Unveiling the Landscape of HPV Infection in Tehran: A 14-Year Prevalence and Genotype Study

Unveiling the Landscape of HPV Infection in Tehran: A 14-Year Prevalence and Genotype Study | 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 Unveiling the Landscape of HPV Infection in Tehran: A 14-Year Prevalence and Genotype Study Nader Hashemi, Behnam Mahdavi, Fatemeh Eskandari, Alaleh Alizadeh Halili, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8904178/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract Background Human papillomavirus (HPV) is a highly prevalent sexually transmitted infection in the World, particularly among young adults shortly after they become sexually active. Beyond its commonality, HPV is a significant public health concern due to its carcinogenic potential. Globally, HPV is responsible for a substantial number of cancer cases annually, including the vast majority of cervical cancers, as well as a notable proportion of other anogenital and oropharyngeal cancers. Methods: This study examined the demographic characteristics of 6418 individuals (5988 women and 430 men) tested for HPV using data and samples collected from patients visiting a Saeed pathology and genetics laboratory between 2011 to 2024. HPV DNA was extracted from genital samples, representative of both female and male individuals in Tehran, and analyzed for the presence of HPV. Genotyping was performed by real-time PCR and Reverse Hybridization methods for the identification of high-risk (HR) and low-risk (LR) HPV genotypes. Result HPV prevalence was assessed using four diagnostic methods: INNO-LIPA, HybriSpot, COBAS X480, and Sansure Kit, yielding positive detection rates of 52.5%, 61.5%, 17.2%, and 52.1%, respectively. The proportion of positive HPV test results varied across age groups, with the highest prevalence observed in individuals under 40 years of age. Men referred for HPV testing were more likely to be infected than women (63.3% to 40.8%). The most frequently detected genotypes overall were 6, 16, 52, and 31, in descending order. Notably, 74.4% (517) of patients reported no symptoms and were referred for routine screening. Among HPV-positive individuals, 69.4% (163) were asymptomatic. Conversely, 23.0% (106) of HPV- negative individuals reported at least one clinical symptom. Positive HPV rates were 56.3% and 24.5% in single and married subjects, respectively. Conclusion This study contributes valuable insights into HPV prevalence and genotype distribution in samples collected over a 14-year period in Tehran. The high prevalence of HPV infection, particularly with high-risk Human papilloma virus HPV prevalence Sexually Transmitted Infection (STI) Asymptomatic HPV Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Human papillomavirus (HPV), a highly prevalent sexually transmitted infection caused by a double- stranded DNA virus, poses a significant global health challenge ( 1 ). HPV are ubiquitous pathogens capable of infecting cutaneous and mucosal epithelial tissues, leading to a spectrum of clinical manifestations ranging from benign skin warts to life-threatening malignancies ( 2 ). While commonly associated with genital infections, HPV can affect various anatomical sites, including the hands, feet, larynx, and, most critically, the genital region where persistent infection with high-risk (HR) genotypes can progress to intraepithelial neoplasia and invasive cancer ( 3 ). The global burden of HPV-related cervical cancers, with approximately 690,000 new cases diagnosed annually in 2018, underscores the need for continued research and improved public health interventions ( 4 ). There are more than 200 HPV genotypes present, a subset of which are implicated in anogenital cancers ( 5 ). These are broadly categorized as high-risk (HR-HPV) probable high-risk types (HPV 26, 53, and 66) or low-risk (LR-HPV). Approximately 16 HR-HPV types, including 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 68, 73 and 82, are strongly associated with cervical cancer development ( 6 ). Notably, HPV types 16 and 18 account for approximately 70% of all cervical cancer cases globally, while other HR-HPV types contribute to the remaining cases ( 7 ). LR-HPV types, a group which includes but is not limited to HPV 6, 11, 40, 42, 43, 44, 55, 61, 70, 81, and 83, are strongly associated with benign conditions such as genital warts and are frequently detected in benign or mildly abnormal cervical tissue ( 5 ). While LR-HPV infections commonly result in warts, persistent HR-HPV infections are etiologically linked to several cancers, including cervical, anal, and oropharyngeal malignancies ( 8 ). The etiological role of HPV in cervical cancer is further underscored by the near-universal detection of HPV DNA in cervical cancer specimens, contrasting sharply with its infrequent presence in healthy uterine tissue ( 9 ). Although many HPV infections are transient and asymptomatic, clearing spontaneously within two years, persistent infection with HR-HPV genotypes represents a significant oncogenic risk ( 10 ). Factors such as host age, immunity, environmental conditions, and viral characteristics influence the likelihood of disease progression. Individuals with compromised immune systems are particularly vulnerable ( 11 ). Fortunately, cervical cancer is largely preventable through primary prevention strategies, including HPV vaccination, and secondary prevention through screening programs. Clinical trials have demonstrated vaccination efficacy in preventing incident HPV infections and cervical intraepithelial neoplasia ( 12 ). Although cervical cancer incidence is declining in regions with robust screening and vaccination programs, it remains a leading cause of cancer mortality among women worldwide ( 9 ). Understanding HPV epidemiology, including type-specific prevalence and incidence, is essential for developing and implementing effective prevention strategies, such as vaccination and screening programs, to reduce the substantial morbidity and mortality associated with this widespread infection. Given the diverse geographic distribution of HPV genotypes and variations in infection rates across different regions, understanding the local HPV epidemiology is crucial for optimizing vaccination strategies and tailoring cervical cancer prevention and treatment programs ( 13 ). The documented association between HPV infection and cervical cancer, especially in women of Asian descent, highlights the importance of ongoing surveillance and targeted interventions ( 14 ). Furthermore, the disproportionate burden of cervical cancer in low- and middle- income countries underscores the urgent need for improved access to HPV vaccination and screening programs globally ( 15 ). Statistical data underscores that cervical cancer ranks as the fourth most common cancer among women worldwide, with a particularly high incidence in low- and middle-income countries ( 16 ). While several studies have investigated HPV prevalence in IRAN results have varied. In Iran, according to a 2018 report by the Institut Català d’Oncologia and the International Agency for Research on Cancer (ICO/IARC), approximately 917 new cervical cancer cases are diagnosed annually ( 17 ). Cervical cancer ranks as the 11th leading cause of cancer among Iranian women ( 18 ). Given the established link between HPV and cervical cancer, screening programs employing cytological examinations and HPV typing remain crucial. This study analyzed Human Papillomavirus (HPV) testing data from male and female clients at Saeed pathobiology and genetics lab in Tehran, Iran, from 2011 to 2024. Demographic data (age, gender, and marital status), clinical history (past positive results), test methods, and HPV genotype outcomes were examined. This research addresses the knowledge gap regarding HPV prevalence and genotypes in an Iranian population presenting for cancer screening. Specifically, it focuses on both men and women, addressing the paucity of data on HPV prevalence, particularly high-risk (HR) genotypes in Iranian men. Given the continuing public health significance of cervical cancer, this study aims to provide valuable insights into HPV DNA positivity, genotypic identification, associated demographic characteristics and clinical signs, and the distribution of high-risk and low-risk HPV genotypes across different age groups. This data will inform targeted HPV prevention and management strategies within Iran. Methods Study design and clinical specimens This retrospective cross-sectional study leveraged data and samples collected from patients visiting Saeed Pathology and Genetic Laboratory 2011 to 2024, to investigate HPV prevalence in the Tehran population. A total of 6,418 genital samples, representative of both female and male individuals in Tehran, were analyzed for the presence of HPV. The study population was carried out to aged 13 to 75 years, acknowledging the age-related changes in HPV prevalence. The study population comprised both male and female outpatients referred from various specialists (e.g., gynecologists, urologists, dermatologists) across Tehran province. All participants provided written informed consent prior to sample collection. Sampling methods differed based on sex and indication for testing. For women, cervical specimens were obtained through standard cytology (Thin Prep) as part of routine cervical cancer screening or through direct cervical or vaginal secretion collection by medical personnel when HPV testing was requested outside of routine screening protocols (e.g., in virgins). Men provided two samples: pooled swabs of the urethral meatus and penile/testicular/inguinal skin, and a first-morning urine specimen. All samples were stored at 4°C upon arrival at the laboratory. HPV DNA Genotyping HPV DNA genotyping was conducted at the Molecular Genetics Department of the Saeed laboratory, commencing with sample pre-amplification and DNA extraction. DNA extraction was performed using the High Pure PCR Template Preparation Kit (Roche Diagnostics, USA) according to the manufacturer's protocol. Polymerase Chain Reaction (PCR) analysis of the extracted DNA was carried out over a 14-year period, utilizing four distinct genotyping methods. These included the INNO-LiPA HPV Assay (Innogenetics, Gent, Belgium), the HPV Direct Flow Chip (HybriSpot, Spain), the Cobas X480 HPV test (Roche Molecular Diagnostics), and the Sansure HPV G26 Diagnostic Kit (Hunan, China). Key characteristics of each genotyping kit are summarized in Table 1 . In addition, from 2011 to 2019, qualitative PCR with PGMY primers was performed alongside HPV genotyping by hybridization methods for initial HPV screening ( 19 ). For each assay, HPV DNA extraction, PCR amplification, hybridization, and result interpretation were performed strictly following the manufacturer's recommended procedures. Genotypes identified were subsequently categorized into high-risk (HR) and low-risk (LR) groups. HR genotypes included types 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73, and 82, while LR genotypes comprised types 6, 11, 40, 42, 43, 44, 54, 55, 61, 62, 67, 69, 70, 71, 72, 81, 83, 84, 89. Table 1 HPV genotyping methods comparison: detection methods, genotype coverage, and limits of detection of methods Method Protocol Genotypes Detection LOD Ref INNO- LiPA Reverse Hybridization LR: 6, 11, 40, 42, 43, 44, 54, 61, 62, 67, 81, 83, 89 HR: 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 68 pHR: 26, 53, 66, 70, 73, 82 GS: < 50–437 copies/reaction ( 20 – 22 ) Hybr i Spot Reverse Hybridization LR: 6, 11, 40, 43, 44, 54, 55, 61, 62, 67, 69, 70, 71,72, 81, 84 HR: 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73, 82 GS: 50–500 GE ( 23 , 24 ) Cobas X480 Real-time HR: 16, 18, OH (31, 33, 35,39, 45, 51, 52,56,58,59,66,68) GS: 150–2400 copies/ml ( 25 ) Sansure G26 Real-time LR: 6, 11, 40, 42, 43, 44, 54, 55, 57, 67 HR: 16, 18, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73 5-500 Copies/reaction ( 26 ) LR: Low Risk, HR: High Risk, pHR: possibility High Risk, GS: genotype specific, GE: genome equivalent Statistical Methods Specimens were characterized based on reception date, age, gender, test result, positive history status, marital status (single/married), and presenting clinical signs. Data analysis was performed using IBM SPSS Statistics version 26. Descriptive statistics, including frequencies and percentages, were calculated to summarize the sample characteristics. Categorical variables were compared across subgroups using the Chi-square test. The independent samples t-test was employed to compare continuous variables between subgroups. Statistical significance was determined at a p-value of < 0.05 for all analyses. Results Demographic characteristics and HPV prevalence This study examined the demographic characteristics of 6418 individuals (5988 women and 430 men) tested for human papillomavirus (HPV). The age of participants ranged from 13 to 75 years, with a mean age of 35.6 years (Table 2). Table 2. Demographical and virological characteristic of across all participants Total HPV Positive HPV Negative P-value OR LR HR Total 6418 2718 (42.3 % ( 3700 (57.7%) 1593 (24.8%) 1871 (29.2%) Female 5988 (93.3%) 2446 (40.8%) 3542 (59.2%) <0.001 F/M 0.4 (95% CI: 0.33-0.49 1379 (23.0%) 1713 (28.6%) Male 430 (6.7%) 272 (63.3%) 158 (36.7%) 214 (49.8%) 158 (36.7%) Mean-Age 35.65 34.19 36.72 33.89 34.24 SD 8.51 8.47 8.38 8.83 8.20 Marital Status 899 296 (32.9%) 603 (67.1%) 135 (15.0%) 241 (26.8%) Married 652 (72.5%) 160 (24.5%) 492 (75.5%) <0.001 S/M 3.958 (CI: 2.908-5.387) 62 (9.5%) 132 (20.2%) Single 247 (27.5%) 139 (56.3%) 108 (43.7%) 73 (29.6%) 109 (44.1%) Regarding gender distribution, women constituted the vast majority of the study population (93.3%), while men comprised 6.7%. Overall, 42.3% of cases (2718/6418) were HPV-positive, and 57.7% (3700/6418) were HPV-negative. Stratifying by gender revealed that 40.8% of women tested positive for HPV, compared to 63.3% of men. A Chi-square test indicated a significant difference in the proportion of HPV- positive cases between women and men. While the difference between the groups' percentages was 22.5%, the test of equality yielded a p-value of 0.05, confirming the assumption that men referred for HPV testing are more likely to be infected than women (Table 2). For subsequent analyses, participants were categorized into five age groups. The distribution of cases across these age groups revealed that the 31-40 age comprised the largest proportion (2945/6418), followed by the 21-30 age group (1774/6418) (figure 1a). The proportion of positive HPV test results varied across age groups, with the highest prevalence observed in individuals under 30 years of age (Figure 1b). Furthermore, the distribution of both Low-Risk (LR) and High-Risk (HR) HPV genotypes across different age categories, stratified by gender, indicated the highest prevalence in the 13-20, 21-30 and 31-40 age groups, respectively (Figure 1b). Analysis using the Mann-Whitney U test demonstrated a significant difference in age between HPV-positive and HPV-negative individuals (U = 4,094,544.5, Z = -12.74, p < .001). The mean rank age was significantly higher in HPV-negative subjects compared to HPV-positive subjects (Mean Rank 3,461.87 vs. 2,865.95, respectively). This finding suggests an inverse relationship between age and HPV positivity, indicating that older individuals were more likely to test negative for HPV (Table 3). Table 3. Comparison of age distributions between HPV-positive and HPV-negative groups using Mann-Whitney U test Distribution of HPV genotypes in a referred population distribution of human papillomavirus (HPV) genotypes in a population referred for HPV diagnosis indicate a total of 2718 infected cases were identified, with 34 distinct HPV genotypes detected. Figure 2 provides a visual representation of the prevalence the top 18 frequently genotypes each identified. The most frequently detected genotypes overall were, in descending order: 6, 16, 52, 31, 53, 66, 51, 11, 44, 54, 42, and 39. Within the HR group, HPV type 16 exhibited the highest occurrence, accounting for 453 cases (7.1%), followed by type 52 with 228 cases (3.6%). Among the LR genotypes, HPV type 6 was the most prevalent, observed in 789 cases (12.3%), with type 11 following at 44 cases (2.6%). Figure 2 illustrates the relative frequencies of these genotypes. Analysis of the totally detected genotypes revealed that 1592 (24.8%) were low-risk (LR) genotypes, while 1871 (29.2%) were high-risk (HR) genotypes. Notably, 751 (27.6%) individuals exhibited co-infection with both LR and HR genotypes. Further analysis examined the prevalence of HR and LR genotypes within gender subgroups. In females, 1713 (28.60%) HR genotypes and 1379 (23.0%) LR genotypes were detected. Males exhibited a higher proportion of HR genotypes, with 158 cases (36.7%), compared to LR genotypes, at 214 cases (49.8%) (Table 2). Across both genders, HPV-6 emerged as the most prevalent individual genotype, occurring in 11.3% of females and 25.6% of males. Single infections represented the predominant infection pattern, observed in 1463 cases (22.8%). In cases of multiple infections, double infections were the most frequent manifestation, present in 664 cases (10.3%). The most complex infection observed involved the detection of 10 different HPV types in two individual cases, identified using a comprehensive diagnostic protocol (Figure 3). Analysis of HPV history and symptomatic presentation in patients referred for HPV testing This study examines the HPV history and clinical presentation of patients referred for HPV testing between 2023 and 2024. Of the 892 patients who completed questionnaires regarding their HPV history, a significant disparity was observed between those with and without prior HPV testing. 671 patients reported no prior HPV test positive, while 221 reported a history of positive result. Among those with a prior positive HPV result, approximately 49.8% tested positive again, indicating persistent HPV infection. Conversely, 50.2% cleared the virus, although the origin of prior positive results from external laboratories introduces a degree of uncertainty (Table 5). Also in patient with prior history mentioned, the 41-50 age group exhibited the highest HPV clearance rate (Table 4). A limitation of this analysis is the lack of information regarding the timing of initial infection and previous positive test results, precluding a comprehensive assessment of long- term clearance rates. Table 4. Association between age-group and HPV test outcome with prior history Furthermore, the study investigated the association between clinical symptoms and HPV test results in 695 patients. Participants were questioned about genital symptoms, including pain, bleeding, abnormal discharge, itching and burning, and the presence of lesions. Intriguingly, a significant proportion 517 (74.4%) of patients reported no symptoms and were referred for routine screening (Table 5). Of the HPV- positive individuals, 69.4% (163) were asymptomatic, highlighting the importance of screening programs. Conversely, 23.0% (106) of HPV-negative individuals reported at least one clinical symptom, suggesting the possibility of alternative etiologies for their discomfort. Table 5. Patient history of HPV infection, clinical sign and virus clearance condition Total Condition Negative Positive P-Value OR LR HR History 892 Yes 221 (24.8%) 111 (50.2%) 110 (49.8%) <0.001 2.54 58 (26.2%) 80 (36.2%) No 671 (75.2%) 483 (72.0%) 188 (28.0%) 76 (11.3%) 161 (24.0%) Clinical Sign 695 Yes 178 (25.6%) 106 (59.6%) 72 (40.4%) 0.03 1.47 42 (23.6%) 50 (28.1%) No 517 (74.4%) 354 (68.5%) 163 (31.5%) 58 (11.2%) 144 (27.9%) Pain 43 (6.1%) 32 (74.4%) 11 (25.6%) 4 (9.3%) 8 (18.3%) Bleeding 26 (3.7%) 17 (65.4%) 9 (34.6%) 4 (15.3%) 7 (26.9%) Abnormal Discharge 45 (6.5%) 31 (68.9%) 14 (31.1%) 6 (13.3%) 13 (28.8%) Itching and Burning 58 (8.4%) 37 (63.8%) 21 (36.2%) 11 (18.9%) 19 (32.7%) Lesion or Wart 69 (9.9%) 26 (37.7%) 43 (62.3%) 31 (44.9%) 25 (36.2%) Check Up (No Sign) 517 (74.4%) 354 (68.5%) 163 (31.5%) 58 (11.2%) 144 (27.8%) Variability in HPV Detection Rates: Methodological Considerations and Marital Status Association This study analyzed HPV detection rates across several diagnostic methods and explored the relationship between marital status and test results. As detailed in the methods section and corresponding tables 1, the protocols, genotype targets, and lower limits of detection varied across the diagnostic methods employed. This heterogeneity complicates direct comparisons of overall HPV prevalence, but offers valuable insights into the performance and limitations of each assay. Specifically, four diagnostic methods were compared: INNO-LIPA, HybriSpot, COBAS X480, and Sansure HPV G26 Diagnostic Kit. These methods yielded positive detection rates of 52.5%, 61.5%, 17.2%, and 52.1%, respectively (Figure 4a and 4b). HybriSpot demonstrated the highest positive detection rate in this comparison. The COBAS X480 exhibited a substantially lower percentage compared to the other methods, likely due to its focus on detecting only 14 high-risk HPV genotypes and its comparatively higher limit of detection. These observed differences in positivity rates may stem from variations in assay sensitivity, the range of HPV genotypes targeted, and potential differences in the underlying patient populations tested. Further analysis examined the association between marital status and HPV test results within the 2023- 2024. Of the 899 patients who provided marital status information (86% female, 14% male), 72.5% declared their marital status, with 27.5% of those identifying as single (Table 2). A statistically significant association was found between marital status and test results (χ² (1) = 81.28, p < .001). Among those who declared their marital status, positive HPV rates were 56.3% and 24.5% in single and married subjects, respectively. However, single individuals had 3.96 times higher odds of testing positive compared to married individuals (95% CI [2.91, 5.39]), and the relative risk of a positive result was 2.29 times higher for singles (Table 2). Finally, the study examined the overall HR HPV infection rate from 2011 to 2024 (Figure5). The infection rate exhibited variability throughout this period. However, drawing definitive conclusions about trends in overall prevalence is challenging due to the evolving testing protocols and varying sensitivity of the diagnostic methods employed over the years. Discussion Cervical cancer remains a significant global health concern, necessitating comprehensive strategies for prevention and control (27). As highlighted by the WHO's call to action in 2018, early screening of HPV, timely treatment, and expanded vaccination coverage are crucial for improving outcomes (28). Determining the type-specific HPV prevalence is essential for formulating effective prevention strategies for cervical cancer (29). This study offers a valuable examination of HPV genotype distribution from 2011 to 2024 about 6418 individuals in Tehran, using a precise molecular method. Our data indicates a prevalence of HPV approximately 42% within a referred population at a Saeed pathobiology and molecular lab, Tehran. Prior research, such as a 2024 study by Hojjati et al., reported a 23% overall HPV prevalence among Iranian women, with rates varying widely from 2.2% to 97% across different regions (30). Similarly, other studies in Tehran have reported HPV infection rates of 53% and 49.5%. (17, 31). These Iranian findings are generally consistent with prevalence rates observed in other populations. For example, a study of American women aged 18–59 reported a 39.9% prevalence of any HPV type (32). These Iranian findings are broadly compatible with prevalence rates observed in international populations, where variations are attributed to lifestyle factors, sexual practices, financial limitations, awareness, and diagnostic sensitivities (33). This study of 6418 individuals over 13 years demonstrated age-related trends in HPV infection rates, with the highest prevalence in the 13-20 and 20-30 age groups. While some studies in Iran have reported peak prevalence in the 30-40 age group, our results align with other research indicating higher HPV prevalence among individuals under 30. (34, 35). The elevated infection rate in younger women is attributed to recent sexual activity and a less sensitized immune system, aligning with existing literature. The decreasing infection rates with age suggest viral clearance or potential reactivation during menopause, highlighting the importance of early HPV vaccination programs (36, 37). The study also revealed gender disparities, with women showing an overall HPV positivity rate of 40.8% and men exhibiting a significantly higher rate of 63.3%. The increasing prevalence in Iran, influenced by factors like limited sex education and vaccine access, underscores the urgent need for intervention. The cost of HPV vaccines, not covered by insurance, poses a barrier, necessitating effective national interventions and oversight to manage vaccine usage and curb rising infection rates. The analysis of HPV genotypes in this study reveals a complex infection landscape characterized by a notable prevalence of co-infection with both low-risk (LR) and high-risk (HR) genotypes. While HR genotypes were more common overall (29.2%) compared to LR genotypes (24.8%), a significant 27.6% of individuals exhibited co-infection, suggesting potential synergistic effects. Gender-specific analysis showed a higher proportion of HR genotypes in males (36.7%) than females (28.6%). Discrepancies observed when compared to other Iranian studies highlight the importance of considering regional and demographic factors in assessing HPV prevalence and associated risks (38, 39). This study investigated the distribution of human papillomavirus (HPV) genotypes in a population referred for HPV diagnosis, identifying 2718 infected cases and 34 distinct genotypes. The most frequent genotypes were 6, 16, 52, 31, 53, 66, 51, 11, 44, 54, 42, and 39. HPV-16 was the most prevalent high-risk (HR) genotype, while HPV-6 was the most common low-risk (LR) genotype. (31, 38). In this study found a lower prevalence of HPV-18 and a higher frequency of HPV-52, HPV-53, and HPV-31. These variations highlight the importance of investigating local epidemiological patterns for effective prevention and management of HPV-related cancers. Single infections were the most common in this study (22.8%), followed by double infections (10.3%). Variations in infection patterns may be influenced by factors such as gender, sexual behavior, and geographic location, warranting further investigation to inform targeted prevention strategies. Regional and demographic factors must be considered when assessing HPV prevalence and associated risks. Multiple HPV infections are more common in men, potentially linked to a higher number of sexual partners (40). This study, examining HPV history and clinical presentation in patients referred for HPV testing between 2023 and 2024, reveals important insights into HPV persistence and clearance. The finding that approximately 49.8% of patients with a prior positive HPV result tested positive again underscores the challenge of persistent HPV infection. Current understanding that a significant proportion of sexually active women will contract HPV, though many will clear the virus within weeks or months (41). Several factors were identified as strongly associated with HPV acquisition, including marital status, lifetime number of sex partners, history of STIs, and oral contraceptive use. Notably, having two or more lifetime sex partners and a history of STIs were the most significant determinants of high-risk HPV incidence (42). A greater number of lifetime partners was associated with reduced clearance rates for any HPV (43). These findings are contextualized by other studies. Allameh et al. (2022) reported an overall HPV clearance rate of 67%, with age, cervical histopathology, and parity as key risk factors for persistence (41). A limitation of this study is the absence of data on the timing of initial infection and prior positive results, preventing a complete assessment of long-term clearance rates. Further research is needed to fully understand the dynamics of HPV infection and clearance, and to develop targeted prevention and treatment strategies. The relationship between marital status and HPV infection rates presents a complex picture, warranting careful consideration of cultural and behavioral factors. While in our study revealed a significantly higher HPV prevalence among single individuals (56.3%) compared to their married counterparts (24.5%), another Iranian study reported similar rates in both groups (66.5% and 67%, respectively) (17). This discrepancy may reflect evolving sexual behaviors in Iran, where single individuals, including those who have experienced divorce, are increasingly engaging in multi-partner relationships. The absence of similar findings in older Iranian studies could be attributed to the social stigma surrounding such relationships, which likely discouraged the inclusion of marital status as a variable. Most HPV infections are asymptomatic and result in no clinical disease. Some HPV infections cause small genital warts that can appear on the vagina, penis or anus and rarely the throat. They may be painful, itchy or bleed or cause swollen glands (44). This is supported by a study of 695 patients, where a significant 74.4% of participants reported no symptoms, and 69.4% of HPV-positive individuals were asymptomatic, reinforcing the necessity of screening programs. Conversely, 23.0% of HPV-negative individuals reported symptoms, suggesting other possible causes for their conditions. These findings align with research by Mao et al., who found no association between HPV infection and symptoms like discharge, itching, or burning (45). The data emphasizes that symptomatic individuals represent a small fraction of the infected population, as HPV is the most common STI in women with up to 79% acquiring it during their lifetime, yet only about 1% presenting with genital warts. The convergence of these studies emphasizes the importance of HPV screening, given the high rate of asymptomatic infections, and highlights the complexity of diagnosing genital conditions due to the potential for alternative etiologies. Variations in HPV detection methods significantly impact reported prevalence rates (46). A study comparing INNO-LiPA, HybriSpot, COBAS 4800, and Real-time PCR revealed detection rates of 52.5%, 61.5%, 17.2%, and 52.1%, respectively. The low COBAS 4800 rate likely stems from its limited high-risk genotype coverage and higher detection threshold. This correlate with findings that hybridization techniques, like INNO-LiPA (detecting 35 genotypes), generally capture a broader range compared to PCR- based methods. While COBAS 4800 offers high specificity (47), HybriSpot's multiplex PCR and DNA Flow Technology enhance its detection capabilities. Further underscoring methodological effects, a comparison of LiPA-25 and Sansure-26 real-time PCR assays showed 91.3% and 89.7% agreement, respectively, across compatible genotypes in swab samples (26). This indicates a high degree of correlation between the two assays, but also reveals some discrepancies that could be due to differing primer design or amplification efficiencies. Finally, the Vitro HPV Screening test demonstrated comparable clinical sensitivity (100%) and specificity (approximately 87%) to the Cobas® HPV test in detecting CIN2+ lesions (48). These discrepancies underscore the critical role of assay sensitivity, target genotype range, and the specific patient population in interpreting HPV prevalence data and highlight the need for continuous comparative evaluation of HPV detection methodologies. Finally, the study examined the overall HR HPV infection rate from 2011 to 2024 (Figure5). The infection rate exhibited variability throughout this period. However, drawing definitive conclusions about trends in overall prevalence is challenging due to the evolving testing protocols and varying sensitivity of the diagnostic methods employed over the years. The increasing prevalence of HPV among sexually active Iranians, May irrespective of economic status, cultural habits, sampling periods, and lifestyles, marital status, or age, underscores the urgent need for intervention. This data can inform future research, influence public health policies, and contribute to the design of vaccines and national vaccination initiatives(49). The rising rates of genital tract HPV infection in Iran, potentially linked to a lack of sex education and limited vaccine access, mirror trends observed globally. These trends highlight the impact of early sexual activity, multiple partners, and inadequate preventive measures on HPV infection rates. This study, while providing valuable insights into HPV prevalence, is subject to several limitations. Notably, vaccination status for HPV was unavailable, a critical factor influencing test results. The study population, comprised of individuals seeking HPV testing at the laboratory, likely represents a higher-risk group with significant symptoms, thus limiting generalizability to the broader population. Furthermore, the absence of demographic data, such as occupation and number of sexual partners, restricts a more comprehensive analysis. The lack of cytology information for positive samples also prevents correlation between HPV genotypes and cytological findings. Potential errors in ThinPrep cytologic test results further contribute to the study's limitations. Finally, the assumption of comparable infection prevalence throughout the 2011-2024 period may not fully account for the evolving impact of HPV vaccination on non-vaccine- type prevalence. While these limitations exist, this study provides valuable insight into HPV genotype distribution within the target population, informing future policy decisions. Conclusion In conclusion, this study contributes valuable insights into HPV prevalence and genotype distribution in samples collected over a 14-year period in Tehran. The high prevalence of HPV infection, particularly with high-risk genotypes like HPV 16, 52, and 31, coupled with the highest prevalence observed in the 20–30 year age group and HPV-16 being common in younger ages, without clinical sign of infection, underscores the necessity for sustained vigilance and comprehensive cervical cancer prevention strategies. These strategies should encompass targeted education for younger populations, widespread vaccination programs, and consistent screening efforts. While the presented incidences are modeled estimates, the substantial burden of HPV highlights the importance of ongoing monitoring of HPV-associated diseases, including cancers, to inform and refine prevention measures. Future research should focus on genotype-specific risks and outcomes to enable more targeted interventions and ultimately safeguard women's cervical health. Declarations Ethics approval and consent to participate This study was conducted in a private diagnostic laboratory in Tehran, Iran, over a 14-year period. Written informed consent was obtained from all participants at the time of sample collection. The consent form included permission for the use of biological samples and associated clinical and demographic data (including age, sex, marital status, clinical symptoms, and prior infection history where available) for research purposes. All data were anonymized prior to analysis, and no personally identifiable information was included in the study. The study was conducted in accordance with national regulations governing the use of anonymized laboratory data. Consent for publication Not applicable. Availability of data and materials The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request. Due to the large volume of data collected over 14 years and the inclusion of clinical information, the datasets are not publicly available. All data have been fully anonymized to protect participant privacy. Competing interests The authors declare that they have no competing interests. Funding This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Authors' contributions N.H. and B.M. contributed equally to this work and are designated as co-first authors. N.H. contributed to manuscript writing, conducted molecular tests, and collected and analyzed data. B.M. participated in manuscript writing and data collection. F.E. performed molecular tests, collected, and organized the data. A.A.H. and Z.J. were involved in data collection. M.S.H. is the corresponding author, overseeing data analysis, reviewing results, and supervising manuscript writing. All authors read and approved the final manuscript Acknowledgment The authors would like to thank Dr. Saeed Mahdavi and Dr. Saeed Sabaghi, founders of Saeed Pathobiology and Genetics Laboratory, for their valuable support and collaboration in the execution of this study. References Wolf J, Kist LF, Pereira SB, Quessada MA, Petek H, Pille A, et al. Human papillomavirus infection: Epidemiology, biology, host interactions, cancer development, prevention, and therapeutics. Reviews in Medical Virology. 2024;34(3):e2537. Cubie HA. Diseases associated with human papillomavirus infection. Virology. 2013;445(1-2):21-34. Magalhães GM, Vieira ÉC, Garcia LC, De Carvalho-Leite MdLR, Guedes ACM, Araújo MG. Update on human papilloma virus-part I: epidemiology, pathogenesis, and clinical spectrum. Anais Brasileiros de Dermatologia. 2021;96(1):1-16. de Martel C, Georges D, Bray F, Ferlay J, Clifford GM. Global burden of cancer attributable to infections in 2018: a worldwide incidence analysis. The Lancet global health. 2020;8(2):e180-e90. Egawa N, Doorbar J. The low-risk papillomaviruses. Virus research. 2017;231:119-27. Muñoz N, Bosch FX, De Sanjosé S, Herrero R, Castellsagué X, Shah KV, et al. Epidemiologic classification of human papillomavirus types associated with cervical cancer. New England journal of medicine. 2003;348(6):518-27. Smith JS, Lindsay L, Hoots B, Keys J, Franceschi S, Winer R, et al. Human papillomavirus type distribution in invasive cervical cancer and high‐grade cervical lesions: a meta‐analysis update. International journal of cancer. 2007;121(3):621-32. Tripathi A, Sahu U. An overview of HPV: Causes, symptoms, and clinical manifestations. Immunopathology, Diagnosis and Treatment of HPV Induced Malignancies. 2022:1-19. Nalli G, Mastrotta P, Garcia MG, Tatti S, Verdú S. Detection of oral human papillomavirus (HPV) and its clinical importance. Journal of Dentistry. 2022;23(1):51. Xi LF, Schiffman M, Koutsky LA, Hughes JP, Hulbert A, Shen Z, et al. Variant‐specific persistence of infections with human papillomavirus Types 31, 33, 45, 56 and 58 and risk of cervical intraepithelial neoplasia. International journal of cancer. 2016;139(5):1098-105. McBride AA. Human papillomaviruses: diversity, infection and host interactions. Nature Reviews Microbiology. 2022;20(2):95-108. Mo Y, Ma J, Zhang H, Shen J, Chen J, Hong J, et al. Prophylactic and therapeutic HPV vaccines: current scenario and perspectives. Frontiers in cellular and infection microbiology. 2022;12:909223. Tobaiqy M, MacLure K. A systematic review of human papillomavirus vaccination challenges and strategies to enhance uptake. Vaccines. 2024;12(7):746. Lu M, Moritz S, Lorenzetti D, Sykes L, Straus S, Quan H. A systematic review of interventions to increase breast and cervical cancer screening uptake among Asian women. BMC public health. 2012;12(1):413. Brisson M, Kim JJ, Canfell K, Drolet M, Gingras G, Burger EA, et al. Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries. The Lancet. 2020;395(10224):575-90. Ginsburg O, Bray F, Coleman MP, Vanderpuye V, Eniu A, Kotha SR, et al. The global burden of women’s cancers: a grand challenge in global health. The Lancet. 2017;389(10071):847- 60. Rezaee Azhar I, Yaghoobi M, Mossalaeie MM, Kollaee Darabi A, Nejadeh AH, Jamshidi M, et al. Prevalence of human papilloma virus (HPV) genotypes between outpatients males and females referred to seven laboratories in Tehran, Iran. Infectious Agents and Cancer. 2022;17(1):7. Khodakarami N, Farzaneh F, Yavari P, Khayamzadeh M, Taheripanah R, Akbari ME. The new guideline for cervical cancer screening in low risk Iranian women. 2014. Coutlée F, Gravitt P, Kornegay J, Hankins C, Richardson H, Lapointe N, et al. Use of PGMY primers in L1 consensus PCR improves detection of human papillomavirus DNA in genital samples. Journal of clinical microbiology. 2002;40(3):902-7. Xu L, Padalko E, Oštrbenk A, Poljak M, Arbyn M. Clinical evaluation of INNO-LiPA HPV genotyping EXTRA II assay using the VALGENT framework. International journal of molecular sciences. 2018;19(9):2704. Dutra I, Foroni I, Couto A, Lima M, Bruges-Armas J. Molecular diagnosis of human papillomavirus. Human Papillomavirus and Related Diseases-From Bench to Bedside-Research aspects Rijeka: InTech. 2012:203-46. Van Eer K, Leussink S, Severs TT, van Marm-Wattimena N, Woestenberg PJ, Bogaards JA, et al. Evidence for missing positive results for human papilloma virus 45 (HPV-45) and HPV- with the SPF10-DEIA-LiPA25 (version 1) platform compared to type-specific real-time quantitative PCR assays and impact on vaccine effectiveness estimates. Journal of Clinical Microbiology. 2020;58(11):10.1128/jcm. 01626-20. Herraez-Hernandez E, Alvarez-Perez M, Navarro-Bustos G, Esquivias J, Alonso S, Aneiros-Fernandez J, et al. HPV Direct Flow CHIP: A new human papillomavirus genotyping method based on direct PCR from crude-cell extracts. Journal of virological methods. 2013;193(1):9-17. Herraez-Hernandez E, Preda O, Alonso S, Pardo RS, Olmo A. Detection and genotyping of human papillomavirus DNA in formalin-fixed paraffin-embedded specimens with the HPV Direct Flow CHIP System. The open virology journal. 2013;7:91. Rao A, Young S, Erlich H, Boyle S, Krevolin M, Sun R, et al. Development and characterization of the cobas human papillomavirus test. Journal of clinical microbiology. 2013;51(5):1478-84. Yin J, Cheng S, Liu D, Tian Y, Hu F, Zhang Z, et al. Head-to-head comparison of 7 high- sensitive human papillomavirus nucleic acid detection technologies with the SPF10 LiPA-25 system. Journal of the National Cancer Center. 2022;2(3):148-54. Okunade KS. Human papillomavirus and cervical cancer. Journal of Obstetrics and Gynaecology. 2020;40(5):602-8. Organization WH. Global strategy to accelerate the elimination of cervical cancer as a public health problem: World Health Organization; 2020. Demarco M, Hyun N, Carter-Pokras O, Raine-Bennett TR, Cheung L, Chen X, et al. A study of type-specific HPV natural history and implications for contemporary cervical cancer screening programs. EClinicalMedicine. 2020;22. Hojjati M, Reshadati M, Rashidi M, Moghadam AG, Salari N, Abdolmaleki A, et al. The prevalence of human papillomavirus in iranian women’s: a comprehensive systematic review and meta-analysis. Indian Journal of Gynecologic Oncology. 2024;22(1):8. Kesheh MM, Keyvani H. The prevalence of HPV genotypes in Iranian population: an update. Iranian journal of pathology. 2019;14(3):197. McQuillan GM, Kruszon-Moran D, Markowitz LE, Unger ER, Paulose-Ram R. Prevalence of HPV in adults aged 18-69: United States, 2011-2014. 2017. Pourmohsen M, Simbar M, Nahidi F, Fakor F, Majd HA. HPV Risk Factors and Prevention Behaviours: A Review. Journal of Clinical & Diagnostic Research. 2018;12(12). Ahmadi K, Armat R, Shahbazi B, Sasani E, Azad A, Gharibi Z, et al. Prevalence and genotype distribution of HPV infection among women in 2021–2023 in southern Iran: The rising trend of HPV infection among women. BMC women's health. 2025;25(1):126. Hamkar R, Shoja Z, Ghavami N, Heydari N, Farahmand M, Jalilvand S. Type-specific human papillomavirus prevalence in Iranian women with normal cervical cytology: the impact of current HPV vaccines. Intervirology. 2018;60(4):125-30. Ray J, Baidya J, Paul DP, Majumdar G, Debbarma S, Sarkar A, et al. Molecular epidemiology and genotype distribution of genital high-risk human papillomavirus among women in North–East India. Egyptian Journal of Medical Human Genetics. 2025;26(1):1-11. Li W, Meng Y, Wang Y, Cheng X, Wang C, Xiao S, et al. Association of age and viral factors with high-risk HPV persistence: a retrospective follow-up study. Gynecologic Oncology. 2019;154(2):345-53. Bitarafan F, Hekmat MR, Khodaeian M, Razmara E, Ashrafganjoei T, Gilani MM, et al. Prevalence and genotype distribution of human papillomavirus infection among 12 076 Iranian women. International Journal of Infectious Diseases. 2021;111:295-302. Letafati A, Farahani AV, Nasiri MMB, Pourmoein H, Ardekani OS, Ahoodashty H, et al. High prevalence of HPV-56 and HPV-39 in Sari, Iran: an analysis of genotype distribution. Virology Journal. 2024;21(1):227. Patra S, Shand H, Ghosal S, Ghorai S. HPV and male cancer: pathogenesis, prevention and impact. Journal of the Oman Medical Association. 2025;2(1):4. Behnamfar F, Ahmadi Solush F, Allameh T. Age and Cervical Histology, the Most Important Factors to Predict Human Papilloma Virus Clearance. Journal of Obstetrics, Gynecology and Cancer Research. 2022;8(1):11-6. El-Zein M, Ramanakumar AV, Naud P, Roteli-Martins CM, de Carvalho NS, de Borba PC, et al. Determinants of acquisition and clearance of human papillomavirus infection in previously unexposed young women. Sexually transmitted diseases. 2019;46(10):663-9. Lu B, Wu Y, Nielson CM, Flores R, Abrahamsen M, Papenfuss M, et al. Factors associated with acquisition and clearance of human papillomavirus infection in a cohort of US men: a prospective study. The Journal of infectious diseases. 2009;199(3):362-71. Douglas Jr J, Unger E. Genital human papillomavirus infections. Atlas of Sexually Transmitted Diseases and AIDS E-Book. 2010:186. Mao C, Hughes JP, Kiviat N, Kuypers J, Lee S-K, Adam DE, et al. Clinical findings among young women with genital human papillomavirus infection. American journal of obstetrics and gynecology. 2003;188(3):677-84. Cuschieri K, Kavanagh K, Sinka K, Robertson C, Cubie H, Moore C, et al. Effect of HPV assay choice on perceived prevalence in a population-based sample. Diagnostic Molecular Pathology. 2013;22(2):85-90. Mehta N, Keung MHT, Pineda E, Lynn E, Fetene D, Lee A, et al. Clinical validation of the Roche cobas HPV test on the Roche cobas 5800 system for the purpose of cervical screening. Microbiology Spectrum. 2024;12(10):e01493-24. Pesic A, Krings A, Hempel M, Preyer R, Chatzistamatiou K, Agorastos T, et al. CIN2+ detection of the HPV DNA Array genotyping assay in comparison with the Cobas 4800 HPV test and cytology. Virology Journal. 2019;16(1):92. Liang X, Carroll X, Zhang W, Zhang W, Liu G, Li S, et al. Socioeconomic and lifestyle factors associated with HPV infection in pregnant women: a matched case-control study in Beijing, China. Reproductive Health. 2018;15(1):200. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 23 Apr, 2026 Reviews received at journal 23 Apr, 2026 Reviews received at journal 18 Apr, 2026 Reviewers agreed at journal 15 Apr, 2026 Reviewers agreed at journal 14 Apr, 2026 Reviewers agreed at journal 13 Apr, 2026 Reviewers agreed at journal 13 Apr, 2026 Reviewers agreed at journal 31 Mar, 2026 Reviewers invited by journal 19 Feb, 2026 Editor assigned by journal 19 Feb, 2026 Submission checks completed at journal 19 Feb, 2026 First submitted to journal 17 Feb, 2026 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-8904178","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":594323780,"identity":"17d36fd2-b6ae-44bd-a610-ec07d39caa53","order_by":0,"name":"Nader Hashemi","email":"","orcid":"","institution":"Golestan University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Nader","middleName":"","lastName":"Hashemi","suffix":""},{"id":594323781,"identity":"fd4e00ff-6c68-4c99-afb2-b7be9899a81d","order_by":1,"name":"Behnam Mahdavi","email":"","orcid":"","institution":"Saeed Pathobiology and Genetic Laboratory","correspondingAuthor":false,"prefix":"","firstName":"Behnam","middleName":"","lastName":"Mahdavi","suffix":""},{"id":594323782,"identity":"45a0a503-ee34-48c3-9c54-97f4abd0475b","order_by":2,"name":"Fatemeh Eskandari","email":"","orcid":"","institution":"National Institute of Genetic Engineering and Biotechnology","correspondingAuthor":false,"prefix":"","firstName":"Fatemeh","middleName":"","lastName":"Eskandari","suffix":""},{"id":594323783,"identity":"5acc4dc4-243f-48c8-be21-dc49675f2901","order_by":3,"name":"Alaleh Alizadeh Halili","email":"","orcid":"","institution":"Islamic Azad University, Science and Research Branch (SRBIAU)","correspondingAuthor":false,"prefix":"","firstName":"Alaleh","middleName":"Alizadeh","lastName":"Halili","suffix":""},{"id":594323784,"identity":"df770703-620c-460f-b2c5-6ace604ab5b6","order_by":4,"name":"Zahra Jamshidi","email":"","orcid":"","institution":"Islamic Azad University, Science and Research Branch (SRBIAU)","correspondingAuthor":false,"prefix":"","firstName":"Zahra","middleName":"","lastName":"Jamshidi","suffix":""},{"id":594323785,"identity":"bb05ed4e-be7b-48a2-bdb2-793ac1979034","order_by":5,"name":"Maryam Sadat Hosseini","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEklEQVRIiWNgGAWjYPCCA1DSoEaOn4EHKshMnJZjxpINpGgBKUvccIAHj0Ig0G0/+0ziZ84dOfn+wwcPFxSwJW4+f/boZh4GO3kGdt4H2LSYnUk3k+zd9szY4EZawuEZBjLG227kpd3mYUg2bGBmN8Cq5UAamwTvtsOJGyR4DA7zGLDJbrvBYwbUwpzAwMyG1WFm55+xSf4Fapnff/4DUAsz4+b+MyAt9bi13EhjkwbZ0nAghwGkRXEDQw5Iy2E8Wp4xW8tuOwzyC8hhx4wlgH65OcfguGEbToelMd58u+0wKMQef+b5A4zK/rPHbrypqJbn5z+GVQsQsEhgEQSGFXY7wID5A265UTAKRsEoGAVAAACVal+M5C7TwwAAAABJRU5ErkJggg==","orcid":"","institution":"Shahid Beheshti University of Medical Science","correspondingAuthor":true,"prefix":"","firstName":"Maryam","middleName":"Sadat","lastName":"Hosseini","suffix":""}],"badges":[],"createdAt":"2026-02-17 20:38:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8904178/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8904178/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":103349603,"identity":"45fa82c5-4bab-41ea-ab00-148eb10ff363","added_by":"auto","created_at":"2026-02-24 16:45:29","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":125334,"visible":true,"origin":"","legend":"\u003cp\u003e(A) Distribution of participants across five age groups, demonstrating the largest proportion in the 31-40 age group. (B) Prevalence of positive and negative HPV test results, as well as Low-Risk (LR) and High-Risk (HR) HPV genotypes, across age categories. Highest overall HPV prevalence was observed in individuals under 30 years of age.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-8904178/v1/dbd95d7eb72353c57d4583ba.png"},{"id":103349604,"identity":"e9554223-73bd-4c80-9281-da7934d7e220","added_by":"auto","created_at":"2026-02-24 16:45:29","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":125904,"visible":true,"origin":"","legend":"\u003cp\u003eDistribution of human papillomavirus (HPV) genotypes in a population referred for HPV diagnosis. Analysis of all positive cases revealed 34 distinct HPV genotypes. The most frequently detected genotypes for HR was 16, 52 and 31 and for low risk was 6 and 11. The relative frequencies of these genotypes are visually represented.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-8904178/v1/1fe93496fc392f1a258bb2cd.png"},{"id":103506019,"identity":"007b5b22-a234-4b12-b356-a18990e6b344","added_by":"auto","created_at":"2026-02-26 13:33:50","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":77814,"visible":true,"origin":"","legend":"\u003cp\u003eThe prevalence of HPV infection patterns within our dataset. Single and double infections were the most common. Furthermore, the data indicates a higher incidence of multiple HPV infections in men compared to women.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-8904178/v1/eceb3d4d3f84cd6bde190505.png"},{"id":103349607,"identity":"039e5738-c3f0-4b40-9f8e-51a2670d7606","added_by":"auto","created_at":"2026-02-24 16:45:29","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":131080,"visible":true,"origin":"","legend":"\u003cp\u003eFigure show a comparative analysis of HPV detection rates using four diagnostic methods: INNO-LIPA, HybriSpot, COBAS X480, and Sansure G26. (4a) illustrates the number of tests conducted annually for each method. (4b) displays the total number of positive and negative results obtained by each method. The positive detection rates (Figure 4c) were 52.5%, 61.5%, 17.2%, and 52.1%, respectively, with HybriSpot exhibiting the highest rate. The lower rate of COBAS X480 is attributed to its focus on 14 high-risk genotypes and a higher limit of detection. Figure (4d) timeline the tests and positive percentage across years.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-8904178/v1/bdafee7d7bc43389cb98ef27.png"},{"id":103349606,"identity":"66dc6930-7021-405e-916e-6b311ff0e42b","added_by":"auto","created_at":"2026-02-24 16:45:29","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":62723,"visible":true,"origin":"","legend":"\u003cp\u003eThe overall HR HPV infection rate observed from 2011 to2024.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-8904178/v1/6a5d55568c44083e733a40ca.png"},{"id":103509604,"identity":"88f6eefe-b1bd-4ecd-97f7-46200f55e100","added_by":"auto","created_at":"2026-02-26 14:00:01","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1461050,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8904178/v1/bc638518-1653-42cd-968f-133446f34344.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Unveiling the Landscape of HPV Infection in Tehran: A 14-Year Prevalence and Genotype Study","fulltext":[{"header":"Introduction","content":"\u003cp\u003eHuman papillomavirus (HPV), a highly prevalent sexually transmitted infection caused by a double- stranded DNA virus, poses a significant global health challenge (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). HPV are ubiquitous pathogens capable of infecting cutaneous and mucosal epithelial tissues, leading to a spectrum of clinical manifestations ranging from benign skin warts to life-threatening malignancies (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). While commonly associated with genital infections, HPV can affect various anatomical sites, including the hands, feet, larynx, and, most critically, the genital region where persistent infection with high-risk (HR) genotypes can progress to intraepithelial neoplasia and invasive cancer (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe global burden of HPV-related cervical cancers, with approximately 690,000 new cases diagnosed annually in 2018, underscores the need for continued research and improved public health interventions\u003c/p\u003e \u003cp\u003e(\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). There are more than 200 HPV genotypes present, a subset of which are implicated in anogenital cancers\u003c/p\u003e \u003cp\u003e(\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). These are broadly categorized as high-risk (HR-HPV) probable high-risk types (HPV 26, 53, and 66) or low-risk (LR-HPV). Approximately 16 HR-HPV types, including 16, 18, 31, 33, 35, 39, 45, 51, 52, 56,\u003c/p\u003e \u003cp\u003e58, 59, 68, 73 and 82, are strongly associated with cervical cancer development (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). Notably, HPV types 16 and 18 account for approximately 70% of all cervical cancer cases globally, while other HR-HPV types contribute to the remaining cases (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). LR-HPV types, a group which includes but is not limited to HPV 6, 11, 40, 42, 43, 44, 55, 61, 70, 81, and 83, are strongly associated with benign conditions such as genital warts and are frequently detected in benign or mildly abnormal cervical tissue (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). While LR-HPV infections commonly result in warts, persistent HR-HPV infections are etiologically linked to several cancers, including cervical, anal, and oropharyngeal malignancies (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe etiological role of HPV in cervical cancer is further underscored by the near-universal detection of HPV DNA in cervical cancer specimens, contrasting sharply with its infrequent presence in healthy uterine tissue (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). Although many HPV infections are transient and asymptomatic, clearing spontaneously within two years, persistent infection with HR-HPV genotypes represents a significant oncogenic risk (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). Factors such as host age, immunity, environmental conditions, and viral characteristics influence the likelihood of disease progression. Individuals with compromised immune systems are particularly vulnerable (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). Fortunately, cervical cancer is largely preventable through primary prevention strategies, including HPV vaccination, and secondary prevention through screening programs. Clinical trials have demonstrated vaccination efficacy in preventing incident HPV infections and cervical intraepithelial neoplasia (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAlthough cervical cancer incidence is declining in regions with robust screening and vaccination programs, it remains a leading cause of cancer mortality among women worldwide (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). Understanding HPV epidemiology, including type-specific prevalence and incidence, is essential for developing and implementing effective prevention strategies, such as vaccination and screening programs, to reduce the substantial morbidity and mortality associated with this widespread infection. Given the diverse geographic distribution of HPV genotypes and variations in infection rates across different regions, understanding the local HPV epidemiology is crucial for optimizing vaccination strategies and tailoring cervical cancer prevention and treatment programs (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). The documented association between HPV infection and cervical cancer, especially in women of Asian descent, highlights the importance of ongoing surveillance and targeted interventions (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e). Furthermore, the disproportionate burden of cervical cancer in low- and middle- income countries underscores the urgent need for improved access to HPV vaccination and screening programs globally (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e). Statistical data underscores that cervical cancer ranks as the fourth most common cancer among women worldwide, with a particularly high incidence in low- and middle-income countries\u003c/p\u003e \u003cp\u003e(\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e). While several studies have investigated HPV prevalence in IRAN results have varied. In Iran, according to a 2018 report by the Institut Catal\u0026agrave; d\u0026rsquo;Oncologia and the International Agency for Research on Cancer (ICO/IARC), approximately 917 new cervical cancer cases are diagnosed annually (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e). Cervical cancer ranks as the 11th leading cause of cancer among Iranian women (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). Given the established link between HPV and cervical cancer, screening programs employing cytological examinations and HPV typing remain crucial.\u003c/p\u003e \u003cp\u003eThis study analyzed Human Papillomavirus (HPV) testing data from male and female clients at Saeed pathobiology and genetics lab in Tehran, Iran, from 2011 to 2024. Demographic data (age, gender, and marital status), clinical history (past positive results), test methods, and HPV genotype outcomes were examined. This research addresses the knowledge gap regarding HPV prevalence and genotypes in an Iranian population presenting for cancer screening. Specifically, it focuses on both men and women, addressing the paucity of data on HPV prevalence, particularly high-risk (HR) genotypes in Iranian men. Given the continuing public health significance of cervical cancer, this study aims to provide valuable insights into HPV DNA positivity, genotypic identification, associated demographic characteristics and clinical signs, and the distribution of high-risk and low-risk HPV genotypes across different age groups. This data will inform targeted HPV prevention and management strategies within Iran.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy design and clinical specimens\u003c/h2\u003e \u003cp\u003eThis retrospective cross-sectional study leveraged data and samples collected from patients visiting Saeed Pathology and Genetic Laboratory 2011 to 2024, to investigate HPV prevalence in the Tehran population. A total of 6,418 genital samples, representative of both female and male individuals in Tehran, were analyzed for the presence of HPV. The study population was carried out to aged 13 to 75 years, acknowledging the age-related changes in HPV prevalence. The study population comprised both male and female outpatients referred from various specialists (e.g., gynecologists, urologists, dermatologists) across Tehran province. All participants provided written informed consent prior to sample collection. Sampling methods differed based on sex and indication for testing. For women, cervical specimens were obtained through standard cytology (Thin Prep) as part of routine cervical cancer screening or through direct cervical or vaginal secretion collection by medical personnel when HPV testing was requested outside of routine screening protocols (e.g., in virgins). Men provided two samples: pooled swabs of the urethral meatus and penile/testicular/inguinal skin, and a first-morning urine specimen. All samples were stored at 4\u0026deg;C upon arrival at the laboratory.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eHPV DNA Genotyping\u003c/h3\u003e\n\u003cp\u003eHPV DNA genotyping was conducted at the Molecular Genetics Department of the Saeed laboratory, commencing with sample pre-amplification and DNA extraction. DNA extraction was performed using the High Pure PCR Template Preparation Kit (Roche Diagnostics, USA) according to the manufacturer's protocol. Polymerase Chain Reaction (PCR) analysis of the extracted DNA was carried out over a 14-year period, utilizing four distinct genotyping methods. These included the INNO-LiPA HPV Assay (Innogenetics, Gent, Belgium), the HPV Direct Flow Chip (HybriSpot, Spain), the Cobas X480 HPV test (Roche Molecular Diagnostics), and the Sansure HPV G26 Diagnostic Kit (Hunan, China). Key characteristics of each genotyping kit are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. In addition, from 2011 to 2019, qualitative PCR with PGMY primers was performed alongside HPV genotyping by hybridization methods for initial HPV screening (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eFor each assay, HPV DNA extraction, PCR amplification, hybridization, and result interpretation were performed strictly following the manufacturer's recommended procedures. Genotypes identified were subsequently categorized into high-risk (HR) and low-risk (LR) groups. HR genotypes included types 16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 56, 58, 59, 66, 68, 73, and 82, while LR genotypes comprised types\u003c/p\u003e \u003cp\u003e6, 11, 40, 42, 43, 44, 54, 55, 61, 62, 67, 69, 70, 71, 72, 81, 83, 84, 89.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHPV genotyping methods comparison: detection methods, genotype coverage, and limits of detection of methods\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003e Method\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eProtocol\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGenotypes Detection\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eLOD\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eRef\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eINNO- LiPA\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eReverse Hybridization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLR: 6, 11, 40, 42, 43, 44, 54, 61, 62, 67,\u003c/p\u003e \u003cp\u003e81, 83, 89\u003c/p\u003e \u003cp\u003eHR: 16, 18, 31, 33, 35, 39, 45, 51, 52, 56,\u003c/p\u003e \u003cp\u003e58, 59, 68\u003c/p\u003e \u003cp\u003epHR: 26, 53, 66, 70, 73, 82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGS:\u003c/p\u003e \u003cp\u003e\u0026lt;\u0026thinsp;50\u0026ndash;437\u003c/p\u003e \u003cp\u003ecopies/reaction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e(\u003cspan additionalcitationids=\"CR21\" citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eHybr\u003c/b\u003ei\u003cb\u003eSpot\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eReverse Hybridization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLR: 6, 11, 40, 43, 44, 54, 55, 61, 62, 67,\u003c/p\u003e \u003cp\u003e69, 70, 71,72, 81, 84\u003c/p\u003e \u003cp\u003eHR: 16, 18, 26, 31, 33, 35, 39, 45, 51, 52,\u003c/p\u003e \u003cp\u003e53, 56, 58, 59, 66, 68, 73, 82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGS:\u003c/p\u003e \u003cp\u003e50\u0026ndash;500 GE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e(\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCobas X480\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eReal-time\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHR: 16, 18, OH (31, 33, 35,39, 45, 51,\u003c/p\u003e \u003cp\u003e52,56,58,59,66,68)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGS: 150\u0026ndash;2400\u003c/p\u003e \u003cp\u003ecopies/ml\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e(\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSansure G26\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eReal-time\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLR: 6, 11, 40, 42, 43, 44, 54, 55, 57, 67\u003c/p\u003e \u003cp\u003eHR: 16, 18, 31, 33, 35, 39, 45, 51, 52, 53,\u003c/p\u003e \u003cp\u003e56, 58, 59, 66, 68, 73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5-500\u003c/p\u003e \u003cp\u003eCopies/reaction\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e(\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eLR: Low Risk, HR: High Risk, pHR: possibility High Risk, GS: genotype specific, GE: genome equivalent\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eStatistical Methods\u003c/h3\u003e\n\u003cp\u003eSpecimens were characterized based on reception date, age, gender, test result, positive history status, marital status (single/married), and presenting clinical signs. Data analysis was performed using IBM SPSS Statistics version 26. Descriptive statistics, including frequencies and percentages, were calculated to summarize the sample characteristics. Categorical variables were compared across subgroups using the Chi-square test. The independent samples t-test was employed to compare continuous variables between subgroups. Statistical significance was determined at a p-value of \u0026lt;\u0026thinsp;0.05 for all analyses.\u003c/p\u003e"},{"header":"Results","content":"\u003ch2\u003eDemographic\u0026nbsp;characteristics\u0026nbsp;and\u0026nbsp;HPV\u0026nbsp;prevalence\u003c/h2\u003e\n\u003cp\u003eThis study examined the demographic characteristics of 6418 individuals (5988 women and 430 men) tested for human papillomavirus (HPV). The age of participants ranged from 13 to 75 years, with a mean age of 35.6 years (Table 2).\u003c/p\u003e\n\u003cp\u003eTable 2. Demographical and virological characteristic of across all participants\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"659\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eHPV Positive\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eHPV Negative\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eP-value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eOR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eLR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e6418\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e2718 (42.3 % (\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e3700\u003cspan dir=\"RTL\"\u003e\u0026nbsp;\u003c/span\u003e(57.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e1593 (24.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e1871 (29.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eFemale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e5988 (93.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e2446 (40.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e3542 (59.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003eF/M\u003c/p\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003cp\u003e(95% CI: 0.33-0.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e1379 (23.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e1713 (28.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMale\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e430 (6.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e272 (63.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e158 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e214 (49.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e158 (36.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eMean-Age\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e35.65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e34.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e36.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e33.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e34.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eSD\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e8.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e8.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e8.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e8.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e8.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eMarital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e899\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e296 (32.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e603 (67.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e135 (15.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e241 (26.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eMarried\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e652 (72.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e160 (24.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e492 (75.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\"\u003e\n \u003cp\u003eS/M\u003c/p\u003e\n \u003cp\u003e3.958\u003c/p\u003e\n \u003cp\u003e(CI: 2.908-5.387)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e62 (9.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e132 (20.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 111px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSingle\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e247 (27.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e139 (56.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 86px;\"\u003e\n \u003cp\u003e108 (43.7%)\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 76px;\"\u003e\n \u003cp\u003e73 (29.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85px;\"\u003e\n \u003cp\u003e109 (44.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eRegarding\u0026nbsp;gender\u0026nbsp;distribution,\u0026nbsp;women\u0026nbsp;constituted\u0026nbsp;the\u0026nbsp;vast\u0026nbsp;majority\u0026nbsp;of\u0026nbsp;the\u0026nbsp;study\u0026nbsp;population\u0026nbsp;(93.3%),\u0026nbsp;while men comprised 6.7%. Overall, 42.3% of cases (2718/6418) were HPV-positive, and 57.7% (3700/6418) were HPV-negative. Stratifying by gender revealed that 40.8% of women tested positive for HPV, compared to\u0026nbsp;63.3% of\u0026nbsp;men. A\u0026nbsp;Chi-square test indicated a significant difference\u0026nbsp;in\u0026nbsp;the proportion of HPV- positive\u0026nbsp;cases\u0026nbsp;between\u0026nbsp;women\u0026nbsp;and\u0026nbsp;men.\u0026nbsp;While\u0026nbsp;the\u0026nbsp;difference\u0026nbsp;between\u0026nbsp;the\u0026nbsp;groups\u0026apos;\u0026nbsp;percentages\u0026nbsp;was\u0026nbsp;22.5%, the\u0026nbsp;test\u0026nbsp;of\u0026nbsp;equality\u0026nbsp;yielded\u0026nbsp;a\u0026nbsp;p-value\u0026nbsp;of\u0026nbsp;0.05,\u0026nbsp;confirming\u0026nbsp;the\u0026nbsp;assumption\u0026nbsp;that\u0026nbsp;men\u0026nbsp;referred\u0026nbsp;for\u0026nbsp;HPV\u0026nbsp;testing are more likely to be infected than women (Table 2).\u003c/p\u003e\n\u003cp\u003eFor subsequent analyses, participants were categorized into five age groups. The distribution of cases across these age groups revealed that the 31-40 age comprised the largest proportion (2945/6418), followed by the 21-30 age group (1774/6418) (figure 1a). The proportion of positive HPV test results varied across age groups, with the highest prevalence observed in individuals under 30 years of age (Figure 1b). Furthermore, the distribution of both Low-Risk (LR) and High-Risk (HR) HPV genotypes across different age categories, stratified by gender, indicated the highest prevalence in the 13-20, 21-30 and 31-40 age groups, respectively (Figure 1b). Analysis using the Mann-Whitney U test demonstrated a significant difference in age between HPV-positive and HPV-negative individuals (U = 4,094,544.5, Z = -12.74, p \u0026lt; .001). The mean rank age was significantly higher in HPV-negative subjects compared to HPV-positive subjects (Mean Rank 3,461.87 vs. 2,865.95, respectively). This finding suggests an inverse relationship between age and HPV positivity, indicating that older individuals were more likely to test negative for HPV (Table 3).\u003c/p\u003e\n\u003cp\u003eTable\u0026nbsp;3.\u0026nbsp;Comparison\u0026nbsp;of\u0026nbsp;age\u0026nbsp;distributions\u0026nbsp;between\u0026nbsp;HPV-positive\u0026nbsp;and\u0026nbsp;HPV-negative\u0026nbsp;groups\u0026nbsp;using\u0026nbsp;Mann-Whitney\u0026nbsp;U test\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"695\" height=\"445\"\u003e\u003c/p\u003e\n\u003ch2\u003eDistribution of HPV genotypes in a referred population\u003c/h2\u003e\n\u003cp\u003edistribution of human papillomavirus (HPV) genotypes in a population referred for HPV diagnosis indicate a total of 2718 infected cases were identified, with 34 distinct HPV genotypes detected. Figure 2 provides a visual representation of the prevalence the top 18 frequently genotypes each identified. The most frequently detected genotypes overall were, in descending order: 6, 16, 52, 31, 53, 66, 51, 11, 44, 54, 42, and 39. Within the HR group, HPV type 16 exhibited the highest occurrence, accounting for 453 cases (7.1%), followed by type 52 with 228 cases (3.6%). Among the LR genotypes, HPV type 6 was the most prevalent, observed in 789 cases (12.3%), with type 11 following at 44 cases (2.6%). Figure 2 illustrates the relative frequencies of these genotypes.\u003c/p\u003e\n\u003cp\u003eAnalysis of the totally detected genotypes revealed that 1592 (24.8%) were low-risk (LR) genotypes, while 1871 (29.2%) were high-risk (HR) genotypes. Notably, 751 (27.6%) individuals exhibited co-infection with both LR and HR genotypes. Further analysis examined the prevalence of HR and LR genotypes within gender subgroups. In females, 1713 (28.60%) HR genotypes and 1379 (23.0%) LR genotypes were detected. Males exhibited a higher proportion of HR genotypes, with 158 cases (36.7%), compared to LR genotypes, at 214 cases (49.8%) (Table 2). Across both genders, HPV-6 emerged as the most prevalent individual genotype, occurring in 11.3% of females and 25.6% of males.\u003c/p\u003e\n\u003cp\u003eSingle infections represented the predominant infection pattern, observed in 1463 cases (22.8%). In cases of multiple infections, double infections were the most frequent manifestation, present in 664 cases (10.3%). The most complex infection observed involved the detection of 10 different HPV types in two individual cases, identified using a comprehensive diagnostic protocol (Figure 3).\u003c/p\u003e\n\u003ch2\u003eAnalysis of HPV history and symptomatic presentation in patients referred for HPV testing\u003c/h2\u003e\n\u003cp\u003eThis study examines the HPV history and clinical presentation of patients referred for HPV testing between 2023 and 2024. Of the 892 patients who completed questionnaires regarding their HPV history, a significant disparity was observed between those with and without prior HPV testing. 671 patients reported no prior HPV test positive, while 221 reported a history of positive result. Among those with a prior positive HPV result, approximately 49.8% tested positive again, indicating persistent HPV infection. Conversely, 50.2% cleared the virus, although the origin of prior positive results from external laboratories introduces a degree of uncertainty (Table 5). Also in patient with prior history mentioned, the 41-50 age group exhibited the highest HPV clearance rate (Table 4). A limitation of this analysis is the lack of information regarding the timing of initial infection and previous positive test results, precluding a comprehensive assessment of long- term clearance rates.\u003c/p\u003e\n\u003cp\u003eTable 4. Association between age-group and HPV test outcome with prior history\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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5bwXhisxbAT0ljiQGfPrgDOryVg5SBBqnvkg0NzA2cZUg/Fr5ZNPPkFiRs64lD179ki7Z9WqVUGTByd08auILyQOFIyj5N0RINZUfxJ7Dgx8ybCv6M8XPf0pNCvxBc++49JI+vHLn19FnOXOeQhMx68p2kCpHWIY7bWMyxciV8PwBU9VLCdechCnLZ1fX+xv1pppmB/TcBkb86T/68IBhPbi1/0Tu5kXX9Cct8GvVn6tcuDjbpm6eCQ5LItzKNg+nX96OPPZo8aG7aew/cnhzcGb5Jz3CXHkjH0u4yNGHGTYDzQzcRDkklbeA7TJE3vmy74lieScFeLPiYEc3DhfiQMS7fmMx3uOeVJoiuA9QgJBt054H7EM3qv8uma5JKfsa10cfTlrNBq5MyM1KInbpqsfP5JohtC5uY8I20x/9g3fl3yncVdTvu908XRnEjOuYOKEUuJH8yznjlGjSzefEeZDgs18f/zxR1kfutnXjEOSwnJ0eZJgML1utZHOX6PRgP3GNFwKy/uEJIMaPV0cfT/zQ4T3LYnww0gB0AAAEABJREFUvwm1OindFt3Hka5ckriULuND8tNb4sAJbZwIyQk83M6YLxw2lIM+/RILX2ZUf3KnNX4BJRbesDpVG186unQcDPTx5cE26qtoNBq5Y6IOQ92ZuHKQ0Ll1Zw74JGiJ3SR9fDFyghb9+RVKtauuzSQG9KfwJa/zJ9GgH4UaBKqfNRoN+OKin05oE9aloemKAwk1Hpy8xT7Xhb3tzBcb4zE/1p9l6eLyxUd/nZDY6MLSw1nXbt2Z+NDkkFzbOXjp4nGg4uRFxiORINkkiWQ4zRfUHnJwolsnvEfYx+xP+tE2zngkGXRTeM08dULCQYKhc+vOHOhILpmG+ehU8bpwfTlzHwrWkcJ2v14vmuf4fOj8iSkJAuNTaB5gGLVClMTvQV7zfqXGgISNfcc0JHkkUrymZkb3nuV9Tz9iyrkpzZo1A90UxmM5FBJ7xkkOU/a1Lh3LS/ycM62+C7Wh1HKxX6jtoUaL5m0KSReFRItasHdtCzWzfBf9V3ziSjJMDRTLe5uZ7r/y+Vjheksc/p8GsyNozqDKnGRAJ1x+xIGKTPr/yU/FNQ4E+NDzhUm1LVWkvC+Mo2WqFQqBtyNA8wM1FjTx8J7XCVdgUEtBLeDbU6sQHQIkrjRTkpCR9FDjqQvjnA0KNS0kvTr/t51JMPhTCdSW0RT7tng6f2rgWB41bzo/fTobBXGgbY2qSKo2aYrQCdcV0zbHDtAn0NNvXVK35Z07d5YbUGk0GtDskLqlq9IUAmmDADff4goK7lehexfyzD1OatSokTaVMsBSSQi4YocE4m3Vp6mHGheGc8I359vp5m8l1kRwtQ9Nspznwbk9nMfCNNSGc4xiGgo/fkn6GKbPYhTEgQBTncaJlLp15TzTtsowJekTAT7UvA+4gx3VjOkTBdXq9IgATXS89xMLzT/pEYvUaDNXrHBTM84L4QcrNZ3cUZMTVrk6jPMlOOGfdeF8EQpNIfzgpfmCy2s5fjENNUaMp89iNMRBn0HW17qpeikEFAIKAYXAhyPAlV3U6nCCOOfmUevDza44IZ+rWDjHhqVwXgonuHJOGHfw5Oo+rtBiGprVSS5oYmVcfRZFHPS5d1TdFAIKAYWAQkDvEeCOpNQa0GxOckDh/ARuREh/zjN5vRGMS60oJ7xyvwuaLRiHE1h51mdRxEFvekdVRCGgEFAIKAQMEQH+/k5y9ea8h7fNWeCqCe7Fwd2NueySG6Ill4c++inioI+9ouqkEFAIKAQUAgaDAJe0JldZahO4jJirJDgPL3EcrnrhnibcmIz7nlD7kDhcn68VcXhL7yhvhYBCQCGgEFAIvAsC3JeG+5VQa0DtAydHcosA7lPDvYc0Gg24DJYTJTmRkhMhOZ+BP/5Ff8bhrp3vUpY+xFHEQR96QdVBIaAQUAgoBPQSAW5XTo3CnDlzwA2yKNygkDtm6irMTbW4oy0nOHIJJ1dHcFUfN47iXAeGM36mTJnkJnrc1JB5MC7z4GRJ/pgZl4Byt1T+CNy8efMYJMvkKhkSEemhBwcDIQ56gJSqgkJAIaAQUAikOwS40ym1A4mF+zFwa/rEYJAUcPkr4zGcv3ujC6epgisrGEahhoFzHPibLXRT88CNpvhbInRz3sPs2bPBawpXWnDFhi6/tD4r4pDWPaDKVwgoBBQCCgGFgAEh8F7E4WO1j0tSSpQogRKJZN26dXjw4AG2b98OQ1im8rGwSal8qQ5LjG/i63Hjxn1wMVxSxB8gY77/lRnj8MeigoOD/yvqO4Xz/uAWsMw3OeG206tWrXqnvD4kEpdm8fdTWAf+8Ba3RP+Q/FRahYBCQCGgTwjoBXHgkpWvv/4atA/xh1Fo3+GPtFC4gQZ/cIVbeXK/b30CzxDrwl8K/O2338BfX+NP3tK9bds2UB1Hf25J+/z58/duGvfD508CM2+SPV1G3J+d9j6dm78jwjicTMTNU3T+H3LmD8NwJzbaFmkPJBHlr/zxPvrhhx/kTzfzp4a5Xzx//OxDyvq3tPyBItou2T7WQbcci/cvf5KYe9b/W3oVphBQCCgEPjICH5R9mhMHDmAkB/whIv6K3dq1a5E9e/aERm3atAmdOnVCchtoJERSFx+EAH9RkJN1mAm3Rj1x4gQv30v4K3n85UPm16BBA5mHl5cXevfujUePHkk3D/ylScbhL/ZxQhD9PqY0a9YM1AKwDA7eH0KOmMf7CO2Yui1p3ye9SqMQUAgoBPQBgTQnDtzXe+7cuaCKmz+9So1DYmDs7OzAnzXlRBL6cx9vaico/NEWDgDDhg0DvyypquYuXTNnzgTDKdwHnOko/JER+vG3C65fvw5+YSd28wuRbgpntlKtz+tffvkFhrRUhm1NKaFGghhQ7t69myRbDoLUIvALeu/eveAX9erVq0FtAndOY3zizBnG/HlY/ugL1yyTDHJ7Vsbh1/jZs2fBiUYsg0LsqaGYPn267EeSSt4f1BJQG8U4lCSVeQeHRqORsfi7FdROSIc43Lx5E2wnfwmPZQkv+UdSy3XWvL84s3r9+vXg/calVCx/0KBB4M5wvPd0brZZJn7twDb169cP/BGbBQsWyPa+FsWonNy3n5hQ+KM+3JufDeRSNV2/Mmz+/Pny2WcY8V62bJnsc5IsEjw+zwyj6HBnet4P9GN+fA8wr3379oGT0hKnYRxjFz5PvHeJAbcw5hbHbDOX/unuTYbpZukzjMJ7nu9Evvf4g1j0o/B50OVHbST9KNwimfnwB7SoWeS9T38lKYCAgWWR5sSB6135UiZuBQsW5OkNKVWqFPh1ypc9l8JwQw2+mPgLY7Rp37hxA3yZ8IGhSnrx4sXg8pbixYvLlxCJBDPt06cPmI4vJxIBEhWdmyplfnnnypVLxuHSGX4V85fPuMyG+epeVszLmITkTWf7J0HTfZmXLFkSfBlzNjDby3XKOiLGFxQxJ6mjSWLJkiXQaDTIkycPaKogruxXvsTZZyR1OXPmBPugcuXK4HarjMOXHskhsaebfcrZyfRr0qQJSBZoquIv1HE5FGcqcxkTtReVKlVitd5JWA7JDe8xEhknJyeZji9JEgC+FLt16wbmT3LCwPHjx4NmDrabYdxTnsTW09MTW7duBWdE857jDGkOjryvSCyYNrHwBc75Fdzwhfcw7ymaTBLHMaZrPi8clIoWLQrOJueueCSNHORHjx4N3hd8bmmmIjHbs2ePbD5J1YwZM0Azz/79+yWZ0z1zHTt2BD8wSpcuDd6DJPVMRNx573IuCe9V3pO6NAw3dmHbef/my5cP/BErEvNdu3aBJJ73Od9rNN3x+fz111/B54CYcB7SgQMHwNn7JMYk+/Tn/c50fC7q1q0LEgve9wxjPBsbG3DPgpo1a4KEg/5K0h8CaU4c+EMgOtg5YOiuOWGOgzuFk8v40uFL2draGnx5Mx5V6jRzdO7cWaqhOWDNmjVLDkokDXw58yVFNs0HgS98ptMJBzTdNc/ciIMDGq85KHGAYz58WfFLlASFYcYkfOnwJUBzwsCBA8GBmy8Hft3x69nV1RXEguYHmjGopfHz8wO/CEkGqFHgwMCBkbg4OjqCmgReazQaOW9Ft2Ma882RIwf4xa/rQ8Zjn5JQNGrUCCQxXJLEvDng0o+Eg0SBdWVetWrVQvXq1cE+pYaDeSQnHED44zGcv9GhQwd8++23st7sTw5o/AqmFoEvUP7wDEkP45I48Jfr+LXF+oSGhoIDGssmgWHduTabZdKERhLCM93JCcP5smWYRqMBzTmJzXH0Nxa5ePEiaG6kxqhnz54gSeI9xIGMfiRcJHDEgLvqkVhysGJ/k0jwmoMdv3hJStlP7A+SC5JJPutclsbnnvceNZD8+GA/8XmneYxpjAXPf2sH3438SGLbiTWJNu8rYs3nhYSe/cF7ls8QcaWbeZJAcB4Qn2VqEHhPkwSTDPM92qtXL/ns8lnVaSpI5vhOYN9RU8TnmXkZoagm/QcCaU4c+FLV1TExiaCakupsvuT5lcgXOye16eLyXL58eZBskDXzRaJ7KHhDW1lZMYoU5kvSIR3/54EPHQdDJuPqDp6NSfjS4MuXQnOBrm18efCaLwmedUICx5cSiQQHWZINfolUrVpVF+W9zyQgTMxVCSR8fCmSvNGPX6w8c6DhwMO+ppmDAw39kxMSGKpqSR7Yj7x/SAZ0cZme7aab+a9ZswYkK5ysyXI4L4MqWe7+RuLIfBhXydsR4GDGgUwXgwM5v1hLlCgBPuvUDJAMUmvw+vNEglqgQAGQIBJ7puGARvMDiQXzZD/o0pE48r6jtop9RC0H50kxDeMau5CIUYulaye3LKbmgO9K4kAiRa0p/fghpovHMzU+JAok1NTkkJDx2ea7kuF8HkjySKB1JgnONSN5IBlkubpnk/GVpC8E0pw40AzBwZ+wJx4EaGqgXZiMl2FUn9N8wOu3CZl2cmFv808u7r/5pVQ+/1aGvoT9V1upxuQKBqqVN2zYIE0Q/IL5kPpTa8GVNXxpcWAhadSRNr4kmTcHEL7gatSogSlTpoCDEP3fJhysqHrli5RpWWed5ohtZF5Myxckz4MHDwZVu0z3xRdfgEtU+ULmvccB7fUXMNMoSYoAcaWPDlNeU7h7HskBv1pJBkjc6K8TfiCQ6LFvSfDYDxy02Pc0WfHrmFokDmCc18D4jEvzBN8jvA9JYjmo6fI05jNxprCNyT171EDwWbp//740XTCeTkiCabqgOZKmJT4jzINkgnGo5eWzxw8D3vf0I7bsE2rbSAD5/NH/o4sqQO8QSHPiQNsc1dREhsyX5/cVaiCSS8tBQ2eCSC783/y4rzhfXIzDZXY8pwfhIJ5cO6mup4mHcxxIHvjyaNOmDagu5oDwehpqfpjmdf/k3NQK8MuHgwPnpfDLSRcvb9688pIvLfYzB3XOvdB9IcnAtxyYli9HvmT59cu8SRiYF80TTEZ1OvOkUGPFJcIcnNg2qmqp6qV5hpoQxn8f4VyI90lnSGn49a/7EKDZK3HdqY3QTRDlQEWcE4dzjgPvF74HSA6oueDEWb4jeG9Qg0SzGvuIAx5NZyQWNHlQE8GvZ5ovaHZLnK+xXnNgZ9vZPpImnnVCbPgsEUOafHi/68J45hyHzz77DNydkNspU8PLOLq+4zwy4kzhpFWmoemDk6GZhm5dGl4rSV8IpDlxoG2Ytmeq1fgi4YQqsmS+ZCjsDqrE+ZBoNBo5A5s3OP05wJAl85pSpUoVdOnSBXxx8CXE2ev8cuQDolvyR80FBxCm49cN09HNryOe6abwoaCtnWprCvN41wGQ6fVVqIpn23Vfe/yKo/CLLnGd+YLgQMftTjnYciMuan/4BUIbMycT8sVEzKgaZhjJBlX8JFvMi2p+ziOgbZovfqYhppzEpvtyZ1xes3yNRgOSMw7m1DhxEGE+FGof2Ae8JzjRi3lxe1fOd2A4hXVh29hG5kc360DiV7NmTVA9Sz+++GjjJTlo1qyZ3Auepo+PHPQAABAASURBVC6aZ0gOeB/ynqPJhISD/c5JjRwUWTe+rEk0mBfzpw2eX2gsk/cm50RQWCfeo8SEcWn2oT/JDueQMNzYhHOC+BwSrx9++EGucqA9nHNJ+Fzy61ej0cj5Kbwv2H72P3GiCYJfwTQrkpwSY2p72Eeenp5yZRO1C7wHNm/eDKrKqYbn/BP2Je9X9g/7ifkauxAjTtzl/cpJjNTYkkDw+SCR5zuN8z105gXiocOacalFY1rOMeL9zmePGjzmS5z5nHKiJbWATEvT4bZt2+QcJbpJ3vhs8FpJ+kIgzYmDDm6+oPkSoE2OX7F86VA4f4H7dFNNxpcRXzx8SXOVBV8mfEh0efDMeRH8SuQXCNNxZjy/bhhG+fHHH+WKCz4Q1EQwHw5SR48elaSEcSi0nZJhM3+ybj5k/OJhmCELX7h8IXAgZdtJCjh5lAPa6+0iaaBqmV/ofDEzHrFiPOIzfPhwsI9IPDi7m4MjVdBc9cC8WRYHgc6dO8tBm8SCOFMDwEGEcWjHJslj/syXkye5myQJIN2JhfUgyWQ5EyZMAMkgBxddHJIh9heJJ1+AHHBYB9pqaabgHA7mzXI5IZLmEN5vnOdB1S0n1tKfgw/zJFEhkWUbWU/eD/TnfcPVAFQFkzSQSHDVBd38AiYBIZ4sh5oKfjWTIHHVCP1oKqGJh3kZo3ACLdXbvEdIyPjc8r4hllwKzQGH2PM5Jx4kezQvcIDiXAVqHEgMaSYiOSBRZR/yy5n3GvuD2iYOisSRpJL3A7+uOc+BZMMYcU2uTZwUyXccceSHEDUNvA+JNz/G+DzR/MD7lXGIH1dDUJtXo0YNEEu+R0mYIf4xLd+hjMtVQnyemYcIAsuixo3lMJz9TH8l6Q8BvSEOhJ4vCA4OiYUqtcRmBr5cEodz9jXT6oR2VE6y08XhkktdGM98eenC+JDorjl4JP7CZVwONAznmUud6GfoQnUu25RYOBGNuL3eNo1GA76QdXE58Ovi0ExBFbIujKsGNBoNSLJ0fvwS5NcL+5UvKPpz4CeWXE5HN4X2Ut3XJzVL7D8ui9WVpTtTO8WBgWkorIMujGeG835gWGLhIEPSR2E/68K4+RTT8SXLlyH9+YLl1xf9+XJkGP0pbAf9KSQm9KOwvrp8SXD5Qta5Gc5yOHjyBUw3xdgHN34Bs50UkjK2n/cYCQX9+FwTZ15TSMxIBPlM6u45XhNrCrFnPJ1wsKOpiTiSbPALmaYlEmLGTzciGkqSrcOFH0k6LQAHdvpT00ayzmsKJ6CyT4gV3RRqw0RW8o+EmX4UzmmgNpEBJG58V9CfQj8l6RMBvSIO6bMLVKsVAgoBhYBCQCFgOAgo4pCor2j345cwbaRUd/MrKFGwulQIKAQUAv+GgApTCKQLBBRxSNTNJAqclZ1YEgWrS4WAQkAhoBBQCKR7BJIlDs8ConH4SrAShYG6B9Q9YLj3gOo71XfqHvjgeyAiOu4NopQscXC2M0OxnDZK9ACDSjmfQ4nC4F3vgfJZfFHSIVhJGmPw5XNLdPa2UpJCGNx4FA4laYNBdEz8uxEHCzMNHGxMlegBBk42cVCiMHjXe8DROh6Olnop6apevhpTvFCSYhi8MXIpjzRFIFmNQ5rWSBWuEFAIKAQUAgoBhYDeIqCIg952jaqYQuAjIqCyVggoBBQC74mAIg7vCZxKphBQCCgEFAIKgfSIgCIO6bHXVZv1DQFVH4WAQkAhYDAIKOJgMF2lKqoQUAgoBBQCCoG0R0ARh7TvA1UDfUNA1UchoBBQCCgE3oqAIg5vhUYFKAQUAgoBhYBCQCHwOgKKOLyOiHLrGwKqPukEgUdPn6LTtwORvVxl9B05CmHhEemk5anczJho4NBqYEA1oE9JYEZ/IDwklSuRPoqLi4tFSKAvgvyfS4mMCDOKhiviYBTdqBqhEDBsBMLCw3HszDlMGDkce1cuxdHT5zB72XLDbpS+1v7GKcDKDhi/FRi2FHh8B5g1WF9ra9D1enzvKv74rjl+6FUZ47+pg7OHNyE+/s0tnA2tkYo4GFqPpXV9VfkKgY+AQFx8PGpWqoiMrhmQxzMHPDK5w9XZ+SOUpLJExmxA2QZa8pC9IFCpKXB4nQImhRGIiYnCzUvHUOWTjmjZcyxa9RqHgiWrQ6Mx/GHX8FuQwp2tslMIKARSHwE7Gxu4ujjDx88fv/8zG/WrV0PzT+pD/fsICLhlS5qppTVQrHpSP+X6YAR8nt7H9fMH8ezRbeTIUwylqjSBU4ZMH5yvPmSgiIM+9ML710GlVAgYDQKBQUEY9fsfmDxrDtbv2Il7Dx8aTdv0tiGc73DlKNBqiN5W0RArFi80aC+eesH3+UNcOrkLU0a2xMGt8xEXG2OIzXmjzoo4vAGJ8lAIKATSAgFHBwdMGTMa6+fOhEajwaCfxiM8Qk2Q/Gh9wUHsqiANRaoA+Up9tGLSY8YajQZFy9XFoN82ovOAqcJEUQNHdy2H183zRgGHIg4p2Y0qL4WAQuCDEDA3M0OZYkUxsGd3eD18BL+AwA/KTyX+FwS87wHP7gNlGohIGiHqL6URsLFzRL5ilfFZtx/gmikHnnEiakoXkgb5KeKQBqCrIhUCCoF/R8Da2go5PLLA3dX13yOq0PdDIFQQsvN7ISdJ2jkBj28BR9a9X14q1X8iYOvgjMKla8LM3Pw/4xpCBGMmDoaAv6qjQkAhIBBYtWUbStRviF0HD+PS9Rv4dfoM/DhwAMzMTEWo+ksxBLgU8O5FYFRTYPZ3QJf8QAsXoG85wNk4Ju6lGFYfmFFMdBR0cxqiIyNgYWEFD8/CH5irfiRXxEE/+kHVQiGQrhGoXLoUaleuhBWbNmPL7r3486fRKFeyeLrG5KM0PioCOL8H8MgLVP0sqeQp8VGKTI+ZxsbG4MKxrTi4dSEun9qNy6d3w8zcEu4euY0CjtQjDkYBl2qEQkAh8DEQyJLJHRNHjcTsCb/gu759kMfT82MUo/K0tBEahv7AgNlvioW1wieFEDAxMYF71jywsrEDd4vM4lkQxSt+AlMzsxQqIW2zUcQhbfFXpSsEFAIKAYWAkSGg0Zgga64iqFC7FUpXbYrM2fIZRQt1jVDEQYeEOisEFAIKAYWAQkAh8J8IKOLwnxCpCAoBw0EgJAq47W+iJI0xKBoXiZJKUgwDw3kCU7OmaVeWIg5ph70qORkEbt15gP7D/kDvb8ej76Bf8cT7hYx14tRl6Uf/dZv2ISYmFtyd7cjxCwn+DJs0fQnCwyNlmvR4iIsHomOVpDUGVvHxsIKSlMIgPT7L+txmRRz0uXfSYd2yZsmI2tXLYvvuY/hr9moM+2GaRKFggZz4qmcrcNJRlYolYGpqghlz1uDzL4bAwcEO/b9qj97dPseUv5ejU+/RCYRDJk5HBwdLoKBrnJI0xuCUqRWOmShJKQwM4RFOT3VUxCE99bYBtJUb/2TLmglftG0EaytLbN5+GPOWbIKtjRXy58mBwgVzw83VGRu2HsSXA39B3tzZ0f/LdsifNweKF8mLH4b1xJoNe/DXrNUG0FpVRYWAQkAhYHgIKOJgeH2WLmpco0pp/PHzANHWePw8cS4OHU26x/s/c1dL7UPxIvmQOZOriAdoNBrkypkVrhmc8Pec1QgNDYf6pxBQCKRHBFSbPyYCijh8THRV3h+EQPdOzdCvTzvcuvMQQ0ZNga9foMwvNCwcz1/4C6IAODvZSz/dwdLCHDY21vDzD8QLX3+ofwoBhYBCQCGQsggo4pCyeKrcUhABUxMTdO/0KRo3qIpTZ6+iQ4/vZe5WlpZyjoN0/MvBI3PGfwlVQQoBhUBqIaDKMS4EFHEwrv40utZkyeSGX378GkUL58HBo2dl+zgxsla1soiLi8eDR96IjYuT/jwEBoXIX1RkuLm5cezSxnYpUQgoBBQC+oKAIg760hOqHkkQiIiMSnAXLpAL477/Ena2Ngl+fbp9jiIFc+PoiYvgUk0GREVFY8HSzbCzscHArzvQS4lCQCHwBgLKQyHwYQgo4vBh+KnUKYwA5zP8MW0JuB/D37NfrYxo8kk1TJ0wJKG0HNkzY/7fP6BerQoYOGIS+vT/GV8O+AWXrtzG7Gnfo0bV0glx1YVCQCGgEFAIpBwCijikHJYqpxRAwCOLG0YO7ipJQpOG1ZLk2L5VA7Rr2SDBr1SJAtKMMe+v0ejXpy0GfdMRW9f8iU/qVoKNtVVCPHWR+gjsP3YcrXp/hY7f9Mfd+w9kBe4/foweg79DnTbtsX3fAen3tsPKTZtR/fPW6DV0OO49fCijRUVHY/WWbajbtiN6DhmOZz4+0l93ePTUG5Nnz0NwaKjOyyDOH1zJIIHDsAbA41uvsgoNBGYJoj2kDrBvGRAf/yrs9aszO4GhdYGf2wN3L7wKvbAf+PEzYEIXwPfxK395JfJbOBoI9pMudUhfCCjikL76W+9bywGfezMUyOcJbgaVuMIajeaNVRR2ttZgXJ28niZxenX98REICg7GsJ9/w+jfJ6F72zaYMmY0cuXIjsioKPQbNQZ1q1XB7Am/4odJk3HwxKk3KsTdQNds3YbFazdgybQpIn5VQQbmIig4BM9evMDyDZswfuggxMXFYdSESQnpo2NiMG/FSlQpVwb2trYJ/kZ/ERsDrJ8K3BBYRr8078WI84TOQJbcwJD5wLGNwOkdb0JBMnHpILBrITBwDtD8G2DzP4D3PW3cDdOA+oI0ZMkFTO6j9eORZS78AShWHbB3oY9RCe/B6KgIhIcGISY66S608eK+iwgLRnCADyLDQwUfezW/iun4S5jBgT4ybVxc7FtxiY2JRmiwv5QY9tfLmHEC27CQADAP1uGltzxp8w9FrIgjPdLwoIhDGoKvilYIGBMC4RER+HvREoRHRmDlP9NRr3pVuDg5ySYuXrMOgUFB+LR+PXhmy4qhX/YRA/9EMI2M8PLwwtcX81euQf/uXZE1UybUrVoFT589x9EzZxAWHgFff384OtijbIliOH3xokwVI0nDKri7uaFMsaLS7/0PBpRSDGK4fBgICwE0ePXv5Dbg4Q2gzheAa1agUU/g7/5AhIj3KpbWfWgNUKoukDE7kLMYYOcEnNujjfXkNuDoCmQvBFw+pPXjYHh0A2BpA5SopfUzsuOLp17YvfZvzPmtN66dO5DQuvj4ONy+egJbl/2B9QvGYefqaXh094ogD0L7ImI9f3IXu4TfhgXjsW35JFw9u18SXBGU5I+k4eC2hdi48BdsWvwrDm6ZD/rFi/5kmpX/fI/Vs0Zh15q/JAHRJfb3eYIDm+chwOepzivNzoo4pBn0qmCFgHEhcOXmLWzatUeYiazx6/QZ+GPmbDwRgz5buX3/QdSoVBGWFhZ0ombFCqBp4dY9L+nWHR4Kc0O0+BorWjC/9CJJKJAnD3YdPAQLC3PYCW0CCcQdYf7IlV0MdiLWjgOH5Eqazq0+F6509OfvDTy4CpSpB2gSvcqvHgNKCzJgaQ35L29WjQjnAAAQAElEQVQZIOiFMENoiZb04yEkAAgU/tkL0gUwftZ8wB1utiYGQ+dMgpQEAz6PgWwFtHFungaeiT5r8a3WbYRHU1MzuAktC4lA4uYF+HrjxN7VKFCyOjp8PREeOQvhzKENcnCPEdqeUwfWwdbBBW36/ILytVvhzMENePHkXuIs5DXJwfkjW9CwTX80bj8E966fxYUTOxAZEYoLx7cjX9EK+Kzbj7h/8zwee12TaWLEM3Hr0jFky10Uzm5ZpF9aHhLdbWlZDVW2QkAhYOgI7DxwENZWVvikRnU0rV8HKzdtwfip0xEUEoIrN24ia+ZMCU10cnQACcIL36Q2cj//AEEuLGFqairj8uBgZ4e7Dx4ho6urMF1UQd+Ro3H11m0M6t0DJBBXbt5Ej3atYWFuzujpR2hmoJbATWgVErf66R0gY7ZXPjb24lqoJHxf+1IVA5XQxUMSBhFD/lnaAv7P5SXqCo3FqgnA2V1At58FyfABSBzKNwbMLbVxjPCYwT0bipR5U5vy/PFdAVcUsuYqLHiaCbLnLgbf549AswXNCveun0HOAmVgZm6BjB65YGvvjAe3L7yB0JGdS1G0fD04ZsgEO0E0ionrfRtngSaIqMgw0R12MLcQz4CZGehmBg9unUdIkC/yFqkIExNTeqWpmKRp6apwhYBCwGgQOHHuAprWq4uq5cuhRoUK+H3UCBw/ew437ogXbmyseOGJweuN1sYn8YkTdndtLO1RFxgv/G2trfFN1844vG4VNs+fjSL582Pbvv2oVLoUSEQm/D0TRWs3QJsvvxEaCPE1rUtsjOf7VwASgSJVIEYxJPknVN7QJDe4JMVa6Ni1yTRJsQZexqvVDvhlJ/DTJqBYNeD8XsAhA+CRF9gxD+hbDhj1KfDohjYfIz7SjOD77AFsHZxgQc2MaKuNnSPMzMzxVJiFfLwfCNji4OjsJkIAUzG4O2Vwx7PHdxAdFSn9eAgJ8oP/i0fIkVeYheghJEuO/PB7/lhYnALhmskTJCjPHt2RRMLZ1QPUdGxf9SeqNOgIkhKRJM3/TNK8BqoCCgGFgIEg8O/V5I6ekYlekjmzZUPGDBnkPIZcObKB2gRdDn4BgTATX1Quzs46L3l2tLeTG3px8qP0EIfA4GDk8HhTPcuVG9RGlC1RHOevXMOc5Sswf/LvsLe1wfQFi0VKI/0LCwJmDQXEwIUj6yDnJAhihfN7gPvCdOEqsOJKC13zGZ9kgKYHnR/PFlaAmQXEyEaXVjgPwsFVe534eOUo4PcUqNAEkijMGAh8ORkoXAnYNidxTKO8JnHlZEkzgZeJxiRJG6Mjw4U2wAcmpqYwFUQicWBsTJTgZ68mUEaGhyBOkGhLzhFJHFH0T3xcLKp+0hEaExMc3bUUtZr1FFoLJxzevgjNu3yPOBF+6/IxXDq5C4F+z5KkTm2HSWoXqMpTCCgEjBOBUkUK48btuwh5uRySL1tnYZJwdXFBs/r1sP/YCURFRcnGHzh2HB7u7siX01O6dQfPbFkRFx8nTBD3pRfNHFdv3UKdauLLWvpoDzfv3MORU6fQsFYNYdqwwPXbd6SZpGCe3MibMydOX3jNnq9NZhxHMYCg2ufiC1c0J9gfkMRAXPMcFQ4Urwmc3QNERQhP8XfrDGCfAcj16itX+Gq1B1wVwUmQ9GD8RzeB3MWFSyPk5d8z0Rd7lwLVWwFWtoC3F+RkTM+igPhCxtO7MPp/Ao7XSYGuzaaCTJi9xXRjYmoGjUYkfhmZbuHx0pX0xPydMmRGg1b90K7vBOQSZg/Oh6B5ImOWXDh3eBPOHNqI21eOY/38sXJVR9IcUs+liEPqYa1KUgikKAL6ltlnjT7BY29v7D58BAGBgZixaAnyy4HcEx1aNIOpqQl2HTqM+48eY9LsuRjQsztsbWzgJdy1WrXDmYuXpYaiQ/NmmPjPLPiLPGiKcHZ0ROUyrzb08gsIwNg/p8rlniQlxKF0sSIIDQsTppHzOHPpMiqUKklv4xQ7Z6BeZ6BBV61Ubg45GFUS57wCp7INAGd34OAqwF98mW6fC7QfCdg4APcEofq1I/DiIWBtD1RuBpzaBoQEQC7pDHwBFK+BhH9hwcDmGQCXarpk1nrnKKglLVeOAHdEfplzaf2N+GhiYooM7tmFZsFPKGgiZUvDBTaR4WHIKAb1TFnzIiY6RoYzkNoBf19vOLt5IDGpcHTOKLQIznjyQBA0RhTiLcwS1raOcKKmSLj5R9LtdfM8qLHIWaC0KDMCNy4eRr6ildCwzQDcuCCeo1tvzp9g2tQQRRxSA2VVhkIgHSCQK3s2DPv6S/w5Zz5KNmgMZ6FtGNSrB8yFSYKrISaOGoGZS5bh8559QP9mDepJVKi6DQgKQkxsDEyEmrZts6aoXrECarZsiw07dmHYV30SlnUywfINm9CvW1e5PwTdlAK5c2PskEEYPHY8nJ0c8G33LvROHyK+auHkBvDMFlvaAEMWQJowRjYGStQGandgCCDU5BADHoRWR5KNkiKsfCPgO9EXnAjZpA8SVlAwxYV9In2tpH7uQkv0gzCRLB0HucKCpIJxjUjiafqR8qpRbplFu4WTkxTJnPxePIKdUwY4OLvBysYOmbPnBVdiMG1EWAhCg/zgIUiWRqORKy+4aoIahxKVGuLa2f2IjYmWcuvSUZSp3kwQazPo/oWHBuH+rfOCKFTWzqmIB+Li4sTzYQrmES8icjKlOKXJn0malKoKVQgYHQKqQRz0q5Yri70rl+LesUMYKEiDjfXLJYECntw5cmDD3Fk4tXUjmtarI3y0f9wg6uz2zShfsoTWQxy//KIDzu/ciqXTpiC3Zw7h8+rvy04dQQ3DKx/tVasmjXBm2ybM+HmcNFtofdPBkZMVZ18Vg3v+V421cwIGzwemnwLqd4YkCRD/8pQEflwPZEyEaVVh9ph2EhizEaDGQkRL+KvYFHJpZ4LHy4vi1YFJh4BhSwDuFfHS2xhOfs8f4fShDYiKDJf7Nvg9fyiblVFoFnIXKg8uuzx7eDOunN6LgiWqgysjqFUoVaUp7l47jTMH1+Pg1gXw8CwkV2Aw8cJJ/eS+DLyuVLctTMzM5dyFIzuWIDo6ClXqvyR2IgIJxYm9K5E5Wz64ZckpfCBXWVDbQDPFlqUTkTN/KWTPU1SGpcXBJC0KVWUqBBQCCgGFgEJAHxHgngmmJqZo2vE7uHvkFiaIaFlNE1NTlKn2KfIUqSD3XChRsSGKlK0jNQAajUYO5qWrNkVMTBRyFSyLag07iQHfSqat+skXKFqurry2sLRGiy4jYe/kKsQNTToMluRDBopDvJCMotwCJaqJK+0f5z+UqdYMBUtWR+Yc+fB59x/B5Z7a0NQ/KuKQ+pirElMBAVWEQkAhoBB4HwQyiq/8SvXaQScZPV7N4eCgX6B4VVSs0wae+UsKYmCZUAQH9xx5S6BC7dYoUKIqLK1tE8IKla4Jhuk87IVpiRqKkpUbgRMidf48mwltROHStWAqTHx068Ta1gGFy9RG+ZqfwyVjVp13mpz1mjhERkbC19dX2nYSoxMr7HT+/v54/vw5fHx8wHiJw5O7ZhrGZRrmGR2tZZG6uLQf6cIDAwPfKFMXT50VAgoBhYBCQCGQnhHQS+Lg7e2NrVu34qeffkKdOnVAkqDrpIiICKxduxa1a9dG3rx5UaxYMUycOBEBAQG6KG+cQ0JCsGLFChQpUkSmKVu2LObOnStUSjEyLsM3btyIli1bYsCAAfjyyy+xZ88evSAPN73NYfii2pBafXjrhSnu+JsoSWMMisRFooSSFMNAvqjVQW8Q0DviQAIwduxYdO3aFVOnTn0DqJMnT+Lhw4f46quv0K9fP4SGhmLmzJk4e/bsG3F1Hvv378fdu3cxbtw49OjRQ2oxfv31V1y9elVGOXbsGIYNGybD5syZgwIFCkj348ePZXhaHiKiNVCiMHjXeyBS3C+RsYCStMXAJj4eNlCSUhik5TtYlf0mAnpHHGxtbTFw4EB07twZ5snsPZ85c2b06tUL3bp1k4O7u7s7XFxc4ODg8GbrhE94eDiYJ/NjGpKNqlWrSvJw+fJlMPzQoUOglqNgwYKwtLREhgwZcOvWLVALIbJI079i2aKQ0qLyM15Mi2SJQSHXOCVpjMFJUyscNVGSUhik6UtYFf4GAnpHHEgWcubMCTc3N2g0mjcqTPOElZWVNE1QK0EzAwlBqVKl3ohLD2tra9SsWRNZs2onk9jb28PDwwP8RxLC9NevX5dmCbPXJqPQXMJ4ShQCCgGFgEJAIaAQ0CKgd8RBW61/P3ISI80YNDHQVLF06VIcP34c3Hjj31MCYWFhuHfvHvLkyQPOdeAWuJwMmVw6mkSS809ZP5WbQkAhoBBQCCgEDAcBgyQONE98//33mDJlCkqUKAGaHBYtWvROqytOnDghV2OMHDkSNjY2htNTqqYKAYWAQkAhoBDQAwQMkjjocPv000/BSY5OTk549uwZuOSyfPnySCwM18Xnefjw4WjSpAkaNmwI7nRH00ji+RGMoxOdSUPnVmeFgEJAIaAQUAikdwQMjjj4+fkhODg4wSzh6ekJTmrkUkuSAGoUEsvQoUNlH3MZZ5s2bZA7d265zJOTIGnmsLOzk0s0NRqNnOcgI7881KtX7+WVOikEFAIKAYWAQkAhQAT0ljhwU6f4+HipReC8BFaWUrp0abRq1QoXL16UAz3nJ3DVBDUIFhYWjPKGcALkL7/8gt27d8vVGOvWrQOFpILmCk6e5ETJ8+fPgxtDcUlo9uzZ0bx58zfyUh4KAYWAQkAhoBBIzwjoHXHgxMdRo0Zh8+bNcoMmujkf4fDhw5IoVK5cGUePHkX//v3lsk1OjPzmm29QpkyZZPuRpGHWrFlYvHixJAVclqkTU1NTmYZ5Dho0CIzHfLm/A/d8yJYtmwxXB4WAQkAhoBBQCCgEtAj8X8RBm+TjHh0dHfHFF1/InR25UmLv3r1yv4bChQvLOQl//vknaIr466+/5H4O3NCpevXqeH0ppa6WXI5JDQWJCNMlFk6wZDxqHTp27CjL7Nu3L6idoAZDRywYR4lCQCHwcRE4duYcGnfqhirNW+LHP6YgODT04xaY3nNfPRH4TphjV02AsP2mdzRU+/8PBPSOOHCeApdKcvfGxOLs7Cybxc2eEvvr9meQgckcOPhzkmPiNLprV1fXhBQ0c+TLl0/uGsk830ZEEhKoC4WAQiDFELj74AEOnzyJhVMmYsqY0diwaxcG/DhWahlTrBCVkRaB+Dhg+c/Ai4fA0EVAoI/WHSf8tTHUMQUQiBd4RoSHICTID2EhAYiJjkqBXD84ixTJQO+IQ4q0SmWiEFAIGBQC/gFB+KrzF3BxckLpokXw3Zd9cOTkaTz2fmZQ7TCIyj66Caz6Hfj0a8DZHWgmzuv+BB7dMIjqG0Il4wU5e/LgOvZvnIPVs0Zj0ZQB2LdpNsJDgwyh+v9ZR0Uc/hMiFUEhoBD42AiU3Oc8PQAAEABJREFULlYENtbWCcV4ZHKHra0NHO3tE/zURQohcOsM4JoVyJJbmyGvsxcArhzRutXxgxHg1gABPt6oVK8t2n/zO+q26INLJ3biztWTSPLPQB2KOBhox6lqKwSMGYHDQtvQvvmncLC3M+Zmpk3bvL2AzLmSlu3oJkwXj5L6Kdd7I2Bqaoa8RSrAwTkjzM0tkS13UWTIlAOBfsahQVPE4b1vDZVQIaAQSGkE4uPjcdvrPs5euYJvu3dN6exVfkQgLhYw0a4oozNBBPYJ1+nzIsVardFoYGFlk5Af72t7xwxwy5Izwc+QL0wMufKq7goBhYBxIfD02XPsOXwEU8eMNq6G6VNrXDIDAc+T1ojuDMI/qa9ypRACvt4PYCq0ENlyFU6hHNM2G0Uc0hZ/VbpCQCHwEoHQsDAcP3cOlcqUhquLC569eIHjZ8+9DFWnFEOgUEXg/hXA76k2Sz9v4N5loHBlrVtfjkZSj5BAX1w6vRuV6rWDta2jUbRKEQej6EbVCIWAYSMQFBKCoeN/xZBxv6BTv4Eo17gZWnTvjfuPHht2w/Sx9tkKAE2+BDb+BQS+EOfpQN2OQPaC+lhbg65TdFQEDmyehxIVG8Ets6dBtyVx5RVxSIyGulYIKATSBIG+I0dj0649iI6OgW9AAF74+iE2Lg4lChdKk/oYdaFCZY7OPwGx0cCwBtr5Dr0nAfR/e8NVyP+JAPdwOLlvDQqWrgkbOwf4PnuAY7tXgBqI/zMrvYuuiIPedYmqkEIg/SGwcPJE3D9xOIkc37QO+XPnSn9gpFaLu/0C/HUG+OIHQKOB+pdyCISFBGDb8knYsmwipo1qg1Hdy2Pc17Xh/fAmLCytU66gNMpJEYc0Al4VqxBQCCgE3hsBlVCvEYiPi0embPnQqO0AfNZtdIKUrfEZzBVx0Ou+U5VTCCgEFAIKAYVAqiNg6+CMinVao3L9Dkkka85CQrlj+NodpXFI9VtKFagQUAgYGQKqOQqBdIWAIg7pqrv1s7FRUdHYvf8kVm/YI2XjtoMICAwGN025efuB9GPYmfPXE67pTixPnr6QjQsJDceBw2dkvA1b9iMwKATPX/jJsPRwCIkC7gaYKEljDArHRaF4XKSSFMIgPTy7htRGRRwMqbeMtK5x8fG4c+8RWn4xFO27jcS6jfsQExMrWxsaFo6Z89bixKnLggQEY/3m/TLe1H9WwPuZL+56Pcavk+bj5Nkr4P7wC5Zuxnwhj548x/2H3ujT/2ds23VU5pUeDrHxQHh0Ohc9aL9dfBzsEa8khTBID8+uIbVREQdD6i0jrauVpQW6dmyKb3q1QUxsDMLCI0Btg0ajgZurM9q3/ARD+3dCzaplUKt6WYlCscJ50bdnKwzs2wFf9WgFF2dHUHOxcNkW1BZx+vVugy97tET+vDng4xcg06SHg6MlUNgtTkkaY3DC1AqHTZSkFAbp4dk1pDYq4mBIvWXEdTU3M8NvY/shR7bMWLluF65ev4e4uHhcvnobObJnhmsGpzdaHx4eiemzVqJz+yaoVqmk+LaB0EL44M8Zy3Hh8i25J0DL5nVRtmShN9Iqj1RDQBWkEFAIGBkCijgYWYcacnNIHgYIDYKtjTV+EeaH+w+f4tadh6hRtfQbzbpz9yFmzl+Li1duJ4RZmJtL7cO9+09Qsko7fNn/F/j4BqBiuWIJcdSFQkAhoBBQCHwYAoo4fBh+KnUKImBiokHjBlVRoWxRbN99VGoTWjStlWwJocKccede0u2IzcxM0atrC8ycMgLFiuTF/KWb0L77CGzYegC6ORPJZpaePFVbFQIKAYXAByKgiMMHAqiSpywC2TzcUb1KKVhYmIMrKjwyuyVbAOc4/Di8Fwrmf7X/O+c4bN91FM2b1MSmFZOwdvEEPHr8HMvX7IR/QHCy+ShPhYBCQCGgEPj/EFDE4f/DS8X+yAiYmpqAkyVNNP+9SYqzk72cHEnCMH/JZkRFR2ParJV4+swH2TwyoWnDavhpZB/ERMcgPj7uI9f8vbJXiRQCCgGFgMEhoIiDwXWZ8VY4Pp6TIe/g0tXb8geOnnr7YN/B0+AkSLb67PnrOHPuGi/BOQ66fRxG/vQXHj15Jndk8/ULxN9zVmPV+l1YuW43jp28hFYt6sLZ2UGmUweFgEJAIaAQ+DAEFHH4MPxU6hRGIDgkDOVKF8Ef4wegU7vGIBHgrySymKDgUGGayImpE4agYf0q4D4OlOzZMqNBnUqwtLTAvL9G49OG1WU6pv2y++do17IBOPGSefyrqECFgEJAIaAQ+E8EFHH4T4hUhNRCQKPRoGK5ouD+DDr5vFlt2Nlqf02uZrUyScJ0cXguU7IgzExNUb5MEZQuURB9un0u4zYSBCO16p9ey7l19x4mz56Ljv0GvAHB7Xte6DlkGGq3aY/1O3YmCX/w+DF6fzcCDTp0ws4Dh5KEve5YtXmrzOPLEd/D69EjGUzT1NptO/BJh874cvj3eObjI/11h0dPvTF13gKEhIbqvIz7HBYMrJ0CDK4FrPwNiPiXdu9dCgxvAMwaAvh7a3GJCgf2LRP+nwAzBgBBSfHEwxvAzvkA42lTqGM6RcAknbZbNVv/EVA1NAAEXvj5YcWmLfh1+gycu3wlSY19/f0xZc481KlaBatmTMf8lWuwZc9e0CTFQb/f6J9Qo1IF/P3zWIz47XccOXUmSXo6GHedIAcLVq3Bgkm/o0bFCpg8ay6CBRnwfv4CS9dtwJjBAxARGYkfJk5mEilcRTNv5SpUKFVSEE9b6Wf0h/3LAb8nwI/rtaRh8RggLjZps4U5EPsEaSBxGDgHyF5QkA2BG+M9vQsc3wz0EW6/p8DqSa/SxsYAR0W+eUsDFtav/I3wivdcTHQUIsNDERsTnaSF8fFxiIwIQ1hIAKIiw+W9rIsQL7CNjooQYYEybXzc2+dVxQk8wwXRCw8NQqy41uURJ/ohQvgzf9ZB5y/PIn+WyTjSnYYHRRzSEHxVtELA0BFwc3HByH590bB2zTeacvDESZBY1BXEwcXJCX07f4HFa9fDLyAAi9asg39gIJrXr4ec2bJhWN8++H7C7wiPiEiSzwtfP8xdsRIDenZH1syZUa9aVTzy9saxM2cRFh4u83K0t0e5EsVx6sJFmTYmNhbzV62Gm0sGlC2eTvbwCAsCSAaqfg7YOAAtBwP3BZG7eVpiknAgIdg6G+j8E5DBA6jYFLhzAbgpSFtoIBAptBRWgmgVrADcFf5MyIFt6yzAVcTPWZQ+Ri0+3vexe93fmP1rT1w9uy+hrfGCNNy5egpblkzAqpnfY8fKP/H43tUE8vDiqRd2rJqK1bO+x+Ylv+Ha+QOIS4Y8kCgc2r4Y6+b8iPXzxuLg1vkgQWH+184dwLK/vsPS6UOxa+1fCA8NTijf3/cp9m+aA78XjxP80upCEYe0Qt7QylX1VQj8nwgcO3MOeTw94ezkKFPmz50LkVHRePjkKXbsO4CaQttgaWkpw2pWqij8vXHb67506w4Pnz5FVHQMihcqIL2cHBxQME9uadqwsLCArY2NJBv3HjyUBISRdh08hOfCbNG1tRhE6ZEe5NZZQAxsyJJb21prOyCzuL57SevWHalVMBGv/VzFtT4OGYBs+YFjGyE1CWaiP6IjAcZzy6aNc0JoIUgqqrfSuo38qNGYwCVjVjx7fCdJSwN8n+H43lXIX6Iavvh2CrJ4FsTpg+vF4B6EmJgonDqwFjZ2jmjXdwIq1G6FU/vXgWQiSSbCQXJw5tAGNGw7EE06DsVdQUYuntwltBRhOH90K/IVrYRWPcfi3vUzeOx1VaSAJBa3Lh1D1lxF4OImCJz0TbuDuIPSrnBVskJAIWC8CNy9/wAZXcXA9LKJpqam8gssKCQEl27cQDahQXgZBGdHR0EQovHC11fnJc80d1gJcsG00kMcHISGgXm7i7xrV6mEb0b9iKu3bkutxN0HD3Dp+g30bN8OJBYievr4e3QDMBeDvp3Tq/aamQOBz1+5eRXwArDREjk6pdiKNI9vAZlyAvlKA5N6AD6PgYbi/PA6QGn+DWBmIaMb+8E1U3YUK1fvjWY+f3IHMcIUkU0M3hpBvrLnKQbf5w8RHOiD6KhIOdDnKlgWZqIfMnrkga29Ex7cfqm1SZTbkR1LZP5Orplh55gBRUVZ+zbOQmxstDB/hMHKxg7mFpYwE/0XFRkmUzIflpO3SEWYmJhKv7Q8mKRl4ars90ZAJVQI6D0CNBmYiBds4orGCzstf1SEcxBeD2M8Gc6LlxIfF//yKukpTuRjK7QN33bvigOrl2PT/NlSK7F1z35ULF0KLkLLMfGf2ShUsy7afvUNAoKCkmZgbC6aEzQaQGOCJP8ETkndwu6uYbwkvlpthZ0gEK2GABP2AqNWA2Lwk3MeyjUCzK2A5b8APYWp4o/uECPoaxkYtzNemBx8vR8IMuAMCytr2VhbgRcH96cPbsDn6X2h8ImFo3NGGWYqSLJThkx49ui2JBXSUxxCgvzgJ8hGjrwvNT7Cz8OzAHyfPZRzIzK4Z8eLJ/fwQuQXExMNZ9csCPJ/ga3LJ6FKg46SUIgkaf5nkuY1UBVQCCgEjBIBj0zuCBbaBV3jYmNjwTHLztYGObNnhV9AoC5IznfgklkXZ+cEP1442NtJLUViW3FQcDCye2RhcBLZf+w47O1sUa54MZy/ehWzly3Hoil/wMbaGtPnL0oS1+gcNCuQPESGv2qa+AoGTRGvfAAx2IGmiMR8LDQAoLYhcTxen98HZM4FZBNmoltngOObgO8WA2HBwKa/GSPdCAlteGgQzMwtYPIaOYsWmIcE+cDE1BSmZuZJMIkVJox4mpBe+kaGhyBOPAeWVjYvfXSneEk8qjXshDgR/8CWuaj1aU9BVFzkHIgWXUfJ8DtXT+LK6b2CTLymSdJlk0pnk1Qqx7iLUa1TCCgE3kCgWoVyuCZMCCGhWnXrHWG64JLZrFkyo3mD+th//DiioqJkOg76WdwzIl9OT+nWHTyzZUVsXCzu3n8ovWjmuHrzNupWqyLdugOXhB4+eRoNa9WEpTBtXLt1B9ZWViiYNw/y5cqFk+ffVBnr0hrFuYjAg9qFJ8LkwAZRxc15Cq9PZsyaTzvwP7vHWEBIAHBf2NErNtG6dUcuveTkyuI1IUZLwOsyYG0PeIj0nBNx6bAuZvo4a/AGKdA13NTMQkBkqXMmOZuYmgmyrEnwo1t4JLgTX5B0OGXIjIZtBqBjv0nIXagsrp3bjzyFKyCjR26cO7IZp/avxfULh7B+wThEhocmTp6q1yapWpoqTCGgEDBKBIJDQkGtQOJVEdXLl5dLIY+cPo0nz55hxqIlaNagHlyFVqFDi2bQiP97Dh/F/UePMXn2PPTv0U1Odjx08hQad+4m92Vwd3VF+2af4vd/ZkmtxPZ9B+AszBCVy5ROwNEvIABj/5yGrm1awi2Di/QvVbQwQsPCcEIQhrOXLqN8qRLS32gP9qLdlZsBx+HU6HUAABAASURBVIRWIPAFsGE65CqIfGUgJzr2r6od/DMITU2dDsD874FgP+DoBoATKvOXewWN+HrGwtFArXaA/UsNUAERHhoA3BKaB07ELCbye5XC6K9MTExBM0JIkH+C6SFcaF64NDNjlpxwz5oHMTExCBGmCILBZ4GTKZ1dPZKQCgfnjEKL4IynD14SPBH52eO7sLZ1hJMgDcIp/+IFCbx/64IsK1eB0uIcIQjDYeQtWgmN2g7E9XMHcT+Z+RMycSocjJE4pAJsqgiFgEKACHC5ZYev+8vlkSQPLXt9hZt3tV+zmTK6oXfHdsJMsBD12n2BpvXqoEOL5jAxMREmBTtMHDUc0xcsQvNuPTFQkIbmn9RnloiMjMRzH1/QtMG47QXJqFKuDKq2aIW127bju6/6wMXJScblYcm6Dfi6a2e5goNuSsE8efDjwP74dtSPcHSwQ//uXelt3FK7IxAVAQysAXAVRO+JgLklQBMGN3kSNnOIARCfdAdIKIbUAS4LzUH777XxdOhsmwN0FMTBPZH2J0dhoHFvYPo3wnSRD2gmzrr4RnjmwA0xeHM+jq55rplzAMKMEELCJTz9fR7DzsFFcKuMsBLamExZ8+DF03tgWmoDQoJ8kcWzADQaDSKEiSJKmDRMhQaieMUGUpMQJ/qFcuvSUZSu2hTUOIhs5R/3cvC6cQ75ilWGBc0awrQUJzRvpmZmgohYiGrFi25NuseETJhKB5NUKkcVoxBQCBghAm4uLlg8dRIenjoqZfOCOciXK2dCS4sVLIiN82bj8p4daNesaYI/L/J4eoLxz+7Ygqb169JLCjeMOrl5PbK4u0s3D307fyHzWP7XVEEQxAucni/l6y6dUKZY0ZeuV6c2nzbBhV3bMPPXn6XZ4lWIkV5RO9D5J2D2FaDLWEjTAptK88R88YWbpyRdWvlsAPD3WWDALIBaCK2v9th6KOTGUFrXq2O9zto0vf545WeEV/4vnuCsMAtwoL9z/RT8X+6b4C40M7kKlcPpA+tw/thWXD61BwVKVIO9IA9cBVGqSlPcuXpKmBQ24eCWecicowCy5SwiEVow8WvsXD1NXleu1x7QmODwjsU4snOpIMrhqPrJF9D9ixWai+N7VyJTtjzIKLQZ9Gf+eYtUwO0rJ7B12UR45iuJ7LnfvOcZNzXk4xOH1GiFKkMhoBBQCCgEFAIpgEBUVDioCWjUbhAyZMwGEghma2JqirLVmyFngTIICfRD8Qr15VJKzlvQaDTCvxRKVW4MmjBy5C+F6o06C4WPFZOicv32KFymtry2sLRGi67fS/OEjZ0jmnQYIjUXMlAc4oVWw9U9BwqWrC5c2j9TM3OUqdYc+YUGwk2Qic+7/whbQVi0oal/VMQh9TFXJSoEFAIKAYWAniLg7pFbagCoBaBw/oKuqhaWNihUqgaqNOggiEIZUBOgCzMzs4CnIAzUKDCOFTfhehlYpGwd5BRhL53gXIey1ZsLE8Wncsmlzp9nrtwoWq5uEtMF/UkyuOdDxTptwPkW9Esteb2ctxAHjbTLaDTqrNGkLQbQmEGJwuDd74G3PNJQ/xQCCgGFQMogkOxbJjwaeBakUaIHGNwOyg0lCoN3vQfuBGbCvQATJWmMQaG4KBRVkmIYpMxwZyy5pH07kiUOEZExeOEXqkQPMAj2uwclCoN3vQdCgp8jVBB/JUhTHByEndoJsVCSMhhA/dMrBJIlDs52piicw1qJHmBQMkcUlCgM3vUeKO4RgyJucUrSGIPjplY4ZGKtJIUw0KtR87XKpEdnssQhPQKh2qwQUAgoBBQCCgGFwH8joIjDf2OkYigEFAIKAYWAQSCgKpkaCCjikBooqzIUAgoBhYBCQCFgJAgo4mAkHamaoRBQCCgE9A0BVR/jREARB+PsV9UqhYBCQCGgEFAIfBQEFHH4KLCqTBUCCgGFgL4hoOqjEEgZBBRxSBkcVS4KAYWAQkAhoBBIFwgo4pAuulk1UiGgfwhER0eDP4ldq1U7NO/WC/cfPU5SyVWbt6BBh05o2LEL5ixbkSTMGByp2oawIKB/1aQyuhlw5ai2GteOAz80B/7oATy8rvVTR4XAWxBQxOEtwChvhYBC4OMicPnmTdjZ2mDx1EnI4OKCtn2/QUhomCx054FDGPHr7/hxYH/M/O1nTF+wCJt275Fh6vAeCJzeATy/D/g80srzB0DgCyBDZuD2OeD3LkC3n4FabYElPwExUe9RSPpMEh8Xh+ioCERFhiE+Pj4JCDEx0fLXMiPCQxAXF5skjGnCQ4MQERaMmGjDwlsRhyRdqRwKAYVAqiEg3rGf1quLLO7u6NzyM8THxSPq5Qt0x4GDyJc7F0oWKYysmTOhWYN6OHPx8kesmpFn7e8NTD4CLLqnldFrgLylBXHIAqyeCDTvB2QrABSpAljaAltnGzkgKde8K2f3Yem0IVg8ZQCCAwQZe5l1cIAPDm1dgGXTh2LNnB9x7ugWQRAiZajf80dYN+8nkW4wVs0ahU2Lf0VYSIAMM4SDIg6G0EuqjgoBI0SApCAmJgaXrl/HzoOHMPTL3nBxcpItrV2lMm7cuYuNO3fh+u07CAgMQocWQrUuQ9Xh/0agZjvALdurZDvnA9VbAb5PhSZCaB9K1dGGmVkAhSoA+5dr3er4nwiYmZkjVmoWghLixgntwsUT2xEc6IvWvcahYetvcf3cQdy/dV7GObZ7udBQhKPtl7/i8+4/wt/nCa6e2SfDDOGgiIMh9JKqo0LASBGg+aFV775Yun4DrK2tElpZt2plfN2lE36YNAV/zJyNLzt1QB7PHAnh6uL/RMAhw6sEvo+BG6eAAuWAIB8gIhTImAhbW0fgwdVX8dXVvyJQoEQ1eOQslCQOTQ93r51G9jxFYevgBEcXd7hnzYPbV04iRpiBAv2fS+2DmbkFrG0dYGPnJM9JMtFjh4ke101VTSGgEDByBJo3qI/NC+ZKk0TfkaNx8Zp2Yp6JqSkK5c2DiiVLYd/RY9i+74B44Sa1ERs5NB+veWd2AZ/2BahdEPZ50C4v8E5SoDAbJXErx/+FQGxsDEgOnDNkEek0MDE1g1tmTzx/fAdREeGo0agrnty/gUPbF+G8MGE4ZciEwmVqw1D+mRhKRVU9FQIKgbRC4OOWmztHdsz/YwIc7Oxw9pJ2HsOO/Qfwz+KlmPTDSPw1fixmL1uJRWvWftyKpIfco8KBq8eA0nW1raV2wUJoeoL9tW4eQ4XKPUtuXil5TwTiBSELDw2EqTBjJM4iOjoSDMuULQ+qNeqM43tW4uiuZahUt23iaHp/rYiD3neRqqBCwPgRsLWxQdbMmZHFPaNs7Prtu5DR1RV2traoW60K+nbuiGUbNsowdfgABO4LEwTNEk5anJExO6ScFVoIZits9bh2AqjRmi4lH4CAKTU6r6U3FZoHjUYDvxeP5WqKT1r3h4WljZwoGejn/Vps/XUq4qC/faNqphBIFgFj8WzapQeWrd+I8IgILFy9FtZWVqhSrpxsXsG8uXH41Gmcv3oNfoGBOHL6LD6pWUOGqcMHIHDrLJCrGKB5+eq3tAaafAmsmQS5XPPyIYArMBp0g/r3/giQIDg6Z0RwoI/MJC4uFlxJ4eyaBeZCw3NgyzzERkejRKVP0Lr3OHC5JrUPMrIBHF7ePQZQU1VFhYBCwKgQKJQvDwb+NA7cAMrX3x/L//oTNi8nSPbv0Q1tmzZBx6/7o+bnbVC0QD7Qz6gASO3GCNU5hO0dWfMmLblYNaD998BPrYA1k4FOYwA77eqWpBGV620IyP0b4hkqD+Ckx8w5CsD70W1wvkN0ZARePPVC1txFYW5pBf/njxkZGvHfzjEDSldpikD/V0s5ZaAeHxRx0OPOUVUzBARUHd8XgV+GDcWTMydwbOPaZEnBd3374NKe7biwaxsG9OwO9e8DEeB8hiZ9gKz538yoQmNg6glBHoQ5iBqJN2Mon7cgcPvKcTz2uorgIF/cuXoKUZHhcm5DqcqNEeDzBOeObMax3ctgaWWDfEUrylxKVmmCu9fPCP/lInwLrp47gAq1WsowQzgo4mAIvaTqqBBQCCgEFAJ6iUCg33PkLVJBTnCMjYlGXKx29U9Gj9woX6sVoiLCYO/khtrNe8Hu5bLYkpUaoU6L3qB+gjtI1m7WC9nzCBOSXrbwzUop4vAmJsrHgBFQVVcIKAQUAqmJQOmqTVGtYWcpZao3h5WNnSzexMQEWXLkR6V67VC66qcJpIGBJqamgmxURGURVl5oGjw8C9LbYEQRB4PpKlVRhcB/I8Dl91Hig0cJkJYYWItvSSXxSCkM/vvOVzFSEwFFHFIT7XRX1v/fYF+/QGzZeRjrt+zHxm0HERwcKjN5+PiZ9KP/1et3ERcXJ/3vP3ya4M+wI8cvIDo6Roalx8OzUA323TdVksYYNI8OQdvYYCUphEF6fJb1uc2KOOhz76TDukVEROL4qcvo+fVYtGg/CNNmrpQohISG4/bdR/h79mr4BwSBm93t3HMc3UW8eYs3wuvBU9y6/QC9+o3DpL+WyjgyYTo7ZLaLR/1csUrSGIOl5vaYa+qgJIUwSGePsd43VxEHve+ilKugIeTkkSUjPv+0Nlo0rY3Y2DjMmLsGO/ceR8F8nvimV2s0rFcZlSuUwKmzV9C5zw94/sIP477/Ct/2aYsBfdujzef1MeaXWVi+ZqchNFfVUSGgEFAIGBwCijgYXJeljwq3al4H/Xq3weOnLzDyp79wU2gT2HIzMzOe8OukBXj2whflSxdBkULa7XFNTU0FqSgOCwtzjJ0wJ8GcIROog0JAIaAQUAikCAKKOKQIjO+TiUrzXwj8Pu5btPmsntAuXMWYX2chLDxCJomKjsGjJ8+g0WiQyT3Rr/6JUG4g5OhghyeCcDx4ZDhbuIqqqz+FgEJAIWAQCCjiYBDdlD4rSe3C8EFdUbpEQSxZuQ3jf58rgYgTJgzOcZCOfzm4ODv+S6gKUggoBBQCCoH3QUARh5eoqZN+IpA/T3aMH90X2Tzc8dfsVbKSVlYWKFEsH7jN6wvfRL/qJ0I5uTI4JBTFCueFg72t8FF/CgGFgEJAIZCSCCjikJJoqrxSDAGSAmbGeQv1apXHwK87IDomll5S+vVpCwtzc5w9fx337j+RfrGxsThw5CwCg0LlREnpqQ4KAYWAQkAhkKII6ClxSNE2qswMCAHu43Dk+Hls230MJ05fTqg5iUKX9k0S3EUL5cGCf8aAu7NxFcWGrQewesMeoZVYjVFDe6Bpw+oJcdWFQkAhoBBQCKQcAoo4pByWKqcUQICmBv5inEcWNzx77pskx+l/fIcqFYon+HHlxdI541CsaF7c9XqMJ94++GfycHw/pBucnewT4qmL1EGAWqLL129g3J/TMXriJFy7fTtJwfz57MVr12Ho+F+kLFqzLkm4znH/0WNMmT0Xw3+ZgPkrV+O5r/Y+iBEapxPnzmPslGmYuWSZ0CwF6ZLIs19AALbu3Y+HtvawAAAQAElEQVSIyEjpTjcH73vApr+BlRMAb6+kzQ4S2G2YBrzcMC1poHDFRANndwPzRgBLxwPXjgPRUSJA/N2/CqyeqM072E94vPZ3cBUQHvKap3KmBwTeiTikByBUG/UDAe7j0Kf75+j/Zbs3tAamJiYoXjRfkormzJFFxmV8yqeNlKYhCUCp6AgMCsapCxdRrUJZkCR8Oex7PHzyNKEGvv4B+Hnq35g2b6GUyKiXA1RCDODZCx8cOXUapYsVRbXyZbFj/wFMmjlbkgEfPz9JGPLm9MT+Yyfw57wFiVICyzduFhooDczNzJP4G60jTpjujgjyNWMgoAFQqCLg5CYuXv4x/PBaYMWvQLx2p9WXIa9Op7YDG6YCRaoC+csAm/8BHt3UhtPf2g54cgdY9KPWT3fcOgtg/hZWOh91TkcIKOKQjjpbNVUh8DERuHzjJlo3bYyq5cqBP5nt9ehREuKwfd9+8KeyA69dROitq+jetvUb1QkMCUalMqVRpVxZNKhZA11at8KWPfsQHBqKwOBg3L3/ACWLFEL1CuWwfrt2ky9qOg6eOCXCHqJBjeowNU0nr7XLh4G9S4G2w4DGfcTgXwWwSjQh+LHQ+JzZBWjegkdEGHDpgEgnSEPZ+kCJmoB7DuC60DpA/Lt6DMglNHwkJLsWCg/+xQO3z4l0h4AabQBTM3oalYQGB+DE3pWY+1sfXDqpvcfw8p/f80dY8bfQanYri40Lf0GQ//OXIUBosD92rJqKH3pVxsI/vsHzJ3cTwhJf8H69eekopoxoiUnfNceV03tAP8Z5fO8Kpv/QHqO6l8eRnUuFougV4YsIC8bWZX/gyYMbjPr/SorGf8sdlaJlqMwUAgqBdIBAlXJlYGNtDf/AQGzZu08O4kUK5JMtDwgKws/T/sKfc+ZhvDjfffBQ+r9+yJczJzyzZU3wzuiaAVnc3cUHtUYQAlNYWFiAv0XiJ8wSLk5O4D8SloWr1mDMoG/pTB8iBhEs/wXIUQgIFuaIC/uBkIBXbacJ4vweoLjQwDm6vvJPfEXNjJvA+qJIy0EuUORjYgqpuWA8a2HuixZmnzBhEnJ0ow+kKWT/cuCbv7RuIzy+eHoPj72uw+uWIEiJ2hcm8N29bgZy5CuBH2ceh1OGTGJwX4aoyHChfInB6QPr5fWwyTtRrtbn2L5iShJiocvqsdc1rJ07Bi17jEHHbydj38bZeHD7okx7eMdSFC5dC9/+vA7njmwW/hdksjih3blx8TDcs+aBu0du6ZeWB0Uc0hJ9VbZCwMgQuHn3HkZNmISBY8ahfo1qsLK0lC2MjIxC3y6dUSR/fsxZtgJ9R47Gi5dzF2SEtxye+figQumSsLWxRgZnZ5QrURx/L1oiTCKX0KNdGzB820tNBkkL0su/83sBn8daDcH9a8D874FVvwPhwVoE9i0DONjnKal1J3ckcajaEnDKCEzrC+wWWgVqHTzyaWNX+hQ4sBI4vw9oPRgggTgnyEiVFgBNGNpYRnf0zFcSDdv0f6NdTx/cQkiQHwqUqAoTU1PkK1YJzx7ekuQgKioC188fRIHiVWFpbYvcBcvBwtIa966feSOf/Ztmo4CIl8WzIFwz5UCRsnWEpuJPRIs8wkL8Ye/kCmsbO1gIMxDJCjN49ugOfLwfIH/xKoJAm9ErTUURhzSFXxWuEDAuBDJnzIg2nzZGmWJFMWbSn3K+Alvo7uaKft27YOLokZg2dgzOXb6MVZu3MuitQvPEHWGaqF+9miQgTg72+LZ7V3z5RQdMGDkMn9SsgR37D6JQvrzIlT0bVm7agoYdu2DYL7/JORFvzdgYAo5vAooJbQLNBZ/2BbqNBzjf4ZYYqB5cA/yeAhXFwP9fpgRXD6BUXcA5E7B9LvBCaII0Gi1CDXsCzb4BOo4CanfUTpzUiCGDZIQE4sfPgOlfi7K8tfGN+EhTgu+z+7C1dxTEwE621M4xA4QqDM8e30GAz1NERoTC2S0L+M/EzExeP314EzExUfSSEh4aJLQZ1wTpqCjdPOTMXwqP7l5GRFgI7BwyINDvGcJCAhEpNBl0R4aHYuvyP1CiUiMR7sIkaS7iLkjzOqgKKAQUAkaCgL2dLSqXLYOl06aAJIImC13TTMSA5OLkiCZ1a6NPx/a4cvOWLuiNM1/Upy9cRGY3N1QsXQoajUZKBmcnSRRy58iO215e8PH3R61KFeH16DGG/zoBA3p1x617Xli4eu0beRqVR2QY5Fe/pQ1AzQEnN9LswHkNuxYCjXoBNDNwHgMnRlITQXcSEOKBk9u0ZGGQIA3tRwJr/gDunNfGsnUAsuUHsuQBxJcwLh4AqgqyEPgCGCM0FfU7izrYC8IxRxvfcI//WfP4uDgEB/jAQuBtSnOOSGGiMZX3ZFiwP/yF9sdUkAVqGUQQNOJgKkhbZHiIMGPECpf2L0yYO2KiImFn/4oAmJlbIDY2BrGCYFRr1Bk3Lx3DlJEtUbZ6c2TKlhfbV01FjcZd4OKaRZozIgWRiBPxtTmmzdEkbYpVpSoEFALGjgBXRjg5OCTbzHy5cqFkYWGfTyY0JjYWZy5dxqVrN9CwVg25QoNkIHFUHz9/obHYgk/r1ZXzKo6dOQt7W1tUKl0K5YoXlxMqE8c3uus8pYDHgniJr9KEtlkLrEkOKH9+CUzupV1REfAcmCLcXD6ZEFlckFSc3QXYOAKCmKGaIAPlGwOcUIlE/8Rgh2U/A7XaAbYi7p2LAEfGYjWA3MUhJ0vCyP+J9mpMkh8uTQSRMDExSxYAjdDQiKQJYXQjsUdCCMB83D1yo/fIeRgz6zjK1miBGxcOI1PWPMhVoCyunTuAxX8OwJzfemPX2r8Ro1s2myiP1LpMHonUKl2VoxBQCBgNAovXrseGnbsQEhaGO173cf3OHTSsKQYX0cKrQrvACZExMTG4cecurt2+g6Zi0BdBeOHrhzGT/8S9Bw8RFh6O9dt3YNCYcbj36CFG/zEZg34aj+37DzCqlJDQUEydOx+1KlcCNQ/0pKmC8yhIMFhO3pye9DZeqd7q5ZyD3ZB7KdB0YSW0DzRd9P4DGL5UK51+1JohvlsE1O4APH8AbJgOcH8HMeDJVRg3T0FOsORAFBcLUHOhQy4qHNi7BChZC8hRWOvrJswbvHp0AxDqezi705Vyooc5aTQmcHTJhAihQYjhxFNRR06KjBbaAyeBRwb3bIgVhJfhIghxQsvD1Rn2Tm4wFRoF+lFsHVxgZW0nNBTClEQPIQHCNEFNhp2Tq3Bp/6hx835wE37PH6JoubrgHIqzRzajQIlqaNVrLA5unY+nabi6QhEHbT+po0JAIfCBCDx9/hxDxv6Cz3v2wZzlKzGkTy8UK1RQ5nry/AU079YTTbr0wJ7DR9C55WfI6CpsxCLUPzAIs5YsBzd+Wr11G4aO/xWnL17CzMXLBEFYAG4CVblMaRFT+8e5DCWKFEZNYaLQ+gDUbnQSeX414nv4Bwbgm25Cja4LNMZzxuzA5wOBHfOBYfUBTmDkskxhI//X5vp5AwdWAKGBgLklpBbBRmgqRjYBxrcBqEIvXe9VFhcEYbNzAqiJ0PlmF33aTWggZg8FuGFUg266EKM9azQaZMySU1h/IgR50E5ADQp4IUwX1nARxMFeEASusvB99hD8FysIcoDAOnOO/DAxMaWXFEtB7vIVq4xr5w9KNw+3Lx9HwVLVJaGgmxIjtEa3r5xAzgJlYC1MRvGC0IWHBcs5DpxQGSfcQf7CZMTIaSAmaVCmKlIhoBAwQgQG9+6JGwf3YPviBRj/3WA5QdLMVPvS7Nzqc1zYtQ3bFs3Dl506Imf2bAkI5MvliYenjqJGpQr44rMWuHPkAEJuXgH3etBJqaJFEuJ3bdMKzRvUg+nLvBlgYW6OoV/1xuF1q7Hi72nInkU7SY1hRitl6gOj1wCTjwDUMmQr8GZT85cD/joDCHu7DCwg3H+IQStzLkAMhiAJYNopR4GxW4AW3woNhTsS/pVtIMhF+1fpGWBqrp1D8dseUf5aIK8wm9DfSCQ2NkZqBGgKCAsJROxLDUOWHAXgkjEbzh/ZIvdsOHNoI7LlLgoHQRo4t6FY+Qa4fHoPAny9cWznMnF/msMzX0mJyj9ju2Dzkgnyuk6LL+Vqi5uXjuLmxaO4JYhDvRZfyTAeqG24fHo3zCwskT1PMdFNGpgJkufukQsP71zGsd0rYG1jD4+cBZFW/xRxSCvkVbkKAYWAQkAhoHcI3L12Sq5iyF2onCQCdLOSpmbmqPVpd8SL/yv/GQkPzwKoWLeN4GTmcnAvVKqGJAobFoxDbGw0mnUanqBF8MxXQu7BwHw46Hcd8jcuHNuGS6d2ou1Xv8DJNTODpERHRuDZw9soV+Mz6ebBTJg7qjXsDI2JCe4ITUSnAVPhlOFVGsZJTVHEITXRVmUpBBQCCoEPQUCl/egI5C1SEd2GzEiQvEUrJZRpI8w2tZv1RpdB01Gu5ucJxIARqHXgSggO6rWb94ZcrskAIfVb9QPDxKX8c/fIjZY9f8Jn3X4QBKSQ9NMdLKys0aD1tzAXGgedH89OGTLJ/SU69PsDOfKWoFeaiSIOaQa9KlghoBBQCCgEFAKGh4DeEYe4uDisX78eefPmhaOjI4oUKYJr164l7OVNiDkzOyQkBCtXrkTp0qXh+x870NFmFBYWhipVqsg8me9ff/2F6OhoZgeWef/+feTKlQseHh5o1aoV7t27J8PS+hAVo4EShcE73wOxQJSS1MLgreVYCXW2knikFAZp/R5W5SdFQO+Iw4kTJ7Bw4UJJCDiQP3z4EIMHD8aDBw9kzcPDwzFt2jQUKlQIPXr0kH7/dbh9+za+//57ZM2aFTVq1ICdnR2GDRuG/fv3y6RnzpzBZ599hiFDhuDmzZvIkSMHvvnmG/j5+cnwtDxsu2QNJQqDd70Hdl6zwt77pkrSGIPPokPQPjZYSQphkJbvYFX2mwjoHXG4dOkSJk+ejOXLl2P69OmyxtQ43L17V15T2+Dm5oZy5crBNNGsahn4lkNoaCj69Okj85w5c6ZMy6jUQkRFRUkC4eXlhRIlSsDW1hY5c+bEwYMHsXv3bkZLU/m0ZBiUKAze9R5oXCQCDXLFpk/Ro3YvMbfHHFMHJSmEQZq+hFXhbyCgd8SBX/7Zs2eXFa1UqRIyZswIc3NzmJmZST97e3u0b98eFSpUgInJu1W/aNGi0gzBDE6dOoXz589LbUXt2rURHBwMkhWaLUgaGEcn64XJRHetzgoBhYBCQCGgEFAIAO828qYiUhkyZEgojdqF58+fw9PTE5kzZ07w/38vqJkgyWjQoAG6du0qTRAkBdQ4RERE4NmzZ8lmefny5WT9ladCQCHwnwioCAoBhYCRIqB3xCExzpzA6ODggI4dOyJPnjyJg97revv27aCpgnm9ePECzZs3R2Rk5HvlpRIpBBQCCgGFgEIgPSKgt8SB8xo4yHfu3FlOXHzXzhkxYgQSy4YNG5IkbdKkCcaMWpN4dAAAEABJREFUGSMnSlKjEBAQAGtr6yRxdA4XFxfdpTorBAwbAVV7hYBCQCGQQgjoJXHg8soJEyagTp06ckWFlZXVOze3ZcuWSCxcrpk4Mc0WFStWRO7cuaX5g2YQSuI4uuuqVavqLtVZIaAQUAgoBBQCCgGBgN4RB5oOZsyYIfdWoOaAcxOePn2KFStWgEsxRZ3lH/dm4AXPFF5TSpQoIVdHlHh55mTK3r1749NPP03Y74F5csIll3NSq8CJloz36NEjuV9EbGysnJDZtm1bZqlEIZDSCKj8FAIKAYWAwSKgd8Rh2bJlIHFYt26dnNfADZkKFCgAHx8fWFhYgEsr9+zZA66O4ABPUwM3guI+D4kJhK5HNBoNqLE4dOgQmjZtCs5zoPmiVq1a6Nu3r4xWv359tGnTBrNnz8aaNWtw7tw5DB8+XG5CJSOog0JAIaAQUAgoBBQCEgG9Iw7cEXLo0KEYN25cEuHgTjMDl01yV8dq1arhp59+woABA6R2IjAwUDbo9QMnV/YWGofx48eDGgRuBkUtQ6dOnWBpaSmjOzs7S6JQr149eHt7y0mTPXv2lFoHGUEdjBsB1bo0QSAsPByL1qzDyN8m4s+583HvwcMk9fB+8QKbd+/Fxl27EfVyl9ckEZTj/0PgyFpg0Y/A2snAwxtJ0/p7A0fXA6e2A1ERScOUSyHwGgJ6RxyoBUhOuBKCdXdyckL37t2ltiBxPO7VoNFoGOUNocaC5EEXnxMkuXtk4ogkE7169ZL5JheeOK66VggoBD4cgXXbdyCDsxNqV6mEc5evoPd3I/DoqRjAXmY9bd4CQSp+xyZBHLg0+6W3Or0PAvuXAxrxui9VF/B5BPzcDniq3VQP/Df7O2D+KEEctgExUfRRohB4KwLiTnprmApQCKQFAqrMdIKArY0NGtaqiZqVKmLyD9/D6/Fj7BImRV3zR3zTV4bHxsTqvNT5fRGIExhWagYUrgR0HA2EBwMHVr7KbfB8oFQdIFbEe+Wrrt4TgciIUKz6ZySunN4jc4iNicaJvaswtm8tjOpREevmj0VYSIAMM8SDIg6G2GuqzgoBI0CgWf16Ca1wdHBA/ly5YG5mnuCnLlIQgVrtX2VmbQ/kKAyYWbzyU1cphkBsbAxO7FmJ6xcOJeT5+N5VWNs6YMjELegxbBa8bpzFrjV/gYQiIZIBXZgYUF1VVdMCAVWmQiAVEAgICkJoWBgqly2dCqWl8yKobXh+Hyj3SToH4uM0/+7VU/B78RjOrlkSCrC2c0Th0rVgYWmNbLmKoFLdNnjy4DrCQ4MS4hjShSIOhtRbqq4KASNF4K8Fi9CjXRvk8PAw0hbqUbMOrgYa9wGy5tOjShlHVQL9vHH13H7UaNxNkgRdq9wye8I0kTbNysYe9o6uIKHQxTGksyIOhtRbgKqtQsCoEOAS6qOnzyJrlixo82kTcI8Vo2qgXjUmHrh/BTC3BD7pDpiY6lXtDL0yMdGRuHBsO8pWaw6aJd7Wnvj4ONy6fAKlqjSFqan2xxvfFldf/U30tWKqXgoBhYBxIxAXF4ebd+/hjpcXPm/YADGxsXj67DnCI9RywI/S8z6PgXuXgOI1AI0GEF/HCA+B+vfhCMTHx+OJ13U4u2VBRo+cb80wLi4WNy8dhZW1LQqVEv3w1pj6HaCIw4f0j0qrEFAIvDcCpy5cxE9TpuLQyVMYO2Uavhv/K2YtW47Q8HCZJ1/GXIYZFRMjd3SVnurwfgg8vgUs+Qlyn4ZNfwPzvwdWTQBCE83s5zLMuBhAELr3KyT9pqK24eT+NbhwfDu2Lp8k5A88f3IPJ/etSVhZQXTu37oAv+ePUb/VN3QarCjiYLBdpyquEDBcBM5cvIwu/Qdjw45dWLJuA6bMmYc5y1ZAI/67ODrKhg34cRxWbt6CfUeOoW7bjtJPHd4DgQfXgZ/bA5zbcHQDsGGaVsKCAZfM2gyH1AZObgNO7wRmDRF+wqwhjurv3RAwM7NA1U++QPVGXVGyUmMUq9AADk5uyFWwDDxyFpKZ+D57AM6BKFa+HhifJOL+rfMyzNAOxkQcDA17VV+FQLpFoHSxIri6fxeCb1xG6K2rUvyvXsD3334N3TyHGb+Mhdfxw3h85jiObliTbrH64IZnLwBMOwms8QXW+b+S/jMB3TyH3/YAC+8Ai+4C9BcE7oPLTUcZaExM4J41D7LlLiIlq2chWNnYwTVTDjhlyCy1D4v/HIiFk/rh+27lMLB1PiyZOlAtx0xH94hqqkJAIaAQUAgoBN6KgImpKbLnLQ47R1cZ58iOxbC1d0ahUjUThJqHjB65ZLihHT6exsHQkFD1VQgoBBQCCgGFQAogYG5hhQat+iGHIA/MrnmX79H9u5lJpHH7IbBzyMBggxNFHAyuy1SFFQIKAYWAQkAh8PEReFsJiji8DRnln2oIcPZ8eEQkQsPCpYSFRYBL9ViB6OgY6cewyKjohGu6E0tsrHaP/bj4eES8zEuXT2xsHLNKFyKajxjRXCVIUxwsEA8lKYdBunh4DaiRijgYUGcZa1VDQsPRb+jvsMtcFY5Zq6Pup1/C68FTuQRv0/ZDKF6pLeo364uZc9eiUt2uMl6R8q3QuvMwtGg/GPlKtQDjxcXFY9ee42jTdQRafjEU7XuMxN9z1mDj1gPGCt0b7fIO1WDXPTMlaYxBq+hgfBGjJKUweONGT5ce+tNoRRz0py/SbU3s7Wzwx/j+aFCnEjQaE5QuWRCuGZyg0WhQo0opfNO7DRbP/gl9e7VCvz5tJU6NG1TD5pWTsWHZH/i6Z2vY2dogSmgkJk5bjLo1y2PTiklYPu9n7D90GnfvP5Zp0sMhs108PskdoySNMVhs7oDZZkpSCoP08OwaUhsVcTCk3jLiunLgnzF5GJwc7bBw2RbcvvtQahyuXr+HvLmzIZtHpjdaTzPGZqGR6NX1M1QoW0SaN67f9MKeAyfxwicAlhbmGNC3A/Llzv5GWuWhEFAIKAQ+BIH0nFYRh/Tc+3rW9qwe7ugtSEBQcCj+EWYJznvYte8EPqlbGaamSW9VkoaLV25h+55jcHaylxoHc3MzGZemicz56uO3yQtRslh+NG5QVc9aqqqjEFAIKAQMFwETw626qrmxIWBqYoK2LRvIwX7m/LWYMWcNWjark2wzd+w5ir6DfksSRuLww7CeGPR1R7hnzICho/9Ehdqdce7iDamNSBJZORQCCgEjQkA1JTURUMQhNdFWZf0nArk8PVC7elmYmZli/+EzKFIod7JpOMdhyeyx8MjslhAeExMLrwdP8MuPX2PGpGHCTNEeFy7fxLR/VoBajISI6kIhoBBQCCgE3hsBRRzeGzqV8GMgYGVpATdXZ5iZ/vdP/ubMkQVf9Wgpq7F15xFERkVh4tTFCAkJQ7PGNfDj8N7o27MVnvsEICIyCuqfQkAhkDoIqFKMGwFFHIy7fw2udVHR0YiKjgF/Yod7M3CeA/d5YEMio6IR+ZIAcI5DWHgEbG2tsWz1Dpw5fx3cw2DjtoMY/8c8+AcEIUoQibv3HqNMqYJwcXJgFkoUAgoBhYBC4AMRUMThAwFUyVMOgbi4OCxbtQPHTl5EnRrl5HLMkT/9BV+/QFnIrPnrsGXHYTSqXwWPnjyT+zhwL4clK7chX57ssDA3w7zpo+Ucia5fjsEXvUajfNki+OG7nrCwMJd5qINCIP0hoFqsEEhZBBRxSFk8VW4fgICJiQk6tWss92fgHg2UieP6yz0dmO3XvVonCWO4Tlq3qCvJQfvWn8gJleuW/i7jjhrag0mVpCICh06cwg9/TMbI3yZi+vyFePr8uSyd2qTdhw5jzOQ/sWbrNmE+ipT+yR2e+/hi1tLlmPD3TJy7cjVhcmtAUBCWb9iEURP+wL6jx5IkpYbq5PkLuHbrttA+xScJM1qH12Vgxa/AwtHA6onA0zuvmnr9JLD8F2DvUiAi9JX/61fBfsDuxdq4V44CMS/NeqGCsDMt87h5+vVUwO1zwP2rb/orH6NHQBEHo+9i1UCFQOohEBYejvmrVmPijFmYNGsO9hw5ClMT7WuGhGLlpq2oWrYsTl+4hD9mzkm2YuEREeg9bARiYmJQpEA+TJ49F4+eekvysG3ffhw5fRqVy5WRBOT0hYsJeXi/eIHt+w/C3s5OaqsSAvTsIsWqwwH++GZg1e/Auj+BQ6sBk5dzg7yuAGsnAXlLAb6PtcQiuYKjBXlbOg4IfAEUqijyWAXoSMLpncC1Y4B7DmBiN8D73qscfJ8AB1YCBvojTa8aoq7eBwHtE/0+KVUahYBCQCHwGgLnr1xF8YIF8fjsCYTcvIK1s2Ygo6sr+BsiI36dgKb16qBm5YoY+lVvrN66FacSDfy6rFZs3IygkBD0+aIDPqlZQ+b3y/S/5eTXi9duIHNGd9SqXAkOdvY4fVF8cYuEccLMxXTVK5RD1sxvbhYmohjfn48gBJxEPOM8sFZoDaZwkPeEULcAEzoDZT8BStcDGvcGjm0Czu97E4ML+4EnQkvR4lugWHWgcGWhfVgk4gmNzTWhfcjgAdRsCzx/ANw6K/zFX1ws8Hd/oF4nwNldeBjXX1hIIE7uW425E77EpZOCPCVqnr/PE6z4exiGdyqJjQt/RnCAT0Io0+1cPQ2jupfHgolf48VTr4SwpBfxuH3lBCYPa4GJQ5ri6ln2i8BbRHpy/xqmjW6HEV3K4Oiu5aIr44Sv9i8iPARbl/2BJ/dvaD3S8GiShmWrohUCCgEjQiAiMhI7DhyUGoJvR4/BLmGWoB+beO7yFdDMUKJwITrh5OCAcsWL4/hZoe6WPtpDTGwsDp86jUa1amo9xLFi6ZLYKfKlJsLa0hI0eURFRSMsIhy2NtagiWLx2vUwNzdH9QrlRYr/58+A4148AGz8G5jznSAGG4HIMG1jHomB5ZkYtIoIEkAfa3ugfGPgTNJBEIJs4Z7Q2HgWYSytZBf98+A6EBYMWNtpzRY0WTCU7qgIYPtcoHY7IFsB+hqdPHt8Bw/uXILXzZdE6WULSQx2rf0b2fOWwNi5p+DokglHdi5FVGQ44sR9e+rAOnBwHzF1L8rV+gzblk9CUMCLl6lfnR573cDqWaPQsudYdBowFXvW/YOHdy7LfA5tW4wiZWpj4G8bcPbwRjy4JfpHJI0TZO3GhcNwz5pbivBK0z9FHNIUflW4QsB4ENBoNChVpAiaf1Ifl6/fRK+hw7Fx5245sN+4c1cO7O5urgkNdsvggrv3xZdsgg8QGBQMHz8/eGbNluCbwdkZXE772PsZqgmNwhNvb3w/YSIyCU0GSQWJxk2Rf8/2bRPSpIsLt+xALdFm36fAlN7AroVioI8Gnt3Xah1cX2GITJ54Yz5CVDjg9wwQA6Cw7Wghs3UQaeOAx7eAUkJb8eIhsGAUULoukKckcPkQxCgJVPxUG98Ijznzl0LjdoPeaNnThzcREuiLgiWqCYuQGfIVqwxv4Rfk/xxRAsvr5w+igAiztLZFniaDHr8AABAASURBVEIVYGFpjXvXz7yRz/5Ns5G/eFV45CwE10w5UKRsHWxfOQXRgpSFhfjD3skV1jb2sLCwQqhwM4Pnj+/Cx/sB8herAlNTM3qlqSjikKbwq8IVAsaDgKWFhTRFjBnUH8v++hOVypTGik2b8dzHF6FhoWJs0sDc7NVLLy4uXs5jSIwA5zXExMSC2oPE/rymf6XSpfHdV33Qvvmn+HXEdyJPE2nu+KrLF+D8iuG/TECjTl2xefdeJjFuKSG0Mu1GAoOEBqBaS2DPEmFSEKRBah7iAXOLpO3nnIjEPtQ40M/UPLGv9jo6CihYHmj9HdCgK/DVVEiNhtdVrfaCWoh/xOA6ujlw3vix5pJwXzFw29o7wtLGTmJk75hBnjmoB/h4I1KYElzcPKSfibjPnV2zSGIRQ4ylLxAuNDmP7l0RpKPSSx8gZ4FSQuNwCRFhIbB1yIBAv+cICw2SGgg74Y4MD5Xai+IVGsDuZZkJidPowiSNylXFKgQUAkaIgEajEeYDG+TOkR2/DBsCE+EODA6Gg70DuDkHX8C6Zms0Iq6tjc4pzxYW5rAQJof4ePHVK31EMm7QIa7t7WzFV5g5com8SxcrCmdHR+w9cgwkE5kzZsS8Favx5NlzfNutK7oPGooHT56IVEb8J/CD+KpFRqF5+OpPwFqYJKgat+LAphHAvcIQ8bEQo1JSMDg/wtzytXiCcDAWNQ9mFkCW3ECu4oCTG3DxIJCvNOCWFVgwGggNEKSiC7B4LKTZg+mMVOIFyQoW2FpY2sD05QRUE3HWaDQIDfaDv88jmAqyQC0DIRDoS3eEIAo0Y9CPEhbsj5ioSNg7uNApxVz0QWxsDGIFwajesBNuXDiESd81R+lqzZApWz5sX/Unqjb8AhncsyImOlJqJuKE6UImTqODIg5pBLwqViGg/wh8WA0tLS1RplgxODk6CO1DKcQJMnD5xk2ZaXRMDE5fvCjDpcfLA8lAwby5cejEyZc+wIWr15A9axbk8cyR4MeLo6fPIFa8QIsXKkin0DxcQLFCBVC3WhVBMCyw/+hx6Z9uDvnLQJodchUDrGyAG6e0TReDEk5uB4oLDYXWR3sUgyCyC+weCC3CS3ImJ0qSeHCugzaW9nhwtVbjkL+c1n1sA8DJlHlKAbHCPHLjVX9pIxjZUTABjUnywyUJBCW5Fms0JhBJE4I0wo3EHgkhgMbEFO5Z86DPqIXgHIpyNT/DTUEiMnnkQe6C5XD93EEsmNQP/4zrhj3rZghtncAdafPPJG2KVaUqBBQCxoYAJ0JykOckRk6EPHDsBPLlzgU3Fxdky5wZTerUlpMnqYHYtncf4sVgVaWcGOwEECs3bcGy9RvFFfBZo09w4vwFcF7Ec19fuaSzV/t2Mkx3uON1HwcFuWCetjbW0jt7lix4+uwZSE5iBDHJkdVD+hvtgcsmhXoc4cHAiS1AppyAWzbIlQ6NegGH1wK0kV8+DAT5AuUbaaE4uxvYMlN7XbQqEOgDcD8I5nPpEOR8Bk2i0e2WsNOTGHB1hc78wQmVXI3xzAsQX8pS66HN0SiPGjHgO7q4I0KYDWJIlEQrOa8hWph0nIRJwiVjNsTFxonwEBEiFDCCJIeGBMJeaGpMqbmRvlT6OMPS2g7+vt4vfQT8wjRBTYa9k2uCH58N74e34Pv8IYqWr4eoqAicObJJzq9o3Xsc9m+ei6dpuLpCEYeErlIXCgH9RkDfaxcUHCI3farTpgPGTp6KLO7uqCe+/k2pEheV79vlCzx7/gLNu/XCjv0H8duIYcjkJlTgImzr3v3YvGevuAJKFCqEwb174ruff0XXAUNQOF9ecMKlDBQHEpOfp/+Ntp82hUcmd+Gj/evatpWcT9Fz6DC5lLN8yRLaAGM9cv+GEYIMzB0BMRoBVT8HdBPnWvQTWgdb4Of2wN4lQN+pWlJBLK4cAfYv5xWkKaJJH2DZeGBcG4DEoHorbRiPAc+Bk9sAznWwdaSPVrr9DDy5DcwdDtTuAGTIovU30qNGo0HGLLkQHRkOzkVgM4P8XwjNlhVc3Dzg4JwRJBa+zx4ySJgdYhDo+xSZs+eDiamp9OPB0soW+YpWEtqDA3RKuXX5OAqUrAYrQSikhzjQJHH7ynF45i8Na2E2iheatfDQYDnHwS2zJ2iqCPIXfSPipsWfSVoUqspUCCgEjA+BjK4ZsGn+bBxZvxq/jxqBymVLy/kOupZ6ZMqECd8Px96VSzF9/E/QmRgYPn/SBCyZOpmXMBEq4cZ1amHd7H+wecEcfNO1Mxzs7GQYD9ZWVpg94RcUyJObzgTJnysXFkyeiKPr1+D7b7+GlTCVJAQa48UIMfj/IQYgzm8oUQuwsX/VSiuBV4dRwLitQP9ZQMEKr8I6jgYmaEkaNGIIKFoNGL4MGCu0Fq2HJiUBThmB9iMBR9dX6XlFjcN3i4E/DgLNvqaP0QgHZU5QjBXaBJIE3RyFLDkKwFmQhPNHtyA8NAhnDm1A1lxFJGng3IZi5evj8qk9CBKE4tiu5QJaU3jmF6Ycgcw/Y7tg85IJ4gqo+9lXuH31FG4LwkDScPPSEdQTfjJQHuJx5cxewQHNkSNvcWg0GpgJQpcxiyce3b2ME3tWgQTEI2dBGTstDuKuSYtiVZkKAUNHQNVfIaAQMEYEbl85gQ0LxyNHvpI4J0jCrSvHZDNNzcxRu1lPqU1YMm2Q0CbkR6W6beUAr9FoUKh0TTnQr549CtFR4WjWeWSCFiF77qJCY5FT5mMtCF73oTNwWhAPkpC2X/0KZ2HukIHiEBkRjsde11C+5ufCpf0zM7dE9UZdECfMe9cvHELngdPglCGzNjANjoo4pAHoqkiFgEJAIaAQ0E8EaEroOXwOdMK9E3Q1tbFzEhqDL9F96ExUqN0KVi+XZjKcWgdOaOw6+G9Qq6BbrsmwT9oOQLlERICTINv0+Rkte/6ErDkLM0qCWFrZoFHbgcJqZJXgxwsShcbtBqHTgD/hKUgN/dJKFHFIK+RVuSmKgMpMIaAQUAgoBFIHgWSJA1UyNrb2UJL2GMTYloIShcG73gOxlp6IiYOSNMbAHPFQknIYpM5wqEp5VwSSJQ4PnoVi3cGHSvQAg00Hb8DwRNU5rfpsy2lv7LxnpiSNMWgTHYwuMUpSCoN3HdBUvNRBIFni4JHBAvVLOykp7ZTmGDQvHQolCoN3vQeaFo1Aw9wxStIYg0XmDphppiSlMEid4VCV8q4IJEsc3jWximcYCKhaKgQUAgoBhYBCIKUQUMQhpZBU+SgEFAIKAYWAQiAdIKCIQ6p3sipQIaAQUAgoBBQChouAIg6G23eq5goBhYBCQCGgEEh1BNI9cUh1xFWBCgGFgEJAIaAQMGAEFHEw4M5TVVcIKAQUAgoBhUBqI6BnxCG1m6/KUwgoBBQCCgGFgELg/0FAEYf/By0VVyGgEEgxBGJiY3H87Hn8PO1vjJ86HXuPHEVUdHSS/COjokScc/jt738wde6CJGHK8R8I+D4GNv0NLPoROLgaCPZLmuDUNmDFb8DJrUn96eJPbzMdZcN0+ihRCCQg8K/EISGWulAIKAQUAimMwMVr1/DrX3/D3TUDKpYphWnzF2H/seMJpYSFh2PSrDmYLvxdnJxQo1KFhDB18Q4IHN0AZMsP5CgM7JgHLB4DREdqEx5YCRzfDOQtBZzeCexfofXXHRf/BKydrJWH13S+6qwQkAgo4iBhUAeFgEIgtRHYeeAQXJ2d0b5FM9SsWBGNa9fClj17ZTXi4+Mxa+lyXLt1GxO+H4bubVujaAExCMpQdfhPBG6cAsp+ApSoBVT7HPjiB+DiQeD+FcDvKfBnH6B+V6BUHaBJb+H+EvB9os32wn5BNgoCq18A64SWou80rb86voFAgO9TLJj0DYZ2KIrfBzfFpVO7ERcbI+OFhQRi85IJGNGlNH4f0hTXzx0E72sGxsXF4u6101gydRC2LptEr48lHyVfRRw+CqwqU4WAQuC/EMiVPTvuPniIs5cuIzgkBM98fPBJjRoy2a6DhzFt3kI0rFUTV27clBITo30hywjq8O8I5C8LZMr5Kk7uEoBGA5iYAteOA9b2QL7SkP+yFQDcswOXDwNREcDWWcJ8sR34q582bkyUjKYOSREIDwuG183zaNCqH35ecA7la7XErjXT4f3wFmIFeTi5fw3MLawwesYhtOoxBge3LpBkgeQhVtzLNy4ehteNs4iOFpgnzVrvXYo46H0XqQoqBIwTgXrVqyJ/nlwY9+d0TF+wGAXz5kbtqpVlY3+fMRN5c3kiLi4O63fsQu9hI4U2Yp8MU4f3QODeRcCzCJAlD/DkjvY6cTb0f3gDiIkGyjcCyn0C3DoDTBfkgdqLxHHVtUTARGOC3IXKImOWXDAxNUPRcnVh5+AC70e3ES0I2N2rp5C/eBVYWNrAI2dhIQVxQ5CFmOgoQSgsUa1hJ3h4Cs2OzM2wDiaGVV1VW4WAQsBYELC3tUWjWrVgbWWFvxcugq9/AMzNzPDg8VNcv3MH33TpjM8afYJxQwahUN48mPjPLAQGBxtL81OvHZFhwJpJwGf9AStbICIUEF/Cb1QgVpAGG3ugVjug0xjgm78Bt2zA3iVvRFUegKW1LewdXYUiRyPhMBX3rpWNHVwzZRfmilj4PLsvwrRDrKkgFpmz58OLJ/cEqQiX8Q35oG2VIbdA1V0hoBAwSAQuCxPE3iPH8PfPY/HbyOH4afKf2LBzFyIiI6QtOKOrKyzMzeFgb4e2nzbFCz8/SS4MsrFpVen4OGD3IqDNd0BuYa5gPaztAPrzWidCswP669y8zlMSaNwLECp5nbeRnVO0OYF+z+CWOScyZMwGjYmJUN5E45nQPiA+XmrOQoMDYSoIBKAlGjDgfyYGXHdVdYWAQsCAEdi0aw+ioiLh6uKM1k0aYfjXX2Ht1u2wsbaCo4MDrty8mdA6M3Mz2NnYwlGQiARPdfHvCNDswHkL7p6QKysixZeunzdQoBxw4QAQHqJNHyHOnBBZqJLWnfjo7A7kfTkXIrG/uk6CQJTA9sHtS8hbpAJshbnCQmh0SldpgpMH1uLs0S24eeko7lw5DvdseWBpZZMkrSE6TAyx0qrOCgGFgOEj4CTIwf3HT3Dv4UOERwgtg/jq9cicGW4uGdCjXRssWLUG9x89ho+fP5at34g2nzZGBmdnw294arXg2EZg8z/A+X3Akp+AhaMB7t2QsxhQqjZwYIUgD8HA/pVAkcoANQwBL4BHLwlbkA9w7xJQWISlRp0NuIxzghw4u2ZGrgJlZStMzcxRtWEnVK7bFgE+TxAWEoDo6EgRXhoMk5EM+KCIgwF3nqq6QsCQEWj+ST3kz5ULXQcOQYsevfHY+xl6tm8DS0sLdGvbGrUqV0K3QUPxRb8ByOPpKcLaGnJzU7fuuxYAc4dDbu60RZAHznE4tgFwyQTYOgJf/gncPgeMbwd4XQa+nq6d//D8PjBrMPBdPe28iKz5gZxFU7dDsPQVAAAQAElEQVTuBlbahePb4ZQhs9A2VJSrKQ5tWyhbYGPniJKVG6Ny/Q64d/0MchUsi+x5XpqLZAzDPSjiYLh9p2quEDBoBDwyZZJ7NOxbuQzbFs3HmMED4Jk1q2yTnY2NMF18id3LF2Pronno36Mr7O3sZJg6vAMCdTsB824A6/xfyVzh5t4OTE4Cwf0ZftoE9P4DchIk/fOVAX4UBOOXnUCXcQCXdQq1O4OUJEWAqyMO71iMlTOG45+xnTGkfWEM7VAEXjfPyojhoUG4efEIZv3cHZY2dqjdrJdcTSEDxSFamDeohYgIC0aMgS15VcRBdKD6UwgoBBQCCgGFwP+DwPMnd+W+DNnzlkD+4lUTpFSVpoiOisDWZX/IDaEatx+Mxu0GJcmacyL2rP9HTpoM8PXG0qlCy5Mkhn47FHHQ7/5RtVMIKAQUAoDCQO8QyJKjAL74djJ6jZibRAqXriU0C1b4rPsP+KzbaHjmK/lG3S0srUX4jwnpvug/5Y04+uyhiIM+946qm0JAIaAQUAgoBPQMAUUc9KxD0nt14uLiERkVjcjIKHnm9qzEJDYuTusn/GNiYuklJTb2lT/TREfHSP/0erjjr8Hs8+ZKPi4G/4nvqEg//BbtqySFMEivz7O+tlsRB33tmXRaryvX76Bp6/5w8awF+yxVsW7zfonE/oNn0ET4FyrfCguXbQEJwp27jzD4+8koVqktPm07EI1bfYsq9bth78FTiIh4+SuAMnX6OeR2jkf3EtFK0hiDMZYuGGKeQUkKYZB+nmDDaKkiDobRT+mmlkUL5cFvP/VDvZoVJDn44ed/cOnKbdSuURabVwp7YucW6NqxKbwePEXXr8ZgzYa9mDphMLavnYotq6egQF5PfNFrNHbsPZ5uMEv3DVUAKAQUAqmKgCIOqQq3KuxdEejYthE+bVgd1294YbQgD0+9fWRSW1treZ40fQkOHTuHKhVLoEaV0tLPwtwcbT6vj8CgEPz062zppw4KAYWAQkAhkLIIKOKQsniq3FIIAScHO6xc8AtKFs+PdZv2Yeb8dYhPlPeZ89dgYqJB7pxZYWFhnhDi4uwAVxcnMNzrwZMEf3WRagioghQCCgEjR0ARByPvYENuHgnBpF8GIrO7K2iyWC8IBNsTHBwqzRi8/jextrL8t2AVphBQCCgEFALvgYAiDu8BmkqSegiUKpYfo4f1RAYXR/Qd/Jss2N7eFrmEpiFeqCBIIqTnywMnTXJiZPasmeCeMcNL33R8Uk1XCCgEFAIpjIAiDikMqMouZRGwElqDDq0bolO7xggIDE7IvGfn5nLXtUtXb+OFj7/0j4uLw8Urt+DjG4BeXVtIP3VQCCgEFAIKgZRFQBGHlMVT5faBCHDfhpiYGDzx9kHMy/0abG2sMHFcf+TPkyMh93q1KmD8qL44cOQs5izagKioaEEsQvC10Eo0alAV3Tp+mhBXjy5UVRQCCgGFgMEjoIiDwXehcTXg8tU7GP/7XCxavgU//ZZ0ZcT5I8uQPat7QoOHDeyMIzvnYt/B03KPh7Zdh2PEoG5Yv/R3ZaZIQCn1LmJjY3Hrnhf2HzuOI6fOyF+7TFy6X0AAjpw+g0MnTuHB4/+euBoj8rvjdR8Hj5/E3fsPpIbpsbc3Dp08hbOXLiMiMuleHeEREbjt5YUYQTwTl2u019dPAOf3vZKLB4AXD7XNjY0G7l0CLh165acNefsx4AXw6CYQ+3ITtUDhvnYcuHkaiAp/M939q0BM1Jv+ysfoETAx+haqBhoUAkUL58GaxROwY900/Di8V5K6m5mZoskn1ZL4lStdWMZlfMqYEb2ThP+rQwWmKAJXbt7CnsNHcPzMOcxbsRJDxv0sB3IWEhgUhHFTp2PngYPYd/QYRvz6Oy7fEIMUA5MRkoC/FizCn3PnY9u+/ZKEBIg8ps5dgG1792P8tL+wZuv2JCl3iLyPibK5y2iSAGN0hAQA49sBPwqTnE5+7wJwoGd7dy8G9gi5LIjDmknAs/v0/XdZMxHY+BcQGaaNt/kf4NAaYNPfwI75Wj/d8fxe4OwuQRxekgydvzqnCwQUcUgX3awaqRD4+AjcuncPrZs2xqDePTBu6GA8fPIUyzdulgUvWbcB8XFxGNynF4YIyZszB374Y/IbWgNGJmkY8dvvuCqISI92bTCiX19UKVcGvv4BOHv5Mjq0aIbyJUtg1pJljC7l2q3bQjNxCs3q14OlhYX0M+rDxf1As6+Bn3e8khyFgXxlgbsXgSVjgYY9gM8HAtnyA/8M+nc4Tm4FqLHQaRsY++QWoFJToHh1YMWv9NGK9z1g5wKgbifAykbrp47pCgFFHNJVd+t1Y1XlDByBzxp+AmdHR5iZmcHdzRXVypeD93Oh7hbtmrN8JYoWKAA7Gxtwwmvrpk1w4cpV3BGmCBGc5G/uilU4cPS4IB+DkD93LlhbWkGj0UhTRUxMLExNTWU+oWHaL+Og4GD0GTYSowd8A3s72yR5Ga0jaz6gxbdAgXJasbQGMucCMnkCZ3YCeUsBWfIA5pZAmfrAhX3A0zvJw+H7BNi1EKjRNml4VARgag5YCHIQ9nJickQosPgnoI/QYtg5JY1vJK6wkCCc2r8W837/EpdOCiwTtSvA9ylW/D0M33Usho0Lf0ZwoG9CaHhoEHaunoaRXctg/sS+8H32ICHs9Yu7105h0nfNMWFQY1w7J0xMLyM8fXAdU0e1xfBOJXFs9wpwztfLIESGh2Lrsol4cv+6zivNziZpVrIqWCGgEDBqBAKCAlG7SiXZRk5e9Xr0SF7zkCOrB6KiY/DM59WLl/5Pnj3Hlt17UatKZYz7czpqtW6Hb0b9gOcinpOjgyQSh06cxIHjJ9GySWOQPMxYvBS/fz8Cjvb2zCJ9SPZCSdu5RZgVqn6u9XtwDchdQnvNo7snBPMCOCcBr/0jIdi9COj285vag2I1gKvHAJo7GnYHoiOBw2uBmm0Ae5fXMjIe57NHt3Dv5lncu3E2SaPCQgOxa81fyJanGMbPPwsHF3cc2bEEUZHhiIuNxakD6xAh8Px++gGUq/kZtiydiOAAnyR50PHkwQ2s+GckWvYai84Dp2HX2r/w6O4Vmc+hbYtQtEwdDPp9M84c2oAHty8wiSTNNy4eRkaP3HAXIj3T8KCIQxqCr9dFq8opBD4AgYvXrsvUNSpWkOc6VSth087duCT8OdjvPnwE3CLcXWgmZISXh3sPHgpCEY0WnzTA2CEDMXHUCJy9dFmYPDbB1dkZvTq2R2R0NJo1qIfOrT4DJ2J6ZMqE4oUL4sS585jw90ys2LQZ0SLOyyyN/0SNweNbQJ6S2rYG+wHUQGhdr47UILxyQU6CvHoEyFsayJQzcYj2+tOvAFsHSK1GS2HqoAmE8x8KlBck5AqwdopWUxEaoI1vJMecBUqjaYehb7TG+8EtUMNQsGR1mJiaIX+xKvB+eBNB/s8RFRUuNQcFSlQX0NsiT+EKMLewwt3rp9/IZ9/G2TJt1pyF4ZbZUxKF7SunIFr0T2iwP+ydXWFtYw8LkZ5uZvDiyV34PL2P/MWrwNTMnF5pKoo4pCn8qnCFgPEhQO3Apl17MOLrvqDpgi387qsvUbZEcXQf/B1G/jYRB4+dQI6sWZDX05PBCRISGgpbYc4okCc3bKytUbpoUVQtX1ZqGEyFiaJEoYL4qlNHtGnaGEHBIbh+567UavgFBGDw2J9hY2ONlZu2YPv+gwl5Gv3Fhf1AtZaAtZ22qZI0aLTXiY9iIErshO9jwP8ZkL9MEu8EB00dDboBtdoDNHmc3gGUqgvExQATOgMs4uYp4OAaGPs/mgx8vO/Dxs4RVjZanO0dM8hmPxeDeqCvtzAlhMAlo4f04+Du4pZFEItbiImJln48UCPxWGgX8herRKcUEpUHty8iIjwEtkKTE+T3HGHC7BEVGQE74Y6MCMO2FZNRtHw92Du6yjRpfTBJ6wqo8t8JARVJIWAQCHCJ5LyVq9Hm08bI7J4RcfHx0k5LzcI/v47Hic3r8eOg/qDGgRMlLRL9zggb6GBvJ80PMS+XVJIsuGVwhZ0gBAzXCV/kc5evRK1KFZHJzQ27Dx1BcEgIurT6HOVLlMDsZSt0UY37LNTkAlSgYtNX7cwniMCVw6/c0kQRD3gWeeXHq7N7gH8GA53yAZ9nBGZ/B+xbBnyRG6LTGEMrog+x6EegeA3IeRTXTgJP7gD1uwJFqgCntmnjGfGRE3uDA17A0soGpiZmsqUmJqbQaDQIDfKD34tHMDUzg4UkbQA5lanQDESEBSEu0YRTahCoWdCRDoh/5haWiI2NRmx0FKo16oSr5/Zj4uAmKFW1CTLnKABqIyrXbw/XTDlEXrEibozoHtGfIm1a/SnikFbIq3IVAkaGgK+/PzgJ0lKQAa+Hj8DlkTMWLcG127dlS2miuHrrNn6dPgNffN4C9atXk/5h4eFyb4eAwCDk8fRERtcMUmtAEsKVFF4PH6JVk8YyLg9RwgyxYNUaeGb1QMkihekFzn/gvg9+AQHwDwqCi5OT9Df6w0NhEspTCnDQfv3K9pauBzy9Bzy8oZ2XwKWTJWpDmiOEnV7uy0DC0UAM/KufAzrp/gtQsy2wUJACMSDKvDjoHdsEOLppSQI9hRqdJwT5AszPylY6jfogmIDGJPnhkgSCklz7NRoTiKQJQRrhRmKPhBBAY2KKTFnz4qsflmD8gnOoUKslblw4DPcsuYTpozxunD8kJ2z+9UMH7Fk/A7GJNBlI5X8mqVyecRSnWqEQUAgkQSAwOBgjhAli3JRpco+Gpl16oEX33jhw7LjUCKzdth2jJ07CKmFGKJQ3D/p80SEh/aOnz9Cubz9cvnEDbhlc0Ltje5w4fx7Df5mAX6b9JQhCVtSqXDEhPveB8PHzRyehXdB5VilbBhVKlsSYyVNx6+5d9GjXWhdkvOe4OODuBSBbAYhRBwn/qFngnITNfwPLxgNcPtlVnBmBZGLGAMDvKV3/LXfOi/R3gRb9XsXNUwKoLvBdIYgGN5iq0uJVmJFeacSA7+DsLswRoaB2gM3kvIZooSVwcs0iTBRZhTYgTpgbQhkkNW1hIYGwE6YFUzML6ceDrb2z0FrYIcBXmIjoISTQ/4XQVNgIM0QG4Xr5J7Q83o9uw8fbC8UqNADNFmcOb0SBEtXQus947Ns4G08f3HwZOfVPijikPuaqRIWA0SFgZWmJbm1aYu3sGdizYkmCjBs6WM5zKFaggNQadGvbGq2aNk6y10K2LJmxTqQrVrCgxKWyIAFjBw8Q8Ruhw2fN0atDO1hbWckwHorkzy/9LC1evZAd7e3l8s2e7dti/HeDUaHUy4mCTGCsohGfrqXrAsWE5obXidtZvRXQqBdQoSnQUpgjsuTWhuYoBHw9HciQRetOfKzQBPhckIrEGgR3T6DuF4CF9auYVnaQqzCYf5thQNkGr8KM9Eqj0SBjlpxiAA9HeFiIbGWQGPDNhZnBxc0DJBUOLhnhbYYiAgAAEABJREFU9/yhDKM2IMDXW5ga8sPE1FT68WBpbYu8RSvi+vlXSzBvXz4mCEFVWOk0OSJidHQkbl8+jpz5S8Pa1gHxcbFy3oO9k6uoRy7ECXeg3yvyIZKk6p9Jqpb2cQpTuSoEFAJpjIClhQXKFi8uB2wO2jrJ45kDGo0GeXJ6olyJ4siaORPMhS04cXWtrSxRpngxcH4D/U1NTJDdwwPMo3ihggn+DKN4ZHJPdr8GmjjKFCuKfLlywUTkwbhGLQJXZPAAbBzebKapsMNnLwjkKw24ZHoVzgmUOYsCr0+UZAzxRS3nMAiVOZ1SxBcz7F3kZZKDnRPkKg4SEU6cTBJo2I74+Di5eoKDPycm0s0WeXgWhFOGzLhwbCuiIsLkcsmsnoUFacgoNAbWKFauPi6d3CXnPBznHgwiUc58wowkzv+M7YLNSyaIK6DeZ31x49Ix3L16CneunsQ1YYKgHxL9u3p2H2i6yJGvhHx+zMwt4JYpBx7du4KT+9aAKy6yeApNU6I0qXmpiENqoq3KUggoBBQCCgG9RuCmGNTXzPkB2XIXxemD63Hz4hFZX052rN28N6KiIjD/j6/lfITK9duB/hqNBoXL1EL2PMWw7K/vhMkiBC26fi+0CHYybdZcheGWWWhvhMva1h49vpuJ4/tWyfzb9/0Nzm5ZRIj2j2Tl4Z3LqFC7pdZDHM0EOaveuCtiY2Jw5cxedBn0F5yFiUQEpclfyhOHNGmGKlQhoBBQCCgEFAIfjkD+YpXRe+T8BMlfvGpCprb2Tqj/+dfoOXwOKtZtI4iBfUIYV1SUr9US3QUpqN/yayReOtmo3SAwTBc5U7a8aPfVb2jdezyy5iqi85Znrtxo3H4wuA+E9Hh5cHbNjCYdhgjSMB2e+bWajJdBqX7SS+Lw5MkTfPvtt6hfvz4+++wz7N+/P1lgjhw5gq5duyIoKCjZ8Ld53rp1Cz179sSdO3cSovj7+6N58+ayzJEjR8LHxychTF0oBBQCCgGFgEIgvSDwX+3UO+Lg7e0tB/XFixfj9OnT2L17N4YOHYrz58/LtsTHx2PLli3ImzcvGjZsiAsXLiA6Ohrv+i80NBQzZ87EihUrwGumI5EgaahQoYL0J2kYPnw4IiMjGZymMmWnI5QoDN71Hph+0BazzpsrSWMMRkf6YkK0j5IUwiBNX8Kq8DcQ0DvicP78efz000/yi//YsWOwtLTEw4cPQULB2nNQ37ZtG2xtbeWkEfr9P7Jjxw5JHHRpYmNjsXfvXly7dg0VK1aEk5MTihUrJgkEy9fFS6tzv3qBUKIweNd74KtqoehRIlpJGmPwo2UGDDZ3VZJCGKTV+1c/ytW/WugdcahcuTJKliwpkbp8+TLs7OykCUHn5+bmhmnTpqFDhw7gr/DJiO94OHnyJLZv3w5XV9eEFMHBwTh79iwiIiLg7Oyc4M+LlStX8qREIaAQUAgoBBQCCoGXCOgdcbC3twfnOPTv3x+DBg1CQEAAwsPDP3h51YMHDzBv3jz06NEDLi4uL5sPmfejRL/alxAgLmgqESf1pxBQCCgEFAIKAYmAOgB6RxzYKVmyZMGkSZOQO3duxMXFYc2aNZgzZw7+n7kMzEcnnBcxYsQIjB8/HtRY6Px5Zv66ffHpTizUQiR2q2uFgEJAIaAQUAikdwT0kjjoOmXXrl0YOHAgzM3NceLEiXearMgVGImFcxeWLl2K7NmzS5ME8wkLC5NFUKNAjcbbTB7W1tYynjooBBQCCgGFgD4ioOqUFgjoNXEgIJ07d0auXLnkvATTRFt3Miw5OXXqFBLLzZs3cenSJTkvokWLFnLFhs40QXPI9evXkS1btuSyQtmyZZP1V54KAYWAQkAhoBBIrwjoHXHo2LEjfv31VzlZkZ1iYWGBDBkyoGrVqnKFBf3+TQYPHozE0qRJE/Tu3RtcTUGZP39+AlGYPn06atasiVKlSsHKygp+fn5Jsm7VqlUSt3IoBBQCCgGFwNsRUCHpAwG9Iw6bN2+WcxE4x4GTIqktyJEjh9wIivvPc74Cl1A+ffpUzn9gHC8vL3mdXJcxjaenJ7hHA4WrM3QmCC675ERJkosyZcqAqyh8fX3l3hDt27eXaZLLU/kpBBQCCgGFgEIgvSKgd8SBKx9q1KiB48ePo02bNjh8+DBmzJgh921gJ5Ew0Hxx+/ZtqYXgRlBjxowBl1lyoiPj/JuQNJQrVw4sg0s9GTdz5syyDO4RwZ0oPTw85F4S1HYwXIlCQCHwcRHwDwzEiXPnkxTy6Kk3Dp86jeNnz8HXPyBJmHK8CwJviRMWBFw8kHyg31Pg6asddZOPpHzTOwJ6RxyaNWuGDRs2JMgPP/yQpI+44mLRokUJ4bq43EWS2oUkkZNxuLu7gyYKpuPcCV0UznPgbpL0HzVqlDSP6MLUWSGgEPh4CERFR+PnqX+h19ARCYXce/AQYyb/iQPHTmD99p0Y9stvgjz4J4Sri/dEIDYa2D4X+KH5mxmQUKybAmyZ+WaY8lEIJEJA74hDorqpS4WAQiAdILB51x4cPXM2SUt/+GMy+BPZg3v3wLC+X8L7+Qv8s3hZkjiG5tCL+l47AZzbA8THv1mdG6eAM7uA6LTfav/NyhmGz4sn97B69g+Y/kMH7N0wE6HBr8iu3/NHWPnPCEwb3RanD643jAa9pZaKOLwFGOWtEFAIfHwEHj55itte99Gsft2Ewh4+eYJ9R4+hbPHioLnQ0cEebT5tghUbNyP05VLqhMjq4t0RCBGDmNdloGhVQKNBkn8kEie3AcVrJvFWjndHIDjgBbavnIL8xSuj14i5IFHYt3E2oqMihUTg1uXjaNCqH+o07yPIxWhcPrX73TPXs5iKOOhZh6jqKATSCwIRkZHYe+QoypcsAXs7u4RmR8fEyg/ix97eCX45PDxAk8YL36QrnxIi/N8X6TDB5cOAoyuQKWfSxkeFA8t/Bqq3ApzckoYp17shIIjXvRvnYCfwzVu4AszMLVC+Vks8vncV/i8eIywkEPmLVYKDc0YUKFENOXIXQ1ho0LvlrYexTPSwTqpKCgGFQDpA4MqNm+Dma+VLlRAfwK++gN3dXJE7Rw7MX7kaT549R2BwMA4cPwF7WxtkeO33ZNIBTCnTxCd3gOcPgLKfACamSfM8tR3IkgcoUC6pv3K9MwKcmO/j7SUIbyw0L/F1FCTBxNQML57eg6OLO5xcs4AE4uLx7cicowAKlqj6zvnrW0RFHPStR1R9FALpAIGQ0FCs3bYDjWrXhJWlJRI32dbaGhNHj5BLrNt8+TWmzVuAwydPoUalCkIzYZs4qrp+FwQiw4B1fwLVWwNWr+H34CoQIcIrJzNZ8l3yVnG0CGg0MLewEiTBC1HEU/hqZ5HEI/rlnJEAn6fYuPBnrJ7zA2Kio2BqZiFiGeafIg6G2W+q1goBg0Zg+YZNmCoIQfZyleFQoCgG/jgWt+7dQ8EadXBIkITSRYtg7ewZOLhmBT5v1BCXrt9Av25dDLrNaVb50zuA/cuArgWAz1yBP3poJ0d2ElqG3zoBf/UDWmfWhq34Fdi1UHt9X5CKNKu0YRXMFX3ZchXBiydeOLV/DWJjonH7ynH4Pn+EzNnyycY4uWZGi26j0bDNQJzYt0pOnpQBBnhQxMEAO01VWSHwcRH4+Ll3b9cGQdcvJcjE0SORN2dOXNu/G1XLabd6p4mCezv8OXc+Zv42Hh6ZMn38ihljCdQmrHoOrPHRyoBZELYhYMFtYNoprZ8urPVQoO4XWr8chaD+vTsC2fIUQ8teY3H/9gUs/nMgHntdQ3bhZ+vgkpCJhaU1KtRuiUZtB+HxvStJVl0kRDKAC0UcDKCTVBUVAukNgT9mzsG4P6dj6959aFq3DupWM1x7cHrru/TaXlNTM+QvVhldBv2FJh2HSJNFkTJ1YGPn9AYkGTJlhY29M0gk3gg0AA9FHAygk1QV0zcC6aH1JAfz/vgtoalVy5dF6yaN0OeLDqhTrQrM3uEH7hISq4t/R6BYNWDcluTj1GoPNPsm+TDl+58IcN+GSyd3YcWMEchdqDwKlqwGmjHOH92K9fPHIcDXG5zrcGLPapSt3kzOi/jPTPUwgiIOetgpqkoKgfSGQKaMbihZpHBCs8sWL4bSxYoik5sbTE3UayoBmJS4cHAFClZMPie3rEDmXMmHKd9/RYCEYexXNXHhxHa06T0eJSs3SiAGjhky4fyxrfi1fwM5ObJxhyEoUKL6v+anz4HqidTn3lF100MEVJUUAgoBhcCbCBQtVxc/LzyPDl9PhLObR5IIOfOXwg//HJHh3Yf+g0xZ8yQJNzSHIg6G1mOqvgoBhYBCQCGgEEhDBBRxSEPwVdEfjoDKQSGgEFAIKARSFwFFHFIXb1VaMgj4+QehdLUO0DiWkeKWqw7OX7opNwCaOHUxTJzKwlRIr37j5TXjST/ncjB1Liv91m/ZL3O+ffchajTsKfzLwSlbDVy4fAu795+UYenhcNtfg5nnzJWkMQY/RvpiYrSPkhTCID08u4bURkUcDKm39L6u71dBF2cH7Fg3Dbk8PWBpaYF+fdqiYP6ccjbylz1aYsyI3rhwdDlmTB6G2dO+B/991aMVYv1PIuDhAXzTuw0szM0RGRWN70ZPQ/06FRHx/Cie3NiONl2GCfJwk0nSheRxjkfPktFK0hiD0ZYZMNDcVUkKYZAuHl4DaqQiDgbUWcZcVdcMTpgzfZQgAGZYsHQz7t57hPh44Or1eyhWOC/y5cn+RvNjY2Nx7cY99O76GYoWzoPYmFihqbgBH58AhIVFwNraEpN+HoBMGV3fSKs8FAIKAYWAQuD9EFDE4f1wM4hUhlbJKhVK4PNmdUBzw6r1exATE4N9B0+haqUSsLAwf6M5Dx55Y+mq7SiQzxPZPNxhamaKIgVzY/bC9ajXvC9WizyqViqJRvUrv5FWeSgEFAIKAYXA+yGgiMP74aZSfQQEzMTA/1X3ltJkMXr8DKzesAflSheGs5PDG6VNn7USeUs2R0hoeEKYpSAXE8f3R6niBXDq7GW06vwdmrYekBCuLhQCCgGFgELgwxFQxOHDMXzHHFS0d0EgX94cqFurgpzfsGz1DlSrXCrZZJzjcGLPAtjb2SSEx8XFw8rSAvu2/IORg7tL0rFXaCxGj/8HoWGvCEZCAnWhEFAIKAQUAv83Aoo4/N+QqQQfEwESgdyeHnKuw3+VU6JYPrRv1UBG4yqMiMhI/PzHfERERskJlRuW/4G6Ncvjzr3HCA4Jk/HUQSGgEFAIKAQ+DIF0Sxw+DDaVWh8QMDU1RZmShXDw6Dns2ntCLt9csnIb5i3aiOjoGGni4KTLPDmzJtFM6EPdVR0UAgoBhYChIqCIg6H2nBHWOzY2DsPHTMd3P0xDlBj4t+w4jEp1u+LRk+eytb2//Rk9vh4rzRh/zV4l92owdS6Hmo16ITomBiQS/fq0QVBwKByzVYeNe2Vpopj860DY2ljLPNRBIaAQUBg+E8UAABAASURBVAgoBD4MAT0hDh/WCJXaOBAwNTXB+FFfyf0ZuEcD5eiuuciaJaNs4D9ThicJY7hOhg/sAmsrS/wwrBeG9u+EMO8jMu6GZX/ItOqQegg8fPIUh0+ewsHjJ3Hm0mWEhGnNRP6BgThx7jwOnzqNG3fuIiY2NtlKhYSG4ejpMzI989CJX0AAIoUZ6uqt2zh04iTuP36cJH18fDyePHsOX3//JP7pwvHsPvD07qum0n35EJBY7pwHYmNexdFdhQYC144LOQb4eUOug2ZYdCRw/+pL/6f0SSr+z4Agn6R+ypUuEFDEIV10s2qkQiB1EIiKisLk2XPR6Iuu+KRjZ4z87Xf4+vkjMDgY67bvxEEx4K/evBX9Rv+I9cKdXK1IGlp07y3TMw+dPPF+JkjHKUwR+W/ffxDDfv4N9x48TMiCxGLJuvV4LOKRRCQEGPtF4AtgWl9g+5xXLZ0/Evi+aVJZ/subxCFYkKzLh4HrJ4Gts4EVvwIkBMzpqiASaycDR9YDf38LBIhy6E8JEel2zgf8BHmgW0m6QiBZ4pCuEFCNVQgoBFIMgRt37yGDszPWzp6BHUsW4I9RI+GRKRPOXrqC8iWK49vuXfHT4AEoX7IEJv4zCz5+fm+Uff3OHUz4frhMzzwm/fA96lStgpzZs+HwydPIIvIb8c1X8PUPwCGh2dBlsHXvPuTOkR2F8uWFRqPReRv3OToK2DEvqbaBWgMLK2DkSmDsZq2UbwxUEEL/xIgECjOgR16g+TfA5wOAF4KIURjn7G4gYzagnSAhp3cCt07TVyvLBAnJVxrIXlDrNqJjZEQYblw4jG0rJuPutVNJWhYqiNbe9TPx95gvcGTHEoSHBSeER0WG4fSBdZg5vhu2LZ+E4IC3a2O8H97CihnDsXTaEDy8cykhD7/nj7Bmzo/4Z2wXXD2r3UZfFxgdFYHje1bAx1tol3SeaXRWxCGNgFfFKgSMDQHOM9l54CD41U+TRJEC+VEwbx5wf46alSqgcP58MDczg72dHZrUqQNqCAKDQ5LAEBwSgtZNG6N982aoUq6sFG4E1rV1Szm3JUJoNJiHuZk5rCwtERYRIdOfPH8RlBafNICZqan0SxeHG0JT4JIJ8Cz8qrnRApNvZwKl6wKFK2vlujBFVGz6Ko7uKmt+IGs+rYukIptwO7lp3WIghKk5YGOvdYsBVV4cWg3wZ6NL1oHoFOllTIcbFw5hy9LfcWz3cpAo6NoWExONXWv/RnRUJHoOn4MA36c4sXcV4uJihXUnHpdP7cWty8fQ4ZuJcMmYFevnj5Nxdel15/DQIPwzritKVmqEag2/wNLpQxEWEgjmv2/TXDg4uqJFt9HYLcp67HVVl0yQmNMyP6cMmRP8/uXiowaZfNTcVeYKAYVAukEgUgzq4WIgd3Z0xD+Ll6Fys8/lnIa4+Pg3MHj09CmKFy4kNQSJA0kq3F1dxXikkd4BQUG4cvOmJBCWFhYoVaQQnjx7hi179iI0LAxlihbBbS8vTJ49B78MGyLTpJsDTQr3rwBFqgKaRK9yd0/h1uIH/ju3B6jcQhAAB7relIhQgGRgwWggV3HANas2TpEqgM8jYKcwSWQSeeYtDdy5ADy4BjT7RhvHCI/FytfHl6MXvdGyJ17X4PvsAcpUbwZTQVyLlW+AB7cuIMDXG1GR4Th/bCuY1sbOSZICjeiC21cEYXstpx2rpyJXwTLIV6wysuYqgiKla2LDwp8RGR6CIH9vuLhnhZ2DC6ysbRH40hQU5P8cJBEFS1aHmbnFazmmvjPR3Zb6hasSFQIKAeNBwM7GBsP6fomVM6ZhkjAvuGVwwYxFS+AfEJikkZzvsEWYFYaLuEkCknFcvnETeXPmhK21NUxMTFC/ejXUrlwJ14U5Y3T/b4TZwh2bdu+FNi8NVm7eIk0g5668+lJLJlvj8Lp6FMiaX5gTcry9PZwMeWILUO+Lt8ehZoETK8Xghz2LAa/L2ril6gDFawKcPNlvBmBlA1w6KEhIc4hRDti7FFg7GXICpTaF0R45Z8ZHkAZroX2xtnWQ7XR0yYhYoYWgeSEkyA/BgT5wzSwIlgglsXAWWpmnD24gjn0g/PgXFRmB21dOoEiZ2nRKIYG4efGw0CZEwNLaDuEhQZKIxMRECfJgJ/wjcXDLfGTLXRSumf6lr2VuqXNQxCF1cFalKATSBQKmwkyQxd0dLT6pj/FDByMgMAiJVzlER0djixjoWzVphBJC4/BvoHDVxQ1BEHJlzyZ/NZVxHezt0Vzk/d1XfVC+VEkcOXUG+XPlQsF8ebFh5y5s3Lkb5ubm+HLYSLxIZv4E8zAK4Vd/kC9QqCIEo3p7k6gx4BdqtgJvj+PoBrQaAnQbD4iBC6e2a+PaiAGy6mdA835AgfIAiUrmXADz2ipMIae2QYyKwDKRTpvCaI/x8XEIFJoFKxs7kBSwoWZmFjAxNQVNFn6CVJiamomB3hb8p9FoYCmIVkigrzRB0I8SKvosMjwUzq6Z6ZRiY+coiQK1FmWqforrgkQsnPyt0EqUQ6Zs+YTJZAVcM+dA7kLlZHx9OJjoQyVUHRQCCgHjQyBfrpwoV7I4rCxfqVaPnD4DMzMz1KhY4T8bHBQcDB8/f+TKkSPZyY4379zFrXteqFy2NExNTLBp126UEqaLb7p2lisrtu1NOrnsPws0pAiLxwCzhgCtxQDUwgU4vQPY+Bcw+lPg+YNXLbl5BshaANC8w6ue2guaKsKD8cY/r0vAjVNAyVoQI6dW01C6HlC9NcCln1zO+UYivfX4/ysmrG3UHGgEjprXUsfHxQpyEAWNCNCI8MTBJByJ3ZwPAWG6MzFJZh6O8Kf2ofvQf/D1mGVo0OobcBJleEgAKtRuLa+njmqLEV3K4tLJXYmzTfXrd7ibUr1OqkCFgELAABGIiYnFcx9+YcUgMjIS9x4+QkZXV2QWGoiYmBi5N8Oug4dhZ2uDY6fPYvnGTVi4eo1s6bXbd3D11i15rTt4P3+BoOAQ5PHMofNKOFOTsXb7Dnxavw4chRaCAQ52dggJDZWahri4uAR/hhmdDF8GrPV7JWXqA02/BH7cAGTMrm0u5y488wJyFwc4quHlP2/hxz0dxICHJ7eBxwL32Ggg2B8ICwKKVnsZ8eVJ2N2x9Gfg076AhbXWk1oKLsmkGYP52Dpq/Y30qDHRwMbeSZom4oT2gc2MFSYIEgE7hwywd3JDfFy8JBAMixckgJMorYRZw1RoIuhHsRKmDjMLS0QIrQPdFGogqMWwFpoHunXi/+IJ7l0/jUr12iJamDgOb1+EwqVrotuQv+SKjLRcXaGIg66X1FkhoBD4IAQ4kXHcn9Pw46QpWLRmHe7ef4BPataAudAwLF67Hn2E+YB7PLTs9ZXco2HouF+RPYuHLPPX6TMw7s/p8lp3OHn+AooVLCA0FpY6L3mOEuaO6QsWoUyxoiic7+WKABHS5tMmuON1X+7vQI1G1fJlhW86/gt4rm28qxZjrUMcdy0AZgzQ7ulwZB0w/Rtg8U/AoVVA9kJAQWGWENHkH4nEPkFSWg8BXIR2Q3qKQ7sRwI3TgrhMAvILnD9kWabITt//NBoTuGfNg1Dx9R8RFiKrGxTwAoIfwC1LTrhmygFLYcbgfAcGklT4Pn+IzMLUQFJAP4qtvbOcq3D9wiE6pdy+ehI58hSHvaOrdPPA+Q03Lx2BR85CsHVwQawgdoH+L2Q5uQqWle5nj+4wapqIIg5pArsqVCFgfAg42Nvhi5afoV61qqhYpjSa1K2DLO4ZZUPLFC+GaWN/xPbF8xOEkyjLliguw7/7qjdGftNXXusONStXRIOa1XXOhLOpiQma1quDetWTfhlXKVdWTs7s1qYVfv9+OFycnBLSGP1Fh1HAJ92TNtNJYF+tJSC+iJME1OsE9BYDvpkwIdX5Auj4A0CzAydCVm0B2CbCzdwSqNRMaC1KJMkC5RsCbYdpy2w/MmmYEbioEYgTGoWYGKGJedkekgA7exfcunRUDNwxuHpmHzIJMuEgtA0WltYoWKI6blw4Au4DceX0XsRERyFHXi1umxb9Ci7vZFa1mvbA9XMH8fTBTSnXzh1A7Wa9GJQgXjfOyj0iSBJo1iD5cHTOKPdwuHHhMEyFFsM100vNUkKq1LtQxCH1sFYlKQSMGgELc3OULloEVcuXE5qAvLCxtkpob5H8+aQ/w3RSvmSJhN8QKZAnN7jnQ0ICcZHDwyNZc4OpqSmKFsiP1/droGaD+VQsXQqZMrqJHNLRXw6hKciUM2mDrWwhzRYmpkn93T0FERCEjeYLZ3dIDQOXXnIjKAvrpHFJHF7PlzG4vwO1DAUrADRb0M9I5NT+dRjTp6rcW2HR5G9xct9q2TKupqjzWR9cPr0H33UoinBhpqneuAssrGzAwb1MtU8RL/6P6l4e549uQdMvhsHRReArUj+5fx2+zx6KKyBTtrxo2Wss5k7og4WT+qFB637wzF9KhvEQHhqM3WtnoGLt1iAhoZ+5hRVY1vXzh7FQ1KlNn5+lBoRhaSGKOKQF6qpMhYBCQCGgENBLBMrWaI4/Vt5KkHI1P0+op6MgWl0GTceEZdckMaDpQRfI+QuN2w3Cr4svocvgv+Di9spE1GvkPDRuP1gXFTkFURgxdQ+GTtqG/MWqJPjzwtrWHr2/nw9La1s6E8TdIze+HL0Q4+adRpGydRP80+JCEYe0QF2VqRBQCCgE3gUBFUchoIcIJEscTM3MYGNjo0QPMIBNPihRGLzzPWCZSQ9fM6pKCgGFgDEhkCxxuHY/BFPXeSnRAwwmrXsGJQqDd70Hpu4Mxj/nzJV8HAzeGdcxkb74I9pHSQphYEyDrjG0JVnikM/DCt3qZ1SiBxj0rx8IJQqDd70Hvq4eil4lo5WkMQajLDNggLmrkhTCwBgGW2NqQ7LEwZgaqNqiEFAIGCkCqlkKAYVAmiCgiEOawK4KVQgoBBQCCgGFgGEioIiDYfabqrVCQN8QUPVRCCgE0gkCijikk45WzVQIKAQUAgoBhUBKIKCIQ0qgqPJQCOgbAqo+CgGFgELgIyGgiMNHAlZlqxBQCCgEFAIKAWNEQBEHY+xV1SZ9Q0DVRyGgEFAIGA0CijgYTVeqhigEDBeBgKAgnLl4KUkDIqOicPbSZRw+eUrKE+9nScKV4z8QiI8DQgOAB9cAn0dvRvZ7Clw58kriYpPGiQwDHt4Arh4DwoKShilXukZAEYd03f3ptPGq2XqFQFR0NH6ZPgPdBn2XpF7Xb99B8+69Ub99JykXrokBMEkM5fhXBIL9gC0zgYndgIOr3oy6cTowsrFWZg4CYmNexQl4DqyeCGybBZzcIgiIIg6vwFFXijioe0AhoBBIUwS27NkLahVer8TOAwfx/bdfY9ui+VKqV6jwehTl/jcErOyA/OWA1zUJTOPvLbQQj4GfNmpl0DyAP6HNMD8RNqkHYGENNPsaaDcScMvKECWvIRAa7I/tK6fg7zEdsfzAhJDfAAAQAElEQVTv4fC6eR7xcULTI+LFCiJ248JhzP2tN1bMGI4XT72Er/YvTsS5L+JuXvwbbl85rvU0oKOJAdVVVdU4EVCtSscIPHr6FLfueqFZ/bpJUHjw5InUQhw6cRJ2tjaoUr4sbKytksRRjv9AwELg5ZEXsLJ9MyK1CXfOA3cvAjmLA9kKaONEhQNzhwMOrkBLoYXImEMQCJGPNlQdEyEQFRmOS6d2o2DJ6ugxbA7sHJyxZvZo+P+PvbMArKp6A/jvvXU324ANRnd3d3eHAoqAgpSCKIJiYaIoikqnKN3d3d09YjDW3dv/nPu2tw3wbwGr83jn3HPPd/J3x853v+/cu0A/rdSda2c4tmcVbXq/TfWGnVkzfzLhIcKSI6RxMZFC0XiPvZvmExYkFDWRl5O+SnHISVdLjVURyEUEYuPi2LH/IDUqV8TONvPidubCRSqULsXxs+do2/9V5v6xjMSkx3zwuYjFC52K3LsQIKwNlsIisfxb+KwnyP0OchDXhTJx+zyUFtadz/vC2KawelpmN4YspwJScShaujpeRStgamZO7ea9sbKx5871MyQmxHFy/1oKFa+Ie4GieBeriKtnYc4f30FKSrJW7pWxP1HQp2yOJKkUhxx52dSgFYGcT+Di1WuYmJhQq0pldLrMv4raN2/G2rkzmfXVF3QQ6U+++4ErN27k/ElnhxlYWMP43+C9xdD/IwgVd8ELxVGO7dY5cC8ElZrAmDnQ+lXYOg9uCcuElOe88NxGbGvvjJtQBvR6w8+uhaWVZnWwtnUgMTGBoEf3cC9YDJ2Qm5ia4ulVHL/bl4mPFVad5zaqF9OwYcYvpi/ViyKgCCgCGoHIqChWbtpC26aNsbSw0PIej+xsbaldrQqfvvM2bi7OnL14+fEi6vy/EMjnDY16CZfE23BoraGlyBBwLQD5i6LteajRBuyc4PJRg1zFf0ogKjwEBxdPoSwUJ1lYxyLCArGyttfKS8XY0toOmZeYGK/l5eRIn5MHr8auCCgCOZPAkjXrmDprDt416mJXshxvffQp127dolTDZuw7cizTpNxcXGjZqCFOjo6Z8tXJMyBgYopmXXD2NDRmK5SE6AiRThFBfOW53CSZtnFSZP2nby6tnJychK9wUXgXq4CDs7s2y+SkRHQ6nZZOi6SbglS0aXk58agUh5x41dSYFYEcTmBQn15EXr1AxJXzWvj2wwkU9/Hh8p7t1K9ZnQePHhETG0uSuHPz839EZFQ09WtUy+GzzoLhC3+6cKojQKZ3Lvc4hPgbzuNj4epJYXUYYzgvWR0eCJfQjTMIRz3cuwJ6E6jR2iBX8VMJ3L5yipTkZMrXaKHJpXvCysZRuCwM1oWUlBQSBGu5B0Iv3BZaoRwcKcUhB188NXRFILcSmD5/ERO//pYf5y1g6969DOjRFRtr69w63eczr/BA2LXEsPHx9E7Y+Zuhn/vXYc57sOJb2P07xIRDnY4GmU85aNwb1vwISybDplnQtC84eRjkKn6CwJ3rZ/EXTCvUbIlO/Ltydj+mpmba/ocAv9tIpSEpKYEHd67i6V0SC7nH5IlWclaGUhxy1vVSo1UEciWBdk2bMOMrsVClzq5Ppw60b96U2lUq06ZxYyqWKZ0qUYe/TUAuUBUbw+gZ0OtdKFTWUNXDB1oPMrzjoVRNqNsZZFkpNTGD5v2hyyio3ARaDIDaHaREhccIJAlXxIUTO1k+8wOO7FzOvCnD+OXT/pzYuwZTMwvKVm2M77VTREeEcP/mBQIe3KJE+drCgGOitZQsrGmyjYSEOO08J0VKcchJV0uNVRHIpQTye7hTo1JF4+xKFy9Gw1o1qVG5EvlcXdDpdEZZrk0864lJZUC6Hso3ABmKpvK1toMytaFcPfAuDWKRy9S1fP9D4XJCXh9N2Xhcnqlw3j25deUES399n3u3LmiPYF47f5gbF49qj2DqdDpKVWqAZ6FSTB7ZgmVCuWjRdRj5CwneApl8cdTXY9py98Y5ls2YyMKpQlET+Tnlq88pA1XjVAQUAUVAEVAEsguBYmVq8tGMQ3y79FqmULflS9oQTc3MqduiD5/NPc6Yr9dRsEg5LV9GNnZOTPnjqlZPHl8eNVVm55igFIccc6nUQBUBReAFElBdKQKKwJ8QUIrDn4BR2YpATiRwP0LH+uumKmQxg1cSwnkjMUyFZ8QgJ/5fzM1jVopDbr66OXBu+w6ewqVwU0ycamDtXpcLl29qs1j0xyYtT+a/99GPxMXFa7uV5yxca8yXsmYdhhIWHqnVyYtRAbsU2hZLzH0hh81pnpk9v5g6qPCMGOTF/8vZec5KccjOVycPjq1+ncrsXP8LNaqWJSY2jtdHTSYgMISXerYm2v8Ak94bzOcfvkl0TByDRnzG6PemMOenD0gKOUrUg31ERcdQr8VAjp28SF79yG2EKkBWMkgB7T0/6vhsOAic6puNCCjFIRtdDDWUdAKvvNSBKhVLcfLMZb74dh6hYRHaQuDs5KAV+mXOCuYsXEOj+lXp3L6xlmdhYc6YES9z/eZdPv92rpanoudCQDWqCCgCeZiAUhzy8MXPzlMv5lOQeT9PooBnPmYLBWH5mh2Zhrtp2wH08pGnEj7Y29loMp1OR34PV1xdHNm49QAPHwVp+SpSBBQBRUAReHYElOLw7Fiqlp4xgfJlizH1i7e1PQtDhFvi9p0HWg/BIeGEh0ciTRAW5mZk/Mi/VGdqaqrtgYgVro6MslybVhNTBBQBReAFElCKwwuErbr65wTknodxo/oj3RDNOw7VGnB2shdWBSctHR+foB3TouTkZBKTkrATVojC3vnTstVREVAEFAFF4BkRUIrDMwKpmnk+BOxsrRk1tA/tWtfH72GAsZO+PVqRnJzC5au3iYiI0vLlO+Fv3r5PYFAIL/XIsj/Ko41FRYqAIqAI5FYCSnHIrVc2h89LboZMm4KHuwtffzIST3fXtCy6d2rGgD7t2b3/BKs37Nby5VMYkz6fQcVyJRj6WnctT0WKgCKgCCgCz5aAUhyeLU/V2n8kIN/j0LT963Tv/y6d+4wxtlbIy5OrJ1caz22FJWL2TxNZOOMTBrwxCVPnGtgXaEDJ4oU4uG0O5coUNZRVsSKgCCgCisAzJaAUh2eKUzX2XwnIPQ2Bt3Yg38uw6rdvMjVnaWnBsEHplgSdTkd74cJICjlGYvBRLaxfOhW5QTJTRXXyQgjcf/iQL376mTb9XqFZr75M+nYqoWHhWt8PHwXw8dQfaPPyKzTp2YcvfvyZyKhoTfZnUVRMDO998RVf/fwrCQmJonwU3/wyU2ujwyuDOHzyVKaqR0+fYcqMWURF//92M1XKqSfyLyoOrgCdndJDHy/YMheCH0I3t/T8tDLb5j99tslJcOscLP4UPuwIq743lNsyByZ1NoTTuwx5afGjOzBnPESGpOWoYx4ioBSHPHSxs8FU1RByMQG5cHdu1ZIVM37m8/fGsXbrdv5Yt16b8ZY9e+ndsQOrZv/KxJHDmfHbElZv3qrJ/iw6cOw4G3bsIjFRLGyi0KOgYHYfOiTafofypUryxU+/iFzD18//Eas2b6FHuzbYWFsbMnNzfPkIFK8K3cemh/zCyib/GualQ9CwR3p++zfAwgoqN3uSSFIiHNkACyaBawF480foMMxQbucS6PgmVBH1Zowx5Mk4LACWfgUtXwFbJ5mjQh4joBSHPHbB1XQVgedFoG61apQsWgQrS0uqV6xA/RrVOX/lqtZdq0YNKe5TGAtzcxrUrEGV8uU4cvq0Jnta9CgoSFM8KpctYxQnJCQIa0KMaN8C7wL5uevnp8liYmOZ8OU3dG/XFq/8eeRJGlNzGPI19BlvCE37QMGSIpSAfN7wymeGfCmv2RbqdjIoBhqxDJFUQNb/Cj2EAtLsZXDzAhNTQwGpIFjagJMHPDC8+h1p6VgjlIsmor8CxQ3lclkcFxvN1bMH2LLsB25dPpFpdvLPYe9aO4tfP3tFuESXEBsdYZTHx8VwYu8aZn05mC1LvyciLNAoezzx8N51ls2YwO8/v8fdm+eN4uCAe6ya+ykzP3+NS6f2GPNlIiE+jiM7lxH4UFh7ZEYWBn0W9q26zmoCqn9F4BkSyOfqkqk1W1sbKqUu/O5u6RtbTUxMSEpK0hSITBUynIz77Ete692TAh5i0UrNt7G2wtXFmZCwcA4eP0mtKlU0yU/zFtK7UweqlCurneeJqHRNsE9nyi5hHajVHqRCIS0Rto7pGA6uhrZD0s/TUmKB5ICQ2djD8m/hpcIw612ISHU/SEUk9JHBjVGpiaHWobVQqByUqWM4z4Xx1TP7Wf/b1xzc+huR4UHGGSYlJrB91S/EC26vjv2Z4Ef3xEK+nGTh6pFPdJ0/vpOr5w7S640vcHTxZPW8ycLFFmesn5aIiYpgxmcDqVCzFXWa92bJT+OIjgwTlrUEdq+bi42dIx36jWfbyp+5f/tSWjWhxBwnLi5atO1uzMuqhD6rOlb9KgKKQO4lEBAczNUbN2klLA2Pz/LS9evId220btLocZGmUKzbvoNOLZtr1ouMBfK5utK/W1em/DoLN6FAvDN0iLbPwVooFPVrVufBo0ccO3OWK6Lf5OTkjFVzYVqXPqeYSNi/EsrUTs9LSz3yRdwWQ2Gx2KflpR3DxR3xgxtQoSG8PQs+XA4X9sP2hYYSXUbCwTVo+xgGC+vG/WsgFYkK9UEuqNdOgu8FNCuEoUauiMvXbMHQDxZqf2sk44TkIh740JdqDTtjZm5JxVqt8L1+htCgh0hrw+lDG5B1be2dqVy3naiawvULR8Qx83frih8pXLISJSvWw7tYBcpUbsjaRV8QJ65jWPADXNy9sHd0xdLSmjC5X0VUDw8J4N6tC5Su1AhTMwuRk7VfpThkLf+Mvau0IpArCIRHRrJk9VreGvyasBi4Z5qT3CwprQWfjR2D7VP2ItzwvUOAcFO0aCgWp0w1wdzMjHbNmrD0lx/5ZuJ4cW6qKQ5N69YhLj6ecZO/ZM7vS5nw9RROnks3/z7WTO47PbsH6nUFe5cn53b9lEGh0D3lV31sFMj8cvXAWlgdileDup3h/D60P00lrQpvz4ah34O4g+b4FigurDxWtjBjLGwWysbSr+HUDlE+d3+lRSHI/w5W1nZY2dhpk3VwdicpIR7pXogKDyYiNBA3j0KazMTUDGe3AjzwvUKysK5pmSJKiI/l+vnDlKveTJwZviUq1OXK6X0kCFeEhaUtMVHhmiKSKCwc8jxRuIf2bZpPQZ+yuHka2jfUzLr4KT9NWTcY1bMioAjkbAJyH8LKTVuQexNqVxWLTIbpxMcnsP/YMYoVLkTZUsIXn0Emk/Fi8V+3bQe/LlpCt8FD6TroDWRbv61aQ6eBg2WRTGHZug2UK1VSa2//seOcPn+BCSOHU8LHh18W/ZapbK49EQsXRzcIxUEs+I9PUvjc8RMWBc8ioMtgoSD1IxY3TUEQC5OWY2KKtkFSuju0RWOnlwAAEABJREFUjAzRJqFAuOSHEtXh+mlhiVgNPcaBVDr2CktFhqK5MZmSkqxZFiytbTFJ5WMqjnoTE8ICHyCVChORlnI5f51Oh4WwGESGBZKUGC+ztBAZFkSssCw4uwqWWg6aa0JaLOKFG6JK/fZcOXuAxdPexqdUNTy8inN4xzJNCSlWrlZqjaw/6LN+CNl0BGpYioAi8I8ISPfAvqPHKFywAHWrVyNeKArrt+/k3OXLWjsnz58nOSUFuTnSRK9n+YZNmSwD5ubmjB70qnC7L2fN3Jn8ISwLnVq1oFfH9iyfMZ2Mn90HD/MgIABpbZC/sKUlQx6dHOxxsLMTVovgjMVzb9r/FtrmRc+iT84xxB8EZ/IXe1Imc6SFQu6TuJphA6C420XukUAnSxiClEvLhbRGSOUibUOgnTNY20G04ZFbQ+FcGqcgLAeJ6HR6MpDRJiv3OCQK5UCn06ETci0zNZIKh6iaeibaSE4C8X9Arzcx5hkTIr+UcF+8MuYnXp8wn1Y9RvDo/g2kNaNWs17437vOTx/2ZeLAmpw/tt1YLSsS+qzoVPWpCCgCuYuAdBXMWLyE18a+R9t+r2JXshxOZSsy67ffsbK0Qsrav/IavYeOwLZEWWyKl+Gr6b9QVFgfrt68jVf1OuwXSodeLHSm4s4tLci/gGrIE3fDqcjkkxq/r1vP+yPeRKfTabnN6tfF0d6emaK/gydO0KdzBy0/V0dioeHmOfAqBU9biALvaYsUcoFPA3H5KLzVAO0pCVsnkI9tnt4JB1bB7j8MexZqSf98aoWHt4VsJbzxHQI22kduzJQbJzfOhNO7oeKTe1W0crko0ul1WNs6CutBglB+k7WZJSUlIpUGG3tn7BxcSUlOIVG4F6RQKgsJwpJjKVxAeqlsyUwRLISbx9TMnFjpJhLn8hsXG42JiZlwgTiIUx16cS31JiaahePGpaPUadEbzV2xeSGlKjdgwNvT+P2X97L06YqcojigPoqAIpB9CcTGxREWEcGA7l0ZN/R1Y+jfo5tQHCw12fAB/Y35ssyYNwZr1gEXJwdGvDqAxx+lNDU1pXGd2sJ6URW9SfqvKmldeH/4sEx7JNxdXfn2wwlIV0mfTh3p0qpl9oX1zEYmlidnDyhVE+OiToaPWLSo1goyLFxIE3nzfiAWQa1kBaFEdBkFvhch5CG0e51MForYSGgmysu2tAoikorIuIWiXXHXXLa2kL8kMnP3V6fT416wGFGRocRGR2qTjQgNIEUob/nyF8HVszBSKZBPWkhhklAggvzvCVdDCUw1l5DMFdiFkuFVtDxXzuw3ZIj4xsWj2iZJO0dXcWb4SgVEPhJaoHAZbARv2V5Y8CPcRD9Fy9TQFBhpgTCUfvFx+v/GF9+36lERUARyCQEHOztNKfhg9Agyhs7C1VDAw52xrw/OlC/L9GjXVpu9i5MTY4USUUi4OLSM1MhMKA7NG9SjYa2amOjTf1XVq1ENr/yeqaXSD5XLlWWM6KdH+7aYmZmlC3JrSixm2h4D90JPn2GRClCoTGaZa0Fo/RqIxUgTiDtdSteCPu9D55HgXRoysEY+jeFVUiuaKSpQzFBeKhU2jplEueEkNiZKc03IBTxtPh7eJbAV3K6dP4S0Nlw8uVtTJuwc3TA3t9KsAXKxl49rXjyxS7MSFC5eUau+fvHXHN6xVEs37jCIS6f28vDuNRGucvHkHpp2GqLJ0iLfqyeJES6goqWrozcxwURcJwcnN2Fl8EX2YSKUQRd3r7TiL/yo/1c9qkqKgCKgCCgCikAuJHB8z2o+HdZIe7fCoh/e4tjuFdosrW3sadr5dS4c38H4/pWEPJSGbQYgN0HqTUyoVr8jySlJfDikDqcPbqD9y+NwcBEWIVH7/q2L2qIvkngKBaTba5OY+81QFk4dTcvub+JTqqoUaSEmKkJ7X0StJj0wt7TW8swsLGnQ9hVhqTjAAlGnx5DPhDWjuCbLikifFZ2qPhUBRUARUAQUgexIoFrDTnzz+2W+XXqNKb9foXqjrsZhOgpFYMDbP/LlovN06Pcetg4uRpmVUCza9RnL5/NPM2DMT7jkS7cIDJkwl3Z9xxrLFhGWhPe+38bYKRsoVUm4i4wSkI97Dnl/LmlPaKSJPISr5I0P5vPpnKNUqPnfXXFp7f6bY7ZXHIKCgpg7dy7+/v5PzO/atWvMnj2bmJiYJ2RPy1iwYAFff/11pnDr1i2taFRUFD/88IMmW7FiBZGRBj+WJlSRIqAIKAKKgCKgCGgEsr3i8NFHH/Hrr7/y4MEDbcAyOnbsGAMGDNDC9OnTif4bfw3v0qVLfPzxx3z66afGsHbtWhwcHLh//z7vvfceV65coVSpUmzYsAHZrtxoJfvLyrDiuA0qKAZ/92dg9VlLNlw3VSGLGfRPCOf1xDAVnhGDrPwd/GL6zlm9ZGvFYdasWUgrQUakd+/eZcSIEaxatYrz589nFP3f9Pr16/nll18IDAw0ht27d+Ps7MyePXtYvnw5HTt2pH379lStWpXPP/9cUyT+b6MvQNi5ahQqKAZ/92egQ/lYWhdNVCGLGSwys2OmqYMKz4jBC/hVq7r4BwSyreKwc+dOfvvtN+1xl4zz8fLy4tChQ0ycOPFv75yW1opdu3bRtWtXPD09efvtt7lx4wY6nY6IiAiOHDmCdFVImexLp9MhX2azZMkSeZqlQa8DFRQD9TOQs34GktCRJH5zqMAz4SBQvtCv6uz/E8iWisPNmzc1K4BUDv7/8P+e9PDhw1y4cEErLN0P8+fPp0+fPmzcuFFTGG7fvq3JHo/2709/1vZxmTpXBBQBRUARUATyIoFspzhIC8COHTto27Yttra2//maJCYmavsW5s2bx+rVqzU3h2xUWhzGjBnDo0ePiI2NlVlPhJCQkCfyVIYioAgoAorAiySg+spuBLKd4rB3717NTVC9enV0Ot1/5mVqakrp0qVp3LixFj766CNNgShUqJC24fLMmTP/uQ/VgCKgCCgCioAikFcIZDvFQT4S+c477+Do6EjTpk216yCfiOjevTt/xwLQsmVLMgbZntZIaqTX6zUF4o033sDc3Fzrx8PDI1Wa+VChQoXMGepMEVAEFIE8TkBNXxHIdopD7969kS4EGfr27atdIVdXV7p06YKlpaV2/v+iLVu2kDHIJzDk/obvv/9ec0uk1a1UqRKVK1emTp06SAVBvqJWbpBMk8tj586d5UEFRUARUAQUAUVAEUglkO0UhwEDBmhPTMiNka+++qo2TDc3N6RCYWVlpZ3LSFof5JMP8fHxBAQEyKynBrnHYevWrUgXhWzj5MmTWjnpEpEvg3JxcaFVq1bI9zdIhUO++EluzpSujSZNmmhlVaQIKAKKQPYkoEalCLx4AtlOcfgrBHJRL1mypPaCpqSkJOR7HerWrau9QVIqEo/Xl3scevbsSc2aNTl+/DjNmjVDWjDkvoeKFStqxcuWLcuMGTOYOXMmcu+Dr68vP/74I05OTppcRYqAIqAIKAKKgCJgIJCtFYdq1aoRFhaGfJyyknAtyCEXKVJEezGTtDhIWWhoKPK11AMHDkTuX5BlHg/58+dn06ZNWlvBwcHaC6A6dOiQqViZMmW4d++e1tayZcsoWLBgJrk6UQQUgWdL4PKNG7z98Wc07dmXZr1eYt7S5cg/z53Wi7wxOHf5Cp/98BMt+/bj1bfeSRNl22O2HVhCHOxZCh92hFH1RPoPSJZvmRAjDhUW25+Gw3utYFJn+O0ziH/6k2aitPoqAmRrxUFdH0VAEci9BA4dP8lbg19j7dyZDHmpN5N/nM7hk6eMEz5y6jRTZ83B2dGBnyd/ypxvvzLKVOIfErhxGjyLwLuLoMMb8PNbEBZoaGTddHh0F8YtEErFDLh+Cs7tNchU/K8IRIWHcPrQJnaumUlkePATbRzfu5qAB09/f9AThbNhhlIcsuFFUUNSBPICgTZNG1PAwx0ba2s6t2qJt7AMXrlxU5v6HT8/3v/qG5o3qM+rvXpQpJC3lv/PIlXaSMDDB0pUAys7yF8MXAuAtb1BLJUGaWFwzAeObqKMLZhZGGQq/scE7t44x7xvh3Pv5jmc3QpgZp6Z5eXT+1i36Cv87934x21nlwr67DIQNQ5FQBHIWwTcXV2NE5Z7kSwtLChbooSW992MWQQGh7B1z168qtdh2PiJhEVEaDIV/QsCUilISjRYEjbNhk/WgkXqZvO2g+HqMfj9Czi8DsrXF6HBv+hEVbl/6yJ//PI+TTsNok3vMVSq0xoLSxsjmLBgfw5t/524mJz915eV4mC8pCqhCCgCz5PA/2tbuijs7WypVrE8MbFxrN68jY4tmvPl+++yedE89h87zrjPvkA+JfX/2lGy/0Pg7hWY/yFcOgRrhXsibfEqVQOGTYPNc2DHIijfEJ7By/fIY5+I0EC2LP+RMlUaY23rhJ/vJaKjwiElRSORIKw6549uo3H7gdp5To6U4pCTr54auyKQCwj4+fuz48BBJr87Fml1uCvcFIni7rhrm9a4OTtTpXw5Rrw6gH1Hj/EoMCgXzDiLplC4LHy8BvpMgE2z4Ngmw0AC7kLgfRjwsVjkRNbK7yAqVCTU958QeHj3KoEPfbF3cuPiyd2sW/glO1bPICY6QugOKUgXhqWNPQV8yvyTZrNlWaU4ZMvLogalCDxvAtmj/ZCwcDbv2kuPdm0pnPokk62Ntbjh1RMaFmYcZNmSJcQvX0hKTjbmqcS/ICD3NdTvCj4VwC/Vx77mR4iNggY94JVPIfgBbJ33LxrPu1WSk5N4IBSHAoVLU75GM1p2f5MGbQdw+fReHty5irQ23L56muLlamFmbpnjQSnFIcdfQjUBRSBnEoiLjxcuiGNUrVCO4j6FiYiKYsXGzcjHMCuVLcOKTVuMEwsICqZYYW8Kej799fDGgirx1wRMTNEexSxdy1D2zmWwdQS9WA4KFIc6HeHmOYNMxX+PgHBHxMfGYGPniJWNg6b4ehUtj7OrJ8GP7nJo+x8UL19LWCPy/b32snkp8ZOSzUeohqcI5AECeW2K4RERTJ42nf6jxoh1qis2xcuQv0pNduw/gKtwT8i9DecuX9be7bB681Z+mr+AT8eOEb+QdXkN1bOZ76g6MHUInNsHG2eCdymo2MjQds22hr0Ne5fDia1wcgd0HW2QqfhvEdAJpcvB2Z2I0EDNuiAryfcKmQrrgo29M2cOb2LV3E/5YWJPLSQkxLH+t6/Yt2kBiSIty+ekoBSHnHS11FgVgVxCICgkFKkCjHilP2NfH6yFcUOH0LtTB6wsLSldrChTJ03kUVAQ127f5puJ71OhjFjscsn8X/g0XpkMrgXh2nHwKAxDf0gfQov+0P8TeCBcF74XofMIKFwuXa5Sf0lAp9MjLQyxMZHcunxCuNWSkU9YWFnbkb9QKUZ88kemYGZmQbs+71C/dT9MRZoc9lGKQw67YGq4L4KA6uN5E/Dx9mLS26MyhQkjh1O/RhIeCm8AABAASURBVHVj15XLleWdN4ZoSkW5kobHNI1ClfhnBCo2gpcmQhdhSajSHDI+NSEXrhqtoec4IR9leN8D6vNPCbh5FqZO894c3bWcGZMHcurgBqo26Iido+s/bSrbl1eKQ7a/RGqAioAioAgoAtmdgImpGWWqNqH/2z/y2rgZ9Bj8GUVLV0evN3li6J/NPUHZao2fyM8pGUpxyClXKg+PU01dEVAEFIGcQECn02FiYopUIvQmUmGQDjme+Ei5Tpdzl9+cO/InLoXKUAQUAUVAEVAEFIHnTUApDs+bcK5r/9lPKCIymmFvf0mrLsO10L3/OG7cukdySgrL1+zQ8qTs+5+XGNPyPGM4ePSsNrAHDwMZO+F7rVznvmO45evHqbNXNFleiPwidWy8YapCFjPolxDOkEQVnhWDvPB/NyfNUSkOOelq5dKx2tla887IfmzZcYh9B0/RqF41ihQugF6Y/Tq3a0S5MkWZMHYgb7zWnS4dGmvlpHzNkinM+3kSjg62PAoIJiEhkQ8++0WYCU1YOv8LZk2bSKmqXdm973guJffktDxtU2hZJFGFLGbwm5kds01VeFYMnvxJVzlZSUCflZ2rvv87gdzSQiFvT+b89KH2twgW/7ER3zsPtKldvX6H2tUrUKViKcxMTZB/DEkKTIT/0NzcDHTwxsBuFC1cUFMcDhw5QwFPNywszHF2smf+rx9hZWVJXvkIHJiISAWylEOi+MFUQcezYpBX/v/mlHkqxSGnXKk8MM6XeramUf1qHDp2jh17jpGYlKSlK5QrjrX1k4u/tDL8PGsZDetVpXzZYuj1epwd7flm2kLN8nD81CUaCVmzRjXzAD01RUVAEVAEXgwBpTg8U86qsf9CwFRYFEa83gsPdxc+/nIm+w6cEm4IO4oX9Xqi2bUb99Ct3zjuPwg0yswtzPjw3cE42Nny1dT59Bv8AVOn/4anh4uxjEooAoqAIqAI/DcCSnH4b/xU7WdIQKfTUbtGBZo0qM6dew/54Zff6dS20VN7aNuyHu+PeTWTTO6JaNa4Bif2LqJD6wZcvnabr39YwJffzScuPiFTWXWiCCgCioAi8O8I5GrF4d8hUbWykoDcl1CpfAksLcy1v4So1+ueOhy5x6Fpwxq0aV5HkwcEhhAbG8dn38wRLgsda37/lmunVlGwgDsnz1whJDRcK6ciRUARUAQUgf9GQCkO/42fqp2FBMzMTOnSoQlXr/vyx4pt2p6IeYvXsW3XUe0vLBby8qR9q/rkc3MSiohFFo5Uda0IKAKKQO4h8AIVh9wDTc3k+RBITk5m7qJ1zF64hviERI4cP8fod6cQGBSqdShdF9/9tFhLr920h9Zdh2uh1yvjCYuIFJYGPTWrleP4qYt07P027XqMwvfuQ957awD2dtaojyKgCCgCisB/J6D/702oFhSBZ0NAPhXxcq82nN6/hKgH+/E9v4EvPx6Bi7OD1sHQ17pzbNdCYvwPcuX4SlYtnqKFg9vmMm5Uf6ytLJn/y0e8O3oAyxd+xZol37Ji0dcUL+qtKRVaIypSBBQBRUAR+HcEUmspxSEVhDpkDwKmpiZYWpobg3xXg05n2OcgXRMZZRnTsp6cgTzKIPdISLm5manMVuEFE4iKjmbgmHH8OG+BsWc/f3/Gf/E1LXq/zLD3P+Dc5f//Rs97Dx4wfcEiOr82hMbde5OSksLZS5d55a2x1O/SgzGfTCY8IsLYfqToU/a35/ARraxRkFsTKcmwfSH0LQSdnWBIRbh02DDbwPvw45vwXiv44mU4vgWSkwyyP4tvnYWv+sPt84YSty8Yzt9tAQsmQVyMIV/GCXGw/lc4u0eeqZDHCOjz2HzVdBUBReA5E0hISGD278vYdfBQpp6+nzUXWxtrVs2eQevGDZnw1Tc8DAjIVCbt5PptXz7+7gceBQQy6a3RbP9jMQmJiWzatZv87u6smzeLI6dPs3Xv/rQqHDx2HAtzc2pWroROpzPm59pEZAgE3IVGvQx/Drv9G1C4HMRGGZSG0rVh0kpoMxB+fTtdIXgakPhY2DQH7l9Llx5eB/m84W2Rv+p7uHo8XbZTuAzNzKGsYXNyuiDnpxIT4nl49xrnjm4l4MGtTBOKE2wvndzNrrUzuXb+EAmSW2oJWe/WlZPsWT+Hc0e2EhudrtSmFjEewoL9tT+/fXjHUoIf3TPmR0UEc2LfGnavm42f72VjvkwkJSZw4+JRIsKC5KkMWRaU4pBl6FXHikDuJHDo5CkSxSJf3MfHOMG7fg9Yv2MnbZs2wcbaipaNGmKiN2H/0QyLUWrpgKBg3hQWiWKi/pjXB1OxTClRVq9teA0NjxD1rbXg7OBIYLBYPEW9qzdvsX3/Qbq0bpV3NsLeFBaC07ugQFHoOgravQ5WtnDzDJzbBw26gYW1WNzrQcGSsH+VIPUn3z1LwcYBHNzSC4T6g6UNuBU05IU+MhzPC2Xt0R3RfncwMTPk5aLY9+opNv0xlQ2/faMpEGlTS05KFIv9Cm5cOoZ7weJcOb2P88d2kJKcjLSG3bx0nBN71+CcryCPhMKxe/1c5GKfVj/tGBcbzbIZE4mPixUuVBPWLvxCGHOiSBLtH9m5gjvXz2Ft58i2lT8T5C84Y/jcv31JyM5qdQw5WRcrxSHr2KueFYFcR+BRUBD7jhyjX7cumRZw6WLQidkWLVxIxGBmakrZksU5fkYsflpOerRy02au3LpJZFQUpRo2peugN5BuC3MzM7zzexIQHEyQUBhu37tLcZ9CSBfFkHHjGTd0CC5OjukN5fbU0U1w7QTMHg/DasDD1LvjELHgy7mLO2d5wMQUKjSAK0e10yeiu5fRFI2GQhEwzaAIeJWGMGERuir6kJW8SoF0gexfCX0moikpMj+XhSKlq9N98CdER2V+hPvh/RtcOXuA6o26UKZKI8pUbcLFk7sIDw3QLA9Hd6+gSOlqlK/Rgjot+gil4yq3r51+gs6+TQtIEK6eui37aG1ZC4Vt++pfNAvFHVHeu2g5yldvTlx0BI/u39Tqxws3kbQ2FC9fGxuhVGiZWRjps7Bv1bUioAjkIgLxwkWx9/BR6tWohvNjC7if/0P0JibYWlsbZ5ycnILcC2HMEAn5h8qk4tGwZi1e69OTA6uXg9A4Bo19T3uvh7QoyDeD9h0+itGvDaRK+XLM/X0pH741Ens7O67dusXJc+cJEFYLcvtn4OcwXSzqfSeAXPBnjAXpvnAvhKYsHFkPwrytuS58L4JjvieJhAXCwTUw5BvQ6cn0qdsZzeKw5DMY9QvIdmXZ+l1FsRS4dwWunwJhXhcZuear0+sxlTzJ/Al6eAcLS2ts7Zw1gbNbAbHYRxIe8oi4mCjNOuDhVVyTmZlb4ORaAL/bl4U1IlnLk5G0Wpw/uo3KddqiE7x1Oh1lqzXh1P71SJleKNSJ4ppJ60OysGTohdKXnJwk5OuEwuBEQZ+yspksD4/9pGT5eNQAFAFFIIcSuHHbl/j4eKpVKI9e/ELMOA1z6Q/PmCHSer1O/II2Fan0b3BoKKHh4XRr20ZYF/JTqGABBvXuxcnzF7h97x7ubq5MemsUO/5YzMtdO3Pi7DmhpDhRp1pVDhw7zodTpvLzwsWM/XQyEcJikd5yLkzpTcBDuIO6CDfFm9NAuhak1aGQWFxa9Iet82HVVDixFU7thMpNM0OQFonLR6BiYzQ3RWapUDTcoP/H8KGwMDTsibbHwc4JilWB45th3gew9idYNuXxmtnh/JmOQS7iIcLaYm1jj6m5uda2uYUVpmZmBDy4rQUToRhb2zpoMr1QCmzsHAgN9BO6W7yWJyO5PyE6Kox8+QvLUy04ungQEx2uKSElK9Tj1uUT7F4/R3N5uAs31GXhEnnkd4sq9dpr5bNDpBSH7HAV1BgUgVxAYOqsudpTFNIa0GngYE6JxX6OsAZM+XUmPl5eQqlI4IF/qp9czNf3nh9FC3mLVPrXwsIcc3MzQsJCjZmFvQpiamoifMDpd25S6Hv/PqcvXqJhrZqYi1/gf6xdT8miRfj83bFs33eAvYfFoigL5oUgF//iVUEvlAkzC+g7EQZ8AiWFCyMuGgQfarbNTCLoPmyZA4s+go+7oW2gvCFM67+OgYOrM5f1vw0XD0KlxiAWTBZ/CmVrQ9fRIPc8SHdH5hq56ywlhQS5J8HEFJ34l3FySYnxxMVGotPr0Uv+GYTJyYnC4pBizEkULooUYUkwNTUoH0aBSKSkJFOpThtqN+9N8XK1ad51GDHCXSL3XDTpNESzbKxd8AXzvh3O7asnRY2s++qzrmvVsyKgCOQmAtM+ncTOpb/x+/RpWqhYprS212HEwFeoV7M6Lo4OXLx2TZuytCqcu3KFmlUqa+dpkaO9PeVLlWLFRnFHm5oZFhFBQQ8PSgmlIDVLO0hFoZaoX9DTQzuXbdrZ2uLq7Cx+gesJCklXPrQCuT2SCkP+4oZZyk2SJatDvkKw63d4ZwGkmtgNBUTsXhjeW4JmUXhvMUjXh08FcZwMNR+7u/1uCDTsAU4G1oT4i/ZcwFrcYYsFj8i/YC26y9FfHZiZWz51CuYW1ljITaRPkZqIa6LT6Y0SU3kuFAxjhjGh09qX7RQqXpGSFepiaW3LuWPbqNmku2jfCrk3wlRY7irVasW8KcOJDAs21n7RifQZveieVX+KgCKQqwjIu35LCwttU6Q86sUvSFPhszUTQa/T8fHYt1m2YRObdu3hix9/pk3jRlSvKBYqQWHA6LFIS4VIMrBXT0LDwvlu1hy27d3PL8L18Nm4seh04re3KJAk7th+W7UGOxsb6lWvJnIMX/nExpkLF/lu5mzyubrQuI64IzaIcme87Bs0N8TFQ7D0K2gk3AnCBy8c7mhuhU2z4bdPocNQKFE1ncFCYWEY2wQBFLFaiSAsFGJBQ94Fi2umHYXZHfkRd9NsnAGdh0P+YjLHEDqK81M7hFIiFA8boTyUrmXIz6WxXlgS5P6F8JAAYmOitFlGhAVqT0Z4epfEs1ApkacnOEBYcURK7lF4JFwYHgWLCcSCr8iTXwdnd9w8fbh6TlwzmSHCzUsnRF5hnNwKiDPDNzkpiStn9uPqUQhZRz7qKdsrWKQsleq0FRaOKHyvCeuQofgLj/UvvEfVoSKgCOQJAnIjY5Vy5YxzlZsmO7VozvGzZ6leqSITR4nFJ1Xatmlj2jcz+OC9C3gyZ8qXJCUmceTUafp37yqUgPSFKSkxEbkR87U+vVJrGw5dWrdEthMdG8svX3yGV35PgyC3xraOcEG4D+QmxWYvG/YeyLnGRMDRjSD1rF7vQdUWoJ1g+JStC40zs9MEDq5QtxM4uGmnWhQXY7Ba1GynnRqj9q9DtZYgrQ3SUmEU5I5EQnycmFoycgFPm1G+AkWxFJYcP99LJCcncfvqKbGwe2Pr4CKUA0uKla2J79XT2p6GezcvEB8bjVfR8lr10wc3Ip+KkCf1Wr3EpVN7CAt+SFjQQy6f3kvDtgMgN7lAAAAQAElEQVSkyBj8/W4QIpSQ4uXrYGJqhk5vgrWNnfYOB/mOCanIyH6NFV5wQikOLxi46k4RyCsE+nfvQp1qVYzTtTA3p1XjhkwcOZyubVpplok0Yfd2bejVMd08XqSQN2NeH8SEkW/SqHYtTNLugEUFc9HOgB7dMtUX2VhbWdGjfTveHz5M26Ap83J1aP0a9JsELcSi4+yZPlX59MRLH0CrgcJKUBT0JukymarSDNoMlqnMQdZr+hI4uafnS2uCVBDScwwpYZ6ncW/oOQ58DIujQZDz46vnDrJg6kjkC5zkuxSunN2vTUre+ddo3JXThzYx+8vXkQt49UZdsRILuqlY3KvW76ApA/OmDNPe91CraU/chMVAVj6yc5mmLMh0CeGGkBsdV875mDULJlOyUn3KVRfXRApFkO952LN+LmWqNsZOKCUiC3PhJqnWoBPXxNiW/jqBRu1eJb9m5ZDSFx+U4vDimaseFQFFQBFIJ6BS2YqAtBwMHj+byfNPMfKzpdpGRTlAnU5H4ZJV6D7oYwa8PY12L71DQZ/S6HSGZVS6Fdr2HUv/t36k26CPKFmxHvJxSll34Lu/0rrXaJkUSrApdVr05uWR39HnzW+o3+plzWKhCUVkIdxNsr58okKcal+dcCGVqFCPl0Z+yxsfLKBp5zdEHQtNlhWRYcZZ0bPqUxFQBBQBRUARyGYEpBtAboRMC/I8bYg6nQ7pOpAyExNTQEfGj8wzM7fQyuh06TJTU3NMtPKG0jqdHlMzCxHMkUoBj31k+cey0Ol0yHzZvl4oEo/LX+T5UxUHvd4ECwsLFbIBAyw8UEEx+Ns/A6YOqM9/IqAqKwKKwF8QeKricC8wjo1Hg1TIBgxWHdWhgmLwd38G1p7Vs/GGqQpZzODlhHAGJ6rwrBj8xTqmxC+YwFMVBw8nUxqVt1EhGzBoX/4hKigGf/dnoG2pEFr4JOaekEPn8ruZHXNNVXhWDF7wuqi6+wsCT1Uc9MI1YyIiFXRkNQNTfQoqKAZ/92fARPyPNlVB/J8hS0MCOlR4dgxQn2xFQJ+tRqMGowgoAtmZgBqbIqAIKAIoxUH9ECgCioAioAgoAorA3yagFIe/jUoVVASyGQE1HEVAEVAEsoCAUhyyALrqUhFQBBQBRUARyKkElOKQU6+cGnd2I6DGowgoAopAniCgFIc8cZnVJBUBRUARUAQUgWdDQCkOz4ajaiW7EVDjUQQUAUVAEXguBJTi8FywqkYVAUXgrwgkJCSw+9BhBr/zHh1fffKvNSYlJXPx6jU+/3E6TXv1pd/It/6qSSX/fwQe+cL4VtDZyRDmf2AoHR8DG2fCBx3g875wdJMhX8WKwJ8QUIrDn4BR2c+UgGpMEXiCQFJyMtExsVy8dp24+Pgn5EdPn2HKjFnY2doy44vJLPj+2yfKqIx/QODuFchXSCgNIwyhSR9D5b3L4fB6GC2Uhz7vw/YFcO+qQabif0UgKiKEs0e2sHv9HCLDgzO1EREWyLmj2ziwZRGBD+9kkuWUE6U45JQrpcapCOQyApYWFrRp0ojiPoWfmNldvwdM+OobmtWry6A+vShaWCx4T5RSGf+IwLpfwNwSGvaAfh+BVymICoM9y6DNa+DkLvJKgmcR2DL3HzWtCqcTuHvzPAu+G4nvtTPYO7phZmZhFN64dIwVsyZx79YFrGwdsbSyMcpyUkIpDjnpaj2rsap2FIFsTuC7mbN5FBTIjgMH8Kldn+ETPiQsIiKbjzobD+/KMTi7G3YshrFN4cAqw2CDH0B4IJSuZTjXm0CxyrBXKBOGHBX/AwL3b19k6a8TaNjuFdr0fovKddthkaoc+N2+xO51s6nWoBMtu71J5TptsXVw+QetZ5+iSnHIPtdCjUQRUAQEgdi4OFZt3kL75s35/N1xrJs7i92Hj/Du5C9JTEwUJdT3HxMoWR1+uyeUhrkg09+8CtdPGSwO8bFg75LepE4nlImg9HOV+lsEpAti6/IfKVO5obA05MP/3nVio6Wym0JCXCw7Vs/AzaMQdg6uPLh7LVX2t5rOdoWU4pD1l0SNQBFQBDIQuHPfT1MQurdtg5uLM1UrlGfkqwPYe+SosEKoBS0Dqn+WtLSGWu1h5C9QtCKc2AZ6U9A9ZRmQLg3U558QeCiUgYAHvtg5unL26FbWzJ/MzjUziImOJOjRHeGeOI+VjYMmWzH7I6FI/IrcC/FP+sguZZ/yE5NdhqbGoQgoAnmRgK2NNTqxmIWGC/97KoByJUuSkgLySYvULHX4twRcC0CzfmAilAanfIjVDOTGybT2Ht6GUjXTztTxbxBITk7i4Z2rFChUinLVm9G650jqt+7HpVN7eHDnClfOHsQ5nxe1m/Wkda/RtH/pHc4f287tKyf/RuvZr4hSHB6/JupcEVAEspSAZ758VCxTWrgrthrHERgSQtFCXhT09DDmqcR/IBDyEKo2B9eCULAknNxuaEw+mnn5KKQ9cWHIVfFfERBabVxsNDb2TljbOqITiq93sQo4unoS/OguMVHh2kZIuafB1NSMAoVLk69AEUKDxHX4q7azoVwpDtnwoqghKQJ5gUBSUhKXr9/APzCQB/7+nLt8RXssU6fT8eX773Lq3HkWrljF+u07+X72XD4dOwadTpcX0Dz7Oe75A21j5NXjsH8VWFiDT3kEUOj9HuxbDkc3wraFYO8MDbujPn+fgE6vx15YbyLCgkiQe0ZEVb2w6JiZWWJj54R7waJER4YRKeRChE78k/mW1rbyNMeF7K445DigasCKgCLw9wjEJyRw8vx5KpctS7tmTdm0azeRUdFa5TLFi/H9xx9y189PKBSX+faD96lYtrQmU9G/ICAtC/euwJld4JofuoxKb8TDB4b/BL4X0fxBfScImU4E9f27BHSahaE8scKycPvKKYExGfmEhZWNHfkLlaZYmZro9CZcO39IuNsSNZl0bxQsUo6c+FGKQ068amrMikAuIGBlaUmfTh35bNwYLbzzxhBcnByNM6tSvhzjhw/jvTeHUr50KWO+SvwLAmXrQv+PoftYnrp/obBYwLqPgXZDwKXAv+hAVXHz9KF2814c2bWc2V++zumDG6hSr4P2FIWtsOI0bDuAM4c3M+er1zkqylSu01Z7yoIc+PlnikMOnKAasiKgCCgCioAi8LwJmJiaUbZaU14e+R39Rn9P14EfUbRMDfQmJsLaoKdUpQb0HTGF/m9No8vASZSsWF/ITJ/3sJ5L+0pxeC5YVaOKgCKgCCgCeY2AdFmYmVtgbmGFqZk5Ol26y0en02lvkXya7EVyehZ9KcXhWVBUbSgC2YRAaKxwYz/Sc0aFLGVQLymGxskqPCsG2eS/lxpGKgGlOKSCUIfsQeD8pRv0fOU92vUYRec+Y7hz1/C40s69x7U8mT9v8ToSEhJJSUlh687DxnwpG//RT0RFx2SPyWTBKMxNwMkyRYUsZvBIZ4K/Cs+MQRb8V3pBXebMbpTikDOvW64ddekSPrw1rC+Xr95m9YbdjHjna22uDepUZsGvH1OudFH6dG8lTH6mfDV1AR16jqZOjQr8Me9z5k7/kPlL1tNe5N2956/Vy2uRtRl426eokMUMrurNuahT4VkxyGv/j7P7fJXikN2vUB4bn4mJHktLC159qQNuLo7sOXCSab/+gfwTzLY2VngV9MDc3IzFSzfz7qRp1K1Vidf6d8bG2gpXUf6Lj4az98Apvv1pcR4jp6arCCgC/5WAqv/3COj/XjFVShF4sQRqVS/PtG/ewcLCjCnTFrFj99FMA5j/2zr0ej3lyxYjn5uTJtPpdPh459cUiLmL1hIWHqnlq0gRUAQUAUXg2RFQisOzY6laesYEundqxrujX8H37gPeGv8t/gHBWg8RkdEEBoUi9ATs7Wy0vLTIzMwUK2GxkEpDSGg46qMIKAI5lYAad3YloBSH7Hpl1Lg0i8JLPVvTo0tzrlzz1TZBSizSZWEqFASZ/n/B28vz/4mVTBFQBBQBReBfEFCKw7+Apqq8OAJy38InE95Aui4uXr6pdazT6Wjfsj7JySncvH2f+IRELT8lBQICQwgKDqV9q/roRTlNoCJFQBH4zwRUA4pAGgGlOKSRUMdsRSA6JtY4nhJFvfn8w2E42Nsa8wb260idmhXZf+g0ew+c1PLj4+P5Zc4K3FydGD2sr5anIkVAEVAEFIFnS0ApDs+Wp2rtPxKQ73F4b9KPfDj5Vz75apaxtUb1q7FkzmTjeX5PN+3xywF922mPbMpHMDv1GcOjgBB+F+Xq1KxgLKsSikDuI6BmpAhkHQGlOGQde9XzUwjI9zgsm/8FezbNYOyIlzOVaN64JoMHdDbmFS/qxYR3XuPorvlCqfiMZQu+YK+oV71qWSwszI3lVOLFEIiKjuajb7+nSJ0GVG3dnoUrVj214/NXrlKyQdOnymTmsTNnadKjDwWr1eLlEaO5duu2zCZOWJQWLF9J+aYt6fLa6/j5+2v5aZHvvft8PPUHwiPyyNM0YxpD74LpoV9R2DAjDQfMGZ8ue79Nen7GVLyw7C2bAn28YEhF2DoPYqMMJY5thtH1YEI7eORryEuLpV/wpxEQFpCWo455iIBSHPLQxc4JU5XvcbCxscLWxlp7n8PjY5ZPTWTMMzUx0crK8jLId0BklKv0iyOwff8BmtSrw+ktG3h/xDA+mTqNFRs3ZRpAUEgo3/w644lFP62QXPxv373LHz9P4+iGNTja2zPhq2+IjIriYUAAqzZvZd533+CRz43xX36TVk17W+jcpcvo1LIF9nbpLi1jgeeceOHN3z4PUWFQsER6sHOCIqmWtshQuHAwXdZ2yJNDTE6GbfNFuQMw7TB8ugFOboerJwxl1/8iFI/xUE4oD98OMuTJOD4G5r4PjXuBg5vMUSGPEVCKQx674Gq6isDzIlC4YEHq16guFm47urRuRZ1qVdh39Jixu4TERPYdOYqp3gQL86dbhKysLGlSty5uLi7kd3enZ4f2msUhJjaW2Ng4QsPCsLO1oWKZ0py7dBn5SUhI4Kf5CyhdrBgVSpeSWbk/BN6H9xbD1zsNYeIyKFxehLKGuf/xpUGJGDEdvtgKdToa8jPGCXHw4KZQLoqDc35wFEqAZxEIDzSU8heWHjtnKCDkV1KvY1Ii7F4K7oWhTB1DuVwWJybE43/vOueP7yDwgWCQYX5xsdFcPr2XPevncuPCERKkxSZVLuv5Xj3Fvk0LOH9sO7ExkamSJw/hIY84vmeVsJauIDhAXMvUIlERIZw8sJ69G+fx4M6V1FzDISkxgZuXjhMZFmzIyMJYn4V9q64VAUUgFxGQi3nG6RT09KBQgQLGrLt+fly9dYuGtWthampqzM+YyCcUBhcnR2OWtVAkyhQvppWX7id7OzthfYjm0rXrlCpWVCsnrRC21jZ0bdNKO4c8cChbB7xLp0/04Gqo0BCs7CDgLuz8DQ6uge8Gw16x0EvXQnppQ8rMAkrWgPP74dBa8LsB+Mzp4AAAEABJREFU1vZCIahtkLsWhChhuZAKRBHhxpC5F4R1IlYsiC1fkWe5MvheO82mP6ayftFXPLh71TjHZKE0Hdu9kuvnD+Pi4c2lU3u4cHwnKcJyI/9uzs3LJzi2dzX2QgGTiodULuRib2wgNREfG8OymR8QExVBSkoS6xZ+iVRIkkT7R3etwPfKKcwtbNi28meC/MW1TK3n53sZ32un0OmzftnO+hGkQlEHRUARyF0Ejpw6Q5smTYyT+nnBInq0a4urs5Mx768SN+/coWqFCthYW+Ph5ibaa8zLI94SCshtxg8fxpUbN7l97x4vd+2kKRd/1V6ukUsFIeNkln8LVZsbclyEsjbrArw+BYR1h+mjQbo2DNL0WC5AdTtBzXYwdQhIK0WT3sL64GEo0/o1WPARHN9iaCvEH26egRptwNTMUCYXxj4lq9Bl4IdES1dQhvn537/BlbP7qNaoM+WqNaVMlcZcPLmL8NAAzfJwbPcKfEpWpUKtVtRu3htpMfC9JnhlaEMm929ZSLywXNRt1ZcajbphaW3LjtW/EhsdoSkGXsXKUbFWC2JF/49En7JOfFwM1y8epVi52tjYpSvWUpYVQZ8Vnao+FQFFIPcSiBeug7l/LGNg7x6ULOpDsrgjW7FxMw1q1qCwV8G/PfGHjwJ4FBRMhxZNMTczw9LCgiEv9ebCrq1sXDAHadHYuncfDWvVxELIPpzyHfW79KDX0OHcf/Dwb/eT4wue2wfVW4FrAcNUpEJgZQv1u8G7iwwWhA2/GmSPx3IjpEch6DUO7l6GzXMgOtJQqm4n+OGQwdUhLQ4nt0E+UdZNXMMVQlF5pxl83BVunDaUzyWx3sQUc3PLJ2YT+PCOyLfGzt5FkznlK6BZDaTbIS4misCHvnh6l0Cn02FuaYWTa378fC8Jq0KKVl5GyUlJnD2ylcp126EXSp20HpSr2pST+9ciZXq9KUnCpZeclKy9p0aOJTk5idMHN2BtY49XkXJkh48+OwxCjUERUARyB4Ek8Ytx96HD2iLfq0N7bVLyqYhpc+Zz6+49fpgzj3XbdhAv/MjThQXi9IWLWpnHo7i4ONaKcjUqVaRoIbFYPV5AnG/dsw/p2qhcrizHz55j2bqN/Pz5p7g4OSHbFkVy/1eYtzmxFRp0f/pcpTLR7CUQd6xPFEhKgN1/gPC302UUvPEdXD2OtkHy8cJSaZBKRrUWIBZDFn8Kg76CsnVh6/zHS+e6c6n8hgT6YW1rj6m5hTY/CwtrTIVCG/DgtlAabmNiYiLkDppMr9NrloGQAD8S5V4SLRciwgKFXhZKvvyFU3PA0dVDKCDhmsWhRIW63L5yUtvj4OSWn3wFiggrxwGky6Rq/afsUzG28mITSnF4sbxVb4pAFhN4ft3LX65nL10mOjqG9s2bkijunI6ePkNYRATjRwylWOHCWvB0z4f8xVq0kDfyqYnHRxQrlIbfVq+lQumSVC5bhoDgYJZv2JipmNwYefL8eVo1boi0Rty6c1dYHcwp4u2l7auQj3xmqpBbT4L8IDEOpEXgz+YoFjFqtn1SGi/q3RYuDXMrIdNBqZpQpbnB8iByjN/719H2S0gLhiwrN2ZKodw0KRUTuadCnufmkJJCglC+pAVAhy7TTJMS45EbIXXC0iOtCBmFycmJmSwOUolIERY4U1PzjMW0dEpKMpXrtKVGk24ULlmZ5l2HESusP7cun6BZ59c1l8j6xV+z8PvRwqWRtVYepThol0xFioAi8F8J7D92nFffHsdrY9+laN1GFKhWm89++BF3V1daNKhPmyaNtFCtQnnk5siWDRtorovrt30p3agZh46fJCQsjEnfTuWdz76g4yuDyF+1FmUbtyA0LNw4PKlIfCDcEm8NGoiDnZ2WL5/giIiKYs/hoxw8cZKGtWtq+bk+8hULv3dZSL0L1uZ7UbgXTu1E2LxBPg1x6xzUaq+JkI9ajhduDf9bhjrOHrBzMfjfhvAgg9uhWCVDWRkLPztrpsHLH0KqiZ6iFSBFCE/vEO0LC0XBkuIkl391YPYU94WctZmwPFhY2sjkE8HEzBydVNxSJaZmFkgFI/U0w0EnLBmWWFjZaPskSldupLkmzh/bRs3GXbGwtGX/pgXoRFtlqzZh/rcjiAzPuqcr9BlGrpKKgCLwggnklu78AwI0JcHG2gr5tENxn8LIUK1CBfILC0PGecrFvmKGxyalxcBHWArMzEzZtGsPh0+epmTRIhQv4qO1UUIcmzesb2xi0849fDzmLe2RzbRMHy8vpk76gJ/mzadMiWIM7SfM82nC3HoUvm+E6ZsiYiEXC4pxmgmx8Ntn8EEHg+tBuiFMUzczysXPzQtMzEUQefL9Dk0Fq69fge+GoFkmKjQyNsWVo8IN0g2cPdPz5ObLycICtH0RiLttOg1Pl+XSlLQkuHsVJzwkgFjpshHzlG6HOGGFkPsaPAvJx4D1hAjXhBCRJFxIAQ988ShQTCgcFjJLCw7O7rh6FOLa+cPauYxuXj4p8rxxdisgT7WQLK7tlTMHcMnnhaOLJ9JS4e93C6+i5ahSrz0x0eH4Xs06q4NSHLTLpCJFQBH4LwTc3dzYsngB+1ctyxQmjhqOmfADZ2y7TrWqbPltgTHLu0B+Ni6YS7WKFejTqQO7ly3J1IZsM+Njnf26daZ8qSfvcts1a8L6+XOYPG6stsfC2EFuTehNoNnLUKxy5hlWbAxfC2vAZ2Jxb/8G2Bj87lqhwsI6MXomxo2U8qVRbQfDN7vgo1VQtzNYWGlFtahKcyiXrrRpeTIqXUsoJsth6Pfg7CFzclVISIgjRbgU5IbFtIm5Fygq0Njgd/syyWJh9712GjehBNg5uGrKQdEyNZB58n0O929dIk4oGF5Fy2vVzx7ezM1Lx7R0vVYvcfHUHsKC/bVw+fReGrYVipsmNUSP7t8kWLiAipevg4lQ+nR6E6ys7YSVIUh7x4RUZGwdnA2FsyBWikMWQFddZlcCalyKgCKQ1wlcO3+IRd+/hXw8Uj4mefXcAQ2Jg3M+ajTqypnDm5j7zTAe3LlK9YadsbKxE643c6rW70Bo0AMWfDeCo7uWUbNJd9w8C2t1D23/g4snd2vpkhXrU6l2a1bN+5S1Cz6nhFAOytcQCpomhfjYGPZsnEfpKo2xc3TVcs2Fpahag45cPXuIpTMm0rDNAPJrVg5N/MIjpTi8cOSqQ0VAEVAEFIHsSqBI6eq8OvZnPp1znGGTFlO0TE1tqHJ/gU+pqnR59QNeGjGFtn3GUMCnLLpUN5G0PrTp/TZ9hayzKFOqUgPkZkpZ+dV3fqZVj5EyiYmJKXVb9qXPsC/p+cbn1G/TT1gsLDWZjMwtLOnyykQ8ChaVp1rQ6fWUrFiPvsO/ZvD42TTr8kamOlqhFxjlOsUhJSWFhw8fcvr06UwhMNDwGtWkpCTu3LljlCUkJLxA3Kqrf0JAlVUEFAFF4EUTkAu73KSYFuR52hh0Op22YMvNkKbaxkddmgiETOZJmdxIqdOly+S5lJH6ka4GcwtrzIVbSKZTsw0HUU+Wh/T6iI9Op0/t25o0hYQs+uRYxWHz5s1cvPjkM+ARERF88sknNGzY0Bh69erFiRMnkErFunXr+Pjjj1mwYAEjR45k5syZhIeHZxH+v+725G0LVFAM/u7PwOl7Zpx9pFchixnUSYqhYbIKz4rBX/+mVCVeJIEcqzgsWbKEY8cMm00yAvP390daFX7//XfSwty5c6lXrx7S6vDuu+9ia2vLF198wZgxY7SjVCYytpGd0o7WyWSPoMaRE66Dg1UyDhaoYEGWMgjWmRCICs+KQXb6nazGAjlWcfizi7d161ZWrFjBoEGD2L59O61bt6Z27drY2NiwZs0agoKC8PT0xNzcHA8PD8LCwtixYwchISF/1mSW5hfJl4AKisHf/RnwcUmikEOyClnM4LLenAsqPDMGWfpLWHX+BIFcpThER0czdepU4uPjkS6LWbNmUaJECaRbQ+5lkIqEJKDT6eTBGO7evatZI4wZOSChhqgIKAKKgCKgCGQFgRyjOMj9DL/88gs//fSTFq5fv86uXbu0dFre5cuX6d69O8OGDaNNmzbIt9NJ14Xc83DlyhUePHjwVMZRUVHId+M/VagyFQFFQBFQBBQBRcBIIMcoDnZ2dvj4+FCkSBEtyH0Krq6uWjotr1ixYkyePFkL0vLw22+/4eLiglQozp07h3yXvnHmzzShGlMEFAFFQBFQBPIGgRyjOHh5edGyZUttz4LctyD3J5QvX954LvPs7e2NV83d3V0r/8cff2h/bEe6MWQbxgIZElIpsbRMf442g0glFQFFQBFQBBQBRSADgRyjOGQY858m5d6Gs2fPIt0TaYUKFChA586dKVWqFO3atUM+kimfukiT63Q6zZKRL1++tCx1VAQUAUVAEVAEFIE/IZCrFAfpjmjUqBFvvPEG58+f15QE+Qhm3bp1KVeunGadKFOmDLdv3yYyMhK5T8LZ2VnLz2it+BNWKlsRUAQUAUVAEcjzBF6A4vB8GI8aNYomTZpkarxgwYKae0I+Xjl48GB69+7Nhg0bNEuDg4MDTk5OfPXVV4SGhvLSSy/x5ZdfMmXKFJo3b56pHXWiCCgCioAioAgoAk8nkGMVh8qVK/P4ngW5r2HevHncu3ePLVu2aG+FHD16tPbehrTp16xZE1lm4cKF7Nu3j06dOmFtbZ0mVkdFQBF4QQSSkpO5ePUaH337PX3eHJWp17DwcPoOH4VH5Rq0HzCQ42fOZpKrk/9IIDIEJveGvt7wWS/wffItvP+xB1U9NxF4bC45VnF4bB7GUwsLC+Rmx7Tw+KZHnU6HlZWVsYxOpzPWVQlFQBF4cQRiYmLZtm8/f6xbT3BoqLHjuPh4Zv++lImjRnBh51aqVaxIl0Gvc+9PHqc2VlSJv0cgIR4mtAPPIjDrAtTtDJ/2gPjYv1dflcrzBHKd4pDnr6gCoAjkEAK2NtaMHPgKNStXyjTi8IhIenXsQKmiRXBxcmRov5eEXMf+o8fFUX3/M4FQf7h7GUrXAis7qNQYwoMhKl15+8995MEG5OP+fr5XOLB1Mfs2LeD21VMkZFDG4uNiuHJmvya7cekYSYn/+g8sZjldpThk+SVQA1AEFIGMBNxcnMnvnv6Uk52tDXq9Dh9vr4zFVPrfEnAUbGt3hI2z4NY5OLgaBnwMTh7/tkVVTxAIDrjHnetnsHd0IzY6nE1/TOXiyd2kCJdccnIS549t5/Lpvdg75eP0wQ2cPbJF1MqZX6U45MzrpkatCOQZAucuXaFahQpUr1ghz8z5uU7UzAJG/gwpKfBZT7Cyh5avPNcuc3XjYnLJSUlECatNmaqNKV+jOY07DKJIySqcP7qNmOgI4mKjObJruZC1oGKtltRt0Zeju1cS5H9H1M55X6U45LxrpkasCOQZAiFhYWzZu5fPxo0RVgf16+qZXfjwQKjcBEoJd8XqH+D6qWfWdF5sSG9iQqMt+tgAABAASURBVKHilbAX1gbQYSqUMw+vEiQlJyI0NM0SIRW1fPl9xLkOJ7f8WNs64n/vhjjPeV/1PzHnXTM1YkUgTxCIjYtj39FjNK1bh+I+hfPEnF/IJIUZnW8HQRFhwXnjO6jfFb4WFofA+y+k++fcSbZoXromIoUFwkdYHSysbHl49xqW4mhl66CNT683wcTUjLAQf+08p0X6nDZgNV5FQBHIGwQOnzyFrbU1lcqW0awNf6xdT0RkZN6Y/POcZfADuHwEnNzBRixk7d8Ac+G+8L3wPHvNU21HhocQ/OgeZao0wcTElJioCPQmJpiIdBqIlOQkkpOkRSItJ+cc9TlnqGqkioAikNsIyEcv4xMSCAuPyDS1eUuX023wUHoNHUGROg3xrFKTP9auw9bGJlM5dfIvCMhNkFJhWP8rRIXBhYMQGQolq/+Lxv6iSh4V790wl1pNe+CSr6BGQFobtESGyMTETFgdzDPk5JykUhxyzrVSI1UEchWBcGE9kC9/unXnLvJ1Kp0HDuHeg4ds33+AhStWUaKID8UKF8LHq6AWenZsL8qp96785x8CqTR8sQ1xCwwTO8CR9fD5ZrB1+s9N5/UG5OOXx3avpGTFerjl99E2RsrHMIuUrkZURCghgX4aIlkuMiwQV49C2nlOi5TikNOumBqvIpBLCNjb2jL53bEcXLNCC6tm/0pBTw+a1avLjj8Wa3lpMnns2b5dLpl5lk0jveP8RUHub/h2jzhOhfzF0mUq9a8IxESFc2DLb1w7fwg/38vsEVaH9b99Q8CD23h4FRPWBy/uXD+LVCQun9mPpY0dnl7F/1VfWV1JKQ5ZfQVU/4qAIqAIKAI5mkBiYjx71s9h+6qfOb53NWvmT9bC/VsXsbFzwszcippNu3P17AEWTB2F77XTNGz3Kjb2zuTEj1IccuJVU2NWBBSBnE9AzSDXEDA1NaNJpyG8P20Hn809YQxDP1iAg7O75mIrVLwiHfuPp+/wb2jXZwxePmVz7PyV4pBjL50auCKgCCgCikD2IKDD3MIKKxv7TMHc0lpTGuQYdTq9oYy1nbBAWILc2EPO/Ohz5rDVqHMTgdi4eH5btpmpPy/Rwq9zVhAQGEJKSgonTl/W8qRsx+6jxrQ8zxhu3LqnIQkLi2T56h1auemzlhEYFMrdew81WV6IQuPgXIBehX/O4Jkyq50US4PkGBWeEYO88H83J81RKQ456Wrl0rHq9XosLMwZ/e4U3v3gBy5euYW5uZk2Wwd7G/YeOElCfALOzg7cuHlPK7dt5xEKe3vi6uzIyrU7OXfxOomJSfw8eznbdh+hoKcbbq5O9BzwLlt2HtbayguRmfgfbWcOKmQtg1BxdxmMCSo8GwZ54f9uTpqj+DWTk4arxpobCZibmdK5XWMmjH0N+Uz/bV8/YmLihCVPh6mpKd06NmXQgC5UKl+CyhVLagiKFC5Ap7aN6NujFcMG9cDNxUmru3TVNpo0qE63Ts3o2qEJHUWZsPBIrU5eiGyEvlXYIZkcH3L4HC7pzTmvwjNjkBf+7+akOSrFISddrVw8Vr1ex8R3BlKmVBHWbtrLqbNXSE5O5sy5q/gUKoCjg+0Ts4+IjObbHxfTs0tz6taqiE6UiIqO4fMpc9i07SBBwWG0bl6XerUqCYn6KgKKgCKgCDwLAkpxeBYUVRvPhICpsDyMHtYXB3tbJovF//LV2/gHBFO7Rvkn2pcKhSxzSZRJE5qbmzNqaF8ChcLQptsIBo+czLkL16hUwWClSCunjv+YgKqgCCgCioCRgFIcjChUIqsJ6HU6WjatTZ2aFdl/6DQ/zlxGl/aNnzosOzsbrC0tM8lMTPT0692G3+dMpma1cqxev4vXR3/OkmWbSUjMme+EzzRBdaIIKAKKQDYgoBSHbHAR1BDSCRTwdKNB3craZsl79/1xdXFMF2ZIFSlcgLeHv0TFcsWNuXHxCfy+fCv1aldix7qfObB1jvZ0xqr1uwkJCTeWy/EJNQFFQBFQBLKQgFIcshC+6vpJAjqdDhO9XtuvwF98rK0tGT6kJ3Lz4+wFa0hISODXuSu5ev0O1laW1KhalonvvIa5mRl60eZfNKfEioAioAgoAn+DgP5vlFFFFIEXQkC+t+HAkTPsP3yGxKQkbt2+z9KV24iMitb637HnGNt3HdHSZ85f5ftfftfCW+O/44F/IDqdHp1Op70T4gcp+3kJJ89cZkDfdjg62Gn1nkOkmlQEFAFFIE8R0Oep2arJZnsCcoGXC/3S+V/w8YTXcc/ngomJiTZuF2cHunduxsrFXzN6WB+8C7proV2renTv1AxLC3Pm/fwhfbq3wqdQfor4FGDC2IG0bVkPU1NDG1pDKlIEFAFFQBH41wSU4vCv0amKz5qATqejbKki2jsd5HsdZGhYrwpWlhZaV5UrlMwkk/K0ULJ4IaFg6Cld0ocSxbzp0KahVrZW9fJaXRW9WAL3Hz5kxAcfUaxeI1Zu2qx1Hh0Ty1fTf6Vk/SaM+vBjwiMitPynRVdv3qLza0Oo3rYjyzds0ixQstz9Bw8ZMm483jXqMnXmHJllDNJVtWD5Sjbv3qO9ddQoyAuJFd/C4k8zz3TbAni9Mnz7GkQEZZZlPHt0B74eIMpWgo0zIdZg4SPIz1D3dZG/c3HGGob0nmVwbJMhreI8RUApDnnqcqvJKgLPl4B8gde6bTvoPPB1ShTxYdfSJXRp3UrrdMHyFdwTCsXh9asoWrgQwyd+RExsrCbLGEmlo9ew4Qzr349Vs37RFIdjp4X7KjGRFUIJsbez48SmtSxatZpNu3Ybq168dh0/f3/qVa+muayMgtycSEmG8wdg2RSIj0mf6f6VcHQjfC4W9irN4cv+QiF4yovQwgLh17ehTif4RrC8d0XU22BoZ98KsHOBd4XSMO1NuH7SkC/jiwfhzkWo1ESeqZDHCCjFIY9d8Bc8XdVdHiKQlJzMzgOHWLJmLdM+ncSbA/rhld9TIxASGsavi36jZ/u2ODk48FrvnmKRf8jeI0c1ecZo8ao1lC9Zkmb161LQ05M2TRrxxU8/a4/UPngUoNV3FG0U8PDA9564KxaV/QMCWbV5C13btMLWxkbk5JFvwF04twe8MryrJDocZo+HFkJZcPKAup0MSsPh9U9CObUDLKyhTkewdYSqLUEqHSkp8PAm2DlB4dS/4vjglqG+33XY/Qe0GwJmBmugQZA74sSEeB7dv8HFk7sJfCisMRmmFS+sMVfPHmD/5oXcvHSchPh0xTcxMZ47189wcOtvXDyxi9iYpyhqqW2FhwRwcv86TuxdTUig4WdYiqIjQzlzaBMHtizi4d1rMssYkpISuX3lJJHhwca8rEros6pj1a8ioAjkLgLS9TB/2XJt4Z63dDmvvv0Ouw4eIlFYCk5fvERcfDylihXTJm1laUnFMqU5KiwJWkZqJC0QZ0XZBjVrpuYgypXh9IVLPAoKws3ZSXNxhEdE4h8YSH73fMTGxfHRt1Np2bABxX18jPVyfUJaGKS1oUJDcHRLn+59seCEC0tCsSqGPLm4V2kGUkkw5BjixASQFgavUiBfu4r45C8KQQ8gQCyYrl4QHQZSURAi3ApCuHB57FoCnUaAVEpkfi4Ld66fZdPS71m38Ase3LlsnF1yUhLH9qxGKg72TvmEcrBTUy5ShMIsN3bfunySY7tXYWlth5/vZfZtXECSZGxswZCIj4thxexJRAhrT3xcLOsWfUWcUEikYnB090puXDyGTm/CtpU/E/TI8Mf7ZE3Z5s0rJ9Dp0i6WzM2aoBSHrOGeNb2qXhWB50ggNDyck+cuULtqFT59520KFSzI2E8mi7zz3PT1xdTEFGdHB+MILC0seBQoFiJjjliXIiMJi4jA3c3VmCv3uCSJX9rSatGpZQthqfCnYvPWtGxQn0a1a7JwxSoa1alNrSrCn2+slQcSdy6huSdKVBOTzbCYSCuEyMExn4wNwVpwD7xvSKfFCbECuOAvrQqk1jczF1JhbZDKQ70u4C8UiA+FxaLXOChaCQ6uhmKCs1QwRMnc+C1UvCKd+o8nStz9k+Hj73eDy2f2UrVhJyrUbEnpKo24cHwH4UIBkJaHY7tXULhkZSrXbUedFr25f/sivsICkaEJLblfWBNihFWoXquXqdm0OxYWVuxcO4PY6AjNouBdrDyVarchOiJEs3zISlLBuHHhKMXL1sJGu14yN+uCUhyyjr3qWRHIVQROnL1AuVIlaNe0CS5OTgx/pZ9wVeTn4ImTyMdr5dqk06UuUBg+Ot1j57KQMRjKpMU6nZ4ihbxZ8P233Dt+iElvj+LqrdvEC0tG++ZNuSbSPYcOp1aHznz+43TNtZFWN9cd46Lh4iGo0ZYn3QWpTB9jy+PnRiip5Y3nIiHLehSG9xbDzPPQ813wvQjyDrp8A5BKyyShWIyqBxt+FRVyz9fE1AwLS5snJhQk3Bbm5lbYORiUWud8BYmJiiA85JFmMQh4cBtP4TLS6XSYW1rj5Jofv9uXM23UTU5O4uzhLVSu0w4ToUjrhWWhbLWmwmWxFmnR0Ov1yDIpKclaPcN5snBfbBSWDBu8imaPzd76J+iojBdFQPWjCOQqAtZWFki3RKLwxcqJSXdEyWJFiY6JxbtAAWG2TSIsPP1JipCwMM3VIMumBVsbaxzs7QgMFnfCqZnSkiEfp83v7paaYzhIa8XB4ydpWq8usq85fyyjoIcHc7/9hmlz53Pi7DlDwdwYb1sIV48bLADrfxGWAV+4eRYOrwMrW8OMpVvBkBLuBz9wF4pA2rk8SheGnTNEhYozYWUQMWl+eTcveZYeZFvn9kHFxmBtD7OFIuFTDgZ/BTuXQPDD9LK5MCX/4F5wwH2sbe0xM7fQZmhhYY2pmRkBfrcIfHALvYkJ1nYOmkyv0wvLgCMhwsqTmBCn5ckoMjQQuY8hX/50l5qTqycxUWGaxaF4+TrcunKSfZsW4ijy8wnLzrVzBzXrRbUGnWUT2SIoxSFbXAY1CEUg5xMoVrgwMUJJuPfAsIgkJ6dgotfj412QutWqYmVlyYWrV7WJRkVHI/ct1KhUSTtPi6ytrKheoQIZN02eOn8BWc7NxSWtmHbcsHMnhQsW0J7QkBm+9+5RwNOD0kJZkW4R+UinzM+VoXgVqN8Vbd+B3HsgzN2awuAglKuiFdH2H1w5Zpi68KlzchvIfQ6GHENsag4+4g5W7olI1Ru0/Qz5vMHF01AmLV78CRQRZQsY9qhoSkqB4qJ/UVbcReN/O61k7jympJAgOOqFlUCHLtMckxLjkRshpXVALywIGYXJQolOEXXT8hKEEpGSnIyZ5hJKyzUcU4SVQbo5qjXsjFeRsjTvOpQ4ocjduHSMZl2GEhEawIYl37J42ljuXDtjqJRFsVIc0sCroyKgCPwnAvIJimoVK2h7DqJjYth54CC3xWJer3p17O1seWvQayxcuVrbo/DdzDnIJyYa1qqh9Tns/Q8Y/M57Wrpf9y4UEEzHAAAQAElEQVScunCBHfsPClfELdZt38Howa9qsrRo35FjXL/lS5umjTEzNdWyq1Yoz/nLV1i/Yydx8XFUr1RBy8+VUcnqULNdepD7GTyLQOlaYO8Kw6cZXAhyv8MOYZ2wsoNa7Q0o/vgSPuhoSFdtDsLfrlkqQh8JC8YaqN1ByDIsjrt/B6/SUL4hpC2MtUTf0gJx+TDERoG2z0JUy61fHZiaWz51dmZCaTN/imtDFjYRyplOp5dJLZgKhUEnlGntJFOk09q3FNaioqWrI90XNraOnD++nRqNuiDz929eJNwXyZSqWI/5U0dm6dMV6TPKNAl1oggoAorAPyMg3QUjX3sFe1tbmvV6idWbt/Dx26ORCoVsqVOr5pQqWoS+b44iSdylzvrmC0yEeVfKnB0dcXZykkntccuVM35h9pI/GPPxZwzt9zI1Koq7aE0q1jmhlCxdt57xw4dimlpfiuQjnvIpi6mz5jDjy8+F5SH17lgKc3uQVgInj/RZSpdCg24wdQj43YBJq8DE1CC3cYC0pzCkQvHGdwYXx1f9Qb6XQSokhpIQ4g9hgWiPXmZc8AZ8KhQUZ9g0BwYJd0Va22n1ctlRWhI8vIoRHhJArFSUxPwiwoKIi43B07sk+QuVEou6TrgmhEtIyJKEpSHggS/uBYsZXRsiGwdnD1zcvbl24Yg81cIt4ZpwcffC2a2Adi6jZPH/48rZAziJPCfX/Eh3x8P7N/AuWp6qDTpq7g7fq6dl0SwJ2VVxyBIYqlNFQBH4bwTcXV21JyoOrlnB7ClfGd0IslVr4YYYOfAVdi1bwoejR2KX4X0Ln4x9iy/ee0cW04KPtxe//fQ9a+fOQr7HwSSDgiDbmfbpR9hmqC8rOdrbi77HsH3JIjq2FHfSMjOvBLl4dxqeebZN+sJnG+G1L0HcvRqF7V6Ht2YZT3ERC9bomTB5EzTuDeIO2ih0coeObxpPjQmpfAz8QtQR7T/uAjEWyrmJhIR4UoRLITkpyTgJ9/xFBRobHvhe0TYw3rl+BlcPb+wcXDTloGiZ6vgKF4J8D4R8dDJOKBheRctp9c8f267tXZAndVv25dLJPUIJeaSFy6f30bDtACkyBrlvIsj/LiXK18HE1Ayd3gQra1vNyiDfMaHXmWBj72Qs/6ITSnF40cRVf4qAIqAIKALZlsB1YQ1Y8uNY5OORu9bO4tr5Q9pYHVzcqd6wM2cOb2LBdyORyoHcj2BlY4+pcElUrd9Rszgs+uEtjuxcRnXhYnDz9NHqHtiyWHt0U56UrtyQ8jVbsHr+Z6xb+CVFy9SgfI0WUqQF+Z6HvRvnIcvZpVqGzIWbpGq9Dlw7d4hlMz+kfuuXKVC4tFY+K6K/pzhkxchUn4qAIqAIKAKKwAsmIN/F8NLI7/ho5mEGvz8Hn5JVtRHIvQpFSlejY//36THkM9r0eguvIuXQpe5hcPMsLPJGa7KO/cdTpkojTFJdOAPe/pGW3Q0WIZlXv9VLdB/8KV1fm0QDYW0wz2DlMRNKQoeX38PDq7jWr4x0wk1UslIDer3xOa+OnU7zrsOElcNSirIkPF1x0OkwEaZBFUyynAMmVsI3qYLi8Dd/BvRmqI8ioAj8ewLSemBt60BakBsa01qTSoKFpbUmM7OwRKfTpYm0tFz0ZT0LSxtxrjfKLKxsMi308ukMK2s75FsmTVKVi7TCOp1Oc4nodOltS5leKA+yHSth4ZDuC5n3T8KzLKt/WmPh0Slc9UtUIRswOOVXABUUg7/7M3DmoTPnA/QqZDGDWkmx1E+OUeEZMXjaOqXyso7AUxUHHcmYEK9CNmBghy8qKAZ/92fAVh+IjTA6qECWcggX5utQ8RtUBROeBQNy3SdnT+ipioOdlZ7C7hYqZAMGxdwTUEEx+Ls/A0Vdk/BxTFYhixlc1JtzToVnxiBnL7O5b/RPVRxy3zTVjBQBRUARUAQUgacTULn/jIBSHP4ZL1VaEVAEFAFFQBHI0wSU4pCnL7+avCKgCCgC2Y2AGk92J6AUh+x+hdT4FAFFQBFQBBSBbERAKQ7Z6GKooSgCioAikN0IqPEoAo8TUIrD40TUuSKgCCgCioAioAj8KQGlOPwpGiVQBBQBRSC7EVDjUQSynoBSHLL+GqgRKAJ5hkBkVBRb9+6j25BhLFm9NtO8r926Tbv+r+JVvQ6vjRnHDd87RvnVm7do1uslitZtyIDRY7j/8KFRphJ/g8CKb2HJ5PSCkaHwxcvQryh83hfuXEyXPRLcxzaBgWVg2TcQF50uUylFQBBQioOAoL6KgCLwYghIZWDxytXs2LefuPh4Y6cy3W/kWzSpW4er+3ZSoXQpho6fQHxCAnf9/Oj46iC6tmnFyc3rKV2sGO9O/spYNysT2b7vlGS4cACWfp2uACQK7hPagVtB+OU01GoHn/SEhDgIC4RLh2DSKnh7NhzbBGf2ZPtpZvkAU1KIiQonwO8WQf5C8RIDkucP7lwlYwjyv0tSUqKQQnxcDKFBD4kIFcy1nJwTKcUh51wrNVJFIMcTqFimNBNGDMfO1jbTXO76PeDhowCqV6yIlaUlXdu2ISAomPCISG7fu09oWLimVDjY2dGoTi1hjfDNVF+d/AmBgLti4d8NXqXSC4T4w91LULYuWNtB5aYQLhaviBBIToIabcHGAbxFnSIV0uup1J8SuHLuINtWTmfHmhmcPbKVZMHxyM5lfD2mbaawZsFkYqMjSBTK27HdK1n4/Wj2bJj3p+1mV4FSHLLrlVHjUgTyEIH8Hu5UqVCOuUuXcVO4KOYtXc47bwzB1dmJsiWKU8ynMJN/nM6la9c5cvI0H4we8RQ6KisTgfgYOL8fKjYGR7d0kYNI12oPm2bB7fNwSLiM+n0Ezh7g5A5WQqmLiYQjG8BTuDJK10yvq1JPEDh7ZAt7N87Du1gF2vR6i4btXiUpMYG42Ch6DPmMAW//SP+3plGneR98SlbFSihrep0Jrp6FRFspJCUliGPO+irFIWddLzVaRSBXErAWVoavJ4xH7nPoNHAwNStXons7cecrZuvs6MiMryZz8eo1Xho+miKFvGhWv56QqO//JeArrArxwv1QoooophMh9WtuCSN+NlgXPusNljbQ6tVUYephiLA0zH4Pbp4BsQim5qrDYwTuXD/L+sVf07Lbm1Ss2Qp7Jzf0ej0mJmZUqdeemk26UaFmS8pWbUK+/D4ULlEZvYmpCCYU9CmLnb3LYy3mjFOlOOSM66RGqQjkOAL/dMCJiYl0bNkc7wIFGP/l11y9dVNrIjk5maTEJFo3bigsD4X4ecFi7ty/r8lU9CcEhP9c26tQow2YCUXh8WJRYWguiuJCqVj9A9w6l7nEAsF+1K/CInFBWCZmZ5apM42AdEecOrgBZ7cCmnvii9GtmP3VGzy6f1NTDNw8fdDp9FrZGOGeeOR3Ew+v4tp5To8Ms8rps1DjVwQUgRxNICQsjPFffE2DmjWYM+Ur7Th8wiQCgoK4fe8eA8eMY3DfPvzw8SRKFS/KqA8/ITJa7fb/04u+fQFcPwWH18HGmSCflLgplIOjGyHID759DXzKw9DvoW5n+Kq/IT9jg9VaQrOXhFJxNmOuSqcSkJsaH92/QdlqTWncYRCD3puFXq9j8zKhiKWWSTtcO3cQV4/CWNnYp2Xl6KNSHHL05VODVwT+LoHsXc733n3OXb6Ci5MT+Vxd+HD0CBKEBeKG7x3NfXFbyAt6euDu5sqoga9w8tx5HgUGZu9JZeXoilSC2h3Q9izIfQtmFsIlYQ22jhD6CM0a4exhOO8wDEzNhHXhfOYR603AWix0hcpkzldnGgH5VERsdCRFy9TAxs5RKAbeVKjRkpuXjmvyjNGJfWs0d0XGvJyc1ufkwauxKwKKQM4jEBsXR0pKirAYRBkH75Xfk/iEeP5Yu46omBi27t2PdFGUKV4M7/wFMDU14dsZs5CWiV0HD1GlfDkKCZeGsQGVyExAbmiUikNakMpD/qJQpg54+KA9NSEtEdJlcekIRIdDiWqwYQZ8PQDNQhFwD87vA+nuyNy6OhMEzMwtsLC0JjxYKGLiXH7tHN0wt7SSSWN4cOcyieJn29XT25iX0xNKccjpV1CNP0cSyKuDPnj8JO9M/hyPfG7MX7aSydN+0lBIS8OyX6dz5cZNGnXrxaETJ1n0w3fY29lRWrgmVs36laOnz9Cu/0BOnb+obZY0MRF3xFptFf0lATcvcHQ3FJOPWn6xFaGZwfjWcGAlfCZcGHbOQnmoalAiPusFK7+D9sIaIRUKQ00VZyAglQTPQqU4c2QLCfGxyCcpgh7dFVaHFhlKwYl962jScRA63WPLrVCeUxD/kpMzlc8JJ4/NJCcMWY1REVAEciqBOtWqsGnhPI5tWKOF8cPFwpQ6mWoVyjN/6hQt/5uJ4ylUsECqBGpUqsjv06dxYPVyvps0EQ83N6NMJf4GgSHfQKfh6QXzF4NhP8D3B+HNH6FA6qa94kJx+FAoEjJ/yBQoUiG9jkplImBiYkrNJt2RLottK6azd+N8/HwvU7V+R2O56MhQ/O/fwKeUsOYYc9GUjLNHtxHw4DZ3b5xDvvMhgzjbJ5XikO0vkRrg8yegelAEFAFF4J8TkI9Ytu3zNt7FK+JeoCiN2r2Ce8Fixobko5ctuw/H3CKz+wKdDhd3L1p2H0GDtgOwdXAx1skJCaU45ISrpMaoCCgCioAikC0JyMcxy1VrSpmqjYUy4I18j0PaQC2tbLX3NaSdpx2ltaJE+TpUrNVKC2WrNkkT5YijPkeMUg0yTxFQk/33BOKTIDhWp0IWM3BPScJDhWfG4N//j1A1nwcBpTg8D6qqzX9NwO9BADPnr+LHGUv5efZygkPCtbauXPPV8mT+oaNnSUpKJiUFLl65ZcyXstXrdxMXn/Ne4apN8hlEYXE6LgbqVchiBtWSYqmTHKPCM2LwDP5rqCaeIQGlODxDmLmzqRc7K3NzM2Ji4pj8zRzeHPMVX06drw3AytICF2cHdu8/ga2ttXQRsmLtDvoN/oCjJ87j4e6Ck6M94z78gYmf/kxgUKhWL69FbtYp1CuYpEIWM9hgasNKE1sVnhGDvPb/OLvPVykO2f0K5bHxubo40rBeVXp2bYF8jn/hkg2s2bgHby8PunZoQsO6VShfphh7D55iwOuThAKh48N3B9OtY1N6d2vBsEE9mPrTbywQ9fIYOjVdRUARUAReCAGlOLwQzM+uk7zSUvtW9flg3CBCwyL48LNfOH3uqjb1tI1H3/64iJjYWKpVLk1Rn4JGWYVyxbG3t+Gr7xeQkJCo5atIEVAEFAFF4NkR0D+7plRLisCzJTDxndd45aUOnDl/TXM/hEdGaR3ExsXj9yBQsza4uTppeWmRdGnY2drg/yiI+w8epWWroyKgCCgCisAzIqAUh/8EUlV+ngTka4ZHD+tL/dqVWL95H+9M/EHrTq/TgfjyF5/HlYq/KK7EioAioAgoAn+DgFIc/gYkVSTrCH6acwAAEABJREFUCBT1KcCXH4/Ep1B+flu6SRuI3EBZo0pZ5N87kJYFLTM1iomJJSw8UrgwymBj/dhLV1LLqIMioAgoAorAvyeQqxSHf49B1cxuBBKTkrQh6XQ6atcoz4Sxr5HxbxOMfKMXri5OHD1xgYuXb2plExOTWCcsE4mJiYwZ8ZKWpyJFQBFQBBSBZ0tAKQ7Plqdq7T8S8HsYgHwXw+8rtrJx6wFja6++3EEoAy8bz0sWL8z8Xz6iQP58TPhkOj/NXMYPv/7OyrU7hYViBK2b1zWWVQlFQBFQBBSBZ0fgOSoOz26QqqW8Q8DMzIxK5UuIhb8ODva2mSb+4buDaNW0tjGvVbPazJw2gd7dW5HPzQmvAu4snPkJbwzshr2djbGcSrwYAskpKZw6f4HRkz7hpRGjmbt0GcGhocbOI6OimDprDgNGj2H8l19z+foNo+zxxP2HD/lk6jRGfvAR+48eJyn1LwgGBYcwbc48+o18m9Wbt2aqJq1UO/Yf4MTZc5obK5MwN54c2wJfD8gcVk+DqDAIuAtzxsN3g2GNyIuO+HMCoY9g+bcwbRgc2wwJcYayEcGwaqoh/8wuQ17G+Nw+uHo8Y45K5xEC+jwyTzXNHELAzcWRjm0b0r1TM+rWqphp1PJRzKJFDI9epgk83V21srK8DPVqVUoTqeMLJhAaFsaB4ycY2v9lBvTozpzfl/Hl9F+ITzC8yfOLn37mpFAs3hs+jIplytB/1NuZFIu04UZFR9Nr6HB8vL3o36MbU2fPwffePU15WLN1G9d97zBu2BA+m/YT+44eS6uGVDb2HD5KoYIF0en+xu5ZY80cmtjzBxxckzkE+UGMUBI2zIAW/aHVQDiyAX4a/vRJxsfCrHFgaQ1dRomy6+HCQUPZQ+vg4W2o1wW+7Af3rhjyZfzoDhxYlf5XNWWeCrmPwJ/MSCkOfwJGZSsCisA/I3DX7yHd27WhuE9hmtWrw7ihr3P8zDnu3L+vNbRy0xbaNW1CySI+9GzfVliU7Llw5ZomyxgtWrkaR3sHXurSiSrlytKodi2k9SE+Pp5rt31xd3WlRJEi5Hd3N9aX7/T4fc062jZtjKtz5kd0M7ada9KJQhnzKgGLfYVVIMQQXp0M5euDtCB0exsKloTSNaGjUBoOCyXA7ykWnpPbhaIRCW2HGJSAKs1h52KBKQVungYnD6jc1FDm1nmRL77R4TBvomhXWChsHERG7vqmCOtWjLDQhAY9IDZGsMkwveSkRMKC/fG/d52I0ECSkw17sWSRFFEvMjwY//s3CA18QJK8RlLwlJAgFLYg/zsEPvQlLjbaWCIxIZ7gR/fwv3eDmCjB2ShBWNGSiQgLIiHNIpRB9qKT+hfdoepPEVAEcieBimVKaYt62uyKFvbGwtwcc+F+knlVy5Vj3fYd3H3wgKOnTovF34fypUtKkTHEC+vEESFr0VAsgKm5NSpVZM/hI0RERmFnY01MXCyxsbGER0biaG9HQmIivy76jQJCkahZOY9YnKRVofMosLY3UJKLyc0zUKI6FKsCto6GfBnn8wYzC4NVQZ6nBbno3RbKQKEyaTngJa6H33UQCyC2zhAfY1BEZAk7oZDFioV02wJoKVwknkVlbq4LcuHftuInFnw3kmvnUq0vYpZSMbh8Zj87V89g/5ZF7F43G99rp8WCLpQsIX9w9xo71wjZpoXsWT+Hs0e2ZlIsRBHtmygUCllO1t+3cT671s5EKgzyTbnnj21nw5IpWjvbVk4nKkIohVotCPK/y+HtvxMZGpSak3UHfdZ1rXpWBBSB3Ezg0rUb1BALuWe+fNo03xsxjMioKIa+N5HDJ08zYcSbONrba7K0KDwikqCQELzz50/L0srExyfwMCBAWDLq4vfQn9fGvktJYbmoW70qW/fsRcp7dmxvrJPrE3ZiUTe3TJ/mub3gKDg7uqXnpaXuXALpbnD2TMsxHMVdL9I64eiO8O2gfaxs5a0tPLgJNVrDo7vws1BQGnSHYpXh1E6wsoOKjbXiuTGysrajSKlqBAqLQMb5BQf6cWLfGspWa0KXVz/Au3hFTu1fT3RkqLbwH9uzEkdnDzoNeJ9azXoKxWGzsBwIJSxjIyJ9TigUl07tpUX34bTsMZKHd65yYv9aYXmI4vzx7RQrU4N2fcdy/9ZF/Hwvixpo7V87f5hCxSvh6OKh5WVlpBSHrKSv+lYEcimBsIgIlm/YyGt9emKWanEoVKAALRo0wD8wkB/nLyAqJuaJ2SclJZGUlIyJielTZMlUrViB7z6cyI+ffsyUDycQExvHxWvXGdy3N2HhEZpCUbFFa6Tb4okGcnOG3BTZpM+TMwwXd6dyE+PAL56UCdM6wvSO3uRJmcyXlouhU2HYNJDHMNFWmkIRGQJfvgzDqsPh9U/Wz8E5DmJhLla25hMzCPC7SZLg4uldUuhZegr6lCFEKBOa+0AoYdL6ULhkFUxMzXBx98LW3oU718890c7B7UuoWLs1dg6uWNs6UL5mS2GhmIt0gySIdswtrTE1M8dE/B+Q57KB21dOEB0RihyXTp/1y3bWj0BSUUERUARyDYHIqGh+mreQyePGUtAj/e5o+oKFyLeBbl40jyZ16tB3+Eh8U/c/pE3e0tICK0tL4uJSd/YLgXRf6PQ6nBwdMNHrsbezxc3FWfyiTWLXwUM0rl0bRwd7Zv72O3ID7U+ffqI92XH1prhrFvVz/ffhLYRDHLxKZZ5qnFDMTm6D1gNBWhIySxEXAyxtxO1svJCkiCC+wu0jYnBwQcBEc4WIBRC9CZzdA2XrgLRszHwH5P6GVz6F5VNA9qVVzJ2RdFME+d/F1s4RcwtLbZJW1vbIBV5aDAIe3EYncu0cXUQMesHLwTkfAQ9ukRCf/rMcKZSv8GB/CgqlQysoIo+CRbV9E9GRYXh4leCB71XNBYJOj0s+L9GGL7uE66N+m37ohTIhqmT5V5/lI1ADUAQUgVxDQO472HnwIE3r1qGwV0H8AwK5c99P8wPLhd1H5Dk7OvLdpAkUcPdgf4anIiQEBzs7ypcqyd6jR+WpFk5fuEgJHx8KFyygnadFuw8fwcLCgrIli2tZZy9dolSxotSrUU2zckh3iCbI7ZG842876MlZXjoMdmIh8y6N9ojl9ZOZy5hbgdzfIF0ZqXoDD4RpXe5lyG9gaqywZS5ixYSilQ1ZclNlKXFXXqgsiLtw5P4KgySr4ufar3xLbWx0BCam5uh0mZfNhPgYoiKC0ZuYYGJilmkcSYnx4mc/2ZgXFxulKbwWFoK9MVcmUkhJTqJuiz7YOjhz+fRemnYegrlQ7I7sXEbHfu9pCsi5o9s4snM5wdKFJKtlUdBnUb+qW0VAEchlBKKF62H6/IV8N2M238+Zy8sj32Lo+Imcu3xZm6mrkxN7jxzVNjX6+T8iLiGeooUKa7Lp8xfxw5x5Wrpnh7YcP3OW0xcucf+hP9v27mNo/5c0WVp04cpVjp46Q/tmTTQLhcyXT3P43r3H0dNnSEhM0DZfyvxcHeQTDnLhr946fZpiIUM+jrngQ5AL/vevwzevCovBXkOZvcth0ceGdMVGIBY9Lh+BqFA4tQNkWzqdQS5juX8i+CHU7Yy4xZY5UKoG3L4Ad8W1TYiFAo8pGoZSuScWOKQL4mkTMjWzEIqqwQrxuFxaCHQ6UTlVIBULnS79PDVbO0ilxN4pH43aD6TTgAl4FSnHpZO7KF25gWZ5OLF3taZQyCcxls+ahFRktIpZEOmzoE/VpSKgCORCAp/98BNfTf9VW7jXbNnGyo2buevnR34Pd3Q6HT999jFnL12mcsu2vP7u+wzr/zLVK5bXSMjFXj5NIU9KFCnCtx9OYNSkj+k8cAgNa9WkbdMmUqSFqOhoPvruB4b2ewkXoYxomSIa8lIfQsPD6ScUlveHvynariByc/nX96KwGgiLgpVd+kR//xKk0nBL+NePbYIDq+HoRsNiL0v5igX/zG6ZAteC0HcCLBYuhzGCsUM+aNjDIJOxfC+E3BDZ6100t4bMk2HwN2gvmfplNNrjntKdIfPTQi47SteDm2dhIkKDiI8XipKYX3RUGLExUbgXKIandwkSExKEPFBI0J6mCA7wEwu+N2bmFlqejByc3bGxd+berUvyVAt+d65ibeuIs1u6RU1aOG5dPqHJvYtV0KwN1y4cpni52rTsPpzbV05y++opTZ4VkVIcsoK66lMRyIUEPhs3huALp4m6dtEYjm5YQ+Wywpwt5lu5XFlWz57BjQN72LZkIa0bN8JEmHeFiHnffc3iaVNlUlMyalauxO5lSzi6YTWv9uqBpXBJaEIR2Vhbs/SXH/F0F4ucOE/7FvDwYP7UKVzes4M3X+lnbDtNniuPpWsZFm59hl/l/SbBHw9gVUjmUKaOAcHLH8LXOw1podBRuBx8uh5+Fq6MrkIRsHUyyGTskh9kexmf4JD5bl7w3mKYIZST5v1kTq4KyXLjaEoKcgFPm5irZ2HNHSHf4yDzAx/44uCcDztHF+FSsKagT1ke3ruO3A8RGRasPW1RwEcodei0TZRyf4Pc2Fi1QSekJSFBKCAJcbFcPXuAWk17IGVpfUWGB3Hv5nlKVKgnFA9hzRBGCr24xsnJiSTIR29FQZ3eRMRZ883w05Y1A1C9KgKKgCKgCDxXAqrxf0Dgkd9N7T0N8sVMF4Wr4NH9G1ptaXEoWbGe9kjmgS2LuXxmH2WrNtUsCGbCXVGlfgfuXD/Dvs0LtVC4ZFXyF5KKA0LRfZ/d6+do7dRs3BUbBxd2rZ2l5UlXR+1mPTWZjBKFC+/Q9t8pKFwVrh7eMktTHkpVasC180dYt/BL5DikK0MTZkGkFIcsgK66VAQUAUVAEcieBORCni+/D72HfYlcrOW5HKle3OFXqt2aCjVaCCuDKzUadaF05YbIfHQ6pEtBWg4cXTwoX70ZdZr3Egu+wU3RrMtQpGIh2zET1pv2L72DV9HyIpSjTa/RSFeFlMmg0+kpWroGxcsJa5LMEMHExJTKddtRtUFHSldpqO2BsLZ1EJKs+SrFIWu4q14VAUUgrxJQ887WBOReg0q125AWnPMVNI5XLvqFS1ahYq1W5C9cGlMzc6NMLu6e3iWpULMlsox5hicnipapTn4hSytsY+ekKR1SMbFzdE3L1o4mpqYULVMDubFSy0iNLK1skS+HKl+9uXCRuKfmZs1BKQ5Zw/1v9xocpUcFxeDv/gyEROsIjVUhqxm4pSThrsIzY/C3f2Gqgi+EgFIcXgjmf9/JKV8LVFAM/u7PwJn7ZpwL0Kvw9xk8F1a1kmKpnxyjwjNi8O9/g6qaz4OAUhyeB9Vn2GbTMjGooBj83Z+BRsXjqe+VpEIWM1hnasNyE1sVnhGDZ/grVTX1DAgoxeEZQFRNKAKKwDMioJpRBBSBbE9AKQ7Z/hKpASoCioAioAgoAtmHgFIcss+1UCNRBLIbATUeRUARUASeIKAUhyeQqAxFQBFQBBQBRUAR+KURlu4AABAASURBVDMCSnH4MzIqXxHIbgTUeBQBRUARyAYElOKQDS6CGoIioAgoAoqAIpBTCCjFIadcKTXO7EZAjUcRUAQUgTxJQCkOefKyq0krAllDICY2lpPnLzD5x+nsOXwk0yDi4uPZeeAgE7/+lvCIyEyyqOhofl6wiNfffZ+1W7eTmJiUSa5OnkIgKQHuXIQ1P8LRjU8WuHgI/vgS7l3NLIuPgStHYd3PcOlwZpk6UwQEAaU4CAjqmwsIqCnkCALnr1zlo2+n8u2vs7h1526mMe85dIQPp0zlhznziImLzSQbN/krHgUG8frLfVm+cRN7j4iFLVMJdfIEgaAHsOQLWPaNUA6uZBZfOylkn8PyKRDin1l24SAs+hhWToVHdzLL1JkiIAgoxUFAUF9FQBF4MQSqV6zANxPex9rK6okOWzSsz4QRb+Lq5AQp6eLdQqHYuHMnbw15jUply9CvWxfe/vhT4hPEHXV6MZV6nEA+bxj4OXgWeVwCxavAIGFtcPMSsgywxRmVm8In6yExXp6p8H8IJCclEhbsj/xT3MGP7iH/FHdacfnnsUMC/TSZPCYmxKWJtGNCfCzhIY+IDA/WznNSpBSHnHS1cs5Y1UgVgWdG4MipUzSsVRM7GxutzSrlyhEUEsLJc+e1cxUpAllBQCoNd2+e58jOZexZP4eVcz5m19qZxERHkJycxI2LRzm8YynbV/3CH7+8z2FRLj5OuIHEYBMTEzi2exULpo5i97o5IidnfZXikLOulxqtIpDnCNz0vYN3gfzGeTs7OqDX65H5xkyVUAReMIHoyDDiY2Oo06IP3QZ9TL1WL3Pl9D7uCWVCKhVxMVE06TCI7q99TO1mvTiyYxkP7hj2k+h1epzy5SdFKBhJci/KCx77f+1OKQ7/lWBOqK/GqAjkYAKxcfGYmpg+MYNEYSZ+IlNlKAIviICNnRNFylTH1t4ZnVAEChYpi4OzO2FBDzE1M6dMtcZYWNlgZmFJifJ1kOUjw4OQH72JCd5FK2Dn4CpPc1xQikOOu2RqwIpA3iIgLQzyiYu0Wcu9DSnCLe8s90KkZaqjIvCCCeiE1cskg0KblBiPuaU13sUripHoMDU1F0fDN1kouda2DuTL/5T9JoYiOSpWisOLv1yqR0VAEfgHBOpUq8L+Y8eNmyHPXLyEhbkZNSrKX9D/oCFVVBF4TgRShCbrf/8m+QuX0awOj3dz8dRupEXCOV/Bx0U58lwpDjnysqlBKwI5l4DBYpDyxCOXckYJiYlIF0RUTLQ81UKTunWwtbZmzZZthIZHsGz9Rl7u2pl8ri6aXEX/h4C400X40UndlJeppMwXd8nCUZ8pWzuJiYTkZPVkhQbjr6OoiFBt/0K5ak2xsDRs4k2rdf/2JSJCA6ndrCcmGSwUafKceFSKQ068amrMikAOJSBf+tR/1NuEhoXx0ZTvGf/l18aZyBc7DRk3nuCQUBp1683Sdes1mYtwSUyf/AnLhcJQr3M3HGxtGfXaq5pMRf+HgN91mDIQfC/C2unweZ/0wvI9Dh90hCA/+G4wbJyRLjuyAYZWgZgImDMeti9Kl6nUUwlsXT6N0pUa4OouH29NLxIScJ9zR7dSv/XLWNk4pAtyeEopDjn8AqrhKwI5iYB8rPL4prVEXL3Aw9PHmDxurHH4HVo04/6Jw5rsztED9GjfziiTT1X88cuPnN+xhfdHvomdUB6MQpV4OoH8xeCr7bA8AJbcg/d+Sy8n3+Ow4AasCIJFt6GNUB7SpDXbwtyrsDIYFt+BZi+lSdQxAwHpnoiJCmfz0u8pWbGeJpHWhVVzPwHhupDvdTh5YD0lK9QjJMCP6xeOcHzPKmJjhDVHlhZlUhD/pGVHnuegkN0UhxyETg1VEVAEFAFFIK8SkE9PrF34JbvWzmL2l0P4YnRLpozriE6nI+DhbaQCsemPqUz7oJcmmzH5VaKFomFuYUVSYgLnT+wk8OEd7fFNqVDkJI5KcchJV0uNVRFQBBQBRSBbENAeuazSiF5vfM7LI78zhrotX8LUzIIq9drT982vjfkvjfiW8jWao9ebILQLHJzy0azz69Rt2Rf52CY56PP/FYcsmMiBAwcoWbLk/w1Vq1Zl7969z3x09+/fN/b72muvERsb+8z7UA0qAoqAIqAI5HwCtg4umiJQuW47MgY3z8I4uebPlCflFWq21PLlzOUmyVKVGhjLlK/RQmbnmKDPbiNNTEykZs2a7NmzhytXrlC4cGEePnxIgwYNOH36NEeOHKFx48Yk/M331EdFRbFs2TKuX7/+l1MtUKAAEydO1PoLCQn5y/KqwLMhkJSUjO+dB1y55quF6zfvEhdneE9+cEi4lidl/o+CjGl5njFERkVrg0lISOTuPX+t3LUbd7R2oqPzjgKYkAyhcToVspiBa0oS+VR4Zgy0/9wq+lcEnkelbKc4+Pj4MGrUKDw8PJ46X0dHR1555RWkQvHUAo9lTp06lZkzZz6Wq06zE4HYuDh+nbuSUtW6Uq5WD4aP/ZpHgSHIzUcnTl+i1yvv8d6kaWzdeYQhoyZr5bq+/A7f/bSYL76dS7seo9i++yjJycms3rCbMROm8s0PC4X8Nz6bMof1m/dlp+k+17GExuo4+0ivQhYzqJMUS8PkGBWeEYPn+p9GNf6PCWQ7xcHb25sqVar834mULVuWokWLamUCAwOZMGECAwcO1MK5c+e0/AcPHvDmm2/y1VdfadaG8ePHs2bNGk12+fJlxo0bp5UfNmwYu3fv1vJVlDUEbKytmPjOa/Ts0oKUFChYIB+2NtbCDaijYrkSDHmlK9O+foeXeramX++22iAb16/GL1PH8+v37/Pm4B7Y29kSF5/ATzOX0axxDZE/nqlfvi2sR0Hc9fPX6uSFyM06hQZeSSpkMYO1pjYsM7FV4RkxyD3/d3PHTLKd4vBPsXbq1AmpLAwfPhwHBwdefvllNm7cSHh4ONWrV9eaK1SoEG+99RZNmzbl5s2bDB48mNq1ayOVhsWLF/Ppp58ilQmtsIqyhICVlQXTv30XV2cHFv6+EemukBaHi1du4lMoP/k93Z4YV7xQFH5btllTLOrVrkhKcgrXb9xh2artPHgYiLmZGUNe7UrZUkWeqKsyFAFFQBFQBP4dgRytOEydOlVTGvLnz69tauzduze3bt1i0aJFODs7a0FiMRMLiKurK7a2tpw8eZIzZ85ox/LlyyMXJ7mXQlooZFkVso6Ao4MtI97opbkcvp++BLm/4dDRs7RsVluzPmQcWWhohOae2H/4DJaW5pqSYGZuSq9uLZF5BUu3YfxHP5HPzYkWTWplrKrSioAioAhoBFT07wjkaMVh3z6D71oqBFZWVkYCUgkICgoynmdM1KlTB7lHQrpEpLUho0yls5aAXq+nW8dmVKtUmsXLNvHz7OV07dj0qYM6de4Kvwh5RqGZqSnjRvXnk/dfp7B3fj7/di4tOg1j36HTyA2YGcuqtCKgCCgCisC/I5CjFQe50PzTacvNldLSsG3bNszNzf9pdVX+ORMo7O1J4wbVMTMz5eiJC5Qo6v3UHhvXr8bP372HjyifVkD+nYPT567y9vCXWPDrR3z50QguX73NrHmrCAtPfVtbWmF1VAQUgWxGQA0npxDQ55SBPm2c8hHNp+VL14V0TeTLl+8J8aZNm3j//fcpWLCgts8B9clWBMzNzZAuCxP9X/9oyn0Po4f11ca/fPUO4uMSmDr9N8IjoqhfpzIjhdvj/TGvEhIWafzLilphFSkCioAioAj8awJ//dv5Xzf93yqGh4dz48YN40uYIiIitPPo6Ghjw8OHD9fe+SD3KMgXR82fP5/ixYszYMAApOJgbW2NtDBIt8WuXbvYsmWL9m6ImJgYrd3Dhw9TpkwZzafu7+9PfHw8jx490tqX/QQEBGhpFb04AoFBocgg955ERcVw595DEhOTtAH4PwrG/1GQlg4Ni+Dajbvc83vETzOXapYFKThy/DxfTZ3Phcs3Nfmps1do0rAazk72UqyCIqAI/E0Cqpgi8GcE9H8myOr8ixcv8vPPP1OpUiWkIuDu7q69j+H27dtk/Pz+++/UqlWLpUuXYmJiwo8//kjz5s21ItIlITdQ1qtXD/lCp0aNGtG/f3+tPVPhD3d0dOSTTz6hW7duXLhwAflop6+vryYvUaIE+/fv19pR0YshkJycwr6Dp5BKQf8+7ShWpCDyqYmISIOyuG3XEW77+jF4QGesrSyYMm2hFs6ev0aVSqWE68mMOT99SL3alZg+cxnTfv2dNi3q8pawSsgnLF7MLFQvioAioAjkbgL67Do9qQx88803fP/995mCtBBkHLN8ekK+oyGtnKyXUd65c2et/jvvvIOFhQXy7ZBpZVu3bk2zZs00uVQgpIsjTSaPvXv3ztiUSj9nAnq9js7tGyPfzZAW3h09ACdHO63nl3u1ySRLKyOPUkGQ+yI6tGlAq2Z1+GnKOK3ssEE9tLoqevEE/li7nq17DRuYZe+RUVFMmzufQWPf5Yc58wgODZXZTw0nz11gzMefMXT8ROYvW0GcsAbKgkEhoUyfv5CBY8Yh/wy3zEsLiUlJ7Dp4iJPnz2tPS6Xl547jn8ziyjH4eTR8NwhmvgO+F9MLnt4lZKNgzY8QE5GenzGVGA8H1xjq//IWyDoJcYYSEcGGutNHwtk9hryM8fkDcO1ExhyVziMEsq3ikEf4q2kqArmSwNmLl3nns8+5evOWcX7fzpxNQFAwbw95jQf+jxj2/gdEC7ehsUBq4uLV67w8YjRlS5VkxKsD2LZvPys3biYpOZm127Zx5eZNLf+zaT9x4Njx1Frg99Cf3YeO4OWZ/4nHd42FclMiQSz6xzbBtgWwdzlcEAu5jYNhhtdPwarvofkASEkWCoRQLgySzPHFQ5AsXIH9PwbvUjB/Isg8WerIegH1OtRsC1/1g3tXZa4hBNyFAyvB0/AiPkOmivMKAaU45JUrreapCLwgAo8Cg/j61xm4u7oae7wqFvvf16xj9KBXKVWsGO8NH6opFdJCYCyUmth39AgO9na83KWTKFuU9s2asnHXHm0P0tWbt0W7bpQpURwPNzfOXTYsZvK15bL91o0b4ubizPP+ZIv2/YXbVihT/HAQVgTCVKE4uBaApAT45lVo3AuKVYJWA+HyUTi+JfOwY6PAQVyj6q3A2ROa9IGS1dPLSeXDyQOqtoCocLhleCsvMZEw531o/wbYOmZuMxecpQimsWKO4SGPiIs1uEnTppUsrFoRoYEEPLhNZHgwyVLpShWmCAUtOjKUwIe+yLpJSYmpkicPCfFxhAT4ERxwn/i4GGOBRGEBCg16oLURG53ZSpSSkkJURAiJUmE01siahFIcsoa76lURyJUEYmJjWbd9B4P79sbT3d04x8OnTmt7kOxsbLQ8e1tbqlUoz9HTZ7TzjFGJIkW49/AhqzZv5eGjAPz8/enfrQvy8Wtba2ukkhAbG0dEZKSmYMjHcGerZ7YBAAAQAElEQVQsXoJ7PjdqVamcsancnT6zC7bMhVnvwuY5EC0Wdznju0KZCrwHpWvLM7AUzGu0hhPbDOdpscwvVBYsrA058ujgBlaivMyxdYL4WAgLkGcGJUEqG1vnQYv+kL+YIT+Xxf5+N9m2Yjrzvh3O1bP7SfukCIXiyrkDbF/5M7vXzWbXmpncuX4WuaDLMg/vXmfHql/ZtXYWO9fM4NzRbZkUC1lGhsTEBK3M9lU/i+NMEWZpyoBs/8KxHaxd+CVblk1j28rpmqIg68gQ/OguB7f+Rnho6vWQmVkUlOKQReBVt4pAbiOQLO6ITp47j4W5GTUqVsg0PSsLS+Li4rh1954xX76wKzL1r5oaM0WidtUqvPP6ED794UctFPfxoWHtmtrbQZvWq4OfUCqGvDueYj6FqVutKtv27kc+KdWnY3tROw99i1eFrm8JV4NwRcybCOt/AXHHyiNfxGoGLvnTYbgWhHtX0s+floqOFPWFtaJ8Q4O0emsIuANy70P9rsJ6IZSy0zuFYmELlZ/+YjZDxZwdWwqFqlDxStpdf8aZhAT6cXzPKspUbUy3QR/hXawCJ/evIzoyDGkFOLZnJfbO+ej86kRqNe3JmUMb8b93I2MTWvr8sW1cPLmTVj1G0LrnKPx8L3PywHrihFJ2TsiKl61Jh5ff5d7NC5pMVpLtXzt3SPRZEScXT5mVpUEpDlmKX3WuCOQeAuEREVy+cZMmdeogNyJnnFnDWjWIFtYIuTkyPCKSQ8dPckIoGaWKFc1YTEtbWljQRCgIlcuW0TY7HhHWimRxt6fT6aguFJKvJ45nygcTRHhfsz5cuHpVWDj6EC4sEFKhqNK6HUvXbdDaytVRiWrQcRiMWwCthWti/yp4cAu0zY0pYGqWefr/x3SuFbxzEaztobhQEGRG8SowZAoM/gaGfg9ys6SfWAirt4HIEPh6AIyoBUdyF2tHV09KlK8tCWQKj/xukZSYSP5CpdDp9BT0Kau5GyLCAkkQlpnbV0/jU7IKpqbmuHp4Y2vvwp0bZzO1IU8Obl1CxVqtsXN0w9rWkQo1WrB7/RySxPWR7ZhbWmNqZi4sdKZau7LO7asnhfUhlGLlaqHT62VWloasH0GWTl91rggoAs+KwLa9+0lMTERueLx+67a28TEwOJiHAQG4OjuzYsYv3HvwkE4DB3Pp+nVCw8OR1oXH+790/QZD33uf7z/6gBlfTmb3ocPM/X2ZVkw+cu3k4ICncEvIDLlHolHtWjg5OjDzt99JSU7h+0kfMuKDj7h265YskruDiSnIDZGvTAYn4RqKChXnjmLOOqFAxItj6jc+Bm0/Q+rpE4dIUU8+odG8H1jaGsR6E+GeEO4K2a7sRz5ZUUYsqE75DO4RcWfOy5NgmVAsxMJpqJQ74xShuAb538HG3hFzYT2Ts7SysRcLvBkP71zV9jzoSBHKgKsUoRfsHIT1IUAoGwnxcVqejCLDgggLfkjBIsJFJDNE8PAqRljQQ81y4V6wuGjvmlA4zonWdDjn8yLQ/65wfcyifpt+mjIhqmT5VykOWX4J1AAUgdxB4L5wIZy/fIXvZ8/Vgu+9++w9fJRNu/Yg9yHUrFyRlTN/ZvmM6Zy+eJGXunSiXMkST0x+u1BAHB0ccbC3p271aox+7VWmL1j4RLk9h49gbm5ubOPMxUuUKl6M+jWra26NQydOPVEnV2f4lDe4J4oIN5G0HFw5apiu8KlzbAtUamI4fzwWCxn7V4DcJCnukrVHOh9/fHPrfBB30hQTVghZ/8RWKF0LCpcDcafMjdMyN9eGFOGGk5sVpTVBWhsyTjRBKGVRwhqjNzERC7tZRpFAE09KSrIxT7oj5AZLCwsrY54hkUJKchL1WvbBytaBC8e207TzYCytbDi8/Xc69X9PuEPiuHB8B8eEu0RuqjTUy5pYnzXdql4VAUXgxRB4cb2MEgv8tE8/Ii2UFot4lzateKVHNyzEAp+QkIB8fPLj737AK39+hr8qTN2pw/t10W/8NN+gHLi6OGvWgqOnzyA3W0qLRa2qlVNLGg4Xr17jyMnTtGvWBCtLSy2zWOFC3BHKyvGz54SikkBxn8Jafq6Nzu2FqDBD2LUEvEuj7WuQi3+3t2H37yDM6JwUi3xcFNpjlRLG/pWwRFgoZFq6HuZ/gPY459Kv4bvBMGe8kAiLhYi17/n9IDdb1u2MuMXWsrSnL+Q7I+S+iYRYKFDMkJ9bY4HD5HHXT+pcTc0sMBMh9TTTQW9iik4nKqfmmjx2npqtHUxMzbF3cqdJx0F0Gfgh3kUrcPHkbkpVaoCLRyFO7FvDhRO7eHj3Gitnf0Ss3JOi1Xzxkf7Fd6l6VAQUgbxGQL7XoXyz1vy8YBHtmzdl+Cv9sbe1NWKQ1oGDxw0vE+rcqoWmbLz5/gfU7tCFy8J18ek7Y4xlo2Ji+HjqNIa81Ac34QJJEwzu24eQsDD6j3qbd4e9QfWKFdNEufO4bAoMrwk/vgkePiA3MAoTuTbZtoMgnze830YoEEsN+yAc82ki7bHKk9sh6D7MfR/tfQyXDgvlQbiD9opg64jxyYrgByDL9npX5Nka6st4kFAyHt2BX96GDsPA3lXm5togXQ+unoWJEK6G+FS3THRUOLExUeQrUBQP75LCIpCoySWEZGE9CA54oLkaMioV9s4e2Ng7c+/2ZVlMCw+EIiD3Oji55dfOZZQiLBy3r5wkRVgrChWrSEJcLNfOHaZ4+dq06jGSm5eOcftq1lnU9KiPIqAIvDACeamjNXNm8OaAftqUK5QpxeU921k0bSpN69VFboDUBKnRvO++ZrGQyVMpG/P6YI5uWMPprRv54ZNJ5HNxkSIt2FhZ8fv0Hyjo6aGdp0Ve+T2ZP3UKF3ZuZeTAVzA1NUkT5c7jx2tgjliAxglLjXQbZLzrFXev9HgHfhTuineEm6FABpfQyx/C1zuFdaKAUCyEVWJ5IKwKSQ9j5wleOhHEV77fod8ksLAWJxm+7oXgvcXwq3BRtBiQQZA7ksnJyYhVW3xTjBNyE4qDXq9HvqMhRSzsQf6+ODjl0/Y1WFhaU8CnNP73rpMi6kZFhBIdGUKBwsIKJCwOYcH+REWEIOtXqd+BSyd3kRAfp4WrZw9Qs3E3ITMx9hUlXB93b5yjZIV6mMk9FfJyiHZk20nyPR2ipE4nM0UiC75KccgC6KpLRUARUAQUgexJIODBbQ5t+524uGgun96L3OAoRyoVhxIV6nJi7xoOb/+DS6f2UqZqE2ztnDVXRZV6HfC9dpqD25awb+MCChWvJBSHMrKqUHTf1d7XIE9qNu6uPU2xZ/0c9m6Yh3Rn1G7eW4q0IN/zcEi0X8CnDK7CRSEzzcwtKVWxPtcvHGH9oq81y4NX0XJSlCVBKQ5Zgl11mj0IqFEoAoqAIpCZgF64e5zcPOk55DOKla0pFnaDJUDmV67TlrLVmggDjC3VGnaiTJVGBrm4+y9UrAI1hOXA2s6RMlUbUbdlH8zMLbTGm3QaTOW6bbW0fCqj/cvjhHujBJ7eJWjT6y1sRB1NKCJpRyhcorJQDuqIM8NX7o2oUq89leq0oXi5WnR+5QNN+TBIX3ysFIcXz1z1qAgoAoqAIpBNCbi4eyGtB2nBxd3bOFJ551+kdHWq1G2nvcfB1MzcKJObJ6VrQioXsox5BvdO8XK1jdYHWcHW3ply1ZoKBaMx9k5uMssYZDuyvFQWjJkiYWltS4nydahYuzWOLpnddEL8Qr9PVRxMTc2wtbVVIRswCNVXIK8ENc//fq3DUrwIi9OpkMUMXFKScFPhmTF4oaui6uwvCTxVcZA+lsjISFTIegbHz11DBcXg7/4MnLjmzxl/vQpZzKBeUgyNk1V4Vgz+ciVTBV4ogacqDi90BKqz/0ugWdkYsiaofnMi9yYl4mngnaRCFjNYY2rLUhMVnhWD//tLUglfOAGlOLxw5KpDRUARUAQUAUUg5xJQikMOuXZqmIqAIqAIKAKKQHYgoBSH7HAV1BgUAUVAEVAEFIEcQkApDv/qQqlKioAioAgoAopA3iSgFIe8ed3VrBUBRUARUAQUgX9FIFcoDv9q5qqSIqAIKAKKgCKgCPxjAkpx+MfIVAVFQBFQBBQBRSDvEngOikPehalmrggoAn9OIDklhdMXLvLOZ18wcMw4Fq1cRUhYmLHCA/9HfDJ1GkPHT+T3teuIjokxyvz8/fngm+8Y8u77fD97LsGhoUaZSvwfAleOwS9vwdQhMPtduHPJUDg2ClZ8Bz++CVvnQUykIT9jLMtsng33rmbMVWlFAKU4qB8CRUAReCEEQkLDOHj8BAO6d6NbmzbMWPw7U36dRXxCgtb/iA8+ooCHO2/0e4k/1q7nu5lztPygkBB6DxtJclISI18dwL0HD/n65xmaTEX/h0BCHBzdKBSD+bBnKZw/ANb2hgrfvAopydBxOEjlYv4HhvyM8dXjsPhTCH2UMVel8wKBv5ijUhz+ApASKwKKwLMhcNfPj65tWlOmRDFaN2nI24MHcfjkKe7c92Ppug0kJibyaq8elC9Vko/ffkuzSFy+foNzl69y5cZNhr86QNQtTp9OHVi2YSPq8xcEHt42FJh2WFgXAuG7feBaAE5uB39f6PY2eJWErqNh+0K4ftJQXsZx0bBZKG5piobMU+EJAvFxMWxbMZ0vR7fmm7HtWb/4KyLDgrRyYcH+rFv0JV++1ZqfJvXl9MGNJCUalGQ/38vM+XoonwxrxIzPX+PquYOkSEVOq5n9I6U4ZP9rpEaoCOQKApXKlsHdzdU4l+I+hTA3N8PczJRdBw/h4uxklJUvXRJHB3vOXLyEdwFP8rm6MGvJHzwMCODiteuMfu1VY1mV+BMCZ3fDFrH4zxqH5o6IjjAUlJYExwx/kTF/MfAsAheERUKWkIvb2ulQsZEhX+ap8FQCpw5s4MrZA7z27gyGfriIqPAQLp7crSkIx/euxsbOmbe+WEWnAROQ59cvHBFlgrl99RTdB33E6M9XUqhoBX778R2CH91/ah9AtstXikO2uyRqQIpA3iBwWVgRalSqhEe+fFhbWSGtCxFRwveeOn0zUzMio6Mp4u3Nh6NHsHrLVsZ99iVJwmXRv3vX1FLq8KcEilWBzqNAKgJzxsOGX0U6Hswt4c5FiApNr2puJc7DDedHN4CDC1RqbDhX8Z8SCAn0IyU5CRd3L6xtHQQ2T5LFeUJ8HDcvHaNomRqYCd4eBYtRwKcM184fEpa1eCrXbYedUN5s7Z2p36YfsTER+N+/8af9ZDeBUhyy2xVR41EE8gCB8IgIVm3eIlwT3YXFwYxOLVto7ojZwqoQGh7O1r378HvoT7HChTQajevUpkq5sly7dYvNu/ag0+m0fBX9HwIlq0PHN2GccEO0fAX2rwTpvpCWhAihNPz+JUSK48WDBkWicDl4dAdCHkGTl8DE7P80nodFGaZerloTwgWvtQu/4M71s1hYWlG2ahNNeTBYEFK00iZCCfbwCdM4TQAAEABJREFUKk7gQ19MzSywsrbT8mWk15tiYmJKvvw+8jRHBKU45IjLpAapCOQeAvJpiR/mzOfjMaPxzp9fm1j9mtWZ+dXnrNy4mYFvj+PIqdO4ujhToXQp5ObIXkOHM3Lgqyz84TvNCjHmk8kkCsuDVllFf05ALFjYOsLAL8Axn1AUQqBoJfh4Ldqehq/6wYltIC0OJarCEWFtcC8Mgfcg4C7Ex0DwQwgR4c97ybOSgkXK0aHfexze8Qer539G8XJ1sBXWGr3eBKHdcvfGeU2JSEyIIyzooXDNWaHJMHxSUlK4fHoPVYQFwtXDoCQbJNk7VopD9r4+anSKQK4iEBEZxfb9B2harw4+Xl48CgzSnpKQv0A7tWrB3pVLmfLB+5y9eJl3h76Ok4MDJ89f0M7lpsqihbz5bNwY1mzdxv0HajH7Rz8cRcqDi0FRo1xd+HwLjJ4BEcEw4BOwtEXY3YXysA5WfAsbZ4K/sEDsXSqsFav+UVcvsHCWdhUVEaLtWeg0YAJWNg7sXj+bkID7mFlYUrNJN84c3sS+jfO5cGIXt66cxMO7OOaW1sYxP/K7yYO712jVc7QxLycklOKQE66SGqMikAsISEvDLwsXMU1YG2YsXsJrY99lxMRJnLt0WZudfKeDdEN8+fOvSCWiTdPGWr6zUB70ej1rtmwjKjqah48CKO7jg5OjgyZX0Z8QOL8PsaqJEAa7loB3mXTFQb6j4fx+WC4UhEIiv1FPsBWWiQ7DYNg0Q+j/seGpi04joP0bf9JJ3s4+c3gz929fokbDLnQe8D7CgMDR3SswEa6HWk170LzrMM0CYWpqTkJ8LEVKV8dEyCS18JAA7lw7Q83G3bCxE+xlZg4JSnHIIRdKDVMRyOkEvvjpZ76c/qv2Lgf5+OWS1Wu5eecOnu75kOl6nbqzYecuhvTtQ88O7bS9D3LOFcuUZtonk5gyYxY12nZi3rLl/PjpJOxtbVGf/0Ng6Tcwohb8JBZ+D+E/r9cFpAn92CZ4s4bhSYu6naHFAMQt8v9p6B+I8ljRR/dvYmJmjnRLuHp4U7FWS4If3UN+LK1sKVG+DmWrNuXUwfWUqtQA76LC6iOE8rHM21dPIl0dTm4FkI91Htm5jDip0Al5dv/qs/sA1fgUAUUgdxD4eMxbBJ47SdS1i8ZwdMMa5GOafTp35MKurZqCUKlsaUxNhI84ddqmpqZ0bduavSv+0MosnjaV8qVKpUrV4U8JfLwGZl+Ed+ZDaaFAmFkYilZvDbMuwFuzoExt/lRpcC0Ak4SLolw9Qz0VP0HASygCl0/v5dzRrdy/dUl7FLN8jebC8pBMwIPbwlWxmYXfj8bTuyQN2vQXepspsdERrFnwBfOmvMnXY9ryds8SjB9QGem2sLC0eaKP7Jihz46DUmNSBBQBRUAR+M8EVAPPmUDFWq1o3/cdrp0/rLkoylVrSqnKDZEWhZP71+F/7zpteo+maachxpHcuXFOuC1iqNmkuzHUatpTWCuEQmcslb0TSnHI3tdHje4/EoiLT+DwsXO8M/GH/9iSqq4IKAKKQGYCpsJNUbZaE7q8+gGdX5lIuerNMBOWHVMRWnYfTotub1KgcJlMlaT7oufrk8kYur32Ed7FKmQql51PlOKQna9OLhtbcnKytoB7l2lLxtCwzWD+WLntucz2ytXbjHznG76bvvi5tK8aVQT+NgFVUBHIJQSU4pBLLmROmIbcGT/5w6EMfa07RX0KcufiBk4fWELlCiV55Y1JLH0OykOFcsV5rX8nrK0sjYhWr9/Nuk37jOe5KeEbpmPJRVMVspjBqPhQ3k8MUeEZMchN/0dzw1yU4pAbrmIOmoPc6Obh7oKFhbk2amcne94c3IPChfKz6I9NWt7zjIJDwtmwZT8hoamv132enWVB24UcUuhdJlGFv2bwXBlNNXfkM1MnFZ4Rgyz4r6S6/D8ElOLwf+Ao0YshkJCQiHRjuLk6ZupQWgVGCDfD0Le/YMeeY5rsUWAI30xbxPsfT+fhoyCOnbzI7yu20n/Ih3z/8xKiomL4edZy7XzLjsNanbQoITGR6TOXsWLtTn6ds4LXR01OE6mjIqAIKAKKwN8koBSHvwlKFXv2BFJSUjhx+jKffjUbaYmYMPY1YyfS+hAZFc1bb/alXKmivDH6c+7cfcj23UeQf375pZ6t+ejzmVpew7pVOHHmMrv3ncDKyoLmTWpy9MQFLl25ZWxPJuQjfq2a16F4US86t2/MhLEDZbYK2YGAGoMioAjkGAJKccgxlyp3DfT0uasUq9SJjr3fwsTUhHW/f4tPYcPrcCMio7XNjBM+mU7T9q8z5cdFyL+IuGXnYcLDIoWbIQJra0tGvtELG3H09HDFWigMkpDcR1GsiBe2tlbyNFPQ6XQ4OthiYW6Os5MDBQu4Z5KrE0VAEVAEFIG/JqAUh79mpEo8BwKVypfgxpk1LF/wFRERUdy688DYS1BwKHGx8RzaPlcrI8vJ8Fq/jpQtXVRzT/R6ZTyLl26iUCGDsmGsrBLPgoBqQxFQBBSBPyWgFIc/RaMEL4JAlYoladeqPt/+uJi79/21Lq0sLTUrhNzfcOv2fS3vzr2H7DlwEnt7Wz56bzDDh/TkwJEzTP3pN02e38NNO6pIEVAEFAFF4PkSUIrD8+WrWn+MgNyg+MA/kMCgUE1ibm6G3K9QsEA+WncdwVbhjrCzs+blnm1ZvmY7dZq/SqGy7ajZpD9urk4cOHSabbuO0L51A9q1rE9IWITWTkHhdvC9+4CAwFDkpkh5/GnmMlau3UV0TJxwdSQTKso6Otjhns9Z5MXyx8qtWnmtgewcqbEpAoqAIpCNCCjFIRtdjNw+FPnkxAef/sKs+auRj0OWqNKFjVsPIB/N/PqTkZiZmmqbID+fMpc3Bnblsw/exFUoC1Ip+O7ztyldojBVKpXG28tD2/sglYwpn43SsI0Z8RL2djZ0fWksJiZ6alUvz7uj+yOVkJVrd2jKQsPWg3EQFosmDauz6PeNIm0nlJHMT3JojalIEVAEFAFF4E8JKMXhT9EowbMmoNfr+XzSm8Z9C1dPrqRNi7paN3a21pzav1iTfTLhDWxsrBg3qh/nDv3Oga2z6dW1BbJ+rerleK1fJ47uWsDmldPwEpYG2UBh7/zs3jiDvZtn0qxRDX6fO5mB/TrSvHFN9myaqbV75uASzMyEcjKwG4d3zqNVs9qy6j8Nqvz/IRARFcX2/QdYuGIVB44dRz4Bk1Y8Lj6eHfsPsmD5So6ePpOW/X+PgcEh7DtyjPiEBK1cVHQ0ew4f0do/e+mylpcWScX0ys2b3PXzIyUtMy8c42PgyjHY8wfcOJ15xrHRcO0k7FhsOGaWZj4LfQQntsJOg/sPWffMbti7DO5fy1xWnvndgEd3ZEqFPEZAn8fmq6arCCgCz4lAfHwCJ86eQy72d/0eMGnKVLbvO2DsbeeBgwSFhOB7/z5vffQp+46Kxc4ofTIhlYXlGzbyyffThGspRnvXx84Dh/h97ToihYIy8espXLyWvqAFBAezcuMWYmLjnmwst+YEP4DFn8LuJRD8EKFdp880LABWfIumUMhyQnFPFz6WunoCZr8LF8T1SjQoaZwVSoNURqRy8MNQCLqfXkm2vXMxJCWm56lUniGgFIc8c6lz6UTVtLINgQSx4FhaWNKtTSvGvD6IyuXKsvvwYW18fv7+ODk40KV1S8a9MQSv/J5s2b1Hk/1ZdOO2L7+tXmu0WsQJxURaKgq4e/Bqzx4kJiVz6PgpY/VVm7ZQsUxpihUuhM6Ym4sTkaGw8nuwtIU+E6C9WNx9KqRPeOnXkJIMnUZA55FQtFK6LGPqylGYOhga9IQeY6H5ywaptDa4eUHH4XD1uAhCuTBIhJIxHqq1Ag+ftJxcc4yNieLskS0smzGRy6f3ZppXRFgg6xZ+wWfDm7BtxU9ER4YZ5XGi3r6N8/lydCuW/TqB0CChyBmlmRP3bl5gxuSB/PxxP25eSlegAx7cYu43w/h8ZHNOHdyQqVJ8XAw718zg4b3rmfKz4kQpDllBXfWpCORCAjbW1tSqUgmduLOVLgX5gq9m9eppM83v7i5kldHpdERFxxAtQseWLTTZ06I44dZYuWkzHVo0w87WViuSURlIkc6IlBQQmcniuHn3Xvz8H9GmSSNx051Hfq3tXwkPhLugRmuIjoA44ZYQLJCfVUKhkIt9vS4G5UHKZP7jIeAuzBwnlI43oHAZQzuJqVYEca0kZtFAei1pYZBuj3J1oVQNkGXIXZ/bV05wZOcyzh3bRkJ8rHFy8cJ1s23FdGwdXHl36lbkz/ehbb+TmBhPSnIypw5txP/+DUZ8upRi5WqzVigYMdHiuhhbMCRCAh8w79vhNO8ylE4D3mfVvM8IenRP9BXHnvXz8C5agUHvzWb/poXcvXFeqyT7un7+MFY29rh6FNLysjLKI//DshJxnupbTTaPE5BugrVbt/Pq2+8QHRtLzcoVjUTihcVg487dvPLWWM0aUaZEcaMsY0Lui/hj7Xp8vLwoV7KEUSSfwKlZuRL3Hz5k9pI/MDU1oUalCpy9eIk1W7by3pti8TOWzgOJ7QvAyQMOr4epQ4QCIKwFfuJuNCoUlgsXhbQw7FthkE0XFoeAe09CkVYFuUfC2g6WfA5TBsKORYZyFRuBVCxW/QDFKkHxKoa9FNLt0WKAoUwujEtVasDLI797YmZ+d64QKhb9irVbY2JiStlqTbh36wJhwf5Ia8D5o9tEXlNtcZcyWebGxaNPtLN91c8UK1sTn1JV8fQuSblqTdnw29eijWgihAvI0dUDGztHLCyttXPZQLC4dg/vXqNUpYbi595MZmVpUIpDluJXnSsCuYuAvAF1sLMV7oLC7Dp4iHnLVhAXl7rnQFgHbKytKCpcCUvXb+CXhcJH/pTpHztzljihZHRr1yaTVG6ObVynNn06d8TJ0ZFPxr6Ng709Ow8c5O0hg5CP+v40fwGjJn3MX+2fyNRwTjx5cBOkq6KRcC/0eheG/wT+d+DAKrgk3EOxUdDudeF6eAdeF0qEzNs8O/NM5d207wWo2BiqthDlpkDNdrDhVxALGBUaQpPekL+IaH866MRycVWY1et0hNhIWDkVZoxBc2OQuz/yjj/w4R2sbO2xsjZYwOwd3UhOTiLwoS/hoQHCbRGKi7u3BkIqDc5uBXh45ypJ0kqj5UKcuC63r5ykTBXBNjVPKhE3Lh5DWjSsbByIDA9GuksS4uOQ5/FxsexY/SvFy9fGydUztVbWHsRPQtYOQPX+HAmophWBF0zA0sKCJnXr8PGY0Yx6bSAbduzC71GANgpzMzPkwi8X/Fd6dGOBUCoeBhhkWgERBQQHc/7KVbq2aYksL7IyfW2E4lG/RnX6dOpAqaJF2HPoKBXLlqFoIW+kleLIydNUr1iRQWPf5fG2MzWU00+Erx0La3AXZmtx90v+omiL/8PbIO6AkT6GgiXAwgq8SkH9rgZrQaE5jdkAAAfTSURBVMZ5JyaAML/jXhhsncBclK3SFPQm8PAWWvvlG0A9Ude7NJzfD/LoKfqSFo3rp6BQWVj0ScZWc2U6JSWZ8BB/LK1sMDEx0+Yoj1KZjQgJIPjRXUzEdZBWAinU6XSYmVsQFRFCkuQsM0WICg8hXriNHJzcxZnhK9tMTIgjQYTazXpy8eRupn/UlzJVG5NfWCR2rZtFqQr1KFiknKFCNoiV4pANLoIagiKQ2wjIt382qVOLlDSfe+oEdTod1laWNKxdG7k3AXRk/Fy6dp1FK1dTv3MPyjZuwRvvTdQe66zdvgsrNm7OWJTTFy8SEBREDaEo6HQ6zfJQqVxZ+gqLRHRMLFv37MtUPlediLtZsSIJy0Bg+rTE3aq22EtlQnL1F0pEmtTeFeyEcpB2Lo9m5mh5QX5Cz0iROWBuLYIlyLYMOYb47B60/RTl6oNeLBtb5kKVZiI0h4hgNCuHoWTujbWfZd1T56f9nAuRTieip5YwZGp7c0RSp3uynMwpVLwSb0ycz/vTdtKo/av4XjuNhVD+ytdsye2rp/jlkwFMHtGcwzuWIh8/Fk1lyVf8BGRJv3mxUzVnRSBXE5B7Dzbt3K09jhkXH8+B4ye0PQ753fNx885d1mzdRmBICFHR0Rw4eox2TZvg4SYWNEFFuhbk+xka1KzBnuW/c2HXVi38/Pkn1K1ejUPrVgorRCtR0vB9IKwYcr+EYfOkjZbp5uJMcEio9rhnkjAh53Nx0fJzZeRSAG3PwXGhTIk7WM21cPcSlKsHpWtBscogNzEK0ziB98XCfgga9jSguHEajol6ZhaG8vIdEPI9DfLO+IawIngJ64K0VhhKg9w3Ifc9tB5kUCpkvlRO5F6HUH/DI5nCbC+zc2vQ6XTYOriQINw78mdLzlNuikxKTBS6Vz4cnD20hVy6FaRMKhLS3WAjlDUTUzOZpQVroZCZCctOpLBEaBkiiooIxVRcC2tRVpymflMIfOCr7aGo1rCz1u8RoSyUFi6OfqO+Y/3ir3h0/0Zq2Rd/UIrDi2euelQEciUBuZh/9N0PDBn3Ht/8MlPbpzCoT28szM15KBb68V98zbDxEzWZmbkZowe9auQwe8lSZixeYjz/fwm5Z2LqzNk0r1+PYoULGYu+3KWz9vKn0ZM+oUurVtSpXtUoy5WJDkMhQCgF00fB/A8hf3Go3NSwuL85DfyFxWH6SPjjSyhb1yCTIA6ugaVfyZQhX+5ZWPgRyLLSHdFKXhd5/yuKSGuCfHqj5zhwcBUZqd+XJ8Gtc7BkMlRrAdJ9kSrKjQedTk++AkWJiY4Q3p0IbYrhwkWhNzHB1cMbuZ/Bxs5Zc1lIoXRPhAT44eFdAhPhwpB5MljZ2GubIi+fTreGXb9whKJlaiCVDFlGhsSEeK6dP4R3sQpY2zqSnJRIRHgwTq75NZeF3DcR5H9XFs2SkHcVhyzBrTpVBHIvgYplSrNq9q98N+kDBvXpRf9uXbT3NcgZV69UgW1LFvLNxPd5o19fTZ7P1VWKtDDlg/F8/5FY/LSz9KhhrZrM+vpz7FMfyZQSc6GIvP36IGpXrSJPjaFqhfJM+XACP3w8ic/Hv5OpjrFQbkoULgevfAovfwAvTYSWr4B8OkLOUe5rGCSUg36ToM/70P4NtP0OUtZFKBrjU5U0uU9C1hvyjSg3Hnq/Z7BWyHIyiDtk2gwWSkkxeZYe5N6H17+DoT+AVCrSJbkiFRMVITxBCcgFPG1C+QuVwl5YVi6e2KXJzhzepD0VIfPMhTuhbNUm2v6E2JhITh5Yj1zcfUoIy49o4LdpY7QNjiJJ8y5vcOnUXu7eOKcFuadBPpopZWnh2vnDJAjlwadUNfTCNSStFs6unsgnK+Q7JkxMzHAvWDSt+As/6l94j6pDRUARyJUE5N8a8cznhneB/ORzdcHCwtw4TynL7+6uKRJSYZBWCKNQJFycnHB1dhKpzF+5V8JNuBzkL880iU6nQ7ohMuZJmTx3Fe0U9PTA1tpaZuXuoBO/vsXdKK4FwdkTzNJ5axOXGx6lzMkdTDPIpDIg87RCIpL1ZH1ZVtYRC5XINXzlRknZh+EsPZZlpAXCtYBQSHIXa7kw//RRX6R1YMOSKZw5tEmbt1QOmolF/8GdK3z1dhssLG2o37qfwG6JfHdJpdqtsXfKx/fju3Hvxnk6v/I+NvbOWl10OvHVaWlHF0/6jZ6qvedho2i/y8APhAJSQpPJyKB4rENulDQxMZVZWh8N2w3kkd8tti7/SXtc1DUL3+eg10aV9ZEagSKgCCgCioAikOUEKtRsyYQfdxmDfG9D2qDshLLUbdDHvPf9NqQSYW3rkCbCwsqGJh0HMe67zXQb/LG27yFN2OfNr4VMWG5SM7yKlGPYpMUMmTCPIsKqkJqtHSytbOn75jdIRUXLSI1chUvkpRFTGPP1WkpWrJeamzUHpThkDXfVqyKgCCgCioAikCMJPF1xyJFTUYNWBBQBRUARUAQUgedN4AnFQS98MQ9DE1m2P1iFbMBg9n4XVFAM/u7PwPzjDiy5aqVCFjOYahrGLPNQFZ4Rg9Hdi6HCP2PwLHk9rog8oTjYWZsysE1hFRQD9TOgfgbUz4D6GcgWPwOPL1zqPGsJPKE4ZO1wVO+KgCKgCCgCikBuI5C75qMUh9x1PdVsFAFFQBFQBBSB50rgfwAAAP//GoK5bwAAAAZJREFUAwBN8yGhRdCgmgAAAABJRU5ErkJggg==\" width=\"526\" height=\"673\"\u003e\u003c/p\u003e\n\u003cp\u003eFurthermore, the study investigated the association between clinical symptoms and HPV test results in 695 patients. Participants were questioned about genital symptoms, including pain, bleeding, abnormal discharge, itching and burning, and the presence of lesions. Intriguingly, a significant proportion 517 (74.4%) of patients reported no symptoms and were referred for routine screening (Table 5). Of the HPV- positive individuals, 69.4% (163) were asymptomatic, highlighting the importance of screening programs. Conversely, 23.0% (106) of HPV-negative individuals reported at least one clinical symptom, suggesting the possibility of alternative etiologies for their discomfort.\u003c/p\u003e\n\u003cp\u003eTable\u0026nbsp;5.\u0026nbsp;Patient\u0026nbsp;history\u0026nbsp;of\u0026nbsp;HPV\u0026nbsp;infection,\u0026nbsp;clinical\u0026nbsp;sign\u0026nbsp;and\u0026nbsp;virus\u0026nbsp;clearance condition\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"720\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 65px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 117px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCondition\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eNegative\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePositive\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eP-Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eHistory\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e892\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 74px;\"\u003e\n \u003cp\u003e221 (24.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e111 (50.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e110 (49.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e58 (26.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e80 (36.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 74px;\"\u003e\n \u003cp\u003e671 (75.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e483 (72.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e188 (28.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e76 (11.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e161 (24.0%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eClinical Sign\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 65px;\"\u003e\n \u003cp\u003e695\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 74px;\"\u003e\n \u003cp\u003e178 (25.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e106 (59.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e72 (40.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 90px;\"\u003e\n \u003cp\u003e0.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e42 (23.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e50 (28.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 43px;\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 74px;\"\u003e\n \u003cp\u003e517 (74.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e354 (68.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e163 (31.5%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e58 (11.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e144 (27.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003ePain\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 65px;\"\u003e\n \u003cp\u003e43 (6.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 117px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e32 (74.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e11 (25.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003cp\u003e(9.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e8 (18.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eBleeding\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 65px;\"\u003e\n \u003cp\u003e26 (3.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 117px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e17 (65.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e9 (34.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e4 (15.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e7 (26.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAbnormal Discharge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 65px;\"\u003e\n \u003cp\u003e45 (6.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 117px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e31 (68.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e14 (31.1%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e6 (13.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e13 (28.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eItching and Burning\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 65px;\"\u003e\n \u003cp\u003e58 (8.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 117px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e37 (63.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e21 (36.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e11 (18.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e19 (32.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLesion or Wart\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 65px;\"\u003e\n \u003cp\u003e69 (9.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 117px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e26 (37.7%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e43 (62.3%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e31 (44.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e25 (36.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 107px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eCheck Up\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(No Sign)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 65px;\"\u003e\n \u003cp\u003e517 (74.4%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" style=\"width: 117px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.9281%;\"\u003e\n \u003cp\u003e354 (68.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79px;\"\u003e\n \u003cp\u003e163 (31.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 90px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 72px;\"\u003e\n \u003cp\u003e58 (11.2%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 9.3525%;\"\u003e\n \u003cp\u003e144 (27.8%)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eVariability in HPV Detection Rates: Methodological Considerations and Marital Status Association\u003c/h2\u003e\n\u003cp\u003eThis study analyzed HPV detection rates across several diagnostic methods and explored the relationship between marital status and test results. As detailed in the methods section and corresponding tables 1, the protocols, genotype targets, and lower limits of detection varied across the diagnostic methods employed. This heterogeneity complicates direct comparisons of overall HPV prevalence, but offers valuable insights into the performance and limitations of each assay.\u003c/p\u003e\n\u003cp\u003eSpecifically, four diagnostic methods were compared: INNO-LIPA, HybriSpot, COBAS X480, and Sansure HPV G26 Diagnostic Kit. These methods yielded positive detection rates of 52.5%, 61.5%, 17.2%, and 52.1%, respectively (Figure 4a and 4b). HybriSpot demonstrated the highest positive detection rate in this comparison. The COBAS X480 exhibited a substantially lower percentage compared to the other methods, likely due to its focus on detecting only 14 high-risk HPV genotypes and its comparatively higher limit of detection. These observed differences in positivity rates may stem from variations in assay sensitivity, the range of HPV genotypes targeted, and potential differences in the underlying patient populations tested.\u003c/p\u003e\n\u003cp\u003eFurther analysis examined the association between marital status and HPV test results within the 2023- 2024. Of the 899 patients who provided marital status information (86% female, 14% male), 72.5% declared their marital status, with 27.5% of those identifying as single (Table 2). A statistically significant association was found between marital status and test results (\u0026chi;\u0026sup2; (1) = 81.28, p \u0026lt; .001). Among those who declared their marital status, positive HPV rates were 56.3% and 24.5% in single and married subjects, respectively. However, single individuals had 3.96 times higher odds of testing positive compared to married individuals (95% CI [2.91, 5.39]), and the relative risk of a positive result was 2.29 times higher for singles (Table 2).\u003c/p\u003e\n\u003cp\u003eFinally, the study examined the overall HR HPV infection rate from 2011 to 2024 (Figure5). The infection rate exhibited variability throughout this period. However, drawing definitive conclusions about trends in overall prevalence is challenging due to the evolving testing protocols and varying sensitivity of the diagnostic methods employed over the years.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eCervical cancer remains a significant global health concern, necessitating comprehensive strategies for prevention and control (27). As highlighted by the WHO's call to action in 2018, early screening of HPV, timely treatment, and expanded vaccination coverage are crucial for improving outcomes (28). Determining the type-specific HPV prevalence is essential for formulating effective prevention strategies for cervical cancer (29). This study offers a valuable examination of HPV genotype distribution from 2011 to 2024 about 6418 individuals in Tehran, using a precise molecular method. Our data indicates a prevalence of HPV approximately 42% within a referred population at a Saeed pathobiology and molecular lab, Tehran.\u003c/p\u003e\n\u003cp\u003ePrior research, such as a 2024 study by Hojjati et al., reported a 23% overall HPV prevalence among Iranian women, with rates varying widely from 2.2% to 97% across different regions (30). Similarly, other studies in Tehran have reported HPV infection rates of 53% and 49.5%. (17, 31). These Iranian findings are generally consistent with prevalence rates observed in other populations. For example, a study of American women aged 18–59 reported a 39.9% prevalence of any HPV type (32). These Iranian findings are broadly compatible with prevalence rates observed in international populations, where variations are attributed to lifestyle factors, sexual practices, financial limitations, awareness, and diagnostic sensitivities (33).\u003c/p\u003e\n\u003cp\u003eThis study of 6418 individuals over 13 years demonstrated age-related trends in HPV infection rates, with the highest prevalence in the 13-20 and 20-30 age groups. While some studies in Iran have reported peak prevalence in the 30-40 age group, our results align with other research indicating higher HPV prevalence among individuals under 30. (34, 35). The elevated infection rate in younger women is attributed to recent sexual activity and a less sensitized immune system, aligning with existing literature. The decreasing infection rates with age suggest viral clearance or potential reactivation during menopause, highlighting the importance of early HPV vaccination programs (36, 37). The study also revealed gender disparities, with women showing an overall HPV positivity rate of 40.8% and men exhibiting a significantly higher rate of 63.3%. The increasing prevalence in Iran, influenced by factors like limited sex education and vaccine access, underscores the urgent need for intervention. The cost of HPV vaccines, not covered by insurance, poses a barrier, necessitating effective national interventions and oversight to manage vaccine usage and curb rising infection rates.\u003c/p\u003e\n\u003cp\u003eThe analysis of HPV genotypes in this study reveals a complex infection landscape characterized by a notable prevalence of co-infection with both low-risk (LR) and high-risk (HR) genotypes. While HR genotypes were more common overall (29.2%) compared to LR genotypes (24.8%), a significant 27.6% of individuals exhibited co-infection, suggesting potential synergistic effects. Gender-specific analysis showed a higher proportion of HR genotypes in males (36.7%) than females (28.6%). Discrepancies observed when compared to other Iranian studies highlight the importance of considering regional and demographic factors in assessing HPV prevalence and associated risks (38, 39).\u003c/p\u003e\n\u003cp\u003eThis study investigated the distribution of human papillomavirus (HPV) genotypes in a population referred for HPV diagnosis, identifying 2718 infected cases and 34 distinct genotypes. The most frequent genotypes were 6, 16, 52, 31, 53, 66, 51, 11, 44, 54, 42, and 39. HPV-16 was the most prevalent high-risk (HR) genotype, while HPV-6 was the most common low-risk (LR) genotype. (31, 38). In this study found a lower prevalence of HPV-18 and a higher frequency of HPV-52, HPV-53, and HPV-31. These variations highlight the importance of investigating local epidemiological patterns for effective prevention and management of HPV-related cancers.\u003c/p\u003e\n\u003cp\u003eSingle infections were the most common in this study (22.8%), followed by double infections (10.3%). Variations in infection patterns may be influenced by factors such as gender, sexual behavior, and geographic location, warranting further investigation to inform targeted prevention strategies. Regional and demographic factors must be considered when assessing HPV prevalence and associated risks. Multiple HPV infections are more common in men, potentially linked to a higher number of sexual partners (40).\u003c/p\u003e\n\u003cp\u003eThis study, examining HPV history and clinical presentation in patients referred for HPV testing between 2023 and 2024, reveals important insights into HPV persistence and clearance. The finding that approximately 49.8% of patients with a prior positive HPV result tested positive again underscores the challenge of persistent HPV infection. Current understanding that a significant proportion of sexually active women will contract HPV, though many will clear the virus within weeks or months (41).\u003c/p\u003e\n\u003cp\u003eSeveral factors were identified as strongly associated with HPV acquisition, including marital status, lifetime number of sex partners, history of STIs, and oral contraceptive use. Notably, having two or more lifetime sex partners and a history of STIs were the most significant determinants of high-risk HPV incidence (42). A greater number of lifetime partners was associated with reduced clearance rates for any HPV (43). These findings are contextualized by other studies. Allameh et al. (2022) reported an overall HPV clearance rate of 67%, with age, cervical histopathology, and parity as key risk factors for persistence (41). A limitation of this study is the absence of data on the timing of initial infection and prior positive results, preventing a complete assessment of long-term clearance rates. Further research is needed to fully understand the dynamics of HPV infection and clearance, and to develop targeted prevention and treatment strategies.\u003c/p\u003e\n\u003cp\u003eThe relationship between marital status and HPV infection rates presents a complex picture, warranting careful consideration of cultural and behavioral factors. While in our study revealed a significantly higher HPV prevalence among single individuals (56.3%) compared to their married counterparts (24.5%), another Iranian study reported similar rates in both groups (66.5% and 67%, respectively) (17). This discrepancy may reflect evolving sexual behaviors in Iran, where single individuals, including those who have experienced divorce, are increasingly engaging in multi-partner relationships. The absence of similar findings in older Iranian studies could be attributed to the social stigma surrounding such relationships, which likely discouraged the inclusion of marital status as a variable.\u003c/p\u003e\n\u003cp\u003eMost HPV infections are asymptomatic and result in no clinical disease. Some HPV infections cause small genital warts that can appear on the vagina, penis or anus and rarely the throat. They may be painful, itchy or bleed or cause swollen glands (44). This is supported by a study of 695 patients, where a significant 74.4% of participants reported no symptoms, and 69.4% of HPV-positive individuals were asymptomatic, reinforcing the necessity of screening programs. Conversely, 23.0% of HPV-negative individuals reported symptoms, suggesting other possible causes for their conditions. These findings align with research by Mao et al., who found no association between HPV infection and symptoms like discharge, itching, or burning (45). The data emphasizes that symptomatic individuals represent a small fraction of the infected population, as HPV is the most common STI in women with up to 79% acquiring it during their lifetime, yet only about 1% presenting with genital warts. The convergence of these studies emphasizes the importance of HPV screening, given the high rate of asymptomatic infections, and highlights the complexity of diagnosing genital conditions due to the potential for alternative etiologies.\u003c/p\u003e\n\u003cp\u003eVariations in HPV detection methods significantly impact reported prevalence rates (46). A study comparing INNO-LiPA, HybriSpot, COBAS 4800, and Real-time PCR revealed detection rates of 52.5%, 61.5%, 17.2%, and 52.1%, respectively. The low COBAS 4800 rate likely stems from its limited high-risk genotype coverage and higher detection threshold. This correlate with findings that hybridization techniques, like INNO-LiPA (detecting 35 genotypes), generally capture a broader range compared to PCR- based methods. While COBAS 4800 offers high specificity (47), HybriSpot's multiplex PCR and DNA Flow Technology enhance its detection capabilities. Further underscoring methodological effects, a comparison of LiPA-25 and Sansure-26 real-time PCR assays showed 91.3% and 89.7% agreement, respectively, across compatible genotypes in swab samples (26). This indicates a high degree of correlation between the two assays, but also reveals some discrepancies that could be due to differing primer design or amplification efficiencies. Finally, the Vitro HPV Screening test demonstrated comparable clinical sensitivity (100%) and specificity (approximately 87%) to the Cobas® HPV test in detecting CIN2+ lesions (48). These discrepancies underscore the critical role of assay sensitivity, target genotype range, and the specific patient population in interpreting HPV prevalence data and highlight the need for continuous comparative evaluation of HPV detection methodologies.\u003c/p\u003e\n\u003cp\u003eFinally,\u0026nbsp;the\u0026nbsp;study\u0026nbsp;examined\u0026nbsp;the\u0026nbsp;overall\u0026nbsp;HR\u0026nbsp;HPV\u0026nbsp;infection\u0026nbsp;rate\u0026nbsp;from\u0026nbsp;2011\u0026nbsp;to\u0026nbsp;2024\u0026nbsp;(Figure5).\u0026nbsp;The\u0026nbsp;infection rate exhibited variability throughout this period. However, drawing definitive conclusions about trends in overall prevalence is challenging due to the evolving testing protocols and varying sensitivity of the diagnostic methods employed over the years.\u003c/p\u003e\n\u003cp\u003eThe increasing prevalence of HPV among sexually active Iranians, May irrespective of economic status, cultural habits, sampling periods, and lifestyles, marital status, or age, underscores the urgent need for intervention. This data can inform future research, influence public health policies, and contribute to the design of vaccines and national vaccination initiatives(49). The rising rates of genital tract HPV infection in Iran, potentially linked to a lack of sex education and limited vaccine access, mirror trends observed globally. These trends highlight the impact of early sexual activity, multiple partners, and inadequate preventive measures on HPV infection rates.\u003c/p\u003e\n\u003cp\u003eThis study, while providing valuable insights into HPV prevalence, is subject to several limitations. Notably, vaccination status for HPV was unavailable, a critical factor influencing test results. The study population, comprised of individuals seeking HPV testing at the laboratory, likely represents a higher-risk\u003c/p\u003e\n\u003cp\u003egroup with significant symptoms, thus limiting generalizability to the broader population. Furthermore, the absence of demographic data, such as occupation and number of sexual partners, restricts a more comprehensive analysis. The lack of cytology information for positive samples also prevents correlation between HPV genotypes and cytological findings. Potential errors in ThinPrep cytologic test results further contribute to the study's limitations. Finally, the assumption of comparable infection prevalence throughout the 2011-2024 period may not fully account for the evolving impact of HPV vaccination on non-vaccine- type prevalence. While these limitations exist, this study provides valuable insight into HPV genotype distribution within the target population, informing future policy decisions.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn conclusion, this study contributes valuable insights into HPV prevalence and genotype distribution in samples collected over a 14-year period in Tehran. The high prevalence of HPV infection, particularly with high-risk genotypes like HPV 16, 52, and 31, coupled with the highest prevalence observed in the 20\u0026ndash;30 year age group and HPV-16 being common in younger ages, without clinical sign of infection, underscores the necessity for sustained vigilance and comprehensive cervical cancer prevention strategies. These strategies should encompass targeted education for younger populations, widespread vaccination programs, and consistent screening efforts. While the presented incidences are modeled estimates, the substantial burden of HPV highlights the importance of ongoing monitoring of HPV-associated diseases, including cancers, to inform and refine prevention measures. Future research should focus on genotype-specific risks and outcomes to enable more targeted interventions and ultimately safeguard women's cervical health.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted in a private diagnostic laboratory in Tehran, Iran, over a 14-year period. Written informed consent was obtained from all participants at the time of sample collection. The consent form included permission for the use of biological samples and associated clinical and demographic data (including age, sex, marital status, clinical symptoms, and prior infection history where available) for research purposes.\u003c/p\u003e\n\u003cp\u003eAll data were anonymized prior to analysis, and no personally identifiable information was included in the study. The study was conducted in accordance with national regulations governing the use of anonymized laboratory data.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request. Due to the large volume of data collected over 14 years and the inclusion of clinical information, the datasets are not publicly available. All data have been fully anonymized to protect participant privacy.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eN.H. and B.M. contributed equally to this work and are designated as co-first authors.\u003c/p\u003e\n\u003cp\u003eN.H. contributed to manuscript writing, conducted molecular tests, and collected and analyzed data.\u003c/p\u003e\n\u003cp\u003eB.M. participated in manuscript writing and data collection.\u003c/p\u003e\n\u003cp\u003eF.E. performed molecular tests, collected, and organized the data.\u003c/p\u003e\n\u003cp\u003eA.A.H. and Z.J. were involved in data collection.\u003c/p\u003e\n\u003cp\u003eM.S.H. is the corresponding author, overseeing data analysis, reviewing results, and supervising manuscript writing.\u003c/p\u003e\n\u003cp\u003eAll authors read and approved the final manuscript\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgment\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors would like to thank Dr. Saeed Mahdavi and Dr. Saeed Sabaghi, founders of Saeed Pathobiology and Genetics Laboratory, for their valuable support and collaboration in the execution of this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eWolf J, Kist LF, Pereira SB, Quessada MA, Petek H, Pille A, et al. 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The Journal of infectious diseases. 2009;199(3):362-71.\u003c/li\u003e\n\u003cli\u003eDouglas Jr J, Unger E. Genital human papillomavirus infections. Atlas of Sexually Transmitted Diseases and AIDS E-Book. 2010:186.\u003c/li\u003e\n\u003cli\u003eMao C, Hughes JP, Kiviat N, Kuypers J, Lee S-K, Adam DE, et al. Clinical findings among young women with genital human papillomavirus infection. American journal of obstetrics and gynecology. 2003;188(3):677-84.\u003c/li\u003e\n\u003cli\u003eCuschieri K, Kavanagh K, Sinka K, Robertson C, Cubie H, Moore C, et al. Effect of HPV assay choice on perceived prevalence in a population-based sample. Diagnostic Molecular Pathology. 2013;22(2):85-90.\u003c/li\u003e\n\u003cli\u003eMehta N, Keung MHT, Pineda E, Lynn E, Fetene D, Lee A, et al. Clinical validation of the Roche cobas HPV test on the Roche cobas 5800 system for the purpose of cervical screening. Microbiology Spectrum. 2024;12(10):e01493-24.\u003c/li\u003e\n\u003cli\u003ePesic A, Krings A, Hempel M, Preyer R, Chatzistamatiou K, Agorastos T, et al. CIN2+ detection of the HPV DNA Array genotyping assay in comparison with the Cobas 4800 HPV test and cytology. Virology Journal. 2019;16(1):92.\u003c/li\u003e\n\u003cli\u003eLiang X, Carroll X, Zhang W, Zhang W, Liu G, Li S, et al. Socioeconomic and lifestyle factors associated with HPV infection in pregnant women: a matched case-control study in Beijing, China. Reproductive Health. 2018;15(1):200.\u003c/li\u003e\n\u003c/ol\u003e"}],"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":"virology-journal","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"virj","sideBox":"Learn more about [Virology Journal](http://virologyj.biomedcentral.com/)","snPcode":"12985","submissionUrl":"https://submission.nature.com/new-submission/12985/3","title":"Virology Journal","twitterHandle":"@VirologyJ","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Human papilloma virus, HPV prevalence, Sexually Transmitted Infection (STI), Asymptomatic HPV","lastPublishedDoi":"10.21203/rs.3.rs-8904178/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8904178/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eHuman papillomavirus (HPV) is a highly prevalent sexually transmitted infection in the World, particularly among young adults shortly after they become sexually active. Beyond its commonality, HPV is a significant public health concern due to its carcinogenic potential. Globally, HPV is responsible for a substantial number of cancer cases annually, including the vast majority of cervical cancers, as well as a notable proportion of other anogenital and oropharyngeal cancers.\u003c/p\u003e\u003ch2\u003eMethods:\u003c/h2\u003e \u003cp\u003eThis study examined the demographic characteristics of 6418 individuals (5988 women and 430 men) tested for HPV using data and samples collected from patients visiting a Saeed pathology and genetics laboratory between 2011 to 2024. HPV DNA was extracted from genital samples, representative of both female and male individuals in Tehran, and analyzed for the presence of HPV. Genotyping was performed by real-time PCR and Reverse Hybridization methods for the identification of high-risk (HR) and low-risk (LR) HPV genotypes.\u003c/p\u003e\u003ch2\u003eResult\u003c/h2\u003e \u003cp\u003eHPV prevalence was assessed using four diagnostic methods: INNO-LIPA, HybriSpot, COBAS X480, and Sansure Kit, yielding positive detection rates of 52.5%, 61.5%, 17.2%, and 52.1%, respectively. The proportion of positive HPV test results varied across age groups, with the highest prevalence observed in individuals under 40 years of age. Men referred for HPV testing were more likely to be infected than women (63.3% to 40.8%). The most frequently detected genotypes overall were 6, 16, 52, and 31, in descending order. Notably, 74.4% (517) of patients reported no symptoms and were referred for routine screening. Among HPV-positive individuals, 69.4% (163) were asymptomatic. Conversely, 23.0% (106) of HPV- negative individuals reported at least one clinical symptom. Positive HPV rates were 56.3% and 24.5% in single and married subjects, respectively.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eThis study contributes valuable insights into HPV prevalence and genotype distribution in samples collected over a 14-year period in Tehran. 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