The effect of high Nb linepipe steel chemistry on girth weld heat-affected zone (HAZ) softening and toughness

The effect of high Nb linepipe steel chemistry on girth weld heat-affected zone (HAZ) softening and toughness | 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 The effect of high Nb linepipe steel chemistry on girth weld heat-affected zone (HAZ) softening and toughness Ozlem Esma Gungor, Lode Duprez, Nuria Sanchez This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7463086/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 In this his study, the effect of high niobium alloying (Nb > 0.07 wt.%) on heat-affected zone (HAZ) softening and toughness of girth welds in linepipe steel were investigated. Laboratory heats were cast with varying concentrations of C and Nb and then thermo-mechanically controlled processing (TMCP) rolled to the desired thickness. Physical simulation of both unaltered and reheated HAZ microstructures was performed for different cooling rates and the HAZ softening was compared between the different chemistries. Further experiments involving girth welding simulation using multi-pass gas metal arc welding (GMAW) were performed on flat plates with selected – low C, high Nb – composition. Through macro hardness mapping of weld cross-sections, as well as Charpy impact V-notch and Crack Tip Opening Displacement (CTOD) testing, it was observed that the HAZ exhibited a limited level of softening and maintained excellent toughness. High strength linepipe girth welding niobium heat-affected zone Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 1. Introduction In North America, several girth weld failures have been reported over the past decade on natural gas pipelines which were built using TMCP rolled X70M linepipe steel [1–3]. These failures took place either during hydrotesting or shortly after the pipeline was put into service, specifically at nominal strain levels of less than 0.5%. Girth weld strength under-matching and HAZ softening have been pinpointed as significant contributors to these failures. The primary cause of under-matching girth welds is recognized as the application of high heat input during manual girth welding but also employing a low strength cellulosic electrode. Concerning the latter factor, although there is no specific acceptable limit defined, it is recommended to minimize the HAZ softening to less than 15% , and more preferably less than 10% of the base material hardness in the case of ultra-high strength steels, e.g. X120, designed for gas pipelines [4]. Similarly, a softening of 15% was considered as the acceptance limit in a more recent study dedicated to HAZ softening with focus on high strength linepipe steel grades (X70 and X80) [5]. There are number of factors that influence the extent of HAZ softening in a girth weld, such as chemical composition of the steel, girth welding parameters and the pipe wall thickness which also influences the HAZ cooling rate. Nevertheless, stipulation of minimum limits for C and Pcm of linepipe steels to control the HAZ softening has been under discussion within the pipeline community. In production of modern linepipe steels, niobium (Nb) alloying is a widely employed strategy due to the effectiveness of Nb for inhibiting austenite recrystallization [6–8]. Incorporating this element into the steel composition accompanied by thermo-mechanical controlled processing (TMCP) enables the production of linepipe steels in larger wall thicknesses, particularly on coil, and also achieving high strength along with a good toughness through realization of a fine microstructure. For European pipelines, limits for Nb stipulated historically in the former EN 10208-2 standard were relaxed in Annex A (giving specifications for PSL 2 linepipe ordered for European onshore natural gas transmission pipelines) of ISO 3183:2019 [9] but with the condition of reduced C, following the formula Nb + C ≤ 0.20 wt.%. The motivation to raise the Nb-content to above 0.7 wt.% was driven primarily by the need for cost effective-solutions and the positive impact of Nb on the mechanical properties of the final product, as described above. Furthermore, reducing the C content in steels with high Nb levels is advantageous in terms of weldability, basically for preserving high toughness in the HAZ [10–14]. In previous study, an excellent HAZ toughness was demonstrated for both the seam weld and the girth weld of a 23.7 mm thick spiral welded X70M linepipe containing 0.1 wt.% Nb [15]. In order to address future questions on the HAZ softening behaviour of high niobium alloying (Nb > 0.07 wt.%), the subject was investigated within this study on lab processed steel with the focus of both softening and toughness of the HAZ and with the particular interest in the behaviour of low C, high Nb steel concept. 2. Softening assessment of (simulated) HAZ 2.1 Production of lab plates for HAZ simulation experiments Three different levels (low, medium and high) each of C (0.03–0.06 wt.%) and Nb (0.07–0.10 wt.%) were selected for this study and thus nine target chemistries with otherwise the same base composition were defined within the limits of the application standards (API 5L [16] and ISO 3183 [9] including Annex A), targeting an API 5L PSL2 X70M linepipe grade. Lab casts with the compositions given in Table 1 were produced using a vacuum induction furnace, then the reheated ingots were processed in the lab with TMCP rolling to reach a final thickness of 11 mm. All lab plates met the minimum requirements for an API 5L for PSL2 X70M line pipe grade, as shown in Fig. 1 and Fig. 2 . Table 1 Chemical composition (in wt.%) of the laboratory heats produced Alloying Mn Si Al Ti + V + Nb Ni + Cu + Cr Base alloy ≤ 1.6 0.26 ≤ 0.025 < 0.15 < 0.5 Heats C Nb Nb/C Pcm Ac 1 * (°C) Ac 3 * (°C) 1 0.028 0.071 2.6 0.13 714 884 2 0.041 0.070 1.7 0.14 714 879 3 0.061 0.070 1.1 0.16 714 873 4 0.030 0.090 3.0 0.13 714 884 5 0.042 0.093 2.2 0.14 714 880 6 0.058 0.086 1.5 0.16 714 874 7 0.027 0.099 3.7 0.13 714 885 8 0.043 0.104 2.4 0.14 714 881 9 0.062 0.107 1.7 0.16 714 875 * Ac 1 : austenitisation start temperature in heating; Ac 3 : equilibrium temperature of austenitisation end in heating; theoretical calculations for both Ac 1 and Ac 3 were done according to the empirical formula given by Kasatkin et al. [17] Charpy impact test results of high C, med Nb lab plate (heat 6 in Table 1 ) were excluded and not presented on Fig. 2 (despite of its acceptable toughness performance) due to deviations on the realization of targeted processing parameters experienced during production of this plate. Comparing the absorbed energy values measured on the lab plates down to -80 °C, low C, high Nb chemistry (heat 7 in Table) showed the best toughness performance. 2.2 HAZ simulation experiments Different regions of unaltered and altered (reheated) HAZ microstructure of multi-pass girth welds were simulated on the lab materials by means of single and double thermal cycle dilatometer experiments, as described in Table 2 . The cooling time (t800/500) range was selected in such a way as to cover both low and high heat input welding conditions proposed by the International Association of Oil & Gas Producers, IOGP (within Appendix 2: Weldability Test [18]). Referring to the heat input levels specified, the resulting cooling time calculated for a 20 mm thick material was ranged between 3 s and 20 s. The austenitisation start and end temperatures (Ac 1 and Ac 3 ) of the heats produced were determined experimentally from the dilatation curves obtained during heating as illustrated in Fig. 3 : Ac3 temperature values were in agreement with those calculated (given in Table 1 ), whereas a higher Ac1 temperature of 750–760 °C was found. The simulated HAZ regions were: Unaltered : Coarse-grained HAZ: CGHAZ Fine-grained HAZ: FGHAZ Intercritical HAZ: ICHAZ Subcritical HAZ: SCHAZ Altered (reheated) : Intercritically reheated CGHAZ: IC-CGHAZ Subcritically reheated CGHAZ: SC-CGHAZ Subcritically reheated FGHAZ: SC-FGHAZ Table 2 Welding thermal cycles applied to simulate different regions of unaltered and altered (reheated) HAZ Simulated HAZ region 1st thermal cycle 2nd thermal cycle Tpeak (°C) t800/500 (s) Cooling down to* (°C) Tpeak (°C) t800/500 (s) CGHAZ 1300 3, 8, 15 RT - - FGHAZ Ac3 + 10 3, 8, 15, 20 RT - - ICHAZ between Ac1 & Ac3 3, 8, 15, 20 RT - - SCHAZ <Ac1 15, 20 RT - - IC-CGHAZ 1300 3 50 between Ac1 & Ac3 3 8 200 between Ac1 & Ac3 15 SC-CGHAZ 1300 3 50 <Ac1 3 8, 15 200 <Ac1 15 20 200 <Ac1 20 SC-FGHAZ Ac3 + 10 15 200 <Ac1 15 20 200 <Ac1 20 * The maximum interpass temperature applied during multi-pass girth welding; RT: room temperature (no elevated interpass temperature) 2.3 Softening assessment in simulated HAZ samples The Vickers hardness of the heat-treated dilatometer samples was measured under loading of 5 kg (HV5). Figure 4 shows the average hardness (of three values) measured in the base material and the different HAZ regions simulated. The CGHAZ ‒ either unaltered or reheated ‒ did not show any softening either at low or high heat inputs (t800/500: 3 s and 20 s, respectively), but instead some extent of hardening was observed (max. values reaching 267 HV5). When comparing other regions of unaltered HAZ (cf. FGHAZ, ICHAZ and SCHAZ), the majority of the chemistries displayed some softening in the FGHAZ and the ICHAZ, but only at a very high cooling time of 20 s, except for heats 7 and 9 which showed no softening in any of the unaltered HAZ region for any of the cooling times. Simulation of reheated FGHAZ and ICHAZ was performed only for subcritical reheating and only for high heat input welding (reaching t800/500 cooling times of 15 s and 20 s). In these regions, almost all chemistries showed some degree of softening, but it was never excessive. Overall, HAZ softening was acceptable (i.e. <10%) for all chemistries as summarized in Table 3 . Table 3 The level of softening measured in HAZ regions simulated on lab heats with varying C- and Nb-contents 3. Girth weldability assessment 3.1 Production of final lab plates Based on the evaluations made on nine different chemistries for Charpy toughness and HAZ softening, the low C, high Nb (heat 7) chemistry was selected for actual arc welding experiments, since it also represents a good example of a high Nb chemistry within the chemical limits defined in Annex A of ISO 3183:2019 and a relatively low Pcm (cf. Table 1 ). New upscaled heats were produced to provide enough plates for the welding experiments and the ingots were TMCP rolled in the lab to reach a final thickness of 20 mm. Tensile and Charpy impact tests (the latter at temperatures down to -100 °C on specimens taken from mid-thickness) were performed on the lab plates produced for welding on samples in the direction transverse to the rolling direction (i.e. in TD). Mechanical properties (cf. Table 4 and Fig. 5 ) of the lab plates met the minimum requirements of API 5L for PSL2 X70M linepipe grade. Table 4 Transverse tensile properties of the lab plates produced for welding experiments Test no. Rt0.5 (MPa) Rm (MPa) Ag (%) 1 525 606 10.2 2 532 611 10.8 3.2 Welding experiments As joint preparation for welding, a semi-V bevel was applied on a 20 mm thick lab processed plate with permanent backing. Multi-pass GMAW with interpass temperature control was performed using an ER70S-6 classification wire (according to AWS A5.18) to simulate the conditions of mechanized GMAW girth welding practice typically applied on onshore natural gas transmission pipelines in the field. A welding heat input of ≤ 1.0 kJ/mm was used without a max. preheating temperature of 50 °C and a max. interpass temperature of 200 °C. 3.3 Properties of the welds In order to assess possible HAZ softening after welding, macro hardness mapping of the weld cross-section was performed. Vickers hardness (HV5) measurements were carried out using a 5 kg load. Coloured plots of the hardness values versus the position of the indents, given in Fig. 6 , demonstrate that the highest amount of softening took place in the re-heated HAZ, and it was more evident on the bevelled side (non-straight fusion line), but it was still at an acceptable level. Transverse tensile testing of the weld was performed on full-thickness flat (excess weld was machined off at root and cap) specimens. Fracture took place in the base material for all samples, which indicates that the tensile strength of the weld zone was over-matching the strength level of the base material. The tensile strength measured was 620 MPa and the weld thus met the minimum requirement (≥ 570 MPa) of API 5L for PSL2 X70M linepipe grade. Charpy impact V-notch testing was performed on full-size (10 mm x 10 mm x 55 mm) specimens taken from near the root of the weld (as described in ISO 13847 for a wall thickness ≤ 20 mm). The through-thickness V-notch positions tested were weld metal (WM), fusion line (FL) on the straight-sided bevel side and 1 mm distance from the fusion line (FL + 1). The HAZ outperformed the WM as it showed excellent Charpy toughness at -20 °C (cf. Figure 7 ) and no toughness deterioration was observed in the CGHAZ after testing of FL notched specimens at a lower temperature of -40 ºC. The fracture toughness of the weld was evaluated through crack tip opening displacement (CTOD) testing at -10°C using BxB single edge notched bend (SENB) specimens. The through-thickness notch was placed in the CGHAZ as close as possible to the fusion line on the straight-sided bevel side. Excellent fracture toughness was measured in this location (Table 5 ). Table 5 CTOD fracture toughness measured in the CGHAZ of the welds Sample 1 2 3 δ (mm) / * 0.68 / m 0.73 / m 0.64 / m * Failure mode m: readings are taken when the first maximum force plateau for fully plastic behaviour is reached. 4. Conclusion Girth weld integrity can be ensured by achieving high strength in the HAZ (via minimised or controlled softening) and the weld metal (over-matching the strength level of the base material) together with an adequate cracking resistance, in other words high toughness. In this study, HAZ softening was systematically assessed via physical simulation of different HAZ regions on lab processed TMCP steel with varying concentrations of Nb and C. The highest softening occurred for a very high cooling time (t800/500 reaching 20 s) with the degree of softening still being acceptable at ≤ 10%. Additional experiments into girth welding simulation in the lab using multi-pass GMAW indicated that the low C, high Nb linepipe steel concept, designed for producing pipes with a 20 mm wall thickness as per ISO 3183:2019, Annex A, is suitable for onshore pipeline installation. By applying an appropriate welding procedure and selecting suitable consumables, it is possible to achieve a weld metal strength that exceeds the base metal, as well as high toughness and a minimal softening in the girth weld’s HAZ. Declarations Conflict of Interest The authors declare no competing interests. Funding Partial financial support was received from Companhia Brasileria de Metalurgia e Mineração (CBMM). Authors Contributions All authors contributed to the study conception and design. Formal investigations were performed and the first draft of the manuscript was written by Özlem E. Güngör and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript. Acknowledgments The authors wish to thank Companhia Brasileria de Metalurgia e Mineração (CBMM) for supporting this work and for permitting the publication of this article. Data Availability The authors declare that the data supporting the findings of this study are available within the paper. References Y.-Y. Wang, S. Rapp, D. Horsley, D. Warman and J. Gianetto, "Attributes of modern linepipes and their implications on girth weld strain capacity", IPC2018-78809, Proceedings of the 12th International Pipeline Conference IPC2018, Calgary, Alberta, Canada, 2018. Y.-Y. Wang, D. 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IOGP S-616 – Line Pipe, Supplementary Specification to API Specification 5L and ISO 3183 Line Pipe. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7463086","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":516852997,"identity":"6fd1318f-752b-499a-acbe-5a20eb173379","order_by":0,"name":"Ozlem Esma 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19:19:12","extension":"png","order_by":20,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":67969,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/cf24f42f9ebb87db5aacc2e8.png"},{"id":92442847,"identity":"2828c01e-6295-40e9-9f98-450bb6f93baf","added_by":"auto","created_at":"2025-09-29 19:11:12","extension":"xml","order_by":21,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":53612,"visible":true,"origin":"","legend":"","description":"","filename":"WITWD25007080structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/71d3f79910b590c0542e1a71.xml"},{"id":92442992,"identity":"fcd4c6c6-2e93-42e4-830f-79b5a9c927d0","added_by":"auto","created_at":"2025-09-29 19:19:12","extension":"html","order_by":22,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":59502,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/105462030caac733b9583eab.html"},{"id":92442832,"identity":"ee6d5163-c274-4968-8bb5-a0510c2b2565","added_by":"auto","created_at":"2025-09-29 19:11:11","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":319120,"visible":true,"origin":"","legend":"\u003cp\u003eTransverse tensile test results of the lab plates\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/5fb629a62191ddeb1ae262f8.jpeg"},{"id":92442985,"identity":"07f5bbd9-d5dc-4ebd-9437-b81cfa05d73b","added_by":"auto","created_at":"2025-09-29 19:19:11","extension":"jpeg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":375056,"visible":true,"origin":"","legend":"\u003cp\u003eTransverse\u003cstrong\u003e \u003c/strong\u003eCharpy impact V-notch test results of the lab plates (except the one processed with heat 6)\u003c/p\u003e","description":"","filename":"floatimage2.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/c269175aaa2235786b78c511.jpeg"},{"id":92442839,"identity":"dc9ca0e1-8093-47c0-a7c5-2915e7a56539","added_by":"auto","created_at":"2025-09-29 19:11:12","extension":"jpeg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":247437,"visible":true,"origin":"","legend":"\u003cp\u003eIndication of critical transformation temperatures on dilatation curve obtained with heat 1\u003c/p\u003e","description":"","filename":"floatimage3.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/e6f6556e91f85c7fb26f2071.jpeg"},{"id":92442837,"identity":"7f8406aa-8bc4-4185-a2c3-49a4368566db","added_by":"auto","created_at":"2025-09-29 19:11:11","extension":"jpeg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":706928,"visible":true,"origin":"","legend":"\u003cp\u003eHardness (HV5) comparison between the base material and the simulated HAZ regions (min.: the lowest average value)\u003c/p\u003e","description":"","filename":"floatimage4.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/9b2c0157c7b8b8c02dbeff1d.jpeg"},{"id":92442833,"identity":"0512ace7-f5b0-44b7-a73b-89784eacc3d8","added_by":"auto","created_at":"2025-09-29 19:11:11","extension":"jpeg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":116993,"visible":true,"origin":"","legend":"\u003cp\u003eCharpy impact toughness performance of the lab plates produced for welding experiments\u003c/p\u003e","description":"","filename":"floatimage6.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/d9b2cd67865fd37535fdd9be.jpeg"},{"id":92442842,"identity":"0f4162d9-048d-43f4-a229-4068236d315a","added_by":"auto","created_at":"2025-09-29 19:11:12","extension":"jpeg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":435636,"visible":true,"origin":"","legend":"\u003cp\u003eHardness map across the weld cross-section\u003c/p\u003e","description":"","filename":"floatimage7.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/1918058bddedb19f81f77a4b.jpeg"},{"id":92442841,"identity":"68102bc1-87ac-4c03-8bee-428fa83e6471","added_by":"auto","created_at":"2025-09-29 19:11:12","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":86893,"visible":true,"origin":"","legend":"\u003cp\u003eCharpy impact toughness of the weld produced\u003c/p\u003e","description":"","filename":"floatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/401a7cd598d8968cadbf3831.png"},{"id":98774799,"identity":"f82d91a9-3b1b-464f-a9e3-f80798904e2f","added_by":"auto","created_at":"2025-12-22 12:14:28","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3083344,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7463086/v1/30b4ba40-1c00-492f-8a75-ef888984fbfd.pdf"}],"financialInterests":"","formattedTitle":"The effect of high Nb linepipe steel chemistry on girth weld heat-affected zone (HAZ) softening and toughness","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eIn North America, several girth weld failures have been reported over the past decade on natural gas pipelines which were built using TMCP rolled X70M linepipe steel [1\u0026ndash;3]. These failures took place either during hydrotesting or shortly after the pipeline was put into service, specifically at nominal strain levels of less than 0.5%. Girth weld strength under-matching and HAZ softening have been pinpointed as significant contributors to these failures. The primary cause of under-matching girth welds is recognized as the application of high heat input during manual girth welding but also employing a low strength cellulosic electrode. Concerning the latter factor, although there is no specific acceptable limit defined, it is recommended to minimize the HAZ softening to \u003cem\u003eless than 15%\u003c/em\u003e, and \u003cem\u003emore preferably less than 10% of the base material hardness\u003c/em\u003e in the case of ultra-high strength steels, e.g. X120, designed for gas pipelines [4]. Similarly, a softening of 15% was considered as the acceptance limit in a more recent study dedicated to HAZ softening with focus on high strength linepipe steel grades (X70 and X80) [5]. There are number of factors that influence the extent of HAZ softening in a girth weld, such as chemical composition of the steel, girth welding parameters and the pipe wall thickness which also influences the HAZ cooling rate. Nevertheless, stipulation of minimum limits for C and Pcm of linepipe steels to control the HAZ softening has been under discussion within the pipeline community.\u003c/p\u003e\u003cp\u003eIn production of modern linepipe steels, niobium (Nb) alloying is a widely employed strategy due to the effectiveness of Nb for inhibiting austenite recrystallization [6\u0026ndash;8]. Incorporating this element into the steel composition accompanied by thermo-mechanical controlled processing (TMCP) enables the production of linepipe steels in larger wall thicknesses, particularly on coil, and also achieving high strength along with a good toughness through realization of a fine microstructure. For European pipelines, limits for Nb stipulated historically in the former EN 10208-2 standard were relaxed in Annex A (giving specifications for PSL 2 linepipe ordered for European onshore natural gas transmission pipelines) of ISO 3183:2019 [9] but with the condition of reduced C, following the formula Nb\u0026thinsp;+\u0026thinsp;C\u0026thinsp;\u0026le;\u0026thinsp;0.20 wt.%. The motivation to raise the Nb-content to above 0.7 wt.% was driven primarily by the need for cost effective-solutions and the positive impact of Nb on the mechanical properties of the final product, as described above. Furthermore, reducing the C content in steels with high Nb levels is advantageous in terms of weldability, basically for preserving high toughness in the HAZ [10\u0026ndash;14]. In previous study, an excellent HAZ toughness was demonstrated for both the seam weld and the girth weld of a 23.7 mm thick spiral welded X70M linepipe containing 0.1 wt.% Nb [15].\u003c/p\u003e\u003cp\u003eIn order to address future questions on the HAZ softening behaviour of high niobium alloying (Nb\u0026thinsp;\u0026gt;\u0026thinsp;0.07 wt.%), the subject was investigated within this study on lab processed steel with the focus of both softening and toughness of the HAZ and with the particular interest in the behaviour of low C, high Nb steel concept.\u003c/p\u003e"},{"header":"2. Softening assessment of (simulated) HAZ","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Production of lab plates for HAZ simulation experiments\u003c/h2\u003e\u003cp\u003eThree different levels (low, medium and high) each of C (0.03\u0026ndash;0.06 wt.%) and Nb (0.07\u0026ndash;0.10 wt.%) were selected for this study and thus nine target chemistries with otherwise the same base composition were defined within the limits of the application standards (API 5L [16] and ISO 3183 [9] including Annex A), targeting an API 5L PSL2 X70M linepipe grade. Lab casts with the compositions given in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e were produced using a vacuum induction furnace, then the reheated ingots were processed in the lab with TMCP rolling to reach a final thickness of 11 mm. All lab plates met the minimum requirements for an API 5L for PSL2 X70M line pipe grade, as shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\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\u003eChemical composition (in wt.%) of the laboratory heats produced\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"10\"\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=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003eAlloying\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u003cp\u003eMn\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003eSi\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u003cp\u003eAl\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eTi\u0026thinsp;+\u0026thinsp;V\u0026thinsp;+\u0026thinsp;Nb\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eNi\u0026thinsp;+\u0026thinsp;Cu\u0026thinsp;+\u0026thinsp;Cr\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003eBase alloy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c4\" namest=\"c3\"\u003e\u003cp\u003e\u0026le;\u0026thinsp;1.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e0.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c8\" namest=\"c7\"\u003e\u003cp\u003e\u0026le;\u0026thinsp;0.025\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u0026lt;\u0026thinsp;0.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e\u0026lt;\u0026thinsp;0.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHeats\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e\u003cb\u003eC\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e\u003cb\u003eNb\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e\u003cb\u003eNb/C\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003ePcm\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003eAc\u003c/b\u003e\u003csub\u003e\u003cb\u003e1\u003c/b\u003e\u003c/sub\u003e\u003cb\u003e* (\u0026deg;C)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e\u003cb\u003eAc\u003c/b\u003e\u003csub\u003e\u003cb\u003e3\u003c/b\u003e\u003c/sub\u003e\u003cb\u003e* (\u0026deg;C)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.028\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.071\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" 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align=\"left\" colname=\"c10\"\u003e\u003cp\u003e879\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.061\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.070\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e873\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.030\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.090\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e3.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e884\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.042\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.093\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e2.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e880\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.058\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.086\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e1.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e874\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.027\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.099\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e3.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e885\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.043\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.104\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e2.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e881\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.062\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e0.107\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e1.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e875\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"10\"\u003e* Ac\u003csub\u003e1\u003c/sub\u003e: austenitisation start temperature in heating; Ac\u003csub\u003e3\u003c/sub\u003e: equilibrium temperature of austenitisation end in heating; theoretical calculations for both Ac\u003csub\u003e1\u003c/sub\u003e and Ac\u003csub\u003e3\u003c/sub\u003e were done according to the empirical formula given by Kasatkin et al. [17]\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eCharpy impact test results of high C, med Nb lab plate (heat 6 in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) were excluded and not presented on Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e (despite of its acceptable toughness performance) due to deviations on the realization of targeted processing parameters experienced during production of this plate. Comparing the absorbed energy values measured on the lab plates down to -80 \u0026deg;C, low C, high Nb chemistry (heat 7 in Table) showed the best toughness performance.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 HAZ simulation experiments\u003c/h2\u003e\u003cp\u003eDifferent regions of unaltered and altered (reheated) HAZ microstructure of multi-pass girth welds were simulated on the lab materials by means of single and double thermal cycle dilatometer experiments, as described in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The cooling time (t800/500) range was selected in such a way as to cover both low and high heat input welding conditions proposed by the International Association of Oil \u0026amp; Gas Producers, IOGP (within Appendix 2: Weldability Test [18]). Referring to the heat input levels specified, the resulting cooling time calculated for a 20 mm thick material was ranged between 3 s and 20 s.\u003c/p\u003e\u003cp\u003eThe austenitisation start and end temperatures (Ac\u003csub\u003e1\u003c/sub\u003e and Ac\u003csub\u003e3\u003c/sub\u003e) of the heats produced were determined experimentally from the dilatation curves obtained during heating as illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e: Ac3 temperature values were in agreement with those calculated (given in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), whereas a higher Ac1 temperature of 750\u0026ndash;760 \u0026deg;C was found.\u003c/p\u003e\u003cp\u003eThe simulated HAZ regions were:\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eUnaltered\u003c/span\u003e:\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eCoarse-grained HAZ: \u003cb\u003eCGHAZ\u003c/b\u003e\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eFine-grained HAZ: \u003cb\u003eFGHAZ\u003c/b\u003e\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eIntercritical HAZ: \u003cb\u003eICHAZ\u003c/b\u003e\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eSubcritical HAZ: \u003cb\u003eSCHAZ\u003c/b\u003e\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003eAltered (reheated)\u003c/span\u003e:\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eIntercritically reheated CGHAZ: \u003cb\u003eIC-CGHAZ\u003c/b\u003e\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eSubcritically reheated CGHAZ: \u003cb\u003eSC-CGHAZ\u003c/b\u003e\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eSubcritically reheated FGHAZ: \u003cb\u003eSC-FGHAZ\u003c/b\u003e\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\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\u003eWelding thermal cycles applied to simulate different regions of unaltered and altered (reheated) HAZ\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\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=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eSimulated HAZ region\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003e1st thermal cycle\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c6\" namest=\"c5\"\u003e\u003cp\u003e2nd thermal cycle\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eTpeak (\u0026deg;C)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003et800/500 (s)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCooling down to* (\u0026deg;C)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eTpeak (\u0026deg;C)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003et800/500 (s)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCGHAZ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1300\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3, 8, 15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eRT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFGHAZ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eAc3\u0026thinsp;+\u0026thinsp;10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3, 8, 15, 20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eRT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eICHAZ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003ebetween Ac1 \u0026amp; Ac3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3, 8, 15, 20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eRT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSCHAZ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u0026lt;Ac1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e15, 20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eRT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eIC-CGHAZ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e1300\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ebetween Ac1 \u0026amp; Ac3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e200\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003ebetween Ac1 \u0026amp; Ac3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e15\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e\u003cp\u003eSC-CGHAZ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e\u003cp\u003e1300\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u0026lt;Ac1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e8, 15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e200\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u0026lt;Ac1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e15\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e200\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u0026lt;Ac1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eSC-FGHAZ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eAc3\u0026thinsp;+\u0026thinsp;10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e200\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u0026lt;Ac1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e15\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e200\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u0026lt;Ac1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e20\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\u003e* The maximum interpass temperature applied during multi-pass girth welding; RT: room temperature (no elevated interpass temperature)\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.3 Softening assessment in simulated HAZ samples\u003c/h2\u003e\u003cp\u003eThe Vickers hardness of the heat-treated dilatometer samples was measured under loading of 5 kg (HV5). Figure\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e shows the average hardness (of three values) measured in the base material and the different HAZ regions simulated.\u003c/p\u003e\u003cp\u003eThe CGHAZ ‒ either unaltered or reheated ‒ did not show any softening either at low or high heat inputs (t800/500: 3 s and 20 s, respectively), but instead some extent of hardening was observed (max. values reaching 267 HV5). When comparing other regions of unaltered HAZ (cf. FGHAZ, ICHAZ and SCHAZ), the majority of the chemistries displayed some softening in the FGHAZ and the ICHAZ, but only at a very high cooling time of 20 s, except for heats 7 and 9 which showed no softening in any of the unaltered HAZ region for any of the cooling times. Simulation of reheated FGHAZ and ICHAZ was performed only for subcritical reheating and only for high heat input welding (reaching t800/500 cooling times of 15 s and 20 s). In these regions, almost all chemistries showed some degree of softening, but it was never excessive.\u003c/p\u003e\u003cp\u003eOverall, HAZ softening was acceptable (i.e. \u0026lt;10%) for all chemistries as summarized in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eTable 3\u003c/strong\u003e The level of softening measured in HAZ regions simulated on lab heats with varying C- and Nb-contents\u003c/p\u003e\n\u003cp\u003e\u003cimg 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NskwhYHuYBJOpz99TaTHR3hNKGWQ9uy7kwOiI2UMlr5bloO6/VLj9ifqaUkZ67Pl7UrcDIBbU0B08lBSXr955hH/K+mucntcZix5/TDNbXuP+XRwkgqMOwN6QJfqxFuvYRHgQ92GxllPzJCAJm/FeJfB/Xn0xxvUp+EjDv1TU1ODM7X0t7Wo8zhqagHcsxjrw3gO8Ad+H+I2bd68eVUjA5DQhRxYfQ4ge8qt8puIrCUVFBQMRe48OtKJ0m9r1apVJ/rQZGQ5m7Ajfa3j7Nmz3Ulrh1y6Wl4CPMUklJKu3Fqek4EyyvuZNA3fDQmn06fd5WoH3FF4j9uY7gTeCYJ5qTJi/1GH2PepLnEuhc/jYXsScxmHpoOjx+PsRxrv7ebPn+8E3I/PE6jTOEArO/JbXoSy1CPiGAUInqHPnYNgVR1cO6FvHqCsN/DPk8fjPx6r24X+6bGgSIcOHTTyL6QQP7S/Y9asWeN49nuYFtB2GOUtT4cIWud8aMDXuSZr2AjTSb1Ozg7ck058AbP2i+DIdXTqXDr5gRi25X01PgAAEABJREFUUaVDdN11o9iuZ7v0JZSc54y3hpIrc3NzvTrLK7h+5t2t1Lcw3idhiGi0rQf9Fc/xArKECyPqOQdatmyp4fsgfSOVAe8ejNGdmNgdhRy1x7gfLvkOtqQ7mC0kzGJwa0PoedEuGMwZwCbhXcn3TKqr8PNJ3xwjQYPWoy1eo9hm1qxZrv59RZnCn8AAuTV1vMX7B8Afx/uryOwlPNM9SzsSLsJ7tV17YBL8sAyZvR3vtvs9rJI9S3o/8HFF8TVwaIpxcBeZ/ZDVlf32rVq1Wo+8MecuFfnVBU5WFlDnFmzftwAPb5jxw9eFlLM2+TqhO/rzfBrwCeBeiM+FRxoJo4nXmLiICbFHA/YFjw2oRCPl2zlz5mzLgsGe8PFW4G4jftHYsWP9SJbH0IUcqFYOKOfq8UbImjK2Jf3BW5XsJ6N57onMXkRaLl5ZdAftPuTToydrMWbYDzRY7dvdmMR3RpaFaZaRkdGE/vQR76/hBzPJfYX+4m8r0CXKtAW9ucnz8ZtDkYsAO7Zo0aIL9UwG4A/y7Iw+OYEy3S0bxntb/EeUcyvltKI/qQvEY1Mmw5cStyvp3pzTnXrdJafYwLm73JJyNiBd3ZJK+WvT/5uQx3FMvZIAnRvT59pQ/j7k2gKYDOrIxRegEyYR57W5jYA7Brgs0q8BVxccvEq3pFOnTgPBd3/0nYb//tSn3iJb/XE2Wv2hJqSkXnOADtmKjnsXHVVlcCvKapQEY8QvZCXhPpTBI2whunJgdH3x30HzhxCjYv8Piip6G8hMlFVwVhC6XXFx4lJKeh8U4Xb4wEgiX+gaEAc0LJGXB/FH0k88u+2HnLMZ+B9lVSw6gOWSfgdsORqY8cjRL7yfgn8wOzvbs+FP8HwUaWfiPQd+OAPrzU2bNnWwdfA+mrwvMLAWp6envw2MN1PcQ54vMXanEq+RfBbxQxk0H50yZco40sZQxqnUdSnpsdVrDGuvZjwU2DsZiIekpaU9y6R0EZPSe8l7MvEjwf1FQs+1nkZeDQuqX+yA87728ZR/HjFH4qeqA+gT7iz4Qdy/iXuRshsB49V6l1DWbAz/6Kogr2WPkmbeuymvMTh+xLsf4h4JztMpKxVPVOnn/DuJOFdDKbahuZDemuYAhri7SJORs4vwRyP7E+ljyUyex/CuPJ6ALL6FDCYy/v0X4T0MnG4n7tnMzMyXGQc9QvMssPbtCcjyfGBOJN3+VMgCl/eze0vUafSv10h7jPHT/u83IycBfxp95SLK9wPR6zbccMOppDvOnk3atcC/Dy5es3oDMN5m47j7LJNmd+ucDJ9L3X7fMhJ4F9ZOou4bmVBHdQ/oRiL5+fmNif+cMux315BnLn2PqpOdRJxHPf+G9vFEePTvJ2Cfpjx3JRLYifaIm2PfmeTz1pvXCJMoy8m+eus64HN4tw6v4nTB73gmFcEOZIBAPfkXGvD1pCEbAhl08N3pmFtC60Q6szdCBFttvEfKV/MewXDN9b2+eBSZCugWwvehaW38rawSLvErdMR7VGB94HZE8V2Ev6Fz585L+5pf0NDXYw4w4C7Ef4i/k9Wq/xK+MWXKFM+VB1TzPpO/dwmHEv5I2g88DwP27blz52bzPBP/OmlfEC6cNm3aO6R96uSA9y/xQ/EfMpDnlMd9gDHxFjD2vTL64h+kP0r++4DxDH0x77/g3wDuTQz0iSAS9F13mog3/73U88r48eODayDFg/JeoowHiP8YmKHkHY53h4Hsix3xC4H5nPANvDR8wjuPM37mXxBH+D7+L/yXpL1Kud+DY3A+HlwmEfceacMIXyPtD+r4hvfXCd/k/X+Eb+HfJP0V/Gvg5urfYgTC/yEHqpEDyJ199ytCZXcosv/JxIkTg/vSkcUfkL9XkcW38fYDf6DM53t5f9O+CEwueT/AB32b+FE+U8479HN1QBkyP5H4J4G9l/J+En2epwPzCv4T4Yi3T3w4YsQId6ZKiP+OfM8C54+aRXieTbnP4++mrBHWbTk8zyLv08SbJh3PEfc1+dQNgujL0AvTgLFfDiPdfva9Cww8f038MLz97yP66RTq/oT4t3i27jLr4n0U/k3g7LfvUuef1PG278S/RZ6g3/L+BmmvEL4PzsG3NyJQX3ydMuDrC9NDOlaNAxjvm+I9i+fgu0RnpKPOGDlypKsAq1ZBHObCIMcWT/IX69zq1HDYitWGi4hvCi8CIyiKNu8TWOl4nPc3meDsw4RnP55D17A54KpVw+ZASH3IgZADIQfqIQdCA74eNmo9JsljIn704naZZ/3qMamVSWNV4RuM8jMw3J28HICxfhQGelUDfh5/2WyNTsDI9/ykZ+crF9Rw30LKQw6EHAg5EHIg5EC94UBowNebpmwQhHg/tednW2HAtqpKcY8ePfwwzy/mqybV5feYkc4WoB8OXQTtGucbJ/NXhbCgP7NkH+VBxW3LKqDha8iBkAMhB0IOrBgHQqiQA/HHgWDAXwZawQ9W9O7d248CEzWO2rVrl2HYuXPnNPIkDRgwILlNmzZ15kct+vXrl1KOrx8weY94mjRAS227lKysLD9KjBpaK1u/baJf2Xx1Hf4DVqD9Vca1CHdUFqMEIZtrZWdn78H7qvKUrPHnWHWP3XErdiUlJd7Z+wj0e2tIlNYgJM4rND1i1AwjXxn/0DyhDzkQciDkQMiBkAMhB+oXB5ZpwGMcpfC34Zw5c25u27btozk5OVdgTPQi7FRYWHgacQ+PHj36fgyFf2GMasSvKmcSya8xu6r5Vzjf5MmTvV5pMMbeg3jvET8LGq5u3779edCzNgUFhhBhjTn42pi6T120aNEzTIRW9CPDJPOBVELr1q0zyX8z/iafiWswbsaMGQsxYM/HUH0Sok/CYL+etjuAtvPHHPxqfjrx9eXMb1KnTp02LC0tPRiaB0TbetasWbn0uf9C57ustAfHiAjtx3OI792xY8cdCXch3zD67zvAhS7kQMiBkAMhB0IOhByoZxxw4F8qSX7py5b9ZyS2xUA4ijCVcDRGlNeOzeLZc7gDMSzeHT9+fKUrgoBdUecK/mn5+fneLLKieVYZDtxnFhcXf4aB8y/8/kxI3sX7K4E7QM9bGMV7UvgyeULaarsFCxakUFdPfD9wabYCBSZ06NBhm9zc3L3ZDUlp1KhRY/L2Be8+Xpe2AvnrFYhfrzdp0uQsjFrvap6IodoVg34u4V0zZ85UXusNvdBVQDtfCm1fIa+xozTI8V8Y55cWFRWNk1iev4cf+/PstXveff0Ck+yzmbB61RbRoWvgHAjJDzkQciDkQMiBesaBfzRWMRzmYEC4XT8vNTXV1c0y3r1b1HO48wYPHhy7DYQVw1asiPbB4OwGn6Jb/x7Fac8q6Qak9WbV2eM3EQz/TOIOwkC5ANhurBy2JqzxFXCMIn+lK4cwn7pnTJs27VuMnxt49/7Ve6HBH/AAlUgEfNtg1PcFN3/cI1jt9AgO8b0Je4K/xlIAC10ty2HXBT7dFXPCrsBmldPajvde1OW9xY/Aw2MxRP8krjX51sK3Ba4D9W9YXq68cMV9Y2A14vphvHbh2fgrwfeyKVOm+ItpEcpIx/vrpOt37dq1RYBQJJJkedaPb0O5nalj/WbNmkXTy8HqXuDkEl58hyF7J0b77axKv4R39b3uEbNsjEuYQP82ffr0j6QV+iqdZ6ftJ0O7v3JZNmnSpKmke/3dr8jzU/DljXnz5gWyseziw5SQAyEHQg6EHAg58E8cCNPjlQP/aMCDeBQmGkZYAU7EsCcpkjBq1KgEHzDa12NF2Qv0t8HIPAcjdCDxSYQ7AX8K8L7fU1BQcCbGbhpxfYjzV/paAr8DBmk/4AMjmbDGHPVIR4Bz+XOEFUx/COQvKu0MDQcTRsB7A9Jv4HlLjO7zoG8rnl09v4D4Q8BduFOJE3ZtVkPPI24A+e8C/gTobEXojxg8AK3H4a8B9nHqWg96j+D51JycnGbkW5fne8h7S3Jy8mHkv4qJhcdj1snKympM3HGkDyJ9c/xe1L02+c/g+bAWLVpkYLinU8+Z+KOJ2416byGuF6v1SeTdhbyPkccfXTDPg6mpqVdRbnPiQxdyIORAyIGQAyEHQg6EHAg5UAc5oDH7j2hjGGJTJg7Izc29EMP2MgzIAzEK06MZWenNJE4DtjcG6hDis8lzcvPmzTMJb+Z9QwzYV4FpiVF5CkZq97S0tN8oYwrp/mT3y4SfAOePBhDUrqNuV+X9kQN3GHq5ik2chnrHxo0bvwzxph/HSnZPMDsDT3LC04TZrrSTfgQRm0CjP1HssYf98vLymhDnjSk7ALcrtP+F/w1DeyLxGtDbE2p8TyDsAUxf0oYS+oHiPvDxyMLCQtvHnyf2w8SPKf8pYPwRlLWA2xQepsDLf/F8Fv4nnj0bvgcw57A66y8Ken/49vC5M3U/TZhGXQcuWrRoPeDrjAsRjV8OMAFVxuMXwRCzkAMhB+o1BxjXSvQQGTtmyHPoQg7USw5gQ2un6iMaiP9IJJ1D5y92+VO9/iztxxiCHqEJ8mJYdsOI3RCgxqwAeza5J+me884gzg/uPsGo3Jg4z3w3xtBMxRfw7o/u2Olyp06d6lEcn4Mya/Mf+JeCS3DHOPiWglsWcX2JS5UecOnG81rQ0AhDOA9az8JryD+loU76ANJzMIz9+V5/BvjyJk2aeD6b4spktMc9bpk+ffq/gfUjRPke0Eo9AQ/IPwFjaBZ1jOR5Nhm3oA4/7pUv3n1eAI8W0Hj+VLK4Wm4EmP3wljGTspw4zSb/RkwAOlOWio2iyjxu8TsPpicDb7mgErqQA6vGAWRIGU5A5rbcYYcdtho0aNDWDdEPGDBgy+23377B0r8ybT5w4MAt1gCv6pxc2p9CXq2YPmHM3BQN1pqxbT35tjLyWJ9gd9xxxy3VRfWJppWhRdr1K5OnLsIq48j6pvhW2KKJDsLI/z864MtmY5SOnTx58h+8TCGHRmRkyJAhGpGNifNawzQG9DE830Hhh86ZM2cWxqQfFjYFPgvvj9AQRDxH76pycJTFiDXpMdhdLW8DDuL0NYav9HineBPo+R1a7oKmk2fNmjUGw+VMnv/Cnwy8x2Jc1c7kuQOr9Y1mz549BkP9o/Hjx+cTp+Gtce357IBfxi3DB20BvzTMhU2hDvmjN0s09DlCWjABIJS35gHNUmEoIiEFGhrxEMCQwe8QPJ5kOq+RaLzPoQ85sNIcoM8kI18ep/P41tXIYYP0MM4FjQcaKv0rQff18OoV9Of95LkK3yDlZUXoRpHfCK+UK8edkFdlZcuUFXh1MbxyR/kAnpcJtyJ8r6sw0H8NtD+JPva4bIOTF2i/Dr3yNPSrh6uZ/mXL3pqQF2i9hno97dKTxdykwGhEAJbnNPY0/PTCaeT6rPedMkvn8TAPBnZiYC+dMWPGt7wvbN++vSvut/I8EEN4JGHggCtLTEzUW4blRzyKQqLvBDXnqFfjOKgAPDR8E8B5PS6MKXYAABAASURBVJ49HqPx/iy4zoNJ84nLKiwsXAQ93/Ge165du/ZknEH8KYSfE+5LXg3tP0n349ftiU8Erm2bxffjlwJDVMQ6Azp9IS54jobGkT+5adOmrmi6Ou6kYCKr/x5PCHAEpqx79+7pwJEtYNPifwkJPxDnzkBjjHY/kG1Cg8zSkydwZmBF3nKC9zj5tyKyt1qo+q3FMgpILk8LeAhMjeNCHRWd9eorxlX3cworEk7allauH5g74Y6mrTT9yJM7QRFk7nIKORsZPKuheeh2Mj8FnfJW+XOD48GKtjn8uRCfC6+GEoZ8KitbJg/Q3VfCo8nw6kHCZcKtKO/rMxw8upTx7Qf49Dh0Nkg9BN3n4L+HD1/ChwYnL4xB6pZx9JvXGgL92Kf/B50/Q3fx8gZu72f3rPZaCIY3tHTNzc1tinGaTqfpgcCk4b2lZS0G82kwbyhwqaS9AMy9PG9BRRqw61DZ+hi6Gr0arhnAbEdchLhfCJvgj87JydmYcHn4kLx6zh9yAq8e+Jb4ZtS/M5MMr8M8D/xH8n7k3LlzJ6Wnp4+HtjeAacIs51Vg/gPO3smdTPwNwLo6P5rnkRj3k8HqJbxHXR4E9lGeDyavdHbg2R/UaZ+VFfxwU4TyUonzl0TTqc8rEANDjrLWxWD3KsDTyKshPpTV/IXU+yfw3jay+8KFC/en7qak2y4taUC/PXiKvJOI24wdAM/bZ5LnafLOBLYz8X5w3IK87YGz3mTyudtQo7wG52U5f0xrO2SkDwArg0PAJ/L8o6PstvydCJ1+TH1i+eQwms/692HrVV7ZNkkdOnTYuGPHjlsDsCyDl6TqcU4ckJFdWrVqtUK/AVCh1hXmFXX0hKbTRo8efQUTST9kjhXDexP4c3Lr1q37Gtm7d+9GvA/s1KmT/XSFeQxv7cvupI0fMWLELw3RDx8+/Ff6mrcDTfe5IfJgRWmGT2PRP3n4mSGvlt9f0Nl/0Df97mpqyKvl8wrb4zd5hXxNRRZ/xTc4XUSfGgMPvBlwbkOUF+zM36F/If1mVkOgn7H3D2hdhC9bplGA0ZOyaPHHji8AeCRCMpyMnegoXvc4HoZ5w8rlxLuU3xhDwO0+z3gPIe57DNV3pkyZ4hWUh/N+PvkuIc/BGJWu2A2fPHlyAYy/kvfTiH+Lle7RhK5UE9SMA5/m0NKK0s/HnwJOhXhXIy9n9fswjF4FIeI1hWlpabeB23Hg/jL+h7y8vOGZmZkzyXc3vg9xwno/flHLli39eNXnh8jzK3wa0qhRoyLq+oB3f2ToKwxGfyXTIweulD9LGSfDowhwTgrKgPVoUgHlFpP/2OnTp7tSVTp16tSfSfPWm2dTU1Pfhmce77meOLdZM2bOnPkndZieTb71id/fqwRpvyTKn0F5/4bGJ5mU+AHxdbyfjtKbSnvVuLEKjVVdCob1ceC4E7hNJXGFdgW6dOnSEaP3SPjscSGyLdtBl0eHpPkQ+PIltN+Sk5NzJDkCWcdwXhse7gYO3qHuR9OwrWQyk6m9MXq9WUijHvDqdxjNmcj5LZTcvkWLFrMJV8R5lWg/+LY3berEcbl55BEEXUU79wAwH1qfoF5veOI14g7Prjx0R5bsw5FRo0a5kj6bPGcB5ySa5BV3tGPA1xXPEUI2RA4g96GcrGDDo7eCiTTh6vJsBWus82ABv+o8FatHgDzQr14pdTQ34130ZEgdpWDF0UYvxGhdpoLQiMU4/AJD8kkNQp6fmTVr1g88TyDuJfyT+CeIf2f8+PHzmfkW8/4i/lzi7sdY9laXCM+fsUr9EPHjCX/G/wf/M+h61GYhzw/jn6uNe6vBYRb4vEoo7gFdGMjPUv9X0gtOMTd+/Ph84k07h/Ch+fyNGzduAc/P4e/UU5Yr4xpBhfDlHcq9kLhbZs+ePY0JylziXibuSWBfj/KDcDLvzxH/BOmfFBQUuEthOxRiZA8j7SLK8Bc0PTsvPvL1I+DvnTBhwjTCX/EB7sC6gxGhXcbyfAf5riZtuJmkB9re5f1x6nkF/y3+GfxTxH+G4ebxHEFrzWOE7kFlbve9kpCQsIiV37asfLfGmG2m91lPfAbGZCZGOwvGbdoz+B9DB92PHYZOrC4HvyNAOUt10JtK2Rvi52O8/oGwC7cl5aZ27969GQbn2UT8DzgnjDxGlNEZwL4B7P9R94Agspr/aXxT9xXg5XWrLyFOjaQPvCC1dSYTyJY+692t8SYkaG0JA3qA29lMRLaeM2eOvzugrCwTO+A8QuWVp35/Mob63DELDHjq6w2NB8PLx5TP8kLKkJufiBsDfndSn8fEypPCIORAyIGQAyEHQg6EHIhHDizXGFhthMMC/pEDrMB7zKZYQ2vhwoUebfnHPHURQGMUGi8C9wlMOH5hR6ID764U3wkPBrDjsT7GpbsetxL2JM5bjY7FeN2PPH4w7P35R5Fvbd6X6dhdKKHc+QB4xMtjTMo4c5apJYsWLToRQ3UB/k3SPQJCsNixAv89T3NJu6hFixZ+u8Fr9Tl2ATaitEPxw5jg5YLnRtT1H2i9FcN5PVbEd+P9LvC4KD8/P5OJ3c7Qug+0nIiXB5vDkyMw8D2CRTFLd5Tlzo83Ebla765PEXVMI19rwgsx8F/QYK+S2+9RvMZ1HfL7uwNVksPXkAMhB0IOhBwIORByIJ44oHETT/g0OFwwznIwqo4vKSn5P55X6EhJXWQSxuhG0Lk2NP4C/sXsGEzCYPXDZ43T9Un3jOxA0vfAt8XY9IjPKPjyHvCe9/JD4YcyMzM9H0rU0h3lLsIIfob8c/Ee33of4/hRVp+3pr6tMY5vBKaAdydLseMyTCoWUuJPTBg2wFD2x7V4rTaXCB3bQFczcHDlv4zJhHzoDk/2JK49adnUtjN+T4xojwGVMKn5kPdPSW+E/xx6HmEmEtxuRPxSHTsL8vQO4NtTp78B8AhlDyev32VMIv1VJlOpnTp18ihZrP8DPwmYRYT7uVOx1MJrObJKdQ12e7gKH6q+hnypypHwPeRAzXKgofe5hk5/zUrXSpQeG8BXIk8IWo0cwCAbg/+cVdEv8H6wWo2lx09RGJFd8Rqic8uxKsLQfhIj06NC22HI+l3B16T5UbM/TtUWI/dz3nPI57cRxaxKz/VoEHFRl4QhPqBDhw77tW3bdj+ePd/dCD5+hqF/IkCPYKzvx86GRu9gDNTbKKsM2EswVC8G/lFWpnsBp/ODzLmkN8Z3NaK6fFZWViPo60790u/HzpEFCxZ4c5M/2iW9g0yDFxOZQLRhMrMz70XgPZt88sfrSAubNWtmntgkz52Cdu3a7Q09+8oD6NkcnIunTZv2DOEFjRs3vhyD/QLK7A296zMhuBvjvRv13ADvryTv1dAf/CAb9fgRkAZ8B/jeifzV5qwD3AZQ3w2Et7Vp0+ZC/G6878BEwo9nrSuhOX/QsS/03ETaNfjL8Ifyvk3r1q17wsf2PB9O3EWUcyGwtjuv7XYg/hweLiI8sbzMirrND5X7kd7Wiir6ch6eTj4/eD4BmON9JryEOo4G1okkQbW6RuC+KXWcRR0XEp5NnSfyfArPyuVg2imtvMZk4vvgz8PfQro8Md/2vO8KXCpxW+DPxF+EP5OyN4FfvXg+Di9PziVuF/hXafcGmEzq3Yl6/A6IIOaSid+ZvJdSx8mExxOehhfXiygrOJIVg66lB+rvQ90ngY80nQP+HncTd78T8cjdbsDcBu634M8DbhCytyNhd+I3Iy6QEZ5PQ/42gnc9SDsefzFp5xO/K/BBf4iS5DvpW+LdzYpGByG47Ey+K8hnu8mjU4FTNs+1fIAqyiCvteM8rkf9u4Hb/4GbdA0mHAhuMRoq0HUdcLeSdglxewO3Gc/rQ9t6xNv2ytTZxG8PvzsQDibdOOk8EB62rEiVdZO+BX3QBYKKSf5i+Ybkv4L0M/D2s5N4V6Yu5n0QwNXZ1yiusvP7KOmiLnFXTv6P50Ogcxu8t8gFCzrwIR285Nd1pN+IvxR+HkO4hfGoqWaEu+Mv1JN2FGmBjBGejZee0+GXd9RXQgL4LOrakMhKRjB5MsAt4AfpJ/Iuf6Ly6qUD7tSTbdUcuNjXvbQjivPp1Gc9Z4D/Ra1atXLsCOS1nP7tweFavPSrc9Ql6pkd0ZlNocO+dgHpF5H/aHBemzrUsVE9dAYwllkJ4ZYtW3YG3m+tKtGvbgIf9a990T5uv5SXttWp5qtU0Eq+gGcGfhB4nk9oHSdCZ3TsT7Z86rfe20m/lucTwH8zYP7Fe1v8XrxfgL+QMo7gfS3CrfG2kTr7VOjfpCpawGdRxhL00k/k4SmkW57tEGtv6j4RHrWvWtbS3oMGW1pCGBdyoDo5gAGpcqzUaefMmeMZ7XcwHv2Rr10Ib8a49PrOfYBvh8HqqvjS0FBuE1HIlnkysNeQ1/tRL8Rw1yD2Q+RsjPdxwCRjwO5OIeNTUlJGshq/Cwb6kfgPyNcfQ/l60oIrFSnD+/X9QKRaBxKMZelOoU5DqlvswOd/1O+1pHuR5s1IN4OThtsR4FLIrkA+75XyLM4Z/ABbAgZ5B9KvJu+1hNLvEZ0ABMN91uTJk6ewmu6Hv3uQ/u748eNnMznwGJOK61P4chL8DvJQn0eK/Jg6AZyqjf6OHTv6Iyt+7O5NTgsp+8nk5OT3qa8XON0HPn4Un4Ai603bPEjc1eD1M7zxXuNXoa0F/mb8hoWFhf4Q2QII9IP4syhrKrslxrmLdQhl3gBcNyYgfpsiPYBGIijWtpR7EWkHBhEV/jHJ6UzaXvg54PUNZc6nnAuAvZg4f98hNmGqkG11H4spewJ+V+q5Dr8NBf6MnPxKXDI47AattpsfffuB+uOku1vjx+/PAiOcx8HOnTx5smX5QfRO4H09aYMobyLtOp33Nvgb4OfhxOXQ/sFkkLICR7ywd8D7nkFE+T8GaA29fSmrJbj4fcSvJA3Ee9+yFxHU+vcz1B1BPqaAU4dymuRd8HskDKLdkRc/Dr+V9Mk8eyf0J+C+Gf4OaG8FPyZRhjrGD/m3AW4GcjKT0N8zUOYO43nyOuusU4k24jTCzONH4RQRc7aT/dSB1tuIRgK7M7ipT/ZHLgWMyaAvteSTcnJy9gUPFzDeR6a8DMHdxlOp33aN0N5t4MsFvD8HzuqlIcj+W8S15P1e4vvQL6YhH+tSzg28e/vZfGiy782En/aPc4GdnZqaWklHZ2dndwb+Rur1O5xKuot8ttmWhGOB8YKBtQlv5N2LHtJ5rom+RrGRCAZaU8abU8D5VSLsS69C3xCebaPLwMF2Vg/JG3fDbyPNm9wehgd+s1UIzH3k33v+/PkuwnhL0FnEXU45bZCvWcD9RR4Xo64nfhP46e+/EPW3A+444M5q3rx5pWOawHak7CNJ96rV78gxnTIs/2ri+8H7Sn2X9JVys2fPzqc8f8xRubiMzMqCPxo5Fnzkx5aOlU7IwOUi6rTfzOP5Eejzlj1/gPJO4g+YN2/eIuK9avtykdDnAAAQAElEQVRM8v4fvhPvM5EZL0bYnHdlZivCJeinb9pnzmVcqDTBQ9+po/9N+QXkG4m3v54KzteA6xbI52rRjy1QQN3aG4dRpmOmC4rqTRcrdoC/z1HPftD6EXU/Qzv4Wz9nE55KnLRnk+98YC4jvRnxHlMdS9wg3q8j3lvdphFWdN4meAY0nYL8OZbE0ljAc0FPXbqA8qXX8rzf/Wp4uTG8rKSHYhmrPGgIVYkKX6uFA2EhlTiAEPtRs2f90yokaDA6iKjMSumk3rjzJp3CqzJnYJwUlMPGBgKMMVcSDmeWegIGrob3VcC4Uno0gn8Wg5dHUYha7IBxZX9jOtlQdjo8iuOgVMT7AuC99acXBkuAE++uvkfP0C8uoBr+M9u2Pg31Yup1xTAoFfqmwpfXeWlKOBcl5iA6EZgWeJWB/HKAAST4LYGIM3MMFmf9e+bl5TnIHgu/ovTfI2BFn5ub6xGdRHYvPI5DNWV9gC/kwfP+7mysLzzGjL9noM+jHfyGwOjV9QkouuOpy0HDG5RuY3fkR3YIRsLrh6DRtk+CHlfGNSg0Gh8k/Vl488f06dN/xUBwl+JJYPNpP+XBQTIHxBxcxgOXB23TqSMbT3RkLAOMhkaUb9684+DsNaHH0NbKmnCBZwKh0XAzcvI0g+qv8MbJXivKehs+aDCbHsBW479SaPMjYw1SqiqbRl0/UPdI2vQ+ePMSg00xfBkI3TfzXohBdCf0f89ANA4evg9f3U36g5WrJNK9Hcsbp/wgfjxws+UB5XkdrpPSBcB765PtHZBhPyL9JMrPIr87V7FJG5Ngr559G3m8hrq+IIODj6uGxcB6BM3jX0TXrmMC4lV5Tnys2L4znZWwNAbA02DiIUTeC3/umDJlyo+EX0HbPcS/QXwC7asxIb/l0VQMmllz585VV3h0Tz3gBG7qiBEjvJmKLIGTt36D4kqi8hPjEfWqKz6Ar+fTlh9RTztybEKYi38UHJz0RGWQpNpx6Ic06N6Btm2LTM2Bzt/pQ8/y/g6+DCPNXUCP050JRu9huFwhr8D3B+h4kriHwD9fXkPbRJ6JirioMg25WkTZ3t4l39QRf1XZEY3wty/eCam7H4Fe5V3nVdR/IsdnUM9b4FJK2TuSIO+fJ/TyhZroaxTt5W9J+4H7pciv/eRyaPkUPTMa2l8CwIWDYGcYnI7l/STC4cjVQ8jNWOHoB88Tp1HvtbF+V+QRUHcslZeJ8DmHMt0xNV7apjVt2lQDkeIWO8asbuBwNLRvBd+9RnlxAv/p74ngph66j3b7hbocs1zc0JC827IBWx1XBK1/UbeGYiG0jYOu78DD/n0jBTtp8Hc9XNw6HbjPwOF+6P+Dun8j7xDibgHOti8Gxym8ywvHtIB+ZGgOcdIPWGQatM7yIerROV6d7Hi1FbQ67sTGdeTCcdHx4Q7kw0WDDcnvApXXdN8D/12UiRa1KmExY4UTfnFyR34c+M6nv2SB89UU6DHWC6F1KHwZTX3vEe+ChRMcWFGm3vHGNhdMAnrhiXpXPaQdMwV9rY1DUYsdZXtk+FAybw2flziWS/lXU8/90P4b/NiU9xbk9HbDe8A1kEfel+tCA3657AkTq5ED/vCAv8TbrWKZdNKvEfBvEeCvENp83r2G1Cs1PSteiuD7UaaDb29WnA8jvTvK5xzK8Bf42tPZR+G/0aNs/EGP2Ewdw9lB1itMh9Mxg7Pz1oVPo9O0oRx/MGskxk7u4MGDHWC6gYcDsHcLU0X1OI0CBsOf6KAqDo3VaMF+PPoS+PgLv7+Bh4bna8D+gSHnQCmcK14enem/cOHC3cG5Hzy4irKO19BC2Xwr7Xrod2XLPIFnpa03D4dR3pPM+C3DyYk/9uHA2o4y3MHwPcKMX+XRBFx+glcqOrKunmMb3aM4/riKA90I2tf2DwoF11za9k4GLtt5IyJ3hPcLwfVdnmMDOYZEPoakV9mKpwOjOAMSkZbAQIIO4fXGxwYFX1jp8WNmDSt13QYYM3saH/Wsyv2JEh3Bewn8PxDeaghO5P0BFPwKKVFgV9eVpKenl9C2u8GTNhgD78GXheByFgW3hr4fwVuceA1cGTDfw69bGUg9+iXNeo9aaVAEQKTHnoOICv/I5wqhPwxnH9gF48K2CiAmTpyYnZmZ+b/58+cvYFLjZNorg9dCNp5lhe5lgAK+E64JZztab0AvOK2NP5iIufBrGGEMNwZYV4dvZ4LnPdkkBc50+RJMZuCR+sK4oLwAovwf/WcTeN+F1yTK3rNr165OZHiNRCjbie7zyjFy7qqzq4Uec/CbHVfzLDeArc1/yI39QLo3Rcc9T7seji4pwg9BR8xH3ptD02HQnYK8vVSxT4JnCfmfhtbPeNbJE3lTDKzlRuiL8s04J4bRthA2wqRG3eYKuxNsFw5c+Q/S+OcCzRvwayyGjbukJxHn4srv4PMA/BRnoqrfoQM6gr+3b7nq+zr9vaIx6CLJu9D9Cfh7HMiJjQb6Z+jBmL4Cq2Jw9Erpx3iWdnnjoz7gTfBQWip/fKzEGyPQbe7+ugvpivcOjk/G66nLiXlwuQI83oQ20PBLo51uA19v7ROs2jzlKp9l9I394U027fJVbm5uBn3pDCohKPsceivSX8JYMwz95I+LRcgfpa+M5yjN8sW+FcgH5VRy6ByP62kEu/q9U1ZWlhctBDDQOJFVahezSul3LhYcToK7Mncht7EfASVutRyE2W4x/KB9P+TPBZ7P4Xul8ZN6R5F2B+0kr8ynftVYj9FLevBMuVF+RPFz4cijwI7p/m7SDk6eo4nw28njCN/J65HEg3j2iOPN8H0Uzyvkqla6QplCoJADK8sBOuifCPtz+H4MeCrSoAgU52wE+CrCr4koy8/P/wJFdxNKwZXWCEaUK60XAPMscZNRIL8T3oO/HSXnKjXZlu7YznXL1mtP3TYNlCwd1qMzt4PHQOrRWPZX3Eo+/vhjf+RqY+p5hg4U1L30UlctFrz9kHQsePsDUrF+h9L4jrhrKTWoE/weB7f7MSZd6XDr90fSPS7hiuKf8MfB1SMlj2FouQJC1iWdP1pG7MHw6BGMPWf1vEZUvDdBt7+UvDUD/E39+/d/0QTi3JlQQd3Fe6CUCFfLUX4/aGmDXwAeTiAqlQf+8xi4PLLiEQ4nENMxVF0hEU6F6Ypn0vz587NRpjFjmjaSDncpBmOgHMHkwx9AixmgZo56+NuZ+l15fYrQ31g4npWgmCEGnFuVRRgVPeGzv3Bn2a8ij35/EVP0wNWUk8612Dk6h/ovZZAroKJC2rk9773EGXqnYGiJJ0nB8algEkOfGs8KqAOm8YEHti8rQe5QOQAO4j2Ir/jPXQjivZ7UifBE6tiQ9ncQERdBSyhXPJzYyVuPYDmpvm7kyJEOZsKsaR9tG88u+yN10+FXRYMjwI++PJO+5CAavPPPlU7PYh+F7ByOXLrj4uofSZWcK9U7UaYLBa4Ibk+bONBHgUppE+tLZhdHY7U/PJ3J82XUWWPGaLTyZYX0pzza0j79E7StD07+sODz9Cv7WAlxft+zNvkX0DcmEFZy0kRfi/ZB05QJd2kOhF9H0C+cLDnRN62iF25Pyrc+fwTRiZVGSRSmzLJ9Qca3JfTYIOwt9epjj14QVTMOfrjyK92IekKwkFOxJtuLcWYOvPKscnvSstHDrp5HZcz+pi+yz5EurQSB81fQ/Q7rCPhzGDHynCASzetzhIlvD3jjFb+nE2Ef2gu9FhsHy+OK7JvAHc/7OuDjZONhnoOxi3BF3XLhKNdjY5szYfHWt0ORa3WLkzwnVF1Id1xxkhOtV9r1xbSh41SUfkDLvHBhO2j3XPihMFgeOo5Uop90F+5c5XYxYCEZ90T+Kk7wirzaWt1Mmrsg4vJBq1atPNJVLeNRFaZE8fPbC3XCTPpIJV0KfBn9aZILcDxHXWPw2xF6bO/DeV4vmlAxZBKyHmkeofHYjbt+e2K0O0GMgqlfi1kUaIGsyZPuJDjJ9vu1KN+JWr6LGRLLBwtTQw6sPgcw6G5FY49ikNstOht1hRWl+C4K1K2yiIMtBufrCLtKxEr9vYCvULKXA/caCiSPZ387wLv4lztQUtcHKE6NspgCoEMuIr/blFdRxzn46cywXanfnQ7nmcDbrbS6PfQ5QHiN49oYi64wBH3PbXxweBucAlpY5XBm/gH1BwpGpQbdr5B+KWX8iNKfzwB7FXCvAONAQLCkw9AqRkHeCqwrpjEA6prOTsbVrMjJz9uGDBlSohJB8W4Pv/zo98MY8Oo/uKJgKSqygF5fqnoG2GBAYOCKJdEmjVg5W59BZjDhwfgdUO5NwDNQbsC6cjYNnDXOp9F27m7E8pc/JKIcNdDczXgPmAXk34A4lXZQp3CUm0l5J+O7ATMKA+Mh5cw08HCVKAZrXE148HLwcOUyqAs8grBqXfChJYPHToQHw5uDMNYd6IQN5IV8nqGVJ25xu6VdtYgEJjzrQKvHmyYDrxy15n1P+ODKaAzeQQi8PB/sDsp/SfdcqukO5nqf16gHf9tHg2GZ8lUVQWjKLpcbd5rcBg94VxEO3rpr47lnDb6PyeOH6CdG9VYUFh6tQ5rHbOTH9axwu6NkspOCFcbJDNXl0RffwJdT8X5HohzYBx5AZnoSp6yIayJy7gR5RarNg19BXyP0yICyWikfhqc7FWvRt75Cz39CPcry0fCnopHmh6zeMOZZ9E7APN2nT5/XyguSV/Ks/LX6AuqxbGl2hXh5NCsH+oqVJ6Kv/WBxL/h3MP1tbxagOtLmUbhS+o663b6kPOWQVjG/z8noOM+E/wysOw62zwbw31vHTI95Fnp2BV+/ARtPnmtICPQdobyx7XisNueOt8Z0tFxD0DeIBP+oKZG+0A2695R+dM8++C4ASb8w7op645typmwEC0/QYBrZA+f3It4C5xFFJ2vupnot9N5BaoV/TBB3pOwDiJoCr65w/ONZVxP0Kw8ew41QV0V8rW9Z3vaYTT8IdCxAUTuFx8WuXEdsDh0eNfwZXnyHd1fF74gWA5X/Z4yWB/4+zh+09/VEa6uIywrRq2CTJ3QhB6qRA8soCsPcM9t+gJjGILMWYAoqQc046svBkF2akVuMMex5NTtLYm5ubg86JLoj5RIM3oqrT9WKGEb4h3Tqq1EWG6MUPd9YreVXKazMyQFxKlqCv52TJlZ8pV9llMI2quctR7MC8R+gloAnbpUctHqW04lJM2h2hX1p5bgq6KqO9/O7Wh/AsQLsarlxnlu9FaNgffDz/CHFBmLjcZtP5Sn4f0nkEiv8DDprEa8i9aPd7ijRCbxrpO6JweFHouKjIbMt8fuRjhiU3sAkL9ix0HhHNvwYryb1pPz2fOV9IHM7SlzF7aFdv5kYB04aHO3Ybg7imfzmA+MPct1O2nl4v+uwDLJHItDhVaHDkePhPHsOO1LxD5pcMdwYQrNok92A0dDyg7SdMB5iH2p2797dK0+vJG9X6vgY4QrLBQAAEABJREFUw+zV8sE0kUlxd1bGXKkkeY25QAjA/zfw02jowLNb7v+EkFvgk9A/AY8A9tideoDHxQ5eO/G03TMo04m9/UT52pkJ9GaLoSIRd7mo+xxg+hK+S+hZ7iAZo69PM/6Cl1r8R9ukolv60b6/0C/Ezd27t0GhD3E7IT9+C6Gxpfy7KkrScp2y5blpf5DxQ+TgM+jMx1fMlMikcEvKb45s7gFMG/ihHrXfVfpwnHwH4d2F1Ji9Lbq6Cc5ZGIiuQlYst1qexUVPvfaPJc4iRythAPDIxBzeXSlvTqiMlWFo+w2Tq61+Y+SOVB7lmQZIxMnMr/Y3/Aj6VHSSG02PYPC7Q9QX/jiB2pG8fqDKa6m3jaiPLCfCZCeLh8vB0z7/UPPmzYOjM/AlHd8XuWxM+mo7ynfx4zt0p0cxX8rIyAgmN+A+Btzc1VbuXS1W75XBlwLyDCbtbvwheD/iDfAg3jPwoyjrQ+nnfYldHSb+TuLcKVsLoqVf2fCY0vEuHgUF8Q/Z9WNYF9zsx4+hj4KjM9CdyqRhfcJqoZ+qYg5avvGFsJ3fgfm8PA+c7e0Pkkqv323YnyplYRIvHfY3V+e9KMDJCKxJOBEaPb4awMMXL3LQHvIY0kOoi2DyD53NpFddHQAu558NtJzkMCnkQPVygJVjB1w/DlxC8Ku3phUurYxZ8CR61zMY9a62rXDGVQAsQ8l9zMD6CqvgGh2rUES1ZylhNf4HlPiLHmmpztKh1W8JbGtX3bZBMWkYxapASXntmDc4uELxLQNIcwyM7coBShgUxhHn4NGYcCKr4hoOGlPlIIsDeLn4YfF/DY7FT5GIqxv35+fnP0cbv4DyvRSvAbcNg4PKNcIg6QfE3oLh1vGT7FB43CooA+N9bwYcj5ZUMvCiha9uSNlBPcie5yXLwOltfGAAMIlwkPTWB5P7QkN76wM/V3xcxXIgyOFdHlmOXpCY4eBLVc8g5W6D558fpMxXmRg9QAXestEB4+uIKDxw+xIfnOEkvA98ArxatGiRSZ59MGqCiVYUvjrDfygr2v4BvampqRpdfjfREfyXWNHEKPIquGCyjAwFeZZSvvH6IIn+6eJCLu3zkDyCVo/svU9iOnHKSsBj9IU88qiSq6/3I+8eu/DWo47UtRu4BZMu8tWaQ2Y1cjzy1IvJxnzazY/xbqEN/aA5ITMz012ZYbx79GGvqohhVKzD5Cx6HE1eA5oQ0CtsQkJCwCdDvOnS6we87uLcBr+GYszfD/3PkF5ImxyN8Rnwn7boTZx90EWV+xgLAn1LugbbnqSlWkd1e/rIBNrtbcpXf+zq5LRCHQkY2J3BoQvt6Zj0X9L87mSTcgNKfTGL/OprP4CfDpw8ND7gBfDRkMdI9DngDRH+BoiG+6fI0XPIlt883Qkuo+DRpkx2/IA8MmDAgGR006XEO8Hwu7AXWcTwmIWrxK5Wb42eDgxtylxlRx1R/GzTIvTiq+hVJ/F+1+GH9d604+RlU4xNZcmjT+5SeelBU/gwEzkXznL04mJZhk6QgjjoCEIiE9Bp3an3K+h/Fvpfhu47ifeIV19oUkfzGklEr3hT2AbAeivLsy40mbBw4UJ1dX9ke7X7E3hF28Wi5a3fq/h9kR+aOmkJ4v3HSnoTFoH8eF26KuaL0iZY4CuUmwT+PaBxBHQ/L72kOfHxO5xtioqK/HA7gmw1pu2drHjU7HOeh0TbG56sSxlboYP/sb1DAz5gf/ivFjlQhkLNdXWcOpfoCMTVtgtWqjEWXSmuDXxKHVijyqm2iV1KfaXZ2dlV79dfCtgqRZWg8FVSXmV3DIrJX5LtympbdxTjkaTtgl+ELDhwXsLzR/hLSN+RQbUVMO1QZH5o6Up8cN4YRef2tdueHqfxo7kkjARX+L0OLw9l2YmBJ43JQX+U6D5gPQp+L8DPLy4u/or0X/BZxB+MMdoMI+sQ4Hbh3e3vF6mzK3m9A1tD7W7SXC0iuVpdcG85ZbfFeyNQK3DLZCDNx+DScA8qQybfgP7T8eJ7CviyYNVVw7kdNLiK5ncBXnvqamoryyJjB1Z/XdVrRJkdgJNvrro3x0jRAD0VHrehnunyBN7PBO4L4Bygj8F4865rbyo6hjjPe3rd6J+UuTZ82RTjzMFoR+oKBn3qqzVXPgH0HK0roC2goxmTzvmEfkPyKfheh5HodxHdwLcHzyeTNhAjpaA5f/Ax4DcIt4KRfgeRAh2dyOdAmQ4fmmHAZpJHuUlt0qTJXHmEweYRrc+A9eaVnSh7F+DWAe4a8irj3xBORXa6E78pcF6jtzUrl67WUV3tOnDphbF0Jrj0gmx3UjqA6x/EDxs/frxG7P30mReI8wjWufApq9wPpn95S0qpfQg67GvKTyrwGnUeBekANRraadTRTkOE0I8Tu2O8y675tgkwX8LvefDAVVePwHmd7M2UmQkerr7/Rj/vCs82gO/eJHY8+sHVb7JWuyti4nIP9fh9UU8MwquQ8/VatmzZhfrdlfg3hpU0lQJzC3h7E8/hCxYs2Es9BDYa9BrvTp6VAS88MM5jVbZxG4y9RsiFK/dtoc9Fh+YwI5U+5zW1fjRcRP+eR9x8eOJ3XL8JR9nnA9OV3a294Y2TmPnw2t2cMsrrSbvsTjvdBWxzcHbiQ5ZVconUI87Soc5oRxs3Lt+ljZbrSrD923Png+k3+5kHOXIC1hz8PG7jTlQiacb5ATzolrRXDoBVV0u/xxlbwL906ugIT73GtoR+FNBPO/st2ChoUl/7GxhrIwseIzmAOG8T8/rT4Lsk2mdnZNJjra3pj1E8l8eAZaUl0Oe9klg5dsLRkTpTsUV+hb+XQJv9+L/QsDFt3hm+b07apcTLL41y9Y67DeLQNtre4Ov1z96k1IIJaRr5PF7kB9P5tLfN7Tdeo0DKo1N+wHth586dO2VnZx8IXV79Kz/fB4ck2xucnNC4cNOCvqtskXXZLjTgl82bMCXkQMiB1eQAStArHk9G0V2CdyXqCEINZs8h30m6g6KrP24Xe72dA+jWjAreCLMfiu0pBtQzMQ4+a9q0aSbxDrRerejHtu1Qyt6S4k0zrrBfCfxfDC4dCTVqh1JXt379+rkl7Xn4dsQ/QHlXED8GY7QFzxquHhW5iTiV8abU4TGJTNJcKftoNVmwRHbxwehxxf9t8NF4Gc4g5wdtS+jjmTNnPgTMkeCygBWd/VnRcQtfej2b7n3OEcry/m5/U+BKBpwPMBA6Mwg5kGp4StuzxDfCSPGu6XnQ+TsDoxOBBAYMv//w+xPvrr6RstpDfwp1ehuUfHqVd690kyebgscY0h6ijJqY2CzBq4oRyICDqKvd0uTvRwQTOHj0I3AanvJyC/DzY7qdwHUSMnNnt27d8mnrLsQH/Cb+U1a32mqY8KyBegWhK3HeTOXd+R4ZmYGhoQz5IXkGfPG6Se979vcMkuGxaQ/AG/O6ursePNF498Ntd54eYnLoogCo1Z7DyCmATo/yeNylP3h6Natyfikrp640Rpi8TYSes5CJ0/BOkt1F0IByJ+h2JnUzkEdX1f29AXn9CuVkYnjY15TT2+DXXdSjkeqVq05CR8HjYAWTiZYTP49l3QKMfdVJln3vPd6vwD+Dd3Lg1XnyzJ2LO6hDY6ZGmDVu3LgFyIL3qnulbQ7G00HUtw94OPF9Cj0U7AZAew7640La8mJg1qd9D4JWj5p53aKT34fpM6mkp+PvIL/32M9ABlsD35W4T4G/Ej9SfhAqo7/A52L5AnEaj+6eOTm/EvjnKaM9eTWOb6M++6E7wvJlM/J7rM2rUP+Hkf+PBh3lL9VhmKbSpn6v4ZWZTjBn0Z/UAZXg4UMueuIycDoXnJ2kyqe9wfMn4s7A32dZvPshs/RfD9xEymoN3zqT/hU4S//nyH9L9JXHIscQX4T8uKKfgOxp+L8D3FXkfYp3r4vU6Jd+J+Ne3ehta9LvMRPl5g0mn35sWwnfFX2R9+DnbTB+JOrd+o4TynIRbfci+DkufQb/D4T+A8HNay5fpM+8jWFte3lv/h3E+1stc8nTijbzCNqHxNlHfmEX26NCeq/DdsU+oJd0F06GEl4Bva9SfmdCvxu4hfquh4Zp8NO+sDnPHvt8mfi3VqS9lxgwKCB0IQdCDqwqB8J8S3CAleSZKMInUFoamK7+PYkCrPihcpBHOPzDKDpXXF5Csb/AgHIrccMWLFgwj1WLBTy/TVm3kv92BoSPWO3L5v17/H/xtxD/HH4icP/j/T8MNj+OHDnSga+UssaT9hDxt+AfxE8Gzi//b+bZ/K/y/jIwz+Lv4PkGVlWWONMZILsa/8QHA/sP6vDYxS3U8ygrYZ67X9pRnWLw9qz/LRgcT1Dt6/BH3M3rGXc/8v6Nsh6GhlvA9yFWyv9ktWs65UqbtN7H83eUM57Qu9JfAH42ZZXxntelS5fh5JPem3h/EzjPeN5refgn8fJlCDB+PH496S9hBMZ2CiinVhx4TME/i5em/2JsOekLeEbcePw9DHxXYng/gOw8IS1uS8tvnn8Db9tYfj9G3j/xs4h/mXzK2D08ey54InQ+StwrvAcrwrRNLnEf4P9DvLBv8fw9PPwP/jbKfYJ44ZUdPwSXj0Otu1YYU6ESVv3ywWko+DyOUfIcfe5NePE4cU5yNCoCaNpvNjQ8Q9oVyNV9GHfSMMR4APydgsmUYdvL6/uB/ZGyFxB+QPxt+Ft9hocz4dMQ/BPUEfQVDS3ev8XfAVzQJwnHwKe7Ce27D5Im3+VZUAfvylaNTnhsD+gbymr8tRiXd2JwPQn+z4GTR9Ige7GbN2/eAuKGwLsb8S9iXL3ExOgu6H0a+Gngmke698grD7cRP5R4dZy/XWG/VMYeB24SaT8Q3o3/CL54JKasZ8+e9s0XKEMeWsZ3wL3nOzy8HW+avHmRfMrljaR7HjzWfosxXfH/0K1cfEs51qcMvyTOSysBec8Gh1eg/SbSA/rhl2335Jw5c6ZYFm35BbjZvretu+66r7ACP4Py/iLfI9Ah/Y8BMx7/C3B3d+3a9QPkRyPdK3ADmQHOSxZuo7wvyRfIFaH02yYB/eRXX91AGX74usr0y3t2XPx9COlQBl+gnd35hcSId+R7UcaNaWlpN0HrY9TnccrvTQQHL774uJx3t7H6Pqxv376zKC/W3tDyJBM7b7zztzqs41PyBvRC3zToUm9J738oeyTw0XFMHRK0NzAvkGbeW+Cl9/L/I72hAQ+XQxdyIORAzXMARbYIw3IOCtFV92Upp+CIFQrOX5L1iIhbllHkNNZ896hTGYaZz9E4yzM++h4Y7eUwxluG8BXhAhgSTDfe96i3HONJrnYXxd06rcO6rHd5FRUyAM5Fwc8s55/5hDeULsvwubScZsvTB3EACuO7cFFPdCQKL5w+ClMVN+P1wphvTfgoDeIgfr77HMNF3jDRm6usERlNMxTWPD5Lv7REvXGmCWNcNN2QYiKmGS+c3ni9z3qfTY964c230jBhMVIAABAASURBVL4aMoiPeETkhfJSzoulFo1M5eHnYjB4JMq8UTjLkC7jpCf6Lo+M0/scjRfWZ/NH4YXRR9OM991Q2Kj33Xy14jXkmfjPc1V+eRXKN/xsvXkqwIqvtEuLPkqHcaYZJ82+mxZ9Nj5S/uGucb7rozA+632P+ihchepX6VG8XMG2fH20/GUWBt2L1MOEszGANUajsJYlbZZTJj16Eo2L4mvou/WUlOsk4QGLmKb3XR/AkOCz3jTj9D4bR/JquTJWtKVf3C3PsvUVCy2GzvnKBpHiThA48/huvhi9VcqL0miZ4hyFt4BonPkty3dD3/W+R715jTPfP/rQgP9HFoUAIQdCDoQcCDkQciDkQMiBkAMhB+KHA1UM+PhBLMQk5EDIgZADIQdCDoQcCDkQciDkQMiBJTkQGvBL8iSMCTkQcmBVOBDmCTkQciDkQMiBkAMhB2qFA6EBXytsDisJORByIORAyIGQAyEHlsWBMD7kQMiBleNAYkJCgpfUN9p5551bxqMvLS1tjhfHJPBrjo9LPBsiXmVlZU4AE1u3bp3Z0OhftGhRY+VSHjQ02qU3ISHBK7IixcXFib43VK+6RQ4aN1T6V5TuwsJCr6uMwCv1eKjDlzPeJiYmemUdXSyhbEX521Dh0D/e6+0P8qTBgxb4Bidb6CB/E4MgEmmo9AfE868h0K9+wO4IPnTVAGtKxLEFBQWP4B+OM/8ICv8eNJm/znhCUVFRDeJYEG+0xz0+CNHutE0/BudH40xuapx3qampj9BveqIzjmxotEsvdF+Fb5qcnHyP7w3Qq4segQcbIQeHQb/vNS531FMn66C/eP9+FvrimLpKQ23hjUz9B78RvLq0tuqso/U8UlJSchfj0Ob4k6GhQfZB5OQR6Pd3D/aEB+qHBsUH+sp/oX/zpKSk48rplwf11tPe/hbFJow7KYkQ7q9IfQvxL5DwUjx5EHwR/F6hgSbxPJLnIfGEX0PGhTZ5Ae+vi02lbV7CN5i2kVYmlq9Bv9cc/hiPfacmZVP6of0DfCH1vE0Y3BXMc1zpj5rEBx68WN7u06H/x8TExAbHgxXlL7waAo/8IZMFhN+X863ByMqK8kk4eUU4DD5NJ/yMMO7GZfCKi7aDVy/Cn1fBZwrhV77zHBe41SYe0P4yttFfhP4Y1QsNjQ/Q/Rr8ngoPvLe9XvcX2lZdOgxap+NLXIHXgP/6gw8+eGH48OHPxZP/8MMPn6dhXqWB/sJg+rJ///7PxxN+DRmXESNGvIgw+YuDk1u2bPmcbdVQ+CGtTZs2dfCYTSf6jr7zYkOhXTqlnz75Lj6fXbGhyELc6Q7xrEkvD2j3F1gBVJF+53tN1leXy5Y37NS8jC731zm/gW8Nqr+sTNvJK3TK6/StaYQf0rdCXi3DLpFXTAZfg0/+kvAnvq8Mr+MJdnVwgX4XD/6gf41WXhoaH+gr6pZJ8OEb6V8dXsZ7XtsWOl+nrZ2wlGrAe34sASZ4pibuPIq/DGQTQDrxqqvctY/EHY7xyrtawCuBiVXCuHHjlKMG1S6LFi2S5gQmMXHbd2qy/emP0h2hf8qHBtX2FflK+/t9ToOlvyIvlvdcWFionETgl3IT8iuy7HFMnQovg+8FCENeLYdX6J/APkCuAvlqoPyC7Ij9St8Q5SWwYRmTlIF6T7/6AVpt64gE2/ihb9AcCIkPORByIORAyIGQAyEHQg6EHKgrHAgN+LrSUiGeIQdCDoQciEcOhDiFHAg5EHIg5ECtcyA04Gud5WGFIQdCDoQcCDkQciDkQMiBkAMhB1adA9VtwCd17NixdZs2bXr27t270aqjteI5qatJ+/btd2/dunU/clU3PRQZuMQWLVo069Chw6bUtwv1bU7Yvm3btmuTGpxFIlyaS2zXrt36wO3XtWvXFksDWNW4fv36pVD2Wvj1W7Vq1YlykvCBIy4DfqwDnn1ojy564g4Bj3YBQBz8y8rKSgWfDfA74cVrWW2XWI7/IGjoDurJ+MDRBk2I24L8OwlDZLSMJNqqG/EbkL4+vi/p6/bo0cO7y5PgS1bFNMrp2blz5zTyrymXIg7g9K+WLVt2BolYW/JcyUFHa2jbTprK6TE9gfe2eGnV9+W5LzwO7kgGwPQM6O6TmZnZivc64aBBmvrCmx7QkloB6RR40E16lHPgvDe7QnKdekxozp+00P4bSI99GwqSeV8bvxNxHXiPyjaPkWTi1qlmuhM6d+7ckjJ3hLf9O3XqpJzEdBtyl078puA5sGnTpi1BIpbGc9w66MkA93XBfT14llkB0QTeO0KPOnJdmiDaVyqANKxHxzj40Vt+oYeaVqDe3/roQFof+djQeIWcZMoT6O/tcwW+RNBNRLcP+FKFZxXB6utzIvpJHRWMs927d28GoQnKEfFb4zfkvZIdKP/gmdcvx8ZxYOqKS4CmtdEpfaGjkk6W5nIZ6YPudAyvFfoqDgqry8QECOhUWlp6TVJS0uWTJ09usroFrkj+xMTEtcrKys4n3B746qSH4gLnpGTrxo0bX1JSUtKPeoqorx3hqfibAohl/ENQ00naE7gzCgoKqtWAHzlyZFlxcbFGzXHJyclPU9dW1BXQD//LiNuKtrgQnJMJtyDt/xISEtoSrnGHnKTn5eUdAZ47glMq/jQ6RW8QW8IooMOsDw0nwsNm8P1k4PYHLskJEXFn8Hw6+W2bhxlcNuY9QgdaG5pvIP42/I34e3j/z/z581uibbtQzu3EBWmRSOQO8LixsLCwo3nXgE+Gpp2h5UDwSGzUqNFZ4NgfPBLwlRzxWdBxBV4FsUdOTs4RACQyoMqbc3m+C7puJLwNGp9YuHDhBjw7yGQQfyD5Xk1LS+tlXF3w8KMUvDcjfJT+c1SFRYEyZEKarye9e0pKSmldoCeKo3Q0a9ZMfZDIxATV0vgo2use0u9BDo6dM2dOEv15S57Pgb506D+Ttu9Kus5BpA9x22ZkZKz0IEE5bSikar4E6lu7qKjo/6jzaOTkJp5vZZBqD2xEwwR+n8iz+q9ZamrqGfRLJ9NExbeDT8pKL/h7H8/XS0sUY2gtgdaj0KN7wWc/fosmNciQMaMEPnXH34UeulSjpJwRRJV55fS58Gtn5KJO9bdyGlYrQP41Oh+DRzczvji5DcqDT8kw5zDSt0O+6j1f7D+0fzAR5nk9mHAf/m78tQsWLOjA2J4GT47mvS996lj0yj48R10j+Lc//a4LEXW1vzmWngodjzFu94GOwPGOCJRsgiz8H/okhchaoS8w+KisOlwZDZcNFeMhohmrNNVR5j+WgeE1ESDvIy8hrHZHI3WDpgtRXH9B35MzZsz4AP8WFb0AnQscgHleqps1a9ZChPhz4IoAqO4GLWagH025z+LXo1NcjGIJjNCpU6cuAt+xKJTfwdX7YUeDh/cK1wiPqH+lHAK+ITzZnXAYK8LBdYQUcDArgE5IeIy5JOAuxi+YNm3aMOjxerVLUSAaG2tB82/EXQKtGjoEpSeQ04HGFdnnibiAvBcR9zh+FO24CPgOxD1F2vmEpj1EOAlcZgFT6w4F15pKNcR/gUZ58TX4HE+8uxIkxVwKOF9EWho7Li9Dy7s8n4Yh1Tc9Pd3Vsq9o4wuJu4jwLnjzA0plgrmbNWvmpHMi8RmkL3N1X9h48sjxbPB5A58D3hci7//iWVcMLX/yMB7r92cWC/J4rhMOA7rP3LlzDwXv7dlBSWGS1QVa7JcX0WbnIp/3jR8/Xvp2hKA8JiefEHbDB4MFg2Ym8JvBj2/HjRuXTfwKO/rNOuRV1irlYUKRQnx36n8Fw/18nq/leQNwCSaS6L1tiNuG9zeQu/dIs3/tTb5Kq2uVCo2TF2RIXehvFowCpaOg5UxCd+LKZs6cOQNa1KF/zJs3zzvqSVpJV4/AGa9y0TEjkK2fIOtoZPQ4Ql0Zfc+71seSNnrs2LErJXcWUJf97Nmzcxyn4I065xDGipOwC+wDERZEZsGTX/Gj5F9dpnN5uKO32uB3Z0w5HN9V+tEH+9J/biR08egyZOQv7LFm6Ir++J/gyS+Ex1BusGDAmLYDccnotC+IU+cR1CmnzvgFGt4G6/Wg7WZoChY5ytv+Z9ImldtctUJfdRrwEQae+TTuVIirNUd9rhoUV6yQgaoDAnYwK7LHN2/evJtpPHdjdrgX8Tt269atA4zfluc98FsQn44htKEC2qtXr2B2aR49AnooXgPpvQqGQgmN9Csd+m4G4EA4hV2Kd/VH3GIzcwc96hlIfScamgccMjp06NCfcC+M8HUwZHuQthswO/Peiuc2pO8CnkusniIwGi/PIkytGFyvp7ygTXmXL6Z5dZvPxcAmUcdBlPdvvCtxgNe6S6bDbwFPizEWZjEYFMLHMfitea/Ee9qoO7ADwPAHfDEw30FDGnHb8TwGfgxjgJ5I5/mB9y9IawlcKbz6hfZ5k/jvCX8jXqN+JIP0QhTudwzcr5P2A2k/A98DXv2AUZXDc607aLFNu4GjE61SeODguVZ5fAwfaO0Az3aBzk9GjRpVSFs7mNimB8KDKdA0bPr06V+X07SI8sYx0MyxAHhcAI3TeA7kgbDOuPz8fCcfToJtq3uQ28CQLScgDz7F+hZ9xWNjRyPjh9J3qk6AyrOskcAjP5uC16W034FgMIF2Hk67FNEuJ/F+MuH2tNdvTOKcdNmH04krZJfFiX8i+TQ6Ixig/0IO5tHeGqSmkb2yQ1bSqcsjZ8fDr90GDBiQTFwX8t2DXOxL3DZMBNRpQUbkyb71BXV/irEyjUHYScNf1N/SBQrybAPgAtoiG/nKAxfvnN4+Nzc3Q30Gr3eivkPw6tPAsAE+rhw0+JsV7sqdCb4HgVywwwUt/hiZCyxERSIeA4A/B0DLsYRZQWQD+odx5a7X75DsDyieBw+UV14jXtWXj0zEeEVaG/h0KP4YePpPx0mDMurqv7Fjx/p7OX8iR3fDg2Pxu0JLIv2xjH5lP44ZbPCjLbwZzDh0YjlfAK2bDlvEY3WHQrcT37boqNfRHX/wvjW690TCY/GZ6AX1UQFUeuV3CjwpxvuunvF0Ri/gN6W/PV/BjgK8zrkyaPAHHB8F8z7QeDvtHeg8dLp9J5/4mEMOBiIH6mFPiLgyH0vzYXV94uoWUDU/jVntZVatY3nvdhiYeg4wM2F0hFWEYTBwO5hbhNFzNvGX0fnmIUyuVj8FbHMMoAJCDan+Y8aMqdgAHj/ZjXwzGdQCY4j8UVemEYjPjUasQJjCLPVcyutLfRqtV9P415Tn8wjJ03SQxuCqwX0mOB6AALja4crpjuRbQgDkN3T+QhmWsyP0X87KXjDYExd13pWbCN1H4XchzyUk3MrkptbPfWJINALfLPCYx2Dh5EbccnhvA92V8GZy5jZcAqErsRGUSSF4Z5sfhbFw5MiRwWCikUG8R7aGEkbK4wOFyjZwOnEOLuMIi1XEhEEauGgkbQQ/viVuqcYQ8TXqqNtVUelYWF6RE4kkaHQ67RpWAAAQAElEQVRlPjAyjEcu3HbMgGca4hoai4ifC9/WJdSItYyIBhVxvZAvV4SEITlwsbKCtzryD/6Idzbh/4GyP9jyKO0WPU5CVOAS6Se7wqNTod0JUHfC+xloPGoUAKyJf7YF/XtLcDuH9twZHN7H8L6SidZwJpMLMKxppkRXdPwFwVN4eRPabGfl/Ev6eycmnOopdcxYylFH9IHOdyhbPbuEPrDvk+6kYCv6zTfUec3o0aOPRJeUwJMC8HAAKuRdmSE5cKUY7spdEJeamtoMuFx4/ilGuqvzXXnOJt7+WsrzPHJ1yMvLa4w+OwK8/QbHCeixlOskmuS4c4ng9hA8fZTwHMaEbcFQ2SJY7NAvnViQuZ23hdAvn15nEWEJONLrtYP2Etr0QUL16V3lPFDeYvxCFvsgBzchU1OAixA+AE/9Dq3e8gYaG+MfgcAXof1SeOAREl7/dvZfYM6DfwuQtVyeX2FM3gmIGO94jneXKB3gfWRBQYE71e7a3oXeeoyFrslM+Auhbz48eAJC1sI/ip5zpd2xXV31K7SrxzYl7TUWVFPRSQPgxUvYS3nqKOKVJ4K4dB6b1m6ousMoHxLQH47Pn0PjCdC0AxScXk4Tj4sd/HMR5Vre7Ce/w6vz4OdZvFsGQfW4eGbiylIYGGAwVCa5UvQRRt5DFPINCuakJk2aaMx4NrjDokWLOsH8j0mbT9gH5nuOzVWuB4kLDCHCCEKpQelKdS6Gk4OX0avsKW87GnJ/JhWv0BlGUJANfAL4bQze/gT0WOK2AO/xvDuAr8sA6TGSTPJ9wjaeP5UMSCWXQGdKpLy3Keca8h3Pqt1hwFdtWycj7wF3LHCnU8Im6enpfQlr1cFvUExoDH4qgaDNRIDIRAyESkoO2HTg3MWItQm0uuJRsRMkoGT6kH8+qyEebbK4mKeztSPNXRIN+Fi8DyiVbSl/Pvwe4/ua8NDjxKMAY0ujzYEw4AnxFWk03uNFifAk2OpHFoTTKJO2GN+mTJmSQft2AU56A4Ns2XTFfwptJ52wJ3kez57DToa2y5jstQD7gD4GiPa0o2e332EV+Tv66mOkpRMeSbjGHH23M3idSnukEr5Bm7mTJD0BTiNGjCimPz6G/P2b9INo8xRo89fqkpo2bfomQB6P6038fyljNjB7kf4Mct4Rg3s3DKt9oN2PqQBd7Fgld7dpDrDD8XPx/kJh70mTJrkz+hdlzWIS8SUDqQPt4kyV/zs4+e3El/BvLPWpR9SDeTRCFHeKLTPenJvxb338TNrnBvCsuABCdNy4AF/4cyM4Omm6GAOsG/yI6pYkZOpyaCigTd6GP4/x/A3+RiaClXYG44aiGkKExpUXEdr/Unj1GTy6Cl6tCy+ChQ8mOmnAeLzmD3j1EXDPg8o4YC8lVB8R1Evn6jJsSPgv/9yluNM+Dn8C3S3F9JeT4E0pi4LD6WfPEPcBsKfAPxdkeI1/h52SRl/wu5B/MX5+CsbvoqOCRTSeA0e7f0PcZfSnPaDvYSKPRxdlYeC7EKDd5Y88jmCMvZ8y/AZvBrBT0Vk7syiwJ/zQuI9HWfHygC2R5aMwuA8Ez83xbVgkTCV0gpoGvS46pqEj3gfuCtr/IGjaG/slZiMiB07adkR3PAivPgLOyc7Z8NZFGNhVPS5QatVT1JotBQaV9uvXzw62PQx21TpQNmD1Hr4bKyttEKQPeZ5F+kAGo86EX+L3w+Bdh3j6XdkMwphDQN0CmkkDNcXorjobi8H90wN12OCWvx3PjTMyMsQv0qVLl094dwu3Dx3eQddty0O7devWnvj5+K6LFi1y66UtOExm9TimKKrUqQFXxqD/KJU4CTkd+G3JH+WBfClGqNyeL8UAcACbDs/8MKdKUTX7yoqiuwsLwLMx9Yu3vzjo+e6F7HLEOoBYgL/t4QRFAyKyYMECjRNXQeabrqdj+THjBtD7P7bmYvGm6Wlzz/F6Lq3qDoo7ErsA4/nY6CDOa+06eCCNGqWBMgNfaZUvGlhRgylC27nqKX+C7TpkIQUeavy7nRcYsmKOnHalzDJ4aVsbVW88ivBXiPF7hw0wGhwok5CRMp47wou1kYGgjZGD6cA5wHr0g8c149AftsGV4PgZ+G2bnZ19NIPCVijxoA0rYFUE7FfA3Ijvx0CYTvsWYAC8A82v0p6joW0Q5XyBHMxkcD2WvE14740ec7cxpsehPR9+fEiacqBhbVogR5Rt/0kcPHiwcRSxpMM48yPGjpT7JmVptNtfsymvMYOxcsljgpPJhciqaU9QrrdNPExCr3XXXVc5XbLgOImhDeaB782g4wrb/8Hb5uBdwk6dfcmjefZHkiPq7Hfg+9oMzO6CGNegPIsBc5A3jXK/yTgHvvn9RSmGmJPn3klJSfazCGPXInj4PX6TTp06eRNJveUTPEhkkWACcnMdRHre+xb6RXvkRN1MVGQgMO6mBu/w5H28E/l4OtInnsv06KJF2AjP079vg077x8Horb3RS0v0A8bkeegj7Y7J8MAjZ2XkH4fuGop/BV3UCn70oJyvGJu2BeZ4nh3/j8O4rbT4sEyEajEBe6IJdLcFZ+V5Pri6yHcCu42utmsnBu0KSupCj5U9zfP/8GchB5vS1toS2lt+51fkbgVpwv1EmraMutKoavHLVOTVUnotFoJgJIwcOdKBSgYrGMEKJg3gimUeApmnogHO1YJ9UEz9aCSVU0vCo2i0Kcyoqp4RLiZ+GIzPwiBaYjtegfY2lBUhkzpsvIWU1RzBVgF61MOzyp4rdNZaRl3O0rJYUT4UOLe/3yY8F98FOiZRj/QRLN056EOnt1mMBOI86qykTOlMQXsjjAqUZQUKGNhac+PHjy8Er1H4FnRoJ0UekWkFjRNRBJX4Dz882+5HaG7RR2gDV+Tdovc8dIAzg8ne8Mazwz8S4SQuhTDqNNK3Jl1+RCczQRpbXJbZCUPFCV4Qtyb+wQe/pUAsE4ObDXhQHvOQT1dMYyjBKweNGdASbNvCq0xgXdX5PAbEA3wcQJkT5s+fr9wTU78cBu1n8OBe6Dwc+m3bAnhVxLOy3b6cWg3LPGAqrRqVp9VmUDJz5sw/GdCGg+NTSUlJ34Knk/gLkT8nF8GkLYoQdPmh8ZjmzZtXnKi7yxKc+yfvN8irK0DrUVYAS1tvjw6K9XN0UhPK8WYmd7n8INFjR/LGahx0ynr37m3f972SZ5Buh1ztDt/eQ1eaL8Jig99ZjKbM1iwm2LfE2QWGsQxYThacKJ0Abl9R2C2jR492Usxj3LkozcGHaGB3JbzbBbzlVRkLCw68GqLBN1Oku7DgMYES9LH62agG4Wn/KK8irDB7QcQN8Goz4o8kzEf2NOhdEIrdRES8Z8SzGWM0Xusrn5zUBbyhXzsGnQLdWyFD7mrbN6S7gH8d2NV3bPP7Mxfr8uk/8bozBbpLuDInb+iA79mlf5n2fgUaPdd+ZocOHfyAt9JtdqQ7wf8dGivq2+h4exDp37Jj6IKhH7F6HFLedcRWicnPEhisoQjsE220d9DZX+Hfon0fBP+nkP0P0I0eKdN+CfSoKGIz5mKXeMvdVOBuAj7a7spBe3Rt8I7+zydNOVAezFotPqrYq6UwCkmioS3T7RNDomrMBQXDGI20ZBicCrM85+i59k1atWrVk0EyHXyc8YxAIANjFXhnS92Ab0wDTSJ9KIzfgkaYSYFRoeNxsSNeo3ouMMeyutDZMl1BQ5DXYzDdBqHN570v2ysHMHhW3Wq1oV31aky9bo8rAK6A70yeDMrbiFrE4TNCVzI00h109wB+Kri5FbUZdYir+AlW0Vu2fE4jMpiwsGomrrfw/iv5Y/ggPMkIYBPxR8m6HWq9ThIArVVXCi+/ATfPmLaBBxqsftH9NrP5nGbNmrWAN3vAzzYokNm0kxOuzYjLAP/dwfRH2uQz3/EXQVcn6MnjeVPa5CTo91sGwCJen7gB6V5r5dGFIK78XwJlbcnzn8hFsGrL8xpx4OFxKSc03Vn9dGt6K2j+Fpp+ZxBoDB8OhK5u4gnPnoF3g9iGbAJdGyMXszCwhlRA3JXRzYDTmAoGmvI0VwSUleCoGHHKDEHcuwQmLirANGhyZ0KEi+l3L0P/K/huDAIlGJJ/wYsfSTyUVZ2myII7Vq6ovkBcPLgStpazWbkbyQTkVgzCF8G3GfoCm7mtv2HQmn7Zmrb1WtX/OhGPIk28Ezu3br+gPyyCD55B9yNm29oV0Xzod7AIsiA7HqFSL5VQnvLkNbtNlRkAPEbY7KGHHuokn3hXPxFEEpAzV8+u5mU6uqc5uPUn7hR43Yg6P8WnIZOtQdgJ9Frg/zaD8kLqPp48fmt0FXHf0Cax/md8PHj6iJMOJz7yTJpLaQePMHp7Rkt4lipvwdXVtEH0t/Xgu2OHOuIljNjguxPS671jQUReebVvRV59TLveA5/U1YmMmx7N+pR3P/ZtS39zR8lFs+cwgOqSobqi7anM+C1IGvKuPlJ/liFDyvvpFOI4Kw94jDxNX1mPnZ511efod1diP2Vcc2w3vU5525O+MQlaX6S9r0Y3eJtdN/qIH+V3Z+fKxQN3+rz1ruJRVK9HPpA809F7wTdmPPvNViZ6KZAteBmPE+Mi6FVPOn6WaqDzPhH6f0Xfia9HrRtBS2PG58DmQj9Moc2voGFdAPC7QvMOh06/edxfXYLu9Lu0X1ko8Og2oNXjFMTqKYlSUPptUeJtIGY6Hd4PzQICSaoxB2Mc4GRcYwbJZqwuPwYO38C8AxG2vah4EaFfDLsy78rzDHB7jHRvWnDV5WUE6SUMgWDFCfhKjkabziB2NmWW0RkvAvZw8u/He0/iP8BgtNzNifs/yty8YuasrKzGwMiHyZTfFmEYBy6ujPdDALyXexDl/B8C7lZ7NOuzlDUEJTmpV69eP/LsWczAwI8CREMG2FaUvwFltWKAdgAO2hOBG0O+6/DBmXnqnk6bvA7sodAwGPh1eP8vcB6/iBZXayH0umr3CLzYBX56Xd5YcPKKyGJw9UaWf5MW7HiQ7o6CeO4Nr7xJ43zaORdee7Xd1iC9ETB+lHsR6RshD97OQnQkAsxGPLxHG1Va2e/Xr18y9bWAB14HBciac/PmzcsGjwdpq/YYdk5QnIzdTdss4t3tR4+KBCuwrIbcD6ZfQtcB4K9CuGDcuHGxlXaMMo8/TGV1qKIijaBANF7k3U/IQBaDiUqXouLbMSFPgdZ14E0LJm3Kd7DKJW9o89vA/mloTUYe5OGtvC+EvhPhze7k+ZTn4cQtw62x6FLa/BcGhLegrTFtfya4Xo7sDib8jvhKONMPXOEbC51+JBpp0qSJK1heremH4GuT70H5EaWGCc8CyhwqD8jrjTWfUY9860DcS8B59/meyJKGmgNNVD52Id0+tzfhpeTxyERjJhPZ4PQjZb1Iuf8izVW0r9Ej71OWR7c0XA5B75omz18kPp6c57mz4G1zZGYTxigndgF+6NjniPdMfNCH4OUj1iV8lgAAEABJREFUeK+Y9W74faHVaxVvBFg6Ceq9czfUjxKdAHdmTLFtJdpFl2fg1a3IgOOduzIem/gfcY5n3u09A92rfhK+XnnHCyYpLnolQWPfFi1aaLAHNDJe+d2VMuQY5VFHJ+f24f2Qtz3RQfbx++lHsUl2kLEO/qO/LEQPvYYM/AptO9A/boYffguxFu9vmx4li362Ns/toT+2iAKsV2/Poo/5LaDf+MXGamDrhEMOtDc9etyNHcnYsSh0pFeJnk1/cOxN4P1bdOQl8Go36FW3O45dy4RoiWO+q0N4YPCtTgEV86L0HUifo2GvobEccGpc8cGcWdR7G/6x1NTUnPn8wbibYNxLCJVHMB7FCI+toPDsqtHDbFN7ntbB60fgHmcQrGTkVaCrbNKkSb9gQPixgh+TfUsjaUS9j2Fopy2G1teI84dCKnVSGsurEj8ANxvSa5ac0b0Cf9xq+QY8n8Oo9yORWHXM0D6FpqeIKPIjNxTEtXQMhYKoyg4aPYfqvcwPM8C6Qh8MyEKRZwR4BYMpeHi9533QeT91f0/5L2NEfwdcjbcPdSzNlSDg74L/a+A4Enye5z24hx0DZAw4nk/otW9u4U7FOHgC+r6Fjw8BZ7u5lTmS/Kfhvbf6AirxbLQ/IBZrR+h9Fx5rtJD8txs5cqSrmK+zMvf137Fr7KmMtlBOvdngZ1bAHqLt7DsR5G4mCvAkZC+QEY115QxeeIzkReCq4j8ZXt4BJZXkENn2KkaPb5wKT95jAIrxCNi4daNGjXJ1/Q94cDft7C5KbIfMVQ9k5BZWulwViSgXyIdy8C48+Bi5epX+Gdd00n4TaM8zwPch2uU13h34K7UH6eoNJ/BBX9UQIO5l+oh3KT/FgBr08WgmaaYs9dT/ISfDKPsOeHc5emY85Ssv/ijai8DFzqojH4XkeQ3+eZ3lxcDbp84k70Pl5RaQfyjv/vaAZ1lfRM1GB6K7iddoGU07PURZ8bbSqPE5AdzuhR/fsoNQqW+gb/0dCPkSgcZcZMofB3sS+JHojoeIC3Zuy/lQ3wN/y2UScqA8fooBHzvKRbu6KnkXsqf+jSB3Hufzo18nPF/BqxeQKcfDescjxwv0iausN9JPPmN3Pz9STiU052F3PM/EOuAL9oW/WXE7PHwenvyEPn8E/V5xga48Z90NlAX6if3mSvrJG/T/YerjihRBv9+aVLoyEl79gW65gTzeD/8ACxnVepykYv019Ywc5OBfh77nGZdjOtT6GIP+B1+03bTDvNnrWXSOR/U8wvtyuf4VtNp8tRrwILiQxp2knzhxosRJSLUhu7SCULC51odwTBk/fnywfeeKHMwchVD9ZnqVfKWmYxwEyonOWYQguQKzXFyFoUy3Ub6jzD+oU4Vm0R7H8KOvP2ksr4MzLuqL6dDTgJ0Efio36/AO+b/g1S+mRQGjoTQQHxglxpXnc6fA10qechdNmTJlMuEkaSLR8gkCV1zeBsHL5MmT8+QHivcnvB9qBQZBkLhm/pWo2MBrLPzMjaLAex68GWdYHleGkTYXnvwOndEzdtEzehMtg3bROPmLMJgElOeLkGdqOV+iUdGwhDqnawxFI9Zw6MRuOviOqWAYiVLxlClTfq9IA7xZCO5/4DUsKrWhcJRR6ey8heD9SHIm/JtkujJGXF1wniGfAd5uYdq2legtl+9Y3wBuNrL9I/7PCvITz3SW0p7j8FFdUIk+EZcW6IrqGqOU6xzzIO8aDYEeCxLK/9HGOcjHH+VhoB9Jkk9+YPYX5dmPKukK4KcTL5/HU27giYv1S/NTpx+nVeItcTOBUx7/gOfqOEDjypUpJ9IGP6ZG9X4UQ/sCNMTObUNDHvSPAv434GN6OApf30PonwvtE6F9WlVeySd9lAe0ey7vPwM7Bl+feVVSkS9Vxw1lSF+RL4xLox1vtRui8fUplB+0/S/IyhjloCptpKG6ZmpnVEqib40nj7/BUmnBsRJQHL9Adx5j8mT9UmS+RF1TEX2Y4DdQv8CjJcbrinCr+lytBvyqIlHH8/nx6TiEcjhCGxsIapimsPiQAyEHGjYHKhrgDZsTIfUhB0IO1CUOhLqrmlorMODZjo17hsYxjmUY766QeTawmpolLKYOcSDu+04d4mWIaq1woPYrYcs57CcryfY4HvNWkpIQPORAyIHq5EBUNwQGPAXHtXItKyvzzLLnX+MaT/jYoFwZfwhS6ciRI22bBkV7cXGxNMOBsiWOPTQERiQmJkbpbtAT10AASktDvfQPQl9cvLi/AGa/IQjdsjiQnJzseKdMNei+tSz+VI13DCrlj3h5RtCwXJs2bUrhgdfN1k7fijP20l8CNcwiQYPoL9Ab1Q9eU5qYQeMfOGDAgFu333772+LN0y+vQV76YTAcPHDgwLjEMd54Vhv4DBo06BZ6TX9kZ/2G1i72Fei+Hvq9YWif/v3731IbPI+XOqQf2s+gXzaBD5chCw22X8IDr03cJ17aJh7xUF4YXK9FVvzBrQN4b1D9ZWXbhL51OXK1Lv4E+lbIq+XYJUVFRVfBr77I1pEry+f6Aj9r1iwvxfA3MQY2RHkpLi6+lr6yPnJwQEOgHzrVD/6ia7J3Q7sK73U4PWBC3HmQ9bJ/770WR68mijsc45FvNY0TE6setI0/SOUEsAcKtLbaJl7aX3q9ntFrU+MFp9rEowsy5jWxWcoCz7VZd9zURR9Ih3Z/UCtucAKfuMMF/aAe9y7/kFeRyDLbBz6pV7wiVLnyly+XCRuP7VzbONH/vDrXq0Hb13bd8VCf8sLipjLi1cDeQe5zg/HSj++O10ZsEw9tUpM4QKf6wateM5D9BI13bxq4j0q9W3p/AOLK5+fnHwlun4LsfdnZ2d5hHlf4xRu/agsftu0OYFVtGG3zNQbcgYRxKT81wQ9pZeXncMr+Hbl8TF7w3GDkUvqh92LCbPhwCvQ3GNqhuxKt8OBH4vythkrxxIXvCQkBD+DRAXl5eUfTV8bz/AjysgZ1xWKc4rV94I+8OZHQq2Wvb9Wqle8BH+MV5zWJF6uvR8Mrf1Dp9jWJx5qqG9oPSE5OPpj6vU56WEOTF+lnAqON+BU8eLi+0y+90HkC4XeERa7Ao1fLSr1zPB59RkZGiQiCbHDWOh5xbIg4DRkyxPN2No3nDosbGg8yMzMD+pVLedHQ6GfS5hn4MsKShkh/tL0ZPPxNgrjVn1E813SYlpZmf4k01P6yMvy3TzFAe7tZg+5bK8Kz9PR0z35713/JisDXR5jCwkJtJM9FlzZEXVzCH3pFW6Tm6R8xYo3bOuoH6HX8jbgCH4HyBBRG3DoGybjHMW6ZV8OIKTs5OTlxLT81wQJWnqU56muiijpRZqNGjeRBncA1RHLNccAxds3VXrdqZoAO+hRhMD7XLezXCLYJjkPUHPCNsCE6adc3RNoD+7BcBuo9/eiFqLwvNuDrPcUhgSEH6gcHQipCDoQcCDkQciDkQMiBkAOhAR/KQMiBkAMhB0IOhByo/xwIKQw5EHKgPnGgurfoktq1a9e9TZs2fhFe3WXXCt+7d+/erG3bthvivfVmWXUmdOrUqVX79u37QGuPjh07pnfu3DltwIABycvKQHxi165dW1DuVublvTpdInzPABe/xvdmkIplJxnfunXrzKysrFR8c/DdGO9tEBXhav0ZnNuCVy9wSl1e5cBJW8+WLVs2XQZcAm3RBpq8uaESCGU379Gjh7dfVIxPAT6LduhcMXJNPisbHTp0WG9pNFTBKxl+dAd/v7ivuGWaBK2pymHUky8mj8qA5Tfnj/g64Xr37t2oRYsWzQyrIJwgn+BDBvKTSVpVmSeqXrtk+4LtXJVKZV2e2N6kxdqf53rhoAvRb58lnRUJsv/Aj55L0cGBriafurFiltV9TkH+1qLOThRUdaxLpA06ouu9MYLkuuHknf0NmtLAuBJN8lse6klLwTckt9z+Jk/0MKTe9TdoWqYrH296MI62qgKUjH7uSkd1jKqSFEmGV+2JrJM6mz6/rDFHupqYXt5/Ko7NkFszrlInXZ0qaLDWKKy7KeO1hISE/9FIfhnciPeYqwsPixYt2gk8H0hMTNyUcIlGUJHRSIcUFxdfBp3bJSUl7VRaWnphYWHhVaNHj25JnqU68qTl5+cfQ7mPk7fnUoFWMdKywWUAZT9HGzyKAMXw4LkZOJ6Ivz0vL28jcNirpKTkHnDus4rVVUs25GM7Cjo7OTl5p4KCgpOXogRIjkQ0VMrKyk6Bvr1TUlKuZmBcJ0io8A/DdF1g7savF41WeeBPoz2fnzdvntcuBUkqHXj0b+h/kHb4SJjBgwevUWVC31kXPE8H/0HgdCU0L2tikQS+Z0HIwcCeBd0b86xLgZ8X0L4j4eUPRUVF3+E/Ry62N5HyuyIbZ5JnUKNGjS4lfn3j493PnDlzLfC9aO7cua9Da3/wDfojbdgYPik/zyPXB2K8LWtiR5b655DfVvSFf9PGI5CHUytSmJOT0xOeXEN/OY++v7xFiIrZ6sJzAnJ7LHS9BbLvZGdn366xyXMEfqyN/j0efuwyZsyYi6A7zXg9fSkTWdkbOfKKPaNW21N+S3D5P3B5mTqHU/9ZvGeUF5xEfxtEGxxFnzuAtHMdM8rT4jr49ddfW8OnoxgfhkLDwSAbNUiTFixYsB70PIS/mDQNMJIbhuvWrVsbxqnjaOsRtPNxFalG565LW98MX85EB6/xRbGKuNXkM3zozpj1FDx5DXl5Cz20O/U5jrrAtDvj60G8X9GlS5e+hDFHfxgIrzaPRdStB8efHZCFx6H/dmwRF48CCnhugxychE54Al20EYtOtTLJrS4DPgUluSuU/ELDHQUR/6ORrsYoixlUpNUV9xH4z8bYiSqvingnZWdnn0bEodB577Rp0+6fPn36/cAPw/ujPstc5ZkxY8ZCyhxKvsY0tIJOMdXjLBs83qR8DZr96VTnI2DBgDJ58uS5xH+G/5ZB/0c627vUugg81tjkCkXnvfFngsML4PM4uHUC5wPAqyrPE8D5dGSpDR3kLnj8Hby7FwMuNhhLJ2WYdzvKi3UaOllw6wV5N+I5Fr9w4cLO1CdPTiF8nDovHTFixAaEa8RhYDSl75wGnn/RhsrSNGg+l0EyvQpCrjqfDI2D0tLSbgf3j6H7DnmBUtRAV5l4ldqF8Olm8k4gnIaxkUaeY4AvoK6HiPNK1vMoP+4Hm9mzZ4+Bjv+As/3qGox4+1hk/Pjx+RgaH5M2BV68OXHixHk8NxjHxGYG7Xof7ToBubmKttwb4gOdgi4YA78+R4Y+oe9PJb6uumBXkf69FvRtg4GwGbT2gOYTkOWroHGnxo0be52adO9EXCY0P0yf2AddsnU50Un0/b2AnT6Fv/K4FQoyMzNbI2+7LAU4iTo0QGZS7nHUez94+aNmOwCbQJ7O4HgS8SPozzeRNoAxY7Bp+Lh2s2bNmg7uj4LkeMJr4X0/nnUlpP0ATb8R/8nUqVMnGdlQ/FHrHO8AABAASURBVIQJE6alp6ffB/0LaM8bGL+UC+UukpaW9ht8+JL4j+HRdJ7rq0tpzh+0b8d4swG8+Bfy/wp9QXvvZ4i+ulUrDyW097dhvO77S2RlAgtKXjes4RuhD2fBp+3op58CH4zPhHXJlc2YMeMNaH8ZOg7HFjkdQz2woxirphH/P3gyBf38xahRowprg7BqMeAZTJJprK9B/GGE+HsQfxBC/kKRxlY+iasRh5LJQGl205DByFsHAduIMNPVGeI34dlfSowZhghRG/L0ZVCoGB8cwSCtN3h3oyGKQNbrEQn+duTbjEY7G5gnoXNseUoZhvx3NKh36ZdHLT0Axqt/KjUs+HW0XvB2VV48A1x4D7amXL0hPYu6Hcg06pKYGHWmE7m6Vqn9wEsF/DmhuwgH9+vXLzBc6WTWuZDBzCvvIK+sCFzcAu5LuevDC8tdOtLVH5sIHluBYwoD8ET4uAj8VAC7IEeVVlLBqxXIHoNsfWWHgPdOUtbNy8tzNVbM/Bp7G8ryJ5S9kz1QFCZMXjxx+Yi8xZQRi0d5TKXO1/FjqXcIaX+CT7551oSn7rXAfyP879RfQrs4gXTgVD6JWuxo85bg6+rP+xqwwH1HSit4MZh+Nhve3I5yeZQ+6A7Yz5T3I7stU1klaUU+V+J/lodMFr4lrStxG5I/7h2rGQUg6T3PLWirm5HXtrxHoFnZn0dcrG2Rl9b4den369F/NPoFrZd+5MiR6qiRtKP+IvSBRqU8iSDzRfBFvgW0w5N00tfGbxjlX5AQn/8SMQQ60YbbQMNhoLgHPgKd85DxWxgov0XOhxD3P+jcEv2YTF9oh0wXpaamRvWrujGBMrYmvgV9bDjwS+hz4nSumLvd3wfeOF4lOHZkZGScQvn7oJM6ARQM0oS6BPD4E7l8Ur1P+Chw34JrDxKTCPfEN0LP2J+9HcP7ufdhl8hFh2R1OTp/HUPg1fcE8ePQyRpWo8HICcp/kB1/EZbXwOVAe0yuoCMTLy190E8eo4j1xQA6rv6tHjLqXEr4Ef8DPLgE2dqI5wQWEpSrPOTTMYioSETdg++BPDm2xv1CSYD0Mv7R/unIah90xx7IxpH0p7XoTwWE79oP6Y8jkfcH8SXwoj3jSwppyvoi+OQCwtrYIcnl8nEAcEMcm5dRXV2I9urkidDxIcieNWfOnNhJE8YkVEFpNvFRl4icdJN/hkQGkz7CanOBwl/d0miQfBpShaWhaHHQVzaDh3H4GnNXXHFFIhzrT+f5j4YMArM7yvxqwjMRpt1A4kCe70P4HNwiKhuEa18Q6kOec2HqITzb4VS+RwLfk/K2A8ZjGg4GJlf0hwGTQB1fVozk2Xtov0lLS1NgeV0xRyffjs5wOHX2oszTwPMYciaC26a830a4BQaZK+nGO5NtRYfy+MB+0OUqU9X2E/YNynueck6nXWKGLu+BcoU2jfhk6NiWOI9tPEA9J6JszEtUzbqsrCwHQydK8zAwNUK8v3Y2tXalDWNb37w7aG8IHzLBebLvzZo1yyGciw+OgMCvDUjfEFpGEKfsBTTyHDjoSiFNBRu8+4/Vo0WExSoUeOi232MMxH8Qt0YctHmUKRFc5pcjMAecU8G90jEa2rQbsB3wAa4YKzk8O8huN2/evAXQJQ+l1cm08vvX/PnznbR1g0etgA3KRwk7ADtIa6xUlZ9yFOIngBcJ0O4PAF0DVh5ru5qdhOhEL9beKkngPBq1NuF+0Hs2/as+G/HqIXkjX9xtuRh6g8kNfNJwDHhjv4YfB8GPzYjfGn46CQr6D+/x5BzkO9OO+6MT9wPP9vhvGBSfQLY/c8KNPrPvR3HORq6/Hjt2bDH0/UVkRm5urv3DPj8Bw3tt8m9FmgZDHulLdYwBe9PX1P3y5A7e+zF2tCTvFviu5O+DvFX8RqcYPP60z1Uo0L4nDt7H7fgxHwN+oengOJlyOkNHe9piV563Im59wuPRZ5nCxJOHXmUqG/xuAK8CeHMXeKsreI0kEB/IFbLWnnY6ETrVXwMx3C5lbOoiUH319CHYUXIFPFBHX4SsRo3zgCfSjaw0hS+H0Mb9gNc2uRm+VFqMES7OvcfVMhhf1RdHIhMuki1gjHoNe+QZ+uPvGO/Ke3TS4rgzDnpnMS7lw59p+LbkUza+w8h112oH0n8hn4t1cU7+8tGjfR03X4Cee/GX0z92JocyEPW8RhLpI+qx3eHF+gjOhby7sGpatXkRqY7CbEC9ZUnE2jx8B+I1asBfddVV1vkHTGxHXQUYhI/z/DJ+T/yfKOKbwEODbSe3OhDA83mfg5C5/T4DAbuVTujZJY3oXNLfo5zXgXFLvhJv/MCHtF54FjUXVZxlAR6JoNTzymfpwXvVf1XfmUw42NxAeR+xPfc26a7UXAY+m/D8PfGupHXOzs7W8PqZ9y4oyUIGgkRoW8CzHSHagcgSOJISSlGqj/HwI3nupbysIKXyv0akTYD+K4Bzy9QjFrWyIouR7izUbTZn6MEkCWVXBB7pGJemxTAlviPxwgSDIQqllDgN9UwmAs1J25M8TxO3gEwOPKbxuHxHR0qHj/664fmUMRgF23H5OWoulfqVA2VU78pylIZ0arUvEUSczLjC5YrdLCOgv5i8ebSjqx0xvjGApBPfA55o6DtBas+7K7KBEcMzWcpK+KcRXEnGLTfePHjKA72r8OeA/6Eo0BPoq/b9AN0WLVo0Q0GeiDxPbdKkyfuEb0L/jvi9AoD6+8+J+CxovwVaNaiuhVQn6E7QeIxE4NNe8GNTdOM78PIp+JeEP0+eBQBx8o9BcFN02kvg2BEF+xxyPBSj/fu5c+dml6MYa29gu0BDI2h+jjRl+V3y/QGdDph3sm0/qrCwcBBxb9PX56I3tiaPZ3Fj/YR8gSOPRvUsdOZQ4NvBy70wMibx/Ct+DGPIx+CQGwD//U+dFLwhi672Z1OOizquznUg3wLGgqANeHZ3z0UXP6Q/Hpw9/vUW8J9SZ1X9HZS5pv+BcxL4TQTXk8DFxYCLmvPHc9QpQ46Zjp3/o91eJiEL3p1NWG+dfEHupkGgdoU7p5fx7DgdtLXP9LcD4N16LOa9Az+eAF7ddA5yWGcWE8A1Axougp7zoPkT/LP0iREY7hOJk1b7op7XiH1qLWA+xo6ZgR20gGePxTppWYSMX09/7gUvMhhzP3N3jb64gwtoZo5HL45M5PfHa4vFUIQv7VkYSIU+J7L50HQb7fsO/lJ0zPqE8iaAh0aP/J1NH3oRHgwl7Xdk4z/AqS8CmOr4V+0DOAajs9LeIK4Crqr4qgPnimWUUY8KfjYMmrpgwYJ5MPVPGLwApk32bCzxE3hPYTVSI98VmWYMZq7kjSLtGpjq1nx/nv9EQBW4+cDbSSvWE33WaHKFc7X5huJ3VtsePP9A2efT4T8Fd8+mH8zANR18XFX2bLfKtJT3nnhXiZpAcxFbshOiSFUNp0yZMgdYP7Jy8HiUQcgV2BIUrYJHUsIi/o0tr2co+WdSpop6temirOU6+G3H1/CM1QW//UVgJ2CxgdFCwDGHNHFWSUSY/bvj4gSmgInAYNLmMlA3J/T4USY87QNfnByYfZkeuhfCk6fg90Hk3RDFcjjAMXx4rjVH/cqvdSdYKYozoJVn205e8Rg4DfxS4IP0cl64mxHEBxCL/zWljEz44gqJMTm8GwblBw8JCdanQV+xfJPiziMD4uhqcymDiEbW5cjqMciyqx6BwqTdHUw3pT1/Z0W2ABnQ+PKIm/0n7mhaBYSWmQV5SGT302M01/O8B/r3XIAT4IW8KSP0PCqqccE85F59/BLpfdA73QjjxoHnr7T1xdDQHEPgcFbt1mGRwxVqZTWGJxPXVODU3xoUwY4ndE1HNh4m3330i2fp232QkbmZmZm/U44fwGvMH8XguWOsoPIHjP3zgf2U/rIr5TYjWnkjiChzCepmXirpJd4Dx8Q/HX3mQsDLtEF0zFBniXPQ36DHY4zF1OHY4XGDe5HdM+D/L+SxPYKy4vEf4+EYcPXY3k4seh2akJBQgi/DOHE8GQjOv2Kw5UGHtH/C+55MvFwY4LF+OtozEVn7Enm9medDmNz5HYbjcyAjtLPHvmYjN/ORy1z49Sx+A3RwpR3VeOYOeOdBhwt7/4NG231H+mJ7F0Gr4k17O2HthA5+Q91Legl98DPsmfvh0/ULFy5Uxrekn3zFYlsHyr0N3wP+nckO1D+O1ZRXqw4jvQl9cx/aax38kcj6neiNfaFfnbM/uqUR7amOSIJP+TxfAo/8NuI80prwrhxos2xPfDF9aLZ9BCI+IK0FtHv5Aq/V41Q01VMSpXgFI0j7le4306ZN8wM0lVi11kE1S3MyzLpMsz5XYw19VxE7kCXDQAeEUQjWMPxzKO0naSTPLTYndHUzuvVsWTaS+QM/YsQIFfBnvGQwUHjkhse/ncrcweXvmOU/UV9j8GnK7DQ4uoKi9FyZRyJU+BHS3qGELIRnIM9uC7/P+8F0BD/WHFt+BpaoSi6GM/yfQCfx1oaW1HUxgqOBG02XPr0rdAqcRqRhpcJq4gWBLgSf8dDUDP7Lc9unGe8zGCQ0WmPVEjcKeXJ13tVnDfjG0KHB7pEBV563gMYLgTmKTB4xOYwBOXozC1HLdGV2Kgaej4B4Ap626tevX2AY816rDho9epYMHcHAxwqyRoSrim7Lx3BBQboquAD44ENOJmnKTWto/xWgaLvanp77nQptM4mPoIw8flIInLIfgefKl+cUp5CukUcQ9y5GH5g+DC1+JH8hz91p72J4Y99OJ5R3EfsGMHNID2ScsL66GF8YNIdBs0b8mRB7ID6aZrsrK4F8AzMbWbOvxxVvkNec6dOnD4eOG9EP7t56vNABdAC6tQv0iH8i7b05faAYOfZDOFewo3o+gtGUD2xn5MAbU75iocbJ/onojI/JMwl/BOVUdIkYFV6+4NHLMfBmKjDqpChMlIfR91jIgrT6Zx8ivmQs+YowwIO6fqSMlhgCTq6JjrTmfTY4zUfH3w5tV1KPuyL/BcadamHiyoNvjG52ajTM7wTBY/EDwb8Q+ZFH6pGK1wS6CxpBf9lOgNZvh/H2Kry4lba8jDbftwLP0ohTNuRRhDafxXsiejiQjzXDlZWutQSZ/ou+6LeMXnzgxRuDmQzviz2yIXIb7Ca0bt26A3S5kPIe47qr87G2ty9aK0atR2fo2tN/Z6HMo3x+s+K3bBthR3UXJt488v0O9N/Uv3//c2nXp/FOWLcg/HTcuHEeL1N3Bn0Euj1OdRVt3At5uBxa1K0RZMKFBsejgCfoLfM5DttvAKseV21CxcpPG4zRIyAyh4YaR0OvRdyAHj16VCvC/0Q29Vc1SmS0TJwJk/16/jK2b9bBd0ap7g3TnUXNwojbUgOcdxvHAc8jDJX4A8yT1P8X5RzDQOFOA6+R6FWHm7Iq3JQZmx/VboLis/GC9Og/8jsJEBcN9J8op7C8A7gNZ52uMHtNWgSJ9wg8noCnAAAQAElEQVTEZwjCldA0A9inKceVpH4I2Ciel+ZiK7QmMii6MncBebvgO0AvQZmTHScEAW0MhO5AyDM/XAqEz7w16P2o1I++MlD2GciHA10PEPuCzp7LFlUaW1fryUeMVI9gOWkKjvfAq42Bc7IxAl4+Cm+uwF8Jf+7D/0nb3QNvvoniTpr8dhCP0WUbW3Y5DNkSPIbwLUafxkB5dO0F4DsGvG1fP5aL0NHd6vc8oe2fRD/aEJyboyhc5foQzFz50jB31dnJj9vXREciXocJX7aHqB+ICOihT87g3d0mj1LBkkRXXt1l0vAHrE44ZdZ+GUGxLoSeu5ADz1lugQwVoG+mEKf/l9TAL88sZwDjjUtG1UfvURknYlHZLmHVywH3YXixNV795UDiB5y90VeBfMGI9giBN9UoT7zGnSvAONLgfpL2+whcm9NHNsZoSKPfep60L/3FDwnTeR9UgS4JScZg2gP4X+kvU+hLLs6k864e8DhZYHgIqEdHZ1LW5fgp6EENfL+3acSqYjr1qh8zlCXqUTebJfDoqJYsNnh2Xln8mXHOhZYthAXnYQBloMuix/K2JO4T2sMjgwMwivzo9TTi0qjDj9UBjy8HXmWMFUF/c1UVvfsU+HrsdAB0lEC7R0zHALebOkfsedZo/Yhd78CQN64+eujXnpC0Inh0D3x5gpftCKOyNQJe9GndunXwPQrPHgP1KFa89jfQX7bDDhmPzn2JfvUSY8tk6NmEsBt9wo9Ztffc6ZzZqlWrdaHZ7+oCubFExi5X3rvStzxN4HjkCnUx/dIdixTKcuwXNG48umchXppKhwwZUgL930D/Y+ifh+i7P4ko+iQqA76WEf8NcnErL/2RA/tBGfzyMpd26IbgGA6y4mLbdNK/Bq7anEpqtQtDETZDCZ4PclcRenXWcBrnQ563QwFEz/Sudj1LKwBmrgfzelLfOq6KEHo0pR11d8cQ7EZ6H/BaB98EfxGwG8Lct/Ev8lxE40wmfBr4wzDA3RY7jnePZGyNIq+kuBkUJlHeiZTTjfz/RYiPoYEGs4pzIHH5lDWPhlJhD0XpeQ9qMAsXbxUdeTal7BaEfajPicD1pJ2FoB9GnB9SDUN4PiBOp4LwjGchHeYn6hhJ5C/kHwWM21K8xlwCZXi2alvSt2ZQc5U2aFuEywH8BurLpo4EjB0/MnEyMxj8vWLtePK8hKBq9MUKrM6HqmXBI8/4fwQuR+Tk5OxC/crPs8zaC+jsm4Crg7dGu1vPnjfsDn37E384sJfB5/EY93PAebyeOI056ZrFpMUPXSNMDFzR3pI0DZkNGHTTxIM29iPmF2i306D/LMocB389RlSxUwpaK5629AaZ58BzO3DajUp3RJbugcZZzZo160r8q7m5ua4SuhOhvGSA96HgvC+yfjP0e40Z2SKR4cOHOxFqw8qGN9QEcfPmzctGZp8EdmPK9/ozt3gfQS5cmQ9g4vUfuyLeVKQC7E87KQ9Bf4Jmr0/0vPfv0NWINveDeQdTj5CcwsrrQcTPwntcJF7JWx28vGvZid5A5KB/9+7dg8UC+o87WHfDqxjd9LHHqSiXvn8q7a98DSL9AeWL+Lh14LcQ/ws7icOQ3+HQuRt94V76ht9BDOP9U96vXLgw2KKXDj+825/0fGTbQbKUvqWB/RZy4K6cu6ZR3Sp8hL7hruckyjoFg9ujEO587cjzupTtBHogE+AzKDNqnEU00uHlcfDwOvyNFPQR6Za7P7rFs+E/kfdT0nZj/DmCNHd/H0MmnUD8G0PgXOpzF/FHygkMAsqIFwfqCevA7+3xm6JngvGP3Uqv3ZVWjwGk8Z4H4H+hLeOjjz66Hrny3Ld3pauroxPKeKGpOvBIYfzZADnajHbtj6HqrlYEe8CjqLcR92q0Etr2fvjihPFk+OIlCQNIu4eJjd+y8VgnXQmr71Og93N48AIU+E3a1dB9Hv4eZGEEY/q7pGl3BOOoNgjxuyFHz9LPgkkd6X7r1wrYjShjFob8Mo8Bk76mXIB/lcpLvMGNuDLoakUbeyqiP8/RSXoRY9JrpN+MDyYwLCy9x/MLyMItwO0NzX6PdQe6KXq0leTVd4GRt7rFsPKjcfEkjeWPGh2NYjoSvy+Dh1tvS2PI6lYZzZ8AYyZQ1xF4PwJFnkr9eORIhGUcKwUadechSFfB0HwUukp/W9KuxF/IAOHqpcz3nJqzyd8pwO15j6rcOnfu3KqGcoQy/KGcgynT1Xg/9vBc4Ls0oINGEQ3mx6O30MiJGI2Vdh8YGH6GRw6gIzDOimjM+8DjaLyr8l9Q9u0QpqIniLh69gnlnKCxqtJkUnAuk4pXgsQq/yi7CNyfp/wb4YU3jUQhiijjOdroOQb4ovn8YSSfQp1uuWcSPgEfvLUmVm80Y02FKIJFvXv3vhNcvfLSer0ezqMkZbTTL9R7EfQEhikD+Pfw2o9FCqBPg/VN0isNErSz3z34IwqxATEnJ8d2+Zz2GEC+b4CJ5nGwdcKmQn3fNhAfylxTrhgaPds9hLbw9xSuBKcvQKaMXSKPuZwJDa5+uSszHhk4HX74odAQ8tluUboi9AUNklvZ5gsUJmXoyjBwP0Im/HGyRvDcyYGrhO66mB7XHpomw5fr4IE7BlFdUgbtI+HDybSrZ/lL6X9v0857A6ecTMVguoO44IPfuCZw1ZAro09nQ/85ZP8iOzs7JgPSjN69lgm/k7gE2t5z4i46eH1oKnJwA3rG4ydRXlJEXLsiaPA3NL4F932Q34MJvXvaHxo6csGCBa4GRxgknaDnZ2RkPAs1rvYRRMqQD8/Vu3X9NTx7xMgKPh/58maxa5ExF3QOQYZOp999D/+8EME751+lPzpBDLKhQzXOnEDsg6w57hwJToPJfxN6dBFeXD3n/h3xM5lMnwH+0/r27eu54kuBG02+JuByJ0ZRoOOCguPkH7jNhQd3gN8n0BKTK3mAvJ0ITaNFFTkbhS7aDbhfyOO4dwfjlDrc5Prm7W8eXzwPer/Bx/gCj2bS365C37jiqlE/EX44GfwZPjbCXwmvtA3qSn9bXtuVOVbS/+bQb26Ftl3w/+b9SMK9GLMrLhy0Iu5l5SZaIHxwJd6LO7whyjG/zt2bn5eXV0QfGIp/Brr8/owgcC4G38KTNm/w7QyycRay4tjlTt/LvDv5ickOsKvtqsWAt1FBzo9yvkNZfVvuv4vOvFYby2UXUIZQjC+v73cM7mwE5kcGqB9QJpP/+uuvGaSNBLefo0YNA/8E/FN4z/ZpPFp6MTBfUtY95P2etG+hyeM2S2W2dAHvOfq7qe8VYD3/ZTneIpKPkv6eBv4coztmSLsdw/sflP8DOAUf25nBuqj3ScrRaIviY1Jwsw10xJSi+ZkJLjGpANgz3XMtG/89ZTngxHAHv0X+GAVwgdGGDT8f/F8H7hnqHkV8rbsRI0YUg+sn1P8WPmZo2U7g9gG0Rq+MC9qYuDeAd2trCVwZVF11+xMYVwaCdJ/xv0Cj8vDH2LFjg7Ygbib+eeKfJvQmnwB+Df/zw58faaehDOoa7QE6tHUhOA6rGCdf4Neb4O9kJWjPAJh/xLsj4WDBW2WnzFH+a4aVU+L3beTIkUXKv30Eev8E00r0wpu/fvrpp1ibIx9/EOfuwnvKOPD11ZXQlhPhi7pNvRvsOkWJVT+x4qdhGxgN8GQmvHHC9wo6MriSNQpbR0I/YB6H7MbGF2j/VnmP4g8/NJ6HqguicYa8q+seggcvCGNcRU/cbMp5m3Ai4Xj49KlyR7583ofz7kp8xSxOuEdbP/jExjpg1WFRfrsN/zEy+47lmFl9R57R4PE6fhjPrj4G8KbHiddAmwhdI8FPQ93JcQw1aYQfMaNLXQTcU9AzFFodc2Kw9ezBNtduUOZ+hd6YzpFO+1t0Ium7vIBPLxK+Shjjl2n1wSMfOejlHwlj/RE6f0AeYvLC+/f6qvTCuw/xd+Mde2M2SlW46nuv3pJsa+j6Af89OqPSd2rUpB3psd9YvwbmPfrI08jCEuM18KvtqsWAX20s6lEBzEIbMwOfxDabqyt1TkDrUVOEpIQcCDkQciDkQMiBkAMhB+olB0IDvpqblZnpPFYqJrh6Ws1Fh8XVQQ6EKIccCDkQciDkQMiBkAMhB6qbA4EBn5SUFFvyr+4Kqqs8VrVdzY57PKG3ruAJqqvvEhMTy7p37y7Nq19YHSohLy9PmpVHfR3CvHpQTUhICOguLi6WD9VTaB0sBb0U8KEOol6rKBcUFARyEpWbWq28jlWmThXl0tLSgGc+h365HPAHtORVg+yLaWlp0h31y2VUfU1UD6NblIH6SmKMLvWD9BrhFXt+aLnuIP4GDhy4Q7z50tJSr+ZpC9LrgtsgfNzh2BBxQly80tL7mVvPnTsXFsSf7IBUjclKSkqKP9Tgjyb12GEHq2k49Nv2KA+vwEtJTk7eyvea5HW8li3d6KWWJSUlPeMVx3jBKz093R8w8aP/dRpaf1nZNsAQ2ZoBuiV9a4OQV8vXq4WFhcqV99H3XVk+1xf4/Pz8AchLR3wXdVJ9oWtF6UAHb0efaQP9DUK3QKvXBPuRcKIGvF/v7wHxXkLvTwP/7SORNf4MXhdgLPQF6T15jkscwW+N86m2cShviy2oN/oDBg2KB8ijPyTUmXDncl40GPrL6fWHXTKg//Ty9wZDPzIf0FpaWuod4j0YQPwxkyAumhaGlccO5MTbwNojK7viQz2+nLEV/pyF/Hjt5aFMDkNeLYdX8Ok8/Dp4rxBtqH3wEuh3QWUrZKfByQs0ayP2Qsfs2hD6C/QG+oEJflIiL7n4B9gKPzQePYOjhsIn4OiP9BwSjzg2VJzoMG+gOL6Gfq92i0v5AbcawQvavZPeH8R5tKioyHv8a6SemsJ/dcul3R00vM7ypGWVVd/jGSwORQ685vTx+k7r6tIHr/6NDv8Lfj3UEPvLyvCPvnUKfPoOnl2Db3C6ZWV4BX+8svFr+HUHzw1KB0f5RL86DDvpHXgwNBrXkELo/zd95it48CAyUO/7C7SqH/yRzmINeBaSSnM/+eSTafHoEUp/SdLrFfPBbwY+LvFsiHghSPkIT3FSUtKshkZ/48aNvabPM3fKZYOTSZSmd82XoTRzGlrbV6SXPuCd43GrPyviuiafkZOgv6DP89YkHnWhbnTqHOUKni2qC/jWEI4rpFPT0tK8vtK7+dVD09ckLmuqbmRlNvpYG6lwTeGwJuuVfnwx/aZBjMXQGegHdGlZ8BErxMe9Q0AT4h7JBopgTk5Og2sbVhEbHM1LE2+USciHpTEmjKvEAVbGQjmpxJF/fgnHvH/mUQgRciDKgYbUX6K01hkDPtpItRaGFYUcCDkQciDkQMiBkAMhB0IOhByIQw6EBnwcNkqIUsiBkAN1mwMh9iEHQg6EHAg5EHKgJjlQ3QZ8YufOndN69+7dCKRra8s0pV27dhnUl4yv6hJbtGjRjMilpREdcylt2rRpwlsSfkVdM/IAvwAAEABJREFUQlZWVqp1G5JJXv5j/h49ejQ2Tzk8QbW5RMumNHkvLjzGXJJtoicmWbhyHGqrjah2SSc+HTt2TCelKr5EVXJJ5XDLbMd+/fqllLdDRZpSlpEvQR6Up/1T3ZUQqcGXKK7/JEMJFfpYRXSkwythK3rjojDJ5fSaHo2L9zCQVZC03Su2q88pyo+e9Ip08lonXVUaJSLZtuZhaTJhO1Y33YFs2TeoUx4T/O2ML5eh6q7370pW7EleVcUhyquq8Za4NHjjV8cHY91SdI5lBvqlvO18XxO+Ig5VeZK8DLzFU7lamryZtqo+0fqUn6UUEOBpOmlLyBxx8eAS1TOOMUtBJtk0PWlV+UzUKrm6lMm+pcxUtDsC26icJ1VpSSjnY7y2dVV8K75L59LwTinv65XSpH9p8RQo3LLKInnFXbUJnIhiFA4qKiq6dO7cuWd37NixF2hUW/mUtTSXQD1bJCQkXE3d61UFaNu2bZvk5OTbMM77Vk2r8J5M3u0SExOv69SpU4cK8ct8pLwm+G0WLVp0QFlZ2b6Eu1HGIPzuy8xEgkpqwYIFh1DXWeDdkqhqc82bN2+ak5OzHTicBG5bU7AdiyCSSF0daZN95s2btwfpXcDXK7fOa9myZaYAa8KDU5c5c+bsW1JSsneHDh225V1DfglU7ATg7J3r+9KeewHXugpQcvv27XtPmTLlX/n5+VuR7rWoEfIA3nbP4uJi8w2C1qbl+ZKAXy87O3sP6j4YuN3gl5O38uTaD5C7VuCxM/jsQ7hb+aRzaYgkQNRWwO1Pe+4NTZ3LgaSpP2mnk/80/Kn401q3bt3DdOCakrZDOS/2Iq2t8fHuacuOubm5e4LvUchIV/BV8UUwBBqR1nf27NlHw4dtoG+Nth94rY5LoW02gL5DoKlVtCD6c3Pi90Cf7oV8bgPNjaNpygc82Z6w2vqv5dMvBlDfpfD8EnDZhvqiOkS5Wxv9si9xyujmwvNc2y4JutfHHwi//A2KoH70anNw3wnc9ybsT6SDI0EkQloqcdvCyzZBRDX8gzfp4OBYd1leXt6llL11BX4k8t4dHu5pP6Xuzamyug1iilyuS0anbEh7nUOfvwpc90SGgj7CcwbPOzIGHMCz1wDHCiofw3cD/6o6NgazCg8usA1EN18CPpfDj80oI8YPcFGu9hEf9NUmpMWdy8zMbIGuGTh58mTH1o0qIgivujGOHYDfGZ63qJhWH5+VEeVf2nxGho6iTc8iPLm8Tyby3pv23gueHUh8pbGG9u4xbdq0SjJgWfHss7KyUsF7I2g5BXvExeIYuvCiNfG7lff17csnJxHg2zM27U3/2xO+KNcxmUdm2sKjbeFfaqygVXyoLgM7CeW5ATisVVpaOo5wGwg6mw5ZiVjiq9slUE8RRrQX2y+hdMBlEcb9R40aNZq9nIpLgdHo619QUPCP+NqYGODH4AcnJyePp+6vyP875W/K8zGEy3Tp6eml5MsEL+uKDcjLzLASCfPnz8+jfq9p2w68bkRANia7Bk9ZYWHhfNK645vyPJf6m4HH5mlpabGBDti/XQ0/gVsbBPt0cCgGp1H4PZEfB94l5BElsDv89X7XnwnXI9/5oBfjHZ1nF97l+0LK+H3q1KmFyF0mZZ5I+R3I8yPpW6WkpOxBmELHagP9R/OcDcxIwiOSkpIGE8Y6GM+15pQnaDqcCnuAx3eEm4PrwYRR44nHxQ5aB0GPd8D+Bu7NaOeLUSiNoLcdNO1F2rp4ae5JjgNId/fJH1vah/ctSftRnvB8PGX9o6wDt0Yd7TkXBGaB9wnQewF0BkbI2LFjvfllNvE7QM98FGU+cHXGaZyj+NcF4RQmH2nQ0J/2Ow05sL2IjiQ0btx4V+jbBf8X6Ycx8e9tAj4JfdaP+JYZGRmFvK+MS6Td1ydDrP/wrEtcuHChhqZ1TiWiF3r1FvqpizARcO1CfWeCo3pEXXcIE+BNgVO/ENSOg1fK7JbUdhb4dSLUJaK3ByIf24DfGCIuYoCMLebk5+dvSVpH8M8lbYVdZ3aS4dXSFn4SqXsDytyWMuVVd8KbMU43onAXlFrSXieTngTcT4TngI84k1yzrmvXri0wIjekvXogS3uAlzrOldGr0C27UnsSPOoPfjuTNg1/Bbi1Iz5wjA3KW3PkKzuIWMF/6NQm8Euds8R4gvGiXbADfPAWImX4XuRKgyYivuByBdUkkD4BfC6G58onUfHjWrVqtRDcpoDRIejUu6ApJl+8LyBN+WqM3l4ITH11jZCrbZGr0/A9JBJ52ZZ284c2exB25L24RYsWLio4vkbgSx/iTwE20BOkNUMO90EG5xNXgo9bhxxqZCuvCdDVBDndHVouQQ/HdOcVV1yhLjiT+LWh6Uf8MSwk7g1Rjt1H8d4FP4X0Y+FdR+IjjtfwZUvik5kQenOQ0avslzCYVrUkBHksjfPMrFmzHgfhZyinHYOQyoPHGnOl1DWe0ucQBkLCc8xh/OXMnDnzGZg6ORa55EMpeE+Bqdn4fxQqVlycLBwB7GsYi59B7x8zZsz4hTIepujvKqzE8FrZjRo1qpCG+4PY1W44yqjqCqD1T/jwMb4biZehIJsTlskH8J3G8wRW4b27exLPefg15TYHn94McJ+C8y8gMZ4OciAGmgM0r4udws7TpfhRwGnAP0O+wxh0/NGKCAOBM/kbSR82ffr0T1gFUckWU9YGwPnrdG/TNr/CDycJBzG4NUVOdyCtI8bh15Spcf8q6QdHOxhl1apDnjpQv4PtD8jTb+D2Pn5/BsW1KiICfu5QXEzcH6xgjITG9/A7In8a9aXQ9QA0nUfclSjYRynzS2DHk6+Z5fH8Uzkv3uLZPConHuPXQVsuBtiP0PI7NBwEjQ4GImw/nUPcXxgbyvXKGrKWUeu+V69emQz++6IXL0APrI+uSGTykUs/+AEaNXACnIhvxLtGzmzoU1/YhoE8NGnSxJ27vrT1ZwwAK9WH6Tc7UMFx+Er8ysrKagQOpfjb6UcPEF4Ob/PBcXtgEwkHErbHUP6aScPP4OY1ZvsgWy58kFTZ1dSbvAKX4ZSfgw/0vbiDz4bgW9isWbNRpPvjYoHhjcHfmbQdkJt3kP2VMq7gwa70JSe+VPW3Qyc5OEdIe1xeofcvpo5F+G2BSqbvuRCxHsacuk0D/jfij+rMhICwRhx6vgW68ED6yqXUvy48SIQfr4Dfg8jaVTx/TMUDMUpSwXtrcC0Bb3VfO8KNSHPHsi/x68GrF1dSrhLIsw3yuCs0BryxvKinTBeN7of/9yA/x/DeGL8T6RpGhxH2Iv5/9PXPwDMPfy5x1WaXUNZqu/Hjx+eDv+PI9+Auf6+El8HKMpNxJzsT4PkU4Va7svgrwB2lDaH3KvrEgdD5edOmTccwlrairRy3riTeH2m7mvF3KnEa8OsRjkPWfoFfe9BnnNgl0CcOI/9PyKV9oiz+SI24u9sUWl1AOwf81LlljMtzoeNb3ivZbQ8++KCLpNqC7yIfP9OXPgfOhaY2PLvIMpY8Y6HZBctgtxwdFkx26C9fk+ZCFMGqu+rqKCUYyXMgdBGNZSdeBErPE6dw81hzDoapyBWGNjD+UvzDDJLOkN1G3AjFdiU+MFYwEDMxjA7k/Uj8KXiPvmwBMymmzLtk2xB3Af628jIsuyLyvh9PxDSE82dC6yWIRKDdu1gfZHUwFhckLPkvgQaNxYJTR+o6jjqvAPczUQiB4/kY4m8gvjcD5cY8X8bzqSjJljx3I/1MBuQNYwX9/ZAPMbfSgTqgGK/Myspa6jYNMA7Ym1PGk5R7NXXEjij8XVT1PyEfjaBf4ySbwUYDpARcJuHt9JUMeIR9Q/jcDQWhEVOWmpo6HYxc8diCdmxCObeS/gUDyFgUSgcMH2fHSdD+/+ydBXxcVdbAZyKV1N1LaAsVChSKa3FdvLgssLA4LIuzuMOHLbq4LVbctbQFyiItRVpaKG2puyVpGv/+/0feMEmFSpJOMpPfvXn3XT3n3HPOPVfeHfs7ihDJf2WkW64z7TWjrp60ZT6qirhK4I5RW+KDGXKk5v82AgeP98y2aWBzctUcHLr5Hnr6sitxG+FHEVfGcw74uwp9AIPfTPhvHPRazNPV6A6kTwbvXHAWr/UIe1+y5QLjh3ZcMZOfqS6xHfQZAa4PAbMrdEcAbQb9FeU9gg9wgH+z4OP94GdXPK/kuS351smuCu3GnPLHCl4n5PUIJs/+UqRG04MMYoPQFQVkdFfOgSGmN4gvAec8cMti9ScD3NUZBW7PYkAfSdq3DJZOVim+jIvSVjf8SdDjn9DhSmSlPTC4O3MruXcm7XDkJXZcZxIGCpNZFyOUE0hbMou25ZdF0LUBvKS8zmfHrgDYNP4nlcd5lKQt+ug42vLo1qXg66IBzVSLk1Yu2vj7C0ED4FUCLMp5GqtjmcDtpCIPHBtlZmYeD9+/zDjkhCPIX/mf+pe87kjJW5dCq8bg0xua/xPvscgj1blhORdhGKy/pP9cOCqmf5x4jQcGVxXdzd0HGITH3SP5cwz91Zt8HYFVPjiJ9s6RXrYV1ruazyh0blAO+1Hohn9SvhG43gxsLwDbGD1xRZMnT84BD2HNgx7CtxBYMzH2GwCnvLWQiU8Lwq7MP78y4x26rCfcwH8J/mwHKnDQIPFH3Q4Ax0OIr6DDgWMIfD9ZWBbyRzu/Es4ZMGCAOxTu+EwmOqAd8d/it6dO2LZtd9o6EX8GdZ5NXHvS1qUD9LL59KUrrv0A5JTsP8bWQAcRp8uATlsIM/4G4D8M/pEnTas13rEU+NfH+yunf4dnPmvVqtUF6gl0QAE8tSVx7vq+A9+dAXGC3VHGXO9jz0eJuCjQhDzzkRl38bYnnE759yFCTH4Jr2sXfPeDnutCXx2fm5t7GXDaXy5mvF0OnHKjsR3T0caD8/547UZ1pbI+krLZ8IinHdzxa4jMZRKXAV0KaMNFOHfGByMT/o6K1ayVryoDPgDCTmdgcavuLICOGUlBYjX9ox1oWCbBVSQ/8d4e5jq9W7dujTBeNNZOoWm3CSWiW4lbEv8RDLYBBW+EsMG2NeFMCL858RMovx7+aAS0Ag6s6Hg0YwvSXPVzkkLVfzgNKd4c4Hj8uVMpwfw3k3MqMD3Hc1tWTO5nkNYIzQEmf2UuygRjBuF+pPeCxu4UNARPDXMHXKL/cOSz7PfU52A9MC8v7x+VFQhlFSANu/XB2RW13Sn3D4RVBvujsmoIwR/S2f5YDHO7kirja8g0BeYKOzbApBHrAK3RGUGBaOxr9LeGbpsBex/6YhIDxy6UvQ3hOxdcXb1sD44F5InVz3t98jalv8dRriuTge7Qsj7xLUCTR7SCcBJXU85ZvjgF/AT/aYC7wqdRHxsYANABzJWMOQLGIKHRl0O8/RiTY5SEq2zy/U8MxktJd2JmEduIgL8GkMrIFaR1buAK2Mo8PKDxSteVPk6+J/A3g+MuPGPOfiSDq3v9eD4Hzr/gr2PkpvEAABAASURBVMcK8FhILF9NBzSSMZTOheYng4e7b3exe/IgkywNmpWBY/+8DZ864XIlZzSy8iP9uReF8qjvG2RBY9A+JOoPB20a0parQg2Qixegg7stx6NXJhP/He8zkYvPMWoDmfqj5B8hVv07k28O5T8D/gzKteU9BxjUG7yWueLcDL1kmoO3z3fI04oy8u0fla1GCNg9T7qxepFiIW8GAyzvLgzxqOhGjBgBGEVDAGopdNkJ/z+8R9F2h34/gecPGrrWTcmYnBAOHLT4J2XbI3ev8DyByL8WFBS47f094YnED4XuDsa8xlxMV0ArJ9vqfFfU1DfK82JWKQ0rx8q1Rm1j4NLQtf80YhrQJxX0Xaz2PwmAS+clS5acSX0nkjUXXXYfhvIT8NUyR0UZs7LolxbIxUfgUQCx3uZ9Pm3vwvN98BsDDlsTnkL/zqBuDRm/F6hMK43926jHBZj3aPdgJnS7Ut7Jnob3r9D7cyYQgf4iPXQxWsmzRKYB94ejRo1qTJtdoXlscsW7hnwj0luS7xjS5Nn3CGcAWzBOE15nDvic9AwHz5sJH8nuabhDE8MR+nk8QtiHks/d3fOhubtea9TX6wrZxYsXu8v9H/rASfG18NfbGOLyeQASuLlzfiYvz+OPgB6Xw2tNsF3sww8ptwF5uhN/L/EukPWGV14m3BQadWWc1maj6Lp16Jp26Kyzge1YYBb228H1cfg4WFD7E+iywS8nKysroIth6tBgd3fiJfDvgV3Sj/gvqH8a/mjq+xp5+w0adGnOH+9r5SoL6VpVBrCuis0GYI9y/IMZzYZrVeEqFIZgUQhVhGIZwexOgXmFYl1ZjXQF1i0NB6oyBnmN0z2BbfrcuXM9u+jWPEXTPi2vQ9iHYYS/SqTbtB0wCDWYqO53hyDKzDJeEZ3gYPZ7whr+R1EdBtw98J8Ck2dL7wS+PWlnc1ZVPiD+J/x+wDSP5wTg3HH06NENYARXuTwCsozCFhTypVHmTcI3Ud859ItnvGNKxnTS5lGP26x38H4f9W/H+xoPvtS3Wg64YvBYkPdSBoQKccbrTfMZet5LwMkJm33wHIPwK8S9iz8bXHrSf+5ClLIiFxbxWQa9M6HtYHB1q/00+vcAcD6Ich4rCgxjM9akp21x9thPMOADf2C0A6O4xUABR/M52YkNkJSVZy0XpJmZco3Avx31TOQ9iCdfMXhqFBIVcdchwl+F+nlPSAfs4pDOAO6E7DqA/AwcL8WrWwKcGEidcO9PnHI0A4WsMTkXOvhtAUXWjcOw0gj112o1WtRTq0xzBpGR4HM/kM+hLx+C310l3RB6vAl+O8IPLpT8jUl3hQ8RMeKK4PO3KPs5ebpQ1slxG+L9HshFgSUYteq/YNCh/goOPekRh36U+2DhwoXBKj9heaaI+uyLID9wBLjwVEceztMz/ffCZzGDLMi4iv8YK/w2xd2V/ei3vzGwuku6EcZ3e/DdoWvXrm7NL7c2dOf3tP88fhbtXw/uTQm3ZPIxmEnc7oQPJf5Y2hDGCnWQV93xAW066CpLfnym0e24sZi6XaxZLq3KK3JM+Rzj1PP35VGRQoydkFbKs2EnY/Vo52+02YOML2FQu1JPcM0c/UJXp6dhzAf1L68Wxqn+5JuB3vNIXem8efN+4f0p+Mkt/5sx5N2tc5L/JXF+2O8Z5UOgv2fXhT2s1v5+CFpKq9Y8nbR1wCArIOyq/iJw0+iRhmGZ2FODDWDt36fhRcc6eQpQylyICPPZXhmwusjgN21nkWED4HqRDO5M8li3Dj7KgB9fBgrthKuhp+fApYF9EAHWvwPzImyRH5mse+xC2A9iwWWVLsig3oRw9KWLIHfxdBHoaOTIHc3YJBodMhUd9Q7+BvhZvbwNvNbT3Tz6z4UDJ3VPkDaY+G15jqP/i9HjGsu7Q8ND5Il1jSxwBToaOIIn+Ab9yPufOso6Hhfm5OQEPE+/y7+RSCRSBl0+pIJX0JlTwftRZMTdc9in5FP0knK2B+PDORjyyh5Z18xVqQFv58G4KgpXf2eDUHAWcc1AW61SnulzoFJJSkxX7cRNggYdwraPW9LvQME9GRQ6QFQ/PhqCErWcjZFUYtiygF7mBz+WNy3wdJTHN/yorP2CBQs05IP4NfgnnMLVh47VOFE5RpiQeVZbY64z9dvWCwByGIODCl+DLAsBOID22sBoDsLiyutyXUGTJk1UuI+R6harH1IF7fAu4zkJUXlah3VHELSYgJqnOjy4ONnSWM6C4PaRzbhquAjBFx7fQ+/Wr3mcfEWYFWdAL1ezZoO/K0JF1DeVAWEJwvQ5Pg0F6qq8q0L1GjdubFnrcsfCvs1jQHYF8kLK/4f8rtS5yv8V9QTGiplr0gOHq0wNwL2B7fIe4ErYwV0eIRg4aVYE/u4YRNgad3fIs9HyQXy+jcArh5WQYMAj7PcfnokN6i+neSbPFQ62QWsJ+I9BYx5y6ypmIc+rAbEp9Cqlz6WJhkjAP8iOtPNYlseEyLZu3K+//joHJf1vBqtHobf64p8M5KewMh+ch/wTqErQpb9iBIxE5ovB1y3o13gqw8fAB543Fc9LBwwYEC+3TtaKoIsfd9vv8k2gx9AlPqMDBw70udzmmfRuTVkHs8FkKAZ+t4g1yhuBh/JkWXciF6EvlOV7qFdaPwyvXcIkXH1C0dVztOmRnq9p4wHCT4OflxOcxgB4PuFSdlQ1qFdUaTED5iRpRYZc4NFgGEEZDfEriRtPnDtzfydcwQGz9NmVNp24LOApfubxqTe8XM/kaX94Lx098/qYMWNCI195bsJESFpZTnnOBQf9ZbT3G7D4jcp5GL+mmWe1PPpuKqt+99G29SgD52BgHc8kRzmI1cWEpQ9tbcME90VkItyyL0GPTmSBZ9QGG2ywiDoGAtsX8FUDYPMs82BokI8/DONCng3r81sxvztxsuakzf6IUl4a6UN8w/zxTy+5cJd3Kjz9Bgml1G3f+CGtq+1ERTToWwGvOxT2w12EFwPHU/DZhcCm3o8kwh+Lg4vh0/8DvlHQTuNsc+BU90gHj+/G9DHp7nq1QP7X+Q7C6tAOeZqDf5eFRI8ufgMeA+GnG/EeT42vyosoNFadRCvDEXmNfv6B8qORX3eDm6LDvoFGh0AzT0AMp4KD4MtsnuvUMQGbDn/dCxB+t+lZ9YvQ0cfBn04giV6xgyZ+O9kInac8RODRFsQ5Rnukpgh95A7gd8hIU9KUxbfhAxdiDiXfD9TclnH/dJ5r7FYmdKtbqYOI9ZWxIuDX7870AyNidSuqivwQSCFy9SusTiPfbfhfYSS/iv8KpXUJiQ6IPCJROlIBNKwysXwQjvvnYPYU5bujQJ2cxPJ7tpuBuV92dnZzwzCAyjmWHleHMLlyqnclojPKwGMQEZg+DQb3qIPnsiMw/7Pg4ZfbJ/H8jDpehhEu4NkG/6e0ZdJSQN23UtYPcI6GeWK4gkMIm08H5KnUHVvdpf5qcQ50tDMSPJuDn0ZlOrB05P0nvB+apZXTLh3B+A6YHRBdbXV1ox24NCLf15QZi/cjwMBII95Vm7nUPYV6J/BepuCAhPi1ocxk+lvB8qOUuQiXOzB+hNKONh4SLvLWuKNtP/Sxz9vbOHBKiwU8nbx4ntmBKwNcvfHInYNgxRUcHexUGH6UalG9uGqMjHMybQSKcyp1aWAFK0DQpynvJZT3LOryeNxiCeeBWdz81mQKOFwLgN3xuxJfQL8uxGsghYOLk3Dlyw/1yLbOXJn9wIA/Bdn+b4sWLa4Ddr/9OBOD6xD1RDlk4qYvf63w0PjxhqvfMLwmI8/hFq3HOlwk6Yycx3bOWNWSJy6nnXGzZ8/+H/SRLhrk6uagYow324q9B5GRSAaD81bwWT8G7dfhm9Lm/JWnfU19bfPy8upjmNZDtrzC8VueS6B7K/x5hM+l7MEMymu064FROpYB/ysHf2TzN2B/BnzPxsi9nOfHQ4YMCXZbyuFZ2cPbYRZTfjR4ekxjfeDT8PSiA/WIuAflMcA9N/4oNHI18VNwUP9F6Zc0MphPb1hPVMxl0H9es9m+adOmT7KillZuPKdTl0dUWrF7ERimvPvR41ho6odwjVkoOIN2zqSmfZHBXXmuiQv5aiq0epp6bqeSUuC4nD483G8lGIs2pM/2Zix+iDZz4b1m8Ea8QZ6Bzjsa2kyAvh6jbA2sHalLo1qe6UTZ2LEPjJr10KdP0s6X6Cx3reW/SGFhYYw2GCOG9WSLOa+49RuKLMq/DwwZ0opy0vYd2lyfPpZ/LdcX2gwH7iW0sZQ+9LY3V7Qdr3enRsvwWHcO+AKdiUwvhtdPB1aPscrz6mnHdr8P2ZBFQt9dKPMj8FngHnwTse4gX6OWy5RH5GgYPKStNBR8/XZwS/SAC0jqlQi6wu9kpsBLv8a1UmY/078HEP8h8u0iW2/eF/DuBM3FyPZx+ddVsIxF3HxkYCL+MSbjN8B7ZeB5IbLkLmc8XBX4jzwfwA9N4fsQj43BbyKyHtuNwx6UTh5R+5b63U1tRp6WtOGNXtPRmdqR8W2sVlihWa0Cy8uMwqvHltvuKMTD8X2zsrJcxdHYcJaxvCJVFedA7XESjZKmEKsBxHFVMhMYmkKk5rw3hNDm8eze6RBMw9qPK5xt7Qm8nu/UKFTBeB93ffL43gRlFq/wApjpnEHU52rv3+1g/EYot97M5LwKrikDdj7C7dGMGxHisGODsvzTEBOWRmxdNgG+F2GA8bR3DPTbgLgDeX+DeK83jJSvOHocoAOw2NlPgY/bw7MUCOqr4MDFGxjcNrfdQPkqgNR3MxlHUEfIgAqT+G6GseyREz+GfZUB1DNgZK12J36Tgas/tHOgWQ+8B7E6nsfAuD7x/4J23aGl23f/Bpq+KH6/WTiSfM+ws+DKh3W8RNqJ1OGtOxofHzVr1uwrBh7P540g787Q1SueXBUZBD0Xy6u00Y74PUh3e/00FJQfyVJVzTuU2Uzg+Bjfl/5bnz7yppBXgGkiOGuM3QK8W5b3993k602f9YIPNNQ/QuEMDqGGFx2Ee5LnyzCuefPmTqb9GKeP9cNrXhU3mPJjwjwJ/ExDJloCaycGQA2igH8Z2L8mzqNfrgBHkfVJyORb4HE0vLA5vOPEzMHTVRWiE8ONGzcuByX+In1+O/0wDgNKY0Ad7Adg6i1XfVwIiQEMPp4l1WD2jLUfTfoB2Qzw91xpd56/MgC5GhqUgQ4uAqj3toBPvDrUKyC7YiR57eJvZMqm3V1Ji9GTuAzevYrxJsIacX+H3pey+n4+sqiO/QyeWsACR9/FixfLX670vka7GrwnMYANwCD7Elg8ehiDhbrW2gFruLJtXX746Jlzr3ULjT7j9d5V7+1TGyNDHxFRgoy7Gu8EeX1gc9dDvSDNSY5EwE1auTK6MbLhjTvq1u7Inh+M+3Gqun175CpYWQwKRSLpyKPfYJwPTbpCj3PB/zLwPxm+c2z5jLZcLNiKvvPDfK/ifAoYnFp7AAAQAElEQVT6u+t6FjpuS/peg9nbpqqEVui1ecjEM9R7CzBNmDJlijd8XU54fRZBTkQfXkjfaYDZ56IhDn6E6JWRrxoBzWbClxNLSko24t1vKyYjVzHaU5ff1rjruRX5vGmnDXj2I686x8mJO9rbo3+lJ9GBi0I7j5j4YeAWGHry1UXQ6lR2s833HDBPI94Pq7eiPsfoOyjp9wInQuet4MMf4OkPiKsSWlHPmrhgggasfoDuQkiw4rpo0aIFwOZk7BeeQRw43E++tnhtC2myI7R7CZtAQ39N2l4nZTDYO0H/bZGLbfTYN5uD2zzwGkSfLAZ3f0PFD7K3Jn5n/Egms+qXAF743duHjgH3jxi7gm9+CHuspg3PbOiVTz3rZNc7AHAF/yZMmLBIWQI2d4DcvY6SVbtN3eAEPaajmaB8Ad6v43dD9t1p8PuH2xYsWBDudnnT0hbg6+6W39SUIVMeN5uDDKmPPQasHUMTa+YcPNasZFwplKy3A3gmzruBvXe3EKQ0yIJZelzWqg56NZHGu+fec1CkEncWzPE63lVliX4PBMyBwH6w6Kq124Mem/Aqw8NI80Mglbqr3R5lcHCaBKMOJi2YRccDvZA/cHMF8G2eMvWudPbGtDe3UaNGGk5uIbuiqjGm8o4VZ0Bxxdmrsl6m7voo81l0pF+159Cegu6NATcxgMToxiDzOHU/iJKez2qLuxpXUaGDOY8KzjtJZQpXn3MZkB3gZD5X9p1MXUVdgcBgFI2kvceBfxNg35LnCJ5ubboNWKHS6ngB7xngpDHaiqd3Kr/JAPMpbfm1t7sES4BPOroT8jLhocDuB4k/Eb6dFccClMIS8l8PHb3ay1Vpt17vNI0uWsiAdB94FZBfAfoC3tCILSJNnnClx7ZuwaDyyBdVrRsnHtDgCVp3d8BjTl/QF37QXJybmyst8sAhWH0EVlfbPQ8tTgsZ+G4QX8oGjnwtqetd+CToZyORzUJo60RnNO/K5lRo9jB1udtBVOK67OxsJ6FOsL12TFkMjVsNd8+WXochUCoNkKOHweS/8MkAwj2gxfPIkQYb0Qnlgh0gJsv2RxErWQ78Gncvwq9N0VPxiwYaz64af0F/eeQpwsC5GN5+ij7UGJOHbwS7mNzCTw4ed5Cu8WV5j7gMgSZF0EYd9xpprgopP+q9CLrCGyNs14/P/K7G3Yt84BlKu3kMaB6xu49y60FXb7N5jsHagaeMOr8ivis8ti3Pp+E/5QyQqt6hPxuCh/r5BeAoYYIrHkFD8Ir63W3qV5lYBKudfuBK4jV4d+4WAtsjhGMOPeRK88VEeM+3sqbx6HGBHPAaBD6fIYuNoXdMH7MAkE68bX1NucCopF5laQT15UMrb4Z6gLQs4jcj753E/Q94/S5Hmm1M3f1IfxVcvuBZZQ6emoPsuzOiweAkQcPJY1Ru648ED49CReAxP2zVyHzdRRIBwOifCVw3ArMXOXgc4GV4yXHMZHe+JpL2L/DJ5Cm/ScsfWYVexLuLTF+QVgx/xmhFQaKi8qnjVcC/xHk96Uj4ah7eHaSr4TONeS9UuBVaaejYL57B9oYuP6b8AKPf8SHgV+qoUaeMsnDnBNAdLe+8j32PQZ8Lr2OyMuJFC07g7gJxP9D1KNdw6KquCnR4jQK+Fo3BK/6egZP1Cp6+6gTfFsHPwQSX983Abzp+iGNN2CRjU1f4wh2iz8M4dMTrlPuAMtpNL7L4JH+GyQn1pF9nwJ8uQJexe+WCrouJd4BTR+RHXRlRv6Afbgbw2dDEb00eZ8x5nffAoZ9cUJavP6a+QFcwwfUb0WepR9vwZ2jiuBXkX5N/VWLA03AxyL5Hx3gu9TnCKn4FdrUFjrpWx5Uy0xvFiuwDrVq1+gwjdybh1yCwXxGP4/k1TPJv0j6FwBqAru5eLJwQ/iKYziuSypgVjaTc/eT7zJkyZd7APwYey2Uw4mfjFco7qeMJDOI36bjvNSQA3jNhQ3g+ixDEDCneI+RZQjvvUffDrEy4AloCzN/B7A/SoS+ifN8iT4WZOgrtR+JU9NKymPcXUNQOslYZ70thkonU7wr1eyhfBcwy5immjuGUDZTM5MmTF1CHty54Rv4VcBkC3p6nNW9N+DLgGQ/d/RhInIcz6AaDBbD8xqrR/4Ww8p4HrH7Q+xrht6FXMAgJJO+zoZmGz9v03QekOWM2yd2LqdDCid2b5PskxE+6QG9p8THxAT2CAuvwH7SYCa+6gvyGuIawLly4cBE8dDVxntUXQuXsEwaHV1EqbzPoev7d+MCD268YOc/yUmGwgLbzwfU9eExavE19nvslW2I7jAu/4/iWfnwavDQCYnhBs1x45A1WOwK+Bfe54PgUOD5M/0pHjaVY/kTFFJ1RCH6f4e/HKB6GDGsMxsAFF+8YVleEcSXw/HD0l/18HzTQgAjTfBYR9xEDw23QZDh0+oC6H+I5i1W0aayqO2lVP2jAm1/jzC3k98h3JzDcg7+b8B3Q0xV185TCM95W4mT6LcJfA7fflKjT/FDLnUH56n3aiTfgLFtlnrrVn9LqAXSHt8O4AxDUD6/4XcTr5Infxnfx4gt4wu+AHoG2HlkM8pf/82Oz96HVreA0DHxfgj73QL9Z5P2F8M3U9yHyE+gmy2Ck+N2NNL0TPf5vadWsWbM7LU+6/OYZ89H0m98rvEa8hn4J9Cqk/kHI81Pke4s2PqF/Yn1AXFU52x8BXPZjAB99KXyvQqOAXuCWh459Hz6KH99KxZXx7DH0y9PA5+Q3HD+ErZC41xlHr+f5Cbi8SL0PIH+LKDdeWhDnuKdxb359qXqKfHeYDkx387yL8u4aBgs0lBlNX74kvYDHFdoI8OVCNyc4zwLPO+T/2HascF348r4bB+yPskjnd3NOkkNQ/P7iG/DwyGME/igEdm/OcWx9TdjBJzDewgK14Qk+P8H/z+NfiPf05cukTcK/g1z9S34Gxy8r48h4/DNjmgtOTowDlLU74LuHKPcMPPNayI9BYgL/g/dy6PvB2Jry73BwjelodSrxgawTPww0YvyP3vDjZifCMbuknD+0Z55Flv5Nngo2IuVXy1WVAW+jGom5dKzIqciMq3YvQRCwAp80VhwXLjIufGfm5w0y20M0r4AayLu/qvY3nsEqRJgvrMN3w/gVORWlH0Xm0Akq+JBR3W7pCWOPJT44yx5XQbBaaN3O3srjgzNYMLQDX6zzy9N8WG+g7HzBS9t4xUpUzBVZt56Y+DK8RqxHb1gf31+V85pe7V4BLueXeLhKjafx+DgN1xXxVZF12NeUqeCkg2lExuNXQr/YX9KRpMRwwr8cWAPeAMJ4+EvNZ37iK7viFcSbr6icxxIKbwFbiS+zD/XleFXme3GJjytGiVaWx5VUnxBJMRzFE4ji+T7s//g4skRK7Es9L/H48xq4kMctF+gcYoN85bJVWc+YVmj78Z4ylucRuACWcqPT/EEk/4qMkycJ2x88qs0FuIQw0ko8HKXCUSmO14iGaTguxec3TV9arg+UseJy+hgfnDMnUBmnMnkxhCF8ks/yPAIXT6sggn+2XVO0CsbBEDaftB+PR6hjhYmkmCtRfsr7Mr7vwwwl5TS2rqCN8oSAhwnH04DXSGDQ2n68JyE+X0Dn8j4I4fEZ0Kqcx22PYuvMCU9MPoAiHn5elxlbA9ugnI6V85q/NvhAFpSHeG8/Ary8EdgP5fzgO9F/OGVE/0fM7yHrksd4c4eQR61wgd4Rnzj8Y4AbX04H+SQWT2BFOikYp8rLkG3NXVUa8GsORQ2UZHbvnbcn0dRPzOrbYbi7pemVVrEPDkirCldMW9+xGuzKWG0V3qqgQ6qOFAVSFEhRIEWBFAVqCQVSYKYoULsoEBjwbJlVnjkkHBZVAGMZM78RbG/dx6z+/3g+zQx5YjUhquGe8DStKtzZVksaXEOaseUb4hw+w6SkejIRTmr8k6qz1wJZdj5TfLKa9KuCMW81W6y12UPeCp+1FpG1AFzc9WtRRe0umkzyEuIaGPB0W0J3fFlZmVs0bqNVFZwJaWDTD7XKsZPh3cAlQ4as8hVvtQq/lQEL7vKQV1fKmyvLWifTMMjEP1JQUFD5OEadxHdFSJX+/ldVemlFzdT6+OLiYvlFWfFZ6/GpTgQyMjL8OFlaOeZVZ1N1ou6y3/+Slq/atGkTjEOQQZ6pE326Okjk5+cH+LOYlBQ8oH6APsGYA85pfgF+yYABA4bhP000X1xc/C6MuQcAXwZsCQkjcCUc3aobpl133XUYzHMkfbPzLrvs8ll1t5dg9Q8rLCz0xg5vSTgH2JKKL+177NaHkEmvoXs52fAH31DelQFvQDqXuHXNAyFMifgcxqDjTSUboi/+maLVgJX2ETTygoFt0a+3I2tDoddK8ydzOgsI3ru/I7ro2mSlw9y5c70x7yBWZY+CBkmnhxo2bPgeuHu16QVJIC9+KKt+2A49kek9uH4p+yUEeB4hSCgPTM/hvc5rMk+/5k8o+BKNXjUMz3Mw0DgMOX8A6gX6x6sPk6J/wPV5vFcz+uMwXmOZNLjLY/S7/eyv7xWwE/EWtPA9qTw4q5uehxbe4z+S96TCXz5YVS9toJODjlc5jiCcVPKyqnSKy+fd0jOg09C4uBR/RSIVaABfeY+8N5l5k8dw35OUXt7E9iv84o8brqFsVaRtLaOjPOAPFn4D3HUaf3jcMec18JxOuFQD3vsth3zyySf3Dxky5L5E8sLEVr3XWv2MoTAY2BIORmBKKJrVFDyDBw9+gBWi7/AT27Zte799VVNtr+t2xJUV+IcRIO9u/3zo0KEPrGuYarJ98UeBqDTzmcA97XtNtp8IbYmzHjq4uPCZ4USAKxFhkDZsc3uV41xW4oclm7ysbp9giD0lX7H7/LZ6dnXLJ0t++SozM1O+mgjN3vc9WXCPx7NBgwb/YSwajf8uGfkFWfHXlCdiIw4D/wfjaVPXwvI4vP40/jfwLgnOwIN48IM/RCSqi2IoCqM+UWFMSrgw4KITJkwI+GhtCFDbyrJtJ87yo762gb/W8KJAArwxyKTDWtdXWytg0AzoUFvhrym4s7KyAjqFfFNT7dbGdtSp8FWExauAZrURhxqGWftAPZSU9GJyLN6hr2HSJ0ZzyItOHkgMgKoRinL9YH9Hag3CKcVfjRyRqjpFgRQFUhSoRgpU8yJRNUK+7qpOjXnrjvapllMUqA0UqDUGfG0gZgrGFAVSFEhRIEWBFAVSFEhRIEWB2kKB2gtnyoCvvX2XgjxFgRQFUhRIUSBFgRQFUhRIUSAJKVAtBnznzp1btmnTpl+fPn3qRar5Lzs7u3mHDh0Obdeunde5pVdXc+DUsGPHjjvQ1iHt27ffuVOnTq1osxvtBWeReFa769GjR31g2AMYDuaZFTYondu2bdsdmm8GTG3DeJ/mI39v4jfu0qULrx27kvd43oXdLOvMA9fmrVu3/gv0bLMyIIC3Hbjti+9ROR8I7QAu+/NsHZ82cODAwS/QYAAAEABJREFUdOK3oezBtLNeXFoabXakzY3KfR/rpXyMnnF5ayRoI8CwATAc2LJly86+r8jD7w3AaU/y9yNPBX4Hr57gegjpm5JWQbapuwv0OJBnL9JqhaN/QLONPN1NHo8DOpO0bPDZWHzw67Tv4uBa7WD//v0zgX8H8NkPfBrFV0A/difuLxChfXw84XTyb9SzZ88mhKvMAUcW7e2P3xVeqlx3FHi2o919srOzm1dZozVcEbi1hZ79wCObpmPyI38R34P0jX127ty5IelJ5RhfmtLHm6BDessLccinOXZAm77QbaPa3P9xOK1yUFkox70PhTLxMQevtCdtY+mC7m4aS0iOQFqrVq164XtDo57wRQPRhhZt4KG94KGuvsd78nWEZhvEx9WScAaysely9EIaePYCp326du3aIh4XaLA58XtX5gvrkGeQt/rx+dckXGGQX5MKKpcRqOLi4pPT0tKuWrx4cePK6VX9np+f36usrOwyvPeAVocxnUYn9AOnO0pKSnYqLS1dTFsdeL8RXO7CBxfq86x2l5ub24H2z8cfn5eXV7nz26anp98I3T+A0TYBmIAWwBwF3l14/wfhpsC9I3kuJ647cevK1YOmJwPDQcCiQrwYJdALYAKYecYcE6UNo9HoxeRrDn6XIiwHkGifNEYIbgCnW3m/k+cbvPclHKHuxsOGDTuL8JaUyyDteoTJu4KjlO+UkZHxAm37+wJv+CTPwzzjjXyK1phLB7a9gOFkWizLzMy8lv7bjvAytCC+XUFBwb3QYz3yH065o8inDKeTdghxJxcVFRUQdzrvx/KUtlHosjU0+AfvZfT/WbwfSNhyPBLXATNdnr47+L65cOFC8ckIoaW/2hF+EHyDPidcm1xm+WCXPnXq1BOQ5/MA/jb8a/BnMBGl/7wH/ArwzIQIFxLfhXSd/akhsdOcOXOW4REzrMRb1klCzHAN88JL60Fvb3O4EHo/hozch+y1Mp22s4DnfMI74Jugcy8hbpnBmbSEd8hXJnJyKHR9GznYH4ADOWjYsGEZODsxuQd6b0Z8bXFVDecm8OOz8MIVGFuxSRw0c7y5Hv0xkPTV5buqhrFG6wPndPhlcxp9Czm4C96PLRhAl4bIy+mk7du8efNkoksUQ/0wZGYofgh0uBO90BTjtCW00kbpAp/cyVgcM9alG7J1Ir7aF3bpj7V19cDFSbwLF6iKdtdS4XvgFut73qPgtzd4ngwPtFq6dOmdZFzfePSpOsbxuRn0+WecEZ9WWFi4GfVsAl+tNb8EyosGq8zl5OQI3LZWSKdWu3EL8X6kra8gYOVfhFwZbqtMODpEY+lqCP4TRub/zZo16yO8d3HeT5sLXbmh/ap2y4M9OnPmzMk09Daw5NF2jLZjxowpnD179hek3YvvTNrVwO0KUwRY84j7mrhP6Q+vHvqI94n4deaAzQHyQPB4PCsr6x36cBED69EITDCDjwMsnYHkX8AOGrO8A/hp3q9Dia6PUGwIPmN5PxR/BGWkiYo0Svw2lNmcPM9Cs1cJf0WeU1CwzRCaLvj7yb8f+fYn7ULCoxjAp/OscQcurcH/RBr+fPr06W/y/ACYzoRGbQjHOw2Pf4FHBsR4FNhfJnwBStTZfzdoeThxT86dO/dtCnnF4/Eol2wURxPSTqKNHynnj548Q/pfaVdFQzBxHQbqTPrwUSD0juMLockAwroi+OV78P2yUaNGn0G3JUaWe2VnleW7vEyNPFzcQLG7G7YPyn4X+q4lfT2eSdnJ9OWphDein7YCGCcqe/GcW69evSH0X0finZRHWrRo0ZR8W/A+fP78+TnkWZGTBhUMdfjBHayTmDw4sYsvl4lM9KGdJ6C3A89ZhPsz0OxKpihpTn63J/wk8fKQk+KD43SfbUl3siS2Y8I0DQPiGXjHu8PvgiZOSqIjRowomjFjhvdIjwLHb8iXH4eJuIljXFTdC44fP34x/f8K/PUh/iTCx4GlPFT622+/TSTuC2j32eTJkxcQHzrpIn3C9zr3ZPFgIePrM/DFl+B/KLJ3BrrIiXAEm2Aa8cOI+3zChAmL4pCv0zTBGO8M3v2Qo3147snzDMaXeSyobMB7b3TGu9CklPiB0gSd04B3x+nvGJNHG5eIHhukIXp5I/TCAeAQjDfwfS7+Z+Ct0Kfk7Uj8teD1gfxBeCZ5rldHQwMXGr/k3d9y8Acf1b0RJsXtyef755MmTVpK+lq5CgCtUU1xhWDqbgC3M1FDeRaBmMLNa/U62tGY1dtQGnCsTyfsDZMdTThYoYNwvHY8iPfdunbt2pz0rQgfiCGzqQORAytx+5ApfoZlfUeASysG2Pc0lI3Q02Hf0Un3zZs3r/JgaHLgMZ6aUv/2+O2of3PaO5s2djGesEdHziQ+tvJLXFve9yb/UYQ3ppKgfygTbEkRtx9tOqMtJm0ZB5yAWfIiT7fyziZ/oGRgxBJoVIxCDmlUgiJqSr0epTlZ2ixTWfVFaJxsBYyFGC4LYOIChHwceG0HnBV2bBCi9YHbFdhRgFMK3RxgG5N/R2b7ExCUFzBYZ+D9MaXh1OGKoQPORoTrLVmyRDoVEx5Le70w+tqgYEaTfxDK5gcG7J+otytp36N8FxOucQdsG9JoV/CcwrNMWHh2o3+MJ/i7gy/bE9qHdH+JrbR+/fq/8l6KPxR6iEMn6BcMrNQ5kbh69PfGhJtTph/1TSBvCe9O3ozbiPeEd+w0lQDkN9DHvroNnujHe4R+TCOuAHxCHeNKySbw/H7IkMfcnMCGaRZZZx6YGiHT24PLX4F3N/qmED+6V69eCxjMhi1YsGAR/TOVtGH4n9BHyn1DwvKvcItroGfg4V3Be1HTpk3HkhDKM8E/XHP+oMGOtHkAbesbKeO0eQO5DkZ2+kHHeFkrrVev3lfotI+YDM1lMvsZ+cbBNy2YdNSj3PaE/RGmJcjNUtofD2w7T5s2rRF8mWVb1LcXbf3Fd8omtENOisFhKHiNQkZuB34XFAKYwbMYH6MrNJSn9iePR9Pc9Qny1fF/6oi3oM/59OshIa7QrAjaKI9BFONHNny1L0+PsDrOyrdBWh38p671rvGn4H13zfYFR8eySDlNQp6JMk51gV/2RB6OhH6BviJvrXOMr83o357gEdgR5QhoXzVChlwA2xeeOAw+qYcec/wqIVwf+qRDk1I9ZdQzURYstiY+2qRJE38AkOjEcvSZ9tDOLFrYt55SWMAY8z1QlqHzXAR18bOQ95gj7368tMboGsMzAn4fg/NO6OhswvWgTai/Ue/pmR7rJbAfeX4up5fF1spXmcCpuAH6OLwrNK5uVFndq4Nhs2bNJN4ZEG8RhJWozyFEO0K4Yt5dob2UwWoJRHSl+t8wXEsMc1fvXYHajgEsJHpkwIABCuj+1DWzcePGsyvDQcd+g49f/auQhXbcTvKozZXQZVPadNv5ceJPM0zcwdR9t7RDUDoC39+pYDYwucV0B/EbyljkO5d8LfBTCO9I2Xr4UGFQ5HdHutucMt2dpO/H+19/T4nEDBniqaIsizRnziqXS6DNLSjhyiu+5UWr9sGsVUPEid4CGF1al4G3x5LaIhDCH2sQOmwEbBrkc4zEsNBgW0j+7q6K0G+BQGlkkN4IxN7iqVPZdsXIlY7ep+yxEmnWUGOJDLYbARaNpC0p9zVxy9CTuGp34NiLPnFQzLUxaLCYvklHQfotQ6zfePcIRTNgVbYi7FzIw3Mp05fyxdSjUW6ZCHQV30Lo1JhwJ/JkkSeon3dx10iRF6UtyevO/VnL0MIfm1uAoXUtuOeA58PIhbSwaIw+8O/e4PhX/K/gvR7l7kKmOphpXXn5CwNwO2A5G7i25Dmc/n2KieOH6JnJQ4YMsS/KwKcruLkC/yn6ZBJ8XQTff0n+bPq9B2kFlP+VgVQjaWPC77Naah8vg1p2dnYD9MuplNseOvxE2YvJ5CJEKWFlIB0aFuHj+b0EY3we+eTDCDA2oY1c6vkCOVOG3IVc1KBBA+F1EmjeTsoXbRwDnNLZ1SdXbJ1EU1XiOuD1SMQccDwXmjjBv6pTp07LfHsCvQ8kzynknww9N4NmT9KnLRMXs6qBDJoU4h8C7w+Ru1sZP92lsPIo8YHMIW8uklxJ+mzi1CN3EdffTHXVg2cGMvEQz3fhhSsw0l1M08aI2TqM1x7RPJs8yucS8j2JDtijttFkvfXW64B83wH8r4DLk/Stq9EZyIQ7hH2J/wnZN00j9hHiTU/D6P2FtDnor/6U8zjgR9DJBSqP/b21Ir21rugD3C5u7MK4eDb4bAzsLqI8gx7+hMXZYKwVNnCJ9bHv5V5+z0U3BDYgumIG8Y2owzH3C963gg4eDV4I30wZNmyYC3AZM2fOHE6+QNfyXCu3PKDWpMIMENwLgEeBuKupCrTnbX0GAr8mla5JGQaZ84BjEatJnwPLs4S/gqBnMigpUPfw3sWz5Hl5eUNQUCqqjfv3759BOANiP0ybgVHIMzJ69GiPdLjlsZhVK418o+O9nRA/EManReioSbQ3GD+X1eZXeL8QOjkI5hG+j/g7ee8L47RDER6E7wgzEFU2D5gzCWwJTBoAG5D3ozlz5ri9O4hGYoqUcAVHvkzq/pA6H6eO6xG8fWHOWB9Qp2EH87ehzz8pfCxlZMQtCZvGo/ocAg5YaZ4bdBUyoB3tO1vPoO8q8CMZ3Ukoo29ifUKc23JOrEIgo4sWLepDfC7l3yZSY3Y4dTpROIEBtxM4e6TLozUVVtmBxbPmedDB1V2K1rwDTo9ELEXAg+008HAVI0K88McD5CpIGv0arLIzKEgzjakGxLlaOg5euYz+1uhzUuKqvMeCrL8AGsr/QX3Qg9dSDbNq7++gwbX4Bx3kEfXLfOD2rGFL8L2KeHfKTHNbsgNpfwX/9+D9MSD3PHRswPsJa9H0WhcFzmzguBk4yujfF9luHzd//nx5UL0R1q+OdBLnGdtrGFDcei079dRT/bnsJ8DLM8l3oX+mgfPh1PUkdbYm3xH09UCMK1e4wro0vpUhj9Z4ZG4qZSZTx0bojpmEXUWaywRiBDzvqlKsXFzAQdjdma+IGw8O1ueEfwny5cRY3lQGNYLVQztRb2/w8xdpb0OmlqcnqarGXBSDYT1oczrP8/D92ZBoziS/PkZ6K+I1JCLQMJNVwYXQ5hR8D3jGY2vKWMBT0Lct8VeC2zvQbhR0v5v3DcHvjBrDZB01BJ7p0MOx8QKev4D7tfCZxmpAG2kJX/wN2oxD3r5u2LChvDqBcpcDsvzCo0ZcTTcSpf9LoYdjt3L1ABPcpuAdG58Ya0/jvQS6DEPG3gBAV2XPge9qZIGM9qrCuWLeB1vkAeTa4zH27b3IxGvww1HYKePBbyg21rXYVZ64GEGjZ7N42ozd7VmE78RrN93Iivvn0GMr/I+UXQIdDqOeI5FLTx6s8/EHuLqjC7TL5tKvL6AjfkHeXewKdB14rMype3PQi0H/U97FgCh41if8CAW/QwSLpiQAABAASURBVE7Wp40b0TVZPLfg/WkWltZn/D4WGuytLJFvjV2VCBsrSK4SHYBA96JzTgOavQB2Q/xRACuSRFW7k+AyhDNBB7CwwQ/ooE6NGjVqA1EHA5OGwK68O7h+D7EPY/VJ5aRwzg8L+ezatatGjys1TZmNavAYXdnbZuW4+HcNrRzaCzqZBFdOF/J05q7RZhsR4MgmLhfhWAqMk/AX4d8Ddj/0XMzMPjxfl0P8CgdJ+kAlW6jwUd9L5L0LvzXxMaOBsCt60sgPt8aTz/ZcRasSfqC+FTqUvcd5HDg9ExfQDnikbR7KwMlNrCzMPhPYNbyDlXkMdVdj65M/oJ8ZMdBb0K+bEPfW5MmTAxphoIzi/QLSG6Nw5cV+hMdQf3z/Wtfe1P8xaTHaEK5RR7+Lo2eQA4Od/g9wBX6ViH0ZwAOOwl7MAKGREZk0aZKTTo3YeSgcVz+voC4nIp7r3wK8FlPHeLw0gY3SgvqJJyqawT9pqMwE9deGf+D5Czi6e+V3Nn8Hh/QlS5b44a8rHt1IE6dI+SAi7uHK4TpBDz4cC+H9+HYivDeQFZ1DUdybIstOTEOYilmN/4AXV689766BmHHNNdeUgu97GAGPMIiORW72Ar9P4ef5PN2pa0xf9qf+SynrJIBHJEJd+cS/Cr80I203wq4YB/1MWKM7za3cIPNy/mGodaOcu5Nveg4cfiyBzgvx9RmE1A/KrLKbRxumPU41uyGrD1HOGybkU6LWjevTp08msDj2TOWpkbUruvt0dMdRvB+JXqwg69DXo0jXQ9O/gOPh0ChI592Vs07EBbt/GCxzSBuJ97IE6bBuEKzBVqFNHjQ7G1rQ1el+BN8IepRitLair/uQprGmLnLM8phjP8bMZjUIYo03Rf9HkevfoIOLCE2gze2EW0OPYOwifRfCTo4DmSPtI7xHr4Ld0RoHeA0bpMO/Q+80QG/tCj5v4N3dfABc/k2/x/gfXnAsf4hmKJKurVcK3/yAfwT/MYulfruTRZnvyHMuflto5PGS02rQNqTZ5TsmIT8CjyccPAVwLLbggdiwfdGD4rL8QuWx0GI2XhoFC4rUo3y4ALcAPexxwxfQ4Y9Dw7nQz4nOK4zfLiydxftSaHIsC8nBNwLlVa72I9YRq10yrgDAaFR+DjM7A3HlWIRU9LGBJS57dQY1eDSKNUaDtiFwLnCpYJZKVBp/Ef8X4jbHX0N6c95PAIfpENuyvP7u/LCJ0Jvk6c7gFW7bE/W769ixY5dVYUI6Vlr8Xqjif+M99yzcGvHroxzGwlTf0+ljGWxceTS9OfENy4ua1zif5VGxRyzOoyLgdwWwu2r/T2Boz2AcpttuUIh4V9H8XkFDL1A6QUI1/cPwLAQmz6Q3Y2DVcPd8byvg+C0rKyv+w7EIk57vic8BDw00P8hVqOyvHwTP2Ss7G54J/rlFixYeHSrFoJdOJdBrWOPGjW+irGfGm9K/L7L6qWK1aIRJp4NzF+rXgA/i1sU/+iQ4Pwd8GlqubkoLhdvV8xhI0Ow3YHWLrreRrMi6su6qjttxEfD9Cb65lrQX8K3J/zIrAzPRqn5k5fnloH74KqA5eSbhq72/aaMqXMi3rrYPhQ4OJBpbW8BDHhXybK4rHx3LG3OS6FntwPgqj1sXjzJ0zmSMv1eQ5ZfoE/tvawbG4zDk3RVSTwZwkceFgtfJ44Q+hi+JykdfcE4nbTh84qRtI8J+AyHP7wbvKxdkjUQYeBxEXAVsx2DxKfk8zxzqeV6jpYMGDVpuvzOx6Ay/7IjMDIWfprAz6YfTHnHTyG3NZMlJoDC7ujYenJYyofiZgegcGvfo0m3oHW+84nXduDFjxpSA90j0wHvIwyvQy9XSN8BLOnzC5M6P0QQupLHn4f14/BmIcym4bw1eBeRfSllpH+geC/Dux2weWwvLGl3nPHSI4Qe9xoP3LSC5Nf5w6CNtPILnTmcP4gJHGfl2sbQLIuroP/AMaIN8jIQWXoDg9yFHE1Y2xNoJtHpIPas+dyHGHdAKtoUZE9iXMU547EXceiLfl+LdcWmBHtobfgjGkhB+3hdBl7HInTwQRkdYzfZYmhOATzbZZBMXLg8mn4tr48jkOBa75Yj3deVcKPkFPh8EHh4JcoF3O+A8HtvOXdEQrqDfw5fypx+ptmRxJZi0Qpvu8IEf8v5Snu4jA7vGY0dzqW8s9kpr8vWgLW0YvyVyx9V8a+RDxb5GhcNCrNRMZ7b1JArzHrzX3L1LmgPMfyGMDMxrtTpXU0MBeg7ib80syi0aV7ldrRvGzMpVSo1kz0m74p4FrD9ByHfJ760lriYEs+h4SFFIT9Ipbq+cyaAQMq4fcvQlbSu2ZwsZNPvRnh/MBquj8eUJS2OviwsGTerSKHcQVLhdwfIctnm+AJYdqetyttp7IwyeW3Xm/j4dvhnvMoEDamfytcUIEJaYIU47Oo+baMAajjAhEeeLeJkOjuaXHpZxkA8UDPB4H3wO6d+Sb3lMSnSVOunwFe1moCRagG8Wg2Vf/PusoOcg9K0wblypbDdx4kS/O3AXYQsgiGKQ7wucYxCIz7OzsxuwqvZPymVTVyGrm34kfC59Ij5kj9jXDcjvlZkfY+jJk8HqmonQ1G2936CR/W7UOvEYRROBRYF3B0YjdAfeR9Lf48QRWhwHb3XDEPTcsddf7img5OmHn4/yeMn3ci9+xxNfhMJ9gsmSg4blviLOj2LlO88mToEuKpDyYon7AG5AjdYDn2BCjoHmTtZzQOyq9YZMUujy4onwwGjijsdHWAVsQaGmxHnczKh17Yvhz2kY6UOB67/I78f4BvBzC5S6/ZJmX4PjpuD7GMDajzwiEYzqxuDhjsqX6FgHQWXUI3DSowH5S+GB+B25xrThDTZLkQ13qzx+1wI95TcS0q4V/JQtjWhAXcAjEmFrO5vJpLKyhDqbkmcAev1MyqVRn4szTakvi3d1xwbA9C66PQ+5Og5e9cifN3VNID44ohJUum7+laDr55UvvrgjsQS6j8YPwztZ9jiTcibtAvzRAY5R9wD7MHDsjvdo2mjo4ATpxAEDBnj2129sOpPHW5zsg3WDXQ20Cm9CgnR1ha15HORD8P4PfOCYGoUP58OrHo04slu3bhovjmlOdJ5HTwXngS1Y1zz4uzgZ8Ay4+XHjEOIcXzXYg7Gf9+fxm7FAFNzyBd02ww9nzIqdp6ZsorsoDFCIfwR/I/iI43Tw8DiueMzr0KHDTuoQdrzqIScbkfYFdkuwAypyxsMjxxD+BJ6YMmTIEBcdc4lzvNdWK6VebQGyJIQrZlL2G7ztLuiz4DQc3FsAWRo+cMCbGa9rwfkt8v3GAOTxY/N4Le1z6HoXanxXf3v1d0/yfunYhWwVU8ZFA3fQG5MptqhIeLVdDLjVLlmxgArNQcQBwrNzGg2TMNCckZlWMXcVvkEYt3sdnNZnMPSWkUchkMaJ5x89zhNhYHqAJgPjHAbSYPMasc+JE2av43sTwk7mfRlHZ0yjjB84ZNFRDzOwXYpR9Q/a2LRp06Yfjh8/XsbcnYIeVdmeZ8zB0Co1BbkxA3EPmR4mcDW0qwMmGTWmZHo/oPXr7DtgmjOA1w+BOzMw/kw7Xvv4FuU8H3sd714pZ5uuvobKJMrAqnJ1e8of4ehJ3Q7wnsP/Ddwuo/zPwO9xFFe0P6YeJxznEX8w6XcxmXHCRbHqdwykHi14mLbdljsGWKaAt1cfFrOi15N476KWbiSV3Ql8xdD9LF42pb/PnDBhQk5eXt6BxB/J+7GU9WaAJ4F8FyYAP8MHTaDvAPKcTZ53wO2OcmOWLJGIyoV2upKmUV+t/Bk0uJJ/bEF6A8n94NYX/jiVrO3B6TaU3hLS2kGLK4lTQZShPPxm4jtw+yewbwfe54DXQncimAj5g0d+PFXKYHE5xlWgRKyH+jyP14Zyp1BuB/zN9MG6Xp0GrZU7jdoGDRpsD/yeA/c7jWDSiZLNg163Ej+ICVC9+fPn++HvjcTVB8db0DsnQbfhlB288hZqPNVBP48+GQv9P6E/e9GH76BP7mFH5Tzg/x+86nniGGCkewRsIkamk7yyJk2aLCLfe+DeGxy3oC8for6Y0YTO8OjUh+Q5k11Dt2f9QLszE34/lB2ELvNs9/HoAvVDwPvwjpOE46lvR8pdRpvKk9fkNh03blwO9B5BmitUJ0HTo8gzEgDfwzuR6EydF1Cfq2sjgMvJFUkJ5wJc5SlgVZ76QSsXRYIxEBzzoK33V78Drbyq1YHVD4vTx44d6+0950KD/9IP7yQcZlUHkFeGanD2px/7M6a422ntRV26dHkc/G9nbJJexUzcHuT9E+TvHnTzmYQXo1PvNXNd8+pXZHQ7+N5Flt0YY8IPtT0P7++J3Ar+Hkl10cgrpj+Fx85WnxPfClrejZ52MaUqSVOddamnfnQirG5BV41GL12LjBzNu+fg1RfnoWefnTdvXvBbFfT9x2PGjNH+E64o48/O4O2ihd/SKHsuSng2fnPy9iPTUHjIXX+CCeVckc9FzkeBr7vzpdh5LcHFCwRm5OTk7IstFxyBJE8uuvJ8fH9kQJvwZ+TjVrApxevS0TGHEviSvC6mEozMRGd7Y952PL1sweNHxq+RVxjXqODKCtHZfiB6BdupfrC1sqxrnQYTTEZIvOXhWhQOY3nwkdilCNsj+GEoZY0htz2DtsigoN3DbMszWRq4I8j3IKtNFY5vBJnL/8GM41DqGldX0pGfMWC9zfsrGO/iV0T4MTrjSrwTlvJSkQhtO5G5GPjOoSMn0dE/kudAwvfzdHXZD9L2ZlvlMzrYlaJbqN8bc/aFEW5GWJYQ7+qQHwfZ/kPkPY+04xEqr1QMGaUMo80zmndT7yUIiLPkWBq4ulryMkqkAKbMo39uoo5rwcMP3f6PdOuKwV0DgVLgfxt6PAy+QzBkHoL+wdlZYBtB/OHEjRIO3mehKO4i7kNwvI73X4n3A+n3oOtu4LE7zwHgvQP4HOfKG3nFXXo/SDvLrMKiaFQmL5AWHD+hvnXpPGbxLTz4AP5TYL8OpWj/RTDgp8Bb/lCEH+cGZ03B/3pwdeZ/P/3mrkkEPozAU/Ogxav07530s5PCGE7w0HjquYeIodDyJvB2JZLXxHbgUQQ9/gddLoDvNcaDSbhQg6e3X1zJIBkMAsoo+Y6EFzRS3wDH5+CpFcq0daxrzwqWuO0Fjo/hNQ5fqQSTE+6x6LghYTx97Xa8H+drVD8Gnk5cw+RgxRk+uAkeOQYZeoj0q0g8Fr5xEHbg2L1x48Z3oVtiOhH+WMoE4j5gUI5CedqRfB6doHikCHq7+/MCMvYRdT1OGfVShHL/gvfuob1RpN1MfDhQWS7hvDwFvE7cL0Qm/PiuLAQS2noE5KIpU6YEk1twnoC8HANuGmXqi6fCvHX1Cb6j0clXwEMvoX+cxASoqleZvN1CHwc6B9maz460t715BtxFpocZWx0Pg/x16R98UQRdxqBfToMXXsU/GeN4AAAQAElEQVSw1YYIUIQO+YzzzyBrwXgF//sd29XooQeg43DoeBO6qcJxyKBgLf6HTvkNXXEq3u9vHkNOXsTWC/RwOVralROgwavl78GDfK9DDyd+I7FRHpd2QUKC/1u8eHEOOuNZ8PU2ocHweWzBhDF4BJO1f4OXl4IENluITnZ2tjs2g8E7Zl/JH9Tl90IuYl6FLvX3e8Iiq/2U0KtdaBUKFAoo+WLKkXC1OAYiDd85MNUcBC0woCGYRur3xI0J4+Iad3apYgqNgZJyWOOyLBuU2ahvNHk/xcAa63t5Lj9+bY5wj8XICIS4PD40uGZRbo4wUWa+YRTAvHi4UZQaXBqdETr0V9Li6/fstzel/EgdExYtWuQHEg6+Qf6wLcosoSxZZs0GRgfXeNqXkCDOYVwhMPyMYhnB00lGWM2qP6sgJzBPBoZxDKrxqxMFxsfHITCLiRvLynuoJMpUGNKS+Lk+9dQVKFZx5X2SaSsAs4S8KtVwxWAF2WouGphnA/MYYI4pB1ovxZj4tbw/eQ1cEXnGmZ+3sD8DmtGXU4lbrivnvTHlvLbcPAkYWQKuc8F/5uLFi53gVeB5+jBHwyKE23cU6jfkd7U60AVhWiI+hR2Z/RWYR4Cn9yhXwA+Y1VU/0HcVJiLiSbkvKOfAEPIA2X935oeXEKHgh0KctLtY4KTVD3ynx8nR7wUikWJWltRJMVmifEyflmcqpU15Udq6cxlEq49o7xfyjxauIDKx/5UgJ/PAZRZwy1MV6KeuAfwYfr7TN9+S34WDgIak11VXpn5AfmaCs2NMjA4iDEMtRe84jvgaKeff4Id54uODxLr1zw93F0oX+NzJXYVxQxtD2oQoQzs/YHS8/hEeqyC7YZ5a/nTRaS5yNIp+99uSynJRoryQFuOVEF9ooywNV67CuFrwdMydC+xzwUldGtqOgl4mX0ALv62Jjw/tP4/hVaAPPDEf3f0pvLTWC2nVZcCLWLL4MmZmM9lWGa5RmSxIp/BMUSBFgRQF1pQCqXIpCqQokKJAigJrR4HAgGero8IqxNpVWT2lExhGZ6NLxvxx/qt6CJCqNVEpkPCyU52EY0s5qfGvTtrWpbpZ5EjxyWp2aAKPeauJSSp7igJVSoGkryzUDRrwhKPB3cDeD5xoPi8vzx+VCG5PGTBgQMLCmWh0qwl4kCLP6Ea6desWrYn2EqmN4uLi2AfEiQRXTcFSWlqq7vCjraTr+3gaIwOBboqPS4UHplemQWFhYcAv0qtyWuq9Ir0yMjICWpWVlSW1bK0KXyxZssSPsWWrCPbBMny3KnXU9jxNmjQJ+EUi1HZc1gT++vXrJxX+9erV8+rvwP5gAS3Nawz/Mnfu3CvxVyWab9iwoTeS+PPhB6DQEhLGRKNZTcAzb948fzhoGwy5XnPmzLly9uzZydM3yAqCcwn82An89wL/K2qC5gnUxpXM+k9mwGgEHc4FrmTq+3gdeSU80B067A0N4uNT4blz42lwJYOOetwblvZNQnmJp8Wfha+En/zBmx7I2NHq2RRvVeClCvRjsuMP9vVCDw+EXsmmh6XFlbm5uZeDuzfabZuE/HIliwMXIzO9oMF+4P+vOi4vXqRyHvh6FXqG96c7g23HQOSv123AM6E8gtkDYL3w3yv1Egq2RKNVDcPj/dXNMeC8H9m7phOSf6qJJuIqXzaAN9ugOHxPJt7cEJz9YTN3x7KhQTLhHo+rdPD+Z3+cIz4+FS4ri6eBusKJjvfSt4V3kk1e4mmxwZ/opA0Z87qRR73aqaSkJEWrirxUmZbylQsJ7aFZMtJKfukB7t7H3yIJ+cU+lwf8/Ys24N8TWlTmkbr0HuLruBPRgPdHfB4cMmTIUYnoWYF3pe9TlNq9iQhfssL0ySefHI3x7nWGXw0dOvTIZKPD0qVLj8Nw9UaOx6VFsuEP7v62wKKCgoLTkhH/sL8ZLLx56snwPfVc/jiSk5NzIjrcHy17JJn5ZVX4IzMz8wzky+sar0O3Hr0qZZI1T/369U9FBv2huruSlQaswB8Lv3zAxPj1ZOSXoqKiE8H/S/jgoSTA/yh2nU4HX6/ALQ7ODqFYXYUnLvEcnQNfRtMxFusBXQAvz5RLDAqkIzTp/fv3D3+1LzGgqgEoGjVqVA/GhC3T/FW5Gmgx4Zrw1xejTLDdhUg44GoKIHlAX1Pt1dZ2mjRpkimdEJik0xWr22dMitOlFb7+6pZNxvzQSXppwwTngpONBsiWuCtXSTkWMeEVf20RbcQ63/2hfhDRWmMQYygmpXDaSSmfokDCUKASIEz+U3JZiSap12UpwNZ2ik+WJctKY1Jj3krJk0pMUSBpKRDqhlpjwCdtT6UQT1EgRYEUBVIUSFGgDlAghUKKAikKVB0FUgZ81dEyVVOKAikKpCiQokCKAikKpCiQokCKAtVOgSo34Fu0aNGsdevWHdq0adOep7fHVDsSq97An+fs3Llzy/bt22/UqVOnVivJnQFuHcizYbt27bp17dq1Be9NBgwY4Dm0lRSr0qTMjh07du3QoUN/ao0/+xZt2bJlU+DpmJ2d3Zy0eJcOzK3sG9OaNWvWAvj7mjc+Uw2Fo7TboW3btt2Bp/HK2iRfE+DsBr6tV5AvnXra0XcNw/QePXrUp8z6xHfnGXyxHaaBewPiuuHXJ64m+4zmluui5f2yAbBV7rMKBUK8oFl7EirIL3xLdJsN2rRpUzktg/o7E78BOFegBXUkrKO/s+j7jsCuLMb3U1pz/sAHlNu3AYF4/ue1brs+ffrUg6/biT+YVsDd/jWeZ1t5hfQ65cRd/OCLDvBHqA+iyH5LcF6fuKxKCKeZtpz4StlW75W2GgFHDxgwezl0zujSpUtH8nRbTtrqNVSDuUPayluG45pWVzcB3/bgVCf5Kg7XZYL2oTQRfxLj9VAEesgHAV0q0YysdduhgpujmzdUFsE0Rhfphbx1KacXSRWcdotyW2HsqpCjFryIu7ZuPKjirT7AOyZVwE+bTD0Un78qwhUaWdsKAbBhvXr1rsvIyHg0LS3tPzy3WNs6a7p8cXHxpmVlZbcWFRVtTtvLnNvEwNL4Gwhux5NnK/JsU1hYeAz4/uPnn39eqfFF3ipzMFAjYD0ZWO9gAhFvAKdlZmZ2TU9PP6OgoOBuFIxGatAusGdSZjPSzl+6dOlmDRo08Hq3u8Fl9yBDzf2LohC3g2ZH0eT20Wj0mHKm57WiA7cW5PMr+wHAfjr49K2YIxJBWXiN5Q30g/hEUChNcnJyvCXmdup+hPyXhMpEHs3Pzz+EOO/OfYQJ0MnrWPFGW7Vq1QvcjqYf5KXToEU28C3j6L8Gubm59vme9OEx0EL+C/KBXz944Vjw3Qp/KvTdlgTlO4P6digpKbmI+PuJu460djxrg2sNTQ5Bzu4Gh+0BWHwiKMrM+vXr94Ivri0tLd0e5RibuJGn+lyC1Dx16lSvTBsAD9wHD/wVsPyIi0fEH5VqD13+Sl8fhgx4tVwQX1f+zZs37xDwewT/KHxxKnhFoUE28nMkvLATMnCa8k984NAfzci3F75pELF6/wJ+q1wEfdMa+p4O/W8n7VHo/Pe4wTwDeAbQ3oGk7bZ48eKTea8Vk+ZFixY1Aead8bdJZ57h5NBxsAM4X0jcEeBUY+Mc7a1zN2vWLOVtV3jufvTQ0QAU4wv0Uyfocgp8d1A5/Uiu+45xdAN08DWMK3chBw/C4/uAtUZ8JvKwB/TYF3qdxVizCfExR74dkdXNiJCneNQKp0yHiwPp2AxbYDvdCP57xkFfH7k4Abx3xx9Jnp5hmuM2eXdHJ3QM46rqGWPEqqgQg3EXgJ9HXU+gTJ/GUPKKNV5rj4PIPwNtGUJZeSWH6EgEw/dscBzIy5vkeZXn6/gv8T1gZhUgwep3CxcuXIzgSN/1oXW8MJRgEP4MjJ8CxT4872MQa0E4MmnSpAJgHE3cIt4nNmzY8DueUeLWZHCj6Jo5jM3u0O4cJhqDUYDvUIv3Hh/EUwXA4w8HT50BvF2BcRD4TiJ8OwIRG0BQJA1RCIdTYg+8fRYlXx/CDppXokTuJXwkT/NkUl9n3nN4XsvzPfxlCxYsWGZSQHyNOIyNxtDgdPBaCB6vgucSGj4bI0FcCP7h8vLy/ka+vcj3HPQbTb/f3K1bt2YoSX8j4VRwHEH8a/hxhP/BYNMK4zaLMs14v4/4m6ntGMr9hWfCu+n8AeRbwO6d89dCq2DiMX78+ELoNBp8iqHdiPnz5+eSL2kcA8VC8H+HfiyA169hUNw3RD4rK2sa4Umk/YLhoS7mtfY6dMUG8PG+PBsj6y3BZFP8f+n7p/FvEfb2CQfS9iwevQXeh8MTsYUjJvV/Id+iOfyRd5UdK4ut4DeNknjdannb2wKZWki9l9DeS0SeQ9savlFg7Uzc3+if0fjnSdOYUbcRTGw3bdq0hfDTYPxScLsZXPqVQ1w6d+7ciYS9cnrC7Nmz5xJOGodBqry9BU0aQJsb0LexBS/4YCr6aTJp46XfyohS29NYOKkPT+yL3xK52hV8BuMvlAY8r2Ssac+41Yz3gXhtkAXQ5p+kBXYmemp96LTz0qVLvQKxhPiEd+DTGnzPA+6zANYxuQz5LiDcFxzb8wwcuqIveU7HUH+ZiAxkf5/yhcEoi259yNuEcpNIq1IXELYqaszOzvZHfY6lw8bA5B+jL19jRrqgKupeWR0SqTl/tN+AR3OI3UZG892wijgSicRWqGCiRsbriQ8NRldxGtEJHVH+9SB2Pmll+AqOdI+rXEz68zNnzhzDAJmnJ/w1eD9K2XDFokK58peog5AwCpuMUT4gBduTwNWWOBmkPHskA4FoijHeySeRYV+laZCTtyVwFOBLSavgxowZU0j8bAy9wTDVZkxKLqJ+DdoyZo4y3xLSCjDoVdRLgT2oE8VU4RhKhUqr7gWQottQXQMCk7HR5gHrGN73A68KEyBpRdqp5PuaASQHg98Be2MmhjuRXxcFj22En5fxeJ10mo0gPUXf/AgvvkN5jVqPO9Vr1qzZZOLfXrhw4W8I1Cv42fhCC64LT39kg+Pm4DAOmclF8D8Dnq3os9gMXrigTQvwcMVxCAbrYsqMoEw7jPqBPHuR1psyGm15hH+kDn8ldjPy5sFD70LnceD9CfHfwKfrDF9xWQ1fzERrAfg4Ue1MX94e8jHhUmiwCJ4opr5ABkxTrvXKGPF11ZUqD+D/HfwyAfpczopPsGOITJcQX0Afq8MCuqgj1YPQp606KMGJko6ebQKc/ejHC8HDHYZ85LYIo+FEcM3Af9GkSZNXMCS/p599d1JezIJELmlF+E7g6M7W1jw79OrV6wOeKzIY0qmjebnuc4IQ5b0BeuUUeGwPYHF3MzZ+9O/fP436J0H3F2bMmPETMvcsdY8krjdPxxNXHhuif360j4j/BH+ouoz09BYtWjQDrzY+eVdX8UgYVwK9nQyPhYfy8A+hO6SlABbxbzHeBYaAltJJvURftYe3HF+i5xmw8AAAEABJREFUpNdFV2Jfojt/pN+n0J9Xgu/GIBqlX9U/S6CV8hbQRfuD8bm1HtrIP2StnU5csFM6IR+HYs9dAxbdoMFCxpz3GU/ewvYZjZw8TnwkMzOzEzLq9cruUC2Gl2aQdyP0TwZy1AQaHYcfxALEfPMnsM8EXrqv48n0+f/h88DxRsZQJ66lyPxv4DET+GP8TnoH3htNnjw5hzRlpDO7WJnIR3PosgX0+p/jO3mq1FWZAsnPz+8CkA2B7gqU33Moqb0Iq9B4VJtLw0DZHmV535IlSwayCnIywvUwM+bTGfhdPbkEhnqmQ4cObtl4Xm19IDkCAh+Avw7hcmUkijA6MzwRQu9K/GHk8RcWA2EkHHN00vG8ODi64k7wD4ch9iXlJ/8RUzGEEGiAnQ+sDwLTXjDFxdDpCWDbEbp5lORemP1KmL2eihH67Uh9++EPwjvrDxQG+bcHt7+S15WdY4C3lPLLTDaIqw+8n/J05rh3JBI5AoiCCQZlYowHHFHee1LnxeR9gXr/BdO1IG+1OHCrTx/1wS9kJu6gQPNlc/nXmT6Uf2LtQqv+wNSQvK4qRho3bpxH4hx8sGIOjXoD71bg4ACtIhWvEhTLRAQpNnkkXYEaSx8UsnrrBMZjNyqZfan7SfL/RJ3rxKEMNgKGNHjBXRGV4Dze64N3OHAGcCFf2cS5Av2rEfBbDs9Z+O2gnXeyN6NcMFiQLwefz3tX0kuc0MHrjVHCu8ETY5CTN4mvFQ7covTfr/irwGdLgL6uBUYQT5397TMCbv4a30nk3428Z0Cv08onvkF6HfwXpS8j4HopOM/AX4KxFdui5T2gDQNREwaSQ5CT/aHfcfDFjfDCBolGDw0F9LDfpQwARo8kbglunzdq1OhajIRP0A0a0eK3M7gNYlXrLPuXCYsG+6/gVp/JrL/GqY77Dd2wHnrTY3dPDxkyRN2wXJShxR7wypmU3w9ZfAAY+iKL7vi4m9ybOnbHSIstLIwYMaKIgXysBl1YIfDMBVYXEJw8eYxnEcaLOscjTRp8HdkZcXVyV3TaQeTdi+c/mZQk3BEnYFPeNNCuoB9ywf9+Jn9OkETXsSLgK+jbBv19In5f+NCjexdj8YT5zFvnPDxSDE08iqjuvRid07YcyYAmhuVJDNSB0HE/vJPP6+Ap7Q6Ta4sPvikBv02xpQ5CHg6mjyPokHuRxXsxRH/h6WpyvI3kQsIs+NrxdTqItqGcdtRI6JEOH+2JTHzHWPsjaQnryr9dOR5YTwZfT2JcxULBA+yuxHYz6Vd/ADXW5+XI/MZzEX3dFT5pif+NBYUSbD2PzkxDZwTjNnmq1FWZAU8HjQfoc0DuNCCcgFL7F8qxuhm3DIFaSHuegXbm54rqJ7wfDhyLYKD/AFMm4b0cIIg/n/dSOudTnq5U3oTSaUUdRwNvFCP2DfK8T5ozagcMXmNOI6kX+ZYymLgSEUswwECyVG94eZ7BoYB2VOhbA8906nmSZxeeR/EcShmP4xwHs7dhQHGA3Qc4xsNEn/PUeDsEWLuQ91reR/H0CM93hDMIV2YmqotESEOe6r9N+ouRSORsmGtHnpUd2aIl/HsZWB4i7wko5f0qZ6qqd3DzR7mcIDirDVYIoYuDcBaGZYUJH/C0By7zBIMhCsXJikZ/E2jRmvQ9SX+J8vJAlKdpFUAFF4/bNCDvEAdfEzHk68MbO1PWX/HblcHIAdukGvfALI754O4KTgQ+CVfHK6xokc/VwQwUqasAESZCxcBvmZbwyBTSpedx0oU6XNWXxq6miRPF0nuTx+3MXeiDYDJoQqJ7+k3eBvS0zwhfAc5HQqsTwVndFUxcNejJoN6RT5SL98HrQHRS7GgJ73XOQY9M/Cz8rSCXDb6XwduuSJfA30RFIug6FzK2h17S5Cki28AM50szwqvuqjknes8dp5toZhtgHQouzzBwDg8n3AyAGga3guvJ5HkGPjgOPvBblhLw+Yj4X/AeY3kI3H8hzwDyfMykfz4ysT1GqEdvKugX8kQo60LIXOj0OuV7EXcA4SmERxMejyx9tHDhQg02Xpd1KNjOtLMYeF3UUVe1J1cOBrvhCHypPNcDJnWOO2iOM+rkUbQdbwBRLGFcOvB6ZOYfQOSK60XQrxXh0DkWuujUjXxvQivHDo8UnBFmqItP8NSWmEp/34TvSd9eiIFGMBrrR3jHRcHNGUffw3vMy++ZzsUWChZXagNdkBePpR4FYheA8wLwGMRu02sslk5dDvzygsd4h7GoNBNDdxHlnqWMk+08nrdDow2opwlj8ScYyN0Zb3dhLHcxajnVrdso5N1J6J7oIE8xvA3eGuZ/ClSTJk08eu03MQPIrE5+iwUFj9q1p87h4NwT+2vXrl27Oi6TpWpcWtVUE4lMnTo1HyU7BaX7BYrpRuqdw3MHntXpyiC0q7MzYRCPRkxEqL6lwTwE6WdWSX7mfRzvDTG6nS2r4D3zrYH8JfDdRnoLmMzVlrEwqNs+GtfOICn2hxs4cKCTBZVyGisnfySsYoiZp6vHU8i+GIYex0A7DkafDNwLgNMzyx4TSCNNY7M78X4c0xX4NNpfoNwn4Howz+ZMNEYyC84lzTKBEUP8Mo46ok4qoMVDtPU97/dTRzvKLSWzhpEDjGe6xjGj/hoYnyffF6R5xKXyBIbotXfQXHg9+hOrH7g8V1qIgEvf+EacSLnqE/ApvOVTuBk3ig8F1sDw5+nA6zn+vpUGGg2Yg0n/DNxiq+zwagF9/gH+76QpZEfSqHXzqFkHDPJFrFHeAyMDOmmwSKsgjXf7rBTExT8iLcjramMB/OMK5A1k7E/cJeTVcG0EXUOcnbS68qGRO5f0M5o3b55wq3/Av4yjf6SBk7NS+vAlcLqFTGfDw7uRFkzY4G8HkG15/4E8eaxEe6TBRQR308hedx30SIcXvgL3W/CHMVicC7alhAOjAnl3MSMHfYGIz5wD3TyzvSXGr7szZE0MRx+Oh3fvAZ80wocC90ZAFtMRhEvAk+6d9QP9+wD5XKzxu5YIRsM0jIfn0Z2vMZD+l/Iu6OSwev8Dev8MZGYb/BHsXsbOLlNf4Mir3HxB+p7U6e5gfXSmK/YuahQhWxrvAS2DAnH/3C3l9VD8q8LA0wUaJ5ERdr189V0crMs6vifyRlbm/oEM+u2GdROVWA46BDoG48Vjeufz/hf64wh4ysmIO9muMErL0Y6ZdIrfJg2n/w7t1q1brdAra0pxcEyHLsOhiRckHMsK9WnEOQ6FY9fx0GmevKon7HcQWzHBq7Cjuqbt10Q57Lil8Ofr4PUx7e2G3wujfrmGJzt8bcnXBTl6C7lxjCpG0XxK3Ivg7qUJ2lLbQq9v0D0dkNEbSOtI+MxEW0QAz0jLli1HAffFeHfEb0ZnHEectoXJK/QuNCAHLyEng+jr5/AF1LEHdHwOXbsROGuvtMJ2u6UqJ3PVYbSUwQDO1P5HpwXGyAqxroYEFPHyai0j3rPtHjP4Hwz2Nv5FFPyTrEZqPLakUKC0eOo0GnzG/KBBg0roBAfKLOpyVh1LKw9oTK0UX+gRa4N2NUzLi/7xoNPdtmlI3kLyfAxTvIki+C/wuhLv7FA8YvX8UXLFIQYXt388gpAPDo/DZB0QIAeUyoVILp1N2mrVX7mSlb3DG85sncg0QZill225RT0HRtdojRWH+cfy4qp7c54RjJB6AOhHMm5La4A4eN5DnNua3kBzPn0TThozmfHuT1oONPTsvArWtqwqOEMMXVXErkq2ZzAWFtNq1NPf4+nr+sAZrNBAA5WF57vtsxgspDtRXULfuLIRgY5ZhB1IpVEJg8p7rDa6InkL9blD9Bm0cBXNOsqYtOTDQ57dvYH0LBRMAxNqmS+GDo9Cs/fwV4NHNxRiMXyi7MlD7lpoPBWSby55aiOOq9MloZ6y/18G55vhCT8q09iS301vSZx0CHQ9sj+DfB69WSf8viLk4OclyPdnyKSr8B8C5z6sWl2O4bBD+YAXym7Qv6R/Tf+682aVZRoPGpOs5DeHLzYm7Wv43zKnY1y4Oi7eJ5g5zruYswt5j4CHvuXpyvsq0YUdsAbz5s07jjJfoV+s37as2pX75sAd1EO63yrNLyoqWihu0F6+9cachzEO1GGWSSgPzPKNMJUx0R8KPe/h5VyeA/AF4OIY5BgVGusubrkz6CUBAd7kr8uumD5/nr68G1o5rh7CU3lz17sJ8qYud+KmnGnAZsKv6qjaQpNSbIapyOMTyI6LnBHg/yer5sexgt6RsbKeiGjYIjde6PER448r1QHOpBVTNhca5ZPuseR5hEdT15HQKZ26hsBH3oLXg7wJ5Zh4FzpOIqsPoj+uoI89incDOij8KHVl8BaXT/gjlPV0wDuM536Xszt4L6Ze7ZBNCXtD3MrqWeW0QKmvcu4VZ/RDzI7MxjzIH6WTPYu4FCQ+XXGRqkuBIPBGRqBAYRifsTNKMIoGuluYc8jn6vrVKNdeGHfr5+bmHpiVleXseR7ltlIpY1TWQwA1BDyPbV0xQCn/BC/TqPMEBhfv+gzSZWSYewt8Kzq6Mb7fCmaX5nfLKcoqDNWUpVNnwPS8mOaWrsI+HRj6sj27DzTtSH2bAu/mML4TiNYwhR9niZfXW6Vh6AsroP3hqE8a1A9jYJ5J1Pk32vNGko1Z7Q5WL8mXQXxMIEnvStxnlFuegU/0Wrti8PiSNrKgQbMePXrYtueXv6ATc+mbLAa23uDbCKXgtpRGdj9a9XpMmT8X/D+h7G301QkMJl4XeRmCNgZ/Bfk+six9sR+4rAdun7Zp08Ztuy2zs7ObQcvG5av0abxr2LhK9jWCG9CD8jXqoMVP0MIPYtajYXnAG3QmIDseA8gEj03cdqP/5LuPwXEX8nmmMJtwFJr51TtRkQirAOLg9wGuXj6EQZPTv39/JzLuPjmAuJLtoPsVvOUKQ1Aukf81bdqUbowqE4GcODCA9x1E+r3JNsgvbFA4g36eCi1dLUpjd8vvJrLI57GRREZvbWFrwEQspsN79+7tCvZj0MIBQh2mQTGMRvoiV+EKoEe2nPTNID4RncbRl+g9dxTeok/9QHtP5NYP7DcA4AxwyUJfq3898kjU7w5d4gq6t878yIRgCvo9E1p4da4TYlfV1ZPKWFAAve3NENchf+OQI78n0fBqgO6WdubzYoMm8lNQoPyf8oj+9FuqpZQdCzw9GQ/62z5Z/GC+CXpJets3W5Lnc3gxF1nejXaeASePJ2gAq8cpkjgO2BAt1UpGIG/oxUJgdpHjYxL2ht9K2e2YT9hbRvYGdy9eSAc/JyrDMPxi3x4lDlZVAwk4ZzD22KdBhewE3U7fepxrOyLknQh5PoWGm8K/6lzHc22isdBNQ55stcshR3MZe56if52sLELZHsrEdUPGaA1bj0y5+5vDmNtXGQA75YZHxOuc+0GPDVko/YgId/q9Ec2jn5AtsH2C8Ze0RHPiEGX8nMbE4yb4/xH0TVsWB4I+Fl4rqQcAABAASURBVFj0inyg9zXep7Oo5C1Yedgo3zGOQ4JoYIehH9RD8oh6KL7MGoeXB8CaVOa55r+A6J0oqdPo5H3poa/paD/sWZP6VrWMxFmPtpqiMDvARI2IUOGnwXDtUfpOJNoQ1wql46qBqx+9SHuYBq6nXBRDxjNtTxO3D4bw5QiaH7h6vro3yqkCg9GZE6nrPMp1xF8BrscgqPsj1HvSoSWEvTFjE/I8Qj1e1RdbjRA2ynhespT8XREMV1I95uA1RQ5G2ZTLBY6NSfeKvPfIfxWMcz91+zV0Iczgx5oaJZdRn9dZOlCX0laF853A7eqsg11vBQ1cg37GIB5B/W6xT8TwCRQ0bY4k3cmHH8u6QvU5/efVjkRXjwMvr68cBiz7LVq0yBUwB94XWSVeSj/2JP5mlGBPWnfXw3NlHVAOexP/F/z15JvAittCBGyKHhqpHGfz9BiVN+t4Du0flN+H/K4g3EmbR1O3OO8AHZ1RH4egDYS2U6H3u+QNV50I1pzDIJ0HDC8Cn5O0XYF3S3B/mPjZTITl3fuB0zvQi8h3G/k06jVSvG/2Xmjh0ZhMjIxO8J/47kiee+HVEWDhyru7Nn5IdTr86hEsVz2epVw+6QntBgwYkAHuG4LPhgDq9zT2n8eHJkCnm+Hdn0jPgAdcXX2EPDuC47HE+QGZca8QVxddOnh2gwa9oU1fdIEGZ2TIkCGwdvEdxL8BD4UT8KchwDzeTyCfK0HeVvMY/OXH4CQlptNwRF+NhK+fZFwZho7rgfzeBQ4Xgssx+Hz0lHIbIpDBAOukvRiDwRXxMlbDPJ7mLVTeAiHfDyZzTM7RgUXQyjHqQOo6AH5y56ov+qArYY9ebkzbh5WWlgb0pWzE1Uf462Do7vG7wyj/f8ByB+97LVmyREPWo4p+Y7ULetixxA8fn6Iej9EcRr7jwEW9/znh8IibVSeCd0eiE/g4RnYPFzgYq1xdvxWavAe+mbwvIc8jvDuxPkfdjG6SRneARLASzbMuuXRsiR7g2xW8N6Zfs0ROHuX9ZmjyNu8B3gjgw+TLob+PR0b9vmIz0h9C34a7RWStfQ59MZMx5Q3spWeA3qOtZ4Cnq+/Hw8f/R5wyoI4O5AueyGY83pv4QY7VPDVcP+TZBP73uONMeMYPYYlKHAfcW+IdK0+j//Snone0s6LYkC4CpGGYOynLBP8u8II/ShVDgHePPm8Ebv8D76X0u7vB2l2ttXWId/LrUbpYmbUJBIbd2lRQXtbB4jUYdRAAToap36HDPUstwuVZqudBe7No92yI+RmEdlXaa/jOI+wqtjOe62j5LozzIrZFnAkeBMPdq4eR3mDVsqBx48aeU/Osn+fSh1DnaeDwMIrKM10U/8MxqFj/2cR4/7tnyAsQ2uHMUkcq0KzMuLr1KMzbiMHHVU+yRtxKc/VzEO0eS7vzKeMZqfNIvJP2iC4bCx6HEf4Bo3sRYbfD/07CS9Tll98/LFiwwNsNziPPrfifiH+YfEeSx49g7QOq+92R/j+UiOf0VCzOKIMEaDCYtv8PnB2sIgxGN1L+XuoyzxBgu9t2gszV9I+BVQX3IO2OBM5C/H0oB6+S9JsGZ/R30H/B8Q/gdTB+iLwer3kQvnoNsCrgyoCrIrgQWjjoup37A+F/gOdVPJ0MXE19t7s6RN6vKf8ubc6HPsPB+0mEbF1ea1XESqA4vQWOGgB3Qh9XTUunTJniMZAb4EWN8Qi8NxY+/xd+MfC/06xZM5VpKYNLffBzcjiN593Q7H/g6Gq8t9q4uv8idHD3aQJ1PQqtA9qSJ6EdBmmU/vIDQ7fw7eMQ3jJwdBfHbX0nIp6Pdnvyb9DF95mU+w8LCE7swjJ16RlFTgvA8Xr416skY3oc3plJ2g3wvt/HRKHTBN4vgGeUNe8nVtbkrwoylKjE8cNz9PBccP0GHDQUJtDHn2Gkvxmvpxg46yHPfhf0ojq9HB/1/9WEveVqGEb6k4RjDrn3pqZTqPc+6hyM/LmieCUrq+Og63+J82jeYNqP6Qd0fAn09Havs5Gl65Grm3i68/cQ+fKhfy609/KE75HFubR5JWPDb8Tnk88r6bzswSt0H0QO1XkxeBIhAD7S5DHwHwUejgkBWODgbwucQbrjm8cZv4NuR0GzccS5Sv8YvPZDkLnu/QvkDZpcB85j6Nd4eZtB/A2M+y5KRejnX3i/ABJ4hbH57mTMGs674zCP2u283Y3+nk2/Pw1/nAJP38L7jfiLwEwdzCNwrrZ7zWRMb8PvQ5EpP0RvAh1vR/4SbheQvnXM+Aa84v1I8PsWHRTYg+TRPvsXcRX0iVgj766uD2es9piwUSXg/C74intnwuchS+4em7bWXgZb60qowAF1FgL8MsC9DRNLhGo33m0XpTkZAfmWtn9lJc5zRqMJf8fg7fbHbNJGwTg/liv74IpB3l8gzxcwkIO9Rw8KiPuSuGeobyzEH2F56l+e0JWSj+yzPubpTQkfxuOLMbYEAR4Nc39J/RqdVBNR4eVCmzGU+Y74acA10zAVud07l6c/kPEd7Y9z0OI9j/xDySNMGqYBPSk7n3i/jn4fg/Rn0r8wL40EM1+eno9eYj2kj+IpI8UP1sXiFg5y0sU6wPlV6vmB+gOaWE91euBaQntf4geDj6uBAa3L+3Aos9VwK9Y+m0C+j8mnMgjoEA+bM11w+JU8rriVUvdk+mQkfkToqVc6eLbP83ivk/dNDORfawrfeHgrhzEKCoHnR3D4AHhVamF/eR7v3fI4iwVyRl5pNibsQ3jJ84Zf8hxlf5IxxgviR35/l+El06nLD+di6eRNZFdkH8HHXj82AUBDuhCMBHxBXwcfDRJRBH5ebzaI52eU8RuC2oIn4K+WKwa/qXjle2x5n4YVlBE/byF/RIi/uzDTkJ13kPH3yCt/LSND5E1op4yDwyfw8gvg8ZPv8QDLB/gP8CE/BMnkn41/Fv96uWwE8eE/ZI6kWRrpXsCgDvmf8mg9tDMM79neQDeVlylBpn4hPqZboOlIKplNekBvdM1i3r33+bPyNo0vJp+/xfAxdX8ALuqyeH6m+Dp3ZcAuHYJxCDwrjAXltBJPAS0FhznEvYr/kLx+oxNPJ/PUFV9Mn01BrkbxHIt+CW/3Ej+/+ZuLuIUr7I4/U6BNMEbDB9Ir0fpZuNfYiz94+TsHI+HpQA6I085y/A3qBX9tncorzUXIzTDSnsD7rUjC8Yu2EbB9xdMTJKH/Ch7/Tr0Acn4/N5337/Xwg7tTRP/uoMc443mL4Qat8oj7kOcj5NeWi6WRb61cVRnwawVEXSq8ZMkSz5jPhKETkkHrEq1TuKwKBVJ5UhRIUSBFgRQFUhRIUaCuUSBlwFdxjzLTms1M3Y8vgyMMVVx9qroUBVIUSFEgRYEUBWqGAqlWUhRIUSBhKRAY8Onp6W7xJSyQZfylpaW5DZXQcJYTsDbAWA7q2j/ol7Ju3bpV2ZbQ2kNUMzXk5+eLM5xZ5rNmGk2gVqLRaMDnxcXFSYl/2BUyQBhOPVdMAfhE/e23QAHfrDhnKkWdKhXgrYBmhlN+pRTwhhP1UFLyVsOGDcUbdknOsUjOEHnGJHnA1zrt1Q/gap9HNOC92aH1nnvuuf5uu+3WLcF8N4DtArDe8dwe2BISRuBKOLpVN0y77rqr1x56J3ujhQsXdktU/qkOOogrfOkX9/V5tt599927Vkc7iVrngAEDvDHJW5SY+6ev53uiwlpdcO20007r6xk4GpWWlrYyXF1t1fZ6lZeMjAx/OyMp5WV1+k9aYX10hq+8Sazj9ttvn1S6ZXVoZV4mht6y5fV+HXbYYYekG4fll6VLlypb/sZNi2Qbi8SfQcjfU/AWpDZ1XV7EN9QP6IioBnxjBqCTCgsLnywpKUk4X1RU9CDweV/uiQD8RCLCmIww0RdP4f2xgs3po8cSlX+qo2/EFaXhLTr+Yu5RDCJPVUc7iVonCsS+v5Kntwl4vVzC6Y3faVd9+oyJ21P4J1lc6Is/2nB1t1lb6y+Xl/vgly7ojOOSTV5Wp9+glXeu3wWt+sJT/8jMzEwq3bI6tDIvtsH90Kof/jQmiUmnh8r5xSt0d4YGe0OTpOIX8YcHHkAHez2uN/zVaR4AX2++uZO+3gQbJEMD3l+KCq5RJNK7sxPK0zGXAdc3KP5n6KjzCScUfEkMz/n0zSf0i/ce2y/6ZOkbcb+QAdabJF6GDv9MMj7wylXv51d3XAUPJBv+IZ/LB2Po/1fp/2Ti/xD/VX1Kp0ugkb/Q/SL0SlZ+WVV6XQ2N/GG6+3mmaBWJrJBu6OAr0D/fQycNmxXmg/dWP20l7SZYfRdAg8+AyWuyk45f6PtLwf07aPACYa/wrMt97ThzDbiOZrJWrAFfwsvkIUOGfJOIHgH1vlmvaJoKfCPwCQlnssH1ySefeDe5VygtQmi+TTb8mQk7cfHKuhnSItnwp89/QWkWs/syNtlwj8cXGnilnLoppZdWMoagx/3BsaU8pyWjvMTzzJ+F4Slp5eR4UopWK7dLWHXXPvB3MSb+GV3ranqDBg1GoY/9gaA5ycgvLOw6gVsMDaYnA/7qB/RoDviWacD7U/KxH2wgMeEcgEaZZAhrQsNZxYSrFdXRL9GcnJyk65eGDRuG/Jh0uMuY9rtPBlDpYDDlUxRYIQWY8AZ8EvLNCjOmEvzQN9ApGCYBzVIk+VMKaB9IM/2fZq5rGfLz88VbGiQtv6hX8EmBP3rBvrbPg49Y6xo/p/BJUSBFgRQFkpwCKfRTFEhRIEWBFAXqMgWSYsZSlzswhVuKAikKpCiQokCKAikKpChQZRRIVVQrKJAy4Ct2U7AtUTGqVrwJt35NgbWsfk3Lp8qlKJCiQIoCKQqkKJCiQIoCKQrUEAWq3IDv0aNH/fbt22/Url27I/HbVDMe0Y4dO+5AO3e1bdt208ptdenSpSNpL3bo0GGLymlx7+nAuwv+XuryTtm4pOUHxZF6++L/hj+Pto+l/FaU33P5JaontlmzZi1o+wphoO2GYSutW7du0qZNm53A++/AtQvxGfjAkbcteQ/EH0VaH/zOxN2N3yjIUEP/unXr1ow25ZGzW7VqtSXNZuJDF//MJN/WwHkWz78Ad1Z8YufOnXsQfwrpp0OLQ0mTp6PQwL63/lOgxd62R1roMsnfB/ocl52d3SCMXFdP4GsMLHuDx7n43eWvFcCSRr7ewH46/nBwbxnmo1wj4vbleQp5Du3UqZO8HD8pSyOuFXn2g04H82wTlk3UJ3Sxb+3DI+jPDiGc4N0QHLYFh7/i9xGvMC0ZnuDchn7+C/38N+iyITjH+pm43sjIETwPbdmypTxAcp1wgUyD+4XgdhM4bg9Wgc7o3Lmz/LAnPHEGaep6f9uE5EhE+abMAHhkTWgRo2tQ2R//Ap1EH9xEm1fz7EtSqGMDOIk7GhjPon96kqZO4pHYDlg7gM9B0OsEZQ9oQ/wzwKcvtD0WH+oWkpPCRaEJ6Ldz7DmJQDf5AcYJAAAQAElEQVSwDukSgVYb0c9HQ5eDpR9pddE5dmwI7toMx0uPOCSVhW3A/zh85XE2LludCUbp82z8CeD7d/xxzfkDO22KAdDmdPjAKz0D3US8rh75d1lDHWT5FfoqVSwMGE1zcnL+TmuHlpaWjisqKhpDuNrcwIED02gns6ysbMdoNNqqckPE5ZP2v5KSkgWV0+LeFcbW5NulsLCwgnEYlycW1LgCx+Oo+0z8dBJeT09P/4nyh9DOWbzXmGvUqFE6MPSl7c2gdawv586duyQtLW0KtNmK9CcRvH0BKhhgmjRpsgg4G5DWE7hn8WxA+Z15xoxB8larg5FbQcOLabM+bQ/NyMg4Ghh3otEYDoQDR/xeBI4An895bl1cXHyRgzLhiAM3eJ9AeD/q8U56f1yojPo7ZWZmnk3cPNLfA88eS5YsCY31KOntSDsHOlycl5cX0IU61omTn+ij44FnU+B8j/A+ubm5RwPMMnChHLYF5muh2/ekt4EWl0kLBpAsyp9GfBfS3yacRtpZLVq0aEo+nUp2F+KuJi0d/8XMmTO92cm0hPX169efBj1y6PtLMzMzLwSfZgI7derUAuJmgMch+PnTpk1bZHyyePpuEfhPp79PRnYeZRDpFeKen58/g/iu0KVpVlbWvDC+tj7h7dbogPUZANcD5/PAqwX4yef3E7c7eKUh43vAJ7sgP1/B/9e3b99eo5mkSAS570/cetBlcRCxiv/ULQzETo4ql0ij3X7AcSi+iMSted5PH/Qj7IJSK+A8l7gocH4FTNeRvz9pCe/QL/Ogo3J1PDjcAdz+WJ9wl0DjyeCzM7Rs1bBhwzlGJokvmz179gLoMpM+PZvnw0xuuoe4I38z0KvdoU3Dxo0br8zOCIvUxmcpOE4Dd/Xs9fDGlfBGuABUDE/MhzbbkWdW165d82ojgqsKc3Z2dn36el/wPZDnPvg+8EAJ9NiBOs4k/gtk/jBkyUVJoiIuum1CYD3kZrV0EGX+1C1jMP1piRVnyKhXr573Q+9EBz8+Z86cb+fPn1/lAMc3P2jQIHin5CfamwFzlcWnGZ48efIChO8O/K++l/tonz596hEOcZcBf6H8XOopJn6lDuNqW/IeT8e9xkD63qxZsybOmDFjBAbGPcSPKK97pXXEJTp5iHtdNti/f39ncvrKiZkMGgrUt7S7tFJiiXCBzzswVAFpl8Bgm/GMjh8/3vdJxI+DoXLB4wfiZ8OEPGrERem0rYFtY1p7n75xkjeR8OEMmP6aGsHfnYMocHp/9Jjp06d/i2A8TcrxDMbBbguDym6kNyD+HGhwKs9HSS8jvittbE4bv8CDTmSmgmfvxYsX2+9l7FzMJm0UeYt5LsM3xNeYYyLjpOMAGvwKHMeBz7vAOhAFEA6eJEUiGDGNSPM3ESZAs8/J8x4J+2Kg7MTEszn4q0BmMXmbTlh6rgc9nJC6YrAZZc/CvwFfvIFszqSsxgePxHUY6vlLly79HLi9svNQDPpTyqEtpd9mg+dP0OE34mJy64SI92UmP8TVJVeozgH3j0GqA/S5lF2sToQjCxcuzCN+PLQZD/3i9UJmuS4xW6L7KItBndFvByPHx9DXPfEt4OcX4d+rAd67kEeD9zH0tws4m4LvUhY01GVNiFe3uDrqLwbvyPuH6IGVjUXp5Xo71McZGCP70R5rRANdzQ/jaToSvEPjR5DDa3ieR9slPLclMR14t+e9N/r0U8aHr4gbT9pf1WWEdY476iHDCeXHjBlTyDjmlXxDAcydDHcXGhEuk37QcSy4MYQEYwjRkUg5Ty1vfArS68i/Qvrya/D/H/isD19cihHfnnCkadOmufCmenvipEmTKsjbgAED6oweQu7yWPj6EBp8Aw/sAe4nYsy6e13WoEGDucT9gv3ndeQxXWw6AqS8kL0WuZWAynjUnf5uJw+Q7VTk/UbG3BxkfAto42KTtmQZ9HBRJY0JTTPS+qFPvkBwcihTpU5lUiUVslKyDQg4wP6noKCgcbhaViWV/0kltOtd9h0wUv8PQ+d5nujjPvUQsp0I30KcW5yBEcSgcMy8efOOJe5cwgfz3I3qXS0poh6PXdxMmcfAxw4gqYLz+h5x9M7Rb0kpxQeOwXIanfkflGDwvrx/1NmFNs+lzZNo43CMtNd4ejRkfcLX4l8lPbZaY5jVxfPIfxv+L9SpQogS3pi859LmP4F5J5glJjTkiTniXeG+j+dk8l2O4do8lhiJxBuu8FjpBtT7HP6/1O2MMS5r1QXpGAdcfzUtB3p5j7qwO6HYGDgdLGKNkb4RwrIh/mcjURC/kSef8LYOiOB0Au+nkO8Rnr0wgAMFyuA5lXf76jrydSLs8aCPGYSC1QH6qJCyS/Cx/qPOdeKArQ/4ubI8SwCAaSJxrQl3x8ccOHYmXz+89+9HwNGVsoW8H8DKz3wyivO1GHK9ydubekZCr0X0p6vzx1KntJuJEl7eqiLFE9cB+7fg8wwQXgA+R/CMgKP9W8Yqc2BcYcjVR14OYYKtfF2D7DuhqVODh3jHecgSXQxdLsdvguH1dwfMuPQwmA5d+kO3M9AXt6BvTiw3usL0hHqCQ3vgPRl8TgevDBTTC0zchiDbPzJpGQmwhRgTs0kbSzifQVEZVidEGSSjyENDBtcC5L4heY7Fv8MAO4O8y3Xk6wRNTiXPpei9q3r27NkEPd2DzGfjdx02bNhA8rQgHLpijLlvyT+eiBK8u7DjeAqDOtXdzjzgCFepvyO8MZPsjixQdKSNU/Dn4i/gvQnlEspBb+XKH9y6CcDc/byC53LtBGRsx/Lx6WpoeBi6PSEnJsBfJQ5emod3EWU79O/J6pzlVOyR3K3o37PHjh17M7x8TF0x5FkQrQ++Lpo8wfN0FtI05Je5hhz5yULf7M/i0tlDhw7VdtmV/MvlIeITzYXHhXZrzl8InPYsuskJy0Di3Al8FAW8BXogMMqR8XzesxiXPBWSAZ8Uks/FxP2Jn0E+9YX6geiqc1VF1AwA3xvhLwGRzijQv6GAn4N5NdSqDtrl1ER7NFuqIvQoyRCyNCHibJS9ilwj6EQIqEEkrteRtkWTJk3+S75sYP4/nlmku6JXn7oc9IcT15S048o7jNffHcq9MR3jlulU8As67veU3/+Xr2zacb9HVPpP/W6/HE70EdSjsfkez+tpX0P0a+JLafdOFGNjBGBrwodjhD1CvCtt10HPTRGOzpT5J3V59ORh0lryLuzLMAfx6fj5DGz/RxtdmSlfKU6E4/M6W9Sw14D2CEdX0u+grQorwLRTJW7evHmZ1N+eyhZDQwdAFUABcc14rzAA0FcOpNIkOO4B7MXg40DZDlwcuKXdKZQ1/mFoFmxbMdhPpv4rid8J3F2pntWlS5c3iQva45kwDnw8U1nAU7y8AzofvKWJRn1gnAosA0YH8FGBBoYB/VPE+2LydmblpwBeuZE6ppPvY+L7wDePQoclxDcjfle8dN8BejzIYHsNK5zh8RqrT1gP3E6uS8HpYXB9jefd4L4j4RhtAD590aJFfyNu85kzZ95JmZHIx+3kc9eJ5LrpoIXyot64BQz/unTpUndy4ukSwZDoCw9Im7fJcy+0OX/KlCnnEHYxgEdiOIzZjvDlxQz6/wDe+SwC3UZfDlKnwt/qSneMlHmPznncz5WtJ4G+iPFmCHhlUHZv3n/AWP6KXTiP1I1jlfxH9Gkj9GawG0V6BUc+V9FbIzf3kXAMu3QnE+eOnav549FJH2Coxa/eqztjsFCmMf1QBO99Q9iFpO7AsrhcP0VIy+Xd8akxcF7F+69MSP7LM5On/UexhHMaIZ+C01XI0Yno1b8CYTy/RKHpPqSdjp55hP56BRzPR7cfTL4668CxPn3oUc5bCJ/K7une8JryJk8EeMPDm0O3k6DNK9DlP/grMORPJbGuLCY4UX4S/N/EP4B+CXbDwS90mciPRu4m5TL1LrzuIuoAMkgrHonr6L9ejJFXgtsdyOcnvJ8JjuJyEPq1Cf36PNCrT53MDUIOtOekyQeUKUZfbEeeJeD+DTqtP7zQifBgZKgB7+oB7VCqqBpXJZW1aNHClVNXSj9HcT2HUN8Ao88D+GsAs1q312gjjbY8FjJ41qxZb8Esg/AdjKcj3uMZGH8QTxj9yHQSqzYajK6gL6aMRnTIWG/y/jZlNJjb5+bmVoCddxVuA+ovplNiQguOq+RYARtPJ6sAfqad9xhcHuDdc3NjeH8TPJ6lbg3ypsTvTbg+wrAVlTeCKb4hrgk4uQJZyPtoVj884/ou6YBcGuLA6x+OOjKY/bmC6SB/JIOc5/jqEx8MhuS0XB7vrzNgOiD6DUMrKnQb2jSyVLmjuWjYfli578ulKZmDeBSmK2zmL7EPod93wOw5qpOgzdfkO9NEvIMNUWUPE+fMdyC0d2ejSvid+qvSSeNi+t6dCA33AEfglh7LtANS7loE8YQt66QkSnlXBz6GL96h7K7wieeD0SeZHXh38PDI10Okew7+EPjXLf+gnkT+B+z2PWCnlaJbLgXn4firiXdyLu4RlOj6vO8Pz74PLkXsSHzEu7tOfh9BVN119LM6wu8ePF52EwOORziKiJduGpAngX0ehvCv6JgJ0OV+iHkgg1K1TNBpa40cg2Vj+q8tsM2DN2fDz+rr5clrOjpxM9J/hrldkY+wWDOSMk/RsMeHLiLsinlraPAek7gdyHsC4b+y+7QBeSq710gfiqHlooLl20ArJwzKWS56Y/6QIUMC2axckPd04N0dfvyCMqN510HiaCFjYEB/0nxXln13En068G8AroPQ3/ETA8tWgV/7KoBZukfRr48Q/g8IaMTswjOQNyb/TQgfRdpnrMouYHzxOKKLZ+cy2XGRYe2BSNAa4KN6GHKvAd4g/G0sHGxJX7qYYv8SFXEMmsW49Bs84XGK/xB5KBNIj0oSrPXO8akEGbsV3nd36UFkx28AAt5AxprCG38Byx9dQIJHvsA7Gd6fnSzHKJIS2jVCH1yP/O4LfneA2w7gcyEQL2FcWQxOY+nbQQ0bNnRscRX+cvq2FTLwM/n+BS9Ih3vJn0c9u0OnZ+AZT4AcyftJjFV+fE9y1TgFtUpqopM0Jma7WqLS4/0LKu7dvHlzFTHBanUlEE/C2YjK0m3AKJ2gIed7BAL7QasD3QCU+nrA15kynvULBc9zjE4ExCPwdIZP6ww8nZZLYAK+HWmxW194j3d/RlPrdAXHdgEh6uqx7XoswLhi6rYODa+pwDmSTB/zvBQDxjN4MlQ+jBSs9JPm4GK5eBgqh0uA/XXqvYn85/I8nPpsI8hHWPpZj+9zeJ9NwNmisBKsOteqVStx97hII4QjhMHt7kUMbKbFN+ZZbvMEPMQKj4ZoI+D3DHcsH4rS90HAHdw0wWTNVbATEJiXxBc/k7TTGHgaxwolTsAz3BphgXJDabhSKHQO7vH9ap84ULj6GGHgdKBUWU5rxp/4UehXtjUvIPwmNDoLY64TNOW1hFU0bwAAEABJREFUbCm0cKLoDpmGhufkPTMtbSlWOxw4LwCPS4G2CDpdBmLNwLeUuJb0cXt8oAMmTJjgzoQf3bmDQ/a67eb//q3R3WD5KTRwB2Ir6KM8Q6IyBw/pEvASg8kYeMPVYHd4KJIYDmP2Z4C9Ctjex3dk4DuMVasjmWg4UYvxqbINju4SvoMO1MgWgVLLY3B+SJo6egvKj2DsKUTHuBPnN1LNkYW/mTnewzvTaLcvbboL6S5YQCfyqPti7fJe2Xk7yW60l8kqrLsbge7ifSL1NWGhJCyrHs0lPpe2biVtLhX9H/1zAjuKgV7jPVGdsnU3MDsGXQIO3YBbHaQB3wGg5TEeEfnLcbETeIuvcXXWL+QPObodWnxDn94Fov2gjTRwAcYjkURF5B+fXjjQDD6Uv3yvEx55mwpO54KMk12PWWmvlLFz5uKg8hnwBgarx1Unka89vFFhQZS4hHP05wTw2gcf7sxdy0LBJeiTifR5zOabNGnSQuJvod9dfQ90KYb9JBZJPkIfzEefeGzoE8IuIB+JDLnL/hs8cxV2SJXtfodKZq0IuWDBAldwXensEVYEwCq03+D14NxxGF9Nz1DphtV7LKRyXDHEdpXKgWJrMg5n1ccdgoDReFf4QqELXv0X71315d2zuBvBqJXPEkeZGGzRrVu3P1VgwBHC5lNPtYEzXEYnqwzyYKL9YYr5eI9NNGIAUjA0Vrtgs4XtuG1bAjMFE5Wglj/+lYZtwXBLKfMfkh7HO3vswHtQhjxE/e5oUyPZeI1sn78nVNH/MWPG+K3Bd1TXggmWRqjtaXz5IVAFXmnYsKH5nMQEhtjixYu9Lagp9HG7mioqOHEdZgzC5qDfnvBcBvkpPJ/AN4ZGgZFMOHTSOwyvkyc0+BFZcQLXTgDoi7a8e7ZZpWdU4MF5EkrBbwHckXGy5ypjG/K/m5WVJa696LsxyNtClNBT5J9Nfo10+cXvDQLDn10k+3QubWjQGw7qT/B/MTjpT1c6bgTeXuA+gFWRpeDqNyk+wxVW5d+VIj+QJmudddIl4GEGjtlMZv5Bv86l/4+ANgGvQ5sphNfD8A30BWFpMwde8QP4hCIME/FcjPDvGOBeAw+3qu3XvzHpP5rVu4ZMSNuAz+7owQ/gg6nGoW+DwTNEBPzcqs/HwPiRwdPjkX2oyzPd6jMnMzEdzwTBxQAnPAto28URP+oP6El95pO+BJd1wLIlbbVApzzH+LcImB2UPbP/PjC2zsvLCww28mwArX9Gl83n6YTiAtJvoMYDMGgc5AkmlgPmGN7QcT785BFMz/WeiE4patKkSR4Q55DPXU2CEcdOj2tOoV/UK0FcHfyn7AS0YUFwBjvCGrBLoM/h0CIw7uQ1fDd4K3gn3vF5ATxb6+kC32qbOM4GMoLM+IG2NPBj8a3hjTTGXsf3pYS70P/pyCAkiGrPTGac0iYkOnEdRrofxM8H6MH4g8DjdfruNp57YX8EfR9CD26exhhJGe2zMNoTIX5DmI/Mf8f47neIXaCd/T8B3shGZ3ikO8y/Vs8qMeCBQCPYc+VtUWw7w7xtQb4LSD9IWrV2GgzjufKmENGVywzabYhPg0gNILxXJHorQWM/3IJ4F5GmYLkakkF6d2D1eIpEdjWkcY8ePbya0aMyTeiAZWaMtPM89ajsLwbXLRlEWjLLJNh+bxR0C1b/8ng5nHrvYmulcke5I+Cg0ZhyGXhhFUZXht1eFbamKISGdPib4NaVul6krpOh44kMCh79eQEcNkIYjmC7ykmEZ9c3ABeNNQcdsgZOhev5Z427AA8nIEw8bif1HXx9Bnzzg05ZPfqqIwZ9C+r27Ogo8gXb0+SralcGU/tF/1xg7gUOztx70/4glGIuuKr8bmrduvWGTjoA7l5osZm0pE+deAzq3bv3N+TzXuJ/+SSvA0k36C+/Rcj/KzRcynt3+sbbW9zq/oo2whU7+1jaN2YSZ19Lh6rGc5XqA8YZ4PgpMPfq2rWr9N+PPngT5fir76xAes5wWwZGB4q7yb8lce2AewD5Pmdy9z5buq6o/wbOO0OLJuSx350Q/dq4cWOVkd827AgvtYH2Hp2YDS09O71KMNZgpspNRZEB5bodOGkg2U9lM2bM+AyaeZ5beYpAG2+Z8gziqfR3e3hF474eZZywV66zLrxH0VP1oMF60EcD1klwZNGiRQvA+XT4fDpevo7AI97M1I18Ozbnj3cN3LcxlN35SUhaMMkvBD7mJLPewnj33PjX4JUNsA8Cf09wOQRevhBdfD9GVFvidVH0qRO4LRlY/e6lGOM+Bxo5aDo5bk/YHb3A+LBAo0aNNLi7Eu6DHvEygE7IUA/qWZ+8rsb3pZ2tkClXm8kWuDTevXb3YvKshw47lTxXA9O5GPFZlPc8/izg3JT4NuRxsegpJtYWPo/09YDvS9Ll4VAfmZYQHj3kxK81cMpX2gdlyNc4aH0VAM6FrzLQy07+PEKyX6tWrbaEHt6E1AVc7yKPxhqPOuWi7JZorHm01IlZIG8shrhbfQZ4OyF2MUp581uKXsRth7g157kH/qX58+f7sXNtJkoaY452Qld4V50sb0SQ09HwxG3gWISMpiEDXnH7FnzkMb1sJqntyO+49u7UqVNdrU9oGgC3Y+bz8Pyz4LIHcqDN+BlAP4cMZDC+XIf3cpQ+xB0NbvfQt+6W8xrxm6M2BJwEfDlp0qSl2FGelPAEgOfntdEWQqd4g5/sa+6CTljz4n+URNu6kuh1fn445srCF82aNXvjjxzVEoJ+UWc3nxAoRZl4tMXJxGd0RBuI34nn06SVTZw4UYPtJ6BoDcMdTWecBtNdSbofQZr2Dkq43YIFC1qT33tfR6BoW5C/givvrEso+yH1HEWeE2nHD3gXwcyeA/T4jhOJzUj39pNYeRiiPS+eQ/0Rxd+esl7v9wzll5pGnfbHc7TfyuMyvHv1n1uWO9HpXzIITMcg8yPbm6h7c+rwnPM3hD8ED/Gm+sBFqc/vADyes4idAc/fWbfXzC2ivauo+1MGyrLmzZt7g4nbpL0R0CMpXUZ9d9OWWz+8Vr2bMmWKBuft4NmHtnYBlrdoOzjOBJ4Oqg0wNAN4MTSfAwLv8j+AfJOZVF095PczqXm829+nUo9b4O9i9HrMRIPuF+oVp81Jk0YNoM9zpLtyFGHS0Jx0V5Bezs/P34gB20GLZmreoSj80NSzprBD4V+AdxQ0eAxISonQQG1Af/n0rO+rpHvjzgHkKYOHPU5SCs86oN5FGScqfueRDW1eAN85k1AihD2r9yvPPaBDb/xDrKy5KkmRxHUMmvXhg27A7TVlKsaADkDs1r4LBjcgjxr1fsj4b+I9MnUKfbstOD4P/h4XIrrOuQxWg5ykeHtTR/k5xBCcjfMspgZ6tEWLFl9Cv5uhyRbI2CHw0mgMV791idcXYfGEe6KjCpnYK8/qM6/HXIoMyN/qtBHg69GNiBMa5CHod3giGFDVE+TV8OzB0++GHohHkMWWxfDJRcRplLlDcQd0mowvgE7uAHi7TDa6OKYLaSeTtA6UczLgDpgTAAfnEbS7ZObMmX77dQ/pHaH7gbT7f8D4GXp2Ke9jePfjT6+//YD+UOfRfMK4KAaH+CwB1iaMIS4sBcDRB45t54KXtChjFf4Vwh4tOBR67I8fznjvRQFB/nXzr3pa7dOnTyaLZ95KNx6cuzBeOLkJGsPuGYcuvhyemWwEdPmMPr4VvzV8czB0HIlXV1VYvTVvbfJMcBsyHvnB6jhpwCJJOGaWoKPfApd/Q4Mlyivhx6HJu+Tz94D8duIN7BYXPWOTZ/IkpGNx6DcXOgVOXBif/Xbsfvp5Ani6GO1C69H06fb4N8kf3Apnfj393hc78nviA35AbrQ5niWvk7l+yMnlxC1zAYpl18QHRtKaFFxeGQzYL1Cij6CY3keRfRgSYnl5qyhOhvADpltoc8i8efPmQKDnEJx/N23aVEb7CoG6CoIOhvibQdxOGGxnwminw4x+3OWtNA1htm8ocxMMN9Q6eA6izL9RvB6/WAZUOhNUZz9EHdfSMf9F6b1KhAxqB/slsh/PPgwsFa4vY0VmNnDch1H6CJONabQxCoP0WvK9g7L0LvZXeL8eWH7A8CqAhu8Am9ckngksrioVSVPin6HtCyn/BLDcQ9qdPB1QpIfwljGYWN8z5mHA9hhFqEBcUfk5hNf6CL/GZOBO6PMyYQ0f81tPtXlw8B7nZ8Hd1cCPmZ3n2xjM7c0PlyM4v/huPLR5HZq9BmzPQRcHkIj40k8XQ/urwU9j1fwhjqWkf0k/P8Pq9DBo+hH12ZcBfaZNm+Yk5jXir6WOb2nDIyw2t048PDcNvhgkLaDLS9AgEHDCrvB4o5LfkwibPyryBrz+Ejsw5out6oDvBOIeg04OtIOhlR8OBathhGehQJ8jTR56A+Xyk5UluqevPXLwLTz8IP30JfDGjE76cwl4PctEMzDW6NN50ODf5HuQPn+VdCe6yiPF6pwrhl/8iPMuZPYDcHcCFyJZBF2+gIeUh7IxY8a4mv06+uLf5HXAeRXDNT5/WC6Rn2X07efo9CvhY/1lyO4lyIc7bgGPo8d8vku/e71kDBfKDUGHvkCEurLykaoy6niZtEvI9zb+Ceh6NXVMJn408ngxz5fRD4FuIl+EdgoZU15t0KDBv4DnXzwvB6bLyKdsyZ+l6OPvGAdfAsaXiP+EcmXwcgH98ij5H6aNdzAC34mvlzyJ4MrQET+D9yP4jxlDND5icEEfL3kI6AsdCtAjz5D/VuTzFfD8wLhY5joUQIaK0LnjwPUu0HKsCnQOYV0R/T28XN7kD8ftV8h/H7roTfr8FdL9LsO8tdbT9+5ofwNPe5zqG2QktpoOH88n3QW0gF/gBVCeo85+DN5Q53xaF3iDPs5hknoVNoc/LPgMSPrxdoU+Bd9RyIVjVWBrkKgt4m73q+ihJ0l7n7gqc1VqwAsVSOVOnjzZ8z4qM6Oq1cNIS2CgfD0NFfo+iVVHGcawT9MwtL1/fFeMnNtRTiehRP2gyV/SekmYLWP+sA7LEF6ZYVeC8bCQsjPLV0BLya+Tpt7Z/S0D6wQjQo8iKLRevWHbs13fhTN8N44yAQPINLShAgiNU5IixbZpfl6ks9s0BCu4AtP11l0hJRKxbge8MLrU+hBCV7BrzOgRL3B3ByAet1JhBrAYfNKqPJ+4kvS7Mx8rkfPL6fV7ZNx/abeC9GLLWg6cVTrx7cfVUHNB8PPcrrcKVYBFGgFFPN6lypewE1/BGQfPaciKk30cS5cHaENFa1osPsEDKr88+0oPrBVw4l0eiadXiYOHcklafDyvdcqV0ZeBzivn33j+EFFx1xvWB7pK2vASH89rrXD2e4E8HHp5Hcjj8fZ+9uVtTZegB6avBHcnB8qEdRVLV+oNXDnPyWPBe/m/MmGw/fgnafF0LaPNHPIEiw2k6cShyDjamD9ixIga07M2vqpenENPmWVwJ0468bN7CMsAABAASURBVPjdiYs6h7cK8bzXJbfa8qaOho5+sGy/1wValDgWwb9LwcujX/H8Ln7ySjyuReSbK3+QGB/Pa+11yrxHFcErNqmPx6ZcFirbYyVM5IIfWYzPWxVhjc2qqCfh62Cg+4gV2QNYhRqF74IR74eCD8KUrlRVJfwldO73DBhu39dlpVaVNEvVlaJAslMghX+KAikKpCiQokCKAqtMgcCAx6BN6BkShrcfhzjjWys4MdbHs4VxN8b1BTwfwqh3xXmViZXKWJEC5f1S1q1bN/umYmIdf8vPzxfn2K0EdRzdZdALdUZxcbF0WCY9WSLY2VsrnZQsdGLHUz5RXlL0+pNOT0tLC2jEU5r9Se5UMhTwuy1ppuc1uVzDhg3LIpFgVz0p8be31cOMSUkhL+iFmB5NA2ne0xrus88+TRPRYyD4gZAfrzXYfffdExLGRKRbdcO09dZbewd5PfjHX0BMun7JysrydiNvI2iw/fbbN6lueida/fR7IxQnj2hjeSHR4KspeKBBBhPZBjXVXm1tp6SkxI9Ek1ZeVqff4Ck/HvVaxobJLFurQrOcnBz1sDeuJawNsyp4rE2e3Nxcb+jy48p6ycgvygtGbGAjJgP+jDfqUvGNaMArAOezovhRInosBO8E9kvmCwD8w0SEMRlhwoD9kFnvIfjtlyxZ8kGy0YCJ5ZvwpteFncHqYkLKTnX2Cf1+D4qzeUZGxtOsACUd/tJ26dKlyoD3gZ9u2LiUz18uLzDAvoK8+IuNZyejvKwOX0Anb97aEvm6UT27OmWTLW/9+vX9CHl7aHZ5suEe4osO9lro/dHJhyUjv9D3r4P7DvhzkgH/9PT0Z9ENW4N3vTSQ9sD9cF6eIPKpBPT/BcZJwDUcA97rzxIRxqSDSX7Bey3aZJ7in0x98yQGiXzpR0pfgX+iyo79UuVefJFFf33Sq/E0zJIKf3SRNJXfn4QW/pKnv2tgXMpHIsujwZPo8OfwXm7gHeiV+WV5ZZI1Tt3yIrSajo75GDlL0Wr5PCV/KH/PI4OTodUwnslIK/nlaXSSP1A5OglpoG7RoJUH/pcE8uK4428w+AOXJRrw+SiLwZ988sn9Q4YMuTfRPLONx2BKf5TmQ2BLSBiBK+HoVt0wDR482DuVR8E7EwjfR3v6ZKHDffDlf+BLr9scBv4PgH+y4H6vuoJVH5VIflFR0eO+JxP+5bjeJ94MnN63/ilxycT/q8vr98Enj0CrOcjMkGSTF3hjdeh1HzpV4/S30tLS14cOHZpUumV1aZWZmfkYPDUBWr2vPK5m+dXpl0TNe1/Lli0fhGd+YBLzbRLK1n35+fkPg7+/c/JJEsjLffC7kxYXtUuCj1hBPniiYBPSAbATjUyA80dbeKRcIlCgvF/S+vfv79nWRACpxmBgwPAMmnLjs8baTZSGSkpKgj5nAA1+8TNR4KppOJQBBs6UXvoTwkMn5UQ6BXzzJ9mTOrm4uNijrf4goGNeUtNiVZDXfkEG1cXy16oUqVN55syZI7/4zURSylbDhg3FP7QR61TfLg8Z9QPx8nsk+MdLyqUokKLAGlIgVSxFgRQFUhRIUSBFgRQFUhSoSQqkDPiapHaqrRQFUhRIUSBFgRQF/qBAKpSiQIoCKQqsEQVSBvwakS1VqBZSICm3V2thP6VATlEgRYEUBVIUSFEgRYE/oUBa5E8yrGpy586dG3bo0KF/27Zttyv327Zr125jylfruaw2bdq05+9wvNduVduEpGPHjq3BZ1dw3Au/E+FuPHuD3woNw06dOrUCrsOgx57k8wwoj5hLo46jSDs4FrOcAHRtSZ5DaGsnkivXQdTvDviyyLcpdW7Ds93vscH/qHC0bt16c2i1Geltybu9cFF3wyDHuvlXD1i2xu8OPF1WAkIasGabD7w2ic9HuSzoYn9In/VIW6YvxJE8W4D7pqR7XjuDcj2pK8anhDcl3buXybJOXAY4bgQce9FPPVcGAfnaSAtxIl/8Gdk0ym+K34s8W2VnZzcgPXA9evSoDw/0I36f8nLVKpNBo1XwD5hbgevW4LQJT++dD2uVXvLE1uDUxz4OE5LhKS2gibK+Nf3cPB5n6NGGPlYPbwoveV9wfHLShZH1mF6UbnEEiELDdq1atdqS56YtW7b0Lu245OQLqgOh12bw0JbN+YujQBppRLffCpnsl2y0AvfG8ggE2Koy7sQpb1uQXllHxZGvbgfRMx3B3/E1sE9gnebQbAfkbWswr2CTST9o1of4IC/PhHbg0BbvOLMRgMZg7t+/fyY4bkDaNj4dY0mvcVeBuGvTelFR0e5lZWUv4L0C68W0tLRXqe9a/DJGFXFV5mivI5WdzXN7nlWGD3XFHAy3UUlJyU1E9I1Go3mlpaUtCF/E8xaeK/z1M2jSHLjOIs8BDLSxzuddR1XRDaFTD19W5JcuXdqajH+lnl1gkhUaXoWFhaa1p557qPMWGKst4cAVFBTUT09PP556DiSiUXFx8V7AfjJ1ZvG+Llwm8B1P+3sCUz1gOZeBYcPlAYJwdCffOeDkD0edjaI4yHwojSaUuxZ/Bf4a/POkOWE0OfAYMutBl9tI24z+m0dkMe20J/wE4Zeo90Weg6DNbZmZmZ0Jrwun4b0bsBxN46XQ40LwkJd5rejgwzbkuwXfDn8A+Y4qz6ExchBlD8cXkXZcXl7ekaRp4Gfm5uYeAM57EF8ALS6inGlVIpe0UW0OvnXCtQ04vUAj4hrKkLC3BZdb8D3xvpMlORw87Q/X9ATbZ/Lz8+/A6IrJMbTKoq+PpK/3adCggf1PtuR16OA05Htj9Me9UOEGfMxlZGTUI+0kaHZYw4YNk55WjAvpyJLj0QPQ4+J4voJODUi7CHr+JSsrK5TDGC3rcqBRo0bi2xccn4VnbmUcrk84cMhZY+hyAjy0GzRLFh6K6VvG8UbwxkXI18mE67uYUr9+femhwXsKY402R0Ar/zHOHgbNOhAuwSe8A7cG9O1+ADoIXHblGbhFixaBclorXm4m0BPZidGEuBpzVWLwlgu6K5gahb3pIP0tIDYUTIrx1ebS09PHIUDfLacBDdp4/OIJbFhvscpP42IeQ7Ej+NxKxA+zZs16YPr06Z/xfJ13B4QlPDUyeCzrZs+e/SuwfQoDlCH4Gvrx8JTMnDnzGvz/VSop3PogGqaZRPvf8BLGxddB9O9u7ty5ObT3Pm1plGrk/k1hIrWMtOnEj6Q/PgH2iYS/Ij4Pr7O+kAa+V7vHEN0MnA6BNo82btzYu44XMTAcwyQntmpcDoSD778Iz5kxY8YrwP805W7SMCesQh0NjrtQzyHglI8/g7yBw/DvQd6niBsJzg/Pnz9/CgmlCNqGxN1Bf2xCunx6JAbPdxhCM0ivcQctWgHPyfjh9N+HAGAfnsVEQ+XAa8x5y8CVvNUn33+B+VXgvxT+6C6ulD8C5fgEuA4mz+vQ5wQUamfSWpHvEOKGmkb4LtL+Dg17EZfQDr6dwQT2KeAdB36Xgau7bMJcxErOKOK+pB8/RSaVQ+P1yok8bbhO+gULFiyaM2fOi/D9W+B/IM8zQqMCOZkGXbwTe9jUqVPnxxFAmkibuKi6H4ROudBEWn0OH/0NmTgbrDW0yuCbKdDKMerLadOmOcEnKXBJSSv5ikmfP1D3AXriTPhqINSQZ0oZp7y27gviqpKvqD7x3aRJkxaqc6HJ/5C3w1gQOQWo5aEIOzj+DsQQ3oebj2fopJs+fK/NzzTGkcbg2ovx6izGjv7lyGg3bEt4G/giDR9FXzdHpnbEj8I2+4LnaaRLhyh17AgNWzIOKXPaQyQltkNHTMZm+C94zEF/PAr+Tkyi48ePLwCPL4F+OOPut/T9UsKhC/ANX6rzqaJa6/pBspDOexMh/5RBNwclIHO7QvbRWlf+JxXQrkwkHiFDpDGh6Mpgvw2MtgcEd7vGuFa878T7VhjljXn2xg8gXzeacEt+PZT7NpWNSAT2aDqvBcz4PvmK8IGj836k7XupKzYbDxIq/aPTNbyiixcv7kn9A/EantEWLVo0o+1tYWq3noJSwJMNjJsRvzU4bEa4NzRtQB1ekRTNycnZkDyHUYcrza4KBOXi/wHTIvwbwHwERnH87DekU5i9jJU86XQQ9e2GQVRTW8gyt4bYEgRjCYJQCKw/47dD+Cts+QPXegj8nuA/UqDJP5J8DTBed0ZofoY2T48YMaKIQfoXcP4U39J80pYyF1D2J/K95jvx4h9hlWQk5QbBs7Dq3Bzq24p8Yxm8FpOnxh0wu/PQGZym2Th8NobnevRdL54xh0HvqsU+pGugR0h3IrYU+I8A167g0BH6BZMy6vyNePnDHSNX67uSJ8TPSWUa7VWoP9ZQggWAuxTcvgessYTvhP+V58i8efMywbGM/lXXkBzxaFQvZGY7+GYXnh6pUi+YVic9+E9HJv4LckdjVCjr9rnXD2bAJ8qZPJ+GjuoITbZC1+yBblHfmI9iyeHAPRPecSHkQTC+lPdD3AInHIG3pJPBwCNnnaGRx7Z2I5+6OohPln+MCY41GqVvQZurkbe9wT2UIxeiwnBEGYNW20An5c3jpBVoSbm65iajW/2V3JPAe3+QC+QI3pJmIV3S4nhod2jjWF1b6ZJO/3tUcRd0zbHolJ3B+UfGnnE8I+DWF9w3Ie1dfLCiDs9Ii3q8Q6pSdbcLu+4yd6P8dqQ/Q9lqXdSl/ip17CiUlZaWDqPSCeD1APrUMZvXiP1axlga8AER0msjaObxoV3Qt56IILr6XMh0a9tCMUZULpWU4iMgtD7PUrbAp/KsUceKrD/X/VcIXR+it4Rh/o0xvC0DnduDZ/J+lQDx3CASidxDuDveowub89wNH3MDBgxwq1pBnY4hPzuWUB4A5/9hBQZGU3nUch/Akk1CP5478LwbAe+EIWnn3gZTe3QiAow9odvlpJcS14HwrcB4OO02BA+FozvC0o+4zfFXIzwrOjceJZ9HDl6nvavItyt1VnDEl+Hb0M4ePBXK62nHYxUr3E2oUMFavNA/9YC/O+0uxPhSkBWORcS1ZfCoMBmCBm59y6NzbLJr164FPBfgu5evmFk+Uj7p8jz/26RFqNeB11WACdQxEAH8Fwp3G9LSmCkv5Bk4aNMIOLbEf01EOAEkWHOOtnvj7V/lJ0LfaWirEDwCpQEWAtOFfM2gU2Dowy9LeHfVUBoVEW5GRo38CH1ZSNi4FsSXUKdHvoIVfd7FU++Z8vj6KZJ4Dnw1SOcgA9cDXS7v/6bfnHTzGnNR6LErMn446a6EeOTtGuI6xXLUvQBdGXXy4o+YvAt6FzCw9ONZwXXp0qU9cn4idGkGHyhftzLA7EWmhO97YKwShw5wdVAdfw90eA7CXTRlyhQXEaSBPmgHvlof4+R80tULLaHXnQzCfnsUpCfLP2jkwsB/wN8dwVvQna6yir6yGNALHlLGPB5qfFvKXAP9tvClrnpw1GB7gOdQeMSjiK7Gim5AEwNMarpF8XugAAAQAElEQVTAbycSVr82Iu/t0GUX3mN5CCe6c0GzD7hoE+wDsI3ghU/r1av3FItfQ7B5cliNV7fuh15+jXTHIcdpJ8Q5vI8mvhd+C8q91rx5c+VpZ/TQ+9hM/vghWWqPAw8XYafwPAeo0xlfL0PXenTbcTTWr9DrIPIMxBfS7zuB763YLI69FKseFxC9iqtOZyDVgJ+4cOHC+K3tKm5m+dWhgDXSS1khHwaTvUyuSQjUGRiHBRD1efyGdEAriPs54SyefTDU/SEAz/i9gIGnAUCxSGT06NEe6ehMvkVMRjSKgvi4fxqQwaQlLq5yEFmPzsWofBtmvo2XDaBPT1aAnc1NJ3Ow6kyn7096Ntu9o4B3FPEacT8hNIuJNzwbWDVQH6KO5uRfoQEPvEvZBbmD50+UfQAFokErs1FtRCFTES+ljpfB6yry+auax6GUNQKDPNX1j/6R57LAoQDYApgIO7hmALNpsaZJb86LBn5A+yZNmpQRV0L+ChONJUuW9CQ+H/q8Q36FrRc4FYHfe3iPmjggXQt+gRFLnsBRz5bkK5g9e7ar3kFcTf8DBrccl9LPAd/BpxrzTrAq4AjdgpUM4FVZRhhUpZmKIgt++hm4XZG/hp2UjcB5G/K5Kr8AXvdokKuPJ2KMbEY+B5P2tLuIcEB/nonuQCNjKnJxOoBmg9/l+fn5GqOB7KFM20ODv8ID3zDAjIAPXiXstw7Hkr/aXAJUnAbeRRDnAWCZ4bNjx44a6oXEExWJIN/SoA087vG5t+l3j8+dJs2CDEnwD5zlc3V8HmG/W/oF/riSxQQnuOGuqjrxIshRj7FjCGPHK9BwMvlvRn9qjJGUHA7dkY6sLYZ3LgDjKcjTldDASbN0jHhcCxk8ERrOga/+R57XKbMAfzHhmEFDuK45V5cdS+4GVw9B34O+0W4IeSgCXf5GWkPoMhTvcaQf4aHTkcsKY08iE4ZxQpwOBZfDgXME8vAueI6eOnVqPu9B/6NrPA7zLmmTiXNMLoQfyubPn5/D80F4Rll7Hz56gHHdI7OLmjVrNoZxa0/G4dPhJ22SCuM99SSsAye/1ZsAgBrxW4H/ydnZ2S6gEBVxAbYL+uJi8tnvX9Ln/lrqTsjQ8UGGavpX5QRkYNA4603njwPmwPDiWe0Ogmn4qDz2oDFXMYvHjBlj+64irIcB3aZp06YaeKYNwCByRfMXGOyQH3/8sTtPikUqzA5hZMt7jrQJq7gVDCozl3vbLA8u94E8ly1ixT2XznWVVePMiYHGvyvKQSEyuTLcDgOsMcxvW0uImw/zB0YK+C0knAddXXktoi6N+qDs8v4xEVlImb9Th8dEriHs8ZKgLvPzvhiaMMdauJD2vua9AcajcJlcbR46lACTK+4KREA72jacD7Pbh7G2gWsWL+4oSI8ICkTj3Lz2IUmRiMdjKO+ZvLdQMnOJ5DXqrHcmRvFUFMxsaCYPdELA4ic9tr0f+T2SYl8QrHkXjUZnQo9MYAuUAU/xEzZ3doIBU6ighTsPwhkYE/Svu0NZpC0sX9X4B3lGw6fHUl9//GL8GHcqiD+PfE4A3U3alDbn4X8lrlY58PwFuE+B93cGz7+HwKNM/QDZbU13akqZHE+jz8eDv7tLYba6+ozSx1PB9wrwbcbzfryGqbwi/+zOu7ykLismz6d45SDYramrRFkRXuX64EbSmzMGSLMMeKoUPeJH8gOIV+cEYwdy8z68tj5P6UVScjmMMfXs6fCLFymcBy2kVRmDht/teCOY46WLZXnkGYXfslevXo4zdZZQ4BhlnJmETLlb3pEx5t8g6wp1MHaRrv3hOK+8FcFbjj3rYV+0J1+8S9gwejaXyYc7njeCz18wti9gdXkLZMQFvvTc3FzHkL3gB2+z83sAF4VcbfdGvTIWIX/Dv4KsvQGSLjxthK3x5bx589wVvwDaOfb8A1sx/rY8sia0U5dGwGsU8N8EpCctXbr0AOgTLLwxbveCHt3RFe6QKxMTSRuL32XgwIHu3FCk6l2VG/AwtMZTYzrst6oHd8U1QiiNHomskauwBERDgBSmpcCzdPz48RrMz9EBrnZvRtpleLdKj+E5HcYNOiNsxQkA8W/hszEu3TIKk4InBn57mFsjKnhfyb8oHewKjzDqhVMfKwJMrq5/D5yHI+ye832ZOFc3wjyxviI+jFvpE0UzB9hPgzadKHMy9YZthrAE5Un3fSEM6KAfxFXXPwxPldr/s3cecFJVVwOfbcA2WHoTXBELdkKsUYIajTX2EmPXzxI1aqLGXqNo7L13Y+8NG4oFEREbIlhAqtSlwwLbvv//MW+cLcACu8vszuzv3r3v3XrOueece255d36gzdYY8xqtrmq0Ac7x0KjSjg0D7AjgXoB3uypSXFysMnCF8TvhY1UjB0NuR+D+GVyDXQv6ozl1+dFuFuXDSY7betMQLpWqRf34yI+Tu1G3CjaIW0v/RgNDGn2j3HhG38FxMTi5OxMDiTwToNk0cPP2EWnhNwvtyfApPoKyHAsN/g0NryaPq9Mv5+TkqEwiGHg/onguwtC9kzos/2peXp5K1KKNwYd8G2GCOxiAb6UvXVn+PXTzZh1Xf5zoBXxCuhNVV4uqHXsjrSm5GF0YcP1O4O/0/ZbwjkdmQv3nx93tXTUVcXhAY2s+YSVdZ1oT9/G0GoEcaKAcAK1OgofKoYcG2Hzi/XZCHe1RUN+lUyW91MTpFIGHYrRCp0yEJpfj+6GDvN3Inc5S8njb1QYhLXhXBmfPnDkzpmPDtCYUuvgW0AY8h4OXt9/tiC46BtoE8kacK89dQnmDt5S3xaRre5DcaFwFY8pQvIt/7wF/b8Zad+l359nFI8ePdXkuhDfcXcgndFEgkB2xdHyGLw4gz1eMQZNI9zptF9RGkN4JW9GTGjw2KlfGGPsyuHiawxtotsTOUBbUs16S0T0OG+OKnnvuuYBn4uLr7DFmFNZVjXTWNtQ1k1Uwt+55rF+HgKCD01vAKBrSGqLPEbE9WzWeO/e4yJYQ+8OCggJXVjxj7Cp8T/JnM6PUEHyH/H9ACDWYqhmw4ONHYjOp4xS2foI6wcg7zDdD6W9FuYrOy+6/PwrjQqOK5JiTmT2bncvqttvdriC7PeWKsoarZ+Q0Si3g9V0qP792dtV/GBMKt8LFSYFpxozPMvZZDvBo/Fou3ttePhHBKi1hMGNMS0u7ied8YLUsj+roNI+nZG+yySbCsik08IzbXBPr2bvdNpQ2KpgUrYPBnQ18fgD1zty5cxfw3gE6H+rkCCU5BTxfIN2zlc0QFD+oGgkeQzxbRt+fTfp2CFQOZXajjDsOHp34gvgF0XLi3In2nBzZxzxGIiiPbUkfTxuuIgVxa+MfE7YxwDEanFxB9qzujrx/Aa4/QYtccDoW3xNF6u6Ck89d2frPBj8/RhR2zyAGoKswqecoXsrgzUeYLGl88Bpxi68tdDqLur2N54HoZDZIS+R/ubm5GcDcEno4KYk4qYZvHgdmz31vQD+WIVsuFrgy8jdp07VrVweUPMp5hI6sTdLJ1+0YVFuE2MEjDrSX8d4e3NU76j/lZ3NkSxlzi38LZP0zeEE+IGtjdKsGM7zjynE+paRJGqHGibc9XYEcbSCt0LXuUjwFbbzoQFpZxrHstYYay4BrrTtoBQnS8/gXyBsAlaGjvIzifujUE/2SAZ95XMaJ9P5t27btWlhY2AI6dqXMs+hTF8wo1uRcBhipU+QhHiMRJjdvgbdXGXeENrlBZCTiNdpbLVy4sIfv0MTjI4OhYbCYYlwj86XgOYzFtsfRGe+ApxcHzKTf/8si0KW8X4l/GzoMwz65H9xCYzUN22lv+MXVfG/R0+hwVzgPnZ1F/jT0dmx8olzCOuwM4W0J/vJAxJ0p4L8FgIcQuhtRDn1G8u4iyjGOw9if7i44Tvs9ogtKJNe9cxCo61r9KNDZaexcWF03EF8fzOD2psq5O4N3BwyXh0n/GsH5FwaQBovGzN0O/MRHYJpJMNzT+KHRuGdgtLd4r3FAY2XLrZDzSFdJ+VFTf+r9F3UF20IFBQUa/X1p7xoG0/BjH5IjnlPuQTlX7pvT+RvQ2Z4bs50ebB/5UasfdObS2X7U6ZnmP5DfM+m3UsH/MEpvRChMc7XY20S6IRAas05EmOT3DJWsA3WaEwnKqzB+161bN1cjHaxKETTPKF5H+65KUnXEiYvfBlwEM54N/tnU+xADVZhunnrzKARvFPEudj+SOZ72J9GPnsOXZ5yVnw49XQnz/PvNwF0KjYxz2/YM4JyNEbcnuB4EkK6i3Uie6ynTl/6awCAyhuebqTe4K518Hul6eNKkSR5DCc7wUc7J2FuEocLhseHdhAkT3PnwuwZvKToNWNugMG4Ah/n0iYboefC0xrpK4DbwHMEgeyb4/YHnf4LvNBihOUa+d92fTHkH3P9Ao4lRbLLgV6/5Oob8flx0MQNwo1iZ1jAA137A7QTz99HJZoQt/DnSCFxfXLRoUTPe5yJf3gnfDL7oT9oJ4D4Er+FB0LScdEDWdwCrnuDaj77vxHPg4Bm3rW+CNu46pUE/Zf9d+OUM+OBMZKI9z7fJX0GBpv8vs0WLFn78713NezNGBDtdoF3CRM8bMTwT7wq7hom31LwIjS5E955NHm9duYJQvUTQ5J0LRB6/2wpMt3GRhNCji8XZ2dn3I4c3wE+OKSUYpPfAYx+im65HBk/n2SOb0m+t6lPhrWuvfkXeHJs9qrczvOHOp824Iu8igcac8haB17zG+SN46CzlDbr4vdot6GN5zDKN0o8bN24xOsOd3HdZTR+j7eQiEGOJOwsuJE1gx9cFyAA/xmuvae6JTeS4bh5tFO2uxeis/aDLN+T/Jcjc0P9WoT10q5O2beH9TbFR/PA9sJkdd5mkqSNeo68zGMdnIxunUXVrxqIr0LEn4x8in0d0ia4fFwBTl1XTOTejJD+uyzpXVBfG4Cj8ofgzMNCQk19nwlTnQfAbYJKXib+OSFcvg2owWOf16tXrhilTpgRXE5L3c4zpWym7POPV80zfke9EOugf1PscQup928/baTIyTHo3nXgR3m3YoB3/0Xm/0P5hlD2K5xH4l/F98LcgDN8Qvw/PB+KdnTsInwxTe55sPxTj0dTnx0RZ1HECeU5AcH6mzBs89yXubgXIdvTgWgFOX5H+N9KvnDhxojsggTI1H3H3kRbiPJbnk+mrm2jjedJupm5vDAryW189e+/AfwMcb8LgeIXVrzuhv7sOHgX5ori4eD/gcxIYgU5TGCxuJO9z4HwR8X5IUkb4NO+/I9wMv2nU+9GNg631D6LMP8HjM2hzL218zXOAH/RwC9gv6r0aiui16irot+FMLG8GCs/xXwbOwU4BfDsB+vyRGb1GmbRZSF9dA15P0Hc38Bz8/gGTPO/Ln00dD1HXfVFaBrhSp24a+e+FRs9Ah0azQsag4QfGrwD34fhnlTWR0YPHVAyw8+EBJ2X+1sGP0GN/kXwq+gAAEABJREFU8LwPBfoEz09QxlVVszcpLx022mijIeD3F/xt0CI2IYNnFkGTx4l31ati9uzZc6GFA8qVyJG640ryhJO7JkWX5SDjCuJH0EMd/ACy4bdGQVavoCX+NvT/B0aQVsz7hcjXheh59eLV6MXgo3HTk8CXo3s+gX+Ogw53Mr7FaIUsLoaPrmJHTL7SqJ9FPm+huQj9+gL5/Y2U2DjblGjFeLEEefsUHPcD57vxMTyJW4h/FB+MV9BsNs+Xgv+1+FfJewU0dSzmtUk4bRx9iIzy9Rg4X41eiU1SkKFZ+PvkmzAj/OMVxn6P9T1pN0irMC1RQ3TrAnDTEFd/aIy7kBaAu2DBgunYuudtvvnmwemOoqKi0eT1yNADZJBPnLy4wMtr/bg6N+BBeKqKsX7ArbFWCaqxEoZmKoGQngn2xyd8r+QHDRokUc1vfIUDog8r8xj/ExHGL8ePH69AhkzsVpAr/79iQHkdYXw1tiFsep/DMvHPEQYQPzo7kEGjN6sZ3hTSEUPED0YGE2qwmj/08XXEt+WzaWFbhsaF3jSN2/C9nL76SaEiwroJGtY5OCL0fsUe33AZ2/0aZfZREO/ASj6NjlgcCSuFmTKLxA9eqGrIlZGmEpYmVNWgrsbG4K15wFltRYIBYEYVeSqDbpPou5ghLn3IN05jrYbKlYVf4vPXkCdRo+Rh+9ywWl9F6WJ6DH7o+D0y6gRopfwRK9QIH6I6LKRLVVylVTxdypjYjYdPfm6EqNYFyNJHWkkTn+PrrKr/y9ENE6KyKB3j8ybDszhLI0NpFo9zRbxBZoJ00vMcP7bw2rRcFXmrShdpJW+FSJdKE30YkWwhMjSRcara5JdxaCp0GVhTWgLTyP61zw0rgekYFOWNML6E8ecHxmMvVLBMGF8vYZ0b8PUCZYJXymxyPsb7UAwov9pfZWgLCgpmsd1yLwXb4Q/D+5GtH55+gEGyWnVSR8qlKJCiQIoCKQo0KQqkkElRIEWBFAWWUSBlwC+jw5r8r3AriFmXZ+BWa8blFh0rZJ8AxDXNmjW7kMnA9Tk5OS9QpyuJRKdcigIpCqQokKJAigIpCqQokKJAigLLKOCPW0QyMjIi/fr1y6yNb+g8wBZ8+ZuWllbep0+fjIZuvwHby+jVq9eSHj16zN9yyy0XrrPOOmUN2PZq9X15ebkf01bISokOa13DJ854ca+o67obQ33sOoF+JFJaWlreGOCtLxjLysq8bjCtvupvKvUGzBKJKC8JO9YkCq1ZxPFDUT/6S/gxYG3TbNGiRdoHIV81ZftguWN0fn6+C7Eee0rKsah58+Z+fF3BX1KMReoHcA143o73WqRdMJC9Qzjh/OLFi71RYkPg2w1GTTj4gCspYUpPTz8V3L3dYf2WLVt6C0FS0QHD9RSMkk4IkjcQnQItkgZ/+x7D9RDwz8aQ9xcZ5YXa4N/k8rDA0J2+9wdKmhxu4FVnOMEn/uBLe+SlH/yTVPKyqnREto5BttaFTt6wlaJVWtpy+RD5Ox5arQ9f7cmzt3gtN++q9kNjyb9gwQJ/68Ub2n4HLZKOX0pKSvxxP39EaRdkpsnjr34Az0L6OkMD3rvJvYrRq+oSzqenp2+OcHpn+ToIlEyacDBCyKSDiT4RZ++b9hcMk7FfNoMG/uqwV3x67Zr0SAoP3k7c/BEXfyhrY9+TUQaiOOejl7yyNSn6Porz6uC6KXziYlFXwqSSl1WlGfTZlDLylT+Sk6JVJBLltxrDzaBVS2jWnR3hFeVrymlboIPaQAfHYy/BaMq41oSbY3EreCBZxmL1gzyfrgHvD978j62osxPRw5gXwJhDCR9t0aJFQsKYiHRrAJj+icD4wzFfs4V1ZgO0l1B9L87w5Vj8M+D+T3xCwVff8ID3f/HzmWCfX99tJXL9yIC/qfBCIsOYCLBBp3/BKxPQ408CT9LJCzjXWj9kZWVdgmzJV7dQLkWrRYuWSzt2di6CVl/hH4ZWZ+GXm7eppiFbZyFbH0KDt5sqjivCi4nbuegVr8h+gnxNXl7g+UvA+VtwXurZIc9wlg4dOnReInoY0wmGPzUfGTBgwIK1CWOq7co8Qt8E57CmT59enGy0YRurDAEKzqomG+7iy2ARXJuGIknzPVm9PIAvSVb8a4u38oKhobxU1LZMsuZbsmRJ8AuVyFZ6stKgtnhnZGR4nW4aY9FSyszHJ6QdU59woYsXwyvKVlLqYvFXt+CTQl6WLFmymDEn6G9X4ME/5VIUSFEgRYEUBeqRAqmqUxRIUSBFgRQFUhSoMwqkDPg6I2WqohQFUhRIUSBFgRQFUhRIUaCuKZCqL0WB6hRIGfDVaZKKSVEgRYEUBVIUSFEgRYEUBVIUSFEgYSlQ1wZ8Vps2bVq2a9cuv2fPns0TFusVAFZYWNiiffv2ncRhBdkyTG/VqlXrAv7WWWedbMuRf0X0zDB/165d1yGfd9cS/Oa6d+/eet111+38W0yNT+k0V9ChQ4eOffr0yaoxx7LI9C5duuS0bt26VRSuZbHL/meAX57wb7LJJs3M16FDh46Gy5Jr/l8PsWnCID4r4xXTzdexY8fc5cCRLk6keSsKQeCyoHVbveWDmLh/0kX66O0/kjxTRrBWXJr0F0fDlUAQ9O3ycLKOKC1q5EVpLu4raSMhkuVx9UkUn3iZSRMH06I8USOuCYHEyoEIZFo+Faf47PKC/FlDX6dFeTae3+OLrtZzVB+0UxdRQdW6M6S38JiP9LXlsoRBH+174Qjkx7gV0GpF+tI6Vsnbjn1GP3j7R9W6g/FBWaTSqmlEJawLxgb7GQgr9b99ru6IymKlNPI2dVdbusTrqKZKkwz1EshV4wHlUZ5HJrxtKhxPY7JJmWqyYJma4olLNJcZlYuqY02aOIi3OiEO6DRlJVqmKt4hDavWFVe8do9rXEHYjMoTRA7JzMzcLyMjY5+FCxceooIL0xtLuHjx4m3T09Pvb9as2XbAHDIhj8uczAuee4HjCS1atDg4KyvrgNLS0sOLi4tPyc/Pb70sV/X/lGlL/svJezsM3qxqjiVLlhxE2+cRX61N4gIHM+Q1b978vLS0tKsnTZq0orayy8vLtwaHK6nz/Ph+oO1WVHYw8J82e/bs9YFnD+q7n/xeTURSg7j0Tp06/R4YjgOfg+fNm3cIcDkQVmtc2BcsWPDX7OzsQysqKk5hENmwaiYEZX367Bpo3Ms03vOo/4CSkpLbysrKHqH86by3N01v+qJFi46n7VvxNy9duvRAjMVqCsm8DeDTwHED+uEoYDkIeE/k3UleTU2rLDYlz4XgtAsZYgNGhw4dOoJTQE/688gOHTp4vVol+YZ328GvN8Oru1M24R08vg40OQJ8rgMf5THAB0XZDFx7g8sVILEruiefsDG6DHh2F3D8L/3/mLIKnh1FBHnoStwpyPBByMehyH5L4/XIQCd4+y8Y2quDt7onoKN1hZ66Ws+cOfNY2rwbebgfeTkCGByIzZLFe19gORp/SFFR0QHQXD1iWm18neWBXntBr9vwt1OpvxHihHYdZOJvwsa4c5zyTVrgwKE1OO0DzdoFEavwT6O1puzSav78+UdR7130w2PAdHRc/2TS/h/QR0eisw6nPw/nPa+mehItjj5ug07eCzqqS/cGvtDwyJg7d24haf/GHwU+q0xL6mq0Dr3Zmv7cG7rcDI0OBJHYWDFnzpz10E9/J+5Q8xE2Zace2BFZuwie3zgeUXjCa4VPQC4PRiaOQB66mo7cdUJOjoF2x1FG2sXGLN47QNcjoNta0SXCVxsPbnnAav/fwSJsJVg7d+68Mf1/LPgdhk44Wt1gneTfFNxOZIw6GB2wL2NWuKCtYd8DmuwO3i3Muya+miJf3coAdFfK7oV/Bz8Qg3AzOnJPnhuVw0icCMAOXDWu9sK8J5HnUPJ8Bs4v0HGv8jyOuC1zcnJigyxxlRzG/VzyFOHXr5QQfYEJ3uPxIXxwswthNTdr1qxF5PuVhPbAERME3iu5adOmFTNZ+IbIKeQ/B2Y5GYYK8MEomkvcFNIWZmdnW9fPPLclTpx5rH8HQ69HK3+Hwb8GtgE8b064H2FMMfIcOHjoeGi2MemvAuMcBpBrQyExQ3TVUsWwD/kcKNOYRG7Ecyd48CnKvI4/kmfzOCB5Y4Hte4f7Z9QxjLRRw4cPL+O5wR0KLg8cTwTGMuB+mTALXE8N+6sKQJAsvRl5+gJz9zBN5UCcxoyDrHXM5v3/WBWI8aN0gmf+Bl32oVwHfMK7tm3bTgbmISD9O/C5HGXp71VEfv7556XQ6idwKSD9Byai3kSR8PhEAdTA643y3hHjsgf8vBPxr4KL/hhwPY33dCb0+xP2JP5DcN+dgXEr3iP2NXpne+JnT5gwYb5xtfW0mcNgtCt1KAfxxTIx2rejnRbUqw4aQeK/gOH3hBHktRf8dhzPQ4HvXfLsBAzq++XqIPKusfNXPoG3N7Kwi7ATdgDG3sCi3H4G7bw6Lh0e2I3G1uX9HZ6PhDf8QRuiIhFk6888LASHIsJaOwy19hhnf6yhQAZ06Q0NMoDjEdI/BaYzGQfsRyfY3Xg/Af8TcKizlDfHRbImtps6deps+vczYG+N/y802zoKcRljxXhwzoK+M/ibGY1PiuDXX3+dg07+BPwLoc/V8GG/EHHk5ldoNY/3KeYjbDLusssuS4cHtgDfXTHIWyKDWeCaDR3+DO/HFhCVFeLPJn42yKvHWqEfjkS/ZUMvx/X1CKXf36krGLdMo8zB1DMWulmOostzDRtfWFjYAji3A69A/uF57eTu4Ld3Xl6ezwFA0CMH+C8nfSGhduB2LI6dTGJz8mq3aK8pTwew4OQPL0Uokw3e20EP0P41uG2K/KvtYsCsdg3RggDlD3RsTriAzpsPQs0BsppBFs1e14HtZLpistFGG8VWpXr06NGKldWqg1UGTFntyIjMijHVBYW/FOBm0SnlhJUcBkQfIrxz9A2M5M8xhmdNnjy5CMX3EXj/jwHE1S2yVHcYHUugxwxSylq2bFkGg2hQx+hPHeNQkj+RHnN0dg6rsW1jEZFIKYwxA7+UusrFj7RYHTyHrnzcuHFzyPMjimcYkRqITqbM6/WHc4ibQfpi+mkm9S3kvcL2ZF6e69O5w7Adbbal/ZFFRUVTCEcBx77MbmN9JwBRQ/1U8g5j0JgKfV+BzlszgO5ouh6B2YF4Z7LjfMd7NWoRcU+yovgG+R+n/PvEbw7NPTKkADmgllPPk9D9fvJ5j3C1/qZMvTvgdFDYnoZGyEvAq8G2E/RwRYPoSq4MQ24M+IwnX2zCgaFRSP7dqesDtIKD60hKbQ4/bU4YOHDtR7livOXlgyA+kf99//33S5FHJ8fDwHdDcLweeJXnCuSzmLipubm5Dp4xWtDHHdbW6jCwrcilA5uDwgXw+94M/IvArYzwHnTJG9OnT3+QvnkRvPagEgdKV/ZmMRGf5TvxwQ4SOy/+6mRHdIhGbHCVJ+nVnIuvAvAAABAASURBVANkt27d/IEpdWNE3Qj9zqDto+AX9VSMB0gjOn0s6Q8hZwOA4278JCLVd5nQeRe8huuPU6ZMcdI/jve90Zc5NmxbTBb9sT3bitVr2up44GmGjt6e/r+IdvZBh82Hr5fyfCxwdYbP30Ru7yNuMPrKNqXVUhZQptGeCyCBkWAd5F8H4+M96lKvk1zdUYcDtpPaYEKiHqTcydB8b3GjRDxOThgm0XdPSyuM9HtJ/wG/CT6TcrsDZyviv5o4caK0cgJ6MG1In4j1oedaiyP51YUECeNK6XPHqOHgUQIed9PHwbFOxy+gnEa6/BjjO3V0dIxKNFwAt85cKePUZOgxHJ6YTngpxp397eTWcX0mcY6pIV3S4uhSZ0A0VEXaTOC3zb333nsR/X0AvLBovfXWK0beiuF77x8vgr9j4JCu3bcJcR+iy6ZTZhSJuzPmtIIu7uwvJO4XvBPwQDahY1/yLCK/99fH9Ddxa9OlYePtxE6oNp7Gu7IQYeHUhZLvwXNRPHDoy52J2wG8PsSGcLH0bZ5PQM93JewO7lPI46JtDjos2LUC7x2ooxz99bUhfo1cvGJao4oATOBVpo/Tyf4E9Ew68KU1qnTlhT37vCfM9gz+KIjYn62+gTyfDhH/ymD3MEp0IIrcX++KENcB7wrXKRD0UeJdnfEIwzow69kw4F9ZSTmTZt0WqcZUdMbRpEUYQD4ljDf4ynr16jWIzveHfUiq2dGhFfhMVgwPI3waOJ9hhSkP3wnv0QZ/HCdYZaOug4DxaPz+pD0A3P8BXn8ueAllc2CQg5jVPUkdL0UH6poazQHWh8n7JIkXsqK5EWE1R30OSjvTh29iEA+nrcPIZF8S1K1jIGtOe5vhZ8MfDqrScTqtdGfiV2kXgPQ+wJ5H3kmkRzAS5tEHrqQFhilwOnAraAPIY10OImUIxziUjYZsBeUd0OeR/hPKYinbXK4g9Cb+3/T1MGjrSucKcbXtevQqOLopwwHAZpygtQC+Go/RwN/oDFEy6zIP33YBP3dRNGAi4OUguxRabUUOzyBuRN+6bfc07xn4RuNAFtTSfgSXC6HJ9vD7VYWskEQRsL+DR3i7K/JxLi9HMMm5hnynwR9Okolaay5D4wYe2wlYNNz/BCRvwYf90VVfEo4ldDfMDi0F0UXg6Oq3xuok3tvQb+JQzvNs6smDDofALAMxqBxUqK6a83haP/TGuUwODqHdl9Alv6edjSl7OLk3p7zxwYDCe0TjFnn5AYM02MlADl0omEv+H2izBXk2sf3s7OwSnjXsJtEvG1JPNulb0c6p8NzxtPU4PlYveVfFZWr0AGtfjKVgAKWNV5nYXMW7ctoCeIRjP+Lfp3/dVcxhoUKYJkCnLHSXO3AeH/w1qhP3BO5Hwc88MV6JB4r2dqLc5cSdBOwvY2BvQB+4S2rZPoxlR2LQxx/vK4GWP6LD51Imgg7WaHOgdwHBxRGPts2Hhi6KRIB1PPm6o8toqvNO9MvfoeOJ4HQ9bcVWMcmTEA4apwGz+uMCaIdqyXxAHo4CF6Mhhn0+CJ1C3x8P7S+AdldBp9Xt+2j1iR1AF/v6n0BpeF5NdEEe8tBDR2AEnghtLoUut/EeHIujXCK74Bs9YP0DC5Pn0Pe7wqsDGEuvQAaHsEOtDKmn9PF4ZECXDfFp8E6xCTzLP23RCR2J+4r3FsiRC7yO35OgSQ/iekKjl8mvnRXjK94b2nkevR0w7YJOuRy4dgDmV8H7Rvz3UWCq4hyNjuzMw0KExEUkf0/pR+imTBdSjyc5XHRRJ2kzzkJe1iX/H9ENbxFKT4I1c3VmwKvUAOV0/Fb4f+O/RckFAwLP9eYg2BwI7pGIXJ7vpKHn8McSNxsieqZco3mf6IqHSmkeCvpR/C/ku5VBowBGPYq85WyP3EEdbiEv5r2qoZNBmgbwYhgz6DDKx9ygQYNKo0wei6v6gKJzIHbVajztX0u65+01nB24c2kzMNqYeGxBXlfN30EJPM9A6c8EF1BmHnmEqxXPP/N8Pr4nwrG8M80Khvnvp62fYbRbZCLw0GgmKnAypzAtpC7p45GTsxBkDcsgQ13+Y7CUjp4jWwheARz0lcZLDnStaki7KmaeYOYLTOXgLePnM/g5qDqY29/CTlK6irUquG3AS6P9AxJKMODll7OIc2vvXWDwXKNb8NKKLA3uOtGiW2mB8qMvxY+oiIZbrWACF3m/DD4O+BJjQUNC345BNRtecst/SHQlIZ3+t89to1F48MuAdz+CTy4DYAfH45ELeSXAQ2OCfvwHfj5G8a3keZQyfyO/u068rh3HAN+ZPukPY+6JHzBlypT+DAruiDloVQKKgb8T/bIuMN9OgjrLwW0cfeeKzUDCUdTxV/zn9O8UZGELBpxNo3qNIsscA5EGbF/yf4+heC90yACG/RmEXTn7hFw/9+3b91Ho5KSZ12ouDR7cEFh+YYAdRtlQXhcgn8qiRqk86vaxvHQiNSwi3wO0NYg+CM96El17h17aALxuBP/d8e5w3siEwp2xoBKeF8MD55CmrnuMyDNoSxmWz98FXlfF/Z7nUdK+Ax6P+Awg/yJotTlyoO6WZ0iu5A4G7rHgfBux60G3wzBgRhE3GD8cOt3P5MbFAJKrO3ZI/Pl2Fwg+J1X6dKDcPHYDfI6kp6e7sNAceJoDy+nA6U7iQ4SDo8Y/xRLLAX8WsE7CnwRk60KT8woLC91BCOSNuEz48CjSN4HHb+P5VvDZChzPIK1WOot8jc5JF3CdCuBXiC90ORO+9EhjTJ5J35e0bZCVB6HHpZTZkLhzkUv1OUUT0yEjhfByf2DfF3jfRVfdiE33RS2gVQe0oZzHGgM6QBf1QwT822KserTEBbg/QIs7oIu7UtvAO19ib7kAuxWyuSH85UJBLZqr2yz0S3fg9Fuq7cHhafTzdehKjx/XZEtUbdwdhfnoLWU8Ak6B3QieLfGP4D2KtjX0fAa85/Dud3zPWwn6fkvGLb/nWyN5qTMDHkKIjNsJ/4IQrlD/i7hgm0mA68lrEI+BQG73/oiyHQvzfAah5sA4IxGun0kbSds5rFxqDLrlsQTF7wrL58B5DwalR1SMH8mqlqvbroDKcNUISweplNPp8NWiG7B4bnIB7Q/DAPmW+jzG0hXDSsPLYxEB4wO/R0laM6iUMAiX8D6ZshNhLo1PjxBMp/wI8HW1zhW85a58UDYNYRwPXa4BX8/O3wg92vMcCBvPrrg4gfgCxnW79w7KlOM3MA1fpw7cNU5cYYzRENycZCzFYJC+sfaI16gVviAvxrd9kg7dSqHNAWRsQX0KizssBeC0JYoofrXDvH8mzxCEZTT5dWXwxVRo9xn9eAF4voHfs2fPnh4rML1BPTg6OQkHRlfPpYVG0hIAicXzvFxHHU6AYrSDPh4j0s8ER48bbQoNWmEkeU7XFYH1oIdb49JzufUmUIL9n8Yq+xP01V34U5BvVz8CJQtuhcC6PXhr8FUwEH1LHo81HET8WnPAuAC5ewUAphD+HvrvwGDlZJmo35xx8O6uwP8SvOngEUHWxyEP94GHg+jT4OjqcwlyP5jnQ4j/Pf5wVnIr4Qhf+yt9T9D2FMoHR1+oOzCqyb/S/mZg0dDYjLyvI2+zKMtjhQNUrCz8plGvDMufI8lzPMb1mcD/AYbr8iYGvyFcwxN1qHcd7D2msTVyvA0yGcAdzV6qIY2O+hZa3kj+lwj9FimgFYPos8QNgTYPAp/fwBS3bNnyS96P5b0vcuCuQ+zscrTOCGXuBvbvGWCVDVcRwzZj+IZ5q4bIUD7E2Ru8X0fHuuLmIB7orDAv6dLKoyny6gjeL0Z3/Z12R6D3632BK4RjVUJgDHCH1k5iLqLsHvDSX4E50DFMHDVMXPT4xkUr+sXx8mPKHdKmTRvHLoo0TQfPZWJ4amPcDL4nyF9iGtKGuKN4n8EkcBYLmO7SeIRze8oFH3WSlpAO/vcc+usANxlYf4ce2I5Fsko74qTV5EC5IhireAj4BnmS5yFJWhm8UYQN8yRxHhN8CjnclnyZtPcDcuBuhouVezCZ9UhNMPbV1Eh9xaEn/SbwHYCdC2w7oHd2wG5VB660SeTehbdYPnD06KO7/kuQHfX4E+ieIdDzTfTTH8g4EtzH0M7RtOdHrv9AlsLvTEiuya04zoFxxTlqn+pq6IYosldB5D8U80O6kwjr3UEUZ3sOJrYlE2kkhu+GrtyqmDV0v4OhPkEIX4NB76QTXJVxq8N8lterqOLfjXOlZziEz2YQDT6mMzLO225tGDCol06lb7WxKqr1AUrhWxK/gsmPpX4/4BN2V5AdBEC3IqiDNA0929X7Ws0Db5BXw4CCp1KvM+FzwbsF9QdpFIqnl+ekVTy1wYWiq+YQ6KXA4epOSwQ4aANaaFTOBB4VQXyFo8krkVyxj8Bbrgw5eDhgaLTtQdmrKfAPvB/8/QN8va2E10gEg+kA0hcXFBQMYBtdIySID/+xwuAxBFfwyxGq5dIwzF8fIfj9RF/40UugNBD0PNophwfchuRx5Y7y7jaVUMbtO1f9/EBXnvkeejiJ/hPtuBp0JaG7PPsioxr2Af1X3kJi5LAPkd17wGkw3n7vAb2cvPhdQ2v6OljFGTdunHykIblWjQngmAOPvUn/PAwFh0J7B69LGCT+HDdIuAXtjUyuML9NvlAmI3P4wyD3WJ6ruq4gv4GMeARtL+R4PPWOIf/JTgAIQ+eKWB9o0Rf5chDRsKymY8LMVUPouj/1TmIAcqegHCNYQ30y+Vqy2CG/OCl292s6EyVl+XHK3AE8h+GfAt9O5F1lh16YSZuvArcrV0OpYDsmEJdJq6qrc+iyBdDyI/LEBlAWaGZLK8q427YFsHyO0anuOA34nNDNIb/6lOA3B65b4HelPs+4uroaT6tYX/xWYtmTMCFDR1Lua+DxewTHDLfKR9FeAV3nuKJB35o8s9EvGkg3U7o/cnoQbd5WUFBQ0zhClsRx+fn5b4GPfXI2UPUFlyXg3Qz6qqfCyah0mkY+xDPbBSayNl3nQh8TlafsQ3D2I8a/EAb9D33aEa8uV1bkhwmkNaPP18oCUW17wQkH8vMGsHvkdjD9+zv0h2f9966iX4Iqwck+91m7aDJ4u8sU4ExkHu+LqUN5qpgwYcJs5HsCE1712J+If5u6ndD4fcsH5HWhYG90YqC/Kd9gLor368inO3dfAttOwHMehrVHcx1DVwSLFyn4vUsIt3akdobH5iLos2nYLC7MemSoFXajO6CdqP+P0O8b/Hz0nR+9rqiNFabFK6sVZlxJosZPewALVpAhyq8AN5D32szgVlJ1rZJtXx9BuVjAVdvgnRfDjIULF3pO0fPT5zMQ5UHMnMmTJ3v+WSPYlZAtMeg1zp1F+TFSNdoghB5F8Wzj32BGjQPzpMvgDDTbs0LYyS1tGLGDCp62a3KWCeOFLfYMzQIBAD5X3V15GwWja5BdM3XqVG9cCISGfLE6eLZ8fD3FcsEwAAAQAElEQVS+h54uqAgGEiIqENChMIxn/D0D3gWDKKxPI8I602BkjeUS6KhxEKRTti6dkxBvfnEAaCm9wEFjfBht2g/B/e00mAXzu2ruzReusKfTZ70QsKUYMe9D66vIszd9sjdxbk1/A7Jn9+rV6w3rpE/cim/VvHnzAfPmzcujvzby4zFX9Rg4C8wT7aN1KTcIYytmDFBvgzn6wwHflXLPx0GKtA2AZzL97gfNXjNYiZdIq9bXrCKY9xfSvDrSW3bW4Xk+lY2hz52k7gad9sHY3Q9a/YySvhd+8vsU+2KFuK7tRAxI0EjTaJQ/I/STu1A3gIc6Zgcm4n5ENtV3cAwnJX54qVHvpHdto1CBgbcAZf4NNL+B/n4AgDyedhirXPLllsRtQn8NB4cWGAbd4N2YYadOIv+2+K8oP5O+0yhtAVFKyO9gkZuZmRkbaNBDHhk7mfpGYXz5AVUWzxpV6jXlOWPIkCHNqC/QNYSBsx0mvEdRZzpW2NCuXbu2Qo9tjt5UFw4mk4NTLnHStZD2XQTxGNwfMeSfBQd1aS7Pwao4+VfHlTMBmA+tvsXfCF6PAM/m6MMjgSf4TQcqzVKGoUMb0l7jPd5lwQ8Hgu9oDQbKS5d88joJcVKnbovJD/JfQF4ngiORIY0N+SYT+ksfx5Dm5HFwDnVo0BY0yGVy8BfKTmrevPlwYGtFmY2EC7q8TKaW6FF3uDKAsQ/5PkP3LCBtG/r3aUK/RchGj8mvZE8shxx5k1cgbxqrvHskzV11j4eUQc/ZeI2U3cUZ6OVJP1j8nDG11gsPlGtMTr5Jo78DmBk7lyLX19G3z8Fnrq46nkXo76HQazN4xJ19d3SUx7Hkcac8KJvA/wJdhZ4ZybhxC3DeD34bwstHw7/B4hBxOvs74A9eyFLhWfEl8IRGuWmdiP+OVfXgmyyeI8iH3+MdD31eon5326SXuxmOQU5+ctEhYZ0WaUhfpt6hP9WxNyCfz4GUq/GHxAMB7O7YqUODaHSGl2poO/UgQrx3hAafoYO0nYiKRNAfBTx4w9dn7LjNA0d1kicH/JbI3dJ4upJ11VxdEQx8K96g6ebMXHZiINiYZ+NceeKx/hzEdmDxo84CByEI5DVeJTBdmwL+IKhKuoBQAl+mcJHnMYyZawlzi4qK/PjIrY6/YDT9H53kR0ieR90Upqs0AXFQoB63P3shkOeA524MmNtRzy4gm05d0+mkrcD2RRT8voSxQZK6PDMqrKUYol0o74THYyztAdNOzqGOlgwGfvwhDh4R2RX89gOX02nnr9ThDoKwZcA8wQ862QYw5Yk7z6ELfiSJ+O5EFDJoeJ2gCiiCAnLQu474+RixKiQHNgevbek7z2vtDw1ezM3N9XgO2ereQfuvaWMINNgZwfFDVbein2Litxg8e4HvXYSuHLszcAMQdOF9W/ruQHC6mnxjVKAomYX0iVc1uZJeRJ2zBg0aVEE/eIuL23M709YN0Ps26HgKhkkmxnwfBs5byHMkhoGDvStKrnzSTMM7jLhZwP08vhf85MTKweA+6DKFNPnlSXCIbf3Tf65+es65LekBf0KPWfDOQ/jfMVHpDRabUd+z9LvnDUtQTAukE1u688njDT0e2VJxkjWhXQZ95xljz4ZrEAX6CuPOm3Tc5RuNnGWCmzs6D9PHuzNw7omceOOOk6JnEg07YcffRp++CP9vDE9fD9x70i8XgetN8Kb87gpeADpx7sA1I115rID/PXLls9/9bEr8x6xwuWMW5leeXQ3dmzb8ELM57XRHr6xH2S/I3406D0Ge1CVBGY0w4g4i7QzyKDPXK4O8O3A70LjC/B3v3m/eB3iXovNeVgapYA/k6G/g4a1jH5Dm6jnRa+4wBn9ksL8Znn8B3bwxbd5J/x7LKvsBtFMBfuqysCFvF/N7ojT0gqvzTvb8aO4t4N6C/OsRDiJzbAAGZw17B9t9qN9VVBdObKcH8jOGMpvAX3+BVhpjFA2ckyGNd1fODgCGG6DVnfjD2AXIop6voeEQcvrBtcdy6NJmj6F3iC4/FL2jzrF/P4Jm3tZB1oRy8oW3WnVlfHAiE4nqF+XtHZBQ3uTB+6FPAXgdA328RSsfGsi7MfpGIpGEQmwNgMlgwciLArzTHHHpqREWVAdPXgHe7+A1QjXgPeInHx2IPvcWp23IeB+83OgmNsjRWPytyMnT8LYLl05k/Ri1Gfh6JDngD/SZC21+q7cbOHuFaw/o8hi7UI4zEfmI993glx9YlBsOPSLYLz8ij2OKi4sdrzrDV18x5qm7TF6bvgycv8NfD4xecR1cKgJAysUC8Pb4tTogQp/60epN4PVHxuIdCLsg01c56SW/LhP94FHPGegxj3R6RNZbjH6iHnW3FwG8acbV9cGAuLqF48vRid8C/NUoPu+x9orA94irM2Ue31bcsysFdnp/mGGUmpL2XY38L+FcOsDbPFw1/x/pacDjVskpMItnLV+HqV6krsUoXW/nuJbnhZT7kfBi8r8GMwY7CrzHHHW8B55+pf0N9WhM5VHPjwwyMqYTB7esvRWlTWFhYdDRFmYgkPn92Opc2ijTE+8Z7LeFk85/mXqFuzmht0CoLD0q4AqtN1K4kuPg6UqITLOAgVlF8h/qeh1GiU0WqFdG8ViGH5UNIJ+GXmDAo4yLac+rz95kAC6DCb1b/Urq8MOtDuAykOfn4pjQ6urUY0jOBcf7aWcieDtxeQS6+q2C58emQHvvbw9WLGD8T6Czhlge+V8kn30VKMsQKPrPK776Q2MHY49T+X4LdT+Jf4Fy1vcwdXnP8U/E2T8LqHcUtHkJA9ABKayuQUP6wKsSPSftfdLKzWPgOFAggFuD+2HgDISfuKAPib8T/yF4y1NER9yuex+6PYAMtAM/z/e/ZN1B4m//HFwvhvbv/xaV0E+uYLpF+wL95BGE9BBa+nIwdPk33p2TclabX+LZj7CdKLuD9DCTaScwYZFECkvn8Ec/uUvih5t38yz8z9Gvt8OP/jaD8Lqboj59z0mYEQxy3jn8IPk9u6kO0miKyQPV+pG+OsHBZzR9fTl0uWPRokXTkO2XKHcZ7yOZ6ElPq4wg6271jyL9Utr3LPmL5HuMfA+QtgRazyDNo0v+loV98gDwhDB6hMbr0rqQ/x4GaFfrg3rr6F8ZE5TZ6KzRwOTKmPp+HPruTfo3MBBsB6sKFsnUMHiB91Bvl4PPNXiPmA2l/OOkxRx0Vu7/SbwTgZHk80fy7sFgUYc/jzzdAk4/II9FsUKRSAU0HU28K3XPU/YFnh8j71PQZBH9s4B6At1GHI/p/dG5PxNfTN5H8F6x7ILNU9Dq27h6E+HRFWNl7E2IOQFeiukXcPuZPjgrJycn0LEYOMPAz8UsJ4+50OQ5JifuEicCHnUNQxq4O5Y/hOE1HWPW56AN6DKduP7Qy1Voj3lq1F1CovLmx53/g1ZelajuJbrRuXL4wONnS5ExujnDVeMrGWe0s0KbwxvPPFL0MfztEdeXWJR0EhvoJeRHW2QmchVbKMPucMHtQir0ljll24873VFMFAKVCqPAsGCQiYz/AL+fgV/MYmlMLnh/hLRPEHTttpuRae1Ai3llrHxSDN4fEBEsmKFLXWx7gPw6Fya0bUhePaewrl7J6qUqUIhuXX4AUw/lWUM4ALp61jqLqUA5OksciJCMHDt27DwI9AV+EH7CjBkzphMOmj59+qcInUxYyvMQ/APkfz0cAGbPnj2XfF7v9ijhMNIGkudbP9CpAVI/zHAm+TL5niff+yjnH4HDj5fcYtHo+oLeGTpu3LgYQ9KWW8OfUeZ92phAOB7/Pn7ojBkzhHMYNPO2CX804jCYoqJly5bPkf4og6eKX8N9AmXF70PyTsZPIn0gcd6T7gw5BNe+KJo+ffoQ8gwm9PhQIExmANZZlHEL1B0A8bHfvPnh7RkzZnxNGQc2s9abp42ZwPAx8Ht3rOd8hcUP0mYA76vEe4bZ9kuB6RviPkA4HCDCwdm0wJO+gLTh9iMRZQwk9s/b1P8W3quw3qS8g2Up7zOo+znCFyj3FXDUO67AtEIH/3h7iv0v3zqRCeQGOBcC91OE7hJZh8egxgH7IOI+R7E6eBqvLyXvt+Ajnb4CN48jGR/vLT8UxeQ3BPHxifpcAj6uwn5kCJABXQh1Ib5B/2logv+n0MYt2o/JrxEW43kLJJoHRnEbQF/JqwPggzeJ85xkiGcF+AwmPn4iUk7+Ma1bt36DtJeqpIliObIwCv8yfhT1jYZXBiob6KB5PL9GmeFVJndLyPsl9QpHTGbIF04cI6RNpeyHtCltJ9BQYJDwPgz/NrRXzypjgRyTXqcOni0Cxpdo50ngGArvq89jbdD/S8H1A/PFInkg7y/sRL1Cudd5DnUKKcscsH9vvaR9R/gl729JK8JAD1HO7wjC/rCQH9N67j2kk/33JvTRoJHflDH1+SfU+SF1qmeDcrwPpV7HmY94/o7I+Hp5XetOfpsAzJ9AR3VJMKaFUDFu/DR+/Hh3a40qBwcvUngBGr0P7R3v66XvbWwte8cNx2xtm2/o6/ixthy58oIJx1jB9BrjkdDkNfwH9LeGfaL1s3CuslfG6PPv8e/DH+4CungS1IOuCOwb+MAx7HvyOtEO0xZAi+AISRAR/QdtRrLwoh31Fumx4zbR5IQJwHcRff4tYWBnIgcxvIlzjNau0yaL6UuBNx+yNLCKrioD12/z8vJeI+0V6Wbe1fV1acCHMMisGlmBgg8j6zEMlCb11xSGccKiJ1vgVDTx70aaV9h9rppmXFVvfvEMywTpGNsFzMbHweAOZuYJ4vlnnaE3Xh//HjwjAG7rOiM9gpnfU2wZ38Is9SpmesVdunRx1SvIR32W14fvhkTHnO+hN18sIfpgWvQxCKSJ+AQvDfTPNivRL9puVXiF1XyG0SwrDMxX1ccXsH7bjo9b28/CVBP9jReXEL7wPQzD+DC0DtPC98Ycire4hGFtcBH/Ounb2jS2hnnEq6qvWqX4VI2riBrgNaWFeaVb+GwbNT2HcYbmqeqNj/fSVTmMj7OM8cLic3xaXT+Lk+3X1I5xwlC1zZBWlquaFr5bb/hsPeFzfHwYZ2ieeG9cVS9N9DXFC6flq6Ylwrs4C1sYVoXJtPg46aqvGh+fpyk8h/QIw5XhJE3s55Xla0zp9nGIfxjGw296TTgbX5MsuPunoS+t4utJtGfhD/ENw3gYjasJB8vVSI/oBKdGmsRXvLLn+jDgV9Zmk05nNj4JI9yZmJ26OriWMqt7DqP9cLzb1t5lfAdxA5azI7A6baTKpCiQokCKAikKpCiQokD9UCBVa4oC9U6BwIBPS0tbXWOz3gG0AVafnck4wzE0qql7t8HHMxF4h20mt2ddeRf/hMLbfpF3mFis8UwyoRCrBTDp6en2h/flJx3ukgf8A51BWNMKg1mSwiMD5fwli15a7T6FTsoLQUXAN6tdURIUZAdXveIH/EktW7XtascgXgtJNwAAEABJREFUZFC+Sko5bN++vb+H47dCSTkWIS+hXkkK/MFXXtdHNOC9dL/t7rvv3i0RfVlZmfdW52IotN9ll126JyKMCQlTA/QnCtYfUcrp27fvuslGA/jSax+9zq9NsuEuvmhMb4Xxh8kSUm8IY337P/3pT92hg3fuJyUPrAp9s7KypFUzdEbCjjWrgk995oWn1sEo9T77zvJYfbbV2OsuLS31ylzvo2+frLSaM2eOVyG3ZBJTkIw0gAe8tU8bsW0y4B+nH9L80Q/vxr0YInxRUlIyPNE8Ct8veP9M6M0wwxINvmSFR36hT45gYvXHjIyMoclGB5SlNwt4n/c/wT0hZQe46k2e6XuvbfTXb1+RF+qzrUStm0mcH6v7w2HyQL3Rem3gX9dtwi/voSs2JDyPupNOXsC51vwBjd7AgN8eet2MnkmNeSuwS6CPN3b1g1ZXK4+rQuemkhf9OxieORCe+Rv0SDp+AW9tRH946Tx4oMnjT197ZbtX+ma5Aj8PAtyKEeYP4iScB7aDAVhjySu9Eg4+FEdSwsQscC/6xR8D8o7ofZOJDmxh+UuYB4L/D/Dnvfg9kw1/+v9svLfgHMegkbQyAA2+BP/7COWJpKTDynhfeUFGvFnL26bu4jmp5GVl9KmaDn2Ogqf8Ya/L0DEpWqWnr0iu/OGwIdDrv8kqg9huf4FPvE/ca7ETgV9W1F91ngbu2ojyQLLoliPh9WHwfIk/blTKw/h33333i4EDBw5LNI9y8xqvImZW4z788MOEhDHRaNYQ8HzwwQfedzoNRprTrl27pOoXZQV+/ArF4XVik95///0vG4LmidKG+COX/ghNKXQYMWjQoKTq/7AfxBse8D72iT6H8amw8jgivxQXF3+NYboIfTEh2eRlVfmB8XgEtJpL+FOKVpV5qSotmRxqH3il6JhklcGsrCzHohnwzNRk5BcmMF+jV/yNl/HJgD9j7nf0teNOhSvwEZAPfiCGwSghHcDq/NGAhIYzIYlXj0DZKfLO2LFjAz6qx6ZWreoGyM3AEfAj+Ccd7pIX4yLAG0NeOhiVlF4ZgAZJifuqIB3KC7RK6fCVEA7Zkkb+qFJSy9ZKyBSfnBblK+kWH58Uz0yOxdvF2EAnJwXScUiWlpYGahi5SQp5Ac+00O5Iyg6P6/vUY4oCKQqkKJCiQIoCMQqkHlIUSFEgRYHGQIGUAd8YeikFY4oCKQqkKJCiQIoCKQqkKJCiQCJToEFhqy8Dvr7qXR5x3DrRV0vfZJNNvLrMLaZqaVUisnivsQ7il+v69euXSeKq4CssNcLUp08fYahNXcJpXpperrOd5SbGJYT5rC98jkuu38dDDjlEXGrTyErpEu2LVcXB/PahYW3gqLc8q0CLFcGwUjqtqHCCpdW2T2qbL8HQqxdw4mkR/1wvjTWCSldEg3hZWVG+RoBmvYBYW5rUNl+9ALmWK43HPf55LYO11pt3XE9GesTrlKqdUOf0WFFjVRtf6XvHjh03w/+jQ4cOZ+G3pECd1k99VV067e1KW3e2b99+i6qJXbp06V5UVPQ66dtXTYt7z+zUqdOe1HMX+bvGxa/oMY06t6TMWaNGjTqD8Hjq2BnvzSzLLdemTZtu5L2tc+fOx5KpEm169uzZfNKkSXdSxzmkLdcBYzfy/Jd6DiGThidBdUeedvhDyH8GodcdhpnS27VrtyHwH00dh0G3njyfyvOlxOeFmeo7bN26dSvgOvajjz6SftvSXiV68B66THD4AzQ7E1j92rxaPuI74Q8ZPXr0gT169GgZFqT+QvA6Ebr7WwJhdCyk3o3Jcwx179qQuMcAiD4ARw5w7vvhhx+eCTzyUDUco1kj4JlnXmD+PXGV8pG2Y4cOHc6mjkML+CNdl9G1a9ftKHMm/mw9ZU8i7GFiInv4sge4HAe8R/HcMYS1sLCwhTiRdio478W7V+GGyU0+hF/aQZODwP908N8gHmH4eAPSjiLtUNJiNIvPk0zP66yzTmvocRD+ZHgmXg+kQ8cNodOx+EPXXXfdTtClzgdY6my0DpptjP8/6HQYdGwTIsJ7Dry1EzJ5Cn43eK7Bxo0QhgYM09CVHaCD8nYqvFIY3za0kIeOIf5g8rWPT0uC5yzw3hna7BFdKBVl6dWDuBOgx3Ho5hZGhh56dcPvFpc/TGp0IfjtA/8fHQIOzr2I+wfhgdgcMTvEdOK3xW/jc136SgbAmlQM0BoUF6elpQ1MT0/3er0r6Sjv/V2TaldW1sP8GbS3Db511czNmjXzisx3iJ+GX66rqKjQANh+6dKl2cvNFE2Q8cD1SNq7sLy8XDyfIPyCOo7AnxnNVmNAugPEpoTSxedYPhSkv6Tmfa4jYpE1PJSUlDSnvIO2iqRSHfHZp06dOisjI+NHYDuG+DtQshsRmt9fbfuV583oqxxwnsmzA/2W1L3cCQF56swV8JeVlXUR7TfLzMz0+iuNtB1pQPgIfnMIyM5lZWVHgYv3SO+EwriY1BDONPDqQ19cQV2lCM3LY8eO9WrDCPR0MvZP4v9DG7HBh7IR+xBhOqK0tPR8aDlqypQp782cOXO+aQ3thQU4jgHOPuD4AvDsD85HAkc12TQvefYizy3QpA95QnqlU2Z/0s6inpdI7wLvn6DyxGgpoH7jVTR7k/4XeOIM4uQfqkhc17Jly0ngMhN/OX18Dn2dL7Tjxo1bDA5TiD+Q+Fm8zzM+Wfyvv/46F9wngu+p8PZT8PJ6PAeO/v0V2nQjveWMGTNmBZFJ/I9FEW9r8LasE5CZJ1q1ahWOE+U5OTm/QKte+G65ublFkKkCn9QuHnn0yThoswC63Yi+OA2dGoyP8F8x8TPIezB5JqE7F/DcVF0FeHvDya/I1Dn4J9u2bevYEuC7ePHiKTysDz2yp02b1mTlzQVG6NCVceYk7J/fe1oA+24beOMucN8fOyIYixiD86HR34n3VpytiouLz4Y+QZrjEfF/I2/R999/v5T4RuGiuGtDNI8C7ALu+jzfxvizK2EEvNeBDnfw/hE4boZ9syfxwRgOnbrzLK0mENapCxpY0xrtGDrtcAaPURiOIxlU3qfOaQj9GYT16cqo/BvankzbFcIBsfxVNqIjEQb2OcBz6/Tp08cFEcv+pWM/FmgMLXuNlFLeK/FmUof1NYNRA0UVTa8UzJkzZxvyn0Tehxgg36J+ghlfY/xqRA4ls0dRCKq72bNn24Ej6OAS2nclPDBIzDlo0KBS6nocRhjoe+h5b8lqhyscgRAw0GjUjKJ9YdWAtQ63q8IiYVg2efJkafMCEeujaP+JMScTRgB4AeVHEz9y7ty5swm/xQdKONqWR3yIqheXlp2dvR3tbwLDvwyM3g39PTT5K23nxrdofyIQF0HvrxiIR4DDXTwf37lz563Mh0HXG167iefX6OOX45UC+aeR/ynacGIUPzBnzpo1az/KaMj2R+naZ9KSqIZ3wNKFVv8CXh8xkRjP8zPQ5jCMMn/pldffHPiVQKePSB+GLw9ToENH3r2P/SXwGcvzp6TtPn/+/PWWLFnSDBrcQbk/wtcqleNo653mzZv/TJ6Edj///DPgL/kYIAcD8xH0tZOQgNfp2+nEO3H+hTBGC3BsAx/F5IW0puhK0BWfQ5MX6esCELwYnDsRKtuLCb8jTZ1WwrMu0BPdu3cPjVfjksWXYagPgx7vgnB3dM9NyFYHniPyF/T7Gh0zGtkKDYqAVu4QkifQuYRJ6dChxRgib0Mjf+vjOHTIQRBCmlQQ55g7AjqNIS7Ur+mMMW2hbyU9TnqjdsOHDy9hnBoCzu+gdzpAk4vBMeAhFpQWE/8N/keQLMXr0h23CwsLlU3fG60Hhxbolt6MJUdi45wC/l4FOx6alCJX/pDdAGQrpn+RpTxosQH5JhIOA3HvqHfBrRnK/GDSf2TC9yXxCe8K+GNs7QPuB8j72JbaWhH6vB14uOA4g7E14H3Gpk3AtytjuLbUDJDbgvwtNP7Jsy35vwFvxyyS6s7ViQGPoZ5DJ66PDwwhBR8QNZp3kAF4rqVb9Wy0qUKJQODuzvZ47w+BN8VAbkbYjxnj+RCypzUTtoMZD8R42bGoqMgjJIebhzLWUQaRu5P/TGaIV2Ik9qKM8QQxlw6uJ/A2l/a+Jgw6jzCCITaJ8CHarVqG6N8cnazLp/0DYfKbaM8fBErH8OhJm2cRr5FlgSzS/gxMO1Fgf+A8mvQDFy9enM87IFd4lOIA6riRtANkFAvV4BeS+R7K9AbmMy677LKwz0M4vYLLuAwGt11p7waU07nAE1tlqKHO1Y5i5q4w96aC+dB5CaETqAnAtznPGl4Ey9zChQvtg02AyclGhNB8rr5uj2Dlg/tV4OZK5Hhg9piQdS8rHImUUv9i0svxIa4RaNqW92Pxn1NfW+pxZyIsszbCXuBegA92iRB2jfi2AOIMn6CSq4D/ioFdYyPGe+BRSFw36nAwjRBOw2dCn9+jNJivzfiUfwtQuiXE9yb/NHTT1Eo1J/aLBumTwP5P5VdQGUzkWSeDhhH6MR8e2Jf4PcDvRJ53Jl88P/DapFwafT4fmb4WuvSir/8PmXXhwXheMwK6gLFHBLcmYi8GULf6j5VWxCeNY5HCRRVX4S+EZv1A/IyQBrx7/V5MP8Bf/sLhX9jBOg4e+it5gwkjYVI6jBf1zOfw2KsQ4BLGoN0JHW/lr7RFixYZRpwckrY/+sn0k9CzO5CvSdEOXpmFvxa8+kCP40LbhrgMfEAH0rKwM7bDyN8be+RY6HAk7znENzaXCexbLFiw4BQA3ws9Mx0j9V4M1CdYPNBArXACTJoLBvIIjxHHHsdbfx+kGTRxNd7fSqmgrj7UkQvd3ook+F9+fn5b9MAe9KE7/73RnRMZV95g52kW9p14bQduk0HjJ/AJxhje3ZUiKpJOXAvel6JDyufNm+dOeTZy4aQlsI/NVFc+ZLo1qg/kNMQWALQ/ZxtfV4BcfERdP0OsCoweZ309aP8jfCfeT2VFtjlhG9JPJa6jHwhCxAvojO2IH0T8hoSX8p7BszPIbPL9Dv9Zenp6B8K/IqDhlkkANkrflYUdKDcJZq525ALGHh+3khOUqfqPeh0shHU27Y7GXwtzu1Lqvb/HkX9rvLO83Uj7B95foZ1BufPwPWnXiQaPFRuTptH3OfnPRJHGttF5jzlwSQdH6XIv+U+95557nIAE6VQiLAqdAliIgLmS60rDQeB4MvhXOr8WFFrDfyiALNp1cjAXBg9XLIqptjUCU2nlH7g3AGZAKfeHOiIMqP7omDsFnSi7BWlbU5cD806Uvxk6nkUYc6QF+MUieIB+fpuxGXVr7GxP+AgDT41HVsjeEG598FgCrItsDGSlhUrA3ZJq8JsHXymesq2pI5P+czclAp8v4V0j33Pu0ricMoGj/l14GLEyPiVPwjjwcyJ2L+EA+u96lOtO9Js8G8JIdObRaWlpvZm0vUE+Fw+uol+rfRcTFmgKIX3cDJkZBL63g7OAjtcAABAASURBVM/x9Pu+hJUcMrEpfX40euBb8r9M3tN4dlCud91cCZC1/+JY9z5gXAgdjoFu7sJpYMZkCb7akbQzoc9gaOYYcSn0O4kyTd05wdFXxTO9VStPl0bcsb0JmrjjdQd02go6KX8B7Vw8Qu5OIr0roUciHZf6k6/GMalqI43lHdlx7HqP8B78qRjof47CLi2CRxbTeiOHR6CLh5PnNSLPhS6O6/Ifr43DgcduQPoUinUu+NzBQtCb7EK4SEl0JRfwQBiTm5s7B94YxPsfwNud9tuxm9yt6A09XsEILu7XL7j4gywJ5zKYbB3OzsK/0AGt6MOXGWeeBOZPwd9jx+UzZsxYF/zWYbFTWYjv06+Ifxe6qS/aU+796GLrnuia9yi3QBu0rjGOB2C162bbfiHAPwjS3TGyrmXgPIh3GeCncePGOUNb7bpXVhCmSINYxbT3EUa7Z8jf4HkdJhWZEHkI6fPx6aw+5hHuDVONlZiEDmil5PmEeFdhyoh7jbRPCS3XhdlnJaWG0ahB7wp4MLuqAbaYINeQFkQBmyvJ3wHre3TsU7Tt7kVn2h3DsyuowcDKsysYJcQ7MfKYyVTi/PXTYhgri3q+ZsIwmOc3iV+CkGnwBW3U8K+CPnqYvI9S7ioGJRUPj2kBvJSXD8azM/EUdT4O/p6x/hOTgkB711DfakcBgwKvgRozKqOVBbBEn4MAuFzZcIIRm7nCY07YALF8Q9JdCboJWvoTyk+Qdgm4aaAH5Wv6R0EHnzEg/zjlbiTPM9TzdwTX7xJ4bVhH204gS1CU4XGHCDCKV1X6LBcw6pB/S+CBqrJWiaatW7fuTt5OyIuTvuXWl4AJGdKnRYsWnkEdDfxXYCj4QWJAIwyFQmi2D37g7NmzHXDep3+nwGvHJyAudQoSRkQW9HiFSp+lb+9ksNwSOVgKLwR9Dx2csBczcfZ44zjS7sfvi5xUO6JFHU3ZOU6Uo3NfhiaPgei/kfme0MzFJ3WSxrzG/Rh04Dj0rjusT5P3PPK1I3+TdIzXm+Ovw/C4kfAEfA/0RCtkqjfjeLA7CY0y4acljA+n8zwd/rkqLy9PmpQhlxWs0m9A/J+Qt7eVP579Dm4hfHlEYyJaLWBNA0cXSp6DL9yRuAvDrhf4ulgSFEcHnc7DDOJ/ZHxxnHmI9wPhIfUVj43DoWtdyPsP+GzNsycVujlRWxn0UXvvIXjkQ2h1Tdu2bQfwvB1+FH4+/OXFH+cS7udq9srqa+h0+LwLfavdUwTexexUuwBWIRzIRB44HEJ/f8KunsfI1Bvp9G0O+mIhK/fngPM35H2AiYxjrDv9A4jLQL5O/+ijj85F73oMTV1DtjV3Gm5rXgs1oPQGAehhIPcdYS5hCwjxLEkN4fwwMxjMo425jZyGER8zwMeOHbsI4r8DTH1RTA5eXXgfzLZzYBzybGhHBZ0C/Bkwr8/RKiORnJwcV901pjuS5gpuLC36ID1X2jnULawBjJRLRwmm9enTR2PV8sJAdMRzm4Da2e1xV6ynohDjZ8DCG6GuAEZCy1pueR6Qy6/i39vg6oegm0IL4Qjzl6KIbVtaes5eQ3KluISFaxvC5K6iTwOOHPgkhNndj7n0V0wRWh84uZJqnuBoTVFRkTTKhQ6uuvtcQpwf4Wrwfkp++8ejOBav0ZPH+tzWC1a8oYFnY1sAT6caC9RzJPCMxzfHIA34ib4JQuDyY1z7Y6UQmBdfzgAbfPkOP/mhczPq8nhRrDzGyx68fMdKih/s8dh4HPhVODjAM2dAL42xS4A+DwO2HH5wp83+C+g1a9YsJ+0TwL+mY0gUazIuwJcVokXQ5Wbo8iE430+4Fe/hwKOcqytCPfETvJ6Hd5BqMoSoLSIe74Rf7ib/N9DgVsKe8FZpQUGBCzM9eI7pIOj4Je/uQmqskrXJOXdnO0OP++CbO8HO3b8j0CMnEbcV+Ae6lXiNlYoJEybMhmYaqO2XLFnyb2iTzQp9ObzWjrxtWeBSt7rgsoB87hoHEwDKNxkHzhUY5/MZq67jeTj+XpDbFPopb+K+Me/Kmp7HyHf8czW3UckbunYOi35Pgd/lwL8Afyz2wZEYsVutbGeecguxBz9nbB49Z84cadOK1eiv4BGN1z/BGx6j+SsTnELqTSRXBkw3A9D1+Pbw9VHgcABG9xZt2rRpSR/vDA774k9BRvqTx+MxW4PPsaTne6QIQ/5j8J/I4u+uxP9KfcOYFFimFe/PU8YbGj3uy+Oau0Dg1ryaZTUA/NctW7Z0duoZ3hEYEhpHyxLr6T8MBj0rgoEsvgnjeTdez2OkBAI6ofiVcH06Yxi+/6BBgwLBM0OcV2HFG7dBkh1EmSd56YUCq7RiiwHu2TevllThS1c9Wau5EJ5YgrDm5+eHbQbpMI8fgHxMmkqwgnZvZKB28mC5qrAFZUyowcfSVDzUcxkE04DzGsqwHicT4bPGcDbtToRJXZ2qocrVj4KGDpAjqL8Ahe+OhrcIdeZ9FHBpWFt5oPx4H0FfTSQMvmGA5h15ziVuOHh4A1A6MxyPibirYT/OYeDxQ2HrUJkGuFN3EBpJORVJLgZzsGMBnT2+8ithcEzHPA3pwWck+HjkpUO0XWkxh3gnL0bVxEf2VQwnDHMnAQ624Za1BkcFtPjKCvSuEhDuAP4DCBubi+GKjhkLDtfinajtxKR6Cc/eNOIunINnPG7fx780secYTcQLukyFDufA69Pxh/GsbJk0nn/rOsAQerzKctPhjbXC78Kwlrx4B01jxE/m4WpkLJ8x6lie0zA0NF6Vo614D3dB3dlSVypbRDc5V4HeG8y4Mhr/A4bHk9DjbnjHox+vY4RVwxs+G0H6f/Hbo7c2ZWe7FH6bwzuv5bEJM3GOHSObGMVc3Ar4CMNuMgifDZ7F4H4IoeO+C2rjee+BoZsb4g6fzcLgD443hnGNJYQnprN79wzwPgJek/A7Y4zH+pn4gB6E1RyrzhrBfwb/D5Evj9Y4KVSepkCvlvhO1Qqt/YgK+H4ceD+L4f0setKPtbdljHXl3b69Crj9cNejYuoRF8m+QL/K7wH07IJ6RLoLsvQ2424WkY7L85Gd8ZRVt8TTj+TVdzUZB6tfWySSxiztAID0K+SbWOmr92uVIJLnpjVYgpXLSCSSB5NhGzYLVjWBxdWBfA1snk+GmfyIsSthZwQwICSdlMVzAZ0UrGBS3hXftsRVow/tPU0bGtdXwqB+EJXll/cTJ07cmzrz2TIqIf5ItojuJqx6L6yGsoZja7aP0jFIc2ireUlJSR4zXju2He+WSSPcGXi3AoYCfDd99+7d88hLUnou//LY0koHnmbka8t7oECALd7ZXjeUtBOqIB7mdJC6Hlin4sMVdg3Cwtzc3A7t2rXz49AdSHuV/nMVOChXh/88AvMZMM8Bp82Z8Dkz3YznF5hgLKT9jaDdrRjmvWB4z156PGZrcG0JHsdR7iVmtV8A6+eU0Rj9B2l+7+A1pp8iMENCWMmbQ9824z32ERF0+oL3cTDIHwgzef8juA5jsvID7w3u4LnJwPApcG4OT9iX+wP3G+D+C7i0gxaPMhj0DQGDBu48eJuIvBpMdBh8J1HGo1R7k09e3pL3T5mkxG6a4d24LPrfj2nI1jgcBnomsHelr5VJgS5jQBkIHVxFDW4FKCgo8Caad+jH0+CfztCskDLZ0PUJCzRFH+WVDZB/V/bSIiBJ344D77OhwyzCQB9Cg4d53xh+9zsR2CzjT6S9OW3atNhEl6JN2oG7O1Kd0Z3KTYArPDQauvh9lDpe/eBE3tW3bdE9u8JDfnC3J3luR740OoJyTeyfRyvDRZMANXR+EfiOhpeCDxXhH2nXjTDgJzKVopdegy7KViB/6LAfef+EtPPY0W5DXq/NI6pCw4/oxu+UN/DqjI/xEOPQGPTSmeii+Xh5yEWje4jbnHzb9uvXT921B/L20qxZs6Y0Jiow5nRCDn5H2Bu/Ofi1xk8Br48xbEO7TvuiFfi1xUB3nI2hqL0FHY7GD0bXqJ+d3DjGdiRTHnWVwzd1fisLddeVK3OShix4LNsLFAaCp8fr1J2vg9PrvBfhZyIrn7MwGRjw6g2U7I7Q6SvKFjE2ubA4BTrkQUftMMelyXUFpMqrLuryFpUNAPBoEBLASwHem0OWOzuri0apIx3CKCxeqdYS4rkaqyB9BQELIaQrcm5b5I0ZM8ajF8ab5zS0y7n4m4H5fOrpANwfUldP6vAOZW/rGI1RV+3cGqs3s2C8cymjwXQK+W/AUDqZ9xkMCl7fJ6PKzF43WekjOhTfRrRp541DoP1A01XEZ4C1gFmteHxG+kQERwXoYLwUmE6k7rPxl9OOqyPezDKT+AVz587tRrxb5B9TRyuVDO+B84MJJhZ+Le3Z6o7rrbeegmNaBYrnUwb+C8BDQXR1349OXqROP+CyraEY1tJN5rNMnXoM9V9RAv3BdfsWLVp4TvlVDNb3aMTjEM5Y3eIPJhfA+CT5hjExPJ3+nJqdnW1/lSgwpHkm85eFCxeeBj4F+AtYERJfP3jtwLu7Fy/Qt91bt26toRNxgKK+q2nfH7o6Bbql5+Xl3UK/ugIHCA3rkJNFwHIPCi0dnjgLeL5lEqhxWorBkQms+eApPwlYGgbtltDBa0T94MYrKI0vz8/Pvw88v4Af/SGwDOq7C5q69Wm6x6E0+D23WS99GjRSx/8wBrLBQx5eCl02cKIWbaIUXn8QfK+CRhl+kAudrocuL+Dd8j0cXn4C2nqlV7RI0wmkAzLk1q1G1ibosFC2IwwmXmd3PnTQQE9DJ3kF4JXQYy944wLoOBoZug9qNBo+ANY1cZnoTW96Woo+2A6d6CBqfepB+eP/eJFWXsH5Fnx0Kjx3EOG/4K+B6EqPSNT3OAYIieeQsTzGJW9BczzciPdAD6lj0Vl3Q5/bMdQykbNFjJVXQLPByKPhPvDZfdAuMNwSD7NVg6iwsLDF7Nmz/bFBj25uihyFu6URcHSX73zwdSU2DcPOCyOugRYHjBo16t/Ef8X44jl4j7GtWsMNmLtqU8Dv2Om1jweBQ+Dpb49I74McuQgZQZa24LmI9J+ZJPekjmDMJozAE1sQP5MxyGuAA/lhQfMJ6nD33HpfId3dQbMnsg8muehVV+UrTXYB+g28i4gEyxz08EjefPSuuqUiOja9ij4uBd9j8Y9Sl4uIywqs4f+6MuDLMcQmtGrV6mmAe5jOq7b1toZwLq94Oe29DbHORHCexY/j/UbeL+R5KN6Z0imET0PADRjEvGllT4TOawi9m/NECJpBmffIE6uD59uIO59Q4azWNsbeLNJuxdA6GuPqCpj0Bup0plZKh6HDSp6FUftTt18ux8pDFz9s+Tdlr6X+UZR5mfDvvD9DOBx/Dv5KyvpRcD+U5CXk2RG/LYOKP+DjtUXTyXM5Za6j3TGEA8D3TPxLtO3xlKC95557rmyHHXb4nPQL8A/88ssv8bPdCmB5l12D4EgOzzOH/Dm0AAAHMElEQVRp4yaE9lzavpH8r2ogBxXV0z8MELdsr8MgvYO236aZwPCm7e/wJ+A9OxiB1sWkP4mBar/ey05F7ENN4F4ELa5n8LgL/B/SOKeewFF+BumPkP53/PMo4NiP/VDfGPxNCNuDlLt/bPTHn4KCa+EftJgCPPcAz+3A+mjYj/TvVOIPBA8nN0Lm9t5H5Pk3/ibiHTSMD+60Buf74cdbCB+0bJAQ/QeeA4n3CFk0JvED+n5x3759BwD3ReD6WjxPevQNGjxKnzsJjZBnITheg4z/C165Cbopj41q0Kxtj0gH8PsMfy54P0JfT4srW0rcZ9BG3eXAWUK+lxhgndjdDI2eiJehuHJN9bEU+nwKTS4F9ydDfgmRhU6D8H5wFkRBqxfxZ0Cv64l/LohM0n/ooYU77bTTi9BO+XuP99j4gs6aT/xDGPPBRNDz8bxfyDh1IQbrbdDaCxfc2W301FNewGcw/HAu/gnwdOIc4lUKv3xKfEze4Lfn4J9zsTluRm89qbyGmRtLSP9+CM4Xgeslcf5i8LwCHxyNQpa+Az/l6hJCP96M6dvs7Oyf4QNPK8RQ/vbbbxdSl7+X8zTpj6Pf18qiWQygNXyADg/r46th/PWEg4Z9YM+YBj84wbmf52egqbt8dSYXdWXABwbEWmLUkGkkit5BC1pFDH0PniGst9D0Qagu6dix4z9gUH+Zrw9G8otkCLY/CM0fX853omt2KjSYUAMiptjI6YdBntX2Fz5jRxiI14X1hW1UfTdPhBmAx2m6Y9Cd3qFDh3PwJ/G8P4mDEBS34iwf+nj8yfKb04iPvoV5o6+xwPjYC8KlgFWdZcbS6+GhTOUYiVSruRJcpJZHeatqPEmRimgdIR2M05s3nr6+Gx/6MvoukRRI+XLgCXGIwR19ML4qTsGEh3TTCCo5B9pq+SvlSLyXijgergknIa6EE8pyQZRXTGvKPuR36VKJBjUhLW8p3zWlJUFcSCNptlJaQY8l0ouwNnnJ1mTdKsvfzJkz5zdR+ZOH7GjDlfKF/MNYHVyUYKFG6sWzJh+iozz5bB7p4nPgXRRbDh8swehlyK7f2wkDINbCPxDz499qNlR0glvnO1J1ZsCvBVqtUpMwzWBWl49ildktZs+ee37ppaKiIs9lrVJdK8lchhHhdosz8tgsbCVlKiVTfjoTjguA9SUmHH6MpoB8xIq/21GrVWelBlIvKQqkKJCiQFOhQAqPFAVSFEhRIAkpEBjwGLYaiAmLPtvifhyypjAuZQVqLP5BfH8Meo/ceKyk0syxjoigkR3OTlenSldjPabzKlsuV7NFdzfwjnTFf3Uqq88y8k5+fv6a9k19glgvdTPBEufQ10sbjaHSpUuXSoPGAGoKxrVIARYiUnxSS/qnp6cHtFK31rJIsmcL6JXkRJAG+qQkg7KiXx3kG1sZ9UOIqwa8PySTv+uuu3bs169fp0TzpaWl3sriKnQusHXAJxyMyQiT/ALje/NN87Kysva+JwsdxLW4uNgPefxlvlzfkwV38RRfFIgfBXtcrJXvxieTF2c9u2TN8AmrPxOhT6QTelx58Whg0snLqvYBsuVNaX4wmiftVrV8suSXNiwgtIdezVjka8l7UtoHjMPewudYnA0NEtKOq0+eFH90sDe45TR1/MUPfg/0Azh7W2G617MdjQDcRUTCeYC9Ee8Hp8fQUQkHXyLSrCFgivLLbvRNb1bX7mKAvrsh2k2ENsSdWfBt8OP64H8Y73euPlwVjY6nwfcucD8f3PMyMzP7+55M+Iur/I637zbj/dDos+8pX1GZp+UPdqxugme6Q6sjeE8qeQHnWvMENDJvf2RrM57PTNGqMi/F01KZg07XE/c7aHUiC0lJMwaBs3yiHr6Lseh28P8j/s/Jxi/gLA3ULb3hhb81dfzlcfD0R6S2wO7K9IcqLiNCIrwBI7yeaJ4OegV/Bd4rFF9LNPiSFR76wy+t/4sikX+Sql/EHbxfxvtrhBrybyYTH0TxfwJleRY08GabhNQdDdAnb6A7L6ad2/DJSoOVjhnyC97LAs6DXnfwnFTyAm+slEZhHujj/dLPI1f+0rBXpa6Yr9LTa1132EYTCt+ATurhy8DpXmlHmFT0EGdo4A9vXYNcXcd7UvEL+Cov8oA24u28N2n8we91xt0X6PNL8F+lDxo06In333///g8++OChBPb3CSP+4QSGMZHpV1+w3Qf/3JusfSLu8GSiy0699D24P4i/B/9gsva/eIP/vcnKA+K/Kh5a3ZOiVe3GWWh1L/4B6JUa81Zim0AnZfCBVeHFJpj3PnDSTkpKfgl5IBnkBVwde+X5MZ6BZ+K22i5VMEWBFAVSFEhRIEWBFAVSFEhRIEWBFAUakAIpA74BiZ1qKkWBFAXiKZB6TlEgRYEUBVIUSFEgRYHVoUDKgF8dqqXKpCiQokCKAikKpCiQosDao0Cq5RQFkpwC/w8AAP//G79iXwAAAAZJREFUAwBo6M+/+L1QBgAAAABJRU5ErkJggg==\"\u003e\u003c/p\u003e"},{"header":"3. Girth weldability assessment","content":"\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Production of final lab plates\u003c/h2\u003e\u003cp\u003eBased on the evaluations made on nine different chemistries for Charpy toughness and HAZ softening, the low C, high Nb (heat 7) chemistry was selected for actual arc welding experiments, since it also represents a good example of a high Nb chemistry within the chemical limits defined in Annex A of ISO 3183:2019 and a relatively low Pcm (cf. Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eNew upscaled heats were produced to provide enough plates for the welding experiments and the ingots were TMCP rolled in the lab to reach a final thickness of 20 mm. Tensile and Charpy impact tests (the latter at temperatures down to -100 \u0026deg;C on specimens taken from mid-thickness) were performed on the lab plates produced for welding on samples in the direction transverse to the rolling direction (i.e. in TD). Mechanical properties (cf. Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e) of the lab plates met the minimum requirements of API 5L for PSL2 X70M linepipe grade.\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\u003eTransverse tensile properties of the lab plates produced for welding experiments\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=\"left\" 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\u003eTest no.\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eRt0.5 (MPa)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eRm (MPa)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eAg (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e525\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e606\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e10.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e532\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e611\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e10.8\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\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e3.2 Welding experiments\u003c/h2\u003e\u003cp\u003eAs joint preparation for welding, a semi-V bevel was applied on a 20 mm thick lab processed plate with permanent backing. Multi-pass GMAW with interpass temperature control was performed using an ER70S-6 classification wire (according to AWS A5.18) to simulate the conditions of mechanized GMAW girth welding practice typically applied on onshore natural gas transmission pipelines in the field. A welding heat input of \u0026le;\u0026thinsp;1.0 kJ/mm was used without a max. preheating temperature of 50 \u0026deg;C and a max. interpass temperature of 200 \u0026deg;C.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e3.3 Properties of the welds\u003c/h2\u003e\u003cp\u003eIn order to assess possible HAZ softening after welding, macro hardness mapping of the weld cross-section was performed. Vickers hardness (HV5) measurements were carried out using a 5 kg load. Coloured plots of the hardness values versus the position of the indents, given in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, demonstrate that the highest amount of softening took place in the re-heated HAZ, and it was more evident on the bevelled side (non-straight fusion line), but it was still at an acceptable level.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eTransverse tensile testing of the weld was performed on full-thickness flat (excess weld was machined off at root and cap) specimens. Fracture took place in the base material for all samples, which indicates that the tensile strength of the weld zone was over-matching the strength level of the base material. The tensile strength measured was 620 MPa and the weld thus met the minimum requirement (\u0026ge;\u0026thinsp;570 MPa) of API 5L for PSL2 X70M linepipe grade. Charpy impact V-notch testing was performed on full-size (10 mm x 10 mm x 55 mm) specimens taken from near the root of the weld (as described in ISO 13847 for a wall thickness \u0026le; 20 mm). The through-thickness V-notch positions tested were weld metal (WM), fusion line (FL) on the straight-sided bevel side and 1 mm distance from the fusion line (FL\u0026thinsp;+\u0026thinsp;1). The HAZ outperformed the WM as it showed excellent Charpy toughness at -20 \u0026deg;C (cf. Figure\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e) and no toughness deterioration was observed in the CGHAZ after testing of FL notched specimens at a lower temperature of -40 \u0026ordm;C.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe fracture toughness of the weld was evaluated through crack tip opening displacement (CTOD) testing at -10\u0026deg;C using BxB single edge notched bend (SENB) specimens. The through-thickness notch was placed in the CGHAZ as close as possible to the fusion line on the straight-sided bevel side. Excellent fracture toughness was measured in this location (Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eCTOD fracture toughness measured in the CGHAZ of the welds\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=\"left\" 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\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3\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\u003eδ (mm) / *\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.68 / m\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.73 / m\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.64 / m\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\u003e* Failure mode m: readings are taken when the first maximum force plateau for fully plastic behaviour is reached.\u003c/p\u003e\u003c/div\u003e"},{"header":"4. Conclusion","content":"\u003cp\u003eGirth weld integrity can be ensured by achieving high strength in the HAZ (via minimised or controlled softening) and the weld metal (over-matching the strength level of the base material) together with an adequate cracking resistance, in other words high toughness. In this study, HAZ softening was systematically assessed via physical simulation of different HAZ regions on lab processed TMCP steel with varying concentrations of Nb and C. The highest softening occurred for a very high cooling time (t800/500 reaching 20 s) with the degree of softening still being acceptable at \u0026le;\u0026thinsp;10%.\u003c/p\u003e\u003cp\u003eAdditional experiments into girth welding simulation in the lab using multi-pass GMAW indicated that the low C, high Nb linepipe steel concept, designed for producing pipes with a 20 mm wall thickness as per ISO 3183:2019, Annex A, is suitable for onshore pipeline installation. By applying an appropriate welding procedure and selecting suitable consumables, it is possible to achieve a weld metal strength that exceeds the base metal, as well as high toughness and a minimal softening in the girth weld\u0026rsquo;s HAZ.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eConflict of Interest\u003c/h2\u003e\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003ePartial financial support was received from Companhia Brasileria de Metalurgia e Minera\u0026ccedil;\u0026atilde;o (CBMM).\u003c/p\u003e\u003ch2\u003eAuthors Contributions\u003c/h2\u003e\u003cp\u003eAll authors contributed to the study conception and design. Formal investigations were performed and the first draft of the manuscript was written by \u0026Ouml;zlem E. G\u0026uuml;ng\u0026ouml;r and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgments\u003c/h2\u003e\u003cp\u003eThe authors wish to thank Companhia Brasileria de Metalurgia e Minera\u0026ccedil;\u0026atilde;o (CBMM) for supporting this work and for permitting the publication of this article.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe authors declare that the data supporting the findings of this study are available within the paper.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eY.-Y. Wang, S. Rapp, D. Horsley, D. Warman and J. Gianetto, \"Attributes of modern linepipes and their implications on girth weld strain capacity\", IPC2018-78809, Proceedings of the 12th International Pipeline Conference IPC2018, Calgary, Alberta, Canada, 2018.\u003c/li\u003e\n\u003cli\u003eY.-Y. Wang, D. Jia, “Managing standards with evolving industry practice – lessons learned from girth weld failures in newly constructed pipelines”, Proceedings of the Technology for Future and Ageing Pipelines Conference TFAP2022, Gent, 2022.\u003c/li\u003e\n\u003cli\u003eSafety Advisory SA 2020-01, “Girth Weld Area Strain-Induced Failures: Pipeline Design, Construction, and Operation Considerations”, Canada Energy Regulator CER, February 2020.\u003c/li\u003e\n\u003cli\u003eFairchild D.P., “Metallurgical Design of Ultra-High Strength Steels for Gas Pipelines”, Proceedings of the 13th International Offshore and Polar Engineering Conference, Honolulu, Hawaii, USA, May 25–30, 2003.\u003c/li\u003e\n\u003cli\u003eDinovitzer A., Begg D., Quintana M., Lazor R., “Heat Affected Zone Softening Susceptibility Test”, IPC2020-9710, Proceedings of the 13th International Pipeline Conference ASME IPC2020, Calgary, Alberta, Canada, 2020.\u003c/li\u003e\n\u003cli\u003eCuddy L. J., The effect of microalloying concentration on the recrystallization of austenite during hot deformation, Proceedings of the International Conference on Thermomechanical Processing of Microalloyed Austenite, eds A.J. DeArdo et al., AIME, USA, pp.129–139, 1982.\u003c/li\u003e\n\u003cli\u003eCao Y., Xiao F., Qiao G., Zhang X., Liao B., Quantitative research on effects of Nb on hot deformation behaviors of high-Nb microalloyed steels, Materials Science and Engineering A, vol. 530., pp.277–284, 2011.\u003c/li\u003e\n\u003cli\u003eXiao F., Cao Y., Qiao G., Zhang X., Liao B., Effect of Nb solute and NbC precipitates on dynamic or static recrystallization in Nb steels, Journal of Iron and Steel Research, International, Vol. 19, No. 11, pp. 52–56, 2012.\u003c/li\u003e\n\u003cli\u003eISO 3183:2019, Petroleum and natural gas industries - Steel pipe for pipeline transportation systems, 4th edition, 2019.\u003c/li\u003e\n\u003cli\u003eChen X., Qiao G., Han X., Wang X., Xiao F., Liao B., “Effects of Mo, Cr and Nb on microstructure and mechanical properties of heat affected zone for Nb bearing X80 pipeline steels”, Materials and Design, Vol. 53, pp. 888–901, 2014.\u003c/li\u003e\n\u003cli\u003eKirkwood P., “Niobium and heat affected zone mythology”, Proceedings of Welding of High Strength Pipeline Steels, Proceedings of the International Seminar of CBMM, Araxá, Brazil, 28–30, November 2011.\u003c/li\u003e\n\u003cli\u003eGuagnelli M., Schino A. D., Cesile M. C., Pontremoli M., “Effect of Nb microalloying on the heat affected zone microstructure of X80 large diameter pipeline after in field girth welding”, Proceedings of Welding of High Strength Pipeline Steels, Proceedings of the International Seminar of CBMM, Araxá, Brazil, 28–30 November 2011.\u003c/li\u003e\n\u003cli\u003eShang C., Wang X., Li X., Han X., Wang X., “Weldability of high niobium bearing X80 pipeline steel for the second west to east pipeline project, Proceedings of the 6th International Pipeline Technology Conference, Ostend, Belgium, 6–9 October 2013.\u003c/li\u003e\n\u003cli\u003eChen X., Liao B., Qiao G., Gu Y., Wang X., Xiao F., “Effect of Nb on mechanical properties of HAZ for high-Nb X80 pipeline steels”, Journal of Iron and Steel Research, International, Vol. 20, No. 12, pp. 53–60, 2013.\u003c/li\u003e\n\u003cli\u003eGüngör Ö. E., Liebeherr M., H. Luccioni, “Girth weldability evaluation of SAWH pipes produced from 23.7 mm thick, high-Nb containing X70 linepipe steel”, IPC2014-33492, Proceedings of the 10th International Pipeline Conference ASME IPC2014, Alberta, Canada, 2014.\u003c/li\u003e\n\u003cli\u003eAPI 5L Specification for Line Pipe, 46th edition, November 2018.\u003c/li\u003e\n\u003cli\u003eKasatkin O.G. et al., “Calculation Models for Determining the Critical Points of Steel”, Metal Science and Heat Treatment, 26:1–2, January-February 1984, pp. 27–31.\u003c/li\u003e\n\u003cli\u003eIOGP S-616 – Line Pipe, Supplementary Specification to API Specification 5L and ISO 3183 Line Pipe.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"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":"High strength linepipe, girth welding, niobium, heat-affected zone","lastPublishedDoi":"10.21203/rs.3.rs-7463086/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7463086/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn this his study, the effect of high niobium alloying (Nb\u0026thinsp;\u0026gt;\u0026thinsp;0.07 wt.%) on heat-affected zone (HAZ) softening and toughness of girth welds in linepipe steel were investigated. Laboratory heats were cast with varying concentrations of C and Nb and then thermo-mechanically controlled processing (TMCP) rolled to the desired thickness. Physical simulation of both unaltered and reheated HAZ microstructures was performed for different cooling rates and the HAZ softening was compared between the different chemistries. Further experiments involving girth welding simulation using multi-pass gas metal arc welding (GMAW) were performed on flat plates with selected \u0026ndash; low C, high Nb \u0026ndash; composition. Through macro hardness mapping of weld cross-sections, as well as Charpy impact V-notch and Crack Tip Opening Displacement (CTOD) testing, it was observed that the HAZ exhibited a limited level of softening and maintained excellent toughness.\u003c/p\u003e","manuscriptTitle":"The effect of high Nb linepipe steel chemistry on girth weld heat-affected zone (HAZ) softening and toughness","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-29 19:11:07","doi":"10.21203/rs.3.rs-7463086/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":"55618afe-c0d6-4a64-9153-0e7e50f446f9","owner":[],"postedDate":"September 29th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-12-15T08:06:02+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-29 19:11:07","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7463086","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7463086","identity":"rs-7463086","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}