Differential Fertility Awareness: Unveiling the Impact of Contraceptive Practices, Educational Attainment, and Socioeconomic Gradients Among Women.

Differential Fertility Awareness: Unveiling the Impact of Contraceptive Practices, Educational Attainment, and Socioeconomic Gradients Among Women. | 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 Differential Fertility Awareness: Unveiling the Impact of Contraceptive Practices, Educational Attainment, and Socioeconomic Gradients Among Women. Łukasz Mikołaj Karoń, Karolina Karoń, Anna Zygmunt, Patrycja Dębiec This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6893652/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract Purpose The purpose of this study was to determine the level of knowledge about fertility among women using and not using contraceptives, and to analyze the impact of education and socioeconomic status on reproductive health awareness. Materials and methods A cross-sectional survey was conducted online with a representative sample of 1987 women aged 18–76 who voluntarily completed an online questionnaire. Participants were divided into groups according to contraceptive use and education level. Results The results showed that women using contraception had a higher level of knowledge about fertility than those not using contraceptive methods. Higher levels of education and better socioeconomic status were associated with increased fertility knowledge and greater likelihood of contraceptive use. Differences in contraceptive method preference by education level were also observed - higher education was associated with the choice of more advanced methods, such as hormonal IUDs. Conclusions The results of the study suggest the need to expand access to reproductive health education and to redress inequalities in fertility awareness among different social groups, which may contribute to improving reproductive health and the quality of family planning. Fertility Awareness Contraception Health Knowledge Attitudes Practice Socioeconomic Factors Reproductive Health Infertility Female Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Short condensation Women with higher education and socioeconomic status demonstrate greater reproductive health knowledge and prefer advanced contraceptive methods, while disparities in access to reliable information highlight the need for targeted educational programs. Introduction The issue of fertility and contraception plays a fundamental role in reproductive health and family planning. The contemporary population has access to a variety of contraceptive methods; however, awareness of fertility biology and its impact on contraceptive strategy selection often remains insufficient. According to data from the European Parliamentary Forum for Sexual and Reproductive Rights, Poland is the only country in Europe that has recorded a decline in contraceptive availability in recent years—from 47.8% in 2016 to 35.1% in 2024 [1]. Currently, the utilization rate of modern contraceptive methods is only 42%, which may be attributed to limited access to reliable information and the lack of reimbursement policies. Studies indicate that fertility knowledge varies across different population groups and significantly influences decisions related to family planning [2, 3]. The mean age of first-time mothers in Poland is 28.2 years, reflecting a trend of postponing motherhood (EUROSTAT, 2022) [46]. Simultaneously, the total fertility rate, standing at 1.32 children per woman (2024 data), remains significantly below the replacement level of 2.1 children per woman. According to the World Health Organization (WHO), approximately 60–80 million couples worldwide experience either permanent or temporary infertility, with estimates suggesting that in high-income countries, infertility affects 10–15% of couples in the reproductive age group [4]. Despite widespread access to information, significant gaps in fertility awareness persist, potentially limiting the effectiveness of contraceptive methods. A review of the literature indicates that insufficient knowledge of the fertility cycle frequently leads to improper contraceptive use [2]. Research findings suggest that increasing reproductive health awareness can substantially impact decision-making regarding contraceptive method selection [3, 5]. The present study has been designed to evaluate fertility knowledge among women and to ascertain the influence of education and socioeconomic status on reproductive health awareness and contraceptive use. The secondary objectives of the study include the examination of the relationship between contraceptive methods and fertility knowledge, as well as the impact of education and socioeconomic status on contraceptive use. The study hypothesizes that (1) women using contraception will have higher fertility knowledge compared to those not using contraception, (2) fertility knowledge will vary by contraceptive method, with more advanced methods (e.g., hormonal IUDs) being associated with greater knowledge, and (3) higher education and socioeconomic status will correlate with increased fertility knowledge and contraceptive use. Materials and methods The survey sample comprised 2,371 women who were representative of the population of women in the study's age and ethnicity range, ensuring the representativeness of the sample. This was accomplished by implementing a recruitment strategy that matched the demographic characteristics of the target population. The study's participants were women between the ages of 18 and 76, encompassing both reproductive and non-productive age groups. Inclusion criteria encompassed a minimum age of 18 years and a maximum age of 76 years, in addition to the provision of informed consent for study participation, which was obtained via the completion of an online questionnaire. The exclusion criteria encompassed participants who did not complete the survey, those who were pregnant at the time of the study, those with a diagnosis of infertility, and those who had undergone surgical procedures affecting reproductive organs (e.g., hysterectomy or ovariectomy). Furthermore, participants with severe cognitive impairments, professionals in the fields of gynecology and obstetrics, those who had participated in similar surveys within the past six months, postpartum women, and individuals providing unreliable responses (e.g., inconsistent or random answers) were excluded to ensure the integrity and homogeneity of the data. We conducted a cross-sectional online survey to assess fertility knowledge and its association with contraceptive use. Data analysis was performed using statistical tools to obtain both statistical descriptions and inferential results. Mean, median, standard deviation, variance, and frequency distribution were used to describe demographic data and other characteristics of the subjects. Chi-square tests evaluated differences in fertility knowledge between contraceptive groups, specifically analyzing the patterns among non-contraceptive users in comparison to women employing various contraceptive methods. Results were considered statistically significant when the p-value was less than 0.05. The survey was conducted in accordance with the ethical principles of scientific research. The study was anonymous, minimizing the risk of revealing participants' identities and ensuring privacy. Despite its low-risk, non-invasive nature, ethics committee approval was secured. Results Characteristics of Study Participants The study included 1987 women, of whom 69.25% used contraception and 30.75% did not. The mean age of the participants was 27.61 ± 7.94 years. The majority of the participants were under the age of 25, residing in urban areas with a population of less than 100,000, and possessed a university education and white-collar jobs. A detailed summary of the study participants' characteristics is provided in Table No. 1. Table No. 1 Perceived importance of folic acid supplementation before pregnancy Most respondents (94.7%) considered folic acid supplementation before pregnancy important. Notably, awareness varied by contraceptive method; it was highest among copper IUD users (81.3% rating it 'very important' or 'important') and progestogen oral contraceptive users (72.9%), and lowest among users of birth control patches (13.3%). Maintaining proper body weight before pregnancy Maintaining a healthy body weight before conception was considered important by 91.5% of respondents. Notably, the importance of this aspect varied by contraceptive method: women who used the contraceptive ring (43.3% rated it as "very important") or progestogen-only oral contraceptives (49.2%) were more likely to emphasize its importance compared with users of progestogen implants and copper IUDs (12.5% each). Infertility Diagnosis Over half of participants (51.8%) believed infertility diagnosis should begin after one year of unprotected intercourse for partners under 35. Among users of progestogen oral contraception, 39% favored diagnosis after six months, while 38.2% of binary oral contraception users preferred immediate diagnosis (Figure No. 2). For couples over 40, responses were evenly split between immediate diagnosis and a four-month waiting period. Perception of Male Infertility Factors Perceptions of male infertility factors varied by education level. Ejaculation disorders (37.4%) and hypogonadotropic hypogonadism (24.3%) were the most cited, with awareness of hypogonadism increasing with education. Testicular inflammation, mechanical trauma, and seminal torsion were also mentioned (14.1%) (Figure No. 2). Preferences for Contraceptive Methods The most prevalent method was oral two-component contraception (30.3%), followed by condoms (27%). The highest prevalence of non-use was observed among women with higher socioeconomic status (36.2%), who also expressed a preference for advanced methods, such as hormonal intrauterine devices (Figure No. 3). Probability of Pregnancy During Ovulation Most respondents (97.7%) correctly assessed the likelihood of conception during ovulation as high, while only 2.3% rated it as low or impossible. Awareness was particularly high among individuals with a high school education (97,7%). Knowledge of Sperm Survival Awareness of sperm survival in fertile mucus was high (90.9%), especially among respondents with higher education and socioeconomic status. Figures 4 and 5 show the distribution of responses, highlighting lower awareness among individuals from disadvantaged socioeconomic backgrounds. Awareness of Women's Fertility Decline with Age The recommendations for initiating an infertility diagnosis exhibited significant variation according to the age of the couple (less than 35 vs. more than 35 years) and the respondent's educational attainment (Fig. 6). Among respondents with a Bachelor's/Higher education, the most prevalent recommendation for couples under 35 was to wait 1 year (59.3%), while for couples over 35, it shifted considerably earlier to 6 months (51.9%). Conversely, respondents with a background in primary or vocational education recommended immediate diagnosis more often for couples older than 35 years (14.3%) compared to those younger than 35 years (8.2%). This pattern of advising earlier diagnosis for older couples was evident across all education groups, though the distinction was most pronounced among those with higher educational attainment. The Importance of Quitting Smoking Before Pregnancy Smoking cessation before pregnancy was considered important by 98.1% of respondents overall. In particular, 85.6% of women with higher education rated it as “very important”. Folic Acid Supplementation Before Pregnancy The vast majority of female respondents (94.7%) regarded folic acid supplementation as an integral component of pregnancy preparation. Women with higher education levels were significantly more likely to consider supplementation as "very important.". Sources of Infertility Knowledge Websites (79.4%) were the main source of infertility information, followed by doctor's visits (8%), while social media, books, and scientific articles were less popular (Figures No. 7 and 8). Discussion a) Findings and Interpretation This study demonstrates that educational attainment and socioeconomic status are pivotal factors influencing both fertility knowledge and contraceptive practices among women. The primary objective was to determine whether education level and socioeconomic status influence reproductive health awareness and contraceptive choices. The findings indicated a robust positive correlation between contraceptive utilization and elevated fertility knowledge scores, consistent with observations in diverse populations [2,8,9,10,26]. Specifically, participants with more advanced educational attainment exhibited significantly heightened awareness of factors influencing fertility, including age, health habits, and lifestyle risks [2,9,12,27]. A notable finding was the association between higher education and a preference for advanced contraceptive methods. Specifically, women with tertiary-level qualifications exhibited a higher propensity for hormonal intrauterine devices (IUDs), with a usage rate of 76.6%, while those with secondary education demonstrated a preference for the contraceptive patch (56.7%).This finding aligns with previous research highlighting that individuals with greater formal schooling often adopt technologically sophisticated contraception [7,29,42]. Socioeconomic status also had a significant impact, as individuals with higher incomes generally had better access to healthcare resources, received comprehensive counseling, andreported better fertility knowledge [10,20]. Conversely, the study identified that individuals with comparatively limited education and lower socioeconomic status tend to have less fertility knowledge and use less sophisticated contraceptive methods [1,34,35,43]. Despite the online recruitment strategy, underrepresentation of these groups was observed, underscoring the necessity for more inclusive health education targeting underserved populations. In summary, the study demonstrated that contraceptive use is closely associated with fertility knowledge and that both educational level and socioeconomic factors substantially affect reproductive decision-making. These results highlight the public health importance of ensuring that women of diverse backgrounds receive sufficient information on—and access to—a broad range of contraceptive methods and accurate fertility-related guidance [9,12,39]. b) Results in Context of What Is Known Education level and socioeconomic status significantly influence contraceptive use and fertility knowledge. Higher education is linked to preferences for advanced methods like hormonal IUDs, while lower-income women face barriers such as limited internet access and fewer healthcare facilities, restricting access to reliable information [1,2, 7,9,10,20,23,34,45]. Women with secondary education often prefer simpler methods like contraceptive patches, consistent with prior studies on accessibility and cultural norms [24,42,43]. The preference for simpler or less expensive methods (e.g., the contraceptive patch) among women with secondary education is consistent with prior studies documenting that those in lower education brackets often select methods they perceive as more accessible or less invasive [24,42,43]. Cultural norms further complicate matters in regions where discussing reproductive issues is restricted, perpetuating misconceptions about hormonal or long-acting methods [10,11,25]. Conversely, developed healthcare contexts, such as certain Western European countries, frequently incorporate systematic reproductive counseling into standard medical practice, thereby encouraging higher rates of informed contraceptive use [1,7]. Moreover, the limited knowledge among some demographic groups about age-related decline in fertility, lifestyle risks, and optimal timing for conception aligns with earlier research highlighting global deficits in fertility awareness [2,12,30]. For instance, studies from Africa and Asia have shown that women face significant educational and socioeconomic barriers that hinder their understanding of fundamental reproductive concepts [10,11,21,25]. In such circumstances, cultural stigmas and healthcare infrastructure gaps can further exacerbate misinformation [22,23,24]. c) Clinical Implications These findings have important clinical implications for healthcare providers and policymakers. The strong link between higher education and advanced contraceptive use highlights the need for expanded health education initiatives, particularly for women with lower formal education, using accessible and user-friendly formats to counteract misinformation [6,14,36]. Addressing socioeconomic disparities requires culturally sensitive outreach, mobile clinics, subsidized family planning, and ongoing training for healthcare professionals to bridge gaps in knowledge and accessibility [10,16,17,20,24]. Counseling protocols should provide clear explanations of contraceptive options, enabling informed decisions tailored to individual circumstances [3,5,19]. Integrating reproductive health education into routine care, such as checkups and community workshops, can reduce persistent gaps in fertility awareness and enhance family planning outcomes [15,20,31,32,33]. Periodic evaluations of these services will refine best practices and improve outreach to underserved populations. A comprehensive approach to reproductive health education and service delivery is essential to promote informed choices, reduce unplanned pregnancies, and improve community well-being [2,9,16,38,40]. d) Research Implications This study's cross-sectional design highlights the need for longitudinal research to examine how fertility knowledge and contraceptive preferences evolve over time [2,9]. Future studies should assess the impact of socioeconomic changes, policy shifts, and health education interventions on reproductive decision-making, offering insights into causal pathways [14,20]. Cultural and regional differences in reproductive knowledge, influenced by beliefs, practices, and healthcare resources, also warrant further exploration [10,11,24]. Mixed methods approach, including qualitative interviews, could clarify the interplay between psychological and social factors in shaping behaviors [17,19]. Psychological barriers, such as stigma and misconceptions about hormonal methods, remain critical for understanding decision-making and should be integrated into future research [28,34]. Evaluating the efficacy of preconceptions and family planning counseling programs could help identify best practices for improving fertility knowledge across demographics. Finally, assessments of models like Reproductive Life Plan Counseling (RLPC) and integrated contraceptive care, combined with longitudinal tracking, would strengthen the evidence base and inform strategies tailored to women's diverse needs across regions and life stages [20,24,41]. e) Strengths and Limitations This study's strengths include the quantitative analysis of a large sample of young urban women, with validated survey measures enhancing the reliability of data on contraceptive use and fertility knowledge. Although women with lower education and socioeconomic status were underrepresented, their inclusion allowed for exploratory comparisons of diverse backgrounds [9,18,44]. However, the cross-sectional design limits causal inferences, and reliance on online surveys may have excluded women with limited digital access [1,9,10]. The predominance of highly educated urban participants may reduce generalizability to rural or disadvantaged populations, who face unique barriers to family planning [1,10,34]. Self-reporting and limited exploration of cultural and psychological factors are study constraints [13,24,28]. Additionally, regional variations in healthcare and cultural norms may affect the applicability of findings to different contexts [4,11,43]. Notwithstanding the aforementioned limitations, our findings underscore the significant influence of education and socioeconomic status on women's fertility knowledge and contraceptive practices. f) Conclusions In conclusion, this cross-sectional study demonstrates significant associations between contraceptive use, fertility knowledge, education, and socioeconomic status. Higher education correlates with advanced contraceptive preferences, while lower educational attainment typically indicates reliance on simpler, cost-effective options. Furthermore, socioeconomic status critically impacts access to care and information, driving significant disparities in reproductive health awareness. These findings, consistent with existing literature, emphasize the necessity for evidence-based interventions targeting underprivileged communities to enhance fertility knowledge and contraceptive decision-making. Through inclusive and targeted approaches informed by robust empirical evidence, healthcare systems can enhance reproductive well-being for women across diverse socioeconomic backgrounds. Declarations Acknowledgements We thank Dr. Tomasz Wikarek for his invaluable guidance and support throughout the research process. We also express our gratitude to all the participants of the study for their time and valuable contributions. Declaration of Interest Statement The authors declare no conflicts of interest regarding the publication of this article. The research was conducted independently, without any external influence or bias from commercial entities, funding bodies, or other organizations. All authors have approved the manuscript and agree with its submission to The European Journal of Contraception & Reproductive Health Care . Funding Details The authors did not receive any funding for their work on this study. Data Availability Statement The authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials. Ethics Statement This study was conducted in compliance with the ethical standards outlined in the Declaration of Helsinki and applicable national and international guidelines for research involving human participants. Ethical approval was granted by the Ethics Committee at Komisja ds. Etyki Badań Naukowych Akademii Śląskiej, approval number Nr/2/KEBN/2025. Participation was voluntary, and informed consent was implied by the completion and submission of the survey, a procedure explicitly approved by the ethics committee. Participant confidentiality and autonomy were strictly preserved, and all procedures adhered rigorously to ethical guidelines for research with human participants. References European Parliamentary Forum for Sexual and Reproductive Rights. Contraception Atlas 2024: Access to Contraceptives in Europe. 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Revista Brasileira De Enfermagem, 71(suppl 4), 1706–1713. https://doi.org/10.1590/0034-7167-2017-0623 Podolskyi, V., Gemzell-Danielsson, K., & Marions, L. (2018). Contraceptive experience and perception, a survey among Ukrainian women. BMC women's health, 18(1), 159. https://doi.org/10.1186/s12905-018-0651-8 Blidaru, I. E., Furau, G., & Socolov, D. (2015). Female Romanian university students’ attitudes and perceptions about contraception and motherhood. The European Journal of Contraception & Reproductive Health Care, 21(1), 39–48. https://doi.org/10.3109/13625187.2015.1066495 Szűcs, M., Bitó, T., Csíkos, C., Párducz Szöllősi, A., Furau, C., Blidaru, I., Kapamadzija, A., Sedlecky, K., Bártfai, G., & Scientific Group of the collaborating centres (2017). Knowledge and attitudes of female university students on menstrual cycle and contraception. Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology, 37(2), 210–214. https://doi.org/10.1080/01443615.2016.1229279 https://ec.europa.eu/eurostat/databrowser/view/demo_find__custom_12795007/default/table?lang=en Appendices Appendices A, B, and C not available with this version. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviewers invited by journal 15 Jul, 2025 Editor invited by journal 17 Jun, 2025 Editor assigned by journal 16 Jun, 2025 Submission checks completed at journal 16 Jun, 2025 First submitted to journal 14 Jun, 2025 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6893652","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":485948050,"identity":"75ed29c4-e763-4af6-8699-62b023a0d897","order_by":0,"name":"Łukasz Mikołaj 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1","display":"","copyAsset":false,"role":"figure","size":147537,"visible":true,"origin":"","legend":"\u003cp\u003eCumulative chart showing preferred time to start infertility diagnosis according to contraceptive method used\u003c/p\u003e","description":"","filename":"image2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/6e4c551ed9da4518a4f5cd97.jpg"},{"id":87319525,"identity":"4b025be8-e8fb-42e3-b0f0-2bb88acf3773","added_by":"auto","created_at":"2025-07-22 16:22:20","extension":"jpeg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":146178,"visible":true,"origin":"","legend":"\u003cp\u003eGrouped column chart showing knowledge of male infertility factors according to education level.\u003c/p\u003e","description":"","filename":"image3.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/ad2f7b213b172970caab0c0c.jpeg"},{"id":87317997,"identity":"1bb2141f-0689-4183-8249-fdbb79fdfba8","added_by":"auto","created_at":"2025-07-22 16:14:20","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":134928,"visible":true,"origin":"","legend":"\u003cp\u003eCumulative chart showing socioeconomic status on a scale of 1 to 5 according to contraceptive method used.\u003c/p\u003e","description":"","filename":"image4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/e1d6e85a91761317cc91b6f0.jpg"},{"id":87320580,"identity":"2b893086-e107-4a4f-9aa6-df0dd48c13db","added_by":"auto","created_at":"2025-07-22 16:30:21","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":121959,"visible":true,"origin":"","legend":"\u003cp\u003eCumulative graph showing survival time of sperm in fertile mucus according to education level.\u003c/p\u003e","description":"","filename":"image5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/4f1da3f584edfd1cb2c85e47.jpg"},{"id":87318004,"identity":"a997cebd-4c28-466c-b3d1-d4ede966ce5d","added_by":"auto","created_at":"2025-07-22 16:14:20","extension":"jpeg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":122262,"visible":true,"origin":"","legend":"\u003cp\u003eCumulative graph showing the survival time of sperm in fertile mucus according to socioeconomic status.\u003c/p\u003e","description":"","filename":"image6.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/73601a9d9ac24fe3c3b4b66a.jpeg"},{"id":87318009,"identity":"ee0558cb-7a21-4782-8eed-7afac38c1f4c","added_by":"auto","created_at":"2025-07-22 16:14:21","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":183129,"visible":true,"origin":"","legend":"\u003cp\u003eClustered bar chart showing the distribution of recommendations for the time to start infertility diagnosis, according to respondent's education level and couple's age (\u0026lt; 35 years vs. \u0026gt; 35 years).\u003c/p\u003e","description":"","filename":"image7.png","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/508f0f2375471e0bccd7cd16.png"},{"id":87318000,"identity":"00ebc3d0-5e68-4a55-a2f0-43ac1c79a41b","added_by":"auto","created_at":"2025-07-22 16:14:20","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":89638,"visible":true,"origin":"","legend":"\u003cp\u003eCumulative chart (100%) showing sources of knowledge about the causes of infertility and available treatments by level of education.\u003c/p\u003e","description":"","filename":"image8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/4f309fa6ae6de0dcd52e0eca.jpg"},{"id":87318001,"identity":"7d0e9b83-94c7-410d-9125-0f2af31f7015","added_by":"auto","created_at":"2025-07-22 16:14:20","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":92498,"visible":true,"origin":"","legend":"\u003cp\u003eCumulative chart showing sources of knowledge about the causes of infertility and available treatments by socioeconomic status.\u003c/p\u003e","description":"","filename":"image9.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/e426d9bebb7be908ed910cb5.jpg"},{"id":87322328,"identity":"747439f8-36c0-4b2d-aaed-af86fa7ea05b","added_by":"auto","created_at":"2025-07-22 16:46:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1953207,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6893652/v1/51cdaac0-425d-4c14-bc97-de8257bc351a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eDifferential Fertility Awareness: Unveiling the Impact of Contraceptive Practices, Educational Attainment, and Socioeconomic Gradients Among Women.\u003c/p\u003e","fulltext":[{"header":"Short condensation","content":"\u003cp\u003eWomen with higher education and socioeconomic status demonstrate greater reproductive health knowledge and prefer advanced contraceptive methods, while disparities in access to reliable information highlight the need for targeted educational programs.\u003c/p\u003e"},{"header":"Introduction","content":"\u003cp\u003eThe issue of fertility and contraception plays a fundamental role in reproductive health and family planning. The contemporary population has access to a variety of contraceptive methods; however, awareness of fertility biology and its impact on contraceptive strategy selection often remains insufficient. According to data from the European Parliamentary Forum for Sexual and Reproductive Rights, Poland is the only country in Europe that has recorded a decline in contraceptive availability in recent years\u0026mdash;from 47.8% in 2016 to 35.1% in 2024 [1]. Currently, the utilization rate of modern contraceptive methods is only 42%, which may be attributed to limited access to reliable information and the lack of reimbursement policies. Studies indicate that fertility knowledge varies across different population groups and significantly influences decisions related to family planning [2, 3].\u003c/p\u003e\u003cp\u003eThe mean age of first-time mothers in Poland is 28.2 years, reflecting a trend of postponing motherhood (EUROSTAT, 2022) [46]. Simultaneously, the total fertility rate, standing at 1.32 children per woman (2024 data), remains significantly below the replacement level of 2.1 children per woman. According to the World Health Organization (WHO), approximately 60\u0026ndash;80\u0026nbsp;million couples worldwide experience either permanent or temporary infertility, with estimates suggesting that in high-income countries, infertility affects 10\u0026ndash;15% of couples in the reproductive age group [4].\u003c/p\u003e\u003cp\u003eDespite widespread access to information, significant gaps in fertility awareness persist, potentially limiting the effectiveness of contraceptive methods. A review of the literature indicates that insufficient knowledge of the fertility cycle frequently leads to improper contraceptive use [2]. Research findings suggest that increasing reproductive health awareness can substantially impact decision-making regarding contraceptive method selection [3, 5]. The present study has been designed to evaluate fertility knowledge among women and to ascertain the influence of education and socioeconomic status on reproductive health awareness and contraceptive use. The secondary objectives of the study include the examination of the relationship between contraceptive methods and fertility knowledge, as well as the impact of education and socioeconomic status on contraceptive use.\u003c/p\u003e\u003cp\u003eThe study hypothesizes that (1) women using contraception will have higher fertility knowledge compared to those not using contraception, (2) fertility knowledge will vary by contraceptive method, with more advanced methods (e.g., hormonal IUDs) being associated with greater knowledge, and (3) higher education and socioeconomic status will correlate with increased fertility knowledge and contraceptive use.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cp\u003eThe survey sample comprised 2,371 women who were representative of the population of women in the study's age and ethnicity range, ensuring the representativeness of the sample. This was accomplished by implementing a recruitment strategy that matched the demographic characteristics of the target population. The study's participants were women between the ages of 18 and 76, encompassing both reproductive and non-productive age groups. Inclusion criteria encompassed a minimum age of 18 years and a maximum age of 76 years, in addition to the provision of informed consent for study participation, which was obtained via the completion of an online questionnaire.\u003c/p\u003e\u003cp\u003eThe exclusion criteria encompassed participants who did not complete the survey, those who were pregnant at the time of the study, those with a diagnosis of infertility, and those who had undergone surgical procedures affecting reproductive organs (e.g., hysterectomy or ovariectomy). Furthermore, participants with severe cognitive impairments, professionals in the fields of gynecology and obstetrics, those who had participated in similar surveys within the past six months, postpartum women, and individuals providing unreliable responses (e.g., inconsistent or random answers) were excluded to ensure the integrity and homogeneity of the data. We conducted a cross-sectional online survey to assess fertility knowledge and its association with contraceptive use.\u003c/p\u003e\u003cp\u003eData analysis was performed using statistical tools to obtain both statistical descriptions and inferential results. Mean, median, standard deviation, variance, and frequency distribution were used to describe demographic data and other characteristics of the subjects. Chi-square tests evaluated differences in fertility knowledge between contraceptive groups, specifically analyzing the patterns among non-contraceptive users in comparison to women employing various contraceptive methods. Results were considered statistically significant when the p-value was less than 0.05.\u003c/p\u003e\u003cp\u003e The survey was conducted in accordance with the ethical principles of scientific research. The study was anonymous, minimizing the risk of revealing participants' identities and ensuring privacy. Despite its low-risk, non-invasive nature, ethics committee approval was secured.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n \u003ch2\u003eCharacteristics of Study Participants\u003c/h2\u003e\n \u003cp\u003eThe study included 1987 women, of whom 69.25% used contraception and 30.75% did not. The mean age of the participants was 27.61\u0026thinsp;\u0026plusmn;\u0026thinsp;7.94 years. The majority of the participants were under the age of 25, residing in urban areas with a population of less than 100,000, and possessed a university education and white-collar jobs. A detailed summary of the study participants\u0026apos; characteristics is provided in Table No. 1.\u003c/p\u003e\n \u003cp\u003eTable No. 1\u003c/p\u003e\n \u003cp\u003e\u003cimg 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cd1GB/OcAR9yRMdqeMg4jcU48IZ+mmN/ew+A+Nzzz2Uw8MD996e999kn31tfeq3wqfvoJnNrDMAAmjQEBtCm1BawL+hC9gATtgIwMafmp9gxskBnGCMgyNjjW/Nf5JMO8xz8LtJBPjRyoG/0HP1Fp4+J1mrAAAOAyCYe0SiHQjjEwqi8FMwJhTOgJpCAMsaUOOPL8CMYwkLhrmcohTkhdyF0Bo7SY5Qwn/CW0AwiM/oUK0+GIqLMKWYolIBCeK4x8YRXeJK3gwkgYULy7rvvpF133S0rZgqFIWBgGXn9IZyUngk2AYwNQV9yqSXT0f3/Y3QwOWHWR8xJQEpkgHfGKBBKCohXgwFFDNCxhGpdgyF5BQSLUqeEKA/GbZlllk4XXXRxFrLKhtHNhUa5CYU1VOwFXBUwALxQZObFs8ypcZYQmnG45qqrrkwvvPBipiGgQEn4TmX0Yosvnj1GNNYHYwQkXMPLo2CAPcre/FBM6I0vCJ45NAY8gCaUp/BdCf0yDJQ0Jed74IfBoQg9j8HYfbfdMu3vf+CBzD/oa154QRQRfgIkjJOnDwwSdPPs3QwgXmTAeFF4Rl5SH80BJWuuKFGeBZrxXPGcsVG8QtTGVuoR8AReosgodl453i285BmADlkgE/pRt+jNXJkL/TR2vI0/ABPPZbAocb/RjJH2DqCqvgI63mmpF0FDjffMQBgX8FqUuLEDG4weOTTv5hKfA2TmjWFlwMk3+fSZvpKl4jkxDmSZAcQbeMgzGDAKnkHG14wKfjAOChZ9gISGwACAY7yeCawCQQy6vvGcGdBjjz0m0w4ffPnlV3nuyRxZwT/ALb0gAoLfjQH/0SvoRa4ARLwAwAEPjCt9QU+IGABPaECGyZKxuhcYMnf0AjrjG7RA7wvOPz/1+f9gwjPJE/oKOZMVPAFUMdh4hDwJufNqjY9XTubImHkTIRGl9SzRK/1zX3Fq9EF0gF7BOyJ9/sZPpRBWRMQ9IobAh7lF38qGb+hExpCeYvgK8KQ/0NJ8kDGAj1zRB8aNF6aZdpr00osvZXkyN/hrVHU2QBZ5Np+uawoYGDLk1OxEmdvBpw5OW26xZdYLdDFamE/ybn59Tp+XRq71rb7cv36jMZkw/nKNcZY5xDscqYbSR80BC60GDBBsxhZaJjjAgEnG4DxBClionXfBcPJ8oGSKDwBAJAoeoSkG6I9ip/CPOOLwNHDgcRmtAQYUOE+O0CEy5nriiScyo2FKCoeC9mzojRJhkAg4gRQedg3AgakpON4rpW0yKXHvYsx8T6Axun56Bg/euDCKkNIGG2yQGZviLuMTGqW00YTSd08BA4QJEibUFFAluDA+nxEoyoTyoaCMUXSCp0y4gAHC7p11vX7fuV5bdtll87saysNVggHKUt8oceOXjvFewI0BBLoAmpMGDUqPP/FEVhAUaCl4HHeccdKiiy2W55ghIhjGw0tFV4DM3JpD/TQnDK3IDqTuc0qaAYfAXWsO3Wd+KE9Gwvx6r+uABgqBsiO8PD/jYMgZSaCKsHsWelIEPFq0ZoAYPwbUM/02bl6kH4qQ8hFJoqyFZiki3huaMBKUGMWsAQPF4OAXdPHbsyhZYyQL+mN+GA6KViGn6IfaErxMqZT0RaVy8B6GnkEQoeCBkBk0BHTRm9HhYaIZPsHvlTUjdZWNkDfD4V68rKFtr14901lnnZ1BhHfigxJK5VFp5gjf8ybJEuOpH54pYqQP+IYRBCoYNTzkeyAPcK+sGaAH0IQOwMt0AFnA555RH6CpTBOQa7JS0jxACvDEe2bgzDFjiPfoAnOFxwFHNMDb+MS8MaLeTXbpGzQE6IwLTzIapcASyDN3+Ml46AjXANnkgJHVF/LC6OAxOoX+4IS4Hj+RO3Rh1M0voArM4WF6xPwDVviHjuWEDDl1SOZThgZvA5/mATB2bZbXk07K0SOyxfkwR+SI82aO8Ivnkyf8yFnRN+Fw49YnsqlfdHplo5PwAKPve3oRuNcqwYB3A0BAg3GSJXy8evfV05xzzJkjA9//+/tMl1E1YB5f63tTwQDbZCxsBgfQvAOboh7GiVfxMjnebffdcuq6LBVER/NQ5rCyj+hGP/iObilgRhQEUEN/c0LO66Zdm2P8697TasAAL4pxFGainBgThkrIxIRhPIa5LAWD2IECgimsSGAoGkzJgCIk4+xvYODYYwfmCWIsMQIlysBAswBByfMTasKLaXkYkC7Gpxz0D8KW4zH5FAPUTIFRNN7NUJemvyXPTKih7RLW1DfRCUpWMSUQtM+++6R+R/XL/aJ4iscp8uBdBQzwBqFP/cJYwACEjpEqwQDjQflhXMifFwKU8JgoP4qKZ1wXQVM6nqW5VoqhLH8aGdNVggGKU/8oIkxdlpZSKmgCaD333LPpluG3ZK+b0FCQFDclPk6HDhkM8DjNAYBXmeckHAwo4SNAPCrPFH5Hq2WWXjrN3aVLvsb8U36EkZFilD2LwTBGBss9FDp6up4yFm6lLCgefCZyQPkDCcAAhQWEmLtCPwq0gAHGHf3xFX5Bb3yHjqXimNKgvPFEJRjgieoPZcpQUgRqOPCQqBhFaTz6VfZ0ABgBBorTZ8ANGTGGuo1CNzfm1m8eGMPCkFFmonC8EsqdwvUMgJA3WrfhW7RnrMgOXjFuc6cxvMaLTsAA3gIG1CSUHHtDYIB8mS+8rpEzxobxxNt1CwiBxgLueL3uZ5yNh/Gur9WtGTAG/GHOjKHwH7rjZ0DVPJBf/IevGXgGNoOBI49MA445Jv+NdpXpFXPE28dvlWAAKABU8R/dx7jTE+QC3zDMAKW+agABI88RqgQD6GOO6U1jxzPm1HjQiowBfvhnxGsj0jNPP5MBpmgKfqcT1BGgVQED+J1DBqww8IUXgQFyB0TgIbQhT4w2mpAZ49DIHpAKzNXde4Jsuh9/iNx4f6m5qgsGSu0MfhAtJn+cFTRjSM0LkD6qyIDrgQ9jaWqagI0StSb/5Bt/sEEcSeNjG0pKCDgGCs0pOSAv5oXhreSJn378MR1w4IHZ3pkrIKO0suKI3pluus7/pU3LF9i3CjBgcgkq4poYIZhDDz0kTyhDIMwn5MLglmI4v01IJRhgECmvhsCAd5RCGsxKST3+xONpnbXXyV784Ycflvbbb//MWCIWvEnKeNCgE9PXX3+TjQu0rUikgAHCSjAri50YLZ8BHASGgBAohrNeMLDPPtnYUDy8JvkrzGVMlWDAu01cQ2AAyqYUIFfCWyIjgNCoGlQN/FDuQroMLqVVt5k3XhRhaCwYwNiUBQPHGPEQKGqKoj4wQIERokpvjuJguAAznjLhMlcFDCy91FJpzrnmykCM8gRM6m5IUxcMMB76hQ8V+ugfI1W53Aff+IxQ8sABq1JshTb1gQH3MwYAJyOPXgwuZQcENAQG8A6ewIMAstoZnlZlpMY8UOKMP0AMHAIElL5x1F1zXcAAwAkMUPq777F7OuP0MzINKSPz3hgwgMYFcAHbGmOlz0LO+NZzKMTKyEBTwQAD4j34QJ8ZUxEbTkBdMEBZ4320o6BLMS/lP7J018gKCOvjeYpfxEgECD8YK0BbHxhg2HiQolaVyr2xYMD84Tc1JfQOsFBp5BjxUYEBRpojxREhSyWFRX5EKnibAIwIIlrRdwBQY8AAx8fzRwYGzEOhKyMPpOFVOpPzV7l8nK6UEmMD0Ep/AUyNznC9NAE9XBrgyUaYf/zuufQ5vQwojiqUjo8AfrLYUGTAOBhxzlN9G1vx1PWrpGHpeXZr5112Tr/+8muWew3gp0tzemHw4N/VTeAfugB/0tWVKwbQhr3gpALk5LO+VNcolXojvhxrYABBKar6VhOUjRV4wowgYaf0eM4MAcJQvFActAlBM7oUUUkTjCoycOSRR6Rjjjm2NjLAcC+77DLp448/yd4+gX74kYdz1Ttmhc5MqPcUZWoSCCRDDNFhZCi4pAmE7xgTYVnNeCk8CpnSpxihd+iVsTG5mB+KLZEBzOx97qWoMXnxML2rLC0skQFGDjpmCOqLDJQ0AaVIofAkvJO3jqYMOA+wbsiJwdIXXkH5myKt3NdAH4EGYxMJMKaytLBEBtBRiFbfjZ/CgZrLZjy8Wc+n5D27pAkIsXAY74uwU1YFDJgfgMo40IiSgb4pAUpEBATQQyNGmAfiM2keQvXRhx9moFDSBLwgwgf8MOaiFwTTPBs/ZYHPjNNzS5pAWgCgqFySWAkGSprA/KKx/jNQBE4/zB3BrwQDvFGKiadd0gSHHnZoriNBR8agFIHhe9fiEcDEc9EDUDDXQpnyk2SuruIoaYKyuQpwaG7wEHAGeJuXyjQBXq4vOsSgiOTtteeeqXefPrVKDG/hff3CO8LeBQwA9RQa8IAuQCCDSoYYNyCRN8vrAmQZnBJCBdZL2kRkRVqHF0aujKsYSl4ufsSjaMZbHtVyt7pLC8tqgro61NyQV3T2zn333ScttdTSmf+BAffREyVNgGaclspUnNA2A14iA/jm++++S3///1X/jD3alcgAzx6PoJPv/uMdTldbUc/o1U0TlMiACIz78egttwxPO+20c9YVZ551Zs5zexZZEr3Ap2SUMfaukibAE3ijMjJg/OTYHFVGBuiq/6zbvylHw0RxAVj9oxsZQCk4eXr9rruToPkrGwbht5JGKmAAf9PLpeFRdoEuADrICF3X0N4M9dnFkdUM0DeAEadOpILuMr+lAYR0hrSdecLLgDq9ZA715bXXRqRpppk295VeBbroNDKseQcdRl7222/ftNde/7eSzveACP2GfvRU0R2NsO9NumSsgQETp+iD8SUMPDEhbULEaFECwpEMM0FhECgASlWIRdiE4cNgr7z6Shp8yuBcVGMC5OYhM4zPAGFKjUAyfPJLCEn5mRCGgSfJGHkXpe8+k4HYnsM4UV68gILMITqKBRL2vb7ok34yGn6LYmhAi1Cc0K3JNF6NEDAG3musvDjCAjUTWoqOcsN0GImA8CLUIbhHnpmXDjlDnxQ2JIy5MB/l7zcUizH9LYxJiDyXEcOEDCfBNOb6lvmISpgrBpXQElI0LksiKVvzh5beUVY78NaE1N3Hy0B/3iH6mxfPQU/9Mw60MSa0RQffM17AXtnIiJIqYADvoAeFQ8HyThhvY2R0zTXDc+ONN6Q999wrKwnKh9GQ8vFedCd8AKS5YKwoTjsq8pRuvOmmLNDSMvjBvAIXngGgUqDoh9ZAQ2klFAs4UKD4HQ+I7KAFRYxfGVDzRykwWAx3iT4BmngMXV233/77pRNPODH3F6+ZQ7wmZw7QoTueQWd86bd58Vv/0b3ubnDuMR79LMWxlLeQK371gy/RkVwyaAxv8dQqNQz51VfgGJA1DrLBGwLyACmKlOyVdfzmUujY/KEfw8JrNX9HH90/R9/oBHwjHYD+ZBxNyY9IBuDkc3NgDkWIGGK8AxAADcZhfAsvsnC6+667R7krHd7A75Q45YymjEzd5v0lFQj401mMOoOlX8aIlu7FS/gEGKhcDkY3GC+nh+wZKzCCB0Vt6DvzSz+hr7EBNYwQwAGwMT6AUpE7MoqP8Qj9hVfJFPmmI0qxpTm85dZb0mSTTpaBtr7jdTUswDc6mx8yCnwUHWNu9Ef/gH3GGjj2vbF5jufpLxkuS2L9veIKK6befXrnSB4nCO8BEZXOBZp7hjku+28UOosEMvRoZTyVXnNZneS5vqPzmwoGvBt/mxMyoX/AC7CuL4C5eUcnuug/ewX8mNMqRx3VLwMncs3Ql/1xyvOAx1tvvSWtttrqmT/LiiUOStkcCe/gNzaIoa+7GRcdRneaQzSmU8bEJmRjBQwQtDNs7jJsWO0yP4RGDN9NNumkaY0118wGi0AVxU+gGUOKg8C7hwAyfIpLGDtIliCVUDGFjKA8VzlyDE0hQnCYiHdd6g0odqEmk2+yoV/eGyNlEhlwyowBpOwsiZpqyqmyoaK0nnzyqax0KWh922nnnVLfg/pmpYzBGEaTx7BWFpoIG5rwssMUI2jCKXnv4hkAB5QpwwW56zPBoiAZC0xgiUf6AAAgAElEQVSlSpdCZFR4Z4wyhiGomjAYgwSg8K4AIOOiJKaffro0YMAx2cupbyfDsp0mzwCAQmOeHMNAYIA1CovBQTfKo1Q/l2VOhBsoQAtGlTJg4MwBY2N+KDcCBpjwUBlaho9wU5poQrGiRUHRF114Ydpn332zApZG8UPxA0XGQ1hqan7LRaPCy2hJQVCi+ojHKFGhe0KP37xj7733Sq++OiLttNOO6Zln/l6bj6dk8Ap6l6ItNKOkS+jOuHgllByAw4swZ6IiPAcGacYZZsx1DhQb0OK6Ev7TP+DEd8ZiXs2BCBkel/vGL95X9tEnPwMHHpvWWGPNrEQZXYAS/7gGHQCz+sKlQpvGTyZ4YDw47/dusiQsS87wC95nZBjLukWEDBdlWc4IIJ/GztPiJeJZxoPyAjYoTMbRuMg1b911ZJ+8ULh4GUAis506dU6qt0vRGnnzToZzpplnSiNeHZHnF4jC33ih9AUfob15KfUG9blKQFpxSMi7Rr+QJzSpjJyhK4OIXoA13kBvc8PwAwDk33sBIrTD7wx1oR15cD9e8j40Y8QoY0COrkNDc4A+6AaYcUzwKhqZO545PaBuAX3RgPyX5bCuY5zoB33Es+aUjADVdCsdig85Ggw4nqF3OSMABdrxjPEQPWkuiycOINBPnCY60N+AL/1kbGQW/YD9wpdkFggqTlPlfJBJhpac4XlOC92pz6Id9KDvyxLpcm/ZIMs8oUdDxc6V7zRWgJKuYgPQyv1bbLF55hl6e9ttt8vzUhxMcg9kihzThwA9viPDxUjT554LIOs3WyL6gm/xPRtT5JJTaVz67566e3kYHz2JLkBES2yQVp8cjBUwgLmfe/bZfGhOyblQdBgSgxKekR0MwSBgCAVJmIzBIHQQG2HDXIjqeZSAySwT4hrKzjMIZdmcQxiyVKcTHIqLciJMFKHGsGAGXgsB9MySI/c8igJao4i81/tdQ6AKMtUXOTrKhiH1bELzPg995pmzF1MKCNGI8AAGhJ4nRSkWxobYXVPG6l3GVMZrrABJuaZEJzArD8z3lKvwpr4CCsbcUDNmoWieibGghcIvHkZlHpQxr5wL80rJVB78Qhnybih6DI4mvFYKsezR7n/j14wRrdG3sqBG//EE/jGXxo0XCLYxlRw5r8GzzDH+YlArw7WuF30wX55T+gqoQP2MDqNQKp/1kedjDgovlPcBSyIUhcfQ21j00fjGG3fcvP0o2nle4VHfl+IjXia+FOUwJtf4Xp/LRlv6aw597zkl50lRoP87b7+dvv9vJKpyA62686yfxkdRMxSUExqghe/IG9qXTVnwGd6uW38AnFKKlHvZxMtzgV38i0cqvRjfoZN+482iEPUBUKIQjYvR9Tx0BC7LxkvmGZgGQOfvOn96+aWXs2eKRpQoXiED9Axaye1T3OXch/r4HZ9YHeCecpAauhs7mtTNE+sXecRT5kUfyQfjiOaFT8xlKVxFj8qwOHriCwaQHJBz8ln0iGcaY5lfdCubrC20ULe08MKL5MgksFb6bP7xYwF2aA8M6z+9w4nBf8XZIp94zxzgc5+TTZ8bdymALvxuLJ5V5NwY6GT3lmgMmrsmP2+88dIj9juYbLI04rXXMp1EkUa1KgWYAXzKbo/mhm5BH7TRJynEurvwobkfwLa+1SIj03PGgtf1rRRTew8eAqTobHoCIALY6GjgzTjREp1GdigbermOPNMbruUAVaYZ9IsNAUboVN/X3YqfjAIDZXnymFhJoB9jBQw0ZHBa4/eMjYmndHlXxeATHt4fo81rbmjv+YbGVpYWEkDeIoZrCjM39Pz4PihQLRSgfKVfRMGkK3hnr776Sg7ljomwamulq3Azb5UhK/UyrbWvdfvFMIow8NKlgkQ//uhzagBDEUTpF5FjoH1s8ROwLVrIHokUcYbHxB4DAQZGISGQoJyc8A8j3blzp/TVV1/n8K3QuxCwPNvoTAzlhcmE5CBROSsTPraOrGwrCiL6GRRoDAXIk7SE/KtI0qKLLZp23mmntMwyo14905hnt5VreLV0k9C9SIXIgBD02DJeLUEnkTn5delI4/gjzuaoHIforXSnglx1DGPLWROdli4RMUMHUZUx+W4RJSCyQ/fu3WvkezBTtP8cXHLJJRen4cNvyd5/CSFONtmk6S9/2SBHC0YXsb7zzts5f/TYY49nugvrAQTyo6P77JjDoEA1UoDiBN55c0LNCrtGFsZtj/QRUhZdFDLnqAhNq/X4ow1qU2gNuAjfK8LTKot0m/Kclro2b+U80URp2v9uyQ50jo1WzrnhdEqlj0nbXJZAS4136NixY41805h84dggYEu9A3FKzk+4kXKZdNLJ0oQTTpBfIXc1ukwh5+a5xfD7nwBTXqP77JaiQzyn/VMAr1XWdrTlEVfm/AF4ueBqkiX6xJgLHUrdVPm/rcwt/csLphPLFtd/VN8r9fPY7ANbUOrgxjQNvEsdl7qwDp07d65RuFNNgjM2JzbeFRRorRSgcBTQKYxTnNXQORStdRzRr6BAUKB5FAC+FLorTs5pgnJ6XvMeF3cFBYICbZECwIDlWtZLq7xvzCqTtjjO6HNQIChQPwVEBsomeR169uxZo4AgWlAgKFB9FLAuXJGU6vO6m55UHzVixEGB6qNALC2svjmPEQcF/ocC9swABuw4GGAgGCQoUH0UCDBQfXMeIw4KBBgIHggKBAV+R4EAA8EQQYGgQN5NMyIDwQhBgeqlQICB6p37GHlQoJYCAQaCGYIC1U2BAAPVPf8x+qBApkCAgWCEoEB1UyDAQHXPf4w+KBBgIHggKBAUiIOKggeCAkGBiAwEDwQFqp0CERmodg6I8QcFIk0QPBAUqHoKBBioehYIAgQFIjIQPBAUqHYKBBiodg6I8QcFIjIQPBAUqHoKBBioehYIAgQFIjIQPBAUqHYKBBiodg6I8QcFIjIQPBAUqHoKBBioehYIAgQFIjIQPBAUqHYKBBiodg6I8QcFIjIQPBAUqHoKBBioehYIAgQFIjIQPBAUqHYKBBiodg6I8QcFIjIQPBAUqHoKBBioehYIAgQFUtprr73yqYXXXHNNWnDBBYMkQYGgQJVRIMBAlU14DDcoUB8F9t5773THHXcEGAj2CApUKQVuvfXWtNVWW6UOSy21VM2AAQPSb7/9VqWkiGEHBaqTAhNMMEEaMmRIevrpp9MRRxyRZp111lRTU1OdxIhRBwWqkALjjDNOeuKJJ9Jxxx2XOow//vg1k046aRWSIYYcFKhuCnTo0CF9//336eeff06TTTZZohiiBQWCAtVFAfJPD3To2rVrzS677JJ+/fXX6qJAjDYoUOUUEBm4+uqr06uvvpp22GGH1KlTpyqnSAw/KFBdFOAAvPTSS+myyy5LHXr16lWjgCBaUCAoUH0UiJqB6pvzGHFQoJICtTUDPXv2rPFPtKBAUKD6KBCrCapvzmPEQYFKCsRqguCHoEBQIO255555aeG1114bSwuDH4ICVUiBAAMtMOk//vhj+u6779Ivv/ycFGHLwSrGlIfx3SSTTJK/t1JDlfZEE02UJpxwwhZ4c9t7BDooUpl88skzHZrbvvrqq0zPKaaYIo077rjNfUzc918KBBhoW6zw73//O/30009J8Wdp/qZryAPZIGdldVjldyMbKd1U9JRrxhtvvDTxxBP/7h1ti0rR26ZQIMBAU6hV51qGXtHFnXfemR5++OH0008/pimm6JgN3QILLJAF0zU77bRTLsx47LHHcsX22muvnTbZZJPRePPYuZUi+eyzz3KFOaUwuo0Bt4Tt7rvvTptuumkuVht//PEbfKz7KL5S2PbJJ5+kvn37pm+++Sbtv//+aamllgqF1SAVR31BgIHRJOBYvJ1c3n777Wn48OHphx9+yG+maxZddNG07rrrZjn54osv0l//+tf06KOPZjnp0qVL2m677dKMM8440p7STVdddVW69957M4hYaKGF0o477pgBd7T2T4EAA82cY0b+2muvSUOGnJZeeOGFtNpqq6XNNtssTT/99InxuuGGGxLi9urVK5199tnpvvvuSzvvvHN6//330z777JNOPvnkZr557N329ttvp3PPPTdtu+22aZ555hntF7/88stpyy23TM8880xabrnlMn2mmmqqUT7X6hZr3+eee+6szLR77rknrbXWWllhnXTSSWmPPfaI5XCjOTsBBkaTgGPxdh78W2+9lewLM3To0AyUOR+DTx2cVlh+hRyZZNjJ70EHHZTXj9NBq6yySo5Yjqx5LtkE1N944420xhprpIsvvjjrtGjtnwIBBpo5x3fffVfabrvt0z//+c9s8C+55JI05ZRTZqNEqD788MN04IEHZo/1nHPOSR9//HFaZ5110osvvtgmwACwc8opp6QLLrgg3XjjjVnZjG4TtjzjjDOyR8Pj2HzzzXMoclTNta47/PDDMz21EhH4+quv0gEHHpg9ospw6ej2sxrvDzDQtmadjnnooYeybNBBs8wySzb4PXr0qJUF0QGGff3118/Rycak077++uv05z//Od1///1pzTXXDDDQtthitHobYKAZ5CMwAABhnHrqqdMtt96Sll1m2f95koIsW7z2798/gwEhPFEEoW2I/f0P3s/h91lmnuV3YXhIX3j+o48+yqif90zYXet/n//yyy8ZeHg/g/ruu+/m/2efffbsGcj9ffrpp+nTT/+Vfv31tzTddNOlGWaYIX9XmhCjfnmeGoaZZ545P08+kkeg35593nnnZTDgGa779ttv03vvvZd/e6YfiobyERVhmN037bTT5nEARnPMMUf2Vjz7yy+/zLvclajA559/nt55552cMhDu1EfPvOuuu9J+++2XRBQOPvjgHFmRsgAGRAU8T599pqHNv/71r/w+tODRdO7cuUHA0QwWaHe3BBhoe1NK/sjElVdemXl81113TUcffXQO6wMLt912WwbfQv8l1O9zMkrm6TGyRreQe3Lru/XWWy9HMkXf6AHRBKm5Itf0AJkly55HZkv0oDwfQPH9TDPNlPVGY4BI25uB9tXjAAPNmM/rrrsubbHFFrkeYKWVVkr+n2aaaf7nSQyhUN3CCy+cjR0hAwaE3+TugIWJJ5k49endJ4e6CSYhI9wEmSGT82P0CDrBJ2wE/PLLL88Cpvbgm2++TldddXW+nuHWl9NOOy2H+jxTTQOQAIToA4POcF966aXJclIg48knn0wrrrhiOuSQQ3Jf9cdv3y222GI55+h+SkdoXoSDMeft6xugo68DBw7MngoF4F1o89RTT+XnUQxXXHFFvmfxxRdPp556anrzzTezoQdKpAL8L4XQp0+fZBMstRiAz/zzz5/puNFGG2Xa6K/xH3DAAZkG5uL666/PERr90pd55503HXbYYXlcETkYNaMHGGiGImgFt4ic4X+GV46ffDloilGXRphzjjlSn113zT2VclO3JFJJp9AB//jHP3LNjWu7deuWAUJdMOA6NTqvv/56Bvh0zAMPPJDOP//8/J4//elP+TO6iX47/vjjsw5QIOw9AL0oQwCCVsAwo+hCgIEmzg+P9NBDD817OGvqBAgFdDyqxjAXMMAwC3nLfast4AUDBvLyDDQDR+j8DdUz7Dzpiy66KK2wwgpZ4AggD3m22WbLRk8OUR9co1jxrLPOyu9jDBlbRl/OkCKYa665stEUnZC6YOQVNYouHHXUUTm0OGjQoHTmmWfmvnk/Q8274HnoF6O/7LLLpt122622WAnAEY5klAGORRZZJJPk73//e7KpTQlXPv/887kvrvMetNxwww1zP/UPIFKrgK7HHntsji7su+++ud6AF6MAUR0DRTN48OAMRtASeDA2/QY+RGUUKaJFQ+mIJrJBu7s8wEDbnFLG+y9/+UuWCcCfISZrcv/SfOSfftDoiO233z498sgjOeq39NJLp2222SZ98MEHaffdd8+AAPAuYKCkCRREk016gMNB1oAPsg5MrL766tnhEJHr3bt31mXeTTf5v2PHjvkArNKPtknp9t/rAANNnGMeKKPDmDYXDBAQ3vXpp5+ejS+v9eabb04rr7xyNlzAAM96+M03p1v+/0ZQriGQcoKMJqGD/hlN3oBJFCInoACFCIL+URLuATyE+yB/hpxhZ/x5CQoZjQfA4cUDCAr1GHt5egLNE+/atWtWAnL93g/EeJdTrigXRp1C4dF7t4iC+7feeuvs7VME0hb+59VTICIg3qdvFIZ+b7DBBunZZ5/NRtw7gA0hTfQCCDTVziIR0hyiC/rv3gsvvDCDANd6JuXmOaId4ZVEZKCJot5mLucwMOp0gCiegkG6BVDglRdHZcSIEWnjjTfOK6COPPLIrEvoAfJJV4g4AvF1wYBIY79+/dIxxxyT0wHSd1J69ATZF+ksJ14C5nQkcEAHiKByhIB8uiJa66VAgIEmzo3IAOPK4GhWETCijFljIwMElGANGXJqOuqofjl8p0hPjo6B5zFbPvzxx5/kdMArr7ySc3o8XsL84QcfpAW7dcvX8pABiMo1+1YsiAQwgPLtIgVyfgAEMCDqoAaAMdUPqxuE+Bhrgs/D4DlQGCISniVMry/6Ludv3JYw8fr9z0vgPfTp3TtdcumlGcwwyBRFafpCaQED7jdOYU3gR42D/ipeopTcj648VmAA2PDuumCA0qOUACmKCVhBD814FHWOzn4GTWSPNnt5RAba7NTlCCF5IleMtOW70mR0gwhcZSMjnIApp+yY7rjjb9mRoAdE7eiXxoIBkbYSZSDjljqeeOKJ2XERXRBVAEIAe+BAmoGOiEOwWi+fBRhoxtzwaBk1YWoeM2Mp9F9fAx4IQGWagIcr/F0fGFAUBFXz6BXuEKhhw4blEH19YIABhtor1+sDCQ6esexI/xTV8bILGPAsxp3QMp7Cf3U3QaoLBkQB5AVFEOQJ9Z/AUwoiGwDG1FNNlXr36ZMBBxBhNzu1AfWBgVVXXTWDAUCIoRdNEK7U5EB5+RRMiQyMDAwADtIH0iaACcV00003BQBoIl8HGGgiwVrR5eRYWN4SXIYdoOc0kFFguDSAHyCXggMKyAwZlN9vKhioGxmwpwE9JOVH30lXLL/88rV6SbpRv6J2pxUxTp2uBBhoxtwwroRHcZtQmOV3agfqNuE3HvkSSyzxuwJCYGDgwGNziLsyMtC9e/d0zbBr0v4H7J+BBoNIeBlgaQIerwK6yjQB7933BQwwrsLjwv9y9kAFY+/ekiZQyLfkkkvmPkkzADOq8n/5+efs5U/9/6MDFElJE5TIAOMuDG9MjAeB53X7/5/v/zMt0HWBnCMEBoAj0Q7vrA8MSBPIIyoulLbg1XieHCRgwrAbu+fVTROodBZBoPiMDaBR+0AhGRsFpyiK8jNXZcVFM6a6am4JMNC2p5oc8dTV4wD7Im5WPFUaX/IulSekL2Qv0iYtJ30gTcDZEBWsW0BIftQK0SsiduoTRPFE5EQgSppAREJKTrqi1CrRS1YeifxJFQYYaL18FmCgmXMjby06gNFV2jNsqt0rDR+vXfiadyt0Lz+nCv8/YGBgBgOMOWSvKlgV/a677ZqGXjE0L5cDMAi3sF4p4pEf//cPP6QFunbNhXvCcgSwgAHGT8jQffPNN182mow4YKKfJ5xwQurZs2cuGmRICfV6662bdttt95xLLHlGhXny+QqGbrjh+vTll19lxC9F4tlyh/3690tLLrFkVhRSHOihf9IS9YEB6Q5KiOJaZdVV0i3Db8neBOXB88eMwIboiAIo7wEGRAyM06oASxQVOlJ0aiSMwTuBH6AIiFIYBcjo81NPPZlTIS2xg2IzWaVN3BZgoE1M00g7CcQLxXMgyD99VJbclptuHn5zDtV/+q9Pc1RgwQUXSEOHXpnTDPQU3cBgky2rBUoBoaiftKjIAz3DObBKCphQ3FvAgGiDiARdB+CLLs7TZZ404JgBOdrnJ8BA6+WzAAPNnBsGXDifNysvxpuFsoXD/K9yV76OwBCmc885Jx3Vr182YEL0jBgB481qDBrwIC/PuMqz8dZ57oCH+4Tc5eVEJBg7zeoCoTnXaYyhYjr5doKnNmDOOefMYEMT0RAlEBp0HcPMGPMIPAP6pxh46gzxa6+9lr2BzTbbNB1wwIF5dQOlADQAB2olgAthSsabUWH0hSeBCQABkDEe9zL+AAsPnidibDyK7bbbNk0yyaS5qFCRoXcAMDwZSkYEQt+BBekKqyY0EQE00dQ+8Hq8S/oCIEEn0ZTIVY6a0QMMNFMRtJLbRMFExDganAzefd1mFZLoAdAPHNMn5Pi5557L0QQOQlkBIOpG/wDZQIEIAFkk265VLyQiSC/5e+jQK9Iiiyya3w1UWD4MOLhWoSIdFbU7rYRZRtKNAAOjMT8EkFG1+ZBQG3TO8DGe8883X1p2ueWy0DFOjLGCNs19vHbGjvH2v/sIHQOuep8wCeXL1TNwDKhKYUvnLN0pm/t4nloA+bnS3nn77XTnXXdlg8iwM9je7108AujfO1999dW8QgDKJ9DSFACBaAGA8PTTT+ewPYHm+cv5eYb3UyzGK9oABKlvENp3vVSFJrzIS3Gf8QjvC1Uaox808DwK5ueff0pffPFlHi+j73n66DuAgWIxFt4OpgXGPGOcDuPkKIN+iBiodDYu9ASUlllmmao9FKoprB1goCnUap3XSh/y2u1KWN9SZ3L5+OOPZ7kGxkXapODIJYfF/5wDnn3x4AFqnj8dRs9xRMigNBx9VjYjkg70mXdwcERApQbULBV5bp1Ui14VCgQYaCFeYJygaUarLZ1IqMBRv/W5KcvvCD1DLqIwOl43ugEt+gGA6MfohhKLV9KYQ5BaaPrb/GMCDLT5KczgucjkmBoNUEDmG5JRcu2nJeR5TI0lnvt7CgQYCI4ICgQFcnpHxEd9iUhTtKBAUKC6KFALBnr06FGj+jtaUCAoUF0U4OWpbQEG1HUI7UYLCgQFqosClnLbm6LDPPPMU6Nwq+R7q4sMMdqgQPVSQCjXPhT2wpBvlj8Wco4WFAgKVAcFpIjVWlmF0mHSSSetUT0aSqA6Jj9GGRQoFFCzYfmmWguFZVFrEbwRFKguCogOKvikBzqstNJKNQ6GCTBQXUwQow0KAAP2u1Apbntna8SjBQWCAtVDAWDAqi3LSzv06tWrRgFBtKBAUKD6KGCPBjlDYcIoIKy++Y8RBwUsabe1e4eePXvWWKMaLSgQFKg+CsRqguqb8xhxUKCSArG0MPghKBAUiKWFwQNBgSqnQICBKmeAGH5QAAUiMhB8EBSobgoEGKju+Y/RBwUyBQIMBCMEBaqbAgEGqnv+Y/RBgQADwQNBgaBAPvPFXkNRQBjMEBSoYgpEZKCKJz+GHhRIKcBAcEFQICgQaYLggaBAtVMgIgPVzgEx/qBA1AwEDwQFqp4CAQaqngWCAEGBiAwEDwQFqp0CAQaqnQNi/EGBiAwEDwQFqp4CAQaqngWCAEGBiAwEDwQFqp0CAQaqnQNi/EGBiAwEDwQFqp4CAQaqngWCAEGBiAwEDwQFqp0CAQaqnQNi/EGBiAwEDwQFqp4CAQaqngWCAEGBiAwEDwQFqp0CAQaqnQNi/EGBiAwEDwQFqp4CAQaqngWCAEGBiAwEDwQFqp0CAQaqnQNi/EGBlNJee+2V/va3v6VrrrkmLbjggkGToEBQoMooEGCgyiY8hhsUqI8CAQaCL4IC1U2BWjAw1VRT1cw777zpt99+q26KxOiDAlVGgfHHHz+99tpr6euvv050wIQTTlhlFIjhBgWqmwLjjDNO+vLLL7Me6DD99NPXLLvssqmmpqa6qRKjDwpUGQXGHXfc9I9//CN9/PHHaZlllkmTTTZZlVEghhsUqG4KAAMffvhheuqpp1KH7t2711x++eXVTZEYfVCgCinQoUOHdPjhh6d77rknXXDBBTk6EC0oEBSoLgrcfffdadddd00devbsWXPrrbdW1+hjtEGBoECmQNQMBCMEBaqbAlFAWN3zH6MPCmQK7Lnnnnk1wbXXXhurCYInggJVSIEAA3/QpP/www+5UEuI9o9oakN++umnJF883njj/RFdaPCdilnRaeKJJ/7D6NRgJ9vJBQEG2slExjCCAs2kQICBZhJudG5jhE877bS04YYbptlmm210HtXsex955JFcNPbnP/85zTzzzM1+zpi88ccff0zXXXdd+v7779Nf/vKXNPXUU4/J11X1swMMVPX0x+CDAinAwB/ABMKx22yzTRo4cGDadtttx3oPLr300nTcccel/fbbP22xxeZpookmGut9aMwLRS9eeuml1Lt37zTLLLOkk08+OU0//fSNuTWuaSIFAgw0kWBxeVCgnVEgwMBYnlBh7+222y7v9LbpppumU045JXXq1Gms9OKXX35JN998cwYiO+20UzrppJPaRPj9jTfeSKuttlpaZ511Ur9+R6Wpp55mrNCrml4SYKCaZjvGGhT4XwoEGBjLXHHfffeljTfeOP3rX/9Kc801VzrvvPPSyiuv/D9G+ddff00ffPBBXvupqmDaTp2yBy+PPuWUU6ZJJ5009/zTTz9Nb7/9VrI9xBxzzJGmnXbakY7oxRdfTLvsskt69dVX04MPPpivt7b8559/zu/37Kmmmio//913303Ag3dKI/jepjRvvvlm+ve//53TGzPOOGPtu9z72Wefpffffz9/P/nkk6fZZ5+9ds16+dwNU0wxRX7PO++8k2sCLGVTu/DRRx+lf773Xppo4onz/ZNMMknq3Llzfnffvn3TxRdfnMHTJptskqyLjdZyFAgw0HK0jCcFBdoiBQIMjMVZ+/bbb1P//v2zUQMG7Py23377pX79+qUJJpjgdz2RK3cdI8t4ut5vjWfPS37++edz7QFAIL/OQHve3HPP/T/gQp3CmWeemY444oi0yiqrpBtuuCEb7yFDhqT7778/G1cGeu+9907LLbdcTiMALmoKdq67OcgAACAASURBVNtttwxKhpx6anrl1VcToAKM7L///mmppZbK77rrrrtyJbp+6BfjLvKxww47ZMMuNXHVVVelb775Jq211loZCJ199tnpu+++S1dccUV+Jtp8/dVXacKJJsp1AhtssEG+37Nuuumm/LeNsTyngKGxOH3t+lUBBtr19MbgggINUiDAQIMkarkLHnvssezZigQwpAzefPPNlw3pTDPNVPsi16233nrZQLqewWVAGeT1118/G3zX9+nTJz366KPptttuS2+99VY2lmoQjj/++P/ZUhaYkBpgVI888sh01FFH5ec/9NBDad11181e/2KLLZYuuuii1K1bt2TPiVNPPTWDgkUXXTTfi1nk7UUUunfvnn9OP/309NVXX6UePXqk6aabLoOL5557Luf5Z5111nTuuefm60Qjtt566/Tkk0/miIGVFO+9916mwcMPP5zfB9i4f4011khbbrllBiU2w3EtgKHgUiRDqmPFFVdsuYmJJ8XSwuCBoECVUyDAwFhiAB7zWWedlT7//PN06KGHpp49e+Yd3zQGn0de2r777ps/Ez6/7LLL0pJLLpmvv+OOO/IOUYMGDcqevdoD31199dU5xC5aILR+++23pznnnPN3IxP2V5H/9NNPZ49cukATeQBMBg8enKaZZppskKUxzjnnnByNOOCAA9ITTzyRjT3g4l4RCAb7k08+SVdeeWUS8RC6n2GGGXJ/jXXVVVfNKQJ1CUAKILPVVlule++9N0dEPEcKwOcbbbRRBgrDhw9PSyyxRDrxxBNzemLEiBG5L/5WNwAMWAEhtbLjjjuOpZmrjtdEZKA65jlGGRQYGQUCDIwl3nj77bfTgQcemLbYYovs8Qp18/Dl6x0ZaytIxlFzHYPI+DKuDGSvXr3SX//61wwGGFjevQiAcDsvmofN69eGDh2aFl988d+N7JVXXskGnDfume4p7YUXXkhrrrlm+vDDD9Lmm2+RgQgQsPnmm+d7jj322AxgRCMYZyF63rnUg8iBtIMIwBdffJ7mnHOu2qNwgQHjYLg/+vDDtOVWW+XUQ9euXfN4K1cGHHzwwXlc6CHCYJzSIaIL0hAiH95t72xRDeOP1nIUCDDQcrSMJwUF2iIFAgyMpVmTF5cTZ9in6DhF+uKLL9Ltf709h9h5ysLtQvEM3+OPP549ZTl9yw8XWWSR7Hkr6BNGl8dnYIX0RQB42SICwv5y/8L8HTt2/N3ILNFbffXVsyeuLwx9aZbwiRTwuBnonXfeORtfKQEFifvss0+OHIgIHHbYYWn++efP75LLB0YYbx6760UTgBv95NHXBwakPACXyjoJYOXQww5Nt95ya44sqF8AENQrGJv+oIE0g2JCdInWchQIMNBytIwnBQXaIgUCDIyFWWPchLj/9Kc/5fC59tuvv6WhVw7NBlhF/UorrZTD/Qyr0L1cPu8YWOjUuVPqOEXHtMcee+R0ASMrtM+TFtoXegcANCF7gKJugR1jqg5BPv/888/PofvK9sADD+SCPQCEkQZOXONZPHFFjlYZSHXw0IEO/fbbqgfP/uc//5kPurHKQKEfI16bJvjgg9rIgLqH66+/vvb1xgtM2GnQ8xU6Ahtopa9qFKxiQMO///3vuZaB8YrWchQIMNBytIwnBQXaIgUCDIzhWWPUhg0blo3itdddm2afbfbaNyr+k/dXXGd3Pfl63q97pBCE9A866KA008wzpamnmjpvG8xQM8DSDO4FNNZee+3suSsCvOSSS9L2O2yfui34H3BQmpoCxYXqDoT2PbeyWZGgINEqhtnnmD099OBDtUsHAQXvsBJASuCMM87IRX3SEcsvv3yuKfA8UQSgQXQAgABIpBeAGGdlS01YuQA4qHkoTWSCMZLaMH7pj6OPPjoDJOACGEAjNQ9qB4AmRY/RWo4CAQZajpbxpKBAW6RAgIExOGvy+FYKyL//VvNbOmnQSdnACeFbi++7Qw45JMnZM/Aq5KUSeNSu69ypUw7tTzb55BkICJ0rGHQd4y2Mbjmf90g/8NxtziOsz1hXNtcwsieccEL2sNUNVDa5emkHIfgddtwhnXjCibVfS08Yg6WOjLq0hY2SRCNEKEQmhPNFMRhuqxKkOkQM9Es9gb+Bgtdffz2nES688MK8SqGci7D77rvnvQ8UUopiSDN4p/+BCrUG6i2kMdQrVK6+GINTWDWPDjBQNVMdAw0K1EuBAANjkDEYR5X9igeF22eYcYbUffXu2aDx4m1L7DvGVpODX2ihhVKXLl0yCGAUSwMWpAeE4BlSKQehc88X+nev0Lw0Qn0bD/G+H3v00Rz6//mXX7I3D1xUNsV5jLvcP4Ne2Szps4TRagTpgYUXXjgvc2SUpSaAEmkCAAFgAQZefOGF1HWBBXJxooiATY+kBIxFcaTagVI34H6gyPcAh+fw/ktRpciKaINIA5BgvNFajgIBBlqOlvGkoEBbpECAgTE4awywkL/fpTFijKHPCgjwHbDgM7+F2RUQAgM8bZ+5VoicwT3+uOPS/gcckK/3fF69xrCOykj++MMPadBJJ+UQvKJDaQMeO48ckAAubr75pjRgwDE5OlG3lXd5r6LHytMOfceQl/H5uxQZGq/+l/EVenhGacZQSS9jKc8XRfnT8n9KU3acMkcZbKoUrWUpEGCgZekZTwsKtDUKBBhohTMmVM9Yy+1bm89o8satArDMT9Ehr7o5zY5/9jFQiKdGQVW/in+7BVoZMP/886UNN9yo1XjeoisDBx6b/va3O3N/RUSitTwFAgy0PE3jiUGBtkSBWjDQq1evGv9E++MpID8OCMiVqw9QC6B4z/I7SwktAxyd7XgBgssvvzw/U9QBuOC5r7f+emnfffb93ZkDfyQ1RArwJHoAKwoM40yCMTMjAKKUkwO0FlhggTHzknhqUCAo0GopYB8bdVkdllhiiRpbv0b74ynAQDvYx66BCgWF3O3uZxmhQ4PqnmPQnB4ztOoWNLl6wEBhYGs7Ith+DDYvMubKdEtzxhz3jJwC6lDUg1gVYqOnaEGBoEB1UYD8qxfrMO6449ZY5x2tdVEAEGAEx2TBnOf7Ca+7dc392OyNJapqPBSpBh+MTcrHu4ICrYMCosP0QIcFF1ywxvIwxidaUCAoUD0UUJPijAm7VNp9srVFh6pnJmKkQYE/hgIcABFiy8s79OzZs8bJcdGCAkGB6qOAvSlKzYB9IKIFBYIC1UUB9l/BeoCB6pr3GG1Q4HcU2GuvvfLulPZ7CDAQzBEUqD4KxNLC6pvzGHFQ4H8oEEsLgymCAtVNgUaBAUvRVJ6XQjb76FduGFNJQjUHKsBzIUKHDnlbXEvj2lpRkmIqh/YYizbFFFPk4iqfG7+NcFTglwp34zZe47RZjk17ohiruoWrLY0+wMCYmy26wqqgn376MU0wwYR5VVDlpl423Pr888/rrdeidxqzjNg+JHQ0naTY2IqQcpiYd//44w9p/PEnyLrL6pwx0eh8u4fWV3fmnX7oyLqNDnWfH/qVvdDPkdkM9LLaCm3solrfM8fE+Nr7MxsFBpwo52AcW8wydDbFsQd+fc0Oeb63zS6G3GijjVKvXr1aZDnc6EwGQIO5GrNiAkPKnzr0B6MaMwYHgGwHfOSRR+bdAW0CZAtfgoh5MXHZLdB1Sy+9dN4nwPbAwbCjM3tx75imQICBMUNhRt45GzfeeGPeWdSZHuuss07q3bt37fkadgB1wBc9Uqkn6B21HI4sH1Vz3of0zjvvvJN1kO3A3WObcAd9OVDMduK+s1mZuW7M8lE6D8BgxCt3Gx1ZX2yvfsopp+T3VjZ6d/vtt89r2Ot7Dvty/gXn55NcAQLgSR8dglaf08lo0cHOM5Hjbkzfxszstq+nNgoMmBz7yqs0tnOdI2wZSp5v3ajApZdemg+kwUgHH3Jw2m3X3WqN5B9JOmBm8sknz8Ckofbyyy/nMa6wwgr5GGEM6dQ82/gy8kAABrS/P6b1HXrMPvvseWvg559/Pp8fABjZv999wEK0oEBrpUCAgZafGTrwxBNOSJdedlk+qZNj4VRQp5E6A4TTxIvfaaedslPhvI9i2Fxj+3F6a1S7bj755JN5bwj7cJhDB4PRNUCFw8icMOqcExFaBWL0+DbbbJMGDRrUYMRBVNRR5ltvtVWabfb/O221PkrZKdR4nnj88TR/1661oMY49JF+dER6Xafoww8/zBuKzTvfvOnAAw7Mm5+hBzoAUeVo9vJOG685vVRkwMFrO+64Y4CBFmLdRoEB78IY9svHUBhLsRGvt7JBnybSTkZCW7bUNdGtoR122GGp0zTTpL322afB7hAAh+LovxP+NIJtd7bhw4ens846KwMLSBwyhWz92B1QK+cI2CnwkUceySfvOS0wWlCgtVIgwEDLzwyDtcvOO6e+Bx+cllpqqfwCunHzzTdPXbt2zU6FaAD9wDg7vKvoGieE0rHnnHPOSHcEtRSUTv7o44/Sbbfelgs/S2hdaoD33L1793x4mSYCwUP/5ttv0n333pcPRRtVY6gzcDjxxLTQwguP8lqHpZ155plp1z590txdutRe64Ax4xQ1qC8aweAfduih6ephw1KPHj3yfa7lRB144IEZ6BSnkw3inNmMDagBBhy8FpGBluHdRoMB4S4hq9ffeCM9/dRTebJ4vyXsDvUCCqeeemrO+zzzzDO/AwMlLySkRUisZZ5//vlz3gdaFB567bXXEgYUziIYwuvuE3b66KOPklA/75sRBjwwP0+9MfUIRx5xRJpm2mkzem6oOQxHCAoQAAocjFPWYSKYyAewox9bbrllevbZZ/N4Kw/QQYNhw4ZlQf/pp5+yIEaVdkOUj+//KAoEGGh5yn/yySfZu3cIWGmcCkCAM8FI0nFC8fRaaSKxjPC8886bT+msG4F1nXsY0Ysuvjgf3kUf01GimPQpT33EiBH5XaXmQE6fweW42OK7ITBA52633XbphOOPT90aAA5qFb7/7rvUqXPnWn1Mp6+99tpZl59//vn/Q2C6fbPNNsunodKrxblkH6QIlllmmRzZEOmgQ88++6z00IMPp5133iltuNFGecv2iAy0HN82CQxAaQw4tGqibVSy6qqr5t5ghkMOPSRNM/U0+cx6D66MDBAKe+BjSIwqxL7GGmvkcBlmx/TC6g7L8d10002XBgwYkAtEMPsNN9yQAcSiiy6aw/CQISETgq/vFLu6RSz9jjoqTT3NNNmQl0Zo6svlSxMI60GgmJKHj1EBF0WF+iG8Nyow4B3SB04GfOyxx/I2j8BUtKBAa6RAgIGxMyt0HwO98sor5wgjnVK3CYWLHhx9dP/Us2evenUUnUK30HN0p9NHRWzpqxKFqPtcnrXjxDlwDijjdFW2shNp+YzDJZLglNQFu3VrUG/Wfd8999yTPXd1C8VO1H2f1IEIiDRCicLSsUALwOQMFfr2gQceyAeV9T2ob+owTof8vEgTtCzPNgkMOEdevoaXq1BEEQyDbdLkhY444oj8I1wknF7AgLA5oy9/ZAIJwCGHHJLD7pCfopqNNt449T3ooPxMBS8HH3xwDq1vsskm6e67707WQQsH9enTJwsSZvZ875KKqIwOQJFXX311LmJktBl8DKefyy23XI42+AFsMF3dokJePbRqLIAH9L7SSitlUCB/R+i0hsAAZK2/N998c44QCJlFCwq0RgoEGBg7s6KQkKFXW1VfDl0vRFcVBDKQJfVY2Tv66exzzs6GcbbZZstRBIb++uuvz7pMmrO+OgN6lHHnQOXNZepU9nN+9E/Ugd70+9rrrk091+qRZphxxgw8OHNqENRTjarRwWyEPt1///31Rjfc7zyc4uEX20CvchSlFdQ9cBb33Xe/fFDZjjvukCPTPXr2DDDQwizbJDCw33775bAOBoVAee9SBSbpoIMOTF999U066aRB2WhWRgbefPPNbIQxrtAPRuPZ33nnnTknJNQOJQMCwv7ySI7VlfPiTX///ff5fZhDlGCmmWZK9957by7yAyp4+5V5I4xI2ITJyud33XVXmrJjx7TEkktmEmJsxSnCa5XLfAp9CZwIAQMOnAA03tu/f//cX89tCAwIE+obwXYqnDFFCwq0RgoEGBjzsyKPz7kpeqy+Snl6x4FhjOHAgQPrXYWlSPmgvgel8849L+tNK7boJ44RQy+KSedUphdEcg/Yf//0/b//ndQj1PduYEC0F7DgXAED9Li6Aw6bpsZBEfbIVpMVKnKE6HMFjeq1RtbYBl4+HQ+odOnSJQMStRWbbbZpGjLktBxZEGXlHIoUP/Xkk2n17t1ztBUQGpPntox5rmg9b2gyGOCFCzVRHvJA/fr3SxtvtHFac8010mmnnZ49aHkm9QMlMmBJIjTpnlVWWSV75ZgRs3bu3DnNNtus6aOPPs7RhIceeiiH4oWF5Ot51GoFMDgw4Z1AiOuAAQClRA1GRdZjjz02dZxiirTb7rs3SH05O6hZ//yNMRX4qAvwbimLxRZbrEEwgNExq75C685+iBYUaI0UCDAwZmeFsePkSIFyVEa21v/RRx/Ny/9EBaQq62vAACfJSgNGX6RUsyKBTuTocLQYVg3AUJ/AS6fH6kur1veeUjQ++JRT0lxzz90kAtH5HCB6l00YVVNzJYpgb3wOmroxOvOYYwbke1dddbXstKlxYDtKyllUd911180OaonWNqmTcfHvKNBkMADZYlbHHUoZzDjTjGmuOefKiFGUwKRAeJVg4OGHH87oUui/LIPRC4WBfr744vN04IEH5Xv32ovx/zaH0ITpGXvXjC4YyDUDU0+d9mhEAaEUBLSp+KU0UQZRCCF/qRGVrqOKDBBIqQnVr/rvbwAiWlCgNVIgwMCYmxW6QNrS3iWcG3VP9TXXCZsz8HSm9GR9jXEXUhdp5OUziJrCOwCCMZWvn2eeebLxlB4QUbXSixfeWE9aZFNdgtUEXRdYoNEE0j/vY1zUiYn2NtSkHzheIhgiHZp71Vhw9jRj4aTRp/Z5UUtgTwXgqr7ai4beGd//ngJNAgPy/pAnMKBgkKGW02HEVc4LbQnR140MWCUghzXHHHPkIhATiPEtIcHAPGhFicJBGBsj2zRDZAACFhmQo6qMDBAWTKNPFFllmkDITBoCI5VdATFnx44dc//LroGEDUquGzLjxauB0KcSatNfITTvMm7AQFhNykB1LnRrfKURSH0XRQCCFPmMbNfGYMqgwB9NgQADY24G6AD7CwibS5PSVfQD3cfbtUeA5jNertA6D75uK8bQb4rbvi9SsvSkRh8J4dNrnBY1UpwQNQjSlUL73sWYcubo4coUKX0pHF92jxUZsBnSnnvskSMDdCBDT8/RxSNrjLq+SYfQe3XTsGUcde/XL6lheld6FhBhT9iHorPdo49WEahhU3Ro1UVjAc6Ym+W2/+RGgwH5LhOgOtQOWhiD969ADtKV5zEhJhRDKxoR+nG9sJaleow95le8YqmivD8Pe/jwW9KVV16RN60AKPr1658BgeiAyVYvAEwIe0kTQISqafWDwcUUlYZWSA5IENaX+wII5L/8XZbZYC7hNZGKulW10LYQF8aEpjEzQAK1qx8wbnUSQI51voCHokoFiQRBFMFYbNCEFjlF0bFj2+eWGEG7pUCAgZafWjqGl89g02vqphhT+kka1Gf0Yglx03kMoOLlymXInsN40yN28aMXSz2S1ICUgDougMPz1BFwpkQEAJAFFlggp3YZVhFcupkB9bzKrY45NXSeZ9OZdDxPHago+lX/2QF6cWQNyOnRs0c6uv/RuR+lUNG9vPgrLr88HdWvX9brpdGvp592Wjpx0KBcYyCiWkBS3fc8+sgjaa0ePXINQewz0HJ82ygwgEmgNWgTauX5M8SWszB6GNTGFqr31QkIiUGXGA5Y4O1bScDwywUBB8I6GEoIyMY8JtU9ivSE552rzEhjZojXEhP1Be5RYCOERAisYfVc0YrK5h2VywsBFUJV+Vk5R6BuVa13K94hKLPMMkveGQw6fe6559Nee+2Z6wCsMrASggDr98wzz5yRsKgEATI+UQi5rsbsLd5yUxpPCgo0nQIBBppOs4busJZfWoBxrfRs3cez5v2Wqn+G2v+cCo5VpSF0L51qjnjc0pQaZ4cz5FqOjWgmgMGQKn4WDeCo1G2inaKfdXdj9R56s/SVXqQ3GfHK/otsjMoTF4XVX6BEqqI0IAhYUYPFsSobCKkvuO/++9Lbb72dU8zAzqiaXQ433WyzHHFli2LToYY4sXHfNwoMMPJCM5iOsXPQBoPMsAIEwlK8Z3tvKwLRyh79qj8ZU8yjwhTCFRVgOIWpGErMprCG0AhBQbKEwjMhXrtbMdze53ogAUDQH8w7wwwz5HtaqvHshcggdmt+IV1j7tZtobTgggvkz9ULiAwYl74VIdJnlbeAS92IQ0v1L54TFGhpCgQYaGmK/ieHr9itLGWuNLIKCO03UELo9IfUJw+8vmWB1vzTkfRc5XJDTgqdyiFheOla+on+AgToa62ugRfNHVMHFtHdIqQASl3vHkjRL2Okt9kVzia9ru+cwYY2kRPlZRPQwTPi3JeW4d1GgYGWedX/PWVkOaOWfk9zn1e3fwSq7FfQ3GfGfUGB1kyBAAN//Oxwikpa84/vTfN7YBylVquhp5SoQ3j3DVFqzH//h4CBMT+seENQICjQFAoEGGgKteLaoED7o0AtGOjRo0eNYpdoQYGgQHVRgBen9sfqHrU5CmGjBQWCAtVFATV4ajA6zDnnnDWK3aIFBYIC1UUBYEDluToY1d/qY6IFBYIC1UUB9SeKOztMPvnkNSpc61a9Vhc5YrRBgeqjgHoYh4RZ3qWwd2RLuqqPMjHioEB1UIBDYO8geqDDaqutVmMDoQAD1TH5McqgQKEARWBtt/XnluxaEhwtKBAUqC4KOL9H7VCHXr161SggiBYUCApUHwWsh7dbnZNEKze8qT5KxIiDAtVJAZvp5dMse/bsWeOfaEGBoED1USBWE1TfnMeIgwKVFBhrSwttGCQnYUOMyqM1G5oOa/xtUmRjo4Y2o2joWfF9UCAoUD8FAgwEZwQFqpsCjQIDDuGxZaTdsexT7QTCke21byctWw7btRAAsEOUAzLsoOWAn2WXXTYf5dvYIyfttz148OC89aQtj6MFBYICLU+BAAMtT9PW/kS7AYoGO1/FjqmVzdbBlpo6Q4FD5tRYRwbH1uqtfVab379GgYHXX389n05oL34Vxw6IsMd0fdtA2hrT3tK24lx1lVVT34P75hMHHTmJ6ZxP7WjiuidZjWwICpoc1+lkLicERgsKBAVangIBBlqepq31ibaNv/CCC9L5F1yQt4B3xsFcc81V211bCTut0PbHDlqz2sQBQw5no7vj0LXWOrOj169GgQGvcGqhEwRVHC+22GIZUTo9sLI5EctJWMCC5UmOzrSJgQZd2qfbfv1QaGP3k3asJjCiwnlM7aU9eiSMu4MCbZ8CAQba/hw2dgQcNYcoOXzO2SuivpXHrzsJ0fHwVpgU/W0zKgBBpNa5NNHaHwUaDQYcfOHELEzkoAiheycSVjaHFKlKdoAPI37O2eekTTbdpPYSaQM/ZR9qyxiBhPJ/OQOgbm2A1IPPKk/KcsqX+3zukA4pjMr7Kr/3Tu+qvL+cXlj3XT7XD2DGvtn+rzwe2XeeVflZ+2OLGFG1USDAQHXNuDSAE2OdkCgCUAkGSlX5IYcckpea0bPDhg1Lhx56aF5twhmM1v4o0GgwoIjPUcHljG7MYynSdNNNV+v5n3/++flIX02+yXHGm266aTbW6g6GDx+ej/p1ZrfwlGudPnXQQQelG264IT9PTYGjLaURABCMeskll+R7HM/54Ycf5tO97JQEnAAghUEdb6w4UT8ci6y2wX0YHzN7HkZ2RDLA4khmITG7rjkxy2la+qGeQUpi0KBBOd0BJft59NFH03nnnpu++/77fEa550cLCrQHCgQYaA+z2Pgx0ImOP6bv6kYGbDyz6qqrZudK9GCppZbKS86AAkcfK+aO1v4o0CQwwGg7lpKRZ9xPOeWUHEbCNI4nVhi4zjrr5K1NGf4CBhjZfffbN91z9z05mqAG4OSTT05nnnlm+u67b1PPnr0yOMCgzz//fDrxxBPzuda33XZbzlEx+BdffHGyXbLfRx99dK5dwLBTTDFFXm3g2Ey1CfJZvHdpDc9Sa4CR9QeYWWWVVZLztkU3Tjnl5HT66WfktAbQUpDyLLPMkkGJa1566aVcDOk74xAxADSkLACMQMntTyiqcUQBBqpr1kcFBuhPupmeVTBYdNzAgQNjQ6p2zCZNAgP7779/2mSTTfLKAJ6x6lJIccYZZ0zXXXdtuvTSy7KRZ4ArwQDGU6TC4CouPO644/Iz+vfvnw2q/zfeeOM0YsSIDBbmnnvu/Ln7hgwZkusQFBIqZvnyyy9rjbbVCa4Xsu/Vq1feSvHwww/PfeTRe5/zv0UKgAefi0xAu5hc9GLHHXdMxiUaoR6CUlT7oGBmoYUWylGHPfbYI0cOTjvttNSlS5csKATDWHfYYYd2zB4xtGqhQICBapnp/4xzVGDA9yKw++y9dxp+yy1JylXUlWNWt06suqjWvkfbJDDA+DLISy+9dA6Rf/DBB9n7Bwp47TxzhpOBlHcqkQEkZKhFFRhtxl+6QQ5KQcpjjz2WAQUPfJtttsnhKFEB4XpevHAWA15WE/hfQYufNddcM88QQy/0L3LAiIs0+MxSyCuuuCKnA4AD7ylgwPaLwIDn8fxFEqQVOnXqlG6//fb8XKkMY5MmACo0fdZPgMB4owUF2joFAgy09RlsWv9HBQbUSg0dOjRdPWxYWnyxxdJVV12V9SkHUB2BaGy09keBJoMBBnattdZKF1xwQfbKGVMGft9990033XRjmmOOOXOIvzFgAGPJWcnFM9JOTWOMpR1GBQaAEksdgQF1BNrmm2+eXn311XTRRRfVggHGXwQAL7+/twAAIABJREFUYzcGDEhHMPJWO6hJ0O6999603nrr5ciF6ESAgfYnBDGilCNiImWOMY/tiNs/R4wKDNCj6qi23267tGeFkwQQXH311XnfmGjtjwLNBgOiAjxmHv/EE0+cvfABAwbkkFJzwcC7776bjXFLggG5/ZFFBtQ2iGKICogOBBhofwweI2ocBQIMNI5O7eWqUYGBs846Kw0YcHSOyvbqtXZeUSU6UPQkJy5a+6NAk8CAZYPSBNICVgicdNJJGQA4/1w4XT7d5wy6MLvcOo9dAxpsOKSSv6QJMNX111+fq1ntVFjAgBTCnXfemWsBpBpEAirTBPrB22fkS0V/iQxcfNHFqdtC3ZKNNUQGABXX6pdCQs3/IgbnnHtO6t+vf14OqS8KBEUmKiMD6gig5MrIgGiGZx1zzDFZQKIFBdo6BQIMtPUZbFr/RUrpveuuvy7ZKG62WWerfYCoa9++ffM+MWq87Amj5oteVyTeu3fvpr0srm4TFGgUGLBngP0FVOOLAFjSN9NMM2UjLk3AWDKMGEzIX/qAYd9Jcd4BB+SlKML+rl1xxRXSKacMzmv4GXlheKGn5ZdfPtnsAoNaCQAMABmeKzyPCRlskQe1A5hTtSuj7HqG//PPPk8nDjox1xH849l/pJ132jnvLQA0zD777LlG4corr8wrHuS9nn/h+fT0U0+lLl3myQWE6gusmLA8kcG3bNK9xr3kkkvmegSRBkJiRQTgAAw1ZROlNsEV0cmqo0CAgeqZcvu22IqYwVc3Rcetvvrqaaqppqp13KwSow8VZPvcNVZRKZqOI67bJ680CgxgGLn4b7/9NhtK+1QrJhFqkmP0vxUACvCEmFTyQ5M8e0v5lllmmcxE7lccyPADA4CDZSyYbvMtNk8PPfhQZlLfde3aNW+E4ZwDS/x48qIKDjsCFDC0Qr911103AxW7G2o+22GH7dMll12aPvrgo/wZ5sX4ChQV/VkuKEqh36IEVgroJ2KU59ieUz99JsoAVCy33LL5+Xfc8be8OsFeCMCRmomycVL7ZJMYVXunQICB9j7D/zc++oxDozaAHuUYKZCmx6RoRWYVY9t+Xh2X6Cq9Z0WB1VlxYFz75JVGgYH2NHTMz5DbFlnqABhh1Bu7PXJ7okWMJShQKBBgIHihPgqICgMH9GW09k2BqgMD7Xs6Y3RBgeZRIMBA8+gWdwUF2gsFAgy0l5mMcQQFRoMCanVsB26TrVhaOBqEjFuDAm2UAuVMig5rrrlmjc10ogUFggLVR4EDDjggbyNu7w71OtGCAkGB6qKAvXXUhXSYaKKJalT9yw9FCwoEBaqHAuplHOKlhsYKniiGrZ65j5EGBVCADrAakB7oMNNMM9U4+CfAQDBHUKC6KKA63DJh+9FbZeOwr2hBgaBA9VAAGLAXkBOBO6yxxho1dpmKFhQIClQfBQ477LC85txeGvPNN1/1ESBGHBSocgqQf3sIdejZs2eNAoJoQYGgQPVRwE6aziaIAsLqm/sYcVAABdrcagJpjNgTIJg3KNCyFIilhS1Lz3haUKCtUaBRYMAOgH4UFvmxPaUd+eprjLVrFSP423UKE1ti16qPP/4473LYrVu3vFVwtKBAUKBlKBBgoGXo2BaeYhdXG6/VdarodpsL1dXt9LgTC237brfCWWaZpS0MM/rYRAo0Cgw4B8Ce/raotFufMwUWX3zxel+FYZwn8Prrr+fKZFtc2jJ4ggkmaGLXfn+5LYqHDRuW+vXrl+Q3nU8QLSgQFGgZCgQYaBk6tvan/PDDD/lMFzq9EgwAAgsttFA+in7qqaeuHYbTael+Wxf73Lbtzn6J1v4o0Cgw4HCgZ599Np9ahSkUGTiDoL5200035SOMMR3GAhxaYitL6NQRw3KazgOwR3a0oEBQoGUoEGCgZejY2p/ihMLlllsuTTThhGmCCSes7a5orhNpBw8eXKuvneLqADdO4GmnnZaBgHNknDkTrf1RoFFgwLA///zztPXWW+ejiSFExUaLLLLI7yhijaJCJB68A40cP+w0wWhBgaBA66ZAgIHWPT8t0TvRVVFVBxUdecQRqfN/U630tiPa6WqbzjD2I0aMSHvutWd6bcRr6eabbw7nqyUmoJU/o9FgAMPsscce6bnnnquNDpx00km14X+eu+OIpQigTGjynHPOyV68hhHfe++9fLTxb7/9lk8kdAyyz33mt7CV0wkdCexahwpBojPMMEP+Tq5L+sF9agZ874TEL7/8MjOrUwk/+uijNNtss6VZZ501n6qoHw7bcKrijDPOmHNl7tFfxxF7js8++uhDWy/k07nURIiGWHfpICMnGL7yyiv5OXPOOWeafvrpc02Ez2zUYilWOf6zlc93dC8oUC8FAgy0f8agyxxDbLvpylSAU19tR815c8Is3ee4eEvNRQo23HDD9k+cGGHjVxOIDBx00EFp1llmyUwz3vjj5+OLl1xyyUxGBlUuCsPJM912222/iwxYtnj++efnYkIGmxHFgO6/4IILckeABIznLO0DDzwwA4Jtt902bbDBBrlw8Nxzz83M7BhiIavLLrssRyEmnmSStHavXjlqUcDCoYcemjdSscUio+49gIraBfd5n88OPvjg9Nlnn6Xzzjs3PfzwI2n33XdP6623Xjr99NPzGAAB1914440ZRIiGoANBefCBB9LnX3yR+3L88cdnIBMtKNAWKRBgoC3OWtP7XN9qLGldjg7njX5WT6DOa+aZZ074QvGgvx3pHoXbTad5W7mj0ZEBYMD+5Qylmy655JL8/+GHH54NLA98t912y0bcd8OHD68FA6IKq622Wvb4AQlt4YUXzkbU/3Y8cx9m3GeffRJDrkhF8aG0g+gABh0yZEgaOnRoLmjp2bNnuuKKKzIwABrWWWedtMMOO6QHH3wwn9WNaX3mOnUGQAOwIrqhyHH11VfPDA6g8PSBjD//+c/Z0AuVXXX1VenYY49N3337XU6PEA7g4LzzzsuRCs+2YyMgA+gAGM4EjxYUaIsUCDDQFmdt9PssZbDYYotlvUifi8Bymuh1wMCOlJylxx57LK211lq5ViwAwejTvTU+oUlgQDGgIhPGG2PMO++82ZgKOzHKL7/8cjbEGMuDS82A8P4uu+ySw+l77rlH+vLLrzIQ6NKlS7rwwguzURYtEAWQq5pnnnnyZ6ecckoGAhpEe/3116c+ffqkM844Ixte9zDU0gMOWbHkRdELIy0tIHLBcDP03bt3z15///79c3oB0LAygjGXPpD+AHQACsCEAHiHazxHP+6///5cHEl4gAuCY8c2IIjw9O3btzXOcfQpKNAgBQIMNEiidnkBJ0ahtxqwRRddNOvZLbbYIp9gedRRR+VicSnR/fffP1166aVZf4aea5es0LQ0ATCgyIRhZYR5/yeccEI2omuvvXY2ov5m1HnLlQWEvHErEh577NH0ySf/yl495gMGGHE1AzxvSkk43h7JJQWB9FIIjDKgIYRfCQZELWylaNXCm2++mVZYYYUceRDKty5WVAFAYOgHDBiQUxkiBmoGChjQN30XFYCQgQH1DlDwRRddlFMAQAUwIMoBkGgiFe6RblCcEy0o0BYpEGCgLc7a6PWZke/du3d65513MhgQ4ZW+laqVluXoiaACCPfcc0/Wn/POO0+6446/jd6L4+5WSYEmRwYYSFEBXvJGG26UFl1s0Vy8Z9kfw8iDZjArwQBDj7F400CD+zfdbNPUuVPnWjCA4YT4LWVRmKeewJ4CJQ8/KjAAaNx55515X4MCBmxMBAwACMAAA65flWBAX/VLZKCAgR133LE2MgD4CJXx/gGHAgZWXnnl2nRHAQPQsuhAtKBAW6RAgIG2OGuj12d6Vj0WJ86y8eJ09endO93217/mlChdrb300kvZybPSgKMWrf1RoElgQKjIEhQMooIfqrzuuutyuFydgBQCZFkXDAjdL73M0mnrrbZOgwYNyqH3JZZcIk091dS1aYJSk6BgTyEg5uN9l9UIwIB3CfWXyIAdCbfaaqtcA9AYMADZqhsATkQGAA1gwOoEKY4ePXokYEDdgMiA8QAYjQEDERlof8JRTSMKMFBNs/2ftKvaK/UBdCeHqDR7CohyqtESAabfAQdgwGoqDlC09keBRoMBKwQoDPkkxXSYiefNg5fjx1CMvGWFUKYcvpw/BrJ0BYAQ2j/yyCPzUkI7CMrrQ6WqVBWmSA8w1lYEiCB4LsOvgr8wr4JCdQn64XrMqtrVskZevEJGRS+iFVdffXVeQvPkk0/m1AbgcNxxx+U9EDbcYIP01ttvpZNPPjl16TJPBh7eVWoGTPVGG2+Upp9u+gx0RBEeeuih/L00BNRMSC6//PIMitBB1CHOTWh/QlINIwowUA2z/H9j/Pbbb9MB+++ffv7ll1pdVr596623stMnfTtkyKlpxhlnyquyOEnSwhypaO2PAo0CA2+88UbO1zOAK664YjaIyy67bA7JY5D1118/G3eeuuusTeXpyzcJ+1vzv/nmm6f/x959wNlVVfsD3wMqAvJEwUJR4AV8gNJDlRYSICTSm/CkheKDkEeN+k+khaBSUiBIgiQYmkg1BgVRWkBDkyQQBAGRJs1YAPVhn//7bt6OJyf3ztyZ3Cl37t6fTz5JZu49Z5919l7rt35r7bVcR9IgCl/CnliVhcUzlztAIfH8ZbhiBHjrQATAIPbPkGMHfIfxZfglLgID55wzNmy11dYRlPicJMcxY84K6623fgQtjL0cBUkxjDkDf/rpp4eVVvpgWHPNtWKdAKDFyQJzZfydJnBfXr/yyxJo5BhIbgRqVl11lfD1r18STytsueWWEWV7NqU988gSaCQJZDDQSG9ryecaiwqNGBEOOfTQ6FgVBxZWJVl6dIcdtg+bbdY/goH1118/6nMh0zz6ngRqAgM8ebQ9el3DIZSSOtay8gECGfuML7pe4oliPzxkf/yOl86wK4XJuG6xxRbBcUPGfL311ounAiSzuK4FB0gACxL9DAwBSt+1/cwcoFYljwGBVEAIqMBgQL0GVsAfoEMhDd9TkMgpCHURsAlOIjgNgf6Ss7DmmmvGgkh+7hSEARj4vWdwHeMDH1gxrLzyhwIUbU6ae/gutqNaE6e+t3zyE/UVCWQw0FfeZG3P4Tg2x0lolI4uD/qYDvZH6eJ/79cvOjr0dx59UwI1gQHG1mDci/+uJJJiUYvyZyHOBBJ8N322/Hf5d8V7F+eQfp4+n+aTqPp0/2pz93tzYrzTvwGGdI/y8xbnWXz2WuTSN5dPfqq+IoEMBvrKm6ztOegyzh3d11Zo02eMpBdru3r+VCNKoCYw0IgPluecJZAlULsEMhioXVb5k1kCfVECC8HA0KFDW/0njyyBLIHmk4DKn07xyH8RNssjSyBLoLkkoByAJPuW9ddfv1XxnCK13lyiyE+bJdCcEkATf+c731l4fEwSbR5ZAlkCzSUBOXFOx7UstdRSrTkLvrlefn7aLIEkAUmwHAE6IB+PzesiS6D5JCB/jh5o2WijjVpRhZkZaL5FkJ+4uSUgOYxHoIqoPhtO5eSRJZAl0DwS4ACowqszcEvOGWieF5+fNEugLAF9R5wllzPgKHAeWQJZAs0lAftfzYmWIUOGtEogyCNLIEug+SSQTxM03zvPT5wlUJRAPlqY10OWQJZArP6pc50Kovk0QV4QWQLNJ4FOgwHVB2UfavHrT3cP93/11VdjBUSVDyU+fPjDH45VAFUJfO97l4llhvPIEsgSaF8CGQy0L6O++gkVW3/605/GFsbaxqu8Om/evFgVVtVB1V7LSaVKxmtAt+mmm8aqhC+//KswZ87c0L9//4oVDfuq7PrSc3UaDPzqV7+K3Qm1+dUsqDtPIlisehTcfPPNsYKgUsG6CyprrDyxuWkedMQRR/Sld5WfJUugyySQwUCXibZXX1hZeN0JdWl1tFzyqI6F+syoTqi0/JQpU2I/ljQ4Ynq9KMX+Tn+XlWJ5+WuuuSY89dRT4fOf/3xml3r1W688uU6Dgauuuiocc8wxYa+99gqXXnppt9Ws1iL53HPPjQ2DdDbUOMMCXmaZZcKbb74Z622ffPLJQbtlTZTyyBLIEmhfAhkMtC+jvvYJnv/5558ffvKTn0TjzqlKhWemTZ0a3r/iirEDrU6xmsWloXsrHayB21ZbbRVLFRva2mtuNHv27Nh4Tp+WPBpHAp0CA5ChzoEa/ej2J9aoI2BXD8cesQEQrEZJuhGWC6SopT169OjYrEhL4jyyBLIE2pdABgPty6gvfYIuvfXWW6MX/61vfSt2o8Wy6uqqrfs9d98dll1uubD77rvH5nGpOq0W9TrJ6uzKEUtAIMlG+MC1dhowIEyYODGGHvJoDAl0CgzMnDkznHbaabH74LXXXhsZgnHjxi0WVxLH1zEQUkRD6WyoFbAWmMsuu2zMNdA9UDdDZxx5/dtss038jN+XhzCAxQu9Tp48OYKCSkOXRfGsXXfdNdJX2nW6/qc//ekwZ86cuED32WefWFPB5+6/f3a89zrrfCI+k3kJNejYpTOizoo6Hf7iF7+INBgwZJ4rrrhiDE3ce++9sTWzOc+aNStef8jQoeFjq68eqTZycC2I2uYRY+vXr1+8Ri7w0hgbpa/PMoOBxnzDdNFrr78W5s2dF/WZGD498/LLL4cBAwZEp6lSCBeLikGlz26//fbYFdb3tW3XFv6uu+4Ky/0fGHBNYVlMgrCA8MCVV14Rlltu+YpCc11AY9rl08Knt/l0Ywq2CWfdYTDAeMsRYMz23XffaJy1HMYS+FkaUOZDDz0UFw/jjk6aPn16NL4SUqBHxhydxPBCn/fcc09MShw5cmSM95cN5QMPPBCOPPLIoP3mgw8+GI10GhgBiYQ2h8VvYcstUG9dTMy/t9122/D4zx4PLS1Lhe/OmBFBynXXXRd22mlA0JhRD28JiGeddVY07ADHlVdeGcHOqFGjwuOPzw9nn312uPvue8I3v/nNmCgzZsyYCAB23HHHeG+AwUbcbrvtIkCSma01sjjczjvvHMGA2Bow4rsZDDThruuFj5zBQC98KTVMieNzwbgLwrXfujbqX4ZbG3fOx8c//vEY71933XUXu9LcuXOjHqenLrnkkoW/p4PpdYBA+3chgjPOOCPmhylZ/c1vXh4uvPCi6PxUG/To4YcfHh3G448/PrMDNbzH3vCRDoMBhs8LVpxk1VVXDV/60peiQWf0/TvRRhJPGNVbbrkl/llrrbXid0aMGBGbITCw8x9/PIw9++wwccKE8MlPfSqCB1UQeeM8+JVXXnkRcOE6qCmeNkTLM08DanV9n8FCvPvd7w677LJLRMfABfAAsQIhUPHqq60Wjjr66LDffvvF3zPKwIo5y4OYNGlSNOLmeeCBB4ZzzjkntvxEoVnkQMLAgQNjKMLGkUXr+Xn9qLb7778/XldcDRAASq6//voYl7v46xeHP/3xT1FmZZqtNyyKPIfmk0AGA435zjlnHCgGnO7hYGADhFPppQsvvDDq2+LgKKXcAMaevkqD3qb76GI6kcPDAZJQCBTQhfSj/6tYyQZw5IrDSQS6cc8994z6sqinG1PKzTHrDoEBnu/IL4wMb735VvS2GTJokYFm5IQPeP0Gg+vnmAA0FOrdAuPxYwksOMaQl8xjZ7xR9T//+c/j3zNmzFgkIxXTYLKu6ffz589fJF/AAreQ0VwXXHBBNPpXXHFFzHSFgFFn5gc5++x5550XJowfH6686qoYTjCeeOKJiGiff/75mFQj/mW++++/fxg7dmz8DBQtORFwOOCAAyJDoISrDQNsGJIYef7YAsmVzm5LZnQf4ACjIfYmQzczA82x0Xr7U2Yw0NvfUPX50Xtbb711zNuaMGFCzOPi4dNPGM0TTzxxkS9zai677LKoryT8effFQc9jF1x3jTXWiEwrkOHINkcIADn22GOj0+Uz9Pgee+yx8BKYUc6RkOvUqVPDhz70ocYVbhPNvENggLF0ZM+AGJMBZuQtFIbSUUMggXfP4PKcJfqJjzOSPH8LSYjAIoUwLWAxK98DCsTcxavKsa6HH344Gudnn302MgCDBg1a7FWh9hnrz33uc9EQmxdkzLhDwxtttFH8Do9fXMupCOyBYS5+Tih33nlnnEclMKB0K6Bhs2FFMCWya7EehnCF/ATJjU49CDmQm9wCz+ea5tgT9RmaaG3nR+2ABDIY6ICwetlHGWT6VU0AThowcO+9s8L++x8Q2Uo6tzgwq0AAB8fn6by2Rgq10nHCntiEdGKA4yVE7E86PcARpGflWdGTuQtmL1swVaZTMxiwgHjDjCQjnhL8eLaMqgx+FJLFxRsHFCTtUTI+e9BBB0WqHuqEJC1YixSdjl34xCc+sXCKQgQYhjKiVGSI4cUaABQW4nvf+95FHg0YYKwTGHC/BAY87MYbbxw/b16as2jMgGLzHJINGW2ggeEGaMpgIF0fI+B5ExgoImwhC6hYzM71sRr+mLdQATkATcATai+PLIGelkAGAz39Bjp//7bAACayEjPAScNWCn/Sl9WGcCzHjb7l/GAFhACEcDl5bAL2wYkEYQFDrRcM7JZbbhkdsmK4t/NPmb/Z1RKoGQwwlAyxJDjGVZZ8Gq+8/HLYccCAaPAsDrS/fzOoFh0KSXXAFVZYIaJH/0b1O+OKPWAYxeqBCJn/KCk/l2dQHOgtySkWp2tZaPICilQ74wtkaLjg90CMs7LmUgQD5ul5JCQy5ACLREZhAscS77jjjhgTkziDOXAOFzgQhoCQIV7zTmEC85cjYDz77C/C9tvvEA466OAwduzZMW4mUQdAwK7YWICNZ0ngpKtfdL5+lkBbEshgoHHXRwIDcgXkCLzDDNwbDjhg//ClLy0OBjhqHDC6DVAo5gwUpSAxHFCQSCgMiq31s5122inWdnGSTO6UGgQYUA6fIXlRiFSoVBK1U2R59H4J1AwGvHR0Pm9WfKo4LC6euMx8hteCRPljAHjfEKOwAtqdEZczoOwl2t+ClABjIeuWhs5PCXuVkusAAkae4ZU9ywg7Cyuk4MQAY22ersHgM+AWpXKbDLj6CIaQgFwCCxeA8HOxfbTaxIkT45yhYp8RP2PUX3zxpRhWEKbAJtgochzkMVj8gAE245RTTg433HBjZAKcpAAwxNdsGL8HIhynxLKIyeWRJdDTEshgoKffQOfvL/8ILU+n0s88cSFZekbospKxx75y6ugtjk55cOYUHrrp5ptjYja9bdD1HC2OEzCAnZUX4H70uiGsABjQ//Kpcq2Bzr/b7vxmTWBAkh96HEUkNsXzTvEhxpn3b8EweBgDn0E/odshSp67z/nDU7egLCK0k+RCn3Fe33cVtMAMtEctKXQkCUZvAkdn0O1Qq2OH7m+hCzX4DDpLuMCGgYQZaHMCBIAJtRAAEewHYMF4W8DyDSx0oY9UA8HRQ2du0WA8fPcHBrAa7othABagZRUSDZtCdq9QiE3lfoCEe+WRJdAbJJDBQG94Cx2fg6OFHCBMgKz9oZ8ZGnbYYYcw7oJx0ZnhhAl9cl6KzhVdSY9jKjkl5XClxG+6kTF3veJwWkDOkzAoUCExmg5PRh/44FhxjgCUPBpDAjWBAYaaYbSYGHTeLcooIUXZoww8Yw5RMrwSAlFE6CRUPiqLlw5QYBkkmfCcXRNlblGL/wMZvtvecD90PuMPpTLW6Cz380einnmIX/lsAiQ2THHhK6GZmh05EcFT9900XPeZZ56J1zc385cgiJUwz5QzIG7mOeULOIPryE0ar776WvjLX94Or7/+6zhn18mMQHtvOP++OyWQwUB3Srt+96JT6U+GmO41OBwcGz/jfNGr5WRln+XBc2gwuY4LpkFfqpdCLwpvJl2ffu+7QAS2lRMkhyB9hm7k0AEQnLpadHn9pJGvtCQSqAkMdOYGt912W0SVjKTQQTKwKHfnVaFK5+8b/WhdyhmQ4yAHIY8sgUaUQAYDjfjWlmzOHDT5TJwyCYDFJG6AwGhLPycnK82CoyT/SvhX6JWOz6NxJNBlYODHP/lxOPiggyN17zgKyh67AMU6g8p4KkvcqMNGsPiFOxT3kIjob6xDowOcRn0ned6dl0AGA52XXSN/k05WpRD1L7TpOGBn9Je8BbkHgIC8hXycsPFWxUIwsOuuu7ZChwkR1uNRUE3i9RIEXRd97zSCbNTubHlcj2cpXwNV5oigpEkhD7kCcgTEz4onLbri3vmaWQL1lADlj62TBCbsxSDk0TwSiMfA582LD7zhRht1qioqxldStJNXjezkNc9bX/RJ6QC5I2pOtKy66qqtqvbVa7g4o5hi+3INHDFJeQcpvlWv+3X3dTyX/AB5CSlXwt9iZ51B1t09/3y/LIEkAetV/FdukGPB+ShYc60N7z/p5TL1X6skYs6YVsYtLQtzF2r9bv5c75AAQKf/T8sKK6zQmpPaesdLybPIEuhuCVAEwl7ivMsss0x33z7fL0sgS6CHJeBovmT8lsGDB7c6MlfPMEEPP1u+fZZAlkANEuAZqkYnTKAuSLEbaA1fzx/JEsgSaHAJ0AGO+av70zJkyJBWdQHyyBLIEmg+Cag3r3aHeiESfvPIEsgSaC4JdNlpguYSY37aLIHGlkA+TdDY7y/PPktgSSXQrWCgs8kpS/qQ+ftZAlkCbUsgg4GuWyGSpzt6wkixoLZOXEnAToXeqs3cNdy3ownNvieZVPXCjsz7H3//e2hZaqlOnUZoS/qe1ZzUqknPIr9FATcF8CqVre+6t9l3r9wtYODHP/5xbEokOQEFqV62WgPloQSm0sdesiEzX31tZYQ7uqD77ivLT5YlUH8JZDBQX5ky1Gqq6KPy1v8ePT73vPNqqtGvN4vywr6vsp+mbOVSwQq6Octv6Luis2pxMJT6s2gtz5Dqr6IccS2G3ZwdM9WCXb8Z31GlVZVC1QWTHnaEWj+XVNlVuXV9W9xPX4KDDz64qs72mfuUW0hxAAAgAElEQVTuuy82SyqfKgOc9IdRl0ZRJNVqha/dR1VX4Sw5Lc8//3wske+oeqVW9vV9m81xtSUCA+nYoJK/alQrQakjYRpetM58XqAF7f/KDjuH6iUr35uGF6+Gv59DgK69/vrrxwpZmhjlkSWQJdB1EshgoH6ypefuuuuu6ADdc8890air8tdWwx5GkJH3HjQC0vtETxS6T4E2Jzx4x/TjySefHBM+GUcV/zhMWhW7Po/eWXGf//znPx+NLh162mmnxWuXW76np6ZvlRjWAE7DIfdI9QJUE2Sg1VLxOX8DIwCBeatNASy4Lz0PTLiXCrSV7sfZA3IkrLqW4bpAh+9ra6+0vCJuqXeNk26AledRD0c/mgcffCCcdtrpCwFRtWer35vt21fqNBiAEiHPWbNmxepVq6++WjjjjDMXKUHpuJKSw5Cc2tfqaE+bNjVceuk3InDQzCItOGDCy9fuGD1lcWhWBBDko059exHmp+t5CWQwUL93QHc999xz0XCNHj06bLLJJrG5WVtgQI8VDc/0QLnlllviZ5U6pz8ZYwXN6Fletx4q6Xpjx46Nxp7TpUaE5kKTJk2K7dp592qh7L///rF5muv4TCWWFSMAUKDdMROpfDznDTjh6StXzPj7HcDAkJvTbrvtFru8qsZKnwMOM2fOjCBhyy23XOx+alpoZrTffvvFNvXmk0ojK0ynuZxusBrGuS4gY6huiAkhJ3M1EoA6Z+zYeL2lll66fi+yya7UITAA8aL6ZR1bfEpZbrzxxpGmQf9jBYpUFCrHhtCdT4MgY/78+fEFCwG4DnTrupAoQKCXgQWkJ3e14b42jUXku2Jrrgc5Axw2o58l1KldsXKZmmq4bnEzOFtpIwAcmnkU0SUEmxogQdwagCTwYvMqOKRAi+uVr9tk6yg/boNLIIOB+r9AYU9OkIqOaPRqYIC+4iXrtOo9ABDG3LlzI73PC1bpVAt2+hFToBOhoWocY8wr9zsGkaPm56h2Q+gVSwBY6FRYdq7oUN42JgMAwUoYDD8HDbhAyQMAygynGL15uyYwohSxY2kGB5HR1iEW01D22B999NEIUnSPTaBDlVpMgrLuwAc7cfhhh4WPfPSj8YSLhkeeSeji3HPPjaEPgw7W+2bBr38dvnHZZRFc5NE5CdQMBnj5FoqFxQBqP7z33nvHEsMMbyW0WSnJRfte9BIQgAKyGCBFJYqhQxtm6623jvRXtfaXPg+9Mv4WiYWuL/fTTz8d2ylDlcOPOy7svMsusRwylKoDF0BiMwAnFjSkOXHixAAsaL+8/Xbbh1NOPSUyE1gL6FvLYswGyg5rAfVOnXpZmDnzlngNi9G9Id2cyNK5RZi/1fMSyGCg/u+gVjDA6PKqGVb0OwrdoJfoRX9jYRnm6dOnx26DQg8GI6pyLKdMG2HGlIMjTJHazDO+2qszoIAEp6Y46N0jhw0Lf/nrXyMVjx0wzB8YoVcBCCyte8gVMHRGxFRw+ICV1LLdfOV50fPCB8kRTPdkF9iLZDOACvkD5gaUYD4AGmuSHsZKYAI8/y+f+2W4ZeYti1TJBJK0VHYvIZOshzu3lmsCAxYI44y2P+WUU2KsX0ynM+Puu++OQAKdhe4xeNmAwVNPPxXuvuvuGLvipUOblWr98/I113AN4QYgxecXLFgQOwcCCYy3hxOrY6gtOI04sBVQukprFg4gA9lC4ZCsPxDuOeecE5G4GBZEjC6T9GhznnLKyTHUAXlD066tWEseWQKNKoEMBur/5moFAxwKxmzatGlh6tSpUS8lY4t15dww7vQUx0bJWMbW4FxxRuhmjhAdx8lJxpnBpdu0InZdbeXL5aaFELbYYotw4IEHhHPP/RdYYNTp66efeTrcdeddMSTA0DK6QAC9LQTx1FNPRV1LFxt6tQAn8h08TwIX1SSMzZUDkRq/AQ90ql4H9Dnnj9OJSSADDlpxYJS1TfZ8nMTcG6Fza7kmMGABMr6GFy4WBSV2FBAw4qgsiw8CLIcCIGSxNuBDfMtGYNQthPLQDRGCthChR1QaEMFzF2NaffXV4+JIRt/iuvbaa+MmsfAoP728ZaMeddRRAXoGAmwKbAFkinIzsCEWKJBBFq4PxQp3mO/s2bMjxVVLtm7nXlP+VpZA10ogg4H6y7cjYMAJq+uvvz56/hjIBAY4Xq7DgaEThVb9P5WO56RwUIREJReKoXOSeO9YUEwrnYfmdw+OETa1OAAN9xGq9Xsh1+LgyQMGHB6nFDAL9CBggDlIzhzdmcCAPIl+/frFEwbtdTAUgj3wwANjCIAOTnpUKIETau7YC9eUI5FAR5ojGWBHNthgg5in0B74qP+b7htXrAkMMNIvv/xymP/4/LgYf/rwTyMFtesuu4RdBw+Osfj2hmuggnjxFmulo4XpGpClhYwa8/lK4QLXEwKAqBlzi9hm+PF994UJEyeGZ555Ji4wizyhaAgU+kwUlkXkJIQY12OPzQ933nlHjL9hJGS2WuhiUBJa0gaCyoEE4AIiR71BrGSQjz+2twry73urBDIYqP+bqRUMcDI4MZgBxkz41eCQMPScpzvuuCN65IyweDpDa+gMSw8xgMnwclQo9vet8L5oQGfdMyteSyiCwS3XLwAyMKKcHICgWsK2HCqMqXnQtXK7MANCFZhdDGoCMVgBetbzFE+YVZKyo4NjxoyJIRK61JAXBsRwzOQdOGGAqcUKcCQ5o2lwDDmo7uM77YGP+r/pvnHFmsBAelQGEKUFCXrJjLvkEMaY4fQyqhlEi/bY444Nw48bHpFve3GdW2+9NVJeFqp4V6WBIpM8IqYlAWfKlEvDxhtvFLNQgRYoE3XGg08jxarSsUfJKCi0/fbbP3zhCyMjyCmCAfErc0hgwPdQZ0DIY489FkEAcINlyCNLoFElkMFA/d9crWCAY8PjZozpGomEhpAm+pvDwjESksQciNEnL1wIgFfMuQIGMKJ0tO9IfmZU5Uihzv2+Uqlpxh0YkbMgDNzWET0hCOADUwy0CPnee++9MRybzvsDL/K+OGKSD9tKBmdTrD2OGYCRQhgYX/kPQAUdDsyYH0AgREEOaXDc6HBMdQYDnV/HHQIDxdt4iS+99GK48cabYqIdmkp8qBzP8TmLw2IbOGhgOHLYkZG64qX7IyZfCRg4rWAhCRkkFFx+TIYZmgQa0plXMSML3iaxWB2lgS7F1MwFimXEUUoyXm02gAAbIayACbD4EjNQBAPpLG4CPTauPz5rk6yzzjqdfxP5m1kCPSiBDAbqL/y2wABd4g/d529UPZbRKYF0lE74keFj6FH0jKUQp0S65Hw4hkjPia3z/IteP5o9efL+9p2UvV98Wtn6dB8gUClMUPysokicOUyAefHozYfOjE1uWlri0UiARtIfxqGto+FCBBgFzyURPMmDw6WYkvmkokrkiZX1DPIJ0rO4BmaATmeD6Po8Oi6BToOB4q0cN5TkgpIqhgwYa0bZi2ZALXQvEHK10P1Mpqh4PSTrSAsUyeO3yFBGYvHpiGClx3v+uefC3vvsE3MHhg8/Lpx55lnRi3c9DIH7uC90LEQAOYqnASTuLY6mKBLkjSKDRHn9aDebU74CFOqaNq1FDzgAN5C3QklAiwxflF4eWQKNKIEMBur/1h5//PFoqPutvXb43i23LDTUmAB6SSiTzuBAOa1FF6G8GVMGFEMp4U/MXKa+6zGydCxWli5N3rK8qWIsna6T6+T7vktPlRMH0xO7Ls+aPuQYYRHobjrVHNH99KG8AaCC7sRS0ImcKwyA3Cvshp8BJkCD8KpQAl3MuHPS0PtF548+pncxwSmca16SAoGAoUOHxqRAwxHwvfbeK6y5xpox/ytdh3NnDo5xmlf5tET932zfvGJdwEAl0aRsUEZTFS5HCdMiEyN7+89vx8U+ZLd3El0sbkf4eOI2hGxUpw3ay0ewsdBc4mTFqobuYVNhDWy0lISIUrNg0FJyCiQ18ugdJ4Q2HZexAC1cGwllBp0Kg1hkNgvjD2B88pOfjDkNEPi3v31tWGmljEj75jbp+0+VwUD93jHdR79cffVVYfz4CeHd73lPmHTRRWHAgAHRa2WoeeLodXJ3XI8e421HBnXgwMiGyokCFnjYHCJOlHg5AOAsPlaVV89o8qoZaQYTE+taAAcwcsghnwsrrli9bgsdyOOmn9PRQvein7GqdLdaCUIO9CRnKcXlgQYhY4ne8gf8n6Fm4DlT9CfdLtmbzpRAnhIUOVP0KqMuebIYnnA8kuNFvx4/fHhYd731Ynhk9uyfhAsuGBcdzzToedenm1MJ5fq9zea5Uk1gQOyqWJe6LJ5UolK8PVFCFoVEF30JLCKfKQ5IE90ErUKXFhS6XZUrmwYYaKtRR/FavgsISK4p1vG2wdD3fo69QEdZfI4hmpMiFug5C9wigkYxHEILFl6i8vwtN8GcIV7JLPImIGWgQcGP9pJkmmdJ5SdtRAlkMFC/t0ZfOIZHvyTamzHnZDgFQC+J3zOACQS4O53pe/SZEKpkZmHMYva/z9NBPGqDPsMIyMD3OwyBJGcGnH6lk9s75eR7U6ZMDhdf/PVouJ3MMjC0whNyslyHXpSrUD6NADjQo6mwkjwCeV7pvsBJdPyGDIm6Pf3cUXAhBj/D3JaH68oFI0enCYRw//Pgg8Oqq622SG6aBEP6mg1gP/LonARqAgPoHxmf1ZL+LH4ePDqHZ9/Z4Tq1ZuTbLLx/Ga7oLX8kMlYbnekc1tZzmKvN295G66ws8veyBLpTAhkMdKe0Q9Rb4ts8eR5tJQerPV1YSV8ymsIHlXID2npCRdmEZLfZZuswatToRfQaPddewrdrd0R/J/CTyhu3J/1qcxDGkPuFdfAn6+P2JFn99zWBATEf1H1bi9NLUISnO/oIAAEoJMgVYwFhQrA5caTzCyF/s7klkMFA971/rKQQgFwpFH+lDP/um807d0rNlYQFzAkrUa430N1zas8Zw1gAUhxRORE5V2DJ3tBCMDB06NBW/2mEAU2ioiSlSDK0IFI97UaYf55jlkBvk4AYryRYMWi5MHl0nQTQ34CAsKOjgL3FmzUvBvamm26M2fk77TSwZqa266RV+cpCtEItwrNCDG0dX+zuuTXq/SRxCpe37Ljjjq1oq3Jsv7c+mMWg+p9EG8ksAEIeWQJZAh2XAApYrQz5PRi3fES24zLs6DfQ+HQWj7w3DXlaf/7z2+F3v/t9ZFprCQ/0xPwlbUsylO+Vdf+SvwGsv7wPyaEtyyyzTCt01ShgAJpOSTN5MSz5YshXaF4JUPiSd9HXdEBv8VSb94307JMnANDbgEpRKsXicT0rrb5xd/J0uoMeaFljjTVaZbtGMFDK/O8bj5ufIksgS6CSBFqWWipmYzshI3s9Uq5ZB+TFkiXQPBJoaYk5eE5utOy2226tjpU0CjPQPG8pP2mWQNdKgFfgeJYS3uW6711753z1LIEsgd4iATlDkkdbhgwZ0ur4YB5ZAlkCzScBVTiBAQmEvSG7vfneQH7iLIGelUBNRwt7dor57lkCWQJdLYF8tLCrJdz7ri/XSn5Ae/UMenLm9a4P05PP0tvv3S1gIFUjVGBDJS4VrlQBLA+FOMQt1BEwLFRHb/Kxkd6+jPL8Gl0CGQx03xtUjlg/AKXPHY3TYKdYJEjdFC3ji0Za+Fa5YX0MnP+nU5U81g1W4id9Sq+WqwNWeirXUmTIPTQbKtcTMLc//uEPYZNNN12kboyeLPoVqO3ipIE+A0oYtzV81vUkpzlK6dhquRaNQkmOWrq+irTk4brmqYotu6DyYa0VabvvTfatO3U5GHB2VaMNxxZlKlr0Xrb62hZiGhCg7oc6b6kuaOgn4MjT5ptv3qvRa99aEvlpmlECGQx0z1tnHDVhU8RNy13lhxX4If9kyNXvV2+/DAYco9ZXRWlgCZ/0Kh3JyOqrwmAqjV4syV7pqe6fPTtcNnVq7PSquU/ROEsiPfCzB4ZVPrpK7AibnDaF5xw7BUAc51PmXZ8XXQmr3U/NgjPOOCM2gWMHPK/+BcU2yQCAgkF6KQBJgImmR3JYlG5WHl4hJL0IdHBs79m65y32zbvUBAagQV56Z84f63OtiYbGHF6u2tkWktrV4pOppr/N4XOYgdRdS38CCyc1xeibryA/VZZAz0sgg4Gufwe8Y/qM3tNfQMVWBdO+9rWvxUY/yqmrnaKA2lprrrmwBn9qvU7/atyj0p6ia0q/a3LEi5b85Yz4RRddGHbddXDVh9EnAADQWfDII49cxNvGMFgH2rLrF6DrId2LqdW0jS7XN0GPAH0ANIFjqHWHLQ/NjzRY8px+j4WQnApUTJkyZWG7Y86e5kh0v+d0fZ8xD6AJUNFXRtMjjeXMuaOllrv+zfaNO9QEBqZNmxY9e20uNb/QXRB1315BCoUhxo4dG9Gll2voSa2PgMWhhLCjTMZ3v/vd+H8bwyJvL46l7VHL/72DSjWxyz/DPLhmec4+l2JnlZ4n1cROpyzSvPw89SM3jfbm2zeWS36KviqBDAa6/s0++OCD0SlijPV7MXjiPGyNheg/SZwoc3qTJ23Qo4whil07eN/Rshd4YJCFD3yH0fUeZYRXGlgJv1NHQqOjIiPAc/czoIRjBqjoPggMCO9qg7zjjjtG8MF717zO/RV/Y/DLHvsTTzwRAQSAwl64PhsCIKgay/AADJgMyaup/bskdgyAZ73iiiti46HU2EmzI0DC9/OovwRqAgPom5/+9Kexg5SXzLjrU62L1cc//vG4GCsNi1hHQoi2WDd62LBhkQaDPC3q3/72t5E+ssg1nbDobJBq8S8LS2eulFugNrUMaMgWrSQWZ3EKR5i7jYJxsPgtJHQbw28xzp07N/7OsADFweQ1oK+gaPG7DTfcMF5DzGrrrbeOGwC74f7ug91A0WVAUP8Fmq/YPRLIYKBr5cxx0KWQR45aHz16dLwhQ8c5AhQYS44QR6uYJyXmrmXxOeecE40yneRvY/z48VEnTZ8+PdL4Og9qNlQe6f4ML4MKkKThdzq2Mt5K+2rRzvsGDoABOlJ5YvNG6Ws1TD9iORhslSvZg+Lg3b/22msxjyHZB89h3n6GZaCbNRry3aQ76VT6dsUVV4zsg5CIQa8PO+KIsMWWW8ZQcs4fqP96rQkMpNtK9IAIvfw77rgjloNktPfcc89oRGsZXjZ0bIEpfyh0IG5mkaLIGFpgwwY56aSTKiYaotsgZ3Tbe5dZJpw9dmxcZBYXZGuB6gsOaFz2jW+EXy9YEBNeFFSwkKFyi+zCCy+MsSoxKiDnqaefCmecfkaM4V122WVxcwING260YbjjR3dE4GNDqIktkQdy9/2NNtooxtfyyBJoVAlkMNC1bw6TyNOm5xhcdH8aI0aMiL+jQ9D/5cEb54hhDuggOpQO0/6Xo0VXYhSwrBytSk4Ub5/x/uEPbw+PPTY/NvdJQ46W333s4x8Lw44YFlsNu0YCAxxBYV3XlrPAsWMLzjzzzKhvMcfASnuDA6Xlsu6CGAKj7EBx0IABjqaciOREcvB0VZw1a1YEThLL86ivBDoEBtKtLWyL4f77748LGOIbNGhQRI2SS9oajK7PopjEiywG6FjGqNCBCQkV8PJRYBJJeOrlATSgmICKe+65Z2HrZEj5jh/9KHxnxoyILKd/85vhpptvjoZbUSVKT7jDZho4cGD8c95550W0DdToDS6OJ0/C/MxHnArYeOXllyNldsWVV4Z77703PqtNPXv27Bjrai9sUt9Xl6+WJVA/CWQwUD9ZVruSxmrofnqCI4ShNDSHYcwZP8ayODhcnBreM52VjCfjePaYMWHylCkxXMlQ8+wr6UrX44ELEfieUG1xMOYzZ343TJp0ccw/cL8iGOCkcZhce+bMmTFngNHmcHGa5AJgdtsabAbggJXAClfLP3N94IZDV5QFeyPpXKgAo7zffvt1/Qtrsjt0CgxYfBaVRcLA8tDR72gsC6XaEDaAcjELaKIUEyt/Hgq2uKFgRvY//uM/FrukxYV2g7QZa0wBMHHiCSeEQw49NBp1CFRGa1qoAIRrS1B0/29cemnYeJNNYsIO1Gpxo9wsOM+IyvM53ZwS8wGdS3YR1zr22GPjtYQTAJxc073Jdk8fetwMBrr+ZdKZPGIsgBg5g8bpYCQxl4wyvVUcnA6OyM033xx1TBp0HS+d3nINVDx9xeBXaj2MfQVEnDzAkBp0qO9zzMaNuyBst9320SnDMAAFdJ1cBs4aBw0YMW/shSONmFOhAJ46b77aoEs5gTpjYkWESioN1zJHep+TWQw/Y4M5bdgQMjzttNO6/oU12R06BAYsCmECx1igXHEjCR4yTx0TbOuMqzi/BX39ddeF/zdq1CLHCivJ3IvndQMDDHSl4ZgLw2yhMfIWqO+InRmQpUSYQw45JMaYUoEN8wQAUGcSVrALEDdhyFdIYMCig+B9RjjDcE+KU5jEz/bbd99w2OGHL2Qmmmz95MftIxLIYKB7XqTMeJ40HSrXiEHGCPDG6TrGNw36FtvKk6aHAAaDl+zIHhCAqn/sscdi5j0d6ySAMGdxMMaOIgIKQpr0sCFX68ijjgxzHpkTdSRnRqjV/OQMMProf8f6OFJOgkkWpD/lX/m/+D9nqRIASXNwpJyjGFpawuhRo2I+QHn4jLAtBgO7m06Zpc8JjQAI2AHgxWfyqK8EagIDFizvFwuAEhd3d0ZV0pzYeS2FLnzPy7boLNb2vGjoVeYsGspirDRsFugU4hQyYPAhX3F9KFwyos0FIBSLY2ALLEhhAMU3ZLyi/Hn6EngSGHDel9EnpMR4QKgQLFm4LnCUjuHUIof6vr58tSyB+kggg4H6yLGWq9Ah6H+DsccI0Dkp0z9dQxIeT5q+9LkUhpz/+PwwdMjQcNxxx0XdZ/DiMQMcoOQMFedC/7o+B0ZIwqDH5GVJjk7H9YRn6US6VF4VJtcJMiPNm9415/ETxocLzr+g4tHCIqD5yle+EvWk+dGj5TwBhl5YAGARGq6UfwboSGwEgoSOySOP+kqgJjCA1ho9elTYcsut4oKS3AEQ1Bojlwl6/PDh4b+OPTYaaN+TtALRih1VqjAI4f7gtttiTKxStcIkhldeeSXSWlAy1GvBiK/x+o8++ujIYAAM7mtAnmmB20yQpr+hZNQ/cGMzQdPAAFBCSH4OFEHV2AZMiHtSonIWMBNAQR5ZAo0ogQwGuv+t8fgxm/KWxNLLzoTaAYy1hOVigTZGc489dg/jxo2Phpg+dRKLQyT0KqZeHvK6DjvssKjDMKEGHcfIFlvAY3t1rzUXAENRo7Lj5oQYJgOLysGrFu51bb+nQ7EeTiYAAkDOSy+9GDbb7J2ic+TAsWLg6fD0GaEQJ7yEC1KIGSNQa8Ji97/Rxr5ju2DAgkENQYwySoGAWkc6AsjYWrAWo+tBghanl4w+UmMAMBBDEy9SglIxi3giYNddw1ItqaLA4nd2vSmXTgknnnBi/L74m0xZ95BAiF1wbyAG6ICKHasBQpxqgLptOKDBkRXHESWwOEpjIROQyojCCtCz8IUYGdAh09V3/BtVttVWW9Uqmvy5LIFeJYEMBrr+dSTdxxESq0ft03cMXAoBpFnQnX5P1whTFgvt8Og5N3KpfMZ3JQUKa9JdleoMcJown3IHOGfVEg05UcCJXKhvf/vbCwu+mQ+D/Pj8+WHE/xYmwrjSfSmfS64BpwvLQKdjYrG6HC9sMJbBNYANbKs8L3PFsNK/n95mm7D9DjtEsOI+nptzxXawOa7vc044sEf0dB71lUC7YGBJbgetonW8WC/ZnzTEmND5YlKSQiBHCwhFhMK32C3KWs6TqhPAqDseI/Ew0VAQKPpNgqNFznj7nPCAuJvPm5v4FKQL8fL2LVJHV8TO0FsyaS1eqNUCBxKABQwBlO3nQEe55vaSyC5/N0ugOyWQwUDXS1vo0gmsJ594Isx//PGYdMdQCm2WB+ONMueEpFBA+gw9yvngIcvZQv0LfQIFkqbLwML3UPwcLEmH2E1HwisNsXtJfMAAkGJuwAsDTNfNmTsnrLP2OhFwYEvToGuBEQmPnCfPinXFuBaZB7qZvsVeyJ+gNxVDSkXc0vU8k6RwoWjDKS5MLxCDKemIU9r1b7Zv3KFLwUCqS2AhGqmKn38z8lAxw2/BWMziaBafsEAxkaY9UaPozzzrzHD1VVcvdpoBEk1NOdBZkKy/LT6L0R8LDFMAMFjE4lrm5LtpAAfmBpVbmNCrz1vYtTTsaO8Z8u+zBHpSAhkMdL306RYMKN3HYDN41Yyao3uSDCXoVTquzcvmbKHSsbZ0k+ulUu6VngYjIKeAk8WhqVQkjeGWH+Z3jD1Ggv4GBPyO7pRXVXZ8MLFCsJ4RgOHJm19Z7/s/RxCI8Vn6twwE0mc8T2IwnEBzckzCpDyKPOovgS4FAx2dbqWywtWuYTMAD/7mtW+y6SZhzFljqlYB7Mi1a513V1yz1nvnz2UJ1FMCGQzUU5rVr5XKm9dyt1r1S0c+hyXFHgjNqrdS6yiXY6/1e/X4HGZCyBiIwjQXq9nW4/r5Gu9IoFeBgY68lEmTLgrnnfdONSzswo033RhWXeVfx3I6cq382SyBZpcAr0s+DWOhtHcefVcCkhVVFVTRT6iivZNdPSkJ7KycrOJphJ6cT1++9yJgQFZnowzI1okD4QRFLMTt88gSyBLouARQwvJ3gAGFvGRw59F3JYCdcCJBmNMR8bZqBPS0FMxTaGXvvffuUOi4p+fdiPeXqCrJv2XddddtRbdXit/0xgczTzEnMSWJh8XkxN443zynLIHeKgFxYUlfYr6pSl1vnWue15JLAPhD+8sFcKKrNzdYk3cmr0KIwJyLeWdLLol8hSQBJ+7klCgj0NLS0tLam+mi/NqyBLIEuk4CxZbcvdk4dJ0E8pWzBJpbAoCWJNGWzTffvNWZ1eIxkOYWTX76LIHmkADPa9JFk8Ijcx6JNd8Vmg4rxNMAACAASURBVMkjSyBLoHkkgAhQ+0IdnZahQ4e2SiDII0sgS6D5JOAsu4p3EghzzkDzvf/8xFkCalfooNkyZMiQVgkEeWQJZAk0nwScJrj99ttj85l8mqD53n9+4iyBhj1amF9dlkCWQP0kkOsM1E+WjXilFC9GF3cmZyTlnOS8s0Z8++/MuenAgEXvFIJiRcVF7+cyVp1O8MfvVPZSCSydVHBqoTcfw0nL0LMpDypbOHVyTJW8PKcjRSqGlZ/f/21mMWTP2RmlUG0rqOgoM1iltEpV11Qs0z41ZTrrI1HsZ964W6wxZp7BQGO8p66YpYqqWCHHtPUDUDkQS2xP7rTTTmHzzTdfpCkdHaJd/DsNk/aI1RTVARBmUshovfXWq7mJXVc8T75m5yTQdGBAguRtt90WZs2aFRewhc3oMH7//Oc/wiqrrBo7hCnZqeCF+t+agDCSGht95jOfqalfQudex5J/i6HXzEP8x7MywPqSq+vtCNnf//a3cOttt8VOiy+++GK8odKiyiozxgCQ8qdbb711rF9eqfd4R2epgphz7Ho/MDrODJc7Xqp9rua4OuWAiv4RuXZERyXd+c9nMNB52TXyN+lAVf30WdH1kJ476qijwoc/8pGw/HLLxaQyHQWLoSP7WVlgn9U/QQlkuuN737slzJjx3XhWXf2CejoTjSzjRpl704GBxAwABBQglmCTTTaJi1sHLU08eNGMp987d6kUpqHxhuZGvdVjZUSBF/PU30HzJX3CgRuJYf/2b/8WwQ/AIDasSQjmQy3x8y84P7z15luxkJMOjtD+8OOHh+HHDY91HJZk8DzUWHcvoEDGarELm2u//vrrsWGV6mgYDZ6K+efRPRLIYKB75Nyb7oKtY8wxiePGjYusnQZC2iqrO8HIcyQ0bvva1762cOoKU+loaL+mroV+CSToXHjJJZdEPcShyKNxJNB0YCC9Gi2UNbyAjLEABKHogsJLc+bMid6xroX6H9gMQgW9HQzwqqF71RltxIsvvjg+E9pO2dEiUueJH3TQQZESHDRoUPwOEMQTGDJkSGzUxBvgrW+88cZLtKIBEN3SXFuimo6PZa8BkJk8eXIYNWpUpCdVw9MtMo/ukUAGA90j595yF/qMozB69Ohw5513Rh3hZzoP6vQ66557wrLLLReZ0HU+sU64/Qe3x6lrYjR48ODYvliIoLyPAQKhhY9+5CPhm9Ont9k4qbfIIs/jHQk0LRiYP39+BAPaH1u8M2fOjAYQRabfNi/6oosuCmLXlcCARa9jmC6GPF6f04nL32mDoNx9xj382/ltHb9S/N41UPV+j22AsqHzakk4EHy6nu8CLP369QvLL798RPfaMev5re44Q65lKcNbKUavC5jnAgaAoRkzZkQGAKDQNvS5556L7AAvQBzRSKyCeKFnxj6k+zPmrvXcL38Z3v2e90Q5mNdHP/rReK1//OPv4c9//kvsVCkkQUaoRcrFM5G30A0PBAArggHhDtcG3EJoDWuvvU6Mb6bObSnXQEjDHF2TjLERfpbeh5AJWeuU9q6llw5rrLlmpEexFL4HhOhwicnwPd/nHTUD3ZnBQGOaBHqAY6Nz6/vet3yM2d90081xr2gDr2V7pf0vp+i4446Le9DeT10I6QxOj+sJne61115h2223jU4BRlHpd3rs3HPPrZoXcPbZZ4dpl08Ll065NLJ7zbB/GnP1LDrrDAZeeCEaQwkz2igPGzYsGlMGywZAWZfBAMN+2WWXRePFKOlRDhQ4oymMwAD6jF4Pl156aTSq6msz8s5z/+d//meMi6Pa0GnaJzNSvscz1hK5vIFcT4KOph0MF0P81FNPxbkde+yxMTdA0Sg0H1DDiO23334R+WvJXB5FMJCYAZv/gQceiCAJKABOXG+zzTaL93S/CRMmxGfxO//3LLqgUUgoR/OmLORZABHk4Rkvv/zymGtx+OGHRxlQYn5OPmTM8Orh/sQTT0TZJTDAW7FIsRzAxe/feCO8+13vimGdDTbYINKSQhvmt/baa0cFJszBwGN53EvbVQDDHISCyEMYwj3FS+VGCBfxiNzXdbEYQKL5Wwt9fWQw0JhvmN5gwOkjQHvrrbcKyyzz3oD5o2OmT58eEwDLwz63d/fYY/cwYcLEhb+eO2dO2GfffePesW8wevY8NsA9Zs/+SbjooknRaak27CHhBXuPTqjWprkxJd53Z53BwAsvREqdRyrxDnXGUImbnXPOOdHgM/LFMAFjI5mQ0WNAeMpyDBgNxmno0KHRONpsPFTXnDZ1arhg3LiI3AEPzITr6hnOSEHiI0eOjNcZO3bsYv3CGV6JOYzllVdeGVmIESNGhEcffTSi9MMOOzQa6RNPPCkw9JLvxO7kQ7THDGAPUPSQP6PLU/Ad15dXAFhgAhhgCuErX/lKDC34vXnJvwB8Tj/99AhMGFBAinEnQ99VyIYXcuqpp8bvU0aeX66Aa6IpfdaCpMQSGBCy2X///eMOnDbt8vDSSy9G9kaCku89/9zzYdDOg6JXz7i7PtAkJ8I9KcOUM8GrAVBQnO4tG5p3RJn6nO96r5IXzdF70/f9kEMO6fPeTQYDjankAWmsGQaAgWa8ORP2MGPs//ZLcQDOQPERRxwR17yqk2lg2+xBCchAOUeATqJbXOukk06OgGPevHnRCVpjjTWivis6LxyBHXbYIQIIzguWMI/eL4EMBl54IRo73jkQsPrqq8dmLfvuu2+k7sXSy2BAjA19ZiMwemhnSJg3Cgzw1hlGBoVx8TMb59RTR8aNJFmH4QckbDSJOECHfwsjMITlDTR+/Pj4HfdkeM1TMh4jBmAIbWAEeN6ABaof8wBsVBpFZsC9VlpppUiPv/322zFcwNvGEKSjlMALo+xZGVteCEUiMZHBRM0Lq6AbPQdF5GeAFgVjHk5neAZykURICfHm77rrrsh0lHMGAA6UJbDDoMtqFlbZc889o+Ije99zD4CD0iNbSYg8EiEA8gEAfAcIw5RgA7wTMmUEAT8swEMPPRQBj9aulJjPAnSugdXoyyODgcZ9u1jBbbbZJub2ALZCXPQJnST5WeiwOITdgH6/s18A4jJYoAc4QJwZoMCeADI4AE4F2eP2LlBAX9pvKbwpBMEJ8Yej0wzMWuOunn/NPIOBF16IcXV0OMNS9qIrgQHiu+POOyK1v+DXCyKSFlpIYIABYXz8XAKOREQU9xtvvBmWXfa9cYPtuOOOccPy8NHUvHJd4xgwHq/wQ3EwWAw0DxoYEHqwyRlIwAAYWGGFFSLaT2DASYhKIQLXLYIBhlB4RIiCsQUAGHibPJ2cYLA9E8DEKycr812wYEE0pvIXsALodoOnwuBTIECAeRTBAJaDXDbffIvw/e9/LyowYIABTgmE6E3Kx+eAFQmFFBlg4vPCIu5LEQoDUFC8ftehnDA3V199dTwtIe6JrZHAyMMx3njjjZirQHkBDPIFfBaQ8m9xV2sDuMhgoC+ou775DAkMCG+lPKd7750V9t+/MhjAvGFCMZD2uf1bbdhvgDMHyN6ia+g3ToF9CUwAy44qp0TjN994I2y08cZRV/kdXZFH75dABgP/lzNAEJXo9EpgwBl5NBujzcgzHrxNVJmNY7MwmAw0Yyg+bRMVB0/3kUceiaCA0eSNQ9aMLyNWPnrHWDP8qG9gQDwvMQP+bbNC4J0BA5J8ePi8hZTAJyeAEQRUPK9QADCAYuTZO3HAQHpm9/c3IywHQEKg32FFGF5sQZkZkInsmptuulm47bZbIxNSBgOUC4DhuCcmguLC4JCNOVEywEsCA4kZKIMBMsOeCGmocSAcVJSvnwMa6FaxUl6y9+Ae3i9g1teToDIz0PuVdbUZAgNAq6ThMhhwOoCeKDMDHAvsnZAY4Fxt3HvvvZEBpKNQ/8A+4EyfcTawc9g+IbUUznvl5ZfDZv37R90hVAnI59H7JdC0YKB4tDCdJqD4y6MIBtDaNpBYszgyw8j48fTFxxhABtuRPUf8AAOG0N9CDQZP2n0ABnE9TAD6GqrndfN6xb55+cXBC7ZxZe97aWhyCpznC3Dw3NF6wIAwQ0fCBBIoPaekQZ64+TCEjL/kIXOcPXt2NKTm7/kgfgaVMRb3913eOo/BXMmXcjI/QEB4AzNA8cgN4MW7xsc+tnqYNeveqFwoDsyA3ALsBiN/8kknhcumTo2AA3V/4IEHRsPs+hgMMVNhgmrMACVFKXlG7w2o8KyABnlJ/AQCgTKyp/CALfKn+BzN3HLLLft8RbUMBnq/sm4LDNgD8oQAZsCaET/ggP3DF7+4eJiA3gLEMX+SfzEElYa9LYRAt/kc/SYcJ3zHwAtD0ncYxSIYwJIC1/SEEF9ZlzWupPv2zJsaDEh8seB5jYxPOl5TfOVFMCAPAEpmsCxyFLPcAddAkzGONgZDJ662z777hD+89Yd4SkBeAKODLbD5sAUMt43JAPHIH33s0XDfvfdFA1zO1pVI53SAvAAxe6AAW8BwQ/8MLMNmg2MJUOyOBTLClYYwAcMqyY+xdE3zk4XMa2cIyUMM3TOj0nnNPufnZMHAMtDAVAIEGBIGlDJINCFDj+2gSFICIW9ffgNjzpvxbFgAhhg1ae5+duUVV4Sjjzkm5h14JrJjxH3HvbyDrbbaaiEYQFteMvmS8MUvfDF69JItzdP3gCnXdh3vEHDBCqA/gSDADtA4+pijw7H/dWwsvIJS9d2+XnM9g4HGVPT2goQ9YBbbyOO37nns3qlwnDyCMtMoEdnvOCHi+uXBMaGzhEL9vlgx9IQTTwizfzI7An0soWRDIU9OicHJwdJhE9yjr++dxlw5i8+66cCAzePY2LXXfitcddXVCyXCmELAjGeihHnBFrvYGCPCQ0R7v/D889FASbJBVUu0swF4xwwgA7n22v3COed8JW5KHrHNxCDaoDYKT5aXrL4Bmg8t7bsMFuNaLtfrXo7iXXThhTEex+uGxgEZiXDYBsAFqABOeOkShKDzYgVBz68eASPJ4Bqe19lg4IjnzEM3D4aQ981QiivyNhhg8XTy4IEAQ+edf16YNnVa+OrXvhoTL5dbdrmoKDwrBoX8yNegfHgvAAIQI9zC0GNDfv+734cFv1kQZQEgmQOZSSLkhZATpSYcAnRhKoRqADNzpQwxN4w78OS5ABjP5l0CIsBYUd7ADuBCOToFYW1QhEAGZoI8hSb6+shgoDHfMGMNAAO29s1GG28Utv30ttFjp3ewlvKWJBMWdYq8nNGjR4Uf/vBH0ZCXk/zsA3rMaaJyS2tOh59zGOg8zg9gn/qKAAsPPvBgnEMCCI0p3eaadVOCAXSxzZNG6k8g+1WGbAIDvGGnAGwcw2YCCBgyTIDfW+zoOTS6hDOGg1FCqUkK5IHzlH1XchovNmXoy97niUvEs2kZH3Moo/g0T/T5gw88ED2BP/3P/8S5SozDPAALrsVDT0OSIfqQYUuDEbf53bv4/Lx988M4MJYYANckG/LAFvgMI+s4IyXg5APKEIuRfi7z2HMz7rwV3xXCcK00yMxzyi3wLhzNJDfzBWSEBIQmJFcCMimhMPWS8F1ggTy8H3MxUo8F79a8DXIF1shUTgAZuR8gQzYqM3pXQJI6E04UuA+Zmr959fV8AXLKYKAxFb91Cwhbw8XOg37OI0/dBCvpFGsdWP78548Jw4cfv3Cduw7GMDk35fLrfg9cA9D2UbGHiL1FV2AtU+5NY0q2+WbddGCgJ14xA8mgVDPyqHIbt9aMdZufUa8U1uiO56NgePOURDKUfubfSTl1ZG6e3+fTNaoZ39RpslY5VZMFz9+7qERfUnTmkxIIu0OeveEeGQz0hrfQvXOwnyQOYzsnTpwQtt9+hyUCvkC48BtnB6Oa6wt07/tc0rtlMLCkEszfzxLoAxLIYKAPvMROPAIAjim88sorwhFHDIunEjoT48c0fu3cc8Nyyy4bw3JLCtg78Sj5K0sogYVgYOedd24V280jSyBLoLkkgImRlyGcI1ms2ImuuSTRnE+LDXvt1VfDH/74xxgm7AwY+M2CBeHFl16K+QUdYQWbU+K986klnjs10rLKKqu0isNCinlkCWQJNI8EeHESxiSGyUFJra6bRwL5SYs5B52RhpwoIEIIM+XrdOY6+Ts9IwHvT56IMvEtH/zgB1slgmQw0DMvI981S6CnJCB/wlFY2eFOqaSumj01n3zfLIEsge6VADDg2Lqk0JbBgwe3OpqWR5ZAlkDzSeDkU04Od/zojlhVrnyUrPmkkZ84S6D5JKBehNo3LUOHDm2VQJBHlkCWQPNJQMlahbBkl2MH8sgSyBJoLgkoYBc7tA4ZMqTVf/LIEsgSaD4J5NMEzffO8xNnCRQl0LBHC53dF+fIR1jygs4SWHIJZDCw5DJstCtI9pP015uLaqmn0pnTDY32LnrDfGsCAyqyPffcc7GYBAOsWIUXpAGF8rXFcrdd/VCSHFT1+/73vheOGDYsVpHLI0sgS2DJJJDBwJLJr7Pf1tTn2WefjSWDi43StNdW/luVUxU3N9tss6q3YDBVRPV9n6tW3CxdQLZ/qrapWqDTI6qBKlNOt8sZUTa82vB9lQZVVlU6vVKDt+K9HFlzP0WIBg0aGD70oQ9Xvbbqpw8//NPwi188E+dADiqQ7rPPPp0Vcf5ejRKoCQzINHb++MYbb4ylai0Wte8VmgAKdODT9EYZ2a4cys9qHqPKlXlMmzo17LX33l15y3ztLIGmkEAGA937mhlUZcUPPvjgmMWtrDbHyvBzfTk4Xwz7nXfdGY4cdmTsIFipqp8ma5896KBw0Gc/G5sLtdUlEBtw6/e/H66+5prYt0Qrcrki6kw4Wkqvvv/97w8nnXRS7EdS6Vo+d8SwI8Lvfvu7aBOUDq80OJGeA9BwbF0fBbYkNTkr90rQpEwvl5VW+mDYbLP+sWeIky2eSc8YPRD0gsmjayRQExhwa6UmdaCC8DSX0UDmscceix3d1Kq3eDSe0fmuqwYErMGPxXTNNdeEb15+edhjzz276nb5ulkCTSOBDAa691UDAJpkaW+uxweDrOeJn/PWdR7UmZODpVmWboSMIgNe9Px13dQeXfvt448/Pl6zGlMLgAAOnClNzNyHgXZNlQfVmODta1Qm/DplypSw2267LRJGUKobcPj6178ee5lcd9110RaUhzCuhmT+3H333bHHh2fT0Ag4UOCKQ2lw8iZdPClcf931Yf/99499DYpGn+3RREwjN83GupOJ7t5V0bN3qxkMoGu8pHnz5sWXC6lBmRasxaGpjM59etd39VDuUltObMWeGQx0tbjz9ZtAAhkMdN9LVsuFB6xjqWJPvF9UOjDAuMro1omTg2W89tqr0bPeYIMNo6FOHQYZV59huCV/Y2jHjBlT1VjqNuraqXOoSoGOkmpYxIMXLtC3Q9dPwOP0008LJ510cuzTkcb06dMjSPCz1Gq8EhjQrlxXVq3KH3nkkcgeCEFgN8yVHUnPofMonQ4ojBw5cjE2grzIyhy1RcYY5FF/CXQKDGgDC80aFqcX6P9oHi9YZzghhNQZTkzphz/8YfTqLXgoFJCAZsWphBhMxOLSwx59xPNHl0HIEGwxhoWNmDBhQgYD9V8P+YpNKoEMBrrvxb/wwvPhsMMOj16u1t66A3Kw6MbTTjstAgHODsNpMNBi5jqSAgu6ldKVkydPjnoVuyCvgFdNN1bznLELWg8zrFqfG3ISfD51UvUzvQq0Iteu3BxSAt/cuXNj+3UGWbgWI6wNeiUwQL9ffPHF8Xm0hmfwdQ3lvOkiSn/T87989tmw+RZbRK8fQOJkltu3m5OcNfdmX3wuJ47Xf712CgxYgGgcSSRetkQXFJXFIzNVgh8aSj9t3ruWvow71Kruud70el3rlw0gSJ5BG7mm71lEqCOLG4pEZfm+Fr9GBgP1Xwj5is0tgQwGuuf9J4ZVtVe1HXi5Kj8mMEC3ofoZbX8LCaDmDz300Ohh052SBDlRjDL6fMMNNgj91l475h9UAwOAxIgRI8IDD9wfnnzy520m/fH+3ZsBT1440EC/M/xADJAgRFENDJCm36t1Lx9Cq3PPwpjraLjSSivFssXuY85aw2+//fYBewEUHXDAAYskQ2IazB+QwWQIO+RRXwl0GAww/Mcee2xEqxakhSoJRbKJHvBpiOtrfMToQ6F63FvQElSgSihRLMy/LXy94wEDKBnTYIFYcFdedWUYftzwhXGuDAbquwDy1bIESCCDga5fB3Tf+PHjAw9bzJ1HPmDAgJgxzxvHgsodwAJgQn3G3xLx6E4OEuO7yiqrhFGjRkWDyNiKzwvTJjBQKbufYUbD//nPb4e5c+dVfVg6mCH+0Ic+FL13RpuXT487+QAQyGOgm+WPVcsZSDdgI/bea6/w6muvRSAhxMD5Mxj4vffeO9x3333xb/kJHD9sM/Zj3LhxYYsttohMAdm5t7D0tGnTYp5EHvWVQIfBgBAAZKd0ofLFw4cPj7GclAySpof+gjAtIokp0C+ax98AgHiVXAOAwTV1y4IUJZf4/+abbx43wRVXXBEXnOREiyGDgfougHy1LIEMBrp+DYh7U7aMmZg84+3IHAMIDPzgBz8Ia621VjTsHKkrr7wyGsSNN944/Pr1X4fbfnBbPEat1fA113wrzJkzJzpMgIHv+xwmlS5mrMtUO0MuAdyJhdtuu63qA1966aVh4sQJ8R4SBA3gBfjA/spdEPs/4YQTIhgwT/OudJwReJFA6LkBAewvZgDIcSQRCyBswDFkT7ADnt8zACJ0PqZYUrqfkxu7cvLJJ8ccgzzqK4EOgwFxImEAzIAXKYnF8ZLyeX8LlSFvCwzIavVd6BEqTgOKRR9Z5GJIYkSSUTIYqO/Lz1fLEkgSyMxA164FepIx1RVOfB+jyuNO7Cojy8vnNXOK5GVhYSXe8aA5YAyw2vHi68AEIyx3gKH0WWFWnrTwQcrp8lSuJwxx5JFHRuqdzq00fAYVP3nyJWHbbbdbeIpA0iGwAhyk7oZOkgEzQAhG4phjjlnkkuZ19dVXxzCG0IZnZhMwA2uutWa46867og3xvClnYv3114/XePzxxyMwcMoBkyKx0fUAFQABqAGq8qivBDoMBmSBWqgWKa8exW9RWmDFRJIyGGDYLUbhAhmmmIEEBmwQ37Vo0WUWlkV9/vnnx3OpklnE1zIYqO/Lz1fLEshgoHvWAP3HS3ZqgGctt+rvf/tbeOLJJyMoYFQBMt590cvGpKLQ6U2GlGcvJOt62AbXAQY4aSh9QEGsH6tQHECHMAEmgYdeHPQuvY6Wx1Q4lWCYl+vzxun81J44FR1yX4yu6wIqxcHAAz+uS4e7jvoEwgtyzrC9gwYODJ/ZffeYAwBsJIcSUyA/jLMplCycQmbkx0mUp8bu5FFfCXQYDKCMLGjI0wL1ciA2MRzoNZ0PZcihN5muu+yyS3jmmWdimMCiUKcA9SNMYFGgsCzSt99+Oxp8L10oQS6CGBlwYLFJXHEMxwJxbcmJThrkkSWQJbBkEsjMwJLJr71vM6D0GwOayv+i0XnGEq3R5I5lc5LSYPDpOjqUc4UVABR45AkI+Oxbb74ZNuvfPwIJOpUOLocJ1A9gtMXeefXFwRN3giF5+eYAhND1wrWofUxGmrd/o+olkGN+OYO+w9ibG9vg+8DAz3/+ZKwomAAOW4EtYAMkJ7pvOjKIGcE8mI8TCKNHjQpHHX10/G7RNmAaAKQ86iuBmsAAisYxQJ69BTBt2uVhr732jC9OKU20DWQKUUKtup6JSwEIskhlicqEhS4tUsYdBeQsqxfrSKIYEvQHhaK5JNZAikISSm2iqFKlQ6gQu3D+eefFksTtld+sr8jy1bIE+p4EMhjo/nf6xz/8IerG3/7udzFPSha9ATi88sorMZEOSFBLQFJhtSODb/z+92Gtf//3WEOAQ1bpc04DeMf0KV2eKhlyxCSES9wTQvBdQMPnfYbTVa4dg95nuIVzdblMxZKcFpMMKKwrjAEoyH/gMLIRQI/kcHlhnLyVV1453se8JS66F2DxxS9+ISxY8JuYN5DCHX5v/uzK7NmzFwmDdP+b65t3rAkMWJAMNPoGMJBpyiMXx4cIH3zwgXhuFuq0MND/aglAgF66M6wWhJeIMpIZC1QICYiHYQUYeLQQVGhxWrCQqkUHHdsgEkhefPHFePTQ99zL93bdddfczKJvrs/8VN0kgQwGuknQhdtgBsTbGUnFf+hBzpWkPNQ5D58O5Vy11UzozTfeCIN23jme38eeFmsGpNsx8MIH9CVj7bN0qP9zxlLPGXrWwMAmRrZ8PewGqt5c6WKnyNIpMHkHvP6UF+FZUsKk79HZ2ABAIA0VBjG/AAkAItzB3qTyzD7H9mCWhSUkIPbm5krdv5Lqc8eawACP3Z9UiSrFjiyY4mKz4HwOY5CoHS/ay5UEAu06deDfiXZKizB9x/VsEjQT0JEoK79XJzt9TyGM1DApMwP1WQz5Ks0rgQwGeubd05kMMD3IwEk0ZGQZWEnVtRbX4aT5fqWCPenJGFSMLE8fMBCqpcurfSfNqZJk0ryLHQWFjenucq8CoQNFg+h9YKBSF0JsAzCw3LLLhtU/9rFFjD35YAQ4lIAFNiWP+kugJjBQ/9vmK2YJZAn0JglkMNCb3kbXzYXnjm3AIEjMLuYodN1dl+zKWGRsguRIrHHRCV2yK+dvFyWwEAwMHTq01X/yyBLIEmg+CYhLy+gWA0ZL59E3JcCjF4K44Ybrw8CBg2ISX29mVtUiEDJQuVYCZKWujX3zTXX/U0kHkOfXMmDAgFbxHXRTHlkCWQLNIwHeofPbkr9ke6tsl2LHzSOF5nlSoQch27lz5oRPb7ttr+0CaA06Bin8IS8shaeb501135MKCZG13I2WZZddtlWMHnLMI0sgS6B5JMA4SAATt6UDUmGZ5pFAcz0p47r0UkuHpd/1Tt5Vb9b5WAvr0dHCPLpOAtaE/S9n3qpT4wAAIABJREFUpaVfv36tzqlmZqDrBJ6vnCXQGyUgMViClvLfjrApZ5uZgd74puo7Jwagt7/nRphjfd9Kz1wtdpD85S/jyZKWwYMHtzoS0tsXR8+IKt81S6DvSoAikFD2ox/9KFYVlaiVR5ZAlkDzSADokjOksFXLkCFDWrULziNLIEug+SQgVqhMbE4gbL53n584S4AE8tHCvA6yBLIEcgvjvAayBJpcAjWBAYUkJJmkAhjyClCLznuiFyShqD4o2UOYQdanspaViksoGqT4haJCKgz25mMtntmzi6lWOo/r96qHqazlyEsqylRcU2TlWX3WZ2p9XvJUglOhpUoVxcjZ7yXWVLu3e6pvbn4KP9V67ybfE035+LnOQM+8dvrFXpenUdSX9IYKgX/9y1/Cv73//Yudradj6d1Ko5Zz+O6pFLDCRvSW69En9Mryyy9ftf6AzxX7K7i/4kVtVQT0eTrQvOizap+VwOazihMZ5vLqq69Gu6M/Qh5dK4GawIDkIs2JVJIyLBaNJPQTsIAZd8cS1Zz2/9TJSrXB4tDIYvr06bGvgEXoO+nFd+1jdvzqNoYYqoQKJZG11CwOG/H222+P5Zb92zlY5TuLrZhtdLSr85vAhGvor9DeWVmlmCdNmrSwVPNxxx0b1lnnE4vcX41xtb9TxS+tR4vlO20qYR95IOb3yU9+MpbzVNksjyyBsgQyGOj+NQHI6yWgRLs+BMngAQL0inLtjOgHPviBcPzw4xfWf/D7a665JvYzKBpWxhOo0NSokiOWnpADowIhJ0NpeAZeR0S9Y+gKemrYsGFh3XXXXUzn0d/qFLi++9H1alRUczTofI3nNKqj91RAZDeKg9NCBvrUeB49DtLQmjk1q9twww27/yU10R1rAgMQqhbFehEY6lHrtpUaYrT+85/hkTlzYpth9bR1LNRwoowALQxdCtW1ZpwkLLz//e/vFeJ++umnYz+EgQMHRqR+1plnhhtvuil63jNnzowNl4pDfFU7Tn98R4cuiVf6KNiQNtW0adNi+Ux/yOpLX/pS2GuvvaIcK7EIrq/5h7rh5KMDmWYdjz46L8yceUuUqaGbmOphejkAF5p/ABtXXHHFwq6RZOt9AAkaPgE0mj1RPuaXR5ZAUQIZDHT/euAUqajHaUpt4c2CYeYM6OanUY9CMPSkLq10zOuvvx6LBenjUh5K9TovXq3EMMOvmRy9Ri9xXugGhti9lELm9O2www6xW2JqFOQ+2hE7beLUSRp0j+qAlQbmQUKaCoIcP84VB0aSatG5IgcARrM73QjZmjQABR1s2Rx2RWv7PLpGAjWBAbf2YocOHRoXGY+z2GjC73moOg6uscYasbthtZraWASG1eK2OHoKDPCcPZMFyHu20AfsNCAa6vct/75YS1tDD5tyxowZi4AB4Ejfb0hXkZbVVlstfPe7341xVyhYEyfHNA444IBYR9tmAYwY9m984xuRbVh//fUXe6PYCI1DoH79xyFz84KkbSpdHm1igAKwAlIUiOEh+BnwMHz48LiZMTfqgGvqAaDZUNqO8kC0hs6NPrpmQzXqVTMY6N4398QTT8S9TgcyuJwL+1WrYQaPgbbfeeB+99nPfjY6HBwKbCNv2X5mzO1lRYS0f3c83LusNIRoAYDrb7ghzPjOd6JzwfMecfyIcMG4C2LXQnqLA8FTHzduXKz6Zw70Dj2GVaCLUqjA3CsxnZwhupHjxykCIoAYTiRmmU5NzDFGmZ4bNWpU1GdFMOA5zNuzcdh0NkzdHbv3jfX9u3UIDPBYLQxGqBIYsHiBAYsFGOBhM1oaVyhm4KVCpoylBWGRM4CMK4pbPCkNVBjgoPmFUIJrFOP2CxYsiEUSbAZxJYu0fI1Kr+9//vSn8MSTT0YDqouiOdoEuizahAmcQKQWs83HkBaZAc+P7pKBjdLyrGgw3rr+31Ds1VdfHTf7+PHjY4tOchNuQdWj4M4+++zFpmdDaPWJLgQYxOKALGAgsTM2jo0FmAEN7u13O+64YzT6wIa2pBgD9zd/cjM/IIBHAZQ0Qk3yvr/9es8TZjDQfe+C3tJ0h0EVamQ4efOMHN3ByE+cODGyjsbbb/9P2H77HaIe5GH/7Gc/i59NDgW6XkiB4WXsyyHN9GRCi/QCveUeBgZRXhGwkQbPHXug+6zPCQHMmTMnOhpYUHoEc1kOAxclSCebP6cG8PFZup+zRa/q0sgOpIE94EQqelUGAz7jOgDS0UcfHdmU7MzUf73WFQygoHXEAgYYWwgWpSQuhXICALxQZ5otMEYRRaT6GWMs9qQPNiBgwVjgoSWE3/7mt2GbbbaJi9jvLBaImkeO+oYydUdkJC3ASjQ4ZHv//fdHRPzQww/HjWRh9+/fP4KIctJNmoMyrUUwACTYJBgD4AeKNqBeG41XboP7uaYgnnuXXXaJi1esjWzIyHOXDTKGwiZElaEKfccGsgEACTQhdMzA8xJsfIMysLHImrIACGw2vydjbA4QoV2q8ITn6a25GvVf4vmKtUggg4FapFSfzwjnYRI5BAwgR4muYOCxezxw9fjpw+QZ27tYA3S+UEGReaWr7HX6BfPHKSgPTg8qnj6im3ngBmeDLi6GLekaTolrcmRcn0cOwPisZGTlgYUh5QxUGo899ljUdUbKMfBvYEejJJ4+JiAN4Qm6qhoYoF/pQQyI/LWeYpTrswJ651XqDgZQT6glsSELEw2/0UYbxV7dWAALXDhBvGuDDTaIVDjEyliJjfFaeewodqCBkhI7Y+QYYMZ78uTJ8d8WxLbbbhu9XcBDC0xGFIVfRo5ACMTruhC0jddWi85qYACq590THPTuWQ1MhcUv5v/AAw+EAw88MBpnoQYxe8MGsckACjFCCz8NBp2x97xAD2CVDL24nN/JR7BpyIhMAJU0MBXui5HwXf8mf/MwbCbzw7bwBgCpPLIEkgQyGOietUDvYfU4OxwgrB/PPIEBe5veoycYYLlGGFW6Ua4QkI99LA6ODlZSSJJ+rcT6CXvSWy+++EJ4+uln2vSsgRGsI53rxFdK8HN//Ss4LQAMB4S+LYMPuoxOp2+EEThHSR9LQDQPzowwREp0bA8MAC30oMTHe+65J8ouj/pKoO5gIDEDPFpGX9IHNMpYWfTofPFtRtWiQjdJ3GO0fMdiYbgYNMjZSxcf42n7P1QJVMjeh0qBjrXXXjtm7EPPPoNGKucsmAPDjIIHHiTIACjVjrpUAwMWJbRsQQIlydgCA5Atgw95H3LI58Jrr70eN1TavJ7TJreRbJZi32/349En1IziT2AAteZ3vAbG3H2FHxIr4XPka6PyOs4//7wwZ87cuHEkGSYwYH4oRsi6GqKv7/LKV2sUCWQw0PVvCnXOm+YE2ctYxAEDBkS9SJ8A6Ch1+T4GXYYRRaEznhhPzEB579rTnJwJEyeEXXbepeKDACEcFwwAZ6vakDMweLfB4fBDDw9f+OIXKuZ+CUOaP6aVHsJuFAcwQMcw+kKwmMg0EhigizhT6dh0e2CAvcBsABBsQ2JNuv6tNc8dagYDjB0k6EX7UqWcAYuXYbboEhiAHC0aPzd47zx3RtiCSScSUN8STRht8flfPPNMePmVVyJQsHiFBcTnoWbHbTbZZJPIEjB4ElgsUHS8RcpIlo+6MLbP/fKXcdPNvv/+mGcAiEDTYmxldFsNDIjzYRkAGZ43I2xIRhQOsXHFtwAGCxwYSDE8cTeygbTFCItnZ8nVZ80dAsZeGOZBEVACEPuLL74YKUT/Lm6IfffZJ57owAzYoKkDndCJ4XnNyd+Qek7CaZ5NXsuTZjBQi5Q6/xnGDJspxInV473z6MXk5fxgAegJgIB+9X+OEx3F+fEz+pfOKTKKZoRy54BwjIoORnG2dCjdIzwqrFpp0PFfHv3l8Ic/vhUmTryw6tl+usr1OF3yrOjs8vB7zADmV0gkDU6NUG5HmQF5FSlUQf9yMvOorwRqBgPi+mLZFi7DXC4CYcGKpfOCxc4ZTcwAOowXLBcggQEJKBAhqjzFfrxoxt5igZZR4k8++UQ49JBDw+/ffCOc8N8nhDFnjQmnjnwHDMgVQGFZiGJYc+Y8EgYN2rkqGEhiY1x55mLv6HLxLMBFFi7GQJgDdVUNDNgINjODa0GK8RtiWViCVH8g1Xq3QSX3ockYaCg6ZcyW8xQkDapV4DpQs4EixHjY7EIF6D7sAcCQkhDNVQwPowJQYAf8IdPYn7qlJYKI/fbbL+YKQOo55lbfjdToV8tgoGvfIP3JCNI5dKc9S5dIsPZvidd0Bv1A/9ivvkNH0KFoe/rU74uODsBg72M6ecyV6gu4D93DOAMD9Ex5YDyBFc4XvVasl1JJMnSohMJ0pLn8GWyF+2EinFhIRx05MaeffnqHcwZSLQR5BuTIPuRRXwnUDAZk9TPyXrJTAOWCFGlxyEpNYYCOgAGGLRmxe2bdE8aPGx/pcEaaJ8vDrQcYKIqPhy5XweZgOD/1qU/FBBeFeaqBAd+/8447wmd23z3G9lFXQhJoOHPEagAK0DfkjNYSGrBJU4Kg7wFO5eE4D3YBWyLsQREAWag28yF38xVzpADUbHBdrMR2220XARcw5To+I7wgr8CpBLkMQBagYUNWq3NQ3+WVr9YoEshgoGvfFOdICJGRT/FzSX28euECeoTTIMZerBEgTo+9FC7FnJZzfbCr9C19QQdUG66TdAumtjjoFrkIjIGkwcQapg62lQAGh4x+w84CMeVBJ/H+JYFLfMTekoGfyd2iCzlfabQXJuAU0VtAAP2KHcijvhKoGQygtGTPexHiXhZAOgrIYDluZ0GhsMXE0GLAALSJMkrHYCTVCRNAlIw8lAwBM6TQsevzjqFJ37VBbAL3prB44mJn7mEhFpmBAQN2ika2rYpY1cRnDuLxDKpTDzaCEIfYvcx/IYg0bGIsic8IUziNwCPHbJgzQ8xo88RVzfJMNjjkzitHFcoIZqAffvjh+BksBxkLc6STFEIhEL24v40nmxfzkDKLXYtcvcR0XJF8bDoy9hyuBeWTExmqO1ApwbK+yypfrdEkkMFA978xBo4BlzNARxZDrzxhRpQuY1jpmXLBHZ8RTuTMYA7bYvvkAojhO3XFWUgGns7huNBRsvWFKjhJmE4hVY4MJlPok76no+kyvxOSBGboYnoJ4MBOOqWVGAN2AsvJkcRq0ol0Ph1YPNHk6DMdRgaAQnlgLoSS6TGnHdiFPOorgZrBAKrJ4uTBz/7JT8KugwdHYwzliteLlYtJSWRJ1BAkhxbjofqdpD9xKXEyiJbXv9VWW8X4+auvvhLGjDk70v8ABaSMsncSAbBwHf+3YC1KyJAhPOPMM8J6664XjTHUyHAyqIxrZ4dNBj0DA2L1PHl0u7mkTWTONoLNbLO4P6rOZxMK5rkzvjaCDQRU8MzRZzYP8IA5cA1gCiNgo7qGMAqAJN6GeYDYUzzQpvMZgIKCcG+sBvot5T5gEcgQG0BuQgwAjZyEHCLo7Mrou9/LYKD73y0nis4ABjg/PHI/YxjpATpPSAAgYHDLg2HHCjCwnJa2zt67Lr3IKwccOD2cBuEHRjaVNU/X4PnTzZwJg67G/goDM+b+TddiKOl7IIDXT+8I//qcn7knfSWkwE4Iz7IL9HwaHCe6ESDxvKlWQjGPCzPNIcIgcCKFhvOorwRqBgNuyxOGGKFEL9aCYcBk5VvUFixK2nBUxovzHS8YcOAB+78kNvSRBc9IOoEwcOBO4WMf+3j8vxdvcYinuSYjbGNAkhaRxSV3wWcZSJuIh21xM5zuUz5+Y84QdlsbxuJzPwYf8kXpAQbmz+DL7E1ggDF3T5sYWHFPhrdYjcsG49m7t+9B3a7BY3dd94DK5WB4XslCUDn2BDggX4YcnVakBwEzsT0bD8Vobgx9MbGILORDuL9/A0feUVuFQuq7tPLVGkkCGQx0/9uiQ3j19AfDSi/Y+zxf+kHStRBhtSY99CuQz3tPOVnVnoLOoGc4Iow/p8B96SBJ3eVBt9Jp7k8n+S5dInTJqaNPhDRSuBHD4FmwnRy1pIsAAiEMrACvXxiVE1PUw57ZtV3DPDVm2m7bbRdJchaGxRxI2MZM56JD9V+vHQID6fZeWPrjpaQ/xen5fXmUm2qkz7T3fb8vfrbStdu6l99RdhIZqy0i14SEeddyBtqbf7qfjWJUegY/T3Kq9Bm/A3Ik7KD8i0CiLN9Kr769e/tOLZ+p/7LKV2w0CWQw0DNvrKjX2tMX5RkmHVGtD0H58wAGEMCB4Ywxzm3p0o7o6+Lcy/OpRZeV51G8NwdSqJiOlJDdXnJjz7zJxr9rp8BAIz42JgESbmtgALAPbXX8qtezJ2ZA3E0IotwIqV73ydfJEqhFAsJOmCbFu4Sc8uibEkDvy8nCQgKA6Pbe7GVjNQEXidEYB+xrreCnb77BrnuqhWBg6NChrf6TR/dIABhAfQlryH3IC7x75J7vUlkC4tI/uP0H74CBT2Yw0JfXiXDpjBnfCSuvtHLYbciQxUqx96Znf+SRR+KpKYWYVJvNp6C67u0I58Sj6BtssEErpPjPf/yj6+6Wr7yIBFqWWuodmq5CSCWLKkuguyTwnmWWidU5Vb+TpCVMltdkd0m/Z+7z17/9Lfz+d78LK628cnjX0kv3zCTauatAs7wxDtNHPvzhhSHPXjnZBp/UUksvHfPQnNZoaWlpae3NdFGDyzpPP0ugV0ugo/HnXv0weXJZAlkCnZKAHLOW/v37tzoqlxLOOnWl/KUsgSyBhpOAXJlLJl8S5s6ZG4tUVStp23APliecJZAlUJMEhKmdEHTUvSXnDNQks/yhLIE+KQHHtZzfzgmEffL15ofKEmhXAt///vdj/5qWIUOGtPpPHlkCWQLNJ4F8tLD53nl+4iyBogSa5mhhfu1ZAlkC1SWQwUBeHVkCzS2BmsCAKlLO6ReHkraqTEk6VKtfVcGUb+CcvqqA5WMgKm75nAqCjrc4xlDu3Ncdr0OlK5UUzU9lv/KxPjXDVcxS3U8hIL0Hyi2RVRdUOUvtAmd1xVlrqU/g3KwyoqosvutdS4cPf/gjMXu7PAe/1yuBTP1elcfi8HMy9By+6znKrU0rydIzqazonSk6ooBH+T3phOYz3pfqZ65dTi51XvlXL70UZPyaX8xAz6NhJZDBQPe8Ooma9Ck96N8qgtIdRf3i53ql+AxdpDKhPVguI64Yj71Kn6z5v31dVO6rZbg+3UV36H+i9LmfKVmsNLDeL+WW7sXr+qzv0lGqEbZ33M8zeJall1oqrLraam3qSVVXlSxW3ZB+0hiPznT8OlW3reUZ82c6LoGawIBSkRpLKKtrKKmrVrXyugyRxa14jqIlFtZnPvOZ2KMgNTJK07Jo9eN2fEH5TGGJ7qyTb1FaXEr9mqtWyvomFBezDaHKVeqFwOj5nOZAjrgYgNGFF14Y5s2bF40gw6m1qM+1tTEABzFZ9b6BDbKzGfVqKDbeUB5U/W4bgwz9PXLkqaF//80XggYd0MwhDdcS97Vpqp0KoWDc23vs169fBBNqm+uBkICMd+Te/vZslI3mRzqnpetSJPpAkJX3TR7kqHRpHo0pgQwGuv69MaIPPPBA3F+PPvpoNPRKsSsRrH+JvWQ44jlhwoTY7AcIULadM6D2f0rutC8V41HOXK+B6dOnh6233rqmh6DPNZVTnlwZZHtfLxbXkjeiTbD5VBt6KZx8ysnhlZdfieWQq1UE5LCYu/PrDA0dohQycFNpcFD0JWAfNDeil+hrOkshLD0YAJU8ukYCNYEBRozxiQUJWlpi8x5Gx2I1vHRerFK+GAEFTCpVtuKRy1hUX9oCUu+6O8GARayJhhraClmccsopsdlQMuA2q8VtM2jyA9T4nI1pgeoRoFiQjEsL1MJVwlj7Y4L0Gf+vNpRDlq2tHameA/o3AER6C2hIZKMzsCptzZkzJ25wSoCiNncNibAUNg0wBpyYp6qJwAjFwkgXu5+luUDXns2zmK9+D65PKWhWYrNhO7xDZ84pBvfSeZLyME8dyzALWqECQFpMYw50QyM710vtT7tmueardpUEMhjoKsn+67p0pPr62EaGWEMibdvpH7qDvqFLY0fUf/4zTBg/PupJHQfpTJUD1YHwedfioKnMx3mg1zhp7Q0gBLi3Z7Wb11vGnnYtukADNh0SNZarNug/epMOuf766xdrq1zUOfSGuXGwzJ8+qQQG6A9OmnXIafF5DqWfAxSjRv2/sNNOA+Pck91p71nz7zsmgZrAgEvyInfffffomTKmZYPDkGjRm5Bu8qLL0+FV8qAtCIukO8GAuVhcgA1WowwGzE3TD2wA79kcbdjUXMOGQaNBuBoaabXJc+dFa75hsetEWGmxM8YABGBlwdvQvnfcccdF5MzQQ+P+rbMhpZE8f41LbFzdHHVtZLx1AeNhAA4AmtbJ/s8gayFaZgfM2/WFEtxLeAYws+k9z8UXXxy9FvfV5AkgMAA23oOuaICCZ3YdrUl1sDQoEc+h65jr5XoVHduEveHTGQx07VtIxo5zgUW1Rxh+ewqAZ+R4w0A/HWq/29N0CSdqp512ik3afDYxrr6vjLS6/bWAAXpt3333jbqbES+GJs1Ph1XOCl1AD1Ya2Aj7n4duHm2BgaRv6Tngh/1gIyrpR11vtZ+ng1Vmpcc4PMnZdB/fBRIyA9k1a7XDYAClBMG1BwYsYIsAarWIxYHQYjxdL9mCuOHGG8IzTz8TkaAuWLzlhPpUnrIo/C2upoMWysyitahdl4HlVaPVhCosErGm9mL3chZQakUw4LpQMcTMGFp8BuO9xx57xLkAA56DIUbZWZzu5Vm332H7sNyyy0XvGwVfHuLvgIVYXLH9JoRtgzPwNov/M6o2uGMehk5gSnEy8jYqxcFbdy/ehIF1YLSBgzPPPHOxHAef93vPh00ARsTxeByQt7KfQiNk8tWvfjUad0PbahsZawEEAiSUlM2KKTJ4LsId5ESh5faiXbNZu/KqGQx0pXTfYU9TaJCeSwPFb3+RPz1gaGlOn/HAhw4dGp0X4MC+ZoiTfqP/gHRORntgwP2BdiFJLARdUx6uM3LkyMgcVmIGdEnETKDvMZco/PbAgHt4buWE/akEBjCdHBlzfM+73x2+9n9OTQIDSQcKp9DxdEx7Or5r32bfvHqXgQEdptBNFgI0yuOVJAMJn3XWWZEOFydnhKDBddddNy5si9RG4HkCDzxuXbagUAsGrTV5yuQw4zszIrCwOBhZ9BdvHw3VXjtPCxmlVgQD6H+I3c9sOBsiDQaTh2wT8Z5tUhvXZw3ftXBtFkay2Ku7rWVjM9t8wi6uiz6EyBldbIBe4QajDQgwyO7Le8fU6E1OkRhACu/BdyD8crINSl9OwWmnnRbjdpgb78CzovK8B/kMZOxvVKUhLjh4t8ER8Hg2oREhDQsHw2P4HRAGEHjnxXbLfXPb9L2nymCgZ94px4rusLcY/BSGpf8+8IEPhoMPPijmBHxqg0+Fk048aZHEvo6AAcl+9JVcKeCiEmBvCwxgLOgGOpnDAlRwFGoFA7vttlvUTZXAACfrW9deG8acdVb43i23hLPHjl2EGfBm5E1xwDATs2fPjiHMPOorgS4DA7xNhouhY+CgSRmoPHzoUszZguehS1qB9ni/jJZkFi8e5c7w8ZoZTa1+bZiHH344JpNgJ/wckoZ6LWbX8Zm2kGMlMGBj8botdJsGCk/DHG6++eYIAhhNcTp//NzAKvCSbVo0FpBTC1UOxLgGYGKTYEgkKmIoHnroochQGJiQXXbZJbImjDmvXSaxOfXv3z9+Bs0mp0EcD0hIyUjpGcjS+/DH94EBiNy7AdwsBMwA+ctl8C6MBQsWRI9fmMHz+73n5ImQu4H1AMCAFWyFPux5NJYEMhjo/veFdcTk8bDl6CQQDVwD1WeccWb429/+GrbYYosY2ivn43QEDCRdw6iqQV9JP1UDAzx2usYf+lHuEB3OAVlSMODZefwcFHoG4KALi2ECb4au+vKXvxwdHU5bkTXo/jfXN+/YZWCAsfJSxb1R2BLUGE0gIOUMMHo8fZ/1csXpJdRY9JdPmxaOPuaY+HveKCPEoAEQstfF7BlC3jqPmmcNfWIeAInyUcDi66sGBtDfFrtFZ3GmwdATlHnMmQMMXBY3J8NtmD/2wByAAR56e2AAmzBl8uRw/Q03xE0G2PD2XYdcbNjUSpZBlrcgzu/5hCnIkofO+Bs2O/ZAuAUAK4MBbIz5A1TyDoAlG8yzUUSuhf2YMmVKfI7EbmBpsDXYCd+nMAAVc6SkEhhAfYp1en6hmzwaSwIZDHT/++KlAwP2TGL4zIJuANrl5wD59qk9K7xXzKbvCBhw8knir4RfQL7SqAYGFiz4dTjyyKNieFLYAjtABwlf0jXtMYHY4UrMAD0u8Zku5+TQmcAAPS9niQOZhnsKUQphymvw+TzqK4GawQCDJOb8t7//Ldz6/VsXO9MuI9VLRPfzNnmLKHsLjCeZDIRYPzDAWBUTCC0CL9vnUdTi0Ci0J574WfjNb34bDVUCA9AtY4WWBgZsEEZ60KCdoyEfMWJEh8FAMUwA9dp4BqMrq5XxYyjlGzCKWAQJg4ZN6YieZ3N00ib3eQk6ULWkPR5zMc8CQPK85sqI+ywqTqzOc/t9yg6WOayPN2osJRFiEXj0ySDLm3AdoIFXUQ4TkKtTHp6L4scMOJ4E0AhJAAAAgfdg/gCNAbyJ9fFi5DEATMIY3l1SYH94662w9jrrRGDifWQKr76btDuulsFAd0j5X/dgSOmzrbbcMoz47/9e+AuOBf2C6XTyRyhPkqC9iq0sZtPXCgboMKFWLCRngd7oCBgQvpX4SA/K9TJHOoAOwtCi/+mIaqMSGDAnBp9zB6QIA9OBwgDmiiVwPzlRbAX9zCGUZOg5MMB51FcCNYMBL573LqGPISijQYsVZc+IHHjAAeEvf/3rQjDAsKU4fjViSaVfAAAgAElEQVQwYOEzdIyJ8+2uhY5iwCwmHvOYs8aEU0eeGuNHwICF7fPiX0sKBixOz8XAy67HUBhAjgXJ80aJiZMx4ObHS+dhO0nhSCFjDzAQKpbD4nZdJyYg2hSnE7OjCKBsIY1UeInBdU0LXWgkUWFYAnOCrv2ONyFuZo4prwBYci2/Kx6XTMsF9S93A9BJCYYMvZwB3ofQi3mrF1BMIHJvQEROAE/FO0LVUVZpfpIrARcgTvJjTiCs7ybtjqtlMNAdUn7nHsJ+9AEDKI+neKKKfsR40jkcDsbX3sYM0HfCk7z75ITUmkBIX6Dj6VRgvyNgAEvKSKfBweGs8daFBLGLcgg6CgZSaBeoSUM40h/6hr7CApAP5zIxt3RUZgbqv15rBgOp+MztP7g9XHf9dTGGXRwMNnqe8eadWiiYgZQDkOLIFjujhv5PYQLXYcQcdRMrYoxQ54wdFgEKZegYUPF8c8EKFJmBefPmxnOoFkl7YQKUGeMNlTK+qc6AudkwNis2wxwZf8+D8ZDogjbngauzAGHb0DYGrxgjYpMDAJ4f7eXfQIFQhr+FKNwTBeaZUvUvL2LTTTcJjz02PxpZmx9AMtD40DOvHj2HmmPUefE8Bdf12RTTp0jc1ybzbH7vZIdrMNTpaCHA4nnlbQAx5J+OFvqMIfET+mcshH2wFoAZMARUuLb3RKn5vXlXO1Za/+Wbr1gvCWQwUC9Jtn0dugVYf9/yy4eTTzklGnbGVS4SXcIDZvTpUaECzoZ9bL8zkkIKqRopAwkM2Lt33nlnm0WHxObpJ149drMtMDDp4knhsEP/dbSwXIHWfBwrljBN76hCiP2kc4xyiFSCeDpNUKwzQI9jnNP3fJdzx+hjR7CtTl+lE1vuydkgAzooj/pKoGYwYBExQigrsWzGQsKYFy8xkLdspEI0vFwvnoGCSi1ww8LAHnjBbm4hMUoAAgQKYTKG0DAEuOMOO4TRX/5y9FwZOQbUZyFHxXv+FSaYE2lrYQLXaC9nABjwOQY2Ga901tZ9U9EL6Nz/AQGevM/YzBA6ZMtrBiok7cnCN6dqA5XvaN//Z+9O4OQqqv2B14CCT3iiD56ygwKPIALKkoAiiwSzExbZAqhs72GAJwgkRISALFHZTFAUEpAlrIISVlGEAIqCEFkCyO5fQEFUNkUEYf7vW1DjzU33TE/S3dMzXcVnPmR6btetW7fqnN/5nVPnoP5sTL5A8wogcBFgAyhryldwjsBKG9/vTz71ZLjm6rcS/9iMnhUTYRzcJJgD74ObwsacNnVqpPUnTJwYN477AFk2GQXvHdrI3heLH7DCcBBCxmFM2B+/z7pyVnxHH1z1g/Ea70EMAfeCzSpw0fsG4Iwvt/43AxkMNP6dYTTJCgFwZE+Kl+IGZKAA9+THZpt9MtCr5ItjyvYWyhy7CoD7nkYWMXzIKnu6mMW0/DRkNMMBK0m2VErcg/Ejg0859ZSw7z77Vp0Q4ykHEPL/ky3iicikoqvQ85FP5CeAk8Zf6QYMCnqjHECIoSWLuBYYLSmeqvFvrX3uUDMYMCUUloUHCLAInQygSC0wMQEonbXXXjvOHh8TZYQxcPyPsEElU4T855Q4ZUYJ+b7IdNewoB11s1lE1eqX4rMx0tE79DbKniJCUenDQnYKgQWvHwqq3FjrXBYWFMuf4nKWH8BIm8OixkDoC4BxKoIyZfGmZlPLUgjY6MOxRowFWqta4KC5A1Qo+ErNRiUoNC4J/bHquRC4ZoypmG6Uj99nMpRB2KwLQYI2iX9zd7DinUgAUjAQ+rEZWQmuA06AEkmO0ukLLAfwY/PZ0KwRLEBR0BAmxofC9LysHRs4nX5on+0zcJ40g4HGvksAnowi94q0eLor40SwNWBPnjA4MAXp6LQ9TT6kHCYpZoiMtf/JVjLKHqxkCLknFyPAAbSXAxYpAnIZE+oemFoytByIbLzkKN89WeGZGCxkC5aCO4Hsd8xb8zv5Q+6RVQw9MrdasjlzYI7IE3EDqTE+PB8gQf/0VA+hsW9zYPbeKzCQFgIlSCGIfrdYLAbAoBjpSuFQ/JQMOstCEG2upZzVFpNFSqFSvMlCZ8XaEJSuv4lUZ6mme7m3fvVDWUpKhAa3CdBsqLdKiX/8zdiN27Xuo0+Uf5HaBkIgXGdzjdmzlY8qUu6oPUoTYpcPobvmOY1b3xpUXwQOmI6irx2SZy14Ri6IlJM83cPYAS3zbGMARMViQe6FzQAasBYJjZtT4yZAjLtSoRHUnWtsenPDxVMGOebb+HxufDkNcf8WEBkMNPb9pf1KplQyGLB5ZF1yLVJ+9z/wQHjlb3+L6cbJoKJ8wNDZ4+QKw0z/9n93BdMYNownihpLmGQeGSOgkUzzmb4AEfKhErBwPYOMLCNnyR+yFZAAUvSf4qDIeM/iGv2SowyRagXqXEv2kflJn5CVQAUjhYs1JVpr7Btrv957DQaKU2RRWLw9HaNrv2nt+ycGerg4KGlxBt25Tfp+tHkEfT0DGQz09Rto/P0pY/FHWD1Ufjnuq/EjWLA7AD5YZwYN9qHZKewXbNT971sLBQb63+O2x4hZC+hArg/UGvdKbnkGupuBDAbaY32wsmPGvwsvjG7LVs/zL64KI8B9y8VZrUJie7y9xj5lFxgYNmxYJ19PMbKzsbfOvTdyBv7+yivh3Usskd9nIyd5gPSN2eMDdrRW4Ja4m9wG7gyQ8ffdd2947NHHwqeHDataUrgVZoB7gPtBnEGl+IVWGONAGYP9z3jsWHHFFTs/vfXW4c23j4cMlAdsx+foCCEs+o53hDffeCO/z3ZcAL18Zj5nAbN8tU76vHeppcJbh8RyG4gz0NHh+N8i8TTT4ostFjoWWaRlH1NMFhCggNE/33ijZcfZ3wfGIHDqQ8KnjqWXXrpTEJ84gNzyDOQZaJ8ZEDQmuExwm9SwTolkhrB93n9+0jwDDALBnwLSO4YPH94pHW0WAnlh5BlorxlgFTjDjSaUS8QJktzyDOQZaJ8ZIAMc6Zd0rmPUqFGdAghyyzOQZ6D9ZkAGSWfBnQnPCV3a7/3nJ84zAAyIzegYOXJkp19yyzOQZ6D9ZiCfJmi/d56fOM9AcQb65GihZDYS/zgmUk7mk19PnoE8A82fgQwGmj/nfX1H5/dVN21VGcxlbYzdpS/u6zkcSPevCQzIQS/AKJXFlZsalaiAj8ADCW4ks7CoUmY91fCKGQlNmsjQH/3oR7GwjSQ4Uhs3O4GEjHxyg4ukld5XCuHyOD2fYhkP3H9/2HTTTcPue+wxXy5vWfrUAZCJS9pOKY170xzjBIgEbwFHMghKyWw+NRnBJAYxFik8y3nHJRBR88F5YfPO16OSY09N2lApRGUQFDmuGIhsY8XmbzKUyVI4ZsyYWAuiLDBUKpQ2VHZJWc2KqZJ7GkP+e+vNQAYDzXsnUqGLzbDv1SKQErzYyFCpwqVgF+H98U98POyx+7xH6yhJMlcNF/uX/OmuLkqxf0Hiahm4h7TlMrhqUo87Wqqf7uoc+L77OoFi3ZTlZ7qXsauQmIq2pc9lK5Q2WQrm1MhR16ZUzXQN/SITqsJKaibko4WNXaM1gQGLRj5oRW00C4ACkK5S4IG0w4rdKFQhZWYqZZzAQ3oEVQEpIkpUkJKXnxZiYx8zxHSZkm0oTGTBSaUpNe+IEcPD1KnTupJZADaKMUlyMXbs2K5iQQoupeQ9ageMHz8+/m5BAxcUqyQePT2PjW7SP//5z8dH9jtFqzSwCoI2mnLDajPYlFI969+Y9t577whKfIcwkccbEPF9dQjUS6DcK1UN9B0KXAIPqUBtNAGjosdT8RP3BjCcNVVGFeDzXpUmFmAmpahrvDcZwQAl9SXUepAZjFDLOcMbvZIb038GA42Z12Kv5M706dPjfiMnKHQyCOC2l+11+5TBJGmY4j4ULcOEoaAWiXohjCryAhjQKF1yl4ySqrc7S5/cI38VHpOJkFI2ru9femn41re/HdO+k/MKqlVrSp4rnMSgI1PLqdJ9j5HAoPAcxRNq7uXnxBNP7CpuZ0zkCSMxZbP96HrrhdPezqCqpoJnNF45MHLG28as1ZrAgFtT5ApHsFwtVkWCis0CpQwtVpW0KikFC50iZWlavNBls5gBqFehDzm+peGUA9smU7jIxpKy1+ZUIATwoShZu+IosBxKI1OIgA80Da0q+EFhUsy+L/2vTdLdZsQoAAKYAHUBzAkFD0zIT64sqCqF5kUwF8Dh3v4NFAAfNqNNr5Sygh4sA5tXHnCFS1K56OL7MW5CSNlopZflQdend+b5lVQ2R0COnOezZ8+OgigVN3GtCo3uDSSppaCwCaEGqIhEV+0wFytqzEZtdK8ZDDR6hkNUtPbKuHHjIthmDdt7ZMlJJ58U9h+/f2TsAHWWuXK99jYlyTImv8iZuXPvC+eee16UEyqLAgXklhLllK9aBpUaBc3yV/KYwh88eHC8DPsIHAD1ZMwZZ5wxH1uR+nP81BjIRbIUw2kM5UYWMU7oA7IuNaWWyR8GT6pkqyKt8sQMm2RM+Z7xMVzoFgYmNpS8Iydzq/8M1AwGUNoQbLJCWYTFRpEqP6mwDws3WacWYPo361xiE2DAWWaKycv2eZlFSOjSQvW3cm59SlTfyVqFNiv1kcYoixWFRbFTsNCqTaT0MpBjcyiOZOw2oGvdUy3vYcOGdV1vA3MtjBw5MtL4xm+DKNbDkoeGFUqq1IwZ9Wdj25QqjRXHbEwUrDHZ3K7TWOvqgVPUPjfPGBb38jyQsk3pe/7mGcqABAjz/lgYQAsAYk4wPJ4Xs3DrrbfGMqf6lPpT41YhnHzX2DwzdsHfRaC7t40NIBB0EH6m8+q/URvdYwYDjZ1hexvABva59OxPyo08wKhh47ADFLJ9DggwqjTswRZbbB6WX36FuAclDXrjjTcjm5mqhpI/DBHsQTUfO9AhWhzwZxgkl2R6cjIQw8dIKrsukjymjClv3yX3VI+tBgbuu+++KG+SGwEDoPQxwEPxkH1kv+d97o9/DCeedFI0MsrjIjfJGPKGfFFFNrf6z0DDwADfNDqZ5U1JiQ+w+CkaljX0CsX6HDUP5VqAQIIGqUKwLFEsgkWMAqf00d2scotJjWyLGBKlyFDalWp1J6qquNAoOorTfW0CbIDFStGzsFPTJ4Vso6rUp3KW9K2sapvRmEaPGR1efOHF+DzVzmkDQpSvhW2MwAO3hSpfxgUBEwDug35zXw0rw1Kw4QkM4xVTgMFIpZptPEqbQOCuKc8BNO7erAvjB3QIGb5G45FswjXAhlgA8615N/oFusw5EGB8hABQlIQVNgKt6Z2VWaP6L9vcY71nIIOBes/o/P2Rf/Z5keZWHZUcoJyBfzIF3e+H3NT43O1TQMK+K6eL5lcHMMiGar5+9yYXyFyghFVfbhgBFjgjI7kxi9eIHcNSYg/cS+n5amCgXJVVPw89/FAYMXxEBCxkkcYAUU7ZnGAFyDbyqexuJTuxn+YCK9Gd4df4Nzkw79AwMMCCTL4edDafD4sR1U6hQIeUJuvev9HnFBWrk6KjCC3snXfeOdJWlDHlp7TllClTIqLmq0I1QZ5Ah8Ynx5fdk18JOLCQLW7fsSH9H7UFrKDvUkO/mSi+NkEzrHLPlpC7vmxWm4PFXwyMKS4bAIlCBSiAHSWIMSw2qeeFtFGIQBQFnTY2VobSB4psJFYE2t/4sQsa0GSeIXHPUS4RykdH0KDjxCNga7A5lD6GRFATMHDqqafGZ8XeaMbMJfHnP/85KnpCwHl0P0CC5h1C9IQUIMEFkVv/moEMBpr/vihMchIIEJtjv5MFfmeUUNxkJgXIiCI3yD2uON8F5rGZDBnxW9gEFHol2UfGMpYefPCB8JvfPFTRjdsdGCBfKGkMJYPD+LgTq4GB8mwaL/lNDlHmSUZgGcgfcWmezziBA3Jm7bXX7uqGoUR3cEWSVUXXQ/Pf3MC8Y8PAAOVOoVKgqCWWP4UC0VF4amez6L1UvjR+KGxBYgooLpuB5Y8aQxGxoi1Cvm1KUHlem4dviZKFpAENCLJSEF3xFbq/Pt+52DvDySedHC1p9FgRoafrsQc264knfiPMmfPrqGyNM1nPFrrNCpD4nP+/GhgBHNBlnsHGpmDFB3gR6Hpzw32C0ks+NfMGDLDOgRdz5Z7GlE4Q2KyuERAohqFM1Xsuc+WdEApoSicqIHEg4K3I5B+H7373jPgc2ArNe+RGsUltZAIDo2KM6QQBMLDGGmvE9+H5/Tu3/jUDGQw0/3099fTTYY/dd4+xQ/Ymeh9TAHwD/mSZqoKUrveDzeMOpPjR6wwGVrx88sA/ucBVVylmgLJl7ZMbFHClVg0MxIC/k04Mf335rxGokOGofUZbtZiBcv+Ml4O/dHD45+v/jPK8yNB6FieXsJuehyxk8HB5ppgyMpMhxFgBFMiw3Oo7AzWDAUqB35iSu+qqq6JFW2ysTMqahUh5pmAPYIBySdQWyhsNT1nxy3vZroX6LCz0PCud1aypWuUYDDRoMWAPLByUOUXIEsUM3Hnnr8LWW386KkugoBxjUJ42ihhSPe64Y8P6628QNxeUjhlAlQEjqVHQKLJp06aGu+6aE33uxpn8ar4LLUPpgILNIrbAgqf8uT4o6jK1ZYMAShb4d777nbDNmG0iqMAMAEgJ/bLOWeGoM3MAEImlKIIBMQEC/LASaPwyMwAE+C6Atd9++0Uw8Le//jWM2223+D4Fc1577TVh2rTTInWX2A30XGIGbFQAzjspgoHX/vGPsOoHPxiFlI1uDeTWv2Ygg4Hmvq90fNleIsOWXXbZOADAmlwCDjAC6HzyhazE/JE7rqXUyUGyAWvKvUfOsJwrlSUG4IEBe1R8UG/AwHXXXRtOOGFKlIsCpoEDcpZrlkwg24GX7ho35Pj9x0clPm7XcRUv9UyMDiwpPYNlTeyAe2JjyTCMbIppau5bG9h36xUYEHiCrkERl4PkKDYLkpLmD7KoKTpoExiwCLVKYMDnrHI0FGVDsV5w4YXhtGnTYuT/f77/P8Okwyd1gQH0GCDAcraRLMQ5c+4KQ4duHZV4T2CAj2233XcLJ514UlR0GqXNT2+hUfKsYM0C9dwUpHtxBXguPr3kJrBpARzj8hzHHHNM3LypYR2gaBGy5XbnnXfGTQ6EUPJcFCL3Rd0mNwFg5N82HeDAP2jTAE/pbDGKTaCj5+HGKAMPfj5oG0PgiA7mBOOQ3BKeC7iw2YCD5Caw4QEZwEZOA89tfE6UpHgFbgwuHwwNMFQpoGhgb6P+/3QZDDTvHZIpZKi9ROmTmcXm74wJAb6MrptvuTkcPfnoGKeUjvgWrwcWgH2WNJmATS33J06A3GBgYFF7AwYYgYyFdLTadzGr7suYwxKQG9Wa5xGPRYEzwrh6u2vYUgYXMODUhcZgpEsEEHoOcjC3+s5AzWCAP1sUJwvUwlhttdXmGYm/EygUJ2RHQVqcXmwtYMC1LHML4HdP/i4c9MWDoi9Mn7f+7Naw7dhtw1eP+Wo49LBDo9KFfoEByqdWMGBBod8pXhR/ovmxGhYs9LrnXnuF1T70obh4KUCKjmKUd8BngnhY7+IILMgUiAfBAyjAjDkSeOf7+sWCpBMU5ddHiaPhMSj8cZC28UHBLHgNqud6sAlY9hMnTAiXXHpp3BzmW6OgoW6ACkgpu0nSfbwbQIfLAf3oWcwL8OG9mm8xBWI3NLSle4tFAJY8M7BTPIuMpgSGgA1CoZzEqL5LNvfWiBnIYKARszp/n4wOdDjFyOihaO1VNLhWZvQYTyNGjghL/8fSUZYW/eipdzLG3gQWuOkqJR9idDBysKgMm+7AQPk0AaaCHDB290q5UBiADBkniSRGq9boAu4FhiTw09Nxcs9w4UUXhjPPOLMLOGAGgCfsM13BHZJbfWegZjDAv8zqpnwJfMKjeHwN9ZTiAyjqBAYsLMosMQOUJKVHQVJA0KZFZTHZCK4/6OCDwk033hQpMdanTYCWoqQoPIuJb9x9kpuAskOTG2PyrxWnisIT/AdB+x5gY1FboAJatth887DueuvFRWZcFBzAg8YTNS9A0GIECpxqMB+eWRAjFsA1yUVR6TSDsaD0+PZZ0TYlmo9yvW/ufWH6mdPjZ1wNBARgwRI3T+4LBJh7wIHPz//FRhAA5k38A+refAgwAkhkjWR1CNYBoFyDZRAf4F5cH4ADX6O5NTaAQ2O5YBfQ/gcceEA447tvnT3mvmB5pPdifJ7bfY0PKCgfDarvks29NWIGMhhoxKzO2ycZRBGzbhkHgDxjgkwhIzFrKVbHN5/83e/C4ZMmxT1HifqOvUVuYPUcLUzH8wRVk4GMiUrMHHlgb/teLFPrfGKpkbOMgGpHC9PlXBwpH0mKGcASiEtQBrd8ZJpBRd4KBpc4LekN8teYscjklGehH8aP/0LYaujQcMD+B3SdiiJvyTqsJ+YSC5pbfWegZjCQAk8oDdQxy9hRMo3CFMzCyqSsvVQUF8VM8aSz7yJdJftxHQudcqLA0VY33XRjOOWUUyMdPunLk8Kpp5wa/VNrrbVW/A7lDFCwlgWo2UgoLxG0fodeMQn6ZrmWI9ptNgLPRqDAWcaeCeJ8+a8vh1tvuTX6uvnfuDmMAwBgfaPEKEU5FBLFR4kKijQH7scFwJqvRpFb+AL7uBhWWGH5MHjwkHh6gCCwyD2nZmNY8EALoYEmRO0DCClToI3HJQPEuCYhbnPDzeDZuBxsGu/JCQLWB9DCRQDJQ/QCcQgj9+P2cW/uBHEZrgNaCCEBTp6Nxe8a/0bjYTCAAWyEufIcOY94fTdos3rLYKCxMw0IcK3ZI1xya6y+elj8Xe/qkkH2H1lDlgHuFCuATbna9wyYFAeFlfM3cT0YOwwfI4KCFolfKXhan/Y1mcFNWpRTZBolnI56kxn2tIyIlfoCBrCAXJ+Cj8lThg75Sxc4YZASGplV9yQjgY1iynRGoHuRya4nf++fOzestvrqkUkopjkGgBgtDCH3SDEWjX1r7dV7zWAgTQuaHJVPsXhBlIFz5ZRj8jO7lhKx6CBQipDi9KOJpGcRU9AaZcO6pGw16BWQsNg+tdVWUTkff9xxcXGwSiksC0kbtNagsN6660VfWUK7xpFcAGncAmsS9W9jpuY7FL+NlBq0avHaiBavsZSzXgE/ngFQAAgg6mqZv1K/AJJ5QdmJvBcUyGdfKUmRrGMAjrmDqIGsIpoHAAgP7IQNiyVwXbLKjU0fWAP0f1LSfIc2vfmD4AEyFkaxiR2g7M2T+caWlDNKovKMT4P6gZDc+u8MZDDQ2HdHgTIoKDJ7FKBPze+UuD3EgucudRQb3c+aL9Pq9jB2liFBKTIkxElVikkqPhUlTaEyoIryEcCnqBlCGjnDV0+mVJJprrf/BRen2gTkCSOBbPP/YlwAowNgKZ4OcJ/k3mCMsPw9B6OiqEeKesdcmKfu4hMa+xYHdu+9BgNpOrw8li0WgJJeEGqYn8ymoKjKtJWFQhn1dESwUa/HvY0P2Kn2bFwhrqNwe8prkMZJuds4PfnNXK9/rZrbwd+AAu+gPE8Yj8svuyz89MYbI3VYPGpozr2/7sCLa/TRXTZBAs7c5HoEjVqFzes3g4HmzXV3d7IvGRgYwe72lf2Z5FOtVQf1S8EDEYynYkBgPZ7emMi38rixEuRTJTnvvsAFWZMSzpXHklhVIImRgjHOrf4zsMBgoP5DyT3WawZsHnEPV191VRg+YkT0ry0IWKvXeHI/rT8DGQy0/juqxwixk961U1qAQU+F1epxz4Xtw7Fy8WhOSonNysbHws5o5e93gYFRo0Z1+iW3/j8DWBVggHXhOGJO3dn/32mjn8CRNT5tp1Ky5dXo2e7b/gUKe8/cCmKvyicY+nZ0895djAAXhsBkgefV2INWGnN/HYvYDu6jjq233rqTTym3/j8DXBY2OOqt6Jvs/0+Wn6BRMyBgy2kUcSYpmLVR98r99u0McCu89vpr4eGHHo6+/VY1Fhg1gi3Fa6l9woWSW+NmwAkyQegdiy++eCfKyAvILc9AnoH2mQHgURyLGBUyoFYfdPvM0MB7Um5D75mx0MoyX6yBsTJscmvcDJAB9r9DAR2rr756p2j0Vl4YjZuK3HOegfadAUpBzgk5KPhky6nG23dm8pPnGWiPGQAGnGRxOq1j+PDhnc6M5pZnIM9Ae80AQeBorCOojuBmN0F7vf/8tHkGzICaOI5vdowcObJTAEFueQbyDLTfDMglQRjkAML2e/f5ifMMmIE+O1rofH72TeZFmGegNWYgHy1sjffQzFFwCdeaH6WZ4yreqz+Msa/mpt73rQkMSDUpkjOlw5QkImUetJgU+nGNv3t5/u7YSvk8qPPvsvrJmS8RhUxT3SXUqffD9qY/Y5Wkw7OlJkJfoo4EYgAa1QM9uyyM0nKWAY5rZG0UmCHroOtqOfMvoRMfrkQdImnL/Rrfs88+G+9vTFJ5lvt1b9XP5AaXWtT9a7l3b+YpXzswZiCDgb55j08/9VT481/+Eo8AF+Ul+Whva7IMljOg2v/29bPPPhMWXfQdMb1wb5IIKUlPNkg5Tq6RT7Ie6ldG1O7S/foeeSRzaU9gQmIkqY4Fp0lO5zvdJZJTVv2hhx+O6eRdL3OhIMdKBZr65o0N3LvWBAYcOXDsUE0CTQEfKWjVFaBcLOgz/69IjcpWlLuUkXvuued8CS1U4JKaUpCCl60mQS2Z+Ppi+oEWecRVGNMsYGdy5eR21tUCdS5bMSW/A0tSCysglDa1z9QjUHAobS5HN6QB7k4pS8OsnoAIb+DKfEr3XAROt99+e0yHTOEDLMbmjGi6RvTttddeG9OGmmN9qWfuvG4CdX0xr/merTkDGQw0/72QMf/7xS+GJx5/POb4T2nB586dG1Pu+r8GKMgDoQ6BRmE7BiqtMINh0UUXCZts8vGYNpzS7ElByzMgK6niQGQW0OF+0seTN+S7vqlU5A0AACAASURBVNQvKcop11EYshcqVKYWQXfsrnTFUhOTQ+QUGUgGqUdQaYyeS5ZBtReMRw0VY1I4SbVVxmNOONS4dVoTGLBAVNtSI8BLlONf+eBiU0yIwmJ9ykFdKTmE1LnKGat+x5KlTJsFBlj5ztPWeqYW+KG4LXbPbJyeS30Fv9uoqhfaTM5on3/++bE0MHCgVoE5A3YIWfUIUqEhm1jkdjXkbQPZBL7v5ThnS9HbHIpEaSwCggGoUNBIvnN5zaXqNB4NMAPYZBnzvZTKUz2BYmW0xi2t3HN/moEMBpr7tihHOfkZHFhUBhfZKVUw8P/Syy/F0uG3//KX4b775kZ5S8ZICEXWSsAD+Ksh4LsMNSdBZOqrVOskPR3GgSxSj0XNFbJs5IiR4dHHHo1ZCRWQo4CBinPPPSdssMGGXTJH8h91YQCQww47LBos1cAARkC5Yc+oVDP2lOzzudonjKZyU6uGfDVG9W9SWWQykBFGzpKNmd1szFqtCQwkBSQdpJevGl75+BHrlLJk8YtIrEYFoZgsOhXwFDtqFhhQP1wBIptIARAbr1rmLZQZ4GPhOW4JsVqAXCOe30amfBXlkKTFRrVBLV6blcVuPpTrRI+pNY7uB4TMjcqKNmJ5I2EbIHbVAG18/fnMZsIW6EflRsodWLFhpBo2Pkgd0KH0AQ33lnoUMyA63LzbaIAAANHKWccas9Rzr93NQAYDzVsfgL5y6gC+4kAofic5yCQsoj3rx++scSwrWYMJYEid873vhZtvuSWWNieHWfqs7cefeDxcesmlXdVky08EaJAd3JYMFW4FspyxwojhjuQ+UPH0+ut/FJRF3m+/L0RZTsZw/5LZjKCewAB55fnISeCGIWj8ZM8WW24RLr/s8nmYTs+poivA4N9FMEAGYgcYoViDfNqlMWu1V2AAoqTA0PyVwIDFAwxYvAlAQJHrrrtuXICoa8VxIFjK0cvlT2K1e8HFssOUqbKcrGCJUPi2IF4biYK1ASwSJT+VwORjX2eddar6sdzHhrMJXQtRs+CVQQZMUrPoLURHrShtlQVZ4cUc3p4FsgYCVA5E73mGLx70xfCzW38WVBVDAVLUQIV5geL55PQJJSvJXGYHxACYO9/nnkDXadC+UsU2P6XPYqDMlYe2gTWbE33H8jcnKEBjtHn4G41PhULPL2q8XOK5Mcsr99pfZiCDgea9qb/85c9hwoSJEdhfdNFFUVGqgkr5Y/nISHIpNXtaVULVRlnI5AOZk5Qi44RCp2gZCej9So2w933XpaqFqVIhljE1AIHcYrCUK5ZiiMkfJc4p72rMgMq0ZL/Sy8nwwDoAEmSWsaTPgQysJhAAePh3EQwYF3nIwOEqUL49swP1X691BQOYAWWIKTQ+MCU7KThlKVnQAkLU1PYyLWCLioKm+CkwtBOr3eZgHaO+bJA5c+bEfm0GtBaUSKFRlkACi9vCwzgoPew7lRrwQEmzmC14i1PQH2rdZgAK+NZZ7zalf0PP2AQbg2tDcwSTD4tixwIACp5B3XF1xk0q8GEelGZGb/HTYxx8h3sES1HOAY8Og/yBFTS/YEONz80m0o84DRSbTYYpSKBMLIZ5RcstvfTSsaiHvqBx7Iv4BTXKzR1AUKwrXv9llXvsbzOQwUBz3hhjhpwQP8Vyxv7Z7wkMUIzlmB6KkTsBTc8gcw2lmfzuCQyITwIuxBiUG1aAQYERIE8FFGvlvnzGSFMyHUtpfEX/fq1ggFHlWYtggczDtpK3gERS6OT3lK9NCV854ivh5tmzw7HHHTcfGFDWntuWzAZgunOFNOdNDry71B0MyHUtSATdQ0FRZBS8RWADJKUG6fmMAudDch2lS5kqsjN+/Pio/NXfpnApMojWZgAE/B0tjh7jG58+fXpU8JQhOrwW5AhAACyACsXMv87ypjihVJQYy991PrfRKFrXuxadZowQrnK+xscdoU/WP0CDFfAMNi/AACBQ4p4B61BsqnMBIlgT907RwSwBaN8GRbm5BpBiBSR0jVZkPZgnYzQ/7kvg6M/4gC3jsdnNY255BtIMZDDQnLXAkKDUxA2tsvLKcR+/8OKLXWCg0ihY8WQn+cOlUG72NoOLgid/KrleMankxnPP/TE8+OBvun1YVj+FKwFVMoDSF2oFA5Vu8L2zzw5HH3NMlPfJGAFSyEGGC5nFoPRTZgbITvIU00l+YQhyq+8M1B0MJGYAWqV40FfcCixaaJGSHTVqVESMNgS6iyuA64Bf2yKgyE85+eRw6GGHRevfomT1UmYWKmW95pprRgXO16UPtDuLGTNgUfUUMQ+1stTdk/LGZIwZMzpMnnx0l0XuGiiaoHzggQeiVc2yp3htaBG+gmTcS2AMYOAHgodkjRlAQM0BAxgPQAk6Nyes92Kz0WxYjIC5Se4LwAoY8TeuDfceMXx4uPT73+8CPUAUMGDDcD/4t/FhJsQ6EBjmhrDgThCHkFuegQwGmrMGyBJHqu1JMoDF/crf/ha2Gjo0uvDscYq+aMT4DuaUovz2t74dtt9h+/kG6xqyy75mfGE4K0XqJ9aRCwLrWa398pe3h898ZoeokBla5bagYIBBxeUABJCLxkgeMl7ISkreSQHy073JWDohMQvkl2ckT8k0LEdu9Z2BmsGAwBKWPKodui2fe/ViKWt+MIvXdaggilGUaPJ/Q7iOtzltgAFICo+iomwFwLkPJEvB+78fypGVy80g2tSi8kMJsqBFwFKY6HyKsDswINhPaUwWt+h9LgrsxQbrrx+WXmaZ+VgFG8CYnJZA11199TVhl1127mIvMBTJTYCZgOAtcOOwsBMzEAMTd9stXH3NNdG14Z7F5hkICvEFmIEUp4A1YckDJZ6RIgeuZItLpyMIAkDAhiFUsCXGa87S0cejjjwynHzKKXHeWSS55RnIYKA5a4B8YDiQYxhFypCC48YjOx3Tw4yK4k+AAHgQu7TZZp8MBx74vxVPQnEnigVicDBUKh29AxjIG6ykuCqWeaUmFkrskTFwSVY6EbYgYMBzinci+7lIGG/GJOaJTAM6GJHmhG4h73xGzonXIuPoE7KVfBeUqL/c6jsDNYMBvnZI7S9//ktUJu//wPvnGQm6xwKi4CgiwYLAAJrdQgQStAQGWKvF0wT8UzYL5c7iF/VKoVsslDcl+dVjvhoOPexfYEAAn+vR4nPm3BWGDu0eDOgHxRTPvb75Rvj01p+OljagAjFXaxYi4IGKs1n4rVBbAIJxAyMUvTFzVdw0e3Z45g9/iEyFzUxJexZBNQJzBEYCIwkgpftCz/4u3gAjkWIGPKN5sJG4VdybX9CmTqAMSAGkMCVcNWIK+Oac8wUqjA+r4vmBrByRW9+N1N97y26Cxr5B8pMhQ+BS2JQhplS8gP+j+Ck67J+/k1UMJMDeviUvy03sE/lCHgAD1U4IuRcXJDAgeA8gKTfGHvlL8ZIl1eThgoAB8otbVL/ACLCTcgpgBshGv2uAEeDEtcndS+mTr0UwgF1h5ORW3xmoGQywxilkVj70Jhq/2CwmiI0vnRsAGkxgwEJkfRfBANQJDKRFh/ZBnXMTiJ4VDONMq4h8VBnFa3NQxjYQZVcJDKCQWMRlZkBfFhZ/GjcCdsKCq6VZoKJ7p8gz8PZxPz58m4yLIR3JMT9Akfnxf/ERovpFx9qoQADWhLL2fOXsi+bM5kaZCfIzx+5h8aeTAk4IGLvMXNwN5kGDon0mngFQwBx4VrEUAirFMBgf9C3WoHiCopY5yNcM7BnIYKCx75eyA8i5OFOj9LgLyAosn32bEpoB/gyWL0/6cpeMBCjetfjiYcl///fIaFKk5AsG8l8GxeNhpZVWnu9oNzcBa5tcZIgUmyBC9Lz+3Tcxkn967rnwzsUWmycGoQsMHHpIOP646qcJUv/io+RfISdTFkGKnTyi5LlIig07zMDCmJgb1wAPZCOWVV/kI1mWW31noGYwwNL3EixAiplLwOkAysUiosQpOwpX0IlFD71RhCJlKTbXJmbAY6CJKCqWsPP8KHCL0YsGFPwb6nVfi4kihW4pU5tg8ODBkRlgHf/iF7eFYcOGR7oNYCgrWgrQomJZd8cCoOaMy3gBGBtFAKPjjOIfUlAfn5bFiZbn+xdwwx0AiABFvudv/HncBgADkKMPlL4AGMrb3wAF3yMI+PMwK1gI4IeFQPkDIxS7jWp8rmdpsAgwCttut21MTjT5qMmxH9faUDaPecUG+I65MYe5LkR9N1J/7y2Dgea/QTJy8802C8+/8EJkT8X6iJ8Sa4W9FBtEPgISKHxn97GMWAIsAvkhqNjvFKy4Ji5VcqbsLnCs2bX6IOPS37kzyaOLL7k47LvPvpGudz9ymjxnpKVTTymGgTwiS/jvUz9iprCixsQNYkwAju+T7RhjcWQAEeMuBUSXZ92zYygYNZiB1BhkZJf8K/TJRhtt1PwXNsDvWDMYMA8UU0wnPGtWWG311eMiERjnnD9Fb4GIdqd0UVGuhUJZrRY2BQ4JUoiUpPwD6He+ckfkWMUW43nnnxeO/MqRIXR2hvU32CBm6EKJu4bys/CwDhSsoBTUE4pcwg4+Jv0Uz80ae62FkdBZNo2Fj3kAeFB4FHzxbL5NZOE6/rjpppvGDI0pIRB63/dtTAsbkPLsGBKWPWbCJjIHFri+bBwAAejwLECCDWNTOuLoeR2j1PQHyQMgNpn5A1KwIoCS5kin8XFNbLLJJjE+wjyZr3wsZ4Dv6gV4vAwGFmDSFvIrFJxYIKwrNtEeBuAZVCx4lH2iz8kvLkTKFRDAFDJ4UkIg17kmMaPloZGZ5IGcJY42M3ZY2wytdMyvfD/MJoPHuMgc7lHKGKtJlmAsGRqMGfImVb4UDOnZMBYCtLGQxpbq1nDrMmiS67g4Vs/O+EopiNPfgCRyGYDCiFaKZ1jI19H2X+8VGDBblDmUec89d4dnn/1jpNopa8BAYEiyOCFEdH5qEK4fCwItBunyeVkklDqKLFndXrgzqRYY5UYJO4po8fvd/VneAIiFxlq26FKjvBc0qQ7qzr2hZ0gdONFXmVb3HDaxDeKEhOuAm2KxENegwwAiiNjiR5WZs/Q3Ch2D4PgQgazZpFC+MQAjgETKW56eEUCA3LEqxumaYlCn/s0/oADEYWts4GLypLZf/XkCumYgg4HmLwayzx5n1SegT27a22RbAgJGRumTn4C8eKJ0jt8+T43sxWaSGZWaLIasbQwr1tF9H3nkkSjTy/dLhYjSCQfXknOUsnv6IUvEPQEu5LFxkTXYV8/AUCr363eKnBysxE5yfzBgyCugITUylEEmfgIoyq3+M9BrMFD/IbR3jxQ6xOvURbneQ3vPTH76Zs5ABgPNnO2+uxfmAauIKewvQcSJCcW0CojuTXXGvpvp/nfnDAb66J1B1qx2sQfiImQ0zC3PQF/NAIpXwRsBX+XMmH01pnzf+s8AC14sFqYSAMTK1pKgrf4jqa1HLDK3hJgn8WDYzdwaMwNdYGDUqFGdfsmtOTOA5kOp2ZzcLK28IZszI/kufTkD/L98yWJXMhjoyzfR+HuLSxKgKCZr2PDhFY8tNn4Utd3BqSpB1WIruFJ6Ks9cW6/5qkozYE3EysSrrb5ap6McRR9UnrIGz0DH2/3/y+3X4Bvm7vMMzD8DHYt0hBt+ckN44vG3TqWUi5DlORtgM9ARQuebCr69GhZfbPHQscgiLfuAAhEFNopLyLqpca+pI3TEOD4nQqilzoy6GjfZuec8A608A0nQZhnQym8pjy3PQONmoEsGDB48uFPugIy+GjfZuec8A604A1xUjpyJYXE0jdsqtzwDeQbaZwYYAVJbx8rAOWagfV58ftI8A+UZkEo7xQykTHF5lvIM5BlonxnoihkYOXJkp8QXueUZyDPQfjOQjxa23zvPT5xnoDgD+WhhXg95BvIMxGNmsm/mo4Xtuxi4iHPMSPu+/wwGevHuZUaU21v6YJvG5pEZTN0ARYGKTXYx2b1k7UrXiohdc801YzXChd10zgk7ciOLl3LExYpl7q3VWn9AbQOZz1wvy6O836k0cnl6pDWVNW3u3Lnh9ddei1nC1ll33ZhG2RhSOmTfMz/GYo5621JVt1qfobf95+vnnYEMBtp3RchAKFU6GbbxxhsHReduv/32mPpXungyqyyvZAqUfVU6dJkIyTn1YTbccKN5ZED7zmr/e/IMBnrxzqQqFmQhUZAyzgkMSO2p+E+xSdupYIdzsjaSDaOugnSgUnwuLBjw4hR0omhZc+ojaPIXqAshmYhNXEuT6pnPWI0J2b34jiqlc3bMRwERxaGkIZXBTMpoYMJcqE0hn3lq0pFKl6xeRW+VuvSjCWjV8gz5moWbgQwGFm7++uu3KX7p0DXpfqUylvJX/hP1Uyh5ZdGlW0/N39SXYRQpS5xKuMtRoaqtjKq5kFD/WxEZDPTyndkICgxR/qxhSlAZYek9iyWRKWS1yW0Y31E4SSElkdoLCwQMWXxHqj6o6MeQIUPik9iMSpXarNtss01NTyfvuOInqpARBgCP3ODF5jllAVNwSn50hVLUawAQFC9RHVGFSrkqNJ8r0iSDmBSi5Spq3Q0MkFK1UV8AVW6Nn4EMBho/x612B8aNyrKMgDPOOCPWP1EQjlyxpzEFu+22W9zz5ENqChFJayyTIdmX5Jk9r9CQs+q+31/SHbfae+mr8WQwsAAzzxL/9re/HYsjsX4dzaLolepMDRCQxAH9rliRlMMzZ86MLoLUysc4iyCh+Lf0efEsOAX+4IMPhHe84y3XgzEYizLKfL/KhG655ZbzAI/u7kco2NwSzgAUZTAgP7hnVsKalUAgFAsjjRs3LpZalsHKfZSMxhRQ6GUw0N04uD8IH+wEQLPPPvt0uVnSvCW3S/HVVZs719QDfC3AMulXX8lgoF+9rh4H25P/398ZEfYaJcCSxyo6WqraLONGGWLl2dcctGa47trr4j0VZyNX7G17s9yAf4aP/lRErOZu7PEB8gVNn4EMBhZgyim6WbNmRX85RE1RosfPOeeciKb50g499NDoy7chVOEqggEbUVVCPn/FN5588ndhlVVWjShc5UNNX6nq16e2+lR4z7+/J6Jt97RB1fRWGcxmA0JsZFQ/RuKNN98IO35mx7ghKWNVHBVE8h19YitUOcQgqIRGWXJ1+OkODCitzEKgsDfbbLP4jHyMvoM1EBPBUjAn+lI1UfGlYcOGxbFIKep5jVHlyVSVkvtErIGxoR3NLxeBORs8eHAs5azeu+d9z3veE90jKrDxa2JduCwIJvEJ5vXss88OL7/0UvjAssvGzw466KBY2TG36jOQwUD/XB3YSa44bjX7T/wSRZ5kjv3p83J7/i9/CQcdfHAskQ54U/zkEnZQvhluUJ9hF+1BTKD9Z3/a/wqrFeOUiv2rIYBh4E5UUj6D8f6xtjIYWID3RFlRaDvttFOMwqbgKFUKnH+cz42SVjNcARg1CIpgAFiAyCk85URtNMqUZa2WN8WIRZAvXnDPVkO3Cq/87ZWo/Ch210P1qHmuCf+mJG3UG264IXSGzrDzTjtH14ECSBQnq18J5VGjRsXNjq1AwfsO10BPYICgUG6Z4hZAiIkwFoBnl113CZtvtnl0BQg6QhUSFvyRhNPYsWNjvntABrMAPGEwPCPBpSa6uTNPGAr1ygkwnwMRnsGzXnDBBZFZcR4eoNGHMtjiJcwf/ybFf+WVV0ah5ndzRdjlAifdL/QMBhZAELTAVyhzlD1DAWO34YYbhL/97ZW45+1rAL7S2pdgCosHaHPvpSaQkGGDIQDyDzvssDBlypSw6667xoJB4gJOO+20bkvEUypKsk/68qTwxf/9YgxKzq31ZyCDgQV4R8AABSNbE2Vvg1BelDdr24+gG4hdME3ZTXDCCSdEJQwsUIIU2fjx46Ny5W7YYostYrT+9ttvH08kvO8/3heO/MqRkaILoTMcdtiEqBCBEWCA8mSp29T6xRKIa2CRs5xtTICBUkX1AwF+32STTWIwJDdDT2DANDlJYLw2+YsvvBhnTmAgq9sze34ChMXv3vfee2/Ye++9I+3IQgcSzNlKK60ULX1g4Mtf/nIEFkAMK8Z4zAWrQ2ATdwuQ4XuTJk2KYAAQE7cASLFggIFbb7019snfiWHQrzFhZsQfsG5yy8zAQFsD9qT1ji3EStongDeZAHgDCuXgZsCeX/+tPXtQmDz56K5p+cerr4YZZ50V9xU5woDQD9DBoLAfhw8fHpmHu+++OxpB5dLrWEggw5i4CAVP59b6M5DBwAK8I2DAxKHD/ZvyYhGzYm0MmwgityEPPPDA+cAASo8F+5F1PhL2+5/94gZmwbKcL7roomgRAwM77LBDjDmg6LkUis31lJwgPjEMLPRp06ZFJej+lD2mwb+NERsAFKDtUOosapS+0wEyztUCBtL9b77l5jDhsAnR+tC/BpSwJoAjfkPPQCi4FwCCBRFnwM0wePBGYf/x+4cjjzoqghZAinDyHWAAgAIGsAEinDVzdPjhh0fgAYgBA9wFQIRnAqhYOwQcV4E+WTjAEbCTfZeZGViArd4vvkL28NM7Bkj5U77kBRchAA2kFxtgjrnj5sOgkVHlhnnTr6DCFGAMlNtP3H8Ahr8zUIAFsig1DB/ZwtjhKrBXc2v9GchgYAHeUQIDNpSNwRcOJVN4Fj7rnoKi6NCvlQIIHce76OKLwuybZkflyQVQDQzYePzgCwIGfMfmp7gvvviicP/9D0S3hvv3Bgyg9il3lrkTEX/6058igAEmuD0IjE9/+tNh+vTpUZGXwQBBYhwil4EkStxzczlgF3oLBowDGBAomcCA6OgTTzoxTP3m1Ohe4ascMWJEHBOhlltmBgbiGkhggDuAQeCo3y23AAM7RQBdBgP2KnDNQHB9AtyV5gaLwP+PEfQdwJp7DvD2mSDf66+/PgL9dJRZTIGYpEGDBkX5UAyaHojzP1CeKYOBBXiTRTAgyIYFO2HChNgTYMC3vcQSS1QFA6h/11Ouh3zpS2HRd7wjUvfVwAC/HQTfExjgy8MMULoCHClCm1ngIEQvAIiLAj3PtdEbMEDgEBzGiCqkwN0Hg8HCoNwlIGHZ81WiCcvMAAHiuKFr0YdiCvyOXbAQxVX4vngKlnyRGfD8ApMwA8lNACQ5OZHAgOd7+vdPx3K8Cu8AGgABn6fv5pbBwEBcA92BAcwAFrLMDNgf5Ir9Z/9Wa1x9ZJNrBBPaY1hICl4MAWXvHmQKN6T27DPPhPU32CCyFQwmMiO31p+BDAYW4B2x+Fm3rHXBMbJx8VtTbpQci5USgqgdwcEMsJRtGD51mweihqQpWNYtZWfTABKUokyHNhc3weETDw9TvjZlnpFyDaABuQmMRZxBAgPiBFDpYgKgdIFCaEPX8MPb2PzraEXPAMWzEiZPnhzHJ89AMcmIG/NNUqqABVcGX2Fqgpc8M2HBR48FIDCAAZS/cfE5nvat08J3Tv9OtFy4MTyD5wcs/I5ZOO+88+J3EhgArlxPqAjMBDSMAQjz/HPmzAmbbfbJcPPNt0R2xlxQ/D73f8ckgRd0ZW4ZDAzENZDAgJNI4nPeYgZuCTvttGM4/PD5wQADQZCtPctFIGi3UsP+kV8SmHHv2ZMYN3sbKE9gwD4jR5Kr4J677w5bbLllTLAmTkhwc26tPwMZDPTyHdlIlCbLe9asK8Kqq34w9sBfTqmzbCXboJAFEdoo6HAblfJzUkBEPopN4BxfO8UGMFCi/PyAggQeAnV8vs+++4QzzzhzniM64hVY0Hzj0LlgQowFnz1Q4ncKnd/c/dDz3BiCjFj0NjWh4ToABp1IkNjwwEA5AhkYQBP6ERtBwXsmPkNxAaKQxQYIevTsThCgDwEOgYHGwpdvrOYwBRWxNPzulMPxxx8fnn32mTBmzDaRLQCK5DJgvciSKJeBcaM1zQuBpgEzxgxAOZ65zZgx4eD/Y1wAHGMCwoo5IHr5ytvi8nyaoP++Zq5Kp3bS2X6A3t6zX1D6lH35eB+gLoYImwfAlxsZgT0QqMyoKSYN++znPhsef+zx6A7F3tnTAg5T1kEJ0Rgg7ptkVP+d3fYZeQYDvXjXNh2rmBVLOVJ0//3f+4a11/5I9Jvz+1NGXAT81ChsrIFGabue4uR/F3TDahd1T+nbVM7es47lC6DIKFiKcqn3LhW+sN8XYnQuhc7qpThF9Po7H77rCQEbm/8dGkcPchWwlgUWAR4JJLDyfZfV7BQDBE+x+0zgD3eDtMmpvfrqqxH9C37kcwQ4fI9VImMgC4NCT8eIMA/u6ZkwFMcdf1y4+9d3RzDhuyx+9wGYsAa+qw9z5xnEIwBJhAkLAwjAnmA8MAmEmPnjcjG32AS0pHGbF2NzH8GXgE61M9G9eP0D+tIMBvrn67W/GA/AMJYQgMZSOlkkLkgMk6BaLCPjI7UXXng+ugnuvPOuyLSVI/65B7CImAH7qtjuf+D+MOnwSdGY4IrDCDJ6Uj6DLx/x5XDN1ddEw4jMy61/zEAGA714T5SgKFsK08byu01EaUHSftKGoCBZt6lIj+8Ur9cPUECB+w7FRrGiwSlUlq97QPT6hcxtPr8LlMM2pL5Z4v5G4VHalKAx+Uwfvm88rveZ/7vGmPzuvsBNqh+gP+MqWgOpD59hDwghY3QfVn85YtizU+DGw/3hmTw/QOX/+jcOAETilHSN11Ecr/lI48IiyProOQUEGqf+U40IY3Gs0d/lGEiFk/JJgp4XeQYDPc9RK15h76DzyZB0sgegJh/sVXvN/8t+e3uGNY9lY1jII5CavzkWbQ9VKlrm70C4eCHyD1hIe4xMGDZ8WBg9anR0LWQQ3oqrpvKYMhjoP+8qjzTPQMNmIIOBhk1ty3YMSGDhsHNOGmE4i4Cgt5kDARC5COQ9EOOTs3627KuvOLAMBvrX+8qjzTPQkBkQa8Kt5ZSJpDW5tccMsPK/971zwk033RgmTpwQAUFvUDJQkgAAIABJREFUQYCZwgKKPeI2kGOlXNK9PWazfz9lFxgYOnRoJ4SYW56BPAPtNwOoYr5jQWOyzuXWPjMAEEhC5v9yAxRjC2qdBe65++fODUM23jjG/eTW/2bAiTMMYccyyyzTWU4r2f8eJ484z0Cegd7OAEuQMhDH4oRIsRR3b/vK1/e/GfD+U2zRwow+gYgUu7AwfeXvNncGrAFxZOJAIhgQ+VkuL9vcIeW75RnIM9DsGSDEHfsEBhgE2bJr9hvI98sz0LczkMCAI9wdo0eP7nQkLbc8A3kG2m8GHGd1plzMgFoVueUZyDPQXjMgs6uj8R0jR47slCwitzwDeQbabwYEEEpUIzFWDiBsv/efnzjPQD5NkNdAnoE8AzFwyGmCDAbyYsgz0J4zsEBgQJIaCWNSUhqJLVICHH+T6nK11Vare+lK52Kl1ZVwJp9hbc8Fm5+6MTOQwUBj5nVhepV8KyUeq9bPm2++EY8CdnT8K7tgLfckS50AUHAoZQ0V+PdWXx21dBGTg0lWJuFQkv+VvigOTXIw16SkbOXrXOP+xef1mQyusqnKrphbY2egZjDgxQgykqJSxCEgIPOUgjVeMGGiydmvAIbc1IrQ1LqwenpMKXjlqHf86eyzzgrbbb99T1/Jf88zkGegxhnIYKDGiarDZZSoehkyAMquSQk6zqk6oIybMpNKve0af999j93DgQccOM8pjz/84Q9RFqvPIYuo75K5tWT80/+pp54aFbSU5ZQ5Wa1IGMNOenQxJCuttFLFp5U1VEG1W269Nbz+2mtxHKl8cfELdIYU7SqlqrUCDKiVInV4yirqeuXVpRFXW0SdEYmLUjC7ODY1EMh+BZNya9wM1AwGAAB54i0QBS6khvVli9HvcmFrcvRbyHLiy4ldryb3tjPQFsZFF14YdvjMZ+rVde4nz0Dbz0AGA81bAiqRqreBRU2WuN8VQKOMKUbVNldZZZVw7/8VFHrs8cdjHQH1TChuKb3VAnjsscdiWu9f/OIX0UKXK0JZ72Ia8fJTUeT6dx/pgqURP+zQw8J1P7ouGnbSlutXZULFyNZYY42uLoCH2bNnh2OOOSamN6bU1R0BYMq5CQAchdsUSpLyWAEzx1dVTFVjBUBgRDrb7jN1UOgUwEBxMu4qxZf0Q+YLbD344INjufIikGjeWxv4d6oZDEB/Ku0pVpMKV6CZLEpHkVSH07w8i1UGqmqU0IJMq34tCItLxb4ddthhQbrJ38kzkGegwgxkMNCcZUGOJRZVVcHEnCa3KherKoAqjXKH3nbbbdHid8JDkTRK8447bg8/+ckNsWQwMIAtZXgp6a04WLXsf8BHSi5Fwaopgp044ogjouUt4RDGIZUAP+mkE8Oee+4VlS82geEHSFDS9IEKrNUaJgDYUCTt0UcfjQAFIzJ+/PhYBTHVNZC1UD9bbrllBEfGAgj4HNjQ3Nu477nn7vDNb06dr7x6c97cwL9LzWBALXk0UkKfSdErm6uSnap7qfHzQIpFv74CMxaphCaq1CkqU/b72yi+C2T4W7FqXgIDKtvJp10EA+goaBbaxVzkc9IDf+HmJ6zvDGQwUN/5rNYb2lyVPyW1P/e5z8WTG8ln7zusYwW4WNuaIkQqdEoGxRDjO1cDIFYzXWqpeI3fgQUVSLur0Mmq58JliatGqAkafe3118LIESO7rHtG19577x0mTZoUyH2KfO5990VXxD9eey3MunJWWG7Z5bqdMMXUMB1SE6teSF4bp4JI5DsAQ057PixDsvZVYMQ8XH755bGCa2qYYcy0OXPyJbf6z0DNYOD888+PC4l/CmV10EFfDIsttnhkAZSMXWeddWJFOYjz4osvjr4htBak67tevsUEJfodBYYq2mqrreJTobmkQ4ZUBYwooYkSUhWLPw2Khhgt4iIYcE8A5YEHHwhPPflU3Fz6NZ7c8gzkGahtBjIYqG2eFuYqli9FRqlT5uSckuZf/epXo3FUbq5BtaPZydVyKWHXu0acFkuaq7basVAUP1/8jBkzIhWPFajWAARsBJbBuXNGFiZA+XGylZKm0AEQirxaXNgPfvDDsN9+b8UHAAUy3NEJ/j1y5Mj5bo9N4OYg88n4YlCi75oHRp/y6OYut/rOQM1gwMtA+1D00OsWW2wRaRy+JVSVRUmBq1t/5awrYwAKhAcEHHnkkREUCAqBct/33veGk04+OSp7lD86DDV27LHHxh+17cUdWHwoKTEJ3ANlMKDEJuSqdj1hdtvPbwtHfOWIyCrImWBcueUZyDPQ8wxkMNDzHC3sFejuu+66K/rOMQT85YyjsWPHRjeryP7U+O5vuOGGaOhgAyjxtdZaq8uCxpQqIy5RDIp/yJAhUWai3CvVFlCSmLX/5JO/i/dfZJFFKz4OOQ40kJ9AC0ZCESIxDT//+c9jLBjgQtZjDOgE468ECIAfgCLFB2B6yfeyi5f74O677w7nfO97YeYFF0RwxO1RdHdgGhih5oHBSHfkVt8ZqBkMWCRP//7pcP5550eU6oifQI8xY8aECRMmROvdArWIvEgsgIXsM5GqFg3aSfSqxeR7KCIU0oc//OG42J544on4uwXI9bDddttFNoKfSuAM+iq5CfyNPwrlBSh86EMfishT0IvKWfxSFmlueQbyDPQ8AxkM9DxH9byCoiTjKHKgIPnIWdHJsJo+fXo0ph555JEwdOjQqFj59TXWOguZwhZXwNfPmtcfuVxufPQodnKUUq/WHvzNg9GN8YX9vhBZWApfwOOntvpUWH655SNQkLKay4GRZ7yYhGpMA3ofu8BFwP2hT4Yi6z81IIkL+geXXx5+fttt8Z5cDJiAFAyJ2aBPuBGAC8GEudV3BmoGA+m2ENrDDz0UZsQa2BfHIyMoH0rcC0Zr8Yfx73hpmtrWgAAWYKeddoqfQanYAt9D6e++2+7hzjl3hnPPOTeiXMcYAQYoElK0KIpgQESqhcG1ADGmIzXOz0KaGIu0ceo7Zbm3PAMDbwYyGGj+O2UoOTVA+VL2ZGFRjlGgLHqKjzXvOCDFyvJPZ/dd40geI4txRSaX3QmuBRgYVtwIDKVKTW2KAw/83/Bv/7Z4OPnkU7oUNqt90003jQGKxkDOv/D882HCxIkxqJy1XunkGKNMwCBjb+ONN46uBm5dgABrnBS98WGbX3zxhXDhhRdFVwLLn2znTtYACYZeAgknn3xy81/YAL9jzWAAQnX0JB01gUwpZ6wAVGqBUd4JDHAhTJkypQsMCGwBBgAFTbSsY4gJDOjLghYEw6/mjC1lD0gk/1IRDKCrMAZoMgi5iIZTsaV65TgY4GsgP16egZyBsI/WAEAADJBVgrEr5QnAtrL6KUksaPnooD6SweXEQdkfTx7ecsstUbby8zsVUG6MKG4GbgzjKN6DK0Nsl4h/DAYwQP7z64v+9+MEQrFhPowXc8HPL9ZMumsxEi+++GJkPDbYYIOKs77RRhtFsIMtACQ096M/GJUMTWPNrb4zUDMY8GKBAS8z+aSwBF6OhQi1AQCVmAEvERhwXRkMQJbQqlMEFhR0apEITBSXIH6AW6F8mgDwcE/UEboKAhWVa9EIqOFnK0aj1nfacm95BgbWDGRmoG/eJxmK5aRsydJKZ+hZ2BQ8ptVxwrKRQ3EylLgIKN8NN9xwvodheHETiOCXl6DYUPBABKOKgeWYI3aVLHY9q5wbNyVL4vsnj8l11wsI9wxFI0yAIX3w+98/He6441fxdr7PzcDdwdjj6q3U3Avj7FnEk2nAihgy7AJ2Ih077Ju3NjDvWjMYQM+gmrwMPiOL9oUXno/+n2uuuTbGCliELHWR/yz/hN4obQobknS0RINSLVBgQNYpC8sCESzoeCAkKaCGxe84osV3ySWXRIoJqLBgoEv3sVCwCgIU0WmQLxopV18bmIs2P1X9ZyCDgfrPablHCvIt//oqYd1114vn5ynh71/2/XDWjLNi3JWTWWSYfwuMJtvIMn5+ctTnqHbHs/2bfBTgh3ZnjWNjKwVOi8diyPmu/hPo0D929qyzzwo777RzlO2acXAPsMKBAycVpk6dGo+Qk73uCbwoeStLIINN7IOgRq5dBiOg4G9YiUT3U+RAiyBAAZHuYSwYAGyE/rgcxAuIO0snCoAmBqU4CgZnDiCs/3qtGQwIAKSEuQn446WGvO22n8cXPX78/vHFWUDAgpMBgwatGaZNOy0mHrJoAAmLiNIW6Eep83cRQgCFIEPftZBRZdCvRSJ+AJpMR2NsHijUQrOY0FYpWhWA8B1j5R+rFFVb/ynMPeYZ6P8zkMFA49+hgEFyidKmYNHt2EzyjyFD5vG/i5FaeeWVY3Y/lPpzf/xjOOTQQ+Pv5BvLOgGDwYMHRwVPZpKplGolucfSZpCx4jEA4qkAgSR3KVuyNwUwGiO3gFMOshRS8mSuZ6CUneTCMAjgdh1mV3A3Jc8wNFbXejZAgXLH9go+5xZx7TPPPBPdH0ASQxLzDKiIT2DkFYMMfZeOAYKU2i7+rfFvrj3uUDMY8AJQ8BaJF+7lQ6aoHi/eAvQiLTQLCiWETrLYH3/88a7PHH0RYyCvQAqE4Tq48cYbIzugLwvX4nS8Rn/oLT+QJ/QIGNhMyQ3AFyW61T25DxxfzCkr22MB56eszwxkMFCfeeyuF8qXHCXrHJujABlWmM/UKEi+cgr+ve9dKrpQt9tu+3kSEwkqpNQpUcyAAGzu1GLyokrjILdZ3W/liTkoymCfkbPlRn5iCdw/yVIBik5wCXok+xl35DAQ49mAAMGMlHZS1saI0XUiwTNzd5DPGn1CdmN4sSROJHCXYIrLzWkIOQgwxymDY+PfWHvdoWYwwB9U9FXxI9Ur3bAX7XQBlGmBpftQ+l//+jfCH/7w+8hK9NTKY+zp+vz3PAN5Bt6agQwGBv5KoLBZ9dhcSj1R963+5HQN+Q9EYUQwCLnVfwZqBgP1v/W/eoRy0UiOrqCQ0FVQoyhU2bJQawlNNnIcue88A+06AxkMtMebZ6lzF0h3jKovpnxvxRnAGFxxxRUxDozBuNlmm2XWt0EvqgsMjB49ulOwR1809BPE53iiOAKpJlFegzfaKOzx2c9GOq27etl9MeZ8zzwDA2kGZPIU/CsqPQfeDqQ3O/+zkLc//ekN4Z//fCNst+224d1LLNGyD3zrrbfG6rgCz63LerHRLfvAfTgw+18ei45NNtmks68SOfBJiR+wSAWIoIVkFBQQ6OX7Pbc8A3kGGjMD3HKC0lLteXsvt4E7A943eSsob8kllwiLLvqOlnxYJ8joBCyGIEQsQW6NmQFrQnye4NWORRddtFNEajor2phbVu91kY5FwiKLLhI6FukI/rMQ0k+zx5Lvl2egnWaAYhBMZr9JV5uTdQ38t+8dk7Xeeehs3eeNOqGzI7zx5hutO8iBMLKOEN745xsxELRj0KBBnZ/7/OdaemEMhDnPz5BnoOVmoCOEq668KubAH7fbuLDsB5ZtuSHmAeUZyDPQ2BlQl+L7l34/dIwYMaKzUprKxt4+955nIM9AK8yAmAEJceS2zzEDrfBG8hjyDDR3BsQMOMLfMXLkyE7nRHPLM5BnoP1mIJ8maL93np84z0BxBlriaGGrvRKBKhIYVSoaksYqqFF8RbloSKs9Sx5PnoFaZiCDgVpmaWBd4/i24O1WjhExxnySrDnrriYwIM2w3NYpE1VaRLJMSZtZzKDVnGE35i6yK0qAJA/4sssuGxMgVTrKAihccMEFMRfC9ttvn1NjNuZ15F6bOAMZDDRxst++FTlCrvphgKjWJ/WvJh+AEu/SEZOxH/vYx+Yp+evUlUyuRUXOOCGvFHrrTsG7TrZYKYWVOxapL0usugDGJFWxtMaVCiK5r+yzKXssg2ndddftNvX7vffeGx76zW/C0sssE59REblic0/5ZIzHPddcc82w9tofDp2dIdavcepBfoFseDV2jdYEBiycc887N6abfPXvr0ZFCa1JGWzRyD8tJebCNotC64tUwqJqFc1Q6OOGG24IO+20UyzMIbq63GRGlP6zs1PlrjO7yjov7PPn7+cZ6KsZyGCguTP//PPPhzPPPDOe9//Yx9aPuVRUaZVeWCpiiYHkWnnnYouFm2fPjrn6Jd1heIn49r4U7CmDATVjrr322m6t6ZtuvDGcOX16lHHkGGV98MEHxyRvZLAMf46YSR1c7J9STqXnfQ5USAmvfkElmU2mXn755bFg3cc++tHwx+eei7JSUSUARMOwOtLuWJuaBMCPDInK2Ct4BHyoVuh7Ci3lmgSNW6c1gQG3V87S4rFgBBqpKOhssh/nQCUMUmxjQZsFbhF76fJh90WzEeTJtgjVS1DEoxIYMDaI1Zg9c0asffG28j3rOQMZDNRzNrvvi9xQVIi8oyglekmNctx6662j3FHRleFFMV522WVR6Y4dOzbMmTMnZmplwQMPGgOFdU25q/FSrSmHrA/F3NQpcI5f4Tc1YXz3+5deGqbPmBEtcUXhVE5M7dJLL40ggeWOFdWUEgYaKjUMKzmaxqSwER2iEuIRRxwRvyJoDQMrCy2WVRPMevPNs8O5554Xg1mNUXbabbfdNtY9yPK2MWu1ZjAAyUoLjEanMFFX3AcHHLB/uPLKq+KikEUwIUSLGnqs5O+hdFN1LI/lOgvZAlUZy0LUIE/oMvXpe+ipShRYWpxlH1ixD33F87Vvo1rfSdURXadvlbagXQtU2U60m7+VkW/qtzieYj1vY03JPRrz6nKveQbqNwMZDNRvLrvrSRE2ck7xHiwkIFB0RRLIir/5m1ot2pNP/i5suuknY9lebKXKf9wKlOoSb2cPpOT333//CDKSUi2Pg1uBDJfMTTEkShXrixEl78hqRh/5i8rnClWISFNAacKECWHjjTeODEVPRZFefvnl+JwADRCAQcYki1b3uwJJwAyW4KSTTooMAhBEZp599tkRJCmtDKSQ2065nHyyao3Tomsjt/rPQK/AgKpR/EpepApTfOxeOKUJbSpdLHmJqlYYBIuL+8AC8m80k6pWfihc19kIFpYyxCpbWcyqZfF7Pfroo3ERWiSUtO8pW2xTpA0EdNx1111xXMltgW6CrH3XQqekLTxllC3uwYM3Cnfc8atIj1HyFr5+VctKYACihVB/ftvPw2v/eC1SeCp1WZj8eTYfSkv5TmNRScwz60cVMMwB9sTG4gds5SCd+i+r3GN/m4EMBhr/xsgO1jbDiaVL4aP9izFXxx57bPBz6qmnRuWusfpVYyVvKEUya+mll+76nn4vufSScOYZZ0bXA3a13FxDuQMYlGyy5ssBeqzwoUOHRrl2/PHHRzrfd9UHsEbIQHViWPvdsaJkIdDAYLz//vsj8CCHyfnjjjsulp43D9iGcePGxfnwN89F9tIJ9EoqSkQ37LXXXpE19nkOKqz/eu0VGIAqvVilhBW4SDWsLRSoUWnMr33ta5E5gHgpRBa/RUWho7kg0kRNoYgobXSVHAcCaSx6NNQrf38lVtaSHcvCBRx8z4JSwcpiBQRmzpwZFyqlCxRQ5haZPt2X+wJwUe9AH0OHbh12221cOPHEE8Pw4cNjuWRIGxXHb5bAAHpq+eWXj3W8JWMZMmRImD59emQPbOIrfvjD8JF11okLEx0GsesL+PHcEDaQsMuuu4Tjjzt+wARZ1n8J5h5bYQYyGGj8W2CckEuq77HEUfwUvHiB3XffPbpbWcqUJRr9qKOOivKGW8H3uAeACdcXG5aA4UIe8q8rFVxuZKeyxUq933//3LDUUu+d7xrGHf89eVqsaggwMPSAiLn3zw1/f+Xv0bgCLND+lViCO+64I5YcxkKIAfAcGhk6fvz4MHHixPicxuXZjGvEiBFxDhhW3BGDBw/uYmRfeOGFaCiKkyCjMdO51XcGeg0GvAiLgoKl3M8666zwwQ9+MFx73XXhD7//fURvFD/kBwhYEBQrpQ1IAAwC9AALC4kVDRWiiviNLDrU0L333BuO+MoR4dprromL4EuHHBI3gwVNifOL6V+1w6OPPjoiVcyB+7mPuAZMgU3i95NOPimsusqqcVHaUKx7hZmg8i8d8qWw9H8sHTdgAgMUuXgIKFkf6pC756iRo8Kjjz0awQ4U6/m173znO/F6FBZAZPHaLKJ0Z82aFcecW56BVp2BDAYa/2Ywk6xgRhSjh5xjiGAoGTAUOQNpl112idY3ip1spaT5y1nZ3AvlYG2U/Oabbx6NGXIpKd7iE7GsyUbgg6u32BhYTi5QwO7PcFLqmH8+xUxhB8hTwY2nn356mDFjRlhppZUi28BQKvfHIMQMsOSLBfAYg3SEYEA6Qv8Y4+232y7c/DZouP7668NWW201D5tqDgRVMr7oCHOUW31noNdgAMoTYIf2hhjR7ha44iaQr8UBubKqKX0L3LEYFrpFCxWqjIbWL9JZFp8gGRsAze9apxTcT6QpFI2aByKwEvqgiAEBn/GdcVG4nqJ3X7Q/1Ml/DxwkOk5cAiDD54aSsiAtNuNOYMDmw0BAvRT9pEmT4uJ1L81itUGMwbP7v2tmTJ8exmyzTfTpCUCE9EXgov1yyzPQqjOQwUDj3wz2k/HCqqZ0Hcsj01jE5CkZ4ugdRala36c+9akoCxkzDLANN9wgzJx5QRd1nkbMkqfIuQjKrEG6BltJFgpIZF2XlbdjfT5noVMKXKfkHyOm7OLEQDB8GD3KILt3uT/9AANkv3iA1Dwj4JNkIvcBZpWLgAEFqAAZGAqGWHIHY0ewuVhZLPTkyZMb/8La7A69BgNeFiuZVexFUsLFxeIoCMXvOv4m/+b/t2ChUlY+SxlStTBTqwQGIF1omoJfZpll4nc+//nPhfe//wPRd4ZmgpQpXWhWSwGEEDXa3gbwN7RXQrnGxh9ngziKA8zsscce0cefwAC2QkAkMCCgxVgodKi2EhjAGhiPTZtQrdgKi55vDdDJLc9Aq85ABgONfzNkIQOEi5P80ljlZAsjiBwjhzAA5AU5xWcu8A+zSpaIJyie02fo+A7DBAVfPsOf7kGGkl0MpOh+rdIoZCytsXBTWBeVovfJeaCFkcYALAMGLttkuNEXqbHsPS9DD5jAihi/Ew1kNcYB8wAUMcIEHmoMT79jb90XGMmtvjOwQGCAz2uVVVaZbyQWCOsY9Q/pdYbOqHRXXGHF+cCAKFbsQRkMoIBQZJiBamDgAx9YNlL9SfmioYrHGt3/pZdeinSZBWaD2IjAgE2DBbDB9EF5o6lslBO/8Y3w67vv7jpNAAz4jmu4JyxAaLcaGLBRXQvR2hxiFFBzKDwoO7c8A606AxkMNP7NsIATi0qGJgVKQQrETmDA55jFVElS8aiHH3o4ypAkW9JoBVlzy/LBAxrVmgh+ypmvvcwMlL+DrRDgbU2Qe5USryXDjo9fvFS5cY+Slc8991w0uvRB9gIYrH7PCtxwpWI0MCXkvlNrmFtsAnm76667RgMPG0EeYwQYjuloYuPfWvvcoXdgYM89w9z77osBMGUwAOFCs2gwyNJCgGwpQ7Q+NErB18IM8LvzT5XBwCOPPBw+97nPRwvevfifBP7ZDDNnnh8WX/xdEWlbYIJPnGJIYCAxAzYYuonPSWQsOg4yteCc+8Um6E+AT2IGEhgoMgM2JVSe3ASYAXQZhJ82rE1nwVvA5iG3PAOtOgMZDDT+zTCWHPsTlExBkosaeUTRzzhrRthyiy27BkKWUbQUPbDA0CpH0TOeyFQWNja0WuNqcKyPhe2EVWru4Scdufa5kwBOh3HBkoNa+ai0ID9rhnxN11D26Rg2+U3xk4vYVqesyH+BkmQuxleguBgHMQKYi1QgCwPsxJgAcADGM5Pb5CsZTMbmmIH6r9eawAB/jYh6it5CQQtRtEUXgUUAzbmGJSw2gN8I6hNs6HPUD2uey8CCYM2nSFTnSv2gj7gXnCAQMHL77bdHJS02wSKGfn0HkrSp+KzEFAwbNiz2D4BA1YACdMo/ZSF50HRMReCiZBrQJcQKrUOkAAbGwkKj0C1kfj3IndVvQ7ofZsH9fBd1xS+GooOibVj3hGT5tx544IE4X8XkHfV/jbnHPAMLNwMZDCzc/NXybQrVUTrKG9VN1rGwU6CdOKeUYdDn11x9dQQD2263XQy8LrsAGC6MDLJXIGJ3yXgwoVhaQdcs/5SfgLwUf+U4t2A/css9gQbyy7FospH8k/2PC5RMJCvpBVY8lzEmFr0vyBu4YSxiQhhDTnqR5UCB5wBKyF4ARD9kqrlIip9sNwZxXSkGIjHFdIx+k/uglnnP19Q2AzWBASiWz8pLsAAov1GjR4Wx24ydB6mirKA3lBTlx8KmwEX577XnnmGJJZeMQECAH0rIJrAINT4mCyUdo7HgKFEUPspq+x22Dz++/scRBFD2Fhn0etedd4ZTv/nNGE8AmcqTbeGx+qFtKZQtJIgcAwAQOB3wi1/cFoYM2bgr8Yb+fNd3RMLaeFCvWAXPDgxZgD4T/GhTAyXGAPi4xmYTHwEM2Ux8fzarQKC+SLFc2xLIV+UZCNHKE2RLOPdVBtB2eA/kGyXHj07e+J1RgeGkQCltzCuFjWInOyQhqqTo34qh+nyUm67prpGZjBruW3FWlLqGvaSIKWZyHUggI1nsif0lgxk65L+/Cfxm1TOquB1811jJXUYeuU2uAxYYWQah6/VjbVH+6fgjw0pMlmBzpyTIffpCALfAyhTnRZaS0Y4qur6npEftsJbq/Yw1gQFBJV52kVqyaPj8i4EjkC9/PWXv7wABxEgZr7D88uGll1+O9L/me4JP0qJIytMC0q97pmtd71qf+btmMehfXIAN5CSDPixgbgRjcYTHJtAoYwGLFpvrjckP1gBd53s2prGnbIau9T3jSFSa8ULk6Rqb1AbhLnByALpH1xmXqNhUx6HeLy73l2egnjOQwUA9Z7P7viQR4jIgGxkd5F0KgJafBDvpd4YIy7yaIUG5Ag1ARaXAwfIoGGtOgmH6hgVAAAAgAElEQVR1MZpkFPlnLO5LZpNv5GeqHaAPso98xcRSzsZGHid2wTXkrRMJZCqwkJQ1Oek4Ir3ge+Rs8Xu+S0b7ruchTzEQ5qToEsEyAy3YCqxsbvWfgZrAQP1vO/B65CbAihRPEwy8p8xPNFBnIIOBgfpm530uwdZoesxm+Sx/q84AYwz7gRXgliiDiVYdd38bVwYDdXhjUO9p06aF079zeoyU3X77HbqQfh26z13kGWj4DKCpuQn4j7OboOHT3ac3kNwN5c+FySffyi5MGQqdPBBDITAc25pbY2agCwyMGDGi0/n/3Ho3A2gwcQkmEs3FRSAAsVryj971nq/OM9CcGUDB8h87/56iuptz53yXZs/Am51vhl/PmROefebZWHPl3W8XO2r2OHq6H/eEUwfcG/IQCFTMrXEzIFBfDErHSiut1Cmlb6q817hbDqyeBS1Cramiot/FGmQqa2C954H8NHzHAr/4hPlj0bG5DewZELMl/qpc5bWVnpouEk8g/iBVmm2l8Q2ksZhfsSNv57/o6MyVoAbS683Pkmeg9hkAZtMZ8Vxhs/Z5y1fmGRgoM2D/Y7o7Nt10006593PLM5BnoP1mQKyLI8FOw6Qa9u03C/mJ8wy07wzI1yNRVMeoUaM6+b1zyzOQZ6D9ZkDMgLPvAghzzED7vf/8xHkGxAzIENkxcuTIToFwueUZyDPQfjOQjxa23zvPT5xnoDgDNR0tTPmrfbGYw7raVBavd02l+toL+xr4NiQJkhxjQX2cgv0kEBKgkjNaLewbyd/vzzOQwUBz3l5ZNhbvWkm2klGVPu+un1rkre+Tn5L8uN7v7pXkdU8yNd3f/32/u+tT366pNrZK1/hMkKNYtlqeqTlvcODepSYwIL8+fyLFSfk6dVCsOFicHuklr73u2vDUk0/FhSYtsNzU3eXNXpDpVeoSrSEFpjSavW1SXqpaqPaBPNnqhueWZ6BdZyCDgea8eenZlTYvnu2nJBkjkgDJ3kcJyk4ou6A0vY7VpbTtRklpi/qWFr2ohP1blj9JhbpTnvp2jFRGVymFXes+cg8wsqRUlwpYRcJKTQZXzyFFuwyGu++2W1hhxRUrXitPADn9mwcfDMv853/G1PLlPBYyxbq/4kee3XFHdWacypIaXr0D45TpNYOCxq3TmsCAvNBcCOpPS1upGI8ykpWaBSV/v/TF8vbLaW0h1zuxhfzUP/nJj8OECRMXCAxIbylYStAEP+nw4cMbN8u55zwDLT4DGQw0/gVJ1SsvP3kjrW9S5KxfaYfVRQEIXDfz/PPD+TNnxsJCridLUyNb1SJQqVBdg3TsjqUv1bDkUdWUJuWtIJz0v4q+iQ+RmlhNCqmIARBGnyRUarhQyKlR1HfccUesSmvMY8aMCYMGDYryvdJRauNU4IghqVCdvgEYhYwSuDGOCRMmxPsACo64il1h5ClfDLiodeBZrVGpl3tiLRr/JgfmHWoCAx5dzn7FK6BaRScgy3I2KAuNla0ghpc7ddrU8Nk9PtsQNGfB+oFeF4R1kB9cCmHRkxKt5HzXA3OB56eqbQYyGKhtnhbmqptvvjmm1aWEWceJ/lcqnZWtgBCZSqmrDkuOYkAV+8EOpKZssVooSrynSqzks5K/QEM1Q83xUUWSGFKquhqDOggqyX7hC1+Ip0gUftvjs5+NRdlkKkwnSwABhpN7vnuJd4dvnfatCASqyV73cg9ZA4EPyWxSCWfFjchcgIi+8IzSJCs7j61QsdbcqBpL+QMERx11ZPjzn/8SSxir2ZBb/WegZjCgjKVFDAz4N3QnArnYVDckVCQv8VK9zJ133rnrEvRW0S9VRK+pFrbPUgIf/y5+nvxnRR9X2V/V3T0SxZb6PO+8c8Ohh06I7oLhw3Pxi/ovr9xjf5mBDAYa+6bINBYy2cNtmhq3qnLpLHoytcignnLKKbFsujoCCQz4vnLFKvytt956Xf1wd7LmWe3VXJ7odoWKVIvVryZrKhmqOJDGSKKMjZdcTO5gFP5/77tveODBBwNQ09PxUynaAQzXAjoSWXFB0BnAiFLEFL2qjIosYZ4VP9IAFiABE22s2A+ZCPfaa6/IGDBKc6v/DNQMBiwadA7fFlSnYiA0J/2uJlOUlwgQQLbXX399pL2k5tWklER3/fb//Ta8/NLLYa211opAAbLlf0L5/+Mfr0VEql//t0nQ+RYWGh9CXmWVVaPiVvIY5YR+sqhsEigXReb/fFUWmsWvChdka0HrWxUtrAKKyiKz6DMzUP/FlXvsPzOQwUDj31WqfFq8E2ub7Lnyyiu7ygqnv8v7QiliDBIYSBliy9VisQv87thOsrncyGdAAcC48cabwrrrrlPxge+5554oszEYYg+AE0qcLAcg/ud//ifWNCDjKW+ytZIL+P7774/XuS9Zna6ZOnVq1COKuok942oABpSmVz1WY3ACJIAD5hbLzFVN1mOfyfCc4bX+67XXYICCRh/dcsstEblZHKI9sQGQ6Y477hgDRrywBAag33322Sc8/vjjkTbiE0M37bHHHpFJAC7QP176BhtuEJ5//oXw7n/7tzBkyJBINala9YlPfCLSRcsss3TYbLPNI02mH1UCP/nJT0YFb+OgvtZff/24uPS7//77x3tKGTxx4sS4sKHN5M9CXUHeGQzUf3HlHvvPDGQw0Px3xYBB6XO5+inT35XAQKVRsuadD+f/11/Rz5+uZ/iQ1fz2jKUyvc/YE5+gKBCjiZ8+MQ/kLllNpopV4JrVh1oBBxxwQAz4KzaARewYS57bw7MlFpi8ptTpCt8FcpRHvuKKK7oYDQBpyy23DOPHjw8nnHBCVPx/ffnl8KVDDomsCAMx136p/3rtFRigVFnzlDOqxiKg8NWoprR/+MMfBgjVgtRxAgPJD0RRQ4ZQLWbASYMzzzwzvmyLgsK2AdYcNCj88/XXozUv4OaXv/xlmDlzZmQAfCZilh9K0Ms555wTgQLEi35S4pJPCjiBbgXmQMzGJsua+wM0kK2F5vcMBuq/sHKP/WsGMhho/vuiBFnHZN/kyZPni62qFQxgXSlp8kxflQLsnAiLRWg6OuIJqrLyxs4KqEbXM5i23nrrKFNXX331GL/gd3LaOAX/sd7FKGAHBPwlil+/ZLS/MwAZZhjd1MQ7MMb8YCoYaNgMQefHHHNMHJ/Pscz+Rp4DNxgBwYjGRI4z8nKr7wz0CgyILhXhSZmyxi1CcQGoHotl++23j3EF6CWLqugmQPVr0Cda/vLLLg+f2PQTUYFbSCJJBZT4PQXF+A6qCVLFRBSrVln4UGYCA8ZgwQMGUK8FCTEDAxaZzQIA6B8I6ex8M8yYcVY8jZBjBuq7qHJv/W8GMhho/jsjfBlY5E+l49G1ggGGEXlLHn7oQx+q+CAMKnKZEcYKLzcsBfnIbUqGY06xtb4jkp9cdbzPZ+ILnCpLrK7x+1tqiRkgu8U2FMEA44/F74diF/i45157htk3zY7ujVVXXTXeD9vs7/SNf3M3MNzIckAAcMmtvjPQazCAGeC/RyOhe7gFHIfx4i677PthxRVXivRQEQxYHPxGp59+ejySss0224SjJh8VVlxhxXnAgHgEyjqdUkhgIFVTothTmzJlSrw2gQEuBX+HMpdddtmu6ywiSBflZbH5DrRr8c+YMT1MnDgpg4H6rqncWz+cgQwGmvvSEjMpqBD9XsnvXgsY4IKVE4B8I4MrFZsjfwXyscYp50pgoPj0WFQyHLPKAHziiScibU/uJzBAjlPORx99dPwBaopt7ty5kYnAJsgVkNwErHpH07l0sQwaRphrQByX440CD8lqrmDgRUtxC5gCegd7kFt9Z2CBwYDEE+PGjQsCRSQigiYtHi+tDAYEf2wzdpuwwvIrRDeAoMONBm8U3vfe90XlTIljFhYGDKDH0FnOzG6++eaRbrK4bp49OwzZeOMYTGhTAA+Savj32WefFQ499LC3wUDOM1DfpZV7608zkMFAc98WNybrmKuVwq3UagEDLPltt902yjVBd9UaY4yVz6qneLtrjC8GngA+cQbcvAw4gX7uw9h6y5iaEWU+A6zIDOibfhAT8Ktf/Spa+u7LMBMrpg9sgj6LDbDhegA4WP6UfsoMCzwBEv7OELRec6vvDPQKDHiRaBsI0Ytl6YswtTjQ+I6hQIz8P9CuvwMMsmVxA+y7774Rvco4BWmi671Y/7egoUfgQAyC5kQAdMkdAdmKXE0tuQn4oD7+8Y9HpAhtcmEYE1eDMTjdINDRwhZQaPFCppC4+AbXOuXQ3Uaq75Tn3vIMtN4MZDDQ3HdCIYuqZ13LtlepUYrdySfH/8hBMlAcQNGNWu6PDGWkof8FEaZGjpPHZHcKKsQMiPbn5sW4ukYuAm4IsVuMLS5YjACWIblwuWn172gjWc4wcxqA8pf/wH38n+wVZF7McMiIJJ/NyY47fiYce+xxMTYsNUCBfBdLIDg9B3zXf73WBAa8eMoYfUPRyyoI6TmGYoE5voe+AQT4pviKUvSqxSxQhsIWEyAKVHRqyp4l9gCroG+L0ctmxVtMFDlkCtU6lyrYxjW+j/ICMoALR2HkPvB/GawwFSJzLSAK/zOf+Uy8n/9jKQAaG8dxHmdgjYkwFJGbW56BdpyBDAaa99YpcTkFKHAxV0X3p1FgLRlClC2r29l6xky5Dgs3KiOLhZ2C76o9BeseA0Hgk6spf4BjiwwkCX+4gN2XDGb4keOJ3icnGXMsdN9xmoCid53vUfQseUoe0CHvyX2B5uICUP6zZs2KCp+LeZNNNolDBQIEpDuhRpZjLyYfdZQiOPM8ClcCJsWcca0UAxab9+YG9p1qAgMmX+S+F2JBSpBhAVC2YgP8LvDj4Ycfjkc/AIGUbxuyBBZY35TvkksuGRU5KgrAgCL9m5L2HRa9v0OFTihQ4kAG9gEVxedl4UiLCbFaFI69yIYFmWIWgBT3ofRtFNGoFh0Eq0/HEF3vXr5jDGNGj66aX3tgL4H8dHkGQgTDcnTY5+Xc8Xl+6jsDZBEmUyIezGe5SBq5hkYXbM0QI3OjjBozJhpUqVHIQABlLmq/uwZgsPgZXphSRpxGvvqdRb/88suF5ZZbPowaOTJ8spAYKQGUX8+ZE8HJq//4Rxy75EniFYyfgQbYABqo/JR/xnFymRT1z81AhqejiOQ6BcSV4N9cxf5WKauhWjLAiGuAo9zqPwM1gYGU1Q+9kzIIVgp4KV5HsadMf+l7EKCF42X7m0Xvd0g59efzlFUwZSLUl3+nqlc2k2tStsJiNSx9inS1gQSjlJsxADWYAX3qyyLN+a7rv7hyj/1nBjIYaN67opgpR0YK2VOpFWVcUY4Wr3XcDiOKWagUOFjuFzvgPTudBfQlRkI/lPm73rV4WHLJf++2jgxmAHtAtjK4io1xSKmX5a5n8R3PWkwW5LmwBuaDPK5WOZacZgACSNgD+RRyq/8M1AQG6n/b3GOegTwDrTQDGQy00tto3FiwoixsND7XQzUw0rgR9L5nCYy4VbgQsCO1AJ/e3yV/I4OBvAbyDOQZiBnhuAm487KbYGAvCJlbBQTKSSAGrFLGwlaZATFojiCKR5DHJjO4jXszXWBgyy237JQQIrc8A3kG2msGCFh+XjE1Am7XWGON9pqANnxagEBsF99+MQ6h1abC0XVgpVoypVYbb38ejxg+QaYd73vf+zr5YlIhjP78UHnseQbyDNQ+A2JvHD3jU5bkpZUtxdqfKl/Z3QwUY65aWeYbp3gysQi5NW4GGATqUzgE0LHccst1Oj+aAgQbd9vcc56BPAOtNAMCeh3ZchTMUd9yYFgrjTWPJc9AnoH6zwDQ5Xiok4Mdo0eP7pTMIbc8A3kG2m8GpJN1RlzMQI7Wbr/3n584z4CCU5IEdowcObJTzoDc8gzkGWi/GRBAeP311+c8A+336vMT5xmIM5BPE+SFkGcgz0BOOpTXQJ6BNp+BmsCAhBQpYVA62iHoxHlPkaiVMkaZV4kmZs+eHQYNWit85CP9L1GEBBsCq6Q4dqylnDa0zddOfvwBNAM5z0BrvUyZB8VwaMsut2x41+L/yjxYHilZrDAQvy8ZlVIId/dEkhUJFpPRVYK21ASRvfrq32Mmwu6O8YktoxME9hWv87nkQZILpc8VjJPfQDIi1QjT+B5++KHw2muv56OsLbL0agIDkj7IVy0lpGxQFqogIyBAWkq5/dUTUPO6mBAC7SjBhQpYilz0pyabltSbqmfZaNJ22ji55RkYiDOQwUDrvFXyRq0WPlzydtvttg1fm/K1sNpqq1UcpFTuCvco0iZ/QE8BoE8/9VQ4avLkeHLEfShuRw1/8pOfxDTJjhtK214py2wagDTu6tEob5xayhQr5bC/Ufqu44KSaRDokC8g1Ty4++67w3HHHRu2226HsMsuO3d7v9Z5OwN3JDWBAekkKUNFg+SadiZZpUGIT40AOa+f/v3TYZ+994kvXs5/C8M5VgWGPvrRj8ZKV/2pQbwWq2IhQI1/52Qs/ekN5rH2ZgYyGOjNbDXuWpY5OaupNwAQMMbUX5k2bdp8GQNZ+BQ6OXvggQfGaoPdgQGpiBX8UZhIkSHWOsChbowqg3JNUOaMt2pggD6Qj8KPmjHpOmOnH4xzn332CXPnzo01ELAV6hMot6xwnXoKisKlYnR0xnbbbRefu8hSNG6Wc8+VZqAmMOCLziB7sQpRSE6w8sorx/7UApgzZ06sZAgFWmCHH35411llC8di6Y+Zo7gJPIuF7LkzGMibaKDOQAYDrfFm77vvvnDTTTfFqG6s67333BNGjR4dk+5cfPElYcUVV+gaKIZWmWNCXHIeBd4o2mpggLKmeLlvVQ5MJYS5GbiCgQ5MLpZX2eFqYABrSqkDK6595zvfGcekzxkzZsQSw8rNK08PMDilIv0x4KJ43JNPPhkL3Clup/m74kOAjMJHtbg5WuNtDaxR9BoMUPw33HBDWH311eeZieuuuy7mjlbaGFPgeNLrr70W7ps7N7oOPvzhD8fqhBZwKiwEUHA1QJMscclOsAo+UzzD4kRfYSHKx50sLFW7VB988MHfhEUXXSS6KyxgwEUlLN+lwI21uMCcp/QcELEFnZiM9ECPPfZYV4ll9bpRZq7PYGBgLf78NP+agQwGWmM1kI9aygooboD7VbW+b37zm/NkC6RE5ew/9thjY/l2Jdq7cxOQZazvqVOnxuvLTal4FWblmugODPzz9dfDE7/9bVhppZW6xkPWqnXw97+/Es4997zICnMJiEtgJJLt4gmAlW984xuRhVCxUVM4ThVcxYqAhwRSWuONtM8o6gYGVAqE+gAFL3rs2LHh0EMOCdf96EcRbUKS/O8zZ86MgGDPPT8fDj30sLhIfK70sMWBWVDRa//994/K2qawmCzeSZMmRWBhoYphgEg32GCDeDZayWMgRJs4cWJE1RComt/HHXts2G333ePffvLjH4evff3rkR6DwvnLWP7KcQIk0K3Nss6664bfPvFEpLogYeVEMxhon43Rbk+awUBrvXHWOvmHrke7X3P11WHlVVbpGuRv/99vw2GHHhYDm0ePHh3jCbAJ1cAAhTthwoRw5ZWzwr333hdLvy8oGKg0U+Sk8sj77z8+7LrruABYMA4VQvrZz37WxTIoc8ydIaaAC1bDLgMJjC4ynFGXW/NnoG5gAM1EoHihKJ8DDjgglpv87ne/GxfJCSecEAPxKHv+rUsuuSSiUI0CPv3008OFF14YWQOKn6LXF6Xuu/6u/wMOPCD8es6v4z0efPDBMGabMeG/1vivWLZ4zOjR4evf+EYYMmRILG6B2udPo+SdasBMWIg+s4luvPHG6N4AJFBzFi0gMenww8Ou48Z1xUkADRZ3BgPNX6D5js2ZgQwGmjPPtdwFEMCWkossZRH4DCaUvEh97kvugWf+8EyYfPTk0BFCWHPQoGiMVQMDTkVx83IRPPDA/SHEb83bamUGyt9j8VPigg8Ze1waXMnuh7nlEkhu4nPPPTe6M8hg+oGcB3oYg/Lik/V0R27Nn4G6gQHBhF4mnxEL3qKkXEWO7rjjjvElW+SzZs2KDIBSlAojWUgWjUhY/7coAAaLHzugofXRZNwHkLKARAtGcI37CU7kGrB5vvWt08IVV8yKi9DRl8suvyz86bk/RcrKtRYgpgIV5Ts/+MEPIqXl/+4NMAAr3B2oL2OxgHPMQPMXZ75j82Ygg4HmzXVPdyInH3nkkahgGTHY1vXWWy8yrhtttFH0sZ911lnRICILX3zhhfBfa64ZmQEug0oxAwKgyV3GFcOnUltQMJBiq+gAgCAZV5Q+Nyx5mhoZSxYLMExuD8/rWV3vRx+5NX8G6gYG+PApfsEjaHfIj8/fZ3xZwIAGmWIEIN9LL700UkSAA1aAy0DAHpBAOaO/NIuFT0k0KjAAGBBe+vf7uuuuG6n8I486Mtz405+Gq666OsYBaPoHOKBP1JQFj54qRq2KM4BQLVCbjgvC34GJI444IrISOWag+Ysz37F5M5DBQPPmupY7kVdkF7nKF8/wYcgworg0xVsNHz48WtzklGA9wIDhBRQU3QDkp1MCjK2PfexjMctkPcEAVyxWgoymzMlTp8yAD8cUKZnEDAA01pofSj997ljjuN12C2O32SYabbk1fwbqBgYE82237bbhxZdeCv+fvTsBs7Oo8gZewXFhGXfnA0bCGiEqgiAQ9i0gJIKsKuCwyI6CIgmQIJCAIEESRiRAwuKwLxJk8ZNtAIGEIDuIIMuAyKKIMOqnAm75/BWe9s3ldvftTvft232rnidPp/vet956660653/+59Q5AlUcXakHBjwi14EFPn78+KyogQCKmqtBjnQK3j/HT6Kh9wEEf998883zYsI8iB8ABkJxX3LJJZn+F7AYTRStBkkDFBbe+9///o7PnXig7C3mUaNG5cUoliD6BA4KM9D8xVnu2LwZKGCgeXPd0zuRo2KwRNtjULEDrPFqAxwESTNiKH7AIBowQO5RzmILAIu+BAPkLVYYW4EJ0AQOMgSNUxEsAME4MBcMQ+AF6xoN+7EzQPG5z2XXSGnNn4EegwFK0cuH+KKx9ilz/iIUkDwElGlnYIB/X4SsEwNOCaCLnBjg2xe8d9RRR2UggGGI7IZ+d3wm3ASOyMgMGGDAZuBHc+348ePS4YdPyGMABCw+G8HDYiF8RxwDOk1gDcQNMfsJiWM3bBpsg+cqYKD5C7PcsbkzUMBAc+e7q7sxTqrJ2x588MHMrrKkHb1jeFUz//2/3/0ubbf99pkpYDRhN2vLUIt7EtAHMAiG7ikYcD+KHdionsyi4LlsBX0z8uIkABcslldwt5Nd4ggYV9gJbgqujggUZBBe/t3vpr332SfHbJG5pTV/BhoGAzJI7bLLLjkLIet7xRVXzMrSMTwKGtocM2ZMjliV2Qr946V7+agtEbHVRkGz1B11sciDtgc2LFoLB6W08cYb55TAAv7GjB2TJh09KUeo8vtDwMDA2muvnRkGv3NPWJhACXRsDBYxkGFRAgFx3lVAoI1h4QICQIkFjSE46KAD0+9//4cc5XrTTTdlQOA5llyy6zSdzX+F5Y5lBhZ8BgoYWPA57IseGDyMHGynuCdsKVlJ1jqSR/7UNjEDIz70oZyYCHvACKpt4qLIWiezBF7H0cXq9xhvgrcxDwK8I38AlwXlzXonP8n3aFwE2IDDDjs0ffGLX+oACuQxnUBO0wFOk5G/jDJ6wpFIwZAa8DP9tNPSMZMmpRkzZ2bgU1rzZ6AhMIDmoSTR/xYlaz6SDlG0UCjEus022+SzopAjBU7Zy2zFfy+6X5apQKyOovAvQYKuC7RpYYhE5ULwf/4xi3f40sMzENA/8EF5AygUNATKsjc2QYQWnuA/lj/0aeEZM4CBvcAMAAAAiBTDGAUL2kaESil/yT3k58Z6uD9fHCpMf4MxgVLzl1a542CagQIGWuNtCVbGesraF6eXsLCsb0l66skexg3gQJFjZesFEJLTJ5xwQjaKKGlu3GgU95133pmZWAHeAgCNgfEnlwDWVewUg+jiiy/OLotoTnyRvxRJuAjiM8yvlO5xdFvq4hEjRmR2tuqmNbbxh45Pd/3ortx/lXVujbfSHqNoCAxIfAFZQpyUNsookgQJVBGhWps1Cv3u5UOgQXtJ/hP0l1wDP/7xQ2m55ZbPCr62UcKCUDAPaK/11lsv38PCxE74Pz+UBQdsVANmXAOFWtQyXzkZUG2CFzECxubz6sI0buDHM1P8fves0HIt9dYeS6Q8ZTvMQAEDrfGWKUZyz6kmcpXy5ELtqrHcpRnGmJJlnWXww7qyugX78d1Xi8459k3mMZCAAzKbUtYnV4BCQ9wT5KW/RcPGvvjLX2Y3RWcZCxlTc+fOzcnfHPsORiD6YJhhCwSGO4lWj7VojbcztEfREBgY2lNQnq7MQJmBAgaG/hqg5Fnp3K8YUpb8QLOcwI/AQxlsuYu5n0sbmBkoYGBg5r3ctcxAS81AAQMt9Tr6bTBcqQABptdRaq6IgaoFgHUVYEgJOUUmqHygwUm/Tfwg6LgDDIwdO3aeX0orM1BmoP1mIM6yE861dUDabzaG9hNzrcq38stf/iLHei266GID8sDGIGhR3NfSSy89YKBkQB6+BW+KnREnMmzNNdec5+wn/1NpZQbKDLTPDIgaF1hGOAv0JZj5iUsbujPgnUcytoF6SiyAo+PiE4reGai38MZ9sUOCSAWZDnvb2942T8CdBVJamYEyA+0zAwK/nL4RKCs4bKBo4/aZ8YF/0iodP1DArxrAOPAz0t4j8C7sf3Jg2Ec/+tF5jq8UMNDei6I8ffvNgOju888/Px+hdY5cLfrSygyUGWifGWAASEzl2P6wMWPGzJN5b6BQYvtMe3nSMgOtNQMEgeqd119/fQ7oqqbybq2RltGUGSgz0B8zgBmQWGrXXXd9AwwoNVlamYEyA+03A+U0Qfu9802zAxgAACAASURBVPLEZQaqM9DQ0cJgC+r5eGp9T7Xf8XtcL0hEggkZsrpKLCEFp6REEgm10lETLhTjlzhJfEVpZQaGygwUMDBU3mR5jjIDvZuBhsAAX4L0waGYZfSTScrfn3/++Y6/ywS4+uqr50x9Uvv6J2Pgu971rrTRRhvlLFlqFHzyk5+sm38aCFCJEF1J2UorXJutqnePueBXycGNRpE3XEEQ6YlLKzMwVGaggIHB9SYFeklDLGNgNYNqZ08ho6trpBdmzDDMFHEjnxldURCuq1kQYCY3gOh/8rlaBr56ne+Q5YoWRZ0ExxllOPz3f//3hu41uN7G0BhtQ2BAGkr5+5UQtvCkspQ+8oc//GHOha1cpZSZ/i9dpYXlGjUBfEfuakU0pADmm3SWsVq+0lRiD6QRVr7ynHPOyf3Ik90qqSmlN5ZT+4YbbsjFQNROKK3MwFCZgQIGBsebxEzOmjUr3Xnn3PSWt/xL2nrrrbMs7qopTjRjxoy06aab5rwCYkQuu+yyHB9Cscv6J+lPV4GjFLy6CWq/UOyj1h6VDjrwoJyTosreyhtA7mNRKX41DtRNMG5y3XcVTOoMSAyOtzA0R9kQGPDozz77bF50EKVCPksssURW4LJZUfaqC6pmGEUyIE6KHXNAiXr5kKUc2IpwdKbkRTRvsskmOTOWgMZWAQPmQEyFKlyATAEDQ3NDtOtTFTDQ2m+erH3iiSeS5FDYSRVWFX6rrbtS+xQMte233z5XDjzggAOyoabgnH5UmJX1j3GmSqJcE/VYBoDhtNNOy4BChVg1Dh544IFcSVZq47hG/QGl5tUYsJ6mTp2avyeZDZmvmuwXv/jFDAikIK5XUKm138LQHl3DYOD3v/99rtp30UUX5YXB0te4D8aOHZsR5ve+972OalgoKBUJR48enSn1OLssHab/1yp5f5enGuj41Kc+lZkGg4vv2QziCPzjOghk6e9ARrALUSwDaIl4BX/zzxgh1kh24Rrf82z6QWlF2c547f6OXnPtHXPm5KNXX/7KVwoYGNr7ou2eroCB1n3lZNBjjz+W5e+TTzyZrXNF1LprDDHKl4UOPJBtCg5R1tgA5d9R+YwuQEElWAq+tuAQdwSZz0hT7fAXL7yQdvn857ObAUtBVvs/I0niGsWLsAxcvjvvvHMuCa8Ms/urZivj4E47fS6NGze+MATdvcQmft4wGKA0UUsHHnhgXkwoIyiTL90iEQ+AAZCrgE8KIpw8eXL+GyqJD4mbwEKxkCl8jXK+44478t/RT0CBspiKaFTdBCp53XLLLdlP5r6qGCpvjIEwLjQUkLD++uvnxaz2tr79TYwCX9nNN9+c4xhGjFghbbPNtunll1/O30OjeQ5lkC1UrIcGBLin2Ajlj33/8ssvz0xIYQaauErLrfp9BgoY6Pcp7vUNGDsMK8YWa5vC7q4xXpSdp+Ap+0gx7Rw5ml55eRUCyWp1CsjNzTffPJ144ok5xqvaGGnkd5Sn9zs5D1ig/oENsn233XbL9yGPNUyAcsf6517lLtCmTJmS9cfMmTNLPYLuXmQTP28YDBgTRbr77rtn3z7f0MiRI/NLRjNRlF48KgklZBECCOIIZDWjzMUaUMgWIoWqXX31Vemww96IKVh55ZXz4kLHAxxQJ2bgtltvzda4xQoAQMbKDNsgWIdQ0Msvv3wOUIRKgRA+McjU/QTJQMLqax977DFp/fXWT1OnTUsvvPBCBiaex0bxfJMmTcpMgc1kAxKUmqpaFr20zQUMNHGVllv1+wwUMNDvU9zrG5A5ZBQqn8wjs5Zbbrm06qqrdgTo1XaOFdh///2zsQQMsMrJNMWJyE+WPteBxpDSP2aUkl588cW7HCsQoG8yW0lkTC9Z7W/cBFgIjTFGPgsIF29GfmvYZAHlXzrwwHT4YYe1lCu41y9pCFzYIzDAchcAyN9DMUKHFCM/P98U9EjhOmkgUAVIgBY1ixJwQLNjFyxqlBHlCzxYLBpL3QLSB98W63zLLbZIwxZaKF+vxvdv/vd/0yfWWCMvXvdj0bsXX5bfUVkCGAXXCJqBpm0GSNTCFyxz3333pT333DOjVMADipVwAQvgM98DbgTAeE5N36494ogjChgYAou/PMI/Z6CAgdZdDWSloDxGDoOJK5Wy32OPPXItCVR/bcO27rTTTumTn9w8zZx5Zv4Yw4D5vPXWW3PGSYpcw3qKK3jxxRezYcWoqtfIRPUrML6YVPFilLomdiAYU8ZUNDJVn2eddVY2zDQuBcwupoBMbuQ0ROu+naEzsh6BAcjyilmz0p577ZVWWWWVbDmzulnJlDhgYNFCsIJT0P3VhWURWsBoKtew3AkhxRH8XaPEKXBZ0CBaTIJFFIgTraVZcCit6dOnZ8ABfUKqNg4FDqBY7OIDPKQNY6woNnEMrhUwAxH7DIoFTrgpoGbo2QK2abARmqOFAggBosIMDJ1NUJ4k5X0IbBPcgndLa40ZYEQxSpxmIlNZ9lhY8QPkKRnGoKo2cprM83fyinzVXnvt1WwgzZ49J7/nOIUQYOCZZ57JTGjQ+bUzIICRbHRfxp+CVgxDbl/jcBQcUDDOKhgg5wWTG7vGaGQsiv/yGZajtIGfgR6BAcO1YCxOyNRic3bUQqDEKV9WOR8SFAotVoNRHDNETQEDFCo6CZ3P4oZMtccee6wjwMXgfCbyVSAMsBH9ARose9f73DlaSFiEqs+g1uuuuy4r+KOOOiqNGjUqzZgxMx111JE5fsA14hSmnDglLbfsG4sR0PAPUgUsMA36wlJoomIt6AIGBn7hlhH07QwUMNC389lXvYXiZIlzY7KoKfurr7467bPPPmmzzUanCy64cL7bie9iyAAMDCAGkubvZDS56OQXOa45NggkCKTuSjmT6YADNwX5SjYfccTEdPjhE/LYyFT3wpxGEzzIqAMayGdNH/5O1nMvMB5LG/gZ6DEYsKAmTpyY3QSUJiGCOrdoKVARpPz8gkgEFlZbPTDgzD6FHnkHLBCWO3RqEUGwfFH8TRdccEFOaKRdeumlGYzIfwD9WqgQMLYCaHAdlwQ3gDFbcCg2fQEUFuy5552bzjrzrBxgGGdl0WDAAoUPLPChYSoKGBj4xVpG0H8zUMBA/83tgvQsEBCbKV5LPNWGG26Yu3vwwQczW8o6J8SrjbwjB1noZHVVOZNrPhM7FSfCAA0yV9I49+guZsC9xIAx7LhYxYdhTf3OLYAdDqUPfDgKyeXrHhr2FdvLgAQGIrhxQeapXLvgM9BjMOCWXq7jhMAABCrHAGXM0ufD4kJAOdam7EUvBTMAQFgI/PGOuRiIQMNgBkaMGJEDCdFRlDWLnWVOoWuQqftBp4GWgQ3AAI2GfQA0RMyiqCh4FFigUMDCdzfacKM088yZ2R8nMAYwQXXp13EYLgcuCQDHgtevmAcbrZR6XfAFWHpojRkoYKA13kO9UfDFs7y5RMPPL7aJ4l1zrTXTjDNmzHcZlydjiKzCZIZy9iUybJtttsmsAfkolkpAuLirYFrFYsUR7M7SwT/11FP5+9gFACOCy53EcgrMdU8//XRmHOgGuWkwxpo4MPoDaMFQkM2lDfwM9AoMOFoC5bHSIUzoVAtlT+FX0ajPUFBevIUtWYaFqB+gAGr83Oc+l31Y999/X5o+/bQcVOg7Uv9Cq1wR/g88QMt89lwSaLA4CsN1QcE7aeB0AHbBIrSBxAboJ/IICJbBEtgcwAgAA4hA3sAA94LnEKyjTycnoqrbqLXXzlGwgmcaSeM58K+5jKDMQNczUMBA664Qx7RZ0owerKcYJzKTj/6bJ30zjdnyzRkInfcXVM1QY7BF4xIgCxkyXKCUtzgAQIOBxdInq79/zTXpg0stlZMMkbfABzmLPdC4KchTbKwU9Kh/RhM3g8/EfDG+uA6ABeAjGmPNUUaMAJbCkcXSBn4GegUGDNsRQsocFR8KkTJmrX/2M5/J0f7VRtFafFAo5EnxQ5UQpdgClJFFLoHFQw89lKkqoIHC5SOT7IjlL9kQhb7ssstmmivQpntZtHxTzrU6xqhZeJECGZiIBpWi2rgBbDbMg4UPSQM30KzgRfcVOCMQ0kYwXiDD2NZYY403JSka+FdaRlBmoOczUMBAz+esWVeQVZhKSruakI0BI5YKo1rbyEAxBU6AMXjCvep73J8YXCwpmXbpJZemnXfZORs9+nKaiuUOSAAIAAR/P7kLkGBJsahkuPFE/RhB22IGsAKMxRtvvDHLUkadU2DRsL3kOtewddcq9Wea9T5b9T69BgPQo0VaTVARVQm5B2oz+YkcRQ9FVkCfS6VJ0Ys38I8vXwCgvi1e/UTAoKhaCYd8ZvFAk9UFHhPsHiiuGJf+BRda5LVZD33P990bUnYNoBLUGHBhI/iOe7mev0tfJZVmqy7pMq7ezEABA72ZteZdw/J2osA/MsqJD9R+PSAQhhGDjVFEKYd71WfkNKOGccWgw7A6ERBFhRwhxOKK8qe0fZ/L1jXut/zyy6WVVhqZP6/KefKUQcidS+ZiB4CH2qODwURgFiI4u3kzWe7U2Qz0GgyUKS0zUGZg6MxAAQND513Gk3CFcr8us8zS6ayzzn5TmuGBeGKGF8YBKyyeq9ZoHIgxlXu+MQMFDJSVUGagzEAOlBX0y+db8gwMnQXBBcpf7+SB2KnOmIT+fmIMLdeFBHDYCLEP3RVZ6u8xlf7nn4EOMLDlllvOE5TipZVWZqDMQPvMAFcc/y06GT0sWLa0oTEDXJ7itAQEfmyVVTJtH4nbmvmEGAFZZsUwiD8oQKCZs9/9vawT7h3H9YctvfTS8wSD8PsUQND95JVvlBkYKjOAquU/dnJGkG0R1EPlzb7xHOKhxBwIisYMdHZcsD+fWsyXeC9xWdYbPVNa68yANSKhoEzCw97ylrfMK1GdrfNyykjKDDRzBghrgWJkQMmf0cyZL/cqM9AaM2D/kwPDNthgg3miPAtia40XU0ZRZqBZM+BosKhzxW0cDXZst7QyA2UG2mcGGACOnMoDNGzMmDHzHB8prcxAmYH2mwG5OCKpVgkgbL/3X564zAD9L3dPAQNlLZQZaOMZKEcL2/jll0cvM1COFpY1UGagzIAZKGCgvdeBoHH/ehIv4vsRjNib69t7xlvv6UuegZp3YlHLovXSSy/NF3UbsRR+2jD+SZlcr8KXLIUKeYje1WRLHD58+IC9/RizAcimKN2z51x11VX7NZOirJPSlopkrgoNc6cwlH/Njmx+5ZVX0s9+9rP8/hypky61tqDWgL2oAbxxAQMDOPkDfGv7VLl2waNSFJMRUgvLB7DCCivULSQkG6wU81xKsrEqZf+TnzycVl75Y7muTGmDbwYKGKgDBuTmdiZW3W8bQpOu8x0LvyNJ1fnYTx/LylTub8WOahUaIKGAkwQuojNVCTvuuOMGZHWoHKZEaaT9VDxEEhJBY9OmTk1bbLllj6yBnjwEoeLI2vnnn58eeeSRfKmjRWqZK2+tUEmzwYA6E4poGY86F5KfGEuzx9GTeWzGdwsYaMYst949GC6qujKAVCFcZpllcuVWx8yAZRHmPgfco0nTrvgRMKBYEmMHOFAJFtAmE4GI0gbXDBQwUOd9segVTlJw6dGf/jQjZmWbVfiyESg4xTdUBfOzVpGwxOXx3n777XORoz322CNX+Gp2o4wVDlFXQeYvbebMmZkSpghFjstM1hNqsCfPADCxOhSDOuCAAzKAUtxE0RWFSwYi+Yl3aw6UoZaLXfEsYK2AgYNyBkKlb0sAYU9W+eD9Lll2yimnZMOH8aJInMRTKiQ6WQa4M3hUlpWhMhpmUdS5v6tdEPLjt7/9TTrqqKOz7GMAkJelDZ4ZKGCgk3cFKavFjSVQoEiFQ0euJGZB+dssWAJWZhRTouwgae2FF15IW221VabklUJWTbH22GYUbYoh+L2qlPQXSaD8Pe4T36/ez+c2ZVxP6V122WV5w1L4U6ZMyZdhKi6++OL01re+LW277TYdxUl8Vu0vXCFxr+rY4x6etd64aqeUgpEj3fdlH1ObvbucFtWxeO6Yq9qEWDGWav316t9i3NGHsV144YW5FnyAAXnSCxgoYGDwiO03j7Tqs4//18qT2qtUZbUPGCqbb7553v+OmJ544onplltuyQYDGQYcKkusySAIPKsvcOihh77JkCD31llnnbTjjjtm1m0gAP9gfo8DOfYCBjqZfXm0gQG+NGCAUpc5i1IfP358psVY/TYFRfPaq6+luXfOTXPmzMmuBcDhm9/8ZmYYgAFlmtUYV76TUlxyySWz68HZTqk6o4TyiiuumBUTpX3vvffmKmW/+MUvcmyC7HDoN/fjivC5/n2uMpha5DYuBUjh2ozovk033TRT876jX9Sg+6277rp5nO7Hlz579uz8nMbPStAfetB4CQP3dG9+RVXJ7rrrrvSBD3wgC4dqKemuwABQgBnoCgzIVObMOyAG1KiqJo2q+5uvcN2wXFgmvsOq1bhDpNP13VtvvTVTmRphp+Sr+6Izd9tttwIGKi+quAkGUgz3/t7W/vMvPJ+efOLJrJjtWzKLa1CJdZUD6ylkMod1T4bIOiczITDARcBwuOXmm9PCiyySZaB9w70ICJBpZJI9zD1QrymrbO+RQcZQ2uCYgQIGGgQD99xzT95kl156aabABJ2h2fjeNfEB/GdocbXAKX0KzQYCBs4444x01VVXpSOPPDKzCxQcpWTzXXTRRZnKh8p916ZmTUPo/OqAh/gFG9NGpQQnTpyYHnnkJxkg3H33PbnEKIXnGkBDXAD6D3thM/OLU5I/+tGP0qxZs7Ii9F2WOuU6efLkfE/ghoIHej7zmc/k+/j95JNPTscff3wGBkqXugdBQnEDGtOnT39TieiY2ioz0B0YAFRQl+h7AEAJaWM2bxtuuGH+qT47AGM+TjjhhHxftdgFKhJWxsc9Mnfu3FxvnVvHezB+wAgzUMDA/Au/gIHBIbBrRylAd+q0qenK712Zgf3KK380PfPMzzNVv9JKK6Vvfetbdf33QD9WYNSotdLpp5/RwYwB1dttt102Xih7cQRkAAVPxpx66qnppJNOmq8kcj3wz71Apuy7774dMnJwznD7jLqAgQbAAGQ9atSoXPBj+NLD03XXXjdf/nYKcf0N1k8PPfhQDp4RR8CtIKaA1R5uAlaqDcii1h+aDsL+6le/mjcM5bzXXnvlyFxKi4UvUOdPr7+eNtt886yAAQeoHg231FJLZX88a58S54enSCnnhx9+ON9fVDB/nzFhNvjL0XvAgJgBSSaABspRf9A8AAI8ADTACn//PXffnbbdbrv8PKNHj87gwPVB+WNJOmMHegIGCCM+SwDEdRgawglj4tm5bzARFP+2226bhRPWhNDCCviJ9pREB8VpjD+85Zb0H7vumt0lYicAq+ImKGBgKIh5+8Aet0ewXpMmTcqMn71CaQv+IweqDQOgKI398KUvfSnLhmhAMyWOlSMvGB5cogwSJYe51AB6oB3riG2sPT3gWjLC/pw2bVruo7TWn4ECBhoAAzaFTcPSt5FkaqsWcxGZ7pieZuNQ/pQWq7QaM0BhUr4s3bXXXjuDASwDq6wKBk4/44x04Je+lFZbbbUMFkT4UmILLTQs7b33PhkMRDlSytC4BMSh+gAKVjIBARQYG7ARAYS+jzUABgAHG9uYVKtD6bkfxSv4EZPhPsboOfyNcuZ+CIBB4GjAh+vqtUbAgHlFeaIujYs7xJixKCrqsVIAI6AHWABgzAsrnyvD83s2gGTLLbfMAZ/m39+BL7Ed8XwYjQIGChhoffHc2AgpZvLk4x//eAa/ZBM2LJg9wLjaGBmYP3sYW1bvc/udnLFnGEP2IpnGOLBXyRTsA0ZTH+4fcTfBfALnAhMB+9JafwYKGGgADFjwTz75ZFasp51+Wjrn7HMy2sUIoPT506FvoIHC8n8bgmX64x//uIMZaBQMCPqzqSlEVi66XLOJI4jQePj65syZnZ566ukcjxDUf6NggNUguh/dLl7AhmbpjxgxIlsawAAG46abbsrPDukDA9wZhAGLIkAG4dFZ6dtGwIDYBwFL4jG4XN773vdmBsAZZkLJOwCyVl999WzVEHSEIKAASL1j4YXTERMnZubCMwEn/Kef/OQns/DSxwc/+MG03377ZX9mAQMFDLS+eG5shPaBoL2VV145A2kM4W233Zp23PEzGVzbI9XGvcndaB/7Pkq/qyaY0D7HOth/3KEUh2vJELKB6w4417j2xBWRB5jL6rHExp6ofGsgZqCAgQbAQJwmoJj429V8poAoS3469D/r2t/4ziktSpNlWgsGKCGKO5gBcQOs12AGKHL+bhY3hM/nB1xUTxIAIeg3VCDFB4H7DmXaE2bARgYEKHkKn+LHDCy//PJZEfMRGifQ0Z9gAMhhpeyww/ZpxoyZmaXgsgCEPFucBDBHwJe4DGNG93MRLLnkEun88y/IwVLmHTMADAiA9IxAQPQBsDlNUcBAAQMDIXD74549BQPifihytD+WrxYsVMcoTwnXG/lCxokv4sLE1NlH9qg4HnuW8aMJ3sVSiIviluRKKK31Z6CAgU7eEUrM4o7TBA//+OG0zLLLZDYAHc/Kp7RR7qxWSpNS8zcI2hEbVim/uzgAdJmshPx0Atsgeb7s004/PV8DcETMgI1FWemP0qOgAREbkzIEJvRpHGjyV1/9Y/rUp7bKvwMRNi9Lm/VMiWMaBNqJLbB5jRlwoCgFEI4fNy5NO/nkfLohwACQwSIwXmwHUBPMAKowmIFwE/hcwFK9htI3ljha6B4ReOn7wIYx+TsWgdViPiYcfnj66j/mFwhjebBMNEDIHPBxfvmgg9LUadPeONVRAQpiLGbMmJEDOgVSikfgT+VC8FzmVKAiQFSOFpajha0vruuPEBiwrjEDjIdgBuy5ww+f8CY3AKbMPiMn7GPyql4Tj2Bf2rf6JTNefvnlfIJH5k5ggAuRfCEjuO80QFywr/gCsUUlZmBwrKwCBuq8JzQaxcuyp8z5zFDX6HrKBkV/1FFHZer5v879rzRypZGZVmepoqahYcqKIrLxWNyUGQVIyfseRuHLX/lyOnPmmXnzUEyyFIpNoLRHbzY6zb1jbr7eiQG+OycaoPkb//vGdOwxx2blh9KH1mX+0j9rmA/PaQfCgL8cqNEHus5ziQ6mbEXeU6jiCyhMjUJebtnl0nrrr5eFgGdhaQMg2AKo/9DDDk0TDp+Q50CMhCYOQoxDbZ4Ec8k/KRoZuFl//fWzAAk3i2cSdMmvCDQ4smisqEZWv/Hp49777k2nfOuUDsAhinrnXXZOjz7yaB6beYgGTAmINI/iGPhEI90qK8Z93FPAlecVjNlfiZcGhxgotQkGy3uqHSf5ILgPgwbMcy+yxDF9rHnxSGRG7fFC+w4gDvbsTf3+7W/p4ksuyaegHCuMY4TuR66QA1hNDAM5d80116QNNtggdwN0vwFE3nBRdJdTZLDO/VAbdwEDNW/UYhd8Q2GwIEO5LbrYomn4UsMzAMAa+B7lB1VLQiQoTRQuS5xicZxPtC2FRKlR8qxt8QWUPoTtusWXWDw98fgTWVF++CMfTsdMPibT9BQcCk9/Autk86IYBfxRhDa5s8Ss8Qj2C+uc5a5vmxUTgM2A5ilzvwv80ZwaoNABGC4PTMFi/7pYWvjtC6dnfv5MdodA+0AHJcqCNx8UN1cI68IJC82zsTKqZ48JKUKCBeGEhGbeACFgRW4DPn6gg48ROHE94MRHaY40z+KZsCnRWEMR1GTc6P9owANLBugAKnwGkPF1mkvBhN6Nhs70d8cR27mVo4WD8+3bPwJnufTsne223y6tPWrtrKQfeOCBvHcAcceOq0CdMgeSGQeUN2Ok2jCLYgrs/zAU4nNy8eijj85B0/KqMFSwmpgD7bjjj0vnn3d+jj/CmJY2OGaggIE6YIDf2WahRKrZ9iLLXWTnQ8ujon2PQgMSbC7KU/Dfiy++mIGBYDj+fwF+wIGNxgIW+e4z94q+bV79+p2rgcWPjfBdICHodX8HTAANyplQeOlXv0r/Z/HFOwoAodApPdej9TRjjEYxux8rnQIFMozfvfnsKW2o3mfGHM2zEh4Yicjwx/JA42McovkcWKCAa7M0RsWz6lyGb9/1GBnPpBlHbaEn13tPxua+tTS/e+vDOzAmgMcRKADDdTEe4zc37U5lFjAwOAR27ShR+VyW1rM9YR9iBuxzcsn+IHus8eoese6vvPLKHKuD4ufSrMoFe0cslPgAcqva7H+Jhxyf5pKIGALf4Y7D7HHncU2SZaUNjhkoYGBwvKcyyl7OQICOXl7eNpcVMNA2r7rjQSOnAGYAs1CtJRBp1WtToFcBA6Dh83CxuQZbh1XlJm13tm2wragCBgbbGyvjLTPQDzPAQqQUxMaUQkX9MMEt2iXW0BFhRc3EFmA6e9P0wy0pXkcMARaztME1Ax1gYOONN57Hn1xbCGZwPU4ZbZmBMgM9nQHWnXgX+RcEhFaDMXvaV/n+4JsBLoMbb7whveud70prrLnmmwqiNfJEXG+SqAlILNUKG5mx1voOF5JYOXEkw973vvfNExASFa9aa6hlNGUGygz01wzwLQtUFdApkFMgWDEK+mu2W69fND9AILanGojbk5G63j/xOdwHpQ2uGbAGxFM52TZs+PDh80SNhq9ocD1KGW2ZgTIDvZ0BQamsAtadQDIBZwUM9HY2y3VlBgbfDGAHBZs7kjps7Nix8/gMSiszUGag/WYAPajmRokZaL93X564zIAZKAGEZR2UGSgzkI+YlQDCshDKDLTvDBQw0L7vvjx5mYGOGShHC9tvMXAJ8xUPVCrugb5/+73xrp+4aWBAcIlEOxJY1CaxaMWXwn8qocZgGKv54+MVAMb3I4FOsze4o0myAkqA1O6pfVtxPXc3pgIGupuh5n4uc6bS5C//+tfpIyt/NH181Y93DMBevJ6ZrgAAIABJREFUl1RIVs/a9N+SDgkC7WoPul5KdRlLRf/XJgaSqEt6cYWGJDXrrEWa8Ed+8kiuzyIlcm0CMApfxkLJzMglKd0l/9KkRPYcahiUNvAz0BAY8NIcG4kELrLoiTqVMU66SdnhanNf1z6aTHQKYyhgIWe1xdOqjVJVoWvFD30oLb7EEnmYnl1uf/UKogqXDIHSC8sEaNFL7yvtZzULX7Oe0QaW8tjYFAdp1hhkTzzv/PPTVVdemTbeeONctKRkHWvWW++7+xQw0HdzuaA9UfLcNrILUuoUs3oiKpo66eFMv3TgagZEoCdQQAarxSGVeWfy2PelEJbqXJEyNQSqRcMoeGW+pR6XmXD06NF1H4fMk/JbGnP1RqQel7VQqu9IXyxdunTnxqMfhdo8m1TJ6ijIeCrNOXDgOoGrpQ3cDDQEBqSFvfqaq/MCeuXlV3L1OsocSPjjH19N++23by4M01VKV+lz5a4HHpTsbZay6s3UyqClFDHwYkM4fw34yK4lB3/k4JZ6U/5tue2hcdX25M/vDhj1Zky117AcWOPO9GIDKGUCQ3pjSUSaVRxEnQO1ART8UTshiiT1xTOWPpo3AwUMNG+uu7oTJatwFhly+umnZwPEvhbYSf4oiKbqKWCgZLf9rgEOLHDGilwR9ZhBQACw8K7VK1B3oHqUkJF37rnn5s8YeAqMMd5qm36u/cEP0iHjxuV6Iu5p3AyB++67Lweiqj1iHHQGYCGRFXDgnmqliE/xHeAA+MAoAAbV2iat8UbaZxQNgQHTwVpW5UqOescP5Mr3Qln5zz77bC6dSxl0Rk+znL14tPtA0NiNvlIbAupWaEj5TsDAxmNxX3bZZbmwTbXdeOONGTTYRCzjZjVFeIAB96b4uWFsNkLEhmqWm4BggPjlIsemKMJkk5c2uGaggIHWeF8s7R122CErUcpVc+Rrk002TqNGrZ2tcTKJBa8qYew1oJwSVyVQQbJ6jZwmowEMWQKr7Kx9zOhhtVPsjLfOwABZPuOMM9Lx3/hGlokMINfb+4wnLDJ5eeihh2bmAEBgtBizMWJTH3zwgfRv//Z/8jAVeSPHnGihY5phTLXG226tUTQMBtBAqthJSgAMQHIsYy+cdaxyHoVIMfEds569fIsk0KffLSS0FGXlM5RXsARyZfssFoPv+lxftcqN8qMMfbf2c5/FdQrWVAsOuad+/S0SLOnb3/SlOIcyw2eeeWa29m0MTAgWhOUPGES+bn2zwsUX2DjVRaxv82Asivp0ppw9s358p/Z6nwEnaPdqjnDleFF8hMH48eM75s/8ShxiPmvvh0moN1eWo7lCR5p7/3dtLbPgOSB6n9U+D3cJ5A/1F2agtTZ4o6MpYKDRmerf78kESakqRXzAAQfkm9mT/OoMsksvvTTT6RR5KPO/zftbuviii7MiJofq1QQgj84777xs4KgbwJ1ZbWQYww7zqfARY6MrZoBCJwuVLT7zzJnp1Vdfy2XByRD9a55B5cPPfvazmUEgJwAdcQNYg5B3WA3Msp8YRmCltObPwAKBAcoOtYMmRm3JbY0tuO6667IP6MILL8zKkN9I3flZV8zK1eP4tvmL3Pyuu+7K5WmVuVUsY+WVV84KloJUFhNqtOBQ8RgFi1r8gXvKmvaXv/4lrbfueh11s31ffmzKnl/K/5XYpFQFMFKqqC+lgFnSFi6Ao8TtHnvskTfAjXK0X355x9uQc9ti5QtT3zvydwvC2XfffdNRRx6ZNtxoo47vU+IAErrstddeTR/60IoZkXu2COyx8KHma6+9NgfzoPxsfswDYHLhBRekq66+Oo9ZBUHXK0N82223ZfQsRoACNm6b0j2hdECAQPHTXJlnY1bOdKGFhqU11lgzzz/2QB+33HJLBnEAkI0cFgPBwKVD+WN0uE28K/cxnxC+aoI+L2Cg+Ru3r+9YwEBfz2jv+lMSHRgg78hW8oIsJH9UCgx5Vu2dbMMIkBtkZj1mjhvRO549+/b06KM/na9kMSOCPCUHXX/ytGnpkksv7RQMuLfAP3ENZNgmm2ySq7Q+/bOn07Sp03JZdQ1bwWAhp7feeuv8N8/D/VF1BzBgGFrGAOyQc6U1fwZ6DAYeeuihrOz50AWGUBqsafQS5cMypKyVsQQWvGhgADCgrChPpS0hT4Fu6Ch+MAuYgrzmmmsycuQLg3wtOkpVH+5FMUGaWAk+NBSUzSMOAdUEjVLEaKqRHx6ZUyx+eKWRadTaa2eUClBYcNwA7kdx/uAHP8jXCL4BaIAIwCAadkCZTsqTsvRsQI6NCcBQlE4eaO6nDxvXmIEPG9w8nDT1pDR609H5WjSgaOFwrfCbAQszZ85MXA+EAdoM/X7YYYflvs0f5WsDqieOsYC0bUTza2wyyFHuwMCjjz6aqUbzSBBA/OaMi8eYzSWBI6AIqBixwgrpX9761kxDCoYE0LwXc+F5pk2blgOFCB5+QvcznwUMNH/j9vUdCxjo6xntXX/2NkMF4GY9M57sUy44hgHZVVtIiqJn0XuH2Ll6lQYF99nH2FQyvNrIIcqYnGEAHPm1r3ULBlzPwMAW688pInKdoVKNQ+B6+MyOO6aX/mHUYCdq4xDIQ383fnIP21xa82egx2CAZcqnjrpmKbKuKSRWLYRK+bCkKeWtttoqLz61tJ/8nyfTNp/eJvuzLBoKFgOAFqKILWbKVt9o8FmzLk/rrLNuVmAiUVdbbbV0+eWXZ3BgY4zebLP0jeOPz8wBBUhpCrLhv4ZCKUOK1dEY/7dYBeLow/fWXXfdTLtRbBQhisviBmZQWsZcbaee+u00btz4bIX7HHWnv5EjR+ZrUV7AEAW6zz77ZKUL+GjADOYEiACajBGgAW6AAJsXcPCsgIONIT0s2o875ssHfTld8/1rMoAyF8GWuAbtByDY7OZO4I851YwzwIVxGjPkj4mx8QAB4wU6uB3cGwgzv0AWwaP6mLEDEEAGgQQsAT9YDaxFAQPN37h9fccCBvp6RnvXH7loTxPMAIF/2D17cfXVV0vnn39BNsSqjTyjzLk2a2Oa4ntkBnYBq4m9jebIHzlFVvucIp88aVK67LvfzRa8OKjqaYO4DlvBEGLNiwfQJ1nA4GIoaIxBsow84tqgLxhcdINjiNHITW4HYIXsERdRWvNnoMdggKK2SChY/5ZcYol8/I71iUIGBixKaDHoIo/FJ4X+QbUDAxrrFhCghCkbioZC45/HNgAclD8gwPq1+MQH+FuaNy/dcOONOVIVm0C5W1DACbeCe7Okw2K34AS2UNSAg80FtbJ2LWgbzN9sGiClNr8AZUthYiTETHjW8ePGpaMnTcobVqNsgSJKE2gyJo2vnY8OMPIZcGDBs+YxDhqfvj7RZ/7/v//7Svr5z5/NrAWlC7i4FvARTew6YETMAP++Ex8oOaDH5nMvc2neRRnHcT/jslnNz6xZszIrYBMCL+GjdOrD3BkflsZ8/+n119OP7rorz7frgA7vA2gqYKD5G7ev71jAQF/PaO/7wy7a9wA5Bet38oLSxmSK2akqUoYF+p2Ls15elAgOJA+ABfs3mv4AiTglxTAhfzG2FDaZUmVJ4zqnErCx3IvuzxVJhjBeKBUAwX0AG2PHxDJEgANjcCyyGhtArmA1gBLPUVrzZ6DHYIBfidVqkda2KhiQ0AIKjNYVGIhFj+5C9VuMKG4UtOsob2VVDRZtTbmh4gXKjP3U2OwDX+Vjq2RQAAw494rmRuMHGDAOCtUCRoNTsEAIRUb5o/H9dB10Wku1hUvBwuaWgKBZ8uj+ULQodBsHKJl9++1pnX+AAZvRQreBWPc2CfYEEIozucaHLtMgapuU0ofWzYXYhu7AAIqOewQY8KzoRqCgCgaMGdoHIChzc1ALBgA6cwcMAFZOkNjU5sT7mTBxQhqWhuU5LGCg+Zu2P+5YwEB/zOqC90kuUZBcr1i+2hNL4o0YBuh1rGVnjUsXpc/ooXg1cgl7eOqpp3b87j8MHoYNuaZPYKHaxBgw6Mgksgzr6BpjYAhS+BhMcUWMK4YdsMJgIT8YJIwNACTaDddfn3beZZc8RifTSmv+DPQKDMRpgq7AANDA39VbMEABUfy1YMDfWej86xAkugptbUFSblwNwAC/Ggq8CgaM5corr0x77L57WmvUqKwQLVhZuCBhtLugGP3VNhvHJoLOXWejoPnFO0SzgfRHGZ85c2b6wp57dmyyOJbpM+MEPACaOA1gg1H++uWLN07fNTaIGrVmk2EY+PhsNkGarkfj2WhVMBDMACYHIxLAjFBh7WNauEwEENaCAX2aO2Bg+NLD03bbbpfBjw0MBK7+idXT66+9nhkODEEwA6yIcrSw+Zu4L+5YwEBfzGLf9oFRxFpSxmQF2VTNz0ImnXPOOfkzyr7eKYIYkSA+ipa8fPDBBzsG6ndGXPX00dePPTbNuuKKfG/BgVhf7guMZWQkJL8oD2Ag7iveAfPKFQq0kIXcENUkSBgExkYVDDCCAAvMJBkcRyr7djZLb93NQI/AAItZhCilyJdc2yhDL5Iy4yagoKtgQOAIijrcBF48hWdx8mWhw1BZfEsQL8qLkkMroZ/4pVis/PwC71jlqH7gQDQ+VGpR882HsoukHDEOi5qVLkjP97g83NtCpqT50yNdZu3zYS4scBsA4LCgq9+1OSlQgIHCpbxRYRgDzy42wcYGlBwV4hpB9fvsjWQd16Wttto6+/BtUIAA7e95KW2gwObkTuGCIMAhbaib+8RzGQ8GQYOw/cOGiAcQ14B+lHWMAAFmuEb04XueTQMGbE7sBctEnAf3hOcBJlgqABFBhP4jtIAvYETMRclA2N22a73PCxhonXfiVACG04miiy6+OFP15GKtYUOW2XPcBuRoPd9+PJUgRAwqdpIM7yoXyMQJE9Klfwf+jC2uXYaK/sk9ckSaYnKErMcciHsSLyYo+dprf5DjGshUeoCM5j4gQxgorifv9cWVoOlfMDkZRMaQNaU1fwYaAgOUoC+igSgiSgQwgAjjqJwFzApFJ6OlKXqBdZShRUC5UGprrz0qnXzyf+Yn1Q+lTCFTjgCEBUZZslrXWmvN3Nfee++TgQGK3QaAcFmqFBEFx6KmiAUOrrrqqlmhU46Q7ZZbbtmRMTCm1z0FPQp2oQA9g80mNiF+r/cq3MMYPBd6zc/a8/yeVVSuzWMTAyoAzNy5d6SZM8/MgICCpYw9N8VJgUPo7s0twA/nxAZrniWO7TA3nteY+fKAH+M2ZoGA3AI2JteKfiUCAajMJyZBhK65senMnfHZwDYnpS5PBEVuHOYXA2OM62+wftp+u+0zbej+73zXO9M9d9+TrQSgwDsM/yGXAqCHWSn1CZq/mRfkjgUMLMjs9d21EgwxAshSe4gMYVjUyyhKqZMv2Dh7satG4TqdYL+TR7V5BqrXUsrkPcOFrCGvKPXIY4Ct5DYlo8mR0AN//vOfMjMgOZKxk0kAhQBHsocMIa/JIrItZOerr72agcpzzz6X+wuQ0HezWnpqZAYaAgOsUgvIy4sEPR9d+aNp//327zhGws/NIqW0fId/2QK1cPiM0Nzx8qOQBn+1hiYShMI6ZnlqlD+qyZE2KJkitugoS1Y8ZclfjeLmg3Jf3+dfB16ilgDFhlWoNpSZ+wEo3A0UIGtYX51F48b1KHEbikVf22/1HjYeGt28rLD88ukrBx88XwwFa9rCh7CNlbUex3I8A7DhWuNkdQMBhILND0BgJcwBpgVLYX5tPg0gAMYAIm6WU7/97TeowWHDMqMgQBDdCGgJ5AEKvC8b1rgAAe/KOzAn4gwwHlgWjAyB5d6f32WX9P4PfCAHDwGDnsN8AiXV40WNLMTynYGdgQIGBnb+4+6MLfuP+w1zWO+YYHzXfrcXBQM3UuuFK5RMdnyQwdBV37WzQfljbinq6t6m4AVXkyfkYT12AsvpO04UiFmovW8UKyLb42RWa7yN9hpFQ2CgFaeE8unJYvb9yIBIkVvEggEjlS+LnpLtzqKl8Cxum6+7lL9Ahn/67ey7NpnNVbuJIjtid+Np9N28+vcEUX/929+ygu9u3J2xIr25rtHxle8N7AwUMDCw89+suwuyxlyy+tHxXbkWmjEmgIb7E/uJmSysQDNmvf49Bi0Y6OmUYRPQ2QABN8EZM85Ia635z7OuPe2vfL/MwFCagQIGhtLb7PxZsLBkoRNh3KpcewPF4mFZuR6wl5hZJ8ZKG7gZ6AADY8eOneeXodpE4qKzUW8QqJiBUhBjqL7t8lw9nQGuI64f/l3Ha0sbujMAEHDdvvD37K5cBossuuiAPKzj5xKwcV1GWfgBGUi5aZ4BLmuu6mEjRoyYJygwzroPtfkRTSvgRpSrmAVBMaWVGSgzkDIolhuDYJabogjmob8quFi9d/FCXJID0dwfK8HtWtrAzgB3tLgOQaHDFllkkXnOkA7UwhjYqSh3LzPQvjNAMQjSJZTJgMKYte9aKE/enjMgHkzAOjkwbNSoUfMcHylgoD0XQ3nq9p0Byl+iGPk9JJMRyV5amYEyA+0zA5gBMXWO5Q8bM2bMPEl3SiszUGag/WZAoitHYcUM1FbFa7/ZKE9cZqD9ZoD+FypQwED7vfvyxGUGOmagnCYoi6HMQHvPQMseLXQEkC9zQc629/VZfUtFn3IW1POr+rvx9lVugIFcmp5TMGlPcjkM5HjLvRdsBgoYWLD5G4xX29+RSK5Vx2+MQ0Getur8VsfVEBgQea+mthdDSYTCC4URC0qObLn0e6tA9C+AQWZCP52DlbWqN82YpeGVNUtK4kYydHV1H2OTKUtFRc8r13a1Cb6SCVHNBv9835zJECZilh/W/AjSkFijVRe4JEmKi8hYKMOj8sy9fZ+9eW/lmoGZgQIGmjPvkps52VRv/0tLHnU9GBayEcoIGkZIVb763Dl9Z/Ttz2WXXTbL3kabmi9Oj8i4KlOp5D/Sl+tXJsHa5D/km8RAjLRaA819O6t1QA7K+Opa95FGXYbU2qZ/8xKn2czPB/7t39LPnn46J25Tuba0/p2BhsDA0089lbbfYYf8oizIiDz0wihZ2fy8TEUtBCDVFtRo9BEo22nTpuVUu6Ka+S+7SvnbVb+KA8l3rc6B85PyCyxIk8rTsynbu8H66+dCHtVG6UtTLJ2mQh4KAElJDAhEql7pfOX3lwGsWn1sQcbVl9cCdxIyeQ5ARm4GvuSBSkrSl89W+up6BgoYaM4KUUyNjKta5JT5+973vlyFVDVSjbxRC0aNAs0eVKdA/RKyg0xTB4TcectbFkprrTUqyxXKvTs2NdKdS2+uuBlFLc+E1O9kgDwTZB05pkWiIvcDZqJ/4zYugef1ah2oIyPtMZlJ7v3yly+mf/mXhdIxxxw7X6E78pG8VBOBLtE/Q0S//u++0iirEFuvRkNz3tzQv0tDYGD27Nm5kI18+RaIRSPnv2p7cuZDeordWGRqbiuu05tmIbBIBTF46VJn9hYMYAZUNLTQjX1Bla+0wao1ypRls8jpX22CL6644oq8cOXyxxwoOKSQj+YzhX923HHHXEdgQcfTm/lt5Bp1Ha66+ur05YMOyvUNCIkCBhqZucH9nQIG+v/9MXYkO6PoKf9oWFC/q1WiMBDlqyDa5MmT896joBkS9iOWE1DHmrLIWcyquarNok6JSoFRZrjeE2ETyEPfVcSMpS+3hHvoW74Jcs7/1ZoxLmymAkT+bhyMQN8P5kLyoNryyZ5BBUL3ICvVTwFcKHR5LBRjCraW4abmikRIoezpFs/vWegVNVEAIbVaClPZP2u1ITBw0003pTvmzElHHnVUHgX6HYK1oJSttCijQpWCO1Bdb9tvfvObnDMbAoV+ewsGenv/rq6z6BXTQPlbzNFsDCAB+6BcMIRvIykBHEgf1aWKoo0sL/iCui364/miz/vvuy+tt/76BQz05yS3WN8FDPTvCwnWTcE3FrwS66xeSlPJc4qV8mRYUY7KArOGt91226x4KWAGhGuk8FXUTbVCypmSZZyh47GqFGm9RkZ7z1ynLHHUPkVLzipjziULqGy66aZZYStOZpwKJ6kfABAAH5Qx94VqqcCFZ6pV0FgBz8lIws66l2d1f/cmSyOvDVlJEWEGuEp8T82EqJsAsDAyL7744qxvJI0rre9noCEwQEFDh7L3aXzjW2yxRUaPqHBlir0wViUXgUXLIudfd+1yyy6XPrHGJ+azMKFhC9oCXWaZpdMnPrFGfvl+1y9LnDVtkzz77LO5op6ylzaGsVjE7skHpR/fUzoXELFhsAx839A4VBqIU8Yt7INFLwjQ4sZkRDVGVROhbMqb718VPsV9tA4wsNRS6cqrrpoP2UPXzmhK74kBUATJBvN/86Z/5zj9s6mCGYgYCfOlopfxVP1vnksMhc/58Xxe9bm53vlwm9Pn5snnUVAJ2iZclDQ2fnPp6NiHPvSh+VYTkBLP/Ze//DntuedeGQwoO806kbr03vvuy6WLgR50JOGB4nNvc8qKIBS8G5s6AkA9u8pqnovg4hv0N2PobUxI32+F9u6xgIH+ff/2I8WpVV2W9h35pKzvAQcckPcF5eh3xpZKrGRtZIXUD2OMIiWfNHtQafITppyQLrv0srTJJpvUfRgWOjcm2cTC1oKWD/lIXgMDUe7cniWDyBD3i1gHchJgIffIudqmXywpl4jCcIwk/WAAyAaKnUFkTsh7AMBnxo4dqXV1yB7rPlzRQFBhB/p+vTYEBmpvWw8MVL8DCVIkGANK9/HHHk+777F7h6+c0uEPsyh+99vfpnvuvTcvBIuGEh47dmxWfn7ee++9ObAFQuVvs2innDgl3XjDjVnBKG5BwVL8FhKrm/I99dRTM+0GnLDi/cQ28GEp3QtYzJkzJy9ImwOoQINZaAAABcdfh56y6AGVzsAASs89vvOd72SFd/PNN2VE/9e//i1v5vHjx6UNNtgwPxuQQwHaVBT1SVOnpre99a0ZBFHqaMSjjz46j0t6SH6zQMiKi5gT9JlAIxvEPPsuQOZ5PIc5cI2NCIWbD5sISgeOCCPlm82pxu1D+FDOxuW8OZARYMDGP+jAA9Oiiy2WLRHuFxuYi8gY/WSVAGOEm+/rm0AgAHbYfvs0YeLEvB7kvycYuJuAJ4FPpQ38DBQwMDDvwD4EAuxd7kfuTW5Se4xitrf59kMuhfK3T0NhAgMs91mzZmUlW6/gj77s8e9//5r04IMPdRpsyN1LHmIYyIN8D+mK/fxHA0jEAdi/3BLkZW3znblz5+Znce8vfOELWf6RE/qP+hdkEnmArWDc0QlYVoq/Gh9APh6w//7pjrlzs5zsyhUyMG9y8N+1z8EA4U8Rjhw5MlM6odRFvVKaq622WlZoLHgbwSJQqILFbjFT8J/+9KfzC4c6995770xjUWwAxB577JErblksLHaf88OfffbZeQG7J3/azTffnJWUwEb/p6TRXtCqDWMBW/iHHHJIpun0TSBSsILobDD38jwWLCVYDwxAtBS4Z9BXtNPPOD0r01defiUvaoDCpudbs5EBE6zBn/5e4njqtGlZcfKvyQ1tfKg+/nrfA2o8h+vNBYVqfo3X/AIi7sEtoY8xY8bkeeD/AywoaHNpQ3rhss0dfvhhOZAHiOLKYOmjKYEI8wFEuFYAoUBM1xnHZpttlvsivLw/wMJ1hNUyyy6T6cpnfvZM7hPoQ/3NnDEj7brbbnlqsAYCML935ZVZyJXWGjNQwEDz3wOZx61KHtjz9jAlSvEB7YwWxdXsGYYOeYU9rG0MDJY+y53MqxfZL47J/idvKeRqc08nCxhblDsWArjgpqh3hBpgAQSMi3FVjX+oHZsKiWQCQMBAEAdGxkcj18hYfZE5dIB50a+YqwA82GDGIibad4yttL6dgT4HAzqEBi08Lz0iRSkkigWFHcpF+UwL0SKghA84YP/09re/I4MFi5Yy0wc3AMuWv37q1KkZQfo7uhsIQI/bOBaISHiBJhYZAce6v+WWW/KiouSchsAaOOZCEVKgqH3K/L++85302uuv5whb1q2NxUL2TO5RDwxQeAAJhYhtiPb6n17PgT0zzpiRFSemAcVvfBQqtkMwDTrOPJinO++8MwMX1PymozdNn9nxM+nIrx2Zdvn8LnmeWAueE7AwPoFA0L7nRJuh4IEkAZ/iPAAuz4LiMxbPgP0Atv7jPz6fpk8/LW96Y8IGmGPtlltuTp/61FYZDBgLEIU9cLrA3FP85hQ4EEVsjj0D8ERIAGnG4+/Wgf/rHyOCtfA+9Vkig/t2My9IbwUMLMjs9e5aDCpDRpAx2VavUZKMDPtP4DEGtXosMYINgQYWt6PA9U4TcOO5B4bU3q0FA+QROczQYtED+WITuDBq++MqJLsYXQyUzgKMI4jb+Cl4hguXB7azXlwZUEMemw/MoftHMDpWgSFHfojJ8q+0vp2BPgUDFibkJnAEskNPRy4CP71YCJi1yA8eCLGayCdiBihPVJRgPUoYMqb8+MZY0RgG/6BZVvt9992bRo/eLFv4aKdaMGChuZ7SorDCZ19NbiTohT+O5W1MlLifnYEBzwtJz5kzO5177nkdfiz9UHSsbD56zwHVU4IWOQYD8nfiADCygTX3soEgaEKAf8882nQRwRuJgIAgG/GM009Pu+2+e/7cM9pIBAPrHzgiPPSJ7eBaABRsSCABsALcjI+wiPdxzz13pw033KgjgBBBePc992RAQRB4d8bHtwkMiA3xfrAS3n0oee8A0PDOADCBoQAFwFKQfd9u5AXtrYCBBZ3Bnl1vr9vD9gV50xXtHScFAGv7qxp8zEBgEFC4GNl6itm9GBGuF3wnFqu2hZzmw1fiHVh3vJBhVdvn7Nm3py9/+St5X5On9Ro5ZWwMQBY+We37jALjJDfr5RsAGsg1zDBjw3UaOU23kO9ct5ji0vp2BvoUDLBuKSGoTY4AFn40n0GG0G34pFio0SgyAIACpayqpwkgaMrGInIcvBNrAAAgAElEQVR9gAFWNfSIpuoODOib8uVPswkxBKGAMQSsZqjUgrNpUO2OUlqU3AT1mAHAxSb0nFwF0Sx0YxMIo1HGqDkgRX/odackxBOwzC3uCIjxbCgxDAFF7Xmrn7unueQawBCYS6DB9WG1s9xdB0QAAzZYWOYADqUMDNj06EWWAgUfUbqsECxBHC3EJogcFliEBTF+IKUKBjxLgIHqsUkxH+YShalWtnuZ/86SlPTt8i69NToDBQw0OlN98z20OeBONpBhXeUGAKrJGPvIe4oYIiCBf90et5/j7/VGaN9j7rgpgY+uGlngfuQVV2Vtv4cc8tX08MM/yYChs3LXnm/c+HHZCPnJwz/JAIYcJ7MYEuRXMJG1Y4mcAwyoiEcwT1yf5JAxiZsqrW9noE/BgKGxekXLs3YpDVY7lGgBynpF2fH9oMopX4uEcqNcKEhIExhgXcfRwgADqKlgBlDuFC5moAoGLBbWtg3ECmWNU0DGAKGyYj20621AytnCZK0CATaLsRgTFI4yo0jdg0Ln/8JwuIaiQ3kZUzW3gvuixCnTUPIUNYtdn35yS9gMgnSwJTFP+hVf4XNW90YbbZi+853/yijamAANfkN0H+GAZjRe84hKg5wdYYTKUX0BBlj1+qiCAUACdShOQR8UPYbh/vvvS+utt3626v3N+wBCvEMBf+g6oE/ApDGa42AGWCm1ORRYFwAApgh4IhBKNHDfbuQF7a2AgQWdwZ5dTyGSOQA0uRaNnCIr+OrDHcBlypCxt4JR4+PnxuTijGh+1z3++GNppZVGvsmaDxcnmUduRQtGoBqQyKVrz5MlQEa18e8zCsgdn1eb+xs/JoHhxy37yisvp9tuu70D7GBCyEBuVUyta4wh2AfXH3PM5PTEE09mGRPxCPQGRheb6ZghQ6m0vp2BHoMBCM0RFYuEAqBEKNBAtnxPlC4F4WgMKxQI4IuyeFnkMmmxxikifViorFFKjCIRqU6ZCzahLClwSkd/FojPAIFRo0ZlMCACFQ0GzULKFhumgdLRN0Uokl3/rGY0PGsanS0YhXVM+dpo/N3GiUlAk6HF9Yfep2wBBkrNHAA+Yh18v0rdATvO3gIKwA1F//zzz6Xjjjs+P4t7WuQQLsBkDmx2CtdzuN5zA1WQtY1nbE4fQO3cLMbuGfTnHQAWBAShjnK02cyxTRMJk8yTWAL30h/kDYWj8vjwzI13ad4BGZaE5wUICCSfO7XguQA098LuYHG8ZwyGuag9LvjEE4+njTfZJL3n3e/JbEJQf327lEtvCzIDBQwsyOz17FrKD1VPMVJs1eh/8gQ97mQOq5i8ZQCQLxhXssQJHv93Usv+JjMpVfLB8W7X11rzDAzyUP+ASAB2MgLzJyDZ3ifjjIkcJ2dqfftYUgzfjTfekI+DRyNjyEMGE8CP+WM0MALIO8aXvtH7GAX9cAH73JjJfG7MHz/0UDrl299Ok4+ZnDbZ+J9HJMlj/ZKrjLsiQ3q25hr5do/AAPqaMvECWcwULFRLacQRsfAVsSr5oSE+SgiqjeAXygbKsxAtcopPsJrjJl42S1ujDFHtvo9FoMQBCYrJRsIkQJ9SXbK2fQ8jEWdaAQcLzX1Z60DESSd9M1122Xfz5qE0oVOLDJih/C1UVrdId9+3UbAYFDemIjYaxWczOr+vj6qli8Ky2FniFjxLnqIGCPbdd7/8fUicIqdYWfHuzxXheShfloEjnBQwoGSjmGPjCPeKI5U2HD8fZQyNpzQvHX74hNyX90SQ2EiEvbkJEAPQoClZFlwjTnp4F+IG/MQC+D4BQjB4J4CSgCJABthwrWfBNmA0vB/+PuCqNgp5r733MrTseultuupGFnT5Tu9moICB3s1bb64ieyhz7Kf9W/Wd20uUre+Qh2QUsMDAwj6ykO0xgpvCJ0eiZgyQQfaQH7XNdfYe96Fr7V2NTGNUUN4MHn0usvDC6Qt77pmPKVfdF4AJWQl0YBOjjoJ+BFozKshLfVL+ZJ57+knZk0OMCDKc4cZ9SS4DEWS5AOz3vuc9aYcdd8zGTVWmkm30gWf1/VZO2tabNdEK1/QIDFigEsawBCOgzWJBR4cP3kN5YZLUPPrTn2ar1KL2soMK0s+zz/48PfLIo3mxQcAUpsVBsUGQ/k6hiPq3aTSL3d+qi/8dC78jLbboYlnpx5hsLn1R5nGd+0PDfFkWM0UOCUPEFrW+gQzZtizCarEhCp0CE/RnQ/iuZ0CZ2TDATrVhI4Lmcy8LmfJ1L88ZqD2KkUDTxh95E2Khx3zzDdrM5glSr17vOsoatUdYjFxppfS+978/uxSM13Uxb96Rdxfz53egwXdYGzat/vkBPYMYAoDP91kU5tScERx+xxLow7x5X+7jfUUSp5gT1wMNGA7HElu1SFMrbMiBGkMBA82beXsTA0im2NPV/UD2OSlEbtiH9hL5Yl9prrXf7bWQbTFy/dTK4upTkSNYQccZgRCNfLbXyQqsAzkFgNQL7iP7uEx9Hm7W6J+swjiQiYAGWWuMmFWyVv/kLDlMBoasJr8YjWQ12UKmeO7aGIpI1sY1QY6U1vcz0CMw0Pe3Lz0O1RkAADBJNjWWgYuGi2BBUlUP1blqhecqYKAV3kL/jwGDigEl+BspatT/I+r+DgALBhXQAGJK1tLu56w33yhgoDezVq7pdgYefdTpiYPeYIn+zvZMmDgh7fof/0wi0m0H5QtNnQEUL6vPKSD5O0obmjPAgue3F0PAJYmNbOVgXkwuFyb2gouimstlaL6hgXsqrm0xKMNGjx49j7886kkP3JDKnYfCDIgHQen95re/Sdt8epscLNrV0aeh8MyD9Rm4tAStxrHPqAEyWJ+njLv7GXB0mftVYHa4ILq/qvnfEEPh9INj5dy14R5p/kiG9h25bQSrO/k17N3vfvc8KLFM9tB+6c18Om4C4DJiMpp573KvxmeAZShehBUGCLRqee3Gn6h8s5EZEAMACHaV46CRfvrzO2IoGBHWaDFU+2+mrQGZasWjDHvnO985T9BcAQP9N+Ht1nMImbKmWvvNUwiCvER7O7FS0kS39vsqoysz0NczQFZjisiBYZttttk8/sKINO/rm5X+ygyUGWjNGWB5SX6DOo4aGwXAtea7KqMqM9AfM8BNIB+POJJhY8aMmSeAoLQyA2UG2m8GSgBh+73z8sRlBqoz0BFAWMBAWRhlBtp3BsrRwvZ99+XJywyYgYaOFqIMO6MN+Rr6OgAlqvdxWfBf9qb/SAwkSUdv+6guEf1U83d3t3zcX5Ie11SP7vh79NNZQEwk5BA8w59br6Z4vfvHvDk+1MoRwt3NXfm8+TNQwED/zHm4XXt6fO9vf/1rGrbQQnVlX9WV21m/vhPyxXd6IkPJOtdWgwtrdUBV7nemH7rTDVEXwczXk61d6R3XGGerB0D2z6rqn14bAgOOiTnnKfpUi4x2XrYMdLJkOfbRF1HIEkzINsV/wZdJSHVWGauzKbFIZNtSmvflX/86TZo8eb7UmT2dSsku5PCXL9y/Rja2yEx1E8yNjIKxMS1emf3Ml8hNGQ8pb81nI0askFZccaVc+lgqT2mRVUTsDhAAHo7gXH/9denpp3+W84uXQLCevun2/X4BA3377iO7qJTjr736avr0Ntt0u4eNgPwTxEV+rbvOOmn40kvPNzBpf6UvJx9kCZTtT2bTqrKXEfTOO+/M+T00Mkha90bSgMsIKKWwxD7SsJM7TgVJjS7ANO7jnv6RXWJNZDatjoGOkA1RpsJ6R4r1ZW7oFXPlJJt0yMaoH7pG6mLZGGv7ZehIfa7InFT08mL0BOz07ZseOr01BAakur3yqivTmTPPzBGHquVRZhSeRRslNlXPiipTvZ0i95JkQk7+DTfcsKPaXU/6Mx6BUJJrUMQWq1SbvW1AhRoM6hEo+1vNyd1Zn1Jsypol/a7aAoCB1L8K/0inKaWnha4Wg/oBNoyz+PL6q9UgHSkBba5VYaxXp7x6b+9FdjGZ/mwM15f83b194+13XQEDfffOKUIGjaqesm9SWIKzuwPnUvbKu6+K6R9+//s0/bTT5ivzq+CbQmBAP/APEEiHbt/7qUVhNbJZYTffU9dFTRF1TbrK3vf8c8+lKSeemI0dMicK0Kn5oh4CuUq2eA71TBQ7U5BOqvEqUDAO31NjQa2EWnkJQJgbfUiF7rmBAPJPIKt0588880z+vwJ3tU0WU3LzwQcfSFdc8b2cKEdtlgIIFmwNNwQGLG41CSh7efRlKoP6oLcnnngiJyrAHqh0p+hFd4qrqyHrEzqGEh11jNK3PXlMVrjxWvws7wUFA4ozUcoKIFncCvZ015QHVpNAQRKb2GZVfIPirxZ1Agj8HQJX7IfgQJmZB8jeRgq03NU9PbOz4opG2UgFDHT3hsrn1RkoYKDv1gN5af+Rk4wHVrnCPt0l3SIv5PeXcpdcVVWUQaSRB5LCsaZFfJOxjB2Gk4JjCr1p7sPgkPqbsjYWxdVUICRLMY31GsvefckOBd7CeCKLKXtVYjGaFLnnUHiIHDz44IOzhU4HhNJ3DV0wYcKELI9qWc3nnn02fW6nnbLho6qruZKgDJBhxGEkFFRTjE6yoSgPz+DxHIwlTC1GwXP6m+tUsS2t9zPQEBjQvYQkFhkkiEZC00SzaAEF1fT8PxaSBeyFQWwWb22BmqjdHf6pWDR85WuutWZacokl8wKOYjn1+tC/+9Tew8KivDEXtWDAgvav3rjC1x9j0T/aDY2FrYCQQ1lHHIF5MLZApv5uoWMA/HzmmZ+nj3zkw3ljYwgUA4kmLajyya5V7SsQfgiAKNgU36/GU0DwVZ8Z8KAiGPeDwkPGZCydzX0UXfJ5uD6i//g9ri+ou/ebbDBcWcBA378lNDdlJpGTksXdgYEYAUVK8VfBAAuf+wC7GEoX60Am77//fulrXzsyyxCKkWLlJmSZk1X60idZyvCobfa87HPWAPmERdACSAA0gI0CQ1U5x+A666yzskUfCtt1XApAAmUe1RGr9yTnMKe+E+WXsQRKxTO2/B2owTJvuummHbLJNQotqbwYlVvNC0PtXe98Z36+d7/nPX3/Itukxx6Dgfvvvz+nLVV9SqNU+bZZwHzbKCuWrI1ACbOKNejYi0UBafxQs2fPzosCTcRahmT1S0n5vgpWFrZyySgxiHH06NE5OM5C1Tf/GbYCaoR6fe7+wIDF/eADD6Sbb7klAxSgA/IVj+CeFJ6KihtvvHH+nD/O8wE7W2yxRf4OxWqx23TKbULJ/nbVVVdlgGQsqK7DDzssLfyPymIoQvNho3ge93QfGzHcBbG+3EMZ5CoYiFKfNhUUbF6M1ZzxBRpjZOaC1rkDxFXwIRIA2Aab23MCBTa3kqERVCgGwrzx13kGtcEhfYLD+7DxzaVx+B3Qq9Zcb5O90VaPWcBA379ulT0pr56CAQqRpVsFA7WjI3d9zjImZ/jvNbKS7GK8cFNiV3ffffcMIjAJ3JO1jfwapzTx44/n+/quRr6SfeQ9q5vRwu2JvSSvjIFMrYIcxoNy5b/77e/yuOrFKYhLcE21MiKAYJzADNqfkmfoVI0SuuXMM2emm266eT53tPLqmNjp06dnYFAMl96t5R6DAYrOguG3obQxBfxY/o+q2nnnnbMSpZQgO4uHcgEMpkyZkstnalOnTs0Ld+utt850Oorq01tvnY47/vis2Cw+fi+KTJCikp9QKZ+4RUmhQawUnKA+ZyQpwHHjDkn77rtf9m9VwYBFiY4yRmgUYrdZ+ejcwzOgu77+9a9nhRv0HGUKZQMbyo0CKKxvm0xeb8+lD+4IQMfmOPLII/P3LVILOsAAgGMOqiWPoWtj8WzBDBiX+eEXGz9+fAZEFjgAAngBJu4PeYtHwCZQ9pgIG8o7AlqM5YEHHsjlkW1MQoLyl4feRvY7Fwh/JjrPM0PdgAI3DRrQWDxHKRvauw02WK4qYKDv31R/gQH7mYwiC8hCMiuUJrn3jW8cn6ZPPy3LaLKGcj/00EMzQKinKLGT9v4mm2ySlXEoafFbwAbZRo74naxxX/R+vUbWkYvcxYynRhQzAHH66adnQ5LMq1co65VXXslMr+chG6ssM91Ahu63737piK8dUWKlermUewwGKF2KwkthIVP8XhQFZSEJUIEkBa9QipQZS9aitTgsXAoMKGA977333hkFUrAv/fqlNHPGzOyCAAb8nSJaY401sqLfb7/9sjJH1fMZQYOoewuU0oZiUfD8TRRZFQwADSdOmZIuvOiidPXVV2eLm2IUV0CZT502Ne2y8y7pxBNPzP8ov0mTJuVns4kEzdhwGA9MgufiEwNkPPt5556b3v+BD2R2gSWvTKigFs0GscCBGs+irzhiyFdnviD2AAOQOmCy00475aBFYAC44JfjChBbYMOi/1BqlDtl7rpdd901C4oLLrwgrbfuehmsAAjmDBC56KKL8qYC6IAorArggBkRz2DTe2+Agu9jWLACCxKA2cu1WS5r4gwUMND3k90fYIDcwAiQteSvfcmQIvtCQTKi7HeK1d/ID7K2MzcFo4xBRC6QzxETRUljIMkVgIHxIRiRUcTtIW6stgl+dG+sLza0kUa2kXXkOJlbLyaLDrFGgRrytdoi7opsxbwuaBB7I2Meit/pMRigpCghpwn40kV7UhoWjUVAQVp0d9xxR1pu2WXTs889l305FokIVdTVxCMmpgsvuDAr7fApQbsUI98Ti5YVzUflWtY4JQy5xoLwk/J0PasaMwGY2BzYA6CkCgZYwgAHhU75h7vCGChQ/ejPgvcMgm74+2tboGhKf7/99k37739Avj9lHta9+WDFR+RuMAPoeCBBDEQ0YMK4AIRqzIDndYLBJrGZzbVxmmcvjd8Q4wJM2RwosogZEEiYc0wPG5aVu43uWcwL4EDpc+lEfADEDyy5DwHjPRE2fpbWHjNQwEDfv+f+AANGiRUVsE02Us6U5z333J2WWmp4lp387QwlIN5JKOCAkmeM1TvRIAiRHAEYGDmdHRFnGDHIGIRkKDay2oAGLkXfI1cbOWoOcMRzkEvh7qj265k8J4aWHqnGJ/ge2Uh+0xeMnXqukL5/u0Ovxx6DAQgNAEBBaV4UBMr6hBQpUSwAtAk0UL5oKjR8WKesXYrMoo1gFX1ZGBrFDQy4Lk4ToKpQU9CrQBOK0vcsesq1GgxowfN3V8EAC1fQiXFbMBGEA7RY1Px6lDGLGRhw9IWLo7Z5XgsdI0FxWoDYBd91X4E6NkFE97o+wABGAXKtLlZ+uQBEXYEBLAkLwMa1abAzngNlh8nAtNQGEIolEBfgfVD+FLx34JkdT4pkJMCb+fPT+ytgYOht9O6eqICB7mao55/3FxioGhIYAbFFmNOQu+IUyElyiQuQPFtk0UXy0XBxS7XUPRnqO2QXprGrI5DikPSP0mecVBs3LEZYP/z+3TXyG7Agv8RJiPeq17g+ABlyldytPaqI4RXjxBDEGEfMQ3f3L5/PPwM9BgP1ThNQaB//+McznUSZcCHss88+WdFbGGigj63ysXTA/m9Q1fKgQ3onnfTNtOeee2WlZGGwYr1QCpay6woM2ASs53POPjutseaa+aki8Y7zsRShDREBhBYUheinBR1+e0wHOh9l7jytRW5joOJY5bUN6vUP2ECVATyQt2hYY2Zd24T6ixZgoN5pAoGRFnLtaYJaZkDsgbn3TGIqACPHkLg7+OcwHd2BAfEAxgZde/HASTSBgoQAeq+AgfYTEwUM9P07728wgNmjHLGtXIPoezQ6dvPaa3+QNtxwo8yYMkDIJRQ8y77WXcDA4GbECpDXXeUnYUQAFORHxFXFzJGZ2EdylAzvqjH8GJXkJuMwEhzFKa9qYjcy8rOf/Vz64hcPyDK59lQaVhkQwoTQP1Xmte/f6tDtscdggNKARKv+Ip1QtKxuL8NisCAhTovMS4+gEovN5+ikDTZYP5188n/m6FSo0jX87xZ1FQwABc7deuH85pS1yFjWN98+Coy1TZHNmjUrL2i0NwHnaKEgOcr0kEMOySCEMoRuNdY4q15fPjdm53Y7AwMYj/PPOy8nBBHdrz8KFjMiGJK17pxuNVKW+0IchNMUtacJ4mihBW4sQZPFsSQuBPQdsKBv8QLQu/gDbgjPHZsXKPN9c8WPZtMTSJiH7bfbLp0xY0YeG8Hgb+IxMCI2mzk0t77vJ7Ru/kprjxkoYKDv37N4nOppgmr+FW7GX734Ylp+hRXepHy5EjGUWNGqwo0MsNEP44dyFy/FHcBiJhvJsAADnopbgYvSvidfa8/9M4gYF/IXCMoOnz2DB6Masp4CZ8HPmTMns7rVkwJcvOSnMZKdVfbB37giKWlGSyRlwnRiEDCzQACjCiNLplfdBRddfHH69infTmeddWbdOAS6g2FDvoaLuO/f5tDvsSEwEMmFvDgvFRqlwC2Ou+++K33zmydlq9xCtKAoHMpVEKCXdN3116X77r0vZ7RCZ1NmwIOodZYtxRQnCyg+SSuksaRAWeoi5y1AyhYjQHHZTGgqwYj61Q9FhnWgzHzOD/bYT3+arr/hhgxUbr/9tnTggQd1JPCwON3viSefSNdde13eBDYiOj2i+GvrGtg4qDBuDycnbEKWObreYqbUI2OgRc/H7zywaFdsgahZc2dDmzPHGKFd4MVGMF9QMWAjsM/GsGk0zwYwiJ0ANuJ4jmuwMAAAUMKlYi48n2feZptts9sFZWhzm0esApAlaMfpA3PJwiBIWBDmzjyg5hqJCB76W2VoP2EBA337fslMUe72o32IDvczjgj7u0BmbB2FrnFBYi7JL25UctReDbcnK5r8ITsFJGM4+e7JFMysxljDdFKw5CSAQDkzJBgiDK16bCfLnCxwT0qebPJ/ypXMJqPDRawfQdXVxnghB62j2pNHZBYZR+4ztChvRqKTVMYTRxTFOYkP81wR0+Uzc0WWOhFVj7UQgG2M+sacNprPoW/f+ODvrSEwgIJChwtMs2C9kH/mC/hDWnzxJfL5TkrKi2DtAgMsVPkDvCh+du4CCwYK9RnL1OKFVF3rRf7pT6+ns846O9Ne7uMMPlBhMQuaESlKSQqaAxD4z/VFmdoAKCdjg6wtQq4LQMEiddLgv//7xjRjxsy8uLgk/LMZjZPfTfwDIIGKF5egz6oPzUJGxVH6lCkAYCNSpgJcPEckEcIcAAsmmdVubpZffrm088675GsICz4ubgT9GUNk3LLBKXVKXw4AAYA2p3nACAAZNgrhwWcGsb/66h/zGVzPjFmxgQEuc2wuWSn+AQ2EkGdxX7QfoGFDYzq4G9xXjIV/pejR4N/o3T1BAQPdzVDjn5MtXHpk5hNPPJ7SsIXSOmuvnRlIe9z+ZIQACJg5wcYa5Uj+MATsawYMWcfi9TulTvlT1BQ3xUkuMC6qDXPru4CAvUs+UL5kQi3F7jrA5dhjj0nXXXd9Zk0ZXww9SpacIA/JTjlNPEM1MZrrPS9ZzHBjKEY8WYzJeAQuYy0xE/rUd73meYw1mgBrYACTbC7qGSaMJXKLMeVEQWm9m4GGwABL3b+gp6IiVmTHoyxrERsL1D+Ky6KkNDW/R1U+1JKXrV+KVT8WpsULIETVKn+nWH0vshVSVv7vHvpwf5R5HNvTh+uN0eaBdiljf3MN6t5nfFtBXaHFotJg3Mdn1QXoc31TxC/96ldp0cUW61j8NjOwEspTHwCQ73qeyLiI4jdec0owhH/M91jixum6uMb9xSlgIxz5Qx2aj0jdfNr06bnCmXiMqP6lr5jPmG8/PY+f+rfJ3RsNaG6NB8jwubH6LL7fu+VVrhosM1DAQN++KfvTfgo5Zj/ZSyGDUPcsbAaOn6GUyZYI7LWHyQnyQgMI7Fn96osh4/NaBUnG6cd3NXKx6rasfVLfl+bYGqB0GVQaQKCPkONkaGfBheS7fyL9a9PRV096Gbf+3LNe8zzVe5CP3CBOpi32r//6pkucJMDUMmgciS6GS+/XcUNgoPfdlyv7agbQ91wRKHxIOfx+3AFcGnJ979pABG9fjaf0M7RmoICB5r1PwAAbwO+OlayeqGreKOa/E4WNdeSKwCo0miNgoMbrvow3DDSG05irydwGclyD9d4dYGDs2LHz/FJaa84Aut+xQC4FNBwmBUvBWkC/NZrtqzWfroxqoGeAm4ifWlxJvQxwAz2+oXT/CDwWQ6QAUD3qfiCel7Xu/XNVsLIjDmEgxtLdPbHK3BKOTnM7lKRo3c1Y959zW4kLHLbOOuvME6FfWmvOAMoOAhZwKNAmYhZYFYRKqwiU1py9MqquZsDaESwqkFQQqYDc0vp3BrADrbpnncBidYsxqD150L+z0njvUUdGTFkjJeUb77k9v8nVJFYF8zxs0UUXnSdIpDNfTntOUes8tZcVvkR+NE18gfcFKJT31jrvarCNxLoSd8NiJQP4fMt66r+3WPXxt9o8h5xpdZlinBELFbFl/ffGhn7P5lIsikD3YR/5yEfmoaEh1tLKDJQZaJ8ZoPxFkTu94kipKPXSygyUGWifGQAGnCaTJ2hYiRlonxdfnrTMQO0MSJwlHwaf8WAIHitvsMxAmYG+nQFH8VUbHjZmzJh5AghKKzNQZqD9ZqCcJmi/d16euMxAdQbK0cKyHsoMlBnIZ8xlfnPcrZwmKAuizED7zcCQBwNRCbFa+MJrjoREzX7l7hsJfZp971a+n6BIRyWlhPauzJG5qn1vrfwMg3lsBQwM5re34GOXhEyiIgnI7Dl5B8jO2nTscSf7U8CpIGYnDiQS0ocA1LJnF/x9DEQPQxoMWLDK9UrhKUoymsUrGlW2PQte8ITUvZL39HcTsSltsWMcxuC+ahl0VTa0v8fUH/1T5HIgCE6rzUhWFShSSSuKJP20I0KC15x1lXVMZjEpUAO8AQzeXWf9dfUcrvWeS97y+rNUwEB/7ILW75OMFDgqqZnU6zKc3nzzzbkmAXAglTz5VIuAiMwAACAASURBVFXw9rYUw9ItKwoni6tMiq6RHVX69LLPWv/d145wSIMBD+u8rMQUAiPUVrCoJdRQr0DiijmzZ6fv/9//m+sfNCNmwkaSNVAtB9UC5f63qaJS2OBbQvVHrD7FOeecnXbYYcc35TIP5e48s2Q30pgedthhafjw4bnw1PTpp6Y///kvuW6DAkuatKPStiqooohVT5o1IHujeumtkO2tJ2Nv1ncLGGjWTLfOfcJYUmBOPQB1B9QtUR9FIrP3vu+96cQpJ+bsfoofRZN2XX0WZ/xdFyng1WNwTl1JdgBiqMm01nlz/TOSIQ8GYtoU+4B40VqKZFAylMT/+93v0rdOOSUraFXEmpUIREIPik/hIEU2htLGwbZIXkOZEyT1iodgZRSqUiVSPnRWhSYfO9+1cqs+jxKugIDaC36q0thocx9Fn/SvRDarpbQ3z0ABA+23KiQxkw4ZSMaKYtzsEdX/ZKNUE4F82mTTTdI5Z5+TJ8jelgJYbQW1UlRirDbF3hxP9dnnd/l8GrbQsPab2EH6xG0DBiz4m266KYMByoaCuuaaa3LVMPQ0JUMxYQtU7QMKUNIoML9jFRT8wChAwmqVQ8iqkEkPbJOgyvjaXBslhn0PGyBLYFXhAyPKkULh559/fsdnNpnywig6meBGjBiRKTe/h6uDe4HS5N/jZ3/ppZfyPRXpoPwikYlc3b73k588nN72trfnI2MKRWEk0PMKjyhFWi0yZfyAkVLVqpd5XkJCoaSYF78vs8wyuY8Xf/nLtOJKK2VfYTAxU6dOTbJZShHKIlem1LNU6X3uEkKH8DGv1XKt5hIYoLi5UVQjU+XN36UeNZfm3bhZN+bLM5kD82Vs5gjYU9VSJTX3JqBUlfQZt4Gf3qXvP/nkk3mu9GHccdbefN5z7z3pd7/9XV4LmCXzMtTcOgUMDFIJ/o9h89eTXfaSvYpts147K9xDbnDPkT2MJLLEXrLv7EXpz+0vrjoyUvVVTfVZYOCSSy5OH/7wR940afaQEsvk1TnfOSctt2zJZjlYVlZbggGLnwKYNHlS9k+vt+56efFS4BIvHHzwV9KPf/xwrgyG8hJ3gD6jXNFgvsvSpBxXWGGFvKGU9TxxypR07nnnZV+5/in/e++9N29SpTtZy1FMoxYM2LQqh3FhGINNTck7/73vvvvmVMTqnFPAFJb7KSoiLef48ePSb37z21wmFNtwxRVXZECATndvaWYpPtXIKFdCwD08r+dhHQA+wA3lLQENyh41j8bfZ599chlkJabNAxAR5ZHVSjAW+cwBC2ltKV3BRfpUCppylUZZPYVohBHF7v7mCyDbeeedM70IgAhIAoIUdPE3z+G59UcRY3G8H8DDvAF54g6MW91zbh9lrM2n7HqUuHEbq1KokmtwZQApP/zhDzMQBDoIRPMEQBiDZ/GuxS4Yg3vaNEOtKEoBA4NFZM8/Tor/3HPPzadARo4cmal7OftVZeUaBbit+9r2s6efTnvutVfek/ZJMKL+L/kcQwkzQLFzZQII4ni4Bcgke6izJiYKqBCHoCRxs9jWwfkGW2fUbQcGKJjJkydnBXHDjTdkyxEYiAbZEv4WPAXCx0w5ULxAgY0FLfs7xUk5AxSUC0vfd1nWShmPGzcuK2GKhXIWbHPQgQemt7/jHdlNUWUGKF70GsXEWmbBUv4Unfvw4YWF7LsRa0Dh+gx4ADZuv/32vAFZxaxnGxs74VoKk7AgJCSXgfZXW221zJiYF8oZFQ8cACCUMNBA0FD0/Po2umeJ4D79AkXGSmBgR1gO4iAwJmqNsywcV6syA/q4//7708EHH5zH7HdCA4jyPLvttlsePzYkKjaae0DGmCl97ANXgrkwbuMTLOpe5hHIIJQIOO/DuJQ6da154Z5xPwFU4kq22267zDD4bPr06emGG65Pe+21dx6Xfr1r6wXwCSakdbbygo2kgIEFm7+Butp6BQasf6Abm6bAkARSwDG5VPX3xzgZRMC3Cqj2aDSMoNgBe8x+oyC4+uzF448/Pg0bltI3vnFCZumwEdiDWvZhzpw5ORiR+4+sjRLMAzVH5b6NzUDbgQHKk8tAsR+UOEVBQVYbJUHBo9QBg5122ikrdsqSj0wkLeXiO3xr6667bqbVKBVKDBsALKDU3INiR2WL1GW1ouRqwQBLlwVuY/n/hz/y4XTYoYel0884Pa215lrZsgYCfIdfDlV93nnnpg9+cKm06667ZoscE2Ajbr311nmjGgvlKbOUsdqUAMP++++fjjvu+HT00Udly9jYbW6Rw8aO6VhllVWyVczvT4nyKQI1gAmlfuWVV2YAol+sAd8igAFAAVLmioWvLGpnAX/mBhAwdsIJJa95R4SasXJtABmqMpr7WbNm5bkFdo495ph0yqnfTmPHjM0g5ZBDDsnv0xi8XwobQNA/C4hQ23zzzfM9sBxAl+f3briBuGy8QyDIe6f0/R9DAPwAaywxfRRmoDEBU77VvzOAybIXMHVArnVLNpAh2EiMF6Beba7B/gH8mDN7pNoE9tqPwDQ5tcEGG2RZpk8GjfvY1w888EBm6sgZf4vG5UYmivcRr0NWltb6M9B2YIB1TLFqNoLNwhVQbZQhBUv5UCBQrg1DES611FLZorWhoGqKVvwB1oAi8TcKleJnUVPu4WqA2CF1lHMVDAAfFC3kzZpG0UHi/OQUFsQvzsF1LFaRvKxVUcA2oY179tlnZyXqyCJLmYCg9Cl0L5kVYFOysoGbKVNOSBMnHpEtYwGVFB6QBHDY/BQplwC6kaVgnoyRYmUNRIARloFQcE/AAVBg7VPgXYEB84d2R/kDLpQ8ehMT4TP3oNw9I0WvT+/DnBrfvL/T+c89/3x2i3BJ3HTzzen6667LTAIwwH0BdJkrrgTApRoVXQ8MADTcMQEGvGfrwJj0KR6BMNxxxx1btppbb0VOYQZ6O3MDf531z6AhH+xvFj2AD9xzE9g71Yb9tCe46HyfgVHbxNQwEMgvzB/gAFzY5+SV68gXDCDXGRDOeNIAZsYEho68K7UuBn6NNDKCtgQDFJnFakGP3mx0WmftddLTTz+Vnn32uYywWYQBBihZVmGAAUE5lF+jYEDcAGaAwrU5bBqgoBYMRPQ8EOClUPI2MvcEAOPYoyh6VDWrmaIWmGc8kD/AolXBALr/61//+nxggMUOGFTBAEqdEnXigjVAUPgOcEEJur/nBSxQ8xQ1GpKfP8AANgIY4G5oBAzkAKNzzslzo6Y7NwHKE91pzsUUmHcAAUVfCwY8KzBB2KAi0f8AEsbCWPsCDOjHu+A2EE9BOGIYzPFQK/NbwEAj4rI1vxNggDwAwoGB2267Ne24Y+dggGEDDNjrwG9nDXvnczKAsQK8M3Q0+93+xODZJ/agZm/b0+SdPT7UWLTWXAULPqq2BANodgFm//M/T6b3vvd9OZAujslY+NBuZ2AgmAHKCwtASXfGDLB2KVTMAAuW4qPoWOO1YID7gCXMghU0xwpFzfNRYwuwGYIV3RdjQGlSVihzLxE618JNUGUGjBEbUGUGTjxxSpowYWJmIDALf/jDH9MWW3wyB9UJGhILwK0gtgLSNwbAgvAIMOCewAALuitmgJDCGFRLtxIYABClygUQSU2wBOh4DAALnHBDSQYYMKcAWxxN5AZBVQI0xoY50QALiruWGcB+uJd76jvcBKhNzACwhTXwGaaHoAUCzDcQaV4JOIFUQ6kVMDB436Y1ipanfGvBAGZNEHC1kRviDMg6QcfkSb0WblSA2z/uB0HNlD65wdWAJSC3yC8GhPb0U0+ltUaNyu40bot6AYyDd7aH7sjbBgxQmiw6livLnyVNyKPF+cMEolF2FjRFiBKjPC1yik7MAKsY9cxHbkNFzAAULOGGwMFwE4haxwJofNGUatD2LGp+dNdstdVWeVOJ1NWfADyIG+3HsueH99MmjwA8isuG/NVLv0rHTD4mjw3o0PjgWemUFmoPag8wEDEQnvG4476ejjrq6Oz2wFoYE7oQEAECMCEEjAUiAJDSB5i4CVgHAJXvRcwAK95YWRBfO+KIdNw/XB7uT1ihLN0jGqVv3JHtDCvh3WAEKH6AjFsCMCBwBCMRKt4BUIFdASa4VLAjlLOxYm187jm8c0yIcXO1+D7GhZACHFD+AIP5wXSwfMyb+ebr9HcuI+NArYbCvPJ730uf3mabISUVChgYvK/TMV15SwT9BRh4w02wYxo3bnzdzKrAs73LSACo67W5c+fmPQMw2J8a9wHZCVCTW5gB+wZ7V2UnyQP7yB7r7Hjj4J3xoTnyIQ0GWNGCwygMVDIKnKKAalnr/OQUKyuSEmOBshQpUcrOgqcEbRhBcaLyKV3Rt9gEqFteAMqR8qI0AwxQXH6nCF3HLQFksO5tHBvFxuJPsxkpS0rP5jEG42OBsoLFDVDa0TyX8VBWzvKuu866+bk8D8VFAVJeoTCh+kioZJOyiqF5itPz+L8Nb/P7jN+ce8MzUJysYlHGxux0g8Z6FleAbgSoMAdcGr5//333pc/ttFO+hvKl9Cn1ACyuN1b3NS7CgusDwyJ4yTzsttuumblg9QsGdJTJeDEnTmy4P/DmnkAdxQ+o6Y9Cx+wYt3cr5oHbIFwqLCWgCeDDhHgO8QiP/vTR9OofX01LDV8qXXLxJR1xF4CE5wIaPad1MtSsnQIGBqeAd7RYTA3AS66NP3R8GrXWqGwEMHowoP5PnlSZuWee+VneR4sssmhm4WpTfMsfMmHixOyKtDaq6YjJJfvePiLTyCMyNtwBPhd0jKVj7FTvOzhnuT1GPeTBAGvdOXsKJ867or9YoH63CSx0VitrHH1NKfqbRc5aZQGjxygzf/NdCojSiaI6NgLFHmAAHY0JoDx9H/WO+gcAUP5xbl4/Prdp/N/3HfUTtGM8lBCFqGEj/DMOgYs2O4UX5/eNHfvBUojvG5O+YrN7dspPjEAoZ5uVMjYOwXKYAkoS7QjtU4YAAldH9GPuAAbPEQ2IwZL4jnn3fWBAVHFt8RIgCSugb8+EgseKUNjcKRH1H337jAvE91kpAJhncLLDWCKZkN+9F9+JeUH3e6eeG9vx/9u7E3A7q+pu4PsKin7QVlomTZUwIwgYhghqiBiTYJhkEpAAlRkElQKKAmpBaBEQCJMkhBCGECxlii0yRrRCAh8y2VZkxkqNrQziV3DA+/nbsK5vDufmnntzzr3n3rP38+RJcs573ne/e1jrv/5r7bXMp/l3P9cDGJ4HGHKJAFKCH427a9zfvHg/xw9H2rFCY1zAwPAU+BhHR4QZM9btW9/21rT+euvnY8tknnUee7CqlMmBs88+K5155jfyGucCqBobmAXKAUNYm2XQbyVpA7zJF24G+0XLp5L2+ERO0oUZreYWGZ4j3Dm9HtFgYLCnkSINMKD2AEuy1lfeaJ8oyGqyDj5ybAUlvdeee6WLZ16clRr6vGpxN3r/vq6rfX5f1w/k+2rlyKjm6J2LJTGQ0Vy63xQwsHTjNxx/jS3D2DFSsJPVDKlYVIrdZ/X2o+8YAkCIP2F8MCTEImBPuSvLXh4+K6OAgSbOlUA6YADVzQJlvUdg39I+hgXgPK8jjOj1p556Mh133BezK6K0MgJLOwLcQ9gZlDFGqLTOGAGMFxcDBpA7baDyCiuBfRN7xRDipiuVC4fXGuoBA9ttt123/5Q2sBFAzau2N2PGxRkxCz50GoCvuxo4N7C7pxx7IDjI6QL03xlnnJ4mTZpcaocPdEDL7xYbAQAT3SwIVKKn0jpjBDBy3Ig33HB9es97Nsg5PGpdeo2MBJZB3JTYHSelChBoZNTa6xr7X/bXrve+973dgrIgvNL6PwJoM2f/0fk2k/87gifgrDY4p/93T5luc09uAvflt+a7K62MwNKOAHDpqJlgW3Eu4l+i2NXS3rv8vv1HgJuR3GdwDDTynyxyD4HV/l3WT/vPe7WH1gA3t6PvXcsvv3y34K0yicNrEktvywgs7QiI05BUiTIAMotVt7QjWn5fRmB4jUBUeRWU3bXVVlt1O0NewMDwmsTS2zICSzsCmCx5F0SgO5rqiFppZQTKCHTOCAADTpWIH+kqMQOdM/HlTcsI1I6AM+MCCMUMlADCsj7KCHTeCMhbIxFV15QpU7r9p7QyAmUEOm8EytHCzpvz8sZlBKoj0LKjhdwNzqqiICWIGQ5N4IsAwOrZWv+XuMOZ/uF8ZnY4zsdwWDMjpY8FDIyUmWzsPcgD8k7gWDWfSWO/HryryN4SwzI4490QGJAO9pGfPJKWedMyWSGKGvW3hSTfvaQV1eNzUvTK7CYLnUx8jpq084KzMR5++OFc9tO/JeIAYtQgkMNbUg1R1q1I7jMY0yxdsPcQLTp58uQ8H8MZ2AzGmHXaMwoYGLwZd+qIf9bpIDVM7MclNeXLf/fb36aPTpzYY1gxtNQ2eeSRH6e3vGW5nHr8Pe95T0NyVkIxsk2qbpk7GTqa7Jv6RZ6vv/76i3WJDCHPAYiQHRFf5rm9ZeX0DPd09FomRPlX6p1YcF99UrNEnzT3lz1WcKsMqcPFqBy8ldTcJzUEBlRykwP/mn+8JqfTdQ5ZrnxK3/lSx0mUeVWQh9K/9tprcyCSSZTZSmGcgZxdbe6r9n43efLl0p5z1VVpzPvel/2mcgWceOKJueCNtMDeqRlHBAfrneI5BM68G+elk04+KafvVehnjz32aEhoDHZfy/OGbgQKGBicsacYlRx3RJhRJb22omF77LFn3T35wAP3p8mTt02bb755rtmhJobfqVciwY8U5GSuVNnqmkge1JfRIhmadMJqc0Q54ltuvjlNnzEjK1+1DKpVOckQBdvIdJZ6tQEGjqXWpg93jSRsshE6shrZDFUGVdegmu1QqnH5U2Rsfd/7NklXX/2tnkcAE54rrbF7yd9SWmtGoCEw4NGQoYI9ctTLrR959i0sixtIUMFKDn4LxMJVfU7RnHYHAxCo2gM2B7eAMrmRp9+msBCHKxgwdzaigiIKK0lcVMBAazbTcL5rAQOtnz2KjULDBigYJmDTfgQIsJLVYmR6QyaRPypqut4eBgYeevDBXAhMul+VCsV6qSCIYaCYAYN6jZy77777sjymYJUI11jjfnf99ddnRpfil+00GmNJRkE6gCEY9VhY8oxBf9fWL8AySGQF9EiZ/rOf/Szfl/5gICq0FmwxHcLo8nxJjxhj1fb888/nPvtOoKs8K6U1fwQaBgMQKGUJ7QED1cIWiuVQNJQMQIApUMTCQg4woOvVvPMWZuSmr0dZR+KK/vi0wg+WkgJDb4xT+NP36Q1+KItXtULvCQxIy4kRsQkUrKkFA0CDfterPRC+uHjHWlakenyzmp8/ptdnxqr2mGeVnvN8Y1PPCqj3fJUSCSLzIe1odcyjDkF8xvIAINy72nfX6ZPPXKOP7ez+af52Gbl3LGCg9XPL3Ypqj1K/zz/3XJq87ba5Kqc04yqaRpPzQRltgIEcAiAYWNyy37zwwvT8Cy/kaqD86Sh4slntEvuca7ZeA0bIM3Q9xVzLdKoyeNxxx2XWoQoGVF1Vypur1G81xcBcS9aQ+bUyHBtw8YwZ6Ygjj8xHVckTgEXaa5UQAYCqu0AJd++gaJiU2NVG7vhMvQPMpvLtpTV/BPoNBvipgIHqwoVuTfJOO+2UMxihcgIM+E55XoiT28B3JtMiUkb2+edfSO9+97tyGkvt1d//Pi28555c8Q4ilHsfldVXyVjKEQUHpb74wgtpi7Fj8z0j17bvFdHgN6fIIFz0f9BOjYIBKBmKdx+K0SZFkVnY7mHj2NjGQo0CmwYCr8ZUWPiu4QMDnPjRnPFWjpRy5cPj22cZoO08c5tttkmjR4/OVL/xt7Fdt9lmm+UypX5nvGxC9yIQ/Ntvjb/f2MwBBgglcRI2moxzSpyKjfC5vkH0Nr5+sFgILHnMCR9zT/C85z3rpw9/eJviy2v+vhz0OxYw0Poht9cozVCc6o2w+JUpZ1CFxUuu2F+zL52d9p66d7ai7X3KFBggP7AJYY1TtBS4e1x99dU9srRWoSplToFLGzxx4sQ3vDCqXgp1MluNlWi/fuml9PIrryxm/ZNzXMNY4WAYqjdkVPkjkV0YLH4DCG288cYZtFRjAFQMxSB4p1ow4L7xPdZDyebh6LJt/Qpbuif0GwxgBihVi1OjIFjUysT+3d/9XS6FSmFUwQBLFNWl/rzGyqYcTap69BQzmghAQBFZtDYJxSRfslgEqHBJ9NDXT/96uv2223ORDEBCeVyLFVXldyeddFLugxK0aDHP4L9SflMZzkbAAEDBn2ZTsrIpSAPo3xQtGu/cc89NzzzzTE8/bAjBe0r7RqOE0V3GEgL/6le/mtkI9yYI9Gnq1KnpiSeeSFJE89MFkldSFMDQd+WKFQexgV0/Z86cnDzG8z8y4SPph/f9MFsN5gJQsNnOOeeczOCwMggGpZONCeBkLoEF4ES/3Q/1yBfpvuZNqdJlll0mPfjAgznQhxCqpTeXbkmWXw/FCBQwMLij/lotk/MzxU/2UfLRAPgDDzggK86JkyZlety+sx/rGUWMG7KXnLGvpUCvbQwNc3zXXT/IBssKK/xZw2Cg9kIyisIGGsi8qmG4pFEkqwAHjAbjscomCKrEDPQGBowJWWi8yKmSGKv567XfYAC9Y3GOGjWqx19EkR588ME5MCQs8Vo3gZiCz3/+85khcA8KhOUKgbKORcxapFwLBx14YNrrk5/MBTQoWlat37BS6zUoGuCg6ChFVjOLeezYsZlqwxaId+CrorQ1itB3fGeHHnpoBgh9uQmgUwvWhtQfCxjtRllTzDYcRW7TYgZsPhY2YOMdq23hggVpx512ys/2G/f40pe+lINojIUIXf447hd/xGiceuqpGVH7ntUu8Mb4seRvv/327Cv0PoCD6FuAA5NAqPgeOCKAABP/xh4YD8CMP9BYiwoWOKk/wJsxAhC22GKL/D2fHxBnDFg648ePLz685u/LQb9jAQODN+TAOlBPhmD0nF6izBktFPsJJ5yQZQlKHPC3x5YEBgB3exyDStHWM5rsW7LV/TCW9VpvzEDttWQDWS7IWh9rZVu9ezP0MBcMCroBY1BtfYEBbhNB3gDIJZdckgvqlNbcEeg3GEDts2T5diirBx54ICsnyBadJdADfd0IGLBAWcYABKsdxWUxs3qjEI+AF8rd5kFt2STRUEWQpOdiAvQNyIBcMQq+F4ULqFDW0CyrVwMQKOwN37thmnvV3MxK9AUGLEj3WG3VVdOaa62VlTDGQmQsah4dRqGzom30elRc9N1JDP0SWDNv3rw8BpgBf2w0TIbP+QyliQa40P1YDDQft4T39B3hQbn7t/4QLMYSoxIN40KZG1vv7jsUXxwrIiAwBICCY0qoR75K7AzAg00gTIype0UN8+Yux3K3oRqBAgYGb+SxdOQVmYQR5C6g4Ozva6+7Np3yta/l6qcAgO8Ae9Y3Fyy5Wz13j638+mmnpbvuvjsrSkZDvUaOkrWMODJlacAA9yXZiWlkjPR1UoycIh8xjPpAR9S2vsCA9yTfGER0BBlXWnNHoN9goNZNYGGjikwQ/75/82HXAwPobAo7mAGuBYuJIvQZytmCvvCbF6ZVVl4lv2kE0lGCFHw1WIWvmxLESLCSKWeR/9XGMoeaWb5eNuh6FjOFSOnF5ugLDFCE7jd37tzsbx/116PycUtInGtCX1n5jvxgQIxDbw265iJhfRsz/XL64u4Fd6e3vfVt2RXjc+CGMuYnhPz59ln+gf4BBqzIhAkfSXPmXJWteEDCWE2YMKHn8UBM5E/AgrDu3TcCAMVBuM+JXz4xbfn+LTOFF98BXP5vIwum1K9y5re5G3Go71bAwODPACvdPiQXUeBkKEXJ/cgFR4m6hrGFvWNcmCesp4ZFwEJO/2NZ86+ffnqOPagXjO0+5BFWc5NNNsnW+dKAgRtvvCGdfPJrrCFjq6/GgGOwcC3rfxgg1d/1BQa8q+eRr0AIGVtac0eg32CgXgAhOt+i4AeDcHfdddeGwABmABiwODADlKNFc/W3rk7bTt62500pbj4jz6HkLHgLHD3FdeA3rF0Wa08g4quv5k3Fmrd4sBg2TihIC5TrQPIOQATl3RcYYM3buNgQ53RXWnmldNCBB2WrnR+rCgb47wQoLqnxodmgxs7m5yah5IEbPjUInJAAFIAB77rhBhukq7/1rZ5zup7DDRFHj7ASwIB3qkYVGxsbEaIHIAgXoAK40Fgp7gEMePayyyybP/du2AsgwFwJXAIGCjPQ3I041HcrYGBoZsC+ptwBdfFNXHTkQAQakl/+jwkUeKeQDLdBBBlyfaLPMZ5LOtkjEDmYAS7DgYIBzyVPGYGXXXbZYoHR9e7J6MHceh/vxoCr1/oCA5hbbmCsNEDAdVpac0eg32AAMxD+aV2hRClH0e6UM0VB4QYzYAIpXTEDJpAVLgjE0UT3sgm4GKBfSooPHdWFCrdwIEKTr3iKa2ub720ijAFlbmNgGrgWKGxIW1AfIGAhsb7RWr5HmduIrGn983uggxVde7SQLx+1d8CBB6Q9PrFHVtgABuvaxgAGNM/nR2sEDPgd6p7i5u+3sY0hJgNI8b6oNZ8BROIhACjjB+FraEabnHsASyJmgMCoBQPeiVuAX9AGpdi3Hr91Ov+88/NciN/AlHB1GCsUpbk1hi/9+tfpgP33z24CsQKCLwsz0NyNONR3K2Cg9TNgP8Wx36DWnUpiNDCE+MFrLXsnsAB2rKvAZXIpaHc+eK7GOGrHGCOj5B+o3Z8AhT2Pbmc4LQkMkJfVo4XVa8U7kPVYjIi/8r0+kaHkMbcpYEKWkkdirchnfTcGWFyGTvWIYF9ggDwkv+kTxxzrnWBo/QyO7Cc0BAZMBN8xZWIiTYjFGROL3qdMKAuWM+uW1UmJm0BKzWcWGVr8oIMOTGPHvj8DA5QVBUMhU4iu95lkGjaJTVcpUQAAIABJREFU59lAlBJ/V72GoufTtvgoUn1zzNAmEkRnw1nc0DVFydKm3PngKGBWOYQegYQ2nWhVaJqCtbEAFa4BgAF48Z4Us/e0EaBfz9NPCTwoXX2q1jmo13fX2lSscveijG1am9o9+PEJCGMAiWNBPIf1T6DwndmgwJNnQd/6EILCZ6hGFJt3tzmxEe7j/sCSd2HxYxXidAAWgmuFz9LcECLGJxJKofzK8Z6RIxwKGGj9XJJDIVsYIUA5JpX1j/bGvtU2Rgs5KKBYHBDDgGwTV0TeYf/syYjxWWmlldPs2Ze+If+IfczwWLBgQZblEegdilwQIrlOHjLarAfsYZVtIOfIGbKO26GastjvvQOjiAwhaxlFQA7ZJgYMUCCLyGsB3BE7AET4zDPJq6vnzk0rrbzyYoBGsCLGkhzGYpLxpTV3BBoCAyaYtciSt4D5753PtzheeOH5nOCHP8sxNQvaYqVooD2BLxQxNGkRAgPuQ9lChhaVRfLJvfZKO++yS1b+lJJrKCDUmIW/pPzd+uF4DoXnOB7lzeoHXsQQ+N6JBJH0AAxFhv7eYccd0g7b75CBilgFLgjP9C4UOavbSQXvTCn7HCpldQMwjjFyRVjIu+6yS1p1tdUyIwL1YjcodYp7SQE2fo92s8EiGQkr3njrUzXqFpNgM/rO+NlwwMOBBx6YmROuFla75/ue0vd87+43xtZ8eJ7YBxuVIHHqwsb0TsbI9eIKXGsMuV5s8Jgrc+ne5UhhczfjUN6tgIHWjz63IKaP2w2zR1ZSarK2Cgys17gzGSCOCzIAAHBKkSyNpGbxO7IAsMcM1DbGBJnMeCDDIg2x68hf8pOBhO0kc7h6ybdqYiByEAsbxkXVVchw0D+KmozCaGArXQuoVBuZjCkIlwHWglHEBU0+Y5YFU1aPLAJFjEqgwm9L8aLmr9eGwAD6iXKo1yBHEwNFRnIJCwCSC9++mADfWxQQJMobmIAC+eH9TRG5z2sA44VMvVPMgIfv+iqs497u5Y/n2WjV/NcWGQBgc1n8Np/7hnVLgfpc806sf+9gE2lRlAmKtfD11e9tEOMDsbsWixJ99fy+qh3qlw1okQe15xmQPGVb6wf0nbHRX33wHnG0xxyxMmqfX/3c+JoLf+t3ZDl0DxvfO7u/OXBvjIH7GVd91fzf52VDNn9DDtUdCxho/ciTFWSQvWuv2Yf23ZJcbuSa3zAoIhcBGVabnTT2JZnU2/0wiFyBMgBiJEK2uBeWIWSX/1P0+laVP/pCcdv7tSwt2UBGuIfvvKt7hg6oji6ZS/6HnPIb8iZayN/qe3BNc01gH0oGwtas1YbAQGseXe5aRqCMQLuMQAED7TITre0HphNjiUXFRPZ1LLC1vWns7owvR7blVsGgltoEjY1bf68qYKC/I1auLyMwAkdAbI0YHqdOuJxKG7kjICbru/Pnp90/8Yl8HLGvKodDORLcDWIZsAiRFG0o+zOSny0wfZ999kldEydO7OarDip4JL90ebcyAmUE/jQCrENxOYJWBamuv/56qbu7jNBIHQFuADlenv3Zz9IHPviB9La3/Z82fdXutHDhPbmfEydNrJtCuU07Puy6BWzdcsvN6eCDD0ldK6ywQrcglXq+qGH3ZqXDZQTKCDQ8AgSBOB6xPqjY5ZYTu9Pwz8uFw2wEIoeBGIC+YrGG+tX0MeK6iqHautmwDsSLCW7tWmmllbpFuJYBb92AlzuXEWjHEUATCwwTOOr0TqS6bse+lj6VESgj0PwRELQpANQpla5JkyZ1O8damIHmD3S5YxmBdh4BgkDtD24CR7yq58fbud+lb2UEygg0ZwQwA2KGci6Z7bbbrls0YWllBMoIdN4IlADCzpvz8sZlBKoj0BNAOGXKlG7/Ka2MQBmBzhuBcrSw8+a8vHEZgeoINHS0UDKearAJV4KgDp/7dySW8LfP/R2/8bCogBeJKCTG6K3QjWsk1VAprx3z33uvSDwkUVCMgwQ+Ev7odzsf1VnS8hcvYvyd63WWV3KR0jpjBAoYGNx5JkPIVLKinpwjZ+xFTXKvvmSK+3H3hPzt623cn8ySFK0214DnkgX6FQGG/h9J2Wrv7fdLylcgGZt7uqZ6z9r7uC6e67tIjOZ3JbdAXzO69N83BAbUopaKVqYoC05hG6l5pdeUrz8iPgUfbb311jnznxTGUlPKfueUAiXpYdJKKvLTm19SSkz5sZ0pVbijnZpoa37Vb33rW+kXf8wQOPOSS3KWLu+l37JqSfcpa+Jwazah+gzSFvMdSf0pzXFpnTECBQwMzjxTqGqeKBlONlLGKoluuOGGPdn+ZBwkT1ynScXumnq1C3zv+m+ceWZad731chrfviqKAvtYYMrX9TIhRnv5lZdz8bLfvPJK+vQRR+Ssh5SywDJyDuiIFkae1O+yGtZrKs1K6y7tuntNmjQppz+vnmLQD6nrZRmkSz5z5JEsyPxcekfZe4WJpCceDkmSBmclNf8pDYEBClzOe4UnKDy5oeW8V62Q8rOwFd6QHMKigE6l2KX01SlQfMjkqzkgJaY82IBDvSYvvuxYsmSpdRCNolJco7cc3s0fmjfeUbS1/P/OZEPqd9x+e1p+hRVyTQM5wZUiXlJBpcHo40CfYRMqpPL3f//3uWqjQkfykJfWGSNQwEDr55lyo+QVEwO2GVXqBUhPrCYI+RHV+RhaZJ26J458ybxnP9ayCO6p+Jg6AMC72i8ARm+NQUMeYwUYXIyyULDuNXfu3FwLgTxnGKgjwKpXU0Ffyb1Q5NLFkxvz589PW2yxxRse6biqzIGK2Om7aomquZ5xxhlpyy237LmesndvcpQxaYyiSVMsSRKgoCaD57T7ccjWr6TWPKEhMODRCtso3uNvClEVLQvhiiuuSEceeWRGtiYxlDUESbFYYCpUsTwVspDhTDGf3pCkhWfxQ6uR+x5yVDAHilWla6iad4HmIWFIF0uA9bApVD7k/lB5kPtgODbzqf823amnnpoFUGmdMQIFDLR+nhVRU84dc4hdpNhZvtICqxmgqqtkQIwhSlQhH+yqImIqrVLOtcXBWPiUN2ufjKToewMD9jfW1bPJYWCkqlgZdyrPKmimaqznkef6LcpcQaXx48dnQEDmKXR23333ZTlYS+NjQMgSFRBdR3c4w052kpMMwqgdg9lwH4BB4SZ9qzbAhdH55JNPpPPOO39YMq+tX11L/4SGwUAgVpX0KIqjjjoqPx1rQEGbUEcTKUWN358yQfWrkGXxAANKeHooygdgoPDRWhF3YMF6ls9tFv/GRECTFpciFXG9Bed7f7vW57WFfeoNEcDh2ZR79flxrb4GHVb7PaCiotejjz6aN4HqgK5Ff9mEF8+Ykd75eqllIKbqG7RhoHDPDZ+g+7vOezvfXaXBqn5D4xPXRi6IKBKl39X+2qxRX9y7+q2xCXDlO8/znj7zHH88XwY6JZVZGzan30dsiL653nP1QYyE7zyv9t30xzPj3foq2LT0S7ncYWlGoICBpRm9xn5L7mEEnNxwlFMjv1QZxJhiX1nq9lgoSmwka/nd735XuuKKK7MijYYtdT9KmpL3tzLlvYEBbgcGFdCA3aw2Z8y/8uUvp2Xf/Obs4rWnyXNgwHPIO3I85JM0wQACyh9wqW2+J0cww37LnUpWYFCxpxgIpY2jPfbYY7maKncyZrK2Kb3sezJJxdTSmj8CDYMBCkTp3oMPPriHBbBgMQXiB1jKFjgkSDFDtCpMWaQQKOUADFgE3Ad8UBanUr8mWNlMroWbv/Od9J2bb85o2GKBTi029Ba/mY0hfzIl9e15304PPPhARrKC3aZOnZprf/dWTS8qBFpsFit/FhrMIttggw2yArUobYJFi36en/Hnf/4XeQOhzWyERsGATQzhosYoTff2Ph/72MdeZ1duSg8//KP0wQ9+MInJgOxtUFSh5nq0vfcHtDAQ+nHXXXflWA0KnrVAABhbJYa9n3HDutg8JhfNBlmbA+jc3zYndwwKEpBzbYA3lkmAAYDPdRgfAsYYTJ48OYMGcQU2OiHmue5tHbAifMfKAAw9w7thicx1ae05AgUMtHZe7BGlfQEB8oZcjEamzps3Lxs9ZFw0v0GPo/MZQ1W36fMvPJ/31Ju63pRlLhBhD/bmJgD8uRLICW5d8i4awwAQufuuu9Kxn/98lq/AfYCBCBKvjhA5RLEzDLEFtY3swjK4NxkQIIIx6XcYDP2OJmaAku8NDHA5GCdylTuhGufQ2pnrnLs3DAYMCUFvwlA6t9xySy5yQbGaXMiSIob6pDSlwCks/jEWIoXF2kSF8RcJisEq6MDhhx+er6MULWb3Pvvss7MPjL/JIqZgXDNu3LgcbyB+Qda0/fbbL99beUu0mt+NGTOmrl8J2HAPYMG9PY9vnAKmdClELg0ggGL2TjYt14B+AyKNggHuE+CHkKVEASCK04a3oCF447jF2C3SqHeOyuDEOFK2wZLwJRIC3mmfqfukM848I4MViNy7+G7PPffMG87GA4hsMiCHQjdWwAKgZuMZd3NA4Yvv4OsDRgAxFB5BRXH7rU1u8xl7lB5g4FqghJBQE927ERonnHBCfifXYg34FwEO62PFv1wxPfP0Mz3z3jlba3i9aQEDrZ0vCpV7FKUPFDOsQqHZbwwHdDrAr5EH/OvkDkUuGRRXrAYk2IPu8ZWvfCWtvNJKOXiQC6I3MED2eLZ9SaZGil/3u//++7PcwBjwyQP1DL0AA7UjQ95wZXh+vRgp78oYpCtGjx6dZXcwtrNmzcpyhWuZTAyQ0BcYYAwyGslVAKkac9Dameucu/cLDFCSX/nqV3PkKuVAsRL8cXrAyQII00RNmTIluwkC6VLYFKDFQyGinB555JFMcwkMRLm7vzrbFDslDCRoGAf3tTi5CShEis7iZ2lT7hQvC/e00/4hHXroYW84ioOudm8g4vrrr88xD5TmiV8+MVvOMy+emRWc92EJU3wWvc9sEha0DWnxNuImoGyxIAJjgBfKFSp3P/c2DgATXxhAgy4UnFnre/vJoz9J4z40Lq255pq53wAPEOB9jae+vfSrl9I+++6TAYx7EyiAhusBI++BAjxn2rR0yqmnpP0/tX/uB+XvPubA84EJfQ5mwLxcf8P16ZSvnZIFEQECoZtfAAoo8Zl3BArdx/vY5D4jmDAVNjIGpjfGpnO2W/u+aQEDrZ8bihh7SU6Sb/YGhtR+w+BNnz49y03KFGsKXGPm0OsTJkzIwIAcYAiYL/vN9eQXt6t728/hYqi+URhO5Bc5GY2hox/uT5aQ0/6NCSRvyZvaRlbsu+++mY0gw2pllv5T2AwusQcCAKORoZgRQIGRg2XU+gIDnkmekN8MOO9fWnNHoF9gwKNNMjpKkBwfPoWE+hFUCCBAmBYJhUUZxXEYi4yiELwi6MU1mAaKkLJCObOILRa0mAkHBiwsYMDnAQYonn333S8H3rzrXX/d44MPKh4zYfFHcIzP+bYsJJQVhE7xakCC61D5lCNWgs8sAiEBFsAFGvc+Nl0jYACaZy3buCxrNCCmgRIGLGx8Yzdz5syMxHuLkDU2xsE9ACLXQvh8+5O3nZy+eeE389EbloXvuW3QdtwBjvREMKN3EtcgUIkFAmEDXZQ/NiIa5E44KWNrbLh6Ig7ENZ5lPIAxAMG4+ONabA8mwtwBXvpY/W1zl265WzNHoICBZo5m7/e65dZb0jFHH5MNkdFrjE7LvWW57Prj8iMbonx0nOu334BusoQxYf9SxEA4RQxgv/jCC2nS5MlZHjIIMA+1pw64Fsla7gFyTCOjTj31lPSP11yTrrziymyUcUliGSlpBo097vNqwzSKc6Cc/V3byFvv5D7V57mO3CPPAA+nyyJ/Ql9ggHzRH/qFfGJwlNbcEeg3GEBdU4Z84RYfBBkUuEjRUaNG5WhPSpNPK1rEDAggjNMEwIAjhCYaGEAlUSAWypLAgE1hUVBcVT9aBMJRsLWLBa1FoXoOhc9SjYb61z/PRW8BDN5D4zrwnmh0CpeV3wgYQMtZ+ECJPrLwZ10yKyvhKhhwDeW6pOMyIo4xLOg1TAiqXyDRD3/4wwxwCBEWgs1nE7qfTay/XAAaqwSQ2PL9W2bQcOWcKzMY4Md0z3i+7wgfvzMmgB+2RACQZgy5JmrReSQsIpzMjTkwl6yM0tp/BAoYGLw5EuOEEVh+heXTvffcm5U62YMJqJdcJ05s2ff2NrbPmX1/AjTY39wOovEZTv6OFuf1WePAhj2skWn2MoMnjB+yWP8wCAwKBks1jsHvWPTXXXdtuuSSWfmaes37ke1cxGIUwk1ALh9//PGZVfYnWl9ggGzHKBsr8qkaczF4Mzeyn9RvMGDxsfr5oFnXFAVLFVVlkiw0ioM/CUXUCBgw0cEMLAkMYBVYvWgnLgIIEdvgeRY8gAJBYwYsrmqjHPWb8r3iisvTzjvvkr/2Ps74Uqa+93zImeLUgB8bENWN0QB0WL8ibOffcUca/fppAtb1Cssvn2a8frTQ+BhcgMi9Z106Kx3/peOz8qUggxngLog4gd6WmrG1IfnzgSy/B0ooapveO8QxIP0CNiIaOM7/EhaYAUjehvSeYhT8DhiIFswACyOCIIEGLh8bOpgB8ROs/wBVLB3sAzeOcSxgYHgJjgIGBn++7EkKE1UP0GMH6jUxPmQEMMCwwIyizaORD6x08pahgvavTVDEcMAMsPLJWo1Mu/XWWzMoiOYzxhYljuZn4FUTxHkWdgL7gDXszfW3aNGiHBfgWdwiXJDcwNYZcMNQqcqdvsAAFoPcIk8BAeCptOaOQL/BgMezdtG/JpjQFyhGoYe/n8I22dVMWBEzEEcL0UfopggARGNRNixTi6jKDECSlKYNQ/nxr1FqKHSuCRuAJU7BWags+VpL27WhAFn9/G/6AFgALr7zb4rPxvMs6FhwDSUKAPiN97BBLN7vzp+fVh89uifPAKTuaOE73vnOtNWWWyXZvKB00f3eySZ2DwqatQ8weC9goa9EGjao4EbIHv1vE/K9iawVwAeURRpoFoC4B/5DLheUok2POcAkeBfvK5+A+fD8aOYzrBSgAsCzmYEX4AM4Mvfm7oAD9k8HHnhQngfvQUC43oZ1vbk0dqW1/wgUMDC4c8RlaP9zu4qvAfDJP0peYLUjyxHkh9UE0v1h1Nhv1YbZJBeBAMYRhqBWnpBX5IXAROAiGkOiWqkWMGEIYXzJBoxB9V5Ahb4yaqpyQ58YY+7ve8YINzKZRRbIIMiFCczoH8VTdT8EGBCjUJtnQF+BEKyAsSDzCuPY/PU6IDCgGybVYjU5kX5XdD40ySdEKVQbl8Cxxx6Tbr75low8WbosScqcxUsR2wBQn80hCI5PCR1uE1CmLH6KCL3EehdLYJHwi0O0+sQqdTylXrMYRaRyU1jgkTAIMwClWsg2KAZC/ICjgPzrjz76k/RP/3Rtfs+HHnoof24D+R1lF3EFEoJQtqzmgw4+KM25ck4OVES5P/7E4+nxxx7PAUCUrd94T8rae9QL1Km+g+uNGYVM+Xs+H5o/oo4xBtGeeurJtOeee2XL3r0JECyAvrAuNFS+51MCrjFm/IWECcVOsFDqxtkcAToAmj6g/YA4ggMgRC0SRgCUNYEp4q4wZ37bWxrV5i/ncseBjkABAwMducZ/R2FS3Fg0VjUWT2CxoN9o9h5gL0jXXhOwy4hwaqCef97vnn/uubTW6wGE7lcvz8CLL76Y9zk5yw1K9tVrZDFFa18H2xjXkTnuTx7/4Ad3pVVX/VNwoXci8ylq8sHJMoYD1yYGhFx0qoCLloFUZY3JcAHkZBRAdNWcOWmdddftCS70fAYgJpj8ZUhFzFfjo1+u7GsEBgwGBMRBsazM8AdZSBkxfuxjae2aM+UsVcofVQQZCkCzSIAEi4xCR0eJoqXY+c622WabvFEs5Isu+mZ64YUXM8IUyc5Cd0/I2vcWF8otfP29vTh/2OWXXZYe/tGP8qbRf0xABLJY1DYB9sNnFDzFyDdmQRowlrJGyWNBxBmwlI0DwMICBzwgYzEHrtlkk00yyPAb1DqEjfrCnqDW+0K63hFSNx6RvRESt/FsuNp85NC/92BliC6mrI0dpA8MAW7mAsMAvABZ3sNxQ/PqfgQS0GTzUfjmjUDyLja1+6ADgTiRzd4dy2KeCT7PBZYEFjaSDKqvxVq+b90IFDDQurGNOzM27BmyAvi3lxy9q+4N+TkYIIA5mUieMVR6S9/u3vYrI8i+5NKsR92TsdycjDXAgmKt19yL3ALqJYyrnucnrxgIwP1hhx2ellnmTT23ILOxjfILYAPIAo38AR7IVe7cXXbZJcuDaiNryXJAST8ZJtjXqoHjOCQZw+CLhE2tn7HOesKAwUBkpoujIYYtstL5rFb4+45i8Scy6PlNXBefxTUWhT/V76MgUhWpWoT6gkFoVOF4FqtZxC2FVY+iF6H7m9fvWz2T67fVPkVOgOpn8e+o/kWxehcKtZrbO35bfc/ell9kFNSXAC7u5w/gVO8duG68p/5A+nFNdS6q41zv85iPmN/qnBEcTmHY5NGn2nu4vi8XSGdtufZ82wIGWj8vccLIfkWR97YvGDqsZXKDLG3W/qFsWd8AB4agv2nT7W3uDTKz3vFF/SZzapkJcpsc8pt6AZK1st71ZFa8d7igASkMw7rrrtv6yerAJwwYDHTgWJVXLiMwYkeggIERO7WLvRjqPjKuconGKaF2fnvsLxBgjYpnaNToa+d3ase+FTDQjrNS+lRGYJBHQIwMn67grTjrPshdKI8bpBHA5nErcFdyBVTZ3UHqQsOPEVjuFAEXQfX0QcM3KBc2PALcSFJRd73//e/vdjyltDICZQQ6bwSc4RZYJjiXH7u0kT0CAIHgREnb3vKW5dr2ZcWVASt9xYK17QsMo46JI5Prouutb31rN79y9ZjJMHqP0tUyAmUEBjgCaFc+XTEuZEC1cuYAb1l+1uYjYM794Z9vZ5mvj9ZjVE5t82Edtt0TnyHmQ5B810YbbdTNJ1MN7hu2b1Y6XkagjEDDIyD40ykgUd2Oh1WzczZ8k3JhGYEWjEAEWbfg1uWWlREAupxOkyuoa/vtt+92XLC0MgJlBDpvBCTbcixUzEBUx+u8UShvXEagc0dAfSHH6LumTJnSLYCgtDICZQQ6bwTKaYLOm/PyxmUEqiNQThOU9VBGoIxAPrYlkZRsd+U0QVkQZQQ6bwQaAgOyzAkuiix3kmfIciVTFJ+OBBnOr0ooIRhFMhrRn+1cv16fZcqTKVBtg9oMfoO1FMRoyEwm859shzIMlgCuwRr98pwYgQIGhn4tkJsi/GUprcpOMlUGUjK4moCI7JA4TapwgYDSg0dJ9ngb14jGr2YSrPemUVvAtVGYSBZENQM8Xxr1RtKKu9Zv9FcWQr+plzTJu5B7AlYjSZF3f+ihB9PkydsO/WR0YA8aAgNSRUo1KZe2JgOUYjgKAgk8kF5Trm356C1OBW4IFxPdjk0mLqU55eaX5tMgDEXyDRtHASHpO9UeUHOA77aa8bAdx6/0aeSNQAEDQzenjCvHutQlkKacYVCtryLNu3wAUqmHYvU3Bc6QUS/AsVByRNrfaHGtoFDz21smQ8+fO3duuu2225JqpWJGyCVF1YADcorMVEdFuuPINlodMdcwCNWWkeFQc1/5K6QWDgPHqQCyTqCaZ5DBCt1pshueeuopqavrTblKqgyJzcq+OHSzO3ye3BAYgOKUopRz3+TIea8+QFVpAQRSXWIEFNpoVyBgahyhsHlk4AJmBE4OFRhQPvT6665LXzjuuDxuNkEBA8NnA42UnhYwMHQz+W//9m9ZOXLRUJpkUxTioWTVKlAkTKGxYAwcAVMjReExtUkUGFPNVJ2QULwsbTVKKHrF1XpjBJwkETh6wvHHpy3Gju1hS2X7AzDcj5IXYObaas2AuKejqfpw33335SqF0i3LW0PBeDcGIt3x9NNPZ8PSu0athmqtAu8l14W//b63gkpDN1sj98kNgQGvr+COBWVhUJ61lBHaHUI1eViDeuixnYYRBWYTea+hAgMxHv/33nvT+A9/uICBdlogHdaXAgaGbsIZJ1yxjCmuyyoYQP37XBVAVjnmVcMeKBqETUDhYxUVXKNYyWgggtWt6qjA8N6q/Kl4Sl6rYpqzz3V1ZQUe5c6nTp2an+czzMDVV1+dC5jVNpkCVTKVKVB/NQZkFHlTpI3OYFh6JwBH1Vf1BmoLFylupE+Kp2EW6tUzGLrZGrlP7hcYUDHKQjOBvYEB2cssJGAAbYQy+tCHPpQXADcCsKC6VtUv7juL8rnnn0ubbLxJpu7je1UNoVso9bHHHsslLH0PJdtE999/f6bPLFCbIprroorg97///Zy0woYK+q0HDCxalObVuAkg6u9+d37eGGPGbJrWWWed/G/AAQ0XyTpUAERlQbH6qfH3eYbrvC8fXm3fXOf5qgTKBLbsssuk/fb7mwIGRu4+a/s3K2BgaKeIj52yJRMAglDeZBw5qnx6sAJkGeVN5kybNi2zmsAEeRRGGNeCEuJ+J69/PbqdAadOATlFTgeby1Uh9a/4JYBCTAIGAjOAZajNUCku4YorrsiKW5pjilxD+++88865kqHg1C222CJ/rv9Kr2Mb6oEBMpNhiT245p+uSeutu97QTk6HPL3pYABNpZTwlXOuTOdOOzcv0uOO+0K66qq5OeZA5aoLL7wwo1yLCArmv7fgKHU00lFHHZUR5syZM/O1FjiEqrNKWQqGEaNA4VswfiOO4ZJZl6Rll1k2nfb109L8O+ZnxMlvBQzYVBa4BejaemDAIr3hhhsyPbXBBhtkP5lELMp9+sOvd/zxx+fSy8CIe3kGHxhhqoLi2WedlWzEb5x1Vt5cEjnYdDYJ/55NCcB89rOfzcDB/wkA/VFa1LsXN0GH7L42es0CBoZ2MnoDA/V6Rc6QJQwkCrgeC4t3YTRnAAAgAElEQVSuBy64HnvL6b9gwYL0iU98IpdQR91HIyuVOuY68ByxYeedd14GF8qg18onsQtcAUcffXSOOcBSaJS668UiVF0VVTBA3tYyDfSCz8lcoEfMQ2mtH4Gmg4FgBijgb5z1jXTTv9yUF4RFxa+E2hJvwPfEev70pz+d1ltvvawIRaFaAJgAtJJFaTFTviis3XbbLStnPiXWt6AaC9mz+NQE36GllOe0INdaa638G4zB5ZdfnoGHWtj8YBR0dhO8zgzwcaG1DjnkkLTTTjvlRUhBuxY1FojXBiE4x44dmxc4ha+fnoPWwoLsscceeWPsu+++uW/67qSAWAuMh+8F6QjQsZFde9VVVxVmoPXrvTyhlxEoYGBol0Z/wABKntxkXY8bN+4NHadMKffZs2fnP6L6a1socJS+OCVyNhoXAzkLTNx5553ZNQF0kKn1She7XmVBjACZS3aTzxgNYIPcZbQxAGuZgXpgwDWACrcDFpjMLa31I9AyMAD9sfhZ9igiAIAvCGtAEd9xxx3ZNUD5cj9wH7DiRZhS/hYexW6BobDcg0WPPRCMsuKKK2alb6GjocaPH5923233dMaZZ6T/eva/0gYbbpCVMSXu2u9973v5fo7NWFwWcBUMoOAAFQVbXBvHa6DaPffcMy9yCxolR7mj8mw0faHwgQxMhj4p9nDoIYeklVdZJb9rPA+lt3Dhwsw8eM/YyLfeekv6+Md3LmCg9eu9PKGAgbZcA/0BAwwUMo+84QaobeQo2cZQIWvqKXDXkHeMKL77oPbdi2x8+KGH0t+ddFKm+sksTCgjTNxYvSPjggGxpmSda8g2TDD3AQPopptuSmPGjGkYDJD5wACXLJajlC1u/bJtGAxAeSzm3/3+d+lf/vlfFjv6opuoq5NOOilb+SYxwIAAFz4pEahcBr5Do0OcrHW+oVmzZvWcR41J5/9CofNpibYFHPjnsQkscD41wTEQKJoeQ2AR8o+5BqKEZkW4yiFgUXv2k08+kW699bYclFIFA9D04YcfnvvKHRCbjAtiypQpOS4AGHAMRqnXXXbZJd/PZoLSMQvcBtwbFrKI2jjby/q3IZynRXlB0dwHYhG0hQsXpI98ZEIBA61f7+UJBQy05RpoFAxwXXJhstpZ9fWUJJnFgMH2+LtevIBYJUyqmABHx3fccceecdEXsm3lPwb8fen44zPLQLYxkDCYjLLaBkDI2eJahs46666TXbYYYLEHTjpEqeS+3ATujZkQe0buAgORi6AtJ2+EdKphMECZosKBAtZybTETCwhi3XrcuLTHnnvmqFHMADCAfqf4Fi36+etg4LkMBviZuAd0Is6aGleo1aK30AMMiJ51bLEKBiziVVZZpVcwwC8PDFD8FpUN9JOfPJK+/e1/zvR8LRgIRX3vPfekNV4PRuQqADKeeeaZvKDFCIQvjFvDhlRv++KLL84ABMK+5dZb0oK7F/Qoe+9k8wlA5IsDbACGyPS2YMHdacKEjxYwMEI21XB8jeImGNpZaxQMOPlEUQu845Ks17gvzzzzzGxsBcNZe50ER45WYwXIYWxnNEF7hx16WP4OzU+WY2rFDZB1jJ++2kt/TIB0/AknpEsvvTQDBLkGojUCBhiAwABdAAy0++m0vsZjOHzfMBiwWClPVi2fEOu82kT6C377zJFHpomTJmU/OoqKhdwbMwBUcBOIMuU/BzBMvkUMRWIiKFcLY0lggFth6623XowZ2GijjTIy1odgBrgNVlzxL9P06RflBe59sBU2mKAYcQI2AHZBvzRolysA5YaJAD40v3ENfxqAgA6DwIEPbgIbBjjyO8AGAveeNga0LAASE2GRV8EAtF4yEA6HrTOy+ljAwNDOJ/kqQI/LkfKrl6eFEUJmsJq5TevR/67BBnCNnn322b1a1OQfOcdgI/fiOKBRoPQxngy58PPz+wMM3LzkGoWODdaHegGFZCW3guBF8rB6jXgF8Q6eUe80gT4YA6BHkLVTDKW1fgQaBgMmn5K2EPj/Kdk4ckcZU6LQpglmwbOELQYWs4AX1BbFaoIlKDLZ3AUCBvno0fz+sMApf757JwygQ6cGAArBiWIGttlmm7xZvv3teemd7xyVk28AAxaehYy98Dz0vvOsgvdUZBPpCg3bLIIZLW59QPuLBQA4KHHgQTyAewgexDBAxJF0ybT4HdYCoOEni4hd/YSmbRSxEI5Rii/ghrD5bHauBLEOgna4Va66ak4666yzs+tBH9/3vvcVQND6tV+eUBmBAgaGdjmQJ2TPHfPvSA89+FA+JljbyFmyS+C0oL96jZ8ey8q42muvvXrN4IfWZ9CQRe5JOUfjJhVf5TlioTCr5CcWl7uA/CW/PWOnj++Udtl5l8WsfnkNxCNsuummWd6Sv9VGl9ATcbRQvFe16VvkP/AOXMmltX4EGgYDuoJqRymdf9556U3LLJNpblS+YJbNNtssB5AINPEZesiEYwz4ow497ND0r9//12whB2WPtuffimQbFh2Fz2qWE4Ait0hZ7xQxqoniBjAEsaD1UWWR0YqCRWfxUVHkwISF67jj9753Z9pxx52yq4CyF8wHOWMwnHRg0cudANFSyMAG2l//nZWN38WUWNAAkMAYln6cC/Y594VNJGBSP91HICVgIKAwzthiBWwU72wDbTpmTDr6mGMyKCi0WOsXf3nCn0aggIGhWw3ympBH6H0GE+XMnVirJLkpMYeOIjO46jXugQjaruZdqXcto4zr9w+vvpruuvvunvosWAOGH2ZA0B9ZyCBjXDHmyGnssD5iMyhr7lSxApS4aylx70EuVmMWyH5ssdgDRtykSZOyUUUGR8MceL4YNIwrXVBa60egX2AguvM///3f6e4FC/JRQIFzKHnWbJUKYuFTtD7DElgUFKEGLHAHUN7cAax0PnTWNDQpUNCCsDEoV4oR68B6dw//hx5ffVURjrflhEYWqGspeveheLkF+PvFOzgKCCCg4N078nxbqPpn40SAC/DBmofW/U7ATG2gjt8AO4IEMQe1VJnYBkGCwAD3gHGqNlQfFA+ocI+g4Zy37S1TWOuXQnlCJ49AAQNDN/tkG6OIbCJHyC/uyHBJ6hl5J8cKuRrUfb0eY1l/88or6aMTJzaU159BxOJHxVfjtshIqdIlIMJqMmjIyJCDlDqlj9kUbI2NxXqusPzyacymm74hwDz6CmiQvRoXKzlKhlbZA3oD6CHXGU5cHqW1fgQGBAZa362lewIlC6A4v88f1qzqiRayzcgvR9ljLrAItek0l6735ddlBAZ/BAoYGPwxb4cnMpTEIUSWwWqBpKHoH9DDXcuFgF3FjpRjhYMzEyMODECV350/P223/fbpk5/cK33966dn/1szql8BGfz86DWLFuvg+GJf5UEHZyrLU8oIDHwEChgY+NgN919Ka3zuueel1Vd/d2ZTh6rIHCOLG5grWmI27tlmGXLDfY4Go/89YGCHHXboFtk53Bta64ILL0iPP/Z4Rrt8UQL6mrGooGjxDLJjSdEp+KYAgeG+Ykr/jQCGS9wKX7DsmKV1zggwbLhquRjCHTAUb8/VIG5CzBQXSUnLPrizAIgJHO1aY401ugXoWRjDuYkpEI8groCvCyPAX98MZgBdZXz4uaBnz/GM0soIDOcRsDdQs/zW2K4StzKcZ3NgfSfbIp5qKGUaAPBaPNirw14XDWwmhuZXZACGSOxI1worrNAtoG+4g4GhGcry1DICw3cECALpZAWuCeRqBos2fEej9LyMQOeNABkgH45YuK4PfvCD3c7BFzDQeQuhvHFnjwBBIKpcPhDnw51wKa2MQBmBzhkBMkCOHDFxXVOmTOnmMyytjEAZgc4bAcdjZbWTQCvSZHfeKJQ3LiPQuSMw4k4TdO5UljcvIzDwESinCQY+duWXZQRGwgj0GwxwIzgCIuAksuQJ9mh2Pn3P4cP0R1KLctZ0JCy38g7tOgIFDLTfzEQgX39kH7nZSLC0BG2CrVUDDNnd3+e5ni5487LL5oy0fTV9iyRytX30nft51/jOZ/zYkhP5U1prR6BhMGBiZKTyA1HHgoxk5hNVb/KWlBWrv69gwYhqlOpXIQx+jFLCsr+jWK4vI9D4CBQw0PhYLe2VlB7/rCykZCfZKhfKhAkTsryT3EwtAEeYfS8rq7S9MrBWm+OAjoNRmJr7ypgqhfCSGvnKJaw4kmN8FC0XkeqyDDvZWydPntzrqRIGmvgSpeN/85tX0l57fTJnjV1S0zeVah1flEY+SsT7jfwtN9xwQ5KW2X3UeZEtVovCTdIb16vXsLRzUX7/pxFoGAyINiYwTJhz+xaSXNSKCin44/x9NOl8Ke96VbUaGXypLuXYnjVrVl4Uzj7LGdCMZlGKmFQNq7QyAmUEXhuBAgYGbyWQb5QtMKBR+GoEKLImJbpKgooAdafu9OuXfp0/UxOAUVSVg4qoqesCFGgMNAl7VHtdUjv7rLPSd++8M99PGnnPPeWUUzIoASykdJf0RzE69VqqTQZWmQEVTVLB8CPbbJPWXmedPk+gOLamKJ2080BBlFaWYtmRdjlcgBRMw+qrr54L1ck+iL0Q3BoJ39Zaa63Bm6gOe1LDYEBxCbn4LbYooPHjH/84TzCFrWiPBiRYoApYSAk80Kbwxf6f+lR6+ZVXcuXAZoGBhQsX5sJG0d+B9q/8rozASBqBAgYGZzYpXPn2WeKsckAANa64GqaVxU0RK7i25VZbpnsWLsyVYpdb7q1ZQaqEqjHKXMNaVj2WRb/SX/1V2uYjH3lDHZR4M4aQYkfuN2fOnJxGXZG5j+/08XTEkUfksvTqDfheDhUycvfdd+9hLxh+yr5LDqSQkFoqjTRZYRUzUvlVnQE5LdQ0oPhlPPT9l770pQwGzjjjjFzWGEBQcAkYkdcFm8DAdJ9m6YJG+t5J1zQMBqTdReWorqV6VfiZgASLxAKH4lQrhDihv7XXXrvnqKJFH+eXTb7/R2GOqv/IxAMUFjcB5Z5VMGBBQ9YWjux/ChRFQ6+5t899D+X6dySywAiorMjdoXxnPL+TJry8axmBeiNQwMDgrAsuVqzA1KlTs7GzyqqrLlahlKHCECJvo6mv4tg3RUgpklsUJjZWmXi0fq0FX+9tyGlAg/yW+1+75pprEqMOAIgYMLKccgY21Hcht1VglaWSewMQUDK+0UZvqIBIrqsCq7IhMKAQnWdZe1GoCOOglD13gbFQBReAuv3229PRR/9t+vKXv7JYhcNG+1Cu63sEGgYDJs1igAbV0ragKFkLie9IzMDs2bPTP/zDP+RiPhatCVeRDx3mWlSYNJP//M/fTj/+8SO5aiF0LO6A8lcjG2K2GaJgBd9SgAGLiY9MymEKHWWkTKbnqDIIcUb8gs2iX0oco9gAA9W5lMS0cSBSZZf1u5QL7nuhlCtG9ggUMND6+WWsUMLKpY9effW0wYYbZsu7mi6dO5YFXI2RctyTPCWDpYtlMB1yyCHZoMEKkH/+r+pgbwmjWOEMOfJZPIJKqhqXrpiBqrXN/ctHz3WgTLHGZQsgkKWACnnK1dpXLBfmQd8cXWUgYib8rc/eQ2XCaiwAYw+j7DOGZYAEOkVf6BEApmoEtn7mOuMJDYMBPp9PfepTuZa2hWMRWxSs/4hCFYAiaYnJhlpNOOX/xS9+MStwLMLEiRMzOFAzABjwGXoMfU8gUc6oMDSWxSuoBhgw+WgjNBqqSn88i0I/66xvpPPOOz+jT4sTSFhl5ZXTE08+mX1NV155RRo3butcQxtVhS0ADCRXcaa62SchOmPplLccSSNQwEDrZxNrSeCSk+QoS53yPuKIIzKb2psiF0NAdlGOAgQpYtY5mSkgj9VOhlLeZGc944bxBFD86EcPZyPpLW/pPTqfOwITcfHFF2cGgNJmPLHwBTJGeWNWO9Yigv1qR1Asg/otAAtGljEJDOgz3VCveRcy3fPI96hP4J2POuqorBe899K4oFs/08PzCQ2DAZb6gw89mKmjO797Z6bvAQHxAaxzChbyNWFQpAUXqA69JSAQ7aPAj4YR+MUvfpGvHTVqVL4HP9XMmTMz4uQTU7VKBC0wIMAEANl///0z1eX5GIrvfOemvFG22uoDGYFaKBazIBoswgEHHJD23nvvHO+gT5Ct3OslwdLwXLCl160ZgQIGWjOuvd2VRUyxkY3koAI9ZFbtkTtMAV++CHvKsQoYyGRykoFz0UUX5RiAS2ZdktYY/cYMkgL1BPxxn2Jgl9QvCn+TjTdJZ519Vg5efPLJJ7MRR76z8LHC+i6wj+KmRGoZAtfqE3rfu3mvoz73ufRP116bTwgAL7UNyKAn3NdpMkWTor388suZUfEdhoSsL625I9AwGIjH8rtfd+21afZll2VkC4UCBMccc0xmCIABqPXBBx/MiFCDWCHNKhjADKCogIFf/vKXebGZYEqbpc5VQJFDpcAAtgHKhHzjJADqCPoMikxdbqAhTh/cc889mc3ALmAZMBLAALcEoFBaGYEyAq+NQAEDg78SKD9uy09/+tNpr0/ulc4797zFztOzhgEAbOjsS2end6/+7rqdpHhZ3pfOvjTL2I9t+7E3XEcWkn1YU0K/XiNrzz77nHTjjdenyy67vEdhCyocN25clr1OOQgCBEIEiV9//fX5jwJX0YAU7AdGg8x2YuHV3/8+n074l5tuylkuWfaMssihQHcw5OgPQen6Wm3eEdvsntYqEFVac0egYTAAWVKifPjQpf+jrfzRWNqQ3EDAwL333pstfkdW0PcWCDDARxQBhDZNoMbwdwEN/jjCiFUABkS6AgMWrDgCaHibbbbJi7iAgeYunnK3kTMCBQwMzVxS+AIKxTGxoFniGnl2+RWXp3k3zst+fpT8khrAQNZ97ZSvpd13232xSyln1DwZSwlT3rWNTKekgQlKm8UfjawX1IcRoJC5iSln8ti1FDSWNpp7Mep87wghGa0PXLvks4BHpwXoijh+7ruTTjopu22xD7Xli90T4ytuAcBw79KaOwINgwFIzMSi9zWTi97CCqDpUTcWY4ABaJIbQavHDKD8oUtHFZ09FRhD+Vts4gOef/41MPDSS7/Oyl2wDCSqH2IGwi9moWIDLHJgQJ8s6iWBAYgUDVVaGYEyAq+NQAEDQ7cSdtxxxzR69OjMnpJrZKsgvukzpqfjvnBc2nzzzfvs3MMPP5xjuMQexNHv6o8YRvzwQAdgUG2eh7o/Z9o56XOf/VwOuq66K8hXQEBQnzgCcWAseS5d8p+hJddMNIwH9wAZG/Fkf3j11ZzbwGkCOsT9/C2nARcA97NS84BAvaODwIfxATwAEHqmtOaOQMNgwBEW/isoNbIOQmv8OBQ4Kp8FDiFS8MCAkwQmW1KLSKTB34/aD/+YAEKRrhYwCkuQIMvfAjz44IPSr371Ur434MBvRpFfcMEFGV1CmXxIgg4t4GAGgAELygbgJoBqq8wA/5aIWs+FTEsAYXMXVbnb8BuBAgZaP2fkDZco698fShh975ghhpUMpEgxpSxg7k/+e4rZ72677bbs8uQmdbya8nQSwH1nz740/eu//iCdfvrX02qrveMNLyOQmiwke7l3Q9lT1iL+jzn2mLT3J/fOrgDMrPs72cU9QC5T+pQF2SojIuaCLgAOuAT0CZvrc+xxbRCj5xz9t3+b5l59dQ4mpxs02QxDt2AGVl555Qwg7r///mzYYRAYh1wYrqNLBCFW3RKtn7nOeELDYAB9LyDEMRhBgNAhNMoXjzGgxC1MwSyQG0tfzIC/oUHHCrkRBMM89dRT6Y477shUE8qHxe/IjYWFnoKULUanAwAOZ10xCZ5hMVD0FqTFsuGGG2bEyAUAiPhdnFAQF2BTiVwFIPSPP8piRJkJYnHfgWZK7IwlUt6yE0aggIHWzzIFJz7gHe9YLY0f/+FshDhzP+GjE9LBBx2cgQCZRd5RrBgBSpVydCYfe0AGiscSoyXS3zUU/AMP3J8Z0w99aFzdOi7uRz66v36w8slWLAEr2/0ZYeh5z2N8UcxkMkWPvcU8YBZY8U4n6AtDjPxmvDk1JrbL0b9q8J+RBRKsMSwvlwad4ZliIugVcQWeo0+uZXgCIPSHMXCs3KkLpzD0OYLTWz9rnfOEhsEAXxKFa7JY5NEcK3Em1TFBSBfqlLkKWnVCwIL1G5+ZRKcD9tprz/SDH9yV72MxoYwsaM9AV1Ha8hmIYoVgMQJYBwtC7IDEF47p2AiorzXXXDPnOBAla0Ppk8haz+OLigxf2Ajo+rrrrsvIFBCBehsp7NE5S6K8aSeOQAEDrZ91CpYcxFiy6hkyGE3Wt1MC4gcEVDOyahvgIMh6+x22T08/9XS2yt2P3OWOJUcp2Fpfe5W6F5MAEGBTyWz0PJmrP7WNzMSoOtGF3WW4kbtOEZDP+s+/z0J3koxs5tMngyn42rTBdAB3MiaEgUb+YkDIc/2gO6pN0iFuZ8e/tccffzwbcPQCV3Fhc5u/XhsGAzFhJs2/KWNUF6u6WlEKqhT0p/k+Jg3aQ/X4P5rewrfgqte4p2vitxagazwjFHbcx3P81kL1HbopKnb52+YCSDT/j2dZlPoPbaKfChBo/qIqdxx+I1DAQOvnLGQn+UMekZtVGUSmkYHhZ6/tkesjmyp5R76Rpz4nB/tqDC4uCb+TMyD89b09jwytHmUM2a6PPieXwx0Q7+bewEG9SotkN/nrnX3vWp/Va77XP3+797XXXptTFWN9S46BvmZ6YN83DAYGdvvyqzICZQSGwwgUMDAcZmnp+yjXisA97gpHt9u9NDAAwq0sXTL3NLdBb+zH0o9OZ9+hBwxst9123b2dP+3sISpvX0Zg5I8Av7HobwFi6N/SRu4I8P8LwlMcSUBiOytX8WaCv8MdzT1RWmtGQFA95qhr/Pjx3QJCSisjUEag80aAD1pwlpNBkSys80ahc974uV/+Mv3s2WdzEHW7sgPcA2rfcCU4PVZcuq1dn2LspIzuWm655bodGSytjEAZgc4bAelxCV35OUrhrs6YfxR8Pd9+O729gHBxEYBAbZBhO/VzJPTF/ncar2uVVVbpFp1fBnwkTGt5hzICjY8AYSuC3fEwR3b7qkTX+J3LlWUEyggMhxEAthzVd2y1a9ttt+0WYVpaGYEyAp03Ao6cOXbr+Jcjb6WVESgj0FkjIGZAYqquKVOmdJdKfp01+eVtywjECEgDK+NcCSAsa6KMQGeOQDla2JnzXt66jMBiI1COFpYFUUags0dgQGBAoIHEGRJI8DVIQFFNHjTch1Q2Lb4TdKlaCK1oArbkC1eNrFnpkAUEydQVqUxLlq5WzNzIvGcBA+09r/Z2JHvTU3EdjZ4CEAemtoFkQdIQCxCV8EfiIveVBCiqJTY6CvpCDzjqVxuE6Dv3j6A/z/NvwWkCVBtJkNRoP8p1zRuBfoEBE/zoo4/mbFA//elPc+pfi8miVGRDKU6TPdzb5ZdfnvNvf/WrX811tVsRccslozKZ58j3PZBmk0d2Rb+34dG9CofIeb766qsP5LZt8RvrigApx4kGZzoKGBiccR7IU+xxKYOVHmZECPSUy9+ZcGl7l7RH/FYtAPFgZLSUxow4qYnVESDbGDyKIjWamh0IUA/GsT81ZRQmigZgqFLLKAECPEtqeKmE1SUAFCQ9kka5tPYagYbBQC5Ledtt6e9fr1po8ShkYXKVq6RAd9l55/S5o47K6HM4N0k5rrpqTtp1191y8Y5WKCRFN5znlglsoEe5nn322fT000/nPrqHueDzxTg4LzqcE3QAM8Zn1KhRw3kpDZu+FzDQvlOlRsuhhx6axowZk2sKULRKFasLIM//kvY5w0ABIdkGVQCUKlhVWcWB3FOCKdUCFX877bTTcrGgvhpgQf6rCUPBV3/DUBSMqpBdGCqHH3ZY2mfffRN5pdS9/quPUABBXyM9uN83DAZMoMIRagqoSlVFkegnC0pFQRULVQZs56xWfQ0xqxT65f5oBdXuCIe0mhA01DyQBnErGqIwlDLSQb1hbwC34UzFqWZmDamU2Ugt94GMX/nN4iNQwED7rogvfOELuXwwJU5ekE0UPEV85ZVXZou/XgMiFHJTKfb444/P8kxGP9dvtdVWaebMmblwnAqyisqx9oGNJck8v1fwjStVFUXl5QOwc09iK1S2VXwummeES2PRokX5u3HjPpS+9rVTyjHWNlp2DYEBCA+drVCEv1mdtf4qSilqT0OOSkwqWKQ4BiqL1apKIWSKFq+34EIJW1Tuz4+llKWmyhXfVrSoDY4y8zk2wvVR7MPnnuU+EKmN4B5ReIMytTD1z3XACxeH74Gb+H01EZPP/cZGcK33iEJJiiqh8BRa8hzXeA8UnHtU2YVLLpmZbrxxXt7IxoEv7Xe/+316+9v/Io8RxkWfvAvw9ex/PZu6/9Cd6TgIXlPxC6sgrgEAC1+c5xszqN299dk9jZF39Cxj5f/GwPt7pxgf8Qvm2318p+/64Z7GVx/c13fGSH/0t+pK8UwuC9fE9+YhikSpthblSj2bZWMsjZHSqBSTMquElXPv7tEKdqaN9uGQd6WAgSGfgrodQLsHtQ/8Y8uicI+SxeYNaK5t9trZZ52Vpp17Xrrzzu/2VP9TWdBvTj755FwG2V62tz/wgQ/k6oks95Axtfe0nzEClD85goEESPyfjGAkSmsNyO+w/fZprbXXXqzIXNxPemF/FB0CTMrebo+11xAYsCCVEFYwQn3rHXfc8Q0TGKhw/vz5uSwlmujSSy9NCmNYfNAnvxelZSEqRVltFvjjjz+WrrxyTj7ipLSn5uyjtsMOO+R62u5L2UCkCxcuzApYHIPF7DkWqXLGCxYsyKWPoWhuDPdHze+xxx5ZKd5ww/Xpuuuuz8jUZnBPpTeBjMsvuzzdc+89uU43pGyxUlqUk2dRpM8880z22/GFQchzr56bN8Pvfvu7tN9++6Z//Mdr8rvLqS3Va1BilKw4BEu26AsAAA9pSURBVOPJd8Z3p6Qy5bjqaqumW2+5NZcNRQN6P35Cv1E+GrD47Gc/k9Zcc61MxYk7EBcA5XtXG9vmlEDGeNu83DcmWTlSY+WerIrddtst56JHx5tf99/ovRulIz9zZL7O79yHxcA3qPQohe/5b3/7inmMfa5PSoqOHTs2z9Oin/88zbr00uy+AEL8mTRpUjr88MNzTXQASNrLY489Jv34x4/kfpoD7IaUo4QEhsk8+N1HP/rRTHEO1JXSHtus/XtRwEB7zhEWERjA9ik3DBxrUkdjF9UWUPa4tonpUqLdnmWcRbVD58jJHKAA06uRmWQ6wG5fM95qG2OO8hZ/gOI/8cQTs8wIMMD4YZT4P3lKzpOd9n1teuv/+Pd/T1uPH5/dFNwcVSOvPWehM3rVEBjgIlA2ksWLqqpHS1EglC1hj/6mnCl9yoZys6BZkgS92tt8VlUBD1lSnnKjW/SUnIBEVqNEKH7rvpAppYulsPi4K9RUcD9ggR8NuuW74kvffbfd0qqrrZaVK4U8Y8aMvFBRXd4Dun7iiSfy4uYzY+lT3jfffHOmzSh77Stf/nK6/Y47MjPCGgcwIHLvRhlS2n4PMO0zdWraYuzY9KMf/SgDIhQdxKyxeG1Sm4albTz9/u0rvj3t/PGdsxIEIPSPwqfEvdNDDz2U38933hVd53unEdybdY4toFQpYqDFBrVxAThMAUDFYgcEjIFrCQTADDAwBpQ/wOTd582blyuFERSEyemnn57ZHuO29dZb5zlxf8CNEAG4zNH3v//9PAdAlDXg3uZL342f77fffru0ww475v6YR3Ntbbi/9/G+7sFPat6K9dBagVTAQGvHd6B3Z8yQMffdd18688wze2h8IBolT67ae7WN0qaMJ0+elC66aHr+GntJrpDJDLZdd901f27P+TclTrauvfbai93OvrZnAXV7EyBh/VeZAf0kk8g/e5c8BBa4BMjcalyDughYiLXXWSfLJrKrtKEfgYbAAAuQArRIoFCKvraxLvm2KCrlJiE+iuGCCy7IymCzzTZLfMGQKStcJH1t2lPolxI/8MADs98JMAAYgANAw8KifGwCFidFjt5mcVKqfGPQK1YAaBDHAJlSZP7PuqWcuTAsRhY9xb/xxhvnTcAy9Y7oOKwAhai/fG981/oketbCpsQgW1nbbrn55jR6jTVyHwEAbAZLn3Jm1VK2WAWb6txzp6X7738g/5+C416hWPWBNR654fUHiID+bRbsgN9A8cYO1b/77rtndsKYGIfoEyBjY/od9oCC33vvvfP76APAQ/FT9r7jkkDdGzuUn6AjwsLzjRcwQmCYX9XOfA+EER5+DxQYcyAE6+EdsB6oSkJLHwgb93QPQsV9zCeLw9jqE4aE4ufnNFf+b1xKa/0IFDDQ+jEe6BPIAnLIXrcnyTPAmfA++uijswyrNnv8xhtvzIYMucfY0MhdBoH9a/9hEwMM2K/YTntu/fXXX+x+9r71gYG0vxluXJSMNyxDNcjXd/Y9oGCvM5roBL+LxnBkZLgvo6gWfAx0nMrvlm4EGgIDlIyFaKIhOZZ9raVmgileVjwAYPJZha6HUlmmixb9PH/+y18+lxdJvShYi9QitpAACo3SYY1Sbo77AQtrrLFGRr76hB6nDLkQlOW86aabMlCgJFm++mrTUJKUG2TLqrZILeR99tknK3++MrQaMOBdAgz4jcWvP8cee2ym01jwgAHGIRSm31DCAIKgGbkKvC9WhaJH27PubQTAQoOegSsb01hFzgHvb0NTjJRr5HPwbNQglB9ggAXtc64aiJ3yxebw7wMmrmORcw9oNqvND1AZQ2Pnvf1tTggMwMC7OZ0AZAF73p9g8l7mguvEe/DzcwEBP+YGkxApbQkufTf/5sY9gDzWCUbhD394NY0Zs2keT3QmRsg7uxdgCKCV1voRKGCg9WM80CfYrxdNvyjNmD4jvfirF9Pmm22ejQgAnqFkv1Ybo4psI6vIS39rPicLyEdKHEughZuAwWG/k63VNm3aOWn69BlZhpKx9iowwrgTPyaosV4Ka0YL+Qf0k23RgAByh+wj78seH+jKaO7vGgIDKCCL6I75d2QF+6m/+dQbAgApFlaiRWpBoeiBARQRJMpv1B8wYAFTYKG8gAEsgcXH2uZzx1JE1DxQAJDwP6GogIFQ5hRdgAGUGmADYOgbhWNRoqnFDLBEARpKNX4P3Pg9RU5BovdtUH43StuYoN6BAfQ8oFMFA+5p0/LXU4TuG365//iP/8iI2/NZ/sGWAB8UrHdEr0dD/UcAnzlBo3t+b2DAxtc3QIBVQTGzEGxQfSQ0bHCNRRFBf96ZG6QKBtzD5sXE+I0x5FIQoEl5m2fjTuHrfzT3xR4ANVgj/cUYYEQKGGjuhh7o3QoYGOjIDc7vKGDxAxT2b3/z27T31L0zO0g+cN/2Bgbs2ZCjriGvGA9cq2EoAfUAP8BOBoU8iHsyzhg4jIXIbaIvZCCjAPtQfUb8jnzAKjK+GBfRvAMwQFYyLqrybXBGszyl3gg0BAb8kFKgIC0aSpQiqTbCHRVNqVF4lDJfcIABVJBFBymyYClM9HRtC2ZApCsqWxNRz6oEKLgeUM7Q5cyZF+f+dHW9KVu5KC5KLpSSfljwwID7cVcAAzYP5cUfH3EKrHBKzHXuwwUQYMC7uS+LnpK0CW0EdDfAE3R2PWbgb/5mv7TxRhunS2bNyuwA4MFXH0EzvYEBrIPxAz4kEmJhs84BFeABi0HJ9wYGxEHY1AEGvJs/wADghHb0XhQzn6QxYmkEJRmJl+oxAwEGghnwO7Q+IOi+2AWWR9B/PsdQUDiEhnkRaMpVoy/egbAzB9wEmBpAqLgJBk9oFTAweGO9NE8C5I895th047wbcwyPvVt7jJvCtnewdBS5eJ1orHUKmkuT8UPBk0HYSfLd/qzNRiiQ2B6Pirb2KtmHEQTuuflqXQuex708dZ+p6fPHfr6HCfV5uAn8mzxrJLfB0oxZ+W1jI9AwGGCRmngBgoQ56zzak089mf34v3rxVxkB8pFjEygz1jPBzj//i1+8BgZ++tP/zMq4XhRpgAEKH7VESaH3+c4tXs/FDlBiLPzDDz8srbTSytkfDWHqI2vfwq72k5JHnwMDlKT72CQUEV+Z5Bs2D7DBj0U4AgOu49cGBCBZYMC/ARRMARBCcdoonukaSpayfuih19wE66y9Tpo+Y0YGAajxUL6xYSh3m5F7IkDWXXfdla1u7gD3dQ10LkpYHwgF33MFCFwEakT0AzFAT4CBcBNwg1R9i8bBZ+98xzvSEUcemWMAvDfr3ThjDPQ3wADwBUw4xWGTez/WATcB14jP9AkzIBaB1e/frAD9JZT0DcMybdq0nP0MwNPQhNYLMABABFA5//zzM+NhPdWCz8aWd7mq0REoYKDRkRq66+wve/3MM85IJ518crbIe4vEB84ZZxjVKkVvP5I/9jO5xSVATvs3ww1Ap6wpewqeC6L2GLl+MHzEBUSeATKUIWGv+kNfiFVY9ItFafpF0xfLe8LtbO/b9xiK6vHtoRvd8uSGwYChQvtAo9CcBUXg8xtRLH/253+WzjzjzOw/Yn2KPmXVAgL88xamBUrRWDh8TnxWtWdaKXLKANqlbFFXomg3eu970znTpmWlQAnxK2MAoFS0OWCAMmNpUvyO3oi0BRwoVEgYurWI+csxGOuuu1466KAD8xE6CoySAhQoPcffHG2jENdbb730wx/el4488jNZuVFq3ptCs5EoeIoMk2Gh+40jcZSrxQ7QCGZkpaPtIijOe1x00TfTOedMy7ECaHnWPsvac4AR42RjGVOBj8YfsrdhvafNiOngGyQYPFu8gHfAmqD9KHTXuB/h4DrsDOBkA3uWMQSMKGDP4lLg1zfOFLiNb3M7DeHeXBRiQXxmLNxb3zEfhJSgS3NhHgkUoNBv9Zkl4kSFeRZ5TBFxj3ANeR5gp28+A4Tq5bUoW7e5I1DAQHPHs5l3Y4HbM6z9kKcMgSU1rjt7RzwA46AKGjB7ZJhYJjE6QID9xhiyX8lVMUxkJCBfG+0PDJCnZAIDhmVP3vo9YwVTgPVlqJBHtZa/39EdnkkeR+6XZo5ZuVf/R6BfYMDtKQ4TzxIFDiiud73r3enDHx6/2PlUipJ1GrT0mE3HpJ/958+yJa2hoiir2oUWzIAgRcDC87AKFErVOqTYLXLAwll3CtLCplws9kiFCUxQphRvBOG5L2aC4ubLFnegLxaxzYbW1ihxIANr4H6sXyDBgucqoFjjOxa4++X37f5Dev8W788nC15+5eX8W8E7NghWIeICKFEbD/PgGla5TRJImcL3PO8jXgJqF4th88RRTAyCIEiAhHJ2T31wvbgE4wQwub//Q+TxfGOCxSBoPBOAwa64j3f1/p6DlXBSwL3c27tgIZ56+qn0P//9P/kz88ntAkwBBO4LcLA8JKNiXQCDWAQN+MACWEPmRwMMvT+BBFy5RrBkOXrU/43d318UMNDfERu868lSQbtkLZlTG+BXryf2qBNWlHFY7HEdWUBO2qMYOXLPfcPdIG6IAUGeis2qVdbu7fSQfWvP2/uYUvcjq+xjLl1ytl6hN8YdhpmhwgAprT1GoN9goLqgLCQLqJkpewMMfPGLx6Vjj/18Vjy9IUeLmqKLiPX+DqnfYw0ozkbfwW8iVXF/Chj5nTiDgaRpjgpgrUq8E/PYn/fpa6zjfaNiWV/Xl++HdgQKGBja8V/S0xkLAHd/U4wD+/IC/O///r80e/Zlbzi9RbYGMK99fsQH9De/R8jj3t6HMcDlKy4IO9jfd2rfWRr+PRswGGjVq6PW0U0y3Z188tda9Zhy3zICZQQqI1DAwMhcDpIAkaWbbz42fe5zn60btD1Yby6eipsQm8qlWoDAYI18Y89ZDAzwmw9VQ0ejmETRR8U6PmR++7JohmpWynM7ZQTE9QjUFYNCWJc2ckYA83fhBRfmIOFtP7btgNjJpR0NLkP5WNQgERdUWvuNAFe3uenaeOONu6G2oIcGu6ueyxcvBiDqYPNj8z0NhFof7P6X55URGK4jgAqOWhQYglI2erjOZP1+R8Eyfv1IrDbYbyjoUAyUQGaynvFXWvuMABkgwNspsq43v/nN3e1QMILfWsciucVQgZP2mabSkzICrR8BwlpMi2CwZsaOtL7n5QmNjACZGsHcjVzfimusq5Drrbh/uefSjUBUle267bbbuoviXbrBLL8uIzBcR8C5cxakUx/9DRobru9c+l1GoIzAn0aAQSCo9P8DH2FuBeYD/VQAAAAASUVORK5CYII=\" width=\"515\" height=\"751\"\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003ePerceived importance of folic acid supplementation before pregnancy\u003c/h3\u003e\n\u003cp\u003eMost respondents (94.7%) considered folic acid supplementation before pregnancy important. Notably, awareness varied by contraceptive method; it was highest among copper IUD users (81.3% rating it \u0026apos;very important\u0026apos; or \u0026apos;important\u0026apos;) and progestogen oral contraceptive users (72.9%), and lowest among users of birth control patches (13.3%).\u003c/p\u003e\n\u003ch3\u003eMaintaining proper body weight before pregnancy\u003c/h3\u003e\n\u003cp\u003eMaintaining a healthy body weight before conception was considered important by 91.5% of respondents. Notably, the importance of this aspect varied by contraceptive method: women who used the contraceptive ring (43.3% rated it as \u0026quot;very important\u0026quot;) or progestogen-only oral contraceptives (49.2%) were more likely to emphasize its importance compared with users of progestogen implants and copper IUDs (12.5% each).\u003c/p\u003e\n\u003ch3\u003eInfertility Diagnosis\u003c/h3\u003e\n\u003cp\u003eOver half of participants (51.8%) believed infertility diagnosis should begin after one year of unprotected intercourse for partners under 35. Among users of progestogen oral contraception, 39% favored diagnosis after six months, while 38.2% of binary oral contraception users preferred immediate diagnosis (Figure No. 2). For couples over 40, responses were evenly split between immediate diagnosis and a four-month waiting period.\u003c/p\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003ePerception of Male Infertility Factors\u003c/h2\u003e\n \u003cp\u003ePerceptions of male infertility factors varied by education level. Ejaculation disorders (37.4%) and hypogonadotropic hypogonadism (24.3%) were the most cited, with awareness of hypogonadism increasing with education. Testicular inflammation, mechanical trauma, and seminal torsion were also mentioned (14.1%) (Figure No. 2).\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003ePreferences for Contraceptive Methods\u003c/h3\u003e\n\u003cp\u003eThe most prevalent method was oral two-component contraception (30.3%), followed by condoms (27%). The highest prevalence of non-use was observed among women with higher socioeconomic status (36.2%), who also expressed a preference for advanced methods, such as hormonal intrauterine devices (Figure No. 3).\u003c/p\u003e\n\u003ch3\u003eProbability of Pregnancy During Ovulation\u003c/h3\u003e\n\u003cp\u003eMost respondents (97.7%) correctly assessed the likelihood of conception during ovulation as high, while only 2.3% rated it as low or impossible. Awareness was particularly high among individuals with a high school education (97,7%).\u003c/p\u003e\n\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003ch2\u003eKnowledge of Sperm Survival\u003c/h2\u003e\n \u003cp\u003eAwareness of sperm survival in fertile mucus was high (90.9%), especially among respondents with higher education and socioeconomic status. Figures 4 and 5 show the distribution of responses, highlighting lower awareness among individuals from disadvantaged socioeconomic backgrounds.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003eAwareness of Women\u0026apos;s Fertility Decline with Age\u003c/h2\u003e\n \u003cp\u003eThe recommendations for initiating an infertility diagnosis exhibited significant variation according to the age of the couple (less than 35 vs. more than 35 years) and the respondent\u0026apos;s educational attainment (Fig. 6). Among respondents with a Bachelor\u0026apos;s/Higher education, the most prevalent recommendation for couples under 35 was to wait 1 year (59.3%), while for couples over 35, it shifted considerably earlier to 6 months (51.9%). Conversely, respondents with a background in primary or vocational education recommended immediate diagnosis more often for couples older than 35 years (14.3%) compared to those younger than 35 years (8.2%). This pattern of advising earlier diagnosis for older couples was evident across all education groups, though the distinction was most pronounced among those with higher educational attainment.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eThe Importance of Quitting Smoking Before Pregnancy\u003c/h2\u003e\n \u003cp\u003eSmoking cessation before pregnancy was considered important by 98.1% of respondents overall. In particular, 85.6% of women with higher education rated it as \u0026ldquo;very important\u0026rdquo;.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\n \u003ch2\u003eFolic Acid Supplementation Before Pregnancy\u003c/h2\u003e\n \u003cp\u003eThe vast majority of female respondents (94.7%) regarded folic acid supplementation as an integral component of pregnancy preparation. Women with higher education levels were significantly more likely to consider supplementation as \u0026quot;very important.\u0026quot;.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\n \u003ch2\u003eSources of Infertility Knowledge\u003c/h2\u003e\n \u003cp\u003eWebsites (79.4%) were the main source of infertility information, followed by doctor\u0026apos;s visits (8%), while social media, books, and scientific articles were less popular (Figures No. 7 and 8).\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\u003ch2\u003ea) Findings and Interpretation\u003c/h2\u003e\u003cp\u003eThis study demonstrates that educational attainment and socioeconomic status are pivotal factors influencing both fertility knowledge and contraceptive practices among women. The primary objective was to determine whether education level and socioeconomic status influence reproductive health awareness and contraceptive choices. The findings indicated a robust positive correlation between contraceptive utilization and elevated fertility knowledge scores, consistent with observations in diverse populations [2,8,9,10,26]. Specifically, participants with more advanced educational attainment exhibited significantly heightened awareness of factors influencing fertility, including age, health habits, and lifestyle risks [2,9,12,27]. A notable finding was the association between higher education and a preference for advanced contraceptive methods. Specifically, women with tertiary-level qualifications exhibited a higher propensity for hormonal intrauterine devices (IUDs), with a usage rate of 76.6%, while those with secondary education demonstrated a preference for the contraceptive patch (56.7%).This finding aligns with previous research highlighting that individuals with greater formal schooling often adopt technologically sophisticated contraception [7,29,42]. Socioeconomic status also had a significant impact, as individuals with higher incomes generally had better access to healthcare resources, received comprehensive counseling, andreported better fertility knowledge [10,20].\u003c/p\u003e\u003cp\u003eConversely, the study identified that individuals with comparatively limited education and lower socioeconomic status tend to have less fertility knowledge and use less sophisticated contraceptive methods [1,34,35,43]. Despite the online recruitment strategy, underrepresentation of these groups was observed, underscoring the necessity for more inclusive health education targeting underserved populations.\u003c/p\u003e\u003cp\u003eIn summary, the study demonstrated that contraceptive use is closely associated with fertility knowledge and that both educational level and socioeconomic factors substantially affect reproductive decision-making. These results highlight the public health importance of ensuring that women of diverse backgrounds receive sufficient information on\u0026mdash;and access to\u0026mdash;a broad range of contraceptive methods and accurate fertility-related guidance [9,12,39].\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003eb) Results in Context of What Is Known\u003c/h2\u003e\u003cp\u003eEducation level and socioeconomic status significantly influence contraceptive use and fertility knowledge. Higher education is linked to preferences for advanced methods like hormonal IUDs, while lower-income women face barriers such as limited internet access and fewer healthcare facilities, restricting access to reliable information [1,2, 7,9,10,20,23,34,45]. Women with secondary education often prefer simpler methods like contraceptive patches, consistent with prior studies on accessibility and cultural norms [24,42,43].\u003c/p\u003e\u003cp\u003eThe preference for simpler or less expensive methods (e.g., the contraceptive patch) among women with secondary education is consistent with prior studies documenting that those in lower education brackets often select methods they perceive as more accessible or less invasive [24,42,43]. Cultural norms further complicate matters in regions where discussing reproductive issues is restricted, perpetuating misconceptions about hormonal or long-acting methods [10,11,25]. Conversely, developed healthcare contexts, such as certain Western European countries, frequently incorporate systematic reproductive counseling into standard medical practice, thereby encouraging higher rates of informed contraceptive use [1,7].\u003c/p\u003e\u003cp\u003eMoreover, the limited knowledge among some demographic groups about age-related decline in fertility, lifestyle risks, and optimal timing for conception aligns with earlier research highlighting global deficits in fertility awareness [2,12,30]. For instance, studies from Africa and Asia have shown that women face significant educational and socioeconomic barriers that hinder their understanding of fundamental reproductive concepts [10,11,21,25]. In such circumstances, cultural stigmas and healthcare infrastructure gaps can further exacerbate misinformation [22,23,24].\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec19\" class=\"Section2\"\u003e\u003ch2\u003ec) Clinical Implications\u003c/h2\u003e\u003cp\u003eThese findings have important clinical implications for healthcare providers and policymakers. The strong link between higher education and advanced contraceptive use highlights the need for expanded health education initiatives, particularly for women with lower formal education, using accessible and user-friendly formats to counteract misinformation [6,14,36].\u003c/p\u003e\u003cp\u003eAddressing socioeconomic disparities requires culturally sensitive outreach, mobile clinics, subsidized family planning, and ongoing training for healthcare professionals to bridge gaps in knowledge and accessibility [10,16,17,20,24]. Counseling protocols should provide clear explanations of contraceptive options, enabling informed decisions tailored to individual circumstances [3,5,19].\u003c/p\u003e\u003cp\u003eIntegrating reproductive health education into routine care, such as checkups and community workshops, can reduce persistent gaps in fertility awareness and enhance family planning outcomes [15,20,31,32,33]. Periodic evaluations of these services will refine best practices and improve outreach to underserved populations.\u003c/p\u003e\u003cp\u003eA comprehensive approach to reproductive health education and service delivery is essential to promote informed choices, reduce unplanned pregnancies, and improve community well-being [2,9,16,38,40].\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec20\" class=\"Section2\"\u003e\u003ch2\u003ed) Research Implications\u003c/h2\u003e\u003cp\u003eThis study's cross-sectional design highlights the need for longitudinal research to examine how fertility knowledge and contraceptive preferences evolve over time [2,9]. Future studies should assess the impact of socioeconomic changes, policy shifts, and health education interventions on reproductive decision-making, offering insights into causal pathways [14,20]. Cultural and regional differences in reproductive knowledge, influenced by beliefs, practices, and healthcare resources, also warrant further exploration [10,11,24]. Mixed methods approach, including qualitative interviews, could clarify the interplay between psychological and social factors in shaping behaviors [17,19].\u003c/p\u003e\u003cp\u003ePsychological barriers, such as stigma and misconceptions about hormonal methods, remain critical for understanding decision-making and should be integrated into future research [28,34]. Evaluating the efficacy of preconceptions and family planning counseling programs could help identify best practices for improving fertility knowledge across demographics.\u003c/p\u003e\u003cp\u003eFinally, assessments of models like Reproductive Life Plan Counseling (RLPC) and integrated contraceptive care, combined with longitudinal tracking, would strengthen the evidence base and inform strategies tailored to women's diverse needs across regions and life stages [20,24,41].\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec21\" class=\"Section2\"\u003e\u003ch2\u003ee) Strengths and Limitations\u003c/h2\u003e\u003cp\u003eThis study's strengths include the quantitative analysis of a large sample of young urban women, with validated survey measures enhancing the reliability of data on contraceptive use and fertility knowledge. Although women with lower education and socioeconomic status were underrepresented, their inclusion allowed for exploratory comparisons of diverse backgrounds [9,18,44].\u003c/p\u003e\u003cp\u003eHowever, the cross-sectional design limits causal inferences, and reliance on online surveys may have excluded women with limited digital access [1,9,10]. The predominance of highly educated urban participants may reduce generalizability to rural or disadvantaged populations, who face unique barriers to family planning [1,10,34]. Self-reporting and limited exploration of cultural and psychological factors are study constraints [13,24,28]. Additionally, regional variations in healthcare and cultural norms may affect the applicability of findings to different contexts [4,11,43]. Notwithstanding the aforementioned limitations, our findings underscore the significant influence of education and socioeconomic status on women's fertility knowledge and contraceptive practices.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec22\" class=\"Section2\"\u003e\u003ch2\u003ef) Conclusions\u003c/h2\u003e\u003cp\u003eIn conclusion, this cross-sectional study demonstrates significant associations between contraceptive use, fertility knowledge, education, and socioeconomic status. Higher education correlates with advanced contraceptive preferences, while lower educational attainment typically indicates reliance on simpler, cost-effective options. Furthermore, socioeconomic status critically impacts access to care and information, driving significant disparities in reproductive health awareness. These findings, consistent with existing literature, emphasize the necessity for evidence-based interventions targeting underprivileged communities to enhance fertility knowledge and contraceptive decision-making. Through inclusive and targeted approaches informed by robust empirical evidence, healthcare systems can enhance reproductive well-being for women across diverse socioeconomic backgrounds.\u003c/p\u003e\u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank Dr. Tomasz Wikarek for his invaluable guidance and support throughout the research process. We also express our gratitude to all the participants of the study for their time and valuable contributions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of Interest Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflicts of interest regarding the publication of this article. The research was conducted independently, without any external influence or bias from commercial entities, funding bodies, or other organizations. All authors have approved the manuscript and agree with its submission to \u003cem\u003eThe European Journal of Contraception \u0026amp; Reproductive Health Care\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding Details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors did not receive any funding for their work on this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors confirm that the data supporting the findings of this study are available within the article and its supplementary materials.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted in compliance with the ethical standards outlined in the Declaration of Helsinki and applicable national and international guidelines for research involving human participants. Ethical approval was granted by the Ethics Committee at Komisja ds. Etyki Badań Naukowych Akademii Śląskiej, approval number Nr/2/KEBN/2025. Participation was voluntary, and informed consent was implied by the completion and submission of the survey, a procedure explicitly approved by the ethics committee. Participant confidentiality and autonomy were strictly preserved, and all procedures adhered rigorously to ethical guidelines for research with human participants.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eEuropean Parliamentary Forum for Sexual and Reproductive Rights. Contraception Atlas 2024: Access to Contraceptives in Europe. Brussels, Belgium: European Parliamentary Forum for Sexual and Reproductive Rights; 2024. Available at: https://www.epfweb.org/node/1042. Accessed October 30, 2024.\u003c/li\u003e\n\u003cli\u003ePedro J et al. What do people know about fertility? A systematic review on fertility awareness and its associated factors. 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Evaluating the implementation of the Reproductive Life Plan in disadvantaged communities: A mixed-methods study using the i-PARIHS framework. PloS one, 15(9), e0236712. https://doi.org/10.1371/journal.pone.0236712\u003c/li\u003e\n\u003cli\u003eGetahun, M. B., \u0026amp; Nigatu, A. G. (2020). Knowledge of the Ovulatory Period and Associated Factors Among Reproductive Women in Ethiopia: A Population-Based Study Using the 2016 Ethiopian Demographic Health Survey. International journal of women\u0026apos;s health, 12, 701\u0026ndash;707. https://doi.org/10.2147/IJWH.S267675\u003c/li\u003e\n\u003cli\u003eEngstr\u0026ouml;m, E., M\u0026aring;lqvist, M., \u0026amp; Niemeyer Hultstrand, J. (2022). Family planning practices and women\u0026apos;s impression of the reproductive life plan in Eswatini. Sexual \u0026amp; reproductive healthcare : official journal of the Swedish Association of Midwives, 32, 100723. https://doi.org/10.1016/j.srhc.2022.100723\u003c/li\u003e\n\u003cli\u003eHall, J., Chawla, M., Watson, D., Jacob, C. M., Schoenaker, D., Connolly, A., Barrett, G., \u0026amp; Stephenson, J. (2023). Addressing reproductive health needs across the life course: an integrated, community-based model combining contraception and preconception care. The Lancet. Public health, 8(1), e76\u0026ndash;e84. https://doi.org/10.1016/S2468-2667(22)00254-7\u003c/li\u003e\n\u003cli\u003eBamigbala, O. A., Ojetunde, A., \u0026amp; Okorie, C. (2022). KNOWLEDGE OF OVULATORY CYCLE AND ASSOCIATED FACTORS AMONG REPRODUCTIVE AGE WOMEN IN NIGERIA. Medical Science of Ukraine (MSU), 18(3), 94\u0026ndash;102. https://doi.org/10.32345/2664-4738.3.2022.14\u003c/li\u003e\n\u003cli\u003eBarron, M. L., Lithgow, D., Wade, G. H., \u0026amp; Luckey, G. M. (2022). 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A., Luck, M., Kyweluk, M. A., \u0026amp; Feinberg, E. C. (2020). Knowledge gaps in the understanding of fertility among non-medical graduate students. F\u0026amp;S reports, 1(3), 177\u0026ndash;185. https://doi.org/10.1016/j.xfre.2020.08.002\u003c/li\u003e\n\u003cli\u003eHickman, L. C., Fortin, C., Goodman, L., Liu, X., \u0026amp; Flyckt, R. (2018). Fertility and fertility preservation: knowledge, awareness and attitudes of female graduate students. The European journal of contraception \u0026amp; reproductive health care : the official journal of the European Society of Contraception, 23(2), 130\u0026ndash;138. https://doi.org/10.1080/13625187.2018.1455085\u003c/li\u003e\n\u003cli\u003eMu, Q., Hanson, L., Hoelzle, J., \u0026amp; Fehring, R. J. (2019). Young Women\u0026apos;s Knowledge About Fertility and Their Fertility Health Risk Factors. 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M. (2018). Contraceptive behavior of Portuguese higher education students. Revista Brasileira De Enfermagem, 71(suppl 4), 1706\u0026ndash;1713. https://doi.org/10.1590/0034-7167-2017-0623\u003c/li\u003e\n\u003cli\u003ePodolskyi, V., Gemzell-Danielsson, K., \u0026amp; Marions, L. (2018). Contraceptive experience and perception, a survey among Ukrainian women. BMC women\u0026apos;s health, 18(1), 159. https://doi.org/10.1186/s12905-018-0651-8\u003c/li\u003e\n\u003cli\u003eBlidaru, I. E., Furau, G., \u0026amp; Socolov, D. (2015). Female Romanian university students\u0026rsquo; attitudes and perceptions about contraception and motherhood. The European Journal of Contraception \u0026amp;amp; Reproductive Health Care, 21(1), 39\u0026ndash;48. https://doi.org/10.3109/13625187.2015.1066495\u003c/li\u003e\n\u003cli\u003eSzűcs, M., Bit\u0026oacute;, T., Cs\u0026iacute;kos, C., P\u0026aacute;rducz Sz\u0026ouml;llősi, A., Furau, C., Blidaru, I., Kapamadzija, A., Sedlecky, K., B\u0026aacute;rtfai, G., \u0026amp; Scientific Group of the collaborating centres (2017). Knowledge and attitudes of female university students on menstrual cycle and contraception. Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology, 37(2), 210\u0026ndash;214. https://doi.org/10.1080/01443615.2016.1229279\u003c/li\u003e\n\u003cli\u003ehttps://ec.europa.eu/eurostat/databrowser/view/demo_find__custom_12795007/default/table?lang=en\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Appendices","content":"Appendices A, B, and C not available with this version."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-womens-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmwh","sideBox":"Learn more about [BMC Women's Health](http://bmcwomenshealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bmwh/default.aspx","title":"BMC Women's Health","twitterHandle":"","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Fertility Awareness, Contraception, Health Knowledge, Attitudes, Practice, Socioeconomic Factors, Reproductive Health, Infertility, Female","lastPublishedDoi":"10.21203/rs.3.rs-6893652/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6893652/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e\u003cp\u003eThe purpose of this study was to determine the level of knowledge about fertility among women using and not using contraceptives, and to analyze the impact of education and socioeconomic status on reproductive health awareness.\u003c/p\u003e\u003ch2\u003eMaterials and methods\u003c/h2\u003e\u003cp\u003eA cross-sectional survey was conducted online with a representative sample of 1987 women aged 18\u0026ndash;76 who voluntarily completed an online questionnaire. Participants were divided into groups according to contraceptive use and education level.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eThe results showed that women using contraception had a higher level of knowledge about fertility than those not using contraceptive methods. Higher levels of education and better socioeconomic status were associated with increased fertility knowledge and greater likelihood of contraceptive use. Differences in contraceptive method preference by education level were also observed - higher education was associated with the choice of more advanced methods, such as hormonal IUDs.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e\u003cp\u003eThe results of the study suggest the need to expand access to reproductive health education and to redress inequalities in fertility awareness among different social groups, which may contribute to improving reproductive health and the quality of family planning.\u003c/p\u003e","manuscriptTitle":"Differential Fertility Awareness: Unveiling the Impact of Contraceptive Practices, Educational Attainment, and Socioeconomic Gradients Among Women.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-22 16:14:16","doi":"10.21203/rs.3.rs-6893652/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewersInvited","content":"","date":"2025-07-15T09:19:21+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-06-17T05:56:11+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-06-17T00:33:38+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-06-17T00:33:14+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Women's Health","date":"2025-06-14T11:14:41+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-womens-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmwh","sideBox":"Learn more about [BMC Women's Health](http://bmcwomenshealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bmwh/default.aspx","title":"BMC Women's Health","twitterHandle":"","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"91026491-dbdd-43a8-943f-29c04f73a9d4","owner":[],"postedDate":"July 22nd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-07-22T16:14:16+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-22 16:14:16","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6893652","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6893652","identity":"rs-6893652","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}