjRsnevfurZo9evSoqFChgqhYsaIIDw8XixYtEkII0bNnT/WptszMTNGpUydRsGBBVU0IIXr06CFCQ0MfeI5OYe3ataJp06bi7t274saNG6JZs2bqW+7p6emiefPmYuvWreLw4cMiLCxMjbdyXvj+/fvi+eefF56enuLdd98V58+fF40aNVLvKvnxxx9F+fLlRYkSJcSZM2eE1WoV/fv3F8WLFxfVq1cXn3/+uejTp4+wWCzCbreLQYMGieDgYNGlSxchXHGvUaOGqF27tqhZs6Zo27atiI6OFjExMQ+cdxWa8qaE48CBA6rel19+KV544QWRmZkphBDihx9+EG3bthVpaWlClmXx7rvvipIlS4ratWuLypUrq32Qdgx248YNUaxYsTzp+fnnn4sqVaqIdevWCaHpJyMiIkS9evVEixYt1DO4Bw8eFOXLlxfh4eHi4MGDYsmSJaJ9+/aqW3PmzFHjnp2dLYYOHSqKFy8u6tWrJyIjI9X37Pv37y9Gjhyp2rt165aoUKGCOHfunLh375546qmnRLly5USnTp1Ew4YN1acHX3/99TxvAI8bN069S+Tq1auibNmyIiQkRDRo0ECMHz9ejB49WmRlZYlXX31VlC1bVpQpU0a8+OKLec7HP45IQjtdoKPzGKAt8pIkkZ6ezv379/H396dgwYKgmelWzBtczzAoM4zp6ekkJibi6+tL4cKF88ymKjOQyhXx2hlJxR1ZlklMTCQlJYUiRYoQEBCg2k1LS+PevXsEBgYSFhbmCqnTPbvdjq+vL5Jr9TA6OhohBMWLF8fT01Od9VRmahX/Ha5trdptSI87SvoIIdQtVUoeKlvdZM1WLUmSyMzMJCkpCYfDkSfNFT1ZlgkICFDVFHeNRiM9evQgJSWFbdu2qfq4tsVp/VH0PDw8yM7OVp/VKFSokLrdSlvecD2FEhgYqM4EK26lpqbi7e2N2WzOs21MW54VJNdMe1JSEhkZGQQHB+e5rdvhcJCeno6/v3+ecNhsNgwGw29u8dLR+TuilH+lHKempqp9gKKfmZmpnkPV1pf79++TlJREaGioetbTbrdz+/ZtTCYTxYoVy3M+PyEhgZycHMLDw8G1OnPnzh1ycnIoUaIEPj4+CNctr76+vg/Usbi4OMxmM4ULFyY3NxcfHx8cDgc5OTn4+/tz4sQJ6tWrx969e2natClpaWn4+/ur7VhqamqeNgLX2cHs7Gz1vKk2PWRZJiYmRl3ps9lseHl54XA4yMrKIjAwENm1omyz2UhLS6NatWqMGDGCkSNHAvDiiy9y+fJlzpw5gxCCmJgYjEYjhQoVIjMzk6CgIGw2G1arFV9fX6xWK1arFS8vL6KjoylcuLD6nJDNZsNiseDn56emX1JSEikpKZQqVQpPT88H2mvFntCsDprN5jxtbU5ODg7X2UbZtbsnPj5evZtBcUsIwf3790lMTKRw4cIEBweDKw2Fa8uy5Opv09LSiI+PJyQkhODgYCTXjh6bzaaGPzc3l+joaIoXL66eCe3SpQsJCQkcOnRIDa8SJuHaXp2Tk6P2Menp6QQEBKh5nJWVha+vLwaDgfT0dOLi4ihcuHCedtxqtXL79m3CwsLw8/NTbwJXykVSUhJZWVkUL15cvcU3JiaGwMBAChQooNYHpVzevn2bkJAQgoKCwLWF9s6dOxiNRooWLYqHhwcbNmzgrbfeUu+90OaH5BqfpKamEhQUpIbDarWSm5urjo2U9PP19VXjcvfuXdLT0ylUqJCaH9oybLFYSE9PV48dKOMih8OB0fVEl+Ta5n/v3j0crvPnynZsXH1renq6uqPDbrfnGWsp9UIhPj6e1NRUihYtquaTxWJR+1w05c7Lywuj0Uh2djYxMTEUKVJEdcvsukdGCIGPjw+4yowsy+r/tLQ0EhISKFy4ML6+vmRnZ+Pv76+ODT08PAgLC8vTDj2O6IKuzmOH0sDmh3t10JrT6j2K/fzMaBvh/NTz09MiXFuQFIH1j4ZPJy/KwOhh6aXNr/zKjda+op9fPqSlpTFy5EhefvllmjZtmmdAJtzORT0MoRHElYEP+ZQBbRi0fjws7Iqeu76Ce3we5oeOzj8NpQznVwe07azWTH7l3r2OaHE37/5fwb0tccfdvNadZcuWMXXqVLy9vdm2bVueS2q0dV9rxz0cv5UWCu7x1LphtVoZMGAA27dvp3bt2litVq5cucInn3yiPrfjjjaNteHUIjRnR939zw/3tNOaU/zIz52HpYcWrZ7iTn7m3cPmbk75rzV34cIFmjdvzsyZM3nppZf+cFiFWxpp3dYKy+565GNfGzdt2BWzCu7q+ZnH9exQREQEPXv2VM2iKUMPc0cxo9XT4u6Puz5u5TQ/NXc3cEsPrRoPsev+/1HV3P9rzSnpILlNdij+a/XdUfR0nOiCrs5jhXvDom0Q8mvIFNzNa/W1/5Xf7mZ4SOPzMPPu5nhIZ+X+Oz97Ovkj3DoL9/R3T9v8fiu423VXU/5rOyutGe1/rTkFxV/38OYXHq26u35+fmvtavkts+7/3dHa1dH5u5Jf3XHnYXXzt+qYgmJe+Z2fGXd33L/d7Uiaga/ClStXuHHjhnpDq7t9LVr3eUi4FD1FX2s2P/8VdYfDwZEjR0hNTUWSJCIiIihduvQDfReaeOB2KZKip+Ael/x+u6tp7bm74467unt8ycdPrbn8zCg8zF2tGi5zaWlpHD16lGbNmj3wfq5i9lHi6x6e/OKi/a/gru4e1t/C3W93HA6HuqqYXzoo6uST1vnF2z1uWtzD4J4+Cu7uuH+7m1N+k0/auNvNzw0Fd/WHuaX85iHpoOBet7R28zP/OKILujqPFY/SGLg3Su6NjdZ+fjNtWrPK98MaG607Uj4Cl2Lmt/x1N6M1p/PbPCz9tOSXlu7lRpu/7mVBUTNotkK729Xirie5BoSKPa2b7vbQlCV3vYf5hyZ8+fmnmM/P7sP0lW/tYFhH5++Gtrzn154q3+71UalfWj3F3m+5727Hvf4o+grudU7rvtbf38PdD6261h13c+7m/xPyc18hv/g/Cu7ukE9aKWr/LYqbyre7UM6f5I+Ojs5fgz4K0XmseFiHi0tAwGVGGehrOznlo5gVGuFFQdupK//Jx1+t/+72cZlXPlqzWn333+5+6Pw2+eWVkpbatNXmj5Lv2jR3T2+tGYX88kj7290NNM97KGa1YVPM52dPa05rzz2s2jBohVzlP/mUTffwP4qajs7fGW15xa3+KB+lPmjLtXvZllxthdaeYtbdnCGf50HQuKsNjzvubgu3537yIz/3FH+0dV/5KHbyi+cf5WF+K9//bVvxZ4UzP/JLF8Uvrfpf4beOjs6fg76iq/NYkV/HKty2irqb0a7EPQz3GfuHmXXXUzpJ985SymcVQGtGq69V0/7W+X3c0849HxQUdff80+rzkMGaYlebn2jMupc9rR1FT/E3v3C6h+lhcVBwd4uHxM/dHUkzAaTlYXF3N6ej83fEvdxq6517HVD0tWVeW3/zw92Me71TzLj7paj9lroyEeU+UfUouJvXhkH7/d+iDXt+7rrrPwoPS0utWwqP6mZ+iHzafMUfoRkbaNt1HR2dvxd67dR57NB2XsoHVwfm3ilqhdyHfRRzWjv5uStpZvIVvfwGFdpvbVi1YXb3U9vZK/o6v417emq/H6auzT/tJ78y5T7o0tpNSEjgjTfe4OzZs6q+4r5izn1wrDXnrqaghMM9LFqzivvkU17cB+3u9n/Lrnu43OOvo/N3RFuOJVe9U34/rC4oH61Z93rhbkaL1nx+6oo9rRnlt1ZdaS+UcP6ROpef/+RTj/8MJEkiPj6eHTt2IMsy169f5+DBg+Tk5CDlI/z+HkoaucdX69Yfce+3UNzSuun+2z0cOjo6fx8ebIF1dP7FaDuoiRMn8v777yNJEsnJybRv35758+fnEUief/55Vq1ahSRJzJ07lyZNmtCwYUOeeeYZdu7cmaeDliSJs2fP0rlzZ7Zs2aKqAXz//fc0b96cJk2a0LRpUxo0aMDy5cvVTlLrxrZt2+jUqRO7du1S1XE9FfP2229Tr149atSowZIlS1Q7BoOBmJgYnnzySSZPnqza0Xk4Stra7XbGjh1Ls2bNaNy4Me3bt2fHjh2kpKTkGcTcv3+f8ePHU6dOHerUqUOfPn24e/eu6tYvv/xCq1at+Pnnn8E1CI2NjaV169ZER0fnycvjx4+zZMmSPM8+aJk/fz7t2rUjKytLLYubNm2iWbNmavnp3LkzycnJDwyklfIAMGPGDHr06EF8fHwe/4cOHaq61bJlS7Zv305GRoZqX5Ik7t69y4QJE6hduzb16tWjZ8+e3LlzRzVz4sQJGjVqxNGjR1V3ExMTGTx4MAkJCXn809H5u5KVlUWzZs345ZdfADhw4ADNmzdX219Jkrh27RrDhg3DbreTkZHB4MGDadasGfXr16dv377cuXPnAWHt22+/pU2bNiQlJYGrzthsNj744AO1H2jatCmNGjUiJiZGtQdw9epVOnTowJgxY1Q1xf3c3FzefvttunfvrtZZhYfVOXdB7OTJk7Ru3ZoaNWrwzjvvcO/evTx2ly9fTtu2bbl37x7kY//3cJ8gADh8+DAvvfQSNpuNNWvWMGTIEFJTU/OYeVSUp/mU/Nm6dSs1a9YkIyNDFfyV9HpY2B+mrkVxf/PmzbRs2ZImTZrQpEkTWrdurbZ7ipk/wqP4raOj8+egC7o6jyWSJHHx4kVOnjwJQEZGBtu2beOdd97JM3A/efIk0dHRAFy8eJErV67w1FNPERwczDPPPMPMmTNV9wBWrlzJhg0b+Pbbb3G43uEFiI6O5vz587Rp04a2bdvSrl07SpUqperjeiduypQpdOrUiS1bthAbGwsutzMyMujcuTO7d+/m6aefpm3btuqbbAoTJkxgx44dTJ48maysrDx6Og+iDDZkWebo0aOkpKTQoUMHgoKC6NevHy+88II6AExNTaVdu3YsXbqUDh060LlzZ06ePEmLFi24fPkyADExMezZs4fhw4eTmJgIrnfvDh06RG5uruoXwNKlS+nWrZv6pqbCvXv3eOONNxg4cCDHjx/PU4auXbtGTk4O7du358knn6RRo0Z5BrqS2+pRQkICixcvZvny5ezZs0dVxzWYz83NpV27dpQuXZquXbvyzDPPkJaWhiRJ3L59mxYtWrBy5UqefvppnnjiCfbv368K7bgmbw4dOsRbb72F3W4HICcnhzNnzpCTk5PHPx2dvyuyLHPw4EHi4+PBNcm0f/9+hg8frta/1NRUjh07hnC9ZXro0CEcDgddunTh0qVL1KxZkzNnzqhuZmZm8sknn7Br1y4WLFiQx68TJ05w79492rVrR5s2bXjyySfx9vYGTZt07do1tm7dyqxZszh69GgeQWrnzp188cUXbNmyhVOnToFG2BKuIxJatxR9hZiYGHr06IGnpycvvPAC+/fv5/PPP1f17XY777//Pjt37uSHH35Q1XHbMZIfinp+gp/seucVV7uYmZmZp337I/Ts2ZMvvvhC/R8cHEyFChWwWCzgJnwq3+5h1qq767kTExPDgQMHqFWrFk888QRt27ZV32Z9FNzdd08fd32Fh6lreRQzOjqPM7qgq/PYomz7QiMkZGVl8eWXX6oDd5PJpF6LL8syZcqU4f3332fRokU88cQTLF++nMzMTABSUlJYvXq1+pbg+fPnNb5BsWLFGDduHB9++CHjxo2jcePGoOn0kpOTSUxMZObMmYSGhubpwHbv3s2RI0dYunQpH3zwAVOnTuXFF19UBzXbt29nz549DBgwQO/4HhFlYKh8N2nShPfee4/ly5ezZs0aTp48ybRp0wCYO3cucXFxbNiwgY8++oj333+fjRs3YjabGTduXB53z5w5w6pVq9T/RqNR/W0wGEhISGDv3r1q/mvzKyYmBkmS+OSTT7DZbHn0HA4HzZs3591332X8+PGMHDmSUqVK5TEjNAPdX375hcTERF544QW++uorNa64ynLLli157733WLhwIevXr+fkyZNMnDgRXKtR6enp/Pjjj4wbN44JEyaoq77K5I7BYMDT05OLFy/y/fffw3+4uqGj8/+JEAKj0ajWU6PRiLe3N9HR0SxduhQ0fYW2bD/xxBOMHj2ahQsX4unpycKFC1W9I0eO4OHhQZMmTThy5EgegU4IQc2aNXnvvfcYO3YsY8eOfUBoUvzx8/N7YHfQrFmzKF++PEWLFsVoNLJ//362bdum1u/09HQWL15McnIyAEePHuWzzz5j3rx55OTksHPnTm7evMm0adN47733+Omnnxg1apTq9w8//EDBggV5+umnWb16teq30s4odTwjI4ONGzfyySefsHbtWiwWC5Jri/KSJUv49NNPWbFiBWlpaaBJZ/JJz7i4OObOncuUKVP48ccfsdls4GqnLl26xMyZM/nmm2+IjY1l9+7dHDhwgJ9++onp06cTFRVFkSJFaNy4sfp+cGJiIvPmzcsTBsk1ub1u3TquX7/OZ599xurVq8nIyHhom6WNs7+/P0OGDOHDDz9k9OjRlClThuvXr7N27VoOHTrE9OnTuXv3Lnfv3mX9+vVMmjSJZcuWqe7Hxsaydu1azp8/z7Rp01i8eHGe1f7Y2Fi+++47Pv30Uw4cOKCqnzp1ihkzZjB9+nSOHTumhkvv53V0Hg1d0NXR0QgIo0ePZsWKFWzfvh1cHY37hR+4hNKYmBjCw8Px8/MD1+DGbrfTq1cvihQpwv79+1X3DQYDOTk5nD9/nnPnzhETE6O6pXwXKVKEzz77jNq1a2Nwu815/fr1tGrVivv376sdod1ux2AwkJuby/vvv0/v3r2pV6+eeluvzm+jDAwl1ySHMrkhSRJ169bl2WefZceOHcTGxrJnzx4iIyOpXLkysuuG05IlS9KkSROuXbuG3W5HlmWKFi3KoEGD+PDDD0lMTMwzkaKwcuVKfH19efLJJ1U1XOGpU6cOX3/9NSVKlAC3W4+NRiMHDhxgxowZbNu2TV0dUeKg/Fb83LRpEy1btqRHjx5cuXIlz/ZIg8Ggrn4AtGzZMs92/CVLlvDMM89QsmRJtXxWqFAhz+DX4XBQu3Zt2rVrx7hx40hISMBoNKrpqqPzT8RisdCiRQu6du3KxIkTSUhIwGw2q8KFUrYV4TUxMZGsrCxq1aqlujF//nwqVKjAlClT2LJlC8ePH1f1JNdRmatXr3L+/Hnu378PbhNeQgj8/f3p2bMnX375pVrXjx8/TnR0NF27dkWWZYxGI7t376Zr167qDqCff/6Z3r1743A4WLBgAU899RRHjhxh5cqVdOvWjYoVK+Lr68uYMWO4ceMGgYGBhISEqP5v27YNf39/hg0bxo0bNzh06JAabgWHw8HQoUN56623iI6OZvTo0Xz33XckJCTw4osvMm7cOC5dusTw4cN54403QNN/Kh9cE8lxcXF07dqVxYsXc/36dfr27cuyZcsA2Lx5M40bN+bgwYP88MMPDB48mJ9++on09HQuX77MwoULSU5O5tixY4wYMQKA2NhYnn76aT7//HNu3rzJm2++yZAhQwBYvXo1L730Es8++yxHjx5l8ODBjB49Wo2XO7/Xju3fv5/nnnuObt26MX/+fI4dO8abb77JlClTuH37NoMHD2bkyJHgmnDo1q0bHTp04MKFCwwZMoQhQ4Zgs9mIjY2lY8eOfP3115w7d44ePXpw8eJF9u/fT8eOHdmzZw+HDh2ie/funD17Nk+br6Oj89vogq6OjqZDa9OmDc8++ywff/xxHnUADw8PTpw4QbVq1ahcuTJms1ldAQP44osvaNasGQ0aNKBLly7MmDFDnZk2m81ERUXRrFkzGjVqRJ8+ffIIKlrcBWCA27dvs3fvXsaOHcvatWvp0qULH374IQALFy7EZrMxaNAgdRVQa1fnt3lYenXo0IGzZ89y7do17t69S506dcAtv8qVK4ckSdjtdlV94MCB+Pn5MW3aNIxGI5JmNcRqtbJz505q1apFsWLF1IGze54rYdL6Vbx4cbKzs1m2bBkDBgygffv26uDWndu3b7NhwwZeeeUV2rZtS6FChfj6669Vfa0ArfgZEREBrrPI9+7do1q1auAW3woVKqjn6oQQOBwO3nnnHe7fv8/ChQsxm8154qOj80/EYrEwePBg7ty5w+LFi/MIFkIIzGYzX375JZUqVaJz585069aNnj17AnD58mWOHj3Kc889R61atShUqJA6cSqEwMPDg927d9OgQQPq1avH/Pnz8/itIMsy9evXR5Ik1cyyZcsIDg6mRYsW6vGA7t27k5OTw8WLFwH47rvv6N+/PwaDga+++oonn3yS1atXs2XLFkaNGkWjRo2YO3cup0+fpnbt2nz88cfYbDYkSeLKlSts3LiR999/nxYtWiCEYNu2bWqYlDTYvXs3q1evZtq0acyZM4ft27fToUMHFi1axPXr1zl69CiLFi1i4cKFbNy4kXXr1uHp6anaV76NRiNLly7FbrezY8cO5s6dy2uvvcaECROwWCx88MEHdOjQgZUrV7Jx40ZGjhzJmDFjKFu2LM888wwHDhygXr162Gw2jEYjZrOZb775BovFwrZt25g9ezYLFy7k22+/5fLly3h7e6tnnFetWkX//v05cOAAKSkpahy1KO2Y0WgkOTmZ1q1bEx4eTqtWrcjOzlaPD02dOpUjR47Qtm1bpk2bxr59+5g9ezaffPIJy5YtIycnB6PRqJ7RXrBgAYsXL2b16tXEx8fzzTffkJyczNq1a1myZAlr1qyhSJEiTJ06lfbt27N+/XpWrVpFiRIl8mzZ1ttZHZ3fRxd0dXQ0+Pv7079/f86fP8+SJUvw8vJSO2VZlilevDgjRoygUaNGGI1GihUrBsCtW7e4du0aZrOZc+fOIYQgNjaWvXv3gmsGvGjRonz++efMmDGDDz74AF9fX/gNQUtZmQPIzs6mQYMGbNy4kcOHD/PWW28xZcoUDh06xOzZs+nfvz/+/v7k5OQghMBqteZxS+dBtAIc+QwaLly4QEhICH5+fkiSRHZ2dh59gPT09Dwr6FarlfLly/Pyyy+zaNEiLly4gMlkUvUvXbrEpk2b1NUHXP7mt/KrDY8Qgueee46jR49y9OhRVq1axfHjx5k+fTqHDx+mW7duvPTSS/Tq1YucnBw2bNiA5LpQ6sqVK3h6enLgwIEHLq/RkpSUhBBCPS+onCvWls/MzEw1rMJ1XrFChQr07duX6dOnc/nyZTw8PPKY0dH5p+FwOChXrhwDBw7k888/JyoqSp3EMRgMOBwOGjduzJAhQ/Dw8CAoKEitu2fPnuXGjRv4+/tz/PhxIiMj+eabb8DVpttsNmrWrMmXX37J119/TefOnSGf9shqtdKyZUvq16/P9u3bSUhIYPny5YwePRoPDw8k1wRbuXLlaNWqFYsWLSI9PZ09e/bQokUL0tPTuXv3Ls2bNwfAy8uLRo0aAfDcc89x6NAhRo8ezYcffqhuXT59+jQpKSkkJCRw5MgRypQpw9q1a9XjOUp9TkpKQpIk2rVrB0Dp0qUpVqwYV65cwc/Pj5CQEACaN29OgQIFiI+Pf2C3h+S6WOvChQvEx8fz1ltv0a9fP7Zs2UJOTg7JycmkpKRQpkwZAHx8fGjQoAH+/v6YTCa8vb0JCAhAQVkx3rlzJxEREeodGA0aNKBYsWKcOnUKi8VCZGQkvXr1Ald/j2Z1/mE4HA68vb15+eWXefvtt3nllVcwm83Y7XY8PDxo1qwZfn5+eHt7I0kSQ4cOpVevXixbtgyj0YjD4cDhcFCsWDFatWoFQNGiRZFlGbvdzr179yhQoIA6nqhduzZpaWlcu3aN06dP07dvX/r378+VK1dIT093C52Ojs5voQu6OjqaDjw3N5e2bdvSvXt3vvzyS+Li4tRzRXa7nbCwMF555RUmTpzIzZs3mTNnDgB79uzhxo0b3Lp1ixEjRnD69GkcDocq6NrtdkJCQujduzd9+vShWbNmqr/uAxylw9ZSqlQpvLy88PLyAqB169bqKvGVK1eYOXMmFStWZNKkSeTk5NC9e3d1tc/dLZ38UfJZYf/+/bRp04Y6depQtWpVDhw4oOaXJEk4HA4OHjxISEgInp6eyK5nqGRZZsSIERQrVoyPP/44T/5u3ryZatWqUb58echn27GCoq5VM5lMeHp6AlC/fn1q1KhBcnIyJUqU4Omnn6ZTp05069YNDw8Pdu3ahcPhYOXKlbz33nv4+flx5MgRLl26lMd95bfFYuHChQsUKlQIX19fqlevzt69e1UhXjGzc+dOnn/+eTVMuCaAxo8fj7+/P5MmTVK3gCtu6+j8nXGvZ0odBhgzZgzBwcFMnToVg+ZMqSzL1KtXj4EDBzJx4kQ+//xzrl69Cq6tv0WKFOHrr79m4sSJ5OTk4HA4OHToECaTCVmWKVu2LD169KB3795UrFhRnUxS3Ff+W61WRowYwcmTJ/n4448pWrQo9evXVwUzZfvyM888w6lTp5g2bRqhoaE0adIEi8WiClL5ERYWxqhRo/jwww9ZuXIlNpuN1atXExYWxqJFixg/fjxCCG7cuMH169fdrSPLsrpjSUEJt4LD4SA3N1dtG6V8dnvIskxoaCgdOnRQzz2vWbOGwMDAPDtPtCjuadH+19qzWq2kpqZSoEABNW+VMCjm3N1yj4csy/j6+tKnTx+GDh1K79691e3s2jjFxsbywgsvkJqaSteuXalbt66aV5Krz1D8VHYBaT/uyLJMuXLl6NSpE61bt2b27NlMmDDB3ZiOjs5voAu6Oo8VSockXGdylU7HvfMdMmQIUVFRJCYmqnoOh0MdNFSqVIlGjRqxcuVKUlNT+fbbb+nSpQs7d+5k48aNbNu2je7du6uXXRhcZ3Rv3bqlftwvwRBCkJKSwp07d7DZbCQkJKi397Zq1YodO3Zw8OBBAGbOnElkZCTNmjVj27ZtfP3118yZM4cXXngBg8HAqFGj1Fn1/AYXOnnzXJZlUlJSiIuL48qVKwwaNIgzZ86oM//t2rXj0qVLfPbZZ9y7d4+EhAQmTJjA/v37eemll1T3lLO6QUFBvP766xw+fDjPWVjlnFxQUJCqpsVut6srKjabjdu3b5OQkEBubi7btm0jNjYWi8XChg0bOHfuHFWqVKFYsWL06NGDbt260a5dOw4fPsyuXbuYM2cOW7duZdOmTaxduxY/Pz/WrFkDrvhmZGRw//59zp49S9++fTlx4gRjx44FoHfv3mzatIlvv/2WpKQkEhMT+eijjzh48CBPPfUUaOqQw+HAx8eHt99+m23bthETE5NnN4KOzt8ddwFE+Q4NDeXNN9/k8OHD6hNhSrlXhLwWLVpQpEgR9bzokiVLmDJlCtu2bWPTpk38+OOPhIaGsnDhQrXNSU5OJi4ujujoaG7evKluHVZQ+iZZlmnYsCEFCxbkq6++omXLlhQsWBCLxZInzL169cLhcKjPn5UsWZJSpUoRERHBjz/+iNVqJSoqio8//ph169Yxf/58kpKSiImJYdeuXZQoUYIbN25w8OBBJk2axLZt29i8eTPff/89ZcqUyXPsAc3E69KlSxFCsHXrVrZt20b58uW5f/++OqG2YMECvLy8aNWqFbm5uTgcjjx9r9lsplKlSsTGxlKnTh26du1Ku3btMBgM+Pj4EB4ezvHjx0lNTeXGjRt8+eWXZGdnExgYSHR0dJ7niZRdTE2aNOHEiRPqZZArV67E09OT6tWrq+2zktZKeAwGA4mJiYwZM4ZLly49IHwqq/j5jRfsdrv6//r165w/f5533nmHDh06qDt+3O3gCrMi7FaqVIn4+HiOHj1Kbm4uCxcuJDU1lXLlypGWlsZTTz1Ft27dqFmzptqfKGHR0dH5bfTRiM5jhdJxSZJEQEAAwcHBqp6vr6+6nTgyMpIRI0ZQpEgRVWAMDQ2lSJEiqvn+/ftz7949fvnlFy5evMiAAQOQJAkPDw9wvVV6584dbt26pW5JeuGFF+jatStdunRhw4YNoFnVTU1N5a233uLDDz8kNDRUfYLm1q1bdOvWjY4dO/Lyyy8TERHB5cuXmTRpknpeqE2bNrRo0YLatWtTvnx5GjVqhJeXl9q55jdb/LijTZMyZcpw+vRpOnfuzEsvvcSBAweYO3euemFUt27dePvtt5k5cyalSpWiePHirFq1is8++4w+ffqAa+BRtGhR1d0ePXrQuXNnSpcujZ+fH7t37yYzM5OWLVuq/roTFRXFiy++yIIFCwgPD6dXr168/vrrWCwWli9fTqNGjYiIiGDgwIG88MILvPbaa+5OcPfuXQoUKECnTp3AtVJdsGBB3nzzTTZt2gSu87i//PILHTp0oGfPnty8eZNFixbl2do4ZswYPv74Y8LCwihXrhw//PADX331FV26dAEgKCgIHx8ftby/8sorPPvssxQrVuyBp690dP6uGAwGSpcurbb9wcHB+Pn5qbft9+zZk06dOlG8eHEkScJkMhEYGKje8FumTBm6dOnC4cOHWbJkCeHh4dSvXx9cuzB8fHxo3rw5J06cICEhgbJlyxITE0OXLl3U/iAuLg40wpCvry/h4eFIkoSXlxe9evUiODiYl19+GVy3MSv1D9e23g4dOoBrkgrA29ubt99+m2vXrlG+fHlatmxJbGwsQgg+/fRTihcvTvny5UlPT2fu3Lns3r2bkJAQtc0zGAwULVqU9u3bc+nSJbWfEkLQsGFD3njjDcaNG0f58uV58803SU9PZ8SIEXTq1IkOHToQERHB9OnTmTRpEhEREZjNZsLDwzEajRQoUAAfHx9MJhNvvfUWrVu3pl27dtSoUYMmTZqwfv16AD7//HPi4uKoUqUK7dq149ixY/j6+vLpp59y9OhRqlatyoYNGwgMDKRChQrIsswHH3xAgwYNaNu2LaVKlWLBggXMmTNH7ctDQ0NVIbFw4cIEBATg7e3NzZs3mTdvnvpWuBYfHx9CQkLUtk7BbDZTrFgxVb1WrVp0796dJ554gjZt2nDo0CHKlSuHwWDAy8uLkJAQdVeWUu4MBgP9+/enYcOGPPXUU9SuXZtZs2bh7+/PV199RXZ2NjVr1qRmzZo8++yz6jNW2rGMjo7Ow5GE+zSTjs6/GKWzxvVWocFgoGzZsqSlpXHu3DkaNGigDnAyMjJISEigYMGCBAYGcu/ePbKysihbtiy4Liw5fvw44eHh3Lp1izp16qjCpeTapnT06FEiIiIwmUwkJCQgNFuiChYsSIECBdSw2Ww24uLisFqtmEwmddto0aJF8fb2Jj09nQMHDpCYmEibNm3UMz6SZuY5Li6O9PR09WIhNIMnvUPMi7bpS0hIIDMzU8270NBQ9fyXoma327l8+TJnzpzB4XDQunVrdQID4MaNG6SlpVGzZk3Vzr1798jNzaVUqVIMHjyYAwcOcPLkyTzlUEt2djZxcXFqngrXakOpUqXIysrixIkTXL9+nSpVqlC3bl115VSbx9HR0dy/f1+9BVbxKyUlhUuXLtGwYUPu3r2rXmYjyzIlS5ZUt0Vrw3b27FlOnTqFn58fderUyfPu7927d4mJiaFu3bqq3/fv3yczM5OiRYvqwq7OPwKHw6E+URMQEEB0dDRpaWlUrVoVXOU6JSWFjIwM9Rbyc+fOUahQIcLCwgCIj48nKiqKEiVKEBsbS/369dUjKJIkkZSURFRUFHXq1FHrCJp6W7JkSTw8PFTzmZmZ3Lp1S+07UlJSiIqKonr16nh4eJCTk8OFCxeIjIxUL3maOnUq8+fP58iRIwT9H3vnHRbV8fb977K79A5SVToqImBDwN4RxIai2HuJiYkaNSaWxBprNNFEjdGYqDGW2HvDhgo2BAVBFFBEunTYdr9/PHvOezguxjzPr8Q4n+vaa8+Zck85c2bmnpkzY2nJy8rIyMCVK1dgb2+PDh06wNDQEFlZWbhy5QqkUilCQ0NhaWmJ58+fo7Cw8LVN6IqKivh6Q5gmaHeBTkpKQsuWLeHj4wOpVAqNRoNLly7h+fPnaNmyJRo3bgw9PT2UlJTgxYsXaNSoEYqKivD06VP+hIGqqirExcUhLS0Nnp6eaNu2LV9/5Ofn48yZM7C3t0e7du34NvbOnTtIT09Hz549+Tx2c3ODRLufwqVLl5CTk4O2bduiUaNGAMDHoUmTJvx9ZmYm/Pz8sG3bNmzcuBHHjx/nnytHQUEBMjIyEBAQAJlMxudBbm4ucnJy4O/vz+dJWVkZTp48CWtrazRu3BgVFRXw9PREWVkZMjIy4OfnBz09PZSWliIrKws+Pj7Q0+6Cf/78eVRUVKB9+/Z8HMrKyhATE4PCwkIEBgbCx8eHD1+j0fBtAIPB0A1TdBnvFVxx5xSIuhA25nXdQ4fyqMtcl5kQ4Sv4Z27E9iT6tov758zeRvb7yp/ljTDP68p/vEGOcBCipKQEkydPRv/+/REVFcW7ESMuZ3+GLve6nj10lA1dcHHm3Ijd6cqHtzVjMP5uiN8FXfcQvTskaDvqevc5O+G7JDTTha73VVf44nuJdtmuq6srBg0ahPXr1wukvI6uOIjNxOEIzYToshfLhmCZrVhR/jM/kjrqILEZx5/JEz83zp1SqcTkyZMxePBg9OjR47W0iuWJ48Ddi83F9nWhy55EZU0MZ68rjxgMxv+HKbqM9wpxg6Srgfl3IG5YOTMuDpzdm+JTV5zF90Lq8sP4H8T58qb80mXGocuf8Fqj0aC0tLTWkkihX+joTNXFm+IBgTwOcbw4/izcuvyIzeoy12XGYPyd0fUev8nuTe7ehFgGhy5/uuSJzcrKynDq1CkEBATwG93VhdhvXWb/Lrj0vikP/y+I5el6bmJ3RITCwkJYWlry9bPY/dtQV1hCu7ruhbxJjpi3ccNgvM8wRZfBYDD+Cwg7fKyzwmAw/iqs3mAwGIw3o3tNBIPBYDD+7XBKLgSKL4PBYPwZYiWX6jiPncFgMN5nmKLLYDAY/yWEs7psZobBYPxVWB3CYDAYdcMUXQaDwfgvIO6UstkYBoPxtnD1h7geYTAYDMb/hym6jPeONykUddm9zbIwsb34/q/wf/HL+NfxNs+hrrIhNhPev3z5ErNmzUJKSkqtDmtdssTocqPL7N/Jfzo8BuNfDfe+icuyLrM3mYsRuuGuxf91mb0tf8WvWq3GrVu3UFRUJLb6r8LFXaVSAdrdj+/cuYPc3Fyd7oT3YrO34X/rry7Esv7KM3kTb1tGuCMOX716JbYC/sSvLjMAePbsGZKTk6FWq8VWDMY7CVN0Ge8td+7cwcSJEzFw4EBMnDgRDx8+fE3Z2LBhA0aMGIGHDx9Co9FgypQpuHDhAi/j5cuXmD59On766SdeYamsrMTs2bORmpqK8vJyrFixAgMHDkR0dDSOHTvG+01LS8Mnn3yCgQMHYvTo0YiPj+ftIDiSoaCgAEuWLMHAgQMxdOhQnDp1infz+PFjfPzxx4iMjMSoUaNw/fp13i+XBuF1UVERZs6cic8++wzFxcW8nPcVIoJKpcKGDRswfPhwDB48GKNGjcL+/ftRWFhY6xvaly9fYvny5YiKisKgQYPwySefID09nV8yGBcXhxEjRuDy5cuAVnF9+fIlpkyZwp+Ny3Hnzh2sW7eO3+EzMzMTc+bMwdatW3l3ZWVl+OijjzBs2DBER0ejf//+2L17Ny9D3BmSSCTIzs7GmDFj8Mcff9Ryk5qainHjxmHo0KEYPHgwli5disTERL6MAYBCocDRo0d5N0OGDMH+/fuhVCoBANXV1fj888/x9ddf1wp748aN+P333/l7BuNdgnt3ioqKMGXKFL4uF7YFwjpU2D7s3LkT0dHRGDx4MKZOnYpr167VqneFx3VxSLRnrHMI7cT3wrDqstf1z11z96WlpejduzffPtQlV1gfAEBSUhJGjBiBgoIC3uzWrVv48ssveeWKkyX+vcmOs5dIJKipqcGQIUOwbt06VFVVYfDgwTh8+DCgPUO3oKCArxN1xVl4zT0nYTqEboRyOPOUlBSMGTMGe/fu5d2VlZVh3LhxSE5O5s2EaRIjTI84ncKwFAoF5s6diwEDBiA6OhrR0dEYPnw4tm3b9pq8utIhlJeXl4e+ffsiLi6OtxM/Q7E/sUxxHH/66SfMmjWLP2edwXjXYYou472CtJ2a0tJSfPTRR5BIJGjUqBH++OMPzJ49GwqFgu/kJCUlYdGiRdi5cyeuXr0KqVSKq1evYsOGDXxHJSEhAevWrcPFixf5MNLT07Fq1SpUVlZi8+bNOHbsGBo1aoSXL19i9OjRSEtLAwAsWLAAhYWFaNasGa5cuYLx48cjLy8P0DaY3Pl533//PU6ePAkfHx88f/4cI0aMQEJCAgBg+vTpKCwshK+vL65fv44PPvgARUVFtc4L5Bp3APjll1/wzTffYMWKFXjx4gVv/j7C5Y1Go8HJkydx584deHt7Q6VSYfr06YiKiuIV1FevXqFPnz7Yvn07PDw80KRJE1y5cgXh4eF4+PAhoB242LlzJ2bPno3CwkJA22HasWMHSktLa4W9bds2jBgxAl5eXjh+/Dg6d+6MlStX8h0WAKiqqsL27duhp6cHT09PuLm5wcLCgrfn4i7spGzfvh0///wzZs6cicrKSv7Z5+TkYNu2bdDX14ejoyMuXLiANm3a4Ndff+XlffPNNxg2bBjMzc3RuHFjSKVSjBgxAl9//TUAoLy8HKtXr8a8efPwxx9/8LIvXLhQK94MxruCsH48ceIENm3ahM8//xw1NTWAQDHS09Pj2wXuGgCuXbuGS5cuwcfHB6mpqejcuTMOHTpUyy0nR6JVgjQaDaRSaS1zTp4wTPG12Ez4X5c7oXleXh4/aCWMD/fj4iusTzIzM7Fz506Ul5fzcq5cuYL9+/ejoqKilixxeLrsdLnj6jdTU1OoVCrk5eWhrKwMAPDBBx9g9erVteSJ5ULwHLlnIzx7ViIaaBCaQ5vGn3/+GXPnzuXb5urqamzfvp2fWRaWE3GYQjPuWhxPYfgODg7w8vKCm5sbXF1dsX//fty7d4+3h6C8CdMhLkvQztTn5eXVKq/itIt/us7lFcqsqqpCUVGRzjxjMN5JiMF4j9BoNEREpFAoKDMzk9RqNRERzZo1izw8PCgrK4u3HzRoELVq1YqcnZ1p48aNRES0fv16AkD5+flERPTtt98SAPLy8qInT54QEdGGDRvI1dWVnj17Ri9evKDCwkIiIoqPjycAdOnSJSIiev78OdXU1BAR0d69e8nJyYnu3btHHFxcMzIyqKCggIiI7ty5QxKJhA4fPszbKRQKIiLasmUL2dvb0+3bt4mISK1Wk1qt5uU8fvyYGjRoQJMnTyYAlJSUpA3p/URYFnr16kWTJ0/m7e7cuUO2trY0Z84cIiJauXIl2dnZ1Xo+z549I19fX4qKiiIiop07dxIA0tPT48tLWloamZiYUEpKCu/v1atX5OjoSD/++CMREc2fP582bNhA3bt3p1GjRvHucnNzydbWlm7evMmbkSDe4v+qqirq06cPhYSEkLW1NV29epX3c+nSJZLL5RQXF0dERDU1NTRixAhydHSkFy9eUGZmJtnb29OSJUt4P0REX331FcnlcsrPz6eCggIyNjYmiURC3bt3p7KyMiIiGjRoEM2cObOWPwbjXYB7d4iIBgwYQEFBQeTj40Pbt2/nzdVqNd2+fZtWrFhBK1asoFWrVtHx48eJiGjChAkUFhZGpH2vAwICKCIigvebnJxMixcvpq+//pqSk5Nr1ekbNmyg5cuX0/3793n3GRkZtHHjRvrqq6/o4sWLRNo4Zmdn04EDB2jhwoX0ww8/0MuXL4m0bci+ffsoNTWVvvnmG75Ov3//Pi1btoy+/fZbevHiBRUXF5NcLqc9e/bQ0aNHacWKFfT06VM+XI1G89qPiOjYsWMEgDIyMni33333HTVr1oxevHhBKpWK7t+/Txs2bKAlS5bQiRMn+Dbt8uXLdPPmTbp+/TotXryYYmNjiYjo8OHDtHTpUkpNTeVl7t27ly5fvkyFhYVkZWVF69evp1u3blGDBg0oJCSEVq9ezdeDL1++pI0bN9LChQvp559/5uuhnJwc2rdvH6WkpNDKlStp06ZNfD6RII1iTp06RQBILpfT7NmziYgoPz+fZDIZxcTEEGn9njx5kr788kv67rvv+Pz44YcfatXPv/76K924cYNIW24OHTpEDx484GWIWbFiBTk7O/Nu8vPz6eeff6aFCxfSnj17qLKykoiIioqK6Pz587RkyRJau3Yt7z4jI4MMDAzo6NGjRET05MkT2rp1K82fP58OHz7M929u3bpF58+fp9jYWPryyy9pz549VF1dTaSN54ULF2jx4sW0a9cuGjduHLVv355KS0u1sWQw3m1eH9phMP7BSLSzYHK5HA0bNoSenh6Kiopw//59+Pj4wM7ODgBw8uRJXLp0CcuXL6+11Mff3x8SiYQfzT5z5gy6du2K7OxsZGVlAQCOHj2K4OBg1K9fH46OjrC2tga0I8AQjMw6OztDX18fSqUSsbGxaNCgAZydnfmwOFxcXGBjYwNoZQhHkl1cXCCXy1FVVYXbt2+jQYMGcHFxAUSj3wCwZMkStGzZEr179+ZlM/4HjUZTazlh8+bN0atXLxw7dgzPnz9HTEwMmjVrBn9/f/451q9fH506dUJaWhr/jZmzszM+/vhjLF68GBUVFfxIuXB0fO/evTAyMkKnTp0AAIsWLcLUqVNhYGDAu+Gorq7Gt99+ix07diA/P7+WHfdcOW7duoVz585hy5YtCAoKwrp163g7LnzuX19fH2PGjEF5eTnOnj2LxMRE5ObmYvDgwbwfAOjZsyeMjY1x8OBByOVyqFQqzJw5E9evX+eXUXOzUwzGu8r9+/dx69YtfPXVV/D29sbBgwd5u9OnTyMkJASZmZk4evQoFixYwNf/ELxTubm5yM3N5evf2NhY9OzZExkZGXj+/Dm6du2K9PR0EBGioqKwd+9e5OfnY8mSJaisrERSUhJ69uyJs2fPorCwEIMHD8alS5cgkUgwceJErFy5ElKpFPPnz8fHH38MALh48SI++OAD9O3bFzNmzEBcXBzOnz+PoKAg5ObmYvfu3Rg/fjyUSiWMjIywaNEibN68GQcPHkRoaCjfZkHHrKTwv6ioCPn5+Xj16hVKSkogkUhgYGCAy5cvo1OnTrh9+zaeP3+OsLAwXLlyBQCwePFiREVFYcqUKTh27BgiIyMRFRWFefPmYe/evWjbti2SkpJQVVWFr776CgcOHICBgQH09PQglUpx4sQJPHv2DLdv38aaNWuQn5+PkpISREREYPXq1SAifPLJJxg8eDDUajVu3ryJsWPHonPnznjx4gXmzZuHqVOn8u03125ybSgHEcHIyAiLFy/G999/j7S0NP6TEo7vv/8eQ4cORUlJCfbv348RI0ZArVYjLi4OH3/8MaqqqqBUKvHRRx/hp59+ArQz6NHR0bh16xYg6HtwYScmJmLOnDmYPn06fHx8UFxcjKioKHz11VfQ09PDrFmzsHHjRkCblyNHjkRFRQUOHz6MiIgIQNuXICLo6emhpqYGffr0wcmTJ1FUVISBAwdi+/btAID9+/cjMjISH374IcrKyjBkyBBs2bIFABAfH4+uXbviyZMn+OGHH/DTTz9BJpO91r4wGO8sYs2Xwfinw42snjlzhho1akSOjo5kZmbGj96Wl5dT27Ztac2aNZSVlUU2Njb0ww8/EGlHk5s1a0bz5s2jkpIS8vLyouPHj5O3tzd99tlnVFlZSQEBAbRq1apaYWk0Gurfvz85OTlRdnY2ERHdu3eP/P39yd3dnYyMjGjv3r28W/HIOvcfHR1NDRs25GeeExMTqVmzZuTi4kJyuZx27dpFQjh/MTEx5O3tTU+ePKGzZ88SAH5U+H1HqVRSaGgojR8/nkiQZ7///jsBoAsXLpCfnx999tlnvD3nZs2aNdSyZUuqrKyknTt3kqOjIz158oQ8PT1pyZIllJWVRaampvyMbnV1NYWGhlJ0dDQfPkdYWBiNHDmSvy8sLKTmzZuTr68vNWnShNzd3ennn38mIiKVSkVKpZIUCgU/av/BBx9Q9+7diYho7ty51LRpU8rJySHSPn+5XP7a7LCHhwetXLmSNm7cSM7OzpSbm1vL/vHjx+Tu7k7Lly+nkpISkkgkdOTIEfryyy+pfv36VF1dTUOGDGEzuox3mtWrV5OHhwcREW3fvp3q169Pjx49IiKijh070rBhw4i0s38eHh50584dIu07J5VKydvbm8zNzalv375UWlpKarWaQkND6cMPPyTSrrbo1KkTTZ8+na5fv052dnZ8fc/NnI0bN45atGhBSqWSiIgGDhxI/fr1IyKiFy9eUFVVFRERnT59moyMjCg9PZ32799PAGj+/PmUn59PRUVF5OfnR5MmTSLS1iE3btyg/Px8MjIyoj59+lBlZSU9ffqU9PX16cCBAyRGuAroxIkTBIDq169Prq6u5ObmRubm5uTv708vXrygiooKev78OZG2Ho2MjKQ2bdoQEVF4eDjZ2NjQnTt3qKSkhDw8PKhNmzb04sULev78OclkMtq1axcpFAry9fWlTz/9lMrKyvgZXSKiwMBAGjVqFBUVFRFpZ1AtLCz4+vTIkSNkbm5Oly9f5mdm165dS6SdjZbJZJSQkEAkqre5OpOI6OTJk6Svr0/Pnj2jkJAQGjVqFBUWFpJMJqMrV65QYWEhNW3alF+l8/TpU2rQoAHt3r2brl69SgAoJyeHzp07R4aGhmRjY0MVFRV08OBBat68Od/eC2d0VSoVdenShcLDw/mZ1f3795OxsTElJiYSEdHmzZvJ1taWioqKKC8vj18ZlpSURPXr16cffviBcnNzycDAgI4dO0akLSdc+RkxYgS1a9eOSNseGBkZ0fXr14mI6PPPP6dmzZoREVFkZCT17t2bVCoVVVVVUWhoKLVt25afKWcw3nXYjC7jvUI4G+rj44OFCxfim2++QdOmTTFmzBhkZ2dj8+bNyM/Px+jRo1FWVgaNRgOFQgEAsLe3h5+fH2JjY3Hx4kWYmZmhRYsW6N+/Py5fvoybN2+ivLwcffr0AQQj4jt27MC5c+ewadMmODk5AdoZwS+++ALLly9Hly5dMG3aNNy9e1fnSKpEIsHu3btx7NgxrFy5Eg0aNAAAODk5Yd68eVi1ahXCw8Mxbdo03L59u5a/yspKfPbZZ+jWrRvc3Nz4TSa4NDH+B26kncv/p0+fwt7eHqampoB2dlVMUVER1Go1P0uvUqng5uaGIUOGYPPmzXj48GGtmdqUlBScOnUKn3zyCSAIk4MLm4hgYWGBkydPIj4+HpcvX0bHjh0xbdo03LhxA9OmTcPAgQMRGRmJLVu2gIhw4sQJ2Nvb4+rVq3B3d8fDhw/52RUOYXgvXrxAVVUVjI2NoaenV6s8cO4qKipQXl7Op4G0m3cNGzYMKpUKq1at0vnNF4PxrqBSqbB//340bNgQFy9ehImJCb+KAwDc3NyQmZmJx48fIyYmBhqNBlZWVrxfHx8fzJ8/Hy4uLpBIJDAzM0NZWRliY2MRFxeH6OhojBw5Es+ePcP9+/cRFBSEVq1aYebMmZgyZQpycnKgUCjw/PlzZGVl8ZvixcXF8TPHarUay5YtQ2RkJFavXg2lUgmVSgWVSgV3d3dMmDABtra2kEgkePr0KZo1awYAsLa2Rps2bSCTyaBUKjFu3DgYGRnBxMQEcrmc/2YX2ndbXB9xzJ49GytXrsSqVavQr18/QLsKxtjYGGlpaRg3bhyioqIQHx/Px5mbYWzevDnMzc3RsmVLjBgxAo6OjrCysoKhoSFevXoFtVrNz7RCWwdy1/r6+rC0tOTz+9SpU+jduze8vb0BAMHBwfD09MT58+dBRHB0dET37t0BAPXq1ePzSIw4PJVKBWtra0yZMgWHDx/GuXPnoK+vD7lcjqSkJOTk5ODo0aMYNGgQZs2ahezsbKSnp8PDwwPOzs44d+4czpw5A09PT7i6uiI7Oxv79+9H/fr14eTkxIfF/W/btg1JSUlYuHAhX7fGxMRAJpNh4cKFGDx4MHbt2oXy8nKUl5fDzMwMe/bsQXR0NGbNmoXCwkKUl5fz7QU3a52SkoLx48fzqwH09fUBbTkNCgpC69atAQCOjo58fZ+amoqGDRtCKpXC0NAQzZs3f2NZYDDeNVgPhfHewVXizs7O/I6ZO3bswNOnT3Hx4kWkp6ejqKgI3bt3R2RkJMrKyrBo0SL8/PPPAIA2bdogOzsbGzZsgIuLCxwcHODv74/Hjx/j+PHjsLKygoeHB99Q7N+/H7Nnz8aaNWv4JUdEBBsbGwwaNAhRUVHYtGkTcnNzcfToUUDHstTDhw9jypQpWL58ea3lpdbW1vwuwNu3b0dlZSXOnj1by29JSQkePXqEixcvokWLFpg+fToAYPLkyUhKSqrl9n1C3PkQK2xnz55F586d0bJlS/j4+CA2NpbvlEm0O6feuHEDtra2MDAwAAk2t5oxYwbq1auHRYsW1eo0HDlyBE2bNoWXl1etsKDjmUulUtjb28PQ0BC2traYNGkSSktLIZVKERUVhQEDBmDQoEHo27cvLl26hFevXuHhw4dYsGAB9uzZA1tbW5w8ebKWTGEYFy9eRFVVFQICAtC4cWPk5+fj0aNHtdynpKSgrKyMV2yhPQLE09MTn3/+OTZv3owHDx5ALpfX8sdgvCtkZGTgwYMHyM3NxaJFi7Bp0yY4OzvzG7VZWloiMzMTs2fPxtWrV7F8+XK4uroCWgW0QYMGGD58OJYuXYpTp07h0qVLkMvlUKvV8Pf3R//+/dGvXz8sXboU3377LQBg9+7d2LhxI5KSktC/f3+8fPkS0G5UFBUVhX79+mHFihVYtmwZqqqq0KdPH8TFxWHIkCEIDQ3l6yAAkMvlr332IFZSNNrdn7l3WGwPbd0gEW1WxLmLjIzEoEGDEBkZicDAQBARjI2NcfToUfTv3x+Ojo4YPnw4vLy8atWrYiWTU6w5N1yYwvgIr8V1IrSb4nGfmXAKv6WlJUi0O7ZwyTJEsri6WnitUCgwfPhwdO7cGZ9//jkfV27zsODgYERGRqJ///44cOAAxo4dCwcHB4SFhWH79u1IS0vDrFmzUL9+fXz66afIyclB165d+TChjUNKSgrmzZuHOXPmoHXr1rXSa2BggLCwMPTv3x+TJ0/G4cOH0aBBA0ybNg1r165Fly5dEBERAVNT09f8JSQkYMyYMbC0tMSIESPQqFEjPv/19PSgVqv5PFGpVLXyQ3gt/OSGwfgnwBRdxnsF16jl5+dj69atqKysBLQ7bkI7yzpnzhwcPHgQGzZswJdffglDQ0MMHz4cvXr1AgCMGzcOhYWFOHfuHAIDAwGt8mttbY1vv/0W4eHhkEqlkEgkOHjwICZOnIi5c+dizJgxqKmpgUKhQFFRETZt2sQf0cCNSHMdqLVr1/I72x48eBDjxo3D4sWLMWnSJF5GeXk5Nm3axB8TdP78eVRVVaFhw4YAgFWrVuGPP/6Ao6Mjjh07hi1btuD777/H5MmTAQCffPIJPDw88L7DdZAUCgXUajWys7MxYcIEJCYmYuTIkdDT00NkZCQePnyIlStXQqlUgoiwePFixMTEYNSoUbwctVoNtVoNKysrTJ8+HbGxsaipqeE7Gr/88guGDh0KKysrvqOiVCpRU1PD/3Oyrly5ghs3boCIoFAosGzZMvj7+8PNzQ0dO3bEyJEj+RmSn376CW5uboiJicGxY8dw+vRpzJ8/H/v370dBQQFkMhlUKhU/K71z50589dVX6N+/P9q2bQs/Pz+0bNkSH3zwAVJTUyGRSHDv3j3MnTsXISEhqFevXq1vmAFgxIgRqFevHhISEliniPHOsnLlSjg7O+PkyZM4deoUzp8/j8WLF+PevXt4+vQpnjx5Ag8PDwQFBaFHjx5o1apVLf/ce9G9e3cEBARgzZo1MDY2RkBAADIzMxEZGYmhQ4eiY8eOMDIywqNHj/hvTZcsWYKHDx9CqVTCwcEBCoUCnTt3RnR0NHr37o3i4mJUVFTg7t27mDZtGgYNGoSSkpJaSphwDwkTExO4u7vj3LlzqKmpQU5ODt/OcYN00NYvQkXpm2++wb59+/h78fssXM2iVCqh0Wigp6eH3NxcSCQSLFmyBG3btkV2djYvV/wvVHolgiOWuLhw6RAqZDKZDImJifyu9W3btsWZM2f4b4vPnTuHp0+fomfPnrw/YbqgHTBUKBRYuHAhrl27BmgVPy4MLi5cfD7++GPk5uZCqVRCrVbD09MT+vr6kEgkGDJkCIYOHYqAgAC+7+Di4oJLly7h4sWL6NChA4KDg3H69Gmkp6cjKipKEJP/4YsvvoCbmxtGjBiBmpoaVFdXg4jQqlUr5Ofno1WrVhgyZAiio6Nhbm4OaM+2bdeuHSZMmAA7OzsUFRXxz0ij3XPkyJEjUCgU+Pzzz9G+fftaZyZrRHtQcGbQ9nliY2NRXFyMxMREHD9+HJI6dqpmMN5FmKLLeK/gGgeVSoUtW7bA29sb1tbWWLx4MZYvX45OnTqhYcOGaNeuHYKDgxESEgJbW1s0b94c9vb2gHb01NvbGxYWFvyGQu7u7mjWrBmUSiXCwsIA7dKtffv2QS6XY9euXQgKCkLLli3x0UcfQS6XY8+ePWjWrBmsra3xySef4IMPPsCwYcOQlZWF9evX4+bNmwCAffv2QSaTYefOnfyyt9GjRwMADh48iKZNm8LW1hbjxo3DtGnTMHToUOTk5GDLli38mb8hISFo164dv3zJyMgIrVq1gpGREd539PT04OzsjJiYGLRp0wZhYWGIjY3Fli1b+MGNgQMHYsyYMVi3bh3s7OxgaWmJnTt3Yv369Rg+fDig7ThYWlrycocPH47evXvDzs4ORkZGuHnzJhQKBYKCggDBbMaKFSvQvHlzpKen49atW/D398e2bdvw5MkTDBs2DA4ODnB1dUVaWhrmzp0LW1vbWh3VoqIiPHr0CIMHD4aZmRmMjIwglUrRunVrGBoaIiYmBsbGxnBycsLUqVPRqlUrfPnllwgPD8f69esB7cqAxYsXA9rlgBYWFujZsydatmyJHTt28O+NmZkZP3traWmJWbNmwcLCgu+QMRjvGi9evODrfW5mtG3btnBwcMCePXsQHh6Ox48f4+rVq7h+/Tratm3LH3ljYmLCbzZoaGiIAQMG4MGDB8jMzMRPP/2EgoIC2Nvbw8HBAT169MD9+/dRVlaGgQMHwtraGoMHD8bIkSPh7OyMDRs2wMvLC97e3rCzs0OzZs34FSMffvghhg8fDk9PTxw+fBh2dnaQyWQwMTGBmZkZPwsrl8vx9ddfIzk5Gfb29mjdujViY2Mhl8vh4ODAv7tSqRTW1tb80tbNmzfXOiKPq1sMDAxgbm5ea3MmY2Nj6OvrQ61Wo23btnB1dYWlpSW6d++OkpISODg4ANr6wcjIiK87TE1Nax2rZG9vz288ZWJiAgsLC+jp6cHKyop/DrNnz8adO3fg5OSEzZs3Y+bMmRg5ciS6dOkCGxsbLFiwAGvXrkWTJk0gkUhgbm7Op0kikcDKygrGxsYoKCjA5s2b+Y2hNNoZbmgVa3Nzcz5vOnbsiBEjRvBHudWvXx8bN27Ejh07+A0mR44cySvfkydPhqurK/z8/ODs7Izu3bvD0NCQf45cXCQSCfLy8pCdnY2CggKEhYUhODgYQUFBGDhwICIiIjBv3jz07dsXdnZ2cHd3x/r160FE6NevH06ePAkHBwcsWbIExsbGsLCwgEQigbW1NVTaI/GaNm2Kxo0bIyQkBC9fvkS9evUAbdnk8hfa58ptcLl06VK8fPkS9evXR79+/dClSxeYmZmxTQYZ/xgkxIZtGO8RJFiy9PLlS8THx6OoqAhNmzZ9baQe2u9Yb926BXd3dzg4OPD+c3Jy8OTJEwQHB/ONx6NHj5CXl8crGNCGkZOTw7tRq9UwMzODl5cXioqKEBcXh9zcXHh4eKBNmzZ8Y3vp0iU0bNgQbm5uyMvL48+85UZhjYyM0KRJExQXF+PGjRvIy8uDm5sb2rVrx4d1/fp1ODo6wtXVle+4SCQSFBYW4tGjR2jVqhXfKXgf4ZRFiUSCrKwsvHr1ir9v2LAhP+vKlReVSoWEhAQ8evQIGo0GISEhcHd35+U9efIEL1++REhISC25JSUl8PHxwYwZM3Dt2jW+s8W5yczMRGFhId+ZVKlUsLOzg7OzM+7cuYPU1FQYGxujTZs2fCdS+DxVKhVu3rwJDw+PWmVUo9Hg1q1baNiwIczNzZGeng61Wg0igrm5OT+bL0xjXl4e4uPjUVBQAFdXV7Rr1w5SqRREBKVSievXr/ODM9DO9KSnp8PGxoaPG4PxLhEbGwsnJ6fX6snExESUlJRgzJgxGDVqFObNmwcA6NChA1xdXfHLL78gPT0dGo2G/xQhLy8PN27cQPv27WFlZYWMjAzExcVBrVbDz8+PP586MTERd+7cgYODA4KCgnilqrKyEhcuXEBRURH//unp6aGiogJnz56FTCZDmzZtkJGRgYCAAJSXlyM9PR0BAQH8KiIAyMrKwpUrV+Dg4IA2bdrA0NAQd+7cgZeXF6ysrKBSqXDv3j24u7tDpVKha9eumD9//mszkK9evUJKSgqaN2/OK5+5ublIT09HYGAgZDIZ0tPTcfXqVTRt2hTm5uZQab9bTk5OhkQiQePGjQHtZxAGBgZwc3ODRqPBvXv3YGdnh/r16+PWrVtwcHCAs7Mz4uLi0LBhQzg6OoKIEBcXhydPnqBTp05wdHTkZ7ifPn2K5s2bw8fHB3p6eigsLERqaipatmwJfX19lJaWIikpCSEhIdizZw/mz5/Pn2kvfM45OTl49OgR2rdvzyt3+fn5eP78OTw9PWFmZgaNRoPU1FR+9Urz5s35ZdoSiQS3b9+GVCpFQEAAiAjXrl2Dk5MT3N3da4VVU1ODjIwMfhaXszMwMICXlxekUini4+ORkpICe3t7hISEwNzcHESEq1evIjMzE23btkVeXh7c3d1hZWWF27dvw9vbG1ZWVsjNzcWFCxfg7u4Oa2trqNVqNG7cGJmZmSgrK4Ovry+gHdwpLCzkv+VOSkriz5Fv1KgRMjMz+RMmGIx3HaboMhgMxr+Z0tJSjB07FpGRkYiOjq6lXDIYjL8PwnezuLgYoaGhqKioQJcuXVBdXY0TJ05g/vz5mDRpkk4/7xrbt2/H9evX+eNm/mmo1WrMnDmT3wzrXX5WDAbjr8MUXQaDwfg3o9FokJubC1tbW37mlnW2GIy/H8IukUQiwcOHD3H69GlUV1dDo9GgZcuW6NGjR61Nm95FOIWvtLQUEu1u0f9E1Go1CgsLYWVlBblczhRdBuM9gym6DAaD8W9E3LHSaDdyYTAYfz+495X7TETXuypcjvquIlboxfXUPwVhuv4Jz43BYPw1Xq/BGQwGg/EvQ9jJIiLo6enV6mQyGIy/H5J/+BErwvQJN2f6J6LR7sb8T1XmGQxG3TBFl8FgMP7NcLND3DXrbDEYf39IdDYrZ/ZPGagSpuWfkiZdcEo9q3cZjPcPpugy3lv+rGF/k71QcYHArbDjUFcHSTi6zLkTyxD7ESMOj5NRV7wYryPOb13/4vzjzMRuhXZic2iXP3KdrLqWQuqSJZbD8TbmdbnBn7irKw3COAnL9pviyWC8awiX8UokEv59FZZxzk5cxwsRv0fCel78zuiSITbT9b7pCl88qIY63nfuX6wEcjLFbQne8K7rMoOOcMVpENvX5VaX+duYic05xOZC9381XKF7XX45xGZimbqu3ySzLnMhnJ3wWepyX1c4usyE6LLnZOkye5NbXf7E7hiM/w2v97gYjH8wwgqTa9h1VaBiM3FFK1RWhBW0sMMg7iAJO07cNedH2CHh/HN+hDKE5kK5XFi6whTHnfE/cHn7pn9hPgufr9CNMH/F7jnEz6CsrAw7d+5EVlYW70/4rMXhCNG8YUZYKIND17MX+peIOuzCtKGO8i0sZ3XFk8F4VxG/x+LyzdkL2wFdygT33nDvrPhd4hBec/ZiObrebaE/7h0Wv5tie3FY4vec8y/2K3TPpUmYFu5a+BP7F8oQp0eY50I7oWwhwrCFcdKFRCJBWVkZnj9/zt+L7YU/jrrCEJpz7oR+hH51xUvsXuxHoq2TxfEUoitsIUKZwnL6Jn91xQOiQRWhPXctTAcEz5Nzpytfhfe6qMs/g/FXYJtRMd4rhJVzYmIiVCoVWrRogerqav7s2iZNmvDuLl++jIYNG8LV1RWPHj1CWloaFAoFTExM0KhRI7i4uPBy9bRn+XHn0bm4uPBynj59ipSUFCgUCr5S9/Hxgbe3N1+Zc41RWloaHjx4ALVaDScnJwQHBwMAnj9/jsTERFRWVqJhw4Zo3rw5ZDIZUlNT8fjxYygUCkgkEshkMnTv3h36+vp8+AzdcHmfmJiIrKwsqNVqGBsbw8vLCw0bNuTPkJVIJFCr1bh79y4yMzMBAHZ2dmjZsiWMjY0B7fmSd+/ehZ+fH5ycnAAA5eXluHHjBoKCgmBqasrLio+PR3BwMK5cuYLg4GDU1NQgPj4eFhYW/NmGCoUCV65cQWVlJUh7jm2jRo34sxB1UV1djZiYGHh5ecHDwwMa7cZXRUVFuHXrFiorKyGVSuHk5ARvb2+YmZnx5VGiPff3/v37UCgUkMvl8PPz48u4UqnEzZs3YWRkhJYtW/Ky7927ByMjIzRq1EgUGwbj701BQQFiY2Oh0Wggl8shl8tRXV0NpVKJtm3bwsHBoZbCIe6sc20JZ75161YcP34cGzduhJOTE/9uif2I6+QHDx5g+/btmDdvHiwtLXUqOeKwObPHjx9j0KBBOHToEFxcXPj3EgDu3LkDAGjRogUfdkZGBrKzsxESEsLLFIcnkUiQlJSE3377DXPmzOHPchXac3WnMA90pU/oj7TtnDCO165dw+nTp/HZZ5/B2NgYSqWSP09e7J8Lg7vm7CXa+pkbRObgwomJicGsWbNQVVWFLVu28GedA0BqaiqePHkClUoFPT09uLu7w8PDo9YZ8296juL0ceGL80VsxrkXwuWP2BxavxUVFRg1ahR69+6N0aNHg0R9ByGcHQBcvXoVJSUlICLIZDL4+/vD0dGx1rMSx1VXWsTXdSF2I3wmEIUlLAsSiQS5ubkICwvDzz//jGbNmvHpEMaVwfhLEIPxHqHRaPhfdHQ0hYaGEhHR06dPCQA1aNCAsrKyePfu7u60YsUKIiKaPn06mZub06hRo8jX15dMTU3p5MmTvFwiopUrVxIAGjNmDC+DiGjVqlVkampK0dHRNHjwYBo0aBAdOXKE98v537dvH9WrV486d+5MI0aMoLZt25JaraaXL1+Sq6srtWrViqKjo8na2pp+++03Im287OzsaOTIkRQVFUUjR46koqKi12QzdKNQKCgsLIwaNGhAY8aMITs7O5JKpTR37lzejUqloqlTp5Kenh716dOHRo4cSVKplPr160eVlZVERLRr1y4CQP369aPq6moiInr06BEZGxvTw4cPiQTlZOHChRQSEkI1NTWUlJREkZGRBIAmTpzIh5mbm0umpqYUGhpKw4cPp/79+9Ovv/7K2+vixx9/JADUtm1bqqmp4c0vXrxIACgsLIzatm1LACgwMJAyMzN5NydOnCA7Oztq0aIFjRkzhho0aEB2dnZ08+ZNIiLKy8sjfX19MjY2pmvXrvH+Bg4cSDNnzuTvGYx3hYcPH9LQoUNp6NCh1Lx5c7KwsKC+fftSZGQk3bp1S+ycp6469csvvyQ3NzdKT0+vZV6Xe45z584RAEpOThZbEf2J/3v37hEASk1NFVvRoEGDKDIyspbZwoULqUWLFrXMdMk/evQoOTk50eXLl3k34vZEfF+Xuzfxyy+/kLm5OT1//pwKCwtp8ODBlJGRUcuNLplvK1+tVtPQoUMpODiYLl26RDk5ObXsp0+fTnK5nIYMGUJubm4kkUj4elgcphC1Wi02ItL6qctObP4m+brMS0tLycvLi5YsWSK2qpPq6mpydnam5s2b05AhQ8jGxoYsLCzo22+/5d3oCkutVus0pzrcc4jt/qqcjIwMAlCrjaE63DIYbwNTdBnvFcLKctiwYdS7d28iraIrlUoJAH322We8Gy8vL1q1ahUREX388ccUGBhIRET5+fnUtm1bCgoK4hWd0tJSatasGUVERJCtrS09ePCAl7NixQry8fEhlUrFN27cNUdWVhZ5e3vTqFGjSKFQEBFRdnY2kTZsHx8fXjEZMmQIeXh4UHV1NU2fPp2ioqJ4OcKGhTUOf45CoaDQ0FAaP348ERE9e/aM1q1bR3K5nH/2W7duJQsLC/r55595fwcPHiQrKytaunQpERHt3LmTAJCenh4dOnSIiIhSU1PJ1NS0Vge2urqaGjRowMv+9NNPaciQIdSpUycaPXo07y43N5dsbGzo+vXrRILnKu4scahUKurfvz85OjqSqakp3bt3j7eLiYkhmUxG8fHxVF1dTdeuXaPGjRvzCnFubi41adKEevXqRWVlZURE9Pz5c+rZsye5ubmRQqGg/Px8MjExIQA0dOhQXnZUVBRTdBnvJFw9TES0fv168vPz4+tcjvz8fLp58ybduXOHysvLeX8ajYbS09MpNjaWHj9+TERES5YsoUaNGlFiYiLduXOHUlJS+Pf11atXlJqaSpWVlbwdF3ZeXh798ssvVFFRQaStkxITE+n69euUm5vLx+Xp06cUGxtLSUlJfBuRmJj4RkV30KBBRIK2YOHChdS6dWsiIiovL6f09HQqKSmhW7du0cOHD0mpVBJp43v8+HEqKCig+/fv84OnpM2TBw8e8DIfP35MV69epeTk5FrpTU9Pp6KiIoqPj6fKykpSKpV0//59unHjBi8vOzub9u/fT1VVVXT+/HkCQDt37qSsrCxKT0+ntLQ0XqZSqaSHDx/ydZS4nXvy5Aldv36dEhIS+MHGO3fukI+PD02YMIGePHnC5xvH9OnTydPTkyoqKigvL49+++03Mjc3p+nTp/NuKisr6d69e3Tz5k169uwZb56RkUEvX76knJwcun79ei0lOisri7KzsykvL4+uX79O+fn5vJ+bN2/y96RtE5KTk+n69eu1nkFxcTFlZGRQcXEx3bt3j168eEGNGzemZcuW8f5u377N90F0UVNTQw4ODvT1118Tadu3xYsXk0wmqzVwmp+fTzdu3KD4+Hi+nKvVakpOTqbS0lJKTU2lmzdvUmlpKW/3+PFjKi8vp+TkZIqLi+Of8b179+jevXu14lVWVkZxcXF048YNevHiBW+emZlJL168oIyMDEpNTeUnHbh2Lycnh1JTU1lfhvG/him6jPeW4cOHU3h4OJFgFHHIkCFkbW1Nd+/eJSIiT09PWrlyJRERTZs2je8gEBH169eP2rVrxzdK9+7dI0dHRzp58iRZW1vT0aNHebdff/01+fr68ve6OHz4MFlaWlJWVhalpqbW6nC1aNGCPv30U/7+1KlTBIDy8vLo008/pW7dutHTp0/5uJBg9JhTjlhDoRtO0Z0wYUIt8549e1JoaCiVlZXRwIEDqVWrVrXsSavkcWVi586dZG1tTX369CFfX1++IyBWdH/99Vdq2LAhJSQkEAkGMyIiImjUqFG8u5ycHLK2tqZdu3bV6hSRaACDu05JSSFPT086d+4cBQUF0ezZs3k3MTExJJfLKS4ujjfbuXMn6evr04EDB+js2bMEgG7fvs3bExGdP3+eDAwM6NSpU1RUVEQGBgY0fPhw0tPT41ckDBo0iCm6jHcS4Xu0fv168vf3r1XvPnjwgNq3b09OTk7k7u5Ow4YNo5KSEiIiWr16NdnZ2ZGjoyN5eXnR6dOnaeXKleTk5ESdO3cmNzc3sra2pi1bthAR0bZt28je3p6GDBlCzs7OZGNjQ2vXriUi4t+/nJwcUigUNG7cOHJxcSFra2tq1aoV5efn08qVK8nHx4eXO2vWLCIiun//fi1FV5gmoaLLsWDBAr4u++OPP6h+/frUs2dP8vDwIFNTU9q0aRORtn5o0qQJXb9+vZY5EdEHH3xAbdu2JSKin3/+mRo2bEgNGzYkFxcX+u6773j/Li4u1KVLFwJAhw8fpm+++YYcHBzIxcWFhg0bRgqFgrZt20Z2dnZ0/fp1ql+/PgEgANSrVy/65JNPyN7enp4/f06kVeqFg8jCtO7evZscHBzI3t6erK2t+UHDPn368DJNTU3p6dOnvB/SDiJ7e3vzgwxERGPHjiVnZ2d68uQJqVQqmjBhAllYWFCDBg3I09OT7x90796dunfvTh07diQ7Oztq3LgxvxIgMjKSfHx8qEePHmRlZUXdunWjzZs3k4uLC8nlcgoNDSWlUkkVFRX04YcfkpeXF3l6epKFhQVfZtatW0f+/v4UGhpKAGjbtm3UvHlzXmmdNm0aNWrU6LVZamG+1NTUkL29Pa8ck7bN8/f3pwEDBhARUVpaGnXo0IHq1atHLi4uFBERQSUlJVRRUUEeHh7UrVs3atGiBRkbG9PAgQOpsLCQXr58Sa1ataLQ0FBq0qQJSaVSmjp1Ks2dO5csLS0JAM2ZM4dI27/q0qULeXl5kZ2dHTVp0oTi4+OJtPnk7+9Pnp6eZG1tTSdOnCCpVEq3bt2i3NxcatWqFU2ZMoWPO4PxV3l9YT+D8R4zevRoNGnSBOvWrQMAyGQy3k4ulyMtLQ0fffQRBg4ciISEBMycOZN38+2338LPzw8dO3ZEly5dsGHDBt6vgYEBUlJS0KRJE3h7e2PIkCGoqqri7QHg6dOnqKioQFhYGIYMGYKQkBAsWbIEz58/R0FBAf8tKADY29vz3/IYGBjg+vXr6NWrF5o0aYJly5aBBN9CQfvtC/u+pTbCb46E99z/0KFDceXKFdy/fx/p6elo3779a379/f2hUqn4Z2lsbIy5c+eisLAQv/76KwwMDPjviziOHz8OX19f+Pn5gYj473nVanWt75q474MXLlyIoKAgtGvXDg8ePABE3zxx18ePH4eenh46deoEb29vXLt2DTU1Nbwb7lsnjsGDB6Nhw4bIyMhAeno67O3t4ezsDAjS5+joiHr16uH27duQy+VQKBTo3bs3oqOj8eWXXwLaDdCEchmMdwXheyR+PyoqKvDhhx/C3d0dGRkZOHHiBE6fPo2jR48iIyMDS5YswZQpU/Dw4UOsX78earUaMpkML168QKNGjXD79m2MGTMGX331FV6+fAmFQoHc3FyYm5vj/v37GDNmDFavXo28vDyoVCpA205s27YNx48fx08//YSUlBS+rfDw8MDu3bvx+PFjLFu2DL/99huys7MhlUr5OHMINz8Sf78pTHNJSQmeP38OBwcH3L59GzNnzsSMGTNQUFCAV69eoaamBvb29ujVqxf27NkDtVqNiooKHDt2DGPGjEFsbCxmz56N1atXIzMzE9OnT8fq1atRVlYGjUaDzMxMeHl5ISUlBWZmZli+fDkWLlyI5ORkzJkzB3K5HGVlZaisrESTJk3wyy+/QCKRYPfu3di2bRtGjRqF3NxcZGRkAACuXLkCJycn1K9fX5Ci//kGderUqfjss8+QnJyMHTt24ODBg/juu+/www8/oGnTppgwYQJu3rzJ17ccEh27Z8+cORP5+fnIz8/H5s2bcebMGcTFxSEtLQ3BwcGYP38+AODVq1e4du0aJk2ahHv37kEul2Pr1q2Ado+FR48eYcyYMYiJicGTJ0+wfPlybN68GSdPnsS9e/ewd+9eGBoaon379jh69CiSk5MxY8YMrFmzBhqNBmVlZUhISED9+vVx9+5ddO7cmd/n47PPPsORI0ewa9cuODg4ADrKMGcm/Ie2LxMaGoqcnBzk5ORgxowZcHZ2xvPnz3H27FkkJCTgwIEDgHaficzMTPz888+4dOkSDh06hIsXL0KtVqOwsBBpaWnYtWsXNm/ejC1btuDRo0eIj4/H3LlzsWfPHhQUFEAul2P8+PG4desWHjx4AJlMhj/++APQ7v2QkJCA2bNn48qVK/zeJhkZGRgyZAhsbW2xfPlyPu4Mxl+FKboMhgB7e3tMnDgRx44dw/3791/b3EIul8Pc3Bw3b96Ej48PIiIiAG1lnZiYCD8/PxgZGSE0NBR3797Fs2fPAK0SY2FhgX79+iEyMhLt27d/TfEsLy+HXC7HqFGjsHPnTkRGRmLNmjU4cuTIa5uFcA2aQqFAdHQ0du/ejc2bN2PgwIFYtGgRtmzZAjAF963gOgDiDqFKpUJFRQWUSiU0Gg3Mzc1591yeyuXyWhtpKBQKBAUFoX379ti0aRNevHhRa7AkOTkZf/zxByZPngyIOqTiZ2VmZoYff/wRv/zyC5YuXQqFQoHBgwfj0aNHWL16NebMmYOZM2di//79AIC9e/eiR48ekEqlmDp1KhISEhAbG8uHwym7HBqNhk+bWq2GkZFRrU1goB3okclkvNJNRDA0NMSkSZPw5MkTHDx4EAYGBqyMMf5x5OXl4eLFi1CpVFi6dCl27twJGxsbXLx4EWfOnIGNjQ3GjRsHS0tL9OrVC7169eI3CpwxYwasrKzQokULlJWVoby8HABga2uLr776CtbW1nBzcwMAVFZW1np/zp07B29vb3Tt2hX16tXDzJkz0aBBA/Tt2xc5OTlYvnw5YmJiUF1djWfPntWqX3QhVnwgUHYlEgn09fUxe/ZsWFhYICgoCJWVlaipqeHrNblcjtGjR+PKlSt4+fIlYmJiIJFI0L17d6SkpKC4uBhJSUlYuHAh7t69i4KCApw4cQL6+vowNTXFvHnz0KhRI/j7+8PFxQUbNmzAvn370LRp01pxMTY2hqenJyQSCRo3bgwHBwf4+vqiX79+WLlyJQBgw4YNCA8P5+tizu+zZ89QVVWFSZMmwcrKCr1794avry8SExNRr149mJubo379+vDx8YFcLn9jvQutkqpUKlFaWoobN27A3Nwcu3btwooVK5Ceno6kpCRUVFRAoVBg5MiRiI6OhqOjIzw8PFBSUgIAqKqqQq9evTBkyBD4+fnB3t4eAwcORM+ePdG1a1dYWVkhMTERenp6iIyMxKNHj7Bo0SI8fPgQeXl5UCgU/IaU06dPR0BAAGxtbSGTyfDjjz/ip59+wu7du9GyZUv+GQufKwd3LS4HSqUSCoUCL1++xPnz52FoaIivv/4av/76KwwNDbFx40bo6elBrVZjzpw5aNasGXx9faGnp4eamho+38aNG4fmzZsjLCwMLVu2xJw5c+Dp6YmoqCjo6ekhPj4eTk5OaN++PX777Td88803KC0tRX5+PgCgpqYGPXv2xIQJE+Dj48M/2w8++ABqtRq//fYbLCwsXos/g/G2MEWXwRA0AlVVVRg5ciSCgoKwatUqfidjaBUfNzc3LF26FN999x1OnTrFj0oePnwY8fHx+O233+Dn54elS5ciLy8PP//8M6BVKpycnLB8+XIsX74cU6dO5Wf7OExMTGBhYYFp06ahSZMmmDdvHhwcHFBSUoL69evXmgGuqKiARLvTZNOmTdGnTx906NABS5cuRatWrXDixAlAMJPHqBtxJ4e7P378OPr06QMfHx+Ympri+vXrr7mPi4uDsbExjIyM+BlZjUaDVatWITs7G4cOHarVEc3MzIRUKkXz5s0BHcq1EENDQ0RGRiI4OBiDBw/GmjVr8ODBAxQXFyMvLw9nzpxBTEwM6tWrh+TkZDx8+BAHDhyAv78/xo4di/Lychw+fBgQhCMM7/z58ygrK0Pjxo1haWmJjIwMFBcXA4I0ZmZmoqCgAEOGDOE7NzU1NWjfvj3Gjh2L5cuXIysr6zUFmcF41+GUoXv37uHMmTM4d+4crKysMGTIEKhUKhgYGMDExETsDfr6+vw7r1KpailSEomk1gysuH7mrnXN0k6cOBEfffQRPxtIRJBKpVCr1bXcSeo4+5fDwMCglh/hYC43s0yCnXxVKhXatWsHf39/rF+/Hrt370br1q3RsGFDqNVqKJVKXLhwAWfOnEFKSgpCQ0PRq1cvVFVVwcLCAgYGBgAAa2trHDp0CAEBAfjiiy/QrVs3FBYW8itCuB8XPrQDbb169cL9+/exefNmVFVVoUePHrwbcfqEdbOJiQlevXrFt5VvmuWGyO8vv/wCT09PuLm5QalUIjs7G2fPnsXx48ehVCoxYMAAmJiYgIhqlQHhgLTwOUAbpng3ablcjqqqKoSFhWHx4sU4f/487t27x5cftVoNZ2dnfhaaa19atWoFY2NjJCQk8PI4uDL1Z8r8tWvX4OnpCXt7e6hUKty5cwenT5/G6dOnYWtri7lz5/LlQVxmhYO7nJ1MJoNcLuefN5cXhoaGuH37Nlq3bo3t27fjwoULKCgo4GVoNBpYWlry8rnds1u0aIH09PRaR/AxGP8bXn/bGYz3GK7hnDNnDvbt24fHjx/XquS5xqNXr15o06YNvv/+eyiVSuzfvx9NmjTBpk2bsGTJEmzatAk+Pj6IiYkBtA2FWq3m/ZOO4wl8fHxQWlrKz8LdvXsXr169Qps2bWBra4u4uDhUVFQAAPbv3w9/f3++MefkJicnIy0tTedRL+JOwfsO13ByHSau86dWq3HkyBHExMSgXbt2qFevHiIiIhAfH88/GwC4dOkSLly4gA4dOvByJNrBh4YNG+KDDz7A8uXLoVQqeT9Lly7FuHHjXlt6B9E5hQBQWlrKP28AOHLkCMzMzGBra4uVK1fi7t27uH37Njp27Ijvv/8e1tbW2LhxI5YsWYJVq1ZhwoQJ2L9/Pz9YI+wY5uTk4Ntvv4WjoyM6deqEkJAQ2NnZYf369Xx4VVVV+OGHH2Bqaqpzadz06dPx+PFjXL16lXVCGP84jIyMYGZmhvHjxyM2NhbXr1/HlStX0K1bNzg7O+PFixd8fVBYWIiUlJRaSpsQieisdO5f2A5w7urVq4fc3FwUFhYC2tnKO3fu4ObNm5gyZQquXr2KhQsX8nWWWGkThi2TyXD//n28fPkSAFBUVIS9e/fys8nieHJw9Ri09aG5uTm8vb2xb98+3L9/H/379we0ypuRkRF+/PFHXL9+HTdu3MCvv/4Kc3Nzvj7j0l1dXQ0rKyvs3LkTBw8exMWLFxEXFwdDQ8NaeaHRaGopaePHj4epqSnmz58PZ2dn/hMSYdspk8mgVCqRmpoKACguLsaTJ0/QpEkTmJqaQqlU1plW8fO6efMm/vjjD7Rr1w4eHh4wNTWFu7s7YmNjcfPmTcTFxWHJkiW8X+GgAZcGXXJ1IZVK8fTpU5w5cwbbt2/HtWvX8OGHH/LLk3Xlh1KpRPv27bFs2TLMnTsXFy5cgEQiQUlJCS5evMgr9kJlVKiA19TU4JtvvsGjR4/Qp08fGBsbw9TUFP3798e1a9dw8+ZNXL58GZGRkbyiq6vsCuNUlxuOmzdvoqSkBIcPH8b169fRrFkzPt+E7wbnT6VS4fPPP0e7du3w4YcfIjc3l7dnMP4qTNFlvLcIFU9howAArVu3RlhYGCCowLllntCOio8YMQIJCQk4c+YMDh06hClTpiA8PBx9+vRBjx49sHz5cly4cAGPHj2CXC5HamoqQkJCEBQUhNatW+PXX3/VxuR/CAwMRMeOHTF+/HjMnTsXY8eORdu2bdGlSxfMnz8f8fHx6N27N4YOHYrffvsNS5cuhVKpRFhYGLp06YIJEyagT58+cHR0xOzZswFBYyPsTDH+B2GDLJfLsW/fPgQHByMwMBBjxozBxIkTMXPmTEA7m9KiRQuEhoYiMDAQrVu3Rr9+/dC9e3d88cUXvEyFQsFfDx48GC4uLqiuroZUKsX9+/fx5MkTdOrUiXcjkUiwdu1atGzZEtevX8eRI0cQEhKCc+fO4ZdffoGPjw/GjBmD8PBwbN26FfPnz4enpycgKJdFRUW4ceMGunTpgv79+yMiIgK9evXCoEGDUFhYiBMnTkAul0OlUmH06NFo164dWrRogcLCQuzfvx+mpqZwdXXF/PnzsXnzZnh7eyMoKAi+vr6Ii4vDzp07YWBg8FrHpn79+vj444+hUqles2Mw3jXECoWTkxNWrVqFr776CmPHjsW8efMQGBiIixcvom/fvggMDMS4cePwySefoHXr1jhz5gz0tPsiCDv5wnZGqHBw5kL3SqUSM2bMQGVlJXr16oVJkyahS5cuqK6uhpeXF3bu3IkFCxbg448/hkZ7/qiud4+TN2fOHBAR3+60aNECVVVV/Dem0M7YipUTYXw5s7FjxyIzMxPV1dXo06cPAGDQoEHo2bMnunfvjoULF2LEiBEYMmQI71eoBKalpaFz586YPn06vvzySzRr1gytWrWqVWeamZmhUaNGGDlyJGbNmsXP+Pr5+SE/Px/R0dH8ZxQQtNc9e/bEgAEDEBoailmzZqFdu3Zo2LAhZs6ciaqqKtAblE49PT08fvwYHTt2RGBgIMLCwhAUFIRvv/0WADBlyhS8evUK4eHhWLFiBSIjIzF37lxA9GyhI83CMDXaT0U4VCoV1Go17Ozs4ObmhoULF2LBggVYsWIF315z8sRySktLMWzYMISHh2PixInIy8vD1q1bMWbMGH5VjvCZymQybNy4ESEhIWjevDlWrVqF+fPnY+jQobC0tMTatWuxZs0ajB49GgsWLEDbtm0RGxsLmUz2WhpJoOSq1epaCqsQrmxrNBr4+PhAJpPhm2++QVRUFG7cuMH3uUh7RjwHN7FgaGiIVatW4cWLF5g6dWqtcsJg/BWkX3I7ijAY7wmkHSk1NTVFq1at4O3tDZVKBQsLC/Ts2RPGxsaQyWRo0aIFWrVqhU6dOsHW1hY2NjZo3rw5GjduDIlEAjc3N9jY2CAgIABeXl4YNGgQzMzM+HCcnZ1hZWWF1q1bo0GDBmjVqhVatWqF1q1bo3Xr1mjZsiXs7Oz4Bs3IyAjdunWDiYkJsrOzMWTIEMyfPx/6+vpwdHRE+/btUVZWBgMDA3z22WcIDQ2FoaEhvLy8IJVKoVKpEBkZiYULF/IzcEzBrRthvjRo0AAhISFo2bIlgoKCMGnSJIwcORIymQxEBCMjI/Tt2xdOTk4wNTWFk5MTPvroI8yYMYNfuqZWq+Hn54eWLVtCIpHAysoKAQEB6NatG4KCgvDjjz8iPT0dGzdurNVRIyK4ubmhT58+CAsLg7+/P9zc3BAcHAwHBwdUVFSgQYMGmD17NoYNGwYIyjDnX19fHwMHDoS9vT2fJicnJzRs2BDNmjWDi4sLAgICEBwcjBYtWqBv376YO3cuXF1deVncQIuFhQVsbGzQo0cPLF68GK1bt+bjWq9ePXTu3BnW1tYAwKe3Q4cOcHR05MNmMN4FhO+hkZER3NzcEBgYyC8dbdWqFXx9fZGdnQ2NRoPo6GiEhITAyMgI3bt3h7m5OYqLi9G/f3+MGzeO//Y2ODgY+vr6MDY2hpeXF9q1awcbGxt4e3ujdevWkMlksLCwgIeHB4KDg2FsbIzGjRsjMDAQ9vb26NixIxQKBQwNDTFhwgR07doVnTp1QmVlJcrKyjBp0iR06tQJQUFBvJzAwEAYGhry6SEiODo6onfv3tDX14eZmRn69OmDZcuWwdvbG9AqE02aNEG7du1gYGAAfX19eHt7IyQkBDY2NvDw8EDr1q1hYGAAV1dX2NvbIyoqCs2aNQO0A769evWCsbExnj9/jvr162P8+PFwdnaGkZERmjZtipYtW0Imk8HMzAwODg548uQJGjdujFmzZsHT0xOGhoYICAhAQEAAjI2N0a1bN5SUlMDd3R1t2rSBTCaDoaEhdu/ejTVr1sDW1pavu7l/AwMD9OzZE6ampsjLy0PHjh2xePFiWFtbQyqVwtTUFIGBgWjQoAGfN5z/evXqoV27dny7PHLkSEybNg2mpqYg7WaBnTt3RlVVFbKzs9G0aVOMHDkSNjY2cHR0RIsWLeDq6gpol2f7+/vDy8sLtra2CA4OhoeHBwDAwsICrVq1QsOGDQFt/4Cz7969OzIyMmBlZYUJEyagS5cu8Pf3h42NDTw9PdGyZUtIpVJIpVLY29ujdevWcHJyQo8ePWBkZARfX19cunQJjx8/xrRp06Cvr18rj7gy2KJFC3To0AEzZ85EeHg4P2gQEBAAf39/5Ofno7q6GgMGDODLBDeLbmNjAz09Pb6tdHBwgLW1Nbp06QI7OzvItPs5BAYGwtjYGIaGhnB0dERwcDCaNWuGwMBAJCUloXnz5hg5ciTatGkDNzc32NraIigoCO7u7oB24IF7D52cnNCxY0doNBr4+vry5ZvB+CtIiHvjGYz3AGFxFyo6XGdf6ObP7oVmHJwcoTyhuRjx66fLDerwr8uM8fa86TlCYK/RaPgOgdgdCZbckfa7Nl1loLy8HBEREQgLC8OsWbNeK1N/hTeVGS4+4uWMuuDip9HOMtUVF135pNHOJjEY7zK63iVdZmJ0lX/xOy2uL4T1gtCd8P0T24n9ihGai+Vz1OWvLjvoCE+tVtf6hOfPwhDHi+NN7nSZcddhYWGoqKjAyZMna50+8GeI0ym81/UMOYTudMWRcyOOpy5IR53Muf8zf7riLbTnzF68eIF27dph/fr1iIiI0OlezJ+lUZe9OE7i+HBuOH9iOzFic3GY3LUutwzG26L7LWcw/qEIK02uIhX+iytycWXLXXMVMWcvRCyXW+YjvNflD6IwuXuuIyS2E7oXh8n4a9SVjyRQXoVuhf9c2dDVaeLcyGQyfPrppxgzZgwgKkO6EIfBXZOOxp5zI1ZYheVOKE8Yby59nHtd4XL3wjLI5YlGtPSSwXiX4N4X4XsjRvxeCMs/Z869a0I33LXYHqJ2SE+7GRT3jonrBfG7xcl/kxuhPKGdcFkt6pAlhDPXEyzJFsZTXNdwfiSi7y458z/7F5tJJBJ+afWECRNgbGz8xrgK7cRxEsIpuUI/4nqMSxuXFs5tXeGI7bm6UShLHA/OjDPn/InRZS8sr0ZGRli1ahW6dev2mnshuuIPkWKpy54zF/4L/eiKszBfxP/CMMTuOMT3DMb/Fjajy3jvEFa4wsa6rleBcyc2EypAQllCOUJ3XIMpdCNUMsRxEYfL+RP/6wpbHF/G64jzUvgMhM9QF1z+cn50mQvLh9ANZ4c6Og26ED9z6CiXYhmc3ZvkitHomL0Wy+TKHHcvtGMw3iW4ssyVXV1lnkNsJ7wXv3t1IXSn653WxdvYQ0edw9npMufshGmHIG2cuS47TqY4/Zw8sUzOD0ddaRb74dxptN+2cke56ZIvdC+US4KBPGH8oaPuFroXyhKnT+iWM0cdbbjQj9i/2J1QhtA9Fydd8eXccYjlc/e68kHojjOX6CgvQnvu/s/SxrkXx1csqy7E8t/03BmMP+P1KQgG4z1B3BBwFSlXmYr/hf6ElT0ERzSIGwddfnW55xohiBoUYXyE9rrC4q7F7hl1I8xLLt+4siBEaCd0I3xuQnPx8+HMhXbi5yd+jsI46IqP2J9Y3psQu+HuueWJ4rjouhf/GIx3DXHZFb5nusq2rneMu67rX0xd5uKwhYhliuPG1Sti91wdJbbn7MRm0PoV12sc4vAhaLs4ebr8ius/zkwMZ8a5hVY+d1Z3XXGui7ryh8sXzo3wJ4yDUIbQrfBamC6hf04GZ64RzMQKZQqpqx8g/BdfcwjD5eLBhSV2/yaZnF9hngnjoit9b4qrGKF/iPKR88f1j3TZMRh/FTajy3iveFNxF1em4nthhSuu2HXdC91xdrpGbMXXwnuxGwhkC0dexf51IXRDbxjhFaNLtjjdYjthnMRpEKeTQ5zOfzdc3N6EOL/qSheHOF90pV3ohjPjrsUyxW6Fs8G60BU/YZicDOG9OC1vk4a63DEY7xLCd41DXMb/3eVbPFMnDkccfl31g/D+/4Ku+kBoJvx/W8RxFssWI6ljhc1fCZPBYDDAZnQZ7yNc4ylssCXakWhxgyy85kZkxQ0zCUafOTccQhmckiKWy/nnzMX/YoTuuXD/SseDcyeMt67wOerKE3E+iBHniS65wt9/C43g+yto46XrOQrzXOheIhgx58zFaeXs/swN6pD3Z344xM9Hoi3XQpliGeL7usLj0s5g/JMQvsdi/hPlXfhe6oqDuC7grnW5+VchbOu4a/EA2dsijqsQsZ2uukeYZmEeMBgMxtvAZnQZ7x1v07ERN7K6zISNsdCeg1NshbNwly5dQmlp6Ws7I9Y1UycOQ2jOIbbX9UrX5UZsLrSDDnux0iq0ryuueEu7N8Xp38Wb4gXR97R1wbkRy9J1D236ysrKcOTIEXTo0AENGjTg3XDuOL+64vY2ceLgnteb3L/peaMOey6OwlUBuvwyGO8ydb3b/yp0vVtC3hSu8B0U1i3/F8R1iy65nML7fw2LQ1cYnLlEx+yx+J7BYDDeBFN0Ge8Vwo5/RkYG0tPTodFoYGBgAD8/P1haWgIAEhMTYWBgAG9vb74hTk5OhlQqRaNGjepsnDMyMvD8+XMEBQXV2tRHIpGgtLQUYWFhaNSoEX766SfeD+emuLgYiYmJqKqqgrGxMZo3bw5TU1NkZGQgIyMDSqUSBgYG8PLygoODAyTaHSmTk5Px4sULSKVSeHt7o2HDhrVG36GNZ3l5Oe7evcv758J98uQJ0tPTIZFI4OrqCk9PTwCAQqFAUlIS8vPzoa+vD09PT9SvX5+XV1FRgdu3b6O6uhr6+vpo3rw5zM3NkZSUhJycHOjp6UGtVsPR0RF+fn5ISkpCdnY235GSSqUwNDSEn58fTE1NX+tk/SfgysOjR4/w8uVLqNVqyGQyuLu7w9nZudYzVKlUePDgAV6+fAloz0X08/Pjj7soKCjAgwcP0LhxY/4826qqKty5cwfNmzevdSzG7du3ERQUhEuXLiEkJAQKhQL379+HmZkZGjVqBGjz/86dO6ioqAARQaVSwcPDA15eXrwcMdXV1YiLi4ObmxsaNGjAx/3Vq1dITEyEQqEAEcHW1haenp78WZEa7SZUOTk5ePjwIdRqNfT09NC4cWP+mavVaty9exf6+vr8OZoSiQQPHz7kzyBlMN41lEol4uLiUFNTA7VaDbVajQYNGqBp06bAv1mx4mSnpKRgypQp2LBhg85wVSoVUlNT8fz5cxARzMzM0LRpU5ibm9eS96+Kp0a7Y7BUKoVEIkFhYSEWL16MSZMmoUmTJmLnb6SiogL379+Hh4cH7OzsAK38xMRE2NrawtnZGRqNBg8ePHitHePyoLKyEnfv3oWzszN/Zi2DwWC8FcRgvGdoNBoiIho9ejRZWFhQeHg4NWjQgJo2bUppaWlERNSzZ08aP34876esrIw6duxII0aM4GVwPyKi8vJy+umnn8jJyYnq1atHBQUFtdwREV28eJEAUGpqKi+XIzMzk4KCgsjV1ZUiIiKoQYMG1KtXLyorK6N58+YRAIqIiCA3Nzeyt7enmJgYIiL6448/SC6XU9euXSkgIICaNm1KmZmZRKKwExMTqW/fvgSAtm7dyod77do1cnJyotatW5Orqys5OjrStWvXiIjou+++I3t7ewoLCyN7e3tyd3enx48fExHRq1evKDQ0lBo3bky9e/emNm3a0A8//EAajYa6d+9Ofn5+FBYWRt26daOPPvqIiIjWrFlDnTt3ptDQUOrVqxe1bt2aJBIJ3b59+7X4/ifgwlIoFBQREUH29vbUu3dvatCgAVlaWtKCBQt4NxqNhj788EMyNTWlLl26UHh4OBkYGFBkZCRVVFQQEdGuXbsIAA0aNIgUCgUREaWmppKpqSklJyfXCnPu3LnUvn17UigUlJqaSgMGDCAANHHiRG3siHJzc8nc3JzatGlDvXr1oo4dO9KmTZt4e138+OOPBICCg4OpurqaN4+JiSGJREIhISHUpk0bXu6jR494N6dOnSJXV1fy8/Ojvn37kpubGzk4ONClS5eIiCgvL48MDQ3JxMSE4uPjeX+DBg2imTNn8vcMxrtEaWkpmZiY8HVWhw4daPXq1bz9f6JOio+PJ0NDQ4qLixNbkUKhoE8++YSsrKyoU6dOFBYWRg4ODtS7d2+if3H8OFlxcXE0efJkvm67f/8+eXh40HfffSfy8ec8ePCALC0t6ccff+TNKioqyNjYmNatW0dERBs3biQTExPq2rUr+fn5kbe3Nx82EdG+ffsIAHXt2pU3YzAYjLeBKbqM9w5OoRo2bBiFhoZSTU0NJSQkkK2tLQ0cOJCIiHr16lVL0S0vL6dOnTrR6NGjeRnC/2PHjlFgYCCNGTOGbGxsdCq60dHR1LNnT14B4cxramqob9++5OvrS2lpaaRUKunRo0e0ZcsWKi0tpblz55KjoyOp1WpKS0uj1q1b0+TJk4mIyMfHh4YPH041NTWUl5dHMTExVFxcXEt+WVkZDRgwgD766COqV68ebdmyhTgSExPp3LlzVFpaSnFxceTo6Ejjxo0jIqJbt27R3bt3SalU0tWrVwkAHT9+nIiIpk+fTl5eXvTw4UNSq9VUVFRERUVFVFFRQT169KDDhw+TRqOh8vJyqqqqIo1GQ9XV1VReXk7l5eWkVqtp8uTJFBwcTK9eveLj86/stP0ZXFgKhYJCQ0Np1KhRpFQqKTs7m9atW0f6+vq0fv16IiLauXMn2dra0q5du6iqqoqUSiUdPnyYrK2taeHChbwbAGRoaEgnTpwgIqK0tDQyNTWllJQUPlyFQkFOTk60cuVKIq3SO3DgQAoODubLF2kVS2tra7p8+TKflzU1NUSCciUsXyqViiIjI8na2posLCwoISGBlxUTE0MymYyuXLlCFRUVdOvWLWrWrBm1bduW1Go1FRQUUPPmzSkqKoqKi4uppqaGsrOzqXfv3uTq6koKhYLy8/PJyMiIANSK5+DBg2nGjBn8PYPxLlFSUkIGBga0Z88eIm19WV1dTSqVitLT06myspKIiJRKJT19+pQqKipIo9HQ06dPqaysjDIzM+nRo0dUUlLCy1Sr1fTkyRN6+PAhpaamUlpaGikUClKr1fT8+XNKTk6mlJQUKisrIyKiO3fukLGxsU5Fd926dWRkZES//vorVVVVUVVVFaWkpNCmTZtIrVbzdUBmZiY9ePCAsrKySKVSERFRcXEx5eTkUElJCSUnJ/ODoBw1NTWUlpZGDx8+pJcvXxIRUXV1NV//xcbGUnFxMVVWVtKVK1eotLSUSFvXZGVl0YMHDyg7O7uWTDEPHz4kKysr2rZtG29WUVFBpqam9O233xIRUUBAAA0bNow0Gg29fPmSLl68WGugrl27dtSiRQvy9vamq1ev8ubC+o/BYDB08Z9dJ8hg/JcRLiWWSCSQy+XQ19eHn58fBgwYgHv37vFuhcto9fT0oKf93paDW74MAMHBwYiNjUX79u2hHUDi7SQSCQoKCnDp0iVERETAwMAAGsHh9BcvXsThw4fx4YcfwtPTEzKZDN7e3pgwYQLMzMygUqn48J2dnWFlZQUDAwMAQL169XDz5k3k5OSgXr166NixI7/8Gto46uvrY+vWrZg/fz4MDQ355W1EBF9fX3Tt2hVmZmbw9fWFt7c3KisrAQAtW7ZEQEAAZDIZVCoVDA0NYWZmBgCIiYnBoEGD4OLiguzsbFhYWMDKyopPV2lpKXJzc2FkZARDQ0MAgL6+PoyNjWFiYoKsrCycOXMGUVFRsLCwqJWv/ynEy/zkcjlkMhmcnJzw8ccfIzg4GGfPnkVFRQX2798PDw8PDB06FIaGhpDJZOjTpw86deqEkydPAtr8tLGxQa9evTB79myo1WreXMjvv/8OmUyGnj17AgBmzJiBffv2wdbWtlY+cNfFxcWoqKiAiYkJ9PX1AVHcuevU1FTcuXMHe/fuha+vL3bs2MG74eCeQcuWLTFjxgzEx8fj6NGjiI+Px927dzFnzhxYWlpCX18fTk5OmDZtGrKzsxEbGwupVAqNRoORI0fi119/xaFDhwBt+v7TS84ZjH813LtlamoKAwMDZGdno1GjRoiNjQUAZGVlISAgADExMSgrK0OHDh3Qr18/hIWFISAgAOPHj0dpaSkA4JtvvkHr1q0REREBb29vDB06FCUlJTh48CDatm2Lfv36oXXr1hg/fjyUSmWtOlnIs2fPsH79egwdOhTDhw+HoaEhDA0N0ahRI0yaNIlvx7Zs2YKWLVuib9++CAwMxMGDBwEAa9asQbt27dCvXz907doVLVq0wO+//w5oP42YMWMGWrVqhdDQULRt2xZJSUk4ePAgZsyYAYVCgZCQEHz77bd4+PAhBg0ahJSUFADA6tWr0bp1a4SGhqJz5864cuVKrXi/DcI6zNDQEGlpaSgsLIS9vT06derEt3G5ubkoLi7GggULoNFocPPmTUCUV+J8YzAYDA7WO2G8Vwg7FBLtd7NPnz7F1atXsWPHDkydOhUAYGRkhB07dsDDwwMeHh7w8fHBpUuXeKVNqCwDgLW1Na8ICDv+nP2+fftgYWGBYcOGAYJz4qD9jtPIyAgDBw7k4yZUlqVSKXJzc/HBBx+gS5cuiImJ4ZWklStXQqFQIDg4GIsWLUJBQQE4OPn6+vq1lFBOgeKuuXAuXbqES5cuITQ0FNB+77l69Wr07dsX4eHhGDZsGNq3b4+kpCQUFBTgl19+QUhICHr27IkePXqguLiYP4d1zpw5CAkJgZ+fH06fPl0rrwBgz549KC8vr5Uff5fOChePiRMn4uLFi0hISMDTp0/Rtm1b3p5zExAQAKVSiaqqKkgkEhgZGWHmzJkoKCjA7t27a53/yHH69Gn4+fnBz88PAGBrawtov4EV5pGenh6qq6sxd+5c+Pj4oH379sjIyODtxXl67tw56OnpoXPnznBzc8Pdu3ffOIAwbNgwNGjQAOnp6cjMzISDgwOcnZ0BQR44OzujXr16uH79OqRSKVQqFcLCwjBkyBAsXryYl/V3eXYMxl9Foh3w3Lp1K2bNmoVp06bh8uXLgPbbWKVSCWgVw5KSEv5b3pqaGqSkpGDXrl04efIkDh06hHPnzuHmzZtYtmwZfv31V5w5cwYeHh4IDAyEra0tLC0tsWPHDsTHx+PEiROIjY3FpUuXoK+vX+t95t7bxMRE5OTkIDIyEgBw5swZTJ48GdOmTcOmTZsgkUgQHx+PWbNmYc+ePXj48CFmzpyJTz75BNXV1aioqEB6ejqCgoJw7949dOnSBYsXL0ZRURG2bt2K48eP486dO0hMTESbNm0we/Zs9OnTBytWrICxsTHOnz+PmTNnory8HK9evYJEIsGDBw8wf/58zJ8/H3fv3sXatWuRlZXF56cuhPUUh7AtWrNmDZ49e4amTZtiw4YNqKqq4t1t3boVANCnTx+EhITg4sWLtQYHOFgdxGAwdMEUXcZ7B9cgymQyXL58GcHBwQgPD8egQYMwdOhQQNvBady4MUaPHo1Ro0Zh6NChcHJy4mfpFixYgOnTp+Ojjz5CXFwcL1uoRHKoVCqcPn0aHh4esLS0rKUocchkMn4Em1OMhA05N9PYoUMHWFlZ4bvvvoNSqURgYCBu3ryJsWPHYu3atYiIiMCzZ88AHXHRJZfrXFVXV2P27Nno1KkToqKiAAAlJSXQ09NDy5Yt4efnh6tXr+LBgweoqqpCTU0NQkJCsHr1anz//fe4fv06lixZAiMjI3z88cf47rvvsGzZMjg7O2Ps2LHIzs7mw6usrMTevXsxYsQI1KtXr1ZeiPPlvwGXPyqVCtXV1XxH18TEROTyfwYRhPlZU1ODtm3bomvXrvjxxx+Rn58PmUzGu0lJScH+/fsxduxYQKQ0c/ccpqam+Pbbb/Hjjz9iwYIFyM/PR1RUFNLT07F06VLMmDEDH3/8MXbv3g1oZ4q7desGjUaDSZMm4datW3yHXRdyuRyk3eRKo9HwM9VCZDIZ5HI5X3Y4d1OnTsXz589x4sQJvtwyGO8qnAJ3/vx5XLx4EY8ePeIH7cR1EjcoV11djVmzZsHf3x+tWrWCnp4elEolXr16hfLycjRu3Bj16tWDRCKBg4MDAKBr166oX78+1q9fjz/++ANlZWUoKCjgZXL1hLiO5gZYHz9+jCtXruD333/H6tWrAQDHjh2Dnp4ejh49isWLFyMhIQE5OTkoKCiARqOBn58fZs2ahXr16qFp06aoqalBcXExrl+/Drlcjp9++gmrV69GZmYmkpOTQUTw8vKCTCaDr68vTExM+DzQ19fHxYsX4e3tjX79+sHGxgbh4eEYOnToa/n0Jrh6j0tnSEgIYmJiMG7cOMydOxfR0dEoLS2FQqHA5cuX0aRJE0gkEowYMQLHjx9Heno6L4dDmGcMBoPBwRRdxnsH1yAqlUq0b98eV65cQUJCArZu3crvCqlUKhESEoL58+djwYIFmD9/Pho1agSVSgUAePr0KR4/foynT5/yZqjjGJesrCzcuHED48aNA3Q0yHp6eigrK+OXyHFmHBqNBvXq1cO8efOwYsUKrF69Go8ePUJqaioAwN7eHkuWLMHFixdx48YNnD9//jUZ3D2nsAjvS0tLMWzYMJiamuLXX3+FoaEhiAj29vaYMWMGFixYgH379kGpVOLTTz+Fvb09TE1N0alTJ3Tr1o1Xjq9cuYLS0lKEh4djwIABGDJkCObOnYvc3FxcvXqVj8euXbuQkZGB4cOHAwIFnLv+u3Dy5EmEhYXBz8+Pn9Xk4OIZHx8PIyMjGBkZ8WkgIixatAiPHz/Gtm3bas1WP3jwAIaGhmjduvVrssQdRSMjI4wbNw4hISEYP3481q1bh/j4eGRnZ6OsrAyPHj3CkydPYGVlhdTUVDx48ACnTp1CUFAQPvnkE1RWVuLYsWO1ZAo5c+YMSktL4evri3r16iEjIwOFhYWAIE5ZWVnIzc1FaGgoP/tfXV2N4OBg9O3bF3PnzkVmZuZrCjKD8a5ARFAqlViyZAliY2Nx9epVTJgwAdXV1YB2RQ0E9amwvuIGE7k2QK1Ww8XFBba2thgxYgT69+8PExMTfrXOypUrERoairi4OKSnp0OlUtWSL6xDAKB+/fowNTXFqVOnAADjxo3D3bt3MXnyZD5MhUIBhUKBtLQ0JCYmory8HCNHjoSNjc1rq0Q0gp3t1Wo1qqqqkJycjISEBNjZ2WH48OEwMTFBTU1NrXiIZejr60Mul/Nmb0Kj0fC72XNItOd7C1eceHt7Y9myZdi1axeuXLmCEydOICMjA2fOnEF8fDxatWqFTz/9FDKZDCtXruT9MRgMxpt4vVfOYPyDETfcFhYW8PLygqur62szU9xMHrQdGZVKxfv/9ddfcfToURw7dgwhISECX/8jW9gxOH/+PCwsLNCuXTudblq0aAEvLy8sW7aM/8arpKQEmzZtQmFhIX/EDUdlZSUUCgVUKhViYmJ4O27Un5t1hqiDwrkTKsBVVVWYMGECMjIysHfv3lpHyaSkpPCdKW4209jYGA0bNoS5uTmv+CmVSsTHx6NNmzYwNjautewsNTUVarWaPxKHiPDjjz+iS5cuCAgI4N2J8+w/iVjBBIDjx4/j7Nmz/Ax6p06dcOvWLcTFxfHxvHLlCmJiYvjnz3Uq1Wo13N3dMX78eGzcuLFWZ3PDhg0YPXp0rWOaOMR5UFFRwXe2AeDq1aswMjKCg4MDvv76axw/fhxHjx5Fr169sHnzZtjZ2WHLli1YsWIF1q5di8mTJ+P3339HVVUV35nmyM3NxapVq2BnZ4fOnTujZcuWsLW1xYYNG3g3VVVV2LBhA8zMzNC4cWOotN+Kc3H8/PPP+WX/TNFlvMtoNBqYmJjA0NAQFhYWgLaus7CwQE5ODgDg1q1bvHtOKeXqUtLOUEqlUqSnp6OiogITJ07E2LFj8dNPP6Fx48YAgJ9++gndu3fHkSNHsGTJEhgbG9daecO9WxKtMu3n54ehQ4fit99+w6VLl2BgYAB9fX0YGRnx7ZO7uzskEgk2bdqEgwcP4uDBg9i8eXOtwTcOrn6Sy+WwsbGBg4MD/vjjDxw+fBh//PEH5s+fz8dF2I5wZkQEFxcXZGVl8cuV8/LycO/ePSgUCuzevZsfLOPCtrW1RYMGDXDu3Dne7P79+ygrK4OlpSXUajXu3LlTq61Ra4952rp1Kxo3boyNGzdi5cqV2LRpE8LCwhAfH4/y8vJa9RGDwWDoRLw7FYPxT4bboVGj0dCQIUOoR48e/L1wB8cuXbrQ2LFjeX9lZWXUrl07io6OJtLuqsn9SLtDcVBQENnZ2ZGenh55enrSoEGDiIjIz8+PPv74Y16WLi5cuED169cnFxcX8vf3J3t7e+rQoQPl5OTQ/PnzCQA1a9aMmjZtSjY2NjRmzBiqqqqikJAQ3o+FhQWFhIRQVlYWkSCtKpWKPv30U3J3dyeJREKOjo7UpEkTev78Oa1fv54AkKOjIwUEBJCXlxf169ePsrOzqW/fvuTp6UkrVqygli1bkq2tLd28eZNIuxOoXC6nyZMnU58+fcjDw4NiY2Pp8uXL5OrqSkOHDqWBAweSsbExTZs2jc+n3bt3k1QqpWPHjglS/9+lpqaGwsLCyNDQkJo1a0aNGzcmW1tbmj17Nn9MUEFBAXXu3JlMTEyoWbNm5OvrS1ZWVhQZGcnvtvrLL7+QmZkZvzPykydPyMXFhWQyGaWlpVFSUhI5Ojryu7tyz2f58uXk5eVFZmZmZGpqSn5+fnT8+HHatGkTOTo60ujRo6l79+5kYmLC79Qs9M/tmMwdfcVx8uRJkslkdODAAYqNjSUA5ObmRn5+flSvXj0KCAige/fu8e7XrFlDUqmU3N3dKSAggOrXr08NGjSgkydPEml3gQbAx5+I+LL52Wef8WYMxrtESUkJSaVS2rdvH5Go3vzoo4+oYcOGNHToUGratCm5u7vT3r17qaCggExNTWnt2rVE2t2N9fX1aefOnZSRkUHu7u4UFBREXbt2pTZt2tCECRNIrVbT6NGjqUmTJvTVV19RYGAgAaBdu3bRgwcPSF9fn69fhW1RTk4OtW/fniwsLMjX15f8/PzIzMyMP2qnoKCA2rdvT02bNqVly5bR6NGjqVu3bqRSqWjixInk6+tLhYWFRNod3l1dXenZs2eUmJhI7u7uFBoaSitXrqSIiAi+nbp79y5ZWlpS+/btafPmzXT27FmSy+UUFxdHlZWVFBgYSJ6enjR16lRycHCg7du305MnTwgAv3O0cDfkX375hezs7MjNzY0CAgLIxMSEIiIiqLi4mLKysigoKIjc3d3Jz8+PLC0tqVu3bpSXl0cuLi40a9YsXg4R0dGjR0kikdDu3bt5M7bzMoPBqAsJiYf8GIx/MFxxl0gkOHXqFBQKBfr06VPLHNrvngwNDdGtWzdAO2t56NAhWFhYoEePHvzoNjein5KSguPHj8PY2Bh62k2EHBwc4OjoiFGjRmHHjh3o0KEDHw8h3Eh+YmIiTp06hfLyctSrVw9DhgyBra0t4uLi+O+ANRoNnJ2d0bt3bxgYGODBgwc4fPgwFAoFzMzMEBkZCVdX11pyq6ursXfvXpSUlEAul0Oj0UCpVGLUqFHIyMjAtWvXoKenB7VaDY1GA2NjY/Tr1w/FxcU4dOgQysrKoK+vj65duyI4OBjQ5sfRo0dx7949GBgYIDIyEo0bN0ZRURFOnDiBtLQ0EBGaNWuGfv368cvcbt26hYSEBIwdO/ZvMxKvVqtx7tw5pKWl8Wa+vr5o165drZnK4uJi/PbbbygoKIBCoUCTJk0wYMAAGBkZAdpZiri4OIwZM4afaTh+/DhevHiBESNGYMmSJThw4ACSk5MBwfO5cOECEhIS+BmYmpoatGnTBh4eHvj999/5Wf2WLVuiV69e/GwPV/4qKiqwd+9e+Pv7o0WLFvzyxIqKChw4cAAtWrSAnZ0dDh48CKVSCY1GAzMzM0RERNTa6VlPTw+nTp3C7du3oVQqeTfe3t6AdiXB5s2bERERAU9PTwBAQUEBDh06BF9fXwQFBfF5xWC8KygUCmzbtg09evSAu7s7/15C+87v2bMHL168QGhoKGpqauDs7AwXFxds27YN7du3R7NmzVBTU4Nt27ahZ8+eiImJwVdffYUzZ87AxsYGP/zwA1asWIEHDx7Azs4OP/zwA169eoWAgAC8evUKHTt2hLW1NX7//Xf0798f9vb2/Dsp0a7yqKqqwpEjR5CcnAw9PT3Uq1cPvXr14uv6rKwsHD58GLm5uTA0NES7du3QqVMnXLp0Cc+ePcOgQYNgYGCAmzdv4sGDBxg0aBDMzMxw9+5dnD59mt/VvV+/fvzs86VLl3D69Gl07twZvr6+OHDgAAYNGgR7e3tkZmZi//79KCoqgqurKyZMmIDffvsN06dPx/Xr1+Hm5gaI2tvbt2/j+PHjgHaWNyoqit+I78aNG7h06RIqKythamqKUaNGwc7ODhs3bkTr1q0RGBjIPxciwpYtWxASEoJmzZrVWo7NYDAYYpiiy3iv4Iq7UEnl7rmGVKiACV8PzlzXK1OX0rZkyRKcOnWq1jeqYoQdq38Fbxu/N4VbV+dBV35waDSa1/IPdfgRdoD+m9SVTg5xXorjq8ueK0tCudXV1ejfvz969OiB6dOn11Iu/yriMKEjX4Vmb8ubyoPY7u/y/BiM/wt/Vq7F9mJ0vW/r1q3DwoUL8eOPP8LU1BQHDhzA+fPncfv2bdjY2Ah8/w/iMLh6lLNDHfUEV89wbsXxFNqJ6yRxOoXoqsfFssT+VCoVunbtin79+mH69Om8uThcMbpkcXB24nSK08HZ1SWHwWC83zBFl/Fe8qYGVsjbuquL5ORkVFdXo3nz5mKrP+VNnZG/I+K8EndOhPxd0vSmPH5TesT8mcJcXV2NuLg4+Pr6wtraWmzN86b4CBF2hsVudcXzTWbi51SXOwbjn8ZfLdtvcs/ZZWdn48svv0RCQgI0Gg3c3NwwY8YMfjXMX+FN4XHoeo918Wf2HP8bd5WVlbh37x5at27N7+b+NjL+CqRjUIHBYDD+jL+s6KpUKn5HvroQd5rEFdRfDPJ/hbDi/0+Ex3j34ZSVN3UcOHPOTli+hHZ62h0lueNnampqXpPFIZShK0wOsXxxuG9DXfKF5uJwxDMMwmvxDAGHrnDEZuL7/xa68k+cTnE8dfmBIB+Efrl7Q0NDKJVKqFSqN8oWIrYX39dlJuRN9rrSwbknQTmrS0Zd5gzGuwRX3nWVZ+E7rOt9EcOdp15TUwMigr6+PgwNDfl7oRxd4XF2wrDE7sX+dMVLLINz92cIZYv9ixGmRy6XQ6lU1uleLOvP7sVIJJJaS7oZDMZ/D6lUym+A+nfnLyu6r169Qm5u7p9WNMIKUBwEiTrq/y6EFf2fxZfBYDAYDAbj/4q4v/Hv7uswGAzGfwoigrGxMRo0aCC2+ltS91q7t+BNlTdX0ZN2FJKDmzXjRub+1XBhCf/ftKTwPwmXF2/Kt7dFLEN8z2AwGAwG4z+PsK1nbTODwWD89/jLGiA3S8tdvwk9PT3I5XIYGhpCX18f+vr6kMlk/zYlF9o4SaVSPjz8jZRALu/+LN/eBrEM8T2DwWAwGAwGg8FgvK/85aXLJSUlePny5Z8qVhKJBK9evcKLFy9qmbu4uMDExAT4NymgEokEz549w4kTJ9C8eXO0adMGarX6T+PLYDAYDAaDwWAwGAzd0PuwdPltZiVNTEzw/fffY8SIERg2bBgGDx6MwYMH48yZMzA0NAQJvp/lriFY8iMMQ2wmDlt4b2BggBs3bmDNmjX4/fffoVaroac907IuP9w1J5tTwMV+dPFn8dGFMB3CsLh7sUxxHgkR++fMdJlziGUL3QjtxEu+xXIYDAaDwWAwGAwG4+/I/0rRFSpSdSGRSJCfn4+ysjK0adMGQ4YMweDBg9G0aVPU1NTU2p1PX18fSqUSGo0GUqkUxsbGqKmpgUKh4JVUIyMjqNVqKJVK1NTU8LvZEhGUSiW/TLm8vBzh4eGYMmUKRo0aBQMDA6hUKj48mUwGiUQChUIBAFCr1SAi3p1KpYK+vj6kUikUCgUkEonOnWXlcjkvR6lU8vd6enpQKpV8vIkIKpUKarUa0CriRMSHz91z8TA0NOTjwYUrk8mgr6+P6upqqFSqWrsDczufqVQqKBQKGBgY8EvG9fX1oVAooFAoYGRkxPtRKBT8M5RKpXz8ODu5XA4DAwPU1NRAT08PhoaGkEqlqKmpgVQqhVQqBb1h4IHBYDAYDAaDwWAw/pv825Yum5qaYuLEiTh+/Dj279+P8PBwVFRUoKqqCnv37sXGjRuxefNmNG7cGIsWLUJMTAw2btwIZ2dnTJs2DU+fPoVCoUDfvn3x+eefY82aNdi3bx/09fWh0WjQsWNHLFmyBM+fP8f06dNhbm6OjIwM+Pr6YsGCBfjoo4/QtGlTjB8/HkuWLIGxsTFWrlyJO3fuYO7cuQgMDMSCBQuwbds2HDlyBC4uLkhISICRkRHGjRuH2NhYxMfHw9raGmvWrIGbmxuUSiWgVXKPHj2KjRs38keFeHl5YdOmTfjxxx+xe/duLFmyBO3bt8eTJ08wdepUtGvXDp999hnWr1+Po0ePAlol9+OPP0ZERAR++ukn7N27Fw0bNsTDhw+hr6+PDz/8EBEREcjKysLkyZNRXV0NALC1tcXChQvRrFkzlJSUYN68eUhMTIRarUbDhg2xbds2ZGRk4NNPP0VpaSn09PTg7++PVatWobCwEKNHj0ZERAQ+/PBD3LhxA3PmzEF4eDg++eQTjBs3DlKpFBUVFcjLy4OlpSWGDRuGgwcPIjs7G40aNcLixYthY2PDK8cMBoPBYDAYDAbjnw29D0uX3wahInzo0CGsXbsWP/zwA54/f47i4mI8efIE1dXVkEqlyMjIQFpaGmQyGX744QecP38e/v7+iI6O5uXk5eWhbdu2GDZsGOzs7LBjxw6cPHkSMpkMSUlJOH36NNRqNVQqFaqrq3H79m2kpaVBqVQiPT0dT548gVQqRWlpKZKSkpCVlQWNRoOCggLcu3cP9+7dg4+PD5KTk/Hpp58iNTUVTZs2RUJCApYuXQqpVMrHRSaTISEhAR4eHhg5ciR8fHxw+vRpbNmyBcHBwcjIyMAvv/wCU1NT3Lx5Ew8fPoSLiwsOHDiA9evXo2nTpoiKikJRURG++eYb5OTkoKSkBElJSUhISEBAQABSU1OxaNEi5Ofno6CgAIaGhhg6dFGjcPIAAP/0SURBVCh69OiBO3fuYOvWrdBoNFi3bh2OHDkCR0dHhIeH49WrV8jLy8OHH36IwsJCREdHo0mTJjh48CB27twJuVyO5ORk5OTkQCaToaKiAk+fPsWzZ88gkUiQnJyMCxcuID8/H05OTrh79y4+/fRTqFQqmJqa4vTp09i/fz//bBkMBoPBYDAYDAbj78a/RdElolo7K+/cuRNffPEFli1bhuzsbMjlct5OuDRYrVbDwsICAPDs2TMEBQVh5syZUKlUmDZtGiZOnIgOHTrA19cXRITbt2/zsurXr48DBw5g4cKFKC0t5ZfUckuIuX+hAi4RHEA+efJkrFmzBn5+fjA3N8fatWsxY8YMAEBBQQFqamoAbdpqamrwwQcfYObMmejcuTOaNm0KAMjPz4eXlxccHBzw8OFDvHr1Cr/99htkMhl69uyJx48fAwACAwMRHh4Of39/PHr0iJ/BBYBp06Zh9erVCAgIgEqlQnl5OXx9fbFq1Sp07twZ7dq1g6mpKZKSkpCdnY2UlBRYWFhg3rx5+Oqrr/Dzzz8jMzMTT58+haenJ7p27Yru3btDX18f9+/fR1VVFaA97JlLD7Tf40okEshkMkilUvzwww/YsmUL5HI5GjZsiF27duGzzz4DAFy5cuW1mVzxPYPBYDAYDAaDwWD8t/i3KLpC5RUAPvjgA2zZsgXr1q1DQEAAvwRYJpNBT0+PV7qqq6sxbNgwfPDBB3j06BEiIyMxb948FBYWYseOHejZsyfGjx+P8+fP8/45xdXIyAi2trawsrLivx/l4sBd6+npQSaT8fESKr2mpqaQSqUwMzODgYEBzM3NoVKpAMGmTEI5x48fx4ABAxAVFYU//viDt7ewsED37t3x/Plz7N69G69evUKHDh0gl8uRkZEBiUSC/fv3Y8aMGSgrK0P79u35ZcAAYGVlBbVaDQMDA2g0GshkMly5cgUTJ05EeHg41q5di/LycpiYmCAlJQWxsbFwcXGBs7MzKioq4OrqivLycn4me968edi1axcCAgL4AQJhWriBAqHSr6enBxsbG353bENDQ5iZmcHQ0BDQflMt0bGRFoPBYDAYDAaDwWD8Hfi3KbrCGb7g4GD069cPvXr1glQq5ZW6mzdvoqCgAAUFBbxbpVKJjz/+GCdPnkRAQAAOHz6My5cvY+PGjejcuTMuX76M8PBwAOAVM9JurKRWq3nZ3Kwyp/Smp6cjMTEReXl5gI4dhLnvTTl/nF8OLk0ymQwZGRnYsmULXFxcEBMTgwkTJgDaMPX19RESEgI9PT18/fXXyMzMRPPmzeHi4gIXFxcQEUaMGIHdu3fjm2++waJFi+Dl5VVrcywhMpkM27dvx5MnT7B//358++23MDU1RXV1NXx9fdGxY0ekpKTg7t27KC8vx9WrV2FpaQkDAwN4enpiw4YN+OWXX7Bq1Sr079+fH1RISkpCRUUFP8ssVFYlEgm/6RWXbi5fhHB5K8wnBoPBYDAYDAaDwfhv829RdDkFiaOyshJVVVWorKwEADg5OQEA1qxZg4iICMTFxQHamcJvvvkGo0ePxrZt2/D06VN4eHigXr16MDExQVpaGr7++mvs2rWLD0ej0fAzrxAovaTd7djMzAwODg548eIFJk2ahJkzZwI6lHGhMsddC+24GVAigrW1NWxtbfH8+XOsX78eW7ZsAbRKenV1Nbp3744mTZqgoqICdnZ26NWrFyorKxEQEAA9PT2sW7cOn332GT755BNMmDABz54942eN1Wp1LUWbiPjl3AcPHsQXX3yBkpISEBHMzMzQqlUrKBQKzJ07F1FRURgxYgS8vb0REBCAmJgYTJ06FYsWLcKkSZOwZ88eGBgYwNraGvfu3UOvXr2wbNkyAOA31VKpVHzauWfIxYmD28FaqBgzZZfBYDAYDAaDwWD8XZB++eWXX4oN30RNTQ3Ky8tfmxEVwimFL168gEKhQHh4OGxtbXmFydXVFRYWFigqKoK9vT1mzpzJK4iNGjXC9evX8ejRIzRp0gRffPEFWrVqBUtLS6SnpyMrKwsdO3aEpaUlunTpAg8PDzx58gTe3t7o0KEDryRmZWWhZcuWaNGiBVq1aoUXL16gqqoKQ4cOhb+/P5ycnNC6dWvk5eVBo9GgS5cucHR0REZGBhwcHNCxY0dIpVLk5uaiadOmCAoK4mUbGxvz4aalpaFt27Zwc3ND8+bN0aRJE8jlcrx48QJqtRphYWHo3bs3Kioq0KhRIzRv3hzJycnIzc2FRCJBREQEunTpgry8PKjVanTu3Bn29vZ4+fIlLCws0KVLFwQFBeHZs2d4+PAh6tevjxYtWqBhw4YICgpCYGAgiAilpaUwMDDAJ598Aj8/P7Rr1w5KpRLZ2dl48eIFGjdujFGjRsHe3h7u7u7IycmBgYEBxo8fDxMTEzRv3hz+/v7IyMiAs7MzevbsCblcjocPH6Jp06bo1KkTqqqqkJWVhdatWyMwMBBqtZpXct9UHhgMBoPBYDAYDMa7j1wu5yfh/u78244XgnbZrVwuR3V1NdRqNT8jKpVKIZfL+fNY1Wo1pFIpqqqqIJVK+W9AoVWsVSoVDAwM+O9rOfcKhQIqlQqGhoYg7SZRnOIlPI+WC09Pe8atUDYXx5qaGmg0Gv47VO4MWQMDA6jVav7sWQ65XF5LJhcfTpk3NDSETCaDSqXiN7KSaDd74jaegnYmlTuf1tDQEFVVVdBoNDAwMKiVJ3K5HDKZ7LX4k/YMYG5Jskp7nq4wzaSdqVZqzyrm0gxtXurp6UGj0UChUMDQ0BASiQRVVVUg7RbiXPqF+VFdXc3PQhMRHw6DwWAwGAwGg8H458HpBu/K8UL/NkX3TbN8nDKqS0Hi/Em0myNx9pxbjWhZNOdeGJ7QHbfkVuhG6FYYF6Fczi8XFw4urkJ7sV/OXV12HMK01OVGCOdGmF/cPRdPTnEVpov7LlqcPtIqwEKFVZxWYZjiZ6ErLxgMBoPBYDAYDMY/D/qnKrqc0lNcXIzc3FzgLZUzsbLEKVhvMhP7E7urS+H6q7wpHuLw3+ReGAfuX6hsi2WK/3XJ14XYXld8xNfcPUTf0uqyF5oL46jLvdCd2J7BYDAYDAaDwWD8syCtotuwYUOx1d+Sv6zoVlRUoLi4WKeixmAwGAwGg8FgMBiMfyZyuRx2dnZi478lb63oCmEKLoPBYDAYDAaDwWAw/q78peOF2DJVBoPBYDAYDAaDwWD83fnLM7q6vudkMBgMBoPBYDAYDAbj78Jbz+gyBZfxT+Ivju+8FWKZwnuxHUdd5oy/B/+q5/OvksNgMP4z/F/f2br86zLXZfYm6mpbSLtJp1ie+J7BYDDeF95a0eWUW/E/g/Gu8vXXX+OLL74AAOTm5qJHjx6YPHkyIOgYjB07Fvv27QMAbN26FV26dEFERAS6deuG8ePHo7S0lHcvkUhw9uxZtGnTBhs3bqz1jhw8eBDdunVD7969ER4ejl69euHAgQP8pm7ijsisWbPQrl07XLt2DdCed7xo0SL06NED3bt3x9ixY/mwc3NzERUVhfDwcISGhiIyMhJFRUXAGzo+jP+PSqXCwoUL0b17d/75REREIDs7G9euXUO3bt2wbNkyqNVqAEBVVRU+//xzPHr0CADw/fffo0uXLrhw4QIvMyUlBZ9++inKy8t5s7d9BiUlJejXrx9fTsLCwmrJnjJlCrp3747w8HCEhYVhxIgRSE9P5+3Pnj2LoKAgfP/997wZg8HQTWVlJQYMGMC/b926datVN0PHuys0F1/rMhP6gfZoQY1GA9Ie8Sd0y91XV1cjOjoaYWFh6N27N7p164Y1a9bwMoR+1Gr1G+MoNBPHTWj2Jn9iPwwGg/Eu8NaKLoPxT0DYQN+/fx937twBANTU1ODs2bPYsWMHTpw4wSup58+fx+PHjwEACQkJePz4MaKjo9GhQwccPHgQn332GaAd+FGr1dixYwfu3buH3377jVc2ASA1NRUPHjzAoEGDEBUVhSFDhqBx48a8X2G8Dh06hG+//RbXrl3Dy5cvAQDLly/Hzz//jOjoaERGRmL37t3YsGEDAOCzzz5DQkICxowZgx49euDcuXNYvHgxIOrYMGrD5YtGo0FcXBwqKioQHR2NwYMHIyoqCtbW1sjIyMD58+cxf/58xMXFAQCUSiXi4+NRXFwMAEhKSsLFixfx1Vdf8YptcXEx4uLioFQqAe0z5srUnz2Pmpr/x95bx0dx7Y3/792NQ7AQLAQJXrQUd0iw4FqsuBUtRUqBthQotEiBUtzd3YprcAgW3ILGXTZr5/fH3Zk7O2xo+zzf+/zuvcz79drXzhz5nDPnzJHPsclg3759VKhQga5du5KamsqgQYN49eoVAKdOnUKn09G9e3c+//xzWrZsSa5cucCutE+cOJFbt26xd+9eMjIyVNI1NDSUmM1mDh06RPHixenatSsuLi4MGjSIu3fvZjqwr76XzDL7SQj7gKher5e/X6/+RKLk3mw2s3//fkqUKEH37t3p2rUrn332mYMbpSx1mEo36mspPLVbJUoz5bX0DBoaGhr/CWiKrsZHhbLBNxgMGAwGsDfeer0eb29vZs6cSWJiIgDu7u64uroCYDAYyJ8/P926deP777+nXbt2XL9+nbS0NABiYmI4c+YMU6ZMITQ0lGfPnsnhGgwG8ubNS69eveRf2bJl31N6kpKS+OGHHxg6dCgo4rt79246dOhAnz59GDx4MKNGjWLTpk2kpqZiNBopU6YMHTt2ZMiQIZQvX96hE5VZR+ZjR/kuAHz66ad0796dnj178sUXX+Dp6YlOpyN37tzky5ePH3/8EbPZjMFgkNNV8u/r68v58+dZs2YN2NPdYDDIbjZt2kRQUBCdO3fm3r17chycIeVd3bp16dmzJ+PHj+fNmzckJCSAXZmtUqUK3bp1o1evXnz++efkzJkTgLdv3xIREcGoUaN49OgRt2/fdpCtoaHhiFTeGjRoQM+ePZk9ezaxsbHExsaCfWBpyJAhBAUFMXr0aBITE3n06BG9e/cmNDRULuPz589n+fLlADx//pzBgwcTFBTEyJEj5U8y7ty5k5kzZ/Lbb78RGBjI69evQaWMSkgKbMOGDenatSv9+vWjQYMGJCUl8eWXX7Jv3z66dOnCDz/8QFpaGr/++ivBwcG0bdtWXoVksVj4+uuv2bNnD5MnT6ZJkyYcOHAAm82GTqcjPj6eadOm0bBhQ4YNG8arV6/Q6XS8evWK/v3707BhQ0aNGkVkZKQcL3U8NTQ0NP6d0RRdjY8WSblFsZTsu+++IzQ0lB07doBqtF1n/470kydPCAkJ4fTp01SuXBkvLy8ADh8+jI+PD61ataJIkSIcO3ZMDkuv1xMdHc3q1atZuXIlf/zxBxaLBZ1qNnfOnDl4eHjQr18/sMcLe1yNRqPsrnDhwoSHh2M0GmncuLE8ozhlyhRSUlJkRVlCrVBr/DNNdPZZkTt37rB27VpWrlzJrVu3wL5kPFu2bIwbN47r16+ze/du3N3dHTp7FouF8uXLM3DgQGbMmEFSUhIGgwGbzYa7uzu7d+9mzJgx1KtXj6JFi/L48WPZb2bo9Xpev35NWFgYO3fupGLFihQoUADs36+7evUqGzduZNWqVQ7yNmzYQJEiRRg9ejTJyclcvnxZIVVDQ0ON1A6Eh4dz7949li9fToUKFShdujTR0dHMnj0bd3d3AgMD2b17N+PGjcPf3589e/Zw9uxZsK/C+PXXXzEajbx79442bdoQHR1NixYtuHjxIuPGjQMgJCSEiRMnsmbNGnlwCnsdpJ4pleL15s0bwsPDefjwISkpKSQkJLBkyRIGDRpEXFwcOp2OFStW8McffxAUFETevHnp3bs3t2/fxmq1smrVKrp3787Lly8JCAigffv2HD16FIABAwawcuVKGjZsSGJiInPnziUyMpJ27drx7t072rdvz7lz5/jqq6/keEptkoaGhsZ/BEJD4yOlR48eokWLFkIIIV68eCEAcfHiRfHVV1+JTz75RFitVlG6dGkxc+ZMIYQQY8eOFe7u7qJBgwbC29tbtGrVSsTExMjy6tevL/r27SuEEGLmzJmiSJEiwmKxCCGEmDt3rtDr9aJYsWKiUKFCIjg4WCQlJQkhhLDZbHIcKleuLE6dOiViYmIEIHbv3i2EEGL8+PHCw8NDdO/eXQwcOFCULFlS+Pj4iKioKBEXFydat24tsmbNKnQ6nRg7dqwcJ5vNJsvXcI7JZBKtWrUS7u7uIiAgQBQoUEBMnz5dCCHE2rVrhZ+fnwgLCxM9e/YUgYGBIjo6WjRr1kxcvnxZCCHEgAEDRMOGDcWDBw9EQECAmDNnjrh9+7aoX7++yMjIEFOnThU5cuQQN2/eFFarVYg/yZfo6Gjh5eUlypcvL+rUqSNcXV3Fp59+KqKiooQQQpQvX154eXmJYsWKCX9/fzF16lQhhBAZGRmiUaNGok+fPkIIIX744QdRuXJlYTabHeRraGj8k4SEBJEtWzZRpkwZUbduXeHh4SFKlSolXr58KYQQIjk5WaSmporY2FjRp08fUapUKSGEEKNGjRKffvqpyMjIEAcPHhRFixYVDx8+FKtWrRK+vr7i1q1bIjExUUyfPl1kz55dxMbGitGjRws3Nzdx5coVIRT1gPInkZycLPLlyydy5swp/Pz8RO7cucWMGTPEu3fvBCDat28v1ycpKSnCZDKJtLQ0cfnyZVG0aFExc+ZMYTabhaenpxg0aJAQQoj4+Hjh5eUlfvvtN3Hjxg1RoEABsWnTJiGEEEajUcTGxspt1507d0R8fLxYunSpyJMnj7hw4YIct8zqLg0NDY1/N7QZXY2PCuXMpnoEHftM2tdff01KSgrLly/HxcVFtjOZTJQtW5YjR47QqVMnbty4Ie/BvHr1Knfu3OH58+f88ssvXL58mTdv3rB161bZb6lSpbhz5w6PHj1iz549ZM2a1SEOU6ZMwWKx4OXlJe8HDQsLIzo6mu+//55p06aRN29ecufOTbly5bDZbFitVsaMGSPvJf3tt9/Ytm0bS5YskeONNqPrFGWamEwmunbtysOHD3nx4gVjx451cKvX6xk/fjyhoaGsWLECDw8Phxlhs9lMqVKl6NOnD4sWLeL+/fu4urpiMpno27cv1apVo1KlSvTo0YNr1645LFUUigNoJHnp6en8+OOPnDt3jj179hAZGcn69evBfnhO3759efLkCY8ePeLbb78F4Nq1a1y4cAGz2czPP//MvXv3uHnzpnygmRSWhoaGIyaTie+//56zZ8+yb98+hBD8+uuvAOzdu5emTZvi6+vL6tWr5a0snTt3JjQ0lMuXL7Nu3To++eQTSpYsSVxcHNHR0VSrVg0fHx8mTJiAh4cHBoOBjIwMAgMDqVChAijaIKkuUK/wMZvNtG/fnkmTJjFp0iSCg4PlQ/H69u0rr0h68+YN33//PeXKlaNmzZo8f/5c3p9vtVqpXLmyHJ6Liws6nY6YmBgMBoMcF3d3d3LlykVKSgovXrygRo0a+Pr68uWXX2KxWOQ4aXWIhobGfxKaoqvxUSJ1MNSNtsViwd/fn0GDBjFr1izCw8MdlF29Xo+bmxvfffcdbm5uzJ49G4Bz587J+3r37t1LbGwsQgjOnTsn+3NxccHT01Pe96tUss1mMyaTCXd3d8aOHcuUKVMAWLduHX/88Qeenp6MHj2aOXPm8NNPP6HX6+natSspKSkcPXqUYcOGUa1aNYYNG0bTpk35/fffiYyMfE+R13gfKY08PDxwcXHB1dXVIc+xd4TLlClDv379WLZsGTExMXInU3qHhBCMGjUKDw8P+cRji8VCgQIF2LlzJ1euXCE0NJQff/xR7oQqD4uS5EhKr7u7OwCBgYGULVuWmzdvyu48PDzAHmdpn/nhw4dxc3PjxYsX7N+/n6ioKLJkycK2bdsc5GtoaPwTqR2QyltQUBDVqlXj1q1bnD17lgkTJjBo0CCeP39O7969MRqNsvIYHBzMxIkTefjwIZ06dQK7YlmwYEGuXbvG7du3uXfvHhcvXiR79uyg2CYjhW2xWBy2pUhIA2gtWrRg8ODBjBw5kgoVKsiDq8rBscWLF7N+/Xp27drFmTNnKFasGEJxEKGkHKNo+1xdXbFYLMTExMh22NuiIkWKcPnyZW7fvk1YWBihoaEOyrKGhobGfwqaoqvxUaFU/KxWqzxSrVYIe/fujRCC5ORkuWE3m81y56JIkSIEBQVx8OBBHj16xLx58+jRowcnT57kwoULnDp1ilGjRrFv3z5ZKYqNjWX79u1s376dbdu28eDBA7mT5eLiwurVqwkJCeH48ePyYSJTp07liy++4MaNG1y8eJHw8HC++eYbzp07R/fu3cmZMyfZsmXj5MmTvH79mtDQUK5cuULx4sXx9fWVn0f9fBr/TBOp43fv3j127drFjh072LFjh9z5VHZMhw0bRlpaGufPn5dndqSZdavVSpYsWfjqq684c+YMRqMRg8HA8ePHOXToEAEBARQtWhSz2YyrqyurVq1i7NixCMVecRSH41y8eJH9+/ezcuVKLly4QM2aNcG+RzcsLIw9e/awZcsWDh48yKtXr1i8eDGDBg3i3Llz8h7yzz//nOPHj/PmzRt0qhNXNTQ0/sn58+fZv38/q1ev5tChQzRv3pyEhASMRiOFCxfGZrNx9epVDAYDQgjc3NyoVKkSISEhpKenExgYCEDp0qWJjY3l6tWrFChQACEEBw8eBHubo169sXDhQn788Ud0qv2vQghZqZXulSjvU1NTyZYtG6VLl+b+/fu8evUKm/3AKaXCiz0OGRkZVKxYkaxZs/LTTz8RHh7OwoUL+fnnn2nYsCEJCQns2bOHggULkpqaSkhIiDygpqyrNDQ0NP7d0WosjY8KZYPv5+dH0aJFwd7hCAgIIGvWrAAUKFCAiRMnUqpUKfLlywf2A6CKFy8u++/fvz+enp48ePAAHx8f+vTpA4owhg4diqurK3Fxcfj7++Pr68vcuXOZO3cuc+bM4dq1a7IsQJ5NdHV1xdPTk9KlS8uzACEhIYwYMYLOnTuzb98+Vq5cSa1atfDx8WHy5Mk8ePCA9u3b079/fwICAvj5558dOiTaASIfpkyZMiQmJjJnzhx+/fVX5s2bR0xMDHny5CEgIABPT08AChUqxIwZMyhXrpxsVqBAAQoXLiynd7du3fj8889lfxEREUybNo3mzZsTHx/PN998g16v5+zZs5w7d+69jqPBYKBmzZocO3aMGTNmsHr1asaMGSO/XxUqVODdu3fMmjWLuXPnsnz5ch4/fkzJkiVp2rQpKN7BPn36YDAY5NNdJXN1p1lD42NFr9dTtWpVzp49y88//8yiRYvo1asXw4cPp1mzZnTq1ImhQ4cycOBAXF1dKVOmjDxINnjwYDw9Palfvz4FCxYEoGXLlnLZbN68Ob179yY8PBwUbY5U5q1WK6dOneL69eugGnwzGAx8+umnZMuWzcHO3d2dkiVL4u3tjcSIESPImzcv9evXZ8uWLZQvX15ut8qXL0/u3LnB3saULVuWHDlykDNnTmbNmkV8fDwdO3ZkwYIF+Pn50bhxY+bPn8/69etp2rQpX375Jffu3ZNXuUgDgxoaGhr/CeiE1uPR+IiQXnedTkdaWhp6vR4PDw9MJhNJSUnkzp1bbsjVRcNqtSLss68S8fHxeHl5kZqaio+PDzabDb1eL//Hx8fLy5WVI+vS7JqyY6NEp9PJM4Kurq4IIYiIiJCV5mzZsjl0ONLT03n27BlZs2alcOHCshylXK1z4oiUH3r7ydrK/EFx4nZCQoL8nVopX5Vpn5ycDIC3t/d7+Yg93ePj43n9+jUlS5bE3d2d8PBwGjduzKhRo/jyyy9lt5JcaTZGCk/9nqjfJYDo6Gjy5s3rEDdhX5Xg6ekpz0Ar7TU0PmaU5VW5nFg5+GSxWHjy5Al58+Yle/bsGI1G+dNj4eHhfPrpp/z+++9069ZN9gMQFxfH69evyZ07t3xiurRFJUuWLGD/NntQUBCrV6+mZcuWDvHR2b/NLuxKr05xMnN6ero8MCqZpaWl8ezZM8qUKUNqaipZsmTBYDBgMpnQ27fOYN/jbzAYcHNzk+umt2/fkj9/frmewx7/N2/ekCdPHvLmzQuq9lNDQ0PjPwFN0dXQ0NDIhH+VUnj69Gl27tzJnDlzZAUUrQOpofEfxciRIzly5AgXL14kZ86cf7u+2LJlCw8fPuT777//W/7+1fzd59DQ0ND4d0VTdDU0NDT+xUgztEqUs67Kew0Njf8MLly4QFpaGkFBQfA3FUT1you/6k9DQ0ND46+jKboaGhoa/wdInVn18kT1vYaGxn8e/9MBK/Ug2N/1r6GhoaGROdphVBoaGhr/B6g7s5KSq3VsNTT+MxGqff1/B8mvVP6lOkFDQ0ND4/8dmqKroaGh8S9G6tRKnWL1tdbB1dD4z8XZao0/Q13m/45fDQ0NDY2/hqboanzUKJUNtbnaTM2f2eNEwfkznLlz5l9tltn1h8w0PpwuH7L7q0j5pJytka6dzeCo8/VD5s7yXG2mfVZKQ+Ov4ax8/Vm5U5ZjoTrBXY2zMqquBzLzK6G2U8t09p+Zn8xQ+vkztxLqcNT3mZFZOOp7qR7LLG5q90qU7tV+PuRP4kPu1PIyQx1vtVulmc1mc+rWmR9n5hoaGo5oiq7GR4nNZsNqtTo0KhaLRb6WOh9ms1l2Y7VaMZvNmM1mLBaLQ+dEkon9M0TKe6kTZLFYHPwrw5bcSzKluCn9Yw9LClvt32QyOY2XJEPDEWWa2mw2TCaTnDcmk0m2V+aF2kzKA+W7I+ydE4vFAor8U/8kpLxR5pHVasVkMsnxUNop3yHpWpIpvRfSe6Dlu4ZG5kjlxmQyOZhJdTj2cmm1Wh3MrFYrFosFi8UimyvLubLOV8ux2WzvlWFl3S/9q8NU1gNSHKVwlPbKe6Vf6V6SYTabycjIcGivlGFI8jNDcq+Uq35+ZRv14sUL1q9fj9ls5ubNm+zevZu0tDSV1H8+h9KvOm2ka6leTkpK4vnz5w5hqp9fmXZqO0mOGsmdsOel1DYo8+xDYSrN1Hmjdo/i83Xq55Xir/YjmWtoaGSOpuhqfHRIjcP06dOZMGECOp2OmJgYAgMDGTNmjIPbPn36sHXrVnQ6HcuXL6dBgwa0aNGCZs2aMW7cOJKTk+UGSK/Xc+rUKWrVqsXy5csdvsW4c+dOGjVqRIsWLWjevDlNmzZlx44dDo2XXq/HarWyYMECGjVqxNGjR0ER34SEBCZPnkxwcDCRkZHytxUvXbpE69atadq0KbVr12bfvn2gKbd/CZ1Oh8Vi4bvvviMwMJAWLVoQHBxMmzZtePPmDbdu3aJJkyZMmTJFVh6NRiPjx4/nwYMH6PV6VqxYQb169Th27Jgs8969e4wZM4bU1FRQDGL8WZ7odDoSExMJDg4mODiYJk2a0LVrV86ePSv7HTRokPwuNWvWjB49evDs2TPZ/vTp01SrVo0NGzb8aXgaGh8zOvs3aZs3b865c+cAWL16NTVr1mTXrl1y+Xny5Alff/01VquV5ORkRowYQcOGDWnWrBnNmjVj586dsjypTp85cyZNmjThyZMncnhSXaNsC5o3b86bN29kNwDXr1+nXr16fPPNNw7KLvbv27Zt25a2bdvy9OlTOTw+oPiozZYsWUKjRo1o3rw5wcHBXLx40aG9+vbbb2nQoAHh4eEO/tQ4U7qksKRr6f7atWv069cPs9nMrl27GD9+PLGxsbJbtTy1mfSv0+l4/PgxT58+leN88uRJ6tevz+vXr2Uz9TMr/SvDkcwyQ6fTceDAARo2bCjnV4cOHbh58yY4SXOpPZf8qp9DnS7KdHP2TXfJXp3W6nTR0NBwjqboanxUKBule/fucefOHQDS0tI4e/YsCxcu5MCBA7L7kJAQXrx4AUBYWBhv3rxh6NChNGzYkOXLlzN+/HiwN142m401a9Zw8+ZN1q9fT1xcnBzWs2fPePr0KQMHDmTw4MEMHjyYChUqyH51Oh2pqakMHz6c6dOnc+XKFSIiImT7qKgoatasyYYNG7hw4QLp6elyHHft2kXevHn58ssv8fT0pEePHsTExMj2WkP4YYQQ3LhxA51Ox+DBgxk4cCD9+vUjT5483L17l1OnTjF16lSuXr0K9pmQW7dukZSUBEBoaCgXL15k6tSpsllKSgrXr1/HbDYDYDAY4E86VBIWi4Vjx45Ru3ZthgwZwtu3b+nbty8vX74E+zvp7e3N0KFDGThwID169CB37txgV6gnT57MvXv3WL9+vcNMlYaGxvtYLBbOnj1LVFQU2MvX1atXmTBhAomJiQAkJCRw48YNeTb28uXL+Pj4MGrUKLy9venatavcbkj19Zw5czh16hS///67HJbVauXGjRukpKTI5XfQoEHkyJFDdgPw7t07Lly4wJw5czh+/LiD3YEDB9i3bx/nzp2TFWS1cqdUppRmAJcvX+bHH3+kWrVqDB8+nPz58xMaGiq7effuHdu3b+fSpUvMnz/fHur76PV6efZRkq1sa5TmkntXV1f0ej1ubm64uLi8Vx9KfpTKn/o5ANq3b8+CBQvk++LFi9OlSxe5HlS6lfwqZ82V8VbLViKZv379mqtXr9K6dWuGDx9O3759KVCgAChk/ZlMpZn6X4navzJvnbnX0ND4MJqiq/HR4uLiIjciwj6j6uPjw88//0x8fDwAbm5uuLq6gl1ZyZs3L23atGHixIm0b9+ea9euycuvoqOjOXr0KNOmTePy5cs8ffpUDkuv15M7d246duxIx44d6dSpE6VLl3YYmU1LS6NWrVosWLCAnDlzOnQazGYzgwcPZubMmQ7KOsC4ceNYvHgxnTt3ZsyYMRiNRk3B+Rvo7B2rcuXK0b59ezmP3N3dsdls5M6dGz8/PyZPnkxGRgYGg8Fh9gMgb968hISEsGrVKtlM6W7t2rUEBgbStm1bbt++/cEOi87eaapevTqdO3fm22+/5fXr1yQkJIC9Y16xYkXatGnD559/TqtWrciePTvYO2QvXrxg4sSJPHr0SO7AamhoZI5er5cHo2w2G35+fsTHxzNr1ixQtRVSffHpp5/SokULfv/9d4oXLy6vwAE4fvw4xYsXp1u3bty8eVMeAJOUoRIlStCmTRs6depEp06dyJo1q0N9L8WnWrVqbN68WQ4XYOnSpXzyySf4+fnh6urKzz//zM8//yzP/L58+ZJevXrx6tUrLBYLGzZsoGnTpnTu3Jn79+/z4MEDYmNj6dmzJ+3atWPVqlUMGDBADnv79u3ky5ePPn36cObMmUzbkujoaMaPH0/9+vUZN24cMTEx6HQ6nj59Sq9evWjcuDH9+/d3aAfV9Z6UplevXqVDhw4EBgby3XffOQzk7t+/nxYtWtC+fXtu377NihUruHfvHjt27CA4OJjQ0FBsNhsJCQm4uLgAcPPmTT7//HMCAwMZNGgQL1++xGAwcOjQIb755hv++OMPmjVrxuDBg+UBRGdIeaLX6/H29iY4OFieTc+XLx9Xr17lm2++YcOGDQQGBhIWFsbdu3cZPXo0jRo1on///vJqm7t37zJu3Dh2795Nq1at6NmzJ48fP5bT5P79+/Tq1YugoCAWLVokD5JKz9m8eXO2bdvmoABrg9gaGn+OpuhqfJRIjYWy4bXZbHz//fdcv36dLVu2yPZqhTMxMZG7d+9y9uxZ6tSpg5eXFwDnzp0jb968NG/enCJFinDhwgXZn06nIyIignnz5jF37lwOHz783nJWX19fevToQeHChR0UYICCBQsycuRIsmXL5rCfSFLEpAY+JiYGIYR8r5E5yrx3cXHhxo0b/P7778yfP5/r16+DvaMjzZ5evnyZbdu24ebmBopOms1mo0yZMvTp04effvqJ+Ph4uUPr5ubGli1bGDt2LGXLliV37txERkbK4TpDyvu0tDRev37Nvn37KF26NPny5QP74MuFCxdYtGgRc+fO5eXLl/Kz7Ny5kxIlSjB8+HBSUlK4ffu2SrqGhoYaZT1ssVgoX748vXr1YsGCBTx69Ege7JTKvF6vJzExkdTUVI4cOcLLly/p0qWLLG///v2UK1eOr776ipCQEO7fvy/bGQwGwsLCWLhwIfPmzSMsLOy99shms5E1a1Z69uzJ9u3bZWXsjz/+4O3bt3Tr1g2j0Yherydv3rzMmDFDXgF08+ZNdu3ahaenJ9999x0jRoygUKFCeHp6MmDAAGrWrEmhQoUYPHgwR48eRW+faZW4evUqhQoVokePHkRHR8t1oZKkpCRatmzJ1q1b+fTTT7l69SqbN2/m0aNHNGnShHfv3lGmTBnOnj1Lx44d39trLA3Wurm5cefOHbp06YKrqysVK1Zk9+7dTJs2DYBp06bRqVMnfHx8yJEjBxMmTECv1+Pp6Ym3tzf58+fH09OTR48esXbtWvR6PVevXqVly5akpaVRtmxZ9u/fT58+fQC4ceMGM2fOZNy4cRQrVoyjR4/SvXt3uU1VK45Sfgj7nujY2Fji4uLkFVP3799n5syZTJo0idKlSxMfH8/kyZOJiYmhQoUKXL58mUGDBoF9+fusWbMYMWIEhQsX5vz58/Ts2ZO0tDSuXLlCnTp1eP36NZ988gmLFy/mzp077Ny5k1GjRlG0aFEKFizIqFGj2L9/PzrVDLWGhsYHEBoaHyk9evQQLVq0EEII8eLFCwGIkJAQ8eWXX4rixYuLjIwMUbp0aTFz5kwhhBBjxowRWbNmFU2aNBF58+YVzZo1E/Hx8bK8oKAg0bt3byGEELNmzRKFChUSJpNJCCHEvHnzBCC8vb2Fp6enCAoKEikpKUIIIWw2m7DZbLKcS5cuifz584tVq1bJZhJHjhwRnp6e4sWLF7KZ5DcyMlIUL15ctGjRQpjNZgc7pXyNfyCliclkEm3atBGAyJYtm3BzcxNTpkwRQgixbt064efnJ8LCwkSXLl1E3bp1RUREhGjWrJm4dOmSEEKIgQMHisDAQHH79m1RsGBB8fPPP4tbt26J+vXrC6PRKKZPny5y5colHjx48F7Y0rXyHYiOjhYeHh7is88+E7Vq1RJ6vV5Ur15dRERECCGEqFChggBEjhw5hIeHh5g9e7YQQoj09HTRoEED0a9fPyGEEJMnTxYVKlQQRqNRDkto74KGhgNJSUnC3d1d7Nq1Swh7u9CwYUPx4sULUbRoUfHNN9+IW7duiXr16gmTySRiY2NF9erVhb+/v6hatapwdXUV06ZNk+Xdv39fFCtWTGzfvl2YzWZRuXJlMWLECCGEEGlpaQ51jbu7u9y+KOuAAwcOCC8vL3HhwgVRokQJ8d133wkhhOjXr58IDAwUx48fF/7+/uLChQvi9evXIleuXGL16tVCCCEaN24shg4dKsLDw0VAQIActs1mE0+ePBFCCHHu3DlRu3ZtkTVrVtGhQwfx6tUrIYQQDx8+FNmzZxfnz58XQghRrlw5MWbMGKFm9+7dwsPDQ3aXkJAgEhISxLhx44Sfn59IT08XQghx+fJlkS1bNrFt2zZx6NAhkTVrVpGWliamTJkiPvnkExEZGSkmTpwoatWqJaKiooTZbBaTJk0S+fLlE7GxsaJIkSJi8ODBcrjPnj0TJpNJlCpVSgwfPlw237Rpk/Dy8hJCCNGzZ09Ru3ZtkZSUJIQQ4ujRowIQt2/fFjNmzBDZsmUTFy5cEEIIMWXKFFGuXDkRExMjyxL2tLJarXJ+LFu2TACiWLFiokSJEqJevXri3bt3YsOGDQIQZ8+eFUIIYbVaRUREhDAajcJsNovffvtN5MiRQ6Snp4u9e/cKd3d3cfDgQSGEEIcOHRKAePHihRg5cqQoWrSo3J94/fq1iIyMFPXq1RODBg0SaWlpIjU1VTRo0EB06NBBEVMNDY0/Q5vR1dBQ4OrqyldffUVaWhpr1qxx2EdksVgoVqwYa9asoUWLFty/f19eYnXjxg1u3brF27dvWbJkCTdu3ODt27fyISUZGRmULl2ahw8f8vjxY7Zu3YqXl5fDCLJymZRy1lZp5+xaZz9QZeTIkdhsNubOneswo6sepdb4B8rRcJPJRNeuXXn8+DHPnz9n1KhRYE87YV/WPn78eO7evcv69evx8PCQ/dpsNjIyMihfvjy9e/dmxYoVPHz4EFdXV0wmE3379qV69eqULVuWLl26cPfu3fdG4tV5ZDabGTlyJPv372fPnj28fPmS1atXg32J+8CBA3ny5AnPnj1j+PDhYN8rfPnyZfR6Pb///juPHz/mzp07XLlyRQ5DHY6GxseOulzo7Kcj+/n5MWHCBNasWUNISIi8kgN7me/UqRMzZ86kWLFiPHnyRJZx6dIlnj59yr179/j999/JmTMnmzdvJiMjA51OR0ZGBs2bN+fp06c8ffqUIUOGyHKV8TCbzZQrV46aNWvyxx9/EBYWxvbt2/n2229xcXFB2E+L9vPzo1WrVixdupRnz55x69YtmjZtislkIiUlhfLly8syixUrhhCCOnXqcO7cOdatW8fVq1cZMWIEAEeOHCExMZHDhw8zb948smfPztatW+VDoyTS09Nxc3OjUqVKAGTPnp3s2bMTHR2Nt7e3XD9WrlyZHDlyEB0djYuLi8MspM5+sN+bN28IDQ2lRo0alC5dmgULFsgrlywWC76+vnK4RYsWlZ9dfaK1lI+PHz/G398fb29vAMqVK0eBAgW4c+cOZrMZf39/atasCfbVMQaDwWm9qKyjbTYbnp6efPHFF3z99dcMHDiQfPnyYbFYcHNzo3jx4mBvu0NDQ2ndujXFixdn6tSp6OwHHtpsNnLlykXJkiUByJEjh7xcPjU1lezZs5MjRw6EEPj5+ZGenk5UVBTbt2+nbNmyVKhQgYsXL5IlSxY5Xs7iraGh4Yim6GpoKDCbzZQsWZJ+/foxe/ZswsPDHfZuubq6kj9/fr777jsMBgNz584F4OzZsyQkJODh4cG+fftIS0vDYDBw8uRJWbbk18/Pj1y5cqFTLJcTin23esUhH2qkvWLKzkJGRgajR4/m3r17/PHHH5QoUQJUjaAzWR87yvQRQpA9e3by5MlDgQIFyJo1q2yu0+kwmUxUrFiRnj17smDBAvnUa1TL20aPHo3BYGDBggXo7MvL8ubNy44dOzh58iTXr19n4sSJ8r436VRmZf5I/nx8fMiVKxeNGzemTJkyhIWFyeFkz54dHx8f8ufPL3fAjxw5QtasWXnz5g2HDx8mKSmJnDlzvncirCRDQ0PjfaSyYTab6dWrF/7+/ixatAir1SrvixT2LQ0NGjRgypQprF27lkuXLgGwYsUKypUrx5UrVzh+/Lis4O3Zswd3d3eEEHh5ecl7/7NkySLXM8ryKYTAaDQyevRoHj16xLhx4yhXrhzVqlV779M/7du3JzY2lmHDhpE/f34aNmyIEAI3NzdSUlLAXv5TU1PJyMjAbDaj0+lo164dvXv35sKFC6SkpLBlyxbKlCnDnTt3OH78OB4eHsTGxjps5UCxP1S5l9Zms+Hi4uKggEZGRpKeno6Xl5fD55CkuEsDyVWqVOHgwYPs3LmTixcvcvLkSbkOVmKxf87JbDa/N5grtYsGg8EhDunp6URERODv7//eILIUD+k/NTUVs/1zbcr0FUKQNWtWvvjiCwYPHkz37t1lc6W7hw8fMmTIEJo1a8bJkycZPXo0Fvun56S0k1DGw2AwyPdKeTqdjs8//5yjR4+ya9cubt26xZw5c8BJ2BoaGs7RFF2Njxar4juF6kZowIABpKamkpycLNtJDRZAkSJFqFu3Lrt37+b+/fv8+uuvdO3alb1793Lo0CH27NnDwIED2bNnD1FRUbi5uREVFcXKlStZuXIly5cv59atW2BvzPT2vV+nTp1i27ZtpKSkcOLECXbv3o3NZiMlJYWNGzdy6NAhjEYjGzdu5PLly2Dfx7R06VKCgoK4evUqy5Yt4/r163KnAifPp/E+t27dYvXq1XIepaeno7PP7kjpN3ToUJKTk7l48aK8r03Y929ZrVZy5MjB0KFDOXfuHEajEYPBwJkzZ9i7dy/Vq1encOHC6Ox701asWMGoUaNk2VKnReoQHjt2jE2bNvHbb79x4cIFKleuDPbO4fXr11m3bh0rVqxgy5YtPHv2jN9//51+/fpx8OBBDh48yL59+2jdujUHDx7k1atXclyVYWloaPxD6ZAUDUmZkgY2x44dy927d3nz5o1cT0vKFkDNmjUpVqwYCxYsIDQ0lJCQEKZMmcKBAwc4cOAAhw8fxs/Pj82bN5OamorBYODhw4esW7eOlStXsmLFCvmgOWV8pHqnVKlSFC9enEOHDtGgQQO8vb0xmUxyHAFatmyJTqfj8OHDNG/enKxZs1K8eHEqVKjA4sWLefjwITt37uTLL79k48aNjBgxgo0bN7JixQq2bdtGtWrVuHTpEvfu3WPy5Mns3buXAwcOsH37dsqUKcOyZctAUW98+umn+Pr6Mnr0aMLDw/nhhx/Yvn07tWvXJiEhQW73Jk2aRM6cOQkODiYjI0P+LriUxi4uLtSuXZsrV64QHh5OxYoVSU1N5dy5c3h4eFC3bl3279/PtWvXOHToEGPHjsVkMlG9enUuX75MaGgoUVFR6PV6WUH9/PPPOXPmDBs2bODdu3dMnz6dkiVLUrlyZTl8CZPJJCvoL1++pH///ty9e1dW5CWEffZc3V+QzKX7yMhIXr16hb+/P4UKFeLMmTMIhRKuzDPpXqfT0bBhQyIjI1m9ejXPnz9n6NChxMTEUKlSJU6ePImbmxvly5cnLCxM/lKEMh4aGhqZoym6Gh8tfn5+FC5cGOwjqsrlTv7+/vz444+UKlVKPgSoUKFC8hIl7Mqwl5cXz549I2fOnPTq1QsUI7WjR4/G3d2duLg4ChYsSJ48eViyZAlLlixh8eLF7x0UFBcXx4oVK+RZ2bt377JgwQJevnxJUlISc+fO5fTp01SsWJFt27Yxe/ZsXrx4wfPnzylfvjwXLlxg7ty5LFiwgMOHDzvI1ngfqdOm0+koVaoUKSkpLFy4kMWLF7N06VKio6Px9fWlaNGi8lK8EiVKsHjxYsqVKyeb5cmTh0KFCsnyBgwYQNeuXQkICMDDw4MHDx7w/fffU7duXeLi4hg6dCgoPmMidYKkTou7uzs1a9bk7NmzzJ07lw0bNjBx4kRGjhwJQKVKlYiJiWHBggUsXLiQdevW8ezZMwICAggMDETJsGHD0Ov1sqKroaHhiF6vp0KFCvLJ5YULF5Zn/wA6dOjAmDFjKF68ODqdDhcXF4oUKULevHnBflBgt27dSE9P5+zZs9SsWZOKFSvK8nU6Hb169SI5OZmEhATKlCmDTqdjwYIFclsgKbpSHZIjRw4qVqyIwWDA3d2dfv368cknn/DFF18AkC1bNooWLSq3V3q9nm7dugHQpk0bWdbs2bPJkycPHTp0YPz48Xz22WcUKVKEc+fOMW7cOCZNmkSBAgX4/fffefnyJRUqVKBBgwZgb8dy5sxJly5d3lPySpYsyZgxYzhz5gxt27Zly5Yt5MuXj169ejF06FC++eYbWrduzYULF1i+fDl58uTBy8uLSpUq4eLiQt68eeVBv759+/LVV18xduxYGjRowJAhQ+Rv1P7444+4u7vTq1cvxo4di8FgwMvLi6+//pqYmBi6d+/OhQsXyJ07N5UqVcJisTBkyBAGDBggf3P+9u3brFu3jixZspAnTx6KFSuGhNQHcHd3Jzw8nEOHDslfUUCVHyVLlnTYsgLg7e1NhQoV5EHP2rVrM3z4cMaPH0+LFi2IioqiUqVK6HQ6vLy8KFmyJJ6engB4eHhQvnx5dPZZ2zZt2vDTTz/x+eefExYWRqFChZg3bx5FixalQ4cO1K9fn59++om3b9+CNlipofGX0QltSEjjI0I5o5WamorefoJjRkYGsbGxFChQAJvqNGTJn/RTLmVOTEzE09OT5ORkfH19HUZYdTod0dHRZMmSRT6ZWeM/BykvY2JiHPaJqZG+tSl1lJ0RFxfHw4cPqVSpEp6enrx9+5YmTZowaNAghg8fjs1mkzvW/xNsNhsRERHytx0lhBAkJSXh5eWFq6ur/A7/b8LS0PhvQSrjQrF02Gw2k56eTrZs2RzslNdJSUl4enrKS29tNhtRUVHkyZOHqKgo8uXL5+DPZDKRlJQkf+f1zxD2VSIGg0GOU1paGt7e3rLMhIQE+TN0Op2OH3/8kc2bN3Pp0iV5r6dOpyMtLY0HDx7g6+uLv78/2Get7927h06nk/fwpqenY7FYZOVZ8m+z2Xj37h1+fn4OzwQQFRXFixcvKFeunEMb9/LlS6Kjo/nkk09kxc5ms8ntp9VqJSEhAR8fH1lmdHQ0T58+pXDhwuTPn98hrNu3b5M7d26H+i0qKoqYmBhKlCgh79uV8hDgxYsXREVFyXGT8tpoNOLh4YHOPriYlJRE9uzZmTJlCvv37+fkyZN4e3s7hC+lv/ROYG/fpVlqKc2wp1tYWBje3t4ULlwYq33Ju9VqlWVI+Ws2m+X0AQgPDyctLY0yZcrIZgCPHj0iMTGRMmXKOF3SraGhkTmaoqvx0SE1YOpGW7KT/jNTBiRFWHKjlKdsbJVF60PyNP69UOab+v1QosxvPuBWkqe0P3/+PDt37uSXX37Bzc3NqZsP4aza/jt+/6pbDY2PCWXZUNcD6nLzofreGc7cOCuH6nCUZGZnNBopXbo0w4YNY8yYMXIbhSoMdZwlM6U7adBNcqf8d/a86udyFj91GMrnUD+TMjylH8lOQh1/NcrnUcbZ2b/RaGTAgAEMGTJEPqiKTOItofSvRG2mfh6lmc4+kKBcKq2On9D6Dhoa/ys0RVfjo0Pd8KgbRMmN1LgoGy51cVHLcXatRN0oavz7oXwPJNT3Euo8duZO7cZZx0X9Lv4Zmb1nzvyrwycTdxoaGv8oL87KqGSnVEAyay+UqN1L9x8qg8pwlGHgpJ0BiI+P5+LFi1SsWBE/Pz8H9xLSvfK5hBDYbDYMipOHlfFSylDGx5m58p5M6rQ/U+okf5IbZzLUbpyF7+xep/j27IfiqParNPtQuJKZM5Ru1emRmR8lUrgaGhp/H03R1fjokBok6SAIdQdF2TCq/UkoGy6hWNKsbgDVjZtapsa/H1J+qjtkapTvg5Tvztyh6OBl1rHJ7J3LDOX7pfTjzL/6GdT3Ghoa/8BZuVKWG8lcKs/OUJdJyQxFOc/ML07cKs2dxUl5jxNlUrJ35lZ6JilOanfqa2fPhl2OUgGUlus6kyEhKdjK+CrlKFH7dXaP4nmU8tTPq1PNSKsVfTU6e35L15JftbkzlOmmzHMpLKUsZzh7hszcamhoOCfz2lZD478UZcPzoUZD2fApG0hUI7E6hbKs9Kd0n1kjqvHvibPOlhqpkyJdfwhlJxAn7v8sLDXO5KhlSkjvoTKMzNxqaHxMSG2BWqFQlg+lvVTPKwc1lW4kv+rypbO3EdL/n6GMhzpO6jDVcdWrBtTUcVHXA8q4Kc2ka+Wzqd1JKOtLZTpJSHKUfiU/SrfO/H3oXjJTp78Uljq+0k/pVjpzQ/KjtFOGofxXpr3andpMQh1HNZKd8jozWRoaGn8dbUZX46NC2ZgpGy01Sjtl46e2l9wozZWNlDP/6vsP8WfyPhQPjQ/zV/JAndZqP87MnPFX8+NDYUnmEsp3QTJXXmtoaPw56nL0oX81SnvlzKTavfL+Q9c4qZck2cpyLf7CihMlmYWnVoiluCv9/ZnsP8PZ80jmyjj83XCc+VOHxV9Im7+KMr4SasVcQ0Pj3w+tlGp8dEiNoVCMsCrNnV0rG0upQ2CznyKpdCc1vmpzyZ/y/q/gTI5yuVRmzyLhzEzjHyg7duo8k1B2aiT+rGMloX5v/iqZxUVC+T6p81/9jn1IjoaGhnNFSFl+lPWEEvW9pPTonCxpdVZmJXO1G6ksO4uDJEOp5Cr9ZobkXylXaS7FwZm7P5P9V9E5mf1Umv/dcNTpjyqd/18i5ackX5opVqeVhobGvx+aoqvxUaHsVEgNrGQmNV7SvVLJUbqX5ChHcyU7yUyfyX5MZZhqecrOkdJOiTIMdQdFGX+p8ZXstYbYOVJaocp/Zbo6ywtlOivdKP39T0f7ncmUwlLmKU7iIT2L0o2GhoZzlPWis/IslTmlG3W9rix3SveSG0mWZK+Ur3SjtNfr9U6X3Upu1GZKc2c4i7P0r2xPnMlW+vufotPpiImJ4fLly9hsNt6+fcudO3cwmUzoVMr2X0WKozLeztrG/w2SbGXboBzQkPh/EZaGhsa/hv9ZT0xD4z8UZUdjxYoV/PbbbwAkJSUxePBgtm7dKrvT6/VMmjSJI0eOoNPp2LVrF1988QVdunRhyJAhnDp1Sm7gJLn37t1j2LBhnDx50qFBPHbsGH379qVbt25069aNLl26cODAAdke+74vnU7HlStXGDp0KBcuXECnUICFEJw8eZJhw4YRGxsr+4uPj+eHH36gc+fODB48mCtXrsjPqIybhiNSuthsNhYtWsQXX3xB9+7d6d69Oz169ODNmzfExsYycuRI9u7dC/a8ysjIYN68eTx79gy9Xs/JkycZOHAgMTExspvnz58za9Ys0tLS/lba63Q6UlJSGD58OD169KBz584sX76c2NhYubM1ZcoUvvjiC7p27UqXLl0YOnQoL1++lP3fvHmTPn36cPXq1b8VtobGx4ZOpyM9PZ3Bgwdz48YNuf7t06cPYWFhcpl78eIFM2fOxGq1YjQamTFjhlw+J02aRGRkpINMvV7Pnj17GDJkiPydbZ1Oh8Vi4ffff6dnz5507dqVHj160K1bN96+fSuXVZ1Ox7Nnzxg8eDALFy5EpxrAMhqNTJs2jTFjxpCUlOTgLzOUdnq9ntu3b9OvXz86d+7Mjz/+SHx8vIOcXbt28eWXXxIfH6+Q8j9DknvhwgXat2+PyWRi06ZNDBo0iLi4OLXzv0RaWhoZGRlgl3/y5ElatmxJRkYGOtUAwP8GSdaZM2fo378/PXr0oEuXLvTr1487d+78PwtHQ0PjX4em6Gp8VCgbppMnT3L48GGwK4tLly5l2LBhPHr0SFZSN27cyM2bNwE4d+4cu3btQqfT8fTpU9q0acO6descGtZt27axcOFCVq1aJYcDcOvWLbZu3YrFYsFqtWKxWOTOi/RvMpnYsGEDDRo0YNGiRTx69AjsCrDRaKR///40bdqUNWvWkJKSIsv+9ttvOXv2LK6urpw7d47g4GASEhJke60x/jA2m42DBw9y8uRJbDYbZrMZq9WKm5sbp0+fZsGCBfTp00dWJk0mE4cOHSIqKgqAXbt2sXz5cr766itZZmRkJPv378doNMpmfxWj0cjSpUsJDw/H1dWVKVOm0KVLF7nDvHXrVkJCQgCwWq2YzWb5HQJYuHAha9askQdxNDQ0MsdkMrFixQqePXsGwPLly1mzZg1DhgyR3cTExHDgwAGEEKSnp7Nr1y4uX76Mm5sbR48epUqVKjx//lyua1NTUxk/fjyLFy9m2bJlshyLxcLhw4c5dOgQ2MO2Wq0OiizAgwcPWLp0KRMnTnxvwOr06dN89913rFixgjt37sj+lHWAGqmN0ul0vH79mu7du3P9+nXc3NzYsmULM2bMkN1hb1OWLFnCli1bVJL+55jNZlmxTUtLIz4+HovFonb2l+jSpQs///yzfO/q6oqLiwsmk8nB3f+27ZPS9P79+6xatYrY2FiEEA7t9/82DA0NjX8tmqKr8VGis5+2KJ24iH2kOyYmhvnz58tm7u7uDqcyli9fns2bN3Po0CFq1qzJkiVL5JHllJQU9uzZQ6dOnTh27Bj379+X5QghKF68ONu2bWPr1q3s2LGDli1bOsy2RkdHc+TIEcaPH0/u3LllvwAvX77k7du3/Pjjj+81rF999RWHDx9m48aN/PzzzyQmJpKeng6qvUUf6gh97NhsNlq3bs3mzZvZtm0bmzdvJk+ePJhMJjw8PEhNTWX58uVgf0+UywqlPDx48CCnT5+WZeoUy9yePHnC6tWr2b59u8MghDN0Oh1ms5kJEyawceNGpk+fzunTp3n+/DkAGRkZdO7cmc2bN7N9+3aWLVtG0aJFwd7BPnbsGI0bN+bu3bs8ffoUFB027R3Q0HBE3RYI+2qe27dvywqppCRiL/9CCL744gs2bNjAunXrMJvNDgqtpICWL1+e69evy+Y6+wqShg0bynXN1q1bKVCgADbVmQ/YBznPnDkj+8U+kFWsWDHy5s2LEIJr1645KMOpqakcOHBAHhh79uwZ69evZ+/evQghOHv2LC9evGDjxo1s2LCBY8eOMWDAADnMAwcO4O3tTb169di3b59srm5DLBYLly5dYsWKFZw9exar1Qr2dvDw4cOsXLmS48ePOwz2SfWhug5NSEhg165drF69mosXLzq0W+/evWPTpk3s3LmTxMRErl+/TkhICCEhIWzatIk3b95QsmRJevbsiYeHhxyHffv2sWrVKo4dO0ZaWhrY29EzZ84QFRXFunXrOHHihKwcq9MeRZoLIcidOzcLFy5k69atrF27lgoVKvDmzRvOnz/Pw4cP2bhxI7GxsSQnJxMSEsKKFSs4cuSI3D+IiYnhzJkzvH79mk2bNrF//36Sk5PlsJKTkzl06BBr164lLCxMNn/27BmbNm1iw4YNDvW5s/hqaGi8j6boamgoGrmRI0eyYsUKjh07JptLjZ2yI5KWlkZCQgI+Pj64ubkBcOXKFaKjoxk2bBheXl5cuHBBli/5efLkCU+ePCEmJkbuPEkyCxQowPr16wkODsbV1dWhsS9ZsiR//PEHNWrUkM0lSpcujYeHBxaLhStXruDj44OXlxcoRvqVz6HxD6T0kBTS+Ph4Xrx4wZMnT0hKSgJ7Z87Pz49hw4axbNkyzp8/j7u7u0O+mc1mGjRoQNWqVRk9ejRC8ckMFxcXbt68SfPmzdm9ezdLlixh27ZtchwkGeqOizKvoqKiKFKkCD4+PmDvJEZFRfH69WuePHniMLuwefNmvL29mTt3Li9evOD8+fOyHPV7o6Gh8T4ZGRk0btyY5s2bM27cOGJjYx0GRCWk8pSQkIDFYqFw4cKy3aJFiyhdujSzZs1i7969XL16FRTlPTExkZcvX/Ls2TOH5ccSQgi8vb3p06cPs2bNIjU1FYDbt2/z/Plz2rRpA/b6Zfv27QQHB/P27VsAQkJCaN++PampqWzfvp2GDRuyceNGZsyYQc+ePcmbNy86nY65c+fy7t07ChYsSIkSJeS47du3j2zZsvHNN99w7949rl27BiplXwjB119/Tfv27Tl69Ci9e/dm06ZNJCQk0LVrVwYPHszBgwfp0qULY8aMec+/lHaurq5ERUXRqVMnpk6dysGDB+nYsSPbt28H4OjRo1SqVIn169czZ84c+vXrx+bNm4mLi+Py5cv88MMPPH36lJCQEHr06AH2+rJVq1aMGDGCY8eO0blzZ8aNGwfA+vXradOmDe3atWPLli107tyZCRMmyPHLDJ19gEJZRwMcP36cunXr0qJFCyZPnsz58+fp168fQ4cO5fjx43Tp0kWWf/78eVq2bElgYCC7d++ma9eujBw5EuwrgJo1a8aECRPYuXMnrVq14uHDh9y4cYMmTZqwevVqNm7cSKtWrXj06JFDPqjjpKGh4Yim6GpoKA6PatOmDU2bNuWXX34BVePn7u7O3bt3adGiBTVr1iQjI4PJkyfLbn777Tdq165NvXr1aNeuHb///rvs183NjWfPntG8eXMaN25M//795c6LxIcaL8lOWqaqjFdERAQdO3akZs2a/PLLL4wdO5bs2bODomP1oUb8Y0VKG6vViqurK/v37ycoKIgGDRrIszM6+564Hj16ULBgQRYuXCjPDijT1GAwMGbMGB4/fsz27dtlZdjNzY19+/aRkpLC6tWr+eOPP/j8888dwpdkKeV5enoyadIkAgMDGT9+PJUqVSJ//vxgfw+3bdtGo0aNCAwM5Pfff0en02G1Wtm1axelSpWibNmytGnThq1bt2K1WtGpDp3R0NDIHJPJxNixY3n69Cnbt2/HxcUFFAOfBoOB1atXExQURKdOnWjatCl9+vQBIDw8nKtXr9K8eXPq16+Pj48PFy9elGW7urpy5swZgoKCqF+/vrzNRSqfKAZVa9eujcVikc+O2L17Nx4eHjRv3py0tDSEfWY5Pj6ee/fuAbB9+3Y6duyIp6cns2fPpnLlyhw+fJg//viDzp0707BhQ3755Rd27txJnTp1WLhwIWazGZ1OR3h4OAcOHGDUqFEEBwejs+9PlZDqjvPnz8sriLZt28aePXuoXr06a9as4fr165w4cYJdu3bx+++/s379eg4fPizPtqKoO/V6PZs2beLdu3ccOnSIHTt28PnnnzNjxgxMJhM//PADderU4cCBAxw4cIABAwYwduxYihYtSsuWLTl16hT16tXDbDaDXfFftmyZvHVk8+bN/PbbbyxcuJCHDx9iMBhITEykS5cuHDp0iL59+3L8+HF59juzulGn0xEXF0fnzp2pWbMmHTp0IDU1VX6OsWPHynGZOHEiJ0+eZMuWLUycOJG1a9diNBrR2c9fGDhwINu3b2fhwoXyjPSqVat4+fIlO3fuZM+ePSxbtowcOXLwyy+/8Nlnn3H48GH27t1Lzpw55RVnWpuuofHX0BRdDQ0FOXLkYMSIEYSGhnLgwAHc3d1lO5vNRq5cuWjTpg0+Pj7kypWLihUrAvDixQvu3r2Ll5cXoaGhGAwG7t+/L88MWywW8uTJw9ixY/nmm28YNGgQHh4eDkqrupF11pA5M8uePTstW7akf//+NGvWjGnTpskdK2fuNRzR6/WYzWYqVarEt99+y3fffUdgYCAoBh08PT354Ycf2LZtG8eOHcPNzU3OLyEEGRkZNGnShBYtWjBr1iwiIiJwcXHBbDbTqlUrrFYrTZo0YeXKlfISP0m5Vec79gGNOnXq0LNnT0aPHs3hw4flDrHFYqFatWpMmDCBb775hnbt2gHIsy9ly5blypUr+Pr6cuTIEbkDrA16aGj8OVKZ/+STTxg8eDDTp0/n2bNnDkubJfuaNWuSkpJChQoV5LbiypUrPHz4kFy5cnHp0iVKly7Nr7/+Ktf1FouFMmXK8M033/Dtt9/KdY0SvV5PRkYGgYGBVKtWjR07dhAdHc3y5cv55ptvcHV1BXtdULp0aRo2bCjvId27dy8tWrQgLi6Oly9f0rx5c3Q6HTly5KBVq1bo9Xq+/PJLbt68SXBwMMOGDWPq1KlgPzDq3bt3pKamcv78eQoWLMi6desczoQAeP36NRaLhY4dOwJQoUIFSpYsye3bt8mWLRvFixcHIDg4mCxZsvDixQtcXFwc6jqdfRDxxo0bpKSkMGnSJPr378+ZM2eIjo4mNjaWt2/fUrZsWQwGA7ly5aJp06bkyZMHFxcXcuTIQcGCBcGeJ9KS8oMHD1KxYkXKly8PQMOGDcmVKxf37t3DYrHwySefMHz4cAB8fX0RQsiKsrItVtfLBoOBYsWKUbp0aQICAuSBCVdXV1q3bk3BggXJmTMn3t7eLFq0iF69erF//34sFou86iZ//vzybPwnn3yC2WzGbDbz/PlzfHx8KFasGHq9nqCgIIxGI7dv35YPJhsyZAiPHj1yOPhMQ0Pjz9EUXQ0NBUajkaCgIBo2bMjUqVOJiIiQOzgWi4UCBQowcOBAeYR406ZNYD+o6unTp9y8eVM+kTkjI8Ph0CBfX18GDhzI4MGDad68uSzXZrNhc/IpIqUiJSG5UTbInp6e9O7dm0GDBjFv3jyyZMkizyar3Wv8E2UaWq1WKlSoQL9+/Rg0aBCffvqp7E7qCAUHB9O4cWOmTJlCenq6w34zKY8mTJhAWFgYq1atQmffa/vpp58SEhJCixYtGD58OIsXL5Zl4yRvpPCaNm1Kr169+OGHH6hataq8FN5kMvHZZ5/Ru3dvhgwZIi+ZvH37NjExMezfv58RI0Zw4sQJ3N3dOXv2rIN8bQmzhkbm6BSfEBo5ciQ6nY4FCxbg5uaGwWBA2L+XXqNGDaZOncqMGTOYMWOGvHT4ypUreHl5MWfOHCZMmEBkZCTp6ek8ePAAFxcXbDYbxYoVo1+/fgwZMkRWyKSwJaR6oH///ty8eZPp06eTK1cuGjRoIM/42mw2XFxcqF+/Pjdu3GDHjh1kz56dKlWqYLEffKhW2CQKFy7MggULGD16NEuWLCElJYU//viDrFmz8uuvvzJmzBgSEhJ49OgRERER4OSTe2rUZjb74X46J59qUrZvBQsWpG3btgQHBzN58mR27dpFtmzZ3pP3IYTiiwrKeFosFtLT08mSJYvsTpKrHHRUIsmRsNlsZM+enRkzZrB69WpmzZqFp6en/J5IbuPj4+nbty9nz56lZ8+eVKtWTY6LFK4UtslkkvcpZ5YuVquV0qVL06FDB4KDg1mzZg3Tpk1zcKehofFhNEVX46NC2YgoGx2l0gMwfvx47ty5Q3R0tINfqWEsV64cVatWZcmSJaSmprJp0yaCgoK4efMmFy9e5Nq1a3Tq1Im9e/diNBpxcXEhIyOD6Oho4uLiiImJIT09XW4kpfAzMjJISEjAarWSnJyM0WiUl1WnpKSQnJyM1WolLi4Oq9UqH7ohnQAcHh5OUlKSPNKtkTlqhS8lJYWEhAQ5fyQ3QtGhHD9+PE+ePOHYsWPyDI7VasVms2G1WilfvjxDhgxh27ZtZGRkYDAYePz4MdmyZWPKlCn07NmT3bt3k5aWxunTp1m+fPl7HRbpXUhJSSEjI0Pe1y0dOKXX60lJSSE1NZXY2FgSEhIwmUzMmzePPn36cOPGDS5dusSNGzdo3rw5W7dulZfOqTtwGhofO+q2wGYfeDSbzRQpUoQvv/ySEydO8Pz5cwfFxGI/MTgoKIjs2bOzfPlyUlJSmDdvHgsWLODSpUtcuHCB0NBQ8ubNy6JFi+TBsfT0dFJSUoiNjSU2NlaWpW6fLBYLzZo1w9PTk99//50GDRrIh+Qp3Q8ZMgSr1crgwYOpVKkSpUqVIl++fBQpUoRTp06BfRZ26dKlnDx5kl27dsnh37t3j/z58xMbG8uxY8eYPXs2V65c4dKlS5w8eZISJUqwcOFCUCyvzp8/Py4uLuzZswfs+4LPnTuHv78/cXFxvH79GoD9+/fj5uZG1apVMZlM7z2fi4sLhQsX5u3bt9SsWZP27dvTpEkTPD098fLyIk+ePISFhWEymYiMjGTLli2kp6fj4eHB69ev5UMXJeVWp9NRoUIF7t69S3h4OACHDx9Gr9dTpkwZuc5X1oFCCAwGAwkJCfz+++/y6dvKd0JqA5T32Ot+pbvbt29z5coVZs2aRWBgIBaLBZvN5rAaQEKKs16vp3DhwsTExPDgwQOEEOzbt4+kpCTy5s1Leno6zZs3p3379tSsWdNhv7hWn2to/DmaoqvxUSF1UnQ6HR4eHvIor9VqRa/XywdLValShREjRuDu7i67yZIli3zIE0C/fv14+fIlZ8+e5fLly4wYMQIUjdmwYcO4efMmz549I2fOnCQlJdGmTRtatWpFy5Yt2b17tyxLZ98DNHjwYEaPHo2rqyvLli2jXbt2hIeH8+7dO5o0acLUqVPJlSsX/fv3p3fv3kRHR7Nq1SqaNm1K/fr16d69OzVq1GDs2LFyXKQGVcMR5bvg6+vLuXPnaNGiBa1ataJt27a8evUKb29vPDw85KWCDRo0oF+/fuTKlUvet+fu7o6np6csd/jw4VSoUIFs2bLh5ubGiRMnaNiwIfXq1ePEiRP06dMHLy8vNmzY4LCPW3pvdDod/v7+TJ8+ncaNG9OzZ08CAgLo3bs32DuZR44coWnTprRo0YI+ffpw7tw5IiIiaNWqlYOstm3bcvPmTfnkV6kzqKGh8Q8MBgM5c+aUy7iXl5e8xx6gf//+1KxZUz73QK/X4+npKe85LV68OE2aNOHUqVOsXbsWf39/qlevDvZy6OLiQqVKleRlwXnz5uX27ds0a9aMVq1a0apVK1kxlMqtq6srOXLkAHu7079/fzw8POQDl9zd3fHw8JDbq1y5clG/fn0AevXqBfYtLYMHDyYkJIQqVaoQFBTE0aNHefPmDcOHD6dixYpUrFiR27dvs3jxYo4cOYK3tzetW7dGIm/evNSoUYMrV6441B316tWjY8eODB06lBo1atC9e3cePHjAt99+S926dQkMDKRu3bpMmDCBCRMm8NlnnyGEkNPQ09MTNzc39Ho9o0eP5pNPPqFx48byGQkrVqxAp9MxefJkrl+/TtWqVWnSpAnbtm3D09OT7777jtOnT1OjRg327t2Ll5cXOXPmxGw2M23aNAoWLEjjxo2pXr06M2fOZP78+fj7++Pq6kqWLFnkdPb09JTj8vDhQyZPnsyLFy/k55eQ+gFSnS+lg6urK9myZZMHACpWrEjTpk3p1KkTLVu2ZOfOnfj6+mKz2XBzcyNr1qyyDIPBQPbs2RFCMHDgQAICAggODqZevXpMmjQJV1dXfvvtN549e0adOnVo1KgRzZs3dzjZX6lka2hoOEcntFKi8ZEhKTe3bt1CZx8BTkxM5Pjx4zRv3lxWZmNjYwkPD8ff3x9fX1+ePXtGQkIClStXBvspysePH6dcuXKEhYXRoEEDvL29Zfkmk4mDBw9Sp04ddDodr169chi59/Pzw8/PT26ozGYzDx8+JD09HVdXV6z2Q4TKlCkjx9fV1RWDwYDFYkGn01GxYkViY2O5evUq9+7dw8/PjxYtWpAjRw65EZQaYQ1HpHQXQvDixQvi4+PlUXudTkf58uVJTU3l6tWr1K9fX1ZmU1JSePz4MaVLl8bT05PQ0FCMRiM1a9aUZT979gyLxULx4sXl/W43b96U99ylpaXRunVrypYtKx8uIsXHZrMRFhaG2WyWZ5JLlChB1qxZAXj48CHJycly/np4eFCgQAEuXbpE/fr18fb2luWlp6dz+vRpqlWrJn+ySppF0ND42BH2mbqLFy9SunRpcufOzYMHD4iNjaV27dpyXRAREUFsbCyffPIJNpuNS5cu4efnR5EiRQB4/vw5YWFhlChRgvDwcAIDA+UyptPpePPmjdxGvHnzhri4OFlxtNlslC9fHk9PTzm82NhYwsLCqF69Ou7u7kRFRXHr1i3q1auHu7s7SUlJXL16lerVq8v1wsqVK/nhhx+4efMmuXPnlmXdu3ePI0eOkCdPHlq1akW2bNm4c+cOx48fx2Aw0KFDB/z8/Hjy5AmvX7+WFWZJmXv16hV37twhODhYrnMkuwMHDvDgwQNq1qxJ9erVcXV1xWw2s2vXLt6+fUuNGjWoVq0aBoOB6Ohonjx5QrVq1YiMjOT+/fvUr18fFxcXEhMTOXXqFI8fP5YVPqm+ffnyJbt27aJAgQI0bdpUVg5PnjzJ/fv36dKlC9g/4Va1alUMBgPx8fEcPHiQt2/fUr9+fXng4c2bN7x8+VKuqyMiInj48CH169dn/fr1TJkyhVOnTjns/dXpdLx9+5YHDx5Qt25dXF1dZfOXL1/y5MkT6tWrJyuw8fHxbNmyBR8fH8qVK0d8fDw1a9YkJiaGe/fuUbt2bVxdXYmPj+f27dvUqFEDd3d30tLS5Jn2Jk2aEBAQAPYTmQ8dOkRcXBzVq1enTp06ctxwsuxaQ0PDEU3R1fjoUI5M6xT7YyQzqRFT/qvtJdTulNdKZULZOVAizbQq46NGHf5fQT1z93f8fkxkli8SanvlvZTfUj47UyAzy7tLly4xe/Zsli1bRq5cuWS/mbnnA7LUKN9BnLyjkpmGxseOunwry7BUVlCUIcm9sg6Q7JVI5kr5ynKoRmmulqmuV9RudTodGRkZFCtWjLZt28qrRNRyMjNzZq6Mf2bpoUYtIzNzdfyVdhKSG2fp9SGzD8lTmyvNTCYTffr0oUOHDrRv397hWSU3KPJCareVaZNZfNWo3TiLm2SuNpOQ/EhuMnOnoaGhKboaHxnqBkKNZK9UOpSNmNIuMxlKtyKTjoKE5F9pp2xUpWulO6V89bWEMn7KOGg4okwj6V9KL2f5JaFMd+keVadFaa8019kPqbJarfLJ20o+FL4UT7V8CfWzKJHkamho/AN1GVGjU237UJdLyd6ZwiNdSyjtlOXQmdIkoa5XpGspHpJ9XFwcW7ZsoUGDBvKss6SQSW7UspTxVMZHnSbq51DjrM6x2felqs2Vcf8QzsJUhqN0o5StU9WNSj/qwV8lQghSU1Px8vKS4+0MZ+Ep46SMm9K99NxKO8leOcipjrvSveTO2TNl9lwaGhqaoqvxEaJuJNQoGxJ18cjMTCKzRkptlpm92k5tJpFZ/CTU7jXex1m6SuYS6jR2ltdqO7X7P8tHoeq4Sv/qTqrSXrpWy5NkquON9k5oaLyHszIimUllUK0Eqsui2q+ynCnvlXKV10o7CbUcNUp7Z+E586+Oc2bxl66V/pRIctRupHt1vSXZK3EWR3W8dCpFLrO4qe2Ucv9KGGrU4WT2DkionzezOKn9OYuXZO7sGdRyle41NDQyR1N0NT4q1I1YZo2HZO6sEVE3YJnJUpoLJ7NpanfOUMZLHY6SzMLWyBx1mjmzy+xeQpkn0v2fdYw+hORWOcqP4l2TrpVuyWSpusjkvdPQ0PgHUhlRlymp/KjN/y9Qx0lCWQdI9xoaGhoaH0ZTdDU+OtTKg1qJUBYJpb1aYXBWdNQdpcxQdmScdViUftWj2uprpXulvcaHUeat+h8nyqUyT9Tpq7azKfZeq91+CPU7I/l19g6o3WbG3wlfQ+NjQl2HCierKyT+r8qRulwrw/3/Iz4aGhoa/8loQ/0aHx1KhYFMOhZSJ0LdmVC7RaUEqWfylNfKcKW9NpmhDF/pVulHunbWKdP4a6jfAeW/UllV2knXyp/SHMV78KE8zgylPJv9FGj1+5JZnqvDU99raGj8E3X5UJYp6V/t5l+Jsj7RfaCd+r+Mk4aGhsZ/MtqMrsZHhbPOgnqpqYSkTChn09Soi49aGZGUFGf8nY6UFJc/M9P46zh7F5Q4S191nqndZLZf66+ilv9X7cjkPf674WtofEz8WZmS+L8sR8ptC87C/LN2RUNDQ0Pjn2iKrsZHhdR5EEKwevVqjEYjQ4YMITExkUmTJtGoUSPatWsnu//mm28IDAykSZMm7N69mwMHDiCEIFu2bHTu3JlatWo5dDwePXrEkiVLaNOmDfXr15fDO3bsGNu3b5dnCa1WK507d6Z58+aK2P2TZcuWcfXqVcaMGUOpUqUAuHLlCqtXryYxMZEePXrQvHlzdDode/bs4cCBA7KS5e7uzpw5c+TvEGo4R8obq9XKihUruHbtmsMM6uTJk8maNStTp06levXqdO7cGYCMjAyWLl1Kq1atKFq0KOfOnWPNmjVMnTqVAgUKAPD06VP27NnD4MGDyZIliyrkD5OSksLEiRNJT08nPT2doKAg2rRpQ44cOQCYOnUqL1++xGq1IoQgZ86cfPXVVxQqVAiA27dvs2DBAoYMGcKnn36qkq6hoaEkLS2NcePGYTKZMBqNBAYG0qJFC3Lnzv2nSue/Aikso9HIhAkT5G9mG41GatWqxZAhQ/5P46OhoaHxn4w2JKjxUSF1DnQ6HcePH2f//v1g/8j777//zoABA7h7967sfuvWrYSGhgJw5swZduzYgaurK48fPyY4OJgVK1agsy8vBli3bh1z585l0aJFDrN7oaGhbN682WF2WLKTFGWJhw8fMn36dFasWCHHZdeuXbRo0YLU1FQsFgtdunRhw4YNAJw6dYqDBw/i5uYG9mczm82ybOW/xj+R0t9ms7F3715OnDjhsETY3d2do0ePMnfuXAYNGsTTp08BMJlMHDhwgIiICLC/I6tWrWL06NGy7OjoaPbt20dGRoZs9lcxGo0sWrSIN2/e4OLiwvfff0/Hjh1JSEgAYMuWLZw7dw5XV1ennd0FCxawYsUKZs+eLZtJ75j2HmhoOGK1Wlm9ejXPnj3DxcWFH374gVatWhEVFeV0C4K6HP3Z/YcQQsgDVmp/FouFVatWyfHS6XS4urqCkxloZ+FJg3bOUIelNJcGY9Uo4+jMr4aGhsa/I5qiq/HRYjAYMBgMYO846PV6YmNjmT9/vuzG3d1d7uwIIShVqhRLly7lwIED1KtXj5UrV5Keng5AcnIye/fupUuXLpw4cYIHDx7IcoQQFC1alFWrVrF8+XJWrVpF06ZNEfaReanjYrVamThxIgEBAaDY6zl37lxatWrFunXr2LZtG8HBwWzfvh3sz1GvXj2WLFnCypUrWbhwIdmyZYP/4fLZjwVlZ81ms9GsWTOWL1/OypUrWbFiBb6+vpjNZtzc3EhKSmLlypVgT1OdTie/O1LH8MCBA5w7dw4U+Sb9v3z5krlz57J69Wr5ffkQNpuNoUOHsnr1aqZPn86ZM2cIDw8HuyLctm1bli5dyqpVq/j111/l2dz09HSOHz9Os2bNuHv3Lk+ePJFlau+Ahsb72Gw2bDYbw4YNY9WqVaxevZpLly4RFhYGQFJSEn/88QezZs3izJkz6HQ6EhMT2b17N3FxcXJ9cP36dS5cuIBOp8NkMrF//35mz57NsWPH5LAePHjAhQsXuHfvHosXLyYpKQmDwSCXTXUZFUIwYsQIlixZwvr16xkwYABWq5XDhw/z/PlzduzYwZkzZ8A+QCoNcoWHh6O3f0f3xIkTvHjxgpCQEBYuXEhsbKxDOJcvX2b27NkcOXIEoVgSvX//fmbMmMGJEyfASdw0NDQ0/hPQFF0NDUVnZ+jQoWzcuJHz58+DvaOh7IRI18nJyURGRuLj44O7uzsA165dIzo6mkGDBuHt7U1ISIgs32AwkJGRQXh4OOHh4cTHx8t2KJSuvXv3cvnyZSZMmIBOcXpvSkoKPj4+svsGDRpw6tQpkpKS5CXT27Zt49atW6SmpsoyJbnaCPz7qDtu8fHxvHnzhpcvX5KSkgL2gQd/f3+GDx/OmjVruHz5Mu7u7ugUh8RYrVbq1atH5cqVGTduHCjS29XVlbt37xIcHMzJkyfZvHkza9euVYTqHOV7FxMTQ6FChciVKxfYlefY2FgiIyN5+fIlFotF9rd161a8vLz4+eefeffunfwOKp9V+V5oaHzsqOuBt2/fkjdvXvLnz09sbCyBgYH88ssvXLx4keDgYJYvX47RaKRnz55s2rQJ7HVAz549OXXqFOnp6fTu3ZuxY8cSGhpK3759WbZsGdi3pPTu3Zvg4GCmTp0qrwpBMSipRm32+vVrgoOD6dWrF4MGDWLBggX89ttvBAUFcenSJVauXEmdOnWIi4vDZDLRvn172rZty/jx49m0aRNVqlTh/v376HQ6pk+fTqtWrQgJCWHMmDH88MMPAAwZMoQxY8YQFhZG//79mTp1qkMcNDQ0NP5jEBoaHyk9evQQLVu2FEII8eLFCwGIEydOiObNm4ugoCAhhBClSpUSM2fOFEIIMWbMGOHu7i4aNmwoypQpI8qVKyeuX78uy2vTpo3o2LGjEEKIcePGiYCAAGGz2YQQQvz6669Cr9eL4sWLiyJFiog2bdqI5ORkIYSQ3SQmJooaNWqIGTNmiLi4OAGIHTt2CCGE6N27t8ibN6+4ePGiePr0qWjevLnImTOnSExMFNOnTxfZsmUTuXPnFsWLFxcdO3Z0kC39NByR0sRkMok2bdoIT09PUaxYMeHn5yfn+Zo1a0SBAgVEaGioKFu2rOjWrZtITEwUzZs3F5cuXRJCCDFgwAARFBQk9u3bJ9zd3cXWrVtFaGioqF+/vsjIyBDTpk0TefPmFcnJycJoNIqYmBiHeKiJjo4WHh4eokKFCqJ+/frCxcVF9OrVS7YvX7688PLyEiVKlBCFChUSc+fOFUIIYbFYRHBwsOjcubMQQoh+/fqJwMBAYTabhVA8r/YuaGj8k8TERJEtWzbxySefyOWtTZs2Qggh0tPTxbVr10RqaqoQQoi+ffuK8uXLC2Gv7yV3ly5dEv7+/iI0NFTs2rVL5M6dWzx58kQIIcTs2bNF/vz5hdFoFGPGjBGAWL9+vXj+/LlIT08XQlUmpeuUlBSRJ08eUbx4cVGrVi1RrVo1sWPHDvHu3TsBiBo1aoiwsDDx6tUr8fjxY/Ho0SMhhBBPnjwRhQsXFgsXLhQmk0l4e3uLypUri1evXolXr14JNzc3sWzZMhEeHi7y5s0rBg8eLIS9DQwJCRG7du0SZcuWFS9fvhRCCLFq1SpRrFgx8eDBg/fiqqGhofHvjjajq/FRox4tz5EjB4MHD+bSpUvs27dPnr3DPuubI0cOAgMDyZ49OwULFqRixYoAvHr1irCwMHx9fXnx4gXu7u68e/dOXlZms9nIlSsX/fr1o2/fvvTu3RsvLy9QzCisXbuW+Ph4Bg0aJC9vtVqtAMyaNYvKlSvTv39/unbtSmxsLEII0tLSGD16NK9fv+bVq1fMmjWLgwcPyiPw2oxu5kjpLuz70j755BMGDhzIkCFDqFOnjoMbT09PvvvuOzZt2sTJkycd9scK+0ExrVq1Ijg4mNmzZxMZGYmLiwsmk4mWLVui0+lo1qwZGzZskFcAfAibzUbFihVp0aIFw4cPZ/v27SxZsgTse/cqVqzIgAEDGDRoEO3btwcgLCyMK1euUK1aNR4+fEiBAgU4ffq0vHxZPXOloaHxD6xWKxUqVKBly5YMGzaM48ePM2PGDDw8PMiWLRszZ85kzJgx3L17F5PJBEDXrl05cOAAb9++ZfXq1RQqVIhKlSrx9OlTzGYzS5YsYdy4cRw6dIi0tDQSEhIwm80EBgbSvn17ihQpgoeHByhmc9X1tM1mo2jRolSqVIkKFSqQM2dO2c3YsWP55JNPKFiwIAEBAYSFhfHNN98wc+ZMUlNTiYmJAfvheQMGDKBgwYJkzZoVT09PjEYjjx49ws3NjcGDBwNQuHBhatWqxfXr14mMjGTp0qV8/fXXHD58mHfv3vHs2TP4wMyzhoaGxr8jmqKr8VGi7lRI10ajkdatW9O6dWvmzZtHdHS0vGfJarVSpEgRJk6cyKJFi7hy5Yq8b/Ps2bM8efKEs2fP0rVrV/bv3096ejpnz56V/ebLl4/x48fz3Xff0bZtWwfFw2KxcPz4cRITE2nXrp2svEyaNIkNGzaQO3dutm7dytGjRzl+/DgNGzakVq1a5MqVCzc3N7y9vfHw8KBt27ZUrVqVhw8fgkK5kZ5B4330ej0mk4mqVasybtw4JkyYQM2aNR3cmEwmOnbsSKtWrZg+fbrc2UWlQE6dOpUnT56wadMmDAaDrJQePXqU2rVrM2LECH7++WfZvYTyfdTZDxPr0qULY8eO5aeffqJq1apcvHgRALPZTJ06dRg7diwTJkyQ9+eGhoYSExPDunXr6N27N/v27cNgMHDkyJH3wtDQ0PgHwn4gVOfOnRkzZgyzZ8+mefPmHDp0iEePHvH555/z6NEjSpUqJZ99AFCnTh1KlCjBggULePToEbVq1QLF54H8/f3Jnz8/bdu2ZfHixeTNmxeLxYKrq6vDuQ/KfzUZGRkMGTKEhQsXsnz5cho1aiQfcCcdTAUwb948+vTpg8FgoGjRopkeVCcN6kn7gqVnVyLZFyxYEH9/f2rXrs2qVavk50MbNNPQ0PgPQuv9anxUOFNuse+hVTJ27FiuXr3Ku3fvHGZ0pdOMP/30U+rWrcvatWtJSUlh3bp11KtXjwsXLnDw4EEuXbpEx44d2b9/PxkZGej1eiwWC4mJicTHx8v7pyT0ej3ffvsty5Yt4+uvv+bLL78EoHXr1tSqVQuj0Yher6dAgQJcv36d1atX06VLFwBOnjwpn8h77Ngx7t69S1BQENifUeuUOEfdyUxOTiYlJYX4+Hg5PSXl0Gq1YjAYGDduHPfv3+fo0aMOHU2r1YrFYqFs2bIMGDCAdevWkZ6eLu+fzp8/P7/88guff/45Bw8eJC0tjbNnz7J69WpQ7f+WwjSZTFgsFp49e8bz588pWrSobJ+amkp6ejrx8fEkJydjMpmYP38+X3zxBWfPnuXQoUNcuHCBZs2asWvXLjIyMrSZGA0NJ+jsnxhLTk7GbDbz+vVrHjx4QOXKlbl58yZRUVHMmjWLPn364OrqitVqxWw24+fnR2BgIL/99huPHz+mZ8+eYF8VlJaWRlBQEKNGjWL48OGUKFECFGdBSOVQp9Nx6NAhNm/e7FAHSEhnNPwZYWFhFC1alOnTpxMYGIjRaJQVbhQrgyRF12w2U6RIEaxWq/zlgdu3b3Pw4EH8/f2x2WxUqVKFUaNGMXjwYD799FO8vb1lGVo9oqGh8Z+CpuhqfLR4enrK35q1Wq24urrKy0orVarEyJEjyZIli9zAZ82alezZs8v++/Tpw6tXr7hw4QJXrlzhq6++Ilu2bOTKlQt3d3fGjBlDaGgoT548wdfXl+TkZNq2bUv79u1p06YNu3fvBoUyWqNGDVq1akXr1q0JDg4ma9asNGjQgICAANasWUNQUBDVq1enW7duDBw4kC+++IJ3794xdepU6taty6effsrw4cOpVq0affr0AcUys7/aYfqYkDqVOp2OfPnycenSJVq3bk379u1p3749r1+/xtvbG3d3d/nTTXXq1KF///7yTDqAm5sbWbNmleV9+eWXVKxYkWzZsuHh4cHJkydp0KABNWrU4PTp03zxxRd4eXmxbt065s2b917e6HQ6ihQpwowZM2jatCm9evUiICCAXr16AVCoUCGOHTtGixYtaNOmDf369SMkJITY2Fjat29P9uzZyZkzJ15eXnTp0oVbt27Jn8jSZvY1NBzR6XQUKlSI+fPn07x5cz7//HOyZs3KiBEjqF+/PgEBATRu3JjWrVtz7do1fH195bLerVs3zGYz5cuXp2TJkgB06dKFtm3b0q5dO2rVqkW9evX46aefAMiWLRuenp4O5XDdunX8+uuvoFJsdTodvr6+uLi4gGJAztXVFS8vLwcZ9erVIz4+nvr16/PVV1+RlpYmt1tSe4R9QDdnzpzodDqKFStG7969WbhwIVWrVqVdu3acPn2aQYMG0bp1azp06EDdunVp0KABs2fPdlDONTQ0NP5T0AltaE7jI0LZWIeGhuLi4kL58uWJjY3l7NmztGrVSu5YJCYm8vbtW/Lnz0+OHDl4/fo1CQkJlCtXDoC0tDSOHTtG2bJluXnzJi1btsTDw0NWXG02GwcOHKBatWp4enry7t07LBYLNvu3dPPly4evr6/sXvlvs9m4du0ahQsXJl++fERFRXHo0CHu3btH06ZNadSokdzhiI2NZefOnTx9+pT27dtTuXJlXF1d5ZkDg8GgdVIyQZqdePfuHUlJSdhsNiwWCwaDgRIlSpCens7p06dp1qyZvJ8uPT2dly9fUrhwYTw8PLhy5QoZGRnUrVtXzsNXr15hs9nw9/cnPT2dEydOcObMGXr27EnFihWxWCy0a9eOEiVKOHRydfbZpefPn2MymbBarbi4uFCkSBF5T/fz589JT0+XZ2nc3Nzw9fXl2LFjtG7dGk9PT3k2x2g0cvLkSapWrerwrmloaPwDq9XK06dPMZlMCPvndQoWLCgPar59+5Zly5ZRpUoVSpcuTVJSEpUrVwb7KpCAgABmz54tD0RJMg8ePMipU6coX7483bt3x93dnVevXhEZGUmVKlUAiIuLIzg4WD4VWYkQgnv37pEnTx58fX3lMm2z2bh69SpFihQhb968cpm+cuUKu3fvpnfv3kRFRREQECCvAMqfPz9+fn4AXLp0idy5c1O8eHEADh48KA/GtWjRAr1ej9ls5sCBA4SEhFC1alVatmxJlixZ5HihtSUaGhr/IWiKrsZHhfJ1lxpqZcOtLg5KM2fupfvM3Dm7lnAWruRGuezsQ34lMrN3JlvjnzhLWyVqe3W+SEjprE5vSXlVh3H58mUmT57Mpk2byJkzp4OdMgwJdVgfQhkPye2fvS8aGh8jmdWNmZmrGTduHGvXruX06dOUKVMGYR84U5d5tTzJzeHDh1m7di2rV6/G09PTaTlV+nUmx2bfU/shPlQnfCieSpQyMnOjoaGh8e+GpuhqfHSoOw7qhl7dgDszk3DWgXBmr77+n/ChsJyZSWgdk8z5ULrxv7B3luZKt8nJyRiNRnx9fZ3aOzNzJlPt5kPm6nsNjY8ddZlQlzd1eVGbbd++nYSEBAYMGOB0ECwz2RIJCQnodDqHLTHO3DlD7U59//8SZ8+joaGh8Z+ApuhqaGhoaGhoaPwPkZTMf6WyqaGhoaHx99FOJtHQ0NDQ0NDQ+JsI1QnEmpKroaGh8e+FpuhqaGhoaGhoaPwP0RRcDQ0NjX9PNEVXQ0NDQ0NDQ+N/gXp2V0NDQ0Pj/380RVdD42/yVzoz/6/caPzr+Fek/79C5t/l3yEOGhr/SfzVMqN0pzygSdqbK13/GZIbIQQWi8WpH7WZs3u1mURm5n8Vq9Uqf57OarU6lefM7O+gTAPl/9/hQ36UdnFxcaSkpDjYSyQnJxMXF/eerA+lr8Sf2WfGX03Xv5I2kqzM+JAMdVgfcvuv4M/CUcdH7T6z+KN4h5X2ymu1LI3/XgyTJ0+erDbU0PhvRSgODbl//z7Xrl3jwYMHPHjwgIiICPLly4fBYECn+DSMhNVq5dSpUxgMBnLkyCHLevv2LdevX8fHxwd3d3cAIiIiuHHjBkWKFAEgOjqaM2fO8ODBA0wmE3nz5kWn03Ht2jWuXLnC48ePefjwIc+ePSM+Pp48efL86ScjNP73SPl8+/ZtQkNDuXfvHo8fP+bRo0fkz58fV1dXzp49i8ViIVeuXAj75zxu3ryJp6cnHh4eREREcPbsWfz9/XFxcUGn05GYmMjdu3fx9fWVv2Os7BBL/84wmUycO3eOO3fucP/+fdzc3MiePbvs/sKFC4SFhXHv3j0ePHhAeHg4uXPnlr/zGxsby7lz5xzMNDQ03kfq7Epl9vjx49y9e5fU1FQKFCgAiu9bO+sYq8u0GmUZV4Yl/cfGxjJy5Ei8vLwoVqwY06dPJ2vWrOTPn1/25wx13aEMW2mn0+mIjo7m/Pnz3LlzB5vNhq+v7wfjrdPp6NGjB25ubuTLl4+hQ4eSI0cOuS1D9SzStVqOhNJtRkYG8+fPJ1u2bPI3gJV1oVqeZO5MtjM/6ufR6XQsWrSIESNGcOXKFQIDAx2+dR8SEsKAAQPYuHEjAQEBFC1aVLZTh62+l66dham0V5pL7u/du8dXX31Fnjx5KFy4sOxGjeTnQ+FcuHCByZMn89lnn5E9e3an76syTmqU8pXhSWbOUMbnz9yYTCZOnz5NaGgoCQkJFCxY8D0/UngSOnu7LF07ex7pXi1Lp9NhNBoZMWIEJpOJTz75xKnbD8Vd478MoaHxEWKz2US/fv1Enjx5RLt27UTLli3FiBEjRExMjNqpTEpKisiZM6dYtmyZEHYZQgixdu1a4evrK27cuCG7nT9/vihSpIgQQohnz56JcuXKidq1a4sSJUqIvHnziuPHjwshhJg5c6Zo1qyZaNu2rejYsaMoUaKEqF69uoiKipJlafxrMZvNom3btqJw4cKiffv2ok2bNqJdu3bi3bt3Yu/evcLNzU2UK1dOfjeSk5NFcHCwuHz5shBCiK+//loAYty4cbLMK1euiMDAQJGQkCCb/VWio6OFt7e3qF27tggKChI+Pj5i5MiRwmg0CiGEqFixoggICBAdOnQQrVu3Fr179xbPnj2T/f/6668CEF9//bVCqoaGhhqr1SqEEOLp06eiUqVKokyZMqJFixbCw8ND9O3bV+1cCHu9L9X9aiQ7Z/aSmdLu5cuXomjRomLlypVCCCEKFiwoJk2aJNsryUyuhDJsyV1oaKgICAgQFStWFC1bthQFCxYUI0eOFBkZGWrvDuTJk0fMnz9fvH37VhQpUkRs2LBB7UQIxbNI6ajm+vXrYtSoUcJkMgkhhEhISBD58uUTM2fOFEKVFkqcpZXSTPmMzmRIZpGRkaJEiRJi+PDh4vz58yItLc3BXdu2bUXt2rXF8ePHxfPnz2VztfwPheHMTnzAnxBCnDp1SuTOnVts3LhRiEyeU4k6LKWb7du3i8KFC4uwsDCRkZEhxo4dK27evPmeO7Vc9f2HzJyZiz+xE0KIt2/fikaNGolixYqJtm3bipw5c4pWrVqJlJQUtdP3ZKnlqu3V5kq75ORkUapUKTFr1iwHtxLO/Gj896ItXdb4KJFG/apVq8auXbvYv38/8+fPx8fHByEESUlJREREEBsb67AsyGw2v7dMyGazvWdmtVoxm81gD2vIkCEcOnSIQ4cOkZ6ezoYNG7DZbIwdO5bDhw+ze/dutm/fTsWKFcmRIwe5c+d2kKfxr0MIQXp6Ok2aNGHnzp3s2bOHXbt2kS9fPpKTk7HZbNy9e5ft27fLfpTLzoxGIwDr1q3j9u3bsr3ZbJZHpdPT04mKiiImJgaLxSLLyYzk5GQmTZrEsWPHGD16NEuXLuXRo0eyXevWrdmxYwd79+5l9erV8mxLRkYGc+fOpVatWpw/f55Xr16pJGtoaEjo9XoyMjLo1KkTuXPn5o8//mDfvn3s2LGDUqVKYbFYsFqtxMfHExERQWJiItjr9IyMDNLS0jCZTERFRZGUlOQwQ5SamkpkZCQxMTGYzWaHWai4uDhiY2MxGo24u7vLq3dWrVpFv379wN7WxMbGEhERQXJysjyzlZaWRlpaGhkZGURGRpKUlCTHSQpfp9Px6tUrPv/8c/LkycPRo0fZu3cva9aswdfXV66XlHE0mUz2mIPBYECv12MwGORVKhJpaWlEREQQHx8P9vZPr9cjhCAhIYGIiAi5Tjx69CgHDhzg6dOnpKamki1bNtauXUunTp3AHs+kpCSioqKIjo6W60abzUZCQgIWi4W4uDiio6Mxm80Os3rSLKBOp8NisRAbGyunhxTfo0ePkpCQQLNmzahevTqenp6yDGkVVePGjalXrx4FCxYkMTERi8Ui51ViYqK8BDYuLg6z2SznnbIel+wjIyOJjY2V63mdTkdKSorDe4A9fQ0GA66uruBk5jY9PZ137945pHF8fLycb1arlbi4uPdkPXz4kJUrV3LmzBmSkpKw2WykpKSQkpIip4nyPi0tjfT0dIxGo8Py7aSkJCIjI2UzyW9GRgYRERHvmWdGv379SElJYd++fezevZtdu3ZRrVo1OR0SExOJjIwkPj5elmc2m0lJScFqtRIVFUVCQoJsp9PpSE1NJSoqisjISEwmk2wuyYuOjiY1NRU3Nze5XCnfTSksnMwGa/yXotZ8NTT+m5FG8Gw2m+jevbto1aqV2olYtGiRKF26tAgICBBZsmQR06dPFzabTaSmpgpvb2+xePFiB/erV68WuXLlcpjRnTNnjihQoICDO4lPP/1UdO/eXVgsFgfzGzduiIIFC4odO3Y4mGv8a5DeBaPRKJo1ayYGDBigdiLWrVsnihYtKlq2bCn8/PzEo0ePhNFoFE2bNpVndAcOHCgqV64sAgICRMeOHYUQQly+fFnUr19fJCUliejoaNGqVStRoEAB4e/vL9atW6cKxZGYmBih0+nEwYMHhRBC7N69W/j4+IgHDx4IIYQoXry4GD16tIMf6VmOHj0qSpUqJU6ePCmyZ88u9u/f7+BOQ0PDkSVLlgidTif++OMPtZVITU0VgwcPFkWLFhUFChQQ+fLlE4cPHxZCCDF37lxRtmxZ0apVK+Hn5yf8/f3FsWPHhBBCHD58WJQrV04EBASInDlziu7duwuz2SyEEGLNmjUiZ86conDhwuKzzz4T+fPnl+uEIkWKiG3btomMjAzRu3dvUaRIEeHv7y8KFiworwL66quvRJ06dUTz5s1Fvnz5RPHixcX58+eFUM2CbdiwQQCyPzVXr14V5cuXFwUKFBC5c+cWXbp0EfHx8UIIIfLnzy8WLFggIiIiRLFixcTmzZuFEEJcunRJVKxYURQuXFj4+vqKhQsXCiGEsFgs4tdffxUFCxYUfn5+onbt2mL79u3CYDAIQACia9euwmg0ioIFC8ozmadPn5bT1sfHR/Tq1Uukp6fLM8l9+/YVxYsXFz4+PuKLL74QqampQqhm5Gw2mxg/frzIlSuXHP7+/fvF27dvhbe3txx+69at5WcX9tlcQOh0OpE/f35x6tQpUbp0ablef/z4sahcubL4448/RGRkpMiePbv48ssvRbFixUSOHDnEl19+KdLT04UQQnz33XfCz89PFCxYULi5uYkqVaqIe/fuid27d4ty5cqJYsWKCS8vL/HVV18Jq9Uqzp8/L/Llyyenq81mk2fFT506JWrWrCn8/f1FoUKFxK5du8Tjx49FQECAPFMbHh4usmbNKh48eCAOHDggAgICxKNHj0S5cuUEIPR6vciVK5dISEgQvXv3Fp07d5afu2PHjqJbt25C2N+lGjVqiGrVqgkfHx/x8OFDcerUKVGqVClRuHBhkT9/fjmP3717J5o1ayYKFSokAgIC/rSfsn//fuHh4SGvgFNiMpnEpEmTRPHixYW/v7/InTu3WL9+veyvdOnSokOHDqJo0aIiV65cYu3atUIIIW7evClq1qwpAgICRJ48eUSjRo1EbGys7M/X11f4+fmJsmXLCl9fXzF37lwhhBDTpk0TRYsWFf7+/sLX11esWrVKCCezxhr/nWgzuhofFdLIKfbR/AcPHjB9+nR+/PFHDh48CECWLFmYN28eISEh/Pjjj/zyyy9ERESg1zsvLgaDgeTkZHr37k3t2rWpU6cO8+bNk/dHSiO12EeRnz9/TrFixeS9mxKrVq3Cy8uLli1bymYa/zqk0Vy9Xo+Liws7duygdu3aVKlShVWrVoE976xWK0OGDAFg7dq18giylHdCCHx8fBg/fjz79+/n2rVruLq6IoTAzc2NlStXcvXqVY4ePcrBgwepWbOmIhbvY7PZcHV1Zfv27UyaNIlRo0ZRs2ZNedbWw8ODdevWUbt2bapXr862bdvkZ9m2bRvFihWjYcOGFC9enOPHj6uka2hoKDl27BgVK1akdu3aoKqv09PTKV68ODt27ODChQvUqFGDn376CeyzR2FhYfj7+3PixAmqVKnC4MGDsVgsGI1GvvnmG86cOSPPsJ04cYKYmBgmTZpEr169OHHiBO3bt+fdu3fyzFNCQgImk4m0tDQqVqzI7t27OXv2LFWqVGHOnDlg34N//vx5ypQpw5kzZyhUqBATJkyQZ30l7t+/T548eahWrZpsJhEfH0/37t2pWbMmJ06cYNWqVRw+fJh58+bJbpQzZQAWi4VevXrRtGlTLl26xMKFC5kwYQL37t3j8OHDTJkyhe+++45Tp05Ru3ZtChQowMiRIylUqBDbtm3jxx9/JC0tjaioKKxWK5GRkQwcOJBGjRpx8uRJFi1axN69e1m0aBFubm7ExsZy/PhxVq5cyaJFi9iyZQvHjh2T4yb9z507l02bNrFixQpOnDhBYGAgQ4cOJTU1lR9//JGcOXMya9Yspk2bBvb8BRg9ejRFihShf//+HDhwAJ19P7M0G52amkpsbKw8M5qUlMTp06fZsmULc+bMYfHixTx8+JDz58+zcuVKZsyYwd69eylevDiFCxemTJkyWCwWvv/+e86ePcvy5ctZvHgxDx48kNsHZZ9Cr9djNBrp3bs3RYsW5dixY8yfP5+7d+9isVhISkpymHVPTU3FarU6pMW0adPIkSMHX3/9NYcPHyZ79uykpqaSnJws+0tKSiI9PR3sq4MuXbpEo0aNOHDgABkZGQwfPpwuXbpw+fJlpk2bxty5c3nw4AErVqzg1q1bHDx4kJ07d1K2bFlQpKeaixcvki1bNrk/o3RnMpnIlSsXK1as4NKlS3Tt2pXJkydjs9lITU3lwYMH6HQ6Dh8+TPfu3fn666/llQ0DBgzg5MmT7Ny5k+fPn7N3716EEIwfP57AwECOHz/OiBEjiI6OlsPz8vJi8+bNXLp0ieDgYH7++WdsqjNYNP57cd5z19D4L0UolsC4uLjw+vVr9u7dy86dO7lw4QJCCHr27Enu3Lk5ceIERqORxMRETCaT3Cg5qxx1Oh358uWjcOHCFC5cmJw5c75nLx2QkDt3bllxkoiIiGDjxo2MHDlSPtBK4/8OvV6Pt7c3/v7+FC5cGG9vb7Dnm9VqpWjRonz11VcsWbKEJ0+evHdQmNFopFu3blSoUIFZs2ZhMpkwGAzYbDZKlChBRkYG69evx2azUbx4cVB0qNUdBZ1Oh16v5+XLl7x584aCBQty/vx5zpw5I/vLmjUrhQsXxt/fHy8vLwBev35NSEgIQUFBAAwaNIg1a9YQGxsr+3MWnobGx4zVaiVHjhxkzZpVNpPqeB8fH7nTHBISIi8Xxl6e8uTJw5QpUyhVqhRBQUE8f/6c1NRU2rZtS/369QkJCeHdu3eYzWZCQ0N59uwZr1+/pn///hQrVoxevXpRokQJeSmnMj7Dhg2TlVqDwcDjx4/BrnBWrVqVSZMmUbJkSWrUqMGbN29k5UVCCIGHh4fcbinL/r179wgPD2fQoEGULl2aVq1a0b17dw4fPgz255eWyQohcHV1JSQkhKioKDw9PTlz5gyRkZEkJiYSERHBtWvXyJkzJwMHDqREiRL8/PPP1KpVixIlSpA9e3YaN25MiRIlZOXC1dWVa9eu8ezZM6ZPn06pUqXo3LkzVapU4caNGxiNRoQQzJkzh3r16lGzZk0KFiwoL9eV2nGAAwcOUL58edq1a0fJkiWZOHGiXHeWK1cODw8PatWqRfny5R3qvhIlSpAjRw5KlixJ5cqVcXV1dWjbpXpYmX7Lly+nSpUq1K1blyxZsmCxWAgPD8fV1ZWqVatSrFgxXF1d8fPzA6Bjx46UL1+ekydPEhkZSUZGhrzUXApD+X/37l2SkpLo1KkTpUqVom3btnz33Xekp6ej1+vfi5/0PFJ6fPbZZ2TJkoWKFSs6DHCo/Un3VquVsmXLMn36dGrUqMGtW7eIiooiR44cHD9+HKPRyKtXr7h8+TLFixfn3bt3HDx4kCxZslC6dGlZns1+QrcyfYUQuLu7v9cXwj6ZMGrUKIQQnD59mvT0dCIiIkhLS0MIga+vL9OmTaNUqVK0b9+e2NhYEhISqFOnDs2aNSM0NJT79+/j7u7OvXv3ePfuHWFhYXTq1InSpUvTvXt3ypYtK7/Dw4cPx2g0EhISQmJiImazWV4WrvHfj6boanyU2Gw2LBYLdevW5fDhw5w4cYJJkyZhtVqZOHEi3bp1Y8mSJezbt89hn4e6MsfeWGTLlo2ZM2eyadMmNm7cSJ8+fcjIyACFsjRu3DhCQkJYtWqVfOKkxPz58/H09KRRo0YKyRr/SpTpbzKZaN68OVu2bGHnzp3yHjKpAbdYLAwYMICAgAAmTZqEwX4yt4TNZiNLlixMmTKFgwcPcuTIEVxdXcnIyKB9+/bybEVQUBBr1qwBRYdD6rBI8dHZB0VGjx7N6tWr2bNnD8WLF2fv3r1gV6rbtWvHpk2b2LFjBy1atADg9u3b3L9/n61btxIcHMzSpUtJTU3lyJEjcjyVnSMNDQ3Ily8fd+7c4e7du7KZ1EGOjIyka9eujB07luXLl3Pz5k3c3NxA0ZFXKg0GgwF3d3dWrVpFs2bNmD9/Phs3biQpKQkXFxfS0tJApeCoZ/VcXFyIiYmhffv2jBo1ipUrV3Ljxg15P6cQgixZsjjcqxUyAF9fXyIjI0lNTZXlS2RkZODq6oqLi4ts5uPjQ3R0tNxu6fV6bPb9tzr7qdRGo5F9+/axcOFCtm3bRp06dcibNy8Wi8VhgFZdNyoVeSEEBoMBq9WKi4uLPKgI4Ofnx6tXr0hISECv15MlSxbZD/Y4KRH2FTdK81y5cpEjRw5SUlLketWqOENDGTelnc1mw2azyWni4uKC3r73WEK5Skuv12M2m6lfvz4Wi4WBAwfSvn170tLSGDVqFABz586lffv2LF26lK1bt4J9BZiEJFv6l8KX3jE1yrir74X9iwBCCIf0JpN0k8iVK5csx2g0kpyczPbt21m6dClbtmyhUaNGlCtXjo4dO7J27Vq2bt1KYGAga9eulWUo5Uuy8+TJQ3x8PNeuXXvPLikpicGDBzN8+HCWL1/OuXPncHV1leW4uLjI6SQ9i4eHB0eOHKFJkyZMnz6d9evXExERIbezqNJD2UYPGDCAgQMHsnDhQq5du4bBvgdd4+NAy2mNjw5hH/202Wy4ubmRK1cufH198fT0JDw8nOnTp/PTTz9x7tw5fvzxR4dGEieNDaoGE4WChL2iHjNmDFu3buXo0aPUrVsXFIpOTEwMBw8epFmzZpQuXVruZGn8a1F3EpSNvxqr1Ur27Nnp168fp06d4urVq3KHSJJjs9lo3LgxTZs2Zfbs2fIBNABdunTh/v37NGrUiFmzZpGQkMDr1685efKkQycHVScEwNXVFZPJ5LBsTRl36Xrx4sUEBQUxYcIEBgwYwOTJkylZsiSbNm2S3UnvvoaGxj8YMmQIcXFxcsddp9MRFRXF3r17OXnyJJcvX+bgwYOcOnWKDh06yDOnUp2hLk9Wq5X169fz6aefcuHCBZYvX062bNmwWCz4+PiA4gC7Z8+e8ebNGwcl1c3NjZs3b7J//36OHj3KqVOnaN26tUP5V9dX6jgAVKlShYyMDGbMmCG7MRqNHD58GFdXV9LT0+VZrYyMDK5du0bt2rVxd3eX2y+pzrBarQQEBODm5sbs2bM5e/YsZ8+e5dy5c5QtW5YsWbKQnJwsK/KvX78mKSkJi8UiK8sSOvvhUVmyZEEIwYMHD2S7GzduUKlSJfLnz49F8X1hKR5KGdK/t7e3Q9pcv34dk8lEkSJFnNapSjNl/uXKlYvs2bPLB/g9efKEmJgYp4qpdO3h4cG2bdvw9PRk2LBh9O/fn2PHjlGkSBFSU1OZNWsWAwcO5Ny5c6xYsUL2J4WplAfIgwbSoWdGo5FLly7h7e1NamqqnL6HDx9+79kkpdxisTgMYHh6esry4uLiCA8Pf2/wXsLX1xcfHx/mzJkj5/GhQ4eoXLkyBoOBnj17cuPGDcqUKSMP2D558oQ//vgDFH0a7LPZnp6ezJ07F4v9YK7U1FT27dvHxYsX2bJlC7t37+bUqVMMHTqUjIwMhz6UMu+xl6tt27bh5ubGlStX2LZtG35+fpjNZrJnz45er5f9v3r1ilevXuHq6kpoaCgnTpzgl19+4fTp0/Tu3ZuMjAytn/URoSm6Gh8dykZGXdHnyJFDrsTXrVvHt99+q/D5j0bj559/pn79+lSrVo1Zs2bh4eHxnjIsjQ4DnDx5knnz5qHT6fjuu+/k5TcREREAHDp0iDt37tC3b19wMvqq8a9DynsXFxe2b99OvXr1qFu3LnXr1uX169fy8mMpL3v27En58uUd9tVZ7Scw22w2DAYDQ4cOxWw2k5GRgbu7OytWrCAoKIjFixcTEhJCu3btyJEjB7/++itjx44F+zupzHc3NzfGjRtHo0aNaNSoEe/evaNjx46g2KPboEEDatWqRYcOHTh9+jTnzp2jTZs2tG7dmnbt2tGyZUu6devG8ePHuXz5sizbWadYQ+NjRAhB+fLl+fXXX1m8eDFVq1alVq1a1K9fn6VLl8rfOJ05cyaLFy9mzZo1Dt+mlhQ5SZY0u1isWDFu3LjBiv+PvfcOr6JoG/8/5yQnPZSEGggh9I5AgNAJEAgtICV0AUWRLooioIBSpAlK7x2pUhTpTbq0QOiRKhAC6T05bX5/vGf3u+cQUN9Xn9+jzOe6znV2p9wzO7s799zTdvlyhg0bxrNnz9S0wsLC6NGjB/369WPYsGF2OwFbbLu1FylSBB8fH7799ltmzJjBmjVrVONFmyYaXeNo+NSvX5+vvvqKNWvWUKNGDRo2bEitWrWYP38+FStWpG/fvgwYMIBFixbRpk0bbty4wejRo+2uRZFvNpupUqUKoaGhDBw4kEWLFjF79mzq1avHjRs36NmzJ3nz5qVNmzZMnTqVkJAQLl++TKtWrUhKSmLcuHFMnDhRNVhzcnJo3rw5nTt3pn379sycOZMWLVpgsVgYMWIEWVlZdnpZe31K/hT/Tz75hFu3bhEREcGECRPo27cv7733HpUrV1aNJ60sbaeCUm8DlCtXjjp16jB27Fh69+7NpEmTcHV1tYurrTuFEBiNRtq0aUNWVhYLFixgw4YN9OjRgzFjxuDk5ETVqlXZtGkTGzduZMSIEWC7FiVPimylXAICAggNDeWTTz5h4sSJNG/enOXLl1O6dGkCAgIYPHgww4cP54svvlDzoFyD0WjE39+fxo0bM3v2bAYOHMizZ88IDw/n8uXLvP/++7Rp04bU1FTc3d3V+Npybdu2LXXr1qVDhw4sXbqUiRMn0qVLFx48eMDcuXNp27YtU6ZM4eLFi2qH/apVq/jwww/t8gNQvHhx5syZw8GDB6lduzYNGjSgQYMGTJkyBW9vb/Lnz8+4ceNYuXIl06dPx8XFRS2H3J5nnU5HYGAgsbGxrFixgsGDB3P9+nX0ej0+Pj707t2b4cOH8+6779K7d2/13hUuXBhvb2+2bNnC8uXLWbRokd1MDMm/H6eJEydOdHSUSP6tKJWbzjaduFKlSlSrVg1sFaqHhwfNmzdX13106dKF+vXr07BhQ1xdXfHx8aFy5cqULl2asmXLUqNGDcqVK0fevHlp3ry5OtXKxcWFvHnz0rRpU0wmEyVLlqRhw4aULFmScuXKUbJkSWrUqIGXlxdRUVE0bdqUzp07y8r3/ye8vb2pWLEipUuXply5cpQvX566deuSJ08ePD091XtrMBho2rQpxYsXV9dpGY1GypYtS+3atVVlXL58eYKCgqhevTp6vZ64uDguX75Mly5deO+99/D09GT16tV4enrSvXt3cHg2CxYsSMWKFQkMDKRy5cpMmjRJ3SzH29ubqlWrUqZMGcqUKUPFihWpWrUqXl5eREREkD9/foRt1EBZR1W/fn18fX3VhoR8ziSS/0Gn01G3bl3q1q1LWloaLi4udOvWjfHjx1OuXDkqVKjAuXPncHZ2pnXr1jRo0IDatWtjsa3db9SoEc7OzlitVgIDA2ncuDGtWrUiISGBCxcu0LFjR+rWrUuLFi0oVqwYtWrVIiYmhrS0NAYPHkybNm2oVKkSRYoUwdPTk3r16lGlShXeeOMNjhw5Qr58+ejSpQt169YlKCgIZ2dnAgMDqVu3LnrbtGKlPtKO5Ol0Oho1akS1atVIT0/Hzc2N5s2bM27cOIoWLUrTpk1xc3Pj559/JiAggK+++oo33ngDbLNIGjduTLFixXBycqJBgwYULFiQZs2aYTAYOH36NImJiXTo0IH69etTqFAh6taty6NHj4iJiaF79+60atWKokWLUrx4cS5fvkyFChWoW7curq6uNGnShMKFCxMWFobJZOLq1av4+fnxzTffUKZMGXQ6HZ6enjRs2BBfX1+cnZ0xGAzUq1ePIkWKIGxTh4UQlCxZkrp163Lt2jXi4uLo2rUrn3/+OXq9Xp2eHRoaSp48eezqPmdnZ4xGI8HBwQQEBKDX62ncuDGpqanEx8czevRoateuTY0aNShYsCB58uShcePGeHl5odfr8fLyokWLFuzYsYO7d+8ye/ZsWrVqxdOnT1m1ahVt27alf//+3L9/n19//ZXmzZtTr149mjRpgo+PD05OTjRr1oyCBQva3bPQ0FD0ej1RUVG88cYbfPzxx+TNm5ewsDB+++03jEYjX3/9NVWrVqVevXrkzZtXLStPT0+qVavG06dP0ev1tGzZkpo1axIYGEhUVBStWrXio48+ws/Pj0qVKmGxWKhWrZp635U4QgguXrxIdnY2YWFh1KtXDy8vL27evMnjx4/p2LEjH3/8MTqdjpkzZ1K6dOkX2i86nY5q1arRqFEjsrOzsVqthIWFMWHCBKpVq0atWrWIjIwkMzOT9u3bU79+ferXr49Op8PX15eQkBDc3NywWq3qeYsWLXBycuLIkSOEhIQQGhpKw4YNCQwMpFatWiQkJJCYmEivXr146623KFasGFWrVqVu3bpcvXqVhIQEOnbsSFBQEPXr17d7XyT/XnRC6S75k8jGkuTfjnzGJX8lVs0UvkuXLtGjRw+2bt1q19EinzeJ5P9f/sr38P8q6/8aX8vLZL3M/VW8Ks6r/P5O/pPpatN6//332b9/P9999x3e3t7MmzePffv2cfDgQcqVK+cY9f/Mf/I6HXFM++zZs/Tr148ff/yRsmXLqmH4m2cOOeZDy6v8JK8nf9jQ1QaTD5FEIpH8cRTlq/wrn5kKDQ1V3ZF1q0QikfxX41hXX7lyhZkzZxIdHY3ONhtnxIgRhIaGOsT896HsRN6sWTNVt1ltO2tLXSb5b+EPG7rInhKJRCL5S3E0gCUSiUTyz8JisZCeno5er8fV1fWluyb/W3iZvnqZu0Ty/yd/ytDF9pHqtLS0F3q1JBKJRJI7Sj2prW6FZp2ZdlRXIpFIJP/daDsotT9rLt+U/TehXKdyjbnpMWnw/vsxGAzqLvL/7fxpQzcpKUndLVZ5uP8u5Mtij1LWf0WZ/JWyJBLJ76Otz5T1uvI9lEgkkn8WinGn7AycW/39b+y81BryisGLw8wkJZzk34uwbdyq7Er/386fNnSTk5N59uzZKx9k7UsgHLZQ1/o7Hiso8ZSXylGWNrz25VJwDOOYHwXHc8UNB0MwtzCKm2Na2jw7hs3tXMFRTm5ujnG1/rnlSevmGFc5d8yvRCL5exGaHnCJRCKR/DNxbGu9DnW7bDNKhM3Q9ff3d/T6r+RPf7Dzjzzc2jBOTk4YDAYMBgN621b42orhZf9oGoTK8cviOuLs7IynpyfOzs7oNN+n1MpV/nOrqLTfFVP8tSjxHWXrbBWA4obDx8mdnZ1xc3N74QPk2utU3LDJV9JWwjn6a+Mo59o4yrlyrA2fmxzlXOsvkUj+OnJ7HyUSiUTyz+KPtLX+bWjbmhLJP4E/bej+GVJTU7l16xY3b97kxo0bREdHk5aWphqEub0s2mkR5GKUCpshmltcbNOp79y5w/Dhw9m7d+8Lawd0GuNRORa2j6Mr7opBTi7GsIJyDdpzJZx2OosSx9PTk59++ol33nmH69evYzAYVKNYG8exElGuVcmHIlcJq7gpYRV/7TXnFk9Be/yy8BKJRCKRSCQSiUTyT+JvM3S9vLyYNm0a4eHhdOjQgfbt29OuXTsOHDiAm5ubnYGnGFSKm5OTk92/9qfX61V3xTjVGqaurq5cu3aN7du3c+zYMSwWizpaqjUAHY+dnZ1V2YrBqJxrjT/lWBtXO0KrzY/W8HR1dSU6OpqDBw8SExODq6urKltJR4mnvR7FUNfr9WoeFT9tGCUfyrUq8RzlCCHU8tPr9Wp4bNfm6CaRSCQSiUQikUgk/zT+NotGp9ORmZmJ1Wqlb9++zJ49m+nTp1O/fn1SUlJISEjAaDTi5OSE0WhUz52dnbFYLMTFxREXF4fJZFINtKSkJBISEoiLi8NsNuPk5ITFYiEhIQGTyURaWhrPnz+nRYsWfPHFF/Tu3Ru9Xk9KSgqpqalgM+bS09PVc+XYZDKRkJBAQkICLi4uGI1G4uPjSUlJwWAwYLFYVKNcMYyFECQkJBAfH4/JZFLTUnal1ul0pKSkkJKSoo5UY5vObTQaSUpKAiAlJYW4uDjVME5ISCAxMRG9bbMDvV6Pi4uLmlZycrJqkCp5MJlMJCcnk5SUhMlkIikpiczMTHS2DoHExET1PCkpiaysLLKzs4mPjyc9PR1XV1eysrKIj48nKytLvT6JRCKRSCQSiUQi+afxtxi6jiOOLVu2ZMCAAfTp04fSpUvz/fffU69ePR4+fIinp6dqAP/222/ExMTQp08f6tevT7169Rg7dixeXl4sWbKEunXrUq9ePerXr8+ECRNwd3cnMTGRjh070q9fP5o0acLw4cMRQrB06VI2b95MamoqgwcPZvTo0eTJk4fo6GhCQ0MZP348BoOBVatWERoayvvvv0+9evUICQlh0aJFDBo0iHr16tGqVSsuXLiAh4eHen16vZ4nT54wcOBA6tevT3BwMIMGDcJsNvPOO+8wdepUXF1diY+Pp1OnTnz88ccYjUZ1pNTNzY3jx4/TuHFjPvnkExo3bkyDBg2YPHkyn3/+OcHBwTRu3JgNGzbg4eGB2Wzm66+/pmnTptSrV4+GDRsyceJEsrOzAejYsSMDBgygefPm9OjRg6ioKMLCwli2bBm+vr4cPHiQunXrsmbNGoxGI4MGDSI8PJxu3bpRr1492rdvz9q1a+natSv169enb9++xMXF2Y1USyQSiUQikUgkEsk/hb/F0NWuXQVYv349Y8aMYdKkSdy5c0cdKVRGPZ89e4YQAjc3NzZv3sz58+cZOHAgK1euJDg4GL1eT3x8POPHj2f79u106NCBrVu3snHjRjw8PMjOzub8+fNUq1YNPz8/dXQzPj4ei8VCdnY2WVlZ6PV6UlNT1dFjvV6PxWIhKSmJZ8+e8fbbb5OTk8PMmTPR6XS8/fbbJCQk8M0336hToIUQuLq6smjRIn7++WfefPNN5syZgxCCjIwMsrOzMZlMAGRmZpKeno7RaFSNfgUhBDk5ORw5coTOnTtTtGhR1q1bR2RkJMOGDcNsNrNw4UISEhLYvn078+fPp1y5csyfP59GjRqxYcMGFi5ciIeHB0ajkTNnzlC+fHnq1q1LTk4OWVlZmM1mnJ2dycjIAMBsNqPT6cjJyeHhw4cUKlSIHj16EBMTw/jx46levTotW7YkMjKSZcuW4erqapdniUQikUgkEolEIvkn8LcYusrIpWLc7d69mwULFrB69WpSUlLsjD5hWzOKzUAuUKAAAPv37yctLY2OHTuSlZXFxIkTqVChAikpKbi4uABw9+5d9Ho9ZrOZMmXK8N133zF16lSSk5NzXTcrbGtQlenHihvAkCFDGDt2LHXq1MHHx4fp06fTo0cPsE1vVoxXJycnnj9/TlRUFEWLFuWDDz4gIiKC5cuX4+npqaanhFXK4mWEhITw9ddf06VLFwBGjhzJyJEjqVWrFtnZ2WRkZHD8+HEAxowZQ/fu3Rk6dCgAV69excXFBavVSuHChVm+fDlTp07F09MTnWb3P+VfZ1s3bLFYKFy4MNOnT2fIkCG4ubnRoEEDVq1aRffu3QF49uyZLYcSiUQikUgkEolE8s/i1VbY/xKh2R0ZYMKECezZs4fNmzdTsWJFLBaLGs5gMKhGaVZWFj179mTChAmkpqYyYsQIhg8fzuPHjxk9ejR9+vRh3LhxnDhxAgCDwaBJ9X8MS2VtqfJTjFklTRcXF9Xw0+60rHPY3EoIgdFoBJvhrrg5OTnx6NEj7t+/j5+fH/ny5cNoNOLp6amGy8nJgVzyp0XJg4LWMDeZTGq+nJ2dSU5OBtuUZ2Vds4Ji0GqNdzSj6nrbJlba8Fq0646190xOW5ZIJBKJRCKRSCT/VP4WQxfNTsAAZcqUoVatWlSpUgUXFxfV6Dxy5Aj379/n/v37YDPCnj59So8ePTh27BjVq1fnzJkzREZGsm3bNsLCwrh27Zo6+qkYeAqKQasYpcoIpsFg4NatW5w/f55bt26paWnjWq1WdcMoxQhV/LWGpNlspnLlygQFBREZGcm5c+eIj49n48aNZGdnYzAYOHr0KFFRUZw5c4a0tLRcR3Ud09amqTWCLRYLgYGBABw9epTs7GwuX74MgK+vr51RrORd+d28eZP79+9z8+ZNNR0lrDaONq5i6DqWrUQikUgkEolEIpH8U3jRAvuL0Bpryg6/OTk5WK1WAgICMBgMLFiwgHbt2vHo0SOwjYBu2bKFsLAw3n//fW7evEm1atUoVaoUfn5+nDlzhk6dOrF69WqwGYFCCMxmM2iMV8VYM5vNeHp6UqpUKZKSkujfvz8zZsxQ86cYt2hGQLWGnvYatAahq6sr9erVw2q18uGHH9K6dWtmzpyJk5MTJUqUICcnh/fee48vv/zSzhBVUPKLZvRWkW82m+0MTqvVSrdu3fD09GThwoW0aNGCiRMnUqRIEYYMGUJ2drZqgCvxChYsSGBgICdPnqRly5Zs2bLFTrZSbtpyciQ3N4lEIpFIJBKJRCL5J+A0ceLEiY6OryInJ4f09PQXjDdHdDodRqORIkWK0LhxY/Lly6cajyVLliQwMJC8efNSuXJlPvjgA7y9valXrx7ly5cnIyNDNSZHjhxJxYoV8ff3x8nJibx589K8eXMqVqxIw4YN8ff3x2g0UrNmTWrUqKGOFut0OmrXrk3FihWpXbs2er2eIkWK0LNnT5o0aUKpUqWoXLkyRqORggUL0rBhQ3x8fLBYLJQrV46goCBcXFxwcnKidu3aVK1aFTQGco0aNShYsCA+Pj6UK1eOAQMGULZsWbu03nnnHapUqUKVKlWoVKkSOTk5eHl50bhxY/LkyYMQgpCQEMqWLUtWVhYFChSgYcOG5M+fHyEEpUuXJigoiNKlS9OgQQM8PDwoUKAAQUFBfPzxx6rMnJwcgoKCqFWrFkII8ufPT9WqVXF1daVEiRK8/fbbVKpUiRo1ahAQEIDFYqFq1arUqlVLHf2uVasWlStXVtciN27cmNKlS6vGsEQikUgkEolEInm9MRgM5M2b19H5vxKd0A5b/gFSUlKIjY39XUMX23pYZ2dnsrOz1em5SjwXFxe7EVgnJyd1dFLxs1qtmM1mzGazanQqKKOYJpNJ/QSPsjZWr9fj5uaG1WpV3VxdXdHbdllW8pCTk4PBYMDZ2RmTyaSmo6yzFULg7u6O1WpVP+WjpI3tGrRrYnNycnByclI3y7JYLDg5OWG1WtVvBLu4uJCdnY0QAg8PD3JycjAajbi4uGAwGDCZTJhMJtzc3NDr9WpYJycndc2vkj9lZFb59FFWVpaaR2W9MjbjXLl2o9GIq6srTk5OZGVlodPpcHV1RQhBdna2mn+LxaIavRKJRCKRSCQSieT1RrE7/P39Hb3+K/nThm5ycjKxsbHqGtyXRdcaV05OTqqRq/1XwmmNZiWeNpwSVhvfMW3FMMZmCCrxtLIVlDSUYyWMcqzIUdLJ7Ty3PGjR5v1l16MNp9frVbmKu9VqVeMq/tqyUPy1eVLQXqN23bJjXrAZ6Vp3rXytTIlEIpFIJBKJRPJ6Il4XQ1cxlHIzhLSGlNaAyy0pncZg1BpxWnKLp8VRtqOxpiU32YqbkofcjGCtvzJKyyvkOcpVwjq6a910tp2fnZycVONUK1eRoY2rGKlaN214JY72XLkG5XoUOUpcx3xKJBKJRCKRSCSS1xthM3RLlCjh6PVfyZ8ydIUQZGZmkpyc/MIIoCMv88vN6NK6Oxpyyr/WqHPcWVkrT5vmy2Q4GnTasLm55fbvOAKrTTM3v9xkOMZ9FbmF17rldqyk4xhXZzOoHQ1kbd5zuwaJRCKRSCQSiUTy+mIwGChQoICj838lf8rQVdAaRi/D0UByDOtoBCpujoZgbn5KnD+ThoKjfEc/Bcf8OebpVf+OcXKTqYRR3B3z4xj/ZXJzi6McK+Tmprjn5qbg6Pdv41Vl7nivFF7m51iWLwuXG0pYbdpC00HheF+1YRUc40h+H8fyza1stW6/N4vj99CG02m+2+0YVzmXHU0SyX+WV73LudXDufEyvz9Sz2B7/x3ffSWcQm7y/wiOaWvzoGC17ZmihP8rya1stGk4+v0ZHK/tr8Tx3mndtOcSyevC/+Vd/U/zvzJ0JZJ/A8qj76j0HRVXbv6vCqcca9FO31eUo3KsjKA7ynZMQytfITc3xV3yanIrX62fFsf7kpvfy45zc8stvmNehMNSColE8p8jt/dU6ezSvpOORmlu4Rzfb21Yx7rHUR84uvOSvDmGd8SxDnpVXeTo9n/BMV+OZfFH8v4ycitL5fivQuSyrM4xz//b/Eskkr8f2YKSvFZolRa5KCzlPDfFltu/VpZjHEWO0kDR6XTqvxJOaDYIc5SnlaGgcxgBzM1PKtw/hlL+WpTyVp4JpSxz66jQhlfkKf+Km8lk4tdff8VoNL4Q3/E+aWUp/9LIlUj+MzjWBQpad239rfj9npti9Cp+ONTjSr2Q2/uvHCsyhU2fONYfucXT4pgHx7pIcVd4WR31v+Vl+eJ3/F6Gtqy0OOY3tzB/FqXslXvqeN8kEsl/N7IVJXktsdo+XWUymVTFZTQaX+idNxqN6reZTSYT2dnZZGZmYjQa4SWKVZGjoLNNU83JySErK4vMzEyys7MxmUyqonSUk5sMs9lMenq6+skprcLVxjObzeq55OVoy9Bq+wSYtoGnfGJLZ+ugUO6J2Wy2C6tgsVjIyspSG0YAt2/fpl27djx+/Bhh+4RXZmYmWVlZ6r1SPoGGpvGk/XyYbExJJH8fVtunAZX3zGr7nKByrrzLRqNRdVN0gfIe41APC5tBqtQTWneLxUJ2drYaPzMz007vKHWAUj8o7tp6wGQy5VoHaY+15BYmJyeHzMxMuzpOQcn7X1X36HQ6rl69yvjx4zGZTBw7doxvvvmG1NRU9Rr+TFra69bpdCQmJnLjxg27Dsk/I+9V6Gwj9Nr7lZmZqS49EXI0VyL5r0YaupLXCkVB6nQ6PvroI95++20Anjx5QqlSpejVq5fd2skmTZqwdOlSAKZPn05gYCC1a9emUqVK9OrVi5iYGDuZ27dvp0iRInz11Vd2injFihWUKlWKoKAggoKCqF69OmvXrlV76RVlmZWVxRdffEGZMmXYsWOHKvfKlSvUq1ePGjVqEBAQQO/evUlMTLRLY/fu3ZQoUYJWrVqpjS/Jy1HKTgjBhx9+SEBAAD///LPq98MPPzB06FAAnj9/ToMGDTh48CCnTp2iRo0aavkrv7lz59KkSRO7DorRo0dTuXJlvLy8aNOmDRUrViQoKIgqVaowduxYNm3aRKlSpbhw4YKanw8++IAOHTrYNQIlEsnfQ2ZmJmXKlGHfvn0AzJkzhyJFirBw4UL13YuKiqJHjx5YLBZSUlLo1KkT5cuXJygoiPLlyzN37twXRlqHDRtGiRIlOHv2rOpmNBoZMGAApUuXpmbNmtSqVYuaNWvy6NEjNT86nY6zZ88SEBBAeHg4KSkpdvV8fHw8NWvWpGbNmty6dUuN9yq09ZTFYmHSpEmUKVOG6tWrU716dY4ePWoXtl+/fvj5+REZGWkn53+Dkvfo6GimTZuGxWLh2LFjLFmyhLS0NHDodPwjHD16lCtXrqhxDh06RK1atYiJiVHD/FV1p06nY8OGDQQGBqr3rFGjRpw5c8YxqEQi+S9EGrqS1xKdrRc4MTERALPZzJMnT9i2bRvbtm1Tw8XFxanKOC4uDm9vb5YuXcqUKVM4ffo0Y8aMUcOazWa2bt2KwWDghx9+4Pnz56qiTUlJwdnZmfnz57No0SIWLVpEaGgoaBRyUlISgwYNYsWKFSQnJ6vpAty5c4e2bduycuVKvvjiC3bs2MGWLVtU//j4eGbOnImbmxsXL17EZDKpfvxFU7j+rZjNZu7du0dsbCwzZswgOzsbgOzsbJKSksA2Wvv8+XOMRiPu7u7cuHGDQ4cOqTIyMjKYNm0aERER6kYuv/76Kzdv3qRNmzZ4enry8OFD2rRpw7Jly1i2bBnvvPMO4eHh+Pv7M3r0aLA14NauXcuAAQPw8fGR900i+ZuxWq08e/ZMfe+vX79OSkoK06dPVw0nk8lEXFycGv7p06c0atSI1atX06NHDz766CM2b96syoyJiWHHjh0kJiby3Xffqe4Az549o0SJEixbtoyFCxeyePFiChYsaBcmKSmJZ8+esXfvXk6dOmXnt2bNGq5du8bjx4/VPDnO4jGZTGqHm7DNEFE6P0+cOMH8+fP55JNPWLVqFd27d+e3335T4z548IDz589jtVrVTl6lHnIcKVVmsTimbzabyc7OfsHdYDCg0+lwcnJ6YRmP2WwmKytLnUGlTScnJ0eVZTKZGDx4MEuWLFHdatWqxaxZsyhUqJAqz2QyqTNjtPKUONq0XoYSJz09ndTUVMaNG8fSpUuZPXs2lSpVQthG6JURXwWlXLR6WAihnufk5Lygo7Fdm3Z2gYLRaHzBXXtPJBLJy5GGruS1xbHHV6fTUahQIWbPnk1CQgKAqpAVfH19adCgAd26daNZs2bcunWLzMxMABITEzl16hRjx47lypUrPHz4UI1ntVrJly8fISEhNGnShGbNmlGiRAmEbYobNuUXERHB2rVr8fb2tlNknTp1YuLEiTRq1IgePXrg5eVlZwgvX76chIQEBg0ahNlsfqFh8lf0bP/b0DYQdDodJUqUYM+ePezatcvOXfnX6XTk5ORQp04dmjdvbteAPX/+POnp6dStW1d1O3jwIFlZWbz99tvqVMjKlSvToEEDmjVrRsWKFcmbNy8ffvghx44dY+nSpcyaNYuaNWvSqVMnVY5EIvl70eoCIQR+fn5kZGQwZ84c1d9xvXzZsmWpU6cOw4cPp1y5chw/flz1O3nyJJUrV6Zbt27cuHGDjIwM1U8Igb+/Pw0aNKBp06Y0bdoUDw8PcKhvDAYDYWFhzJ49W63DMzMz2bhxI/Xr16d48eI4Ozszbdo0Pv74Y1X+w4cPCQkJ4d69e6SlpfH1119Trlw5WrZsydWrV7lz5w6JiYk0bdqUhg0bMn78ePr06aPWh7t376ZIkSL079+fCxcuvDBFVwl39epVhg8fTpEiRejXrx/Pnj0D4NixY3Ts2JESJUrQtWtXoqKi7K7N8RhbB1/9+vUpU6YMgwcPJi0tDZ1OR3p6OitWrKB27doEBwdz5MgRPvvsM27duqWOsu7fv5+4uDhWrVql6tJffvmFkJAQSpYsSYcOHbh9+zY62yydbt26sWfPHsqXL0+PHj24du2aXV60aPPp4eFB/fr1adSoEU2aNMHHx4dDhw7Rr18/vvzyS0qVKsXFixc5fvy4OprfsWNHfv31VwAuXbpEr169WLNmDdWqVSMkJISbN2+q8vfv30/Hjh0pXbo0U6dOVQ3yefPmUbVqVSpWrMi8efNAGrcSyZ9CGroSicYg/Pzzz4mOjrYzYhSlotfrSUlJITo6mj179rB3716aNGmiNlI2b95M/vz5CQsLIygoiLVr16oyDAYDT58+Zfr06UydOpXNmzerDQilAVW4cGHatm2Ll5eX3fRXbIby/fv3OXfunKpEu3TpArZp18uWLWPSpEn4+PjYxdM23iS5I2w97eHh4QwcOJCJEyeq90bxx6HRExQURGRkJPfv3wdg27Zt1KhRg5o1a6pxzp49S+vWrdX7q9friYmJ4d69e9y4cUPtTImIiGDAgAGMHj2aixcvMmPGDJycnNR05b2TSP5zWCwWqlWrxueff86qVau4ffs2BoMBq9VqpwuePHnCb7/9xrp163j48CG9evVSZSxfvhx/f3+++OILjh49yqVLl8D2LhsMBqKiovj666/56quv7KY2K/KtVivu7u6EhIRw+vRptZ7Zt28fqampDBgwgPT0dHQ6HQEBAXz77bc8ePAAgMOHD3P79m0KFizIxIkT+frrr5k4cSJt2rRh3LhxhISEULlyZdq1a8fq1avJyspSR1ezs7P58ccfKVasGAMHDiQmJob9+/er14Xt2hMTE1UjcdOmTVitVn788UdOnz5N165dKViwIIsWLSIhIYE+ffqQnJysznRBc52urq6cOXOG3r1707ZtW5YvX86VK1eYNGkSALNnz2bw4MEMHz6cHj168O2331KxYkW8vb0JDAykT58+VKhQgUePHnHt2jUMBgPHjx8nPDycSpUqsWLFCn777Td69OhBdnY2UVFRbN++nS+//JIpU6Zw7949hg0b9rt1rF6vx2QycffuXe7cucOdO3cAePz4MRs2bGDr1q3069eP7OxsFi5cSMGCBVm3bh2ZmZkMHjwYgN9++42tW7cyZcoU1ZDt168fGRkZnD17lq5du1K6dGnmzJnDnj17iI6OZv78+UydOpXRo0czceJEvvnmG7Zt22bX4eDYaSCRSBwQEslrSu/evUXbtm2FEEI8fPhQAOKXX34Rn376qShWrJhISUkRFSpUEDNnzhRCCPHxxx8LZ2dnUbt2baHX60WHDh1Edna2Kq9+/fpi+PDhQggh5s+fLwoVKiSSkpKEEELMmTNHODs7i2rVqomKFSuK7t27i/T0dDWu1WoVVqtVCCHEL7/8IooWLSpWrFih+icnJ4vevXuLWrVqifz584uuXbuKZ8+eCSGEeP/998Wbb74phBBi0aJFwsPDQ2RkZKhxhU2+JHeMRqNo3bq1GDJkiDh//rzw8fERCxYsEDt27BARERFCCCGePn0qAgICxKZNm4QQQly7dk24ubmJDRs2iOzsbFGjRg3x4YcfqjLv3LkjnJycxNGjR4UQQjx79kxUr15d6HQ64eHhIQAxa9YsNfy+ffsEIEJDQ9VnSvtMSCSSv4eUlBTh4uIitm/fLoRNL4SEhIiYmBhRuXJl8e6774rIyEjRuHFjYTKZREJCgggODhZFixYV/v7+AhBz585V5Z05c0YUKVJEHD16VJjNZtGwYUPRq1cvIYQQWVlZIjw8XHh4eIjq1auL8uXLi/nz5wvh8L7v3r1buLu7iwsXLoiyZcuKkSNHCiGE6Ny5s+jWrZs4cuSI8Pf3F6dPnxaxsbGiePHiYsGCBUIIIerUqSM+//xz8fDhQxEQECDGjRun5i0lJUUIIcTdu3dFr169hIeHh6hfv76Ijo4WQghx6dIl4eTkJK5duyaEEKJWrVri3XffVeNbLBYhhBDbtm0THh4eIioqSghbHWo2m8XIkSNFqVKl1PC3bt0Snp6eYsWKFWL//v3C09NTZGZmikmTJolKlSqJ2NhY8cknn4gGDRqIq1evivv374vhw4eLQoUKicTERBEQECBGjRqlyktNTRVWq1WUL19eDBkyRHX/7rvvhIeHhxBCiF69eokWLVqo9eilS5cEIC5duiSmTJki8ufPr+b7q6++EtWqVRPx8fGqrNxYunSpAIS7u7swGAyiXLlyIiEhQaxdu1YA4urVq3bhU1NTxd27d8XUqVOFl5eXyMjIEDt27BDu7u7i5MmTQgghTp48KXQ6nXjw4IEYNGiQKFeunJrnrKwskZiYKBo0aCD69+8voqOjxd27d0X9+vVVXS+kjpBI/hByRFcicRi1Gzp0KM7OznzzzTd209VMJhOVKlVi7969fPbZZ5w9e5bHjx+Dbd1TVFQUx48fZ8SIEWzZsoXnz5+zfft2NW7p0qXZu3cvhw8fZsmSJXh6eqKMJDtO69L2MAshyJs3LwsXLmT37t38+OOPHDt2jPHjx3Pu3DnWrFlD9erVOXDgAJGRkZjNZo4ePUpWVpadDIk92jKx2nZeDQoK4t133+Wbb77h7t27ODs7q/46zfTGypUrU7duXY4fP87Ro0e5e/cuQ4YMUeVt3ryZChUqUL58edXNbDYzZMgQDh48yJEjR+jevTvY1l9NmzaNxo0bExkZqT4zEonk/x9MJhO+vr6MHTuWXbt2sW/fPtzc3NQ6w2w20717dw4ePEijRo04cOCAuuby8uXLxMbGsm7dOoYOHUpKSgr79+8nOTkZnW35Q5MmTTh8+DBHjhxRN0R0xGQyUaZMGVq2bMnhw4c5c+YM+/btY/jw4eqMD6PRSOHChWndujXr1q3j4sWLPHnyhKZNm5KTk0NOTg4lS5YEW32XJ08ehBCUKlWKtWvXsn//fpKSktS6a9++fVgsFiZPnsz7779PZmYmu3btUqclK/Wf2WzGYDBQunRpsM1YcnJyIikpCVdXV/UaAgMDKVCgADk5OVitVnWmklKXmkwmnj9/ztWrV+nZsycdOnRg586dBAYGImzLetzd3VV53t7e6rF21pMyIi2E4O7duxQqVEjNh5+fH6VKleLKlStYrVaKFStG1apV1bi8YlRUe7+9vb1Zvnw5R44cYe3atfj4+GC1WnFxcaFAgQJqnFWrVtG6dWs6duzIggULcHFxUfVHvnz5KFy4MNjSVEa5zWYz7u7uuLq6IoTAzc2NlJQUEhIS+Omnn+jcuTNvvvkm0dHRanyp0yWSP4Y0dCWvLVoDU/k3mUwUK1aMcePGsWjRIu7du6cqI6vViqurK76+vgwcOJC8efMydepUAA4cOEBWVhZvvPEGSUlJlC1bFk9PT86fP6+mZTAY8PPzo2jRouTJk8cu3dyMXcXIUty9vb0pUqQIDRo0oFatWuqmU82bN+fmzZssX76cCxcuYDKZOHDgAOnp6apsx/VlkhcbN8p9/vDDD3F2dmb9+vWqm9KI0vLuu++yc+dOdu7cSWhoKKVKlQLb1Mddu3YRGhpK0aJF1fhWq5Xy5ctTv359QkJC8PPzA2DhwoVcvnyZ6dOn06tXLz777DMyMjLUxqBEIvn70dbFTk5OWCwWevbsSc2aNVm5ciXZ2dl2uiBfvnyUL1+eMWPGsHv3bnXX5kWLFhEUFIQQgqysLKpUqYIQgl27dqnGl4eHB76+vvj5+dkZco76wGQyMWrUKHWKbd26dalZs+YLnzTq0qULCQkJfPjhhxQqVIgGDRqohuDz58/VsMr+DYpOaNiwIb169eLKlSvExsaydetWqlatiqenJzk5OVSqVInMzEyuXLnyQv6MRqO6GZbipuRZ4fnz5yQnJ6udBE5OTmo+FJ1ksVioUqUKx44d49ixY1y+fJnjx4/j4eGhGoharLZPHxkMBjs3bPlTlhgp9XVycjL37t2jUqVKaj2sRVu3WzXT0xU/bNfm6upKcHAwDRs2VPdicNQJly5dYvTo0QwZMoTIyEgmTJhATk4Oer1evRatTKXMsJUDDnrJZDLRtWtXzp8/r3aozp07V/WXSCS/j2z9Sl5LhK23WFHKjsqvY8eOFCpUiOzsbFUBmc1m9djPz4+2bdty5swZbt26xapVq3j77bdZtWoVa9euZfny5UybNo1t27bx7Nkz9Ho9CQkJbNy4kQ0bNrBu3TquX7+upqco/2PHjvHjjz+SkZHBsWPH2LVrFybbLpODBw8mOjqa5cuXc/ToUbp27UqDBg3YtWsXGzduZMuWLfTt2xe9Xs/UqVMpWLDgC4pY8v9QykbYds5UnoVChQoxcOBALl++jMn2rWMljHaXzuDgYLy9vVmyZAlt27ZV3ffu3ctvv/3Gu+++q7opz1qOwzdzo6OjmTt3LkOHDiU4OJiePXuSkJCgrlGTSCR/PxaLRd38R6nnlXd9/Pjx/Prrr8TGxqqGktU2AwSgfv361K5dm/Xr13P58mVu3LjBhAkTWLlyJatXr+a7776jZMmS7Ny5k7S0NPR6PXfu3GHTpk2qLlBGe7X5UX5+fn5UqVKFixcv0r59e9zc3DCZTHZ5DAkJwdnZmePHj9OsWTNcXV0pV64cdevWZfny5Zw/f54lS5bQpUsXVq1aRZs2bfjxxx/ZuHEj3377LcHBwVy/fp2HDx/y5Zdfsnz5clatWsWGDRuoU6cOixYtUvOGbZdjX19fPvjgA27fvs2QIUNYs2YNjRs3JiYmhjlz5nDnzh1GjRpF6dKlCQ8PJ0ez87NS3xoMBpo3b05kZCS7d+8mMzOT69ev8/XXX+Pm5kajRo1YtGgRe/fuZd26dfTt2xez2UxQUBC7d+/m+PHjqn41m81YrVb69OnDoUOHWLx4Mbdu3WLIkCFUrlyZihUrkpWVZafrjUYjFosFg8HAzZs3adu2rfpJJaXe1+bXsZ2g1OtKOLPZrObjzp07zJs3D2dnZzsdo9Uh2vt39+5dZsyYwYULF9SOi9DQUH766ScuXrxIRkYG27ZtY9WqVWp8iUTy+zhNnDhxoqOjRPJvRelB1el03L59m2LFitGkSRNSUlL45Zdf6NevH/ny5cPT05PAwEBMJhOtW7emdOnSxMXFkTdvXlq0aAG2aVlnzpyhevXqXL9+nS+++EL9vAFAqVKlOHDgAK1atcLb25uUlBTu3LnD3bt3+fXXXylRogRly5YFm9GTnJzM6tWrefDgAVWqVMFkMvHw4UNq1KiBTqfj+PHjzJw5k7NnzzJw4EA+/fRTtYdcaSTFxMRgMBjo3Lmz2mOu7bHWNqZed5Sy0Ov1XL58mbJly1KvXj0AqlWrRk5ODm+88QZ16tTBYrFw+/ZtwsLCKFasGAA+Pj7q7qBDhgxRNwJbs2YN6enpfPLJJ+rzptfruX37NsHBwVSoUEF1P3bsGNHR0SxevBiDwUCxYsVwcXHh6tWrtG3b1m7UQiKR/PVYrVbu3btHy5YtKV68OA8fPsTNzY22bdvi5OSEn58fPj4+FC5cmFatWgFw48YNateuTdWqVXFzc0On0/H48WN1t/zBgwermxQqaTx8+JBWrVqpBt+dO3f49ddfuXfvHk2bNlXj6nQ6MjIySEpK4s0338TT05NChQqRkpLCuHHj8PLyIicnh3v37tGhQwcKFCigTmXeu3cv8+fPp2jRouh0OmrWrMmDBw+YNGkSN2/e5O2336Zq1aqcO3eOBQsWcPjwYTp37sz8+fOJjIxEp9OpM1qEEDg7O6t1V0REhKpLfH19CQwM5Oeff2b69Ol4eHgQERFB27ZtKVy4MCtXrmTu3LkUKlSI5cuXU7x4cZKSksjKyqJDhw6kpaWRnJxMx44dqVu3LoUKFWLp0qVMnTqVS5cuqbOWGjVqRExMDLNmzeLatWu0atWKhg0bUrNmTY4cOcKyZcuoW7cuBQsWxGKx0K5dO2rXrk3hwoWZO3cuc+fOpWrVqixcuJBixYqRnp6OxWKhTZs26Gy7OqemptKlSxdu3brFjBkz6N69O/7+/qp+0Nm+XZycnEzXrl3x8PBQ71NMTAzZ2dlERETg6upKsWLFKFiwIOPGjePYsWNUqlSJypUr0759ezIyMnj+/DldunTBw8ODlJQUnj9/TqdOnahTpw4Gg4FVq1axZcsWqlSpQteuXXnzzTdJSEhg+vTpfPvtt2RlZdGyZUt1yriC1OsSycvRCaUFLJG8BmgNvszMTPR6PW5ubhiNRlJSUuxGQRXloSg1YRsFVhoVQghSUlLw8PAgIyND/e6pElan05GSkoKrqytubm52+VBQ5OhsIwXanSkVrFYrer0eo9HI48ePcXV1xc/PT00HjTGrjDJo03O8HsmLpKamYjAYcHd3f6G8lPOsrCy18arcM7Pt24/K2rGUlBTq1q3LqFGjGDBggJ2sjIwMXF1d1edHr9eTkZGB2Wwmb968alir1UpSUhIFChRQ05FIJH8PQvOJNycnJ/Wbpd7e3qq70mmo1MXp6em4ubmpy0ssFguJiYn4+PiQnJyMj4+PnR4wmUykpaW9sCu+giJXqz+UdbDY5GdmZuLl5aXWB6mpqWq9o9PpePfdd7l58yYHDhxQp/3q9Xqys7N5/PgxefPmVb/Xa7FYuH//Pnq9Xl1ykZ2djdVqtTPkhE0/xcXFUbhwYayaqcQ6W+fs8+fPKVGihJ3OiY+PJykpCX9/f9XdYrEgbNOXrVYrKSkpdjozOTmZ2NhYChUq9MI3xO/evUu+fPns6sTk5GSSk5PtjFJtGcbGxpKcnEzJkiXt8paVlaVOFxdCkJ6ejre3N6NGjeL+/ft899136lpZbNepree1dbLyrWAvLy9VvhCCBw8e4O3tTYECBTCbzTg7O78gQxnhVXSOTqfj6dOnmEwm9dODSvqPHz8mMzNTLWdtHrTHEonkRaShK3mt0CoPrYJwbGg4orhrXxfHcI5+jnEcwys4xlPctMfCYZ2t42ursxnKuYV5WbqSF8vI8V44NnSVMI73VXGLi4tj8uTJjBw5kpIlS770PmnvieNz5RhO3j+J5O/BsZ7lFXWB4qaNo7hp6wfFTfnXvsOOaWhxzEtux8q5Y5pJSUlUqFCBTz75hI8++kjVBbnphNzypJWvrXe08bV5f1nZaM8d3ZR0cnNzRAnjeJ2vCv9H5PGS/BqNRiZPnkz37t2pVKnSC3WvtjwVN8f0XpaGo78ST3ttWj/tudZNQeun4BhGIpH8P6ShK3mtcFQ2WnJTQPyOsnI8Vs61YbVoFVJucRR3rRLNLR2tvxat/6vcJP+D4711vHeO5ex4T19Vpo5hcXg2XnWPhe0ZzO0eSySSv4bc3r+XuTuGUcJp/R39tO+z7hUGrzasowwlnGOetPEzMzO5c+cO/v7+5M+f306Okr5SnzjGfVWaWjddLp1vjvnTxtOm5YjjdWjdFbRp5XbtSnjHPGhlKDiWB3/w+h3TU9y1vKyT/GVxte6OeRa5dKQ4pqfF8VokEsmLSENXIpFI/mJyq1aVBozyLxsnEonkdUBb9/EKY/jP1ImOBqPi5mg8SiSS1xu567JEIpH8hWh75XPrmXd0l0gkkn8rSn2Ig0GqNVT/rGHqaOQK2zprrZHrmIZEInk9kSO6EolE8hehbbC9rPHm2OiTSCSSfzNa4xNb3ee4V4Hi/kfJrenqmMbL6mCJRPL6IEd0JRKJ5C9CacApx0ajkZs3b6q7YUsjVyKRvE44jr4qOG7E9GdwNJzJxbCVRq5EIkEaupLXGavVqholaD5/4BhGcRO2TwKYzWa7j747InKZMqWNq/2ofG4oYXOTocTNDcfrkfxxlDJ3dNOWp/IsOLorKPdHa+wq39797bffwPaMKffwVc+SyWTKNQ2JRPLX41jfaut9rZv2WHl/X/aevqqecNQFuZFbHhRyq6/+LMrnbXLLIw7X+39Fp9Nx9epVxo8fj8Vi4dChQ8yePZvU1NQXdqz+IygGrM62DCQpKYlbt279pXnWkts9e9m9kUgk/138+RpGIvmXMHz4cPr27QvA06dPKVGiBN27d7cL06RJExYvXgzA1KlTKVy4MCVLlqRkyZL06tWL2NhY0PRKb9myBR8fHyZNmmQnZ8WKFfj5+VGqVCkCAwMpUaIES5cutQuDzcCZNGkSxYoVY/v27ar7lStXqF27NsWLF6dw4cJ8+OGH6ighQGRkJI0bN6Znz56qm+SPYbVa+eCDDwgMDOTChQuq+65duxg0aBAAz549Izg4mAMHDvDzzz9TpkwZ4uPjNVJg/vz5NGjQAKvmkxyffPIJ1apVw9PTk9DQUPz9/SlVqhTFihVjxIgRrF27Fj8/P6KiolQ5gwcPJiwsjISEBI10iUTyd5Cenk6pUqXYt28fADNnzsTX15d169apYSIjI4mIiMBsNpOUlER4eDh+fn4EBARQpkwZ5s+f/4KhPGjQIEqUKMGZM2dU9+zsbPr370/RokUJDAxU9cGdO3fUMAAnTpygcOHChIeHk5qaaucXGxtL+fLlqV69Ojdv3gRN56ryU1COtW5ms1nVMSVLlqRMmTIcPXpU9Qfo1asXfn5+XLx4UXVzlOWYnuO5gmKU3r59m+nTp2MymTh+/DjLli0jLS1NDaMdiXXE8ZrOnj3L7du31TgHDhygVq1axMXFgUZebrLIJQ3HcwXFff369ar+DggIoEqVKpw8edIx+Asohrdj/rXHr0rb0V85zs1NIpHkjjR0Ja8tSUlJJCYmApCTk0NMTAw7d+5k165dapinT5+qDY24uDi8vb1ZtGgREyZM4Oeff2b8+PGgmbL6ww8/YLFY2L9/v50hlJCQgMFgYM6cOcybN48FCxbQrFkz0CiqpKQkBg8ezJIlS0hLS1MbAQAXL14kODiYlStXMnDgQBYsWMB3330HwNq1a+nTpw/Xrl0jJSVFjSP5Y5jNZu7fv8+jR4/46quv1JGS9PR0EhISELaRmdjYWLKysnB3d+f+/fucOnVKlZGRkcGkSZPo3r07Tk5OYGvY3bhxg44dO+Lt7c2TJ08ICwtj8eLFLFy4kL59+9K5c2dKlSrFmDFjADhz5gzbtm1j+PDhFCxY8IWGjkQi+WsRQvD06VOys7MBuHnzJsnJyYwfP56kpCSw1RHPnz9H2Eb2nj17RqNGjVi5ciWdOnVi2LBh7N69W5UZGxvL9u3befLkiZ3BLIQgNjaWkiVLsmjRIubOncu3335L4cKF1TAAKSkpxMfHs3v3bk6cOKHGxdZp+uuvvxITE/NCZ5ti+Flts3sUY085Bzh9+jSLFi1i+PDhrFixgoiICNVgBnjy5AkXLlwgLS2NlStXqvK0CM20YIvFoqaFZgqxMtqt5Fun02EwGNDpdDg5OaHX69U4ikzt6La23tPm32Kx0Lt3b+bMmaO61alTh4ULF1KwYEE1jjICq8hR6lIl768ajXckIyOD9PR0xowZw6JFi5gxYwbly5cHjVzHvGvPtfdFaSsox9oysNpmCmhxDK+kJ5FI/hjS0JW8tuh0OnXkTVE4xYsX56uvvlIbEHq93m4tUeHChWnfvj0DBgygcePGXLlyhaysLLAZwkeOHGHSpElcvnyZ+/fva1IDX19fOnfuTMeOHXnzzTcpV66cncIym820bduWFStWkDdvXju/t956i7lz59KmTRvGjBmDt7e3Oprs7e3N2rVriYiIwGQyqXEkr0bbAAMoU6YMP/zwA+vXrwfbvXd2dlb9nZycsFgs1K1bl2bNmrFmzRpVVmRkJBkZGQQFBaluBw8eJDs7m4iICHJychBCUKdOHdq2bUvnzp2pXbs2efPmZfTo0Rw4cIDFixfzzTffULVqVdq3b/9C/iQSyV+PYvgo75kQghIlSpCVlaXOzNH6K4ZHtWrVaNWqFSNGjKBs2bIcOXJElbl//34qVarEgAEDiIqKIjk52U5OyZIladeuHR07dqRTp054e3vb1fc6nQ5nZ2eaNGnCihUrVDej0ci2bdsIDg7Gz88PJycnZs2axaeffqoaVg8ePODNN9/kyZMnpKSk8PXXX9OgQQPatWvHuXPnuH//PvHx8YSGhhIWFsZXX33FwIED1fS3bNlC0aJFGTRoEGfOnCErK+uF9bQ621Tk9957jzp16vDuu+/y6NEjdDodJ0+epEuXLgQHB9O9e3e7UWEFxchVyvTgwYO0bNmS+vXrM3ToUBITE9HpdKSnp7NkyRJCQkJo1aoVhw8fZvbs2dy7d49du3bRoEEDTp8+TUJCgtrJDPDzzz/Ttm1b6tWrR48ePbh+/To6nY4ff/yRgQMHsmnTJho0aEDv3r2Jior63TpWCIGHhwetWrUiPDyc8PBwChUqxLFjx3jvvfeYNWsWwcHBXLx4kcOHDzNw4EDq1q1Lt27d1Nk6Fy9eZODAgSxevJiQkBDat29vN4No//79REREUK9ePSZPnkx2djY6nY5vv/2WJk2a0LBhQ+bNmwe28lOM9N/Lu0TyuiMNXYnEhhCCTz/9lOjoaLUXXqtEdDodGRkZ3L9/n8OHD3Pq1CmaN2+Ou7s7ANu2baNQoUK0bt2aatWqsXHjRjWus7MzMTExfPnll0yYMIFNmzbZ9fharVYKFixIx44d8fX1tWv0WK1WnJ2d1cbGpUuXSE9PJ2/evAC8+eab1KxZE90rpmpJXo3JZCIsLIz+/fszZcoUjEYjTk5OL/T4Kw2p4OBgrly5wqNHj8A2ta1WrVrUrl0bbPfszJkz6miu1Tad+fHjxzx8+JDbt2+rU5M7duxInz59+PTTTzly5AhTp061G+2Q91Qi+c9hNpupXLkyn3zyCatXr+bmzZsYDAbQ6AO9Xs/Tp0959OgRGzdu5Pnz50RERKgyvv/+e0qXLs3o0aM5ffo0165dU/2cnJyIjIxk0qRJTJgwgXPnzoHDe64YVuHh4ezfv5+7d++CzRjKyMigX79+pKeno9frKVy4MF9//TVPnjwB27TnM2fOkCdPHqZMmcKsWbPo168fDRs2ZMqUKdSvX5+yZcsSERHB6tWr1bpOMaQPHz5MQEAA/fv3JzY2Vh1RVgxTnU7H8+fP6d27N9evX2fs2LGkp6dz4MABzp07R/fu3cmXLx8fffQRjx8/ZsCAAS9di2swGDh16hTvvPMODRo0YMyYMVy8eJGpU6cCMG3aND788EN69uxJ8+bNWbBgAYUKFcLLy4siRYoQEhKCv78/9+7d46effsLZ2Zljx47RrVs3/P39GTt2LNHR0fTp04fs7GwuX77MsmXLWLBgAQMHDuTWrVt88MEHdro4N4RthPbBgwfcv3+fe/fuAXD//n2WL1/OmjVrCAsLw2QysXLlSgoUKMD48eOJi4vjww8/BODhw4csX76cuXPnMnDgQBITExk4cCBpaWmcPHmS7t27U6RIEYYNG8a+ffu4c+cO8+fPZ+bMmfTr149+/foxZ84cdUmTY+eDRCJ5CUIieU3p1auXaNeunRBCiAcPHghAnDt3Tnz22WciMDBQZGZmivLly4uZM2cKIYQYNWqU8PDwECEhIQIQ4eHhIiMjQ5VXv359MXToUCGEEPPmzRNFihQRKSkpQgghZs+eLVxdXUWdOnVEjRo1RM+ePUV6eroa12q1CovFIoQQ4ty5c6Jo0aJi+fLlqp9CZmamCA0NFdWqVROJiYl2/gMGDBDNmjVTw0r+GEajUYSFhYlBgwaJy5cvi0KFCoklS5aIHTt2iIiICGG1WkVMTIwoWbKk2LRpkxBCiJs3bwp3d3exdu1akZ2dLWrWrClGjhypynz48KHQ6/Xi559/FkII8fz5c1GtWjUBqL+JEyeq4fft2ycA0aJFC5GZmSmE7b5q771EIvnrSUlJES4uLmLHjh1C2PRCSEiIePr0qahevbpaLzRq1EgYjUaRkJAg6tSpI/z9/UXx4sUFIObNm6fKO3funChWrJg4fPiwsFgsomnTpqJfv35CCCGys7NF+/bthZeXlwgKChJVq1YVixYtEsKhnv/hhx+Eu7u7uHz5sqhQoYIYNWqUEEKIiIgI0aFDB3H48GHh7+8vTp8+LZ49eyZKlCgh5syZI4RND3322WfiwYMHokSJEmLs2LGqXEVn3LhxQ/Tu3Vu4u7uLBg0aiNu3bwshhIiMjBQGg0HcuHFDCCFEcHCwGDRokBpfyeO2bduEp6enuHbtmhBCiJycHGEymcRHH30kAgMD1fBXr14Vnp6eYvXq1WLv3r3C3d1dZGVliS+//FJUrlxZxMbGio8//lgEBweLixcvilu3bolBgwaJwoULi/j4eBEQECA++eQTVV5ycrKwWCyiXLlyYsiQIar7d999Jzw9PYXVahXdu3cXrVq1EkajUQghxC+//CIAcfXqVTFlyhTh6+urXt+UKVNE1apVRVxcnCpLi3K9S5Yssau7S5QoIZ48eSLWr18vABEVFWUXLyUlRdy6dUt8+eWXwtvbW6Snp4udO3cKd3d3cerUKSGEED///LPQ6/XiwYMHYvDgwaJixYrCZDIJIYRIS0sTCQkJon79+uKtt94S169fF9evXxdBQUGiS5cuajpSR0gkv8+LXWwSyWuAMl1N6Q3V9ooOGTIEs9nMnDlz7EbWjEYj5cuXZ/fu3YwdO5ZffvlFXeN78OBBLly4wIEDB+jevTsrVqwgNjaWDRs2gG2UIDAwkD179nDo0CGWLl2Kh4eHmiaaHlqrbV2Tdlq1kr8vv/ySc+fOsXDhQvLnz6/6k0vPruO55NWYzWaqV69O//79mTVrFr/++qu6pkxBOS5fvjyVKlXi4sWLHD16lOjoaEaOHKmG27x5M2XLlqVMmTKqm9ls5p133mH37t18//33vPXWW2AbTf7ss89o3rw558+fZ+fOnWociUTy9yJy2VTJYrFQsGBBPvnkEzZv3swPP/yAu7u7+v5brVZ69OjBnj17CAkJ4fjx4+psj/Pnz/PkyRO++eYbunbtyqNHj/jpp59ISkpSR01DQkI4evQoR48epV+/fnb5UTCZTAQGBhIUFMSPP/7IkSNH+OGHHxg1apS6D4DZbKZQoUKEhoaybt06Tp8+zcOHDwkNDSUnJ4ecnBxKlSqlylR0RsWKFVm3bh179uwhLi6OYcOGAbB9+3ZMJhMjRoygU6dOxMbGsmnTJmJiYlQZ2PLm7OxMYGAgAC4uLjg7OxMXF6fOcAIoXbo0Pj4+6vpnJd+K/jWZTMTGxnL16lV69uxJhw4d+OGHH/Dz81Pvg5ubmypPmcWEw7phZaQZ29RtHx8fdRS+ePHi+Pv7c/nyZSwWC0WLFqVixYqgWZqkrePR6E7t/fb09GTx4sX88MMPrFy5Ej8/P4xGI66urnZrg7/55hvatGlDx44dWbRoEQaDAb1ej8ViwcfHR12PrV0WYzQa1TIE8PLyIjU1lYSEBPbu3UunTp3o3Lkzd+/excfHR00LOXVZIvldpKErea3QGn/aY8WoNJvNFClShBEjRjBnzhzu3r2rKmdsysnDw4MRI0ZQsGBBvvrqK7BtIuTk5ESzZs3w8PCgfv36eHl5qetzhBAYDAZ8fX3x8fHB09PzBQWl5EeZRqb1t1qtfPbZZ3z33Xfs3buXBg0a2MXBpvC0eVUQL/nMxeuOY+NWKe/hw4eTnZ3N+vXr0b2kM0Sn0/HBBx+wefNmdu3aRcuWLfH391fDbdmyhXbt2uHn52eXVvXq1Wnbti2dOnVSG4krV67k4cOHTJ8+nXfffZcvvviCrKwsu7QlEsnfh9bY0Rof3bt3p3Llyqxdu1ZdM6m8kx4eHlStWpXRo0ezdetWdY3u2rVr1TW0Pj4+1K9fH71ez759+9SOM4PBgJeXF76+vqoh5/i+62xG8eeff05sbCyjR4+madOmBAcHYzQa7er1du3akZqayuTJkylUqBC1atUC23UpOxEDZGZmkpOTo07Vbdq0KX369CEyMpLnz5+zb98+atasSalSpfD19SU4OBiz2Ww39VrBbDara4+xLeswGAwYjUbVLTY2ltTUVLWTQOkMUK5V0XN16tTh6tWrREVF8eDBAy5duoSXl9cL9Z/ZtrmU2WxWjUI0ncPYZCv7ZmDb2OvRo0dUrFgx1zLWnmdnZ2OxWF5wF0Lg7u5OaGgo7du3p3nz5qqflmvXrjFr1izeeecdbt68qS6DUTaS0uphxU3bwa1F0Rl9+/bl1q1bXL58mbi4OBYvXqz6OZaPRCJ5EWnoSl4rtArMrNl10VFh9OnTh8KFC2M0GtVGgclkUhV1oUKFCAkJ4dChQ9y4cYNVq1bRr18/Fi1axMqVK1mwYAFjx45l8+bNxMbGotfref78OatWrWLVqlWsXLmSK1euqGkr+Tp48CDbtm0jNTWVw4cPs337dsxmM3PnzmXKlCmEhYXx8OFDVqxYwcGDB9HpdDx8+JCNGzdy/fp1Hj9+zNq1azl//rwqU7k2x2t83VEaWdieBeXe+vn5MXToUKKiouyeD4vFYrcjZlBQEC4uLixevJg2bdqo7gcOHODp06f06dNHdUPz3Uot9+7d4+uvv+add96hVq1a9OjRg4SEBGbNmgW2hqq8bxLJ34vJZFLreYvtm7rKuvrx48dz584dnj17ZjeSqhh0devWJSgoiBUrVnDx4kUuXrzI559/zuLFi1m2bBlr166lePHibNy4kfT0dABu3brF+vXrVV2g7JavvOsWzTe2AwMDqVatGhcuXCA0NBRnZ2dVFyn1U/v27XF2dmbv3r2EhYXh6elJuXLlqFevHkuXLuXs2bPMnz+fPn368N1339GlSxc2b97MkiVLmDdvHs2bN+fq1as8ePCAL774Qs37ypUrqVGjBvPnzwdNJ0CtWrXw9fVl8ODBXLt2jcGDB7NmzRpatGhBQkICCxYs4ObNm3z66afqxltZWVkv6FKDwUCLFi04d+4cmzZt4unTpxw+fJgZM2bg5uZGSEgIa9asYf/+/axbt46BAwdiNBqpU6cOe/bs4eDBg8TExKDX61UjuG/fvhw9epRFixZx9epVPv30U2rVqkWFChXIyspS7y+2zgxsa4Wjo6Pp1KkTkZGR6rVq74e2LaDVqdpvEaenp6trp2/evMmiRYvsDFmtntFpdn5u1aoVjx8/Zvbs2Zw/f56ePXuSkJBA8+bN2blzJ6dOneLJkyesXbuWTZs2qXlT7odEInk5ThMnTpzo6CiR/FtRFJROp+P27dsULFiQZs2akZ6ezsmTJ3nrrbfUEdcSJUqQkpJC27ZtKVu2LE+fPsXd3Z2wsDAASpYsyZkzZ6hSpQrXr1/ns88+o3DhwmpPbalSpTh48CBt27bFxcWFuLg47ty5Q3R0NLdu3SIgIIAKFSqo+UlISGDlypXcvXuXihUrkp2dzb179wgKCiIyMhIvLy+sVivXr18nOjqau3fvEhoayqFDh9i8eTM+Pj4UKlSIqKgoXF1dqVu3rio7t+lZrztKQ0Gn03HlyhUCAwOpX78+ANWqVSMpKYmqVatSr149zGYzN27cUL+Fi20X7aSkJJycnBg6dCi+vr5g+/xHamoqn376qVrmFouF69evU7duXSpWrKimfezYMW7cuMGSJUtwcXGhaNGi6Gw7mrZs2RJXV1d53ySSvxEhBNevXycsLAx/f3/u3r2Lh4cHrVu3xsnJCX9/f3X0tU2bNgghuHr1KkFBQVSrVg03NzfMZjOxsbEYDAYMBgPvvfcenp6eqi4wmUw8efKE0NBQ0tLSyMzM5Pbt2/z6669ER0fTokULdedlnU5HamoqsbGxdOnSBU9PT3x8fEhISODzzz/H29ubjIwM7t27R/v27SlYsCB6vR4nJyd++ukn5s2bR5EiRQB44403ePDgAXPnzuXGjRv07t2bN954g+PHj/Pdd99x6tQp2rZty7x584iMjMRsNjNs2DBcXFwQtllIRqORp0+f8uabb6p1ka+vLwEBARw8eJDly5cD0K1bN8LCwihQoABLly5lzZo1eHh4sHDhQkqWLElcXBwpKSl07dqV+Ph40tLSCA8Pp27duuTNm5cVK1awaNEiLly4oHYe1KlThwcPHrB48WKuXLlCs2bNaNy4MdWqVePYsWNs3LiRoKAgChUqREpKCm+++Sa1a9fG29ubJUuWsGbNGvz8/Fi8eDFFihQhLi4Oi8VC+/btVZ2bnp5Op06duH79OtOmTaN3794UL17crq3w7NkzkpOT6dKlC15eXqr706dPSU5Opnv37ri5uVG8eHHy5MnDzJkzOXLkCAEBAZQvX55OnTqRkpLCs2fPePPNN/Hy8iIlJYWHDx/SpUsXdbf+9evXs3PnTkqWLElERAQdOnTg8ePHzJ8/n1WrVvHs2TNatGhhNx1dGrwSyavRCeVtlkheA7TKKzMzE51Oh7u7O0ajkbS0NNVYUVAaKtiMFYvFgouLCzrbNKTU1FTc3NzIyspS1z9pFU9SUhIeHh5qw0FBG0arpHJ7HXU2Y0w7tckxjtZo016jFsdzyf/cX71eT1paGs7Oznbry5R7r5RpZmYm7u7u6iirzja1MDs7mzx58gCQlpZGvXr1GDFiBO+++67dfc7MzMRgMKjfkMQ2AmC1WsmTJ4+aF4vFQkpKivo8Ie+dRPK3oNSVRqMRZ2dnnJycMBqN5OTk4O3trYZR6l/lvU1LS8PNzU1dZ2mxWEhKSiJPnjxkZGSQP39+u7rcYrGoO+Ur8rT/aJbPYKt7lHWbymhlZmYmXl5eal2Qlpam1jsAI0aM4Pz58xw8eBBPT09VfnZ2NrGxsXh5eVGgQAGwjUg/efIEnU6Hv7+/Gs5sNuPp6QmaOke5tgIFCqhloMhOTk4mMTERPz8/u7W0CQkJpKWlUbRoUVxdXbHavgNrtVoxGAwIIUhLS7Nbc6t8197X15d8+fKpaVgsFp48eYKnp6edfk5JSSE1NVXtHBRCqCPuOtvO0Glpafj7+9vp3+zsbNzc3NRzpVwHDx7M/fv3+f777/Hw8FD9dbaR18zMTPLkyWPnrozyKuGVfDx+/Bh3d3d8fHwwmUy4uLioswCU8jWbzZhMJjudExcXh9FoxM/Pz+4ZiY2NJTs7myJFiuDm5mb3LCphJBJJ7khDV/LaoVVUynlux9rwWjetQsvN/VXHWl7mLvnPkFv5Oz4bf8YNWwNv2rRpDB48mMDAwFzT4BXxHXlZfIlE8n/n9+ppRzfH85e5afk9fwUl3O/lKTfi4+OpUqUKEydO5P3333f0tuOPyFTqJzR11P/WuPojdV1u8rQdjVpyC6vlVf4vK9vs7GxmzpxJz549KV26NDhcr5ZXyX8ZjunyvygPR/5IGIlEIg1diUQikUgkkn8cirGTnp7O/fv38ff3J1++fI7BJBKJ5LVFGroSiUQikUgk/yCUppvQfIpOIpFIJPbI2lEikUgkEonkH4SyZ4N2OrFEIpFI7JEjuhKJRCKRSCT/MJR1rApyzaZEIpHYI0d0Ja8df3XfzqvkvcpPQRsmt/C5ufEKd8n/De2UQO2/4/EfwWg0cvv2bXJychy9/hB/Nj2JRPLfyV/xLjvK0E5Z1ml2cP7fIDTfXP8j/NGw/xe5Stz/bV38sjC5yfvf4phHxS23MH+WPxLnj4SRSF5npKEree1QlI7JZMJoNKrnOTk56nQwBaPRqH7g3WQykZWVRWZmZq6Gi1aucq6gfJ4gIyODjIwMMjMz1bS1cXW2z1jk5OSochxlZGVl2cUDyMnJISMjg5ycnBdkSkWYO9pysVgsatkp7larVb0HFosFo9GI1WrFYrFgMpnswgohsFqtZGVlYbVaVfebN28SGhrKw4cPEbZPFCn3X7nH2vuppJuVlYXFYpEjNBLJ34z2fcP2LmvrAuWnfedzcnLIysoiPT39hXpawWw22+kJxRBVPkmm1AMZGRlqnaH8rLbPC2lla+sIRbaw6QxHI1d7rJwrP+U8KyuLjIyMXPOv6CBHObkhhMBisbyQhhad7Vvlo0ePxmQycfjwYWbPnk1aWpoqQ/nXHitxtX6O7tg+NXT//n1Vf2vDOep0R/fc8qug+FksFrKzs9V77vi8aMM7XoujG7a0HcPllndteO11OMqVSCQvRxq6ktcKodm444MPPuCdd95BZ/tOXWBgIP3791cVGECzZs1YtmwZADNmzKBkyZLUqlWLqlWrMnDgQGJjY9VGhk6n44cffsDPz4+vv/5abYAArFq1itKlSxMUFERQUBBvvPEGGzZseGHaWUZGBl9++SVly5Zl165dqvutW7do0qQJVapUISAggNGjR5OTk4NOp+PAgQM0bNiQmjVrUqZMGSZMmKDmR0EqxJcjhOCTTz6hTJkynD59Wn0+du3axdChQ9HpdMTHx9OoUSMOHz7M8ePHqV27NqmpqWoZ63Q65syZQ4sWLezKfuzYsQQFBZE3b15atWpFxYoVqV27NtWqVePzzz9n8+bNlClThnPnzqn5+eCDD3jzzTfVRqBEIvn7SE9Pp1KlShw8eBCA+fPnU7RoUZYvX67W4VFRUXTr1g2LxUJycjJdunShfPnyBAUFUb16dVauXInZbFZlCiH46KOPKFOmDJcuXVLdc3JyePfddwkMDKR27drUqlWLoKAgHjx4oKal0+k4e/Ys/v7+dOvWjczMTLDVMUpdpOiRe/fu2aWpc/g+r9YYUuJbrVZmzpxJ+fLleeONN6hduzY///yznb547733CAgI4Nq1a6qbI9q0lDpTSUNBq3eio6OZPXs2JpOJEydOsGzZMlJSUtR4yr/ynV6tDEWuXq9Hp9Nx+vRpu7zt37+fGjVqkJiYqMrR/oTNkNTKVWQpabyKDRs2EBgYyBtvvEGtWrVo3Lgxv/zyC2jkaK87t3PlX6sftMarNgwO91Ov16vlor2fWlkSiSR3pKEreW1JTk4mISEBbCO3T58+ZePGjezcuVMNExsbqyrj58+fkydPHpYsWcKYMWPYvXs348ePB5vSsVgsbNq0CYvFwvfff098fLwqJzExEYPBwLx585g/fz4LFiwgJCREjavT6UhOTmbo0KGsWLGCxMRE0tPT1fhRUVFUrVqVZcuW0bdvX2bPns2mTZvANmrYp08fVq1aRatWrZg2bZpd2o5KV/I/KGViNpv59ddfefz4MdOnT8doNILt24pKw8lqtfL06VMyMzPx9PTkypUrHD58WJWVkZHB119/Tfv27XFycgLgwYMH6oiup6cnjx49onXr1ixZsoSFCxfSt29f2rZtS7Fixfj0008BOH78OOvWraN///7yMyESyX+Ix48fqwblpUuXSEpKYtKkSTx//hxsBqpSpyp1QcOGDVm1ahVhYWG89957dnojJiaGzZs3ExMTw9q1a1V3q9XKs2fPCAgIYPHixcydO5f58+dTqFAhsI0cYtMXz58/Z8eOHZw4cUKNC7B+/XquXLnC48ePefLkieqnGEI6mzGrNRDRGHMnT55kzpw5DBkyhGXLltG6dWvu3r0Ltjrx8ePHHD9+nPT0dJYuXcrvoeRZMbyw5UfbYYzNIHR1dVWNNqWeVNAao1qjT3s92NIbMGCAXd6qV6/OhAkTyJMnj+qmzYNOY4xry8j6km/1OpKRkUFqairjxo1jyZIlzJgxgwoVKoCmXJWODqUctGkr8pX0lHiOHQRKGWjJLa+KwevYKSCRSF5EGrqS1wqtQnNycrJTfnq9nmLFijFr1izVAHZ2drZTTD4+PjRu3Jj+/fsTGhrKlStXyMrKAiAhIYETJ07w+eefc+HCBR48eKCmBZAvXz5atGhB8+bNCQ0NpWTJknZKymg08uabb7J8+XLy5Mmj+gkh6Ny5M/Pnz6d58+aMGzeOfPnyERMTA8CwYcMYPnw49evXp0OHDmocHK5X8mpKlizJ7t272bFjB2ieCaVh5OTkhNVqpU6dOjRp0sSuAXvu3DnS0tJo1KiR6rZ3714yMjLo27cv2dnZCCGoVq0ajRo1omXLllSuXJn8+fPz8ccfqyMc33zzDW+88QadO3dW8yCRSP5enJyc7OpKf39/MjMzmTlzJmgMJaUuAKhQoQL16tVTR24VgxRbh1XFihXp3r07ly9fVmdnKDICAgJo3LgxoaGhNG/eHC8vL7W+UdIzGAy0bNmS+fPnq35Go5ENGzZQu3ZtihcvjsFgYPLkyXz22WeqIfTgwQPatWvHb7/9RmpqKt988w2VK1emVatWXLlyhTt37pCQkEDLli1p2rQpU6dOpV+/fqqBtWPHDooUKULfvn05depUrlObsXWwjhgxgtKlS/Puu++qs5tOnDhBeHg4ZcuWJSIigsuXL4PDCKWCcr1HjhyhYcOGlCtXjkGDBqmzZbKysli9ejW1a9emQYMGHDt2jOnTp3Pz5k3Wr19P+fLlOXbsGImJiRw4cECVe+rUKZo1a0bZsmXp1KkTt2/fBuDHH3+kX79+7Nq1i2rVqtGjRw+uXr2qxnNE+0y4u7vTsGFDmjZtSkhICD4+Ppw4cYL33nuPmTNnUqVKFSIjIzl58iTvvfceZcqUoUOHDty4cQOAK1eu8N5777F69Wpq1apFaGgo165dU9M4evQo4eHhlCtXjsmTJ2M2m9HpdMyfP58aNWpQtWpVFi1aBHKnbYnkTyENXclrhVYxKL3gaHpNP/30Uy5dusSaNWvU8Ioi0uv15OTkkJ6ezsmTJ9mzZw8tWrTA3d0dbEo0T548tGrVipo1a6ojrtgM5piYGD7//HPGjBnD5s2b7Xq8hRAUKlSI8PBwfHx8XlBgTk5OODs7A3D79m1SU1NxdXVV4yYnJ3PmzBlmzZpFWFgYvr6+alxHWZL/QVsuZrOZ1q1b069fP8aNG4fZbFZHHIRmuphyzxo0aMC1a9d49OgRAN9//z3Vq1enRo0aqsyLFy/SoUMHPDw81IZqamoqmZmZJCcnk52dDUDXrl3p0qULn3zyCceOHWPKlCnqvZYdFRLJ34+2LjAajVSpUoWRI0eyZMkSrl+/jqurq1oPKGHT0tIwGo18//33xMTE0L17d1XG+vXrKV68OBMmTODEiRNERUWpfs7Ozly+fJkvvviCsWPHcvbsWXB414UQuLu706ZNG44cOaKOuP74448kJCTwzjvvkJ6ejk6no1y5csycOVOti44dO8bJkyfJmzcvX3zxBdOmTWPIkCE0bNiQUaNGERISQrly5ejUqRPr169X6ya9Xo/ZbObQoUP4+vry/vvvExsby9GjR9V8KcTHx9O1a1cuXLjAzJkzSUtLY9u2bZw8eZL27duTJ08evvzySx4+fMiAAQMwGo0vdBQIIXBxceHkyZP06dOHJk2aMGXKFK5evcpnn30GwJdffkn//v3p0aMHHTt2ZObMmZQoUYI8efJQpkwZevToQUBAAL/99htHjx7F2dmZI0eO0LZtW8qXL89XX31FVFQU/fr1w2QyceXKFdatW8fkyZMZNmwY0dHRDBs2zG7auRbtc2G1WtX6W5nldffuXZYvX87q1at56623MJvNTJs2DX9/f6ZNm0ZSUhIff/wx2Gb4rFixgi+//JKRI0cSGxtL7969SU1N5fjx47Ru3RpfX18mTJjATz/9RFRUFEuWLOGrr75iwIABjBgxglmzZrFlyxY1T0j9LpH8PkIieU3p3bu3aNu2rRBCiAcPHghAnD17Vnz44YeiaNGiIiUlRVSoUEHMmDFDCCHExx9/LAwGg6hbt65wcXER7du3FyaTSZVXv359MWTIECGEEHPnzhWFChUSKSkpQggh5syZI5ycnES5cuVEyZIlRefOnUV6eroQQgir1Wr3/8svv4giRYqIlStX2rkLIURGRoZo0aKFqF69uoiNjRVCCPHw4UPRokULUaVKFeHh4SEmTpyohrdarepPYo9SJiaTSYSFhYmhQ4eK06dPizx58oi5c+eKnTt3ioiICCGEEDExMSIgIEBs3rxZCCFEZGSkcHV1Fd99953Izs4WNWrUECNHjlRl379/X7i4uIijR48KIYR4/vy5qFatmjAYDCJ//vzC1dVVzJkzRw1/+PBhAYjWrVsLo9EohObeSSSSv4+UlBTh4uIiduzYIYRNLzRr1kw8fvxYlClTRgwYMEBERkaKxo0bC5PJJOLj40XdunVFkSJFROnSpQUgFi5cqMo7d+6c8PPzE4cPHxYWi0U0btxY9OzZUwghRFZWlmjfvr1wdXUVZcuWFSVKlBDffPONGlfhxx9/FB4eHuLMmTOiVKlS4qOPPhJCCNG5c2fRtWtXcfjwYVG8eHFx+vRp8fTpU+Hn56fmISgoSIwbN07cv39fFC9eXIwePVqVm5ycLIQQ4tatW6JDhw7Cw8NDNGzYUNy7d08IW73m4uIirl69KoQQokaNGmLgwIFqfKU+2rp1q3BzcxMXL14UQgiRnZ0tzGaz+Pjjj0VgYKAa/tatW8Lb21usXbtW7N27V3h6eoqsrCwxadIkUalSJREbGytGjx4tmjRpIu7cuSOeP38uPvroI1GoUCERHx8vAgICxAcffKDKS0tLExaLRZQrV04MHTpUdf/uu++Eh4eHEEKIvn37imbNmonMzEwhbPoUEJGRkWLq1Kkif/784vLly0IIIaZMmSKqVasm4uPjVVm56cwlS5YIQOTJk0d4enqK6tWri6SkJLFmzRoBiOvXr6thzWazyMjIELGxsWLGjBnC29tbZGRkiJ07dwpXV1dx8uRJIYQQR44cEYB48OCBGDhwoChbtqzIysoSwqbnExMTRaNGjcT7778vnjx5ImJjY0WTJk1Ep06d1LSEQ/tAIpG8iBzRlbyWKD3LSu+ydtT2gw8+wMXFhQULFthNaTMajVSoUIHvv/+eTz75hMjISLUX/dSpU1y7do1Lly4xevRodu3axfPnz9m6dSvYdmwuXbo0Bw4c4OjRoyxduhQPDw+79ThKz6w2X45MmzaNCxcuMG/ePAoXLowQAn9/f1auXMn+/fuZPn06kydPZu7cuY5RJS9BWf9lNBqpV68eAwYMYNGiRdy5cwcnJ6dce8yrV69OrVq1OHXqFMeOHePOnTt88MEHqv/mzZspXbo05cuXV91MJhNvv/0227ZtY/v27XTq1Alsz9X06dMJDg7m/Pnzdmv9JBLJ34tjfSts6ysLFy7M559/zg8//MDBgwdxc3NTw1ksFrp37873339PvXr1OHTokDoqGBkZSUxMDNu2bePDDz8kLS2NgwcPkpqail6vx2Qy0axZM44dO8bx48d55513wGEnXmz1QuXKlWnevDnHjh3jwoUL7N27l5EjR6qzTcxmM0WKFCE0NFRdu/vkyROaNm2KyWTCbDZTrlw59bry5s2LEILy5cvz/fffs2fPHuLi4hg2bBgABw4cwGg0MmfOHEaOHInRaGT79u3q+mTl+s1mM66urlSsWBEAV1dXnJyceP78uTrDCdtykPz585ORkaGO6KKZTWUymYiJieHy5ct07tyZ0NBQNm/eTLFixdDZ9r1Q1t1arVa8vLzUPDjqTp1tWvTt27cpUqSImo8SJUpQsmRJLl++jNlsplixYlSvXh0cNqTSynHEYrHg7e3Nt99+y44dO5g3bx758uXDYrHg6uqqzqASQrB+/XrCwsJo2bIlc+fOxWAwgC2/BQoUoHDhwgC4ubmp7Quz2Yynpydubm4AeHh4kJKSwrNnz9i5cydt27aldevWREVFUaBAAU3OJBLJ7yENXclriXDYhVH5N5vN+Pv7M3LkSObNm8e9e/fsNs1wc3OjWLFiDBo0CC8vL3UN1+HDh8nOzqZSpUrExcVRtmxZvL291Z0ZhRC4ubkREBBAyZIl8fHxQafZRdJRwQqH9VoWi4XPP/+cVatW8cMPP6hrQZVGmr+/P35+fnTs2BF/f3+7dCWvxrHhNGrUKHJycli/fr1675VyVsLqdDoGDx7M999/z44dO2jcuDHFixdXZe7cuZNWrVpRtGhR1U0IQZUqVWjWrBlt2rShRIkSACxbtoxz584xZ84cevXqxWeffUZmZmauDS6JRPLX4lhHKvWxyWTirbfeonLlyixfvtzucz5Wq5V8+fJRvXp1xo0bx/bt29UpvsuWLaNOnTqYzWbS09OpXLkyQgh++OEH1ejx8PDAz8+PgIAAvLy81HS1KEtlRo0axe3btxk+fDj16tWjZs2aqlGt5L1Hjx7Ex8czatQoChcuTP369VUdojVSlc/amUwmnJycaNKkCb169eL8+fM8e/aMrVu3Ur16dZydnUlLS6Ny5cpkZ2dz/vx5u/SU8lE268NmDDo7O6ub+QHExcWRlpaGh4cHZrPZztgVmg2VqlevzuHDhzlw4ACXL1/m9OnTeHp6qnKwlYfZbMZisWCxWOz0slaHOjk5kZGRofqlpKTw4MED1Sh3NJC1ZGdn5/pJJ2GbZq2sq9buxaC9b1FRUXz66af079+f8+fPM3bsWLvPNGnbHNqlS3q9/oXNu7DJ7t69O8ePH2ffvn3cu3ePefPmqf5KGUokkpcjDV3Ja4vF9j1ULYoS7NatG97e3nbfyzMajWoDw8/Pj5CQEA4cOMC1a9dYtGgRb731FsuXL2flypUsWrSIsWPHsn37dp4/f45Op+Pp06csXLiQhQsXMn/+fPWzE1bNTox79+7lu+++Iy0tTT0WQvDtt98yefJkWrRoQXR0NPPmzePw4cPExsby7rvvsmzZMp48ecKcOXOIiYkhPDwcNJtWODaiJPZlYtXs0Fm0aFHeffdddQQAW4PCbDbbPS+1atXC1dWVJUuW0KlTJ7WsDxw4wG+//UafPn3UsIp8pRGoNE7u3LnDnDlzeOeddwgODqZv374kJSUxbdo0Na5EIvl7UUY/0Xw7XakPxo4dS3R0NE+fPlU3pLPYvqsKEBwcTPXq1Vm2bBnnz5/n4sWLfP755yxdupTly5ezbt06SpQowaZNm0hLS0On03Hjxg2WLl3KwoULWbBgAYmJieg0HWlKXWO1WilZsiSVK1fmzJkztGjRAldXV3JycuzyGBoaCsChQ4do3bo1Hh4elClThrp167Jo0SLOnz/P0qVL6devH+vWraNr166sW7eOxYsXs3DhQho3bszly5e5c+cO48ePZ8mSJSxfvpxVq1bxxhtvsGTJEtDUmbVr16ZQoUIMGzaMmzdvMnjwYNavX09ISAhxcXEsXryYu3fvMnLkSAIDA2nfvj1Go1HduNFkMqmjoaGhoVy4cIGffvoJg8FAZGQk8+bNw9XVlRYtWrBmzRoOHDjA2rVrGThwIBaLheDgYA4dOsTx48fVnacttm/59u/fn6NHj7Jw4UKio6MZNWoU1atXp0qVKmRnZ9sZm0o+nJ2diY6OpmvXrly9evUFfam0FZT6X2u4Ks8LoH6b2GAwEBMTw7Jly9QNLa2277IrcXW2DmwhBK1bt+bRo0fMmjWLixcv0q1bN5KTk2ncuDG7du3i9u3bCCHYsmUL27ZtU/MgXjICLZFI/h9OEydOnOjoKJH8W1EUg06n486dOxQpUoSQkBCSk5M5efIkAwYMIF++fHh5eVG+fHmsVithYWGULl2ahIQE8uTJQ4sWLQAoVaoUkZGR1KxZk+vXrzN58mQKFiyoplGxYkV++uknWrZsSb58+cjMzCQ2NpaYmBgeP35MqVKlKFOmDNiUXnJyMlu2bCE2NpY33ngDZ2dnnj17RtWqVbl+/TqFCxfG3d2dhw8f8vTpUx4/fkyzZs2Ii4tj06ZNTJw4kYSEBKZNm0bPnj1f6OmVCvFFlHt16dIlSpcuTf369QGoWbMmJpOJmjVrUqtWLSwWC7/++iutW7fGz88PgAIFCpCenk5OTg5Dhw5Vp5StXLmSrKws9ZNB2Docbt68Sb169dTpzDrbN5Bv3brFihUrMBgMFC1aFCcnJ3755RfatWunbjgmkUj+HqxWKw8ePKBFixYUL16chw8f4ubmRps2bXByciIgIIAiRYpQtGhR1aC8fv06wcHBVKlSBQ8PD3WzwQIFCmAymRgyZIi6CZ3OtoPyvXv3aN26NSaTCZ1OR0xMDDExMTx9+pSmTZuqOy/rbCOvycnJdOjQAU9PT/Lnz09KSgrjx4/H29ubnJwc7t69S4cOHShQoAA62w7Fhw4dYvbs2erU36CgIG7cuMFXX31FdHQ0b7/9NoGBgZw5c4YVK1Zw9OhR2rdvzzfffMP169fR6XR8+OGHGAwGhG0U08XFhdu3bxMREYHONnLq6+uLr68vR48eZebMmbi7u9O9e3fCwsLw9vZm2bJlzJ07lyJFirBkyRKKFy9OcnIyJpOJjh07kpKSQkJCAh07dqR27doUKFCAFStW8MUXX3Djxg2qVq1KcHAwderU4fbt28yZM4fr16/TvHlzGjVqROXKldmzZ4+6I7Ofnx8Wi4V27dpRs2ZNfH19mTdvHnPmzKF8+fIsWLAAPz8/UlNTMZvNtGvXDp1OR1paGqmpqURERHDjxg2mTZtGRESEOtsGWz2dmJhIcnIyERERdvc1NjaW9PR0evTogYuLC8WLF6dAgQKMGzeOI0eOUK5cOapUqUK7du1IT08nLi6Ozp07q1OT4+Li6NSpEzVr1iQ7O5v169ezefNmqlSpQkREBOHh4Tx9+pRZs2YxZ84cMjMzCQ4Opnz58nZtGYlE8nJ0wrE1LJG8JmRmZqLX63FzcyMnJ4fExES7qaa5oe1BtVqt6rSslJQU1dBRXimdTkdCQgIeHh5265Yc+St6ZVNTU7lz5w5+fn4UKVIEHPIheTWpqak4OTm9MF1OS3Z2trqGSsFisZCWlqZ+8zY1NZX69eszcuRIde2dcn8zMjJwcXF/mipjAAD/9ElEQVRRpy9i27nVZDLh4+OjupnNZpKSkihYsKDqJpFI/jNYLBaysrLsDE8F5TwtLQ13d3d1d3SLxUJiYiK+vr4kJCS88O6aTCbS0tLs3vPfw1HXZGVl2dVPKSkp6vpVnU7HoEGDuHLlCgcPHsTT01ONn5WVxd27d/H19VX1m9ls5vbt2+h0OipVqgS2bwVbrVZVVynxrVYrsbGxageflri4OGJiYihfvrxd3fjkyROSk5MpW7YsLi4udnGwlVdKSopdeSQkJPDo0SOKFSv2QvndvHkTX19f9XvDSvikpCQCAwPtpjErPHr0iMTERMqVK4e7u7t6PTk5Oeou2gDp6el4e3szZswYrl27xubNm/Hw8LCTZTabycrKwtvb2849JycHk8mkTj/HVm7R0dHkz5+fQoUKqelqnytsZWC2rXVWePLkCVlZWWoHuMK9e/fIyMigTJkyr2xLSCSSF5GGrkQikfxFxMXFMWHCBD788EPKlCnzQkNZIpFI/moSExOpUqUKo0ePZsSIEaBZEiPrn98nJyeHiRMn8tZbb1GxYkVZb0sk/yKkoSuRSCR/A9qqVTaaJBLJX4l2xk56ejp3796lRIkS5M+f385Qk0bbn0NbrhKJ5J+PNHQlEonkL0KpTpV/ZZdR2WiSSCR/JcJhMyKdbf2sgvZc1j+/j2NTWGi+fCCRSP65yLdYIpFI/iK0jU6JRCL5u1GmJ2uNWm2Hm6yL/jjaspLlJpH8O5CGrkSSS2+ugtZd6UFXflr/33P7M/wROY5hHI8lv88fKa+XlbNjXG04R2PXscH0sriOx1pyy4ej36t4VZjcric3/kgYieSfxO89+47+ju/hy+I6xvkj4XI7fxlKuJeN4uY2k8Qxz475cjz+s3lxjP97/F743Pxf5pab/8twjKf8HOtr5d8xnFaGo7+jnxbHOLkd53b+MjeJRPLHkFOXJa8d2kdeq8wcz3Pzs1qtdh+9V8IoG3+IXBoZuaWnhHdE23BxbMTkhmOY3GRKckfYGifa6WmvKm/He4PmOdHKUsIo/4p8x/tksVhy/c6xYx5edk9zy4v2PLdnTPeSZzi3NB39Hd0kkn86js+94zv8qmff0V0bV/HTytDGVd5BLY7ycnsvtWjz5oijLHKpY3I7d0w7N9kKWn/HY4Xc/LU4lovW3TEPjsfKueN1kEuZO8ZVcPRzRFuHOoZxlKO4Oab9KnfthmGO+VVwzLdjPiQSyauRI7qS14rcFIjjuRLGUfEIjVGkKCclnOKu9bdarShow2vD5ZYfx7Baf+2PVzQgJH8Mx8amYxk7Ni4c743Odp9zezZedp90Oh1Pnz7l/fff59q1ay/cP8dzBeUZdMyTgmPe9Hr9C2G0DWxteMdr0v5rn1GJ5N+G9j1wfDcc39vfq6+1hsvL3i9yqXfIRb7ihubdV9y08pT6RwmnRZuPl4VRwjnWK455dsQxTm7ylXzrdDri4uI4duwYVquV3377jQsXLpCTk/PCNSrhtf/aNBR3bTyFl+VZKyc3XuX3KplalHwpfo75VcjtWHtNjnnRtiMkEsmf58XaViL5F6NVJnPmzGHq1KkAJCUl0b17d1auXKmG0el0vPPOO+zcuRO9Xs+6deto27YtrVq1omfPnvz4449YLBZVnk6n4/Lly/To0YO9e/faNZp27dpFeHg4bdq0oXXr1oSGhrJlyxa70QOFH374gT59+nD06FE1HyaTiSlTptC0aVNCQ0PZsWOHqiSVxtXDhw/p1q0bM2bMeEGm5OWYzWamTZtGu3btaNWqFREREWzfvp2EhAQ7Y/HJkydMmjSJZs2a0axZMwYNGsSDBw/Q6/Xo9XrOnDlDx44dOXbsGNjue2xsLF26dOHRo0d2aV65coWNGzeSN29ebt26RZs2bQgJCeHdd9/lzp07aprKfdQ29rKzsxk9ejTjxo1Dp+lQ+e233xgwYABt27alRYsWjBgxglOnTmGxWNS4QgiuXLnCO++8Q4sWLWjWrBnTpk0jOztbfdbmz59P3759iYmJUd0OHjzIBx98oOZfIvk3oLN9Z7Zjx4788ssvAJw4cYLw8HAOHz6svod3795l/PjxWCwWUlNTGTNmDG3btqVly5YMGjSIW7duqe+KInfDhg106dKF+Ph41c1oNDJ16lTatm1LmzZtCAsLIywsjN9++80uT7/++isRERFMmjQJnU6n1jE6nY7MzExGjx7Nu+++S0pKiuruWFcIIV4wkhQ9debMGcLDwwkJCWHMmDE8evTILv/r1q2jU6dOPHv2zC6+Fsd0lDwocrTyAE6dOkVERARGo5ENGzYwaNAgkpKSNBL/B60c5RyNwaez1atxcXFqGj/++CNvvPEGKSkpdmWhxHUsG8VPm05uKH6HDx8mPDyctm3bEhYWRseOHbl48aJd3hR52p+Ccq7Nm9Yfhw4LNG0VbTm8Kq8SiSR3pKEreS3R6/VcuHCBkydPApCamsrmzZsZOXIkZ86cUcMdO3aM27dvA3Dx4kUuXbpEeHg4np6edO7cmblz54JGIX7//fds2rSJtWvX2imt6Ohozp49S8uWLWnVqhVt2rShdOnSalydzYD54osv6NKlCxs2bLBr/CxbtowVK1bQunVrXFxc6NOnD/v27UNnawQBTJ06lS1btjB16lQyMzPVuJJXY7VaOXHiBLGxsYSHh+Pi4sKQIUPo0aMHz58/ByAlJYU333yTNWvWqA2d06dP06pVK65fvw7A/fv32bVrF5988glxcXEApKens2fPnhfux6pVq+jVqxdeXl4MHjyYgIAAwsPD+emnn+jWrRtGo1G9t8pzpDT0bty4wYwZM1i1ahU3btxQ739aWho//fQTxYsXp127dty4cYPQ0FCmTJmiyjh27BjBwcHExsbSqVMnGjduzIwZMxgwYABZWVkAREZGsnbtWr799ls1vzExMRw9evR3G4YSyT8No9HITz/9RExMDAArVqzgxx9/ZNSoUWqYhIQEtQPLZDJx8OBBcnJy6NChA9euXaNx48ZERUWp70Z6ejpffvkl33//PWvXrlXlWCwWTpw4wd27d9VOz7CwMLy8vNQwALdv32br1q3MmjWLc+fOgcYwOnToEDNmzGDLli1ERUXZxdMaRTiMHCt6JiYmhnfeeQedTkeXLl3Yv38/s2bNAk0aEydOZMeOHWzfvl2N74giT6uDHI03JRy2DkWlHjSZTGRmZuZq2L0Mbadj//79WbhwoepXqFAhKlasiNFohFxkafOq9XtVemj8o6Oj2b9/PzVq1KBNmzaEhoZSsGBBNYy2Uzu3X24yHcMo16eNI+tbieQvQEgkrxFWq1U97tWrl2jXrp0QQogHDx4IJycn4erqKnr27ClMJpMQQohy5cqJGTNmCCGEGD58uAgODlbjt2/fXgQFBYn09HQhhBDx8fGiRIkSYvDgwcLLy0tERkaqYadPny6qVaumnmtR8vTs2TPx0UcfiWXLlokiRYqIVatWqWESEhJEQkKCEEKImJgYkTdvXjFlyhTV/+DBg6JSpUpi0KBBIk+ePCIjI0P1k7wao9EoWrVqJd5//33V7fz58yJv3rzi448/FsJ2/4oXLy7u3Lmjhnnw4IEoX768iIiIEEIIsX79egEINzc38c033wghhIiOjhZeXl7i1q1barz4+HhRpEgRsXz5ciGEEHFxceoz8M033wiDwSBSU1OF0DwbVqtVPR44cKBo2bKlCAgIEF988YUq99q1a6J48eLi8OHDapxvv/1WAOLIkSNCCCEaNWokOnbsKLKzs9V4O3fuFF5eXmLdunVCCCHeeecdAYiCBQuqz/CqVatErVq1hNlstnuHJJJ/OikpKcLFxUXs2LFDCCFE//79RZ48eYSvr69YvXq1ELb6oHHjxsJkMomEhAQRFBQkvvzySyGEEDdv3hRFixYVgwcPVmXu2bNHVKxYUYSEhIj27duLnJwcIYQQmZmZolWrVqJr165qWAXtO757924BiAIFCoipU6eq/kII0a5dO1G+fHlRoUIFcfLkSXHy5Elx4MABVWclJSWJjRs3iuTkZCGEEL/88otYsmSJWLVqlUhLSxPLli0TLi4u4saNG0IIIdLS0tSwQgixZs0aUbNmTdGhQwfRsGFD1d2RtLQ0sX37drFw4ULx/fffq3owNjZWrF+/XixdulRs2rRJJCUlCSGE2LZtm/D09BRZWVli4sSJonLlyuLx48dCCCHu378vVq9eLRYvXiz27NkjsrKyhLBd8+XLl8XSpUvFypUrxW+//SZOnz4t8uXLJ5o0aSJWrFghHjx4IB49eiTWrFkjzGazEEKIx48fi7Vr16p5i4+PF8JWR+7bt0/cuHFDLF68WGzdulWkpKTYrsi+faBlwYIFomDBguLu3bt27vfu3RM7d+4UZ8+eFStWrBBPnjwRDx8+FNu3bxeLFy8WmzZtEomJiULY8rR7925x8eJFsXTpUvHdd9+Jp0+fqrIeP34s1q9fL5YsWSJOnjyp5uXixYti2bJlYtmyZeLs2bNqeIlE8seQI7qS14pX9Y5aLBZGjx7Npk2b2LNnj6M32HqisfXwP3/+nFKlSuHp6QnAhQsXcHZ2pm/fvvj5+XHq1Ck1nk6nIyMjg1u3bnHr1i0eP36s9mYreSpYsCCzZs2ievXqoBnBE0Lg4+ODj48P2EbuTCaTGi8rK4sxY8bQt29fatWqhcVieWF6VG497ZL/QelBN5vNqltQUBAdO3bk8OHD/Pbbb+zfv58qVapQunRprFYrVquVgIAAmjRpwp07d9R7VaxYMYYNG8YXX3xBXFxcrlPTV61ahaenJ23btgXA19cXq9VKTEwMBw8epH379nh4eIDD86qzTbM8evQob775Jm+99RY//vgjaWlpqr8QQr0OnU5H3759KVasGCdOnODixYvcuHGDZs2a4erqquardevWFCxYkCtXroBt5KVly5ZUqFCBzz77zC4f2tEGieTfiMlkokGDBnTp0oXJkyfz7NkzDAaD3XMvhCAnJweA58+fYzQaqVevnuq/evVqqlSpwuTJk9m7dy+RkZGgeY+Sk5O5d+8eN2/eVKfvauVbrVby5MnDe++9x9dff01aWho6nY7IyEju379P586dMZvNODs7s3v3brp27apOMz5x4gQ9evQgJyeHpUuX0r59e/bu3cuKFSvo1asXVapUwdvbm08//ZQHDx7g5eVF3rx51bSPHj1K4cKFGTFiBA8fPuTs2bPgoEOsVisjR45k+PDh/PLLL3zyySds3LiRxMRE+vTpw+eff86xY8cYOnQoQ4YMAc03xYUQODk5IYTA2dmZmJgYevfuzbx58zh9+jT9+vVj48aNYFvGExoayr59+1i1ahWjRo1i586dJCcnc+nSJaZNm0ZiYiK//PIL7733HkIIYmNjefPNN5kwYQIXLlxgwIABfPTRRwBs2bKF8PBwunbtyr59+xg4cCBjxoxRr0vJn+OxzrZ5oKL/lTr22LFjdOzYkW7dujF58mTOnz/PmDFjmDp1KufPn2fgwIF8/PHHAJw/f56OHTvSuXNnTp48yfvvv8+HH36I2Wzm0aNHdOzYkW+//ZaDBw/Su3dvbt++zc8//0x4eDg7duxg9+7d9OzZ024UX5tHiUSSO9LQlUg0RmWLFi2IiIjgq6++QjjsyOvm5sbly5epUqUKlStXxsnJicmTJ6v+X3/9NY0aNaJOnTqEh4czd+5cVTG6uLhw9+5datasSdWqVendu7c6jUurTLU4nmMLO3PmTPLnz0/Hjh3B1qgSQjBs2DDMZjMil/VNSlzJy1HKSimnDh06cPnyZe7fv098fDy1atUChyl05cqVQ6fTqY1eq9XKe++9R548eZgzZw4Gg8HuGcrJyeHIkSM0aNCAIkWKAPDzzz8TFBRElSpVOH36NIMGDcLJyUmNgyZvq1evJjs7m86dOxMeHs6FCxfUqdNKo0e7Ls/b25smTZpw/Phxfv31V6xWK7Vr11ZlCiFwcXGhaNGi6tRlq9VKwYIFGTVqFMePH+fcuXO4ubnJ50fyWiCEwGQyMWzYMGJjY1m3bh04dDwaDAYWLlxIhQoV6NChA126dKFHjx5gm3Z88eJFOnXqRI0aNShYsCCHDh1S47q6unLw4EFVjyxevFhNW1tvW61WGjZsiLOzM6tXrwZg7dq15MuXj5CQEHJychBC0L9/f9LT09UlNhs2bOC9997D2dmZxYsX07p1a3bs2MHhw4cZNWoUwcHBLFq0iOvXr1OjRg2+/PJLVRfdvn2bnTt3Mnr0aJo2bYoQgoMHD6p5UuqAw4cPs3XrVubPn8/q1as5dOgQrVq1YvHixdy6dYvIyEg2bNjAmjVr2LlzJ9u3b8fV1dVuPbFOp8PJyYlVq1aRlZXFiRMnWLNmDQMHDmTatGnk5OTw+eef07ZtW77//nsOHDjA8OHDmTBhAqVLl6Zbt25ERUVRo0YNjEYjzs7OODs78/XXX2O1Wjl+/DgrVqxgxYoVrFmzhlu3buHu7o7RaOSzzz5jx44dDB06lJMnT9qtFVbqUeWasdX5iYmJtGrVipIlSxIaGkpaWhrOzs4ATJs2jdu3bxMWFsbkyZM5deoUy5cvZ/r06WzatImsrCz0ej1ms5mxY8eyZs0aVq9ezdatW4mNjWXZsmXEx8fzww8/sHXrVrZu3UrBggWZNm0arVu35qeffmLnzp0UK1aMOXPmqHmVSCS/jzR0JRJQDQtPT08GDhzIzZs32bhxo11PvslkIiAggKlTp9KgQQOMRiPFixcH4OHDh9y7dw8hBFFRUTg7O/P48WNOnDgBtnVgxYsX57vvvmPz5s1MmzYNd3d3yMXAUo6Vc637/v37Wb58ORMnTqRixYo8fPiQ2bNn89Zbb+Hu7k5qaipCCNLT01+Qk5vhLPl/ZaQtZ2xrYX19ffH09MTZ2fmFdbbY1u5aNZ+gMJvNlClThj59+rB69WquXr2Ks7OzKvvmzZvs3buXoUOHqjIqVqzIxIkTWb58OdWrV2fYsGHEx8erm9a0b9+er7/+GmxrxYQQPHz4kIcPH1K4cGHmz5+vytI5jLiaTCbu3btHkSJF1OdNMcq115uVlWVnXBuNRsLDw6lQoQJTpkwhKytLbXxLJP92TCYTZcqUYfDgwXzzzTfcvXsXFxcX1d9isdC8eXPGjBmDm5sbefLkUd+fqKgo7t27h4uLC5GRkQQFBbF06VKwvZ8mk4ng4GDVoImIiIBc6mqj0UijRo2oVasWe/bs4dmzZ2zdupWPPvoIg8GAsM3eKFeuHGFhYSxYsIC0tDQOHTpEo0aNSEpK4smTJzRs2BBsna2NGjUCoGvXrpw4cYLPPvuMCRMmqKOOUVFRJCcnExMTwy+//EK5cuXYvn07GRkZaFE22GrZsiUAJUuWxN/fn19//RVPT091hDgkJIT8+fPz/PlznJyc7DoLdLZ9KaKjo4mNjaV///706NGDnTt3kp2dTUJCAsnJyQQEBICto7lBgwa4u7vj5OSEwWDAzc1NzZOwdfKdOHGCcuXKqbo5ODiYokWLEhUVhclkokqVKnTv3h1AnTmj5Mux/lQQQuDu7k6fPn0YOXIkvXv3xsXFBavVisFgoGnTphgMBlxdXdHpdAwePJiuXbuyfPly9V5ZLBb8/Pxo1qwZAEWLFkVnGyl++vQp+fLlUzs/g4KCSEtL4/79+5w9e5aIiAh69OhBdHS02iHpqK8kEknuSENXItEojezsbJo2bUqXLl2YPXs2Mf8fe2cdHsW1N/7P7saFCCRYgAQICQkECZbgrsU1UEFK0QJF2lKnlCItUMGKe3H3IsXdHUKCBEKMuG12z++P3868s8MG2nvv+97e2/k8T57sHPme75GZc75zZJ4+lQcwJpOJYsWK0bFjR7799lueP3/OvHnzADh69CjR0dGkpaXx2Wefcfv2bcxms9WbfG9vbzp37kzXrl2pV68eOhufEsDS2eotp2xK1wCnT59m4MCBzJo1i0GDBgEQGxvL/fv3+fzzz/Hy8uLzzz8nJyeH9u3bv3SSpsarUZf30aNHadOmDbVq1aJy5cocPXpUDisZfcePH8fb2xsnJyf5dGOz2cy4ceMoXrw4X3/9tZXMvXv3UqtWLYKCgsDSLooXL06nTp3o2rUrkyZNIjo6mh9++IHOnTsTFRVFnz59aN68OU+fPmXVqlUEBATwzTffsGrVKjw9Pblx44bVN3mVM8ipqalcvXqVTp06Ub9+fYoUKWI1Q6PT6bh//z4xMTHy4WhmxemfU6dO5fTp02zevBkHBwetLWn81yM9l4UQTJgwAWdnZ/l0fumeMZlMVK1albfffptp06bx888/ExMTA8CuXbsoV64cK1euZPr06RiNRvLz8zl58iR2dnaYzWZKly5N+/bt6datm7wdAkU/JN2DeXl5TJgwgYsXL/L111/j6+tLo0aN5JdrUry2bdty48YNpk+fjq+vL02aNCE/P182sJRIaZQsWZKxY8fy5ZdfsnXrVgDWrFlDQEAA69evZ9q0aej1eu7du0d0dPRLMsyWLRyvwmg0yoYZiuegsu8zmUyUK1eOHj160LVrV7788kvWr1+Pp6en1TYcCSlPyhdzQnXaszJOfn4+6enpeHl5gcKolX5LcbBh6Cp1dHV1pX///owaNYqBAwfi6OiI2Wy20uPJkyd06dKFvLw8+vfvT2RkpFV6UruSZErpq/MohTWZTFSrVo2oqCg6derE/Pnz+fLLL9VBNTQ0XoFm6Gr8bZE6a+m3klGjRhEdHU1ycrLsphw0VKpUiTp16rBu3TpSU1NZunQpvXr1YuvWrWzcuJEtW7bQqVMn1qxZw4sXLzAYDGRlZfHgwQNiY2N58OCB/CkESTZASkoKjx8/Jj8/n+fPn5OQkIBOp+P48eN06tSJqKgounfvLi+nrVKlCnv27GH9+vVs3LiRAQMGYDAYmDp1Kr6+vrJsZeet8TI6nY4XL17w5MkT7ty5w/Dhw7l06RJvvfUWAK1bt+bu3bv89NNPPHv2jPj4eKZNm8bJkyfp0aMHqAZ/Hh4eDBs2jDNnzsjL17EMJLt06UKRIkUAuH//PgsWLODZs2cYjUZ5BUCLFi0ICQmhb9++REVFUb16dXbv3k1ubi6LFi1iy5YtbNmyhdmzZ3P37l02btwozzA8ffqUZ8+eceTIEbp3706VKlVo2LAhxYoVo379+qxevZpjx47x/PlzOa8eHh60aNFC1lNqj82aNaNx48bs2LEDOzs7rR1p/FeiNNqUL6yKFi3KsGHDuHDhAnFxcbJRIyzLmwEiIyPx9vbml19+ISkpiTVr1jBlyhS2bNnCpk2b2LRpE15eXixZsgQsz5q0tDTi4uKIiYnhwYMHVvvqJaTnSd26dSlZsiRz586lcePGFC1alPz8fMyKF1KDBg2ioKCAyZMnExERgZ+fHxUqVCA0NJS9e/eSk5NDbGwsn3/+OevWrWPZsmUkJCRw9+5d9uzZg7+/P7dv3+bcuXN888038onLy5Yto0yZMvJyWUk/6WyKVatWkZ+fz759+9ixYwchISGkpaVx9+5dCgoKWLRoEUWKFKFVq1bk5ubKZSvlzcHBgbCwMB49ekSdOnXo0aMHzZo1w8HBARcXF8qXL8/ly5dJSUnhwYMHzJo1i+zsbLy8vHj8+DFJSUmysVhQUIBOp6Np06ZcvnyZ69evYzQa2bBhA+7u7lSvXv0lw1mqd2lp8ujRo7l27ZqV4SshGaZqlM/3Bw8ecPfuXcaMGUO7du3IycmxiqesM+lar9dTtWpVkpOTuXTpEllZWSxZsoS0tDSCg4NJT0+nQ4cO9OrVi/DwcDm+1q9raPwxNENX42+H1FE4OzvLS6zMZjNOTk7yUqaqVasyZswYPD095TAeHh4ULVpUljNw4EBiYmI4ePAgV65ckY0ie3t7ACZMmMCzZ894+vQpxYsXJzc3l9atW9OiRQuaN2/Oxo0bQdFhpaWlMXDgQN5//33c3NyYO3cu7dq148mTJ2zYsIGCggJ2794tf8e1f//+2NnZ0aZNG1q1akXz5s2pWbMm/v7+1K9fH0dHR1B11hr/g9QOdDodfn5+nDx5kqZNm9K+fXvOnDnDwoULZeOvb9++vP/++0yePJnSpUtTsmRJli5dyvfff8/gwYNleUWLFpXLu1+/frRr144SJUrg6urKoUOHSE9Pp0mTJgot/v+no+rVq0d4eDjff/89n3/+OY0bN7Ya0ABs2LCBHj16ULFiRTlumzZt5MGgXq+ndOnSfPHFFzRq1IjBgwfj6enJunXr5CVx3377LTVr1qRVq1aUKFGC0NBQ0tLS+PXXXwkJCQHLjLCynX/yySeUK1dOfnGiofHfhE6no3Tp0vLS/iJFiuDk5CSvjBg4cCBt2rSR7wmDwYCbmxvu7u4AVKxYkY4dO3Ls2DEWLFhA6dKlqVGjhhzWxcWFhg0bcvbsWZ49e0bZsmW5fv06TZo0oXXr1rRs2ZInT56gU8wmOjk5UaJECXQ6HU5OTkRFRVGkSBH69esn+7u4uMhLdx0dHeXD7QYMGACWpcqjRo3ixo0bVK5cmbp16/L8+XPc3Nz46quvKF68OMHBweTm5vLLL7+wf/9+XF1dady4MSjKpXXr1ty7d8/qeVSvXj1GjBjB+PHjCQ0NpX///mRnZ/PBBx/QsWNHmjdvTlhYGNOmTeOrr76ifPny6PV6SpUqhU6nw93dXS7j4cOH06hRI5o0aUK9evWIjIyU+8bvvvuOhw8fEhoaSvPmzbl8+TJubm7Mnj2b48ePU716dXbs2EGRIkUoU6YMBQUFfPrpp1SrVo3GjRsTFBTEnDlzWLBgAT4+PhQpUgRPT085L15eXri5ueHk5MTdu3dZuXKl/Gk4nWKm1cnJCQ8PD6vl6wB2dnb4+vrKe3WrV69Ot27daNGiBW3atOH333+nbNmy8lJrT09Puc70er38XB44cCARERE0a9aMunXr8sMPP+Du7s73339PcnIy1atXp169erRt25bLly+D1q9raPxhdEL5eklD478cpXEj7amtUKEC2dnZXL58mZo1a8odUVpaGs+ePcPX1xdvb2+ePXtGVlYWFSpUQGfZX3T58mXKlClDXFwcVatWxdnZWTZcCwoKOH/+PCEhIZjNZuLj4610KVasGMWKFZPD5+fn8+TJE/Ly8qyWn5YtW5aMjAxSUlKs4ut0OipUqCDvAdXpdMTHx5OcnExISIjWEf4BpDft8fHxZGRkyO2jRIkSVgMinWVv3e3bt3n48CFms5lq1arJ+8cAHj9+zIsXL6hSpYo8aH369CkZGRlUrFiRkSNHcvbsWc6fPy/PQkh1dufOHZKTk/H39yckJOSlw590Oh03b97Ew8OD0qVLW+l1/fp1nJyc8Pf359GjR+Tl5aHT6bC3t8fPz09+4SGRnp7O5cuXefHiBS4uLtSqVQsvLy+5DV27dg0PDw/Kli0LljKKjo7G0dGRMmXKaO1K478Kk8nE7du3KVOmDEWKFOHhw4dkZmZaPUOl/aLly5dHCMGtW7coVqwYxYsXB8t3puPi4ihevDiJiYlUq1bN6rmclJREbGws1apVIzExkfT0dCsdAgIC5KWwer2ejIwMHj16RGBgIA4ODvKMZrVq1bC3tycjI4P79+8THByMk5MTOp2O77//nrlz53Lu3Dm8vb3ltGNjY7l8+TJeXl7Url0bFxcXYmJiuH79Onq9njp16uDj40NcXBzJycny8wvL80XSPTw83OreF0Jw4cIFHj16RKVKlQgKCsLe3h6j0cjp06d58eIFFSpUIDg4GIPBIO/9DQoKIjk5madPn1KlShXs7OzIzMzk8uXLxMfHU7JkSWrVqiU/txISEjhz5gweHh7UqFEDd3d3TCYTV65c4dmzZ/Ie5Pj4eAIDA9Hr9aSnp3P+/Hn5eSxtFZG+lhAcHIxOpyMlJYUnT54QFhbG/PnzWbBgAQcOHJD7ZWUZPHnyhJCQEPlFtk6nIyEhgadPn1K1alX0loO20tLSOHnyJC4uLvj7+5OdnU1QUBDp6ek8fPhQliHtwa1cuTL29vZkZ2dz+vRpcnNzCQsLk/cYJyUlcfnyZTIyMqhUqRKVK1e2qh+pnjU0NGyjGboafzvUHYPyWjJAULwxVXZ4auNDiSRHacRgYx+QLYRl747SwP0jSPEk/mz8vzvqtqBEWbavqj91m1A/UnU6Henp6QwdOpSePXvSqVMnOV1b6UuDXQl127Al35YcCXU+bLUzW/pI7dZW2oWlpaHxn4T6vlFeS229sPZvy1+N+n5Rp6fE1j0oufMaGXl5eQQEBNCrVy95mbGw0aeoZSndlfKla1vhlLxKTyVq+RTSvyqxlU9b7sr40otLte7qfl3dJ+fn5zN48GB69uxJu3btbJadhK0ykHRS6yahdn/d9avclem/Kk0NDY3/j2boavytUHeqUodmqxOUrpWdmFqOFEaJMqz0W5KhlqPUQx1f2BhgqcNIfpJs5bXGq1HXkYSt+pN+K9uG2l/phkq+yWQiNTUVDw8PeZmbVE/qtJT1LoVT16n0W6mPMowtuVIYZXwJW+Ftpal209D4T0bd5m39NykOetNZngHq+9PWPSHJVqK+V9VhbMnBhiylHCyHKB46dIgqVapQrlw5+f5Vhi0M9X2tNBaV/urwtlD6FRZOrbsaUUi/J5W9TtXXqVGmr9ZH8lfrJoQgOTkZLy8v+fms9JPC25JdmL5K1HoUFk6dX8nNlnxJL2VYDQ2Nl9EMXY2/HerORNmRSW7KDrWwDkoZF8VMnK3O+HW/lfGlNCT/wtK1hTKOxqtR1ruyToRqYKGuL1tlr67LV5W/rbosTK4ybem/so0o46nDFoY6LWX66varlq2h8d+I8h4o7P5Q/laH0dnoM5Tx1Cjd1feyMi21u/p+VOugvpbC2PqtvlbGfRXqdFDpqkadtjovEmp/CXVYW9eoXvopwynDq38r+1xlXHU8yc2WwYkNuRK28iQUfYwtOep4knth+VPqpaGh8TKaoavxt6KwjgdVx6GzMZiRwtjqHF/3Flzph40BhrpTU/4uLMyrZKkpzF3Duv6V1xLqcrPlX5gMyU/3ipUCtgYwamzJV/9Wh1GHk66VYdR6vg6l3hoa/+mo7welu/qeKuyeU7tJv9XxlPdXYXHVYW2FEwojSam3+lqJ+iUqNnRT6y6FkdzUsm3p+jrU6RX2XxlW/Vu6VmJLd6W7GrW8wlDrpfwv/VbrZUtuYe5/hFeVQ2FuGhoa/4Nm6Gr87RGWTx3oLYdJ2OrMXoUyDpbDTQwGg834yg6rMCR5Esrf0oyb9FvyU6eDDb00rJHKTl3eOoXxqSw/dd1JfsrwyjhK+RJKeYW1AbUMKZxU32oZyvDKdCWEaibij4SVwqkHxxLKPGlo/CejbN/qe0J9rXTT2VhKi+q58keu1c8O5T36qvtPclfep4Xdl7ZeshUWXp1nW2H+DEpZttKU0lO7vwplH8hrnuX/LLbKH4tsdblqaGj89dDWO2j8rZA6eOm39F9t5GLpuNSdl9JNGV+Ka1Z9QF4KbyteYfKVYZRuysGMUkclaplqf43/QV02yrIvrByV7UcKI7UfZVxlO5LiqN3UaUgypUGcOh1bg2p1fGUaEpI+kjxJV6Uxrw4r/ZZ0kWSqw2to/CejbOu2riXU7V99H6jvceX9ppRt6/60ZaxJf2ps6anUqTCUfmq9JNR62grzzyLlFYVs6RnzZ1CWj1JXZTko6+efRZKr/FOm9a8uJw0NjX8dmqGr8bdE3UmpOyyz5UPyhXWaOsvbdum35K/syCU35cBBCi/FUbur31Rjia9MSx1f0kXZ2Sp1Uuuu8T8oyxBV+arDSf5SWSvDSDKUcpRGorK+AJ49e8bo0aO5ffv2S2kq616JcnZHHcfWf7WO6vBSOur82IqrzVxo/LeibtfK/9I9K93f6ue1+t5RhlXfJ+q4r0L5PFfKlpDkK58Hr6KwZ5zyz2w2y/LU/ck/gyQ/LS2NGzdugOWTOffv36egoMBm/l6HJFONlA/p97+Kwp7JGhoaf320u1fjb4fUAS5cuJDZs2ej0+l48eIFgwcPZtmyZXIYvV7PuHHj2LdvH3q9nk2bNtGvXz969erFoEGD2LZtm5XxorN8g/Tdd9/lwIEDVsbp/v37efPNN4mKiqJ379707NmTHTt2yLpI//V6PXv37uW9997j5MmTsh7Z2dlMnTqVrl270qtXL7Zv3y539hs3biQqKkqW/c4775CRkfEv7ej/GxGWFwgmk4mff/6Zvn370qtXLwYMGMDmzZtJSkqyqsNnz54xdepUunXrRvfu3fnggw+IiYmR6+Hs2bO8+eabHD16FCx1GR8fz3vvvcfTp0+tDNXLly8zd+5cHB0duXbtGlFRUXTv3p3Ro0dz9+7dQutOp9ORnZ3NF198wddff201yxsXF8fYsWOJioqiZ8+eTJgwgWPHjmEymWR5ZrOZK1euMGrUKLp27UqPHj2YPn06WVlZsvylS5cyYsQI4uLi5AHv8ePH+eyzz6wMXg2N/3R0Oh05OTkMGDCAixcvotPpOHbsGG+++SbHjh1DZ3n+xsbGMm3aNMxmM1lZWUyePJm+ffvSs2dPPvjgA27duiWHle7H9evXM3DgQJKSkmS/goICfvzxR6KioujTpw99+vShV69ePHv2TL6vdDod9+/fZ9CgQfKngiSZANnZ2Xz++eeMGTOGlJQU2f1VhqJONQN59OhR3n77bbp27crnn3/O48eP0ev1sv6rV69mwIABJCQkqEX9wxw/fpy2bduSn5/P8uXLeeedd0hOTv6HnieJiYmybjqdju3btxMaGsqLFy/kZ7ayb/5n0Ol0/P7777z99ttWfez169flcv1XpKOhofG/g2boavytUA4mjhw5wv79+wFITU1l4cKFjB49mjNnzsjhNm/ezOXLl8HSUf/222/UqVMHk8lEz549+emnn6wGIWvXrmXRokX88ssvVm+rr1y5wp49e6hWrRo1a9akZs2aFC9e3KLV/yc/P59vvvmGbt26sXDhQu7fvy/7rV27lgULFlC9enVevHhBnz592Lt3LwDHjh3jwoUL1K5dm+rVq1OtWjWrwcM/MpD4O6AcIO7evZtbt24RERFBRkYGQ4cOpXfv3jx//hyd5UVI165dmTt3LjVr1iQyMpIDBw7Qtm1bbt26BcC9e/dYtWoV48aNIzExEYCsrCxWrVpFWlqaVZorVqzgrbfewtPTk48//hhnZ2fq1KnDunXreOedd8jPz3+pDqWZips3bzJp0iR++uknLl26JIdJTU1lzZo1ODg4UKdOHc6ePUvbtm2ZNGkSBQUFABw6dIj69etz48YNGjduTGBgIN988w1Dhw4lLy8PLO18zpw5/PDDD7Ls6Ohodu3a9Q8tM9TQ+CtjNBpZuXIlsbGxACxevFi+jyUSExPZuXMnQgjy8vLYsmULcXFxREZGcvToUZo3b87Vq1fl8BkZGXz22WcsWbKERYsWye5Go5E9e/Zw/vx56tSpQ/Xq1alZsyaOjo5yGIBbt26xePFivvrqK86dO2fld/DgQb7++muWLFkiz5CiekaoUfZRsbGxDBw4kBcvXtCgQQN2797N/Pnz5bAmk4nPPvuMpUuXsn79eoWUVxvThSHFycvLIykpCSEEWVlZvHjx4qVVL7bi2eKdd97hp59+kq99fHyoWLEiRqMRLPIko53XGL2v8pO4ceMGa9euxc/Pj1q1ahEWFoa7uzv8C2a/X5d2YUjx/tH4Ghp/G4SGxt+Uvn37ig4dOgghhIiNjRV6vV4Aonfv3sJoNAohhAgMDBTTp08XQgjx/vvvi3r16snx27VrJ8LDw0VmZqYQQojk5GRRtmxZMWLECOHm5iYuXbokh506daoICwuTryXMZrMwm81CCCGePn0qxo0bJ+bMmSNKlCghli5dKodLTk4WCQkJQlh0dXd3F99++60QFr169+4thxVCCJPJJIRFvvK/xssYjUbRunVrMWTIECEsZXf27Fnh6ekpxo8fL4QQ4ttvvxXFixcXV65ckePFxsaK4OBg0bdvXyGEEKtXrxaAMBgMYvbs2UIIIe7evSvc3d3FnTt35HgpKSmiRIkSYuHChUIIIRISEuT6+uGHH4SDg4PIyMgQwqKL2WyW/wshxIgRI0S7du1EmTJlxKRJk2S5169fF6VLlxYHDx4UQgiRn58v5syZIwBx4MABIYQQjRo1Eu3atZPlCyHEtm3bRJEiRcTKlSuFEEIMGDBAAMLLy0tcvXpVCCHE0qVLRY0aNWQ9NTT+W0hLSxMODg5iy5YtQljav4uLi/Dw8JCfwefPnxeNGjUS+fn5Ijk5WdSqVUt89dVXQgghbt26JUqVKiWGDx8uy9y3b5+oWrWqaNKkiejcubPcn+Tk5IjWrVuL7t27y2GVSPf4zp07BSBKlCghPv30U6swrVu3FhUrVhRBQUHixIkT4uDBg2Lnzp2ioKBACEtfMX/+fJGUlCSEEOLEiRNi6tSpYs6cOSInJ0csXLhQODg4iLt37wohhMjMzBSpqaly2itWrBD16tUT3bt3F5GRkUKo+inpf1pamti4caP46quvxLp160ROTo4QQohnz56JxYsXi2+++UYsX75cpKamCiGE2LBhg3B1dRW5ubli0qRJIjQ0VDx+/FgIIURMTIyYM2eOmDx5stiyZYvIy8sTwvJsvnTpkvjuu+/ETz/9JB49eiT2798v3N3dRf369cV3330nbt++LR48eCBmzpwpl3NCQoKYN2+e+Prrr8Xy5ctFcnKyEEKIa9euifXr14vo6Gjx7bffilWrVom0tDTxOubNmyd8fHxEdHS0lfudO3fEunXrxIkTJ8SMGTNEXFycePz4sdiwYYOYNGmSWLZsmSxfcr906ZKYNm2aWLBggXj27Jks69GjR2Lx4sViypQp4vfff5fdz5w5I2bMmCGmTZsmzpw5I7sLRf+goaFRONqMroaGBbPZzIcffsjmzZs5dOgQgNXBUgAFBQUIy8flnz17RqlSpXB1dQXLzCpAv379KFu2LAcPHpTj6fV6jEYjSUlJJCYmkpqaKi8Dld4oFy9enBkzZlCnTh1QvKk1m814e3vj4+MDlllCo9EoL9ECOHPmDN988w3Xrl17yU/j9eh0OkwmE1jqqnbt2rRr1469e/fy6NEjDh8+TGhoKGFhYXK9lCtXjubNm3P79m15f1vJkiUZPXo006ZNk5ePC8shZRKrVq3CxcWFVq1agWU2QghBamoqe/fupXnz5jg7O8u6KGcnMjMz2bt3Lx06dODdd99l48aNpKamynnAsjIAwN7enjfffJOSJUty5MgRLl26xK1bt2jZsiVubm5yPtq2bUvx4sXl2WGTyUTLli2pUqUKkyZNQkK59FpD47+V/Px8GjRowJtvvsn3339PcnKy1ZJkZTiA58+fk56eTs2aNWW/RYsWERgYyJQpU9i7dy8XLlwAxTM9JyeHtLQ0EhISyM7Olv2U8t3c3HjrrbeYM2eOnNbly5d5/vw577zzjny6/549e4iKiuLZs2dg6YeGDx+OyWRi+fLldOzYkZs3b7J9+3b69OlDYGAgLi4ujB07lidPnuDq6oqHh4ec9r59+/Dw8OD999/n0aNHnDhxQs67UsfRo0czfvx4UlJSmDhxImvXriUpKYmoqCi+/fZbnjx5woQJExg6dCgonh+SDCEEDg4OPH36lN69e7N69WoSExMZOHAgmzdvBmDv3r00atSIe/fusWXLFkaNGsX69evJyMjg3LlzzJw5k4yMDC5cuMDHH38MQHx8PO3atePbb78lMzOT8ePHM3z4cLCs0HrnnXfo2bMnt2/fZvTo0Xz66ae8DukZLs0YSytkTp48Sa9evejRowdTpkzh5MmTjBs3junTp5OZmcn777/Phx9+CMC5c+d466236N69O8+ePeOjjz7io48+QgjB8+fP6dSpE2vXruXevXv06dOHu3fvcvDgQVq1asWFCxe4fv06/fr1s1rppfXzGhqvR7tLNDQUA5AOHTrQq1cvpkyZYuUO4OTkxPnz5/H19aVMmTI4ODjwzTffyP4//vgjzZo1o27dujRv3pxFixbJxpO9vT23bt0iICCAcuXK0bFjR3lfpNRZSQMIySiS0taplqRNmzYNb29vunXrBkDZsmVxdnZmy5YtvPHGG3Tp0sVq/5JmnLweaQAm/Qbo0qULN27cICYmhvj4eOrVq2cVHqB8+fJgWZaHpbxHjhyJi4sLs2bNwsnJSXbHMsDdsWMH9evXp2zZsgCcOHGCsmXLUrJkSc6fP8+ECRNeesEisXDhQnJzc4mKiqJVq1ZcvXqVu3fvWoVRDn7c3Nxo0qQJJ06ckA9/qV27NijybG9vT7FixeQ8mM1mfHx8+PDDDzl8+DBXrlzBycnJaoCqofHfihCCgoIChg8fzsOHD1m3bp38uTgJg8HA1KlT8fb2pn379nTu3Jm33noLgGvXrnHmzBl69+5NWFgYLi4unDlzBizPAQcHB3bt2oWfnx+lS5fmxx9/lP3Uz6DGjRvj6OjIqlWrANi0aRNOTk7UqVOHnJwchBAMGDCA9PR0nj59ChZjbujQobi7u/PLL7/wxhtvsHz5crZv38748eNp3Lgxc+fO5dq1a4SGhjJ58mTZ2L59+zbbtm3jyy+/pH79+hiNRo4fP26lE8Dhw4fZtm0bc+bMYfbs2fz222+0bt2aX375hZiYGK5evcrcuXP55Zdf2LhxI7/++ivOzs7yc1DqF3U6HcuWLSM3N5cDBw4we/Zs3nvvPSZPngzAF198Qa9evZg/fz7bt29n3LhxzJw5kwoVKhAVFcXt27epVasWRqMRg8GAwWBg1qxZ6PV6Tp06xdSpU1myZAm//vorN27cwNHRkezsbMaMGcOyZcsYOXIkx44d48WLF3LebKHT6UhOTqZ27do4OztTq1Yt0tPTsbOzA2D69Ok8fPiQ9u3bM2fOHI4fP860adOYOXMmK1euJDs7G71eT05ODh9++CGzZs1i1apVrFmzhmfPnrF48WIyMjJYu3YtS5YsYevWrfj6+jJjxgzatWvH2rVrWbp0KcWKFWPGjBmyXtqzWEPj9WiGroaGwhBxdXXlrbfe4tKlS2zYsAF7e3s5jNFopFy5csybN4+WLVsCEBgYCMDTp0958uQJdnZ2PHjwAC8vL548ecLp06fBYjyULl2aX375hUWLFvHtt9/i4uIiy1YivT2XdBKKU5f37NnDypUr+fLLL6lQoQJCCAYNGsTRo0c5evQo8+bN49SpU0yfPl2Wp3WGr0YqH6m8JW7duoWnpyeOjo7o9Xp5VkUZNj09HbPlG8xYZnnKlStHjx49mD9/PteuXcPe3l5O4/bt2xw4cIAxY8bIsipUqMCsWbNYtmwZlSpVYsSIESQlJTF16lQ6depEp06d5ENp4uLiMBgMPH78mJSUFEqXLs2CBQtAYbgq6zsvL48HDx5QsmRJDAYDZrNZno1QGsT5+fnytRACo9FI+/bt8ff355tvviE3N1f2U5eThsZ/G2azmYCAAIYMGSIbMcq+wGw2y/elm5sbfn5+stFz69Ytnjx5gpubG/fu3aNJkyaycSIsRnStWrVYunQpy5cvp3v37qAw/qRweXl5NGrUiPDwcDZv3szz589ZtmwZEyZMwMHBAZ1OR0FBAUFBQbRp04YZM2aQnp7Ozp07CQ8PJy4ujujoaBo2bAiAg4MDkZGRCCHo06cPJ0+e5Msvv+TLL79k7NixAFy/fp3MzEwSEhK4efMm1apVY/369WRmZlrd90+fPsVkMtGkSRMA/P39KVWqFHfv3sXZ2VlekdK6dWuKFy9Oamqq/HyRnpd6vZ7c3Fxu3bpFcnIygwYNIioqiu3bt5OWlsbz589JSEigVKlSYOmbIyMjcXNzw2Aw4OLiIu+TVfaRv//+OxUrVpTj1ahRg5IlS3L9+nXy8vKoWrUqffv2BcDR0RGhWnGjRHqW6vV6nJycGDlyJJMnT2bIkCHY2dlhMplwcHCgefPmuLu74+zsTGZmJsOHD6dnz5788ssv8vNfGgM0a9YMAC8vL3mWODo6Gjc3N4oVK4YQgtq1a5OamkpMTAw3btwgKiqKN998k+joaHkFj6Sf9jzW0Hg1mqGr8bdG6sik/7m5ubRo0YK+ffsya9YsEhMT5dk1k8lE8eLF6d69O19//TXR0dHygT179uzh7t273Llzh3fffZfjx4+Tm5vLrl27wGJIFC1alD59+hAVFUX9+vWtDA1lZyW92ZfcpHBHjhzh3XffZdq0abz77rtyeA8PD4oWLYqLiwtt27YlLCyM6OhoUA0ANF6NVN7S/8OHD9O2bVvq1KlDYGAgR48exaw4ddhkMnH06FF8fX1xdHSUTzc2m818/PHHlC5dWn7hINXBvn37CAkJwd/fX063RIkS9OzZk169ejF16lSio6OZN28eLVq0oFWrVrRs2ZKIiAiePn3KsmXL8PLyYsyYMcycORODwcCFCxcwmUzy4FFZ3wkJCVy5coUuXboQERGBh4eH1ZJ6neWE15iYGIKDg2V3iVmzZnHy5El27dolD641NP6b0Vm2MQghmDhxIq6ursyYMQOdYvmu2WymevXqvP3223z22Wd899138qF027Ztw8fHh5kzZzJu3DieP39Obm4uv//+O46OjrIR3b17d6KioqhYsSIUsgw1Ly+Pjz/+mLNnz/LVV1/h4eFBZGSkbBRLRuMbb7zB1atXmTx5MsWLF6dly5bk5+djNpvJyclRiwWgZMmSjBkzhi+++IJt27ZhMplYuXIlPj4+/Pjjj4wePZr09HRu375ttVwWi65ms9nq5R+W/kZpNBYUFMjLfaU+TflCTfpfrFgxmjdvTtOmTfnggw9YtmwZ7u7urzRA1f2nJA/VSwOTyURWVhbu7u7oLafsK1HGU6J0LygowNXVlYEDBzJ27FiGDBmCi4uLVX8A8OjRIzp37kxubi6dOnWiWrVqL/UZklzJXdmuUPQ/UlmWLVuWVq1a0bRpU6ZOncrEiRNlf+15rKHxel5+smpo/E1QdspShyFdjxw5kjt37sin7krhpU4yLCyMZs2asWXLFlJTU1m+fDmdO3dmx44dbNiwgZ07d9KrVy+2bdtGZmYmdnZ25ObmkpSURHJyMklJSS8NQIQQ5OTkkJKSQkFBAenp6fKSsoMHD9K9e3fefPNNBg8eTEpKChkZGaSkpLB7924SExMxGo1s3ryZ06dP06FDB7AxS6nxPygHMsJyEmh6ejoxMTEMGjSImzdv0rdvX/R6Pd27d+f27dvMnDlTrpepU6dy8uRJoqKiZDlmsxmTyUSRIkUYOXIkR44ckQd6ZrOZZcuW0bt3b7y8vMByUvPPP/9MSkqKvEzQZDLRtGlTatWqxfDhwxkxYgT16tVj37595OTksGTJErZs2cLWrVuZM2cOMTExbNu2TR5Ep6amkpWVxfHjx+nbty9BQUFERERQsmRJWrRowZIlSzh27Bi5ubk8fvxYXuYorVIQllkngIYNG9KkSRM2btxoNaOlofHfglCthJCe8SaTCU9PT4YPH86xY8esPrclhJCNvHbt2uHn58eKFSvIyMhg48aNTJ06le3bt7Nx40a2bNmCj48P69atk5/HWVlZZGZmkpKSQnJysny/KfsaqX+qWbMmxYoVY968ebRr147ixYtjNBoxW771DtC/f3/MZjMzZsygRo0alC5dGn9/fypVqsSePXvIy8vj3r17fPnll2zfvp358+eTnZ1NfHw8e/bsoUyZMkRHR3PhwgW+/vprduzYwZYtW1i5ciXly5fnl19+sdLPz88Pg8HAihUrEEKwZ88edu3aReXKlXnx4gV37tyRn3d2dnY0bNgQo9EoG3pmy5kGjo6OVK5cmYSEBNq2bcu7775Lr169cHJywsXFBT8/P86dO0daWhoxMTH8/PPPZGVl4erqyt27d0lJSZHLSyrDiIgIzp07x+3btwFYv349dnZ21KxZUz5jQ0Kqazs7OxISEvjkk0+4c+eO7K/sPyWdlaivY2NjuXfvHhMmTKBv374Iy5hB2caUcSRjNzg4mISEBC5evEhOTg4rVqwgNTWV8uXLYzKZ6NevH++++y7t27eX46v/a2ho2EYzdDX+dkgdg4ODA25ubrK7wWCQP/NQuXJlRo8ebbU8ytXV1Sr8u+++y/379/ntt9+4du0aAwcOxMPDA29vb5ydnRk5ciQ3b97k4cOHFCtWjLS0NBo0aED9+vWpV68ea9euBYU+L168oG/fvgwePBhHR0dmzZpFkyZNiImJYcuWLRQUFLB161YiIiKoW7cuffr0ITExkblz5xIcHEyZMmUYNWqUbBBLsoX25veV6HQ6SpUqxaFDh6hXrx6tW7fm8uXLLFy4kLZt2yKEoEePHgwePJhp06ZRrFgx3N3dWbZsGT/88IO8N89sNlOkSBF5piEqKoq2bdvi5eWFk5OTPMsvLfeT0l68eDGhoaEEBgYybdo0Pv/8cxo0aPDSQGblypVERUVRo0YN3NzccHV1pUOHDvj5+cmH3fj4+DBhwgTCw8MZOHAgnp6ebNmyBT8/PwA+//xzQkNDad26NW5ublSsWJEXL16wZs0aeRm+TqfD09NT1vGTTz6hVKlSFC1aVBtUafxX4u3tjYODA1j2tdvb28srefr27Uvz5s3x9PREZ5mRdHJykpfnBgQE0L59e44cOcLs2bMpW7YsDRo0wNnZGU9PT3x8fKhduzYnTpzgyZMnlC5dmkuXLlGrVi3q169PREQEjx8/lg1oLH2Tt7c3ZrMZZ2dnBg0ahJubm7zk1sHBAWdnZ/kMAGdnZ7p27QrA4MGDAXBxcZG/y+3n50fdunW5e/cudnZ2TJ48GQ8PD/z8/MjKymLlypXs3bsXZ2dnOnfujLOzM+7u7lSsWJEGDRpw5coV2ajG8gLs/fffZ8KECZQuXZr+/fuTmprKhx9+SJcuXWjQoAEBAQFMnjyZqVOnEhoaislkwsvLC71eT5EiRXBwcECv1zN69GgaNWpE7dq1CQwMpGrVqvJKqO+//57Hjx/j7+9PZGQkZ8+exc3NjVmzZnHu3DkCAwPZvHkzbm5u+Pj4YDKZmDRpEjVq1KBu3bqUKFGCH3/8kcWLF1OiRAmcnZ2t+nB3d3ccHR1xcHDgwYMHzJ8/X97rrMTR0REXFxd5ebpUTwaDgSJFisjuNWvWpHv37jRo0IA6depw5MgR+TOC9vb2uLu7yy8MDQYDHh4eYKmz+vXr07hxY4KDg/nuu+9wc3Nj3rx5ZGRkULFiRQIDA2nUqJG8ckBqL1rfrqHxanRCG7lo/I2QOgYhBNHR0ZjNZipVqkR2djYXLlwgPDxc3jubkpJCXFwcJUuWpFixYjx58oT09HRCQkLAcrDQ+fPn8ff359GjR1SrVg03y2m2Op2O/Px8zp49S7Vq1TAajcTFxVkZLyVLlsTX11cObzQaefDgAbm5uRgMBkyW5agVK1YkPT2dhIQE2XDV6/UYDAaCgoJITk7m+vXrZGRkUL58eYKCgnBwcJDlmhV7SDX+B+Wj7/Hjx1anF5cuXRpvb2+rgYTRaOTmzZs8efIEk8lE1apVCQgIkGU8efKE58+fEx4eLrs9evSI9PR0goODef/99zlx4gRXrlyR09bpdMTFxXH37l3S0tIoU6YMoaGh8gBWGe7SpUsULVpUPsRK0u3atWs4OztTrlw5oqOj5UOlnJ2d8ff3l9uC1G7S0tK4cuUKaWlpODo6yjNGEteuXcPV1VU+aMtsNnPr1i1cXFzkJdfa4ErjvwFhmXG7du0aAQEBeHp6EhMTQ2ZmJlWqVAFLW4+PjyctLY2goCBMJhM3btygWLFi8j7Qx48fExcXR7FixUhJSaFGjRry3kydTkdSUhKxsbGEhYURHx//0j7LoKAgqwPf0tLSiI6OpmrVqtjb25OSksL9+/epVq0ajo6OZGRkcOfOHSpXriyf+j979mx+/PFHLly4IK8YwTLLeO3aNVxcXKhTpw7u7u7cu3ePO3fuoNfrqVWrFr6+vjx+/JiEhARq1KiB3nJCspT3x48fU6tWLSvjymw2c+7cOeLj4ylXrhyhoaHY29uTn5/P6dOnSU9Pp2zZsoSGhmIwGEhJSeHhw4dUq1aNxMREnjx5QtWqVXFwcCAjI4MrV66QlJRE0aJFqV27tvwMfPr0KRcuXKBIkSKEh4fj5uaG2Wzm6tWrPHv2TN53/PDhQ6pUqYLBYCA1NZWLFy+Snp5OpUqV5D47Pj6exMREqlatCpatHc+ePaNatWosWbKEOXPmsG/fPnmvrPScS0hI4NGjR4SFhVn1rc+fPycuLo5q1arJL0ZSU1M5deqUPCOdmZlJaGgoGRkZxMTEyHWamppKdHS0/LzPzs7m1KlT5OfnExISQrly5QBISkri8uXLZGdnExAQQNWqVa36Lu1ZrKHxajRDV+NvRWEdhLJTs4W0xEjq4KXfaiT5ygGB5G4rvCRLvGIvrVKmGlty1TpIqMNp/LGyFYpZcXU49eNT8jdZPv0hkZaWxptvvil/XkJZ72q5r6szpV7KMLbagoT0sqOwlx5KmWoZSjd1mhoa/8nYelYq27r6/rQVprB7QfJT3nOFhX/VPW8rTXU4k8lEmTJl6Ny5M3PnzpXDCVW/8qr01fIl1O6F5b2wPKjdbcVT66ROS+2u9pNkvC5eYXkxGo1ERUXRr18/OnXqhLBRdhK2dJDCS9e20i8sbVv5l9yxIUvJq8YiGhoa/x/N0NX4W2GruSs7SKlzU3YyUmeiRor3qg5MHU75XwqjlmNLhlJOYWHU15KbWrbG/0ddTmo3tbuyDAsLJ/mp69psNvP06VP54CplWAm1DmoZhdWlNJAurB2or9VuQjGgU1/bimdLBw2N/0SUbVuJso1L/9X3mYSte0F9vyrvK+V9aSucrXtMGUdp3EjhMjMzWbt2LfXr1yckJKTQNJSo5SvDFPZbwpabEkm2rTBqP/W1LdRhCtNPGU6dP1thpXAmk4lHjx5RqlQp+SRmdZrSb3UbUKejvFa6K1GmXdh/KV5hOiv9NTQ0CudPGbqF3dwaGhoaGhoaGhoaGhoaGn8V/pShC5CZmcmLFy9eekP1V8GWAf5X1VVDQ0NDQ0NDQ0NDQ+M/BUdHR/mgtb86f9jQlZZIpKamEh8fb9Og/CtgKzt/VV01NDQ0NDQ0NDQ0NDT+ExBC4OLiIh+M+VfnHzJ0pW+L/hX3B/wVddLQ0NDQ0NDQ0NDQ0PhPRjJ0y5Qpo/b6S/LykXKFIBmPSgP3VQalEAKDwYC9vT0ODg44ODhgb28vx//fRK/XY29vj52d3f96WhoaGhoaGhoaGhoaGhp/Lf6woavkdcaqzvJR9djYWA4fPsyhQ4c4cuQIR44cISEhQf7shtJQln4rZ2SVaehsnH6r1EP6b2dnx61bt3jnnXdYv349BoPhpdlntVzp+nWGu4QU51VlgOrlADaWVdu6VseR3DU0NDQ0NDQ0NDQ0NDT+GP+Qofs6zGYz7u7uzJo1i4EDBzJw4ED69+/PgAED+P3333F1dbX6xIadnR0ODg7o9Xp0lpliJycnnJ2dMRgMsqHn4uKCo6OjHFYyfJ2cnLC3t8fe3h4XFxfu3bvH0aNHuXjxImazWZ5RNplMADg7O8sf/dbr9Tg6Oso6SHrZ2dnh5OSEg4ODrJOkh8lkwt7eHkdHRzl9ZX5QzCpL+trZ2cl+dnZ2ODo64uzsjKOjo/wpD53FmJfiSPLVBrhm+GpoaGhoaGhoaGhoaBTOH96jK5GWlvaHDqNyc3Nj8ODB7Nq1i0mTJhEREUFubi6lS5fGaDQSHx9PQEAATk5OJCcnk5CQgL+/P15eXsTFxfH8+XOEEPj5+eHp6Ul2djaxsbGykRcQEICLiwtGo5GYmBi8vb1JTU3Fzs6OEiVKcOjQIQIDA6lQoQKxsbHo9XoCAgLIzc3lyZMn6PV6/P39SUhIIDMzEx8fH+Li4tDpdFSpUoUXL17w8OFDHB0dCQoKwmg0Ws22xsXFUVBQIOur1+spU6YMbm5umEwmjEYjsbGxsnFdpkwZPD09MZvNpKWl8fjxY9l4rlixovztNoD79++Tn5+Po6Mj/v7+8gx4Yd/x09DQ0NDQ0NDQ0NDQ+N9E/Ift0f2XG7rS8lt3d3cGDx7Mzp07WbFiBa1btyY3NxeABQsWMGXKFHbs2EF4eDhjx45l7dq17N69m7y8PD777DOuX78OQOvWrVm8eDHTp0/nxx9/lNNp27Yts2bN4sWLF7Rq1YpSpUpx584datWqxS+//EL9+vVp3bo1n376Kf3798fNzY1NmzZx/vx5oqKiqFu3LgsXLmTatGksWbKEKlWqcOnSJQDefPNNrl69ypUrV3BwcGDGjBl06tRJ1t/FxYWRI0dy5MgRKlSowMWLF+V4H3/8MUIIvvnmG9asWSPr26ZNGyZNmoSjoyPjx49n//79sl9UVBRTpkwhLy+PKVOmsG7dOnJzczEYDIwYMYL33ntPntkurNw1NDQ0NDQ0NDQ0NDT+t/hPM3T/5UuXlTOOZrMZgI0bN/Ltt98ya9YsYmNjrZbxAiQlJQHg5OTEwYMHuX79OuPHj2fXrl20a9dOPtTq+++/59KlS/Tu3Zs9e/awatUqnJycMBgMREdH065dOyIjI8nNzUWv15OZmSnPgtrZ2aHX68nIyCAzMxO9Xo9er8dgMGA0GikoKGDw4ME4OTmxcuVKfH19eeedd8jPz2fp0qUYjUaw5A/LN6TS0tLIyMjgww8/JDAwkJUrV3L37l1+++031qxZQ+3atdmyZQutWrVi7969bNmyBZPJhK+vLytXruTMmTOULVuWDRs28PTpU/bv38/y5csZNmwY586do0WLFvzwww9ER0fLS6jRli5raGhoaGhoaGhoaGi8kn+5oWtr1nH79u3Mnj2bhQsXkp6eLvtLe3Il49FsNlOiRAkAVq5cyeHDh2ncuDGZmZkMHz4cvV7PihUrePr0KQDJycnY2dlRUFBA2bJlmT9/PuPHjycjI8Pm3laDwSCnpV4CPHDgQD7++GNCQkLw9PTkyy+/5K233gKLXlK+1Ebm2LFjmThxIhEREQA8evSIEydOANCzZ08aNWpEjx49AIiLi8PLy4tRo0Zx584dli9fTl5eHjrL3tyzZ88C8OTJEzZt2kROTg4Ajx8/BsUhWOp8aWhoaGhoaGhoaGhoaPwP/3JDF8WMo2SQ/fjjj1y7do3ff/+dkJAQeaY3KysLnU6Hg4MDANnZ2fTv35+ZM2fi6enJd999x6BBg3j8+DH9+vXjk08+4cyZM8THx4PFcJX2wEoGrLS8GNXJxTk5OeTk5MinMEszvZIuBoOB/Px8nJ2d5RlnpSylgSulhWVmNz8/X3bLz88nNTUVLDILCgrkw7McHBy4desWLVq0YM6cOVy/fp2srCz0ej0FBQWkp6cD8ODBA86dO4e9vT3NmjWjQoUKmEwmhOXwLA0NDQ0NDQ0NDQ0NDY3C+V+xmtQzn+7u7nh6euLh4WFlnB47doyYmBiuXr0KFsPw6tWrvPHGG6xZs4ZatWpx69YtLl++zMmTJ2nevDkbNmygdevWNtOSfquNQXt7e+7cucPNmze5cOGCPCuq/FyRpJMQQjZ+lShniJX+v//+Ozk5OcTExADg5+dHrVq1ADh9+jRGo5EbN25gNpvx8PDg/v37pKWl8e677/Lrr7/i6+srn+IcGBgIQN++fVm3bh2rVq1i2rRplCpVSp5VRlu6rKGhoaGhoaGhoaGh8Ur+VwxdVLOpRqMRYfnurNlspkKFChQpUoSffvqJRo0ayWEdHBzYtm0boaGhdO/enfPnzxMREUGdOnUICQlh3759NGvWjHnz5oHFOFUapmazGYPBIBuFRqMRR0dHgoODycjIoF27dixatAhnZ2fZyJUMXCmOdA1QUFAg/5b0Vy8bXr58ORUqVOD3338nIiKCKlWqEBkZSdmyZVm/fj3ly5dn+vTpBAUF0aFDBwIDA3F0dGTBggXUr1+fp0+fotfryc3NpWvXrvj7+zNmzBhCQkIICgqidevWxMfHy8uulca5hoaGhoaGhoaGhoaGxsv8y09dlrCzs+Py5ctcuHCBTp064e3tLRtpBoOBU6dOcejQIfz8/GjQoAHnzp2jXbt2ZGZmsmvXLuLi4vDz86Nnz554e3tz5coVtm/fDkCDBg24ceMGLVu2pFy5cmzatAlfX1+aNm2K0WgkLy+P3bt3U7FiRapXr05GRga7du3i3r17tG/fnuzsbAwGA5GRkVy9epX79+8TERFByZIl5dOQGzVqhMlkYv/+/Xh6esoGubCcNjZ27FjWr1/PqFGjMJvNmEwmunXrRrly5XBwcOD27dvyjHX58uVp2rQpAQEBZGdnc+7cOQ4dOoSvry+hoaEkJCTQokULihQpwuPHj9m+fTvJycm4urrSsmVLgoODsbe3x2QyacauhoaGhoaGhoaGhsb/OZId9J9y6vL/iqErzXza29uj1+vlU42VS4odHBxkw00IIe+R1VtOQzaZTPIyZ5PJhIODg2zg2dvby6cgFxQUYG9vj06nIy8vDyyzyfb29mCZTdZbTlc2mUzY2dnJs7NGoxGDwSAfaCUtIdbpdPJ3c+3t7eWwUlG5uroyevRoNm3axMKFC2XjWa/Xk5+fjxBCPiW5oKBA3vMr5c/e3l6ehZbybzQaMZvN8n5ls2UPsaSLhoaGhoaGhoaGhobGv4v/NEP3Ty9dtrV8V43kL82uSgatkvz8fMxms2wE5+XlIYSgoKBA9svPz5eXEhuNRkwmEwUFBeTk5GAymWTjMz8/38rIldzy8/PBYjRKhmReXp6cJpblz5KOWAxnybBUy9FZ9umazWbKlStHWFgYPj4+cvz8/Hx0llOkjUajbPTm5+fLhrMQQtZBKh8pnGTUFhQUyDpLaWtoaGhoaGhoaGhoaGj8Mf70jG5qaqp86rFkuKmRDF2l3+uMYwlb8igkfmFh1diKy5+MbyusNBuLRZa0rPhfjS39bemjoaGhoaGhoaGhoaHxv4GwzOiWK1dO7fWX5E8butIspGTk2TLC/hkKU8dWOoWFRWWc2orLa+K/DqV8yciVfivDqN0kd7XbqyhMfw0NDQ0NDQ0NDQ0Njf8rdDodzs7Oaue/JH/a0OUPLl/W0NDQ0NDQ0NDQ0NDQ0Ph38Kf36P7V+Qfs9n8IYTnQSjmr+7q0X+ev8Z/Pv7qOle3rH+Wfift3QCuf/7sy+L9KR82/It1/hYw/yz+Spq04ttxex5+N82fD/7fwf5nvfzatfza+hoaGxn8a/9CMrobGfzJSk1euShCKVQpC8c1k9fJz9UoGW7dPYWHU7ko/ClluL+mh1E/ClpuEMp50rT4Q7u+OVEbSCee2/F5FYWWrLvvC6k+Jsh1I2Aqvbi+FUZhuhaHUuTB9X1VetlDnSSmvsHwoy+x1qMtXclOenaBEXRaF5UMdtzBd1J95+zP5UKchUVjZoyh/W9gqT2WZYDlT4s+gLh9beVLqpK4Dpb/STxn+z+r0r6awMlXXjzIPkr/UzpS/1WWhRumvlmmLf1Q3ZbzCdJLi6VT3tBROKVcKI/22pZeGhobGXxHN0NX4W6EcYDx69IiCggIqVKhAfn4+N2/exMXFhUqVKsnhbt26RdGiRfH19eXp06c8e/aMgoICDAYDHh4eVKxYUZat0+l48eIFMTExFC9enNKlS8tyEhMTefz4sXzatxCCMmXKUKpUKTm+NHDW6XQ8ePCA1NRUKlSogIeHBwBPnz7l8ePHYPnEVcWKFXFycgLg+vXrZGVlobPsmwgNDX1pwK8NTl5GWAaqDx8+JDMzk8DAQLlMU1JSSE9Px9/fH6PRyN27d/Hz85Prp0qVKvLnyqS6f/LkCVWqVLEabEr/Hz58yLNnz9DpdDg6OsqfTrO3t6dq1aoYDAZZJ71ez4MHD0hKSkKn0+Hr60vZsmVlvW3VpRCCBw8eoNPpKF++PEIITCYTd+7coUyZMuTm5hIdHY2dnZ38iTOj0YiDgwMhISE4OjpayXv8+LF88KCHhwfly5e3yq8tEhISiIuLw8vLi3LlyqFTDKKzs7OJjY2V7zlXV1c53v3798nOziYoKAhHR0c5TkxMDElJSQAYDAbCwsJkHSTU+kh+0r2kDGsLnU7Hzz//zJkzZ5g7dy7u7u6yzPz8fO7du0dWVhZCCOzs7ChZsiSlSpWS245kIDx8+JCUlBQqVqyIu7u7LD8uLo6nT58iLJ/Rq1y5Mi4uLlZ6KmVlZWURGxtLdnY2Qgjs7e0JDAzEzc2NgoICYmNjSU1NleMLIahataq8X0p61gQEBODl5WWVf1v1lpeXx507d+SvHQA4OjpStWpVnj9/ztOnTylfvjxeXl4AZGZm8vjxY/k5ee/ePcxmM8HBwXIbjo+Pp6CgAD8/P7BhZCmxpdP/JWazmZs3b5Kbm4uwfBqwbNmycn6ltqB8Ptt6yaHOo7J+pWv1ixZ1G1XKlO7drKwsuV58fHzke1sKb+u3pLNSplo/yU1d/tK1Mo9SOEnGv/sFhYaGhsYfRmho/I0wm83y/969e4tWrVoJIYSIiYkRgPDz8xPPnj2TwwcEBIhvv/1WCCHE6NGjhaOjo2jWrJnw9/cXbm5uYs+ePVZyp0yZIgDx9ttvyzKEEGL69OnC3t5eNGnSRDRq1EjUr19frFmzxiqMxJMnT0TlypUFIDZt2iSEEOLSpUsiMDBQ1KpVSzRp0kS4uLiIefPmCSGEWLFihfD29hZNmjQR1apVE3q9XuzcuVMIi14mk8lKvoY1ubm5olOnTgIQc+bMkd1Xr14tevToIYQQIi4uTvj5+YnNmzeLQ4cOCUBER0cLoaj7QYMGicjISLm8TSaTVdnPnj1b1K5dWzRv3lw4OjqKgIAA0aRJE9GtWzeRkZFhJevSpUuidOnSIjAwUJQpU0aULFlSHD161CqMmvz8fNGkSRO5TQshRFpamvDx8RGbN28WO3fuFOHh4aJZs2bCxcVFlC1bVjRr1ky0a9dOxMfHC6GQ/fDhQxEaGioCAgLktr5ixQohLPkqDKn9+/n5iefPnwuhkLl7924BCDs7OzkvwnLv+fv7C0CcO3dOdo+NjRUBAQGiQoUKokGDBsLV1VXs2LFDlqn8U2PLTbzifvjkk09ERESEePHihRxOWHTw9PQUYWFholGjRsLJyUlUrFhRbN682SrcixcvRL169QQg+wkhREpKioiIiBAlSpQQzZo1E25ubuLHH3+U/ZW6SLLOnz8vfHx85DQB8d577wkhhEhPTxf169cX3t7eonHjxqJRo0YiIiJCPHnyRJYzYsQIAYhRo0bJbuIVZXL37l3h5OQkQkJCRJMmTUSDBg1E7969hdFoFGPHjhWAGDZsmBz+4MGDokKFCiIzM1MkJyeLihUrCgcHB7F79245zNdffy3r/CoK0+n/kvT0dOHq6ipCQ0NFvXr1hJ2dnejWrZvcFtQodZZ+23JTY6vdCVVblq6FECIzM1N4e3vL9VKnTh0xadIkVezC27T6+fNHUOqh5o/kUUNDQ+OvhvZaTuNvi8FgwMHBQb7W6/U8efKEOXPmyG4ODg7yLIXZbCY0NJTdu3dz9uxZwsPD+eabb+TvJ2dkZLBhwwbatGnDb7/9xp07d2Q5ABUrVmT79u3s3r2bffv20a1bN9lP+bZ9xowZ8recJVavXo0Qgs2bN3Po0CE6duzIr7/+itFoZNeuXTRs2JDDhw+zf/9+wsLC+PXXX+W4tmYbNP6nzJUz3z/99BOxsbEvhdPpdNjZ2WEwGAgICMDX15dly5aBpXwTExNZtmwZo0aNslrGKJW9EIIhQ4Zw6NAhtm7diqenJyNGjODQoUOsXLkSV1dXqzoymUysXLmSixcvcvDgQezs7Kzq1FZ96izf8Fa2aUnv3Nxc2rdvz+HDh9m3bx+BgYF07NiRAwcOsG7dOooWLWolU6fTMWPGDM6dO8fJkyepWLEiv/zyi81voivR6/XodDpSUlI4ePAgKGaI1q9fj7+/P05OTlZp7d27l4yMDBo2bMj69etl90WLFmE0Gjl48CAHDhzgyJEjVK5cGRT51+l0ZGdnc/v2bc6ePcuDBw/kmaikpCQeP35McnIyp0+f5v79+3KdADx//pzTp08THR2NwWDAYDC8lDe95ZNx06ZN4+DBg9y/f5/GjRvTr18/Dh06JMs6c+YMt2/fpm3btlb1tHPnTm7dusWuXbvYu3cvp06domnTpqBoV1L7UOLg4MB3333H77//zrfffsuaNWt4/vy5PJv9xhtvcODAAXbv3s3+/fspXrw4AM+ePePcuXO0b9+epUuX8uLFCyu5tpDy8NFHH7F//3727NnD4sWLrWbOV61axbVr18BSJspysre3Jz8/n59++ons7GywPFuVYWJjYzl9+jQxMTGym3pW9N+F2WzGZDLx6aefcurUKVavXs2mTZu4ceMGWGa8b926xZkzZ4iOjgYgLS2Na9eukZWVBZYyfPToEY8fP0ZnmfGV4ty/f19eoRAfH8/jx4959uwZFy9eJC8vz6pNSm1CoqCggM8//5xDhw5x8OBBxo8fT0FBATdv3iQ1NZXr168TExODXq8nLi6Os2fPcvHiRdLT0+Xyv3v3LmlpacTExHDu3DlSU1PltACePHnC6dOnuXPnjlwnJpOJGzducOrUKe7evSuHtdVWNTQ0NP7KFD5i0dD4L0QaRCgHFtK12Wyme/fuzJ8/n8uXL1v5S9jZ2eHo6IiPjw/FihVDZzEuAB49ekRiYiIjR44kIyODR48eyfGEZdmau7s7rq6uuLq6WhkkEocPH+bXX39l5syZsk4AwcHBPH36VB4oxsXFERERgb29Pc7Ozty+fZukpCQyMzPJyMigbdu2KskaapRtwWQy0aZNG9LT05kxY4Y6KFjqMD8/H39/fxo0aMDhw4dlv02bNlG6dGmqV68uu6kH8Q4ODri5ueHq6opOp8PBwQGd4oh+ZZusWbMmTZs2xc3NjdKlS1O2bFny8vLkcGrZUjzlfxQypXbk7u6OnZ0der0ee3t79Ho9bm5u8sscncXw8vPzo23bthQtWpSSJUsSERFBTk6OzXSVmEwmAgMDadKkCfPnz5fdnzx5wv79++ncubNVuzebzRw7doy33nqLxo0bs2fPHtnPy8uL5ORkLly4gJOTE7Vq1aJChQqgKIPnz58zePBgOnbsSNeuXalfvz579+4FYMGCBbRt25YePXrQo0cP6tevz/bt29FZjJLOnTvTvn172rdvz4oVK6wMM3U+XVxcsLOzo3Tp0syYMQNnZ2cuXrwo+x87doxmzZrRpUsXfvvtN9kAcnNzIycnh2PHjmFvb0+VKlVeWtquRvKTlnb7+PjIhqNkaDg4OGBvb4+rqytubm7Y2dkBcOvWLeLi4nj33XcxGAycPn1alvkqhBA4OTlhb2+Pm5sbLi4uYPmcYPXq1QkODmbkyJHyc0xC0qlLly4cPnyYJUuWyPIk9u7dS4cOHejZsyedO3fm7NmzVnH/KkhbFvz8/HB2dsbZ2ZmcnByGDBlCp06d6Ny5M/Xr12fHjh3Ex8fTuHFjtmzZApb8Dhw4kAULFgAwe/ZsWrRoQc+ePWnatCn79u0D4Mcff6RLly688cYbhIeHy4YzNtocinrR6XS4ubnh5OREQkICkZGRDBo0iNq1a/Pee++xb98+2rZtS+/evWnbti3du3cnIyOD/Px8WrZsSVRUFD169KBFixb07duXuLg4dDoda9eupUmTJnTp0oU2bdqwcOFCAH744QeaN29Oz549adGiBStXrrR67tjSVUNDQ+OviGboavytUXfYgwYNolKlSsyePfulMPb29kRHRzN+/Hj69OnD1atXGT16tDzI/P777wkJCaFx48a0bNmSmTNnyjIcHR25ffs2lSpVIiAggO7du8uDYeWg94cffqB///7Uq1fPalAZFRVFy5Yt6dChA/7+/hgMBkaNGgXAF198gZ2dHSEhITRs2JAWLVoQFRUlp63Oo8bLmEwmKlWqxBdffMHatWuJjY3Fzs7upcGdNDDv3r070dHRnDt3DoA9e/ZQrVo1KlWqJMuU6lX5h8W4kwwWZTgpDWVYgHPnznHixAkiIyPl8IXh5OTEvn37CA4OJjAwkBo1avDs2TO5jSrjqtNX6qD0v3//PkuXLqVZs2Zye5TyYEuW2WymR48exMTEcPToUQCWLVuGv78/tWrVkldAYHk5tHHjRnr27EmTJk148eIFJ06cAGDo0KG0bduWfv360b17d86fPy+nJ2EwGGjSpAm//fYb9+/fp0WLFkyZMgWAjIwMbty4QfPmzbl58ybNmzdn4sSJ5OXl8fPPP5OcnMyJEyfYvXs3Pj4+L62iUCK9KBBC4OXlRcOGDdm1axd5eXlkZ2ezZMkSOnbsSKNGjXB1dWXHjh0AdOrUiYEDBzJx4kSaNWvGwYMHKSgokNuSrXLX6/UYjUamTZvG0KFD+eCDD4iMjMTHxwchBI6OjqxatYpKlSpRpkwZ2TgBWLhwIREREXTq1InIyEjWrl0r+ylR1p3O8tJl5MiRVKpUiUqVKskvHEwmE15eXkyfPp0zZ87w22+/yS8qpLrOz8+ncePGvPfee/zwww+YTCZ0iheA8+bNo1ixYjx8+JANGzYQEBDwkg7/TnQ6HQaDgQULFjBgwAA6duxIvXr1CA4OpqCggIYNG3Lw4EEePXpEy5YtmT59OkFBQQQEBHDhwgWwvHi8fv06zZo1Y+/evXz55ZesW7eOhw8f0r9/f95//30A8vPzuXDhAh07duTq1auUL1/+JV0khOWFxrJly5g4cSIffPABBw4cwGw2k5aWxpkzZ9i9ezcLFizAYDAwefJkbt++ze7du7l+/Tr79+9HZ1ldcfPmTebNm8fRo0fZvXs3u3fvJj09nc8++4xmzZpx69Yt1qxZg6urK9u3b2fatGksXryYx48fM2jQIGbNmkVycrKVrhoaGhr/CWiGroaGAl9fX0aPHs2BAwe4c+cO9vb2VoN4R0dH/Pz82L9/P0FBQXTq1AmA7Oxsrly5QmhoKK6urrRr146LFy/Kb+wLCgrw8fFh5MiRjB07lq5du8rGhzS4Wbt2Lbdv3+ajjz6S05T8kpKSePHiBQEBAZQvX57bt2/Ls85XrlxBp9PJg+y7d+8SFxcn6/xXGVD+lRFCkJeXx9tvv03x4sX58ccfMRgMVkafZJgAdO3alczMTA4dOsSTJ0+4efOm1ZJUpVxb5a90M5lMvP/++/Tr148+ffqwfPly2c9oNPLFF18QHh5O586dZXcpvtLg1Ol08kFP48aNY8yYMQwZMgQXFxfZUJNQz15Onz6dvn370q9fP77++msrY/Tzzz/Hx8eHIUOGgCVtyUBTt1Ms+WnevDne3t7s2rWLzMxMdu7cyRtvvEGJEiXkA9kAdu3aRenSpSlatCjNmjXD09OTDRs2AODs7Mzq1atZvXo1d+/epUWLFmzfvl2OK4SgaNGivPvuu5w9e5Zhw4Zx/fp1+cA2s9lMrVq1GD58OO7u7jRu3JjExERevHjBpUuXqFKlCsHBwZQvX5727dtblYmyfpR5k7CzsyMnJwe9Xi8b8+XLlycoKIgqVaqwZs0aebnqTz/9xI4dOzCZTLRu3ZpFixZZyVK3D6l8y5UrR/Xq1WndujUnT57k4MGD2NvbU1BQQLVq1Rg7dixjx46lRo0aAKSmpnLkyBH5hUjz5s05efIk0dHRcn1JKH8Li8HaoUMHxo4dy/Dhw+VDpHQ6HUajkcaNG9OtWzd++ukneWZfeW+YTCY++ugjcnNzWbJkiVWb8/Hx4dKlS4wbN45ixYrJBrtaj383pUuXpkGDBjRs2JCjR4+yf/9+3N3dGTBgAKdOnWLYsGFcvHhRNvg+/PBD5s6dS0ZGBkuXLqVEiRLUq1eP27dvYzKZWLJkCUOGDGH//v0kJSURHx+PyWSiSpUqDBs2jKpVq+Lo6CiXhbodYGlnJ0+eZMOGDWzcuJEbN27Iqy8++OADmjZtSvny5WnRogV16tRh5syZTJs2jZycHG7evImdnR15eXmMGzeO2rVrU7ZsWdzc3MjPz+fs2bPk5OQwaNAgPD09iYiI4M033+T8+fPk5eWxc+dOBg0axJkzZ+Rl2BSip4aGhsZfFc3Q1dBQDLhyc3Pp0aMHlStX5rPPPiMzM1MeABuNRsqUKcOoUaNYvnw5v/32mzzzsX37di5evMiaNWsICAjgs88+IyEhgdWrV8txfX19GTlyJCNGjCAqKgoHBwd50GA0Gvnll18oKChg5MiRDBs2DIDvvvuOffv2MX78eHx9fTl16hQHDx5kwIABREVFce3aNaZMmULLli3ZuHGjPOs1aNAgjEYjesueSbQBymsxm804OjoyY8YM5s2bx++//y7PXilnMrHM0L/zzjscOHCAvXv3kpqaysCBA0E1K1tYmSsH+Hq9Hjs7O5KTk0lKSpJfgBQUFDBo0CBSU1PZuHEj3t7eLxmZaoOloKCAoKAgBg0axLBhw3jvvfesTt4trC3Y29uTlJREQkICbm5u8gnMH3/8MadPn2bbtm1Ws0+SHFuGislkwtnZmf79+zNv3jx+/fVX7t27x7vvvkt+fr6VQfnrr78SFxdHq1atKF++PDExMezcuZNnz56BZYa6S5cuHDt2jLCwML7//ns5rk6n48mTJzRs2JD58+eTmppKdna2lU729vayYSCVl8lkwmw2v7SXubD6UpazzmL4nT17lq5du2Jvb8/KlSt59uwZb775Jv7+/pw4cYITJ05w9epVsNRvs2bNOHDgAL1792b69OnyrG5h2NnZERUVxXvvvcevv/5K2bJlWb16NQaDAbPZTFhYGO+99x6jR4+mVq1aAGzcuJHExESmTp1KQEAAs2fPJjo6mmPHjoGizoXqG/BY2nXbtm157733GDVqFFWrVpXDSm3+ww8/5Nq1a/z0009y+5DyYDKZKFGiBKNHj+ajjz7ixo0b2Nvbg2W57ieffMLhw4epXr06Bw8eLLQd/jsQFkP9jTfeYMCAAaxdu5auXbuycOFCnj9/TqNGjZg3bx5JSUlWy/dr1KhB0aJFmT59OkeOHKFFixa4uLiQn5+PyWQiJSWFuLg4fH196devH8WLF8dkMlGuXDmrU7nV95LyXs3KymL27NncunWL69evM3r0aHkLQ0hIiCxj0aJF1K1bl5MnT5Keno7JZMLOzg6zZc+t8h5QYm9vb6ULlrZQUFBAYmIiz58/R6fT8e6771KtWjWw6KWWo6GhofFXRTN0NTRsDAA+//xzduzYwcOHD632L5pMJgBatWpFeHg4s2fPpqCggC1bthAaGsqqVauYP38+q1evJiQkRF6GaW9vj8lkkj/hUVBQYJWmwWDggw8+YMyYMdStW1cevAYFBVG2bFmio6MpU6YMLi4u6PV6GjVqRGZmJvHx8cTFxcmH9BQpUoQKFSrw7Nkz0tPTQTVw0ngZdd23aNGCpk2bsnjxYnmQrw6DpQ2cOHGCRYsW8c4778gDRiEER48elQ+JeR06nY6ZM2eyZ88eDhw4QN++fcnNzWXo0KGcOXOGtWvX4u/vLy8JzczMZPfu3fLnpNQoZ2/VBo0SyV0IwZgxY9i3bx/79+9nzJgxmEwmPvvsM1atWsWKFSuoUaOGvLTXaDSyc+dO+bM/SnQKI79ly5Y4Ozszffp0evToQdGiRTFbZqAdHR05efIkd+7c4euvv2bhwoUsXryYWbNmER0dzZ07d7h27Zr8eSMnJyd54K7kyJEjXLx4kU2bNrF582Zatmwp66muO6ksHBwccHd3JzExEYCsrCyOHz/+SuNTmoXOyMjg22+/JSMjg8jISB48eMDvv//OBx98wNKlS/nll19YtGgRKSkpXLx4kZiYGB48eACWZ4C0QkRvOfju999/l40RJUIIcnNz5TRzc3PRKw45k/QpKCjAbFk+vHXrVmrXrs3atWtZsGABCxcupE6dOmzbtg0snx06duwYRqNRriNlelK5mUwmq1l3yb9q1ap07NiRLVu2kJqaavVclOjbty8lSpSQjXIsz7YJEybIe9qVe5v/SkjPdrPZTHx8PC4uLhw7dowHDx6waNEitmzZQuvWrcnPz6egoIDAwEA6derEwoULiY6OpmvXrmDZz+3q6sqKFSvYsWMH27dvZ+rUqegsZy5IL1qwlN2NGzc4efKknLbyftVZ9vDb2dlRpEgRULRn5VL7M2fOULRoUbZv387cuXPx8vJ6qQ4lpHbk6+tLTk4Ohw4dAks7u3XrFh4eHhQtWpSZM2eyY8cOdu7cycyZM+XP5aH1JRoaGv9BvH4UpqHxX4iwvMWXBgtSBy4NQOrWrUubNm1AMcg1Go3yYMjBwYGoqCguXrzIvn372L59O4MHD6ZFixa0bt2aJk2aMGPGDPbv38+dO3cwGAzcuXOHRo0aERkZSWRkJKtXr5YHDDqdjjfeeIPhw4czfPhw3nnnHQA6d+5M5cqV6dSpE0uXLmXQoEGMGzeOfv36MXLkSBo1akTLli356KOP+Pjjj+nfvz+bN29m0KBBsmGh8WqktiDVs5OTE6NGjSI3N1c2JLAMhKX6B4iIiKBKlSqcOXOGZs2aye6PHz9m6NChVgcrKdFZXpgoB6JKYwzLCcWLFi0iMzOTd999lzp16tC5c2fy8vK4fv067du3l5enK2WYTCbZQMLSnpXXknzpm6GoZmikvB46dIjJkyeTl5fHxIkTqVOnDi1btuTu3bukp6fzxhtvcOvWLVmmFD8vLw+TyUReXh4hISFERERw7949unTpIss3Go0YjUaOHz+O0Whk6NChtGjRgmbNmtGrVy9q167NtGnT2LVrF8HBwTRu3JhatWpx8eJFeV+6RFBQEB4eHowZM4b333+fBQsWyLONUhkr689oNOLo6MiQIUM4efIkbdu2pVmzZsTFxeHs7GxlgEhxAIYNG0b9+vWpWbMm8+fPZ+7cuTRo0IAzZ84QFxfH0KFDadq0Ka1ataJr165069aN2bNnc/DgQapVq0aDBg2oVasW69atY8yYMej1eubMmcOnn35qVT8o6mzw4MHUr1+fatWq4eTkxJAhQ8jLy0MIwYYNG4iMjKRBgwY0atSIvXv3sn//fgYNGiTr0apVK/r378+2bdt48uQJkyZNYuzYsWRmZoLqmSe92IiMjCQiIoJu3bpRUFAgl59ULu+//z7FixeXT1cWlgPapHIqUaIEY8aMITs7W44zcuRI2rVrxyeffEJmZiahoaGgeCny70ZnmfGcMGEC9evXp06dOty/f5+JEycSHByMk5MTX331FePGjWP+/Pk4OzvLZdesWTOeP39OxYoVCQ8PB6BDhw4EBQXRtGlTJk+ezIABA+jVqxdY9uiqn8lTpkzhk08+AYsu0ssx6T6SykhtZCrlhISE8Pz5c6ZMmcJbb73Fo0ePZH/l/QmQk5NDbm4uYWFhtG/fnk8//ZTx48dTq1Ytfv75Z4YOHUpgYCDNmzdnypQp9OnTh0GDBskvgpSyNDQ0NP7qGL788ssv1Y4aGv+tCMXSTy8vL2rXrk1gYCBCCEqVKkXz5s3lN+g1a9akVq1aNGvWTN5bVrt2bYKCgsCyJ8/X15dq1aoRGhpKt27dcHNzk9MoVaoUvr6+1KpVi4CAAMLDw6lVqxbh4eHUqVOHmjVr4uvrCwpjQxrEGCyfsalTpw7e3t5ERERQu3ZtkpOTEUIwYMAABg0ahKurK5GRkZQvX57ExER8fHyYMGEC3bt3l/P5VxlQ/lXR6/UUKVKEevXq4e/vD5ZPQYWHh9OoUSPKlSuHXq+nXLlyNGjQAA8PD4QQuLi4UKFCBRo3bkzbtm1lA+vy5cusXbuWESNGULZsWauBqs4yq+Pt7U2zZs3w8fGx0gVLW3Bzc6NWrVq0bNmSmjVrym0nODiY3377jStXrjBixAjc3Nys6rZYsWLyvj0ss4glSpSgRo0aVm3N29ubxo0bU7p0aat0JVn29vaEh4fTunVratSoQa1atahZsyaVK1fmypUr7Ny5k2HDhuHr6yvH0el0FCtWjNDQUGrUqIGDgwNBQUGEh4fTpk0bHB0dcXZ2plKlSjRu3BhHR0datGhB9erV5cGzk5MTlSpVomLFivTu3Rt/f3+cnZ2pVq0an332Ga1bt7bKr5+fH+Hh4Tx+/JgKFSrwzjvv0LJlS0JCQvD09KRatWpUrVoVvV6Ps7MzNWrUoEaNGgQFBREUFERBQQGRkZF89tlnVKpUicqVK8szkVI5VKlShXr16lGjRg1atmzJuHHjaNKkiXzP1qtXj8aNG8sGil6vJygoiDJlytCzZ0+qVKmCo6MjlStXZty4cfTo0QODwcDXX39NQEAAPXv2lNPDsje5SpUq8sqOJk2a8NFHHxEaGoper6dChQo0aNBAfo7Url2batWqERgYSM+ePeVTvAHKlCmDv78/9erVY8mSJbi5uTFgwADZX2c5iKp69epERkZSq1YtateuTe3atQkODsbLy4vw8HBCQkIQloO4GjRoQOPGjQkJCcHe3p7ixYtTv359SpQoAUDVqlWpXr06DRs2pFSpUhQrVoycnBwMBgNjx46lVatW8qyipMO/m5CQECIjIwkPDycyMpIPP/yQatWq4evrS82aNXn+/Dl+fn68/fbbNG3aVDbWK1euzA8//EDfvn3lPfqenp60aNECR0dHOd6QIUMoUaIEvr6+VKlShcqVK6PT6UhNTeWnn34iMjKSli1bWpWFwWAgKCiIOnXq4OHhIfs5ODjg7+9PZGQknp6eANSpU4eSJUsSExNDx44d6dKlCw0bNqRkyZKUK1eOiIgIfH19MRgMctwSJUrQsGFD/Pz8SEpKonnz5gwfPhxvb29at24tn/AcGBhInz595GeF1O7/CvWmoaGh8Tp0Qns9p/E3QuqgX9VRmy1LCQvzx8bbdclNki2hsxg2f2QJa2EUpqstHTT+HOqyVV+rUZa5rbBms5l33nkHe3t7Fi9ebNUmhOrTLBK25BRGXl4ederUYdSoUVYGi7KNKduflKbUprHRXv5MOyooKKBNmza0atWKCRMmFFoetvJUmH9hMmzxR8oTG+kXlp4tXufPK8Ko3dV6SOzfv5/333+f9evXExYWpvYulMLkKZF0QKHH8ePH6dOnD+vXryciIkIRunD+TJlRSBhb+trS76/G63SU8rVy5UomTJjA1q1bqVu3ruyHjXjKspDu13Xr1vHFF19w7Ngx+aWXFM5W+Uuo3dVpSahlmUyml/brFhbXFrbqU0NDQ+OvjGboavytUHb86oGEzsYhP6/6jWKQIA1c1EayMj0J5UDhVQMHpSxbctVx1bpr/DHUdaOu28LKVBkPS3iTycTJkycJCQmhaNGicjhlHQqLgaZMp7A0lAghyMnJ4caNG9SoUcNqj6RSF2Wbs5WOhDJ/ymvJzdZ1bm4uV65ckWds1WHFK9ql+rdaP+W1Og6F3A+Sv9JPGV+dB1vhJT91PGVcdXxlWGU66nSlOJKf9Jy4ceMGWVlZ1KlTx2Z4tRwJW2FRybZVFnFxcdy/f59GjRoVGl9ye1XaEsowr/ovhbUlQ0Kdzv8lrypPyc9WeUp88cUXxMXFvXSStq32JSHJ0Ol03L17F71eT8WKFWUjVKpHW+WpLFelvMLqXR1WjdlstjJ8lXGU+bTlpqGhofGfgGboavztsNWhC8UM0as69df5qeXaGnz8EZRh1XIltIHIP4e6Pv7ItfTf1uypVN9KP3V7sOX2R1CHF4p9d1L7ktyVekjhJH91OLXcV6EOq5at9pOupd+vQ9go11fFV/up82BLP2zEK8xdHU9JYUYlNspY2SakuMo4ttIpzN0WhYVV51+dntoYU2MrvuSulqXkdeXwuvj/lxSmg5QHbLQLpbtJ8c1gZb7+COp0pfqw5W9LtvJaCqtuW0o/XpMvKZxaf7WetuRqaGho/FWxve5LQ+NvhLpjfxXqwYCt/8owhQ04/gjiFQN1pb8yjFl1aqdG4Uh1Y1YdDlNYfUnXSgNS6ScUhppUD0rZyjYixZGuX1dn6nYnuallSH9Kw0ppPCrTEqq2KqGWpdZPeW0rvq08q39TSPmq01K6K/NrK13pt1CUuzq8Mlxh1yjStIVkTEg6oShLW3mwlU9spKuMp47zOmzJQlV2ymtU31IuDLUehcmS/Gzprw6Hqq7+najz9yrUeRNCWO3nVqLOvzodqUykQ7ykcpX+S7+lP6WfhFIf6XmjjKtMx1Y5K8Oo40io9VCmoaGhofGfgDajq/G3Qt3c/7c6bPXgRD1I+bMo49sakCj5Z9P6O/JHyuxVdVmYnzQ4VBoVhYVV+qOqX2Ucyc+Wmzrsq9IpDLU8pbstnV7129a1mlfFVboVppeEOr+vkitU9aK+Vs/CqrGlizoNW25SPCkttb/kp9Zbikch+beVZ8kdG22jMP9/Beo0lKj91Nf/Dl5Xxur6kPxtxVOirg91eFsy1SjjqOVJ/krUaSmxpYut3yh0l3iVrD/DPxpPQ0ND4x9FM3Q1NDQ0NDQsA3HxikOuNDQ0/jxqA1qn2lOu3W8aGhr/W2hPFw0NDQ2Nvz3SAFw9u6WhofGPY2srg/Jlkna/aWho/G+iGboaGhoaGn9rpJlcbbCtofGvxdZSZeW9ZstfQ0ND41+FZuhqaGhoaPyt0VlOzpV+a3sJNTT+NSjvI+m3Xq+Xly8D8unVGhoaGv9qtD26Gn9LhBBkZGQghMDDwwOz2UxKSgoeHh7Y29vL4RITE3F1dcXFxYXMzEyys7MBcHBwwNPTUyHx/2M2m0lPT8fNzQ07OzvZPSsri6ysLFAMpF1dXXF1dVXE/v+YTCbS0tJwcXHBycnJys9oNJKSkkKxYsWsTvzMy8sjJSUFAE9PT5ydnRWxNF5HTk4OGRkZ+Pr6ym65ubnk5ubi6ekptw83Nzd0Oh0FBQUv1V1OTg6pqamUKFHCajme9DsjI4OcnJyXluoZDAa8vb1fGuiZzWYSExMRQuDu7v5SerZISUnBYDDg4eEhu2VmZmJnZye3TVvfzSxatOhLJ8gKIUhKSsJkMuHk5GSzvdsiKSkJZ2dnWV9lGaSmpqLT6az0k9zt7Oxwc3Ozci8oKCAlJQWz2YyHh8dL7fpfZZBevHiR+Ph4mjdvjoODA8KytNJkMpGcnCwPyh0cHPDy8lJHB0s5m0yml/JmNptJTk7GZDLh5ub2Uh7VeTAajaSmpsqzXm5ublZlmZaWRn5+PlieJSaTiWLFisnPG6neihQpgqOjoyy3MEwmEy9evJDTw2KIeHt7y23Gw8NDbh+SfsWKFUOn05GVlUV+fr5VuWRlZWEymShSpIjspkad738XZrOZhIQEvLy8cHR0xGw2k5SUhKenp/yt6IKCAjIyMuR7IDU1FaPRCIC9vb3NNpGbm0t6errVM0UIQXp6Onl5eVZh1fef2WwmNTUVvV4vp6ksr+zsbHJycuRvdf9ZpOeZ0WjE3d39pTYp1XHRokX/of2zSl2l37Gxsfz+++/07duXGzduEBMTQ8uWLXF1df2n20JqaipxcXGEhIT8U3IKQ+ofJHQ63R++v/4MhZVDYe4aGhp/AKGh8TfEZDKJiRMnipEjRwohhIiPjxc1a9aUryXat28vli9fLoQQYtasWSI0NFRUr15d1KlTR3zwwQciKytLCCGE2WwWQghx8OBBERoaKn755Rcr9xUrVoiqVauK6tWrixo1aoiqVauKpUuXyulI5Ofni08++UTUqVNHbN++XQiFjISEBDFy5EhRp04d8fTpUzlOYmKieOedd0RwcLAIDAwUQ4cOFfn5+bK/UMjQeBmTySS++OILUaVKFfHbb7/J7rt37xbjx48XwlL2bdq0EYcOHRLHjx8XLVq0EOnp6QopQkyfPl10795dmM1mubyVv7/99lsRHBwsqlevLsLDw0WNGjVEtWrVRJs2bV6S9eLFC/Hpp5+K4OBgERQUJPr16yeSk5OtwqgpKCgQgwYNEu+//77slpubK7p27SoOHjwoNm/eLAIDA0XNmjVFeHi4qFmzpqhevbpo2LChVXuS4n333XeiSpUqolKlSqJZs2biwYMHQrymLe3Zs0dUrVpVjB07VhiNRiEs5SuEEA8fPhStW7cWrVq1eknWW2+9JVq0aCHi4+MV0oT48MMPRUhIiAgJCRHt27cXly5dkuOZTCZhMpleKm8l6mvJTdJJ8v/kk09ERESEePHihZX706dPRZMmTUT16tVFWFiYiIyMFB999JF4/vy5HE4KO3HiRFGrVi1x48YNKxnfffedCA0NFaGhoaJRo0Zi7969QkKpi8T169dFs2bNRFhYmAgLCxNt2rQRx48fF0IIkZWVJd59911RpUoV+VkSEhIiHj58KMffuHGjqFixotizZ48QKh1t8fDhQ9GgQQNRo0YNuU22bdtW5OTkiOXLl4uwsDCxefNmOfy5c+dEu3btRFZWlsjOzhZvv/22aNq0qbh7964cZuHCheLrr7+Wr9Wo6+3fSUZGhqhRo4Y4dOiQEEKIRYsWieDgYDFv3jw5zI0bN8TAgQNFQUGBSE1NFW+99ZaoUqWKCAsLE/Xr1xdr1qx5qR6/+eYbUbNmTbmtCyFETk6OGDVqlAgNDZXvv2rVqr10P5w7d06EhYWJoUOHynElv+TkZNGyZUvRpEkTERMTY+Uvlat0rS5f6XrWrFmiSpUqIiQkRLRo0UIcOHDAyn/8+PEiLCxMPHr0yMpdkqlMR+luKz3Jbf369cLR0VFkZ2eLzz//XAQHB4snT57I4dTx1PGVnD9/Xpw/f16+Xr16tTAYDC+Vo4T6Wom63myxceNGERYWJmrUqCHCwsJERESEOHXqlBAq2ep2batcbOmi1kFdvkpeV8caGhrWaIauxt8KZQcRFRUl2rZtK4QQIjY2VgDCYDCINWvWyOEDAgLE1KlThRBCjBgxQoSEhIgHDx6IZcuWiSJFiohBgwbJYc1ms+jfv7+wt7cXTZo0kQfNQggxdepUUb58eXHz5k1x9+5dcfv2bdlwkXTKysoS3bp1EyVLlhSOjo6ygS2EEA8ePBBlypQRFSpUEG5ublaDp/fee0+UKlVKHDt2TGzbtk0UKVJETJo0SfbXOsJXk5ubKzp06CAA0a1bN1FQUCCEEGLVqlWiR48eQlgMnjJlyogtW7aICxcuCIPBIHbt2iXLyM7OFgEBAeLTTz+V3dSDnOfPn4tbt26JW7duCW9vbzFx4kTx8OFDcf/+fTlNKeyBAwdEx44dxbZt28SPP/4oAPHhhx9ahVGTn58vmjZtKtq0aSO7paeni2LFionVq1eLnJwccevWLREbGyuCgoLEW2+9JWJjY8X9+/flFyOS7OvXr4uuXbuKFStWiOXLlwtHR0fRvn37lwZkaiZPniwAYWdnJxulEjNnzhSA0Ov14vDhw7L7/v37hbe3t3BxcRHr1q2T3bdt2yZ8fHzEypUrxfXr10X//v3Fpk2bhLBRtpKb8r+Swvyk/Hz55ZciMjJSpKamWvk/fPhQuLu7i5UrV4pbt26JcePGieLFi4vIyEiRkJAgh7tx44YoV66ccHFxETNmzJDdz507J0qVKiW+++47ce/ePTF69Gjx888/C6HQRV2mZ8+eFSVLlhSrVq0S165dE/Xq1RN+fn4iMTFRZGVliYiICNGlSxfx4MEDcfv2bXHnzh2Rl5cnhKUNdOzYUbi6uopGjRrJ7sJG3iXu3bsnHBwcxMyZM2WZ0dHRQgghxowZIwBRokQJkZaWJoQQ4tChQ6JChQoiMzNTJCcni4oVKwrA6gXLN998I9577z352qwy6NXX/05SU1OFnZ2d3LbeeustAYiyZcvKz/CzZ8+Khg0bivz8fJGcnCxq1qwphg4dKmJiYkSfPn2EnZ2d1cuAhIQEUbp0aQGIcePGye45OTmidevWomnTpiImJkauv9zcXCEUdbR9+3YBCEA2QiUWL14sAOHl5SWOHDli5ad8gaO+N6Trc+fOiZIlS4pp06aJe/fuicGDB4uZM2fKYZ8/fy4qVqwonJycxIQJE4RQGFdK+RLqepX+q9vbhg0bhKurq8jJyRGTJk0SISEhIi4uziqMLVm23KtXr27V3m7cuCHGjh0rt1EJdRtT6qWWaQvJfe7cucLd3V3s379f3L9/X9y9e9fqJbc6v8qyUspRp2MrnDKsrfqUfkt1oqGh8Wr+/JoUDY3/AnSWPXnKZZwGgwEfHx/mzp3LixcvALCzs5OXbun1etzc3AgICODtt9+mQ4cOXLx4kfT0dACePXvGpk2b+O677zhx4gR37tyxSs/V1ZXKlSsTGBhIUFAQ3t7ectpYlrr16tWLhQsX4uPjg8lkkuO7uLjwySefMHv2bKvPMcTGxrJ//36GDBlCgwYN6NixIy1btmTPnj3k5ubK8qU0NF5GZzlpNygoiK1bt7JhwwYrPwmDwYDZbKZatWrUrVuXn3/+Wfa7e/cujx8/pnHjxrKbEiEExYoVIzg4mODgYBwcHChZsiRly5alQoUKL31TtX79+qxfv56OHTsyYMAAIiIieP78uZU8NVI+lEvvdTqdvLzOycmJ4OBgypUrh6urK8WKFaNcuXJUqFABg8FgJTM4OJh169bx5ptv8tZbb9G3b1+ePn0q76krDJ1Oh6+vL5UqVWLJkiWye3Z2NsuWLaNr1654eHhYLYf87bffKFeuHO+99x5z586V3Q8fPoxer6dJkyaEhoayZMkSunbtKvvrdDqMRiMrVqxg4MCBdO3aleHDhxMfHw/Atm3bmD59Oj/88APdunVjxIgRPHz4UI4/c+ZMOnfuzNChQ7ly5Qr29vYvLQ+UyrRcuXIEBwczY8YM1q1bx8mTJ9m4caMc7tixY5jNZj777DN+/vlnCgoKADhz5gyJiYk0adKEihUrMmvWLIYNGyaXtVB8T1dyk55N5cuXp0qVKgwZMkRerizpV7x4cQICAggKCqJSpUryEttr165x7tw5vvzyS06dOkV0dLSczqvQ6/X4+/vLMsuXLw+WJa4+Pj7Y2dkxZ84cq/BYdLWzsyM4OJhff/2VW7dugSJfWJbsf/LJJ3Tp0oXx48fz9OlTuVz/CkjlrcxT+fLlyc/PZ9q0aVZhJJ11Oh0lSpTA39+fadOmUbZsWXbv3i3L3Lp1K35+fgwcOJATJ06QnJwMlnLR6XQUK1YMf39/q/pT1pHBYMDOzo5q1aqxYsUK2V0IwcKFCwkPD6dUqVLY29vz888/8+WXX5KXl4deryc2Npa3336bZ8+eYTKZmDNnDt27dycqKorr169z6dIlEhISaNOmDRUrVmTBggWMGTNGTn/ZsmX4+PgwZMgQ9uzZQ2ZmptxGlc+p+/fv8/7779O1a1fef/99uV7Pnz/P22+/Tbdu3RgwYIDcD+oU3+ZVP0cOHjxInz596NatG+PHj5e3OBiNRhYtWkTv3r3p06cPhw8fZv78+Vy7do3t27fTsWNHzp8/T35+PhkZGfLWhuPHj9OnTx969OjBwIEDZR127NjBxIkT2bJlC926dWPw4MFER0e/ti0KIXB0dKRChQpUqFCBwMBAXFxcOH78OGPGjGHevHl07NiRy5cvc+jQIUaNGkX37t3p378/d+7cQafTcfnyZT766COWLl0q5+fSpUtyu/v9999555136Nq1K9OnT6egoAC9Xs8vv/xC9+7d6d69OwsXLpTvHak9vu7e1tD4u6MZuhp/K6QOTRpYKgeXJpOJyZMnc/PmTX799VfZXRkmPT2dq1evsm/fPs6cOUPjxo3lfWhbtmyhYsWKtGvXjvDwcDZv3iynq9frSU1NZePGjaxfv56DBw/Ke7ykNDw9PenRowc+Pj7yQBmLrr6+vrz33ntW+/Cw7E1KTEwkNDRUDh8UFERiYqJsGL2uE/+7ohwgmEwmmjVrxoABA/jiiy/kQZ2y/oUQmEwmDAYDNWrU4NatWzx+/BiAH374gQYNGtCwYUNZphqpHtSDPGngqKwnJycn2XhJT08nNjaW4sWLwyvqU1he1jx58oSdO3eyadMmtm3bRlpamjyYUoaVXqQo8yrJlgbaWPZ/nz17llKlSr0kxxZFixalVatWHDx4UDY6jx49ik6no3HjxlYvcJKTk9m0aROTJk0iPDyc6OhoHj16BMDbb7+NTqeje/fuHD582OrFjcSzZ8/YsmULvr6+tG7dmq1btzJ58mQATp48yYcffsjGjRtp06YNO3fu5MsvvwRgw4YNfP7551SpUoWiRYty4MABqwNxlPe88loIQePGjalZsybHjx8HS9tZtWoVI0eOJDIykszMTC5cuABAhw4dCA4Opnfv3mzfvp309PSX6s9W/QshuH79OlevXuXQoUNUrVqVkiVLYjKZsLOz4/bt22zZsoX169dz7949Od6+ffsoVaoUUVFR1KxZk9WrV8t+haGzDJpPnDjB5s2b2bhxI0+ePAHL3tSqVasybNgwfv75Z+7fv//SuQEFBQX06tWLKlWqMHbsWFmmxIcffsj69evp2bMnBQUF8ssGZT3+O1HrYTKZqFSpEuPGjWPRokXcv39fNkSV7eLRo0fcunWLrVu3kpKSwltvvSXL27x5M+Hh4Xz00UecO3dONrSk+I8ePWLLli38+uuv3Lx586U2YTKZcHFxoV+/fqxfv56nT5+CxSBMT09n0KBBZGVlyS/fvv32W/leO3bsGHv27MHV1ZWJEyfy5ZdfUrduXfz8/Pj4449p3LgxwcHBdOvWja1bt1qdHZGXl8exY8eoUqUKgwYNIjk5mVOnToGlD5PaalpaGm+//Tbnzp2jffv2PHjwgL1793L16lX69OlDTk4OLVu25MqVK/To0YOUlBSrFwXSC2Z7e3suXbrEoEGD8PLyokOHDmzbto3Zs2cD8P333/Phhx9Sv359SpQowaJFi8jJyUFv+f6uq6srvr6+3Llzh2XLlqHX67lw4QK9evUiNzdXfhkdFRVFVlYWly5dYurUqUyePJlGjRpx4sQJhg8fzuvQ6/Xk5eVx9epVLl26xLVr1wCIjo7mhx9+4Oeff8bOzo6UlBQ2btxIXl4enTp14tKlSwwbNgwsL6WnT5/O999/T9OmTYmOjmbkyJHk5ORw/vx5oqKicHZ2pkmTJmzcuJH79++zePFiJk6cSK1atahduzaTJk1iz549YGlLUn1oaGi8AvUUr4bGfzPK5T/9+vUTHTp0EEKxdPns2bNi1KhRonz58iIzM1MEBwfLSxEnTJggAOHj4yPs7OxE9+7drZZK1a9fX15ONWXKFOHn5ycyMzOFEELMnj1bYFmKBojGjRsXuvTpzJkzokSJEmLx4sWybIm9e/cKJycnERsbK4QQ4siRIwKQ9zoJIcQXX3whKlWqJIfRlje9mvz8fNG6dWsxYsQIcfr0aVGsWDGxYsUKsWnTJtGzZ08hLEuXy5YtK9avXy+EZamch4eH2Llzp8jLyxM1a9YUY8aMEcJGfardTCaTKFGihPjpp59kv4yMDJGZmSkyMzNFdna2VfwPPvhAFC9eXFy9elUOb4v8/Hx5Cbb6T1oSLMWtWbOmGDVqlOyWlZUlsrKyRGZmpsjKyrJaTjdnzhzh5uYm9u3bZyXDFl9//bUICAgQZ86cEV5eXvI+9I4dO4oBAwaIPXv2CBcXF3H06FEhhBBbtmwR3t7e4u7duyIxMVEEBARYLaM8evSoaNmypXB0dBRdunSx2g4glaXRaJR1mjhxoihVqpQQlv29fn5+4vbt20JY7sGiRYuKpKQk0aVLF6sl3sOGDRMRERHy0mVJ3sOHD0WRIkVeWiLar18/ER4eLnJzc8Xly5dF0aJF5eXY9erVEyNGjJDDXrlyRfTu3Vs4ODiIRo0ayfsq1W1E4sKFC8LHx0e4urqKokWLCkDUr19fxMTEiOzsbNGkSROruv3++++FsNR/QECAmDZtmhBCiL59+4rw8HD5GWUrLSGEuH//vnB3d5flOTg4yOcDjBgxQjRs2FCkpaUJDw8P8eGHH4qjR4+KwMBAkZWVJVJSUkT58uXFnDlzxNq1a4W7u7s4fPiwmDFjhry/tGfPnqJy5cpWy8ILy/u/g9TUVOHg4CC2bNkihKVumzVrJh49eiQqVqwoxowZIy5duiQaNWokL12uW7eusLOzE97e3sJgMIgpU6bI8k6dOiWKFy8uDh48KHJyckSlSpXE4MGDhbBscejYsaNV/UlbY5Ts2LFDODs7i/Pnz4vKlSuLr776SghLnUp77suUKSNOnz4tYmNjhYuLi9i6dasQQojGjRuLiRMniufPn4vKlSuLiRMnynKlpcKXLl0SnTt3FnZ2dqJ58+byXtzLly8Le3t7cf36dSGEEOXLlxejR48WQlVnmzdvFq6urvL2hPT0dJGdnS3GjBkj/P39Lan9/2XSzs7OYuXKlWL37t3CxcVFXrocGhoq4uPjxdixY0WTJk3kZfZfffWVKFGihMjIyBABAQFi7NixcvqPHz8WJpNJBAUFWS1dXrNmjXBxcRFCCNGrVy/RokULeTn4iRMnBCAuXLggJk+eLLy9vcWVK1eEsPTTVatWFYmJibIsW8yfP18AokiRIsLNzU2EhYWJ+Ph4sXLlSgGIEydOyGGNRqP8/FyyZIlwdXUVWVlZYvPmzcLFxUXs379fCEXf/fDhQzF69GgRHBws6/z8+XORkJAg6tatK5e/sNRtt27d5Ou/0n2kofFX5fWv5zU0/ouQ3n6qZ2qUDB06lKysLObNmyfPqmGZ2QoLC+Pu3bt89NFHHDp0SF6SdvPmTWJjY4mLi2PLli08efKE5ORkDh06JMcNCgoiPj6exMREtm3bJi+zUutia3ZHqafSX9Lv7Nmzsr+0hE2akdPe+L4a6a14Xl4edevW5Y033mDGjBk8ffrU6iRUZTlWrlyZmjVrsnnzZk6dOsXDhw/p06ePHE76U9ap9F+qT8nPbDbz5ptvUr16dUJDQ/nxxx/l+Fu3bmX58uV8/vnnVK1a1aodqNsFltNBW7RoQVZWFsnJycTExODr6yuvHpBQzgTodDomTpxIlSpVCAsLY9y4cfKs6/Hjx5k8eTJjx46lVatWL8lQ50VnWRnh7+9Phw4dWL9+PZcuXeLGjRuMHTvWqkwA9uzZg5eXF4cOHeLQoUMUFBRw9OhRWd+GDRuyZ88edu3axZEjR3j33XfluDqdjvz8fDZv3kxQUBChoaHMmzdPXqot6VGqVCkAHB0dsbe3Jy8vj9TUVKsTgYsXL15oXWPjOXHx4kUCAwNxdHRk79696PV6Ll68yKZNm8jLy+PUqVPyKehhYWGsXr2aM2fO8PjxY3r37g2q+1jdHhwcHFi9ejXR0dFcvnyZ2NhYvv/+exwcHDAajfTt25f09HQSEhLkGaPbt2+TkJBAdHQ0mzZtonjx4ty6dYtLly7J6anTkjAajSxcuJDU1FSePn1KmzZt5LDS6cmzZs1i+fLlXLp0CTs7OysZOTk59O7dmyZNmvD999+TnZ0tpzd69Gh8fHwoU6YMw4YNIykp6aXy/Ssg5UcIQUFBASVLlmT8+PGsXbuWc+fO4eDgIOtdUFDA6NGjuX79OiEhIZw4cUJus/fu3eP58+fcuXOHbdu2ERYWxtatWykoKEBnec60b9+e1NRUEhISGDlypJyuWodKlSrRqFEj9u/fz61bt9i3bx+jR4+Wtxrk5+dTrlw5evXqxfTp03n27Bk3b96kRo0apKWlkZKSQoUKFeQ8SvdC9erV2bRpE5cuXSI2NlZ+dl24cAGj0ciBAwdYt24dwcHB7Nq1i4yMDKv2mpubi52dHZUqVQLA3d0dZ2dnUlJS5Bl/IQS1atWiRIkSZGRkWM3oYmmPBQUFJCUlce7cOapXr07lypWZP38+ZcuWJTc3F6PRKJ84rtPp8PPzA8s9on6mSbIfPnyIj4+P/BwIDAwkMDCQy5cvI4SgVKlShIWFgWWmVqmXVAfqe8RsOfV9zZo1nD59mrVr11K8eHGMRiOOjo5WS/1Pnz5NcHAwlStX5uOPP8bBwUFexePp6SmHtbe3l2fJMzIycHJyknX29fUlKyuL1NRUVq9eTUhICCEhIdy4cYMSJUrIemHjWaWhoWGNZuhq/C2ROjJlB4dlABMUFMSYMWNYsGABMTExVvt4HR0d8fT0ZPDgwXh5eTFz5kwA9u/fT2JiIr6+vmzfvh2dZe/ajh075DQdHR0pXrw4xYoVw8PDA53C6EHRYRkMBvSK/cPKjszR0dHqumjRopQqVUpeaohlv2iZMmUoXbo0FDKw1fifOpcGcNL1t99+S3JyMqtWrbL6RJQSnU7HkCFD2Lp1Kxs3bqRChQrUqFFD9s/Ly5MHtqjqQJ2ewWDgp59+Yvny5axatYqBAwcCsHv3bt5//30mTZokGzOSPGkZrxJJppOTEy4uLnh7e8ufoVIvOVZff/zxx6xYsYKVK1fy+eefY29vz/nz5xkwYAADBw6Ul/xK5ObmyoM39UBLavvvvfceR44cYenSpZQuXZqgoCA5jp2dHUlJSRw7dowyZcpw6dIlfvvtN+rVq8eePXuIjo5GCIHZbMZgMNC8eXPatGkjL8eXyu63335jyJAh/Pjjj2zYsIGuXbtafXqnoKBADiulLQ1upXAAaWlpVkuqJaS8Kfc9X79+ndjYWFq2bIkQgt27d+Pn58f9+/fZu3cvYWFhXLx4kXPnzoHF4Nbr9VSvXp2+ffsSHx8v502qR2UZCstzqXjx4nh4eFCtWjVKlChBZmYmZrMZnU6Hu7s77u7u+Pj4yIbF8uXLcXZ2Rq/Xy8aJm5sb+/fvl2Xn5+fL8tXPBOm5VLRo0Zf2eQO8+eabhIaGMmXKFKu2reSbb75h9+7dbN26VZYRERHBrl27WLFiBcuWLWPNmjXwF3wuqfNjNBoZPHgwgYGBTJs2jfz8fKv7xtXVlZIlS/LVV1+xa9cuzpw5A8Ds2bOJjIzk8uXLHDhwQP50z9q1a3FyckKn0+Hk5ISHhwc+Pj64uLjIdSLpIP3Oy8vjww8/5MqVK4wbN47Q0FBq1qwpb22Ryq9nz54kJiYSFRVF6dKlad++vdzulJ/Fyc/PJy8vT/arUqUK/fv35+HDh5jNZubNm0d4eDh37tzh4MGDeHh4kJiYyMmTJ2UZWPQzmUzysmcs95e0lFoK8/z5c9LT03FycpLdlXUutYFq1aqxevVqVq9eze7du1mzZg1ubm4vtQ/pHjUajS89wySkcpNIS0vjwYMHVKxYEWF5cSPJVbdBo9FY6HPNzs6OypUrExoaSkhIiBxGWW/Xrl2jd+/ejBs3jm3btjFs2DB5ry2q9IRqy4iUrprOnTuzYcMGVq5cyW+//cbEiRNBVY4aGhqFY/tJoaHxX4qyczCZTC91apL/22+/jcFgsBokSJ0kQJkyZWjTpg2//fYbd+7cYfbs2QwdOpS5c+eydOlSfv75Z4YMGcK6det4+vQp9vb2JCYmsmbNGtasWcPq1au5ceOGVWdaUFDA4cOH2bFjB+np6Rw7dowdO3aQk5NDdnY2GzduZP/+/eTn57NlyxaOHTtGxYoVady4MT///DOnTp1i8eLFnDx5Up410jrDwlGWvXLwU7x4cYYOHcqZM2deMpSUxlBgYCAGg4Gff/6ZwYMHy0ZxWloaffr0Yd26dXJYFHvchMXIkTCbzfj5+REZGUmDBg0oVqwYv//+Oz169KBs2bKULFmSNWvWsGXLFoQQ3Lx5k9q1axMbG2uVB7PZjLDMBElIaSndsAzolBQvXpwGDRoQGRlJiRIluHnzJp06dcLOzu7/sXfecVEdax//LcvSQVAQxILYewML1th7F3uLJvZuEo3G3hM1duy9i53YS2yICCqKomLBAgrS27L1ef94d+adPS7qvTf3Ju/N+X4++9lzpjzzzDNzppyZcw6qVauG/fv34+DBg8jMzER6ejpq1aqFiIgIKEwTJqaH0WiE0WiEVqtFtWrVULNmTaxevRp9+/aFUqnk15xSqcSJEycQHx+PnTt3Yv369di4cSOWLFkCOzs7BAcHY9q0aRg3bhyOHTuGtWvX4uzZs2Y3E2AauBtNqy2ZmZm4fv06v0HE7CFeAzqdDi4uLvjqq69w9+5dnDx5EkFBQQgODuarZCwuhEnn6dOnceTIESxZsgRNmzZF+/btMWDAAJw9exbXr1/HunXrsG7dOmzatAmrV6+Gr68vDh48iNWrV2Pw4ME4evQotm/fjl27dqFGjRpQKBTYunUrBg0aBLVazfVjaep0Opw6dQpHjhzB4sWL8eLFC9SqVYv7R0dH4+DBg9i3bx/27duHmJgYnDx5EsOHD0dQUBC2bt2KjRs3om/fvtiyZQsyMzOxfft2DBgwwKxNg2Cnixcv4uDBg9izZw+OHTvG/djP2toaI0aMQGJiIn9ZkLR+Va5cGYMGDcLdu3d5nThy5Ah+//13FC1aFC4uLtw9v4nKn4FYT1h+WZ4mT56M58+f4/379zzPBoOBtwUNGjTguwmioqLw6NEjzJw5Exs2bMDmzZuxdetWeHl54fDhw9z2z58/5+W3Z88e/kJDUQe9Xg+j0YjixYujdu3aOHXqFNq0aQNHR0fodDozndu0aQNra2v8/vvvaNeuHezt7VGhQgUEBARgw4YNCA0NxZ49e9CzZ09s2rQJX3/9Na+T69atQ5MmTfD777/jzZs3mD9/PoKCgrBx40asW7cOpUuXNnsRGQD4+/vDw8MDkydPRmRkJGbMmIHt27ejbdu2yMrKwu7du3Hv3j1MnjwZPj4+6NatG785pjBNkvV6PWxtbdG6dWs8fPgQr169gqurK9LT0xEWFgY7Ozs0atQIJ06cwPnz5xEcHIwRI0ZArVbD398foaGhOHfuHN69eweF6aaW0WjE4MGDcf36dWzZsgV37tzBvHnzULVqVdSpU8fsJhizM0w3suLi4tCuXTveron+7Fg8Z27i5DgvLw+5ubn85sW1a9d4WFZvWFhWxgqFAq1bt0ZiYiKCgoIQFhaGYcOGITk5Ga1bt0ZYWBjUajWcnZ0RGxuLhw8fcplMroyMTP78dXoaGZn/EGzwyt54C+Gto66urgAALy8v/hKIEiVKAAB8fX35nVwAGDx4MKytrREdHQ0HBwf06NGD+wHAqFGj4O7ujszMTP5G01WrVmH16tVYvnw57ty5w8MqFArk5ORg27ZtCAkJQa1atfDgwQOsXr0aSUlJSE9Px5IlS3DlyhXUr18fu3fvxqpVq6BWqzFr1ixUqFABgYGBmD59Or777jsMGTIEEDpBcUIk83+Q6a56iRIl+Ao4AAwbNgydOnVCuXLloDC9ybhSpUr8hVAAUL16dQQGBsLPzw+NGzfm7omJiYiKikJubi53g2lgw8rBx8cHRYoUASQTYFZeaWlpqFSpEpRKJZYsWYLly5dj48aNyMrKQkpKCqKjoz9a1bG2toavry+qVq3K07SxsUG5cuX4qhLDx8cHxYsX5+di2gCQmpoKHx8fFC5cGMuXL8fy5cuxZs0avHz5EhqNBjExMXyyzAb/AFCyZEmUK1cO1tbWcHZ2Rq9evVC1alU0bdoUAFCgQAFUqlQJBQoUQEpKCpo0aWKmR4kSJTBkyBDcu3cPbdu2xbVr19CjRw/89NNP6Nu3L+bNm8fTBIBWrVqhb9++6NKlC2bPno2SJUvyCWGxYsVQqlQpvr3f1dUVNWrUAACMGTMGVapUQb9+/bB69WqMHz8e5cqV41sHmXxbW1s0btwYFy5cwOLFi3Hq1CmMGTMGGzZsgEqlQnp6Ovz8/FClShXAZEdnZ2eMHTsWT58+Rd26dfHq1Sv07NkTY8aMQf369bFq1SoAQEREhNmbtFmarq6uqFOnDs6dO4eff/4ZR44cwdy5czFs2DDo9Xr4+/tDr9dj+fLlWLVqFVauXImnT58CADp37szlAUCPHj3g4uKCjIwMXLx4ES9fvvxoYOzg4ICmTZsiIiICy5cvx4oVK7Bjxw5otVp4eXmhdOnSXLeOHTti3Lhx8Pf3h5WVFWxsbFCmTBm+ndLKygpTp05Fs2bN4OPjA5i2eQ8dOhS9evVC06ZNzdrJv0K7pFQqUadOHd72ly5dGj4+PrzetG3bFt999x1q1qwJhUIBGxsblC1blm8DLly4MPr164fU1FScPXsWtWvXNusnFAoF+vXrh6ysLGRlZcHPzw8qlQrLly/HypUrsXLlSv6Wf0ahQoVQp04dKE0vhRs8eDCqVavGbVewYEGULl0abm5uPA5r89lNTgCYO3cuypQpg8DAQEybNg1NmzZF48aN+aMWY8aMQcuWLbFq1Sq8ePEClSpVQp06dXh8V1dX9O7dGzqdjk/siQhlypTB0qVLcevWLXTr1g0hISEoV64cevTogZkzZ2Lu3LkIDAzEkydPsHr1ahQoUABOTk7w8/ODwvQW85IlS0KpVKJ3796YMmUKpk+fzusXm/j/8ssvKFeuHAYNGoSffvoJpUqVgqOjIxYuXAgAGDp0KO7evQtPT08EBATAaDTi22+/xdixYzF79mx07twZcXFx2LNnD+zs7ODr64sKFSrwa8DX1xe+vr6ws7PD27dv+dZtSNrrggULonLlynBwcOA2AAAXFxfUqVOHu/v5+WHy5MmYPHkyRo4cCWtra9StWxcKhQIFChRA5cqVeVvs6OiI2rVrw9raGj169MDYsWOxYMECDB48GB8+fEDJkiUxZ84c1K1bl7+N+ddff/1op5f0epaRkTFHQfJVIvM3QqzubBufnZ0d9Ho9cnNz4eLiwsMoTHeeFaa3krK7+OKnILKzs2FjYwONRgNnZ+ePBm5ZWVmwtbWFtemZNpI8GykeszvGogwWnvmLnRsRwdraGgrTs4rJycmws7Mz+2yRmBepbjL/Z9/c3FwolUrY2tpyNzawYytPGo3G7Dk9henzFzqdzmz7YVBQEPbs2YPTp0/D2dmZp8PiEBFycnLg4OBgsVxYubE4oru1tTW+/vprqFQqbNiwgctjMtizc6y+sbxZWVnBzs6Oy8zJyeHPrLJ6pTDVMTbxZnVf9FcqlZgyZQqePn2KQ4cO8VVshsFggFarNXtOLzs7Gy4uLrx+azQaODo6mtlcRKvVwmAwwN7eHhqNBqmpqbCxsUHBggV5fsU8G41GvH//HgUKFODlp1KpYDAYoNPpYG9vDzKtkhIRL0ONRoOUlBQ4OzvDyckJeXl5XG+WDkx5Em3DBpow1QmD6Q25TCdmO5ZPrVaL1NRUKJVKFCpUCFZWVsjIyEDDhg0xa9YsPnkRy1w8ZnZnMDsyP4ZarTarU0yf7Oxs6PV6tGvXDkOGDME333wDCHUfpt0kov4szby8PChMn6hiYUnYUm40GqFWq2FjY8PrgkJoN5m81NRU6HQ6/qkipv9fYVWX1Q1r06fktFot9Ho9f4cCw2B64zVMn8uysbGBUqnk+c3OzoaDgwO0Wi0cHR3N7Gk0GpGbmwtnZ2ez8oPJXmwLK4tjNO2KsLGx4X2PRqOBvb0991er1bCzs+NxR44cibCwMFy9epW3OzDtYkhJSYGtrS2fGOt0OqSlpUFh+tSRwnQ9GI1Gfr2IZGZmokCBAmZuMLUjaWlpcHd359cOTLtacnJy4O7uzvtL1n/a2trCYDAgLy+P11eY+kr27HyBAgW4LQwGA5KSkmBvb89vRsDU9+bm5vJ2wWg0mm25T01NhVqthoeHB39Olkw7XmxtbXkZMD1mz56NyMhIHD582KyPh+n6YO08g8lidUUMn5ycDCsrK7i5ufF6YzS1faytMJpWg8W2Mj09HVqtFoULF+Z2AYAPHz5Ap9OhYMGCZuHFOiMjI2MZeaIrIyPhSzqOLwnDYJeYpfBfIudT8b+EL0lDxpxP2exTfjqdDrNnz0bz5s3RrFkzs7CfiidFGpadZ2dnY/r06Rg5ciRfmfhSmf8KLJ28vDzMmDEDvXr1gr+//0fps/Mvdf9H+Vfjfwl/lK6f4tSpUzh//jyWLVv20WTvj0qXhHYjNDQUmzdvxqZNm/ik+XPpiP6fCyvyJfHyc/8r8iX5+RT/TBwp+ckQ3cuWLYshQ4bgxx9/lAb7h7GUniU3KV8S5h/lczI/5y+SX1itVosRI0Zg+PDhqFu3Lsh0o4nd9LMU51/hS2R+SRgZGZnPI090ZWRkZP4gSFjtYk3rHzVYEZvqP0rml8IGXUZhdVfMnzwo+zKYzQym7zH/u23H0jOaVqP/XenI/DmwupOTk4OYmBiULFkS7u7u0mAyn0Fst9m5fK3IyPx3IE90ZWRkZP5A/ugJ4J85wYWQPsuLpUkuO5b5NPl1t3+07eQy+e/nj2hbZMwhYSVXRkbmvwP5apaRkZH5N8BWP/Ob3PwzsIHYHynzS5AO/tiElx3LfBmi3Syd/1Gweif+xOdCZf47ENuC/3Sb8N8Gsx/briwjI/PfgTzRlZGRkfk3wAahf8RERjqx/CNkfikK08tyxAG1OBCUB4X/GH+G7f6oeijz14HdzJC+3ErmX0O2pYzMfxfyRFfmb8cfdQdcKkcqLz/3T2EprCU3kc/54wvD/N2wZBP6F1ZMpXHYCqjU3RKWwjA3NkERw1gK/68g5ln6z2ATbHGiTZIJlDTO59w+52fJHxb8Pncs/WfHn5Nvyf9L3KTnIuINC4aY1qfifgksPqt//+yNEake/6x+0rz9s3L+3Uj1EXWVuls6Zuf55e9L3fPztwS7CWWpjD8VLz/yy7MlWNj89GZ8SqY0rhjO0vGnZFlCGt6SHHbM7Ce+ATs/pPHFf+nx586lekj5R9OSkZExR57oyvytEDsK6UBTPJZ2LpY6E0vxpeGk51LEtNjnD6T+n0KaD5l/HNHG0omc1F88F1dSxHKQlsfnBk0whWHlz8JakoMvKHOxTkndP4U0z5bSkNbR/PJsCTGe9JidS+0olcvCin5iHFEOcxfdxH+RhIQEPHnyBAaDwaK/CJMp6i21nfhvCTG8uIL0qTj4Qn+pXURbWOJTMqV+nzu35Papc6nffxpmG/GcweqYNIyItNyltmfHLL7ozmBpiHXVEkyOVEfRP79/MZ6lFUsStrZL9fsUlnRhspgfs2NaWhru3r0Lg8GAd+/eITo6mn+zVoo0DyKW7KrX66FWq83c2U96DViSyRDz/qmyF3WAYFNpOsxfTFeMI8pm8aTuUlkyMjL/GPLLqGT+Voidyc6dO5Gbm4tRo0YhLS0NM2fOhJ+fHwYPHszDz507F/Xr10eLFi1w7NgxnDp1CgBgb2+PgIAA9OzZ0+wTBPfv38eGDRvQqVMntG7dmrtfvnwZBw8eNOsQe/TogVatWpl1jAqFApcuXcLx48fRr18/1KlTBwCwdOlSPH78mN9ttra2hpOTE6ZPn46srCysX78eCQkJsLW1xejRo1G5cmWzTlbmY5i9AeDAgQO4efMmpkyZgiJFigAAwsPD8fDhQ3z99dfIzMzE0qVLERgYCCsrK+zbtw8//fST2bcjL1++jAsXLmDevHmAYHf2v3//fpw7d45/V1mv18NgMMDNzQ2zZs0y+xYrABw5cgSnTp2C0WhE3bp1MXToUP42Z0svSzEajVizZg1UKhVGjhwJmD6bsWzZMrRv3x5ZWVnYvHkzbGxsYGNjw79r6ezsjGnTpvHvLzPOnDmDo0ePQqvVomLFihgzZgwcHBxgNL3B1xL37t3D5s2bUbduXfTv39+sXqempmLVqlUwGo0YO3YsPDw8uN+yZcuQkZGByZMnm31D8+DBgzh37hysrKxQvHhxjBo1CoUKFTKr2+I1zc6Zn+guhmcw9+nTp+PSpUs4ffo0XF1ducy0tDT8/PPPSEtLg9H0jdEOHTqgWbNmH71Ze8eOHbh79y6+++47FCtWjNvp3LlzOHz4MIxGIwoWLIjhw4ejVKlSgIWBvEKhwOvXrxEUFIS0tDQYDAYUL14c3377LYoUKYK8vDxs3LgRMTExZm3JggUL4OHhAQC4desWNm/ejOHDh8Pf3/+j/EtJSkrCzz//jJycHJBpkuLh4YGZM2fi2rVrOHr0KIYNG4bq1asDAJ4+fYr9+/fjhx9+gFKpxPr165GUlIQpU6bAyckJAHD+/HmkpKSgd+/eH6XPbCvW9T+TvLw8TJkyBUOGDEH16tVx8eJFHDx4EMOGDYOfnx8A4PXr1zh69CjGjBkDjUaDoKAgPH36FEQEV1dXDBo0CJUrVwaEduXYsWO4cuUKZs6cafb92i1btuDevXu87IkIc+fOhZeXF48bGxuLFStWoHr16hg2bJhZPcvKysLPP/8MvV6PCRMmwNPTk8th8ZldRTfR79KlSzh48CAMBgM8PDwwfPhw+Pj48DC7du1CeHg45s6dy3WXwuq3mAaDpSeeHz58GP369UNqaiqWLFmCAwcO4MKFCyhWrJhZ/phs8VyUpzC9ZVqv1/Nv+54/fx5Lly7Fnj174O7ubtZGiXaGacWWyRf77k9x/fp17Nu3j98Is7Ozw/Dhw1GpUiUzvaR5hvCuBtFNGk7Mb35h8kuH8ukPZGRk/hf56pD5WyF2aGfPnsWJEycA08fn16xZgwkTJuD27ds8zJYtW/j5xYsXcezYMRQtWhRv377Ft99+ixUrVvCwALB9+3asW7cO69atg1qt5undunUL+/fvh7u7OwoWLIhChQrB1tbWLK7RaMSvv/6K/v37Y82aNXjw4AH3c3Z2hpubG9zd3VG4cGFERERg9+7dMBgMWLVqFc6fPw93d3ccP34c3bt3R2ZmJu80xU5R5mP0ej327t2LlStXYtGiRdz96dOnOH36NIgI2dnZ2LZtG549e4aUlBQsWLAAUVFRPCz7fu6LFy9gZWXFB1AiDg4OcHV1haenJ7Zv347Y2Fh4enqiYMGCHw20zp07h9mzZ0Oj0SAxMREjRozAtm3bzAZCUgwGA44cOYIjR45wt7y8PKxYsQJPnjyBnZ0dChUqBC8vL+zbtw/37t2Dp6cn3NzcPhoUPnr0CHPmzEFqairS09MxZcoUPoH/1KDq3LlzWLt2LcaNG4e4uLiP/ObMmYPFixfj8ePHgOl6vHXrFpYsWYJ58+YhLCyMu4eGhmLcuHHIyspCgQIFcOLECVy+fBmwMHiFsOVQ/EndxXiiHZVKJZRK5Ud5y8zMxJo1a5CVlQUPDw+EhYWhd+/e+P7775GXl8flvnz5EosWLcLKlStx5swZwJRubGwsRo8ejdevX8PT0xNXr17FyZMngXwmuQCQmJiILVu2ICsrC56entiwYQN69OgBtVoNvV6PAwcO4OrVqyhcuDAKFiwINzc3s7ysXr0amzdvxrx582AwGCzWRZH09HSsWrUKSUlJcHd3h5ubG1xdXWFra4vTp09j3bp1mDhxIl99e/PmDXbs2AGDwcDbzfnz52Pr1q1c5s2bN3lZifZnWCq/PwutVos1a9YgNjYWALBv3z5s3LgREyZMgF6vBwC8e/cOwcHBMBqNUKvV2Lt3L+7cuYMiRYrg5MmTaNmyJe7cuQOYyjEjIwOTJk3CihUrsHbtWp6WXq/HsWPHcPr0aV5+7u7uvN4xGz1+/Jjb/ebNm2a2u337NubPn4+goCCuM4vLbC26sR/ze/LkCUaMGIHY2FgULlwY58+fR3BwMA+fk5ODOXPmYM2aNdi0aROXJUXUWUxX/BfL3Wg0QqVSwcrKCkqlkh+LYS3JlsojInTv3h2rVq3i4dmNQ3bjUbyORT2YLCtTG83886uHzD0qKgrr168HEfFrxMbGBrCgO3MTj6XtjRiH+UnlsGPxXyFMikU3GRmZT0AyMn8jjEYj/+/fvz+1b9+eiIhevnxJSqWSlEol9erVi7RaLRERlStXjn755RciIho3bhzVqVOHy+rbty/VrVuXcnJyiIgoLS2NfH19aezYseTg4EB3797lYZcsWULVqlXj5yJMp/j4eJo2bRotW7aMvL29adu2bWb+IlWrVqVJkyYREdHDhw+5DsHBwaRUKikhIYGHtRRf5v/sotFoqHPnzuTs7Exubm50+/ZtIiLau3cvBQYGktFopHfv3lHJkiXpyJEjlJSURL6+vjRkyBAu68mTJ2RlZUVnz57lsg0GAxmNRov2L1KkCK1evZqfi+GJiN68ecPLMCMjg6pWrcrTsySPiEin01Hz5s2pY8eO3C0rK4u8vb1p165dZmH9/Px4/WGI6WdkZNDbt2+5e/v27cnf35/0er1ZHCkLFy4kV1dXKlmyJM2fP5+7GwwGatq0KdWpU4dcXFzo6tWr3G/lypVUunRpCgwMpP79+3P3iRMnko+PD6WlpRGZdMrKyuL+jLi4OAoKCqLx48fT7t27SafTERFRVFQUHTt2jKKiouj777+nXbt2mekfGhpKkydPpg0bNtD3339PDRs2pIyMDCKTvkREr1+/JhcXF7p+/TqPt2bNGlIoFLR3717uduzYMfLy8qLhw4dTgwYNePwNGzaQi4sLxcbGEhFRTk4OpaenE5nKUawf7P/27dtUrFgxunHjBhERbd26lRwdHent27eUk5NDAQEB9O2335pSNufp06dUqVIlGj9+PDk6OlJKSgqRpGylxMbGkp2dHR05ckTqRRMnTiSlUknOzs68Dl2+fJnKli1LmZmZlJKSQhUqVCBnZ2cqV64cxcfHExHR/PnzacSIEVzOyZMnacKECXTw4EHetuanz3+ajIwMsrGx4fkfMmQIOTg4kIuLC23ZsoWIiMLDw6lRo0ak1WopJSWF/P39afbs2URE9OrVKypVqhSNHTuWy7x48SLVrFmTGjVqRN26deP1ITc3l1q3bk09e/bkYRliXQgJCSGFQkG+vr70448/cn8iotatW5OPjw+VKVOGbty4Qfv27aOjR49yOcnJybRs2TJKSkoiIqK7d+/S1KlTadmyZaTT6WjTpk1kZ2dHL168IDK1EewaIyLavXs31a1blzp06EANGjTg7pY4cuQIjR8/nvbv38+vrZycHFq9ejVNmDCBNmzYQGq1moiIDh06RI6OjqRWq2nu3LlUuXJl3sYkJibSggULaOLEiRQcHGxWN16+fEkzZ86kefPmUWpqKoWEhJCDgwPVqFGDpk6dSs+ePaPY2Fj65Zdf+LWfmppKP//8M02cOJGCgoIoNzeXyNQmbNu2jV69ekVTp06lLVu2UF5eHk9LCtNj7dq15O7uTs+fPzfzf/bsGe3Zs4ciIyPpu+++o/j4eMrKyqIDBw7Q+PHjad26dTzthIQE2r17Nz19+pRmzJhBy5cv5+0NEVF2djatXr2aJk2aZNbeREVF0bRp02jatGkUFRVFJBnH/FWuIxmZvyr535qXkfkvRLz7SZItPwaDATNmzEBwcDB+++037i7C7qamp6fjyZMnKFWqFBwcHAAA9+/fh1KpRJ8+fVCgQAHExMTweAqFAtnZ2bh16xbCwsLw/PlzMz8igqenJxYsWIBGjRrBKDz/yfzZ3eWDBw8iKyuLb7GuVKkS14GFl97lze+Otcz/2kuv16Ndu3bw8fHB999/D0jutDPYVr+WLVviwYMHMBgMAIBt27ahWrVqqFmzJpcpvSPPypBtfxPLRCFZFSlWrBjfQm1lZQVbW1uoVCoeXozLjtl/amoq7t+/j9u3byMyMhJ5eXm8nrMwYv1i7mL6zs7OKFq0KGBK39XVFUqlkofPD4PBAG9vb7Ru3RqHDh1CdnY2YNrREBMTg5YtW5rJ0Wq1OHXqFCZOnAh/f3/cvHmTrxw2a9YMSUlJWLp0Kd6/fw8XFxe+NZbl49mzZ+jTpw927dqFGzduYPTo0XwFLTg4GIMGDULv3r1x/fp1fP3115gzZw4A4OrVq+jSpQtCQkL4LgyxnEV7KRQKs2cJR48ejYoVKyI6Opq7nTp1Cr1790azZs1w//59pKSkAAD8/f2hUqmwaNEixMXFwcHBgW/NZrDrW1pP2Gri06dP4erqyq9xhUKBpKQkREZGIjw8nKcF00p8Xl4eunbtChcXF/6ohbQei7C69+jRI9y5cwf37t2DRqMBTDsVGjVqhA4dOmDu3LlITk6GtbU1IKzUGo1GDBw4ELm5uViwYIGZHwDMnj0b33zzDcLDw7F69WpERkYKqf/5SO2i0WjQoEEDNG3aFAsWLMD79++hUqm4DVl5sevn2bNnSE9PR6NGjbiMAwcOoEKFCvjuu+9w4cIFvjuH2fr9+/e4e/cubt68iaSkJB6P6WI0GuHi4oJhw4YhKCgI6enpUCgUCAsLw7Nnz9CxY0coFAoolUq8evUKEyZM4HLu37+PqVOnQqfTISgoCO3bt8f58+exd+9edO3aFVWqVIGzszMWL16MV69ewcnJCa6urlyH0NBQFCpUCP369cPbt2/N6jnDYDCgT58+GDFiBCIiIjBz5kxs27YN6enpaN26NVasWIHw8HBMnToVAwYMAEy7JqTtlkqlQmJiIrp27Yrdu3fj1q1bGD9+PN8dsG/fPvj5+SEkJATHjh3DN998g4iICKjVaiQkJODUqVOIj49HVFQUpk+fDiLCq1ev0L59e2zZsgW3bt3CpEmTMGHCBADAiRMnMHz4cAQGBuLSpUv44YcfMHToUK4T00v8F93FNhMmWw0YMABdu3bF1atXcf/+fQwZMgQrVqzArVu3MGvWLEycOBEAEBkZiWHDhqFt27a4fPkyZsyYgVGjRkGv1yMuLg5169bFqlWrEBYWhoEDB+Lhw4eIiopC165dcfbsWZw9exY9evTA3bt3eR2EhforIyNjjjzRlflbwjoHaWfRuHFjtGvXjm9hFSfCKpUKT548Qf/+/dGyZUsAwPz587n/ypUrUb16dQQEBGDw4MF8UA0Atra2ePHiBRo1aoSAgAAMHToUOTk5gPAMj3QywhB11Ov12L9/P2rUqIGqVaua+Wu1WqxduxblypWDs7OzmZ/Mx7AyVygUMBgM8PLywowZM3D79m2cO3fO7Plb6eC2e/fuePz4Mc6fPw8AiIiIQOnSpflzkmyywn5MhljvxGMml0wTYQg3Vc6fP4+IiAg0bdoUDFGuiJ2dHW7cuIHatWujQYMGaNmyJVJTU/nkUsyziChL1AWmSeq+ffvQtWtXs0mqNH8wydVoNOjQoQPevHnDJ1obN25EzZo1ERAQAI1Gw+M8evQIFy9eRP369dGnTx8YjUYcPHgQANChQwcsWLAAK1asQL169fjWQREPDw8sWbIE169fx+3bt9G3b1/s3LkTMF0PeXl5WLx4MUJDQzFy5Ehs2rQJubm52L17Nzw9PREeHo5r166hU6dOfGIJyTXHrk+RWrVq4fTp08jNzcWHDx9w6NAhNGzYEJ07d0aZMmWwbt06Hm7NmjU4efIkateujQULFiA3N9dMnjRPSqUSer0eM2bMQJcuXbB48WLUqVMHLi4uMBgMsLGxwfHjxxEQEIC6detiz549PO7atWvRvHlzNGnSBI0aNcK2bdt4XZOWFYNMNzlmz56NOnXqoGHDhrxeszg//fQTnj9/juDg4I/qgMFgQPny5TFq1CgcOHAAz58/Nwtz584dVK5cGTdu3MDVq1dRt25ds/h/NmJZi//z589HYmIiDh06ZDZxNxqNUCqV2L9/P3r27IlBgwahV69e6NGjB2Da2n39+nU0atQIrVu3hpubG86ePcvTsra2xtWrV1GnTh3Ur18fmzdvNkuXHRsMBlSrVg22tra8Th87dgzOzs7o1KkT1Go1jEYjevbsiYSEBL51evPmzejWrRsAICgoCI0bN0ZERASuXbuGkSNHol69evj5559x6NAh1KlTB4sWLUJeXh4A4NWrVzh27BiGDh2K3r17Q6FQICQkhOvFOH/+PI4dO4Zly5bh+vXrOH36NBo3bow1a9bg8ePHuHLlCm7cuIEdO3bg4sWLuHDhAmxsbMzaPJjyuWXLFmi1Wty8eRM3btzAN998g/nz5yM7Oxtz585F48aNcevWLYSHh2P06NGYMmUKypYtix49eiAqKgqNGzeGRqOBSqWCSqXC6tWrkZqaikuXLuHGjRsICgrCxo0bERsbC6VSCYPBgBEjRuDWrVsYPnw4oqKikJaWJsnh/8L0VSqVSE9Px4gRI9CxY0cMGTKExzEajVi8eDFu3bqFpk2bYuzYsbh8+TJu3ryJGTNm4NixY9BqtTAYDMjNzcWECRNw7do1rFq1Cnv27EFCQgI2btyIlJQUnDp1Cjdu3MCuXbtQoEABTJkyBV999RUiIiIQERGBokWL8selFMJNFxkZmfyRJ7oyMgKurq747rvv8PLlS5w4cQIqlYp3JEajEYULF0aPHj3g6OgIpVIJLy8vAMCLFy9w9+5dODs78xeNvH79GufOnQNMKyM+Pj44ceIETp06hV9++cXseSJpZyUdWDP/8PBwHD9+HKNHj+burLObN28e7t69i6CgIDg6On4kUyZ/iAh5eXno1q0bGjRogJUrVyIjI4MP2KWD4caNG6NgwYK4efMmIiIicP/+fYwZM+ajsNJyFGHh9Ho9+vfvj0aNGqF+/foICgoChGc8x48fj5EjR6J79+5m8S0NcnQ6Hfz9/XHmzBmEhITg0KFDKFCgAJ8858esWbPQoEED1K9fH99//z10Oh0UCgVSUlIwYsQIdOrUiecPwgRIPGfo9Xr4+fmhatWqOHXqFJ4+fYobN25g+PDhZs+1wfRMe+nSpfH27Vu8fv0aer0eJ06c4JPtCRMm4OHDh2jfvj0mTpxo9ky80WhEgQIFUKhQIYwePRpfffUVzpw5g9TUVMC06lSzZk189dVXAICqVatCoVAgPT0dL1++RPny5eHi4gKlUony5cub3dQSUQjPxbF8xsfHo3jx4nBwcMD+/ftha2sLtVqNBw8eQKlU4vTp08jMzAQA9O7dG9HR0RgzZgwWLFiAadOmmcmWQqaJZ6tWrTB8+HAsW7YMYWFhWLt2Lezs7KDX69G6dWv89ttvOHXqFLp27QqYnusMCwtDoUKFcOfOHXh7eyMiIgK3bt3issX0xHpqNBoxZcoUnDlzBsePH0f9+vUBUx00GAyoVKkSJk+ejBUrVuDVq1ewtrbmbY/RaIRWq+UvGPv555/N0urcuTPu3buHevXq4ejRo3xSZSnvfwWICDqdDmXLlsWECROwdOlSxMbGmk12AaBGjRqoXbs2cnJy4O7uzv2uX7+OmJgYeHp64tatW6hZsyZWr17Ny1Wv16N+/fr8Gu3Tpw9Pl9UzmFaW69evj7p16+LkyZN4//49duzYgRkzZvBJo9FohK+vL9q1a4d169YhJSUFZ86cQadOnZCTk4P379/z+m9vb4927dqBiDB48GA8fPgQw4cPx7x58zB9+nSue0JCAvR6PUJDQ1GuXDns3bsXWVlZXEeYdo2oVCp06dIFAFCqVCmUK1cOcXFxcHd357tBWrRoATs7Ozx79gxKpZLbSGG6savVavHs2TPExcUhMDAQLVu2xK5du2AwPf+dnZ2N6tWrw9raGgqFAs2aNYOtre1H7R4E3W7evIlatWrB29sbANC8eXMUKlQIDx8+hF6vR/ny5fluKHb9i+2jwsIztczdw8MDnp6e8PLygpOTE4xGI6ytrflNSFtbWxQtWhQ//vgjvvrqK6xfvx5arRZarRZGoxFeXl5o06YNAKBy5cq8f0lKSkKRIkVQpkwZEBHq168PMo0hrly5glatWqFVq1YIDw/n1w9ZeAmYjIzMx1ju2WVk/qbk5eWhcePG6Nq1K5YsWYKkpCS+Vc9oNKJQoULo0qULVq5ciefPn2PDhg2A6Y27L1++xPXr1xEYGIjg4GCo1Wo+0dXr9XBxcUGbNm3Qtm1b1K5dm2/lYoMb1mGxAZW4wsv8Vq5cCX9/f/42ZgZ7Ac2+ffvQuHFj3gmKSM9l/hdmF1YO8+fPx++//46zZ8+arUyJ2NnZYeTIkTh58iTOnj0LNzc3PjlQWHixyKdQKpXo168fBg8ejMGDB6NBgwaA6QU4PXv2RLNmzbB8+XJeD8W6IU1Dr9fDy8sLTZs2RatWrdC8eXM4Ojp+FA6S+tCmTRsMGjQIgwYNQpcuXWBjY4O0tDT07NkT3t7e2Lp1KxwdHXl4pgOTweSzemdjY4MRI0Zg//79OHToEPLy8tCqVSsYDAYYTW9E1ev1uHbtGhITEzFp0iQMGjQIBoMBly5dwuvXr7lcHx8frF27Fi1btuSrvSz9iIgItG3bFq6urhg5ciSqV6/OV2aleRa3H4sTCvHcUn5g2s3B3JOTkxEZGYnWrVsDppdspaenY+7cuejduzeSkpJw//59sy2fhQsXxqxZszBs2DAcPnzYbFVXqidMdaJ58+Zo27YtJk2ahGLFivEti2xy07JlS7Rt2xbFixcHAJw8eRJqtRoHDhxAr169EBISgszMTLMXfMGUV7FNYWXm5+eHFi1aoHnz5vwN3CwsTDcdbG1t8csvv/BJi2g3JycnzJkzB5s3b0Z4eDivr0OHDsWZM2dQv3599O7dm7+M66+KmC+W56CgILOXBxoMBlSuXBnff/895syZg6VLl+LZs2cAgMOHD8PBwQFTpkzB0KFDcefOHWRlZeHixYtQqVQwGo0oUqQImjdvjvbt28PX15fbWGzzYbL/mDFjEBkZifnz58PV1RX16tXjEzNW19u3b48nT55g1qxZ8PLyQvPmzaHX680mlwx2XqRIEcydOxdjxozBnj17kJeXh71798LR0RE//fQTBg8ejMePH/OfGJcdS/sU6Q01rVYLEh6LEOsL++l0OpQsWRIDBw5E3759MWvWLGzduhUuLi48LCTXpMFgMGubRV3EOsvOtVqtxZdHSe3O3Jg8pq/RdFNtwYIF2Lx5MxYuXMjLUtTjzZs36NKlC7KysjBq1Cg0bdoUBoOBpyfaT9xBAgv5NBqNMBgMqFWrFn8EY8OGDZgyZYpZOGkZyMjImCNPdGX+1kgHuOx/3LhxiIqKQmJi4kcdDwBUr14dDRs2xI4dO5CQkICgoCA0a9YMd+7cQWRkJB49eoRu3brh7NmzyM3NhUqlQlZWFiIjI3H37l1ERkbi3bt3UEgmDPHx8Xj06BE0Gg1evnxptpIQGxuLixcvIjAwkA8CFAoFtm3bhh9++AGjRo2Cr68v7t69i6SkJLPOW+zcZSzDyqB27dro378/Dhw4YFYv2I/RoEEDPHnyBEFBQRgxYgQfSKnVaqxatQqhoaGftLk4yGrfvj2GDh2K4cOHo2bNmoiPj0ebNm1gNBrx7bffIjY2lr/l+e3bt5g2bRo+fPjwkTypjmywJh0MsXrPaNCgAYYNG4bhw4ejUaNGSEtLQ2BgIOLi4jBhwgQkJCTw9LOzszF16lQ8e/bso4E5g4hQp04deHl5Yfbs2Rg6dCjs7e354M7W1hbHjh3D06dPceTIET4xPHbsGNLS0nDt2jUcOHAABw8exMOHD3Hz5k28fPnSbGs4TFufk5KSMHHiRPTo0QMG4Tu40jzCNLh0cHBAmTJl8OjRI7x58waRkZHYt28fjMIWZbHcASAmJgYPHz7E5cuXMWTIEJQoUQJt27ZFWFgYzp07h6CgINy/fx9RUVG4du0abG1tceHCBZw7dw5bt25FdHQ07ty5g+joaBQqVAgODg64evUq1qxZA61Wa1ZPyDSQf/jwIR4+fIiLFy8iISEBhQoV4mHev3+PBw8e4M6dO7hz5w4SEhIQHByMzp074/Hjx4iMjMSdO3fQu3dv7N69G3l5eQgNDcW6deug0Wj4QJ5hNBrx9OlTMz2ZLuzn7e2Nfv364c6dO0hKSjKbRDFZ7dq1Q4sWLXD48GFeN6KiouDh4YEZM2agcOHCiI+P5+n+VRCvG1Zv9Ho93N3dMW7cOFy8eBFxcXG8LSbhGepWrVrBxcUFK1euRHx8PI4cOYIVK1bg4cOHuHPnDt9yGhwcDIPpLdjJycmIjo7mfUGe6Q3eYp1l9SAgIABOTk5Yu3YtWrVqBW9vb+j1erPy69WrF4gI69atQ+3ateHp6YnixYvD19cXhw8fRk5ODmJiYrB06VKcOXMGO3bswMOHD3Hv3j1ERUWhZMmSePjwIcLCwrBo0SLud/HiRZQpUwa7d+/maQGAr68v7OzssGnTJqjVavz222+4du0aypYti7S0NDx58gR6vR7bt2+HjY0N6tevb1bvyNQu2djYoEKFCoiLi0NAQAC+/vprtG/fHp6ennBwcEDp0qURGRmJlJQUxMbGYuvWrdBqtShatChevnyJlJQU6PV6s3pYv359REZG4vbt29DpdDh69ChsbW3h7+/Pb7SJZU1EUCqVSElJwZIlS/Dy5UueT2n7LW1TWD4Yz549w+PHjzFo0CD07NmTlyFLT6xn7NjKygqVK1dGSkoKwsPDkZWVhV27diEzMxPe3t5ITU1FYGAghgwZgnr16vHHkpgMGRmZTyNPdGX+tqhUKn6Xng3K2CpE5cqVMX78eCiVSh7G1tYW9vb2PP7AgQPx/v17REVF4fnz5/jmm2/g7OwMFxcXqFQqzJ49G9HR0YiLi4OLiwtSU1PRv39/9OnTB7179+bPL7LOLj09HePHj8dPP/0EIsKWLVswcOBAvHjxAgCwc+dOODs7o1evXlyH5ORkbN26FU5OTnyg261bN/6MICx01jLmKBQK/nwXY+LEiShRooTZKoCDg4NZmLp166JZs2ZISEhAjRo1uHt8fDxWrVqFu3fvcjcpNjY2ZitE4uAHptW56OhoZGdnY/jw4ejWrRtGjhyJjIwMvHnzBosWLeJbdBkKhQJ2dnZmcpmbdEJia2vLw7EBlzgIu3r1Kq5fvw4iwsSJE9GtWzcMHDgQ9+7dg1qtxpIlS/Du3TueBpNvY2MDOzs76HQ6lCpVCs2bN4etrS3frseuJyLC06dPUbx4cTRo0AD29vaws7NDjRo10LVrV+zYsQPR0dHo168fWrZsifbt20On02Hu3Lk8TQBo3bo1/Pz80L59e3Tu3BkXL17k3/1kZcrCKpVKODg4wMrKCtOmTUNGRgaaN2+OwMBAVK9e3WwiyVAqlXB3d8f8+fPRo0cP9O/fHy9fvsSOHTvg6+uLFy9ewNnZGW3btoWdnR0cHR1RokQJDBs2DPv27UNsbCxGjBiB1q1bo3Xr1oiJieFbew8fPow9e/aYrTTDpLe9vT3mzp2LwMBA9OnTB61ateIvGHJ1dcX169fRs2dP9O3bF/369cPNmzfx4MEDDB48GDY2NnBxcYGzszP69u2LJ0+e4N27d9iwYQO2bt0KtVoNCDa0srJCoUKFEBQUxNMbO3YsdDodbG1tYWdnxwfzw4cPR8uWLXmdUigUsLGx4ataTk5OmD9/Ptzd3Xn9WrFiBVq1aoXOnTvDxcWFb/Okv9C2S2dnZ35t29jYmF3nQ4YMQZs2bcyeMbUVXg5Xvnx5tG/fHtHR0Th06BCKFi2KevXqwcbGBs7OzvDw8ECLFi0QFhaGd+/ewc3NDQ8ePOC27tOnj9m1BFM/5OTkBDKtlPfv3x8ODg687VcqlWZ2d3Fx4dtd+/fvD5jKYtq0abh79y7fHfD06VO8f/8eI0aMQKtWrdCyZUvcu3cPS5YsQXh4OAoUKIAOHTpApVLxG0KtWrVCRESE2YQuICAAPXr0wPTp09G6dWv069cPCQkJGDt2LGrXro3WrVujY8eOmDlzJmbPno0qVarAaDTC0dERVlZW3MZEhHHjxqFOnTro2LEjevXqhfbt22PhwoWA6UVmly9fRosWLdChQwccP34cdnZ2mDRpEk6fPo3WrVvjxIkTcHBwgIuLC/R6PX766SeUK1cOPXv2ROvWrbFo0SKsWrUKhQsXhrW1Nezt7bmdWXupMr1/Y/HixXjz5g0gadesra1ha2v70Y09KysrODs783B+fn5o06YNhg4diu7du2PPnj0oVKgQrEyfM7Kzs+NlZmVlBScnJ+j1eowYMQLe3t7o3r07OnTogOnTp8PV1RW//vorXrx4gRYtWqB79+5o164djh49CgbTR0ZG5hNIX8MsI/PfjPg6/ri4OP55g/T0dLp27ZpZWL1eTzk5OfxzGBkZGZSYmMj9dTodRUZGUnJyMoWHhxNZ+GRGWFgYffjwgQwGA2VlZVFGRgb/aTQas7AGg4EyMzMpIyODsrOz+TH7ZMKrV68oOTmZSMiHXq+n7Oxsys7O5nLT09P554ZkvoyHDx/SmzdvzNzUajX/9IRer6fnz5/zsmDl/P79e7p3755ZvOPHj5Ovry/dv3+fuxlNnw8iUzlHRETwMhI/FcHQaDSUnZ1NWVlZlJ6eTunp6fzTOvPmzaN69erxT1OI8WJjYyk1NdXMPTo6muLi4szc7ty5Y/aZGylarfaj9Fn4rVu3UpkyZejVq1dEQl00Go2Um5tLDx8+5DJzcnIoNDSUy83NzeWfyHj8+DG9fPmS+4k2jYmJIaPRSHFxcbR27VoKDg7mZSHVNz09nVavXk0RERGUmJjIP3GTnJxMT58+5eGSkpL4Z37I9GmQlStX0uXLl0mr1X706RCWp5ycHH4tZmZmml23r1+/pkePHpmFJ1NbcffuXdLr9ZSYmEgbN26kXbt2UXZ2Ng/bsGFDmjp1KpfFMBgMlJuba5YmqztGo5HUarVZW5KZmUmZmZl0//59s/rJfjdu3KDs7Gxq1qwZDRs2zCwto6leinnMED7j9OLFC7NyJlO7J9bde/fu0YcPHwSp/1vueXl5XN/g4GDasGEDZWZmmsmSluV/GmajhIQE/hmcxMREiomJMQvHrgfG48eP+fVApjoYFhZGmZmZvC+Qfq6LfbYsLy/vo76AlS8jJyeH3rx5wz/Zk5aWRvfv3+fy9Hq9WXkTEa1evZqKFCnyUVm8evWK1q1bRxcuXCAy6fXhwwfavHkzbdu2jZdlQkICPX78mEhSl3Nzcz/qGxnh4eG0YsWKj66dCxcu0Lp163jdIVOe3r9/T0ajkbKysigyMpL7GQwGCg0NpaVLl9L169fN6nFmZiZt2bKFLl26ZJbf8PBw2rVrF6WlpVFubq7ZJ5IMBgOdPn2afv31V7N2XaPR8LaQTG38w4cPiYhoy5YtZp/IEutmWloarxOibZKSkszaGDLZa8eOHXT27FlKT0/nY4ysrCzeVrBzUReNRkOnTp2iPXv2mNU1jUZDwcHBtGrVKnr+/Pmffs3IyPx/Q0Hs1pSMzN8AVt0VwgsnxJUF8XIQ3cSVB0vxmDtD9GdbIsWw/wrSdGT+OaR2lJaniNTPaHrOVOqv1+sxZMgQ1K1bl78wjPlLw+ZXvz5FZmYm+vTpg2nTpvFneS3VR2neRDdpWuKWXamfFLVajQEDBmDw4MHo0KHDR+lIdZAei/8sjmhLqZ3yW7H4nM2k/mJ6+dkBkvSRT5j8kNqCuVmSceTIEWzcuBEHDx7kjyH8K4jpiOUJky6XL1/G1KlTcfToUXh7e/MttMzfElKb5RfuU+QXz5Kt/gykdUGqryV/8Zy5kaSustVPhfBm3C+1oxhGaieWltSfiODr64vAwEAsW7bMzE+aniUdpDIV+fRbluIyPpWe6C5NS/QTsZQ+8tGBuVnyY3wqrby8PHTo0AHDhg3jW44ZlvL/uX8p0rTFvEn9GP9IuywjI5M/8kRX5m9Ffh2YdHAo9Zd2ZCRs87QSnrHNr6NjfMrvc4hpWFlZfTTZkvnHYGUolh/yKSNxMGKpLojhtFotbG1tLYZhZSa6WUpPRKxTer0eBoOBb/+FBZ0YLI7UTxqOhflUXRJlsPyJgzXpoMzSQI7JEPVi/9IysOT2KaQ6WEIqU2oX5vcpGQxpfkVZ7J+lx8qcpaNQKPgzmeI2838Vqa2YTaysrKDT6WA0Gj9KL782RNSfhRPLThqWIS1bdszc/5n6/+9EWm7MjSHaUNSX2QdCvWH2kh5LEdOS5l2ahtROUnksfmJiIrZu3Yr27dujWrVqgIUysFQXRT8RaZrS8hPDsOPP1RUxvKX8sTDSeOK5Jb3EPIlh2c2cT9lQ1CEvLw8ODg7cX5onqd3wGd3YsRiXpcfCSHUWYXGl/tJzGRmZTyNPdGX+VuRX3S11KqwzEt1YGLEjE/lcRyYN/48g7Ugt6Sfz5TB7Sm1oyZ6sLC0NdizFl4ZRWJgMikhliLC0YYonys+vnjFd2bFUJ0vx8kufIaZpyZ35sQEm00GaDgsnxpNOuFhYMYwoQwwvhs0vHUs2Y3GkOrJ/aT4Zok6Q2FKsH9I8QsiDNH/5pfWPYBRWESHkTZx4iPYRdZYi1VsaV4Sla+nagCTPLE12bCnt/ySiDUTdLeVVtAF7ky6zr2hnhrSOMvnMXSpfRGpHMb4ld7FMpe6W4sEUhpWdWEbSuGI5iXmUpivmR5THzkVEf7F+iv5imM/lhSENI+ZBlC8i5s9SWCZD2kZZQpoekyOOG8S02L+0/omyRJmfS19GRuZj5ImuzN8OsYMRO1JIOkrpsYi0A7LUqYlIz/8VxLTxB8v+OyEtQzbY+JQ9xeZSLIPPueU32YAgM790P5WmJf3FOGKazF0Ml1+aIkxflg6EeJbiW9KPuYvxRL2Rz2qRGIchymR+Uvsy8osv+n/KXRqXwXRnaVpClM0Q8y3qm5+ML8VSm/OlWIon6igiPRexVH5ieViyr9T9z0LMK9NNWkaQ1DfxnB2zOJbyZykNS3mX2t2SLNGPpUf5tGHiuaXrRMwnO2dI3fILK82ziFRnEUtxRFlSvfPzh8QWCskjEdIw4jlJJp8sbn75FM9Fe0jrhKinJaR6iG6WzvPLk4yMzKeRJ7oyfzvyq/LSTkXsFC11POK5GI91Rvmlg3zkiOlKw7Gw4rnoJv2X+TyWbCUtA0vHX1JGzJ++4G69lPzKUirTUthP6aqwUDeZ/PzORSzpJGIpPdGdHYt+luKJWIr3pTpYSsMSYhzKZ7IgDcuOP0V+6VvKi1guYrhP6fCp9KVpSd0/hVT+5+wpHXyL8b8kvT8bqc2Rz/XDyM82luSIblI/6Tlzk/rnF0bqT3/Qip+Y1j8q05ItpO75IYaHxHZSLMmRppefu1SmJTfRXfSXhpWeW+JLwsjIyPz7kCe6Mn8rWHUXOy7RT+yQxE6OhSNJxy/tDPNbWWHxpRMUS+HF9PJzZ8dMzj/a+cqYlx0kdSK/MmCwsKz8WL0QZYkv/GFulsrM0uqBpdUx6fmnytjShPZTx1KdvkSGJaQ2E+NI3ViaUj8RMT2pnf5ImC7SvIp2YefSgT+LI82PVIbonl9eLLUHDCZP+i9Fmp5Ifu6iPpZkMpjukDzTLMYR9RPzk1/afyZMb6ZbfvYV/cVw0jwyxHNLtmHH7BqzdL1LEctVqo/oL9WF8SV5keabkZ/MfwQxfalN/lGkusOC3M/Z40uhT1z3Ypr/ajoyMjL/Hr78Vp2MzH8BrDNigzWxI7Q0AGA/MQyLK+2spR0fcxd/YjxxkiSmaTAYzMKJHagYTvQTZcgd7pch2l5aNmIZMqTlwOJJ3dm/Uqm0KNtSHWHymDuLy/xZfEtpirA4bFD2qbTz05v9pANvUedPIdVNqr/UXYSFMRgMH+lsKfy/C1FPppPU7qI7hGtdGl8aB6byEcuCTDc3mJs0fTEsc5Pah7kz2VJ7Sc8ZUrlSpPb/lGxpXqXh/qqI9pTan7lBknepXUREWeI/JDZiMthNA2k6UpuLbtK0RT9L5BdXdJOGF///WaT5YudietLzLyW/PCtMz0//qzC9WBpGo9HM7Z/RWUZG5j+LvKIr87dCrO5i52VpECB2cGJHbQmx85N2gPnFgYXBhSiDnZOFu8kMUcdPucl8jKUysrQCJbWnWD9Y2YgrMuJNFCmW3GChHjAshZfqI0Uqi+n6uTgK0yq0Uqk0yw/D0s2hL4HZSRpPtKNoa2bTz+n870CqCyyUgehuScf84jGk5cNQSFZLRcQ4luRa8reUjqW4+WHJFpDI+FyYz9niz+ZL9PtceYthGGJY5kefaMdh8mdhpeFEWWL6Yn2R+on8I3mw5PevkJ/uop/0+HNIbQshb9LzL5VpCenYQISVl7SsZGRk/lrIE12Zvx2syn/48AFEhMKFC8NgMCA+Ph4eHh6wt7cHTB3l69ev4erqChcXF6SkpCAjIwMAoFKp4O3tDaVSyWUqFArodDokJSXBzc2Nf6pAoVAgPT0dqampZh2mq6sr3Nzc+DkLq9Vq8f79exQsWBBOTk4AgPj4eGi1WrNwSqUSRYsWhVKpRHJyMtLT02FjYwNvb29YW1tzuTKWEQcqmZmZSE5ORqlSpbh9s7OzkZOTA09PT14/ChUqBJi+J+vu7s7lKBQKZGVlITExEaVKleKDLHEQlJycjMzMTEDySRJWl1hYFs9gMODVq1cgIhQsWBBubm687uY38Hr//j2srKzg6enJw3748AGOjo7Q6/X48OEDrK2tuR9MsooVK8bdmWwiwqtXr6DX6+Hs7AxPT0+LE2ARg8GAt2/fwtXVFQUKFODy2P+7d+/M9GNpMb0LFy4MCDbVaDRISEiAwWBA4cKF/5Bvzlri999/x5s3b9CzZ0+zT/DodDrEx8fzsrK3t0eRIkUACwPz5ORk6HQ6eHl5cT+F6ebB27dvodPp4ObmxusQkwHJoDwvLw+JiYl89cjNzY23EwaDAUlJScjLy+My9Ho9fHx8YGNjw8/fvn0LDw8PODo6flQGUlgexRsZ1tbW8Pb2hlarRXJyMjw9Pbl8tVqNpKQkFCtWDEqlEqmpqVCr1ShatChPIy0tDXq9Hh4eHvmm+1dBr9fj5cuX8Pb2hqOjI7/uvL29YWdnBwDQaDRITU3l9TYpKQlqtRpEBEdHR3h5eUnFIisrC8nJyShZsqSZe1JSEnJzc83cvL29+SfDFKZ+5P3791CpVLw+MRQKBZKTk6FWq1G8ePHPlq8lxDpZsGBBFCxY0MxfrVYjMTERxYsX533cPwvT69GjRzh58iQmTZqE8PBwPHr0CH369OF93D8Dk52amorXr1+jWrVqH9lAev6PwORnZWXhw4cP3M6srRI/R/SvpCMjI/NvhGRk/qaMGTOGBg0aRERE8fHxVLx4cX7OqFevHgUFBRER0fz586lw4cJUokQJKleuHH3zzTeUlJRERERGo5GIiE6ePEmenp60fPlyM/f169eTp6cn+fr6ko+PDxUvXpzLFcPl5ubSqFGjqFSpUnTw4EHu361bN/L29qaSJUtSyZIlydfXl6pUqUKpqal0/Phx8vPz4/7jxo0jvV7P48pYhtncaDTSd999R56enhQSEsL9jx49SsOGDSMiosTERKpduzadPn2aLl68SLVq1aKMjAwelohoxowZ1Lx5czPbszSYf+HChcnX15eKFy9OPj4+VKJECQoICPhI1rt372j06NHk6elJHh4e1KZNG0pMTCSSyBTR6XQUGBhoVofVajU1bdqUTp06Rbt376ZChQqRr68vlShRgnx8fKhkyZJUpUoVevPmjZmsjIwM+umnn8jb25s8PDyoZs2a9PjxY6JPpE+m+u/t7U0DBgwgjUZDJISPjY2l6tWrk5+fHz1//pzH0ev11LZtW6pZsya9ffuWxzEYDDR69GgqUqQIeXt7U4MGDejWrVvc/1N6iH6Wwkndpk+fTvXq1aP09HQz9zdv3lClSpWoRIkSVLx4capQoQKNGTOG4uLieBgma9iwYeTj40P37t0TJBDNmTOHvL29qWjRolS9enU6ceIEjyfWQUZUVBRVrVqVihUrRsWLF6eAgABeL7OzsykwMJC8vb3J19eXfH19ycvLi16+fMnj79ixgwoUKEC7du3isqX5FXn58iVVqFCBihcvTiVLlqTixYtTgwYNKC8vj4KCgsjb25t27NjBw9+4cYPq1atHOTk5pFarqVu3blS1alV69OgRD7Nq1SqaMmUKP7dUHp/S6T9JVlYWFS1alE6fPk1EROvWrSM3NzdaunQpD3Pv3j3q3r07GQwGSktLo06dOlGRIkWoRIkSVKlSJVq7du1Hbe6ECROoaNGidPfuXe6mVqvp66+/NusLSpQoQc+ePSMSbBIaGkre3t7UuXNnys3NNfP78OED+fv7U7Vq1Xg8g8HAy1m0ryUbGwwGWrBgARUtWpSKFi1K/v7+9Ntvv/E4RETDhw8nLy8vioqKMnPPT7aldBjMLzg4mGxtbSknJ4dmz55NFStWNLvepUjzI3Lu3Dm6du0aP9+zZw9ZWVl91I4xpDL+Ud13795NXl5evLwqV65MV65cMQsjIpVvKcynYOEtxftn5MnI/J3J/9a8jMx/Oampqfjw4QNguqv/5s0b7Ny5Ezt27OBhPnz4wFfhkpKS4OHhgWvXruHnn3/GyZMnMXnyZMB0N9doNOLAgQPQaDQ4fPgwUlJS+F3ejIwMODk54cyZM7h06RIuXbqEXr168XQUCgUyMjLQt29fnDlzBu/fvze767969WpcuXIFFy5cwJUrV1CjRg0olUrY2Njg5cuXGD58OMLDw9G+fXusW7cOKSkpPC79k88//V3Q6XSIiYlBYmIiNmzYwFfOc3NzkZaWxu2XlJQEjUYDd3d3REdH49KlS1xGdnY2Nm3ahDZt2vDna0WbExHGjRuHGzdu4Ny5c8jNzcXAgQNx8+ZN7Nu3D46OjjwsANy/fx96vR7BwcFYuXIlLl26hF9++cUsjCWSk5ORmJjIz7VaLaKjo5GWlobAwEDcvHkTV69ehYODA5o1a4br16/j5MmT8PT0BIQVxvj4eLx79w5btmzBli1b8Pz5c0yaNOmzq0ZRUVFISEjAvn37cPv2bUBY6di3bx8ePXqEqKgovH79msc5d+4cwsLC8OLFC/z+++88zuHDhxEcHIy1a9fi6tWrqF+/Pt6/f8/jiXrodDpkZWVBp9NxN4PBAK1WCyJCdnY292N5MBgMyM7OBkw7NJRKJZfJ7GA0GvH27VssXLgQly9fxsiRI3Hq1Cl07doVb968AUx63L9/H6dOnUJGRgZCQkK4DqGhodiwYQNmzpyJmzdvIjAwEElJSdyfrRCJsFXUX375Bb///jsKFiyIIUOG8BWlt2/fon79+rh8+TLOnTuH69evo2jRojxucHAwbGxssGrVKmg0mo/yJIWtaE6aNAlXrlzBpUuXsGfPHtja2uLJkydISEjA999/j+TkZABAXl4e3w2Tm5uL+/fv48GDB1i1ahWXmZmZyXe/wFQW2dnZ0Ov1PM/56fOfxmg08hVaAAgPD0daWhqWL1/OryWtVoukpCQYDAa+u6Nbt264efMm2rRpg3HjxuHQoUNc5rt373D48GG8f/8eO3fu5O4AkJCQgKpVq/L2/OLFiyhWrBgg1Onk5GQkJCTg+PHjuHz5sln8bdu24c6dO4iPj0d8fDxgqv/i9cBWm1m/lJ2dzfN38+ZNrFmzBjNmzMCNGzfQpk0bfj0qFArEx8fj999/R25uLrZu3QqY6g7bxitu59XpdMjMzDS7tmBaAWfuol7W1tawsrLiP+anMO1kYHVERKFQIDc3l+9iyMvLw4QJE7B3716epzp16mDRokVmO6TUajVvE0Qd8vLyoDDt2NFqtbw+forMzExujytXruDEiROoXbs29Ho9tFotDAYDMjMzzdqNrKwsnpbC1N7k5eXx64blR7wWNBoNsrOz+TnTTa1WIzs7m9tejPc53WVk/u7IE12Zvy0K4YUVZNqOVKxYMbOJolKpNAvj7OyMEiVKoHPnzmjatCkePnyIrKwswDS4OXnyJBYsWICIiAg8efJESA1wdHREuXLlUKpUKZQpU8ZsKypMg8Hhw4dj06ZNcHV1hcH0Uiqj0Qhvb2+UKVMGpUuXhpWVFe7du4cxY8bA0dER48ePx7fffouiRYuidevWXBaLK3eEn4bVgypVqiAkJAR79uwx81MIz07qdDpUq1YNjRo1wvr163m4mJgYpKSkoFatWh/FJdOA093dnZehSqVC4cKF4e3tDR8fH76V2Wg0wmg0onnz5li7di0aNmyILl26oF69evymTH7lyeqwSqXibuxcoVDAxsYGZcuWRbFixeDg4AA3NzcULVoUJUuW5HHYIKp8+fJ84t6xY0f0798f79+/53bID6VSCS8vL1SqVAlbtmzh7pmZmdi3bx8CAwPh4uJith3ywoULKF26NAYPHmxm09DQUBgMBtSoUQOlS5fGzz//jE6dOpnlPzs7G6tXr0a/fv3QqVMnDBo0CG/evIFCocDBgwcxa9YszJ07F506dcKAAQPw6NEjXiazZ89G27Zt0bt3b9y8edNMJ2YH9u/j44PSpUtj3LhxCA4Oxv3793H8+HEe/tq1a1CpVPjhhx+wceNGPvC/d+8eEhMTUa1aNRQvXhzTp0/H0KFDeR4slaXC9FiCr68vSpUqhcDAQKjVaj5JBAB3d3f4+PiY1SeYbpCEh4dj+vTpiIqKwuPHjyXSP4bJLFmyJEqUKIEyZcrAx8eH+xcpUgT29vZYvXo1YKpT7KaAwrTNuXr16ti/fz8ePHjwkdykpCRMmDABHTp0wLBhw/Dy5Uuza+OvANMHpjIpU6YMiAiLFy8GTPVaDAMAnp6e8Pb2xrhx41CiRAl+kwYATpw4geLFi2PYsGG4ceMGv3ZhSsvV1RXFixdHmTJlUKZMGb5dntnDysoK1tbWCAgIwMaNG3k8tVqNgwcPon79+vDy8oJKpcLy5csxdepUPql68eIFevfujXfv3iE3Nxfz5s1D586d0b17d9y8eROPHj3C+/fv4e/vDx8fH8ybNw8jRozg+u3atQuFChXC6NGjcfHiRWRlZX3UTwLA7du3MXToUHTq1Alff/01L9fz58+jZ8+e6Nq1K3r27InIyEguW6z37AeTvbp27YpOnTph1KhR/CZxTk4OFi5ciK5du6Jbt244cuQIVq1ahZiYGBw/fhytW7fG1atXkZqaivDwcL69/vTp0+jWrRu6dOmCXr164c6dOwCAw4cPY+LEidi5cyc6dOiA/v374/79+2blmh8qlQolS5ZEyZIlUapUKdjb2+PKlSsYPnw45s6di/bt2yM8PByHDx/G4MGD0bFjR/Tp0wf3798HAERGRmLcuHFYvnw5unbtiq5du+LGjRu8XgUHB6NPnz7o3LkzfvrpJ2g0GgDA4sWL0bFjR3Tp0sXsZqe0PsrIyFhGnujKyJgwGo2YP38+Xr16hV27dpm5wzTYSU5Oxo0bN7Bv3z5cv34dbdu2hbOzMwBg586dKFu2LDp06ICGDRti06ZNXAaLu2PHDmzevBnHjx/nd5pZh1+wYEG0adMGzs7OZndu2SSIDQrWrVsHvV6Ptm3bAqa7wKGhoQgJCcGCBQvQrl07/vwo5A7xsxARdDodmjZtismTJ2PBggXQ6/Vmdmf2Y2VQsWJF3L17l08k1qxZg0aNGqFJkyYfyWb/7JjdfGDnEMqIrXJYmVY8YFrdiYqK+mjVR4rCNEGKi4vD3r17sW3bNuzZsweZmZk8DqvLZJpUs2NRF0hehqNWq/Hbb7+hRIkSZu6WMBgMcHV1RcuWLREWFoaEhAQAwKVLl+Ds7IzGjRubrbomJiZi3759mDt3Lho3boyXL18iJiYGAPDNN9+gQIECaNmyJY4dO8ZvKImkpqbi6tWraNiwIX788UfcunULc+bMAUyTzMWLF+PGjRuYOXMmoqKiMHfuXADA/v378euvv6J3795o0qQJwsLCPlotEWE3jgCgZs2aqFmzJs6dOwe9Xg+9Xo8tW7Zg7NixaN68OfLy8nDlyhUAQNeuXVGnTh106tQJW7duRWpqKiCRb6k8jUYjbt26hRs3buDkyZOoW7cuihQpAoPpk1UPHjzAzp07sWXLFkRHR/N4R48ehY+PDwYNGoT69etj8+bNQD5pMMj0hvCLFy9i586d2Lp1K168eAGYVjIrVaqE77//Hhs2bMDjx4/5ZILVY51Oh8DAQDRs2BDjxo3jclld+emnn/D7779jyZIlKFeuHF8lldr4r4LBYECZMmUwb9487Ny5EzExMR/dBFEoFIiNjUV4eDh2796NjIwMDBkyhMffv38/atWqhRkzZiAiIoLXaWbr2NhY7Nq1C5s2bTKbCDKMRiMcHR3RrVs3nDlzhq+4/v7771Cr1Rg2bBiys7OhUCjg4uKCFStW8NXd8+fP486dO3BxccEPP/yAtWvXYsSIEWjZsiWWLl2KFi1aoE6dOmjTpg22bNmC9PR0nm5OTg7Onj2LWrVqYfjw4fjw4QNfURav/ZSUFAwfPhyJiYmYNWsWrKyscPXqVdy8eRNDhgxBkSJF8P333yMrKwt9+/ZFQkICrK2toZA8S2xnZ4fQ0FCMGjUK9erVw8yZMxEWFoZFixYBAH755RcsW7YMI0eORNOmTXH8+HE4OTnBzs4Ojo6OqFatGsqXL4+4uDicPHkSSqUSoaGhGDhwILy9vTF37lx8+PABvXr1Qnp6OqKjo7F+/XqsXr0a48ePx8uXLzFx4kSer0+h0+kQFhaGK1euIDw8HADw5s0b7NixAyEhIShfvjw0Gg2uXr0KHx8fLFiwAMnJyRg9ejRgWsnftGkT9u7di++++w5arRYTJkxAdnY2QkNDMWLECFSpUgVjx45FWFgY4uLieP4HDRqEoUOHIigoCEeOHOF2/NyNRxkZmf9teGVk/pb069ePOnToQEREcXFxBIBu375N33//PRUtWpRSU1OpQoUK9MsvvxAR0Q8//EAAyNbWlgBQ3759KScnh8j03Ey9evVo4sSJRES0aNEiKly4MCUnJxMR0YoVKwgA/7Vo0YI/e8Xis+dubt26RV5eXrR169aP/BITE6lChQo0Z84cHjcxMZGKFi1KCoWCANCwYcPMntliMmTMYTbRarXUqlUrGj16NEVGRpK7uzutW7eOjh49Sj179iQiooSEBPLx8eHPTcfExJCzszOdOHGCMjIyqEqVKjRz5kwzueIxKw8yPZPq5eVFq1at4n5paWmUmppKaWlplJ2dbSbj66+/Jl9fX3rx4gV3s4RWq6X27dsTAFIoFGRlZUVWVlYEgPbt22cWtlatWjR+/Hgik44ZGRmUkpJCqamplJGRYabv0qVLyc3Nja5fv87D58e8efPI19eXbt++Ta6urrRx40YiImrRogWNGjWKzp49S/b29vz5tp07d5K3tze9fPmSUlNTydfXlxYsWMDlRUVFUa9evcjKyoqaNWtGqampRMI1wXTR6XSk1+vpxx9/JE9PTyIimjJlCpUoUYJevXpFRERBQUFUqFAhSk5Opi5duvBrn0zPU9arV++jZ6Vfv35NLi4udPnyZSIh7/3796fatWuTVqulGzdukKenJ4WGhhIRUUBAAH399ddcxsuXL2n06NFka2tLVatWpdjYWCJTuTOZok0jIyPJw8ODFAoF2djYEACqX78+PXr0iNRqNX311VdmbQmrR1lZWeTt7c3P+/XrR1WqVOHPdrP0pMTGxpKTkxOX5+joyJ9XHTVqFDVq1Iiys7OpUKFCNGbMGLp69SqVK1eOcnJyKCUlhXx9fWnt2rUUHBxMDg4OFBISQsuWLaORI0cSEVGfPn2oZMmS9Pr1ayJJvv8KZGRkkI2NDR09epTIVLbNmjWj+Ph4qlChAn3zzTd09+5daty4Mel0OkpJSaF69eoRAFIqlaRQKGjFihVc3oULF8jV1ZVu375NarWaKleuTIGBgUSmZ3Q7duxoVn7sWWCxHpw4cYLs7Ozo7t27VKlSJZo+fToREXXq1IkGDx5MFy9epOLFi1NoaCjFxcWRk5MTb5tq1qxJCxcupHfv3lGZMmV4u0RE/Bn058+f07fffkvW1tbk5+fH25abN2+SQqGgp0+fEhGRr68vf0+ByOHDh8nJyYk/l63RaEiv19O4ceOodOnSPNyDBw/I3t6etmzZQmfOnCEHBwdSq9U0b948qly5Mr17947Gjx9PTZs25f3hrFmzqHDhwpSZmUklSpSgH3/8kctLTU0lg8FAZcuWpbFjx3L3PXv2kIODAxmNRurevTu1a9eOPzN99+5dAkDh4eG0cOFCcnd353ovXryYqlWrRh8+fOCyLLFhwwYCwNvTUqVKUUpKCu3YsYMAfPRcvk6nI6PRSFu3biVHR0fKzs6mo0ePkoODA28nwsLCCAC9evWKxowZQxUrVuQ6Z2dnU3JyMtWuXZsmTZpEBoOBtFotNWnShLp3787TkbYdMjIyH/Pp2/MyMn9DRo4cCQBYvny52Z18jUaDGjVqIDk5GUuXLsWpU6fw9u1bwLQtKTY2FlFRUVi6dCkiIiKQmpqKc+fO8bjly5fHhw8fkJKSguPHj8Pe3t7iapol2B3w06dP48mTJ+jUqRP38/DwwP3795GRkYHdu3dj69atmDdvHl95+BL5f0eYTZmdtFotatWqhd69e2Pp0qWIjY012wYs2rJChQoICAjA8ePHcfv2bcTHx6N37948rAgJ3zaFIIedExGGDx+Oli1b4quvvsLmzZu535YtW3D06FEsWLAAvr6+ZnIZTCeF6Tm3li1bIjc3F8nJyXj58iV/W7IUUZ+FCxeiefPmaN68OWbNmgWDwQCFQoGTJ09i4cKFmD59Oho0aPDZuqQwPYtWokQJdOvWDTt37sT169cRExODyZMn81VAlvbZs2ehUCiwadMmrF+/HllZWbh27Rp/9q5atWrYt28fbt26hUePHuHrr7/m6bD8rly5EpUqVULjxo2xfft2ODg4AKaVtRIlSvDn9sj0huu8vDxkZGTwcDC9AV281qX5ZKtZTO/bt2+jevXqUKlUOHfuHN9S+vPPP+PDhw+IiIjgzxOXLFkSq1evxsOHD0FEvJ5IZTKICDY2Njhx4gRSUlLw7NkzJCQkYMWKFVCpVNDpdOjfvz8yMjKQnJyM4cOHAwAePnyI1NRUXLhwAT///DOMRiOePHmCe/fumaUjzRtMz+lu3rwZmZmZePv2LVq1asXDstXFlStXYv/+/fj9999hY2NjJketVqN79+5o3749Fi9ejNTUVJ6/6dOno3z58qhZsyZ69uzJV3Sl+f6zkNqDiKDX61G4cGFMmzYNx48fx8WLF2FnZ8evXZ1Oh++//x4pKSmoX78+QkJC+LP9cXFxSE9Px5EjR/Drr7+icOHCuHz5MnJzc6EwtTMdOnTgb/IdM2aMWfow2cZoNKJUqVL46quvcPbsWYSFheHatWsYNWoUf0O63vTG7V69emHp0qV48uQJ3r17hxo1aiAzMxNZWVkoUaIEYMoXexN6qVKlsH79ejx9+hRqtZrXyfDwcBARgoKCsGDBAnh5eeG33377aCeCRqOBUqnkW9xtbGygVCqRkZFh9tbyKlWqoEiRIvxZeQbbPaHX65GWloaoqCg0a9YMAQEBOHToEKpVqwatVguj0ch3EAAwewZX3GUBoT6xt76z67lo0aIoW7YsoqOjodPpUKRIEVSsWBGQtJ1SRH31ej1cXV3x+++/IyEhAVevXkXBggVhMBhga2vL33FgMBgQHByM8uXLo0GDBpg/fz63h9FohJubG3+zvE6n4+WoVqtha2sLpen9Do6OjsjKykJGRgYOHTqEBg0aoHHjxoiPj0epUqW4XqwdlJGRyR95oisjI6DVauHr64spU6Zg69ateP78Oe8wjUYjrK2t4eTkhAEDBqBo0aL8mZmzZ89Co9GgUaNGSE5ORvXq1eHq6mr2wiJbW1u4u7ujYMGCZoNs1lGxf3H7KnNnne7y5cvRq1cvVKtWDTDpZDQaUbBgQTg7O6NZs2YoWbKk2VY5uSO0DLOp0fTJHHY+c+ZMAMCOHTvMbCcOfABg+PDhOHToEA4ePAg/Pz+UL1+e+2k0mo9eqgJhu6dYplZWVli/fj327NmD/fv38y2Qu3btwqxZs7BmzRr06dPHTIZarf5o8srk2dnZwc7ODm5ubihYsOBHnxOShgeAH3/8Efv27cPevXsxa9YsqFQqXLx4EePHj8fUqVPNXroG04u6xOfARRSmLdTffPMNIiMjsWnTJlSrVg2lSpXiYVUqFeLj43Hr1i34+/vzCWj37t1x4cIFPH/+nNdthUIBf39/NGnSxOwlazBt05w9eza2b9+O48ePo2vXrvzZNkgGw8zu7PpiL4OB6TlS6cBZRPxcV3h4OF6/fo1GjRpBo9HgzJkzqFGjBlxdXZGZmYlOnTohOjqaTzDZTYPSpUujU6dOSElJARHBILycRlrPFKZnup2cnFC6dGkULFgQOp2Ol5mjoyNcXFxQqFAhPhHYu3cvXF1dUbNmTaSnp6NUqVLw9vbmbRCZBtSW6gIA3oa4urrytke8Lvr06YN69eph2bJlUKvVsBJeKMTKde7cubh79y6Cg4O5zSpXrowTJ07g8OHDOHfuHA4ePCik+tfAUhup0+kwYMAA+Pn5YcWKFcjJyTELZ29vjwIFCmD69Om4fPkyLl++DCLCypUr0aJFC6hUKuTk5KB27dpQqVQ4cOAAn/TY2dnByckJ7u7uZhNDqR4ajQY//PADYmJi8MMPP6B27dqoUaMGn1Qzu/fq1QtpaWkYOnQovLy88NVXX4FMN9jYNaMwfa5Lq9XyRzN8fX3Rt29fxMfHIy8vD1u3bkXjxo1RoEAB5OXlwd/fH2q1Gjdv3jTTC6a+UpwA6/V6WFtbc91gmnSmpKTAzs7OrJ6zesXOK1asiP379+PgwYM4e/Ysdu/ezT+NJV6X7BqQvmCKwa5v9pI5mF4oGRsbi/Lly0NhuhEnXgMKYbKoVqs/ajNYGGtraxQtWhRFihThL3+TEhUVhdGjR2Pu3Ln47bffMGrUKOh0On49sfYfkn7fysqK9xfSfLVt2xbHjx/HgQMHcPnyZfz444+ASbf8rmUZGZn/Q57oyvytYB0D63DE5wVF+vTpAy8vL+Tl5fHBBBt4A0DhwoXRrl07vloVFBSEMWPGYPbs2Vi8eDFmzJiBiRMnYt++fXj79i1sbGyQlJSELVu2YPPmzdi0aRN/CQbr8DUaDX777TccOnQI2dnZuHTpEvbv34/09HQoFAqcOXOGrxyyjvP9+/f49ttvsXHjRly7dg3z58/Hs2fP0L17d+Azd6z/7ogDDYPBwMvWw8MD48aNw8OHD/mgiEwrW+IgqEKFCnB1dcXGjRvRt29fXibJycno0KEDdu/ezdNg8dm5mB5MKxXly5dHhQoV4OzsjFOnTmHIkCEoV64cAGDjxo3Yu3cvDAYDHjx4gHLlyuHVq1c8PkNap41GI7RaLddNrP9inAIFCqBChQo8TxEREQgMDISTkxO8vLywZcsWbNu2DSkpKUhLS0PZsmURFhYGSG7EsHxptVrUqFEDdevWxc6dO9GvXz+eFqvvp0+fRnJyMtavX4/Zs2djzpw5+Omnn+Du7o69e/fihx9+QK9evXDgwAEsWbIEISEhCAgI4HrDNGC2srJCRkYGQkNDcezYMT7xI9MgWZyQazQaODs7o3Xr1rh9+zZ27tyJhQsXIiQkBCqV6qOBI7PTkSNHsGfPHkydOhVNmzZFnz59MHDgQFy8eBHh4eH49ddfMWvWLMyfPx/z589HtWrVsGvXLixbtgxt2rTB/v37sW7dOmzevBn16tWDQqHAmjVrEBgYaDbhZuh0Ohw+fBi7du3C1KlT8ezZMzRt2pTn5f79+9i+fTs2D/r+EwAA//RJREFUb96Mbdu2ITo6GqdOncLIkSMxe/ZsLFy4EPPnz8egQYOwceNGZGRkYNWqVQgMDORvkZe2hWfPnsX27duxadMm7N+/n/uxfysrK4wdOxaZmZn8uW9mXyarQoUK+Oabb/iL+IxGI7Zt24bg4GDodDrY2tryCbDU1n8mer2e25blh+X9+++/x9u3b/HhwwezCQvzDwgIQM2aNbF9+3bcuXMHz58/x48//og5c+Zg/vz5WLJkCby8vHDkyBFkZmZCqVTi8ePH/H0NmzdvRlpa2kfXkV6vh9FoRLFixdCkSRNcu3YNHTt2hEql4n6Mli1bws7ODjdu3ECnTp1gb2+P8uXLo1mzZti4cSPOnDmDVatWoU2bNli7di06dOiAffv2ISgoiNfRa9euISkpCbNmzcKsWbMwb948LFq0CBUrVuQvImMEBATA29sbY8eOxZUrVzBmzBhs2LABXbp0QVZWFn799VdcuXIFI0eORJUqVdCzZ0/k5eXxiSqzt42NDbp06YJHjx7hwoULePfuHSIiIrB//37Y2dmhVatW2Lt3Lw4dOoQNGzagX79+yMvLQ/369XHhwgUcOnQIr1694hNFo9GIUaNG4fr161ixYgUuXryI7777DnXq1EHt2rX5yjJrh1kca2trxMbGokmTJrh16xYg6TOZzszmrJyIyGy1WmGaNGdmZiI6Ohr79u3j5craI7Hc2OS2Q4cOePfuHRYuXIizZ8+ie/fuSEpKQo8ePXD16lVERkYiPj4eZ86cwfnz53na7CcjI5M/ytmzZ8+WOsrI/LdjZWWFR48ewcvLC82aNUNmZiauXLmCIUOGwM3NDQ4ODnyi27ZtW5QpUwZv376Fvb09fwlU0aJFceHCBVSoUAH37t3Djz/+CC8vL55G6dKlce7cOXTq1Am2trZISkrCo0eP8OTJEzx58gQ+Pj6oWLEi71CzsrKwefNmxMbGolKlSlCr1Xj+/Dnq168PNzc3nDx5EkWLFsX48eP5gEulUuH58+fYv38/1q9fjzdv3mDZsmXo16+fWYcOebKbLwqFApGRkShVqhQaNGgAmFYY0tPTUaNGDdSrVw8GgwFRUVFo164dfylUoUKF+GrFxIkTUaBAAcD0aZ61a9eifv36/C3MbADEyuDs2bNo3749ypUrxwdCYvm8ePGCf5Lq/v37fEtiixYt8OrVK6xZswajR49GwYIFzeTfuXMHVapUQaNGjQBTPb9x4wZq166NihUr8nQuX76MunXrws/Pj6fPUCgUSEhIQHx8PDw8PPDw4UM8evQIL168gL+/P2xsbDB79mx8++23KFasGJepUCiQmpqK5ORkdO/eHc7OzlCpVEhKSsKkSZNQoEABpKWl4enTp+jfvz/u3buHAgUKYMCAATxtJycn5OTk4PXr1xg5ciROnDiBX375Bffv38fEiRMxY8YMs9VVHx8f6HQ6TJ48GampqahcuTLKlSuHjh07Ii4uDgqFAh06dIC1tTXevn2L3Nxc9OjRA/7+/oiJicGSJUuQnJyMGTNmwGAwoE2bNnwFXGH6fEpiYiLevHmD6OhoqNVqfPPNN5g2bRpUKhXu3r2LjIwMjB8/nuulUqlgbW2Ne/fuYezYsbh58yYWLFiAq1evon///li8eDEcHBywY8cOJCQkoF+/fmZb5DUaDZKTk/Hq1SvExMQgOTkZkydPRt++fUGmz1xlZWXh0aNHePz4MWJjY1GuXDlERkZi6tSp8PDw4LKcnZ1x9epVBAYGYvfu3Xj9+jUGDhwIOzs7wFTWOp0OHz58QHJyMh49eoSnT5/iw4cPaNu2LWJiYmBvb4/27dtDoVDAx8cHNjY2cHd3R+fOnQEAt27dQoMGDVClShXAdO18+PABAQEBqFWrFi5evIgZM2bg5MmT6NWrF0aOHAlHR0ez+v5nYjQaERMTg9atW6N48eJ4/vw5VCoVOnbsCKVSiWLFisHJyQmenp5o27YtFAoF7t69Cz8/P1SvXh12dnbQ6/V48uQJn4QOGzbM7JNhWq0Wz58/R7t27ZCVlYWcnBxu68ePH6N169ZwcXHhNsnOzsb79+/RvXt3ODg4wMHBAYmJiZg+fTpcXFyQm5uLx48fo3PnzmblfebMGaxfv56/jLBGjRp4/fo1Fi1ahOjoaIwbNw4tW7ZEaGgoFi9ejMuXL2PEiBFYsmQJbt26hZycHIwZM4bfLLKxsYHBYEBcXBx69erF9XN1dUW1atVw9OhRrF+/Hra2tvj666/RpEkT+Pj4YM2aNdi+fTs8PT2xatUqFC1aFMnJyUhLS0PPnj2RmpqKpKQkdOvWDTVq1IC7uzuCgoKwceNG3Lt3D23btkXlypXRsGFDJCYmYuHChXjy5AnfVVC3bl2cP38eu3btwldffQV3d3dkZmaia9euqF69Otzc3LB8+XLs2rUL5cuX5zZJTU1FXl4er7vp6elISUlBr169EBMTgzVr1qBv3758uzdM18j79++RmJiIPn368N1YCoUCb968QWZmJvr16wcbGxsUKVIEbm5u+Omnn3D//n1UqlQJPj4+6Nq1KzIzMxEfH4+ePXvCwcEB6enpePPmDQIDA1GzZk0ULFgQK1euREhICGrUqIHAwEA0b94c6enpWL58Ofbs2YOsrCx07twZRYsW5WXxV7mOZGT+qihIvh0k8zdCnFDoTZ/rYNuo9Hq92WoQJJ0IuxMruomrZ+JzayyMTqeDUvg0hZg+Oxb/WVxpOJj0Fd9cKaaj1+uRk5MDOzs7s2eCRF3lDtEc0e4G0/ZSdgPBUrmT6Y2pYnwyrfywlUUA+PXXX3Hq1CmcPn0639UrrVYLGxsbnj7TRSxbCHqI9aFfv37w9vbm2+bF8KyOMBSmiYzCtJ2YydBqtVCZPjvE6omogyiXnbN8jh8/Hmq1mn/2hOnPriMmj9mD5ZXJMxgMsLa25lv6WDiWltG0wqhUKmEwGKBWq2Ftbc23P1oiNzeXPyco6s/ksGO2egOTHmq1GiqVCra2ttx2Yr5Fu0shU70h07O/zI3B8mk0bTWHacsxTFulmzdvjmXLlpk9DyuWh5iP/MpEdBP1t7Ky4uWlM31juH379hg/fjx69+5tpqdUtghb5WT5gGQ7MwtjZdrCDMFuDIXpszgGgwFOTk4fpZOfff8TMF2YjRXC7g6xrZWWhd609RfCs9YajQYqlQoGg4HXB1YGRtNuELF+QmIrMS0S2hWFqU4YjUaz9ofZnaXfr18/xMXF4fz582aPxhiNRuTm5vJrCKZ8sG3srE6ysmbXC4Sy0ZmeJ2Vuoh3y8vLg4ODA64XCtDtJo9HAycnJ7PpmdYjFZbsoxDi2trawtbU1s0VOTg6/TsW0NRqNWV4ZClOd0+l0cHR0NMuTaEcyXcPW1taYMmUK3r17h+3bt/MyE8tdjCeWESRvpFaYvtFrZWUFBwcHHobJER+FYjJZOnl5eTAYDB99V52thjs4OHxUPsweMjIylpG3Lsv87SDToNfa2pp3OlZWVnwwLu04mBsbdIh+NjY2/Mc6Hwgdukql+qgTtHQsDgCkfixNNjER02FYW1ujQIECfCAgzYOMZZgtra2teTlJ7csGk+IAA6ZysTJ975LZmk02Fi9ezCcdYlmwshSfy2PukExqpHUApmfIqlatyj9ZwcIzf1ZHxLhshZGFJ9PLjtg5y7eYf5ZPUY6VlRW0Wi18fHwwYcIE7i6iME2oRVnSG0DMLiqVymzgzmC2hmnQzT4ngnxsAtMEUpp3Vm7MRqJcNolwcnLiZSHqopBcZ/kdW1tbc9tCopM46XR0dDQbvD558gQDBw5Eq1atzOSxwbU0n5bKQ/RXCO2DmGdm51evXqFFixYIDAzMNy9iuuyf5Y/lQ5TNwogDdZYm82fu9vb2fJIr5sFSfv4MWH2FKT9soipFtIuVMLmH6R0MVsJ3rKW2FfsCZhupPSDUAbE+WknaGYXpOmLycnNzER4ejsDAQD7xY+mzei7eKFIoFHBwcDCrk0qlkrdxUp1Y3ZJibXpnhdTP1tYWLi4uXD8S2kHmxuqVNA7rw1g8hULBr1PR3dramuvP7MkgItjb2/Nvdov9q9gGMDuym3FTpkzhdVwsX2Z/KdI6oDCVqZOTEy8HFoZdPxDaXWm7zD6bJLoxd2dnZ3mSKyPzTyCv6MrIyMj8gfw7Bx//TtlfgjjIkvnn+bPLUea/A1aP8vLyEB8fj8KFC/Pvusv8Y8jXpIzMfyfyRFdGRkZGRkZG5v8h8s0nGRkZmfyRty7LyMjIyMjIyPw/Q16FlJGRkfk08kRXRkZGRkZGRub/EeLLkmRkZGRkLCNvXZaRkZGRkZGR+X+GOHyTJ70yMjIyHyOv6Mr8rbB0X0fqJj1nbuxnKYzoL/rlF8eS26ewFJcdS2VIz2XyR/z0AyTlIv19Dmm5sH+j6XM5UndGfjqI5/+KHmKaluRY0ulTfCqcJbnsWBrPkj6WdBXD/7uQpiV1k/7n52bpnGFJnugnHkv9GdJw7D+/OJ9KU0QqS+puic+FFfWS+v2V+KvpJi0zS/qJbgrJG4dlZGRkZP4PeaIr87dDOpBgr+kX/Uj4Rp50UCG6iz/mL8ax9C+VZwkx3KfSE8OzCVV+MmXMYbZidvuSMmJ2FsPlN1Fl/yw+22ooTYd9zkLqLuogyvkULI60LojHImIaTLf8dLF0PYiI7tK0YcGOIsxPtA/Dki7/TsS8St2lsHxKbSS9uSHaID93qX2l4cT0LR1Ly08MI4azxJfYHZJ8ieUrhpXm/a+MNI/SvPyn8/Gp9MR2SrxeZGRkZGTyR57oyvwtkQ442b9C8h1OKST5vh4Lz9yYLHZsaSBiaYBoCelgRipTjMv0krrLfBqxvNm51J3ZnE1UpeFFP6ntRXlsQiv1z68cmVyRz9UZCDJYWFFfFleULeZTDC9Nm+kqypMihhF1leZRDM/cxPRFdyaL5elT6f+zSNNj51LbifkS47CwzE3aHogyxLBSeSyfUtkMUaZUlqiT6MbCMj8pLH2pm4hUvjSOJdlSff6qSPPC3JgN8SfpL+r0KdvLyMjIyOSP/IyuzN8O6aCPXQLiQIIhulka7Fi6fFg4o9EIKysrixMkWEjXEiyMdOAFYYVQGj8/XWXMsVTOltylg0xpWBaGhMmYNO7nytpSmuw4vzCfQhpfqrcUVpdgIc+wUM8tycov3woLNwmYvVgYSzdp8kvDkvsfhVRfWNDDko6W8sf8WTsgwtzE/FiSK/KpvLO4LAyzqxRL8fOTK+ot1dNSeLE8pXmyFP6vgqXy+VxZ/Dv5VN2TkZGRkfnHkCe6Mn8rxOqek5MDIoKzszOMRiMyMjLg7OwMa2trHi4jIwO2trawt7dHbm4u1Go1AMDa2houLi4fDf6MRiOysrLg6OgIa2trPohSq9XIzc3laSsUCtjb28Pe3p67iWRnZ0On08HFxQVKpdJMH71eD0dHR9jb2/N0tVot0tPTYWNjAxcXl48GbjIfIw7CNRoNcnNz4ebmxsssLy8Per0eTk5OMBgMyMrKgr29PRQKBfR6PRwcHD6SkZ2dDTc3NygsrLLl5OQgLy+Ph2f+VlZWZmUm3iBJS0sDADg4OPDyZnEskZWVBYVCAScnJ+6Wm5vL61B2djbXh6UhTR/CADstLQ0GgwH29vZwdHT8aEInhYiQlpYGBwcH2NnZcX1ZHFE/0XaZmZlQKpVwdHQ0k6fX65GZmQmj0QhnZ2fY2tqa+f9R3L9/Hx8+fECjRo2gUqm4u9Fo5OkTEVQqFQoUKABYmNjl5OTAaDRy2zMbGY1GpKenw2g0fnTdMhuw8EQEvV6PnJwcGAwGQCh7Jis3NxdarZbrAACurq5QKpW8fNLS0uDo6AhbW1uzOmgJg8GAzMxMXlYAoFQq4eLiAoPBgNzcXDg5OUGpVAIAtFotcnJyUKBAAX6daDQauLi4cJl5eXkwGAzcFmJZ/9Vgbb/RaITRaISrqyuvA9Iy/k/AbEVEyMjIMDu3sbGBs7OzJIaMjIyMTL6QjMzfEKPRSLNnz6bvvvuOiIjev39P9erVo1GjRpmF69WrF+3Zs4eIiNauXUu1a9emBg0aUKNGjWjUqFGUmprK5RERnT59mqpXr05BQUFmcvbv309169alhg0bUsOGDalevXq0d+9es7gio0aNoho1atD169eJiCgrK4u+//57atiwIQUEBFDbtm3p9u3bRET06tUr6tWrF9WrV48CAgJo+vTpZDAYzORZSuPvDrOJXq+nWbNmUb169ejKlSvc/9y5c/TTTz8REVFycjJ17dqVrl27RqGhodS8eXPKyMgwk7NmzRrq378/6fV6M3fGr7/+Sv7+/tS4cWOqX78+NWrUiOrXr09du3alzMxMszipqak0ceJEql27Nvn7+9OgQYPow4cPFuUy9Ho9jRkzhtdpIiK1Wk09e/akK1eu0MmTJ8nPz4/XwYYNG1L9+vWpffv2lJiYSETE6012djbNmDGD6tatS/7+/tS5c2d6+fIl0SfSJyI6efIk1a5dm8aOHUtqtdrMLzY2ltq0aUOtW7emp0+fcneDwUCDBw+m5s2b09u3b83iTJo0iV9zbdq0oQcPHpj5W9LFkpsUo9FoFm7atGlUt25dSktL4/5ERImJidSuXTtq0KABNWjQgBo2bEg//vgjLwuRKVOmkL+/P927d49IkLFw4ULy8/OjBg0aUJMmTejcuXNm/tLjJ0+eULt27SggIIAaNGhArVq14nFycnJozJgxVLduXWrUqBFvD0S77du3j6pWrUpHjhwxk52fXd6+fUstWrTg+atfvz5169aNNBoNbd68mWrVqkVHjx7l4SMjI6lnz56kVqspJyeHhgwZQm3btqUXL17wMDt37qSff/6ZnzNEXfLT5z9NdnY2tWzZkgICAiggIIBat279ybbZku7S8/zcKB93USb7z8nJoY4dO/K2wt/fnxYsWGAWx9K/9Fg8z+//c4jhRV1lZGRk/urIE12Zvy19+/altm3bEhHRixcvCACpVCo6fPgwD1OyZElatGgRERGNGTOGypcvTxEREbRp0yZydXWlb7/9loc1GAw0cOBAUqlU1LhxYz4JJiJatGgRlShRgq5fv043b96ka9eumQ1OxcHDoUOHyMbGhgBQcHAwj+/i4kLHjh2jiIgIqlmzJvXt25dyc3OpS5cu1KJFC7p79y79+uuvZGNjQ8ePH+eymXwZc5hNNBoNtWvXjgBQYGAgd9+5cyc/T0hIoOLFi9OxY8fo7t27pFKp6LfffuOysrOzqVixYjRnzhwz+aLdnz17RlevXqUbN26Qq6srjRs3jiIjIyk8PJx0Oh2PQ0R0/vx56tevHx09epTWrVtHKpWKT7rzK0utVktNmzal1q1bc7f09HQqVKgQ7du3j9LS0ujq1at0+/Zt8vX1pd69e9OdO3coLCyMT0qZ7AcPHlDv3r1p165dtHPnTnJycqKuXbvmmzZj/vz5BIAAUGRkpJnfkiVLSKlUkrW1NV2+fJm7nzp1ilxdXcne3p4OHjzI3Q8fPkweHh60adMmunHjBg0bNoyOHTtGZNJTejOH8c/4zZo1ixo0aEDp6ek8HJluIjk7O9PatWvp1q1bNG/ePCpevDg1btyYkpKSePz79+9TsWLFyN7e3myCFxYWRkWKFKH58+dTREQEfffdd7R+/XqeBktHtGt4eDh5enrS2rVr6fbt29SyZUvy9vam1NRUysrKooCAAGrXrh2Fh4fTtWvX6Nq1a7z8dDodde7cmezt7alu3bqUl5dHZGqbLOWbiOjp06dkbW1Nc+fOpVu3btG1a9coIiKCiIgmTJhAAMjHx4dycnKIiOjixYtUunRpysrKopSUFCpTpgwBMLvBMn/+fBoxYgQ/lyK9Nv5MMjIySKVS0eLFiyk0NJQ6dOhADg4OdOfOHWlQIklZsfokdZPyufyK9YAdZ2ZmkqOjIy1ZsoQiIyPpypUr9OTJE0nMf5789MmvnljSUUZGRuavjuX9bzIyfwMUCgXfjmdlZQUrKyt4e3tj6dKlSE1NBQDY2NjwbWwKhQKurq7w8/PDN998g/bt2yMyMhJZWVkAgISEBBw/fhxLly5FeHg4Hj9+LKT2v9sLGzRogHr16qFhw4YoWrSo2XZBhUKB7OxszJ07FyNHjjTbKpecnAxXV1fUrl0bfn5+qFSpEjQaDWJjYxEWFoYBAwagRo0amDBhAho0aIDg4GAe9z+57e7/E8wmCtOLoqpXr45jx45h586dgIWXkVlZWUGv16NatWqoW7cu1q5dy/2ePn2KxMRENGjQgLuJW1eJCKVLl0ajRo0QEBAAOzs7lC1bFrVq1ULt2rV5PYSpvBo1aoTt27ejS5cuGDRoEOrVq4f4+HgexhIK0/ZgceutUqnkW4hdXV3RqFEj+Pv7o2DBgihSpAhq1qyJunXrfrTFtUKFCti1axf69++PAQMGoF+/foiLi+N1NT+USiUKFy6MSpUqYevWrdxdo9Fgz5496Nq1K9+Ozzh//jxKlSqFb7/9FqtWreLu169fh8FgQJMmTVC/fn1s2LABnTt35v5WVlbQarVYv349+vXrh+7du+Pbb7/Fu3fvYGVlhUOHDmHevHn4+eef0a1bNwwfPhwvX76ElenZ2Hnz5qFLly4YOnQooqKiYG1t/dF1wupG1apVUadOHfz000/YvXs3rl+/jiNHjvBwV69ehZWVFWbMmIE1a9ZAp9MBAO7cuYOkpCR89dVX8PPzwy+//ILhw4dz2RC2qjKsrKygUqng5+cHf39/9OvXD9nZ2dBoNLxOlihRArVr10bDhg3RsGFDvqX73r17uHnzJubNm4d79+7h4cOHgFA3LKFQKGBtbY0qVaqgTp06aNiwIfz8/ACTbl5eXrCyssKKFSsA4UVbTBdra2tUq1YNO3bsQHR0NJfJ0svLy8MPP/yArl27YuzYsXj79m2+ef+zUCqVKF++PAICArBkyRLk5uYiOzsbALB9+3b069cPXbt2xdChQ5GWloa7d++ib9++uHLlCrfDwoULsWvXLigUCkRHR2PAgAHo0aMHhgwZgvj4eCgUCuzevRtLly7FzJkz0aZNG7x+/VqiycftUrly5VCrVi00btwY5cqVQ2pqKgYNGoQjR46gS5cumDJlClJSUjBp0iQEBgaiR48e2LRpE4gIGo0Gw4cPx6FDhzBmzBh07NgRmzdv5vLfv3+PiRMnolu3bhgwYABiYmJgZWWFZ8+eoW/fvvyaYmX2VykvGRkZmS9FnujKyJgwGo2YPXs2YmNjcfDgQTN3mAZ0aWlpuH79Ok6ePImbN2+iYcOG/Jmp4OBgVKhQAR06dEClSpUQEhLCZVhbWyMlJQWHDh3CoUOHcO7cOWi12o8Gn3PmzIGHhwdGjhxpNvEYOXIkjEYjRo8ejTVr1uD+/fv45ptv4OLiAr1ejw8fPnAZDg4OyMnJ4efyAMUyok30ej3q16+PoUOHYv78+YBp8AuJ/YymZ1pr1aqFx48fIyEhAQDw66+/okmTJmjatCmXzcqP/UQZzJ+di4NbhUIBGxsbWFtbAwBSUlLw+PFjFC9enMvOD6VSibdv3yIkJARHjhzB8ePHkZWV9VEcg8Fg5sbSZSiVSp5/jUaDa9euwcfH56PJvxSdTodChQqhZcuW+P3335GUlAQAuHTpEogIDRo04M+eAkBSUhIOHTqERYsWoXr16nj+/Dmf0A8YMABKpRJ9+/bFxYsX+XOpECYDSUlJuHLlCooXL462bdvi7NmzmDZtGgAgMjISM2fOxKlTp9CpUydcvHgRs2fPBgDs378fy5YtQ926dVG8eHGcP38eer3+I/nMRsyPiNC4cWPUrFkTV69eBUx53rlzJ7777jvUrVsX6enpuH//PgCgXbt2KFu2LAYOHIjg4GCz61JaJiIGgwGhoaEIDQ3FhQsXULNmTXh5ecFoNMLa2hpPnjzB8ePHceDAAcTExHB9Q0JCUKFCBfTr1w81atTg7Zi0nbHEtWvXcPz4cRw8eBBxcXGAKd+VK1fGqFGjsHr1ajx9+hQ2NjY8jpWVFQwGA3r27Al/f3+MHz+e+7E0J0yYgMOHD6NXr15QqVRmk7sv0es/gcI0Ob1x4wZWrFiBevXqoWrVqkhNTcX58+dRokQJtGnTBmfPnsW4cePg4+ODkJAQREVFAabnltetWwe9Xo+EhAT07t0bSqUS3bt3R1RUFH788UcAQEREBL7//nucOnXKrA1g7YNoD4VpohsdHY2wsDBcuXIFiYmJyM7Oxs6dO/mkW6fT4cyZM3j+/Dk6deoEX19fTJw4EeHh4SAiHDhwAH369IFCoUCZMmUwYsQInD59GgAwbNgwHDlyBC1btoS9vT02bdqElJQUdO7cGXq9Hj169EB0dDRGjRrF9fpUvZWRkZH5yyFd4pWR+bvQr18/6tChAxERxcXFEQC6ffs2/fDDD1S2bFnKycmhihUr0i+//EJERD/88AMBoFKlSpFSqaTAwEBKTk7m8ho2bMi3682ZM4fKlCnDtxSuWLGCAJCTkxPZ29tTw4YNP3rG88WLF1SzZk0KCwuj5ORkAkAnTpzg8seNG0cwbQtt2LAh5eTkkFarpcDAQCpcuDD16NGDAgMDyc3Njfr27cvjyViG2V2r1VLr1q1p9OjRfAvq7t276fDhw9SrVy8iIkpISKCSJUvyrbXPnj0jNzc3OnHiBOl0OvLz8+Pb2NnWPvHHtgMajUbS6/Xk6elJq1evJjJtFXzz5g29fv2aXr16RcnJyWbbAydOnEgeHh70+PFjHt4SOp2O2rdvTwDIxcWFXFxcyMnJiQDQgQMHiIQ816pVi8aPH8/d3r9/T69fv6bXr1/Tu3fvzLZjrly5kmxsbOjs2bNmMiyxYMECKlWqFN27d4+8vLxo27ZtRETUtWtXGjhwIJ0+fZrs7e3p6tWrREQUEhJCzs7OFBMTQ4mJiVS6dGlat24dl3f16lVq164d2dvbU48ePSglJYX7iTbKzc2ltLQ0mjx5Mnl5eRGZrldfX1969uwZERGtWrWKChUqRB8+fKCOHTvya59MjyXUq1fvo2uSbV0Wt1qTqe3w9/cntVpN0dHRVKBAAbpw4QIZDAaqW7eu2TbeqKgoGjBgANnY2FDTpk3p+fPn3E+sI4zIyEjy8PAgDw8P8vHxIaVSSXXr1qW3b99Sbm4uNW3alACQs7MzKZVKWrZsGZGp/MuWLUtLliwhIqKvv/6a6tSpQ1lZWVy2JZ49e0bOzs5kZ2dHzs7O5ODgQPv27SMyvSugYcOGlJubS0WKFKHZs2fT9evXqVy5cpSdnU2pqalUsmRJWr16NR07dow8PDwoNDSUli5dSiNHjiQiom7dulGlSpX4Vm+WV2m+/ywyMjLI2dmZ3N3dqXjx4mRlZUUlS5Y0u95yc3MpOzubRo0aRaVLlyYy1Zk6deqQTqejw4cPU4UKFejNmze0fv168vT0pJcvX1Jubi4tWbKEnJ2dKS0tjSZNmkQFChQwe0adIbVFVlYWFSlShOzs7KhAgQJka2tLc+fOpXfv3hEA+vrrrz+Km5OTQ1FRUVSuXDmaP38+6XQ6srOzo9GjRxMRUVpaGjk6OtKqVasoMjKSP47BZOTk5ND8+fOpZMmS9OzZM8rKyqJNmzaRl5cX3bx5k4eT6iojIyPzV+XTt+dlZP4miKtrY8aMQV5eHtasWWN2h12j0aBWrVqIiYnBlClTcO3aNf4W5oiICMTExODx48dYvnw5Hj16hFevXuH48eOA6Y5/xYoV8e7dO6SkpOD8+fNwcXExu4u/cOFC5OTkIC0tDWfOnAEAhIaG4t27d1iwYAHOnz+Pw4cP48qVK8jIyECvXr1gNBqxdetWTJ06FYUKFUJAQAAqVKhgtmomrhzI/B/M7uxfr9ejatWq6Nq1KxYtWoRXr17xFUy24sJW90uVKoVKlSrhyJEjuHr1Kl69eoWxY8fysJZ+bOWW/RhGoxFDhgxBkyZN0KhRI6xfv56HOXLkCPbs2YMFCxagfPnyoHw+xcPO1Wo12rVrh4yMDCQlJeH58+coUqQIX5Fk6Yr1TqFQYO7cuWjUqBEaNWqE6dOnQ6fTQaFQ4MqVK1iyZAl+/PFHtGrVykyGJYgIBoMBRYoUQbt27bB582aEhobi1q1bGD9+vNkqOQAcPHgQTk5O2LVrF7Zv347MzEyEhITwt1M3atQIISEh2LdvH37//XeMGzeOp6NQKKDT6bBlyxa+JXzz5s1wcHAATHYtWrQoPD09AQAqlQoqlQoajQY5OTlmb3j28PDgK+gioo1EoqOjUa1aNdjZ2fEtzCEhIVi+fDnS0tJw7tw5JCYmAgCqVauGnTt34uLFi3j79i2+/vprLkcqFya9bWxssHv3bsTGxiIyMhLx8fFYvXo1bGxsoNVqMXjwYKSmpiIzM5Pb5N69e4iPj0doaCiWLl0KnU6HqKgohIeHS5P4CL1ej40bNyI1NRUfPnxAYGAgILyZ297eHkuXLsX69esRGhoKlUoFK9MWcCvTW+U7d+6MevXqYfbs2cjMzOT1dOLEiShUqBDKlCmDsWPHcrtIr4M/CyKCVqvF6tWr8fr1a0RERMDW1hZLliwBAGzatAmNGjWCn58fdu7cyd+A3b9/f4SHh+POnTsIDg5GiRIlUKxYMWRmZiIxMRFt2rRB9erVsW7dOpQuXRpWVlbQ6XQICAgw253BrmOpLRQKBfLy8jBlyhQcO3YMR48exeDBg/nOhm7duvGwjx49wsCBA+Hv748uXbrgxYsXXIbBYEDNmjUBYUeKUqlESkoKFAoFypYty8M6ODhAo9HgzZs36Ny5M2rWrIklS5bwt3rLyMjI/H9DnujK/C0RB/qQTHaKFy+O0aNHY9WqVYiLi+MdPBvU2djYYMyYMXB1dcXy5csB07Y/tVoNPz8/vHz5Ej4+PnB0dMT58+d5XGtrazg5OcHe3h52dnZm6ep0Ov7plcmTJ2POnDkAgK1bt+LcuXMICQlB+/bt0a1bNzRu3Bi//vorQkJC8P79ezg5OWHixIlYv349BgwYgLy8PFSuXBkQtl0zHWT+D9EeCtNEFACmTZuG9PR07NixAyqVyiycOPEdOXIkTp06hYMHD6JixYqoWLEiD5ebmwuNRsPP2aCeDWxFmUqlElu3bsWxY8dw4sQJjBw5EgBw4sQJTJgwAfPnz8e3337Lw7PPwTB9pflgOtra2sLBwcHihEJ6Pnv2bJw8eRInTpzAkiVLYGtri5s3b2Lw4MEYOnQo3/ILU3qZmZlm23lFP5jyNGjQINy7dw979uxBxYoVUatWLT6BViqVSE5Oxu3bt1G9enWo1WokJCSgbdu2OH/+PF68eAGDwQCDwQCFQoHOnTvjq6++MhvAA8DFixcxZcoULF68GBcuXECvXr3MPuGk1+vNbvqIccXyYZ+XsTTpUEiee75//z5evHiBJk2awGg04sKFC6hQoQLfNt6iRQs8ePAAd+7cAYRtzw0bNkTXrl0RFxcHjUYDg8HAP3EGwXasbXJxcYFKpUL16tXh6emJxMREXnfs7OxgbW0NBwcHPkHfu3cvnJ2dUaZMGbx+/RqFChVCwYIFeRtkNBr5Z4vEOsiO2SfRHBwceJsnth/du3dH+fL/w955hlV1rA373rQNCEgXEQF7LKix995b7L1GTdRYYmyJiUbTTGyJsSb22GLsPRo7dsWOFVEUFFQElLrbfD/OXussthtjznve9zs5zn1dXOw188wzs2atKc/MrJlSfPvtt2RnZ+d6r5T/kydPZt++fWzZskVNV506ddi3bx8bN25kxYoVufYP+E9CqZMrVKhApUqViI+P5+DBg3zzzTd89tlnHDx4kE6dOpGdnY0QgkqVKtG2bVvGjBlDdHQ0ffv2BWt+BgcHs3nzZnbt2sWBAwfYtGkTXl5euQa7sOabclyT8hy0z8VkMvH222/ToEEDWrZsSeHChXM9E4V58+Zx+PBhNm3axOrVq1U5RZfyzbg2XmdnZ0wmk7ofhYLBYCAsLIytW7eya9cudu/ezb59+6hcubKqT1s+JBKJ5D8ZaehK3jiUjqTQzNDZNtz9+/fH09Mz19m3Fus5iwAFCxakadOm7N69m2vXrjF79mw++OADZs6cydy5c/nuu+8YNGgQv/76K/Hx8ej1ep48ecLSpUtZvnw5S5cu5cqVK6AxglevXs3ly5e5fPkyBw4cAGDOnDn069cPHx8fjh8/zqFDhzh+/Dg//fQTFSpUwNvbm8jISH7//Xd2795N79698fT0ZNy4cWq60RhakpdROoRKJy4oKIhhw4Zx6dIltYOo+Gs7meXKlUMIwU8//cTAgQPVjn1qairdu3fP9Z23bQdRWGc+FUJCQihfvjwVKlTA19eXI0eO0KNHDwoVKoSHhwfLli3jt99+Q6fTcevWLapWrfrSRjY6q7FuO5tvNptfMoq177IQgoCAACIiIihfvjz+/v5cvnyZDh064OrqSvHixVm5ciWrVq0iLS2NlJQUKleurBpy9vQajUYqV65M5cqVWbBgAT169MiVHgcHB7Zs2cLDhw/5+eefmT17Nj/88ANTpkzBzc2N3377je+++44PP/yQtWvXMn36dPbv30/dunXVeLCeTaxs0nT79m0OHDigGqW2ZdtsNmMymfDy8qJevXqcP3+eDRs2MGvWLDZs2GD3+2PlvrZt26bOrDdq1IiOHTvSt29f9u7dy9GjR5kzZw4zZ87khx9+4Ntvv6V48eKsW7eOZcuWMWjQIFatWsW8efNYu3YtNWvWRK/Xs2rVKvr3709OTk6usqmzzlRv2bKFNWvW8MUXXxAbG0u1atUQQuDo6MilS5dYtWoVy5cvZ9WqVURHR7Njxw6GDBnCzJkz+fHHH/nhhx/o0aMHS5YsITU1lRUrVtC3b191QE17jzqdjt9//51Vq1axdOnSl95di8WCXq9n5MiRPHv2TD3f1fY9rlKlCu+++y5XrlxR4/jtt9/YuXOneh65PUPt/zc6nY4//viDdevWMW/ePDZs2EDLli0xGAxqHRAXF8epU6dwcnLCbDbj7OxMjRo1OHbsGBkZGbRs2RKAatWqYTAYOHjwINnZ2cTFxbFp0ybQlA9tHkydOpXBgwfbrZ+VugnNu6j816Kzftfv7OzMsWPHuHv3Lo6a89e1/00mEzk5OdSuXRtvb28mT57M6dOnmT59OqNGjaJdu3akpaWxdOlSjEYjsbGxHDx4MFd5spcGiUQi+U/k5ZZdIvkvR+lQ+Pr6EhQUpLoFBgaqG60UKFCAESNGEBAQgLe3NwD+/v6qPNala5mZmVy4cAFXV1eaN2+u+gEMHDgQvV5PdnY2vr6+ODo6MnnyZCZOnMgnn3xCZGRkLnknJyecnZ1xdHREr9dToEABfHx8wDpiX7hwYd577z0GDhxITEwMv/76K/nz52fdunUMHTqU9957D4PBwJYtW9SddnXSwP1TlGfv5+enur333nvUqFEDPz8/dNZdaYODg/Hw8FBlIiIiaN68ORUqVKBOnTqqe2JiItHR0epMnq3BpdPpKFSoEPnz51evFaNB6UA+fvwYDw8PEhMTGTNmDBMnTmTatGmkpKSQmJjI7du37RoMBQoUoGDBguq1TqcjJCQkV7qxGvPKu4XGkFfiT0tLw9nZmaysLD7++GM++eQTJk2axPXr18nMzCQmJka9Py2+vr4UKlQIBwcH8uXLxzvvvEOFChWoUaMGAG5uboSFheHq6sqLFy+oUqWKuowTICwsjO7du3Pq1Cm6du3Knj17GD58ON988w09evTgyy+/1MQGLVu2pFu3bgwcOJBPP/2UQoUKqffv6+tLgQIFVAPWy8uL0NBQLBYLI0eOpHjx4owcOZIVK1YwbNgwwsPDc63ewDozXaxYMVavXs1HH33E6tWr+fzzz9Udt9PT0ylbtixlypRR0+Tp6cmAAQO4cuUKjRs3Jjo6mhEjRvDpp59SuXJl5s2bB9bPErSzacr7odfrCQ4OZtWqVYwfP5558+Yxbdo03n//fYxGIyEhIdy9e5ePP/6Yzz77jIkTJ3Lt2jWeP39OmzZtVH1YN8PKnz8/KSkpHDp0iIcPH75UHzg7O1O0aFF27drF+PHj+eyzz5g5cybZ2dkEBgZSoEABNUy7du3o06cPBQoUwNG6YZkyGKMwfvx4SpYsqb7fkZGRDB8+nEGDBlGpUqVcgx7/CeismzRt3bqVMWPGMGPGDCZMmMCQIUNo3Lgx3bt356OPPmL8+PE4ODgQEhKi5sf7779Pvnz56Nq1K76+vgA0aNCABQsW8N1339G/f3/effddtV3x8/MjICBAfSfNZjPR0dGkpaWBTZ4ocSlLpZU4nZyc8Pf3V3faxprnvr6+dOzYkU2bNlG9enU8PDxwcHCgcOHC6oaJjo6OFClSBHd3d5ydnVm0aBFpaWn069ePH374gUaNGlGrVi2+//57Fi1aRL9+/RgxYgSJiYnqQJ7SrkgkEsnfAZ34T2ltJJL/A5RG2va1Vzr5imGoNOQWzY64tg28zvr9k+KmhNPGYbF+E6Wg+Cnu9tKi+GuvFTnFuHDSHIVisc7i6TTHJWnR3pfkn2ifuXKtzSfF38H6LaK95688J+0z/u6779i4cSNHjx7Fzc1Nfb7aZ21Pr+Kv/FdkFRSZjh07EhQUxPz583OlR6vbnruSRlsDWZHVpk/5rbz/ik4HBweGDh1KfHw8GzZsUAdUFLS/tfEp96rIaHUq8dvq0boL60ymrRzWtCpLop2cnHKlWRuvElZ7vyaTCQfr0WK296qVV9KglFnFT8Gem1aPolv5e/LkCbVq1eLrr7+ma9euqn4lLq0O2zi1dZI2HuVPCa+Vefr0KU2bNmXgwIEMHz78pbjsxam9VnRp70eRUeoeJa8VvYoei3UGU1hXrug036trdf7/QEmvUia0adLet8lkUtOv5JWDgwMXL16kYcOGLF68mM6dO+fKe+3Se2WVgTafdTodUVFRvPPOO6px+qpnq6B9TxU9yj2YTCYcHR1fen62cgrKMzMajTg5OeUKZ7GuzHB0dMxl5Cr8/3xuEolE8rrIGV3JG4W2I6NtqB2sG3RoG3rFXZHV/lbCKmG0nVEtjo6OucIof4o7mrRo9So6tenRWTtMSmdR2+FycnJSOyOKrPa3vbS96ehsnqmS19qOoTb/7T1/22dkMpnIzs5mxowZuWZiFHnbuBQ3e7+174ASd3p6Om+99RZjxozJJavtEGvfRe219n1R3LT3pMhrfyvvt/I/KyuLoKAgvv7661xGrjZu2zxRfit6tXFjk9/Kf20YJX4FJS5tWpVygR39tnq14bSde1s/bRxKGhQ/W7222Mal5J8ie/78eXr16kXnzp1Vedv4tHFqDQytLkVGuQetLm2Y2NhYateurZ7hix0D2TZO7Z+iV0GJT1iN2bzyWpFVVqtow2t1//9CiV+5h7zuV0m/Np+wfhddqlQpmjRp8lIYR0fHXOewK/7aOB4/fsyYMWOoVq0a2KljtLLa8mubDsXdxcXlpednT07xU94BFxcXu/Ho9XocNUug0dyDRCKR/B34yzO6Fs3s0V9BqVDzuv53o+j/347HFm28WBsFbcMhNEsElev/H+mUSCT/OygdS3tLe/+nCM2sknZm5v8KJX6sM3mSfw0lH5WZzv8LHB0d/0/j+2/H0dGR69evYzAYqFChglre/2o77uTk9L9SV0gkEsn/Fro8VhD+J/KXDd3nz5/z5MkT1VCzh9Z40xp0tvzVBuF1UOLRGo//l0akzs6yUzTpsnWz9f+/SqdEIpFIJJJ/He2glmzDJRLJm4Cw7vxfqFAhW6//SF7b0FWMstTUVBITE1UjN6/gioGp/OYVsv9uFGPz/9rItUVraGtnbxU/BW1eSSQSiUQi+XugtOuyHZdIJG8CQgjc3d0JDQ219fqP5F8ydJOSklSDzZ4RqajMy5hTGgV7vGZyXomwblyiHGNhu8GDgj03e/G/rpw9lOViZrNZnebXpsdiseDs7PzKZYD/k/j/CvbikUgkEolEkjdK/0j5L5FIJP+tCCFwc3PLdWLCfzKvbegqPH/+nEePHuW5HBmNEabX63NtkKPsCvi636MoDYa2EbH1t21glP8JCQkEBASo2/prG6C89GEnTuW3LQ4ODuqB69pvlrUzyY6Ojjx48AB/f3/c3NxUY1ZnNfQtFguOjo7ExMQQGhqq5pU2bXmlU4uTkxOOjo4YDAbIo9G1p0PxIw9/iUQikUgkEolEIsFqL7i7u/9tDF37H9m+AsUg+jPDSK/Xs3HjRvr27cuAAQPo168fgwYN4vTp0+j1eoTNuY3a/9rfyveu2hlPRcaiOXhdudbr9ezYsYM2bdrwzTff5PK396fVqRiHii6tjNbgFEKQnZ3NzZs3SU1NzRW/gqurK1u3bqV169ZMnTqVnJwcdTdERd7V1ZUDBw7QsmVLpk2bpu5iqk2Xkg7bpeKKnE6nIykpidu3b+cyupVw2jRp9SrX2vu01S2RSCQSiUQikUgkf0f+sqH7ZyizlXq9niNHjnDo0CGOHj3KyZMnOX78OI8ePcLJyUndzl5nPTLF2dlZNdyUmWDlyAghBHq9HhcXFzWsi4uLKu/o6Iher1e38S9cuDDe3t4UKlRIne10dnbGYj37T6/Xq4ajg3VLfiUNSpyurq650qk1GF1cXLh+/TrNmzdnzZo1uLu7g/WIC0WXTqcjLCwMHx8fQkJC1MPdlXtwsh5rERAQQOHChSlZsiQmkwlnZ2f1Xp2dnXF1dVXj1+l0uLq6qvHo9Xr0ej0zZsygbdu2ZGRkqPni7OyMg+Y4CyVNWGeAlTi0967koRJWGrsSiUQikUgkEonk74jjlClTptg6voqcnBzS09NVo8ke2pnV27dvM2vWLL788kv69OlDREQEFy9eZMOGDYSHh+Pt7c3FixfZuHEjRYsWJX/+/Jw7d47ffvuNs2fP4u7uTkhICDExMaxfv55Tp05x+vRpnJycCA8PJz09nTVr1pCWlsbJkye5ceMG9evXJy0tjYoVK1KwYEG2bdtGbGwsZcqU4cWLF2zcuJGHDx9SsmRJzp49y5EjR8jIyGDXrl1cvHiRwMBAzp07x65du4iNjaVo0aI4Wc8udXR0JDExkeXLlxMdHY3ZbMZkMhEQEMBvv/1GWloaJ06c4PLly9SvX5+srCzKli1LsWLFyMjI4MiRI+zcuZNbt27h5+eHk5MTBoOBiIgIChcuzPLlyzEajURHR7Nt2zYSExN566231Lw9fPgwe/fu5dixY/j7+3Pp0iXWrl1LSkoKAEFBQaSmprJ+/XoKFSqEr68vFy5cYMuWLeoS6qVLl6LX6zl58iR79+4lMzMTnU7H7t27OXz4MHq9noIFC2qeqEQikUgkEolEInnTcXZ2Jn/+/LbO/5H85W9009LSSExMfKWhK4TAy8uLwYMHs2vXLhYvXkzjxo3JycnB1dWVJUuW8PXXX7Njxw4qVapEnz59OHjwIHv37iU2NpYPPvgAf39/hBAUK1aMLVu28P7777Njxw5CQkJ49OgR3t7ebNu2DQcHB5o1a0ZGRgYWi4UqVaqwaNEi6tWrR40aNfj2228ZOHAgHh4ebN++nT179tC3b1+aNGnC4sWLmT59OgsXLkSv15OTkwNA8eLFefjwIZmZmQB89NFHjBw5kuzsbNzc3Dh69Ch9+vRBZ13OXLx4cb755hveffddsrOzMZlMlC5dml9++YUmTZoQERHBnDlzmDdvHsuXL8fDw4P09HS6d+9O48aNGTx4MK1atWLu3LlUq1aN5ORkVTfA8OHDmTBhAnPnzmX69OnqjGvZsmUpWLAgu3btUuVnz56Nm5sbQ4cOZc2aNdSrV49vv/2W+fPnM2fOHGrWrEm1atVwtm6AZbFYcHd3x8/PjwcPHoB1Rnz9+vXqM5BIJBKJRCKRSCRvNuK//Rvd18HWCP7www+pUKECdevW5fTp0+oGUYqssgmTi4sLFy9exGKx0L59e3bt2sWiRYvIysqiR48enDhxgj179jBixAiePn3K+vXrcXd3R6fT4e7uzqJFixg1ahSZmZk4ODiouxw7Ojri6OiIyWRSZ2aVNCoyvXr14o8//iAgIIDY2FimTp3Kb7/9BsD+/fvJyclBp9ORk5ND9erV+eGHHxBC0KdPHzZu3EhISAhmsxknJyfmz5/PJ598QkZGhro0+vHjxyxfvpzy5ctz7Ngxdu3aRevWrVVD0sF6Hp9Op8PFxYVly5axdOlSAA4dOoSLiwtbt27F2dmZrVu3curUKbp168a0adOoXbs2Op2OHTt20KFDB4xGo5q3im7lv6OjIw4ODnh7e7N9+3Y++ugjMjMz8fX1JTIyko4dO/LgwQPOnDmDs3UpuEQikUgkEolEIpH8nfhfMXSVb2cVSpcuTZ06dahTpw7FihXLZdwJ6+7EWJdFt2jRAl9fX37++Wfef/99Lly4oBqnU6dOZdiwYezatQsAk8mEg4MDZrOZ4OBg3nnnHerWravOzGKzaZNi8GnTpmxyVblyZYoWLUrp0qXx9fWlUaNGeHp6qnJoNqRydnbGy8sLADc3N3x9fcG6ZNvPz4+WLVtSv359dXdpnU5HTEwMWGeLAwMDKV26NE2bNtVo/+fmUP7+/nTu3JmQkBCwbmx15swZEhISqFq1KkWKFMHLy4sePXrg4eGhDhz4+fmht270hTV/bQcdsKazcOHCNGvWjAoVKgBQqlQpSpYsScmSJVUZiUQikUgkEolEIvk78r9i6CrGp8LQoUNZtGgRM2bMIDAwUDUAMzIy8PLyUmcgs7KyqF+/PocPH2b06NHExcUxfvx4jh07xvDhwzl//jxdunShUaNGYDUglU2ahBAYDIaXZjOV2dsXL16Qk5ODh4dHrp2MFaPQZDJhNBrV8NnZ2aqfogPNzsXK/SkbXSmz0haLBaPRiMlkUg1snXWDLYD09HRcXFxwcHAgLS0NLYqssO7qrBibZrMZd3d3XFxcSExMRAiBh4cHT58+VY1jnfX7YWfrpl4AT548wcPDQzX8FaMfazpzcnLUZ2EymbBYz/tV0iKRSCQSiUQikUgkf0f+7YauYngps7RoZgcVQ0pZEjt79mzGjh3LiRMnwDpz+fPPP7Nt2zY6depEcHAwJpOJ1NRUnj59SpUqVWjSpAkXL14EqwGoGIZao1L59tRsNuPo6IibmxuXL19mypQpfPvtt6CZTVbQ6tKmF5tZYUVGub+zZ8/y008/8fDhw1zGoaJbCIHJZKJ48eIUKFCAkydPMnnyZD788EN+/PFHVV4xvrUGskJOTg4VKlSgWLFixMbG8s033zB+/HgmTZqE2WxGr9djNptZsmQJUVFRqtG9YsUKxowZw8aNG9V026JNp/KHJj8kEolEIpFIJBKJ5O/Gv93Q1Rqbvr6+qqGpnZ1s2LAhlStX5tSpU6xZs4batWuTP39+HB0dMZvNTJs2jXr16nHv3j3GjBlDtWrVaNu2Lbt376Zy5cokJyfj6uqKv78/Op0Ob29vfHx8VCPVxcUFHx8fAgIC8PHxoUuXLnh6erJs2TIyMzMpWbIkHh4eCOsH1d7e3nh5eaHT6fDw8KBAgQLqETwBAQG5liYLITCbzVSsWJGyZcty7tw51q9fj6OjI4GBgQQGBqqGqpOTE97e3nh7exMSEsKnn36Kp6cnCxYs4I8//sDX11fdtSwwMBAAHx8ffHx8MJvNuLi4kC9fPgoUKEBmZiZjx46lVKlSrFmzhl9//RUfHx+cnZ1p3749er2exYsXc/PmTapUqUKtWrWIiopiy5YtlC5dGg8PDzw9PXFwcMDLy4v8+fNjMpnUY4b8/f2xWCx4e3uTL18+8uXLpz4ziUQikUgkEolEIvk78b+267KTkxOJiYmkpaUREhKCq6urOsPq5OTEs2fPuH//Pq6uroSFhXHv3j3CwsJwdXXlzp07pKen4+HhQXh4OM7OzqSmphIXF4eDgwN+fn68ePGCwMBAPDw8iIuLw9HRkbCwMCwWCyaTifj4eNzd3QkICMDV1ZUbN26QmZlJoUKFMJlMmEwmgoKCSElJISUlhaCgINzc3Hj06BEWi4Xg4GDMZjPx8fHo9XqCg4Nz3aNOp+PJkyckJibi6elJcHAwCQkJODk5qd/WmkwmEhIScHNzIyAgAL1eT2xsLKmpqXh4eBAaGorZbObevXuqYR4bG4tOp6NYsWLk5OQQFxdHvnz5CAoKwsHBgcePH5OUlIReryc0NBRXV1eMRiP37t3DYDAQEhKCr68vT58+5cGDB+TPn5+AgADu379P4cKFcXFx4e7du7i5uREWFsaLFy+Ij4/H19eXgIAA0tLSePz4MUFBQepggEQikUgkEolEInmzUSYJ/y67Lv+vGLoK2t2OLdbvSJX/2u9JjUYjTk5OGI1GhBDqN6zC+t2txWLByckJFxcXdUmyg4ODqldZCm0wGNQZZScnJ4RmKbBer8fBwUH9Bhfr7LKy0ZUip6TJZN3oytHRUb1Gs9GWIuvk5ITF+l2u9n4UnJ2d1TQr18rMtaLTxcUFk8mkzuJivRfFTzHeAZycnNR7MxgManqcnZ3R6XRqfilpM5vN6n0q6XK2Hi1kti5PVq5NJpM6EKHkrUQikUgkEolEIpH81xu6qampPH78GP6FDYsUo8zWDc2Oxrb+r4u9sFo3rYGqlbMnY8/vX8FeeO39at20aVCwDcsr/POK689kJBKJRCKRSCQSieTPEELg5ub232vopqSkkJiYCBrjVCKRSCQSiUQikUgk/70I64xueHi4rdd/JH/Z0DVZj+GxNzsqkUgkEolEIpFIJJL/TnSaY1P/03ltQ9fekluJRCKRSCQSiUQikUj+03jt44V01k2eJJK/O68a23mVn5bXlfsz/l16JP8af9f8/7umWyKRvD7/2+X8Vfpf5Sf5J6+TT7Yyttevw78SRiKR/AVDVyL5b0EIkWejod0UTCujnKFsK6egyGtl7Llp0foL6xnQtrwqPFZ/27RJXo8/ez7YdC6UfNa62f62ldH+t+f+V9CGz+v9k0gkr8+flRnbuvVV5exV5ftV4bCpH/Iq57Z+WrTx2spo78E27Kv029YxtghNm6UNp9WjdX/w4AEbNmzAZDJx/fp19u3bR3Z2di59tjrs6dO2k9r4tWjDamXyygvb8Fq0acnL/c/ywdZPudbei1beVrfQbKZq+2ev3yCRSP6JNHQlbxwODv947SdNmsRHH30EwNOnT6lZsyZz5sxR5XQ6Ha1bt+aXX37BwcGBuXPnEhERQdmyZWnQoAGbNm1Sj4FS5M+cOUP9+vXZsGGDugpCp9OxevVqKlWqRIUKFYiIiKBMmTKsWLECBwcHtUOhpGvDhg00bNiQnTt3quFNJhMbNmygZs2aFC9enCFDhpCcnJwrjtjYWKpXr87EiRNzNaiSvHFwcMBsNjNu3DjKly+v/kVERHD79m2ePHlCgwYN+PLLL9VnlZOTw6hRo7h69So6nY5NmzYRERFBdHS0KnP16lXee+890tPTQbMiRvcaG/ilpqZSv359KlasSIkSJZgyZQp3795Vw3fp0oWIiAjKly9PmTJlaNy4Mbdu3VLfo/3791OxYkUOHjxoq1oikWjQ6XSkp6dTpUoVDh06BNbyU758eXbv3q2W5+joaN577z0sFgvPnz9n4MCBREREULp0abp27crNmzfVcq0YJfPnz6dq1arqcYxK3fHhhx+q5bdcuXKUK1eOe/fuqeVXp9Nx7do16tSpw/Dhw19Kb1ZWFu+++y6tW7cmLS1N9dPGr/xX0qI1lgAiIyOpUqUKxYoVY+DAgS/Fv3DhQqpVq0Z8fLyq3xblnpTfaO5dudb6nT59mkGDBmEymdi8eTPjxo3j2bNnqpxW1p4+xc3BwYGEhAQeP36stpk7duygZMmSan2rhFV02atzlXzhFYauEv+2bduoWLEib7/9NhEREdSoUYPjx4+/lF7bcHn5KfEpx2j+Wfy2OrCjVyKR2EcaupI3EiEEd+/e5fr16wBkZGRw6tQpJk2aRGRkpNqI3Lhxg0ePHgEQGxvL06dPGTJkCBEREfTt25fvv/8eNI3O5s2bOXr0KOvWrct1nvLDhw958OABffv2ZeDAgWpHCU1jlpWVxeeff07v3r2JjIwkOTlZDb937166du1KzZo1GT16NBs2bOC7774DTUM+ZcoUzpw5w4IFC8jMzFTDSl6NxWIhOjoaFxcXBg4cyIABAxg0aBAFCxZk3759HDlyhClTpqjvitFo5Nq1a2RkZADwxx9/cPXqVT755BO1w5KRkcGNGzfU86//CgaDgWPHjlG9enWGDRvGb7/9Rvv27UlKSgLgypUreHt789577zFw4EC6du2Kj4+PGn7ZsmVcunSJ+fPna7RKJBJ7mM1mLl26REpKCgBr1qzhypUrTJgwQS2/GRkZXL9+HYvFosoXKFCADz74gLS0NKpVq0ZUVJRqlKSlpfH9999z7tw5li5dqsZlsVi4desWBoOBwYMHM2jQIN599128vLxUGaxtzfHjx1m+fDknTpwAjTG2e/duli9fzrFjx7h8+TLYGIj2/hwdHVWZ2NhYBg0aRLFixRg9ejR37txh4cKFanij0ciMGTM4e/YsGzdutKbIPlpjS2mHtNdaN0U3mk1NtbORWl15ocj069ePuXPnqu6FChWiYcOG6vOyvX/lTzuwjGZwOS8U2YcPH3Ljxg1atWrFoEGD6N27t3q0iqJb+1t7betuLx1agzYvHba/tcayRCLJG1lCJG8Utg2xo6Ojeu3g4IDJZGLu3LnqTK2zs7MqI4QgLCyMESNGMHfuXFq0aMHmzZtVo/LZs2f8+uuvfPjhh/zxxx9ER0erunU6HcHBwYwZM4YPP/yQMWPGUKVKlVzpef78OQA///wz/v7+uToB33//PS1atGDatGl88MEHfPLJJyxevFg96mv79u2cO3eOkSNHYrFYcjWIklejs47sV69enVGjRjF69GhGjRqFh4cHOp0OLy8vvLy8mDVrFljfE2UkXrn28PBg3759rF+/XtWp7awcOXKEyZMn8+233/LgwYM/fT4Wi4X27dszevRovv76a65du6Yaukajkbp16zJ8+HDGjBnD+++/T2BgIFhXJhw+fJiBAwdy9epVLl26ZKNZIpFo0VkND8Vg0Ol0eHp68vDhQ1asWAGaMq/TGG7169dn+PDhLFq0CG9vb1auXKnqPHHiBJ6enjRp0oQzZ87kGvS0WCxUqFCBESNG8OGHH/LRRx/h4+OTqy1QDNOAgAB27NgBGoNm0aJFlC1blpCQEHQ6HXv37mXz5s1q+GfPnvHjjz+SnJyMEILDhw8zZcoUZs2aRVpaGgcPHiQuLo6pU6cyfPhwdu3axaeffqrGvXbtWgICAujcufMrDd3k5GTWrl3LhAkTWLlyJRkZGTg4OHD//n3mz5/P5MmT+emnn3j69ClY20+l3lTyU7mn27dvM2PGDCZPnsz69evJyclBp9NhNps5c+YMX375JTNmzODOnTvs3r2bkydPsm/fPr744gtu3ryJj48PJUqUwMPDA4D4+Hhmz57NZ599xk8//cSTJ08AuHTpEmvWrOHq1atMmjSJJUuWkJycnKexqH0mnp6eDBw4kFGjRjF8+HDCwsK4du0av/zyCwcOHOCLL77g/v37xMbGsmLFCiZOnMjChQvVAet79+7xyy+/cPLkSb744gvmzJnDo0eP1Pfv7t27zJs3j8mTJ7Nv3z7V+D169ChfffUVn3/+OUePHlXbDm37IpFI8sZ+6ZZI/stROixKAyes37p8/PHHbNq0iZ07d4Lm2xsljNJhefToEbdv36ZEiRK4u7uDdTmYk5MTvXr1IjQ0lP3796thsRqyp0+f5uTJk9y6dStXI2qxWChQoABTp06lbNmyuQwpgKSkJCIiItTt3OvVq0dqaioGgwGj0cjnn3/O4MGDiYiIkN/s/AvodDri4+M5d+4cp06d4uHDh2Cd7QkKCmL8+PFs376dPXv2qM9AeXfMZjM1a9akU6dOfPbZZ+rxazqdDhcXFw4fPkyfPn1ITk4mOjr6pffCFiWsMjtx9uxZypYtS4ECBcDaCb537x4XLlzg1KlT6gAJwOrVqylUqBBTpkwhNTVVnQ2SSCR5o9MsYzUYDNStW5devXoxbdo0EhMTcXZ2BpuZt5ycHLAaaampqdStW1fVt2TJEkqUKME333zD7t27OXfunOqn0+l4/Pgx58+f5+TJkyQmJr5U31ssFjw8POjduzcLFy5UlyifPHmShw8f0rVrV3JycnBycuLs2bP07duXhIQEsA6qjRo1CrPZzPz58+nYsSNxcXEcPnyYXr16UbFiRfLnz8/w4cOJjo4mX758uWaU9+3bh6+vL6NGjSIuLo7jx4+rfgpGo5Fhw4bx+eefYzabmTFjBqtXryY+Pp4uXbqwaNEiUlNT+frrrxk6dCjYzEZizUtnZ2fi4uLo3r07v//+O+np6Xz00UcsX74cgI0bN9K4cWPu3r1LZGQkY8aM4dSpU2RlZREbG8uePXvIzMwkKiqKzz77DIC7d+/SunVrVq1ahcFg4NNPP1WXgG/ZsoUBAwbQq1cvEhIS+Pzzzxk/fnyudGnRGpVCCMxmM1jrfIBTp07Rr18/3n33XXbv3s3ly5cZO3Ysv/zyCwaDgalTp6r6z58/z7vvvku3bt149uwZX375JcOGDcNkMqlp3rBhA0+ePGHIkCFcv36dPXv20KVLF65fv66uCDt79qyaHolE8hoIieQNwmKxqP979+4tWrduLYQQ4u7duwIQR48eFT179hQVKlQQZrNZlCpVSkyfPl0IIcS4ceOETqcTJUqUEF5eXqJu3boiLi5O1d2wYUMxYMAAIYQQkyZNEmFhYSIrK0sIIcT3338vAOHl5SVcXV1Fo0aNREZGhpoWJV1CCHHmzBlRsGBBsWzZMiGEEPfu3RPBwcHi66+/VmUuXLggdDqdSEpKEj/++KOoVKmSyMrKEgsWLBDu7u6qbrPZnOu/5J8oeW4wGES7du3U5+Pi4iK++OILIYQQK1euFIUKFRKXLl0SdevWFY0bNxZPnjwRLVq0EKdOnRJCCDF48GDRuHFjceTIEZE/f34xd+5ccfHiRdGgQQORk5MjvvnmGxEYGCgSEhKEEEIYjUYhrM9E+z4qv58+fSrc3d1FoUKFRNGiRQUg2rZtKzIzM4UQQkRERKhp1ev1YtasWUIIIV68eCHq1asn3nvvPSGEECNHjhTVqlUT2dnZueLQvmsSyZtOWlqa0Ov1YvPmzUIIIXr16iUaNmworl+/Ljw9PcXUqVPFxYsXRf369YXBYBDJycmievXqwtPTU4SGhgp3d3cxevRoVd/ly5dFWFiY2Lx5s8jKyhJFihQRn3zyiRBCiKysLNG2bVsBCE9PT+Hi4iK++eYbNazCjh07hIeHh9izZ48IDAwUM2bMEEIIMWTIENGoUSOxf/9+ERISIk6cOCFiYmKEXq8XO3fuFEII0aZNGzFixAiRlJQkypUrJwYOHCiEtZ67cOGCEEKI3bt3i9KlS4t8+fKJsWPHqnVLdHS08PDwEMeOHRNCCBEaGiomTpxoTdU/68w9e/YIDw8PNc5Hjx6JpKQk8eWXX4rQ0FCRnp4uhBDi0KFDIl++fGLDhg1i9+7dwt3dXWRnZ4svvvhClC1bVjx+/Fh89dVXokaNGmoaJk+eLMLDw0VmZqYoU6aMmv7s7Gxx6dIlkZGRIUqUKCEGDRokcnJyhBBCrF27Vnh4eAhhbaerVKkiEhMThRBC7Nq1SwAiOjpaTJs2TTg4OIjffvtNCCHElClTRPny5cWzZ8+EsOkfaPnpp58EIAICAoSvr6+oXr26yMjIECtXrhSA2LlzpzAYDMJgMIiHDx8Kk8mkhvPw8BBZWVli69atAhCrV68WQgixfft24eDgIB48eCAmTJggwsPDRVJSkhBCiGvXromUlBTRvHlz8f7776vpaNiwoejVq5d6bZtOiUTyMnJGV/JGoR1V1i7xVf67u7szdOhQYmNjWbZsGS4uLqqf0WgkLCyMWbNm8c4775Ceno6vry9YR/Xv3LlDVlYWR48eJTU1lYcPH3LgwAE1bEhICCtXrmTNmjVMnz4dNzc3NW5tuoTNroseHh44OjqSlZWVS8bFxYXo6Gjmzp3L+++/j6urKy9evMBisZCenq7OWGtnriX2MZvNNG7cmDVr1rB+/Xp69uwJmpF8FxcXPvvsMw4ePMjWrVtxdXVVn5nFYiEnJ4d69erRsWNH5s6dS2xsLE5OThgMBnr37o2npycNGzZk5MiR6gYstkshFSwWCwaDgXfffZf58+ezePFijh49qn4PbjAYaNOmDevXr2fdunUMHDgQrO/g5cuXCQoKYv/+/QghiIqK4tatWy/pl0gk/0SZqUUzu1ukSBGGDx/O3LlziY6OxsnJKdcqjmbNmvHdd9/h7++fS9e1a9eIi4sjOzub/fv3U7x4cXUJtBK2evXqrFu3jl9//ZUePXqApt5XyMnJoXbt2lStWpX9+/eTkJDAhg0b+Pjjj3FycgLrt65FixalUaNGLF++nGfPnnHy5Enq1KnDixcvePz4MTVr1gTrZzgVK1bEYrHQsmVLIiMjmT59OrNnz2b06NEAREVFkZ6ezvXr1/n9998JDQ1l06ZNvHjxQk0XQEpKCg4ODjRs2BCAoKAgAgMDiYmJwc3NjXz58gFQo0YNfH19c22cKDQ7Befk5HDz5k3i4+Pp378/3bt3Z+vWrQghSEtL48WLFxQqVAgAvV5P+fLlcXNzQ2ddLePi4qKmScm/o0ePUrJkSXUFTKVKlShcuDAXLlzAaDRSpkwZunTpAqC279p8V35bNDs0WywWXF1d+eijj5g5cyZjxoxRV/a4uLhQuXJlnJ2dcXZ2JiUlhX79+tGtWzeWLl2Kk5MTJpMJIQTBwcHUqFEDAH9/fxysmyE+efIEb29vAgMDEUJQunRpUlNTuXv3LidOnKBr16707NmT69evv7Tvg6zPJZJXI3u/kjcKpeHS2WzQofw3GAzUqVOH/v37M2fOHBISEtRvdM1mMwUKFKBt27ZMmjSJ5ORkdcOfQ4cOcf/+fTIyMpg5cyb379/HwcGByMhINW4fHx/at29Px44dqVy5Mtg0ptq0aY1fPz8/fH191c2PAK5fv46joyNJSUkkJCQwY8YMihcvzsyZM8nOzqZXr17qJlpa3ZJ/on32ZrOZkiVL0qZNG9q3b0+xYsVyyRmNRpo1a0bv3r35+uuvefr0qdrp1S5//+KLL0hLS2PhwoUIITAajRQuXJjz588zYcIE1q1bx+eff67qVvRrn4+Snpo1a9KiRQt69+5NlSpVuHnzJlg7t2XKlKFFixZ06NCB/PnzA3Ds2DGMRiNRUVH8+OOP3L9/n/z587N9+3ZVr876PZhEIvkn2vpWMZiEEEyYMIHAwECmT5+u+imUL1+e7t27M23aNH788Ud1s7rt27dTpEgR1q9fz5IlS9TyfeTIEVxcXDCbzYSEhNC6dWs6dOhAeHi4Gp+C8ttgMPDJJ59w4cIFJk+eTJEiRahSpYq6dFZYDfT27dsTHR3Nd999R4ECBahduzY5OTkIIXKdDICmvvLz82PYsGFMmTKFbdu2kZOTw8aNGwkPD2fnzp0sWrQIvV5PfHw8MTExuXQo6bU1upQ8VMjJySEzM1NNp2KUaesgi8VCWFgYQ4YMYeDAgcyaNYvdu3fj5eWl3qcWYTWU86rHdJrPPgCys7NJSkqiYMGCat2q5K/2mWuvsUmjEAJPT0+6du3KgAED6NKlC46OjupguXJf9+/fp3v37ri7uzN69GiaNGnykowSl9L2K3WyvTRYLBYqVarEBx98QP/+/Vm3bp26CaWiK698kEgk/0CWEMkbh9JQWqwzZ4qblmHDhpGUlJTr+AOLxaJ+o1uiRAlq1KihflOzfPlyevTowfbt29m+fTtbt26ld+/erF+/ntTUVBwdHcnIyODq1atcu3aNK1euqJtgaBvbhIQE7ty5Q05ODg8ePCAuLg6Ahg0bsmXLFq5evUpKSgqLFi2iQ4cONGvWjP3797N69WrWr19P7969cXR05KuvviIgIEDVK3kZbYcD63fQN2/e5Nq1a+pGYhbrLqtKh+vDDz/k2bNnHDt2TJ1VUd4li8VCSEgIH3zwAX/88Yf6DV1UVBSxsbG8++67NG3alAsXLpCTk8P69euZMGHCS50VYe1ExsfHc+/ePY4ePcrZs2cpV64cWDtCjx49IiYmhqtXr3Lr1i2eP3/O/PnzGTRoEDt37lTfwebNm7N582Z1R1n5LkgkuVHaA8U4UuoDi8VC/vz5GTVqFJcuXeLBgweqQWI2m9W2oFatWoSGhrJ06VKSkpLUHfG3bt3K1q1b2b17N/7+/ixbtgyz2YxOpyMlJYVbt25x9epVoqOjMRgMLxksSt1TuXJlgoODWbZsGQ0bNsTHxweDwZArzX379sVoNDJ9+nRq1apFoUKFKF68OGXLlmXr1q08f/6cS5cuqYNts2fPJi4ujqtXr7J582aKFSvG7du3OXPmDNOmTVPTvm7dOooXL84PP/yQK23K3hQ//fQTWVlZbNiwgW3btlG2bFmSk5OJiooiOzubefPm4eXlRfPmzcnKylLrNsXYdHFxoWLFity+fZugoCCaNm1K+fLlSUpKwt3dnVKlSnHs2DEePXrElStX+Pbbb8nKyiIgIIDr16+TmJiozpaaTCZ0Oh1Nmzbl1KlTnDlzhqysLJYsWYKvry8RERHqub1Km2s2m7FYjebExESGDx+uHhtn0az4EtZBS+0AgxJeiRfrhlOxsbEMHjyYKlWqcPfuXfV9wjpIqVwrRrdOp6N8+fI8fvyYI0eOkJqayg8//EBKSgrlypXjwYMHVKlShcaNGxMQEKBuQCmsRrKs0yWSVyMNXckbiYODA/nz5yc4OBisDZa3t7e6Kcdbb73FxIkTCQ8PVw3GggULEhYWpuoYMmQIKSkpnDp1ivv37zN48GDVD+Cjjz4iJSWF+Ph4ChUqhJubG++++y4DBgxgwIAB7N27FzSNZlpaGh9//DHTpk0jJCSELVu2qGccfvLJJxQtWpS6detSvHhx9Ho93377Lb6+vtSsWZPq1atTuXJlKlSoQLly5ahYsSLOzs65jCjZINpHp9NRokQJbt++Td++fenXrx8DBw7k/v37+Pn54ePjo244VqlSJSZOnEjp0qVVNw8PD3x8fNTOzpAhQ2jZsiXh4eG4ublx9epVOnToQGhoKFeuXGHcuHHo9Xr27dvH3r171XDKfycnJ6pXr85PP/1E165d+eSTT+jQoQP9+/cHICIigosXL9KrVy/69evHmDFjOHPmDGazmdatW1vv6h/06dOHhIQErl27BprOkUQi+QdOTk689dZbeHp6AhAYGEj+/PnVlTw9e/akR48eFC9eHAcHB5ydnfH391eXLIeHh9OlSxeioqJYu3YtxYsXV1fsYN08rkmTJkRHR/P48WNKly5NUlISffr0UdsD7eobrHVKyZIlcXBwwNXVlXfffZdChQrRp08fALy8vNR0Ari6utKxY0cAtZ5wcXHh448/JikpiVKlStGiRQsMBgNeXl4sXbqUokWLUrFiRdzc3Fi2bBlHjx6lUKFCNGrUSE1HQEAArVq14t69e7kMv6pVqzJ69GhmzZpFsWLFmDhxIhaLhbFjx9KrVy86dOjAW2+9xYoVK5g9ezZFihTB1dWVUqVK4ejoSGBgIF5eXjg5OTFixAjat29P+/btKVmyJI0aNeLIkSMAzJ49m8zMTCIiIujQoQP37t0jX758zJo1i+vXr6vnHfv5+VG+fHnMZjMTJ06kefPmtG3bliJFirB161ZWrFhBQEAAhQoVIjg4WG0LCxYsiL+/P+7u7ty9e5d169apu0RrjUhPT08KFSqEq6urmjdY87148eKqe7Vq1ejfvz9NmjShSZMm3Lx5k7Jly+Lo6Ei+fPkoVKiQuqzb0dGRkiVL4uTkxKBBg2jcuDGdO3ematWqbNy4ER8fH+bMmYOzszOVKlWiTJky9OvXj3v37qnxy7pcIvlzdEL2fiVvENqOvnLMS0hICJmZmdy4cYOKFSuqhmFGRgapqal4e3uTL18+nj17RnZ2tmocGwwGrl27RnBwMI8ePaJ06dK4uLjkGmm9cuUKYWFhODs7k5qammt0N3/+/GrnCqux/eTJE0wmEw4ODmrHwt/fH71eT2ZmJpGRkRgMBmrVqoWfn58aVuHJkydkZmaqBrk2LbJRtI8QgpSUFDIzM3PlVYECBcjOzubOnTuUKVNG3Xk1JyeHp0+fEhgYiLOzM/fu3cNoNFKiRAk17NOnTxFC4O/vj9Fo5MaNG9y+fZtq1apRuHBh0tLSaNu2LW3btmXcuHFqOnTWmYSkpCR19sDBwQF/f3/1e7THjx9jNBrVTpijoyOenp7cvHmTiIiIXN+tmUwmbty4QVhYWK53TSKR/AOLxcKDBw/w9/cnX758PHz4kIyMDEqUKKHKvHjxgoyMDIKCggCIiYnBx8dHrYOTk5N58OABwcHBJCYmUq5cuVwztGlpaTx48IDSpUuTlpam7reglOECBQqo9QtAZmYmSUlJhIaG4ujoyPPnz4mPj1cNxZycHGJiYihRooRa3r/66ivWrl3LyZMnVQMYIDExkbNnz+Lv70/lypVxcXHh0aNHREVF4eTkRK1atfDy8iIxMZHnz59TokSJXPXg8+fPuXPnDm+//baqUyE6OpqYmBjKlStHeHi4upz33LlzJCUlqe46nY6MjAyePn1KaGgoz58/JyEhgbfeegsHBweMRiOXLl3i/v37hIWFUbFiRXWgITU1lePHjxMYGEiFChXU+7127Rrx8fHUqlULrHmsfM+bnZ3NuXPnePr0KW+//bbaHmZkZPD48WOKFCmiXiv5unDhQn755Rd27dqFr69vrjYzJSWFxMRESpUqleu5Jicnk5ycTMmSJVW3zMxMjh07hpeXF8WKFSMrK4uQkBAyMjJ49OiRmr8ZGRkkJiZSpEgRNQ9OnTpFdnY2lStXVvf/yMzM5MyZM6SlpVG+fHk17RKJ5PWQhq5EIpH8H3Pu3Dl++ukn5syZg7u7u9rhlYMREonkr5KZmUnRokXp27fvS98TyzrlzzEajYwYMYJevXpRt25ddZBZ5p1E8vdHGroSyd8U2ZH5+6KcwanX69XnKOTGIhKJ5C+gzDpmZGQQGRlJmTJlCA0NzeX3OrzpbYkQgvT0dPLly6fmwZuaFxLJfxvS0JVIJJL/I+x1PrVVsK2fRCKR2ENYN3bSzjzKuuR/zptu9Esk/23I6QOJ5G+CHJP6+2Kv86TdfVPptEokEsnrouwCLaw7R2vrF6U+kfXK66HNQ5lnEsl/D9LQlbxxvKoR+yudA61MXoaKrT7b/8pve2Gx8bPXiZH87/C6+fsqOa2fbedJWJcpK24ODg7/8rJl7Tul/ZNIJK+HbXnRlqk/489kbcujrZzt9eui1CnKjK5Sn9jO8L5qZvJV6fp3klce2V7/Ff4nYe2hzUNt3azF1s32WiKR/Ochly5L3jhsX3ltZ0Dxs+0sKNi62XYotLJavVryakjzMmRtfysGkbajI/nr2Hvutn5KHmuvbeW1z8Geu/L7ddDK26ZPe611t/2dlw6JRGIf2zKjnK2quCky9sqStsxry6DW8FT+azc50obTopXPq0xj0xYo1/bSp/Bn8SnhbdP2Kp2vgzbt2mvFzfZeXwdtHmAdKNRea3ldnfZ4HX1/Jd0SieT/HmnoSt44bBvevNA2wOQhr21wtR0brb/iZi88r5EebRG1lbGNT/L6aJ/v6+ShvedgG9b2Wdpevw62OhU3BVs/Bdu4bK8lEklutGXNXnmxLXf2yqaC0BjItjLC2g7ktWpDCWcbH3+Shrx+26Lof9Vuwq+6f3vyr4uSLqPRSE5ODvny5cNoNGI2m9Hr9aruf0cc2rzif6iT17z/V+W7RCL5/480dCVvFNoG8dixYxgMBho3bkxWVhYbN26kWLFi1KpVS5XbtGkTJUuWJCIigqioKC5evIjRaMTd3Z1KlSpRtmxZVbdOp+Phw4ccPHhQPeBd0XP16lXOnj2L0WgEa8ejRo0aVKxYMVdjmpCQwL59+8jKysLPz49GjRoREBAA1rMB9+/fz/379xFCUKtWLbtnG0peD+XZmM1mjh07RkxMDCaTCawzBJ06dcLJyYkdO3ZQrFgxatSoAdbzk48ePUrFihXx9/cnOjqaU6dO0bZtWwIDAwF4+vQpUVFRNGzYMNe5tq9DdnY2mzdvJisrSz2ft0qVKurZmNu2bePx48cIa8fa3d2dli1bqu9JfHw8+/bto379+hQrVsxGu0Qi0WIwGFizZg2NGzcmNDSU27dvc+zYMRo2bEh4eDhYzyePioqiWbNmGI1G9u/fT2JiIgaDgYCAABo2bIifn1+uuvzSpUtcvnyZLl264OrqCtZjbCIjI4mNjcVsNuPg4IDZbKZbt274+PioaXry5Am///47ISEhNGzYMJdeg8HA77//TnZ2Nm3atMHd3f2VBix2jOW7d+9y6NAhsrOzCQkJoUGDBnh5eal14tmzZ7l27RpdunTB3d09l65/lT179jB+/HjOnj3L4sWL2bVrFytXrqRAgQKvZVBqMRgMWCwWNV+PHz/OL7/8wvTp08mfP/9f1vdn3Lx5kxMnTmAymTCZTLi6utKsWTP13F5p7Eok/8EIieQNwmKxqP+7d+8uWrRoIYQQIi4uTgAiKChIxMTEqPJhYWFi2rRpQgghRo0aJTw8PETfvn1F1apVhYeHh9i4cWMuvdOmTROA6Nu3r6pDCCGmT58u8uXLJ3r27Cl69uwpevToIXbs2JFL5v79+6JWrVqiWrVqom/fviI8PFy0bNlSCCFEVlaWGDZsmAgKChI9e/YUrVu3FrNmzcoVXvLXUJ6ZwWAQLVu2FGFhYaJXr16iZ8+eonfv3iIpKUmsX79eAKJIkSIiKSlJCCHEixcvRNOmTcXJkyeFEEIMHTpUAGL48OGq7pMnT4o6deqIZ8+eqW6vy+PHj4WTk5No3Lix6NSpk/D09BRdu3YVaWlpQgghSpcuLYoVKyb69u0revbsKYYNGybu3bunhh87dqwARP/+/TVaJRKJPdLS0oSjo6Nalw8cOFAAokOHDqrM6dOnRZ06dYTBYBCPHz8WlStXFqVKlRJ9+/YVXl5eonLlyuLBgweqfEZGhqhSpYoAxM8//5zLvWXLliIgIED06dNHbQsePnwohBDCbDYLIYTYsWOHAERISIiIjo4WQlNfnTt3TgDCy8tLREZGqrqVsH9GcnKyqFq1qihZsqTo3bu38Pb2Fl9++aUQmjhKly4tALFmzRqb0H8dRefGjRuFXq8XWVlZ4vPPPxdvvfVWrjz7K4wcOVIsWrRIvd65c6cICwsT9+/fzyX3P0VJ+4IFCwQgWrduLfr06SMGDhwoLl++bCsukUj+A7G/jkYi+S9FGXXVWTeecHR0BOsMq6OjI4mJicyfP1+Vd3V1VWUA3nrrLVauXMmBAweoVq0as2bNIjs7G51OR2pqKitWrKBLly7s3r2b6OhoNZwQgrCwMFatWsWaNWtYu3YtrVq1Uv0BoqKiuHTpEmvWrGHlypWMHTuWEydOkJCQwIULF1iwYAHLli1jzZo1bNu2jaFDh+YaqZf86wghaNasGatXr1bzPzAwUJ29f/ToEQsXLgTru2M7e+Lo6MiaNWs4fPiwKuPo6KjKxMXFERkZyenTp0lLS1PD2UNnnWUeM2YMGzduZMaMGezYsYP79++DdTajbdu2rFy5kjVr1jBv3jzCwsIAeP78Ob/88gvt2rXjwoUL3Lp1y0a7RCKxxdHRUa3nhRA4OTlx5MgR9uzZA5rN4rTlulu3bqxcuZJdu3Zx79495s6dq+q7ePEiycnJVKhQgQMHDqjuyvLhunXr8ssvv7BmzRrWrFlDwYIFVX807VRiYiKnTp1SwwP8+OOPBAUF4efnh06n49atW1y/fl31z8zM5Ny5c2RlZYFVx/Hjxzl58iQWi4WdO3dy9epVNm3axKpVqzh37hw9evQAa7zbtm3D2dmZWrVqsXz5clWv0tYo/y0WC5cvXyYyMpLo6Gh1NUxOTg7nzp3j+PHjREVFqe5KvmLNb+0S74yMDE6fPk1kZCS3bt3K1a49fvyY48ePc+rUKXJycrh37x7r1q1jz549nDx5khcvXlC5cmXmzp1LcHAwAGlpaZw5c4Zjx46pq7AAEhISiI6OVnXaps/2HhV0Oh1+fn788MMP/PLLLyxevJiIiAiSk5O5cuUKjx8/5sSJE7x48YKsrCyuXLlCZGQkUVFR6nNIS0sjOjqaJ0+ecOLEiVzPCCArK4uzZ88SGRlJfHy86v706VOOHz/O8ePHSUxMVN0VbNMqkUhyIw1dyRuL1lhRjIuhQ4eycOFCjh07Ziuea3mSp6cn+fPnx9PTU10+df/+fbKzsxk2bBhGo5GHDx/mCq/TbPoh7GxIFRYWhqenJzt37gTg8uXLlClThkKFCrFu3TqqVatG+fLluXv3LtnZ2bi5ueUytiT/GsozMJvNoPmeTXErWLAgXbp0YcGCBZw7dw5nZ2fQdEaFEFSrVo0iRYowefJkVS+As7Mzt27domPHjrRv3542bdrw22+/gTUee50r5T1RCAgIwNPTE71er8op/sqSRYXDhw8THh7OV199xZ07d7h586YaRvtfIpHYx2g0Uq9ePcqXL8+kSZN4/vy5Wldry5FSRwQHB5M/f34KFy6s6vj111+pUqUKEyZM4MCBA+qgp1JeLdajxbTlV1s2hRB4eHgwatQovvzyS0wmEzqdjvj4eM6fP0+DBg1wc3PDycmJGTNm0KFDB1JSUgC4cuUKderU4cmTJ+zYsYPmzZvTrl07mjdvzoABAwgODsbBwYFNmzYBUKxYsVyfOJw4cYLg4GDeffdd7t69S2xsrOqn5fvvv6dOnTp06dKFBg0asHHjRgA+++wzateuTceOHalatSpTpkwBm/pSwdHREaPRyMiRI2nYsCFdu3albt266uDAhQsXaNu2LR06dKBp06ZMmDCBmTNn8uTJE7Zt20bdunW5dOkSp0+fplu3bpjNZoxGIx988AG1a9emS5cu1KpVi++//x6AJUuWULduXTp16kS7du2oXr0606dPfyl92n6B4mbPfc+ePdSoUYOWLVtSu3Zt/vjjDz7//HMaN25Mt27dqFmzJt999x0AkZGR1K1blzZt2tC5c2fq1Kmjxp2amsqIESNo0aIF7du3p0mTJsTExJCYmEi7du1o164dbdu2pWPHjjx69ChXmmSdLpG8GmnoSiQa3nnnHapWrcrs2bNVN6VRc3Jy4s6dOwwfPpwOHTpw7do1xo0bp8rNnj2bcuXKUatWLVq1aqU2cAAuLi5ER0fj6+uLp6cnbdu2JTMzM5fx+/bbb/Pxxx8zduxY8ufPz8GDB1m0aBEA165dIy4ujjZt2tClSxfeeustfvrpJ1W/5H+GXq9n+fLl5M+fn3z58vHtt9+CtSOak5PD+++/j4+PD8uXL8dkMuUapLBYLOTLl4/PPvuM8+fPs3fvXvW7XGdnZ9auXcuDBw+4ceMGMTExdO3aFTTvle1/i8WCXq9nwYIFdOvWjd69e1OlShVCQkIA8PDw4Mcff1TfJeUdwdrBDggIICIigurVq6udWQVbI1oikeRGGej64osvuHz5Mr///jtOTk65jB5HR0c2b97MBx98QNeuXQkJCaF///4APHv2jBMnTlC5cmVatWpFZmYmly5dAmv5c3Z2ZuvWrXh7e+Ph4cGcOXPUuLVl08HBgdq1a5Oens62bdsAWLduHTk5OfTp04fnz58DMHz4cG7evElcXBxYv+Fv0KABPj4+/PDDDwQFBRETE8O1a9eoVKkS9evXZ8SIEcycOZOqVauya9cudcbz0aNHbNu2jc6dO9OlSxdevHjBoUOH1DRhvYeTJ0/yzTffMHnyZO7du8fatWspVKgQCxYsYNWqVRw/fpw7d+4wa9YsFixYwIkTJ3BxcUFnXUmlGPhOTk789NNPHD58mFu3bvHo0SN69+7Np59+CsCHH36Ip6cnly5d4ubNmxQvXpxJkyZRpEgR+vbtS3x8PHXq1CEzMxMHBwecnZ2ZPn06J06c4NSpU9y5c4dJkyYxefJk7t+/j16vJyUlhUaNGhEfH8/777/Pr7/+Smpqaq77szUiHR0defHiBZMmTWLo0KF88sknZGRkYLFYyMzMpGnTpjx+/JhGjRpRtWpVzp8/z8OHD5k6dSo//fQTJpMJi8VCSkoKNWrUICYmhq+//ppvv/2Whw8fsmLFCnbt2sX27duJi4vjo48+wsnJidGjRxMQEMCjR4+4e/cuOTk5zJgxQ02nRCL5c6ShK5FoOhiBgYGMHDmSyMhIzpw5o87eYe0Aubm5UaxYMa5evUqRIkVo0KABWJeMXrhwgeLFi+Pi4kLt2rW5cOGCOpJvMpkICgpiypQpTJkyhV69euVaEq3T6Xj06BHR0dG8/fbbtGrViuTkZHWUPCMjg9KlSzNnzhw2btxIkyZNGDdunDq6K/nX0Vl3BK1SpQpTp05l6tSp1KlTBzRLDf39/fn4449Zvnw5ly9ffum9MBgMvPPOO1SvXp3vv/+ejIwMHKwbzdSuXRuLxULv3r05ceKEuqmUErftzC7W9zE4OJj69evTuXNnjhw5wr59+8A641SnTh2mTp3KF198Qfny5QG4e/cuZ86coX79+phMJjp06MCGDRtISEiQBq5E8hcwmUxUrlyZnj178t1336mzulrjokCBApjNZqKioujcuTMeHh4AnDx5kmvXrlGvXj0AOnbsqA566nQ6TCYTZcqUUeuaatWqqToVhBBkZWVRr149ypUrx7p168jKymLNmjUMGTIEd3d3td4qXbo0DRo04IcffsBkMrF8+XJat25NYmIiV65c4Z133sHHx4eQkBBGjRqFs7MzX3/9NXv27CE0NJR27dqpy66vXr3KzZs3qVChAo6OjtSsWZNff/0Vg8GQqw6JjY3FaDQyZMgQXF1dadq0KXXr1uX8+fPkz5+fKlWq4OHhwbvvvouzszNXrlzJVWcqeZmTk8P58+fR6XTMmDGD0aNHc/z4ceLj43n06BGxsbHUrl2bggULEhwczPDhwwkMDMTZ2RlPT0+CgoJUnVjz9/fff6d69epUrlwZd3d3dVn2jRs3MJvNlC5dms8//xw3NzdCQ0PVelpBuUdtfWmxWDCbzdy/f59bt25x7949srOzwTqY+eGHHxIQEIC3tzcdO3Zk//79jBw5ksOHD5OdnU12djZms5kCBQowfPhw3N3dqVu3LkajEYPBwNWrVwkMDKR27dp4eHjw3nvv4eTkxOXLl0lKSmL8+PFMmTKFpKQk9RMWrPcrDV6J5NVIQ1ci0YyOZmdn07lzZ6pVq8bXX3+tdnCwNnYhISGMHj2aJUuWcOLECdUQ3bVrF5cvX2bfvn2UL1+eBQsW8OzZMzZs2KCGDQgIYPTo0YwdO5YePXqg1+sRmuVQGzZs4LfffmPnzp2sW7eO5cuXs3DhQnbt2kXBggUJDQ2lXr16hIeH88EHH/DixQtycnLUe5D8NZR8F0JgNpupXLkyH374IePHj1cNXUXOYDDQo0cPatSowYcffqguJVT8hXUp48yZMzl69Cjr1q3D2dmZ7OxsmjZtysaNG/Hw8KBHjx58/vnnueJXwmuvjUYj7du3Z9iwYSxatEidecH6DVzNmjUZMWIEY8aMoVatWgDqDMbKlSupVKkS8+fPx2Qy5ZrV1cYjkUjsI4TA2dmZzz77jCdPnjBz5kxcXV3V8qMMYC1atIgpU6bw9ddf8/jxYwD27duHxWJh6NCh1K9fn5MnT5KQkMClS5dwcnLCYrFQunRpRo0axbhx46hZs6aq17ZsOjg4MHDgQI4dO8bcuXNJTk6mffv2ahqFELi4uNCiRQvOnDnDvHnz8PLyomXLlpjNZnQ6nbq6RGvAOTg4UKdOHTZt2sSQIUP48ccfAfjll19wc3Pj3XffpVatWkRHR3Ps2DF1+bKSPuU7ZaVtVNDWiwBubm64uLio96cM6tkLYzQaycjI4O233+ajjz7C09PzJVk0923rpvw3Go250uDi4oK3tzdpaWnqbL22Tcfm22htPaz8FkLg7e3N0qVL2b9/PytXrsTPzw+LdW8PRS4lJUXdP0EIoX7/q+jXDpYYDIaX4lbiwpovSnij0UhmZiZt2rShW7duqpxtPkgkkpeRhq7kjUZpKGw7GBMmTGD37t3cv38/V2OujPzWq1ePypUrs2jRIrKzs/ntt9+oU6cOGzduZOXKlWzevJmyZcuyd+9eDAYDTk5OGI1GXrx4QUZGBhkZGWpDp5Cenk6+fPnw9PQEoGjRonh5efHixQuqVq3Kxo0b1U1HfvvtN7y9vdXvgyX/OtrZhZycHDIyMsjMzARNZ0IIgV6vZ9iwYVy/fl1diqcgrEf9vP322/Ts2ZMFCxaQnZ2Ng4MDBoOBmjVrsmnTJlq2bMnOnTtJT0/n8uXL/PLLL2oaFJR3UdmoJDU1lQcPHqjPWqfTkZmZiclkIiMjg6ysLMxmMwsWLKBLly6sW7eOVatWsXHjRiIiIti+fftLnT+JRJI3QggMBgPFixenU6dO7Nq1i0ePHqmbKaFpC9q2bUt6ejorVqwgMzOTn3/+mc8//5x169bxyy+/sGrVKjw9PVm7dq0a3mAwqIadsgTWntFiMplo3749rq6uTJkyhUaNGlG0aFG17VDCDBgwALPZzLhx4yhTpgzFixcnODiY8PBwoqKiwJre9evXc+jQIXWDpqysLFJSUsiXLx+xsbEcPnyYCRMmsGHDBlavXq1+IrFu3bpc8fn5+eHk5MSJEyfAusnTlStXCA4OJicnRzUgf//9d4T1sxxlebSiR1g3pwoODsbZ2ZkffviBn3/+mYULFzJ8+HA8PDzw8fEhOTkZrAN8+/fvJzs7G0dHR7Xew8ZYLF26NPHx8eo3yxcvXuT58+dUr179pXzWaZYpGwwGVq1aRVxcXC4jF2t6ddal1jrN4IHip9zvlStXOHr0KLNnz2bu3Lm0aNECo9Fo99k6WD9/cXBwICQkhOzsbFJSUtDpdFy4cIGMjAz8/PwoU6YM8+fP56effmLBggXqQIeSRlmvSySvRhq6kjcSZSmSMmKqNFRKg1SjRg06duyYy89oNKq/dTodXbt25fTp0+zcuZM9e/bQvXt3ypQpw9tvv02pUqWYPn26Osum1+u5ceMGhQoVIigoiICAABYuXJirkWrUqBFGo5HGjRvz1VdfUaVKFYoUKUL37t3p168fhQoVolOnTrz33nssWbKE6dOnv7R0S/LXUTpcy5cvx9/fn8DAQAoXLkxsbKw6A6N0qDp37kyzZs1IS0tTn53yHinvxgcffICPjw9GoxE3NzfmzJlDeHg448aNY8+ePfTv3x8PDw/mzZuX61tw5d2zWL/R7dWrF/nz51eXww8aNAgAd3d35s2bh6+vLwEBAVSqVIldu3Zx5coVmjRpQkREBBUqVKBMmTIMHjyYAwcO5NpczV6nSyJ5kzGbzWoZ15ZlgHHjxlG4cGHS09NVN4vFospUqlSJBg0asGXLFqZPn45Op6NOnTqULl2a8uXLU7NmTSpWrMj27duJjY3Fzc2NHTt24OfnR1BQEEFBQdy5c0c1uhT9ZrMZi8WCh4cHzZs3Jysriw4dOoAmvUqaAwMDKVGiBCaTiffeew8ALy8v+vbty7Jly+jYsSNvvfUWy5cvJz4+nqpVq+Lj44Ovry+7d+9m2rRpbNu2jfT0dDp06ECpUqWIiIhQN1n6/fff1bgAmjZtSrt27WjatCl9+vShVKlSnDhxglGjRlGoUCHKly/P+++/T/v27enWrRvVq1cnJydHNXaV2UohBEOGDAGgdu3aTJ8+nQYNGjB06FAAvvzyS1auXEmTJk2oV68e06ZNw93dnS+//JJVq1bRunVrdu3ahYuLC0ajEaPRyJdffsmTJ0+oVq0affv2pUuXLkyZMoXQ0FDVCFfy2Ww2I6yz4hcvXmTMmDHcvXsXbGZMLRZLrvZfG17pQwAULlyY0NBQBg0axOTJk5k6dSp6vR6ddTZbiU/RabF+9qIsAa9UqRL9+vWjUaNGAEyePJmNGzfSpUsXpk6dSunSpdW9OWQ9LpG8HjohS4vkDUJolm4eP34co9FIgwYNSE1NZdOmTXTq1Alvb2+wHglz8eJFypcvT5EiRbh06RJPnjyhSZMmYJ1p2759O9WrV+fcuXM0b94cf39/NY7MzEx+/fVX2rZtS0ZGBpcvX1b9zGYzERERFC9eXG2wdDodly5d4vjx4zx9+pQiRYrQpEkT9eiJ27dv8/vvv5OWlkbDhg2pXbt2rvuR/DW0HZnz58+TkJCg+ul0Oho3bsyzZ884fvw4LVu2VL+tTU5O5vjx4zRo0AAvLy+OHz/O8+fPadmypRr+xIkTWCwWatasSXx8PAcOHOD+/ftUqFCBZs2a4ebmRrt27fD392fFihW53gGDwcCBAwcwGo2YzWYcHR2pWLEioaGhABw5ckQ9oshiseDq6kqZMmU4fvw4TZs2zfUOPn/+nG3bttG4cWP16A2JRPIPhHV56e7du6latSrBwcGcOnWKZ8+e0bx5c3W1x/Xr10lISKBx48aYTCb27dtHWFgY5cqVA+usYUxMDEWLFuXu3bu0bt0611Ln27dvc+nSJVq1asW1a9dy1TVYBzmVpbo6nY6HDx9y6tQpWrVqhaurK7GxsZw5c4Z27drh7u7O48ePiYyMpH79+vj7+wOwevVqhgwZwo0bNwgJCcFiXaZ74MABTp8+Tf78+enWrRv58uXj8OHDXL16FZ1OR+3atalZsyZXrlxR067dP+LGjRtcu3aN9u3b51p5kpyczO7du7l37x5vvfUWLVq0wNPTk4SEBLZt20ZqaiqlSpVS8yI+Pp6oqCjatGmjHonUunVr9Ho9d+7c4dChQ8THx1OoUCGaNm1KeHg4JpOJ06dPc+zYMfLnz0/jxo0pUaIEGRkZ7Nixg7t379KjRw+cnJy4dOkSLVu2xMHBgfv377N9+3aePXtGpUqVaNWqFQ4ODty4cYPY2FhatmypPpfr16/Trl07fv31V0aMGMG5c+fU49q0z+/ixYu0atWKfPnyqXmruL/zzjvqLO+NGzfYvn07Hh4eFC9enJycHFq0aEFiYiJnz56lRYsWuZ5hy5YtcXd3V9v3nJwcqlatSp06dXB0dOT06dPqMUpvvfUWDRs2VJ+50oZpn4tEIsmNNHQlbxxao8KWvAxHbRjb8EoYbVFSrrX/bVEaKcXPnoyCbZyK26vCSF6N7fOy5VXPXCtj7z1Q3CzW3UVtwx07dozhw4ezZcsWihQpkmd4BeVdeZ0Ojfa+sEm/1k0iedP5V8q4Vsb2WotS9vPyt0Vb/rHTvigoRpbip9QLFStWpEKFCqxYsSLPeiQvbO/RXjq05KXbnvu/oodX1J22YbT6/yyuvPxMJhNt27aladOmfPTRR6CRx86z0D6DvGS12OavsKnLbe/pz9C+W+QRp0Qi+QfS0JW8USiNjNIwKI2jthFS0Dac9tA2VnnJ2dORV1wK9uRt02h7D5J/HSW/7XU2FDflv+2z0z5fW1lbHVq3x48fk5qaSsmSJVUZbJ619r9t59a2k6SgyNumwdbfnp9E8qaiLWvYKYe2coqM2WxWy6LOagAp/rblzLbsafVq/fO6Vty0BqBSLzx79ozPPvuMbt26Ub9+fbvhtPWCvTTYugnNWe+296JFm07be7dNq1aHNv22+aLVmVfcWhnsyGnTbytrm2aj0ciFCxcoU6YMHh4e6j0r/rbY6lPc7Bnn9uRs3ZQ0Kn6217bhFP221xKJ5GWkoSt5Y7FtQOw1Moqc4mYP2wZIW6RsGyytDuVa2zj+K8Uxr3RJXk1ez8NW5lUITWcKO8//Vdh7b2zD20ufsPM+aq9tdSjYxieRvOloy5S9cmPrppQbe+Fsy6NWHjuzcPbC2sanYBtO6y40M4T2wmIjp9Vlew+KG3bax7x+27ppw9qG0WIrayun1a/FVkZxs/2tlbOnR0tefooOe+EVP+0ApG2eKL9t71XBNp2KG1ZZW5158So/ieRNRxq6kjcK7etu2zBqf2vlhB1jRutnrxHT2YxWa7FtuGwbs1fpsZWz1aVg62dPRvLPZ6bkkbDTYdQ+E9vn82du/2qea+Oz5674/Vm8/5M0SCT/7bxOubb1s1cf2JY3e//tYRtOwVbnq1DkbFd92IvfXhy2frZhXwd7srb3YKvTNl5tOAVbPy224e1d2/utJS93BWGnTVDuQxtWq+PPdGJHxl7+2PpJJJJ/jT//4Esi+S/DtmFUfisNikWz4yZ5dGxsr22XLNnqso0LzW7O2sZS26hp02QbVqvPNk1KGNt4tGEkL+elNt+0bnnlm20+215r5V4X2/iUa8VN+67YYvveaN0kEsnLaMuMvWsFbRm39eMVdblWXhvuz8qlbVitu87azmh1KO2P7X3Yi0er0/a3ot9eml+FvXjsuSko8djD3v3Zor1P23wSmuN+bPPDlrzcFZR0aJ+v8tvBulGZrQ7ba3vYyijXtu55uUkkktdHGrqSNwrbRtEett8/ahsh2wZV8VdktB0Erbvtf9vfttg2oNoG2zY92nTYuzd7cUv+gU6ny/WNnb2OkTbPtR1Kbf4rcoq/tqP1P813JX7ts7XtWCsIm+93bQdtJBLJP3lVebety7V+CrZ1r239a6s3L2zj07rb6lD8tXVMXkaXgj3dtihhlft5lb6/ipJuRZ/t/1elyx7atNnmlxbb638VJT7tPWif919Nv0Qi+b9DLl2WvFHYaxS1jZdWxtY9r0bTVv51GmAtipw9GcVw+jP/V/mRR1jJq/MeO++Axc7yQC22+myv/4y/Kq+Q17tmL40SieQf2JYP22vs1LH2ZLRyCvbqjbzCKu6vKsda7PlZLJZcxwJpsR2gyysNtv55pfevoNy7xXqOrDaNim5t2l4H2/yylx+vq+tVKHmiHTzU+mn5d8QnkUj+/UhDV/JGoW0ET548iclkom7dumRmZrJz506KFi1KlSpV1IZ0x44dFC9enNKlS3P58mWuXLmC0WjE3d2dcuXKUbp06VyNdGJiIpGRkVSoUEHdURfg1q1bnDt3DqPRqDaeVapUISIiQpO6f3D37l3Onz9P5cqVCQ8PB2u6Y2JiOHv2LJmZmRQtWpQ6deqoZ/elpaVx8OBBkpOTcXFxoUmTJgQHB+dqjGVDbB+LxcKJEyeIi4vDaDSqz1M5N/KPP/4gNDSUqlWrgvUoiuPHj1OuXDn8/Py4efMmUVFRNG7cmAIFCgDw9OlTrly5Qu3atdVn9LpkZ2ezZ88eXrx4gRCCokWLUr58efUc37179/L48WOEEJjNZvLly0eTJk3w9fUF4OHDhxw+fJjatWur50FKJJKXEUJgNBrZsmULtWvXJiQkhNjYWE6ePEndunXVs6uTk5O5dOkSDRo0wGg0cuzYMRISEjCbzfj4+FC3bl38/PxytS9Xr17lxo0btG3bFr1eD4DZbObEiRPcv39frWssFgsdO3ZUyzfAkydPOHToEIULF6ZmzZpq+wJgMBg4dOgQBoOBxo0b4+7u/pIxbg+tzN27dzl16hSZmZkUKlSI2rVr5zrH98KFC9y+fZu2bdvi5uZmq+ovoejct28fn3zyCcePH2fZsmXs2bOHJUuWUKBAgddKvxaDwYDFeoY4QGRkJCtXrmT27Nl4eXn929u9mJgYzp07h8FgwGw24+zsTKNGjdQ29t8Rh0Qi+V9CSCRvIBaLRXTv3l20bNlSCCHEvXv3BCACAwPF7du3Vbnw8HAxbdo0IYQQo0aNEr6+vmLEiBGiSpUqQq/Xi02bNqn6hBDim2++EYDo16+fqkMIIaZPny68vLzE+++/LwYPHiwGDBggfv/991wyQgixYcMGUbx4cQGI5cuXq+7x8fEiKChI1K9fXwwaNEjkz59frFixQgghREpKimjZsqUoUqSIeP/990WfPn3EV199JYQ1XcqfxD4Gg0G0atVKFC1aVAwePFgMGjRIDB48WDx58kSsXbtWACIsLEwkJiYKIYRIS0sTTZs2FadOnRJCCDF06FABiKFDh6o6T548KerWrStSUlJUNy2veh5JSUnC0dFRdOrUSXTv3l24uLiITp06iefPnwshhChdurQoXbq0GDp0qBgwYIAYO3asePDggRp+7NixAhADBgxQ3ZT45PsgkeQmNTVVODo6io0bNwohhBgwYIAARIcOHVSZ06dPizp16giDwSCePHkiKleuLMqVKyc++OAD4eLiIqpVqybu37+vymdmZoqqVasKQCxdujSXe6tWrUTBggXVtmDQoEHi0aNHqowQQmzbtk2td27evJnL79q1awIQXl5e4siRI7n8tOU6rzL+7NkzUbFiRVGyZEkxaNAg4eHhIb788stcMiVLlhSAWLt2bS73vHQqvMp/48aNQq/Xi6ysLPH555+Lt956S8THxwuRRzh7bgqjR48WCxYsUK83b94sPD09xb1793LJaXmVvrz8FPf58+cLnU4nunTpIt577z3xwQcfiOjoaFvxPHmV/lf5SSSS/zkvr8eQSN4AdDodjo6O6jIqYV2e9PjxYxYsWKDK6fV6nJycwDoiXqxYMX788UcOHz5MrVq1mD59OllZWeh0OtLS0lixYgXdunVj27ZtXLlyRdVjsVgoXLgwixYt4ueff2bZsmU0b95c9cd6tuqmTZto3bo1QUFBuUalv/jiCwoWLMj69etZvHgx77zzDhMnTiQ9PZ3Zs2dz8eJFNm/ezKJFi1i+fDlDhw5Vw2r1SOxjNptp3LgxP//8M4sXL+bnn3/G399fnTWIj49n/vz5ADg6OqrfxGF9l3Q6HatXr+bo0aO53BQePnzIvn37OHbsGJmZma+cAVCW+Q0aNIh169axYMECdu3aRVxcHFhnM1q1asWCBQtYtmwZM2bMoFChQgBkZGSwcuVK2rVrx/nz57l16xZolgaimWGRSCQvtwWK24EDB9i9ezdYy6RS7pVlrB07dmTevHns3buXu3fvMmfOHDX8hQsXSElJISIigv379+fSa7FYqFWrltoWLF68+KX6XmlzHj16xMGDB1V3gO+++w5/f398fHxwdHTk5s2b3Lx5E6z6MzMzOXXqFFlZWQAkJSVx6NAhTp48CcCWLVu4ceMG27ZtY/HixVy9epUBAwao+rds2YKHhwf16tVj8eLFqru9duTGjRvs27ePa9euqbOyRqORc+fO8ccff3DhwgXMZrMaXrkvJT+VeigrK4vjx4+zf/9+bt68mauOSklJ4dChQxw7dozs7Gxu3brFL7/8wp49ezhy5AgpKSlUqlSJhQsXEhISouo7ffo0+/bt48KFC5hMJnQ6HY8ePeLSpUukpqZy8OBBLl68iNls/tP60MHBAR8fH6ZNm8ZPP/3EvHnzKFOmDMnJyVy5coXExEQOHz5MRkYG2dnZXL9+nX379hEVFYXBYECn0/HixQuuXr1KcnIyhw4d4vTp02RnZ6txG41Gzp49y4EDB7h//77qrjy/Q4cOkZSUBNa8VP4kEsmrkYauRKLpgPTv35/Fixdz9uxZ0DQoioyCu7s7bm5uuLu7q0tTb9++TWZmJoMGDcLZ2Zk7d+6o8kpYew2TEkf+/PlZuXIlvXr1ekn23LlzuZbG9u3bl4cPH5KamsqdO3do06YNwcHBXLp0CaPRqC5j5d+0dOu/nbzyyGg0UrBgQbp06cKyZcu4evUqzs7Oud4Lk8lElSpVKF68ON988w1ojEknJyfi4uLo2bMngwYNol+/fqxfv94mlpfRaQxTFxcXfH19cy0htOSxydT+/fspWLAgY8eO5f79+1y7dg1sjNu87lUikfyjPNepU4e3336badOmqQOZwmY3X6UcBQcHo9frKViwoKpjw4YNREREMHbsWA4ePMiNGzdUv7zaAG25NJvNeHh4MHz4cL755huMRiMA9+/f58KFC+qSYkdHR2bPnk3Hjh159uwZAOfPn6dhw4YkJyezf/9+WrZsSf/+/enRowcfffQRBQoUQKfTsWXLFsxmM2FhYepAGdZlwD4+PvTr14979+5x+/Zt1U+bxu+//55WrVoxZMgQWrZsyc6dOwEYP348zZo1Y/DgwdSvX5+vv/46V1jlXhXDODs7m+HDh9OuXTvef/99GjZsyPHjxwG4fPkyrVq1YujQoXTq1IkJEybw3XffkZyczI4dO2jYsCFnz57lwoULDB48GLPZTFZWFsOHD6dhw4aMGjWKBg0aMHv2bABWrVpF8+bN6d+/P4MHD6Zx48aqnz20adYa5gp//PEHDRo0oE2bNjRs2JCDBw8yadIk2rVrx/Dhw6lfvz4//vgjAMePH6dZs2Z07tyZESNG0LBhQ3VwJCMjg8GDB9O9e3cGDBhAy5YtefDgAfHx8bRr145+/fqpzzA5ORmdZnMsiUTyaqShK5Fo6NmzJ9WqVWPmzJlg0ylxcXHh5s2b9O/fn1atWnHr1i0mTJigzgTMnTuXChUqULduXZo0aZJrhN/Z2Zno6GjCwsIICgrinXfeITMzU/XHOnvs4uLyUuOVkJDA48ePyZcvn+rm5+eHXq/nzp07XLp0iYMHD9K0aVN69+5N+fLlVUMdO7OLkn+gzWe9Xs/KlSsJDQ2lQIECzJo1C6yztyaTiREjRuDt7c3ixYsxm825ZnQBvL29+fzzzzl58iT79+9Xv8lzdnbml19+4dq1a0RFRXH+/Hlat26thssLFxcXpk+fTvv27Rk6dChVq1ZVZyvc3d1ZsGAB4eHhBAUFsWjRIjUtq1evJjw8nLp16/L222+zbds2VafSsZRIJHljNptxdXXliy++4PTp0+zevVsdzFSMCxcXF9avX8+AAQPo0aMHoaGhDBw4EKwrcw4ePEjt2rXp0KEDaWlpXL58WdXv4uLCli1b1Lpmzpw5ql6lTlLq7Fq1apGZmanOLG/atAmTyUTnzp3JyMhAp9MxZMgQrl27Rnx8PAC7d++mUaNGBAQEMGPGDPz8/Lh48SJHjhyhSJEiNG7cmDFjxvDtt99So0YNdu/erRrSCQkJbNu2jd69e9O1a1fS09OJjIxU066k7+zZs3z77beMHDmSa9euqStgFixYwPr169m/fz/R0dFMmjSJ2bNnc/z4cfR6fS6D3tHREWdnZ5YuXcrBgwe5cOECd+7coUuXLkycOBGA0aNH4+npSWRkJGfPnqVMmTJ8+eWXhIWF0bNnT+7cuUOzZs3Izs7GwcEBZ2dnfvjhBw4ePKjO2H7yySdMnjyZu3fvYjKZSEpKokKFCly9epVu3bqxZs0a0tLS1Hu0h4ODAykpKYwbN45evXoxevRo0tPTMRgMPHv2jGbNmhEXF0etWrWoU6cOBw8e5NatW3z66afMmjULo9FITk4Ojx494u233yYqKoqvvvqKL7/8kkePHrFy5Ur27dvH2rVriY6O5sMPP0QIwfjx4/Hz8+P27dtcuXKF1NRUZsyYoaZL1ucSyZ8jDV2JRNOA+/n5MWjQIA4cOMCZM2dwdXVV/YQQuLm58dZbb3Hnzh1KlixJkyZNwLpUKjo6mjJlyqDX62nUqBFXr15VZ3XNZjMBAQEMGTKEkSNH0qlTp5d2clRmC5ROjtKIGY1GjEbjS7N4Op2OrKwsUlNTqVmzJkuXLmXjxo04OzvzySefqIaN0MxESOxjNpuJiIhg+PDhDB8+nGrVqoH1mVssFvz8/Bg1ahRLliwhOjoaJyenXO9FTk4Obdq0oXz58syePZvMzEx1CXL16tWxWCwMGDCAEydOEBgY+NJghi0Wi4WwsDDq169Pp06d2Lt3L7///jtY34dKlSrxwQcfMHLkSMqXLw9AXFwcly9fVpfEd+vWjQ0bNpCUlITOeoyStqMpkUheRqfTYTAYqFSpEt27d+fbb7/lxYsXavlRynXBggXJly8fly9fplu3bnh7ewNw5swZYmJiaN68Ofny5aNbt27qrCbWuuatt95i+PDhjBgxgipVqoDNwJsQAoPBQIMGDShfvjxr164lJyeH1atX89577+Hu7g7W2ecyZcpQt25d5s6dC8CKFSto3rw58fHxXLhwgfbt2+Pj40NYWBgjRoxQjfht27ZRokQJWrdurQ7s3b59m9jYWKpXr46Hhwe1a9dm48aNuTbpU+QyMzN59913cXV1pXnz5tSqVYvz58/j6elJpUqVyJcvH0OHDkWv13PlypVcdaaCwWAgKioKZ2dnZs+ezbhx4zhz5gx37twhMTGRW7duUbNmTQICAggNDeX999+nYMGC6PV6fHx8KFKkCFjrS6Vu27lzJ9WrV6dGjRro9Xp69uyJs7Mzt27dUvN+8uTJuLm5ER4ejhACk8mUK10KSnqVOjMtLY3nz5+TkpJCTk4OWA32ESNGEBoaip+fH+3atWPPnj2MHj2ao0ePkp2djdFoxGw2U6BAATVPatWqRXZ2Njk5OURFRREYGEj16tXx9PRk8ODB6HQ6Ll68SFpaGhMnTmTq1KkkJiYSExOTK42ybZdIXo00dCUSTUOWk5NDjx49qFevHrNmzSI9PV39rshoNBIWFsbHH3/MnDlz2LdvH2vWrAFg+/btREVFsX79esqUKcM333zD06dPWb16NVg7N0FBQUycOJGJEyfSt2/fl0a4tQaItkOgzNwp31xhbXBNJhO+vr4UKFCAiIgIqlSpQqlSpWjRogUJCQkkJiaCnNH9U5SOTtWqVRk/fjyTJk2ibt26qh/WDtm7775L3bp1GTNmDNg8L7P12IyFCxdy7Ngxtm/fjrOzMzk5OTRr1oytW7eSlZVFt27d+Oyzz156HradXKPRSNeuXRk9ejSLFi2iatWq6tJAo9FI3bp1GTduHBMnTqRWrVoAHDt2jFu3bjF79mxKly7Nt99+S3Z2trpUWjvwIZFI7KOUTb1ez9dff01KSgpz5sxRd/hV6ouGDRsyb948Ro8ezdSpU3n06BEAe/bsISsri86dO1OuXDkOHDhAXFwc58+fx9nZGZPJROnSpRk/fjyfffYZtWvXBpvz23XWpb0ODg6MGDGCyMhIFi1axN27d2natGmudOj1etq3b8+xY8eYOXMmHh4etGrVSv0uVZtu5b9Op6NBgwasXbtWrWMAli5dik6no23btpQpU4YzZ85w4MAB9Vt/bRqdnJzUtlHBZDLl+tbZ1dVV/eRCpxlsU4wzi8WC0WjkxYsXxMTEEB0dja+vLwMGDMDLyytPI07YfJ+qrLCxWCxYbI5Z0uv1+Pv7k5iYiM7me2wlj2wHndHkE9b63cvLi/nz57Njxw6WLFmCn58fJpMJJycnVe7p06e0atWKFStWEBMTw6NHj9Q6V4lbictkMuFg/ebbXvxmsxmLxUJycjI3btwgOjqaihUr0rZtW9A8T3thJRLJP5ElRPJGojQ8tp1+5XrcuHHs2LGDu3fv5mo0lYa3SZMm1K5dmyVLlpCTk8PatWupWLEiq1atYv78+er1wYMHMZvNODk5YTKZyMnJwWQyqccUaBtBpbE0Wo8g0o4yh4aGcvLkSVJTUwFYs2YNlSpV4u2336Z06dJs3bpVbfyvXLlCeHg4wcHBYGNESf6Jkt/Kf+XIipycHAwGQy5ZYf1G6/333yc6OppTp07lOjbIwcEBk8lEuXLl6N27N99//706C5Kenk7VqlU5cOAALVq0YPv27bx48YLr16+zffv2PN9F5fmnpqaSmJiYa+l6dnY2WNOszPbPnTuXNm3asHTpUhYuXMjq1aupUKECu3btUjvNShy2cUkkbyq2ZUGpR41GI4ULF6Zjx47s2LGDpKSkXJspKeWze/fuZGVlsXz5cnJycliyZAkTJ05k2bJlLFy4kCVLluDl5cWvv/6ay8DCWtfn5OSoaVDqIgWTyUTTpk0RQjBhwgRat25NmTJlMBgMar0B0L9/f0wmE+PHj6dkyZIUL14cPz8/ChYsyJkzZ8A6iLtr1y7OnTvHxYsX1TbmyZMnODs7ExMTw8GDBxk9ejSrVq1i0aJF/PDDDwQEBLBx40bQ5JW3tzdms1ndfC8uLo7r169ToEABXrx4odZPBw4cIDs7W00zNkapk5MTQUFBeHt7s3nzZnbv3s2uXbuYMGECrq6ueHt78/DhQ7DWecePHyc7OxsnJyfS09NzGcyK7mLFinHnzp1c3yzHx8dTv3591RBW0BqJOTk5bNu2TY0Pm3dDaQPQbBamuCtyly9f5siRIyxfvpwdO3bQo0ePXG2JVlbJAwcHBwIDA0lPT+fp06eqnszMTLy8vKhduza7du3i999/Z8eOHXTq1EnVJZFI/hxp6EreWOyNFisdh8qVK9OuXbtcfsoIK9ZvL/v06cOVK1fYt28fe/fu5b333qNevXo0bNiQGjVqMG3aNI4ePUpMTAwuLi7cunWLKlWqqAbqL7/8kkt/eno6ffr0oXv37iQnJzN58mQaNmxIYmIi06ZNIzo6mmbNmtGmTRu2b9/Ol19+ibOzM506deLq1au0b9+eLl26cPPmTUaPHg2axtC2AyX5Z94IIXB2dua3337j7bffpnLlylStWpX79+/j7OyMxWLBbN05tEOHDjRq1IinT5+qeSqs59kqDBkyBC8vLwwGA3q9nsWLF1O5cmVGjhxJZGQkAwYMwNPTkx9++IHPP//8JSNXp9Ph7OzMqFGjqFSpErVr10av1zNo0CCwzpKsXLmSihUr8vbbb9OqVSv2799PTEwM77zzDvXr16dBgwbUqlWL9957j0OHDnHq1ClVt7aDLJG86eh0ulx1u2IMKWVy9OjRBAYG8vz5c7X8mM1mtcxXqlSJpk2bsnv3bubPn0++fPlo164dtWrVon79+jRv3pyKFSuyb98+Hjx4gJubG3v27KFChQpUqlSJypUrc+/evVxpUuocIQQeHh6888476mojrG2R1mjy9fUlIiICIYRaTwQEBNCvXz/WrVtHp06dqFatGnPmzOHatWvUq1eP0qVLU7JkSXbs2ME333zDvn37MBgM9O/fn5o1a1KvXj26dOlCzZo12bNnjzowC9C0aVNat25N586d6du3L9WrVycyMpKRI0cSGhpKrVq1GDJkCL169aJfv37Uq1cPg8GAyWRS81ZYl4EPGzYMvV5PgwYNmDRpEm3atGH8+PE4ODjw2WefsX79epo3b07Dhg35+uuvcXNzY/z48axfv5527drxxx9/oNfrMZlMmEwmpk6dSnp6Og0bNqR///707duXKVOmEB4eri43VlDy0dnZmcuXLzN48GB19lqLkl5tm4GdPkSJEiUoW7YsAwcOZOzYsXzzzTfqgKg2vILFOqM9ZMgQ3N3dqVu3Lr169aJNmzYATJo0id27d9OzZ08mTJhAjRo1WLlyJdgMGEgkkrzRCduSJ5H8F6O87jqdjqNHj2I0GmncuDEpKSmsXbuWXr16qd9axcXFcfHiRcqXL0+RIkW4ePEiSUlJ6jeQqampbNmyhZo1a3LixAnatm1LQECAOkqbmZnJypUr6dChA9nZ2Vy6dAmLZvlo2bJlKVmyJMJqeKSnp3PixAnS09NxcXFRl8PWrl0bHx8foqKi2LlzJ0ajkebNm6vLa7Hu6Hjo0CEA3nnnHbXTo0UaN7lR8t1isXDu3DkePXqUq9PQtGlTUlNTOXToEO3atSN//vxgXZ52/PhxGjZsiJeXF0ePHuX58+e0bt1azeOTJ09iNpupVasWCQkJ7Nmzh5iYGKpXr06LFi3Ily8fHTp0wMfHh2XLluV6L3Nycjh48CDZ2dkI65Ecb7/9NoULFwbg0KFDpKWlIaxLAD08PChbtiz79++nVatWBAYGqvfw/PlzNm7cSPPmzdWdVZX7lkgk/5hV3bp1K7Vq1aJQoUKcPHmS5ORkWrZsqc7gXb9+nYSEBJo0aYLRaGT37t0ULVqUiIgIsM4a3rx5k1KlSnHz5k06duyIXq9X24Lr169z4cIF3nnnHaKjo+3WNR4eHmrZfPjwIceOHVN3V7579y6RkZF07twZd3d3Hj9+zIEDB2jWrBl+fn4ArFy5khEjRnDt2jV14zqAffv2ceTIEfz9/enevTuenp4cPnyYc+fOAdCiRQtq1KjBpUuXuH37Nh06dMDR0VFNS3R0NJcvX6Z79+5grT8cHBx4+vQpW7Zs4d69e5QvX56WLVvi5eVFQkICmzdv5vHjx5QvX5527dqh1+vV5dvt2rXj5s2bREdH06ZNG9zc3Lhz5w579+7l/v37FC5cmFatWlGkSBFMJhMnTpzgwIED+Pr60qpVK0qUKEFGRgabNm3i3r179O7dGxcXF86ePUu7du1wdHTk7t27bNy4keTkZGrWrEnbtm1xcHDg2rVr6ikFOp2OW7duER0dTYcOHdi6dSsffPABkZGRFC1aNFedfPv2baKiomjbtm2ulTU3b97kwoULdOzYMdfpC2vXrsXb25vSpUuTkZFB27ZtefjwIadOnVKfqXJsULt27XB3d+f27dts376dzMxM6tevT506dXBwcFCPanr+/DkVK1akadOm+Pr6qn0JWZdLJK9GGrqSNwql8c6rsy+so662DYhWXpGx922M0rHRNpKvQmv42tPHK2ZlX3Uv9oq1rYzkz42+v+pv+6xs/RUOHz6sbnoWFhamyirYC2Or+6+ghH3VeyaRvGloy6e98qXU51q09a6CvTJpT19e9YGtrFbONg22OhT/0qVLU6FCBdauXau2QXnFZesuNG2a8lsrY3u/itvrYpvPtunX2THYbOW07uSRV/autSh+2vvFOtjRrFkzWrZsyfjx43PJK2jzQBuH4q7THJmUV/zY5LXW7VVhbNGmy1aXRCLJjSwdkjcObWNl22CgWRKklbNF28hq/xysO3Iq2Oq3vVYaKG3jq0Xk0QDaytnjzxrcNx3bPLR9Nljz0PZ5Kn55ydte25MrVqwYGzZssGvk2qKNU/ueKOnS+ivX9tx1ms1gJBLJy9jW69ryb1vmtPWrIq8te1psr7V6FPKqq23rFO1voZldLVeuHAMGDMhVxi2aJdja9GlR7kXbFtkaTko4bX1me8/20PrnJZfXfWMnDlsd2utX/bb9w9rOa/V+/PHHDB48WA1na7Rq2wGlj6DND3sDEgrasNpw2vTYa2eEdZm8Np3KbyVdr8o/iUQiZ3QlEolEIpFI/rbYGmUSiUQi+QfS0JVIJBKJRCKRSCQSyX8VcumyRCKRSCQSiUQikUj+q5CGrkQikUgkEolEIpFI/quQhq5EIpFIJBKJRCKRSP6rkN/oSt4ohOZ4gYSEBIxGI0WKFMFoNHLjxg2CgoIICAhQdza8ffs23t7eBAYGkpSURFJSEhaLBb1eT+HChdWzD7HufpiZmUlcXBwFCxbE29tbje/p06c8fPhQ3TRECEFwcHCuM08NBgNxcXFkZGSgs+72WbhwYfz9/QFISEjg8ePHODg4UKRIEby8vMjOziY2NpacnBx1F0mdToefn1+usxQVd8nLCCF48OABKSkp6rVOp6NUqVI4OTlx69YtAgIC1PfCYrHw4MEDAgMDcXd359mzZyQkJFC2bFl1183MzEwSExMJDQ3Fyckp1zvyZ8/CaDRy69YtTCYTQgiCgoIICgpS/W/fvk1mZqb6jri4uFCkSBHc3NzAenZuXFwcRYsWzXXmo0QieRmz2cyNGzfU8lagQAEKFCjw0s7DWrTdJm1Z1rYvirttebcXVlh301XCKrv337x5E6PRqNY7/v7+FC5c+KX6RAlrG4/ttRJGizZeBW26lGvb37Z6JBKJ5D8SIZG8gVgsFtGzZ0/RsmVLIYQQ9+/fFzqdTjRo0EBkZmaqckWLFhXTpk0TQgjx0UcfCZ1OJ4KDg4Wvr69o3LixiI6OVvUJIcSSJUuETqcT48ePV3UIIcTMmTOFTqcTQUFBIigoSAQEBIj58+fnkomLixPlypUTPj4+okCBAsLX11dMmTJFCCHE0aNHRVhYmPDx8RE6nU506tRJPH/+XMTGxoqKFSuKgIAAUbBgQREaGiocHR1Ft27dhBBCmM1mYbFY1PRJXsZgMIh27doJJycnUbBgQVGgQAEREhIibt++LQ4fPixcXFxEw4YNRXp6uhBCiBcvXojmzZuLkydPCiGE+PTTT4VOpxMLFy5UdZ44cUI0aNBApKSkqG4Kf/Y8Hj9+LNzc3ERAQIDw9vYWxYsXF3PnzhVms1kIIUT58uWFi4uLKFiwoPD39xfly5cXV69eVcMr79rUqVM1WiUSiT1SU1OFl5eXyJ8/v/D29hbh4eHiu+++EyaTSQhN3a6glEPFz2KxqG7KtW0YW3etv9ZPq/vFixdqHRAcHCy8vLzE8OHDVX8tecWZF9o4bdOitBlaFDfZnkgkkr8beQ9ZSiT/hSij0sqItDJqr5xVd/jwYVasWKHKOzo64uzsDIDJZCIiIoLz58+zb98+Hj58yKeffqrO0hoMBrZu3UqJEiXYs2cP8fHxqh4hBCVKlODMmTOcPXuWqKgoevfurY7UK7i5ubF582YuXLjAhQsXGDp0KADp6emMHTuWq1evsnz5crZs2cKKFSsoUqQIO3fuJCoqirNnz7J9+3aKFy+uzubKUfe80b4LRqORLl26cO7cOc6dO8fJkycpXrw4Dx48wGQycejQIXbs2PFSWICUlBSEEPz444/cv38frO+N9vxDk8lEbGwsCQkJf/pMdDodOTk5zJ49m9u3b/POO+8wZcoUYmJiwDpb3LdvXy5evMiFCxfYs2cPJUqUAGs8q1atIjw8nIMHD6qz1BKJxD4ODg5kZ2czc+ZMbt++zYABA5g0aRLnz58Ha3lMTU0lJiaG1NRUVV5Z3aPoePHiBc+ePVNnVpOTk7lz5w4pKSmqW2ZmJqmpqRgMBu7du4fRaFTjUPRoMRgMzJw5k8uXL3PlyhU+//xzAJKTk9U0pKWlodPpMJlM3Lt3jwcPHmA0GtFZV3ykpqaSk5NDRkYG9+7dU+NT/tLT07lz5w6pqam53JOTk4mJiSE9PV1Nl3J+rEQikfxdkIau5I1EabC1DbiDgwOVKlVizpw5JCQkqO5KZ0an0+Hu7k6BAgWoXLkyFSpU4NGjRxgMBgCSkpI4deoUEyZM4MaNGzx8+FCNT1liWrhwYUJCQihcuDCenp6qXkXGwcGBwoULU7BgQUJDQ9WlzS1btmT48OEEBwfTpUsX/Pz8SE9PB6BQoUIULlyYQoUKERsby7179xg1apQat9Yok9jHYrHg5eVFcHAwISEh6kCBxWIhODiYcuXKMW3aNFJSUnB0dMzV4TOZTBQvXpyYmBh++OEHsBlIycjIYPz48dSoUYN69erxxx9//Gln0WKx4Ofnh7+/P40aNSI7O1t9z4QQ+Pj4EBgYSEhICMHBwepgzI0bN3j+/DmffPIJN2/e5OrVqzaaJRKJFqWsBgQE4O/vT+fOnTEYDOTk5GAwGPjiiy9o0aIFNWvWpH379ly9epXExERatGiRqyyPHTuWefPmAbBp0yaaNGlCzZo1ad26Nbdv3wZgyZIljBw5kkGDBlG9enXi4uLQaZYCC+syZKztgrJc2c/Pj9DQUPz9/Xn69Clt2rRhxowZ1K1bl1GjRnHs2DG6detGnTp1qFu3LqNHjyYnJwez2Uznzp354osv6Nq1KzVr1uSTTz4hOTkZgBMnTqjuzZs3V+/n8OHDNG/enJo1a9KmTRtOnTqlpk87MCuRSCT/6UhDV/JGonQolE6FxWLBYrEwduxY0tLSmDNnjiqnoIxynzp1ioULF/LHH38wYMAAXF1dAVi2bBnh4eG0bNmSNm3a8PXXX6thnZycePDgAX379qV79+5899136qi7tmPz/PlzKleuTFhYGOPGjePp06eqDkVu7969PHv2TP12Vztr+MUXX9C5c2cKFy6shpPYR+mg6nQ6XFxc2Lt3L3369KF79+5s3bpVlXN2dmbatGkkJSWxcOFCHB0dc4UXQlC8eHFmzJjBvHnzuHbtGk5OTgC4urqyePFifv31VyIjI1m7di3e3t6qbnvodDqcnJy4evUqu3fv5tNPP6VZs2aUKlUKrDq3bt1Kv3796NmzJ8ePH1fT8vPPPxMWFsbAgQMJDw9nw4YNNtolEokWxciMjo5mz5499OnTh4YNG1K1alWePXvGzZs3+e677zh+/DgWi4UvvviC8PBwcnJyOHToEACPHz/m119/pXTp0pw4cYJBgwbRt29frl69StmyZenVqxcA9+7dY9WqVaSmpjJz5kz8/PxypcMWJycnrl27xtmzZ4mMjOTRo0dkZmZy6tQpFixYwIABA+jZsydXrlyhZMmSnD59mlmzZrFkyRKioqIwm82cOXOGn376ie7du7Ns2TK+/fZb9u3bR05ODsOHD8dgMBAZGcngwYM5fvw4UVFR9O/fn/79+3Pz5k3Kli3L2LFjefHiBTrNjK9EIpH8HZCGruSNxdbIBChZsiSjRo1i+fLlPHjwQJ0pw2rwKLOlw4YNo0GDBgwePBisS8x27txJw4YNKViwIE2aNOHYsWPExcWp+nNyctQZ1/v372M2m3PF7efnx6RJk/j6668ZNmwYixcvZtiwYapBrrNuajVp0iRatWpFnz591LQBanwDBw5U3WTH5PUQQpCens69e/eIi4vLNcBgMBgoVqwYvXr1Upcna5cYCiHIzs6mc+fOhIeHM2vWLNA8Vx8fH9LT0/njjz8oU6YMVatWfWmgRYsy+79ixQpmzJhBUlIS169fV5cu63Q60tLSuHv3rrocGutmZQcOHKB169Y4ODjQq1cv1q5dq87eSCSSl9HpdDg7O7Ny5UqmT59OQkIC9+7d4/r16wQFBbFmzRqCg4N5+vQpBQsW5MKFCwC8//77LF26lMzMTJYvX054eDitWrXi0qVLuLu7U758eWJjY8mXLx83btxQNxIsVaoUixcvpk+fPuTPn19Ng7062sXFhc8++4w6derQqFEjtmzZgl6vB2DUqFF88sknNGvWjKFDh/Lll1/y9OlTzGYzwcHB7N27FycnJ3Jychg6dCh9+vw/9s47vIpib/yfPSedJCQhQOi9g5UaagDpXbqAgkivIigIiALSiwgoRVBEaaKAoEgvoSNFiiC9BEIK6eXU+f3xnt13z3IC3Pu7971ymc/z5MnZKd+Znd2Z/X6n9qRWrVoEBQXx8OFDDh06xO3btxk6dCjlypWjb9++TJo0id9++42AgACqVavGuXPnKF26NGfPnuXQoUNavjy1WxKJRPJ3RBq6kucKvXHraQqWw+Fg0KBBREREMG3aNOx2u2bUWCwWqlSpwpEjR/j666/ZtWsXv//+OwD79+/n7Nmz/PTTT7Rs2ZJFixbx8OFDtmzZAq7R1pIlS7J9+3b27NnD/Pnz8fPzc8tLYGAg3bp1Y/Dgwbz//vtMmjSJbdu28fvvv6MoChkZGYwcORKbzabFx3VPTqeTuXPnUqFCBerUqaPdj+oveRS17IUQOBwOWrVqxa5du9i9eze9e/fW/NS/0aNHExwczNSpU92enclkwuFwUKhQIT766CPWr1/P/v378fPzIzs7m169ejF06FAWL15MpUqV+PHHH906IIxGr6IoZGVlMXXqVPbs2cOxY8fw9vZm8eLFAGRlZdGlSxf27dvH7t276dixIwAXLlzg4sWLrFu3jubNm/Pll1+SmJjI/v37H7lfqahKJP+LOkV5z549nDlzhoIFCzJp0iQyMjLo378/Xbp0YcqUKRw5ckRrd+vVq0d2djabN2/m4MGDvPjiiwQGBpKWlkZCQgIzZsxg4sSJ/P7779SvX5+goCCsViulS5cmNDQUDG2zMOx+LFwdaF999RVxcXHcvXuXd955h+zsbABefvllLe7OnTupXbs2Q4YMYfHixcTFxWn5FEJQrFgx7beKEIKgoCAqVKigueFqX27evMmUKVOYPHkymzdvpk6dOnKWkEQieSaRhq7kuUL/odePyqkKh8PhIDg4mLFjx7Jq1SquXLnipoyoa3nbt29PmTJltNG7bdu2kStXLt577z1atGjB6NGjKViwICdOnABXumazmcDAQAICAvD29nYzdvBgeCuuKax58uTBarXSr18/Tp06xdatWylZsqRb2HPnznH48GEGDx7sNgoteTJqR4Gvry++vr4EBAS4TU9WFAWHw0FERARDhgxh69atnD59+pFyFkLQuXNn6tSpw+zZs7U1tYqiMHXqVI4dO0alSpX4/PPPyczMJDs7223k2Iivry+KohAeHk7u3Lk1BVf1M5lM5MqVS3uPV61aRcWKFenTpw+tW7dmxIgRlCpVSutsUZVo/TsnkUj+B7W+5cuXj4iICKxWK3v27GHbtm2sWLGCX375hfbt25OdnY3D4eDll1+mdevWzJ49mxs3btC+fXtwbUQXGhrKxo0b2bFjBwcPHmTjxo34+/trS2T0nVqpqakkJiYiXOtf9XXT6XQSEhJC7ty5yZ8/P97e3tp3Qm1fAH744QdSUlLYv38/q1evpnDhwtpxSSaTCbvdroVV8ff3JyMjgz/++ANcaVmtVoTriCW1M3ffvn38/PPPVKxYUeskk+2HRCJ5VpCGruS5Qm9U2u12bddLVXlQFZCWLVvyyiuvaIoJrvNN1d/BwcG0atWKY8eOcfLkSb799luGDh1K//79GTx4MG+99RazZs1izZo13Lp1C29vb+7cucN7773He++9x8iRI7X1XbgM6EWLFtGhQwe+/fZbpk6dyujRo+nVqxclSpRgzJgxfP/997z66qt8/fXXDB8+nIULF2KxWAD46quvUBSF5s2bazIlj0f/LiiuDVhGjx7NqFGjGDNmjLabst1u1xTFvn37Urp0aW7cuKEZmDabDZvNht1ux9vbm5EjRxIfH4/FYsHHx4cvv/ySYcOGceDAAe7du0ehQoUICAhgwoQJvP7661pe1PyoiuTKlSsZP348vXv35o8//qBbt27gWre3c+dOxowZw8iRI5k8eTJ//PEHW7dupU+fPgwcOJBBgwbRt29f+vTpw6+//sqFCxdcdy2nHUoketT69tVXX/Hhhx/Sp08fdu3axdChQ8mbNy+KonDgwAGWL1/O4sWL8fX11b4D1atX59SpUyiKQuPGjQGoX78+TqeTIUOG8Ouvv7J8+XK6du0Krpk9qgGq8u677/LWW29pnaj6diArK0sLp+LJyAwODsZms7F//34++OADLl++rN2Xfvd3p9NJdnY2FouFyMhIXnzxRT755BM2bNhA586dGTJkCG+++SY+Pj706dOH3377jTlz5jBy5EjsdrvWTsk2RCKRPCuYJ02aNMnoKJH8t6J+/E0mEykpKbz44ou89NJLJCcnExcXR58+ffD19cXPz49XXnmFihUr0rhxY/Lnz4+vry/lypXjpZdeQlEUypUrx/3793nppZdITU1lzJgxBAcHa2mUKVOGO3fuUK1aNcqVK0exYsXIlSsXuXPnJigoiPLly1OgQAEtb4GBgTx8+JDp06dz9epVpk6dysCBA/H398dqtVKnTh0KFiyIn58fISEh+Pr68sILL+Dt7c2lS5fo27cvL7zwgtv9SnJGfU6Ka8fVUqVKac8nd+7cvPDCC4SGhpKcnMzrr7+Ov78/3t7eREZGUqlSJSIjIwkICCAuLo5ixYpRr149AEqVKkWVKlWIjIykYsWK+Pn5sX//fiZPnszbb7/N8OHDCQsL49tvv+XevXv079/fLV9ms5nixYtToEABfH19KVKkCO+++y4NGjRAcY04lS5dmqCgIIKDgwkPD6dYsWIkJiYyfPhwt3ewZMmSxMfHU6NGDfLmzeuWjieFWSJ53jC5drovUqQI/v7+5MuXj2HDhtGkSRNtN3t1uULPnj2pWrUqNWrUQFEUXnzxRRYuXMgbb7xBy5YtAShYsCANGzbkxIkTTJkyhczMTPr06UP58uXx8/MjPDyc2rVrg2sG0YoVK1AUhW7durmNlprNZvLnz88rr7xCvnz5ND8/Pz+8vLyoVasW+fPnB+Cll17Cbrfz3nvv0a1bN8qVK0eLFi0oXrw4vr6+1KpVi8KFC+Pj44OiKFStWpWSJUsSGRnJjRs3mDVrFpUqVWL06NGUK1eOxo0bc/z4caZNm4a3tzddunShbNmyWnuJbD8kEskzgiJk15zkOUKvSOhffeEaufPx8dGFfjLqaKA6mqeXj2u0Tz2OJifUfCiunvLMzExMJhP+/v6af05KxeP8JE/macrPbrfj5eWVY1h1UzF1urMnHA4HmZmZ2lTjc+fO0bVrV5YvX06tWrWMwXMkpzzgmsqovr/Gd0r/zucUXyJ53nia+iBcI6u+vr5aHXe6joJTZ1GsW7eOqKgoLbyiKNhsNrKzs/H19cXHx0dz19fNvXv3MmDAAH799Ve35Sie8uXJTe/ucDjIysoiV65cOJ3OHNsjNX1cebDZbFgsFnx9fd2+YXa7Xcu/cZmGRCKRPCtIQ1cikUj+j1CVyKtXr3LhwgVat26NyWRyU34lEsmzwZAhQ7h06RK//fZbjobl4zh37hxJSUnabJCcjFmJRCKR/HNIQ1cikUj+zeg3mdErsjm5SySSvz9ZWVkorunE/6iRqg8vXJs8PW7mj0QikUj+caShK5FIJP9mjEqwfgRXjuZKJM8n+nZBnQ4tkUgkkn8dslWVSCSSfzN6g1a9xmDwSiSSZwt9nVZHZZ8WNazTddyQfgmDRCKRSP41SENXIsmBf4fSkZPMnNxz4knhjQqY5Mk8qZye5P8k9CM3Rln/iJKshnva8BKJ5P8fT/XN2GH1tAjdSK5exr+iw+tf3fb/K2RIJBLJfwpp6EqeO4wfbuO16qY3KDyFwWB0GMOobnp3oyKjj58TRhm45BjP/jVivAfJozzu2ZBDuendPD2bnK7V/4rriA5Pf57iq6hpGRVk1e9JvyUSiTuPqx9qh5SxY+pxcfQY2wbjNbo6rK/7nsLpUf30YfVu/4yf0R1Dh5xwlYM+nEQikTwLyDW6kucK/euekJCAzWajYMGC2O127ty5Q1BQEOHh4QiXQXH79m0CAwMJCwvj4cOHJCUlIYTAbDYTHh5OUFCQ29qqzMxMHjx4QGhoKLlz59YUmKSkJB4+fKjJdTqdhIeHExoaquXHZrMRGxtLdnY2JpPJLYwQgri4OFJTUwEoUKAAgYGBWty4uDhSUlIQQhAaGkp4eDg8Zsqs5H9RyzYtLU17PgBFixYFICYmhtDQUEJCQjRlLy4ujty5c+Pv709ycjKJiYmULFlSi5uVlUVSUhL58+d3W3enfx45PQuHw8Ht27dxOBw4nU5y585Nvnz5NP+YmBiys7O198jb25uIiAj8/PwAyMjIIDY2lvz587u9IxKJ5FHU+uZ0OnE6nQQFBZEvX75H6qda39Q6rNZrY/uqr9+qUWjcWd3429hO45KrtgO4DM/g4GDy58//SHwVfZp62UZ/Pcb4RvT3jSu8ouuYk0gkkr81QiJ5znA6ncLpdIrevXuLdu3aCSGEuHPnjvDz8xNRUVHCZrNpYStVqiTmzp0rhBBi3Lhxwmw2i/DwcBESEiLq1q0rzp8/r8kUQohly5YJRVHEu+++q8kQQojPPvtM+Pj4iLx584o8efKIkJAQsWDBAre4d+7cES+99JIIDg4WefPmFUFBQeL9998XQgixY8cOUaBAARESEiLMZrN4/fXXRWJiohBCiP3794vKlSuLPHnyiKCgIFG+fHlx4sQJIYQQDodDOBwOLR+S/0Utd6vVKl5//XXh4+MjwsPDRd68eUX+/PnFlStXxK5du0RAQIBo2bKlyMzMFEIIkZaWJlq1aiWOHTsmhBDiww8/FIqiiCVLlmiyjx49Kho1aiSSkpI0NxU13ZxISEgQYWFhIiwsTISGhoqiRYuKL7/8UnuOr776qvDz8xN58+YVISEholKlSuLChQta/BkzZghFUcTYsWN1UiUSiSeSk5NF3rx5RWhoqAgJCRFFihQR06dPd/sOGFHrsPot8eRndNOH1YdR67UxXmpqqihSpIjInTu3CA8PFwEBAaJ///5uYVSMcT3lS0WfF/23ISd34cqj8R4kEonkWUBOXZY8V+h7uG02G1arFQC73U52djb79u1j5cqVWnir1ar1qGdmZlK+fHmOHTvGjh07SEhI4KOPPgJXr7fNZmPbtm0UL16cPXv2cP/+fU2OxWKhaNGiHDx4kCNHjnD06FHeeOMNzR9Xfry9vVm3bh1HjhzhxIkTDB06FFyjdB999BF//PEHX331FZs3b+b7778HYNGiRURERHDu3Dn27NmD0+lkxYoV4MqX3OTk8QghyMrKok2bNhw7doyDBw+yf/9+SpcuzYMHD8jOzmbbtm388ssvWniLxaKVaWJiIkIIFi1apD1zIQQ2m01Lw+FwcOfOHR48eOBxVEWPEIKkpCRmzpzJxYsX6dChAxMmTODatWsApKSk0K1bN06ePMmxY8fYtGkTJUuWBNd7/O2331KgQAGOHDlCSkqKQbpEItGjKAqpqalMmTKFixcv0rt3bz766CNOnz6thUlLS+PWrVukpaWBq62Oj4/X6rEQgoyMDJKTk7XvS0pKCrdv3yY1NVUbAc3KyiI5ORmHw8Hdu3ex2Wza7B1VjipTURSSk5OZOnUqp06d4uTJk0yYMEGTbbFYSEhIID09HUVRsNvt3L17l9jYWLeR59TUVGw2G1lZWdy9e9dtJNZkMpGRkcHt27dJS0vT8mkymXj48CE3b94kLS0Nk8nk1m49rv2SSCSSvxPS0JU8V+g/8kI3/Uz9wFesWJHPPvtMM1j0H3en00lgYCAlS5akWrVqVKpUidu3b5OZmQmu6ayHDx9m4sSJXLp0idu3b7ul5efnR7ly5ShTpgzlypUjLCzMTWEwmUyYzWbKlClDqVKlKFeuHIUKFUIIQdu2benfvz9FihShU6dOhISEkJ6ersVNT08nIiKCcuXKPTLVVeIZ9V1QFAWHw0F4eDglS5akXLlylCtXDlwGav78+alYsSKTJk0iKSkJLy+vR6YjlyxZksuXL/PZZ5+B61mqZGVlMW7cOGrVqkWDBg3YtWuX23toRH3nChYsSEREBK+99hqZmZlap4wQgnz58lG0aFHKli1L6dKltWnLf/75J2lpaXzwwQdcvnyZc+fOGaRLJBIjiqJQqFAhChQoQJcuXbBYLFitVmw2G1OnTqVly5bUrl2b9u3bc+HCBWJjY2nVqpVWlxVFYcyYMSxcuBCAbdu20aRJE+rUqUPLli25evUqAMuXL2fUqFH079+f6tWra98IVYYxTwCFChWiSJEiVKhQgUKFCpGYmEirVq2YN28e9evXZ/jw4Rw8eJCePXtSv3596tWrx5gxY7BarVitVrp06cLUqVPp3r07kZGRTJo0iZSUFBRF4fjx43Tt2pXatWvTqlUr9u3bB8DBgwdp2rSpds8nT550y5NEIpE8K0hDV/JcYvxgqz3pH374IZmZmXzxxRdu/gBms5m4uDi2bt3KwoULOXLkCN27dycgIACAL7/8kpIlS9KsWTMaNmzIzJkz3eLGxMQwbNgwBg4cyPz587FarW75EEKQkpJCzZo1KV26NJMmTSIuLu4RJWjbtm2kpqZSqFAhAPr06UNcXBytW7fmjTfeIDQ0lOHDh2syZe/7k/H29mbfvn0MGzaM/v37a6O3TqcTX19fZs2aRVJSEt9++y1msxl075DD4aBs2bLMnDmTxYsXc+PGDc3Q9ff355tvvuG7777jt99+Y+nSpXh5eWnpeno2Qgi8vb05evQoGzZs4KOPPqJhw4aUKVMGAF9fX3755ReGDx/OwIED2bNnjxZ3yZIlFC9enIEDB1KgQAE2bdrkJle+DxLJoyiKwuHDh/nhhx/o3bs3DRo04JVXXiE5OZmbN2/ywQcfsHfvXrKysvj4448pUKAA8fHxmmEYHx/P999/T7ly5Thx4gR9+vThjTfe4NixY5QoUYIBAwYAcPPmTVasWEFCQgKjRo0iJCTEkBP3b5OXlxcnTpzgt99+Y/PmzVy7do2MjAyio6OZP38+bdu2pUmTJvz1118ULlyYvXv38vHHH/PFF19w/PhxAA4dOsSiRYto06YN8+fP5+OPP2b37t04nU5GjBhBcnIy27dvp2vXrhw8eJA//viDN998k06dOnH69GmKFi3KqFGjyMrK0vJm/H5KJBLJ3xVp6Eokug93uXLlGDx4MMuXLychIcHNyDSZTMTFxbF48WKGDh1KzZo1tanFDoeDHTt2EBkZSUREBC1btuTgwYPcu3dPi2u1Wrly5QpXrlzh5s2b2pRolTx58jB06FDGjRtH9+7dWbhwoSZfNU6SkpKYNm0a9evXp2vXrgCULFmSAgUKcOnSJXbu3Em+fPm0TYikQpIzeoNPURQePnyoPZ+4uDjNz2azUbJkSXr27Mm8efO4f/8+ZrNZi+9wOMjKyqJr164UKVKEOXPmuBmzJpOJlJQUfv31V6pWrUqDBg20uOrzMRqgZrOZHTt28N1333Hv3j3OnTunTV1WFIWkpCSuXr3KlStXiImJAeD+/fvs37+f1157DS8vL7p3786aNWt4+PChW1oSieR/Ea7NBbdv386qVau4c+cOly9f5sqVK+TNm5dly5ZRunRpLl++TL58+Thz5gze3t4MHjyYr7/+mqysLNauXUuxYsVo2rQpJ0+exOFwUKhQIf744w/8/f05fvy4tsShRIkSfPHFF4waNYo8efJo9V542JTK19eXTz/9lGbNmtGuXTs2bNiAj48PAP3792fq1Kl06dKFt99+mxkzZhAfH092djZ58+bVRpttNhsDBgygd+/eNGzYkKCgIO7fv8+hQ4e4ceMG77//PpUqVWLQoEFMmDCBLVu24HQ6qVChAr///jtFihThzJkzHD58WMuXRCKRPCtIQ1ci0Rk9NpuN/v37ExwczEcffaQpH7jWP1aoUIFt27axfPlyduzYwR9//AHA9u3bOXHiBN999x01atRg+vTpxMfH88MPP4BrrW/RokX58ccf2bZtG7Nnz8bf399NqQkKCmLgwIGMHDmSTz75hPfff5/Nmzdz6tQpFEUhIyODIUOGkJ6ezuLFi/H29iYrK4uRI0cSERHB8ePHOXbsGKdPn6Z///5a3qWB82RsNhstW7bk559/5tdff6VXr16an3AdrTFkyBDMZjMTJkzA399fK1ez2YzD4SBfvnyMHz+elStXsnv3bnx9fcnKyuKdd95h4MCBLFu2jLJly7Ju3To3hdZo5AJkZ2fz4Ycf8tNPP3H48GFCQkL48ssvNb/27duzdetWtm7dSo8ePQA4c+YM58+f5+uvv6ZatWosXryYe/fusWvXLi0diUTyKHa7nQ8//JDNmzfz+++/U758eSZNmoTFYuHtt9+mS5cuLFiwgOPHj2uGZsOGDXn48CHr169n+/btvPzyywQHB5OWlkZqaiqLFy/W1tk3aNAAf39/7HY7FStWJCwsDHTGLbqOKH3nV0ZGBsuWLePBgwfcvHmTkSNHkp2dDUDNmjW1sPv376dmzZqMHDmSlStXEh8fj7e3N4prWYa6g7y6FlhRFKxWK35+ftpMEbV9yM7OJjY2lsWLFzN79mz2799PrVq1yJs3rxZXtiUSieRZQRq6EolhGmpgYCATJ05k5cqVXLlyRRudUz/uiqLQuXNnypYty/Tp0wHYsWMHwcHBTJgwgZ49ezJhwgRtgyg1jtlsxt/fH19fX02m3hB1OBxuCoS/vz8+Pj6Eh4djtVp55513OH36NL/++iulS5cG4Pr16xw9epTWrVsTFhbGCy+8QFRUFPv37+fOnTuaLKSh81iEENpz8fX1dVtji0sRLlSoEMOHD2f79u2cOnXK7b0QQuBwOOjUqRNRUVHMnDkTu90Ormc8c+ZMTpw4QYUKFVi2bBlZWVng6gBRw+hR3xdFUYiIiCA0NJSMjAzN39fXF0VR8PPz0+KuWbOGsmXLMmTIEN566y1Gjx5NyZIl2blzpyZTIpE8ilr/1fqWP39+srOz2b17N7/99hvLli1jx44ddO3alaysLBwOBy+//DLt2rVj8eLF3L59m2bNmmmywsPD2bp1K7t37+bgwYNs3ryZgIAA7QgjPXa73W3jOj1Op5O8efOSL18+ihUrhq+vr5ufytq1a0lPT2fv3r2sX7+eEiVK4HA4tDqvD6t+c8xmMykpKZw9e1bzU8MWLFiQ77//nt27d7Nv3z62b99OlSpVtLZOtiUSieRZQRq6kucS4RqlUxUMoxHYunVratSogRBCM1hsNpumMAQFBdG+fXtOnTrFmTNnWLduHcOGDWPw4MEMGTKEd955h5kzZ7Jq1Spu376Nt7c3sbGxzJo1i2nTpjFlyhRtDZWa9ueff06vXr34/vvvmTdvHiNHjqRXr14ULVqUMWPGsGbNGho1asSWLVuYOnUq33zzDaGhoZQsWZLPP/+cTZs28eWXX7Jx40batm1L0aJFcTqdUjl5So4cOcLMmTOZMWMGM2bMIDU1VTNg1ec+YMAASpQowY0bN7S1uqq/EAIvLy9GjhxJYmIiFosFPz8/FixYwAcffMCBAwdISUkhNDQUf39/Ro8eTfPmzSEHI3TTpk3Mnz+fESNGcOLECW3k1svLi0OHDjFnzhymTJnCokWL+PPPP9m2bRt9+/Zl+PDhDB48WJuu+Ouvv3L58mXIIR2J5HlG7dRau3Yt8+bN49133+Xnn39m+PDhhISEYDKZOH78OEuXLmXRokX4+/tr7UFkZCTHjx/H6XRqhm69evWw2WwMHTqULVu2sHr1ajp16gSutkLfniiKwsCBA+nSpQt4+A7pOz89+akEBASQkZHBrl27GDduHBcvXnQLq37DcJ0AkJWVRf369alYsSKzZ8/mp59+onv37vTr14/u3bvjcDgYMGAAv/76K4sXL+b999/HZrNp7YcxLxKJRPJ3xTxp0qRJRsenRSrPkmcN9Z1VFIX4+HhKly5N9erVyczM5M6dO3Tp0oXg4GB8fX0pXbo0YWFhNGnShCJFimCxWChUqBC1a9cG19rYK1euUKFCBZKSkhgxYgRhYWE4XUc7FClShGvXrtGwYUPCw8Px8/MjJSWFrKwsMjIyKFWqFMWLF9fqUGBgIJcvX2bVqlX8+eefvPvuu7z33nv4+fkRFxdH+fLlMZvNpKamkpmZSUZGBo0bN6ZevXrExsaycuVKrl+/zuDBg+nXrx+5cuXS7lu9Z4k7imsanre3N/7+/mRkZJCenk52djY1atQgV65cpKWl0bp1awIDAzGbzbzwwguEh4fTqFEjAgMDefDgAREREURFRYHrvQgPD+ell16iatWqmM1mtm3bxqpVq2jYsCHjxo0jLCyMb775hvj4ePr27ftIftSRm+TkZPz8/Bg9ejSNGjXS/NUpkuqO3yVKlCA5OZl33nmHPHnyaPIiIiK4ffs2kZGRbjtxy3dBIvkf1G+Cn5+fdjzQkCFDaNGiBcWKFSM0NJRFixaRnZ1NixYtePHFF6lfvz6KovDKK6+wYMEC3nzzTVq0aAFAkSJFiIyM5ODBg1pHZ69evahUqZK2frZOnToorunDS5cuxcfHRzN21bqpKAoWi4XatWsTERHhVmeTk5Np1KgRERERAFSpUoXExEQWL15M1apVeemll4iKiqJMmTIkJSVRr149ihcvjslkIjk5mVq1alGmTBmqV6/O1atX+eabb8iXLx/Dhg3jpZde0vK/evVqkpOTadmyJZUrV9YMXNl+SCSSZwVFPGXXnPoxkMat5FnH6XRqZxeqBqDT6cThcODt7e3mrq8e6nuv+gvd2kqn06nFVWWbTCbsdjsmkwmTh7NsPcl3Op1YLBZwTV3WY4yvosbLzs7GbDa7TW+TPB694mYsX9XN4XBo04jV56pvD9XRGf0GVeq7ooaz2+1YrVZ8fX0xm82cOXOGrl27snz5curUqeOWtnAde2V8N9C9u5781HOY9Xkjhw5J47VE8jySU/1Xr9X/FosFb29vTLrzZBVFYefOnfTs2ZM1a9YQFRXlVtfUOu/t7a3VSz2KorBjxw4GDBjA9u3bKVu2rMf2wxPGOq241uKqbYxwbbDlSZ7ahqjuNpsNu92Ot7c3Xl5ebt8uY/4VVxuoyI5TiUTyjPBPGboqxmuJ5FlC//F/0kdbrzAY64A+jNAZKU8j0yhPxVPePKX7JDdJzujLPqdnldMzMj4fvb/qZgyj5/r161y8eJEWLVo8YjjjIT9Cp6AKgyGsGAxwFU/vg6e8SCQSz3VO765e6+v3oEGDuHTpEjt27MDLy8tj/dPH1aMoCmfOnCElJYX69es/Es7YHgjd98VTWBV9Hdf/Vg1UNbyn+1PdjWVhxNP9SCSS54cntRF/J57a0JVI/hvJSSnw5O/JPSd/FX04nrJx8BQnp3zmFEby7+FpnzuPeXf0PO69eFJaRvenlZVTGInkecdYp1Q3cqgz6qZy+h30c2qb9b891et/ZqTUKMOI3l/NAznk0Ygn2Z7cJBKJ5O/MP2zoOhwOLBYLZrNZm7InkTxr6D/0RsVDcU0DU8Pk9GEXHkZvjfJwbXZiVChyqnaeFAl9OupvNY+4ZKpxPI3sSTyjlqX624himKZnfLb652R8B/RxVFmqn3BNK1SnRKvT21WMclU3/YiM3s34bujzqc+DRCJx53H1WI+xHqnX+vZfvzmUsQ3Wx1fDG+uopzquD6+Xof7W+xlle8IYXk3PZDJpG1+pm+wZ86+f8uwpnxKJ5PnBZDI9M8vkntrQVRvIuLg4rl275rb+w4i+4dY3xsLD2rNnGU8fnv8r9B8eT3nQ/1bL3ai0P48Y7139WBvLw1M4/bvsyd/4PPTxPIU3pmlEH9coW32m6rWnMJJ/Dv2zUd8PT4qd8Z0w8rh3xdNzVGUY/TCM9qhh9e+GPq4aTsX4PuSUX4nkecNYb4z13lh3VHdje2Csx8LQ8WRErbePa9PVcCrGPD4OYzvgdDrdBieMcjylrQ/3z+ZDIpH89yFcG2JWrFjR6PW35KkNXZW4uDhu3rypKWA5oe/9w/DB8NR4/itRG211VO7flY7Kf6LR13+YnqYs9R9W/ccOqfhKJBKJRCKRSCSSJ6AauuXKlTN6/S15vLXqgacxiIy9g2azGS8vL83w/XcaVsI19cZkMuHl5WX0/pdhNpvx9vbWrv+vDV10h8Dn1KHg7e2tjbzrjVzFdVi8Wj7/CUNdIpFIJBKJRCKRSP5d/MOG7tOgH0W1WCxkZGSQkZFBVlYWims9yL8Lk8lEdnY2N27cID093eN0nP9fTCYT169f59ixY2RkZPyfjBp7QjVQ1Y4DPz8/zXi12WwcPXqUa9euuYVTy/7hw4dcuXJF8/t3PhOJRCKRSCQSiUQi+b/k32bd+Pj4sHnzZkaMGMHIkSMZPnw4w4cPJzo62m0kVEVvKOoNU/W30Vg1uqv/fX192bFjB6+//jozZsx4ZKOXnDCmaUxPj6+vL99++y0DBgzg1KlT2hlzj4uDoQNARTVS9X+PQ01DNeDVOBkZGWzdupXY2Fh8fX1JS0tj4MCBDBkyRDv/T82jzWajd+/edOnShdjY2EfOjvWE3u9J9ymRSCQSiUQikUgk/0mebAF6ICdjSEUIgbe3NydOnODkyZPcu3eP9PR0MjIytCnMXl5emhwfHx+3az8/P21qrXqAua+vrzYV12w24+Pjo6Vncu3+5ePjg91up0qVKlSvXp2aNWvi4+OD4pqqq07f9fb2RtGtE/b29tbyoP8zTk9WUY0+1XA0m81u+VPTVI1Hb29vfH19NXnqroaKaxRWLQ8vLy/NKNXnSZ1yLIRwc1Nl+vr6sm/fPsaNG8fJkyfx8fFBuEZp1fS9vLy0fPn6+lKzZk1atWpFcHCw5qbes7FsfXx83Mr93zFKLpFIJBKJRCKRSCT/Kv7hzaji4+O5efPmY41dIQSBgYGMGDGCHTt2sHTpUho3bkx2djZ2u52jR4/y66+/0q9fPwoUKMDOnTs5cuQIffr0oXDhwmzevJnTp0/jcDho1KgRjRs35tChQ2zfvl0zIGvXrk3z5s1JTExkxYoVFC5cmJs3b5IvXz46d+7MsmXLKFOmDPXq1WPDhg34+fnRvXt37t27x9q1aylYsCAdO3Zk7969/PHHH5QsWZKzZ8/i7e1Nx44dOXfuHGfOnCE8PJy33nqLXLlyaYarn58fH374IZs3b+azzz7jpZdeYs2aNdy/fx+AiIgIevToQe7cudm+fTuXL1+mYMGCnD17lly5ctGhQwdKly6Noij8+OOP/PHHH5oh6efnR7du3Xj48CE///wz6enpFCpUiAEDBiCE4Pfff2f79u04HA6Cg4N58803SUxMZOLEiVy6dIkqVarQtGlT6tWrx+uvv06uXLno1asXN2/epGLFirRr147AwECWLVtGcnIyb7/9NnFxcfz0009kZGQAUK5cOTp16oSiKGRmZvLzzz9z+fJlTCYTVapUoXnz5tooNnKNr0QikUgkEolE8l+PeMY2ozJPmjRpktHxcWRmZpKcnPxYQ1dRFHx8fPjtt9+4du0aL730El5eXsTGxhIQEMCBAwdYsWIFrVu3pmDBgsyfP59ff/2VTp06sXv3bj755BOys7NJSkri7t27tGnThkWLFnH48GFSU1O5cOEC0dHR1K5dGy8vLyZOnMju3bu5cuUKVquVBg0aMG7cOLKzs4mMjGThwoXExMTQuXNnzp49y+TJkzGZTLRs2ZKtW7eycuVKTp06xYMHDzh69Ci7du3i999/Jy4ujgMHDpCdnU2DBg2w2WwIIfDy8mLfvn1cunSJdu3aERMTw+zZs8nOzubevXvs3r0bgAYNGrBu3TpWrVqlrec9dOgQx44do127dmzZsoXJkyeTlZXFzZs3OXbsGPfu3aNu3bqMGjWKq1ev4nA4uHHjBpUqVeLatWuMGDGChIQE0tLS2L17N3fv3qVAgQJs3rwZq9VKdnY2fn5+vPrqq/z444+kp6fz119/cfXqVfbu3UtAQAB169Zl4sSJ7N27lx49erBt2zY2bdpEeno6169f57fffqNYsWKUL1+eKVOm8PXXX+NwOLh+/Trbtm2jQoUKlC5d+pHdmyUSiUQikUgkEsl/L76+voSHhxud/5b8U1OXn4Q6JVhl8uTJtG3blh49enDu3Dm3qbHodg02mUzExsYCUK1aNdauXcuiRYuw2Wx06tSJXbt2cfDgQYYNG0ZSUhJbt24lICAAs9lMaGgoX331FQMGDNA2iFJRR0vRGWXqKKQ6Evnmm2/y/fffU6JECTIyMpgyZQqfffYZAH/88QeZmZlaPvUjmBaLhQoVKrB69Wr279/Pxo0b8fLyYv/+/QQEBGjp9e/fn19++YUCBQpw69Yt7HY7169fx8fHh/nz5zN+/HgA2rdvz4svvsiDBw8oXLgw06dP58cff6RixYp8/fXXZGVlsWrVKvbt20fNmjXZs2cPr7zyCoMGDQJg+PDhzJw5Ez8/P+x2O4GBgXz11VdMmTIFgBs3bmDWnYFstVqJiorixx9/JDo6mk8//RSA/fv34+XlxS+//MLLL7/MwYMHWb9+PSaTiZUrV2plgW73Z4lEIpFIJBKJRCL5O/BvMXQV3RpWgJdeeonGjRvTtGlTKlasiMPhAJdhq4bFZTQ2a9aMSpUqsWHDBlq0aMG6devIzs4mIyODTp06Ubt2bZYvXw6Al5cXQggcDgd58uShatWqVKtWDavVqslW15Oqxrc+b2oYgGLFihEUFERERATBwcGULVvWzYBTDWUMhq46hXjFihVUq1aN7t27Y7fb3cIAVK1aVRsNxmUc5suXD6vVytixY5k7dy4mk4lXX30Vq9VKy5YtOX/+PB07dmTMmDFYrVZSUlJQFIWhQ4fSuHFj7ty5Q3BwMElJSdp96DsZhGsKeaVKlShcuLCWF3SdCw6HAy8vL8aMGUP16tVRB/h9fHz4888/EUJw7do1GjduzIABA/D393dbp6umJZFIJBKJRCKRSCR/F/4thq5+pBRg4MCBfPHFF3z66acEBQVphu6DBw/w8fHRrm02Gy+88AIrV67ko48+QlEU5s+fz7Fjxxg1ahQmk4kPPviABg0aaLJVQ8vhcJCdnY3NZnPbLEk1xh4+fMjDhw+1jZqMBprNZsPpdGp/NpvNzV/FGA9g5syZ/PLLL/To0YOBAwdqRq5qVANkZ2e7lUlWVhYJCQmEhYVRoUIFXnzxRSZNmkTt2rUBmD17NkuWLOHll19m69atbNu2jTx58iCEoHv37owaNYqPP/6YBQsWULp0aaxWK7gMWLPZjOJay4xr1FYtY70RDJCWlsZHH33EjRs3GDFiBO3bt9f8CxQogKIohIaGMmbMGEaOHMnnn3/OhAkTyM7O1tLwVCYSiUQikUgkEolE8p/i32LoGg2frKws7c/pdJIrVy4AvvjiC8aMGcPBgwfBtdvyokWLWLVqFQULFsTf31/bBMpisRAWFoa/vz/nz58H16iouhsxhpFW1dj28fEhKCiIv/76i5kzZ2pTc1Vj2LjOVC9PjypP/VNxOBzabtKFCxfm6tWrmr+aPxVFUTSD0263k5qaSnJyMmfPnuXChQtcu3aNW7ducevWLYYOHYrJZCJPnjwABAQEULNmTQAOHTpEfHw8ly5dYtu2bWRlZREUFATAvn37WLNmDampqZhcuzXrjVF9+SiKgt1uJzs7G39/f/Lmzcu1a9fAlffcuXNTvHhx7t69y/nz57l//z7bt2/n5MmTjzxjiUQikUgkEolEIvm78G8zdJ1OJ3ny5MHHx4fAwEBwGVcOh4M6deoQFRXFxYsX2b17N6+//jq5c+fGZDJRokQJVq1aRf/+/UlLS2PEiBHUrFmT9u3bc+TIEXr37q0ZYWFhYZhMJsLCwggLC9PS8PLyIk+ePISGhhIQEECPHj3IkycPGzduJDw8nJdfflkztnPlykVoaCi5cuXCZDIRFBRE/vz5tWN78ufPT2hoqHZfuIzAsLAwvLy8CAsLo3v37oSHhzN8+HA2bdpE6dKlCQkJwel0EhwcTGBgIH5+fgghKFiwIPnz58fPz4/AwECcTic1a9akcuXKrF69mn79+hEfH8+9e/fo06cP27dvp1evXjRo0IB27drRrVs39u7dy/vvv8/8+fO1I4Hq169P+fLlOXDgAHv27MHf3598+fIREREBrqnIuXLlIjg4GLvdTnh4OHny5CEiIoJu3boRFxdHjx49uH79OkWLFiU4OBiAqVOnUrFiRWbOnMlHH33Ejh07tOOfMEzplkgkEolEIpFIJJK/A//y44XUUVVFUbBYLOAaPVWPoxGuc2cdDgdOpxO73Y6/vz+ZmZna2bEWi0WTo55j63A4EK51tRaLBW9vb5xOJ2azGbvdjtN11q46aqqG9/b2xs/Pj7S0NHxc5+yaTCYcDoc2bdpms2kGo8PhwG634+vrq+UP1w5jetSpwmbXeb9Wq1X77+3tTXZ2NgEBAVre1A2x1LzfuHGD3r17U7p0aT788EOysrKYNm0ad+7cYeXKlZQuXVq7By/XGcPqo1LvwW63u53zq6at3o/dbsfhcODv76/di+I6VzcrK0vLkxpHURQtrtPpxNt15m92drY2HdpqtWry1BFjiUQikUgkEolE8t+NeMaOF/qXG7p6jGFU40g1hNU/h8OB2WzG6Zo2rLqrcfTXRlR/dNOLTa5NpvRGmMm1+ZJ6u3p/Vb56rV/jq0dv3Kkjmcb86eU7HA4tL7iMddVgzM7OZtasWfz000/4+/trcd5//33atm3rtqGVp7x6clf/6/OuhtHnUX8fqr9ZtxOzXi6u8lDjYJjGnVNZSSQSiUQikUgkkv8exPNg6N64cUMzmjyhGkDq76dFlWmMozfsVANLn77eT28I6uOr4fTy9L9zyrMxrj6O3s9TfL1s9VpxGZHqiOvFixdJTU3F6XRSsmRJChcurK3jNab1uP/68EajVI9+FFbNj8Ph0H4bw+vx5K+/J4lEIpFIJBKJRPLfiXAZuuXLlzd6/S15akNXNaoSEhKIiYnRDLsnRTcaZJ6MJX049bceNZ7+mhziGP1Ud9X4M6btSa7e3VP4nO7Dk19O8oWr/NSRYcVlcArDZlcqnuQY79GYpt7PeG1Mw3g/xnt4nGzjPf/dMeZbRb1WR9493aP+t7G8jH7GMDmhDydy6DBRr42y9XE9uUmejLHcFF1nkb4cPT0bPY8rd/UZ6lHTUn+reHqmeoz+5JAfiUTyeIz1x9gW/CfQ50HF2Fb8J/MnkUieb4QQBAUFUapUKaPX35KnNnRVhMEQ86TASf59GD+Akn8MT0qC6qZ3z0mx0Jd9TuFV9G76+J6qnNFdPyqvD6Ofhq7+Vv1kvfzH8PQcPCF0Bq6xzNWZDKpRnFO5e0orp3cMl2y9nxHj81bj55S+RCJ5FGMdVOu6sc79X9YrNR9qHfeUtqzvEonkP82z0v48taGrV8DU62flJiUSlZwUCE/u+qqRk5u+Xuj9xFOM/nny0+fBOAXdU3qquzHvkqdDX56eylsfRv9MVdRn8CRD1xPGZ4+H98jopn/u+rz8o2lLJBL3+q//rfp5+v3vRl//jfky5lEikUgkj+epDV0eo5hJJM8ST1IWjIoGuo3EjGFU5cOTQiQ8GCSeUON4UqaMMozy1f/S6PnH0Y+O54R+BFdFf218HsawnnjacHiQr/43Pm+Vp5UrkUj+p36j26ySHOoc/4d1y7iHhhE1T578JBKJROLOUxu6npSzp4wqkfztUFw7X6M7OiorKws/Pz+30Tn12Ctvb2+sVitWqxVFUTCbzfj5+YEHxSMrKwtfX183OWpcffqqXPXa6XSSlZWlhQHcziwGyMzMxOFw4Ofnpx3Zpcq3WCyYzWZtF2/J41HL3GKxuG2mprqrx515ipORkQFAQECA247lOaEe5+Xj46O9J1arVTOk1eO99CiK8sizVFwdItnZ2drRbF5eXk9MXyKReEYI4dbu+vv7P9I5+TT1S62bT+JpwimuvSLUbxSuPHh5eT3y3dHzNLIlEonk/xejvvJ35qkNXT1GxV4iedYQQjBlyhQyMzOZNm0a8fHxdO7cmTp16jB58mQt3BtvvEGrVq3o1q0bS5YsYeXKlTidTgIDA4mKimLUqFEEBARoBuf+/fsZP348/fr1o2fPnpqc9evXs2DBAmw2G7h67YcPH06PHj20MPHx8YwePZrz58/j5eWFzWajV69eDB8+nMzMTBYtWsTmzZvJzMykQoUKTJkyhRIlSnD48GFmzpzJnTt3CAgIYMyYMbRu3VqTSw4dVZL/GakfPHgwx48fx9fXFz8/PywWCxaLhcaNGzNjxgzQld/du3eZOXMmhw8fRlEUunTpwnvvvWcU+whDhgyhcOHCfPDBB+BKd8KECZQsWRKTycSiRYs0JVY1ZMPCwtiwYQNBQUFube7SpUv59ttvyczMpEyZMsydO5eCBQsaUpRIJE9DRkYGHTt2JCUlBZvNRqVKlXjrrbdo0KCBVu8f134+KYzR3XhtRPXPzs6mW7du3L9/H1ydZe3bt2fSpEmPhDVeG92N/sZrvbsxzOPCSiQSyd+dx8+pzAElhyk1EsmzgqIoXLp0ibNnz4JrpHTfvn3MmTOH3377TQt39OhRbt26BcCFCxeIi4tjypQpNG/enBkzZvDxxx9r8gB+/PFHoqOjWbduHZmZmZqc69evc+vWLcaPH8+ECRP46KOPiIyMBF3HUUZGBufOneOdd97ho48+YtKkSdStWxeAzZs3M2bMGDp16sTMmTM5fvw4n332GQCbNm2iRIkSfPzxxwQHB9O/f38ePnwIumlwEs+YTCbefPNNJk+ezKBBg9i3bx8dO3ZkypQpdOzYEQyK37Zt24iPj2fMmDG8/PLLfPDBB2zcuFELpz5LI6dPn+bixYvatcVi4ejRo5w/f55GjRrx8ccfM2HCBLKzs/H19eWjjz5i1KhR+Pn5uU1lTEpK4tdff6V79+4MHjyY6Ohohg4dCrr3SCKRPD0Oh4M9e/YQFRXFJ598wpUrV+jcuTN//vmnVu+NxqH+t2LYGNCIahyq8YyyjH+qv91uZ8+ePTRu3JgpU6YwefJk2rZtq8XFw2CDPr+e2v7HhX8a1HuQbY1EInlW+KdGdCWS/wZ69OhBSkoKP//8M7dv36ZEiRKEhYXx6quv8sMPPxAYGEi5cuV45513eO+99xg2bBjHjx/n6NGjAHTv3p1Lly6xb98+goODuX//PhUqVGDMmDFMnjyZ/fv3U716dQBmzJjBd999xx9//OGWB73yc+vWLbp27cr3339PiRIl3MJFRkaSP39+NmzYgJeXF4sWLWLYsGHcvn2b8PBwvLy8MJvNbNmyhQ4dOnD79m0KFizoppA8rTLzvHL//n0KFixIdHQ0tWvX1tz1zyg7Oxtvb2/MZjMxMTE0adKE3r17895773lUZFXq169P6dKl+eqrr8A1OtOmTRsqV67MvHnzwJXO66+/TlhYGMuXL3eLr3+OWVlZBAQEADB8+HAOHDjA6dOndaElEsnTkpqaSv78+Vm7di1t27bl0qVLVKhQgf3791OvXj22bt1KdHQ0QggCAgIYNWoUt2/f5rvvvqNdu3ZUq1YNgK+++oqCBQvSvHlzbt68ybJly7Barfj7+zNo0CAiIiLYunUrGRkZJCUlceXKFd577z0KFCig5UXfhqSnp1OwYEG+/fZbNwM3KSmJefPm0aRJE7Zu3UqhQoXo27cvixYt4sGDByiKQu3atWnbti1Wq5WZM2dSp04dDh06RGJiIvXq1aNdu3YApKSksGLFCu7du4ePjw8DBw6kcOHCxMTE8Pnnn+N0OvH392f48OGEhYW5GeISiUTyLPBPjehKJP9tOJ1OnE4nEydOJDo6mg0bNri5A5jNZjIyMrh16xanTp3ijz/+oFq1agQHBwOwc+dOSpQoQfv27SlTpozbyLDZbCY1NZU9e/awa9cuTp06hd1uB4Nyk5WVxfjx4xk/fjyHDh3CYrEghCA1NZWyZcvi5eUFQNWqVXE6ndhsNm09MEBsbCyKa/2vHqmcPIo6gqI+X0+jFapip5affs10XFwc9+7dIyQkBFxlnFM5e3l5cefOHfbu3cv+/fvZv38/Dx8+dNtkTP3vcDjc4hrzoBq5VquVa9euua3hlkgk/xz37t3jzp07rFq1iipVqlC2bFkePnzI4sWLuX//Pj4+PixYsIDx48eTO3du5s+fz6FDhwDIzs5m/PjxXL16lfj4eHr06MGJEyfIkycP69at06Yb79ixgx49ejBnzhz27dunrcFV2yJ9+yFcm87FxsYSExPD9evXyczMJCUlhcmTJ9OpUye2bNnCmTNn2LBhAz/88AOhoaHcv3+fnj17cunSJZxOJ7NmzaJt27acPXtWy9v+/fsBGDRoEJ9++ik+Pj6cPXuWefPmaVO5jx07Rt68efnxxx8ZNmwYPGakWCKRSP62CInkOeWNN94QrVq1EkIIcePGDQGII0eOiIEDB4pKlSoJi8UiypcvL2bOnCmEEGL06NECEEWKFBE+Pj6iVatW4v79+5q82rVri3feeUcIIcT48eNFqVKlRGZmphBCiHnz5glAeHl5CUDUqFFDpKamanGFEOLBgweiT58+om3btqJOnToCEFOmTBE3b94UERERYvLkyVrY06dPC7PZLG7cuKG5xcTEiAIFCoh27doJh8OhuQshhNPpdLuW/E+ZqH/CVX6AOHjwoBBCCLvdLlJTU0VqaqpISUkRWVlZbuXYs2dPUaJECREbG6vJy4mmTZtqz9/b21t7D95//30hXHEdDodo27at6NOnjxYvKytLpKSkaPlQwwohxPr16wUglixZ4uYukUienuTkZBEUFCRCQ0NF/vz5BSBefvllERMTI4QQIjMzU9hsNiGEEMOGDRMlS5YUQgjRp08f0aBBA+FwOMTPP/8sypYtK27cuCGWLVsm8ufPLx48eCCEq+0PCgoSKSkpYtSoUSJXrlzizJkzbu2Pvh1S/6elpYl8+fIJPz8/kTt3buHv7y9mz54t7t+/LwDRtWtXLV5mZqbW5l+/fl2UL19efPrpp8JqtQp/f3/RvXt34XQ6RWJiovDz8xPz588XZ86cEQUKFBArVqwQTqdTWK1W8eDBAzFr1ixRunRpce/ePSGEEKtXrxaFChUSJ0+e1PIn2xqJRPKsIEd0JRLdiKeXlxeDBw8mISGBJUuWYDKZND+r1UrlypWJjo6mX79+XLhwQRthPX/+PNevXycmJoZvv/2WO3fucOfOHXbs2AGAzWajTJkyXLp0ievXr/PTTz8RGBgIrp57gPDwcD7//HN++OEHdu/ezdixY5kzZw5xcXHkypXLbWdQm83mti7MYrHwwQcfEBQUxPTp0x/ZNTSnkcbnGWOZGK/j4uJ4/fXXady4MQ0aNGDjxo0orvV2S5Ys4eeff2bmzJnkz5/fLZ6KfmTYYrHQoUMHrly5wtWrVzl79iyRkZHaTtz6tPUjJsuWLaNu3bo0aNCAfv36aWFv3LjBhx9+SM+ePXnzzTcfkSGRSJ4OxbXr+aeffsqZM2f47bffiIuLY+rUqQD8/PPPNGnShMjISNauXavtetyzZ0/27dvHn3/+yYYNGyhYsCDFixcnKSmJhIQE2rZtS61atViyZAkFCxbE4XBgtVqJjIykbNmyWn3Vz9ZQR3ZVbDYbQ4YMYdWqVXz99de0bt1a29Cwa9euWtyEhATeffddIiMjef3117lx44Ymx26307BhQy0NHx8fvL29iYuLw8fHhxo1aqAoCl5eXuTLl4/k5GRu375Nly5dqFmzJrNmzcLLy0v7/sh2RiKRPEtIQ1fyXKIqAcaPtn7Xzblz53Lr1i23qaEBAQEULVqUMWPG4O3trW0IFR0dTWJiIiVLluTgwYOEhITg5+fHnj17wGW8+Pn5UapUKUqUKEGBAgXcFB11mlpAQABeXl74+PhQoUIFbWpynjx53I4nunDhAmazWTO0hwwZwunTp9m0aRPlypUD3T0alSeJO8Z3QCU8PJzZs2czb948Fi5cSJs2bQBYunQpo0aN4osvvnDbsEqPWub6ZxAcHEzx4sUpWrQoJUqUIFeuXG7TlD3lo2PHjixevJiFCxdq0x/v3LlDu3btaNy4McuXL8fX1/eR9CUSydOh1rsCBQoQERFBkyZNaNSoEZcvX+bw4cOMHj2arl278s0339CsWTOsVitCCKpVq0ZUVBQffvghFy5c4PXXXweXYVmgQAEWLlzIwoUL+f7779m0aROhoaE4HA6tzfaE3ujFJat27dq0adOGzp07U7ZsWW3Ji17OrFmz+P7775k6dSqzZ8+mUKFCbu2PahxjODtYf4SRmq7NZqNYsWIsXbqUhQsXsmLFCnbt2kVkZCTCtdTDU1slkUgkf0ekoSt5bhG69ZDGD/eAAQOw2+3aeam4dudUwxcpUoQaNWqwefNmbt++zeeff87AgQNZsGABS5YsYd68eZpydP/+fXx9fUlOTmbXrl3s3buX3bt3c/v2bXDlQ1EUDh8+zLp16/jzzz85fPgw8+fP5+WXX+aFF16gdevWrF69ml9//ZU///yTuXPnMnLkSAoVKsSQIUNYs2YNffv25eHDh+zatYtLly5pBrTEM2rZqIqfca2ut7c3L7zwApGRkURGRhIUFMR3333HgAED6NSpEyVKlGD37t2cOnUKRVHYsmULNWvW1M7E1Y+qOxwOt5Fa/btnRP/M8ufPT+3atalVqxblypUjISGBli1bAtCyZUuOHj3K3r17iY+P10mQSCRPi1ovz549y9GjR9m0aRNr1qyhXr16JCcn43A4qFKlCoqicO7cOcxmM06nk1y5clG7dm02b97MgwcP6NatGwAvvvgiqamp3L17l0KFCuHv78/x48fBVbf17YCiKHzyySf06NFDa6/19d/YZqhx9Ne4Zozky5eP6tWrc+fOHa5fvw4uY9aI0+nEarVSp04dcuXKxezZs7lz5w7r169n9OjRNGzYkOTkZPbu3UuxYsXw8vLSRoiNhrhEIpH83Xm0FZRIngMURSE4OJiwsDDQjbj5+/sDULx4cUaNGkXevHm1zYbCw8OJiIjQZLzzzjskJiZy6NAhkpOTad26taYEKIrCsGHDsNvtPHz4kLx58yKEoGfPnrzxxht0796dbdu2aWFx7YA5duxYGjZsSLNmzcibNy/Lli0DYMSIEdSuXZtOnTpRu3ZtihYtyujRo7HZbKSkpJA7d27mzJlD586d6dy5M0uXLtXyKZWTnNGXjclkIjQ0lFy5cmn+quKpKpVXr14lIiKCvXv30r59ezp27Mgnn3yCEIL09HT++usvt7gq+fPnJyQkxE1ZzZ07N0FBQVoYgODgYHLnzg26DhD1N8CNGzcASE5Opn///nTp0oVu3bppm+JIJJJ/DC8vL8qUKcPSpUtp164dgwcPpnfv3gwbNoyoqChee+012rVrR9++fcnIyNBGSwH69etHQEAA7du3J0+ePAC0aNGCadOmMWDAABo2bEiTJk24dOkSAGFhYYSGhmqzhIQQnD17ljt37oChw9VkMlGiRAltqrSKl5cX4eHh+Pj4aG79+vXDy8uLV155hcWLF1O+fHkCAwNRFIUiRYpobZqXlxeFCxfGz88PX19fZsyYweHDh6lVqxYDBw6kYsWKNG3alAkTJjBmzBjq169P27Zt2bdvn9z0TiKRPJPI44UkzxV6QyMtLU0zcO12O4mJiYSHh2vrcq1WKxkZGfj7++Pn50d6ejoOh0PbZVkIQUJCAoGBgWRkZBASEoKXlxeKrmc+Pj5eO5ZBPzqMawdfVYlRFZzU1FSSk5Mxm82EhYXh7++vGTzZ2dkkJCQghCBPnjza7ruZmZmPTD/z9vbW1gA7nU6PPfvPO8amz+Fw8PDhQ8LCwjwqdeozyMzMxGQyac/Yy3W0U4MGDejQoQNjx459xEhNTU1FURQ3wzYlJQWz2aw9J71bUFCQW/7071RaWtojIz25cuXC19dXc5NIJE9GrWMpKSlu9S1XrlyaIWmxWLT1rOoygdDQUAD++usvatSoweLFi+nWrZtW74Xr25CRkYGfn592BFxGRgY2m03rPL1w4QJt2rThyy+/5LXXXntkWnBSUtIjdVsIQWJiIsHBwfj4+GhpPnz4kJSUFC1vvr6+2kyigIAA/Pz8EEKQlJSEn58fAQEBCCF4+PAh6enpBAQEkCdPHm1Kc2Jiovb9Cw8PdzPO5fdEIpE8K0hDV/LcoRoMnj7WanXQKxuqIpFTGL1yo/5X0ccz8qRwxqppDKMqRUZ3FWO+JO6o5asvH0VRcDgcKK6pxzk9ayPXr19n4cKFTJgwQVM0jeWvl6WX4+k98BRX5PDO4uGdlEgk/3qM9XLUqFHs2LGDvXv3Eh4ebgzuhqe2Y/v27Zw8eZKxY8diNps9tgXk8C3w5GZE38npKX1jJ6jx/vSo6T2uHZJIJJK/G9LQlUgkEh2elLwnoa639TQSLJFI/jswtg2XL1/GYrHwwgsvPGI0Pg12ux2z2fwPtzcSiUQieTqkoSuRSCQSiUTyT/K4kVCJRCKR/Of4x7ofJRKJRCKRSJ5zhIdj26SRK5FIJH8vpKErkUgkEolE8k+ijuYaDV+JRCKR/GeRhq5EIpFIJBLJP4E0cCUSieTvi1yjK3nuUNdRWSwWhBDasQuZmZn4+/tru+0qikJGRgZeXl74+vpisViw2Wworh151TN3VZm4evYtFgs+Pj5ua7b0cdXwPj4+bsdD6Nd3WSwW7HY7fn5+2nFHQgjsdruWb19fX7ezFLOzs7HZbJhMJu3cRE+yJf+LEIKsrKxHFFXhOjZIPdZDX4ZOp5OMjAwURcHf39/t2A01rJGsrCxMJpPbMSFWq1XbwMZms4FOBi45AQEBbu+Mmo/s7Gzsdjv+/v54eXnJ5yuR/BOo9S09PV2rWwEBATluKqfWV319M7YdKvo2Q//fk58+jopwHUmnT8dsNnv87uivFddO/J7SMmLMgzGM0T0nORKJRPJ3RY7oSp471A/79OnTmThxIgBxcXE0b96cKVOmaGEAevTowQ8//ADAV199Rb169ahTpw7Nmzdn9uzZmoGiKheHDx8mKiqKNWvWuMnZuHEjDRs2pG7dupqMtWvXomJUICZOnEidOnU4ceKE5n7hwgW6detGrVq1qFGjBitXrtTC79ixg7Zt21KjRg3q1avH7t27NT9JzjidTgYPHkyNGjVo0KABTZs2pUGDBtSuXZsPPvjgEQXv/v37jBs3jpo1axIZGcmsWbPc5OWkBI4cOZLp06dr10IIJk2axFdffcXKlSupVasW9erVo0mTJjRu3Ji6devSunVr0tPT3eIALFmyhAYNGhAZGUmvXr1ITk7OMV2JRJIziqszs3Xr1kRFRVG7dm0GDx7M/v37wVXn9Mak/sgxPWr7nxPGduRxBqbqlpWVRceOHalfvz716tWjevXq2vfJKEuVYTxKSH/etop6T2o8Naz6G1e7qLqraejDq78lEonk7440dCXPFfoP9F9//cW5c+fANRp68OBBpk6dypYtW7Qw586dIyYmBoBLly6Rnp7OokWLaNGiBR999BFjx47VwgKsWbOGI0eOsHr1ajIzMzX3u3fv8uDBA+bMmcO8efOYN28eUVFRbnHVvO3fv5/ly5dz5swZLe3Y2FhatWpFRkYGixcvZtq0aZQsWRKAEydO0KdPH0qXLs2yZcuYMmUKaWlpj8iVuCNc50GOGDGCRYsWMXbsWA4dOkSvXr344osv6Nu3r1tYgK1bt3Lu3DkmTZpElSpVGDt2LOvXr9dJ9cz58+e5du2adp2Zmcnhw4e5cuUKbdu2ZcGCBcyZMweTyURoaCifffYZU6dOxc/PT4tjMplISkpi48aNdOvWjVGjRrF9+3YGDRqkhZFIJP8Ydrudo0eP0r59e2bPns3Zs2dp3749586d82jAGt2MxqYe/bX++CFjOH0brfo5nU4OHz5Mu3btWLx4MQsXLqRnz56PhFNn/Ojd1Tx5Sk/11//pw6jxjHnUh5VIJJJnBWnoSp5bzGaz27RTdVrYwoULNUNRP4VNURTy5MlDZGQkY8aMoU2bNuzdu1cL++DBA7799ls+/fRTdu/ezYULF7S4Qghy585NVFQU9erVIyoqiiJFijyi4FgsFsaMGUO7du00N4DffvuN9PR0vvzyS+rWrUvbtm157bXXAPj8888pXrw4n332GbVr16Z58+a0bdv2EdkSd9QyefHFF6lfvz61atUC4JVXXiEyMpLKlSsbYkDXrl3ZtGkTnTp14tNPP6Vs2bLcuXMHnlDGJpMJLy8v7dpsNmvTziMiImjQoAENGjQgf/78FCpUiHr16lGrVi28vb3BpfQChISEsH79ekaMGMFbb73FG2+8waVLlzS5EonkH0Mdpa1YsSJNmjRhxYoVJCUlkZSUBMDOnTsZO3YsvXv3ZvLkyaSnp3Pt2jXGjBnDmTNnwFX3V65cyY8//oiiKFy7do3333+f3r1789FHH/Hw4UNMJhPbtm1j9erVLF++nHfeeYcHDx6geBgxVWUCVK5cmRo1atCwYUPKly9Pamoq48aN48CBA4wYMYIFCxaQmJjI3Llz6du3LwMHDmTz5s0oioLdbueTTz5h9+7dzJgxg7fffptff/1Vu/eUlBTmzZtH7969+fDDD7l//z6KovDgwQNGjx5N7969mTRpklYWar4e19ZJJBLJ3wlp6EqeSxTXtC79B9vhcPDxxx9z6NAhNm3apLmrxq7JZCI9PZ179+5x6tQpTp8+TdWqVQkKCgJg+/btFC1alHbt2lGxYkW2bt2qyTCZTKSlpXHgwAH27dvH2bNncTgcmr+aj3nz5iGEYNiwYaBTenbt2kXVqlU5duwYPXv2ZOPGjaSmpuJwOEhOTqZ8+fJ8/vnnDBw4kJ9//lkzjFS5eqNX8r/oFUwj+jJUleHAwEDNYE1MTOTBgwcEBga6hfeE2WwmNjaW6OhooqOjOXDgAPHx8dqIC668OBwOj3LU9IUQhIaGgmuN740bN9xkSCSSfwzhGsGMj48nNjaWb775hipVqlCuXDnNgExMTKRkyZLMmzeP8ePHExgYyOLFi9m1axe4ZmiMGzeOmJgYYmNj6dmzJ+fOneOFF15g48aNfPzxx+D6RvTt25dZs2Zx5swZsrKywFW/1TquR1EUEhISePDgAbdu3cJisZCUlMS0adPo0aMHe/bs4cKFC/z4449s2LCB8uXLk56eTq9evbh06RJ2u505c+bQpUsXzp8/j8PhoFOnTkRHRwMwZMgQpk+fTokSJbhw4QJz5swhIyODjh07cu7cOV566SV+/PFHhg8fDk9oLyUSieRviZBInlO6d+8uWrZsKYQQ4ubNmwIQR44cEf379xcVKlQQNptNlCtXTsyaNUsIIcSYMWMEIEJCQoTZbBatWrUS8fHxmrz69euLgQMHCiGEmDBhgihatKjIyMgQQggxf/58AWh/tWvXFmlpaVpcIYS4deuWqFKlivjpp59EYmKiAMSWLVuEEEI0aNBAAKJ169ZiwIABIigoSHTp0kWcPXtWFCxYUISFhYkuXbqIzp07C39/f7FgwQIhhBBOp9PtvyRnYmJiBCCio6OF8FBmxusePXqIsmXLinv37rm5q+jDN23a1O35q3/vv/++W/h27dqJt956y81Nj/563bp1AhALFy50CyORSJ6e5ORkERQUJPz8/ISfn58AxCuvvCJiY2OFEEKkp6drYUePHi1KliwphOv70aBBA+FwOMSmTZtExYoVRUxMjPjqq69EgQIFtLZ/8eLFIjg4WGRkZIj33ntPBAYGitOnTwun0ykcDodwOp1u7bT6OzU1VRQoUED4+fmJ4OBg4efnJ+bPny9iY2MFIHr27KmFz8rKEna7XQghxN27d0X58uXF9OnThdVqFf7+/qJbt27C6XSKhw8fioCAAPHZZ5+Js2fPioiICLFs2TIhhBAWi0U8ePBAzJkzR1SoUEEkJycLIYRYv369KFSokDhx4sQjeZRIJJK/O3IoQPLcoh/NVUfFvL296du3L7GxsSxZsgRfX1+tB9tqtVKhQgWOHj3KkCFDOH36NHa7HYCrV69y69YtUlNTOXToENnZ2SQkJHDw4EFw7aJcqlQpzp07x/nz51mzZo22M7LKsmXLSE5OplChQpw8eRJcG1Clp6eTnZ1Nr1692LRpE4sXL2b27NmsW7eOxMREfH19effdd1mzZg1r166lWbNmfPnll8TFxWnT4uRUM8/oRyiMZfTgwQOaNWtGtWrVePXVV9mwYYPmt3TpUrZs2cKsWbMoUKAAuGSp//W/cY34tGnThosXL3L58mV+//13atSogdVq1WSq6POxePFiXnzxRV599VV69Oih+d29e5cPPviAN998k379+o3SNOkAAEe+SURBVIEuLYlE8vQoioLVamXatGlcvHiR6Ohobty4oe2/cODAAV599VVq167NypUrtV2P+/Tpw759+7h79y5btmwhb968FCxYkMTEROLi4mjYsCGRkZHMnTuX0NBQMjMzsVqt1K5dm3LlymkzRdQ8qP/V3yaTiaysLCZNmsSuXbvYsWMHnTp1Ijs7G4COHTtq4VNSUhgyZAivvPIKrVu35ubNm9jtdhTX9OWGDRtqcr28vPD29ubBgwf4+vpSu3ZtAHx8fMiXLx9JSUlcvXqVVq1aUaNGDSZPnozT6dTS1edXIpFI/u5IQ1fyXKEaA+rGIOoHW50uarVaqVq1KoMGDeLLL7/k9u3b2lRVp9NJUFAQ5cqVY+jQoXh5eTFv3jxwTS2+ffs2APPnzyc2NhZFUfjll19cKYO/vz+VK1emUqVKFClSBHT5sdls/PHHH6SlpfHaa6/RqVMnACZMmMDKlSupUqUKMTExWCwWFEXRFKVChQpRoUIFYmJiNKUnX758BAQEuB1lI42gRzF2ABjLKDw8nE8++YSPP/6YyZMn06JFCwBWrlzJuHHjWLZsGW3atHkkrl5p1RMWFkaFChUoW7YsFStWJDg42G36OgYjGaBly5ZMnjyZjz/+mPfffx9cRm7z5s2pW7cuS5Yswdvb+5F7kUgkT4+iKJQoUYISJUoQGRlJq1atuHPnDgcOHKB///689dZbzJ49m6ioKCwWC06nk1q1atG4cWOGDx/O2bNnef3118FVh/PmzcvkyZOZPHkyS5Ys4fvvvyc8PByHw+H23VHTxsPSB+E6Tq58+fJUq1aNunXrUrBgQS2cfs3/1KlT+eGHH/jkk0/48MMPiYiIwOFwaG2J2iGrylWX7dhsNred3dWwBQoUYPLkyUydOpW5c+eyfft26tSp4yZDIpFIngWkoSt5LlFca3SNH2xViejXrx+pqakkJye7+akKQ6lSpYiKimL79u3cvn2bzz//nLfffptvv/2WNWvW8M0339CrVy/Wrl1LXFwcXl5epKamsmfPHvbt28fOnTu5ffs2imvE1cvLi2XLlnHu3DkuXbqkHW+xaNEihg4dSlRUFLt372b9+vXcuXOHCRMmUKdOHUqVKkXZsmXZvHkzx44d4+TJk+zevZt69eqRO3duaQA9BrXsjahuXl5eVK9enRYtWtCiRQsCAwNZv349b7/9Nu3ataN48eLs2rWLU6dOoSgKu3btolmzZtp5yfqydzqdbkatw+FwU0TVdI3vZLFixWjTpg2tWrWiSpUqxMXF0bp1a+x2O+3bt+fYsWPs27eP+Ph4LY5EInl61G/B2bNnOXbsmLbetW7duqSmpuJ0OqlevToRERHcuHEDs9mM0+kkICCAatWqsWnTJuLj4+nSpQsAFStWJDU1lYyMDF588UWKFSvGzZs3wVXvjQbtjBkzGDx4MCaT6ZH6L3QdX2o8tU3RG6/Z2dnkz5+fRo0akZqayq1btzyu3VeNZ7vdTs2aNQkICGDOnDncvXuXtWvXMmnSJOrXr09WVhaXL1+matWqREREcO/ePbf05DdFIpE8KzzaEkokzwGKohAaGkpERAS4lIjw8HBy584NQNGiRfnggw8oU6YM+fPnB6BgwYIUL15ck/H222+TkpLC0aNHSUlJoWvXriiKgpeXF4qiMHz4cOx2OwkJCRQtWpSgoCCGDRvG4MGDGTZsGHv27NFkAeTLl4/ChQsTERFB0aJFKV26NMWKFQOgQ4cODBo0iPfee4+aNWvi7+/PokWLMJvNjBgxghdffJHOnTvTsWNH6tatywcffAAeRggl/4tqiKpKmxCCPHnyaJtLqWWnL78rV65Qrlw5Tp06RZ8+fRg4cCBz5sxBCEFcXBzHjh1zUwJV5bREiRKEh4dr7l5eXuTNm5c8efKAKy2TyeTmhs4YV/Nw48YN/Pz88PPzY+LEiQwYMIBBgwZpU90lEsk/TtWqVVm/fj29e/dmwoQJvPnmmwwbNoyoqCiaNGlC69at6d+/P06nk9KlS2t1vF+/fvj7+9OyZUvy5csHQKtWrZgyZQojRoygZs2aNGnSRKufBQsWJG/evG67+Z88eVI75k5vnJrNZipWrKgtcVHT9PPzo3jx4toUaoDevXsTEBDACy+8wHfffUfZsmXJmzcvJpOJcuXKERwcDK6lOWXKlMHf35/AwECmTZvG8ePHqV69OqNHj6ZYsWI0a9aMSZMmMW7cOKpXr07Hjh05cOCANoKcUwehRCKR/B1RhGyxJM8ZqoGjHpkQGhqKzWYjNjaWQoUKufWYZ2RkEBAQgI+PD5mZmVgsFkJCQlAUBYfDwf379wkJCSE1NZX8+fNjNps1+UII7t+/T1hYmLbeCt0Igr+/vza9WK2GeqMrMTGRwMBA7SxVi8XC/fv3ycjIoHjx4m5rfDMzM7l79y64jCr1WBrJ41GfFa7p43FxcURERDwyvVANl52djcVicXteXl5eeHl50aRJE5o1a8bYsWPdFEHFtYYO0DpSAOLj4/H19dWUUFw7OZvNZkJCQsAwRVB9bzIyMtxGhdTRJf1UdYlE8nQIIUhNTdWuFUXBz89PO/4rOzubGzduEBwcTFBQEDabjbCwMBRF4cKFC0RGRvLll1/SrVs3nVS4d+8eCQkJBAUFUbRoUcxms/YNUXdOv3LlCm3atGHevHk0a9bske9AUlLSI3VbCEF8fDzBwcFu52wnJCQQGxtLkSJFsNls5MqVCz8/Px4+fEhAQIBmGMfHxxMQEKB9P9TdpvPkyUOBAgW0diY2NpaEhARCQkIoWLAgXl5ebu2lRCKRPAtIQ1cikUj+P7l27RrTp0/n008/JW/evEZviUTyX8jgwYP55ZdfOHToEAULFjR6P5EtW7YQHR3NtGnT3EZ5JRKJRPKvQRq6EolE8k+gH32x2Ww4nU45qiqRPEecPXuW7OxsatSo8U+NdlosFkwmk7ahHHL9q0QikfxLkYauRCKR/JMYpxZLJJLnk3/G0NW3H07DSQASiUQi+f9HbkYlkUgk/wRGxVb2GUokzzfGHZX/EUwmk2xDJBKJ5F+MNHQlkv8SpJL0f48c0ZVInm+Eblf0f6QN8BTH05FAEolEIvnnka2q5LlEr5yov/W98Xp/9Tond+O1HtXfU3y9X04yjL+N8Y1hPF1Lnh7js9G75+Sn8rSjOcbnqLoZwxj/G930YY3nb0okkqcjpzqm1mdjvTLWX9VQVQxHlenjGeUJ3WwQ9bderj4fxv+e/h7n50mGvr3QhzHKMV4bw0okEsnfHblGV/JcIXRKhVHR0IdBp8AYr43oZWIIp69enuLr/fXxjWmr7kY8pSn516Gum3tcOavPXw37JB4ny4jT6XwknPGaf1CmRCJ5MsJl1Kl1Wv+d0Nc3fb3Xt9cqqgy9PH189bcxLdXfiKc0VPTyPP02pmeUr7oZ46p+KsZ4EolE8ndFGrqS5w71ld+yZQtZWVl07dqV1NRUFi5cSKVKlWjbtq32wV+8eDFVq1alevXq7Nu3j3379uFwOAgICKBq1ao0atTIzbi5evUqa9asoXHjxtSqVUtTgk6cOMGvv/6K3W4HlwHTrFkz6tSp80i+FEVh7dq1XL58mV69elGiRAmEEERHR7N3714sFgu1a9emRYsWAMTFxbFhwwbu37+Pv78/DRs2pFatWm5ypWLiGafTyTfffMO1a9fw8vLC19cXq9WK1WqlcuXKdOvWzU1BdDgc/Pjjj5w7dw5FUWjUqBH169d/Yhl/++23hISE0Lp1a3A9k40bNxIWFobZbGb37t0A+Pr6IoQgOzub4OBghg0bhp+fn5v848eP89tvv2G1WilYsCBvvfWWdkamRCL5x8jOzmbhwoVkZGRgt9spUaIE9evXp1SpUm7GHbo2+nHGak7tgOqudl7ldK3KsNlsLF68mIcPH4LrnO9XXnmFjh07uqUjXAa0KkOfZ09hhAeD2ohRnj491S2n+5RIJJK/E08efpBI/ovQf6DXrFnD119/DUBycjIffvgh/fv358KFC1qY6dOns2vXLgB+/PFHFixYQGpqKjt37qRDhw6sWLFCJx2++uorJk6cyNy5c7Hb7ZpCsWfPHubMmUNiYiIPHjwgPj6e7OxscOVJnUqmKAqXLl3igw8+YNKkSZw5cwaAzZs30717d27fvs2ff/5Jly5d2LBhAwALFy7k66+/Ji0tjS+++ILu3buTmpqqy5XkcSQlJfHgwQNu377Nhx9+yMWLF3n48CEpKSlaGPXZfPfdd4wdO5aLFy+yevVqOnfuzOHDhx9RMI0sWrSI9evXa9eZmZl8+eWXbN26FYvFwr1794iLi2PJkiV88803JCQkEB8f/8h06NTUVEaOHMmuXbs4d+4cgwYN4qOPPoLHKK0SiSRnrFYrH330EYcOHeLOnTtMnDiRN954g5iYGM3YU//0uyKr/9V6p/qrGOOqdVkvw1hn9dcWi4UJEyZw4sQJ7buRlpYGhhFVfRr6a6NsNV29ka4P70mm+lsfxyhXIpFI/tYIieQ5xOl0ih49eohWrVoJIYS4deuWMJvNAhC9e/cWDodDCCFE2bJlxaxZs4QQQgwbNkxUq1ZNOJ1O4XQ6RYcOHUT16tVFenq6EEKIpKQkUbJkSfHOO++IgIAAcfr0aS296dOniypVqmjXKqosp9MphBDCbreLjh07itdee00AYsOGDUIIIWrVqiUGDRqkhe3WrZto3ry5yM7OFvfv3xcWi0U4nU6xefNmYTabxf37993SkDyKvlycTqeIiYkRgIiOjs6xzM6fPy/u3bsnnE6nOHv2rMibN6+YN2+eEE8o53r16om33npLu87MzBSNGzcWw4cPF8IV1+FwiPbt24u3337b7Z3Qy83OzhZHjx7V/Lt06SJeeeWVR8JJJJKnIzU1Vfj6+oqffvpJOJ1OER0dLQCxb98+IYQQDx8+FBs3bhRz5swRO3bsEEIIcePGDfHtt9+Ke/fuaXKio6PFoUOHhHC14+vXrxezZ88WP//8s7DZbEIIIc6dOycOHTokTp48KRYsWCCSkpKEMHwH1G9Penq6CAoKEps2bXJrDywWi/jxxx/FzZs3xapVq8TOnTuFEEIcO3ZMLFiwQCxevFjcunVLCCGEw+EQW7duFbdu3RK7du0SCxYsEDdv3hR6Dhw4IGbPni02bdqk5dNqtYoff/xRzJo1S/z6669a2mreJBKJ5FlBjuhKnlv0PdPCNS117NixfP/999pUUj36Hm6r1UpCQgL58+cnV65cAFy7dg0hBD169MDPz4+YmBgtrtlsJisri+vXr3P9+nUSEhI0Wfre8++++46zZ88yYcIE0O3CmZ2dTUBAgBa2QYMGHDx4kKSkJCIiIvDx8cHhcPDXX38RHh5OYGAg6O5R9sI/Sk4jGOroracyq1SpEhERESiKQkhICGFhYW7+xndKxWQykZyczM2bN7l16xY3b94kMzPT7Z3CNY1Rvy7XmBdfX19q1Kih5TcsLEzz09+PRCJ5OoRu7ayiKKSmphIUFERISAjJycl0796dDz/8kLlz59K9e3fmz5+Pt7c3gwcP5ueffwZXvR0zZgy//PILDoeDPn36MGTIED777DP69u3L0qVLwbWEoXv37rzxxhtMmzaN+Ph4MIwO60eFVT99+xQbG0vXrl3p0qULY8aMYeXKlSxfvpwePXowb948PvnkExo1asSDBw+wWq307t2b5s2b8+677zJ9+nRee+01fv/9dwDGjx9Ply5dWLBgAe+++y6ffPIJQgiGDBlC//79WbhwIW+++SZTpkwB3ffIU9sokUgkf0ekoSt5LsnJKGjYsCF169Zl2rRp4AqnftS9vLy4du0aAwcOpEWLFiQmJmoKAMCcOXOoUqUK9erVo0ePHowfP17z8/b25urVq5QtW5ZSpUrRuXNnMjMzQac0ZGZmsmTJEt5++21eeOEF0CkW5cqVY+fOnezZs4eDBw+ybds2vL29MZlMJCYmMnjwYOrXr8/777/PxIkTCQwMfMQAksrJ05HTu4GhDNetW8dff/1F1apVwRBPDaf+9/HxYdOmTZQsWZISJUpQqVIlDh8+jI+PjxbHmK5eudU/Q1XmpUuXWLt2LTVr1nSLJ5FInh5FUfD29mbevHl06NCBVq1aUaNGDcqVK4eXlxfDhg3j4sWL3L17l06dOrFmzRoKFSpEvXr12LFjBwB//PEHV65coWXLlvz000/89NNPHDhwQFsO8eGHH5KVlYXD4eDWrVuMGTOGmJgYbR2w+qf/3ggh8PPzY/78+fTt25eePXuyefNmTCaTto/AyZMnWb16NeXLl+enn37i+vXrHDhwAIvFwt69e1EUhYyMDHLnzs3OnTs5d+4c165d4+jRo1y/fp3ly5fzzjvvcPPmTQ4ePEj9+vVZtWoVv/zyCzt37uTmzZtMmzaNb775hsuXLxtKTiKRSP7+SENXItEZEmFhYbz33nucP3+evXv34u3trfk5nU6CgoKoVasWCQkJhISEUL58eQDu3bvHqVOnKFSoELGxsURERHD16lUOHz4MgN1up0iRInz33XesXr2acePG4evr65b2kiVLuHfvHj169CAxMRGAjIwMcK0VDg0N5f3332fChAncvHnTLU916tRhwIABtGjRglmzZnH8+PFHDFyjISV5PPHx8XTr1o02bdrQsmVLfv75Z834PHv2LNOnT2fixInahmJqOes3l1Hd7HY79evXZ+3ataxbt46vv/6aihUrapuTqRif2TfffEPz5s1p2bIlgwYN0uRmZ2czevRowsLCGDdunFsciUTy9KizKF544QW6d+/Ou+++y8mTJ1m5ciWBgYFUrlyZcePG0aFDB3bs2EF6ejoAAwYMYOPGjdy/f58VK1ZQpkwZatWqxd27d7HZbIwfP55OnTqxbNkyzeC02WzUq1ePTp06aXUZw6itsR5nZGSQkpJCSkoKZrNZ6/wcPXo0hQoVQlEUqlevzv379xk4cCBDhgwhJSWFS5cuYTabsdls9OrVi3z58qEoCrly5cJkMmkb8LVu3RpFUShYsCCNGjXi+vXrpKSkMHPmTNq3b88333zD/fv3uX37Nsh2RiKRPGNIQ1ci0X28LRYLTZs2pXHjxkydOpWkpCRNsXA4HOTLl49evXqxfPlyzp8/z8qVK8G12dTly5fZsmULNWvWZPHixaSnp7NlyxYtbkhICF26dOGNN96gcePGmM1mrSffZrPx008/kZGRQbdu3ejWrRsAEydOZNWqVRQrVoydO3dy8OBB9u3bR9OmTXnppZfInTs3Pj4+dOvWjZ49ezJ37lyysrL47LPP3O5NVagkT0Z9F3LlykXdunWpXr06NWrUoGTJkuAavWnfvj19+vThww8/dIujV16Fbhqi3W6nZMmSdO7cmU6dOtG5c2cKFSqEw+Fwpfq/6J9XyZIltfQjIyPB9Y4OHjyYGzdusG3bNgoXLmyQIJFInhZFUXA4HERFRdGxY0dmzpxJ8+bN2bBhA5cvX6Z58+bExMRQp04drc4KIXj11VepUqUKU6dO5fTp0zRp0gRc9TMgIIBXXnmFl19+mR49ejBjxgzCw8NxOBzkypVLm8lhNG71bYbi6tAaO3Ys69evZ/PmzbRq1Qqr1QpAcHCwdg/z58+nc+fOhIWFUaNGDfz8/PDy8tL89ahpmUwmvLy8HtmxXc1/9erVqVatGs2aNWPBggW8+uqrWnz5PZFIJM8K0tCVSDwwatQooqOjiYmJwWw2g0vxUJWEatWqUaNGDb766isSExNZunQptWvX5siRI+zfv5/ff/+dhg0bsmvXLiwWC2azmezsbK5fv87Nmze5fv06SUlJmsJgMpn44osv2LBhA1OmTGHMmDEA9OzZk9dee03bBdjPz49du3bx9ddf06NHD3x9fYmOjubOnTvgOt7IYrFQrlw57V48jRJInkyuXLkYNGgQ48ePZ+LEiVSqVInLly/Ttm1bXnnlFQYOHEhMTAxxcXEoisLFixf57LPPHtkpGZdyqDdqjdeqm1GJrFu3Lh9//DETJ06kR48eAAwfPpzNmzfz6aefEhQUxO3bt7Hb7VL5lEj+CVTj8sGDBzx48IDz589z5swZihUrxtmzZ3n48CETJkzg3XffpWDBgjgcDpxOJxEREdSpU4dvvvmGe/fu0a5dOwDy58+PxWKhS5cujBs3jqFDh9K4cWO39PRtxI4dO1izZo1Wfz21H57qtr5Nv3z5MqVKlWLq1Km0adNGk2FsT1RsNhulS5fG4XCwcuVKhBBcvnyZ7du3U6pUKcxmM9WqVdPy36xZM20/APk9kUgkzxLS0JU8tzidzkeMDZWXXnqJPn36uLmpU9xUevToweXLlzl8+DDHjx/nrbfeokiRIhQrVox8+fIxbdo0fv/9d65fv46/vz9XrlwhKiqKevXqUbduXdatWwcuJcZsNlOpUiXq169PvXr1qF27NrjyUaBAARYsWEC7du3o3r07TZs2pV+/fvTp04f09HTGjh1L3bp16devH127dqVOnToMHjxYk63+SdwxKmvqtVpW6rVqgOIaObl58ybHjh2jYcOG1KhRQyvr06dPM378eG06sl4hdLqOj1JRZRqVWuM7ps8DwN69e1m9ejUOh4P33nuP6tWr06BBA/bs2aPFkUgkT4/iWqM7btw4atSoQb169QgICODTTz8lMjKS/PnzM2jQIHr37s3atWu1c60BmjdvTnp6OhUqVKBixYoAtGnThsaNG1O/fn2GDBlChw4dNCPYWL9xHUm3cOFC7Vq/4ZO+zVDbJU8GcePGjYmLi2Pw4MG8+eabJCQkoLiOBdK3Peo3z2azUaxYMfr27cu8efPo2LEjkZGR7N+/n3feeYd27drRvHlzBg8eTPPmzenXrx8Oh+ORtlEikUj+7ihCtliS5wi9MXPx4kUURaFChQokJSURHR1N8+bNtSlf6enpJCQkkCdPHoKCgoiNjSU1NZUyZcqgKAoWi4XDhw9Tvnx5Lly4QL169dw2F3I6nfz222+8+uqrBAYGEhcX56Ys5MmTh9y5c2vh9TidTs6cOUPRokUJDw8nKSmJXbt2cfnyZRo1akSNGjU0hSg5OZkTJ05w4MABXn75ZVq2bKmt/5U8HqEb8UhLS+PIkSNERUXh7e39SBin00l8fLy2qYxqyPr6+lKgQAH69etHfHw8W7Zswelapytco0W3bt3CarVSpkwZTe7x48cJCQmhbNmyWhonTpzA39+fypUra2mjU26TkpK0833VKZQAefPmzfFdkkgknlGNSXVdrVrPQ0NDyZMnDwB37txh3bp1vPDCC5QqVYqMjAyqVKmC4tqhuWjRonzyyScMGzZMq8dZWVlER0cTHR1NpUqViIqKIm/evMTExBAfH89LL70EQGJiIk2bNuX1119n7NixjxiQV69eJV++fOTOndutHTp16hTFixcnPDxcC/v777+zdetWunTpwsOHDylZsiQRERGcOXOGiIgIIiIitLj58uWjaNGiOJ1O9u3bR3R0NDVr1qRhw4Z4eXlht9vZu3cv0dHRVK5cmaioKMLDwx9pjyQSieTvjjR0Jc8lTqcTk8nkZujgoada9dOHy+ljr4+rhvcUX8/TuHsK4ykPajhP4SWe0T8zT+Xtyd8T586d46233uKHH36gRIkSWjzje6B301/j4VmqqM9Uf21EHd1ROz8kEsmTMdZFPZ7qpd5PURSmTZvGokWL2L17N+XKlfuH5a1evZpVq1axadMmAgICELqjjoyyjG2AGtbYvujRyzCmr3bGGeOq30ZPqPKMeZNIJJK/K9LQlTxX6JUDHmNEGMPlhFGJUNErBHqlwRiOHBQpPBjjxjzpFQ79f9VP8niMZae6PQ5jeFxxsrOzsVqtbiMvRrnqb72CqX9entLWy9EroMbnrQ8vkUieDmEwFo31CQ+GoT78ihUrSExMZPTo0W51Uh9Grbee6m9qaiomk0k7Dk5NS58PY76M1ypCZyCrv9U8q/HUcPp8qjwunPG+9OEkEonk74w0dCXPHfoPtqcPuaos4PqYG3u+jR98fRw1vBpXlateq7/1bjkpDEYlRX+tos+DJ3fJ49GXm/756PH0DPXPQ1/W+ndJDa/3U98V/bXxWend9LI8hVXDPG4URiKReEZfTz21r6qfsV3QtwMY5HgKa5StxjW6qeH116pbTh1keBid9ZQHT+7Cw/fO2M6o10IauhKJ5BlEGrqS5w7jK/+kj7s+nN7vceGMioMxvh5PCoPRyFXTMbrzmDzoMd6f5NHngIfnZSxTT+WoL3+jn4pRjt7N+BxVRA6GsJqW6pdTfIlE8mT0dVMYDD89ntoDPcZ2wPjfGFZNy+iOQbanvJBDu5FTWp7kecqbPs/6MOpvfRiJRCJ5FpCGruS5Qv+6Gz/iOfnp0SsHxh72nOKgUw4eFwaXfGPvv97PmF/9fwwGspGc3J9nPJWnOjrq6TkZnwE6pVV1y6mcPcnTo5enpmN8b4zXajz9OyCRSJ4OfZ3U1ynj9X+ibhnrt5H/RJ4kEonkWUPOdZM8tzxOeTAaDkbjwmiMkIORqV4be+71qLIV3bRn1V2PXr4+H/r/xnSMMiT/iydF0vjcjajPQH3uehnqnyf04VTU3/pnqobTh1HTU1zHheiv1XgSieQfR19vjXVfXx//r+uYPj19vh7XxkgkEonkUeSIruS5xKjU6FGNTf1aSnIwGlU5qlKkV0SMcjxhrH6PS8OIPq7R3yhXeJgmJ3k6Hvf80SnET1O+T5KVE0+K9yR/iUTyj6PWq6et3/8KnibNnL4JEolEInFHGrqS5wpVQXC6zg+0WCw0b96c9PR0Vq9eTcGCBWnTpo0W/vvvv6dSpUq8+OKLHD16lOPHj+NwOPD29qZUqVI0bdrUbSOqa9eusXXrVmrVqkX16tU19z/++IPo6GisVquWft26dalataqWVnp6Oj///DOxsbGYTCYcDgcvvvgijRo1AuDYsWMcOXIEp9NJ0aJF6dChg5b2+vXruXfvHkIIChUqRMeOHTGbzdo9I40gjzidTjZt2sSNGzcwm834+vpis9mw2+2UKlWKtm3bauHUDo0ffviBmJgYFEWhZs2a1KxZ84llvGnTJoKCgrRnabfb2b59O/ny5UMIwaFDhzCZTNo5zBaLhVy5cvHmm29qZyKr79Lvv/9OdHQ0QgiCgoLo2rUruXLlcktPIpE8HVarlW+//ZbMzEzsdjshISHUrVuX0qVLP7Fe/ztQ07Tb7Xz//fekpKTgdDpxOBxUqlSJZs2aGaNIJBKJJAfMkyZNmmR0lEj+m1GVlvHjx7Nv3z569OjB/fv3adKkCTt37qRt27aEh4cD0LJlS3Lnzk3dunWZOXMm8+fPp0CBAuzcuZP58+cTERHBq6++qsmcNWsW48ePJzk5mfbt22vG5tdff83EiRMJDw8nNjaWe/fuUbJkScqUKaMZMPfv32fQoEGkp6eTkpJCTEwMQUFBvPrqq/z1119ERUXx8OFDbDYbM2fOJHfu3FSrVo1p06YxceJE8uTJw9mzZ5k+fTqFCxfm1Vdf1d31/62y9izx008/cf78eWJiYpgxYwY+Pj4kJyfj7+9PzZo1tXCKovDNN98wcuRILBYLP/74I+vWrSMyMpIiRYo8dpSlT58+3L59mw4dOgCQlZXF8OHDSUhI0N6nuLg4vvnmG44dO4afnx8pKSk0bNhQM34V13EkXbt25ezZs9y/f5+5c+eSkpJCixYtDClKJJKnIT09ncaNG5ORkUFSUhJffPEF+/fvp0WLFgQHB+dYp/+dKIpCVlYWr732Gmlpadjtdm7evKm1+f8JHte+SSQSyd8WIZE8p7zxxhuiVatWQgghbt68KcxmswBE3759hdPpFEIIUaZMGTFr1iwhhBDDhg0T1apVE06nUzidTtGpUydRo0YNkZmZKYQQIiUlRZQpU0b06dNHBAcHiz/++ENLa8aMGaJy5cratSpflSWEELdu3RI1atQQV69edQsjhBCdO3cWDRo0EGlpacLpdIqBAweKggULiqSkJNG1a1fRoUMHIYQQmZmZokaNGuLNN9/U4urlSDzjdDpFTEyMAER0dPQjz8fhcAghhDh16pS4f/++cDqd4vfffxdhYWFi/vz5BmmPUq9ePfHWW29p15mZmaJx48Zi2LBhQrjScTgcol27dqJPnz5u74XD4RAOh0M4nU5hs9nEvn37tPCvv/66eOWVVzQZEonkHyMlJUX4+vqKn376STidTnHw4EEBiP379wshhEhOThabN28Ws2fPFrt37xZCCHHv3j2xZs0aERcXp8k5cuSIiI6OFkIIYbfbxaZNm8ScOXPE9u3btfbj/Pnz4uDBg+LMmTNi0aJF4uHDh0Lk8D1IS0sTgYGBYtOmTW7uVqtVbN68Wdy8eVN89913YteuXUIIIc6dOycWLFggli5dKm7fvq3J++WXX8StW7fE/v37xeeffy7u3bvnluahQ4fE3LlzxdatW7V8Op1OsWXLFjFz5kyxc+fOR/Im2xqJRPKs4HkBiETyHOJwOHjnnXdYu3Ythw4dAlfPujqVDN0U1oyMDB48eEBoaCj+/v4AnDt3DpvNRo8ePfD19eXPP//U4imKgtVq5d69e8TGxpKSkvJID7kQArvdzqFDhzh69ChJSUla2pcuXaJq1aoEBgaiKApvvPEG9+/fx2KxkC9fPo4cOcLvv//OiRMnSEhIoFOnTppM4z1IHkUxbPKiGHa/NplMOJ1OXn75ZSIiIlAUhZCQEEJDQ93WcudUzoqikJaWxoMHD4iPjyc2Npbs7Gwtrj599Znp01afodlspn79+iiujany5MnzH5leKZH8t6HW97i4OMLDwwkPDyc5OZmePXsyZcoUVq9eTZcuXVi2bBmKojBw4EA2b96sxR0xYgS7d+/G4XAwcOBARo0axYYNG3j77bdZvXo1AKtXr6Zv37707NmTsWPHEh8fr6Xvqa3Wt0MOhwOA2NhYunTpwltvvcXQoUNZtGgRq1at4o033uD7779n9uzZNGvWjLi4OCwWC2+++Sbt27dn7NixzJ8/n+bNm3PhwgUURWHmzJm8/vrrrFq1ivfff58ZM2YAMHr0aEaMGMHGjRt55513mDlzpta+6NtFiUQi+bsjDV2JRLcuqmvXrtSpU4dp06aBwQDx9fXl0qVLdOrUicaNG5OWloZ+5v/cuXOpUqUKUVFRdO7cWVMaALy9vfnrr7948cUXKVeuHO3btycjI0NLA5dBk52dzciRI2nYsCFVq1Zl9+7dmnEUGBioycuVKxeKomCxWJg8eTJly5YlMjKS1157jbZt29KyZcscjS7J4zEajvrn43Q6Nf8NGzZw69YtIiMjtbg5KYC+vr5s2rSJSpUqUaFCBapWrUp0dLS2/lbF+Mz0eVHXY6tu586dY/Xq1dSrV89jXIlE8nR4e3szY8YMmjZtSufOnalcuTLFihXD19eXESNGsH//fk6fPk379u354osviIiIoHr16uzbtw+AP//8k9u3b9OkSRNtScPWrVs5cuQI7777LqNHj8ZqtWKxWLh8+TJDhw7l+vXrlChRAgx1V9+G+Pn5MX36dDp16kSHDh1Yu3at9p1ISEjgyJEjLF++nCpVqvDdd99x5MgRtm3bRlpaGtu2bcNsNpOZmYnJZGLdunUcPHiQc+fOcfDgQe7cucPChQvp06cPp06dYtu2bVSrVo3vvvuODRs2sGnTJo4ePcqYMWNYsWIFN27ccGuHJBKJ5FlAGroSiU7RCAkJYeTIkZw6dYqDBw/i7e2t+dntdvLly0eXLl3IyMggMDCQl19+GVy97BcuXKBw4cLExcVRokQJrl+/zokTJ8A1WlykSBGWLl3K119/zccff6yNBKvy8+fPz8aNGzl+/DjHjx+nSpUqDB48mPj4eLy9vV05dUdVYGJjYxk1ahSvvfYav/32G8eOHdMUJqmU/GOo5fbgwQPatGlDvXr1qFu3Lj/88IM2unrlyhVmzpzJ+++/z6uvvvrEMrZardStW5cVK1awcuVKvvjiC6pUqYLdbtfCqDL0spYvX07t2rWpU6cOb731lpa+xWLR1nyPGTMGHmNkSySSx+N0OqlXrx4jRoxg5MiRnDx5km+//RZ/f38qVKjAjBkziIqK4pdffsFisQAwaNAgvvvuO2JjY1mxYgVFixalZs2a3L17l8zMTIYMGULTpk1ZtGgRdrud1NRUnE4nkZGRdOnShTx58uDl5YVw7a6s5DDzxm63Y7PZsNls+Pr6avV8zJgxlC1blrCwMCpWrEhCQgK9e/emV69ePHz4kJiYGHC1PX369KFw4cL4+fmRK1cuHA4Hly5dQghBhw4dUBSFYsWK0bhxYy5fvkxCQgLvv/8+DRs2ZOnSpdy+fZsrV66A7jQBiUQieRaQhq5EojsCyGKx0KRJE5o0acLUqVNJSUnR/BwOB3nz5qVjx44sXbqUU6dOsWrVKgB27drF5cuXWbJkCREREYwePZrk5GR++ukncCkruXPnpn379rRv35569ephNpu1ETohBD4+PpQrV45SpUpRuXJl2rRpw82bN7HZbBQoUID09HQtv3fv3sXX15c7d+7w2Wef0adPH6ZOncrPP/9M5cqVGT58OOnp6dL4+f8gMDCQ+vXrExkZSWRkJOXLlwfg+vXrtGzZkrfeeksb0RdP2KjF6XRSokQJ2rRpQ+vWrWnTpg0RERHYbDZjUDfKli1LrVq1tDzgUlz79+/PuXPn+PXXXylYsKBHBVkikTwdTqeTOnXq0Lx5c2bOnEn79u1Zv349f/75Jw0aNOD69es0bNiQwoULa4ZezZo1qVKlCuPGjePYsWPaDu0Wi4XAwEBq1qxJtWrV6NatG5988gnh4eHYbDZCQkLcNpjLqUNSURSys7OZOHEiP/30E7/88gvt27fHarUCkCdPHi3s3Llz6dKlCwUKFKBWrVoEBARoBrQqCw+zVUwm0yOzSmw2GwEBAdqO8i1atGD27NlUr15diyORSCTPCrLFkjyXqIaJcRRN/T9mzBgOHz7MnTt33EZT1XVSNWvWpG7duixfvpzExESWLFlCtWrVuHDhAhcvXuTq1as0bNiQAwcOYLfb8fLywmazERsby4MHD3jw4IFmiKq9+bdu3eKvv/7CYrGQlpbG0aNHiYiI4IUXXqBUqVJs3bqVW7duYbfb2bhxI9WrVycgIIC0tDQwKDN2u91ttFDiGbWTwRO5cuVi1KhRTJs2jenTp1O5cmWuXLlC06ZNefnll3nvvfdISkoiKSkJk8nE1atXWb16taYIG+Wq7w4uxdo4MuJpRKd+/frMmjWLGTNm0K9fP4QQjBgxgt9++42lS5dSuHBh4uPjn2gwSyQSz6h1LikpifT0dG7cuMHFixcpVaoU58+fJz09nY8//pgJEyZQokQJHA4HDoeD/PnzU6dOHTZu3Mi9e/e0nc/z5MmD1Wrl7bffZsqUKXz88cfakUCKa82tnoMHD7Jt27ZHOsr03yS9Qayil3Pt2jWKFi3Kp59+Su/evfHx8dHS0sdTfzscDooVK0ZmZibffPMNAFeuXOHgwYMULlwYk8lEs2bN+PTTT5k4cSLt2rUjJCQEnqJTTyKRSP5OSENX8txit9s1ZcHY812pUiXeeOMN0CkcDodDC68oCr169eLKlSscOXKEEydOMHDgQMqXL0/58uUpWbIkn376KYcOHeLq1av4+flx9epVmjRpQqNGjYiKiuKHH35w5eR/2Lx5M1FRUbRv356GDRuyceNGZs+ejdlsZty4cSQmJtKhQwcaNWrE3r17mTt3Li+++CKvv/46U6ZMoXPnzjRu3Jh9+/YxZswYQkJCHlGqJP+LsXPD+F//W30v5s6dy9WrVzl16hTNmjWjdu3aDB06FFznHA8cONDjdGT9u6Pi1K33xRXWaAAb09+3bx+rVq1CCMGYMWOoVasWDRs2ZM+ePVociUTy9CiKgtlsZuLEidSpU4eoqCjsdjsTJ06kVq1aFChQgD59+mhrZH18fLQ62qFDB9LT0ylfvjwVK1bU3F577TUaNGhAr169aNmyJYMHD4YcOrg+//xzPv30Uzc3FX3nmIq+zVCpX78+MTExvPnmm3Tv3l075xtDOyOEwGazYbVaKVu2LO+88w7Lli2jffv21K1bly1btjBgwACaNm1K27ZtefPNN3nttdd47733ZMepRCJ5JlGEp1ZTIvkvRd8bff78eQAqV65McnIyBw8epEmTJtpUroSEBO7du0ehQoXIkycPd+7cITU1lUqVKoHrLNQDBw5QqVIlzp07R/369bUpY4prl8xdu3ZRtWpVTCYTd+7c0ZQFIQSFCxcmf/78WviMjAwuXrxIdHQ0uXLl4rXXXqNYsWIorpG+2NhYtm7dSlZWFi1btqR06dJaPs6ePcuhQ4cIDw/Xptip8dT/yHWcj6B/H9LT0zl48CANGjTA39//EYVSURTu3r1LQkKCFs9utxMYGEjp0qXp27cv6enpWgeGXvalS5cAtOnPQghOnDhBcHAw5cuX18KePHkSf39/KlWq5BZf/Z2SksLdu3e1EVxViS1WrJh29rNEInl6nE4nf/75JzabDeHqbCpatCh58+YF4ObNm2zdupWSJUtStGhR7HY7L7zwAiaTifT0dIoUKcLHH3/MsGHDNJlpaWkcPHiQ8+fPU6xYMRo1akR4eDi3bt0iMTGRV155BYD4+Hhee+01unfvzpgxY9zqvNPp5Pz589r3R9/mnDhxgtKlS5M3b16cTicmk4kTJ06wb98+mjRpQkZGBsWKFaNQoUKcOHGCwoULU6BAAYQQHDt2jIiICIoXL47VauXAgQOcOXOGypUr06BBA/z8/MjOzmb37t1cvHiRkiVLUrt2bSIiIuR3RCKRPHNIQ1fy3OF0TefSGxEYpo7qP+R65QPD8QpqHPW/Gt+4jskoQ++u8jh/T36qgpMTxnw9LuzzSE7PXf8c9e+I/p0xcv78ed544w02btxI6dKlc3yu6miOXpYxLaNbTrL0eJIhkUgez+PqjVrnPaH6TZ8+nYULF7Jz504qVKigtR2e2gpPaX377besWLGCbdu2ERAQADl8n3JqK1S/x+VVJae4jwujx1PbJZFIJH93pKErea4wvu5GBcKI6m7SHamgKhZGBUT9rfrrZajKQU6KiTF9oTNMjYqPMRyGNPV5MqbjScbzilpeahk5nU5tgzC9OzmUm768MzIy/l979x6d05U3cPz7XPIkQkQuWIjciDStIXGNyzKMugVdaUsHq5Sh4lK10om6tAY1awyiDKNhTIWZrlLRdCJKqWuoSzCpkkkisyplmgRBIpN7nuz3n5wzJ4/Hpd5519vG77OWJc85++xznnPO3mf/9tnnPJSXl+t3gbT5jueCcbrjPO2YG6dpaYzztPna+WGcL4R4fMYy6lhvGsuXsfxr5c9UH+gWFRURHx/foAPUcRlH2jzt99SNz78a8zemN26rNs2x01XLwzGd9rfGcducrdO4jDFvx3RCCPFjJoGuEI/pYY0XY+PCsbHg7LPjdG0eThoRztJqHBsjxrQPyk88nLP99qBj8KDp/1ecbZsQ4sk4q48fVaYd5z/q86OmP4hjesfPQgghHk0CXSGEEEIIIYQQjYqMdRNCCCGEEEII0ahIoCuEEEIIIYQQolGRQFcIIYQQQgghRKMiz+iKp9bFixepqamhR48eVFVVcfToUUJDQwkKCtLTHDlyhKCgIIKCgsjOziY3N5e6ujrc3d3p0aMHXl5eDfIsLi7m/PnzPPPMM/j5+ekvELl69ar+u73Uv0n52WefJSQkRJ9WWVlJeno6d+/exWw2Y7fb6datG/7+/gDcvXuXM2fOUFFRQVBQEBEREfqyubm5XLx4EQ8PD/r06UPz5s31efISkwdTSvHVV19RVFSExWLBarVSW1uL3W6nbdu29OrVq0Fak8lEXl4eGRkZmEwmevXqRdu2bRvk6cypU6dwd3cnPDxcn3bx4kVsNhsWi4V//OMfmM1mLBYLALW1tbi6ujJ48GBcXFwaHMOysjLS0tKorKwkICCA8PBweeOyEE+opqaGQ4cO6eX+ueeea1Ava5y9uOpxGZd53OVra2s5cuQIVVVVKKWw2+20b9+eHj166Gmc5eU4zfGzI8fvZWwSOi73qLyEEOJHRwnxFKqrq1MTJ05Uo0aNUkopdf36deXi4qIiIyPVvXv39HQhISFq9erVSiml3n77bWW1WlVYWJgKDg5WPXv2VOfOndPzU0qpTZs2KUDFxsbqeSil1Lp165TNZlNhYWEqLCxMhYSEqD//+c8Nlr1+/boKDw9XgYGBKiwsTHXo0EEtX75cKaVUfn6+6tWrlwoICFCdOnVSrVu3Vp999plSSql9+/apzp07q9DQUOXn56f69++viouL9by1/MX97Ha7Gj9+vAoODladOnVSLi4uqmPHjqpjx45q5syZSjnsw/3796vw8HAVEBCgmjVrpvr27asKCwv1dA8yYMAANWnSJP1zVVWVGjVqlFqwYIFKSEhQISEhKiwsTHl6eiovLy8VGhqq+vbtq0pKShrkU1VVpaKjo5W/v7/y9/dXvr6+ateuXUo9Yv1CCOdKSkqUp6enXrcGBQWpuLg4VVlZ6ZhU1dXVKbvdft80Y9lz/PygaUbO5v373/9WrVu3Vn5+fqpz584qMDBQxcXF6fMd12nkuD7H+RpjOu27OS5rTGf8J4QQPwVyG0A8VbTealP9bxDW1dVBfe95bW0tZ86cYePGjQ3Sa8tUVlbStWtXMjMz9Z72hQsX6r9lWFlZyaeffkp4eDj79+/n2rVrej6VlZV06NCBjIwMLl26RGZmJpMnT27Qe15bW4vNZmPfvn1kZmaSnZ3N/PnzAVizZg35+fkcOHCA7OxsevXqxbp167h+/TrvvfceP//5z8nKymLPnj1cvXqVzZs3g6FHXvueoiGTycT27dvJzc3lyy+/pKamhi1btnDlyhXWr1/f4HwBsNvtLFmyhOzsbLZv305GRgZJSUkN0jjjuP9ra2spLy+nvLycGTNmkJmZSUZGBgMGDGD06NFcvnyZY8eO0bx58wbnYHV1NQMGDODUqVP6yIFVq1Y1yFsI8fhMJhMVFRWsWbOG7Oxs5s6dS3x8POfOndPT3Lhxg3PnznHr1i3MZjPV1dVcu3ZNL9cmk4m7d+/y/fffY6r/jez8/HwuXLhAfn6+Pq20tJSCggKqqqq4fPky1dXVhi1pSClFWVkZ69at45tvviEnJ4cVK1YAUFhYSHl5OVevXuXWrVv69efixYtkZWVRU1Oj3529efMmlZWVFBcXc+nSJT1v7e7snTt3+Pvf/87Nmzcxm836tl67do309HQ9f2P99rC6Tgghfkwk0BVPFe0CrV3kjUM+lVL069ePhIQE8vLyAO4bEuri4oLJZCIgIAB/f39KS0upqqoCIC8vj/T0dBYsWEBhYSE5OTn6ctqwVFdXVywWCy4uLvowVY2xYVJUVITVasXFxQWAo0ePMmbMGEJDQzGZTLz55pucOnWKy5cvk5eXR58+fTCZTERERBAREaE30hwDNfEfWmPParViNpv1fa0dY6vV6rgII0eOJDo6Gjc3N3r06EFgYCCVlZXgJJg1Mg5Lpv54mM1m/fxycXHBZrNhMpn0IdTa9hg1bdqU2NhY2rVrR8uWLYmIiKC2ttYxmRDiMdXV1enl32QyERkZic1mw9XVlbKyMiZPnkx0dDTTp09nyJAhnD59moKCAoYNG0ZycrJeb8fExLB9+3YANm/ezPDhw5k5cybDhg3j/PnzAGzYsIG5c+cSHR3N888/r3eGankYacGl1WrFZDJhs9mwWq3k5+czcOBAvYNzzpw5JCcn84tf/IKYmBjGjh3Lq6++SmVlJVVVVYwaNYq4uDjGjh3L2LFjmTx5Mrdv38ZkMnHgwAFGjhzJ1KlTiYqKYvfu3QAkJycTFRXF7NmzGT58OF9++WWDbRNCiJ8KCXTFU0VrTBjvkhnNnz+fpk2bsmHDBn2aFiRarVby8vJ4//33iY2N5fz588yYMYMmTZoAsH79erp168bIkSOJiopiyZIleh5ms5l//etfvP7660yePJlly5ZRUVHRIAA1mUzcu3ePgQMHEhwczJw5cygoKKCyspKSkpIGz936+vpiMplo3rw5Pj4+emBbVlZGQUGBnq+z7yicc9xXWmeI8RhhCGjPnz9PVlYWzzzzDDjpFDGy2WycOHGC119/nalTpzJjxgwuXbp0XzBtbPBq56izbQAoKChg7969+Pj4gHRmCPFETPWdTklJScTHxzNu3DhGjBhBz549qa6uJiQkhA8++ICTJ0/i6+vL0qVLadu2LWazmZMnT0J9WTx8+DARERGcPHmShQsXsnTpUtLT0+nfvz+zZs0CoKioiKSkJNq0acN7772Ht7c3ONQ9Wv2ilMJms/Hpp5+ydu1aVq5cycWLF7Hb7eTk5PCXv/yFN998kwkTJmC1WpkwYQKnT59mw4YNHDx4kEOHDmE2m8nOzmbHjh3ExsayefNmtm/fztGjR6mqquLtt9/G3d2dw4cPs2jRIq5fv05GRgZvvfUWy5Yt49y5cwwaNIj58+dTXFwsdYwQ4ifnwS0zIRoxxwu29tnPz4+ZM2eybds2srOz9RcBAVgsFu7cucPOnTvZtGkTAwcO5LXXXoP6APPMmTP07NmTZs2a0a1bN7Kysrhy5QrUB0EVFRVkZ2eTnZ3NvXv37ruj27JlSzZu3Mj+/ftJTExk165dvPbaa3z33XdUVFTg6uqqp1VKUVtbS1BQEFOmTGHnzp3079+fqKgoMjMz9buBWvDl+H3Ff+6YPEh5eTlffPEF+/btY+/eveTm5kL9Pr1z5w7z589n/PjxjBgxwnHR+5jqhzZmZWWRm5tLbm4uZWVlDw2OTSYTWVlZpKam8vnnn3P48OEG83/3u99RWFjIypUrwUmgLoR4PGazmfT0dFJSUnB3d+fEiRMcOHAALy8vFi5ciN1uJz09HW9vb7799ltcXFyYMmUKn3zyCeXl5Xz44Yd07NiRoUOHcuHCBdzc3HB3dyctLQ2r1Up2djZFRUUopejatSurVq1i+vTpeHl56Z1ZGuPfLi4upKamsnbtWt5//33Onj2r1+2LFi0iLi6OF154gRdeeIFx48bx1VdfcePGDby9vUlPT8dkMlFdXc28efOIioqia9eueHh4UFhYyOnTp7l16xbvvPMO3t7evPzyy8TGxvK3v/0Ni8VCixYtOHz4MF5eXuTm5pKenq5vn9Q1Qoifige3soR4CmgXbK1xUVNTw7Rp0/D392fFihX6s04AVVVVdO3albNnz7Jjxw6Sk5M5duwYACdOnOCbb74hKSmJESNGkJiYSHFxMQcPHtTzDQkJIS0tjdOnTxMfH98giFZK0aRJEwYPHszw4cMZM2YMq1ev5vTp09y5cwdfX1+Ki4vrtxpKSkqoq6ujpqaGX//613zxxRfMnTuXDRs2MGTIED2dln9dXZ00TpwwBruOQW9FRQWffPIJCQkJbNq0iatXr0L9m7XHjx+Pp6cnK1eu1DssjMfSeFeG+nNn9OjRnDhxguPHj3Po0CEiIyP1Yc/GtMbtyMjIYOPGjSQkJPD555/r8z788EN27tzJRx99RPfu3fX0Qogfrrq6mt///vekpaVx4cIFOnfuzJo1aygpKWHixIlMmjSJhIQELly4gM1mA2DEiBFUVFTw2WefkZ6eTmhoKBaLhaqqKu7evcvmzZtZs2YNeXl5vPLKK3h4eFBbW4ufnx8eHh76uo3l3bGOLisrIzExke+++47CwkKmT5+u1xnGN0OnpqbSvXt3Fi5cyEcffcTNmzdxc3PDVP8uipYtW4LhbrHFYqG6uhqbzUabNm30fKh/f8CNGzfYsmUL69at48yZM7zyyit07NgRnGyjEEL8mEmgK4ShAWC322nSpAnLli0jOTmZK1eu6A0bLZ3JZGL48OF0796d9evXA5CSkoKfnx8JCQnMmjWLP/zhD3Tu3Jm0tDQwNGa0wMoxwDLVD1uuqKjQ15WXl4fNZqNDhw74+vrqLxkBOHbsGH5+fjRt2hSA8PBwxo4dS2lpKRcuXODll192ul7RkLMOAG0/+fj4sGXLFnbv3k1SUhJDhw6ltLSUyZMnU1paSmpqKu3bt9eXKy4uJicnRz9HjHdqlJNhyMb5GsfnfMeNG0dKSgq7d+8mPj4egG3btvHOO+/wpz/9iZdeegmk8SnEE9PKocViwWQy4eLigqenJy1atODIkSOkpaWRkpLCrl27GDRoEDU1NfrPEEVHR7N8+XJycnKYMGEC1D/i0qxZM7Zs2UJKSgqpqan89re/xdXVFVU/EsfYqfX999+Tl5fntI5+WP2tXQsA9uzZQ4sWLThx4gTr1q2jdevW2O12lFKYzWY9rVYvATRv3pzy8nK+/vprAEpLS7l9+zYuLi54eXmxevVqUlNT2bNnD2vXriU4OLhBPSaEED8FEuiKp5J2wbbb7Q2ma4HG0KFDGThwINQHv9r/WiPBzc2NcePG8fXXX3P27Fk+/vhj5s6dy7Bhwxg9ejSDBw/m3XffJSkpiX/+85+4urpy7do1Zs+ezcyZM5k+fToHDx5s0GBITEwkOjqaxYsXM3v2bJYsWcIbb7xBq1atmDt3Lnv37mX27NnMmzePTZs2sWbNGnx9fdm6dStxcXHExcXx0ksv8fzzz/Piiy/CA+4Siv8wDh02dnZorFYrrq6u+nPYS5YsISUlBW9vb1atWsW0adP0tx7v27eP3r1764Gukd1ub5Cvdu45Bram+jswWhrtBWZubm6YzWaOHz/OG2+8gZeXF8ePH2fWrFnExMRw/vz5+9YphHg0c/2bhjds2KA/83rs2DFiYmIIDg7GarXyxz/+kQULFvDXv/4Vm82m16tDhgwhJycHd3d3BgwYAEBUVBTNmjXjV7/6FStWrGDx4sXExMSAk44sgHnz5vHqq6+Ck84v7Td0H8XHx4eCggLi4+OJjY3l22+/xWq16vWMlqcWaFdUVBAZGUlERARLlixh+fLlvPjii8yZM4dp06bh4eHBpEmTWL16NW+99Rbvvvsu1dXVesD9ONskhBA/BpalS5cudZwoRGOm9XKXl5fTpUsXunTpQnl5OaWlpUyYMIEmTZpgtVr52c9+xrPPPsvgwYNp1aoVrq6udOrUiYiICAACAwMpKCggNDQUpRSzZ8/Gw8NDb6wEBgZSUlJCv379CAgIIDg4WH95lI+PD2FhYbRt27ZB+vLycnbs2MHt27fZuHEjU6dOxWKx0LFjRwYNGkRSUhKZmZnEx8czZswYAPLz89m6dSs5OTksXryY+fPnN2iMaSQQup+xI6CiooK7d+/yy1/+Ur9TrtH2nZubGz179iQoKIjmzZvj7e1Nu3bt6NKlC4cPH+b69evExMTojWct6G3SpAlhYWE899xzUP9yqtLSUrp166afP2azmXv37tGlSxc9nbFRaTKZcHV1JTQ0lPDwcDw8PPD29sbT05OwsDBat25t2GIhxONq164dAQEBeHp6EhAQwKJFi+jXrx9t2rQhLCyMxMRE/P39mTJlChEREfTu3RuTyUSnTp344IMPmDVrlt4x6uvry6hRo8jMzCQ5ORmAxYsX07ZtW9zc3GjVqpW+fHV1Ndu2baNdu3Z656RWb5jNZnx8fOjZs6c+9BjA1dUVm81G3759adWqFQCRkZFYLBY+/vhjJk6cSI8ePRg4cCCBgYG4u7vTp08f2rVrp7/tX6vDRowYQVFREbt376Z3794sXbqU9u3bM3z4cC5fvsyePXvw9fVl6tSp+Pv769uAXE+EED8RJuXYGhaiEdOCSmPPubMiYLyIGwMNx8+O+TnO0zyqUeBsexzzdZb/D11G/Idx/xj3JYZ95Xh39kH78MaNGwwaNIitW7cSGRnp9Hjg5FzSOK5fa+g+KB9HD8pXCPFwWllz9DjlVhtNk5ycrAe6Wlojx3pYy/vQoUPMmzePAwcO0KpVK6fr+SHl/mFpHWlpjdvruF7jdMf98bjrEUKI/08S6ArxIyYNih8v47G5desWmZmZDBgwwGmjWQjROBjL/W9+8xvy8vJITEzEYrH84Po6KyuL0tJSevXq5ThLCCHEf4EEukII8YSUk5dMCSGeDlVVVVA/nNjx7uoP9b9dXgghxP0k0BVCiCdgbJhKI1WIp4tj+Xcc3vs4nDW/fsjyQgghHk7G2AkhxBPS7ugKIZ4u2igOrfz/0CAXh0BX6hEhhPjvk0BXCCGegLPhytJYFeLpYSzvjnXB4zAuI8/2CyHEf58MXRZCCCGEeEJPcjdXCCHE/z3pQhRCCCGEeEIS5AohxI+TBLpCCCGEEEIIIRoVCXSFEEIIIYQQQjQqEugKIYQQQgghhGhUJNAVQgghhBBCCNGoSKArhBBCCCGEEKJRkUBXCCGEEEIIIUSjIoGuEEIIIYQQQohGRQJdIYQQQgghhBCNigS6QgghhBBCCCEaFQl0hRBCCCGEEEI0KhLoCiGEEEIIIYRoVP4HjHri3DMNCawAAAAASUVORK5CYII=\"\u003e\u003c/p\u003e\n\u003cp\u003eDON: deoxynivalenol, A-DON: acetyldeoxynivalenol, NIV: nivalenol, FX: fusarenone X, ZEA: zearalenone, ENNs: enniatins, BEA: beauvericin, T-2: toxin T-2, HT-2: toxin HT-2, DAS: diacetoxyscirpenol and MAS: monoacetoxyscirpenol.\u003c/p\u003e\n\u003cp\u003eSpore suspensions were prepared using a Carboxylmethyl Cellulose (CMC) medium following the procedure described by Savignac et \u003cem\u003eal.\u003c/em\u003e (2023). Spores were counted on a Malassez cell before immediate use.\u003c/p\u003e\n\u003ch3\u003e2.3. Liquid fungal cultures\u003c/h3\u003e\n\u003cp\u003eLiquid-cultures were performed in 24-well static plates. Each well containing 2 mL of a mycotoxin synthetic (MS) medium (20 g/L glucose, 0.5 g/L KH\u003csub\u003e2\u003c/sub\u003ePO\u003csub\u003e4\u003c/sub\u003e, 0.6 g/L K\u003csub\u003e2\u003c/sub\u003eHPO\u003csub\u003e4\u003c/sub\u003e, 17 mg/L MgSO\u003csub\u003e4\u003c/sub\u003e, 1 g/L (NH\u003csub\u003e4\u003c/sub\u003e)\u003csub\u003e2\u003c/sub\u003eSO\u003csub\u003e4\u003c/sub\u003e, 0.1 mL/L Vogel mineral salts solution) supplemented or not with TC3, was inoculated with 2.10\u003csup\u003e4\u003c/sup\u003e spores/mL. The 50 \u0026micro;M TC3 concentration used throughout the study was selected according to previous results (Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e, 2021). \u0026nbsp;For the experiments comparing the susceptibilities of strains, TC3 was supplied before strain inoculation. For kinetic experiments with TC3 added at different times pre- and post-inoculation, TC3 was added at 0, 1, 3 and 5-days post inoculation. Fungal liquid cultures were incubated at 25 \u0026deg;C in the dark for 10 days. Six biological replicates were processed for each condition. Controls using non-supplemented control media and non-inoculated control media were included. Following incubation, mycelia were recovered by centrifugation and fungal biomass was measured by weighing the mycelia after 48 h of freeze-drying (Flexi-Dry, Oerlikon Leybold, Germany). Culture supernatants were stored at -20 \u0026deg;C until mycotoxin analysis. Mycotoxins were extracted from supernatants of liquid cultures according to a protocol adapted from Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e (2021). Briefly, 1 mL sample of culture medium was extracted with 2 mL of ethyl acetate. A volume of 1.5 mL of the organic phase was evaporated to dryness at 45 \u0026deg;C under nitrogen flux. Dried samples were dissolved in 200 \u0026micro;L of methanol/water (1/1, v/v) and filtered through a 0.2 \u0026micro;m filter before analysis.\u003c/p\u003e\n\u003cp\u003eTCTB produced by \u003cem\u003eF. graminearum\u003c/em\u003e strains were analyzed by HPLC/DAD using the method described in Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e (2021). For all other toxigenic isolates (\u003cem\u003eF. culmorum\u003c/em\u003e, \u003cem\u003eF. avenaceum\u003c/em\u003e, \u003cem\u003eF. tricintum\u003c/em\u003e, \u003cem\u003eF. poae\u003c/em\u003e and \u003cem\u003eF. langsethiae\u003c/em\u003e), mycotoxins were analyzed using a multi-mycotoxin LC-HRMS method. Analyses were performed with a Q-Exactive Focus mass spectrometer (Thermo Fisher Scientific, Bremen, Germany) equipped with a heated electrospray ionization (HESI) source and a Vanquish UHPLC System (Thermo Fisher Scientific, Bremen, Germany). Separation was achieved on a Thermo Scientific\u0026trade; Accucore\u0026trade; aQ C18 Polar Endcapped column (2.1 \u0026times; 100 mm, 2.6 \u0026mu;m) (Thermo Fisher Scientific, USA) maintained at 40 \u0026deg;C. The mobile phase consisted of water/methanol (98/2, v/v) with 10 mM AcNH\u003csub\u003e4\u0026nbsp;\u003c/sub\u003eand 0.1% acetic acid (solvent A) and methanol/water (98/2, v/v) with 10 mM AcNH\u003csub\u003e4\u0026nbsp;\u003c/sub\u003eand 0.1% acetic acid (solvent B). Thirteen mycotoxins (Table 2) were separated using the following elution gradient: 0-2% B in 2 min, 2% B for 0.5 min, 2-98 % B in 4.5 min, 98 % B for 4.7 min, 98-2 % B in 0.1 min and 2% B for 2.8 min. The flow was kept at 0.4 mL min\u003csup\u003e\u0026minus;1\u003c/sup\u003e. The injection volume was set to 2 \u0026mu;L. TheTraceFinder software (version 5.0.889.0) was used to control the LC-MS system and to acquire and process data. The mass spectrometer was operated in the positive ESI mode with 70k resolving power full scan acquisition in the 150-1000 m/z range. Nitrogen was used as the sheath and auxiliary gas. The main MS parameters were optimized and finally set as follows: sheath gas flow rate, 50 a.u; auxiliary gas flow rate, 13 a.u.; sweep gas flow rate, 0 a.u.; spray voltage, 3.5 kV; capillary temperature, 320 \u0026deg;C; S‑lens RF level 50%; auxiliary gas heater temperature, 350\u0026deg;C. LC-HRMS parameters associated with the multi-mycotoxin method are gathered in Table 2. Quantification was performed by external calibration with standard solutions of ENNs (A, A1, B, B1), BEA, DON, ADON, NIV, FX, ZEA, T-2, HT-2, and DAS. (Romer Labs, Getzersdorf, Austria). Toxin yields were expressed in \u0026mu;g/g of fungal dry biomass.\u003c/p\u003e\n\u003cp\u003eTable 2. LC-HRMS parameters for the quantification of mycotoxins, including the retention time, analyte formula, and ion m/z (extracted with a 3 ppm tolerance) for quantification and confirmation.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"96%\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMycotoxin\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRetention time\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(min)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFormula\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIon for quantification\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003e(m/z)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIon for confirmation \u003cem\u003e(m/z)\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eAcetyl-deoxynivalenol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e3.85\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eC\u003csub\u003e17\u003c/sub\u003eH\u003csub\u003e22\u003c/sub\u003eO\u003csub\u003e7\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e361.1258\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e339.1438\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eBeauvericin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e6.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e45\u003c/sub\u003eH\u003csub\u003e57\u003c/sub\u003eN\u003csub\u003e3\u003c/sub\u003eO\u003csub\u003e9\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e801.4433\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e806.3987\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eDiacetoxyscirpenol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e4.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e19\u003c/sub\u003eH\u003csub\u003e26\u003c/sub\u003eO\u003csub\u003e7\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e389.1571\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e384.2017\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eDeoxynivalenol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e2.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e15\u003c/sub\u003eH\u003csub\u003e20\u003c/sub\u003eO\u003csub\u003e6\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e319.1152\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e297.1333\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eEnniatin A\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e6.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e36\u003c/sub\u003eH\u003csub\u003e63\u003c/sub\u003eN\u003csub\u003e3\u003c/sub\u003eO\u003csub\u003e9\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e699.4903\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e704.4456\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eEnniatin A1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e6.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e35\u003c/sub\u003eH\u003csub\u003e61\u003c/sub\u003eN\u003csub\u003e3\u003c/sub\u003eO\u003csub\u003e9\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e685.4746\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e690.4300\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eEnniatin B\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e6.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e34\u003c/sub\u003eH\u003csub\u003e59\u003c/sub\u003eN\u003csub\u003e3\u003c/sub\u003eO\u003csub\u003e9\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e657.4433\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e662.3987\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eEnniatin B1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e6.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e34\u003c/sub\u003eH\u003csub\u003e59\u003c/sub\u003eN\u003csub\u003e3\u003c/sub\u003eO\u003csub\u003e9\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e671.4590\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e676.4143\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eFusarenone X\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e3.90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e17\u003c/sub\u003eH\u003csub\u003e22\u003c/sub\u003eO\u003csub\u003e8\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e377.1207\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e355.1387\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eNivalenol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e2.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e15\u003c/sub\u003eH\u003csub\u003e20\u003c/sub\u003eO\u003csub\u003e7\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e335.1101\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e313.1282\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eToxin T-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e5.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e24\u003c/sub\u003eH\u003csub\u003e34\u003c/sub\u003eO\u003csub\u003e9\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e489.2095\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e484.2541\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eToxin HT-2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e4.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e22\u003c/sub\u003eH\u003csub\u003e32\u003c/sub\u003eO\u003csub\u003e8\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e447.1989\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e442.2435\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003eZearalenone\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 20px;\"\u003e\n \u003cp\u003e5.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 11px;\"\u003e\n \u003cp\u003eC\u003csub\u003e18\u003c/sub\u003eH\u003csub\u003e22\u003c/sub\u003eO\u003csub\u003e5\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 24px;\"\u003e\n \u003cp\u003e341.1359\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 23px;\"\u003e\n \u003cp\u003e319.1540\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\n\u003ch3\u003e2.4. TC3 efficiency in detached leaf assays\u0026nbsp;\u003c/h3\u003e\n\u003cp\u003e\u003cem\u003eExperimental design\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe \u003cem\u003eF. graminearum\u003c/em\u003e CBS 185.32 strain was used and conidia solutions were prepared as described in Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e (2021). Leaf segments of 6 cm were cut from the tip of the first leaves of 10-day-old seedlings. The leaves were wounded using a 10-\u0026micro;L sterile pipette tip in the center before placing them on water agar plates amended with 40 mg/L benzimidazole. To assess the effects of TC3 on the infection and mycotoxin production by \u003cem\u003eF. graminearum\u003c/em\u003e, 10 \u0026micro;L of TC3 125 \u0026micro;M were transferred to the center of detached leaves followed by 1 \u0026micro;L of spore suspension (10\u003csup\u003e6\u003c/sup\u003e spores/mL). Sterile water (10\u0026micro;L) was used as a control. Images were taken at 3, 4, and 5 days after infection (dai). The infection severity was assessed \u003cem\u003evia\u003c/em\u003e necrosis areas using FIJI software. At 5 dai, for each treatment, three leaves were pooled into one sample and dried overnight by lyophilization. Each sample was divided into two subsamples (5mg each); one was used for quantification of total fungal DNA and the other one for mycotoxin analysis. Three biological replicates were done per treatment.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eMycotoxin analysis\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe procedure was adapted from a previously published protocol (Nicaise et \u003cem\u003eal.\u003c/em\u003e, 2022). Briefly, 5 mg of ground wheat leaf was extracted with 1.5 mL of ethyl acetate supplemented with 1% formic acid and agitated for 1 hour. A volume of 1.3 mL of the organic phase was collected after 5 min of centrifugation at 4800 rpm and evaporated to dryness at 45 \u0026deg;C under nitrogen flux. Dried samples were dissolved in 125 \u0026micro;L of methanol/water (1/1, v/v) and filtered through a 0.2 \u0026micro;m filter before analysis. TCTB and zearalenone were quantified by HPLC\u0026ndash;DAD (same protocol as described previously in Leannec-Rialland et \u003cem\u003eal.\u003c/em\u003e, 2021). Toxin yields were expressed in \u0026mu;g/g of dried leaf.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eFungal DNA quantification\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe protocol was adapted from Nicaise et \u003cem\u003eal.\u003c/em\u003e (2022). DNA extraction was processed from 5mg of freeze-dried wheat leaf ground with a TissueLyser II (Qiagen, Venlo, The Netherlands), using the NucleoMag Plant kit (Macherey-Nagel, Hoerdt, France) according to the manufacturer\u0026rsquo;s instructions. The quality and quantity of the prepared DNA were assessed by spectrometry (DeNovix, DeNovix Inc, Wilmington DE, USA) and the concentration was adjusted to 20 ng/\u0026mu;L with nuclease-free water. \u003cem\u003eFusarium\u003c/em\u003e and wheat DNA contents in each sample were measured by quantitative polymerase chain reaction (qPCR) with SYBR green detection using a QuantStudio5\u0026trade; (ThermoFisher Scientific, Vantaa, Finland). \u003cem\u003eFusarium\u003c/em\u003e DNA abundance was assessed by the quantification of the beta-tubulin gene and wheat DNA abundance using the Rubisco gene (primers reported in Table 3). Each qPCR consisted of 5 mM MgCl2, 0.5 \u0026mu;M primers, 20 ng of purified DNA and 2 \u0026mu;L of 1X QuantiFast SYBR Green PCR Master Mix (Qiagen) in a final volume of 10 \u0026mu;L. The amplification conditions consisted of a first denaturation step for 5 min at 95\u0026deg;C, followed by 40 cycles of 15 s at 95 \u0026deg;C and 40 s at 60\u0026deg;C. The melting curve was generated using the following profile: 0 s at 95 \u0026deg;C, 15 s at 60 \u0026deg;C, 0 s at 95 \u0026deg;C (linear temperature transition from 65\u0026deg;C to 95\u0026deg;C at 0.1\u0026deg;C. s\u003csup\u003e\u0026minus;1\u003c/sup\u003e), and 30 s at 4 \u0026deg;C. All the reactions were performed in triplicate. Quantification was performed using external calibration curves with standard solutions of \u003cem\u003eF. graminearum\u003c/em\u003e DNA extracted from pure cultures and wheat DNA extracted from an uncontaminated wheat sample. Relative quantification of the presence of fungal DNA in the tested sample was calculated as the quantity of fungal DNA/quantity of wheat DNA.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTable 3. Primers used for DNA quantification in detached leaf assays\u003c/em\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eGene\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 266px;\"\u003e\n \u003cp\u003eForward primer sequence\u003c/p\u003e\n \u003cp\u003e(5\u0026apos; to 3\u0026apos;)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 236px;\"\u003e\n \u003cp\u003eReverse primer sequence\u0026nbsp;\u003c/p\u003e\n \u003cp\u003e(5\u0026apos; to 3\u0026apos;)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eBeta-tubulin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 266px;\"\u003e\n \u003cp\u003eGGTAACCAAATCGGTGCTGCTTTC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 236px;\"\u003e\n \u003cp\u003eGATTGACCGAAAACGAAGTTG\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 102px;\"\u003e\n \u003cp\u003eRubisco\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 266px;\"\u003e\n \u003cp\u003eCCCAAAGATTTCGGTCAGAG\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 236px;\"\u003e\n \u003cp\u003eAAGATCGTGCTCCCGGTAT\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ch3\u003e2.5. Sporulation and germination assays\u003c/h3\u003e\n\u003cp\u003eThe \u003cem\u003eF. graminearum\u003c/em\u003e strain CBS 185.32 and the \u003cem\u003eF. avenaceum\u003c/em\u003e strain INRAE 498 were used for these assays. For conidiation assays, one mycelial plug (5 mm in diameter) of each strain, taken from the periphery of a 7-day old colony grown on PDA plates was inserted in a 50 mL-filter screw cap conical tube containing 10 mL of CMC medium supplemented or not with TC3 at 25 and 50 \u0026micro;M, and incubated for up to three days at 25\u0026deg;C and 180 rpm in the dark in an Infors Multitron (INFORS-HT). After three days, the spore solutions were filtered through a sterile cell strainer 40\u0026micro;m (FisherBrand\u003csup\u003eTM\u003c/sup\u003e), then spores were counted in a Malassez cell counting chamber under a microscope (three independent counts per sample). Three biological replicates for each condition were done. Three counts for each biological replicate were processed and the value for one biological replicate is represented as the mean of the three counts.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFor germination assays, conidia of \u003cem\u003eFusarium\u0026nbsp;\u003c/em\u003espp. were prepared by transferring 4 fungal agar plugs (5 mm in diameter) into 20 mL CMC medium and incubation at 200 rpm and 25 \u0026deg;C for three days. The conidia were harvested by filtration through a sterile cell strainer 40\u0026micro;m (FisherBrand\u003csup\u003eTM\u003c/sup\u003e) followed by centrifugation at 4000 rpm for 20 min. The conidial pellet was resuspended with sterile water and diluted to reach 10\u003csup\u003e6\u003c/sup\u003e spores/mL. To assess the effect of TC3 on germination, 20 \u0026micro;L of spore suspension was added to 0.5 mL tubes containing 200 \u0026micro;L of MS medium supplemented with TC3 at 25 and 50 \u0026micro;M or with water as a control. The tubes were incubated at 25 \u0026deg;C in the dark. The effect of TC3 on conidial germination was assessed at 0, 4, and 8 hours after inoculation (HAI). Then spores were counted in a Malassez cell counting chamber under a microscope (two independent counts per biological repetition) and the number of germinated spores was determined by observation. The density of spores was determined for each sample to confirm the comparability of the results. Three biological repetitions were done for each condition.\u003c/p\u003e\n\u003ch3\u003e2.6. Fluorescence microscopy assays\u003c/h3\u003e\n\u003cp\u003eThe \u003cem\u003eF. graminearum\u003c/em\u003e strain CBS 185.32 and the \u003cem\u003eF. avenaceum\u003c/em\u003e strain INRAE 498 were considered in this assay. 10\u003csup\u003e4\u003c/sup\u003e spores/mL of \u003cem\u003eF. graminearum\u003c/em\u003e and \u003cem\u003eF. avenaceum\u003c/em\u003e, prepared in CMC medium as previously described, were incubated for 45 minutes in MS medium supplemented with TC3 labeled with the fluorophore fluorescein isothiocyanate (FITC) at 25 \u0026micro;M and with 5 \u0026micro;g/mL FM 4-64 prepared according to the supplier\u0026rsquo;s recommendations. The imaging was performed using a confocal microscope (Zeiss LSM 880) equipped with an Apochromat 63X/1.4 oil objective. Laser excitation lines for the different fluorophores were 488 nm for TC3-FITC or FM4-64. Fluorescence emissions were detected at 490\u0026ndash;561 nm for FITC and 642\u0026ndash;695 nm for FM4-64. In multi-labeling acquisitions, detection was in sequential line-scanning mode with a line average of 4. Confocal microscope images were processed using the Zen Black Software (V2.3 Zeiss) for intensity optimization.\u003c/p\u003e\n\u003ch3\u003e2.7. Statistical analyses\u003c/h3\u003e\n\u003cp\u003eAll presented values are mean \u0026plusmn; standard deviation including six biological replications (liquid cultures) or three biological replications (detached leaf assay, sporulation and germination assays). Since the data were non-normally distributed (Shapiro\u0026ndash;Wilk normality test), the Kruskal\u0026ndash;Wallis one-way analysis was used, with mean comparisons performed using the Mann\u0026ndash;Whitney U test. Statistical analysis was conducted with R (version 4.2.0 ) (R Core Team) and figures were produced using the package ggplot (Wickham 2016). Statistical significance was considered at \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.05 and \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.01.\u0026nbsp;\u003c/p\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003ch2\u003e3.1. Species- and strain-dependent antifungal activity of TC3\u003c/h2\u003e\n \u003cp\u003eThe peptide TC3 was first tested at 50\u0026micro;M against a set of five isolates belonging to each of the six \u003cem\u003eFusarium\u003c/em\u003e species frequently associated with FHB: \u003cem\u003eF. graminearum\u003c/em\u003e, \u003cem\u003eF. avenaceum\u003c/em\u003e, \u003cem\u003eF. tricinctum\u003c/em\u003e, \u003cem\u003eF. langsethiae\u003c/em\u003e, \u003cem\u003eF. poae\u003c/em\u003e, and \u003cem\u003eF. culmorum\u003c/em\u003e. Fungal biomass data in control and TC3-treated 10-day old cultures are reported in Fig.\u0026nbsp;1.\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eFigure1: Effect of TC3 at 50 \u0026micro;M on the fungal biomass weight in 10-day old cultures of five strains belonging to the species F. graminearum (in blue), F. culmorum (in orange), F. langsethiae (in green), F. avenaceum (in brown), F. tricinctum (in red) and F. poae (in grey).\u003c/em\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eReported data are means and standard deviation values. Results in control (C) and TC3-treated (TC3) groups within each species were compared by Mann\u0026ndash;Whitney U test (**** p\u0026thinsp;\u0026lt;\u0026thinsp;0.0001; ** p\u0026thinsp;\u0026lt;\u0026thinsp;0.01;\u003c/em\u003e * p\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003cem\u003e).\u003c/em\u003e\u003c/p\u003e\n \u003cp\u003eResults displayed in Fig.\u0026nbsp;1 indicated a significant reduction in fungal biomass induced by the TC3 treatment for four of the five considered \u003cem\u003eF. graminearum\u003c/em\u003e strains (INRAE 164, CBS 185.32, INRAE 605 and PH-1). Inhibition percentages were ranging between 50% (PH-1) and 80% (CB18.532). For the 34W23.23.4 isolate, a reduction trend in biomass was also suggested by our data; this decrease was however not statistically different in comparison to the control. As shown in Fig.\u0026nbsp;1, a significant reduction (from 30\u0026ndash;100%) of fungal biomass yield in TC3-supplemented media was observed for all the tested \u003cem\u003eF. culmorum\u003c/em\u003e isolates. Similarly, the growth of most of the studied \u003cem\u003eF. poae\u003c/em\u003e isolates was affected by the peptide. Indeed, only the INRAE 172 strain did not show a reduced biomass when exposed to TC3. When considering \u003cem\u003eF. langsethiae\u003c/em\u003e, results reported in Fig.\u0026nbsp;1 indicated that TC3 supplementation led to a decreased mycelium weight for the three isolates that have shown a sufficient amount of biomass in 10-day-old broths (INRAE 493, INRAE 502, INRAE 509). According to data associated with the panel of \u003cem\u003eF. avenaceum\u003c/em\u003e isolates, a significant reduction in fungal biomass yield was observed for only two strains, INRAE 112 and INRAE 495. The reduction in fungal growth was close to 33% (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) for INRAE 112 and 44% (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.01) for INRAE 495 compared to their respective control groups. The fungal biomass of strains INRAE 113, INRAE 498 and FaLH27 was not affected by the defensin \u0026gamma;-core. Results were quite similar for the \u003cem\u003eF. tricinctum\u003c/em\u003e species (Fig.\u0026nbsp;1) where the growth of only two among the five tested isolates was significantly impacted by TC3 supplementation. Overall, while evidencing the wide antifungal activity of TC3 against various \u003cem\u003eFusarium\u003c/em\u003e species causing FHB, our data also suggested that the \u003cem\u003eF. avenaceum\u003c/em\u003e and \u003cem\u003eF. tricinctum\u003c/em\u003e species could be less susceptible to the peptide than \u003cem\u003eF. graminearum, F. culmorum, F. poae and F. langsethiae.\u003c/em\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003e3.2 Species- and strain-dependent capacity of TC3 to decrease mycotoxin yield\u003c/h2\u003e\n \u003cp\u003eResults of mycotoxin quantification in liquid cultures, supplemented or not with TC3, inoculated by each of the five strains of the different \u003cem\u003eFusarium\u003c/em\u003e species (\u003cem\u003eF. graminearum, F. culmorum, F. langsethiae, F. avenaceum and F. tricinctum\u003c/em\u003e) are gathered in Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e. No data related to \u003cem\u003eF. poae\u003c/em\u003e have been reported in Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e since, in our experimental conditions, no detectable level of any mycotoxins (NIV, FX, DAS, MAS, T2, HT2, ENNs, BEA) was observed after 10 days in control and TC3-treated cultures, whatever the \u003cem\u003eF. poae\u003c/em\u003e inoculated strain.\u003c/p\u003e\n \u003cp\u003eFigure 2: Effect of TC3 at 50 \u0026micro;M on the production of TCTB by five strains of F. graminearum (2a in blue) and F. culmorum (2b in orange), of TCTA by five strains of F. langsethiae (2 c in green) and of ENN by five strains of F. avenaceum (2d in brown) and F. tricinctum (2e in red) in 10-day-old broths. Mycotoxins are expressed as \u0026micro;g per g dry biomass. The results shown are means and standard deviation values. Results in control (C) and TC3-treated (TC3) groups for each isolate were compared by Mann\u0026ndash;Whitney U test (** p \u0026lt; 0.01, * p \u0026lt; 0.05).\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eRegarding the production of TCTB (DON\u0026thinsp;+\u0026thinsp;15ADON) by \u003cem\u003eF. graminearum\u003c/em\u003e (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003ea), the levels of mycotoxins produced by the strains INRAE 164 and 34W23.23.4 in control conditions were below the limit of quantification of the HPLC-DAD method. For the three strains for which a quantifiable amount of toxins was observed in untreated conditions, the supplementation with TC3 led to a reduction of TCTB yields. This reduction was statistically significant and drastic for CB18.532 and PH-1 strains, and not significant for INRAE 605 strain. Regarding \u003cem\u003eF. culmorum\u003c/em\u003e cultures, quantified mycotoxins were in accordance with strain chemotype, \u003cem\u003ei.e\u003c/em\u003e. NIV\u0026thinsp;+\u0026thinsp;FX for INRAE 121, INRAE 123 and INRAE 134, and DON\u0026thinsp;+\u0026thinsp;3-ADON for INRAE 124 and INRAE 125. A strong reduction of TCTB in TC3-treated conditions was observed for INRAE 121 and INRAE 134 while for INRAE 124 and INRAE 125, no effect and even an increase in TCTB concentrations was noticed. T-2 and HT-2 were quantified in three of the five 10-day old cultures of \u003cem\u003eF. langsethiae\u003c/em\u003e (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003ec) and the peptide treatment was shown to significantly and negatively affect the production of mycotoxins by two strains, INRAE 466 and INRAE 509. Regarding the production of ENNs by \u003cem\u003eF. avenaceum\u003c/em\u003e (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003ed), three strains were capable of producing quantifiable amounts of ENNs in our experimental conditions. For these three strains, a significant inhibition of ENNs yield induced by TC3 was only observed for INRAE 498. On the contrary, an increase in ENNs accumulated in TC3-supplemented broths was observed for INRAE 495 and FaLH27 strains. It should however be noticed that the production of ENNs by INRAE 495 strain was very weak, lower than 10 \u0026micro;g/g. Finally, regardless of the considered \u003cem\u003eF. tricinctum\u003c/em\u003e strain, its production of ENNs was never significantly affected by TC3-treatment (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003ee). Overall, according to data gathered in Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e, it seems that there is much more variability when considering the TC3 impact on mycotoxin yield than when studying its fungicidal activity. Moreover, the production of ENNs appeared as less affected by the presence of TC3 in liquid medium than that of trichothecenes, either TCTB or TCTA.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003e3.3. Fungicidal and anti-mycotoxin properties of TC3 at different fungal life cycle stages of \u003cem\u003eF. graminearum\u003c/em\u003e\u003c/h2\u003e\n \u003cp\u003eFigure 3. Effect of TC3 at 50 \u0026micro;M added at different days post-inoculation on F. graminearum. Kinetics of F. graminearum CBS 185.32 growth without treatment (a). The arrows represent the supplementation day for the test of TC3 on different life cycle stages: brown arrow for the supplementation at o dpi, green arrow for supplementation at 1 dpi, blue arrow for supplementation at 3 dpi and pink arrow for supplementation at 5 dpi. Effect of TC3 at 50 \u0026micro;M (added at 0, 1, 3 and 5 dpi) on the fungal biomass weight of F. graminearum CBS 185.32 (b) and the production of TCTB (c) in 14-day-old broths. Results in control (C) and TC3-treated (TC3) groups were compared to the control by Mann\u0026ndash;Whitney U test (** p \u0026lt; 0.01; ns: not significant).\u003c/p\u003e\n \u003cp\u003eTo determine the effect of the peptide TC3 according to the life cycle stage of \u003cem\u003eF. graminearum\u003c/em\u003e CBS 185.32, TC3 was supplemented before fungal inoculation (0 dpi), at 1 and 3 dpi (during the exponential phase of growth) and at 5 dpi (inflection of the growth kinetics). Results are reported in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e. It clearly appears that TC3 induced a significant inhibition of fungal growth and mycotoxin yield only when it was applied at 0 dpi (at the spore stage). For all other conditions, i.e. when the peptide was applied when the mycelium started to develop (1 dpi), during the exponential phase of growth (3 dpi), or at the beginning of growth kinetics inflection (5 dpi), no effect was observed regarding both fungal growth and mycotoxin production. These results suggested that the \u003cem\u003eF. graminearum\u003c/em\u003e spore germination stage is the only susceptible stage to the TC3 peptide.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n \u003ch2\u003e3.4. Effects of TC3 on \u003cem\u003eF. graminearum\u003c/em\u003e and \u003cem\u003eF. avenaceum\u003c/em\u003e sporulation and germination\u003c/h2\u003e\n \u003cp\u003eTo clarify the effect of TC3 on the early stages of fungal development, anti-sporulation and anti-germination assays were conducted using the \u003cem\u003eF. graminearum\u003c/em\u003e CBS 185.32 strain and, as a comparison, \u003cem\u003eF. avenaceum\u003c/em\u003e INRAE 498 (Figs.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e and \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). As a reminder, the fungal biomass of INRAE 498 was not affected by the presence of TC3 in liquid cultures (Fig.\u0026nbsp;1).\u003c/p\u003e\n \u003cp\u003eFigure 4. Effect of TC3 at 0 \u0026micro;M, 25 \u0026micro;M, and 50 \u0026micro;M on the number of spores of F. graminearum CBS 185.32 (a) and F. avenaceum INRAE 498 (b) in 3-day-old CMC medium. Results shown are means and standard deviation values. Results in control and TC3-treated groups within each species were compared by Mann\u0026ndash;Whitney U test (ns: not significant).\u003c/p\u003e\n \u003cp\u003eOne mycelial plug of each studied strain was incubated in CMC conidiation medium supplemented with TC3 at 0, 25 and 50 \u0026micro;M for 3 days. The numbers of counted spores in each condition and for each strain are reported in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e. The peptide TC3 induced a dose-dependent anti-sporulation effect on \u003cem\u003eF. graminearum\u003c/em\u003e (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003ea). The mean number of spores was 32.10\u003csup\u003e4\u003c/sup\u003e spores/mL in control conditions while this number was reduced to 16.10\u003csup\u003e4\u003c/sup\u003e spores/mL with 25 \u0026micro;M TC3 and 9.10\u003csup\u003e4\u003c/sup\u003e spores/mL with 50 \u0026micro;M TC3. This inhibition effect was however not statistically significant, certainly as a result of the large standard deviation and insufficient number of biological repetitions. When considering \u003cem\u003eF. avenaceum\u003c/em\u003e INRAE 498, it clearly appeared that the TC3 peptide had no effect on its sporulation (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003eb).\u003c/p\u003e\n \u003cp\u003eFigure 5. Effect of TC3 at 25 \u0026micro;M and 50 \u0026micro;M on the percentage of germinated spores relative to the total spores of F. graminearum CBS 185.32 (a) and F. avenaceum INRAE 498 (b) at 0, 4 and 8 HAI. Results shown are means and standard deviation values. Results in control and TC3-treated groups within each species were compared by Mann\u0026ndash;Whitney U test (* p \u0026lt; 0.05; ns: not significant).\u003c/p\u003e\n \u003cp\u003eTo determine the effect of the antifungal peptide TC3 on \u003cem\u003eFusarium\u003c/em\u003e spore germination, a similar concentration of spores (4.10\u003csup\u003e4\u003c/sup\u003e spores/mL) of \u003cem\u003eF. graminearum\u003c/em\u003e CBS 185.32 and \u003cem\u003eF. avenaceum\u003c/em\u003e INRAE 498 were incubated in presence of TC3 25 and 50 \u0026micro;M and the number of germinated spores was counted within 8 hours. Results are reported in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e. When first looking at the spore germination kinetics of \u003cem\u003eF. graminearum\u003c/em\u003e in control medium, data indicate that 30% and 60% of the spores were germinated after 4h and 8h incubation, respectively (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003ea). Treatment with TC3 led to a sharp and dose-dependent inhibition of spore germination. At 4 HAI, the percentage of germinated spores was 9% (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 1% (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) for 25\u0026micro;M and 50\u0026micro;M TC3 treatments, respectively, compared to the control. This effect was even more pronounced at 8 HAI: while 60% of germinated spores were recorded in the control condition, this percentage was reduced to 16% (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 3% (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) with TC3 at 25\u0026micro;M and 50\u0026micro;M, respectively. When focusing on \u003cem\u003eF. avenaceum\u003c/em\u003e INRAE 498, data reported in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003eb clearly indicate that, in our experimental conditions, the kinetics of spore germination was significantly delayed compared to that of \u003cem\u003eF. graminearum\u003c/em\u003e CBS 185.32. Indeed, no germinated spores were detected in control at 4 HAI. Germination appeared to start between 4 and 8 h of incubation, and reached 60% at 8 HAI. However, as it has been observed for \u003cem\u003eF. graminearum\u003c/em\u003e, TC3 at both 25 and 50 \u0026micro;M was able to drastically inhibit the germination of \u003cem\u003eF. avenaceum\u003c/em\u003e spores.\u003c/p\u003e\n \u003cp\u003eTo summarize, TC3 possesses an anti-sporulation activity against \u003cem\u003eF. graminearum\u003c/em\u003e but not against \u003cem\u003eF. avenaceum\u003c/em\u003e and a significant capacity to inhibit spore germination for both isolates. This inhibition of spore germination is associated with a reduction of fungal biomass in 10-day-old broths of \u003cem\u003eF. graminearum\u003c/em\u003e but not for \u003cem\u003eF. avenaceum\u003c/em\u003e (Fig.\u0026nbsp;1).\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\n \u003ch2\u003e3.5. TC3 is recruited by the cell envelope of \u003cem\u003eF. graminearum and F. avenaceum\u003c/em\u003e spores\u003c/h2\u003e\n \u003cp\u003eTo investigate the interactions of the TC3 peptide with the spores of \u003cem\u003eF. graminearum\u003c/em\u003e CBS 185.32 and \u003cem\u003eF. avenaceum\u003c/em\u003e INRAE 498 and visualize the potential internalization of TC3 within the fungal cell, a fluorescence microscopy assay was implemented with the use of a TC3 peptide labeled with a fluorescent reagent. The fluorescein isothiocyanate (FITC) was selected due to its high luminous yield, a rather low molecular weight (389 Da) and the fact that FITC possesses the same excitation wavelength with the fluorescent stain FM4-64 (488 nm) but different emission wavelength. Indeed, spores were simultaneously treated with TC3-FITC and FM4-64. FM4-64 is known to insert into the outer leaflet of the fungal plasma membrane. Germinated spores were never visualized in any of the TC3-FITC incubation tests of up to four hours in duration, supporting the anti-germination activity of TC3-FITC.\u003c/p\u003e\n \u003cp\u003eFigure 6. Fluorescence microscopy of F. graminearum (a, b, c) and F. avenaceum (d, e, f) spores in presence of TC3 peptide. The peptide was labeled with FITC observed in green and with the fluorescent dye FM4-64 in red. (c and f). The merged pictures present cross-section observations (c1, c2, f1, and f2) of the spores with an orthogonal view from different planes (x/y, x/z or y/z). F. graminearum and F. avenaceum were observed with a Plan-Apochromat at resolution 63X/1.4 oil.\u0026nbsp;\u003c/p\u003e\n \u003cp\u003eWithin 45 min of treatment, TC3-FITC was found to bind on the conidial surface for the two studied species (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). The interaction was characterized by a homogeneous distribution of the green fluorescent signal along the hyphae and septa. In order to reach a more accurate location of the FITC-TC3 peptide at the cellular envelope, spores were treated with a mixture of FITC-TC3 and FM4-64. Membranes stained by FM4-64 were clearly visualized, including membranes around organelles (red fluorescence in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). But no green fluorescence within the fungal cells (Figs.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e.c1 and 6.c2, Figs.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e.f1 and 6.f2) was observed regardless of the considered \u003cem\u003eFusarium\u003c/em\u003e species, suggesting that TC3-FITC was not internalized. Besides, the green patches observed in Figs.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003eb and \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003ec reflect the possible occurrence of peptide aggregation.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\n \u003ch2\u003e3.5 Detached leaves assays support the \u003cem\u003ein planta\u003c/em\u003e efficiency of TC3 against \u003cem\u003eF. graminearum\u003c/em\u003e\u003c/h2\u003e\n \u003cp\u003eBioactivity of TC3 was further investigated on wheat detached leaves inoculated with the DON/15-ADON \u003cem\u003eF. graminearum\u003c/em\u003e CBS 185.32 strain. Results are reported in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e.\u003c/p\u003e\n \u003cp\u003eFigure 7: Results of detached leaf assays. a - Necrosis surfaces (in mm2) on wheat leaves inoculated with \u003cem\u003eF. graminearum\u003c/em\u003e pre-treated with TC3 125 \u0026micro;M (in blue) or with sterile water (in grey). Significant differences are labeled with different letters (p\u0026lt;0.05). b - Quantification of fungal DNA (5 days post inoculation) extracted from wheat leaves pre-treated (in blue) or not (in grey) with TC3 125 \u0026micro;M. Significant differences are labeled with different letters (p\u0026lt;0.05).\u003c/p\u003e\n \u003cp\u003eThe capacity of TC3 125 \u0026micro;M to reduce the disease symptoms induced by \u003cem\u003eF. graminearum\u003c/em\u003e was significant when comparing the necrosis surfaces between the different treatments, as shown in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003ea. Moreover, fungal DNA quantification allowed to demonstrate the efficiency of the TC3 treatment to inhibit the spread of \u003cem\u003eF. graminearum\u003c/em\u003e on wheat leaves (Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003eb). Regarding mycotoxins in inoculated wheat leaves, only traces of DON (below the quantification limit of the LC-DAD procedure used in this study) were observed in control conditions (data not shown).\u003c/p\u003e\n\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThe present study demonstrates that the γ-core motif TC3 reduces the growth of numerous of the \u003cem\u003eFusarium\u003c/em\u003e species causing FHB, including \u003cem\u003eF. graminearum\u003c/em\u003e, \u003cem\u003eF. culmorum\u003c/em\u003e, \u003cem\u003eF. poae\u003c/em\u003e and \u003cem\u003eF. langsethiae\u003c/em\u003e. However, while confirming previously published data on the efficiency of TC3 towards \u003cem\u003eF. graminearum\u003c/em\u003e (Tonk et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Leannec-Rialland et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), the present study also showed that the sensitivity of mycotoxin-producing fungi varies according to the species and also the strain. Such differences in fungal species susceptibilities to defensins have already been described and are discussed in the review of Leannec-Rialland et al. (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). For instance, in the study of Theis et al. (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2003\u003c/span\u003e), F. \u003cem\u003esporotrichioides\u003c/em\u003e species was significantly more susceptible to a defensin originating from \u003cem\u003eAspergillus giganteus\u003c/em\u003e than \u003cem\u003eF. culmorum\u003c/em\u003e. According to our data, the growth of \u003cem\u003eF. avenaceum\u003c/em\u003e and \u003cem\u003eF. tricinctum\u003c/em\u003e, two species known as weak fungal pathogens (Birr et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) appear to be much less affected by the TC3 treatment than the other tested \u003cem\u003eFusarium\u003c/em\u003e species, and particularly compared to the two aggressive \u003cem\u003eF. graminearum and F. culmorum\u003c/em\u003e species. Surprisingly, according to our results, this lower susceptibility seemed not related to differences in the capacity of TC3 to inhibit the germination of spores. We could imagine that TC3 induces a delayed germination rather than a stop and/or that the residual number of \u003cem\u003eF. avenaceum\u003c/em\u003e germinated spores in TC3 treated conditions is sufficient to initiate a mycelium growth that will rapidly offset the germination inhibitory effect of TC3. This hypothesis requires however to be demonstrated. Nevertheless, such a lower susceptibility to antifungal compounds of \u003cem\u003eF. avenaceum\u003c/em\u003e compared to that of other species of the FHB complex has already been reported in previous studies (Tini et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Using in vitro and field trials and a set of strains of the \u003cem\u003eF. graminearum\u003c/em\u003e, \u003cem\u003eF. culmorum\u003c/em\u003e, \u003cem\u003eF. poae\u003c/em\u003e and \u003cem\u003eF. avenaceum\u003c/em\u003e species, the aforementioned authors have demonstrated the reduced susceptibility of \u003cem\u003eF. avenaceum\u003c/em\u003e to various synthetic fungicides and notably to metconazole. Mechanisms explaining the differential efficiency of fungicides towards species of the FHB complex are poorly understood. One explanation could be related to a differential equipment in efflux pumps between the species/strains. However, this hypothesis still needs to be validated.\u003c/p\u003e \u003cp\u003eMoreover, our data illustrated that TC3 was not only capable of affecting the fungal growth but also the production of various mycotoxins by most of the species involved in FHB. In addition to an inhibition of DON and 15-ADON yield, TC3 supplementation was shown to induce decreased amounts of NIV and FX, T-2 and HT-2. A reduction of ENNs yield induced by TC3 was however observed for only one ENNs-producing strain among the 10 tested. The observed reduction in mycotoxin production was not systematically associated with an inhibition of fungal biomass suggesting that the two effects could be independent. Such a result corroborated previous data published on the activity of TC3 (at lower concentrations than those used in the present study) towards \u003cem\u003eF. graminearum\u003c/em\u003e and DON\u0026thinsp;+\u0026thinsp;15-ADON production (Leannec-Rialland et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Similarly to TC3, various antifungal peptides have also been reported as specific mycotoxin-production inhibitors with a capacity to control the yield of mycotoxins without affecting the fungal growth (Mart\u0026iacute;nez-Culebras et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The mechanisms underlying this specific effect are still not completely understood; one of the most frequent explanation is related to the capacity of antifungal peptides to affect the transcription of key genes or the enzymatic activity of key proteins involved in the biosynthesis of mycotoxins (Mart\u0026iacute;nez-Culebras et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Other hypotheses are based on the alterations of cellular pH or ROS levels triggered by exposition to antimicrobial peptides (Leannec-Rialland et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2022\u003c/span\u003e); pH and redox status being two key factors acknowledged to affect the production of some mycotoxins including TCTB and TCTA (Wang et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAltogether, our results, that have documented the species and strain-dependent effect of TC3, raise a potential concern of shifts in FHB community induced by a TC3-based plant care treatment applied during cereal cultivation. An overrepresentation of \u003cem\u003eF. avenaceum\u003c/em\u003e and potentially an increase in ENNs contamination levels cannot be excluded. Such unexpected effects mediated by fungicide treatment has already been documented. In their report, Audenaert et al. (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2011\u003c/span\u003e) indicated that the application of azole fungicides in wheat fields caused a shift in \u003cem\u003eFusarium\u003c/em\u003e population with \u003cem\u003eF. poae\u003c/em\u003e (more resistant to azole fungicides) being dominant and replacing \u003cem\u003eF. graminearum\u003c/em\u003e. Besides, not only different susceptibilities to a biosolution but also the occurrence of interactions between the \u003cem\u003eFusarium\u003c/em\u003e species that share a common niche when infecting cereals require consideration. Yet, a recent publication of Tan et al. (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) has demonstrated that the biocontrol capacity of actinobacteria against \u003cem\u003eF. graminearum\u003c/em\u003e was critically hampered by the presence of \u003cem\u003eF. poae\u003c/em\u003e and has highlighted the limits of single-strain and/or single-species approaches. In this direction, our future perspective is to evaluate the antifungal and anti-mycotoxin efficiency of TC3 in the context of multi-species infections involved in FHB complex considering their interactions.\u003c/p\u003e \u003cp\u003eAccording to our data, the conidiation and germination stage of \u003cem\u003eF. graminearum\u003c/em\u003e and only the germination stage for \u003cem\u003eF. avenaceum\u003c/em\u003e were sensitive to the γ-core motif TC3. The peptide did not appear to affect the mycelial growth. These data corroborate previous results published by Tonk et al. (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2014\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) who have highlighted the anti-germination activity of \u003cem\u003eIxodes scapularis\u003c/em\u003e and \u003cem\u003eIxodes ricinus\u003c/em\u003e defensins. They also support the frequently reported observation that the fungal germination stage is the most sensitive developmental stage to antifungal compounds including phenolic compounds (Ahmed et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Similarly, strobilurin fungicides, which block electron transport at the site of quinol oxidation in the cytochrome bc1 complex of the mitochondrial electron transport chain, are highly efficient inhibitors of spore germination but much less active to prevent mycelial growth (Bartlett et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). On the contrary, some fungicides are reported as more active on mycelial growth than on spore germination. This is for instance the case for azole fungicides that are inhibitors of ergosterol biosynthesis (Hof, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). Because of the anti-germination effect of TC3 and its lack of fungicidal activity, use of TC3-based plant protection products could only be considered as a potential solution to prevent plant infection by \u003cem\u003eFusarium\u003c/em\u003e species and not as a treatment.\u003c/p\u003e \u003cp\u003eAccording to our previously published study (Leannec-Rialland et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), the γ-core motif TC3 was predicted to interact with specific membrane phospholipids of \u003cem\u003eF. graminearum\u003c/em\u003e. However, the membrane composition used for this \u003cem\u003ein silico\u003c/em\u003e prediction was based on old data, published in 1989 (Wiebe et al., \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e1989\u003c/span\u003e), and no further information on \u003cem\u003eF. graminearum\u003c/em\u003e membrane composition has been delivered since. Using a fluorescent labeled TC3 peptide, the microscopy observations obtained in the present study seem to corroborate the TC3 interactions with \u003cem\u003eF. graminearum\u003c/em\u003e membranes. But, unfortunately, our experimental conditions did not allow a definitive conclusion about whether the TC3 fixation was happening at the fungal cell wall or the plasma membrane. Three models describe the potential membrane-permeabilizing activity of defensins through the interaction with host membrane components (Brogden, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). TC3 appeared to accumulate on the surface of the spores and to surround them. This evokes a carpet-like interaction, which is one of the described modes of interaction of defensins with fungal membranes (Leannec-Rialland et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). With this hypothesis, TC3 could induce dysfunctions of calcium influx and potassium efflux. Besides, with the concentration of labeled peptide and the time of application used in this study, no internalization of the peptide was evidenced. Since defensin internalization has been shown as time and concentration dependent (Tetorya et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), we can however not exclude that TC3 internalization could occur when applying other experimental conditions.\u003c/p\u003e \u003cp\u003eWhile the scientific insights reported in the present study corroborate the promising potential of the TC3 peptide to be used as a biopesticide solution to control FHB disease and minimize dependence to synthetic fungicide, this progress should however not hide several barriers that need to be addressed before the development of a plant protection product. The first one is related to efficiency and stability. Actually, compared to commonly used synthetic fungicides including tebuconazole and carbendazim, TC3 is significantly less efficient (5-fold less efficient to repress \u003cem\u003eF. graminearum\u003c/em\u003e growth according to the in vitro assays used throughout this study). This efficacy can also be compromised by proteolytic degradation and oxidation (Leannec-Rialland et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) and formulation improvement will be required to protect and potentially enhance TC3 bioactivity. A second barrier results from uncertainties concerning possible toxic effects of TC3 to mammals and environment. Indeed, despite evidence supporting the lack of \u003cem\u003ein vitro\u003c/em\u003e cytotoxicity of defensins (Benitez-Chao et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2021\u003c/span\u003e), a comprehensive toxicity assessment will be required to avoid risk and health hazards related to the use of TC3 as a plant protection product and allow registration by competent authorities. Additional work is also needed to provide further understanding of TC3 mechanism of action and investigate its potential effects on non-target organisms and therefore its lack of hazardous impacts on environment. Regarding non-target effects on microorganisms, first promising data have been obtained by Tonk et al (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2015\u003c/span\u003e) who reported that, compared to native \u003cem\u003eIxodes ricinus\u003c/em\u003e defensins, their γ-cores have less effects on distantly-related bacteria and fungi. The issue of a large-scale and cost-effective TC3 production is another key challenge that should be overcome. To that end, finely-tuned recombinant approaches are expected to open up promising avenues (Leannec-Rialland et al., \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Lastly, the lengthy and complex product approval processes in the EU can pose another barrier to efficient market access for functional peptide-based biosolutions such as a TC3-based one (Montesinos, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The balance between benefits related to the biofungicide use and cost of the product development needs to be sufficiently positive to convince plant protection companies to invest in expensive and time-consuming regulatory registration procedures.\u003c/p\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eThe γ-core motif of the defensin DefMT3 from \u003cem\u003eIxodes ricinus\u003c/em\u003e is a potent antifungal peptide that inhibits the fungal growth and mycotoxin production of various \u003cem\u003eFusarium\u003c/em\u003e species when applied at the spore stage. The peptide can bind on the outer parts the spores and is likely to interfere with fungal cell ionic exchanges, which is certainly one of the first hypothesis that can explain its bioactivity. By increasing the knowledge on the effect and mechanisms of action of the TC3 peptide and proving its bioactivity using \u003cem\u003ein planta\u003c/em\u003e assays, the current study supports the promising use of defensin-based products as environment-friendly treatments for controlling FHB. However, the demonstrated species-dependent efficiency of the peptide raises the concern of potential shift in the \u003cem\u003eFusarium\u003c/em\u003e populations such as in mycotoxin profiles contaminating grains mediated by its application in wheat fields. Further studies are required to support or negate the occurrence of such unintended effects.\u003c/p\u003e"},{"header":"Statements \u0026 Declarations","content":"\u003cp\u003eAcknowledgements: \u0026nbsp;The authors would thank Maider Abadie and Lee Cutter for editing and proof reading this review.\u003c/p\u003e\n\u003cp\u003eAuthor Contribution Statement: RFF and LRV conceived and designed research. LRV, MT and PGL conducted experiments. LRV, AV, CS, PGL, CCA and RFF analyzed data. LRV and RFF wrote the manuscript. All authors read and approved the manuscript.\u003c/p\u003e\n\u003cp\u003eFunding: The research was financially supported by INRAE, MICA department (TickTox project, MICA20202021).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eNotes: The authors declare that there is no conflict of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAhmed OS, Tardif C, Rouger C, et al (2022) Naturally occurring phenolic compounds as promising antimycotoxin agents: Where are we now? Compr. Rev. Food Sci. Food Saf. 21:1161\u0026ndash;1197. https://doi.org/10.1111/1541-4337.12891\u003c/li\u003e\n \u003cli\u003eAudenaert K, Landschoot S, Vanheule A, et al (2011) Impact of Fungicide Timing on the Composition of the Fusarium Head Blight Disease Complex and the Presence of Deoxynivalenol (DON) in Wheat. 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Plant-Microbe Interact. 22:1143\u0026ndash;1150. https://doi.org/10.1094/MPMI-22-9-1143\u003c/li\u003e\n \u003cli\u003e(2024)Commission Regulation (EU) 2024/1756 of 25 June 2024 amending and correcting Regulation (EU) 2023/915 on maximum levels for certain contaminants in food (Text with EEA relevance). https://eur-lex.europa.eu/eli/reg/2024/1756/oj\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-plant-diseases-and-protection","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jpdp","sideBox":"Learn more about [Journal of Plant Diseases and Protection](https://www.springer.com/journal/41348)","snPcode":"41348","submissionUrl":"https://www.editorialmanager.com/jpdp","title":"Journal of Plant Diseases and Protection","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Fusarium, Fusarium head blight, mycotoxins, tick defensins, biocontrol","lastPublishedDoi":"10.21203/rs.3.rs-4995777/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4995777/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eCereal crops are frequently affected by \u003cem\u003eFusarium\u003c/em\u003e species that are responsible for the devastating fungal disease \u003cem\u003eFusarium\u003c/em\u003e Head Blight (FHB). These \u003cem\u003eFusarium\u003c/em\u003e species are also capable of producing mycotoxins that accumulate in grains. Reducing the use of synthetic fungicides in agriculture while guaranteeing low levels of mycotoxin contamination in crops requires the development of innovative and environment-friendly solutions. TickCore3 (TC3) is the γ-core of the \u003cem\u003eIxodes ricinus\u003c/em\u003e tick defensin DefMT3. This peptide was previously reported as a potent antifungal and anti-mycotoxin agent but was only tested against one strain of \u003cem\u003eFusarium graminearum\u003c/em\u003e, which is only one of the species causing FHB. In this study, we demonstrated that the peptide was active against major \u003cem\u003eFusarium\u003c/em\u003e species infecting wheat and could mitigate the accumulation of various mycotoxins. Fungal susceptibility to TC3 was shown to vary significantly according to the species and the strain as well. We found that TC3 is highly efficient when applied to the spores and has a strong anti-germination activity. Using a FITC-labeled TC3 peptide and confocal microscopy, we showed that TC3 has a strong affinity for the conidia surface and surrounds these fungal structures. Finally, the implementation of \u003cem\u003ein planta\u003c/em\u003e tests demonstrated the bioactivity of TC3 when applied on wheat leaves. This study provides additional convincing results supporting the huge potential of TC3 as a novel and efficient anti-fungal agent to control FHB.\u003c/p\u003e","manuscriptTitle":"New insights into the antifungal and anti-mycotoxigenic potential of the TickCore3 peptide against Fusarium species causing Fusarium Head Blight","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-20 09:34:01","doi":"10.21203/rs.3.rs-4995777/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Accept","date":"2025-01-29T05:17:37+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2024-12-19T14:06:55+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-12-19T09:45:01+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-12-09T13:59:57+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Plant Diseases and Protection","date":"2024-12-06T09:25:52+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-plant-diseases-and-protection","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jpdp","sideBox":"Learn more about [Journal of Plant Diseases and Protection](https://www.springer.com/journal/41348)","snPcode":"41348","submissionUrl":"https://www.editorialmanager.com/jpdp","title":"Journal of Plant Diseases and Protection","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"cac84629-ad8d-41ce-9524-fcbe48d2b43a","owner":[],"postedDate":"December 20th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-02-24T16:02:05+00:00","versionOfRecord":{"articleIdentity":"rs-4995777","link":"https://doi.org/10.1007/s41348-025-01069-2","journal":{"identity":"journal-of-plant-diseases-and-protection","isVorOnly":false,"title":"Journal of Plant Diseases and Protection"},"publishedOn":"2025-02-19 15:56:51","publishedOnDateReadable":"February 19th, 2025"},"versionCreatedAt":"2024-12-20 09:34:01","video":"","vorDoi":"10.1007/s41348-025-01069-2","vorDoiUrl":"https://doi.org/10.1007/s41348-025-01069-2","workflowStages":[]},"version":"v1","identity":"rs-4995777","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4995777","identity":"rs-4995777","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}