To distinguish solarium use with and without risk behavior on melanoma incidence and all- cause mortality. -A report from the large MISS Cohort

To distinguish solarium use with and without risk behavior on melanoma incidence and all- cause mortality. -A report from the large MISS Cohort | 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 To distinguish solarium use with and without risk behavior on melanoma incidence and all- cause mortality. -A report from the large MISS Cohort Pelle G Lindqvist, Elliot L Epstein, Mona Landin-Olsson This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8981142/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Background: Artificial ultraviolet radiation (UVR) from solarium use has been linked to melanoma in some studies, while others report lower overall mortality. Whether melanoma risk is due to solarium use itself or to associated behaviors indicating intermittent solar overexposure remains unclear. Methods: The Melanoma of Southern Sweden (MISS) cohort included ~ 29,000 women enrolled in 1990 and followed for up to 34 years. Solarium use and sun exposure habits were assessed at baseline and after 10 years. Participants were categorized as non-users, solarium users without, or with indicators of intermittent solar overexposure. Cox proportional hazards models estimated hazard ratios (HRs) for melanoma and all-cause mortality. Sensitivity analyses, attributable risk, and restricted mean survival time (RMST) over 25 years were evaluated. Results: Solarium use without indicators of solar overexposure was not associated with melanoma risk. Solarium users with overexposure indicators had a higher melanoma risk (HR 1.60, 95% CI 1.30–2.00). Both solarium user groups had ~ 18% lower all-cause mortality than non-users. Approximately one-third of melanomas among solarium users was attributable to solar overexposure. Over 25 years, solarium users had an RMST nearly 10 months longer than non-users. Conclusions: Melanoma risk among solarium users appears driven by intermittent solar overexposure rather than solarium use itself, while solarium use was associated with lower all-cause mortality. Our findings indicate that prevention efforts should focus on reducing intermittent UV overexposure behaviors. Solarium sun bed melanoma mortality Cox regression analysis survival Figures Figure 1 Figure 2 1 Introduction Ultraviolet radiation (UVR) has been recognized as a human carcinogen since 1928 [ 1 ]. Consequently, public health efforts have largely focused on reducing UV exposure to lower the risk of skin cancer [ 2 ]. However, UVR also appears to exert biological effects that may influence overall health and mortality. Seasonal variations in disease incidence have long been observed, including a 40–50% higher incidence of cardiovascular disease during winter compared with summer. Initially explained by a temperature hypothesis, this concept was challenged in 1981 by Scragg, who proposed that seasonal variation in UV exposure—possibly mediated through vitamin D—might be responsible [3] . This hypothesis stimulated a large number of observational studies reporting associations between low vitamin D levels and increased morbidity and mortality [4] . However, randomized controlled trials, meta-analyses, and Mendelian randomization studies have consistently shown little or no benefit of vitamin D supplementation on all-cause mortality in the general population [ 5 , 6 ]. In contrast to vitamin D supplementation, most large epidemiological studies of sun exposure have demonstrated an inverse association between sun or UVR exposure and total mortality [ 7 – 9 ]. Intermittent UV overexposure has constantly been associated with increased risk of melanoma [10, 11] . Medical UVB treatment has not been associated with melanoma but has been associated with a lower incidence of cardiovascular events [ 12 , 13 ]. Oral psoralen UVA (PUVA) treatment has been associated with melanoma in some studies, though not in others [ 12 ]. Similarly, solarium use (mainly UVA) has been associated with melanoma in some studies but not consistently across the literature [14] . In the case of PUVA therapy, melanoma risk appears related to the combination of psoralen and UVA exposure, while solarium users are reported to engage in behaviors associated with intermittent solar overexposure [ 12 ]. Thus, the causal relationship between artificial UV exposure from solaria and melanoma remains uncertain, and studies simultaneously assessing both potential harmful and beneficial effects are rare. The Melanoma of Southern Sweden (MISS) cohort, comprising approximately 29,000 women enrolled in 1990, is well suited to investigate the long-term health effects of solarium use, including both melanoma incidence and all-cause mortality [ 8 ] [ 15 ].In the present study, we compare melanoma incidence and all-cause mortality among non-users of solaria and solarium users with and without risk behaviors over a 34-year follow-up period. By distinguishing the effect of solarium use with and without risk behaviors associated with intermittent solar overexposure, we aim to untangle whether melanoma risk is attributable to solarium use per se or to the accompanying solar overexposure behaviors. 2 Methods This study was conducted as a prospective cohort study. Participants were enrolled at baseline 1990 and followed from the date of inclusion until the occurrence of the outcome of melanoma, death, censoring, or the end of the follow-up period (1 January 2025), whichever came first. Information on sun exposure habits and solarium use was collected at baseline using questionnaires during 1990 and in the year 2000. Participants were categorized into three exposure groups: no solarium use, solarium use without indicators of intermittent solar overexposure, and with indicators of intermittent solar overexposure. Indicators of intermittent solar overexposure were defined as at least one of self-reported use of sunscreen to enable prolonged sunbathing, sunburn related to sun exposure, or traveling south at least one week per year for sunbathing. Two outcomes were investigated: 1. Incident melanoma, defined as the first recorded diagnosis of cutaneous malignant melanoma (MM) during the 34-year follow-up. 2. All-cause mortality, defined as death from any cause during follow-up. Age was used as the underlying time scale in all analyses. Participants entered the risk set at their age at baseline and were followed until age at melanoma diagnosis (for melanoma analyses), age at death, or age at censoring due to emigration or end of follow-up, whichever occurred first. Age was chosen as the time scale because it is a strong determinant of both melanoma incidence and mortality, and using age as the underlying time axis allows for a more precise and flexible control of age-related risk than conventional adjustment for baseline age. Lifestyle factors such as physical activity and BMI were considered primarily as potential confounders for all-cause mortality and were therefore included in descriptive analyses and mortality models. A dummy variable, “ comorbidity, ” was created to identify women who had received treatment with antidiabetic drugs [Anatomical Therapeutic Chemical Classification System (ATC) code A10] or anticoagulants (ATC B01) or medications for cardiovascular disease (ATC C01–C10) for a duration exceeding one month. We present in Table 2a Model 1 as crude models with age as the time scale. Model 2, which is our primary model, assessed risk of melanoma and was adjusted for factors known to be associated with melanoma such as red hair and/or freckles, more than 4 raised nevi on the left arm, sunburn during childhood or youth, and first-degree family history of melanoma. In Model 3, the above factors were additionally adjusted for education, family income, smoking, and marital status. Since age was used as the time scale, no additional adjustment for age was included in the models. In Table 2b we present similar models for all-cause mortality, with model 3 as the principal fully adjusted model which also included BMI and exercise. 2.1 Statistical Analysis Associations between no solarium use, solarium use without risk behaviors and solarium use with risk behaviors (increased probability of overexposure), and the outcomes were assessed using Cox proportional hazards regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CI) for melanoma risk and all-cause mortality. Age was used as the underlying time scale. The proportional hazards assumption was assessed through inspection of effect stability across follow-up time and sensitivity analyses with delayed entry and exclusion of early follow-up. No evidence of meaningful non-proportionality was observed. To complement relative risk estimates from Cox proportional hazards models, an absolute measure of survival was estimated using restricted mean survival time (RMST). RMST was calculated as the area under the Kaplan–Meier survival curves up to 25 years of follow-up. Survival curves were estimated using time since inclusion as the time scale, and RMST was computed separately for solarium users and non-users. The difference in RMST between groups was used to express absolute differences in survival time over the restricted follow-up period. Several sensitivity analyses were conducted to assess the robustness of the findings and to address potential sources of bias. First, to evaluate the impact of potential changes in solarium use over time, follow-up was censored at 10 years after inclusion, corresponding to the time point when updated information on solarium habits was available for a subset of participants. Second, to reduce the potential influence of reverse causation, analyses were repeated after excluding women with comorbidity. Third, to further address possible reverse causation and preclinical disease influencing exposure behavior, analyses were conducted excluding the first 5 years of follow-up. All sensitivity analyses used Cox proportional hazards models with age as the underlying time scale and delayed entry at age at inclusion. The attributable fraction of overexposure among solarium users was estimated using the adjusted hazard ratios from Cox regression models, assuming a causal interpretation of the association between UV overexposure and melanoma risk (HR_risk minus HR_no_risk) / HR_risk) and expressed as a percentage). All statistical analyses were performed using IBM SPSS software version 26. Figures were created using Python. P -values < 0.05 were considered significant. 3 Results In Table 1 we present characteristics of the study population by categorized solarium use; no solarium, solarium without risk behavior or solarium use with indicators of risk behavior (intermittent solar overexposure). We can see that solarium users were younger, wealthier, had lower BMI, were more physically active, had less comorbidity, and reported greater sun exposure habits. There were minor differences regarding known melanoma risk factors, except that solarium users more frequently had fair skin. In Fig. 1 we show fully adjusted HR of melanoma and all-cause mortality by solarium use. Table 2a and Fig. 2 shows the main results for melanoma incidence. Women who reported no solarium use and women who used solarium without risk behavior had similar melanoma risk, whereas solarium users with risk behavior had a 60% higher risk (HR 1.60, 95% CI 1.30–2.00). Estimates were similar after censoring follow-up at five years (HR 1.10, 95% CI 0.90–1.34 for solarium use without risk behavior, and HR 1.65, 95% CI 1.33–2.04 for solarium use with risk behavior) and after exclusion of women with comorbidity at baseline (HR 1.08, 95% CI 0.88–1.32 and HR 1.62, 95% CI 1.31–2.01, respectively). When analyses were restricted to women who responded to the second questionnaire and updated information on solarium use (approximately in 2001), effect estimates for melanoma were slightly higher (HR 1.14, 95% CI 0.89–1.47 and HR 1.96, 95% CI 1.54–2.49, respectively). Under a causal assumption, the attributable fraction of melanoma risk due to solar overexposure among solarium users was estimated to be 33%, calculated as (1.60 ‒ 1.07)/ 1.60. Table 2b and Fig. 2 shows the main results for all-cause mortality. Compared with women who reported no solarium use, solarium users without and with risk behavior had an approximately 18% lower risk of all-cause mortality (HR 0.83, 95% CI 0.77–0.88 and HR 0.81, 95% CI 0.76–0.87, respectively). To provide an absolute measure of this association, restricted mean survival time over 25 years of follow-up was estimated. Restricted mean survival was 23.96 years among solarium users and 23.12 years among non-users, corresponding to an absolute difference of approximately 10 months. When analyses were restricted to women who responded to the second questionnaire and updated solarium use, effect estimates were similar to those of the main analysis (HR 0.83, 95% CI 0.77–0.90 and HR 0.83, 95% CI 0.75–0.91, respectively). Table S1 presents the crude estimates for the individual indicators of intermittent solar overexposure. The associations were generally consistent in direction and size, supporting their use as a composite exposure. The composite exposure comprised three behaviors reflecting higher probability of intermittent solar overexposure. 4 Discussion 4.1 Main Results Compared with participants who did not use solarium, those reporting solarium use with indicators of UV overexposure had a significantly increased risk of melanoma, whereas no clear association was observed among solarium users without indicators of intermittent solar overexposure. In addition, both groups of solarium users were at a significantly approximately 18% reduced risk of all-cause mortality compared with non-users of solarium during the 34-year follow-up. Thus, intermittent solar overexposure did not additionally improve all-cause mortality but increased melanoma risk. The associations between solarium use and both melanoma and all-cause mortality risk were robust across multiple sensitivity analyses, with hazard ratios of similar magnitude and direction in all models. Thus, adjustment for known confounders changed effect estimates only modestly. Among participants reporting solarium use, an estimated 33% of melanoma cases were attributable to behaviors indicative of intermittent solar overexposure. These estimates of attributable fraction should be interpreted as indicative of the potential proportion of melanoma cases among solarium users that might be preventable by avoiding exposure practices associated with intermittent solar overexposure, rather than as definitive causal effects. In addition to relative hazard ratios, we estimated restricted mean survival time to provide an absolute measure of the association between solarium use and all-cause mortality. Over 25 years of follow-up, solarium users had an approximately 10-month longer restricted mean survival compared with non-users, or one year during the 34-year follow-up. This absolute difference illustrates that the observed 18% lower hazard of death corresponds to a difference in survival time at the population level. As with the relative estimates, this finding should be interpreted cautiously, as residual confounding and lifestyle-related factors associated with solarium use may partly explain the observed difference rather than a causal protective effect. 4.2 Relation to other findings In line with our findings there is an emerging body of observational evidence that UV exposure is not only related to an increased risk of skin cancer, but also a reduced rate of cancer mortality and all-cause mortality [ 7 – 9 ]. In agreement with this, it has been suggested that the International Agency for Research on Cancer (IARC) classification should be refined to state that excessive UVR exposure, rather than UVR per se, constitutes a Group 1 human carcinogen [ 16 ]. Our main conclusions in line with the recent World Health Organization's recommendations‒“avoid too much sun exposure”‒, but not in accordance to their recommendation to “never use sun beds” [ 17 ]. However, the recent European Code Against Cancer 5 (ECAC5) state a more nuanced message, that “solar UVR, and to a lesser extent, artificial UVR exposure are major causes of skin cancer” [ 18 ]. In this paper we differentiated solarium use against solarium use with solar overexposure. We did not assess any difference between moderate solarium use and solarium overexposure. Consistent with our findings, other studies have reported solarium users to be younger, smokers, better educated, to have more nevi, fair skin, and to use more alcohol [ 19 , 20 ]. 4.3 Strength and Limitations The consistency of results across cause-specific Cox models and multiple sensitivity analyses supports the robustness of the findings. The use of age as the underlying time scale and the broad adjustment for known and potential risk factors represent important methodological strengths. A further strength is that our HR for solarium use and melanoma incidence, 1.28, 95% CI 1.09‒1.51, without adjustment for solar risk behavior, was almost identical to that reported in the recent ECAC5 report (1.27, 95% CI 1.16‒1.39) [ 18 ]. HRs should nevertheless be interpreted cautiously. Although sensitivity analyses reduced the likelihood of reverse causation, changes in exposure over time, and healthy user bias, the observed lower all-cause mortality among indoor solarium users may still be influenced by residual confounding rather than reflecting a causal protective effect of solarium use. Long-term cohort studies examining the nuanced effects of UV exposure remain underfunded compared with studies focusing only on risk amplification. This imbalance may contribute to a structural publication bias, where some research questions are more frequently tested and disseminated than others. Solarium use and sun exposure habits were self-reported and assessed at discrete time points, which may have resulted in some exposure misclassification. However, analyses that censored follow-up and restricted the sample to participants with updated exposure information yielded similar results, suggesting that such misclassification is unlikely to fully explain the findings. Because we included only women aged 25 years and older, our results cannot be generalized to younger women. Previous studies have reported associations between UV exposure and hormonal and behavioral factors, including reproductive hormones and sexual activity, which may partly contribute to the observed mortality differences [ 21 ]. These factors could not be accounted for in the present analyses. In this study, we sought to distinguish between solarium UV exposure and solar UV-related behavior. By categorizing all solarium use as dangerous, important harmful sun behaviors‒which might represent the true risk factors‒could be overlooked. 5 Conclusions Our findings indicate that solarium use per se was not associated with an increased risk of melanoma; instead, the excess risk observed among solarium users appeared to be attributable to behaviors indicative of intermittent solar overexposure. At the same time, solarium users exhibited lower all-cause mortality, underscoring that different patterns of UV exposure may be associated with divergent health outcomes. Taken together, these findings suggest that preventive efforts should prioritize reducing intermittent solar UV overexposure rather than targeting solarium use per se. Declarations Competing interest The authors report no competing interests Ethical approval The study was approved by the Ethics Committee of Lund University (LU 632-03) and later amendments Funding Skårmans Stiftelse (PL), Swedish Research Council 2019–06121(PL) Author Contribution PL prepared the Original draft of the manuscript and analysis. ELE prepared figures in Python. All authors reviewed, edited, and approved the final manuscript. Data Availability We do not have ethical permission to share data References Findlay, G. M. (1928). ULTRA-VIOLET LIGHT AND SKIN CANCER. Lancet , 212 (5491), 1070–1073. Augustin, M., & Del Marmol, V. (2019). Sunbeds: An international common concern. Journal Of The European Academy Of Dermatology And Venereology , 33 (Suppl 2), 5. 10.1111/jdv.15410 Scragg, R. (1981). Seasonality of cardiovascular disease mortality and the possible protective effect of ultra-violet radiation. International Journal Of Epidemiology , 10 (4), 337–341. Zittermann, A., Trummer, C., Theiler-Schwetz, V., Lerchbaum, E., Marz, W., & Pilz, S. (2021). Vitamin D and Cardiovascular Disease: An Updated Narrative Review. International journal of molecular sciences , 22 (6). 10.3390/ijms22062896 Cheng, X., Chen, Z., Fang, Y., Zhang, Q., Chen, B., Xi, W., Pan, Z., & Guo, L. (2025). Effect of vitamin D supplementation for major adverse cardiovascular events: a meta-analysis based on randomised controlled trials. British Journal Of Nutrition , 134 (2), 124–133. 10.1017/S0007114525103954 Kiely, M., Brennan, L., Dunlop, T., Tate, G., Woodside, J. V., Moretti, D., & Working Group 1 of the Federation of European Nutrition Societies Presidential. (2025). Prevention of chronic disease using vitamins-a case study of the vitamin D and cardiovascular disease hypothesis using evidence from randomised controlled and prospective cohort studies. European Journal Of Nutrition , 64 (5), 199. 10.1007/s00394-025-03706-w Yang, L., Lof, M., Veierod, M. B., Sandin, S., Adami, H. O., & Weiderpass, E. (2011). Ultraviolet exposure and mortality among women in Sweden. Cancer Epidemiology, Biomarkers & Prevention , 20 (4), 683–690. 10.1158/1055-9965.EPI-10-0982 Lindqvist, P. G., Epstein, E., Nielsen, K., Landin-Olsson, M., Ingvar, C., & Olsson, H. (2016). Avoidance of sun exposure as a risk factor for major causes of death: a competing risk analysis of the Melanoma in Southern Sweden cohort. Journal Of Internal Medicine , 280 , 375–387. 10.1111/joim.12496 Stevenson, A. C., Clemens, T., Pairo-Castineira, E., Webb, D. J., Weller, R. B., & Dibben, C. (2024). Higher ultraviolet light exposure is associated with lower mortality: An analysis of data from the UK biobank cohort study. Health & Place , 89 , 103328. 10.1016/j.healthplace.2024.103328 Gandini, S., Sera, F., Cattaruzza, M. S., Pasquini, P., Picconi, O., Boyle, P., & Melchi, C. F. (2005). Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure. European Journal Of Cancer , 41 (1), 45–60. 10.1016/j.ejca.2004.10.016 Elwood, J. M., & Jopson, J. (1997). Melanoma and sun exposure: an overview of published studies. Int J Cancer 73(2): 198–203. DOI: 10.1002/(SICI)1097-0215(19971009)73:23.0.CO;2-R [pii] Archier, E., Devaux, S., Castela, E., Gallini, A., Aubin, F., Le Maitre, M., Aractingi, S., Bachelez, H., Cribier, B., Joly, P., Jullien, D., Misery, L., Paul, C., Ortonne, J. P., & Richard, M. A. (2012). Carcinogenic risks of psoralen UV-A therapy and narrowband UV-B therapy in chronic plaque psoriasis: a systematic literature review. Journal Of The European Academy Of Dermatology And Venereology , 26 (Suppl 3), 22–31. 10.1111/j.1468-3083.2012.04520.x Bae, J. M., Kim, Y. S., Choo, E. H., Kim, M. Y., Lee, J. Y., Kim, H. O., & Park, Y. M. (2021). Both cardiovascular and cerebrovascular events are decreased following long-term narrowband ultraviolet B phototherapy in patients with vitiligo: a propensity score matching analysis. Journal Of The European Academy Of Dermatology And Venereology , 35 (1), 222–229. 10.1111/jdv.16830 Reichrath, J., Lindqvist, P. G., Pilz, S., Marz, W., Grant, W. B., Holick, M. F., & FR, D. E. G. (2020). Sunbeds and Melanoma Risk: Many Open Questions, Not Yet Time to Close the Debate. Anticancer Research , 40 (1), 501–509. 10.21873/anticanres.13978 Lindqvist, P. G., Epstein, E., Landin-Olsson, M., Ingvar, C., Nielsen, K., Stenbeck, M., & Olsson, H. (2014). Avoidance of sun exposure is a risk factor for all-cause mortality: results from the Melanoma in Southern Sweden cohort. Journal Of Internal Medicine , 276 (1), 77–86. 10.1111/joim.12251 Burgard, B., Schope, J., Holzschuh, I., Schiekofer, C., Reichrath, S., Stefan, W., Pilz, S., Ordonez-Mena, J., Marz, W., Vogt, T., & Reichrath, J. (2018). Solarium Use and Risk for Malignant Melanoma: Meta-analysis and Evidence-based Medicine Systematic Review. Anticancer Research , 38 (2), 1187–1199. 10.21873/anticanres.12339 Organization, W. H. (2026). European Code Against Cancer, 5th edition. 14 ways you can help to prevent cancer. Ritchie, D., Crowley, Q., Greinert, R., Albin, M., Baldi, I., Consonni, D., Fervers, B., Hoek, G., Jochems, S. H. J., Roosli, M., van Tongeren, M., Vilahur, N., Feliu, A., Zeeb, H., Schuz, J., D'Souza, E., Espina, C., & Kromhout, H. (2026). European Code Against Cancer, 5th edition - ultraviolet radiation, radon and cancer. Molecular oncology 20(1): 49–67. 10.1002/1878-0261.70171 Mastroeni, S., Sampogna, F., Salcedo, N. M., Ricci, F., Fania, L., Antonelli, F., Abeni, D., & Cristofolini, M. (2021). Factors associated with sunbed use among 3692 outpatients in 18 centers of the Italian Cancer League (LILT). Scientific reports 11(1): 23180. 10.1038/s41598-021-02026-3 Williams Merten, J., King, J. L., Walsh-Childers, K., Vilaro, M. J., & Pomeranz, J. L. (2017). Skin Cancer Risk and Other Health Risk Behaviors: A Scoping Review. American Journal Of Lifestyle Medicine , 11 (2), 182–196. 10.1177/1559827615594350 Parikh, R., Sorek, E., Parikh, S., Michael, K., Bikovski, L., Tshori, S., Shefer, G., Mingelgreen, S., Zornitzki, T., Knobler, H., Chodick, G., Mardamshina, M., Boonman, A., Kronfeld-Schor, N., Bar-Joseph, H., Ben-Yosef, D., Amir, H., Pavlovsky, M., Matz, H., Ben-Dov, T., Golan, T., Nizri, E., Liber, D., Liel, Y., Brenner, R., Gepner, Y., Karnieli-Miller, O., Hemi, R., Shalgi, R., Kimchi, T., Percik, R., Weller, A., & Levy, C. (2021). Skin exposure to UVB light induces a skin-brain-gonad axis and sexual behavior. Cell reports , 36 (8), 109579. 10.1016/j.celrep.2021.109579 Tables Table 1 Characteristics of study population according to categorized solarium use Solarium use No solarium use Solarium use Solarium use No risk behaviour Risk behaviour Demographics Age at inclusion 48.9 11.8 42.6 11.0 42.1 11.2 Education 12 years 5069 31.8% 2980 34.2% 1648 33.8% other 2049 12.9% 1124 12.9% 633 13.0% Marital status Married 12618 79.1% 6670 76.6% 3722 76.4% Family income Low 4402 27.6% 1334 15.3% 712 14.6% middle 4599 28.8% 2827 32.5% 1487 30.5% High 6941 43.5% 4545 52.2% 2671 54.8% Smoking 5064 31.8% 3823 43.9% 2212 45.4% BMI 30 1561 9.8% 585 6.7% 332 6.8% ? 4238 26.6% 2129 24.5% 810 16.6% Exercise low 3092 19.4% 1745 20.0% 583 12.0% Moderate 6824 42.8% 3811 43.8% 2230 45.8% Active 3631 22.8% 2454 28.2% 1615 33.2% ? 2395 15.0% 696 8.0% 442 9.1% Melanoma risk factors Red hair and/or Freckles 6397 40.1% 3917 45.0% 2222 45.6% Number of raised navi left arm >4 141 0.9% 84 1.0% 38 0.8% Heredity of melanoma 623 3.9% 350 4.0% 159 3.3% Sunburn Childhood 5086 31.9% 2989 34.3% 1817 37.3% Sunburn Youth 7308 45.8% 4436 51.0% 2644 54.3% Sun exposure habits Sunbathing Winter vaccation 1853 11.6% 2082 23.9% 1518 31.2% Sunbathing Summer 14006 87.9% 8548 98.2% 4820 99.0% Comorbidity at inception 2003 12.6% 589 6.8% 330 6.8% Number and percentage or mean and standard deviations (SD) are given Risk behavior was defined as a measure of solar overexposure i.e. at least one of , burn when sun exposing, use of sunscreen to enable prolonged sunbathing, and traveling south at least one week a year Heredity = First degree heredity, Red hair and/or freckles as a measure of type 1 skin Number of navi = number of raised nevi on left arm Comorbidity defined as having recieved antidiabetics, antikoagulants or cardiovascular medication more than one month Additional Declarations No competing interests reported. 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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-8981142","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":601348038,"identity":"b036944b-d68d-459a-b429-d135e450d425","order_by":0,"name":"Pelle G Lindqvist","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8UlEQVRIie3QMQrCMBSA4VcCuvQAEaVe4UkHFQSv0uDgooOLOD4R6tIDKIJncHJuyOAiuDrWxbng0iGDQRHUIXV0yE8IZPh4SQBcrj+sT2yeAnR8gOixAs5KCKYeGcJfBMOfCTyIOYtV2cXwMKc0B95oVwd7nmk9XC+B5bntLYkkuTIX6ybXKRcxjjcMKjXbKOSClG8InkchCsLx1hDm20jzQkq/SKRxGDBgN22d4pGCJ2llUQWjuvmxuvX5viCZoCHH6yQTcdhaL7y4lthIVcmsmPX6eBjsZKGDJj8plRe2MU/4tgN4VAo+ocvlcrm+uwP01Ew1MFCv2QAAAABJRU5ErkJggg==","orcid":"","institution":"Karolinska Institutet, SÖS","correspondingAuthor":true,"prefix":"","firstName":"Pelle","middleName":"G","lastName":"Lindqvist","suffix":""},{"id":601348039,"identity":"2f9ea4ad-09c2-46ef-8012-2cfb1176fd34","order_by":1,"name":"Elliot L Epstein","email":"","orcid":"","institution":"Stanford University","correspondingAuthor":false,"prefix":"","firstName":"Elliot","middleName":"L","lastName":"Epstein","suffix":""},{"id":601348040,"identity":"550949d1-3f44-4fcb-a991-9fc2cd3f59a8","order_by":2,"name":"Mona Landin-Olsson","email":"","orcid":"","institution":"Lund University","correspondingAuthor":false,"prefix":"","firstName":"Mona","middleName":"","lastName":"Landin-Olsson","suffix":""}],"badges":[],"createdAt":"2026-02-26 19:53:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8981142/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8981142/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":104346329,"identity":"8f827321-0573-43af-ba92-8219c0ed19ec","added_by":"auto","created_at":"2026-03-10 17:47:46","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":25188,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHazard ratios for melanoma incidence and all-cause mortality according to solarium use\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 1.\u003c/strong\u003e\u003cbr\u003e\n Hazard ratios (HRs) and 95% confidence intervals (CIs) for melanoma incidence and all-cause mortality according to solarium use estimates are derived from Cox proportional hazards models with age as the underlying time scale and adjusted for established melanoma risk factors and socioeconomic and lifestyle variables as described in the Methods. The vertical dashed line indicates HR = 1.0.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8981142/v1/02b6cae9122353f33311167e.jpg"},{"id":104346331,"identity":"a22989d6-cebc-4ce2-8d7e-152c86a714a7","added_by":"auto","created_at":"2026-03-10 17:47:47","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":65151,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHazard ratios for melanoma incidence and all-cause mortality according to categorized solarium use\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 2.\u003c/strong\u003e\u003cbr\u003e\n Hazard ratios (HRs) and 95% confidence intervals (CIs) for \u003cstrong\u003e(A)\u003c/strong\u003e melanoma incidence and \u003cstrong\u003e(B)\u003c/strong\u003e all-cause mortality according to solarium use, categorized as no solarium use (reference), solarium use without indicators of intermittent solar overexposure, and solarium use with indicators of intermittent solar overexposure. Estimates are derived from Cox proportional hazards models with age as the underlying time scale and adjusted for established melanoma risk factors and socioeconomic and lifestyle variables as described in the Methods. The vertical dashed line indicates HR = 1.0.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8981142/v1/e8677215c00aba7096a10467.jpg"},{"id":104409524,"identity":"ab72cd23-a127-46af-9261-29a787ad09ad","added_by":"auto","created_at":"2026-03-11 12:45:36","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":860347,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8981142/v1/04147f45-7a6a-40d7-ac62-4d5d6787af04.pdf"},{"id":104405632,"identity":"a68ae6c7-ed23-4e4c-8910-126446503a28","added_by":"auto","created_at":"2026-03-11 12:23:30","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":17782,"visible":true,"origin":"","legend":"","description":"","filename":"supplementarytable.docx","url":"https://assets-eu.researchsquare.com/files/rs-8981142/v1/bc49e004fd2001d526e067f0.docx"},{"id":104346328,"identity":"0972635e-b157-48e1-b5ee-b3e3740943d5","added_by":"auto","created_at":"2026-03-10 17:47:46","extension":"jpg","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":70286,"visible":true,"origin":"","legend":"","description":"","filename":"graphicalabstract.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8981142/v1/f73addfe92e533298db05c03.jpg"}],"financialInterests":"No competing interests reported.","formattedTitle":"To distinguish solarium use with and without risk behavior on melanoma incidence and all- cause mortality. -A report from the large MISS Cohort","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003eUltraviolet radiation (UVR) has been recognized as a human carcinogen since 1928 [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Consequently, public health efforts have largely focused on reducing UV exposure to lower the risk of skin cancer [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. However, UVR also appears to exert biological effects that may influence overall health and mortality. Seasonal variations in disease incidence have long been observed, including a 40\u0026ndash;50% higher incidence of cardiovascular disease during winter compared with summer. Initially explained by a temperature hypothesis, this concept was challenged in 1981 by Scragg, who proposed that seasonal variation in UV exposure\u0026mdash;possibly mediated through vitamin D\u0026mdash;might be responsible \u003csup\u003e[3]\u003c/sup\u003e. This hypothesis stimulated a large number of observational studies reporting associations between low vitamin D levels and increased morbidity and mortality \u003csup\u003e[4]\u003c/sup\u003e. However, randomized controlled trials, meta-analyses, and Mendelian randomization studies have consistently shown little or no benefit of vitamin D supplementation on all-cause mortality in the general population [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. In contrast to vitamin D supplementation, most large epidemiological studies of sun exposure have demonstrated an inverse association between sun or UVR exposure and total mortality [\u003cspan additionalcitationids=\"CR8\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eIntermittent UV overexposure has constantly been associated with increased risk of melanoma \u003csup\u003e[10, 11]\u003c/sup\u003e. Medical UVB treatment has not been associated with melanoma but has been associated with a lower incidence of cardiovascular events [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Oral psoralen UVA (PUVA) treatment has been associated with melanoma in some studies, though not in others [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Similarly, solarium use (mainly UVA) has been associated with melanoma in some studies but not consistently across the literature \u003csup\u003e[14]\u003c/sup\u003e. In the case of PUVA therapy, melanoma risk appears related to the combination of psoralen and UVA exposure, while solarium users are reported to engage in behaviors associated with intermittent solar overexposure [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Thus, the causal relationship between artificial UV exposure from solaria and melanoma remains uncertain, and studies simultaneously assessing both potential harmful and beneficial effects are rare.\u003c/p\u003e \u003cp\u003eThe Melanoma of Southern Sweden (MISS) cohort, comprising approximately 29,000 women enrolled in 1990, is well suited to investigate the long-term health effects of solarium use, including both melanoma incidence and all-cause mortality [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e] [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e].In the present study, we compare melanoma incidence and all-cause mortality among non-users of solaria and solarium users with and without risk behaviors over a 34-year follow-up period.\u003c/p\u003e \u003cp\u003eBy distinguishing the effect of solarium use with and without risk behaviors associated with intermittent solar overexposure, we aim to untangle whether melanoma risk is attributable to solarium use per se or to the accompanying solar overexposure behaviors.\u003c/p\u003e"},{"header":"2 Methods","content":"\u003cp\u003eThis study was conducted as a prospective cohort study. Participants were enrolled at baseline 1990 and followed from the date of inclusion until the occurrence of the outcome of melanoma, death, censoring, or the end of the follow-up period (1 January 2025), whichever came first. Information on sun exposure habits and solarium use was collected at baseline using questionnaires during 1990 and in the year 2000. Participants were categorized into three exposure groups: no solarium use, solarium use without indicators of intermittent solar overexposure, and with indicators of intermittent solar overexposure. Indicators of intermittent solar overexposure were defined as at least one of self-reported use of sunscreen to enable prolonged sunbathing, sunburn related to sun exposure, or traveling south at least one week per year for sunbathing.\u003c/p\u003e \u003cp\u003eTwo outcomes were investigated: 1. Incident melanoma, defined as the first recorded diagnosis of cutaneous malignant melanoma (MM) during the 34-year follow-up. 2. All-cause mortality, defined as death from any cause during follow-up.\u003c/p\u003e \u003cp\u003eAge was used as the underlying time scale in all analyses. Participants entered the risk set at their age at baseline and were followed until age at melanoma diagnosis (for melanoma analyses), age at death, or age at censoring due to emigration or end of follow-up, whichever occurred first. Age was chosen as the time scale because it is a strong determinant of both melanoma incidence and mortality, and using age as the underlying time axis allows for a more precise and flexible control of age-related risk than conventional adjustment for baseline age. Lifestyle factors such as physical activity and BMI were considered primarily as potential confounders for all-cause mortality and were therefore included in descriptive analyses and mortality models. A dummy variable, \u003cb\u003e\u0026ldquo;\u003c/b\u003ecomorbidity, \u003cb\u003e\u0026rdquo;\u003c/b\u003e was created to identify women who had received treatment with antidiabetic drugs [Anatomical Therapeutic Chemical Classification System (ATC) code A10] or anticoagulants (ATC B01) or medications for cardiovascular disease (ATC C01\u0026ndash;C10) for a duration exceeding one month.\u003c/p\u003e \u003cp\u003eWe present in Table\u0026nbsp;2a Model 1 as crude models with age as the time scale. Model 2, which is our primary model, assessed risk of melanoma and was adjusted for factors known to be associated with melanoma such as red hair and/or freckles, more than 4 raised nevi on the left arm, sunburn during childhood or youth, and first-degree family history of melanoma. In Model 3, the above factors were additionally adjusted for education, family income, smoking, and marital status. Since age was used as the time scale, no additional adjustment for age was included in the models.\u003c/p\u003e \u003cp\u003eIn Table\u0026nbsp;2b we present similar models for all-cause mortality, with model 3 as the principal fully adjusted model which also included BMI and exercise.\u003c/p\u003e \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Statistical Analysis\u003c/h2\u003e \u003cp\u003eAssociations between no solarium use, solarium use without risk behaviors and solarium use with risk behaviors (increased probability of overexposure), and the outcomes were assessed using Cox proportional hazards regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CI) for melanoma risk and all-cause mortality. Age was used as the underlying time scale. The proportional hazards assumption was assessed through inspection of effect stability across follow-up time and sensitivity analyses with delayed entry and exclusion of early follow-up. No evidence of meaningful non-proportionality was observed. To complement relative risk estimates from Cox proportional hazards models, an absolute measure of survival was estimated using restricted mean survival time (RMST). RMST was calculated as the area under the Kaplan\u0026ndash;Meier survival curves up to 25 years of follow-up. Survival curves were estimated using time since inclusion as the time scale, and RMST was computed separately for solarium users and non-users. The difference in RMST between groups was used to express absolute differences in survival time over the restricted follow-up period.\u003c/p\u003e \u003cp\u003eSeveral sensitivity analyses were conducted to assess the robustness of the findings and to address potential sources of bias. First, to evaluate the impact of potential changes in solarium use over time, follow-up was censored at 10 years after inclusion, corresponding to the time point when updated information on solarium habits was available for a subset of participants. Second, to reduce the potential influence of reverse causation, analyses were repeated after excluding women with comorbidity. Third, to further address possible reverse causation and preclinical disease influencing exposure behavior, analyses were conducted excluding the first 5 years of follow-up. All sensitivity analyses used Cox proportional hazards models with age as the underlying time scale and delayed entry at age at inclusion.\u003c/p\u003e \u003cp\u003eThe attributable fraction of overexposure among solarium users was estimated using the adjusted hazard ratios from Cox regression models, assuming a causal interpretation of the association between UV overexposure and melanoma risk (HR_risk minus HR_no_risk) / HR_risk) and expressed as a percentage). All statistical analyses were performed using IBM SPSS software version 26. Figures were created using Python. \u003cem\u003eP\u003c/em\u003e-values\u0026thinsp;\u0026lt;\u0026thinsp;0.05 were considered significant.\u003c/p\u003e \u003c/div\u003e"},{"header":"3 Results","content":"\u003cp\u003eIn Table\u0026nbsp;1 we present characteristics of the study population by categorized solarium use; no solarium, solarium without risk behavior or solarium use with indicators of risk behavior (intermittent solar overexposure). We can see that solarium users were younger, wealthier, had lower BMI, were more physically active, had less comorbidity, and reported greater sun exposure habits. There were minor differences regarding known melanoma risk factors, except that solarium users more frequently had fair skin. In Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e1\u003c/span\u003e we show fully adjusted HR of melanoma and all-cause mortality by solarium use.\u003c/p\u003e \u003cp\u003eTable\u0026nbsp;2a and Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows the main results for melanoma incidence. Women who reported no solarium use and women who used solarium without risk behavior had similar melanoma risk, whereas solarium users with risk behavior had a 60% higher risk (HR 1.60, 95% CI 1.30\u0026ndash;2.00). Estimates were similar after censoring follow-up at five years (HR 1.10, 95% CI 0.90\u0026ndash;1.34 for solarium use without risk behavior, and HR 1.65, 95% CI 1.33\u0026ndash;2.04 for solarium use with risk behavior) and after exclusion of women with comorbidity at baseline (HR 1.08, 95% CI 0.88\u0026ndash;1.32 and HR 1.62, 95% CI 1.31\u0026ndash;2.01, respectively). When analyses were restricted to women who responded to the second questionnaire and updated information on solarium use (approximately in 2001), effect estimates for melanoma were slightly higher (HR 1.14, 95% CI 0.89\u0026ndash;1.47 and HR 1.96, 95% CI 1.54\u0026ndash;2.49, respectively). Under a causal assumption, the attributable fraction of melanoma risk due to solar overexposure among solarium users was estimated to be 33%, calculated as (1.60 ‒ 1.07)/ 1.60.\u003c/p\u003e \u003cp\u003eTable\u0026nbsp;2b and Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows the main results for all-cause mortality. Compared with women who reported no solarium use, solarium users without and with risk behavior had an approximately 18% lower risk of all-cause mortality (HR 0.83, 95% CI 0.77\u0026ndash;0.88 and HR 0.81, 95% CI 0.76\u0026ndash;0.87, respectively). To provide an absolute measure of this association, restricted mean survival time over 25 years of follow-up was estimated. Restricted mean survival was 23.96 years among solarium users and 23.12 years among non-users, corresponding to an absolute difference of approximately 10 months. When analyses were restricted to women who responded to the second questionnaire and updated solarium use, effect estimates were similar to those of the main analysis (HR 0.83, 95% CI 0.77\u0026ndash;0.90 and HR 0.83, 95% CI 0.75\u0026ndash;0.91, respectively).\u003c/p\u003e \u003cp\u003eTable S1 presents the crude estimates for the individual indicators of intermittent solar overexposure. The associations were generally consistent in direction and size, supporting their use as a composite exposure. The composite exposure comprised three behaviors reflecting higher probability of intermittent solar overexposure.\u003c/p\u003e"},{"header":"4 Discussion","content":"\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e4.1 Main Results\u003c/h2\u003e \u003cp\u003eCompared with participants who did not use solarium, those reporting solarium use with indicators of UV overexposure had a significantly increased risk of melanoma, whereas no clear association was observed among solarium users without indicators of intermittent solar overexposure. In addition, both groups of solarium users were at a significantly approximately 18% reduced risk of all-cause mortality compared with non-users of solarium during the 34-year follow-up. Thus, intermittent solar overexposure did not additionally improve all-cause mortality but increased melanoma risk. The associations between solarium use and both melanoma and all-cause mortality risk were robust across multiple sensitivity analyses, with hazard ratios of similar magnitude and direction in all models. Thus, adjustment for known confounders changed effect estimates only modestly.\u003c/p\u003e \u003cp\u003eAmong participants reporting solarium use, an estimated 33% of melanoma cases were attributable to behaviors indicative of intermittent solar overexposure. These estimates of attributable fraction should be interpreted as indicative of the potential proportion of melanoma cases among solarium users that might be preventable by avoiding exposure practices associated with intermittent solar overexposure, rather than as definitive causal effects.\u003c/p\u003e \u003cp\u003eIn addition to relative hazard ratios, we estimated restricted mean survival time to provide an absolute measure of the association between solarium use and all-cause mortality. Over 25 years of follow-up, solarium users had an approximately 10-month longer restricted mean survival compared with non-users, or one year during the 34-year follow-up. This absolute difference illustrates that the observed 18% lower hazard of death corresponds to a difference in survival time at the population level. As with the relative estimates, this finding should be interpreted cautiously, as residual confounding and lifestyle-related factors associated with solarium use may partly explain the observed difference rather than a causal protective effect.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Relation to other findings\u003c/h2\u003e \u003cp\u003eIn line with our findings there is an emerging body of observational evidence that UV exposure is not only related to an increased risk of skin cancer, but also a reduced rate of cancer mortality and all-cause mortality [\u003cspan additionalcitationids=\"CR8\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. In agreement with this, it has been suggested that the International Agency for Research on Cancer (IARC) classification should be refined to state that \u003cem\u003eexcessive\u003c/em\u003e UVR exposure, rather than UVR per se, constitutes a Group 1 human carcinogen [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Our main conclusions in line with the recent World Health Organization's recommendations‒\u0026ldquo;avoid too much sun exposure\u0026rdquo;‒, but not in accordance to their recommendation to \u0026ldquo;never use sun beds\u0026rdquo; [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. However, the recent European Code Against Cancer 5 (ECAC5) state a more nuanced message, that \u0026ldquo;solar UVR, and to a lesser extent, artificial UVR exposure are major causes of skin cancer\u0026rdquo; [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. In this paper we differentiated solarium use against solarium use with solar overexposure. We did not assess any difference between moderate solarium use and solarium overexposure.\u003c/p\u003e \u003cp\u003eConsistent with our findings, other studies have reported solarium users to be younger, smokers, better educated, to have more nevi, fair skin, and to use more alcohol [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Strength and Limitations\u003c/h2\u003e \u003cp\u003eThe consistency of results across cause-specific Cox models and multiple sensitivity analyses supports the robustness of the findings. The use of age as the underlying time scale and the broad adjustment for known and potential risk factors represent important methodological strengths. A further strength is that our HR for solarium use and melanoma incidence, 1.28, 95% CI 1.09‒1.51, without adjustment for solar risk behavior, was almost identical to that reported in the recent ECAC5 report (1.27, 95% CI 1.16‒1.39) [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. HRs should nevertheless be interpreted cautiously. Although sensitivity analyses reduced the likelihood of reverse causation, changes in exposure over time, and healthy user bias, the observed lower all-cause mortality among indoor solarium users may still be influenced by residual confounding rather than reflecting a causal protective effect of solarium use.\u003c/p\u003e \u003cp\u003eLong-term cohort studies examining the nuanced effects of UV exposure remain underfunded compared with studies focusing only on risk amplification. This imbalance may contribute to a structural publication bias, where some research questions are more frequently tested and disseminated than others.\u003c/p\u003e \u003cp\u003eSolarium use and sun exposure habits were self-reported and assessed at discrete time points, which may have resulted in some exposure misclassification. However, analyses that censored follow-up and restricted the sample to participants with updated exposure information yielded similar results, suggesting that such misclassification is unlikely to fully explain the findings. Because we included only women aged 25 years and older, our results cannot be generalized to younger women.\u003c/p\u003e \u003cp\u003ePrevious studies have reported associations between UV exposure and hormonal and behavioral factors, including reproductive hormones and sexual activity, which may partly contribute to the observed mortality differences [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. These factors could not be accounted for in the present analyses.\u003c/p\u003e \u003cp\u003eIn this study, we sought to distinguish between solarium UV exposure and solar UV-related behavior. By categorizing all solarium use as dangerous, important harmful sun behaviors‒which might represent the true risk factors‒could be overlooked.\u003c/p\u003e \u003c/div\u003e"},{"header":"5 Conclusions","content":"\u003cp\u003eOur findings indicate that solarium use per se was not associated with an increased risk of melanoma; instead, the excess risk observed among solarium users appeared to be attributable to behaviors indicative of intermittent solar overexposure. At the same time, solarium users exhibited lower all-cause mortality, underscoring that different patterns of UV exposure may be associated with divergent health outcomes. Taken together, these findings suggest that preventive efforts should prioritize reducing intermittent solar UV overexposure rather than targeting solarium use per se.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eCompeting interest\u003c/h2\u003e \u003cp\u003eThe authors report no competing interests\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eEthical approval\u003c/strong\u003e \u003cp\u003e The study was approved by the Ethics Committee of Lund University (LU 632-03) and later amendments\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eSk\u0026aring;rmans Stiftelse (PL), Swedish Research Council 2019\u0026ndash;06121(PL)\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003ePL prepared the Original draft of the manuscript and analysis. ELE prepared figures in Python. All authors reviewed, edited, and approved the final manuscript.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eWe do not have ethical permission to share data\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eFindlay, G. M. (1928). ULTRA-VIOLET LIGHT AND SKIN CANCER. \u003cem\u003eLancet\u003c/em\u003e, \u003cem\u003e212\u003c/em\u003e(5491), 1070\u0026ndash;1073.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAugustin, M., \u0026amp; Del Marmol, V. (2019). Sunbeds: An international common concern. \u003cem\u003eJournal Of The European Academy Of Dermatology And Venereology\u003c/em\u003e, \u003cem\u003e33\u003c/em\u003e(Suppl 2), 5. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/jdv.15410\u003c/span\u003e\u003cspan address=\"10.1111/jdv.15410\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eScragg, R. (1981). Seasonality of cardiovascular disease mortality and the possible protective effect of ultra-violet radiation. \u003cem\u003eInternational Journal Of Epidemiology\u003c/em\u003e, \u003cem\u003e10\u003c/em\u003e(4), 337\u0026ndash;341.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZittermann, A., Trummer, C., Theiler-Schwetz, V., Lerchbaum, E., Marz, W., \u0026amp; Pilz, S. (2021). Vitamin D and Cardiovascular Disease: An Updated Narrative Review. \u003cem\u003eInternational journal of molecular sciences\u003c/em\u003e, \u003cem\u003e22\u003c/em\u003e(6). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3390/ijms22062896\u003c/span\u003e\u003cspan address=\"10.3390/ijms22062896\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCheng, X., Chen, Z., Fang, Y., Zhang, Q., Chen, B., Xi, W., Pan, Z., \u0026amp; Guo, L. (2025). Effect of vitamin D supplementation for major adverse cardiovascular events: a meta-analysis based on randomised controlled trials. \u003cem\u003eBritish Journal Of Nutrition\u003c/em\u003e, \u003cem\u003e134\u003c/em\u003e(2), 124\u0026ndash;133. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1017/S0007114525103954\u003c/span\u003e\u003cspan address=\"10.1017/S0007114525103954\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKiely, M., Brennan, L., Dunlop, T., Tate, G., Woodside, J. V., Moretti, D., \u0026amp; Working Group 1 of the Federation of European Nutrition Societies Presidential. (2025). Prevention of chronic disease using vitamins-a case study of the vitamin D and cardiovascular disease hypothesis using evidence from randomised controlled and prospective cohort studies. \u003cem\u003eEuropean Journal Of Nutrition\u003c/em\u003e, \u003cem\u003e64\u003c/em\u003e(5), 199. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s00394-025-03706-w\u003c/span\u003e\u003cspan address=\"10.1007/s00394-025-03706-w\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYang, L., Lof, M., Veierod, M. B., Sandin, S., Adami, H. O., \u0026amp; Weiderpass, E. (2011). Ultraviolet exposure and mortality among women in Sweden. \u003cem\u003eCancer Epidemiology, Biomarkers \u0026amp; Prevention\u003c/em\u003e, \u003cem\u003e20\u003c/em\u003e(4), 683\u0026ndash;690. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1158/1055-9965.EPI-10-0982\u003c/span\u003e\u003cspan address=\"10.1158/1055-9965.EPI-10-0982\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLindqvist, P. G., Epstein, E., Nielsen, K., Landin-Olsson, M., Ingvar, C., \u0026amp; Olsson, H. (2016). Avoidance of sun exposure as a risk factor for major causes of death: a competing risk analysis of the Melanoma in Southern Sweden cohort. \u003cem\u003eJournal Of Internal Medicine\u003c/em\u003e, \u003cem\u003e280\u003c/em\u003e, 375\u0026ndash;387. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/joim.12496\u003c/span\u003e\u003cspan address=\"10.1111/joim.12496\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStevenson, A. C., Clemens, T., Pairo-Castineira, E., Webb, D. J., Weller, R. B., \u0026amp; Dibben, C. (2024). Higher ultraviolet light exposure is associated with lower mortality: An analysis of data from the UK biobank cohort study. \u003cem\u003eHealth \u0026amp; Place\u003c/em\u003e, \u003cem\u003e89\u003c/em\u003e, 103328. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.healthplace.2024.103328\u003c/span\u003e\u003cspan address=\"10.1016/j.healthplace.2024.103328\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGandini, S., Sera, F., Cattaruzza, M. S., Pasquini, P., Picconi, O., Boyle, P., \u0026amp; Melchi, C. F. (2005). Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure. \u003cem\u003eEuropean Journal Of Cancer\u003c/em\u003e, \u003cem\u003e41\u003c/em\u003e(1), 45\u0026ndash;60. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.ejca.2004.10.016\u003c/span\u003e\u003cspan address=\"10.1016/j.ejca.2004.10.016\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eElwood, J. M., \u0026amp; Jopson, J. (1997). Melanoma and sun exposure: an overview of published studies. \u003cem\u003eInt J Cancer\u003c/em\u003e 73(2): 198\u0026ndash;203. DOI: 10.1002/(SICI)1097-0215(19971009)73:2\u0026lt;198::AID-IJC6\u0026gt;3.0.CO;2-R [pii]\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eArchier, E., Devaux, S., Castela, E., Gallini, A., Aubin, F., Le Maitre, M., Aractingi, S., Bachelez, H., Cribier, B., Joly, P., Jullien, D., Misery, L., Paul, C., Ortonne, J. P., \u0026amp; Richard, M. A. (2012). Carcinogenic risks of psoralen UV-A therapy and narrowband UV-B therapy in chronic plaque psoriasis: a systematic literature review. \u003cem\u003eJournal Of The European Academy Of Dermatology And Venereology\u003c/em\u003e, \u003cem\u003e26\u003c/em\u003e(Suppl 3), 22\u0026ndash;31. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/j.1468-3083.2012.04520.x\u003c/span\u003e\u003cspan address=\"10.1111/j.1468-3083.2012.04520.x\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBae, J. M., Kim, Y. S., Choo, E. H., Kim, M. Y., Lee, J. Y., Kim, H. O., \u0026amp; Park, Y. M. (2021). Both cardiovascular and cerebrovascular events are decreased following long-term narrowband ultraviolet B phototherapy in patients with vitiligo: a propensity score matching analysis. \u003cem\u003eJournal Of The European Academy Of Dermatology And Venereology\u003c/em\u003e, \u003cem\u003e35\u003c/em\u003e(1), 222\u0026ndash;229. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/jdv.16830\u003c/span\u003e\u003cspan address=\"10.1111/jdv.16830\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eReichrath, J., Lindqvist, P. G., Pilz, S., Marz, W., Grant, W. B., Holick, M. F., \u0026amp; FR, D. E. G. (2020). Sunbeds and Melanoma Risk: Many Open Questions, Not Yet Time to Close the Debate. \u003cem\u003eAnticancer Research\u003c/em\u003e, \u003cem\u003e40\u003c/em\u003e(1), 501\u0026ndash;509. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.21873/anticanres.13978\u003c/span\u003e\u003cspan address=\"10.21873/anticanres.13978\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLindqvist, P. G., Epstein, E., Landin-Olsson, M., Ingvar, C., Nielsen, K., Stenbeck, M., \u0026amp; Olsson, H. (2014). Avoidance of sun exposure is a risk factor for all-cause mortality: results from the Melanoma in Southern Sweden cohort. \u003cem\u003eJournal Of Internal Medicine\u003c/em\u003e, \u003cem\u003e276\u003c/em\u003e(1), 77\u0026ndash;86. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/joim.12251\u003c/span\u003e\u003cspan address=\"10.1111/joim.12251\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBurgard, B., Schope, J., Holzschuh, I., Schiekofer, C., Reichrath, S., Stefan, W., Pilz, S., Ordonez-Mena, J., Marz, W., Vogt, T., \u0026amp; Reichrath, J. (2018). Solarium Use and Risk for Malignant Melanoma: Meta-analysis and Evidence-based Medicine Systematic Review. \u003cem\u003eAnticancer Research\u003c/em\u003e, \u003cem\u003e38\u003c/em\u003e(2), 1187\u0026ndash;1199. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.21873/anticanres.12339\u003c/span\u003e\u003cspan address=\"10.21873/anticanres.12339\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOrganization, W. H. (2026). European Code Against Cancer, 5th edition. 14 ways you can help to prevent cancer.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRitchie, D., Crowley, Q., Greinert, R., Albin, M., Baldi, I., Consonni, D., Fervers, B., Hoek, G., Jochems, S. H. J., Roosli, M., van Tongeren, M., Vilahur, N., Feliu, A., Zeeb, H., Schuz, J., D'Souza, E., Espina, C., \u0026amp; Kromhout, H. (2026). European Code Against Cancer, 5th edition - ultraviolet radiation, radon and cancer. \u003cem\u003eMolecular oncology\u003c/em\u003e 20(1): 49\u0026ndash;67. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1002/1878-0261.70171\u003c/span\u003e\u003cspan address=\"10.1002/1878-0261.70171\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMastroeni, S., Sampogna, F., Salcedo, N. M., Ricci, F., Fania, L., Antonelli, F., Abeni, D., \u0026amp; Cristofolini, M. (2021). Factors associated with sunbed use among 3692 outpatients in 18 centers of the Italian Cancer League (LILT). \u003cem\u003eScientific reports\u003c/em\u003e 11(1): 23180. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1038/s41598-021-02026-3\u003c/span\u003e\u003cspan address=\"10.1038/s41598-021-02026-3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWilliams Merten, J., King, J. L., Walsh-Childers, K., Vilaro, M. J., \u0026amp; Pomeranz, J. L. (2017). Skin Cancer Risk and Other Health Risk Behaviors: A Scoping Review. \u003cem\u003eAmerican Journal Of Lifestyle Medicine\u003c/em\u003e, \u003cem\u003e11\u003c/em\u003e(2), 182\u0026ndash;196. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1177/1559827615594350\u003c/span\u003e\u003cspan address=\"10.1177/1559827615594350\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eParikh, R., Sorek, E., Parikh, S., Michael, K., Bikovski, L., Tshori, S., Shefer, G., Mingelgreen, S., Zornitzki, T., Knobler, H., Chodick, G., Mardamshina, M., Boonman, A., Kronfeld-Schor, N., Bar-Joseph, H., Ben-Yosef, D., Amir, H., Pavlovsky, M., Matz, H., Ben-Dov, T., Golan, T., Nizri, E., Liber, D., Liel, Y., Brenner, R., Gepner, Y., Karnieli-Miller, O., Hemi, R., Shalgi, R., Kimchi, T., Percik, R., Weller, A., \u0026amp; Levy, C. (2021). Skin exposure to UVB light induces a skin-brain-gonad axis and sexual behavior. \u003cem\u003eCell reports\u003c/em\u003e, \u003cem\u003e36\u003c/em\u003e(8), 109579. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.celrep.2021.109579\u003c/span\u003e\u003cspan address=\"10.1016/j.celrep.2021.109579\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"627\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" valign=\"bottom\" style=\"width: 36.3122%;\"\u003e\n \u003cp\u003eTable 1 Characteristics of study population according to categorized solarium use\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 15.1101%;\"\u003e\n \u003cp\u003eSolarium use\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 13.2213%;\"\u003e\n \u003cp\u003eNo solarium use\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 15.1101%;\"\u003e\n \u003cp\u003eSolarium use\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8.2633%;\"\u003e\n \u003cp\u003eSolarium use\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 15.1101%;\"\u003e\n \u003cp\u003eNo risk behaviour\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 8.2633%;\"\u003e\n \u003cp\u003eRisk behaviour\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"bottom\" style=\"width: 11.3326%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDemographics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eAge at inclusion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e48.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e11.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e42.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e11.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e42.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e11.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 10.5456%;\"\u003e\n \u003cp\u003eEducation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e\u003cu\u003e\u0026lt;\u0026nbsp;\u003c/u\u003e9 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e3783\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e23.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e1169\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e13.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e631\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e13.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e9 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e1599\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e10.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e741\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e8.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e433\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e8.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 11.0178%;\"\u003e\n \u003cp\u003e10-12 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e3442\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e21.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e2692\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e30.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e1525\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e31.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e\u003cu\u003e\u0026gt;\u003c/u\u003e12 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e5069\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e31.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e2980\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e34.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e1648\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e33.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003eother\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e2049\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e12.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e1124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e12.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e633\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e13.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eMarital status\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003eMarried\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e12618\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e79.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e6670\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e76.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e3722\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e76.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eFamily income\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003eLow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e4402\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e27.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e1334\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e15.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e712\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e14.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003emiddle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e4599\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e28.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e2827\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e32.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e1487\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e30.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003eHigh\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e6941\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e43.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e4545\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e52.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e2671\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e54.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 10.5456%;\"\u003e\n \u003cp\u003eSmoking\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e5064\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e31.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e3823\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e43.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e2212\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e45.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 10.5456%;\"\u003e\n \u003cp\u003eBMI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e\u0026lt;25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e6470\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e40.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e4040\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e46.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e2573\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e52.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e25-30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e3673\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e23.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e1952\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e22.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e1155\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e23.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e\u0026gt;30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e1561\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e9.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e585\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e6.7%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e332\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e6.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e4238\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e26.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e2129\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e24.5%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e810\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e16.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 10.5456%;\"\u003e\n \u003cp\u003eExercise\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003elow\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e3092\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e19.4%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e1745\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e20.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e583\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e12.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 11.0178%;\"\u003e\n \u003cp\u003eModerate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e6824\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e42.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e3811\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e43.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e2230\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e45.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003eActive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e3631\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e22.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e2454\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e28.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e1615\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e33.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 9.6799%;\"\u003e\n \u003cp\u003e?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e2395\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e15.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e696\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e8.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e442\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e9.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"bottom\" style=\"width: 12.6704%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eMelanoma risk factors\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eRed hair and/or Freckles\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e6397\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e40.1%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e3917\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e45.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e2222\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e45.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eNumber of raised navi left arm \u0026gt;4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e0.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e1.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e0.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eHeredity of melanoma\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e623\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e3.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e350\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e4.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e159\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e3.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eSunburn Childhood\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e5086\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e31.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e2989\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e34.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e1817\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e37.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd colspan=\"2\" valign=\"bottom\" style=\"width: 11.8835%;\"\u003e\n \u003cp\u003eSunburn Youth\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e7308\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e45.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e4436\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e51.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e2644\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e54.3%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"bottom\" style=\"width: 12.6704%;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSun exposure habits\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 11.0178%;\"\u003e\n \u003cp\u003eSunbathing Winter vaccation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e1853\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e11.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e2082\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e23.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e1518\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e31.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.787%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 0.8657%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 11.0178%;\"\u003e\n \u003cp\u003eSunbathing Summer\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e14006\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e87.9%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e8548\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e98.2%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e4820\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e99.0%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"bottom\" style=\"width: 12.6704%;\"\u003e\n \u003cp\u003eComorbidity at inception\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\n \u003cp\u003e2003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e12.6%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\n \u003cp\u003e589\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\n \u003cp\u003e6.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\n \u003cp\u003e330\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\n \u003cp\u003e6.8%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" valign=\"bottom\" style=\"width: 41.0019%;\"\u003e\n \u003cp\u003eNumber and percentage or mean and standard deviations (SD) are given\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" valign=\"bottom\" style=\"width: 44.7007%;\"\u003e\n \u003cp\u003eRisk behavior was defined as a measure of solar overexposure i.e. at least one of , \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\" valign=\"bottom\" style=\"width: 49.2652%;\"\u003e\n \u003cp\u003e\u0026nbsp;burn when sun exposing, \u0026nbsp;use of sunscreen to enable prolonged sunbathing, and traveling\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"bottom\" style=\"width: 12.6704%;\"\u003e\n \u003cp\u003esouth at least one week a year\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\" valign=\"bottom\" style=\"width: 49.2652%;\"\u003e\n \u003cp\u003eHeredity = First degree heredity, Red hair and/or freckles as a measure of type 1 skin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\" valign=\"bottom\" style=\"width: 25.8918%;\"\u003e\n \u003cp\u003eNumber of navi = number of raised nevi on left arm\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\" valign=\"bottom\" style=\"width: 49.2652%;\"\u003e\n \u003cp\u003eComorbidity defined as having recieved antidiabetics, antikoagulants or cardiovascular\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\" valign=\"bottom\" style=\"width: 12.6704%;\"\u003e\n \u003cp\u003e\u0026nbsp;medication more than one month\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 8.4994%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 10.3882%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.7219%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 3.6988%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd valign=\"bottom\" style=\"width: 4.5645%;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cimg 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MhhT+uOlScvBhwzu7aNAWDSShzC2+O51e0YSyF+c3C47shR+eMriaZj/cqSjN/rZzib+oXRQ2vSz9Py0xXysv5StDvKDjQWduozLx6/mXcqE+snXeJAHeWk+7Xkox3wHe4qJ+JQTcwrF5Wg1ly/w0afmCmWrh/EiHf7vEfEanvUypfjCxTXuyA18JC4+Vj68yW+yTbohP+k7/UWGaJO+djQXj8lHf0qPH83N0usv/Ua5NvaVTcmW1uJV2UOSj7LJPWPKsTP59zhkCHlBP4KdsWmMD8cvOQhrfW5ONI6k1xYKMNlt7ulY0KXUR10pqMYbPpQ3GTcsXz5j0u8wx9/yoTNcobWlXUjlwZ6OojwyhS4xzAM/kC0UWxgpl0yGhXjaDDf6hHD3DBvaOByPDKN0J2NZ3+JhOpM+IrfVy4LZuKcTyHtIxgBZpnz1xVfkKD6koxkPjHoWv97x1D/a9Lxkokz9eUzuxw5+z42n/KT5Yu4daYR3bhv88KO6CSenLfaE4306p/orS9vNR3iMLiG9OmoP/sZ/xp06df25mgAAEABJREFUUuq1RZjxJj/xN0UG0qwJTVgsI+JjVM8GhGfEYm5CJPAJKQLKqpFVRHgnHW9idVRDHgQtxsAwVpE93viKcVgHDQorNAMbwxDM4iof02MYz0MyqWB+QkjHIytPnSIeIfOu3IiHKH2E0RBcCpEJTx20L9HbsHx5DcsXBx6Eo7pTLE1Myvp+EmNK1uncTnTD9CJ8KP+G+FNIKLLxXtdRRDA5IaBtEsCLwsg6aCKgTBuwFB/9S6GBtbidDCbKmUms++m//8wD5Q6uyKSqTw2SBDX56DM7E8qhiBswPRzmBNpw4EuH1JfCYWcDv1p46EsDU/9YNAh3DItCaCBJJ//eH3iFoDfYrKJ7+5QrLsI3JnaKMh7mZ1KgQGgzhUdbtUWdDG71Ea8TYaefWXxNYvzxCB5wPysNy4O18gjjSYIIb7GGKqcvaAhjWLJcwagrYzDSZhOQ8ac9s9apx9MuCr1JwZhVNxN8Dx9ejQmTDczEwRMUBOn0n/FvLMAHX5iwx21UX7wxzLffU/godJQtfcrfOHG18JTWxGzCogQq325Ib7d+JuhN8tLIT9tMLsokZI0D+OF9k3jH2DjWN8ZOr7P8KPfyYz3GaxQpvKd9lHLC33iECb4lzPEMrLRD3Yx9wt7EqAwTIIzUsVPPnxzB6/zJE/LQJNknEs+dd/GFNuF18ZH88Q45rX3SSSMuPCjh5J6xJa40s5D6WpzB0RiCvflgnFY8/Agz8sCiATbKtQuEbzyb6JVvYoU5JdLCTNvxJBwYiYZzUi8L3zvK51l98Kz8e34maLLUcVJYi7ceqTeekp/2SUcWkU8UCXJEfuqufeplcdR5Zb38x+Ha+Ip4Gi+UenjgNe3HR/ieXFU+4wrjlHi9fGNL+LB8ecHSWFY/8clMfnaaKKHyT7ENfnAk2/AqP31jHoGl5yEpCw8bX3jfGJAfXhrG7/XFH8rGA7CFn4UGXlVnY8v4UWdth7f+FjYsd9r9ML2xqzzpyUl4qZv+whMWl8pljBjnLxyv4aFJZRm/2mvsU9DU11gyps0X5lfGLmThin96PsLJAmnoI7DQ7zC3Y2R+Gdenp13rSjaaM40x2Gq7sU0OK08djHnl6U9zA77peZp7yBSyXN9ri8Wxe3GMU8ZZCxN+wsUl64SJg8xr9EJ5k/1k6UbaRHYZS9LjR3ygL7TPvT4hxyzM6Bv6E5bkm7GnP9VjTNLpI+2HkboZAz2e/OGnXfgIfoxFdEQyjT8Z29PTG+iLFjf6C750P3nDR7vNQ/CQVnkUfHF7mRu+Yp5ZEinEYH9OIlOWdLaVkMbEa8lRmDD60kP+eZa/tHlcdp4p9D6rBEBMRPDoBMAvRxzcKMdKziKA9YGAkY80LNw6g6LL8jNItnwLZJ2gcwkspPMxhUgmalY3CjJi7R92poFN4FHOtV8a5Vt8DMu3wheGlNnbYzBQXmAiDBn04rifRMJ6emURxoS38gk91gk4Tko79pNeXDgNwzzDVr2soq36bYkS0layFMVhfPfycu2knhiSIgFXhEkJIXE6dfxZNLTFZIE/evi0axc+JluDkYJqIFMK4UoYEL4mC4PHoNEu/GClLl98aWvP5G+bUfsoUdouHFF6YSTM85AoECzieNWkaSHIbxjHPeEIy/5yML/NkLxZwnp5dlwogJPy0h/KpZComzQED+GAv4Xh5SHWeA9Nym89P1jjPWOR4kXxNXGrxzgt3ujluIeN+uAXwk8fUIAsNCmSJlTxej7u8aDxNyl/eWkjedDT4DtCX1/y64KTYs+66sofqRvecI/kZ5JjXYYjYl2jLMmTkLbgZU1ijVEWP/WUfpgffsJftt8Ja3npU4ofHAh2lkGTNrmqnjCVD4sd6xQrDn6c1P/qqo0ULGk6kXH8O17qhISrJ1I3z53wjTba9SLTpKdAaCNeFE89XWclZSLxlanN8vU8JMqcHQPKGYzsaFioqI9J2DxBKWCthBn+w8vyYg3r2FIktH3Yv70c/M9SSy5oqx0RSpw+ZeFnOdOP8rJwk39PO+2qbdokfNg+uKubNslPmyg+Fv+T6ib9RknZqOfXy5dPL9+uUC+fEmwc9fjiIeOGBZJs0d/mdYvZzlvqLl4nfOMICOONMAs88ZXZ4/SruHC1mO31YPChzKh7jwdreI35GN/zl4+4wzZ6hr1w97PQML17WEiv7q5OFJj7tetfkyEMxMntKkfmDNswjCCN3QFjliXXuGYAtICRBk+bK8kQZQ/TelYuhZoC2MPMJ9orrPtt5Kq9yu5p5AXXYXld1+hxhldjhf6ibd1ffkje8oIhvaljyOpM1g3TiIvk4drr4XmjJK3yXaXt+WmTupjve10YFYQP6yINEt/cQ06TD8aAI0mMGsKRtONy9IW0rsbRED/tVjdh0g+p59Xr4lncYZxN3RtIsySkNGF2TGzwIhPTsAEqLl7Pj5DWSIzY/VxVHKPaesTQJhBEYLMcizMkE6JJhSWGgmmwCSeATHoEilUS65vVjrCNkHpbRRPiLCoswJQVdZePcFsq6uxoAz+kfMqBSaCXz9ItbEyUF4sHA7qHaRfqz2tdMZYtMpMZ7JFjKkNFZK304pkc4T2M9+t5MKFRSnLbTHLyVpYtJ5i2wR+FnFI9a70HSZdvKfu2xG019nwMPpMdhXw54tEbPGdxwILAOkGBNEjxHtyRiQi2FluUeX7qbpF4NJuli50Z/Wz3gCKprUsB+Sc/OAnP47JTN4oEJUcd8IeJEm7LkY7e4BHxKbdHvZYvrDUGbvcwufb2dz9X6R2psWih6Pby9J/wMRlP6o4XtdtYQvq2WzHwnnwJH+ndK7s/8+tEyOCz/kxG6Jth3Ncm0G4A64M22eYfjv0Er+lM8hbiFESLEItwZxsp+MOE+M2irC/chmHu8Yv2U/48I3mbeKT1jM/0G9liQWZByH8SGQfki21nGCI8om7wsnC0uGRYwF8UG/w4KS99gp9su1ogyAtRHocyUbjdBUqsrV4LXfk5+iEdZZZVjKFg2AdkCh7U5+J3sqDVdv3Y/da7apM6OY+Ld/ELpYMSjI/ww1jZWi/PWcNZRbXNsUb4XLe1RkboQ2NOnzAcaWfHm0yArSMBMJIOWQxRnoZlG2dkmbawChtPdgjxjnhkid1JsoWRwCKKbBe2GTLp63uKzbBudorwsvGymXxnTaN8csj8MC7fgmlcPuWFVVX7WRzxurkbvvhyyHNkkr5wrhqO0kzKU11hQOaxTvd6uOqLPreKpy/xqzDPnchhMg/vjevc42zHFV7qysikTfgI6a9pbZulXPnhWfMMfMlKWBpHrPJ2HfAzWdzz005jkTXbnN/9jUn9AU9xuv9Wr/LCK+TnWvJbnczBjJ69THMCmahN6obMi0MMHfeyKOtpduPa+5PBbViXaf2pHeS5fqCD6jMGTXy3Xn3NPbBh6B7iZ5zgKf21Xh7bFm6iniUzKy8daQLRaSY1QhgAPb3Vm9UQxiA4bbGx2nWh2eOZZGxdE6zOz/IX36BnTfQ8JFsmrPEmN1s0PUzZBL785WnCI3x6+KxXzKjumABjUwrVXXvlYXI18GznEC78kPLVW2cqHx7TyocZxYo1mpBSniMfFBp5rUfwN8HY7pEXhrPwsNCQFuPwx7yexyQdZUa7KCfCMbdFkq0++cOYFU5bbENaXY4ZWr8R9EPGlddGCMasaxQ0K2JplQsTE6vnIekXSp/+oGy41+fiOIZgsjaB9/4Qpg3OjBqc4hGOLKryMHn09lEUhCMTjMWgozZ4mJ80cFY3eao7nrOw5CfOkCghJmyLP2UJk4c+h506WlDhMXWfpFgak/JWT+UZE5RdfvKDh3oT8OLqd3h2pVUcuOIvacRnjYS3bWUCGD9TfPC++EPCzxRU4xNf2EaECZzFMx5Z0pVNASTkpSHYhM9CsJQG/6oPnjLJW7wM0+NrCzRji4Ld64t31YmFS9sogzCVlmJmkoK3PrAwN3ZZW2Bqcp3GvyZaO1/y7vlpL15SZ8qzPlRn4RSfaWMONt5n0P8WwOpGMXZWW7vJUC9zyYtcpUDjQfkzLnTlxjjEr+OJgb8dBH3Z88eXeE178Y4yZyFxGSK0FY8YT6yD+sVLnuSecTUpL7jgx1ll2TgPSgtekocrBcd4xddDvPUlvOGCd7SRcYfiJU/+DE6dT/kheeorbcRPdnnsiCgXH1mo6w9txMvKxCfSIvfqpn2d//hPI+UwLpABfT7QP3Z2J/Gd/KWZNf9p5XZ/eSkfL/TytdmieVy+8WYOGLcfHzKE4EOLQ3nrF2MQbvjVGOtGh0m44FlHZSxeKTvyUJ5jJnjcM4Itg5yFgfEhL3OUeIxnxpF4sxI89bOFoLzWS2eOY5AzN/byyX9yQlvXSz8Ox6cWpuQzjIxTWJiDPZOTjqDYSbJTYbz1epLVTiuYD7t8hh3sGVDIp3F5W3kelkcXUw/9bZ41d/S88ZR36MhF4fQeu4bmGXGMGUfAzGkdd33IyDMej+JPImPafAP7SeFr+/0kFG/SE2Fm/tcmfWEemNSfytRn+KDzjR39WeoNPwYAOOBfssZYUzbdlz6gz39Sux28U/gs2WNEW5oqjKGs+gl8je/pKQC2MwgBDQSqeBrc47hqnLOhVj8UdPlhBGDqUHE6ET6sLxR15dsGEZ/11erHCwWEJD+CxfZfTzvr1eB3fEW9DCR5q4ftQHlQakxy6muipzwQjKwJVnQGvfIJRUqVNGMygFndCCeDktXL5IzpxnEnPYvLqkixVJYtPFiou/gEHqXcdh5l0mDk30n5tvK9ie9YkDyc9yRM7JCYuPWXScBKGta2yVgpex6uyrSosJjwvBlSFxZYg4iiIA8LJniyhHgeE94STqnDdyZ6WBP40piITUBeOjHBax/BY5KQl3D8ZUGlfbB05EZ/CkfydNTIlrC85UFplYdz11bwFhsGKbwIMOmGZGJi/SfQWLnkQWlTjjaznuMDeRLyJpFhevfqwUrLwqwujswMy9NPtu1N1nAxBkwOeML5VGVS8kwg2oyvLeTsYgl3RAtPG3Pjsal8SptxTCD1/I0P+AuHnzGnH/AHZc4RhqEsEG8tInf0OTlhlwTudmuMD5PFMK26U3pNDMrWPnyuL5TJSmjC63h7eVI4zFlgKYbqr76sil5O06+E/LAc9/pPfYb9R4HRd+pM4YK1+iJlwF350g9J3dSbvOj8RBklH+FO0MvTmIIzBQA/89ffsNBWW/7GLLmkL3sZ8tB2i5aeP55mUCFXhnF7mrWuJmvKu7GtfDJfW8leWJvQJ6XHL+qo7vrHpDkJ20lp+WkbPqL4wVO7HJchH+Dt6JXjCvCGh+OQlB2WbzIKLvy9MIi/jR/5dlJvihMlAQ8Yy8aeemsXmapc/WBhhme0vacXj6zUP+KR/T1s0lX9jU8yxthVN+mVhSfGaeSPPym96rBe/uP042flO1YzLN94ZoEfl69OFqrapWx8j6fIS5Zli1HjTxvsEJkr4J72d0QAABAASURBVOdDEvraIok8mcRrysKL5LJ5WR4WW8Y5mdHrLa2FpLHBmCJfz+Yr+kGf43r89a7klPYyTpGfjATG2bR05iP4O2nQyyejzaN4Z1q6af54h/6AB7TFOIajMdrTaBMM8QVZ5Tx3D1Ouedo8Ir05WX/oT5j2eNt1VS96mvfclKftyjF39DLwlPFFdhlvxix5QfboP+1hCYejcPnQIcxD4/HY8xxfzePS4y/8awE8jjPLs7pqA/7t/Uk3MvdP6k/zKblpp9U4MJcxEg3bP61cbTc36C/4kS9wYRRw1AqO09Juu/80JidMTXgYTqEqjcms9DEeq4MJnTVduDDKtHNHVmQEJ6XKpGCw6Bz5mbTE1/mEN2uK/KxOCWL+wjuZXJVllaRzxUWUOgoxQWPVxc92tTqwwPX0rjqLEDEYhvkDXl1ZeEygFGD5WM1ZdRKuBAPBYiVq9SXcZKfDMSnG7eWzhLLyEGCUFHXE/OqAtMWCwMSvXFttLPUmGuFDwiAmGRjxh788MZw6SGcV3PGHsUFgVUhRw7yEBMw7Uyqfv/LlYaLE9BiOcHXf+4P1WH/wV34nwh/ZMmRR5E/gajusPCMCnDJNKbUogguB0fMzeTumQQDIh0VEvhYl0o/JYoZw1j5KGzzU18JCf2s/slDq/QEfE7DJWbnwoVhruz4mSA38YVkEscVZ5zU8gH/wCqVOWrzqPCwLq7axCo/bRmE0BsSnHHaMDXi8xHoKN/1jzJgk3Wu/timPhVl61qxeHmEkHN+rh7aahPAiPmXpl4Y1nSDt7RPuU2DqBANKpknO+wPyG2LgGV/3/I0L9Yaz8WMMU9yUo3xnyi0chGtD5zeC2ViBkfzxH+uXSRv/UxxY3U3y5I1JhXJgJ0L8TvrO4odSqUxkoUH4iwMr46C3XR3wCH4wjo0jddYuk5AxZHLF38YCvpNPp3F+to4t3FhrWKsoCuSFOusHOzX85UdGDPPDt46u4Vv1xhcs8OqiTyimMER2Vkwm+gwfs5RJQ8E0MZGldmgsSPCT+srfOO/5WwhR5GEmHG/oP/E84298hfc9D4mCa/yTtyYzdXTkBK4UK8/im6zwfF+I8ifnyB319d4NYw35Jx9ptFW97VKIz68T/rBQk5ZMcsSPHMerFhcWCkO8KfLwxmfmpz5W9Xvv5563q/LIG1v+yiC7zE3OisOFAYC/PoBv7x9pET6y8MU36kf2U0jx1bB98jSmlKd/8JgFq7z1pXlGXvIcEj8GAjtnxgT8KE4wpuiLS9bZRejlURbg6yU/5cHXIspYlJ/yKZO9fLyFp4TJr5P2Wzyoo/Y7DtLbD1+LqI4veU6u4ymGNGkoMWQspUl8+Jn/lK8MSqhnfSm+uD1/4Z3EV99eVseZzBDHuNUG7dde8clpOojxIk4nbbSIImPIOgYU2I/TazeSXn50lF4+HjG25dXzdSV/lUvR1l5+xhr5r78o8fJTvv7SZrKeIUVa87+5Eu7KhA2ZSPmVF5If/urpYU22wl64eVY/k+HK4tcJNnjVGKYv8CePGDi0R7j8yRNzm3tkjKmn+ppvyDJj1c6M+U8+rsoka4x1MkF/6zf5Cse7va+FDcejec446O2AH36TBs7mFmOfTDbX4hPldrKYl5684Gdxqs70QOXLj2yjmLs3/6irNpk7yC3laC9dUH/BUloLUnmLa9cOX5hTxFWO+UZ6cfnRW+Cnzsh8SWeSXn+pa6+ndMaqq/TGBGwZIvSf/MzDPT9t2xRNU+Y3lVkl2vcIGCSUQpM+pXQ7GiwfEyXlwMDYjjwrj/lGgHJmsqHEUYAsvCjeFn8U8XmsvfoS+nbj1JnAN7mZ+Cj281jnRa6T43R2NbqSDG+7tCZpSt2CtK2qWQgUAoXAziNQyvzOY7zfSmDlYGmwEt+OtrG+WLXb0rdy3o48K4/5RsAOBAs9KzKLFV6yO8Eyw3o8j7VnNWcRswupzqxrLCosS57nsc6LXCfHPuBtBwa+8PZtaTtanhe5bVX3QqAQKAQmI7BJ31LmNwncAU5mK5EVvW8BbxUKW122UR0j2GpelX5xELAN6diXH0JDtuodF5jnFrAIW3SoL7IAtU06z3Ve5LrZ8Rji7ThP4b3IPVp1LwQKgR1BoJT5HYG1Mi0E5h6BqmAhUAgUAoVAIVAI7AMESpnfB51YTSgECoFCoBAoBHYWgcq9ECgE5hWBUubntWeqXoVAIVAIFAKFQCFQCBQChcA6CMylMr9OnSu4ECgECoFCoBAoBAqBQqAQKASCQCnzAaFcIVAILDQCVflCoBAoBAqBQuDAIrBZZd4Pd/gFSt8IP7DgrdFwuPrxBT+KcOI14m0mSN5+YMQPIWxH3vpSPf04zGbqs9X0mylzq2lg6IeVtHsWDP2Qkbh+9nlcth8NEuYHKsZh9VwIFAKFQCEwdwhUhQqB/YUApWYzLfIrX348xS9ebSb9fk9zojTQr5H55c6T5n47nT7za5R+MWw78vard+ppgXDMJiq61fSbKHLLSfSPX3XT7lkw9Ktu4v7shJItgm4ff784uBn8krRcIVAIFAKFQCFQCBQCm0OAYri5lPOfyk8O+1lxP4e+27X1S6Z+9vp6KdiPIuWyb92H07LrhXwr/kiui+B8q9oP0Kj3fu+fReiPqmMhUAgUAoVAIVAIbBKBSco8q+VZkh8lGE06WpDgJSfu2XMnHgut/Pix3P90/LtzlMExhFN1j8GVv/RorWM7J0uac4bEO1uupwhxk9KfOgHiqMe5jt6fPFdOe+SB1JnfkIb5iaPMUybCSULy5IdYabslVt2UdZrEEd+OhTqoozhwOVPCzh2SFv1c7vnn0uTdMVffIXbjcFZi8fmPSX7Klv85Eji0OkvT+0q4oyPqlmirnPb2uPLx3CNJp+7aK5/TJUA79Xtum75mrYaFZ2WIc8Y8uBcOY/3Qy/DMXxx5wkJ9k2SFE65c7ewB8h6nl4c6Kk88/aNO+gS+8seL6i28k/ylRfqrp+/h6giPaeE9nrr3fsAPHYseXtdCYBoC5V8IFAKFQCFQCGwIgaFS1BNeMTd3Dt0h9PDQQ0KTlGzK8XUTdtfQsaG/D/12iCIq3S1yT6nJpVF+Hpub84eG7rfycJeQsh6Q6+NDFLNcVjhK2J/G529D4t4r18uFLhkap6fsUZqvmTDnuW+S65+E5CtMe+6f5+NCfsXR8YjcLrlL5P8TQ3cLKes/cr1HiJXfsZbH5F750j40978S4s6bf/8UelBI3W6cK0yekiucKIGXz72jGvJ7ce7hRtmG0R/kmSUf7vLVJkpqvJcU/SvlpodLr+3SxXvZUabF+5v4qOO9c71GiKNM/nFuhvV/WJ7VO5cVjpLLYn2n+MrnUbn+Wagr9Pyfk2cY3DHXq4W00xl+yi8l+snxc8wIf6nXjfIsPiyEPynP2ikvOD01z7C5Za6wf3Su+FD63C67m+bun0PyyGXJweqBudN36qPOh/KMH/Fdbtv58u/ZIf1+z1z15eFc1bsr9HhTfXp6/NrTJ2rTfumUJ3/hFxEwIn161fjpL/kZC9pmXMS7XCFQCBQChUAhsF0IVD6FQGtjZQkmX8o/ytGtcqUcXTZXZ7RzWeEoiBQhSill778TeuvQD0KvDl0gRAFSBkXpa3n+SGjovp8HyqKy/jL3lCeKZG6X3TG5u1DIC7cUWXFdPxi/74UeGeInPeXUAuOd8ZPvF3KltFEY/y/3fx6iJFtoqPO780x5VE9KLEXvP+NHqfROwMdz/6KQcIuD++ReWdJ+LvfKZPXNbYOHlyH5OcIhnD+CiYXDbfJAiZXvK3PP3+7A9XNP2VSu+rAeW+hou/A/SvizQsLvl+u3Q3DNZdmpv8WA4y7qqO8+llB5eNmTYg8HYeoPG0om5TPRlt0JuXtXSD3EtQCgnLKix7tRzlnnn5EH4W/JdaOOUo8f9CO8vpoMKP/PzBVGb89Vmzu2eVxyFhHH5+43QhzrPpxenocvhijn6nTb3GuHBWBulxxluvePhYz4SwFH/+FFi5Ce3pEhi8CjwU169abMw08fqrs6wrjHY/W/Th6eFtJfFncWE/pgGC/B5QqBQqAQKAQKgUKgENgaAmOFUG4Uqc+6CX0mRGmhBOV2hftynp4e+nroO6G3hlgqKTNvy72rL7pQdn49zx8IfSM0dP+Vh4+GOPlR0FnQPXdigb5YHr4S+kSIo4j+T27eEaKw5tJ6esqv5zGx5lJKKWwUSQoxJVDdtE85lFTtdebdosZiQX7Kl78Fi3ylfXNuLHQce8lt40eBG7dR2JAo1c6Zvz6eFE5Wf2XDzPOn4w9/CxuKs/ItJt4ff+EWJW/MvYVALstOnSnFFFk7FvCCD2X94okFs/flyqmr+tst6PXnj5whtxj6pofQJ0PfCp0yxFGm5fvePFB4c9mwU9deBt6Bh0XI/yYn7dKn+GbMn+qi3qzwwvGY+ng3An+hZNHUXZ6w84y0gbI/rX/EH6cf8iLl346C9PJSJpzH+OEndbKrA59PpXC8ZLeolPmAUa4QKAQKgUKgECgEtg+BsbLkmaWTtfVDKYayTTnJ7SpHsaSU9QAKjPQUGEoZpZM1naLMYi6vYXyKjfPEr00GymIld7QijyuceI6pfD6+XlzMZcnxH6e/wlLI5H8UY/k4ymPRgB6RqOqq7hYlFDCWWYuSaydMWyjdlO1x+RRudZBnojZxKaLup5GjKPJlZadwiic9pfA1eVAndbBIsOCIV3M2n0UY3p6Re+W570QJ94WWV8SD0mlRQlmXP1J/7Uzwkuv1h8uSx9F/yrJzwTqvPnYmxgqrflCHo0m2fFEv1Nsk734/zJyf/rBLYOHlWJFFjl0QR6hemMiUcgsNbRi2Tdpp/aMfpdfWaenVb8i/nvF7ilzhlKn/1BN+Frn63SJgRcR6KAT2OQLVvEKgECgECoFdQGCsjHgB0Flx1mufKrxg6sCCmssqR2lxzKYHOObBeskCTHFhQb10Ai8ToixR2ClUeVxyjrs4d2wnwDEEi4aXLIWs/EexYyGnULIy91DpH5cHFu2e/qV5nuYco6DM/UUiOCffyZlviq38KImU4JsnjqNBN8uVcsfiTdkblu9FSBbarpQn6pqO8ukYj6Mi6twjU8JZeZ2D73VyRMk5ckqz3RHt72XrM7i79jyGV8dU9Ns/xBM+diQsDNSfUh/vJaf+6q4NSx5H/0nrqJIjU94J8A31viNyNMqaF0ouy3+PpJ5r1bfHm/VKeVdvWFn84RmLLdhqp50OhLfUZZZ88a7jMHYzpEWwG6aHnR2Snp/3OCyQ8Hz3c9WfFqh4Xx0R3vZOBV4Wp6gQKAQKgUKgECgEViBQD5tFgKI1TEspcg6ZMkaRcfbXcY9hnH7vDDEFyldCvCBL6XtZAila0joTTgFyjptCTPFJ8LIT5gVV8Smtl0qIs/G5rHDCLCgcqfjNoyGUTC8jOkZBGRVnnF4bKE+ON0jmmAzFj7LrSyP8KOzO0WvuWahmAAAQAElEQVQ3RZ8y5+w7DCxsnDHXfuVbTDj3LJ30LOzPywNlO5c1nYWP4zXydDRJfXsC2Li3i6EeLOMs7BRAiyBWZ3hSDmFG2XbG3jET6TpZiMCaP4XSogpZWNkVobx3/HyVR986p28h0/NwpXirhzwsvpQFZ2GzkP5wBMoCS30dtfIehHrNkn69ONqEnKlXTzsZ+Fif6XP9qGy7HfzXy0+4/hmnZ00fphfunQlHb/TjVZJQ/+Pf3C471nh9aJdIvhYA10qoOuVSrhAoBAqBQqAQKAQKge1DYKisyNV5bQqslzQpeRRhlnNhY3Ku2QuLrJDOGlNqvIzaFVXhLM4+8ff8JKYc5rLsnCP2kqljLcq6QUImlUWhdEbckRjWZnEpxCy0XkTs6SmdQ4u3s/isqyzc6sHaTRn795TjJVf5+LKNuqkzxZOS65iKF0MRJZ6Ft+PiSzfSOYbkGIpdDIp2slzTUQQdvbDb4by5PByroRg6jgRziwP3sPQCLIVY2ynzvojiizDOX4vLymvhMSxUmGMgzpWrr2MmXuCEs6Me0sFC2fCENUzH9Vc/uyoWPuIKH7+4PCx3fE+Z98UZixNHmLzkik/sbozjbubZGXu7PI7Y4D2LNLznS0IwVmcvcIuj7hPLGHla8EjvWJL0vqxEKR+m1x9eYn5D0np3As5/l3u8o59yu+TwvS/3+IqSPnHkx0LUjs9ShPpXCBQChUAhUAgUAoXAdiEwVuZZsh0DoWSyxrK8s6pSYodlUmZYxik3FE+WSor5UGFjVaYgOwtPQR2md08BojQ6/qEsnx2ksLIuCx8ShUm9WMTFdabdF3Mo6T29IzHS+9qItBQxnwd0fMYnM1lwKYL8nEOXj09CUt7UxUuizvc/N4kp0HYSKLx2IFhXKY6s39Ip02cOKZGJ3t6Tf3YGXpUrR6n2FR1HZ5RJ8WZJZvV27EUev5eIrPowh6e4wpThayvSJUoTrp1ewhVuB6R/frLHEU+ZFhfiILsIFjzaBj+Lh46f3RTKK8VbHGVb5IirTRTwzgM+w2ihRclXjq/c+EqMIy2ex+nlYfGgj9SDBdtixNd1LOgouJRmCr628aP8wksb+HmnwFEflnZlDEm/+pKOPrBAUR6iNNtFga1+tdDziVBp7Ux4aZYi7lk5eFu7YSi9PrR4ld5CYZje4k99WOK9p4Hf8Rn8pNMe/Cgf9cfzvgAlL/H1i3KUXVQIFAKLh0DVuBAoBAqBuUVgrMxvZ0UpRl6mpYRTELcz753Ii1JKMfOdcdZ+x298J5ziuJEz4ztRt8qzECgECoFCoBAoBAqBQmAhENjdSu6kMu/oAusnZX53W7W50hxx8d1wR3XsMHixkRWfVZn1eHO5VqpCoBAoBAqBQqAQKAQKgUJghxCgzDtSshPkvLkz7l7w3In8dyJPxyOcI+/kbLrz5ztRVuXZWmGwDRhENhSOhWPxQPFA8UDxQPHAweSBc1Hmnecuaq0wKAyKB4oHigeKB/Y7D1T7iseLB/YXDxxPmfeFlaLWCoPCoHigeKB4oHigeKB4oHigeGCReODjlPns0u+Qq2wLgUKgECgECoFCoBAoBAqBQmDHEChlfsegrYwLgUJgowhU/EKgECgECoFCoBDYGAKlzG8Mr4q9eAjgcd+79xsCfvtg8VpQNS4ECoFCoBCYhED5FQKFQBCg6ORSrhDYtwicIS3zA19+SKqU+YBRbuEROElacIXQb4Tmzf1SKuRH1E6d61rODwr6QTk/6HeitSJW2MwInCYxrxo6U2g91/H3WzCF/3poHbzwk6fJ1wn5Ecv15k3840cwr5j4ZFMu5XYbgVLmZ0W84m0HAr+eTJ4dumvodKGxO2s8nhw6HDLJPzXXvwudJTR2Z4yHsMfmer7QNCfP0yfwvaETQtvtTpkMbxnSrkvkOnYnjccfhfz42DVyFd+PkolvIo3XCjeOvyKwHhYGAbtBT0ht9TO6Re63S96eLHndPHS50HoTbaLsqvu1lPYnIWMul6nOpH/bhF4rRLHMZd87/a+9z0pLKd3jvvN82YQ9PXSzkOdcZnY/k5h+K+Vsua7nyJm/SKSrhybhL/zeCcO76O65V/9cys0JAubIZ6YufxYyr+SywnmB03x6p/ieNrQRZzGuzy8wQyL8c8PEI+PwTW5XOGPdnIfv8dITE/rLoY3yd5KUm4ZADc5pyJT/TiDAYnTdZGxgXzDX8WA2Ed0k/pcJUeApv3+cexMfgZHbZXfN3P1piHWPYp/bie7C8fUZLj8KltttdwTVRZKrdpn8xkKVUkdpuUHi/EpoGP/YPK8XP1HKLRgCeO6FqfPrQvr+r3LV97fOdczz8Sp3gBCgYJEVd0mbKUy5LDsyjgwkKy4U373kldulfLssro/M/Y1CfkCxdIYAMSfOHMl6ro/OMaFOd4yf+ZPSzwCQxz1x5vGfTcl428LiO7m3CPn5XPeSx1P8/nE1MPdPXy5KSz6Yir4lxCpt8srtkjtz/rNKPSzXb4c4v8TL8n6xPDjznsuSY/X7ndzdL/T10DQnnonxHYngF4lzWXa2pE1WJlRWAtZ9Amc5Qm5sNfYw4dOsG99L3MeHWCXPn+vQef58PPyy8JFcOb8o/LjcTIrPEjKOn6jlFgQBO06sqn5wDn0h9f5M6A6hR4csPE1itq87T+FFk7GFXqI0cvkXc8PSmsuSO0X+UwSR9OLEa8mxhp0zd/I7b64/HZrm5IvPWW/Fl85EryzP507C4QJTORakyhXe4yfakrPFLk9hxoq6LAUc/TcMF0c5R4MO5OWHafW/hE4VIteGyowFH3n00oSJl8sSL+jvjj8+GWKsL+EKe/JKmk7y7uHi/EIPmOFKDtv9IYvelPh2C+wEDeVwvMttIwIbzcp8Yi79VBKOecn4ZlR4WsLMN7k0PIdP8ALCa/w7md/wGT4kQ/BPD3Pt4dLa8R6HizOJnhPP+4bwEqPaC3JP5pAruS23HQgQ1NuRT+VRCMyKAMHynkSmuPeJAR9eKX5fC70vNHT/lQeCg1JMeCBWfUrTfyZsLUfAUYJMRsePIrL+vyh+fx5yTOYhuVLI+4RH6bLNyJ9F9biEu+/heVzh/idPHw5R5PpkSzmzjS1M2xK87D6SO/Fvmusw/tXyPCl+vMstAALnSh1NiO/MddKxrrvF/x9DeAtfiY8Xnxu/PrlRpllB8RJ+x+usb/ivW/op7UnSTIrXzs2DQ7cJPSiEpy0QcrvKsbL+fXxZyZSvLvfIsy1yz8plzeuKoTEkTxY1+StHeT2c1Y+f3Yc7Jx+WQnXK7ZIbhtuJemB8eztzeyAd5YtR4/ZpPfmUS2PYsNP4iTx8NsTpe0f34M/Kql/xgF1JGOMd2OMp/aP/KGzSIguvHo7fnhJPaXLZsGM0oTxuOGEl2FEEGLz+OyU4ytnHvAX09eLn12DNM/rNvGX8MYAZx5Tr+yROH4vCjU3znLFMPlDeE2XJDcPtKj0pvo7N4tHczuzwp3T4/EtJpW65lNsqApSoreZR6RcNgb2tL6WalZrliVKuNhRnCo3J5ls8BvTJ3BNWBAAhZfJjlafIfzFh0xxF2qT3H4nwodAkR5DJn3AiwJTRdwwoJZdMIsqTs6UUftuaFCwTb4JWOIsUSpJFh10GgfKjdL0qD9qby7Kz1Tgp/nkSQ/wf5Vpu8RDwwrVdIArbpNrjSztGztPjK3w8KV73I6MvlQeEB/Gjc6fGUbwbhc2C0Q4WZc9kbVzhPeFjwrt2vv4mAcp/c66Osb0hV8/OtVpQmryNNWV630SY/JWjPEqhcOfjWQeFUSjtRCgj2TWLEuHKEE7ZpIReOYFwyOVAOjt5jhmwcOo/IBj3LN+s9t/nEWI5tchi0Oj4O2/s2AILq90evEY5I7/Iso4rnIVTwoXDngIlP/2W7Gd2jC6ML69JirF8jle5PUTAvPLKlG/Bb6eXcm2nzEvoFG5j3Xg0DlncLSCNReMa/+GlPk7NW8LEIZeGRiYLzR6Ol4xpRoC+gEgVpjo86WgtuUW+kGUPSGxW+lzKbQcCJortyKfyKAQ2gsD/JjLLpQnKxMKSSSi8Iv5j9814UBYIJ4qSiYXQIkzWUngpIxYIz096Ai+XVc5Z+lfHVzjB8v7cy5tgNLGavEyQ8W4sIP+eG1/FsfjI7SpHCTdRe6ufAL1xYrCMTFtMiG/i7vFZRNeKn+zKLQAC+nQab/LHu3ZlZmkKPjIJ261xXEd6yp1n6SnuFCy7XZ7xKwWvK4n8hmQRoGxb3vzthMmPpdgzhU/9KYMUTGPzbQmw+MylSatOvqRjnDiqZixLY4zgaQqEuI7s2O43jnq48ixw5S/OQaW3p+EfC7GgUpq8+/PpPOuLbq2EPwzFZSzgD38y044HpQgv6X9y0kKA8p5sGsMDWUX+9XDyVX86QiHOLMSAwiiiz+zqkG+zpKs4u4eAsdsX3BTzi6docuK1ueIZRis738YmGRLvxhD2xtxcOmSutANkLjQnGusvi784uTTzHV7yMu2X4yHcmLYYcIzLAiLeU526+ACE+d7C8qOJyZjB8LVe2kQtNwsCpczPglLF2W4ETOysCYQBpcALpBRp227jsigf74qnbX0vhTlT7vgCAUZQJWiVIyBY2E1sJsdVEY56yAd5lJd7k5dx4fpxAQMy+VJk5D/wXr6lRHnp8aLx0TaC8oW5NxHnssr1+NovvsWHoz/T4q/KoDzmDgH8aoIbblEPK4nPTG54beg/7Z5VywJ2yHPyQNLgU4tBfGdCN8myyuMt4euReqAezz3yLO8f5MYEn8uSw5uOjAnTTtvmvS4i9LTuxWFB/tc8qJsFh+MArPfDeAk+cI6C7Syxc82UGruArJb8OxjwIystkrofRYpc8+4BHhviqB+QuGQYxc5uJ9zh7wV9O0Z4VJz1CM9ZMDAysMKSf+ulqfDdR8CYNG/gJfMjZf71qQY+wQ94AS9ZqHtO0JKz8OfPkGZhPuQLfNXjSm/es5vXecnCTnqGsB5vKdOj/4YX4RabFgeMZocSiJco9vLNY7mtIqCTtppHpS8ENoMAa/sHktBqnfChhFAc4rXKsUJ6idWXbnwCyxZgtzCsihwPCsbv5vpvoeFEmMeZnAmUBYJSNEzACsp/LevUi5PAC2u2vSk9Fi3xmurEZxkRX13Xiz81owqYCwRMViYuSixlaJZKUdBMij0uBb5bro0JZ6gtZnt+w3ATOZ7xnWdKIbKYZKXt+W32in9N6viz59EnfmHqRWFgKe7h7ikIntXNrpQz9uqFjKGHJlCbcznQjtXcHOx8sv7WZxSfDgps3bOs9r5nVUdkIhmoP8RBsO/KERlmYeA4BQUP9q6OSEwymkg/JkYGR3W8sMiqO6zbOG497y0Cdl0s1ByTsZvjJWpjV62MNfOW/u98xN8utDmHko2XHP/r4XjJjpF4ZJA5z3sX5kS8hFj77bKLsxGyaMCbyuiyYiPpK+4EBAiSCd7lVQjsOAIEDMuU87eE1x7xygAAEABJREFUhRX/tMlCuMmEBdLWM+Xlx8rP5Go6M+hrIawVk2Os7UsZY9lQN0ccxKYgXT83zroSgLmd6Ag3VtE/TKjzrYRWbqc6yt9G4k/NqALmAgG7OS9PTZxtxzN9cnQO3dn0/pwoy46VCp84OkFp976GtCKw4tu1ogSzvJkAfdqQoiUvx1ZMwo6FeabcsX4bJ9JvhfCyLXE/UEWBlJcxQVF8dx4o9I6GCFeuMWdxbjGd4MZyh799W124+olrB6rmnrZ0dE/feoeATOvKO+wQ/JEjhjCl+MCffGIM8Z6D4zmUfQsuP46HF6T18iM+ZAARzu83848xxGIwt2s6i1Hv9DCi+L0P8nrNBBW4pwiQHwxDeMm4G1rh7azhL+PQ8TvjkLHL0RlpHLlzXMtxKl9LsuvjpWqfktYo6R0xZUnv6R3XstCzCBVnGlkQ+Kxpl0942DxuMWCRaG6flrb8N4BACdQNgFVRtx0B2+9eUEW23tcqwBdpCBwvw7LoT4uLpwkKE95a8aal58+i4YyfrWWTJsuFuvqihJd4hIs3iSj6rCKULAJ0UpyhH0HpfKL4rCvDsLpfPARMThZxvhShX/E1/jGBWZBOWrBaAFCYfE3JOxO+3iSt1ovvLKvPWuIPFlmLVeHCHDfzBQqLB2U5kmbLnBIo/VbIQsIXMLz4ZsHR23GvZCp/C2pfwGDx04Z/jr82sBDmtlEAjSGWQuGUBsq88b7WGJJ2x2iOMmahZHCwMHK+eYyJnQ1962VjyhkFnRLGD/5+XI+8IRPJGl8i6jLPgsuL/eIJ13cUNAq+fl0LBgoYi74FpJea8Zj0dmIodJTBtdJX2N4gYKfHrrU5i4Go1wJfkR9IGDnhs7lkxksSyTgW5v6teRYHPxmnZIxwu2k+TypMej/YaC4k75JkqpMWTz4iMaTDw/jXZ08dQVW3BJXbKgIUn63mUekLgVkRsLpnceyTPcueyck3jQ16+VAIfj83zo96uc5EksfG8sDa7Wsytvz4seazEDii4xmxYPmcHqHW4/EfE6uAtH3LWVyWU8qLuISUzwVSjJwNptA4ttPrKQ5iTSMUCUOTM6KYOS9v61IcQowFjeLT4z8mAeIi51rFN1nGu4nPwiK+56LFQgDvULyddcc7iBLkxVDHqXwtwmKzt8qEZqJk/aaoU5Z9PcIEajKlfOEpvCjc2Wfhxg3+8QIqnlcOy5kvzuDnnv/w6usVLLiUPf54zxdO+jgwmbPgmYCFs6yz5rLWyd+ixIJDnYU7RsPCJ9w7LZQEiqB0wimTfutBuBfpKIcUDYoqxZ51r9dF/P1MMPOZybumkeSZvrVQc0TKF77i3WBDnsBFfEq8l2ThB38y0G6JMDyED3wYgCzzQqO4PS9l3DOZCpeW5VU/K9dCS1+qyxh//ItPWVHxpLTI8UFyS/pkW26PEaBMG6sWyarCIu+rQz43Sy6QG49KgPFrPHrptPOR+cwCss9neKDzisW3I1/GNYVbfwsfpre7Zleuh1HOHacj41LkshNuLvZOGB5C3pNjmFO/5YhzfLMQVStlfiG6qSq5AQRYNSkVLJQE2gaSVtRCoBAoBAqBQqAQKAQWC4FS5herv6q26yPASmH7mXWKVWD9FPMSo+pRCBQChUAhUAgUAoXABhEoZX6DgFX0DSHgfK9t3d0kx3Ic1dmLsneznVVWa9uBwVbP/zre4jzxdtSl8tiePt0uHB2T28oc6eVAxoXtqs+qfCKNy2++eGbYH7O8aJwunNnhx2H+dT+/fb/bfXPurQiqmTmwIh5YBJy9c0avqLXCYD4x2OrujR0g50Crf+ezf7fSL74Q42z6ZgW4c8a+CLKVOlTaxeWrfh59s/wzTocfix8Wlx92su/+Z0ZlfsxT9VwIFAKFQCFQCBQChUAhUAgUAnuNQCnze90DVX4hsB8RqDYVAoVAIVAIFAKFwK4gUMr8rsBchRQChUAhUAgUAoXANATKvxAoBDaPQCnzm8euUhYChUAhUAgUAoVAIVAIFAJ7isABVOb3FO8qvBAoBAqBQqAQKAQKgUKgENg2BEqZ3zYoK6NC4EAh4EtFfoHQz3r7VdJx438uHv8QenzIr1OeJ9fnhNaL/7jEGcZXxh/Fr3/mjczyi5k3ip9fqMxlh93uZ//zKfJ+oXOFhu7seXhA6MyhS4R8gvX5uXb6zdxv9VObyWJb3HmTS6/fs3Kvz9TtNLm/Q6jX2fVpefZDbxfNVZr+nMcld+L8/9PQVUPyyGWiO2d8/zEkTyR+Hpv0N8/NsSGfi8xl37jTpiW3DV0qNMTGl0+eED/jzngyrmDS6WoJG8bP49w48oScUFcy44apmX4z3skCPCIMPTNh+vn8uT4v1J/1eR6bNFfKzfVDZEcuE50x9ZSEyBP9Se7Fv0Cux4XOFtrvjoy9XhqJTpprd2fIzUNCFw7B6f65wqjTrfJ8ytAiuP+XSt4zpO746M65P12I+938w0PCkPtbx48sM4/151PEjzN+yK2b5YFcy2WVO3V8jM/n5irPh+VKjufSzph/ZNLFc8VruWzebTmDzRddKQuBQmCBETh96k4hMNGaLE2a8Vp2183dH4euGPJJLvFNurPE/6WkuXvohaEHh64QopTk0oTdMje+ubyVzwYmi7l1JgDKWZ9kekU9XzIPwk2qJp8H5pmiC6tX5p5Cn8ueOnWghJn8KNEvTm3+NkQxopSdL/evCAlT99vl/tMhyqdJU5hJtM9Pf5Cwq4feHJr2KdFrJsxnQp+aqzz/Itc/C+FRvPnrubcAcp/bfePgScmiAA8bhUeMPcqL8fdbCXxECOZPzLWPKwpJHufGUZotPD6VGt0iRKnHC1fOPX6wYPt47ilI+lkYvjgUPzz32FzJmY4HXrtp/D4SmiYvfjtheO7fcoWPPPGw8ilcwi2aEjybW9BY8P3l1B0Nxwnl9dLx95lVfIXf/jXPsCJ/LLDIdenjPbfuVKmZhQjZ+Ze5v1PoMiFyQhv5Gw93ix/e0v+MSTfJ83tC/C+SK6ODeHiC7PpO/L4bGjtYUd7NXQwY8HpLIpm/jEsLIDLJwjveW3PzDv7WWlepC4FCYCcR+HIyf1LIDydR1nO75Fhyfid3rA5fy7W7r+TmySET5TA+ZUP8eyfs6yFWfd9uf0PuPxsiKOVJ4LLIvzV+bwxNU+wSdCCc9sPrq2nti0KfC102tJfu5Cmc8v2hXE2E+tzE/4E83yVESVBvE6B6IzxyjoRJ+5+5fixkojQZ8pffQ+Pnh1hyWeXsYNw+viyKFjTytNijAL4g/srL5UA7GHwzCMDG2NE/184zpSSXuXD0EbLE1W4O+WKBRtE27ru1/XupLZ7RFlcKN+XoTfG3KKS0W/jioevE72Whd4UmOWkpbX+dQJZa/OqHvlibLSzhlqByAwRg8u08w/+9ueojBhdjO49z6+wm/1pqZ9FnsfjJ3NsFpNCbb/LY/DZAl6naRyZRtsklfIEnxTUXWST+XxIxVvwo17Fj5DJvkV3i4S08ZlHgfhx/S88GzZYyqMR7iUCVXQjsOQLvTA0oXLbyc9soB6wXrCD/wWNE4rOu/cpR/2F8ApM3gUo2mWht/SLC0nYmS5ut9B+IWLSMAFxYaVkglz334IbCRYmyCDPpq4LFGAVdv+MLfmMSR/0pYSxW+htvsJCZCDtvjNNRIBzhUZY4ruM49bwSAbtblF/WxpUhe/ukvy3yKVMUdrUhCyheFCi8IQ7/IflxLnwgjuMhZMfxieCoDBlioSufeK1w8jJuzhpfcql4J0Bs0DHEnCVpPhyyiMplbh2eJ1fwl0rqbwq6+YXSjR/4D0l88YTjMUo8PwthO192uRgmhmnci0fZ/2AevhDacYfpd7yQKqAQKAT2LQIfTctY+RxjIE8oa46I2PqeZH2gbBL8v5F0w/isaj0+AcvC6mjGIxOPBYUgdmTCmXHh8d7XzmRgi/Zf0spOrIfw7ZOOc5qPPhru7Ket3Jfkebrb+RCLLMqX3ReLPHX96RTrXh9Stijttqe1y1EcizRpXp54JkdHKBwbunyeKQvOwbME5nGVs3jwjsH7E9In6dweKAfPv0qL4dkJX1hUxXvJWSA9PHfCvY/xjNw/PTRPCpi6sKxbbLCg4h2WUUdvKOXaqb+vlXqz3GuL88+UqX+PnzY79vG+3DuXbJFHfkzb0ZE//qJs2dWitCXpgXYUW0ck7arBFxmTdr86MPrELpswmMP7MQm0gMplbh0DA/njmIwr5dxChOWdvDUfOY5m97i3TVtfnxaRrY7w4TXK/FXidzj0v6FJfGNXEc/auSATE21nncrvbAmVeyFQCOxnBChQjr38YRrJcsY65oUhyrzJOd4r3DA+ZYPAc6ZwGJ+l7VFJJU/nFW1NOgNNkXdO3PYniwdBnGj70rFMmiwoup28iGcy6ZPHt9Jy7xaYSGEuzTSlN1F3xZm4HE/4r5SGLNBem3vKJOXJNrUzo44DsVzZgr5Nwr1f4aiMs/GOVFjAWcz8U8Kch9bndnpYyOK1yu11u1dVaBc9YO6ceecTV3zhWE2vhp0POCKLQIqxsdjD5+GKrynlFngWGniHMsRQoI2UKGf9KVz4xdl28uAeqbz2kxc3zj1DAGUT/+AnyrzFHqUNDybKCmfczLsiuqLCO/gAY0fTjFF8dLOURZH1nkJulxz57F2GP88THnOW3jWPc+0Ykcgbhg+LNwtHFvZed8dv8NoN0gptN5f9fe4d97xGrnjLOxlephaXgcJCkIGK8WLMW/jZuEvSnXelzO88xlVCIbCfETAJOt5AWfNmP2FIgP1PGk2Y5bLCDeN7karHJxCHEW2LOw8rDy9YsZSYUJxDdIzHy3ws1Sx1w3T75V67TTIw6OSZf2+j+2/kgbLMem2iobDEa0+dRYaJ3mLNsYkLpjbvDplMhVmQ9DY53mCxxopKkaBgWhTeMfEt5NxT5E2cznqz2rOoJXjJwQCvOA879F8KPCD/YDDEFLb4YriYFgf//Hcw8dUWL/0Nra3xngtHUbSDYLcF76ijr4B8IrXDG2SL9iE7dH0hi9f44QF8YyxQ4r10TS75sharPctzslpyMCGPjBmW1CXPA/4PJvoAlp3wEpw6NOLgN5ZuC3eKrHcdxspsjz8vV23w/g5ZgbcsQiz4vF/DyDBud1/4kj0wEG7BaAyRWxaTl0vj7A7ZGWPdz+OS62PPrtKu4FLK/BLu9W/vEagaLDAClDQKvRfJvIT4jrSF5SOXic6xnB7flu5a8X8/OVDovGTkmAahapJh9SUoaxJuSy9tsRRZUPnyRiCbK+fYhM+veZGRFXRYOYoBBc2ijKLlSA4L2NsTiUXMsaIv5l66V+XqKyWsyrldchYAzn6zopmklzzr31QEKDSvSahx5MXiXVE0Ut5mnTHPEs9CP2n3hYIl735swpds8ISXXskNssIixkua+NAYER/hPe9yWAza2Zp3LNR5ngh+FFvy3Euki6ZPkiN4iyJv4d0cimEAABAASURBVDfGFl8g8fCG46M+gWpBQFZZ0Ehn18fiwI5XzwPPOTrquJiFZvffseuigb9jQFTGhUAhsGkETKi2x1nNKdiUBRPqtAx7fFYOE+y0+M69mpxtubOemJhN0ASnF26d12fpnVbOQfKnlJg8fFViaCHaawwo2axWJj0WYUqTbew+8VHAWbe8pEhh96k2YXYaKAsUfUexnF018Tqjin9a+3HLWMBel1tfK3G212f18rjkWPEtbkzESx71bwkBFlXH2hwxsHha8pzDfxQmn/NjpXfGX11ZQz2rLiXJrh3DgCMTeAv/4B0KGku+xYB0dgCNkfGCwFeWXp3MHNWxU9h5xVEK8qk/J0q5CQjA2EKJogvrCVHm1gv/kz2+AU/OOJplJ0ifU+Ad/7P7Y1fR7g1jlWN/dp0thhmSvHMhDYMDv95Yx8Ic/SLfGCe6TMajPuNJxvW423ItZX5bYKxMCoEDj4CXhCgIrKSE3XqAiE/5nBafwu7srPOvtjQpds5RU/xZ5Z0f9+nLtRYN69VhP4WbPHwm1Cc+KS572TafhGSts/jybgOF2wuvnp2DtujzwqtnL72+NJVVd0oaxd8uDIVTn+Mp/o5ZOLdKYWddTpJlZ0EnnXO8LPryRRYAdn3ksxy5bpox4wVjx08cb6K8zAssLJ++xa3/nEe2GPNNcNZPijheoIALp5yL410aOzsWi+SFcH1ODuFDyphjW74xru3DtloYekn2PvG08+NIl7y9JEnJl0+Cyk1BwFgkx/WL33qYZ53ytGkDo0HvY++VeB8Az1DmKeTeyxGOr7yTRW5ZsDg775iftmoz4xKZxZCAfxzjYoxIEcuO7HOczYKBPMNX0tjJxsvLEbfjZp6B3472VR6FQCGwMwhQmvzIhslSCYSTT3V5caoLNZMoxZLiznrDujGO73vOPT7rao9PoLKUmaApg8owsT4oNyxtdgAIxTzuO0cJYekysQwbZ1HjR6NgyJrE6j3EwPYvy7QXkofpdvueMs4CZRfFC6tebDVRqodJ0guurKrCTZjOPVOqTJB2Fhyv0dfis4yx5Ivvc6bi8B+T9D5Zijfki7zsZpGDWOkd2bI1Pk67yM/w9CIxi2HHTHvwhU8u4gXjz7iyCO5xKCEsi3im+0m31+Q4jR0Y/WdBb2fOuzJkgCMPFvDCEEuwlxkdaWCJd3bbcTPKlnbo93vlBu8492wnb1Jb5WtRKZ58ESUPr1Dw8SRZlqz2tTOGvHSPKLe9sRbesPWlLLLH8SzvuXQsYQNflmj91NPN25VS7is0+EofOwLDmGSBpy2+YsMf4QWWezuKPZ33tMTVLvEp8OKSYd5b4iesk2fvgjFuiIcsThkY4MRAQSZ5J8RzT7epaynzm4KtEhUCayFQYYVAIVAIFAKFQCFQCOwOAqXM7w7OVUohUAgUAoVAITAZgfItBAqBQmALCFDmbSEUtVYYFAbFA8UDxQPFA8UDxQPFA8UDc80D0fuH9TsPZd7ZoKLWCoPCoHigeKB4oHigeKB4oHigeGCReODDlPko+OUKgUKgEJiEQPkVAoVAIVAIFAKFwDwjUMr8PPdO1a0QKAQKgUKgEFgkBKquhUAhsOsIlDK/65BXgYVAIVAIFAKFQCFQCBQChcD2ILBdyrwfnfCjAX7tajN5bib99iBQuRQChUAhUAgUAoVAIVAIFAILisAkxfukaYufMfaLaciv9Z0ofms5v772J4ngV7L86l5uN+Sk/9Ok2Gz6JJ3ZnSwx/ejBRXIdtt+Pjdwsfn5IIJdyhUAhsL8QqNYUAoVAIVAIFAL7D4GhMttbd/3c3DDk52f9itzFc3/B0E46v6r17BRw75BfIctlx9wpk7NfFPzdXIeLFL8md7f4+aWzXMoVAoVAIVAIFAKFwIFFoBpeCCwIAmNl/mdT7zuEXh96ZuhFofuF3hXaSXckmf9P6C2h40PlCoFCoBAoBAqBQqAQKAQKgUJgHQTGyjwLOcX6PEnnG5u5tB/kH38W7Wvm/j2hd4TeF2JJP02uk5yFwUMSIO67c31u6KwhzlGWV+Tm7iEK/DNy/YfQK0PKyaXdMv/eHzpjiDtd/r015DhOLkvhb8rNX4RcP5HrsaHfC1mIqJ9jO9Pql2hT3c8k5IGhtx2lB+V6hhCnDU/IjTb9d66PCzmik8umXSUsBAqBQqAQKAQKgUKgECgENozAWJn/anJ4bOiyofuHHLk5Sa7i/X6ujqHcIteLhi4fEs9Z+eFxlXgvuXPm/8tC4oqX29YVcfenzz95XD3Xm4Y+HtqoO0cSOKMv/9vl3hn/W+dqd+Equcr/OrluxGmLtp45iaS/ZK4vDp06BIvb5vrtEP/L5erF3z/K1bn/XMoVAoVAIbDTCFT+hUAhUAgUAoXAjxGgpP/47if/n5Rb1m7K69/kntXc+XIKruM3rNXxbp/JvxeErhdiyc5lhWNFf/VRn2/k+sHQuULdfS83jw99PrRZZ/Hx1CSW1wdy/VLIs/P+n8s9v1/OdSPOzoSdiAskkYWGnYk35v6TobOEWP7/OVdtUobdBAuWU8WvXCFQCBQChUAhUAgUAvOFQNVmXyMwSZmnvL4hrWaB/61cvRDK4u14iaMr8Vp2782dIya+EJPbFY7fU+LzzdCXQ3cJ8ctlyVGYv7J0tz3/1PuHyeo7Ie6E/Ov3uZ3ZSfe8xLaoeWSu6uiYjR0AR4DsBthx0C7kOI4vAE3CMsnLFQKFQCFQCBQChUAhUAgUAjuDwFoKKOXY0Rfn3n3pRQ3GVu5fiSeFmRKd22VH8XWe3jl3Z+elv09CWdBzmcn5qg0reY/s+Avqz5u9yvfTSXyK0LD9nn3v3hd8LDQo8up/jcTzqU5fwFEfaR2xcRYfscjfJHHsEuRy4F0BUAgUAoVAIVAIFAKFQCGwSwgMlVlFsr5TWrsF3fEZ58IdM3lJIlBixcltO3v+OZf+/Fy/GBo66Z05/794UuB/IdfzhzZyrtzLr5RnZ+8p2hTqXnay2rSzSHHkx9Gh8x3NRf7aQpH3Iu3F4s8CT7n/UO7fGWKx/1SuvrpzxVwdQ8qlycPuxRhLYUWFQCFQCBQCayJQgYVAIVAIFAJbQWCsgHqx89zJ8IUhL306G055fVSefSHmX3J9TkiYIzTOxPuyC0t2vJfdt3L39BAlV9zDuacMj+PFe6pzhMenMb2Q+6zE+sUQZTuXLTl1kK/v2j8iOamfs/8WCnfNs/P2LO5eABamnc7GvzxhXw/ZYYDRv+ZeuBeA+Vt4xKtcIVAIFAKFQCFQCBQChcCOIFCZrkJgrMw7206J9QlKL7ZeKSnuGWJhZ33/69z7coywP8j9Q0PSOGbjOM6V8+zYjW/Fvyb3lw6J6wszvljTv2bD6u6F2lclnJP+wbnp6XPbvpt/jupcIldf1ZG/XQIvuMar+ZTlhXPjpddc2v/mnx+38pJubpsdgRvn5l6hsVNnZ+JZ2NXPURpfwPFOgLpbpFDSr5uE1wrBgJKf2+ab+7dqrV0tJO09cmW9L2U+QJQrBAqBQqAQKAQKgUKgENg9BMbKvJJZrlnoO3nmjyi63b8r7fwRhZwC7R5Rbink4rs63uK8ujBWenHl5xmN0/NTtvTKci+9aw+Tr3I8u3oe5im+coWPSR3kK380jCdMXvyRug3Ti8sfKWMYVvf7B4FqSSFQCBQChUAhUAgUAnONwCRlfq4rXJUrBAqBQqAQKATmE4GqVSFQCBQCu49AKfO7j3mVWAgUAoVAIVAIFAKFQCFw0BHYpvaXMr9NQFY2hUAhUAgUAoVAIVAIFAKFwG4jUMr8biNe5RUCe4PA9pR6qJ3QDrUjA/pmu0/7i3aQ/w61e7XDq3D5YDvU3hakfN621d8BReDYdsV2qB0fGo4Z9+9rz2nb8bsprf4OCAIPaGeInPlBWyl/v9KOa28PnafV34FGoJT5A9391fhCYMsI3L0d2/5uy7nspwyOtLe0H7WrtEPtYu2YdqTVXyHQETim/fiHGE/crtSu24Yfa+gx5uhaVZlrBI6077YT2l+ljhdvh9uHcy13gBEoZf4Ad341vRDYIgLXaIdKkW8r/3ze9qbtfs3vc6wMqaeDjsAPssi7fjvU7tbu1T7Z6q8Q2BoC12yH29NCJ2wtm0q9HxCYC2V+PwBZbSgEDhgCFHk/nHbAmr1uc7/aDpUi3+pvEgIntA+2/0hA7dYEhHJbROCY9upWO39bBHH/JN+vyrxzqmdON/1yaDNt/H9JJ+1Jcy1XCHQE/HjZq/NwptBBdX7d+bbtUNtLRb7N6Z+zq5eqCXZXeufkKeVCoYuGfiFE5ucyt+797Vfbqdtz62jNHPSQef18qcdvhs4ZWrR3Fz7ZjrTztkPN7920+psrBE6c2pwjhLfwmOc87rzbjKK7Vq1+KYF3CV0lRNjm0gyU38rNH4YMolx23AHQL7g6y9vrMWuhMPHLtdL+3KyJKt5cIHCS1OLGobsdpavmOnRnz0MPc/XrwvFqp2ut/XGIX6fb5vn0oe7w0Q3y8NrQl0PdnTE3fxa6VAjvnCxXv45811x7XrfPvcVhVzhOmedrh3oc+aoDIdD9elq/Mvw7iXvHUPfr13H7EmXH3d3axo/WkAG/11rTtl/MdS1HCIrX2/irRyNT2O6c+zuF4CHP3EZ1bu38ufndEPxz2XX35kyuD27va5dIbbbT6kpe3iSt0c94JrerHBzI184ffmX7DKti7S8Pbb56mvToEGy8/LdXfZ8qrOGckT+mPbiduO30GXlz3h+lJvhlKLfitezIH1j9ZXyMMWPJuMrjfnfL7cMn5MfD4nPNkAUh7HI75+4H7buRMw9tx7cbtsNtJ4/xGV/mMHzy82ug8jMJ+/MQXiKvzV94LF4H0mm7ef4+af2NQuYk+kBud95h7O0s5ZLJ7EGh40IalUvEWGuUY8rLrjWsbf7PZPymJL976AuhcouDwG1SVYrNu3L9duhvQ5T7XJpJ7Gm5+VGohz8295cNmfxulusPQ8LQf+f++6HuWHCstF8eD3nk0i6Sf88P/XXo8iHjidJ/5dyfJfSekLzem+vXQniL0n6v3JtQ+Av/SJ5ZWdTRZPypPPNHH83950I9L36fyPM1QhcL7a471B6zwQJPnfhe0vqHXB8YOltommNlvX8CvxLSToszfcjf4upU8f9i6IYhhoNcGmVEv1Ng4ctvd+lQtrsPtbu37bW6kp8vSkMeGbp+SNtzWeXw7y3ji0dg5tkkfNr47VdnjFHiX5oGHhuywD4+1/lzh9uH23HtHu1ebSfPyJM1j0vjGaCME0pWHlc5PHUovuTcu3M9b+gBIWMolwPhyBR6yofS2nuGnhsayvk8zqk71L7TDrV7tvs2+slOyTqnEuhv+Amv4C1Kahv98TcX/HT88RKee2LuzWGT4ido3zvt/rW0kn5w31zhQw/J7c47ysd2lsJ69Jlk+N3Q5UIsS7kslDNIPp8avyP0vdCGXEXeUwQMHpPZy1ILVruR4khuAAAQAElEQVRX5koRInCumHtC++9zFU65/GTurZ5zaQbg23IjDL0m998JcSYAVq+P54GSn0s7e/49O/S80HNCQ+eFpA/Eg+Ivr1flnrKVSzMufj036vqSXIW/PddeFqWfcsIfOWNL2X9F4nhGX809wfHUXOfd2ZGDMaXrh+tU9uYJ19an56qdj8iVkkZBZX3XXjgYo10BuVriWHRT7PjnceGdY1wWiPjgoeu0xuLvrYmDF2FGobt4nn8ltF/dadIwu6aOfOX2QDtY2JX5ZlAg+8ie3E504n06IU8K4RVGBePoMnlmjc1l3zsLQdbm9WTRvgdiQgPtUNglZrhibTcnToi25GUHEM+QN3jpcHxhap5cRL0v1d+ygwfeolevNQ63XNCkDBQ6yX8rft9IYhYllkoCN4+rnM4mQN6YkLeE/ivESjreglc/yg9lSDznlSlCid5Yqq6bG9YoYSyXFAaKW7xXOROkiVFc5VmRnzWxWGWfkisl799zpYDZXaAICo9Xs7NgwqRQtPxZtFi53jv3nCME4rMQUgLfF0/KoqMX8lUehc9qNkErnM5Xpm0Z7TWgbp0Y0ikH3SrPrwup+7NyZd3UfuUpi8KnfKviBB9YR5h0AWQw2Yqk9ALk6/nHmqsPYUwZh6OFW4LWdHjngomhD/tKm2JP6D05/hTOXNZ1+pdia6FoIbFuggkRThE/FvkP5rrZPJJ01xwl07E7fbGess3qjof1E8Gor4zPvnjRdhgiebHOylsfMCDsWqO2saBJWeHJKyXATgaezu1ERz6RKe9MaOd7uzZk8AXitwhOGyyIyebXp8Lksp0Yuy/vz7OFLtlHluZxaRFtt+bCebhdyFzTw/J44Bwl3jE+xFgxDQBzsd1AGPd4jgvC2JxqnpmWdl797fQ/KpWz4/rCXPEJveP3c/+GkDkb2Z2lc1DkjSlHtPCXxTLls88RSXKgHRlCOYeNRd80MMhkvMSA0udDfMjQ8htJxLqfy0I7RhKGO0YVeqrfUmHUI3f+OS0jl+h1dMBT55mjf5JJjihZ4NwhnuaxXHbemRS3uxSKjcbrXMr2OH8Dh/BgJXhIAh2LoNhLBwiAxXvJUcz7lo94ziafOSHqDTBn/m6RZ2EGsHwcl5gEIMXt347GZaWVh9VlvJYWBhQkAlG+Oor/RoiwdGbMEQuKuU63hWmSUp52Oce/kTzFpdyoE2y000LjZxOgHPlRZiiIMLcttohCOc3Zduc4i4Wgycrk9eKUQOA/PleDzvnrf8q9hVwujbAnxJz9w1fOUuJVxMpJeXyBiDOQxYJJxfsjCG+aeCijtrbxtQWbshxBwSv4UdYsZRZpwhyXcHyEfyfhjvdoz1qKXo+/SFe7KRRZyhohSUZY1BKejiTB0pESx3DwOZzEpcAuUju3q64WPRQUC9WeJ163o2jbG+92/3m+si7/dipoF807Io4Ikc2OZjoS8cyE6WvxLKKNmf+MnyNI5B8FNY/l1kDA/ESWWDCTZaK6WihTvsgsfotG+J+sNi8yujkZQCfwjKfMiebKc6dhxoXjs17ef0aexWccg0MeF8XteT3xCwMXrIfYeabom+f2vJLbUAHylWGE/mWRY95mWLUIZECg5zGauKdzOitPJlnkmPMtBOi121CV9bPoCsT6MTcW47OJTnEy8VLc87jsCA3bwKwCQBHgaAHLMmvU0DrPukoJtpXOgmML3tEEQh3A0rNyygMjKdMCwkTGb0iOUIjPz+THsnkuDyHnlaV1PjmPm3K2fCmGVqrqwmrKYvCx5NbLI1DyuCGHGWDijDSF0E4EK6f2O44gf2XaVWDRYunfUAH7MDIeoxiwnD8h7aPgUACtpPW5AQk/iyLWCEdgbCsS8qyc0v9N0hmklHzKtmMz8oj3mk5fGPiUUOXhBQsHA98KnjJOGOJlZcnMhGOc2GGxYGVhEmbHx3EcvC8eMkG5UmaMD/f7hcgNuJAPjgy4GuvGj/4wARvDFlVeWMb/Fm2sIBZmZ9wvQMzYDpMLZWbG6HMbzfikVBkr2kPJYlk15oQxVJCBJtdFWaDMG9h2ci2A561eW60P+U13sEONN8jqLyVTBjlzpx17Rg9zr/AEldsiApR1/LTFbOY+Ob2ATkC3U1mGODqDkyIWhgwLdEbn5Omp4uwZ7ZQybxDZ/jSobDVQQnsjlUmpsY1jkHV/1jWKE0bpflZF18oDqzoFFgGTsiUP2yAJXnasdyZ/+Sx7Hr0xSVAGdIJ8Wfl6PEqRnQTXo9G3dNF+C4R+Dtrq1aS0mUy1kTWB8kKpobhQBrXfzob2IMd7+Pc2baasFWkW+IEywPLNQmPRpim2yR6cGwoixcDiyBltll39brHnuBNiIbYYYx1kJWSZpzybOJLFmk4cE4t8kKM5doQcCcEX/5fUtiP5CWd1dEREvSwWLMr4I18KIEDsyCTZ0g6S3Rg8Yfzw209kAWSXyZEmi1J96CymNlv8w40VlrUWBhR7fWQsewnLFvpBmrAtfsgy8mWR+cD4I9u0gYWLbLMANi7INmPPy+cl2yC0OTIXky+bSz2/qfAOZYvcNfYpmQw55CzeoXDZvRnqIPPbmsWombGKnxajtpuvJR0Ob/UcLIbNPQxteMuuFqMT3sJ7Pd6eXCnWO1Wwhjq24myVYwG9HIOPkuu4zHA1w+piQI6VXkoLa6RwVjsrJQqWPPpn63reBD7L6HCRIIwi77iOzmDJo/DbEhmXJe4kUi/Uw+BmQbEdHWgixjQ9b3nCxZWfcAoeK7P22XWg4GAgyo62Ic+2UVmzpDuo5MwevvPOAuse/CwArxBAKIssNfB+c57vEbJFKzy3y064lyr5+wIEfqGg493lSDPeUOApohap+gjP2fLGP7LQzxSYIX/xRxaYdq1sXYpjHOBflmnCRJz9QvjbDpx3USyk9IF22u1ydt7Y1VYLNePAV4T0j2MD/5sAij05A6s8HghH2SUrnJvHRxqNP/CrHTu8z2+3aDvKMcaMBfLZmOmyTb/a6VrENm0HLlvNg9zBL4wD5i/54R27fgxpwvktOuGdf0wj7IB23rGD5d2d4p0Asw2OfkXPMteal2SJp+wuk8WUfX77jbTbLiFLPN5CFo++XGNs7Wl7dcBOVsAKhvJNCenKi8HmqAjLG4un8k3KzpWzRmIGfohF3qoaw1gJ2k4DmtUSZczETskXlzIgrkleXH6dKFEGd1+ts8w66yTfHmetqwUFhYwglIal1HbeduBnUNhx0A4YOQbivJU6qxPGcZ5fWbBhmVQX1irfySWMxaMgOmNKQHs+iOSdBdZZVloCHa/BwURFOafsWfDwo/TA1URGGRIGY0oRvoQ7ZZKAco7b5yKlW48c9XA8xiAXF29b0DpCow6UTrwjnnDlqIuFql0odeGPFzzjN32tX703YVHRdxvEW2SCuWNF+sSYhrPFFcusdjmXaXsc3+tDz3jcDhtl1dixG0XRgxsM5SPtfiWLUoseixtbvHjdkTEGDm12NAwu+M3zopF+tuC+RCpOFubS9LFzz10m8itaHwG7fV7kMz7MYf+SJHYIzX+5bTA2L5JJ+8E4YCFINtItKJpkOTlMTyA7tLlocwiYp7zDhV/oV/Q6u9t0IjjDm+xxImMDyvzmKrNHqezyMDIZN2SROdrvonQM9qhaPy6W8vLju535r+E+J2crmFKiFKtjygmLmxcEKPC+YMDS7lys1Y94SDqKkaMlXiowaXkxEDMRTNL5EoI8nE8Xh0W2K3HyQCZ4X7yghIvL6qMcVlPh6xFFzguHXpx0PIKy7cXKcTnr5TMp3MTrPQCTtKv2UdhYZcVXTwpPx8BgcgzEWWpnq70cqE2wY8Ul0KQ7aGQL3otx+AWWzlDDBX94l8ALUbChoPP3jgS+8K1hC0RXGAvzgyLC8VffVsOLQ0xNGBYMFo/40ie99J86eJEWn8hLHPzqHL2+xLeEneM1wh2h0pfe/aDUqy9/dZGPIyQWxSZm/KtO0g/rMs/3+gOWPjNpQWLMG6us7Rb58LKwYWF3ZIa/CQEGsIKL+PrXy0UfTmNZR/QlJZ8y6+y8l2WNCzInURbaUV4tSmEAE8qI41qO1XknyBc4KCnaiq8oZ52vfamDn4lnEUEgU/ELeescPQzs1rCCzSqvF7Hdm62zRZ3jeGSP+Yli4dOTvvJCLgmzm0v2OFJowcxKDdf7pVBjxvly4ymPC+26bkEekOfaaB6wu7ofFis73Tl0NPLD+DMH2tEgc+lUDEs+SkDWGIdksjnKFc7mMDvf5j1jeKfruhf5WxCTrYzG2gknugYdbi/qs6LM7Vbm/WgAyxoLeC+IhYiFxeehuoJKiTLITPSAAQilxeTc07k64+fspG9VI8JJfgQPBYkCSyGQh7woCtIQXL4kQ+m2SMB8FF8rKnGdwXUG/aYpxHEgX8Ah6KSTt1WntL0d/DE0SyLLhrpKb8JNFk3elD5KuGd1c25PGz1LbytGeZ6HpDwvVPjyiheAneP2MiYlR939uIUXiVmmhHuRkiWflffhyai3H77y0dZ4HzhHsYEZAdQx0deU7NcEDVZbX8rwxSP+8HaOnj+FkJIEY4TPfCrVwsmOj10g/ZRslp2XY/CNuHYEWPOlJfC8YIunlaPPfM/Zy30SO0KiXOULtyNlQWBM4DF8xF86POhzpISjHRkLCEqbfBaFjA3WdFYbxybsUlBQnXknGO2QsabB1zEK47xjR4n1I1KwJjvwvjHfJ2ZWXJO2PpW/90YWBZe16kkm4SN8wCJm1w6fOBaGt8geix95sGJb9Pl6kvgmXTyzKHKAjMUfFDDKmDYxSnhx3eJVm4xhRgvjQDh+wCMWiD0N/4NI5giyihLGSmgn0O8yeFeN0YosJONg4x0LZ3y9lwJXV0qJcSR80Ui97VY6QtsVKngwApCd5DHe8gWzbgBxJX8ZzRZljOxWv8CDIQVm5LTjeuQq/cPCz3zIuGLMkVFwN0bhLJ4xDP/dqu9OlqMtdhvsfmqvsuBjHmZMMT8bc3RAxl5x6HkWP/RLpyek2TXabmXehKxBGtYb4Z5fF8RDfwpYJ0D1sOGVf48jn2GY8nqYq+ceLt2wzF4P8eQzDBfPc08rH37SDP2kReJ2Ei6+PIfxpecvHInPz/2YpJNe3q7Sid/jSScMue/+4vFD0smnhx3EK2xgMSY4wWMc3jGGG/x6OvfGBoHvOMckK+c4TU+rDNSfXXs56oA880fKkhd/9eTXST78UQ/rcfktAvV69za59jbDod/3tmizOJ2k72HiDp/5y0NcYYuGjfpPIu0Y46CN/DoN0/ETjtxLPwyf53t1Vedxv/LXHjTuW2HS6Pudatsi5QsHOA0JZvxd4dXbw6/HG4f1OIt01R40rLP2apt2uo55q3hniNbKe1jCbUgw7P6w7SngOow3DOtxFvWqbdo9bpNn/NPbDZdhGz0LH/rtyj2FZVcKqkIKgQVDwJEQX7ixxd+tPgvWhKpuIVAIFAKFQCFQCOw8MUxR8QAAEABJREFUAntbQinze4t/lT6/CDhHb8vMS9fzW8uqWSFQCBQChUAhUAgcaARKmT/Q3V+NX0QE9rTOh9r326H2gxV0uHk/pR3Yv8Pt7m2MSX8+0nzpodXfAUXgcLt8O9y+1w6Nxozn45qvYbT6KwRmQuAB7QzhpW83vLOanO9u9XdwEShl/uD2fbW8ENgMAidJop/QMVFUWvMSY7wPqDvSTtSOWVLMfoJLa+69LHZAQalmLyFwfPupdmSJF/DDkD7Y3p+QpUg7/q8K2D8IDHmo338qnLRfXjzdPz21yy35qV0ur4orBAqB/YXAXdtxzSfJ9lerttKaI+1NSf6A9r52qSj5R3JfrhDoCHih/gHtSLtye247vnvWtRDYBALfCR89KMvFG7bDzRfuNpFFJdkvCGyvMr9fUKl2FAKFwGoEDrUXxfPHx0Z+qt2zHdOu0EqRDyQrnE9u3rQdCj6lrLX6W4GAL2Bcrx1q92qH2/gzzK3+CoENIXCkXa0davdoxzafoi2jQTvYf6XMH+z+r9YXArMjcKT5xT+TxsPavdsD23HtFbMnnhxz3/l+pl2oHW79u977rnnVoC0gcKSdth1qfiflSKu/QmBrCFw0cuaV7ZhWvLQ1HPdN6lLm901XVkP2AAE/1vOqlHum0P53h9uP0shvZgL5WOhI7st1BI609+X2je1xSxjltlwhsIyAH4p7Y3t/893qZc+62RQCBzvRkfblqO9vipTx41cHG4tq/QoEtkuZl8/vJOdbh04V6s69Xw+rN607InXdbQQcCzlfCv2r0K+Gxs4vt94lnn6lFZ0/99zP51/3v2vuLxKSVy5L7uT5f/2QXx3tv/bm12LvGT/5IL++eLI8+1XTof+d4qdc+VkIGDfiI78uJ41fS/2zxOM3pDvET3ty2QN3TLtLO65t9Iz8iVJTv0rpF0zPkvu13MUT2LG6Y+7PEOLOnH93D/khr0vlKs9csqxoza/I/l4eyKFcdtkdaW9sJ2pXb4faJVObrSxyTtpa8+uBdkBOmftJTrvxFZ7EF3gERvjlNknAb0i3j995Q7vl1M9c0Ot3ixSsfrmscueOT+/rO+f+50KzOGX4BVj88ItrJDCO/NpwL8M4m4brGtlsIeiY5hckHbu6ZHtu284z8l5+ZEzQvv83pYbki743jmBg7BhHcPGL1/yGvAJP40+6KVluu7cv+vxuclU3dcH/09pDZpIh4pGhs/JLsm8dr5vm4fShSY6+cvMEdFzw7pBf1OsvB+Hnyv3uYfWD9t3IF+P5Uu1+bTvPyBtP5ih84lde06yJ7mfiO6n9fnXYr+reK+Gd/DLvT+d5Xpx+JB97314kFZvWd2dMmF9K1hZ8eck849Nc1nTywxPSXjgxPeeyysnLLzD3upjTjctVETfisV2TnwmMcnPvFO5n6nNZcpfPfw2b1qgEz6mrau0XBK6ehjwr9KBQV9Rzu+Sulv9/G/pC6K1H6Uu5UjL4EwD88ff94/9roe4o7ufLw7+HWKxNmk/Pva8KSPPV3PvBqSvneqUQAfH2XIXZarcAkK/Jw5X/hxJusrpJrsbMe3Ll30k9LY63PPCT7+bccbE9byzlqRPdxPsPud4v9EuhaY4SK85nEkGbKe0+e0lhI0dMyJ9K2A1CZwtxJp8/z81pQ3DMZZfd4fbadu9GaWtb+KOovDTp/yZE0aJY5HaVI18p8J9ICIwoQiYD8d911I8/wsv4C0YJ2hVH5lOC1M+PrllkUUDGE/ulUxvj8pu5qqtJ8Cm519e5THX6mdL5hMS4T2itxaEFPAVMPd6fuJ4tMozrPO6CO9w+0g6117ft/TtrstP+R+ZqgXKGXCe5X47n4dC3QjA4e67kICWYrIF7J+MKPvoh0XbF0T/IRvLO0TRy0SKN0nWaUQ0YA54cv2+E1Nl4IV9nkYVkzpOSDl7k5zS8yBh8CqvOLzDBL/jsicnDopkcN97wK4zJ6gTtsDvUvhNDyrPb4XbCNpZkfOARWFJejb9J7cFz4tDztF//wMO8h5/gSt7oG/RfqeP3Q/PgLDYekYrgA3VXL88Xjd+4rfq5zznikk/m5N+aEDdeKxzZTKY9JL6/GcLfuaxy4l0svr52Bif1eEye1TOXzblphW00N5PoG5OI0DKxELinyzNry8tzfWeoXCGw2whQ3u+bQg3cMQ+a2ChO/5Twp4ZeeZQIJBMMYf3Qo34G2udyz1Kfy5KVh1X+Y3l4X4j7/fzzS7GPz1VeJg/hVvWEr8nTkRxhr00cinku7YH5R0jyf27uLQ4ulCvFlVDk3+mC8ac0vi3XRXEsECy1BOIP16i0SYUi/4bEMUlqM0WFULxR/Cyknpbrq0MsnF1BtVj7bPxeFiKHctkbt4VSTYZ4Ud9TttbKiuLz5kT45xCMHpUrjM6TK39+nfh/MP7/GdoNZ2L84xRkLlC/V+T+0SHWXspXbpccRcACzNj5u/ioL0XiHLm3UJNPblc5/hZ8xgGlfL3+Nqk+LLnI//m5Uj5MouanPC6ko2xaHH81taf0ki25nejMv1607fINxmdKTItkL2p3eQQfSsznE2a+Xg/XRNsWZ4fATqTdzX9JjsomP9WPsSReSw6/WBAybtgVVF8WU0aX6yTGWnqMvsYr5C1lfS288ItxKH/88o/JmwVX+XZAlINf8TVZRd7bHbGjlqgL51iIjTdzIb2NUWpaIxgF8IXxrP0W0t9LZP2n/WS7eanzFBlAaU6UPXfmZouUB6cm6k5mfjj32myhltslZ4cC71kgikMem8ct7Ow8CF+KOOGfRZ3FovivSziscpno8PmxCZH/S3K1SLUoUkcyLl4bd5hz46kmp9CxlB9AsEaaxFnlgCIF5YgANyC9fa3TKVvCNMDgfWYeLAgM7lvl3mDPZapjodI5hJarrSdMpiyJLCh0mBWWfJUt3x4uDlIOiwAGFA9TPjYBwLVa+tfcUywwf24b4Ckd18yDDrbt/eLcS68sSl9nEkoKYUpho3C8MPHEv3auLBHSyIuVWF6ENYFFqBFE2vDwxDXJWxXLT7hdEMrfmxKGKaz29KfVJ4EEY20Rri8MOPnbToOVMNd+BAqzmvi1N1k2W5GUAMqDZ3mwnmBCzGqLiBJCGRVPu/8tEU0WucyFe29qQQnEa8PBhd/0ASuPL7QMw/QxDFiqunDD2x9PXqzBeFq7KRRW4QR6gtpX8k84f4o4CxflhKKZoKnO5NLLh7mtzC8mdi87t0uOwGXNhPEinZc0pvGORUhv51KDRv+0HRnDPYjCQsGAN0yNWzyOj+FGkbfwIgz1UU+3aFcLRROOycZCZVr9jW0yycK08wdl7WtJ4KhRLsuOPGUVJxvw+XLADt70+tkh6PVjoWfdUj/jTvHGEOvou/PQeUIdTbAsgORxglY5cS30rpWQT4bWc3hEGvHIVfXDT74qw28RCU6OMLAYU6CmtcGYIePMLV2pMp4soMj8Pj9J70ihBTeF2o4hv90g/UHeWVjge33FAGIs0w06v+g7856661N1gwOZYhFibuM3ichKix5HSNbCS1p5q4N7ZdJlLALw6yXiSfbaec1tI/ftpJH32sBvo7TX8Y1RixMLEjJoWn1gj5foL8P2d/1BeO+raXnslT8+v3AKZ+jAC7ld+m0UCrW+wz+97uYWO+jmXzwoLllBxhpP9DF+k4juxGDxggTi5VymOjyG10TAuwxTxl3Hlv+GSeU3nGiNBJQ6E6vVGqLsEObKMemy2piAbZlRsCiEJmgNopgD0cpIHJO6dGsUtxTkqIMfrZG/1aNyfz0hlDJ5/kHurT7ly6pz4zxT3HveOlKnWvnbXhFPuA5xPuy7iU8gikOZlo6gobxRYHW+LSYrecqWMll/WKPkneRNGzGU/CjtOtLZQIsbafqAwjAmPqs7ljYKOusaRe4ZyagLZcrmZfLM2mnCppAqV10IeW2nQGkL5RsuzosTUBYaLM3CLFDklaxmcupH8Mub4nGzpIIFjK+Ye4PFwmraZJwoc+HgY+B9OrVh2bEwQnhD/+JDirhBlihNeyyqtN02q7T60MJMOLKYMxnC1oKS9Yzi4eiN8mCE3xFelad0Fj8mG+U72oNnHEkxWQhHlFdpTEb4jN9+I3xP0TJOTJ7ah19NFMaiCd/xCmOG4DOm8C/MZlHs5LfoRNElgygyvS0mHQQnvMMfv1w1N3iIbMjtrjjK2bh+ZJb6Ud57JchUSpKta/Xmrz+NMfLIwo3fVkldyD4WaRZ6CxwGJ/yz1bznPT1ZBVuyjPKgvq4WfhbNZBI/8o6iZqyZd8g1/rtB+MXc7xhQLw9vkHMU5M7PlByywbyqTeKSEfhFvO3iFzzoiBh+YUCj6LG2Ko+cdvwPhp6RZwqeOcHzfiWYT2o/Q5U+0H5jrWNnJ8QcOQ946FNjYTgO1MviBc/bdfGM8L6defH1Pf7DW/qY7qOd/MTdChl75DM+s8NDL7UrROcd8teGyjCQN5RghsgUeAOMwGCVkwRglL1n58HK2+CkzLMQUJg0wAqIEk3poRQKN7CTZE1nsWCFSACwWLGospCaFJw9pXCxKMvESp7FWjmEAT+dZVLR2ZR2fr18VmwKMuu5eupkHaGjrfRMSJRkDOPohJWuMtTBIsOkKj9tUw/W3V7eBxJgp0AaFnr1obTDgmXLVp+OtsBgRRdfWJI1+MEZlvJ2HEN7Kf8WBywGmFLc97S2FN+5LM+USDsKLHxwgR3/WYjCRUGlTMDFwoniCQdWn+ckExODwZ/buXX6EI9aMOl3fakvLLYo1lbXFogw1g92Vij38IcfhdPWmwVdb6T2y4PCYKGGj2EMKxMCpdMuiT6j6FvY4g8KF75VB4qXNAY3nup5EyQWUCZbWHf//XTFr5Rz/GPrEe4WRfjbZA8/vMY6pH8svPCifhQX75lw9hMm47aYfEyaY//xM1llsrCDt5v8Qs4bH+P6jJ+NCe+gsHzief1nN1Ffeweg+/EfEllFvo3zm/ZMtrL+k/lkIuyMu3mXT9PasxF/Fkm0XhqKirnZ8TXz1nrxtzN8Vn4xHzvXbV43j+IJizOLfO9oTOMXcsQxx1kVMDpE5xdpyWBzHPk7C5bbic085WXcrNV+OphFs6N15jH92o+0zYr9TrWXvqUfZ9F18ROLvXmc7MRndFiGXPMMfYAM4j8mxlTz+SztsGige8HKKRRGRYZRusOm8ZqlgbNUbhjHao3FmoJpNS2M8gRQqw8CFmkIhRDYhDgLsomahZNi5HjHLOAYgPJTjs6QlwkFUZBZ9IR1ohSrS88beJ4JMnn1eBiU1QAjU9Ap0CwD4rIoOMIhPia3OLBFrB7qboWqXfKWn86jCFMGYS4PSiM/aZynts2pzuLLl4WXoic+a6x4wpB7YfLzLD6MWb/Ep4jyR6xiVqHKVB5LtLOG2qddFgHizULKNRGLq67wfV4e+CODWT06tgmaS6eulEfHqWBr4UhBpBzawoenPrS1aqK7XlphsoOZ9jkfZ8x65QkAABAASURBVBdKPglachYC+NtOCmWK8k3AmXQo8MpA8MLjlC38RVGlbPQwSo6dKX0kY/1JgaH4SIfH+e83MkbIDJhrL9wp97Y4yRFyheCDFYXPpGuRa+EEewtiR9H6mNtv+GgPS6Dx18c9vzEZexQc4xpPb4pfxpnO+Nzrt150fU1+WrhRtvS1yUxfmzztQvEbk6NIjvitl38PNz69ZGZs2TXzJRM7mWRtj7Nfr4wUQ2PDpHYaK3ZWKSvGFrwmxdspP/xiTlqLn5WNX4x3/WZHGV84w8445j2aafxCBjPErZe/MhDdge7S+cUc7RQBeX8QdnNgMIns5pgvJ4XxM4cxVMEN2f2in3jXyfwlzl4RgzCDxqxyUFzGNrKJXuc4NDmKL5yqwHuTyOJl1jLwM2MgnYKRwQkLhhr8Rn5vCqvdAlrlCQrnsilDSKVZSDRK5Q04R10oz8D0gosXAYVthgxMDMVCPkxvYFLMO/DKFY9FlALe47ICyIMyjJkpGs5f86fEOiMlLcXPuVSWW+1CFPy/TkbCclnhehovZcpHfKQzDQSRYeBcJIGsfKs+WzzCkH5TV8LYs/TaYLUHazsH/JG8WBa0WdkUfUeAxLGt49y9flCOcGmQPJH7SaQ/YUiQiof0qR0AC6NJaebFTztNIo4t6INeL/3W2wVH7UPwoWTaMWH9lcb5TflIa1FK6DsuxV8aCwXHQuw+UazEQ/I1yeoX5fEbEiuUOrBu8He1c8RicBCOk8AHfsjYtXti0QkTeFD0beFahMGV8KUUUPLICzuC4u1HMjEZZ/i2j33tJTssGPGjbW/8woLJ4rObOKgfuUS2DOuHh/XhuC7DvrYrSbE3fuSj/yeRNo7zmfXZmKd4wIusmjXdIsZzvAmO5jvzhTboG4YoSrBw/pQWmLNGirObpH7kIENF5xcGKXMdfhn39ZBfWDHxOeOcfCbxCr9xHhtpH16Rt/qYP+3Idr6BHXlDJtMPNpLvosWlx9AvLPqG7Te3ab85a9gmehMDjL5ksBqG7fY9HlB3i1b8r3x95yg2XUg9+Q0Jz0iHyC5GXPyonfwmEd4c5rGRe2NRPeDV67iR9EtxNWrpZof/GRQsZ1Y2lGHFUTAdg1F5wtWxBBORSZvVhhUUQBjIKtw2h3SzkkneVoijMhQw6QxGAsBWiTrxw6iOORAojszwE58VyFabDlcnK3xWVxZVeQNfXAo0HCl7JlrMy4LgBcguoMTrpDy7BRQVxN9WJ6UYDvKSHh2XQF9jIXDh0PMjADuWyqOcU2hgzILBcokJk7zJhzBioYK9+huQFgoUIEJKPJjLn0WYkumohwWOsElkpe5Ykm1Iyqw4BCxriPw9zyvpT213bApW6smaDhuWX7sr/JAdDRYGGNp6M7D1/VBRshDCE8I6n1Ky8Bo+wzfykR/eorRY6eNvx0UopcL0pTqYHPAdP0qOlwfVV7357ReCC2tEx2zYLgq7I2Z4TJ8Igx1Lia9MUEhga6FFblBwjUUKm7j7hchFx+KMSQq78U1WaLM2WtyYrIx9z8avF/Qd+zMp8dstUj9yRJ3JNPJE/UyCxsg9U5FJMoXy710bCqWPDWy23sabHTWTIrzwVi/PPENWkdEMMSbkVGdfOXOQ3UBjwnxgp5Q86RiYC8g8Vnj9QUaxPjJUkTm7DYbxyqDE0mm+Mm/gF7KU4cS8Z+dNe4Z1syBh7BPHS6mb5Rd42BGSP35hNKMHKAu/kDXyJn8YD4xDcglfU2S9t8ZquxfYqeNOkjmHURUediXsbA3bTx8xj9kthgnlGC70F3Kd/uP4E0V1J+u5Xt7mCEZSskG91JGeQi80j5hTnQLx1SJhw/zMx3bqYeCI62ZlBkOvD7HABF8Zc/BTHrzobzA0Li2EhnWY+V5GM0feQkQKLOBYFw0K4DpHTGmi0GgAAezcqzAvV7IssdpTwL1t3ZWhWauhk5RhwMtLvr5Q49NK6qFceRmsJkKdxVounqMQBqhzuuoungkAY6gLxbgrwVamLLL8LRIwMKE6bTtcuSZa28mO0ijPViGBAgdXE5JjSCZugsQk5ys8BI66iEcZ1z67AraOtY2fYx2UQ9s38vbCoPrBEt4EkEWOurIm2+LRVmUZsLaL9BFlgdVDeZOIxcLRKIJXm5XlmRIK00lptu63sRwMIn3v5WELNS+ZEj6EEkydw8Rr6k4ow9KLTwSZ83H8TRaexXVciQCz+NO/vTYUSIonnpN/TwdvL7k49uAIGX91kQ8+pISxPHf8lE/QHErGfXeD0KEM4eN5wTXVm9nhMRjiQYLMGPM5UJgSsD4Xh19laPKAEfIivcW0ozOwNtnDDE/a0jWOHMuAi/yk9eWsPl7ltyhkzDuipd0UCuPZGMSLJhNH48g/414bLTw7n1nUkwMWN9pL0TcmGQw87yaZuPUz5Vz9yBlfNlNn/YevLbrUyUcJtBcZa45ROS7FSCB8Epn8upFFnhRzV3MLCzTlzNEscwk+YPQg05RB3lFs+6JhUv6L4GcOsGtLVsDTws38wdBAKfYxht5+Yw2u5jMYeAcLXuYv44fhRX7GE97a7fabT41pbSAj9JH5CQ8xlpC15kLjg8KFn7TD3GnhqC8pmmvV27ix4w8v8xMDGrzMvXip549fLECNO2WoC6XL/GiBiseE+aCBcHirJz4n99eqw7yGWTwx2sHeOyvarz8cN+VvwUSRpcTCzDzl2tsvLhlNj5Sevz5ihMR78MJne9l+5asTvYaOpI7egaMDaicDqgUwRV876AnmHvHEwQOODeGBteZfcs3i2XuhjHp4Dq6MdWSTD48wtPQ86JbKUDd6iXnOOIX1pvBS+U0lXCMRJVdDfAqKwtejGnQmHSsgyg0riQGj8qwElByDy0ucFADAS29iMDGZoHpe/eqHM0x8lB1+lCNWIZ3kmUAwGCkNygSyiZ8QEd7JM39KuHistd7I7gqVeBQKE6eOGVqPCAGdIky9la/ze30dqfDSlc4TV169vF4vA0f74WAyg40BYXKkaMOTMNM+6QkPllplEn4sCN3Si+nsZDhbqC2YEcPIS1187UY9kTDKEIZXNqwcJaIQaANhavAqk9BiEaFMeUbwNeB7O1g5en7C95oIfOfPTfKsUBRIE7oJHpYEND844Q0vXFK0Le4oG/zhyzrEz8raAsFCC2a9fQaosvRD5yFlOlbG6sVCiKfkB3cKvknWBGog9zTKwiv6UB/L3yJBnS2SPC8aORdIaYAvZd4xLDsdFlPkgcm18xTlFUYIJiZMuyDabMFkJ884wsv84IdnWfDwoEUy/0Uj45K80W6LO8o6frFAoWzgRQt17SILyQdjU3wyAI+Ro8LJDco/y6zn3Sb96h2TLn+MP0fOKGAsXcaOOnlWf6Qtxp7FmbBpZJyZYC0QTL6UeVcTJmMLQ4b5xftLZC0F42LJTBnGlvlFXfBNvBfSmV8p5NrCOkyu4X9GG8q9ccbarXFkGRnE8gcDY4ry1cePedK40Wfi7zbpTz+aQ27id3M/3iVr8TMFR9tY8M1D5ivtIFvJRTJRHmvVm5ynWMKL9djCQHq4kL3u5Y9f8A88lIFf8Jl5Fb+Yh+2SO1qjnuKpk/5Yq/x5DoMxXYZ8JpctfvGPedx4tOOu/TDWfgYtxlXtx1PmT/h6d4nfkCzQO5/tNQb0LXOJozbqqM8dg6bTkRtklXB4MHrSn/CAuZqstTuMP9ZqB9mFd+UFN4sCepTFH8Mqmc6gZ163sKS3qksneJnj1ipjzbCdUOYVqPOR+yHxowR1WitMXFsPBjnhRbEfxncvjrzcd+KHhs/idOr+k649juswjx6X37Qw/p3E62lcPSP3Q+rxXYfh7lGP6x71536VDo3DPPPv1OO7zhomXqdhOvdDEqeX4zoMm4d7dRqTOve6DcO6v+vYn+Jg4UJpdwSspx9eJ6UTPs1/vbAeLr37RSR1H2LZ77Wlh7lH/XkYh38n/uL0Z1fP/JHnRaVhO7QF8es0bBc/4cj9OGzsNwzfjXvlqxtyr0xXz+5Rf+aHPPNfj8QTf0zS9TD3qD/3uJ75LzppR2/T8Nr9h+3rfj3epLCh317cD+vovtfBvXp77veekWf+s5C40oyp+/c8+nOP57mHuXruYa78Fp3GbdIu1P2H7et+wtEwzPOQhmHzcj+sn7b0evEfPnvuNPTv8adde5rhVXrEz7Wn9Tyk7r/p604p85uu0CihLUCKfN9CHgUfyEeLGkdHWFOGzHEgwdjFRrMqe2/CCp41YheLrqIKgUKgECgECoFCoBCYjMC8K/M+/+cckq2JyS04eL6UeVtjpczvbt/D3TlLx0a2p+TKpRAoBAqBQqAQKAQKgS0iMO/K/BabV8kLgUJg2xA4rn2rHW4nTCBnW7etmIXL6HC7ZzvUjp+AywntuFYyth3gv+PaFcIXPwqtHjfHNUf3NgRORT7ACDygnSF89P3Qal461Lw/0erv4CJQE83B7ftqeSGwMQQOt1M3B7uOtGNy/TG19vZ2bPM9/Y3ltZ9iw+OYASaej7T3thPaSdvh/N9Pba22bAyBH/PCj8dKv2/tExk/Fwhv1I5zq78NIrCSl460L0fCXLcdar5G1+rv4CIwRZk/uIBUywuBQmBGBI5p989E8sRmepkxyQGJ9vooa9doh1spawekwzfQzI+GN27aDjVfJWr1VwhsAYHvRP7erh1qjiIfafV3oBEoZf5Ad381vhDYAgJH2gOisD5xKYf61xF4b5S1mwUXXz3qfnUtBCDwg/y7djvUfMqv1V8hsCUEfqpdKXLmWa2MKVuCcb8kLmV+v/RktWMvEPDtYt/47r+wuBd12IsyH9IOZQo51Bb5G8ttR/6OtN9oh1sp8q3+ViFwpJ2qHWp+h6PVX2uFwRYQOL5dqB3bXtdKkd8CiPsr6XYp88cEFj8o5Ac8TpL77k6aGz9G8PO57pRTtvz98MilUwi6QK4nC5UrBPDHGQPDb4dcc1nhhuF+6GEY6Bfy/EiIH9LCy8MwL6/5IS9Wtv7DRsLH+Z0unsrGl0PyAybG36kTbtz0sLPleegsFHqYfE45DNz1+yPtse1Q8wNHbca/0ySeHyLpbRi3L8ErnB+J63GH7fVLfX6QA8kDdhLC++dy48e83Od2l90x7ZOxxr8udJK2tTPy+M2PsuDDoRwdNwgv4p+Ok3s/+CKeH8WBWw/zq478d5P0jR9Y8xsh+m1S2eKod6+nH+GZRWZrT+cn+Z91UuYDP7+G2vEQf1p9Bkm28fbE7Svhi9clx/OHN7bz2FXHD7+cIvlPc+SUX57UdliTNR0DPAN3/ghW0/LZTn919+No5uxel0n543PtUzdEl+jjwrXzgTByclIeQ79xfuqwlsyA6zR8NlP+sC4bv/96+1F46fXthHbtdt+2nYtC/XHe1ppxMq0/zGOdh+CN9A0cknTJieMHmYQhvx67FDAn/8gXPypnPJC1k6qFH86SALypDa7awT/e6zry1w9q+ZGHjAhiAAAQAElEQVSotdLAylzWy/iZdXNeJ4JOXCfKTMEqbWA9L7E1JJcl5/7JufOrqbnsiPMLWscmZ7+iCpjL556ycatcT95a/pc7yAjgy8cEgP6ra7ld4U6Vp9uEnh26Z6g7g/HeefBN//vlevrQ0Fm8Egx+1e2HgwD5+TXG58RPfgYtIYk3EX7163rCCMIbJZ5fnBN289yrq1+qy21T9wfnxi8kCvfVmNvmeZrATdAOu8MNVhspRPv8oqD6a9/fJbHFUS6rnPZqY2+vtsOSknHTxL5l6Oqh24co8Lk0wvN2uZE/OZTbXXbHtae3Q+332uFMtm3Tf5QRv7CI3/AdvpmUmb7/kwT4BUttRhfIs4kKJl5Gvn6e+fuRM7JwyxNF8pvVWWzqP798+KokmtbXFAP9qZ5XSLy/Dd0xJH0uE90x8b1xyCJaOumlmza/GMPw8CuO4ru/c9Ljp1x2wR3b3hG+uEzb3jPy+hPPP7+19rgQ3slllfup+Bgvd8r1iiEYUIjxEAzIoC57yJWHJ860vBK0LY58vF5y8uuhZKeFq36N1yp3rfiQH+r9B7l/aui6Ie3X9zAQhh/UfT3lHF/2cYOP5EdZn1S+Mu6Rsow1ZcDnIXmGD/zoF/yEzVp+km/BPbh9vR1ql2v32dYz8oxJN2it/VPoRSFjaRIeZIw5retZ2j1U5i3M/Sqv/hGGzpz8JuUV7113DED3T6na+Fe5TpMzFHn9SSb5lVbzzwMT33yfy5oOBuQRvr5aYhp/uaxyDE/3je9w7HkmrzaN17TCUs6G3AmJ/crQ+0N/GcIgyKTr57PfHL+dcGdPpibAd+Z6r9ChEMWeQoTpKE7xKndAEThn2k0R/2iu0361lfBiRcSn+DhRG0XKxE85MmG20R9rl8H6xfiPLSR+tdhg7fkp1ySANxHe/FLSvSJkEfCaXClvwkxOrEdXjZ/J1gD3k9MUMuEmZROhxUGiLIR7dWo5bB9r4B/GTztzWXYmSJPBV+Jzl5D2Ury095p5vmyIUPUz3PLowtVRp5MkjBLc+y+PW3C7n9SChNxyffE6xZskKTaPTzwYIYrz1/NMUaGE8EOUjUvE/zKhaZaoBG2r008mdBPakTVyNib1t3riD20wcZ5pjTSCLMrFl878gm9MvHhA+JDkZyyLi0ziLIcWEts19w3L2417SsgtUhDFgTK6FsZkEaXzpYl/XAgGj871U6HrhFgd+SFYkoUWgpOwTPQtO5jjXQuMf0tu641XvzNDAVM/87u+v1bSXSl0lRCjiPmfvKAE3SF+ZEMuE5385CM/vPDVxKLIssDndoXDwxR9+ff48ORvPI3L1zZ5WlSvyGiOH8gE7bhy6viC0Hr9QTb7EU94IDLIUcufTVo4fTvXPjaFvz3Pa/FngnfFqR/DEN54bUpcq51fS/gzQnhLGywSzTUWnfo4QROdOA9LyBdCHwxNazf+MMYsPM1vyqBrGM8WEWuVkWynu00nnJCljn5o/E02lA2CwrdPgfH9+HOUa0CiN8SDwpLLkgP0s3InzMTEEofZ4jXVUX4oRKyqmErE4/MPE7EKEVAmR6ulPmBZBjCkuiqzPysX6fRksewoVCYaKzrbpFbqOs7Wqfg6n+WxJ2BZJDytSvlRzChutrE8m7QJ1iflQd0d0bCbkMclR0n8Zu7kjeCZxyVngWRhxP9z8TlfiDOBUh4xnGcC/wm5Ibhyafrh5a01ipF+8kummMkkKC+EyU2MibZvHIUBzz02LaIU57LKmQAo5B8ZhOhTipCJcOjfo1C69AuegGf3dyXQe37/n707gbfvG+sHvn9JSpJoRAgJmZWQUJRoMFUSCiEqFZIh/H4/YyX1TwORBomkDBkimTOVKUNmKkNJ5iEUv//nffs91/7ue8793nPHc8597ms9d++95vVZz3rWs5619tmzBjTc8f0rEhnub86VAMhlkBd//UepMbm+OAGEZC7D6/PvAyGLDwuK3C690z6LHhXVPhOq9pl8+RURuCbLl8bDB7pyGV6XfyZcOBCCxoXxjbT/8gmnwD4qVwukXFbSweV2qbldDzyb27nO1uw/JtRH43LZdHiKokGJLizemlC8SCmBeR4P3BkTLKAUr+0K+7cEUipzGfQnHiHvt1MkjSf8ZAxIp514RNum/AQP9SD3Kv5bkkh8O8bS5HHlnHnOotacQx7AZF4jLJr/PYHmQnNNbjccOU+p9vHB92z4DMO7cn1SyEIHdrndd0fe2b03D6nTdnVXuP7Sx+7V31xpvjYGGPDIZnngHcqo+YzlXPxZhHeqvXQMc7j88N04PnxgJ8/3nhmAXxkMzNUU4FfF31gdly+MZTdBK+GMu8elpnauzP/akseFHau9o86/lZTz5tkEHZnDH3iOMexfT1IL9X9n4uA3eJhzPpXn7eRSggf56v/fzEPJm9xuceSO+ds8SO6LQA7idQo9nZTfwrSfyrzCDVCrGoIGGQys9QQthdMWu60Z1hKNsfoBEiudLT/AqZMzTdIYaPKdRUBhATWgCbhxHB2hAynUz0gARdoWRm4HlitgUooxM4XfOUznqVlyLUQwt3qIr36sf37+CdAEICXZIsEzZZ21wPalOj8siTABa6LznLaOLQbUM0GDNlESYSU965HtPGezrcyscCmKyne+0cKDgJXOYsdCQZjFkq1Tee6EKIcwpthLa1dDXSlEjpC8IZmwgmhvbtfewdDCCe/ZYrRQ20mj9TF+gpOt4kojPxYnSiYBOSs/kwahgvcpWpW2rhZrBCMFlgD5eALwMEU2t4OykR0D5fBbJdI+R4i0zxgZ1/0zeaj26pM8bjjthTUBeYv4GAvGLX9KjWMGLCEJWnsHP/xBKaKQ2gY2lsk245tso5SNgaDMkW3FQ+Owo7w3Xkxe2qBfLcoYZ2aNi3n19D6GsWjxPeUneFBKTZSVXhwLZ2FjHqvwJbjuWxXMj+Zc2JDxcDavmOMYI2BQc1IV6tmiGp+V31Fe9ZGjjOrOuMKiaWfT2KeU68+qH2VKu/S58PKfd4WPXStyhTwZxzMfGjNeZB+X4Zkhj36Cr8Zhyle2Ouyk/HF5q3LPIDqWO/jEPGQck+l0CvJZf9HzhK1K26qe+s6CzIKRfsXYxwBgsUPuVrzdXvEafdX4o9NVPgzeyoVx+S10JVAXSrCDyCzOOpUi614SlaY4saBbUVv9UI4JF8oKAA1c6Si1BK6z9uJJP4vEB4jBSHmfFYcfpZ1AY/VTjrNTVkQsoAasLSYLEBYAKzLWCfVSZ+l1IKs35ZuCxkpo0FLmKSA+1mAgY17KGiFD6XbMx/EKiwoLAJ0oP1eWeosM9/UCpUHgHCAFkbInrjrawWAlMHAo/8q3iDHpOXIg3k5IXcVnYZCX+tmmVX9WiickE8xLMcjt2jsWHCt1fKaPdtpgiiUeNfGxFFU6A9HCDabz8qN4mJwcPTGgK60rwWf73MKSdVM/2eXRT5RW23EWfnhP/FUj7cPfeA/v48dxGyidjl1M20tBNVHYSRPfZGrssY4RsI4xwUZfwk6cdSUyj6JBBlDiTTjO/trps0jSfjJuFdpPVlqYaIf2UJTIZjtpjA76dEra+c1nNs44vEPu5WMXYDoHMBixsCbKsXTwwSvmVBjjFYYn48hRI2HLDow2kLXqT0+gVFmMkN3kybT+xof3cqZ8U88UUeMDz9jFIo8ZXmonsPIz9+Ofeh5flQE7eYz91/2ejuNniOGPlxg0nVqg55Hp5DS+EsZCTde4WUCBVy4r4/AH/mLUtaNJrli0WbA4zlW8NL3aFdqJPs1gRQ9mUHYKhPHW3GXHXtmLA3Vmip0UfmbUHV8IZdt/Bp57CVmFrPid07O1hRx9wQBWyCZ2Z/ko1AYX67NtwO3qJ42jJvKfR5Qt22QULxZpjEU42G6zYDAoCTsWaXVChIHVUQkLHWnBoBOUQ5mikFECxXf2j+VeO3QGhd/WrrZQjrVrvCixOKDssbzKT3ykHraqYMe/iNURduKwXIljcYBMfhXvZFcrPwNSPP1hIWMHQhuQwUeAaYc460wWRXZHLJYoAou0lTWQQiGtPpFWfhRVfvPyw3v6Dx9ZHOIDaYvs7jhmgRfxq7wtMiks+toCwLiwiLMYtRCstKtwNfa1z8LE9vS0ztprB8uCZdxe24/aa1x4/8GxPcKWkCUU5QkvfqwoxuA073V51ud2L71nAUcTgXOa2u6IHTlDXq1Ce/Wf/rY76+ihXUJj0kvQ5BF+n0Xktvax0lr8ar+FL78xMeAwUoz9jtM9XmEwYDyDEV6BsyN7DEc1/ywzJurqXDYecRabwclLgxRK7ZvWnR8ZzPA2i3fsWhkfzrzbCaKQOa7Gb5yXcvHP2K/u6R3kkbLK7zhc6Q7kLz5CFFs6GiyNZePSrkn1FYOU+c4u8irhY1521LPkK4MaXcmxb4bhWXzFzxw05aNZ7Za/Y86OVZrf8Sp9ER/SZ/HXrHQn9dtOWT5p4jkRMDmFxaSj4uNoViIECWLJZll3DAcIBDLlkrWGtdr2OWvTOP34nqBiSbfaZpEah1FIKe+sfZRq59so7pRVW0A6i3IrDUXdOXh1Qiz4jruwBgqfRc7kU77EtxolXCjDmFp8EytLgo5x3IjyzL9oqnCIZzDAjrJe8VzrGZawMniQsjARRV+83ZCVtTYgixxM+8bdZLRiaWBq94WwMakhL6GwJFCW9d+8JulXOBl8+kQ8uxnT/PySiF9iqPxY7r245Xy3xZx0RY5omawct2K1xgfCXE3GxgPCI1bwdn/0vziHRXspx3Ex7fPCjwWJds3Kj/+4vXCypW1BTtmXxri2m+ZolHHPquYsKyOAI0wW2+KtI8EHDiyWJUMoHmQZPzzBUlZhMMCb+EYcz8tI2mWH0ITomIJ3AvD7lOxS4gkyl2Lqxxb88AJMpu2CBX/jrvBwNXYZecjcaZp1eoapPh/PPZ4t+BgWhBtb4zazFsLX/D32X4Z7/UmZ0gY70+Zc/Vl1s2OHzylHU76pZ3JTG8lZC0m/ziLfyqOu+Ia/uOMylIl36AbKG4d5pktQ9Okzlde6Xs1rdkUZIbWX/Ck88BY+oofhtVXFQLvokAzT5AiDUvHS9MpwLf5O2kpvYFAmz+QDS7quBRO9did5bIlzEMr8lkLiQTiwsNkuo1THa7A1owG2q1g2KSmuBquz9pQlVlCTEUu4rS/pxmRAUmadDSyhxaJuq9aA9zIC4CjBdgFszYunc+RjcOssyhR/flaS0wmRfxEGxrjqCz/1N5BLibBAsYpjXXRu3lYNZVlceYhvwWAQYH7KIUwIKhY321SwEVeYxY1OxyjupSc0vOBKkRGXssMPFspRN+RePlOq/rAosMARDuvK3/M6k0Wg85KwRPjOStxK2QSHX+a1Hy/C2uKz4hjI0/ys6B2Zkp+B61cTKF4Gb6VzhTkLkYnFES9+s0jfWnAY+BSYWXGW0Y/yrX2wNa7HdWRRthgn9Mf+7rXXpGtnyrjgh9ctpIUEsAAAEABJREFUuCjyFp0UMuMaDyMyBm+Luy5kHNsJInO0jZwgP2ChjXbnLGpYsx0/stApWSSthSn5setJQiH7QJRohhR1NebIfn0na3JKPSlPJkz9yn8W1cKQxdauKLlY8chtshw/GZ8WjhbQhYdjFY70sIwdNR5V5/28mofIJ+03NzjKigdgrxxjijzyoTu84gVhSoow2JkfHQEl3/jtkRZOrv6MfHbG8bu+rqNSeEbbtEvfi6ct5lDtwveswazv8wo2nzrKZ+FId6AbVFzzvrlXeRYFcDB/SyOOurFEm9cZD8zr+FX58FU+TLcrXz6rQvCgr8HD+DRuahx5Nn7FgaU5zbgmp+BBV7PgJo8ZU5e5zcYKQ6Z+VndtojvSI9Ubb2mXeYj85bcoMVDAo/Abp4cVI5RFj91JC6Fx+I7vdcqOI+8hIgXd4LHa9cazbRqWSwqQOmiIoyr8bdPYLmehI9gJY1vrlORpFVjcbf2wklOepGdtdj7f+S6/5CANpR1TseQ44uCevxW2LUhKbaW31WuC1LHiTIkyRWjY4lWWc5x2FHSUNKyxOo9ixoJva1CehKW8TD4YxPEJbaWgGQysUX51BRbqpC2wggMhQcDZMVAmchzItpYXcazoTPKUH+nURzljYaXsIpboep9BGdL4+UNb3Pqj4q36Fc/A5E5pCMXRUQ/ncSmQ27XTAKM0wgX/EWS2FfWjhaPF4CJb+Mq2oKPQUjJSnQ2nr/EkYYEnWK+VaQvY7oHJ1TOy82PBiWeKfzcyWeJ/1T7Kp75gTdUWR2kITZOl42omSs0wboUj7SVQHTvSXvxPZpjMbUsSerBEeNcxJ8oL3pbXKhHF3NjWbmcvTZTaxCjgPKXzqRYr2kSBZeAgA8R3zIhyQUGzIIWZd3Xwiav4FBN4SX/Q5GVL9SWfjDFX489LruqB19XRudqHpjLqqS3SMFBY8JFdCdriLLrtpplsjQ+LRBiQpRYGJkU7usabOcdOML5xVQ5eIrvtaM6TjVsKXTIPMsA7VDXvUELIEPyPhygE/FTbYsbY0W7tN6+YZ/ALrBkh+Akz/1nk1Dwt/X6T+dFiS187LkM+mEf1qf5k8HAsVf0p8+ZSc7/64REvwepfdfUrX2SEMAq6BYh+njf+5accCrvx5ocv8I73nCwKGADxBlnFMm8HlWzxjoEylFn4iGd3n7FQHvCF83bl7zeW+5Gf8Wku1B9OJ1BsHf+As/FKhzH3iQcfR6NhoS/Mo3iIbkJP8xPOdDHheMq4g8si8+R+tGlWHhYkxof51QLFIlH9yQsLMnLI3GPBaPdFWLVF/zLC4cvtZKj5m46Anyygzd1wtWOvPL/i5ApLMpLeJ28ymx6sPDuT82TfrHad4CfjEzz24cFgAo5friFQK0sV1QBKtq0wjOJlQQq+rT9WTIKc1RGTGCjOrVn1WuHZtqm8xtc/zwMlQX7ydUzB4AZeWXh0BqWV0KcAG6xJtuFMMARjpbddb9CWsFcX+Tk2JIH2EXgGLqUCUdIo+TqCADUBs+BrG2Gkowgb6eVL8abEOF+tXiwN8vfiq7Qsj9pCWCmbpcAOgkHip+ekUz4slcHKpF0Gkvqos+M98FUm7CmIFgaeEUwxH6GlLO0XX37C14GspL0kiRco5/jSM+uJvqo24geY6Sd++MZCEC/Cn4DDm/rQQNV/0og7i4TpU8JMuHQUUROR5yLCwTjxEqNFn35AFDP8wBrgGVno6S8LiUq/7FftgzklQx9oB6r2Ub5NGhaj2sLaLhxRSrTXRCEMX7KKmVBgw0//wtjZeYqrF8/5rxrhN4YJ7TaGS0HnR34Q+mShdvEjR7VZfOF416RJBjnK9MeJiHfJCDxXeMX7wJ1dQjspZAlLvLpQvPSdZ/1pXiC79LF6klkUBH1orMyrpHGlvRRB8kr7EQMNGU92WzwY3/KwIwYPdVEOPJSLb4SvIsFAuyxIyA7vDtjVYzh6dBpEVjHw5Hbj5yYpMHhA+80RMGDcgpFFll9LEyYv8s8xEWkPitQNf5j/LFz1DXmKR+kADCbqZ04zFrRJ/cx75kZzrbnVuKcImb/xmDFijpxXb7JIWgadyhPvmOvxnDmV5d2urLmBIs+oSIlTPpzMBfChi8BK+cJ2Uv68eh2lv3biA/3BuKf9sNEfZDOFlEzGc3Qec5r2Gq90Jnyln+hv5Dy5pD+MQ7IbTyrjKNuobPJGXdRbHfERPdHpD7v0jEvkEx6x2KV7CtdWuOAtY267tpA/jLLyIZ+MM/wlf2X7pTtyiv5HRtpJFW7s0l/xnzD13RUdhDKvQl5ws+p3P66YCUmDEcWVYlzhBgkmEqbRnlnzrJgMJIO94o6vOkB50iFbyp7HZesEg9PA9ZLBND1lV1qk08ZpCQ5+GLrSYY7aXjJREVDKEE4YjOMTFCbgcf0pJgaJumorRpAWEUjqgeBhsPBH4zD4qQd/BC910Ubtx0QGqjCTl/rC33ORnQnlIPlRKipsHa5whaH2FcHIZFH9pZ3uq5896x8/1al/Kp0rqzwLDCVbvHk0zQ/+XswyCYzT4F0LLHmPSVxpKGflr96E5jj9st/Pax9e0zf6QVuLxy0wq736bTxmjD9xLWzH7Tb2pLFAGI+HcZzp/bI9G3cWadoxJpMNWYLf8KR6w5RsNc7FhWXhJ9yY549YD+1k8D8scqYYryq/yGRGJhlPxcOunisOGalt29UTD8waL9JqJ16o+8qH3K8y8Ih4FbaKVxiZr8bYaR9cyDDXcRvNGdUfeAbu1W6yrPIx3sicCjuIK7k4ro96IwqUsvEuI0rVf1w/8chk7Vc37ai6a99UtoozJnO68VRp5IfMv+ZOcgUGY5kjz4ovTB0rT4vnCttJ+ZVuma76gwxWf1gUkbNkDPlReIzbKx4+Mx6rPWSQ8SUMUVgr7Kiv5gX1Va8x0cG0j26kvvAgixkcKp424QNh27Vj2n7pjTeGKvwlH1d5kJH4qeKQUfhT2K7pIJT5XVdmRkJn5Kx0gD4jeCW9TGqUtBJKK9mIY1hp7xTYhmMRNZEcQwi6yY1AI9AIHEcEus2NwHIjsOzKvPOetrLKKrXcaO6sdrYXHZmwAtxZio61DAhYwTvfaUt1GerTdWgEGoFGoBFoBBqBRmBYdmX+2HVRN7gRaAQagUagEWgEGoFGoBHYKQKtzO8UqY7XCDQCjcDyIdA1agQagUagETjmCLQyf8wZoJvfCDQCjUAj0Ag0AscFgW7nOiLQyvw69mq3qRFoBBqBRqARaAQagUbgWCDQyvyx6OajaWSX2gg0Ao1AI9AINAKNQCNwsAi0Mn+w+HbujUAj0Ag0AjtDoGM1Ao1AI9AI7AKBVuZ3AVonaQQagUagEWgEGoFGoBE4SgS67EKglflCoq+NQCPQCDQCjUAj0Ag0Ao3AiiHQyvyKdVhX92gQ6FIbgUagEWgEGoFGoBFYRgRamV/GXuk6NQKNQCPQCKwyAl33RqARaAQODYFW5g8N6i6oEWgEGoFGoBFoBBqBRqARmCKwt+dW5veGX6duBBqBRqARaAQagUagEWgEjgyBVuaPDPouuBE4GgS61EagEWgEGoFGoBFYHwRamV+fvuyWNAKNQCPQCDQC+41A59cINAJLjkAr80veQV29RqARaAQagUagEWgEGoFGYB4Cy6XMz6tl+zcCjUAj0Ag0Ao1AI9AINAKNwBYEWpnfAkl7NAKNwKog0PVsBBqBRqARaASOOwKtzB93Duj2NwKNQCPQCDQCxwOBbmUjsJYItDK/lt3ajWoEGoFGoBFoBBqBRqAROA4IUOYflIY2DcP+YtD5NZ7NA80DzQPNA80DzQPNA80DB8sDX0WZf0qU+aZhaAwag+aB5oEj44GWwy2DmweaB5oHmgd2wQMfp8y/LAmbhqExaAyaB5oHmgeaB5oHmgdWgQe6js2nxQP/TZmPLt+uEWgEGoFGoBFoBBqBRqARaARWDYFW5letx46ivl1mI9AINAKNQCPQCDQCjcBSItDK/FJ2S1eqEWgEGoHVRaBr3gg0Ao1AI3B4CLQyf3hYd0mNQCPQCDQCjUAj0Ag0Aici0E97RKCV+T0C2MkbgUagEWgEGoFGoBFoBBqBo0KglfmjQr7LPRoEutRGoBFoBBqBRqARaATWCIFW5teoM7spjUAj0Ag0AvuLQOfWCDQCjcCyI9DK/LL3UNevEWgEGoFGoBFoBBqBRmAVEDiSOrYyfySwd6GNQCPQCDQCjUAj0Ag0Ao3A3hFoZX7vGHYOjcDRINClNgKNQCPQCDQCjcCxR6CV+WPPAg1AI9AINAKNwHFAoNvYCDQC64lAK/Pr2a/dqkagEWgEGoFGoBFoBBqBY4DAASnzxwC5bmIj0Ag0Ao1AI9AINAKNQCNwxAi0Mn/EHdDFNwKNwDAMDUIj0Ag0Ao1AI9AI7AqBVuZ3BVsnagQagUagEWgEGoGjQqDLbQQagc8j0Mr857Hou0agEWgEGoFGoBFoBBqBRmClEGhl/qTd1REagUagEWgEGoFGoBFoBBqB5USglfnl7JeuVSPQCKwqAl3vRqARaAQagUbgEBFoZf4Qwe6iGoFGoBFoBBqBRqARGCPQ943AXhFoZX6vCHb6RqARaAQagUagEWgEGoFG4IgQaGX+iIA/mmK71EagEWgEGoFGoBFoBBqBdUKglfl16s1uSyPQCDQC+4lA59UINAKNQCOw9Ai0Mr/0XdQVbAQagUagEWgEGoFGYPkR6BoeDQJjZf6UVOHsoS+bQeeI31lD89ylEvCM0OVCU6eM68fz70LfEFrUSf+lSVT1Olvuy90uNy8IfXnoZK7ycR3H/cI8fElI+7WxyqnrWRK2F/dNSazt35urMnLZ4i4bn2eFvjm0U6cdY1y+OAnn5Z+gtXb67f5pIZzxcG6PxOmPZ6fknwvhq1y2uK+Jz5+Gfji0rv31rWnbc0MXCu23u2IyhPF35Loq7otS0YeEjpo/U4Ut7uvj87jQ9UIH4a6aTPXXt+W6nbtJAt8c+srQXpy54KHJ4EOhV4XOE9qJMwf8bSL+esgcM32Od7sFEfiqxDev3SJX8+j0Od67djdLyteE9sovyaJdI7D6CFAIqxWUoFPz8JjQX4XeEXphyPMf5HqN0Dh+Hg/FUYL/PCWpB8FAEbpAnhd1FGaD/+KThPKX53njf+vQu0Par7y/z/0vhM4Z2q37eBK+NPSfIY6SR2m/SB52q8ypzw8l/eND6vnYXP9fSL65HAd3QhvPyNObQnD+bK5H5ZStDu9MBdQpl8ECFu9ZcHheN7pwGnTpEL7OZd/dNP8PpwQYfyDXdosjQO4wvhxUf01r9MF46C/9ltsDd1dICV8X+paQ++aTALFPznz1jcnrEiHKeS4Luc8k9stC7wqRj3vNL9m0awQaAQiMlfNPxONuIVZ0Su0/5f63Q55/NFdWpc/lethOmfdIoVUP1r4fz/NBKUcUsZ9M/sq7Q663D10ttFv3niS8d4iViABjQYfvDwRzqOsAABAASURBVMZvNxOqND+QtOpXuLj/k/hZkOVy7Nz/psUWNXD+dO6Pyn0qBd8n9NQQxT6XgcXzp3Ozrn3z/WmbMXJQ7cPrP5UyKv+35x7G/5xru8URuEGSkG8sz7k9cGeRrb9Y3Q+6MMrh16YQcnarHEhAuz0hQIG3o8jSbh5bNLOPJAGD4fNzNa9XfjfP827yS7J2jUAjAIGxMu/5ZHTnRHjlmfTAXB0ryGXTfUXunh4SZ1Z4gjad4yfPyZO4T86V9TKXLe6Z8Xl9iPu3/CMIbK1RavM4EAg3zM2LQvIyWeV2X9zbkotJwdGI3G44VnFHOgggdVA+K7mtXUdzRGK9+J3cXDR0wdDDQrabKSS/l3tpYfny3N8xVO7cuXFcSTvul/tZAk6cGyfMMYZSaAhG1q9/iL8tfcePWEDkIz/1SNBAEOufenZ9YgKuFJq6q8fjCaEbhexQnJ6r7ecfyVW+6EG5n7rfjIewIrsphL92XzthjkU9Kle7K1fJteI9IvdjBUNZjiYIl+Y6CTdZ41n3FpfCfjf+5wpRmOE8xkw/SCse+p7EK3fN3Ogj/QJL4ZSceJ/g4P0r8dFuZevzH8uznRB1zO3AUvXw3OBpdbhp7vU1LCyQYageD4h/ObxiZ0W5j4zn+UOznB0jO0fiIYuDivfLueE3pgq3S/OSM8P1o7rlcab79vj+TUg++MVRljwO+uPRueHvCIK65HHDaTuev2ue8JVdPO3TR/HacI44VL4WWrAT4GiHxZd8yYDv5jkh+TMm/GL8YS9/4+6SeYbx5XPl5PXg3Fgcq6M8fzXP+o0S6Vn8cd2lsZslDB/hyySZ6eD4lISI+9e54rVcBtZt442/fmTx5q/O/NBPxGOMRx5PcIwE4iHjA3+dEGH0oM7qKi7Cq/ImmyzqHTsiR4UZE5TaUfIBnsqw04h/ycv7JoI8chkcT5mX3li1OypvGH+nBDNIXuTaLyXMGH9FrncJwd/uTW435fXz8iA/fTWdRxhq8NWTEqfwzu2GM67wBNkpvSNCZKxAMopMwk/47rR4qlMum04/VVv+Mb7iTuPEe8fOnKdMdZEfQ5P8bpMctJ+/cfLVeeZqvjCPCTdPapP4f5kI1V5XO8R4U37kGhzlB7tZx5a0957J414hvGlOgLs24h1zQuWXKAN+I5tenAf5Vvw8bjj8+xu5MxfJD/1Mnm8VMicY0/IgV+UvD20wNhJli4MV3vy+hGgz+Ss/xi35KYdcdYQGDyTaYBzzVwYc+BV5vlYe4KFscld9zA/6GObiJMrgCLDxaxwNkz+78+SQPP4iYcZ8Lu2OOwKr1H6Mv9P63vLMiCZ6lmDbmAbdmd6DgfNneSC8hdvipGzEa4tjXTex/FFCKHSEyZ1yb0LJZa5TX9vuLLGsLyISaiYyk7myCTyDU9iUDGzn/ynkRYQK/4pL2FK0hBNWrAnOfFY45f6TefiukAmSwkNQUJYI4HgPJj9Cg6WWEKZUyu+/E0jppMgQkupu8o/34Dwhpc5kAGtKGSVG2Ji0X9zXxbOsv7ndcNrBSkqoUaD1lQmRgKQsUuQp++pgQeR8qOM/dmE2Mhj90xfXzbOJ03lWFhWTAoVN3iYBCyeTkHJRKbQme9ipp8ndYoziQim9bfKkiFCunpZ758sJX4Ke4isfgpwipo7aABNY6SuC1o4JhUEYJc/kID8445FkO1w5/0w++EE89aR0Ef4J2lBeTErywa/aZ9J1nEx4kT7T59KpF8VDfzuuVf3tKI3yxVMH7baljKcpKxZM8q3xgBe07+4pBMaUXtbnUnbjvekoNXDVBkqbBYIJGq9TymAHU2VT1CjjF0tqytSv5WpsvDFX/YBfc3uCMxbVAabKsPhST22iTLw1sY11ZfPXP/EalKfvKNIWCxZ/wmtcUiYtBCxcLS7xkEW3tpqcLUSdrf/9ZGZBS8nK7aaTP388aoKVPyXFeLMINY5F1ib8hsfxlTHj+d8T+OoQ5cUYVAdjW/l4+LUJU74jhMqZlp/ggRzQPrtesKF84CN9/8eJQBmGjXCLQjKNkiaucWg8wz9RtzjjgQJkLBrrFFIYF/+OE1gsWlBQRpSnjfJnRDCeYaMO8iIH9Sksqq/kBU/hcLKQUS88qL+MPZjgAWNBegqW9Hi5lFVlG8PwUl/5Tknf6CcKFnwpiPyMXXGNSzyh/vIjxyyshSFjTF/ZDVbf8fEc2OB7dSd/pHd00iJPPY1hfWJxjqcpt9onX2R8KZeRQB9R/i3UyW5tFWcRwk/GgLLxGR4gn417fMZIYnwKLzwtnLUNHwm3c6H/HA3Sz+qoDq6eyRg8br7QfpiSFfpJ+eIWKZs8c7RTOca9HWGLbbyirfqZfNBefERO/3wygIdwRhV4xGtQJ2W5N6bUlzJu3sa/xjF5bA6nC5DRxpU+ooRLNyZtwgvC8OPPJlB+f5ir/PTHf+VeWcZebjeOKVrAvy8P477M48BfG8iWyouhi9HvMomgXrkM2opf/icP02NXjIjaZc7Em+SS/jMmEr1dI7AaCBAOO62pyYtAEd+AM2gNOs+oBifh5Nw5xZ6QopAJLyKADFzn5hxHoPS4EnglRCru+KqulEdxKGUUZeH/kn+EkBeeTKQURPmbwBN0gqOIiWtCKpoqORRxEx4LlPoTFtpTGakvAWmwEzgE7ccSSCkmfE2ulD1K0FRwJNpcZ9FgAoatHQELHMJqVgJtFX8aBmvCjAKrfOGwtfggqGBGmKsfRVJbTYT6TtwpaStl1FEhkwohR/gSeP+ayLA0MRPOwglFffPRhJnEtcWEm8fBAozwf0seTOwmNJOCdopH8SFQKcWEPnwTdbAoUpZJ2lEwfUiRoyziCeVR9sQtkj9Fl9WOhYY/xU4ZFAX9xu/9+af/9Z9FAcVCH8Z708GGxcZiVdmUSfV1FlhcfMZK/Iak0CfTCSfeW5z+gAXe/eAwDJQ6+Rsb08gwhxF/fKfvTZomITysLo4wOH5iAqcMWXhoC8VeWZRyk+gshVUdKF+uVQZ84G5Mah/FBAasaDtpn3woYXjDGKBUsKSqM6sdHNXJjpIxC0vKhElX2kUJ7nAyTuFBwTMGtJ9iY7Fqcpe/hZA2jctXV8YH4eOyxcPXeBFPkQm/lQishMYA6y88lKMvKJ/yTZTB+MMTFE/PY9J+Vk9yxoKToqK+FmX4ehyXPFGe/rSYUJ6+tlCy0DP2jAtK2XuTkByizJ4v9zt10uMBCyB1oYhXen2GLy1Ilc2Ciafw/Kz8xbEgxNPup3G0HZbGuXCGDUYG8YQxFJC7lEj14V8EG3jCikyS3m4CeaBfK968KxkEMxZ0cfC0xTrl1vOiRNmlwFvMGpeURQsI8yS5ib/JQvxHDpJX6qr98FV//Wj32f288slDYxB/KpMMZYGfGnOUZ/6zkFcXVnLzNLzwuPaSZwwO+MaijPLOX9nqIW/yA9+pEx4mX/GIOFPCl5RwfKM+5KzdImNmGvdkz/qH4UzdLCjxnX4lp/X3ND3ZAm/h5pvSOf4jERmxGIHgTY5R7PmZAxO86fSNucW4Ub76w9i434zUN43AsiNAuOy0jgQKQUtQUeIMjnF6E6qXZis/kyqBTUkpP1f5UBQIUAqN/KzkWQK3G0AUFQoo4UNAyQvVBOYeESqUVEqX5zGZ2K3gWTWKKLPjAV5n5rWVP4FnUq98CDjKCWFJ4BA87imDlCzlsoITCpThSneyq7gErniECgWHwPc8JZOBcqb+JjsKPeW3wkxW8lIn/UUhpIhQai3QKEAVd3qFF+HOn3DWXpOXPkOsgISlupjgKYSUMnixEgmruqiHiUFeJm2WPRZO+SDKjd0AiqQJxySPJyjgtqIpDyYzCx2TscmMMmTSV558iyp/Sl35uZq0tEE5ntXZZOse/gQ6nvVcZIK0s+BZnU2q2uKYgkWjsuAub/0m3slIPOXiJfkbO3hf/0zT4gFthRHLI0zhY3LDb55NniYsSh5l3viy6GWZl47ljZ8ypvnDlKJRY7HwNHlb+JnYWZxN2Hh9mn7es7FDwRGuvSZe41J7KBOUb3UzGVPwq0/E3wspyzgyocsHvp71r2fjQPlkjvJZp1kXZ5UvncWiRbZdGwovDGDJ+qf/5FlkYV/toiAYMxU2vuJxvGQxqA6IZRMvCRvHpVTBzTgal8dogpeNd/IHD0lX7Z1XtjhTgo228q/02ok3Ci87dOpp0cDIMIuXpIc/Qw3+8Twlyp+6w8cuk3EPN/G0lfFE31mg8hsTJQtGZH75G0fGI75S3/KfdyVT9GO1RX7z4o79pWPRl46ibsyQFWTxdNFhjmMJFtcYZLWnmOo/yqOFnnlHuHmm2j8ub3xvLNnBsiC1S/eAYRjMn+M4s+7JfWOQHBdO3uln9cA3+EpdhCHKOLmiz8kRfmSiudz9LCKzyEEyWnso0FN5PCvdPD9ziHqSO/gBzuYrBpdpGnwCe+0Rpu7aBE8LSgt084YFqT4xR+NvcYvU3wKx6q8/9lL/yrevjcChIoCRd1KggeBIggmHFYKiRVk1+LdLT6ATJrPiGKC2e1m0KAsstVbXs+KyKhLAVtaUO8rMrHj8DFYTmwnK826J0miysUVp0hznQzEhFCm2JhGTqfOI4hGEJmST1snwGee503tCTb9R3mZNXsLGwsgkQtmu/N1bYBHw6j+OW3G2u7JO6jNkQsITFlDSmMgdEWKFtVAQDhdhs8g5Sfkgxykc4yHM9aHz3vKm7FFM8AgFyMRC8FI6pXc0wfEAAnxahuMsY7/p8zhsu3uWH0qDScsEjrfUz4SqTsq2UFHv7fJZNExfUaj1kbFip0H75QNrFlv1MC4sLljWhCFKA1yRo1y22fkJGxOln7XSQkBclj08Jn9WTzscFAnWUuXri3H63dxTTFn7lGc8U5bL8rub/BZNg8em5cOwlILKz7imPJF9jriwvOM9CiAlbjz+8ACrvYWJ3SD9NVY6K8/xlQWcZRYOlD5H99RtHKfulVf3rtNnfgdFDByFF2NK4bGb8ihfFobGrF0Jcp0CSHk0V9h9YBCghM3K31wE6wqbPpf/rCu5rGxymRVXP1F4Z8Wd+lFq9RPStwxX+GVaPnnrOJljNXjaXEkekhnypHBalOMlhhWLI3KO4ip8Fqmv3RbHSSwkzDOOh5Hjs+Lv1A//jvlo+ryTfCjMjAUMJ3jZ/GBu2UnaWXHwgLwo2AxCCE6F36w05ac/yGmLOwY/csZCSl5kH96ruK7aa7Gg/spQfzsD9BbhTY3AyiBA8duushVGCXKkxgs7FG6WSkqFwVNxCAXWC3kig9BgovRWHFdKghW1e1ZfiwIDjYVg1iCitDqzSQhSSlgppC06T25YJg1MgpVyYvLZTuFPkpM6bbOlrE6UOPlXIsIKFs5lOu9pYcIaRbG3Y2Ex4bniT6/yJvSn/jt5NtlbKCibUlFpTAas7CYZi5+qL4sj660+o2w6ymLiNNkQdM5yV9zKa9aVkKXUqjdBqd/Ug4V1XGRJAAAQAElEQVSS0sM6TbFlUaH4wcw5X/09zQ+mJkc8Iw95yVPd9Rv+ochqj8UAixghbaGknQQ75dnCkjWIhZ/CW+XgORMCQY0n+Guzo0Ys6Mrmt1Oi3NoNsJtjAcSyqN0stKzjxsI8xU1fa89OMJ7WRz+aLE3k+M14gQ+rqAndsTMTFbwpQcaGvrC40k/qCdsaXyxe0zJYrfCHxYC4xqw8pMdfxpJxQOlikTUex3ks2j5jX/7Gs/L0EyusMTPOt+7lDztUfnu5mtDxpPF5svLxjr5TP8fVKGAWcHBk3cdT6uKqr/SHvsIrdu8oFcKnRH7gQcrllP/x9ji+PMRhcVSOMH3DSqsc7eC3U4KnNu0UT/0FL/x+Mrx2UgfjF37kkV0P56VhyV96yqAFpUUT6zG/InME3iZntIF/xYG3tvGbR/qOrPAyOjkgP+NpXvyxP5mFV2FgPFkEwEYcfVN4mo/IVMYgC21yTZ3JXnG1U/v1qcUxBRLvGGfCi+fMJcY5P20lK/UBA4b5EC8wLFS54i1C+EZ7jGn5S0vm2v3QN2QJvzHBF4mvXFfyiR/5IT91xC/jdNvdSysf+YmH/8l8mFo0etZP4gkfE3zUV3q4OZJjDlF3c4Ax6/05u/qOKk7rJZ2Fo8WScPWHC/k0LqfvG4GlRwAz76SSBBkrioFLoWF9ZUU1gCq9weZMrXOfBiFF0da0yajiuBo4lAP3rKryo2Daxp0qCiYtx1woHIQvRVF8V9vA8qCs2jJn2ZcfocciMh244i5KlFdCimJa5VUeJgR+zolTTGBEkNhmp/x5rrjjq8mDckCxZMEhTMfhJ7uXrzORFFtWHXggLz7BXNsJMNvX/B0jUB7LA6Gmb1hDKR2sbCzfJrmTlUs4smrZqaDUyNvLZCzkJhbKrPaz4noZD9nWdJzHJDHO32SmDRRR9ZaXeuk/kx0+cKTKmWsKEsudvCnw+p5iCTt10WZnlylIVQZh7ByuBQars/yloQA782+CqLg7vcJLfiyGFEL9oE543kJDm2blRaE24bCqmThmxZnnZ2LRdxZu2uAFU/1uYcWSbpEDZ0QJwg+sltpuAa7N0rH8wZnyOC3LAgEeXiIWV99SSCzGYQVj72F4YY81k7I/zkP71OnM9o2DZt6bME3OXtbVt/I3ZizCZyWQv4nd8YtF8ZuVH2UMdsoclz9rDJA7LKHab2cDNqyy3vUgx+ANM+9deNERj+BHx8/4zXpHQZ3wqp0m/Up2ycPuhONU+F+cIuUwoFAGjWVxYUd+GI9T+Vrp5l3xE6ML3MnzefHK3yISH8JL2fpB2yjgFWenVwobPvOiu/ErLwtu80G1Ay+yflOAYU/GVv7kqrP4+s2Okat6WdRoV8Wbd6Vo4l/yUVuMJwrxvPgn8yf3nUvXDvXRJnKLPKCg4wMyzJUMNN/6qVVjUVzpvL+Eb1iELRD0rbxYi6t8dXQsyRiTzvxrPjZ2zbsVb5ErvPEx44SxDQ8ve9t1tmOE76b5Kct4NFaNB+PDM/nvJ2rVjZGIkj1NO+sZT2uDBZYxBgs8Yq63oHAkVl3gMiu9co0feNEfyFnjEw+Jb7FIDtIJLKrUn3+R8i0CjTl86WgUbHda/8qnr43AkSNAuMyqBMXNZGN7UDgFlPLFkmAiEG7i4SeccuMcPUXeYKQ0OKJCSBlABqb8CArxCVWKG+uF/Ag625GsVcKL1K/SGrjiIsoDpcUkR5l0pIOFhrA34bJeVx51ZeV1ZKGsKeVPQSTUWAZZUgg07atw2+yURe0oP1dliEvBIdQpkF40YiG1JV0CRZu0ndCTh3i29BEh7diC9MqpuhGkjkzARFlTIpgIOnWABzKhyZOlRz0IJP4mCZYcAtHiyARJyVY/Vm2KPZynZcCFsmBSrTA4EJ7ykbcw7dUmlkJnj/WHSRaZtE0U0juCQIlyj0xGBCclWF6sKeqJ1+RLQSWIKeAmYGGUWC9MSss6Bz8LRsdBWGHgrF2VvwWNSUv+8rQo0C7h+ArPUso9W/zZutZGz1OiuItva97CRTl2irQf7jDgB3v4mijkwcpk0YTHbYvjUf1KqRWOJ0xe2isPfkX4kMJhvGiD8Ud5MY4oYpQCOCO/qkEhNDEaVyY3fCWdsWOsUjIq77rCwREn9RBXeygOFqveSTBB2oGgRFn46Z9K62rM4CHtswjjp74WAnjOM2wdUzFW+BUP6lsLB4sPk6q4U2Ix0y8mZPkbxzDWH+LaFdHv2qEN+kBZFER9gPCLceFe+fqRhbPKZwk2PuU3Jv1icUzesJRaqGorHrJIxFMwg7P+o4Apix8esJA1/oxnu1TqqX7KgJtFFr4Xn4JvvE3xFZeiSskjS8SVRt8ry5jQNnUSVxvxHD948BuTfmUNtxsDTzwmbuE/TQ9fVnJ5Kpu8gq86jfN1rzxjwXisdrA46y9jWDg+0lcWaHZUjV9+sFaO8QhP84MxQs7LG0kPf3yEb8gA5RmHxpVwcxZ5rl3SjIlxBg9Xv5k34Kg++kU99RN+NRbHz+N86h5W6kNpNP8YJ+qmHfLGX/pev+p79/jBTq72w59cpLDia2PbXKpvzFXmMrsAFlPKgZc2q68yyM6qiytFlmwp7M0PytVu4eIbS8qHFd5Wjl1NfYufzOvqIL4xpNySG9prTlcGI5o+gLc+NP6NETLD+MI3eNq8ZkEo7fSZ398NwyA/85X8lEtmk2HmQ7JBf/AfE35xVEvfq4sxYa6xONA2cY11cw7+gi+/MYlHhyDzyBeyjt5CPpGx47h93wgsNQKzlDgVNugM9Jog+BGWLCYGK4XGpMAaKAzje+GE4DZ4xTGZGYQGjAElvxIK0hAwJkdxCRhpxRVWRKBSjMUZk4mTwLFV6ZckDEiDWhyCr9KPr8ojYA3wsb9yCQxtlh9hrK0Vhx9hPU1HYMJhHF9cEwBhWelNttpOsJYfQSed+lJWPJuU4CgOIWfyhKnnWWRiV5Y8kLjwhhmByw8R8NUeirBnbZWnck3sNZHzK6IsUQCn7Ta5yBc55qJMaSiMlOviKZMwa49FEgGrH6cC1QQvH0Sgm8jlhZRPIRSmHhRE/gQ9xZ0/Iqi1mXIE56qPuOP8TWqUBP4IT1Ji5OdZOkoKXvI8JZOFOurzwo+ygd9LsVEPdeCvD+VhApWvulooeNZXrNP4HVEk8bE6SDMm2BUOJltjTt0pArUz5uqojTqaAKV3NUkpVx9PsRcHqTMerPFjclaG8aIdlA154Ff5SzMmfaZ94lmACqMs+VWXGu+woDxrt3CKloWJfPGwxak4wqYkfwpW5S9vGFdfyktZMJFWe5RlcQtbZDzCt8qQxjio8o3bCpPHmIwZZYurnOoj/UeJ4Y8vjF2YaQ8/ihAc9RkljjxU70qvDLKn8lYfCiX/WaQ/qzz8ULIZL+IreUmnvcL4eZ6S+JRt5eoPskHccXrKIj95SU+GaaN24XfhFSZ8TPDS1moLOa3d6i+e8sg65SPzCHzwOble49EznpReuiLh6iYtkhceqXBttzjTzvIbX4XDT1somfqIrNEv8rITqz7T53Ee43s8rn3qon8omcpmsVeGNslTOTAbx5dGmPLkqT78YIyf9RM+E0bGCJOnecw44D8mZRiDhT3M1Q2/iwc7Y3Xc18Z75UvOVlzx1cfYG+NLnhsH0pC95kGLEW3XX+SneoinPJiaX7R9+qwM8So/Y0Y8x/vsWMOG3Ocn7pjITG2Bd/Wndo3jkpEMQnallT1OX/fqr1z1Jy+r/vqp4vS1EVh6BErxWvqK7kMFO4uDRcDiw7axycTkbyJhffIb2hYNB1v68cqdouN4D4s/rCmRtvId+ZqntB8vhLq1jUAjsKoIOG7Dym/H0OJ8t+1w7Idxj7Fi3mJ9t3l3ukZgqRBoZX6pumPlK2NHwDZ8kXOI8ywiK9/YI24Aa5OdkMLa+wesw0dcrXUqvtvSCDQCR4AA5dv7XXaBx5b2RatiF8N5ervYi6bt+I3ASiHQyvxKdVdXthFoBBqBRqARaASWEoGuVCNwRAi0Mn9EwHexjUAj0Ag0Ao1AI9AINAKNwF4RaGV+rwgeTfoutRFoBBqBRqARaAQagUagERhamW8maAQagUZg7RHoBjYCjUAj0AisKwKtzK9rz3a7GoFGoBFoBBqBRqAR2A0CnWalEGhlfqW6qyvbCDQCjUAj0Ag0Ao1AI9AIfB6BdVDmfVbcxyv8DKKvz36+dXu/88VOH6X47r1ntZGDj2Goq69z+tDPhucO//lKnw+R+GCIDzLtMNmRR/NVWG2G4az+mVbwgfHwBT7tze0JrvD7hfguil+StGsEGoFGoBFoBBqBRmC9ENgPZf4sgeRSoYuF9iO/ZLOQ87U9X3z0kaKFEq5YZF8J9LU+i4tV+gCGL+npn/6t3xVjuK5uI7CcCHStGoFGoBFoBMYI7IfyzUp8i2R6g9BRWEv/PeWeFqLk7uUDE8liqZ0v4T04NfztkPtcVsL5Ap/+2esHQFaisV3JRqARaAQagUagEVgiBI5BVWYp84433DVtp3yhu+Seu3H+vSzE77G5XiT0JaHfD90q5OjDK3Kt+N+U++eHxH9arpcLjd0P5aHyEwf9TPzOGrpNSF78npN7Vv9cNpw4jmI8NE+vDv186BGhq4cc43Cso8qV/gXxv0qonHL5o18vz9G1wl8avyuHZjmLltsnQB0tIuBlUROv4Yvy73YhYcp4du4dBcplpvuq+P5pSFxkUZTHQXv+Kjc3CsFJXX8v9/cLKSOX4e7598jQOULcefLvcaFvC3H3yD9HVu6Ya9XnW3Iv/Jm5Ku8Hc5064X8WzwuHyl0yNy8JSQ+XSq9/xE/Qhvu5/L9v6GGh14TuFNI/+kD/5HGYpr8SzxHhQXnoX/lPw0dRh5vmQTuQtuaxXSPQCDQCjUAj0Ag0AscDgakyT9mimF8zzb9u6LKhrw1Rrinnzj1TxFjDKW3i/1TC/yjk08kUvYfk/htCvxuiaH5rrs8LUerOlSsnf8r/bfNAaaVoUkL/IM8UYZb+m+Ve+Y/OlTX6grly588/Zb89V0reM3KldH5Zrtwb8k/+Fg+Pyr1z1v+Wq7p+f66/FvKJZ/fXzv0dQsIQP+EUxB+J/31Cystl08GMwv2d8blWSP0/kuulQ/KAh/RI/S18fithFwjNchRu7RYXJhYpl0/Ec4bg7Xy9hdS98uwM/9fnqpxchvPln7Y76pTbwSLDwqGU+/PG82dD0l0tV2fXHdWx+PiJPOsT5cEqj5tO/0qrbTyV9z25geWnc/V+gkWVOv9FnuGkLrkdtFO+lOsrxuNvQ+o4rtM4vfcA7p04ystlYzGEB/Uvfnp8PO1I4L/cnuCunydl3yRXixKEp9Q3XofuusBGoBFoBBqBRqARaAQOFQGK6bjAr8wDJZoC+t7ccxQ/yiZr+Mfi8ZkQiysFjWU+jyc4iiXF0fGKpydEfJZ5eVPIhF80/v8c+peQM+8sz/KjEFKCWfvfnDBOHh/KR/yQPQAAEABJREFUzVVD0jpKI/5T87zdcRP5WRQ8PPHeE6Ics1D/Tu4p/OrH2i0Oi/bZ48/a/oe5qptwdflAnseOomjhoO3K+EQCWZ4tSFjZLQKU+db4c+oPN4ugKd7C75x/dg9yGV6bf+8LXSbEaR9rs/p73g3BSjs/lcRPDmmXhZdyKNzOsld5Cd5wyntK7iwi7Dhorzh2Bl4Xf8o3ZTu3w6vyjyW9lHH944y8RZZz/gk+weGraXrYV3rvA+hbSr70eEcd7biM8bMwtGhQpzelhH8NwUqfnTv37RqBRqARWHIEunqNQCPQCOwdgbFyJDcWXPRODyOiRLPM/kb8KIIsoXXUI14nONZh1uxLxNcCgOXXcRCKLwWMskY5o7xR8CmLjuy8P/EpYfzG5bME/1fCKPrqKz3L8YfjN8+xIP94Ail5jovkdviK/GPdt9BQJ0RZFZdiTtlnVaZsJuqGY3H/7427z/9T/gvzSMm3Y/CbuXcUxvEg2FkYWKTEe8NRoj+Yu6p/bk9wX5MnVnf1uX/uKc65bDgLnbds3O3PP5hpk6sc1U073I+JEk0hd7wJqaP2abfFzBUSufrWMSfKeLw2nLQWA1583fCY/Jumt8sC/4r2v7l5d8giKZfBgobfFD/9eaFEsAsDO3TDPNsBGOcXr3aNQCPQCDQCjUAj0AisOAJzqk85ngbxGytnlK9rJJJjFc/K1dEZRyc+mfvtHAsuK7f4FgHOor/4zAQUYsdS5OfYB0VNXMqlhcNYGZvW58wstr3I29ERR36myjhLrzohRzTUyy/h2EFA22acQJZnVmnvBjhS4/4B8XcsSV3Vf4wfv3F7EnXT8XeERHztd1zJQmczwhHeWAhpG4s8q7gFFau+RZnF2dtSNzs2LOi1OIjXSZ2F2zS9BcZ2CSn0FkT4ZhqPFV9fIosilnm7DtN4/dwINAKNQCPQCDQCjcDaIUDRHDeKEuRIiOMwFcYC6ogLhctLoY6oUDjHipV7Sqy8WFFZzj2zUFPqpXFPsWbhdabe8QiLBGfPHZegUL8jGThec/Fcq3zW/C/P8+tD8s5lW8eyzSrvqMwbRzEd1dE+lnj+6kVhVa58WcGVTXm1u6B8x4FY7EfZDBY3lHDxtcuZfosSbdJGx2tYs6WXDn7qpP6s1vyKKMZeHvXCrqNLdiR2sqCo9I7JKEd94U1RVlaF7+WqfU9KBs6hO/sOT4stP0OqTyzMHAtihZ+2K8nmOun1J8t/pYd/JdAOuzbi8IO/PrNjYiHFD+lPfeeIj7rpT/2nj8f5idu0OAKdohFoBBqBRqARaARWAAGK4LiarK+OjVwvnl4kZLV2nIKyRoFznITl80cTTsHKZaB8Uoq96Or4DSvucxPAmnrPXOXhXDqF3REU/iy+XiL1iyfIGX1HVoR7ofK7ks5Lt9L6WUNHTf4hfmNlLo8zHQXc+XRxKaLKsThx7MMxFn6Ohsjby6/KoQw7zuODTF6qdfTjlsn9p0NTxdCxIO2vPG6eOM7KU04thJ6QZy+u/mSuyjg1V4sHv3qjTnncdI6T+MUWeIt7t4RQZHPZkbNDIk/19UKr3RN9taPEO4jkl2S8UOtFVAqzvC1WtBOO6gwjx6N2kN1GFOkdofHy6qz02uPFWu83eP8AzpR0OAnbyCT/7AbgDUdrtF9e+lO/6c9EadcINAKNQCNwOAh0KY1AI3BUCEyVefX48/xz/pgF3S/Z+NlECr4XRynwLKG/kjheqqSUUXYddZCONZVl2K/H/HLisFzLQzmPybNz8azaLP1esKT8/3D8KdTOyrNSU+z9+osz+dJSWC0oHLNI1MExGdZwZXuWp4WAsjyz2HqBliXXWW+k3izqfibSL8ZQ3OVNmZbWAkNa4Y7PWKB4du/XZCxWPCPWae3VRnlQcGFRyqb6w4/SL9xPOMJL/eWrPEqy3Qy7HX7NhrIvroUMxdTRI5Z8x4BYn5Wrjn6dR3/AnJ86OFoCA88WTOpL+fVsYaE8OyKeYfKg3Ng5yWVjIWaHxELJ85Qcq4G94zTwpUxbWHnRlOVenf1qkXp6AVV6/QqDKlNZ6gBD6dUNHpUeX1nwaIv0T8w/v2jkxV2LJC8Ww5fyXvj5dST4wdYL2rBRF3l4+dhzsmnXCDQCjUAj0Ag0Ao3AeiNAyZ62kMLk2AglCzlOQYGlVFPcKHYULT9zyF96iipFtOLzY+WnfPJzFtwRFMocpdrRCUq/e+RYDWWM8khRfVEykA75yUqW4HhtuJflP6WbQp7bgZJHgaz8XSnz0iL3fnGF8jfkj1LKH1EclRfvTecokTBn2B3Z8Gs06rUZITfa5icTxZM/Rb7yp0h6UVQYssihuCbZxsuc6jqO72iNPMSlVMOV4qsdf5JEFie5DBYNf5MbCwH3ud1wfvtdWvV1/MmvyFikCFQPv2CjTz172VV9XD2rq4WJ8jxPSbgz8X7vHs7C4aWedlSUS9lWZ2ULh5+dmeofvKHNheHJ0ssbf1m04TcLN3nIW33k5XhR4e2ojnogx4LkL25TI9AINAKNQCPQCDQCa4/ALGX+oBvNos6y6yNEFDxKoBdVWZgpcgddfuffCDQCxwuBbm0j0Ag0Ao1AI7C2CFDmHXM5bHLMxlEM562Rr306ouPc82HXpcsbhsagMWgeaB5oHmgeaB7Y4IGeE6P1Ni+sDi98GWXeb6M3DUNj0Bg0DzQPNA80DzQPNA80DzQPrBIPfCFl3rnkpmE4Egyy+u1yG/vmgeaB5oHmgeaB5oHmgeaB3fDAhyjz0SfbNQKNQCPQCKwAAl3FRqARaAQagUbgBARamT8Bjn5oBBqBRqARaAQagUZgXRDodhwHBFqZPw693G1sBBqBRqARaAQagUagEVhLBFqZX8tuPZpGrUmp50g7fPDsprn2+AgI7RqBRqARaAQagUZgeRFoZWV5++Y41MzXeX1b4LsOoLHXT57/HPJl4Vx27LzBfoXE9uVaHznL7YE6X1r25V5fyfXV4/0uzMfYfDX4xsnYB9pyaXcICJwlZeA9/IR8JC9e++IsOH2kz9eel61Pvy8t9KG/r891O+dL4H+bCL8ROlvouDpzsJ9lxiOzcNC/eEf42XcBkjz99POvJa2ycpnr8Ks+uUVi4N9cTnDSnzs+6oLUK4/tlgQBvPKlqYu+Mb5yu8Xx/6r4kiG5LOQukdg+Sml+zO22Dq/6yOXpiYUHcznBqeu54qOuCO/hr3i12w0CDd5uUOs0y4YAAXaNVIqQymVP7lJJ7Yu5b8/1MJT5FLOv7huT2xVDFgm5tDsCBM6TMn8i5AvOFmm+TvwreTYZ5tKuEdhEAK88Mk//EbpD6AtDY8fgIfy98fypECUolyNx35lS/yD00JAFmy+DXzz37ZYDATL/HqkKQ9T9c50ahyjVp8bfxzop2bMWbAk+FGeO+q2UhJd8Tf4Fufe79uqY23mu/ech0Mr8PGTaf5UQsLK/Zyq814mFIPmB5PPm0PtDq+i+N5X+yRDLSC7tDhkBPPQjKfM7QncM3ST0o6E/CwnLpV0jcAICjAcvis+tQmRZLhuO4n7J3LGGvy/Xo3afSwUogY4g3jz3jCgWGF+c+3bLgcBnU43XhK4dukBo7PAWJfpf4qkvczkyR/e0W4SX0JNSE8dbLV7xfR7bLYIAQBeJ33Ebgb0i8GPJwPGXf8z1W0Nj9+15EIb+OPdThfQ+8ROGHph7lgeWaJYraR0neVn8KeS5bDjC6yW5k+b2uW7nLpzAK4VeFvp0aOyulYdHhChplZ+JLF6b7pty9/KQstB1cz/LOYLw5wkQh4WLAMvjphP++DwJV9b1cj926vDceAh3hSNFkYWDQKQ8Or704MQpd87c/HVIGhZjZeRxIAN+MDfKESaP3WzBJot2QeB8Ifz39FzfGeJMnPA1yd41HvcO4VV461u89ZfxcyQqlwHfO35y6zzUxHbZ3L8+9NoQ6xtFKrcb7oL5bzKUH6XQRB6vme7X48sCbHyJ/+Q8f0PodqE3hJ4VunyonLrcLQ/KHceP14azVY7PhL04PhcKjd04XP63TWC1KbftgsD/hp4WgrWxWPgYm3iDceE9CS9HKSv+gTtZ6KhOhZNj+A/evx9PRxhy2XAWBv8vd9K9Ltcxj+VxW/e8hP5TyI4l6+8zc29ngUU4t+2WAAHKPFnz8dTF4hAP5XbDOXr60dzpdzIpt4N5wTGsGt+PiWfNDebXX8gzuWNes7As3oz3INwRUeH4iVzbqbXf/IQ/8ZLF7FuSIT4yj+W23aIIjDt60bQdvxFYBAFC4AZJYMDfKFdnuAmR8+aeo4xTLFiVKasGNWt78ehtEumDIQKFkiyOFf1b40dBoEg463nlPD81xFFypLtOHpwvpnTYKs7jFqd+8v23hMiLkMntpnM+9GZ5+rlQ5feQ3Fd+V8s9IaoMdbRoMeF+T/zlncuGM5mybhGol4mPOCZUE3kehwo3aV46HvKjfFko5HFgbfGOAUGtnCfGkwIvnXgPyLOFgkUJxTGPA4ENy5/NwzVDFEGYEbyXy7O8LHTkZ3FAgYh3u10gYHGJd01uUx6SHZ68S26cTYa3M6gWTxRqk1mCBjxvUUBR8vzN+feoEB6+aq4mbMfK8JWjZfr87+Mv3u/l+tMhCl0uW5w4eMFOgfKV9cbEwhOOmD07978UojDKX5nGlLEh/gsTZgvfAlRa4wHv4X88dPeEU+Bz2WjHz+fmK0LCjVe8dvU8yzuXtXF7bYhjNM9JJvrVeM3toG/JgFfloYwL5KWPylDu9RcsKV/6XH98XeL+ash5ZfLFeLZThCfxF+XLPT66ZeIhsnfR/iA78IN6zeLzZN3uiBD4QMq18DJP4aE8DhZ7358bSjSFPreDHRVzB1lhTjEXmE/5GdN2X4x778G4f1ASMTjgFWS+VYZwCwW7kOZ1fJio2zrpyQVyBM8zUJjrVvV467aNPYzAnYB+GPXoMtYfAcqqCYdV+E1pLqWZBZmCLsz9H8b/pSHCyL0zdCaneA3Oajp77P4/848y/N25bucclaGYfCyRKDvSzDu3TAGx2GBtEj9JtrhZ+TnaQxGiqFCiWVglZIWlgFmcWAjwQxfJP2U9JVcWOZZQ7TIpxmswQYpPSae0qbdyvyWBxivcLAb+Nc/cq/NP+YRibme6T8aX9c5ZSXgT9OKbkGFPmaQQyP8JiatuubTbJQL/lXSfCM1yLGJ/lwCUy0mdM9QmO7xrAcDi5pypM6aUKBZ7cVjmPT8/OSp7bF2P16b7VO4eHqKU5zJQ9iwo7ARJj29N5BYSJm7Koh0pyqP4FspeolMuPqYU4nl8pY7Gm/LFlf4quXlsqMLxngUwRSLe7UYIeL+C8kUGUHYoRrC0i6lvRPXyoTAWd7yE17wMzWhAVlqs8WfpJz/IkUcn4f+ELBCltxv44TwzGDBA6GMKfrx25MgJO0oMBvJWxx0l7EiHhgALu34y/sh5/GFc27HBHyrCsGCxaGfbnMtCTvbjI7u9FDLE14sAABAASURBVHi8Zd6g5HsPyDjGi3Z7fjyZ6P8Klw/lvxajCZ7rWPUZl+wSMQjUPGc+mptovQL2tzU6e39z7NwagdkImPhZlW3PVoyP5IZyQRmlTFJAHPNAjrCwJlBsE21gVWL5E+bFmW+Lp0ktl7mOEluKOUFFKSaoZiVg5RJGYZoVzu+/829WflV/inWibDoWNQJzLNwoOJQveYlowpWnq2eWNwsElgptZWVjMak8tNkkyooh3DboyQSgRQNrDCFMkMNdf8jLwsoW6r1SOCXvZ3JtRSsg7MHh2XnKkX5+d/KmlOdyUofvKWH6TP9JYMyUAoVfLFAdQcMPFm0sssUv4m9HlLqayMVTL+TeeMBbrMaeET4yroRZEBqj6iYMCac4usfrdirsAqkbsjCBDwVDnKbPI+AsM/kII4spxgzHpgpf41V/w7j6SGr8ZEGuTxA+Ie+E6Qtxjfvqj5KjLPx2OBftD4YFu0t2gV6RQpSXS7slQsCYtcPMGm+XzfEtBgSGsKomfjAO+VUfUtbNF+ZDvGaxWGFkRRmdKPMs+hac+MDYZqHHS/NkX5XrKp/75YYRDNmV8iMBdoVbLw0wi7oGbVHEOv5uEaCAGMDbpbc1TFFHlEsTzTuSgPJLyXQ8h0WKZdJ2oQkqwXt28nf8hFVSebvNkII8Tjt9FkYRIizdzyN1YA2Fg5eE7Fqwpmmv4zasn+oq3HEJQnZeXsNJAghrQtSWKQutozmO67CcnCRpB89AgOIFO1awGcELe+lzC7+aUGdl4Ey1cYEfLP4ogSyys+Iu6mcxMV7c1TPF0oKCsrhdnhbQduPUjRXOTpU6GgfbpTuOYfrZzqDFPFnHSl8W9jEedkbIrPKrZzwiDwvGCpteKW7VH7+ZQEf8vJ8hXR5P6s6fGI5S2dmhxO00XZK1O0QEzDGs5hZ3jsBcNGV7no5XsmqsfHs23s3XtSBM0plOHLvRxjZiYXesjnFgZoI5nsrB5xayDBFj3p6TpL2nCLQyP0Wknw8KAdYhVuAarCwCFFMWRGEGssmLIiues3MUTcKHUmwrmKWBEuvFwrEyYBJTb4LIdVFiZWDtdhxgu4lwXr4fSgCrvDyqDgSkIwis3hSaRNlwJlPjjrWEB4uaHQtKkmcWFYKYgg4Hihq/aq9tUdZSL/oKhxGFT1rkHraULc8nI4qANG9LRFusrHXOb6t/vNotiIA+wcNegoVtJbd7g+p5fNW/dmdMovqNxRuJg/8drbJzNStcWvzPoqZsL5LxK36Rx26p8mKBw7PyUS919PKaMvE+/hWOh8VVT3GNaWNbG+SlfrbktRXPidP0eQT0I/lG8bIzx1rJ6l4xhHsXw9hkuedvrNv9YNV3FALm+M55ZOF2TuzsiCfMAoxRZdwf+mjcH9LNIlZX70tIT060Ij8LpeXxM97MZ96RMZ/iDzxUNcQDxi/ZYvwa13hFv5pfyLGLJTLlGpmvzVfxGsxj5jX+8lUWHmTMUKY480g5+BMfi+PZ3E+2+IlW8x//pgUQ0IELRO+ojcCuETABOENO4XU0hEXI9ruJnvBwJt4vz3j5hiVamJU+BcHkT5GnHAvzyxvOAhb/UipMcvJk0XK0ZacVJUhYwkx2rP07TTeOpw3OEhNQBKc6OtdOYXd0RdsrPsVMXbXBS7KOEzmfWJOpc8eIhUO4c4t+4pBQlQflHl7aqRw4WewIQ15mJJCdZ4QRv+3I+WV1VpY0MLZDYtLfLl2HzUbAIoyVnIKFB/QR8oswXjLDb9OUJkP95jeg9TfeMLGJhy+8RyKdF8YrHG8Jd5TLQsyLjbarheMXSrXwvRAlj6XYVj2LunYYuyZ6kzcesXX/QynE2MPLttrVOV6DidkOgTAkvXOyeKzGrnhNn0eA8s4wQOnyLk1hWTEoYPrb+0fwdGRG/7C2k5PCLZjwAH7QJwwA8pM3OaUvvYgsXH+QySfrD/JRmY5B+PUSckP5jm84jlH16+vyIMBybkFIufZDC1NeYkF3jMtRGefh7c6SPd5rIY/s+upnO7XmGbKl8pDWjo6xLxwv2D03/in426FgsU/WITzohyUcG/UeEP7Eq9ul77AZCJxsAM9Iso9endVxQ8B5dMc4TDoEDQXE2UuKwSsDhkmGVZE1ycrfALcFRxl27MSEJYyVQT4WAEk2OENqm8/LfCz9rONe7jotgRSSXAYKt21hP8/ouchiwUthlGSWhvKfXlnMCJ95+Tk7SmGp+svPhEkojvNiubC9TWFm6fKTYASotrFICCckK5xgJOAsAOTj6pgCiwostNt5aRO4cIoWJQC+LHSw+aMEUPoISWS3wMtKyvPCpJePWFwIWWXrpxLaSdpuQQTwMiWJkq6PkF+JsZXshTKkfypbCwC87ugC3vVCqclTP+gv+eB313G4PE2qjmJRqvE+me5XoSh1lf/46mwr3tL3/C0UTPTF13a9LEYo4sLxjkW4xYR2eFGWVdYYVjfhXlZXrl0iyqPjNPhTuDAkXP3wGp4zpvGuF66rLso7bgR3PxPKkAAv41UfUcZZOuGBP/ykqD4mF70XAUP9AUdhXmyUngxzbA4vkS/6l3xxHALO+tJxC8q5MS+ePjHe1UWfkA+elV2k/+3GOOesn5WNlEFGVby+Hh0C+hcfkDPmTXOeD3uRRfUStR07490imwwy1h3hNA+S/+Yh41U8L9WTLeLhS4s5BgoGKa0Ubi7Cg3iBEUp5ylW+F7rNXeolfhFjlHRkDZlgx9ILu3dOBHIHH+e23SIIELCLxO+4jcBeEaBsEiAEikmBwkIBli/LkTBEoSFQ+CPKg2MwwijkLPUsCMKQic9EZWKk9HgeK02sE345hlATv8j2HusDBWwqdCqO66z8WC0p8cIRhdqiQx0pOQQT/ymZcNVNPOfUKejjCZTgJCiFy4clrCZXdTTxW8gIp6TDgVKnHJipl3pY3Hh2JTiFE5TwoRjARHjFlx9LDX9xl45WqEKULgsmmCK4wt6vhyAT3rg5trT1GR7GoxQsC9KKs124BaDxohz8bwGprEo7vhpveKb62KKTQmfCFs/HicShjHvmj3/UTf4UBTwjDFEA8bBwCqNfWdJW/sKlZx0UjrRd2fiY4kHZ9CzucSSKDcXcmNR+/UYewIZCxA/eZB5lSTjlvuQHOUB2jPnJcRqyEt7GOUMEOSWt8iwCheFP8rjw11fKtRAUV9lF+kvfS4cPilhvS7mruH09GgTMEeYxfa2/1MKcqk/tXnvGU8Y7ntHHeMu8qF+RsY9HxJUH3uSvn8k0c415Wzi+MRcJxw/SSiPMlVxQF/H4jQmP4j/pEAOEuo3j9P0CCLQyvwBYHXUtEXBekLChOBGGa9nIblQj0Ag0AscQgW5yI3AsEGhl/lh085E10rluZ+KWmbzs6eiAn+Ja5np23YbhIDBwfGAvA8TOjvOiB1G3zvNg+nynuPrY0l74w1GW5o2j7cOd9vVBxNtv/Qo/HkQ9O8/V59Fz7jez7WVSXO20XftZCDhP6Uxc0zA0BsuJwSy+XcSPwtZ9u5x9ux/9sggvzIrbMnB9eeNk/DWLH/bid7LyOvz48toXtDK/l6HVaU+GgJdpnIdrGobGYDkxcG70ZHy8Xbj3IurM6EJ9nEw7/nLyRPWL8+h74Q/H98bngivfvi53v+9X/+z3sU38uF9163zWiwc/3Mp8ZtR2jUAj0Ag0Ao1AI9AILDECXbVGYC4CrczPhaYDGoFGoBFoBBqBRqARaAQageVGoJX55e6fo6ldl9oINAKNQCPQCDQCjUAjsBIItDK/Et3UlWwElh4BHw3xu8K+CHkQlf2eZOp3jH1lN7ftlgmBrksj0Ag0Ao3A0SHQyvzRYd8lNwLrhIBfdblgGuTXO/byc35k0rmSj68C5rLpfK1S/srZ9MyNsi6dq48s+UCKj235uch4bbhr5r8vEfqeQG5Xwn1jaunDLt+S69hdPg8+yPRNuf5wyIeCvICr3T4a5ovDZ4v/UTtfqb1eKuEjM+qGfIWS/1fG3wdofMSGP/Jl0WvH/+YhH63yhWc/a5vHDedXOnx19vZ50t+5bHG+dnzd+L4tJM/35HrP0NlDysUDPo7mOV5r4746LfGhsB/LdYzNxfLsY05XzvXqIR8dgy1sfLTO16xhlqClcr4me5XUyIfN1BU9JM/nCQnzVW8fzdK/wnxsy1eHGRG0z8f9filxq22uv5jne4SmsiNeG86Y+fbc+YCaPOXtK8YMFNeKPyPCZXNddwcHfIHgVu09f258HMqYJntekGcfjoIV+ePF3K+N3yLuKOIaHxdPwU8J6WP1/6vc+3lqYeTPR/P83pAwH8D7tdx/V+j1oXeFvDiMF3M74Kcfys2vhM4dmjp5yvuPEmAsytNHuK6aZ/PchXIlk8g6z3ncvdtzBrsvulM2Ao1AI7AFARPog+I7VU7iNdOZdAjDP00ohd2XBa+Te4L0vLn+dMgXEAnv3K6Vo9RQ1Ey2N0jLKCAm3NwemTOnfF9Kv2/oe0PqZuFxi9zfOKRffGHyTrnXX8K/OfcU+HvnSnm6Y676lBJOwTDJfjp+fh1r1q/L4IG7JBxR6OVpEvVrMhZ6ykzwsXYfS+thA/PvzD1++Ylclw2by6VO9w+RAeqKvy+S558M4S0L2N/JvcWKfrbw9fVQ4/yG8f+BEIXzArmKr60Xzb2vE+OH3J7gzpon3wLAe67KZDR4bfwthJYNn1TryJ2vxlpAwYrBgSILf8rtkVdumwpY+D4g4b46jSco9ha2ZJF5x68P2V1mNMFb+EB8fGURaUEnzrcmD3wh/ffn3teZyeLcnuAo6w+Mjy9640l4/UKeLxzad6MCZk++7RqBNUWgm3WQCFwqmftZRlZTky4BF69NR5ESju4cX5a1XDbdj+dOGHJPwBF214g/5Y8/YZnHTXeJ3P1mSBhl8YtzbzJhIcrtwEJtd4ClSDyWkOcmgBDOZW3dP6dlLJPwye2ROf1xpZT+T6FXh7jX5N/rQjcJUZ5y2eL0F0VdP34koRR5eV0t95cJ6W+LgNxucVeMDz7BYyy1eRw+k3+/Gnp5SL65tDsTAVZCBLfpmD0zypFc6CNkCusohUu/sYa+OLUhEyzacrvFsZRa9LGk4hFKu7gUNgvJv0gK7c1li6OwWTjiL3yqzP9NrD8Msch7zm27OQiw0Btz5I7+mxNtKbwtCu0MmhM+lRpZlDwrV4o2/1ljwQ6x+YQxyELSopjf+ZLObs+zc31FaNb8UkaIJyQcX+IlPPaYPH88tK9u2cHf18Z2Zo1AI7BvCFCwnprcKMqPzpXyTVjmdsOxYrBYCLfN+N3xZV0rgXnrPLN+PDhXky1LjwUBwUfgmUiFvSTh5cR31EJ+LGeOF1gwUNyULe+vS2SC8ja5shSJKzyPa+18HdJxFNu2R9lQcwrFSh9UPUycjj+wojouVf7j64fyYNJkzTKxSiOv28bfkSMKQ263OEo/hZ9S8aYtobvwOAZJviNtpOg+NleWaEhXAAAQAElEQVQKRi5L4YxfCzi7MBRqlXJ17MFij/VUHP5jomDhAwol/mI0oHg5LuLYlcUABX+cxr28LB4YERyjWCYs1G8ViCJsB+Npqay+ymVpHd6idOMvlXTvKCB/MofflMghfGEnCI95Z4tibhfQYsCu0Kz5hYGJgcFcRrZN8933Z8Jy3zPtDBuBRmCtESDUWNIp6o9PS1k/nUslGPM4UOZumRsKuXBWtofnmQCs8+wsX7YgKWnCnem9WeKYuFlmWZmFOVsd7w3H33YnRd65awocyxqlxJlZljl1QJT7n0kqVjvHbVjq8rgyjlLieBDLZNHfpPZjhca7Bc6vwup2CbPActY4t0fmTHQsVV5YtnNia9mCy7sL+MbEaIJ0lIK1VNvs7Ojb+6XWTww588zPLg1lDJ9ZpFHopnMWhUy+FHkKXJIfO4e3H5pWF54wxRd4P94bzkIJ/xhfzqBbJD0vIfojl6VwlCtj2xEpRxvwDiWKVZ4Spa/xF9mjv7WTEqn9v5EWPCrkKJYFLX6jwPMjc/CPxX2ibDr52SlidbUbsBlwjG+MJeOO7IUvcl6ecaZgsfhxdlwYgw2MyeNl4qWq6/jqnQgywg6h+YHhgAEJn+ENcsnChPzSNgs88Rirfj4ZwUEeZLMjOxaLZLD5BW6JsunkR1Y5PoivNwMO6kZhB5V359sINALriQBhTokm8KuFlLGaECmczhOaeCnothudhWU5NilLQ9g5zyrMS0TlL2wescCVlYPgJXDVg/XD5E0oWyRQBLwIy9rv5Sxf4bQrsEryjmXb2XNtKnLmGc41aTqnSdFhaXXvJVNWpnn4HYY/BcpOi7Om3nuwYLOws9DSJmdU1bPa5GUw9xZ6FARnnfUliymeeU4q7QUzypqX1ZxXjdcWZ4Ld4nlMPIyzn0tbYQdLhC8cOYv3hjN28A9MLZ6NO8cFNgKX5B++flnqcq+Qc8t4hxLFkmqBbsxbiFQ7KVoWMKcnvhfgyYIr5B6f2a3BM16C9vLz4+Jvd5ACn9sTHHlGHp3geUwfWJm9e2MXDR+hOjZXkLBIk612d+x8skA7dlLhy3q1kGV0IiMp4si8g4fwGEMCBV+bEZ759TTGOHIkTXsZFhgqHMtiLCKzYHDTxJvOL57xVoIO3ins4EvpEhqBRmDvCKxeDqxeBCdi/SJInYk2cVLg754mUfCF2xrP456cHQEWxzcmF2fIWespjoS2hYOtzwStnWO9NrlQ6Ew4R91A2+3OhTp6hShU/Cz+PjGpnBeW/y5+XoLFB+Yk1jITJgsh6zLrll/q8RIjq6x4SbLhWL0sIilyY/+NwP63BQGLKS+LWzDZydkS4Yg99KdzyHaa8A5l3hEtcsNCdlw9VlaWYTxSxyQYEZyB/71ExEsWLBTPh+XZi47jRZ/FA35kXWWASJR2CyBAAXYsEv4W5bMWSgtkd+BR9bedH3IFbzHwWARa/FHYhY8rYVeZ3CJbtE07pXPmHj9a5HhZn7GBtd/CoNLDRr7Smu/K/8CumP3AMu+MG4FGYC0RYJlhzRgrjiZDW/kazFJo4qWE2YJlHUcUPP6UapYMVjjHb1g2CNmpMJXXIsQSbGKmrMirtj5ZrVkmKQqL5LcqcbXLkQm7FqyPy1bvsrLra5PjuH7mIAoXiyDlzFEaizB8w5pPQTcZmkwpddP00phcbXX7eUHxxvkf6/sZjTcuvJgMWwoI/GdEWxov/UpR9H4OBWlaMUds+Akz3inyjkMgvFNGAsYEPKb94iP3Xswmz1jylx0LdV42MibJbrs+xumy1W+7+uAdP4lrZ9cidxqXcYhByo4QXjFeLP7wIl4RRt447mnOE6fyMN9YDNg1dcSr/A/sqkIHlnln3Ag0AmuJgEmR9czPwDnS4jyll1XLOkaQObvKEi/clqXz085VEqAEoi1PL6x5qdVPFopHHhGczoB/W5Cz5clyn9ttHYFqe93LsX7BxDl7AlY5rI8masKWBXfbjFY4kKXImWgWVxako2yKPqaE6Xf96BgE67sFh5+yc3xCvwjHF35K1Na+OlPk9b+XFk2Ojlc48+zn3CwAWfcpbuIWmYwdpbKIk16+yBa4o0r4o+L2dRgs+vQF7PXTMmFCQbKg03+O0XhHhjwpC7x3KYxn4eSOow6sw37D224Of0fs8AgZQ6F37v76aaTdOnIgt5vOUT3GBL+ExOpaR3j8tKrjYc07m1DNvCFjGWUci/KuwzLjZX5x1h2PID9Hijfs+DGIOBtPXuAB/o50+QEG7XOW3nEiRinzCBnFsGAO83O65C8+LZDILu9y4UO/eiOeMv10sJ3KsRW/0uzpqnF7yuD/Evf/RqAROGYIeMnM5Of3qu+QthN898n1nSGCjGLJWiPc+WkTsO1ukylLmEmaAPQiJKXd1QeRhBGqtj0pgT7YkSwHOwE+9kE4enY223lqViEWOcLWBOxFWuGs8ZR75Quj7BG+wpadTAp+Mg0G47papPA3mbCsOpvuvuI4avOWPNj5yOXI3CVTsglMv+sDizgvt+ILR6AoXhZ6wvGIY1Be2LRwU3ftoiQkm8H5bh+VEp911SJRPsLG5LfHTcQss/JFfmnCS8R4haUWv6wKD4zbtt29xS+Fw7gbx8MXzgBb1FI8vCiKfwo72FgwsRoukwJmceG4mP7DFyznjtqwnFqE6ENH6YQ7LoHnKeMs8Cz4nrUZFhR11lHxyQjHIfCCsDGRKxaBjuKRQ/L2oiNecwxMmcoep1nHe9iQp8h9tZFM9vvrxh++cm6cPK5wfMS4Q46X3zJeLewcrdG/iP7rWwtedNVGi38/ZYoHvLdBduBBMsM7KM7Pa7cxZCyZw8T3fgFjhHjjdpuD8J4d6pKHPohGHuInx3DwVuU5TrvwvcYsnKgTNAKNQCMQBPxajTPMFDZKF2FHsUjQhvNb48IR4Uh4bQQMw8DiatIW5gMxJk7CVDiF/G65EUbpyO3gFwb8yglF17PdAeWZiCk0zsgSvsKKqnz1O+pfeak67eRqkWOymSpoFHgTDQWDcsoqKW7lyUJ91zywXudyZO6VKdlZUv3nrDsLlT6K94AH9JUwZCFIkWcZM0Gy2nsHQFykvyu+tnnmP4v0sclZvsiCUjyTLKu93SN8w29diHJFgTX+KBnVLnxB2YUlxfSXE+BIRC4bzqKPYuODNuN0G4FH+A+Ps1zqP+QlVkfzVImCaYFSfcxybuGnf/GVdOREtWcc34KAAiWfWQQP+SkTUbjwpIWk3T4K16x06+QHR7saaDxOjEuKK3lK9hhHY76xOLezQaEv7JcRFwq7uUb/IvOJhW7V1aJkzANenGY8YoCyEKR444lpfHKYzJ3VdjxnnlIeshuAx+Vh0QnLMc/y3xW1Mr8r2DpRI9AINAKNQCPQCBwWAl1OI9AIzEeglfn52HRII9AINAKNQCPQCDQCjUAjsNQIUOaZ/puG4UwM+hqObSyaH5oHmgeaB5oHmgeaB5oHlp8Hvpwy78WRpmFoDBqD5oHmgcV5oDFrzJoHmgeaB5oHjo4Hhi+IFdYXE5uGoTFoDJoHmgeaB5oHmgeaBw6UB1rvan1rn3ngI5T55NmuEWgEGoFGoBFoBBqBRqARaARWDYFW5letxxaqb0duBBqBRqARaAQagUagEVhnBFqZX+fe7bY1Ao1AI7AIAh23EWgEGoFGYOUQ2C9l3osPfjj/MUHgS0KLOul/Nol2mz5J2zUCjUAj0Ag0Ao1AI9AIHBYCXc5yIDBLmT9/qva4kC+e+WLcH+X+y0PbuVMSeK7Q14bc57Kwkw4tnHDBBF+R+L4GeJdczxoqd6Hc+FLerXP9otBNQ76eBwNfFrx+nuElva/O+SqaL3kJl+42CbcoyaVdI9AINAKNQCPQCDQCjUAjcPAIUE7HpXxxHnxG3Cd7L5l7Cu7jc71A6CCdzwj7dO7NUohP5+ZyZM6C4jtSOuX8h3OFAUXeZ31L+fepY59Vv+iZ4d+U6x+EtCOXdvuPQOfYCDQCjUAj0Ag0Ao1AIzBFYKrMnzMRvi307lAp1c/M/etC3Pny73dDrPWI0pvHuY51Wzx0+8SyWMhlYP2/c26uEpLfabkKv2uurOK5DNcchuGBoS8LcWfPv3uHrh7ihP9ibq4UenhIGVfLVRvulavnG+a6qDtLElDSWdn/I/fcu/IPDhT63LZrBBqBRqARWGoEunKNQCPQCBwTBKbK/AfS7reEfPHrCrmOHUv938TDsZLTc31C6JGhq4ZmOYr8hRMg7iNyvVGIhTuXwZGcmwzD4LjLE3P1m65fl+t1QpToXAbW7hvkps7gU/K/L8/fGOKE3yM39wn9TuitoceGnht6cegvQ78RsmDIZceOdf0diX3ekEVGLu0agUagEWgEGoFGoBFoBNYVgVVu11SZ/2wac8uQs+LPyvUfQpRmZ+Z/JPfOjj84Vwr9M3J9cuhOIVbzXE5wzt07siPuaxLyptANQ+WUzXr+nHg41vM/uS7q3pcEtwq9PvT00NlCjus8L9e/D70nNC4zjztyz04sivw1cv1Q6EGh8fsAFha/HD8LiHfmakFykVzbNQKNQCPQCDQCjUAj0Ag0AoeGAIV6WpgXO1nNWee92PmCRPi50GVCbwiNHSX9EvH4ytDUOa5CGbY4YKV3ROeMUaRP5P4fQ/vlPpyMKN5e3M3t4EgMZd79bujPkuiyIdZ97fDs/Hy8BmfmLVTsEnxDPOw6vD3Xdo3ADhDoKI1AI9AINAKNQCPQCOwPArOUeTmz0D8tN7cNeQH2urn6FZdcduQo8j+QmM7A10ujY0U+QUfmHKP5yDalv38UZkHgRVe/fKP9VxyF9W0j0Ag0Ao1AI3DwCHQJjUAj0Ahsg8A8Zb6SfCo3LPVeBHWU5ZvzPHaXz8MbQ/8VGjsvobJWS+NXXpyNf3UiWCTksiP33sSieOey4eSJNh728M9xHsdzLpY8HJfJZcOxsnt2LGjD48x/FiEfy31Rbts1Ao1AI9AINAKNQCPQCDQCR4/AVJn3MqtfbXGkxvGR70kVbxxinfdC6ZVz7+cjhTmG4wXV34zfJ0Nj55dw/CIOhdnRFC+u/mgiONOey46c8/nydSb+cklx35BfwcllT84C5W+TgzbeLldt8bKvcn4rz47L3D1XH8FyDt47A44JOdf/0vhzfr7y3LnRNumRZ/7xbtcINAKNQCPQCDQCjUAj0AgcPAJTZf4lKdJZ8F/I1c9AUsB9mZUy7+y8l0mvdWaYX4mh6Evzufi9NuSlWdZ0CvND8sxqL59L595LpMJzOzjb7pdxWN89S/9PuREufW4H593vlhvKNKX7j3Pv12v82k5uB+f5n5QbZeUyfDz/vIhqFyG3g12A5+fmFaGpe3k8vBfg13bUTxu9zOtnMi0g/ErPORLHS67qYHHiRd+Pxs95eb+W49du1Ed6dO2E1S/x5LZdI3AcEOg2NgKNQCPQCDQCjcBRIjBV5tXlRfnnK6hFL8xzOcp5+d8hno7RSZR+jAAAEABJREFU5LKhOD81N37phrKb28HPXFKGxb9fPPxspCM3ud1Q1H81N9ulT/BgASH9T+eBYk7ZVr88Dp7l7/jLkD/l3TNXdcxlcJzmYbnxtdZctjgvyt4xvvJH4kkTr426qx9/5Nw8y7wwL+7+Xm74j2mcPsHtGoFGoBFoBBqBRuAEBPqhEWgE9h2BWcr8vhfSGTYCjUAj0Ag0Ao1AI9AINAKNwP4jsM7K/P6j1Tk2Ao1AI9AINAKNQCPQCDQCS4RAK/NL1BldlUZg6RE4fbjVcOpw6xPotOFblr7eO6rgLiPdd7jsMAsXOA1DvxQ/HOO/+w/nG+bxxhlD88YxZo2Fm/7Q4WzDacMtB3JlSvcYzjP037FGoJX5Y9393fhGYEEEzhgeFRXkRBqGH14wl/WK/rnBNzVOxOSU4f+eTw1a69Xabs0iCHxmuNRwxvAH4YL/44fiC9fTBt9jWSS3jrtsCBxmfT4+nCN89IjQVl76wuECh1mVLmv5EGhlfvn6pGvUCKwSAq+JsuKXqlapzodT17MMFx5OHz53OIV1KSuGwA3DG/XLbStW9a7uUiHwueG04cPDPw/9d6wRaGV+Nbq/a9kILBcCpwz/PpwyvH04dbjCcPrw4aH/CoFP5eYuw2nDKcO9h3cO/dcIfB6BM3L7J8MZscifNjx56L9GYG8IvCK8dNbhvsPpw28Pn95bVp161RFoZX7Ve7Dr3wgcPgKvHU4ZrjOcOlw0VwrK4ddgWUs8Yzh9OG3wIb3haP+69CVE4JHDGcOtwyGfW8K6dZVWC4Enh5euEl7q3Z3V6rcDq20r8wcGbWe8RAh8VerySyEfIMul3R4ReOZwn+F1e8xjXZP/WhrWC5yA0G6CwBnDz0T5akV+Aks/7gKBzw7s8furyO+iGp1keRBYV2X+CwPxz4ceF/qS0CIOJtdNAmnPm2u71Ufg0mnC1UMfD7XbCwJnDH1Gfpjzd5ahz8jPgeYAvL8heb4m9JbQz4S+KLS87pThRlHkW/lajh762lTDMad/ydUu2jlyXR3XZ+SXua++PJV7SOgdoaeEzh06FEdx3c+CvjeZfTb0lyEDJpfhbPl3j9Afhb4sdBjOT36dMwWxyLrP7UKO9aS+BrtQwo58UgTOlxi/Enpz6K2hl4SuE7pf6E2ht4UMBBM03jFJ3zp+Jm7xhf9snoXlMpxrGIa7h94YEs5iTHGvX4qQ/goJM+n/V678vzXX54bkhf449+cPca6sq1W/v4/nt4W+JvSkkDJMAs/L/QVD8r9NrlU/4VX3eK+ZO32oM/LwMM619+1pJfr2XOH7xbn6hZd/zVW4/rQzMmthbeFtsVXYiv+nSQfbH8/1XSF8cbNcayzr89/K80+Fyi+3R+ROG+4/nDp8wT6fkYfhZdIi/MywQJblcYvzk3SnxxdGsPuH3F8lpB9yWUtn7P9iWvaykN223831M6Hlc/cdnjWcNpwl/IG/hwP6I4MulrxfHHpF6BtDs5zxR5biKbzynkQyTs+a63Fx5M1N09iPhi4aulNoNYw89xw+ED76ouG+WRYe3Bl5+JC9jw8uHwxdKTRLxuK5ayXs1SG89B+53jKEx3I5lo4+/R1pOR3narlePwTDXA7eKXw/S/HzSP+dDAmTq+a63/knywN3FPlnpRSKxHtzbbd/CFil/kaycwyBkCg+obCZhCh1JmfK+R0S7xKhc4Q4A0P8O+eB0MBfhAxF+iLx+86Q8N/JVXqTW26Hr8w/StGrcrVAu3Cu9w09NqSsK+cqHwsECqr6UQwo/PIzKF+eOOr21Fz5+V11vPHIPFOy8MwP5l7YXXNVv8o3j2vpLptWab82XzL3FE6YEmTfk+dfDv1QSLgrpcEkGq8TnL55UHyeENJn4t8i9/qEEcAumcURQ4GJgiJ3k4Szcj4mV7yUy1o57fzJtOgRIfI0l7nu9gkxrvAp7PQBHrxQ/NfEbWnGl8aHwmGBnttj7Sji3x8EyD28st14MG6MwxsmPl4xriyyyWLjLd5r78gPBpt/T0u3wyrBx87R1/CCOZCRYDsAyPgHJsLtQuT2j+R6t9D1QutsSEjz5jr4fV1CPxn6dOhQncL3u0CDhMWEclOK2KwyKFksoKxw6McSyWovlxMcBetX4yPO/8uVxT2XDWdQ/n7uhCGrojzOdTdPiHjop3PP+mViuG3uCTjbIw/L/a1CFMJiaErlafH7+hCnniwcN/AQEk7JpOBUfSguBO0vJFx5lFOCJI8nOFZGg4BVU38YCNdODHUQn5A1wFif5EPBMdknynCp/OOHKE/lH++ldFby+oyS8pFRDf2sli0pyradHSt94frayvYPE5eVN5eB5fEdufnqEOwoe3+T+/eFuGfkn4FEGYcnjPAQaxSlmwLP+sCKpawPJf7zQ5cP4QE7Sn+Qe5abXDbd3+VOPXIZWPiVY/FK8ef/bwJC6sdyr355XFv3t2mZRW8uA7xfmRvjgmJ5xdyzFNutyO3Gz6b9U27gi6dzu+lMCvoTnuPJVZ/hfRafjyW2PjNeWZ3l/6j4fSK0rg5+ZMxfbdNA/E/m4f8PnBkPjuTO5c58XvYLGWshfZ1U9PdCvx6iaKJH555se0CuJslcBovFe+XGgtqc8du5xw+5HFvHGGJeMHeNx9AYELvi+OmZ8axfWTKG3eOh6bhMtKV3ZIKFv7mWgYYcJvfNMfgI79jBMy9rDPlknragsQAiQxgJyBnhTcNgvqXM083Mj7MwoWfAnPwn4/GcHXb8ZD42b89Kd3h+ey/JmDg92Vik4BPtpU98RfzsCuIt/nS14h+GFYubayaOsYg3pcnjwbuDKMjEbnJhOZknZJ1Fp/QqnxAikH8izTXZ57LpMI3ByAoqHgWMcizCN+cf5nEcQhgrnaM8LLYJ2uIo8pQvcVkxbpQYFhwGuA6hLFuE3D/+2sCPop/HgWJh0Js8PRMijl6w1nqmAOrIP8mDvFlwTTgEpeMH/HxYhxBJlBOcNn5XfJwBzWXAGCYyCjzFntXZVuDTE6juFEn5KNu5P0rwgxNmclOH3C6lM1nAnKJuwTevkhaABgHsCIppPIpKCQtC2+CSJ4EiLiUcRrZQ4WeRRJF3nEY4hZBV18LBM4GlPpQFCy55eRa2HSlXX03j4I2q3zRsXZ+N9TumcSZTCxl9PVa0jSeLMXytfxN1w509/x2JYmGdbnVbZImrHyl8Fk36mDXxRUln3Oeylo6F9TlpmUVuLnMdeUZGGSuwEdFkbAzAbRZ/irNMpP7flwrZ5SHPGFSMIROlo3AUeQtE/a49/5m45Dy5SiayDp4MpyRZW0eO/WNaZzFdPJDHLc4cZpy+PiGMGrlsLMLxjjmGXOS3SkS+U7qce2dMuU8qz6jjyKafy713nukO3p9jXIHVn8XPTisZIr5jlNvhlujHxuELRgR6lp/Ynddw4xHP4DtzqXiueNDOd+lJ/FeVtMPCj0760DSCkYSuyPAgjFyif9LN7EwnymB3WTynAPAgPRCmwg6cKNP7XYiBQbjqaA2lrI7LUCYFS+cD5N0JZM10RssZWC8QxGvDmcwpAAQ4ApYVOGXhRxPDoLSKlIdVIisWZZ+SkOATHGWf4Bf3tQnBtDoqtxsKtAWIjqDIbcfI4s8ik6gFA8XxpYlAqFid6dAqjzKboIWcgWNwUG6ccTTpUeBZpUz4zi3Ln7XbkRMLi4UKOKTI+l1/2pExCVPgTMiEK2sbXsE3zuBdPHUymRO+ud108mDJpRzqe4tC2IwHDP5DBL0wllyLtFIu9Q+ehB8rvUWhxRRlnhJO6OMF9WMxtgLnR5GoipgUKSAWae8vz1zVj4XRNhueVo94r6UzBvEinPAhpcBi1tjRNybZOhplUe8YlIXYGEd9RImwY6OP5OXdB7tiJmG7TfJ0FMBuiUkZz9hJIVAdJZHHWgK8g0bZKSQvx3zmHq0SLniCHHt22mwhjh/0M8s8OY0HrpEw7SUTxCED7N6R1xY/CW63DQKUebKX8QJ/VFSyk9zSB+W3atcXpsLmWfOjXXLyndxmWPiLhNmVcJwvt4MdLHOB3T7xp0YEcZq2R4Ahy5yIl8Yx6XSrzkvj9uATsod+RdaQP96/c6SUMYkeQ0cgmyj6dECLSPO/+cv9OL8DvQf8QRRgQv/zZMx6zOI+nlhM6KxGBDJrW6JtOMKbkkSx2/DIPwAapD+XexO8rQ6TP6XQOS1WhgRtOpZciiBL3qbnmTfqYJJwpMZ5eB1zZtCGhYIiOa5Phe3manIhNFgjpcfkFiMEp+dFiMUBY9jycTSIEql9Fjn6T3uQHQkTu4G2SP6HFZe1Tf1Mxs5Q6z9HW7TF1tTDUxErXP3nOJWjVfop3pvO9pWtYhM/QWzQbNdndjdY/iwsKxMKI+WQon+XeNZuBqVcXPndOP7q56iCM/Es9pTXeA8Ufosmk4GJgl8RhRW/W1Tqs/JfxytlCt/ByYKINYJSb2FkzOLX707Dnd+Gp6MALMbGQrw3HAGIX70vQfmXlwWxXTBYUuYsuCzghDkyRYA68saqZoGO7zcyO4b/TDb4ddWbbr5wDEs7yHfzA4XMewN4zC4pOUEZXWWlcxgGTTwSgjE6ksIPsFDzCZlOKTcfWuSTKY7A4h0GNAYu/HOA1ThWWZM568hL006kw9WOvjD6KQOi95PoAPQTu6MMrvRLcY6MMP9BFU7RdnyGtX2sOFd5U6E8fRYP0/jlk1PzQLFnlXd8pSzv0zTT5yTbcIBmhbdtQpmgbMt7bKHYiLiE/5wZvmfq5RiQRYwtRVZlihCFikKLWLDsSiyrEknoGhyUcIpwmjRQ7kziFnClLFvtvyCBtkEdJ9LOPA5WxI5c2Z2hLMsPT7hSsMVBFosUAYqOPpf/GBN9zmqOFywiYGYhJ47rtH5W5QZw1c+OEEuzo00WaMpEjjnhd/V7YjzUK5dj4fAhC4YFOcXLONRHxj6MKfbGG8Fo0i1QpIMh66p7/vrBwsoE7JmMIjzl66yiiVofWWCxvnm3RH+Le9wI/zMQkAvVduMFr7IK4fXyX7Wr8UOuIbs+5gCW1lVu01H2AZkLS4qH8akurmQnOWxe5LcOpC3aisyfdlDt/DXv7E/vwpUcZ53HQ5WrZ7xUsrz81+lKP6E/woD8ZaV3UsL8djDt3GGuJsodRl04msY52+h4CCtbZUBIO5fMymLSKX9nsAhrx2DKz9UK0NkkA5J13osrJizKK0udOEUsvRQyVv/yc2URLsXOzxDqAEqaiVD4ycjEqOMqHuWBZXc/8IMTgVN5W3iwIlBKy8+RHQzjSJHjNF7ykY5S45hKEYv1uJ6VfhmuBjgFXT/XYky9rHbxiHDPCAYmGQIDv+hn59Ycf3F0yUASz86HvqboS8PPdjKycGDJ95Nw8hA2iyiHrMleDJM/y47+rbjj+lEcWZq9qOd8YE0OtnDV76+TyA5D1S+Px8bhV4oCpcFkOm64rW99BJtxmAXXGxLRuw/S53bAG8aW/vNsZ/Cs9tYAABAASURBVMS7Laz0+pvlVlyTCGs/vql+EP84ESXX5GkHtPgfluQdY8oqYkGukQcWdX6Zp2SbRbJt7FVs0zLU2YLZvGsny/hRJzLW2HT0kILCb5WJHMAjDAR2B4t3HOElO1a5bctUd7KZnmXnlTxWN3MmPY/c0Qf81o3oGtruZ6lLNjmBYvxQ8o+0vfuhjG7XAEKZRZlCVIo7BZoizZrkyITjIn7OyEuPlCSTU+VJ8FC+beM7fsEibSvfJO7lKC+hSicPeVH0HdGYCibKlcEsD1u4lAMvpJZQq/LmXaVVpm1fR0G87OecFIViXpqd+lNYWY8dLaC0svwqpyZnRxTsRqg7wctC6WwpxchPIPr9be2HoXPmBtVOyz7MeAStIxIWKrao1JlyrE2UD21071iFvoSFl+Eo247FENAUOtta0lJaKI74w0KNIOHPYuvcvcEl3BGOcTsd97FTJC6y20MgURa8gMe6AH9h6mHxwd9PTVpQenHbeTn+4jj+oX4WVuP62W3YD/4Y1/0g7xfJm8INC8e+YGBMwJFizUIv3AvdwoxhR2LstqDaXYEznnD+Xd/ha/EdUyI07Z4YA87dW0xbCIpPKbFoUKYjOc7YW/AvUv9lj6vd+AcejB5kJTz5kZGMERY5cLGAJ8vsXoiPZ73UZ7G57O2cVT88RBHTHscktAl/4Bs4zEpznP3M4XjBvOa9H7LMfEvG+cEE4wiGZKGji8aZ+Y+fnS5yFd7jRfaq4km38L4a+eP4JNnsqCXZZG5Z1XYdVr3NVwwp5jbzKzmEj/CTsUguw5O8pdfZoXbUBM5eULc4ND9O9a/Dqv9Bl2MxjOgYjuDSSx3V9Z6ccXjQ5W+b/35XwMRqcqGgVsEUT0dlKN9lIXXGzRY84UOgOAfu5VRKU6Vz9XNHLNLOzCMv1hFQrDcUA+fhCH15AJfiazvNoHaGl/JISGE+iqFVo7gEmZdvWWNNHlZaFhjSURhYvKStdliUmEwwu7eZ7QpQZNRHPVmR1F08z8rzU4Y63rN8Ta4w8Dwm5Tt7LU8DgmC2QFG+uqujQeQFUeFWghRY+VNi/RqINrHWY6xlHkiUYP1OMVFnCjJFxDEiizhHXhx/IUgoJRRxk5MdG0cvLKKkQ34zmWLO6gIP+fDXF467sATDsPqkMCdw4CsuskhTJws29TNQCTNhFove03DmnpCjrOMdYUUmR/zCGuEFzfKv+lW563S1ODaeCDPt1W5KAaXLC0F2N0ymwmBtoWRCxc/GNN4tPsXf+osMEB9OeN0OnXcY4M4KUmPRODLG8Qfc/YKONOtElNbiZ/yKpy0w8RTljEGj8HPUiMxl6IAfmUNW2fVYBUz0q51Xc0LVl+ymJBjD2mSMMdKIKw7+M7bJbPKa33Elu9TwIfvtEFJm8Y5xZz42L9VurbnYr7WxqMKVssYQQbbuAr8jT8Jg45dXyOfSLbxjZh7RNpgYM3iFbFdhuoPFrrn7uPMOPMZEHzTm4MdYSW57X4msNb+Z//AK3GBujPrZTzibsz2bR8d5ruo9eaT99BLt1Q4y1TxmN9n8RgcUjzym4yFWevokvU6aQyOdt5+FsZ45H6vjK1+d77yjX6Og5JY/JQoTUKQoqQS6wVnhdXVMQhzkt08NxgojrPgjyr6tH2HyMYCdL6/4tkdYCMW1uKAEOgZkYqAQEHTS6TiWXWnH7dBJlBYdSKF2LtqxDOURFPJknfVs0rFCJTA8y5f1Qzmep0RxIWTVze/jEjYmaHXHQKzwwhDFlVIkD+3lh+DOUsd/mQm2lHJ1RgaDxQqrkWfkOJW+1RcUmeo3YUWUSfjgKS9Clr8PEFkkUjQde5lioU8tHMfxxwo/ZXFcP8qR/jMpUvQrXV1ZSv0EWj3X1ZGommCmdViHZ4q0cVvt9VNc+F7bjJW75UYYzCjj+ileg3FnbLAUetaHxpJxJb6+rmNnlBBjXh+Ii4xX41Zcv3ZTZQpbF9Juyqs2jglPGf9kabWbfCBXKp440q8KFsajMUQJNd6r3t6/MGFql37GbxWmfca/RWH5HdercWWnxjiDVREZR2a5WmjDh7LxtNxUHGO0wuK9cs48SLYw+JEj1QC7dyWT6RjmYW0XbhFsvjC/lh//pmEwzzE4juc/vHKfgOMdKIa28ThkWCi+swCg0yXqWjjyyA8tTMcHHYvxCS7mP3odPtRo+JFJ5qeSz/wPhfZbmT+QSnemjcACCLDW26Wg5FgQLJC0ozYCjUAj0Ag0Ao1AI7BaCLQyv1r91bU9OQJWySx93iEo6+/JU3WMdUKg29IINAKNQCPQCBwbBFqZPzZd3Q1tBPYBgdOG2w33GX7qBLrv4N2Cfch8RbM4dbjCMAsXOA0bH6Qb+q8RaASWGYGuWyOw2gi0Mr/a/de1bwQOG4GHD18wjOkXh88Nh/6yz2E3etvyThmuF5V9jMn/3Z8yOOq1bdIObAQagUagEWgE9opAK/N7RXDB9B29EVgrBE4ZPjCcOvhp1bVq1p4bc8Zwk+H0we9cj1/q3HO2nUEj0Ag0Ao1AIzBFoJX5KSL93Ag0AjtB4N3DKcObh/sMV8m1FdZC7IzBr2XcaTh98HOz+4FL5dzXRqARaAQagUZgJgKtzM+EpT3XDIEvS3v8jvnX5tpu7wi8JllcNxb5iw+nDK2wBoxN9wXDqcNpg995H/qvEWgEGoHDR6BLPI4ItDJ/HHv9+LX50mmy34T1MZ7cttsDAm8bvmC45XDa8Pqh/05E4JTh5lHlfSeiFzgnItNPjUAj0Ag0AgeIwH4p837b20cDfI3N58eryu59qdXXCcuvr2uCwC6bgeeun7SvC90wVO6yuXlbyAc/EOvm2fLMXSD/nhrij3wM5RvyXO48ufExnffmOg3Hm5ePvy/T1Ue98jhcMP98xU585CM9XxS/24Q8F/1Qnrkvzr8/CZW/j47wi9dw9vx7aEj+wn004qvyvH7ujOGDw72H16Zh2u7jK9qLfC0PfgnadF+aOx9We2SuXxmauq+Ox6tC0o/JF/QuEf9rhfSpj7JdN/enhLiz5t99Qj40VX55PFJ3k+HUPZ2R/4rUnvwsHHygblbbxPudxK14L8u97yrksung4yNysPMxvc2AfbqxKPbhqqqDn4I995y8+T8sYRX3Jbn/lhDn424+IldhvjY5q83iFuGxO+XBx2uk85GWC+d5lpMXHOEg7rsT6QdD/HMZvjf/KszH6y6T5wrL7dI6+JNFVXey8lwzaltfQa14vo76/YmnjVfKFR5wKTJX668EHZgj0++W3P8lpFzyYSzL473pyO675qnkqjTXy7P6q6cP+1Tbbhd/c0suc510P5DQN4WU/fZcrxDin8sWh1eqbPHNDVWGX/Aq/ORjTpuXz5aMl8hDf9wr9TE/aqMPcJkb47XFma+rzeLeOjHgYUz6WF1h5Qup8DlsPNTlxqlT9a/vzJj7x/Uwb/mIabVXO4oekLTGzMVzLd1AvDvnWbpctnXmrLE8+67EVqdctrirxMd4rLJ95EzZZKJ3rYqvfUzVBzATfXs3r6DtU20N9dveCj1fgn4iJF90q9xjlufn2q4RwAv3DAy+aHuRXGuAXCz3FBRf68PMlJNLxo+QMUlR3CgtlPpvjL+J3NfZpCd4fAHT13CFS3+DM+PkMnx5/pmkKY2+EmhgXyN+lE95iI8sRglvys/VE87Pp8B9mfbaef6RkIHHX/3OmWdfH1Q/+fgS44Xid6kQZcqEpb15XCN3+nDl4ZSB5fmmaRXBft5cCW6Tqy8jm4CRY02UcJMljMiDRD3B/WeehMO0CJa+CExhwRP6kkKmPJMGgXejpPumEKGnLrk9QnfacP/h1AE/7bYSlBnYWZDC08KFHEVT3O6YQvA9AQ8zGNw3fngvl/TOMOBfPO7rqnDkv19kMfErycxYUFf9Z1FGwdY3Cdp0xpq+04ZLDsMgvncJ1JdiYEz/cmJrB0VJ2HYKvfwobZdLGpOh+eaVub9/aNYROkakH07Yt4eUYT4S9zvyfNvQn4Yoh8IoxBRL7VFOgpbSMVzY/XlHanf+EFlE7sF5iv/NE055v2qu2vhTud4vBDtj6bO5xyvCUPFMvA/EkQt2SMnwqje5bczjoWmh6n+deFb/Sav+/Cmdv58wGFCkyW8yYopBomw6fW38kOXa+5CEMMIYS9M+V655ihzDt+YGvIOfYIp3bpb0wvD+g3L/naFpPvFaWocH8M3Xp4b43qLYgoliic/ivenIJAavwgPm+oIsFkbWy4ccenxSMfRcMNfDxEOdLDAo9PpX/xkrlOyqh3maoUPdxEHXTD0pzxb0jIqPyDO+IF/MP/LV7+RYgmY6c6B2/2JC8cTP5vqokPE1TYf3H52wHw8pQ/l4ic5w9/hR8o0R8wLjx33iN8sYFu/Pu2khnw9Z/O6tScIiSWBeNPcqo4IsOICK16Dit88NAtBY2TEIKU3CdIjJujogSWY6E4Q0FKifTAxprapyu+l0WoUJB/Rm4OjGueofzbM46Mq5VydWVwxM4az6mCANbn6JNtSzdFV3/kgbddYV82ByMUETQDoHVtIot4SZ+Ca0Kl8dpCVoCUPhhBuMMa30GI7ClCKGim+yEkbwUbSEIZOx8oTpH4oBfxjyr2flyF8/CIcjIWhgwJPgUh+CUF5IX4g7j7RZ/bTbCrbiydvPG5bf+xPAco+Z9Qts/GKKRaMXDFmG+cuLIPFxKMJVeJKe4PCIfKQ3eUkHr6cllgVoLptO/R0fYWHgqRz3yjf4DDT+lFjKl7Zb+VuYsNT/TwIpUJR81kftitdaOmMdHpRpwgceeAgfGjMwxye/tkDrpbMT8vdJY6Ix3igtMLVAYulXhvFE2H4k8VbdkcHGtgWMCRCeeNDEYKKdTqrab2zgeW3H15/LDexyGcQvZYPCLT/++0Vk3tckM4q3vN+X+8eF9MlUtuo/8kJ9P5444quvcUs+saqjBA3G4hNzQyEzRnO7xZGz3x1fO3MWgtptrJFpFuwJOsGJC8v/ONNX2WQLpcVignWbn2DYwwt2+oTfMhI8yXP4a7+51djT1in+ZDQrqT7SltfkHz6DV24P3TGsWEjpvw+kdPIS7+AnsjReJzg8pf76WoD6G/PmIRbTwoChxngxB8FG3CmZ1+4Qz2eEWGxzGZStz40/8oVfkQWPeAxH+JaySsch6+0YklFI2HOSCJ+Z26f5JGhpHazoGU9KDT8UoujiJUo5PovXprMghAdlX5tZv+2kW0TbNbewwo/mcbgwnMl/M4Pd3ew4lf6lV+hfSrmE2qJd9CW6Cr8p8bfI8zPCFvN0Lbz57ETUHotNO1bmJTpRvLc4cxV5hg/srsIHJozY9ETz1jgRXsd3eFsZ70og/qG7WpiTl/oChu7ljxJtvttPoWVgWgkRFgQyxdUgNODUwIrNdiyBIy6lF0DCCHfCVWcAH8AULsJb+Dy6WgKsoiihOsPqkoUFIAkaLp1/yvQsX0r0b8fPcy6bjpJpNWoTgxW5AAAQAElEQVQ1Lp76/FJCraqAaFVGgNRAxegUGUIIE90ycS1OTFgGu61B7Yz3oCNZRGw1GyQfjieFR3nqJw0lkmWqmMWEbfVo8SMfqz2LoyTdyI/Q0m7toNyqGz/pCXXW7y9JZG2xnao+BLhw7bL6FEbZhF2iDgQnC0lNpJQD+RjsQ/5MlrATBz6fjJ/6s27oJ33GYkcwJmimoxhrF0EwjkBAULRZ7Ah8dTaoTO6UFswOQ6tofWjwvTwZUBZsZRkI+C5eWxyhbBuUIBaozyyEXpGHqfJPocBD+FK/seIYbCaLRD/BwYAHpRU/a5tnA5kCii8MTn7Hgcay5KNpMKv6s3JdxBl/cHfMBn/iYfxvF0RfwRYfmFRM7Ivkvaxx8YmxTVkwEaqnttrmtZA2RvkVaTdZyTotrQU5fiuFzdgxFl+YBPDKZV8dRZjMIttlbHyYPMkN9TUm+SPlU5YZBcgP/WleMFmSuSY/Y0dcV8/GjDB+UyLvyAdKhHKFa7f6SDcuWxj+M/4ZY8gziyPykjzwTBEWD8mDP7zhym/ZyBiDP4XWokT94ECeku8WWmMMLJQoMo4TaS95Rm4bP9IeNsHW+Mav6q18So0+0X/ax6/oubmh/DNuqT9rp3kCXzG0UHgSZTBe7PLgP/PDGAPhiNIp3PgRnx+dQV34T/ucUgZregreZkUlh8w72jCeb9Sf0m/uFybvVSA6GZ3A/Ks/4GoeMxZhMu4PCjo5ZcECDzqPed9RJ+mqvfjQ/AxnC65xWMU5iCvdwFyML6p/zUMMTdqinbPKlY6M+KsEiq9NdI7Kg0LNeCce2ZNoW5xFCwUdz4gvgiteUTZM+BXRV2BIh6QLMkjiNQZBesotEpGOQg7SKyn06hbv+W7cWfNj7TyEYGUxUzkChCKtEiYXCrHJylYVqx6rCOGqwhRmSiBhaoVte+J3U6zBlsu2zkBiVZHOtg9ljVDTeY5tyNNZKOGURUxra0idZAwDnQlMW77iWZSYDG3d6dRnJiIFm0ChxFGGrdhMVISHlTrLrS1v7Ze3hYC8k3SwCDBgrF6t2Ax6ijrlVxqKuYUJZoSRFaV2UbTlbXD9dTJSl1wGkyKGcBZZudqvDRYLrA9WlfDTFltj8KCkYhzKLyEpzBYUBpLnToigstrUPwarRYbVpTIsVuQJc4y6k/wqjj6y4MADmNn5O0q/rVQTF+suLJVpwqd0W7QRFAaYbSthLHDyshWvn/SXyYCgt4hSHqEtjNXYIkGaVyZAPH2jLAsUwtkAtaikaCXKpsOzFE/tNfjxb/WNSAayq35yXXfyfoAxz9JFCd9Ne/WLiYLgwgMwN14o9vjBzotFKz5wHMU42U05y5ZGu8mQMf+oI6WLDMNbY+UEJsbc0xPJZIl/75F7uxfGJ+XjRXk2Keey745CTb5RqipzfaFfpvxufKovZZPVy5gyMT44CbXNpJnbTeeZv/w3PUc3lA+yRXnlDTcEx/KrK9lGVpmHlA1nO5UW8hRa71yQueJTNMlQMkNb+C0b4QP4k187wd/RL+PGfKb9FBJKmHt949k2Ph6yIGOcUcZBtRvG5KX5rMrQd9oyq/8YAu284CF1tkPqqA35iioPV7qCsYJ/PE+JUYDcNq9WGAzwkrKnfU7uWPw4+mBOYSRDlFr8bF4wP8CLzuGYhfE3j3erzGW66g91HveHezrSdCybd50dJ2sspuklZL7ddLiT0RbH5Db9hi5l0X5Y7TW27UrqzypT/+KTWf0rjr5jmKUX0YnE1Tb6nf7EExZwDIt4R99KI+2YlGuxiAfH/iXDjdexP8wYX+l3xp1FKgWeTKdLmUPpnww69BpHfRkbxnlsuVfZLZ579FAJjaLE256QHYWLMsnCqaOtVgANBAMUA5mgbFU4J21VAgBMJf12ZIVsdS8/ExrBRKklqFiVAaKT5OFKCVYXkwI/irbOw3gUR36EC2HPmkR4Wu3pVPXCuJSXf0hEnYUZMEseB9YFTKXehIc28GdBsIKFi/TyZdlSR2nUxeCh4ItvUJiIWMZNfBR58YUh2Fb52i2+1SELFMWdsNEGcSmxGIGgVl8KLOu6gahtY+Em/naEySjz8tY++FrQWLErV7g26e/t8pmGaTuLooGI0QlkwoH1Uf/AGEbClOGMogWZckzwFAR1MaBY/ig0lG39yg/2cFKuflRfA4cw018mOwPGkRkLA0qS/je5C8OjNYjVjVLJzxEyWFTe8j9uhPftxOE/i0t4LIoBbC1m7VBRvvCkfB6YjMgIfGAsEYAWrxZyJg2Kv75MtJV1eIe82GkDKJ94ljGBksEyT+nA197xIBvwtnx3muci8Rapq3wZScg19aWQUaYpZJQI4VMyN9gqF39KdgbxyjTNvGdKFhmgXJOmYycMGBRKMsRc5bidcox/MtVctBPs5pV50P7w32n9tJ8RqtrPkMOARDFhRTQXmcvISNhaBNqhXQTjRdqr3minadSLwlz1p0A6m67+s+poHmFQoEvo0zGRG4voO6ypDDz0CfnAUd7qxFDmHinLO1vi4R39s9P2HXU8dd1pf8CDjNZOcyM8LBTJInoVRZ9OQPcy39L98NusfjqIdldbdtoedSCDHKuj3zG2yoPRgULNmEhXJB/IVot8Cxr9jR/G5NgYvpDnToj8wVtktTlMWgYquiAy5/GHNcMkRd88u23eizD3thmNAimMQFAZSuwoaDBZm3iQVW6d1bI6pzTxxwxW4gYtQTNOv5t7gI3TTZ8rTL11Zj1TvOuZAmy7hqKHqdVRZ1I4xKcUUiDVn8WX8kzJrfTiTMmCgmVIGtvQVmCU0opHWSHELFYsNE7WVzDUBnVyrXw8U448uzrOw+JNCWDBp5gS6sJ3Q5RqbUDaZLsKdjvNy2pX+61SWTso4SZdkw1lGc+w2rOWW4AYBPiD8DAIDEK8VmXaNoWbxYW6ETz6ruqj/03s/GEDNy/RwYBl3uJBmXYJlGexYLeDEi8PfOuYA/7UXxZZ+lk64UhcQqXqxG9dSX8RiHbcdmsNJtwsCFjDjKsxViYDE4dtbmOLFcURA4s/O1j4Tt+N06zSPQXA+MYz43rDhPxEeEkYJYbS6fiEnU/nWB2bw48EPp7Ei7BiGDHRsjDh2ZNOBgrYAZFHollcuSJ5K3fK7xa86uS4S9WXZc+xCUYdfSl9kcU5Oai+3nWZkt1dMkx5lca4I0PGMk+YvChwZLHyyA3nVymHsIIpmV1l8DO5kycwl8eykTrjfWNCm6t+lFiybIw/bO2AM34Yo9pPHjIkMXhM+Y1iRi46ljPu2ypjP65kJYPNeLxqh/Km/af+5D9+q/5z/JGyY9ebcWdcJ88MV8aCPq5+rStDF2OfPq50cMRLeAr/lr84Fj0Wlsq2wIGhejsaATu/iFLlOAohbzuK+K3yWfYrXiJ/tKvqajzRNfQHfuNPFjEqWpjDAR7GMwXX3CxcPKR/LXbsflm4j/MWflBEhtrZU6cqo/pXW8b9W+HaY7Fvd0oc/vQB48Y7b3iHLmKRj+g3/KZk0WLewoPyKPKMt+Q5DMOGN95hzMBXMKRrIDqKnTQGLGOR7mHx5KQAOcWgpT0bmcz6p9Nm+e+3n5UbJndchQJb5JgGq3qVxxpNcXKe3ATOIlthi14NbBZWFulxWnlSzktgE4KUMlaMMePpaMeGMDwhaXuN9dcAJnxYxTB7KYeO8FS7/CKKVZy8x2W754fpHP1gHao07inw4ljEOILEQmXiNjkTbsKQAYdRqv8MJsxohUl4W1yIhwh6VlOKFoaGCwZx9tjxHnUVrp3C/z97dwFv21fVC3zxbOwWC8Tuxu6nYvczn4LdhYUiIRgYYGB3d3cXGKiASojSgoqChYI+QN7vu/mP85l33bX32fveve/Z55zx/6z5X2vNGHPM0XPMde42RqEUiuelgibm9IlPrcGdEYTD0pilOmvh2AXhHKk+FFMAIHihQAwOZYEfvskgkSkO2xhBCzjG4iHaUBqGR4BujDbF6Qvc8buUw87bJk3wIaOARvqaU/bOaUPBc3xI6QSe8HEqYjwcjMETJziMmg2DuotaGBzBpONwdKIP17JWOsqokkd2YoSBL4I4G0+BHkeLnwykkxrv9HEcc56eyTH7gwYCC7gLcGxWyA8jr06RRGAHnHCigTpOxnh6bmODTgILOkhvOBM0vVbemGMs7Ai9tJFWT94FWOygE8FxHjpBNwpfbfC1LmM5NPrq2V0Qr00Ap25eZKqsyUbdvNrhQd+NA1+dQpc5XUkBOq/Opt9JrTFlL9QrbLv+jtvZaHXHVqyPvWG7rA9+6MCn4bdgXB/12gWjAhW8Ucc/SFwsrV87WGxawVC3z4J/YLOP5gLbqQ3ZJTvmVqdYo1M3WV7+Uh3+efeMX8Z5pi82tmSALphD/Vj4FLEGf6K/Nn6T7zGu9Ek9HUNTslCy6PML/hjtal59FX19iiE5SZ/VnYeCHvgg1nHnD9kYuoEmRUf0oBt8XtHDxkU8hx7zOAEc8PCzYByaHvASwwh6i7/iA18fiKv44zkO/Apfzz6t03m+n6yJw0YZGWHRL7GmDTM7pk28YJy56aY6Ba3Itc0OW4o+7k4A1KO9ZDj/xtaRdzjSB3QFY7Eg+GLDnis5E8gKWO02gBesO1qgGBRaBocgWRwmIL5F2t0RGgbcuG0LA25Of1RLEI0TFHMglI6TU4dosugIaaekTn/BLvwICaFEVH181yvzq15fAR8Y6jFQcCEQdyS4RHwMsjFgfGQ0weD0ZNwcUxFEGSQBtuMeny4wFnZvxS80888V+QzEfDLblI+x5qxkuTEfbJ8mECCbBxkNnygQODjjAaVEKwKt3jyOefCD0QVjqVAc9HEcxZnrY8cOZ3C8b1MYP06IIjC0xphf9sgfkDCg1mL3K2gT8AgiyRScGRg8LRxkYAQQ1kcxBP5gVsE3a/btKFgCAfQTGIJlF0yB9ScHeMQhMngyfYp1l2KjOzklW9YNd0bCp1EUHJyLWPBKBgE9lKLHaWuVwZdxExDqi0eMno2zDbC6sTghwSdHmfSQrNrs0gG8FuxuO/cI91ieyb+/AXECRPbYDA6J3El2yHw5tSRXNrz6sw8CEWugNwI3MGyq/B2HIjGCpmwC28We6n+9ha3kXMg7XG8xTRP98bc/5mPHfKPOfrGT9NC/7Q1f/eHLZvl7JOPoMpz80Rwd9zdHdFvdvAg+fObHJwgi2EN2gg4KUmW8OF0Bmr7qnUCyH2DZMLGB7IoNvTrFxsm8bC3bzAepP7YCLzaP70J/6+c7ZNzZJPSUBGGrBP3sHPrQF2uxYZZ5tynmP9h6PGG3JCn4Lzq9LrAB43qKQJsfwhM4mdeJHBllfyWW2HufksFfwky7vuaFP7vD51gjOUAD/CM/koA2svrOi2CeHjmJ5vesGw35W5+l0SkBu6AcDH5dDFCJMb5QLEGXwCr4cJVN5XcljvCo2o79zj+RJ/ygr+ysT/WsRcxBf3x6WvRw2lf0KIWf8gAAEABJREFUEAs5zcI3SbziBXqqZ8N8fiTeuRF0wBN/h8n3wh1/4cT+0BfrHGMy9pTM8PnkcglHdsqnzuIOCbx1eiGY97UAPRQDmduzU7DK8gvQ2TcJUPEOPMUX+op/nTqzXeRHUoMu8o1wJuN0lv9bwnNVp9PqYY//M6EduOIZaAj6tIOxsWjfHfmjVAYEoQVDlBjBLNofUXL6nJdgi0AgGFhj4VQIZM3jzrmrN6fvAB2LgWtOWX/EsSsa4RBIii0I149jYtgJIzj6YjhDxOnK3sJJvaCWESLkBEaGUiaB0zGWAFgfhfBujPkFkzY35hMM2XhwQDKRHJ5PCOzo7OwIqYBVUG48Wgia/X2BTBcl5ETRUh3GyyqAzXD5tMZpBJzcrReucPNNlnEMv7EKXgieGD/Bkzk5WEJYQYG1+PQFn3xaYy7GDr0FHMbMiw0ZGjKedvvm8k5ZZPQFAeCgId4zMvDkpAk/o89pyzhZE9zg6dtFNDLWUSzjIiCnqORwxIMywRs/GS3zUyibHsrGgFEqsMiN9ZAHQaVgxR+roJ92hbPkGPFNvYAU7uSHIRnnvijPjIzjR/JK9q0bLRS8EqiXngtQGS28YNjIHP2gq+hBDjgG8j8PysHBT8Ep/dEfv+gFHeRgBWFkUdt5LQIHuiN4YP/QjozSV7RS0Iu8kzfrFpCiNzsiIy/IHtePJmyjzetYf73PdMCnMoIpuLIVdNQJHRzZCcUzPnGoNtrw1d87HZJU4EzZD+sAk42j43BfwhNM49gqJxAytfROMMXms2PuZAwOglX4li1kZ+mzfyWL3YOPuf3xPlvEJ5VdX5r/GOronNMwOmX9AkjJBjbQBmVcv5NJelPrt4n2B502ffzLvbMgNKC/MpiSQ/xDqg9y8Qv+FkqgDidyw3c5KebT8I+M4x+ZJx/q9cUn/gj+TsHpAVuDBmwA/tmIkZEl5MmUP6a1WVGsWzKA/bJmtkdAiP+e+Rc2CX3NLX4xr7+5QFcnPuolBm2kbbrLNy7Nf4x11unzGTLC1vCH8CQXaKGeD8MXdsZGsejB76IHv033xU94wQ5JRNBlconuYF5Z9v9mHnyl2/w1/vLnEiKSCtZD/mpmMRZ94a/JW9XbMNYa2Sw0YpfpXfWZ382NNuJLsmxusaSkKttOLtCSbCkSpT5FKjzJDzlCN3In1hDniOM8s5ds+XzeK94PEcxbPGQtyiLGCTlin6kovjMT5Fa7DKoMnTaBAmdN0e26BX+YUX3rzigRIoqvjtAx0gjjXRGQgakwVnb76udFECdbrp/dqEwHQa5+1uI7bScLdudV7844ycwba2dvE1ACwjgxQILNER4mw8cYQmf9hMLmgOJwPPqbl7PBZA7KfArayWoZT4iMUy9Y9a/6qFcEQ2NAyxipV9AOv4xTGHj1vrOlFIIESqtNMGYjJFD1XoUTMUZBgxFe9am7zUDxWH/F3yFYK/rYzatT7Iit3VhGgWNWr8Dbpk2b+WzaaiwjgvaUUnZSn3mhWBTERgc8zxX02AioqyLDjg82T3baVV93/wSjjYEMkjp9/IFxyeR87ovwziAJNmU6rXksjBRaMoBjvWcBq29NbWLxAC3ILfkl43NHDI4Nnc2vvgrnTjbA41QFjOrPe+EEi55siA2yNQl2BQq1To5JUsT6FTQQjOk7Fnohk2ZTOdbv49mnbfVtMj2TSOAY2S+2R7ApqDQXeytLBVeFzeKktAkgSgfZHDYRDG3rCjqgB1gKu0iG9Gd32Tv4eWcH+AP9FLrplNccNkw1N3rTc/XGHXthg512WBP6C5DZfX88LrNajl/wQgZqnWykwME6BdIlb+AYN/qXQ9GAH3cqY0540X16bj6yyo6Otl3GUj/9ZeVt4gp//FTv+2Z/uKgenHWFHecrCp4MaNFK4E4Gx80kv119zSNoZaPEI0441KGpDabYY928x1xPd/g/61RsbvDI5sUaBehFV3qtj3UrNkfoYXPN76pTbJLU3eh1ixfoQsm1zSBZEq/JmFeMBS9xjVO6cX3q2eHSLWvlq9BD22mFDSmZFOeIKdHO/OYyP3qBI54oPNGMP2Wv2EZBvTpFEtMnaMZsLIcI5jdOuGOjIFfmhWMTQOw4vLtfQgrI8jPKlk4x3bs0BZoCTYGmQFOgKdAUuJAUOPZg3hGI769q534hmbDjomS8HOHIOtcub0cQF7q73a3PMmToKvt7oRfci2sKNAX2RYGG0xRoCjQFzh8Fjj2Yd1TscwVHFeePuofBWACPJmhzmBnOP1RHnj5vark5/7zsFTQFmgJNgaZAU+A4KXAkWB17MH8kZGo0mgJNgRUF7jp98nTn6VOuKF8y+duPVfOl/N9dpzeZluiCTtPkj6un/q8p0BRoCjQFmgKHokAH84eibMNtCuyXAscC7T7T/5rG8pnTMyd//Hgs+J0FHrdNyD7S5D55f+npOSY/knMW+PScTYGmQFOgKXCJKNDB/CVidi+1KbB3CjzPdJvpbpN/AWLvoM8twGdN955uNt1jusvkX9LqT73OLSPPO+KNf1OgKXBZKNDB/GXhdK+zKbBfCjx2uuX0fNMdJ/9U4H4hn29oT53+1/To6a6TfxZw6v+aAk2BpkBToClwaArsJZg/NJINvymwJQX88MkHpa9fm8ytrwNR4AEJWN9juv3Uf4Q9J/DNpjtNd5nuM6/u96ZAU6Ap0BRoChyKAh3MH4qyDfcsKODHpPxcd8v1Iah/l8kv1j0igfztpjtPfv3wWme5eOOeNd19etb0QdNdpntncf1pTYjQV1OgKdAUaArcGArsK+h5zqDr11H9wutL5Lkuz/fNy0ekHOryI0GCOL/659fMFL8Me4tDTdhwr4sCftEPjxS/EveqN0HzS3p+3VK9X1T1y454e1PzdMs8+Ilj7Ypf8nue1NX1Innwq8K/kvvTUvxKqJ9g1veReX/flPqXRcDST5vi55v96q9fHfY+Fr9a6xc3M3x10RnvfpXNr0iuKi/F/55n+vTpWdNtpjtPfjXPrzP79d+ilV8Mfu6BDi+a5/ulVLtf7US7VF1xfXLeqo/74/Pulxfx1q/++iPSR6TOr/kV/54r735l1y8XVl2qzuy613SL6R7T3Sa//XCtSKAX+4kGil8eXFqbfn4tVx/Fr+P6lWzzPn/+9+sp6pVvzPMSjFRf1+Xk67sDwRzKt+T5xVLmFxtMVvQZy5+k431TxjrPeO0XKDfhTMbukLF/m2KMX6Z+5TwvXeCgI7j6/kM6sRHq8zj5Ndpq0+7XSKtN+7EW9PfT9YW7kyD2b44v+0nvqp9fKvfrltb4fOnsxxirDZ/wK9UHvej1HTND8c8v0t467/OLPN0/lTfhN+GPwu7+VurZCe9j+ZrUW3Nui5d1v3da+B3jxAxvnHf1uV11kZUnplZf5ePyXDbszfNMntQrd8/7prnTfJQXftw5mBU9fzHPt0pZuvi9cc18dNFD/5fN/+jjV+X+gik3+oKLk3n+Ak/4bn595C+/dbcg9oQUfcby5akrHopLHpr3kj/+ptpSvXi9VmrpUcF8p7zDKberrrdMDX2svnfJ++unjOOr7ZdT/zIpG691E20ctND4jNSZ8KVyv12KRSsffdOzH3/K494vjPn6QCVk75j7S6b41OLBufvhIEFbHvs6AgqQhzsFj09L8U8Z4tUP5PlHUgT435m74Ez9B+f5E1I4HjL6dnnGzy/OXbsCzn/n3UVZ3ygPHNrv5P6mKf6defznoCjpPVP3GimCIYojcNf2Sqmj/J+Z+7ukgF1Flv+pqWPocltdL5f/f2DK01MET7ldkusLpycnYPWjZRaMNo/KA51H+xfKMx7Z2HMGsvjfmzrtdBPN8Bk/U31yCcyNE5Ch+8unBa84cxu298g7ufiQ3DkeckTf9f++1J19Fvyu01OnT5ieHlyu9RLM0INvDwD0somRALl93uf0Euyi8aunDb2+J3fOCc2/IM9oqZ4jQbMvSR2a5baXC1++IpAelwLX18tdnWTOfB6b6ddNO3wU/QU9D08dp6uuym1Th4Z0cR1P6fknph+YdPyl82wDBCZdzusVFxq+X2psdszjHT3eKnV0nf151zxr8/6lef6wFPPkdpTXiwerr04RkHLwgpWXzTv7Nae/H1y0YUEra+SPrV8g8VEZ89MpaEh2HpRnftp7Hg9ykVu6TN7ZDHj7lW6B0nzefw4G+EZm4K7An0xZKzuhTsFPciMQWic7ATe9Z/73KSnvn2IcOf7aPL9Oypzn5NFmmFzAAR3Rjh17k/Tnr+iXNv6Mr6IDc31N16O9bIxtdumOQPIVgim54mclYvN6ckmm2CzRF2v2jm9oCQ6f/cfp/dopL5Ayp2eqDn7RdYldGzb85T/oiiC78PFpKP/Pj+ujvE0wY88E7/iHxz+bOjEIHdPHWp+ZunUXGZDc8oOe6PPx6ciev33uYOZ2cpFrdvtDU0Pu3zp3svQOub9BivkU/LAGm054p2n9NZ9kfc/TWwiBbA0H9CrpbmfDMFoQBUzVBDlBmMIhC8bVKwwRBdKGiK+ZymJAHhcvTKPIdpYCC51kZSnhY/PC8FMyzGJIUjUJHt42D8aZ07tg0byflnqGLreTyw78nfPGEDBEBMOukxAbg2lwTZfVZTy8KtATLMoKCyJ1wEiFs2VYBDjook3RH95gK4ROvQJXTlC9cZyoeoZNcFXv1iqAYsS1U0xZBjyBL2EV+Nr4gKVYD6XU/xCFcBJeQR7Daw6CClfGQ1berl69DDwnzeHAE/1+KQ2yjrlddaE1utwvLTI+f5A7GfBHiDaaD8j7k1PQAe/g4l9goZzkhRNQP+qDwJFicjZKhq8uvCXPv5c3P+CV26W8BNJflJVznmguGGXIBRv0zR/GMm7aGUlBpswnHmTYqRfZpP/kgmMn+zfPKIEcfSU7/573836xQdbzpCzkh1LQSzICPQXuc3qhsXY/HJfuEzkmh2hDj75DZYp69pht0paqvVxsCAfkFAKuMpdwtYbRVi1Nxsmzx5WVrz54K9BmF+hV1c/vxrObHK2MmXWbm221qZj31/dhqYRjbitaoTM7yTbK8pbfcHpnk3HaGsA5y8L/wN+/lGT9sntoYAM4x10gYf1oBWd2jB1kU50q2szgoX9aVjKOHbUp1/cQxbwCF/yDh80buyD4Ideb5hQr8JdsuYxr9aU//DNbDy6aVNt4N55f5UfwXZu52XKySwbVVeH3yYNACo3MST4FvjbS5IgeasODh2SgTQqblcdzcbHVYhF0Y68lx8iSeILdGBchWB3p4ZnOCHbppRjGZuu7MghNcruhl5MmiWRyLBY1Of7yHWK9OX+1K+IPG5P/yItTCbIoFrLJE0+sk6d0P7nETU4pfiM1Yg/rB0tikb2jV2k6uegwm8Qvgi9Z6FnycZQfdpa+gFP2/gTI/GEMXuZtu74LmhgIhkPQJpCHMKMPlt2/42GGiBO2gxKAaaOQgnuZBIpByQVNhET7UnouQKQAABAASURBVMEcWTsCVcyrfgTT8bNdJIPGKTL42hkr7zIDCMfgC2btfODxZelkl5rb6oIHvBHVegSANiwEwDEIwXeUWYYUzt4FNATMJwOECYMBFFR/Wx60o5W5aqfo+ZvSJthEB45c0CKwsV7Hy9akjYMW0Kf7xLhoo1jeCRce6Osdjj47cRxujQwRwbHRYmAJMkXEA/0PUdBCseaCTw4c28EFDgRbG8Nsp0xmZGBtDgX4ZEz7vDAkNkECTGPHdnRCBzRjjM0JtsCSYTaWHP1hBpG73FaX7At+cHhkQyU8bTh9UgKOui7PpgCj6InsCfjQ2qmGOjqDf+rRUN1phfEiL/TqhdMZ7+kQh8zwCUxSfebX9SJg04gunCNnCh56sV/0mu6rq/LAPNBTGVkBCpvJBtKjNF1xsRlXVOzhhT7S1dJjOsv+sqvwZVPXTcNmwun30wE/c1tdxtE3G3CB5apy4X9oQRbMZ15d2GT4gDGfm2MXhEjEsAMyp2RSEMbpkkV2wEb+wwOMb/IJBznL69Fd/LWA0ekY3wNBdCA7/NurpWKkgU9Y+B50t34ZbbSiP+Ma+Qe++BcyfkmOUr2XC/8ENjZQ8AaUXZZQwT/rU7dU+F9+QOBZeqKfgEcCTb3TWHVLha1HH3ajZI+sSRaYmy6N42w4ybogjXwIFN3JrsCdbXIihu42E2D/ZADUuvJ49Bf5Z39sWOBNJnx+wg+iycgP60Z/sQ9dFy+IdQS84i0ZcBtxcM5i4fgrXpCYK/7yIRJNeMMvLeHldMjGTZzKp+O5mMgpw7ZrYTcE6GxKxR/uPhMzNxkZ54Yj2kmGaXPqQ6997jvOSa7YK76TTxhhXPU8MuuqxmuoYOB99gI5QQ/jjEAcvcwx5REsC7pkjQTVAlaEli3nlCiEIwhBLMOzDg3GiXBRRsZg7IcgFJ7CIRCBRSx9MJzi2u2Y1ze7Mr6OzcyJiTYi+uiPRoRV1kw2BFEdh1iDnZ/vFfWBvzsjIMMsmyw7budrk8MAg4cWDLFPEMBzdEUYbC4+Lx1kDRz/ocM98k4wHR9xYu6CTm02GAL/dNnqQgPCZSNBAe0Y4WQuuKC5TYjd+lYAd+zE6XKijCMFMpygC5hlR9AUDdQTcHSzZsbfBsQ4/WxEGGTZFI4LzR2TUlzf4hovYLB54Zgos6NShtc7g+8zDmPhg1eyNV+XgWid2+r0xgaAkUNvdeTBOIpoHoZPfZdpsvmk83SEjgsO6MlIIxsifCGHI83og00pPcZbAYVNqQCFjPscyh+V0jdHuWCSVfo9wjmvz+TKhqVkr9bBprFPClmteraE/AtUOV7F5zVsVPVxZ++cwP1cXjbZ0TTvdNn84hn+1kC8gKO1VN38rk0Cx4kBO1/tdJuuc36CT/yttvndhl1ApW+1oZsCftXV3aabvSNH7AC5ErSTNYEHfAT4TnFt6AX+Mr81/tjuaLyO/uzgnAYCFLoiiWP99NSa2TW+EX34IjaNbWT/2dFDrZvvFcQIFmsOcqTMca92dzogCcYm2MyWjKCHjbB1sRP8vv5Lhc8Ra9CrageH7LJJ6Ff17vyCjR6fTD6cfEj8+RyJDGuTwSXL6MaGbbkRBP4oimCefx35QZfQcc4Pn2DZDPp7B/rDX/OrbBE6nvWC2FCxC34WLvBiK6xlzl99yI8TCMG7eJAcFj18ViOe5ZPEAGIVY5YKuWJbBN5ju3eyxcaN9WTYFxJiYkkvX3xIvsIB7fW9ef4nkUzeZO7zuvlaWuDmEae3MpIMgkDRbs4IQZlMEiXw3bLgi2MXxDrWIEzaKIQsNQIjAmYYv64gvsWv64eRsrAcnmNYTogAU0D1HJ4dKIY55rO7wgCMYezMaw6ZDMbQO9y0wd86GCjz2xlimvGOWGQLfiYD/DEuhuVxddVaGU8VaGWMXZgxMnL6aHN3TOo7KrAF4b4794c4jBjF02+bYh7O0nrwQ+Bsx4cf1g4+ZcCPbeDt2scaBWPo7o9P8ZsRFBj7Yy4bKRsj9T7PsHZjKJdNmyCPwuKNDaPv4Dk2vPBHTNZShtpYm0Z9ZW4c/XFclIMMkAVOhZLaZHDoFAtPrYvi2owKIgVC9MQJjyDVH/eQOf26TBNDafNLppz0kC9lW9rYzOIh2WMUHb/bpOKbjSZDi194Y0NHVvCfTpIV+rvtXMfYj+3YRZ7oArln5GUI0d53r+S51oeWnK5PAyQzzFFt13uH667wOE36o0gc2NgVHvgskIanjbYkiKQD3s4Lfaxx29zZZH4HHcCSAHB8zsahkWCEbxDAs6dw4B/guw38s+izC/0FsJIltX70p2+CXzwQjHpm1/CUr2FLD7V+dsE8u9ANLtbAP94rA9nj3FaXIF9SSpDPx+I1H4nX88IHgLUauMX/2CLJOIEU+eAnJd/IB1tHlsQ4/Jd3yUnxA1+xBfij6LKLLKEH+REHCUbFQfy005Zd6HqohVuLsot8iS2c2pEVG1zr4G/w2gaYbRJziFfEF04E9Z0XcqHvtmsjLzZDPgES77FF/Bqakh94SCb6pNTftYwblLVzGLi28RobBFScjKwngzGCkb3mkBXHZohgQYJSGRQ7FMZFYCdYY3TH8eOzDCAFFrAJ/Me258wL4cMgwRriOz6x26GgdpOC23SbMJRRg5MiKyxTv4mAnCknqr9MjzUQcMIEpmwHAypbxlkIlNWvK8ahG0EsvKpvvduYCDr9kZbvPWVBOXGBUPW94r7FC4GyBsVGAkxr2WLoNXWxRvQSnCm+gWSQ7fQZahsM9Zw73tp0OYalRE4sOAOygtYQYFjx2YZKcKNd/Vj0J2e/mkpHpWiHbo4FOQIGSrZT1kHmT9CILgy1oCLDJsomE4OfPmsgpz4LoPS+67cp1e8yFkf4ilMkvEJvATmdZJSKJvSMTpGBqlu6++abQRWIaAeDUUN3cko/ZUxkUTkTvCBD+p7HYuOJXjZFI/6Cc/ZTYRe0sY02OOwTmrOnMoc2qZ71Mc5po75kk8yq31eR+MATNrZgskFsGJtcdeNdNt038XRQ4DW2SVTQH0fU1ikBIlPPDsyLPxJDj5FW9FWx8R/hkiEbByfDNuZ0WnbX5s/fZH1lOpMrTlPWVR+yK5nkM4I0H92FPnwLvz2nP9s30t/6BbD45dTM+n2eJeDku0adMc7mj6/U9zR/da2EgTsbwDYUDLyzFvyzvqqvu75w8mmOgGrsw/77RMJpuDXwCz4rmsuNdzrCptOPgk2Oya65yW/V6yP+EDOYm3y4o7u/z+OHyU0VGw0bIQEgf1Rwjv2OH+zPKAuerRM9i9boQV/EPehQ9ND3c7JI+p3bmV5sqI0eP1OI4C9bMedvtUvmkg0bQH2sl4yINcRv3smrdps6CT8bS2PGIimA/3O7gS78HbtSc5Jn9lkcyoazO+RIrCrRQH7orsS20yFyD48av/aOaWsb99ggEEVofyDgjwqrOB6uDLXp7EJ8euMPuexSFPVLBYEca1FmQjb2sVtUL9OCSQI9AZlMugDMH1dSXpkgxk4wVzgJ6nwnbdwIs54xW3BJ2WuM79URnkElPDLQYPvMSOAInxpPwDCZEVPnTilkGjGOg1FfhfOxGyYU6gQ7AhjK5ahG0CPgp3zaFQJDAc3lfV6KHzL1tQb3Mujz/od6pwSEt/hR8wjO3ywvsukMDtmx8631oB+Hg8b4SY4FCeuE3jj98YesWD/lIwOCA85Anc0jOaFo+Ek2gsZEFmQFZV8otYLm6skvWdTvshWbLqcrPjdzCof+6Ig+goYyrJy1AA2PGK1NdMJL/AJLP8G773kFgjblNuTmwEubcu94q+95LNaCXvSe7bAG9GK/2ARH/OoUGVRZHfaMk1EnsyNhQD+8+5ZVosQJklMwdduWbfqZi87WfPhFB+kiJ1h8G2HJmLK97Oxop/BZgG2czfs4ZunZZ3aCDzbRvPrIvrN19Hmc22aG/3D6JqDXV5JJQOjkDT4+HWBftEko8BeSQ2RK3bEV67NhZqcU+KEDXZOEoV/6qNdunWwrW6VOgk3Ai3f8jroq4NAjNrFgVNu+7vgHttMl84Er80nu5/zTpvCdAnSfi5ExdVUkhvgGSZfTbDBbTnYljOgXGORGwE7+yr+qp2Nk2mcPxqmTWGKD+CaBHFsEnjY+QPaW7Bir7jwU/KCDaIAfnvlHsoEmeGUdgku65KsLQbM69JBUIEs2ROrOsuCTJI/kQPEXL8iPtZS9HHEUp0l2OHnhT6wXDLRg49BDf8kG7WVH1I2FXLLTEipiL23uEk7mNoc6hW0h/+aky+Z096kv+bEhIO9OCv1jIaO9NH5tgfTaxj02UDiG0o7WH34CzXk5WrA4Cu17ZITXxoGXk5ORIzQMk7axCCIQi+Ni1LVhoOwKA+abQcTiKBgqQbDsA8OtL2W0wYBXjbf7sqEogdBvLIwOwyHrhWECFgG73SrmcxJ2W7JCdlqYIehmsMABlxBZl2cBEQYKHv0RD2fMOOvrj018pydbxYFhLsWxJrtKgZH1uNtkyD7AyXyOj9bxF23A9F05wTGXHafMPPjeD13QyGcZHDzDWPMJpn3fbl3+NoCTsnmSVScrAnnBHceFrwIX62dQwUBT68cTz2iAxgJ0mRPjKI13MmG92tFEcEjRKDJHj89g4iHDbnOhoB04giUGfp2SG3tRi+N4+iv7517GUrBFpwSesgt0gvNzCuKPwQX/NkVoTHd8z1y67d0fBcnS0jO0c3Jis0s3BBoMp7H4RsYZURsyfc9jYefIkCyjkwf0EvySSUkCCQ96Qi9s9vUXAAtErJcD4VAF9TKE/kDYRl8Qq33fxUaCraGPcJVMkPFlm+isEy86zQGaG++c+tEVyRe2S71CD62Vro0OT9tSoePspCy/sXRblpmsWL9/yEC74ISDtBnSF33AI4fkieP0eYT+7Kg2Y5wU2pRy6OqOraCdIEDgif7WL/hyskyn+C66Z03WL7so4BXYWwsbz17a1DgJl0zBQzzy+aYNENtGz/Tfd7FpJZdwMpd5fSvM7pIriTQJJvibG24+AbVOMmL96hXy5W/IyBTZUrep8CNsDd8r9gCbD+cDfMLp8y5+hF3Tl+w4jRW8gyu4Ys/gR0bMzdeDI3bQ5rt9MPQ/D4XtJE/4wb6IUdCHbohB+F2bHwE8mXGiNdLjI6dpYqsF0me9XjiKucQGNh74Isbiw/kHMlYxGlyt1ykDe0Eu1Sn4B5bkJtlgZ5wIikHJ2SiD+itiB7EFmWBfzM0mkjN66WsANsr8EoBiB3RGY33Fvz6dtllie3zCZePtRGBrXaQkkNlnMTlDongGGwHsrCmM76IRVsDGuVucoFqwL5iUOaDU/u1gzkvwxngtBUwCB0TxR6t2xuBSboLH2HE65uco9KGQAnzw1MPPKYC2Gs/gYQwh0IcDkRm3M/NOcDkBDJARMB/4hMI6GSfKzjgJPMBnnMxtPJwFqRjJAREUgkNQfF7Eeft8wFoE9gSAwnkX0MhhzE5TAAAQAElEQVS0GEfJzGWjRAD8AScnT7nM4ziwhNR67aT11QZPQang3/fJYMMT3fXV5xDF5sFcig0XZeJUZOGL/pSGE+JY4Us+fOdJFgi3LDq+2YDZuMhg4l/hjW/+ZgF9ZOHIE0Xxh18cAr6ATdnQFT3xRyBFKcFTj17raIB+JRfr+lzkepkbm3LOwAaZPOKpwgHaYJNdTgK96ZOTDRsiusJY4qFNEufuMyhjya4+bAO+C9rJtE27cWiKX8YLWjgW38/jh7bzWhh69srmHb2c6AnIGXfrFlygF3tC5wX+dAHN0Jg80xkyzb74ZI3ca2efJAT2RRu2ho0SRMKVTeL8BfNwHPE1p6ALvoJEuqmuimCS8yQ/2/AQfHaOfPkDYGvkH/x9DNrQX/iZh2zZ3PAtAjC0sPH0WQD7Sk7hzA5qc2eTwCpbX3ge01021YaYP7F+ePM3dAQNav1sp4SJd5tFa6SHxlq3BJgEGh7in4CUTxLEbsOLa6FJySZfhyf8p4QLXPj3kX/ga+OPybqNoroqsp7WyG+Qi6pfd7cm/+yi4IocWLfPG/hyfpK9ISs2y4I//sCXAuiLduIGPhXNbFjpmOARHDjYIPIz1rgOh2Ort060JyPsKVtMd9hqdWK4ogfbZNMz0sMfidJHdlrsxg9LQkgQkklwJF1uxLrxV1KJLym+SHTQd7EDvbHewgWO4kMxwSg/fIu4lOyxS3RHHGGzu4635ibPkog+gyYTPqURm7LtYpOaHwyfSqJb4Ul24C2JjJaSD2QV7QvfU++HCOYRrAS+snWFCGZTTkU2gbBUmyBN1kCbAJYjIwgCPUKEyNV3vCMU4hin2FlzhOPcBFS2yA6Jgs7H+2TGWEVmcCSiABsjGZsahzGCFf3h518MKAcgmzb2F5xgqn8xoMZzeITMkRCHZgdcbZgKriJgIojV5o9p1Ssc92jgZAUYOOtHf4rkX+gx1k5QsMBoe69CecFS/MsXFLjaDnHnKM2lwJWymAceHI96QTgjwbBrU/4l/7PRQC99CL1NlW/OZOsLTrqtLkbZrlxfhdEme5ROB0GjOm0KQ2XDpo2hNtc6edOHPAkiyYr3y1YYJKdOsqroNxbZL/Qg7/6uQJtPbDhD9CebZF+Aqp9/pUafKmSk9A+PZc8YU30Veki/9Md/Bln9eS9Op4qe6FV2Cj04FzbDGgW/7In1K5wn58HuysqrG4sTKA7L2H0Vmzj2wjzsjYBA8Iy/nJnP9YovNr3wEkBpH3HgzGSTrWms3/QMLnqYW5EtrE9l2GG0gR8YbLKgXT8FfTndwqPkSJtCFqvN+GMtTpYlxuCM/nRRMCpQdVIhWIY7PUL7spv0UbLEGm0E0AMMxTjBsXGHLPSejzQnvCQD6Lk5+SsnKYU/O8MXKPRenyoSNk586I31VP2mO7tto2xe8/M5NRd4Ajx2q+BJPlVf/QWsFfhJgo1tdKDaNuFwbG1oL5lofdbjRJvvk1ytDHHRg17ro69iU2zN4hDyM7ZpB0t8dqPWTN7pQsm102D8lQCS0BBj1lokl9lGGfCqKzytR5K11sOmsW/Vvu4uThW/WLtYVtIBbPOby/zoZbz4ofDUX7zGXon3JB7FgdVX/1PLIYL5UyfdoQMG+GzGbpBi7zC0u15wCvjMwNEmpyR4v+DL7eU1BZoCO1CguzYFmgJNgUtDgWMP5mVRHCPbPV4UptjlyQjJpF2UNZ3FOuyUZaccG8u4nAUOPWdToCnQFGgKNAWaAueeAud7AccezPtURtB2vql8JfaOnRTHL1e29NsuFEA/R69oucu47tsUaAo0BZoCTYGmQFPgwlDg2IP5C0PoXkhToCjQ96ZAU6Ap0BRoCjQFmgL7okAH8/uiZMNpCjQFmgJNgabA/inQEJsCTYGmwEYKdDC/kTzd2BRoCjQFmgJNgaZAU6Ap0BQ4XgpcGcwfL56NWVOgKdAUaAo0BZoCTYGmQFOgKTCjQAfzM4L0a1OgKbA9BbpnU6Ap0BRoCjQFmgJnS4EO5s+W/j17U6Ap0BRoCjQFLgsFep1NgabAASjQwfwBiNogmwJNgaZAU6Ap0BRoCjQFmgI3ggIXN5i/EdTrOZoCTYGmQFOgKdAUaAo0BZoCZ0iBDubPkPg9dVOgKXA8FGhMmgJNgaZAU6ApcB4p0MH8eeRa49wUaAo0BZoCTYGmwFlSoOduChwNBTqYPxpWNCJNgaZAU6Ap0BRoCjQFmgJNgd0o0MH8bvQ6m949a1OgKdAUaAo0BZoCTYGmQFNggQIdzC8QpauaAk2BpsB5pkDj3hRoCjQFmgKXhwIdzF8eXvdKmwJNgaZAU6Ap0BRoCswp0O/nnAIdzJ9zBjb6TYGmQFOgKdAUaAo0BZoCl5cCHcxfXt6fzcp71qZAU6Ap0BRoCjQFmgJNgb1RoIP5vZGyATUFmgJNgabAvinQ8JoCTYGmQFNgMwU6mN9Mn25tCjQFmgJNgaZAU6Ap0BQ4HxS4lFh2MH8p2d6Lbgo0BZoCTYGmQFOgKdAUuAgUEMz/SRbSZZqaBk2D3WSg6dX0ahloGWgZaBloGWgZOFsZuJVg/k0TzHeZpqZB06BloGWgZaBl4GAy0L62/WzLQMvAAWTgMYL5wO2rKdAUaAo0BZoCTYGmQFOgKdAUOBIKbI1GB/Nbk6o7NgWaAk2BpkBToCnQFGgKNAWOiwIdzB8XPxqbpsDZUKBnbQo0BZoCTYGmQFPgXFKgg/lzybatkH7O9HqflHdLeY6Uer9tnr3ndimul8wq/0/KLVP6agrcKAq8aCb65JTPSnnrlP+dQg6fK/el63lT+TEpr5FyDBd78UFB5B1Tjt1ewO+dgucHpqyjb5r62icFGlZToClwPBRYCubfJej9QsrHpTxPyvx6k1T8RMrnpdw8pfp/bJ6fO2V+zfvP27d5f8F0+vyUn0+B271yf4WUvtZTgDP+yDQLIDwr43uaLsX1Mlnlx6e8SsrNUi7a9fxZ0Gek0Avlq/P84imvlvJTKeqqfGfeXzjlFin3TlF/l9zpcW6r65Xz/09LQbfcrrrYhNul9mdSjP/u3F8nxSUgvUce3iNFgJXbztcLZIQAGGzlK/NuPblNbIm6sXxxGuD8dbmr9z6u51VT/6kpL5Vyoy669n8z2Xum/FXKv6SgCTlcF2ziI5v6Bul7DHIKTz7gvYOP9eR2tBdZk7iAL7yPFtFGrCnQFGgKHIICS8H8y2cijodD5/TzesX1uXl7/5Q3TGHkBdX6f3reXzZlflV/TorRnbef8j4JPr4pnV46RRDxobn/UQoHzfHnceP1UWn99hSZstwu7fVfWfmHpXxSyn+nnNVlYyZAg8e1yMNZ4X2s8wrG3zbI0dcPzl3wqu4V8/xmKYJb9Yo+T0udDd4/5U4ebp37u6fUdeebHp58031+u3sq9P/M3MH8ttxloG+VO3tgTqcg1xqQ3jVw3iLlU1LAl6m+U57JjYD8RfJcc2v/2ry/b8rfp7ANNm1On/K6uoz9nzwJqHO7IZdNjTX8bmb7lZSHpEhGCO6fmufzcJETgbwNxjb24jZZ1KNT0D+3vpoCTYGmQFPgRlFgKZjn+H47CPxjiuPh3E6uV8+TjN/35V4GvvoLDt4q9eNV/b8/ldU/jztdHLVsyz0zSoDxlNx/LIVz/I/cOQ+BS61FhguOsnPaBDcvl35vnOI9t0lg8Pp54IDeKHcbhtxWl77KK+XNP1Fm0zK2m8emRZbQeJsUc6X76jLHiI8NB3w4eB3cXzcPxsJBAJTXk8tawRC4vF5q9TNevSDJ+2ulHpzcJqch3tUrL6FyocDbxgvuY6CFPsZVsd4XynhBk3k9o5F2dEnTyVX4aBMUmsN61L9YesnYanvNPMNXu+AMfWRTtdk8pvnksh7r93kM+ugDD+sXMHoveDVItrhoANfK5Fb7/I6f+AaWuzXqY8NoHTaxxd85Pa2r2ownS8Yq8DMenclOtY/zzXGzNv0UvAFn22Ked03nH0oRSP1n7l+TQm7Q8Fl5FpSpVwSSZBV/ZIzp0mPTx7rpjaCcnn5X6p6eMr+cwr1lKu+Y8pgUMP8wd+O85/G6LuvxuYT1wAt8Jwh4ZD2AszfWoU0hb+TpYWlkDx43TdO4Huv/3rQtrSfVk/F4hv5K8YC80gV1StUbQ6fJ7/PlBW7a8T6vk3FkEEz6AgaeO+nQhw7op9AxY8kTORv1cmzXhy1VV4UcqpOkMJ8+5Lba3cEvOdRXnfXCXX9lXJf2KvAkJ/CGV83nXvNVG12lk/QIPeg92oA1n2/E0XjyX7ZWG3vkbs5xfNVZB7wV4/Xp0hRoCjQFLjUFGOwlAgiaH5yG26dw/rlNsqgfkQdOdu64n5R6/T8697G/o+al/um21QWWT0PA/uc1I7409Z+dIqDLbRLUCWg4LFlCQTxn/15pfPOU50+R0fvw3D8gReZOFpCDzuv0Cfnft6bI6PsG02cLYzvnbE6fFRn/henrW9ca/2V5lzksfF4772Bw5AJSNLpD6owVBAmQ8npycerfmDdrQG94fEveZUxlUmUfzS/LhyeOl/EJPHC/In0519yuuATJNkQytZ41+o7X5wng2hz9RirNZyPxNnn2OZVsLjpoRxcBV5omDv0T82BeaxJ0ceICCNnVL0+bDDAZMIdsLpqAKzDj9J3woE+6nlwCMScx1o9H1vbNaa31wxVsfwtAfq0FHO3mcxKEDoKcDLvqEnB8SGrBgbtxPn8gF74RFkg6rteGzj4bwZMMmQQd6tBEu7nwv9q/IJ1+JIW8gCVrXacQ3vWX2a7+eF9zOWlC3/nmJuDWXgIrNKB/1cmm+hl5wcMKiPJ6cj0zT9oFmNrR4/+lDj3RG20Fyam64hKk+pxH0PyEK1r29wIn6xl13XrgvCTTZtZW6/Fuc2VDQt7IHplfWo++igQEnuiLp3SSfOKherJP1+mVwNMYMuu0j5zhK3kgs9rNLwmC/jZV9JTuo919Mhgdc5sE0WTciSY9dx9ldmynk9+QQexZbqvLpufn8gRPOH5RnuFkA5HHE/jm1f45qbQupzhfkmfrtVbyXGNSfXLRVXOyrXSMrfCZozHgmY98k1d6gY7WZnOpLzoA9nb5n/ms0dhxPvL202mnF3RSoG4+dKWPaVqtg21x2oKneIFP6EVflnA3rktTYGsKdMemwHmnAMe5tAZZrF9Mg8wHx5XHVSDDUPvu1icb6qro73tV2ZNt+jP0gkNjzDMWcxRcATIH/5epMEduW18c/A+mt4D0AbkLMH8gd/X3y52DgYPA2ZwcXapXmTpB9w/nRXAmEJWNRAvOiuOWBeUcjeec/JGY4FRwlGFrL4ETpwYnYznERy70Nr9NkEBSn79LHzj8aO7GyYYKImS/BFcCDfX6cqpKum680Nb67pte1sKhmvN38v6IFJcASgZXwKtd1sznA9ps+AQP5pWplQEVeGuzCSMjNjGO6f8glZy6TLEx5hSIGPeraZtf1o/GeGRNTols8vb9uwAAEABJREFUxPDTfH5tzvoFHDZq7xcATn/giM+CC4HPEj/I0e+lv35gyUILEgRcqZ7wyKbGvODJAArSBDQCDTLgbqzgxOkB+bGxMl7BJ7QVhAh8/iGVtRabGWtJ1YSvPhMBy6ZAdtPGRNs2xaclstRoi+bGyKbacHmnZwIe+kXmwNff+m186J9+NudoAGd0B2de9EMjtBcsz9s3vdvgWT885uUdhoHoQW7QyHyaxvXgJ/uC1+DYOAmAfc5ic6YOfx6fgT79I9fr1pMuqyy6jbjP9gSQ+EDvyc7bp4Nv98mvO3n3TObSNJmXXN4tL+pzmwSxNlZk6m9SAR8bAvYrryeXbLVA1trYE/P+elrV5za5j+3kjZ7YaDnl0Uex8f3zPJR+skGy/PSHnQFf0As/NoLs01H6Z73aMnyS6DDG86Zig/KgdKj5bOglN+6fOn874WTkq/JMptEGD30a+fupwwsbCzy0wTGfZzJK39CA7fml9KXTbE8eJzYH3nj0t6nw91L60hfzk1tw0tRXU6Ap0BS4nBRYF8yjxkPzPxlxGUMOTMDwr6kTCOd21eW7UE6r+nOGvlNd6s/oM/gCCkHZWH5zBlkAyMHPqq/5VSAiAIYDIBzEv+VBYJzbJNOn/XF5MffDc1cnmyrbL5jlWMbxMn+cKCec7uuuyTo4HkGiAJHjB38+wIZDEG0OYwQGAngZUW0CFLxT8EigAYbgDt4CUu+bCmcqIBFAgYlXMrQCrxonQyrw064fmZBt1C7wf5SHFHjCEY3yOgnsi0bobS02Q6fRx1jFfHgg8AQLbBsCOHDs5gXL+uGDPzZs+IUGsrl4pR28sYBXsNWjl89NyHi9o6nPOWxqBCWCIhlAQYhP0Ire5kETmVibI+O12aAZL/ABvwJg+As0BTD6mgdPPRsHL5tXMqLutAI3+ua0hiyRQ8EhvP4sg22uZdzpl4BLsZEQMAngbDRsWjz/afpbA17C04nPEh7mSNedLvpl0wuPeRHoFTDrcaola1zrsWHyrI+A1kYFvuDgpT/EJR94Yz0CTd960xd6YD1oLLgHYywywT55ExCTfW02NmRqlG9rJn9gCDT1sybfwxuHd2Tcxk/bacWGw4mhAJ5NpSPogG/GkgEbA4mGaje/ky8BvD4KutAz+sKOkR8bthr/a+lEr3ObyCR9J8uCZnj/exrIL1tU8p+qtZf5/jit8/mW5CTdJvRFr3E+OArQ0YC+/nU6Fsw8Tn+R/6mHE7hk2Bh6o41+p8sEFzS3Ju9dmgJNgabApaXAUrBTxOAofzwvsh+yL4IAmSbOMdVXXYJO2T99lerPEc47y2I6npVl46DGMhpnARGDLiPoPodzLe+Cdp+HcI6ciDVycCMszqTe69n8CkfGkVS74JIz30TL6osWAhFBou/+BeU2B+hRfZbucECLavOuGOf4WSAgUJOhRNPqt+kuGBHACZZkRx3lC2o53hpnjnp2944Gim+CfzaVAlUbNp/aCLBTddVV465q2LLC+Pn6ayhcZHLJJn4KkMifwNC46ld3x/cykoI9/WX7BYjVPo7xrJhDwWOBbvV1967e87wYW0Xb+GyMrL7NARraNNkU6LdLMVYAJwtqbTKu5NFpAHmzIVJ8EiFwkskEn74q75wXgZ1NtOytTbisrmBZcJ/m1YX+gk5zocWqcsv/kQs6POp5PY+ZZuDwxd9V1HpklekbftI9a6kiQ6tORhpu1uOURDs5liWWhJAdlrkH0xxVrMO4CnirHm+emBf8ym11oad6Y1YV+d/Y7nlsS/PaCx7WjaZjJzC8g6Pcc5omwTo5lfywObRGfarUGO/gGafAlX1RX0W9E0gnGmAq/ibJRsDY6rfubi6l2j2DWe/zuzaBu5Mqc1mLTaLA3AZcfzDGufHaZp1ukBu6LFFk3TZA9KVsnQSKOcDp0hRoCjQFLi0FGPxNi5d5ki2SLZOZdCy/qf8vp5Ex1t83n76xTNVVl08WHGX7pGBeOP0aIHMkUOWsZdmqfrzLHo/vHCUnMNaNz7JuMniy4zYcnmXjxj7rngXAAqQRRxkmx88CKE7pNHzQx9G+AFqG1Hezvn1eN+emetlux/wCNWsRuMj2bhpTbeYUkMtKCoC8C8i3oYWgEf2s2ec/Puvx+ZXAquDfqLvATQAoKCFTiuDeJg0/5ngIAGRxBfT6CvJkz+f95u82sQJKf5MxtglW8NSmbqw/7Vn21Ccwv5WONnRwJut5va7LhgAfBGgjIMET2SWvpffWb3Pp7wSMEdgKYmWlbRRHnTPWhklwVZ9AjPA3Pcv6kpG5rnuXud001jibDdn1eb/CmT0R1NEBJxE+lbFeASCeCWqdRI3rAcua4Ma2eVfAxE86DqY6RaaYLbTh9X49BQzrqZMssPAFLp6tF+7+/saa8EnxNxbbyGqNJ+vgVbFeiQQbd/AU9PU5GD2qfvu6g+nUxN89mUsxn42JtqV5JJFsUNHf53KSPmyUJM93ZAAZZHN8+6+fzUCq+2oKNAVQoMvlpEA59XWrF8A42pbNG484N/V3tHtaf4ZcAOGbad/pjoWBLvickoBHttnRO6etzdE4ByHL7vtPht/xswy74LY+Y9DXMbXAiTPwzqlzmmBzBALYMTOrz7oiCyubLRgEUz9/jGU+mScBhCw1fAT47r7N1q6vQEjmFA4cq+BJxo/j1r5rwT/ZU2sRuPoeVlZzGzjmF7g5CrfB4fj9gR7anjZekCOgF/gIYo3xB3mbNlEFE43MjTYCxqq/1rsjePT0CYT5beZ8dmIDCM85XH0VtNcmazsGc+qWigBPICFjXQGozzl8WkFHBCFL49bV4Z3sLN6hI53BA/1t0gQ8/lDb+7ZF1tMf1PqjQhl3QY+x6IImdITemc/nC/74+3vSQcaXrqOdTbgAikzSnTSvLnz++jzpY7Nen2OBY3MK5zQvXmD7jnzU83p+4OKIZ1daD/20MRNI++6eLdDKFoBBlmyCzO+Pu61H8Cdghiv88IvNGdcDhsDY5tcGAC/UoR9e0gnBJxmiI+jn7z1sDvS7nkL22AsbSScdNtI2x9YArqSBEyanEtrV0WufKgn6vW8qxrPDvruv8T5plNm2WSdXtV5yZzNPHjfBPK3NnPr4vM1dsSlUzG0jhZb01KZk3XzsGHlEC7yQMMAn/eFMX9gQfycjew+mubo0BZoCTYFLSwEG8rTF++EZAazsJwe/bX+fsXBap/U/rd0RqyCV8eaMOWX/coRvpDldpwEMvKCOAxTM+z604DpuNwYcn1T4lpij81mBesGAtuq/6c6J+MMr8zoqNp7D8Ydd9e07fDgk33OaZ8RHkCGg4vishXO1NoHHpnnXtcHBvynuX7uBi0yfzc26/mO9DY0gxR8T2pAoglIBi2Bu7Dt/fso0Tf6wz+mCeZ0ucMD4MO87f9dfsOmPhn3eAP95n13eBQuCHoGLkxzvaOxbYJu1OSxyTDbRCS54gVfzfvN3PPUHyXD3uYqxaCXYBGtprjmM8V1QaIPqDwPBElT5Q0B9BKGy9Z5PKz+ZDsYrNr7kUcAuSCWL6tHFv9Jkw0VvbMRkfW086Yy1wYds0xfBs1MjYwP+5BJQCwQFWr5d1u7TLp9F2BiedLyOB/QFV6n1+HzPOzukeC79gQ/cfSIkqEfDWo9gH34y9T4Jm9sj7/5mwKcnNtXgCqz960n+6BRt2Aefh8DBN+xswHUsbzUUfjY3/rUY9oj9EdyTIx3MwcbBTTu8bFJs8LaxwTZrcC34xrMz1mDTIHlR/LPpQzc4mftaC/vrj1PxD73YFnaSbsqwo69NHRm0zk3zObVg25ye+fwMD8gXHbdh826jyr7uqnfXur4e1xRoCjQFjpYCS8E8pyFjVJ+LOCYVeHGGDLCAjeOU0RQk+FcMGNnqL9DR379Woj+H6V9h4EyuJWhlrAXnnIAgR/FJgmAFYc0r8yNL7yjcN5WOkTkX7TI7sqna4cnBCERlisASoAmqBHn6cxb+9Qr9vFuPDGG1CyL8c3DgGS8ghx889ZfB9emOdvj4jAKtBIzowbkZp/gsRjBpXBVOVubKv7yjP+ctI+kP+9BSHadszcZ6duoAnlMA3zv7HQDjBOjobly9Cz69yzrKdAngrVWdtcpag+UTKd81C+DgZrzPIgQY3smFT0z0FdSjCbpbv/UKoOCq+GYWvpy5sQIymXNjbXbUVfF5iADDd73Gwk3Ar5/ssDpt4HHq6A5vn5eA5xMQQQ85BdMfZftjQps3fY2xhuI/2uK/INfJhCwtuTZWX++CY++CJAGL7Ki5bBps0OCk3d9i6F/jnWbJtttYaAdP0I42cEEH+IL1sengtAkPZZIFNILtVG+88Nh4RZBtTviQV/xVr5BTAZJ54UEuBPT6mkA9nSW3TpUE9Oq0jUXgbKx+4JJxOqcv/uKdQBStxnHbPtu0g6tYD/4VjoWfNoVNoI/mRbt168EnQSYc53jI+soW13rIAzkT4Nr0mId+2TDXmgTe/raArIJH1py4kX9zCFzpsG/2vVc7ORRYGyNg98+WmtfpAZnQTraN0Q5n7XDwuU3povH4YxNC37zTExl2tta78f5ZzhpPLq1LUMxGgKmwdYWTcVXAswanMGyDv/Gh7+N82vkC+CrmoxtwreQGWvAnN5+mCT1tkmo+SQDywubVvO7mE8hLOBQ9wCfTpS/+8JveomH1t/6CDU6XpkBToClwKSiwFMxfioX3IiebIRlqga0MpqwsB+q7VAFOk+hsKOCzKYGif6XFZ11ng0XP2hRoCjQFmgJNgTOkQE+9PQU6mN+eVhetp8yvTzxk/3wiI0ssA+6PaWXhL9p6z8t6ZBmdZPhj88pInxfcG8+mQFOgKdAUaAo0BW4wBTqYv8EEP7LpHJn7F4uq+CffHM8fGZqHRueo4Pskw2c5Ph87KsQamaZAU6Ap0BRoCjQFjo8CHcwfH08ao6ZAU6Ap0BQ4Zgo0bk2BpkBT4Igo0MH8ETGjUWkKNAWaAk2BpkBToCnQFLhYFDj0ajqYPzSFG35ToCnQFGgKNAWaAk2BpkBT4EAU6GD+QIRtsE2Bs6FAz9oUaAo0BZoCTYGmwGWiQAfzl4nbvdamQFOgKdAUaAqMFOjnpkBT4NxToIP5c8/CnRfwchnhR6380mUeT72eMz38IJMfu/rkPPtBow/N3a865rb3i0z6oSU/SGPuvU/QAPdKAT8Y5kfcroVX+EwWn3sBI/D8MBg5eI6F9kNUweNDAvgNU8hhblddL5ia907xA0q5rb3g79dp/SjSjcJ/LTIHaPBjVH5V+DW3gG39fhALbZ/rlP5+zO190+fWKdd7+dExP4rlh69GePDBF/w5DZ/rxeF6xqMxmr1ugNws5Txf6IzefkMD/c/zWi4T7uzgm2bB5NCPuOXxKC/yxV+IVS6lfGHUEmcwzS96+kl3vxCqMNzql/pvU9d9joMCtwwafjnxJXLf5nqFdML7/8j9L1NsAj4md8HMIRwMmXyLwPwl8GoAABAASURBVH+fFAFRbn0dMQVuG9wERtdiQN8yYz8y5XlT5hfjfLtU3kg5EMyT7dtk3nWyLdgUlJwWxML/owPnvVIuohzfPOu6Q4pAM7eNF9lAB/RAl02dXySNkgWvlvv1XHzVFwcAOH+R+7+l1AUfG7Lbp+I0fNLlzC7BPJq9UTBgF3M7txc6ozd7cRH14dwy5hTEyZ0AmV1cstOnDL9hzSVfkgaXUr4wak5tzuo7U4mBgj5G+JPyLoP2fbn3dbkocIssVzbyN3L//ZQ/T2GQvfuJ9bz21RTYOwWeNk2TgOvTA9kPaeU2kbvfzMPLphzismF9twD+9pT6vQXz3yvvdCC3ra+nped7pMgMF/55vZSX30747Kz83VOemnIjrhfIJO+U8tspv5Xy5JS64CNb/56p2AafV0+/30txYrNuk5fmvV9+awLNvj+QyaON7c/k2YlDbqvrJfP/70iROd0Xbq8RePdNeYOUfcEMqL7OIQWeEZy/PoVdHDfEqbrhFxn/wcz60ilncdnM+GHNL8jkNtq5Hc+1FMw74nzRoHinFAaQ4XtUnj81hTET4L92nl8qpRRdFqTqUj3Vu8zbm6ViJL6syCunTsYXPEc4sjHPnzrPxshElPO0y5JduVXa4au8fJ5fJQUsz2CBKaMLBnhpXl3V/83zBrajfVmlvK4uDIKHtjdOjR3eC+cu41T9wHBMa640TepfKw+y27J4+mKuecFRXiftcM/tikudrLaABP0Uxlmmz3p0RgvwzeMdPnAD1/q8q4eXuaseDurHAibc9YHrvM/Yro/PaGq8T2neLi8CejTCB+M5N5u+NE3Wox9avH4qwLB2dM3r6iIPhSccOKBVw03/G9tfL3Xec1u8tOljHqVgoQUnpM4c8JkDsNbCgxwUjvgGZr2DRb58kgQGfuAZfhhnDu14p30s5iCL+ihks9rRkWyDow5cDrNoqR1c89Ib42t9+ivWVW3aayycyZA6639xnVOsiW7WO5zJHp55Ju/WZk5rI2dgCoZKZ+AI14BbvMxNNuhfja+O5kdbeCnz9cABPjWX9RkLJrycJKGpe60DnvTDWHiiKdju1mN8FXbDWsFQh9fgFA9k483jxEkf64CjZ3PgJb1Hc/3AUMi9+cyrH7lUXwX+YNEnz+qtky6Sifl6tSv4AKZS87GFdIpdxtuazzua66vO+LGQJW2KebWhGdsNjnq6bK3alKX51Ss1H9zBULdUCl80NQ96wwU9ihbucIaDPmCvg0V+8G3ejvfGgqEUDLL+tumMj+Zkl9itVK0uNMAXbfBQSe7g414w8YsuqAebHpBv6zJGIRvFA2tUV8V4OqleH7Q1pzFlh6yNjqjTh51FPzDImP7WgX9goTsf4Jmsw808bJ/xno0Fwzu61BzqFWvCdzpNl/ShI+iiDcxxvZ6NU/Thr9AIfDJa8qONr6crYJITeBi3VNDeXPoq7J9+cECf4oW1Wau2KviJDsYpz173NFkTXSkfqb++6Frr8F66i59Vry9eoI11gI/n5AxO1msu9Cx91598F+54xmawV+jiDlats+CZS6n+Bdu6wdSmWAcczUuOnyuV5MEz25XXyTzgFw7GgKMfPhX90LPmIT/4Zfymog/8ySFc1/VdR591/dfVozUaWS85omvkhA7hC9nDF2uC2zo46o1D/1pzybg2xXrwzlwK2GAaZz7j4KAejdEMPHDItrv+YFUBs8aCCX7xk/6zO3TZeLyxvhprXvDNa+wS/Op71d3gsZKgyMA7lnz82JDnR6b8bsrHp3xpiiMz/fM4UehvzgPDoE4232bAxsDnOp+fNoKU24RZdjffmhdHiL6JJfyy/5+TOtmHL8zdpoGwgufY9WtSh6gMtePTD8g7wsHHScLH5d28vu0GR79UTZT27nkAT6ZMmzGMDNiOj2TftHl+1/Sl+LJz8MrrhBngwtc7ZsH/q/Py4SlvlaIOXXxX/kF5/6oU3xPndsXFkNgYKQyC4lMD2b9iLEUEm4FCL8f6+AJHtERTzs03Yl8U6Oqtz3ter7gIjPXb1X5EWqwRDnlcXdVuDjy9d2oFQLlNjCJDwij41hEttX1dGo0jyPC4c96/IgW/rR2v4EQB8PD904anlWl1PF9rtX68rHY0loHFmwy76nq/1KA5+J+W5y9LYWzQ+kvyrN5ayIy5U7W6yIp68+iD5kUva5Hd4lB1Rh8ypo93hoN825GTsY9N5X1SKGpuV1yUEB5gWws+UmCdGESyKiNIprR/eRrgn9uExz+UB7KBluRSe40nj2TMZ0/WoN16jJeFNC/YeG391szA4xf+4Zc67TKTnukJGn5j5v2oFHDIsoyyAg/6iq9ze5HuK0fCMMHd3OQAfSpYxvsPS0f4fkbud0spW5DHyVxkkt5rh4v1kgtyRFY8M6SMOLlxlGpO9fSe7TC3Z3IAbhV43zUv1pnbRLaslWPwjj73yAPbhe9oZc3kj1xwkoyqcexCuk54Rw7IM1rSGTihr3YFburRECx15M/pJj2DL1qgbeGGv+hH7rSzoWSSHn5vAJAFtORg9GUzPjH14H5t7miS2+riEEpO2Abt5I9DgRM4eAIXazQIL8xhfmO+O5XVZpz1gImmdA8v0uWqi/2STcZLcuiUl+7AAe3YBfREd+vUBx1H+gGKhmSC7cUndVXgAz45BgNe6IFe/AQ9NJ7N8jcdgrwaix9OCvSHj3py/1N5YL/x9nPz/C0p1kIOBHzg4DN9S9NEhuBQ9OIzyKk2hZ368TyYi0zxk1+Zd/Knjfx8U97pNHqbF8/ZabIoQEIz6xO8kVHBPBzIAPvmbs0CIFl8ckG/7hi4aMe2orO5ir5gsUN8oTnpDzzwnyxaL7s+X29AToIN68EvY8kPOmhjJ81Fn+GMN8o6OTGezSGH5BhdrAXP2EGwyAZ8ik/msT52ge0zDxj3TAP68pl8L/mq9aLRD6QdbfhTn+/hL5qQLXZDfbpM5IqcswN4IpmFLvwse4ue+GVe8MUR6umNIFpfMmEc+YOnzLY5zcevoA95pAfkjh2gU9rxzRzWCzbesKfmc6fXYhR2hCzAASyyzAaz0ej3I1lM0Y/cwAtdrBVN+S/1xqfr2guO7At6mGepo/jAutgEOFg/WTwN9hwWehlvPutFO7JGJsksGWcHyD9fcBp8my6xD10jI9bMBtY48ofH5kJnNCR/aGw9+IEvxtN/ckjGyLuTCv6/YFkLfyqe5W+sg86TG77N2sjAt6Uje2Fu/KEfdC3Vk/WN+JIb841zTOv+w/ixjfGQNfrbVMrI53ZyOW7597xB+Hdy52AwFwwGT/D/Z6ln6BCAEWPAEUWdTIm+6TJZGIPKsGE8JWDwOTbCTKkRReDouNrRijGIw8Ag7I8FkONrcBDjJ/KOcBQD4zGSQaRoThYorXaKSNE4ZvNiJiOuDa4PD5zTLu3W7jMTBkUgCC/GwnzmAlPgbQ79qzjWfUBeBAiMMaWFJ1jWS3kIyxPT559Snp5iE4XxcCQMaIPmgnqfvqjnBP4kfccLbELq0xjGC64PTYfiQ7U/KHVw5uQd7VImuP186tH+b3Jn4BiIPF51wd8nCpTBHH+QHviNN+RJAM6YasMfDoHCEFLKg6+cP94zyk/IeG25XXXZaOpjzfjFaQtUyRw81aPFr2Sko+ncVhd+4Q1aVh/yumrc4n904+/Tj/yQa3LJEKfq5EJPxvJPU1P0fEqe4Yaejq7RU4BL3vGGs7ZRTrfVxRnB0doE9d7fMS1ozLjhHSdsDdrpIcPAQP9V+qGxNn/n8j953+aCN7nDG5sPDo2xNB+ekG8Ohh7P4eETu/A9aTCvIAFvOdxUTQ/M/0Z+2fgyiqleXYL+X8+T9ZJn8kA/rTPVqwsf8ZMDe0xqBLzflTtnx1D+aJ6tG4xH5Hm8/jgveMch5HEij/+aB7oGdxsHcz0udeNF76zpF1NJntGGzcnrpP8/5MG6zEt/4Axeqjde1vvL6WEDTEY4VHaDfSNXcEN3cNlHepXuk7WiAxrTFQ4InzgDcMCsgEJ/+HFe+tMH/CWbgk2ZIc5ZG4fB1tT8/5LB5lfwTnCLfgJMsshGwI18gZnuixd80dDcNgVkpDqSNw6SXYKD4vOpaq+7udDHuka7zAdxiBwdPOEjcOXobVL+OgDYSbRjs9DhSak77SKzdBev2W4+RCBqI8Un8kt4/rAAQi82lY2mj/B4cOolivA4j6tLkEh2rfF+qSE7f5c7e6ru/nmmE7+WO1r9dO6C21HX+N6fSz3bgQ7kn2z+Z+rc+ROySf7JqmCHf0AT6yAvAonSgQyb+FC6VPYMT2yE1Vkvf17rZVeMId/gkju2Hv76/GMa0QMd8Jk84gn6SAZZn3Wn2xUXXbVhB8faBTN8m05kjq9UT+/ZUfVkTh8bV4Gese5oQRfw+Q/TkU8wJx+krzq+TwDGbqM/22YdbJ1Nq/Vl6MTWeqajZIeNVcCno/ggICcvvl6Q2DOeTgq06Z6/N2R/+R3w9EETtpStYIfELeIPn4LBRTtesefsEhngR63fOgV6j4bgFkXcgWboxz7afNFJcoovPj0DE523ALe2C34I3K2fvpK3H05vm2v0yePWF/uGT2JCtMAjtBKAi6fElP5ujz1AJ/RdB5w88o/oBScyQrbZMfwwjlyTP3PRHTEh2cJHcqQOjegkWtILvOKvxKq/ECAjDjY17I92/CQraC++YTvRSvnJjAObfWff+Dz6x9aKBQpfPomdLHwzbP1F2MdWEwk6GGHB5dhWzwjO4DFygjKGldAxShwBZQdDYGmhjJ3gjMPSF5z/yv8smBPR186ZgXxs6o2xILhxuKmaKD3CMWKCBY4Ek7TBlQA8JC9wZoQ4RLtTQTFF5tApe7pM2hl5CsxImg/RZRUopoBQv9MKGJQaXIrDeHgXDMNJoAh/TBxhoR/nz5hSaOtHB0YYPTGOExG0MmY2LAy4ecDhVHy7hj6MKEEU7DGijJU+VeDFeTP24MCZEhcsu3UbH86m2vGW8owOqeCtu+Mn/oMLDiWRHcNva0FjOLgzdNYroCBvHDCDi+74px3t5pvJmtsa0di74Bo94Ip3DBVlFWiDh9b6KfAqejEQ6EVmtG1T9Pd3AvAi5+SVoxrHohujxjHrxwDgtXp8hQ9FtnY0F8zQA3QpOIwVeSabDIr10g/yyckL9Gv92tGajFsfI8CY1PpHuAV/6a6/oBVcRkUwjp/oC2dzcErkcz4enoIYfbUJpPCdo/KOTujlWRDDFghwvCto8Ed5AMd69Bfsmy/VGy94473gga4Zb+M+DmI76JHATz29QXv2i8NmJ8gc3LRvU8DDI/Mr9JMug7dm/Ek1h6I/3pBRNGfMjefE2QHwDSCfbJlnsiRwo2OcpIBNIKUd79FQoMIW688+sqeejcUXmTw2wJrpCnytm16YnxPjMM2vsLNsKF3mdMh1zWdjyraDv1ToC+cHzrydfcQrjlIGSx/40X99yY5EgqyvoAAd0EtFcCKbAAAQAElEQVSbYv3+6Jo+4p06eNkQCNS0q9u1wInfIov8BJysfwmOYEv2lz7jiTWwrfqzuzWGPLOpYKqjT3hDJ6xXu02TOmvkwNlTNlH/XQu9ETyjBb6al36SdzzGczCLXuyUdcMDj6tdn6VCltiHkh/6bDzbQCbJL/9kLDtPvtgn9k/dWPAVjurAoBd47x0M/hRdvVdhOyRC2CS0QkP0J4/4YcPi7xv4NXKLHoIsOm+tZB9OdM9YOkJ/4F9zmFPwCIeaz2aZvJNdNpouoScY+Ae+TauA3zN/BB5YeMFP4S97JNAUJ9FXcsQGwq3aBdj8JttiDTZJ1oBW4JgT7E0F7oJq87MJNhnww3fyJQnIp4C7Cc5pbTYIEpn8R9HHeoo+p8nTCJ+skgEypp5soeOS7GjfVCRLJfrghQZkhGzyA3A2lszD2bO7uJO80E2nIJIfcOJTyIh+mwrfL54Ru5ET/GRD6B5+45t3PkAbWQAXD+DLz5OzwpdNF6ORwU3zrto4ttXDTf9jgE3EQc7bOGhEgACCc96crjqBOsW0AMxjFCgDBeMABM4UyAJummqysHp2lw0m9MY4YsNAgqdNYbgpsHkpj3nUK3NY5sEEbe4EwrMCRw7UMwZzYIydzDGDSjCtVftppeaFi8I5wV+R8WIwKOQcDoVED4wShFBeAayjG/Sk7NYId8Jlh0n5wIUnA0AhZUvtUO1UzeV9dAI2DHhZeM7xgDNF53TBVuwE8ZjTmfff9D6fA2z93TmXn80L+ISVocJHY+BovWleXeqU1cvsf4J/AY+AVpaLTNisMIRoLwthd0tJBbbWXiDQy7EZA2dHjF52zCO9qu+6+zq8xv6yVnhirYqsPCNR9GSQ0YDxELCMYz2bQ/GseCYH7mhZwYs2xTuZtiG1fked1s8B0CF9tingVz/zyORxitZAPuAgEKw+8/s4vtrwyylE8cvGhQOp9qU7OOZyX2of6+ADvsDLyRzbJXAwb/VjQxhQATOHbXNN38mgjQuHLIBjC2rMrne4otk24/Rd6me8gp9L7cYp1aYvvS+74Ahd0MjeaENntpcDc5Lqsy/1HISsonWzMRWws/eKzy0KJpmymURPNqrm3vbODi/1pa+yxjLgMmbsOhsnsaE/nn1DHgRmAjfz5/Xksg4vgjn3KvP3qt/2jr6K/u5KzaVuXvgJn9/REUWAay3WN/YFZ3zf9LxL33Vw4MwOFh99/iO4O03GjVsHUz3cyJIgR1AkQcOGeSY7+rBr7gr+s3ee50V/foHPJ6Ns+Tw5Yr75OO/wpCdjO39SbeyftbIF7DEfSo71N5bPZ4PxjN0QMFdMAIair7tijFPdoqcsu82HObTraxMsfuA7BX/qFW2KZ8UzurDZ3gVuglf14/vNpmkSI1RyBr7sltiK3Ol7WjFP9bEGp0rWrMh+Czr5xepzrXew6XPRx+dp5IB93gUme+zT0/IXNspipF1gjH3ZLCd0hZdPufhitGdTJEHJX8USNnr8tNNpCSK0RyO0EqeMsJee0QE/rbv4SUaUpf5jnbE2siO+TvnIEnzHvovPFGpswFjIU4I58jIOdg4WLzimgI7FZB0FTRymBUCckjvWYYgVx3d22Zz0OJ9nAocAgj3ZFv0Vz7KD+mCKIMWOD36MiTptiCBoKQHHJIUiUFCEFTDrqxAYu0ZrMLc+sj/mY5g4RfDQQn9FwKfO81JBbE7UkRzcqwjOBRjzMZTXrlOmVTAqO2Bd1iTIsCZGAT3R2KcEjsZsNATbo9PicAklpwJ3wUrNJzNinTYIVcewFa3wCp187lE4O9YTJMCxxlzP3RxORgS1NQd8GVGKwwhzfhXQ4x15mssmHOx6Be2MBVrIBDHS2hRKKOsuqLU5JLPqxyLINz+l8YkLmHhnh1z98Juc4EPVbXO3Vhs18lRrhY/NAzkEgwPjtGQMHNXZkauvYt6ihTq7cjziPPCTvKivwthpQ0Pz4B+45ISTpXM1tzFFX3fv80In6KNje7jXOhw/cibz/pveyaJNBb3ALzrG0Y5jrLeCOPXk03pHfqhfVwTyHAD8bBYEiKPtAkcfNk1GkXEsWyWTIshnr8jiujluRD0ZZHME4afNx97oi9/oWjxy3E3+2BE6ILhwYqg47mVPwLZJY1PYJ7x21K8eTE6s4Llz0mwYeyWDpJ/CHo5yqm7X4hMPuLnTGXa6dM5xtr8BEZTSl9EeoJVggfMd5/SuXvtYf4hntEK7sstopdicsLmHmHMbmOTY+n2aMcqGzGzJ/TZwNvURAwiIJUPIFFtLz6ybPaqxbIzEk3p2qOrd+WCfevH7bBZbLqGlbVNh5/DYPCUr+tNl9fyW+Ww68ENGVKa1gn88Yyfgr10xtzVZC1hjKXrKao/0dAogqWmMkyA218kM2vuslF0DBw1Gf0Zn6C+/J/Yg12hRa2G76JY1gG1z6LTZfOjjUxZ9R3qCWfOZc17whrwKSsc12OCzjfP+u7yjD5r6YmKEfS3yJpYUQPukGCyJGnHQLvhUX3xAX/QCC5/dxQ/q0Rw9ys850eMH0BwMGza2iT67z22QPvMCLn6TBzzSLiHBv2kr2OrnBQ35cSc78Cx8fY5Dfuf9r3onSPNKRsBuloEnJNoZWUBlsHw/xOHL8FAg3+oy9AINfRkMwkrRjVcoO2daC9SvCqEkpI7FBA/qOQ2ZGlljOFI2Tk6w5hs3AS8DoA3xCLqMrSAVISiEozB42RDIyCIw2IJKzg7+5hTcCd4EYgRTICFri/gIqs1aBIDmAmNeBEsU2U4KTO2MjcDC+r2PBX3019eaCSyGwd9GhSB6N8acYBhDGCqrBj5np42yMnIMBGNmnOKkRQBm/YRK4MjoCBC1U2QC7I9DHAWpE3A5+jav9+stjBFYxR+GjcJyvOQBztZFmayfnPge1rrmc+sv2EMLMoje5EJmRdCB73hIMRhDGb6CwVAwEuAWvfAa7wQrMld4oZ2RI0fmq/Hb3AVS6E134GIMo0Z+0EAdZZWFwgfO5w7phCa5rS4yITi1TidaiswCOtkAkF8ZZp3BlamxEbQhc7xv/eTH+q1JEcCiN/raTKC/dYIxL2hDN6xfX+2CckaR3njfttBPayt+yYzMN1i+UyR/+jnpYzRlStiF+TzWhC7w0aY/O0FH8ZEcoRPHpV1BDxlr8k+u8YdeaLMmY9kJ70tFX/K169qXYG2qYz9tcDkwGwx9bYQ4Es9jIdcy6r7LZIO12eT5DJFTJ7foZO1oj04SKuoFMYJ48ggOWnEiaCAThkey9mBK3pAruuazIhtE86GlJAL7rN+uxfoEwXgOP/JKF9AaD8FTb8PtxFdAb071in7sJzm2bnXoJIGEhtrV7auwJ/Dhdwqm4FAgygbxl+ptFtlvMuV934X8S8wIRAo2u49+7Bv+epZ5ZW/xT52Amp9D7xq36c4X0j+B8NiPzNgEstV0m/yYj/zQO0Gy9tJPJ8V8js0jPEdY8LIWdCWn7BrbN/ZZeiavkkNozTaCgy9kwd/RwAXuTqXYL5t82Vh+kRxLCKKHmMJYNtknFT59XJoP79lfAXrNx/7SPTomUBMDWQt/7FSWzacn4LOzgnGffJALcQSbLIGn0Hs4Fix0wGdJKvEH22gcmbYu/a0B3ayPLxcTzHk1rkUswXfwPSUn+ovp2At9vfuaAp7wVreuSDA64WZXij7w5ouMFS/6/NeawGDjq3+1oxNZ8a6PQr7Qy9rYAXwhP9oUMZnstVhuHKdtXsijDD/6sd/a+Xc2DD2NRzs0JRfqyRHYEgtkRD1dQD+FnPIz7FfRDdwq4gj9yJYNGX1DF3FGbfyq7/yuD78n9im7Cl+yBd95/6veKeS8UuZMMCJrDHGEdRxLURl2dcYIEBCMEsnSUzL16gQoskT6MtIURdCIQfqMRZ1FMO52v+YT3BN0YxHXH8YJgGSaCLI/LnHsJXjBDMbLhgHhZQHtvgSRiE/pKAK8wMYo8LRbF2UmkMYKJDBfG8Ng50bxCKlPf+YGqdZhHp8iWAPczcMxgiE4qn7j3bfU6E8xHEXCgQEiCAIO+OhvAyVrwKCAy4BqtwHgUNCYQeVEMJ7AG6fAS9CITvqiIQVm3LRbD14RbEYCfA6R4hurz/UWfBSUgAtPQktYbbbwXhAhyBbAasc7R+wM2nxuwTKDia5wpYzoAnfzKOhdpxSUq2DYoOlX9PI9ruAOvcCVWfBplHcGTyaTbNX4be5FT0qMp3AUnAm80JM8kTeyYd1Omxhym62Cj7eMhfECKLSjH8Zbu39nGu/BdnxOXgUw1gqm9ct4mcsJDtlnSBlOMobfPqVYoi8c8IScyNCSA/OgMV3hEPXZtuCHDbgEATiMElsxjnd8LHjkhLVZr3XDY+zn2cYcLbSjKR3CK+uiLz73E9zjsf5VyDvcGUcbWLaKzWBo2RM6VX3ndzrJUaMvHZ+37+sdfdgPyRC21bvgRiA0n4Ms+F4erfBFXzR2jG5t1iPYFkyRSVl6GzQ0tV62Uz+yQc6cdKEf2UDjmp9e+qyPTPnDPXL1oGma+AiOklzMcdvmnZzSOY4PbCeBcGSjxvFwlLwRHNJXdko7JyvQF5yQAesXiNBnfyiqXb99FbiyKeYk0zZE5sQv9Cx6sa3+4FbbvuYe4ZB7vsnm1N+QCX7wmn4LAuiBDaoTZrjhEf6TYZsf7SO8dc/shvWyL3wuX4725I594lPxBr/ohb/l8G79+GEMGuCrmIFPJHvjfPyxIJSMwVHAJ8aY9xvHeNbO/7Odsu/GkkO2m4yWzbYJpPN8t2RH1cMPbSTajBU0w92awZ8XskS2jKGLxvgmXqEz/jBWICh2QQ9r4GsEs/jDp7FxdBP9+Wi2mS+Cn00WGPwOu0XnjQVLzCRpqV4RC/Hn1oA/dJ49gyNbjTZz/L1bu1N7+kterUHmmQ2xdn34JQkcPPa+qUj8wQs+5vaJEX9R9MEf8ok+4ICtf23I+W0bFTKivQrZ4hvpMBy1W2uti81GFzYPTySnauz8bjzaojMZBYtvANuzOISuON1kg/gRp4FiTvrMz4AhDkBneOhHt2x82E0n+yMOeMju2kTTS/ZN0tUfUoM7x3F8hxN8+WU2xjvdQUfPY9/FZ8HkUgNgMrScr4IZgp0RKCEgmBhKsEc4xtu9GyujRakRRh/BsQCEcFUdZlF4QZ4xdkWIRlAQDazqj6COZeGHWGAilGDRrk4ghPDqFQpD8cFVBM+Yq828iK9eIXD6a0NE6xaYGY/Q5tXGOOgryPaugCXAwFywKCU6aFsqcLfTlzHlLPShoHaejKN3hTFgeOABLhwYbtkJQZk6xXxLBgltOHV9BDsEVuAsaAAfPwiNdoWBNac2xUmMTEP1Z/xsODgIaxaE+b6aQ8EvhQLIbjNAYAimKC/41uev1EdZwnv4axfcCi4YTzJm/FgYDjKlr7/uRwsBhyC36mUGCr8aC1ebBOMUckChq906ZRIUQRJFZ4C1w8+aBdHe4c7gmtv7vv/4iAAAEABJREFUWPBVRsEcis1j0ROdZZSK34wSZRcAFAwG0IYGHmSJw4K7drQV3ICrOMHitLQzboykeptnzlu9cTaEHIY2jtmGl9xbB+OIV4w7+PobJ3AoeORmxEOfKvSCsaKX6jggWSw64h1vii/sAJo52tTGAXsXlJFv6+UQzI9mcLXxLtjqBaLWQSbZj3pXx06UzIFfRR37gF4yJOptgGTVbJDAVacfu4IW5dQ4S3iAz24JRDlvTsEY/Thy8D2rU+APR/gV/uSeLgqi9TGfpAneeUd/6zWXIqmiDi8EJYI4/RQ4s5HWoC9bQva0KdZZ9tTJJdmDPxshM2+M4kSr9MxcAg31ClqUPTQfG6xeZpgeai9emrOKTRm7RhaMwyfz0G0BjToyz16D53MwY4yHn8RM+RS22jhO1zh9FM90ttYvwCDn1qBdQCUjt4QffNh0dIGP/myWLD975r34Z83mYt/gyjfxDfoIktigwoGcFL20G4vWAlfv9I1uWAsc4CpgxhuBgD4CU5sS+KuzdptIsmW8kwB42FCoM4bO0HnZQv86B7jqir5OL9FGX8Ucsrpk2zv5dPohIWSsOnprXWyp4AwN1LPlbKE289H/kh9rEmxqg6MMts2HseiM3uyO+cASnAnw9GUDyCcdYWtkSUt+9B0LeNZnfmMlq/CncNfXfOwBODaoxqh3FzQ6ITTWZ5bWipfarY9Okht91bnbGBU9yQnbrQ2OTpPJs36CODyi52CqY+/R23wy33ir3ng+iEygmeK0teTFGvjjmldChnwZSybUWzt5YkfZdTTg4/1xLRz1NY+7T52NKTzIlzabDvYD3dkNfdUr1oAndF2soI5vcRpVcqG/OYsfTiXK/j+7/7T6Jz9tamwKyaNkHntmrD4K+RYgl7+w0SMT4iz92Evv6IRmcDNOQSu65p+FLPlSRz5rzZI36Ke/YuNV8ifeAFsMJo6TYEIn62QbStckMiqWIbMjDmDiNd2Eo3n5Vj5Wm9iNfS8c2DbrQDvr4/vhYZy5+ZTqa/zGsi6Y3zioG5sCTYGmQFOgKdAUaAo0Bc49BSSUfKYmsVEB+6EWJaHihFTQLNF4qHkuHdyLEMzbocpQ127s0jGxF3xCgfP+4HRBxl9G4byvpfFvCjQFmgKXmQJOKnzK4gRpnsE9Jrr4+sFpsKyzDPEhcZNpFq85WTn0XIdcx9HBvgjBvGMxn4A4Xjo6AjdCTYEdKOCIzidix2z4d1hOd20KHDsFGr+mwMEoICbx2Qq77vlgE10nYJ/n+SzmRvgdiSqbBp+UXCfaPXykwEUI5sf19HNToCnQFGgKNAWaAk2BpkBTYP8UOFKIHcwfKWMaraZAU6Ap0BRoCjQFmgJNgabAaRToYP40CnV7U+BsKNCzNgWaAk2BpkBToCnQFDiVAh3Mn0qi7tAUaAo0BZoCTYFjp0Dj1xRoClxWCnQwf1k53+tuCjQFmgJNgaZAU6Ap0BQ49xS4lmD+ObJqP4Dgn9DzQyB+3CZVay8/JPBeafUjPX4wII/XdfmBET88cYdA8aMoua29/MP7fnjFDzVY6/x97cAdG8D2I1LmMseOw3fubt1+uMa/2brz4D0P8GM/fszCjxLtg7+noWcOP4iB1n7U6LT+h2r3oyN+aMX653P4EY53TCUcycP8PU19nVMK+DXSjwjuflQkt3N1+XEbP5ziR0nmiPvBLuvyQ1fkdd6+7bsffPGDOf7t6m3HXNR+/IIffeJ/lmj6fFk4O+4H8/TN65ld7BRc/NDSEq5nhlgmJq9+oPI2eWb/czv45Vc+/fjTkn2/lsnB82OCS/DQ2w8N+YEhPzZ0LfCPeQzbIgb0Y2jk7Ebh6sed/ADYWdAUn/HbL8veEJm9FgPiV/U+MdzwK4Z+Vc6vduV17UURBXt+rvla5hsB2xj4RS+/IuoXUE/7540w0a96+Zlic8/fR9jX80wZ3yEAzHUjhBUP/OKbX2LMtGd6EVq/YsZY3QihNYe50Posg3m/AuhXJJc2s2TNryTCkTzM38+UYWcw+UWa0i8C4usrnsNFCSo/OHizg7ldcZFTNsWvKHK+VzTu8PLC6WvDwInl8VJf9B49BRV8xJwYgnmytK9E1xz+Lu/Ff5uP6+H/LnNu25e82mjYjG475nr7vV4AiHOW7Huadr5s2NbBQ+/3DkQbFnzI44W6yL4YcJ3tOdRiJVhtIsSgh5pjHVxy8wlplPQTs+TxsBdjs+sMssIvlkF+gvYPcvfDCLmtLrt6/17poRydrM8bZabfSrlvip/3ze3MLxsav572zsHEv6Oa294uAevXBJqfDqb0ebzUl3+v188ro3X9TPKxEYQ8+BEOOO5bHo5trZcNHwkMAc/9LtvCj3i9HCZ/wDfcEMd5xLS4IKid62W8VrBnJ7aVx/9Of4Hf++d+WoIyXc7dZX0fF6ydPFzE9WVpZ38tBfOMoSNk2QQ7G7thuwzY3jr/E7DfIvc3TiG0uU3GCOB9aiH4fLNU2omOu0yBqAwEmLL0MrrptrrsnOyEtfmER+Z51TD8z5ycqGy0zCz4YFqDuZfwHYavfZyPh3ut15wUEn4AWI9129B4V26V/zlSdocXeKmabHjQwynCW6TC2m6Z+3i9cl7Uj2WEbUcL5sunn75OGF4pz3XBB77Gc2g1Nx4Y5zMc2Th0lwV60QzUV0E/8FN1cm1qBxMs6zwZMDzgBVoVbPNpRrvCxTtZ8akCmsHXGuBO5hyjkjfrfY10Nud8fca/RNrAlLHJ46Sf/vg2769dkVEtGYGjQm60KS+e/xlbcmk9eD2uF954OtJNJrL4W/DgiNdwHPtmipPrBfNE1uHxJnm2htyuusAi8zVHzW89b5re6JfbVPjq671oRA5rbOGnXdFmfoX+4Yd6uMEJDO/mMC8eedeO3miFZsbLxMJVu4L/eKlNQQ/tChkvnHwyVTQCY3zHX7KLxmBaM5r61A4v4WPd5MccynyNxi0VMjannzUX/dDCXGCSe/IBjrWjhcSCdziSZe3g6W+cU0TtiraRFvpYg7Yq6+ZjY61Ju7545lSIXnknn+iiH7hwKNy0zwv6g4d++rMR8z7jO16VnOo/wrYuNkm9NY/j6ll/9h7e6vBMfwXf1FXBE7QlB+B6hy87jAfGWHvJi3HgG0NG2B/yCC9teFXjjC0ctI2FHOO9PvhU4/XBR7xiG9FWH/MV/fWhJ8ZpAwdO6qvAl1yva69+7nTNGvUtGqifF3IKD/fSJXJQ/dTDBa/xj/8oWnoHnwzMca3x7qf1xx9w+SSwFLQwViGz5MJcVeCEL/hlferJBzobUwVe2sEEHw2rbbzDkV3GZ/3JlL7sDXlAT/3d2fPCD33whHwbC4+RfsaArf+6djbQnMaig/78Pb5Yo/n5NLIDnrIED53YEHyHOxj0GQzyDL7YC3wwFHpfc2tX5vjrNy/sZemXMexr0b7wQG+4k5NRF+DGT4zz6le+C95FK7BL38ClQ+gFBpzQ3RpH3cbHcY36j3OBPeIDDhqRKfMttZsb7cjRvJ1uoDk8zGN+cjLSR5xU9DEfuVw3nzWBM6ebcQcvFjqfhMDfPZV2Ub77/fQ8+zbYIjAE8wkn40VR07wK5gmXhQuoEM2CEUY7h+dbzHfPi/IVufs0g2Dp87559x28Pr4z8jx3MgSVMRUkwAGexppnjq/jLEwO2M1XWmu8o2Hr9XcAdsnGMzLfnz6YndtEuL4nD47Einafk/ePSYH3vXIvxjOwP5x3GXUZWjh9W97RKbfJvF+XB8dAH5a7ecAhUHldXQQfDoQO7eHHaGhE59vlwQbH+K/PM7rkNjEM35IHGX3fr6KVunum7qNTzIkH4OV1dVGqTe2M5C+npx12bldcHBse+ibOsfJd0urIEH/xEV18doJm1iQD8VnpYxwDcLc8w9c6KB0D+A2pk922Pkes1seQUHYbSjDLWFC++yz0L/lEM3PAz9q/KX3JGCXP4+oC4yfyRK5zmziD78oDWYBzHic8/OI8wDu3Ce63n6YJf+nIt+fZOOv2vSUcq2+aTi76Y/2fkhoyf8fcPySl5snjyWVjSybJp3X7FAKf6ecPphcccpvo5/fmAS65TYzKj+eB/qqDH/mDX6on+kQ+yBB5/qpUMoi5TWCiPb0iZ2RVX4Zvyn/0AA3R1PEpumo3Z5pXG1nz+iQOztq/LA3Gk7P5evA1zdPn5X9fnmLO3FZwvjEP7EpuEzg/lQc6Rc6s5e3yfucUfCU/5Fp9qjZe5JN+Cip0RL8fyAN88eG2eb5rineyjT/k19rxtWSLfDuVsz681PerMw7NySrn4+976B1YX5k2xZq153Uyn/WgJ50Ew3zavzQdfIrB1uVx4tzpF8fh/VPzP7JPz429R97NJUDN41UX/PGcXpFnPBZgX9UxFXTCuvztB9z1xyMBiUDua9MHLG3wYCPgnOrVRfbx6rPzJnjSjr9kWfnO1Auocltd1kxmyQdasnsKGPyFeeAyjiGr9AEf+Qf2A0+siT37pEA2Dg3hqz5VJxc6gQlHNsqnc3SFPOiEzmiqwIntIus+q9RuXeTOt7nGk3k6yk9pxzd8sbZqR0f+RftY0E6fO6USPHiRLbRO1RWXNf1kasiWvvjAhpavAucX0u5v23yPjZfarMPfRhhvndZddjTdr7joq/7s71J/68ZD69XONrJlZB4gtII/2cbDn0sl/88esy9sq3d6xo5Yf7pM+IcG1e4O/2rXp4rA0xroDJ2zNnLGLrPf5EJf/OS72Shw9P2xNJAPtIIfPRppjbf8OhzB044mxr99xqK5sT4f4Z/gaO3k0XzksQI7Y9hy+JnbfHyc+cjI5wYeXRc/8PlwV0dPxQXsLfjgsD1k25pLj+gf2dYeUIsXOwMee0kmPJuDXTWvQr+/I6PpC9uKFwVTP2Pxk/8if57JMptLt/k9soBe3vkZ8R+4ZMEcAT+xrz+SB7qAHuCJh/RP9URn7p0Hdh0PzEWHRnzAsn50MCfdJQv8a4ZO7DVeoLm1aieffJB2csuH8sPaxWbwskY6pQ7e5Jgto9Pr5rN+dt1cZNl61umVufdeLHYEijgM6aNSadGUjLEXnAsIfy31HN6jc+dkfe6Qx8mnD7+XB4T5x9wxgZLXJwaE4e9TT3gR6jfyTMjNh7CIBRZjYE7OgtKN+P1pxgiW/jl3gS9hf1aeMehvchecGUshGHQKYd40rb3Mb/xfp0etl/Myt/H3T/2TUihwbpM6nxFhnN0ooRFoPDCNPq3I7YoLMx+UGjDBp7iCfPMKJh6TNsaWYfv9PP9ZCli5rS6fMH1fnv4w5VdTOHu0y+NKUOEteGH4/jWVFCC31SUgcryFpoI8xoeyMyLmFBTBiTMUfBLSpfYyhuZiAPB1NcHwP4Lu+EwQAxdBsb7oM3Rb+2i8RnQCg3wxhuhT6/M3GuP69B8Lg/LYVFT/p+RZfwbMnUERBJE/svbgtPtMLLfV9dD8nxwJlvI4MZyOStGEgQafA0ZAC8UAABAASURBVHec/186pICNN/BGy1unzkYkt7UXmSb79Injxx9yzQDQhflAjk8AxlHDXyDp58Hn/ZbeyZ81wA/PbQg5GPxmGM3H+Gn72QCgP+Th8Xk2D4OmCPbJ5++kvi6Oyc+Ac/bWgX4ciuCI/rAZNrpw1v6EDHTniND2m/Ouja3QltetLnLtMztj6YvA1ScvdMh8bA7jzkFuBXChE/3koMkImpjrV9KPvcntqouR/6fUkl38pMNowP7I0uEfRwUOp0+XyE3Bq/nYFjqun/kC8tTLOum5QAWu7DMZXqd7dM2m3DxsH5sEV7I8TqYfm+pTRnyDkw0a/nG+Ahl2WjCpjYyxlSMM/JC500aXweEfwOUk8U8wRWZqnGe2Dkz6yfaytwIpdXzI31Xn3B+XYs104lvzLNB+ZO6CEePgYBw5h68AFM3SZXXhjfUUfJtaa7TZWnXI/+AE7+LvQ1Jn40uX2b1fzDs9MM/P5FmAYxOQx4mu8Q0CJO2CMrohCNU+FjZGMPCbqWRH0SuPE3gjzuoU6+Nf+GjBA3z40upLl0uG6Qxe0Vn0hwvaCHbw31gwq+C/dv3ZNv0Ffvwd/6o/+bY+tgMO+vCRNmD8hvnIMZ0wpxiAPbIZw1c4Wyf+Cf7whxwKoqqdvRZXoHPhVnfz4xVbVPrFrmz7+SUc2XPyCT+bHXwH1xx8kL/NszZ+E13ZQmvma8ginVPICN7xXdZDRskj+/aIAKPris+TxShL86XbyYV3f5U3QTv7DD4+4Qtfwd+jHdrSF3IgXjFHhi1e/JiNmRjCOLSFq4CZnzPIGvGWPqALHMBEK/b9l9LJOPiz2+jz5NRJ8oFPZskB3vIvkgzolS5XXeRd3DjSg70UWwmwyQo8rf9hGW19bCd88jo9I/8zns83Jxmgl/iIh9ahiHXYO7AkNfle9QrbS2fxEO/4RfS0RkXCB89tMujx72bOmg//8YTM2JSgnfUbJ1aGQ7rfmMtixpkEDgwNopXyEEqBlCAAsmP/bZ85mwekswALAzDEDkuAhXngMuw2BZyiOeGyTggCanVhjEwqfDlxlQSMA4LvNuM5vnXj/y0ACQtYHDYDLJjFVAJHKNxtNErAMuTksvEQaFjzE1NLIBlDdCfI6sB6WtrgT2HyuNWFlgTLeHhSOrBrsPYfygu4DINg3iaIETAGP6yHwlW7jcNSe8BM4AnobPS8j4V8CBCs95lpsE7OjFLl9dRLcMzoMwrVGUzBI1zh9PA0cBS5LV76M5TVHz0EEmjNEGo3D154VjcqGxr+dCAzBow4ByHIhhMnI9tj5/7r6UNOc5u0MWZgclTWTZ61rSuMB5klM8aARR/Uc87zcWSZw2Ik6AlHJbBYkrf5WPwg23P8GF0bHOtDW5tG+Aj28Q1svMYT2RMbs58PcP1yW13wYOjIF/lFB4ZNcGTDSg8FWjpr/6M8cNI2GORUMDeuJ81bXRyjQNia8MQGSqACN7QSvLAL9HUrgAudyJDAlLNk3MmNABFdFrpP1ofO+in4KaAhX/gKHtyMxRN2z9q9K9rNx9nYRICxaT5jqhhrzWRCnQ0p+GTY+7xw+nhNT8mveZy80IexL/xt5ATUdEMbHAXlnD8HJyioNsENeGhkIyErLKDm5OmFTYMMp40+34JmxtvYjXaPnnPi8DMnXWV/yQt60hl4aFtX6KtMHbkousCTfbAh124seGwKeOaFO7nFK7quXT8yTn7xxTP+atdmLWjIxxlP5q2t+OuZHUMf7QIGcOm0OxhV6A67Q/fw1drNxRcK4qpf3ekCe2Ru6+MP6B791sfaBSba2Rb6R3fA1c7XWi8fONcX/W1yxv7g8c3sl/7Wwx9YPzvmjnZ8ivXzcebAS7Lhbn02A4IddfSY/LILAkrjBPI2TNX+l0EWXc2Xxysua5EcsfFg6+FHx67otObFeugDHCQwrIU8Fl/Ql8ygH/ry5dYOV3xEOzjBAZ/IVY0dpjx55O//PG/jfGzV0hh2WexBDsgnf0ZWbXbEHGjD5pFJNFe3BCfTnVz8MT1ET2OLZ2yFgNR49eTI2k4G5gFfJFLMi4/uxrMbeEq24Ivf6T7Bv3wCek0L/6GHBAZ62IyzLWRd3AYnPkYb+uKBOjgWKG14ZP3q8B6t2Fzv2tk68gVn8PAcHekT/NECDtrRh+zqj+7awWfP6Gu913xohA7WJ4lnYyhOwhO00AaPG1II/3wiBBiR8L6tcsxhbfOOOZyJ41VGz84PsTEX8U6DMcdv/n4t42UjahymECJBA2NLieFF6DgZhpeQVP9Nd4qvnYFnrByf2WX7ZIIhsHbthyqyl2isyGARWs6p5hO8aFOqHa7VvsudcjAMu4w5RF/yQCEF6Y4JZbkoHoNFYcc5BRcCIQZWoIivDDz5pOiMOf6PY8Zn/CXPY93Ssz6O0GXg0NopE1wYrXl/zkZfMsixkkeZrSXdnY8d3+GmjHWyFeZXHBHaUI/8hpcghMErIz2OH5/BRmvrUM9o0hPPivH62EQ63mQgrcfcaLvresBUBB02oeAoAk38hov2aynWIKsoIyRzTFdldjmAbeBZZ/VjxzhQGWHH1jJVglX0qD70BHz6KSNlPpmtbecrOO7j3N6XytjHs/WOvBrH4OO6dwHQ2FbP7KeMJCcneOacyTwey/jhk4LGZMv6a+z8bjMha+vzQ3SzwWSHwZr3nb+j/Vg3f682gYhPQODED8nCzdddfetuPZ7JMbvJnhjv5EVAoG1dQWs0n7eDKZiULQWLffAZhyCHPZ33X3on9+AvteG1YKfavI9yWPV1n7d7H8dXv6U7GeBffCLj0wWnQGyJTS845FygbJ2y6fAQJAka2TpB6xLcsQ4cMHyGwT+DjY9oiJZj32t5Bn8c5x193QV3NiTssQ0Vu7OPOcf55s/gC2oF9uyIT8+cxFg737WO7yMc/l7AWXXe0b3e3a1P8VxFDGjDgtb46ZSOXPIZ1VcwXc/GeXfftcCH3yMjEgr0n77M1yhoF0ORAfrnsym+G53WzQk/sNz1qbtnpehR9fWuzXySEzWfE35xoE2Ojas+Z1bmBtFuSkAhY1tIcSiydZR4G2GpcdveMc6xtCMq2WNFRkBGkOJsgsNgEMzKkugLX9+6bYPvuvFODRgX65UR4JRkejwz8pwYJsowyEARDnNvWzAfzoy1jQtn73gXHbaFcVW/DRXwE6Q54kXfKgwQA1vtPp2qNvdq3wB61cTwWlMpkd26jJUsGh6SqVXH/K/6uuf14BfnIODzGQgj71iZbMk04++IAGcvsBDww5982LUbLyPjOJkxHcfs+mxOBsLRH0eNzoqspcBmCZ4Mh8+gGDYbDAYMnmVwjGFoyL7n04qx5MGxpLmryLaSceMFNL4xtsG00aSTo71AV9kgfRVBDX7LttAdNBv7y/qrJwuCeBsrGX91PtmQ6TN2XBP4NlfgLxW2g0MRcNca6Kl1ofHSmKrD23Eu86Nhtbs74sYj33rKMnOa6ncpso1sEWMvsLUh9LcLS/g5voW/+dCEHYbnOB89ExyPdbs8W+NIU7qKb2RihINP+GFTW3rtDicZKXbXyeQ4ZnzmXB19443NsGwVmbNBKl65C+jH5NEIo54FTAIX8oluNkbWUe3zu3nYaSdzY5t39dqrnp4LKAVF8FF8Gy9QG+Wj+o939LBBk9kWtBoryEHP6kcHyFbZO7QXmOszh0+eBUwCBrAU8ucTuxHngk3fwa53eiqAAqfq6o6fdE2wU3VwcwJDPtnpqnfXXz299a7oT57BmffXPhY+WF+BJ/rgv0CQvlqLU2L6YI0K22bt+lkD3S941onf6F11450flRQT4LKvbAu+jn3IOThj3WnP5lSqnxMPuLF9Pr2x6cYftpE/mfOzxu3zjt9iBydFToHFITZDkoqnzU/P0BBv3OHFblujNu/rihjQhlpyCz/poWCbLUBrtkJ2n4wUDPiRFTytum3uvhRga+k9nWXz2AmnjuMa2SafK/tMhyxJikrkVB9rtDb8Mi/cPNO9Jfm1YdFH/GesMWI/coM+kgjmwHvzOUV1GuXURkxIPoxRrkXejLvmAvFxsECBo/XNqQVpgzCGy5AsEUCfKohh4Rx51Z12p8CCScaaoUN8DHJcWARdBwO+Ah2KzJDp51jczp6wM5rq1hXj7eaXxoNrPMYzQAIPASFDRHiNYQhlH9bBX1cvIDQ3YecMOHDfpzEM8zFwYJwpMEGct2/zbrxdrT948omDMQJbc+JXtfsmbqldf9kmn+0wyN7HwsDIvMhWEGI7d3zlOMGmhDYt8MdXgYp5RxiHeiazDI3gFK0poSyobwfnQRFcOXb4C1bw2gaX8RK4OCK9XjwFTWTTRtBnKeAxko6JGTHvYxHkCzQEAxwsebAe8omGTofop88QbApP0xmwwRGsMJAMsDpH24JX+lf8tHbZe45KMMug66vA1TeDHDb8OVIOmtGTrSHbPtnTlxG0WffdMHzpjvUwgtZDTtgAODmyFXDglyyutYGxVGw8BAtgw0cfeiroA987++WUCVzvVRy/WqdAk8H2XTAZ125u9BRQkB88E9igh/ZdinGcEX6TP3SUdR8/LcE3n1HpZz60MM588KSr6CCwqn674DD2dSoFB3pqg4pPS7adE5blxFc8BsOG0imKjajvTNHdKZE2ATZHV/JnHfhNZ9gdQZZPbAT3BY8t0MYugDEvYJEVm2u+irygDdzAr/7ssXcbdXXkW4BHx+Grzmdl/AoctKvj9G2gyTWdNx++sHECBX1OK2wI/OHl2SlayZGxfBra4L01sPWCG0GA9rHwM4IjPszmT3++2ObC89jXMzn1HTv5ZXvR3+YbfO1joWM+ueFnjdOGn4JBGy8+SV0V/emj+cf+giz96UT1XbrjFTtF3qzdGr47HW0GBZ7gsqtoLl5wKlXyL4FCX7TTQfzgPzL8iouOWw+/iT74Ci/yYQ5j+TOxDDuGz+a7AsiGF3JKV9GXnYQzGqIv/SHT7JdTX6VglzziSdVtmGanJutDV7YAXcm1b7TZPHPB1d9v0Cs0GYFL3KENXsCf/2Af8VpsQx/G/uMzfho78lNSgm1np5xOkCe2Ch7msEHjO/jSEdZpz+hn0ySQt9GzWZKINDfYNd76rIHuwd0f35LP6qMdfdgw/XyOxVdJmuJbwak7/RPDmg99+Af0gYvP8MAFh60xn023+ciDjYdNpPXbLNlgkLeCffC7xY6TWCBnQVgwGMJ2X7IOnObYd+kZkRhLC/P90LhTWeqvTrBMYQQtDApiUm5HqubXZ12Brz/EkL0iaPrDlcNA/HXjqr7Gl6Aaz3D4Y4Yabwdq7RSToaXA3uHoW1CMLnjb3hl/RlRWX3Cp+OMq3zALqkY4Akp/yc1YwMVfiI/t2zxbpz+Q80c8jq+sE58ES2iunaFd124OQR7jyhh7HwsaUDbfnFNETlWWEb4CZMdRnCWh912wP64UrIwwDvXM4AuWBBUMDFoLYmW3BRPzeQXuJsBSAAAQAElEQVTa1shA4DWeo491bfrEZg5n3TuYAg0yz9DhhQ20z0/I4XycwNjmhwFBT31kzOkHOpIheAn6fCMM3hzG/B0ODDEcSh5s1JwO4REacQ4cIDvg+FK9dgYNPPoGD44XjeBDBtDKhsjGkOODj7U5DXHyox8jWOuh7zYFnJQgAf2tRT98YlPAMOe8GKMPB8YG6EfOzAsP/Tlk/K93dYp10znBj8CK83d8qs16ZKA4KeNsBjhMtkr7LkWSwQZHkIeu7vSDgyk4sjrmE4yYD170xIZfQA2GuX1i4g+1OOUau+sdPA7I2sidTaSEBtqNsMiIz0fIKienHf/IonF4hi74r80GgU3xXHDYFjJqI2XdAk+bUPjr5wSCXaJrNWa864P/5BRdBAVsDdnF++qLfrKT7CfeOVHUh+8SrINjA2JjQOesrcbKrtrc27ypxwdzyfBVn3V3cMmaxAVfwFbj0ziWXFojWoLLv1i3dczhsjHk2WaWnqOLAIQ+wW3en96TESeK+EDn2IOlvurgQK9sguFu8w4fNmYOu/prq/5suoCJPhs/HzO+C4YENmyGgIrsWwf/RcfxVJxgHoGgv7myfnDppLnopFiEzbF51DbOgZ7WbSPAnuhLl312R0b9fZsNCd7woWKSOYwR3vyZPSj68h/8Izzps+SVzax50Z3tshYwyDffan48YpOsQdv1FhtGsQda2sSgK3lSbHgEmzbo/N58LvaFnNuY0CX+RF+nZez8vP/4jp+vNE0TvhQ/8VGW2mbJ52UCWPqGDny+TSyb5X2EddqzNdgk+Ic7bH6tkQ6JUcRNRUuJVDbHH6Cbg/6xF8VjNgLfbQjEIT5fY8fhWH1GXOgq+kg4oY8xNk1sMX9H1sQ4ZMB8fKL5yKHTYDYGbDYFrpIkS/OMc+7teR7MA4wgFA3BFMymzNoUC8FMCHufF4JhnJ01oWeUGAyLs2hE8LmCXRxHbjxjBKZxhIbAUBJtY8E8xKWgVc8AONo0ViGoha82As9ogTd/B0MdxTRW4Wjho00xzl+ly7bIbqvDVLtGmRDvjK7Ax1wURB0BswEgBN4x3pptPgSLCiOmzbxoxfnJJqgbC0NCUfWTQfQuMC0emN+RNodpnEBF1pcx8l7FfGAo6DR3KOiqTRnbvTPM7gK7gucuKEd/NLImfThTTk27QuDB00Y5OV2Onayhj4yZ4IB8VH+749pQWR9HZH3kR2CI1gyt/pyL/pyq97G/TBva6aMeDpRUkf3SfyyMsuBP4AIfRk4QQD7hW305Fxsv+KvDX/0YC/PQAziSh/m7/pyqTBR8GOd1gTgHJbDWT7HRJCdgMKB0WFaaoZIJ8S8/aGN0GMQRP3wRDJaBocvGg4tGeGksZyqjySF6h4PNNudVY9WTQxlj48FFL/WKoM0GUBudFlzhHbmQPVevyCDVeozzr2nBSQaFfNMZTl0bg2lTO8otAyyQBEvhWAuerKjAleMTvIIxFpsRc1kD58Pp+qNea+QkOE4wybXPY4zFN7JW74JHTkuQrB0N2DrZVc+yZxx60ZaDYfdkfcA2RvGtNgesznwcgXqBqsy0eo6MXSEDZeME4zJxtWZ0t1EQwBg/FoE1W4xGaANmzUO2fTsuYClYxrLFaKQvp106pk0wX23sEf6yndZOhvSBJ7jgaHcaWGPQkX7op9jE6EtGvCs13vzG8U0jfvoobAL6kRv+RR2eGGMsHWED8FbbWNgZJwz6SUDhH97pIzCTnRO0e1fvsxc2y3o4ffYPPSVp2GHy6DSS72AHBLD8IfhO+IqG5MB6BS3ggk9f+RV4Ww87ubRefa2FXpUdEcir02Zz7uQYHt4Vc/BTYMOFnat2fMBDybyaD/70uvrbGBfu4Pk7G3//ggbe4c5W4T25RxMbc21g4KVnwZrAGr3gwbfgjbYq7Bj9szb0k3xh72p91U/wLtgDHzz+sfA3Dg1thukN+8guggE+H156af30jE3AV+3WYo1wgCcYxpqbzMi8qmf36SRbhsba2WP4s+0CWqeWTgHRSLv52FRrons2SU4ZxCP8tlMzum8+69EOvjnRC/3gaX62DQz+jPzzbeyTseYaC92CL3qhjdMG9l0fOEmGkhHw1FXh/6yn+GQs/MDBZ/3InD5wGvUN/uwOW259+pJ5axzpgT/8rrgJzyQSrNEcbD7aspvGK/wqnyBmMqfNhGSDcdYu7mMvnNCRDbo9Ji7YTbaq1g+mefgnc1qjbHu1m8/fApU8GG++8t3oZv3sJBzwk05aA9gHLRA+6AQNfJEClIDC2kQwloSA0BFwx12Lg86wUuaTYHLIAriDo7LHCTgaymYTgdYKh2UdAp89TtWgjowCAn+yy4EzxGeBHtkTBAnyyJ4sD6fE2HM4Z4FTz9kUODQFbHrZV0kYsi9zLBkjqK0kzKFxuIjwJZckJwSo6MqmOM2xgZLslMSzgbKZ36d9wUtJwpGfgnMBPJz2SWsbJWt04mKN4iMbZglDm7d9rmufeJ8prA7mz4b8TivsyH2WIKjn2B1HykzVzvVsMFueFU4y57INyz2Ot1ZWwGkC2qKz4MrJgF2805Djxfx4MfOZmc2nLM/xYjlNHJrged/OZpc1c0qOomX16LoMMgfMYe0Cp/tupsBla2XLZAX5kmNcuyw8G8FnkHunwk4ZfPbAJh8jzucBJ1l3n+/ISKMrf+ZZFtoppdMoAbaT4n2uxwmVU0AnFuZ1ii8p5oR63/xkrwXw/LS5fBHhxNuJmNODfa7rwsDqYP7sWEkpHYX5rEOxm963UuxrdQyDTx7OqyLB36c+6Kz41s/R5L7oc9ngOO1wsoGux7x2n8D4jOCGHHOuIYRPFWx+yJ1C522COru0hmBdvRUFBDx8xlmdOG2DpE9YfBdP7hWZY6dS24ztPuspILnmcxE0VZyCqGPn/M0H2TiEfQF35KeY4FD85J99Xml9Cv/Nlq6nys4tF2tAB/MXi5+9mqZAU6Ap0BRoCjQFmgJNgf/P3r3A6x9Vc+L/zsvfmHHPjEsISbehjMuYyaCU7lFqiqT7RekmIUnINV2oISkUXaRQk0hCSncU3ZQuulERJQzxn3//+byffuu0z/f3fa7nOec8zzn79/ru397fvddee+2111577bX3c77niAPdmD9Hg9272jnQOdA50DnQOdA50DnQOXC2ONCN+bM1nr03p8OB3mrnQOdA50DnQOdA50DnwKlwoBvzp8L23mjnQOdA50DnwPnlQO9550DnQOfA9jhwmsa8v/npi171N0q316uTw+TLeP4+t78tetRWix/+HupRcc2r7++m+jv6/v6wv8s6D67nr88Bf1vWR7WOc/zWp6rX6BzoHOgc6BzoHOgc2G8OLKH+NI15hrw/PeTjAkvI3NliH+HxIRYfETgqkT6g4E9OHSc/fMTHn2j0IQSG/VFp7vU/xAFfavSVuuMcvw+11lOdA50DnQOdA50DnQOdA+HASRnzn5S2fPmPAZ/k2o/6vubmM7trV97BCr7i5u/C+gLdtsmzwfCVWV9F2zbuVfD52qePYfkKZd8wrMKx3YLp1HQOdA50DnQOdA50DuwRB+YZ8/IZYkLbnTZfuspc2fAurrz23Sd4Py8FrpLA2cIle5AnqON9HBiIU/XhUa+C93Fd7/ILpm1DWgBTwTt47+J6r/rylLVB3lS5upUvXXX0xyeLp/gxD1fVrbiFg9u72NWfKwToIxK8J1r6gJuisyq25dqpfPG4zLWpz0nBpye4fqQ8yYse+fPaVKYdMRjxGIE8ZQLYcbk8ZW2+OkLlgRm/qyO0+S28MmGqvODEysFJt0F+tatc8D6GkS+AH5fJE5S3deUJLbzyypNWR6i8FlaeMkG6ytTzLh6XFUyPOwc6B84lB3qnOwc6B06bAxbolgYL9XWT8cyE30rw1ULecNczrpN3XxuT74/4Pyrvn5Xg+bL852Mon5/Yw1j9iSR8tetTE/PKX+VC7IthcOV1gPfGSTw1wQcwXDO5RNLtwzhV3zUU8dNSeO2Ej0m4ZcKLE9D0osS+tDiu7wrMN6fsNxPAPT7xZRM8rsj4wtjHeUlwAuADDF+VtOdO+c+Xzr4j8TMSfPRCG63Xm0HuS3d4pe4PBu4TEtDN+65N/Hpy8vDrUon1wymFcn2/VvI8+OEKjLyXJWOKH8ke9PFbkjBOvgSob9fM+/cm3DMBPjjul/SyBy9+NkC+VGkMjSv6kzV7jK2v+OmHMfL1SjwlO/rw64FShhanAk5QvjZ5eC7PVwrzevCQMXfL8QNv0S9NzhiL7p770hvaH5daxscX4L4iaeU2CF+ZtPHwVUEfsfjWvJO5RAfP1ZN6SwIaEw3k0IcnjB/a5RlX8mQ8PzYZvnD30sTa1KfLJ13PVPnlqrCJ0Wjs9cHXPku2CkT7ePyTydAG+vHIhjdZg43YY5NAg/EAZ7yTNXsemP+fnlBjco2k6/n+JPAKD5OcPfhIzvTfFxirf89KqbFPNHv8jsJ8KJp8RVAdhV+c/9DpxEe9B+f9kgn96RzoHOgc6BzoHOgcOGUOlFFTZDCQLf6PSQaD9i6J3QG+cuK7JTwoQf71Evvi2D0SL/vB3zsCwwhgbIsZfIzPZA8MJIbUzfLCMHfvmBGW14PHVxx9NvjFyRF/TWJG4PUTo4/BjaYb5p3Bf7vEDL5Es+cy+Z/xry44hjRjNNkrPVcMlK+qafebkr5pAq96otnDCELjjfLmagn6b5A0Q4ihqE1leH375L89AR8YVYwrdDOgkj3jB4MeP26VjKtdCIkOPQxEhql2bIxsaG4eCEbbjyeGD16GY17nPrzorsT4sptNnD4y5LVfPNTWdwWDftw68dcnfGkCHjIsGY/KGKS+QMdAtpF4RGDwnSwlefAwAsmNjaFywZfe7hwI8pBotlnBY5sksqav+oNe9e8QIMamduGyUWRwMqRTNHtemf+NC5lKcmYkvyGJT0nQJ8azDYIv6f1r8oyRfttc4gVDGv9sEmxA5pXjQ6ofPOYLuv8lOfr0vsTtAx85fUoybcAY4GSKnOnfXZP/tgQ06LMrWWiq8TDfbDIY/Orjf8BnzxPzv345xUpyMLeMlY0hOdEOXHC/JAA/lFD0k1ebKjwFg0fkNSCzh1ygm5zdOznvTOhP50DnQOdA50DnQOfAKXOAgdmS4NO8DBeL/qVT8OYEHluL+HuTZuAkGv4+//EcMsQYs3nd6Pnb1HpSAsOHwezzwOXdT/bch9HH+8xb+CcXoN6VmJeYZ/s/Jl2Pz1278sFQY+hoo+oUzKIYD3iPfUpYvb8IMN4kmj2vy/9OG96fGKxNC379Wd6lE8345b2tJ38c8IM3Fz/emMI/TWDUJjr08DgbF31jiL4+pXhSBl9eV3o+M1AMYfT/Y9KMeqcI/kIPozNZgxMH7UmLGcgMYrKiz2Tli1LIuMP/JBc++sMwRD+e6ivD0tWc8nT/czDAhR/S+K5N/VNfbANg8/CmwP5VAmO4lWd14WDM5l1HtgAAEABJREFUM1h5yxnAeOYExiZPHRtDRi8D10kIQ9pGldefV9/mgWFrUzEud8KgPM3PHmkec1ecnFCgYVbQ/Kd98uQUxye3bTrw3ob5swOHl04d0KBfZMhfICK7KR7w3ebNBkd9eRXIgXzzUp+NI9rNLca8H5xX//SbnOKr+sYAXmmf0ibXPPe1QfqnFDwywSfaE+3F04nsHOgc6BzoHOgcOPMcaI0fnf2H/MdzzthhGLw17zx2DDtGHMMxWbNHGaOKJ3mWscF/DBPGjaoMM4ZdGS3y5gUbDsYKw7yFcQ1GPg9n5b82CZ5SXnP9Y6y21xZSvPBhcKITkBi9LX7GJrqVCwxcNDjl+OVkgGeYORlo66XooqfwK8APuKb4Ac8DAsTA0rbrKK77JGutx9gxol+QWugUnL6QCyHZA+MZD5UxThmW8rXNwGXEMwTF/ykFZfwlOfnoD281g7EA3p1E21dGqvaSPVSaR9q7+tplxINR1ykGmVBeAf9+LS82OTZzn5s0A9XJCC++fnsnQ+oaM1fD4BRsNrRFxgVzYF55UM8ePMArV6m0P8sc/Scf74y1Iu/6CL/2XLNhwKNBcG3LWAjgBTKnTLoNcJJvnnlGutMumwV06Z/TEvUEm3GbDn2DQ7nNjzKbCyce+KJMMA+Mm3QPnQOdA50DZ5ADvUudA/vJgdZAqB7wvF01LzyZjuddmWD0eWdEpmj2uP9t4S/DQnpWkP/gZXwtM+wCutHDsGBwMFpaBAxPBnu76VDOwOH1ZcChi4HEeGFkK6+gf2XcVN6yGLxQcAwkpxiMd/3n9WWoubIxpqvqrBMzsFx14MHl6deed171dfCARY9NGQ80vgjG+o4pZGw74fippN2llu8KietByTp4XMkA54SFF593+qBwIsGQZWDDVcU2j/qhrPLmxWh2F5/8oVewcUInY7atx3A3pu6V2ywYF/SjkYy7e65NBjX5dX0HvgquuDhRgZfMTZXbELRt8l4bo1skU58SHXrIBPzmiAIx3K6j2Zg5kbHZACMw8F29WdWQflWQal+f9dGVtpqjrqDBWaH6Rz5d0cILvDQ33IvX76DrT+dA50DnQOdA50DnwK5ygCHR0uaY33UUxul7UsDjyqhzdM8AYiwne2B88Y76MRyDiefPJoBnliHhaoMrCIWfoSRseiVHXcG1EO0z2F358UNINMtjrLvX/Ct5QUui2cOT/OVJoYXB5HoD4yZZg6sajBeeW8alO/jreO3hsEFw15zR5eqGayv45SoJvjDQ0O3KA96o86/5T3824QccjGcbEQH9+G3TELSDPMZyvcubF1wZcgLj9wfwgEMnfPgFj37wfjPsXN/gdQbnxOYbk2AY2li9PGkyA47hzFCEI9mHHp5rBrkfvOoLw9Hdb0asO+2HgCdewDDQ0ag+g9lvC/B+DM545+U2PmQGnfJsXlxrYdir49qYNAPcJkGezSuPv/4tKwdfwVUrHnDXvRjUlV+xucXIZrAz7Mkn2dF/V2BcZXLlp8bPps11mCleFs42NqauZ9l4kD3yjn5zmae++kfm/QZC//CQJ9/pmzp46bob+lrcPd050DnQOdA50DnQObBjHBgbCIwxhg5PtsB485dC3PH11zl4aBnAri8w8v3YklHKCODl9ONZP2xkjDBoleky49o9YH+BxV1dP9yUv2qo+mjx4074/bj0F4JAu2jy4z+GvB9c8nSmaPYwZG6blPv1rk4wWhhbvJDynD64p+4Hibysrm8EfOXHNQ13r9Hl7rkrL04z8IvBiTZeeXQUXfqDh34sakOkP6s2iKc84AxabfrRIoMMfjgYr4xctLiKI29eYPj76zQ8/H5IiVYGnvF09cNGzT1reJQx9Bmr8GnPJoWcCH4saXwYo3AxsF3l8ANl8BVsqP5nXvyQFv/Jgw0RWYIzRQsf4+O6izHVLi89g5c8TlUE4wejjFQbDb+t4IlmwKJVHTx1H54X27jo68NT4K65Osr9xZ9xOVqUB/Tg4eUnZ+TxYcllFCc6eMCjwV/70f/7pgSPnQDYbJAV9OIhOpy62BQaj4AufWxayIBNF5rdu7d50gZZq/mC3zZG6MF3c6J+h+IHz/i5aptLieoAR+ZAR9A50DnQOdA50DkwyYGxMW8B9+f5GKECz+IrUpORwVBm6PNy8xQyRBl9KR4YqQxr95J5HRnt/roJw2RczmBwN5dhxNCp6yG8uQw8f+FFnTbA7+uaPP82GIxZHlZ/ts9pAZp4ehl54+sIDDLXC/yJRX/Z4+uCmEHKUGHQu1ICB7r82Urefj9+DNjgTwgySgsn49cPCdGinMHur3/ghb+MAo86DCr30H0UCm0MMl5RQT3GoU2HTQB8eKFP6vOCg8EP3l3GnvcK6Lbp8OcfjZH6rmHgHaNM35xQ8Pz6U5VVT4x+9NqU4ak8Xlz8cZKCVmPHyNUOOssgVXb/VPCbCnwiE/4aCp7iLb4xnOFliKJNeHTqtA+cNnxOdpQLZMWmSJv6b0Nhg8UwFqSdGKG/6tsAaZeMPjQNuM+f6KLHhsdmhawwXMmszaS65L0qqM/A5bHXV7w3htoHM1XudKjKbZ6MJ/qNnfacFpk/6lcA77cd+qwdcmP89QuMazLKzDHl5qOrUHij3PvUX8lRJoBz8sRDb55pTz76jbs5B68fLjP6leOLjZf5q4ycklknE/Dx7qOnfiALXw+dA50DnQOdAzvLgU7YeeLA2Jg/T33vfe0cOIsccOpgY2ZTwKA/i33sfeoc6BzoHOgc6BzoHLjAgW7MX2BEjzbnQK+5FgecFDj5cYKxVsUVgd1zdxrgZKC8/StW7WCdA50DnQOdA50DnQP7xoFuzO/biHV6950DrrO4U39cxryrSH6z4QfJrsjsO786/WePA71HnQOdA50DnQNb5EA35rfIzI6qc6BzoHOgc6BzoHOgc6BzYJsc6LiWcaAb88s41Ms7BzoHOgc6BzoHOgc6BzoHOgd2lAPdmN/RgelknQ4HequdA50DnQOdA50DnQOdA/vEgW7M79NodVo7BzoHOgc6B3aJA52WzoHOgc6BU+dAN+ZPfQg6AZ0DnQOdA50DnQOdA50DnQNnnwPH08PTMOb96bxPS3d8AOr/SbxLz78NMT6O8x8SL3vwzgd4Pi+A0on6syYHPizwX5TwmQnkItGJP9r9lLSKDuOf5OTzScn1gatFMAHZ2+c4+2d++IAWHhvzfWESWtH86SGYnCTqT+dA50DnQOdA58BuccAiO0WRD8/4UqovfP5wAL454ZMTtvFo09c7fWn0328D4RZxfHxwPSLBl1sTLXwYdd8dCF+s/fDEqzx4+D0BxFPB11jzem6ff5ee/2iCr9kynJI88YeR5uu16DD+8wjwpdufTeHHJuzFsyaRNio/lzofl7Dtx6b9DkGKxx+ReF8e+umBIfb6CfRWov50DnQOdA50DnQO7BYHphaojwqJjNQvT/zshF9P8Nw2/ylL1J8NOMBYelrq/VXCMxJ8POhWiRkKic7l88/p9T0Snpzw/yWcxuNvsfuIEzree4GAT0388AQnL4nO3ONk7CfSK6dKibb+8GT7aNXnXsDs41U2yXj8/gt5Peoc6BzYLQ50ajoHOgf2lANTxvzV0pcrJvBIPS/xixJ+KsG7D9LwsvFEC7xsPKrS4oDNHmlws5f8x/sJBjyPtvdkHzzeqxyM+geFTQJOcGJwgj4I8Hof11Umv4L3BuUAfl4ZuLZc2/LWDZ+YCvdKYOA8KvGLE/CWMf8bSXvwoPqAHn2sfO3Wuzw0te/yBPkFC4d3+WC9C9LyKmhXHWUVvMtXX1odZd7Vq3d50vIqqFf9EHtXBg68IC3vA/nvDQl/ncCoTjR7lIMTWhwKlaFDXOXjMdUmutt88PLgEJTBLf2e/IcOH3JS92PyzhD9hMRgwCY5e6TlaRsds8zRfy0MWO8FAr889SugSz4YONt8eVNhDFf1wSqrNuCWVwGc/jHkXScDN48+eKqeGNwy2lr8Lf/+Mgjw2JgnOZt3aNNG4YRffTTJUwa2gnL5grqVP47VKxxjOGXqC2RCXXgLXuxd/lSYqj8F1/M6BzoHOgc6BzoHToQD40XLQuZKzWvT+rsTph7XRH4zBT+T8PSEb0jgaWaYWugEXnwbAEaD9y8LzC8n8PL/4jAMvP7ykzVb1L1X+e8m874JH50wfh6cDF7U70/My/1nib8t4dYJv5DwgoQfTNBuooGx8h1J/E4CWpXfPem23HWX5yRP+Z0Su/qRaPaoX+VOKX4tubyaiVZ+GCf/NdCu2PxB4qnHcf4NUqBv6NAWT+ZnJA+tP57YJuASiYWHJH5AQktrXgf0/3ESP5YAz80Tu6tsrJ6VtH7Co195nT1Xz//6ZWzUZVjzSuvnN6Xs5QmF7+uTvnxCi++n885oSzQYU1dm/ldetG+M6s7xgy7kyf/epP9jgpMesmRMyrD6nOQ/LEE+WCcYN8o74yvR8H3DMGgTPu3YGJG9Kk/xYDOKlzfwkoBnj038uAQ0Jhpulv9emoAXrpRpz6brs5Knjf+c2Ab2iYmvmuAxTnjwS3nR7qMTw53o4AGD709KDvrJ8y2TNrcSDdfKf/LNmT9J+l0JD01wbx9P9Esd9INzSpDiQw+4b02O/j8zMTgnP2TNNRlX2OQJj0z5ZRLq+ewk8P/KiV17eUJi8y/RgHbz2UnJS5LR9g/e70yeTShZsgklW8k69GgL/isl13yF3zUm8wiPXeFL0YBGbdxnGIZfTXhFgnr/IzEZfe6FuPirfXqh2tdvshKwQ4+rUnij74J5dOkLEPhm7pQ+eEzyyfk3Jjam4PHdGNd4pejgaeuDM28ueVDaE50DnQOdA50DnQOnwIGxMW8hvFToYNT9S+KphzFkwX5qCl0RsbAnOfdhIN0xpRY+d+Ut3topj5ly92ktpMoZkAwpxsmYvqAZHOE7LfiavPxIAgPAgsyQtYm4WfJsHhiHcDHEGHvXSf5NExgL0hZr5TyUjEUGHe8w4zlgQ9XnoVWuvXekgEExNqKTPffBLzx9eyBcsUl06GGAuaN/5+T+QALatPWvSTN4XEtgdDBIGIJ+oMvI/8WUT42Rtt6YMjQ/JTFDmcH41UnLYxThkf7ZMOmPscR7NPCeMtb/IvAebclT14brbsl8Z0LhM5Z4Bx/c90wZY1s/wLpjjm5G2Y1Tpm9kAXxeDz3GpPp8k5TAgSfGj4GerIHRfoUkHp9wvQTGGtoYw3mdPXhto2ejIoPB9Y9JMNxtqrTzBXlnzP9D4vZ5c17ul2AO3Dsxmfm9xB6y4ToQY/02ybh2QhnCSc4euPHn9nlD//9MzED2I1/1bT4Zy2i/S8pel+Cuus0zfuG3/uCTEwMnOmN5w1ObCZsV42BTYENrTvlhufv9DFrt2xihKc3Mnjflf9fo1IGbLDCQkz3AS6YYs/qnvrlEho0HuvBDu9r3mxobMnUrkD34GefGEv7fr8JRTFbJGbnAc7LoZMGTh8cAABAASURBVBCPGNj0Cz58WOqZt9oXV/vm/7h9mwibZ3KIfvzXf7xBj/GHRxkD3kaUvNAd8sj+LdIenZLo4Kn6fiis/g1T8vcJrg6NxyfZ/ekc6BzoHOgc6Bw4GQ5MGcuOwccGTkuNct5aXmaGTVs2lWZkWTD/KIWuMfx5Yh46RkOSA+ODkcOgUP7WZL4tgfHGiEjy0OO4/vnJAYsG7zYUaFZX0KZF18LP48xAS5XhLcMwMOD88NSibvHm4WNIvS9ljGYGVJKDcoZLGVrKeZqvkkL9SbTWoz7ejSsxEuBEA0+lcrA8kww+m5dXJpMnkPHEm6qMsWrzkaJDD97hr00AAxJuHlzGrDbwmSHLCBIY4MYEPwtn2z/8xF/4eK1tJmy8Ch9DzeaLxxUOxjZjl6GG79qzMVGPUSv9h6HYBiPRoQd+mzh9rfvrrw4EWfnixORBG8awaCWLKRpsFsQC2rQLl82GMjLj1AFPyIZNmk2F+9zqrBL+NkC8yOhhtL4m7/AkOniMnROQv7uQw3jWZ7wWbKDwRT8Y8sDQaMNhU+SE6W+Sqb62GKbKk3XwGC+nTOYfWl6fEjDms/7YbBsDsoV/TtoCsvTRLlmBU//+NDXMT7jJIk89w9d1O2NkTM21gG304JX5hz94qc82lvhMPrRvc2P8GPY2iYz/ap9sj9uH67KhRv/Ji/6TFfyVh+6a49p+VWBt1tCS5KDf+EqevVdQn/w6aVCffNos/5cAmEOJ+tM50DmwIxzoZHQOnCsOWPzHHWYAMMTG+e07w86i2ebNS1sEHd8zXsAwQBkcYu/KeFAt3H4QyeC8XQp4rBMtfOARihbGcqV54yzIY0OGAaVNR+aMOm1WI3BZyL3jg/q8d2AEnmnlU3xTZ17QV0YknGMYuNDDSNF+ldt46APjGO8YUowd7buiIa9g21j/jY88HkPXKhi26Bd4M9GDv04KGOs8nQw2xiS8jB/1BfjUk0YLQ7HF5/oEfPrBU8mDawPCm89otSliAPGQuuLA0BYzbOFsA3q926CJBX1BJx551xYajbV3aTHDTSyA4Tnm/WcMMu4Ya/IYpQxAvHwZ4DUC3ld72mf0Fl2FRpuu1egDvjlFcqqinIHKa48G/GZcGnMGJNnAEwa8eoLTF+3grfoV8MmmjlGLn2SDwavcptnpF8PTBpfB2m7OwMwLU/3Tlj6ZC05B0CUwitHV8n0e3lXy8QFv8RS8flda+/js6p62BVfRyDAawFew0ePhd5rzT8k0V/DGXNIHcpnsgwdupyjGBV6yba7CfQCURNW32YEXrCtY6BzTEPD+dA50DnQOdA50DpwMB8aLEGOMp9M1BobFKlRYzBhcBWsRtPCJ5bmaYuFjrHiX35ZbsHnGtGnBFhg67olb4NXZJMDLmBl7TnkaGUC8tIyrtp+MVYu79rTNuHAHHE0VviSFDO9EwzAs/5+BxDvLKGIkjGvgH3oYwMUjMAxAfMU7bbsigJf65EoRwwTcosAQ56nnoYZD4Bl2vYgx64oTw5Zn3R1vV0Zci5jXP/gY/65xwCXA53oOfGhhxMLDy84ryuBhTLq7bVx5WG3eGP1j+WMkMcTbzaQ20MhwhX/VYFPIgHcNxRh7dxddn3lTebN5V1fFtyoc3Ix5pzrGiLyUAaltG0h5+M2z7EoHnpE1Modefa7g2olxr/bJiCs15guZ0TdXRHizC8bvDNwnJ+u8xox7tFT5ujEZRtsdUrHoEruKgo/JPtaneMPo1m4F7RdvWwJsYGw6ne65WuXajnkNj998tLDmBpkvvns3X8lhC6f/6pNfvCwaXCGzEWhhe7pzoHOgc6BzoHPgxDgwNqYYj7xffrTorirDATEMM4sWY9d7GxibvN2MT0a6H8W5U8p4BcdoZlg7kodvXG7hZNC6264cDmnGCsMfjk0C44330CLNGITDlQUGFK+ecl7TKue9u2uAGJ6JBsaR6ywMs6rPQLLwMwzAtMEPFf042HWQNp9RwFvoGoH7/TzlVY7HfojofjYPsvv7ypxm8Ja7BsJQ+Ipk4p8fvfqBL2PaGC3jD6Ocl10f3YcOmsH9fMZ2jb0NnFMRd6h5iHl0edPBjgN8jDf4XI1Sjg73quHjAWek448rG67TMIL8AFIZeFdE0GRj4L0NNgquFIEv/NLkDi5GZQu/KG2DxMvNC2788JGHnyzbTJA7xtkUDvKKbjI9Vb4ojxzhhc2NsXev3imQOsYLv8kCfqPB/XT8Nk9salv+mys2k/ipvgA3fPpn82ODhP8MTOU2E2QcnPHCT3MULcoF/dP3VhblzwtodqphE4F/4Gy4bCLMWe9tWBd/W3cqrX1X0LTXtu8Eb9y+jZJ5Pu6/sXf9ydU6myrtkFWbJWltiK+Z/2wAjFWSB4/xsRl0elX1bQzM4XZ8DirMS/T8zoHOgc6BzoHOgW1ywII3xsdoYjS6AvDCFFpEXYtg6DMAknXoYSi4l25RdH/aXwJRjzED0CLoGoBFUP64nOfYX/Nwv125BZMxwhhsDRC41glo9eM/RgjjXT/Q4S9seGdMKmdAemf4MXwYq9rRX3zg+VOuPkOaIWbzAaYNDEbec4ZWmy/NUFBX3/AKLoHhoX13/22ieK/luxrAW+t0ghHOE++ONE+3jYHTEz+e5JWFf17gzbbBYHjZmMDNINMm3jKOGYOMedcHBBsWP+orY7rFDZ8NiRMG1xHgs9kxhvAZa4alTZJgU+aHmDzg/iIOeFeV8BhPx3xkQLs+godFrx9Pkz8bxpaWVdL+4oqNEXyMX55615d4rF0BGrdfOPXD7yP0FZ0M8ipbFps/ZMTVIv1lGDIk1cNvfFWO1wKD0F+QYhD6EahNhzbVNVf0u6WT3KKNx9184+GHW//ETm7gI/fmk021332QZ+UCetxN91ehePEZsPLnBeNi7pBLPEWbv3ikH/o0rufEC34y7/cWfqMyhlnnXfvuy2u/5o/23Xcft48PfvRd/Wfs/3wao4+cUNgA2eTrgx+xmvc2Vfgoz2bM+KfKoYeeU999+Rqf+wfCxnRMQ7L70znQOdA5sBUOdCSdA0s5MGXMM4J5CHmcGJs8wgxthoNFywLmaoBFTQOMOIYm7zGvIM81I9iCyrBQh8HAGwrfVDmjg7dXOa+xPwnImIe/Df76BgORUSafcesaDSPcO2OT582fIfRuUWaQ8X7rh48AMTIs6FXOWFSOPneUr5ECi32iQX3GsHL1eVEZMIwrxpGrFIxjnkhXHhiK7iyrOw4MKHeOGZJwCf7qhxMC9PxKKvhhqnzefYadOsp5EPFUO/rOQObBZbik2sFjM8BT7keKlcnYcD2BRx5uf+WjjG9jwUhxFcYmQTBWrii4PmODgRYe3sLHuOQRLXw2MIUPbcbIOAp4aYx4RI2v9gVjQn6MF0PPporcacNvHODXD7BwkC8GnfLvyn/+RCL+JznA7yRo6v67UwDeZxsfGwrj5koQmbHZUF8eQw4dxluetvxVExsbJ1J4wvB2baPkUvvmCPlQp4LxwuPiD1rNH554G2RjRs7wWsAbNNqYGW/3vcmpvhtj/EBj4TffbL6c3PBA22joH9xoMj42WMrMR95s8qBe4dA/f/7ROKtP3m0QnIahHxy50Aa5U9d4MaDxDm3+Ao1NaEubegL8jG/9Mh9de/EnYvGYrIOxgXdaU/xkUDvdMtbKte9UxV8zqvbJidOrat/Gadw+3vhLONV/sk9+4bDJMF+Lv+7Vkx+bn5I3dJrX8o2VjQ5e0WPqM+hdS0ODdswvuNHcQ+dA50DnQOdA58CJc2DKmD9xIs5Agzy/DDsGeBkn+9AtxhgZsEm57jAMrnS4F+0EwTWjfejDPtHI88tT3PKbQcigt9nYp750WjsHOgc6BzoHOgc6B3aAAwy5HSBj70nAR55bJwz71BnXdXj5Xdlw+uCOtr864090us6xT33ZB1qd2vDUt/zm7fYxq87vfRjBTuMhDvSXzoHOgc6BzoHT5wAj9PSp2H8KXM9wl9fd+H3rjR/fuqdewZUIVwr2rR/7Qi+D3ldei9+u8HR+78vodTo7BzoHOgc6BzblQK93TBzoxvwxMbaj7RzoHOgc6BzoHOgc6BzoHOgcOG4OdGP+uDnc8Z8OB3qrnQOdA50DnQOdA50DnQPngAPdmD8Hg9y72DnQOdA50DmwmAO9tHOgc6BzYF850I35fR25TnfnQOdA50DnQOdA50DnQOfAaXBgp9rsxvxODUcnpnOgc6BzYJIDdPVHpkScqD+dA50DnQOdA50DH+TASS8M/zbN+ijUJyZe9qDNR5R8oEV6GXwv35wD/yZV/VlKH9r5sKT35fElWh+n8vXUfaF5GZ2+GOsDRgy3D8Ku/78xNG98FEptuP57Ej6ClehUH99k8EEtNE0R4sNRPjTlA1P/fgrghPPoHnz0sTfzpG3+0nkxVuvKH5zwrTPfrpu2XpXg43QfkVjd6yfepP1Um/v8u5TQu5+UePzop3YvlYIxL5K1tUf/fJSr+ufjY9rV/tYamYPok5Nv7uBDkjv7mCc+1GhN3QaRdAZdeoUgI5+JdvYxNl8a6nxUzlidhFykub1/jLGP/n1WerIrY0yP0KPHMb8/Jv304cSPTbxLD977cCE9a0y2QhukY0Q670/n+QiSD9yMy032H0ymr8CaVEmu/Hx8IP0dc4t5kgsfSsrXFr8tUFN0mMA+uINWwVcc5xkIQXHoAaeuPw+o7t1SOrV4JftcPMXLH0pvLaSJ9uLxhVJfCDWee0HwCkReKTC+cvspiTd9zMt7p7IvmVKWl0z6xxN88dd7kqf2WHx95ZbRNCbCnPfdA3T6OuzUvB/XOe53c8MXfO+Uhsb68obJ8xXndeUPTh9nW3W+mZM2OM9Ke74SfJXEeGhDwLgf05XijR+OFl/B9eXnMRKbK7rfV4O32WbbDrxflgxzQP8+I2lGG16ty+dUXesxNxgV355aNtWJdvbxJXRf6J40VDagmozRpbdN3V2YdyFj8iEf+k4+Pi8QNjXykpw9DLhbJWVdv2JiY5ro4KEbb5K3ByaQM/y7ddKrwo/xperePMb4LqHWukkHJXnqD2PWxyrplY/aMjWcfd8XnJwxU+Mmjz1Llm4TuFaO8npsj/n1LcHOviWPSR79mSKeMUGZWSymFlxEKCMQFt+jU7EZBgupReWXU/33ExgAD0i87DHZwfFC/FqAfyXhAwm3S7BYJTp3z/9Jjx+VcNeE9yf052xx4C/SHcrqsYn//4RNH96wn0llBl+irT82++blE4P5kQn7+N2GkL30+X8DYXO16nyzGWPY0lXGj6H99uB4SMLTE87SB8cYGRxKb0m/9M/H+J6cNF7978TrPBbrW6bCPRKOeyOQJvb6offvnh78RELJ01cm/WMJu7SxYQg5tXl96Hpogu+iFL15HYzzjZLgBGTHjI0lhp0yG1ZORQYkW0KeMAUPT8GTqaDf+YfXl75wirbLxPrGyi+GQA7Vf0x8kg8XVmb7AAAQAElEQVR7j93HUcOenbKHj4Me+v/7g/h+Cf+csJVniniGLePYBOFFaxuyCzaRKNd/GYaDIkb9R+dNMDlavCZf5duFBezQU+VgxhPpEODo5VfzTlH/YWIfbCIQjmV52O1ADdTUxLtG4B0z2Zm/MOk/SODh8F6MndcftLb900/KY9wv+dq3MIGXlgdOPwV5Y/rQrawN2lQX/Lr48BMuNKibrg5woVm+GA0MhHen8G0Jxj/R7AGrLlihcCiURpM+FQy+KRuHFgas94LRBjrgF6OnyioGrx4YsfcqE+ORfOXoklfBe5Upr7rqjNtTJg9N6ntXR9BXeVMBXLUh9l5weCK0Y9GW62+Nu7rVdtUfx4UHTfBWOZzyBDDwVpm5/Od5McaJBrBtP8Gq0+KThkuQRqPTAse0jO7ih7rKwAlgtVGhLdc/71XWxsbDQnuJZBqzFj+ccAst3QEdlGkfvHJ15VeYKsdjeMCjaVynLYfXe+GbitEOlzDGpb58AS3qm28+NNfON/XQBBea9AmssXLlyKL3smTwJPJWg29xep+qr01wgjEOikPPsnLtwwv/oYoXXownvPAL8F0omkVVXxk84GcFc/77uOQzQNRTBz/+Lnktr5ThK5rwStoYidWRp8w775xrOvhWPA26gwc9RT/64DkoTKIth3vcP/DqKaugXfXQDrd2lXmXL8+7IC/NHDzj8nF7B4AXEvqpv1O4lMkX0HShyixShm741UeHDSK5BIBmm0je7Xa+j/sLD/gK2tFeBW0YL6HNg6fqjGM8aPGgRR44tJR8FN3y22DTZ1NytWQa/0SzR5uclXTha2c5H/xvGfwbA9bC53XyQadQ44s+/cYjaUG6rYzv8vFGDL7KjQ1cgnKw+FDvlVfwFYPjcLlyMuhTY6BeXmePdOFQhi+zgvwnLQ9u9BS9YnXglq9cOlUuevTB+KkDVr22TXXxSUW68G+TaOc3vOoVnLoBmT14Il8oHLOCC/9Vufr6ciF7MuKVJx/PSOm/JIwf7cKHHv3RJt60eMHonzJtgoVHPXWUexfwQ570O/LfXybof6KjPy1RLTaLPuF1dQVRysA6jjLZ3yTjQqAoHVE9Le9PSviNBF5yHXQ/9ofzLs8G4M5JV2eSHNpyHiZeGBNV2brhb1LBgofZPDq+rGniJ/vgMfh2YfoG/qCgSbhXrH71x0bBdQX9cRLgi6mOvA0aD8Dvpa77T4kOHsd/PAZOAPTbLoxStPN/dqBsRJwKtPUI1c+n7KkJ+PXWxL+d4EiRAvrNpB0ZFT6CyGPQ4jN5AzYQIDQ8Li/G5JcS3z4B72+c+CkJlc8Lpi+uCxBq/EvxYFG9YxLwg9Ufx7DlpXGH97kpB8Pj+5ykeW2rPK+zB9++LqnHJMCjH45yjYVJ78hzTE9ADx40f33e2vrkUP1kD06PXM3gzf2dZOB10UCh2f0aQ20rJ9NOZ+AkBzZ2qTZ7XL16SVLyyM53Jq3/xsR4MWSTdehB382TgwfawCfHvEXf96bMZtE1ARtO8tKWw/nowGjD2LreVnMu2YcecvDw5GgHH52mfELejRmeoNVY/0jyGMaJZg8+kDnyKuNa+e95CfqZaKCEfjYJfDTPyaI5AJe2yAbPCXm7fOD0B1/JDTlTF/3k1jW64n9ABzRX+ZOHYfjqZE71j2eErmCo4hn8lJ95Ayf60UJHtDjU4YEie8r9NiBNHDxVjgblFnjzWB39Ixv6hocq6ZP5XeU/nUynBfiS5EUPg8dp5eNT8tIEp5YUe5KD+V3j5YqM0wbjpf/GqJ1vjprfkEqOm8mBazjmMSOUU+X5KfuHBG1xWqBRf2pM1Wd0VH3z3dwwjmRXoNM4ZIJm9nB8VDlcJU/aBYD/ZNX8dDdf3jig7eeSaXyM/4OT1sdEg/quY+oP/OQfvLKpgMf6R7cI4PWLvsAr81Y9DiUOJ7yG2zE5Jw06tSOYD2ToG1KBvJif1p/qW7JnepJ3lm6p8cZXMjBVrn+cPgykKkefuujgGGIofk8K8UBfzHfyS9aMm1OVam8KHz6jFc5xedAeesiZEzfrBn4wYLULSGwe0UfG3fra6gRr9J8G0PxAm+sXYOh4c4HH8l4pxx9zwJUA4+nKE32Fx9YnOoP+COhgLTEGdVrOViDz5sE3BQC8fpFF61o7FimePfTmNZMChy56xdymZ5ShyVjTF9Y3PJ3C8+rgcCXN2lPjqV/q8uoz4ANy8Pg9CnrxZQxvXv7TAeT8hPlDDthDZPdPAnrPBGuOMdJ/78UvV+TMV3zHTzYLB2WVuypJp/9kcCjHe1fsfiHveEw+rHfWqmTNHmuqueMkwVx/WHK1wdZKcubIYSe4Ymys6CUnE/psfK0/Nb7adlqDHvMI/WRa+/SRk5GaC3BXMLZ0oXlgDMkI2aAb8IXOpTM4h7SrDTLB5pBX9fTZuolPcLtbby5ZA+gD46+PyoS23DhYl9kfysbB3LG+s1sY1uNy7/qNZjQ4ScVz6y7Zwyv6ymk13a/MeKDdeDhJfFGQsGdLPp0Q4od1l6yQCTIZsKM/iJnCwpNHsDTKaASDoYQE4TURLEoGFx7GEaVJwRp4SskEdjzszqk8R3kYBB9mMKwt1sopRQYsxTxvANSbChhCyE3g9waA8mJwlKc9WbOHsHxaUiaZPiZ56NEfk82mgBLQn/sHAu2MEsJNwEw4/WOcU1avCMz40ZY6FhVC49jLRIHXAsywhJtQaZdRbJemTHsMZUoMHNxjfNpv8f1ugAgS/lJ6FnPXK/TBgvqalMNBoOCVLw02RYceCsEER7sxAmtD4z6pxcPYqWDygMUPyt8k9gNnZRVMVpPFQgqPSUFW1EUPQ4pgK0MPXlRdsbbsYKs+48gkJZvKjeefJYGv8GrfgqxfcDMeGCTwK7eZodAZs+9JPelEA6NcOUXzzmSQR3Uod2MCnuLE3xQfPPqHz8UnihceRikgdNggUjx4SlHCy5DSV4r+zQHUHqMFfnWSddFD0em/+saGx1Y9xg06yZB38s/wMS8vQrIkw3haNMwpvDI3KVr06z8DgAww8Ckp9Fsc8QgsI0LauOkfI6HKyQh5n+ofmi3UrleYL/Cjn6K38dY//XbsT97cqdcVbTBSyLT5YJzkV6jy4jv8eAcePvrKBoDBoY6NjPKCt+ihWX+UjwPF/YJk6jt5g9OGJ1kDQx+98uC0CDA+lE0F4+tkjPw8IgD0gcWKUU4PeGdM1mIGrwU5oLMHHN2lvv7hpzmGNpvm9wXKIkO/kluLrM2CcrjoNmUBmz3mmXlvQfujWc7h/8Cal/SfMTdG+qyP+GWht0FmUMCvPe0exvKhN33XP/ImGE9G3YcgPpSC20aYLNgYaYdBpg755HCiXy2YDEL9MHfwsLCY89aolyfDvDF/yD35JNtV7kREOX7QN9ZB/SPr6jC+tWstxAtrJG9j0A7kiXyYS4wh8PDhFz1vXaWvzDtt0yNOm6tce1UOXxuM3buSQb/Di8eMJrTJs3FFM9o5oRjqZDlVZo+xcrWBvJD34o1rl9Y1fEUL/cmRpJxRa93TlvHUL8YhvWXs9BXt+kEv4o0+kj9jRQeSWXJINmeENP9dLml1bXi0caO8G0t6hD5AEwOUvoDTXEBXwA49rugZB/OaM0OhDYG0TZd5Iq8C+CfkpYW3fhc8nqR44YM+8Aw2PNd3Bjkek08GNn6hg15ia5BjZfpKl+pTOQ/gIz/mvnp0Gx1q44bH1gvrqDWM/CBOv8wdutq6iZfGiYNWOdlAow0HHDZ79D1Z0h4dAR49bDHtmmfmg3XMWk5uzRvzwGZPGdxt4NBhyNJ7Noz6y4A3/vpLR8KjzaoHD+PY2k6e0WcM5atPZnjQ6St80lcyRQ9VORtTOZk1j81h9asNMR6opz45cu1F/lQwX6wv5M6YmsP4ZX3VR3aW8UErXluX2EHsCHjZado3PziR2GnWsymZnWp/5byWkeNKFJxFGLEY5cciOs+gLVgGC0HSwVJer0shgaBIdNpOhiCZLHZ0jO2ADIwZA2KAq9wOlWGCSWBWCRhFAPyynwdB23ZbJpSBHePQB5NrnO/dxEG3wWHoyWO8gKckLTaMGkLKEwxGO3CCbQOlRyHhi4liINVxlGmTwVinBClUwoUfPMXq4ZF6FHnhlI9X8uHjXSXoLT6KyOKPTm2YiCYl3lOyNmHGkqI3dgwbO+xqo2L40curZBMgn5fDztNkrF2+/lsoTTAeKbAUIPgKvIn6qk/yKGbjYpJQkCacyY2n6EEnuApT9bWnPhjjQyHJU5/RYdPhxIhxoQyPwCq3kXMXlJzYTVNIJhoFZywYDxSABRS/LUh4T6ZMTDBwVcBb/XMVQJ7+2SgWffpo8TCXTGDzisxS4hYzMuC6l7ExD3gUpOEaB/NMf+VbxKX1k7LFfx4kCgS+VwaIHCRa60Gj8bEpMi76gqdoGyPSNvrJBR6B0VcygIcMXbTxUCjn+bKQz+vfFH6eTLw3XsoZbOJaRPC3+ot2ZW1oy+Xb3OkTzxF4PDN2jAjjYl7Qi/in3Jw0vuqoPw7GFS46gJFmTtS8ZXTQh+rUeJFz71NBH/GHvqlyCz9+kd3Kmxe39ekBRhpPGJrMP/KOn+SuyvFWOZzotVhbqBjgDBEGsTmpf2DaYJHDN44f+sb4MhrRbIHFe23RNzYaZJR8tDg2TeMJg9PYkXPtM1ytR/pjzIzfIvzmIBk2furTcYxDuNVlvCi35ik3huRP/+gteoM+pV/wh1OBUUV/Vrvkh/FFfvCL8WUem2PwcUDBh1/amyo3h5QXzorRa32FW9uC8bB+2jhykhhP8mSMrK3WmapvLWHMmJuVtyjWR/KCbnCcEOQKH21EjLH5hB5l4nZNNf709ItT2Tww18y5vM4e846O1Q4YY4A285uBayxmgCv+Ry8ZI3XhNh/Q4AQL7jEa8PS2tR48BxF9Loxhp97hNAZkRB/IFR2Nfv02h8krvWiDY9PL1jCO8OEd3hon8gUf+VCfXmcA2/Bbl+FjrKvDIUoO4VgWjIm5QS7gtPk0342fMrjNY3iMIZ1iDnvXHmMUnH4pJ9PtGIITyJzNDPnwTodYe/WJ3NGLZF1ZG/SLjqYz5KPPFRz84rwir2gyx81LNg/6BTYqe8aarJx9BFabcFXQLtvTyULRV2XjGD14wsGn39YF/DAfjYcNvU0WOHqAfHGAF684iqyF9C0emz/wjNs58juBnYeEEcW4phztNjDKQLadJ3CUl04UHp3SccRTHJRWlVHuhNw7D43OMXC1JTBkdHQRXeq2wcJpB8mrxGhoy6bS2iUYo7LZq/5omwE3y8h/6DHBDAihJVgMeLTznrX9C/jBY4HRJxl4pL4jbXmCSUwgtEdhEVrGk10pAcVzi4D6AnwmiHThI4xwCRYIExo+NOMJw9RibidoF29BYuAzXC0ylAulql/wVij8JmzliRnr+m3z4d1YGlNp9GlXn7xXAKtf+IZOStpkUm7S2UVbBExur9BfWAAAEABJREFUysHYtPSM61NseKS+gP/alRak0SDgOWNLfgWKXL53Hgy40MPIMQHxRZtgePLQLFgM8VZQtwJY3ofqH2UCZ5WL8agUCp7Jw2OKmWJAszwBLF5Kj4NFGv/QYwG4egDIM/4lObRtVDvy1wnqUcKO7HmVzXceN4viGI/5QnHpM5oEVxuKfv1j2Fg0qu6i/hVMxcYQPeZf5ZkrFgNl8vSZDIDzPg7Kyb12lalnQ0ou0GsOeFcm2KyZR9UH9auu8nHQbsGKvRsTMmzT69qWdvTBBkn+GEe9a0f/6h2sjSlaLU6VPy/WdtXXB3PV4qd9gZdaG/BW+ZShYl4aU6eqFkn9mmrT+NvM0bvwq+cqVsGTHXODjFjkGB70tfan8K2Tpw1tqmP8nRBY3PXX3DCm47kKtg3kU//wpPKljbl3/XOiWmPIMOC11LY+WOfQ4FqIRZ0BggdkSn3B3BakyZ5NaM1hhp3TE/ja8mqvyoseMG0w3oI8sXaMK51k7J3OoAeN1nLzEN3gBX0lL/Pwg2mDuvrKYIWTLiUj8q0xHBVOQPAV/80Dhq1+0wv4px55IQfj8YEHLKeAOVttMzzRaDzAVP6ymByYO4xzOp4tw5Btcbc4zNEWntOHoTYPvq07lcZvAZ+VG6NKGyfBuqFMUM72wAP91Gf2lHFVrv8MfRtifMRz3nxlqwY40SBWR9paZCwEGww8gN/6X+MLFn2CNJnVN33wPg7wlr2izIaP/UgebRZslPRRWQU4bah48p1ykX8OUXW1Q66Uw4E+67N+wEPXmoNoKnzScNa72LrulIfjhT6yrsFtzkjjBbgK8OuLWJAGo03jxC7m7EKPfjmxUAaWjWezY33mracX2DjKCv/WYoO3CBmvK4YSGAYK47CFpwgImrLKJ3AMeUJqEtrpVlkxzTumYDbvKYVaweLVbg7Azgt2/Y7BGYJ2YfDNg5VPCHiOLC4GTl4b9AcOeCtffyzwBssg8JIQeLtMd6n0tWDnxSYAPjlWq36KGdIUIwHjpaBM3AlzjMkzZjc7hRM+dI7xwQFf1YGHAeh4T5rH1JhQUrwceOFo0SSoOmJjo7/gvVewycBDfam8ZTFPiwXdkRrDjpfEIlD1KC+nIeix6zWOJm+VV31eN/XJR1vfgmEiFrzxssiSW7RSRlUmtpvWNzyEh+dDP53s8MpR3PqPv+TeOFXAX4oOngr6YxGnnMC57gVvlS+K0cngoRQKDv1T85I3x3zkJTBeNmQ8qeiEpxQMPPiBL9JTwfjpY5WpO4Z3XUibPBgWcCc8lFTVEVtoKETeB30XjB2DB4/JmnHQJ/ACHaA96WWBhxSMhV8smLdkul0o5K8a0MywsVlGr8Dp4NTQ/EYz/hSNxgLN474Pw+IW8c69TptA46UNi5k2Ftf8UKk69I2rDuj+UMnylD6QDeOmjxXoLnqmynlyp7A5JrZYuvJkzkz1H03mDwOj8Ourq0s1PnSzk1P8tpiVXE21edQ8Cyme2XxaF9p1aQq3saYjjG+VSxtz7/rHyWKOt/1zBUz/LNLk3YJuo4RPdAb+qj8O8/A5/SDryq0r4/aqfIxv3jvdZuxdN6Izi3b0TW3e5uEZ59N/5EHghGAg4w+ZNu74jf9OBJwcO5mnH8ia34+pU7Rw2uirutWONL7SbTYjlW+dZJThEZjKXxZr18mF9Z5xyPhlnM/DMYbnNFgEv6z9ReXWGQEPC47e1lc80N/Kr5h8MOQ5noqPdKE78XAV3KaxOYpP9LexIi/W5Hn8WrUdMkgmyAL5YHhb5+fh5ZjFB84PNLAf6B/j58QcPv1Ho7WXES3YBI7X0tLjRStby5rkNAMN7B84rGFO+tgh2ir4RbHx4Fy0QUePYDzoH+PBMWhDSceaDzYi8hfh3LislNY8BHbSjAeGGCXA8GphvRMuxx8Yq4y30ELmOIF3x11CBi+l5/6rSQ/OwMBN4SiXR5i0Rai9LwoWeIsNpUVxm3jgKWN3m9yvMnDyKvDgECrKEl3Vjt0TIcF4OzY7+OqPtA2JfsLn6JkSYkhr2z3ZVoCqrTY2OR25OebTljL0u/+GXu8EAz8Zi3ZvBNlxk7JxgI/3psVHORY+vGaE6QMaTSK4KQ5Gp37jl35YzMaKQ56NhKs2RS+jglffhk7dMU3z3tGgPbJk8lLwlDV4E9VmTjmcNhfabulR34SUP65fONxXMzbw8cLgtf4ypBw329GDNWFtDuyYbdzIg8lIFixEdRLCEOU9c+/O5FaXcvGjxLHRiz7zCH3g2v55XxTwhMfS5ooiMA9cayNv43r6Z1NJaRlTBpL+WriNrwXLcT15YnxTMOga4/HutynoJV8tPCWmHYqnxp0smvvkUx2yTmHBY9PNQGMgFs02W2jTtv5py2ZNuf6RUQa5+ssC3DanvBrqg6dryAEvoFjeOgE+iwEa9ZfRQM7NDXiczth8kCPleEQ34JPyVQO8NV42Tgw++g3OVXHQAeYCg3nVOgVHl5FzOsICKt8CxmNqvlW5a2ZVTjfYsKPReDPAwDFQ6RQ42mBsGa74U2NqM0sGjL+NtLmlPQutMTO3yA/nArlo8W2apk9s9skmuo0xuvDdPNceuR7jt6jrHz4bLzrUKaK+4IH+oZt8KJdHbhhT+mds4DCHzUGweIiecVvep/DRSYWPvFsXzb9qry2HY5XAQWDtpUvKMUW+zb115Nh8R4f1XLt0lHd9NveMrTmNL96tS/QFXtC/7j3jhXE3b8kfWJsg67zxgrcCfpJ17dBfYI0dnUof41/BrhKjiSzAZz20YSd/8+oWPP3QwstXxzpE1tkscMpbKzTANpLWG3zRR0X0HH46ubCxkNcGvMVjNgl5Rg/ZpaPIYwsLTp61Dx/bsnlpfTIm9LY+WzvpsFXrz8NLnxrzWrvQa60a46UnONVKB5EhssQAxi+2mbW+bEhw1jr19NfGEm/oKjqNDWh9bttxwun3BGRXgM9JtE2b9V57+j6vL22+eU/fWL/xjW2Afs5BbZqHZFYbaCbD83Bbb+lbOlPdtp2V0gZ7GaC/UmBCEDyKsYVnVDgSwUzKw3GDY0PGNcbyLmOORYXXUx5ccGCCH+TY+bkioi5PN4OOgQJmXtCeyWYgLQhoVF9gbNtQUKoYPMbBKPcrf0pbWh30muSExg8dKKzqD2Pdj0VcMSEcjpXt5nhfeWhcEzHBx+207/jEc+M+rDvc2nS/n9fKgmOAKRBK0q5UIMi8WJRwi0u68LkDW/jsKu0E4ePB0HfGrLbQ7zqTMbTQ6rdAeTgW1y68FShVtNr4FH7XdRzb2s0uG5/CIzYBjan20WKimZjKeJQt/mgRKCanCJSJckF9m46qb2FRT5lApkwAk5EnFM02iXik39rmEdU2nhtfR636qL6Fxpgaf8apPHX99RMbl+q/K1Vkddx3XlMLEP5og/Jo6YNvXtCOHwRb5Gye/B7DXJmqz1AwVo4ItWNjZbz1w4aELOARuWWI4ueY1qKD0aBvrmmBZ0yAh8siop7+asfVNzy2OccrPCAbfmAOlmLkeUA/eMfsFBiZ1j86gHJTbjHVP4ZW0bIoVt/c5BFUH35Gm+tqNhiL6s4rwzNOAHMZPnME/ZS8OhZMR7t+jK0cv7VNPpSvGhiJPFwcGGSEh5wOwZdVcFgA6TDybxFcpU4LY6NqLllQSv55eB2dG98qp/OMrb4ymmoOwGWBdNUKf4yrvDYo5xW0OJNBOGwWnMrqp3nOELa5FhhodD79zdvG0Nto4WqJSNrYMETQgNeudBhjOtRcZyCRO3q/bQ8PXCejgxhQ9Bt4/EY/Y9b6Zj7BbY4wcOBVLjD89c38Ny/oEsaeNSSkHXrotTE+PC98yuknOrraa8sPIVvwYl7qP9ku/WWukyXrw4Kqh4qMp82t9dWJsblBx0rjs3lZcx0veFyt79YvwRrklMa6Y82ERz1rIbk0vw81mJean/56jvbZBske6EnjJb1OQL8xpfPwgo5bVL+F59Vv4dlLNlcMNobbIjzLyowDDy7ZrfnHmDPf9Lttt3DZ6NGHjEfyKjBerRf4X3Bi89zpGl1G7zLq5S8K7BG6gu43Tja3JZuL6i0ro1vpCTrEXHGCRm7GffROH/lDHtonv5x8bEdzUb7NaPGLbWYdoM/IknWBHWX9dxVaXLpoGY2blFvH/HEAOs5YWEvZVHS/8WDj4il7lFxPjVO1y1lo88u+qby1YsI5rmCi2TUbAGUMKceojAXMpigIIYWFwXYn7itSYowCHiidAkf4DBxjSycpPB0zSHArZwzw+qrLS6vTGGHi8ioxujEFfAUTgUKhSHlU1a1AGVpATTgKo+pUbNAZfryJFhf1GOSUp/4x0jG1+gOPxVw9/bYbtCiDpWgsdISt8IsZPOqZGN4FipqhyZuqTYs7AYAHDgadcgpXcCRDORpkxhRDlxDDJcDHOG3x2fl9YBgGvGfYGTeeaIsVQxG/GRj6LRgLwgbeROElqA3bGL9+M3ApH+1T6saNkendeDkRsZB6r2AyarP46S4/flNY5MfmDy0CxWQxMP7L6uMRpWOx4+Vz2oKP+kkhqI82Gy504jmjkoKrcjDoUO7X7dV3+TY4DFYeb3Xt4i3mxkt5BTx1NIk/4CxelJZNBBhH0vqMP96NJT5VuXcGkPr4769K8BCYV+ArkHnXQ2q8KTL1/JUJmzcbPzLEELAQmjcUP14yYIQWF8PFRhE8Gh01gtcOubVB1R+GjE02ecAf3j484a01JywaDDMGHXhjYUHUrvb0E++U23yTWfAMA+VtoGvwweJf+fDjh/rwU5wWBHSCsXk338mS93FQzjAvuUUzJU/2zQ3zikGnf+oqN595YJWjFT8ZxhYNMBVsVIxltc24pVcYLehzLQqv0I0Gc54xZ76ZE8YbT+GjX3mTyL93J0JoI69tu9qoPhWPwavPOHay512wqKCb3KOBXudcqXrK9Y+XTLk0eaR3GT5weCcLdBMeGkN6oGhyJ5rs1PiQpVq0zCGbJnw0v9XVvn6aN/Rq0aItQRvmk6BMO+YEXhWf6Wp32W0uwZhbYLQjMLjcnVfXRhv95IqxBF47gjRZMmboB2dMncCVDOu/DaT2zAVz2SKurnw6xjjTR3QJHWFNshmz0Dv5wI9qb4yPvix8cJoD+F/tteVwVGAsGzd8lEenoZ/RDo/1W9raa2xt/rVd+stazBg3HuqTQ3OLrNd6a/zoRTjILz1DfkuebI441ciKtnmLGY74gB/mkTZ4kDmBai7gCUPZ+Gi7DdpmH7AjjCW5cQrO+ANnntpg0zNT9ck0mjkh8IFsoNl8tkmDw9h6Z0MYG/A2YovgraHWA8aivpmHcLXB/HH6QYbl02PWJwand23R2fqnLRtncl5rozXMphMPwLNljJs+eTd22rZ+kg+6m/5XDh+YCvptbbUm0p9kzBhbN6wVdJA6bBjrFf7qE3xFj82/8QVjXLVH3rUBl3kDF7rkVWCnWFNrfhonOKxPZHnDIG8AABAASURBVBGP2HpkSl9tYOgG9hojXpvgjD9dV/1DI11vLitnp1kn9UPb0uYk+ul3MschYg0qGHBtoKdtAugw6bYMP+gva5Z1AQ6yjnaOCv1CrzEip+wtzoqSM3yhh4wBuvEcfn32G0bz3JyyNju1tdbR39oBt1aYMubXQtCBt8IBk9yEJ1AMHwYCZWXRooC30khHci454DoXb6IdP6V4LpmwZ53muWZgWOwp+OMn/+RaYAwxGh1tMzBOruXtt8QZ4/qXTRK9zXBgqPIEl0G3/VZ3E6N1ivHPcMQLBqeNHSOO4bObVK9Hlc2cEyAGWhlm62Ho0J0DF3PAhtd8sXHn/LwYYoWcbsyvwKQTALHbtSO286w/T8aQt4vmiTgBEnoTZ5QDjA1H/rwfTm7OaDfPVLd4asx/nrHyRp+VDvI68dwx8qT3uV+8+jxxPNL0tqsMvHw89WMv3z73cxXabTp5XHkr8YKBwqPpuo9Tg1Vw7DoMb7QTze4UGYZh1wdrz+hzy8Cp3MY6sRvzuzPijmYc4zG6BNdFHPPsDoWdkn3kgGsbrpG4I3/eDIx9HC80O9J1zc5fK/J+lgKPtWtcTiP3vV8WXga9+9x0ttjVCgbtvvdtE/pd2cEDvBBcsyHLm+DaxTquD9lkn9fx3cUxOQs0ceL6M9mu32zcn27Mb8y6XvFkONBb6RzoHOgc6BzoHOgc6BzoHJjHgW7Mz+NMz+8c6BzoHOgc2D8OdIo7BzoHOgfOGQe6MX/OBrx3t3Ogc6BzoHOgc6BzoHOgc+CDHDgL/3dj/iyMYu9D50DnQOdA50DnQOdA50DnwLnkQDfmz+Ww906fDgd6q50DnQOdA50DnQOdA50D2+XAeTTmfbjCxzZ8yGK73Dxb2PyZNR9e8MW1s9Wz3emND8v4MJCPg21Clb9H7uMnPjDkzxlugmOdOtrx4RDtjuuZTz6a4YMd9Mr4fQzvvfpfnzNfhB/8toMvVPo4TbW/bfwngc+fRfRxFZ9LP4n2TqoNesdH5Hy9dZM2j1p/nTZ9qp0ckad16i2HXQ5h3vtIFT0wNS+XY9gvCLrSB5w+bkOy8Yuewa8P3xDHaVczznigH3St+KT644Nv2va9iEV8uFQKvyLBPEy08WOMfNDNB/euGixHxRcUZ/MhCGezZ/N75QMfvvDXhWI+j5T4QIYv5G2qNOHoYTEHLpHiByX4Wl6itR/GsK9a+hIf43ltBGtW8PEpH7bwd+vHVc0nfxf9zimggL37qnC9J/uiR/8fmNzqP4XtC5tT+AO29afa94XLrSM/IYQ2Ij4wZ75u0qSPlfhzghV8MdaCvQmubdbxcR5/qtfXXDfBe9T667RJfsixsVin3jZgreE+VEUPnNS82Qbdm+BgiPv6rL4yYDfBQU/Sl3DsK7/Q7eu7+sGw95Eu/fmoTRiyRh38Z1hry3cEFlX9yhRa245iP2jP2vDtwaVdG3vjl9fZo+/WJH8GlVMM/Kzgwn9gbQDQgUfWJGsMeJvvZfDm1gVUux8VsbtP6WYU8iI+JVV5mROd2HPJtORve2s/yf50DhwLB3yMhbH8pGA/7b997G/k3j10/HBC/zpimHBMzy2D1+K2rYWb94y385eD9xcSLJ6+3PnxSffnYg7YADJmGFJjY+Bi6OPP+UCaMHb0wP9Ouj+LOUBP/lJA8OssfMdFf554oT++4ZDksT2+q+DDg3dJC29MOO7H/HKTwnryqDRmnbPmJTl7GPOM8nvm7b4JPpCY6OChI78lb9+awNjnZOIcAM9pNIb3fq/AFvxe2cfbJtaRLwY6brQYCBguOJbxbncUfh08GGz3pkwAW4VgeVjgVQavAa53edIF38ZgGfG8JhYrA6VuwainvrbbNsGAVSagoepI2xXziKo3LgeHpxT+5fKifXDagrPa0QY8QsBmDz7oqzIZ8BTPtAOH/HGw+1QPDPiqj0b59S72rg9waM9YoQmN6uOZsjbAP1UOf9tei18d/dWGutL6o44+i+Vrs+gZtwkOHm2A866NglNWOPTLe1umzXH7ytFRZd6FysMLbWhLm8KYJ2C1p0xo6dcvuI2VsnFdbYFRhvaWZmXqGRM0eBfDhy7v6noHB4e2fY2QEqdowWgTXPUB/6q+8jH98MApX3kFtKFRuf56V4amjxiGocrQIF/7aPnbvEgnmnzQBqf6LV0tMBjl4Ap/lXuvMuVjHMvK4VYPjupT4W5j/AADVsDXKlcPz9aVL/Xwr8YPXrzVVuE2/m1b2jCWYLTJI8YrScfIr3rwGms4wYGvskWxsXp3AF6V4AuET07MC8YhkeQAr3bgFVralOuTPiirUO239fQZvGDMwOgbHkuj1zsc8owj2DZUORh8asukq3xefTACODDw4Bl65AvS8pTpl/7LF6TV+5y8fHoCGPKU5OzRh6rb9lchvOAFeMHKHwf5+Aa+cOmrfLBi79pFC1z/lAJzj2Gf5KB/YOAAo03wyvDa+5g+4ypfUFc74MEJ2lEGX+FSjifonRovZdWeulUPXdogO9VHbcBXYR49VS6GH57CW3nowQPlRbd29Im8/30AW37ldVAHjeP+KRP0Dy50gSl6vasnVB54Qftt/8HAod/Kq035VReN+qQ97RQ8noETtKm+MNUfsHCI9Vudwq+OAIf8NrR8LBh4BHDK358CvGs/BiYfrWD0Sb+FgM4eafn6Ij3LvPCfd2XqCviFB4rBu0KmXD/GfQDDiWQze+m8sPXgS3L2XCb/66cPudUHE20MOHjp0Cl4fG/hg2I/nmLatqj9oSD6rQTH6z+X2BfT7Jhum7QrG7+e+EcSDHyi4RPzHy/QUxM/NkG5nVGV3yZ5cDjC/Pmkb5zASPbpW7vrX837zySMj4VNFscqcLm79dDA2IkRSn2+bN7R9ZjEvkZ4x8QGPdFwtWEY0IoeX2HUJ4KU7EE/npmEnZt2n5v0DyZUeZKDRfDeSXx+Ag+ao+JbJ/20hK9N8BDan0xCG2hNcrjRMAzPSahFGuzT8w7GAosmApusg0ddPLEzB+ersXUa4CrRHwbSRibRoM3fG4bBNaNEw3Xyn/b0/ZFJ/2aCPhV8XgeT6FZJ/GwC+h+dmDGRaFDvD5IoePifl/ebJ7g3jU/flzSa8N7G5vZ5f0YC/mgLPJiWfyke1Ndn3hNwJh88fuugHF23ToK8yEcb/hnbZA94rz/kULmxrjvFYvwiW/gHnjfSF1Lhl/7pZPICkEvjVH1M9uAer7HAb33UBqWj7E75j+fiwYnJqyPAJA8ebTvy0xa68LBVUK46UEyFD/xvpzZvQqLhm/LfixIekgD/1yf2lUXtUtx5HdBD5n4gL2h8dmJjSOEmOfAomjvap7TelExj0M4h84Ssk384jD8PCEVpHO+WOvLU/+6k0Wv+GCdzrdpK0aFHf/Cm+k8e2v4DNn94+Au/az3wK1Nf/9RHlzEmI/PKjc+4HO/U1//bBSm6Ex169P/rkqP/+GxMHM065k328MX573cSyDU85nldsTA/yK76+BWwgXFsLtNdZOzhwzCQQX3AM0e/xbMnpMxVl3r/qrzTUxYf88aYXzN55qxx1wbDhYzAa2zpRfdaA7b2Q8e8L7XKA/aFSZuD6DXPjF/1NUWDeadNXv3nD8Pw+gRj5vcT9LY+4p/Y2KZ4+JL8Rxfhn3r6xUB2dYA8y6O7jYP+BXxwL73KzU200OPKhLZcfR459ZW1ga6hO+gyY2uO3zQAFnF8dPLx+LyjV/iCpOuBD63mgrlrjbvehUJyZBytTb7mSC6qvwwUc5c8GV9tGtfq2wUUs4j8oM26SA/9YnL11wkK+M/Mu7Ewz/STPrFG4VvNA2NCb/BAmkd0ANm4SeqCJf/6VvR9WvLJsDztCX6HgSfGG81o0h6dbdxq3lpftXGt4EBfooPH1S/zBt5fG4YBDWSHrOIRHYNf1gS4ix4bpfsEi3poEchhsg495ghdB7bowT/0XDeQ10lAOzzGw5ULY2zekB+ygObLB85JOjgycfe8K0t08NwsKZtd9gtarXPmCp1tvuOpccHLgM4e99iNHXmiL/4iueDVu2LSNT/MV3Nc/xmg5hO+a4d9YT28a+Ctd/LowGqH3ucp15+ym3ih8ZR+xR/19A3+oBmMmf7iq7n5umSy28Yyyc6hY42b+vSO39GRX/Sn2szesQagC8z3JxP+RLMHf3nXjYNT25JRhdZrMkKX4ZExAocO48SGwWe6zJprbqqjbhvenBcnBdYl8zCvg7X9Fkm8PeGvE9qn4PG0hWcbTcG3dXc2PcWYoxJrwaXULWaElVJitGO0SUTREDZCSMFR+hZVxquBYwCZiEWbBfTPQ5RFzIQx0QyOu54mmEE3COKAzR5HTxZJE+EtyaF4KSDHavAyPE0Yyo1S1KZ2AjooZ9ygp+ilvJUJFtU/TUKb35yYAr9S4nr+MgkCbRNi8SFQBNWEoZBTPOARbwrD3QSjNC346vCyUqR44jgXHRYb8BYosHAIJu89krCogJMmxMla6aFUADJsTRxK1tjIExh4FCalazwpEHDGTvmigMcmvLp4/44LwPj3yqTxz2TCPzvkZB16LFqMcorKWL8rpZQLehgD8pTdOPmO4ODD17zOHu3Dq2+Mi3fOcofhPYlfmMAgIzP4hfdkirJFE3kjG+SL8tFW9Zn3y91w/Ca/YjIclLMHj3g58Yu8zjLzn7bILhqVMbDJqY1Jild+4H9FoNFGEfPM5PXgoZx4MyxKaGOIMTiMpb6QEbKvTF/JJfnEX0goX/3Rf/MG3H1SwOOujMzZsJiP5rS5Q1kHZOGj/4wLizna9V+Fcf/hNz4tfout+uSf0WdM0UVf3DBILNLkYlxOJsbl5EL7DDpzfdy+PPNAG+SNvjL/zDvv4jQ5mLs2fuDMc95t+bxWL00CD/GLfJG1tyXPHCADYrTrg0X1G1NmEU809+FRog8smBZnfXtYoI0/mvAVbnyzsBlz7Qdk4aO/+EdXw4dWNNFjeErGyZs5QG7JkQ2h+WCs6EgLuXlItl6d1hg1PHclgxZhawDjomjCP3JDPzAwLeA2yvpFZ5qD5DXoBm3hV5WjhSOBccDArnKGRtW3YKtf7cEjkCMyjxb8Z9DgmU0qHkozXpTZVLX1rR90OycIGHOEEQUvOSJb+EEm6HXGpPHnICJHZB6fGHjg8E/dcUALA86GRl9fEgDw5naSg82BOWFszEEbKHKgrAJ+kxltkttrp0DfjLM8613NATxkzKENDIMGjL6TLTqbEYonjExz0OZJuQ2VGE/HNDCIbTbUw28yySAEz2BHo37hFwOwNgToYUQWPWQRPWQ13Th49I+RbJNMnuCVBkCX09MMT+NkrZY/DuQBj3mcxWTPhmUM592Y/k0SYBid9Kf1AM/oCBtg8myc9MF85fCDl1OBDmCwcqCQFeu2PuobnU0P6CO5rfE1dso4J42XOWgjDH9ImfvgJ/miw9FkzMwx44leMiQ2X2wyySSet2OIFpsjsqHlIlkOAAAQAElEQVR/4Mbl9Bz6rMX6SRe0RFnHzSNrPjvAqUiVGzN8sUnSL3JiY0Rf4DUD3ibHeOi7DSV+V/2K2UboZ4ehlxyQS5spG1njUrBi8OY9eHwaw5MFcHsVDNa2CWYU8B461mCcWrgIA0VISbw1DTJoBILMeyYv2YNyCyGhI9DyTEowGExoGNa8EPAxMAg2Y6yEW51FgQH18gC8NoFg/nFieeV95ak36ZI9iAW0ehfQarOif4w2igZdyuYFwsOLyWtOgE0yPKq6lBrDQD+NiZ0o45JnHU4TgFKwySF88gQLJmVUygCtDCFlqwT8sxhRiha/16SSRSTR7DF2jAe8Ro/J7IctxasZ0Jz/3N/kIWE8tyDaQSP+MRLIiwnfwkijjVdB/eq/jQajxyRV1yIGjzEkL+04aJ8h+17ImuBYzvgxJPCcR8emAT7jzAPEq2HMKG6GK55YrKEhH2RSmizgUcsP/eMV0w6YCuTT4q5M33g/8XZMX8HPixk5FjBjNgWDHwwdBp1yipJBYfFAg0BOyPwbAkCRkcckZ4+FyBwzFy06Mm2IGWkUqTqMC/XhJhetTIKfCtq1mKNdn/XfYibdwsNPBxR+RjL8jA9GOF2C5+qgyzxmjJILC8KzUjAut4k2xxihxk+bfxc47YuTPHj0n5zh88su5IJhwFnQbKZkmxM8SnB5r0BPWXx4dG1myaVFgy5kwJA1c5lMq4Ovxge8900CWTU30SRYOC1qq+CiAzknGCdkhzFEhukWBoB3PLcgGmtj7nSBoc8gEJsPxst8pL8YcXQXPYsGPPqzJIxRotljfuIf3uK5MTLvbLqVMcKMPfoYjsaOF7fKzSN60pyt+jY5Vd7WnzV44T9z7wVJ4xPcZFwMhz7Tz4wJeFsZSJWFj37YxOAT+TOunDL0hr5Zp+Azb81PcmSMzL8xYnPDeNgYGls6yDgwqsGSMc4q44F2eeOgf3iAHnoKXxg89C2dyvgufMYNTXBpzxw0X9BGJsgrePOfHJNpmz5ya+01/mgZ02Culx7CE3jNY3D4hR59sQ5ae+hebZKVlh70FT3qVkAPOaO/8Nqmzvyiu/QXrxnInDraNwb6WPXFcOAR3cy4RQ+cNT/BVNBHJwp4ZC5bjzls9IWMW7+1T/6tK2iuMaeryJcNI3zG1JqDHjKJv+VcQwPeaE+f8MUaB4cyuojcwjMvoIeMgMcP8mis2AtoMMfNM85D88wmHe9bfGijS9BKDtoyaeXWObrLnPHOJrK+SOO7DT1aOQq0pV4Fa7C133w0BnQI/YI+OmZMT9Wbio2t9Zqe0EcbA/2iw9EyrgMe31t4/KazpuDH9XfuneI9TqIILyEQtGPimGDShJTAm7jeK5i4FCtFIQ8OAiNtV2lht7hQSALvO4FVvkowUIRGDL7S2iM8BJ5AwU0ovYOrAF7wrj/6Rni8zwvaKuXE4LRIUgiMIp5pCwcFTpDQoP8UHNyF04TEMzyoPJOD0FIeaDbZ4YejYBbF+iGA0Re8tjh7F4xV8d47PqMNr7wvCvBRFmMY7QnywejjFP/km+DgBLSgTf/RwNNSCxPeUgzgKsA91b5yi4rx5VWmcClRvMdfY0NZKhd49YsH+GpDRsEps0gy9OGsgIdorfeKGQnaKlzy9RGd0qsG+Fsc43pkDX/FyqTFxoxxIJA53j+bQIs+foAR9BF/yVvVlV9BXtEs9j41fgVfMYPMpqflzVT/4YNXPbF346IN+sLCUH0DQ+bRSzaUWzzbcouWcm0LLe8utA/NQaj+m/tTeNABGG14J90GdSzMjAGnAowXgXyRXW0ag6pDRi0q6K+8dWNtwqtepfHM+7IA3qJnsXciiT8WZjxDk0WVI4K8C04/yCA+MZjoLUYNHcbDqt/GwHgzuNUB56RRnaLHuBb/bArMDfqlLQfjneyih/GPV3ByQuAdnIzLRfXhqKBPTjCMLzw2EAwz5XDzANIB1iVhnsENvg3kocZAGo/QbI0V1+mWNvGT5xHtLY5K63er++Aynq3s6XvBL4vhE2ruGXM4qx7+udKDNgaNEw95ysEaF33ybizpPacN5ptrEgzNMT36Zi2yxsHL4Lf5gkNAT9GgDbThkzJtO21VDz1ObuQpGwdGurF0KmPjZJOBHvXIJRnjvAHD2208WhzGzFUgjh+eYHPTtUy4WjhpsMYFvcaC0en6HLlBq/r6AVaedYK3mnxxXKrHgFeurs2Oenjq5AnPlOE1+0AaTxja+OVdkBak5wU40Ktcu3hN9o2ljZM1wJppfnNqGSd1wLdBf9Rt8yoNrw2M0yqnRPrMM69v+kI3L5pD6NFPPIALXvqDXaMMDnmrBHqIF95JAa88h7DNPXxT9W3A6KcWnkNkHvwUjp3KGwv2SRJn0TAAhKlt124OQ0sQ2zJ1TF5HdRYLwQLtqMbgtLCbpOHi/eERtjiYhHbpm+Aa17FrRKMFnvFN2dgdaocCYnQQahOKMNu0UBiFhxeFIiH8lSemCPCD54bXxDEevoCrCQIOLkF61QCeAVLwFKr2jNs28BfeqdgCbkJXGeWKZ5QtBWOcGKT6Klh0eRAKflFsHJwO8BTzmlFWPEgUnXGwUMEpGB/H3WRS2rUsyl+afNj5L2qryowt3jFcKk//LNL1ro1Ki5Xjg/Q2gkWBjFPeZNzccwSLrsJPZswz8rbNtil6my8e+mrLQtX2v/KnYrJP7izIrZLn7cU3xsRUOcPMfCI74/bxd9x+zT8bvLYdC4R20DFFX5unr7xNrlaQLwaFhU0MJ+O+4MmDxU+ZPP0wBtICGk9KT6OBp5F3EU3mA6+9kxpzQWC02+CClbZJ5RVlaOMRXazMbxPwm9FqnjLO2n7pWwXjQwbpxcqjd+gf79YCc9SVDHShQyALNnfGZVF9OAS8d7Jo3vPIwSHNOFUuOOlxMmMdogtcL3GqpWyTQJ7oK9dbWtoZugy7KZ4Yb+Ne7ZkndJY+Vt62Yu24LlL6jI5wLQJPp9owtpwn1iyybfwZrWPjEm+dVNh0kRMnEU6spnC2eeix2cIrayB6bITm0WO+OMkrenjpbUzRY65ydtERTuycVKCFHLRtShsfPHAtxQmcvk3BgR2GYTCm9A2jGK36K3YFh67xbk2ib13Jgo9Bb6Nrzlu/pOkC88O6PSUL5iCbhwxU23RWzY3KWzWGB19t4DlCjbUrJxykU+2vgtcJAB5bN8U2xOYv/pv3+ICnY5rJkvHG9+I1ecIfZevS47cH6pJnPCJ75t+8Pozh3fhYBD8Pz07kUxqnRQhhsjNi3BJodLg+YeEw8QymvDbwVjvGMUFNWmUmsV3YVF8oAAJEIYBdFhgaJqEjKsqA55bSXVZvXM4YsvgwiKqM0iE8jvMYgSaoSS/trqDFnoJQjxfPBCivL0Xozhxhw4PCaTFz543gopkSo2DQjk8mCMNNv8DBWXVXiSknHnCLGQVAGdmJm6QUOGPPomcCUWJgVsG7Cozx9WMzyteYuPOpbYaSUwhHj4wOuNDpCobNhvdlgXFAxvRL/5wG2WzxRvNSk8nCxRNPEZMvfEQXXuMxY80x4bL2lBt/HiIyRXmj2Y/OKC/lguNs72TCIqBc35VtI6DZnCBDPFU2GLyp6Cn8ZBd/yZbrIfKNMbk13t43CfpvMWdEmY/6ZyHR31Xw2cS501n11XG9xobEppjhRT4YZ/CPy+mbcft+z0MGwFaweNrA6zPc8o2xsXb1gYEqb1EgX7xC6LBZ4qknM+a4TSO6zRk4zH3wvInezX3ziPyRA+ND7pQJ+EgmbG69Lwv6x8C24acPlsHbnBoTmxlGLj2Fp0WD3xPwZpkPFj76hjyZOwxOXn10W6CNGZ1GBzmKn9c+nnNE0C/0LaPeHWv8U0cbNkeMeeX6gD79YjTMq48G9cFXMH8ZCfioD/SKuajceJv79Cl5oU/NF/1ULhgr7enjGLfycaAr8dQmAh+U02mufzCsvI8D2dD/kgN1zUn8HcMe9d2cJk/6qV90gXV4Hm144YooXeKHj/SIMKaD19740dd4xnNuszeGG7/jfdGDdzaDi+hBB8eMMbXJRItg7cVD8qFvNqXmIPi2TfPM2mqN1TdzVH28gLOFbdP0AOcRzztdpsx6ba7oA1w2qeaPuWF94b2mS8qAJWPmh3VMgGMc2ANotw65tmfemye86mPYVd71iY7Xtn6iD25hFXlu29BPBrzbC+aS0xf6rRx92rJhdZ3RbzvovbYNG3HyYXzxxFjRh3jl9ED9tr1lafrGhteYWCuM96I6xlAoeOvhIvidLjMAp0WgScXr4Q4rI8agu2PtyMZxickwpo2QmLAmu4mkjuNb3pSpgWdwwm3n6H6yRWKMs30njLyudqxwM2bgbmFWSRNGhjtjgaKhLNSz+6XgKEwTnZKx0FPydul4oh88DXjj6A8dDE/l8ihGuASLqM0MA0BgdPrBjMVP3+247fhdGwEPRrxqMKFsOIyRwGvnx5LohJ/nxbsy41UGyar4F8HhDXyOvvDQOw8H5ac9x8L6hj/oQhMFvAhnW2ZcHS0aC22oS778pQAKVxncjj8Z+MaFUtauH3UpszjZCLR456WN24+mkMJhVDqetZlt6xsnBoSjfxu3cXmqH/kxB/DTD4sEfbWhYUBAbhzJqXH1Q1n9xHfGjzIwmwT995cgzA395zWhcIu3y3Cq7/ifTKqPLt5gR/A2SRY95cZ1XjlYCl659hncFh9jW+1LK3fH0xzWDvlg4MvTTsEuio2jecyYps8soOriAUNDGdwWZnJhMwKfDQlD0VUM8m0syIwyAW2MBxsY/WkXR+XjYFxtRFyHGJdNvTNmLPQ2neYDfcxIKXrpMrTikwA/Wi3YdKwTQl44nkdOF0aoj1qZO+Cn2jR33a3FJ/0V9Bl/wJvzfpTLs6pMPplk4JML9bVtvigX1Kej2jal0YoWd58Z2YxWsNqh/xkT9KRA/+s/3aNcoFvJjd9nqG+zJX9eQJu2zDVzHu30pnlAHqbqmWvkh16jhxj1+k+GpuCPksdgNtdtkoyVNZgjDQ3z8Bp/dJELP8IHP4ZlVFmrOSTgZczrkzEYw7bvZI7cmyPq+dEj/PJbuDaNHvaAzZg5C96Y0m3mrbEkizZ/+N7SoP/e3VE3Nvrv+ot6bRvjtHp+0En+zEl1OZ8Y3sYcTptJ+cZeYKyqw+5iY5gn+siTrA/qjNuhc+lJ/bImaMuahb4p+HH98bs6NjD0oDmDLuNCl9ggLNMnLT79xGt/AMBabf3CX7SWbIOxnpEx+pOtU22gwQ+qOXD1x4beVSyn38avbWuVNBnBK2sqXaLtRfWMIdsKPJ2xDH4RrlMvI1TbJIIh6YiSwoPXwms3SaC9UxA8fBS/dzshQm0BsDPlDaMoGVbKTWQKww7Su0Do7XDBqsMQYdQSUuVtgEc5xcBDRikz1tz7NJBgGRO8MZSBicmA5pWEm+eBEiD0YB0Z2YlW/6o/FiLlFeDhxXPkxJNFmSvj6UILHJVJiwAAEABJREFUj4EdqYnqL0DgkUUGjIBudQg+Oiwq6DZRlFcwkfAcj8BQmPqDFxZACxFvvF23ieSvQRStJhjlZ+GGT5sMC8rGu3I7aYumY3RjZOLps3L4/Vq/8IPjQXJnzsTWb4oHbAVXO3gIjYM8uNxrxCvvbcBDE9NmBX/8JZTqv7Gj2OTjj3ZbBUJ52+0z8lqcbRrv9cEJBgWMZ8rxj6wU78mKhUk5mhgpJR/uGJMPC4G6FlxeS0aB93FAv7FXnwKzuPPkFJ+MgWNecjNV7k6mfpF3uPEPP7WLNnmOpMktXN4tFmgUM0DIDEOWoaPvvGzGkCcNvIC/DGWbFfzVBl4aY8ZcjR9cPOX+AoE60uYbo8O7vtU7vNV/iwY9QcbUgVs5/ObiGD+DQbn6DAT10UUHUNraq3Lyu6jc5l+59ukaRiujUP0KFgWGlCs62jFPGOE17xm2jGMLUNUZx+QLXfhssSA/YGw2eGVLvsg/o7DGz+Ye3/TNfDYOaC4d2JbjBcPUhlNfhmEYLEj0qzxtkkU610bHOxraYF7RIZwL8i2i5IQjAry54dQND/CCfIFR5rSPDqer9FNwBcNmBG/IsTrqC+aVemTOyZp56l27vM6MfnrGgk4P0yEcMVVOzpXDSQ4ZIfhc5Ywp5W39kh0wgrls/dAfpwWMTf01RmhgWJU+5bW33hSN6mvP5o43Un36lPyYrzUv6RVXRfzlL3XNUxvj4oeTZEaEsYJzHORbD+htcuK3LbyY4NCj7xw1cIMlI+ZozRt9RlvRw/ta8q4OudRPJx3q0wN0qH6TFfwho3QIOHfIzXXtC3Doo/vQZBdP5LcBXmNH1xkvMmZTySHFwVZ6DC700BPaVY8cWWfRY36gEz3miE2sDZc1ptqDAz3mRtGD59ZMbcNjLSMv4MgRfpnPcNJDHGFgrTf+HLH6hV9sjaIPbP69C/jqCqa5qq7rJTbD6DGH3QqwNrB/8Nh65gTABlg/yCra1PPjW7zGU3WNITzawXtrr/bpHTYTXqJTf6zt+kN+wcNd6xAc+Gtd4R03N7VJHtGF14xwnnHrgPoVGPi81ua7PLjoW/zHS+8McOuL/gvmMJuCHYAGaXKEfnOu6sFHbugAdgf7BV02OGgiBzYE1gSnffCo0wZ4bST8GWY6Gz5621yEF6wNA/1Jho0pmcA/65M28Bl8yRN4ego82YBjL8K2jfm96HQnsnMgHKAYTWKGSBkyyT7TDyOKV4RxQIEy+ChrHs1aCM40A06wc4wY8sXwO6vyxYhlBFhsyRPj3uaIZ5OhdILs7k2dIAcYhDZaDCHGzwk2PdnUrtGDSMYhncpQNzdsGG1o6FobSjCnEThEbHoY4Oj6H8MwcFjZtDPMGehD/7d/HOjG/P6N2XmgmDeRB9wVn+Pqr105b4EF6bja2DW8FpjyuFoAXddwpMlLwwuya/TuMz28OrzhTpD2uR+LaLf4O52yQSRPrj+aU67D6P+iur1smgNOOpwE89BOQ5x+Lg+o0x9B+rQpQoPrMa6MSJ82Pdp3AuekgcfY3HC9lifd6TSvMJjTCDZfdD7PtVMCv1d0iuZUy22B06Cpt7kFDnRjfgtM7ChW4sA6QI7UGEEUzzr11oH1GwTK/zjbWIeek4J13cYxsys7giNZG5uTav+8tOM4noHBO3eW+8ygL3kSux7S5WnzEXdVxnWMula1Oabjq+n6jms+x+lsWYf6ose6sU6944Z1ZZMBT88KrsLtgtOE0e4aDJoE99nlHTc/Ov5j5EA35o+RuR1150DnQOdA58CmHOj1Ogc6BzoHOgdW4UA35lfhUofpHOgc6BzoHOgc6BzoHOgc2F0OnGPKujF/jge/d71zoHOgc6BzoHOgc6BzoHNgvznQjfn9Hr9O/elwoLfaOdA50DnQOdA50DnQObATHDhpY157PqLi4wnLGOAvJPi4gSC9DH4b5T4g4guBJ9XeNmhehKP47e/dLoLbdpk/V4eP2t8E91Hrb9LmPtfxJT789jXHcT+q7CRkQFu+pimsMsfHtC569wVSfTQ3Sz6kF9UZl4GHwzwfl/X3YTBf8eeosvJvwkx6u/12QbKO9dEm2smJ9LE2tj7yXqNzoHOgc+D4OEB5j7H7Epy/Pe0DAFPGga+P+WCBD1qsq/T9KTx/PcMHKsbtjt8t2D4c4oMYU4YB2tCAVuGrg4AyT7Tx42/C+pCPr2RujGSHKvoCnb/57IMYJ0UWmSIfPuL0yRs0qr6/gau+P+e1AYpzV8UHbHwIyhcPx533oQ4f0vB3oY/TyDEf/S1lf4njx0IEmrbVnvnv4yBkwgdXfGBFmmMgTa38MPTwwlc7bTxWrnhOAOl2313wYZqjdNkY+fOKPgS0LRlYRo8Nmj8z60N55GUZfC/vHOgc6BzYXQ6sSRnDaVzl6smgFH80MeM70aHHV8p82c2HBk7S83KIiLz4IMvNEluALpXY18182ctCktf+nBIHfHTC37D1Z+r8mTVk8NRa2H2oyftxBF+vs5CvuoEA78txq8IfB80ngdPf7Pfn0fyZNGNzXG0ylH310hcxGcu+BLqt9vzNcn+qlEz54uGmffAlRLzwsaP+5xM35eJu1Lt0yPCFytrw+5N/xtamlrykuD+dA50DnQPngwNTxryPLjDGeKd9prjlhI+C+Nwzb+9RFtUW56Zpn0d+YCpT4D7562+GXz/vPoSQqD+nxAEGHMPRCYfPJyPDkbtPkB/n2FjUnaxcQoMrhHXhV0C5kyC++Gcs/C3mKQK3lUc3+ADJ+7aFsMFDJ70o7/pxFEONwQfHq4OLnCbqz55ygBPntqG9TmfIhVOFvlELU/rTOdA5cL44MGXM44APVvjoCS98wTgudbxtQfThmVoMGf3fk0rvSvDRhjcl/tIE9VzDuUfSPswDp+sX8pM1e5TfMynlvnzHq+K4NFlLH/DaK0DK3AaDh5AHz8dLpgy7z04FmxF1fdCFN7E9ctc+L/JbA1fl6MzrIL55Eu9IqPqu9zjNeEnyXC1INHu+JP8zpL48sT6L3560vFcmvmoCniY69IC1YXpFcrXx5sTakH+XpJ2a+Fob+v4h72h1xSHJGX3K8BO/bW7UUzYOTjJcebpdCsDC5Yt1n5t3/IHjR5LW50QDvvjABJrw/gnJdK3J6Y0PUDgVscHyWWgbLDguGZgrJDjJcbWKIUWubpo8+IxT4fPhCrKUooUPehjt8KjrQxx3Sg1fMfWlPUbfC/PumphTGtcqwOkPT57rWzdOOXibi4K/cvJ+OsE1kaKDwfDS5F0twVh5f37S8L0+8ZUSFj3qXCUAvryqDv44RTK+2jEffLyKAfygwMGPV/jLw43+ZA/GV3+0CY9yY/ORCkfBFYM7Jg/drsyRyd/Oe9sHXyG8ZfJenOBjIc9JXBt3bd0k769L0JYvGPpioQ0z3if7oueayTEO+OlanLlHjtDvOgw8+O/kpHCQ0+emHvklf/+YtHH9wsTyW3h9wh8yNe7zZQKvf2jG77wOl89/ZPuLErcPesDeOZk158nt/fNOnn0Ex5c39afmDRl+XMrNW/2g69DzBckzN+UZD30j08kebFyflcQNEsAYX+3YQOIHeB+UKng8/6rA6rN2fIhpTHuKJx/jWzKpHQZu9e1bU8NXOn2lle7B47ZcP1xfIgP0CZ2EllQ79Mhr6fPFSP0vIOV4hn7rgC9MtrrXtbmXBZh8JBps7vGBDBiztj5+mr+uh9EvdIY8uhjv8exWQfKkBKdq9K6xNhefnTxtm+NJDmJrWOlr/USn9pRr/9FJGBsnWPhHBot/KerPxRzoOZ0DnQO7xoFasMZ0WbxrgbdYKme0MSoZR3V9glK8VwoZAl+c2B1txvH9kqZcHbffImkLjsXJHXcLWrJmBopyxrFyCzB61K0FH9y8oO3/lkKGIWPu9km7NvGaxIwnBgHjPq+HHsqcEkdrpd0nLiCLCDoYI+6aw83oouAthPrLGFNfuUXcgm8xgA8etF0jCQsYw52hyGDQX7AMI4YzHAE79FjALFLXTa7y70qMp46VkxwYZTzelx2G4RsSXHeysGoTD9DK8DMeYOEI2OSDLuPL4NZPd50fHEgGPt5aNC3EyRrg+t1hGODDG1dn7pB3j8WZMYUe/GNcyBcYha5DWXBvmAxXbWxIGPeMs8JHLgpfwOY+V0oJmhjk6roO9trk2WgaAxtJ42kzRLZsQMDJxx+G1lMvwPNWywdvnJI99/nIlDD4npEYPuOjXl7nPjYFZJKMqMOAZtyrgA/6QfavlwzjxtBkXOmjjQl6GTsM3B8PjLkBzxWTNv7kwrjn9eDx+xF9JKcMtIOCJkEGGS3ahIfB+Y0pJ+PmsnFgZBsTcutrjwweG/mAXfSg29i+MyU2nOaFeQgnutGMVwwrOiRgs0ff6RVzXxkD97tTQme4RmfD2cKn6KLnr5LDuYCv5q1A18i3+Unxwqdk9xGB0l+bKP03B/EDHxn5nAD6gadoMoeVqYNn+qIP6gTVgK9k1FzEG3MDn8xnefpsnqHXxt+4XysVjTs54+TgmEjWwkdf0Ys2MqkefVCV4HRShn76B43oJTfGmJ4gb+Y72TGvq66Y/NHbRZ/NqI0wvWNOKFdXOf1HT9F7ZFT9ZWFcXz9sQsgFOXD6Ko8zRL7+2Pib28ZY23SJzX3blv7pq7Giu+DAH3MIv7UrwOekxsaXDiS/9GGLq6c7BzoHOgd2mgMWknkEOq5kHPlRmwWK0cPQZMxXHcfqDAfGGVj5PCW8KLzVDCxlFkDeFUYN7wg4x/KMRd7QKufhpXBnCwqgJQE9FlPeGoaEhQ1eV254cRi9YxSPSgZDL9FgkUO3hc67IA8dvFgMPEaovrtjzQCykMkHK8Yni4PNA6OM94+BwEiGh2eTYcLjxxPKIOK5dDwMBp428G6px5skn6fbKYjFzTs8vFo2KoxmcH74aGE1Vsp4OhkgeMALqN5UMCYPSwEabYCMG8+q+gxdbTM8AjLwNPKSScOprIwGfSIXaFO+SuCZHuNjtC6rawFmaDEYySUeCFP1/IAar5XxTKLZBsb7ukG7DARjzVBzAkV2F+FRhzyQH+PH6OR5VwevGfo2xm9JBp7beNiYmCNoZWjxLvKYgnGNIKADI0ba5oBhLs/G4QFJkIGHJOaZJzdJXvTYrPuBIhnRPlh46ANGj3mjPfXJhXlGpi9CtCQDf8wPYMV/mz18kUf+nBKghwHodMiYkT38wAMbR7DzAlptChnTNQ+k0a1sXr3KJ7tksXQCWTLO+MlwNXY8vvikzpPz3+USbBRs7PCIN9qdfpsv+ijFg/Fl4KpHVvTJZlk93nd9YyQbX7qSbsCD9w/DYNOsL0JeFz487zXvyI65aUNQlcicuauf8JIteptckh9yRIfQn/dJJfon0cFDtxZ9TgyMlU0JnYk+c1A/GMToV07nSx8gWZDQf44P/Kg65JE+JRv4ojp51L9VNwnGwWYJLXQ6HPBLM+71S54rpUlZstEAABAASURBVMbXyS5db9zMBWU9dA50DnQO7AUHLN7zCKXUnplC3juGLM+IhY4BkOzZY8HjPaJoZxn5z4/MLG6UvUUFnmTPHoreouKF8cnAseBZCARHpI5+BTCLgh+w/VYAeNQYQY7hGT2858me+1iALGDac8WCh7QFdtTKqKg8aRsEBg161asysQWGYW6hs0jycon1waKEx46ceekcT6vvSgLDFQ/gaAN43qLnJRMsI7ldXBjxQooHvLT4GwNtaHcev8EvCsYNLsYHOIubvksLFl3eSDRZABkCjB5lxoJh5m6z91UCfMat8PHCFb5F9cEzEnkVGWCOyRkmU3X8QNtxvDp+kMk4noJbJY9haDNHDiz+xse8WFQXL78tADYeZI28GqdkHXqMo7lRY4ef2mMo4ok6jFv5VZEnktxV323IwNsgMs5a2KpTsTLteVdHmiwyshmdDHfeSe/mPQOwaFNn1QCnzS/+mwuMbDin6qOB/JXMkT/8m4Jt89DPEBTbTDPieFkZbqvIIxjt4gm80uYgI9VY4z9+KhO80wd0njblCYx0TogaD3kV5o2vcu0YX55mzgG8siHHf/wDsyjYnNqMqOd6Cs94C29et/oCLeYFWumLlsdkSHlbv/qLPtfEtIM+Gxr0mcf0E75VPTi0W++L4uq/62ZjOLy0+dUm+Vm2sWvrq6uPjPcaJ7Fxw2/9Ao9O9ErjkzT+eO+hc6BzoHNgLzhg0ZpHqEXOca9yR8SOZp+YF/mJZo8F0OLMUzrLyH+uyPDu8RAxAEpppmj2d4zBS1OscLnfy1snWIgsTgwXMKsGeHj3LQiOry0wU3UZKTySDDGGhT/BxnPVwqJPqDxpnjTGFQPDZqDKxAw6+a4qMOjh1RcbGgEM+hzfM+CVodH9aJ4y5W3gefqOZLjWYGPgmBjuZC18LMo2IvP4vbDykkIbE5suCzie6SODWr+XVJ0shs89Xh7uwscoXwWfxdfJBXl0xcrRvhOI8rRVgwwNGyGeRnwXeN6qfCoet2/sBbDklVxqD808mbyHreyDa4Nx55nmuVTP5tbmghHewi1Ka9c8Iy/tfGVAVZn6aHdFigfcnGLMyF83mCPuNuOxEwAnEcbKfF4Hlw2m38DAgfdOzTgD0LwOnlVgzTNzzzUR7eA7I26Vuotg4CFXjPcWznjgf8mGMjyTr473VQN+qMMpQffRD+YZudKnRXhsNnj7eZ+doBkr15sW1akyunlVfYFGv2+hj9Bn3qLPhokBbI6BKdz4ItS7/lVarEyQFtTFP+kK5IfThe4r+XHqW+XLYm0aDxuWakts3OQvq9/LzwUHeic7B84GB1rjYKpHjFjHnO5h8sgzmFs4ipaXlrFS3gzeEx57hg5viiNUxgvjimHKKwIHbx/Pqh9pKpdngYBrGV0MVot2GdbgLTSMZAsMQ889SkYjvBUYRJQ7rybjRx3emyoXM84drauLHt5cdDLkGIP6YxEFywtqodFXvGK86KM+8BYyPLXDa2cBLHrxQj0xPG1g8OkPY9EiZ4FnYLUwU2mbDYu/I3H0WQzd1S3eTtVZNQ8ufeWZ40G1WeP9ROcqOPDAAupkAzx8Tm4KH28q3lhslS8K2mXsgMVX97nRAb96ZXiJwfHqMTjQb/zBCPLwF5x3gbFpTMgoGt1pL/6B46UmewxbHmfeSEYzGWHgowOeCtpTJt91LleYlNnwilcJ2jCu+EM21EGLUygnZ+RSnkAG3Mk2N/yGQbvy1wlkxxxyouDOOqPeJtsGmSFkvhr/ZTjRaD6aB7yd+G8+Lau3STn8eKEN98Jda3FStAmutg7ewmOu6r8ym216T1t0iTw6xNUN18ZspuStGugI12RskAsfmSJPJSfendbhZ4sXPFmll8m/a2/eW5h5adcInVa5Aki/aMNmyPi3dcif373ggfaUgbdxQJ+5TZ/Sucp52sG2J5684dpzbWlcXvitG+rDT86dZpm/2ja+0vSEcgHf6IAxvcoE4+B3X/qnb/Lwj/5wSuYUQl4PnQOdA50De8+BVRZ7x5wMeYqRQm47TaG612ix56nlXfrOADBqXSmRR3m7p+4eL2XMUxeQgeHB+8xoUl51LYyUNJh5QbljaNc+1BP8sIn3248b3ZV0fxjuFgeDirfWX7NQxxUixmkLY5PBi8oT5f6ufvxGACw6jDHXAIpeMLzrDAmLqWNuho6FmRFjoZP/nNS3scED7fpRl8Vwiv88a4wRPwQE64eDDM+gWPhY8IyFTRX6eGkZVMZuYcUVCvWZ98/CiKZvTx1GLmM4yaUPnjoN8aM5PLDwGwfGMXwMR/iWIgqADYHNpb4KjAYGPX67/uJ3GTz1+KDc9QBtMPLwKChmDwPD3V/wfuTJ0HD3Gr/IFf4xFLyrQI79PgROgYz56zg8nH7MrB2GPtgKNoSu5oAX1OdJtRkomGUxHvNI2jCiS1/8tSD04KU52OLABz8Q1C6jqi1bJe2ExybE5gGvbbr80JNxxVj0Gwu8WoYL39CJL2i+VSqYQ4mO5TFPXVPhOaarxvN6k0aNratgDHVzXz9sksxlv8WQZ1z10zx31W88HsvapSNcu7OxpS/h++FU4mmn55IcbKLg5iSoPPmMeA4GfzFMPb83WrV9OsW1RmOtXfidQpircFdAn98G2BTTK9oh9xwhaOEBxwt6y+kaftl48NYXDqck5Je8VnnNAfh54J2QFn6ngDbV+O06n9g1vNYApyPpXr87uW8aGm8U9c+Pr+kB/UO3uedKkk07ulOtP50DnQOdA/vPgSlj0g+5GGuOYPXQwuUuKgPdgsUg8lcneAAZ9wxY10L8VRFKl8HGuFLGsGA4M6wZAZSrxVAduJWrq1xdxoofa2nHosTI86Msihl8BQuAe5vK1GNU+ws1YvdbLTaMB4ZJ1RFb4BnSjBP1LGZ+pKtvym1cGPgWU/TamEjXAmfBQi8DUH14wFW5jYq/3OKvS/DmwykoB4+vYnS6woRHytvgzjLeFk8sVgxHhgpvsN8EMK7V0R9/gYFH0LsF119jQB+68Bs9jEHlbTBGvKy1qNroXDsAjKJEA/4zEowJfmsDT9EvT7t4YdHWL/0xbhZJC6YfA/JqwoVOho/rHzZI6CRntVDDpww+9W2O1HfaoX4b/LDRGOKhPhoDeeSVPKDZdTCeOW0aCzQXLxgT8JEN7YHHC7QaJ95o/IdbHcYonjBO/TlItMJBzv0Y0hxitKNB/+GuwLNrwwpePX20YbCxMS7KwRoDvwFwp947fmubkcKY1zYc+KwvxtfmlZEEnlySC2No3NClLScXPJt4oA9w4Sm5Rod3NDOmzB/zzF9qYlgxfBhA2mM02hjYtDOibIS02wb8dhrGMIUXHYxcGx2x/rgWZUyU23gzPskPPOozmp30eWf40x0MMTrHXCUTnABkUdoYghXAO82iU4yFNuS3gTGIF/ij38rg1U99946XNou8zd7pIzLCEMUL8PijP8ZD38xVm28ee3UY2Prq+o93PDceNhno0h/6ssaX3sDvwke2yWTRZKNrzvMoqw+noD/ki9yjA23+gpCxVe5UhZzimXfw9EOV01H+4gt9Sd7RYI7rH/gK+gG3+aIdstjSp9xVLPQrwxvzxhijV7vq0xlT5VW/8JtnNhDwoFeb0k4OrD1wmu/GyV+4MZ5w4LFNSfGNHOCN/sFhHOkfmzR9c+XSGlP8wWPz0Pgp76FzoHOgc2AvOMAQGRNK0TEoa7GjGC3mFB1YitTixGhmeAkUqUVUsNhbrMAKDBH5DAtK3aLdGrHaUy4wEuBTTzuME7RIy2uDxdvxtHpCtas+euCqPrT1tM3AUYcBpx9oAMOw0KZ8P2wFU4peuQBGvqB9Rot8QdsWdKHNV9bSywhDh/xx0Ne2/eI1g1jbxkI76okZhBY27wLDAG34rQ5+j/sAjgGJZ8UjY8aAMUbK0YEXxs97lcONt3iMd+obI/jUAcvIQiej1LtAfvAdz9A7Dx/YqfryBe3pEzoENFS7aJCnX/gtaE8eOAFv4RHG8PJa/qmvreJfwcPn9xn65xQGnxnixgOONhQ+dfAEjLEnI+YWWHi0o9/e9Qff8dW7oA38g0dMFuQLyuAufN7xAD59UFZ90Ba8ytQVjIex1i5544133cxJmmtCTpHwjWHFaMMH9dqgbXINV+Vru/jP0G75b+NE3ownePXJbCt/ZFu76MJH/cA/81W66qrPw+ykh8E8RR8YddXDOzjlwVtteMc7Y1HzF7/Qge8C/hRc6QjjgSb5AlknH2TcOxzale9d29rFD++CdgsfPhYfeMttshmsxhRsG7SrfbThKZzVjnfjqt/qiPWtyuUZF3Xx3hiAr7aVV0AfOMG4ea8yMXlShhb8hFf7yoRVy+HAO7RMyU+LU7rgweIxvuKvNgXjBUaoPsoX1DcX8MU7eRrzR34PnQN7wIFO4nnmwJQxf5750fveObAuB3hNeYoZBuvW3UV4H0hyfcFVJV5UnlqeTcYQbyxv5y7S7VqQqxxOZXaRvk1pclWQYewKWWukboqv1+sc6BzoHOgcOGMc6Mb8GRvQk+hOb+MQB/yWwLUiXr1DBXv6woPvaovrZ4LrO04dXNVy5aw81rvWPdcBXenhmd412o5Cj02ivyXPq3wUPL1u50DnQOdA58AZ5UA35s/owPZudQ50DnQO7AgHOhmdA50DnQOdA8fIgW7MHyNzO+rOgc6BzoHOgc6BzoHOgc6BdTjQYdflQDfm1+VYh+8c6BzoHOgc6BzoHOgc6BzoHNgRDnRjfkcGopNxOhzorXYOdA50DnQOdA50DnQO7DMHujG/z6PXae8c6BzoHOgcOEkO9LY6BzoHOgd2jgP7ZMyj9T+Eg77ol2j46PznC6e+QpjksT2+tKmdj1jSgnJfzETnEtClxXD4k4f+dra2V+kjGHV8tVRaaN+XNtoBFnLgY1LajsX4PcVbeUrefIhqKwi3iIRcmoOr0Eb+LpG2PzZBOtG5efTX3PNnJXex03RoK8tHpVF/zQfjLX1UfMvq+zrsNulf1t665dumD0/No6Py1/yFw/iv26eC990DawxclbdOfNT6q7SFX/ppHFaBp8/otfEXvKsuPLssb0XnScTsHLy1Tk21h/d0Aftsqnzbeeu2h266+cO3Tch8fCdTMjUhr5ym/Um6CjfKu84nOtWHMvuNUPANCQbiXomfknAUxZTqSx8f0NHONQJJcBJNPl+VXF8OpBSS3PjRxhVS25cOfyKxLxKu0keTzJ+w8yVHymn8HlT92ZAD5O2+qUsOjMX4PUVbez43mHwg6L8nJguJdubxESlf5rzKChRZtP3N9wcGljwmOvRYOL8iOaVnbpj0lPH7hcn/uoSCu17SdEGi2WOuKMe3KX75+/O+HPpfAq3cony1pD8x4bge/fDnPc1dbR5XO5vgxXc6lIxZdDfBMa5jPvxAMmt+JHlsD/p95VZb26J/m8Siz7cZ8LeV06O0gb++ivuEIGFYJtp96oG5AAAQAElEQVToYYSh66apjc5Eaz1k2fyzLn3yWjU/CKz+9ZNUny5J8lgehiRe3SHYp2ycZB966LNfT84lE9CY6OBh/MGDb9sazwPke5bAm6uGZrygd5O86GF3fHdyrZebyFiqrvVozzdRvjO1jFWihc9lUurL1D6GqD95PRvPlKCb6D6R/anpoh34LRPfO4EiSLQTj7/pzbBnuPpS4HES5YuC2nl1GjmJj7YYk/+atnyl0d/49rn2qS8yBqQ/R+AAI88C6fRjXTTk73+lErko+fusvDNcN8GXqgePL3DC68upa8nbAYb9SFwzZH5tAh1jYbc593fsLcTJPnjonzvnjfEA9vZJey9D7gZ5f1ICY3LK0KHLlFuQzS2b8/sF/vIJ5/H5QDr9wgQy9v7E/dl9DtA3ZPgnQ+qufuchpO3FwyC/XSj9ooRVjDnz5TmBNV/+OfF5fqxHPh748DBhH77nYRP8NaHVBnTKoZSis/NY3Ma9MWBvTKbdy6MS+wrk1RNfLmFXHhPs5SHGbvr/JD7O531Brp23JT6Jx+7SRkq/9PMk2jyPbfDM3iId3+TUybj8QeqSC+OU5HAUfOpX8JEgG9V9UJZF8yYx/jHA6RhGymODhCNhvBnC69ekTDnYZybt1IKHPcmBofOCJGzOxjrKmFi0n5/yGqckz/VDv78uHCBjtRHNa392mAMl4z5Ot0053uEuHxtpTla/Mth5aBMtfegfjrw+Xz7IKs4mvHjPB193+n8nAzzwTnfZVTtN7FGJmzLmxzgpfwJdu1jXSCy+PNZ/HWBpRx1JDna9PJbvygujhOLhYXSszWv2kOQzUtT9paQttomGz8t/vjJ5l8RvSCAs/ymx43F43pq0YxQ4khzsuO6fxO8kVJ7d17PzzlNn8VfvoXmvHRm4R+Ydbe9OzMMB5uZJtw8Dw1c9fzWZf5ngCEc78OOBth3zvjZl+oJWXsO8Hjy8i7y+vkqJXwcFScDBi6sN9d+ZPFcXLptYmeP5+yTtKPxNib8roX0I6HWT8bIE9W287D5XGctUuejhFX10co0JfOgm+K4K1A5cmWNLpzOfHlh8xjdtgr1b8n4qgaLE79skzWCA7+lJayPRQE70jdzAicfqKGsDr+2zksG48+VL4/Rjef+MBB4qdR+fNE9togFPTFheA20qf3AKynurjHeFRwa/wFgYbZp+P3DPS7hSAnw1LmQEL/QnRYceMsCLTC60wcOMP45p4XtuoPFDW/LyOntcWVOu3VnGxH+fn7zfTrDgkAeyRW6d0qhLfl3nMmcCdtGDP+T+qSkhv3jiaNTp2tuTR27JsrEzHndKnnw8wWfzx5gmezZejkyNF1m8djLVSzR71K9yMHhnns0Kl/xnMRCAwUnP8HyJ5S0K9ErBifHZZptskQV18Q7P/j4vdBC4JOc+5N1mAc/05TGBrL44KfuVvH9pwp8kkA2biyrHr2tdyMdLXrzSbck+9Jg/ZNc4wkPflIz5gu0rA/2fE/DENaQXJ/0lCR78/r4kyDcaHXe388cpBDk3n9FBn14q8GRTe8aYPtMO2aWvUzyQe04bfX9LMpxcVN/Ud11KffQ+IOXoSLTw0SfXTdCJXvrdXFHpq/MfZww9mOTsIaPGX1/x8zrJ/ZsE+pEeNYfzuvC5R0rNHTxOcnAK80dJmHfkgWzQad+ePPTRzU9LGl+09b1J6xtY8w7NyuggOjbFh55xfbxV/xBQXjgMHpG4+EtOa9zoB7qCkaQtpyZfEFjjn2j2oFV9aw05lUn/GkMnVeb0e5PZtq8OfYf/8NLDNaYBnT1otV5/W97A6/eNk35cAroSDZfOf640GYdXJT2mTbl5r1wgO3AFdPa05WR7XH8GdOE/PEcnPhkPugWNZEM+p6L5p8w6Wf0hL/SWvtID9DaeX0B7EJmTZFkf1Sfr9B9ekw0y9seBhp/OhR/ukivzJMWDddAcQ+ebk+FUscYzr8OX5z99/W+J8RS89QZO7SR7sEaSa3y+9TAM1kv8+8OkzfuiyfXDVyTPGHJKmI9wJmv2gNOO9sDgj6tMrjlal9AnX5/YFPiporlJnugIbZMfV2OUw8+pQv71kf6k37Qltv7X+iPPNSWyAZZdZ17DoZ3PyX9kTN/IuLmnjWQPZJnsm5P6ph1rE2eNDZQ6YnOv+Camh+Vrz3rHkVPtwSsYD3rvW/LyHQnWrx9KrD6abeZ81ZxuogPwNcUzWwJ+NmS1T7bUU76zQafGxGEK5twkBRTGXRObrJhXgo1RV0w+4RfzcMpj2Fs8KVHKmBK84zAMjBsCZ8AYMgwnwuboe7jwj2K8TdKMGMqeEqCcCLb7sDzkjLmAzH0sguq7H8vgZQwyQAyECQkn750Fg0DeLZgIQ6KDh6H2ZXmzeGuPcOb14HE8f7O86bO+EJD2/hgF4K4sHmifgRTwg8ePZC0ahB89AgXO2LK4mlw2PegicIzGg8pJgIGDgGnfpkY/4EnxWo/xvGdqMI70Cz4TioIxoSwW8vDV+Fg4Ar7wMVYWT/eY1X1QoPHcGBhv40JuyACZMbnxPGCHHv0xsXlWKSf1eMIZE+ixQYCPvFogtIOv2qRoTM67B6N2Ew0UOXjyBAY+Ss67xcJ42DwyapRTyIxBylT9eYHX7P+yd98htj1JHcCvf4h/KKIoplVRMOecAwomzDmuCVYxxwUxY/6Z1px+GNaEWfmZw2JecwazK2ZkVVbdVUFYtj7D+w495/U5996ZO+/Nm1dwa87pVF1VXV1dXd13LmNgg2fyw2fz+qRqgDa6VK87C5wrIxxyTpG8Q4FhZYjpnfnGMNE/47fEQf/QbjPDqXlqVbAY00Pz+pFK008Gl1NnjjPQePa9EIsxmuFWjh/yZeDUo3uF4szoue6iL+XG0wLKeM7GU5sRjAu565/+ko058LSxUr2ToY2usVGXjRCJJ+sqPvs8q/5aLDndeKzkjsws2nTmmTL2ALthU01m9NPc4wzpX1Nz3NzELzAObCQbyp6QG31Fq0XCfEpb7QGZkg+9MyfYKZEjc5k8nlyVOLkWd+XsAOdDnnLjZj6Qt+82cX7IbpS3MoszOh4tfOa3RVTaGHNgzIUqOvugiewFIMwZc4djwAGBF702BtrjE83mDr7PEEz+KONIsE10iSwEZOiehRw/NnLkRUZoIAMbEbRzDjhybDc7atOCDro96e48i/MBPwdCJjycFPziRXs2nY6xeXTK1bjHVWXjT1b6tDaxu9Y8ZeYzu4vWqnr+Wba3xmg/1tMvnYWTfI0b55tjKI9j74REPt3zvSfOtffzjlZe6Ds7SF/pOnvHbtMVa4/5JG3c6ZZxWEE1zWafyR29ZKoP40lXNCBPjizHRzk5WecFY9CgXPuUk5f2nLhRRnABtta1Urxz3Ok2XOpaV8x/9kgZexQnz3ykL3wO85IOmb/awRtgd9lNgQ62iw3klAtWWt/oYPCTGz9kicN4PqEQyqdL1iIOc2RSRTvy4mj6Hp161jLXZp0mZl6Z9zYObKbrbsaSftB1Gwz00D1rFr30brOOP30E2AnOqk2+OsZIGRvCf7JmyCd3umbOGRt1zA9jxGbQFzIxfvIEzwQM8Whd4BOY19qNQKfgNdfZXkEQawE5mTP0wyms8bCOo4OMg0tf7ImgJd7YJz6B8SSPz6vOjDvcZKk//CqXJ6jCZumvqp5/BAasyQIrfAP9s9HWa0EFtpssjAO85EQu7Dx+bGzwLthCZ7yfI7+JLxHokjaCwTBmTVK7YgsioyCPo8kYWySUGSAGU13OijveIuzPKMSUrR47hlpd7xxzEUODLg1Eyu3S4OT4MAycSYZA34wcI6zuGnBY7PL0rx1jrA8G3sBzbGw27Mb0Y4Fa4jKxKR8+DPyy3MAzoOiDF06RXfVMVgsWpaSEFkH5Izhx4GjYreLZRCYbsgNj3dm7xUlkL84MOYo6mvyz+lt5JjkHTRTcWKnrehW6bXY4N/KMtX4YLuktIB/8kQ89slHhfHECLWocDLIXRTER9c/ALXHSEQstIyjaAmwWGerQwwjpgzGHk+MGD6ONdkaAEZJHziY2R0p6BnTMhlMZfHimP9LHAl21CWYk8Megkx+H4/+PRMYwWYzJjP5yFvHF+CxRcVKMnYWCXtBPYyBiSbctNOY93bc5QyOZwiOqo50F1HiRHz0lM3OGASV7dc0Bzi7jbeFSTn4WWguUOvuAIWfw0aUPRh7esR19Yg/YI3VFqcyvZT38GXcOAecQHXSDk08OI87ZO90B6opikRPnNXXND44GfbTgkBXH2hhwcMmQk0rPnDiJsMGV9p4WBI4XmRpHeIyNhZxjpy0ZwutLgjYpokvGFL+cCHpg7ouUc0TwOcpbAEXEDS79wc2OohsNNgfaj7SRMZlatNlac8eYau+kCL3ac1roHn7RC98MOKocNzxkHaBnnCW2Ae2PVUNfauYEod9iK3KJVzyxGeRJ959SdTn1bDhaKzn92DDoz4JPB+i4MWWX6RqHmSNp407nnMSIjpKFsTCGFnN9AONvvMjLOKg3drxsLxCi77GOd7jYffIlx8d2ux0ZcCYjX3YdTewPGtkd7bRfA3SJopMRx0v/eCZPzpmAlI2/9hxYc9v7oWBNwY/1iS46AWO/vcPBpumPvshj88xP+mvOam/9N37KjU3aL2UJH33OvDEe6sOvjHysreQnXz/sqTnOsXcCI08//BNr/6wPuGYAvwAI/Pi0oYV/Ngbsp82FNc48Nj/YnuCFi8zQZSxtuumh8eVDWXeNuzlA5zjw1jv+hjRbR1/1TXfZRXlkw7aHr9gefoR5Kd8Y0Gl2kB2iF/Lhtc5zqNlRtFpTBSvpD59HW/NMv8A8p4dsAbuDPu0C5MBukJn+zV18s8XWOP4Mh9zVSH2wTeiwbtMPeLRho8k7fVpLzH9leDGX6VH6I/OxP/ZNXfgOATaObbKW6YudoWd0yZw3r9hlPOhfvnL0HYL/vtQhnGXHBp4yc+rskCiKRYTxplAMkP+0wnAAuxhOLQfaAicio56JwCGIATF4opXaMKZ2n4SU/gmOEKUpMqU3aNJA9AJ4XwPllEY5xaNkDJs8SmQxMTksUhQttKkfwL+FGz/JG5/ox4cdM4PBscavOug1wfRhYwGX/BEsdHBTpOQzBPhHa/LWnsZMBIKThhaGhGO3Vj/5jA+Dp42JY+fOyTR2JnXq5Smf86y+8VLfpEr52pNMTBS7fBsqDrsF25gy7o5A4QTkSC/AGj75ZGMMGTxpRpHRJl/yxocNyDihLWJkrW9t4Ih+Sc8AjZwOtJngJvas3iF59M/YWAwZPJE/GwSyP6T9WAcuzhl+AVmImh1iXOgaWUU25jPAq/HgtMKZ/sx98rQALeegfoMn7S2A5AVEktmJfeOpLzwx4hwiekYvzE8nEMoDxjp6pC6d4diS58i/+UTeojwWEFExCyjHPLi2nvQ9ds0Y2YSN+PFNlnCgiUzJCa/kxPZEjnSNjNUdwSJqHn5vNgJdPAAAEABJREFUZZIXEG0nM/O6snf0jkPHfooOs0Xy6bHxEjFjy7QVcUL3aEctVOyQNvQfDzZK0jPAF4dQnxxWvDuBwJf2FnPOkf6AeU33Qu8MJ5rYQGtDaLVJwacyY2/RZ4PNDw4EOlwpynx2DSBtjavFXL+z/pJH5nCwh/SXw2TRZ1fJjpMJJ1uhjfHg5OKL3PEq31xzrZPucLgs6AJWykZYaz/WwZcNL3tNvtZI66kxI191OfbRHWMH0KxsC+gcntWhc8aenpAzfvUVvOocC+RobTPvtYWLbIyfNP7paWymeWqDb5zoR9pro37amz/SS6AzTjmNByfUeNBf9cgxdGiPV/MPr+ZfytQd5SJ9CJBfcOAv+NN/cKDDFR2OtY0xH0KQynimjvacbv6PUwa6y65aR22ubUo5/BxocrK24pdu2tBqBxcn2sk/n4p+mgd4VgbQRk/4D7FN8smELM1lMpcHrM3qm9vSo5zwBQf9IQcnKmycjZo5lAi2dgG0k700nj3hMd76pd/mnDmGN5st89ragXb1jSVfifzhQ591wDymB+yEzYw2bAOd0m7szxyAR/4hoC0e1dUO3/Q8/TuRwbP+bUQFC/UfmrW797CnR8RvVWFkKK6jF8YR4wycoxxGGNhlOoYgEEpo0A2cXTaHnZJSHsco6pv8FjRRUoMw65+gLc4GL+VovawwTTTKbWKZUHaKdq12qsF/6NMEsJMWaTHojqocxRhsiuy+MiPnqol+l3jVoTggZRQ47ZO39tSvY1hHaKJITkpEzNbqJ5+hNTbGQITKTtsEQiPnKPU8LbiurFhkM15OTdQ3SemBesCYGBvvgHwYOQ6s6ICJABec2jJ8aADGg8PMydX2MgAnmYr4jfrCyKDTxD0ErwiKSJadukWEjBiSQ9qu1WFM8SbSzfl0MpUNyVqbe5VPNsbTxtYYpl9jIt9iw5EcZWqcU5fcAeNsLIG2nB6LUPAd8kSLDaVoHJ1jL9baoYuzY0EMLeqihTNuIUOTclFAuJVvgTaifhYK+u7Y1ib0kLZkxSaOddFFVss+1RFVFB0jL0BPHaMLPKjPwRURg9MctyDK1xaPbK15ry15i2KvOevacKw4dnCsAZ10dM3G20C4nuG6iLljQWNj9AfQ67ifs7OGD536dk0itNIzdkZ0TjvOjeACWVvwnYKx+Wlr05a2IsDacmiUaz8DZWTBeTJ/6S/baB0jK06COc3Z4LSYj/jLfOdwwwuPUzBOFJ4t6OwlHpQD7TlX1rple+UBuMiXTNkom1+bHFF68mUXrU2pzw4ZczYtecc+9Un+Tjv2tUXDWIfe0l95dJBDJ08aeE+5PqyngkvkRO70wxUF7ciQX6CNtmB8lw5YD10HhI88bcQ4dHhJndnTesMZHMv0Aca8U72jh16Zs3wf1zJd3+BwRi76smFEg6uE7Bndpkd0QMSeIw+PtcEJKIeevrvaSYfhoAN8FZFsMlZuM8+/UA6MgVsR9EgayNOWLR1pMo/kK1dvDfBoHeTDmJ8cWz6PIMnYBh46Amf68cS3esrNWafv0Q821pUgPp46I+hXG3rAJmhDh9klGwL9GGtP/WjrqT9P6atA+ndaEV8p/ZvraLsK/mttSwj7OqB0HD5OJCVzFENxOZ/aitRzzhk3i6LonIi+ATOxDYS6FInhNIicfoo2OgpwBUxQEUP31rSnqPpkkFPnmKf2FjWLO9pcF+AQXAYfPjiqlMeCJGrlPbxwSCxE7qGif0mnRYuhIzNtTHQOrcmvbFl/mWZAjJvJRvk4H+PkXtbfSnM0OVH6Jx91vePR+NgAGC8LqTz9ol3U27hIm+D4JGPttWN0yITjYmKqxwkzsTkGFit1TWyRCuXSlwEbQhtGdGSxtTgyoiK/jt5neOkY+cXREfGwGBkDZY7V0DdrO8tDx4hPHQuZCI1NHyfNcaB8c4WBowPS9wPMZfQ4Ko7+MJ7muSithdjcTzmaHd3beKJXufHk9GU8zXeO6L7xdMJjQTNmcKnvOgMZcfDIX/4MjDH7YZzIe6yDJs6iaDcna99JTNpyoBhtkSOOnnG3GaDDqbP25AyxiXSePcFbFoJlG3PNok7nM1/wDPRlDgqAiPbZkJhLrquwv+Y7Pac3HB+4yduiR37SS6D7FluyTX9oIz/9qS+f4ytP2sJt3PWJXg7HSK95QVZpr80SOK+cMkGf4PW0oSUf9cmZbbCx4azQpeQbO3yxdfLop6AJmqS3wBqj3Hd2HJWjX9qJDbtAtvTGvMcHfbEhM34cLXXH/tg7dsR8sb4pB2nPxmlvTUh75QHy5ZjqW78cVOOIF32z+2y4emRKFmRDF9UPnmOeeBZIMDfJXVtOmfntPUB3RWvRpn91bTKs1+rQVbjQZ51KOT1VTj/YODqlHP1sKJ/AO5sP0p7TafMJv3I4AuRJ362pkac1JuVrT3WNgT7MB3QIPlqvln3AwSHDt/5m5epsAR3QFzsIDx0zVsZzbEd2rlS6148m85B9Mg7a0wH12UA6pr65wf6ST8rMTX6CTanbEnRCPeX6xzu50mX8GEv2y2mSscSnuuQhsOafJxhTeWvAnlvT8cRPEp1HOx3RR9qhhf7SC/2zQ+YB/rTlCxkfOi2ND/OMDR/xBJ+xwY95z86oQ9e0R1P6wy9dSX/mV2QSXJ7qW0vM51m5OiNEnsYEP2P/cIx1b9w7YewjihGjSCahgRG5IVyOsWNvX5KjfBTSYNhVW/gBA+ruOGUWCbfQa2PnznlSf9Y/oVIg/TqetfvV56GL8xInR8ugjrSZ8KIkFH9ZfyttUH3RyMkDoLyOqfGvHdpFf9xbdcd2aUDxYOdnsSELYKOCTxMaji1gfBk8UTttLbSM/1abtTKLrqN6xhgv8LnHyoG30IqyyhO1w7fJIYLoTpxFWFmO47TRDyPni2DwAZPC8bKjQBF6eERQtRWh4piYNNpeBtDEcKHJJgpepwgmryiGcZ/hpVuMrTHypVpGw/Ug1zzgECk5Rq4MF3xOaWxkGSz9cpjNBeNmEyTP5si84KBI3w8gF98vEeXIXMa/SJAIEt6VGy/lTpwYc0adzEVmRaQYcuNMZvTkkPE03uaNNkB7ukAXRUBGebBRNhRoUVef5pfvqaBjrOtdtBWNHLA1+6LeCBYsp0kcZX340hZ9GOusvevD5seVBm391xF4LN7LNhZRV4pcAcKz+jb9HAR1nVpZmAQIOJ10xHU+zjh5u/rBYTQe2u6Td/pju9OfaLNFVX8gY+GaE5zsu00Ap5Mjhh/Rw7R3MrBPNnQHn/pHq7bsFZuvz4B/jMDxswnihBtP+mgMOaNpiyZOQNptPW160G9u2RTAZ96xV8rohvbe0WjThG/RUTJWRudi+9DOxrHZbIZyoD3ZpD27mfbKA+TLQXPyAxf7wGGxYVJfxH/sCx7XsMa+guvQJ1tsvlhP9AmcDJi/Iw5rFftE59hM+sYusPHqeeJbVBgO5XwAdCsng0d3u50TD+VO8a1r0Q/tRXQFcJSzs2lvrOEIOD1Rh901HvBkTU2d2dP8w4PNvXbG1HpqvVn2ob01z3x1jc74mYvGSNkhoC4/gu+AXjwJeglCLPtzzc/6x/8xJ4yHPuRxgsnfPOOf0A/2F246qx45upJFrvriYPMT8KBcf9Y+NwzYRfyzoXDQK/MgbfHKZrrGZAy0XwP6z+amrX+C4qoYfPpMO+/WNfIUIFWffWBP6ZETWnTY1KMfDb54GnsXPHkaS/Jg39kL/Fh38G09H/vzhVv9Wa/1N+NJnuCEDRTZmuN4S3/Lp/6dztnw8FXSv8CT/pf1b1R6xhgj4Bg1CmNCimYTKoXErGseHBZRePUpsoiuaBYhGDigzG6Q88JJMNDamAgiUPohEBEK3zz2pQdpQNmVW1gpKMdMhNP9PMpOMUx8hkt9iqo8E8YEcRSmrV0cg6VfdAGTntLbAWof0I9FMvxz0vQDP2UScWKQ4bUAUnRRJQpowdA/Y4d37UQvgtsTXTY2+DKB3YnDJ/wmt3K0mZzhTbuAzZVF3YaILBlYToA7fI61lZlI8IzptF8+LajuyMIDH3pMWpspyi+P3DgVFgQ0cpR8edIXVPGAF/pAP0QpRvlw7Dk6JgqDS7auXMELOI5wjnSJdpj0WdDIFI10SD3jz3Gnl9IcJ/qgLzgZFvKzaCpnbC0O9FQa0Gu00EOGyjgxDsYMDjyLihpH/dF/ZcZkTOMZPgYFPTa3rmhY6OTrx5iJ0GsrT5TBO8MlPQIHxHgyQvQNb/Ay2NLk6B4v3TbGY1vvxpxsUmZTqT08yp14JXLNECsjKzy7D00GnDh1lctTbqxdjeNs0LWUkyF5aw8YQuNJLnSGXtBH9QOMLOc540WHzCPOW+Zd6nLkOKCe8KPXWNMJdUSr6K45J03OnA8LPHmRs7lq0UUXnsg3kTFt0GNOOnkw7sBxt77goNPsk4146pv7eFfOQaTzNvnaopOcbFqVaxOg7+aRTaR65jr9VM9RsnZopGN4k1auPdujz8hbX+MX9ekx55Ijoz4wV413+iMLfdJlMjNOnGfzHj1wG+vwSo4jvWSPHvTCD8hPe3KFT57TCraIDNEJt40avpQD88JCz2HhcMsD5g47TD/S1gZHP8aQgxj61R+BA6iNQBI9NV/I3NrgPjd9UB+dgkR0VH2AFjpI/80DY0xe7DMnSv/agll7NosDwBknC3NfPXyTjz7IF048ok0AgHyVy7dxMGczf/WlX/OInEI/R9F6g1Z19MMm0wFjI+Bj7tIX/ZrDdIVeo4cc1WNn2EBzyLirZ8zoEPqsA+Ym+pSz3WM5uxT69ePONxsGd9rTv2X72CO0A/SzL2iBB7C/bCmHlfNNZvCyJ/wMDh0+6Cq50he2hK5pK8iGBvgD2hofusCmWxOC34Yi+DmTQH14Mp7k7zome4RG8tDfkh/9sTFOR+gZvbRGoJE9y+bVmmjM2Sf4zBky4Ahbv8xbekH21hZrBp7hB+ylOcnua6++QJzNMB9BkER+bBNbpR0doK/RH3zRL98BdJWF8xv9Rx+nnE7y0egQnw0e/bMn+kcngMf8VZ8u0w/yIifzCl/krE/jpr334KPD1jd0a6NvNCkXIFA//aljDutvlIu6xp7Okye5sGXsDF9CsAQN2pjbaPQOv3T6h1//WW/gvZEwc+YJjVJjDNEYNrHlEU7SBgTIl0dJ7CRF3x2TcKAZEkrLUWLEOYnacNThNDn1YcK48uHITjpAUdQ3AP9ZmSatCaE/wqXw3qtoZ7LoZ6QbbSYZoyo/tNl0UEi8Wpi0D8hDF17loU0/8EvLRwe6gLpoUD72L43uKKm2AbLAr/aMLhzwKocLb/K8yxtBnnLttPeurn7Q5V0dMKZHHOM7uagHF8C/cguIjYw8tI7jZZLiVRnZGCdy1ucSX+iBE5gs2gF4tZE/Aj2gI2QvPziNo7Q26DS+0sBiQN7wko1+5AP0wkdG0gF11KeX6oDgQDfQT/rDq3cgX+yvXqwAABAASURBVDrjBucSnzwRRfUZV3VFxxx/WiTNDXVGQAO8oRXv+OR4pR45yIM3eXkaS7SlLHXhUQd+dTylQzM5cMAic2XAuCuzsVKmbWhTbjFQDsbx1D9njV3wru4Ixss4aQfoU2gc66V/dQCdHPtHvzpkqx2+RvnJp5vqKNfvWC4P0Hc86kM5uo2/Mm3wZt5K4wfOlMszPvgB5K8/slE2Ah6NnX6AevCpA9/YD17oJtzKAZzaAXTiTz4gC3mhU553eeoD9oINlZe2+CNX5XTAfNYWbNGrHKAfHyNO+WwgnMD4pj9lQNq81A6d8gJo0g6gTTpl6NNG++TliRY84oP85NMXOMhXOgBn5jv6lZOvcvNG30BbdeWPIG/Wfklf+ocLXeQfPORrTikD+FrKAk/oM5/CM/rohvZwqaNt6JfnHU6grbrqjP3Te3nqwEfX9BUa9pXDGfrpvnmBFv2Dfe3VCczkSafJj56EJvjNT5C25KF/44FvY6ltyscnfOa6+upIr+HXlzpkFNmrrz2ZGU99j/jzzl7SHfYAHoAufZGLenDiAy1oV1cdvKa+foAxVF+7EUZ69Gf9VI4ueLWFO/NBGR1Ah/GT1hf8eJVWnrb0Ai/y4SaLpJNHHuqj3fwDyvABLxqU409fyvCCd3WTJx9ufGgzky8aZv2NOOABcLGpcNFrafpK15RrQ1/YZO/y1En/+jEn5N9omDnzlyWYU2yn546Y3bGdvgiTyBLFuCzeU7SjfHaXOe4UJcA7WinXKfpoHC2BmQTcYRQJYkyVO2JkVES0GDp5DdcjgcbaEmgJtARaAi2BWy8BDu0pmeTQO44OcOjH3eAp+zoWl52WY8fQ5vhJFOFYPF2/JXCMBFwPcGwnmqCdqJ1jO8er0g0tgZZAS6AlcCMk0ES0BB5MCZzamX8wpdBUtwRaAi2BlkBLoCXQEmgJtAQeQAm0M3+fBq27bQm0BFoCLYGWQEugJdASaAlcVQLtzF9Vgt2+JdASaAlcvwS6h5ZAS6Al0BJoCUwl0M78VCyd2RJoCbQEWgItgZZAS+BBlUDT/TBJoJ35h2m0m9eWQEugJdASaAm0BFoCLYFbJYFTOPN+GcvP6/of87dKOBNm/PobXv3K5aT4oKzIy78oPKhBVfILu/odf7mxsm/E53mKihcuwFc9Nj9L+e1LbyK7YiF9fbHCcYo5UGgufPDlh6GMmfcLhYuEemBfvUWzu5Lk/xKV+5IFx+Dz64To9P/vq+lumZbXcLwEjCe5vmA19Q6kX+BOuh79aQm0BFoCLYGWwNUlcApHxg8w+fd7x/4s8tWpv/cYONV49S8uOU+XocBPOcPh55It8PtwGCM/h63Ni++rfB/KX6/69EuXfiSsXjc/kZ9fbCO/pP1y4Sy9ieyKhW9b7f1qr/8DX68n/eDFvz41ZjYNW8j9Sp8fV4szvVV3rYyO+CEqv+Tp38G+TVVEQz32fl61avg/+G9cT/q4TFd2fy4hAZv17652ftnRBilp4yNdRQ/tpxlvCbQEWgItgRNKgBNwVXR+wesrCskfFfRnvwT80hh5+UGt/OLYVit1fq8qaOOXyur11n78JgE+f744zC/T1euVP04OPrmwvHzBvfig/UeqI7z4Nbl6vdaPjcC7Vw9PKfjwgh8qyC8M1mt/TiSBVy88Nl6i6/V61IcePKla2Djlx8Jeo9JPLLgMvmrWn5ZAS6Al8DBIoHncJ4FTOPP/XZ38dMHfF3A869GfDQn40SDy+seNOmMRmf5tZWjzrHre5g8nB59+fAzfp+LVtai3L2Su1dTj2j/Prh5+twAveKrXa/08X2F3xeYZ9ezP9UngpQq1UzInSvV61McG72eqxW8WeK/HzpWod6iXy+CrZv1pCbQEWgItgZbAbjdz5j+rBPPVBV9XwIn8m3q+T8FzF/g4Nv7Revn+gr8r+MyCXyh454LnKnAvVFTy0+v91wv+qUD5G9TzkYJ/KPjVgtcvUB8Nb1fvv1VgQ6C/96p398M/op5/UPDlBU8rcArw1Hq+UEE+H10v31awjG5xcERG4fznKv++ghcpcIf1a+v5MQUWV071r9W76yLo0a8FNvT8VZW9R4H8elz44Acv41WNj60arp2IAv9Avev/L+r5YQWuPrxiPcmDc6k/R+4fXHki9er+eL2PTif5kIc2Fv8q3r1m/cGPqyK/U++i/a50jHKp7LOPfPx6Gi/8uBL1CVX61wVoe7d6hj84vrjS6qLnT+r9TQtSjrZHK21c/7yeb1SQsnrdjeX/UhlfWSByXI+9n+etGvj8xHqSVT129O1L6uVbCvyKL/rfpd71aSzJyxg+vfI4zn9YzzcpyOeV6uW7Ct68QMT6j+uJ33rs9GGs8aj9I5UZWo3LB1b6XwvwKupNfyp54SPPdYovrFx9/3Y936LgiwrwwlEzzi9a6R8rIFNy+4B6N7b1OPuo89L19ksFn1YQOur1jE7z5c8qoT19/tJ6t0nhYH5nvbtao50TMvKprPOPKx6fUinzmazQJcpcWZf6kJs5Sy7oMX/QZx5E5+kkPdK3TvRv7JySSKv7p/VCxngnn5+oNHzk8771Lp/OP7ne0R2co2yq6Pxj3rFLIuDsxTOrxNx9v3o63WI/XJFjy4wvHshEn3C7/hXc5hwc7Jh5os53FB76bs6JsNNBsnjvymen1KFf5vY4tlW8c93qZ+vlawrYps+u57cX0FX4vqfev7HgsQJ6XY+zjzH9snrTph79aQm0BFoCLYGWwEUJLBccpRYzR/a/UgkO6UfVE7xOPS2uFi8LmkUn97+r6MLHQs154rC8WpX8TwHn02IGJ8foIyuP82aRssDrkzPjGJuD/nJV7sP5FZHmfHBYfLnP8bQyjoJI2W9UwglBPc4/Ng+/WCk4X7ueFlN3s+t1p7/3rBc0cPZ+v94/qAA+9FhMQ4/FnOOP16py4WNBV3ekx0IOn43Iv1Vt/XOG/6veORD1uPDBH1o49OpyCsP7hYqLBHo+tPLeuoBDwKnkgFTywsd4ug/9DZX7MgUcOXSTKd4/p/LI+2XraWw5XRzyN6w0ej6jnsbkFeqp3CbAdRh3q42H/jmVVbxL+f9VQrkx8OTscHwq++gPZ5jDzSFHo02mccQLB59DSadsJm1AbKZs+NIRx/DxlbDpIh9jxamurB2Z4Qud2kee5sU7VQW8c8xfud45yRx08qzkhQ/+OdCcRrjo41jBuLsbbyNLpnDaeJBX6tFvPLpiZDNNxsrMudetFxsauqj9a1Xad1U+vp42TB9ST/f/1bHRMzcr6/yDR44pORlzvDyhSjm19Tjqgx6Ou+8EcJTRY34YJ2mOtLy3Kqz6IMd63fyQKecWjfh6yzu15dvYccJfpfLIFn/vWu9r+mRTTv54tuGxEdAWPcYIrfDY0NnkslHoNUc/tfCOuiqfnuHXO/0QWZfWToSdLaEv5oI6cNowPK5wrX1cgXJ33gafrsJnU2MzEp3Uls0ydzn7bKi8hpslgaamJdASaAncdwlYhJZEuCLwy5XJqeBwWEhEAjkQFlDXH1whUEd5Vb3rw5kToRNN+98qFbH8yXqKdrs7KsIoAszJ4eSKSumjquyUWeyUS8v/4XrhfLp+wSnj3NkIWKRF7iywFtaqdv7h3Ij0yXD9QBTQxkIafSJ4HEGLpPYWZfS4BsPZ1a+66MFn6JEXQI/TBw48ejiurjvgkxw5YW9WlTn1eNBXJS98OEecZ04x5wUtIp0XKk0S5ObkwSYGHzYQHMJlVXIR7TWOxo78RI9/ririi7OLVpsSsuSUOFkRqawqO7wYQw6QOvixKSNTzqnIuwioutpzxH6wEinXD4eEs1fZR3/QaFOGP/STjSdniXPKGUKfEwayOOSLuCHCuHxzJbR3MmI8jSHnnMP4rVUGL1n7cqkxmn0Jmb7iWQS3mtz1McaADMmCc2p+mAsc+nesFqLYdNKYoqeyzj50kvNvo/JTZzm7nfZ0mwM4o+dOtfOHaLHTNLKk+3Sans7m/3mjlZfQI6ItGq2azQF7wBnlSMujG+acOYp3eWuQckECm0inIWSBRo4u2o2ByDf9lWfjPcNnHJ244dXG1UkffdbeWBpzNNl4mJPmGzzq6dPGWsBAHr0Wjd/6rop5oh282pCtTdLzSxwJxonM6Bn+bDzhYT/N0SPRdfWWQEugJdASuFkSuB5qZou5RYMjZtHXq7SF0QKnPkfKwjhzTNVfgvqcEwsjXMrhhtO7hZwDaVG1oFqIOYXKgH7Q410bmwzROc6chdcCrZ3yETjGomTKLLCi8BZZddCBBrRJe+ekoAWPjt85sdpyoPSl3hLQw2Gw0eF4iPyih4MsSmph5khwdkQC4V7iQJtrRKLN2tnYcCaX9ZZpfaNbPn7IyRhJb4F6NkYcUPU4lIkC65fcOE3KgLHjPMLNcbSp0V4ZQANavGvPwcYD2YEnVgGcNoL1evTHGKHPpkRj757o4uBzup2mcPBsNsha+SGAd/Sriwc6ynlCL1xoxwPAkzJOlvojoO3fKwOt9bjrg2bXheBxKsA5syGlb9qaT04dbMpCT5CQmytknHl1k2/jgB6byOStPem90xXXXOin0x9t1+qP+b5Qi27gqoqI94webWzYON7qckxtZvGobAvw7HqfDQL52CSwCWh0KsJZhhM4GTIG5LKFUxldpyfwS9N5eRlf+iM/IG3c4Zdn3OKkS8/AnBbNJxv0OYG0OZ/V3ZeHPptTchNccKLEJtgY7Wvb5S2BlkBLoCXwkErAQjRj3UKZRdiToyNaNjoTs3aXyXPs78j+c6ux6yWiUhbFSk4/FnoFopWcbnemLdDyAhxzd/lFaUXjXWVx/M95S521J+eBE8e5QI/75fvoISPXitAjYsrZFc1zjO5Os6N+EVe0LPu1gIvq6leEn1PqCN4R+7LudaeNM51wfzl9cXx8D0KZe+Wi36LJKVcf/9I2FU5jRJpdAwIcG3eRsyFT7xRAPq4kiHSLqH9VIeVUHePMV5PpBx/Af8DBA7DB5GBxrqaNNjI5+f9R5a5muLbBOXVdiGOszEbWvXd3o+lc5FlNdsrpiM0iWcsD6DEfjYv0XXAnw1x2hcw1E5Fvmy1XqejnnSqbD99HwT/gZJoLZGODO9JjQ8UR970GuuyEQ7Qe/TpY0qktUAbIxz15c9YG+Jsq05Ub/ZkX+gf06eOqzAaoHpf6oJ9MyX9EIC1f+Zi/9U6mrhO5voM+EX8br602W2Xsm02Mq3P4FrywIdlq02UtgZZAS6Al8BBLYFxMIwaLv+NdoNziyokRCTxmkQu+fU/RXs6h42oLP4dBFHitnU2FLyy6Y86hc7d/WVeEkNMkCmkh5PRxkvCzrLtMo4cMDqVHPUf77i2L6LkGIFrquoCnDYRrLqKiNhnL/jgAHB+0cVw49uqgwfNegjvLZMtBIVt9O3XAl2s6HEB18KZcFDORcXU58sBGS7k8cnetYXRQ5V8VjLGIsy8Uum/ty8gWOFqTAAAHFklEQVScyHEjkj44khzfWVnqjE8bFpFld6zTxomE/+VOV8e6h7w7sbDpIEdRYlfAyDH6wIF0iuTKlk0JRzl4RYdFfekz51Y+WjjnNo77orZk5C630xUnD5xucrJJg+tYQI/TJI4vvNrbWPjdBJtmcw4/3s0l5YA86bhNCd3w5e3Ilnw4r2gyX32nhkOMZhtI99nJDh6bEbivok82DuYpZ5ltgJdsbUKdDK5F4wUNyBO92gD80C90Sjs1HMvlrQFe6YAxSR182xD5zg1760pcyvrZErhOCTTulkBL4AGVgMV1STqH2kLpeN2d4S+oCqLfrgYoq+RJP66iAJF5UUD3ii2aa50o48BzgkUCc7d9rM9pcSeZUwqnLx9aYA+hX5RX9FV0XFuRcn2O+Md3UXiOASdDRBE95McJ9qVTOHyR0nUcTtDY1ruF3Jc21QOcJJH8rT61uw7gqH19IeaA+08b6PElS/8Jx4aFI+pLpzZcykWS0cnJr2Y73zfwpUNjqFx7esQBUn5K0C850wN6DJyicOxtMsa+OFocRBFpTjO9GMuX7+Tg/rfrRuHj86uS6yX1uNSHzMiOTJxE+Q6JDXKQ0SOnSTZ/vnAuOquMQ+ceuu8piOZrDw8H0mkPWtVbA/h8b8EGQDtj5rSIw73WZivfpojDa+Phv6+gh43gbDv9cjVEntMAm6Lg8j0bmxibL3wYNxuRzElfXPVfkrR1Mua6jmsvNjc2h/KBTfxV9YnsnI5wlNk4Y2yuOknwn4mUh+7xaUPiKpTvifiyLJ1DowCDa3Xo48ybJ2O7tXenSOwFucFHn200yJb9gE+wYK1957cEWgItgZZAS2D6ryk5DxYZ92o5tP4zgysAnA0is5D5DxO5NiGSZOHmLFmYLUb+64MIs4WfM2HR5+RZ5J692+0cHTuWhsNC6L90wMlhAhZsiyQn0t1iC56+gT44jRZVzvxs4ZXnf3z7l5rw+S8kjsL1oS1nypff0IdfjhKH2tG9xZPzr662ZCDqjh4OJF45Rdou6eHM69tmwn8m4VhqDxcnmQxFZOHgOOBFJNx/lHGn2tN/liF/dMHviRdt0CbPpgBNfylRoE9Oj2shlbzwIWf8x+nj2LmmIOqpohMDUUCOirQ7u59UL2SAf981wJcoYmXvbKTUV45muOmI+87KOSLoUK49fYEbr5EfJ4X8xjQelmn4OJ+i7qEfz2hyeiOCrQ/OGOCoi4C7iqFtgN5x1t6/Mnw/wcaEDooOZyMCPx3hWFW1HUfeeJCfPsyHmb65K0+exhtP2uIF3caM3Di1eI4+uPftGoky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Sciences","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Solarium, sun bed, melanoma, mortality, Cox regression analysis, survival","lastPublishedDoi":"10.21203/rs.3.rs-8981142/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8981142/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground:\u003c/h2\u003e \u003cp\u003eArtificial ultraviolet radiation (UVR) from solarium use has been linked to melanoma in some studies, while others report lower overall mortality. Whether melanoma risk is due to solarium use itself or to associated behaviors indicating intermittent solar overexposure remains unclear.\u003c/p\u003e\u003ch2\u003eMethods:\u003c/h2\u003e \u003cp\u003eThe Melanoma of Southern Sweden (MISS) cohort included\u0026thinsp;~\u0026thinsp;29,000 women enrolled in 1990 and followed for up to 34 years. Solarium use and sun exposure habits were assessed at baseline and after 10 years. Participants were categorized as non-users, solarium users without, or with indicators of intermittent solar overexposure. Cox proportional hazards models estimated hazard ratios (HRs) for melanoma and all-cause mortality. Sensitivity analyses, attributable risk, and restricted mean survival time (RMST) over 25 years were evaluated.\u003c/p\u003e\u003ch2\u003eResults:\u003c/h2\u003e \u003cp\u003eSolarium use without indicators of solar overexposure was not associated with melanoma risk. Solarium users with overexposure indicators had a higher melanoma risk (HR 1.60, 95% CI 1.30\u0026ndash;2.00). Both solarium user groups had\u0026thinsp;~\u0026thinsp;18% lower all-cause mortality than non-users. Approximately one-third of melanomas among solarium users was attributable to solar overexposure. Over 25 years, solarium users had an RMST nearly 10 months longer than non-users.\u003c/p\u003e\u003ch2\u003eConclusions:\u003c/h2\u003e \u003cp\u003eMelanoma risk among solarium users appears driven by intermittent solar overexposure rather than solarium use itself, while solarium use was associated with lower all-cause mortality. Our findings indicate that prevention efforts should focus on reducing intermittent UV overexposure behaviors.\u003c/p\u003e","manuscriptTitle":"To distinguish solarium use with and without risk behavior on melanoma incidence and all- cause mortality. -A report from the large MISS Cohort","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-03-10 17:47:41","doi":"10.21203/rs.3.rs-8981142/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-03-20T11:39:06+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-18T18:08:36+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"229162884126952159073149445276145866034","date":"2026-03-09T13:42:43+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-05T15:30:49+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"90933313721230494198155391100741253772","date":"2026-03-05T15:22:21+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-03-03T14:22:04+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-02-27T17:30:20+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-02-27T14:34:37+00:00","index":"","fulltext":""},{"type":"submitted","content":"Photochemical \u0026 Photobiological Sciences","date":"2026-02-26T19:48:14+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"photochemical-and-photobiological-sciences","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ppss","sideBox":"Learn more about [Photochemical \u0026 Photobiological Sciences](https://link.springer.com/journal/43630)","snPcode":"43630","submissionUrl":"https://www.editorialmanager.com/ppss/","title":"Photochemical \u0026 Photobiological Sciences","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"c20acbb4-dbf0-4cb6-bf8e-c01c407c3d16","owner":[],"postedDate":"March 10th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-05-06T06:53:16+00:00","versionOfRecord":[],"versionCreatedAt":"2026-03-10 17:47:41","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8981142","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8981142","identity":"rs-8981142","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}