Balancing Processability and functional Performance of Ethylene-Modified PVOH Coatings on Kraft paper

Balancing Processability and functional Performance of Ethylene-Modified PVOH Coatings on Kraft paper | 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 Balancing Processability and functional Performance of Ethylene-Modified PVOH Coatings on Kraft paper Antonio Barbato, Ffyon Moody, Andrew Claypole, Loredana Incarnato, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8144087/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The application of biodegradable polymeric coatings is an effective strategy to enhance the functional performance of paper-based materials while preserving their recyclability. This study investigates the relationship between polymer concentration, processability and performance of an ethylene-modified poly(vinyl alcohol) (m-PVOH) coating applied to a Kraft paper (KP) substrate. The rheology of aqueous m-PVOH solutions (5–30 wt%) were measured to assess their suitability for high-speed coating processes such as gravure and flexography, and the effect of ageing on their stability. Viscosity increased with polymer concentration, with a critical transition between 20 and 30 wt% where polymer–polymer interactions and irreversible structural rearrangements became dominant. Formulations containing 10–20 wt% m-PVOH were selected for paper coating based on the rheology and processability criteria. Higher polymer concentrations reduced impregnation into the paper matrix, leading to the formation of compact and continuous coating layers. The coated papers exhibited significantly enhanced air and water resistance, while maintaining stable oxygen and water vapour barrier properties (OTR ≈ 580 cm³/(m²·day·bar), WVTR ≈ 4 g/(m²·day)). The coatings also increased surface polarity and preserved the mechanical integrity of the substrate. m-PVOH formulations can enable scalable, recyclable, and environmentally friendly paper-based packaging solutions. Ethylene-modified polyvinyl alcohol barrier coatings Kraft paper rheological behaviour coating processability sustainable packaging Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Introduction Significant efforts have been made over the last two decades to apply a holistic approach throughout the supply chain (Pålsson and Hellström 2016 ; Silva and Pålsson 2022 ; Dörnyei et al. 2023 ) to align packaging's functional requirements with the economic, social, and environmental goals of sustainable development (Versino et al. 2023 ). Research has focused on materials derived from renewable natural sources such as bioplastics (Thakur et al. 2018 ) and cellulose (Carolin C et al. 2023) as substitutes for the environmental impactful ones. However, these eco-friendly alternatives have technical drawbacks that limit their suitability for key applications such as food packaging where advanced technologies and structures are tailored to the specific needs of each food item, while keeping costs down (Apicella et al. 2018a , b; Leneveu-Jenvrin et al. 2021 ; Zier et al. 2025 ). Bioplastics have inferior mechanical resistance, limited thermal stability and processing difficulties (Juikar and Warkar 2023 ; Garofalo et al. 2023 ; Terzopoulou and Bikiaris 2024 ) whereas paper is affected by high porosity of the fibre network and hydrophilicity, which result in high gas permeability and liquid absorption (Sehaqui et al. 2011 ; Tambe et al. 2016 ; Li et al. 2024 ). However, these limitations can be overcome through effective eco-design of multilayer paper/plastic structures, exploiting the complementary strengths of both materials (Schmidt et al. 2022 ; Nitkiewicz et al. 2023 ; Seier et al. 2024 ; de Lima Santos et al. 2024 ). Biodegradable plastic can confer durability offer appropriate barrier to gases, oil aroma and water, while paper can enhance overall sustainability with its recyclability and renewability, promoting high consumer acceptance (Kathuria and Zhang 2022 ; Oh et al. 2024 ). Coating is a widespread industrial technique, which can apply thin layers of biopolymer onto paper, thereby enhancing its properties for the production of ready-to-market packages (Khwaldia et al. 2010 ; Jahangiri et al. 2024 ; Hu et al. 2025 ). Polysaccharides such as starch, chitin, chitosan, alginate, modified carbohydrates (Kopacic et al. 2018 ; Nechita and Roman (Iana-Roman) 2020 ; Ureña et al. 2023 ; Janik et al. 2024 ; Schnell et al. 2024 ) incorporating cellulose nanofibril (Nizardo et al. 2024 ; Sousa Arantes et al. 2024 ) or silver nanoparticles (Xia et al. 2024 ) confer properties such as high mechanical strength and antibacterial activity, as well as improving the gas and aroma barriers of the base paper. Proteins-based coatings sourced from casein (Kim and Hwang 2023 ), soy (Arfa et al. 2007 ; Ben Arfa et al. 2007 ; Liu et al. 2024 ), or whey (Han and Krochta 2001 ; Coltelli et al. 2016 ) have been used to improve grease resistance of paper products providing optimal barrier and in some cases antimicrobial properties. Lipid-based coatings from vegetable oils (Loesch-Zhang et al. 2024 ; Arshad et al. 2024 ) and waxes (Yadav et al. 2024 ; Dhakane-Lad et al. 2024 ; Zhao et al. 2025 ) conferred effective water protection by creating a hydrophobic barrier to prevent moisture penetration. Additionally, biodegradable polyesters such as polylactic acid (PLA) (N et al. 2020; Eslami and Mekonnen 2023 ; Jacob et al. 2024 ; Calosi et al. 2024 ), poly (butylene adipate co-terephthalate) (PBAT) (Shankar and Rhim 2018 ; Eslami and Mekonnen 2023 ; Aayanifard et al. 2024 ; Moreira et al. 2024 ), poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) (Eslami and Mekonnen 2023 ; Pieters and Mekonnen 2024 ), polycaprolactone (PCL) (Lo Faro et al. 2023 ) and polyvinyl alcohol (PVOH) (Schmid et al. 2014 ; Saroha et al. 2022 ; Eslami and Mekonnen 2023 ) are commonly used as paper barrier materials (Christophliemk et al. 2023 ; Kwon et al. 2024 ; Pignères et al. 2024 ). In particular, PVOH has excellent film-forming ability and processability, outstanding barrier properties against gases and oils, and strong mechanical strength, making it an ideal choice for enhancing the performance of cellulosic packaging (Adibi et al. 2023 ; Barbato Antonio et al. 2023 ; Barbato et al. 2023a ; Deng et al. 2024 ; Elgharbawy et al. 2024 ). However, similar to untreated paper, PVOH present low water resistance due to the hydrophilic and water-soluble nature of the polymer (Brough et al. 2015 ; Halima 2016 ). To address the issue, PVOH coatings have been combined with hydrophobic compounds such as Alkyl ketene dimer (AKD) (Shen et al. 2019 ; Nguyen and Lee 2022 ; Ma et al. 2023 ) or lipids like palm kernel oil (Zeng et al. 2020 ), loaded with nanoparticles/active agents (Nguyen and Lee 2023 ; Nizardo et al. 2024 ) or alternatively, subjected to crosslinking (Suhag et al. 2022 ; Kim et al. 2023 ; Liu et al. 2023 ). Furthermore, modifications to the PVOH chemical structure, by inserting ethylenic hydrophobic moieties in the chains (Apicella et al. 2022 ; Wang et al. 2023 ; Barbato et al. 2023a ) are an innovative approach, which simplifies coatings formulations and potentially decrease the environmental footprint of the production process. Various alternative coating methods for packaging, including flexography, rotogravure, blade (Tarnowiecka-Kuca et al. 2023 ), and multilayer curtain coating (Don Ventresca), have been extensively studied in recent years (Wu et al. 2021 ). However, the manufacturing scale-up of the coatings is often not considered. Flexography and gravure are well-established, high speed, roll to roll coating techniques (Bohan et al. 2000 ; Kipphan 2001 b; Cohen and Lightfoot 2011 ; Deshwal et al. 2019 ; Morgan et al. 2019 ; Deganello), which could provide a route to depositing oxygen barrier coating onto flexible packaging materials at the speeds required by the packaging industry. Flexography is capable of the high-speed deposition of thin films onto flexible substrates at ambient temperatures with fluids of a range of viscosities (Kipphan 2001 b; Morgan et al. 2018 , 2019 ). It employs a photopolymer plate; ink is metered to the plate via an anilox roll—a cylinder finely engraved with many small cells. The size and frequency of these cells control the volume of ink transferred to the printing plate for transfer to the substrate (Morgan et al. 2018 ). Flexography typically uses low viscosity, typically 50–500 mPa s (Kipphan 2001 a), to deposit thicknesses of up to 1 µm for water and solvent based inks. In Gravure coating, a roller is engraved with a patterned surface, with the cell shape, size and patterning dictating the volume of ink picked up for the coating. The cells engraved fill with the coating, either from a bath or enclosed coating chamber. The roller directly engages the substrate transferring the coating from the filled cells onto the substrate at speeds of up to 900 m/s and at a thickness ranging from 1–50 µm (Kapur et al. 2011 ). Viscosity affects the coating transfer (Deng et al. 2014 ). Therefore, for a coating to be suitable for gravure roll coating, the viscosity is typically 50–200 mPa s (Kipphan 2001 a). In order to begin production scale up, designing the formulations to suit existing infrastructure would enable the application of the novel ‘green’ coatings onto kraft paper without the initial outlay of new equipment and machinery. In this context, the present research aims to understand the relationship between polymer concentration, processability and performance of an ethylene modified polyvinyl alcohol (m-PVOH) barrier coatings on a Kraft paper substrate. m-PVOH was selected due to its excellent barrier properties and its enhanced water resistance provided by the ethylene segments inserted in the polymer backbone, as reported in previous studies (Apicella et al. 2022 ; Barbato et al. 2023b ). The material retains its water solubility, which represents an important advantage in post-consumer stages, allowing easy coating removal during the pulping process and facilitating paper recyclability. The effect of polymer concentration on the rheological properties of m-PVOH suspensions was studied to assess the suitability of m-PVOH suspensions for use in high-speed roll to roll processes such as flexography and gravure. The rheological properties of the m-PVOH suspensions were studied over 15 days to access the influence of polymer concentration on the stability of the coatings which would affect their practical use in industry. The three most suitable m-PVOH suspensions were identified by the rheological testing (10, 15 and 20 wt%) and were coated onto KP. The relationship between coatings viscosity and impregnation degree into the porous KP were investigated, to understand the film forming abilities of the different coatings. Water absorption, air resistance, oxygen and water barrier properties and mechanical tensile properties of the coated paper were measured to assess their for use in food packaging. Water and diiodomethane contact angles, along with the surface energies of the coated paper, were measured to assess wetting of the coating surface. Materials and methods Materials KP with a nominal grammage of 100 g/m² supplied by Netuno Sp. z o.o. (Wojska, Poland). Exceval AQ-4104, provided by Kuraray Europe GmbH (Hattersheim am Main Germany), is a modified form of polyvinyl alcohol with ethylenic insertions. It is completely hydrolyzed (98.0–99.0 mol%), contains no chlorine, and is water-soluble. Additionally, it has received approval from the FDA for use in direct contact with food. Solvents used were analytical-grade and purchased from Merck (Darmstadt, Germany). Hereafter, the polymer will be designated as m-PVOH. Preparation of m-PVOH solutions m-PVOH coating solutions were produced by dissolving the polymer in deionized water at different mass ratio (5:95; 10:90; 15:85; 20:80; 30:70). The mixtures were heated to 95°C and vigorously stirred until the polymer completely dissolved. Isopropanol was introduced into the coating mixtures as an anti-foaming agent, constituting 10% of the m-PVOH weight. Coating solutions rheology The rheology of the coatings were characterized by measuring the shear viscosity using a stress-controlled rheometer (Kinexus Pro Rheometer, Netzsch). A 50mm diameter stainless steel 1° cone and a parallel plate were used to measure the shear viscosity of the samples, with a solvent trap to reduce solvent loss to the environment. Before loading the sample onto the plate, the coatings were hand mixed at low shear to ensure a representative sample was taken. The coatings were first ramped from 1 to 200 s − 1 to ensure a consistent pre-shear across all samples. The shear viscosity was measured on a down ramp from 200 to 1 s − 1 and equilibrium viscosity measurements were taken across a 30s time period at 10, 25, 50, 75, 100, 150, and 200 s − 1 . The equilibrium shear viscosity data displayed is the average of 10 measurements taken at 3s intervals over 30s at each shear rate. The down ramp vs equilibrium data confirmed there were no thixotropic effects over the time periods and shear ranges used throughout the tests. The temperature was kept constant at 25 ± 0.1°C. The testing procedure was verified using a silicone calibration fluid of 0.0095Pa s at 25°C. At 10s − 1 the rheometer measured a value of 0.00954 Pa s showing the accuracy of the measurement. Using three calibration fluids (0.4, 933, and 31340 mPa) the torque limit on the rheometer was determined and any results measured with a torque less than 10 − 5 N m were removed. Production of the coated papers Following rheological analysis, three m-PVOH coating suspensions were identified with rheological properties suitable for manufacturing scale up: 10 wt%, 15 wt% and 20 wt%. The paper-coating procedure involved applying the coating solution onto a paper sheet (297mm×420) mm) in a double-step using a K Hand Coater (RK Printcoat Instruments Ltd., Royston, UK), featuring a stainless-steel rod wound in a closed configuration, with a wire diameter of 0.64 mm. The bar coating technique simulates the use of a gravure roll coater application at factory level. The paper was coated and subjected to drying in oven by convection at 120°C for 3 minutes. The samples composition, total and coating layers thicknesses are summarized in Table 1 . Table 1 List of sample codes, m-PVOH concentration (% wt/wt) in the coating solution, total thickness (µm) and coating layer thickness (µm) Sample code m-PVOH concentration in coating [%wt/wt] Total thickness [ \(\:\varvec{\mu\:}\) m] Coating layer thickness [ \(\:\varvec{\mu\:}\) m] KP - 151.3 ± 2.8 - KP/10% m-PVOH 10 158.3 ± 3.6 7.0 ± 4.6 KP/15% m-PVOH 15 159.6 ± 1.7 8.3 ± 3.3 KP/20% m-PVOH 20 162.0 ± 2.2 10.7 ± 3.6 Coated and uncoated paper characterization The samples were subject to conditioning at a temperature of 23 ± 6.1°C and a relative humidity of 50.0 ± 2.0% for a minimum duration of 24 hours prior to conducting any measurements, as outlined in ASTM D 685 − 93 standard. The average thickness (µm) of self-supported films and coated papers was determined according to ASTM D 645M using a hand-held digital micrometre calliper, with 10 measurements taken randomly across the surface. The grammage was determined using an analytical weighing balance (GALAXY 160D, Ohaus Corporation, Morris, NJ, USA) following the standard protocol outlined in ASTM D646. Initially, a paper sample measuring 10 × 10 cm² was weighted before undergoing the coating process. Following the coating treatment, the weight of the sample was measured again and the grammage (expressed in g/m²) was calculated using Eq. ( 1 ): $$\:Grammage=\frac{Weight\:of\:specimen\:\left[g\right]}{Area\:\left[{m}^{2}\right]}$$ 1 The coating load was defined as the difference in grammage before and after coating. To assess the portion of the coating material that penetrated inside the paper, the percentage of impregnation of the coating material (Impregnation Degree, ID) was determined following a method described by Gastaldi et al. (Gastaldi et al. 2007 ). This calculation was performed using the formula: $$\:ID=\frac{({\rho\:}_{c}-{\rho\:}_{f})}{{\rho\:}_{f}}\times\:100$$ 2 where \(\:{\rho\:}_{f}\) the density of the self-supported film and \(\:{\rho\:}_{c}\) the apparent density of coated paper. \(\:{\rho\:}_{c}\:\) and \(\:{\rho\:}_{f}\) (g dry matter/cm 3 ) were evaluated as the inverse of the slope of the fitted linear curve by plotting paper thickness increase as a function of deposited coating weight and from the inverse of the slope of the linear curve of the increase of self-supported film thickness as a function of deposited coating weight, respectively. Optical microscopy observations were conducted using a Zeiss Axioskop microscope (Carl Zeiss Vision, Germany). To highlight the different depths of impregnation of the coating solutions, they were coloured with the addition of a few drops of Blue Patent V, a water-soluble dye intended for food contact and known as E131, before being deposited according to the previously described procedure. Samples were then sliced into thin sections (100 µm) using an ultramicrotome (RMC, model MT-XL) and cross-sectional views were photographed at a 20x magnification. The water absorption capacity was assessed following the UNI EN ISO 535:2014 standard. Paperboard samples measuring 13 x 13 cm² were secured in Cobb equipment (Enrico Toniolo srl, Milano, Italy). A volume of 100 cm 3 of water was applied to the samples within the equipment ring. After 45 seconds, the water was removed, the samples were placed onto two sheets of absorbent paper and at 60th second promptly pressed with a cylindrical roller to eliminate excess water. Subsequently, the samples were weighed using an analytical balance (GALAXY 160D, Ohaus Corporation, Morris, NJ, USA). Cobb 60 was calculated using Eq. (3): \(\:{Cobb}_{60}\:=\:({W}_{f}-{W}_{i})\times\:100\) (3) Where \(\:{W}_{i}\:\) is the weight of the specimen before the test (expressed in grams), \(\:{W}_{f}\:\) is the weight of the specimen after the test (expressed in grams). A minimum of 5 tests were performed for each sample. Air resistance was assessed following the UNI EN ISO 5636-5:2014 standard procedure. A sample was precisely cut, secured in the porosimeter, and subjected to air pressure. Using a Gurley-type apparatus (Enrico Toniolo srl, Milano, Italy), the time taken for 100 cm3 of air to pass through the paper surface was recorded. The results are presented in seconds per 100 cm 3 (s/100 cm 3 ). Each experiment was conducted with a minimum of 10 replicates. Water vapor permeability tests were executed utilizing a Water Vapor Permeation Analyzer (Model 7002—Systech Illinois, Princeton, NJ, USA. Measurements were performed according to the ASTM F 1249-90 standard, except for the sensor technology employed. Testing conditions were maintained at 23°C and 50% relative humidity (RH). The films subjected to testing had an area of 5 cm² and results were registered in term of water vapor transmission rate (WVTR), expressed in g/ (m 2 day). Oxygen permeability was evaluated using an oxygen permeation cell (Presens Precision Sensing, Regensburg, Germany) equipped with an oxygen sensor spot SP-PSt3-NAU (detection limit 15 ppb, 0–100% oxygen). During the measurement process, the upper chamber was purged with inert nitrogen, while the lower chamber was flushed with a known oxygen concentration. Oxygen permeation was continuously monitored until reaching a steady-state condition using fiber optic oxygen meters, namely the Minisensor Oxygen Fibox 3-Trace V3 and Stand-alone Oxygen Meter Fibox 4 (PreSens GmbH, Regensburg, Germany). Subsequently, the oxygen transmission rate (OTR) was calculated. Mechanical tensile tests were conducted in accordance with ASTM-D828 using the CMT 4000 Series tensile tester (SANS, China), which was equipped with a 1 kN load cell. Specimens were prepared in a rectangular shape with dimensions of 25.4 x 2.54 cm². Tensile strength and elongation at break were measured in both the machine direction (MD) and the cross direction (CD). The grip separation was maintained at 180 mm at the beginning of each test, while the crosshead speed was set to 25.4 mm/min. Surface-free energies (SFEs) for both substrate and coating surfaces were estimated using the Owens–Wendt geometric mean equation (OW), which considers the total surface energy as the sum of dispersive ( \(\:{{\gamma\:}_{s}}^{d}\) ) and polar ( \(\:{{\gamma\:}_{s}}^{p}\) ) components. To determine \(\:{{\gamma\:}_{s}}^{d}\) and \(\:{{\gamma\:}_{s}}^{p}\) for solid coated surfaces, static contact angle measurements of a polar and non-polar testing liquids (water and diiodomethane) were performed using a First Ten Angstrom Analyzer System 32.0 model FTA 1000 (First Ten Angstroms, Inc., Portsmouth, VA, USA), following the ASTM D 724 − 99 standard test method. The drop volume was chosen within a range where the contact angle remained constant despite volume variations (2 ± 0.5 µL). Each reported contact angle value ( \(\:\theta\:\) ) represents the average of at least ten replicate measurements. These measurements were coupled with solving a system of two equations in two unknown variables ( \(\:{{\gamma\:}_{s}}^{d}\) and \(\:{{\gamma\:}_{s}}^{p}\) ): $$\:(1+\text{cos}{\theta\:}_{i}){\gamma\:}_{li}=2(\sqrt{{{\gamma\:}_{li}}^{d}{{\gamma\:}_{s}}^{d}}+\:\sqrt{{{\gamma\:}_{li}}^{p}{{\gamma\:}_{s}}^{p}}$$ 4 Where i is liquid index, \(\:\theta\:\) is the contact angle value, 𝛾𝑙𝑖 is the liquid SE, \(\:{{\gamma\:}_{s}}^{d}\:\) is the liquid disperse component of SE, \(\:{{\gamma\:}_{s}}^{p}\) is the liquid polar component of SE. The SE components (expressed in mN/m) for water are: \(\:{\gamma\:}_{{l}_{W}}\) =72.1, \(\:{{\gamma\:}_{{l}_{W}}}^{d}\) =19.9, \(\:{{\gamma\:}_{{l}_{W}}}^{p}\) =52.2, and for diiodomethane are: \(\:{\gamma\:}_{{l}_{DIIM}}\) =50.8, \(\:{{\gamma\:}_{{l}_{DIIM}}}^{d}\) =49.5, \(\:{{\gamma\:}_{DIIM}}^{p}\) =1.3. The determination of surface polarity percentage \(\:{P}_{s}\) was calculated according to the equation: $$\:{P}_{s}=\frac{{\gamma\:}_{s}^{p}}{{{\gamma\:}_{s}}^{p}+{{\gamma\:}_{s}}^{d}\:}\times\:100$$ 5 Results and Discussion Coating solution rheology and aging The effect of m-PVOH concentration on the viscosity changes with shear forces and will affect the suitability of the suspension to be used in high-speed roll to roll processes. The effect of m-PVOH concentration on the equilibrium viscosity of the m-PVOH-Water suspensions at 50s − 1 on the day they were manufactured can be seen in Fig. 1 . Increasing the concentration of m-PVOH increased the viscosity of the suspensions, with viscosities of 0.009, 0.030, 0.128, 0.607 and 10.87 Pa s for the 5, 10, 15, 20 and 30 wt% m-PVOH suspensions. The relatively smaller increases in viscosity with concentration between 5 and 15 wt% are likely due to increased flow diversion around the increased concentration of m-PVOH chains. There is a large increase in the viscosity of the suspensions between 20 and 30wt% from 0.61 to 10. 87Pa.s at 50s − 1 . This suggests there is a critical concentration where polymer-polymer interactions become increasingly important as an increase in interaction between m-PVOH chains with decreased interchain distances provides additional resistance to flow as the polymer chains trap water and prevent it from deforming at the same rate as the rest of the water (Barnes 2000 ). The shear rate viscosity profile of the 10, 15 and 20wt% m-PVOH suspensions on the day of coating, day two after manufacture, can be seen in Fig. 2 . The viscosity of the 10, 15 and 20 wt% m-PVOH suspensions at 50s − 1 was 0.034, 0.173 and 1.511Pa s, respectively. There were increases in viscosity at 50s − 1 between day one and two of 0.004, 0.045 and 0.904Pa s for the 10, 15 and 20wt% respectively. At m-PVOH concentrations of 10 and 15wt% the suspensions are largely Newtonian, however, at 20wt% m-PVOH shows shear thinning behaviour, this is likely due to the increased interaction between m-PVOH at the highest wt%, with these interactions breaking down at higher shear rates, allowing the m-PVOH fibres to align with the flow and reducing their viscosity. This structure of m-PVOH suspension builds up and breaks down with shear. This has also been shown in PVA/water solutions which creates a hydrogel structure whereas the polymer concentration increases, the space between polymer chains decreases and the greater the hydrogen bonding through water molecules increasing the viscosity (Song and Kim 2004 ). The increases in the viscosity of the m-PVOH water suspensions between day one and two (Figs. 1 and 2 ) could affect both the processability and final coating quality. Understanding how the viscosity changes in time would have a large effect on the scalability of these coatings to large scale manufacture and use, as it would affect the lifetime and manufacture of the coating. To examine this, the shear viscosity at 50s − 1 of the samples was compared over a 15-day period for the different m-PVOH concentrations (Fig. 3 ), with any changes to the microstructure of the fluids likely to cause changes in the viscosity. The shear profiles of the different concentration coatings change over 15 days (Fig. 3 ). All three coating compositions show Newtonian behaviour on day one. The coating gradually becomes more shear thinning as the coating ages for all 3 coating compositions, with the shear thinning behaviour becoming more predominant as the polymer content increases. This change in fluid behaviour over a short period (within 24 hours) could affect coating application. At 10 s − 1 , the shear viscosity of 20wt% m-PVOH suspension increases from 0.62 Pas on day 1 to 9.17 Pas on day 5. Depending on when the coating was applied, the viscosity could change by almost a factor of 10. This could present challenges to control and maintain consistency in industry. The increasing polymer %weight increases the likelihood that polymer chains will be electrostatically attracted to one another. Aging allows more time for bonds to form and interlink, increasing the viscosity and shear thinning behaviour. These relatively weak interactions get broken down at higher shear rates allowing the m-PVOH to align with the flow and to reduce in viscosity. However, even at the highest shear rates of 200s − 1 the viscosity is still greater than on day one and two, suggesting there has been a permanent change in the microstructure of the fluid in time that cannot be reversed by using shear alone. To further study the effect of aging on the microstructure of the fluid all five concentrations of m-PVOH were reformulated and poured into a transparent vial for visual comparison between the coatings. Each coating weight was compared from day 1 to 8 as solutions began to gel. Figure 4 shows the difference in transparency between the five coatings on day 8 (after manufacture). The 20 and 30wt% coating suspensions are both opaque and had ‘gelled’ by day 8. It was not possible to measure the rheological characteristics of these coatings once the consistency of the suspensions was in this ‘gelled’ state. This visual comparison highlights the phenomenon where as the coating ages, more bonds are forming between the polymer chains, reducing transparency. A second test where the transparent vials were filled to maximum capacity provided evidence that no evaporation took place from day 1 to day 10. The 5, 10, and 15 wt% are all within the process window for flexo and gravure coating, being within the viscosity range of 0.05 Pa s to 0.5 Pa s (Kipphan 2001 a). However, at 50 s − 1 the 20 and 30 wt% were outside the processing window at 0.607 Pa s and 10.87Pa s, respectively. The 30 wt% was not processable after day 1 and therefore could not be bar coated. At 5wt% m-PVOH suspension had a viscosity of 0.009Pa s, creating challenges in bar coating a consistent film layer therefore this was excluded from further analysis. At 0.030 Pa s the 10wt% m-PVOH is just below the processing window, with the 15wt% at 0.128Pa s within the window and the 20 wt% at 0.607Pa s just above the theoretical processing window. Increasing the concentration further to 30wt% brought an increase in viscosity to 10.865 Pa s at 50s − 1 which was considered too viscous. The 10, 15 and 20wt% m-PVOH suspensions were near the processing window and were used for the coating studies. Grammage, coating load and thickness Solutions at 10%, 15% and 20% m-PVOH were hand coated onto the Kraft paper. The grammages of uncoated KP and coated paper samples including their coating loads are shown in Fig. 5; the total and coating layer thicknesses are listed in Table 1 . Initially uncoated KP had a grammage of 104.3 ± 0.8 g/m². Increasing the m-PVOH concentrations in the coating solutions, caused more polymer to be deposited on the paper surface, which was from 8.9 g/m² to 17.1 g/m² with the 10% m-PVOH and 20% m-PVOH respectively, with a corresponding rise in total grammage. Increasing m-PVOH concentration, the grammage was raised from 113.2 ± 1.5 g/m² with KP/10% m-PVOH to 121.3 ± 2 for KP/20% m-PVOH. It also increased the thickness of the coated KP. The thickness increased from 151.3 ± 2.8 µm for a bare, uncoated sample of KP to 158.3 ± 3.6 µm when coated in 10%wt solutions of m-PVOH; a maximum value of 162.0 ± 2.2 µm was obtained for the KP/20% m-PVOH sample, with an appreciably high coating layer thickness of 10.7 ± 3.6 µm (Table 1 ). Impregnation degree and optical microscopy The coating solutions impregnate the paper, permeating fibrous structure to a depth dependent on their flow properties. This phenomenon has been documented, particularly for bio-coating based on polysaccharides and proteins (Matsui et al. 2004 ; Gällstedt et al. 2005 ; Rhim et al. 2006 ). The amount of coating material that impregnates the paper bulk affects its overall functional performance as well as mechanical, thermal resistance, permeability and water absorption (Marinelli et al. 2022 ). Therefore, the quantification of the degree of impregnation is fundamental and evaluated using the formula in section 2.5. To determine of \(\:{\rho\:}_{c}\) and \(\:{\rho\:}_{f}\) , the evolution of coated paper thickness as a function of coating weight was registered for the different concentrations of coating solutions and compared to self-supported films prepared by coating under the same conditions onto a smooth, inert glass substrate. The thickness-coating weight data are shown for the solutions at 10%wt m-PVOH, 15%wt m-PVOH and 20%wt m-PVOH, (Fig. 6 a ,b,c). The thickness of the self-supported films and of the coated papers increase linearly with coating weight for all samples, with correlation coefficients (R 2 ) higher than 0.949. The increase in thickness of the self-supported films is more rapid than the coated papers for all concentrations of m-PVOH. There is a more substantial accumulation of material per unit coating weight for self-supported films compared to coated papers, due to the penetration of the coating agent into the fibrous structure of the paper, regardless of the solution concentration. The apparent density of coated paper ( \(\:{\rho\:}_{c}\) ), density of self-supported films ( \(\:{\rho\:}_{f}\) ) was evaluated as the inverse of the slope of the linear curves and the Impregnation Degree (ID) calculated from these densities for the coated paper samples (Table 2 ). Table 2 Coating solutions apparent density of coated paper ( \(\:{\rho\:}_{c}\) ), density of self-supported films ( \(\:{\rho\:}_{f}\) ) and percentage of impregnation of coating agent measured. Sample \(\:{\varvec{\rho\:}}_{\mathbf{c}}\:\times\:\:{10}^{-6}\) [g/m 3 ] \(\:{\varvec{\rho\:}}_{\mathbf{f}}\:\times\:\:{10}^{-6}\) [g/m 3 ] Impregnation degree, ID [%] KP/10% m-PVOH 1.99 ± 0.08 1.17 ± 0.10 41.6 ± 1.8 KP/15% m-PVOH 1.99 ± 0.05 1.37 ± 0.21 31.1 ± 2.1 KP/20% m-PVOH 2.13 ± 0.17 1.65 ± 0.14 23.0 ± 3.0 The apparent density \(\:{\rho\:}_{c}\) ​ remains constant for the 10% and 15% m-PVOH solutions (1.99 ± 0.08 g/m³), with a slight increase to 2.13 ± 0.17 g/m³ for the 20% solution. However, \(\:{\rho\:}_{f}\) increases with the concentration of m-PVOH up to a maximum of 1.65 ± 0.14 for the KP/20% m-PVOH sample, suggesting the formation of a more compact structure characterized by significant hydrogen, electrostatic and hydrophobic intermolecular interactions formed during drying due to the closer proximity of polymer chains (Gastaldi et al. 2007 ; Guillaume et al. 2010 ). ID decreases with increasing m-PVOH concentration, from 41.6 ± 1.8% for Kraft paper/10% m-PVOH to 31.3 ± 2.1% and 23.0 ± 3.0% for Kraft paper/15% m-PVOH and Kraft paper/20% m-PVOH samples, respectively. This can be attributed to the increased viscosity with higher m-PVOH concentrations, as the extent of impregnation and pore-filling is primarily dependent on the viscosity and flow behaviour of the coating solutions. The ID trends to a linear correlation over the range of concentrations analysed with a relationship ID=-1.86 [m-PVOH] + 59.8 (Fig. 7 ). Figure 8 Cross-section magnifications (20x) of the(a) KP/10% m-PVOH, (b) KP/15% m-PVOH and (c) KP/20% m-PVOH with highlighted coating penetration depth in blue, thanks to Blue Patent colouring. The bluish coloured areas identifies where the solution has managed to penetrate the paper fibrous structure. The 10% coating solution is effectively able to penetrates slightly less than half of the total paper thickness due to its lower viscosity, as confirmed by higher ID value while as coating agent concentration increase, the penetration thickness decreases, and the impregnation fronts move towards the edge of the coated paper samples. Water absorption and air resistance In the cellulose industry, water absorption and air resistance properties (Cobb and Gurley methods, respectively) are routine analysis for evaluating material overall performance. These tests ensure compliance with stringent standards, crucial for both paper machinability and integrity against humidity in diverse industrial applications. Table 3 Cobb60 and air resistance values of uncoated KP, KP/10% m-PVOH, KP/15% m-PVOH and KP/20% m-PVOH samples. Sample Cobb 60 [g/m 2 ] Air resistance [s/100 cm 3 ] KP 45.2 ± 2.9 78.7± 3.2 KP/10% m-PVOH 23.7 ± 1.5 4081.6±169.1 KP/15% m-PVOH 20.5 ± 1.3 4156.8±119.5 KP/20% m-PVOH 19.4 ± 1.8 4592.0±194.3 Table 3 shows Cobb test results after 60 s of the uncoated Kraft paper and of the coated samples. Kraft paper has a Cobb 60 equal to 45.2 g/m 2 and the addition of the coatings determined a gradual decrease of the value as the concentration of m-PVOH present within the coating solution increases. In particular, Kraft paper/10% m-PVOH, Kraft paper/15% m-PVOH and Kraft paper/20% m-PVOH samples showed a Cobb60 value equal to 23.7 g/m 2 , 20.5 g/m 2 and 19.4 g/m 2 , corresponding respectively to reduction of 47.5%, 54.5% and 57% compared to the uncoated Kraft paper. The decrease in the Cobb 60 along the m-PVOH percentage can be ascribed to the greater coat load onto the paper; several studies have demonstrated that a higher coat weight reduces the penetration of liquid water because it is responsible for a more densely packed coating (Du et al. 2017 ; Lin et al. 2017 ; Hamdani et al. 2020 ) and this is strictly related to the impregnation degree and coverage capacity of coating solution on the paper fibres. Air resistance values, the time required for a 100 cm 3 of air to pass through the samples, were determined for the untreated paper and coated samples (Table 3 ). The low resistance to the air passage of the uncoated paper (78.7 s/100 cm 3 ), is due to its porous structure. Increasing the proportion of m-PVOH in the coating produced a progressive increase in air resistance two orders of magnitude higher than the untreated Kraft paper. The highest for the 20% m-PVOH sample was 4582 s/100 cm 3 . m-PVOH is effectively able to cover surface of the KP, reducing both the number and size of pores leading to a slowdown of the air permeability compared to uncoated paper. A progressive increase in air resistance with increasing m-PVOH concentration can be attributed to the increase in the coat weight, in agreement with other studies (Aulin et al. 2010 ; Lavoine et al. 2014 ). Water vapour and oxygen barrier properties Water vapour permeability and oxygen barrier properties are critical parameters for evaluating packaging materials for the food packaging sector. Water vapour permeability affects taste, consistency, microbial spoilage while oxygen barrier properties are essential for preventing harmful decay in packed foods, as many degradative reactions depend on oxygen; assessing both properties can ensure the capability of a packaging material to effectively preserve food freshness and quality. Coated and uncoated paper samples were characterized in terms of oxygen and water vapour transport properties with the WVTR and OTR measured at 23°C and 50% RH (Fig. 9 ). The WVTR of the neat Kraft paper exceeded the detection limit of the instrument (1000 g/ (m 2 day)). The deposition of m-PVOH lowered the WVTR to levels that allowed measurement; at 50% RH, WVTR for Kraft paper coated with 10%, 15%, and 20% m-PVOH were 4.3, 4.2, and 4.0 g/ (m 2 day), respectively. Shen et al. (Shen et al. 2019 ), utilizing PVOH and ADK-based coatings deposited in multiple layers (ranging from 1 to 4) on paper and Pignères et al. (Pignères et al. 2024 ) by double deposition of PVOH coatings and a fatty acid chloride grafting, reported similar values of WVTR, ranging between 2.5 g/ (m 2 day) and 10.5 g/ (m 2 day). No significant impact on the WVTR was observed with an increase in m-PVOH concentration within the coating solution. Therefore, these findings categorize the coated samples as medium water vapor barrier materials (400–1000 g µm/ (m 2 day)) (Wang et al. 2018 ) suitable for packaged snacks, cereals, baked goods, and dehydrated foods (Han 2014 ; Pasquier et al. 2022 ) The OTR could not be determined for uncoated Kraft paper due to its inherent poor barrier properties, attributed to the porous nature of the paper substrate (Schmid et al. 2014 ; Adibi et al. 2023 ). However, the application of m-PVOH coating enabled OTR measurements for the coated structures (Hamdani et al. 2022 , 2023 ). OTR values of 573.0, 588.3, and 588.4 cm 3 / (m 2 day bar) were for Kraft paper samples coated with 10%, 15%, and 20% m-PVOH, respectively. These values closely align with OTR values for paper coated with PVOH, averaging around 560.0 cm 3 / (m 2 day bar) at 23°C and 50% RH (Hamdani et al. 2022 ) underscoring the crucial role of PVOH in improving oxygen barrier properties due to its inherent gas barrier characteristics. The OTR values are within the range or lower than those associated with biopolymers explored for diverse applications in the food packaging sector such as cellulose acetate (Rodríguez et al. 2012 ) and PCL(Cheng et al. 2019 ; Nanni et al. 2019 ) As observed for both oxygen and water vapour permeation tests, increases in polymer concentration and coat weight have only a minor impact on the barrier properties of the coated papers. Guillame et al. (Guillaume et al. 2010 ) reported that paper samples coated with wheat gluten at lower coat weights already exhibited good WVTR values compared with those produced using higher coating amounts. Similarly, Naitzel et al. (Naitzel et al. 2023 ) spread agar-agar/chitosan-based coatings on paper and found GTR remained largely unaffected by layer composition. Factors such as increased crystallinity and the coating process, such as surface grafting, can have a greater effect on barrier performance of PVOH-based coatings than coating thickness and weight (Schmid et al. 2014 ; Shen et al. 2019 ). In general, barrier properties improve up to a certain coating thickness, beyond which the material reaches its maximum efficiency in preventing permeation. Therefore, the main underlying cause might not be the material amount but the structural qualities and uniformity of the deposited surface. In the case of PVOH, coat penetration and the production of a cohesive continuous film are facilitated by its flow behaviour and solid film-forming capability (Idris et al. 2021 ; Saroha et al. 2022 ). Mechanical tensile properties Mechanical strength and extensibility are essential for a cellulose-based food package to ensure the structural integrity and maintain the safety of the enclosed products. Moreover, good mechanical properties are required in printing or other web-fed converting processes(Bajpai 2018 ). To assess the impact of the coating solution deposition on the mechanical properties of the base paper, tensile tests in both MD and CD for untreated Kraft paper and the coated samples were used to determine the tensile strength and elongation at break (Fig. 10a,b). The Kraft paper exhibits tensile strength of 11.4 kN/m, particularly in the machine direction, which corresponds to the preferred alignment direction of the fibres. This is higher than those reported previously for Kraft papers with comparable grammage, typically falling within the range of 3 to 5 kN/m (Du et al. 2017 ; Shen et al. 2019 ). In the cross direction, the tensile strength of the paper is lower than in the machine direction and equal to 3.8 kN/m. The application of the coatings of m-PVOH did not have a consistent effect on the tensile strength, on the mechanical strength of the substrate paper in both the machine and cross directions. The values remained within 10.7–10.9 kN/m in the machine direction and 3.7–4.1 kN/m in the cross-direction. No notable differences were observed in the elongation at break along the machine direction between the uncoated paper and the coated samples. The elongation at break falls within the range of 2.2% to 2.5%. The application of the polymeric coating solution resulted in a slight improvement in the elongation at break along the cross direction, increasing from 5.1% for the uncoated Kraft paper to 6.5%, 6.2%, and 6.4% for the Kraft paper coated with 10%, 15%, and 20% m-PVOH, respectively. Wettability and surface energies of uncoated and coated paper The surface energy and wettability of packaging materials is vital to ensure optimal adhesion, printing quality, and barrier properties. Wettability of the KP and coated papers were evaluated by measuring their static contact angles against water and diiodomethane (WCA and DCA); the surface free energy (SFE), the relative polar and dispersive components as well as surface polarity were calculated according to the Owens-Wendt geometric mean method (Table 4 ). The KP shows a high WCA of 77.9 ± 2.4° revealing the good water resistance of the Kraft, making it particularly suitable for applications such as packaging. WCA value for the uncoated paper were similar or higher than the results in the literature for different types of Kraft paper with similar grammage (Shen et al. 2019 ; N et al. 2020; Hamdani et al. 2020 ; Kim and Hwang 2023 ). It is mainly attributable to the superficial roughness of the paper (Hamdani et al. 2022 ). The m-PVOH coatings at different concentration on paper are responsible for a WCA decrease to around ~ 46° as consequence of m-PVOH hydrophilicity (Halima 2016 ). However, the m-PVOH wettability against water is lower than other standard grades of PVOH in previous studies(Schmid et al. 2014 ; Apicella et al. 2022 ) due to the modification of the chains with ethylenic insertions, which enhance polymer’s ability to resist liquid water. DCA remain unaltered among KP and coated samples around ~ 36° suggesting the same degree of interaction of the apolar liquid with all surfaces of the tested materials. The uncoated paper exhibits a surface energy of 41.5 mN/m and low polarity (12%); the deposition of the m-PVOH polymer at different concentration results in a significant increase in the polar component from 4.8 mN/m to approximately 23 mN/m, resulting in a higher surface energy (approximately 57 mN/m) and increased polarity (41%) of the coated surfaces compared with to the uncoated paper. This marked increase in surface polarity, combined with the reduced WCA, further indicates improved printability and stronger adhesion potential, making the coated papers more suitable for multilayer or laminated packaging applications (Kumar and Srivastava 1991 ; Repeta 2013 ; Wang et al. 2022 ). Table 4 Contact angles against water and di-iodomethane, surface energies components and polarity of pristine KP and coated samples. Sample analysed surface Static contact angle [°] Surface energy [mN/m] Polarity, P s [%] Water Di-iodomethane Polar , \(\:{{\varvec{\gamma\:}}_{\mathbf{s}}}^{\mathbf{p}}\) Disperse , \(\:{{\varvec{\gamma\:}}_{\mathbf{s}}}^{\mathbf{d}}\) Total , \(\:{\varvec{\gamma\:}}_{\mathbf{s}}\) KP 77.9 ± 2.4 34.8 ± 1.1 4.8 36.7 41.5 12 KP/10% m-PVOH 46.3 ± 3.1 34.3 ± 1.1 23.6 33.7 57.3 41 KP/15% m-PVOH 46.3 ± 2.7 34.9 ± 1.1 23.7 33.5 57.2 41 KP/20% m-PVOH 46.7 ± 3.0 34.1 ± 1.0 23.3 33.7 57.0 41 Conclusions This study examined the relationships between formulation composition, rheological behaviour, and functional performance of ethylene-modified poly(vinyl alcohol) coatings applied to Kraft paper for food packaging. The viscosity of m-PVOH solutions increased with polymer concentration, showing a critical range between 20 and 30 wt% where polymer–polymer interactions and irreversible structural rearrangements became dominant. This behaviour defined an optimal processability window between 10 and 20 wt%, suitable for high-speed coating methods such as gravure and flexography. Among tested formulations 10, 15, 20 wt% m-PVOH exhibited good film-forming ability and controlled impregnation into the paper structure. Increasing polymer concentration—and thus viscosity—reduced impregnation from 41% to 23%, forming compact, continuous layers that substantially improved functional properties. Air resistance increased by two orders of magnitude, while water absorption Cobb 60 value decreased by over 50% at 20 wt%. Gas and vapour barrier properties remained stable across all concentrations, with OTR around 580 cm³/ (m² day bar) and WVTR near 4 g/ (m² day), suitable for dry food packaging such as snacks, cereals, baked goods, and dehydrated products. With the application of the coatings, the mechanical strength was maintained (≈ 11 kN/m in the MD and 4 kN/m in the CD), while the elongation at break in the CD rose to approximately 6.5%. The increase in surface polarity up to 41% and reduced water contact angle (≈ 46°) further indicate improved printability and adhesion for multilayer systems. Overall, coating systems containing 10–15 wt% m-PVOH achieved the best balance between performance, rheological stability, and coating uniformity. Their moderate ageing behaviour could guarantee processable viscosity for longer periods, reducing material use, waste and downtime. The results provide a coherent scientific understanding of the formulation and processing behaviour of water-based PVOH coatings. Moreover, they offer valuable support for assessing the prospective industrial scalability of these systems in sustainable paper-packaging applications. List of notations and abbreviations Declarations Conflict of interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Consent for publication All authors have seen and approved the manuscript. Funding The authors declare that no funds, grants, or other support were received during the preparation of this manuscript. Author Contribution A.B.: Investigation, Conceptualization, Methodology, Formal Analysis, Data curation, Visualization, Writing original draft. F.M.: Investigation, Conceptualization, Formal Analysis, Data curation, Visualization, Writing original draft. A.C: Investigation, Data Curation, Writing—Review & Editing. L.I.: Formal analysis, Validation, Resources, Supervision, Writing—Review & Editing. T.C.: Validation, Resources, Supervision, Writing—Review & Editing. 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06:08:59","extension":"png","order_by":65,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":32865,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/f146b685601ffe04af5073f0.png"},{"id":97947595,"identity":"3a4642c0-cb5b-4425-95a9-91633659a8bf","added_by":"auto","created_at":"2025-12-11 06:09:00","extension":"png","order_by":66,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":328454,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/c0e3fae0c9c65929af79886a.png"},{"id":97947606,"identity":"f97447fd-34ff-413c-980c-d391de5f65a6","added_by":"auto","created_at":"2025-12-11 06:09:01","extension":"png","order_by":67,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":30651,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage9.png","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/0a77950d9657e86796ccdcef.png"},{"id":97947596,"identity":"d1187b5d-f7a7-437d-95cf-ded6d43d75a0","added_by":"auto","created_at":"2025-12-11 06:09:01","extension":"xml","order_by":68,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":248698,"visible":true,"origin":"","legend":"","description":"","filename":"dd3d5a5193c24d9889a186521204f6101structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/84c59c0da9216008deac8589.xml"},{"id":98422104,"identity":"70cb83e1-f7f5-44a4-9e4a-d11a6af7fff3","added_by":"auto","created_at":"2025-12-17 16:30:26","extension":"html","order_by":69,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":265670,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/dcf8f70857c90cea67d86189.html"},{"id":97947572,"identity":"3100845f-30b9-4942-92cb-4718c446c50f","added_by":"auto","created_at":"2025-12-11 06:08:59","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":12756,"visible":true,"origin":"","legend":"\u003cp\u003eThe effect of m-PVOH on the shear viscosity of the suspensions at 50 s\u003csup\u003e-1\u003c/sup\u003e on day 1.\u003c/p\u003e","description":"","filename":"Figure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/a79ea6166f9b11b1929e1576.jpg"},{"id":98421793,"identity":"667f79dd-04f8-499d-b48d-d4a175a9cf3d","added_by":"auto","created_at":"2025-12-17 16:29:28","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":15546,"visible":true,"origin":"","legend":"\u003cp\u003eThe effect of m-PVOH wt% on the equilibrium shear viscosity of m-PVOH-water suspensions at shear rates between 10 and 200s-1 taken on day 2 after suspension manufacture.\u003c/p\u003e","description":"","filename":"Figure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/538e58e33a7e787eb20d29bf.jpg"},{"id":97947562,"identity":"f9d94bc2-e570-4c2e-b2db-401097362335","added_by":"auto","created_at":"2025-12-11 06:08:59","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":25428,"visible":true,"origin":"","legend":"\u003cp\u003eThe effect of m-PVOH wt% on the equilibrium shear viscosity of m-PVOH-water suspensions\u003c/p\u003e","description":"","filename":"Figure3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/715d2aa6bb7ca5d4b933d3e1.jpg"},{"id":97947544,"identity":"3676e276-85f7-4bfc-b945-0328e0ced5f7","added_by":"auto","created_at":"2025-12-11 06:08:57","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":24283,"visible":true,"origin":"","legend":"\u003cp\u003ePhotograph showing the changes to the m-PVOH water suspensions at each concentration (5, 10, 15, 20, and 30 wt%) taken on day 8 after manufacture. The 20 and 30wt% are opaque, whereas the 5, 10, and 15wt% remain transparent.\u003c/p\u003e","description":"","filename":"Figure4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/a071298baf0cfbcb1da47b59.jpg"},{"id":98422257,"identity":"493fc34f-1a48-4336-b80b-1dca64ed4ea2","added_by":"auto","created_at":"2025-12-17 16:30:43","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":29416,"visible":true,"origin":"","legend":"\u003cp\u003eGrammages and coating weight of uncoated KP, KP/10% m-PVOH, KP/15% m-PVOH and KP/20% m-PVOH samples.\u003c/p\u003e","description":"","filename":"Figure5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/0e8705ea45d87f6fc5f2feb9.jpg"},{"id":97947549,"identity":"e8dc818e-b163-4b43-aa79-cbc81fe8a0fa","added_by":"auto","created_at":"2025-12-11 06:08:58","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":80070,"visible":true,"origin":"","legend":"\u003cp\u003eIncrease in material thickness (μm) as a function of the coating weight (g dry matter/m\u003csup\u003e2\u003c/sup\u003e) for the self-supported film and the coated paper with (a) 10% wt. m-PVOH, (b) 15% wt. m-PVOH, (c) 20% wt. m-PVOH.\u003c/p\u003e","description":"","filename":"Figure6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/fb082d4387b8cda1e4149263.jpg"},{"id":97947564,"identity":"365b51bc-2037-4b65-b855-a1e21f7df4cb","added_by":"auto","created_at":"2025-12-11 06:08:59","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":22345,"visible":true,"origin":"","legend":"\u003cp\u003eID and PVOH concentration relationship; ID plotted as a function of m-PVOH concentration represented by a linear trend.\u003c/p\u003e","description":"","filename":"Figure7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/fe987fa425810ea3c92d4c17.jpg"},{"id":98423328,"identity":"d879e0ed-7c6e-4252-a683-93d55385365a","added_by":"auto","created_at":"2025-12-17 16:32:06","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":50138,"visible":true,"origin":"","legend":"\u003cp\u003eCross-section magnifications (20x) of the(a) KP/10% m-PVOH, (b) KP/15% m-PVOH and (c) KP/20% m-PVOH with highlighted coating penetration depth in blue, thanks to Blue Patent colouring.\u003c/p\u003e","description":"","filename":"Figure8abc.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/ec12372ed961b7488e55f5e8.jpg"},{"id":97947604,"identity":"221761eb-edf9-4c72-a9e8-7f03e4867444","added_by":"auto","created_at":"2025-12-11 06:09:01","extension":"jpg","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":26036,"visible":true,"origin":"","legend":"\u003cp\u003eWVTR and OTR values uncoated KP, KP/10% m-PVOH, KP/15% m-PVOH and KP/20% m-PVOH samples.\u003c/p\u003e","description":"","filename":"Figure9.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/68f9855b1a08b63f2e687c9c.jpg"},{"id":97947550,"identity":"e58095e4-2e95-4ceb-a2b7-941e5efc6dae","added_by":"auto","created_at":"2025-12-11 06:08:58","extension":"jpg","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":83207,"visible":true,"origin":"","legend":"\u003cp\u003e(a) Tensile strength and (b) elongation at break for uncoated KP, KP/10% m-PVOH, KP/15% m-PVOH and KP/20% m-PVOH samples, along the MD and the CD.\u003c/p\u003e","description":"","filename":"Figure10.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/87931395170e825ddaed18a1.jpg"},{"id":101297321,"identity":"95a0c9dd-cf3e-418e-80fd-f8ec0664b887","added_by":"auto","created_at":"2026-01-28 09:26:37","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1578508,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8144087/v1/c3489ae4-cf03-4c38-8483-acd8870feef7.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Balancing Processability and functional Performance of Ethylene-Modified PVOH Coatings on Kraft paper","fulltext":[{"header":"Introduction","content":"\u003cp\u003eSignificant efforts have been made over the last two decades to apply a holistic approach throughout the supply chain (P\u0026aring;lsson and Hellstr\u0026ouml;m \u003cspan citationid=\"CR83\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Silva and P\u0026aring;lsson \u003cspan citationid=\"CR98\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; D\u0026ouml;rnyei et al. \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) to align packaging's functional requirements with the economic, social, and environmental goals of sustainable development (Versino et al. \u003cspan citationid=\"CR107\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Research has focused on materials derived from renewable natural sources such as bioplastics (Thakur et al. \u003cspan citationid=\"CR105\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) and cellulose (Carolin C et al. 2023) as substitutes for the environmental impactful ones. However, these eco-friendly alternatives have technical drawbacks that limit their suitability for key applications such as food packaging where advanced technologies and structures are tailored to the specific needs of each food item, while keeping costs down (Apicella et al. \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2018a\u003c/span\u003e, b; Leneveu-Jenvrin et al. \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Zier et al. \u003cspan citationid=\"CR116\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Bioplastics have inferior mechanical resistance, limited thermal stability and processing difficulties (Juikar and Warkar \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Garofalo et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Terzopoulou and Bikiaris \u003cspan citationid=\"CR104\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) whereas paper is affected by high porosity of the fibre network and hydrophilicity, which result in high gas permeability and liquid absorption (Sehaqui et al. \u003cspan citationid=\"CR94\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Tambe et al. \u003cspan citationid=\"CR102\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Li et al. \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, these limitations can be overcome through effective eco-design of multilayer paper/plastic structures, exploiting the complementary strengths of both materials (Schmidt et al. \u003cspan citationid=\"CR92\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Nitkiewicz et al. \u003cspan citationid=\"CR80\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Seier et al. \u003cspan citationid=\"CR95\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; de Lima Santos et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Biodegradable plastic can confer durability offer appropriate barrier to gases, oil aroma and water, while paper can enhance overall sustainability with its recyclability and renewability, promoting high consumer acceptance (Kathuria and Zhang \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Oh et al. \u003cspan citationid=\"CR82\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eCoating is a widespread industrial technique, which can apply thin layers of biopolymer onto paper, thereby enhancing its properties for the production of ready-to-market packages (Khwaldia et al. \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Jahangiri et al. \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Hu et al. \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Polysaccharides such as starch, chitin, chitosan, alginate, modified carbohydrates (Kopacic et al. \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Nechita and Roman (Iana-Roman) \u003cspan citationid=\"CR77\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Ure\u0026ntilde;a et al. \u003cspan citationid=\"CR106\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Janik et al. \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Schnell et al. \u003cspan citationid=\"CR93\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) incorporating cellulose nanofibril (Nizardo et al. \u003cspan citationid=\"CR81\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Sousa Arantes et al. \u003cspan citationid=\"CR100\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) or silver nanoparticles (Xia et al. \u003cspan citationid=\"CR112\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) confer properties such as high mechanical strength and antibacterial activity, as well as improving the gas and aroma barriers of the base paper. Proteins-based coatings sourced from casein (Kim and Hwang \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2023\u003c/span\u003e), soy (Arfa et al. \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Ben Arfa et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Liu et al. \u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), or whey (Han and Krochta \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2001\u003c/span\u003e; Coltelli et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) have been used to improve grease resistance of paper products providing optimal barrier and in some cases antimicrobial properties. Lipid-based coatings from vegetable oils (Loesch-Zhang et al. \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Arshad et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) and waxes (Yadav et al. \u003cspan citationid=\"CR113\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Dhakane-Lad et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Zhao et al. \u003cspan citationid=\"CR115\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) conferred effective water protection by creating a hydrophobic barrier to prevent moisture penetration. Additionally, biodegradable polyesters such as polylactic acid (PLA) (N et al. 2020; Eslami and Mekonnen \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Jacob et al. \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Calosi et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), poly (butylene adipate co-terephthalate) (PBAT) (Shankar and Rhim \u003cspan citationid=\"CR96\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Eslami and Mekonnen \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Aayanifard et al. \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Moreira et al. \u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) (Eslami and Mekonnen \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Pieters and Mekonnen \u003cspan citationid=\"CR85\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), polycaprolactone (PCL) (Lo Faro et al. \u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) and polyvinyl alcohol (PVOH) (Schmid et al. \u003cspan citationid=\"CR91\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Saroha et al. \u003cspan citationid=\"CR90\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Eslami and Mekonnen \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) are commonly used as paper barrier materials (Christophliemk et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Kwon et al. \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Pign\u0026egrave;res et al. \u003cspan citationid=\"CR86\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn particular, PVOH has excellent film-forming ability and processability, outstanding barrier properties against gases and oils, and strong mechanical strength, making it an ideal choice for enhancing the performance of cellulosic packaging (Adibi et al. \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Barbato Antonio et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Barbato et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2023a\u003c/span\u003e; Deng et al. \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Elgharbawy et al. \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, similar to untreated paper, PVOH present low water resistance due to the hydrophilic and water-soluble nature of the polymer (Brough et al. \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Halima \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). To address the issue, PVOH coatings have been combined with hydrophobic compounds such as Alkyl ketene dimer (AKD) (Shen et al. \u003cspan citationid=\"CR97\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Nguyen and Lee \u003cspan citationid=\"CR78\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Ma et al. \u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) or lipids like palm kernel oil (Zeng et al. \u003cspan citationid=\"CR114\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), loaded with nanoparticles/active agents (Nguyen and Lee \u003cspan citationid=\"CR79\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Nizardo et al. \u003cspan citationid=\"CR81\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) or alternatively, subjected to crosslinking (Suhag et al. \u003cspan citationid=\"CR101\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Kim et al. \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Liu et al. \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Furthermore, modifications to the PVOH chemical structure, by inserting ethylenic hydrophobic moieties in the chains (Apicella et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Wang et al. \u003cspan citationid=\"CR108\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Barbato et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2023a\u003c/span\u003e) are an innovative approach, which simplifies coatings formulations and potentially decrease the environmental footprint of the production process.\u003c/p\u003e\u003cp\u003eVarious alternative coating methods for packaging, including flexography, rotogravure, blade (Tarnowiecka-Kuca et al. \u003cspan citationid=\"CR103\" class=\"CitationRef\"\u003e2023\u003c/span\u003e), and multilayer curtain coating (Don Ventresca), have been extensively studied in recent years (Wu et al. \u003cspan citationid=\"CR111\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). However, the manufacturing scale-up of the coatings is often not considered. Flexography and gravure are well-established, high speed, roll to roll coating techniques (Bohan et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2000\u003c/span\u003e; Kipphan \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2001\u003c/span\u003eb; Cohen and Lightfoot \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Deshwal et al. \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Morgan et al. \u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Deganello), which could provide a route to depositing oxygen barrier coating onto flexible packaging materials at the speeds required by the packaging industry.\u003c/p\u003e\u003cp\u003eFlexography is capable of the high-speed deposition of thin films onto flexible substrates at ambient temperatures with fluids of a range of viscosities (Kipphan \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2001\u003c/span\u003eb; Morgan et al. \u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e2018\u003c/span\u003e, \u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). It employs a photopolymer plate; ink is metered to the plate via an anilox roll\u0026mdash;a cylinder finely engraved with many small cells. The size and frequency of these cells control the volume of ink transferred to the printing plate for transfer to the substrate (Morgan et al. \u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Flexography typically uses low viscosity, typically 50\u0026ndash;500 mPa s (Kipphan \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2001\u003c/span\u003ea), to deposit thicknesses of up to 1 \u0026micro;m for water and solvent based inks.\u003c/p\u003e\u003cp\u003eIn Gravure coating, a roller is engraved with a patterned surface, with the cell shape, size and patterning dictating the volume of ink picked up for the coating. The cells engraved fill with the coating, either from a bath or enclosed coating chamber. The roller directly engages the substrate transferring the coating from the filled cells onto the substrate at speeds of up to 900 m/s and at a thickness ranging from 1\u0026ndash;50 \u0026micro;m (Kapur et al. \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). Viscosity affects the coating transfer (Deng et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Therefore, for a coating to be suitable for gravure roll coating, the viscosity is typically 50\u0026ndash;200 mPa s (Kipphan \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2001\u003c/span\u003ea).\u003c/p\u003e\u003cp\u003eIn order to begin production scale up, designing the formulations to suit existing infrastructure would enable the application of the novel \u0026lsquo;green\u0026rsquo; coatings onto kraft paper without the initial outlay of new equipment and machinery.\u003c/p\u003e\u003cp\u003eIn this context, the present research aims to understand the relationship between polymer concentration, processability and performance of an ethylene modified polyvinyl alcohol (m-PVOH) barrier coatings on a Kraft paper substrate. m-PVOH was selected due to its excellent barrier properties and its enhanced water resistance provided by the ethylene segments inserted in the polymer backbone, as reported in previous studies (Apicella et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Barbato et al. \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2023b\u003c/span\u003e). The material retains its water solubility, which represents an important advantage in post-consumer stages, allowing easy coating removal during the pulping process and facilitating paper recyclability. The effect of polymer concentration on the rheological properties of m-PVOH suspensions was studied to assess the suitability of m-PVOH suspensions for use in high-speed roll to roll processes such as flexography and gravure. The rheological properties of the m-PVOH suspensions were studied over 15 days to access the influence of polymer concentration on the stability of the coatings which would affect their practical use in industry. The three most suitable m-PVOH suspensions were identified by the rheological testing (10, 15 and 20 wt%) and were coated onto KP. The relationship between coatings viscosity and impregnation degree into the porous KP were investigated, to understand the film forming abilities of the different coatings. Water absorption, air resistance, oxygen and water barrier properties and mechanical tensile properties of the coated paper were measured to assess their for use in food packaging. Water and diiodomethane contact angles, along with the surface energies of the coated paper, were measured to assess wetting of the coating surface.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eMaterials\u003c/h2\u003e\u003cp\u003eKP with a nominal grammage of 100 g/m\u0026sup2; supplied by Netuno Sp. z o.o. (Wojska, Poland). Exceval AQ-4104, provided by Kuraray Europe GmbH (Hattersheim am Main Germany), is a modified form of polyvinyl alcohol with ethylenic insertions. It is completely hydrolyzed (98.0\u0026ndash;99.0 mol%), contains no chlorine, and is water-soluble. Additionally, it has received approval from the FDA for use in direct contact with food. Solvents used were analytical-grade and purchased from Merck (Darmstadt, Germany). Hereafter, the polymer will be designated as m-PVOH.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003ePreparation of m-PVOH solutions\u003c/h3\u003e\n\u003cp\u003em-PVOH coating solutions were produced by dissolving the polymer in deionized water at different mass ratio (5:95; 10:90; 15:85; 20:80; 30:70). The mixtures were heated to 95\u0026deg;C and vigorously stirred until the polymer completely dissolved. Isopropanol was introduced into the coating mixtures as an anti-foaming agent, constituting 10% of the m-PVOH weight.\u003c/p\u003e\n\u003ch3\u003eCoating solutions rheology\u003c/h3\u003e\n\u003cp\u003eThe rheology of the coatings were characterized by measuring the shear viscosity using a stress-controlled rheometer (Kinexus Pro Rheometer, Netzsch). A 50mm diameter stainless steel 1\u0026deg; cone and a parallel plate were used to measure the shear viscosity of the samples, with a solvent trap to reduce solvent loss to the environment. Before loading the sample onto the plate, the coatings were hand mixed at low shear to ensure a representative sample was taken. The coatings were first ramped from 1 to 200 s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e to ensure a consistent pre-shear across all samples. The shear viscosity was measured on a down ramp from 200 to 1 s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and equilibrium viscosity measurements were taken across a 30s time period at 10, 25, 50, 75, 100, 150, and 200 s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. The equilibrium shear viscosity data displayed is the average of 10 measurements taken at 3s intervals over 30s at each shear rate. The down ramp vs equilibrium data confirmed there were no thixotropic effects over the time periods and shear ranges used throughout the tests. The temperature was kept constant at 25\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u0026deg;C. The testing procedure was verified using a silicone calibration fluid of 0.0095Pa s at 25\u0026deg;C. At 10s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e the rheometer measured a value of 0.00954 Pa s showing the accuracy of the measurement. Using three calibration fluids (0.4, 933, and 31340 mPa) the torque limit on the rheometer was determined and any results measured with a torque less than 10\u003csup\u003e\u0026minus;\u0026thinsp;5\u003c/sup\u003e N m were removed.\u003c/p\u003e\n\u003ch3\u003eProduction of the coated papers\u003c/h3\u003e\n\u003cp\u003eFollowing rheological analysis, three m-PVOH coating suspensions were identified with rheological properties suitable for manufacturing scale up: 10 wt%, 15 wt% and 20 wt%.\u003c/p\u003e\u003cp\u003eThe paper-coating procedure involved applying the coating solution onto a paper sheet (297mm\u0026times;420) mm) in a double-step using a K Hand Coater (RK Printcoat Instruments Ltd., Royston, UK), featuring a stainless-steel rod wound in a closed configuration, with a wire diameter of 0.64 mm. The bar coating technique simulates the use of a gravure roll coater application at factory level. The paper was coated and subjected to drying in oven by convection at 120\u0026deg;C for 3 minutes. The samples composition, total and coating layers thicknesses are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eList of sample codes, m-PVOH concentration (% wt/wt) in the coating solution, total thickness (\u0026micro;m) and coating layer thickness (\u0026micro;m)\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"4\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSample code\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003em-PVOH concentration in coating [%wt/wt]\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eTotal thickness [\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{\\mu\\:}\\)\u003c/span\u003e\u003c/span\u003em]\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCoating layer thickness [\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\varvec{\\mu\\:}\\)\u003c/span\u003e\u003c/span\u003em]\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e151.3 \u0026plusmn; 2.8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/10% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e158.3 \u0026plusmn; 3.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e7.0 \u0026plusmn; 4.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/15% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e159.6 \u0026plusmn; 1.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8.3 \u0026plusmn; 3.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/20% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e162.0 \u0026plusmn; 2.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e10.7 \u0026plusmn; 3.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\n\u003ch3\u003eCoated and uncoated paper characterization\u003c/h3\u003e\n\u003cp\u003eThe samples were subject to conditioning at a temperature of 23\u0026thinsp;\u0026plusmn;\u0026thinsp;6.1\u0026deg;C and a relative humidity of 50.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.0% for a minimum duration of 24 hours prior to conducting any measurements, as outlined in ASTM D 685\u0026thinsp;\u0026minus;\u0026thinsp;93 standard.\u003c/p\u003e\u003cp\u003eThe average thickness (\u0026micro;m) of self-supported films and coated papers was determined according to ASTM D 645M using a hand-held digital micrometre calliper, with 10 measurements taken randomly across the surface.\u003c/p\u003e\u003cp\u003eThe grammage was determined using an analytical weighing balance (GALAXY 160D, Ohaus Corporation, Morris, NJ, USA) following the standard protocol outlined in ASTM D646. Initially, a paper sample measuring 10 \u0026times; 10 cm\u0026sup2; was weighted before undergoing the coating process. Following the coating treatment, the weight of the sample was measured again and the grammage (expressed in g/m\u0026sup2;) was calculated using Eq.\u0026nbsp;(\u003cspan refid=\"Equ1\" class=\"InternalRef\"\u003e1\u003c/span\u003e):\u003cdiv id=\"Equ1\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ1\" name=\"EquationSource\"\u003e\n$$\\:Grammage=\\frac{Weight\\:of\\:specimen\\:\\left[g\\right]}{Area\\:\\left[{m}^{2}\\right]}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e1\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThe coating load was defined as the difference in grammage before and after coating.\u003c/p\u003e\u003cp\u003eTo assess the portion of the coating material that penetrated inside the paper, the percentage of impregnation of the coating material (Impregnation Degree, ID) was determined following a method described by Gastaldi et al. (Gastaldi et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). This calculation was performed using the formula:\u003cdiv id=\"Equ2\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ2\" name=\"EquationSource\"\u003e\n$$\\:ID=\\frac{({\\rho\\:}_{c}-{\\rho\\:}_{f})}{{\\rho\\:}_{f}}\\times\\:100$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e2\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003ewhere \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{f}\\)\u003c/span\u003e\u003c/span\u003e the density of the self-supported film and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{c}\\)\u003c/span\u003e\u003c/span\u003e the apparent density of coated paper.\u003c/p\u003e\u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{c}\\:\\)\u003c/span\u003e\u003c/span\u003eand \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{f}\\)\u003c/span\u003e\u003c/span\u003e (g dry matter/cm\u003csup\u003e3\u003c/sup\u003e) were evaluated as the inverse of the slope of the fitted linear curve by plotting paper thickness increase as a function of deposited coating weight and from the inverse of the slope of the linear curve of the increase of self-supported film thickness as a function of deposited coating weight, respectively.\u003c/p\u003e\u003cp\u003eOptical microscopy observations were conducted using a Zeiss Axioskop microscope (Carl Zeiss Vision, Germany). To highlight the different depths of impregnation of the coating solutions, they were coloured with the addition of a few drops of Blue Patent V, a water-soluble dye intended for food contact and known as E131, before being deposited according to the previously described procedure. Samples were then sliced into thin sections (100 \u0026micro;m) using an ultramicrotome (RMC, model MT-XL) and cross-sectional views were photographed at a 20x magnification.\u003c/p\u003e\u003cp\u003eThe water absorption capacity was assessed following the UNI EN ISO 535:2014 standard. Paperboard samples measuring 13 x 13 cm\u0026sup2; were secured in Cobb equipment (Enrico Toniolo srl, Milano, Italy). A volume of 100 cm\u003csup\u003e3\u003c/sup\u003e of water was applied to the samples within the equipment ring. After 45 seconds, the water was removed, the samples were placed onto two sheets of absorbent paper and at 60th second promptly pressed with a cylindrical roller to eliminate excess water. Subsequently, the samples were weighed using an analytical balance (GALAXY 160D, Ohaus Corporation, Morris, NJ, USA). Cobb\u003csub\u003e60\u003c/sub\u003e was calculated using Eq.\u0026nbsp;(3):\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabb\" border=\"1\"\u003e\u003ccolgroup cols=\"2\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{Cobb}_{60}\\:=\\:({W}_{f}-{W}_{i})\\times\\:100\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e(3)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eWhere \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{W}_{i}\\:\\)\u003c/span\u003e\u003c/span\u003eis the weight of the specimen before the test (expressed in grams), \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{W}_{f}\\:\\)\u003c/span\u003e\u003c/span\u003e is the weight of the specimen after the test (expressed in grams). A minimum of 5 tests were performed for each sample.\u003c/p\u003e\u003cp\u003eAir resistance was assessed following the UNI EN ISO 5636-5:2014 standard procedure. A sample was precisely cut, secured in the porosimeter, and subjected to air pressure. Using a Gurley-type apparatus (Enrico Toniolo srl, Milano, Italy), the time taken for 100 cm3 of air to pass through the paper surface was recorded. The results are presented in seconds per 100 cm\u003csup\u003e3\u003c/sup\u003e (s/100 cm\u003csup\u003e3\u003c/sup\u003e). Each experiment was conducted with a minimum of 10 replicates.\u003c/p\u003e\u003cp\u003eWater vapor permeability tests were executed utilizing a Water Vapor Permeation Analyzer (Model 7002\u0026mdash;Systech Illinois, Princeton, NJ, USA. Measurements were performed according to the ASTM F 1249-90 standard, except for the sensor technology employed. Testing conditions were maintained at 23\u0026deg;C and 50% relative humidity (RH). The films subjected to testing had an area of 5 cm\u0026sup2; and results were registered in term of water vapor transmission rate (WVTR), expressed in g/ (m\u003csup\u003e2\u003c/sup\u003e day).\u003c/p\u003e\u003cp\u003eOxygen permeability was evaluated using an oxygen permeation cell (Presens Precision Sensing, Regensburg, Germany) equipped with an oxygen sensor spot SP-PSt3-NAU (detection limit 15 ppb, 0\u0026ndash;100% oxygen). During the measurement process, the upper chamber was purged with inert nitrogen, while the lower chamber was flushed with a known oxygen concentration. Oxygen permeation was continuously monitored until reaching a steady-state condition using fiber optic oxygen meters, namely the Minisensor Oxygen Fibox 3-Trace V3 and Stand-alone Oxygen Meter Fibox 4 (PreSens GmbH, Regensburg, Germany). Subsequently, the oxygen transmission rate (OTR) was calculated.\u003c/p\u003e\u003cp\u003eMechanical tensile tests were conducted in accordance with ASTM-D828 using the CMT 4000 Series tensile tester (SANS, China), which was equipped with a 1 kN load cell. Specimens were prepared in a rectangular shape with dimensions of 25.4 x 2.54 cm\u0026sup2;. Tensile strength and elongation at break were measured in both the machine direction (MD) and the cross direction (CD). The grip separation was maintained at 180 mm at the beginning of each test, while the crosshead speed was set to 25.4 mm/min.\u003c/p\u003e\u003cp\u003eSurface-free energies (SFEs) for both substrate and coating surfaces were estimated using the Owens\u0026ndash;Wendt geometric mean equation (OW), which considers the total surface energy as the sum of dispersive (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{d}\\)\u003c/span\u003e\u003c/span\u003e) and polar (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{p}\\)\u003c/span\u003e\u003c/span\u003e) components. To determine \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{d}\\)\u003c/span\u003e\u003c/span\u003e and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{p}\\)\u003c/span\u003e\u003c/span\u003e for solid coated surfaces, static contact angle measurements of a polar and non-polar testing liquids (water and diiodomethane) were performed using a First Ten Angstrom Analyzer System 32.0 model FTA 1000 (First Ten Angstroms, Inc., Portsmouth, VA, USA), following the ASTM D 724\u0026thinsp;\u0026minus;\u0026thinsp;99 standard test method. The drop volume was chosen within a range where the contact angle remained constant despite volume variations (2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5 \u0026micro;L). Each reported contact angle value (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\theta\\:\\)\u003c/span\u003e\u003c/span\u003e) represents the average of at least ten replicate measurements. These measurements were coupled with solving a system of two equations in two unknown variables (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{d}\\)\u003c/span\u003e\u003c/span\u003e and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{p}\\)\u003c/span\u003e\u003c/span\u003e):\u003cdiv id=\"Equ3\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ3\" name=\"EquationSource\"\u003e\n$$\\:(1+\\text{cos}{\\theta\\:}_{i}){\\gamma\\:}_{li}=2(\\sqrt{{{\\gamma\\:}_{li}}^{d}{{\\gamma\\:}_{s}}^{d}}+\\:\\sqrt{{{\\gamma\\:}_{li}}^{p}{{\\gamma\\:}_{s}}^{p}}$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e4\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eWhere i is liquid index, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:\\theta\\:\\)\u003c/span\u003e\u003c/span\u003e is the contact angle value, \u0026#120574;\u0026#119897;\u0026#119894; is the liquid SE, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{d}\\:\\)\u003c/span\u003e\u003c/span\u003eis the liquid disperse component of SE, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{s}}^{p}\\)\u003c/span\u003e\u003c/span\u003e is the liquid polar component of SE.\u003c/p\u003e\u003cp\u003eThe SE components (expressed in mN/m) for water are: \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\gamma\\:}_{{l}_{W}}\\)\u003c/span\u003e\u003c/span\u003e=72.1, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{{l}_{W}}}^{d}\\)\u003c/span\u003e\u003c/span\u003e=19.9, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{{l}_{W}}}^{p}\\)\u003c/span\u003e\u003c/span\u003e =52.2, and for diiodomethane are: \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\gamma\\:}_{{l}_{DIIM}}\\)\u003c/span\u003e\u003c/span\u003e=50.8, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{{l}_{DIIM}}}^{d}\\)\u003c/span\u003e\u003c/span\u003e =49.5, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\gamma\\:}_{DIIM}}^{p}\\)\u003c/span\u003e\u003c/span\u003e=1.3.\u003c/p\u003e\u003cp\u003eThe determination of surface polarity percentage \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{P}_{s}\\)\u003c/span\u003e\u003c/span\u003e was calculated according to the equation:\u003cdiv id=\"Equ4\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equ4\" name=\"EquationSource\"\u003e\n$$\\:{P}_{s}=\\frac{{\\gamma\\:}_{s}^{p}}{{{\\gamma\\:}_{s}}^{p}+{{\\gamma\\:}_{s}}^{d}\\:}\\times\\:100$$\u003c/div\u003e\u003cdiv class=\"EquationNumber\"\u003e5\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e"},{"header":"Results and Discussion","content":"\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003eCoating solution rheology and aging\u003c/h2\u003e\u003cp\u003eThe effect of m-PVOH concentration on the viscosity changes with shear forces and will affect the suitability of the suspension to be used in high-speed roll to roll processes.\u003c/p\u003e\u003cp\u003eThe effect of m-PVOH concentration on the equilibrium viscosity of the m-PVOH-Water suspensions at 50s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e on the day they were manufactured can be seen in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Increasing the concentration of m-PVOH increased the viscosity of the suspensions, with viscosities of 0.009, 0.030, 0.128, 0.607 and 10.87 Pa s for the 5, 10, 15, 20 and 30 wt% m-PVOH suspensions. The relatively smaller increases in viscosity with concentration between 5 and 15 wt% are likely due to increased flow diversion around the increased concentration of m-PVOH chains. There is a large increase in the viscosity of the suspensions between 20 and 30wt% from 0.61 to 10. 87Pa.s at 50s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. This suggests there is a critical concentration where polymer-polymer interactions become increasingly important as an increase in interaction between m-PVOH chains with decreased interchain distances provides additional resistance to flow as the polymer chains trap water and prevent it from deforming at the same rate as the rest of the water (Barnes \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2000\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe shear rate viscosity profile of the 10, 15 and 20wt% m-PVOH suspensions on the day of coating, day two after manufacture, can be seen in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The viscosity of the 10, 15 and 20 wt% m-PVOH suspensions at 50s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e was 0.034, 0.173 and 1.511Pa s, respectively. There were increases in viscosity at 50s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e between day one and two of 0.004, 0.045 and 0.904Pa s for the 10, 15 and 20wt% respectively. At m-PVOH concentrations of 10 and 15wt% the suspensions are largely Newtonian, however, at 20wt% m-PVOH shows shear thinning behaviour, this is likely due to the increased interaction between m-PVOH at the highest wt%, with these interactions breaking down at higher shear rates, allowing the m-PVOH fibres to align with the flow and reducing their viscosity. This structure of m-PVOH suspension builds up and breaks down with shear. This has also been shown in PVA/water solutions which creates a hydrogel structure whereas the polymer concentration increases, the space between polymer chains decreases and the greater the hydrogen bonding through water molecules increasing the viscosity (Song and Kim \u003cspan citationid=\"CR99\" class=\"CitationRef\"\u003e2004\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe increases in the viscosity of the m-PVOH water suspensions between day one and two (Figs.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e and \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e) could affect both the processability and final coating quality. Understanding how the viscosity changes in time would have a large effect on the scalability of these coatings to large scale manufacture and use, as it would affect the lifetime and manufacture of the coating. To examine this, the shear viscosity at 50s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of the samples was compared over a 15-day period for the different m-PVOH concentrations (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e), with any changes to the microstructure of the fluids likely to cause changes in the viscosity.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe shear profiles of the different concentration coatings change over 15 days (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). All three coating compositions show Newtonian behaviour on day one. The coating gradually becomes more shear thinning as the coating ages for all 3 coating compositions, with the shear thinning behaviour becoming more predominant as the polymer content increases. This change in fluid behaviour over a short period (within 24 hours) could affect coating application. At 10 s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, the shear viscosity of 20wt% m-PVOH suspension increases from 0.62 Pas on day 1 to 9.17 Pas on day 5. Depending on when the coating was applied, the viscosity could change by almost a factor of 10. This could present challenges to control and maintain consistency in industry.\u003c/p\u003e\u003cp\u003eThe increasing polymer %weight increases the likelihood that polymer chains will be electrostatically attracted to one another. Aging allows more time for bonds to form and interlink, increasing the viscosity and shear thinning behaviour. These relatively weak interactions get broken down at higher shear rates allowing the m-PVOH to align with the flow and to reduce in viscosity. However, even at the highest shear rates of 200s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e the viscosity is still greater than on day one and two, suggesting there has been a permanent change in the microstructure of the fluid in time that cannot be reversed by using shear alone.\u003c/p\u003e\u003cp\u003eTo further study the effect of aging on the microstructure of the fluid all five concentrations of m-PVOH were reformulated and poured into a transparent vial for visual comparison between the coatings. Each coating weight was compared from day 1 to 8 as solutions began to gel. Figure\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e shows the difference in transparency between the five coatings on day 8 (after manufacture). The 20 and 30wt% coating suspensions are both opaque and had \u0026lsquo;gelled\u0026rsquo; by day 8. It was not possible to measure the rheological characteristics of these coatings once the consistency of the suspensions was in this \u0026lsquo;gelled\u0026rsquo; state.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThis visual comparison highlights the phenomenon where as the coating ages, more bonds are forming between the polymer chains, reducing transparency. A second test where the transparent vials were filled to maximum capacity provided evidence that no evaporation took place from day 1 to day 10.\u003c/p\u003e\u003cp\u003eThe 5, 10, and 15 wt% are all within the process window for flexo and gravure coating, being within the viscosity range of 0.05 Pa s to 0.5 Pa s (Kipphan \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2001\u003c/span\u003ea). However, at 50 s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e the 20 and 30 wt% were outside the processing window at 0.607 Pa s and 10.87Pa s, respectively. The 30 wt% was not processable after day 1 and therefore could not be bar coated. At 5wt% m-PVOH suspension had a viscosity of 0.009Pa s, creating challenges in bar coating a consistent film layer therefore this was excluded from further analysis. At 0.030 Pa s the 10wt% m-PVOH is just below the processing window, with the 15wt% at 0.128Pa s within the window and the 20 wt% at 0.607Pa s just above the theoretical processing window. Increasing the concentration further to 30wt% brought an increase in viscosity to 10.865 Pa s at 50s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e which was considered too viscous. The 10, 15 and 20wt% m-PVOH suspensions were near the processing window and were used for the coating studies.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eGrammage, coating load and thickness\u003c/h3\u003e\n\u003cp\u003eSolutions at 10%, 15% and 20% m-PVOH were hand coated onto the Kraft paper. The grammages of uncoated KP and coated paper samples including their coating loads are shown in Fig.\u0026nbsp;5; the total and coating layer thicknesses are listed in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Initially uncoated KP had a grammage of 104.3\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8 g/m\u0026sup2;. Increasing the m-PVOH concentrations in the coating solutions, caused more polymer to be deposited on the paper surface, which was from 8.9 g/m\u0026sup2; to 17.1 g/m\u0026sup2; with the 10% m-PVOH and 20% m-PVOH respectively, with a corresponding rise in total grammage. Increasing m-PVOH concentration, the grammage was raised from 113.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5 g/m\u0026sup2; with KP/10% m-PVOH to 121.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2 for KP/20% m-PVOH. It also increased the thickness of the coated KP. The thickness increased from 151.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8 \u0026micro;m for a bare, uncoated sample of KP to 158.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6 \u0026micro;m when coated in 10%wt solutions of m-PVOH; a maximum value of 162.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2 \u0026micro;m was obtained for the KP/20% m-PVOH sample, with an appreciably high coating layer thickness of 10.7 \u0026plusmn;\u0026thinsp;3.6 \u0026micro;m (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003eImpregnation degree and optical microscopy\u003c/h2\u003e\u003cp\u003eThe coating solutions impregnate the paper, permeating fibrous structure to a depth dependent on their flow properties. This phenomenon has been documented, particularly for bio-coating based on polysaccharides and proteins (Matsui et al. \u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e2004\u003c/span\u003e; G\u0026auml;llstedt et al. \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Rhim et al. \u003cspan citationid=\"CR88\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). The amount of coating material that impregnates the paper bulk affects its overall functional performance as well as mechanical, thermal resistance, permeability and water absorption (Marinelli et al. \u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Therefore, the quantification of the degree of impregnation is fundamental and evaluated using the formula in section 2.5.\u003c/p\u003e\u003cp\u003eTo determine of \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{c}\\)\u003c/span\u003e\u003c/span\u003e and \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{f}\\)\u003c/span\u003e\u003c/span\u003e, the evolution of coated paper thickness as a function of coating weight was registered for the different concentrations of coating solutions and compared to self-supported films prepared by coating under the same conditions onto a smooth, inert glass substrate. The thickness-coating weight data are shown for the solutions at 10%wt m-PVOH, 15%wt m-PVOH and 20%wt m-PVOH, (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e6\u003c/span\u003ea ,b,c). The thickness of the self-supported films and of the coated papers increase linearly with coating weight for all samples, with correlation coefficients (R\u003csup\u003e2\u003c/sup\u003e) higher than 0.949. The increase in thickness of the self-supported films is more rapid than the coated papers for all concentrations of m-PVOH. There is a more substantial accumulation of material per unit coating weight for self-supported films compared to coated papers, due to the penetration of the coating agent into the fibrous structure of the paper, regardless of the solution concentration.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe apparent density of coated paper (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{c}\\)\u003c/span\u003e\u003c/span\u003e), density of self-supported films (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{f}\\)\u003c/span\u003e\u003c/span\u003e) was evaluated as the inverse of the slope of the linear curves and the Impregnation Degree (ID) calculated from these densities for the coated paper samples (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eCoating solutions apparent density of coated paper (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{c}\\)\u003c/span\u003e\u003c/span\u003e), density of self-supported films (\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{f}\\)\u003c/span\u003e\u003c/span\u003e) and percentage of impregnation of coating agent measured.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"4\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSample\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\varvec{\\rho\\:}}_{\\mathbf{c}}\\:\\times\\:\\:{10}^{-6}\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cp\u003e[g/m\u003csup\u003e3\u003c/sup\u003e]\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\varvec{\\rho\\:}}_{\\mathbf{f}}\\:\\times\\:\\:{10}^{-6}\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003cp\u003e[g/m\u003csup\u003e3\u003c/sup\u003e]\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eImpregnation degree,\u003c/p\u003e\u003cp\u003eID [%]\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eKP/10% m-PVOH\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e1.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e1.17\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e41.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eKP/15% m-PVOH\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e1.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e1.37\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e31.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eKP/20% m-PVOH\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e2.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e1.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e\u003cp\u003e23.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThe apparent density \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{c}\\)\u003c/span\u003e\u003c/span\u003e​ remains constant for the 10% and 15% m-PVOH solutions (1.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08 g/m\u0026sup3;), with a slight increase to 2.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.17 g/m\u0026sup3; for the 20% solution. However, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\rho\\:}_{f}\\)\u003c/span\u003e\u003c/span\u003e increases with the concentration of m-PVOH up to a maximum of 1.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.14 for the KP/20% m-PVOH sample, suggesting the formation of a more compact structure characterized by significant hydrogen, electrostatic and hydrophobic intermolecular interactions formed during drying due to the closer proximity of polymer chains (Gastaldi et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2007\u003c/span\u003e; Guillaume et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). ID decreases with increasing m-PVOH concentration, from 41.6\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8% for Kraft paper/10% m-PVOH to 31.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.1% and 23.0\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0% for Kraft paper/15% m-PVOH and Kraft paper/20% m-PVOH samples, respectively. This can be attributed to the increased viscosity with higher m-PVOH concentrations, as the extent of impregnation and pore-filling is primarily dependent on the viscosity and flow behaviour of the coating solutions. The ID trends to a linear correlation over the range of concentrations analysed with a relationship ID=-1.86 [m-PVOH]\u0026thinsp;+\u0026thinsp;59.8 (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e7\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eFigure\u0026nbsp;8 Cross-section magnifications (20x) of the(a) KP/10% m-PVOH, (b) KP/15% m-PVOH and (c) KP/20% m-PVOH with highlighted coating penetration depth in blue, thanks to Blue Patent colouring.\u003c/p\u003e\u003cp\u003eThe bluish coloured areas identifies where the solution has managed to penetrate the paper fibrous structure. The 10% coating solution is effectively able to penetrates slightly less than half of the total paper thickness due to its lower viscosity, as confirmed by higher ID value while as coating agent concentration increase, the penetration thickness decreases, and the impregnation fronts move towards the edge of the coated paper samples.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003eWater absorption and air resistance\u003c/h2\u003e\u003cp\u003eIn the cellulose industry, water absorption and air resistance properties (Cobb and Gurley methods, respectively) are routine analysis for evaluating material overall performance. These tests ensure compliance with stringent standards, crucial for both paper machinability and integrity against humidity in diverse industrial applications.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eCobb60 and air resistance values of uncoated KP, KP/10% m-PVOH, KP/15% m-PVOH and KP/20% m-PVOH samples.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSample\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCobb\u003csub\u003e60\u003c/sub\u003e\u003c/p\u003e\u003cp\u003e[g/m\u003csup\u003e2\u003c/sup\u003e]\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eAir resistance [s/100 cm\u003csup\u003e3\u003c/sup\u003e]\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e45.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e78.7\u0026plusmn; 3.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/10% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e23.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e4081.6\u0026plusmn;169.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/15% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e20.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e4156.8\u0026plusmn;119.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/20% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e19.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e4592.0\u0026plusmn;194.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e shows Cobb test results after 60 s of the uncoated Kraft paper and of the coated samples. Kraft paper has a Cobb\u003csub\u003e60\u003c/sub\u003e equal to 45.2 g/m\u003csup\u003e2\u003c/sup\u003e and the addition of the coatings determined a gradual decrease of the value as the concentration of m-PVOH present within the coating solution increases. In particular, Kraft paper/10% m-PVOH, Kraft paper/15% m-PVOH and Kraft paper/20% m-PVOH samples showed a Cobb60 value equal to 23.7 g/m\u003csup\u003e2\u003c/sup\u003e, 20.5 g/m\u003csup\u003e2\u003c/sup\u003e and 19.4 g/m\u003csup\u003e2\u003c/sup\u003e, corresponding respectively to reduction of 47.5%, 54.5% and 57% compared to the uncoated Kraft paper. The decrease in the Cobb\u003csub\u003e60\u003c/sub\u003e along the m-PVOH percentage can be ascribed to the greater coat load onto the paper; several studies have demonstrated that a higher coat weight reduces the penetration of liquid water because it is responsible for a more densely packed coating (Du et al. \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Lin et al. \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Hamdani et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) and this is strictly related to the impregnation degree and coverage capacity of coating solution on the paper fibres.\u003c/p\u003e\u003cp\u003eAir resistance values, the time required for a 100 cm\u003csup\u003e3\u003c/sup\u003e of air to pass through the samples, were determined for the untreated paper and coated samples (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). The low resistance to the air passage of the uncoated paper (78.7 s/100 cm\u003csup\u003e3\u003c/sup\u003e), is due to its porous structure. Increasing the proportion of m-PVOH in the coating produced a progressive increase in air resistance two orders of magnitude higher than the untreated Kraft paper. The highest for the 20% m-PVOH sample was 4582 s/100 cm\u003csup\u003e3\u003c/sup\u003e. m-PVOH is effectively able to cover surface of the KP, reducing both the number and size of pores leading to a slowdown of the air permeability compared to uncoated paper. A progressive increase in air resistance with increasing m-PVOH concentration can be attributed to the increase in the coat weight, in agreement with other studies (Aulin et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Lavoine et al. \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2014\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\u003ch2\u003eWater vapour and oxygen barrier properties\u003c/h2\u003e\u003cp\u003eWater vapour permeability and oxygen barrier properties are critical parameters for evaluating packaging materials for the food packaging sector. Water vapour permeability affects taste, consistency, microbial spoilage while oxygen barrier properties are essential for preventing harmful decay in packed foods, as many degradative reactions depend on oxygen; assessing both properties can ensure the capability of a packaging material to effectively preserve food freshness and quality.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eCoated and uncoated paper samples were characterized in terms of oxygen and water vapour transport properties with the WVTR and OTR measured at 23\u0026deg;C and 50% RH (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e9\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe WVTR of the neat Kraft paper exceeded the detection limit of the instrument (1000 g/ (m\u003csup\u003e2\u003c/sup\u003e day)). The deposition of m-PVOH lowered the WVTR to levels that allowed measurement; at 50% RH, WVTR for Kraft paper coated with 10%, 15%, and 20% m-PVOH were 4.3, 4.2, and 4.0 g/ (m\u003csup\u003e2\u003c/sup\u003e day), respectively. Shen et al. (Shen et al. \u003cspan citationid=\"CR97\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), utilizing PVOH and ADK-based coatings deposited in multiple layers (ranging from 1 to 4) on paper and Pign\u0026egrave;res et al. (Pign\u0026egrave;res et al. \u003cspan citationid=\"CR86\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) by double deposition of PVOH coatings and a fatty acid chloride grafting, reported similar values of WVTR, ranging between 2.5 g/ (m\u003csup\u003e2\u003c/sup\u003e day) and 10.5 g/ (m\u003csup\u003e2\u003c/sup\u003e day). No significant impact on the WVTR was observed with an increase in m-PVOH concentration within the coating solution. Therefore, these findings categorize the coated samples as medium water vapor barrier materials (400\u0026ndash;1000 g \u0026micro;m/ (m\u003csup\u003e2\u003c/sup\u003e day)) (Wang et al. \u003cspan citationid=\"CR109\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) suitable for packaged snacks, cereals, baked goods, and dehydrated foods (Han \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Pasquier et al. \u003cspan citationid=\"CR84\" class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u003c/p\u003e\u003cp\u003eThe OTR could not be determined for uncoated Kraft paper due to its inherent poor barrier properties, attributed to the porous nature of the paper substrate (Schmid et al. \u003cspan citationid=\"CR91\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Adibi et al. \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). However, the application of m-PVOH coating enabled OTR measurements for the coated structures (Hamdani et al. \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). OTR values of 573.0, 588.3, and 588.4 cm\u003csup\u003e3\u003c/sup\u003e/ (m\u003csup\u003e2\u003c/sup\u003e day bar) were for Kraft paper samples coated with 10%, 15%, and 20% m-PVOH, respectively. These values closely align with OTR values for paper coated with PVOH, averaging around 560.0 cm\u003csup\u003e3\u003c/sup\u003e/ (m\u003csup\u003e2\u003c/sup\u003e day bar) at 23\u0026deg;C and 50% RH (Hamdani et al. \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) underscoring the crucial role of PVOH in improving oxygen barrier properties due to its inherent gas barrier characteristics. The OTR values are within the range or lower than those associated with biopolymers explored for diverse applications in the food packaging sector such as cellulose acetate (Rodr\u0026iacute;guez et al. \u003cspan citationid=\"CR89\" class=\"CitationRef\"\u003e2012\u003c/span\u003e) and PCL(Cheng et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Nanni et al. \u003cspan citationid=\"CR76\" class=\"CitationRef\"\u003e2019\u003c/span\u003e)\u003c/p\u003e\u003cp\u003eAs observed for both oxygen and water vapour permeation tests, increases in polymer concentration and coat weight have only a minor impact on the barrier properties of the coated papers. Guillame et al. (Guillaume et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2010\u003c/span\u003e) reported that paper samples coated with wheat gluten at lower coat weights already exhibited good WVTR values compared with those produced using higher coating amounts. Similarly, Naitzel et al. (Naitzel et al. \u003cspan citationid=\"CR75\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) spread agar-agar/chitosan-based coatings on paper and found GTR remained largely unaffected by layer composition. Factors such as increased crystallinity and the coating process, such as surface grafting, can have a greater effect on barrier performance of PVOH-based coatings than coating thickness and weight (Schmid et al. \u003cspan citationid=\"CR91\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Shen et al. \u003cspan citationid=\"CR97\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). In general, barrier properties improve up to a certain coating thickness, beyond which the material reaches its maximum efficiency in preventing permeation. Therefore, the main underlying cause might not be the material amount but the structural qualities and uniformity of the deposited surface. In the case of PVOH, coat penetration and the production of a cohesive continuous film are facilitated by its flow behaviour and solid film-forming capability (Idris et al. \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Saroha et al. \u003cspan citationid=\"CR90\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003eMechanical tensile properties\u003c/h2\u003e\u003cp\u003eMechanical strength and extensibility are essential for a cellulose-based food package to ensure the structural integrity and maintain the safety of the enclosed products. Moreover, good mechanical properties are required in printing or other web-fed converting processes(Bajpai \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eTo assess the impact of the coating solution deposition on the mechanical properties of the base paper, tensile tests in both MD and CD for untreated Kraft paper and the coated samples were used to determine the tensile strength and elongation at break (Fig.\u0026nbsp;10a,b).\u003c/p\u003e\u003cp\u003eThe Kraft paper exhibits tensile strength of 11.4 kN/m, particularly in the machine direction, which corresponds to the preferred alignment direction of the fibres. This is higher than those reported previously for Kraft papers with comparable grammage, typically falling within the range of 3 to 5 kN/m (Du et al. \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Shen et al. \u003cspan citationid=\"CR97\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). In the cross direction, the tensile strength of the paper is lower than in the machine direction and equal to 3.8 kN/m. The application of the coatings of m-PVOH did not have a consistent effect on the tensile strength, on the mechanical strength of the substrate paper in both the machine and cross directions. The values remained within 10.7\u0026ndash;10.9 kN/m in the machine direction and 3.7\u0026ndash;4.1 kN/m in the cross-direction. No notable differences were observed in the elongation at break along the machine direction between the uncoated paper and the coated samples. The elongation at break falls within the range of 2.2% to 2.5%. The application of the polymeric coating solution resulted in a slight improvement in the elongation at break along the cross direction, increasing from 5.1% for the uncoated Kraft paper to 6.5%, 6.2%, and 6.4% for the Kraft paper coated with 10%, 15%, and 20% m-PVOH, respectively.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003eWettability and surface energies of uncoated and coated paper\u003c/h2\u003e\u003cp\u003eThe surface energy and wettability of packaging materials is vital to ensure optimal adhesion, printing quality, and barrier properties.\u003c/p\u003e\u003cp\u003eWettability of the KP and coated papers were evaluated by measuring their static contact angles against water and diiodomethane (WCA and DCA); the surface free energy (SFE), the relative polar and dispersive components as well as surface polarity were calculated according to the Owens-Wendt geometric mean method (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe KP shows a high WCA of 77.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u0026deg; revealing the good water resistance of the Kraft, making it particularly suitable for applications such as packaging. WCA value for the uncoated paper were similar or higher than the results in the literature for different types of Kraft paper with similar grammage (Shen et al. \u003cspan citationid=\"CR97\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; N et al. 2020; Hamdani et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Kim and Hwang \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). It is mainly attributable to the superficial roughness of the paper (Hamdani et al. \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). The m-PVOH coatings at different concentration on paper are responsible for a WCA decrease to around ~\u0026thinsp;46\u0026deg; as consequence of m-PVOH hydrophilicity (Halima \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). However, the m-PVOH wettability against water is lower than other standard grades of PVOH in previous studies(Schmid et al. \u003cspan citationid=\"CR91\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Apicella et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) due to the modification of the chains with ethylenic insertions, which enhance polymer\u0026rsquo;s ability to resist liquid water. DCA remain unaltered among KP and coated samples around ~\u0026thinsp;36\u0026deg; suggesting the same degree of interaction of the apolar liquid with all surfaces of the tested materials.\u003c/p\u003e\u003cp\u003eThe uncoated paper exhibits a surface energy of 41.5 mN/m and low polarity (12%); the deposition of the m-PVOH polymer at different concentration results in a significant increase in the polar component from 4.8 mN/m to approximately 23 mN/m, resulting in a higher surface energy (approximately 57 mN/m) and increased polarity (41%) of the coated surfaces compared with to the uncoated paper. This marked increase in surface polarity, combined with the reduced WCA, further indicates improved printability and stronger adhesion potential, making the coated papers more suitable for multilayer or laminated packaging applications (Kumar and Srivastava \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e1991\u003c/span\u003e; Repeta \u003cspan citationid=\"CR87\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Wang et al. \u003cspan citationid=\"CR110\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eContact angles against water and di-iodomethane, surface energies components and polarity of pristine KP and coated samples.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eSample analysed surface\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003eStatic contact angle [\u0026deg;]\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c6\" namest=\"c4\"\u003e\u003cp\u003eSurface energy [mN/m]\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003ePolarity, \u003c/p\u003e\u003cp\u003eP\u003csub\u003es\u003c/sub\u003e [%]\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eWater\u003c/b\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003eDi-iodomethane\u003c/b\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e\u003cb\u003ePolar\u003c/b\u003e, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\varvec{\\gamma\\:}}_{\\mathbf{s}}}^{\\mathbf{p}}\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003eDisperse\u003c/b\u003e, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{{\\varvec{\\gamma\\:}}_{\\mathbf{s}}}^{\\mathbf{d}}\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003eTotal\u003c/b\u003e, \u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:{\\varvec{\\gamma\\:}}_{\\mathbf{s}}\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e77.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e34.8\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e4.8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e36.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e41.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/10% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e46.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e34.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e23.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e33.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e57.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/15% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e46.3\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e34.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e23.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e33.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e57.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eKP/20% m-PVOH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e\u003cp\u003e46.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e\u003cp\u003e34.1\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e23.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e33.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e57.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThis study examined the relationships between formulation composition, rheological behaviour, and functional performance of ethylene-modified poly(vinyl alcohol) coatings applied to Kraft paper for food packaging.\u003c/p\u003e\u003cp\u003eThe viscosity of m-PVOH solutions increased with polymer concentration, showing a critical range between 20 and 30 wt% where polymer\u0026ndash;polymer interactions and irreversible structural rearrangements became dominant. This behaviour defined an optimal processability window between 10 and 20 wt%, suitable for high-speed coating methods such as gravure and flexography.\u003c/p\u003e\u003cp\u003eAmong tested formulations 10, 15, 20 wt% m-PVOH exhibited good film-forming ability and controlled impregnation into the paper structure. Increasing polymer concentration\u0026mdash;and thus viscosity\u0026mdash;reduced impregnation from 41% to 23%, forming compact, continuous layers that substantially improved functional properties. Air resistance increased by two orders of magnitude, while water absorption Cobb\u003csub\u003e60\u003c/sub\u003e value decreased by over 50% at 20 wt%. Gas and vapour barrier properties remained stable across all concentrations, with OTR around 580 cm\u0026sup3;/ (m\u0026sup2; day bar) and WVTR near 4 g/ (m\u0026sup2; day), suitable for dry food packaging such as snacks, cereals, baked goods, and dehydrated products. With the application of the coatings, the mechanical strength was maintained (\u0026asymp;\u0026thinsp;11 kN/m in the MD and 4 kN/m in the CD), while the elongation at break in the CD rose to approximately 6.5%. The increase in surface polarity up to 41% and reduced water contact angle (\u0026asymp;\u0026thinsp;46\u0026deg;) further indicate improved printability and adhesion for multilayer systems.\u003c/p\u003e\u003cp\u003eOverall, coating systems containing 10\u0026ndash;15 wt% m-PVOH achieved the best balance between performance, rheological stability, and coating uniformity. Their moderate ageing behaviour could guarantee processable viscosity for longer periods, reducing material use, waste and downtime. The results provide a coherent scientific understanding of the formulation and processing behaviour of water-based PVOH coatings. Moreover, they offer valuable support for assessing the prospective industrial scalability of these systems in sustainable paper-packaging applications.\u003c/p\u003e"},{"header":"List of notations and abbreviations","content":"\u003cp\u003e\u003cimg 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PvLQP5/IHelRtGhRy5Ilixto3gH6BR+cmjFjxljmzJl3YcK8gQN1KNQjekKf2bNnN/ALYedcMVakH89///13++STTwx5ItkgXtTjPWNfnjNnjv3www90rZKKEEiXimQ5JKJkypTJcubM6S93jhw5PB3AwuGa+1mzZjVe6BCCwVK5Z3//Gzp0qB199NGG0WfBQxzKlStnuXLl8oXEgqHtMcccY0cccYSFsHNB/N1cH0IgxRH45Zdf7JFHHrFWrVrZNddcYx07dnTjyob//vvv2/PPP2/Nmzd3ryyE4EQAQ3Pvvffak08+6QZ42LBh9txzzxkGC4UwUMOHD7fcuXNbtmzZ/L1ncyfEfuWVV9rLL7/sof0HHnjAvv/+e8Njrlevng0YMMC6dOlinTp1cjnuv/9+J9EYcFIBTz/9tNfNmDEjw3jUgPZECF544QWbMmWK9e7d2x588EGP0tWvX9+QDSPDWv3888/t0UcftT09WYzpSy+95FE8ooEYKQj/G2+8YY0bN3ZDxVomvYGeGNMvvvjCmjVrZo89ickIpwAAEABJREFU9phdccUVHvGbOnWqET147733PIJIKqF1QnQQQ0ZbjNq3335rTZs2/Ud0EUPctWtXv4/eRBDRm3khEvnss88a5MoV//sPRverr75yQzly5EhPXdA/0UuikBha9P3666+N9swpqZ3PPvvM9WKMFi1auDF+4okn3BGak2B4wZfUaM+ePT1aSmQHR4d+vvvuO4MgsddNnDjR+wUTiAUpGyJGDRs2dKcJHEMIPv+0wejzLjHX9Ee/HTp0MAqEgigs71yDBg08FQPm7K9gzTv1t9r6SAUIxBwRiDDlJeYFJsf/4osvGkQAVsqmxEb5+OOPG0aeyAFtYOhsFpdeeqlRBg4c6C9vCIHHXlgIXIQQfDFwrSIEUhMCRKowjBUqVLCbbrrJjSEGBO/vwgsvdKNFxCvKjUOS8YxJmxEhgBzzedFFFxn3LeEfRh/jzn0MRsItjyKceOKJ3h/GCs+PMfksXry44YVifGrUqGFlypSxpxJSdXXq1PF1SGQND/Xqq6/2CANGIYTgKTzW3SWXXOIEHhLDWGPHjrVzzz3XGO+nn35yw4UBq1SpkmHEMYr0QV0K6UEICkYHQo9n/OWXXxr9QnYwSHi9GDuwYl9g/eP5YrSOOuoow/gTzShfvrxh6JAB43fWWWdZ2bJl7eKLL3Zygx5c0z8khfHZJyBkeMaMV6JECcNof/PNN4aj0qRJEwMjIguQA0gDWBUsWNBOOukkA/vTTjvNI5M4LkQvMZ4Yaow9exl7GESCSMvll1/uZAjSRH8QKNKj6AmGfCLX2WefbaeffrqnCRi/atWqThaYD+YY54Z9ESIFgYAI3njjjcZ706tXL48o0E8IweeAd4eoKxETMGf+kZ99F1khjxdccIHPK1FZ2oIF/VL4rpI6EIhJIhBCsOrVqztLZgGdfPLJjjaLn1A/3gYsng0Sts1DXlwWPouARcszPnlGCSF4BMH0TwikYgTw2tnQeecxfBg1DAZGDJJABAzDgpHCqGP4UadatWrukeNpYxwrVaq0i+zigdMeA0ddCv0cd9xxVqVKFTfS9BdCMLzPEIKH/OkbA0N7PiEFhIfxiDE0GGqMVAjB+AfZwLDjiWN8qI8hJHWAHpALxsVzpj1hadYzqT7C5vTBJ/pxBoDUAxEMjDwhcfo48sgjnaQgE0YceZGTkHfFihWdtNx1111G29KlSzsGeLoYX/CCcDAGDgaH6/B8IT9EEiBOYMRzDDR4M/6LCY7IOeec4+mREgmkgPEwwsg1btw4e/PNN514YMBpyz4FOUBH5CBig3ElEgkeRCzRA+ICySG6cssttxiGnoglc1KxYkU777zzdqUwiGoWKVLEihUr5hFRxsGQ8wlukCGICPKBBfhAvJgL9KPfEHbOE/UhD8jBHgm5oT1yU3g+ffp0J3MYfKITzCX3wRwco3rcU0l5BGKOCLAQWWCwfV5eXjpg5sVjcbGQ2FjYhLjHhsEmB+NnMcFg8aRq1arlhw3JxbFY6JNr+lIRAqkVAd5V3nOMBJswBgAPlvWAwcCQ4X2yiWOcea/Z9CEPGA5C5xgvDE2kIxs9RpT6rC8KfdAWQ4VRxHPmPt/JzeOZYqRYfzxHHvq75557DM8YssEa5B6yIReGCiOPvBARziKgD/2wViEJrEHIDgalcOHCRj3ahbDTSFGXtABrH9IBAaAPMME4oQPysebpk7GRgfExuBhHcAIfUh8QnDPOOIMqnk7B4KE7hTHoA6MeGWkqYuiRjegGhpJIAaQFYkC4nDFoz3kl2p1//vkGUUAP2oMdutI/suPFowvzwn10QQ72MbDF8OONM9fMJU4M9cASPbgHLsiKvrRBRuRALuYR/flOQTbqEE1ABggS7RgX/CgQHaJKkCX0Yiz6ZBwiBNxjXMYn6gpxQDfmg3ciT548fFVJJQjEHBEgf0dekFAWCxCcedHZfGC2hBYJ1xFOJIwFWyffR6iRl5kFF720RAnIEdKGBUzqgBArfaoIgdSIAJsx7zu5aHLA5JTZjDkUh2Hjvec7IW7WB5s+awMjTlSAdBmGD0MT6YfRxdCwPjAUkGm+sxbIEV977bVGKBuDiPEjRI13yYaPUcco8PM02pZJSBOQemMcvPvffvvNDyGSE8cwYtg5C0DuG11YyxhtfulDtIJ1iKHB63/nnXeMkDwkBbKCvMiKZ87P5cAB444xu+222/yXDhgv1jcGCfIPQRk0aJCfKSKUTbQQT5x0AP0Q4ifsTb+QEHTEaOLJ33zzzYbcyMs49BtC8CgCWBJ+B29wJnqCDBhjPGT2Es5wQASoe+aZZxrEB6PPz/Pmzp3rqR36Jw2Awcb4YqA5G4EspATQmTMI6AAxYN4gH5Ah5CRtwfxCaDDspEyJfJJiQCb2PnTE86cPIqiMwbtCtIZzDuCPUQcfSAZzwhzQP9fIDY7oi4Fnrni/IJP8aov9k0gEshL1OeWUU/zgNd9VUgcCMUcECEFBAniR+QUBMLNxXX/99cbCZ+MgD8bBIDYSvBJCqLzwfFIfj4ODTCwWXmQWKWcLfv75Z/+1AXVUhEBqRAAPEoOE8YDEkiLDOBBCJ09Lrp7QN4aafDgGrXbt2oZhYZMmvMyGnlg3DDoGEMOMkcAocriQg2QYOgwSIXbWHuvu1ltv9bMDrDnCzNyLwveQCcLs5PxDCIZHiaHgMBwkgf4gDRjLEglhdEg7hrFOnTp+mA8DT/SBMSALr776qmFwQgguMrpyQI0cP+F0DrRBODC6H330kSEraxnygv4YWvYJDB1GkxA/fUIu+HUQRpRP5CNaSLgc48mZCn6JxPkIzlxwJgHD6UIk/MEoc4gS4kGfkCH0gThxGA+Chqccwk65E5r4f8iAQQYfHJWof4hPtYT0DWkKDgTSH1Ec9jDSmZAB9i30QDZ0h6AQZXj44YeNvYtoDNhAbJhP9kF0pV/IG9eQGxwgfmYNKeIcA9ixb/IOQf440EkUg0OKECZkwKFiLA56MjZzQnv2VeYQggDphIAhF++SK6w/qQKBmCMCbDJRYcMCZV467kEIWCxsgoTRuM9z6rFZEHrjO/e5ZmFTn2va80k76qgIgdSGAN4mHjnGlnMBGMUQ/m9o8IwxzMgdveOsiRCCYdQxaBgFnu9ZIAc8wyslNBxC8F/T0GfiuvTHugkhuGfMM4gEBor/JwdGAbLBuuIZdVlb9AOZ4B7rDA8fGXlGn6w76vCdNtTjM2rD96iEEPzXDbRP/Jx+6SOE4Od9+E4h7I0XTXQCOUMIFv2jPjjSF4X7yMY9rrnH3sH13grtE98PIfhP9dhzEt9PfI2+YMa9xP3Thme5cuXyMxg8p4AJ9fH6iSQQOSEagpwhBP8VFXoiJ3W5ph/6pg6F+xRwZhyueR7Jj75gSVue0YbCHCADz6PP6F4IO+eB+7ybRBEgOER+uKeSehCIOSKQeqCVJELg8CLAxl2pUiX/qRspLr4nRQKMAmFrfqaHJ7y3NiEE/1ktHnxS+03cD8YFbxwvnNBw4mcpfY3h4nwQUQbkTGl5DnZ8jDZzSBoInQ62n+RoxztDlIC0VAj/J1rJMZb6PHAERAQOHDO1EAKpEgE2W8LV5Gcx2JGX9m/CUo+cPflq+thX/RCCEeLFM9xXnX3dx2PFCHC2YF91Uuo+XjChcgr6pZQc+xo3qfdJCZHmIJXJdVLbHY56vFdEEnjXDsd4GuPAEBARODC8VFsICAEhIASEQEwhICIQU9MpZYSAEEjbCEh6IXD4ERAROPyYa0QhIASEgBAQAqkGARGBVDMVEkQICIF4Q0D6CoHUgICIQGqYBckgBISAEBACQiCFEBARSCHgNawQEALxhoD0FQKpEwERgdQ5L5JKCAgBISAEhMBhQUBE4LDArEGEgBCINwSkrxBIKwiICKSVmZKcQkAICAEhIASSAQERgWQAVV0KASEQbwhIXyGQdhEQEUi7cyfJhYAQEAJCQAj8ZwREBP4zhOpACAiBeENA+gqBWEJARCCWZlO6CAEhIASEgBA4QAREBA4QMFUXAkIg3hCQvkIgthEQEYjt+ZV2QkAICAEhIAT2i4CIwH7h0UMhIATiDQHpKwTiDQERgXibcekrBISAEBACQiARAiICicDQpRAQAvGGgPQVAkJAREDvgBAQAkJACAiBOEYg5ojA/PnzbcaMGTZ16lT77bffbM2aNbZ161abN2+ezZo1y6ZPn27Lly+3JUuW2O+//+73+Jw5c6bNnj3b20yYMMGWLVtmO3bssO3bt3tbntF+27Ztfm/BggXe/o8//ojj10eqp2UEfv31V3vnnXdsy5Yt+1WDd591RaW5c+f6mmFd8D1xWbt2rX388cc2cODAxLf/9Zr1+tVXX9nSpUv/tW5SK7BOf/nlF+vYseNuTdL6l3Xr1tmkSZNs1apVe1Vl7Nix9vrrr/u+t9cKe7nJ/Hfp0sVGjBjhe9teqiT7rWHDhtk333xzQHInVSj2dvbupNaPx3oxRwTY3G688UZr0KCBtW7d2m644Qbr16+fDRo0yKpVq2YPPPCAsZlh/G+//XY7//zzrX///vb555/baaedZp988om1a9fOHnzwQfv66699YXTq1MmqVq1qb731lm3evNnYZPr06WOXXnqp/fjjj/H43kjnNI4AJHfOnDnWpk2bfWpCnfHjxxsGNVeuXDZy5Ej79NNP7e6777YPP/zQNm3atFtbyEGPHj1s3Lhxu93/ty+QjO7du+/TuP1b+709RxbWeFLX5/r1623hwoXuNOytv6TcW7RokdFPUuoeTB0cGIzl22+/bffcc487O3v2g2PCvrfn3OxZL/H3DRs22MCBA90JSnz/cF7zLv7000+GLAczLu1wztib92x/1FFH+TuJbeC92PO5vpvFHBG48MIL7YorrrCrrrrKmjVrZlWqVHGvp1atWla+fHmrV6+enXTSSXbGGWfYBRdcYGXLlvVFdcstt1ixYsXs0UcftSZNmtjll1/un7wkEAb6LFWqlGXNmtUyZMhglStXtoYNG1rdunWpoiIEUgUCeIwYJIwGhhDiimB4fRDgKVOmuLEKIVj+/PktW7ZsbtCJlOE5ET3766+/jGvqY/irV69umTNntoIFC9pTTz1lr776qo0aNcpWrlxJ17sKZOGII46wEIL9+eeftnjxYifNkydP9igdEYPVq1cbMqxYscI2btzoEbrcuXNbgQIFnHTThvGJ4KELbWiPgUM2InV4xMiGntOmTXM5+MTrQ090p32+fPlcvyj6x3gYe+rSN4YDPekXYv/tt9+6cWU8oiAYU0gK3+mTsZEDGekLfBkT48MYREOGDBnieEbPkWMXQIkuGBOMkIVxeASJIDpCv9G8cT8qELOLLrrIWrVq5XgR8YyeRZ/gzzwQCUU25EBedEAXZKV/9MMoIjcyHn/88b6vRbjQhkIdsCbCSp/IzTXvCxEc8GMe6Jt5BSfk5D66UJf7zAt4gx/PGRPd6RPZkTt79uz+7vCd58iJ/BxeiQIAABAASURBVMjAGMjDfb7zSXveD2Tq1auXMX/R+DyP2vPuVqhQwZhj+qB/ld0RiDkiEEKw9OnT+yY0ceJED+sXKlTIXzAMOBsRLymFa+7xYqVLl87r8PLwkvPCQhy4nzdvXrvkkkusW7duHr7k5WRxnHXWWd7G9E8IpBIE8OCff/5569y5sz333HPuwbNR/vzzz9azZ0/r2rWrR7bYxNmQeb8x6O+9956H9fGs2LiJhrFx0rZo0aKWKVMmK1GihKfU8B7PPfdcY10kVjvqD6OAh//uu+96/S+++MJefvll97h5hkeLkWA9IdP333/v6TrGos1nn33mIX3CxchBRAJC0rdvX2Ndohfy4u0T0WBzb9GiheuKMSW117ZtWycakAr6b9y4sRHZw3g8/PDDRggdTJ544gmP8g0YMMCGDx9utIXgY9RZ50QLucbAk0YhhYHR+e6774xwOvfAA7moS9QE4zZ06FCPoKAPbffEiTD8Dz/8YGDzwQcfGHsRWNDHl19+aRTmInE7yFK+fPmsd+/ehrHHGUn8nGvmAByRo2XLlgZm7FWPPfaYt4MIoAOYsD+CLzgwLvsmuIAJ7wl64qXzLjEmUSDIC3LS3+DBgz0yxFyi7+OPP270iRzoRXvmCl0gNtRnLhkPTMGPCAcyITftKJBM6vGcsSEnTZs2daww9vTL+8DzDh06+DzzvtEGwjB69GiPYvGceQIPyCakB1kTj8V4KjEYEWBSmWgWNC9JyZIljY0RT54XnYXBQqAQKuJeCMENOi8rC4A0AS8WqQI2yhCC1ahRw3LkyGG0YxOF4RYpUoThVIRAqkEAQ8Fmd8opp9hNN91kGEw8aN5nImH33nuvGzyMcAjBPXbe42oJaTMMD6QYZYik4V3lyZPH1wb32LDZbDHAbOoQCO4nLrSnDcQZ48bmSyqB+xhWNnUINOuHDbt27douJ94gZAOvEQ/5tttu25ULJ72HPBh3ohgYIQgPUQVC5Mccc4xH95AfGRkLXXPmzOn6McZ1111nYECYGC8S3YoXL+5EBY+xXLlyduKJJzrhv/nmm52YWMI/9gcighgSoglXXnmlpwRpQ7qQKAHGkmgJRKlmzZqe58bQYZTYhyA+yJXQnf+HnBioSpUqeeoywoKUCrjdeeedTjLGjBnj9RP/gUiRfiHdicOCromfc83+h/70j9GtWLGinXnmmYbeIQTfx4gs0M9xxx1n6Esd2uEYIQfvA5iw34E/GOIk0R/yEUGATNAPc8NeSUSVPpDhyCOPtKuvvtojp2ANjjhkvJecb+CT+YHsoUMIwdhreUcgbThqcxJSV7y/IQR37CCkd9xxhxM3xqQ9BASZmTv0RYaXXnrJz7EQ9YBkgTf7P9Ev8ItkNP3bhUC6XVcxdBFCMF5QXghIwLHHHuubGRsMofwXX3zRXkwopBFYhLwYvIxZsmTxcP+bb75pHLj56KOPnEUDDSSA8wWQBBYDLyX3eKYiBFILAhgoPHXeeQzV0Ucf7QYVow1JoFRPCPVjoNl4QwguOh4+a4GNFUPARot37Q///sOGSwoNLy6EYIR9WSMYifvvv9/wtqmK0cRg47XSZ4mESAL94cnh7TEWnjqy4uVSIALIkzFjRg970wdeNvKy4WN46AvvDiNHf4zHGqQN5IJnGBbkxzDRH8aH/knrQTSQDz1CCB45xEBZon/sAehDnxhrvHs87xCCe+EYfGRi/ROaR4fEfWBwIAzsNaVLl7Znn33WXnjhBffwSVdCxAhbQ5IgYBiv+vXrGwYKR4S5w5hBUvDqOasE+SDNiZEEBzAHb7DE26dfCtGREIIhO/ijdwjB0zo8J9JDFAIZwQ18IUbgy2cIwdMDPEM2dIDo0A/v0QknnGAYZ4ge7wHRAcaiP56zn0IwiZAQ6ocMQOiYEwgkdcENnTH0RHJoG8EPjoyHo0U0FiJBRIX74AzuyHLyySd7qol3mPYhBGMPZ14hHRRSAddcc43RnveAwvwnJmTRuPq02DsjAOtlk2GxsYiZZIw8C49neEssKDY5XkTq4FnQBm8Fj4QXjEXAgqAefVDOO+88Y4HiEbGx8HJxX0UIpCYEeNfx3tj4McYYTjZADAvvN6SATR3PjLoUNljO0WC0ChcubBhQPG3WDLqxZvBu8bJYE2zUGK2LL77Ynn76aT97Qx/0xVqibz5ZWxgADuUSIqctUToMPzlsyERUlw2c9cj6Y80iIyFrxsRQYlhDCAahOOecc9zg4fHRDnk58/PKK68YXi4GO4Tgnj060wf6YMQwCBgx7rPmGZO1HBkhjA5GrX379t4XRgYcGIf6XL///vuG8UQX7iNvCME9UXCBUEBcwB/sIT/ghDOBkQVTftFAKB4dwQ4CAcbsXXivp59+ukEcnnrqKT/3hHyQHMaDLKAP7XhO3+xPyMYcMMcU6oI5ZIy9i/MFnH/CgIIDxI85olCXtlxT0A89MO6QBvThXSL8DwnDOwd/CAkk7Oyzz/ZfWxENgZihI33UqVPHCO1DTugP4oOXjkHnk8K4vC+QEuoxN8wVuEKQ0AWZGIeD4NxDFtqyV/OO8d5AGiAMUXuwRw7qgw19hhC4pZIIgXSJrmPiEpbOC8XGwWaIUrwovPAsGjZH2CgvMguEeyxE0gR4UbBZPB5yhvfdd5+HHOmDwgbBS4zHwGLnnooQSE0IYNDY9Hh/Cb0/8sgjbszwzFgP5MnxcDEyGB4MCh4bOuBFEyImkhBCMDZqNmjWCX3i1bE2CFkTVcA7xbjQjtAsGzUGDI+OsdmEMRL0jSHCGEIIQgh+YLdatWqGh8p6pC9C6RAECDqb+mWXXeYyYJAhDXiI1CFfTX3ko3/y7YzBd3RDfr5zEBgyQV6Z/eDaa6/1cw2EtiEG6IYMEAH0xpggOxhCdNCRPtCD9hghPGIMKM9xKjDqyIwBw/ixv+AJ44GThoT8gDF7C+FwcCLagXHE4ONU4E0TuodUMW9gEumOZwu+tEd3yAPpS8gJUU+clVNPPdXoG/KDXtRlrpAZQ0kKgXkBF/RlvDx58nhKgDrIAGGhL3CGYEBQ8N45TwG+pFVwfsCYdwDseIdoR/qAuWd85hhd2FeZAwqpB0gm70oIwWompE8gNRhmSCefRDYgGuBPagCywZjsuWCOt897wVxB0ng/aMeYkNSqVat6NIN3lWgvqSNSH7RHd+7TByQxBBEB5iVxiTkiQMjwjTfeMDwDFjHK8jKwqGGqhOpYKGXKlPHTzzBkXixeVsL+5By5hnXeddddnk+jj6jQDz8bZLOI7ulTCKQWBDBmGBpCtxg8fh3DBogBgMRyboBfwLCBkjdv3bq1548xCGz+eJUYMvQhR4zhJhWGoWNdkO/HAGE48e6oFxUMDGk10nGsk9dee809WjZtPFkMC2uP+hgicu+EvjEoHDRjLNYuKT0MLDLynDV5/fXXG0aRcVnbGBVCv6xZDA8ePk4AfdCOMdADnW+99VZDV/YDPEYIxTPPPGOE3ImAIBcEAq+afQEDDTlhL6Ev2pAn52AgBhe9IVikGcG5UaNGhhcKtvwqCeOIs8ABSXREF+SJSgjBf7WEwSPED1mhDUSF9uCMdw3hiNrwCYlgX0Luc845xzCiIfzfqFEfTDicB5Fg/2revLlhwNEHLxmDTF/ohH5EEzDMjElBTww70RXeJcYBK36STT3w4JdV6Mp885NqDgQyNmdRIEvowRhRQX9kgTBxj/lgH0YPMEcP7pH+IG0AxvwyBRLCnCM/ZwXAG5zANHF7IgjMH3JSF7149x566CF/Z0II/pNxCBURHGRQ2R2BmCMCvGy8rBQWLOpitHmBYKkU7hMa45rCxsnGxHVUWNi83LRPXNhU93Y/cR1dC4GUQACvHcNIuJ2DXLynvPvIwsbPO86mGd2P1gTP2dw5QY4hDWGncaENxiGE4Kf1IQOsDz6jfmkbFQg3/VOHvrmmYNwhBxhZvM496+OxcZ9P6lOQkXqs1ag/xqQO3zFStGGdIyebPp4/XnkIO+UPIRj7AfUTy0zfrG+ecZ/2rGvwIfQPUeCgMUaIcUIIxh5BP4yPXIxNffYRPkMI/tNi6vGcdoxB/3zfszAm7Sgh7JQ3kotoI8/3bMNzsKGA9Z7PQ/i/nPRLAR9IEgSBTwhU1A48kZfxwALd+E4b5A4h+AE+nqMLY9IGHHge6Uh9oh8YaFI0FEv0L4RgzGN0i37QgfF4T9AVWekXPKnHd8blGfd4xj2+7619NH/IlLg994l8hRAMh4+2PFfZHYGYIwK7q6dvQiB+EGDTY8MnpMqvXDAcSdGezZhDVXhde27ibLyQAzb7pPS1tzp4aoT38dpC2Gn09lbv//cO7AqDwk/l8Nj3lP/AejL/fysQfuekP5GCA22fGusThSGdQHQFApMcMpLW4CwBkYgQDv0c/xeZITdEGRKTkf/SXyy2FRGIxVmVTnGJAN4aXjeFnDzEIClA0I7wLR7X3urzHK9sb8+Scg9vjv5DSB4DgXycUmfDT4o8+6sTQjCw2xcW+2ubWp9B5ogEQJiSS0YiCqRiIo88ucY5mH7RO6lr4WD6j4U2IgKxMIvSQQikYQQkuhAQAimLgIhAyuKv0YWAEBACQkAIpCgCIgIpCr8GFwLxhoD0FQJCILUhICKQ2mZE8ggBISAEhIAQOIwIiAgcRrA1lBCINwSkrxAQAqkfARGB1D9HklAICAEhIASEQLIhICKQbNCqYyEQbwhIXyEgBNIiAiICaXHWJLMQEAJCQAgIgUOEgIjAIQJS3QiBeENA+goBIRAbCIgIxMY8SgshIASEgBAQAgeFgIjAQcGmRkIg3hCQvkJACMQqAiICsTqz0ksICAEhIASEQBIQEBFIAkiqIgTiDQHpKwSEQPwgICIQP3MtTYWAEBACQkAI/AMBEYF/QKIbQiDeEJC+QkAIxDMCIgLxPPvSXQgIASEgBOIeARGBuH8FBEC8ISB9hYAQEAKJERARSIyGroWAEBACQkAIxBkCIgJxNuFSN94QkL5CQAgIgf0jEHNEYPv27a4xn9u2bfPrPf/s2LHDEj/jO4V6ie/zXUUIxCoCy5Yts/Hjx++2Fg6nrkuXLrUJEyYYa/VwjquxhIAQ2B2BmCMCPXr0sNtvv93uv/9+e/zxx+3NN980NjzUxsh37tzZnn/+eb/foUMHGz58uP366692991322233WbvvvuuNibAUkmTCCRVaIjvzz//bA0bNkwRIsD4gwcPtmeeeSapInu9rVu32pYtW/xaf4SAEDg0CMQcETjvvPMse/bsVrJkSScCv/zyiz399NO2cuVKe/LJJ61r165266232n333Wdr1661zz//3EqVKmU5c+Y0Nhnup0sXc7AcmrdFvaR6BDCweNgU3ufEAvN98+bNfiuEYHny5PE1wPuOceV51J7vXFNoA4n2hgl/qBc9T/jqxJl63Gfc6B7Xie9xTTuehxAsd+7ctm7dOmP8qH30nDqUxG2Qo0uXLrZ48WJJ/KUQAAAQAElEQVSjPoV71KEu35GTT+4xPvcp3KdvnvFdRQgIgf8jEHMWL3PmzHb00Udbrly5LH/+/FatWjWbN2+eEwA8kLfeessNP5vgnXfe6eQgQ4YMVqBAATvqqKMsS5Ys/0dHV0IgVSPwT+HmzJlj3bp180gXJHfSpEluNBcuXGi9e/e29u3b26hRowwDGkIw3n1C9G3atDEiZBs3brQpU6bYd999Z/Pnz/fUAVE0Im0rVqywBQsWGN95Pm7cOFu/fr317dvXhg4d6n337NnTNmzYYIz7008/WadOnWzkyJGWePwxY8a4Vx9C2EUCZs+ebd9//721a9fOx8dgMxZ9t23b1lMI/fv3t+bNmxv9EuWbOHGir2tkof3q1asNokC6ATkGDBhgmzZtcrIzYsQI69ixo40dO9bxMP0TAkJgFwIxRwTQDPbPgm/durVviDfddJOxURQsWNAKFy5MlV3l2GOPtfTp07tXQ7tdD3QhBNIgAnjLzZo1s7lz57pBfeKJJ2zJkiVupDGURxxxhKfGhg0bZvzD4GbNmtXrDxkyxKNiRM/ohzXUq1cvO/LIIw1DOnnyZOvTp48Ta+pAKtasWeN9QzIwuk2aNLGBAwe64YZYQAoYFwO/atUqJ9xE5uiP8UMITgqI3NHX9OnTPT2Hoad9xowZLVOmTE4+QgjG9xNOOMHXc/fu3a1QoUIGkYHgQxzef/99Qzdk+eabbzwtSBQQovLHH394lBCCw9gqQkAI7EQgJokAqh1zzDF24YUXugdx3XXXccuNvV/ojxBIgwgkRWSIbt68ee2CCy6whx9+2FNiGMEZM2ZYlSpV/H65cuXcWEYhedJi119/vUcJ8PqJoJ1//vlOJKh71llnGYSicuXKdumllxpkAmKN4cYw50lIMZQvX97P2Jx99tmG554jRw430ldccYWVLl3a8N5PPfVUq1mzppUpU8YgHYyPTvRx5plnupH/66+/jH7//PNPW758uVWqVMmuvfZae+CBB5zE02/ZsmVt6tSpHr2rWrWqITv1IS9EBI8//njjPhFBiAhEAJ2IglSoUMHJDuOqCAEhsBOBmCMCeDghBM8/Fi9e3IoWLWp4PGxmeEYzZ870jYB6bAx4KYlzidynsCGxee6ESX+FQNpDAE8aw0nBqPJO825DFriXWCO8bIw5hwfx9jk3Q5qAXxXwyRph/bzzzjueMoAQ4I1HfYQQPLJGao20HEaeQuqBMaPxLeEf40M+Ei79P4w13jv1r7rqKo8AMN7chKgG7cj3IwPnCeiLRnwSAeA+RKJIkSK+zrlPhC+EYCEEl4l+IUYcHn722Wf9DJHpnxAQArsQiDkigKdCfpI8KKHASNNzzjnHOBPw2muveV6RXwvglUAMFi1a5KFGQoaEKAltkpfEO4ra61MIHF4EDm40jB7Gk1A9ef1q1aoZ3jbe/A8//OD5dQ7JcqiWtQI5IKceQrDLLrvMjTyRAzzriy++2FNr/PKGthy2Y40Qtqct5xEI+2N8iTqQNsBYX3PNNZ5q4KwB5AHDf9pppxl99OvXz/P2NWrU8DVHX9OmTfMzBKxXyDfnCbJly2bHHXec/7qHFB99cYYH/TgTAHHhfAJnAegTmTkkjG6QF/phbZNq4HDwp59+ai1atHD9ISsHh65aCYHYRCDmiACbEqmA2rVr+0GkaNrY2O655x7/WSEeC9EAIgaEPvFarrzySrv55pv9oBMbHhsNIc2ovT6FQFpAAG+Y0/gYX95tQuoYVd59SAGG9I477nAjyztOTj+E4Afo8KzxyAmfoyvG9dVXX7WKFSvaKaecYiVKlLCnnnrKzj33XP9er149P5BLO84REHnjZ7sYcEL6GGDWHfepy/isNX6qS+qOcfgpL+35tQ5jQBBIQ9Af95AHOXkGEWjUqJEf9kWmRx991Dj3Q6qCNU+UgV8IEdnIkyeP/zooX758VjMhHcG5BGRCduqhn4oQEAI7EYg5IoDxJi9JKVas2E4t//7LhnPSSSd5npQIARsWGxWbDt4QhY2IMCI5UjbUv5vqQwgkKwKHonMOuxLpwnvmXa+akD+P3mHy5dWrVzciARh00gYYeggw30kJNG7c2KgTecyQBgwupLpMQl6fPkkZ1KpVyzDOp59+uhERGD16tH+ytsjPU48oBGsQ441ujF+tWjXvHwLO+Bh3xoew0F+1hOf0j4yQdYw8Y2G8MeyQHMY844wzPH3AWKxVxuI5vxZiDdOeCAjX6Ig8tCHCQaoQeVSEgBD4PwIxRwRCCLu0C+H/17tuJlyEEDx/mHD5j/9C2Pezf1TWDSGQihAgr05+H6+ctBZRrz3FCyHsecsgw5AG/odaeNP/qLCfG4TzL7nkEv9lAedt9lPVH4Xwz/FD+Oc9r5yEPyGEXWs5hLCrRQg7r0PY+bnrgS6EgBD4BwIxRwT+oaFuCIFUh0DyCITnW7duXT/hjxdPSiApIxEBuPrqqw2PnNB9UtpEdSAQRBPuvfde2zMCF9XRpxAQAqkbARGB1D0/kk4ICAEhIASEQLIiICKQrPCqcyFgJgyEgBAQAqkZARGB1Dw7kk0ICAEhIASEQDIjICKQzACr+3hDQPoKASEgBNIWAiICaWu+JK0QEAJCQAgIgUOKgIjAIYVTncUbAtJXCAgBIZDWERARSOszKPmFgBAQAkJACPwHBEQE/gN4ahpvCEhfISAEhEDsISAiEHtzKo2EgBAQAkJACCQZARGBJEOlivGGgPQVAkJACMQDAiIC8TDL0lEICAEhIASEwD4QEBHYBzC6HW8ISF8hIASEQHwiICIQn/MurYWAEBACQkAIOAIiAg6D/sQbAtJXCAgBISAEdiIgIrATB/0VAkJACAgBIRCXCIgIxOW0x5vS0lcICAEhIAT2hYCIwL6Q0X0hIASEgBAQAnGAgIhAHExyvKkofYWAEBACQiDpCIgIJB0r1RQCQkAICAEhEHMIxBwRWL16tS1dutSWLFliCxcutA0bNtj27dtt5cqVtnz5clu2bJlt2bLFJ3LVqlX+nWfU4Sb1Fy1aZH/99Ze3497GjRu9T9rS99atW70v+lu8ePGu/qircrgR0HgHiwBr5Ndff931nie1nzlz5tiMGTNsx44dSW1ia9assQkTJvh63F8j1uGUKVNs7ty5+6u227PNmzfb5MmTfS3v9mAvX1jLY8aM8fW8l8e6JQTiEoGYIwJsbC+88II1bdrU2rZta2+99ZZNmjTJfvrpJ3v44Yft3XfftRUrVvhkjx492ho0aGBdu3Y1NpNx48bZV199ZV26dLF27dpZ9+7dfZPE2Lds2dLq169vvXv3NshGp06d7KGHHrIvvvjCv3uH+iME0ggCGHHe/+eee862bdt2QFLPnDnT1xR9JLXh7NmzfU1CpPfXBllYU6zBpPa/bt06+/DDDw0Dv7++ebZ27Vp78sknDd35riIEhIBZzBGBE0880XLlymVHHHGE3Xrrrc78X3/9dTv55JP9ms0lX758PvcVKlSwHDly2DnnnGPjx4+3F1980cqUKWPXXnutXXjhhfb111/7BkNfhQsXdgJxySWXWO7cuY22EydOtAsuuMC/e4f6k+wIaIBDg0AIwbJly+bvdLp06Q6o0zPPPNPXx4G0y5Qpk+GN4/Hvb7AMGTJY9uzZ/zVykLgP+qZdFOlL/GzP67x589r69ett06ZNez7SdyEQtwgc2A6QBmDCsGOos2bN6oQAw06oP2PGjFa3bl3r2LGjb36oQqQAg1+kSBFr3769lSxZ0klBgQIFrFSpUlanTh1r0qSJLViwwHLmzGmQATYpUgOMwzWFTYj+VIRASiMwdepUa926tfXp08eJLWF2yC/v8KeffmrPP/+8jRgxwniHQwiGESUMTxTtzTff9BD+sGHD7KWXXrJXX33Vo2D9+vUzPHqe01///v1t1KhRnnqjT65btGhhv/zyi/GcyBvfST189913PiapAdbgnvjMmTPH3njjDS+kDngOwQgheDSO6EPz5s2NgpwQCdYt5P6jjz4y1nYIwWgzf/5876dDhw4e5SDN161bN8ehc+fORjQgffr0RgkhmP4JASGwE4F0Oz9i6y+bBWFCwvxDhgxxAoCxr1mzpvH57bffGucDpk2bZtWqVfPNj43ymGOO2Q2IcuXKeb3ff//d2MT++OMPY5Oh9OjRw88d7NZAXw4xAuruQBHg3Mr7779vpLM453Lfffe5wf7yyy+dGOPNP/XUUzZw4EDvmlA8xJcvvOeQBjxrCC5k+Mcff7RChQq5USbShkcNEfj555/dsEIEIB9EF1hvEHD6wKhDMjDGtOE+65JxokI9UnBE6CAmkHS8dZ6HEAwSQEru7LPPthCCyzwuIX0HceAeRIMwP/LSN2OdcMIJnv7jzACpQdZs7dq1nRghHylA+lcRAkLg/wjEJBEIIdjRRx/t6YCXX37ZQ/14AWxkTzzxhA0YMMDYzIoXL2558uRxr4iNLzo7EMETeRBsZGyYRBrYaCilS5c2Nreorj6FQGpAoGjRokYhhfXYY495CHzkyJHu0VesWNEuuugiq1KliufI8aIxxrz7t9xyi3vKs2bNMown7a+44gqDPPfs2dPD6WeccYaTAogDUTCiZKwp0mSk1zJnzmxZsmSxhg0bGteQcfL3t912mxNpxtoTo/PPP9/rRgY6qhNC8HQdBAN577zzTpflhx9+8FQchOaaa65xssC5A0jHcccdZ5dddpnlz5/fo3i//fabVa1a1dAbfUjlEZkIQdGAPedB3+MbgXSxqD5Gv2DBgla5cmU7/vjjjU0r0pMNi+cc9mMD4z4GHg+D6AEbBffwMPD82TjLli3LLc9dctaAQrSAzY7iD/XnPyOgDg4NApBWCr1BVklp8YsXCvcw4HjhrIMQgofViYZVqlTJHn/8cc/lY1SJgt111132/fffG2sDcg15wOjyyXP6YA1E30MIfj6HNUIqAaLNWDynbgj/N8IrV660jz/+2I499lg79dRTnRBABFivIQQn2sOHD3cSgj5E8UjJERUggsD4RPhYv4n75j7khugCv26whH8QCiIbPAshOOkx/RMCQsARiDkiwKE/PP5evXoZIUvXMtEfNgRChXgJbFA8YpO6+eab7bzzzrNHHnnEw//kJAmttmrVylMHgwcPNsKh9AtZ4FcI5CQhC/yKgH5UhEBKI4BBJGROWJzT93jIEOKzzjrLSA9wAJZIF4dcOTk/ffp0491mDVx++eUuPh44BpMvkGXaYuwx6qwJzgJgjPnk7ABrgnMCrA/6xJCffvrpHpnAI8e4Y5D5RQ+Egn4p3MebR1b643wBEQn6IZoAGeGgbs2ElB6kArmJLkBkXnzxRSPvf9VVV/n6HDp0qJ99oH/ajh071mrVquW/AmKNEhW5+OKLbd68eca+wDkJ1jFyqAiBeEcg5ogAG9i9995rt99+u3sYe04wGyUbHp4O3lL0nI2O3On999/v3gKbJ5sPYUaiA5deGxWlbwAAEABJREFUeqm9/fbb/owNjCgBP0UkRcD3qB99JhUB1UsuBAjdk9+vVq2aPfDAAx6uv+eee+ymm27yQ6+E7kkf4IVDdHn38bYx8ldffbWR+kosGykGwvDc413HGLO+INL8PLd8+fJ+0Jb1w9j0wy8ESC3ghdOuRIkSfvCWqALfKVF7om433HCDkbYjkoes9A/x4LwDP/G97rrrjF8E0aZNmzYeQSC6h7ys+fr16/tBX9Y3JJ71SzqAA488hzCccsopnqJAZ0g/uiCHihCIdwRijgjg6V955ZVGIeS4twkmvMiGEsL/w5TUCyF4/pTNhY2C6AH38UrwLuiTXxmQF61evboRWaAQmqSeihBISQQIlw8aNMhz/ITvyenziUy88xADjDPGGuOPt8530lwYz88//9xIkWE4aROVKPzOd4gxbVgHRAqIOHDNWKwFjDXeOgdySctBtok2QC54jvGmn6hApOmPtcrahaDwHe+dcVlrtMOwE2mgHfJD5ok6oEexYsV8LdaoUcMiOdCDZ5UqVTJIAL8eCiEY49Ef65e+6U9FCMQ7AjFHBOJ9QlOr/pIr+REIIRgHYDlVj7FM6ogc8MOw3n333UakK6nt9lYP43v99ddbnTp13OiGsDvZ3lsb3RMCQiBlERARSFn8NboQOGQIEBbH4yZ6hQcdRQP+bQAiABzuw2umj3+rv7/neP+c6IdQRB78/urrmRAQAimPgIhAys9BDEoglYSAEBACQiCtICAikFZmSnIKASEgBISAEEgGBEQEkgHUeOtS+goBISAEhEDaRUBEIO3OnSQXAkJACAgBIfCfERAR+M8QxlsH0lcICAEhIARiCQERgViaTekiBISAEBACQuAAERAROEDA4q269BUCQkAICIHYRkBEILbnV9oJASEgBISAENgvAiIC+4Un3h5KXyEgBISAEIg3BEQE4m3Gpa8QEAJCQAgIgUQIiAgkAiPeLqWvEBACQkAICAERAb0DQkAICAEhIATiGAERgbiZfCkqBISAEBACQuCfCIgI/BMT3RECQkAICAEhEDcIiAjE6FRLLSEgBISAEBACSUFARCApKKmOEBACQkAICIEYRUBEICYmVkoIASEgBISAEDg4BEQEDg43tRICQkAICAEhEBMIiAikwWmUyEJACAgBISAEDhUCcUcEduzYYVEBxOiaz+h79Ll9+3YuVYRAzCCwbds227hxo/Fub9myxTZv3pwk3ahLSVw56ivxvZS4Rh9kQacNGzb4+k4JOTSmEEirCMQ0EVi2bJnNnz9/19ywUYwaNcp++OEHGzx4sK1atcomT55sPXr0sLFjxxr1+/fvbz179jQ+Bw4caMOGDbM///wzBTeXXeLrQggcEAJLliyx5cuX79aG971x48a2YMEC+/777+2bb77Z7fnevkAWOnfubF27dt2NOIwZM8befPNN27p1696a7XaPtUfZ7eYh+LJy5Up77bXX7Ndff3Wd3nvvPVuzZs0h6FldCIH4QSCmicAXX3zhm0TijQrv4a233rKff/7ZZ3ncuHHWoUMH++uvv/w7Rv/ZZ5+1WbNmGR7QgAEDjO/jx48XGXCE9CctIIDxbtWqlX311Ve7iYvnDAlev369QRQmTZq02/N9ffnjjz9sypQpHkmI6rCWRo4cudu96FniT8acNm2aLV68OPHtQ3aNDhCb3Llz21lnnWWZM2c+ZH2rIyEQDwjELBHAoLPx4PWwgTGZ6dKlsypVqljp0qX9c+bMmR4mfeONN6x69epWoEABO//88y1//vx20kkn2YUXXmj33nuv5cuXz9hUiSDQT3IW9S0EDgUCRMIwjp999pmtXr16V5e5cuWyLFmyWPr06f29zpQpk3v5RMogx5AEjPu8efO83YgRI2z27NmWJ08ey5Ahw65+uOAeBU+fSAMRNAg1BHr06NGGgYaEs/5eeeUV69evn683SAjjzJ0718n10qVL3ZufPn26TZ06la69cJ8+IeV+I9EfxqT+xIkTDZ1Y2yEEO/LII123FStWGO1pO3z4cCf1M2bMcDITdcPzQYMG2Zw5c1wOIoJgRj2IT1RPn0Ig1hGISSLA5sPGdtVVV9mll15qbdu23c1rYdPA02eDuOWWW6xo0aK7bXIhBJ/3EIKTgksuucQjBGwu/kB/hEAqRoBoAEb4mmuuscKFC9snn3zihm5vImPcMYDNmjXzdBnRMdYM7THqjRPSCBhK6u2tPfeIDBB969Spk5OHb7/91lNqGP/vvvvOU24YbMj5okWLXB5Sbo0aNbLffvvNvvzyS7v//vs9Jcd6/OWXX2zhwoX+nUgczyAEjEWBBEAqIOd9+/Y1nkFuIDD16tUz1mmXLl3s8ccftx9//NEefvhhe/755z0Vcuutt9rQoUN39U9KAbI/ZMgQa9eund13330eRaE94zCeihCIdQRikgiw2cDq2RCrVq3qm1LkaYQQ3Dtgo2MTYSMidLm/ic6YMaNvpId+Y9jfqHomBA4OAQwhBpT3lVA55wAwrHv2BiGek+ANk/tv0qSJPfXUUwYhuOKKK9ygr1u3zm677TarUaOGbdq0ac/mFkLwaEL79u2NNqTcIAWtW7e2HDlyWKFChaxPnz5WoUIFLzVr1vSzNxj6I444wtcU6w8vnihcvQQjXq1aNRuXkK4josAZBKJ0efPmdZISHehFLs7xMCZE5ZRTTvFIA6kBhCTaUaJECStSpIjdcMMNds899xh7wgMPPGDnnXee94WjwBj0T0SBCAUy58yZ055++mlvAz70pyIEYh2BmCMCbH6EItm48EAw8izuQYMGOQFgM8mSEBq944477OKLL/ZF3717d9/QmGw2kcQbAO3ZMNhUoo2GeipCILUiQDgfg0xqrHjx4h7t6tWrlxveEILxfocQPITOesArhhizdkgV1K1b171xvOmKFSsa/2hDCWFntIx70VphvRFdY81xOJE+accawwhTl3QB95EpT0KaAXLQsGFDO+OMMzxalz17ds/t8wziTToDI12qVCknKET3aE9fEHyiGLThe8GCBflwPYlcICfnBDDwfKc/9gDWPcZ+7dq1tnLlSicqZcqU8TNAV155pePCGs+aNaunT7xT/RECcYBAzBEBcqP8KuCiiy6yq6++2q677jrP9RO6JI/JBkN0gI2EMORdd91lDz30kB8qJD9IbpRPzgPgRX366acGUcAz4qzAf3kn1FYIJCcCGEry5njovNukBm688UarVauWtWnTxgjPY6hZI7z/5M8x/ITDP/zwQyOkD4EoX768G0nqFStWzH8VwFpgXWCE0QHSQB6diMIjjzziXvw777zjaTYIAjJwQBDvPYTgHjue/sknn+yheTxw1iN1McoQBCIZjMOZBKIEeO2QFPrhZ4GMS4kMeu/evd3TRw50oR/ak9Ig/89aZnzuJe6f70cffbTRP1EH9gPOLdAefRKPxXgqQiDWEYg5IkD+j82OhY83QOHnRGxohBM5RY1BZ/GzYeABkD4glPrBBx8Yec6yZcv65+uvv+4HjrhPeBRPI9ZfCOmXdhHAOGMcMe4YQbxi7mEU8ZqJipGbP/HEEw1vHwOKAcTg46GTd8cIY2iJll1++eWWLVs2/zkexBijShsQ4po1hMEm1M/hWogG0QHOJEC4ISWVK1f2NAF9QTJIVTRt2tSIskFcCPuTHiASwNojcgBJ4WwD0QQIA2MTYYjWH5GAJ554wuXq1q2bR/aOOeYYmzt3rhFBQDciHOgG+QALxuG8AnggP6mJu+++2zgbwP5w1FFHGQSAyAGHJqmjIgTiBYGYIwLXX3+9ez+XXXaZERJkM+RQEpvMM888Y2wgHIgiF8ri5yBgx44djd9Jc7iJ30XzHOOPh8NPB8uVK3cQ74OaCIHDiwDeNdEtDt9dcMEFnsPHkPMeYwQffPBBj35xZoDDc9z/+uuvjbXCe0/ULIRgrAfSaoTNMb6E6DHe/ALhhBNOcKUwmEQCWFdEyxo0aOA/w2U9kY7gIB9rB9INMbnzzjv9QCDyEK2DkN90000GEacuBcP/8ccf+2FCyDjkAfkw2PThA//957jjjvMoHgf96tWr54eCkYMDfxwuZM0zBoSmZcuW9tFHHxn9MA568MuhqH9SIRADzgaADdj9PYw+hEBcIBBzRCAuZk1KCoFkQoAQO5EDIgREEZJpGHUrBIRAKkJAROAQTYa6EQKxgACn6vk/9VWqVMkPE8aCTtJBCAiB/SMgIrB/fPRUCMQVApwPIF9PSiCuFJeyQiCOERAROKjJVyMhIASEgBAQArGBgIhAbMyjtBACQkAICAEhcFAIiAgkATZVEQJCQAgIASEQqwiICMTqzEovISAEhIAQEAJJQEBE4B8g6YYQEAJCQAgIgfhBQEQgfuZamgoBISAEhIAQ+AcCcU8E/oGIbggBISAEhIAQiCMERATiaLKlqhAQAkJACAiBPRGIMyKwp/r6LgSEgBAQAkIgvhEQEYjv+Zf2QkAICAEhEOcIxDQRiPO5lfpCQAgIASEgBP4VARGBf4VIFYSAEBACQkAIxC4CMUQEYneSpJkQEAJCQAgIgeRCQEQguZBVv0JACAgBISAE0gACaZYIpAFsJaIQEAJCQAgIgVSPgIhAqp8iCSgEhIAQEAJCIPkQSCNEIPkAUM9CQAgIASEgBOIZARGBeJ596S4EhIAQEAJxj0CqJAJxPysCQAikMAKbNm2ylStX2vbt21NYEg0vBIRAciMQc0Rg5MiR9vXXX3uZNWuWUb766iv75ptvbMmSJdajRw9r27attWnTxr799lubPXu2bdu2LblxVv9CINkRwGgPGDDA3+/27dvbnDlzbNSoUcb737lzZ1u8eHGSZFi9erX38eCDD1qzZs20PpKEmioJgbSLQCogAocWvIwZM1qHDh3c4IcQbMWKFfbdd985CUifPr1lypTJ3n//fScIbHh16tSxPn36mP4JgVhAIGfOnNa8eXPr0qWLhRBs6dKl9sUXX7h3z9pIio4DBw70+k2bNrVKlSrZTz/9lJRmqiMEhEAaRSDmiED58uXtjDPOsPPOO8927Nhh8+bNs9dff93uu+8+y58/v5111llWuXJl/7z77rstR44c1q1bN4VA0+gLLLH/j0C6dOmsSpUqduqpp9o555xjhPe3bt1qn3zyid1xxx2WL18+mz59ug0dOtQGDx5sU6ZMsWnTpnlkDOO/bt06f0704Ndff7WpU6ca91u2bGljxozx9cRoq1atMp5PmDDB2rVr5/1wn4hb165drVOnTrZw4UJbvny5j8UapE/GImqBTMhAXaIUW7ZssdGjR3shYrd+/Xq6UxECQuAwIXDYicBh0sv69etnn332mVWvXt3KlCljib0hNpphw4Z5ZIDw6YUXXmhsoodLNo0jBJITgRCCDRo0yH744Qc77bTT7Nhjj/XoAMS4b9++9thjj9nYsWOtf//+9vzzz1u2bNkMQ809rjNnzuz3cufObfPnz3dRcxhnrJ8AABAASURBVOXK5Z/8weC3aNHCow4QhbvuussmT55sH3/8sa1Zs8bJBOkI0m7PPfec9erVy3r27GnPPPOMLVu2zHr37u39zklIXfAcYkFbCMSIESNs7dq1DKMiBITAYUIg3WEa57AOw4ZH3p8NiFzp5s2bdxs/hOCbTZYsWfzswFVXXbXbc30RAmkdgY0bNxoe95AhQwyPG31CCFagQAHD0D/yyCN2yy23WN26dQ0jj3HHIB955JFWunRpJw+kBY466igrVqyYHX/88U4m6KdgwYIeXYBAY8Dz5s1rjFOzZk0jIrdy5UpPxRUpUsQJxWWXXWYvv/yyk3E8/w8//NDTDUQnOMNAJII+iORRr1ChQgyjIgSEwGFCIJmJwGHSYo9hQghWq1Yt++ijj6x79+6eGmCjgyBQNWvWrFajRg3fBCtUqMAtFSEQMwjwnl988cXu7bdq1cree+89D9OjYAjBjTN18M6HDx/u52gw9FFUjPB9VAjjU5dC+6hkyJDBz9vwvXjx4n6gcOLEiUY6gdQbETjIOOdysmfPbqy5okWLOikJYef6JBrAIV6iEPQTjc+1ihAQAocPgZgjAoQbyV2yweHNvPLKK54DfeKJJ4wT1b/99puNHz/eT1MTxjx8UGskIZC8CGCs8bInTZrk+Xa888cff9xYA08//bSnAjgXMHfuXD87Q12iZkQIWAuE8kkFsEYw6AsWLDCMN/VYU5CCSAMO4RLG56AtEQcINeF/ziVAABiDyABpOFIUAwcOdOJw0kkn+RkGfrHD/d9//92IXjAGcnMdjaFPISAEDg8Ch5QIHB6R9z8Kh5ROPPFED2US6ixcuLDxy4BSpUrt2vyIFnBwipDk/nvTUyGQdhCACGBYayaE6MuVK2e8/xjyBg0aGF47P6Xlvb/ttts8QnD66acb1xjrK664wipVquT3aQuJIIp23XXX2eWXX+5hfbz7CA08fAz9nIQ8PySbA4p33nmnRwYqVqxoV199tbehHsSAurfffruRenjggQc8Yoe8J598spG6QxZSDpCKaAx9CgEhcHgQiDkiwGnpJ5980ticypYt6x5Nw4YNrVGjRgYhYOPj0FK9evWMHObhgVmjCIHkR4DQ+iWXXGJ4/xwIJNyPp867T+E8wEMPPWSsDwxwnjx5jHWA0eZQ7ZlnnmkYcZ4TScB7h0jz/xNgLYUQXAm8fqIDrDV+eQPJJqpAOoKDg5AI+uQeP9FFJtYefSAjZOTGG2/01BxrkMOMrFF+2cDPH30Q/RECQuCwIfAfiMBhk1EDCQEhkIoQGDdunP/cljMBGzZs2KtkEAVSDEcffbT/z730S4C9wqSbQiBVICAikCqmQUIIgbSDwNlnn21vv/223XzzzZYlS5a9Ck4a4aKLLjL+HwREAzgwuNeKuikEhECKI5BkIpDikkoAISAEUgUCnPInhM//jItQ/96ECmHnrxMgAPw8cV/19tZW94SAEDi8CIgIHF68NZoQEAJCQAgIgVSFwD6IQKqSUcIIASEgBISAEBACyYSAiEAyAatuhYAQEAJCQAikBQScCKQFQSWjEBACQkAICAEhcOgREBE49JiqRyEgBISAEBACqRmB3WQTEdgNDn0RAkJACAgBIRBfCIgIxNd8S1shIASEgBCINwT+RV8RgX8BSI+FgBAQAkJACMQyAiICsTy70k0ICAEhIATiDYED1ldE4IAhUwMhIASEgBAQArGDgIhA7MylNBECQkAICIF4Q+AQ6CsicAhAVBdCQAgIASEgBNIqAiICaXXmJLcQEAJCQAjEGwLJoq+IQLLAqk6FgBAQAkJACKQNBEQE0sY8SUohIASEgBCINwQOk74iAocJaA0jBISAEBACQiA1IiAikBpnRTIJASEgBIRAvCGQYvqKCKQY9BpYCAgBISAEhEDKIyAikPJzIAmEgBAQAkIg3hBIRfrGPRFYvny5/fXXX7Zo0SIvzM3WrVttxYoVtmrVKlu6dKlt27bNduzY4fdWrlxpq1ev9u/UXb9+vf3555+2Zs2aXffWrVtny5Yt837pe/Pmzf6dtoxDf7RVEQKHEwHe4eHDh9t3331nvOP7G5t3duDAgda/f//9VTusz1ir33zzja9T1hzXrCmE4POrr76yV1991b788kv76aefuL3Psn37dvvtt9+sT58++6yzvwdgOXnyZMdyf/X29uzHH3+03r177+3RPu8tXLjQunbtamCwz0oJD5i3Tp062bBhwxK+Je2/DRs2WOfOnW369On/2oB97ZNPPrFZs2b9a11VSDsIxDURYDF36dLFzj//fLv//vvtmWeesdtvv93GjRtnzZo1szJlyvg9DD8bZ7t27eykk06yb7/91jZu3Gg9evSwF154wZo3b27PPvusbwosRDaYW265xc4++2xf8IsXL7bnnnvOKlWq5HUhCmnnFZGkaR0BjB7Elndz8ODB1rJlSwsh7FctyGqvXr38Hd9vxcP0kLX6xx9/+PqBnKMTJJxP9ML4Zc+e3fLmzWuTJk0yjNv+RNu0aZP169fP1/L+6u3rGfKMHTvWPvroo31V2ed95EX2fVbYywOIz2effeYkaC+Pd91in2rduvW/EqFdDRIutmzZYrSZOHFiwrf9/4fcjRo1EhHYP0x7e5qq78UcEWAh4MmvXbvWPXVeXIz2ggULjAWYeDZCCIbBPuecc+zmm2+2999/32jHgqtbt66dcMIJduKJJ/rmkjFjRjv33HOtTp06dt1117nRxwOBQDRt2tQeeughgyjAlk877TS77LLL7IILLrAbb7zRihUrZldffbUdddRR9tRTT1muXLlM/4RAciHAe47RxEvGYE2dOtV4p7nHu5gpUyaPYC1ZssQwpBhWDA2EFwIwf/58N6RHHnmkZcmSxcVkXeGVso7okzFYZ6wv+sWwUpFn1KEuBoZ7UaEuY0CEqUMfRMy4ZlzqMc68efPc4HHNPfrEE2bdlC5dmltWpEgRX1N58uTxdU7kgvoQeUh59erVvR736A9dE49Bf2CRLVs2rxf9Ya8AN/YBone05xltIfToynW6dOmsQIECBvlAd+5H9cGF7+DIJ9+pg55gwD5y4YUXGvhA0HgGXuBCZBF56YvneOB8z5Ejh+XLl88YF3miAoZz5swx2iMr+pQsWdLYr6jDPdrTH3Od+B7zzj1wZW8CZ2REDupRwGL27Nn+vvD9iCOO8P0wffr0fFWJEQRijgiwIN577z3Dm8HzwbjjBbVo0cLw/vectxCCZc6c2V90FjqLj8VWsGBBu/XWWw2mzCJiwY0fP96uv/56jwZ0797dIwksOvo87rjjrFatWvbaa695CoE+WZQsZAobQJaETZXFRn0VIZAcCGDIBgwY4JEoSCnGaMiQIfb999/blClTPBKAkevbt6+9+eabNm3aNOP5Y489ZmPGjHGy/O6779rQoUOdJIQQPDU2YcIEG5iQKvj444+NtniPRMJINbzzzju+tlgjeMnU+/rrr411hyFCT4wnHjhtqAN5xosnRP7KK68Y/bBGkJPy+eefu8dOn6y71q1bO9H+/ffffb0Slscbx1CNS4jgzZgxw+iXtdqmTRv74YcffJ3+8ssvLgftec76JqLXoUMHxyiSDxkpo0aNMuRBBghFt27dHAfuEz6n71atWrnDwFrOkCGDr/c33njDwBtswfHDDz/0FMUTTzxhGGL2JTCZk2C0qUd6gGtwACf0JWWDfvXr1zdwJqpBPfYu8GNfQsao8Bw9kOuLL75wDDHsyEUd8ARfcP/ggw/s559/Now8Dgv6oUeUQqB/wv3gxBzR98yZM405Qgba8zzqm/5V9oNAGnuULo3J+6/iYnxZeDB1vHAWFNd49oTy9/YisxngUbCx4HE8+uijljVrVvc48J66du1qMHs2EQw+i4kFD1lILBCkgMXHZsSiZeNhk6SwyGmTuL6uhcChRgCjjrHi/YOsduzY0apUqWJlEtJclStX9uFYA2eccYZhxDCUPOd95/3mfcfLJqpFHyEEPxNDn3jRvNuPP/644WGTAsNDvPjii504QDQwbBhv1iDvPR4vg9IX/VOnbNmyxjqDbDBOiRIl3OgPHLjzTAJku0KFCk7C8Ubpk/pXXXWVr0uMHWsJcoLBOv300411edZZZxlRDMbGoPKcqF0IwSAOGEBITM+ePe2mm26yU0891YkR8kUFT3fQoEGGjFWrVjWMMDq3b9/eypcv7xFE9hQMbAjBz1rkz5/f+yK6AbbIRxqwRo0afk6I5/Rbrlw5lw8CgHzUGz16tEcIzzzzTINs5MyZ04hQQhzw6pmjK664wucKYx3JySekD6/+2muv9QjOyJEjXR6ehRCcGEGwaH/KKaf4nPFOgDNRzaJFi3oKlP0vhGDsZ+yZ7HfgDgkoVKiQ0T9RDd4BZAghMIRKDCGQLoZ0cVXwutnICNsR7mIxsVkRBiQEx8LB+yEVgGdAIzY/NhlY/VtvveWbSgjBWJSE8tk42BxOPvlkY0FDNhiHhU/7qBBRYMNjM2LBcEbg5ZdfNsrdd9/tCz6qq08hkBwI4I3SL+/0ww8/bBgjDAbvJfd4ljt3bjdI0XvKOiGVhcfIITuMKkYhhODvO8aWyEIIwdNjb7/9tnvlrA/C1cccc4yHyPEYMRiMg3GuX7++ryFL+BdCMMLbGEXaYGBYp4yDQYJkYKypwz3O4lAPb5+cP2uPNXz00Ue7sWNdU0LY2W8IwWWIInGsU+SBlGBwa9as6cYfHYsXL25FElILJROF0BNE9P8gRIwPaSJ8jwwQetY6Y9MWTJE1hOBEAjnOO+88j0AQvWAOqlWr5uSgYsWKnnJEP8YDe/YPBgMnxmMewIBrDD/pRuYMx4VUAamEEHaORbuoENKHQEBwSLnQNnqG/jgv4E1hfmvXru1RH3QAf9pCzhgDWdCVucdxgsCRLkI29lKwYO+kLmOEEPhQ2YlAmv+bLs1rsIcCGHu8BRYS3jmfePAUvrNoYcgQAVg7z9m8CN+zKPbozlgA3MOTYQFxzUZBGoBNk5AkiwMGzXeIAwudhQkxQB42IupQ2FTxGuhHRQgcagTYyHnPOd+CB8umjoHgvcOYsQ4o1OGTwvuIZ46nSqgZwwORpQ7vLCQCowOhJnrA+887TVvWD+uNehgS6mIw8UCpF8JOgxHVpx5rAnloxzVrhX4wznjxePSsR/orVaqUpyYwxrSlLp+0Qz4MPX0hC99Zw3xSMGDUi6IhfEcHDDXEhjakFqgTzUMIwSMgGEEMKXoTHaAupASDTn3uITP3+cSQ48m/9NJLdvzxxxuGlj7vuOMOT0EQ/WD/iHBFZtrxCQ58RnqxR0FciDxAfugHPaOx+E7h7AdpjNoJBh686QPZ0J0+IVp4/8gNruxhkBFSBegHxnyHgDA27RiD6xCCnzMgokBfvDvoFUIw6lGYU+RQSfsIxBwRIFxJ2JKfwhBqK1y4sBEyg8ETAmMxsGAvueSSXeFJwnBsNCz8PaeWJym1AAAQAElEQVQUpnznnXda9erV3ePgOWz7mmuuMUKihF5h5OQSORz4wAMPGGE/xqc/NgA2DzwF+oLls2DpR0UIHGoEIK4QXHK6RLHwQDHMGIVff/3VIK5s/BgI3nu8bT4xZITW8YQxYmz8vLccHmM9XXTRRUZkjBA5xIJnGB36JL2AtxhCcK+bsflpH+uNuuiIMcFDh3RHa42QO+0xaBg6iAtr89NPPzX6ZM0RTufXPJBs0h7IxrgYctYRBJz1zT3WGGuPfjHwGF5SIIT3kR3Cw7ol7dC2bVv/SS8RCIwaMlIgMvRLDp38+W233WakLjgvxDjoBUZghQy0wVjSjijIscceazzjPgXCQGgdQgMpA2sMMPhhoMGHueDMBThzZiOEYERAIGeQGOTGcCMX+xj9UphbiA3nIdABwzx37lw/s0BfRHqQhQgO7wK6Igv3ODzK+DfccIPNmTPHfyrNmQBw5v1gH6Uu/bG/8T4QVUA+9lSIBXOKHHFXYlDhmCMClSrt/IkeLJmfBeLh8AKzkGHYbCyJ55E8IYej2GxYVImfcY3RhzTQF9fco7AIWUR33XWXXXrppb4Bkl9jEbEB8XNBcqTIQ108A/KVl19+uYdV6UNFCBxqBPBgyeG/+OKLfrAVr5qNm4NveJmPPPKIH2rDyDz55JNGvTx58hjGk0gW7ycyca9BgwZGqgzjRhSNFNc999xjrCFIL4dxSX9deeWVhrHBQGI8uCYVhmGP1gx9Y1Q5yEv7OnXq+GFFIgwNGzb03/9j9Pj1DWNgsOkb8sy6og5rEBnI3aMLhAODiQHm4Nsdd9xhkB7+XwLoxvW9997rB3hZ/6xL1jg/+eXXQqQDGzdubKxPdKZgmIkcMCbyVk9wANCBNU6qBV05X0C0gzw7BpXwP5EKSBO48Iy+KCEEe/DBBz3vz3eegenTTz/tvyriUCF9QrQgLOhMX5AFSAwELYRgXFMXvemHwrMmTZrYDQnGnFKvXj0jTcO+w0/88OBJMxA1QGb0Z3zeBfYtzmKw/xF1oA33GB+yBzZEGTjsSPQTXembs1acHeDXGcwpcqikfQRijgiwgfFis5jJjbEZ4EWwGXKdeNEzfVEd2DNGnHt7FvKOlD3vE8KjX/JojMF36sD86Y/x+F0zmxlhT76zEbGxUE9FCCQHArx/rAHWQgjBf3KGAeBd5P3jGe89hoRrfmGDkSVszftsCf94l3lneU5/vMPU5x7eL33xjH5owzVnBjCkrAfq0UdCV/4f91kjrAHk4po29EN9+s6SJYthXFg7PGdMGtMWuVnTFOrRjvYQH2SgX+ogK+25pj11eYb+0bqjDeNBkugPfRgHj5sIH54yJ/mRk7F5hi7oSTv6pC/a0jf7Bj8TxqEg7x7CznQI7Sh44sjCNfsIctMP7bmmX67pCxnog187QZiiduxbPEdX+qEgN+3QFZ3ABPzok/6Rk+8QANpRn3YRRrRFD77ThjnjHuOAP8/4zvwwfgjBzznxnLoRNvQZwyUuVIs5IhAXsyYlhcAhRIDDb0TO8OYjw3MIu08zXWH48LjxeAnpR4bz3xQAM37ZQMEA/1v9/T3HAPMTPn7aiQHfX109EwKHCgERgUOFpPoRAmkUATxJ8uZ4j2lUhUMiNgadlAkeOWmNpHq8EAbSGnjOIeweDThQwRiTdMd/JRQHOq7q/41AnH6ICMTpxEttISAEhIAQEAIgICIACipCQAgIASEQbwhI378REBH4Gwh9CAEhIASEgBCIRwREBOJx1qWzEBACQiDeEJC++0RARGCf0OiBEBACQkAICIHYR0BEIPbnWBoKASEgBOINAel7AAiICBwAWKoqBISAEBACQiDWEBARiLUZlT5CQAgIgXhDQPr+JwREBP4TfGosBISAEBACQiBtIyAikLbnT9ILASEgBOINAel7iBEQETjEgKo7ISAEhIAQEAJpCQERgbQ0W5JVCAgBIRBvCEjfZEdARCDZIdYAQkAICAEhIARSLwIiAql3biSZEBACQiDeEJC+KYCAiEAKgK4hhYAQEAJCQAikFgREBFLLTEgOISAEhEC8ISB9UwUCIgKpYhokhBAQAkJACAiBlEFARCBlcNeoQkAICIF4Q0D6plIERARS6cRILCGQUghs3rzZ1q9fb9u3bz9kImzbts3WrVt3SPs8ZML93dGOHTtsy5Ytxufft/QhBOICgZgkAmxiv/76q40fP943H75PmTLFRowYYT///LMNHjzYhgwZYn/88YfNmTPHhg0bZr/88ovf59mECROMzTAu3gApGXMIbNy40UaPHm2TJk2ytWvX2qZNm5Ks44oVK+zHH3+0Tz/91EaNGmUY8CQ33kfFrVu3+tr7/PPPrWPHjqmWDCxcuNCQkf1iH6ro9oEgoLppBoGYIwJsem3btrXevXvb5MmTrUmTJm7oZ8yYYffdd59169bNfv/9d3/etWtXW7RokT377LO+8U2fPt2mTp1qtF+8eHGamUQJKgQiBHj/3333XevTp4+TgRdeeMHf9+j5v31+/PHHTh7OOOMMy5gx479VT9Jz1t7AgQPtnHPOsZw5c1pq9bizZs1qxYoVs/Tp0ydJL1USArGCQMwRgaVLl9pPP/1kV111ld1www121lln+cK+7LLLrGjRonbJJZfYnXfeaWyQl19+uVWuXNlOPvlkO/vss/3+3XffbY888ojlzZvX8GTwDjZs2HBIPKNYeWmkR+pFgCjYDz/8YA899JDdfvvtVqlSJY9u8Q4TKcAI805DGAj9c4/oF8+537dvX8uePbtVrFjRTjzxRI8mcD+KDCReE7QHCcLp1KFP+udeVGg3ZswYW7BggZUqVcouuOACD78zLu14TlvGj/qLxthbf9ShLoW20Xf64h5tGZv7jEHfUT36o3Avek66IoqaQFLOO+88y5w5s5MV+qQubeiTvvnOOPTJPZVdCOgiDSMQc0QgT548VrhwYcOzIbRZvXp1O/30031DY57+/PNPmzZtmnv+1OMeC37JkiU2c+ZMIy2watUqy5Ahg3Xo0MHef/99e/PNN+23336jqooQSNUIHHPMMXbEEUf4Ozt27Fi79tprrXjx4taiRQt79dVXbdmyZfbiiy8aUQMiY4899pi1a9fO3nnnHevUqZOnyyASQ4cO3fX+N2rUyNNmq1ev9jqffPKJNW7c2Ei/LV++3MP9zZs39zH3jKSxpuhv3LhxBsn45ptv7IknnrAPP/zQevbsaQMGDPBo3Msvv2yMyRjff/+9ffDBB/bKK6/4mowAh7CQxvviiy+M+vQ3a9Ysu+uuu6xLly6uV+vWrT31wDpu06aNPffcc64f0T7afPbZZ16P1OB7773nY0BOSFkMHz7c669Zs8bYD5CDOug/d+5cQ4+WLVv62GAbyaVPIZDWEYg5IoA3U79+fff+mzZtaq+//rovaiaKkB/nBEgb4DnB8LmPd4Ch79evn7H42czwJqhbrlw592Ly589PVRUhkKoRKFCggBvpbNmy2WuvveYGPoRgvMe81xDc8uXLu4fOesBAQ56vuOIKu/jii33dXHTRRVa2bFmPghFRwyMeOXKkkwHOHdxyyy1WtWpVY4189913NnDgQMuRI4d/Qr5XrlzphAODWrJkSatRo4ZVqFDBzj//fE87YHAZg3WHsUZW8vO9evVyskCfrGPWX//+/XfhDamAIKADXjz1SF8gW65cuey0006zQYMGGR77119/7TJQ94033jAIC6nC448/3q655ho/B5EvXz6rV6+ePwOTdOnSuSMALugE6QAbZIC0kDY89thj7dJLL/WI4S7B4vFCOscUAjFHBNicCOvff//97gHh9eDBhBB8Y4P9s5GRKmADYjbZAIga4D2xMZxyyinGxkIfbDIQBzYt6qoIgdSMAIf9SIGR3nrmmWcM44qxxVBnyZLFeNd5twl/8537RAww/NznOc8Ik7M+8KSPOuooy5Qpk3vn1IEU16pVy0g7EPYn5E9IHeJNRILIA+dxWHd48fSHweaTPgsWLGgnnHCCpywYB1KBvLfeeqsf8GU8zhNAZM4991wP01vCPw73JnzYmWee6Wm8hx9+2AkIuX10LlGihHHNHkDkg7TfzTffbK1atfKzCYyFfFWqVHHSgG49evSwmjVrGm3BAz2Rdd68eX6PfaF169ZOZtgzJk6c6NEHCAayqAiBWEAg5ogAuUhCh3gjRx55pLGRsCmEEDw3SQ4zd+7cRmHTIyqAkWcDwAthY2QzZYMjf0gYEy+LaAF1Y2HSpUPsIoCHT9idHDbGnUgABjSE4B48OW4iA3zy3vNOU5d1EULwczFcEzHr3LmzkVojhcZaKFSokBvB2bNnG7/CwUPHwyakzxrBk6bt448/bpACzihg/BmHMfjkOREGxmV9kl7gHuSdexAEwvaRUUbOaLYgCBhozgEhCwYfg0y/UYF4cI+1zUFg2pBuCGGnbjxnPAgDY4YQDMLE2mecSE704ZAjpAcd2EOQj2gjdUmnUD9OitSMcQRijgjA+jHqeELkA8n11a1b1z2jEIL/WoAQXzSv/MyKjZINlPr8bAoPKoTgbT766COPJHCgkI0uaqdPIZAaEcBo857yixjy2RhCPGe8drz5r776ys+/FClSxH8eSF1+LoixJF/P2hmYEOonvI6hJneOAeQcTdWEdACHbZ966ilPE+DZc/CWiMKTTz5prCE8boz00UcfbRjROXPmeF3WId43aw8jDdE+9dRT7bbbbvO8PKF8DGzt2rU9RcEvefgpL556CMGhLlOmjB/kbdasmaEbxpyf/WK0qUvKgRQAn/SLHpwLwODjIEDwqQ8RgEwgL+kHziK0b9/ekA0iwNmDCy+80A8Ncj6ANuDIfaILYEZk0YXSHyEQAwjEHBFg8+HkPzlIcpOcnuYENOF+Ng8ORxFGjOaOzeWtt96yBg0aeA6TPCapA9rce++9ng+8/vrr/RR1CDs3pKitPoVAakMAD513nnef8D0kAKOMUcdY33jjjUYh7UX+H8PG+45R5Z3nkC3psZNOOsmoz7uPUaUfflpHhIzQPyF3DiWy3jCkjRs3Now4of/EmEAKGjZsaJzVYQ3SNykD5MTTZq1ykBGyDqEgEvBUAtGg/k033WR58uTZ1R0EgvQd5wRIPRA9IPxP6J6x+RUQhx45j4BunA149NFHPQ1AOoCDfzUT0gBEEogWIAuHCTkzQN+kHIimUBe8ICM8BwO+k7pgDA4nossuwWLtQvrEHQIxRwRg63g1eEalS5f2jYR7GH+8leOOO263gz7U4wAQGxOhVAobHnlCPA2IAhseG0XcvR1SOM0hwHtL4Z3l/cfLjpTgfebdxlhjYDHSHObD647WDN9ZI6TOMPLUhyRwTcideqwXvOyoX/qjHdG46F70SRSCtUUb+mIsCgf1qMPa5DvrMFpjjME9ZAzhn+SbfjDMtEVPxobsUFjjrHWeEfXgXgjBoxPIgGcfQvAoH79ggJRwUJEUInXpZ8RVegAAEABJREFUiz6RDdlpA4b0RwSEyAr981xFCMQKAjFHBGJlYqSHEBACyYMAhp3IBj8L5jzDdddd5/8joRD+STqSR4JU1auEEQImIqCXQAgIgbhDgOgDHj9REq7jDgApLAQSISAikAgMXQoBISAEYhoBKScE9oKAiMBeQNEtISAEhIAQEALxgoCIQLzMtPQUAkIg3hCQvkIgSQiICCQJJlUSAkJACAgBIRCbCIgIxOa8SishIATiDQHpKwQOEgERgYMETs2EgBAQAkJACMQCAiICsTCL0kEICIF4Q0D6CoFDhoCIwCGDUh0JASEgBISAEEh7CIgIpL05k8RCQAjEGwLSVwgkIwIiAskIrroWAkJACAgBIZDaERARSO0zJPmEgBCINwSkrxA4rAiICBxWuDWYEBACQkAICIHUhYCIQOqaD0kjBIRAvCEgfYVACiMgIpDCE6DhhYAQEAJCQAikJAIiAimJvsYWAkIg3hCQvkIg1SEgIpDqpkQCCQEhIASEgBA4fAiICBw+rDWSEBAC8YaA9BUCaQABEYE0MEkSUQgIASEgBIRAciEgIpBcyKpfISAEkg2Bbdu22Y4dO5Kt/4PseK/Ntm7dasi714cxdhM9KTGmVsyrE5NEYPv27bZ06VKbOHGijRs3zubOnWtbtmwx7k+aNMmGDh1qs2bNsnnz5vn12LFjbdWqVbZ+/XobPXq0TZgwwTZs2BDzky8FYxMB3vPFixf7ezx+/Hj7448//N0/nNpi/GbMmOHrizW3YMECGzFihJe//vrL1xfrc8yYMbZp06YDEm3JkiX29ddf2/z5871daiEE+5KjQ4cONnz4cJc1Vv/wzqFbnz59rG/fvlyqpCEEYo4I8EKOGjXKvvzyS5s8ebKxGbVt29Z69+7tGw4b4yOPPGI///yzk4VXXnnF3n77bVu7dq0//+abb6xHjx62efPmNDSNElUI/B+BQYMG2RdffGEY4KlTp9qnn37qmzNk+P+1kvcKrxCCfffddxvGAWLStGlTe/XVV23dunW+1lhn33//vUEaDkQa1uqAAQN8/ULgxyWQ/QNpf8jqJupo9erVNnv27L3qctRRR1m+fPkS1Y6ty+XLl7tjhVaFCxe2QoUKcamShhCIOSLAxtCiRQsrWrSoXX755XbFFVfYGWecYZ988omTgosvvthKlSrlYcWKFStanTp1PGyXNWtWy5Mnjx199NF27bXXWq5cudLQNEpUIbATAbz/559/3t/x2rVrW+2Ewjv//vvv28iRIz06Rp1FixZ5pIDIGEabe3jqeLV471EUDSO9cuVKj5Zxn++MRMRs5syZRj+0517ikjlzZqtVq5YVK1bMvf8KFSrYJZdc4pGJI444wnh+3HHH2e23325ZsmRxQ4JBYXxI+Jo1azxKF3n9Ud9E8SAS+fPnd7IO4WFtL1y4MKrin5AedEBGPiEiPPjzzz/t999/dzn4TuEeRpxx+U5kkLJs2TLXD5mIMEb4RHXoh3ro36VLF2vXrp0hB/JBVmizceNGO+mkk+yYY46hme81U6ZMcRLjN/7+wxj0hdxgStQDpwbZIBl/VzNkoD34R/eYQ3RkbijsgTxnvvYVbUFfMGFc+mFc+gBv5FixYoVHTMEEWdCLa+oyB4zJd+apSZMm9uOPPxptSpcubWXLlqWaF2TAGWMcCtggG+8U+HDPK+pPiiIQc0Tgt99+c2Z+yimn+AaTKVMmYxPKkSOH/fTTT5Y7d26rUaOGh+p4idOlS+cbA9EDFgLfS5QoYSGEFJ0YDS4EDgYBvGyMB+84BhaDy+bMe09U7I477rBbb73VBg4caFdddZW98MILHg177bXXPGqGF//ZZ58ZkbI2bdr42sCgf/TRR1a/fn2/j3EjNP/BBx9YvXr1jKjD3mRlzWHou3XrZhiznDlzepSOiB1GNn369IZB79y5sxN1+mf9Eka/5ZZbDCN/ww032Oeff+6pvU6dOtmbb75p7733nqf9MCjdu3c30gukHSKjglEjCkjdOnXqWM2aNQ29SPsR8Xv55ZftjTfecL2JSFCPSEXz5s1dzo8//tgefPBBQ+crr7zS2rdvbx988IHdkYDd9OnTPaJBP++++67Xw1ASDqcQnXjuueccq0aNGtnABJzBCB0x4i1btnTCQP88i2TGiCIDuKMvejMPyAmRY07nzJnjsiDfk08+aRhZoj20gfyhM4Tu0ksvtWbNmhnjP/PMM7tNDeTi22+/9YhpgwYNXL7oHmSRObjnnns8RXrjjTf6PgluOFVgCOGh39dff91atWrlzlXXrl1tyJAhRrQVOSBmEBIiQWCEDg0bNnTyw9zVrVvXeLfuvPNOJ6emfymOQLoUl+AQCwATZ4PJkCHDrp4zZsxobEJsPhh6GDrXbGDUZ6Ngc2JD4Vnitrs60YUQSAMI4HHx/vPOR+LyPVu2bB6yxdiwFnjnMRgnnHCCk14iB6eeeqobSLz4Y4891nr16mX0g4dYrlw5u//+++3XX391o4zxO/vssw1jQjQNry9xwWNEFqIAGDuMJONec801hoHDYBG1w/CTxoO4hxAMI1WyZElPHZx//vmGUerXr59NmzbNBg8ebBgUjBBRBSJ4tDv33HM98hFCcJUhCNTFkD377LNWvHhxq1y5skEkCNFXq1bNhg0bZnixrVu3NogBxg1Dxx5w4oknGvvEvffea5UqVbL+/fvbfffdZ2XKlHHDBy4Qj3POOceJEvKB5WWXXeakA8OaN29ea9y4sUcj8crBkH7AhPu33XabgQsFoYlAIhsYkbrEecGzh6Blz57d5cUI00/16tUNQoLxRc56CWSsSpUqxn7GuBAE5o/7eP70H5Vx48YZRIJoKONBHIkUMa8QGIgbHj/9URiPOSTkj3EnCkAdMGc80h5gBGE666yzHDfa0AckrU6dOk4Y+A4RDSE42WJueN+QL8IgklGfhx+BmCMCLIAQgrFRRXCyoAhD8fJzjzBdiRIlfEEceeSRHrIkWsCLzUtNHRUhkBYRwIBgiDC0kfx48KwHDC+bO58dO3Z0I4dhYIPOkyeP57cJz7OGTj/9dPdqMUIYejz3AgUKGF4+UQY2fsLIeO9E0jC8AxO836hgaPGAiURcf/317gFitPCqMToYT+SAMEC8CxYsaHiKtWvXdmKCQaRtkSJFjPFZvxgMCA1RPgwT+uH9oy/XUSEScvLJJ7vxZE2T6iMiQR8YXFISGH7a4olH42DoqYOu+RJy+mDCeOhNHWQiigjhARdkgERAMnAoMJTIyPjoA1lhPL5Dxgj5ows4XHjhhU5OqI/cYEBd9KU+1xhq8GZ85gXZeI5cTz/9tEFYuIYU0D9twIYxGB9SgNz0HxXmimv6BBcM8i+//GK0oz26ozN1KMjFJ/0jN31ivEmHMDb30Js5oC6yUxc8wJZ++V61alXfk3l3kI22yEAb+ldJWQRijghg4GHMeBZsRLykMHiYKx4McLO42Og4TMUnbXhhqZN4EVBXRQikJQTw1EgLEDLGeOCBkrvm7AtnZdh4MQB4gnjKxx9/vIfeIccYLjZyPGU2bwwl3zF+eNkQCnK7EGtIAJ4i3ife+tVXX+1na+ibgoeM0QI7rmlPX4zHWMiFIYV4Y1gIe7NWMSwYGQwJ3if1WMcYIMgNhp37jM991isGlme0YzyMEkYIuTGEeO4YVaIbRCAw4siD4UfHKGxP+/Llyxu5c3REHrxb+uEZn3xnz+AXD3xHTvYO5CaPjlxEAMCJNhh66lCYgyiMzoFOzhggL4WxGBPCwnf6Bm90oS/64RAehySRn76JapI+KZkQQcGwQhSoi4yMF8mBrvRJIX8PXuAYQuCWp06JLvBOEN7nJvowJrhCfBgLMkk6gHnFmIMTY1GXOeQ54yIDeNMPaQXmi2dgS33mBr3QEX0Zh7oqKYdAzBEBNpvHHnvMD0sRFiTMxsv51FNPGRsdUIcQ7LTTTrOXXnrJWFRsSA899JARiuS5ihBIqwjw/pMfJtLF+//EE0+4KrzrbOB84d0nPwsRIBd98803G94ZHiE5XIwcuWy+YxxYI4R5CU2zyZOLxnAQ4sYQExLHECUuGGAML+MxDrlq0gsQDNYnnj8GlCgdshGix8gRjeD8AUYQA92zZ08/IAfhICSNfNynHp4v5xwgPBygY6yoYGiIOkCIWNuE8vmk3osvvugpD8bmfEC7du3srbfeMkgUhOOrr77y/DupBAwgBpt7GERkJKqCzuBMyJvDx/SFzDzHQ6eAI2F3CAtOB5EDCBP5fX6iTGQCPJCZQ42kJsirE03BUBM54ZwCBIH2nNVAvscff9ww5qQxSY2gA8YWPDiPwVwS5QEnyAF9QBws4R/kh7w95JD5ZE8kOnHRRRf5mQywhCwS/eAe848ckCmiBThZnCWA9DDfjMu8IB9yQw5Ir0CwHnjgAf/FyKOPPmrICU5EgJCJ8UnHkjKirwTR9F8KIhBzRAAseUHJj7G4OajCi8gLz7OosFHWrFnTv/Li84ITEfAb+iME0jACRLwwevxcjzVQv359Y01EKrHJ82sajApeGgfzomd463itGGbC6+T0MfoYa3LIGDrWFocMIQuExllLUfu9fUJOiFIwHs8JE+NVc01BFgwXBpo6nDvg+8MPP+wHAzHotK9du7YfcuOwIySEPjCukJQLLrjAIqOKcWZMzh6QAiENwDOMIJFC7p155pmezyZKwmFADtwxBk4BOXRIAJENSA/9Y+w4IAixgBhx2I9II+cILOEfWIEHuX8MMIYO4oOxxti98847Bk60A0MclMRzAinAu0cWiBoGHYNLKoX6zCXkh08iNjfddJM7MRzOQ646deoYp/fvuusu/383cPARwsG5BM434LXb3/9weMAUAoFM3IY0gg0GG7JHFAHigR7gwFkFIqrIj2zIxbuFTJAxDv8R+eG94TnRD+aHA6XswdThHhghEykJCB8677k3I4/K4UUgJolABCELlk0xhJ0hsOi+PoVArCPAxo+3zho4UF1DCO4x0w6DimfPJyW6xrDSN5/U+68FMh71hWdLtIDxKIzJd8bgO3lmrqNC2xD+v8ZpT1ic/5EPRol6GFcwoWTOnJlbuwr9g1UIwckB7RmPcfikRPcYP4Tg5xhoR3/29z/kR5aoHdfUoT0lqsvz6Prvpk5iqEP/tKEOJRqX66gN11E7PmnDZwjBc/2MSx3uR32GEKiyq0SyRjdCCEZEA88eokiKgJA9/YSwe1v6DSE4BiEE74Ix6ZPxaMM1D7hmD+aaezyn0AfP+Iz0oo5KyiCQLmWG1ahCQAgIgeRBgMge0QS8ZKIIkAAiDckzWuz0Cukg0sDP/4hmhLDTyMeOhtJkXwiICOwLGd0XAkIgTSIQQvD/Xwhh7yJFiriXnCYVOcxC47GTGoFIccbjMA+v4VIQARGBFARfQwsBISAEhIAQSGkERARSegY0vhAQAocOAfUkBITAASMgInDAkKmBEBACQkAICIHYQTQDG7wAABAASURBVEBEIHbmUpoIgXhDQPoKASFwCBAQETgEIKoLISAEhIAQEAJpFQERgbQ6c5JbCMQbAtJXCAiBZEFARCBZYFWnQkAICAEhIATSBgIiAmljniSlEIg3BKSvEBAChwkBEYHDBLSGEQJCQAgIASGQGhEQEUiNsyKZhEC8ISB9hYAQSDEERARSDHoNLASEgBAQAkIg5REQEUj5OZAEQiDeEJC+QkAIpCIERARS0WRIFCEgBISAEBAChxsBEYHDjbjGEwLxhoD0FQJCIFUjICKQqqdHwgkBISAEhIAQSF4ERASSF1/1LgTiDQHpKwSEQBpDQEQgjU2YxBUCQkAICAEhcCgREBE4lGiqLyEQbwhIXyEgBNI8AnFPBLp3726TJk1K8xMpBYSAEBACQkAIHAwCcUkEduzYYcuWLbPBgwdbq1atbNiwYQeDndoIgVSHwJYtW2zTpk27yubNm23btm275OT59OnTbePGjbvuHcBFkqquX7/eZs+ebYyVpAZxVon5YA7Gjh1rYPVf1N++fbvNmzfP97Dly5f/l67UNo4RiEsiMHfuXPv000/t119/tb/++svOOOOMOH4FpHqsIIBR+PHHH+2RRx6xZ5991j788ENr2bKltW7d2v744w9Xc926dfbJJ5/YkiVL/Hty/Fm4cKF16NDB1q5dmxzdp7o+cSxWrVqVZLl69+5tRCK7du1qY8aMSXK7vVUcPny4tW/f3n7++Wej3+QkeHsbX/diA4G4IwJslr/99psVLVrULrvsMitfvrwdffTRsTGb0iKuEQgh2CmnnGJ//vmnRwQuvfRSJ7kQ3pdeesnv58qVy55++ml//wELI8bnXstB3ixevLjVq1fPGOsgu9hrs+SQda8D7XHz38Yl+oFRx9Pfo6l/Tdyea8hZ2bJlrWHDhla5cmWvwx+e8UlJfM33vRXqQLgKFy7s5K9WrVqWMWPGf1Sl3p4393YvqrO/Z1EdPv+tXuLnia9pq5K6EIg5IoC3/8Ybb1j//v09JPr999+7B0S4FOh5ITds2GCE0Tp27Gh4LwsWLDAIAs9VhEBaRSCEYEWKFDEMccGCBe2YY46xU0891erXr2+zZs3y8PHvv/9uX375pa1YscLPxrz55pv2yiuv2NChQ23AgAHWuXNna9u2rT355JM2Y8YMh2Lq1KnGmnr33Xdt9erVxvcPPvjAKO3atbORI0da48aNrUWLFoZnTMi7V69ehoFs0KCBGzyu8VibNGniKQPGo80XX3zxj7VHXcZ69dVXXW7W5vjx4+2tt95yWZFr5cqV9vXXX1vfvn1dDvTAu37hhRc83bdmzRrrmuBx8/y9996z559/3ubPn+/6jBgxwpCjWbNmtmjRImM/aJ0QNWGvQCauMerogn7PPfece9tEUd555x33vlsk6Prtt98acjAmxr1Pnz5GKsYHSfhDFAaMovZEY+gPOb/77jvHN0eOHAk1zUkaERzG79evn3322WfWvHlzT2HSnv6R//3333edX3vtNZ9H0pvdunUzxp45c6aBAwRjwoQJ3i9OT4Qbz9n/Bg0aZBBDsGc+veLff6jz9ttv78KZ9wX92E9ffvll152qixcv9n0VXJkvZKM/Iq2NE94FvqP7Y489ZnXq1PHo1DPPPOOEhbmZOHGiode0adPoTiWFEYg5IkA4Mnfu3PbTTz8ZL2vTpk2NjTFTpkwOdfr06e300093b+X888+38847z7iXLl3MQeH66k/8IYDhZMOnoH2hQoWcFMyZM8fD9d98840tXbrUOnXqZDVq1LCzzz6b7zZ58mT7+OOPLWfOnL52MES0+eijj+yCCy7wMDaGEFKNQWNNUUg14I3mzZvXMHb0DcmmnyxZsni/Rx55pHurVapUcSJBKJuIBQYOA4KcFAwrBuK0004z5P/qq6+crH/++ed24YUXumy33HKLp/SGDBniJIS6kBiMImsaeSArEBJ0LVmypKcBGQcjDMG47rrrHAuICnhBGKZMmWJnnXWWQULAAmJAVOPyyy83DO+oUaM8DE+/kCyIBqlFyFbFihV9L4k8ckgDWJYqVcpuvvlmN9CQn6uuusoga+hONBKdGR9DCymoXr26gflxxx1n6Md+dvzxx/s12IIHROiEE04w6pYuXdouvvhiq1SpkoH5ueeea3ny5DF05RA0n3feeadlyJDBSR4kgPTRFVdc4emJHj16IIIXxqX/2rVre30IAWep+IQ4Mp+QJORt06aNgSsyE1mlHu8E7wayQZQYk/cCclmzZk3Lly+fp6SyJLwTlKOOOsqIZvjg+pOiCMSc9StXrpyxKNlEyJ2xabCBhBB2AU0q4K677jI2pUcffdSOPfbYXc90IQTSOgIh/P9dR5etW7e6J4+hZuNlQ8eAV61a1X744QfDQ8OYFihQwE466STD8N1xxx3u3WO8MJ4cqMX4QSqoV6xYMScH11xzjdEPhhjDwGZ/xBFHWObMmQ1yTWSBQ4MYtRCCpyrweEePHm3ktzHc2bNnR0wvjEV95OGswwMPPOBGEA+9QoUKds8993gEAaNNeB0jzJrnGQbznHPOMRwByAgGF5KD0X3ooYec7OCJowcGGtnnzp3rXjdEBQOGPFxjyIl0IA9y4jCgGxgiGzjhYCA0Rg080TmEndhzgI8UDYaasSBSEAiMI45HtmzZnBjRPoRgJ554okcFcF4wmsxRngSDDobogcFFr/z587sjgyFnfIhH1qxZ3aCiD3rTB2MQFUAX5gv92fMgAsgFaUJfxkAGCgQDT53ITQg7ZWI89EZn5pn6nEMYOHCgkzDGOfPMM32+Mezgf+211xo4UY+55R6y33TTTcZ3UlXIAIb0x9gqKYtAupQdPnlGZ/HgEfCSQgRYHGx4eAeE+5JnVPUqBFIHAnhsrAEKJAAPEE+bfDQEmRISNnoMKUaStYLXRju8zkgLjD4eMYYOr5O8Px4z9eiDeoTVOWxLwUOmL4wizxgfA4AXTNibNhgtjBp9Y7juv/9+P6dDfQr1CTVjkJAFTxPjQQifAiHAyGCguKYNBZn4pKAzY1Hog0/IBW0YlzRDdB9CQ/+0iwr1MeroAUZ169a1W2+91c9VME4IO419CDs/qc+YGD6u6QfM8ObZe6LvGGQwQe4QdrblGQW5IACE1PHA6Yd6FOaOlANjU5c++KTwnO+MwxyCLxFP9EV+yAdpUMgeXj3PQwjGvgipKlOmDN14QWb2TN4JdMaBAgfGDWGnvCEEJ3hgxnmUe++91+rUqeMRBGS2v//hZEGmIJKNGjXyaAAEER0hh+PGjTOI29/V9ZHCCMQkEWBRstnwQvMiw+hhx7BwFmcKY67hhUCyIMCGTa4Ybw8PntA0+X9yyPXr1zc8Z1JmeH6EuQnvQpAxNKwNDArrhDwvoXLSBtWqVTM8WkgA+WmMC2OwkePVY/wwXIyJIcDj7dmzp58/IL+MokQY8Ew5t4AHe8kll3honz4JJ2OgqUfBs8cAPfzww54jh2jgceJtErInNXH11Vd7ag85GAvDTt4fbxd90A9vHmNICgJ9fvnlFw+l33jjjYZBJu8NcYGMQDbACx0IldMf34km8PNiyArfCZ1TunTpYoxFlINPQvzoipfM3oMeRB0gTaRVmAdwImzPXHBegzMURCOoC260JSyP8YQMgRXPOCtA3j7ShWvOeODQYGSZB/pk3ugXeSBMyFOiRAnH6YYbbvBfj/BTRfRlDIw3qQSMP+NQiKRinCEJpEJIe4Ar+IAVUR8KURLmiPMIGHV0I5VCXXBCH3QDT94j3jNSHyEEI1XA3sx8oifjqqQ8AjFHBNgMWSR4MCwENjdCYLz8IQRjQ0p52CWBEDj0CIQQDM+SfDq/DCBUj9Ft06aN55Ex4oRjORuAx3bbbbd5qJ4cL9esFULthLMxBrRl0ybfy6aPl0ga7eSTT/aDapUqVXJDgzEgdEyaDbJBGB3jS+gaLQltv/76605E+M4aJEKAp4hXiqfIfQrEncNmGHyIAsaJ0DSEhsgCMuGFoicH/jDspDs4EHf99de7146hvvLKK+nOIBHIzDgYdmSBfJAHpz8+CU9zGBKDiYEifYChYyxy4rQlFA+eHFCkDYSFMcGTkDkkCewgOgwMsYLMUCBSpDhKJBhm+iA1wljUoS64X3TRRQbBgTShP9hxloF7hPU568ScMT6hd8ZBF84A8JzIBWc6OPsAbpAm5oKDkvTHOQFkhqBw9oFzGJxd4NdTyEAh+sOBQHSBKKAPeyckCh2Rkf4gbjxnDu+77z6DLEKGkAW8iVJAtpD/xRdfdOMPYYHUQRKoQ18h7IwyMLZKyiIQc0SAwyq8uIQP8U4IqXFohoXCy5iycGt0IZB8CIQQDOPMpo03ijEjfItxZVQMDsaAexxGIyxevXp1/2UB6wYvkv/RDV4hIeMQdm7UGB36xTjRB9eMQR+EkjF0GH/O3oSw8yeMjIGhYtwQghGSpi3fKXiDGDaMPN8TF/pETgxn1IZQNGSDsamLoWEM7mFckYf+eB7dIw9Nrp579EU7CvsC+LAncI2cpDYgONSlPQQE4gRGPGN89IvGJKdPCJ56yAhee+oSQjD04NwBOX/GIj1DH8gbef3IhHFFJu7znQJhoj5kDLKEnrRlXEgERh1jDcFBNvRAHrx8njHvzB3yM3f0SUEv+qE+3xOXEHa+Q5CIEIKTN3AFG0gPY6MruvCeQABCCH4YFdlpxy8RiAQQPSFagBzIAInh/2/B2OCReFxdpywCMUcEeEGJBrCggZZFyiJmUeH1cE9FCMQ0AgehHISZjR4PlFTBQXSRqpoQSsdAYsA4D5CqhItxYSB5RAr4JDoLSYGgEGnijACHB2McgjSnXswRARgwzDpiuxADvBVewMSsOM3NlAQWAsmIAJs2EQTCxWzYyTjUYekaD5swO6Fywv2HZVAN4ghEER3w55wW7xMRDAgA7xh7tFfUn1SDQMwRgb0hG0KwEMLeHumeEEjrCBwy+UPYuUZC2Pl5yDpOgY5CCL7mQ9j5mQIixP2QIQj7tPISxAURSCuTITmFgBAQAkJACBxuBEQEDjfiGk8I/BcE1FYICAEhcIgREBE4xICqOyEgBISAEBACaQkBEYG0NFuSNd4QkL5CQAgIgWRHQEQg2SHWAEJACAgBISAEUi8CIgKpd24kWbwhIH2FgBAQAimAgIhACoCuIYWAEBACQkAIpBYERARSy0xIjnhDQPoKASEgBFIFAiICqWIaJIQQEAJCQAgIgZRBQEQgZXDXqPGGgPQVAkJACKRSBEQEUunESCwhIASEgBAQAocDARGBw4Gyxog3BKSvEBACQiDNICAikGamSoIKASEgBISAEDj0CIgIHHpM1WO8ISB9hYAQEAJpGAERgTQ8eRJdCAgBISAEhMB/RUBE4L8iqPbxhoD0FQJCQAjEFAIiAjE1nVJGCAgBISAEhMCBISAicGB4qXa8ISB9hYAQEAIxjkBcE4EdO3bY9u3bY3xtLptCAAAQAElEQVSKpZ4QEAJCQAgIgX0jEHdEAMPfr18/e/LJJ61jx45244032q+//rpvhPQknhBI87pu3brVNm/evKts27ZtnzrxbO7cubZw4cJ91onXB+vWrbORI0fa2LFj/7OzwJ4zY8YMGzJkiK1atSpeIZXeqRiBuCMCIQQrUKCAbdq0yY477jgrX768jRgxIhVPkUQTAklDAIPzww8/2H333WfPPPOMvf3229ayZUubP3/+XjvYsGGDNWzY0L766qu9Po+lm1u2bLE1a9YkyahDpnr06OFEoG3btjZ9+vT/BMXw4cOtW7du9tNPP1n//v3/U19qLASSA4GYIwLr16+3oUOH2p9//mmE/ufNm+ceP4sbAEMIliVLFitevLjlzJnT/vjjD6tYsSKPVOINgRjTN4Rgp59+ui1dutSyZctmtWrVsj59+tirr75qGELUjT65pk7GjBl3PeNe4ud8318hosAaS1xnX+0T14OwJG6zr+u99U9d7vMZFfre8x7PuB99TpgwwY0w5Id7iQttKdG91atXu9E+44wz7Pnnn/e9InrGPoL89M1ndD/xdXSPT/pt166d5cqVy0lXjRo1HG/a8zwq1EvcB8+5Fz3f85NnievznDZ8Ji7Im/j7ntf0Q6EtdflMXBiD73u20/fYQiDmiMDUqVMNNv/tt9/axo0brXHjxk4MEk8bGyVRgE8//dRq1qxpJ598cuLHuhYCaRKBEIIVLFjQjjrqKCtcuLCdeOKJboCmTZtmGEBIwWuvvWYUCHK6dOksQ4YMxj8iZD179nTS8OKLLxopgzFjxtg777xjX375pX300UfeB3UxDhMnTrQWLVrYs88+a4S9WWu9e/f2vukfIs4YRCUGDRpkL7/8srVp08aGDRtmDRo0sO+++87Wrl1rGMlOnTp59OKll16yFStWGIaJNvQDiVmwYIGnL4hucP+FF15wmZAZL79169ZG28GDB9vy5cu9L/qkbYcOHTz698EHH9j7779vv/zyCyrsKr/99pu98cYb1qRJExs9erTr2KpVK5eT1CGORdasWQ1jCI7oDDno3Lmzvffee/b666+7YUe/r7/+2kkY/bG3NGvWzJANmcGGVAPpAeRHtlmzZrkcpB/efPNNa9q0qUdv0J8IAvWQwSsl+jNlyhTHnjY4Mujw7rvvGrqS8kTOaI6Yv6eeespmz55tkyZNsg8//NC++eYbH2v8+PGGjI8//rjVrVvX9Xn44Yc9okS6CKyefvppW7x4caLRdRmLCMQcEahcubJdcsklHgYkFIeHcuedd+7a8GC9c+bMsauuuso3Jz4zZcoUi3MrnXZHIG6+hRCsb9++9tBDDxnvOoad8DRG6MEHH3RD+9xzz7nRBZQQgs2cOdOjB3fddZdhoCAFpBQwMBCLsmXLGsSB+hBp0gkXXnihh9oxsBg7InEPPPCAG14IAkaUVAUykIKjzaJFi+yyyy6z9u3bu4FBLkj7scce6zl0DCeheAztLbfcYvTB+l25cqUTfAjGpZdeat9//72H7DF0kB9ID8Yco4VBpo8yZcq4cSPqccopp9g555xjZ555Jip4wWBCNjgnVKlSJQMn5AMD5L3mmmusSJEiXhfS0bVrV3carr76agshOOEi1J8+fXo78sgjDeIEYYA0ISd9XHnllVahQgW76KKLvC+IzxNPPGHoA3EhUvHKK6/Y9ddf78Ro4MCB1qtXLydi1atXd2JGvy5Ewh8MNEQD7JctW2bNmzc39jQIQ+7cuX2OeM74P/74o11wwQWOIfPNfII7eCHvxx9/7GSRd4L5P//8861QoUIGyUNvCAk6cC9haP0XwwikizXdQgjGwmfBwGgbJ0QEWKh4J7///rsvGs4IEBaNNd2ljxAAAYwR6S7OCmAwq1SpYnh/xxxzjGEs7rjjDjcOrInIuJMqw8DhsWN8uU/dI444ws477zw799xzLXPmzHTv6TQINv1hYPBCOXBbokQJy5Mnj917771OxDGe9FupUiU3hhigk046ySDr1CMigJHBOGMwIeUYRgwkdUsk9Pfoo48aUT4iBRgvDDrGifM9eP/Ii0GfO3euEcrPnz+/5cuXz8qVK2fUxaAhNHsA+0IUAeEenjgh+5IlS1rVqlU9ioLnnD17dnccqB9CoKrhLJx99tlOViAZ1M+RI4enYEIIrjeRA/YVxj/11FMNY801WDIuWOB5Qx7++usvQ6YBAwYYJAgsOa8BySFags548KR3MPQuRMIfZCYiEGEEQQNLyBqEA53pF7JGhAMycPTRR9tZZ53lKdGiRYta9QSCcfHFFxtzy+FF5hJM6Qcihw4QQd4DUk3Ib/oX0wjEHBFgtmCysF/ycWwmbIIwZjZFNg8WAQuOxU19lRhEII5V4v3HAGEMMYwYBt71yZMne7qMjR8DyRkZQshs9IT38d5LlSpleNLch1BQ9oQSg4eXTxs8W0L3jIFBJkUAAcDIYCgZK4TgofXE/SAj33mOMWIcCus1b968BmnHWGKMuBfJSp2oQEyQBQOLF3/dddf5uZ9IdvpPXJCL/qJ7EB2MOiSDNmDF2DznO59R4XuxYsUMsoTOpDm4h5GmcK4A3ZGNNtEn19TjOwacfYh5wYBzD8IDmQFPPHwMOHKQ2iEiUqdOHU/30A8F4sJ8Qc7QGXJCP4zBcwrXzAf4Ex2FmFWrVs3JDc8oWbJkseOPP969f9IWjAXR4r2pX7++kQJhD0UO+lSJbQRikgiwMAkDwo6ZPjYAIgR4HkQDuKciBGINATZ4wsqkADDqhHgxEnijhIgxeGzw5IjxVlkneJ0///yz56a5xlvFWGLU8Tr5JF9NPxFeGF48SH6ZQJ4co4LBgWQTqib8DNnGuBEpIKQ+atQoI5fNT3ch5Hi2EBMMFoaQfohQXHvtte6x4pWSA//ss888xYHxpQ2y0AepCPq7+eabPd/NuQMM7bhx4zy1QVqQs0J8J3eOQUMWvkd64O1yPohQPekECBDe8yeffOJhfrxpDDz1ISz0h25Llizxsxd48WBIvp9IAtdgRnSC1Awy0weeOZ4/pAOd6QeDz3ciC6VLl7a7777bzz1A2DDw4FWvXj0jVQCpQgYK0R2iM0R7OFPAmOhKJIW55xwI84/c6IJupEz4OSRRBjAgRQMR43wB8iIP+pPa4R3iXYGoMC5kgnFVYhuBmCMC/IaanBqeDV4EGxjXLDhykXgRsT2lcamdlE5AIIRgeK3kocl9Q3pDCJ7PPuGEE/wQHWFhct/k6fH+Pv/8cz8oR1idXD/3MRwcICNvjQHDKCR0v+s/jEOjRo3cAD/yyCP+E1y83LfeesvIM+OZQwzwODGcl19+uYfe+Ske45Ae4AAixJzwO4bttNNO80OEjIWXTJ4b7/v222/38zysYWSFYGA4OfTGWMjbpUsXb8sz9O/evbsffiMcTpid8wMYNw7GsQ9EiuD9c5jx/vvv91w6pIIoAV42ZIm8PoaZ+pAd9GI8xsHLRg5kQj8MLmlIwvOQKQw7bUk7QEQee+wxT7G0bt3aaM8ZCs5wYKwhHhAoDD/fmStwo85NN91kRD2QgcI1c8uBRupTF0LDnKMbBIHxSDdA1NAZWUgVMffgAfkhegHxQX8IBfNFFIZ0DXsm6RzSGyEEhlWJcQRijgjAdCEDbAghBP8fqxDGI4zJxhHj8yn14hiBEIIbZTZxjG2Rvw+6RZCQA8YQk1/nHkQBw0V9jCKePs/wxlk/GDqe8xnC7gYBQo3RTjwG/WOUMEIhBMOoYYTpn3sYI9pwj3MChLnx4jmciKHnvAByUSDxRPTwukMInr+nDfJg/NAPWYl2IANEJJKbcRiDwjXPMKD0xSf9Jy70hYzoRH8YSr7TFgJA3RCCEbKHsOCVE8ngPjl35EIXMIx0ZkzkATv6og76gTHP0I8oBf2EsHPeeE6fFPpDfvrge+ISQjD6pS/SBGDCGERpkJlrwvzoAt4RTpASntMvaRcICxEfohPoTj8QEkgL/fN+JB5X17GLQMwRARYuDJ8XnmnjBefUMQekYPjcU0njCEj8mEAAr7R27dp+qI50REwolUaUgOjddtttfqaCtAGkAoIF0SHqQXQhhN3JXxpRTWIeBAIxRwRCCP5yw4bBI4Tgp4jxGqJ73FcRAkIgZRFgTfJLAVIVeLApK018jY6DROSAtAaGn6gB0YeaNWs6MSNlE1+IxLe2MUcE4ns6Y1J7KSUEhEAyIhCCPP9khDdNdC0ikCamSUIKASEgBISAEEgeBEQEkgdX9XqwCKidEBACQkAIHFYERAQOK9waTAgIASEgBIRA6kJARCB1zUe8SSN9hYAQEAJCIIUREBFI4QnQ8EJACAgBISAEUhIBEYGURD/expa+QkAICAEhkOoQEBFIdVMigYSAEBACQkAIHD4ERAQOH9bxNpL0FQJCQAgIgTSAgIhAGpgkiSgEhIAQEAJCILkQEBFILmTjrV/pKwSEgBAQAmkSARGBNDltEloICAEhIASEwKFBQETg0OAYb71IXyEgBISAEIgRBEQEYmQipYYQEAJCQAgIgYNBQETgYFCLtzbSVwgIASEgBGIWARGBmJ1aKSYEhIAQEAJC4N8REBH4d4zirYb0FQJCQAgIgThCQEQgjiZbqgoBISAEhIAQ2BMBEYE9EYm379JXCAgBISAE4hqBmCcCO3bssDlz5tinn35qffv2jevJlvJCQAgIASEgBPZEIOaJwKJFi+z111+3dOnS2eeff26jRo3aE4N4+i5dhcC/IgB5/tdKiSpQn5Lo1n+6nDx5sjVs2NCmT5/+n/qJGm/ZssVatWplrVu3tk2bNkW39SkEhMDfCMQ0EWADeOutt+yUU06xO+64w3Lnzm1//PHH36rrQwgIgT0RmDdvnv3222973t7n923bttmIESNs9erV+6xzoA+yZs1qM2fOtHXr1h1o073WDyHYqlWrDN32WkE3hUCcIxDTRGDWrFnWp08fjwZ0797dJk2aZNmzZ4+fKZemcYnAsmXL7KeffrIxY8bY1q1bDW8dI9i7d2/79ddfHRMM44QJE2z+/PnGfdJnf/31lzVv3tw9Zwzx4sWL/Vn//v13GXr6Zk0NHz7c1q9f7+vrlVdesdGjR9uGDRu8b/4sX77cBgwY4HKsXbvW1qxZYxMnTnQi3qtXL0/XUQ+y/ssvvxjrk0LEDsKeI0cOCyFQxev+8MMPNnXqVIN4cHP79u02ZcoU69Gjh40cOdJlGTp0qEcR8PqRmfEhKCEEy5s3r2XIkMH3APpaunSpE55+/frRnUcKxo0bZzxDb7+pP0IgThCIaSLAZlWkSBErVKiQ/fnnn74ZHXPMMXEytVIzHhHAUH/wwQe2YMECa9asmbEGuP7yyy8N40earE2bNm5cuR48eLB79LShLQQAg851y5Ytjc+ePXta165dnTRwD8P+xRdfOAnAaLK2MMwR3rT/7LPP3NC2b9/evvrqKx+vcePGNmjQIDfcTZs2tRUra9lKSAAAEABJREFUVhhyff/99/b7778b9yAQUT98Yvx//PFHX7stWrTwSAH3KaT9nn32Wb+3efNm14P29PPzzz8b7bp06UJVQ74QgpOiJ5980okLfTdq1MifQWTQnXTEo48+avTjDfVHCMQBAjFNBPCCzj33XKtVq5YVLFjQjj/+eIthIhAHr6tU/DcEOnTo4FGAW2+91R588EE76qijrF27dpYzZ0675ZZb7Pbbb7e3337bMJyZM2e2s846y+rVq+cedQjBjjzySKtQoYKVK1fOzj//fDvxxBPdCBM5wHvOkiWL1a5d2+rXr2+lS5e2UqVKGWT79NNPN0L6yIfnTb+nnnqqQRrI+WfKlMk9fO4jF+OvXLnSMNYnn3yyXXHFFT7mCSecQBdusLn4+uuvjXGJZIwfP95JBPc581O9enW76KKLPAqwceNGq1ixosvLuMhOamH27NlU31XKly/v0QGiBshOhBBZICxEKiA1RCiIXuxqpAshEOMIxDQRyJKwabFh4BENGzbMrrnmGkufPn2MT6nUi2cECIVjAEkJYMTz5ctneM4YPrziMmXKWOHChT2Mj8FmfYQQjLUSQnASQfidkD0eMgYRAs1z+qaAL4T6iCOOcEIR1ec+hXE4izNt2jQrWbLkrr4zZszoZCCEYJCQEIKTE8gA6YaTTjrJkJdURiQXnnnlypXtrrvuMiIZ55xzjiX+V6dOHScTAwcO9MgfYxD5QG7IP+NQn/4oIQRPL3CNjsiOvOBVo0YNu/feez3SAU60UxEC8YBAulhW8owzzvCUQMeOHa1s2bLuPcSMvlJECOwFgfPOO8+9ZkL9hMXJ+19wwQV+NoCcOYUoGSSAiBnGHqM9Y8YMI8yPIcbzxivu1q2b5cqVy73zuXPn2rHHHmsQak7gk88nSkB9DC8eOykBRIKIMDaGlkgA/VOoTz+c3aFAUJYsWeKkhNQAdWnL/Tlz5nh6gwgC6YshQ4YYxCKEnecGGIdCVAKdqRMRE9IXGHb6IyIAeWF89CVCQaqQVACRCp6BEbqRtuBcBbLIYQBdlXhBIKaJwGmnnWZPPfWUhzJvuukmy5MnT7zMq/SMUwTwqps0aeKn5AnZYxwx/KQKOAzHGsDrxUhTF8NMIRWAIb/ttts8fVaiRAm78sorPZpA2J+1xK9vyMkTYSMNQJ0yCRGGOgleOeF1yAWwc9DvqquucgJRrVo1w4snIkE/kA1IB+kHDhCSsiDiQIge+b799lsnJIyHPJdccondd999Tug5RIhOjBEVPHv0ufPOOz3kny1bNnv44Yd9bCIJpAkgBegNFhANdEBGIiOkKYgi3HzzzVapUiWDgEAuIDjRGPoUArGOQEwTATam4sWLG4WNJg1PpkQXAklCgHce4/v8888boW5C4xhtzsk89thjdvXVV/t5GcjBq6++ahAEDP5rr73m9SEEHKAjl855AkLyZ599tt14443ejrz8yy+/7OduWFN43Y888ojVrFnTMKgIyb3rrrvO7rnnHqP+/fffbxh0xrj22mu9L65LJJAN8v/IxZgY9KOPPtrw8N944w2DTHDanzMJ6IMc0RiMExXaVKlSxX8dBDFgDAw8MtWtW9flbtCggUEAihUrZpxJ4P9TwHP0gxAULVrU0wI4Dscdd5z3FfWvTyEQ6wjENBGI9cmTfkIgLSNQoEABN8r8/JD/3weheghKWtZJsguBtIiAiEBqnDXJJATiAAG8fcL+/JyP6AFRA+7FgepSUQikKgREBFLVdEgYIRBfCIQQLH/+/B6+J6UQX9pLWyGQOhAQEUj5eZAEQkAICAEhIARSDAERgRSDXgMLASEgBISAEEh5BEQEDvccaDwhIASEgBAQAqkIARGBVDQZEkUICAEhIASEwOFGQEQgeRFX70JACAgBISAEUjUCIgKpenoknBAQAkJACAiB5EVAROBQ4qu+hIAQEAJCQAikMQREBNLYhElcISAEhIAQEAKHEgERgYNHUy2FgBAQAkJACKR5BEQE0vwUSgEhIASEgBAQAgePgIhAUrFTPSEgBISAEBACMYiAiEAMTqpUEgJCQAgIASGQVAREBPaOlO4KASEgBISAEIgLBEQE4mKapaQQEAJCQAgIgb0jICIALipCQAgIASEgBOIUARGBOJ14qS0EhIAQEAJCAATikQigt4oQEAJCQAgIASGQgICIQAII+k8ICAEhIASEQLwiEPtEIF5nVnoLASEgBISAEEgCAiICSQBJVYRAWkFg27ZttmrVKlu5cqWtX7/e/vrrL/++ffv2A1Jh7ty59sMPP9iGDRsOqF1UefHixdanTx9bs2aNbdq0yfuaPXt29DhJn1OmTLEePXrsVpe+evfubTNnztzt/n/5Ajbjx4+3oUOH2pYtW/5LV952x44dNnHiRHvvvfdswIABfk9/hEBqRiDWiEBqxlqyCYFkR6Bdu3Z255132r333mvVq1e3xx57zB566CH75ptvDIO3PwEwYBAH6qxevdp+//33gzKM9ENbDOHy5csNcjJr1ixbsWIFXSe50HbatGm71Z8/f741atTIxo0bt9t9DDikY186bt261dauXbtXDGjz448/Gtht3Lhxt34P5suCBQuse/fulidPHicXB9OH2giBw4lAzBEBNrBRo0bZH3/8YWxIeCETJkzwzehwAquxhMDhRgCDW7FiRfvkk0/skUcesZIlS9qbb75pLVq0sNKlS7t3vmjRIvfQkQ3jieeO8ccADhs2zL744gtbmRBNoH7dunUtZ86cHhUgMsB9jC1tKdyjvyVLltiyZct29RtCsHz58lmhQoUshGBZsmSxO+64w0488USa+VpcunSpE4PNmzcbaxYZkAeywDXG+ZRTTrH77rvP27CWqZcjRw479dRTLWPGjH6fP7QbPHiw9e3b19atW+frnqgIY4AJbdkTMPToy3eeIzdt06VLZyVKlDD6DiHQ5a5CPXSERKA/5IT2yMIz5CTywrjco/Tr18/3n0svvdSefvppj8ogC7pGHUd9IR/3ICpgSJ9837Nwn+fUZ3zGZM64x2dUn/GRl7Goi1w8ZzzG4PnChQsN3ZGJ9hTq0Sa6jvrTZ3wgkLaJwF7mCI+BkOS3337rG9pLL73k3gOLZy/VdUsIxAwCGLQKFSq4EQ4hWPr06Y1/GGUMHYa+U6dO1rp1azfcGE9C7xCH0aNHW4cOHQzPeMyYMUZp3769pxdo8+WXX1rXrl3t9ddfN4whhftdunSx5557zj766CPvk/ESF2TCuLdq1cqmT5/upKJnz57WuXNne//99914//rrr/bqq6/6c8anP8gA8mG8WbszZsww5KFMmjRpl26MhZFEJ7xw1v/UqVOtY8eOhszUJ50ASUBWUgD0RX2eoxN97K2QHol0pL+ffvrJnn32WScu/fv3tw8++MDJDDJ+/PHHPt4vv/xi1ENXyMfw4cONZ23btvVUCbIgA7KAO6kD9CPC0atXL4twSiwP0RXkb9OmjfeNgf/ss8+MPtDjnXfeMYz9n3/+aWDGPCLv3IT0DmPTL2Mx/+yL6AxBARuI3wMPPODY075ly5YeCUo8vq5jH4GYIwJ4QWeccYaHAdkYChcubJdddpkRGSCvyKLDK6BwHftTLA3jBYEQgnvge+qLp8daGDt2rOXOnduaNWtm3bp18/x15cqV7fzzz7dcuXJZkSJFPHJw0kknubEnZ47hwhBhvM4991yjDww33/mkLZ4/HmWBAgX2HNq9c9bZiBEjDE8VObiuVauWZc6c2SAgxx57rM2ZM8eflypVyu/RH0aduhg5DBih9tq1azsJwBhGg2XPnt2OO+44O/300+2II45wsnLUUUdZjRo17PPPP7eBAwda2bJlrVy5clapUiUj3UCko2DBgvbdd985ZiGEqLtdn+jKvoFnXzIhukKUBL0hNuA4efJkJ0q//fabnwkAH7Bj/ylTpowR0SAaecIJJzg5gzyQNiBKQ+Tm+OOPN0gN3jmGnYEx5KRzuKage9OmTY12eOsvvPACtx0jvoP/V199ZfPmzTMMPDjmyZPHIAfMz6BBgzxSU61aNZ9v3oUrrrjCiA5QD5nBGMLGPeaQ+fBB9CduEEiXhjRNkqhZEsKQbAywYRYt3gXfOfgEU+ZlhxDgcSSpQ1USAmkYgRCCe4sYJN75lStX2jPPPGMYqwsuuMCaN2/uRgUDTLg9Q4YMljdvXg/nRxEFQuYYTYxhsWLFPPxOHYwU6QHgwUhmypSJy10lhGCQAPrMmjWrYWzw+KtWrWoY6hIJ4XjuYZRZoyEE45M1HELYJQPjYHQZo3jx4la+fPldY3CBnMhOWwwm3jiGFqNPG8ZEB+rwCUFAJvYH2u+rYDxp8/LLLzsm6BzpyFg8oy19Fi1a1FMfOB7cp1Dn+uuv94ONjMWY7D2E5CFgV199tT388MPGMww5YXuclrvuuotuvWDsiSyAAZg9+OCDjil9R8SNuWFeiYQQqaGfBg0aGAY9W7Zsdswxx9jJJ5/sZAiiAImCBECeSLPUq1fPoxk84zv6+OD6EzcIpItFTTH2LLZrrrnGNxY2m/z587vHQBiREBsLNYR/egGxiId0ii8EML548uSRKRggPD0MOYbm7LPPdq8ao96kSRM3VISuMagYHDxePEf6YC1xzX0+MfzcZz0RCcAbxUBdfvnlu4FMO9rwieGhDfl42nHqH6MDMUFWGvKJAWNsxqAuhWueMTYHDumTcwrcJz9P26iwtjFi1MfL5TukokqVKn4uARloS7qQ8cGCfYC+6J+CrPRHH9TnbMO1117rqQ8iGiEE/xUGfdMO/ZCJa9pS+I7stOdgIzIRyWAe0B8dSY8gAykYcCR9Q0SjZs2aTpIYHzloSxuiB0RRIDg8Ywz6pzA2dTHuRD4YC4Me6cb5hhCCnxkBM1IyRBIgI7S7//77PTVAmgKixT2V+EIg9RKBg5wHFglhRV706HASixamzMYXQnCGjBdykEOomRBI1Qj8j727gLeqatoAPhsLGxsbuxW7FbsVuxW7u7u7uxW7uxvs7k7s7u7v/hcePuQFBCTuPWfuj3XPjhUzz9p7zTMz61ws/LxI3qQ9AAzQEkssEULY0gKPPfZY8GxvuOGGkqPnUfLOedqMs5CyzbbaiyQ49v4IM/M8hcxds+lMHV/zQwicA4YxdF9fQv/C69q5ttZaa4V6ctbOq6q7589jlcNm7HmwxuPdI/RC54zxAw88EML8vFyG1jjGQ2BENMjBmO+2225x//33l28BiAgIhUsZWBfsD+C9SzuIGupDblwUwSeZ9KnwsM8+++wiLwOrj3nnnTfoqq5zsulLqtEnXeFDR3gz4vDk8ZsX6872229f+kC+OClSBwz8iSeeWFIV0g5V1d1JcWzjp2gmzJAIfcGd/PCggxSDMD+CIcpDdpgjCiIiCCEZ4aqtFIR9GmSSFqqlP5AJumdpLATqjgh48C0YFjYLhun0QngxvbRYvU+MGjt2P0siUE8I8JsfQXIAABAASURBVIJXW2218u2BpZZaKhABhmb//fcP3h+vEykWtl544YWDcRYlmG+++Up+XZ6bh480INM777xz+cqejYiu+Xoicq0Oo+vbBSIOjBQcGbc555wzfFthgQUWKPl7Oeull146yOFYG0aabPYKdOrUKYSoySsnzjiuvfbaJXUx/vjjR8eOHUsYvX379mXDHm9eW+MhAnQiZy06wXi6pg/GF8nhnfOCefnk1scRRxwRsBCOP+SQQ6LmEVdVFSIJ66+/fsBl3XXXLfsPhNx9NZPuNtwhCFIHsIWB1IC+DzvssLBPYPsmo6+QxXVjwd3myPXWWy9gipTR3UbENdZYo+BFL6WqqkDibNIko30Hbdu2jaOPPjq0hzNiog4iIMKz6aabBtz1DetNNtmk7BMwZ3CHk2gpMuWaiAKMPAOiCMbN0lgI1B0REBGQy+MhVNX/s2rhN8bfi4og8A6qqvv9xpry1La+EPhfbSzmDBpDJB3AMDOWPFjGl9dXO+d9M56MEQLh3P1aXdECuWbXGSAh6nZNuX2eLwNksx2vVBvXSVNVVfCEvYP6cc+x9mQxHk9XtMCOdl66c7IKkTP8QuLqkZeRIpv+9aFP9avq/99f9emMVNBtookmKqFwbcnkumvO1aUPw+2a/Qva0s199ZVaPXWtKVVVlU1/6tHPmsKbphuMrCvaO1fUoU/tmF7kQGDURwrMVW0sOXt1qur/9XKPPuSDDxzIpU/tRTfMs09z6BrM1CEbWRUpDFEiaVHfNrAvweZJaQLtjYHUGC9L4yFQd0TAS719Ewv3kNem0wuJyS+00ELh5Zcj5HFU1T9fuFr9/EwEEoE+I8Dg8E7tbhcx4JXaeGgDW59b/fMOQmCz3K677vqPvwnwz1p5NrAQQFp842DNNdcMa5+1UMRDdKdz584h9TKwxsp+Wh4CdUcEWt4UpMSJQL8j0Fxq8kwZEvl34WrkoH9kEyUQypab5un3T9usO2AIwBwBkGYRUaiqKkQLXBMRGLBes1U9IJBEoB5mMXVIBBKBRCARSAQGEIEkAgMIXDZLBAY9AjlCIpAIJAKDHoEkAoMe4xwhEUgEEoFEIBFotggkEWi2U5OCNRoCqW8ikAgkAkMCgSQCQwL1HDMRSAQSgUQgEWgmCCQRaCYTkWI0GgKpbyKQCCQCzQOBJALNYx5SikQgEUgEEoFEYIggkERgiMCegzYaAqlvIpAIJALNFYEkAs11ZlKuRCARSAQSgURgMCCQRGAwgJxDNBoCqW8ikAgkAi0HgSQCLWeuUtJEIBFIBBKBRGCgI5BEYKBDmh02GgKpbyKQCCQCLRmBJAItefZS9kQgEUgEEoFE4D8ikETgPwKYzRsNgdQ3EUgEEoH6QiCJQH3NZ2qTCCQCiUAikAj0FwJJBPoLrqzcaAikvolAIpAI1DsCSQTqfYZTv0QgEUgEEoFEoC8IJBHoCzh5q9EQSH0TgUQgEWg8BJIINN6cp8aJQCKQCCQCiUAPBJII9IAiDxoNgdQ3EUgEEoFEICKJQD4FiUAdIfDNN9/Ed999F99++20pzh3/8MMP8ccff8RXX30VX3/9dfzyyy/NQuvPP/88OnfuHJ988slAkYd+Z599dpx66qnxwQcfDJQ+s5NEoN4RqDsi8Ndff5UF788//yxz59MCWE7yVwMjUP+qe87POeecmGqqqWLHHXeMu+++OxZeeOGYb775omvXroUEbLfddrHCCivEa6+99j+AIA0DQhAQi59++ul/+qtdQET6dP+zzz6L3XbbLd57771a9QH+/PHHH+Pkk0+OKaaYoqwB77///gD3lQ0TgUZCoO6IwFtvvRUHH3xwXHPNNfHrr7/GaaedFmeddVY5bqSJTV0bD4Ghhhoqtt1225htttliookmiuWXXz523333GHHEEWP22WePMcYYo1zbfvvti7H86KOPSnQAeX733XfjwgsvDJ/Of/7553D/+++/D+cMuagCD9496LrOgB9//PHF+0ZE1OOJM/7uIwlHHXVUPP744yUKob+e708wwQQx3njjRatW/1yKEJKPP/44vvzyy9CniAFDXzsmg/dbfyIg6r3wwgvx4IMPxiSTTBKbbrppTD/99PHhhx+WyAh5FToYXzvniiiCsYzpvOdiPPWN4bpzbZ0bk6PhOln0QW/n5FPviy++KPLX7sNUPQSITvpQH07qwtB5lkRgcCLwz7dvcI48iMYaYYQRyiL33HPPhXLvvffG3HPPHV5YL+MgGja7bWYINKo4Qw89dGy++ebx0ksvFUM+9dRTF2P/6KOPlpQBwzPvvPPGVVddFZdddlmccMIJwXN+7LHH4vLLL48uXboUw6n+jTfeWIg0Q3jrrbeGEL76Tz75ZIH3999/j+uvvz6uuOKKcA2JQMCvu+66Qr5ffvnlePHFF+Oiiy6Khx56KBhqYXv96otRRBZKZz39+u2330o0Q1+IvD54+mQg61577RX33XdfPPXUU3HccccVGS699NJ44IEHCiEx/iuvvFL00cexxx5bCIHxbrrppnD/zDPPLPi8/fbbcc8998SVV14ZN998czHaNVEYZuPccccdce6555a+b7vttjLmXXfdVT5ff/31En145JFHwj0pCTLef//9pc3pp59eZL3zzjuLPAceeGAcdNBBcfvtt8d+++0XsLA2aUsuRKM2fn4mAoMLgbojAuOOO25MNtlkwXuwCAiFWgwdW/gGF7A5TiIwpBCYZZZZytAMqBTAyiuvXIwRctC2bdsYdthhQxpA5IChe/rpp4tX7r1ZYIEFioFlGNU777zzSqTg008/LemEZZddtrxfBkA6vFs8+gUXXLAYNxEDqQfRCcazXbt2MeqoowbywUvm+c8zzzzBcL755ptRVZWu/lF45gjJpJNOGnPOOWeMM844JZrBuI899tjBm9aWoWbY1Vl00UVjrrnmChEG+hqHgZ1jjjkKqeAUMLqu0wGJeeedd0oqgeHmyR999NE9UhTaIgjkGH744YvBZrxFGBCD9u3bB8ICY7JccsklJaphjFNOOaVEMuDdoUOHGH300QNRIV+7JjwQK9dFakQNKA9L+BvLeZZEYHAiUHdEAHi8DIubRWr++eeP4YYbrix+Pt3zktfq1T5r15xnaWkIpLw9IzDaaKOVVABPnbHacMMN49VXX42aARt55JFjpplmKuF6BtGzP8wwwwRjxGgJ4wt9u8f7Xmyxxcr7g2QzgMiE8aqqilo77xVDPc000xRjjGRIGzC8SAEDJzKHNPDsjamNfnotonrLLLNM8dIZXuO5VlVVeZcZ0Kqqikx0tSfAvghjGM+nc6SAZ+695xhIG9J74oknjl133bUQDMZaf8awrwLpIA8yIqJBRiQBhsgMfY2pD+kX5yITIi2w3mKLLUr6BYnS1wwzzBDTTTddtGnTJhAPUUk4kG211VYLkQKEBt4IHKyMnyURGJwItBqcgw2usbxsFqQll1yyDGkRkI+bdtppy6YpG6osMKIE8nUWvvPPP7+EREuD/JUItGAEGD6eMCM3/vjjx1hjjVWKXPiYY44Zb7zxRgiNL7LIIjH55JMX75UB9d7w6Bkpxg6JZvxGGmmk4M3Lr/eaw0YehLPdH2WUUULIXL7bO4eIt27duiDJmIouCIGvtdZawZDyhhlPbY3N6KrsGtLBMNvweMsttwTjbhw6MJrqM9bGcV1b1/RFRnsFjNWxY8eyX8I9fYgKMsg8eTIx0HSFBfJQVd0jFAy8PRXauAdP+unHeLVPssBY1IOBh1kNL/ohU0gBb196xHgbbbRRSVUy/EjC6quvXqIs+qd/lkRgcCNQd0TAiyfvZ6e0Fxmg2LoX1qLkBbcIWAyF81zv1q1b2UxoUVM/S/NGIKX7dwR4yZ06dSob5hizVVZZJZZeeuniUXsPqqqKZ599tmwkRJJ5xAwiA8r485KPOeaYYtgdM57eK3V7Ht043jN7DFZaaaXyHl1wwQXB+7ZZkXHr0BQeR7bJwfjyoPXBiLvO2xe6d+66d9jeA6TCxj/h9CmnnLKkBOwD4InTgUzqMrCM7jPPPFPG11Y/DLaxRECMixRoc/zxx5c9FPrZZJNNStheLp9zwGhray1YaqmlAjE68sgjyyZEY4hy1Mbs1rRuSHFIYSA2UgtIC7LlniINIPohfYDE2FOgnk9r0YorrlhIjsiBcbMkAkMCgbojApi6RUUusRZm4y3IcQpd8oAsejYOCV/ymiwYFkoL0pCYhBwzERjYCHj+11lnnZKfZ9QYY/l/7wSP3zdrFl988dhzzz1jgw02CB64bxjInzOQO++8c+yyyy7BUAnnC3nb3Cbc3bOsog0Mq68pCrtLJSAcjK5z4+mXLPYOHHbYYWGPAG9fXn/mmWcOhFwqQCRD3wjD2muvHa7Z/c9ISknsscceQQ9yeF/JJsrg2wGIgfo2I+qXB08WexfoqO6MM85YvlFElyWWWCIQH/3ZTIgQcB70QwaFgTfWDjvsUGSBi7ZnnHFGCfe77lsaMPBJPvsTrC/kpysSI03J83d/yy23DJEShASxQKykHUQKjJklERgSCNQdEbCI7L///mEBqAFq4fNCW/gsNnYvIwc8BYuYRYZXU6ufn80JgZRlQBAQ6ufJ+9SegfPsO2acJ5xwwmjbtm2Poh4y4FpVVcVI1rx99Rk0572S5aqqSuidMayqqqQgamQbATGee8Ln5BEid45QMH4Ii5C8+7X6ZEE+9OPTOdl53dpqYy+De9rqi3ftPXdOVmMx3Oq6r11VVYXwiC6IVJBN3+qRSxvXei68e4bbJxn0rb0+EQUyiiLoDz7Gq6rumKhnjZF+vOGGG0JK0mZC9aUPkCf7NpCmquqekuh57DxOBAYXAnVHBKqqCi+fxasGYlVVxTPyIrduylkKfcrPeZkxd55CrW5+JgKJQCIwMBGQIjnxxBNDpIKDssYaa5TNmtIRBxxwQPS8Vg3McbOvRKBfEag7IvBviiMCwo3YunChsFxVJRv/N9wG1/0cJxGoNwSqqip/20Q6QspCFEL0gTMiKlJv+qY+LQ+BhiMCpqjGwIUivZSuZUkEEoFEIBFIBBoRgYYkAo040c1T55QqEUgEEoFEYEgjkERgSM9Ajp8IJAKJQCKQCAxBBAYHEdirSb8sEQ2PQT4H+QzkM5DPQAt9BprErt9/g5wIVFV1aJbEIJ+BfAbyGchnoKU+A/VLAbprNsiJQPdh8nfjIZAaJwKJQCKQCLQEBJIItIRZShkTgUQgEUgEEoFBhEASgUEEbKN1m/omAolAIpAItEwEkgi0zHlLqROBRCARSAQSgYGCQBKBgQJjo3WS+iYCiUAikAjUCwJJBOplJlOPRCARSAQSgURgABBIIjAAoDVak9Q3EUgEEoFEoH4RGKxE4K+//rqkqTyQ5a/E4K/EIN+DfAbyGWjIZ2D05kYpBisRaFJ+lqYyb5ZoxhikbPl85jOQz0A+A4PwGRimqe9m9W9wE4FmpXwKkwinGWzgAAAQAElEQVQkAolAIpAINDoCSQQa/AlI9ROBRCARSAQaG4EkAo09/6l9IpAIJAKJQIMjkESgoR6AVDYRSAQSgUQgEfgnAkkE/olHniUCiUAikAgkAg2FQBKBXqb7t99+izvuuCO++OKLXu60vNOUOBFIBBKBRCAR+DcEkgj0hNALL7wQ11xzTVx88cXx6aef9nQnDxOBRCARSAQSgfpEIInA3/N6zz33xEknnRTPP/98DDXUUDHeeOP9faelfKScjYrAH3/8EZ988kl89NFH0a1bt3j99dfLuehWDZMXX3wxTj/99Pj+++9rlwb652233RZnn332QO+3Xjp8//334+CDD44NNtggXn755Rah1l9//RUPP/xwbLPNNnHGGWfEd9991yLkTiH7D4G6IQJ//vln/Prrrz20tzj+/vvvPc77dvDll1/Go48+Gttuu20ss8wyMd1008XII4/ctyZ5LxFoNggw+LfffnssscQSceSRR8bNN98cJ5xwQmy//fbx9NNPFzk9zxNOOGEhueXCIPg19thjxwQTTDAIem6eXSJfH374YT8J99VXX8UVV1wRHTp0iEUXXTR+/PHHfmrXu0oI3wcffNC7WwP9mnXxkksuiU022STatm0b/bqmDnRBssNBikCrQdr7YOrcw8kLOvPMM4Pn8/PPP8eNN94YTz31VD9JYCHVx3vvvRdXXXVVIRTffPNNYMP91MEQqJRDJgI1BFq3bh2LLbZYTDrppLHkkkvGdtttV0jAqKOOWj4/++yzGH300WO22WaL4YYbLn755ZeQBnvttdfip59+CkbKnhjRhLfeeqvWbXz99deFSLz77rvlmvOPP/44eLY+9YtoaOcdateuXRlD/88++2y88sor4br6xkLUGc8nn3wytC2d9vSLcRSRe/XVVwOxd0sEQ31yeUcVRpC83nn9uMbDRui9s2Rz/Oabb4a6+lHIT9533nnHaVgnyGYMssLBDX3QCUZ00T+Db0zry7ffflsiKwzkZZdd9o8xau3p+9JLLxWs9WfcBx54IMjWsWPHmHXWWUM/+qMzOWBGdzj5VJeM1jH6kcW1ww47LG699db4uml+avffeOON4PxYt/RFb3VrOPp07ZlnnimRI8f6NP+wJa++4Pn555/H22+/XQqCaf49Y4svvniRny7miq6Ksenwww8/OC3rp3HgTKZysadfxnvuuedKdIGu+qcLGXyqqp326qljDjw7UrZwdY1+ng11YGe+HNMBVuqpA399ZukzAnVBBDw0wwwzTHig5Pc9mHfeeWeMOOKIfda8pzsWyQUWWKA8wCuvvHJMOeWU0apVq6iqqqdaeZgINF8EPK/eAe9CVVXBO19//fWL0b7//vvjwQcfLKkvRu/yyy8vhuS8884rxvq6664LxkXod7311gtpMkbvvvvuK6ky9x5//PESadh1113LPppzzjknrrzyytLvscceGxZtRtF1Yxx44IHRuXPnYggfe+yxuP7668NCf++994bF+/jjjy+GpoYoA3DttdcGWYXP1bfok0lo+uSTTy7knvHcfffd49xzz42LLroodtpppyKvcU877bRCashz3HHHxSmnnFLC8Iw8Q64+HA444ICiC2O3xx57xA033BCw0F7/jFiXLl3i6quvLqkOsu29997Fo+ds7LXXXmWcJ554IhggHnpND5+cCcV45GCI4EMGhp/xVY/RJstBBx1UsNlnn33CXDBy2tKbDowxLKVeGDl1YMmY29iMNJx11llx9913hzq8d3N8yy23FCJmLGsjmdQ3N+QwNjKl/c477xzWTfodddRRAc+77rqrzKsxGVXzow99q4fkGcOY5l5aCInwXCALUq1IjPFrBWb0opMxjC8Se+mllxasTzzxxBJ1QFI8f+ZAlAsJ8MzQk3zmxzOAEK299tplroy71VZbFaKD1KmLGNTGzs8+I9Cqz7dazh1eDm8Iy/bSetCESaeeeurycvT6MPaqmQV0wQUXjOWXXz7mmWeeQAZ4U73WG3LnOXIi0P8IILijjTZadOvWraQELI48Q+HeaaedNiya9sKMMsooxWAwBt4BxrFr167FqFRVVYyUhZ9BYxQ233zzWGqppUIEbdVVVy39SD0wcIydMdddd93gRWqDkC+77LJh8WdkvW+MB7LuvuI6T9GivvHGGxcCYWHX59Zbbx3a88B5rfodd9xxS7iagdP/hhtuWIgFQz788MPH0EMPHYccckghRMccc0whC7xKRtIYUie8WoZr8sknDwSI7DDSjlfNICMlPnm7Uiu77LJLITL2EVlfll566RIFqc0Or5Tx32yzzWKjjTYqJAOWHI0ZZpghVl999RhzzDFLdf3ZL0AO9+ebb74wF+Sfc845Y6655oqRRhqp5OetR4wxJwXJs74hSjCqqqpEWBhp82u+YWgOhh122DIWQ0q3Tp06xZprrhlk0Q/P2VwikApZEDmkhGzkmHHGGct8m2Py0xu5QxyQqC222CLoa96RSKQAPsgKQkMmQnh2GGck05yTnVyuTzTRRGUOEANyqCeiQ/7afCAeU0wxRSBs6pljz6pnefrppy94TzzxxDHCCCOEZ2zhhReOOeaYIx064P9LqQsiUNPRg+Fl8ZAx7B5G3gcvwLVavfxMBOoVAZGBmm4WUoYOufVueB/c40XzlETPGEeLJqNkIZ9//vlVKeFuRqlNmzZhsbVZrKqqYJAszhZeuW5eGk/UtdoYZJhppplKNEIEgDFndHjO9hCMM844cfjhh4dQs8G8m4yU9gqjyNDx2Mmgzvjjj18Wd0TANaWqqmIoyU0H9xgRx4gCg2odMD7CwGGAgRQJeTgNrmlPfkZXH8LJ2sOCIXNP0R8SAhPjIAj6Jl+t8PyRBn1NNtlkMckkk5SoC2Oofq1e7XOhhRYqhzxfxpATw5gaA9b0Zli1ZeBUNmeMorklDyzWWGONQhjIyWC7BoeqqjQp+57at28foiX0QwDgbq5UcFxVVcEYNnAxF8YxtnoIjPQGskA2+MFB8fysttpqoW9txxprrJKiQiaqqrsMNhoy+ow1csHTd2xO9EcXpE5/CMIYY4xRUijSvMamj7nSP9KECImOkNe+Lvh5bkQ8rPsw0C/9svQdgboiArWXDUv3AHi4vTTTTDNN2QxowfKQWQSxUi+dh8zL33eYBu/dHC0R6B8EPOcWZYVHzEDw2ITVV1xxxWAAXPfMMwDyuYxwrZ4FmDcu1CwFMO+88wYj5j45LLxVVZWcrsWXx2hBZyjWWWedEKYVZbDQa8N4MAyzzDJL+aYC0mBRtlAj6gwag1VV3Q0EI2MjmnCyjY7SA8LV2iESvD/RB94wWRwbx3gIhGNhdseMMMPCIPPqeaX04UnSDTnitbdr166QGm3ooj2iQnZ1kRCGX1/WFfXUsfegNh4d1IMbnBRrjevWFWPTm9HSVjtzYA1SV4G9aAZjz7NlQHnDPHaevVA5UoWYkNP8wYAeDD55kJGarDAxDnn1XysMtL5FVqQbPA/uwRm+6pPRMwQ3xt9YxiSzaxdeeGHZYyKC4ho59ENeBEFUB3aekZpMjLdxFEbcPEvVMPjuwdu4ZDY2AuD5Mj8iNPCpqqqkatWhh/lQEBLPOaIr+hVNP/TzDIgeeX6qqvsz1nQr//UFgbohAhZDi9mmm27aY+eyh9RL6uWs5aa8OMKCHmyhSjk+C1FfMMpbiUCzRgCRRWotrp5zoVO5U6FR+WzCe94tuj69JwwPL4uxtuBbvC30iLPwN2947rnnLrlX+WQGzULN02X0tWGwebIWYkaeHIoxkATemdQBr9iiv0aT1yoaYByGxPhV1X2hRlZWWmmlsneBodbGuU2QDI2csb4YR0bKp5Sf/sjBCDGGiAbj4b5xGK211lqr7NSfffbZy98I4S1KBTB+jKPQvfaMl7HtB2BMGHNeKYPO6DGY8uY8UGPDRx/WGRgrDNgRRxwRDJS/SUJnoXRjIgjaM9bq1gqcVllllRI9oLPwO0eG0RS9uOmmm8q3mNo0RWfMj7A/I8no6l+IHcmhP+zp7HlgLGtjwMx6Z3zkTSpV5OWRRx4Ja6LIBLmQFPMs7O85QQTMpXrICXysl+bH87bjjjuWrxdK83hGOnToENZgnjpM4VtV3eeY/NJRyJPnxpqN1Hl2kEDPLuJl38EGG2xQ0lX2isDbfHjmzK9PMvmEA7LomfcMIxvLLbdcSQnUyEENg/zsMwJ1QwQ8UDbCYN81db2kmLOXg4eDEAi7efCwSy+5l94LWmsz+D9zxETgvyHAAMj9WnyRXPnd/fbbL+SIGVuGccsttyyb3eyj2WGHHcKGq9122y2EZquqKvloKQALO++TtynHbZOaPQHq7b777iXnvcgii5RvKHh39t133/A1Rd6sfLqvyDESNPLOWdAt7s4t6OSySYzBY0hcV+jAqNm0R1YGnmFxLIQsNSH8y7unp/AvA8/YIjuMoxw5I8qjZJDIK3fNqDIQctna2ZwmuoBkaENv7clOBnLL8x999NEll25NYbjgRR6GGZGQGuGxW1fooDCSCBiZjS81gQSRw2Y7+jOI6tYKHOxbgDn97FFyjyE79NBD44ADDgi62sPhmn0O8ubkRI6QOvMGd3NiHRQVJYt+FPND9/3337/srUDotCW/fQDG0cYGP8RCfXqdeuqphQzaVwA/G0fpjexMNdVUoa30ib61MY+IxgUXXBCwMufGV6qqKikKf89CSklbc4Bw0dFzZj48y/qGv3lAQHj3+jS+iBJCA4fzzz+/RJ2kGhABdkDUQJqiqroTEGNn6TsCdUMELDYWLiHJmsoYtQXHg+Plkxrw0rnuZeb11OrmZyLQiAjwzHlgPEqePy+tJePAi615l9IDLVmXlL3PCCAc9rggnyI/SJEIhI2lCAYC3OfWeadXBOqGCNhUgzUL4dWU5AkJU2GUCIBQmZ24rmOcSq3u4PrMcRKB5oQAkszT46mKBDQn2QZEFh4z71KUQhRgQPrINs0fAU6fOfYtF6mVmWeeufwxOBEOUZjmr0HzkrBuiMC/wSoUuH9TWEw6wMMjFIdV/lu7vJ8I1DMC3gFEWVjXu1FVLTucyvjTR1hbSqCe566RdZNuEQWwt0SEFxbmXgqr55SI61n+HYGGIQKiAB6YqqrCAyMf9+/w/Nca2T4RSAQSgUQgEWjeCDQMEWje05DSJQKJQCKQCCQCQwaBJAIDEffsKhFIBBKBRCARaGkIJBFoaTOW8iYCiUAikAgkAgMRgSQCAwxmNkwEEoFEIBFIBFo+AkkEWv4cpgaJQCKQCCQCicAAI5BEoB+hy2qJQCKQCCQCiUA9IpBEoB5nNXVKBBKBRCARSAT6EYEkAr0FKi8mAolAIpAIJAKNgUASgcaY59QyEUgEEoFEIBHoLQJJBCKit8jkxUQgEUgEEoFEoAEQSCLQAJOcKiYCiUAikAgkAn1CoAGJQJ+gyOuJQCKQCCQCiUDjIZBEoPHmPDVOBBKBRCARFrQ+SgAAEABJREFUSAR6IFD3RKCHpnmQCCQCiUAikAgkAv+DQBKB/4EkLyQCiUAikAgkAo2DQJ0RgcaZuNQ0EUgEEoFEIBEYGAgkERgYKGYfiUAikAgkAolAC0WgRROBFop5ip0IJAKJQCKQCDQbBJIINJupSEESgUQgEUgEEoHBj0ALIgKDDpy//vorvvvuu/jtt9/iyy+/jK+//nrQDZY9JwKJQCKQCCQCzQiBJAJNk/Htt9/GRRddFHvssUfcdtttsf/++8fbb7/ddCf/JQLNHwFE9tdffw3l559/DsW1Pkn+xx9/xMcff1zIb5/qNOr1H3/8MV5//fV466234pdffmkxMHz++efxyiuvhM8WI3QK2mwQaLZEYHAiNOKII8ZEE00UY401Viy99NIx1FBDxffffz84RcixEoEBRkAk6957742jjjoqLrjggrj44osLoRXl6l2nP/zwQ5x66qnxyCOPRN8IQ+/atrRrf/75ZzDu/SK3d/6WW26Jhx9+OC677LJ47733+qVZb+uYk99//7239wb2xQ8//DCuueaauO666+KOO+4Y2N1nfw2AQF0QAS87NnzsscfGm2++WUL8N910UzzwwAP9NIWtWrWKjz76KMYZZ5x46KGHok2bNtGuXbvIn0SgJSAw9NBDFxJ79913F0I7/fTTx7nnnhs33HBD8P57p4P0l9K7e/V07bXXXuvndeCNN96Iu+66K1ZeeeVYf/31Y9xxxx0gKGCOZIm6DFAH/dnIWvfpp5/GRhttFAsvvHB/ts7qiUBEMyEC/20qhEKx/ueffz5OP/30EtrjFQ0zzDD91DEP6YsvvoiuXbvGs88+G1tttVWMPPLI/dQ2KyUCQxoBRHb88ccvhmvCCSeMmWaaKaaYYori2Qpvd+vWLTp37hzPPPNMIQZVVYV3o6qqIrr75513XokQ8GI/+OCDeOqpp0KU4YUXXih1ar+++eabEnFAOrx3rmvfc/8iEd4jRvjSSy8N999///3isdqDY4xXX321XOfFPvrooz0iE0LyZ511VpFdPePdf//9heAzeAi7Mb3vjDbP3bH0njHfeeedkubTDz122223Qororl2teN950VKBHAlyXX/99fHkk0/GVVddFa1btw6RQsacbkgVPIx39dVXl9SKaxwPOFhv9EUWJGD33XePK6+8Msj12WeflUjNE088EXQio+MuXbqUcH5NJnLQ1XjkuOeee8JYUj4PPvhgmQ/9P/3002Wdsl4Z8/LLLy9kB5HhxFxyySVxxRVXBHKgb/3C6rrrrgt4ukYmc/PYY4/1wN51RZSIbHCAC/0ef/zxMJ/XXnttiECo59m688474/zzzy97q0RU1JNWJReiCQvzKfWqP5/ke/HFF0s/rlm39ZdlyCFQF0RghBFGiFlmmSUWW2yx8qB7iTp27BgzzzxzeWE8wH2D2APrBdlzzz3LPoHRRx+9b9XzXiLQ7BCweDMyjCqDJkK21FJLhYX++OOPL4b/6KOPLkayqroTACkwBmGfffYJZFhqoVsTaWBQd9lll2CI9FNT1nt0+OGHh/eNQbj11luLcRKJQyyOOeaYYoA++eSTOOigg0p7i3ynTp3ivvvuC4b84IMPLrn3M844I0466aRieDfffPMS2lZHJGPMMccshtOxvrS//fbbSx9777132Qtx4403FsLP0GywwQbBsOy1117BgL377rtlnw8jLETPOI400kg1NUoe/cQTTyxGmiHbcMMNy76K0UYbLdQTCaCPBsMOO2wJtzNgIi9HHnlkIEeMILIEt1133TXIyfALzRtP+zHGGKPIePzxxxedDzvssOJsMOTbbbdd0YfxNo4igkkeBAT25gZePvV/2mmnFQJCdnNlndPOejXqqKOWeTEHCADc4WddO/DAA4Nx9izow3qH+CFs++67byFo+lGQhnPOOSe0V9+ayMDvtNNOYb4RGHjBFhHq1q1b0GHbbbeNl19+ORAv6RWyGd88mc8jjjiiYEGOrbfeuqRryGbOhxtuOENnGYIItBoSYw+qMT1QNvpgsIsuumh4iS0MSt/GtABYNC0CfauX9xKB5oyAyADj7jm2gHfo0KF4a1IFa6+9diyxxBLBG6ODesjD8MMPH8sss0y0bdu2GFiG034ZxoWBXnHFFVUvhaESKevYsWPsuOOOMe2005b+kXD9I+I8Zgu/1BoizuAxYuqsttpqwRtmUEUwZptttmCI1lxzzUISGJr27duH/pdbbrliNI3HMOpr9dVXLzIyvogBQzLJJJMUA1hVVTCGc845Z4noMcTWA3pNN910Mfnkkxcd/EIeRARWXXXVYMR5sSIU9CHX4osvHqOMMoqqAQfGWN/jjTdeLLvssvHVV18Vw67e1FNPHYssskiQA/486Mkmm6ykaMgMM8bPvYknnrhs0GzXrl3pd8sttwzrThmo6Zd1iMzmZckll4w55pij9CvVIMIDV/3Yy0QfxtecTjrppCUCNMMMM8S8884bxkfW4IQUiWSsscYawQAbTzSHztZH/Yp6GLNJhOLZIwmeA+OYq9ZN0RE4eI6QAP3aP6FfWEwwwQSB9HimPHvmFXHQrk2bNjHPPPPEQgstVPRx3fwimwiGY7oYO8uQQ6DVkBt60IyM7XrYPZhGwHqFSz14FgCM18uB0bqGJFg05p9//hJa1SZLItDSEGAgLMQWYYbdJ6PCWNZ2kjNkFmq6qasNw8zzY0wsyBZ+7wOCwFCop77CAPAAq6qKscceu0QZvG88Vvd50oy2fo2tn9qx/pyrp+iXLK5p577+9VVVVTGUjIj26jIq5PFZVZUuYtZZZw0Gjhda60t/VVUVcqCdKEmp3NMvRo7XLOTO2DFkNUNY++ypergPOxsxYQsDhAfJYMx4wGRFCsiobW1coXxjaLfzzjtH+/bto6qqoC+MyKi+woAjVD/99FNJv5CRPOr5VKqqKpuZtTdXVVWFNS2afsjStSm9qU/ECyZNl0s0wHNgDxSyYc4YduskIjbXXHOVlJG6xtCPa+utt14hVVVVhbFgqxhbXUW9FVZYoRBDfRobiTJPc889d9l0feGFFxYygNggKMiA6AnihxyZY31lGXIIDAYiMPiUk4fEkr24RkUCsF1MVi5K7s1iwwsQ8sR8zzzzzB4vgTZZEoGWhgBDICfumZab9YzTweJt05sogJC1tMFaa61VvNLnnnuuGAjhfuFokTT5bptlha71JcfOMOhLsRENmfaOeW+QacZCjlj/vEyG2TsnJ+99FDZGvI1jDOcMkXdTPhwZZxB4hrxGIXhetOvIuXr64bGTz3XePAMi3Oyd1o8+jcFThQX9tGP4hNnpBCd6iJTASG5dLp1XjFRoL7xtrJohV59xX3DBBUs0g1Mh8oFAiR4YVz/OyQc/baUOjMv4SdVIldTy/VILcCBrz/iqD0cetMhCVVUlfy/E7psMCIj8vHGE7hl39egKW/rCUh26IHgiKvPNN194DuClrsgKHEWN9M0Qe1boirSIporkuGce6WJMkQ3jSMOYe8RC2gEp4lCRBw7mQxvPkLkgo3ueA3MgQgNvc4BgGTfLkEWgboiA8KMNNV6iGqQePqzaQytkZgHAmNs1heYsMBi8zYVYaq1NfiYCLQ0Bni3jy5jWvN2aDry14447ruR8Z5999hBy56Uysjw374WQMUOw2WabBQMrFK0vnqmFu9aXBZx3JxqAXE8zzTSx0korhRw4w6R/oWoGSb8MIrl4gIw3b1J6gBE0tnPv4xZbbBHC7MZkWBAWBkIYnvFhlOjIcNCHod5mm22C9+zdtcuf/OozOu6TQxu6MYRtmkLUDF40/Ti2r4Fu8DrkkEPKN41qfVlHGLKmqj3+8bAZTuF54/HueerWEvsd9OU6PXjMsBRlgYNNiUgD/BAJekhLWJe0qw0y5ZRTFqfk5ptvjk033TTgaUxkQdgfjkgJWRAMkR6GeYEFFih1efIIBwykSJA+OCNt5sncmneRgrPPPjusf9IXNpfWZPBpHwTc4IT8IUfkhZ/NmubLGObAGOYZeaALkgE7uiFhU001VYkmIAH2FFiPYS6SYL5hZcwsQxaBgU4EhpQ6HkIPlvxmTQahKgtCVVXlWwA8DfW8EDwnL5oXpVY/PxOBloiAMKxn30Y6u9Xlq3vWQw6bEeHJMiRC0Or5uhmvjtFixISvkWUGlgES2hXq7bkvRsM4DB5D6B4jUOvfNcZDe8bHHgOb+EQKNthgg3AsBcGrlHeXc2ac9FNVVcm36wthYbDIbDyRB3Jp7299eLf1xxg5ZlhqYzJGjhdqykvz9vXXMyZVVQUDJUe/7rrrlr0FDHynTp2KfGSS4iBTrTCKDDX82rZtG0iQe4yj8bSBs3mAGXzoYG4YbvLAheFj5P3xMjKrqx9F/4zs9ttvH1I7VVWVvLq2HBw486TNnaiMeWTwYYKYIAfwEvF0bE5hA0ffhIIfzI2FyNkQSk7nPRcyiSCQxfOBzJABVuuss06YD8+KvultbEQHqZCmMSdwsbEQaURUrMOeJxETZEUKiAw9j5vHQw6BuiECXk4vpBetBieG74HGfL2QNrZ4oTBsD67NQbW6+ZkIJAKDBwEeMTKAhIs6DJ5Rc5TBiYC5RYQQAhGFqqrKN7uQB5EC0Rtpi8EpU47VZwT+IxHoc8eD+05VVWUTTfTyI2ToYbRJx54AzJ8nJPTVM2nopVmeJgKJwCBCQMic1+pbCXLSg2iY7HYIIiDtI3q08cYbhwiBqA9y0KFDh9hhhx3KH28bguLl0L0gUDdEoBe9/udUuEtYzw3hSwTBcZZEIBFIBBKBRKCREegvItDIQKXuiUAikAgkAolAPSKQRKAeZzV1SgQSgUQgEUgE+hGBvhCBfuwhqyUCiUAikAgkAolAi0UgiUCLnboUPBFIBBKBRCAR+O8I9CAC/72r7CERSAQSgUQgEUgEWhoCSQRa2oylvIlAIpAIJAKJwH9HoEcPSQR6QJEHiUAikAgkAolA4yGQRKDx5jw1TgQSgUQgEWg0BPqibxKBvoCTtxKBRCARSAQSgXpHIIlAvc9w6pcIJAKJQCLQaAj0l75JBPoLrqycCCQCiUAikAjUFwJJBOprPlObRCARSAQSgUZD4D/qm0TgPwKYzROBRCARSAQSgZaMQBKBljx7KXsikAgkAolAoyEw0PVNIjDQIc0OE4FEIBFIBBKBloNAEoGWM1cpaSKQCCQCiUCjITAY9E0iMBhAziESgUQgEUgEEoHmikASgeY6MylXIpAIJAKJQKMhMET0TSIwRGDPQROBRCARSAQSgeaBQBKB5jEPKUUiMEgR+Ouvv+LPP/8sYzj+448/ynG//Kq165e6/VtH30r/thsc9ckFq4E11u+//x6//PLLwOou+6kHBJqJDkkEmslEpBiJwIAiwMC89dZb8fzzz8fTTz8dTz75ZLz66qvx448/9ujy3XffjVtvvTV++umn+Pzzz+PGG2+M7777rsf93h3o95577ksZQp4AABAASURBVIm77rqrd7f/87Wff/45brrppnjiiSf+c18DuwOy3XHHHfHcc88NlK7NxcMPPxznnHNO3HfffQOlz+wkERhYCNQNEfjtt9/i66+/7oGLF9nL1+NCHiQCdYoA7/7RRx+NbbfdNi655JJ47LHH4vzzz4/dd989EARqt2rVKoYaaqioqqqUoYce2uW+Fu8UY8hY97Vif97U74cffhg+L7744ujatWt/9tBv1b/88sv47LPP+lj5q6++io8++qi393/99deBRlJEFR555JEyF1NMMUV88cUXvR0zL9Y9As1WwbogAsJtXbp0iZVXXjmuvvrqQggsgtdcc02zBT4FSwQGFgLDDTdcLLbYYjHWWGPF4osvHltssUXssssu8cMPP8QGG2wQSPGEE04YSy65ZLRu3TrGHHPMWHbZZWPkkUfuIQJj1ePk7wN1Z5999r/Pun+op3Q/6/3v3t3v+ZoIAIJh/BFGGKFHyqLX3npu0/O9Xq/3eq6uyMcNN9wQH3/8sdMepee6d955Zzz00EP/uFe7T/dRRx21kKYeFf4+UEf5+zR6Pq5dq326h6iJ1Li26KKLxoorrljauOdarThXauc+ez13refSu/v9eq3XfmrtfCq1+z0f167lZ30h0Koe1OHtzDrrrLHMMsvE3XffXcKjI444YlkUsf7vv/++HtRMHRKBPiLA2Fiwa8/6aKONFjvssEO8+eabxeN+8MEH48QTTyzkQGj66KOPDh6ziMFxxx0XBxxwQJxxxhnxzTffhD546gcddFCce+654f1CJrxbRx55ZOyzzz5x/fXXl7rHHHNMnHLKKXH22WcX8iEaccQRR8T+++9fjDDvV1/OhcVFAvQhciFUrm9e++mnn17aeF/feeedOOyww2K33XaLzp07l8jBZZddFieffHKcddZZsckmm8Trr79exmfsDz300FC0g4EipE8mOnXr1i2MRec99tgjrrzyynj77bdDnxdeeGF06dIleOz62HHHHUvaRB+10jPo0i9wOfjgg+O6666L8847L5Zaaql444034rTTTisyS6mceuqpceyxx8Z+++0Xl19+edx2222l/v333x8PPPBAwZAs5DKO+TEPO++8c0lHIHHIEizVe++993qIof4zzzxTcFcf5nQ/5JBDyhhbbbVVmQ8O0gsvvFDm1ZzdfPPN8dJLL4X7cIHns88+W+Z+zz33jJVWWinIoC6nCiavvfZarLPOOpnO6IF+fxy0oKp1QQSGGWaYGH300YPX8+2334aH34PMQ7JQeAm9PC1oXlLUROA/I+D5VxgpBt57IeStY165a4zatNNOG2uuuWYxlowPY/Xyyy/HuuuuG1NNNVUgGdq6x5tdeumlg3FXR2gd2RA5YOTVE3lwzBgjEj7btGkTF110UXz66acxxxxzxFxzzRXt27cv0QD9a884f/LJJ/HBBx+U93niiScOUb2qqsJ1+x7mn3/+oAMZ7V2QVphooomKZ8/D11dVVTHuuOPG1FNPHauttlpYHxj9Dh06RMeOHQvJYDjdF0nhRJDXuejKpZde2ttIANyMK+Uo8mLcBRZYIBhThnvssccuxMtaAxP46n/hhReOueeeO3wa66mnnooZZ5yx6IEAiFogVhwZc4FsmB94jzPOOIXInX/++YYvxRqH5BgHmWO4RUC0IT/Dffvtt5dUxJlnnhmuIVzwV996aL2cd955Swqpqqoy/8MOO2zMMsssBTP9wVKZbLLJYqaZZipj56/6RKAuiEBtauRAH3/88ZCHm2GGGcrLzLuxcFRVVauWn4lAQyDA01amm266GH744YtBqKoqRhlllJIiYBQYsdlmmy2mnHLKUM9Gw65duwYDNMkkk0T7JmPNkLz//vuFEDCwjFjbtm2D8VRvggkmCHUdSzt4/9o0GX6bEpGAySefPIzB61TH/gQpATKZCH0xNvpmeMYff/xCEOwhUKeqususXrt27YqsdvQz5toYmyfP2FZV9/fcGAzbGGOMUYgF46ntnHPOGQw4UiH8Tw7RQzrAY6SRRirEgVxVVZU1xHGtcDDGG2+84GBYV+ipjbVHqqNneREZxAUZq43lk1E1L+RTkAZ9wWmttdYqaRvykc010YcllliiJkIhUwiVe506dSqRH4ZeKoNu008/fZALSRORQXCkJLbccsuSFiKnazPPPHMhZIgiAufaJE1zbn5XWWWVEl21ntJZ3z0EyIPeIdCir9UVEfAyebh5JLwAi4WXzMLEyxAq3XjjjUsY0Tlm7+UQlhQCEzITNsWs5ViF4yxGQmgYOJbcomc7ha9bBBiCqqqCUaIkoyY0zcNjjKqqCsbRPYa9qqpiFBgmIWPepeL9QRR450LL3inermsMBmIt9M2AMereMWMrjKG+jeGcUSSPyMF8880XDDkZjOO9YvTVc01bn4wyuaUiyO2++sZzv6q661FVVSEzUgQ8WySGXOQxvjbOvePIANJA/qqqyqZJxMd9MvDchfUZbkaQztob27jx94+6DOs222wTyy+/fEmPWBP0o76xnKveczvn9HMNptaheeaZp0dUAAmxhwAJkxoRJZDaESkgpzmBlzH0RR/4IAp0r6qq6ASfaPqBe1V1n1+6aScKo89aHetjU9VC+BAAsq+33nqFJLm+0EILBTmkIGDiWpb6RaBuiIAXQ05r88037zFbWLcFkdfgBXDO2GPL8ntVVYVvGvBANMKyp5lmmuIFvPLKKyWPyKO54oorwktUW+TUzZIINBcEGBdhch64cDKjxpgyvHLqDBVjzMtU7r333rJb3vO+f1MuX0j9hBNOKJEC4em11167fM1QPwyJd4f3ueCCC8bxxx8f8upC+wwS48VrlOtGnPXFgBjPO4Ro++ri+uuvX77eiBhoyyjL1ZMB8fY1RV6pzb7SEQyQ3Dej7L0WudAfou66c969OeC96ktovmbghL5FGYT5jSnNoW/7BJZbbrlATEQ7RD/sk+AJw+6dd94pX7sUvqcPrEQ+jMOYk8W3M+jLszcOL17OndMBc7oz7PQyJ2TVjuzGkgaBoSiLc3JLYdgXoR9rEKytOdttt13J8bdr166sS+RwfdVVVy17EERZrG/w7NatW/kqpv0XZIG7iIGN04q1zh4Bz4NvgiAt6kh32CdhPwK8jCHqYUPpIoss0mNc17P8jUCdfdQNEfCy8ly8RLU5wuixYQ87do15e/mxbPe8GK1bty75O+2xZosb5o8FW5y8OLwqqQZtan3nZyLQXBBgqBlFxpwRd8y7kzvmtbsvSmahZ/DktxlEhtKxTXIWfAaN0RRePvDAA8tmW/nmfffdN7w7SDaDqi6PmNFDJGxm41XaGLfBBhuUfQU2rjFWrjNuDBEDzFsVwldXft3Gwb322qt4x0LgjI8xGDgGHvEQ6t5www3LZkTvrjEReoThqKOOCn0xpAxibU6MY1OhejCwB0I00P4G2CAMMIGR/nn5m266abgHR3KTmSEWSq/1a4+EfuAGA165TY3G0ZYsjPbee+9dvs4JT47GAQccEMZgYA8//PDYbLPNYqONNgpj6MOx677xYY6QAxjoxz3tajJUVRWrr7562KipvrVKsdFPFMX800EkwQZA+zTUs75Zy+yXILu/I4GokJkOHTt2LARQtBR5kdJQvzZuftYvAnVDBCwCXmo5ytp0YesecuTAgy28+eKLLwavxYKCoQuJeVkxeG2xZd6AdAKPwMvAK/FZ6zc/E4HmhABPddJJJw1kFdG1eHu+GUNyus+4uM/A8O4ZP++H+zbZMiTeD+dVVZWvItq4xoh69pFg/WnnujC3yJpj1/ThPROiF2J3zTgMLnKtXs2gukZexk0bdcnnk3FXz6dx9WucqaeeOvShb7K6770ls3N6kb3nQj9kxzWEXxt90MU1BhhOIn28bMdy4Qy5c2PqmzzqK66LBOhHe9fIQA/yKuprp71xESbnCpn0QRa4IF36UM81dZ0rZIGJPp33XOBPN7i5bv0zv3A1rnYICF3V07c2CJ17dEUQRQVs/Lz22mvLt0iQM5ETxKU29/pv8FL36tcNEbBIeakserVZc+zFsPDYLCTvecEFFwTPROgN8/WSyHsy9vKTcowIgOv2BsjZeWHl6Gr95mcikAgkAi0dAaRE1EFEplOnTuXvGyBvIj++8rjQQgv12FfS0nVN+fuOQN0Qgb6pyXPYeuuty3eQhSLlB7FhO42FMEUChMaEFzFz14TYkAshRV+x6p3H0bcx814ikAgkAi0BAVEIThRHiLwiB6IajhuyNKDSDUEEGnBeU+VEIBFIBBKBRKCfEEgi0E8wZaVEIBFIBBKBOkQgVWpCIIlAEwj5LxFIBBKBRCARaFQEkgg06syn3olAIpAINBoCqW9vEUgi0FtY8mIikAgkAolAItAYCCQRaIx5Ti0TgUQgEWg0BFLffkQgiUA/ApXVEoFEIBFIBBKBekQgiUA9zmrqlAgkAolAoyGQ+g4wAkkEBhi6bJgIJAKJQCKQCLR8BJIItPw5TA0SgUQgEWg0BFLfgYhAEoGBCGZ2lQgkAolAIpAItDQEkgi0tBlLeROBRCARaDQEUt9BikASgUEKb3aeCCQCiUAikAg0bwSSCDTv+UnpEoFEIBFoNARS38GMQBKBwQx4DpcIJAKJQCKQCDQnBJIINKfZSFkSgUQgEWg0BFLfIY5AEoEhPgUpQCKQCCQCiUAiMOQQSCIw5LDPkROBRCARaDQEUt9miEASgWY4KSlSIpAIJAKJQCIwuBBIIjC4kM5xEoEhiMBff/0Vf/755yCVQP/KIB2kTjv/448/4tdffw3z9G8qqlMr2qnvvH+w75+6+u+f8g9Z+qfhYKwL699//30wjti8h0oi0LznJ6VLBP4VAQvaW2+9Fc8//3w8/fTT8eSTT8arr74aP/74Y4+27777btx6663x008/9bg2sA+eeuqpuOOOOwZ2t3Xf388//xz33XdfdO7cOZ555pm+6vvxxx/HZZddFp999lm88847cc0115T6H330Udx+++3x/fffl/M+/fKsPPTQQ3H//fdHjUT0qe6AXGdgr7/++njiiScGpPlgafPJJ5/ETTfdFJdcckm8//77g2XM5j5IEoHmPkMpXyLwLwhY0B999NHYbrvtyuL22GOPxQUXXBB77rlnIAiat2rVKhTHg6oMNdRQg3yMQSX7f+0Xwfrwww+Doe3fvm644YZ4+eWXY6KJJuqrIedpf/vtt3HCCSeEsaqqiqGHHroMV1VVP2FPPs8HYz0wowLIzEcffVSiGldeeWV07do1muPPL7/8Escdd1yMOuqoMdpoowW54docZR2cMrUanIPlWIlAIjDwERhuuOFi0UUXjTHHHDMWX3zx2GKLLWKnnXaK7777LjbccMOy2E044YSx1FJLxfDDDz/wBfi7x5lnnrmM//dpQ3289tprwaAjBP2r+G233RbDDjtsLLnkkjH//PP3sXlVVTHllFMWI4b8TTzxxLFBkeARAAAQAElEQVTiiiuW+uOOO24sscQSMdJII5XzPv1q3bp1GQMh6FOdAbn+wgsvxD333FP0GGOMMQZ5GmpAZNRGJKVLly4x9dRTx3LLLReTTz55VFXlVkOXJAINPf2pfL0gwLvj2dRCw6OPPnrssMMO8cYbbxTv7MEHH4wTTzwxfvjhh7jrrrvi4IMPjgMPPDBeeeWVuO666+Kkk06Kww8/PDbYYIPindbqubb33nuXyIJw6n777RfnnHNOnH766XHRRReVfg466KASYhWyPvfcc0vYer311ou99toreLBXXXVVHH300fH2228Hb/GAAw4oXq1FuXf400WKg0zbbrttCXnz3BiaI444ovR74403xtdffx3HHHNMnHHGGXH22WfHbrvtFo888kgccsghYQxh9PPPPz+OP/74UmfzzTcv6RNGEAb6EjVhGMii3tVXXx2u0+nzzz8P5cILL4z9998/6OacXsY79thjy1iMvzCzeox6n3RCFk455ZTYd99949RTT41PP/006CGVo505YuB7bW9en3nmmSKXtvRC/tQ/7LDDwv2uXbuGvmHy3nvvxcknnxzmzTx5JsyD+Tngb+yHGWaY+O2334rx1gedbrnllhKRgOlpp51WZNxxxx0LZkcddVTBQFj9q6++KumJffbZpzwH9Odln3feeSEyhdTAkwxwc9/cw1V/+vZ8eX7gqN32228f8CErQuX5PPLII0NKq1c8nHsebr755vLMmvc777wz9HHppZcG/ddff/1CzB5++OFy3dyR0ad0gGdGesQzBpOe55tcnnM40JdcZ555ZsETRp4fMtRTaVVPyqQuiUAi8P8IjDXWWKEgA998803w2uRwGcHxxx8/5p133uAhumd/gXMRg32aFnh5ZPXGG2+8kPtn6BiuBx54IOaYY47ggQpnL7TQQtG+ffsSlrbYM1ijjDJKzDLLLCEMW1VV8RJnm222QkBefPHFmGCCCUqOVl+M2P9L3P2IoWGQjbPIIovEc889V4wReVZYYYVYZpllonPnzoWwWPTpN+ussxYyQqZll122GJBnn322GHILvvEZPwbg9ddfLwZ4+eWXj7nmmisYJwbHgv/FF1/E0ksvXfLv8GI4kKU2bdoEI9OtW7fQL2My33zzFeLx5ZdfhvFnn332WGCBBbor0ctvdRiYySabLDbddNOAA4Kkj6mmmqp46TCTXumladnXQd/pp5++RACqqioeN1LC0FVVVfaD6JOBNX/mHRmzZ8M46tF73XXXDePBXf1rr7021llnnTCP0kmw9Dz47NChQ2hz9913F/lgbY4vvvjiePzxx4PnTy7XRDLmnHPO8CwgGNJQsIDdm2++WeaBTCIaDL86CA3MtUVskDjyMvCeuy5dusS9995bdO0VE4SBDHTx3LZr1y7GGWecQnyNA0dzap8M/aebbrpYeOGFy7PTtm3bWGWVVcKYCj09W3S+/PLLC0FCJNwz30iQZxkBOOusswpZ6lWeln7eqqUrMKTkl6OTaxtS4+e4icC/IcArU6addtqSErCwVVUVFjnPLwM/4ogjllzpFFNMEXPPPXesvfbaxQjabDjCCCOUvLU0g7SC9tIPM8wwQ0kBWOh5bx988EGMPPLIZQwLsHqMKYPOs7foW4gZFQs2Y7DLLrvEjDPO2FsVtGPkhL71s8kmmxSDpB8GgrGxmDNMPqU9JplkknA89thj9wif84KREvcYan19/fXXZUOlqIPr9BJOt+DLGyMp5DMOI8JYCiMz0rvuumsgUDAzFiPE6CBXdEai3OudUggG/e0D0AfjQ/4aXrDWvndtGUybAREB6RdzIHJgTEUbOmiPCNioR2Z6zDPPPIHUIWjGpbNrDDUD7RN+MIUdfGDgeJpppgmRJWXKKacspBKmSIW+YMpzhhuSVdOBbEiCOWecyVSTmazkNC6Z3SeT58/8whvJdC6iZYyqqjT7R2nTpk1JdSGJL730UjhXyGHfhPy/TzK57pmdaaaZwvPguueVDup7R8hBbnOkHplEx8jqGjw9K1tuuWVo8w9h6uAkicAATKLcKwYpdDUAzbNJIjDQEWBQqqrqkSNmTIWuGQ4eV1VVPRYwodo99tijeJpC0hZLHiuhGKdJJ520LPqOLYo8XfdqYzjmkelb6oDHKDRrca8tkjxfhkjImcFkLBgtHiAv2ELPw+KZ6q/nYrHmzVnkhYAZHgbWxkeGiBEXfmasHVvYyaa0bsqBV1UVjquqKpEKRjiafujIgDOoIiC8esZe3+TRDxmbqpZ2+qKPKAMMGQ7X1NO/ez5dq6qqbBQkr/a9FoaHrPSns3qITq0t7HptUzuHB+JmPlwzf4qxq6q7kYSHPuCsjiiIT+OYP+MwmPSFO+OsrrQEA6zAAbHRTl9VVZX8OUycG8+zAgeyiAAgNvqjG0LkkyzqKtoxyiI87tnL4prx4KduVVVl02NVVYV4SC/o25yQpXfFWObS8yV8L9qinjF8ev7JZQx4G8d1n86RENEH9USZ4KMtXaVYyCfSASdjed4RZaTCub7qqbSqJ2UGhy7YtXySh8gLNjjGzDESgb4hIGzJEPNsPJdysHLyvByhTJ4OI8CgvfPOOyFUypOzIDKK2vPE5JN58HLLPFaeIG/cwljzjBho7wCPXU5drpu3xCjru2ZgGQEe1IILLhg8QwuwaANjLhQt389LZBR61c246pJHvp93SR6eLFnsUXCsvaiGXLmwsvF9hc45XXm85PCpL2N36tQpyCu9oB+pgs0226ykSHh+8JOy0K9iX4EUgXY13Xjn0gP2TIgkCJXTH9GATa/6OG/bFI6WEpBjlm/meZOBwSaX6KIojDlRv+cCDyF9qQlj1ogBUoEg8PbNmzA8cqN/554BBATe0iVIgbC8Ogwdj99mQ7l1z4T0CZLDyXmpycs2RwylZ4ucdEbK1PeswQRGIghIH3Lg64z0gZloEew7d+5cNrJq62uSxqjNEb0d65/MHZrSEYjG6quvXtI3nuGqqnqGoxwjQlIZ8vieTSkez7J5F95nsKuqCn17BsjCmMMPDuaM8Sc/mREcWG600UZhbjbeeOPyNVzPivfBOyUypg/4FyHq6FerOtJlkKvi4bOwekjt0BUuHOSD5gCJwL8gYKHjQdkMuNZaa5UcvvC/jWUMkIWXUbZZy6K99dZbl1yzOsLznmtGgddrkRdGtQDzthAGC77d1fpmOHmyogYWTQuw/kQOGFRj1BZKKQmRh6rqvpBbVG0gE2JfaaWVSo65d6qRd9VVVw0RN9+AsFeA9yosSwZeZceOHYNuNnrtvvvuoW+yyouT9dBDDy15YB6de6IQvkFBJqRkq622KrlxhlBf9JVbr7W3Wc11eiEMZIYhI4UAkUVExAY0KQdkR3vEp3c6ITxy1DYnciAQHSF5kRNGZptttukjHtqaK3XMlzXI+oNIaNu2iWQ4p7PUC5IEl8UWW6xs/mQozZfnwV4Au+XpZ3x9Iij2YuhPX+Zd6oZsIj42bHom9M97Rno8a+rByPPnOdA//W1C1R7WNiJaL+HsWVAfUSEjkglXz5M0gLkmv69H6mONNdYoBKJ3eDL0Qvd09Nzx1sngGUAmyKY9AmR/i7XavHt2kACfSy65ZNm4CRPOnb4QGs84ucgsmmF+YQ4r49C3dzK15Gt1QQSEdLBpLygGiu1i3tjgwJwcTFIYCiuUh8OWXRuYY2RfiUD/IsBwWugt1oyTvKoFjQHQl4VLzpMR4V1byC2MFl1hc96SMLy6DKJPhUHXp5ytRZRhcM4YCqE6N5Y2xjKmMbTTnlzCzY5rhRfPuFpga9d692k8Bp2RqN03hvEZXSFfxsCxa4waw8Mr1IYcZBQpEA1BCMjNqOqPB6htLfyMaDhXau2NbxzhctfpxTvXt7G0NZ5jssFTP/rvXamqKtSBmX7UcU5+/cCmqrqTJvd6LnRBaITikTmefq0t421+9WN+tVMHzmR2XlVVyPvTwzjaeC7gPNNMMwUdWjelVcivnXM4IIj0NZZPc6w/8uuLHM7Jp45nRT334OdTf/qVItKOrGRwTmY60d+YnhfFdbhXVe/xIDsdPcfkJIO5MqZ5hoPiGdU32ehqTOeKZ5A+cDEW2fRDNvdr2LlmDHVh5LzeSl0QAcbYiy5EJgRo96ev8liIBuaEWXgwTHk1D7h8m4dvYI6RfSUCgxMBCzRPT/jWAl1VvV94B6dMA2sshsCOb2Fvi/jA6jf7SQTqDYG6IALYPWboj6n46gtDLYTFO+LpyP0NjImrqiqEBH3dSDitU6dOZVPSwOg7+0gEhgQCPDmeFa+eB1RV9UMEeOk8X4X3NyTwbZZjplCJQC8I1AURqOlkURMN4KnL9wgF+R6qUquTn4lAIpAIJAKJQCLw/wjUFRGglry9TT3Cgs591U9+x6fdwP5Yhd2p9hEo/iKX3cB2/LpvR60/nOIrLAiFXbwiCvKMvo6izyyJQCKQCLQQBFLMROBfEagrIuAPm9jZaeMQzW3q88c4bPxwbCeqTX52Lvuzqgz7/vvvX/7KGeNv56qvkPgajp2yjL92UgC+dmJTon6zJAKJQCKQCCQC9YJA3RABu/l59L6WUpsc3wdl4H36rrRdqb5e4mtEDL4/DGEnrq8quS+d4Ks9NlDZc+A7wiIIiIWv/kg11PrOz0QgEUgEmh0CKVAiMAAI1A0R8EdTfD9WGqCGg6+DMO7C+75W6GtTjD9P31dEGHrfobZZyt4CX8Hi9SMPvjYjamAjot3U6tT6zc9EIBFIBBKBRKBeEKgbIuD7q/7YiJ3CtclhxIX1fYfUX7AS8veHMPyZUn9gRLgfEfD1Q3sCkABE4dZbbw2kYeWVVy7/lavoge+t1vrNz0QgEUgEmgECdS+Ctdcf+PGHkxz7ezH+cqD13HXOHBD8pUt/adB/EiWdy5kTzb3++uvj/PPPD3vH/GVGf+DIHw/yB4L84SJFxNg+MH+Hxl9F1F+jlbohAlVV9farfL7njxz4U6H2A/grV77+549YuOZPpPq70/4rS3+Jyh+M8JfK/DUpf1nKp7/Z7m8IRP4kAolAIpAIDBYEpHv9DQh/BdAfvvInk3013F8N9OekOXb+/oW9Xv5aoIiur4v7q4aIgP9i2J869jdmOIDa+ONBCIQ0sf1jXbt2Lf87pqgxMmH9HyzKNbNB6oYI9A1X3rzvETP+8v1VVZX/TMM3CxR/eMhn7XvUHhbRBH1q5x5C4TxLIpAIJAJDBIEGG9T/G2Df15VXXhmMOWdM8TcvfDPM341hwEUK/KdGviZeVVW4Zv0WCV5++eXL335BFuz98ieCbR73Fwf9fwLWd/9HAuLgj8WJBDcYzEXdhiACRdP8lQgkAolAItBiEGDQ/W0YUVz/4Y//b0F015+JrhUOmmN/lpgh9/8d+D8LtHW9qqqir/9HQ9jff0q13XbblT+3LIIw77zzhg3k/vMhe8FK5Qb8lUSgASc9VU4EEoFmj0DDCyh87/8yEOqXN8WIXQAAEABJREFU+/c3Xmz6VoT0/T2YLl26hG98qes/UrKXwB4BaYDHH388/I+J9n7ZDC5twODbXyBlUFVV+c+3RANEC0SCGxX0JAKNOvOpdyKQCCQCzRgBKQD7AmwC9x8X+ZPxvHb/9bBvifn/XkQJEAF/I8b/Zujr4/4XQvu+eP42kYsOaLfOOuuE/6XRN8CuvfbaQiCkg/0vhFINVdU9etCMIRlkoiURGGTQZseJQCKQCPQjAlmttwjI9a+00krFgDteZJFFYs011wxpAF8XX3fddcv/nCg1wKB36NChbBqfY445guH391/8/zOXXXZZ+B8G/Z0YpEJKABlAIEQTGjkaAPgkAlDIkggkAolAIlCXCEgvIAXSBQ899FDZKD7rrLOWbwtMMcUUsdBCC9Wl3v2jVBKB/kEr6yYCiUAi8N8RyB4GIwI2FPoK4gYbbFCiCUiAbwt07Ngx1l577RBNGIziNMuhkgg0y2lJoRKBRCARSAQGFgJVVZUIQM9/J6DnbxUMrHFaaj+tWqrgKXcikAgkAi0CgRQyEWjmCCQRaOYTlOIlAolAIpAIJAKDEoEkAoMS3ew7EUgEGg2B1DcRaHEIJBFocVOWAicCiUAikAgkAgMPgSQCAw/L7CkRSAQaDYHUNxGoAwSSCNTBJKYKiUAikAgkAonAgCKQRGBAkct2iUAi0GgIpL6JQF0ikESgLqc1lUoEEoFEIBFIBPoNgSQC/YZT1koEEoFGQyD1TQQaBIEkAg0y0almIpAIJAKJQCLQOwSSCPQOlbyWCCQCjYZA6psINCwCSQQadupT8UQgEUgEEoFEICKJQD4FiUAi0HgIpMaJQCLQA4EkAj2gyINEIBFIBBKBRKDxEEgi0HhznhonAo2GQOqbCCQCfUEgiUBfwMlbiUAikAgkAolAvSOQRKDeZzj1SwQaDYHUNxFIBPoLgSQC/QVXVk4EEoFEIBFIBOoLgSQC/TCff/zxR7zxxhvxwQcfxAsvvBAvvvhi/Pnnn/3QMqskAonAIEYgu08EEoH/iEASgX4A8Ouvv45rr702dtlll3jiiSfimGOOiddff70fWmaVRGDQI4CUfvbZZ6G888478d5778Xvv//ex4F//PHHuPjii+Ppp5+Ov/76q4/1GvEGwr/TTjvFfvvtV4h/zxj88ssvceGFF8b9998f1oSzzz47Xnvttfjtt9/i1FNPjWeeeabn6v9zDOs333wzjjzyyPjqq6/+5/7AuEC2ww47bGB0NdD6qOGz4447xnPPPTfQ+s2OBh4CdUMELIYeuBo0znnytfP/8jnaaKPFTDPNFLPNNlusttpqMcYYY4RF4b/0mW0TgYGFwK+//ho33XRTLLLIInHKKafEmWeeGdttt11ZdBmfXsfx7N55553FiPV6r9mf96eA33zzTYnm9UszJIpx32KLLWK66ab7n3f8u+++i1tvvbXgOvTQQ0fbtm1j+OGHj6qqYvzxx48RRxyxr8OYCyTt0ksvjR9++KGvdfv35vvvvx/ffvttvPzyy3HBBRf0b/NBWv+ggw6KscYaqzyf1mg4DNIBs/P+RqAuiACDj2mfe+658corr8TPP/9cXlgeT38j0psGHtx33303RhhhhLjnnntinHHGiUkmmaQ3NfNSIjD4EWjdunUsscQSMcUUU0SnTp1K5Oqnn36Kq666KpAExvDZZ5+NTz75JDzLwwwzTCGzQw01VBG2dv/DDz8sKS8G7+OPPw6GUZShVPr7FxLx/PPPR7du3cJ753Ktfa1/Y3766afx5ZdfljSa+/p89dVXy7uJpH/xxRfhumvG1Y/C0/beSsOR1XiMJw+at/7999+rViIeb7/9dulf9EM9Y+qTfPoxpjXhkksuCfqUhn//skZYK956661yBV4PPvhgaCtistxyy8Wkk05a7vlFXn0w+K1atYrhhhsuZp999mLg3J9jjjkKGXDMyPN86UBX12BijbKGjD322GUeXGfA6Us/54y5ds5FG+gF19qxOnAhO/3pzvifcMIJBYvRRx89RhlllCCv8YyrDVzIVMOajvBSz3X6q6c/qU/j1dq6rmjz0ksvlTUWvrAzN+65Dh9tyK9v8kmlIk/wnnvuuWPKKacskRP3jKWtseGuXQ0vz51r5Fan5wITMhtbffNsbGOK1Lqmvn5h47lxrp5+tYMDWdUXyaGzuopjbWFDL8fa13OpCyLggaqqqoTrL7roovAC3HLLLeVlHRiTZ/HxEHkoveTrrrtujDzyyAOj6+wjERgoCDBODDzD4vm3KPLCfIoSiAAIGVv0GBKDIgKe6QMPPLBEFI4++uhCFh599NHYZ5994uSTTy6EWl3F4t+5c+dgMKXHhKGNd9JJJ4X+Dz/88GJILbQHH3xwXHfddaWPAw44IG6//fYSEuetMgpnnXVWiV6ceOKJsckmm5S9N+80pTXOOeeceOihh+LYY4+NBx54oKQ5Nt9887jmmmtKfSF4Cz1DoJ4Ux2mnnVa8fnrcfPPNcd555wXDaLF3bjFnKOig8EqvvPLKottxxx0XyAIjx2DAi2F2rq7CQMFQX127di1RgI8++ii0hTUMD2jSkUzaw+Puu++Oo446quhAXhEbY4oGkAWRkGa84oor4r777otDDjmk6KCdiESXLl3i0EMPDREKzoe+YIx83XDDDSVFKfJjDuh37733BuNqLGsUOc23T9fMl3a8cwSNkZX+MJ5xzj///ELSyEIPKZAbb7yxEEkYmDPjk4ved911V5lfbfXfuXPnMHdw2WqrrUpUyjw8/PDDJQ2CuCjm5ZFHHonjjz8+3GOYTz/99CCHlAlDDG/k4Y477igY9zwX1mFp2qeeeqo8Dz4ff/zx2H333YN+dCY34+05dR925u6BBx4I983BZZddFmzE1VdfHc5hDkvP7d57712w8K54NpCzqPOfuiACXqrJJ5+8hO495B6wxRZbLKaddtqSB/VQm3gMz3x6ET0AHjhs2yLD4/cQ8qIseOpZELzAn3/+eVmoVlhhhZIaEBFwP0si0FwQqKqqeJkWyTPOOCOWXHLJWHvttYtBFMaW9/bcMlhVVQXiEE0/Flle7iqrrFIMCU8UgfCOMMBSYU3Vyj+LP2Oz8cYbB4+ZQWWwebn65+laaKXSkA3e37777hvXX399eD87duxYFnxjM2ijjjpqIQcTTDBBMOYWZNeMO8sssxTDgnB3a4o+TDbZZOXdYzzJbIH2zoqG7L///mV/hPd0+umnj7322qs4BYjRxBNPHAsssEBJ7cXfP08++WQx0Ouvv37QZbfddiv7Aeabb76yZqy33nolYvJ39YIhT9seoTnnnLOkDOhgnSCL9IB1xzHDzVhtv/320b59+0CurDvWERhvuummJYXAAFqTpHMYTmMhCuONN16JpCy66KKhPPbYY7HyyiuH9YyBtkYxbPBDuBCpDh06xDTTTBMLLbRQ0FlfSy21VNCHMeP5TjjhhLHSSisVsoFwqUcuMu68887BmIoaIWgMOzLhOfIc6I8XzrufYYYZgrH0aX1Fgsy1sRzDyZjkMQ+dOnUKOnlezLPjDTfcsBhaBMZ6a6zNNtusyGscBAcZ9dxau7t27UqEUrp06RKXX355eX7JA7MxxxwzkD76zzvvvMXAIySeJ30z5EgGh848IZ7mAhGYZ555CjmQ1jEXa6yxRpFNVMWz6Pn3PpTB6/hXXRCB2vx4uLFOEYIOTS8Hj8eLY8I9AHvuuWd5yTw0HiYPrgfPy+ul8PB42TFDi8/WW28dHsJxxx03LE5t2rQp+cDaePmZCDQXBCzGnvdtt902eFieXUaUl4sAVFUVjBhjRWaGTJuRRhopPN88ymGHHTb04dOzrj1DG3//IM4WSAv0wgsvHLPOOmsID9f6Fyq32LqvHoKgP2PozyejVFVVCV8LvVuALeCM5wcffFAMsDbuMUgMHnksyuqSyTvLCDM69u0wqI45BOpYB4xXVVVJIdTG/FuNIjP9GXAGTWEcjYXcVFVVq1raM2xSgdogO+o5pmdVVcUokbGqqrBuMHZVVZV9Bjxp3nc0/WhrfxFdGCfrj3b0NTeukR1O9HSPXq4Zi5eL/DR1VVISIpNIjLWNjjXZ4U43/Winvn5EUGBEdgVWxjCWY04RWciHhIiwkFd788l4ihggH+p5ftxTamO7blztjEV/eJkzBJEcDLRxPVueKUSUvIjiVFNNVZwu+y+QPxGgqaee2hClIKLa6WebbbaJddZZp1wnv3HJTlYEwNiOkRFEwJjuG8tceH4RLREEz64+ESj3RC5gTQ5YlUHq+FddEQEPpoVumWWWCQuBebMwOd9ggw3Ci+SFr6qqsE8MlQc0//zzh4fNwrP44ouX8CivwYPLO/BieVDatm2ryyyJQLNCwHPPiDAIcrsWZQJalNs3eaW8UQZbGJ/HxGjwnhlfYVpEeOaZZw6LJJLMW0WMvTv6qRULs6iAML8wq0WcEeXxW6Cd87AswoyK/hlssnnPyOfcAu09JZN6PEPv1ySTTBJCuDxdIXZ9eye1r7UlG/0s1vpq06ZNWOBdU0dd19Ujh3v649nCiS48WddEF4yNyDBAZKS3Ylx1GQHRDA4B/dTRl76NYzz6uA4vMsND7tkYc801V1hn9Gk8uCuMI4OGgDl3XzRDP86RBPg5hpXrCpJhXt1j5PShOLe26Ydc2tc+OUNSKDZAakMu9d33qY1xGEJy0c0xAlJV3UmRa+qITiAXyJdx6Sw9ok9Y6Eu/5k9fjs2LT1EHJMB+CvPnuoiNdK7UgFA+jD0LjDDjrhjPXCjmSd+OzT2jTgfYGMP4nmHzTj4yWMfpYv33vNFFe/eNY14QH3WMJbol0kA+z4a69V7qhgh4yS1Gwj7CYCbONWzcw2NhcM778TD4ZOAxQozUQ+Bhwgg9sB5wC5NFQF9ZEoHmigBvSzqMB8ZIMwhkZcSEnZEB+Vv1Ntpoo0J0GRfvi/dgookmCsS3Xbt2wcg51pdogoVUX8pCTaHnNZpCpxZu97Tllc0444wljI9gIM7ysoyCjYDksonRJ4PE+5RyG2qoocrmNnLpZ6211iqpDHWFp0XnhLL15R30qdCJwVCf0ZDWY7S8395hdeSWyU1G6TzGoWY86MEg8qZvu+22sndhhx12KBEKJIpxYOTgo67xRAkZCHserBXkJZ/1hBEUomZ4XGMohfGlLpzDQ3QDbkgU4oEs8V6lJdQRCkfCFlxwwRKiF4pW1zqFZCAhSBOZtBPZFOV0ne4cFHMMX/WsW3TzHJhj7ayJIhvWQoZT5AKhgJd+EB+RVN4zIuM5YoThAQe6wlMktaqqkqqAI/IivE8Ox+bWGDbcwV0oHxFibI2HyDD6cNT30ksvHdZcRMWzx/DChU7mgayukUHhtJl7eyvog9gYE36iFTV9reXm3vj2WCAN5PGMWt/pUyOPcKIXEgoDZE6awHPtPTBuvZe6IQIYqYdfPrA2aV4MeTUPk80+XjQPhIXCQ2mx8EB5mHyXhKgAABAASURBVDBDeSls1YPrBfQCYZy1/vIzEWiOCFhQGRz7A2zw47nX5GRUGA6bxCywnm3RLwuv/L1FjzG2WWqPPfYIBkt+2x4aBs17UuuLYUC0bSxDKORmeXZywcLI+rfAW9wt4uqSy3upf3IwprxkMi+77LJhk5e0m1CyBX/XXXeN/Zty/nLG9JBbtnGMl+YrkQw/giAlYMOZkC8dfGuCQZJ/Jpv3miEQDWSU1amq7t4twiD3CxPfbffOMzzkgyFZGdya3gyrzXxbbrllqE9eBkn+ms6iLPCiL0Mn516rj8QgEXC1sQ5RIDfD7SvJcKvhbm7ozyDR0XUGiqEkq8iN/uhqI560ABJHH+MZXz140e+AAw4I9RAPY5LbnJNFSB1G5kc/vllhfdQ3omez6NRNIXlECA4InLqu20wnlWHujWsOESv4mC+bCm1EdN84SAVZrM32lEhbidCSx/Nibum2+uqrl6iU5wou9o3Y64JkkUHhvJljmxPttzAGsmvezAWMzQX5yGKfA/2QMfJ5RuiIODL65NEXXDyTyAKyhjiZH2M2QqkbIuCB7dSpU5jA2sTx6oV8RAUsah5Kk+/FxuqFkjz8jrFDbT10HhwvJYaLLNT6y89EoLkiUFVVyVV7D6qqu8GLv3+qqir3qqr79arqfq5uNP34rKqq7H+pqu6ftWtNt//xr6qqf/QVTT9VVf3jWlX9/3lV/X3896d+kXYhcQZDuLmqqqj9VFXV2760q6p/3nNNiaafqqp6tKuq3h9HTz9VVfWoH3//6KtW/r7U46Oqqn/gU1VVj/ZV9f/H0fRTVVWPe/H3T1VVPa5VVRW1n6qqelyPpp/a+FVVlfGcV1VV6jiOv38cV1X191mUulVV9ahXVf88rqqqR52q6n5c68OnUlVV+HGsOO65VFXVo//4+6eqqnKtqqoe/WurRNNPVVXlvvOq+v86VdX9OJp+qqoqdaqqitpPVVX/cy3+/qmq6h/3qur/z42jVFVV5KkdR9NPVVU92iFPIgGIgM2XUl21za2+/cJuNEo0IJp+6oYIMNxYKVbXpFf5h+ljsDwJE+sepi+c6TutPJAauxXOUg8bRQZ4EkKGPXtEpdP8lQgkAv8JAVEK7yXPXZThP3WWjROBAUCA8yeSIc0gQsBRRAREhUSZRKMGoNsW26RuiECLnYEUPBGoPwT6qpH0nNC4iFsSgb5ClTcHIQL2FdgH4FmUHub02byIJAzCYZtl10kEmuW0pFCJQCKQCCQCicDgQSCJwODBOUdJBOoXgdQsEUgEWjQCSQRa9PSl8IlAIpAIJAKJwH9DIInAf8MvWycCjYZA6psIJAJ1hkASgTqb0FQnEUgEEoFEIBHoHwSSCPQPWlk3EWg0BFLfRCARqHsEkgjU/RSngolAIpAIJAKJQJ8RSCLQZ2zyTiLQaAikvolAItCACCQRaMBJT5UTgUQgEUgEEoEaAkkEakjkZyLQaAikvolAIpAINCGQRKAJhPyXCCQCiUAikAg0KgJJBBp15lPvRkMg9U0EEoFEoLcIJBHoLSx5MRFIBBKBRCARaAwEkgg0xjynlo2GQOqbCCQCiUA/IpBEoB+BymqJQCKQCCQCiUA9IpBEoB5nNXVqNARS30QgEUgEBhiBJAIDDF02TAQSgUQgEUgEWj4CSQRa/hymBo2GQOqbCCQCicBARCCJwEAEM7tKBBKBRCARSARaGgJ1RQQ++eSTuPfee+P2228v5f33329p85HyJgK9IjBYzn/77bd46qmnyvvz448/DpYxDfLdd9/FK6+8Ej/99JPTvpY///wzXnzxxfjss8/6Wm9Ab/76669Flm+++WZAu8h2iUCLRKCuiMDPP/8ca6+9dpx//vnRtWvX2GCDDaJbt24tcmJS6ESgfxBgJLt06RLbbbddnHTSSfHwww/Hl19+2U9d/PHHH/HAAw/E/fffH8cff3xce+21/dRuYFR64oknYtVVV40PPvjgX7sj57HHHlt0+9fKA1CBDNYPhGgAmmeTRKDFIlBXRGCcccaJmWaaKXbZZZfYfffdo1WrVvH0009H/iQCLQaBART0wQcfLAZ8k002iQUWWCDuuuuuYlx5uUiCwuv3aQifCuP61Vdfxc033xzTTDNNXHXVVdGxY8fQzj11FXVd8+lccf+XX35x+I/y119/haLu77///o97zntuM+mkk4Zr3lUVHbuvvXN9ODbWUEMNFaeddlosvfTS8cUXX8TVV18dH3/8cdBLO3UV5+prrzhXXHOfHo71ayzH6o0xxhjRpk2bqKqqyFS7XquvjuJcf46zJAL1gEBdEYEXXnghvv322xAZsKB5qWefffZ6mKfUIRHoIwIMGuP0+eefx6effhpTTz11bLTRRjHiiCPGhRdeGNdff30Jp19yySWFGNcM/6233hrXXXdd8Moff/zxuO+++4qBfemll+LSSy8txEJUgZF95pln4pprrilEwTv2/fffxyOPPBJXXHFFIR3Grwn44Ycfxi233FL6O/HEE+PRRx8txOCjjz4q1y+//PJAXLynQw89dDDw2mpHHn2KUPzwww9xxx13lP5FKZ5//vmiC+NvbKSgVt/x22+/HV9//XUhC88995wuy7hI0SmnnBL0os/ZZ59djslFJ7hIK5JjmGGGKe2kGMkhdWEtMQ7SIGpAtyuvvDLeeuut0n9pkL8SgRaMQF0RgSeffDJGGmmksAhYYPbbb7+YYIIJWvD0pOh1jsBAUa+qqphjjjmiQ4cOceSRR8Zee+0V8tzjjjtuIAeM+vDDDx8MqZQBQ37BBRfEu+++G96TiSaaKETTpphiimKUzz333BhrrLHi7rvvjmeffTbefPPNsufGfV44I/zYY4/Fq6++WjzoPfbYo6QWasro/7zzzguGGWHYdtttS26fwTXelFNOGaeeemoJ8VdVVZpVVRVSG/L/4403XpxzzjmFvCAySMBwww1XPH8G3Z4C+ow88sgx7bTTxthjjx033XRTIQFVVRW5Rh999B798vRvu+224iRUVVXIkj0JCALdRUMca4BUVVVVxrquiSQhFq7deOONYc9R586dC8F67bXX4uijj+7n9Iu+syQCzRWBuiECwngPPfRQ8YSER9ddd92ySDRX4FOuRGBgIsAobrzxxnHxxReXjXdbbbVVMYhC78LurVu3jtFGGy0YNUZ0lFFGKeRh+eWXj7Zt2xYCPeGEExYCsNNOO5W9NQx5VVXFyKs/66yzBkOIdPDURRTuvPPOaN++fUnDxd8/DDNjPv/888fee+8d2jK2+pt55pljlllmKSk8kQjyaOZzueWWi3bt2pX9PaIBrvPQJ5lkklh22WVjuummi2GHHTa86wg/nSebbLKSCplvvvmKvojLYostFhNPPLHmpbRv3z7mmWeeeP3110tZeOGFY7bZZouVV165bA5k4BGDUvnvX4gQnMgFF+MiPiIFSIcIAvL0d/X8SARaNAJ1QQS8rO+8805ZCGoLX1VVJfy42267xTHHHBPvvfdei56oFL4OEBhEKsh7C3u//PLLxdgffvjhhQS7VlVVuM94yms7JoZ3pqqqkg93XCvC8wcddFBpz3iqzxgzglIKPHxRBkYSiTjkkEPisMMOi6mmmqqMU+tbOsGYUgaMNhIiLC+3X1VVjDrqqMFTr6ru8lVVVXL+PO011lijRCj0UZOrqipd/2MM96QXyLfkkksGYiKKMddcc5W6tV+MeIcOHUqaQbRQuhApQGqmn376WHTRRQt50p9Sa0d3MhiDLlVVBYJjTRF52XDDDQuBqtXPz0SgpSJQF0TAC+vFnnzyyQNTr02GhdCLbGHgPdSu52ciUG8IeO555wyhT4aXcRaGF96W52bI5bwZ227duoUQu/fD3hreutSa/Lv7vGRhejvovT+MOIIhNSBMP/fcc4dwu138tbC6yANcq6oqew3uueeeuOyyy8KeBaSBZy7Uz2D7iqJ+7T0gk7QFMi9dYWyy+qogvXj5yId7dNHG/gc5fXsJ5O5tdBx//PFLmqBtU4SDHD0X0QRpANEKJMaYUh72LRgLAXrjjTeK3PYOtG6KoCh0dB0RqLVHBGqpj57HyONEoKUiUBdEwALEe+H5zzvvvGUuvOiYvjCklMEII4xQruevRGAwITDYhqmqqoTbV1pppUB427RpE+uvv37MOOOMxbM/4IADAiHYbLPNYq211iqeuPC//DohkQbftBH6F2o/7rjjwn4A9ZdYYolwbZ999ime8+KLLx4Mrm8m7LzzzsG7FpbvNUxOBtdE6HbcccdgnKXslllmmSKjsDyZeNg2+gnlk9l4CMyuu+5aZCbneuutVyIXDPjBBx8cSEi7phSCr0qSGTGxBkg7LLXUUlT6n2LPgL0K1gQ36a5vaYett9461lxzzbLfQf/SBoy++jPMMENJS9TqIgHSjsY1nrH1lyURaMkI1AURqKqqLC4WHguQCcH2bZqyOcqixntwPUsiUG8IVFVVQu1y2XPOOWcstNBCITomZG5zHsPpOuPHMPOeGWQeuvsIg3O5cyF7nrr6wuYMoXeHcZZ7157Rbd3kMTOEvspnQ65rNVx59iJ0Y445ZiAJ8u3uIRwIhDA9Q2tsMsj/+9ov445oIAXOyWlM5EAaQZslm1IA+pBuMD4ZRRl8/1+eH0kxVq+lqrqH9bVzj2MAF+NYH2BgfEQCfnDQt30OxoWDNnQhI4cD6dJXlkSgpSNQF0Sgd5PgxfXVJZuVOnbsWHZD965eXksEBgoCzaSTqqqK9zwg4lRVNSDN/qeN1AJjLbVgj0CvFapq4IxT6xdxQC4YcVGD2vUB/ayqgSvfgMqR7RKBwYVA3RIBXgyPREhycIGZ4yQCiUCEzX77779/2ZUvcjCoMUECpAlEBAf1WNl/IlCPCNQtEajHyUqdmg0CKUgikAgkAnWDQBKBupnKVCQRSAQSgUQgEeh/BJII9D9m2aLREEh9E4FEIBGoYwSSCNTx5KZqiUAikAgkAonAvyGQRODfEMr7jYZA6psIJAKJQEMhkESgoaY7lU0EEoFEIBFIBP6JQBKBf+KRZ42GQOqbCCQCiUCDI5BEoMEfgFQ/EUgEEoFEoLERSCLQ2PPfaNqnvolAIpAIJAK9IJBEoBdA8jQRSAQSgUQgEWgkBJIINNJsN5quqW8ikAgkAonAvyKQROBfIcoKiUAikAgkAolA/SKQRKB+57bRNEt9E4FEIBFIBAYAgSQCAwBaNkkEEoFEIBFIBOoFgSQC9TKTjaZH6psIJAKJQCIwUBBIIjBQYMxOEoFEIBFIBBKBlolAEoGWOW+NJnXqmwgkAolAIjCIEEgiMIiAzW4TgUQgEUgEEoGWgEASgZYwS40mY+qbCCQCiUAiMNgQqAsi8Ndff8VPP/1Uyg8//BDff/99Ka59/fXX8c0338Rvv/022EDNgRKBwYlA7fn/8ccf47vvvotffvllcA4/QGN93fRePvHEE+WdHaAOemr02WefxQu3ffPLAAAQAElEQVQvvBC//vprT1fzMBFIBPoVgbogAr///nt07do1Ntlkk9hpp53ijjvuiOOOOy7WW2+9OPXUU+OUU06JQw89NO66665+xSXrDT4EcqT/iACS65n3/O+xxx7x4osv/sceB03zP//8sxAVvSMCjzzyyH8mAkhQly5d4swzz+zRt/6zJAKJQL8jUBdEYJhhholFF120LCpjjz12dOzYMeaaa6548MEHY9ddd43tttsuJp988kIUbrjhhn5HJ2smAi0AgWGHHTbmmWee+OOPP2KOOeaImWeeuVlK/fHHH8dFF11UZJt44oljiy22iNFHH72cD+ivqqpioYUWiqGGGqroP6D9ZLtEoJERqAsiYAKHHnromHDCCaNNmzbRqlWrGGmkkWK44YYr4cIRRxwx1l577UIEtt122+CNaJNlCCCQQw4SBIYffvgYb7zxYtRRRy1pMF7yww8/HNdcc02cccYZ8eabb8Zll10WV111VUghPPPMM/HAAw/EtddeGyeccEK8//778d5778WVV14Z9913X1x33XXx6aefxr333hvnnHNOIdVSDh9++GFccMEFceKJJ8bhhx8e999/fzz55JNx8803l0jc2WefXVJxUhS33nprGRv5/uqrr+Lcc8+Nzp07F5neeuutcF8ajzzG5NXrx7Vu3brFjTfeGM8991yR7+mnnw4RhRp4oiDPPvtsjz7JVlVVkZkOF154YRhDtJB8+j7qqKPi2GOPjddee61EB41PJuNLLZDN+D///HNxKuCjnWhjph1qyOdnPSJQN0RAiNBCwSsyUY5dc1wrc889dyEB77zzTu1SfiYCdYGAZ90zr3gHGHDpAsSYsb/66qsLOWbAX3311ZJTv+SSSwopYCiRAcb36KOPDsae4bvuuuuKIWZkpdbk9Pfdd99iJEUh7rzzzkCyH3300TjvvPOKV87oM6aIx/PPPx/jjDNOHHLIIaHvkUceOcYYY4yYcsopy/n5558f3377bTH4jO5kk00WF198cQnzIyUIzBdffBGMOYONXMTfP6+88kohLeOPP34Z134ge4FOPvnkotPjjz9eyMrrr78ee++9d0w00UTxxhtvxMsvv1xkFpkwZlVVhcggSPQ86KCDCvlxT+oCKdhyyy2D7n8PnR+JQN0hUDdEwMxUVeWjj6W2kFiQ+lgpbwxMBLKvIYBALTo26aSTxgILLBAzzDBDiBgstdRSJUr2wQcfxJhjjhnud+zYMXbeeef45JNPSiSBYUeYF1xwweBxIwRSb8LvomxVVRXPfJJJJolZZ5012rVrV8L7Y401Vsw333wx++yzFyLB8DL4jDN5ePDSAIjA9NNPX4wxmaqqKhGCqaaaKhZZZJFYccUVS/qgdevWhTRMMcUUQcZo+mGUmz5KCkBEY5RRRin6LbfccjHaaKMFgkNmZEgq0DgIi/MRRhgh9EU+MlgD3F9//fUDkRE9oKe+jN2lS5eCCTxWW221cM3YWRKBekSgbohAVVVlfrzMDiw+VVVF7dy3CXggFkOLmDpZEoF6QUA6TPG8V1UVDCDj5Zp3wXV59KqqSuqsqqriSbvP2DGU6tfaaSPKgABsuOGGscEGGwTvW4pNaF2ofqONNiokQN1a/9oz8KIM6jHsyEI0/fDsmz7KP+Nq58Q4tShdmzZtom3bti6H+7V60nzkd0N9EQDRBNEPY6urqGOT8FZbbRXedXuGll122bj++uuLrKuvvrouCj7q618hI1Jgs6UUI/Iw55xzRqdOnWLPPfcsRMO4pXH+SgTqDIFW9aCPxcBOaeE7HsFLL70Ujz32WFRVVb5NcPvtt8f+++9fQqO+QVBV3UlDPejerHRIYYYIAp5/ufSnnnqq5P2Fwx0z1kLywvSuOef5C9kjxsLnXbt2jSuuuCJEAFx79913gzfcpskgd+jQIXbZZZc48MADwztEOekA4Xo5/9tuu6144Txx7bx7QvY+jetY7l99YXlRAl/1u+WWW8J9RXTCpkHEgRw2+O64447x0UcflTrk9l7r6+233y7RCAbcpkhj2gMh3K8fUY52TREKEQQpDmMiDPYCiGwgG/YdSDsgKdYM+wOQFfjZP+RbRoiRzcf2GUgrcCBcq6oKBFkSgbpDoC6IAKZuMfQiL7300uVrRPKNcpM2Hgkp8grkR4Un624WU6GGRsDz37oplL7ZZpuVcL1cNyPumwSOhbYXWmih8vcF9tprr5hxxhkLXt4RhlBInzHkPdsDUHtHXEMCpptuuph33nlLSJ6x5Wnrw3slj+6YNy38L7S+5JJLljTBqquuGgzzAQccELPMMkv5Jo9v8IjICd2TV/RA+oLx59kbk6wTTDBBbLrppiWVgZToX2qiCN70S7pjt912K5sjEYztt9++hP7322+/Er3wzYn27dsHgqB/6Q7pByQICRA1cK2pqyKjjY8wM/a4445b5BcJ0M/iiy8esFE3SyJQjwjUBRHgIViMhP0sPkJ6CMGaa64ZvIMVVliheDx2VNfjJA4hnXLYZoKA55/B8rx7/ts3GUDPPfI7zTTTxCqrrBKOfaUWKWAYee28bHny+eefv+TAZ5ppplhjjTViscUWK2kDhtk9bXzdTzSBd+7bBFRv1+R9e9cYfwZc/yuttFIoxkUY9K/O1FNPXfYFuOYeYuB9RTKE8+030AcZnNfu69PeAXppJ4xvbHW09W5PO+20ZW+CPQPeceMz3o5FQXwjQLRD29lmm62QGv0tscQSISVSVVWQzzV96l8qgtx0RzRcy5II1CsCdUEE6nVyUq9EYFAgIP+NOCPLPeft/20sXrgoGwPLqIoS8LL/rd2QvC+SYL9AVVXlq8V0FmEYkjLl2IlAc0MgiUBzm5HmKk/KVTcI2DG/8sorlxA6b7pfFauqqoTRO3XqFKIPwvdV1bzz5iIHUgAbb7xxSFnI9fervlkvEWgUBJIINMpMp56JQCKQCCQCiUBvEEgi0BtQ8lIkBIlAIpAIJAINgkASgQaZ6FQzEUgEEoFEIBHoHQJJBHqHSqNdS30TgUQgEUgEGhaBJAINO/WpeCKQCCQCiUAiEJFEoPGegtQ4EUgEEoFEIBHogUASgR5Q5EEikAgkAolAItB4CCQRqPc5T/0SgUQgEUgEEoG+IJBEoC/g5K1EIBFIBBKBRKDeEUgiUF8znNokAolAIpAIJAL9hUASgf6CKysnAolAIpAIJAL1hUASgZY8nyl7IpAIJAKJQCLwHxFIIvAfAczmiUAikAgkAolAS0YgiUDLmb2UNBFIBBKBRCARGOgIJBEY6JBmh4lAIpAIJAKJQMtBYLASgaqqpm4qPf41wfRKU8l/vUMgryUC/YjAX3/9Fb/99lspv/zyS/z888/l2PV+7KKP1f7888945513Qr99rNSfN7777rt4++2349NPPw3990vzP/74Iz7//PP4/vvvS3W6ffvtt6Wfjz/+OJyXG8381w8//BAfffTR/8hL/q+//jreeuutcv/DDz8sc0jH3tVv5mrWo3jP9TBc//3gk+YG0GAlAs1N+ZQnEagHBJCArl27xgknnBAXXnhhXH311XHllVeGa//VgP/0009x6qmnRs3YOv8vmH3xxRdx1VVXxbXXXlvKjz/+2E/dMZLkeOCBB0r9zz77LG6//fa47rrronPnztGv/ZTGg+DX77//Xgx337pW55577on99tsvfv31139Uhe9tt91W5u3000+P888/P+h8xx13xL777vuvff+jszxJBPoTgVb9Wb/ZV3/44Yfj5JNPjptuuin+66I1GJXNoRKBAUZgqKGGilFGGSVuuOGG4FnONNNMMfzww8cxxxwTZ5111gD3q2Hr1q1j4403jrHHHju++eabMobrA1oY8qeeeirWW2+9WGqppUL//dLXMMMME1999VUp6r/88svBa1599dVj5ZVXjmGHHdblIVJg/sILL8Srr77a1/FbtWoVo402Wrz77rtlnmqVtX/mmWeKbuuvv36sscYaQa9RRx21RExef/31f9SvtcvPRGBgIVBXRIAXdOyxx8Y000xTPIXHH398YOGU/SQCzRYBRGDiiSeOtm3bxjjjjBPTTz99dOzYMTbZZJPYf//945VXXgne6EMPPRTnnXdefPLJJyXE/uyzz8YHH3xQjDtDRkGe9SWXXFKu8boZ/y+//LKQ6rPPPjuOPPLI0od3TeSBcX7//ffjsssui27duumiR2EYjffoo4+Wa4z35ZdfHsb1bo411lgx9NBDl3uM46WXXho8ZuFzkYwuXbrExRdfHMLjjOhwww0XCAGZRT7URSqmmGKKcr101PRLX+c3edT33XdfPP/880GfN998M+h4xRVXBH2QCGF4joMIhfFEK9QRihexeO+995p6i2KMH3nkkbjoootK2J7hprO+77///uLF77XXXsGTh600xi233FKcEbroxJj6pPcII4zwD8P+xhtvlEjOXXfdVebKHIoGiPTQ2fw6No9kordIAVxuvPHGoIMxsiQCA4pA3RABobULLrggvJBzzz13jDnmmGWRA4y84tNPPx3PPfec0yFfUoJEYCAjwDj1nG9vSmPGbLPNVogBL5zBYuQYUV4ng3TooYcGw/jOO+/EYYcdFjzPE088MbxLr732Wrz00kvFexUR0I7IPO8xxhgjkIozzzyzEASRt3vvvbfHPgKyME76bt0UUTjppJNKeoHRF7lgCHnGjLs+vZ/nnHNO8YgZUHsH7rzzzmIUvbOiB4ye9vomg/b64jXro1YY3EMOOaTsk2AwyaZvxh4Z2nvvvYteSMKBBx4Yd999d3AeDjjggEJQdtttt5KyQFh23HHHsj8CqWB4GefNNtusrCPIjfaMN8LDWLdp06YYePoiGiI0Rx11VGh39NFHl/WIMUee1K/JzNjThy4jjzxy0XuPPfYIREwdc4mokOO0004rRE60xzgICXyeeOIJVbMkAgOEQKsBatUMG3nBvEgzzjhjeVEwc56CjUk8GflTrL7nxbIZqpEiJQIDDQHPusLgMliMkxC/yAHD4n2ZZZZZYu211y6EgcHijTK27du3j6mnnjommGCCYIh44hNOOGE5X3755WPrrbeOySefvBgrxnfNNdeMKaecssiub4Z80kknLSHuLbbYIhAFfUw77bQxySSTxFxzzRUMoAaMouiA+yuuuGKMOOKIxZu2OdCYI400UpCNHLxtRATJEfnwyQjytrt27Vq893HHHbekHJZccsmwHsw555xhDPqInCAU448/fkw00USx5ZZbFk9etAJWxlpppZUKMUJYEBGEZ+mlly51yc4gczRgtfnmm8euu+4a4403XiFeCItoCdJBdnsBRDbIL0LDaCMyMI6/f2BsHsg6wwwzFIzNmaKKuuSCpyJtwNlxDTERAUVG1M2SCAwIAnVBBLwoQn+Ytr0BQoFeqqmmmqqERJGEDh06xCqrrFIWtQEB6j+0yaaJwCBHgNFg7BSDMWoMEMM533zzFc+dkVlmKbp9PwAAEABJREFUmWVCJKBtUxpBXUZXW0bP+XLLLRcLLrhg8fh5vYyz64rwtHdN/+3atYtZZ5217EMQcWBkGWr31EHApRUcM75IB5mcq9NzQQgYX4ZTyF+onEz2OiAGvHjevzaMuM9aX/oTrRDt8E0E+jLuDPX111/fI5SvP/cUujinO/0QB/27xkiT1T2Ew3g8cykT9xEBY2sHM5/kgU3tEwlYYIEFYqONNooNN9yw7GVAENTVxv4NdXsu+lToo15NRp+Ka2TTXjvn+iGTa7Xx3cuSCPQvAnVBBHggFoPFFlss5Pnmn3/+wt6F2bwovKCFFlooRh999CQC/fuEZP1mjwDjJqzPgDKGQvq8WJtmjzvuuGC0eZKiYnLuyLI2yLM8t5w4r1p7IWfeK6Lgun7l3OX/GVc5aiFvIXdG2nUGSv0aUNIByMStt94aonA8ZF45A2t/wIsvvlgMNMOnjdSAkLd2vvqIRCDxxx9/fMnL8/R51gg9eUUKaqk+aQzkZc8994x11123bGiU5mDY6ahvRESaQNpBGoTe1ownn3yyhPntY+BVixC4Dx8kCAmYeeaZY5111ikbkBEreIgCqKe9NAYCxBi7TweRERETWBvLpki42UdBBxsDzROjT38kQV900x/v3n1hfykabcyp+yIUHB7X3NMvEtStW7f/+SaCvrMkAv2CQF0QAS+P8OQKK6wQG2ywQWDjvAwAeJl8Yvc+B3nJARKBwYwAb5DRFrJn+G6++eZAgOXGGSGG2r4ABkxdhJnBWnTRRYPRZeiFmhm0OeaYIxgl7w8vHcHedttty9fX5p133uLhCklrzyvt2LFjqNezyvpZfPHFQztEYJKmVICQuHeRgTc+o8Zz1s5Y0nj2FejLffUZdt6w95o+ZGTgbfKTSmC8GUz31FMQEpEEfS3URP71K5S+xBJLBCJi/wDjzsjrw14HEYFtttmmOAnaM8z0ltJwLiJBTwZ80003LSkRciM7oh5wsO4I71tnkBp6yPvDExGzV4ABd+2II44IY8NJP1I20gNSLQiGtOZaa61V5kZ9kQVzog4yRmcRT/URuFVXXTWkOsyl/rIkAv2LQF0QAQvJIossUjz+XgGwEHl5hPp6vZfniUA9IMAoS3v5fvruu+8eu+yySzBY0003XSEEdBQdY1xspmWY3ZPbZqwZSW0ZFF6+DXOIA2PFCLsnR64POWmpBmSDx877ZYSM0XNBPhj0nXbaKRhR7ygDre999tknEAV1tHGP4bdBDplh2BnATp06xc477xyMMWNq857+7C+go3689/qoFURBO7ohQa1bty5f2WPojbnGGmvEZJNNVjZGIkW+eohwkIF3zQjbewA/OEXTD9IAu+233z7o4NyeCN/vR04YdCSADjYMIkoiAjZZ0sN9hIAM9i0gJghDU9fln30TyIa5ga37juGHYMDffBgfHvZF0B+xM1/u23/Qc5+l4/yVCPQjAnVBBIT+5T4x/p719tUioTQLgJex53sD6Ti7SQQaDgHvEu+boRQlaGkAiETU5OfRk18aQfpBlETI3bnrWRKBRkCgLoiAhYkX0euEyYv6io9wZK/38jwRSAQGDAGhcMSbl8zjHbBehlwrUQLeu6hB+/btiyAiAkiAvQb0omO5kb8SgQZAoC6IQJ/mSZhOlABR6FOd/rqelROBRKAg4J1SykkL/MVxEBXoWYfaNddboEopciIwwAjUNREYYFSyYSKQCCQCiUAi0CAIJBHo80TnnUQgEUgEEoFEoO4RSCJQ91OcCiYCiUAikAgkAn1GIIlADZv8TAQSgUQgEUgEGhCBJAINOOmpciKQCCQCiUAiUEOgUYlATf/8TAQSgUQgEUgEGhqBJAINPf2pfCKQCCQCiUCjI9AYRKDRZzn1TwQSgUQgEUgE+oBAEoE+AJOXE4FEIBFIBBKBRkCgHolAI8xb6pgIJAKJQCKQCAwUBJIIDBQYs5NEIBFIBBKBRKBlItDyiUDLxD2lTgQSgUQgEUgEmgUCSQSaxTSkEIlAIpAIJAKJwJBBoKURgSGDUo6aCCQCiUAikAjUKQJJBOp0YlOtRCARSAQSgUSgXxBo3kSgXzTIOolAIpAIJAKJQCIwwAgkERhg6LJhIpAIJAKJQCLQ8hFoTkSg5aOZGiQCiUAikAgkAi0MgSQCLWzCUtxEIBFIBBKBRGBgIjDkiMDA1CL7SgQSgRaHwC+//BIffPBB/PHHHwMs+59//hndunULfQ1wJ700/O677+Ltt9+OTz755D/J1ku3fT3966+/4uuvvy6lrxXzZiIwCBBIIjAIQM0uE4EhicBLL71UDNmQlMHYv//+e/z8888Oe1teeeWV2HnnneObb77p7f1+uaj/k08+OT766KNgTH/44Yd+adbHOp9//nlcdtllceONN8bVV18d33//fR/r9usNJEXpW/2ffvoprrjiirjyyiv7Vi3vJQKDBIHBRQQGifC965SH8O677wZW37v7eS0RqGcEGMNDDz00OnfuHL/++usQVfXFF1+Mxx57rI8yjD322PHtt9/+JzmHG2642HzzzWOcccYp3jQD3scB++HGQw89FE888USsu+66sdxyy8UII4zQD636XuX222+PDz/8sK+Vhh122BhqqKHis88+62u9vJkIDAoE6ooIYPN77rlnHHjggbHXXnv968s3KADNPhOBIYnAI488EqOMMko8+eST8c477xRReOavvvpqvP7663HDDTcUb1c4/r333osXXnihlMsvv7yEwjXgXZ911lnBgCETjNOjjz4a99xzT3Tt2jX016VLlzjvvPPiiy++KGF5941x/vnnh4jEp59+GieccEIcf/zxpZ1+a+W3336LW265pXjc+nLdtQceeCBOO+20IBdPnEEWoucpP/7446oVgm9c8jKuX331VakvEoD8HHnkkaWPCy+8MC666KIgh3ravPbaayVqUDpq+vXyyy/HGWecEffee2/TWYRz/T777LNFz9FHHz2GGWaYcg9hufbaa+OSSy4Jsrqob2O6ZnzXYEUHMn/99dcFwx122KFEGeAKr9NPP73MgyiANtIj5BMhadXq/5dkTg1Mn3nmmXjqqafC+OTQ5o033iiyd2maB+d0fP7550s9OpHDdWNccMEFQS/ykOHOO+8sZOe+++4rc6delsZG4P+fuoGJwxDoS+jt4IMPjjHHHLMsPhg2dj8ERMkhE4EhggDjeffdd8e2224bE044Ydx///0lx+3dEOZmJJ977rk44IADgjHire+4446hDcN1yCGHBMO6//77R82AMM7vv/9+7LfffqUeI8+IMzqM9CabbFLC8tryxuXVt9xyyxLu563z1JUaIIzoscceW4iKsL4+hh9++GCURBAY1LXWWisY/uOOO66Eyhm/o446KtxnZEX7GGGyMGwbb7xx2WvgnR9xxBFjsskmK0YdKaEH0oMgMaxVVYWoiXNheOsFI6x/cohSjDrqqDHBBBPE0EMPXcTWx7nnnlt0ggdH450mknXmmWeGNggWY//WW2+FNcg1+sCc7nSaaKKJCinRz3jjjRfXXHNNIVL03HXXXYPsjHmNGBmYvMjY1ltvXQz3KaecEkcffXSJoBxzzDGFkJhTBAKhM0fkQ/a0IY/xRDUQtRruq6++etAfmUD0jJWlsRGoGyLgZbSobLrppuVF8fJ6AUzvjz/+WMKGXiznWRKBekSAUfn444+DAWDEGGz5dwZ53HHHjRlnnDEYnX333bcYWgZv5JFHjs022yz22WefkFLjNS6zzDLBcMGIEWa4GEwGmuHnYX755ZfBYx5ppJGKQWLwpptuumCARCQY37Zt24Zrir6Ubt26lYgE47322mvHFFNMUbzSu+66q4yv7eSTT16u6X+WWWaJNdZYoxAbsjHQCMTUU09d+iYbr52+dHS++OKLl3TBtNNOG/BgYFdbbbWYaqqpiFAiGqIb+lpxxRWDEWdAGeEpp5wyxh9//JhtttkCbhogQtaX5ZdfPkQcl1566RA1QLCWXHLJQKYQINec67d169ZlfwFSAuNZZ5217NtAoGDXrl27gptognvrr79+LLXUUj3Ih3HppC/Yb7DBBrHLLruUeYOtuuS0pokywFqfK620UolaIB/mnzOEIJofMplzZAke+iSbsbI0NgIDgwg0CwSF/dq0aRMWJiFFnocFyKJ46qmnBu+CF9EshE0hEoGBjAAjyUNebLHFyjuw4IILFu+e52coIWfE2CejwGt1zBNlIJyPNtpowUgxkowqI80YVVVVjCKDqy+GeJpppgmeJWKhX/ltdZXaOYPF+9amVnjzog7O9Wdsx4zw9NNPX/LyvGoGXZ/kqqqq5Or1TT/FOy7i4Zp6PvVhTP0xknPOOWeceOKJIfRvLaiqyq0SEeAcMKDqq0v3crM3v+hg7YANw8x4ai8VaZ2BIXnpxvCOMcYYQRc4kEnRB+8buVhiiSWCw4I01PowLB2qqruMzpWqqnpgb1xyIjdSBaI+k046qWqlkEMf6iFR5WLTL+PZ84DIwVMdslXVP8dqqpr/GhSBVvWgt5dZNAAr55HceuutxcvxclpUZphhhuIheInqQd/UIRHoGQHG6Prrry9e6rzzzhvzzz9/LLroooEYb7PNNiVMzgh17dq1eJS80A4dOpSwNoPKUPLI27dvXzxSIX5heDnzhx9+uPQrTy2UjDwwLELpdutLL/CMkRD3ebw8Y6Fq48tHP/jgg8FzJTMCgWAcfvjh8fTTTxcvWR+8d/0h7XRhPIW8yWfPgD6MIbwtLM/YMuRkFMmQS+c5896lOUQEl1122UJsGD8es/EVBGSRRRYp6QhpESkEuPGWjUd+kQvrivqiIyIVIgfC75wLXjwjLr0gfI84Mcr0hQF5YIagMbpSARNPPHGJ1uy0005x6aWXllQDGc8+++y4+eab48033wx4I1rGVRh3WCJn5mnhhRcukQb1zRHMpSHgpT0sO3fuHFIcq666asF9vfXWK5tH1aUXvESPavoZJ0tjI9D/RKAZ4uVlw9i9pHKVFhkvqpCgBVCYz8toAWiG4qdIicB/QsCCLhImrC2UX1VV2Y0vRC78iyTzvBkHhkZoe5VVVimesXC5+4y2UL30gXeI5yplILLA0DMqPElj8WZ33333QLSF1oWhpRN4ooyRMHdVVdGxY8cS7mYkEQhKMso2IjL82h100EHhWHRB6FsfjCN9eMzGtJmOLq4hOQwafeggumBjsKiACMBWW20VY401VrhfVVXQlezGrpWqqgpZ2m233QLZgEGnTp1KDp/TIGzuOl210RdM6DjTTDMF+ZAZ19ThgGyxxRZhfH2KDAjRSyWQRVRCfVECRt8nUuCT3ggQsmOdQtwYf+Mq+leXASfnGk1pEtEN+0DM2fbbbx/WOmsbcgR/a54UhsiPsWtpBGmWqqrKPgbPCfJgjCyJQF0QAQ+1vFe7du2C128RM7UYvpfouuuuK15RPvhQyVJvCDBUK6+8cvlOPscCOcsAABAASURBVK+UfrxYhnzvvfcOxlyOm7FgpHn03gVGQ7h7vvnmC2FjHnVVVSUnjxTwPhlgho/hd6wP75fxGF3vG+PJAK6zzjrBiKqLBJCFgfRJplphHMmmDuPqPqLuXKqB7EgNI2cM3rs+GXSG3d8e4OXqh5FzTz/WACFwZIHHbEOdNQFhqY1d+0Qw6G0MBpteDKxzuizZlPvv2SCLKPiaIgNfIzVkFIG0b4Is+kCMyDz77LMHnJEX8sOFfJNMMknZZ4DE0Jk86unbp7q1/kU1zJv1baGFFgqY6899eq6wwgqF6EiVIEfmUmRDX7XUALnsYTDvruljjz32CG3No/GzJAL/RgRaBEI8DpuPLGQ9C4wxeykthBarnl/snuvlcSJQzwjwEOW2vSe8cLq6xhD5rrxwumv1Uqqq+54CGwoZxpaqlxQBQ46IiTr0TY+qqgL5sHehb/XyXiLQOwTqggjwiLB+jLxXJV23Cxkb7/VenicCjYAAgrzRRhsFUmyDGZ2F4HmvPPAOHTpEVdXPxjFpAnskeOG8YPq2xMKREZmRMpljjjn6OEdVVYWoBs9/gQUWaImqpsxDGIF/EoEhLEwOnwgkAgMfgaqqyl+tYyCr6v8NvhCzaz6jzn6qqoqWrldVVT3m7d90cb9e5zLyZ5AjkERgkEOcAyQCiUAikAgkAs0TAVIlEYBClkQgEUgEEoFEoEERSCLQoBOfaicCiUAikAg0GgK91zeJQO9xyauJQCKQCCQCiUBDIJBEoCGmOZVMBBKBRCARaDQE+lXfJAL9ilTWSwQSgUQgEUgE6hCBJAJ1OKmpUiKQCCQCiUCjITDg+iYRGHDssmUikAgkAolAItDiEUgi0OKnMBVIBBKBRCARaDQEBqa+SQQGJprZVyKQCCQCiUAi0MIQSCLQwiYsxU0EEoFEIBFoNAQGrb5JBAYtvtl7IpAIJAKJQCLQrBFIItCspyeFSwQSgUQgEWg0BAa3vkkEBjfiOV4ikAgkAolAItCMEEgi0IwmI0VJBBKBRCARaDQEhry+SQSG/BykBIlAIpAIJAKJwBBDIInAEIM+B04EEoFEIBFoNASao75JBJrjrKRMiUAikAgkAonAYEIgicBgAjqHSQQSgUQgEWg0BFqGvnVBBP7666949NFHY4899oirrroqnD/22GNx5plnlll4++234+CDD45TTz01/vjjj3ItfyUC9YLAn3/+GZ999lm8+uqr8frrr8d3333XW9W++OKLOOOMM+LLL78s970nDr755pu48sor49NPP3X6P+Whhx6K6667Ln777bf/udc/Fx5//PG45ppretuELN7ZCy+88H/uu6f8z43eXCCjteC4446L66+/Pn7++ecetfTx448/xvnnnx9PPvlkj+uD88BcnXPOOfHyyy8P9GHp9+KLL4b+f/3113/tHzYPPvhgHHXUUWXddP6vjfpSgW5fffVVWG/feeed8kx+//33vW3hmTM/6tYq/P7773HXXXfF7bffXrvU358w6J9G/Vu/f/puSXXrgghUVRWtWrUqi1W7du3KQuhlv+yyy8KPB8yLN8YYY5R6rmVJBOoFAeT2qaeeii222CKOP/74+Oijj3qr2tBDDx0jjzxyeQcs+hZrhnOooYaKEUccMXz2ruGzzz4bN9xwQ3iPene/X68NN9xwMcIII/SxunFq72zPlRgLRKfna306fuaZZ+KKK66I2WabLegLG4v9J598UgyTdtYGeDke3KWqqhhppJFimGGGGehD09Ocdu7cuThD/zbAI488EsjXIossUp6JfiEPfeoTzoge5+vWW28NBOPqq68uBBNB6LXdDz/8EPfee2+89957PW7V+kAGelzsjwMkr1u3btG78XrXDTJi/H6t37s+er3WUs9btVTBe5V7tNFGi9FHHz2mmGKKeOutt+Knn36K8cYbrzwU77//fsw777yx9NJLR1VVkT+JQD0hwKgwfJNOOmksuOCCMdlkk4WFlrH/4IMPgpdGX0Z42WWXLUb/gQceKJ4xw8FAL7DAAtGmTRvVwvvies0wjD322KFOudn0y8LJsL777rshymDx1Yb3V7vOKBlXhOKXX34phsm7Od988zX10P0f4/7aa6+V8T788MNiIBESC7pzxEOdQw45JLp06RL6796y+2/n+v/666/LBZ+33XZbkIdDsMQSSxRdXRcJcQ/ZGXXUUcs6gDBZJ0rjpl90eeONN/4nakgX96wr3377bVlTjF2TEx5Nzcs/eL/55pv/6IOxUdRTllxyyZhooolKhEX0hp7uk0W/iI9rpcOmX8bVLzlgCVdjkx+Ra6pS/nGGxhlnnDKP+vn44497kDf9mSNtVDbufffdVwwxB2nFFVcsMsOzNu/G0g/86K+d9r3DyHydcsopMckkk8S6664bK6+8ciy88MLh2aEzOT0vZNKPZ9E9x54143jG2rZtW541OhqTzur8W9E/AnHRRRdFDSvtYWl87WFmbkS+vB8iEkijZ9b9Ri51QwRMYlV1N/LYfvv27WP44YcPD/PDDz8cc801V/GG1MuSCNQbAsgAI+qZZ1Ckwo444og48cQTY7XVVivkmMe2/vrrF8OLCNxyyy3h3RBKl1azIEut7bXXXiWVdvHFF0fNKPSMl2s8v1VXXbW033nnnWPttdcOBsL1XXfdNRgGaQDpuK222iostmeffXYceuihhRQY87DDDosjjzwyZppppjAWj5CBItemm24aN910Uwh133jjjYUI6LMmB4N02mmnhbLxxhsXOYzPw/XJKMBBfUaWXjxVBgZWL7zwQtGRbMZlpKRHYLbDDjsEo6Gtov2xxx5bZD/ppJNC3S233DKOOeaYWGqppUJ964yIxuWXXx4HHnhgMIquMTYwgSkjhaSstdZaRV4YdOrUKa699trYfvvtQx0yMKT0YtzuvvvuECXZZ599SlSma9eugeBceumlsfnmm4fxyFgryAAjd/TRR8cyyywTtVSLuXdM1jvvvLPMj/TIE088UULxDOYJJ5xQ0gRkeqcptG/sbbfdNui+//77h2gL+Q466KCiew1fY+sLaZtzzjnLOsuoTznllAUfkRkGVz/0JDM54W6e1lhjjVAQHkQNvsYj/z333FOeF2MgBUrt2GetmC/ymmPRCPLDyHtwwAEHFBJ5ySWXlHTxRhttFE8//XRJQ3jW6FXrp/8+66d2q3pRRchzggkmCC8jdjnttNOW8JuFTqTAYsND8kJ4wepF79QjEegZAd6PRdY1Xte+++4b448/fsmJjzLKKCU8PuywwxZizDPlCY455pjB6+M1Mrbrrbdeuf/888+XHHtVdSfY+lRat24dSMCMM84Y3jMGjCfIs/SeMRR33HFHMf6LLbZYMDa1Bd3+BAZSHrh9E1k//fTTY+qpp44OHToUT5D8iy66aKyzzjrxyiuvxBxzzBEiHYwjw2J8cl533XUlgnD44YfH8ssvXwwTL1vUD+nfYIMNikFSf/LJJy8RQX22bfI4jQ8TRpHRESJmjH0uvvjihYCIQGir8KSRB3qSU/QRGZp55plLVAXJkDrxCUs66881Rpch2mmnnYrHrS2sGS7rEl3o6D5PVmTn5JNPLqF1Dg1jNssss0S7du1K6pOhRExEfhAK2JKx54IImMO999677BeokTD4TDjhhCWFBFOEYrnllgukS8RkmmmmKYbS/CI5xjJfSI86jLlnioEW9vd81MZFAtzTtnbNp2fRmnvzzTfHfvvtF1tvvXXQldF339wjjKID5pShV3bbbbfyjCEvsLaOI472wTD2+vJMwU8/nm3zLuIlGnHuueeWFLFIV+fOnUsKhIx03mWXXQqe6qtrzvXRyKVuiICH1iKCbc4666xlkfCwdenSpaQE3OMFCX018oSn7vWJQFVVJdxdVd0/LcqMnggBo2dBRgCUqqqKUaoRYnVchwzj7r1hrCzqVdW9v6rq/qmOIv0g1M9bt1AzgLxfi7jx9MHjc24BZzQZU96hTySAEWYgLNbaqGtBF7ofa6yxSkTPWBZ7xbHiuFu3boU46MtCTn6hYPeMq17PhYzWANeqqgryMsoMkHHJ4lNUhSGmn7oKWaeffvrimdciCkjPJE1hcPd4waIQn3/+eUkbMPCMMI/ZmLCfYYYZimGDKbyrqir6GV8K07h0lp4xb9qSyac+rGkiH+op6pBBX2SsFXXpZm60oSMiQ24YLbTQQoE80VVduGhrXaz1JboDS3X0Jd1gXmr62eOA7JFbW8X8kZUT5rxWzAVCxwnTB9IDNxEIWCAk4447bpALQTN/E088cUnrIkUiC+ZaNEk9/SKZiI4+yOQaWT3PxnPunmcNpqJi5nPJppQMcoU8GUd9RVtt/q3U8/26IQJeNrkfk+UF8Ik52wiDBVdVFXY/V1VVIgXuZ0kE6gUBi7D8qxy2hc25MLvFnqfLA7XouW9RpjcPiZFwjxfpugXeAi26xhhYnN3Xl8VTO4UB5vnyDI1rIeflTzXVVOX9smjzcBlF/VnQ9U8W7RF3svDweGkMFqNkHPKTR13yW9AZA/W1dc6YCK3zWF966aWSm2Yc1am1U7dWqqoq+XAEhz76N55zxotREw1hXOlG5lpb+xj0zeAL0zM2+rDewM+Y9j5ox/umO6PLw7ZJWUiaRyscDUM6am+OzAFczA25a/fJZ0zXGDsGmaGuqqp4urX27sOrJqtPfZKDAUYIRERqsumHbnQgh6K9OjYP0kWovLaGGtszwPgjl+YaVuaAjsZTRC2ss3Q1Nj0YYwQDudSP9IEcPRlgA3eYw4GsrlVVFebaPe0Rrfvvv79EheAklK+958qa75rxlaqqgnz6RCYQKc8V3emgT9Ej86lP19VnJ7Rv5FI3RADbxPyE4TzoQk5e2vnnn794Sh4aLz7PpJEnPHWvPwQscsLQFl2hZKFWOXDG54ILLojnnnsuRMZqoVefPCTt5ODlaRk0izHiLA/MQFrsGQpeP6Mu/84w1xC0wK/RlN+dffbZw7FQNSNhgZVy4Lnae2BhZvjJxxAYs6qqEq4VwZPHtSFQ/8jHeeedF8K/Inhk4v3J+5LJ2ORaaaWVSspD/3QTumZ06UwX+fiakWCwbBZGOuiqH+Fq3x4wnnx8x44dy+Y9njwjy6gZS2GoRAlgKyxufNcYPfsBpBj0v+GGGxZnQ9jaesOY7r777iXHLqwOGxv0rEMMkT0QcBXGdl0Uxdw5Z7R48cLo9ln4SiBDTH5khYfs2NzCipyK9IkIyZ577lnSC/YRiLBss802YbOkVAyjzRgy/MiUvoXs4SWHjxisueaaZU8AI+k+wysiIR0Ac/PJIBtTETWwj6GqqhL6F37neBlbNMReDBiSGz6IB8xEhOwxYfDtt0AoPTf0RkrMs/nyfHlmq6oq+X5EgwzIkfHhLWqDBHkONtlkk7I/DLH1PJLfWPao6L9DUypKn/YSeD718c/SWGd1QwS8nCa29nC2adMmPIAeEFPqYcKyMUAETcNIAAAQAElEQVSfrmVJBOoBAYaOsWRIGRKbA3nqDIowr01UDIAFlwG06CPKcqdypJtvvnkwphZdBkRbhtWGN7lpZEKuWwi/9j7BzUIsf8zAMZyMB0LuHq9Ynlk7MriPqDN4+mRgbGhzn3Hw7trPwDjJ5du4ZuFG3I3BGMpx61sRUlf/+OOPj/333z94gAiJ3Dwju/rqq5fUgbrWhk6dOoW6CAqyYEwGnLHSXogaIeBxrrDCCuXrdNoqc889d9l0Z6Mg4oMEMEAMI52QA7i0b9++/O0C+DFyrol2mBcb5Rgy5zxjmyS33377oC/8GWobAc0NeRAf/TKM6pDNnDGwiBRD6fv/5k1khpyKvVKIlZw/UoMYuC5igSzS23wxmvY0CLPDG7b6Y6w9J6IRPslOz6qqQhskUT/2KNBP30pVVSGKZMyzzjqrbMSEledAPfNhbGkJOJkThIVexrXnRNRIpIfs/g4E8oBgaGvOGHjzJ3Lg2RT2R4qMr3hWOH9SAJ4H/ZAVPuwCEuA58tx5HmGCMJor7Ru51A0R+LdJFNqyCcni5YH7t/p5PxFoKQhUVRXIQO3ZdswLUjzrPhXHFmX36ebYp3sWZqV2XlWVwxJNU1/ftfvlRj/+0reqxtJecY1HJ9KAZAhFC7tb1I1DTmOq57zW3mevhZesb9fVV4yhj6rqroN7VVUVXfSnqKeOYxHEqqpUK2mNctDLL/Vr9XjRUhIME++5l6r/0wf5jKOefpz7pKPr5HBek9u564o2Su1Ym6qqCslxrI226vRcyNrrdeMq6unPfUXd2jV4Oq6qqvwdBvXI41qtaFM77t0nksTr1rbn++Ttta1rtTF7rutarT2jjSAhuAgLwon4Ikn077ldTT/Xqqq7Do4V9/RbVd3n2rXaGI4bubRqFOU9cBg2Ftjrw9MoGKSeiUBzQICh8DVGnigPWfquXbt2xVA3B/n+TQaRRhsgfU++V8P2b23z/oAhIIpRiy7AXHSlRmAGrMds1TMCDUMEakpX1f+zwdq1/EwEEoHBi4AInY1swrwiAYN39P82mhC4r03yTtOp+G9YDpnWOWqvCDQcEegVgDxPBBKBRCARSAQaGYEkAo08+6l7IpAIJAJ1jkCq9+8IJBH4d4yyRiKQCCQCiUAiULcIJBGo26lNxRKBRCARaDQEUt8BQSCJwICglm0SgUQgEUgEEoE6QSCJQJ1MZKqRCCQCiUCjIZD6DhwEkggMHByzl0QgEUgEEoFEoEUikESgRU5bCp0IJAKJQKMhkPoOKgSSCAwqZLPfRCARSAQSgUSgBSCQRKAFTFKKmAgkAolAoyGQ+g4+BJIIDD6sc6REIBFIBBKBRKDZIZBEoNlNSQqUCCQCiUCjIZD6DkkEkggMSfRz7EQgEUgEEoFEYAgjkERgCE9ADp8IJAKJQKMhkPo2LwSSCDSv+UhpEoFEIBFIBBKBwYpAEoHBCncOlggkAolAoyGQ+jZ3BJIINPcZSvkSgUQgEUgEEoFBiEASgUEIbnadCCQCiUCjIZD6tjwEkgi0vDlLiROBRCARSAQSgYGGQF0Qgb/++is+/vjjeOGFF+Lll18u4Pzwww/x3nvvleNvvvmm3HP/zz//LNfyVyKQCCQCicB/RSDb1wMCdUEETMQzzzwTSy65ZDzxxBPx+++/x2mnnRYbb7yxW/H+++/H1ltvHeeff34gDeVi/koE6gSBP/74Iz744IN45ZVXyrP+1VdflePXXnstEGLvw9tvvx2K457VRoxPPfXUePXVV3u+3OP4888/j6OOOireeuutHtcceI8Ux/9WjEEW76S+EPNaG/fIf88998Stt94av/76a+3WYPukx7PPPhs33nhj/Pzzz4Nt3J9++im6dOkShx56aFx++eXhfEAGh+GPP/4Y1113XTzyyCP93YVn5N13343XX3+9OFTm3Jz02tFvv/0WN998cyk939P2vPPOiy+++KLny/10DHulnyo3Veqfuk3V818/IlAXRKCqqph88sljggkmiOWXX74sik8//XSMMMIIPWBYZJFFYvvtt4+hhhqqx7U8SATqAQGL9t133x1rrrlm+HznnXdi3333jf333z8+++yz+OWXX+Kiiy6Kiy+++H8MXVVVMc4440Tr1q17CwUjc+655xaC0XMFi/5HH33UT8S6ZqQmmWSSGG+88cK5vr7//vtifCzuzz//fNx3332FxLs3uMuII44Ybdq0iVatBt+SSF8OzDLLLFNwZIjNVf/oDkMkhpG+//77A479054RP/roo+Oaa66JRx99NPRxyCGHlDW01348C9ZV5KXnewgMEtczwev5ft+O6dyv5I+OIr7k6Fufea//ERh8T33/y9ZfLSwmXuKqqkoaoF27djH66KOHhwdLnmWWWaJt27b91WdWTgRaAgLDDjtsLLroojHppJPGcMMNF9NPP30wLq63aTJuQw89dLRv3z6WXXbZcp+xYMTpJkKwwAIL9Hg3vv3222BYRAgs0vobbbTRioHu1q1b8dgZKx7sZZddFp9++qlu/lFEJmrRB4v2Y489Fg899FA4XnXVVctYFn/e5ZlnnhmIi3fVWFJ8zmsdIg3k6d04X3/9dXnXP/zwwyLXd999V0iP6Ih+an3w8qUFv/zyy9ql4r0yKnRx0doAI1ippy9GUnSF3PQxnrrWmk8++aREXbR37p426iFJ6vVc1BMVqemmPoPqHAkZfvjh44orrugReaFvz/KRSRHdNJ6+YXPhhRcGbxzhg+EwwwwT5K7Nr3o8fnNuTOe1gkQcc8wxJQqw1lprxRprrBGLL754zDPPPGXdVE9f2pLf/CCNPskHY9iMP/74Meqoo4Znh/41+bTvU9HupZdeihNOOCEef/zxQlDJ45qIhHYIrkgU3GDrOTr++OMDGXFPnSwDB4G6IQK8fy+Ch90LNNtss5VFzwNrYZh33nl7RAMsfgMHvuwlEWgeCIw77rjBoDMMCHGbJgJgUWUkeWyMgTqXXnppCe3utddeZQG20K+yyirBM3W85557BgO/+uqrx5FHHllSC/qzCGtzwAEHlBD2XXfdFcL5Fv4aAoyFNMPZZ58dBx54YJDFuHfeeWd0ayIRCLnFvqqq0i/vE0GQztOHOldffXUgC127di3GGuHgbe62226FoKinMHwXXHBBXHLJJbHDDjsU+U8++eQ44ogjYtddd42OHTsW8sE4MZT62WOPPQIeb7zxRqjLE1YXKdHXiSeeWIzZ5ptvHrzi4447LtZZZ524/fbby7koCyNPZ+OedNJJoQ96H3TQQWXsY489NhhV48TfP4wWTBi9bbfdNmDHiJofRvbBBx8M+rr+4osvlhSO/mGpfwZ/xx13jH322Sd81jxvax0yZW60Mxyj+X/snAfcleP/x79XVqi0Fw2lpUmb0tQio5LIqOwREb9QFEXZmUVG2URKUTLaQ2jvoT2lrT3+z/ub0/+JovHUc55zPr3czzn3fV/zfd/X9f1c3+910N877rjDuMb8R930//GEZ4eQIB0HYo++PfDAA5Y1a1ZDBGHQGzZsaHny5PHn2717d6MdsKPNpJk3b5516tTJ6tev72kQnHDu2bOn1atXz71RGHrqQBTAl+9wiFznE4FHn3k/EFaDBg3y8MZNN93kz3rkyJEeziWcRB9+/fVXgxXpNIdDNOmOmBECqNRMmTJZ7969LVeuXO7uZCXAZFS1alVXrChqBir7BZjEeEmTDqVKEoHkIxBC8D0yTPSssFgZ4gXDiGK4WMlhcIcOHWolSpSwEILH5DEAGGs8Z4MHDzaMDAYHA3jxxRcb4oFJFy8DRozVGKK7cuXKhlgoX778vk4zQY8ZM8aNI8b0888/N1amGJqyZcu6UUWskwEvw3nnnWeE7DD8XMMI3XLLLb4qpQ8YCOorWbKkiw/6gtElLe3EEJIXIcCKnrAfooVVLgZpwIABhvDBgJQqVcrbQh8x4CwUMIyZM2d2FtRNmZSRJUsW73fr1q3d00CdCAYMMoaV8plbYIKBpY8woQ0IEdpAu2knB/MMK/6mTZt6uTyDwoULG/MSnpsbb7zRYA2LunXrWpcuXTx8QvkwRPTQLji89tprljZtWor1MAvXKIeVPPXQdoz2ueee60KAkBACi3R4ang+njnhD8YbI807kHC67z/az3uEKEPUsLeDfrMHgTp4t3hH6A+ikWu0j2eBGOBAnOBRQlDBCNGDeGCfFnUiKHgmtBPxycbuIUOGWNGiRY3VP2KGa4UKFTJEFu8b7y3vNO8T8/2+BuvLUROIGSEQQvBfCTDZValSxWN9vIysjCpUqOBuSdQzL3elSpV8MjxqeipABKKIQIECBdwrgDFiom3cuLFhSFh1sYeGFT/XmbRxAxMqYDXHpBpCsHLlyhkGCwPMZE8eVnEYBgw4YwmDycSPcWRC57v99W/hwoX7vG558+Y1XMa41kmD0GAV+FdS/6BsrnNCHYgD2oJBTZ06tbFKxOiFEKxFixaGkSQd6XPnzu3hENqKV4E+YYwxHOTHvU1avIP0KU2aNIaQKVKkiO9LoD/sKeIa7aJe2IQQjH6yqMBlT38RUZRNvYgm3NW0i1AMXhPuwZH2U1dEXJA+cmBsEWTUQ1rq5IAjfBAWCC6+47GgvXkTGHbu3NloB/koH0NPXyPl7ty5c58bn/7SL55dpA0YU/qSLl063yOFMY3kpU30D69E5BqftAGRhYseJlxjTkU48MxgTzsoK4TgYSN48LwRWLw31IsAoF/Vq1f3/Qd4rPBOwYEyefb0me94bUMIBhuEDAIEgUN9hI9oD2nJQ/vIoyPpCKRKuqKStyQmDl44JjgmAgYELi5UKi8Xg4SX8vLLLzfchpGBkrytVu0ikHQEeMeZQFn5MfkzKWNAWGGxSY8JmlUakzEGi3uMCVbCGDgmXYwMxhPjRx7SYgAoA7c+rnHSMqYw/EzgkR4UL17cf77LChw3MmMQY4tBIR8r6sSTOEaG1TQrVu4z2SMuSE+b8OxNnjzZV+y0l/6FELw60mBE8Uqw+qZODCvucNpHPzGkeCJwQdM36qNfcMDVjDseDwH36FukftrEd/rOJwecIqKGVSvtgh/9Ye4hP5wSt597NJZyWCUjGDDwrLZJS7mUiYGDO8IHpqVKlXLXOOWTn0/Skoc+ci1yYPQJQ5APZqSjPPjQJsQhK23Kp/+0NZIXDqzqWd2zgIIbfSdkQzthjgcBzjxPVu8hBCM0gHcVwYJXhzI5p/0svnj3EBnUWbBgQSO8QFt4nyiXttEG2gMvng/vCp4PWJGPZ41wxZNRunRpD1eRnufAMyYdZehIGgIxIwRQzQ899JDHrUDDAOAF56XknIPJgZeKl5FzHSIQawRY1bdv396YgCOrQH5NwOSKUCb+Suwb9zSTNT+ZYzXHHgEMF4YAlzruYFy5hNa4j1ehX79+7qLH3Y6BJS0GPMKQVSNuW1zbpEGEs4rFlY6B+uqrr9ztG0lPWIGJHWPD5I4gwxiwvgAAEABJREFUoA52rxO/ZgzXqVPH9xsQKkBUYAzIjwHBw4frOX/+/L7BLYRgxMhx42PU+AURQoEFAX2mTFayHTp08JXnG2+84RssYYMBw0DTRgwcPCg/hGBffvmlwQRDiweiXbt2np8QAwYMw4Z4Qoyw1wDRxH4I3Om0FYOKeOBXAixS4Dx+/HhDsFEPv+bAU4HBx/ixv4L5jD0LlE97YI3BpC7KjByEFjDCGG9EGSz5BQCrfIw793kueIm4T/8jeamPX1KxnwAWPDs8SLwXeDvwllDevffea3haCD9wMKfizqcf8MVo165d21i5E75hXwMhJQ68OLSd/sCP540goA14FnhfCefyPtFWyuBZEzrhebA/AP7UgxDJm+Al4d2lTsrQkTQEYkYIgINJIvKChBB88wvXOZiwUN8MSM51iEAsEsCoMWlivOkf3i+MDN+5R+yflTDGDKOASGCyZ9JnlUu8nVgwseVq1aoZRpT7uMAxoBgc4v+4eXv06GGsXimbg7GH8Wf3OyIC0c0qGFFBPjbbIU5Iy8FYJC2rUlaNTPh8x5gQSyZGftddd/kGMTbJISrIx4FBwOAQM6ddlMsqEUPFznKMGgaNOQFDhgG/7bbb3M2OcaVNbMijjaxo2TyICLn++uv9Z4z0DdFEPtoGH8QQmxbTp0/vmw0JMyJmMJrkxYgRwmCTGxsDqZ+20gb2IyBGWrZsaZQNW1zn7KugTkQPxhjDidFEBGDQMZSsilnVUybPjDIjR8WKFX0zI3srEG0IMDZ/IvAQKhhbuNOPG264Yb+fVFMGbSM9bSc9+6cwwjxL4vG0ibYQZsILRHmw4oAnoiCE4P/PFsrgWfBsEAGINZ4Rz5B2IrIol42I1M2CjPg/xh6mtA8eMOYedeJJoVz2UMCTZ8veDUQMZehIGgIxJQQOhgQVShwRJfr3gXSwPLouAvFAAHFAP5mgmYwxGBhhxAKuYyZ67ocQfN+NJfyL5En4esD/QthfhGNsSEgdfB7oCCF4CCBSdgh7zw+UNvE1XOOc47rGRc5qku9cO5yDtoUQ9u1xCCHs6y/3OCzhX6R9CV/3/RfC3raSJvH9EMK+NH//EkLw8kMI++q0f/zbe4Fy+RZCcEZ8P9ARwt77kTaQL4RwoKT/uBbC3mcWwv7pQwju/fh7hsgzTXydeqmTawhRBCkiALGIhwqRQegqkoZ0/3UkLvO/0ur+kRNIdeRZU05OYmasJtidy4uVclqulorA8SHAag/X7K233ur/DwLCCKzYDzThH58WHV4tCBZW26zcGeuHl1upjwUBNiLiQQghuNghLIKHyPQv6gjEhRDAzcT/RwAXXtQ9ATVIBKKEAKtrJm5cw3jPUooIAB/udPYKEMtmvHMtpR1qrwgkF4G4EALAPRx3FOl1iIAIiIAIiEA8EIgbIRAPD1N9FAERSCkE1E4RiB4CEgLR8yzUEhEQAREQARE47gQkBI47clUoAiIQbwTUXxGIZgISAtH8dNQ2ERABERABETjGBCQEjjFgFS8CIhBvBNRfEUhZBCQEUtbzUmtFQAREQAREIEkJSAgkKU4VJgIiEG8E1F8RSOkEJARS+hNU+0VABERABETgKAhICBwFPGUVARGINwLqrwjEHgEJgdh7puqRCIiACIiACBwyAQmBQ0alhCIgAvFGQP0VgXggICEQD09ZfRQBERABERCBgxCQEDgIGF0WARGINwLqrwjEJwEJgfh87uq1CIiACIiACDgBCQHHoD8iIALxRkD9FQER2EtAQmAvB/0VAREQAREQgbgkICEQl49dnRaBeCOg/oqACByMgITAwcjougiIgAiIgAjEAQEJgTh4yOqiCMQbAfVXBETg0AnEhBDYtm2b/fbbbzZt2jQ/ZsyYYUuXLrWdO3fa7t27bcGCBX59+vTptnXrVlu5cqWfT5061f74449Dp6WUIhCFBHbt2mWLFi3ydzoyBjhnXByouXv27DHGSLdu3Wzjxo0HSmKk4eAmZX7wwQc+djg/nGP16tX2xBNP2Jw5cw4n2wHT0p633nrLRowYsd/9WbNmWa9evWzdunU2bNgwIw0JSM/457sOERCBgxOICSGAcf/hhx/sqquusrFjx9r3339vjz76qI0bN86FwJgxY+y2226zTz75xJgcEQ1t2rTxCer3338/OB3dEYEUQAAh8PPPP9stt9xi3377rY+Bjh072oABA1wM/70LIQRbvny5DRw40DZv3vz3237OuFi2bJkLgrRp01rOnDktVarDny4wxB9++KFRliXBv1y5cln69On3K2nNmjX2448/2qZNmyxjxox25pln+v0VK1a46PcT/REBETgogcMf2QctKvlunHHGGVa5cmVLkyaNNWjQwK677joXAP369bMTTzzRypcvb+ecc47fI22JEiWsSJEiVrJkSStcuHDyNVw1i0ASEDj55JOtQoUKbqxr165tTZs2tdy5c9tXX31lW7Zs8RrWr19vEyZMMAw8F04//XQfLyEEQ0ggjqdMmWLbt2/3PBhvDoxppkyZfKxQBl41PAQICPLMnTvXxQJetokTJ/5DWDDeMmTI4OXOnj3by96wYYNNmjTJV/CrVq1yTwZGHO8E7eM+HgvqQEDgucO7RzsZu3nz5qUL7qGgHFb+1MNFREC5cuVcALzxxhv2zTff2OTJk42+4SWhDDwItGXHjh1k0SECcU8gJoQAT/GEE05wox+ZRAgNlClThlu+kjnppJPcG8BkRhomFkSCJ9AfEUjhBFit8z7/+eeftnjxYsN4Fi1a1E455RRfKSMK8ADceuutHkZL3N1BgwbZU089Zc8995y98MILbmBxv+NdYxwhCJ5++mnDgF5yySX26quvusHv3bu3ex0w1n379rX333/fHn74YTf2icvHUP/yyy/WqVMna9++vYuRVq1a2WeffWZLliyxa665xr777jsXLs2bN7chQ4bYfffdZ88884xRx5133mmffvqph/FatGhhpEU09OjRwz7++GN77bXX3OMAA9pGPQiTkSNHGvVS3qWXXmqff/65e0hI37NnT58PErdT30UgXgmkipWOMwmg8F966SW7//77rVGjRnb55Zd797jHxPHee+/Ziy++6BMZE4Tf1B8RiAECIexd2ffq1cs9YnjAMKB4C3Cbjx492goWLOhGGONJl0MIfLj3jLFStmxZI91pp51mFStW9DFUunRp9xwgoBHWLVu2dMFNueeff75hmLt3727z5883hAd1/fTTT15u5A9CgJX8vffe63sT8FZcdtllXi9eOfIRssuePbsLl5o1a9rdd9/t+3yuvvpq/06YL7LqZ1WPJwAR8eCDD3oYkHvUg6dj7dq1RgihVKlShrC444477K677vJ+EKrACxg5N/0TARGwmBECPEtWP23btrXGjRsbbko2KnGdwU9ckcHPioQ0lSpVshD2ToSk0SECKZ0Axvmee+7x1fS8efMM44xxxENA33DRP/nkk1a3bl1/90PY+/4TV2esEEZIly6dkQfDzN4bvp966qmGx40yCLvhGSDsRlruUQ/jK0+ePC608+bNS1I/QgjukeM+ew3IQ5mIdjwYIextQwjBRQBtRIgwlmlX6tSpjXx4OkLYm4Z+ssmXdKlTp/Z9AZRrCf+4R7mIhUiYg2v0mfAAXgHKQ3QkJNd/IiACCQRSJRwp/j8M/Zo1a4x4I3HLJk2auNvvoYcecncmKwQmQ1YQTELEHklLPJIJKcUDUAfimgDvNOEu4vkYadzgeAQee+wxd42zAsZVjvHE2BMmw7ByjrF/9913jbyZM2c2xhG770nDWMLtzzljiLRZs2b1vTZ9+vRxA0w6PAMYWcQDYwvDG3kg1EN+ysWrQDv4REAsXLjQ9wdQN9doD98ph3PGJ+0lD2XQRz45xwPAfoWZM2caIoYQRqQO8lE/YoA0lFmgQAH3EuAVrFGjxj5hQzodIhDvBGJCCGDU+/fvb6j8119/3WOcrVu39s1IHTp0sFdeecWvEetkEhk2bJjvmmbSHD58eLy/A+p/CieAsWRTXAjB4/QYWH4lwyY/4uzZsmWzK6+80nj/EcOs2PEYYCj5hU29evVcMIcQ7KyzzvKNfRdddJFheBlbo0aNcjc+wgDRwYbcm266ad/u/JtvvtkwtAgKDHyOHDn2EWX/Ab84IF7PHgXCdMT7q1ev7sKdXzvUqlXL8ASwmZFVPCKDDYkYcPJTP6t88rHyZ+8C9bFfgfGOCEGMICToO/1iY2DVqlV9oyCNSZ3gObjwwgudA+3hmg4REIG9BGJCCCAA+K0yRp3JKF++fB6vZIMU8dB33nnH+Hkh8VMmqYYNG/puYu6zOtiLQn9FIGUSwEXO5juMOpvriLkTI+f39JwXK1bMrr/+esOdj9HGNc7n4MGDPcaPYWfzXLNmzezNN9/0XxywR+Dll182DCzlYIT5HkIwvAJ4HagXYhjnDgmCm7ouvvhiDztwnYONgOwbYLMhHgrqJP5PG9nVzx4DNhjy01/K4P61117rmwoRN82bNzc2BfLTX/IxZhnP/DrghhtusLffftvYR4D3r2qC4SctP5ukrZTJ/ysB7wFigRCGxjtPRYcI7E8g1f6nOhMBERCB40Xg+NSDZ6Fr166+94GNisenVtUiAimHgIRAynlWaqkIiMARECDcgbcBzwehiyMoQllEIKYJSAjE9ONV50QgeggkV0vY0EiohJ8WJlcbVK8IRDMBCYFofjpqmwiIgAiIgAgcYwISAscYsIoXgfgkoF6LgAikFAISAinlSamdIiACIiACInAMCEgIHAOoKlIE4o2A+isCIpByCUgIpNxnp5aLgAiIgAiIwFETkBA4aoQqQATijYD6KwIiEEsEJARi6WmqLyIgAiIgAiJwmAQkBA4TmJKLQLwRUH9FQARim4CEQGw/X/VOBERABERABP6VgITAv+LRTRGINwLqrwiIQLwRkBCItyeu/oqACIiACIhAIgISAolg6KsIxBsB9VcEREAEJAT0DoiACIiACIhAHBOQEIjjh6+uxxsB9VcEREAE/klAQuCfTHRFBERABERABOKGgIRA3DxqdTTeCKi/IiACInAoBCQEDoWS0oiACIiACIhAjBKQEIjRB6tuxRsB9VcEREAEjoyAhMCRcVMuERCBJCawa9cu27179yGVumfPHiP9ISVWIhEQgX8lEHNCYNWqVTZgwAAbOHCgrV692ieWP//800aMGGGff/65ff31137/iy++sAkTJtgvv/xi33zzjfXv39+4Nnny5H8FppsiEA0EDtaGdevW+bvP+7xo0SI3lodqXA9W5vG4vn37dnv11Vd9bB5KfePGjbPnnnvO6O+hpFcaERCBgxOIGSGwdetW69mzp7Vr186YANesWWOvvPKKvfTSS7ZixQr76aeffNJ4+eWXPd3KlSvt008/9WtdunSxvn37unB46KGH7MknnzTKOzg23RGB6CKwY8cOF7Nt2rSxuXPn2vr16w1B+0QAABAASURBVO2jjz6yzp07G6vnw2ktK23K+P333w8n21GlPfHEE61mzZpWsmTJQyonf/78VqdOHTvttNMOKf3hJoLn1KlTbePGjYebVelFIMURiAkhwEQ3ePBgN+ytWrWyO++805o2bWrNmjWzYsWKWc6cOf3azTffbOXKlbMLLrjAz++991676KKLrHr16latWjW77bbbrEGDBu41QCikuKepBscogf/uFt6tXr162bXXXmstW7a06667zm688UZ/3xkfGDS8X8OGDXPBi5dg4cKF7imbOHGibdmyZV8liICuXbvajz/+aAjqSZMm2axZswzDuGnTJhfVo0eP3lfO7Nmz7bfffnMP2/Tp070cvHC//vqrjRo1ypYtW+blUO7ixYttyJAhtnz5cps/f77XT9t27txpJ598sht22kbakSNHer20HzFPnePHj3eRjlhJmzatpUqVyr0e06ZN87Koi/SMX8rgoM/U4Q1L+BO5T7spj89169bZmDFjvG94JygPBswrtAfvIvVzPaEI/ScCMUUgJoTA5s2b3XiXLVvWzj33XH9ATARMYlmzZjXCBaeeeqpfR+kzsDnJkSMHH8YkNGPGDA8RMNhZmWTJksXv6Y8IRDsB3mlCXxkyZLDSpUt7czFsGE/e/5kzZ7rHizRDhw61119/3ZYuXepueNLgGcNAe8aEPxhxxsOGDRsMr8ADDzxgvXv3tuHDh1u3bt1s0KBBbjS5Rto33njD3nrrLcNd/9hjj7mRx6giBMaOHWvffvutTZkyxV588UXD8Pbt29eefvppT//aa68ZAgYPxptvvmk///yz10nZc+bM8XAd3jnOMdiE9xARlPvee+8Z9RPaIxRIWO/RRx+1BQsWuEF//vnnXZy8++67Xg4CIKF77iFhnNMewogIjvfff9/bQ1rK++OPP/Z5Vmjb999/7/165plnXNxQjg4RiBUCMSEEtm3bZmvXrrWIsefhoOA7duxotWvX9gHNtYMdCAMmGSY8Vhlt27b1lcnB0uu6CBxLAodbNqtjRO8JJ5zgK2TyswLu3r271ahRw1ilFylSxCpUqGCMFYwyq148AnjL8Ixlz56dbH6cddZZli9fPjvvvPMsb968hiDAk3bTTTdZmTJl7OKLL3aXOWMG48qqPFOmTO6B4DuhOTwH5MMzQfp06dL5+KScO+64w411+fLlrX79+i4wGLvkxegzHpcsWeL149XgHOGSPn16u/vuu426SM8CgH5gnKtWrWq33HKLcf7OO+9YmjRp3MOAx++KK65wzwKCnw6GEOz00093Vi1atLAmTZpYqVKlrESJEr5ogE+2bNksT548VrlyZUMoIFYQMXhGvvzyS4rRIQIxQyBVLPSEQc3ExSqECZA+FS1a1Ighch3XfwiByxbC3k8/+esP8cnLL7/cWNn88MMP7mKMTBp/JdGHCEQtgZNOOskNN25wvF80NFeuXPvef8JdCGVCAHkTDDtxdQQA4TM2z7KPBsNNPo4Qgm+yDSG4sURgYFiphxACnoXMmTPvE8sY8FNOOcUYRxh8DHeVKlUMccEKnZACaXD9U4Yl/CN95MCjEUIw6kHU4MW4/vrrjVU6ngDS3XrrrYZbnlU8baC8SHq8GZxTPkIFL4Yl/CMf9SEaUqdOvd/YJy/XOUiDlwF+8AkhuNeAflAu5TGPIEpoD0KGdiZUof9EICYIxIQQYMA3b97cGNDsJGZjIJMGK570CasIBi0rF+KHDHbimXgMuMZKg1gl7tPixYvbPffcY506dfJfGDB5xsRTVieimMDRNw2jVrduXStUqJBvkCUujxeA9xwPF0a+T58+btwx1IQDGB+sulmxY0hxq0dagvFjzOCapwzGAat8RPazzz7rq21W5YTfGEccjCMOxlykPDwLeBUwnqSlPoQKRhfXO+OR9OTnO/doG4aXcVqrVi0jvk+Yg/0NeDeogz0L5KEeRES1atWMVTordvJfeeWVvn+B+jgnVEA9eCjoI+OeuriGJ4XwAuERWCEYuE4ahADeAbwptAkBRMgEDiH8c0FB2TpEICUSiAkhAHgmQURAgQIFPD44NCEWirpv3769rzQY2Azi3LlzG6sZJonINVZHiAgmDVYiV111lZGWyYKydYhAtBPgHSakVSHB/Y/RZEMenjJi9nwiFPBykQ5XPeIBg0y6Sy+91DcVRvrI6p/0jAmMKAYZlz3jhQ21xMwRAtTFd8pkfwJGExc7RhNjicEmD5sXMbbsycHgIwpYuTMGaRPl4HJnvJKe8AVjkWt4AvBgUA9x/UsuucSog3yMZcrt0KGDUTYeQUKBuPMJEeAVQSyQhu+0i/IROeSnPkQO5cOAUAPhCvYZIWKoi37zS4bmzZv7r5HwRjDHIJYivPQpAimdQMwIAR7E2Wefbddcc43v/ucXAsT/iEmGENzFSbzwqaeeMiZMVv8MZibFJ554wvjZIAMcVyGT3SOPPGLnnHOO6Z8IJCWBY1kWBrlhw4Z2++23G+8/MX1c9Bh0jBou7UqVKhl7AjBuuLpJ16hRI8uYMeO+puFh4xrhMlbhxOAJI5xxxhmGSG7durXvPWjWrJnH1fnJLr/WwQjjTSNWT1gu0g7qwtAyzqpWrWq08fHHH7d69eoZ+chD3v/973/edow2njnGIdcx1NR111132dVXX22EDvhE5BcsWNCI5VMnfWGMk5771EdYkH0FjHnGcwjBPYfsC6BeNlcSUmABwEE7SQ+Pxo0bGxwoj3ZQBvcRVvtg6YsIxACBmBICPA9WOkxkHEyAIfy/C49zrnOQjvQHukasM3Ea0ukQgZRAAHHLu8vBux3C3vef9x2Dx32uRz5Jx/v+976RnuscpCFPCMG9a5xH7vPJOWWTJvI9ko/rIew1vtzjeiRd5JPrfCctB23jk+t8t4R/3Oec/Amnbsw5//v9v5+Tj7I4aCt5ObhO/sg1yuUa53yShmscfKfcv5fBdR0iEAsEYk4IxMJDUR9ihYD6IQIiIALRT0BCIPqfkVooAiIgAiIgAseMgITAMUOrguONgPorAiIgAimRgIRASnxqarMIiIAIiIAIJBEBCYEkAqli4o2A+isCIiACsUFAQiA2nqN6IQIiIAIiIAJHREBC4IiwKVO8EVB/RUAERCBWCUgIxOqTVb9EQAREQARE4BAISAgcAiQliTcC6q8IiIAIxA8BCYH4edbqqQiIgAiIgAj8g4CEwD+Q6EK8EVB/RUAERCCeCUgIxPPTV99FQAREQATinoCEQNy/AvEGQP0VAREQARFITEBCIDENfRcBERABERCBOCMgIRBnDzzeuqv+ioAIiIAI/DsBCYF/56O7IiACIiACIhDTBCQEYvrxxlvn1F8REAEREIHDJSAhcLjElF4EREAEREAEYoiAhEAMPcx464r6KwIiIAIicPQEJASOnqFKEAEREAEREIEUS0BCIMU+unhruPorAiIgAiJwLAjEhBDYuXOnbdiwwTZt2uSff/75p23cuNHWrVtn3NuxY4df53zt2rWejvu7d+92pps3b7b169f7dT5XrVplpFuzZo3xPVIudfzxxx/2+++/27Zt2zyv/ohAchPgPeZ9jrynW7Zs8fedd3n79u3Gfb7z/vI9udubEupn7A8cONDnkP9q765du+zHH3+02bNn/1dS3ReBqCQQE0Jg9erV1q5dOytdurR98MEH9vnnn1uVKlXs5ptvtpUrV9r8+fPt1ltvtccff9xefvllK1u2rD366KM+yBnEffr0sTp16tibb75pzZs393TXXHON5+nYsaM98MAD1q1bN09z2223Wdu2ba1ly5Y2adKkqHyosdAo9eHQCWzdutVeeeUVK1++vH8OHz7c39Wrr77aZs2a5aKgTZs2dv/997vA/XvJCAjEw9+vR8s54gWhw+fxahM85s6da3z+V5179uyxBQsWGPPQf6U90vvMUzDg80jLUD4ROBiBmBAC2bNnt2uvvdZY+WPQGzRo4EIAYXDmmWcaR926da1Vq1b24IMPWtGiRe2cc86xdOnS2QknnODC4Prrr7dGjRr5/eeee87KlSvn5127drVmzZr5cfbZZ9sVV1xhL730kqVPn95at25tTAIHg6vrInA8CJx22mn+rmbKlMkuuugiq1atmjVp0sSKFClivLNp0qSx+vXrW4sWLYy0rHYxcLy7eL7eeOMNW7FihXsO8HRxjU/uIzL4jpeN8UV/uI5RWpfgceMaBx4HPkmbuHw8ElyjPgQHeSkDg4aHgnI45zp1kZ7rePIi1xcvXmw9e/Z0rx1lkY72kJZ01Bcpm3Lx8HGPsjmnHNpGe0mHoOA+B+ek4xrfaSfpmVNYSGTLls3HOGkifeQ+aSmPMk488URj4cCcwT36QlrSUC7XaDNpKSdSB9cjB/c5uE9+0vAcyEOaGTNm2JdffrlPbHCf+uk/93WIwNEQiAkhAIBSpUpZpUqV7K233vLJLl++fPbdd9+5ux+lniVLFsucObOlTp3aWCn99NNPPqiYKPAalClTxs466yyrWLGiT4gMRu4hFCpUqGAZM2b0chncDFYGP0KCdKZ/R0lA2Y+WAAa/evXq9vHHH9tJJ51kefPmtSlTpngYC6OBIeQd/vDDD+2zzz6zjz76yMNeeMPefvttGzNmjC1ZssRGjBhhX3zxhfXu3du9aZSHl418c+bM8WZijLnepUsXW7p0qYsIyqA+0pGXT8bV999/b7169bL+/fsb6adOnerhunHjxnkdeOHwYGA48eR9/fXX7pnDk0FlGNKeCSLg008/NcbsoEGD7N133/W8I0eONNpPW0iD529Bwsr8hRdesCFDhlj37t1t6NChXt+wYcOMMshLaO/bb7+1fv36ebueeOIJL5v6X3/9dQ8rLly40MUHocDp06fbJ5984ueTJ0+2ZcuWef3vvPOO0XbY0kf6T3tpF4y5T5uZR2AKA9qKVxIjTv84yM992sf8NW3atH310T/K7Nu3r8F04sSJ/tx++OEHP//mm29cqFCODhE4UgIxIwQw8I0bNzYmknnz5lnWrFmdCYOSCSlDhgx26qmnWqpUqXy1j9L+9ddffZJg0OfOndvveaaD/MHoM1ESGkAMEF6gvIMk12UROG4EMP61atWyUaNGeSiM9xKv1ejRo91Qn3LKKcZKmZX/eeed5wYSw54/f35DJBNWwHgyXkIIhhEjL4YOkVCyZEnD40CHqIs8GF4EMYaOFTQr2uXLl3uIDsPLKhahgMFFmLDS79q1q7HCx/Cde+65VqhQIffCMWZ/+eUX4zMivKmLfhQoUMDy5MljtAGjjBjAq0efOCcMiIHmoC0YTz4Z8xhwxjqLAoQ+5XCO6EGUFC9e3BYtWmQIAxYTMKAcDDVxf9rMnIJQgdvJJ59sP//8sy1IEByEGGGBoWZegAeG+tVXX7ULL7zQqP/JJ580vBeEEQk1wJm6SEf/IseECRP8ueHFhCHzS86cOV0QMO8ULFjQWNwULlzYevTmm7R8AAAQAElEQVToYcxdtKlDhw7e/kg5+hSBIyEQM0KAzhMWYJX+/vvvGxPcVVddZawO2MRDeIBJhXS5cuVy9ymrIgYgrlNcgNw72MFg5F69evUM7wGDkDK5puPwCCj1sSGAkcHgsqpF9OL5YixgpBC6GFKML+cYSgzY6aefbhhUQgYY1Yhhb9q0qWEkuYcBxe0dGSN4yWrUqOHCgFUwhv3888/3PQoYaEQA5TNmGI8YX4xmw4YN3QvHKplVMOUzniiXutOmTesGH89ejhw5HFIIwbhOfzCstBMRwhjEe1e1alUbMGCAb96lP5G0ZyeE8SifeugD4RLScU7ZiBrmAQwrBhYOJUqUcBYsDDDw5KMRTRLCLAgahBHGuXLlykb/Bg8e7MaZNLQrhOCeFfLBmfmINs2cOdNFAfXSJj4x9OTjYF6i3Tw7+o6wYSGDZ4D8pKF9zFN4dRAoXMPDyV4lxAnnOkTgSAmkOtKM0ZiPSezGG290dc/gYF8A6p6d/4mNNgOPewx44v1MEiGEfV1i8DFhcDDgucE1VhKsEC677DL3HjzzzDM+sUXSkE6HCCQXAQz0TTfd5OGBEIKHyljtYqxZUeKyx8XMfhrOCRmEEHxvDbFmjA2Ghn0wGPozzjjDPWaMA4x64n5h4GvWrGnPP/+8r45ZtbMSJ46NiMDAUj55MHp8RzxjxDHSrKhpG6tljCDjkzYwxv5eF2XQBsogDd8ZcxhmNvHecMMNLkK4x8E90vCdg3MEyt133+3udLweGPrIvcRpucZYJ0/koH42WoYQfDVOO+68807fe8RCg/QcpMfIs7jAC4kHBoOOeKBflM1BfaSN9JO8XOfgGns28DqwkOF5EIrhOp+UyTXK5DkhHGifDhE4GgKpjiZzNOatXbu27wFgBcRK5JZbbjFcjUySidvL/SuvvNIuuOACw4UaucegZOJExeNmxVXJwCWmyaqAa0xe9913n+FaZGMhHodIfn3+nYDOjycBVqtsfMXw4a5HGF988cW+b4BVKxvrWJEjaNk7wzjAEGMcCS3gLejcubNxjjHDRc4YIKTw936wJwFBQV2ML8png9vYsWP9lwp8R5xj9AkPsMKlbayKGZOIBmLplEM7cInTNupMXBcbezlnvwHigXSMOerDOOL2J5bP+MQIk5YwA+OYdo8fP97wjDB2WakjeBjPjHE8EZRHuYRAMLTsTyBsQvu5zgqc+DzhR0IZuPnfe+89j80XK1bMqIN9B+wdwDDDEYFCCODSSy/d52UgNICBhzv1st+ItvJMWJQQSkEsMR9RJn1BdJAWrwnzDnMOogQWzD0wRVxRjg4ROFICMScEWFmwKmLFEkKwe++91135fwcUQjDSMTElvhdCMCalRx55xH8+yKDEg4CoYIKkPFZKTGZ4E/iFAgo9cRn6LgLJRQD3Ob+MwTiEEAwhjKGlPazy2RhHrJv3mHPS4dlCEOP+Z0MfO+BZ7UfGAeVhPCkj8cHYYJ8MY4HreNYef/xxI9aOy5oyENa43knDCpfYOQacFTW/ZMC9j4cCQ0ebEC641ikvcuBtePjhh/3XPfzygbg7rn3K7NSpk+/5ad68uTEWMcxsxqNcwgZPPfWUsXqmbuLvjHlCAJyTh3oxrPwsmFAB/eceoQ5Y4dnAe4iY4sDdj4jhE9FF+CV9+vT+c2TSwb99+/Z2+eWX+y84EAKENe666y7/JQdtoQ7u45Wgj7Cl73g2SEs/YE77aQNhTvrFz5gJ71A/DJokhCyqVatmiC3K0SECR0og5oQARpuBySdQiKMRJuD73w/ScSS+HkLwXw8wKRLXxLXHagchELnG5En5rA64xmSSuIx4/q6+Jz8BjCTvJy1BpLKS5TsGBwOXN29e433GYxBCMIwd5+Thk3c6e/bshuAlPQaU75Tx9wNXeMSgYeARGZHyuc6udlb5rGwxaBGjRXkYZFboGD+8EuSlLspJXA95aCPlYggZl4w5ysdA8jNJ9jHQdkQH7ecaefiOoEFMUDZhCYQG/aIsDDPXES/k5Tvtoq3kpVzq4nqkrTAlPXUTt8f40ybqoE0sQugL9cOeNOSnXOqnXLwo3KOfkfu0BxY8J8qn3cwxlM91+sR8FkLwnz/TBzhShg4ROBoCMScEjgaG8oqACCQdAYQFq9YXX3zRf3qbdCWrJBEQgaQkICGQlDTjrix1WAQOToCVLHt2cJmzAg7h/zfkHjyX7oiACBxvAhICx5u46hMBERABERCBKCIgIRBFDyPam6L2iYAIiIAIxB4BCYHYe6bqkQiIgAiIgAgcMgEJgUNGFW8J1V8REAEREIF4ICAhEA9PWX0UAREQAREQgYMQkBA4CJh4u6z+ioAIiIAIxCcBCYH4fO7qtQiIgAiIgAg4AQkBxxBvf9RfERABERABEdhLQEJgLwf9FQEREAEREIG4JCAhEAePXV0UAREQAREQgYMRkBA4GBldFwEREAEREIE4ICAhEHMPWR0SAREQAREQgUMnICFw6KyUUgREQAREQARijoCEQAp/pGq+CIiACIiACBwNAQmBo6GnvCIgAiIgAiKQwglICKSoB6jGioAIiIAIiEDSEpAQSFqeKk0EREAEREAEUhQBCYEoflxqmgiIgAiIgAgcawISAseasMoXARE4bgR2795tHIdS4Z49e2zXrl2HklRpRCCmCcScEPjjjz9sypQpNnfuXNuxY4c/vG3bttm8efNs8uTJNm3aNJs6dap/X7x4sS1ZsmS/a5wzQXjG4/pHlYnA0RNYv369v/+zZs2yzZs3H32BKawExva33357SK1evXq1ffnll/vmiUPKpEQiEIMEYkYIsAoYNGiQvfXWW/bTTz/ZV199Za+//rr9+eeftnz5cj8fPXq0Pf300/bqq6/a0KFDrVevXjZz5kx7/PHH7Z133rERI0ZY+/btrU+fPlopxODLHstdQryOHTvWevTo4e8/xrBbt262cuXKZOv2unXrjnv9iH/G/KF0mjljy5YtBrtDSX8kaRAbv//++5FkVR4ROG4EYkYIDBs2zJ588km78sor7brrrrObbrrJpk+fbvfcc4+dccYZdu2111qzZs0sV65clj9/frvllls87QUXXGCFChWyYsWKeZ4KFSrYSy+9ZHgLjuVTUNkikJQE8HR17tzZeH95/1u0aGFbt261li1bJsuKFy9c//79bdGiRUnZzf8s67zzzrMrrrjiP9ORIGvWrHbNNdfYySefzGmSH4QdPvzwQ/vtt9+SvGwVKAJJSSAmhAAu0I8//tgw6gULFrTUqVO78cfY4xlgIGbLls2vMzhDCHbqqada0aJF7cQTT3SeTFwbNmwwFHymTJnstNNO8+v6IwLRTmDnzp02ePBgf+dLlizp73maNGmsYcOG9vPPP9uAAQPskUcecTH866+/WtOmTY3x0rFjR6tdu7aNGTPG5syZY61bt7ZRo0bZpEmT7NFHH3VhfNlll1nv3r1t6dKl7kFDWLz99tu2YMECe/755921/niCR43vhCVgxQqb8Bweiddee81++eUX98698sordv/999v48eM9LyKdsljFf/HFF8Z9PBrNmzc3QhuIiC5dunhbuI6wp114O9q0aWOU/cMPP7io/+CDD1z48Em9eAVod7t27axt27Y2f/58++abb6xDhw7OghAC7eCcsY/n5N133/V7cCFEyH3yUkerVq3cqwhr+sgxYcIEb9t7773nixDmmscee8zuuOMOGz58uPcbT2P37t29z+PGjTP6c+edd/o9PBKUo0MEkptATAgBVj7rEtyQmTNn3o8nih9vAJPAfjf+doI4IGzAYGcSJDxA3r8lO4pTZRWBY0cA48TemLRp09oJJ5ywr6IMGTJYxowZ3YhfeumlhsHDqGH8q1evbjVq1DDc1ogGjHfhwoWtSJEi9swzz7iXjDyUSzqMHCIZ8UxojXHCsWnTJrvkkkt8XwJigspDCJYzZ04799xzfcWNBw7Dixu+fv36tmrVKhcrrN4x1tTNNcq78MIL7aSTTnJhM3HiRN/ncPXVV9uZZ55pp5xyijFOQwhWvnx5GzhwoKdt3LixIQ4oA08e4ofveElq1apl559/vocIESQsFipXruycaPuQIUMshOCCZvv27Xb33Xfb2rVr7eWXXzYWBoQbs2fPbqVLl7ahQ4f6NfrIgdhAZNFPPDHUXa1aNTv99NPt66+/tnz58vmB8GJxQsgxT548Rj0w3LhxI8XoEIFkJxATQoDVPav4FStW7AeUSQxvQd68efddDyH4wN93IeELXgEmpXLlyhkrHQZywmX9JwIpggDvL8KVFTmiINJozjkw7hgqDDsrZt51PGQYU8IIrFh570uUKGHp06d3wzl79mzfW1OzZk03mqzQGReIBVbMGHoEBEa+QIECliNHjv126yNIMOiIEww4ouScc86xqlWrukDAHY+AZ+ySFsFOmYxVwnSIc9qM4fzkk0/c4FMG4xyvH0aWtnK/VKlSlipVKsOwUx/1YrwRFT/++KMLD/jQF0TCjBkzLF26dO71o23UxeofJrTh5ptv9s3GcERIwY9+4yVMvIqn7dynfsQFaRADtJE2RA76Rtsw/NTbpEkT98rQZurQIQLJTSBmhECDBg2MfQJs/gMqk0zPnj2tTp06hruUaxysPhj4fI8cDG4mlbvuussnwQcffNCWLVsWuX3Yn8ogAseTAEKgSpUqvrrHoFE37nZi9KyGMVJsmM2bN6+7/3GXc44BJnzGSpzV6tlnn+0GNUuWLB46w6Ddd999LgSoA5FRsWJFw/hi5MiPIaW+EP4psEnPOGS8kZ/0IQRDeCDSK1So4PXhqaA80oQQPFyHkWTF3ahRI7vtttuM0AHeixCCewZCCN6uEIKLhBCClxWpA+8DhvmBBx5wLwLeAww9Y5xyPv30U68nhODl4E1EINAWvAmwwIBbwj/aEkLw9HxPuOT/URdfaPfChQs9hILngD1H9J1nQN8pk3R4GiiX54GI4h7XdYhAchNIldwNSKr6L774YnvooYc89ti1a1d3b6Lu+eUAkwzG/rvvvjNcgQgG3IRcw/WHuxHXIqugp556yn8x0KpVK/9ZYVK1T+WIwLEkwKqU95/V84svvmjPPfecYQxxQWNQn332WXdrExbgp7VsLMTVzwqamDzeAAQAQhkx/f333xvGEiHAvgIMMvsQbrzxRh8XuLcZL7j2GT8jR440frUQMXqs3lm1f/bZZ75PgXg6+fFQYCj5ZQ958NixL4Fz0jA2SUedGG9i7v369fOQBSKHnwGzv4E9CNRPevpMn/jVD2XQfj7ZQ4DoQADgueAXRcwHGGC8IpTH3gDmBTwj7EmAHeGTG264wfdK4GVEhAxNCAtQPj9B5jnST/IjGtgjwEofYcDiA5HFQV/hSp14DxAJhB54ToQKIkKD8nSIQHISiBkhAEQmqyeeeMJwCRI3ZGMSA457IQT/tcCbb75pbNjh1wMhBJ9gGPxspsKdyOBkgL3scQAAEABJREFUwnj44YeNc/L++6G7IhAdBIhPd+rUyVhxEgbAiOMSx6XNyp8VON8xnKyMiYETu6f1uM1DCIbhIw2CGCNMjJ2wAGEEjCrjBO8bbn42CPJrHGLkbPRjrwDGkPJw/bNpjhU5IoVf9FAnBpGd+giRJgkucsYjBhJ3PCGHwoULW4cOHYzNgFdccYXdeuuthheCX0Hg9cDQImYuuugie+ONN/xXElxngyBhB/pMOzHAt99+u3GNeYC+0x76wyf56TOigvZzUC/XMNaEJ8j70UcfuUcRni+88ILRPvqHF4C9E9ynbMQGe4v4tRJt5Tnkzp3bf7WEB4bwAuUiTvhEiIQQKEqHCCQ7gZgSAtAkVlm2bFkfsHgCuMYRQvCNO4QJihcvbgzcEIIR3+QaB67QEILfY6ByTl4dIpBSCODiLlOmjPGOE9On3bjv2eTHO8/KlXu896z6MfYYLFzWpGWlzy8E8JTxawJc2PXq1fN9NXjYMLAYeWLjGEvOCRUwfvAAYCAph4NwG4KBtNSJsSUvBwYVDwSCnPucUx7hC4QDaamPdiMU8FxwThqu0Wbqph8YWcrnO/dIQ9mUBQvy0S7ycE5fESy0m3yc0174cJ9P7pOf+/SB9tHH7Nmzk9TDCZH87FngIqKLdIgd+kU/8YzQF+rnOdBWvBOk1yEC0UIg5oTAsQar8kUgFggQ62ZlzqoaT0JENGPA+NUA4QJWwayQ2bEfC31WH0RABA5MQELgwFx0VQRingCrbFbOrFYjnUUgcJ3VM6KA1W0IcmFH+OhTBGKRgITAvz5V3RQBERABERCB2CYgIRDbz1e9EwEREAEREIF/JSAhkAiPvoqACIiACIhAvBGQEIi3J67+ioAIiIAIiEAiAnEsBBJR0FcREAEREAERiFMCEgJx+uDVbREQAREQARGAQNwIATqrQwREQAREQAREYH8CEgL789CZCIiACIiACMQVgRgVAnH1DNVZERABERABEThiAhICR4xOGUVABERABEQg5ROICSGQ8h+DeiACIiACIiACyUNAQiB5uKtWERABERABEYgKAilQCEQFNzVCBERABERABGKCgIRATDxGdUIEREAEREAEjoxA1AuBI+uWcomACIiACIiACBwKAQmBQ6GkNCIgAiIgAiIQowSiTAjEKGV1SwREQAREQASilICEQJQ+GDVLBERABERABI4HgWQVAsejg6pDBERABERABETg4ARiRgjs2rXLduzYccCe7ty507Zv3+7Htm3b/HPLli3G9927dx8wjy6KQEoiEHn/9+zZ849mc4/3/1Df9c2bN9uaNWuMfJHCKHft2rX2559/Ri4d8SdlrFu3zmgP9VDuERf2V0baR5mbNm3664o+REAEDpXAcRQCh9qkw0/HhDV9+nR7+eWX7bffftuvACaGd955x7788ksbM2aMvfHGG/baa69Znz597PPPP7e+ffva4sWL98ujExFISQQwggsXLrS33nrLJk+evF/TEce9evWy999/35YtW7bfvYOdjB492p5++mkXA5E0lNO/f3/79ddfI5eO6JOxOnDgQOvevbuLiq+++so4jqiwhEy0C0GP2KfccePGJVzVfyIgAodDICaEQAjBVy8ffPCBvfrqq8akEIEwdOhQ69Kli23YsMFy585tTJgDBgywc889184++2wbPny4PfroozZ//vxIFn2KQIokgCF8/vnn9/OMYbjbtm1rCxYssLRp0x5Sv9KkSePjAaMdyXDSSSdZzZo1rVixYpFLR/QZQrA8efLY0qVL3SNw8cUXe7lHVFhCphEjRtiSJUvsxBNPtKpVq1rJkiUTruo/ERCBwyFwzITA4TTiaNOmSpXKTj/9dGvWrJkNGTLExo8f70Xighw1apQVKFDAJx8Mf+HChe20005zIVCxYkUXAbgn8RAkFhBegP6IQAogEEKwU0891erXr29Tp061YcOGeasJf40cOdJ45zG+Z5xxhi1fvty6devmHjHEMQkJBXz66afGip/VNeMDwzpx4kRDXFPO1q1b3XPG940bN7p3bcqUKfb222/bokWLKMa498UXX7hnYtWqVX4t8R/ENulZtSMsCA3gpcClv379euP6L7/8Yh9//LFR34QJE7yt9IlyCG8MGjTIvXrk4/5jjz3m5zNnznSPBx5A0jKm6RMHfaI8RNG8efPcA/HDDz/st2Agjw4RiFcCMSEEeHi4CEuUKGH16tVzlz/nhAJYwWTPnt1XH6Rj8uGTI4RgTI7nn3++zZo1y5gQua5DBFIaAVbv+fLls8aNG7vxxPhhQPGCIQK4Tyz+gQcesJNPPtkwqIMHDzYMZ8eOHd2L0K9fP+vdu7elTp3afv/9d8OYIwSee+45w1jjbcNYr1y50p544gkX3YTkWrdu7WGEiJhGbDzyyCNGugjHadOmebvwNmDAEQ2ENPBgYPjxEOCZw0D//PPPXjaGG4HfokULFx4ffvihtwnB3r59ezfkLALoH2URbkD4I1ReeeUV7xtipkmTJu6B6NGjh4sUONCXn376KdI8fYpAXBNIIiEQHQwx8s2bNzdWB6yEFiS4Q6tXr+4TBhPFgVrJdSYWVighhAMl0TURiHoCvMe8/9dff70b4G+++cbDYJUqVdr3/mPgGzZs6CEy3ndW2ITOMPhNmza1//3vf1amTBnfTJshQwZ32WNE2UODAc+SJYuFECx9+vSGuK5QoYI9+OCDHnZjpU2YjbIQ16RHZACO8YUoP/PMM61BgwZ2++23uxg54YQTvCzS4NGg3EsvvdQ6d+5skyZNshkzZnjbixcvbngKEOuEEm655Ra76aabLFeuXJYpUyYrX7689ylz5swuYkhHm6+88kojLMJ3yqPNRYoUMfp03nnnuXihbh0iEO8EUsUKAFYGTIRMDoUKFfK9AoQEiIsySYaw18gzAZKWg76zamHlUbZsWQ8ZcE2HCKQ0ApH3GcN4+eWX+4ZY3PsYb8YF9zHSY8eONQxuwYIF7ZRTTjHGBqtxXPNnnXWWx9ox0HgNyJ86wTtAOvJznSOEYIwj7nOPI4TgRhvhgbG/++67vR44Uj+rcNzznLPKp7wQglEeB+fUxUGbECn58+c3DP9TTz1ltJd2Ii6oN2fOnB4+QGRQPvkph3Zxvnr1ar+PIDn77LP31YPgCCG4YCCP6Z8IiIAdkRCINm5MMLgbiU+uWLHCwwPEOc855xz3DuAeJJ45d+5cYwXEpITxxxXKyoJVAqsHJpJo65vaIwL/RQC3P6tnfgHDapjwACt6jCWbY3n/+TXBnDlzjA2FpOXXNbjgS5Uq5WLg1ltvtRdeeMFwqxNSIO3s2bN9Jc5qmrFD2XxfkOBpoww8b6zUGXvsx0F0tGnTxn+hQDoEAm3HOLMCZ+8C4QjKZzziReCgfbSH8AHuetKXLl3aiO/jwufXPYgChMpdd91lzz77rLFJEEFDHaSjf7SH0AWigfHPLyXIS7sIG9J+2sueBvpOOwih0EYdIhDPBGJCCDAJsYLAG0DMsly5ctapUyfLmjWrCwHcpRkzZjQmHzZOsY8ANyablx5++GGfWHBnxvOLoL6nXALsh2FFj+sdA44AwFiyPwZjx/vPe48hbdeunf//M3CP16hRw8dIz549jY2zjBvyEL+/6qqrjFU1ZbIJEUPN6hz3OitzxhArbzxqd955p28UZF8A+fDC4RlgNW4J/0IIVrVqVUMkUA7tIAyBwaecypUre3iBNjGOE7JYrVq1jH0AjEvuI+rJj7eBa3Xr1nWPA3se8Pxh+KtVq2Y5cuRwbwX9Jx0bIvnVEF4EQgjcpw18RyCwiKA+HSIQzwQOQQhEPx7coTfeeKPHA5kgcD2ygYiJ5rrrrjOMPSt/Vv1MVg899JDHQ1u1auUTlDwB0f+M1cKDE8CdTuyfd7tRo0ZuCPPmzeuhriuuuMLff1z1iIGrr77aiLFj+DHsrKgxjvfdd58bX8bMDTfcYBhY8nKdfQCMnZYtW9rNN99sl112mZfJ2OJgfNWpU8fSpUvnZVNXtmzZ9mswhrhKlSp27733uujA0CM67rnnHq+LcAZ1NmvWzN34tIP9PfSJ1TyF4QFgfwEHwp5r7FPgnDR4CxAljH8EDNfZaEi7WCTQfsY8dVMX9xALlKNDBOKZQEwIgXh+gOq7CIiACIiACBwNgX8IgaMpTHlFQAREQAREQARSFgEJgZT1vNRaERABERABEUhKArHxq4EkJaLCREAEREAERCCOCMgjEEcPW10VAREQARGIcwIH6L6EwAGg6JIIiIAIiIAIxAsBCYF4edLqpwiIgAiIQLwROKT+SggcEiYlEgEREAEREIHYJCAhEJvPVb0SAREQARGINwJH2F8JgSMEp2wiIAIiIAIiEAsEJARi4SmqDyIgAiIgAvFGIMn6KyGQZChVkAiIgAiIgAikPAISAinvmanFIiACIiAC8UbgGPZXQuAYwlXRIiACIiACIhDtBCQEov0JqX0iIAIiIALxRuC49ldC4LjiVmUiIAIiIAIiEF0EJASi63moNSIgAiIgAvFGIJn7KyGQzA9A1YuACIiACIhAchKQEEhO+qpbBERABEQg3ghEXX8lBKLukahBIiACIiACInD8CEgIHD/WqkkEREAERCDeCKSA/koIpICHpCaKQLQS2LJli61evdr27Nnjnxs3bjzqplLWH3/8YRs2bDjqslSACIjAfxOIGSEQmTwGDBhgzz77rL377rs2bNgwmzdvnn300Uf24IMP2hNPPGFPP/20vfbaazZy5EhjEvtvREohAimDwPr16+2HH37w97979+72/fff25w5c45Z4xk/jz32mHFs377d3n//fR9zR1ohZezcudN27Nhhn332mQ0dOtR27959pMUpnwgkB4EUWWfMCIHFixfbww8/7BNflSpV7Pzzz7cxY8bYkCFD7Mwzz/TvZ511ltWrV88yZMjgk+Xbb79tu3btSpEPTo0WgcQEWJU/99xz/p5XqlTJLrjgAps7d64NHDjQV+uJ00a+I54j3/n8+/nBrnGd4+STT7b8+fP7GOJ7ixYtrHr16tw6pCNxfVu3bnURs2TJEjvppJOsadOmVrNmTUuVau8URVqOQypYiURABA6LwN5RdlhZoi8xq4hPPvnEWBHddtttVq5cOStZsqTx/eKLL7azzz7b8ubNa/ny5bPixYvbVVdd5cdbb71lixYtir4OqUUicBgEWDWzep46dao1a9bMKlasaCVKlHBjetlll9lvv/1mn3/+uX344Yf+uW3bNvv666/t1VdftW+//daFwqpVq/ze66+/bpTFWOrXr59169bN+EwsmBlvo0ePth49etivv/7qhnvTpk02fPhww5CvWbPGy+rTp4+99957xkofQf7KK6/YiBEjvGdr1641vHcvvviijRs3ziZOnGhdu3Z1r8KyZcts7NixNn/+fG/b0qVL/fqbb75ps2bNMurH28Hx8ccfexuTIiThDdMfETgcAiDAz98AABAASURBVDGSNiaEAJMQEwlegNNOO23fo2HlnydPHp9MWE0wgXCTFQeT5ebNm23KlClc0iECKZYArnTe45w5c1rGjBn39SNt2rQugPEWvPPOOx7D591HEMycOdMqVKhgHTp0sN69e9tPP/3kobLzzjvPEBQYeox65cqVbfr06YZ4iBTMOa770qVLGwaYEAEr+q+++sqmTZvm13r27OmG/NRTT3WDv3DhQhfkLVu2dGOOuCBf3gSB3qZNG0udOrWlT5/ePQqnn3669e3b1yZNmuTivl27dpYjRw4XHPfcc49fQ1hQX+7cuY1FAOemfyIgAkdEICaEQAjBXYgRQ2+H8I9JKIRgadKkOYTUSiIC0U0AFzqrdgTv31uaNWtWy549u9WtW9fwEHzxxReGES9btqw1atTIDSmGllACG/SaNGlihNGWL19us2fPtubNm9spp5xikX8Y3ly5chn5KY+wAAYf4U39CBDqu+iii9zzhsFm7wJi45xzznEvHIKhWLFidvnllxuigTyUkyVLFhcFlEWfECR4K6pVq2bXXHONbyDEg4AAKFKkiIuZCy+80MVBpH36FIFjRCBmi40JIYAxJybKRIMbMfK0cG/ipoycM9HwncmOyYlJqUyZMlzSIQIplgDvNe8xLnWMeaQjeMp4/0MIFsLeA+8Bxpo9NaQ744wzXCQwFjDqeBbYUIshv/baaw0X/pNPPmns4ic9B94BruPyR3wgwAlPUO4JJ5xAEvfC+ZeEP6kTVvt4H1j5s5EXLwBjE9c/ngTKoV0JSX2jIGXxnQOBsXLlSluxYgWn7hlANFCXX/jrD6Lhr6/6EAEROEwCMSEEmHwaN27s+wKYaPjFQP/+/W3UqFG+UmBVMWPGDBs6dKjvRibuSdz0kUcesXTp0h0mMiUXgegiEEIwVt/shyFuz96XvgmudeLxGFxc7JMnT3aXPwaTjXjE11mJY4xZ8SOiBw8e7Ct/jDJ5GEOIDAw/xj7S6wYNGvimXEIMCIp169b5Ob9Q+OWXX3zfAOGFiQlxf4w8XodBgwZ5GIJ9BKz6y5cvb7TzmWee8f0BjEOM/pdfful7GiL5ixYtaogc9jPwqwTyFSpUyPcQTJgwwT+pc/z48YboibRRnyJw1ATiqICYEAI8r8yZM1vbtm19gyATDasG9gHg4mQFwqqGPQRMNvyqoEuXLr6pirw6RCClE+B9Z3Psfffd56tm4uylSpUyXOiMAX46W6BAAfcMsFn2gQceMEIGd911l4cJ2FyLwSUNaRkrbLrNlCmTdezY0fAQRBixumc8sf8GI9+5c2evk/g9YoR9Ch06dDDqJ0/VqlXthRde2BeaSJ8+vW9kZLzyy4D69et7fjwGhC9o1x133GGXXnqpC3XEAtcLFy5st99+u4fzCBNwMJ5btWrlIQZEDvXpEAERODwCMSME6HbqBBckcUMmECYf4oxsjkIQMJFwnUmHiQzhoIkDajpihQCrd37Od8kllxgGmbg/3jL2A/D+E5PnnHT8eoaf0rLBkHGAoa9Vq5bVqVPHjS/GnLg8ZWXLls334EQ4UQahBH4qWLBgQeM75XCOZyJSH3sIqOvEE080BEaNGjX8p7uUw1hFePBTR76HEPyniORFCNCOyD28BYh3yiaUgfGvXbu20T4EC/3gHgKDsnWIwBEQiOssMSUE4vpJqvMiIAIiIAIicAQEJASOAJqyiIAIiIAIpGACavp+BCQE9sOhExEQAREQARGILwISAvH1vNVbERABEYg3AurvfxCQEPgPQLotAiIgAiIgArFMQEIglp+u+iYCIiAC8UZA/T1sAhICh41MGURABERABEQgdghICMTOs1RPREAERCDeCKi/SUBAQiAJIKoIERABERABEUipBCQEUuqTU7tFQAREIN4IqL/HhICEwDHBqkJFQAREQAREIGUQkBBIGc9JrRQBERCBeCOg/h4nAhICxwm0qhEBERABERCBaCQgIRCNT0VtEgEREIF4I6D+JhsBCYFkQ6+KRUAEREAERCD5CUgIJP8zUAtEQAREIN4IqL9RREBCIIoehpoiAiIgAiIgAsebgITA8Sau+kRABEQg3giov1FNQEIgqh+PGicCIiACIiACx5aAhMCx5avSRUAERCDeCKi/KYyAhEAKe2BqrgiIgAiIgAgkJYG4EAJ79uyxHTt2GJ9JCU9liYAIRCeB3bt3286dO/c1ju9c23dBX5KOgEpK8QRiQgj8+eefNnHiRPv111/txx9/tFGjRtkff/zhD4fB/9NPP9kDDzxgH330kV/THxGIVQKMhZEjRxrv/Lp164z3Pyn6ynh66aWXbPTo0f9Z3MaNG+3pp5+2qVOn/mfaY5Fg27Zt9sknn9gtt9xiffr0sd9++83at29vN998szVv3tyWL19+wGrHjRtn7dq1O+A9XRSBWCYQE0KAgT948GCrXbu2C4Jvv/3WB/3YsWP92eXMmdPuuOMOGz9+vG3atMmv6Y8IxBIBPF6DBg2yBx980IYPH+7j4JlnnrEePXokSTcRFIjtJUuWHLA8xiAGd+vWrXbyySdbxYoVLXPmzAdMe6wvfvXVV7ZixQpnQVs6duxoTZs2tcaNG1uNGjUsTZo0B2zCmWeeaRdddNEB7x3s4ubNm+3nn38+2O1YvK4+xSCBmBACGTNmtIYNG1qBAgWsZcuW1qpVK0udOrX169fPUqVKZblz57Z06dJZhQoV7KSTTorBx6guxTuBCRMmWLdu3dzYPfLII3brrbfatddea4hgQmJ4B0gzY8YM9xJguBctWmTLli2zSZMm+SdGfs6cOTZv3jzbvn27zZ4923755RdjhX/qqadapkyZ7IQTTjDKY1WNAcT4IxJYTb/++ute1q5du/aNOUv4t2rVKjeW8+fPN+4hFhYsWOArc7x4eBsSku33H56NKVOm2PTp07293FyzZo17/egDwodrlDUxwRuI92HLli1GH/r3728LFy60E0880UIIRr/XJXhHSpcu7QIFcUAfEAv0Dw6c00fmEMql/Llz5+7rPzwokzbAi+8wxOPw/PPPG9zgQF4dIpDSCMSEEAA6A5mDCQnXKDHBsmXLcstQ7YsXL3YhQBq/qD8iECMEeNcJh2XIkMEwdnQrhGDFihVzLxlGEFc5Rq979+7Wq1cvXzG/+OKL1rdvX/vggw8M4/nCCy8Yq+lvvvnGDS6G+LvvvrPnnnvOMLghBBcCa9euddExZswY69y5sy1dutQw7JMnT/bvnHft2tUFBcaUOjHWL7/8softEAaEDqjn448/NgwpRtz++kddGFjai1cDQU+Zn376qU2bNs3efPNNd/3j3cP7t2DBAg8B0HbKxsAjLlauXGmIBsrGcPMd78Dq1as9XECfMer333+/zZw504YOHWrPPvusC4+JEye6gCDU+OSTT7rAIDQCL+YX2oUIggH1U1dMzi1/PRN9xDaBmBECIQRfbTCBdOjQwa644gqrX7++bxhismG1hJsURR/bj1S9izcCCIHff//d0qZN64Y6cf9Z/f7www+GEL7mmmvcS4BBxhOwYcMG96IRFz/77LONc9znDRo0sPfee88weBj9t956a98Km7JZaSM4zj33XMP4YwTz5MljhQsXtgsvvNDSp09viA8MOiIAb9z1119v+fPnNwQC3jrEOavv22+/3QjhrV+/nqL9wDhjmK9IGMO0+ZRTTvG2kIdrN954oyEKBg4caD179nRjP2vWLBcDuPdpR9GiRX31X716dcuSJYuHBLJly+ZeCLwaQ4cONTyJhAwuvfRS9xywokdIsPrvlSCWCLEgKOgDvPAA4GHB04KnkbT0ib7jbaRc74D+iEAKIxAzQgA1zgTz1FNPWbNmzWzIkCHGQGXAEhds1aqVXX311e4qTWHPSM0VgX8lQLgrV65chhjA+EYSY9gQCYgAruP6LlWqlI8BDBzj5YwzzjAOBMNpp53m8XMML8YQo44hZtWNgcWtT9mUS37KxchyznXGICIBg0ibGHu46onJU1fJkiX3/XqHc9qDF4O6QwgU4QdGl3Zzv2bNmnbBBRcYq+4QgtG2fPnyWfbs2T10QdvZG/S///3POnXqZJRHO0IIHhrge+SgXRy0Ea8B7n/Kw7AjhLjOQX/wNlBvkyZNbMSIER7qoBxEDZwQXfSPaxzk88an7D9qfZwSSBUL/WZAM7BZ7eNOxBPAYH7iiScM92aOHDmMCZBVQiz0V30QgcQEMG61atUyDGfv3r09rk7cG1c4xrpEiRLuEWDlTegsb968LgYQDrjMGSus4BlDeAAwjmz0Y1XO/gBW/KzGcakjAHCbEzIoXry4G1vqwBCyqsdgUy5pKQvPAS57xiF7D9iMh6sekU469hrwnXIxqPSLcUrdePK+//57//VBoUKFjHrxQNCvs846y1jtUwfnfOLRiPSDMpkPEBV8ck4avlMnwok+IHI42L9AXtpEX7lPufQJLgipyHfaShl8nn766UZfCRMgXmi/DhFIaQRiQggwWTFxlClTxndMp06d2u69917f1EQcksGf0h6M2isCh0OAFe3DDz/s7/zXX39tGDne+/Tp0/uKulGjRkY8G+PG2GA1y6oalzpCms15rKYxiBg3XOZcx7NGOrwBuNJZ4fOJYSYtq2YMOPWzJwHjSDwfNzzjkpAAK3bahJeAchEf3MdIs5GPfIk327Hiv+mmm1zQYMARBtWqVfP9Drjr2SfASp09QPfcc4+HFtgsiHjBINM+hAkhBvrHvMCmRMQRdZG2bt26xuKA8hBQ5KWP9ANhQzspgxBCpP+k4R6ihjwIB4QN7aPPIYTDeWTJn1YtEIG/CMSEEEifMNnh3nvttdf8VwNZs2Y1VkHEI/kVAed/9VcfIhCTBDDsBQsWtBYtWvhPZTGU/IQP447RIu7PT2gxzKTDeLHR77777vOf+/GrGzbtVapUyX9pw2r/oYce8v//BnsBMM6PP/64tW7d2sjbpk0bu+yyy1xw84mxxChjsCmDDYb16tUzDD6/YLj77rsNMYJ3jng69zG2XOPXBogFPBs8HAzwJZdcYh06dPBwHn0gBEBo77bbbjPCFQgR0lFfly5dDOHAr4POP/9833zI/zcAkUKf2R/E3gfKZMMf+wwIaVBW27ZtjTL4RQTtYc6gf5RPuIGfYyIe2M/ApkH+3wRVqlQxNgvSHvYjsPGRPkXaTx90iEBKIhATQoBJkLgdsUgOBmQIwSLXOE9JD0VtFYEjJUC8nTHAqh5DGSmH71xDFHCN1TnnHCEE/7kt+QgLcD+E4KGGyH3GEN9Jw3fKIS0HdYYQvAzK5Zx03Ash+E92E59znXPK4OA7XjzqjRzUQX2UFblGH0hLnhCCX2bsky5yjfSk4Rr18Mk5cwF1cE5aMpOWc+oKYW/7Scv1EPaecz+E4CEQ7kXK4TvlUD/X6DdlRvGhponAQQnEhBA4aO90QwREQAREQARE4F8JSAj8Kx7dFAEREIEUSEBNFoHIiIgPAAAQAElEQVTDICAhcBiwlFQEREAEREAEYo2AhECsPVH1RwREIN4IqL8icFQEJASOCp8yi4AIiIAIiEDKJiAhkLKfn1ovAiIQbwTUXxFIYgISAkkMVMWJgAiIgAiIQEoiICGQkp6W2ioCIhBvBNRfETjmBCQEjjliVSACIiACIiAC0UtAQiB6n41aJgIiEG8E1F8RSAYCEgLJAF1VioAIiIAIiEC0EJAQiJYnoXaIgAjEGwH1VwSigoCEQFQ8BjVCBERABERABJKHgIRA8nBXrSIgAvFGQP0VgSglICEQpQ9GzRIBERABERCB40FAQuB4UFYdIiAC8UZA/RWBFENAQiDFPCo1VAREQAREQASSnoCEQNIzVYkiIALxRkD9FYEUTEBCIAU/PDVdBERABERABI6WgITA0RJUfhEQgXgjoP6KQEwRkBCIqcepzoiACBwqgW3bttnGjRsPNbnSiUDMEogJIbB+/Xr7+uuvrVevXjZs2DAbN26c9ezZ0z766CNbu3atrVy50nr37m39+/e33bt3265du2zmzJn26aef2hdffGHTp0/3dHv27Nn3oFesWGEbNmzYd64vIhCtBLZv324//vijv//fffedv8+8/x9++KEtXbrUtmzZYn379rUvv/zS/vzzz2jtxnFtF3PA8OHDrVu3bpZ43B+wEbooAjFOICaEwEknneSGvU2bNnbiiSfazp077e2337ZffvnFuMczHDVqlP3xxx8+6DH+r7zyiqfNkiWLT5BMnEyYpN28ebO9/vrr1q9fP051iEBUE0iVKpWtWrXKOnXq5CtcxsBXX33l4ph7NB7hO2vWLIuccy1yjB8/3n7//ffI6TH/RIzPmzfPENuHWtm6detsypQpxir+UPP8Wzo4IPQnTpxoIYR/S6p7IhDzBGJCCJx22ml27bXXWv78+W3r1q12wQUXWKNGjXzlf/rpp9vJJ59sNWrUsMsuu8zmzJlj3bt3t6uvvtoaNmxoF110kd1222124YUX7psQmKCYqN57770km3hi/k1SB5ONAIa/du3aVrFiRX//CxYsaC1atLBTTz3VUqdO7ca/dOnS1qBBA0PkIgh4xxHMeM+efPJJW7Rokb/ra9assdmzZ9vq1atdUPPJgWchsTeBFTXCmvGEiOAczwTpyI/hxuBjbBEplLF48WIjzfLly61r167uueM8UueyZct8zLJCx5M3d+5c9+bt2LHDvvnmG/fwkSYCmnTUQ3+WLFniZdM/yic/feKc9Ij8hQsXGmkplzbD54QTTuC214vncPbs2e4d9Iv6IwJxQiAmhADPKkeOHHbxxRcbK/1Nmzb5BIgXgAmCSY8JMU2aNL5KQhiUKlWKbH5kzpzZypYt6xMnkyOhAoRFCMG9BZ5If0QgiglkyJDBqlSp4iExjB5GGIOMoCUOzsH1p556yoYMGWKdO3d2ozh58mSbNm2azZ8/3yZOnGh9+vRxo9uhQwdfgeNlePzxx40wA+WBAAM8depU+/zzzz0kcf/997t4GDRokOcfPHiwUQ8iAe9by5Yt7fvvvzfKHDFihGGo8UJQHsYXIdK3b1+jHow3guGDDz6wgQMH2sMPP2wYcDwatJN7tIEDgfHss896f7p06WI///yzjRkzxho3buzXaPtnn31mCIlPPvnEON58802rX7++IQboB+XwibeB0OHHH39stJd5g3s6RCAeCMSMEOBhYbxR/Ew2+fLls5IlSxoDm0GdPXt2DxMweSAEEAbkiRwh7HUPssIgP6usvHnzGhMNq5pIOn2KQLQSqFWrlq/k2SdzyimnuJcL44YRRexy4Bk466yzjJU1q3TGSO7cud0zNnToUBcFrO5Z2ZMGUc1YuPHGG61QoULeddzzpGVM4XnA+4Z3gP0JtKFZs2aejn0LjDPGDyK9aNGihvDAc1e4cGGvM3369IYoL1CggLeJ+mgzIb2bbrrJrrzySsOrd+655/p4LlOmjJfNH/pYokQJIy/7hBD86dKlcy9CuXLlrHLlyt4fhAACgbTXXXedl8d3yrCEP9wnlIK4ob0LFixwkZRwS/+JQFwQiCkhwIRQtWpV9wqkT5hgcP+/9NJLvn+AyS6EYEyErI5YiSR+wqygWBkMGDDAEANMCnkThACTIRsRE6fVdxGIRgIYeFa7rKwx5hhRhDAr9CJFivhGQd5rhHDEqPPehxA8LMZ7f+mllxoGmE10GFJEQMaMGS1btmxGCI5+Uzbjgu8Y7EsuucRX3YhsvG643IsVK+ZhClzv5MNAn3HGGR6mIB9jLYTgGxnxHIQQjJAGxh1DjGeOfJRNeuokrs/3yIHbn7yIh1KlSrnQpz0Y8/QJ4x8vCeeUWadOHYMDG4gfeOABFwMhBG8PDBAShA8JE+KdQHiY/olAnBCIKSEQQvDYP8+O1U+lSpWMyZGJiUmI60x0rEj4hQFuSGKFhALwJMyYMcNwmz799NPWunVr+9///mesIEjL5MTkRRk6RCAaCYQQfG8MQvfMM8/0FfQ555zjxo5NsbjuCRVgcFnB8+6z2sYI8n4zVp5//nlfteMqx4WPsUU0E8uP9BnDiseNX+IwXggRML4oCyNKPkQB3gZW2xhqDurBC4GRpyzGH8YZ7wJtoq7ffvvNKlSo4GEBBDh1cJ06KZMQBnk5JkyYYIT/8BJQNu2k74RA1q1bZ1xj/wF1cy9NmjTu1TjvvPNcFHF9XUI60rNQoO2TJk2y0aNHu0ChDh0iEA8EYkoI8MBwCRJXzJkzp69gWB2xGuAeB6uM9u3b+wqHCYzBz6SIcOBXBqwkCCWQlomECY5JlUkn8WTIfR0iEG0EWPkTzsI7xsr4wQcftOuvv96bWbNmTeNdJj6PZyxt2rS+wRZxTOz9qquusrp16/qvZXjXEb64/xHSEQ8ABeElYOMh+2q+/fZbH0vFixc36sKw4mbnnFU1hp+2EK5AAGDUMcDUg9EuX768hzDGjh1rGGjCDoQXKJ8QHeMR0cGKH2OdeMMi6REBbCSkLoQIYh6vIAKBcY2AQOSHENzTx/033njDGPeUFeHBvgLCFZSFByRvgjeQvuoQgXggEHNCAEOPJ4AJgAfIpMJKh++RI1euXNasWTPfWU18kxUIQoBfEbDBiFUUaZmE2DjEDmd2ZeNS5boOEYhWAhhphC/jgDaygRAPGN8xlh07drR69er5+48rHCOPAccFnzVrVrvzzjutQ4cOxvtOvscee8w4ENaUETnwMJC2bdu2VrVqVXfLI0Luu+8+u+aaa/xXOpTHHgI2JlIX6RHhjEfCFk2aNDHGGuWTp3nz5i5EECjsSWjXrp1vAA4huGBp1aqVh/YibaBNjzzyiNeHiGEsU86LL77ofWyeUB79JSyBp4F7uP6rVatmCBzy4P1j/LPZ+N577zXqZP74exgiUqc+RSAWCcScEOAhhRD48ONgA5rYIYY+EkcMIXjckEkoderUnpf4Jh4BrjGxhvD/5XoC/RGBKCQQwv+/p39//1k1834jGDhoPqKZg++887zv3GOMEPPn/EAimPvcC+H/62OcMKbIT93cjxyUhVEmH/dpRwjBf62DIOF6pB7uk54yaFcIe9PRPs4jB/lIx3XyUhfnfHJQH4Ihb968/j9c6tGjh3GdnxhH0sGE8iL5+a5DBOKJQEwKgXh6gOqrCIiAEzjoH8QA3ghCAoRN8GAgWA6aQTdEIM4ISAjE2QNXd0VABERABEQgMQEJgcQ09F0ERCBlEFArRUAEkoyAhECSoVRBIiACIiACIpDyCEgIpLxnphaLQLwRUH9FQASOIQEJgWMIV0WLgAiIgAiIQLQTkBCI9iek9olAvBFQf0VABI4rAQmB44pblYmACIiACIhAdBGQEIiu56HWiEC8EVB/RUAEkpmAhEAyPwBVLwIiIAIiIALJSUBCIDnpq24RiDcC6q8IiEDUEZAQiLpHogaJgAiIgAiIwPEjICFw/FirJhGINwLqrwiIQAogICGQAh6SmigCIiACIiACx4qAhMCxIqtyRSDeCKi/IiACKZKAhECKfGxqtAiIgAiIgAgkDQEJgaThqFJEIN4IqL8iIAIxQkBCIEYepLohAiIgAiIgAkdCQELgSKgpjwjEGwH1VwREIGYJSAjE7KNVx0RABERABETgvwlICPw3I6UQgZggsGfPnn39SPx938X//7Lft8NJu1/GQzw51uUfYjOiNpn4RO2jiZmGxYQQ2L59uy1ZssQWLlxoc+fO9WPFihW2a9eufzyo1atX+/2VK1fazp07/5Fm69atpoH3D2y6EMUEeM+XL19uCxYssHnz5tmcOXNs6dKlxriINJvxMGbMGNu2bZutXbvWRowYYZs3b47cPuAn5U6cONF+/vnnA94/2os7duywn376yaZOnXq0RcVkfuanX3/91SZNmhST/VOnoodATAiBP//80wYMGGC33367ffrppzZo0CB77bXX7MUXX7SNGzc6bQbVV199Zd27d7fBgwfb999/799/++03v8+fTZs22QsvvGC///47pzpEIEUQ4N0eNmyY3X///fbuu+/ad999Z2+//bY999xzhkCgExh9xAHGHTGwePFiwxBzzw7yh/uff/65vf/++wdJcWSXaQOCnHa8+eab1rdv3yMr6BjmirQxsZj6r+oQWMwh/5XuUO/zXN977z377LPPDjWL0onAERGICSFwxhln2EUXXWTLli2zOnXq2I033miNGze2fv362YMPPuir/j59+tgbb7xh11xzjd1www1Wt25d9wgkNvqsfJ599ln74YcfjgimMolAchA4+eST7YILLvD3vGLFiv5+N23a1Ffa99xzjxv8vHnz2uWXX26nnnqqZc2a1a666ipLly7dvzb3lFNOsZIlS3q5/5rwMG/Onj3bxThtoe2HY2wPs6ojTo6HkQUDAupQCsGT+O233xqexkNJfyhp4M9B2YeSXmlE4EgJpDrSjNGUL1WqVMaAYVJByadNm9aKFy9uHTt2dA8BbtAvvvjCrrzySsufP7+lSZPGMmbMaC1btrTzzjvPu7Ju3TqbNWuWPfTQQ/bll1/amjVr/Lr+iEC0EwghGO8+B+8/7zfvOSJ45MiRNmrUKMPF/OGHH9qWLVts3Lhx1rNnT+Od5z1//fXXrW3btr7yxPCxUsfD9thjj9lHH31kJ5xwgotmynjyySetXbt2+0ILeB569erl5T3++OM2Y8YMe+aZZ/z4448/vD5E+COPPOJjEU8A+alz+PDhduKJJ9qGDRvcg0G+9evX+9h75ZVXrHXr1t4mVsbffPON10G7GbeEAWnnkCFD7NFHH3VPXsT7wfOCA2156aWX3FMCAzwc9KFDhw7Wvn17D3lQRo8ePaxXQh9Iy0IAD+Mnn3ziZeIRwbjjXYEn7SB0SBimW7duXvbo0aO9LPLSB7wttIGDNj311FP28MMPGxyoD68li5K33nrL24EXAWP/9ddfG8yvu+46u/fee2369OnG3EY59GfKlCnOt4jwZwAAC9dJREFUFS70jXZwT4cIHC2BVEdbQLTkZ1BwJG7P2WefbRkyZPBJkMHN5Jj4PhMcqxLyTZgwwRAQDEImSCZQridOr+8iEM0E/v6+5siRw7Jly+YGhT0CGEMMEWOB0BgGGIOYKVMma9CggbvoMawIBYw0XjXykwfDg4u6Xr167n3DUHNt2rRpxlgpVKiQ8R1vWqVKlWzmzJk2fvx4FxIY33z58hkGd+HChYbXonz58nb++efb7t27XQgULlzY2I+waNEiF+RbtmyxokWLGqEO0mB4hw4d6gIfsdC/f38XI6zCy5Qp421AwGPseUas6GnvhRdeaFWqVLFhw4a5sSYUgTeEsrt27ep7i6gXb2C5cuXsxx9/NDwWLBBKly5t1apVcyGFQc6ePbvhqqcOwiV4WegLhv2ss84y+hBhRhs4EAm0/9xzzzUMPUKIfRzwZbECJ0KZfNInvDY8N8QB8xfPlLoRF4iSPHny+B6Pp59+el/Yk3p0iMDREIgZIRBC+AcHBh0DikmIwcTE949ECRe4zoBlYmOwMfiYKCP7CxKS6D8RiHoCIew/BhC069at2+cFQ/SGEAzDf9ppp7lB4b2vXr26e8YIA2CgePcxRhgqjDr55s+f7yGGc845x8MQCASMOoaJ8VWiRAnDMGZPMJalSpUy8q9atcrYoEgIgnDE9ddf78KcurmG5wIjeeaZZ3oIgnIQHXkTwhikR7Dg5WDsIugxtkWKFDEMPytkjCdingPjTnsjD4mVOGOf9iFebr75Zps8ebILD0RA5cqV7fTTT3dXfpYsWYx0ZcuW9T4gQrjHwiB9+vRG3/hk1X7SSSe5d4S+0xYMd5s2bdxrkjp1aqMs2hxpB0zxPrJ/gOvMLZzDCaFRsGBB94BQFwecCXVWqFDBwziUQ//wriDmQgh2ySWXWP369bmlQwSShECqJCklCgrBxRhCcLc/zSH2jxuTAV+rVi1D7ePuSxyPXLBggU+GrB5Q33fffbcxWeG6ZOc19ylLhwhEOwGMBQYTA0ZbEbesfgsUKOAr+BCCu+G5RxgthGAYHMYNxp+8fMe4YewwpKx8MbgYZ8rF+BE6wHgjDjDOGDbqDiG4GztSNuVh+EiHIMcYY9wohzJx95OXOjkog0/a9MEHHxhGj7GLcSU9beIIIRiflM89xnmdOnWsZs2aLjIo0xL+0Q5W9uwbor2MZYQH4oH+UCZiBMNNWSEEN+Z8p93kIQ3tfP75511A4MWgTuqgXlz3lvCPMmHFdT45Ei773gpCACEEoy/0nTSUQV85QtjbH9qGAIIx3gM8kyEECyE4V9IiRBBZl112mZGW9pn+iUASEIgJIcDKh53HqG7cgcTuOiTEAVm14FpkAN55553GiuOuu+4y4pNMNgxkBjxxPSYN0jG5MSnhDcBtysBMAs4qQgSOGQEMGxvb5s6d6+5nXPDsj0EMEMPHuPETNNzf7IPhVwV8smL/3//+5+533OSMBfbRNGnSxH+Ki/sflzTjixUzK+kuXbpYz549DYHBqpZQAG53Vv6EBnB/42UYO3as4XJv3ry570lgxU7YAYNXrFgxX50jzPHCkZdy+OQaRo/vQ4cONQQBQoWfGRJioGxc6fSF1TZhAjb+InrwNCASAE2ogg3E9913n9FHjCird7wJrVq1st69e7sXJITgXgvKGzhwoIcPPv74Y99zQd9pF94J9gYQ6iB0wa8vGjVq5HsIKB/+mTNndm8A8w0igTaEEAxPAl5G2s2Cgzg/33kesKJM9mMwz9BHGLGXgF88wQ+RQUiH8vDG3Hrrrb4BmgUNoonrOkTgaAnEhBBg8OPCZMMP8UBidXfccYex+QfVDyTccU888YSx6uc+7j5WEUxMt9xyi7vaKIe0qG1icEwYTC5c0yEC0UoAQ8/7zPvOapG9MPw6pmvXrpY7d25f6fKuY8Rz5szpHgI2v2HcGzZs6D8zxEBitDEu5GcVzC8R+IUNm+DwmOECx6DjXeNXCRhINgGy0RC3PZv2SI+rv0OCEMdYYvQx7hhj8iK2idvjrSO+zieCmzHHZ+3ata1Zs2a+aY62YeDpW5MEccKGO8pmsxwbBjGM/ByYemkPQj+E4I+JcYvoR+QTFmB+wPXeuXNnu/baa41zRA/zAn3gp5f04eWXXzbqZVXeqVMnq1GjhgsJNhFTBwY6V65c/qskvt9+++3+CyTmGTb4cQ5jGsFzYb6BBa586mbvAf3jGuXgfWSeIYwRqYv5iHaxsIEtmw0RXbSRZ9GiRQvfZ0H51KNDBI6WQEwIASYX4m1MMNWqVfMNPkxAuPgSA2KlzyqCmCiTC/dxITIpkB+XXQjBmBAoC1GB6zBxGfouAlFD4K+GIGCJj/MeV61a1Xi/2YiHyCUJK2xW89zH+JQqVcrj/BgX7iOMuceqlvMQ9o4BXPkICfIwdhhniAOuY2jZa4Ax5xorcAQC3ymP8YPRY4yxX4B0pKd8rjE+ERy428nDOZ+UgVeO8Ui9lItnj3PKoGxW+sTzScfBed68eSl6v4PxjMCBTcRocg03PfnpAwaXc9rBnEDfaAeigbqom37TLkQIAoFwB/MG5XJQaQjBEAD0g/PIgbCifDgipmBB+dQTqQ/2rPDxDuD1IJxBv5mraCf3I+3gnHyR8vUpAklBICaEQFKAUBkiIAIikBwEQgi+eGHFj6hBxCEWEDnJ0R7VGX8EJATi75mrxymTgFodwwTwMBCqwfOBN4DzEPaGOWK42+palBCQEIiSB6FmiIAIiIAIiEByEJAQSA7qqlME/ouA7ouACIjAcSIgIXCcQKsaERABERABEYhGAhIC0fhU1KZ4I6D+ioAIiECyEZAQSDb0qlgEREAEREAEkp+AhEDyPwO1IN4IqL8iIAIiEEUEJASi6GGoKSIgAiIgAiJwvAlICBxv4qov3giovyIgAiIQ1QQkBKL68ahxIiACIiACInBsCUgIHFu+Kj3eCKi/IiACIpDCCEgIpLAHpuaKgAiIgAiIQFISkBBISpoqK94IqL8iIAIikOIJSAik+EeoDoiACIiACIjAkROQEDhydsoZbwTUXxEQARGIQQLJLQSqJzDNo8PEwMRA40DvgN6BqH0H6iQ8m5j9L1mFQAhhecKxSEcQgxB1DPRM9Ez0DugdiLwDy2NWBSR0LFmFQEL9+k8EREAEREAERCAZCUgIJCN8VR1FBNQUERABEYhTAhICcfrg1W0REAEREAERgICEABR0xBsB9VcEREAEROAvAhICf4HQhwiIgAiIgAjEIwEJgXh86vHWZ/VXBERABETgoAQkBA6KRjdEQAREQAREIPYJSAjE/jOOtx6qvyIgAiIgAodBQELgMGApqQiIgAiIgAjEGgEJgVh7ovHWH/VXBERABETgqAhICBwVPmUWAREQAREQgZRNQEIgZT+/eGu9+isCIiACIpDEBCQEkhioihMBERABERCBlERAQiAlPa14a6v6KwIiIAIicMwJSAgcc8SqQAREQAREQASil4CEQPQ+m3hrmforAiIgAiKQDAQkBJIBuqoUAREQAREQgWghICEQLU8i3tqh/oqACIiACEQFAQmBqHgMaoQIiIAIiIAIJA8BCYHk4R5vtaq/IiACIiACUUpAQiBKH4yaJQIiIAIiIALHg4CEwPGgHG91qL8iIAIiIAIphoCEQIp5VGqoCIiACIiACCQ9AQmBpGcabyWqvyIgAiIgAimYgIRACn54aroIiIAIiIAIHC0BCYGjJRhv+dVfERABERCBmCIgIRBTj1OdEQEREAEREIHDIyAhcHi84i21+isCIiACIhDjBCQEYvwBq3siIAIiIAIi8G8EJAT+jU683VN/RUAEREAE4o6AhEDcPXJ1WAREQAREQAT+n4CEwP+ziLdv6q8IiIAIiIAImISAXgIREAEREAERiGMCEgLx8vDVTxEQAREQARE4AAEJgQNA0SUREAEREAERiBcCEgKx+aTVKxEQAREQARE4JAISAoeESYlEQAREQAREIDYJSAjEwnNVH0RABERABETgCAlICBwhOGUTAREQAREQgVgg8H8AAAD//8O0StAAAAAGSURBVAMAf5J44DxFprwAAAAASUVORK5CYII=\" width=\"514\" height=\"1173\"\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eConflict of interest\u003c/strong\u003e\u003cp\u003e\u003cem\u003eThe authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/em\u003e\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003cp\u003e\u003cem\u003eAll authors have seen and approved the manuscript.\u003c/em\u003e\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003eThe authors declare that no funds, grants, or other support were received during the preparation of this manuscript.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.B.: Investigation, Conceptualization, Methodology, Formal Analysis, Data curation, Visualization, Writing original draft. F.M.: Investigation, Conceptualization, Formal Analysis, Data curation, Visualization, Writing original draft. A.C: Investigation, Data Curation, Writing\u0026mdash;Review \u0026amp; Editing. L.I.: Formal analysis, Validation, Resources, Supervision, Writing\u0026mdash;Review \u0026amp; Editing. T.C.: Validation, Resources, Supervision, Writing\u0026mdash;Review \u0026amp; Editing.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe data supporting this study are available when reasonably requested from the corresponding author.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAayanifard Z, Saffron CM, Hamdani SS, et al (2024) Technoeconomic Analysis for Biodegradable and Recyclable Paper Coated with Synthetic Ionic PBAT for Packaging Application. 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Cellulose. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10570-025-06838-8\u003c/span\u003e\u003cspan address=\"10.1007/s10570-025-06838-8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Ethylene-modified polyvinyl alcohol, barrier coatings, Kraft paper, rheological behaviour, coating processability, sustainable packaging","lastPublishedDoi":"10.21203/rs.3.rs-8144087/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8144087/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe application of biodegradable polymeric coatings is an effective strategy to enhance the functional performance of paper-based materials while preserving their recyclability.\u003c/p\u003e\u003cp\u003eThis study investigates the relationship between polymer concentration, processability and performance of an ethylene-modified poly(vinyl alcohol) (m-PVOH) coating applied to a Kraft paper (KP) substrate.\u003c/p\u003e\u003cp\u003eThe rheology of aqueous m-PVOH solutions (5\u0026ndash;30 wt%) were measured to assess their suitability for high-speed coating processes such as gravure and flexography, and the effect of ageing on their stability. Viscosity increased with polymer concentration, with a critical transition between 20 and 30 wt% where polymer\u0026ndash;polymer interactions and irreversible structural rearrangements became dominant.\u003c/p\u003e\u003cp\u003eFormulations containing 10\u0026ndash;20 wt% m-PVOH were selected for paper coating based on the rheology and processability criteria. Higher polymer concentrations reduced impregnation into the paper matrix, leading to the formation of compact and continuous coating layers. The coated papers exhibited significantly enhanced air and water resistance, while maintaining stable oxygen and water vapour barrier properties (OTR\u0026thinsp;\u0026asymp;\u0026thinsp;580 cm\u0026sup3;/(m\u0026sup2;\u0026middot;day\u0026middot;bar), WVTR\u0026thinsp;\u0026asymp;\u0026thinsp;4 g/(m\u0026sup2;\u0026middot;day)). The coatings also increased surface polarity and preserved the mechanical integrity of the substrate. m-PVOH formulations can enable scalable, recyclable, and environmentally friendly paper-based packaging solutions.\u003c/p\u003e","manuscriptTitle":"Balancing Processability and functional Performance of Ethylene-Modified PVOH Coatings on Kraft paper","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-11 06:08:30","doi":"10.21203/rs.3.rs-8144087/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"723bf7d9-48b6-4c8c-b5ec-373250dd560f","owner":[],"postedDate":"December 11th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-01-28T04:39:51+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-11 06:08:30","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8144087","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8144087","identity":"rs-8144087","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}