{"paper_id":"2b8e26c7-dc03-43a8-95b4-249c5e8b32bf","body_text":"N-CAM expression: The study of muscle disease in a tertiary center of Thailand | 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 N-CAM expression: The study of muscle disease in a tertiary center of Thailand Kanyarat Laoyoung, Jariya Waisayarat This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-27058/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 The neural cell adhesion molecule (N-CAM), also called CD56, is a cell-surface glycoprotein that mediates intercellular adhesive interactions in the nervous system. N-CAM is expressed in neuromuscular endplates, nerves, satellite cells, and embryonic muscle, but it is lost as development proceeds and is nearly absent from adult muscle. N-CAM re-expression was detected in a denervated, regenerating and degenerated muscle fibres. Muscle disease or myopathy is diagnosed based on the presence of denervated, regenerating and degenerated fibres on muscle biopsy combined with clinical information. Some regenerating fibres looked like normal fibre and were challenging to identify but showed positive N-CAM staining. Objectives To explore the expression of N-CAM in muscle disease. Methods N-CAM expression and interpretation were performed in a 3-year retrospective study of 75 muscle biopsies diagnosed with myopathies. The pathological findings and clinical information were also thoroughly reviewed. Results Of 75 myopathy patients, 41 (55%) cases were female, and 34 (45%) cases were male. The mean age was 35 years. The range of age was 3 months to 83 years. The expression of N-CAM and clinical information, including pathological findings, were analyzed using Fisher’s exact versus chi-square tests. N-CAM expression data was performed in 75 samples, 35 (46.67%) were positive for N-CAM, and 40 (53.33%) were negative for N-CAM. The diagnosis of the muscle disease was nonspecific myopathy with 35 (46%) cases, inflammatory myopathy with 17 (23%) cases, neurogenic myopathy with 9 (12%) cases, muscular dystrophy with 7 (9%) cases, non-diagnostic myopathy with 5 (7%) cases, and mitochondrial myopathy with 2 (3%) cases. The inflammatory myopathy showed positive N-CAM in 15 out of 17 cases with statistical significance (p-value < 0.001, ORs (95% CI) 14.250 (2.960-68.606)). N-CAM was also positive in muscular dystrophy, neurogenic myopathy, and nonspecific myopathy but was not statistically significant in p-value. No positive N-CAM was found in mitochondrial myopathy and non-diagnostic myopathy. Conclusion N-CAM expression accompanied by the pattern of staining could be considered to help narrow down the differential diagnosis of myopathies. We recommend further study in a larger group. Pathology neural cell adhesion molecule CD56 muscle disease Figures Figure 1 Figure 2 Figure 3 Figure 4 1. Introduction Muscle disease or myopathy is a neuromuscular disorder in which the primary symptom is muscle weakness due to dysfunction of muscle fibre. The condition can be acquired, familial, and congenital disorders of skeletal muscle. Common muscle diseases include muscular dystrophy, congenital myopathy, mitochondrial myopathy, inflammatory myopathy, and neurogenic myopathy[ 1 ]. Diagnosis of muscle disease requires all modalities; clinical examination, serologic markers, electrodiagnostic test, pathologic findings from the muscle biopsy specimen, and molecular genetic study to make a final diagnosis[ 2 , 3 ]. Muscle biopsy is a useful tool for the diagnostic evaluation of muscle disease. Still, the pathological findings can vary from subtle myopathic changes to normal[ 2 , 3 ]. Immunohistochemistry (IHC) is an ancillary tool in muscle diseases diagnosis[ 2 , 3 , 4 ]. The neural cell adhesion molecule (N-CAM), also called CD56, is a cell-surface glycoprotein that was discovered in the embryonic brain and which mediates intercellular adhesive interactions in the nervous system. It is also expressed in neuromuscular endplates, nerves, satellite cells, and embryonic muscle fibres to regulate nerve-muscle interaction[ 5 , 6 , 7 , 8 , 9 ]. N-CAM is expressed in some phases of fetal myogenesis, but is lost as development proceeds and is nearly absent from adult muscle[ 10 ]. N-CAM is expressed in satellite cells to activate and proliferate muscle fibre. It is believed that N-CAM is associated with the recruitment of stem cells after muscle injury and regeneration of muscle fibre[ 5 , 7 , 11 , 12 , 13 ]. After muscle fibre denervation or injury, it is re-expressed again in degenerated and regenerating fibres[ 5 , 7 , 11 , 12 , 13 ]. Many previous studies found that N-CAM is also presented in degenerated fibres of myopathy[ 14 ] and showed a possible association between these fibres in mitochondrial myopathies, inflammatory myopathies, and muscular dystrophies[ 14 , 15 , 16 ]. This study aims to explore the expression, including staining severity of N-CAM in common muscle diseases as a complement for diagnostic evaluation. 2. Materials And Methods 2.1 Muscle specimens A retrospective study was performed on all muscle biopsy specimens from 2017–2019 in Ramathibodi Hospital. They included 75 clinical myopathy cases who had a muscle biopsy. The diagnosis criteria were based on both clinical correlation and histologic findings. Clinical features and patient characteristics including age, sex, serum creatine phosphokinase level, and specimen site were obtained from the patient’s medical record. 2.2 Histologic evaluation Muscles from biceps brachii or quadriceps femoris in each case were collected as 2 cm-long specimens. The specimens were divided into three parts. The first part was prepared fresh for the snap-frozen section technique. The second part was performed in 10% neutral buffered formalin fixation. The third part was fixed in 3% glutaraldehyde for electron microscopic study. The series of routine histochemistry stains included haematoxylin and eosin (H&E), enzymatic histochemistry, and immunohistochemistry. The muscle biopsies were evaluated and correlated with clinical information to diagnosis. (Fig. 1 ) In our study, we used only biopsied muscle from snap frozen section to explore the N-CAM expression. The diagnosis of muscle diseases from clinical and histopathology findings was categorized as inflammatory myopathy, neurogenic myopathy, muscular dystrophy, mitochondrial myopathy, nonspecific myopathy and non-diagnostic specimen. 2.3 Immunohistochemical study The muscle biopsy specimens were snap-frozen in isopentane and liquid nitrogen. Fresh muscle specimens were rapidly frozen in isopentane (− 150 °C) and cooled in liquid nitrogen (− 80 °C). Cryostat sections (10 µm) were cut and dried on glass slides at room temperature. No fixation or pretreatment was performed before the IHC analysis. Samples were incubated for 40 min with primary antibodies diluted in Bond Primary Antibody Diluent (Leica). Visualization with DAB and subsequent counterstaining with Mayer’s haematoxylin were performed using the Bond Polymer Refine Detection System (Leica). Sections were then dehydrated, cleared, and mounted. The anti-CD56 (MRQ-42) rabbit monoclonal primary antibody (1:200, Cell Marque, MilliporeSigma, Rocklin, CA, USA) was optimized for use as a fully automated IHC assay on the BenchMark ULTRA (Ventana Medical Systems Inc., Tucson, AZ). Briefly, the primary antibody was applied for 1 hour at 36 °C; amplification was done for 12 minutes amplifier/12 minutes multimer (OptiView Amplification Kit (Ventana Medical Systems Inc.), and counterstained for 16 minutes with hematoxylin II and post-counterstained with bluing reagent for 4 minutes. Palatine tonsil tissues were used as the internal control. 2.4 Interpretation The N-CAM positivity was shown by membrane staining in regenerating fibres. Generally regenerating fibres were easily identified by enlarged nuclei with a bluish stain sarcoplasm on H&E staining, as shown in Fig. 2 A. The bluish stain is due to the increased concentration of RNA within the cell[ 2 ]. Some regenerating fibres looked like normal fibre and were challenging to identify but showed positive N-CAM staining. The N-CAM immunohistochemical results were divided into three groups. The strongly positive had intensely diffuse membrane staining, as shown in Fig. 2 B. The weakly positive fibres had faint membrane staining, as shown in Fig. 2 C. The negatively stained fibres show a complete loss of membrane staining, as shown in Fig. 2 D. 2.5 Statistical analysis The relationship between N-CAM expression and common muscle diseases were evaluated using Fisher’s exact versus chi-square tests. Odds ratios (ORs) were estimated in myopathies which correlated with N-CAM expression. The p-values less than 0.05 were considered statistically significant and ORs more than 1.0 indicated an increased risk among the compared muscle diseases, whereas ORs less than 1.0 indicated a decrease in risk in each muscle disease. All data were analyzed by using SPSS (version 25.0.0.0). 3. Results 3.1 Patient characteristic Of 75 patients, 41 (55%) cases were female, and 34 (45%) cases were male. The mean age was 35 years. The specimens were collected from quadriceps femoris in 59 (78.67%) cases and collected from biceps brachii in 16 (21.33%) cases. (Fig. 3 ). 3.2 Common muscle diseases The most common diagnosis was nonspecific myopathy with 35 (46%) cases, and the second most common diagnosis was inflammatory myopathy with 17 (23%) cases. There were 9 (12%) neurogenic myopathy cases, 7 (9%) muscular dystrophy cases, 5 (7%) non-diagnostic myopathy cases, and 2 (3%) cases of mitochondrial myopathy. (Fig. 4 ) 3.3 Correlation between muscle diseases and N-CAM expression The result of N-CAM expression showed positive staining in 35 cases and negative staining in 40 cases. The inflammatory myopathy showed positive N-CAM in 15 out of 17 cases with statistical significance (p-value < 0.001, ORs (95% CI) 14.250 (2.960-68.606)). N-CAM was also positive in muscular dystrophy, neurogenic myopathy, and nonspecific myopathy but was not statistically significant in p-value. No positive N-CAM was found in mitochondrial myopathy and non-diagnostic myopathy. (Tables 1 and 2 ) Table 1 Categorization of muscle disease and its correlation with N-CAM expression N-CAM expression Categorization of muscle diseases (n = 75) Muscular dystrophy n. (%) Neurogenic myopathy n. (%) Inflammatory myopathy n. (%) Mitochondrial myopathy n. (%) Nonspecific myopathy n. (%) Non-diagnostic specimen n. (% ) Positive Negative 6 (85.71%) 1 (14.29%) 4 (44.44%) 5 (55.56%) 15 (88.24%) 2 (11.76%) 0 (0.00%) 2 (100.00%) 10 (28.57%) 25 71.43%) 0 (0.00%) 5 (100.00%) Table 2 Categorization of muscle disease and N-CAM expression N-CAM expression Categorization of muscle disease (n = 35) Muscular dystrophy Neurogenic myopathy Inflammatory myopathy Mitochondrial myopathy Nonspecific myopathy Non- diagnostic specimen Present p-value ORs (95% CI) 6 (85.71%) 0.030 8.069 (0.920 − 0.732) 4 (44.44%) 0.887 0.903 (0.223–3.666) 15 (88.24%) < 0.001 14.250 (2.960-68.606) - - - 10 (28.57%) 0.003 0.240 (0.091–0.635) - - - We also correlated the positive group with the presence of regenerating fibres in histology. All positive N-CAM cases showed regenerating fibres in the muscle biopsy on the haematoxylin and eosin-stained slides review. The strongly positive N-CAM mostly appeared in inflammatory myopathy and muscular dystrophy. While the weakly positive N-CAM appeared in neurogenic myopathy and nonspecific myopathy. (Table 3 ) Table 3 Categorization of muscle disease and characteristics of N-CAM expression Characteristics of N-CAM expression Categorization of muscle disease (n = 35) Muscular dystrophy n. (%) Neurogenic myopathy n. (%) Inflammatory myopathy n. (%) Mitochondrial myopathy n. (%) Nonspecific myopathy n. (%) Non-diagnostic specimen n. (%) Stained grade Low High Degenerated fibres Absent Present 1 (16.67%) 5 (83.33%) 0 (0.00%) 6 (100.00%) 4 (100.00%) 0 (0.00%) 0 (0.00%) 4 (100.00%) 4 (26.67%) 11 (73.33%) 0 (0.00%) 15 (100.00%) - - - - 8 (80.00%) 2 (20.00%) 0 (0.00%) 10 (100.00%) - - - - 4. Discussion In this study, we showed that inflammatory myopathy was the only muscle disease that had a strong association with positive immunohistochemistry for N-CAM in muscle fibres (15/17 cases, 43%, p-value < 0.01) with an odds ratio of 14.250 (95% CI = 2.960-68.606), because pathogenesis in inflammatory myopathy is either antibody/immune complex mediated or cytotoxic T-cell mediated, which results in necrosis and regeneration of muscle fibres[ 7 ]. Regenerating fibre which appears as a morphologically normal fibre on haematoxylin and eosin stain and other histochemistry can be highlighted by immunohistochemistry against N-CAM. We also found that only inflammatory myopathy and muscular dystrophy groups had strong-intensity immunohistochemistry against N-CAM (73% and 83%, respectively). This pattern of staining could be found in regenerating fibres of muscular dystrophy, even though the overall percentage of positive N-CAM in muscular dystrophy was insignificant (6/7 cases, 17%, p-value = 0.03). In the mitochondrial myopathy group, our study only had 2 cases, and all cases showed negative immunohistochemistry for N-CAM. These results are limited for evaluation due to the small sample size of the specimen. The small sample size and unknown underlying pathomechanism may be the reason for the discrepancy with the previous studies. A literature review revealed the case series of positive N-CAM in regenerating muscle fibre and fetal muscle fibre and negative N-CAM in normal adult muscle fibre[ 13 ], and the case series of positive N-CAM in inflammatory myopathy, neurogenic myopathy and muscular dystrophy[ 15 , 16 ]. Nevertheless, Heuss D et al. found N-CAM positive cases in mitochondrial myopathy[ 14 ], while we found negative expression in both two mitochondrial myopathies in our study. The different results could be due to the small number of cases. (Table 4 ) N-CAM positive fibre has been included as one of the suggestive muscle biopsy findings for dermatomyositis according to the 239th European Neuromuscular Centre (ENMC) international workshop classification in 2018[ 17 ]. (Table 5) Table 4 Literature reviews of N-CAM expression compared to our study Authors Study design Positive N-CAM Negative N-CAM Mechtersheimer G. et al, 1992 [ 13 ] Case series (fresh tissue from biobank) - Fetal muscle fibres - Regenerating muscle fibres - Satellite cells - Adult muscle fibres Heuss D. et al, 1995 [ 14 ] Case series in mitochondrial myopathies - All mitochondrial myopathies cases (n = 14) (with ragged-red fibres) - Control (n = 8) Winter A. et al, 1999 [ 15 ] Case series - Muscular dystrophy: 30.1 ± 6.8% of fibres (n = 14) - Inflammatory myopathy: 20.8 ± 6.3% of fibres (n = 29) - Neurogenic myopathy: 11.9 ± 11.6% of fibres (n = 39) - Control < 1% (n = 4) Casciola-Rosen L. et al, 2005 [ 16 ] Case series in inflammatory myopathy - Dermatomyositis: 35.5 ± 10.1 fibres/400x (n = 11) - Polymyositis: 26.9 ± 6.9 fibres/400x (n = 11) - Control 5.2 ± 1.1 fibres/400x (n = 5) Our study, 2020 Retrospective in 75 muscle biopsy specimens - Inflammatory myopathy (n = 15; 88.24%) - Muscular dystrophy (n = 6; 85.71%) - Neurogenic myopathy (n = 4; 44.44%) - Nonspecific myopathy (n = 10; 28.57%) - mitochondrial myopathy (n = 2) - non-diagnostic specimen (n = 5) Table 5 The ENMC 2018 dermatomyositis classification criteria[ 17 ]. 5. Conclusion In conclusion, inflammatory myopathy showed a statistically significant correlation with positive N-CAM expression. The strongly positive N-CAM was found in inflammatory myopathy and muscular dystrophy. The weakly positive N-CAM was found in neurogenic myopathy and nonspecific myopathy. No case of mitochondrial myopathy or non-diagnostic myopathy reveal N-CAM expression. All positive N-CAM cases had regenerating muscle fibres on muscle biopsy on thorough review with haematoxylin and eosin-stained slides. N-CAM expression accompanied by the pattern of staining could be considered to help narrow down the differential diagnosis of myopathies. We recommend further study in a larger group. Abbreviations N-CAM Neural cell adhesion molecule IHC immunohistochemistry H&E haematoxylin and eosin ORs Odds ratios ENMC European Neuromuscular Centre DM Dermatomyositis Declarations Ethics approval and consent to participate The protocol for this study was approved by the Ethical Clearance Committee on Human Rights Related to Research Involving Human Subjects of the Faculty of Medicine Ramathibodi Hospital, Mahidol University (MURA) (COA no. 2019/721). All procedures performed in this study that involved human participants were in accordance with the ethical standards of the institutional and/or national research committee, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standard. Written informed consent was obtained from all individual participants included in this study. Consent for publication Not applicable Availability of data and materials All data are presented in this paper, and there are no additional supporting files. The haematoxylin and eosin-stained and immunohistochemical slides are stored at the Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University. Competing interests Not applicable Funding This study was funded by a Ramathibodi Research Grant from the Faculty of Medicine Ramathibodi Hospital, Mahidol University (grant no. RF63002) Authors’ contributions Affiliations Department of Pathology, Faculty of Medicine Ramathibodi Hospital Mahidol University, Bangkok, Thailand: Kanyarat Laoyoung, [email protected] and Jariya Waisayarat, [email protected] Contributions The authors made substantial contributions to the conception, design of the work, the acquisition, analysis, interpretation of data, drafted the work or substantively revised it, and approved the submitted version. Corresponding author Correspondence to Jariya Waisayarat. Email: [email protected] Acknowledgments The authors gratefully acknowledge Mr. Nattawut Unwanatham for statistical analysis. Ms. Natha Thubthong, Mr. Narongsak Mongkonsiri, Ms. Sasithorn Foyhirun, and Ms. Suda Sanpapant of the Department of Pathology are gratitude for their slide preparation. We wish to thank Dr. Phumin Wongsuwan (Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand) in organizing the references. We acknowledge Mr. Phu Waisayarat, a medical student of the Faculty of Medicine, King Mongkut’s Institute of Technology Ladkrabang, for providing English proofreading services. References National Institute of Neurological Disorders and Stroke. Myopathy Information Page | National Institute of Neurological Disorders and Stroke [Internet]. Available from: https://www.ninds.nih.gov/Disorders/All-Disorders/Myopathy-Information-Page [accessed 2020 May 10]. Joyce NC, Oskarsson B, Jin LW. Muscle biopsy evaluation in neuromuscular disorders. Phys Med Rehabil Clin N Am. 2012 Aug;23(3):609-31. Waisayarat J. Muscle biopsy: a useful tool and approach for diagnostic evaluation of muscle disease. Rama Med J. 2015;38(2):154-72. Vogel H, Zamecnik J. Diagnostic immunohistology of muscle diseases J. Neuropathol. Exp. Neurol. 2005 Mar;64(3):181-193. Rutishauser U. Developmental biology of a neural cell adhesion molecule. Nature. 1984 Aug;310(5978):549-54. Covault J, Sanes JR. Distribution of N-CAM in synaptic and extrasynaptic portions of developing and adult skeletal muscle. J Cell Biol. 1986 Mar;102(3):716-30. Sanes JR, Schachner M, Covault J. Expression of several adhesive macromolecules (N-CAM, L1, J1, NILE, uvomorulin, laminin, fibronectin, and a heparan sulfate proteoglycan) in embryonic, adult, and denervated adult skeletal muscle. J Cell Biol. 1986 Feb;102(2):420-31. Covault J, Sanes JR. Neural cell adhesion molecule (N-CAM) accumulates in denervated and paralyzed skeletal muscles. Proc Natl Acad Sci USA. 1985 Jul;82(13):4544-8. Rieger F, Nicolet M, Pinçon-Raymond M, Murawsky M, Levi G, Edelman GM. Distribution and role in regeneration of N-CAM in the basal laminae of muscle and Schwann cells. J Cell Biol. 1988 Aug;107(2):707-19. Fidzianska A, Kaminska A. Neural cell adhesion molecule (N-CAM) as a marker of muscle tissue alternations. Review of the literature and own observations. Folia Neuropathol. 1995;33(3):125-8. Illa I, Leon-Monzon M, Dalakas MC. Regenerating and denervated human muscle fibres and satellite cells express neural cell adhesion molecule recognized bymonoclonal antibodies to natural killer cells. Ann Neurol. 1992 Jan;31(1):46-52. Snijders T, Nederveen JP, McKay BR, Joanisse S, Verdijk LB, van Loon LJ, Parise G. Satellite cells in human skeletal muscle plasticity. Front Physiol. 2015 Oct 21;6:283. Mechtersheimer G, Staudter M, Moller P. Expression of the natural killer (NK) cell-associated antigen CD56(Leu-19), which is identical to the 140-kDa isoform of N-CAM, in neural and skeletal muscle cells and tumors derived therefrom. Ann N Y Acad Sci. 1992 Apr 15;650:311–6. Heuss D, Engelhardt A, Göbel H, Neundörfer B. Expression of NCAM in mitochondrial myopathy. Clin Neuropathol. 1995 Nov-Dec;14(6):331-6. Winter, Bornemann. NCAM, vimentin and neonatal myosin heavy chain expression in human muscle diseases. Neuropathol Appl Neurobiol. 1999 Oct;25(5):417–24. Casciola-Rosen L, Nagaraju K, Plotz P, Wang K, Levine S, Gabrielson E, Corse A, Rosen A. Enhanced autoantigen expression in regenerating muscle cells in idiopathic inflammatory myopathy. J Exp Med. 2005 Feb 21;201(4):591-601. Mammen AL, Allenbach Y, Stenzel W, Benveniste O; ENMC 239th Workshop Study Group. 239th ENMC International Workshop: Classification of dermatomyositis, Amsterdam, the Netherlands, 14-16 December 2018. Neuromuscul Disord. 2020 Jan;30(1):70-92. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-27058\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":true,\"archivedVersions\":[],\"articleType\":\"Research\",\"associatedPublications\":[],\"authors\":[{\"id\":566613,\"identity\":\"f1672b2e-7897-4199-985e-83ea981d5060\",\"order_by\":1,\"name\":\"Kanyarat Laoyoung\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Mahidol University Faculty of Medicine Ramathibodi Hospital\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Kanyarat\",\"middleName\":\"\",\"lastName\":\"Laoyoung\",\"suffix\":\"\"},{\"id\":566614,\"identity\":\"96156ee4-a868-4eef-b845-fa0121a1db25\",\"order_by\":2,\"name\":\"Jariya Waisayarat\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABCklEQVRIiWNgGAWjYBACxgYGhgNgFjPzASBPgrGBHSKTQIQWtgSIFmYw1wCnFiTAYwAygLAW5vazDw/z1DAk9rfzfN3wc4eFbD8zA+OHHwx/8nA6rCfd4DDPMYbEGYd5t93sPSNhPLOZgVmyh8GgGLdf0hgO87Ax5DYAtdzgbZNI3HCYgUEa6LDEBlxa+p8BtfxjyJ1/mOfZzb8QLcy/8WqZAbSFt40hdwPQrttQW9jw2zLjGcPBuX0S9RsPs5ndlm0D+YWxzbLHwBinFsP+NOYPb77ZGMudP/zs5tu2Otl+9ubDN35UyOHWApRg4mGQQA0SoLtwqAcCeZCSH7jlR8EoGAWjYBQwMAAABpVaFFwPol8AAAAASUVORK5CYII=\",\"orcid\":\"\",\"institution\":\"Mahidol University Faculty of Medicine Ramathibodi Hospital\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Jariya\",\"middleName\":\"\",\"lastName\":\"Waisayarat\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2020-05-03 14:33:46\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-27058/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-27058/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":1115732,\"identity\":\"039506a4-d892-4d67-80af-3fdaea66955e\",\"added_by\":\"auto\",\"created_at\":\"2020-05-17 20:17:09\",\"extension\":\"png\",\"order_by\":1,\"title\":\"Figure 1\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":104934,\"visible\":true,\"origin\":\"\",\"legend\":\"Illustrative flow chart of muscle biopsy in Ramathibodi Hospital\",\"description\":\"\",\"filename\":\"fig1.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-27058/v1/fig1.png\"},{\"id\":1115733,\"identity\":\"2b961f2d-4106-411d-ad54-18832976fd8d\",\"added_by\":\"auto\",\"created_at\":\"2020-05-17 20:17:09\",\"extension\":\"png\",\"order_by\":2,\"title\":\"Figure 2\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":725049,\"visible\":true,\"origin\":\"\",\"legend\":\"N-CAM interpretation. A, H\\u0026E shows regenerating muscle fibres. B, N-CAM was strongly expressed on the sarcolemma of all regenerating fibres. C, Scattered regenerating fibres (N-CAM weakly positive). D, No regenerating fibre (N-CAM negative).\",\"description\":\"\",\"filename\":\"fig2.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-27058/v1/fig2.png\"},{\"id\":1115734,\"identity\":\"b42aa7f6-4616-4446-b918-30200ec49669\",\"added_by\":\"auto\",\"created_at\":\"2020-05-17 20:17:09\",\"extension\":\"png\",\"order_by\":3,\"title\":\"Figure 3\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":26332,\"visible\":true,\"origin\":\"\",\"legend\":\"Demographic data of the patient, patient characteristics\",\"description\":\"\",\"filename\":\"fig3.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-27058/v1/fig3.png\"},{\"id\":1115735,\"identity\":\"f55279e4-ebe3-4958-a395-b7988af119dd\",\"added_by\":\"auto\",\"created_at\":\"2020-05-17 20:17:09\",\"extension\":\"png\",\"order_by\":4,\"title\":\"Figure 4\",\"display\":\"\",\"copyAsset\":false,\"role\":\"figure\",\"size\":78969,\"visible\":true,\"origin\":\"\",\"legend\":\"Demographic data of the patient, categorization of common muscle diseases\",\"description\":\"\",\"filename\":\"fig4.png\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-27058/v1/fig4.png\"},{\"id\":13503989,\"identity\":\"7d0fa3bc-5417-4b15-ae3a-793975b02079\",\"added_by\":\"auto\",\"created_at\":\"2021-09-16 23:21:22\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":1814164,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-27058/v1/0cc95f2d-e344-4b14-a895-c3e5ca7cc13a.pdf\"}],\"financialInterests\":\"\",\"formattedTitle\":\"N-CAM expression: The study of muscle disease in a tertiary center of Thailand\",\"fulltext\":[{\"header\":\"1. Introduction\",\"content\":\" \\u003cp\\u003eMuscle disease or myopathy is a neuromuscular disorder in which the primary symptom is muscle weakness due to dysfunction of muscle fibre. The condition can be acquired, familial, and congenital disorders of skeletal muscle. Common muscle diseases include muscular dystrophy, congenital myopathy, mitochondrial myopathy, inflammatory myopathy, and neurogenic myopathy[\\u003cspan citationid=\\\"CR1\\\" class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e]. Diagnosis of muscle disease requires all modalities; clinical examination, serologic markers, electrodiagnostic test, pathologic findings from the muscle biopsy specimen, and molecular genetic study to make a final diagnosis[\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e]. Muscle biopsy is a useful tool for the diagnostic evaluation of muscle disease. Still, the pathological findings can vary from subtle myopathic changes to normal[\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e]. Immunohistochemistry (IHC) is an ancillary tool in muscle diseases diagnosis[\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR4\\\" class=\\\"CitationRef\\\"\\u003e4\\u003c/span\\u003e]. The neural cell adhesion molecule (N-CAM), also called CD56, is a cell-surface glycoprotein that was discovered in the embryonic brain and which mediates intercellular adhesive interactions in the nervous system. It is also expressed in neuromuscular endplates, nerves, satellite cells, and embryonic muscle fibres to regulate nerve-muscle interaction[\\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR8\\\" class=\\\"CitationRef\\\"\\u003e8\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR9\\\" class=\\\"CitationRef\\\"\\u003e9\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eN-CAM is expressed in some phases of fetal myogenesis, but is lost as development proceeds and is nearly absent from adult muscle[\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e]. N-CAM is expressed in satellite cells to activate and proliferate muscle fibre. It is believed that N-CAM is associated with the recruitment of stem cells after muscle injury and regeneration of muscle fibre[\\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR12\\\" class=\\\"CitationRef\\\"\\u003e12\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e]. After muscle fibre denervation or injury, it is re-expressed again in degenerated and regenerating fibres[\\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR12\\\" class=\\\"CitationRef\\\"\\u003e12\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e]. Many previous studies found that N-CAM is also presented in degenerated fibres of myopathy[\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e] and showed a possible association between these fibres in mitochondrial myopathies, inflammatory myopathies, and muscular dystrophies[\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e].\\u003c/p\\u003e \\u003cp\\u003eThis study aims to explore the expression, including staining severity of N-CAM in common muscle diseases as a complement for diagnostic evaluation.\\u003c/p\\u003e \"},{\"header\":\"2. Materials And Methods\",\"content\":\" \\u003cdiv id=\\\"Sec3\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.1 Muscle specimens\\u003c/h2\\u003e \\u003cp\\u003eA retrospective study was performed on all muscle biopsy specimens from 2017\\u0026ndash;2019 in Ramathibodi Hospital. They included 75 clinical myopathy cases who had a muscle biopsy. The diagnosis criteria were based on both clinical correlation and histologic findings. Clinical features and patient characteristics including age, sex, serum creatine phosphokinase level, and specimen site were obtained from the patient\\u0026rsquo;s medical record.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec4\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.2 Histologic evaluation\\u003c/h2\\u003e \\u003cp\\u003eMuscles from biceps brachii or quadriceps femoris in each case were collected as 2\\u0026nbsp;cm-long specimens.\\u003c/p\\u003e \\u003cp\\u003eThe specimens were divided into three parts. The first part was prepared fresh for the snap-frozen section technique. The second part was performed in 10% neutral buffered formalin fixation. The third part was fixed in 3% glutaraldehyde for electron microscopic study.\\u003c/p\\u003e \\u003cp\\u003eThe series of routine histochemistry stains included haematoxylin and eosin (H\\u0026amp;E), enzymatic histochemistry, and immunohistochemistry. The muscle biopsies were evaluated and correlated with clinical information to diagnosis. (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e)\\u003c/p\\u003e \\u003cp\\u003eIn our study, we used only biopsied muscle from snap frozen section to explore the N-CAM expression. The diagnosis of muscle diseases from clinical and histopathology findings was categorized as inflammatory myopathy, neurogenic myopathy, muscular dystrophy, mitochondrial myopathy, nonspecific myopathy and non-diagnostic specimen.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec5\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.3 Immunohistochemical study\\u003c/h2\\u003e \\u003cp\\u003eThe muscle biopsy specimens were snap-frozen in isopentane and liquid nitrogen. Fresh muscle specimens were rapidly frozen in isopentane (\\u0026minus;\\u0026thinsp;150\\u0026nbsp;\\u0026deg;C) and cooled in liquid nitrogen (\\u0026minus;\\u0026thinsp;80\\u0026nbsp;\\u0026deg;C). Cryostat sections (10\\u0026nbsp;\\u0026micro;m) were cut and dried on glass slides at room temperature. No fixation or pretreatment was performed before the IHC analysis. Samples were incubated for 40\\u0026nbsp;min with primary antibodies diluted in Bond Primary Antibody Diluent (Leica). Visualization with DAB and subsequent counterstaining with Mayer\\u0026rsquo;s haematoxylin were performed using the Bond Polymer Refine Detection System (Leica). Sections were then dehydrated, cleared, and mounted. The anti-CD56 (MRQ-42) rabbit monoclonal primary antibody (1:200, Cell Marque, MilliporeSigma, Rocklin, CA, USA) was optimized for use as a fully automated IHC assay on the BenchMark ULTRA (Ventana Medical Systems Inc., Tucson, AZ). Briefly, the primary antibody was applied for 1 hour at 36\\u0026nbsp;\\u0026deg;C; amplification was done for 12 minutes amplifier/12 minutes multimer (OptiView Amplification Kit (Ventana Medical Systems Inc.), and counterstained for 16 minutes with hematoxylin II and post-counterstained with bluing reagent for 4 minutes. Palatine tonsil tissues were used as the internal control.\\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec6\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.4 Interpretation\\u003c/h2\\u003e \\u003cp\\u003eThe N-CAM positivity was shown by membrane staining in regenerating fibres. Generally regenerating fibres were easily identified by enlarged nuclei with a bluish stain sarcoplasm on H\\u0026amp;E staining, as shown in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eA. The bluish stain is due to the increased concentration of RNA within the cell[\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e]. Some regenerating fibres looked like normal fibre and were challenging to identify but showed positive N-CAM staining. The N-CAM immunohistochemical results were divided into three groups. The strongly positive had intensely diffuse membrane staining, as shown in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eB. The weakly positive fibres had faint membrane staining, as shown in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eC. The negatively stained fibres show a complete loss of membrane staining, as shown in Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003eD.\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec7\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e2.5 Statistical analysis\\u003c/h2\\u003e \\u003cp\\u003eThe relationship between N-CAM expression and common muscle diseases were evaluated using Fisher\\u0026rsquo;s exact versus chi-square tests. Odds ratios (ORs) were estimated in myopathies which correlated with N-CAM expression.\\u003c/p\\u003e \\u003cp\\u003eThe p-values less than 0.05 were considered statistically significant and ORs more than 1.0 indicated an increased risk among the compared muscle diseases, whereas ORs less than 1.0 indicated a decrease in risk in each muscle disease. All data were analyzed by using SPSS (version 25.0.0.0).\\u003c/p\\u003e \\u003c/div\\u003e \"},{\"header\":\"3. Results\",\"content\":\" \\u003cdiv id=\\\"Sec9\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.1 Patient characteristic\\u003c/h2\\u003e \\u003cp\\u003eOf 75 patients, 41 (55%) cases were female, and 34 (45%) cases were male. The mean age was 35\\u0026nbsp;years. The specimens were collected from quadriceps femoris in 59 (78.67%) cases and collected from biceps brachii in 16 (21.33%) cases. (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig3\\\" class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003e).\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec10\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.2 Common muscle diseases\\u003c/h2\\u003e \\u003cp\\u003eThe most common diagnosis was nonspecific myopathy with 35 (46%) cases, and the second most common diagnosis was inflammatory myopathy with 17 (23%) cases. There were 9 (12%) neurogenic myopathy cases, 7 (9%) muscular dystrophy cases, 5 (7%) non-diagnostic myopathy cases, and 2 (3%) cases of mitochondrial myopathy. (Fig.\\u0026nbsp;\\u003cspan refid=\\\"Fig4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003e)\\u003c/p\\u003e \\u003cp\\u003e \\u003c/p\\u003e \\u003c/div\\u003e \\u003cdiv id=\\\"Sec11\\\" class=\\\"Section2\\\"\\u003e \\u003ch2\\u003e3.3 Correlation between muscle diseases and N-CAM expression\\u003c/h2\\u003e \\u003cp\\u003eThe result of N-CAM expression showed positive staining in 35 cases and negative staining in 40 cases.\\u003c/p\\u003e \\u003cp\\u003eThe inflammatory myopathy showed positive N-CAM in 15 out of 17 cases with statistical significance (p-value\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001, ORs (95% CI) 14.250 (2.960-68.606)). N-CAM was also positive in muscular dystrophy, neurogenic myopathy, and nonspecific myopathy but was not statistically significant in p-value. No positive N-CAM was found in mitochondrial myopathy and non-diagnostic myopathy. (Tables\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e and \\u003cspan refid=\\\"Tab2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e)\\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab1\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 1\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eCategorization of muscle disease and its correlation with N-CAM expression\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"7\\\"\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"1\\\" rowspan=\\\"2\\\"\\u003e \\u003cp\\u003eN-CAM expression\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"6\\\" nameend=\\\"c7\\\" namest=\\\"c2\\\"\\u003e \\u003cp\\u003eCategorization of muscle diseases (n\\u0026thinsp;=\\u0026thinsp;75)\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eMuscular dystrophy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eNeurogenic myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eInflammatory myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003eMitochondrial myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eNonspecific myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eNon-diagnostic specimen\\u003c/p\\u003e \\u003cp\\u003en. (%\\u003c/p\\u003e \\u003cp\\u003e)\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003ePositive\\u003c/p\\u003e \\u003cp\\u003eNegative\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003e6 (85.71%)\\u003c/p\\u003e \\u003cp\\u003e1 (14.29%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e4 (44.44%)\\u003c/p\\u003e \\u003cp\\u003e5 (55.56%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e15 (88.24%)\\u003c/p\\u003e \\u003cp\\u003e2 (11.76%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e0 (0.00%)\\u003c/p\\u003e \\u003cp\\u003e2 (100.00%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e10 (28.57%)\\u003c/p\\u003e \\u003cp\\u003e25 71.43%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003e0 (0.00%)\\u003c/p\\u003e \\u003cp\\u003e5 (100.00%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab2\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 2\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eCategorization of muscle disease and N-CAM expression\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"7\\\"\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"1\\\" rowspan=\\\"2\\\"\\u003e \\u003cp\\u003eN-CAM expression\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"6\\\" nameend=\\\"c7\\\" namest=\\\"c2\\\"\\u003e \\u003cp\\u003eCategorization of muscle disease (n\\u0026thinsp;=\\u0026thinsp;35)\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eMuscular dystrophy\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eNeurogenic myopathy\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eInflammatory myopathy\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003eMitochondrial myopathy\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eNonspecific myopathy\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eNon- diagnostic specimen\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003ePresent\\u003c/p\\u003e \\u003cp\\u003e\\u003cem\\u003ep-value\\u003c/em\\u003e\\u003c/p\\u003e \\u003cp\\u003eORs\\u003c/p\\u003e \\u003cp\\u003e(95% CI)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003e6 (85.71%)\\u003c/p\\u003e \\u003cp\\u003e0.030\\u003c/p\\u003e \\u003cp\\u003e8.069\\u003c/p\\u003e \\u003cp\\u003e(0.920\\u0026thinsp;\\u0026minus;\\u0026thinsp;0.732)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e4 (44.44%)\\u003c/p\\u003e \\u003cp\\u003e0.887\\u003c/p\\u003e \\u003cp\\u003e0.903\\u003c/p\\u003e \\u003cp\\u003e(0.223\\u0026ndash;3.666)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e15 (88.24%)\\u003c/p\\u003e \\u003cp\\u003e\\u0026lt;\\u0026thinsp;0.001\\u003c/p\\u003e \\u003cp\\u003e14.250\\u003c/p\\u003e \\u003cp\\u003e(2.960-68.606)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e10 (28.57%)\\u003c/p\\u003e \\u003cp\\u003e0.003\\u003c/p\\u003e \\u003cp\\u003e0.240\\u003c/p\\u003e \\u003cp\\u003e (0.091\\u0026ndash;0.635)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003cp\\u003eWe also correlated the positive group with the presence of regenerating fibres in histology. All positive N-CAM cases showed regenerating fibres in the muscle biopsy on the haematoxylin and eosin-stained slides review. The strongly positive N-CAM mostly appeared in inflammatory myopathy and muscular dystrophy. While the weakly positive N-CAM appeared in neurogenic myopathy and nonspecific myopathy. (Table\\u0026nbsp;\\u003cspan refid=\\\"Tab3\\\" class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003e)\\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab3\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 3\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eCategorization of muscle disease and characteristics of N-CAM expression\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"7\\\"\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\" morerows=\\\"1\\\" rowspan=\\\"2\\\"\\u003e \\u003cp\\u003eCharacteristics of\\u003c/p\\u003e \\u003cp\\u003eN-CAM expression\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colspan=\\\"6\\\" nameend=\\\"c7\\\" namest=\\\"c2\\\"\\u003e \\u003cp\\u003eCategorization of muscle disease (n\\u0026thinsp;=\\u0026thinsp;35)\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eMuscular dystrophy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003eNeurogenic myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eInflammatory myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003eMitochondrial myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003eNonspecific myopathy\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003eNon-diagnostic specimen\\u003c/p\\u003e \\u003cp\\u003en. (%)\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eStained grade\\u003c/p\\u003e \\u003cp\\u003eLow\\u003c/p\\u003e \\u003cp\\u003eHigh\\u003c/p\\u003e \\u003cp\\u003eDegenerated fibres\\u003c/p\\u003e \\u003cp\\u003eAbsent\\u003c/p\\u003e \\u003cp\\u003ePresent\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003e1 (16.67%)\\u003c/p\\u003e \\u003cp\\u003e5 (83.33%)\\u003c/p\\u003e \\u003cp\\u003e0 (0.00%)\\u003c/p\\u003e \\u003cp\\u003e6 (100.00%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e4 (100.00%)\\u003c/p\\u003e \\u003cp\\u003e0 (0.00%)\\u003c/p\\u003e \\u003cp\\u003e0 (0.00%)\\u003c/p\\u003e \\u003cp\\u003e4 (100.00%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e4 (26.67%)\\u003c/p\\u003e \\u003cp\\u003e11 (73.33%)\\u003c/p\\u003e \\u003cp\\u003e0 (0.00%)\\u003c/p\\u003e \\u003cp\\u003e15 (100.00%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c5\\\"\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c6\\\"\\u003e \\u003cp\\u003e8 (80.00%)\\u003c/p\\u003e \\u003cp\\u003e2 (20.00%)\\u003c/p\\u003e \\u003cp\\u003e0 (0.00%)\\u003c/p\\u003e \\u003cp\\u003e10 (100.00%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c7\\\"\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003cp\\u003e-\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003c/div\\u003e \"},{\"header\":\"4. Discussion\",\"content\":\" \\u003cp\\u003eIn this study, we showed that inflammatory myopathy was the only muscle disease that had a strong association with positive immunohistochemistry for N-CAM in muscle fibres (15/17 cases, 43%, p-value\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.01) with an odds ratio of 14.250 (95% CI\\u0026thinsp;=\\u0026thinsp;2.960-68.606), because pathogenesis in inflammatory myopathy is either antibody/immune complex mediated or cytotoxic T-cell mediated, which results in necrosis and regeneration of muscle fibres[\\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e]. Regenerating fibre which appears as a morphologically normal fibre on haematoxylin and eosin stain and other histochemistry can be highlighted by immunohistochemistry against N-CAM.\\u003c/p\\u003e \\u003cp\\u003eWe also found that only inflammatory myopathy and muscular dystrophy groups had strong-intensity immunohistochemistry against N-CAM (73% and 83%, respectively). This pattern of staining could be found in regenerating fibres of muscular dystrophy, even though the overall percentage of positive N-CAM in muscular dystrophy was insignificant (6/7 cases, 17%, p-value\\u0026thinsp;=\\u0026thinsp;0.03).\\u003c/p\\u003e \\u003cp\\u003eIn the mitochondrial myopathy group, our study only had 2 cases, and all cases showed negative immunohistochemistry for N-CAM. These results are limited for evaluation due to the small sample size of the specimen. The small sample size and unknown underlying pathomechanism may be the reason for the discrepancy with the previous studies.\\u003c/p\\u003e \\u003cp\\u003eA literature review revealed the case series of positive N-CAM in regenerating muscle fibre and fetal muscle fibre and negative N-CAM in normal adult muscle fibre[\\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e], and the case series of positive N-CAM in inflammatory myopathy, neurogenic myopathy and muscular dystrophy[\\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e, \\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e]. Nevertheless, Heuss D et al. found N-CAM positive cases in mitochondrial myopathy[\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e], while we found negative expression in both two mitochondrial myopathies in our study. The different results could be due to the small number of cases. (Table\\u0026nbsp;\\u003cspan refid=\\\"Tab4\\\" class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003e)\\u003c/p\\u003e \\u003cp\\u003eN-CAM positive fibre has been included as one of the suggestive muscle biopsy findings for dermatomyositis according to the 239th European Neuromuscular Centre (ENMC) international workshop classification in 2018[\\u003cspan citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e]. (Table\\u0026nbsp;5)\\u003c/p\\u003e \\u003cp\\u003e \\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab4\\\" border=\\\"1\\\"\\u003e \\u003ccaption language=\\\"En\\\"\\u003e \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 4\\u003c/div\\u003e \\u003cdiv class=\\\"CaptionContent\\\"\\u003e \\u003cp\\u003eLiterature reviews of N-CAM expression compared to our study\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/caption\\u003e \\u003ccolgroup cols=\\\"4\\\"\\u003e \\u003cthead\\u003e \\u003ctr\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eAuthors\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eStudy design\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003ePositive N-CAM\\u003c/p\\u003e \\u003c/th\\u003e \\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003eNegative N-CAM\\u003c/p\\u003e \\u003c/th\\u003e \\u003c/tr\\u003e \\u003c/thead\\u003e \\u003ctbody\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eMechtersheimer G. et al, 1992 [\\u003cspan citationid=\\\"CR13\\\" class=\\\"CitationRef\\\"\\u003e13\\u003c/span\\u003e]\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eCase series \\u003c/p\\u003e \\u003cp\\u003e(fresh tissue from biobank)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e- Fetal muscle fibres\\u003c/p\\u003e \\u003cp\\u003e- Regenerating muscle fibres\\u003c/p\\u003e \\u003cp\\u003e- Satellite cells\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e- Adult muscle fibres\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eHeuss D. et al,\\u003c/p\\u003e \\u003cp\\u003e1995 [\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e]\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eCase series in mitochondrial myopathies\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e- All mitochondrial myopathies cases (n\\u0026thinsp;=\\u0026thinsp;14) (with ragged-red fibres)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e- Control (n\\u0026thinsp;=\\u0026thinsp;8)\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eWinter A. et al,\\u003c/p\\u003e \\u003cp\\u003e1999 [\\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e]\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eCase series\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e- Muscular dystrophy: 30.1\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;6.8% of fibres (n\\u0026thinsp;=\\u0026thinsp;14)\\u003c/p\\u003e \\u003cp\\u003e- Inflammatory myopathy: 20.8\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;6.3% of fibres (n\\u0026thinsp;=\\u0026thinsp;29)\\u003c/p\\u003e \\u003cp\\u003e- Neurogenic myopathy: 11.9\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;11.6% of fibres (n\\u0026thinsp;=\\u0026thinsp;39)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e- Control\\u0026thinsp;\\u0026lt;\\u0026thinsp;1% (n\\u0026thinsp;=\\u0026thinsp;4)\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eCasciola-Rosen L. et al, 2005 [\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e]\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eCase series in inflammatory myopathy\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e- Dermatomyositis: 35.5\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;10.1 fibres/400x (n\\u0026thinsp;=\\u0026thinsp;11)\\u003c/p\\u003e \\u003cp\\u003e- Polymyositis: 26.9\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;6.9 fibres/400x (n\\u0026thinsp;=\\u0026thinsp;11)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e- Control 5.2\\u0026thinsp;\\u0026plusmn;\\u0026thinsp;1.1 fibres/400x\\u003c/p\\u003e \\u003cp\\u003e(n\\u0026thinsp;=\\u0026thinsp;5)\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003ctr\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e \\u003cp\\u003eOur study,\\u003c/p\\u003e \\u003cp\\u003e2020\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e \\u003cp\\u003eRetrospective in 75 muscle biopsy specimens\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e \\u003cp\\u003e- Inflammatory myopathy (n\\u0026thinsp;=\\u0026thinsp;15; 88.24%)\\u003c/p\\u003e \\u003cp\\u003e- Muscular dystrophy (n\\u0026thinsp;=\\u0026thinsp;6; 85.71%)\\u003c/p\\u003e \\u003cp\\u003e- Neurogenic myopathy (n\\u0026thinsp;=\\u0026thinsp;4; 44.44%)\\u003c/p\\u003e \\u003cp\\u003e- Nonspecific myopathy (n\\u0026thinsp;=\\u0026thinsp;10; 28.57%)\\u003c/p\\u003e \\u003c/td\\u003e \\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e \\u003cp\\u003e- mitochondrial myopathy (n\\u0026thinsp;=\\u0026thinsp;2)\\u003c/p\\u003e \\u003cp\\u003e- non-diagnostic specimen (n\\u0026thinsp;=\\u0026thinsp;5)\\u003c/p\\u003e \\u003c/td\\u003e \\u003c/tr\\u003e \\u003c/tbody\\u003e \\u003c/colgroup\\u003e \\u003c/table\\u003e\\u003c/div\\u003e \\u003c/p\\u003e \\u003cp\\u003e \\u003cb\\u003eTable 5\\u003c/b\\u003e The ENMC 2018 dermatomyositis classification criteria[\\u003cspan citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e].\\u003c/p\\u003e \\n\\u003cp\\u003e\\u003cimg src=\\\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAy8AAAMdCAYAAACSn0mWAAAgAElEQVR4AeyabZUcx9JuDwVhEAVxEARhMAUxEAP9uz+FQAhEQATMwBzmrj2vH53Hceqru2fGXeqda7WzKjMyPnZEVWWO/J8nmwQkIAEJSEACEpCABCQggRMQ+M8JfNRFCUhAAhKQgAQkIAEJSEACTx5eLAIJSEACEpCABCQgAQlI4BQEPLycIk06KQEJSEACEpCABCQgAQl4eLEGJCABCUhAAhKQgAQkIIFTEPDwcoo06aQEJCABCUhAAhKQgAQk4OHFGpCABCQgAQlIQAISkIAETkHAw8sp0qSTEpCABCQgAQlIQAISkICHF2tAAhKQgAQkIAEJSEACEjgFAQ8vp0iTTkpAAhKQgAQkIAEJSEACHl6sAQlIQAISkIAEJCABCUjgFAQ8vJwiTTopAQlIQAISkIAEJCABCXh4sQYkIAEJSEACEpCABCQggVMQ8PByijTppAQkIAEJSEACEpCABCTg4cUakIAEJCABCUhAAhKQgAROQcDDyynSpJMSkIAEJCABCUhAAhKQgIcXa0ACEpCABCQgAQlIQAISOAUBDy+nSJNOSkACEpCABCQgAQlIQAIeXqwBCUhAAhKQgAQkIAEJSOAUBK4+vPznP/958icDa8AasAasAWvAGrAGrAFrwBq4tAauPSnddHi51qjrJCABCUhAAhKQgAQkIIHHJMBB59p29cpbjF7rrOskIAEJSEACEpCABCQggXMTuOUc4eHl3LnXewlIQAISkIAEJCABCZyKgIeXU6VLZyUgAQlIQAISkIAEJPC4BDy8PG7ujVwCEpCABCQgAQlIQAKnIuDh5VTp0lkJSEACEpCABCQgAQk8LgEPL4+beyOXgAQkIAEJSEACEpDAqQh4eDlVunRWAhKQgAQkIAEJSEACj0vAw8vj5t7IJSABCUhAAhKQgAQkcCoCHl5OlS6dlYAEJCABCUhAAhKQwOMS8PDyuLk3cglIQAISkIAEJCABCZyKgIeXU6VLZyUgAQlIQAISkIAEJPC4BDy8PG7ujVwCEpCABCQgAQlIQAKnInCawwuOrv0+fvz4DP3Hjx/PMp8/f/6fJGQuE6xB39evXzP0j/7Dhw/P86zrxv2nT59++YLclGn5vv7y5cvTu3fvntcuret5/Pvrr796+a/rnz9/Puv4NfD3xbdv357ev3//S//379+niPcSkIAEJCABCUhAAhI4LYHf8vBCUPNAwX0Hm8MLh4jZ/vzzz2fZqYfDAWNLv2lv6uRgMtdxkMEWjYPGnM+hrHVxoMnBqscT39QR/S27dY2fS3a31rz2HLH98ccfr23mVfRPnsSRWknOXsPwa+puf6cdnpEc0PnDALUEg5do6Os/NlDrYfkS+m/VMVlMf6/Rf28xXhODayQgAQlIQAIvSYBv47Xt6pXXGGXN3iYomwc2T/NQkrkEy6Yq/0oxN/hsOjKXzVEONOjtf9HIZm3ai5306EMmtrBBTNmMxZ/Ms8llnn9lScOX+DUZwoa442/ijf7o2OvnZntP/i3m79Gna+Mmb8nRtTqOrEv+j8i+pAx1vPQvny9h4yUPQi/hz56Os/m7F4/zEpCABCQggXsgMPfAl/h0t4eXHCj6sDM3c2ws+HGgmBt8xtiA9UYTXdzncNGgsMehYu1/80KWtX3oYaw3N8yjJw1djLVv3LdvkaVPzDnsJN7W2fK5xqcciJCdBwX8yEEK+/wvc82AMe45OBEPjTHWcc91NrPo5x7Z6RcyjDOPP5kPd8b5pTEeeZgkbuaZ44cOZNDHPD4hix58y338i27uiTNtiQFjaeiOXnTDK/P40VwSB+PJUfTgb3KB38jstV6TOFkzdePP/N8dm9lWDHMt8WRt20ls6fED2Y5jzV9kpw/4G47oid7mif007KzVBGuQJbfoQQ5f9tqav+hCZ/7FdOZzyV9i2XqW4iO1RC55rvC1Y1x7TvbicF4CEpCABCTwuxDg23htu3rlNUZZs/bLx50eGfpsZLLRzlyCZaPAj8MBfVo24pGnp0U+crf2bNTwNZvA+N16sdkbP+7ZADGG/GzZmDHHj/utFh8iT8/mqnn0pjxybKzSsoY+63osa+Cca3o2j2mJp+e5JhdzjjW9Acwa9CXXrJkybITxL/L0+JTNaXyhR1cfNHOg6LVwSUO+57gOe3xpLpFjPDWGnqVcINt+xF76bJyjkx5fqJHWjfyMHdnO41YMfeiJrcTfdjKXPnaJlbblLz4v+UAeoyd6myf2aTPfyKIvNcGaJZnMPysZ/9nyF7voTG3MfDbv+Lv3LE0fcYc4EiM2wqD7rRhGSN5KQAISkIAETk+Ab+C17eqV1xjtj/W8zsednrncs1nIxiFzCZZxfnz4WcPmicaGlk1O5KMr8ll/S89GlY1VNmboar+jG5vZ+GWMPpuYHkNnNlLhw/rE1bK5zl9xEyM9frGOlg11/4U6G7qswVbiiC3G8ldzxvALvVmTQ1b8mCxy0Ik88cYn9MVm7CGHjj4wIJP10YefrCHnyKM3+oiVRnzMpSVedKRFH3M0bDWjyNG375GNX/SspeX6ko0oTKjxrEEHvuNL9KF75pGYYRHb8WstBuwkx8/O1n/aDsPIEnNa32/5C1N8Tx6IqZ/fJd3JcXKY/CIbFqkJbKOfcRqxZv3zwMJ/tvyN/tQFPmyxmDnAXGorPsUeuvjR2kf87zykDrN+IQSHJCABCUhAAr8dgd6/XBrcmx9eelO05Gw2D/mY555NQq6zjo0CPxqbpGzcuG756Gr56LimzyYtm6ro6E1KxrC5FDNjM3EcFnojy2aJ+97sRG969E8/0B0u2Rxha/7i15Lfc2yym7mIP/S9CQz79ilrs2HPWuKM3y3PfNZEH2PIJgbY9XUzYbz/hSL2GMsadHGfOFmfzScy8Yu1zSZ+MY48m1NyFj3ZGMfm7NEVH+Zc655zsEtuM7cXA77FL1jnkDHtINM+9f2Wv/EjPfo7p4y3Lu7DMj5s1cRc2+tjc/Zb/sZmr5ljbTO80Tl/4dXy0ZsYc59+6TnJnL0EJCABCUjgdybAt/HadvXKa4yyJh/5NYezeaBPYyPJxit/5cw4GwV+NDYWbGDZ/CBLm7qy+ZgbpMiyLhu6ZwUL/2EzFl/mNPFhI43NyRzLHBwmwyU+yCXGrO2eOXzq1muW7LQs19ht3ktjzZr5sI0ucsOmHV3wIRett33K2pmH3ui2fNtrP/EJORoHV+yHeecRmb3DS3QgG3lioHHfOei4Esuz4N8HGGqANanbronIpUcXsktt6o5frMlBi+tucEAusokBGfRljnjmcxI9zZWxvt/yF/Z5PpAjHznIrelGDr8S61ZNtB/Rl/W5n/2Wv7HZa+ZY24Qd+rZay0eufdx7TrLGXgISkIAEJPA7E9j7nm7Fvv0l3lh5jVHWsAHYatk80KexKWKjlc1xxtko8KOx6UE/G8Vs5qeuyLDxYxORlg1FNnMZnz2b0WyQ5xz3+ILubMDwA596I511Sxsh1qI/61k3N39Znz4b5PBibTa2yIQBvsCRBiP8CgOusz5651izbr1ch2s26diJjegl3uSKefS3T8jBn3hoLd/2oo8x9KWeojM5elby93+IE3vxj+H4FwYtz3Vyx/X0pdngD/dLDZ/28kcMnfPkD5utO/+LVGoJufZxyf7WfPRho+2gp7nO+y1/sUftETdtqX6n7rBM/tCR9fjVNTHXYiPrnw0u/GfL3xk3y+dY28xc+zjrqOXjTnw88pxkjb0EJCABCUjgdyawtnc6EvPyruvAymuMsmbrh9lsEOi7ZQPadtko8Etj48RmJxvSJV1sCtd8YEO31rK5WlqbDXT7GLn2r3XHjx7LRihr0yeels11NkSRpeev7W2XzXHPcw2rNO4n7zk2WYctOtikTv3ZOEdv4kWOxiFjriF3xENDvmOIvehDhvmw55640dGHlGdlf/9vhdMeXGhLDJHNv1pMX6KH8fiFnhwIMp9+yZ/4tVQz4dC6l2ojjI/EQL7jT3rs0NoO95Nr32/5C6/opkf/rEV0MUdP4zo53auJ9uN58Vifse63/J1xs26OTX/3nqUtH488J+271xKQgAQkIIHflQDf/2vb1SuvMcqarR9BZPOQDU0Hlo1Exrjnl8bmJxsyxtZ0saHpTQjXjG216FryvzfQXOMDcviWvyJP3cghMxvj2WjSbx2oshbfs4b1/JoLPmSjG7/yF3x0MDZ5z7HJOjziAzYTN3nAJmuycUc+8xwW4lPGyEH7NGOIvfYT/cilZaO6xBzdvbnmuuVmTfRf16cv0YNM/IoPyCYXxNb+RWb25Dhr6BNj6w4v8oLecOU+3LZimPHDLuvaDr5NrvN+zV/0IYtPiQPd+JuWQxjztK6zxLhWE9OPuT42Zr/m74ybdXNs+hsf8ZsfPoUj6/d8pB4S39JzMn33XgISkIAEJPA7EuAbem27euUtRq911nUS2CLAoYKfTQISkIAEJCABCUjgfgncco7w8HK/edWzgwTy13EeBP5ybpOABCQgAQlIQAISuF8CHl7uNzd69gYE+N92eAj437hsEpCABCQgAQlIQAL3TcDDy33nR+8kIAEJSEACEpCABCQggb8JeHixFCQgAQlIQAISkIAEJCCBUxDw8HKKNOmkBCQgAQlIQAISkIAEJODhxRqQgAQkIAEJSEACEpCABE5BwMPLKdKkkxKQgAQkIAEJSEACEpCAhxdrQAISkIAEJCABCUhAAhI4BQEPL6dIk05KQAISkIAEJCABCUhAAh5erAEJSEACEpCABCQgAQlI4BQEPLycIk06KQEJSEACEpCABCQgAQl4eLEGJCABCUhAAhKQgAQkIIFTEPDwcoo06aQEJCABCUhAAhKQgAQk4OHFGpCABCQgAQlIQAISkIAETkHAw8sp0qSTEpCABCQgAQlIQAISkICHF2tAAhKQgAQkIAEJSEACEjgFAQ8vp0iTTkpAAhKQgAQkIAEJSEACHl6sAQlIQAISkIAEJCABCUjgFAQ8vJwiTTopAQlIQAISkIAEJCABCXh4sQYkIAEJSEACEpCABCQggVMQ8PByijTppAQkIAEJSEACEpCABCTg4cUakIAEJCABCUhAAhKQgAROQcDDyynSpJMSkIAEJCABCUhAAhKQgIcXa0ACEpCABCQgAQlIQAISOAUBDy+nSJNOSkACEpCABCQgAQlIQAIeXqwBCUhAAhKQgAQkIAEJSOAUBDy8nCJNOikBCUhAAhKQgAQkIAEJeHixBiQgAQlIQAISkIAEJCCBUxDw8HKKNOmkBCQgAQlIQAISkIAEJODhxRqQgAQkIAEJSEACEpCABE5BwMPLKdKkkxKQgAQkIAEJSEACEpCAhxdrQAISkIAEJCABCUhAAhI4BQEPL6dIk05KQAISkIAEJCABCUhAAh5erAEJSEACEpCABCQgAQlI4BQETnd4+euvv57ev3//9OPHj6sAf/z48Ynf0fbly5cnIPXv3bt3T58/f37ClzTm//jjj9z+o//zzz+f16Prlobft+o4Yn/aIVbiI27sX8Jvzx76OqZpe2/9vc/P+O7d3/bvVt+pmTynPCvklrFPnz61medrnhGe6zRsv2Sdoffbt2/PNYwPP3/+jKnVvv1/rbp8Lb2rQS1MXBvnS+eo/Vhw81WGbqlxcpf6ns7dymZLN7awC697bTxfPM/4+PXr15vd/P79++J742bFKngVAlv1y36CeZsEbiFwy/vv6jfnNUbZ/LD5yAtx7aOxBYMXKgcMNk9HNi/oWvq4sRYdHz58+GWO6958/Zp4eno+6GTj3+OXXvPA489bN/LVB7WXtP9vxfSSMWzpWqqfLfl7mntJ33le+3mZcc7NGLZf+gOHPjZBRxt1n/fM71ynHedRNq8h92/4cUuNUxOpj5fm8Zq6X9rXJX1wZZP6Uu013gcv5Zt6/pfAfJa7HnLNnoIaeck6+V9PHPldCVBj17arV15jlL/ecPCg4OeDcTQA1vOx4bf2ryRTFw8av6XGB4YDFY1rdOa+5fMvNWt6IktsHIqIjx+bvT5kYSM68uCjG9nYaF34E11csyaNTVwOgvS9qYsdOGU9fVgwn4Z/+Bk5/G876Oj5jgk9WRedsR39fWCdfuIP8rz8wmHvRXiLv/iEv9RiYsKnzlH8Th9m7SM+8y8N3ZBLDOiG21pjruNmHZwYT04nB3zOHDHMPBEDOplDX/ymT5sy2OhcRy49uvAJHVznN2PjPnO9pmNkfMZ0iT+tH700fO/nbT4j8QVZ1jSLtbrEJ/LXDb29ljnG4n/m6C+NmTX5tc2+jk9hMHO/FueeP5mPrT075DnPDTa5Zk1a+5Gx9OSqnyFqtOshvrRMz6MnvLGzVuOxlx69yLKG3LS/3KeW8Y948v6PP+hJfXfNsHbr2WE+/9qAbX7EkzXRGT8Z36pl/Mmv4+n30BKf+BA76Rmnhpcavsdnehr+IZ9xfG3bxLNWG/idddHX7OMDc8kHfXLAeL5v9HkP0ve/Ck0f8Te8Y6P7LZ+RSw7hTWy0aWNyaP1cJ2f0a3ljLrWFDFz37Czlum1vcSJumMYm18QaVtznh29pyFPDjCGPr/NdhCxzvS7r7SXQBKixa9vVK28xirOsz0vqqPM80HmBsIYHpF+ea3p4iNYeJB5wHr7owyf0dovMlp7Is7ZfmHmBxM9+qHnp9osPGV7G+bjykmhdXCcOXjK8OMKQNdyntR3GOl/oSIzRkw8A91w3Z/QSRxrrw4yxaavv8a/9nPfowrdsUhJHGMRm+pfwF3vNGa4dT2ylx0diyMYDH1jTjMI0eSZObCC71JjHD9bR4IsNdKKDH/fhQN8+oxefO2/I9z0+MhYbYccHiJY4Mv88OP6Dj/hKo0/dDLFf88inoZf7tdxe4w/24w92uCdOdCWe9rH9ZzyxogM20TXvZ+7IS+cb27lvvUdiRvdWnsIvfTj1Gq5jH7m1OPf8YT68jtiB2da7oP2I/+nxeet9t+frkn+zxmMrPb7CKc8ltZ94keGa3KMbuTwbzDUbZIgNeWQjn5zEXvfIwis68QEbeR6iM2uQ36pl/MnzHB+Q7zrgOj7FR+zMesYm9vJ+iQ/dY49fGvJ5BzKGHcbS9mqjebKGtfjWresnfpPDxJuxrAvT3ONfGKKX646hbXG95zM+Rl9qaI/DtIH9vbwhQ+6wcdTOWq6xv8eJ+b167lx0TOSDemK+3wUt47UEjhCghq5tV6+8xSjOrj0YW4HwgOdDgBzXvFj2Guv4LTUe4ryAExMPZl4grOGDy0O6pQe5bDCX7GQMW2u+IMN8Pj7Y7Xijg37P1rST2FiL/cSMrSMM2zbMeBmnTVt9vxRD28QXeHfb+uD02l6zdT39hUVzJdfNZ+pqXj2H3+imcc0Hthsf0uSyx7lm3Yx7+gXHrY8DfsGXRjzJadvCBnKRycYpMvjcucx4enxKjPRLNiLLfHPcyy0+X+oP9uPP2jNAPHl+23/WhsVeXeJXagRdyPNLjslLfG+9R2JOzsKNvvPU41wfqfm1OPf8YT45PWJn+kYuun7ajym7dI/tPCN7vh6p8WljLybsk0s2gsl3dDSb1HbqCpk1f7K+6yJj/a6JTuaO1HL7E3301A66aF37LcPacGYcP4h5q7GG35Y8OvB9qeFT18b0Hz7xO+u7fpibPvJtmO9E7vNM0c88RveRfvqc+sjaNW5bHGbc0dV5QybvE+aP2FnLNev3OBEnrLGTNuu5c4EM7z74wiTPFff4nvdidNlL4AgBauzadvXKW4zi7Hww9gLg4eBhn42Xxt6Dw8PFb6nxEPMw0hITD2bk2+6WHta3riVbjGErurnn5YE9XlzM4UPm80HLi2jGyTjxs35+QKadxIZN9CfmvZgSBx8IZHlZkYfWN231Pddw6dac2pfIbPm0NZf19Fv+4vv0qeNpPVyv2SRnzNFYv/TL/NTZDDI3/WqOyJB/PjDoZI6PFz3tiI/ILPnI2Fprn5Z87nXMt6742TLt5zX+dD2t+dMy7T/j2KS1TPxrfVxT6zSY8+M5o6fx7OWZa71HYo4Pz4r+/k/XUo9zjfzSmpZbi/OIP/h/1A5ylz5b7efW++6Ir0scttjxzPCOJJfkrjdr+EXsvM+W6qH9mbXN2q6XjjHXSzqZwx/Wts41Xa0Df/biJ0bigQk604i7v5/Mp5YjM/u2F1+ps/lrO1u10Tyx1bHFdtfxEhPWTPvcM07b+2bGTvdbPk8fj3Jo/c2xx7tup8wRO2u5xsYep+hvfxgLR8Y7F9zjIz7nmndgrjP+POB/JHCQADV2bbt65S1GcXY+GHsBsHFgzdKPh2qrzRdDy/ICyCYlMfWLPgcL1mzpYX4+/G0n17wc4i8vTTagvASwk/WZZw0fX+aQQXZ+cFiDPB9EfjngtB30JDaukc9Liuu2Fz+7j27k8BkfWt+01fdc42O3xMlY+xKZLZ+25rJ+z198nz51PNGTfs0mL2xyQ9taHz3dN4OMT7+aIzVJ/qlV/GE99pGhbfnI3JbM8+TKf9qnJZ97GfPNAbvxL3LtZ19nfq/velrzp2Xaf8bDomVic+rLZo9nD/5sjPLBpsbSWu+1MZPL+Ba96Y9wWovziD/4Tzti55pnK3Hsve+O+IrMbFvsIss7CzlymhwyR+z4lUNO3p/MtT+ztpmf9RJb6ZdqjDkYUkutc01X61jLD3HlPYR+ahVZ3hW8M3LI5p5rYoRDxxqfu297a/61/F5tNE/WdWzR03W8ZHNpTdamJ66tb2bk6Pd8nvaWfGp9S9fNsec7b1PmqJ21XE+/2y7X6O93dcZYl9a5yFh6fG/ZjNtL4BICswYvWnuJcMveYhQ9Ww9G28n12sv2yIt4vhiik54HMAeCjokXPR817PKCoG3pYZ4PA/JbDXvooXGNjW68TDPf41wTa/s453mhZG3bQa7XIcM8LS/5qSv3vOTwqRs+t75pq+/hGL7R0Tbbl8wzljgylr7XZqz7I/7iO3LdOp4e53rJR8bJdTYGfT3XL91jPznI/PSrOeID+e3WHxAYT33I4ldYIkM+Lmnt05LPrYv55rjEjbFb/CHG5G7teWPDlme2/W+ee3VJXGxyqfWuf3Qw1rlovUdiRn62ztOc26t55Nfi3POn5/fswL1ZYHe+C9qPGUfY9Xi/79qXyDDGj3akxrNuq8dmagifck38ndf2B5mubfQztpTL2GYuvmeMuqQ+sz46j9Ry+xN99FvvHvITH7mmpuHYcbauvsZe/G+/WybXsNirjek/fuFLWr5vyccSX/wnT0dbdC7JH/EZH+MPOvY4LNmZcUem89asr7XTud7jREypvfgzeW89y1ljL4FbCMwavETXKf7lhRccD+Na40XcL8EpN18MzPMSYgPTL9wGyYuAubz4WbOkZ9pCHl95adLQ05sp5tFDw36u8Yd1yGYM2X5Rc80Lj5YXL+to9PgbDm2H+Y4N/czT8BObscN928lHNXaIBx+mvv4Ytm38RD89bd63L88CO5xfwl98jz+x2fFkLD0+Mg8X7PMjV107yHAfTnDjHl5LDfvJQeanX80R29RL7HMP1+hgnLwwTouPXU+MLeW644gv6dunJZ8jlx557ND2cnuNP8TbueM+z1tiDhN8aP8ZxycaOrbqEpm8A9CflryT37TWe03M6Ow8RW/6NU55FyC3FueePz2/Z+fIu6D9iP/p99537UvWMMaPhn97NZ516Vmb+mAsec9zSu5mPSW37Q8yxNaNsa61nuOaOfKad0De0XlXTp3Ix9elWsYffNh6D3VNRwc603jW+z2V8aUee/zS2j/G8i0griO1Qbz9riEO7vGTH/q7fpb4MtYxYpv4whQdeQfiI9f9nCQW+iM+ow+b3bY4tFyuj+Rtsmbtnp3mMHO9x4n5vXrGfmo3sdhL4CUJzBq8RPc/38YXrLzFKGb6JRWzSw8UczxE+aBEtnteYGsvKOTy8sBmfjz4vPB46NNmTMjkMBA9/TLPuu7Rx0c6dng59wuAWKKDmJhHFv8Z74Ma861rckCedazH1+jFn7bDfceGHPNp7Qdy2GzecEJ/z2EX7jTiyzz30zYxxU/65jF9YT1jHcuzkfrPrf4Sx/wgNZ8y9XyJLzCYHLp2EEQuHIiza2fqxH7ngPnpV3PsusIGH2w4YCeNe9agB5lwbJYtgxy5nnFE3/RpyeeW5Tr2Y3vGmPGsu9Qf9HXumgvxZPMX/c2Utc1iqy6zHo6dR2q3mSfm6KW/JGb0U1eTS+ynh1PeFckbY2lrce75M+f37MxnAHl45F3QfsS39K2bNdiGbTbX0xfWMcYvDR3wxc5ajUeWnvpAP7KswW6/f2Y9xUfWtj/UHOu77T0P6Ca+vMOT6+iYOvdqGX/23kPE1nUyn4eOKX6s9cjySwtLOPDDDrzS9moj32nWEjv6kkvyAqvMoXONb55BZCdT/Alv5tHfPsbX9Hs+z/pg3R6H6E5/JG+T9RE7e7ne4jRrD3uTNz6FYWI52sOta+foOuUeiwD1dW27euUtRq911nUSkIAEfkcCbATZbNgksEZgaYO7Jrs2zmGmD+Nrco6/HIGXyNvLeaMmCdwPgVvOER5e7iePeiIBCfzmBPjrMweV/EsFf8Xlf23hL8hc2ySwRuDWTTA1R53Z3pbArXl7W2+1JoG3I+Dh5e1Ya0kCEpDATQT4yzf/mwwvbn7zf9O8SbmLf1sCt2yCqTEOLv6ry9uXxy15e3tvtSiBtyPg4eXtWGtJAhKQgAQkIAEJSEACEriBgIeXG+C5VAISkIAEJCABCUhAAhJ4OwIeXt6OtZYkIAEJSEACEpCABCQggRsIeHi5AZ5LJSABCUhAAhKQgAQkIIG3I+Dh5e1Ya0kCEpCABCQgAQlIQAISuIGAh5cb4LlUAhKQgAQkIAEJSEACEng7Ah5e3o61liQgAQlIQAISkIAEJCCBGwh4eLkBnkslIAEJSEACEpCABCQggbcj4OHl7dPkYRMAACAASURBVFhrSQISkIAEJCABCUhAAhK4gYCHlxvguVQCEpCABCQgAQlIQAISeDsCHl7ejrWWJCABCUhAAhKQgAQkIIEbCHh4uQGeSyUgAQlIQAISkIAEJCCBtyPg4eXtWGtJAhKQgAQkIAEJSEACEriBgIeXG+C5VAISkIAEJCABCUhAAhJ4OwIeXt6OtZYkIAEJSEACEpCABCQggRsIeHi5AZ5LJSABCUhAAhKQgAQkIIG3I+Dh5e1Ya0kCEpCABCQgAQlIQAISuIGAh5cb4LlUAhKQgAQkIAEJSEACEng7Ah5e3o61liQgAQlIQAISkIAEJCCBGwh4eLkBnkslIAEJSEACEpCABCQggbcj4OHl7VhrSQISkIAEJCABCUhAAhK4gYCHlxvguVQCEpCABCQgAQlIQAISeDsCHl7ejrWWJCABCUhAAhKQgAQkIIEbCHh4uQGeSyUgAQlIQAISkIAEJCCBtyPg4eXtWGtJAhKQgAQkIAEJSEACEriBgIeXG+C5VAISkIAEJCABCUhAAhJ4OwIeXt6OtZYkIAEJSEACEpCABCQggRsIeHi5AZ5LJSABCUhAAhKQgAQkIIG3I+Dh5e1Ya0kCEpCABCQgAQlIQAISuIGAh5cb4LlUAhKQgAQkIAEJSEACEng7Ah5e3o61liQgAQlIQAISkIAEJCCBGwh4eLkBnkslIAEJSEACEpCABCQggbcj4OHl7VhrSQISkIAEJCABCUhAAhK4gcBvf3j5/Pnz059//nkI0R9//PH0119/HZL98uXL0/v3758AyO/Tp09PP378+LWW64bLdc//Ely4QPfHjx8XZq4busT2dRZebxX5gEUYcw2fWxrro2Pm6Ra9t6z9/v3707dv3w6poJ6pvbX20vWzZofxPV/25rd0v8YcjN+9e/dcTz9//vwfE9RXntPXqI1Zz//jwBjoXL6GP5h7ab3knPfuNQ0+xNzv1g8fPhx+NmJzqe46t5F76f613rWvpXcvfmqDbxv2+fHs8J2E7yWNnPJLm/cZf8n+Jb4VL+nPNbp+hxiom9ku2ZfNtfOeWoLTtW2+/y551pbeM9f6ce/rLuHyFrEs1dVRu/9bkQdX3mL0oIlnMYqSF+3Rhny/YNfWoZOHJZsfPrjZFKGDNh+INV1vMX5vRXdJzHBk8/KS7S0+nJf4S/1cEuNebd36Mr/E9z1f9uYvsfUSsjy3HBTXWj8rr+E7Oi/JdefyNfxZ43DrOH7j7yUtzwGb5bxbWU++OMyg82hbYtW5ParnUjm+De37pevvST7fNHpyQ8vBlENMxo74PDfh8/6Ijktl8Pvr16+XLrsr+bfg9NoBL+33eMZfqvU78hqdS++Ko3puWXvUxr3IvcX785JYl+rq6Pq7P7zw4PdfiCg0Ng4EzY/r+aFhzdZLmRfi2uaDjyzrabOoO/HI8JeH/EWLDwF60+bDiI/tN+vaR17Q/ZfKOd+2Y6N77OWv0djB97TJCLvYiv0928SKTPznPh9A/ELXzEFs4xcy+eEX6xmnhRMs4//8iy+6WYMOZFiTHzqW8tT+Tv+Imw1KfOK6847ObLaQYT33Ww1/Ov/wSW1ER+bjb+x3rmIjXHI/GcAo+UMGHckPemfO53r0Z138oJ++TF/DNX7Rwy/6Mt4bwM4teVyrlayFE8zxZ7JvX9E1W8/jU/xvnaxrdrMeyFu/c9oGOttGeG3FyJr4Gn+iE9tdJ3CLb9R6rpEnhujJesbIydSLj8kV19c8A9ie9jqW+NA9/s/nN/PkHT+6dV4614knrOc9ftDwLzmJXezkWcj7Ijajp+2iozmTj7S15ybz3aOD+ONz5xI5xrGfht955+EDtpBJ43orh5Fb66lh9K/VMnHCIW2LG/4lLq7nPToY4z2JTfjTYLJW31lD3iLD2vaJufi/x/fZYP0n/nRO0Ne5Jh+pFeKb780jOjpnmE+NxRV0pF4Zm98Wcpx2aYxZl/5IPFu80bNXl8hQK+03Omctt0/ohAOslr6lmW89XHfb4jaZY4extNaLH/hPyzrks4ax+NP+rumIntQK7zHW0bcPyG3F8OzQ+E9qB33Ypz7aD5hz320pf5lHzy3vlOh5qR5/rm1Xr7zF6FFneWnlJZg1JKuLn0T1xwY5ktMPVtamT5Hlfq1PYWeemFOM6OA+vvDCxbe0FD/3FBxz8Yn7FBDzPEgUeh4o5okp8si07dhIH1t5yeMj+tBDQy/+5h7d8fuIbdaiD/3oyD12aTw8MwfPE3//B39Yk8Z11tITWx5A/IFVs5js+BgxFh3oR0ca180T+faP695YwBl98ZEYuUcvLT5F/1LfvJnHBv6FObrQmTZ9znh61k5/8lFHJ/4nftagOznlnrmOmeco9cR67hPfni9zfsaKrvmc5h4/uE5thnW4JN702Gr28x45uDC+1vpZie+swWZiD4voo/7iE3Nhv2QDnT2/FyPzkY8/0ct4ahH7XEeW684p97CJn+ggx7Cdem99BuIf+vMsZmyrx277tyWLz1u5njGhq3PLPbWYd0feT+hMfhmj/sgBLTphjJ/8mI/8s1D9p+cii46lhh/JJfNcxy737Tv2+rlAJ7Egk8Y1Y+GPvn6mI7fWYzts1mQyTmxb3JCDWcezdJ/487wjkzFscM1YGtfEmTqf39HI0e/xbVmu0Q2/vDdTC82EmGObNcTXjI/o6JyhIzUWf9ARbslzaig+5f7SGGMj/ZF4tnjj515dYgs/k+O5htrGD/JNS8xwZizj8ZkeHfiV3OSbm9qPjnCa3BjvPHAd2SP+9drYan+P6CDmvI+JKRzCKXrj14yheeR6vt/Q2TbQ0e8IfO78UfvUXxpxtvyl75Toeam+uV+q879vygtX3mL0qCkSlWJeW0MhUDTdKPhOWM9xje9LD9CUQ3fHyXUKD/0kvhtFkXmKPT4Qx5TtdUvXrO+XaNue8tid8cANu2kUMT4cYTptE0c+AOhjHptpxMwDs9aYDwtkuEYHbepiDD8zPx++50V/b1oig/6Zp/aXBzzzXM96ic34SP10fLG51iO/FX/W4UO/jONT5rsntvhDLPM5IN9LcUQHTHqea2JfapPflJnz+BK+6KRO+aUGeYHG3yW7yGb9tLU0N58fuODTWoNr5uN7x47tsGV8KXeMJVfTDjqznrm9GDuX8Yd1a3UWfXDs9wY+wYJxGrzje+tlDgbNmDhTb1xjYzZsdVzMYy/P2ZSf90efg6zby/WMiXWd29yn7riftcJYc47OtXpAvlty0WNr10vxtGz7zvtl1hf5So5Yx/VaDlvv2jX+pFbWZDK+xw05aqNrYem+7TX32KFvpujoGmceNuRptj2+U376x3w/B1Oee+z2s3FER+csOnqsdRBrM0Kee2KjXRrj86KN/yzFs8V7if2sy/gZs53PjHUc+JD3VOZnT13Nby5+pt72uGGjmXPNGO2If712yd8jOpDpdxG2L4lhMuEev6bOKUd98fzSlp7jlkffLe+U1vUS1839Un13fXihcFO8HRgPO+M8IBT8EoClsejYmosM/dYD0S+krGEsDwz+cU9biyPr6ClQiirreBCynnl8ju5elznm5w9d3eCFzvkw7NnuuNAXH6N7csp4euY7Fq7j29QV/T2f6+ijZ3Oc8Wl/iRVjtOlLdFJT7SMvnWwW5yYja9Kv6WQdPkZX+zV9jq70rIs/XM/c5j7y9FvPBbXFswI3bHfb82XOc08t0dDLj5cmPY14wyzcnyf+/g/x8FtqxLzkX1iwZkmmde1xRn/0Jbbw7H76ERu9nrG9GDuXsce6qSf6Oz7eAzQ2XeFKTwt3rlsv983gWbj8XLM7n4HoDavoWevRu7RJaabtV8cZne3bjAmZXp/7rKVfqy3W0ZZ0ts3WxTWM156bKZvNOvmB5XzPtu/xp3Ug3+MtH7mez9haD1/86AYfdOSX3O5xQweyyKUt3cMybY0r6yI3dbC256OLfo9vy27poUZjH7mt9+aaL61j5gTdPdYxch323TNOuzTG50XjP3vxdA5Z2jG231E76xIfs1lGZmlN1xM8El90zh75KdM6mGteuc6ayZx5xo761zEs+dvz8b39W1qDHLmIj3sxRG/3S3b5FsCfb3l04guNXFGbOTz2H2mYby6xs2Qjc6/d32L7dIcXEsOPZFEYfFyWACyNJREkPIWdsaUemdbDddahIwWTta2XOe5pXE/ZrKGnwNikUHDIYSOFGbm2nbH07WPGZk9R4w/suqCP2O640NuxcT85TdvMhwVzXIfH1BX9PZ/r1vvahxds4Te2U3MwXGozPmTwL5seapQXfudwj1lz4XqJQfsSH5Fbey7INfPUGfWGT7Q9X5bmiY3GRg296MqmGl/SlmpzK55Za+iZfJdkYo9+j3Pr6+vWsXU91+zFSLypf9ZGfuqJzY6PXMGWGuJHC1/m8iy3XmSaQfTu2e0Pbdas+Zj52WNj7TlBtmPr6+hpezMmZGZciSnr12orcks622b0dL/23LRMrok9f/3kGUvOmG/f40/W0bO2x1s+cj2fsbUeFryH1lrHvccNHeQLubSle3Smtf6M0Xfep4453+u43uI7ZdtOz/H85N239948omPmhLh7rGNc09f+XRJjr+P6SDydQ9a0T+13dM+6pKby3kFmaU3X01odRD898vjRrXW0jy2T68kcnxijHfGvZZb87fnYbP+W1iDHO5X3NG0vhujtftpFH+8VvrW8Z2IXX7rx3skeJN9l5tEXLpGfNjL+Fv0ttk91eAF6PtwBSzKXACyNZQ2JTUFlLD0vtdjAXuvhOomnEGfBdHEyxz0tH7PYmD2y8yPDfdYj37bnejaSeRnPudyjr4s940dsd1ys69i4n5yiOz3zHQvX6KBNXRnLPLnqtdFJzJGZ9pdYJY+8dHn4eSF34wFfshMZ+MVextLP+BjHXtvIBwBZ2vQ5utI3l616ja7UbNavPRc9n3j3fFmahxc22i76GOtahnV/6LDPs0dMS21pbj4/2AnHJR2d/yXfGUvsqYclPWtjvR6ZvRg7l+0Pz2wOgW2r9cEJnnAJR9j3e4q1rZf7ZhDd1zwDM9boWuvxsz+WU65zt5frGRO6ZlyJKXZmrTDenJd0XhIj9Z3aic21Ps985tt38o7dbuS642n5yPV8xtZ64qaW6Jdax73HjfXE3e/ApfuOqbm3/a7vqSN2Wk+v7evJt+eip/1lrJ93bPT7i/n53lzyr3Wwhpzk2dzTwbMB66NtL8bWc208xBjeR+qS57Zb5zPj/WyjGxtbrd+RkWMs+dvjho1+NvrZOeJfr13y94gOZMhXt/a7r1tm67r9Qg6O1Gg3ajicejzXzCe/zSXz00bG36K/xfZdH17y4Q7EvAzzoiCJPGwTwFLxRUd6EsoDlhc7RYc9CpCetvVALL3U+iXQDyO60ZuXFvdcZ+PCNb4wnjnk+4FfKrrEgi3iCRdi4j5FTt8vHORT7Edsd1zY7NiWOMWv9DMfzW7qiv74Bw84NTteAvCJzFae4kPXCPbRgW4aups3+ponXLlPXURn+sznnh596KElHz3GOD7Fh2fB+k9zQYa1zYBrfKIdeS7aNvqIn1/ali/IzHlqCvutg2vG8kyxjjgYS22G9VrcMGtf5z06Zz0mhvTMp/ZZ37lHhjFk0mY9sJaai8+RSz/X78XYuZz+tO3kpX1jDF+Sa3ygDrlPPTA29RIzY92aQ9tFJnlp24zjO7+jDX/xrd+trKUmOIQRS+oD//ZyPesO/5Jb9HZM3GO/n5U8m4lhcmINYzNuxmntX/LTNf+32HOHjs4J18Sb1jnBn34u8AHZjqflW0euj/T9TcN/Gj3j+JtY9rixDp/7DxPzHn3E0S020M8Pe4ylcZ3c9NjUwxyyW3yzPj3y5C/1klpIDEfem3s6sEWth2N0dh47RuLqmsIn1sanS2NMrPSxnfdW3mNrvmQtNsMbvlt1iY3OATpmLTNPjOSbhm5sbDV0TBnGUht73JjvOPvZ2fMPv5Df8ndPR+yTy/APh9zvxbDEp2NinloLk9QOrDNGjw8dC/PxobnE3rSR8bfob7F914cXgPMgdeMhJxkEnQ8kL/0kB1mKZj5grYNrkkui88GIPgosLQWZe2Qyz4OWgsl8vwSY64eRh55Y0BFbjNHwhVgYJzaKLy+i6G7bGesee+FCTNloo5v7FHPW4As2jtjuuFg/Y5ucYiM9882C67CbuqI/89zjJ2vCh7n8mJ/2l1gxlkbMMGaMH+x50beP6E9twLX9iZ7uJ2P4Zz2s0Y/N5IW1iWlJN2PtTzOIz53TvecC+11//YLb82VtHi4dTz6WzYXr9o2YiGWrNTsYorcbOsj5WoMdjCLHdbdZj7Me8mz0mr6e65nbirFzOWu1nz/8nHlBN/XJeBprkO133tTLPGPdmsOMeekZYC3jna+OpXX3NbqR63rjGkbtM2uO5Bq/0Uej5z7PRscUH/A3tuezOzmxhrHoi470e89N5OixCy98io/NjrHOCbHknZ2a63imPDZ6fimW9ifXyOFXbNFz389u/F/jxjwsomPpPs9b7NLv1TdrktusW9LD3B7frE+PHmJMTvCdGuzWzy1y2OCdkzo9oiNryA382Ht0nmaMeU8iM33ai3Hq6li4PhLPHu+uS+zhU+JZeoan3ayJb9QfY1sNm1OGsfZ1i9t8FvCXsbTmMv1DhjHWYG/N3y0dWUPu+7sPu25bMbRcrsM99+jLM4od/KXG833Iez3P6fx+Ti7obRuTY+y+Vt+2L7Xxz6/6BatvMXqBmecXT14kR9eR3EvXHNWt3O9JgBcTv2sbL625GbhWl+sk8G8QmM8AH0I+fra3IcDGhm/X0UZ+LpE/qvd3kWND2hvYa+J6CR3X2F1bw3eGn+2+COTwcl9e3b83t5wj7v7wwkkzp8ojqaCI+rR+ZI0yj0WAD35/1Ng08JeKHruUCBsJPnQ2CZyBwJFnIH+FPEM8Z/ORb1pvQvMX1Uu+XfyB7pY/uJyN2aX+vsTB4yV0XOr3ljz59g+zW4T+nTkPL9dx/60PLyDhgZ3//LaGin/6ZSNpk8AagWwUeHD4sZHjAHNrQ0dvSG7V53oJvBaBvWeADdIlfzR6LT9/V718o/K/M/EOyv8C8rvG+2/E9RIHj5fQ8W/Ers23JeDh5Trev/3h5TosrpKABCQgAQlIQAISkIAE7o2Ah5d7y4j+SEACEpCABCQgAQlIQAKLBDy8LGJxUAISkIAEJCABCUhAAhK4NwIeXu4tI/ojAQlIQAISkIAEJCABCSwS8PCyiMVBCUhAAhKQgAQkIAEJSODeCHh4ubeM6I8EJCABCUhAAhKQgAQksEjAw8siFgclIAEJSEACEpCABCQggXsj4OHl3jKiPxKQgAQkIAEJSEACEpDAIgEPL4tYHJSABCQgAQlIQAISkIAE7o2Ah5d7y4j+SEACEpCABCQgAQlIQAKLBDy8LGJxUAISkIAEJCABCUhAAhK4NwIeXu4tI/ojAQlIQAISkIAEJCABCSwS8PCyiMVBCUhAAhKQgAQkIAEJSODeCHh4ubeM6I8EJCABCUhAAhKQgAQksEjAw8siFgclIAEJSEACEpCABCQggXsj4OHl3jKiPxKQgAQkIAEJSEACEpDAIgEPL4tYHJSABCQgAQlIQAISkIAE7o2Ah5d7y4j+SEACEpCABCQgAQlIQAKLBDy8LGJxUAISkIAEJCABCUhAAhK4NwIeXu4tI/ojAQlIQAISkIAEJCABCSwS8PCyiMVBCUhAAhKQgAQkIAEJSODeCHh4ubeM6I8EJCABCUhAAhKQgAQksEjAw8siFgclIAEJSEACEpCABCQggXsj4OHl3jKiPxKQgAQkIAEJSEACEpDAIgEPL4tYHJSABCQgAQlIQAISkIAE7o2Ah5d7y4j+SEACEpCABCQgAQlIQAKLBDy8LGJxUAISkIAEJCABCUhAAhK4NwIeXu4tI/ojAQlIQAISkIAEJCABCSwS8PCyiMVBCUhAAhKQgAQkIAEJSODeCHh4ubeM6I8EJCABCUhAAhKQgAQksEjAw8siFgclIAEJSEACEpCABCQggXsj4OHl3jKiPxKQgAQkIAEJSEACEpDAIgEPL4tYHJSABCQgAQlIQAISkIAE7o2Ah5d7y4j+SEACEpCABCQgAQlIQAKLBH77w8vnz5+f/vzzz+fgP378+PTjx49FEAwih/xe++uvv57l3r179wTA9+/fP3358uUfy7ZsMTfl/7F452YvacS4J7Nj4lWnv3379hR2/+///b8X8bXjvZXvSwePb1t11/aoQerp1kYdYxfO99Q6T/fg1+TNc0n9pPVzfO/PVXy2l4AEJCABCfzOBG7ZS/znWjC3GL3EJpuNP/7449eS3oj8GhwXbF72NppsDD99+vTrUMQG6MOHD09fv379pe2IrV/CF168Fb8L3TosDpvv378flj8ieHYmifGlNsjw4JB9b+3e8rTHG3/33gf3xlh/JCABCUhAAr8zgVv2End/eGGTzMEiLZtmDh4Ezo+DSG/yuEZuqzE/NzRsxntdy6CTww3/4kBjLv/ykr/04kf+NYLrrYbfP3/+fNbJNev64DQ3ZNjvmDnQdcz4g/+Mr3Fhnn8RYJ6ee37onS265jj30U8fRlyncU0s8OIaW8TaDWZhhQ7mW8elfJdii2/YhVWzmfySw/axr/Et9YLeHH4ZJ47URfLGeK+Z/nWusZN4WRNu0YFv+N/1hc1ZY11PrCWvXSOTAfP9bHW8ud7L055O1sOGGsBn7BFr1wf3jBMPfs96Ya5rn/kt3p3LMKRnPPlJfDMv3NskIAEJSEACEnhdAnyXr21Xr7zF6FFn2bSwkevGRqc3i5GZGzk2O3PD3HqYnxvInucaW2x22KD1wSVzbIZo9PCID9jFxy37yKMzG2J61mTzNDdZ+JINdzaMjKVx3Zu6yYU16I+9+Mh61jHfDX1b/jMfXdNXYusNKH7DOw1exI6PNNYj3zWF/qN8E0v8SewdL7kJP2xyHf3xa6vHt+jHN+6TKzbS2EqbPBJf1se/3LOO+FM/4dI8qFUYZo6+GSe/qWnuc0CIX/iNjeSaecbW2tE8belsHfEdm/jOPb7kPvlAX9cL18zFb7ht8Ua24+rcsTZc0dc1kjpa4+G4BCQgAQlIQAIvQyDf4mu03fXhhc1VNnQJjk1JNjkZYxM0IbB2ykWeno0KGyg20chlI9oy2GJ8HlyQaT9Yj65ue5vj3lBlHZvgbLp6kxVfI5eejVdvCGe8zWVNB7pYB6801hHzVsNPfKS1r9wTW/4yzn37wT2sspZ7GvKdw0v4wrr9R19sxg4b4Pbp/6we/2/nC9+w2a1jmjyQnfXFfW/Q0Z/NefQ2j4x1jx+Jm3761LJrOSXP1MZS65gy33k6opPaWnqGOxfz+YHfXv3BJn5P3uiDTVrnrmW3nomstZeABCQgAQlI4OUJ7O1xtize9eGFTQi/bmxK2IDMxmanx7nuDcyUzz2bSGywkeQw0JtM1rOBW7LJWHyjn7YYy3xsdb+UNDavGe9N1los7Vdft53mwuaWeza62fghyyaUONPYbPbmMuPdt732FZneLGZN4sp8xtN37IyhP/z2+LYv0UffsWejmoPEPCj0uqXrjql9i2z7MHkwx/r5Yzyt+ayNkSdyR36isxnlOuu7j0/TB+6ZW2pLPnWejujEp+lXs8Iu880ietsn8odcarj9nvJT35Zs9M1nom17LQEJSEACEpDAyxJY2mMctfBbHV56Q86GpjdER4CwngNMGus5zLBhYyPcG17msimbmyXWM5b56Ot+KWnoj/3ekK3Fgg/M0fq67eD35IJfjHdMHN6QwwcOMh1r68t122tfme/NYuQ73r7OPPZ6/BK+7Uv00RNf+HCPjfwLBZz3Dmitq2Nq3yLTPkwePRf52Xfsmesx6hCf2WwTAzbaj716i3x0H+nbfuQ7T0d0Lvk1eSDDWNrkx2GNmsyhmjrtfEz5qW9LFpusZ818JuKPvQQkIAEJSEACL0tgaY9x1MIpDy9sNLrxF+ls+jO+tbFijo3KUmuYvcnKX7yzZm4ce/OFDD5OP7OWvjdUGWcznf+VqDdkbNb6X0YiT8zETmt/Mr/EJXP0bAbjI5tjNsb4wPheazbtK+uWYmuuxMKabthtmY4HH7f44nfiiE5iX/Ij870Jz9hW37rat6zZ4pEDR2SX+o498z2G/v5XQWSo4cSdQ1nWzn6vFqY893t5OqIT/+JjbDQrxphnLG2pnshXWnKXGpryU1/nbspGZ/p+JjJmLwEJSEACEpDAyxLoPc6lmu/68LK0kWaTw6Y9Gzk2UGzi5oZ7adPUcLLxy6YIPWwyexM1N1nc518xuM6mbG6WsLNnn6ThQ/Sxqeq45iYLe/iHv/yWfO31kwv6sMc4LfMwTmO+ZTK+1Deb6WtvFrO2i5SNdtthPRvllrmEL+uJnZ6W2HoMfdhN43rpQJj52XdM7VvkmgdjyKe2lvwjf12zHXt09hiH2tQb8bGe+DKGLe4TI/czRnxMDWGDZwgGqYnYTc/6I3na0rn0HExWyDCWBq+OvfPI84JPPca65j31oTvvi9bNdceXuulnIj7ZS0ACEpCABCTwcgT6O3+p1rs+vGQz0UGxEWFzwWaOwNnE9CYwsvnfoHI/+94ARk9vwpCfm6xsnDKXjePcLDHPWOanbe6xmc0T12wie9PUmyzk2YwmZuSXfN3jgj85JMBt+sd9byKX/M5Ys5m+JrbI0jPWDVv4wDi6YNsyjMW/Jb8Yyzx6sxFHR1i2j+hvfrEZn5ZsZI4evcRJa98i07Yiw5r42P4t1WzHHp09ltpjjPjQS76pg7SWQW4+A9QQ8szxY+POmq2Gna087elkfRjEzmTFPGNps56IM3WLz7Akjn5eWE9Msdf6GGMudrlOYy66l54JZJP3rLGXgAQkIAEJSOA2Av0tvlTTf7/iF668idbeGAAAIABJREFUxeglptiArf1leE0PGyo2JI/UsjG7Jea5IbxF17+9lhqgRultEpCABCQgAQlIQAL3Q+CWc8TdH174y3D/dfkIdv6a+mh/Lb318MIBkb88n7HlXyByUMm/qvVf388Ylz5LQAISkIAEJCCB35HAb314IWH8b2F7/3tLEpuNa+4fpb/l8MK/bnFw6f8N52zcqJH87030HHhzmDlbLPorAQlIQAISkIAEfmcCv/3h5XdOnrFJQAISkIAEJCABCUjgkQh4eHmkbBurBCQgAQlIQAISkIAETkzAw8uJk6frEpCABCQgAQlIQAISeCQCHl4eKdvGKgEJSEACEpCABCQggRMT8PBy4uTpugQkIAEJSEACEpCABB6JgIeXR8q2sUpAAhKQgAQkIAEJSODEBDy8nDh5ui4BCUhAAhKQgAQkIIFHIuDh5ZGybawSkIAEJCABCUhAAhI4MQEPLydOnq5LQAISkIAEJCABCUjgkQh4eHmkbBurBCQgAQlIQAISkIAETkzAw8uJk6frEpCABCQgAQlIQAISeCQCHl4eKdvGKgEJSEACEpCABCQggRMT8PBy4uTpugQkIAEJSEACEpCABB6JgIeXR8q2sUpAAhKQgAQkIAEJSODEBDy8nDh5ui4BCUhAAhKQgAQkIIFHIuDh5ZGybawSkIAEJCABCUhAAhI4MQEPLydOnq5LQAISkIAEJCABCUjgkQh4eHmkbBurBCQgAQlIQAISkIAETkzAw8uJk6frEpCABCQgAQlIQAISeCQCHl4eKdvGKgEJSEACEpCABCQggRMT8PBy4uTpugQkIAEJSEACEpCABB6JgIeXR8q2sUpAAhKQgAQkIAEJSODEBDy8nDh5ui4BCUhAAhKQgAQkIIFHIuDh5ZGybawSkIAEJCABCUhAAhI4MQEPLydOnq5LQAISkIAEJCABCUjgkQh4eHmkbBurBCQgAQlIQAISkIAETkzAw8uJk6frEpCABCQgAQlIQAISeCQCHl4eKdvGKgEJSEACEpCABCQggRMT8PBy4uTpugQkIAEJSEACEpCABB6JgIeXR8q2sUpAAhKQgAQkIAEJSODEBDy8nDh5ui4BCUhAAhKQgAQkIIFHIuDh5ZGybawSkIAEJCABCUhAAhI4MQEPLydOnq5LQAISkIAEJCABCUjgkQic5vDy119/PX369OkJh/lx/eeff16cq48fPz7xO9q+fPnyy2Zsv3v37unz589P+JTG3B9//JHbf/T4yTy6bmn4fauOI/anHWLFf+LG/iX89uyhr2OatvfW3/v8jO/e/W3/bvWdmvnx48ezSp4VcssYz+5sPCPv37//NYztl6wzFH/79u25hvHh58+fv2ytXbT/r1WXr6V3Laal8WvjfOkctR9LfvZ7aGn+0jHYpz4vXav82xL4/v374nvjqBcvXatH7V4jR03yLKTN9/Dec5J1R/vJpp+L6ctRnZfKYZO4+sf34OvXr/9Qxfxr77P+YfCVb96K7yuH8a+opxaubVevvMbohw8ffh0Y2AjxIevNzpEg2LBQ+Gyejmxe0DlfHIyxFh34lMb1mj/4mo1/5K/p/62NDvnqg9o1vq+t+bdiWvPnpceX6uelbbyWvpf0nZd0Py/T5/kSnx/UKX/NPbXGJuhoo+7xi/Y712nHeZTNa8jt+fHS76E9e68RozqvI3Dr++DW9dd5/TKr5rvnteu29c/38stE9L9aiDHv2szyrs6+L2Nvsc+Krbfo34rvW8Ty1jao02vb1SsvNcphYelgwNjRQwhBcnChWPitnd4njK0NHA8cf82lcY3O3Lee/EsNurYaBwQORfDhx4Pa8fVLLAc4dCMbG9HPPP5EF9d9AOHFAD/m6XtTFzt5sKIjLJhPwz/8jAz+tx109HzHhJ6si87Yjn54rvmZD1IOh+jieqvd4i96scFfgxLTXg2GWftIjPNfDZFLLtENt7XGHDqik3VwYjysJgd8zhwxzDzBBZ3MoS9+06dNGWx0riOXHl34hA6u85uxcZ+5XtMxMj5jusSf1o9eGr738zafkfiCLGuaxVpdpr7CgB69vTZj8T9z9JfGzJr82mZfx6cwmLlfi3PPn8zH1p4d8pznBpv9LkBH+xGd9LM+sEub77D5V9qtmg8LevRhI3UR2zM+5rHJ84HvNGqo37Ow7Wd7+tjv2dhJj6480/iFna55fIxPzEfXtDE5RH961qb2YmeuSb0zHx/27OAbPrOG9dhI2+OEPHbyPKIn31L0ojO/6Ox+j124ZU3XKraY74YtmKRel97zS/GybqkRV/LFfP5vjJZlDLnUO3NwSdxc04741nq5bl+JCRtpzSa26BmPL/2+ww94px3JLbHDOc9N1qZHZ/uUcXSzLs8UcjxvqY3I0SNHDeH3VkNH55Z79LOWuGeuGesWJhmbz9K03+ziY9ZOXXsss87+/56Dazn8M6MXaJnFcMHSf4hSZP0Q/WNy3FCc/eCkYIfY/9xSiLMYI8QDycuGhj4Kkb5bZLb0RJ61vYFiLTH2gxtfePiwnTn6fuh4EFsX11mbF0JeFjx8PFRp+BFZxjpfjCfG6MmHj/u8FKILvcSRxvowY2za6nv8Y338nPfowjdipSUO+qX2Ev5irznDteOZdvExLyzs82NN12KYJpfEuVXbzOMH62jwxQY60cGP+3Cgb5/xAZ87b8j3PT4yFhthl49G4sj8jJt7fMRXGn3qZkk2MWUOvVu5vcYf7Mcf7HBPnOhKPO1j+894YkUHbKJr3s/ckZfON7Zz33qPxIzurTyFX/pw6jVcxz5ya3Hu+cN8eB2xA7Otd0H7Ef+7Zz4N5rBIDqh5Ysr9Xs2jp+2xLrHERsfHGPOplzyrjPH+IX4abKMnTNonGKw11m6909FDzDBEN7+MxcbksGSLuPExa+hnbrCT9yo69+zgE/zDhfdEOODDFqfM41fqg/XNauZixrXHrtcnL6yhhRkyafgCg7xDyXu/51nb8YYP65Ya8YQn84kv8TKGTsbR1Xpgd4lv035iT27iKxxomc86bCNDiy/4kJoj7rBD5khu53MTW+nREZsZSw+32IscfTc4kh9iaVYtk2vWklt4EFPusw57nevOBTrCJPqaB/q4Tyz01HHusQmL1MLUhS/MJTfEPWON3UfvZ14u4bH8lB7QcIvRqKfQUgAZ2+qR58WQxjVFtNdYl6KeshReCisx5aGILA8BD9aWHmTzsc26pR5ba74gz3wecux2vK1vz9a0k9jQgf3EjK0jDNs2zPqjNG31/VIMbRNf4N0Nf9YY9dpes3U9/YVFc+Vl1HymrubVc/iNbhrXeVlFhtpOLjOWnnUz7ukXHPvDmLXp8SsvaOJJTjNPj42wRGY+b/jcuey1XONTYqRfspE1zDdH7M4YO7fX+IP9+LP2DBBPPvLtP2vDYq8u4ZQaQRfy/JJj8hKWrfdIzMlZuNF3nnqc6yM1vxbnnj/MJ6dH7EzfyEXXT/sxZbnv+qAWZn1zv8QnuvC359veUn12fOgg1rZJbtmozMYY9bVWY1N+6x6beQ/g47R3DYeOO7bnOwCZ1Csye3a28r/HCf3EiY1u1HWe15mLllu7bna9fsnXmSvizzOMfmJgLA3fWNMN+ZbpOVj2+4xYkc97AFlyixwxtx7iwP+0Pd8ilx67nUvGsZu6ajbMoT/c4wvxp3WtHM1tPzfR0z0xxmaPc41/iT9ciKl94rnGRstOPbnHVueWNZ0b/OjnLDazPkxy39+MjKXHr7aV8fSt6wjLrLP/5/fgUh7/fZIvXDmL4ZLlPIQ8+PNFt6Vjvjgim5dF7pf6rYeBwuNBoCUmXgh50Nrulh7Wt64lPxibLzGKHXu8iJjDh9jOyxhOPNTz5cU48bN+voSnncSGD+hPzHsxJY68VHiQeUm0vmmr77mGS7fm1L5EZsunrbmsp9/yF9+nTx1P6+F6zSY5Y47G+qVf5qfOZpC56VdzRIb88xJFJ3O8cOlpR3xEZslHxtZa+7Tkc69jvnXFz5ZpP6/xp+tpzZ+Waf8ZxyatZeJf6+M6m2SY8+M5y0eMZy/PXOs9EnN8iF36rqUe5xr5pTUttxbnEX/w/6gd5C59tqafuccufs9f/EFuq+aZ77g7f7Ex40c3cmlcT/u5j9zWezZ6ut96py/5eIRD6+caH2eDVY/3NbJ7dljP9ySbtd5YHuGE/lmnzXvmYvrP/Ra7Xs/1tMX6jpnr5DC25nzG00+GGU9PPP3cM55NMr7nnRFeva793fMt69Ijv/SLTnp8S2v90xdkGIt85pf0M0frPMbG7Ldk8C++Yod27T6LtdPWjD8xxcfYzP2c573Ovob3cGKO7LSV8fStK9dbLLPO/p/P66U8/vcNeFDDLIaDy54ffIohm4Cj6yj0pYJgLA/Fmq5+cKYMfuSFk5h4CeUUj10Kmralh3kKl9i2GvPxl00AG1A+jtjJ+syjh5cpc8ggO7mxBnleoPyQp7Ud7hMb18jHT67b3vPi8Z/oRg6f8aH1TVt9zzU+dkucjLUvkdnyaWsu6/f8xffpU8cTPenXbFIX5Ia2tT56um8GGZ9+NUdqkvxTq/jDeuwjQ9vykbktmefJlf+0T0s+9zLmmwN241/k2s++zvxe3/W05k/LtP+Mh0XLxObUl3cAzx782bRwTaPG0lrvtTGTy/gWvemPcFqL84g/+E87YueaZytx0Hd9LOWgZfdqPvrIG23mj7EZ/7S5tOZZ2fgPcuhK/HnPDrHn9+PWO33J3vRp6ly6b46Zxydsp02Zo3Z4v1OP1H/qfcnv2EmPfhh1a5szFy3H9d73sNdzPW2ho2PmGr+7zfme4xqGLTPned/zozbDhncy94zn+4zd1jPZ7Pk27bauOcd9s+G+9U9fmO989vWSbsY6j9fIwGp+K2GWdyxz1BxtLbdtd/oz458xT35zHt34gx7yyXPUh1Tk11rr4hrfbMcIzLwcW/V/Um96eKEYSGyK4hJHKfKlDwZja3PRv/Uw4E9eOA2SAuZlim6Kmralh3niysMY27PHHnpoXGOjGx/HzPc413sv1t4AtR3WdmzoZ57GSyMv4eeB8R8ext6oMY3PrW/a6ns4hm9Ut832JfOMrTHotZHv/oi/+I5ct46nx7le8pFxcp1a7uu5fuke+8lB5qdfzREf8nKPPPfRAeNcZ54ev8ISGfJxSWuflnxuXcw3xyVujN3iDzEmd2vPGx+ePLPtf/Pcq0vi4rmg1rv+0cFY56L1HokZ+dk6T3Nur+aRX4tzz5+e37MD92aB3fkuaD9mHPEz472hyVj3+Nacmeua577t4R8cu0152Kd+kKNOesPfa9eu0YlvSy310XP9Tsf2zP8eh9aV6447Y/P5RqbbNXbwHZ+PcCKuyaV5d621X7neY9frl2p1vg+WGDUTaqVrAT9g2DLxLT0cYIJ9ZLOGa8azR0Fv65ls9nyLvfT4mm9NxrpvNoy3/ukL84zhE+1obier58X1n851DT8zme/kzF+zz2LttDXjnzHDgzjT5nsr4+mZD5+lb0Xk6NvWEZa99tGv+xm5lMU/324XrL7UKA81xZCH+wJTzy8JXrxrjY9JXiRLMhQ2v24UGUXJCyetY6J4mUsBI7OkJ2vTI4+viRM9/eAyH1+wn2v8YR2yGUOWl2Qa1/k488DgXx5Ieu7Doe2wvmNDP/M0/MRm7HDfdvJBiB3iwYepjxyktW38RD89bd63L1nPWBhkLP1L+Ivv8Sd6O56MpccX5uGCfX7kqmsHmc4H3LiH11LDfnKQ+elXc8Q29RL73MM1OhgnL4zT4mPXE2NLue444kv69mnJ58ilRx47NJjEv8wzxo92jT/o69xxn+ctMbfN9p/x2EbHVl3iX94B6E9L3nsj0XqviRmdnafYSr/GKe8C5Nbi3POn5/fsHHkXtB/xv3vm02YO8g7Mu2Sv5tED+37G4Jh3IOPY63rguusnOlJD3LMOtviDbD/X8z2bWNLvvdPR1/6wbo9DdHdPXPiVOoyOZtGsj9ihFppDdObdj98935zQzzw6ujVv9G29a/bYbdVq8tL2iR+b3ZoJsp1bZOe3rdfmmjW9LrbxPw1d01bqGpk936In/fR1fl+aDWvgnlqYvjDPGDJpXO/lljVbrXMdOdbAasaeeXxkvn0hFn5bbdqa8c+YyQ3x0fIe6/z0tyDfkcijq+fJN3M937r2WG7F9Whzze3S2P/7Jblw5aVG+RCxZulHcdBmwcUliiEv6Yx1TzH1h7znuKawp12KkQeKQk2bMfWHMHr2Hir08aDEHg9mXiLoIJboyAsIWfxnnA9vHgrmW9fkgHxetvgavdMO9x0bcuhKaz+Qw2bzhhP6ew67cKcRX+a57xi5J6b4Sd88pi/IM9axMNbtVn+JIzUXvc0nY+nxBQaTQ9cOssiFA3FmExU93WO/c8Dc9Ks5dl1hgxqBA3bSuGcNepAJx2bZMsiR6xlH9E2flnxuWa5jP7ZnjBnPukv9QV/nrrkQD1w6nmbK2maxVZfxD46dR2q3mSfm6KW/JGb0U1eTS+ynhxPvEuJJ3hhLW4tzz585v2dnPgPIwyPvgvYjvnXPfLfwZDwsMt+5ZW6p5vGftWFOrpBljNrG38yhl+uuH8awg27W8INzs8UGMTKHbu7XWvNjDbL4hH7a2jO0xWHJFr6gKzWBra5T1iAz25adcAg/dCKflnn08pucYDvZNO98p+N79KbfY4fuzmXLL+VlyQ5j3dCZeBPPlGl5rtnLwKYba5s/uWk9cIwd1h3xrfVz3b7OfE823GMj/NsXdM06PJJb1mw1bGGnf/iZP6hl7fQFLs0O3/lttcQVmRn/5E+t4Au2yVX2o1lPfhiP7/M7gn9Zj789P23tsYxN++V31FEu/3ySj65aeTFesFxRCUhAAhL4mwAfzt4oCkYCWwTmBnBL1rnjBLKJPb5CSQlI4FoCt7zHPLxcS911EpCABC4kwF+fOajkXyr4Kx1/BeSveVzbJHCEwC0f/SP6H0GGv573vwrkX3L2/ur/CGyMUQJvQeCW95iHl7fIkDYkIAEJ/E2g/xcEXt7zf9MUlAT2CNzy0d/T/Sjz/LGAZw+W/Pjfgjy4PEr2jfMeCNzyHvPwcg8Z1AcJSEACEpCABCQgAQk8CAEPLw+SaMOUgAQkIAEJSEACEpDA2Ql4eDl7BvVfAhKQgAQkIAEJSEACD0LAw8uDJNowJSABCUhAAhKQgAQkcHYCHl7OnkH9l4AEJCABCUhAAhKQwIMQ8PDyIIk2TAlIQAISkIAEJCABCZydgIeXs2dQ/yUgAQlIQAISkIAEJPAgBDy8PEiiDVMCEpCABCQgAQlIQAJnJ+Dh5ewZ1H8JSEACEpCABCQgAQk8CAEPLw+SaMOUgAQkIAEJSEACEpDA2Ql4eDl7BvVfAhKQgAQkIAEJSEACD0LAw8uDJNowJSABCUhAAhKQgAQkcHYCHl7OnkH9l4AEJCABCUhAAhKQwIMQ8PDyIIk2TAlIQAISkIAEJCABCZydgIeXs2dQ/yUgAQlIQAISkIAEJPAgBDy8PEiiDVMCEpCABCQgAQlIQAJnJ+Dh5ewZ1H8JSEACEpCABCQgAQk8CAEPLw+SaMOUgAQkIAEJSEACEpDA2Ql4eDl7BvVfAhKQgAQkIAEJSEACD0LAw8uDJNowJSABCUhAAhKQgAQkcHYCHl7OnkH9l4AEJCABCUhAAhKQwIMQ8PDyIIk2TAlIQAISkIAEJCABCZydgIeXs2dQ/yUgAQlIQAISkIAEJPAgBDy8PEiiDVMCEpCABCQgAQlIQAJnJ+Dh5ewZ1H8JSEACEpCABCQgAQk8CAEPLw+SaMOUgAQkIAEJSEACEpDA2Ql4eDl7BvVfAhKQgAQkIAEJSEACD0LAw8uDJNowJSABCUhAAhKQgAQkcHYCHl7OnkH9l4AEJCABCUhAAhKQwIMQ8PDyIIk2TAlIQAISkIAEJCABCZydgIeXs2dQ/yUgAQlIQAISkIAEJPAgBDy8PEiiDVMCEpCABCQgAQlIQAJnJ+Dh5ewZ1H8JSEACEpCABCQgAQk8CAEPLw+SaMOUgAQkIAEJSEACEpDA2Ql4eDl7BvVfAhKQgAQkIAEJSEACD0LgNIeXnz9/Pr1///4Jh79+/Xpzer5///706dOnm/W8lAL8OZqMz58/P338+PGlTL+KHvwjnv6Rv87djx8/nue/ffu26APjrEfu3hvxfvny5Zeb5Ajf37179zz+b+br36h14u28dR7h1Kx+QXuBC+zYJCABCUhAAhL4fQnc8q2/epdwjVE2O2wIX6qh79/cUBIHmzt8+Ouvv56vP3z48BweG/zpW8efa9bB5CW5vBTfuXlFL5toYoy/iX/tEIksm//eBL+Uf6+thxonP/fQ/o1aJ/61vOEPv9do17xbXsMPdUpAAhKQgAQk8DoEbvnWv9nhhY0wjuYHCjaGf/zxx68xNsB//vnnL0pcM5Y1/NU/f+Fn45RxetrShgq72WSxEeM6vrARp9HnX4TmvyxELxtw7LCWf0Hqhl428/jGejbs/KYca5BBNn6glxj3NsnRjQ/YiO/xI3Eyn4NF5tJzoEqcyO3ZRefS5hVf8Zv8hCl6O3fYJH44rOmJX/SzFqiLZoIOYu56Ic6WmTpmPTHf9TRzFIbEBJ/8UlfMpyW2yOyxRCf2Ir9kG5luyDKG/ayjTyP+tbok1p5HrusiMXZdEV94tj3s0+IP12HSNljfNTB5z5xGz4wBO+jtf+F7duDp6Xkcn9Pap4zZS0ACEpCABCRw3wT4fl/brl55jdFseOIsmx02KdkwzX+tYEPImsyz4WKjk8ZcbyinfuSYZ5zG+mz80ckvY/Q0Nl9sLHPPhpn7bMrYOLXN50V/b9QZz8Yr40t9H5bmIWRJHl+IOz7Ne9YQVzan8bV1sdlGJgcqYofv0gYx64gnNjOWPptL5sM9nKfMlp6W7c0t160PHfifjWvylJjRg8xWPTHfNpKH8GK+bXaNM848DXbkI+y455o6WWvId67RB/80dE/W2M9Y22cN912X2McGvtC4R39io+/8oxf92GUNP/QlJnS0/XmPfeyFN+th2wzQHd6ZD0P0zRjwCR+xm/wil4YO5m0SkIAEJCABCZybAN/6a9vVK68xymaFH21pc8I4m59ssJeCwm7m0TU3Q9GftcxnjM1Rb66QYXPVm0rGuM/Gks0cMlsN/WyqWId+NnSsycYxa9l8oRefopd71jO31pDJpj0yWZ97uGzpiFz32E2cPZ5r/MzmOWPpWcuPeeSyOc48fTbTW3oivxRj5ujRgb1u2Ewd7tVTDm+9fl5PG9GNHLaZp032U8+Re7jBJ22JEfbDv+2zhrWzvo4wxHcaetHfOubBvO2zpu+nP89K/z5Eo3uNd/vNM5P4sh4fsEODSZ517pnrw2rW2EtAAhKQgAQkcC4C+dZf4/W/dnjJ5gnn5683NGxe2ChxGOBggGzm5waKe37dekPKumxAI8P9tM995DgQYDcbw97soSM6keM6fxnmIBMdsYVv2XxxnUNRj0e2e/Qk5ozHbu7xea/hIxtA7KGTjeT0sXUs2c08Ovi1HzCKn8Sf+KYe7ps5OrPZZQ1r50Fs6ogf5Aab/FpnX2ceHVuNeWJKa6Zhxlxij9zRnrhYCyfqpPUvxcc8vsdm+99rY3/6Ra1yWKHmWMsaZGjhlbUZmzZin/npT3S1DmwxzrrWFRnGonMpBvKecWo1NcR6cj2fv+i1l4AEJCABCUjgPATyrb/G4/0d74rWa4z25mptc9Pm2AixyaNnI8MGF7vZ/KCvN0itP3qYZ5y2ZLM3U1mz1OevvvjTG6qWZXN6lEs2lL1+7XrJxxnLnl02fRxW2DjDg/V7PizZjY8wYGPcfvRmEzvwoG3piT56Nq75Vw18RV/amg42tNRF+5E13e/NI4uN1Ar3zZRx5mlct9zz4M5/8JMf6+BCbK1/KT7m8Ts2Y5/7XhvT7Rc2YDjzFL/RO3VMRm0/Ntuf6Ip9empq1kXPd5zTPnJ9eOE+fwyYvrVOryUgAQlIQAISOBeBpT3A0Qj+tcNLNtNbjhJY/wU+G5veQPWGjs3UPFhkw4idpQ1QNndbfsw5dMaHOfca9xwEeiOPjWzyY2+vCGDDxrLbtYcX8sDGmBxOpoznX1FiqzesGdvrk+vIoWNulruG+jprup8+9Vyup41miu3U2mSf9Ws9jKiZbvOgi+7OceJPnbV99IR/6+w6QV8Oj5GZz0LHh8zMJfOxz3zfT39ig8MGrNd4t9/Itn50zEMdNcoYz+mMJzbtJSABCUhAAhI4F4G5B7nE+3/t8IKTbLDYlLBRo7E5YUPDRpTGRiebGzZDbL56jLneFCLDPD2NjQ9wsulFPhvQZ4G/N2ytE9v4lI0+a9tHdCAfH6PnNfvYpKfNe8b2ioANN5tbWPPjnjgmj46DudjMOPcwDx/uWwfjvUlm3ZKe6EuPDD6lcZ2/ujPGPP5mAwv/9iMynatZT+iY851L5lMr6GumvVmHH+vib3i2v4mDPhv51Ez8av3oIp7kB1+YD/9wj178QT46WY9PrKeR68SCDHEznzH0tX3WMIbdNK7Dm7H2Bz3cYzc+YwOf0lgf3shw3foTc2LAPgzbL+ZYs8Y2tuwlIAEJSEACEjgPgf7WX+r1v3p4yYaGAPix8cnBg0D4i2s2M8yxkWIDlL9Qs7HJPBsfWg4sbNS4ZuPTG7bePAVWbyazLnPxkXF8xF5v6CL32n2zWPJhrwiIgw0tcsQCx2yq13yHFfL9wzabzrS54UUn8tmQIoee5CfrZs+6+Md61nQtcA+DyMw8oS+5ir+znpoBMqmp+IKN1ApjyKQxznwavrE+tvCr/Y1cemoxNRRZWIYTvqEffYwTK9fhtlbr0cnatt/+oQ//0Uneaejt+DLWMbIGmYy1P8wR04yLONImb2z3PHLomTFMv7CP3FJrn5bmHZOABCTLp9heAAAgAElEQVQgAQlI4P4IzG/9JR7+d3d2yaqxsbtwqeISuJgAG9hs5C9e7IJTE+hD3qkD0XkJSEACEpCABJ4JeHixEH57Ah5efvsULwaYf21bnHRQAhKQgAQkIIFTEvDwcsq06fQlBDy8XELr95DlfyfjX136f4f7PSIzCglIQAISkMBjE/Dw8tj5N3oJSEACEpCABCQgAQmchoCHl9OkSkclIAEJSEACEpCABCTw2AQ8vDx2/o1eAhKQgAQkIAEJSEACpyHg4eU0qdJRCUhAAhKQgAQkIAEJPDYBDy+PnX+jl4AEJCABCUhAAhKQwGkIeHg5Tap0VAISkIAEJCABCUhAAo9NwMPLY+ff6CUgAQlIQAISkIAEJHAaAh5eTpMqHZWABCQgAQlIQAISkMBjE/Dw8tj5N3oJSEACEpCABCQgAQmchoCHl9OkSkclIAEJSEACEpCABCTw2AQ8vDx2/o1eAhKQgAQkIAEJSEACpyHg4eU0qdJRCUhAAhKQgAQkIAEJPDYBDy+PnX+jl4AEJCABCUhAAhKQwGkIeHg5Tap0VAISkIAEJCABCUhAAo9NwMPLY+ff6CUgAQlIQAISkIAEJHAaAh5eTpMqHZWABCQgAQlIQAISkMBjE/Dw8tj5N3oJSEACEpCABCQgAQmchoCHl9OkSkclIAEJSEACEpCABCTw2AQ8vDx2/o1eAhKQgAQkIAEJSEACpyHg4eU0qdJRCUhAAhKQgAQkIAEJPDYBDy+PnX+jl4AEJCABCUhAAhKQwGkIeHg5Tap0VAISkIAEJCABCUhAAo9NwMPLY+ff6CUgAQlIQAISkIAEJHAaAh5eTpMqHZWABCQgAQlIQAISkMBjE/Dw8tj5N3oJSEACEpCABCQgAQmchoCHl9OkSkclIAEJSEACEpCABCTw2AQ8vDx2/o1eAhKQgAQkIAEJSEACpyHg4eU0qdJRCUhAAhKQgAQkIAEJPDYBDy+PnX+jl4AEJCABCUhAAhKQwGkIeHg5Tap0VAISkIAEJCABCUhAAo9NwMPLY+ff6CUgAQlIQAISkIAEJHAaAh5eTpMqHZWABCQgAQlIQAISkMBjE/Dw8tj5N3oJSEACEpCABCQgAQmchsBvf3j5/Pnz059//nkoIX/88cfTX3/9dUj2y5cvT+/fv38CIL9Pnz49/fjx49darhsu1z3/S3DhAt0fP35cmLlu6BLb11l4vVXkAxZhzDV8bmmsj46Zp1v03rL2+/fvT9++fTukgnqm9tbaS9fPmh3G93zZWvtvzc2amn7MmF6DJ7l+9+7dc13//PlzuvA/9/0Mv8Qz8D8Gnp6en7M8F0vzl45dUtNTNzngfRxGef6PvkOjDx94N6fN+4y/ZP8a9YJ/r6V3L3aeF2z39+7Dhw+H31fRP58rxqnlS3MafUf7fnaOrrknuXv5Rt3ChBjI9Wz9bM65S+9vzXM/X5cyZy2/371dyuU1eZDva9vVK28xeomzgOYDeLQhf6QA0cmDmE0HL/dsRtBBu7ckx6+jLO5FDr/5UL5ku7cXDfVzSYx7tUV8Sx+Kl2QYXXu+RO6e+r2amjG9Bk/yw0b6aOsPM2uPvKeO6n5NOTYn1PcljfcqhxZiZMNLQ8fXr1+fx8nP0TZzN++P6rlEDp9fclN2ie2Xls27iXjyvcMGtcth5pI6nM8VerquX9r36ON73b5n/Cz9Erez+B4/iWF+k3hO+OPyS7Vba+mWd8OZ3sm38L6nWrzlHHH3hxcKKh8/EgZ4NokEzY/r+VJjzdbHlkPK2kaTF3oe0JnkfrCQ4aHlg8A4H+r+q/t8iPCx/Z4bAj7q/VexOd+2lwoXe/kLJ3bwPW0ygg22wmjPNrEiE/+5z0sLv9A1cxDb+IVMfvjFesZp4QTL+D9fhuhmDTqyIWJddCzlqf2d/hE3H8P4xHXnHb/yYUeG9dxvNXzp/GfzExvoyHz8zVznKjbCJfeTAYySP2TQkfygd+Z8rp/stnxBP74TA3KTR+JpGfLV/k3m1Hc/14mz+64J9KXG8D3+0k9+8Scy3Idn69yrs8m4fYtuenyjEWPeB4xTV82AsfjKmuSAtc2u+RIzueyG3l7LHGPJceauiZk1+cUmtR+dGetYMtZ9x9DjXPNs4m/aFjfsYiu/eY+Ozi9yeVY7110/rEEPYy3T9UA+oifyeT9NXYkjffKAL3lfZS52c78kiww/Wmq56wP7XVfRtdbDumNrOeyTq25tq/MYX5KLeR+f8Y9r5GIXO3k/TSbR03ZnjDxXaUvMMjd7dKOLXBILPtEzngbLrgP8i9+RYd20Sx2nxU7u6WGAbVpizDw2yUtYzvfhtBW2Wb/X41vixQb6UzPxZYv39A9fYZh4Yh87+Epjzdb7L3mA73ynRR++ojO1QgzRHxlYoANZ5DqXe8zX/MO35CIxLvm7FyP284uP6Olv3WQ7c58406MvuUInurb2F6zbqp8j+Y/t1+5hfm27euUtRo86S4JmkZO8+VEh+d0ofn5rLUW5Np/xJDn3xJwHBR3cxxeKC9/S+iGiWJmLT9znAUWeQuuHNA9I5JFp27GRPrbygOAj+tBDSyHnHl7x+4htYkUf+tGRe+zSeNHPHDxP/P0f/GFNGtdZS09s+VjgD6zoadib7HiRMhYd6EdHGtfNE/n2j2vGwgPO6IuPsYleWnyK/qW+eTOPDfyLDXRhI236nPH0rJ3+UGM0dOJ/4mcM3ckp98x1zDxHqSfW90t/z5f4Tk9buoc5/qI7+mOPNcyRY+ZozCW+54HxH/zHx9R0cpT1+LC1nvmuCfRxv1dnW4yHi8/2w4Q5/Eld4SfX7SP2I8948scY+cvcvJ+1BRd+3XLfeo/EjO7kKT7jS3yLDeSONvyPP0fW7HHDl+Y477GHf9Q/MfBDBh/W6of5rXpov9HbuqiR9qdluUa2mXKf3Lbv+LnHn3X4ib3E1vqn7aV71rP2SMPeVi3Gn9bVdc04MeU5yzcDnWHCGDHAghadR2Ps+Imr+bZf0Y1t3oWzFvq+5xknhnyD0JMc4GvrzTuX8VkTnevE+Lz4wPvwkhijMz1+t/8wIr7wjy9bvJnLuwy9rIXjjLG/Mb0Gm/P91/NhH5/Tw7l9R0fbCNOsJxbkU9+ZR1/ijO62v+ZfapI1LR97Pbakg/Vwomc+MuQzDR3XfgvjB0xiA73Eit20rfoJF/yIjy0fHW/Rk+9r29UrbzF61FkemLwE19bMpCHHw0ti1hq+k7S9liRHjnWM0VLEmaPnIco8hRUfiIOH8JLG+n5o2/bU0w9v5uCWlxVjfHDx4QjTaZs4sqlDF/PYTCPmfjgznp75sGCMa3TQpi7G8DPzaxsF7EcG/V2PXLe/PPCZ57of8mcn/rYZH/Pyz9xej/xW/FmPD8jSps+RSU9s8YdY5nNA/S7FkfXo73mu8+KLTPo9X6jD5sm6rumsb/2dN8aX+DAWHvEl/ZK/7Qc2wydruo9PGTtSZ5cyxj52aGs103GQ/8izNvXbccXf5otf4Q9L5PnlHcYGKr633iMxo2e2frYyh1x8z9haf+Qdk7VHuPWzwLp5j1+zvpp7bBFDOO6xyRr6zkWPr10v2Y5s+44ve/yJjbpZe7aid62H72SzJst4M4pcxx9/MkffdZ371Cb3vT7rOu/ReTTGLb7Rnx7dyLc/zPU3JrLd8xzhd9qMkfF+x2GHNd0614mR+SPvw0tibJtr1/iSWosva7wZX2PWMSKX907ns33oOFibw17L9DWc84wyjg3G0vb2OmvMj/rH+rTp7xEdbT966PEb7sSz9DxufQvRGc6tc17DCR9pzX3K7eV/yr/mfef2Ujv/rYoLV95i9KgpktbFlHU8AIzzMFIUS74sjWX91lxk/j/77nZtS4103R4XsAEX8AETsAEX8AAPePsfsQALcAAH8AAf9ml9fTWosaKUmfOyLzNXdrU2S5lSKC49JKW0NkWdJKeNcbRRmNjTN9rSTx/vFJ6n7FtH/Q+bK4s245h8GY9Y265hb4/0rX7TJrzQOTfyI9sdFwbjY/yYnNKemv6Ohef4NnVFf/fnOfqoWcxpn/ZXrGijTF+ikznVPvJxY0PhA5YNIbKz3tLJOHyMrvZr+jx1Mi7+8LzKb2LK2L11wdxircAN212OfMGP1Zj4txpP2+xfxTD1xq8ZG+1w4Edp/RnT9fSpeUau9fG88m/lR8Y3ly1/WgZdiZf2xNIy0d36eM7BgzzyY15SU5hfmaOt95aY40PsUvfaSjtyK9n0d43c/NgSw+TLmI6zdTQT9PGeMt9XOlZ5Yxw/ytSRtvTHFjX7I3sBOYA5B5C9gszWWmu7PK/sNf9wa3ureLu/n5FdHZZmLpCjNPfoaXs8T7a8ZzxjZv9WnJFb6Wyb8SP1Ht/IpN7SM/d7csqagj0M8K1zE1+jl5p5kfaVHcZn3naMeWbs/NFHuSfG9inPe9/02I8sNW3ta55bZjLrb2OP7zHoSUz93DL9DI/Ipz2MeZ+88p5c7TFfxdQ+8Rw92Oo+3m+JkfGtIzFkTaMjPs96xp2xWzr3zhd78yc+RP9ebC3zJZ5h8Gh5eOQzRm91dpU0NmJ+9LGYSNLKl1Vb7M5JmfZZzySjMxNsTnTGtl78452yiqNtsXFyWeHjiCw2solGrm2nLfVerJFhM8Mf2PXH9xbbHRf6OjbeJ6fYTE1/WNDGMzooU1fauj/PbwP+8z/ZDHid9leswmj6Ep1zY45ebGfOwXBVVjrxLwcY5igbTfs1fZ56mwvPKwY9Jj4it7UuyDX9zDPmWw68R77M/GO3Y16Nn/2d//Z76zn56v7m0PpbJs/TJ8ZOH1pfP0fHUd1ctvxpmc4/7diktExsTn3MJQoXFfJI7nimkPuU1vtozL22ovcePvjePkVH18nvjDMyzWTGMd9XOqI/+qg7hqlj9ve4PLOOs67DPn2z3lprbbf96fHNn9hmLKt4e/x8ZvzW3oVss+7n6Gl7K3/QT3vK9HcrzsitdLbN6O16i2/L8Lylhz0yfxDgmf2QnHIgzxj8TomveaeGKeMoGdP9nWv6o2Ml2+PyfGuMkU/NuL3zRPuSMe1TP6efen4jw4++rTE9n/q59fYzjNDVJdxo6+eWyfO9zNsnnjvn3Yf+W2JkfOuIX6zpnltpv6Ve6cw+RL06X6B3a/4Qx+S4Fdst/j0jM/24R9epLi8Anh9FFtQKwKotYEh2L7y0U3MoiI2ZZHTSRpkTPW3pZ8IhQ2HS7n3skGUSduE942lv2y3HMwebHERnX97Rt1o8t9iei7hjQ//kFJup6e9YeEYHZepKW/rJVY+NTmKOzLS/YpX5kI19fszJz8pO7MEv9tKWesZHO/baBs/t1/Q5ulI3l735ijy6MmczfmtddH/iPfKFtYIPXXpOr8bTFv1h3uOPnvn4Mq5L+9H6WybP06fmGRnaktMjxhnTNfFhh8L6ywWjZTqOzj9jY7vjytjmSxvzk5x2ntFBW+8drfeWmJGfpddW+ppV2vZq4p5zpuWzHm/hNuOY76u50NxjtzlPHcjcEyN5SO6jf6smR+HcduGT9h7b/LERVpFZxZu+VU3ce98ffEgszSi6ei6u/Ol5zZjpb4+Pzs77Suc9MTbf6E+NHuZC78X0wQO/KMSPji7kl1ylzBhp7z0DO3P99ze8Y3xkP9yLMT6mxu/eE2jf8iVjmnf8WzHLfEWmbXQ+o5O612HPs5bp5xXnnk8wxtZW6fXVzG/1r3M+/b1FR9tvH+N32Hbf0TM62y/kYdL5meeLqbPnT3OJXOc/bV+j7tzea++lLy9sDqsFwgSgkBAmxQRwSyLYnNiosxBIPvb6ozuTjB3aKEzsOaF6svckRjd6s1nyznM2O57xhfb0IY++lLadttTYIp5wISbesyFToz8F+fh+i+2OCx0dG++TU+yknvlodlNX9Mc/eMCp2fHhgU9kpv0Vq54j2EcHuinobt7oa55w5Z35sSrp7z70oYeSfHQb7fgUH3osz80FGcY2A57xiZJNNflfrYu2jT7i55ey5wtx9PjVe/NFJzI9fyfz+Bif40dq4u8cJEfhNfVnXNcdU/OMDG38KEeMM6ZrYsKPlI4xjJsB/kSe9timbY8v+uEFj84Zz7RlD0Ou9T4SMzrxJb51bPE9bXs1PkVP55g4sJG9Lz7TBrMVN+xmriO/em/OyOD/3vw5YtOxIRv/Yp/YOq6W71wmHsZT2i59yPa6Ri7cYutobbXt1TN2YNHfO+TIEd9XcpE5BNv2f74zrtcV77AnrynT3xkn3PAHFhRszDG0zZxGf/s3+UYmdXTDNfnKXpJ3uMQX2mYO0IV/+Dw5ddz4lW8E7YxJDPEjftGOHfynIE8e4tM9MUZnauLbO09MXxg3eTO+/QuzxMN7WMRux5S8RB4ZnrGzV2A2ZXpukKde1/jAe/LQ62vGeeQfY/u8ufL3Fh34Cx8YhAM+prQO2mbuI5cav/h16fkRBt3Wz/GBfFIml7Th19cundt7bb/05YWF3EknOCYXiSHobMa96JFh4vDbKySUCcFYdEVfL5yZZGTST6LnhKIt/fT1ZMgEa1tZ/PhCLPQRG5OMPnxLadtp6xp74cK4bKLo5p26C1yxcYvtjgsdM7bJqe3wTH+z4Dnspq7oTz/v+MmY8KEvv+inL2XFqvuJGca08YM9G0j7iP7MDbi2P7HT9WQM/4zP5orN5IWxiWmlm7b2pxnE587p0bogPvxIzPjS4/d8wdeOh7jysaBvlf+Z88k8868ZzueOCf9gkDL1p73rjmnyRI62Zn/EuHXzjH78SCHGrGM4T8a0RZ6xbXuPb/QzD3v+5KOXfurWe2/M6If55IJect6lY+n2fs5BMOuAMfiXD3tkj7ihJzrgN9+35sLe/LmFTftHLnt/7fkfudR7a23a7Tm34k9scOsy4506WzbPMEau9wCeYQTPLkdzkRziE/oo1Mkt79Nf2ogztokzY+m7JUbkUvb4RiZ1WDHnMofm3tO+IYNvMCDnKcSErsSAXK9F5HjPHGEfgC2sKDPGo/3wKMb4E/+67vWEP8RBjPi88iVt8ZX36R868CkyxDdL28U/xtCWwlg47JVVXLR1IT/hPPNAX3xcMd/bn4kverG38vcoRuyT9957sNkceIYNcfGb87Fj5Rmd/Lr0GmU8vqMzc3Jv/kwu6KUt3Hjnedps+5/reeb2Hr3vZ8UdI58xeoeZt8PA3FyPxpPMe8cc6bT/YxPIhvNolHwcs3E8qsNxEngFAvkYxpd8GPNu/WUJTP5H1jiYrg6TR+Ou0D8PZY/G/LXOO7f6R77Ju+W1CKwuGq/l4Wt588y6evnLCwuUG+Wthc3qa9wYb/VHudcjwOGAeZKSv7h0W/purflrSv/l4tZxykngWxHgDzz9hx7mMJdw/vrYfymcfzn8Vv5+NLu38j+Kmz+asIdZ/pfAR768/G+0tnxrAl5e7svAh768gIK/it/6VwY/tPdNnitKM5c4tLFw+N37l84tZhwgOPxZJHAWAv2fH7AW5l90ndNfNpNH/L+s9Y+v/aNeXj5+5s4ZoZeX+/L24S8v9+FQWgISkIAEJCABCUhAAhJ4VQJeXl41M/olAQlIQAISkIAEJCABCbwj4OXlHQ5fJCABCUhAAhKQgAQkIIFXJeDl5VUzo18SkIAEJCABCUhAAhKQwDsCXl7e4fBFAhKQgAQkIAEJSEACEnhVAl5eXjUz+iUBCUhAAhKQgAQkIAEJvCPg5eUdDl8kIAEJSEACEpCABCQggVcl4OXlVTOjXxKQgAQkIAEJSEACEpDAOwJeXt7h8EUCEpCABCQgAQlIQAISeFUCXl5eNTP6JQEJSEACEpCABCQgAQm8I+Dl5R0OXyQgAQlIQAISkIAEJCCBVyXg5eVVM6NfEpCABCQgAQlIQAISkMA7Al5e3uHwRQISkIAEJCABCUhAAhJ4VQJeXl41M/olAQlIQAISkIAEJCABCbwj4OXlHQ5fJCABCUhAAhKQgAQkIIFXJeDl5VUzo18SkIAEJCABCUhAAhKQwDsCXl7e4fBFAhKQgAQkIAEJSEACEnhVAl5eXjUz+iUBCUhAAhKQgAQkIAEJvCPg5eUdDl8kIAEJSEACEpCABCQggVcl4OXlVTOjXxKQgAQkIAEJSEACEpDAOwJeXt7h8EUCEpCABCQgAQlIQAISeFUCXl5eNTP6JQEJSEACEpCABCQgAQm8I+Dl5R0OXyQgAQlIQAISkIAEJCCBVyXg5eVVM6NfEpCABCQgAQlIQAISkMA7Al5e3uHwRQISkIAEJCABCUhAAhJ4VQJeXl41M/olAQlIQAISkIAEJCABCbwj4OXlHQ5fJCABCUhAAhKQgAQkIIFXJeDl5VUzo18SkIAEJCABCUhAAhKQwDsCXl7e4fBFAhKQgAQkIAEJSEACEnhVAl5eXjUz+iUBCUhAAhKQgAQkIAEJvCPg5eUdDl8kIAEJSEACEpCABCQggVcl4OXlVTOjXxKQgAQkIAEJSEACEpDAOwJeXt7h8EUCEpCABCQgAQlIQAISeFUCXl5eNTP6JQEJSEACEpCABCQgAQm8I+Dl5R0OXyQgAQlIQAISkIAEJCCBVyVwysvLH3/88WnPcfrm76effvr0119/ffM87Pn9zZ0bDvz666+f+N1abpH/8ccf/9WJPO+3FLj9+eeft4jeJYP9R/Xu5fJL+bsV3GT5TFyx8UwMf//996fvv/8+qt5yfmuu/x00Hp6NqeNB1z1ze7jy2V5n3j6b4qFo2vn9998/fffdd2/7JPtisxlD7379Erm/24ka8M8//7ztM8TId+De0uzYK9Bza/mc82za/pw5uzWeV5br/WGyWvn9DD/mBOP7x3r65ZdfPjHfUvCp98G0p6YPGYsEJHAfAdbeo+XhkY8YZTNikbMx8PzDDz+8+f3bb7/9z+Jf6UdubxN5FMK941a+3avja8nDm0361oLskfy9OmMbbuT9cxf8eVTvK+fyS/G6lT9Mmw/zAtbPlGdj6vGPzsNn/F+N/RxcVnqP2oifPwJ9iTJz/yVs3KMTf/K9uGdcZL9VjmI/9eTa8zkyV66bx2T1ubkwJ/h14Y8AXI57rrHO+K3+cMr648JDv0UCEriPAOv90fLwyEeNsiHxlw3+ashFhE2C39wYtvR3O5cgdOWvj/mrScNgc0r/3IAY//PPP//7lxc2Lf7i2GU1vn1o2Ty3T9Mm7/RjCz34Bou9wgYJK+SpucR1WflIP7YYw49nCvHFdvS1fXTxmzE0F3QhQ6GO7rxv8cYevpPv2J55R1/GI8d86TJZ8I79KZcxM8fkm7YU/EjBF/jGJ/qiFxv35i1zHD3ExPgu4Ug/fc2StvzCesYy5yv68jGFHQUdieEo9+0bY2I/OuJfz42OCf+6b8bc+hJT2+QZu5kfyPOcfMx4wi86mjd5hAWF8eERWebB9IG2thVZ6o4L3XPN4EtK/siSeMlTz7nVHM5Y7KOLsfBrH8Mf2eimjm2ek2tk9nzemwt7uW8/k6fpZ/w7WuvRlbr9Jabkgrg73o4xY6k7/3PuNbvEl7Ho3vMVXzoPe3bQuZf/lW04MmYWePQ8m/17dpDF746Ld/KOXmLOXjfXWOzQ3vt+x93rC3niQv+c252re/eHsGq72Oi1dM+cT1ypyWnnNe3U2An7PLM/zMLahicyFglI4D4CrN9Hy8MjnzHaH2gW/qqs9LMR9ybBex/g2GizIaOTjbQ3YDajHs8z9rMZTv1sbD2ezRT9K98SwxyDTj6ksYFNxudghU/0b5XYzEeAGPEp77fE2Bs0vHiPP+hp+/Tlw48MPzZtbKYQQ3RSh+mRL8Td+UEv/qREVz6YiX36mtjDAn/TFl2pyS92ooPn+I5McsmcbN/SF72P5K39wlds93zHXt7pT/zxHd9inzZ82Juv9CfWMGwdR7mP3dTYDh/a8I/3+AwzYswh82g9oqP9iZ2u0Ze1EZs9R3o88SaX+Nq85zusMwfQy3zuOZ229iXP2EA2TImX9/jZeZvzCJv4DxsK7+1nGMYWeluW98yBtoM88aeP92Zz5PPRXEAv+lLadmKIn3DBT2RSGNvriXnZeYxc6ukvuuGUnOEP8W4V+psrPvV6a/9nbEe+7s2zaeco/yvbfAPg14W44bdVjuwwDr/RgY/oy3vyxDomJ9jPmo49/Ox8Tb5b74zBHiU57Pfup73nCGN6DocVfuM/v14fU37OIRghn3X65lT9D/JhUc1vj4xJ/LGPr/iQwnPmHDIWCUjgPgL9jblv5KdP//063TnyUaNsFmwCbA5sLGyafGSywcUN9M8fGwUb0l5hE8lHlRrdq4K9+cFAjrbYwE820C5s9Hux4+OMhU2QcRT8mz6t7MQmsnPz7Y11L8bY29qgY4N4EjOyq424faQ/Olv+yBfshAO24dQssdEfB2SYH8knLGI3vkfHzFP6m33auk7s2A6D9NMXvffm7cguNtDf8TbL9Mf+LfMVH+dc6RgSV9eJv9vyjG36U/APTl1WOel+fEr+aD/yp8fyjA+sqZQe3/NwxbvnI/Mocw+WyPMLf7jNA1xsrtZ0+qhn3rov/diiMMcmw5bfszXtEH/mBzqazZ6ettfPjM8aWOUee5TmmvEzLnSFNzJZp5Gf9crfzin+xP4cy3vLrvqb3YztyNejebay123YTv5XthNb2DMWdlvzsXX3c9uhHb87B/T33MMu3zvWQLczdn53Vnx7HqCLHGY9xa9n9oewYu6kEE/Pg2fmPDz4rUpyQh/2eCeW5kn85KhlV7psk4AE1gRYv4+Wh0c+YjSLnA2O52yYHBx6QyKYlf6M6c2M52wi6GBcNiTssDln4+1x6EJ29aNvywd0rnxLAlZ9vUniY/zLmGyOee86MU0/aafsxUj/yh4fSXxgM4YPuhNz+9p+sEnH79ZJ262+tJ3obl4zxry33fiZ8dTEsGqnL4eqfIzh1QUb+J+P+OyL3o45MoMSiNYAACAASURBVLSlP22p9/oi07HT1ix5pz/6qcNj1pFZ2Wwd6NzLffxKHZt5n/7RTlvyw/veeqR/+hPdXbMfoJN1yx7BmJQe3zlZxY7/tFN4zgGSAwg/9o0cRpgffXiMPeq23+15nlyYY+hNO4e6+MGYrDvsT5uMI+YcimKDOvrSNmNuNkc+o2NvLuzlHj/4zdI225fIdX/aUq/62k7nMmO6niy6j+dmN2M78hXdiffIDrb28r9lm7wzL1LYj/p7lfau9+wgN31tBvS3L9jOWkBvvs2xN3VlPO3zOWOo57f9nv2h/YtO2mKTts7dag5l3Kru+TX7205iZ7207eSoZace3yUggW0C967Z1vTfU0G33vD8jFHUs6nt6djq6w0HHRwM2Hg5CGQTyYcmYbApcxhgQ84HIrKRWdUrH9jYV+0Zv+prn9n8pn/ZHKOj672+llvFSP+0Fw7UjGFDxmd4UNrX1o88jCmtE3neu2z50nYi37z6Of1db7HYu7wwnpzhO7lnvuBfCjbpJ/4cbrsvXDrm9G/5Q/9eX8bPeCdL+mOfGp17ZWWzdRzlfurGZvs4/UO+58st67H9mfZ4J5f80Is+ctU+9HjiRY6yin0yy4GMecAhirmf/QCbW6Xtr2SaC3qZY8wl2vEB7jN3tNOfeJmDKeigDx3owk9K2+F9xtxsjnw+mgt7uccPfrO0zfYlct2fttSrvrYzc5lxqSeLtKdudjO2I1/RnXiP7Bzlf8925udRrMR0ZAeZ6WszoL99YY5l/2vu4Td1ZTzt8zljqFnD0Xvv/tD+Redk07lbzaGMW9WrOCPHvhO/O3ZyBHt4Zc+YPkWHtQQksE/g3jXb2r7Z5aWdWD1vBdUbDpsKG2KXHHy6rZ/pZ7PJ5t9985mNCtku8zDVfTxz2EB3FzbBHJjxmRi69ObY7TxzuMqlYfZtvSdG+qc9uPZBiWfaEie+MWYWWOQQ1Tq35DO+fWk76e88t430dw2LyQ7WK709rp8Tb9raPnnq+dR6O+aMpS3c0pa6c562Wbdt+ibLtn/LfF350zp43sv99I/Y2sfpX3xOTrDf/Oif67H9WdlDvgv62oce3zlZ8c6FNfqYP+hrG/GZw/xWWa3plm0uPE9dq8tLj6c/DLudZ/zFR0rb4Z32nn/N5shnZPfmwl7uJ1d8YW9g/aa0L92W51mv/O2c4k84zLG8t+yqv9nN2I58xW7yc4udvfzv2WYc34nM01UcacOfPTvIzfnRDOifvrAu2GfIY88NZFdx9zxAFzmc4/r7hT/37A/Tv/jc86Bzt5pDjNkq8Ehepww2+puNLxRihjtxpZ++9mnq8l0CElgTYP0+Wh4e+YzRW5xd6c8GmY2EDTWbD5suGwobWNqoacuGmvHIUthwup+NlY07/WxU2dCRZzz9K98SEzZ7DDp6U8dm/MsY2hJT2lLH5/Qnzny4jmKkP7LoxJfoyl+Pug154sNvuPGD0TzwJQbqbNw8N8/4Hp7oje3E1ywZ3+ziXz54vLev6EW+26I3Nb4RSwrP85CVPmJFX+ZL+/u58gaflI6dtmbJOzYTe96b75yvyK/4pq05hW23xa+u8TE8pn/I0caPcrQekZkxvQ38z//gU6+/xNectnKSuZZY5zsm0Ed+Owc804btrUJ8yGQeh10OL82F+QUHmPHjHcbETcGv1pU5HF2dD8bjX/xtO+ia+W42Rz63ncTTbejfyj1+IZt1lRiwmdK+dFueZz39DTdsUeAWhnNs+tt/fNpihy78SznyFbuJbc6raeeW/G/ZRhe2en+Kj7M+soP8nB/E0AwnB+Yg/ZlvbXPGvXonLsYSByU5zPu9+8P0D520dQyduzmHMq+ztjoenpFPXtOHr/jJGk1pjsxH8sPv1rkZPdYSkMB7Ar0Xvu85fvvvDn4s+07iGaPvFG28oH/+2DD6MJfNCTn62IjYqLL5srnwzEctMj0+/bGzOsSgM+PZxLCJ/F7hsjDHRB4dc8PszTFyXfchDr19GUkMsTcZMTZ96IQPMsRAvPTDKBs8vqG/Y8hhLD51DMjzTjnyBZt8fLpMls0bP+NXxjSLxLrHj3zhP3b4IUtbyrTPBzd86Yu/HXPG7tlFplmTAzjDKGXabpbI8B6feQ9f2vjN+bryB7nE0P6sch+/ukYnOvBl+hcfaaccrcfIow+9qzLnHTrJcw5AHQ86YhtdHV/mxrRBHnpOZT5NufnefqG77TYXcpT5lpwnhuhEHh3Egkzrwh9yQx+/njNtB10z382G/j2fm9XWXNjLfed6xoDt6UvaqLdK+4ttbKQwh2nbKx1T2Ge9NTt04V/Kka/Y7Rzt2TnK/5HtaSs+zvrIDvLowl5KM6Bt+oJOuPWYjKXuuOf6Ygz22D8zt+f+1HMmawidzPEUfCQf8b3zhEzsRH7mrudQbER21rGFjvyIHx2ZN4yJLxnP+m6fp0/I0TZ9z3hrCUjg/wg8s0b+u4PfSfMZo3eaUlwCEpCABCTw4Qlw4M5F/WsHi13sP1JWB/hH9DhGAhK4DoFn7hFeXq4zT4xUAhKQgARelAD/CsFf9b9V4V8T+JeTR4qXl0eoOUYC1ybg5eXa+Td6CUhAAhI4MQH+cyX+1aP/U7mvFQ42OUTwn0f1fy51j30vL/fQUlYCEoCAlxfngQQkIAEJSEACEpCABCRwCgJeXk6RJp2UgAQkIAEJSEACEpCABLy8OAckIAEJSEACEpCABCQggVMQ8PJyijTppAQkIAEJSEACEpCABCTg5cU5IAEJSEACEpCABCQgAQmcgoCXl1OkSSclIAEJSEACEpCABCQgAS8vzgEJSEACEpCABCQgAQlI4BQEvLycIk06KQEJSEACEpCABCQgAQl4eXEOSEACEpCABCQgAQlIQAKnIODl5RRp0kkJSEACEpCABCQgAQlIwMuLc0ACEpCABCQgAQlIQAISOAUBLy+nSJNOSkACEpCABCQgAQlIQAJeXpwDEpCABCQgAQlIQAISkMApCHh5OUWadFICEpCABCQgAQlIQAIS8PLiHJCABCQgAQlIQAISkIAETkHAy8sp0qSTEpCABCQgAQlIQAISkICXF+eABCQgAQlIQAISkIAEJHAKAl5eTpEmnZSABCQgAQlIQAISkIAEvLw4ByQgAQlIQAISkIAEJCCBUxDw8nKKNOmkBCQgAQlIQAISkIAEJODlxTkgAQlIQAISkIAEJCABCZyCgJeXU6RJJyUgAQlIQAISkIAEJCABLy/OAQlIQAISkIAEJCABCUjgFAS8vJwiTTopAQlIQAISkIAEJCABCXh5cQ5IQAISkIAEJCABCUhAAqcg4OXlFGnSSQlIQAISkIAEJCABCUjAy4tzQAISkIAEJCABCUhAAhI4BQEvL6dIk05KQAISkIAEJCABCUhAAl5enAMSkIAEJCABCUhAAhKQwCkIeHk5RZp0UgISkIAEJCABCUhAAhLw8uIckIAEJCABCUhAAhKQgAROQcDLyynSpJMSkIAEJCABCUhAAhKQgJcX54AEJCABCUhAAhKQgAQkcAoCXl5OkSadlIAEJCABCUhAAhKQgAS8vDgHJCABCUhAAhKQgAQkIIFTEDjl5eWPP/74dKvjv/zyy6cff/xxmYw///zzTQ+6+vfTTz99+vvvv/8d8+uvv771d9u/nZ8+ffr5559v9qfHfctnmBDXo+X333//9N13373F/ddffz2q5t9x5BTuFglIQAISkIAEJCABCWwRuPUOsBr//60ab2l7xCgXDQ7c//zzzyeef/jhhzdTv/322/9cTjiUc2mh5JlxtKWdvuh8E/zP/3BBYQwH81xWeMc2tmZBbw7xs++V35+9vDCeC8fnKmH8ufSpRwISkIAEJCABCUjg4xF45B4RCl/18oJRLhtcPvir//fff/92geESs/rLPzLI5lDMBYO/7HPZSFldXtLHOP5FhcJzbKY/NRca7ByBjC1k8YUfOmknFsbTlxL5vFMnlrTxnosTl4nJIbbQjQ3spczLCxeR+EG9uqhlLPryQw8F2zzTjk/YnqzJVcZ13ogj7dQUdMGgC31p65xgry+aYYKNyKMHf/KvZOjiuX1sWz5LQAISkIAEJCABCbwegZwVH/Hsq19ecLIPyX3YXwXQB/LVvxJwsM3he47nUMshmMJBObJ9GKYvh/AjkIxDBl0U/EE/4zl48+M9F5DYexP+z/8wNv4yPmPp5mKSPt6R7X708h4OyMYXbHFhSWz4gmze24c8Mz79YZXLUS4J0c8YYovt+Nf/mVjHRn/rj034xWbH1xcXxuUdWeLKBYX50hcWntvH2LGWgAQkIAEJSEACEnhNAkdn7j2vv/rlhYMmh9Ec3HMYzWE1znJY5WDMQZZ/QeCQyjvjc5BFlsMtMlslcBjHj8M5ulJyIeA9sumbdQ7S3c6YHPhpx5cc8Fe+4UP8TVytr5+5LEwu3Y8e9FGIKXYjw3tfLtKemvH4SCGGeZGEMz5sFcZ2f8fGmNYfHfCKTeSnzb6oZAwy+Vck4mnekbGWgAQkIAEJSEACEjgHgaMz914UX/XyksM8h2KeOahSOGTnQB9n+2DLcy4c3Y5sdGbcrAOHcfwofUDmYJzDcGSnjryvbPVhHLm+UKzk8SGxwoF/HcmBfF5UjvxpWzwjP3+xlRi6pg8fKfg1x+a9x5ArZPEZjsikdGy0tf7IIN82GdMlNmcdOS6b2M1lrS+yrcdnCUhAAhKQgAQkIIHXJNDnx3s9/O/J886RzxjFFIfgW3Vwwdg6hK8uCAmFy0D+ZYDDbw7AHHxzYaE/B+Ajf1a2GJPDOHbxM3ZW8vTNWPKvHjmUx/8jf9oWz+1HdOzVPab5bI3hosUPWfKH3+3jjK31R2fzWtlsfRkza/KVf7Uif8nllPNdAhKQgAQkIAEJSOD1CNxy3tvy+ptdXrYcurd9dUGIDg7H/S82vFPyn4px6E0/7UcgV7b6MI6OvlAgz4Wky95FDLn+/6lwMJ//GtO62hZx5D+tapm9575cwGLvPzEjFnzrMi+gq8tLXyy4dDSv1eUFXuTn1hKdt8orJwEJSEACEpCABCTwbQkcnbn3vPuQlxcOtByM+/A/D8r5VwQO5SlHIO+9vKC3/2Ugh30uDRR84tKBvxT0T5/xMxeYvnQh35eXjE08jEE3l6Wt0pcXfMB2LkC885wLS/5zrfhCLFw0mhm2I4/NjEcXP+wdXV5gsooZexR0xMfYmBfEN0H/RwISkIAEJCABCUjgJQn0+fFeBz/E5QUA88e/IuSgDZR5eeEAPA+9RyA5nHN47sKYXBhopx9bKfzLA5cC5PCp/+WFAz0XjPTjTw7pGY9897fuaasvFIzZu7jE1/adCwo6wxJ/8TGlfaFvXmjgnQsNevvCQjssmtfMSezQ3jH3v95gE9vxEX9ps0hAAhKQgAQkIAEJnIMA57hHy8MjnzH6qLOOk4AEJCABCUhAAhKQgATOTeCZe4SXl3PnXu8lIAEJSEACEpCABCRwKgJeXk6VLp2VgAQkIAEJSEACEpDAdQl4eblu7o1cAhKQgAQkIAEJSEACpyLg5eVU6dJZCUhAAhKQgAQkIAEJXJeAl5fr5t7IJSABCUhAAhKQgAQkcCoCXl5OlS6dlYAEJCABCUhAAhKQwHUJeHm5bu6NXAISkIAEJCABCUhAAqci4OXlVOnSWQlIQAISkIAEJCABCVyXgJeX6+beyCUgAQlIQAISkIAEJHAqAl5eTpUunZWABCQgAQlIQAISkMB1CXh5uW7ujVwCEpCABCQgAQlIQAKnIuDl5VTp0lkJSEACEpCABCQgAQlcl4CXl+vm3sglIAEJSEACEpCABCRwKgJeXk6VLp2VgAQkIAEJSEACEpDAdQl4eblu7o1cAhKQgAQkIAEJSEACpyLg5eVU6dJZCUhAAhKQgAQkIAEJXJeAl5fr5t7IJSABCUhAAhKQgAQkcCoCXl5OlS6dlYAEJCABCUhAAhKQwHUJeHm5bu6NXAISkIAEJCABCUhAAqci4OXlVOnSWQlIQAISkIAEJCABCVyXgJeX6+beyCUgAQlIQAISkIAEJHAqAl5eTpUunZWABCQgAQlIQAISkMB1CXh5uW7ujVwCEpCABCQgAQlIQAKnIuDl5VTp0lkJSEACEpCABCQgAQlcl4CXl+vm3sglIAEJSEACEpCABCRwKgJeXk6VLp2VgAQkIAEJSEACEpDAdQl4eblu7o1cAhKQgAQkIAEJSEACpyLg5eVU6dJZCUhAAhKQgAQkIAEJXJeAl5fr5t7IJSABCUhAAhKQgAQkcCoCXl5OlS6dlYAEJCABCUhAAhKQwHUJeHm5bu6NXAISkIAEJCABCUhAAqci4OXlVOnSWQlIQAISkIAEJCABCVyXgJeX6+beyCUgAQlIQAISkIAEJHAqAl5eTpUunZWABCQgAQlIQAISkMB1CXh5uW7ujVwCEpCABCQgAQlIQAKnInCJy8tPP/306ddff70rMX/++ecn4PTv+++/v1vPPUZj854x98jC4Mcff7xnyDeTPZOvMCV3FglIQAISkIAEJCCBL0vgQ19e/vjjj08//PDDp+++++7uSweH0XnQpw19v//++5fNyhfSfqYLwZl89fLyhSasaiUgAQlIQAISkMAg8GEvL1w0+BeXv/766+0SwmH4nrK6vDCeiwt6KcjkkA1ILkuUX3755e3CRBsHW3xI4fLT7//8888n/kWHGn2dEMb+9ttvbxem6Pr777/f9PPOuNZFH77Rl/6+aMXX+DJrxiCPXp6JA534wTs1fqbQ1mX6D4/oog6fjGlbXDCxlzJ9TR6xGdn2JeOo6e8+7OB7F9pgSznSjVziwD6MWz+6iZ1Ce19w6SOu5AXfsN1lcopf0ffzzz//m1Oe2/YcOxm3HZ8lIAEJSEACEpDA2QnM8+c98bw/ud4x8hmjd5j5V5QD5Je6vORQzoGSH3Y4vHLop3AQ7cN0Dso5gHKozYFzHv7xG/3oQj7viSWH4gSKLvqiG33YTqEPHVulD+bYZCz20RP7fbCeeWz/kWc8bRTibl9o737scTDPBaZ9ja4c+nlHNhxmPPSFKX28Y4txKbAKV/q2dOM3DKgp6GBsc4Ap8dDXFxfk6YNT/MHO5BDGyOMTOsINHvgf3ztu2prhZPzmsP8jAQlIQAISkIAEPhCBef68J7TLXV44UHKwzEE07w2NwyQH0C4cdnM4pp1nDqEcgHNYpx19nRAOvj2OwzoH3ZSV/fSlRl8O3n0hSH/XyLbv2MfPFMa3v+0rMu1/Dv0ZO+vJZPa3rzBou8jm4D7H8U5+2m9yBuvkLZcMZO/VzRh8w/8UOKF7Xlzonwxp68sKfsav6OM9+vc4HTGOPmsJSEACEpCABCTwUQjM8+c9cX34ywtw+sehsy8THNY5nHZZAeWwy68Lh1LG5i/q9PXhn3f6aUvpA/1KnjYOtMhxKOYwjT/RMcdHb+rpO/bb7zl+yk//4wMXh1ygYmvGlvbUbYtnbK1+kZ91/nWDyxh+YJ+aQg7zLye36CZHjIlP6Mb/FJ6ZG6uYaGNcl5bjeRUX7ZRcUPCdS03PF/r3GLdNnyUgAQlIQAISkMBHIDDPn/fE9OEvLzlAbkHhsD5lVkA5vPYBlgMo47hc9L90zMM/MrSl5PCc9ynPv05wiKbmsM3BF3+iY46PntTTd+y333P8lJ/+oJc2xhErvxy+Z2zxIXXb4pnfPYXLIfHDgR8F+xT6wv1IN3JcVhiDLPHAF/9TeM7FomOkfzJMW3JyxAF5mHHZ4qKCL4kn9rcYp99aAhKQgAQkIAEJfBQC8/x5T1xeXhaXFw6XORgHJgffPnBy+OUwyqGzD8G8d0LmwZbD8548Y3M5wDbPtOWgPMfHv9RtmzZsMSZljke+Y+UAP3VkLDVxR99k0nI8ty3YIX9PYQz2GBcfOfxzocklBn1HuvEDPV147zx0nshry0+G6Gl5fMq/ArWNrefkdKsf22G8JWO7BCQgAQlIQAISOCuBvbPmUUxeXsblA2AcHDkc58DMwZQLTS4V/f9niHwOm89eXrCTi0oO6d2GnT50zwTPyTAP3nM8FwMO3xTs8a8+0YEfzQEevOcSR3/7Rj+6oq9twQ7ZHPJ557kvITMWZPCnZbDNe/Qw5kg3ssSJXOziS3Psywg6eYdHnpPft4ZxednikAsQutpfnomLcsQ49qwlIAEJSEACEpDARyGQs+Yj8Zz68sLBby94+vuAugK0JcPBkwMu+vsgmwM1dRcO1Bx2p0+MpS2lD/S0TXkO57lAoJOLEpeBXBjm+OhNPXlgvw/ec3xfWHIpaB3Ixx94tC5str/042vYrGzhD/r55UIR31d1X67oRzdjc7HMGOLY0s0Y9DAuPibujJ95oh8elMkwbZ1X8tSccnFBFl2xjw/ooy1lj/GcHxljLQEJSEACEpCABM5KgPPQo+Xhkc8YfdRZx0lAAhKQgAQkIAEJSEAC5ybwzD3Cy8u5c6/3EpCABCQgAQlIQAISOBUBLy+nSpfOSkACEpCABCQgAQlI4LoEvLxcN/dGLgEJSEACEpCABCQggVMR8PJyqnTprAQkIAEJSEACEpCABK5LwMvLdXNv5BKQgAQkIAEJSEACEjgVAS8vp0qXzkpAAhKQgAQkIAEJSOC6BLy8XDf3Ri4BCUhAAhKQgAQkIIFTEfDycqp06awEJCABCUhAAhKQgASuS8DLy3Vzb+QSkIAEJCABCUhAAhI4FQEvL6dKl85KQAISkIAEJCABCUjgugS8vFw390YuAQlIQAISkIAEJCCBUxHw8nKqdOmsBCQgAQlIQAISkIAErkvAy8t1c2/kEpCABCQgAQlIQAISOBUBLy+nSpfOSkACEpCABCQgAQlI4LoEvLxcN/dGLgEJSEACEpCABCQggVMR8PJyqnTprAQkIAEJSEACEpCABK5LwMvLdXNv5BKQgAQkIAEJSEACEjgVAS8vp0qXzkpAAhKQgAQkIAEJSOC6BLy8XDf3Ri4BCUhAAhKQgAQkIIFTEfDycqp06awEJCABCUhAAhKQgASuS8DLy3Vzb+QSkIAEJCABCUhAAhI4FQEvL6dKl85KQAISkIAEJCABCUjgugS8vFw390YuAQlIQAISkIAEJCCBUxHw8nKqdOmsBCQgAQlIQAISkIAErkvAy8t1c2/kEpCABCQgAQlIQAISOBUBLy+nSpfOSkACEpCABCQgAQlI4LoEvLxcN/dGLgEJSEACEpCABCQggVMR8PJyqnTprAQkIAEJSEACEpCABK5LwMvLdXNv5BKQgAQkIAEJSEACEjgVAS8vp0qXzkpAAhKQgAQkIAEJSOC6BLy8XDf3Ri4BCUhAAhKQgAQkIIFTEfDycqp06awEJCABCUhAAhKQgASuS8DLy3Vzb+QSkIAEJCABCUhAAhI4FQEvL6dKl85KQAISkIAEJCABCUjgugS8vFw390YuAQlIQAISkIAEJCCBUxHw8nKqdOmsBCQgAQlIQAISkIAErkvgQ19efvnll0/ffffdJ4L84YcfPv355583ZxpZxq1+v/7665se6h9//PFmnc8I/vHHH59++umnZ1S8jcXfezg8bfAJBV+T7xNuOlQCEpCABCQgAQlI4CsR+LCXFy4uHNT//vvvN5S///7720Uk70d8OeAfXUy+5uH6c9ny8nKUefslIAEJSEACEpCABF6VwIe9vPAvLvOi8vPPP3/67bffbsrFI5eXv/766+3CA1Tsc4H6559/3vz4/vvv/8cu/5rCvwhR8JV/Wcm/9CDPhYvCxSXtnTDGI0cb9Yxt9vO+d3lJzPkXK2LAB9pjh76UyOc9vvalb+VDy8dWYkjMK11bfFtfP8OenIcdfHtO0A4zchD72KAQW8bNevUvYMSJrRTGEEtzwzZs6KPGv5QjX2fszAmLBCQgAQlIQAISuBoBzlGPlodHPmP0UWcZx+GSQ+YtZXUwn+P6X0M4fOawj1wOozlkcuBFZxf8yWGdfmRzoEUWfSltizb6ORhHJwfj/k/jMn72ozNt0Z2adnITn2GFPHrRz4/3PuD3RQU97WeYxB7jZkzRzVj6eU+OVrrCa/JNDF3jWy6QtHNRaX+JFYaJh3ysLibRmXwxJnlKH3qjhzZ0owu5cEu+aEO+L5tHvsIl8oznPVzjg7UEJCABCUhAAhL46ASeuUec6vLCQY8D360FeeCsftHRh2sO1f2vEshwyMxhff5lPn3UWwXbORC3LeRXFzFs5PBNP2O6cIhG59ahl3YO2F2Qz4WBdg7ZuVwgz3uX9hPfp76WhQ0+bZXWdcR36kDvKt+0hemMLXymLt6xD1MKfuUiwfvKFro7NjhlfHRkvqzGI9O+HrFC3iIBCUhAAhKQgAQ+OgHOWI+Wh0c+Y/QRZzlochDcuyhMvauD+ZTpwzXPxLX6ZVz/xR6f+jCLDIdq9NCOv+jCD0rb4p3D8MpWLhPUGfum4D//g95VO920Z3zGtA+00Y8vW/LTz8RCvLk0tO48r+rWxfMqXtpWhVi25BP/jA09K319cUGGy0ZfyriE9AVvpae50d+x3eIr+rGJrfiPHosEJCABCUhAAhK4EoHVWe3W+NenxhtGP2P0BvX/inBZ4V8i8hfufztueOCAOA/yc1gfQHnmt1foz1/sOYj2YR4fczjloEpfH67bFjbwbe8Qu9X/tS8v+Iqf+I9tfrlEHs2DjplnfreWW/LXfKN3+kQe8HkW5hV9xELeElPkpp6jy8vRXEMvlyYYYJt/ien5E7vWEpCABCQgAQlI4CMTmGese2J96csLh0kOhPlPnO4JDNlbDr99uObCkf9ka8tWDror3SSiD8A804YspW3xzr9o5CK0skf/POxz+G2dc9yWX/EB+T6E087BvQuXsL2DOP3x6+g/heqYb+HbfhAr+vfKigVtKVwOiKXzkr78Z4D4tboctx7GNDfeO7ZbfI3d1Njf4xw5awlIQAISkIAE3lndtQAAIABJREFUJPCRCMwz1j2x/feUd8+ojf80504Vh+L5y/ih4IbA6iA/RfsAygGXw3IuFLzzPP9qn/+MikNvF8bmkpC/9ncbfa2L9+7nAIzuHKTRMfsZ321tn+dVzPOAPw/h6EssHKiRz6E6PuMbhRofIg8/3tOfuLs/um7l2zExFia5fOAfl63Ym7ExNguCMat/UWn9+N7+d1/0pG1y67mDzJGvnTd8Iy5+FglIQAISkIAEJHAlAvOMdU/sL3t54RBMYKsfh0YKB+u94NO/0pED9TyAYpe+jOEClYNzwKKXg+gsHNg5LDOWA3H/ZR9ZDtzpRwclh3HGoDMXl+jufsbyjn8ZH7nUtCe2tKG75ekPQ2TwG9vIES8+tA5k4zdyPZbxyGc8ct3Pc+u6hW/8ps4hH9/4wRUdKTM22mmjYDvjZh0e07/obT1pm9zm2CNfyR3+x5e+lMVe/IpNawlIQAISkIAEJPDRCOSs9khcL3t5eSQYx0jgXgJcIPKvRPeOVV4CEpCABCQgAQlI4H4CXl7uZ+YICbz9Sxj/YmSRgAQkIAEJSEACEvh6BLy8fD3WWvogBPjP47i4+K8uHyShhiEBCUhAAhKQwGkIeHk5Tap0VAISkIAEJCABCUhAAtcm4OXl2vk3eglIQAISkIAEJCABCZyGgJeX06RKRyUgAQlIQAISkIAEJHBtAl5erp1/o5eABCQgAQlIQAISkMBpCHh5OU2qdFQCEpCABCQgAQlIQALXJuDl5dr5N3oJSEACEpCABCQgAQmchoCXl9OkSkclIAEJSEACEpCABCRwbQJeXq6df6OXgAQkIAEJSEACEpDAaQh4eTlNqnRUAhKQgAQkIAEJSEAC1ybg5eXa+Td6CUhAAhKQgAQkIAEJnIaAl5fTpEpHJSABCUhAAhKQgAQkcG0CXl6unX+jl4AEJCABCUhAAhKQwGkIeHk5Tap0VAISkIAEJCABCUhAAtcm4OXl2vk3eglIQAISkIAEJCABCZyGgJeX06RKRyUgAQlIQAISkIAEJHBtAl5erp1/o5eABCQgAQlIQAISkMBpCHh5OU2qdFQCEpCABCQgAQlIQALXJuDl5dr5N3oJSEACEpCABCQgAQmchoCXl9OkSkclIAEJSEACEpCABCRwbQJeXq6df6OXgAQkIAEJSEACEpDAaQh4eTlNqnRUAhKQgAQkIAEJSEAC1ybg5eXa+Td6CUhAAhKQgAQkIAEJnIaAl5fTpEpHJSABCUhAAhKQgAQkcG0CXl6unX+jl4AEJCABCUhAAhKQwGkIeHk5Tap0VAISkIAEJCABCUhAAtcm4OXl2vk3eglIQAISkIAEJCABCZyGgJeX06RKRyUgAQlIQAISkIAEJHBtAl5erp1/o5eABCQgAQlIQAISkMBpCHh5OU2qdFQCEpCABCQgAQlIQALXJuDl5dr5N3oJSEACEpCABCQgAQmchoCXl9OkSkclIAEJSEACEpCABCRwbQJeXq6df6OXgAQkIAEJSEACEpDAaQh4eTlNqnRUAhKQgAQkIAEJSEAC1ybwYS8v//zzz6effvrpEwHy+/HHHz/99ddfd2X7zz///PTDDz/8qwN99+q4y+AXEv71118/8UuBB7F9iRLeXcOw7fFM/++//750gfYv6ePS6JON8GWOPVoY24xWel6ZCevi+++/f8vbb7/99lny10ye5bvi+UwbvvWaekbXI2O/9Vzo3GQ9PxIHY+5lyf7w3Xffvc2x//f//t9bHdvN5Y8//nj7BqTvkfrvv/9+m9ePjL1nDN+WW8tca58jzlttf065V1vTe7H1vNqT2+r7+eefP3Em+VrlljWJDGvvzKX3gq95Nuv5QF7hSNs96/gR7rfk9R69Z1qDMy54P1oeHvmM0VudZRKRmGwYPHOIvrXko9UHbA5lfDTPVu49HDwT38wt/LPB8JGlZNPcWujkCc7InaU8uwmQozPFO/NC/L/88stsfur9lZl8zTW1gsg6+5bz5Vvah332ksmm/Xp2TaIbxnNPmzaffcfP/s4c6Ztr7XPEeWTz6v09rx5hwTwiT69U8Im1dOaytxd8rbjgeM/Z8mv5dYudM+8dz+zLL315WSXunmC3Fnb/KwKJnxvSPNTwkc1fpKl5Rwb9KY/IcJHqgh/5ayT681cInombH88UnrHPX4NWH01izOEAPdGBfg6ouRC2/TxvMcYe8VN4xl/euSR2wR72sdmMWibP2ML/8MU39MVf6vZ1+ob+blvlIbao21ZYpJ94sJdyLzfGYp8LHT7xm6xpayb0r3KOD/iTX8s07+kj8vBCfhbak7/ZF97xm/72lX58TWzon/NuxZ5xibf5Jm+dD2Q716vYwiP+895sGJMSG3mfNfaYp6sLOLGwtlJg0b4ezVN0R0eYruYCewA+IENu2n9s782P2c94fMwcjO+p4w/v8YkahitWbTu6o2vWxIseCjXvPZ7nlLaN3LRNP23oaVnGp51x9BET6yHzkrb2Nbqjh3cK45CL/K17cWLomjlLDrvQ1j71X+3je3xaxYku2jO30R/f07fHuH3hmbHIz7hbJ3Kzf3JBR/wlpzzTRg7gOQv6wmYvT4xbrffWR3/WCuzgm/0i8bV8fEsbYxLvkS+MzXonB8hTiDU2o/eoRtcqj+jvPSZ64MoPX/E5BbvIZ97wDF98SpkyMIrvyDD2nj2n11JsHM2RyKUOR2yjj/EpiYW640g/Ne2M6djh03mYc2f2Rwd5yHzEJozJT/tB29H8mPbQ0eVormIvhTh6r8A/xqfge+Zt2uI779huduQ3extyvU6QRzYxw+lbluZwrx//JXjnyGeM3mnqTZwEA7qTdKSHCUASe5LPMSRxTrwkF1l0MOEzeZjUTK5uu0WG8fgy9eSdxYnebDQs+I61fcKvTF5stxx96MAWhdjxFX15ZxOYMb91/ud/9nKbhYXfYTd1kScWEH4lvtbfz9jK4sJvfA0nfEdHf0Cnb+hPW2KNzeQl9mjvvGEPFlnAxBGW0XUPN8Y2a/TDK/rxA1/jH/Y658TJeGxT6OedmjZ++MuYFJ7Dh37e0Y9cfySiL7IZ3zV2+KW0r8TGe3TCBd9SVmzxBZmON3xpQx/viW3GwjyIv4k9PLB7tGbi21aNbeLFDvq70Mf8ScHXe+Yp49Gb+bM1F5CJHXKGjRR8gwljKav50f3o4R0ut8aU3CQfW7Zbd2S6Dkva8BtemfeMJW+JExnkt2wzNn3oQjaFdmIjxswbmCGXHCIz5yY6U6IjNpKbvN87r8hxYo0NfCaf8ZHnjgN/+aXMOPOe3MfnxEj/EePopmY8TGAVnZlPeY+NcJhc0AP7xEp//KQP3Rkb28SdNXCUp7n+eY8+4sb/3g94RoaCXPOlrX3jvefVkS+MRTcxhg86sBkfeD8q8SE68LPXZj9HF23II9vztucUsvgBk46bZ/KTeYJM96MP/VmLR3vOXPfxn5qCn52nxJAaOXyM/HxHDv/Sn3Fd04/PmUexmXmYuZF+3okL9inooI2+5KLnA/ab09H8IObMA3Q2g/jT/TwjQ8HWXl6zf8fPFZ/2PXMM3eSr84svxBJfkKE/7GLjzbFv8D/N4V7z/93R7xz5jNE7Tb1NOuwB/V7YJInFw8QlgXM8ie9Jjm9MlrRlXPuMjp48t8owKbvwzsSi4Bt6tkr7hEzbZ1F0XMQc/1cf1iyuLVt7uc1CymLHLnnpAm9sRLb75jO22nfGNAfiyEJj7PStN4Is3Gkj77DOBpe2rrGFfcoj3Bgb7tGbuZL3zhucOnZk2sf2J+Op4U3clJUO2unP3HoT/M848rJVsNf+t68zL+hoP8hZj6U/scfXjid56/hh3vyn/7EZO0drZivOtCdf6OvNHZ/yoYnsvfM0ujOeOjzShs6ej7N/ldueH6v+6L41puQm+cj4Pd2R6brjxfbcE+b8QH7Lds87dCGbwpiZm/R1jY4c0GZs+PLMXtx2eCYnrW9rH2qmxMUvZcYJv7lW2QczT5E/Yhzd1DDA/tTZeTnigh64to72GwboSEFuZTP90Zc8NZ+W4florRNfzxPGtG+xhdxW6TnD2P7uZAy+TjvpW9VHecRG7wEwjP6et+wNK5bwjvxq38In1ksYE2Pbu2XP6bhumSMt3/tV2mcu8X8vL/STjy7tN/HMXGXuZQw6eo3SDovYpQ7HjJl1z49n5yq6KFt7Rdte8Wnf5zzvsTzT399SxvYanvJf8z0cHrF5istLAmOCsRkwce8pyLNgmOCMJ5FJHomdC6MXy2riYJsNIRP/VhkSNX+MpeAPOrPYZ4ztE/Loif25eHthEdu0mfc3w4v/oX+rJFZsx3d8ji/9AYvsli7ap60ZJ/7Hzkoeu62DzRWO5Dsbduwf+dO2HuG2pb/nCr6GVfsdH7HLj9LP6admHkeG3DOnaYveyPZa6bykf9bTXvs688LYjrefW2/Hjn7kKDNvaUv/9CU6O/ajNZMxWzW2sMNag1UKNvoDT/vMVcZmTMdGG/0zH7Q3j+YbPW2nn9PfXFb9kbs1pvg487GnOza6bh6TBXLtN+/NZ2U7fk1dtDN2FtY6sln/+B8dUz/j6Z+/6L13XnUs+LXlY8tNHjPO6VvekaNM+bSl/02o/mfLpz4sH3FBHX50mX6wjvJtnYdUxu3laW8vw85WbOhdxTd9w3fkUvZ82bM3GUTfqk7eZp1YWKfsCSn5/vOOr7G1ig+Zzl/kpy3eE3c/x2Zs8N7P6e/6ljky5WM77TOWXheR6XqrP3spLPF79YuelQ7k49v0iXF78+PZuRrOK7vxOfWR73Oes/7wL+2cB9GREtt5/5b1M76834nuiOIZo3eY+R/RPrz8T+eNDWwQbKwUEsyvC4lO22riIJuFw/MzMm2XZyYdMfIR4EOc0j7RBv8sPCZrDl+MJ76UVXzp26r3cosdFnUvOmzGV2yzoVK2uLTdaWvGif+0pUx5/Fi1MY4c8cvH9MiftvUIty39+AAzCr4mb9Nv+ttuPyd+auZH5i/vfACRhT0bVWwhE7kt31rvtNe+Mp7+Lq2zn1um1wnjkaNs5S3905foXK3/rTWTMVs1thIT7OCWtZQ5k7EzVz0WmY6Nd/qT5+ig3poLkWk7/Zz+5rLqjxz1LTHFx5mPI91th+fmMVnQ335Hfs92+qYu2rHVJfslNXOBPOJ/dFB3PFu5aZ083zqvpr6Vj+hrucljxtn+Tr94n/Jpo31Vtnxir2aeUNq/lQ7apl/TD96z5+RbEV1HeUJuay9D71ZsjFvFN33rOXHky569ySDxrepbZOHOnCV29u+Unrer+JCblxd07ZVmELn2sZ/T3/Utc+RIfsZypHOrP3vpXq7iy0pHs5g+Hc0P9D4zV8N52o2/XR/53vM8c4g1TTv6iQUdKbGd929ZP+PL6S4vHJKzOR5BJ2E5SLdsT3aec/CODIuCdgp9eU4/E6Qn/q0yt/odO33wI5b2o+0jzwTlYzsnOm35OEXvUb01oVgIuSTNRZdDc/qxMX1Z2Z22ZpzETFsK8vBPIb9TR/qo4RJucIDHVmlbj3CbvmMnm0ls4ivsKDDrWGhrH9ufjKeeh4Lu649ZDuLYYC4dFeyFFbLt6yo22hLLLWug42HczFvPqczl6TOxt4+zv9fM7JvvHRPciAG7zJlZpq89FtmOjffZT9veXIi9tnM0P1b90UN9S0zJ38zHke62w3PHO1nQT1vnDfkt2z3vpq6eI/EB+b5s8tw6Zmzk+Zm9OHZTdyy0cRDtfTByzXTymHHurXH0Tfm00b4qMMB+c0KuWfTzSgdtPT95n35kz3kkT9Nm72XkC/+2CvYm89WhDTnK0Zwhri2Wk8GWT7Qf5RGZrNNpE19jK3vHKn/MP0pk3l42/gd9YRCR2OC952j6u75ljrR8f8/SPnM510/kUtM/c9Gx3vKtXtloFjAJR+zS16x5bvn4lvreuRrmW3tF9FLjFzGmTF9gE995nt+v1TqIrm9dh8Mjfrz05YWF3x8ZEni0uBoCE2oeZmhDRxYwk4d3agqJBmgWC3Itz6JBZ7c9KsNGkImGPd6zYKITe5Q5KedCil9zA0cfvoYj7zzvHWZXEyrs4UfBvywY3okDneFGG/3I7ZVpizGtg+e2w2aYj1gWfnRgCx/CLEyy8MM0PtGPruhrW49ww09Yh1HsJ8dw6Lxhr/0lL4zPHKAfedpp44evnbueh+lPPNjjGb/CYC8X2OOX0r7OvCBDW1hmHeU9sbd/6GYMBbnkLfZoSz+xMLbnLbHQFh+paUM2OunH9i1lxgTXzkfrmL7OsR0b4+jHl1vnQmy1HXS2P6v50f3kgPfONe8tEzvxMf7NfEzbK91TF2Mok0Xa0s87fDJXpu2ed/ThfwrvjO0C5+iKn92GLDrnPMmY7ANZp/h5z7xCNhzjFz5GR9Zl+42N5jHjpK/zlrhih/7Wh92pM75Qox8G+JT1kfmUd2Sa2+SCnp6fsTn9wAa+9zxEtnUnnm7r5zBDF4V3+ns/4Lm/d/THJpzwtX3jPTlvWytftlgyvnW+ObfzP0d5zFB4EUtyQXtyFpl8+zKPk7/2h+fMO8bBofU2g+jtnG75G663zJHopZ7y8x0ZfKZ9q9BPvjL3YQSvrNetuYFMyspGs8A+MilH86P7752r2Grm2J05Q3/mAnkmFuzwQ759J2fxHVnmSWRXc6RtJ95vVT/jy0tfXthUSAQB8iOBtKXMSZD2rll0jGsdWQSRYxHQz4ThmYnAhEjJBoAMGwE6kekFd69MbMVGFgDtsdN+8pw+xiDT9mnDJybrLDCjjzH8MrmnXN4j1zUM2x7P6EzBBvJZcLRPRpHtmjFdGNPse2Eihx1ywDh8It7WgXz64dW6GE/uur83jZWte7ghi/7M2Zlj7ONrc2S+Ja+M7/mNP/S3zMwd86Lnd8eDPWyhn/l1VLDXvNrXmRd00daxzDXAe8s0X8Z13uIr8ik9b8OyfTxaMysb0U09Y2r/Wo7n6evRWPrvnQsrO517dPb8QL77mdedP/r3YqKPuNC7YnWkG/0pzWNlkzZ+KbHJ+7Td8479JOsVOX6M7dJrmrXAvGMd0J7CGPTGh56rmVuRPZpXkUuNHVh1QUf2AezOdTl5zDjRhUz2Bhh0PPRNDlNn+xNu7JfhCas5n/a4oI9Yuqz8wBZ+z3KUJ2zv7WX42v3wbf/RH170kZNm1PPqyJctlvDrb+wq/hk3MvFr5jGyyOBzFzg278xL2vgxp2DWMU6ZmeNmEFttg7ajdX80R6I3dbMmfsZ3wX9i3Sr0oyPrCZZzvTEPkAsbZGGRsrLRLLI+It8+wxCfe0/hvefiXN97c3WV18SGT7EXX4gjsWX+tO89B5GNLjjhF74wLoWxr1Ke8eXhKJ4x+irgHvWDCUL8vTimrltk5hjfJdAE2JT4PVPYhNnAPkqZG/vnjKs/Ts/qXX0sn9X5yPjPGdMj9q8yhnn5ymUezl7Z11f2jTz3H+g4GHJYtHw5Aq+yl365CK+r+Zl7hJeXg3mTw18uKmxcHAhYUCm3yETWWgK3Evgclxf+4sIH9myFddYHBdYff/Hkr0lZi58zJuyh+3OVV/jgfu6YPhebj6iHucl34FWLl5fnMwPD+cckcj7/JeF5S2poAq+wl7Y/Pn8+Al5ePh/Lpab+Z9T8U9w8QN0is1RuowQ2CDxzeeEwxcYw/3l9w9RLNnMw4PJFHPz4C+eXuIihl3X9OQ+f3/qD+yVieslJ8kJOwXx+F17FPS8vz2filfP7fHSvq+Fb76WvS+b8nnl5OX8OjUACEpCABCQgAQlIQAKXIODl5RJpNkgJSEACEpCABCQgAQmcn4CXl/Pn0AgkIAEJSEACEpCABCRwCQJeXi6RZoOUgAQkIAEJSEACEpDA+Ql4eTl/Do1AAhKQgAQkIAEJSEAClyDg5eUSaTZICUhAAhKQgAQkIAEJnJ+Al5fz59AIJCABCUhAAhKQgAQkcAkCXl4ukWaDlIAEJCABCUhAAhKQwPkJeHk5fw6NQAISkIAEJCABCUhAApcg4OXlEmk2SAlIQAISkIAEJCABCZyfgJeX8+fQCCQgAQlIQAISkIAEJHAJAl5eLpFmg5SABCQgAQlIQAISkMD5CXh5OX8OjUACEpCABCQgAQlIQAKXIODl5RJpNkgJSEACEpCABCQgAQmcn4CXl/Pn0AgkIAEJSEACEpCABCRwCQJeXi6RZoOUgAQkIAEJSEACEpDA+Ql4eTl/Do1AAhKQgAQkIAEJSEAClyDg5eUSaTZICUhAAhKQgAQkIAEJnJ+Al5fz59AIJCABCUhAAhKQgAQkcAkCXl4ukWaDlIAEJCABCUhAAhKQwPkJeHk5fw6NQAISkIAEJCABCUhAApcg4OXlEmk2SAlIQAISkIAEJCABCZyfgJeX8+fQCCQgAQlIQAISkIAEJHAJAl5eLpFmg5SABCQgAQlIQAISkMD5CXh5OX8OjUACEpCABCQgAQlIQAKXIODl5RJpNkgJSEACEpCABCQgAQmcn4CXl/Pn0AgkIAEJSEACEpCABCRwCQJeXi6RZoOUgAQkIAEJSEACEpDA+Ql4eTl/Do1AAhKQgAQkIAEJSEAClyDg5eUSaTZICUhAAhKQgAQkIAEJnJ+Al5fz59AIJCABCUhAAhKQgAQkcAkCXl4ukWaDlIAEJCABCUhAAhKQwPkJeHk5fw6NQAISkIAEJCABCUhAApcg4OXlEmk2SAlIQAISkIAEJCABCZyfwKkvL3/++eenH3/88d8sEAxtZy1//PHHp99///2Lug+vX3/99V8bv/zyyye4fffdd/+2famHafsZO+T5mcn7jO3PMXbO3c+hs3WQ414b3fclnrHX82ra+Oeff978IWc//fTT23PkvzSL6cvW+4zh2f2E9UysZy+vutb++uuvN77kid/333//NgeZa7OQW/oj+8MPP3wiP13Qt1ozmbsrvT1+9Tzn1Eqm2+7ZI9G98rf1veozeZiFb9Hff/89m1/2nRhYG5S51u/J47cOkBj4/q/Yr+YY6+Dnn39+GwMDxvK+NZ7+1dpBN+NX42CCztU8uYfXmdYfHFgDltsIPDM3/nf3uc3m0xMyZl7l0BN/nqlZ3HxQv3ZhAqw2lq/tx732XvVAdWscH2nuEvPRx5p4t+b3q7CYMbA28O3RsvrwP6rrW46DwTMfii/hOxcNLiO//fbbv/tXLjPzQM87l0j6UzhsMn4eFlaHnTk2Om6p55y6ZcwVZFbz6cwX/TOvddY3F4y5bpiHM66cU/qiyaEbudUlhT2fNcpvluhe9WEHfat5MvXsvZ9t/cHkmW/OHouP1vfM3Piqlxcmc27iOM0zH6BecLQn8fkrGm0sAiZFl3y86M9HsPtZUP2XOjbWPuRnsTIeH/rDiJ7uZwHHr7bRz8j3v7rwnl8WMXbmXyn27EQncaCDsVnM+IPv+SFLfGxKsUe9+rinf8bNeDhFJ3E3l9hO3MQbxtNWYo8sdY+P/+nnHXtbtlcsMjY1+pkXPc+Iv/MeGfzFHoX+HgODztPsX83dyQ6Ztov/+BK+cIMt8xRf+M35g6+UsGre9LX+o/kOV2TCOPbRj65wj803w//5H3xPPzX+IEc7Je/tH/ppT+EZ+dgiT5S9dbzi3jFHN3X04l9i4HkrZsaQ4+QDWXxODmbMbSvP+LK33h6JObq7xre5HxJXl7384wc6UibXOd8j13XHCd/eF5LXluF5r8A6c2DKMUczd8hH8jnliIN102sVmfYP3yarqQcZ9MCox/JMW9oZh19ZQ7Tz3CwYgz7KEZf0Ry/6eg2hq+f7zNtqH3ozXP9zi7/kKutg7kOJY/LB1y7Zy9LWc6GZ0o9PiR09q3mADOPm/kB7l+Y159SKV/PEdnzhOT/0J4/oh/MsxJc5Ptcm7W1njqUvvLE5vxXYRkdkVjlpnWHFmMy99Idz3rEVv9OWeo4ndsbjL/N8FvrCf/ax5tBHfHsF3fgU9s0CDmnnmUKsr7z+iCe+7sVt36fDubHHaH9W7Yw8mpCroSS0JyaTm0XZiUZvNicmaD46WTzpo+7DER8v5NPPZkJ/PiqMZyOIPjZE5PPRYwG2H1nw6Y899GwV7HU/Oogvi58+4sduypEd+uNnfMFP2lM6F8RHnJGlbg5Hcc8c5cMRfW0bJsQX5sgQXzZGfGw/8XeOb9/Rhb0UxhJLCu+TRfpSo594yScFnxgTn2jrGDsuZJI/OCKX0mNoo3/O3ZZJrlsH/vf8xh6+EiPyxI7OFOQzHsaM5R1ZfsSV+Xw039HJ+J4L5Kr5ohubWwUf4g8yLZ+5QFuYhlHekcE+cSaGtFFTkq+8w6j3DJ73fGyf0HcUM/GjD38o2N3KwZvA+B9iREdipG7Gie+emIeJt9fkPlziZ9bLUf6RR0cKnPbme+RSwyhrj7bkNtzoRz86KfgDx+y/0ZMaf9B3S8HXxLmSx+acE5lHjOs5vhqPTMc2vwVzThFX+4PtttHyR1zoR56SHPGe9dFrHBns9HpIHqJjFd8t/pK7xET8cw00H/xkjvd8wi55yDogrh4TPzNfogObiXX6jgx+9PqKntiJDDVlvuNT85r7BzFkbOcCXZ1H4o3v8ZM2/KAdP/PN4X3ayZjU6I5fke8c8ryXk+hJTQyMQRfce93NuNCL3C2l40ZPYsxY2mI7HNMXP+Y8SX/qoxwRF3ZSbpnPkafGPjYoc1+iP9zxH9lwDEvmXMqt6w+5zkHGW78ncDQ33ku/f/vv1+x9++HbvUZZ5Ey6uWhYwJk8GEVvFgHy2aSmQ4zLZps+3pk0W4WJmn4mJDq2Si/ayLAAeiKnnZqJymLt0guj29GdGI/soCMLLzrmYj7KBfLxey9uYsCfvdK2YTk3sx6L7/y69PhsFt3fz/QzB1JWLNKXuvWnjTnUjJDpuUP/zB1js/neMne32PUcxv+ec4m/5zh+Zo0gj6+UlSzs059Yu2Z85jvt6O4XV8IwAAAgAElEQVR8rbgwZqvgQ9vjOfLJVXyPDuJtmcn5aB0fzbHYSd0+0XYUc8Z1zZh8ePC9Y265rWfks97gcm/MK734hK4u9+SfseigHM33tpHnnsdp69zAae4dnfuMSY383NfSN2v8nvOqZVjLqxzBB7/3xqJnb0+kf86pts1z5n7aW/6IS8+v5Kj3g84x7b0fxh6cV/Gnf9Yrf9HRZX6jGNMFvzKf0t57zdF8Qd9cF9GTOn7O/PW86jmYcZ3PVX/kqHtddS7o6zwyV4k5pecc7XMu4/MqV4y/5VuB7b2cxI/UsMocQH+z7bhu4d462wfm31zj6OYHg5ZtH+Y8if7URznqPGRM15knaWt5fJs+9/yZbPD1c6w/5iC6LfsEjubG3uivdnnpxdUO9SZAe28mLAgmHhsD47swQZGdvyxgZNlA0JEJymaSfvpY4Fk4PWHjx9TN+9aEXMWH7EqeeNK+stF2Vjp6ccbXZkMsLB7shFPs7cW9iqH18ty2eZ55afkj3xlLrF2YD4wjL+S++1f6eizPWz6R6/g6ZeLHKhf08WPMLD13t2Ta1vQ/dlsvPtBOQT52V7LT5t58R1/rjs3miy1sbpVpr+VnX3QcMULHinvizoeeDw66iHGvtE/IHcWMDDaIGxvMkx7TOdiyu7feVlyOYl7Z6TylHxbdvpd//IhsnnmfP/pWJWO7DzaZLytO3d/jeN7rm7LY3st7z7EeC2f2Efr3Crr3vgVzTqELncSw2qda/ohL9ycv7Stt6KP0c8tsxT9lbvE3Y7CZubDK/Zx7rCG+OSmrMdjnR9mKJeP3ZDre9jNjW/fR/oGfibNzga7OI2ucOZKScwPvjEPP6hf5rtu/bu9Y2nZkuj9tqadOfMqFquOachm/qrEHvy7skeFFO7r5UfheZ51im7MXZTUX3jr+8z9HOVqxePX1dw/nZnG156O5scfj/clxT3L03Wt0K5m9EWECvb042DRYHGwWXD6ymPYWMnoYhzzjGI/OHOY7FBYY7Sw8FmbK54ivF3b0UmMvG/2RnZWOuZhbBzyJm1iwEe7o6bKKO7ItN5/b9lEOjnzHXvvOx4Ef44gDH7t/pW/lH3pnQe/W3DmKe6u/5+6WTDOa/jOm48Nn3mmnIM94ykq2bd4y31v3m9LxYencpr/rtkd7y8++jIMRa5Cykmk+GTNrPojMZeY0czsfxSnHe/vE+1HMWfvU6GWO9JjOwcre0Xp7NOZpC59mgQs8KEf5x4/oWPk0dc/3jO32ns8rTt3f43i+xwdyCuetQu6w1YV35gyMWPvwOSqrPZExc04d7VMtf8Sl+ztH8bU59XP6qXsf6vY83+NvxhAD9iir3MO128lBM+6+6CRWfpStWCK7J9N7SvuZsVP33v6Bn4mzc4GuzmPe2R+y1mKv40rbXj39i2zHMm0j0/0Zk3qlk7zTPuNa5SZ6UmcfRHb+8COlY2d/zt7MvgR3yi329nI0Wdwzn2fs+NM+dz+spq/NtZ8TP/Vq/W3J9jifb5sbW5z+94u4JTnaZ5JH9/+8ZsFnQkeACd+LAb0kflV6kuRwvpKjjUnJhtqF97bVfTxnsfPMZSaH3Sm3el9N1l4YPaZ193PL5LkXWtrmYu5c0AenLsSFnq2SuIkXf/ZK2+6/Pq3GYJM8dWlfYBbfeaavC3Gkn/YVi5bnuf1LX+Ze3pHpOTb7I5c6/Xtzd4sdmzjjKdP/jj+2ev4jj6+UlSxt6Uf2aL637raX5xW79MWH2OO95fGlP1gZ1+u0/V31p22vJgc9J6Zs+0TfUcz0d16jH18pnYNpi3fs7a23zxEzdlZxcFDIxfAo//gRbpnPq3i22noeR6bX/4oTbfy2yt7eh+5wJc6ed60vsWSN0Ues4cI7a3NrfOvq5+yJtPWcQvfRPtXyR1y6v3MUX2iL74m15yty8xuasdT3+pux2GQshTzlOf3kJPOJtubN+9F86biic9bIHO0pPQczPn/oyHvXWd9p63XVuaC/88g78xHWyPFL6XWYtr36lm/FtI2+zsnUv+LJfGGuznNP78lTD+yQRybrb8q0H82CuLAHD8an9DxJ2149c9QsiPMM62+Vj72Yr9p379xoTl/t8oJRNhomdTZfFgqbE5MzpTcT+pgEFMYwNouC9u5nodKXAxy6scc4ftMWi659ib58BOlnkeQ9C3NrQWejSBzU6CAebMcPbPbiO7JDP78uvZhp7wlAzJEPEziljXovbnR3P/EyPhzadpglR7HHeArMGEtNITf4Gl8YF9+R4SMZO9jlPf2MZ1zGvilc/A/+YTN5Qh+8My8Ygkx8jopV3O3PLXO3dWS+0pYy/e/4I0O88Q35jF/J0pb+o/mO/tbd9vKMveaU9tRtjzZsJx/xj9wnh1lzeZ/j0UEb+aKmIIuO+IEN9KTwTF62yozhKOa2nTXebfjV63XaPVpvj8Q8bfBOHPiRtRRumedH+UceHSlwneu853vkUsMV+8llcss8p9CfudhjMj/S1nX2Fg470UN8MMVW2hiDbn6Jn7bsEZkrtDGGOHos7fix5QvtzSJsEyv9sYH95hQfJtvYot7j0v0zR/hNW4/nuX1NHlqGcSn3+ptx6MM2BRude9phkJixgUwX4uox8TN5mXH12Dwjgw3iTS6iJ+/IzPXa78TRvvGM7ynoRweFGp9TGJs8po3+zj/txITN2OGd59aV8anRnTwizzNtKSvbtMXXyKWmvcenHT/wrftgRxuxhSM177RnTkfHrOnHXwpjmhEx82s/M0+mnrzjW9jRxnPnCP1nW3+TS2K1fk/gaG68l37/9t+v2fv2w7dHjGaRMpYfC4CF0AuL9kx8+lgILY+OlCwy+ll0meD0I8dHMH3YykaeftoYhwyLBX1dmIDdz0d2r6Cj/cuiw6/owaeWQd+endUigBftKfifQoxhhj/I9V9CsL0Xd3NDL7qay7SNbuw0546P2NPHc48nz+375JR8ZYNdsUjcqdGPT5179HZBJnMs7eGCP/yIG/sps381dyc7ZJrF9H/Gjy1sxzfk8ZWykqUt/W2buYbt8EsMrbvb8kyeM0/T1nXbox3b+EhJXz48K4aRaZ08761jYkgu0YnNzstKV8dwFHPP38x12NFOYe5lfuP/LPiyt94eiXna4D1xtK34SP9R/vEDHSnIEydt/OZ8j1zXvT5nHnquZsyc72nvGr86v9mzet1EHn3JRXzuvQk5/FrlKX2ruRMWmTfYaL1zXTQHfEcnY7JP9bo44tL9M0f4TBv6UuJr8oZ9/GuZyKa+x9+MmRzxM3zoI2Z8oKA/sWd82ueY9M+40t51ZPb2FOR7Dc/c4WfPr/geO8SAHcpc68gSdxfe0TcLdpDvvKzmcMbR137Nb8XKNm3xNXpSh1Xeu2Ycvy7Eis3kh5p32omxLxM9Ls+Z78g2o+QqctSZJ93Wz0c5OuP6I7fElbLKZ/quXB/NjT02//2a7Ukt+p4xulD3IZpYuH2gmAv7QwT54kHsbfAv7rruSWCTgPvtJprLd3B54PfRyt6B/KPFajznJTDXHxdTLneWYwLPfNe8vBzzvVmCSdt/4fDycjO6zybo5eWzoVTRCxF4ZpN/oTB05UkC/AtZ//U9f5XutidNvMxwLy8vkwod+Q+BW9Yf576PuB6/xCR45rvm5eUzZ4SPSf7J1cvLZ4Z7gzovLzdAUuR0BJ7Z5E8XrA5vEuA/Rcl/Osic4JlvzkcsXl4+YlbPHdPR+st/jnfuKL+e989817y8fL08aUkCEpCABCQgAQlIQAKXJ+Dl5fJTQAASkIAEJCABCUhAAhI4BwEvL+fIk15KQAISkIAEJCABCUjg8gS8vFx+CghAAhKQgAQkIAEJSEAC5yDg5eUcedJLCUhAAhKQgAQkIAEJXJ6Al5fLTwEBSEACEpCABCQgAQlI4BwEvLycI096KQEJSEACEpCABCQggcsT8PJy+SkgAAlIQAISkIAEJCABCZyDgJeXc+RJLyUgAQlIQAISkIAEJHB5Al5eLj8FBCABCUhAAhKQgAQkIIFzEPDyco486aUEJCABCUhAAhKQgAQuT8DLy+WngAAkIAEJSEACEpCABCRwDgJeXs6RJ72UgAQkIAEJSEACEpDA5Ql4ebn8FBCABCQgAQlIQAISkIAEzkHAy8s58qSXEpCABCQgAQlIQAISuDwBLy+XnwICkIAEJCABCUhAAhKQwDkIeHk5R570UgISkIAEJCABCUhAApcn4OXl8lNAABKQgAQkIAEJSEACEjgHAS8v58iTXkpAAhKQgAQkIAEJSODyBLy8XH4KCEACEpCABCQgAQlIQALnIODl5Rx50ksJSEACEpCABCQgAQlcnoCXl8tPAQFIQAISkIAEJCABCUjgHAS8vJwjT3opAQlIQAISkIAEJCCByxPw8nL5KSAACUhAAhKQgAQkIAEJnIOAl5dz5EkvJSABCUhAAhKQgAQkcHkCXl4uPwUEIAEJSEACEpCABCQggXMQ8PJyjjzppQQkIAEJSEACEpCABC5PwMvL5aeAACQgAQlIQAISkIAEJHAOAl5ezpEnvZSABCQgAQlIQAISkMDlCXh5ufwUEIAEJCABCUhAAhKQgATOQcDLyznypJcSkIAEJCABCUhAAhK4PAEvL5efAgKQgAQkIAEJSEACEpDAOQh4eTlHnvRSAhKQgAQkIAEJSEAClydwicvLP//88+n777//9Oeff96ccGSBM38//fTTp7///vtmPQhi/8cff3zTxXief/3115t0xI8IM67H4t89cUXPLfWMnfcffvjhnb349/vvvy9V0v4lfVwafbIRvuTo0cLYo5y8MpO//vrrbb3g42+//fZZ8tdMnuX7aF6+9ri5zn/55Zc3lt99990Xd2XafsZg1vgzOu4d+8cff3xir/zS5XNy+pK+shZnYT7d+y2aOr70++TrGvg/4uyB5HQrfz///PNb/735yVo9+v7cq1f5bQJzjm9Lftme9oN5xZk3JfMi7x+hXu2Jt8b1v7vpjSOfMXqjiXdifAQ5MNyzoJFlMnRhQrDpoGtr02n5PKOLQ//nKD1BP4e+PR0zT1zCuIwQP4cLSjhtHTSI+172ez59jb5nD9fk6J659jViuscG8XPI+Jzl7Ew+BwvWE2vobIW5PPeCLx3Ds2vwVv++5n56q08ruRX/rT13Nf5V2lwD/5eJzG/+ODQLewTfzFXOp+x8Z058rYv/tO376xCYe/Z8fx1PH/fkkfURa6e4vGQh33t4ItmMWRU2Hv4yksJmk7+UAJQNJJcbZGnLL3ppp2QT47CYDasPjj3p8Cd64hvvyGB/9a8fXB5y0eAv6tGBLezsHabQvSrYy62eZ2LgPTFnDPawj03k9gq28B89POMb+uIvdfs6fUN/txFzdFGHQXxoW2GRvuQk7/dyw9fMO3xKPNP/ZtL5Zzw2U/Anv8wRZJr39BF57CE/C+0wWRX0xufwpI6v9OMrc5x29M95t2LPuOhovslb5wPZZrWKLTwSA+/NpvnFRmRnHV1TR/NlTPczrxMPfTzTH34w4Jm22A9X2oivc47vvHdpe+jqmBifHKAXf7o/tqOv+U5b2OHXpcfH//Tzjr3EM22jK/awNTmih7b2n/mYecT46KambOlshpMRftI25yPtKfSv5nPWb+RS0957f9pTH7EhHg6s4UfcnTf0EOucy+EQO4zpg+8ehy120RWbyE3bM3fdTwzNkmf6YYq/Z1oD+I7fXRILbfR3DnhPDmm/dw2gO2ukbfJMXsln2yMP2Oh9cfqMTGKgnrmbdvIeP7DX30rGr74T5BVfKPizdfahv+PMXrA35ijOxIwP+BafaU/hObmjH9n4knWF/z1m+kRMzRp9GQvbXrO805+yxTM+IN/rledVwUY4px+/2hbttCEbP4iLuPPjPW3tG/IdY2ykph92xB0/mJvhjn728NaxGhPfkEcX8faY2Lu3Rt+j5eGRzxi9x9leCEDtyXqkB1nGrArgSUIKcp0QEtxjpy76MgGp4ZEJTKLRTU3JpGtbGUsbY5HJBIkcdW8+8ZnJS+F9tRB6/F6emMzYxDb+5NfjiSkskNsr2MpCwG8YsEgYh68wQ1fK9A25tCXW2AzTjKUd/enHHiySA2JJ/qLrHm6MRX/GZB5GP37ga+xjD57IUYiT8dim0M87NW388DcbCjI8hw/9vKMfuWzeb8r+oy+yaesaO/xS2ldi4z06iRHfUlZs8QWZjjd8aUMf74ltxsI8iL+JPTywiy+MCT98iv74tVffwhcZdMYGfuMX/lDyji+JA/nJMX4QD/M9+qjRl3V/FBO6yW3sI8/46Gvb+Nb8kZnzvf3ExzmeHKWgC3spjCWWFN6Tj/iTvtTIIxf/42P66cOHlJXObkMOpvg2dTbnyMQvbGzN585v/EA+OUpb10dssNV5Jg9b7NCbedX8aWcvSQxHHLo/Y9pnnpHBd+rMX3wjjyn0EX90xLfmTWxnXAPE0vMtTNJGf+fgKM9HzOmPTeouMGeOtT362dfICQXmWWMZS1/WJTojm/5VjRyxxIf5ztxMX8ajN982+DAXMwdYX2GG/IrD0Zi9OOPf3ppGZs7Do7lLDMSVOHhmDAWmzXp+X4gnsvEvzOY7cuQ1Z4GcTbb2lLkH4Qe/LnmffvT8wQ/ekSHGzB/ytVWQDRPWPD723oUO8tA65hhkmF+ZL7w32y3bt7R3fLfIt8x/v2bdesPzM0ZvUP+vCCAzifr5X4GdB8YxZqskBpKaydOytGVCTl3ozWSnZkJ06eRm0qW/x9KGH4kRm/mw0McCiR0mTxZMdGVi5X3WiXG28x6eiQ27Mw4mLTYiu9KTNmy174yBQwpxtP/Tt+aURZaxs2bBZTHNPt6xhX3KI9wYG+7RT2ztM8/JG5w6dsa0j+1P9FHDe08HMvSjqwvjyMtWwV77377OvKCj/ei5G/2JPb52PLShv+OHefOf/sdmfGTz7LkSu7fW7U+P6bhWzJiP2biJY+4Dcx50/ttOnpGPvr2YjuY3+tp2z6XY6pr4wzLtPT45St+s6WcOp6Cr12raj2r4ZM+cOVnpPFo38WvO9Z6jxDnnTvKOzeQD35mjM8dHMcWHyBFj7z1ZG+mP7bxTIz/nTq+JIw4rdq2f58k7/e3PR14D5Im50KWZ0D9z0LIzz0fM6edHbnv+Mf8zx1b2kGUM+c9FBT+Y4xkXv8hX76tp73q1N/Teg432DzvMN+qt9YAfvY57L7hlDP5txRnOe2samRWLOab37xWHcGoeaeu698qVnh5PzslLF2KlfVXwMfsF7NDPL7GQn/BtP+Z8zXvPB/TOOd8+0NdzrPvyjN/4kzLHYCP+RQbfmUPPltX6uFXnS19emDANDagk8NaC7F5iAy6Tgvf5i72pC72ZrNTTDm3pj/743WNpw2bszInSHzX0Tf/yHt2zpn+r4Ad2OzYmcXzpTS+yW7pon7ZmnJPTlMdut7EhsIExD7KRxv6RP23rEW5b+vEnfPC1n+Nbauzyo/Rz+qmZ35Eh92yKtEVvZPsj1nlJ/6ynvfZ15oWxHW8/t96OHf3IUWbe0pb+6Ut0duxshuhn/sGhN+jI79W32IDB6sdYCnHE59jiPf20Mb4LfmafQpb+yO/FtLLVenlu2zzPOdHyq/h7/CpHzCPGwZz51bGt9LW9PLMukc1aRUf8pB0fUlY62+ZKbosTvkd3xxkdtDGW/PRBgznH/Doqe2w6xujpOPo5/cyFbocb8yal+9LWvPo5/bPekul1hp3Vj7GUFe/Jd/r6/7drLlay1EoWHRewARfwAROwARfwAA/wAAuwAAdwAA/w4c7a/d6BMzHKT3U3kJW1tVaRWVIoPjtCKqkvV1kDK9+JK3XC+PR9L89bPMO9x6kxckzrGpv2GM++wJrphr6uCcaoVfr3Wmq9ZSaL9g8bsR0mq5pgjNZx8v3MHOS24py+vRn577+OdK7ynvGVj/SFD2uKOImNvCYf7cvW7wu2oueIJ3LTt8koPvMkXuzSyCcfcpB9CH9zvmk/wjm65vfonr5EnucqFrikrhjnjNk65hxi22Lftt7zjt73tnfP/IjRM86STA4z3SbUHlu9by0SZNlwc3Pck4veKYMvKfajYp5F13PRD0tkaBRWfmwpsBQ9Y3sL5G3y4j97ecIOnDs2bGZjwzabAO0M+2lrxjk5TfnJCbv0MY9a4JMN6ciftvUeblv68SEbTedtxoLvbbff34D+9z/80PUPFnWJLOypz9hCJnJbvrXeaa99nXlhXuvs99ZJ7KlT9CNH28pbxqcv0dmHqvRRf/TnRyj9R889G+G2ylHrJY74nH6+ozutdbA2yBHrBRuZ3/LMW8UU2ehdPds278zZaqv4ez5z2/esJ+YRBz72+ErftJ088WQ+tYqO+IkOfEhb6WybK7ktTvicvbHjjI7mhRy+ZW/NHhLZ+Txi0zFmbsfR7xnHZvfDjLWe1mPpa179nvH53JLB1iusgVWtwCQ1+NlroHmzB7AGaOwJqbFVXqlFfKLOujEP+flpfS2f96719E0W+JoayO8+slMu8/vZcZ6dg9xWnFs2e02vZFYs20/e4U6c5ANuyUnk+J59K+ccxmBInHnHfrf2B7nUVGQmo/TnmTMdNln3sIn9roP2A5sd8/yO7vYrtvo5ayPnXvZEfGY+PDqeOecotrb36HvH9/DcRydE/iNGo2PvCTBsrD6MnWl7iUVHiicJ3dM5dXWRoauTjx764idzm1fPRZYxZNIoJhbZLCL68oMd2aNn221Z7GVBzdhY9CyujDNv+tK68j5tzTgnJ+T7B5zNa+qIbp5wCVM4zI2pZdvWe7hN39E96wRfkzeYdSzIt4/tT/vZPyTdzzs88IPGpowsNnqzm3PyHXthRV/7uoqNvsTCuui5zMdu6+h4mDfz1jWVWo5veRLPtJMxnsQZn7p/9d7+9Hjz7feWyXv7nL7JquNkjBx1w+czMc311Try3ra7ljLeT2xmP0t/+9I54n3W0Fx76NuLAxuwyCGN77xv1QjjK51H6wZfkWk76CLWHMaaE2M0+phLIzbkqUP2kL12hk3HGF1dF9RZbGcc2y0z9/EjDit20Z0nMsQ9W9d9v085vuP31DH5dhyMXWUN4DvxdeuDGePxnfeProHOCesZfeS512HstU/IId/z92qz5VpP3ld7Qw7wkcnvx8zv/E2LfD+n/TNzmL+Kk358OFrT00/mHdVu+8x79qPZn+/4hx1a1/gRT3jMNTIZxUae1ATrBJtpWTu9J7Uf+Nb1M7+jZ8Up+nmiLzHyHT/bHn29RlZzqM25XyH3Ga3je1TfZf/lZRXITMRKpvtWiaWgSeD8sUA3BZYfSQqNxcJCpU1dXWRHxczcTtIsIMa6wLBJkc+NGN/wOz/afOe9F0THz3vbzRjFiJ786MzYKGZ04mfaGfbTVjNCz+TEgshGn8NcdOATPoR/mOA7jXFiCDfG0RV9bes93PC9GcV+L/zOG/baX/LC/NQT48jTTx8ffO3cdTwZTzzEzDt+hcEbiI3/YI9PWvs684IMfWFJLtqXxN596GYOjXnJW+zRl3FiYW7XLbHQFx950odsdDKO7TON+Ud8kekc5cCxtQ6wO1l1nNRv/E/9PRITujtm/OiY2zY8GUuOYo/5tOSMJ406xdf4x7z4jkzvbdnrMs585mXum8LFf9qfsOw+bHZ9r3TS1zmZ6yZ+E2dqITL53pziJn3MTcNG20n/fJ5hA6fWjY5mh39tC1l4RwYbWQuxf8RhxS5z80QGG+hmHWUPwZe0aSd5u8MaIEbqL/sjMcGDWqCllng/k+cj5nM8Nda1kZy/OfDfddm5T532eoxsnuRxngUyxhN7c93198iyhvAxfNKPD3Mfan9mnMw7msP+s4oz/sJlb00TU/IWP49qF/m2yXu4MbdjDLPVHpIxnvG3eaJr5Rv9W41ahD0+pPFOH7WYht7WA6f+TZz1tOIUXTzRlzj4DhN+t7I/8J3YOp45B1lkwpbvvOP7R9uM5xF9T315ISl7wWccmf6QvBRtYJEQiilys6hmkXSRHRVz/IgtCpliiO88kemG/hRL91PojMXPFGLL9Hvk+klsbW/Ghg3km9Es6LaRd+Z0a0b0T075AWEePhFv60CezYc+ePWiRh+bcI/35rSy9Qg3ZNEP39jviwv26W+OjCevzO9NCX8Yb5mZu2xw6OXT8WAPW+inVo8a9ppX+zrzgi76OhZ8CVuefG+Z5ss89HejD/m0rltigEP7mPUXfrGZ+SsbGeOJriO+kWsb/UM+fUZ+suo4iYm6pQ9/8QF95I12FBPjqS90oAvOadP2Xr0zh/jRE749f/KbdZi1mDXfuYk/89n+xHdiD1N0pYawv6WzfcHnXjfJCXtDdGGrZTrO+Egfc9OwTd+Z1v6Qn8kGxq0bnfR1w17qLDFFBv3h3HPabuZkfItdxnkig47WM/eYyMU3mCZfjIV368UXdKclDr7D5kprgFgSG7HDInkntvZ9cpp5PmI+x1Oj4cSz7a3YZo3g617rdbWS67VITnsfiTz2YTNb9il85TPX14yT+XtztuJEL/MyHl4rm5GZvuJL8jtrl/zBMXH0Goq/PbcZzRrf44kPqan4t2KUsTyx3WsN+8TQbfrBd+JBP0x477bFKTLMRyYNDmGEP9RV6j4ycw79yMQXfEAHuj7aZjyP6Pu/JB6Y+RGjD5hRVAK3IHBmczsKlI0vB+Mj2WcY58esf0A+4vNn8P2Ifef+PQSOfpzPWj06/J3Vc2U518CVs6NvIfBZazr6fD4vgY/cI7y8PG/e9fyJCHzGwYK/0vAXkGdr/HWRi0r+2sxfbPirG3/5+Yy/3sDjM/g+G9dX8PczDjrUHbV29+YauHuG7xHfZ6zpe5AwCi8v1oAELk7gIwcLDvoscv43h2dt/c/wxMI/O3/mRewjfJ+V6Sv4/dGDDnU2/3eNu3JzDdw1s/eK66Nr+jkdo9QAACAASURBVF40XjsaLy+vnX+jl4AEJCABCUhAAhKQwNMQ8PLyNKnSUQlIQAISkIAEJCABCbw2AS8vr51/o5eABCQgAQlIQAISkMDTEPDy8jSp0lEJSEACEpCABCQgAQm8NgEvL6+df6OXgAQkIAEJSEACEpDA0xDw8vI0qdJRCUhAAhKQgAQkIAEJvDYBLy+vnX+jl4AEJCABCUhAAhKQwNMQ8PLyNKnSUQlIQAISkIAEJCABCbw2AS8vr51/o5eABCQgAQlIQAISkMDTEPDy8jSp0lEJSEACEpCABCQgAQm8NgEvL6+df6OXgAQkIAEJSEACEpDA0xDw8vI0qdJRCUhAAhKQgAQkIAEJvDYBLy+vnX+jl4AEJCABCUhAAhKQwNMQ8PLyNKnSUQlIQAISkIAEJCABCbw2AS8vr51/o5eABCQgAQlIQAISkMDTEPDy8jSp0lEJSEACEpCABCQgAQm8NgEvL6+df6OXgAQkIAEJSEACEpDA0xDw8vI0qdJRCUhAAhKQgAQkIAEJvDYBLy+vnX+jl4AEJCABCUhAAhKQwNMQ8PLyNKnSUQlIQAISkIAEJCABCbw2AS8vr51/o5eABCQgAQlIQAISkMDTEPDy8jSp0lEJSEACEpCABCQgAQm8NgEvL6+df6OXgAQkIAEJSEACEpDA0xDw8vI0qdJRCUhAAhKQgAQkIAEJvDYBLy+vnX+jl4AEJCABCUhAAhKQwNMQ8PLyNKnSUQlIQAISkIAEJCABCbw2AS8vr51/o5eABCQgAQlIQAISkMDTEPDy8jSp0lEJSEACEpCABCQgAQm8NgEvL6+df6OXgAQkIAEJSEACEpDA0xDw8vI0qdJRCUhAAhKQgAQkIAEJvDYBLy+vnX+jl4AEJCABCUhAAhKQwNMQ8PLyNKnSUQlIQAISkIAEJCABCbw2AS8vr51/o5eABCQgAQlIQAISkMDTEPDy8jSp0lEJSEACEpCABCQgAQm8NgEvL5X/H3/88Quff7N9++23X3799dd/3AUKIXb/+OOPL/hB33ffffe3+9K2P2qM/OH7Kzfy+JGF/crsjF0CEpCABCQggWsT+MgZ53/eG9pHjL7X5pl5V7i8fOZB/kzMKxkOv998881q6PJ9Xl4unyIdlIAEJCABCUhAAu8m8JF7xD96eeFfA/hXABzm8/3333+hL41D688///zl66+//vLVV199+f333zP05zOH8ujggP7bb7/9OZ7Lyw8//PCmAzn+it+6kM+/SmCHOd1++eWXNx+Yiy8//fTTn8P5i3j8jP7EEb94Tr1Rgm1sEH/k8Tc6kOO9x+HWMUQH/ueSgi78w270po+5zZ64iCFt2pu5gRl2ohdd7W/sRF/zn7bwHT+79Xz8RyYN/ujYso1sYsbubEc5Q37GP3kz3vxWdZea6NptDvjZtbpXh/E5scya5LtNAhKQgAQkIAEJPCMBznTvbe+e+R6jHN5yKM5hsQ+pHEA5FHLQ7oN6B8fBsA9uzOFQmcZ3ZHIZiJ0c8JHjPRcSxvmewzRPDsr5jh9znNjxm7mZH33oZzzz41c/mdsH+tjogzcyiYG56G9WvIdlWLVd7Lc8jGCDvzTG4ZSGreijj3fkacxBNjHynfdm2raZx1j8ysUnecOvyWfOj+/MhVUO/dgmlviCf4yHXWy+Of7f/2AL/ehkPh/8ax2MneWN2lwmYq9jXvUxB3twxD6tfYhP4RKfkWOMeRmDRefuTZn/kYAEJCABCUhAAk9CgHPZe9u7Zz5qNIfQ6SiHsD7s5RA65ba+c6DrgxyHyBx8e05fSNpmy/DOoT2H7IzxPRekHCrjMzL8xb1t9kE8OvqJbC4G6UdfmPLeF4PI0JdDPDqmn20XP9un6Ogn8tFHfP0vMS3HoRsue61t7/FFB37lIB6dPX8rh5FlPPmgj7m5EESmn0c5O+K9VbttA59m7a44NOfVeHTGZ76fsZ95PiUgAQlIQAISkMDVCXB2e29798xHjXIYWx2m+yDLAZDPUePQngMsl5L2ZUsHB8vozv/eQx9+dcMf9M1PfO9DZebN2Jg79UaWZ8fc/VxOmBcb04fWu9LR49Mn7HAIhgEXEWy1fA7Iubz1ZWCLafveunjfa0e+Yy+80YMv5Cz9HPp7/MheeLZPzSfj6Jkfxlq2dfT7itHKr5bbq8P4FBvJGRdJcmWTgAQkIAEJSEACz0pgdUY6G8v+KXNHy6NGtw6AfZDtg92WaQ7dfJDlEsMBsH3Z0sFFpf83If7ajix/CecwnANh+7PyYR4qkZmx4Q99W23LBnHhx9S30rPS0XanDuLP/14FM+y0PDa4JORfWWCCHG2LafvVunjfa0e+Yw8ZGnnCF/JEP3ERS8aRObLHnCnTfPp95ffROHNWjKbNldxWHW75jJ2sgb5grvy2TwISkIAEJCABCVyRwOqMdNbP/VPmjpZHjXJY5vA8GwdTDnC01QGw5TnQcXDrxgWmfUFHH2wji+1cUNKXJzoyh79w9yUnMnluHSozHzn8QW6rIYuf3XJIp6/fW6bf0TFttF3Gpk992OW95Vs37xnnPReaKdPfW1fntGXyjl+5GNEXW4mnc8g7l5Vun315OeK9VbvtE37OnK449P821vN57zqEBUy3GgymvS1Z+yUgAQlIQAISkMCVCOydcY783D4dHcx8j1EOrVwOOKzy4b0P2KsDYLuRQ2QuOxz2Vv/bGL5x4G47fenhUJmDcvzAFxr9PY4txnKAXh0q6es4eMe3rcY4NiKDDfyLDeYhE1Z8T6yJnfHEEDvEnb7pU8cER+x1H/r60sZ7LpswQjbjfO9x7Ldt8oj++Bp7ubAwl/HkB9tzPn00ZDnwR5bv+JLx2H4T3vgPLNDfbfJB3xHvOY4fiXFVu5NDfCcWWvOnD/18aO0z780z9RKebxP8jwQkIAEJSEACEngSAvNc9ojb//dE98DM9xjlgMZBlLl8+jCI6dUBcLrEAZ9DH/PRNS806EBmyuXAiD4uAhwGt/zIRYFxbPWlog+V8W0ehPGBuX3AjixP+jl4hsW0gUwOs/ERf4k1DR3Y7YZs+qZP2MtFD13ECP8cgNEdf+J72+O9mYV97Ldt+po/dmGSRmz4zxzG8KHnIxt2XTNwwmd8ycUKnczda7CYMpPPEe/2A11hGLv43DGmvzkQUzPdq8PpM7qTPzi0rSkb2z4lIAEJSEACEpDAFQnMc9kjPu6f+nY0fcTojtqXGFpdPF4icIOUgAQkIAEJSEACEnh5Ah+5R3h5+RfKx8vLvwBdkxKQgAQkIAEJSEAClyDg5eUSaTjvhJeX86yUlIAEJCABCUhAAhK4FwEvL/fKp9FIQAISkIAEJCABCUjgtgS8vNw2tQYmAQlIQAISkIAEJCCBexHw8nKvfBqNBCQgAQlIQAISkIAEbkvAy8ttU2tgEpCABCQgAQlIQAISuBcBLy/3yqfRSEACEpCABCQgAQlI4LYEvLzcNrUGJgEJSEACEpCABCQggXsR8PJyr3wajQQkIAEJSEACEpCABG5LwMvLbVNrYBKQgAQkIAEJSEACErgXAS8v98qn0UhAAhKQgAQkIAEJSOC2BLy83Da1BiYBCUhAAhKQgAQkIIF7EfDycq98Go0EJCABCUhAAhKQgARuS8DLy21Ta2ASkIAEJCABCUhAAhK4FwEvL/fKp9FIQAISkIAEJCABCUjgtgS8vNw2tQYmAQlIQAISkIAEJCCBexHw8nKvfBqNBCQgAQlIQAISkIAEbkvAy8ttU2tgEpCABCQgAQlIQAISuBcBLy/3yqfRSEACEpCABCQgAQlI4LYEvLzcNrUGJgEJSEACEpCABCQggXsR8PJyr3wajQQkIAEJSEACEpCABG5LwMvLbVNrYBKQgAQkIAEJSEACErgXAS8v98qn0UhAAhKQgAQkIAEJSOC2BLy83Da1BiYBCUhAAhKQgAQkIIF7EfDycq98Go0EJCABCUhAAhKQgARuS8DLy21Ta2ASkIAEJCABCUhAAhK4FwEvL/fKp9FIQAISkIAEJCABCUjgtgS8vNw2tQYmAQlIQAISkIAEJCCBexHw8nKvfBqNBCQgAQlIQAISkIAEbkvAy8ttU2tgEpCABCQgAQlIQAISuBcBLy/3yqfRSEACEpCABCQgAQlI4LYEvLzcNrUGJgEJSEACEpCABCQggXsR8PJyr3wajQQkIAEJSEACEpCABG5LwMvLbVNrYBKQgAQkIAEJSEACErgXAS8v98qn0UhAAhKQgAQkIAEJSOC2BG55efnxxx+/ENjWh2x+++23X5D7zLay980333z59ddf/zQT337//fc/+/rl+++/f/O7+67+TkzwfG/77bffvnz99ddvcf/000/vVfPnvF9++eXLd9999+f3V36hJrv+noEFtbTn85Viovb39pG5z/zwww9vdf7VV1/9balofnCE12e1j6ytz/bls2KaetibydOZBo+ff/75jOibDHvdZ+bjtOH/Ch7ZJm5qE7n523XWVjM5Wh/o5Dfvjz/+OKv+bW/fW3OnFb1D8CgeaiG/ZXB8r5+P/H6d4QdfdJJXPrxvnUHegeX0lN6bVpM+i99K96N9RzlgPyMeWtf8WTucdTL/7Bzl/iJwtJf9Jfn/3979i/gRo//fjf2eLrCWpGjeu7G0nn6fcbFhsBjZxChuGjaxvTqkI58fjtZ79ffE9F4/mX/2sHDGxkf9OWNDmb+PAOuIdfsM7dF9hNgeOai9h8Hfye8ja+tZLi/k9JGDHYeco5yiD3b/9v4+f6O6vtiDO3Z+u5B/hAUcuPSkETOfvUZdHMkwn99QdMPwjPyezfeO7cWTP8LxpMGNi0x++8/axAbsz7Yz/OBGfskPH97x7Z9u1NfW3v5Z/D4jpjM5IA7iSTuzD0SWWKnjnp8xn+cI7O1lRxqe/vLCAqbggEAhzQ2DTSd/ReG5unA0pC2YFHk2iiyKfO/56MenLT2RzaJBFr/je+wwn7G0yOc7T/zohTNjnRtubKEb35vV1MXCRDey+MbcrR/3yCHLh4Zs/gWKPnLUP6C8J2+Mtz/4El3Rhw0YdGMsfTwTA/2JfTLp/E8fj/76hQ/og0d+3I84rWygA11piTHfiaX7Ok5iJG/wwo8wpZ/vyOJbuKCTMfIX3szFb1gwh0/XAnP2uMW/+IFN4kl98D0fbK8a4/FxMtyaEz3MbdvEBgd8YKx9Yc7U37WcOZkXG/1EBp8SN7J8Vn4ig/zkl1jRCyd8SL548j0t+mMjdjM+a2quLeaRW+qA9+Sb+fjc+umbfFZxxXZ8af6TNzKxjS3esUHDl9RsdBIPcqkf7IfNrGXmIIuNrcYYazntiDdy5GsvbmTQiUwYRP/WkxwQb3iTp8TIHPq38hSdzQLOcGTeVoPb5Ivf2DnbsNn7Ad/5dM3iy7Qz62DagxsMUm/o3GtHeUse9moxtmAGm8RyZLv9ypzu23vHb+q2G33Zf/Gl10Tk9vgRB7U0W6/tOUZ+2iayM6/Y7Lz2PoS+uY/xnTmwP9vew6/9nr/L2McP8jk5x6etHKAL/nx4TzyZx/eztYFt1hX+2N5HgDy8t7175keMPuosC2VVIPThBwVHY2FS0GnMY8FmobGYKbh8j1w/9+LKhkNxx6epKzJ7erDHPGSyUHox4icfYmHTivxkwNz0sViRjz/MaxbI4ht6aYzzPexWurLRoZuFHl/fFIz/MNbj+MVGyFzaXORsTshnHL+nv4mN+bwntpiGX/p4kmviQSef9EVm5h//emM8ihEfIo8ubODzHqeeEw7M6dhmreBv93WcMEsek0v60JfviTtsGW8dxA0rcoBMai9cM3+LW/zDJvP54FMfkNpe9Pazx3tudMV2z8k7c+M7McMz65z5+BVf+H4mRzDaaujrcexvNfzGHv4lH/hCX3/vcfrxP2sd3c0nvGMTf/bWFnNbHzWLvbTUS74/wj++7OWeWLOvYAN7sQ+LZsk46wcfI4vusMIesZDHsw1dbR+bR7zRjZ0zLQz2ZMll5wD/8SF1ydwzecpaRz4s9upv5dPksZLpvsmbfJHT1ByxoBPfuhFbx9dj832uqTnO96O8JQ9btZi1H5/iN7HMGlzZpy/MeZ5t1DOsuuEjzPCBRn3COXVO3yP8onvmKv08qTfijE1iIPY0xqil+JozQ/ahyCd2fCXn6EhfdG09kcPHs/LoaVbJGX1pPd78Ms7zTA7gTSytm7n4e9RgxnzimvOP5jr+F4FH97K/Zn75sv0r3FKL948YXajb7doqkBRxT+6Fstq02TTyQ9rz8r4XF/bwhUXPp390mc+iz4a+pwdZ9MxFwhx0pmEvP8IrBviQhZMfy8ydTxbp1kJHtnWtFj6bSG98U3+Y0J9NbsrAJhvjHOM78We8/WEs7Hse8nCh8Qz7yBzlnzpo3pm39ex8IHPECQ4wy49H9OJX8kbfrBVi6b6OEy75sYk+6mjayOaKDHOwmRb9XQ/YiI4jbqv5sJgxIbfVOqaj2pw6mNu+Y7fja0ZHOUI385mz1eY49rcaMW/l/MhGDlnobj7hTf+ZtcXcrmvmtM/40bl6hH98af4z95NNmNBPjc19j3WLDO2olqfu1fcV/ylH/M2bcfaD+DHl+3sYdN+Zd7j3b89RnmAx/YF15/LILvPnvrg3p3/DIjfrJf3TP+Z2XUVu9ZxraiWz6uu8JQ9btbhVl/i9txaxmzUD6yPZ6Sc5zu82Y3DB5lF7hB+68Gv+FhzZIB7sZP70i3008fZ79IbLrMuM5xm5R/ltseo9ihpovrHZz5kD/FntC8Q4a/ZoHyD2zOn3tu/7OQKP7GVT4/av8JQc3z9idKg6/LpVIBRQFlqU0JeFxTt+zk8KL3P6uRdXdGMzdln8OfSxkeTQsKcHe6uYmBPfkcFe7KzkGetYWIj8UPGjnA0qsR3507p4R371ib75ZA4fGr6u5tLX8eEjc+J3j9PfsYV92235FR/mrPyI3myU2GczTB7bRr9PH/BxpZ8+2son+rEVH/ge+bdJxS/fGQ83bPLptuVD5OYcdE2bbeOI22r+jLX1ta9573HWDOuI9ZM4I7d6Tt/xN7Eiz3v48o786hPdc37685zj037keE4OGZs558eUdUrM6Ednx8D3sOAZm3nn+/xEvufGfubzvfnw/RH+sR+9POkL7/QTL3Y4CJDbtp/1hmzWYObNmPK92UR269m2InPEGzlsnLGzYhA7/WQ/gS064cPhqTnhJ7q6te/9Hhl0rvoz3k/qi9+Do32t56xyucWF2p28zvoGhzm3/cj7Xt5WeWj/H/E79uYTdtQrsZ5txNZ5bZ+OdJzhF5/w66g98huLrmY244it/mND+rae8fUsvy1W7Uu/b9mdMlt6576MvmYw9RMP8VOXtC29c57f1wTO1Pt65g3+5WVugF20/b4FYPbvweRHOJtB7LKB5MLSN/s9PdhcFT1z6E/D/9hZyTOGTDfk6GeB9Q/XkT+ti3c+j7Ses/J16mIzy4EVfnDt+Nsf5q5y2fIrm6s50w82I37kySP5Sy6n3MqHjnklv/IJublhztwwr/s6zpXNll35MedM/cxpG0fcVvNnrK1v5dMc58cAPznskgfqYavNePGXuWm800ebsUemn3N+j/E+x6f9lp8cMkbOiY3GOzFSc9Re5nQMzad5RzZ6V8+em/H2uflk/Cz/9iVzp0/Ze7BDrKypto98WIRBdLVc+h59Th1neGPjTK0gt2IwfYQnOSZO9DKHPS91iTx+0t+tfe/3yLBfrfozzhMZ7J49MPZc/GkfGdvign7qt9uRb5Gdayr9/TzK2yoP7f+e34ydbWeYty5i67y2Ty23ej/ix76I/r3fqeh99DeWec1sxhG9rO+OL/1bz0f4bbFqX/p9y+aU2dJLjSHbrRl0P++sK+akbenNuM99Akf1vjf71v/yMn8Y90BkbAsmRcphm9bFzWbCYmYzwV7alp6Mr4qeOfSnsaiyybb9jM8fw/TnyXjm80OavxZkvJ/IZRETSw4XLbP33kzyw70nT6xsamnZ4BJ/+4MMvvWGPeVXPB/Nf3TGp/nEh/jH2BGncOg4mYdfYc13WHRu2By7froumnP8y6U63+dzziGG1h8fEtsRt9V8+mZM0Tf9mfbm+OoHpWWm79glxrSunaMcMWfOj5485/i0HzmexMxaW+U8Bz309Q8g89hDOobOefNOTbXN+d5zM9Y+N5+M93OPf/uSOfQRE413Yuk265kxZNg7qd1mdVTLrXfrvWNF5gxv5ODSOdjSv2IwZdHD/ttt7tdHeYIFtrpRzzO+HoflKt6W2XvvXEZuq15WudrzLfp44uMR61UcvU5WeWj/YYWO2fD7yHbPObPmWh6bnbfUectsve/xy8WF55mGrl5bvNMX31Z5pS9s+B3Ie+zBonWkf+/5CL8tVn1+mXxXtqdMfGgezJu/xfQ1g6mb2Lc+U9bvxwRg+d727pkfMfqos70h9VwKdC6uLlrmUfRZrBQwxTp/VFrnKi42QfTkwDGLmw2VT+ygb6Wn7axiYk7rmPHhA77QciBAhsY8fCBGGk++Rx6fe5xNYo5HFwscWzls8Z135LfaZIIuWGezwF9+NOJf5yW+dF/iib3YRx8f9DevFU/6WufMPzoSI3Z4x8ethjw60/DjiBOXwOaADeagKy0yfM/m3fXTcU7OzNnK7Va9EkPrR0fbOOK2mk9fx8R77CfOfra9zhFM4cVnq03fsQWDNN7jy5kcIb+3J0z9037s8gwb/E+tJ+f5Tr7jb2oSBulDT/OLzthhrGtqrq1mmzntM/p6LT/Cf/qSmMM79ZtY41vbZw77Ej7MPMOA/szP3rBXS4kxT9YweU87wxtZYiC+o7ZiMOeQc+ziB5/UQDghf5Qn5jQL7BLbZNm2sQmz9za4d22gh5xgE38SD3mbcvjX8e35gFzX+0r2KG+rPLQP+Aov/KbxHb/nWmvbqcvUH0983dsfej7v2Jj1ig768YHGOH7EDn3t+5tQ/Yd56Mj8Gtp87XWdddR98EdnN/qSF+a0fGqj+3ou75/Br1klZ+0n77Daa6scUE+dg9WaROcZ/bG9l7PI+NwmsLeXbc/6z8itLy+E2D+eLLqjTQiY88Mm3YulFzg2WATz0HuUlFXRM6ftsIiykWCHjYEYkGMhEksvamTz44Zcz2U+8pmPXI/z3rrYuPgeFtjb2ziZ3/qy6WQ+DPtHlVjiK2PkiY2FfhobZcZhgr74Qz9yzWvFEz17+ccf4oqP6G8f3xyp/zDe+WHoiNPkkE0VXWnoSKywoJ7wKa3jnJwjQ3/nNhwZn3OIofUj0zb4vsdtNZ++jgmb6Oy++DrtYYu4kefTPzA9J+/IdMMG9tJ4b7tHOcJ+2EVHP6f+ab9lwyF7ArKz9vEn8ZJ3/CVfxJ3W/CbvWVNTPzaZ0619nmvrEf7TF2wk5tjrfYb1lfrugxoxwJyx2Yg9+chab5lVfD2eNZa+M7yRxdaZtmIw5xFf9hZiwadwiOwqjs4Tcs2COkTHlIm+jDE+P+ihnfEdDvifxlxyOvPaMshS83zOtLmmVnOO8raKZdYiOrAFD/JALPmsbNLHOAwyh7i7MY7OrcZannO6HtDLmmXdddvjx9jMab4T86rhR+KIPeowvw2rOCYbfIwOnnwn9i2b+HHE7yj3kxU+d60d2ceHrRygK9x4TzzNjzjPtllvZ+cp9x8C5OK97d0zP2L0vc46TwJ3IOCGd4csrmMwt2su/2QvB1YOJo80DjGPznlE/1VkOQRykN1rHJRzwN2Tm2Po7QvqHL/Ld+qLi+leO2K8mvsq/PYuaSsu7+17Tw5eZR94L9PPnveRe4SXl8/OhvokcEDAA+4BoCceNrfXSB6Hy0cO0sj3X3evEcXnewGT+a8C0woc9v5lYcrznbrnL+6v0LjYccjda49eAF+JH/X3yNrc47w39mgO0PUq+8Aet39yzMvLP0lbWxL4IAEPuB8EeOHp5vYayeFwdPZfUjiIctCx/UXgUSYe+v5il7dHmDwiG/0+jwk8wvXRmj+2rsQRAS8vR4Qcl4AEJCABCUhAAhKQgAQuQcDLyyXSoBMSkIAEJCABCUhAAhKQwBEBLy9HhByXgAQkIAEJSEACEpCABC5BwMvLJdKgExKQgAQkIAEJSEACEpDAEQEvL0eEHJeABCQgAQlIQAISkIAELkHAy8sl0qATEpCABCQgAQlIQAISkMARAS8vR4Qcl4AEJCABCUhAAhKQgAQuQcDLyyXSoBMSkIAEJCABCUhAAhKQwBEBLy9HhByXgAQkIAEJSEACEpCABC5BwMvLJdKgExKQgAQkIAEJSEACEpDAEQEvL0eEHJeABCQgAQlIQAISkIAELkHAy8sl0qATEpCABCQgAQlIQAISkMARAS8vR4Qcl4AEJCABCUhAAhKQgAQuQcDLyyXSoBMSkIAEJCABCUhAAhKQwBEBLy9HhByXgAQkIAEJSEACEpCABC5BwMvLJdKgExKQgAQkIAEJSEACEpDAEQEvL0eEHJeABCQgAQlIQAISkIAELkHAy8sl0qATEpCABCQgAQlIQAISkMARAS8vR4Qcl4AEJCABCUhAAhKQgAQuQcDLyyXSoBMSkIAEJCABCUhAAhKQwBEBLy9HhByXgAQkIAEJSEACEpCABC5BwMvLJdKgExKQgAQkIAEJSEACEpDAEQEvL0eEHJeABCQgAQlIQAISkIAELkHAy8sl0qATEpCABCQgAQlIQAISkMARAS8vR4Qcl4AEJCABCUhAAhKQgAQuQcDLyyXSoBMSkIAEJCABCUhAAhKQwBEBLy9HhByXgAQkIAEJSEACEpCABC5BwMvLJdKgExKQgAQkIAEJSEACEpDAEQEvL0eEHJeABCQgAQlIQAISkIAELkHAy8sl0qATEpCABCQgAQlIQAISkMARgX/t8oJhPzKwBqwBa8AasAasAWvAGrAGrIFHauDogrM1/j9bdd0o+wAAAbxJREFUA/ZLQAISkIAEJCABCUhAAhK4EgEvL1fKhr5IQAISkIAEJCABCUhAApsEvLxsonFAAhKQgAQkIAEJSEACErgSAS8vV8qGvkhAAhKQgAQkIAEJSEACmwS8vGyicUACEpCABCQgAQlIQAISuBIBLy9Xyoa+SEACEpCABCQgAQlIQAKbBLy8bKJxQAISkIAEJCABCUhAAhK4EgEvL1fKhr5IQAISkIAEJCABCUhAApsEvLxsonFAAhKQgAQkIAEJSEACErgSAS8vV8qGvkhAAhKQgAQkIAEJSEACmwS8vGyicUACEpCABCQgAQlIQAISuBIBLy9Xyoa+SEACEpCABCQgAQlIQAKbBLy8bKJxQAISkIAEJCABCUhAAhK4EgEvL1fKhr5IQAISkIAEJCABCUhAApsEvLxsonFAAhKQgAQkIAEJSEACErgSAS8vV8qGvkhAAhKQgAQkIAEJSEACmwS8vGyicUACEpCABCQgAQlIQAISuBIBLy9Xyoa+SEACEpCABCQgAQlIQAKbBLy8bKJxQAISkIAEJCABCUhAAhK4EgEvL1fKhr5IQAISkIAEJCABCUhAApsE/hetNao99sT9OgAAAABJRU5ErkJggg==\\\" style=\\\"width: 529px;\\\"\\u003e\\u003c/p\\u003e\"},{\"header\":\"5. Conclusion\",\"content\":\" \\u003cp\\u003eIn conclusion, inflammatory myopathy showed a statistically significant correlation with positive N-CAM expression. The strongly positive N-CAM was found in inflammatory myopathy and muscular dystrophy. The weakly positive N-CAM was found in neurogenic myopathy and nonspecific myopathy. No case of mitochondrial myopathy or non-diagnostic myopathy reveal N-CAM expression. All positive N-CAM cases had regenerating muscle fibres on muscle biopsy on thorough review with haematoxylin and eosin-stained slides. N-CAM expression accompanied by the pattern of staining could be considered to help narrow down the differential diagnosis of myopathies. We recommend further study in a larger group.\\u003c/p\\u003e \"},{\"header\":\"Abbreviations\",\"content\":\" \\u003cdiv class=\\\"DefinitionList\\\"\\u003e \\u003cdiv class=\\\"DefinitionListEntry\\\"\\u003e \\u003cdiv class=\\\"Term\\\"\\u003eN-CAM\\u003c/div\\u003e \\u003cdiv class=\\\"Description\\\"\\u003e \\u003cp\\u003eNeural cell adhesion molecule\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \\u003cdiv class=\\\"DefinitionListEntry\\\"\\u003e \\u003cdiv class=\\\"Term\\\"\\u003eIHC\\u003c/div\\u003e \\u003cdiv class=\\\"Description\\\"\\u003e \\u003cp\\u003eimmunohistochemistry\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \\u003cdiv class=\\\"DefinitionListEntry\\\"\\u003e \\u003cdiv class=\\\"Term\\\"\\u003eH\\u0026amp;E\\u003c/div\\u003e \\u003cdiv class=\\\"Description\\\"\\u003e \\u003cp\\u003ehaematoxylin and eosin\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \\u003cdiv class=\\\"DefinitionListEntry\\\"\\u003e \\u003cdiv class=\\\"Term\\\"\\u003eORs\\u003c/div\\u003e \\u003cdiv class=\\\"Description\\\"\\u003e \\u003cp\\u003eOdds ratios\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \\u003cdiv class=\\\"DefinitionListEntry\\\"\\u003e \\u003cdiv class=\\\"Term\\\"\\u003eENMC\\u003c/div\\u003e \\u003cdiv class=\\\"Description\\\"\\u003e \\u003cp\\u003eEuropean Neuromuscular Centre\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \\u003cdiv class=\\\"DefinitionListEntry\\\"\\u003e \\u003cdiv class=\\\"Term\\\"\\u003eDM\\u003c/div\\u003e \\u003cdiv class=\\\"Description\\\"\\u003e \\u003cp\\u003eDermatomyositis\\u003c/p\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \\u003c/div\\u003e \"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eEthics approval and consent to participate\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp; The protocol for this study was approved by the Ethical Clearance Committee on Human Rights Related to Research Involving Human Subjects of the Faculty of Medicine Ramathibodi Hospital, Mahidol University (MURA) (COA no. 2019/721). All procedures performed in this study that involved human participants were in accordance with the ethical standards of the institutional and/or national research committee, and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standard. Written informed consent was obtained from all individual participants included in this study.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eConsent for publication\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eNot applicable\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAvailability of data and materials\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eAll data are presented in this paper, and there are no additional supporting files. The haematoxylin and eosin-stained and immunohistochemical slides are stored at the Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eCompeting interests\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eNot applicable\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eFunding\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThis study was funded by a Ramathibodi Research Grant from the Faculty of Medicine Ramathibodi Hospital, Mahidol University (grant no. RF63002)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAuthors\\u0026rsquo; contributions\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp; Affiliations\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp; Department of Pathology, Faculty of Medicine Ramathibodi Hospital Mahidol University, Bangkok, Thailand: Kanyarat Laoyoung,laoyoungk11@gmail.com and Jariya Waisayarat, jariya.wai@mahidol.ac.th\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp; Contributions\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp; The authors made substantial contributions to the conception, design of the work, the acquisition, analysis, interpretation of data, drafted the work or substantively revised it, and approved the submitted version.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003e\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp; Corresponding author\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp;\\u0026nbsp; Correspondence to Jariya Waisayarat. Email: \\u003ca href=\\\"mailto:jariya.wai@mahidol.ac.th\\\"\\u003ejariya.wai@mahidol.ac.th\\u003c/a\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAcknowledgments\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThe authors gratefully acknowledge Mr. Nattawut Unwanatham for statistical analysis. Ms. Natha Thubthong, Mr. Narongsak Mongkonsiri, Ms. Sasithorn Foyhirun, and Ms. Suda Sanpapant of the Department of Pathology are gratitude for their slide preparation. We wish to thank Dr. Phumin Wongsuwan (Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand) in organizing the references. We acknowledge Mr. Phu Waisayarat, a medical student of the Faculty of Medicine, King Mongkut\\u0026rsquo;s Institute of Technology Ladkrabang, for providing English proofreading services.\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\n\\u003cli\\u003eNational Institute of Neurological Disorders and Stroke. Myopathy Information Page | National Institute of Neurological Disorders and Stroke [Internet]. Available from: https://www.ninds.nih.gov/Disorders/All-Disorders/Myopathy-Information-Page [accessed 2020 May 10].\\u003c/li\\u003e\\n\\u003cli\\u003eJoyce NC, Oskarsson B, Jin LW. Muscle biopsy evaluation in neuromuscular disorders. Phys Med Rehabil Clin N Am. 2012 Aug;23(3):609-31.\\u003c/li\\u003e\\n\\u003cli\\u003eWaisayarat J. Muscle biopsy: a useful tool and approach for diagnostic evaluation of muscle disease. Rama Med J. 2015;38(2):154-72.\\u003c/li\\u003e\\n\\u003cli\\u003eVogel H, Zamecnik J. Diagnostic immunohistology of muscle diseases J. Neuropathol. Exp. Neurol. 2005 Mar;64(3):181-193.\\u003c/li\\u003e\\n\\u003cli\\u003eRutishauser U. Developmental biology of a neural cell adhesion molecule. Nature. 1984 Aug;310(5978):549-54.\\u003c/li\\u003e\\n\\u003cli\\u003eCovault J, Sanes JR. Distribution of N-CAM in synaptic and extrasynaptic portions of developing and adult skeletal muscle. J Cell Biol. 1986 Mar;102(3):716-30.\\u003c/li\\u003e\\n\\u003cli\\u003eSanes JR, Schachner M, Covault J. Expression of several adhesive macromolecules (N-CAM, L1, J1, NILE, uvomorulin, laminin, fibronectin, and a heparan sulfate proteoglycan) in embryonic, adult, and denervated adult skeletal muscle. J Cell Biol. 1986 Feb;102(2):420-31.\\u003c/li\\u003e\\n\\u003cli\\u003eCovault J, Sanes JR. Neural cell adhesion molecule (N-CAM) accumulates in denervated and paralyzed skeletal muscles. Proc Natl Acad Sci USA. 1985 Jul;82(13):4544-8.\\u003c/li\\u003e\\n\\u003cli\\u003eRieger F, Nicolet M, Pin\\u0026ccedil;on-Raymond M, Murawsky M, Levi G, Edelman GM. Distribution and role in regeneration of N-CAM in the basal laminae of muscle and Schwann cells. J Cell Biol. 1988 Aug;107(2):707-19.\\u003c/li\\u003e\\n\\u003cli\\u003eFidzianska A, Kaminska A. Neural cell adhesion molecule (N-CAM) as a marker of muscle tissue alternations. Review of the literature and own observations. Folia Neuropathol. 1995;33(3):125-8.\\u003c/li\\u003e\\n\\u003cli\\u003eIlla I, Leon-Monzon M, Dalakas MC. Regenerating and denervated human muscle fibres and satellite cells express neural cell adhesion molecule recognized bymonoclonal antibodies to natural killer cells. Ann Neurol. 1992 Jan;31(1):46-52.\\u003c/li\\u003e\\n\\u003cli\\u003eSnijders T, Nederveen JP, McKay BR, Joanisse S, Verdijk LB, van Loon LJ, Parise G. Satellite cells in human skeletal muscle plasticity. Front Physiol. 2015 Oct 21;6:283.\\u003c/li\\u003e\\n\\u003cli\\u003eMechtersheimer G, Staudter M, Moller P. Expression of the natural killer (NK) cell-associated antigen CD56(Leu-19), which is identical to the 140-kDa isoform of N-CAM, in neural and skeletal muscle cells and tumors derived therefrom. Ann N Y Acad Sci. 1992 Apr 15;650:311\\u0026ndash;6.\\u003c/li\\u003e\\n\\u003cli\\u003eHeuss D, Engelhardt A, G\\u0026ouml;bel H, Neund\\u0026ouml;rfer B. Expression of NCAM in mitochondrial myopathy. Clin Neuropathol. 1995 Nov-Dec;14(6):331-6.\\u003c/li\\u003e\\n\\u003cli\\u003eWinter, Bornemann. NCAM, vimentin and neonatal myosin heavy chain expression in human muscle diseases. Neuropathol Appl Neurobiol. 1999 Oct;25(5):417\\u0026ndash;24.\\u003c/li\\u003e\\n\\u003cli\\u003eCasciola-Rosen L, Nagaraju K, Plotz P, Wang K, Levine S, Gabrielson E, Corse A, Rosen A. Enhanced autoantigen expression in regenerating muscle cells in idiopathic inflammatory myopathy. J Exp Med. 2005 Feb 21;201(4):591-601.\\u003c/li\\u003e\\n\\u003cli\\u003eMammen AL, Allenbach Y, Stenzel W, Benveniste O; ENMC 239th Workshop Study Group. 239th ENMC International Workshop: Classification of dermatomyositis, Amsterdam, the Netherlands, 14-16 December 2018. Neuromuscul Disord. 2020 Jan;30(1):70-92.\\u003c/li\\u003e\\n\\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":true,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"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\":\"neural cell adhesion molecule, CD56, muscle disease\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-27058/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-27058/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003ch2\\u003eBackground\\u003c/h2\\u003e \\u003cp\\u003eThe neural cell adhesion molecule (N-CAM), also called CD56, is a cell-surface glycoprotein that mediates intercellular adhesive interactions in the nervous system. N-CAM is expressed in neuromuscular endplates, nerves, satellite cells, and embryonic muscle, but it is lost as development proceeds and is nearly absent from adult muscle. N-CAM re-expression was detected in a denervated, regenerating and degenerated muscle fibres. Muscle disease or myopathy is diagnosed based on the presence of denervated, regenerating and degenerated fibres on muscle biopsy combined with clinical information. Some regenerating fibres looked like normal fibre and were challenging to identify but showed positive N-CAM staining.\\u003c/p\\u003e\\u003ch2\\u003eObjectives\\u003c/h2\\u003e \\u003cp\\u003eTo explore the expression of N-CAM in muscle disease.\\u003c/p\\u003e\\u003ch2\\u003eMethods\\u003c/h2\\u003e \\u003cp\\u003eN-CAM expression and interpretation were performed in a 3-year retrospective study of 75 muscle biopsies diagnosed with myopathies. The pathological findings and clinical information were also thoroughly reviewed.\\u003c/p\\u003e\\u003ch2\\u003eResults\\u003c/h2\\u003e \\u003cp\\u003eOf 75 myopathy patients, 41 (55%) cases were female, and 34 (45%) cases were male. The mean age was 35\\u0026nbsp;years. The range of age was 3\\u0026nbsp;months to 83\\u0026nbsp;years. The expression of N-CAM and clinical information, including pathological findings, were analyzed using Fisher\\u0026rsquo;s exact versus chi-square tests. N-CAM expression data was performed in 75 samples, 35 (46.67%) were positive for N-CAM, and 40 (53.33%) were negative for N-CAM. The diagnosis of the muscle disease was nonspecific myopathy with 35 (46%) cases, inflammatory myopathy with 17 (23%) cases, neurogenic myopathy with 9 (12%) cases, muscular dystrophy with 7 (9%) cases, non-diagnostic myopathy with 5 (7%) cases, and mitochondrial myopathy with 2 (3%) cases. The inflammatory myopathy showed positive N-CAM in 15 out of 17 cases with statistical significance (p-value\\u0026thinsp;\\u0026lt;\\u0026thinsp;0.001, ORs (95% CI) 14.250 (2.960-68.606)). N-CAM was also positive in muscular dystrophy, neurogenic myopathy, and nonspecific myopathy but was not statistically significant in p-value. No positive N-CAM was found in mitochondrial myopathy and non-diagnostic myopathy.\\u003c/p\\u003e\\u003ch2\\u003eConclusion\\u003c/h2\\u003e \\u003cp\\u003eN-CAM expression accompanied by the pattern of staining could be considered to help narrow down the differential diagnosis of myopathies. We recommend further study in a larger group.\\u003c/p\\u003e\",\"manuscriptTitle\":\"N-CAM expression: The study of muscle disease in a tertiary center of Thailand\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2020-05-17 20:17:08\",\"doi\":\"10.21203/rs.3.rs-27058/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"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\":\"a2bfc1fd-cc6f-46e3-9007-ff2fb182a52b\",\"owner\":[],\"postedDate\":\"May 17th, 2020\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"posted\",\"subjectAreas\":[{\"id\":101581,\"name\":\"Pathology\"}],\"tags\":[],\"updatedAt\":\"2020-06-17T19:22:06+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2020-05-17 20:17:08\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-27058\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-27058\",\"identity\":\"rs-27058\",\"version\":[\"v1\"]},\"buildId\":\"_2-kVJe1T_tPrBINL-cwx\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}