Tobacco Consumption and Maternal Age as Potential Risk Factors for Non-Syndromic Cleft Palate: A Cross-Sectional Study in Southeastern Iran

Tobacco Consumption and Maternal Age as Potential Risk Factors for Non-Syndromic Cleft Palate: A Cross-Sectional Study in Southeastern Iran | 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 Tobacco Consumption and Maternal Age as Potential Risk Factors for Non-Syndromic Cleft Palate: A Cross-Sectional Study in Southeastern Iran Amir Hossein Khazaei, Fatemeh Keikhaee, Abolfazl Payandeh, Sina Hakimi, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5894135/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background : To the best of our knowledge, no previous study has reported the epidemiological profile of Cleft lip and/or cleft palate (CL/P) among southeastern Iranian population. Therefore, we aimed to study these patients and explored the interplay of associated risk factors with different cleft phenotypes. Methods : A cross-sectional descriptive-analytical study was conducted on individuals with non-syndromic CL/P admitted to Zahedan Cleft Center from 2020 to 2024. The data were gathered through examination and face-to-face interviewing parents. Data were analyzed using chi-square and Fisher’s exact tests. A multiple logistic regression model with backward elimination method was also performed. Results : 421 individuals were included in the study. Cleft lip and palate (CLP) was the most common type (n=246, 58.4%), followed by cleft palate (CP) (n=124, 29.5%) and cleft lip (CL) (n=51, 12.1%). Unilateral and left-sided clefts were more prevalent. Female gender (P=0.049), Fars ethnicity (P=0.002), maternal tobacco use during the first trimester (P=0.041), and maternal age of ≥ 35 years at pregnancy (P=0.024) were significantly associated with the occurrence of CP. Additionally, the incidence of CL was associated with a family history of CL/P (P=0.011). Logistic regression model revealed that mothers who used tobacco during the first trimester of pregnancy and those who were ≥ 35 years were found to be having 2.12 and 2.09 times higher odds, respectively, for having a child with CP. Conclusions : Pregnant women in southeastern Iran require enhanced prenatal care to reduce the incidence of oral clefts. Epidemiology Cleft Lip Cleft Palate Risk Factors Congenital Abnormalities INTRODUCTION Cleft lip and/or cleft palate (CL/P) are among the most common congenital malformations affecting the head and facial region. The global prevalence of orofacial clefts is estimated a range from 0.3 to 0.45 per 1000 live birth (1). This condition can be either non-syndromic (70%) or associated with syndromes (30%) such as Van der Woude syndrome and Pierre Robin sequence, affecting the lip, alveolar process and palate to varying degrees and severity (2, 3). Although CL/P are associated with higher mortality rates (4), affected individuals are more likely to suffer from secondary complications such as nutritional, speech, auditory and respiratory problems, as well as aesthetic issues. Additionally, other congenital malformations such as congenital heart defects are usually present in affected patients (5), who also experience higher rates of dental caries and anomalies (6, 7). A multidisciplinary approach is required in the management of CL/P, and with recent advances in prenatal diagnosis of CL/P using three-dimensional ultrasound, affected patients can be scheduled for future treatment before birth (8). For optimal outcomes and improved prognosis, it is essential to initiate or adapt treatment planning immediately after birth (9). Genetics plays a significant role in the occurrence of CL/P, but environmental factors are also crucial in cleft formation. Various factors, including sex, ethnicity, family history, consanguineous marriage of parents, maternal and paternal educational levels, alcohol and tobacco use, folic acid intake, and maternal age at pregnancy, have been reported to have an association with the occurrence of cleft (10). According to the World Bank, southeastern Iran has the highest poverty rate in the country (11). This low socioeconomic status increases the vulnerability of pregnant women to adverse pregnancy outcomes (12) and is associated with higher rates of malnutrition and food insecurity (13). This region also has some of the highest rates of child and consanguineous marriages in Iran (14, 15). These conditions make southeastern Iran an exclusive location for research into several risk factors that are less prevalent in other regions. To the best of our knowledge, no previous study has reported the epidemiological profile of CL/P among southeastern Iranian population. Therefore, we aimed to study the epidemiological profile of these patients and explored the interplay of associated risk factors with different cleft phenotypes. MATERIALS AND METHODS Data source and study design This cross-sectional descriptive-analytical study was conducted on individuals admitted to the Cleft Center of Zahedan, a referral center for cleft lip and palate reconstruction in southeastern Iran. This study utilized the data collected from August 2020 to August 2024 and was conducted in accordance with the Helsinki Declaration. Institutional Review Board approval was obtained from Zahedan University of Medical Sciences (IR.ZAUMS.REC.1402.287). The data were gathered through examination and face-to-face interviewing parents using a specifically designed data collection form. The research coordinator was contacted by the center's nurses following the admission of patients with cleft. The affected patients were checked by an experienced and trained research coordinator. Written informed consent was obtained from all patients or their legal guardians prior to data collection. The study included all patients with non-syndromic CL/P. Non-syndromic clefts are birth defects occurring without any other associated birth defects. The geneticist's or pediatrician's diagnosis at birth served as the basis for the diagnosis of Pierre Robin sequence and syndromic orofacial clefts. Exposure variables The following features were gathered through examinations and interviews with parents: demographic variables including sex, ethnicity, family history of CL/P, parents' consanguineous marriage, parents' education level, maternal tobacco use during the first trimester of pregnancy, folic acid supplementation during the first trimester of pregnancy, and maternal age at pregnancy. Clinical characteristics including cleft type, cleft location, and cleft side were also obtained. The cleft type was categorized as isolated cleft lip (CL), isolated cleft palate (CP), or cleft lip and palate (CLP). In this study, the cleft side was described as a unilateral or bilateral cleft in patients who had cleft lip with or without cleft palate (CL ± P). In patients with unilateral cleft lip, the location of the cleft was defined as left, right, or midline. A family history of CL/P of first- and second-degree relatives was documented. Parental education level was assessed based on whether a parent had a higher level of education. Maternal age at pregnancy was classified as less than 35 years or 35 years and older. The mean age of the mothers was also calculated. Maternal tobacco use, including smoking, was evaluated. Folic acid supplementation, a standard part of prenatal care in Iran, was reviewed through maternal medical history. Consanguineous marriage was defined as marriage between second-degree relatives (Table 1 ). Table 1 Categorization of the exposure variables Variables Categorization Cleft type CL; CP; CLP. Cleft side Unilateral; Bilateral. Cleft location Left; Right; Midline. Sex Male; Female. Ethnicity Baluch; Fars; Others. Family history of CL/P Yes; No. Parents' consanguineous marriage Yes; No. Parents' education level ≤Middle school; High school; ≥College. Maternal tobacco use during the first trimester of pregnancy Yes; No. Folic acid supplementation during the first trimester of pregnancy Yes; No. Maternal age at pregnancy < 35 years old; ≥ 35 years old. CL: Cleft lip/CP: Cleft palate/CLP: Cleft lip and palate/CL/P: Cleft lip and/or cleft palate Statistical analysis The information was reviewed and cleaned before running statistical analysis. Mean, standard deviation (SD), frequency, and percentage were used for reporting descriptive summaries. We employed the chi-square and Fisher’s exact tests to assess the association between various potential risk factors and the development of different cleft phenotypes including CL, CP, CLP, cleft side, and cleft location. Multiple logistic regression model with backward elimination method was also performed to assess the effects of all predictors simultaneously. Adjusted odds ratio (OR) and 95% confidence interval (CI) were also reported. The analysis was conducted using SPSS Statics version 28 (SPSS Inc., Chicago, IL, USA), with P values less than 0.05 considered statistically significant. RESULTS A total of 433 patients with CL/P met the inclusion criteria. Twelve of them died after admission and were therefore excluded from the study, with severe congenital heart defects being the primary cause of death in 10 cases. Consequently, 421 patients were included in the final analysis. The patients' ages ranged from one day postpartum to 26 years. The majority of them were admitted for their first cleft reconstruction consultation (n = 341, 81.0%) while the remaining patients were referred from other centers for additional surgeries or revisions. CLP was the most common type, affecting 246 patients (58.4%), followed by CP with 124 patients (29.5%) and CL with 51 patients (12.1%). Among patients with CL ± P, unilateral cleft (UC) was the most prevalent, occurring in 211 patients (71%), compared to bilateral cleft (BC) in 86 patients (29%). For those with UC, the cleft location was most commonly on the left in 136 patients (64.5%), followed by the right in 66 patients (31.3%), and midline in 9 patients, (4.3%). The majority of patients were male (n = 238, 56.5%). Baluch ethnicity was the most common (n = 353, 83.8%), followed by Fars (n = 58, 13.8%) and others including Afghan (n = 8, 1.9%) and Kurdish (n = 2, 0.5%) patients. A family history of CL/P was present in 172 patients (40.9%). Parental consanguinity was reported in 292 of patients (59.1%). Most parents had a low level of education (≤ middle school, 287 patients, 68.2%). Folic acid supplementation during the first trimester of pregnancy was not taken by 22.6% of mothers (n = 95). Additionally, 19.2% of mothers (n = 81) used tobacco (equivalent to 5 or more cigarettes per day) during the first trimester, and all of these mothers were also tobacco users before pregnancy. Finally, 15.2% of mothers (n = 64) were aged 35 or older at the time of pregnancy, with a mean age of 23 ± 1 (range: 15–44) years. The association between potential risk factors and cleft type was analyzed and presented in Tables 2 and 3 . The results indicated that CL and CLP were more prevalent in males, while CP was more common in females (P = 0.049). For the Baluch ethnic group, CLP, CP, and CL were reported with frequencies similar to the overall distribution. In contrast, among the Fars ethnic group, CP was the most frequently reported type (P = 0.002). Among patients with CP, a majority (n = 85, 68.5%) had no family history of CL/P, a trend also observed in CLP patients (n = 141, 57.3%). Conversely, 54.9% of patients with CL (n = 28) had a family history of CL/P (P = 0.011). There was no significant association between cleft type and parental consanguinity or education level. Additionally, folic acid supplementation during the first trimester of pregnancy did not show a significant association with cleft type. However, maternal tobacco use during the first trimester and maternal age at pregnancy were associated with a higher incidence of CP, with both factors showing statistically significant differences (P = 0.041 and P = 0.024, respectively). No significant association was found between the cleft side or location and the associated risk factors (P > 0.05). Logistic regression model was also performed to find the independent factors for different cleft types (Table 4 ). This analysis revealed that patients who had family history of CL/P had 1.91 times higher odds for having CL. In addition, Fars ethnicity, maternal tobacco use during the first trimester of pregnancy, and mothers who were ≥ 35 years were found to be having 2.88, 2.12, and 2.09 times higher odds, respectively, for having a child with CP compared to their counterparts. Furthermore, patients who were female and had no family history of CL/P were 1.56 and 1.69 times more likely to have CP, respectively. The odds of having CLP was 2.85 times higher for Baluch ethnicity. Table 4 Backward logistic regression analysis of potential risk factors for cleft types in southeastern Iran Cleft type (Outcome) Risk factor Adjusted-OR 95% CI P value CL Family history of CL/P (Yes) 1.91 1.06–3.45 0.031 * CP Sex (Male) 0.64 0.41–0.98 0.044 * Ethnicity (Fars) 2.88 1.60–5.19 < 0.001 * Ethnicity (Others) 0.8 0.16–3.93 0.784 Family history of CL/P (Yes) 0.59 0.38–0.93 0.027 * Maternal tobacco use (Yes) 2.12 1.24–3.59 0.006 * Maternal age at pregnancy (≥ 35) 2.09 1.18–3.70 0.011 * CLP Sex (Male) 1.43 0.96–2.14 0.080 Ethnicity (Fars) 0.35 0.20–0.63 < 0.001 * Ethnicity (Others) 2.31 0.48–11.19 0.295 Maternal tobacco use (Yes) 0.61 0.37–1.01 0.056 Maternal age at pregnancy (≥ 35) 0.58 0.34–1.01 0.055 *Significant results (P ≤ 0.05); OR: Odds ratio/CI: Confidence interval CL: Cleft lip/CP: Cleft palate/CLP: Cleft lip and palate/CL/P: Cleft lip and/or cleft palate DISCUSSION The result indicated that CLP was the most common cleft type, followed by CP and CL. Among patients with CL ± P, unilateral cleft (UC) was more common than bilateral cleft (BC), with the cleft most commonly located on the left side, followed by right and midline. This pattern aligns with findings in the majority of the literature. Various studies have consistently reported CLP as the most common cleft type (16, 17, 18, 19). However, this contrasts with the study by Peña-Soto et al., which found CP to be the most common cleft type (20). Maranhão et al. and Carrim and Hlongwa also reported UC as the most common cleft side (18, 21), whereas Jaisani et al. reported BC as more prevalent (17). Additionally, a number of studies have reported the left side as the most common location on the cleft lip (17, 18, 20, 21). Sex Regarding sex distribution, numerous studies have reported a male predominance in cleft cases (17, 19, 20, 21). However, there is controversy about the association between sex and specific cleft types. Saha et al. reported that CLP and CP occurred more frequently in males and CL predominantly occurred in females (19). Peña-Soto et al. also noted a higher prevalence of CL and CP in males, with the difference being statistically significant (20). This contrasts our findings, which demonstrate female dominance in CP and male dominance in CL and CLP. A similar pattern was also reported in studies by Carrim and Hlongwa (21), Pavri and Forrest (22) and Silva et al. (23). Ethnicity Our study revealed a significant association between cleft type and ethnicity. The Baluch ethnic group was predominantly represented across all cleft types, with CLP being the most common among them. In contrast, the Fars ethnic group, particularly from northern Sistan and Baluchestan (Zaboli), showed a higher prevalence of CP. The association between ethnicity and cleft type has been reported in various studies (21, 24). As this is the first epidemiological study of cleft patients in southeastern Iran, these findings provide a basis for future comparative studies and may help capture ethnic patterns in cleft occurrences in the region. In this study, the Baluch ethnic group was 83.8% of the population. This sample accurately reflects the regional demographics. Southeastern Iran is primarily populated by Baluch people, who make up a significant portion of the Sistan and Baluchestan province (25). Family history Our study identified a statistically significant association between cleft type and family history. Specifically, patients with CL were more likely to have a family history of CL/P, whereas the majority of patients with CLP and CP did not have such a family history. The absence of a family history was notably more prevalent in patients with CP compared to the other types. This finding aligns with the literature, which generally reports a lack of family history in most cleft cases. However, the prevalence of a family history in our study (42%) was higher than that reported by Maranhão et al. (28%) and Silva et al. (31%) (18, 26). Regarding the cleft type, Silva et al. and Falagan-Lotsch et al. observed that family history of clefts was more common among patients with CLP compared to the other types, while most patients of all three cleft types had no family history of CL/P (26, 27). In the current study, an OR of 1.91 means that individuals with a family history of CL/P were 1.91 times more likely to have a child with CL compared to those without a family history. This suggests that individuals with a family history of CL/P should be prioritized for genetic counseling. This counseling can help them understand the risk to future children and make informed decisions about family planning. In addition, identifying families with a family history of CL/P allows for the implementation of targeted interventions, such as nutritional support (folic acid supplementation) and monitoring for other potential risk factors during pregnancy. Consanguinity In our study, 69.4% of parents had consanguineous marriage, but no statistically significant association was found between cleft type and consanguinity. This prevalence is higher than the 58.9% and 61% reported by Farshidfar et al. and Saha et al., respectively (16, 19). Conversely, a case-control study by Jabaiti et al. found a significant association between consanguineous marriages and the incidence of clefts, indicating that such marriages doubled the incidence of clefts regardless of type (28). The underlying cause may be related to the fact that consanguineous marriages increase the likelihood that both parents carry the same recessive genes. Certain genes, when inherited in a recessive pattern, can predispose individuals to oral clefts (29). Recognizing the link between consanguinity and non-syndromic oral clefts is crucial for implementing preventative strategies, such as community awareness programs. Education level Our findings also suggest that most cleft patients had parents with low education levels, while various studies have indicated a link between low socioeconomic status and a higher occurrence of clefts (16, 19). Although we did not found a significant association between cleft type and parental education level, Vu et al. reported that this association was statistically significant, where different socioeconomic statuses were associated with varying cleft phenotypes (30). The underlying cause may be related to that poverty and education level of parents can influence access to prenatal care and health education. Moreover, nutrition and lifestyle choices such as smoking are significantly under the influence of these factors. Therefore, poverty and education level can potentially affect other risk factors exposure (31). Folic acid Folic acid deficiency has been reported to be associated with a higher incidence of orofacial clefts. We found no significant association between lack of folic acid supplementation and the occurrence of specific cleft types. However, Xu et al. reported an association between lack of folic acid supplementation and the occurrence of CLP and CL (32). Furthermore, Vu et al. found an association between early prenatal care and the occurrence of different types of clefts and reported that vitamin and micronutrient supplementation protected against the development of CL ± P while having no effect on CP (30). Maranhão et al. also reported the same pattern and demonstrated that folic acid had a stronger protective effect on CL ± P compared to CP (18). Compared to other studies, the lack of folic acid supplementation was higher in our study 22.6% (n = 95). Simultaneously, due to the inadequate intake of micronutrients and vitamins from the daily diet, which reflects the food insecurity and poverty in southeastern Iran, the lack of folic acid supplementation may have a crucial role in the development of orofacial clefts in this region of Iran. The most common reason given for lack of supplementation was unawareness of the pregnancy. Low socioeconomic status and thus having less access to the health system were other local barriers to folic acid supplementation. In the study conducted by Kebaabetswe et al., the primary barriers to folic acid supplementation among pregnant women included the unavailability of supplements at clinics, poverty, and adherence issues. It was recommended to enhance the accessibility of supplementation at antenatal clinics and to improve education efforts regarding supplementation, incorporating information about the advantages of folic acid and other micronutrients (33). There is a need for implementation research to evaluate these interventions, with the ultimate goal of improving maternal and infant outcomes in the southeastern Iranian population. Tobacco Regarding maternal tobacco use in the first trimester of pregnancy, we found a statistically significant association with cleft type. Specifically, CP was more common among tobacco users. Vu et al. also reported that maternal tobacco use before pregnancy increased the incidence of CP by more than twofold (30). In the current study, a 2.12 OR for tobacco use in predicting CP means that mothers who used tobacco were 2.12 times more likely to have a child with CP compared to mothers who did not use tobacco. A meta-analysis showed that maternal smoking during pregnancy significantly increased the risk of CP (OR = 1.50) (34). It highlights tobacco use as a modifiable risk factor for CP, making it a target for prevention efforts. In our study 19.2% (n = 81) of participants had mothers who used tobacco in the first trimester, which is significant compared to the other studies. Many mothers indicated that they were unaware of their pregnancy at the time of tobacco use and did not abstain as a result. Additionally, some mothers reported that tobacco use reduced the signs and symptoms of pregnancy sickness and therefore continued to use it. This arises from mothers’ lack of knowledge about the side effects of tobacco on their fetus. This highlights the need for improved education on the risks of tobacco use during pregnancy. Notably, maternal tobacco use has been significantly associated with the development of all orofacial clefts (35). A systematic review by Elseifi et al. discussed several strategies, including financial incentives such as gift cards or vouchers, behavioral counseling, and long-term nicotine replacement therapy (NRT) for smoking cessation in pregnant women (36). Nicotine replacement therapy is generally considered safe during pregnancy, particularly when compared to the risks of continued smoking (37). These interventions, particularly when tailored to address socioeconomic barriers, can improve smoking cessation rates and related health outcomes for both mother and child. Maternal age Our study found a significantly higher incidence of CP among mothers aged 35 years or older. This is consistent with Pethő et al., who reported that all cleft types, particularly CP, are significantly associated with advanced maternal age (38). Conversely, Ács et al. did not find a significant association between maternal age and cleft occurrence (39). Bille et al. also found significant associations between advanced maternal and paternal age with CL ± P. In their study, only advanced paternal age had a significant association with CP (40). In the current study, a 2.09 OR for maternal age in predicting CP indicates that mothers aged 35 years or older are roughly twice as likely to have a child with CP compared to mothers younger than 35 years old. This increased risk can be used to identify women who may benefit from enhanced prenatal care and monitoring, including more frequent ultrasounds to detect CP early and genetic counseling to assess the risk of recurrence in future pregnancies. The increased risk associated with older mothers is often linked to the higher prevalence of chromosomal abnormalities in pregnancies of older women, which can be a factor in some cases of oral clefts (41). It's important to note that oral clefts are generally considered to have a multifactorial etiology, meaning they are caused by a combination of genetic and environmental factors (10). This research fills a notable gap in the epidemiological understanding of CL/P in southeastern Iran, a region with distinct socioeconomic and cultural conditions. Moreover, the study included a substantial sample size (421 patients) from a specialized center, ensuring the representativeness and reliability of the findings. The use of structured data collection through examinations and interviews increases the accuracy of the data. The core limitation of cross-sectional studies is their inability to establish a causal inference between exposure and outcome. However, they are valuable tools in various fields, especially for public health planning, initial investigations, and understanding population characteristics. In the current study, maternal tobacco use and folic acid supplementation during the first trimester of pregnancy were self-reported, which may introduce recall bias or misclassification. This could affect the validity of these findings. In addition, other potential confounders including socioeconomic status and maternal health conditions were not accounted for and this could have influenced the results. Based on the meta-analysis conducted by Ács et al, maternal BMI (Body mass index), hypertension, and type 1 diabetes are other important maternal factors that increase the risk of oral clefts (34). In conclusion, our study identified several factors associated with the occurrence of cleft types: sex, ethnicity, maternal tobacco use during the first trimester, and maternal age were significantly associated with CP, while a family history of CL/P was associated with the incidence of CL. These findings highlight the need for enhanced prenatal care for pregnant women in southeastern Iran to reduce the occurrence of oral clefts. Additionally, parents should be informed about the importance of timely and effective management for children with clefts. Declarations CONFLICT OF INTEREST STATEMENT There are no competing interests disclosed by the authors. FUNDING No financial support for this study. CONFLICT OF INTEREST STATEMENT There are no competing interests disclosed by the authors. FUNDING No financial support for this study. Author Contribution A.H.K. contributed to conception and design of study, acquisition of data, drafting of article and critical revision. F.K. contributed to acquisition of data and final approval of manuscript. A.P. contributed to analysis of data. S.H.contributed to drafting of article and critical revision. F.R. contributed to drafting of article and critical revision. 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Vu GH, Warden C, Zimmerman CE, Kalmar CL, Humphries LS, McDonald-McGinn DM, et al. Poverty and Risk of Cleft Lip and Palate: An Analysis of United States Birth Data. Plast Reconstr Surg. 2022;149(1):169-82. Inchingolo AM, Fatone MC, Malcangi G, Avantario P, Piras F, Patano A, et al. Modifiable Risk Factors of Non-Syndromic Orofacial Clefts: A Systematic Review. Children (Basel). 2022;9(12). Xu W, Yi L, Deng C, Zhao Z, Ran L, Ren Z, et al. Maternal periconceptional folic acid supplementation reduced risks of non-syndromic oral clefts in offspring. Sci Rep. 2021;11(1):12316. Kebaabetswe P, Diseko M, Zash R, Mayondi G, Mabuta J, Mmalane M, et al. A qualitative assessment of barriers to iron and folic acid supplementation among pregnant women in Botswana. BMC Public Health. 2024;24(1):3369. Ács M, Cavalcante BGN, Bănărescu M, Wenning AS, Hegyi P, Szabó B, et al. Maternal factors increase risk of orofacial cleft: a meta-analysis. Scientific Reports. 2024;14(1):28104. Yang L, Wang H, Yang L, Zhao M, Guo Y, Bovet P, et al. Maternal cigarette smoking before or during pregnancy increases the risk of birth congenital anomalies: a population-based retrospective cohort study of 12 million mother-infant pairs. BMC Med. 2022;20(1):4. Elseifi OS, Younis FE, Mirza IM, Alhewiti A, Abd-Elhady NMS, Mortada EM. Breaking the Habit: A Systematic Review and Meta-Analysis of Pregnancy-Related Smoking Cessation Randomized Controlled Trials. Healthcare (Basel). 2025;13(7). Morales-Suárez-Varela M, Puig BM, Kaerlev L, Peraita-Costa I, Perales-Marín A. Safety of Nicotine Replacement Therapy during Pregnancy: A Narrative Review. Int J Environ Res Public Health. 2022;20(1). Pethő B, Váncsa S, Váradi A, Agócs G, Mátrai Á, Zászkaliczky-Iker F, et al. Very young and advanced maternal age strongly elevates the occurrence of nonchromosomal congenital anomalies: a systematic review and meta-analysis of population-based studies. Am J Obstet Gynecol. 2024. Ács L, Nemes B, Nagy K, Ács M, Bánhidy F, Rózsa N. Maternal factors in the origin of cleft lip/cleft palate: A population-based case-control study. Orthod Craniofac Res. 2024;27 Suppl 1:6-13. Bille C, Skytthe A, Vach W, Knudsen LB, Andersen AM, Murray JC, et al. Parent's age and the risk of oral clefts. Epidemiology. 2005;16(3):311-6. Frick AP. Advanced maternal age and adverse pregnancy outcomes. Best Pract Res Clin Obstet Gynaecol. 2021;70:92-100. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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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-5894135","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":498149613,"identity":"76b59ff3-d1ae-4410-bbb8-a8e7417ea5d7","order_by":0,"name":"Amir Hossein Khazaei","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/UlEQVRIiWNgGAWjYBACNgk2xgcJBhIMDAeAvA8gEXYCWvgl2JgNPlTYgLQwNs4AaWEmoEVyBhub5IwzaWAtzTwgIUJaDG63JUjzth1m4Dvee/yxza9t8nzMDIwfPubg0XLn2AFjkBbJM+cSm3P7bhu2MTMwS87chkfLjfSGZJAWgxs5hs25PbcZgVrYmHnxaLEHajkM1nL/jWGzZc9te4JaDG6kHWwEed/gBo9hM8OP24nEaElmAAYyj+SZHMOZvQ23k9uYGZsJ+CXN/AcwKuX4jp8x+PDjz23b+e3NBz98xKMFBsAxwsDYBiYbCKtHgD+kKB4Fo2AUjIKRAgA4XFgm2gr2BwAAAABJRU5ErkJggg==","orcid":"","institution":"Zahedan University of Medical Sciences","correspondingAuthor":true,"prefix":"","firstName":"Amir","middleName":"Hossein","lastName":"Khazaei","suffix":""},{"id":498149614,"identity":"7d0032f8-57f6-43dc-b3f8-3188bc698a93","order_by":1,"name":"Fatemeh Keikhaee","email":"","orcid":"","institution":"Zahedan University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Fatemeh","middleName":"","lastName":"Keikhaee","suffix":""},{"id":498149616,"identity":"d6b077f6-d4ac-4d66-a409-0774b0c8ba37","order_by":2,"name":"Abolfazl Payandeh","email":"","orcid":"","institution":"Zahedan University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Abolfazl","middleName":"","lastName":"Payandeh","suffix":""},{"id":498149618,"identity":"d9bd5964-0bbf-4a51-96d1-1bff2dfb2604","order_by":3,"name":"Sina Hakimi","email":"","orcid":"","institution":"Zahedan University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Sina","middleName":"","lastName":"Hakimi","suffix":""},{"id":498149624,"identity":"a487dbd8-b3b0-45a6-bfc9-219b30728c1c","order_by":4,"name":"Fatollah Roshanzamir","email":"","orcid":"","institution":"Shahid Beheshti University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Fatollah","middleName":"","lastName":"Roshanzamir","suffix":""},{"id":498149625,"identity":"e0d4caca-f930-4573-b9e8-25e818d2b41b","order_by":5,"name":"Nasser Nadjmi","email":"","orcid":"","institution":"AZ Monica Hospital Antwerp","correspondingAuthor":false,"prefix":"","firstName":"Nasser","middleName":"","lastName":"Nadjmi","suffix":""}],"badges":[],"createdAt":"2025-01-24 09:08:24","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5894135/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5894135/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":101880919,"identity":"51e1f9e6-4f3e-413e-90fb-4d232bc24048","added_by":"auto","created_at":"2026-02-04 15:07:50","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":630695,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5894135/v1/3f631bc1-b3fd-40b8-952a-8278cdbdfbfa.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Tobacco Consumption and Maternal Age as Potential Risk Factors for Non-Syndromic Cleft Palate: A Cross-Sectional Study in Southeastern Iran","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eCleft lip and/or cleft palate (CL/P) are among the most common congenital malformations affecting the head and facial region. The global prevalence of orofacial clefts is estimated a range from 0.3 to 0.45 per 1000 live birth (1). This condition can be either non-syndromic (70%) or associated with syndromes (30%) such as Van der Woude syndrome and Pierre Robin sequence, affecting the lip, alveolar process and palate to varying degrees and severity (2, 3). Although CL/P are associated with higher mortality rates (4), affected individuals are more likely to suffer from secondary complications such as nutritional, speech, auditory and respiratory problems, as well as aesthetic issues. Additionally, other congenital malformations such as congenital heart defects are usually present in affected patients (5), who also experience higher rates of dental caries and anomalies (6, 7). A multidisciplinary approach is required in the management of CL/P, and with recent advances in prenatal diagnosis of CL/P using three-dimensional ultrasound, affected patients can be scheduled for future treatment before birth (8). For optimal outcomes and improved prognosis, it is essential to initiate or adapt treatment planning immediately after birth (9).\u003c/p\u003e\u003cp\u003eGenetics plays a significant role in the occurrence of CL/P, but environmental factors are also crucial in cleft formation. Various factors, including sex, ethnicity, family history, consanguineous marriage of parents, maternal and paternal educational levels, alcohol and tobacco use, folic acid intake, and maternal age at pregnancy, have been reported to have an association with the occurrence of cleft (10). According to the World Bank, southeastern Iran has the highest poverty rate in the country (11). This low socioeconomic status increases the vulnerability of pregnant women to adverse pregnancy outcomes (12) and is associated with higher rates of malnutrition and food insecurity (13). This region also has some of the highest rates of child and consanguineous marriages in Iran (14, 15). These conditions make southeastern Iran an exclusive location for research into several risk factors that are less prevalent in other regions. To the best of our knowledge, no previous study has reported the epidemiological profile of CL/P among southeastern Iranian population. Therefore, we aimed to study the epidemiological profile of these patients and explored the interplay of associated risk factors with different cleft phenotypes.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cp\u003e\u003cb\u003eData source and study design\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThis cross-sectional descriptive-analytical study was conducted on individuals admitted to the Cleft Center of Zahedan, a referral center for cleft lip and palate reconstruction in southeastern Iran. This study utilized the data collected from August 2020 to August 2024 and was conducted in accordance with the Helsinki Declaration. Institutional Review Board approval was obtained from Zahedan University of Medical Sciences (IR.ZAUMS.REC.1402.287). The data were gathered through examination and face-to-face interviewing parents using a specifically designed data collection form. The research coordinator was contacted by the center's nurses following the admission of patients with cleft. The affected patients were checked by an experienced and trained research coordinator. Written informed consent was obtained from all patients or their legal guardians prior to data collection. The study included all patients with non-syndromic CL/P. Non-syndromic clefts are birth defects occurring without any other associated birth defects. The geneticist's or pediatrician's diagnosis at birth served as the basis for the diagnosis of Pierre Robin sequence and syndromic orofacial clefts.\u003c/p\u003e\u003cp\u003e\u003cb\u003eExposure variables\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe following features were gathered through examinations and interviews with parents: demographic variables including sex, ethnicity, family history of CL/P, parents' consanguineous marriage, parents' education level, maternal tobacco use during the first trimester of pregnancy, folic acid supplementation during the first trimester of pregnancy, and maternal age at pregnancy. Clinical characteristics including cleft type, cleft location, and cleft side were also obtained.\u003c/p\u003e\u003cp\u003eThe cleft type was categorized as isolated cleft lip (CL), isolated cleft palate (CP), or cleft lip and palate (CLP). In this study, the cleft side was described as a unilateral or bilateral cleft in patients who had cleft lip with or without cleft palate (CL\u0026thinsp;\u0026plusmn;\u0026thinsp;P). In patients with unilateral cleft lip, the location of the cleft was defined as left, right, or midline. A family history of CL/P of first- and second-degree relatives was documented. Parental education level was assessed based on whether a parent had a higher level of education. Maternal age at pregnancy was classified as less than 35 years or 35 years and older. The mean age of the mothers was also calculated. Maternal tobacco use, including smoking, was evaluated. Folic acid supplementation, a standard part of prenatal care in Iran, was reviewed through maternal medical history. Consanguineous marriage was defined as marriage between second-degree relatives (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eCategorization of the exposure variables\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eVariables\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCategorization\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCleft type\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCL; CP; CLP.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCleft side\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eUnilateral; Bilateral.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCleft location\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eLeft; Right; Midline.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSex\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eMale; Female.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eEthnicity\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBaluch; Fars; Others.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFamily history of CL/P\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eYes; No.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eParents' consanguineous marriage\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eYes; No.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eParents' education level\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u0026le;Middle school; High school; \u0026ge;College.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMaternal tobacco use during the first trimester of pregnancy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eYes; No.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFolic acid supplementation during the first trimester of pregnancy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eYes; No.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMaternal age at pregnancy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u0026lt;\u0026thinsp;35 years old; \u0026ge; 35 years old.\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"2\"\u003e\u003cem\u003eCL: Cleft lip/CP: Cleft palate/CLP: Cleft lip and palate/CL/P: Cleft lip and/or cleft palate\u003c/em\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eStatistical analysis\u003c/h2\u003e\u003cp\u003e The information was reviewed and cleaned before running statistical analysis. Mean, standard deviation (SD), frequency, and percentage were used for reporting descriptive summaries. We employed the chi-square and Fisher\u0026rsquo;s exact tests to assess the association between various potential risk factors and the development of different cleft phenotypes including CL, CP, CLP, cleft side, and cleft location. Multiple logistic regression model with backward elimination method was also performed to assess the effects of all predictors simultaneously. Adjusted odds ratio (OR) and 95% confidence interval (CI) were also reported. The analysis was conducted using SPSS Statics version 28 (SPSS Inc., Chicago, IL, USA), with P values less than 0.05 considered statistically significant.\u003c/p\u003e\u003c/div\u003e"},{"header":"RESULTS","content":"\u003cp\u003eA total of 433 patients with CL/P met the inclusion criteria. Twelve of them died after admission and were therefore excluded from the study, with severe congenital heart defects being the primary cause of death in 10 cases. Consequently, 421 patients were included in the final analysis. The patients\u0026apos; ages ranged from one day postpartum to 26 years. The majority of them were admitted for their first cleft reconstruction consultation (n\u0026thinsp;=\u0026thinsp;341, 81.0%) while the remaining patients were referred from other centers for additional surgeries or revisions.\u003c/p\u003e\n\u003cp\u003eCLP was the most common type, affecting 246 patients (58.4%), followed by CP with 124 patients (29.5%) and CL with 51 patients (12.1%). Among patients with CL\u0026thinsp;\u0026plusmn;\u0026thinsp;P, unilateral cleft (UC) was the most prevalent, occurring in 211 patients (71%), compared to bilateral cleft (BC) in 86 patients (29%). For those with UC, the cleft location was most commonly on the left in 136 patients (64.5%), followed by the right in 66 patients (31.3%), and midline in 9 patients, (4.3%).\u003c/p\u003e\n\u003cp\u003eThe majority of patients were male (n\u0026thinsp;=\u0026thinsp;238, 56.5%). Baluch ethnicity was the most common (n\u0026thinsp;=\u0026thinsp;353, 83.8%), followed by Fars (n\u0026thinsp;=\u0026thinsp;58, 13.8%) and others including Afghan (n\u0026thinsp;=\u0026thinsp;8, 1.9%) and Kurdish (n\u0026thinsp;=\u0026thinsp;2, 0.5%) patients. A family history of CL/P was present in 172 patients (40.9%). Parental consanguinity was reported in 292 of patients (59.1%). Most parents had a low level of education (\u0026le;\u0026thinsp;middle school, 287 patients, 68.2%).\u003c/p\u003e\n\u003cp\u003eFolic acid supplementation during the first trimester of pregnancy was not taken by 22.6% of mothers (n\u0026thinsp;=\u0026thinsp;95). Additionally, 19.2% of mothers (n\u0026thinsp;=\u0026thinsp;81) used tobacco (equivalent to 5 or more cigarettes per day) during the first trimester, and all of these mothers were also tobacco users before pregnancy. Finally, 15.2% of mothers (n\u0026thinsp;=\u0026thinsp;64) were aged 35 or older at the time of pregnancy, with a mean age of 23\u0026thinsp;\u0026plusmn;\u0026thinsp;1 (range: 15\u0026ndash;44) years.\u003c/p\u003e\n\u003cp\u003eThe association between potential risk factors and cleft type was analyzed and presented in Tables \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e and \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e. The results indicated that CL and CLP were more prevalent in males, while CP was more common in females (P\u0026thinsp;=\u0026thinsp;0.049). For the Baluch ethnic group, CLP, CP, and CL were reported with frequencies similar to the overall distribution. In contrast, among the Fars ethnic group, CP was the most frequently reported type (P\u0026thinsp;=\u0026thinsp;0.002).\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" 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6fb68buyAgC33XabnhSK3z7Vy1WVz+fx1FNP4fXXX8eJEycCO0rLqYMImC+MZDKJ6elpfOUrX8ELL7yAkZERPcuy6MFcEL+6qFvtNmapdT+ssG3EUvzZn/2ZngR0sCPYKWGPdz+rVR5YpTLxs9xyunHjhtvO1et1JBIJxGIxXL16NfAEst9dK/q7U/zaB7VdWVxc9K1j6FA/KRaLYXR0FHNzc7h69arnBYWrXb+XYl0GF4ZhAMCyIkt5RWLfvn36JA/19oYwPzhoBCzqlRQot2GYpun+P5vNIhKJtH0rpd9BoHr66adh2zbS6XTbiqueKRscHIRpmjh16pQnz2r4xje+AcMwms5gq9sW9sfRTzqdxuzsbNPlxHq9HthALMVSlt+uvADgjjvuQDQaxVNPPeXJX61WW+4Hecbn6aef9qTrjYIM5laDvHoxMDCAgYGBUB3a1157DVBujUmn0xgbG2vq5H/jG9/w/K2Sl9n1/a0yTRPnz5/3lFO9Xse3vvUtoHG5GACGhobc6Wic8bvjjjuAJZa1H8MwMDMzE+o4WK5HHnkEv/ALv4D5+XkIITA9Pd1Ut8Ja6fbq2ylvvRkbG/NMk/9/8MEHldzhtCtXPxcvXsSuXbsC98ty6+CWLVuAZd7epba/+/fvx5NPPtl024W+P/W/g5w/f77tUO2O42B2dta9TdVP2DZmuZZT98MK00aEJfeD/vso29blXiVcLe2O9yCrWR7ocJn4WWk5nT9/3l23t956C4uLizh06JCezbVv3z4sLi42XXU8efIkkslkqHbloYceAhpX/lU3btzw7Sfp9DZB/3tiYsJN27FjB774xS+6bfxq1+8l0x/CWE3ywRu0eKBbzZNrjFIg//Z7eEtNl2n6suXDTtBGL5Fp6m6wWryER80vHxyVD/C0y+dHzqs/xDOpvERPjm6g8nuAUn3QSI6EoD/gKL9ncnLSfcgIPiPRyGmGMgSnaGxXQhnaTD5ops4vt0nux+HhYfcBrEKh4O4P+aBUrTEqhwh42HSuMZpMQhsxIhqNevat/A617OQDW/oDYaqwy5frpu8TP/J4k2UwPDwsTG34Qv2hNDVNzmf5DAcs8+gPaPntTz/t8sl1148JoTxoKL9bHmfqA49yP8ljINcYQjGoTgnleJbHb6FQEEZjJI/x8XH34VgowynmcjnPsSiU9TMbo69YjZEzpDBl3apeyIfj1PnlMWZZlqde6GUU9viU5S8f5JP7sNX+E8p3lhvDb9q2HWp7gwQd72r9rikjlugP6frtA7/6HaZcdfIYnpubE7XG8KlynWSbt9w6qJan3D71uA/ab/KYk/OkG8OOSlZjxJjx8XExOTnpjoITbYw8U1NGFFLLK9cYVlL9Xrlt6jqm0+mmMvDbvnZtjCxfvzqtllut8VBxQhklrF3dl3VLtj9SojGyj74cuT/L5XKoNsJvPhGwH9TyEMoIX37bre4fdbsl0zRFVBmt0Y/d6G+o88n9odcxuT9kmYc53oPqf5jy0PeNujy5fKG0f3IfhSmToG30E9X6KCJkOcl6Y1mW+52yTdKPKavxe1BWRl2bbIxaVms8BK7uL1MbqKFdu1JrjDgl67X8rnbHhwjZRuRyOZFOp5vaB/n97er3Wlqz4EIe5PpHFrZKHvBoVGx5EOgHh9EIItTp+o6UjaX6kQUjK7z6UQ8knd+y/NZfHiT6uqj05agfozFiiTw4VfLglh9Z+eVBCJ/xrIUWyMgGUv2o36VPkyYnJ92DF40fG78fW/UAn2sMzalX0rlGx0fmkQ2E/Kj7bk4Zq9vve9VpaOwTv7Qg7Zav7/N2yxNKpZfLUxvWoHWraeNjW9p4//o6QBsJRt2fQdrlm2u8w8KP2RhZRK5/1GeMb9Gom/IH0vAZf19XUzpwZmPoW7kf1GNmUhlvPeHTAZU/KnLd9DogQpS1vn/1Oqiug9kYY1w25LZtNx0rQceiX5pQRnjS18NvXVTqj5pez1ptrx99G9T1E9o+kPtZPU71+c3GsKZ6mt/y/MpVN6e800d+dyKRaDqml1IH1X2rzmdZlvsjXygUPMtQWY2RxOTy9O+TnSK57fKYV9t5uY9kZ1Lm1feH3L/yWJf/b7V9YdoYv3LT09DYV3qa1Kru6/P4LUfuC7ltsg6HbSP0+fT9EFTOhmG4HVihnbxstb6i8dsr20U/fvMtJS3M8R5U/5daHiLkcaAew/JvvzIJ+g4/eh9FalVO0nhjGF0EtElCOXFgKO/vgE8gLbfJUIYNVrVqV4T2O4RGm9Zqu6UwbYS6nXLZavvQqn6vtYhY7kMNRNRzJiYmsGnTJt9L3fI2v+npaX0SdUC9XseLL76IEydONKXLy+yDg4OeadQ75D3s5XK55W2w+Xx+Rc8j0urIZDKhb7Em6nXr8pkLIro5zpw54xtY0Op75JFHfB9S7Ovrw1133bWs4WiJaPVNTEzgF37hF/Rkog2LwQXRBlav15FKpZDJZJDJZAKHn63X67hy5Qrq9XrTQ2bUGfV6HS+88AImJibcB5wrlQqKxSJ+7/d+j0Ffj5MPyL799tv6JA/5joXVGPqclm5iYgJ33nlny6tNRBsNb4si2sDq9TruvfdeLCws4Pnnn/d9yZi8XUPV7tYNWjp5W9T58+fdIWRN08Thw4cZWPS4VCrleSmYaZq+tx/qoxXmcjneKkdE6w6DCyIiIiIi6gjeFkVERERERB3B4IKIiIiIiDqCwQUREREREXUEgwsiIiIiIuqIrg0uqtUqRkZGsHnzZnfYRvo7U1NTyGQy7ovPiNaLldTdqakpZLPZjhzXlUoFkUhkyevQCZ2un6lUqmPLWgrHcTAxMYF4PN52P9brdWzevBn5fF6ftO45joN8Ph9qO4NMTU1h586diEQiiMfjXf/CtW4uT1W9XkexWEQqler6bSFaL7o2uLjlllsAAIuLi/qkNbcefyRuvfVWzM7O6sldyXGcZf+g0/qz1Lqr1q9bb70VMzMznundaCX1c721Nzdu3HCHzl1ra70vlrudU1NTePzxxzE9PQ3bthGPx5HNZkOvP9vAztL356233uoZCvhmC3tcEK1XXRtcxGIx37fZ3gzHjh3Tk266ZDKJeDyuJ3elkydP6knUxZZSd4vFIq5fv+7+3cnjOplMQghxU97XsZLt8Gtvpqenfd+LsNpisRh2796tJ/vq6+vDwsJCx97LoB8bq2kp2+nn1KlTiMfj6OvrQywWw/T0NBYWFnzL0s96bAM7XZ5rSd2ffX192L9/v2f6zeQ4Ds6ePasnE3WVrg0u1otsNrvss1nUXrFYxNjYmJ5MG0C1WkU2m9WTNzS2Nx/ohWMjbFmyDeys9bw/6/U60um0nkzUfcQqm5ubE+l0WgAQAEQikRBzc3Pu9EKhIEzTFLlcTszNzQnTNAUAYZqmqNVqnmWVy2WRSCQEAGEYhvv/crnsyacqFAoinU4L0zR9l2/btptmGIZn3Wq1mrAsS0SjUXd6oVBwpw8PD7vbJT+S+l3RaFQMDw+708rlsrAsy10nwzDc7x4eHhbRaFQIIUQulxPRaFREo1HP9wohxOTkpLv9AEQ6nW7aX6ZpCtM0PWm6dtsoyXXRt9cwDDePXFarddK12o7Jycmm7/Mra9u2xfj4uDAMQ5TLZXcfRqNRkcvlPPnktFqtJkzTFNFo1F1mqzKTWu2HWq3mWY/JyUlhGIYA0LSsTtYLdR+q25zL5TzrqO4LNT1IJ9dxqXXXtu2m/SzXXx7X6vFmGIawbduzjFblqR8zonH86scRADE+Pq4s9QNh8qrHir7vRED9zOVy7jGjr3NQezM5Oem2Jzq5jnIfqceAvg2tjtdCoeDZFsuy3GnlclmgUZbqMvTvUo8X4VMGQfVW1+rYENqxFo1GhWVZTcejH/141+dTt1OlbrOhtZ96HUSjfgSVpc6vDZTHtPwE1Wv196RWq7nbZhiGmJyc9HzPUttuv/JcyvHkR90npmk21btW5SrLRs4r6Wl++1OWJxr7Um/LdK3aFdHmN0009pM6v2ma7jqo8+nf3+o4U8tC1tV0Oi3KSl9Dby/19oiok/xbtA4yDMOtXLZtC6PRsRCNSiYrezqdFpZliXK57DbIauMyNzfnSSuXy+4PjN7YS7VazW101MoolyUro7pu6XTand+yLGE0Oi1q46w2FHJdVXONgEGu1/j4uIDyI1Aul939kMvlxPj4uEgkEmJyctL9juHhYVEoFNy80UbAIRo/rvry5Dwq06fzoguzjfIHSjZGsoFSy6dWq4lEItFUPq2+P8x2yLSgMhaN/S1/mNLptCgUCp4GXi13uX25XM7NMzk52bbMRIj9YNu2ezxYliVyuZwol8vud6qNeafqhfwhkest94PcZjmPfmzUajURjUabOuSqTq3jcuqupJeBaBzX8liT6yY7G1K78pybm3PXVebRy29yctJtI3Tt8lqW5XZ+bNsWiUTC7eRJev0sFAqe9ZHLVzuCMk2SbZxhGE11bXh4WCQSCbeM5T6Q+0nfhqDjdW5uznOsjI+Pe76rrNRb/TiU89i27R4vahmEqbdB/I6NyclJT32Qx1oikfDse53cRnmMynVVjym5neoxWygU3H1cUzpvah7hU9bCpyyD+H1vmHpdLpeF2ejEDg8Pi8nJSbe9UMtmuW23Xp5hjyc/8piq1WruflTLNky51mq1pnrgl+a3P0XjeJLHoVCOAfU4bNeu2CF+09LptPu3bBvUdfE7VlodZ3pbPD4+LoaHh4XZCFpkuy3bKTUv0Wpp37KtkNpgC+VHR6VXPpmmNi6GYXgaeqEsS28kdPA5A+FXgWVDLKXTaU8FlJXSr5FXqQ2UJDsXkmmawlDO+ktyeeoPof4dsrOmNtaJRMJ3e/Q0XZhthPYjK9PUZY+PjzflkeUT9KMSZjuCfgh0Mp/aEZM/tOp+lvtS/rBKYcoszH7wWw+/behUvYhqV7X0jrwIONYKhULTsnWdWseV1l29A2k2ggs9TS2HMOXpVy4yTZ/XT1Be2QFRyXqll4teh9T1q9VqTduvtwWSvizZyVGPQ9HYL1DqXJjjtdzooKjUbQ6zDEnfHr95/eqtH31ZonGs6cej7ACq+14nA2RVtHH2V/LbJtmRl2SZ6R03vXxEi7LU+X2vCFmv/X5P5PLk9i6n7Zb0MvArz6D1V+VyuaZ1UI+xsOXqt5/1tKD1QYi2rF27EuY3zTRNzzJkIKhO17chzHGmlqnKDNFeEnXaqj9zsbCwgKNHj6JSqSCbzeK5557TswCA7wOeFy9eBBr319q2jT179nim+83TScViEcViEY7jYGRkBD//8z+vZ/F1/vx5HDx4EJFIxP3Mzs5icXERjuO4+Vo90NnX16cnuaNb7NixA0II7Nixwx1CbyUjz7Tbxmg06llvKRaLuf//+te/jrGxMc82y7J+6623lLn+Tie3Q7r11lvd//f19WFgYMD3vmZ13RGyzMLsB0ldD+ny5cvu/ztRLyqVChYXF7F161Z3mtynR48eddOOHTsG27Y9I5CcPXsWn/70p92//XRiHVer7vrVj3q97v4/THm2ou7TdvS8pVIJtm17vvv+++8HGvsjyNGjR7GwsIB6vY6JiQnce++9epbQLly4AAD46Ec/6kn/1Kc+BTTWUdXqeL3jjjuAxnC3sg3KZDKevAhYxnvvvacn+Qpbb1upVCqwbRs/+qM/6kk/cOAA0Gijgpw/fx7bt2/3pC0sLLQctUfWP8Mw3HL+8Ic/DAArbsfCWEq9VutLMpn0tGXLabvb8TsW1PZPt3v3bhSLRWSzWXe95DG2knJdKr926caNG+7/27UrYX7THnroIWSzWeTzedTrdcRisZaDSizlONOPYcmvvdTbAKJOWvXgwnEcpFIpfPazn8WePXuQy+X0LG29//77gM+P+Gqr1+sYGRlBIpHAtm3b8JWvfEXPEqhcLkN8cGXI8/HriC5HpVJBPB7HK6+8gmPHjsE0TT1LKGG2cXR0FKVSye1YyB+zQ4cOefLlcrmm7RVC+HZEpE5tR5C7775bTwrUrszC7ocwOlEvwkomkzBN0x2ZplKp4Lbbbmt7LHZiHdey7uo/tO3KczWZptn0vUIIjI6O6lk9JiYmcPvtt+P69esdGXJX7n/Jr9PXTl9fH/7gD/4A+/btwwMPPIBUKtUySFL94R/+oZ4UylLqrU7tDCKgY9VJehkLITA/P69n67jl1msA2LVrl+fv5bTdnZRMJt36axgGstms52QBbkK5Sm+88Ybn73btSrvftKNHj+LVV1/FxYsXcfvtt4d+t4b+fWt1nBEtx6oGF/V6HYlEArFYDFevXl1xQ/Xtb39bT1pVjzzyCGZmZvDd734XR48eXdIP8ze/+U09CVNTU3rSslQqFfT39+P48eMoFostz3q0E2YbM5kMLMvC8ePHEYlEcOzYMUxOTjZ972/+5m96/kbjGJCdcV0ntyOI/oPUSrsyC7sf2lmLeqGfcVXPcp47d849gx1kLdZxtbUrz9VUKpWaOkdo8/35fB5PPfUUXn/9dZw4cSJUJ7GdP/uzP9OTgIAztK309fVhcHAQ3/3ud3Hbbbdh7969oa4ALddS6q0uaHja2267TU/yePPNN/Wkpnrkx69M/dJWw1LrtaQfm0ttu1dDLBbD6Ogo5ubmcPXq1aaXQi63XDutVbsS9jctmUxienoaX/nKV/DCCy9gZGREz9LE75jySyNaD1Y1uHjrrbewuLi4rDO7qi1btgAdvvwZRqlUws/93M8t+QxJOp3G2NhY09m9b3zjG56/l0teXl5phw8htzGfz2P79u2Ynp52z5bo44I/9NBDmJ2dbfoxfvHFF93bKnSd3I4g58+fh2VZenKTMGUWZj+E0al6cccddyAajeKpp57ydBaq1WpT50w9yzkzM9N2vTu1jjer7oYpz9Uiz1Q+/fTTnvR2HYGLFy9i165d2LFjhz5pyeQ6nDp1ypMub1O67777POmtVCoVt5PZ19eHYrGIxcVF99ar1RC23qrk7T5jY2Oe+iD//+CDDyq5vUzTxPnz5z2d6Xq9jm9961uefCr5fc8884zn+xzHabpio3fmO2Wp9RqN9ZudncXhw4eBZbbdnTYxMeHuox07duCLX/wiZmdnUalUllyu+r7W/16Jdu1KmN809UrF/v378eSTTwbecoolHmdE68WqBhfyTbznzp0DGj9S8l7sqakpTE1NuZVUpkNpDOS/sVgMw8PDKJVK7uXSer3uzvPtb3878CyaTNcbpfn5eczPzzelq/NEo1H85m/+Jur1OhzHcbfj29/+NiYmJgDlDGClUkG1WoXjOHjqqaewuLiIj33sY+69lfF43O2oye8vlUpNjZQ8e6b+yMmOouwYyO+UPwbFYtHdlomJCTiOE7iNujDbePHiRbzwwgtIpVJIpVLIZDLI5/OeH6MDBw7AMAwcPHgQqVQK+XweqVQKmzZtCgxcwmyHPIYuX76MeogzaZ/97Gfd8svn81hYWMATTzzhTpf7V26b1K7MEHI/yDP06v3FstxkOXaqXvT19eHJJ5/E4uIi7r33XuTzeYyMjGBoaMi9H1klz3J+/vOf1yc16dQ6rqTuonF8qt8rj+srV654jmv9e8OUpywr9aqK/P+v//qvu2lBgvLu2LHD7YTE43Hk83lks1mcOnXK7fz51c/bbrsNV65cQbVadesAAFy7ds3tkPi1N37L2rFjByzLQqlUcpfjOA6eeeYZDA8Pu1dFwhyvaNQrWffkv/KlcmGXIY8XvysE7eqtH/3YQOPWxcXFRTz99NPusfb0008jkUi07PDJW4seeOABjIyMuO3XJz/5STeP3/Hy/PPPY3Z2FrfffjtGRkYwMjKCgYEBz3MP1WoVs7OzTW2xX1n6adcGhqnXat0bHh727I/ltN0IKM+wx4Luxo0beOyxx9x9cPnyZUSjUTe4CVuusVgMs7OzmJiYwNTUlHtF4MqVK6hUKqjX6777M0xbhhDtSpjftIsXLyLfeN6iXq/jzTff9Nw6JduBer3uHtftjjO5/qdPn/asbz1ke0nUcfoT3p0mR52Qw7fJUVOGG8MWwmfMaT1NyinjxluWJYYbQy0WCgXPaBiS37KWklZoDNsnR82xG0Nemso4/rXGMH76qD1lbVx/dfQMv+8SymhV8pPL5XzTaso42aZpClt5f4Nch6Dv0IXZxkKhIIzGcLj6ctWRNGzbdkejibYZq1409l277RDKkK/6SB4qWYbpdNpdT7PxHhHJb1/qywgqMxFiP8iRWeTHbAxNqqeJVawX6Tbj00e14VBbWa11DFN3pUJjeFZ5POrL9/tOeay3Kk+9XILKL0i7vLVazT2W4fPOBL91lqNMobGPZdtiKGPS+7U3+rJU6n43DMMzso7fNvillZUhTeVy5Hf75fdL08tJ7q8w9TaIfmxIk8r7AKKN9xC0OsYkdb6E9l4Sv22SxpV3iejrrs8Hpd3xK8sg7drAoHotv1/OL/+v511q2+1Xnvq2BqX5GW8Mxy7z6ftfhCxXObSr/C75G2M1hsqW1P2pbwsC2hWpVbsS5jfNagz/Lpert9lzjWGR1XovWhxnrdZVT/fLq+4Xok6JiA8OQKJAIyMj+KVf+qWms1hTU1M4deoUpqenPek3Q6Vxr2u5XA68z3WlumE/tFKtVjExMdH2oWKitbIW9bbXtarX+XweQ0ND4M88Ea2lVb0tirpfPp/HG2+80dShBoB77723Iw+ddoNe2A8TExOeIWqJqPuxXhPResPgglq6ceMGSqUSRkZG3HtWq9Uqpqam8PTTT+PZZ5/VZ7kp5D2+b7/9tj6pI7plP+iy2SxSqRRGRkawsLDQkYeFiTpltettrwpbr+UzBEHPcxARrQr9Pikind/9sLnGsx/rgXo/OFrc17tS630/+JH3Ufvdn0x0M61Vve1FYeq1um/h84wZEdFq4TMXRERERETUEbwtioiIiIiIOoLBBRERERERdQSDCyIiIiIi6ggGF0RERERE1BEMLoiIiIiIqCMYXBARERERUUcwuCAiIiIioo5gcEFERERERB3B4IKIiIiIiDqCwQUREREREXUEgwsiIiIiIuoIBhdERERERNQRDC6IiIiIiKgjGFwQEREREVFHMLggIiIiIqKOYHBBREREREQdweCCiIiIiIg6gsEFERERERF1BIMLIqINpFKpIBKJNH2IiIg6gcEFEdEGkkwmUavVkE6nAQDDw8MQQujZiIiIloXBBRHRBtPX14e7774bAPCJT3xCn0xERLRsDC6IiAho3DKVzWaRSqVQrVYRj8cRj8dRr9dRrVaRyWTc26h27tyJarXqzlssFpFKpZDP51GtVpFKpRCJRJBKpVCv1z3fQ0REvYvBBRERuWZmZlCv11EqlfD5z38e0WgUN27cwMMPPwwAqNVqsG0bi4uLePTRRwEA9Xodt956K0qlEt58801MTEzg2LFjyOVyKJVKuHDhgvYtRETUqxhcEBER0HgeIx6PY3FxEYODgzh69CiuXr2KWCyGhYUF7N27F319fYjFYkin05idnQUat1nt378fAGAYBkZHR5FMJjE4OAgAuHHjhud7iIiodzG4ICIij3g8ridhYWEBR48edW+deu655/QsAIBNmzbpSbh48aKeREREPYrBBRERteU4DlKpFD772c9iz549yOVyehYiIiIGF0RE1Fq9XkcikUAsFsPVq1eRyWT0LERERACDCyIiauett97C4uIiDh06pE8iIiLyYHBBRLQBvfnmmwCAb37zm25avV7H/Pw8SqWSZ5jZW265BQBw7tw5oDFkrXyOYmpqClNTU25+9fkKOQQth6IlIto4IoKvZiUi2jAqlQr6+/v1ZAghEIlEPGnlchnJZBIAMDIygueeew6GYeDs2bN47733cP/992N4eBif+MQnmpZZLpeb0vhzQ0TU+xhcEBERERFRR/C2KCIiIiIi6ggGF0RERERE1BEMLoiIiIiIqCMYXBARERERUUcwuCAiIiIioo5gcEFERERERB3B4IKIiIiIiDqCwQUREREREXUEgwsiIiIiIuoIBhdERERERNQRDC6IiIiIiKgjGFwQEREREVFHMLggIiIiIqKOYHBBREREREQdweCCiIiIiIg6gsEFERERERF1BIMLIiIiIiLqCAYXRERERETUEQwuiIiIiIioIyJCCKEn3myRSERPIiIiIiIiH+upO78ug4v//b//N773e79XTyYiIiIionVsXd4WdeLECdx///348pe/jGvXrumTiYiIiIhoHVq3Vy5eeeUVTE1NYXJyEtu3b8f+/ftx//33Y+fOnXp2IiIiIiJaB9ZlcKH7nd/5HTfQ+Ou//ms30Ni/f7+elYiIiIiIbpKuCC5U3/72t91AY3Z21hNo/KN/9I/07EREREREtEa6LrhQ/cVf/IUbaExNTWHXrl1uoPEjP/IjenYiIiIiIlpFXR1cqIQQnkDjQx/6kBto/MRP/ISenYiIiIiIOqxnggvdlStX3EDj+vXrbqCxf/9+fN/3fZ+enYiIiIiIVqhngwvV//gf/8MNNKanpz2Bxg/90A/p2YmIiIiIaBk2RHCh+qu/+is30JiamoJhGG6gkUgk9OxERERERBTSunyJ3mr60Ic+hHQ6jf/4H/8j/vIv/xLPPfcc3nvvPXzqU5+CYRj4N//m3+Cb3/ymPtuGUiwWEYlEPJ98Pg8AyOfzcBwH2WzWnZZKpfRFtKQvv1gs6lmIiIiIqAttuOBCt2/fPpw8eRJ/9Ed/hFdeeQVbt27FCy+8gFtvvRWZTAa/8Ru/gVqtps/WsyKRCA4ePAjDMCCEcD9y2tDQEABgdHQUhmFoc7dXLBbd5ZfLZQDAsWPH3GmVSkWbo5njOG6wQ0RERETrx4YPLlQ/+qM/iqGhIfzu7/4u/viP/xgDAwN49dVXsW3bNvyLf/Ev8IUvfAFvvfWWPlvPiEQiAADLsjA/P++ZNjg4CNu2PWnLcfbsWff/W7ZsAQDE43EAwMGDB91prWSzWT2JiIiIiNYBBhcBfuAHfgD/6l/9K1y4cAHvv/8+fvEXfxHz8/NIpVL4Z//sn+HJJ5/EpUuX9Nm6ltphf+KJJzzTpFgsBsuy9ORli8ViEEJgenraDWzaSaVSKJVKejIRERERrQMMLkL4e3/v7+Ff/st/ibGxMfzJn/wJTp8+jb//9/8+fumXfgk/+IM/iE9/+tN4+eWX8Td/8zf6rF1jbGwMAGAYBmKxmD7ZNTo62nI6GgGAfJ5CDVri8bgbGNi2jUgkgkql4gks+vv7EYlE4DiOmyap8w8NDSESieCRRx7xPL8hr4Lk83k37Vd+5Vc8edRpfldB1OlyeURERETUHoOLZfj4xz+OX/3VX8Xs7CwqlQo+9rGP4cyZM/jQhz6EBx54AOPj4/jTP/1TfbZ1S33OYaWdaRkA2LaNcrmMsbEx9/mI+fl5mKYJNIIY+SxHoVBw5y+XyxBCNAUwjuN4bqnK5XIQQuCrX/2q52rKzMwM0LiNK5fLoVwu45lnnmm64iKEgGEYnvVD4wrO0NAQCoUChBCwbXvJD6wTERERbVQMLlZIHWFqYWEBhw4dwuXLl/Gxj30MP/7jP45nn30Wb775pj5bTyoWi7Bt2736kUwmgcZVhiAyTzuxWMx9RkOnPlyuX4nwW/7g4CAA4MiRIwCA06dPA40ARl7B2bVrFwDANE2USqVQD5oTERERbXQMLjpIHWGqXq/j+PHjePfdd3Ho0CHE43E8/vjj6/J5AbXTrj/IvRTyGRR5y5N6u5PfbU6ddPz4cQBwA4FisYjdu3fr2XzZtg3HcXDlyhU3zTAMRCIRt7zefvttZQ4iIiIi8sPgYhXJEaa+853v4Ld+67ewZcsWHD9+HJs2bcLBgwfxla98BQsLC/psay4Wi7m3K8mO9krow9j63ebUaZlMxr16ce7cOVy/ft33qkVYtm171j+TyehZiIiIiEjD4GKNyBGmyuUyvvOd7+Cnfuqn3IDjp37qp/DFL34R//2//3d9tjUj3zUBACdPnvRMU+m3Ham2b98OLCNA2bp1q57kq12AIm9zGhsbw7Zt2/TJgeRtXOp6qFcxiIiIiCgcBhc3gRxh6rd+67fwV3/1V3j88cfdgGPHjh0YHh5e83v8k8mk+2D12NhYUxDhOA4ikQgOHTrkSVcdOHDA/b86fyqVWlKwoX93EPm2cEk+S4HGlYwg8o3g8lkLGZQkk0n36of6zo18Ps+3iBMRERGFIWhduXz5shgZGRE/9mM/Jn7wB39QPProo+K3fuu3xN/8zd/oWVeNZVkCgOdjGEbLPJZlCSGEsG27ad5yuSyEEMIwjKZptm03LU/m91MoFNx8uVxOnyxyuZxvurp8/f86fT39lkdEREREzRhcrGPf/e53xZe+9CUxMDAgvud7vkf8zM/8jJiYmBB/+qd/qmelhlwu5wYsKjWgoGZ+QaFpmkIIIcrlsigUCk1BF4Ov9UEP9KEE6JZleQJyv49+4oA6K5fLNe3zQqEgRKN8yuVy03T58WvL/JanfmS9paUJat/0z1rUF9M03e/zOwHW6/zaNPWzFvtEXQfWqaVjT6tLvPvuu+KrX/2qeOSRR0Q0GhU//uM/Lo4fPy7efPNNPeuGo1b+oI4ug4tg6g+Z2plROz2yM6QGIWxwby61fPQfW1mmakfIrw6oHSq/jiwtX6u64lcWatAg61srfmUs51eXS+EYhuHZ7377MpfLLSu40OtnGPK7lzNvr5Dtk6w/ap1aTjkslf79FB6fuegSmzZtwqFDh9wRpn7lV34FtVoNmUwGt99+O37xF3/RfYHcRiKfuZifn0elUlnSg9z0wfMwpVLJHeFLfWg+mUxCvmyQ1pdKpYL+/n6g8RLK0dFRz/Tp6WnPyymDqC+mbDWQAy2N4zhuvcnlcpienvZMHx0dRblc9qR1glrm6stBqb2BgYGWz+qh8VzfwMCAntxSpVJx359EKxOLxZDL5YDGwDF8FnL9YnDRpe677z53hKnf/M3fxPd///fjV3/1V3HbbbfhkUcewVe/+lUsLi7qs/UcOYyubds4fvy4749DsVj0NO6RSGTNH5hfj4rFovseD/meED+tptHNcfjwYaAx0pnfMY/GoAbxeFxP9lDfcbOUQReoNXVQCnWgCVUymXSHAO8UdcS7a9eueaZRa3qAHiRsPmgnAagz1BOI169f90yj9YPBRQ/42Mc+5o4w9e1vfxs/+ZM/iQsXLuAHfuAHMDAwgC996Uv44z/+Y322njE9PQ0hRNPZQSmTyXjeWSGEWNE7MHqFetZavpHcTyaTCezA0tqrVCqwbRtonG1tJahOSO+88477/3ZDPVM4juO4QXu74KFd+SyV+rJPOTQ4rZ5KpeK+MDYSiSCVSrnTisWiJ7CIRCKeYD+bzXrm5ZWmcNSAwu9OBX2/yjJR06V8Pu/J226kSnUZchRMdX79Sko8Ht+w5cvgosf843/8j/Gv//W/xte//nW8//77yGaz+KM/+iPs27cPP/ZjP4aRkRH83u/9nj4bbUDq2+LZsewely9fdv+/0g6kvAICAE888YRnGi2P+o6cta5X6hDaQVdMqDPkVQl5S2m5XEapVHIDiK1bt8KyLDe/EALz8/NA43bUsbExCCHcEwVDQ0NNnVPychwHQ0NDQIurtqOjo56gXgbwMv2Dx1k+CBSGhobcF+aiMQx/qyBgdHTUc5twLBYLvL0xEom4yy4UChuufBlc9LC///f/Ph588EGcPn0ab7/9Nn79138dAPALv/AL2Lp1K44cOYJXXnkFf/u3f6vPSkQ9TJ5Ns23b/cFd644wdYZt254zspZluZ0lWj3ydlF59VBeDZfPAoS5Ot6qI0t/p1QqIRKJeJ5jkoGaH/XWNbmPK5WK52SKtBrPmsnvlEGOvDNAfVlxr2NwsYH883/+z3HixAn81//6X3Hx4kX8yI/8CEZHR3HLLbfgoYcewr//9/8ef/Znf6bPRj1KPQPTyfvti8Uin2lZReqtAMu9r169RbDTt+ZsdOpzD52sVwh4wag8cy4/S3kmgJZPXvn1u3p46dIlPclD3sq7bds2TzvMZwj8yRMg8tPuqpx8FhPKy3LPnTvnudIxOjoKIQQOHTrkBuZYQZuqunjxIuATFMmrVBsBg4sN6od/+IfdEab+/M//HAcOHMDv/M7v4M4770QymcRzzz2Hubk5fTbqIfLN5NBu5Vips2fPeh4Ups5SfyA34ghx610ymXQ7E+qthyvlOE7HgxW6eSKRCI4dO7ahOpxrSV4lsG078GRXPB5Hf3//ql3p04Oi1fqe9YjBBSEajbojTL377rv45V/+ZfzFX/wFfu7nfg7/9J/+U3z2s5/Fa6+9ps9GXU49+9Pqcm0+nw/dqZEPs/IWm9UVdjhGvzPdtPrUEdZa3fqylPK5cOEC69U60mqI7j179gABVzXQ6NRCO8FDnaUG+f39/U3PlKVSKdi27XkuJox2I/BBedaqkycXug2DC2oiR5j67ne/i2KxiA9/+MN45plnsHnzZvz8z/88zp07hxs3buizUReSZ81s2/ZtNGWaX6fG757XVj+41DmDg4Puj+LBgwebAoxisYhIJMJbZG6STCbjBoBDQ0NNAYYcZUjv8Ej67THFYtF9kJXWBznanrztRp4dD3rQGI1g0nEcz9WKTl41Ji8ZvJmm2fQbpnb8g65stCJ//86dO6dPwqFDh9z/qycQ/H5je5b+Vj2iIH/6p38qJiYmxM/8zM+I7/me7xEDAwPiS1/6kvjud7+rZ6UuUygUPG+klR/1rc3q25xbfdbizan0d/zKRX2rb1DZbuQ3/64l+SZt9aO+8Vd903q7Ty6X87zJW59GK6e+PV39+NUXvez83uSs1k9JPSYsy/LkKRQKTcfMRivboDII8+Z6lXyjt9986neYpunZ57lcrmkdZPmrbwmX6erf8jdTPzbUaRtBRGykm8CoY/7X//pfmJqawtTUFCYnJ/EDP/AD2L9/P+6//378+I//uJ6diIiIiDaArr0tKpVKeV5e4vfxu59V3i6gX6b2oy4rTH6d/oIVv/XpVv/gH/wDd4Spd955B6dOncL/+3//D5/5zGfwkY98BEePHsWrr76K//N//o8+KxERERH1qK4NLuRQbpI6HF+hUAAaL0RR35gJn/skW1nJKA6O4zQNPzY2Nhb6wdh21lugIkeYqlar+O3f/m189KMfxalTp/ChD30IP/uzP4uXXnoJ//N//k99NiIiIiLqIV0bXLSSyWTcMY5LpZLnYR35EpXVHqXhwoULnr9loKE/VLQclUoFY2NjevK6IUeY+u3f/m288847+Nmf/Vk34Ojv78cLL7yA//bf/ps+GxERERF1uZ4MLtCiE5/JZEK9hKXT5ufnOzLGcaVSQX9/v568bskRpgqFAm7cuIFjx465AcdHP/pRfO5zn8N//s//WZ+NiIiIiLpQzwYXqmQyCTRuJZLPP6i3S8Xj8dDPV+jPevjJZrOeYQMNw3CHitSfw/Bbhp5H3gJVLBY9gUUkEvEMbaZuXyQS8QxPmc/n3XQ5j/x7OcOwLZdpmjh16hTm5+dx7tw53HbbbTh27Bj6+vrwqU99CsViEe+9954+GxERERF1gZ4MLorFonvbkPrcxOjoaNM4/Pl8HrZtw7ZtCCHcscmDyHHjC4VC4JWI0dFRz3Js20Ymk0GlUoFhGMjlchBCuOPUqwGCzCOfITFNE2NjY8jn89i6davnhS9CCHes5Ww2i7GxMc+yDx486AZKg4OD7q1iaAQWch0vX77spq+lu+++G08//TT+y3/5L5ibm8Pu3btx7tw5bN68GZ/4xCfw7/7dv1vRcy9EREREtLZ6Jriwbds9E3/w4EG3kx10e5R07do1QHlAenBwMPCWqWKxiIGBAQghAl+SE0arlyHJN7vKZ0L27dvnTpNXYHSO47jB1O7duwHlDaF+3yUDqQMHDgDKPDfTRz7yEXzmM5/Bq6++ir/6q7/Co48+irm5OSSTSSQSCfzyL/8yfv/3f1+fjYiIiIjWkZ4JLuSZfmloaKjprbV+5JWIUqnUdCuRamhoCAcPHoRt24F52kkmk+6IVvF43Pfqiv66+MHBwbbPiKhv+NyyZYtnGnzePqk+XC6ECAxabpZ/+A//IR5++GF3hKkXX3wRf/u3f4sjR47gh37oh2BZFv7Tf/pP+L//9//qsxIRERHRTdQzwYVULpfd/x88eDDU0K/qLUoHDx70HeY1l8t58iyXfPbh+PHjnlucdPKKCn1wFUaOMDU9PY14PI4vfelLuOWWW3DgwAH8h//wH/Dnf/7n+mxEREREtMZ6LrhIJpOe5x0GBgY804OMjo563kfhR31mwy8AaadYLLq3KQXdViWXPzMzo08CAGzfvl1PwtatW/Ukj/V2ZWIl7rjjDneEqevXr+OBBx7AzMwMfviHfxg/8RM/gVwuh29961v6bERERES0BnouuID28LJt2y0DgXw+7z70HIvFYJpm00PfKtnpHxsba7lcP5cuXfL87RdAyGcubNt218txnKaXAUrZbBbJZNK9CiLfryG/q90D6t3swx/+sGeEqSeffBJvv/02HnzwQfzIj/wInnjiCVy8eFGfjYiIiIhWi+hSpmkKAE2fXC7n5tGnPfLII56/LcsSuVxOWJblSQ+av1wuN+W1LMvNL+l5AIhCoSDK5bInLZfLuf83DMOdv1AoePKp04QQwjAMd5pK/95CoeBOU7/Lb95ec/XqVfErv/Ir4t577xUf/vCHxac+9SlRLBbF+++/r2clIiIiog6JiKDxVIl6xJ/8yZ9gamoKU1NTmJycRCqVwv79+3H//ffjn/yTf6JnJyIiIqJlYnBBG8pf//VfewKNbdu2uYHGrl279OxEREREtAQMLmhD+93f/V030Pirv/orN9DYv38/Ij5vTyciIiKiYAwuiBr+6I/+yA00rly54gk0vv/7v1/PTkREREQaBhdEPv7yL//SDTSmpqaQSCTcQOPOO+/UsxMRERERgwuicNRA4/u+7/vcQOMnf/In9axEREREGxaDC6Ilunr1qhtoXLt2zQ00HnzwQXzv936vnp2IiIhow2BwQbQC165dcwONnTt34t/+23+rZyEiIiLaMNZlcMFReoiIiIiIwllP3fl1GVwQEREREVH3+f/0BCIiIiIiouVgcEFERERERB3B4IKIiIiIiDqCwQUREREREXVE1wYXqVQKkUik7adYLOqz+orH4+48+XzeTZff4ziOJ/9achwHkUgEqVRKnwQAKBaLnm1W15+IiIiIaK10bXAxPT3tGXbLMAwIITyfpZiZmdGT4DgOSqUSAODChQv65DUjv7tUKvkGOZlMBrZt68lERERERGuqa4OLMMrlsp60JLFYDKZpAgAOHDigT14z8rtN00QsFtMnExERERGtCz0ZXOTzeTiOg2QyiUwmo09eEnmF5GZ26mOxGIQQmJ6e1icREREREa0bPRdcOI6DoaEhPRnweU6jUqnoWTyCnt2Qz0DITzab9cznR80f8XmGI2iZ+vMUKnV7buZtW0RERERE6KXgwrZtRCIRGIahTwIaHfFSqYRCoQAhBEzTRH9/f8sHvv1uq6pUKjAMw33GwzRNjI2NBT5ELYMGy7IghEAulwMaz4hIrZaZyWRgWZayxA/I7cnlchBC4Nq1a3oWIiIiIqI11TPBheyY+z3YXKlU3Aezd+3aBQDYt28fAODYsWOevO0cP34cAHDkyBFAWU47Y2NjTVcrpKUuU92e3bt3AwCeeOIJLRcRERER0drqmeBCisVi7tUB6fLly57pKtu2Azv9fmSnXhocHIQQAoODg550ST4vIYRANpv13LIlv3epy3z77bfd/2/ZssUzjYiIiIjoZum54AKNzrkeRHTaUm5Dks9N7Nu3rynwUS1lmURERERE601PBhe6bdu26UkuwzCWFIjIZyX83ovhp1Kp4ODBg0CL4WyXusytW7e6/3/nnXc804iIiIiIbpYNEVxkMhn3fRXyAe6LFy8CyvMOYcn8tm27D3E7jhP49mz1liwo36ta6jKTyaQbkJw7dw7QXvI3NDTUdiQsIiIiIqKOE13KNE0BoOljWZae1aXPUy6X3WmGYXimFQqFpmXL/Po0wzCUb/GybduTN5fLef6WgpYZlC4+eAW5+7Esy/2XiIiIiOhmiIgPOqlEREREREQrsiFuiyIiIiIiotXH4IKIiIiIiDqCwQUREREREXUEgwsiIiIiIuoIBhdERERERNQRDC6IiIiIiKgjGFwQEREREVFHMLjokEqlgkgk4n4cx9GzbBjZbBaRSIRvCSciIiLaYBhcdEgymUQul9OTu0Y2m9WTQtPnHRsbAwCcO3fOk05EREREvY3BBaFSqbgBwVLpgQUAWJYFADh06JA+iYiIiIh6GIOLDa5SqaC/v19PDiWbzfoGJaOjoxBCIJlM6pOIiIiIqId1dXCRz+c9zznE4/GmdJmm5svn8wCAeDzuSfN7ZsJxnKZ59WW3UywWPcsIStef29DzpFIpZakf0LcBPuusf4/ctmKx6AksIto2yWcn9OUDQCqVcgOLsbExd7rf+sBnndTv0acFrS8RERERrXOiS9m2LQCIXC7n/m0YhjvdNE0BwE2T+fV5ZJrcFYVCwfO3nmaaphBCCMuyPH8LIUQul3Pz2bbtSZPfaRiGZz3lctRlGYbhplmW5VnPQqHgzuu33nJ6uVx2p8s8crnye8rlsuf7VXL/CW0/+S3fsix3vnb72e9vfXkyXV9fIiIiIlrfuvbKxTvvvAMAGBoaguM4iMVimJ+f17OFJh/GzmQyblqxWFRyfODYsWOA8jxBqVRqeWZ9aGgIALB7924AwMDAAGzb9l329PS052/TNDE6OupJu379OtC4OiPzAMCuXbsAZf1UhUIBaFzlUIW5bUm9+qAKM6908uRJQFnXWCwGwzCAgOUHrS8RERERrW9dG1wkk0n3wWHDMHxvGVqpS5cu6Um+rly5oicBjecZpP7+fkQiEfdWIhkkLNfFixeBRnATiUTczrpt21rOZmGCsOnpaQghsG3bNnfZWOZ6z8zMAI2gQie3o5Uw60tEREREN1/XBhdoPDhcLpcBpZO9XpXLZQgh3M/g4KCeZVlM0/Qs94O7pTojEong2LFjoQIWIiIiIqKuDi7QuIIhhHBvuZG3G/mdJV+qPXv26Em+5C1Jui1btrj/v3z5smfaSsntK5VK+qQl2b59u54EKLckHTlyRJ/kUq9otNLq9qZ9+/bpSURERETUpbo2uHAcx9NpPXz4MABg69atSq6/u03owoULnnTd6dOnAe05C/X5C0m+GE7+a5pmYCATi8XcoEc+G4LGd/g9a7AU6jsk1HdNtOrIh5HNZuE4judqRdBtX6pisRj4Rm753Ii8JUxdfqeu4BARERHROqA/4d0tbNv2jHSkjmQkqdP0vOVy2TNqkT5djvYktNGi1HzqqE/6aEdQdq0ceUldhr5cuTy/vPpy/UZskh/btptGwUJjxCV9uZI6OpXfOluW5cnj9/1yeWo+Na++Tuq+06ehzfoSERER0foUEZ28Sb/LOI7j3tqTy+UCz6IXi0UcPHgQaDw7sZSRkoiIiIiINoquvS2KiIiIiIjWFwYXRERERETUERv6tqh4PO55cNk0zaYX2am3TkmtbqEiIiIiItqoNnRwQUREREREncPbooiIiIiIqCMYXBARERERUUcwuCAiIiIioo7omeCiUqk0vZ06Ho8jEokgEokgHo+jWCwiEoms+O3Ya0WuN3np5UpERERE60NPBBfZbBb9/f2YmZlx0+RIUIVCAaZpwrZt90V4p0+fVuZemWKxiEqloic3cRxnSUFNsVgEANi2HWr5qy3sdq42v3KV+4qIiIiIbq6uDy7y+TzGxsZg2zZisRjQuIqhDjEr0y3LAgAcOXLEnbZSMmBpJ5vN6kktZTIZAIBhGOvijeBht3M1BZXr1q1blVxEREREdLN0dXDhOA6GhoZgmqbb0fQzOjoKIYT7b6feURGJRPQkX6lUCqVSSU9uSwiB+fl5PXnNhd3OtSbLcz0EX0RERETU5cHFyZMnAQCHDx9204rFIvr7+92/Dx48iGw2i2w2696nn0qlgMZVD/3effl3pVKB4zju337pUn9/PyKRCBzHcdOkeDzuBhZDQ0OIRCIoFoue5wby+bz7PEg8HkelUvF8p+M4TWn633oev2cRUqmUO129krLc7fRbh6B0+d2tbg2T+8BvHYPKlYiIiIjWEdHFAAgAolwue9LL5bI7rVAouOmGYQgAwjRNN800TQHAnZbL5dx/TdMUhmF48pbLZVEul0WhUAj8fsm2bc+65HI5zzSZbhiGsCzLXQfbtt31kH8LITxpcr3k+qvb5fd96rLlOsnpy9lOmW5ZljsPlMNJX1f5t7rvVXJ5crr+t2hRrkRERES0PnTtlQv1KsGWLVs805bDtm0IIXDgwAEAwO7duzE/Pw/btt2z7dPT00gmk6Fvw4nFYqHWbWBgAKOjozhy5AgMw2h5i5ekPryOxrMZ09PTnrRr164BjbP+tm27y5brPzQ0BADL2s5jx44BAPbs2QMA2LdvH9C4GqQ7e/YsBgcHYRiGm08nlyen79q1CwBQKpXWxYPkRERERNRe1wYX77zzjp60IoZhAI2AQN7Hf/bsWUC5ncnvtqdO2L59OwBgcHBwVZ6xuHTpEtAIoOQtR5LjOEveTsdx3AerDx48iEgk4gYqMqBRyQBrfn7e93kXdXnbtm3TJ+Py5ct6EhERERGtQ10bXKyFZDIJIYQbeBiG0dXDnhqGASGE5yOvZCx3OwuFgmd5o6OjehYiIiIi2iC6NrgIc7tRp8zPz6NQKACNW3ywhOFPw9zitNrklRHbtltelQi7neo2yasiK9FuH+3evVtPIiIiIqJ1qGuDi1gs5p5p7/QtUlIqlXLv95fvnQjqCIcduSifz7fs4K8G+RwJtPVMpVLuSE5L3U75zpCxsTF33kqlEno/6PSg5sqVKwAA0zRbPvtBREREROuI/oR3N7Esq2nkIHV0I/mxLMvNq6apIxrJj758v9GY1OlyWtCIUUJbJzlCkxy9SV0fSR0VSV2+nqZvkxz1SU2T36eOTqUuU6xgO/2+X7RY/3b0slP3iT5Nn05EREREN19EfDB0aVdyHAeGYcA0zaaRkoiIiIiIaG117W1RaNy6k8vlOFwpEREREdE60NVXLqRsNouxsTH0wKYQEREREXWtnggu0HiY+PDhw6vynggiIiIiImqvZ4ILIiIiIiK6ubr6mQsiIiIiIlo/GFwQEREREVFHMLggIiIiIqKOYHBBREREREQdweBiA4rH43wvCBERERF1HIOLDWh+fh79/f3IZrP6JCIiIiKiZWNwsUGVy2WMjY0hn8/rk4iIiIiIloXvudjAUqkUSqUSbNtGLBbTJxMRERERLUnXXrnI5/OIRCKIRCKIx+PIZrPu3+rZ+GKx6KZHIhGg8cxBJBJBsVh086VSKTePfruQ+l36p1KpeP72+z6Vup4RbV3VafF43PO9+jpB2Q6ZX19GJBJBKpVqSnccBwBw+PBhAMDJkyeVpRIRERERLZPoYqZpCgACgCgUCkJ8cBXG87cQQliW5aYbhiFyuZwAICzLEkIIYRiGACBs2xblclkAELlczjOvaZq+fwshRKFQ8CxfKOshv0Mo6yuEELZt+66ruk25XM6z7HK57OaTabZtu9sj10ldhsqyLGHbtvu33Fa5zkREREREK9G1Vy5UhmEgk8kAACzLAgCcPXtWy/WBmZkZDA4OAgD27NmDYrEI27ZhGAZisRiSySQAYGhoCAAwNjYGAO5tQ3v27AEAlEol9wqASn6vYRj6JFeY5xwMw8Dg4CC2bt2qT3LnN00TsVgMu3fv9kyfnp52/69e8di+fbvn9qctW7YAAGzb9t0WIiIiIqKl6Ingwk+pVNKTACVIEEIgk8ng0qVLQKODrd/K1IkOt7qM6elpCCGwbds2T/Bx/fp19/+tvP322wCAixcvetKTySSEEJ6gIpfLAY3gyHEc5PN5HDhwQJnL65133tGTiIiIiIiWpGeDi6UyDANCCM8nFou5nXQZJMhgRF41WKpIJIJjx47Btm190pLNz8/rSS55dQYALly4ACiBFRERERHRaujZ4MI0TT3J1/bt24EWtwYNDg6iUCigVCohEolgbGwMlmV5rhKEJR+6PnLkiD5pSWSQELTOkrxFbGhoqOnWKZ28RYqIiIiIaLl6Iriwbdt947R8RkKOhNSOequQ+nxCKpVyO+7Hjh3zXNEYHR1184XlOI7nasWVK1c805fiiSeecP+vrrMMXiSZzzAM91kSlXorFK9qEBEREdGK6U94dxM5KpJhGE2jLEnqaEvqCEsqdeQm+ZEjM6kjTekfdXQp9aOuC5T1UdMty3JHqUJjxCj9u/TlQFl3v3XWt0s01l8djUol9406ohURERER0XJ19Uv05EvgDMNo+fzBSsjv8LOa39sp2Ww28EoLX6JHRERERJ3UE7dFrabp6enAYWU78VB2pzmO43npnnymRFepVFAqlZDL5RhYEBEREVFHMLhoIxKJ4MiRI00jSeVyOfeB6fVEPkfhOA6KxaLvg9yO46C/vx+WZXlGlSIiIiIiWomuDS7y+bx7u5J8R0WrkZOWq1AoYGhoyH0HhvoujKDbjW6mZDIJwzBQKpVw6dIl3we5BwYGUC6X1+X6ExEREVH36upnLoiIiIiIaP3o2isXRERERES0vjC4ICIiIiKijmBwQUSuarXqeTHjzTAyMoJqtaonUwsst95Qr9eRSqX05DVVqVSQz+f1ZFqikZER9+W+a2FiYgJTU1N6MtFN0dPBRSqVanoQW63s+XzeM+1mN+pESzE1NeUOLhBkZGQk9HFdLBbx6KOP4ujRo26a4ziYmJjAzp07AzscIyMjbh0aGRnRJwfS66ec95Of/CT27t2LYrGoz9K1qtUqdu7ciUgkgng8jomJCT0L0GKftKKXW71eRyaTcZeRyWR8O/0jIyPYvHmzmyfMgBitjodeKLdqtYqRkRHE4/HAjqG633bu3NnUoZPlrH/i8bgnn65areLee+/F448/7kmvVCpNy6rX60CjrPVp8hM22HQcB5s3b3a3N5lM4tq1a9i5c6f7Pd2mWCy6ZZRKpZq2I2wdkSqVipu/XXtar9exc+dObNq0yTOgSphjK5/PY/Pmzdi8eXNT/UJj2dls1j2e1GPvwIEDeOaZZ0KXey+oVqtum5lKpVqWIUKWu/xd9fuobVuY8tzQ9Lfq9ZpCoSCi0agAIGq1mj5Z5HI5EY1G3TdyE3WDWq3mHtdB5NvjTdPUJzWZm5sThmE01RH1TfLyTfOqXC7n1h35xne/fDq/N8zPzc250+X6qGndyrZtEY1GRaFQEKJRLtFoVIyPjzfla7VP/PiVm2VZbpmUy2WRSCRENBr15BkeHhaJRELUajVRq9XcctbLX9fueOj2cpP7CoDvb8Lw8LDn90Ie87ZtCxFQhvIzPDysLe3v1Gq1wP1mWZZnOel02p0mv9/vMzk56VlOENM0BXy217IsYVmWJ60bTE5OunWrXC4LwzCa2sAwdUTNG41GRS6X8y0fXTqdbqrbIsSxlcvlRCKRELZti1qtJhKJRFMdM01TWJYlarWamJuba+q7yPlkW9PL5G+g3Neyr+dXhlKYctfrm/pR87Urz40uuGfSQyYnJwV8GndZEcM0GETrSTqdFolEQiAguJDHtt8Pqx/TNAN/kMqNIEX/obNtu6lRNU3T0/kJYllW4PdJhUIh1Lqvd36dNHlSQ/9Ra7dPdHq5lcvlpvZMlp/8EZYdYNkhFsoPtV7GfoKOB6nbyy2XywV2GKLRaNPviNoJHB8f9+1YBgUOUi6XazpGRKOsDMPQk11qZ0mSwWwY4+PjbjuiL0c01tsvfT3T65Csa1KYOiJZlrWkPkK5EcwECTq2ZJ1UA0K5TrKeykBSbTNyuVzT98nyb9XJ7gWybFQy+PITttxN0/S0jaKx7/1+14LKkzZIcCECzs4MDw83NSZE693k5KSwLMtt2PwMDw+7nbx2Hb1y40x6kHadSZVhGG3PmMofUtkpa/UjqNfZbuTXaZ+bm/N0JpayT6R25aZSy298fNz3uJEBazthjoduLrdWHQbDMJo6c9Fo1O206J0XmdZqv8rAzm9eedY8nU77ro/fPOPj400BkB/btoVpmu7JN7/l53K5tu3HemdZVqj9oR/Tsp747eMgpmm27FMEHVtBdVI9M59Op5vKQrYj+jqaptmyfvYCv3Z1fHw8dJsoqeUurxrp0um07+9aUHmSED39zIVKvjDus5/9LNC4X25mZsZzf7lUrVY99+Vls1n3nk31Hr9isRjqnmiiTqnX63jmmWfw7LPP6pNclUoFtm0jk8nok3ydO3cOu3bt0pOXpFKpIJVK4fjx49i/f78+2ePChQsAgNnZWQwNDeH2229vuu9VMk0T586d05O7yuLiIm7cuOFJ27FjBwDgD//wD4El7hMpbLnJtss0TQBw10W/D/3uu+/G7OysJ225eqHc/Jw6dcqtW/L+99HRUbc85b+qr33ta3j00Uf1ZNdrr72GxcXFpnnr9TqKxSIWFxdx/vx59Pf3N91Pr88DAGfOnMEnP/lJPblJNptFLpfDrbfeqk9y7d69G6VSKdTzOOuN4zju/jpx4oQ+2UOvIwDw1FNPwTRNTExMIBKJBD4HITmOg1KphDvvvFOf1Fa1WkUikdCTsWvXLrz++utAo2245557PNNl+f/+7/++J33fvn04ffq0J62XOI6DxcVF3HXXXZ70O++8E4uLi23bTkkv91gshr6+vqY8MzMzbX/XyGvDBBexWAy5XA6zs7OYmJjAo48+ijNnzujZ4DgOnn/+eTz33HMQQqBcLqNYLOLpp58GADz//PN46KGHIITA1q1b8dxzz+mLIFo1jz32GM6cOdPUAEr1eh3Hjx/Hl7/8ZX1SoJmZGezbt09PDi2fz6O/vx+lUglnz55t2xEZHBxErVbD5OQkTNPE4uIiHn744abOLgDcc889mJmZ0ZO7imEYOH/+vCdN7qNNmzYBS9wnUthye+2112CaptsR2bZtm5uuunbtGqLRqCdtuXqh3Pzs378f4+PjOH/+PG6//Xbs2bOnbRA/NjaG++67T092Xbp0ydOplfr6+rCwsIC5uTnkcjlEo1GMjY0FDgaARifVL1DRTUxM4KGHHmqb74477gAAXLlyRZ+0rlUqFRiGgbGxMczMzLR94FavI5VKBYuLi7jnnnvwxBNPoFarIZPJYGhoKHD/y32kPsQdluM4gW36u+++CwCwbdttL3T6yYu77roLtm23bYu71TvvvAMAgYHx+++/ryf50svdz4ULF9rWcWq2YYILNH7ADcPAZz7zGQwMDPgeUC+99BLOnz8PwzAQiUTQ39+PxcVFjI2NAY2KLityMpmEZVnaEohWx9TUFO6++27f41Z68cUXcezYscAfKj+2betJSyI7xrlcDqVSCel0Ws/SpK+vD/v378f09DSGh4dh23ZTZxeNzvdK1+9mO3LkCGzbds+iOo6Dl156CQDw8Y9/3M0Xdp9IYfZLvV7HF77wBffKLQDcd999iEajyGaz7hm+qakpzMzMYGBgQJl7+Xqh3IJ85CMfcdt9dR/6mZqawsDAAGKxmD7J1a4DuGPHDgwODmJ2dhbRaBS/9mu/pmdxfe1rX8PnP/95PdnDcRy8/vrrvlftdbIduX79uj5pXUsmkxBCoFAoYGFhAQ888EDgfvarI5cvXwYaVzzk2ezR0VEYhhG4/9fTPpKdbtkJp2Z+5e7nzJkzoeoKeW2o4AKNy9oA8IlPfEKfBAB44403kMvl0HgexfNB44zc0NAQ4vE48vl8y9tTiDqlXq/j1KlTGBwc1Ce51KEk11pfXx8GBwfdq4OtOly6EydOwDCMdfXj3ElyvxSLRUQiEZw8eRKLi4swDCMwUOzUPnn66adx5swZT+e2r68Pr7/+Onbt2oWPfexjiMfjeO+992DbNh588EHP/ORVLBZx6tQpjI6OYnZ2FoZhYO/evYEd12984xsd26exWAyjo6Mtg7bz58+3vEoCAMPDwxvminsmk8Grr76KxcXFwEDdr44ESafTLff/ct122216kktOa3VVMeiKRq+65ZZb9CSPdtMRstzl7VdB7TQF23DBRdBlNNXFixf1JNeJEydQKBQQjUZD3xtNtFIvvfQSSqWSZ8ztoaEhAECkMcb38ePH8dxzz3nylEold75W9wt3yu7du/WkUAYGBtzbdXrR4OAgFhYWIITAs88+i2KxiOPHj+vZPFa6T/L5PPbs2eP7w7hjxw5MT09DCIH5+Xlcv34dhmHw8n8b2WzWvRUtFothenoamzdvxsmTJ/Ws7jMT7Tr7S7Fr1y4YhqEnA42TC9FotGVnqVKpeK7My6vzANDf349Im/fmdKNWJ1uC6oisd3rQuGnTppad/OXau3cvSqWSnoxSqYS9e/cCjfZA75vIE0rqFdCNYMeOHYhGo+4VJuny5cuIRqNN5akLKnfdhQsXQl2Jp2YbLrhoJxaLoVQqIZvNehoW+aObzWaRyWRw9epVlMtloNEAEK2mwcHBpitpuVwO+GCIEUxPT7udRfVjmiZM04QQIvCqh2EYTffsLtd7773X8ox8EMdxAjthQZ2pblSv1/HII48gk8m07ci32idoU27FYhHbtm3zfIfepklTU1N44YUX8PLLL+uTVqSXyk1aXFz0/N3X14d0Oo2FhQVPOhr3c2cymba3KMZisZbP1qi+853v4MiRI3oy0HjA/3Of+5ye7CFvF1I/8nesXC5DNK7Q61YS5N5sct/qdalVHZF55UAL0rVr1wLrrdxHYctSJb9PfTZE/l9Oe/DBB3HlyhXP8i9fvtyyvd2yZYue1DMymUxTsHXx4sXA8pFalbvu9OnT+PSnP60nUxj68FG9Tg755jesmFDGiIb28hQ5drIcR7nWePmUYRgth54jWi2thqKVwgxFa1lWyzxB74mRw/7JceXnGi9QU+uWHGZTnTenvIzKtu2W73doNW55N7FtWxQKBWEYhu/2LGWfSEHlJo8L/aMPoVoul92hTvWhLP3KTQo6HlTdXG7Dw8OBvxGmaYqo8uIyORyw31CUQcNX6uT7C3Tlctnz2zI5OSlM0/QdKlM0hub0m5ZrvOdBH7tfKjeGFvbbBjktaN71Rg7NKodzrtVqwjTNpmM1TB2R+03uF9neBe0LOZy0336UWh1bucZL9Gq1mrBtWyQSiab1VuuVPPaClqXX914j2yjZTvqVj2manmGgw5S71G4IadGmPDe65hath+kHFHwadKEcVABENBp1gwnRODgnJyeF0XhLrV75idZKp4IL2YHwYzbeD+NXZ2QwIetJOp0O1UlVl+k3jyrox7ObyO0NeleBWOI+kfzKTf7Y+X1kGcj5DMNwO2E6v3ITbY4HVbeWm75tet2pNd5mHm2cgEokEr7bKfdfGDKvfmxMTk663yPLKsjk5KTvS77ECoOL8cZL9rqFDCbU8tPLJ0wdkeS+k8tqVy/NFu+X0L9LP7aE8gb4qM87HERj+9LptHtM6NsmpdPppm3pRWpfza981OBiKeUu87c6cawvw688N7KICLoOSkQbRiqVwuHDh9teUl5LxWIRX/jCF3D16lV9EjWw3HpDPp/HtWvX2o5cs9bi8ThOnTrFMf5DqlQqOHz4MObn5/VJa8ZxHCQSCczOzrZ8/oZoNTG4ICJUq1U8/PDDePnllwPv311L9Xod995777pZn/WK5dYb6vU6UqkUPve5z62bQHFiYgKvv/46isWiPolakENO36xAMZPJYO/evRw+lW4qPtBNRNixYweOHz+OvXv33vTRz6rVqjv6FTuorbHcekNfXx/OnDmDbDa7Ljrz+XweZ86cWdLLOOkDzz77LK5evdr0NvXVVq/XkclksHnzZgYWdNMxuCAioHHG6/XXX8fXvvY1fdKampiYwBe/+MV1cwZ3vWO59YYdO3bgu9/9Ll555RV90pqqVCq4ceMGpqen2450Rc36+vpw9epVbN++ve2bwTvpwoUL2Lt37027YkKk4m1RRERERETUEbxyQUREREREHcHggoiIiIiIOoLBBRG5qtXqqj6IODExgampKT2ZVmi1yy2MkZGRm/5QebdhufUGOdrXWmK50XrWs8FFPp9HJBJBJBIJbLxTqZSbJxKJIJ/P61mIusrU1JTnmFY/7UahKRaLePTRR92RRlayLEkuQzpw4ACeeeaZwDrZq0ZGRrB582ZEIhHs3LnTN8AqFouIx+NunrAPg+rlJtPk96VSKdTrdc88aJSN/L5sNuubx4/ebo6MjAAAPvnJT2Lv3r2hj41uof6WyLJRdbLcJMdxkM1m3TKUqtUqdu7ciUgkgs2bN4cuN8dxMDExgZ07dzb9zvVquankSEpyv42MjPjut3Zl7adareLee+/F448/7qbV63UUi0VkMpnAoEOOribrqF+g0CrPRig36mL6W/V6iW3b7tsb/d52KRp5DMPwfUstUbexLKvpzaHy0+oYl2/bVvMsd1mSfPOw3szUajWRSCREoVDwpPeqXC7nbqtt2+4bdtU3Isu3Mcs3zI6PjwsATW+c1fmV2+TkpPtm2XK5LAzDaHp7bLlc9rwV2rKspjx+bNtuOhbUdZTr0269u4l8C738qG/t7WS5SYVCQQAQlmV5jhHbtoVlWe6btguFgohGo6HKzbIsdzv8fgt7sdxUiURCWJYlhNIv8Hujeauy9lOr1Xz3m3yzOQLe3CzbRrl8WZbq8RAmT6+XG3Wvng4uRONHVDYUQZ0Zv8pP1I1M03Q7H1KhUPD9IVWZptlUP5a7LCmdTrs/sDrbtpt+KHuV3kGRnQZ1PxqG4bv/27VNfuWm/53L5UQ0GvWkGYYhhoeH3b/lOunz6izLapunUCi0Xe9uUSgU3E6pn06Wm1A6kJOTk/okUSgUmupLLpcLFcwI5bfQL7gQPVZuqkKhIAzD8KTJfaEGb+3K2k8ul2s5T1BwYVmWSCQSnjTTND3LCpNH9HC5UXdr/tXvMeVyWQwPD7tnJNTGRGLFpF5g23ZT50M0Ovl+nRVJnsVWLXdZ0uTkpLAsy+38+DFNM7Cj0+vUDujc3Jxv2yTPgvuVgwgoNz+WZXkCiaDvS6fTLQNHedUikUiIXC4XuF6i0anSl9+NDMMQhmF4rhhIQftxueUml6cHo634dZKDyLyt6lzYZXWTdDrt+xsfjUY99aJVWfuRAXmrwC4ouIhGo03lMD4+7jkuwuSRerHcqLv17DMXqk2bNuHll19GNBrFAw884Htvo8pxHPf+zEgkgkwm03YeopstFos1vfSqXq9jZmYG+/fv96Srzp07h127dnnSlrssNPI988wzePbZZ/VJHvv27cPp06f15A2hXq/joYceAgC8//77AID33nvPk+fOO+8EALz11luedMmv3FTyvn0AOHHihJsul3fHHXe4aQBw9913Y2ZmxpOmunDhAgBgdnYWQ0NDuP322wPbRdM0ce7cOT25q1QqFdi2Ddu2MTY2BsMwPPe3d7rcnn/+eUSjUdy4ccN91qLdMxXvvfceotEoksmkPmlZeqHcdO+++67vPty1axfeeOMNIERZ+3nttdewuLi45LfRO46DxcVF3HXXXZ70O++8E4uLi6hWq6HyqHqx3Ki7bYjgAo23n7766qtYXFzEww8/7NvYoPGjn0gksHfvXggh3AZn7969cBxHz060rl24cKHtG5NnZmawb98+PblJmGUBwGOPPYYzZ840BSe6u+66C7Ztb7h65TgObNvGgQMHAABbtmwBAHzjG9/w5Hv77bcBALfccosnXWpVbpVKBYZhYGxsDDMzM56HjK9fvw403iSsW1xc1JNcg4ODqNVqmJychGmaLdvSe+65p2Wg0g2SySSEECiXy7AsCwBw8OBBt2PX6XI7f/48du3aBdM0sbCwgPHxcYyNjeGxxx7Ts7q+8Y1v4Mknn9STl60Xyk0Xi8UwOzvb1M7Mz8/jtttuA0KUtZ9Lly7BNE09ua133nkHAHDrrbfqk4BG0Bomj6oXy42624YJLtBoQAqFAmzbDhxB5cUXX8TmzZvdETxisRjOnz+PxcVFnDx5Us9OtK6dOXPGdzQalW3bepKvMMuamprC3XffHepsnvzhlD+kG8Xw8DC+8pWvuJ37WCwG0zQxNjbmni2tVqs4e/YsotFo4L5sVW6ys1QoFLCwsIAHHnigqXO1HH19fdi/fz+mp6cxPDwM27bx2muv6dmwadOmluvXTZLJJEZHRzE5OQk0hlNGh8tNBn/Hjh1z5zt69Cgsy8L58+d9y65areLq1asYHBzUJy1bL5WbdOjQIQBAOp1GvV53R3KSJw1VQWXtx69MbpZeLDfqbhsquACATCaD4eFhzM7O4umnn9Yn44033kA8HvekxWIxJBKJddWYELUjL60HdXKWIsyy6vU6Tp061dHOTq8pFovYu3dv061lX/3qV2FZFg4ePIjNmzejVCq5w2euRCaTca/YyiBg06ZNejZXNBrVkwKdOHEChmG4V0J63f79+2FZlud3YLXKTfrpn/5pwCcAr9freP755zE9Pe1Jp2bJZBKTk5NYXFzEhz/8YTzyyCPuMXvffffp2YGAsu6UoCta0i233BIqD9F6tuGCCzR+FC3LwtjYmO94+35XNPxuISBazy5cuIB0Oq0nL0uYZb300ksolUqeceKHhoYAwB2nfSOrVCq4dOmS79Wfvr4+jI6OQgiBhYUF7N69G7Ozs3jiiSf0rEum34//8Y9/HFDOlksXL17EwMCAJ62dgYEBbNu2TU/uWXv27EEsFnP/7lS5yVus5C1Vkry6p3cmH3vsMTz11FP8XQpp//79mJ+fhxAC09PTuHjxIizL8pSlTi/rTtmxYwei0SguX77sSb98+bJ7xStMHqL1bEMGFwDw7LPPIpFIYGxszJMu78/U77Wcn5/HPffc40kjWs9Onz6NT3/603pyE8MwcOPGDT3ZI8yyBgcH0RiBzv3kcjngg+GiAs+yyo5VL6tWq/jmN7+J0dFRN61YLPo+NFqtVnH48GEUCoWWnZsw5QblZIk8S7tjxw4YhuHpuNTrdVy5cgUPPvigmxaG4ziBZ38Nw9CTut63vvUt9zYb3UrKTV4dP3v2rCf97bffhmEYns7kyMgInnrqKTetk1dK0KPlppIv0Gs34ESrskajzPxORIaRyWRw8eJFT9rFixc95Rgmj6rXy426jD58VK9pNS6/fAGOOlScHH8/kUi4w9HJ4d+ChhYkWm/m5uaaxkgPYrV5gVqrZZmmGThNKOPw+8nlck3jz/ci+aI1+LyMUB3ycm5uzn0nhd87EHR+5SaHM5VDxdZqNWGapmfITaEMhzo3NydqtVrTmPpymE11vlwu5w67KV/oFrSefuPxd5tCoeAOu1yr1cT4+LjvNnWi3IQyVKz6AsSo8s6LWq3mvoBR/8j18is3aXJyUgDwnSb1Qrn5qdVqYnJy0m2v9N/ysGWtKjRedhikVqsJNIZu1slykseL7GOo7UGYPFKvlht1r+Ca0QP0BthvHOi5ubmm4EOmyfnS6bRvhSZar4aHh0OPly87NUFaLWslwUU6nW7Z0ekFskPn91H3GwARjUZDj7EvAspNBhPyO0zTDHwviXy5GBqdU7XD5ddJVZebTqdbju+vdoq7lTx2ZVn5bU+nyk2anJx0y8QwDM93yhdS+n3UjrFebkIrO/nx0wvlppPlmEgkAoO/MGWtk/var1+hLk9+9HzypA0a9dSvPoXJI3q03Ki7RcQHDeSGVq/Xee8qbWipVAqHDx8OvOTeaY7jIJFIYHZ2tuUtJNTaWpdbGMViEV/4whdw9epVfRI1sNx6Qz6fx7Vr1zy3O641lhutRwwuiAjVahUPP/wwXn755TV5WDCTyWDv3r2+DzdTeGtdbu3U63Xce++962Z91iuWW2+o1+tIpVL43Oc+d1MCRZYbrVcb9oFuIvo7O3bswPHjx7F3796mwQw6ST58qr5LhpZvrcotjGq1ilQqhePHj7Oj0wbLrTf09fXhzJkzyGazvoMzrCaWG61nvHJBRK5qtYqvfe1rOHHihD6pI+RLqRhYdNZql1sY2WwWhw4dahr6loKx3HpDvV7HY489tqYBBsuN1jMGF0RERERE1BG8LYqIiIiIiDqCwQUREREREXUEgwsiIiIiIuoIBhdERERERNQRDC6IiIiIiKgjGFwQEREREVFHMLggIiIiIqKOYHBBREREREQdweCCiIiIiIg6gsEFERERERF1BIMLIiIiIiLqCAYXRERERETUEQwuiIiIiIioIxhcEBERERFRRzC4ICIiIiKijmBwQUREREREHcHggoiIiIiIOoLBBRERERERdQSDCyIiIiIi6ggGF0RERERE1BEMLoiIiIiIqCMYXBARERERUUcwuCAiIiIioo7o2uAilUohEol4PsViUc8GACgWi015s9msnq0rhdn+5apUKp7lVyoVPQsRERERkatrg4vp6WkIITxpZ8+e9fwtXbp0yfO3EAKjo6OetHYqlUrHO++dUC6X9aSWlhJUJZNJFAoFPZmIiIiIyFfXBheSZVnu/0ulEhzH8Ux3HAfbt2/3pC3H4cOH9aSus5TAgoiIiIhoqbo+uIAWYFy4cMEz7cKFCzhw4IAnbani8Ths29aTu0o2m8XY2JieTERERETUMT0RXBw6dMj9/+nTpz3Trl27hlgs5knTxePxwGcLIpGIG1gcPHjQM91xHN/5/NKz2SwijWc98vm8Z7r6TEgqlXK/W2q1fmGkUik3sBgbG0MkEkE+n3enq8uORCLKnF5vv/22mycej+uTm7bL70qJnkffFv1ZGpW+X/3WgYiIiIhuItHlLMsSQghhmqYAIACIcrkshBCiXC6LQqEgxAcPZ7gfFQBhmqYQQohCoeDmsW1blMtlUS6X3TS5LNFYtjqvZVnufPqyDMMQuVzO/b+aH4CwLCvwe1qtn7oe+nwqNY/cX5K+PP1vfTuEsq/legmf7Zfz5HK5pjy5XE7Ytt30XYZhCDTKT36v/E41v9/fRERERHTz9cSVC2jPRJw7d879N5PJKLn8lUqlpjPoaDzQHOT48eMAgH379gEA9uzZAwA4efKkJx8aeQcHB2GaJgYGBvTJGB0dxZYtW/RkV9D6hRW0HfLqhWEY7tUd0zSBgO2QD8zLfe33jIvffGhcdZBXTw4cOIBYLAbDMNzpxWIRtm3DMAwkk0ns2rVLmfvvlivXT51fvQpDRERERDdPzwQXahAxNjbW1OkNIoSAEALnzp3DwYMH3fR33nnHk09XKpUAAENDQ4hEIu68ft+7detWoDHCVZhRqq5fv+7+f7nrF8bFixeBxm1XupmZGT3Jl1yP0dFRCCFw6NAhz+1M165dAwBcuXLFTZPm5+chhEAsFmsa0SsWi0EIgfn5eUBZH79b3OR2EBEREdHN1TPBBQDkcjn3/wMDA55nMYLIdzkAWNawq7lczg0AhBCYnp7Ws6zIStdvLcXjcfT39zcNEaxrFRh1+4PzRERERBtZTwUX+qhQQbcDSY7joL+/H9AeClcF3a4kb8lZzbPmYdYvLPUWJMnvKoDkd/uWTt7ChMaD2LZte0buUsmrNwBw+fJlzzQAnuGC/W4B87u6Islb04iIiIjo5uqp4CIWi7n35B85ckSf3ES/VUe/NcePHAFJLr9UKrkv13Mcx3e0p+VazvqFUSwWUalU3Fu01Gcn5O1eTzzxhGceNEaLgvLshXzuBMp8CAgOksmkWzZDQ0Pu9+XzeRSLRQwODrp51ednUqkUHMdx11U+t+E4jnuVQ52XiIiIiG4i/QnvbqGODgVlpCQ5ypAcgUgdlUn9yFGT1DQ5opP8yGWo6eqITHp+v5GNwsynbwuUEa/UNH0+v++R8+nCjBglP6pCoSAsy2r6Ln1kKnU/m6bp2SZ1xCh9W9Vpwmdd1O3R10HubyIiIiJaHyKi3Q3yREREREREIfTUbVFERERERHTzMLggIiIiIqKOYHBBREREREQdweCCiIiIiIg6gsEFERERERF1BIMLIiIiIiLqCAYXRERERETUEQwuiIiIiIioIxhcEBERERFRRzC4ICIiIiKijmBwQUREREREHdG1wUWxWEQkEnE/ABCPx92/s9msmzeVSnnyqtP06fo0IiIiIiIKp2uDi0wmA8uyPGnz8/Oev9EIQkqlEsrlMoQQKBQKnunxeBylUgm2baNcLmNsbAz5fN6Th4iIiIiI2uva4CKs69evAwAOHz4MNIKS0dFRoBF42LYNwzAQi8WQTCYBAENDQ8oSiIiIiIgojJ4PLgYHB2EYBmzbRiQS8VyVuHTpEgC40+TtVQDgOI77fyIiIiIiaq/ngws0bpfK5XJA46pEKpXyTDcMA0IIzycWi3nyEBERERFRa10dXGzfvl1PCjQ4OAghBACgVCrBcRx3ftu2eaWCiIiIiGiFujq4UDmOg2KxqCejWCx6RoCSD4HHYjEcOHDATddHl2KwQURERES0NBEhT+d3qXg8Dtu2gUbgMDY25k6TI0NdunTJk27btnvbk+M4MAzDnQYA5XLZfbibiIiIiIjC6frggoiIiIiI1oeeuS2KiIiIiIhuLgYXRERERETUEQwuiIiIiIioIxhcEBERERFRRzC4ICIiIiKijmBwQUREREREHcHggoiIiIiIOqJngotKpYJ4PO5Ji8fjiEQiiEQiiMfjKBaLiEQiyOfznnzrlVxv8tLLlYiIiIjWh54ILrLZLPr7+zEzM+OmyTd3FwoFmKYJ27Zx8OBBAMDp06eVuVemWCyiUqnoyU0cx1lSUFMsFoHG28TDLH+1hd3O1eZXrnJfEREREdHN1fXBRT6fx9jYGGzbRiwWAxpXMWzbdvPIdMuyAABHjhxxp62UDFjayWazelJLmUwGAGAYBpLJpD55zYXdztUUVK5bt25VchERERHRzdLVwYXjOBgaGoJpmm5H08/o6CiEEO6/g4ODepZliUQiepKvVCqFUqmkJ7clhMD8/LyevObCbudak+W5HoIvIiIiIury4OLkyZMAgMOHD7tpxWIR/f397t8HDx5ENptFNpt179NPpVJA46qHfu++/LtSqcBxHPdvv3Spv78fkUgEjuO4aVI8HncDi6GhIUQiERSLRc9zA/l83n0eJB6Po1KpeL7TcZymNP1vPY/fswipVMqdrl5JWe52+q1DULr87la3hsl94LeOQeVKREREROuI6GIABABRLpc96eVy2Z1WKBTcdMMwBABhmqabZpqmAOBOy+Vy7r+maQrDMDx5y+WyKJfLolAoBH6/ZNu2Z11yuZxnmkw3DENYluWug23b7nrIv4UQnjS5XnL91e3y+z512XKd5PTlbKdMtyzLnQfK4aSvq/xb3fcquTw5Xf9btChXIiIiIlofuvbKhXqVYMuWLZ5py2HbNoQQOHDgAABg9+7dmJ+fh23b7tn26elpJJPJ0LfhxGKxUOs2MDCA0dFRHDlyBIZhtLzFS1IfXkfj2Yzp6WlP2rVr14DGWX/btt1ly/UfGhoCgGVt57FjxwAAe/bsAQDs27cPaFwN0p09exaDg4MwDMPNp5PLk9N37doFACiVSuviQXIiIiIiaq9rg4t33nlHT1oRwzCARkAg7+M/e/YsoNzO5HfbUyds374dADA4OLgqz1hcunQJaARQ8pYjyXGcJW+n4zjug9UHDx5EJBJxAxUZ0KhkgDU/P+/7vIu6vG3btumTcfnyZT2JiIiIiNahrg0u1kIymYQQwg08DMPo6mFPDcOAEMLzkVcylrudhULBs7zR0VE9CxERERFtEF0bXIS53ahT5ufnUSgUgMYtPljC8KdhbnFabfLKiG3bLa9KhN1OdZvkVZGVaLePdu/erScRERER0TrUtcFFLBZzz7R3+hYpKZVKuff7y/dOBHWEw45clM/nW3bwV4N8jgTaeqZSKXckp6Vup3xnyNjYmDtvpVIJvR90elBz5coVAIBpmi2f/SAiIiKidUR/wrubWJbVNHKQOrqR/FiW5eZV09QRjeRHX77faEzqdDktaMQooa2THKFJjt6kro+kjoqkLl9P07dJjvqkpsnvU0enUpcpVrCdft8vWqx/O3rZqftEn6ZPJyIiIqKbLyI+GLq0KzmOA8MwYJpm00hJRERERES0trr2tig0bt3J5XIcrpSIiIiIaB3o6isXUjabxdjYGHpgU4iIiIiIulZPBBdoPEx8+PDhVXlPBBERERERtdczwQUREREREd1cXf3MBRERERERrR8MLoiIiIiIqCMYXBARERERUUcwuCAiIiIioo5gcLEBxeNxvheEiIiIiDqOwcUGND8/j/7+fmSzWX0SEREREdGyMbjYoMrlMsbGxpDP5/VJRERERETLwvdcbGCpVAqlUgm2bSMWi+mTiYiIiIiWpGuvXOTzeUQiEUQiEcTjcWSzWfdv9Wx8sVh00yORCNB45iASiaBYLLr5UqmUm0e/XUj9Lv1TqVQ8f/t9n0pdz4i2ruq0eDzu+V59naBsh8yvLyMSiSCVSjWlO44DADh8+DAA4OTJk8pSiYiIiIiWSXQx0zQFAAFAFAoFIT64CuP5WwghLMty0w3DELlcTgAQlmUJIYQwDEMAELZti3K5LACIXC7nmdc0Td+/hRCiUCh4li+U9ZDfIZT1FUII27Z911Xdplwu51l2uVx288k027bd7ZHrpC5DZVmWsG3b/Vtuq1xnIiIiIqKV6NorFyrDMJDJZAAAlmUBAM6ePavl+sDMzAwGBwcBAHv27EGxWIRt2zAMA7FYDMlkEgAwNDQEABgbGwMA97ahPXv2AABKpZJ7BUAlv9cwDH2SK8xzDoZhYHBwEFu3btUnufObpolYLIbdu3d7pk9PT7v/V694bN++3XP705YtWwAAtm37bgsRERER0VL0RHDhp1Qq6UmAEiQIIZDJZHDp0iWg0cHWb2XqRIdbXcb09DSEENi2bZsn+Lh+/br7/1befvttAMDFixc96clkEkIIT1CRy+WARnDkOA7y+TwOHDigzOX1zjvv6ElEREREREvSs8HFUhmGASGE5xOLxdxOugwSZDAirxosVSQSwbFjx2Dbtj5pyebn5/Ukl7w6AwAXLlwAlMCKiIiIiGg19GxwYZqmnuRr+/btQItbgwYHB1EoFFAqlRCJRDA2NgbLsjxXCcKSD10fOXJEn7QkMkgIWmdJ3iI2NDTUdOuUTt4iRURERES0XD0RXNi27b5xWj4jIUdCake9VUh9PiGVSrkd92PHjnmuaIyOjrr5wnIcx3O14sqVK57pS/HEE0+4/1fXWQYvksxnGIb7LIlKvRWKVzWIiIiIaMX0J7y7iRwVyTCMplGWJHW0JXWEJZU6cpP8yJGZ1JGm9I86upT6UdcFyvqo6ZZluaNUoTFilP5d+nKgrLvfOuvbJRrrr45GpZL7Rh3RioiIiIhoubr6JXryJXCGYbR8/mAl5Hf4Wc3v7ZRsNht4pYUv0SMiIiKiTuqJ26JW0/T0dOCwsp14KLvTHMfxvHRPPlOiq1QqKJVKyOVyDCyIiIiIqCMYXLQRiURw5MiRppGkcrmc+8D0eiKfo3AcB8Vi0fdBbsdx0N/fD8uyPKNKERERERGtRNcGF/l83r1dSb6jotXISctVKBQwNDTkvgNDfRdG0O1GN1MymYRhGCiVSrh06ZLvg9wDAwMol8vrcv2JiIiIqHt19TMXRERERES0fnTtlQsiIiIiIlpfGFwQEREREVFHMLggIle1WvW8mLHTJiYmMDU1pSfTCq12uYUxMjKCarWqJ1MLLLfeUK/XkUql9ORVxXJbv/L5PIrFop68ofR0cJFKpZoexJZv8kbjAFCnrXXjQNRpU1NTTce8/LRr7IrFIh599FEcPXrUkxaPxxGJRBCPx5HP5z3ztFKv15HP5935K5UKDhw4gGeeeeamd6jWWrVa9exHv05BsVjE5s2b3baoXq/rWXz5lZtqZGTEt22bmppy1ymbzbb9vnbH1ic/+Uns3bu37XHWreT26xzHwcTEBHbu3Lmk+hFUbvrv1sjIiGf6UstN5TgOstmse5wB6PlyQ6MtymQy7j7NZDJNdbBer6NYLCKTyfjWlyDVahX33nsvHn/8cTctzLKq1apb1qlUqml92uXZCOWmW86x32of+gmqx1NTU27dCSJfBbBt2zZcv34d8Xhcz7Jx6G/V6zWFQkFEo1EBQNRqNX2yyOVyIhqNum/kJupm+lve1Y/f8S/Nzc0JwzA8eSYnJwUAMT4+7uaJRqOBb3xXybymaYrJyUnPcmu1mkgkEqGW0wts2xbDw8OiVqsJ27aFaZoiGo027Wu5n8vlsjAMQ5imqSzFn1+5qcrlsgDQtKxyuexp9yzLasqjC3NsyfWZm5vTZ+9qtVrN/R3RWZYlDMMQAEQul9Mn+woqN9u2m/atui+XU25SoVAQAIRlWU2/d71ablIikRCJRELYti2EUmaq8fFxkUgkfOtLkFqt5rvf2i1LHk+yzst+it5OtsvT6+WmWs6xH2YfqnK5nG89LpfLwjRNt062E1TuG0n7vdQDZCdpeHjYky47ORuhYtLGYJqm+wMqFQoFkU6nPWk60zSbOvvpdFokEglP2vDwcNtGUwYWegOtsm27ZSPfS/T9Kjv8aruj55EnPdrxKzdJtm9+gYphGJ72UP4IBy1LLOHYKhQKTd/X7WRdCOpYyDJtdcyrgsrNsizfdGk55SaUTtXk5KQ+ydWL5SYa7REAz7bXajUBoCnIEkvsGOZyOWFZlp7sClqWZVlNbatpmp5lhckjerjcdMs59sPuQ9E4TmQdD6rHZiPACCJPDuRyOZHL5ZoC2I0keC/1GHlQqI3J8PCwG9ESdTvbtn076+l0umWnQp4R0skz1WqHMp1Ot6wz8kye3uH0Y5pmYCPeywqFQtMPns6yrKaTIbqgcpOGh4fdjofa+ZCdLb1jlU6nA8ttqceW3/K71eTkpLAsyz2r6WcpwUVQucmOSSKRELlcrml/L6fchDJfq3or+S2/28n9qnYo5QkQP0EBgU52bludnAxalt/Jl/Hxcc86hckj9WK5qZZ77C9lH5qm6X6PPo/ULriQ2p0k2Ah6+pkLlXxh3Gc/+1mgcR/ezMxM0/2ucpp6f6Z6b596/16xWGy6H5boZonFYujr6/Ok1et1zMzMYP/+/Z501blz57Br1y49GU888QSi0SjS6TSq1ar7TIBfnZEuXLgA27Zx9913u/fGBt3num/fPpw+fVpP7lnyGZSzZ89ienpanwwo98QDwIkTJ/TJHkHlBgCVSgW2bSOTyeiT8NZbbwEA7rjjDk/63XffjZmZGU+atNRjyzRNnDt3Tk/uOvV6Hc888wyeffZZfdKyBZXbhQsXAACzs7MYGhrC7bff7qk3yyk3AHj++ecRjUZx48YN91mLoPvVe6XcVLFYDMPDwxgbG0M+n0e9XsfQ0BBef/11PeuSvPbaa1hcXMSOHTv0SS05joPFxUXcddddnvQ777wTi4uLqFarofKoerHcVMs59peyD/P5PB566KEll2WQ0dFR37Z3I9kwwUUsFkMul8Ps7CwmJibw6KOP4syZM3o2OI6D559/Hs899xyEECiXyygWi3j66aeBRkP90EMPQQiBrVu34rnnntMXQbRuXLhwoW0jNzMzg3379unJiMViePXVV2HbNvbu3YtLly61fav717/+dRiGgbvuugvz8/Mol8u4cuUKHn744abOzF133QXbtuE4jie9V334wx/G0NAQrly54nYkVZVKBYZhYGxsDDMzM57BJ/wElVu9Xsfx48fx5S9/WZ8EALh+/ToANAULALC4uKgnBWp1bN1zzz2BP/rd5LHHHsOZM2d899VyBZXb4OAgarUaJicnYZomFhcXPfVmueV2/vx57Nq1C6ZpYmFhAePj4xgbG8Njjz2mZ+2ZctOdOHEC6XQaQ0NDuPfee5HL5Vbckbx06RJM09ST23rnnXcAALfeeqs+CQDw/vvvh8qj6tVyk5Zz7Ifdh9VqFW+++WbLk2a0dBsmuECj8TYMA5/5zGcwMDDg27i89NJLOH/+PAzDQCQSQX9/PxYXFzE2NgYAePfdd3Hjxg0AQDKZhGVZ2hKI1o8zZ860bTRt29aTXLfccgsymYzb6W03MkmpVMKRI0fcs9nJZBKjo6OwbRuvvfaaJ69s9OWPQK+TJytkG6QPyZtMJiGEQKFQwMLCAh544IGWgVdQub344os4duyY7w9xJ7U6tjZt2hS4ft1iamoKd999t+/vxEq02i99fX3Yv38/pqenMTw87FtvlkIGqMeOHXO34+jRo7AsC+fPn286vnqh3ILcfffdsCwLtm3j0UcfbTrZsVT6vruZerncVtvQ0FDgiRhavg0VXADAqVOnAACf+MQn9EkAgDfeeAO5XA6N51E8HzTOEAwNDbnDcnbycjlRJ8nLwsvtHFWrVTz88MN49tlnMT09DcuycPDgwaZOcTv33XcfoJx92siSySSmp6cRjUbxG7/xG/pkAEAmk8Grr76KxcXFJXcsZWcymUzqk1ybNm3Sk1zRaFRP8rXSY2u9q9frOHXqFAYHB/VJa+bEiRMwDMOtN50oN+mnf/qngQ0U2MtbDUdHR1Eul2HbduAQsavtlltu0ZM8brnlllB5NpLlHPvt9tEtt9yCfD6Pxx9/fNVPxGxEGy64CLpEprp48aKe5Dpx4gQKhQKi0ajvfbFE68WFCxeQTqf15NCef/55xONx9PX1oa+vD6Ojo0in057x3HWGYeDatWueNNlwt/qB2Ej6+vp877lXtQoOWjl+/Diee+4593mxSCSCUqmEUqmESCSCfD6Pj3/844ASiEgXL17EwMCAJy3ISo+t9e6ll15y95n8DA0NAYD7HNFaGBgYwLZt2wBgWeW2ZcsWAMDbb7/tSZe/g+06YL2gWq1ibGwMu3fvBhp16/XXX8fs7GzbK7GrYceOHYhGo7h8+bIn/fLly4hGo9ixY0eoPBvJco79MPtwaGgI999/v6eeo3E1I6K9F42WZsMFF+3EYjGUSiVks1nPZU95b3E2m0Umk8HVq1dRLpeBxq0gROvN6dOn8elPf1pPbmIYhnurn+rdd9/Vk/CpT30KCwsLerIrnU6jWCx6bjmQ9UhewdDJDtBGUq/X8eCDD+rJLrn/gvYZAsptenq66YqraZowTRNCCAwODmLHjh0wDMPzo1uv13HlypWW66QKc2wZhqEndY3BwcGm/ZjL5YDG7W1BD+SH4VduQRzHcY+B5ZRbLBZDIpHA2bNnPelvv/02DMPw7aR2c7n50Z9PQGNfJhKJ0OXgJxaLLfvWqkwm03QS8+LFi55nmMLkUfVauamWc+wjxD7U67i8Q0XevbLckzwUZkytHjM+Pi6gjXmtkuPvQ3uRkRzGTo6RXKvV3GE3wwzxR7SW5JjdYQS9jEgOvSmPb9u23WEyJdM0Pd8jh2eUdUTO4zes6kYZBzwajYp0Ou0O6Ts8POzZZ+rwh7JdMU3Td5+pgspNpw9FK5ThUOfm5kStVmsaD16Wo986hDm2ZDvZS1oNRRv0LiU/QeWWy+XcYU1t2/YdznI55SaHyVVf0hgNeOdFL5ab3CcJ5SV6cjhSfbjfWuP9F+2Ob6G8lDBIq2XJdZLlK9dHHfY7TB6pF8tNt5xjfyn7UJJtsR/5Hgz9uKFmwTWjB+kBQ1DDoL5MJap0lETjB2ByctJ9I2uYHxOitbaUd7jIzocfGQAAEIZhNDW6enAhGvVHjgce9RlnXEqn0xui/gwPD7vtjR6cicYPoNxfaIyL79fx07UqN5VfcCEanSNZtmobJwJ+qKUwx1ZQ57WbBQUXatm1+l2RgspNXU46nQ58f8Jyyk39zTIMI7BserHcRKNNSqfTLfevLF/1o79XQSX3tV+eMMtS+xlm4x0LujB5RA+Xm245x37YfSjBJ7iQdVb96HnIKyLkdSAi2rBSqRQOHz4ceMm90xzHQSKRwOzsLGKxmD6ZQlrrcgujWCziC1/4Aq5evapPogaWW2/I5/O4du1a2yG6VxPLjdYjBhdE5I4M9fLLL/veh91pmUwGe/fuDRzKlMJZ63Jrp16v4957710367Nesdx6Q71eRyqVwuc+97mbEiiy3Gi94gPdRIQdO3bg+PHj2Lt376qOflav15HJZNq+6ZvCWatyC6NarSKVSuH48ePs6LTBcusNfX19OHPmDLLZ7JqPPMVyo/WMVy6IyFWtVvG1r30NJ06c0Cd1xMTEBNB4kRd1zmqXWxjZbBaHDh3iCCtLwHLrDfV6HY899tiaBhgsN1rPGFwQEREREVFH8LYoIiIiIiLqCAYXRERERETUEQwuiMhVrVaRzWb15DU1MjJy0x9y7TYst94gRx+6mSqVCvL5vJ5MSzQyMoJKpaInr5qJiQlMTU3pyUQ3Rc8GF/l8HpFIBJFIJPBHN5VKuXkikQgbVOoqU1NTiEQierLHyMhI6M5KsVjEo48+6nnY2nEcTExMYOfOnb71o1qtYufOnYhEIti8eTOy2Szq9bqerUmxWEQ8HkckEsHOnTs9P8Kf/OQnsXfv3jV9OHK1qfspHo+7D7ar2u3rIHq5yRG5ZLuWyWRadvorlYqbv92xopZbPB73rGe3l1vYY3lqasrdB0F5KpWK57clEon45lNVq1Xce++9ePzxx/VJQGPfy/VT93u9Xkc2m3XLJEwHUwYxclvVMksmk7h27Rp27tzZdp3Xq2KxiM2bN7vHdLvtCGonw5S1rl6vY+fOndi0aZPnYetqtYqRkRHE4/HAoCOfz2Pz5s3YvHmzbxvQqqwPHDiAZ555JrC/Q7SmtJfq9RTbtt03Mwa9TdG2bWEYBl/nTl1Fvo20VRWWbxX1ezuzbm5uzrceWJblvhFVr0O2bQvLsoRt20I03p4ajUbbft/k5KSIRqPum1LHx8cFAM+bU+X6tHubajewbVtEo1FRKBSEaJRLNBptest1q30dxK/cLMty3wZcLpdFIpEQ0Wi0qWxlXvkW9Xb7enJyUgBw13tubs6zXTKtG8st7LEsy07uX8uymvLIdPVtvul0Ws/iUavVAvdbrVYTiURCGIYhCoWCu46SaZru24plmehvg9bJba3Vau4b5PV5LMsSlmV50rrB5OSke4yWy2VhGIZvGUlB7WTYstal0+mmui2EcOuh374Wjbd6JxIJt1wSiURTO9CurOV8ap0kuhmCeyY9QjYcAAIrXJgGg2g9SafTbuDsR+2QhDm+TdMMrB+yDuk/dIVCoanDmsvlmgIFnewkqUzTbFrPQqHQlNaN/DppuVzOt8MftK+D6OVWLpeb9r1cpt7hsSxLJBKJpvxB5DGnGh4ebiqjbiy3sMeyYRhieHjY/VsG+WoZyBNWS5HL5ZqOEaHU43Q63bR+orHeADzTcrlcy++fnJxsWpbf8SEa2+vXEV7P9LZF1jU/rdrJMGWtk8FMEHlM6fvUtm0BQExOTrppst6qAW+YspYnM/QyJlpLPXtblGp4eBiGYeDgwYOBlyOJusXU1BQ2b96Mn/u5n9MnuV588UV87nOfQzwe1yc1qVQquHLlypLfMJvJZNDX1+dJ2717NwDg/fff96RL1WoVtm1j69atnvSHHnoIpVLJc9tBJpNBqVTq+jpbLBaxfft2T5ppmlhcXMQf/MEfeNKXwq/ckslk0wu15K0ZN27ccNMmJiYwNjaGM2fONOUPsnnzZszOzsJxHDfNtm089NBDnnzdWG5hjmV57H7iE59w8/T19WFgYACvvPKKm3by5EksLCwgk8mE2gf1eh0vvPCC77tfHnvsMSwuLuLLX/5y0/oBwCuvvALTND3TTNOEbduBt8Lt37/fk99xHESjUdx3332efABw5MgRHD9+XE9e1/R27Nq1a7Asy5MmBbWTYctad/z4cXz+85/Xk9t67bXXgEbZSMlkEtFo1J0WtqxjsRh27dqFl156yU0jWmsbIrjYtGkTXn75ZUSjUTzwwAOBja7kOM6S7lkmWiv1eh3PPPMMnn32WX2Sq1KpwLbtph/ZIOfOncOuXbv05GV57733EI1GA1/sJDtq7733nif9zjvvBAC89dZbnnTTNHHu3DlPWrdZXFz0dOzReEMzAPzhH/6hJ30pwpabDNhM03TTnnrqKZimiYmJCfe+e797vFVPPPEEotEo0uk0qtWqe1+7X6e4F8pNP5blsXnHHXd48t19992YmZkBGvu6WCxicXER58+fR39/f9t74F977TUsLi42BXnVahXnz5/HwMAAHnnkEd/77GdnZ3HPPfd45pPL+f3f/31Pup9isYh0Oo3XX38dsVhMn4zdu3ejVCp5Aspu4TiOu+/9XlLYqp0MU9Y6x3FQKpXctmwpqtUqEomEnoxdu3bh9ddfB5ZY1vv27cPp06c9aURraUMEF2hUwldffRWLi4t4+OGHAx/MqtfrSCQS2Lt3L4QQsG0btm1j7969XdnAUm957LHHcObMGd+zmGgcv8ePH8eXv/xlfVKgmZkZ7Nu3T09elm984xt48skn9WTXli1bgEY+1dtvvw0AuOWWWzzp99xzT+CPebcwDAPnz5/3pMm2ZNOmTZ70pQhbbq+99hpM03Q7IpVKBYuLi7jnnnvwxBNPoFarIZPJYGhoyPdBcykWi+HVV19128NLly5hdHRUzwb0SLnpx/L169eBxhls3eLiojttYWEBc3NzyOVyiEajGBsba7lfL1265An8pFKpBADYs2cPvvrVr8K2bUSjUdx///3uyS7btgOPIT2g1aVSKRw8eBCzs7P42te+5vubKDvXV65c0Seta5VKBYZhYGxsDDMzM01XkNq1k2HKWif3UdCJlVYcx/H9LgB49913gSWW9V133QXbttlnoZtmwwQXaFT6QqEA27YDR5B48cUXPWfjYrEYzp8/j8XFRZw8eVLPTrRmpqamcPfddzed4VS9+OKLOHbsWOAPlR/btvWkZalWq7h69SoGBwf1Sa5YLAbTNDE2NuaOUFOtVnH27FlEo9Gmbdu0aVPH1u9mOXLkCGzbds+iOo7j3rLw8Y9/XMsdXpj9Uq/X8YUvfMETBFy+fBlonM2NxWLo6+vD6OgoDMPAr/3arylzN7vllluQyWTcjlvQyFDdXm5hjuVWduzYgcHBQczOziIajbbcr0EdwIsXL8I0TfeWLflbhMZtbSs1PT0N27aRTqfx3HPP4cUXX9SzuO2I7Gx3i2QyCSEECoUCFhYW8MADD3j283LayXbW0z669dZbAQDvvPOOPoloTWyo4AKN+zGHh4cxOzuLp59+Wp+MN954o+n+y1gshkQiEfgjQLTa6vU6Tp061bKzI8/OLefM2UrV63U8//zzmJ6e1ic1+epXvwrLsnDw4EFs3rzZfdbC7/aEXjA4OIhcLodisYhIJIKTJ09icXERhmE0BVOd9vTTT+PMmTO+t7zo0ul0y4CgWq3i4YcfxrPPPovp6Wm3DMMMfdpNgo7loLPGABCNRvUkoPHbMTo62nK/LoX+WxT0vWizvlIsFkOxWHQD/l6TyWTcOxbkswth2slW+67VPl+u2267TU9yyWmtvrfV+hLdDBsuuEDjjJ1lWRgbG/O9H9bvikYnz3AQLdVLL72EUqnkGTd/aGgIANyx3I8fP47nnnvOk6dUKrnztbunfiUee+wxPPXUU6HqiTxTLoTAwsICdu/ejdnZWTzxxBN61p4xODiIhYUFCCHw7LPPolgsrvqDsvl8Hnv27GkKYLZt2wb4nDHftGlTyw7M888/j3g8jr6+PrcM0+l04HsZulXQsSyvMum32Fy8eBEDAwOeNNWuXbtgGIae3FYsFsP8/LyejL6+PrfDOTAwgIsXL3qmy/VbylWxMLfXdSs9iAjTTi63rJdr79697m1wqlKphL179wIdLGuitbAhgwsAePbZZ5FIJJrO1sRiMczOzjY9wD0/P9/0MBXRWhkcHERj6Gj3k8vlgA/GosX09DSmp6eb8pimCdM0IYQIvOphGEbTPbtLMTIygqeeesrtxC7lKkS1WsXhw4dRKBQCz64vp2O2XtXrdTzyyCPIZDKh91GQVuVWLBaxbds2z3dks1k4juOOCnThwgVljg9G1Wm1TvLeb9WnPvUpLCws6MlAl5Zbq2N5x44dMAzDva1MTr9y5QoefPBBN033ne98B0eOHNGTXbFYzPeE1k//9E/Dtu2mDu78/Lz7fQ8++CCuXLnimf/y5ctLvip248aNlmUvA9JuJPeNPO7DtJPLKWu5j/zKsh25bmpZy//Lacspa/mMG9Ga08em7TWFQiHwBUa1xouL1PGt5RjR8mU2ovGSL44bTeuNHDO9Fb/3R+javRxKvjxNHfNdNOpPOp123yOjfuSY/XJseH3eubk5d/z5VuPGy5dGdTvbtkWhUBCGYbTcnqB97Seo3ORxoX/U8fDlvpfj7cs2TrZ5fuUmlyvfh2A3XlLq906Obiu3MMeyUF6sNjc3J2q1mvuuEHW6+r6IyclJYZpmy98O+f4CP6Zpel6spn+fzCPXUa6f+r4EWdaybOX7SmTZy5da6i/nEz7vWljv5ubmBBrvianVaqJWqwnTNNvWJ792sl1Z6+S7KvR3WKjkCwvV8pFyjZfo1Wo1t27p692urCW/918QrSX/Fq1H6D8SfpV+bm6uKfiQaXK+dDrdNY0rbRydCi5kB8KPaZpN9UiSL/Hz+8gfPL9OKgARjUaFpbwROUjQj2c3kfswnU77tkFSq33tx6/cZOfF76N3VGSnE423E6svi/MrNzmP0XiLuGEYvoGF6MJyC3MsSzJIRCPwUAMH2VFvt39Ucl/7HRuyUyvXRf8+mUf+XhmG0bS+enBRaLx9XOb3W6Y0Pj7eskO93shgQu4v0zSb9oefoHayVVn7MU0zsMz148rv+4aHh0U0GhXRaNR3Oe3KWkqn0011l2gtRcQHB/2GVq/Xm+6vJdpIUqkUDh8+3PLWiLVWLBbxhS98AVevXtUnUQPLrTfk83lcu3YtcGjfmyUej+PUqVOel7tRsEqlgsOHD/s+K7NWHMdBIpHA7Oxs4K2mRKuNwQURuSMBvfzyy4H3766ler2Oe++9d92sz3rFcusN9XodqVQKn/vc59ZNoDgxMYHXX389cLhh8icHiblZgWImk8HevXt9X25JtFY27APdRPR3duzYgePHj2Pv3r1NgxmstWq16o5+xQ5qayy33tDX14czZ84gm82ui858Pp/HmTNnAl8yR8GeffZZXL161XckytUkBx9Q39NFdLMwuCAioHHG6/XXX8fXvvY1fdKampiYwBe/+MV1cwZ3vWO59YYdO3bgu9/9Ll555RV90pqqVCq4ceMGpqenebvwMvT19eHq1avYvn1700hfq+nChQvYu3fvTbtiQqTibVFERERERNQRvHJBREREREQdweCCiIiIiIg6gsEFERERERF1BIMLIiIiIiLqCAYXRERERETUEQwuiIiIiIioIxhcEBERERFRRzC4ICIiIiKijmBwQUREREREHcHggoiIiIiIOoLBBRERERERdQSDCyIiIiIi6ggGF0RERERE1BEMLoiIiIiIqCMYXBARERERUUcwuCAiIiIioo5gcEFERERERB3B4IKIiIiIiDqCwQUREREREXUEgwsiIiIiIuqIrg0uUqkUIpGI51MsFvVsAIBisdiUN5vN6tm6UpjtJyIiIiJaC10bXExPT0MI4Uk7e/as52/p0qVLnr+FEBgdHfWktVOpVNZl571cLutJXalYLKJSqejJRERERNRFuja4kCzLcv9fKpXgOI5nuuM42L59uydtOQ4fPqwnUQcdPHhQTyIiIiKiLtP1wQW0AOPChQueaRcuXMCBAwc8aUsVj8dh27aeTB0SiUT0JCIiIiLqQj0RXBw6dMj9/+nTpz3Trl27hlgs5knTxeNxz7ML6u05kUjEDSwOHjzome44ju98funZbNZ91iOfzzc9KyH/n0ql3O+WWq3fUrRbjr5e6kfy27ZW9Px+y5L6+/sRiUSarj4RERERUXfoieAimUzCNE0AgG3bboe3Uqlgz549Wm6vSCSCeDwOIQQKhQLQ6OQ6joNKpeJ5pqFQKEAIgWQyiUqlAsMwYJomhBD4/9u729c4jjwP4N/5A7Lese6VCcZMz704ksWwkZ3FyAYLVj0k4cgSsxo7cPjF4lxPIG/WSBdJR15EudCzyR0EVrKNA2K5eMaLF45l5dMooIBmMBfZHBJ3sAunHkwwfqWxNtk/oO5F5tdbXVPd0yOPnkbfDwh7qp+qq6qrq/qh2vO8cLlcLheuC+1HquTRrOXlZUxMTETutqyurobbqdVqkXc7kuLXi27rKZVKmJycjOwPgPA32ukZt882Mr/v+5F15vN5AMDTp08j6VSv16GU6toZJCIiIqKDaSA6FzDeibhz5074b7FY1Oayq9Vq1ivwIyMjZlBodnYWADA6OgoAYSfmk08+icyH9rwTExNwXRdjY2PmZMzNzeHEiRNmcCgufr1KWs/8/DwAhA172R/9PZZe9lk3OTlpBgFd0peIiIiIDp+B6VzonYj5+fnYq+kmpRSUUrhz507kpeKnT59G5jPVajWg3XDOZDLhsrbtvvjii0B7hKs0o1R988034f93Gj9TP9bTyz6j3XmQ7ebz+bADw/dXiIiIiAbTwHQuAMD3/fD/Y2NjkXcx4jQajfC5f/0RnbTkkR/5W1paMmd5Ls8bP9FtPZJ20lGQ4Xtd1+14TKmXfZb3OGZnZyOPghERERHR4BmozoU5KlS3x26azSbOnz8PGC+F6+IeV3IcBwCwsrJiTuqbNPFLI816JiYmUKlUUKvVkMlkMD8/D8/zIh2HXve5Wq2Gj0TFPZ4md3WIiIiI6PAbqM5FLpcLX+y+du2aObnD2tpa5Lf5sT0b+bK3rF9/AbvZbFpHe9qpncTPJu16ZmZmInckzEe4et1nczvLy8uR3zaD8uV0IiIioiNJHVKu6yoA4V+lUlFKKVWpVBQAFQSBUkopz/Mi88mf53lKKRUJ830/8lvWoYfLdsxwAMpxHKWUUkEQdGwvaTlzXwCoer2uVIr4xS1n6raeuHSS6cJcVvbZpl6vx25XX07fdlz8iYiIiOjgy6jvG550xBUKhfCFbZPjONjc3DSDiYiIiIgi2LmgUNKXyFlMiIiIiKibgXrngnYuk8ng2rVrkXculFLwfZ+jPBERERFRKuxcENAenla+X6H/of2RPyIiIiKibvhYFBERERER9QXvXBARERERUV+wc0FERERERH3BzgUREREREfUFOxdERERERNQX7FwQEREREVFfsHNBRERERER9wc4FERERERH1xaHtXJTL5fBDb/l8HqVSKfxdLpfD+arVasdH4fL5PDKZDKrVajhfoVAI5ymVSmE4jG2Zf41GI/Lbtj2dHs+MEVd9Wj6fj2zXjBO0/ZD5zXVkMhkUCoWO8GazaayJiIiIiKgP1CHmuq4CoACoSqWi1PcfBIz8Vkopz/PCcMdxlO/7CoDyPE8ppZTjOAqACoJA1et1BUD5vh9Z1nVd62+llKpUKpH1Ky0esg2lxVcppYIgsMZV3yff9yPrrtfr4XwSFgRBuD8SJ30dOs/zVBAEkTAiIiIion45tHcudI7joFgsAgA8zwMALCwsGHN9b3l5GRMTEwCACxcuoFqtIggCOI6DXC6HkZERAMDk5CQAYH5+HgCQy+XCZQCgVqtZ7wDIdh3HMSeF9LsVcRzHwcTEBF588UVzUri867rI5XI4d+5cZPrS0lL4f/2Ox6lTp8L9ICIiIiLqt4HoXNjUajUzCNA6CUopFItFrK6uAgCCIOh4lMnWeeiVvo6lpSUopXDy5MlI5+Obb74J/5/kyZMnAICVlZVI+MjICJRSkU6F7/tAu3PUbDZRLpdx6dIlbSkiIiIiov4a2M5FrxzHgVIq8pfL5cJGunQSpDMidw16lclkMDMzgyAIzEk929zcNINCcncGAO7duwdoHSsiIiIiot0wsJ0L13XNIKtTp04B7TsXtjsVExMTqFQqqNVqyGQymJ+fh+d5kbsEaclL19euXTMn9UQ6CXFxFvKI2OTkZMejU0RERERE/TYQnYsgCNBoNADtHYmrV68ac9npjwrp7ycUCoWw4T4zMxO5ozE3NxfOl1az2YzcrVhbW4tM78X169fD/+txls6LkPkcxwnfJSEiIiIi2jXmG96HiYyK5DhOxyhLQh9tSR9hSaeP3CR/MjKTPtKU+aePLqX/6XGBFh893PO8cJQqtEeMMrdlrgda3G1xNvdLteOvj0ZFRERERLRbMur7YU0PpUKhgFqtBsdxEt8/eB6yDZvd3G6/lEqlHd1pISIiIiLq1UA8FrWblpaWYoeV7cdL2f3WbDYjH92Td0qIiIiIiHYbOxddZDIZXLt2rWMkKd/3wxemD5KnT58C7U5GtVrli9xEREREtGcObeeiXC6HjyvJNyqSRk7aqUqlgsnJyfAbGPq3MA7i40YjIyNwHAe1Wg2rq6t8kZuIiIiI9syhfueCiIiIiIgOjkN754KIiIiIiA4Wdi6IiIiIiKgv2LkgIiIiIqK+YOeCiEIbGxuRr77vh+npaWxsbJjBlID5NhharRYKhYIZvKcajQbK5bIZTD2anp5Go9Ewg3fNzZs3cf/+fTOY9lg+nzeDjiR2LhJUq1UcP34cmUwGhUIBrVbLnAWtViucR/54gNNeuH//fjhymalQKETK5PT0tDlLh2q1il/84hd45513wrBms4mbN2/izJkz1gbHxsYGzpw5g0wmg+PHj6NUKlmPkzjNZhOlUik8hgDg5z//OS5evIhqtWrOfmjp6ZTP53Hz5k1zlpAtTZKY+dZqtVAsFsO8LxaLiY3+RqMRzt+tYVutVpHP55HJZHDmzJlI4+mw51vasryxsYHp6Wnk8/mujcdqtRqu03b86DY2NvDqq6/ivffeMycBCetqtVoolUph2Up7/mk0GpE6IpPJoNVqYWRkBI8fP8aZM2es+38YpDl3o0s9OT093ZE+8pc0MmWr1cKZM2dw7NixyGiNacpNuVzG8ePHcfz4cWt5ScrrS5cu4YMPPtj3iwy7LSkN4nRbptc6E0DHObFcLqNUKmFsbAylUsmaf0eK+cnuoyIIAuX7vvI8z5yklFJqcXFR3bhxQymlVL1eV47jKNd1zdlUpVJRAMK/bDZrzkLUd1tbWyqbzSrbIRwEQaRMAlDr6+vmbBHr6+vKcRy1tbUVCfc8TzmOowAo3/cj04IgUJ7nqSAIlGofC9ls1nqc2Mix43meqtfrkWkSn27xPgyCIFDZbFZVKhWl2vVJNpsN6xddUprY2PJNX7Zer6vh4WGVzWY78lbmzWazyvf9rmm9uLiostlsON+NGzc6ytZhzbdeyrKkJ4DYPNra2lLDw8PKcRxVqVTC9cbZ2tqKTbdu63JdV3mep7a2ttT6+rrKZrOx8dJ5nhepI8bHxzumx50fD7K05+5u9aTUe+bf8PBwZD2m8fFx67Hdrdz4vq+Gh4dVEARhnpt1bre8luWkrhlE3dLAptsyvdSZqp1XsJwTpf4e5PRPq7NlMuDq9XrYYPJ9v6OiFmbh8H3f2nFwHCd2HUS7ZXx8XA0PDytYOhee53WU325c141dpl6vx1akZuUrla6tkaSTxtvi4qI5KVSpVKyNgsPG1kiT+kRPvzRpYjLzrV6vd6S95J/Z4PE8Tw0PD3fMH0catzrXdTvy6DDmW69lWabZGjXSwBsfH+9YZ5y4C13d1iWNGX2a7/vKcZzIfKYgCLrOo9p5btvHg8wso3Hn7qR6cn19PWyM6jzP6ziOdNKZiRNXbqSjox/7ctzqHd40eS0XM8y4D4K0aaDrtkwvdaZqlw059+rnRDmGpSNjni+Pms6WyQDa2tpSlUolvIIRV6Ek8TxPTU1NRcKk0O50nUQ7sbi4GFZeZudCTlJy1SvNCabevpIeJ65zYSPzmidP3fr6emzFbeq2rsMg274zoJM0kMZEL2kiuuWbzsw/212HJBI/My9kPWY5s8172CSV5bhGomp3/B3LXcA4W+27kLa86Lau8fHxjo6c5JVtfcJr37EaHx+37oPwfb9j/YeN7dzdrZ6MS7tujXbXdROP4bhyI8eRKavd4ewlr13X7ahzBkEvaSB2soyy1JnCdd1wedt0Wz4eRQP9zoU8u/zqq69idXUVy8vLWFpaQrFYNGeNJesAgI8++igybWFhAQBQq9Vw+fLlQ/2MKh0OrVYLH3zwAT788ENzEgDg3r17AIBHjx5hcnISf/u3f9v12dE7d+7g7NmzZvCOfPfdd8hms4lfhv/444+RzWbx7bffhs9Fxz3f7rou7ty5YwYfKtvb2/j2228jYadPnwYA/O///i/QY5qItPkm63BdNwx7//334boubt68iUz7HYOkZ4T/8pe/AO381b300ksAgD/+8Y+R8EHItzRl2bSxsYG7d+9ibGwMb7/9duwz3rovv/wS29vbYZkQadb16NEjvPLKK5HlZD3/9V//FQkXrVYL1WoV29vbuHv3Ls6fPx/7nP65c+dQq9US3zE4qJLO3d3qSTMv0H7HbWxsDENDQ+YkoL29Wq0WHhO92NjYwPDwsBmMs2fP4quvvgJ6zOvR0VHcunUrEjYIekkDsZNlbHUm2u9V/OxnP7OWD8HvUn9voDsXjuNgeXkZy8vLmJubQy6XM2dJ1Gg04DgO5ufnsby83PES1tLSEoIgQKVSgeM4ePToEd59993IPET99O677+L27duxJ7iJiQlsbW1hcXERrutie3sbb731VmIjdXl5GaOjo2bwjvzhD3/AP/3TP5nBEXfv3sXZs2fhui6ePXuGGzduYH5+3nrsvPLKK1heXjaDDxXHcXD37t1ImDTWjh07BvSYJiJtvn355ZdwXTc8ITYaDWxvb+OVV17B9evXsbW1hWKxiMnJydgXzU+cOAG081f35MkTAMALL7wQCR+EfEtTlk21Wg0AcOHCBXzxxRcIggDZbBavv/56bCd/dXW1oxGDlOsKgiAsQyazQyuGhobw7NkzrK+vw/d9ZLNZzM/PW/P+7/7u7wAAa2tr5qQDrdu5eyf15G9+8xu8+eabZnBI0qiXzqhoNpuxdfqf//xnoMe8fvnllxEEwaHsFCbpJQ3ETpYx60y0O4D//d//HRnwhOINdOciCAKMjY2Fb+/HVe5xRkZGoJRCpVLBs2fP8Pd///cdB2sul0OxWMTXX38N13Vx9+7djnmI+uH+/fv48Y9/nHjVBO3Gw2uvvYalpSVMTU0hCAJ8+eWX5myhIAjMoB3Z2NjAw4cPMTExYU4KyUl+ZmYm3I933nkHnudZj51jx471LX775dq1awiCILyK2mw28fnnnwMAfvKTn/ScJiJNurRaLXz66aeYm5sLwx48eAC0r+bmcjkMDQ1hbm4OjuPgV7/6lbb0X+VyObiui/n5+XA0qI2NDSwsLCCbzXaUycOeb2nKss3Kygpc10WxWMTQ0BByuVzYsbQ13qF1NE07WVcvTp8+jYmJCTx69AjZbNaa99Lg/eabb8xJB1qac3cv9WSr1cLy8nLiUw8HKY1+8IMfAACePn1qTqIubHUmAExOTuLXv/51JIziDXTnIpfLYW5uDl9//TUuXLiAt956C4VCoeehEovFIn7/+99je3s7tvKREzR4QNMuaLVa+Oyzz3pu7Hz00UdwHGfXT3ytVgsff/wxlpaWzEmpvPHGG8CAHjsTExPwfR/VahWZTAaffPIJtre34ThOR6Nc1480+ed//mfcvn071V3b8fHxxA7BF198Ac/zcPnyZRw/fhy1Wi0cwnGQPG9ZNuVyOQwPD3c0bnfCXFc2mzVnCcVdrTXJeTIp7w+rNOdupKgnv/zyy10t5z/84Q/NoJBM60deH3Y7SYNel7HVmeVyGe+9917s3SXqNNCdCzE0NIRisYjNzU3MzMxgdXU1fMY4bYWf5lZnLpeD4zjhIwRE/fL555+jVqtFxlqfnJwEAGS6fJ9gbGwMJ0+eNIP76t1338X777/ftfKVY0MepxFypc18vGZQTExM4NmzZ1BK4cMPP0S1WsXs7Cywi2lSLpdx4cKFjg6MlAWz7jt27FjiiVguoCil8OzZM5w7dw6PHj3C9evXzVkPtbRl2SaXy2Fzc9MMxtDQUGID0ibNusbGxrCyshKZLnfCfvKTn0TCk5w9exaO45jBAyHNuRtd6smFhYWws78bLl68GD4Gp6vVarh48SLQx7w+zHaSBr0sE1dnTk5O4vXXX4+cfyU8k8l0PHZHR6RzoRsZGcHc3BwePXoEAPjkk0/MWazkWcyf/vSn5qRQq9VCPp9PdZWQqBcTExNoj+4W/vm+D7RfIEu6ytpsNhPLreM4sc+epjE9PY33338/rJCTrmbLlVcZDEE8efIk9kr+IDV6Wq0W3n77bRSLxTCNdpIm6JJv1WoVJ0+ejORDqVSKlAV5qVU8fvw4Nt9MGxsbuHr1KiqVSmx9dxjzrZeybPPGG28gCIKOxsbm5mbs8/q5XM76rH+adb355ptYW1uLLP/gwYPEcmPzpz/9CdeuXTODQ3GN7sMgzbkbCfVks9nE5uYmXnvtNXNShKSRLS+7ke3qeS3/l2k7yetBu9C5kzRIu0xSnWmee+Wlbd/3oZRK3YE9Uszho+ivw5TJEHVbW1vKdd3IcHZB+yN8Mizd+vp6OEQZ0V6wDUXrax9Dkw+DdRsmWcbmjrO4uKgAdAznuLW1pcbHxxUsH5qSMftlmE19WRniU//QVdz3HWTM8MMuCIJwOGzb/vSSJiIu36RcmH/6WPB+e+x/GRLzxo0bKpvNhmPq2/JNtes5WTapXB22fEtTlnVTU1MKxncJhOu6kY+hee3vicSRIc1t0qxLT2tbuZH8kryt1+uR4VIXFxeV67rWIValXB6WbzmlOXerHuvJGzdudCxvI8PbmsPM6pLKjd/+iN7W1pYKgkANDw93bLdbXgu/y7cfDrNuaWCW97TLmMe9WWeapJyRnb1GO+KkQpIC5rpuxwEctD9ChPZXuT3LB3eIdpOtc6GX2/Hx8VSdXWlA2Ojrkz8hHxKy/cnxEtdIXVxcDI8fx3E6ji9hngQOI0nDbt8USJsmwpZv0nix/Zl5ICdhtOs4vazY8g1aXdetsXnY8i1NWRbmdLODJ50Amd7t3CBpbSsbadald4xs5cZsbC22v7Qu8yc1kG7cuNHRmTnI0py7VY/1ZC8fmnQTvi/Rrdyo9vGbzWZV1vJtHJUir8X4+HjH8T4ouqWBWd67LdNLnakDOxeJMkru7xDRkVUoFHD16tWeHgHZbdVqFZ9++ikePnxoTqI25ttgKJfLePz4cccINfstn8/js88+6/pIEH2v0Wjg6tWr1ndl9kqz2cTw8DAePXoU+8gi0W5j54KIsLGxgbfeegu/+93vYp9d3UutVguvvvrqgYnPQcV8GwytVguFQgG//OUvD0xH8ebNm/jqq696Hl3xqJMhp/ero1gsFnHx4kV+j4H21ZF7oZuIOp0+fRqzs7O4ePFiz9+D6beNjQ0UCgXMzs6ygdoF820wDA0N4fbt2yiVSgeiMV8ul3H79m2O678DH374IR4+fBj71fPdIoMPHD9+nB0L2nfsXBAR0L7i9dVXX+G3v/2tOWlP3bx5E//2b/92YK7gHnTMt8Fw+vRp/N///R/+4z/+w5y0pxqNBr799lssLS3taDjeo25oaAgPHz7EqVOnOkb62k337t3DxYsX9+2OCZGOj0UREREREVFf8M4FERERERH1BTsXRERERETUF+xcEFFoY2NjV19EvHnzJu7fv28G03Pa7XxLY3p6et9fKj9smG+DQUb72kvMNzrI2LlIMD09jUwmg0wmg+npaXMy0H75TeaRP/0z80T7pdlsolQq4fjx48hkMubkDtVqFb/4xS8iI41Uq1Xk83lkMhmcOXOm5xcU79+/H9n2pUuX8MEHH+x7g2qvTU9Ph/lw5swZawdLT+t8Po9yuWzOYmXLN9309LS14ZOmfjMlxfHnP/85Ll68eCBGO+qXjY2NyP7aGnMySlYmk0GhULDOY7PTfBONRgPFYjHcbpKk43gQ8y1JtVrFmTNnkMlkYo8xs95KsrGxgVdffRXvvfdeGNZqtVCtVlEsFmPzJk25SZrnqOUbHTLmV/UGRb1eV57nWb96mobv++GylUol9muM+tdT0f7aJ9F+kzKb9hhYX19XjuNEvv4rX/KVr9PeuHFDAUj9tVr58rBZzWxtbanh4WFVqVQi4YPK9/1wX4MgCL8Uq+fL4uKiAqBu3LihVDs/stls1zSy5ZtOvuJtfg04bf2mSxNHiU/aMnKQBUGgpqam1NbWlgqCQLmuq7LZbCStpYxLmlQqlY55bHaab8LzvPArzt3SOs1xPEj5FkfqHcdxVKVSif3KfFy9ZbO1tWVNN/myeVwepik3aeY5CvlGh1P3o+cQq1QqynXdsDKJq8hNQRB0NMhc1+3oOARBoBzHiYQR7Tc5CS0uLpqTYrmu29GQleNG57qu9WRpMz4+Hp5gTUEQdJwoB5U0DoQ0GvT6RNJKNzU11TWtbfkm9MaUvp609ZspbRyl3j3szHSVBr/ekPM8ryNNXNdVnudFwkw7yTch20zboEx7HA9KvtlImo6Pj3etc5LqLZPv+4l5Hde5SFNu0syjBjzf6PDqfvQMALkC5TiOmpqair1ikcRxnI7Gmlw9Gh8f7zhZE+2H9fX1yNXlNOr1uspms5EwWY9ZruWqZ7cT9OLiovI8T/m+H3uSdl2369XyQWU27uQOqF43jY+PJ+ajLd90U1NTYcOjW+PDVr+ZeomjrewcdpVKpaOxJ3cPdDdu3EjMl+fJN9tdhyS9Hse2eQfB+Ph44p0ikabeEnKRICkv4joXacpNmnnEoOYbHV5H4p2LXC6Hjz76CF9//TV+9KMfYXx8HIVCwfrcs6nRaIRfnX3ttdfCcHmmcnt7G3fv3sX58+eP3HPkdPB8/PHHyGaz+Pbbb8Nn/EulUuJ7QHfu3MHZs2cjYX/5y18AAN99910k/KWXXgIA/PGPf4yE61qtFj744AN8+OGH5qSI0dFR3Lp1yww+ElqtFn72s5+Fv69fv45sNovx8XFsbGygWq12/dKuLd9Eo9FAEARdP2gXV7/Z9BJH13Vx584dM/hQarVaKJfLWFhYwNLSUhjebDaxvb2Nl19+OTL/Sy+9hO3tbesz9HjOfHv//ffhui5u3ryJTCaD48ePx743gB0cx4OUb2JjYwN3797F2NgY3n777fD9GfP8n7beEl9++SW2t7d7/hp9mnKTZh7dIOYbHW5HonMhhoaGUCwW8fDhQ1y9ehWvv/564guq5XIZ58+fR61Ww8LCAprNZjhtaGgIz549w/r6OnzfRzabxfz8PG7evBlZB9Feunv3Ls6ePQvXdfHs2TPcuHED8/PzePfdd81ZQ8vLyxgdHY2EnThxAgDwhz/8IRL+5MkTAMALL7wQCde9++67uH37dtev+7788ssIgiByXB0FzWYTQRDg0qVLYVgul8Pvf/97BEGAixcvYnV1teuXdm35hnYjaXZ2Fr/+9a/NSRFJ9ZtNL3F85ZVXsLy8bAYfSn/zN3+DyclJrK2t4d69e2H406dPAQA/+MEPtLn/Shr2pp3mW6PRwPb2Nl555RVcv34dW1tbKBaLmJycjD3v9HocD1K+iVqtBgC4cOECvvjiCwRBgGw2i9dffz3SSE9bb4nV1VW4rmsGd5Wm3KSZRzeI+UaH25HqXEAbKWJhYQGLi4sYGRkxZwlNTExga2sLvu+jVqthfHzcnAWnT5/GxMQEHj16hGw2i1/96lfmLER7QjrKMzMz4dW0d955B57n4e7du7GNxyAIzCDkcjm4rov5+flwNJKNjQ0sLCwgm83GXq27f/8+fvzjH8dO18mJU06kR8XU1BT+/d//vaMR88ILL6BYLMJxnEi6x7HlGwD867/+K2ZmZjrWb0pTv5nSxvHYsWOx8TtslFKo1+twHAf/+I//2HHFu1dx6dIt3x48eAAA+Oijj5DL5TA0NIS5uTk4jhN73un1OB6kfBMrKytwXRfFYhFDQ0PI5XK4e/cu0B4aGz3WWyKuPt0Pg5hvdLgdic5Fs9nE9PQ08vk8/ud//gd3797F0tJS18cA0L5DMTExAd/38ejRo47bkSKXy2Fubo4HOB04b7zxBrCDRvwXX3wBz/Nw+fJlHD9+HLVaDa1WK/aRjVarhc8++wwTExPmJGqrVqu4ePFiR92zsbGBt956Cx9++CGWlpbCdO+1ISsdzKSLJrq09Rv6GMfDaGRkBEtLS8hms/jNb34DWK76m7pN1/Wab7rx8fHE806vx/FRkMvlMDw8jGazuef1Vrdy8cILL6Sah+ggG+jORbVaRaFQwNjYGH70ox/h66+/Dq/69OrcuXNmUIezZ8/CcRwzmGhPyCMQ8siDkDsEvZ6Q5MqoUgrPnj3DuXPn8OjRI1y/ft2cFQDw+eefo1arhd9OyGQymJycBIBUY/EPukajgdXVVes7Ch9//DHy+TyGhobCdB8fH4+MnZ/G7Ows/uVf/iWSB7VaLcyXuOfz09Rv/YrjYTU0NBR5V+L06dPIZrPhHQXx4MED612BJGny7eTJk4DlivmxY8eQzWYjYbpej+NBk8vlsLm5aQZjaGgIP/zhD/e83kpTbtLMQ3SQDWznQk7kMzMz2NzcDG+J7tR3330Hx3ESD+o//elPuHbtmhlMtCfkatzCwkIk/MmTJ4ll13EcfPvtt2ZwxMbGBq5evYpKpRLbOZ+YmEB7BLrwz/d9oP1oif4yrE46RYNsY2MD//mf/xl5R6FarYaPqvz5z3/W5v7eP/zDP+DZs2dmcMiWb0tLSx154LouXNeFUir26mya+q3XOA7ihZZWq4U333wz/F0sFrGyshKZZ2VlJfGuwE7z7ac//SkARN77AIDHjx8nbk+X5jgetHx74403EARBx/uVm5ubePPNN3dcb+VyucSBMpKkKTdp5tENWr7RIWcOH0V/He5NxgaXD9XoQzXW6/XIEIyLi4vKdd2uQ90R7SYZi1/Kpgx7mTTMqOd51uESVbvs+74fOR50rut2DM+pSxrS0ff9I/GdGPmIGbSPbcqfDOsq6ST5FgSBGh4e7hiKUpeUbzpzSNM09ZsMszk1NRWG9RJH23j8h022Pcy45NHU1FRHWZd0krSUtE0a7nyn+abaeZDNZsNhR83t2fJNpTiOxSDkm43UU0EQqK2tLes3JHRJ9ZaotD8+GWdra0sBsG4nTblJM48Y1Hyjwyv+yDjC5GQLIDzBmGNZ6w0Gx3GsJ1ii/bC4uBiWX7PRaCMdEpOUf8/zrCc09Zydi/Hx8Y5G0KCRr1rb/sx0k85W2jolLt9MZiM1Tf0W10hNG8dslw7tYTA1NRXJq7h9XV9fDz+65rpuR1qadppvQjoJtu3Z8k3yOek4FoOQbzbSoZD89Dwv8UJgUr0lJK1t35eQ5fU/c7405SbNPGqA840Or4z6vvIhoiOsUCjg6tWrsbfc+63ZbGJ4eBiPHj2KfTyDutvrfEujWq3i008/xcOHD81J1MZ8GwzlchmPHz+OHZJ5LzDf6CAa2M5Fo9HA+fPnzeAO9Xp9RyN0EA0SGQnod7/7XeJz9/1SLBZx8eJF68vNlN5e51s3rVYLr7766oGJz0HFfBsMrVYLhUIBv/zlL/elo8h8o4NqYF/oHhkZ6XhJy/bHjgXR9yOYzM7O4uLFi4nDkT4vGQIz7svO1Ju9yrc0NjY2wq99s6GTjPk2GIaGhnD79m2USqXYb77sFuYbHWQDe+eCiHq3sbGB3/72t/joo4/MSX0hH61ix6K/djvf0iiVSrhy5Qov2PSA+TYYWq0W3n333T3tYDDf6CBj54KIiIiIiPpiYB+LIiIiIiKivcXOBRERERER9QU7F0RERERE1BfsXBARERERUV+wc0FERERERH3BzgUREREREfUFOxdERERERNQX7FwQEREREVFfsHNBRERERER9wc4FERERERH1BTsXRERERETUF+xcEBERERFRX7BzQUREREREfcHOBRERERER9QU7F0RERERE1BfsXBARERERUV9klFLKDNxvmUzGDCIiIiIiIouD1Jw/kJ0LIiIiIiI6fPhYFBERERER9QU7F0RERERE1BfsXBARERERUV8cis5FtVpFJpNBJpNBPp8HAJRKJXO2PZHP55HJZFAul81JR0ahUEAmk0GhUDAnPbdyuYxGoxGms/nXaDTMRfpC314aZnnUNZvNSJz1stLPciv5cJTL4kG32+XWVCqVdu3YPIwajQaPjx2oVqt7VmaJaPAc+M5Fo9HA5cuXEQQBlFJYXl5GJpNBs9kM5ykUCtZG3k5JZ8asXPP5PGZnZ1GpVDA5OdkRj6NiaWkJnufh6tWr5qTnIg2ikZERbG5uwnVduK4LpRSUUvB9H+fPn+97mufzeVy7di3cRrcOQCaTQaVSgVIKY2NjHY2Xe/fuhXFWSmFiYiKcduHChY5ytVNLS0twHAeXLl0yJ9EBEQQBHMfByMiIOanvpNwGQYBarWZOPnLK5TJmZ2cjxx+lUywWcefOHTOYiCiVA9+5ePDgAVzXRS6XAwDkcjlUKpXwN9qNrM3NTW2p51MsFqGUijQIyuUy8vk8isViOF0pFYnHbjpoV5KWl5dx9uzZSFi3RnmSQqGAmZmZSENgc3Mz0oGRRvTa2loY1o3cRahWq+YkoJ2vAMLtnjt3DsvLy8Zcf1UqleC6LorFItDuLKysrETmefz4ceS3rp8nbelk9VIGnyePjqrnSbO1tTWMjY2ZwX3XaDQwPz+Pubk55HK5AzUk4X6Q43ppacmcRDHK5XLkws2pU6f6fiGHiI6GA9e5uH//fuRkfvLkSdRqtUgl9+KLL+LChQvh770wOTnZ9yv1acndm724+pmGPLakN2rz+fyO86RUKmF0dDSyf41GA0EQRDow0ql48cUXw7A48pjT2NgYlFJhZ8A0OTmJ2dnZ8PeTJ08i03XNZhPz8/OYmZkJw7755pvIPNVqFfPz88hkMrGN0qTOSy/u3buHa9eumcGxniePjqq4PExrYWEBV65cMYP7bnZ2Fp7nmcFHUrVaxcrKCu9Y9KBareLWrVuROv3kyZO4d+9eZD4iolTUATE+Pq7W19fV1NSUqtfryvd9ValUlFJKua6rAKh6vR5Zpl6vKwAKgAqCIAz3fT8M1//0cFmX+dtxnHBepW1bn0/+L/ET+ryyvKhUKuE0z/MU2nGW7Xmep5RS4TT5bW7fJPO7rhv+dhwnMo9sw4yzvl5ZPgiCyG/VTmf9t+/74f7p+6Wv37ZuG1ne5Pt+RxygpYuNpAWM8hBHtm2WHTP9hJQfned5kXjKuuLKrGrnhxk/Pe2SyP5J+pjrl+mO4yjXdcPjSM8PfTv6MSHpl0RPYylr5nEov/W46duJKw/msec4TiS/9e1IPGW9kqZ63HTmspL+ccePvi5zfUn7om9H/p9En1/iIunW7dhXlrpOXyYuL8w81Onp4ft+ZDra6Syk/tLZ0kbiJL9lHjPtzHjp5VaPv+M4sceK5JvMr5cP/bdOrx/1smeLo6xHtmOLR9oyaZaxIAh6jq+5fT3/ZV/M3zKPua/6dlW7fjTjTESUhv2MtQ+CIAhP7OPj4x2NJqkQzcrUPMFJZSyNB7Ny1ueXcNd1I+t1jUZbpVLpOInKiUNAO3mYlbKcNIXrupGTlmxPTqiVSqVjurnfOn0Zfd1y8pKTiK812PVt1NudOUkb32hUSLyEue9mfG3rjiPbM+knPPlLSoNu0208o2OgLHmjc12342TrGA1gnW3fJE/09FMp4l9pN7RkHt/oBEkjUqbL/LIdM49Ue3/0dSTti2pP19ehly2llVO3fazKtvXtxO2/8DwvnMdtN3CV5bh2tAZmpX18yjYkLcw6QP+t73ely/GjS9oXOc71/U5KTzNeUv8py7bNvNOZ8VAJeaHnodn5sU2TehDtsqXHw9cuMqgUaVOpVMJl6vV6R9nTt61vxzGOo3q9Hnus2I5pqYNkmhlHWbf81jsmehzNerxSqXScp0S3MinHpyzvamU9bXzN9IdxDjLTNwgC5bbPNbJ+fbq5L57nJZZfIqI4B6JzsbW1pXzfV+Pj45FK1iQnSr0StFWw+onHNzoXMr9e8erTA8vVODNO5snPTWhEmNtS7Upb1ifb87U7NXIiFnr8bGT75snBPCnr+2E2XnSu0ZnRT4q29DHjm7RundmAEWbDJC05+add1kwfZWkw68yyJfFMauiY6zIbGWmYjR7VXo+UubjpZsNIj6c0XHRmvutsZVxvkFTaHWpzHrP8m40ek2N0YJQlzczyYcZNn24rY9KwE3HHj+yTSNoXc52qPX9cesbNr2/P1uCz8Y27fHF5Yea5vpxn3PG0HcNmedbjl5Q2Sjt2ZHlfq7fNeJnM/DWPKZ3t+JW0MPPCsXSm9eNZyo783zM6F+ayOjPOepm0Ha/676T4mvsmzO3p+V9vn688rYy72gW0wFKnyzxJ+0hEFKd7C3APSKU3NTUVPhq1uLhorUjNE4JeScp0fTnzZOO2rwRJw8RsQJi/lVHxK+PEaDZ8TOayZpichM04i4rlirNOTgxmWumNFzmZmfulnzyF2ajQGyDy29yWbf9t6zb5lo5XUngvnPadj6T1OMbjFZJm5r4IMy99yyMLOlsDwbM8ttaN7SSvl3u9ISHMMH2/9IaOsIUJW16aYW7MHR9ojTW3fXEgjhwL5vGi77+kuT6PuU69/NjSTp8ed/yo9rJ6/iXtiz5ND4tjlr24MHNfbVzj4octL8wGraNdVTenKUtHRxllSPJKnxaXNvV2R1dfn9Oug23bNullOWg/OmQTVxeb21YxnTszLvox4bXPUfK7knDXQlnyXi9zntaZknjo+Z42vsLcbxiPc8m2ZRtS5vXp5vZk383ySESUhr222gdbW1uRCk+1K1mT3hAwK0mlVbTyp5+IzJOHsjQg9EabspxElXZijJsubNM8o3FpNn4qO3gkytyGam9HTwdzmvAtnQeZLmlpNlzq9Xpk//Xlk9ZtiptupsnzSDpJ6idclWK7ZtnRy6KNme4qxTI25nZ9o1NjTpd8kzAzj2zp7loapEJv3AmzAWTGQVmORVse6GzbUe11y585va7dwRH6tsw8NstD3PEj84mkfZFpuqT0tM2v56nffkQxbl6d3gAWsORFxXjvJqmOM9NI5pH9kelmPWFLG2U0pmV+2V63/VNGeTXzWmdbly1M9XAMoN1QD7SOUNDubMRJUyYlrczt9RJfIWVH/vSyoCx1jl7Hy/S48kJEtBMHZrSooaGhyHCyMlqQ/g2BarWKIAjCIUnv3buHsbGxyIguJ06cgOd5aHecIiOGrK2twfO8yKhEtVoNL774IqrVKprNZjg+vAxdurq6GhlKUoaDXVtbC/8fBEE4mlWj0UAm5kNshUIB8/PzGBsbC5et1WqYm5sL51ldXcXVq1fDfarVajh79mzsqDWrq6uR0Y7EqVOnIt+IkCFZm80mlpeXI8Pa6ul+69YtXLlyBc1mE7Ozs3BdF5cuXUKpVEKz2cTm5iZOnDgRjiKyurqK0dHRcBjDpHXbjI6ORn43Gg3UarW+jbAjw3LaRosaGxsLR3sql8uRvKhWqx3fTnFdNxxNSvJDypeMoCUKhQLq9Xr4G1r51ctkqVRK9cEz2W65XMbKygo8z7OWiWq1ivPnz0fCzDwy5fN51Go1jI6OphruOJPJIAiC8JsdjUYDrut2jGZ24sQJoH18SB4UCoWO74KI5eVlXL9+3QyG4zjhd0Xm5uZQLpfDNLtz505kBKxMJgPf98P8zufzWF1djaxLH0o47vhZW1uD67poNBqoVqup9kXSVuKmH8dJSqUSJicnw+09fvy4Y5QeW76hHU/HccJRfuLyQkZYk/pgZGQE+Xw+rOeCIADa25H6Th+pbWFhIRwtb2xsDJ7n4cqVKyiVSl3TZnl5OVLHPXjwANeuXYukjZQ7vZ4SJ0+exObmJsrlctd6wXXdyO8HDx7A9/1IGLRRCEWpVOqoi8Xo6GhkFCXHcazziTRl0vd9KKWwtLQUqWvi4ov2uUDoy5w8eRKO44R5m8vlwu80STrqdc7KykqYd81mE0EQYGRkJJIfMzMzkXjoxxwRUVdmb+OgkKt3SVdlvPbVef1KmYSZ4cpyF0CuEskVIfO3al9xMq/ywbiC6mojdJhXl/S419vPvqJ9N0C/GijkqpZ+pczcbx0SslC/QqZfmdTjZK5blpH59Xlk3/V16fvTbd2mivYMtjLSEZb82w16GunMq7lC5jWnJV0ZFrYrhEH7JcskepmWcqOnjz7d00bZkSuuZh7p5QrtPJJ0sKW5eWVaaekgV2ltyynLVVVz/4UcGzbm9vUyo+dfXPyTpsv+mCTeepyS9kWPh6QJEsq/Pn+l/Sgm2vnXy3HgGo9EJeWFXk7MuEmYlFEzL/Q4KS3+kgZxaVM33v3R1yXz6PEy51XasaXvp43tWHIsI7MJfbvmcsIMl/1P0q1MmsefeRchLr76evVllKXuFOZdCqXltTKOLVGxnJf8hDsnRESm7jXlIeIanQc5eXQ7KcWxnWSpf4Iujxf0Qj+x2v7ME/xek06BKS6cuuPxma6x2yvf8l7Vfqprj2F2s9/lYRDKpK2DR0TUiwPzWNTzqlarqNVqkcdf5ubm4Pt+4heTTeVyObw9fPXq1cTb3/R8evmydDftjnLsn+2xqL0ij3yYcZBHUsxwSufBgwcdj9UNOv3xu1KphEqlYs7y3G7duhU+erpfCoUCGo0GyuUyZmdnU9cVV69eTfVo32457GWyUCh0fZSViKgrs7dxmJm3hndy10JuwSPhkQbqnyBh9JdBII+5UP+Yj5UcpTs/+r73e7/1+nO/r17LI0A7qRv6dTe0F4e9TEr84x5bJCLqRUZ9f2udiIiIiIjouQzMY1FERERERLS/2LkgIiIiIqK+YOeCiIiIiIj6gp0LIiIiIiLqC3YuiIiIiIioL9i5ICIiIiKivmDngoiIiIiI+oKdCyIiIiIi6gt2LoiIiIiIqC/YuSAiIiIior5g54KIiIiIiPqCnQsiIiIiIuoLdi6IiIiIiKgv2LkgIiIiIqK+YOeCiIiIiIj6gp0LIiIiIiLqC3YuiIiIiIioL9i5ICIiIiKivjhwnYtCoYBMJhP+AUCpVAqn69MymQyq1aq29M7k8/lwffl8HtC2Wa1Ww2nNZtNYMl6z2QyXazQa5uQIma9cLpuTetZoNCLphfa+6GnWbDZRLpfD/SmXyx3pmslkOtbTq91IV2jp1Y+8T9LPfEnSbDZRKBQiYWaeNBoNVKvVsCyZeWoub1uH/O1mvjYajUiceyHLdctX2f7z7sdukvzZjTjqdUu3tCIiItpz6oDwfV8BUL7vR8IBKNd1I2Gu6yrHcSJhO+F5ngKgKpVKGBYEgQKgPM8Lw+r1ekccksg6giBQnud17JON4zgqCILI7162KfR4VyqVjn1R7XWb6SfzShxkH9LE3bRb6ara5aFeryvf9zv2azeY+bIbzDSJK/Pm4Sp5Vq/XI+G6/cjXIAg6ylc3vear67qR/d7p8bKbzDj2m1keiIiIDoIDcXaSjoXtRFypVDoaG47jRBo4OyENJVvD0ff9SOPL/N2N67qR+YMgSFx+J40xm0qlEqaLNCpt6WRr1Pu+3xHmum5HWDe7ma6e53U0YntZvlc7yZd6vW5N8zjSoJb/xzX8bXGx5ZnJNs9u56vtmE2yk3w9DA3r3Yyj7Rjuxvd9a/4RERH10+6d/VLqdiXVbKxJA+x5TpKyjrhGYKVS6bgqmnZ7tvjFdZyE2TjbKb2BZl5N1tkab47jdIQlrcNmN9NVyom+vPm733rNF4lj2n1SRp51u/pu5oUtz0y2eXY7X3u5Yr+TfO2187IfdjuOnufF5odNpVLp6JwSERHthn3vXCRdEbWxXYk12RpUOtfyiEkc2xVj1d4GgEijS37Ln9++IyN/cQ0mvTEmdxwkfuZv+b+ZBnoDT7Ybtz2TrVEs+6dzXTexwdSPdJV1SPopI63Rbhjrv839lP2Rafo6Tfq6PM+LxMnWSJaGth6Per3eESezc2mLa13rOEs+p20w2vLMZJtnt/NVxVyx70e+Cr1hbR4fev5IGQNgLWsmPY6e5ynXdSPrD4IgUrbMtJdtee07Mba8NOMr/zePZ2Wkj6xTn2ZuX69vJC1lXgnX00HfF9v+EBER7URnK2CPOV2u1pqcLh0HlWIeOfmmYV69lhOyhJmdHbMR4Hd5htzWyJYGsf5bbxRKHPTGlz6/2+M7KWYnCDGNnW6N0OdJV2Usb15pNdO5W7qq9vocxwnTySwXZtnT89WWL5JO0gjzjM6IZ7xfIw1daWSaZcMsN5K/afi+3xE/037ka8VyxX438lVnHi96p0LySs8HGz2OcnzJ/LJ+vUzo5UryWfJeOhBxuh3PZh0j69e3Z+ajecw7jhNJRz2+SoujhLnGo5xEREQ7FX8G3CO9NFzMk/BOmCfublzLi6P6suZJ2YyfubzJ1hjzjKueXvsqqk7fjm88S202mrsx92EnnjddzQau2RB3jPdszOVN0ojV00XfT3N7ymiAmfliazCaDWFze3oDVabL74rlUaJunQWdLf6m/chXs+ya8XzefLU1rM1t+paOl7kdnXlMq3be6Z1IKU/K0vE08zkIgo446rodz7b16WXPNzrmtvW57bsuyhJfWz1q/iYiItqpQ9W5sDUaetVLY8k8KesNTFmPHvd6+wqjMBsFNrbGlNlINX+bDV0z/ZweOhe2hsZOPE+6SrrJPsK4wi7rlulp0tVscOr7aeaTsuSdmS+2xqkeVm9fjRZ6WZV1mw1CXS+dizR5lmaeNHrJV2XcVdiLfFWW48PMOzMeOr3TEBfmGKOr6Y17W8PeFkedGV/9ePYtj32aYfryZhrawnyjE6zHWbadFF8iIqJeJJ/J94Cb8Dx3YLx47MZcrbWFJTEbC7q68Ry853nhSdozngk3eT0+EqW0xphso255xMNsbDjalVY9fkLiaYYLPU5mR+V57DRdfePxHTPeZuMqTbqa8dAbVGY+qfb8epieL2bHQ2lxFp7xSJSUa1ie9/d9v6PRL+szw0WaPKtod0Pi5tmJtPkqZXe38zVov/ugLMeLzKOLqzdUzN0dWB5J0uPuGI/a6Q1zSXdzX0W349lcX9DuKEhY0O6Y62lsrs81RgPT4yu/JU/MZYmIiJ7Xvn9Eb25uDmh/GEvXaDQwNjaGiYmJ8HetVsOVK1ci85VKJZw6dQpofzTMXI/NwsICgiDo+PBYtVrF7OwsisViON+VK1fwySefAABOnToF13XR7pSFH7OSj8AtLy/jwoUL4fpWVlZw4cKF2A9pVatVeJ6HarWKp0+fAgDu3LmD0dHRcJl79+5hdHQ0XCafz4fp0mw2cerUKeRyuXA6tDR1HCcSLvGV6QAwMzMDz/Mi85nkg3fd7DRdT548CcdxwnTN5XKRj7CtrKxE0qBbujYajUg5KJVKWF5extLSUmQ+kclkEAQBLly4EH6szswXXalUwuTkJFzXDeO4vLyMc+fOhXHK5XLwPA9KKWxuboYflwOAx48fY2RkJLLOiYkJOI6D8+fPd3xUMJPJ4Pr16+FvW541Gg3MzMyE67XNY+p3vt65cwdXr17FvXv30Gw2dy1fnz59irW1NcByvFSrVYyNjYXLSJz1Mh9Hjg+0y2Sz2cSDBw/g+354jEnePHnyJNyPb775Bmhve2FhAa7rhmlgSjqeTY1Go+MYvnfvHq5du4a1tTXrRwrz+TxqtRpGR0fRaDTQbDYRBAFGRkbCNMrn8/B9H0opLC0toVqtpqo3iYiIUjF7G/tFv8JpXlHTrwLb/vSreOZVyzhyRVD/M69uSnjcVT99W7ar2zJv3CMHcodB367sq2zT3Hf9Kmu3fdXjasZXrrDKX9IVzF6ugu80Xc39FLI+88oxEtLVvGJu7pvklb4tPU62fNHTUu686PPoywtbHFztyr6NmQ4SP2XJM/PP9/2Oecx91/U7X235Yu6PeJ58tdUNku6SL3FxNOnpJXcE5P/19qNuep7K/LJevax5nheWLfNuiDDTw5xPX5/bfrxL/78sL8uZ+SJ3NtBOR72sC3OZbmlERETUi4z6vhFEz6lcLgPtK9D90mw2MTY2hs3NTXPSkVGtVrG6uprqyrPI5/NYXl7uuKNDB8dO8jWNTCaDg1ql8XgmIqKjYN8fizrMCoUCqtUqms0mbt261deOBQCsra1FHvE4KkqlUthZu3z5ck8NUHkUhR2Lg+d58jWNRqMB13XN4APjqB7PRER0tLBz8RxyuRwuX768K1cjM5kMLl++jPn5+bBBdlScOnUKk5OTPV+FLhQKcBzH+n4A7b+d5msa+Xwe58+fR61Wi31nYz8d5eOZiIiOFj4WRUREREREfcE7F0RERERE1BfsXBARERERUV+wc0FERERERH3BzgUREREREfUFOxdERERERNQX7FwQEREREVFfsHNBRERERER9wc4FERERERH1BTsXRERERETUF+xcEBERERFRX7BzQUREREREfcHOBRERERER9QU7F0RERERE1BfsXBARERERUV+wc0FERERERH3BzgUREREREfUFOxdERERERNQX7FwQEREREVFfsHNBRERERER9wc4FERERERH1BTsXRERERETUF+xcEBERERFRX/w/ThEghZo5hNUAAAAASUVORK5CYII=\" width=\"746\" height=\"616\"\u003eAmong patients with CP, a majority (n\u0026thinsp;=\u0026thinsp;85, 68.5%) had no family history of CL/P, a trend also observed in CLP patients (n\u0026thinsp;=\u0026thinsp;141, 57.3%). Conversely, 54.9% of patients with CL (n\u0026thinsp;=\u0026thinsp;28) had a family history of CL/P (P\u0026thinsp;=\u0026thinsp;0.011). There was no significant association between cleft type and parental consanguinity or education level. Additionally, folic acid supplementation during the first trimester of pregnancy did not show a significant association with cleft type. However, maternal tobacco use during the first trimester and maternal age at pregnancy were associated with a higher incidence of CP, with both factors showing statistically significant differences (P\u0026thinsp;=\u0026thinsp;0.041 and P\u0026thinsp;=\u0026thinsp;0.024, respectively). No significant association was found between the cleft side or location and the associated risk factors (P\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e\n\u003cp\u003eLogistic regression model was also performed to find the independent factors for different cleft types (Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). This analysis revealed that patients who had family history of CL/P had 1.91 times higher odds for having CL. In addition, Fars ethnicity, maternal tobacco use during the first trimester of pregnancy, and mothers who were \u0026ge;\u0026thinsp;35 years were found to be having 2.88, 2.12, and 2.09 times higher odds, respectively, for having a child with CP compared to their counterparts. Furthermore, patients who were female and had no family history of CL/P were 1.56 and 1.69 times more likely to have CP, respectively. The odds of having CLP was 2.85 times higher for Baluch ethnicity.\u003c/p\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eBackward logistic regression analysis of potential risk factors for cleft types in southeastern Iran\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCleft type\u003c/p\u003e\n \u003cp\u003e(Outcome)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRisk factor\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAdjusted-OR\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e95% CI\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eP value\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFamily history of CL/P (Yes)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.06\u0026ndash;3.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.031\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"6\"\u003e\n \u003cp\u003eCP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSex (Male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.41\u0026ndash;0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.044\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEthnicity (Fars)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.60\u0026ndash;5.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEthnicity (Others)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.16\u0026ndash;3.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.784\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFamily history of CL/P (Yes)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.38\u0026ndash;0.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.027\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMaternal tobacco use (Yes)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.24\u0026ndash;3.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.006\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMaternal age at pregnancy\u003c/p\u003e\n \u003cp\u003e(\u0026ge;\u0026thinsp;35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.18\u0026ndash;3.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.011\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"5\"\u003e\n \u003cp\u003eCLP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSex (Male)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.96\u0026ndash;2.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.080\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEthnicity (Fars)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.20\u0026ndash;0.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEthnicity (Others)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.48\u0026ndash;11.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.295\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMaternal tobacco use (Yes)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.37\u0026ndash;1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.056\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMaternal age at pregnancy (\u0026ge;\u0026thinsp;35)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.34\u0026ndash;1.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e0.055\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\"\u003e*Significant results (P\u0026thinsp;\u0026le;\u0026thinsp;0.05); \u003cem\u003eOR: Odds ratio/CI: Confidence interval\u003c/em\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"5\"\u003e\u003cem\u003eCL: Cleft lip/CP: Cleft palate/CLP: Cleft lip and palate/CL/P: Cleft lip and/or cleft palate\u003c/em\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThe result indicated that CLP was the most common cleft type, followed by CP and CL. Among patients with CL\u0026thinsp;\u0026plusmn;\u0026thinsp;P, unilateral cleft (UC) was more common than bilateral cleft (BC), with the cleft most commonly located on the left side, followed by right and midline. This pattern aligns with findings in the majority of the literature. Various studies have consistently reported CLP as the most common cleft type (16, 17, 18, 19). However, this contrasts with the study by Pe\u0026ntilde;a-Soto et al., which found CP to be the most common cleft type (20). Maranh\u0026atilde;o et al. and Carrim and Hlongwa also reported UC as the most common cleft side (18, 21), whereas Jaisani et al. reported BC as more prevalent (17). Additionally, a number of studies have reported the left side as the most common location on the cleft lip (17, 18, 20, 21).\u003c/p\u003e\u003cp\u003e\u003cb\u003eSex\u003c/b\u003e\u003c/p\u003e\u003cp\u003eRegarding sex distribution, numerous studies have reported a male predominance in cleft cases (17, 19, 20, 21). However, there is controversy about the association between sex and specific cleft types. Saha et al. reported that CLP and CP occurred more frequently in males and CL predominantly occurred in females (19). Pe\u0026ntilde;a-Soto et al. also noted a higher prevalence of CL and CP in males, with the difference being statistically significant (20). This contrasts our findings, which demonstrate female dominance in CP and male dominance in CL and CLP. A similar pattern was also reported in studies by Carrim and Hlongwa (21), Pavri and Forrest (22) and Silva et al. (23).\u003c/p\u003e\u003cp\u003e\u003cb\u003eEthnicity\u003c/b\u003e\u003c/p\u003e\u003cp\u003eOur study revealed a significant association between cleft type and ethnicity. The Baluch ethnic group was predominantly represented across all cleft types, with CLP being the most common among them. In contrast, the Fars ethnic group, particularly from northern Sistan and Baluchestan (Zaboli), showed a higher prevalence of CP. The association between ethnicity and cleft type has been reported in various studies (21, 24). As this is the first epidemiological study of cleft patients in southeastern Iran, these findings provide a basis for future comparative studies and may help capture ethnic patterns in cleft occurrences in the region. In this study, the Baluch ethnic group was 83.8% of the population. This sample accurately reflects the regional demographics. Southeastern Iran is primarily populated by Baluch people, who make up a significant portion of the Sistan and Baluchestan province (25).\u003c/p\u003e\u003cp\u003e\u003cb\u003eFamily history\u003c/b\u003e\u003c/p\u003e\u003cp\u003eOur study identified a statistically significant association between cleft type and family history. Specifically, patients with CL were more likely to have a family history of CL/P, whereas the majority of patients with CLP and CP did not have such a family history. The absence of a family history was notably more prevalent in patients with CP compared to the other types. This finding aligns with the literature, which generally reports a lack of family history in most cleft cases. However, the prevalence of a family history in our study (42%) was higher than that reported by Maranh\u0026atilde;o et al. (28%) and Silva et al. (31%) (18, 26). Regarding the cleft type, Silva et al. and Falagan-Lotsch et al. observed that family history of clefts was more common among patients with CLP compared to the other types, while most patients of all three cleft types had no family history of CL/P (26, 27).\u003c/p\u003e\u003cp\u003eIn the current study, an OR of 1.91 means that individuals with a family history of CL/P were 1.91 times more likely to have a child with CL compared to those without a family history. This suggests that individuals with a family history of CL/P should be prioritized for genetic counseling. This counseling can help them understand the risk to future children and make informed decisions about family planning. In addition, identifying families with a family history of CL/P allows for the implementation of targeted interventions, such as nutritional support (folic acid supplementation) and monitoring for other potential risk factors during pregnancy.\u003c/p\u003e\u003cp\u003e\u003cb\u003eConsanguinity\u003c/b\u003e\u003c/p\u003e\u003cp\u003eIn our study, 69.4% of parents had consanguineous marriage, but no statistically significant association was found between cleft type and consanguinity. This prevalence is higher than the 58.9% and 61% reported by Farshidfar et al. and Saha et al., respectively (16, 19). Conversely, a case-control study by Jabaiti et al. found a significant association between consanguineous marriages and the incidence of clefts, indicating that such marriages doubled the incidence of clefts regardless of type (28).\u003c/p\u003e\u003cp\u003eThe underlying cause may be related to the fact that consanguineous marriages increase the likelihood that both parents carry the same recessive genes. Certain genes, when inherited in a recessive pattern, can predispose individuals to oral clefts (29). Recognizing the link between consanguinity and non-syndromic oral clefts is crucial for implementing preventative strategies, such as community awareness programs.\u003c/p\u003e\u003cp\u003e\u003cb\u003eEducation level\u003c/b\u003e\u003c/p\u003e\u003cp\u003e Our findings also suggest that most cleft patients had parents with low education levels, while various studies have indicated a link between low socioeconomic status and a higher occurrence of clefts (16, 19). Although we did not found a significant association between cleft type and parental education level, Vu et al. reported that this association was statistically significant, where different socioeconomic statuses were associated with varying cleft phenotypes (30).\u003c/p\u003e\u003cp\u003eThe underlying cause may be related to that poverty and education level of parents can influence access to prenatal care and health education. Moreover, nutrition and lifestyle choices such as smoking are significantly under the influence of these factors. Therefore, poverty and education level can potentially affect other risk factors exposure (31).\u003c/p\u003e\u003cp\u003e\u003cb\u003eFolic acid\u003c/b\u003e\u003c/p\u003e\u003cp\u003eFolic acid deficiency has been reported to be associated with a higher incidence of orofacial clefts. We found no significant association between lack of folic acid supplementation and the occurrence of specific cleft types. However, Xu et al. reported an association between lack of folic acid supplementation and the occurrence of CLP and CL (32). Furthermore, Vu et al. found an association between early prenatal care and the occurrence of different types of clefts and reported that vitamin and micronutrient supplementation protected against the development of CL\u0026thinsp;\u0026plusmn;\u0026thinsp;P while having no effect on CP (30). Maranh\u0026atilde;o et al. also reported the same pattern and demonstrated that folic acid had a stronger protective effect on CL\u0026thinsp;\u0026plusmn;\u0026thinsp;P compared to CP (18). Compared to other studies, the lack of folic acid supplementation was higher in our study 22.6% (n\u0026thinsp;=\u0026thinsp;95). Simultaneously, due to the inadequate intake of micronutrients and vitamins from the daily diet, which reflects the food insecurity and poverty in southeastern Iran, the lack of folic acid supplementation may have a crucial role in the development of orofacial clefts in this region of Iran. The most common reason given for lack of supplementation was unawareness of the pregnancy. Low socioeconomic status and thus having less access to the health system were other local barriers to folic acid supplementation.\u003c/p\u003e\u003cp\u003eIn the study conducted by Kebaabetswe et al., the primary barriers to folic acid supplementation among pregnant women included the unavailability of supplements at clinics, poverty, and adherence issues. It was recommended to enhance the accessibility of supplementation at antenatal clinics and to improve education efforts regarding supplementation, incorporating information about the advantages of folic acid and other micronutrients (33). There is a need for implementation research to evaluate these interventions, with the ultimate goal of improving maternal and infant outcomes in the southeastern Iranian population.\u003c/p\u003e\u003cp\u003e\u003cb\u003eTobacco\u003c/b\u003e\u003c/p\u003e\u003cp\u003eRegarding maternal tobacco use in the first trimester of pregnancy, we found a statistically significant association with cleft type. Specifically, CP was more common among tobacco users. Vu et al. also reported that maternal tobacco use before pregnancy increased the incidence of CP by more than twofold (30). In the current study, a 2.12 OR for tobacco use in predicting CP means that mothers who used tobacco were 2.12 times more likely to have a child with CP compared to mothers who did not use tobacco. A meta-analysis showed that maternal smoking during pregnancy significantly increased the risk of CP (OR\u0026thinsp;=\u0026thinsp;1.50) (34). It highlights tobacco use as a modifiable risk factor for CP, making it a target for prevention efforts.\u003c/p\u003e\u003cp\u003eIn our study 19.2% (n\u0026thinsp;=\u0026thinsp;81) of participants had mothers who used tobacco in the first trimester, which is significant compared to the other studies. Many mothers indicated that they were unaware of their pregnancy at the time of tobacco use and did not abstain as a result. Additionally, some mothers reported that tobacco use reduced the signs and symptoms of pregnancy sickness and therefore continued to use it. This arises from mothers\u0026rsquo; lack of knowledge about the side effects of tobacco on their fetus. This highlights the need for improved education on the risks of tobacco use during pregnancy. Notably, maternal tobacco use has been significantly associated with the development of all orofacial clefts (35). A systematic review by Elseifi et al. discussed several strategies, including financial incentives such as gift cards or vouchers, behavioral counseling, and long-term nicotine replacement therapy (NRT) for smoking cessation in pregnant women (36). Nicotine replacement therapy is generally considered safe during pregnancy, particularly when compared to the risks of continued smoking (37). These interventions, particularly when tailored to address socioeconomic barriers, can improve smoking cessation rates and related health outcomes for both mother and child.\u003c/p\u003e\u003cp\u003e\u003cb\u003eMaternal age\u003c/b\u003e\u003c/p\u003e\u003cp\u003eOur study found a significantly higher incidence of CP among mothers aged 35 years or older. This is consistent with Pethő et al., who reported that all cleft types, particularly CP, are significantly associated with advanced maternal age (38). Conversely, \u0026Aacute;cs et al. did not find a significant association between maternal age and cleft occurrence (39). Bille et al. also found significant associations between advanced maternal and paternal age with CL\u0026thinsp;\u0026plusmn;\u0026thinsp;P. In their study, only advanced paternal age had a significant association with CP (40). In the current study, a 2.09 OR for maternal age in predicting CP indicates that mothers aged 35 years or older are roughly twice as likely to have a child with CP compared to mothers younger than 35 years old. This increased risk can be used to identify women who may benefit from enhanced prenatal care and monitoring, including more frequent ultrasounds to detect CP early and genetic counseling to assess the risk of recurrence in future pregnancies. The increased risk associated with older mothers is often linked to the higher prevalence of chromosomal abnormalities in pregnancies of older women, which can be a factor in some cases of oral clefts (41).\u003c/p\u003e\u003cp\u003eIt's important to note that oral clefts are generally considered to have a multifactorial etiology, meaning they are caused by a combination of genetic and environmental factors (10). This research fills a notable gap in the epidemiological understanding of CL/P in southeastern Iran, a region with distinct socioeconomic and cultural conditions. Moreover, the study included a substantial sample size (421 patients) from a specialized center, ensuring the representativeness and reliability of the findings. The use of structured data collection through examinations and interviews increases the accuracy of the data.\u003c/p\u003e\u003cp\u003eThe core limitation of cross-sectional studies is their inability to establish a causal inference between exposure and outcome. However, they are valuable tools in various fields, especially for public health planning, initial investigations, and understanding population characteristics. In the current study, maternal tobacco use and folic acid supplementation during the first trimester of pregnancy were self-reported, which may introduce recall bias or misclassification. This could affect the validity of these findings. In addition, other potential confounders including socioeconomic status and maternal health conditions were not accounted for and this could have influenced the results. Based on the meta-analysis conducted by \u0026Aacute;cs et al, maternal BMI (Body mass index), hypertension, and type 1 diabetes are other important maternal factors that increase the risk of oral clefts (34).\u003c/p\u003e\u003cp\u003eIn conclusion, our study identified several factors associated with the occurrence of cleft types: sex, ethnicity, maternal tobacco use during the first trimester, and maternal age were significantly associated with CP, while a family history of CL/P was associated with the incidence of CL. These findings highlight the need for enhanced prenatal care for pregnant women in southeastern Iran to reduce the occurrence of oral clefts. Additionally, parents should be informed about the importance of timely and effective management for children with clefts.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eCONFLICT OF INTEREST STATEMENT\u003c/h2\u003e\u003cp\u003eThere are no competing interests disclosed by the authors.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003ch2\u003eFUNDING\u003c/h2\u003e\u003cp\u003eNo financial support for this study.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003ch2\u003eCONFLICT OF INTEREST STATEMENT\u003c/h2\u003e\u003cp\u003eThere are no competing interests disclosed by the authors.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFUNDING\u003c/h2\u003e\u003cp\u003eNo financial support for this study.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eA.H.K. contributed to conception and design of study, acquisition of data, drafting of article and critical revision. F.K. contributed to acquisition of data and final approval of manuscript. A.P. contributed to analysis of data. S.H.contributed to drafting of article and critical revision. F.R. contributed to drafting of article and critical revision. N.N. contributed to drafting of article and critical revision, and final approval of manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eA particular gratitude is extended to the nursing staff at the Zahedan Cleft Center.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eResearch data can be provided upon request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eSalari N, Darvishi N, Heydari M, Bokaee S, Darvishi F, Mohammadi M. Global prevalence of cleft palate, cleft lip and cleft palate and lip: A comprehensive systematic review and meta-analysis. J Stomatol Oral Maxillofac Surg. 2022;123(2):110-20.\u003c/li\u003e\n\u003cli\u003eAskarian S, Gholami M, Khalili-Tanha G, Tehrani NC, Joudi M, Khazaei M, et al. 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Rev Paul Pediatr. 2023;42:e2022234.\u003c/li\u003e\n\u003cli\u003eParker SE, Mai CT, Canfield MA, Rickard R, Wang Y, Meyer RE, et al. Updated National Birth Prevalence estimates for selected birth defects in the United States, 2004-2006. Birth Defects Res A Clin Mol Teratol. 2010;88(12):1008-16.\u003c/li\u003e\n\u003cli\u003eMohebbi M, Mohebbi Z. Demography of Race and Ethnicity in Iran. In: S\u0026aacute;enz R, Embrick DG, Rodr\u0026iacute;guez NP, editors. The International Handbook of the Demography of Race and Ethnicity. Dordrecht: Springer Netherlands; 2015. p. 353-66.\u003c/li\u003e\n\u003cli\u003eSilva CM, Pereira MCM, Queiroz TB, Neves LTD. Family history in non-syndromic orofacial clefts: Is there a pattern? Oral Dis. 2022;28(8):2194-203.\u003c/li\u003e\n\u003cli\u003eFalagan-Lotsch P, Lopes TS, K\u0026uuml;chler EC, Tannure PN, Costa Mde C, Amorim LM, et al. The functional EGF+61 polymorphism and nonsyndromic oral clefts susceptibility in a Brazilian population. J Appl Oral Sci. 2015;23(4):390-6.\u003c/li\u003e\n\u003cli\u003eJabaiti S, Salah B, Al-Lawama M, AlRyalat SA, Jabaiti O, Al-Mikhi B, et al. Impact of Parental Consanguinity on the Frequency of Orofacial Clefts in Jordan. J Craniofac Surg. 2022;33(2):e203-e6.\u003c/li\u003e\n\u003cli\u003eRochmah YS, Harumsari S, Christiono S, Hutami IR, Fatimah-Muis S, Faradz SMH. Analysis of Consanguinity as Risk Factor of Nonsyndromic Cleft Lips with or without Palate. Eur J Dent. 2024;18(2):598-603.\u003c/li\u003e\n\u003cli\u003eVu GH, Warden C, Zimmerman CE, Kalmar CL, Humphries LS, McDonald-McGinn DM, et al. Poverty and Risk of Cleft Lip and Palate: An Analysis of United States Birth Data. Plast Reconstr Surg. 2022;149(1):169-82.\u003c/li\u003e\n\u003cli\u003eInchingolo AM, Fatone MC, Malcangi G, Avantario P, Piras F, Patano A, et al. Modifiable Risk Factors of Non-Syndromic Orofacial Clefts: A Systematic Review. 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BMC Med. 2022;20(1):4.\u003c/li\u003e\n\u003cli\u003eElseifi OS, Younis FE, Mirza IM, Alhewiti A, Abd-Elhady NMS, Mortada EM. Breaking the Habit: A Systematic Review and Meta-Analysis of Pregnancy-Related Smoking Cessation Randomized Controlled Trials. Healthcare (Basel). 2025;13(7).\u003c/li\u003e\n\u003cli\u003eMorales-Su\u0026aacute;rez-Varela M, Puig BM, Kaerlev L, Peraita-Costa I, Perales-Mar\u0026iacute;n A. Safety of Nicotine Replacement Therapy during Pregnancy: A Narrative Review. Int J Environ Res Public Health. 2022;20(1).\u003c/li\u003e\n\u003cli\u003ePethő B, V\u0026aacute;ncsa S, V\u0026aacute;radi A, Ag\u0026oacute;cs G, M\u0026aacute;trai \u0026Aacute;, Z\u0026aacute;szkaliczky-Iker F, et al. Very young and advanced maternal age strongly elevates the occurrence of nonchromosomal congenital anomalies: a systematic review and meta-analysis of population-based studies. Am J Obstet Gynecol. 2024.\u003c/li\u003e\n\u003cli\u003e\u0026Aacute;cs L, Nemes B, Nagy K, \u0026Aacute;cs M, B\u0026aacute;nhidy F, R\u0026oacute;zsa N. Maternal factors in the origin of cleft lip/cleft palate: A population-based case-control study. Orthod Craniofac Res. 2024;27 Suppl 1:6-13.\u003c/li\u003e\n\u003cli\u003eBille C, Skytthe A, Vach W, Knudsen LB, Andersen AM, Murray JC, et al. Parent\u0026apos;s age and the risk of oral clefts. Epidemiology. 2005;16(3):311-6.\u003c/li\u003e\n\u003cli\u003eFrick AP. Advanced maternal age and adverse pregnancy outcomes. Best Pract Res Clin Obstet Gynaecol. 2021;70:92-100.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Epidemiology, Cleft Lip, Cleft Palate, Risk Factors, Congenital Abnormalities","lastPublishedDoi":"10.21203/rs.3.rs-5894135/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5894135/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e: To the best of our knowledge, no previous study has reported the epidemiological profile of Cleft lip and/or cleft palate (CL/P) among southeastern Iranian population. Therefore, we aimed to study these patients and explored the interplay of associated risk factors with different cleft phenotypes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e: A cross-sectional descriptive-analytical study was conducted on individuals with non-syndromic CL/P admitted to Zahedan Cleft Center from 2020 to 2024. The data were gathered through examination and face-to-face interviewing parents. Data were analyzed using chi-square and Fisher’s exact tests. A multiple logistic regression model with backward elimination method was also performed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e: 421 individuals were included in the study. Cleft lip and palate (CLP) was the most common type (n=246, 58.4%), followed by cleft palate (CP) (n=124, 29.5%) and cleft lip (CL) (n=51, 12.1%). Unilateral and left-sided clefts were more prevalent. Female gender (P=0.049), Fars ethnicity (P=0.002), maternal tobacco use during the first trimester (P=0.041), and maternal age of ≥ 35 years at pregnancy (P=0.024) were significantly associated with the occurrence of CP. Additionally, the incidence of CL was associated with a family history of CL/P (P=0.011). Logistic regression model revealed that mothers who used tobacco during the first trimester of pregnancy and those who were ≥ 35 years were found to be having 2.12 and 2.09 times higher odds, respectively, for having a child with CP.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e: Pregnant women in southeastern Iran require enhanced prenatal care to reduce the incidence of oral clefts.\u003c/p\u003e","manuscriptTitle":"Tobacco Consumption and Maternal Age as Potential Risk Factors for Non-Syndromic Cleft Palate: A Cross-Sectional Study in Southeastern Iran","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-25 05:44:58","doi":"10.21203/rs.3.rs-5894135/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"4e1fb0db-32cc-4b88-b02c-28287fb609a8","owner":[],"postedDate":"August 25th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-02-03T11:15:51+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-25 05:44:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5894135","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5894135","identity":"rs-5894135","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}