Article Per Year (5 Year)
p-Index From 2020 - 2025
1.94
P-Index
This Author published in this journals
All Journal SAINS MEDIKA : JURNAL KEDOKTERAN DAN KESEHATAN Jurnal Kedokteran Brawijaya Majalah Kedokteran Bandung AcTion: Aceh Nutrition Journal Indonesian Journal of Medicine Indonesian Journal of Community Services Journal of Holistics and Health Sciences (JHHS) Asian Journal of Health and Applied Sciences Gema Lingkungan Kesehatan
Joko Wahyu Wibowo
Bagian Gizi Fakultas Kedokteran Universitas Islam Sultan Agung (UNISSULA)
Humanities Biochemistry, Genetics & Molecular Biology Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Social Sciences

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Effects of Propolis Extract Supplementation during Pregnancy on Stress Oxidative and Pregnancy Outcome: Levels of Malondialdehyde, 8-Oxo-2′-Deoxogunosine, Maternal Body Weight, and Number of Fetuses Wibowo, Joko Wahyu; Fasitasari, Minidian; Zulaikhah, Siti Thomas
Jurnal Kedokteran Brawijaya Vol 31, No 3 (2021)
Publisher : Fakultas Kedokteran Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkb.2021.031.03.5

Abstract

Oxidative stress is related to pregnancy complications that could increase maternal and infant mortality. This study aimed to determine the effect of propolis extract supplementation during pregnancy on oxidative stress level and pregnancy outcomes utilizing Malonedealdehyde (MDA) and 8-Oxo-2′-Deoxogunosine (8-OHdG) levels, maternal body weight, and the average number of fetuses as the parameters. The study was conducted by using a posttest only control group design on 24 pregnant Wistar rats, which were divided into four groups. Group I was control, Group II-IV were the treatment groups given propolis extract of 1.8mg, 3.6mg, and 7.2mg/200gBW/day, respectively. The standard feed given was AIN93G dose of 20g/day and distilled water ad libitum. Propolis extract was given using a gastric feeding tube every morning for 20 days. At the end of the treatment, body weight was meisured and blood collected for assessed MDA and 8-OHdG levels  by ELISA method  and then we performed abdominal surgery to count number of fetuses. The result are there were decreasing level of MDA and 8-OHDG by administration of propolis significantly (p<0.05) group: I: 2,04±0,091, II: 1,55±0,067, III: 1,05±0,176, IV: 0,73±0,075 (mmol/mL) (p=0.001); 8 OHdG level (ng/mL) group I: 10,02±0,403, II: 8,60±0,078, III: 7,89±0,051, IV: 7,53±0,063 (p=0,001). Average of maternal body weight (g) were increased: group I: 228,33±3,93, II: 237,17±4,36, III: 244,83±4,02, IV: 248,00±5,76 (p=0,001) and Average number of fetuses tend to increased as well, group I : 8,5±0,05, II: 7,8±0,41, III: 9,5±1,05, IV: 9,6±0,52 (p=0,02). The conclusion of this research are supplementation of propolis extract in pregnant rats can reduce oxidative stress and improve pregnancy outcomes.
Effect of Four Antioxidants Combination on Number of Sertoli and Leydig Cells, Sperm Quality and Caspase-3 Expression in Rat Exposed to Cigarette Smoke Yuniarifa, Conita; Wibowo, Joko Wahyu; Nasihun, Taufiqurrachman
Sains Medika: Jurnal Kedokteran dan Kesehatan Vol 11, No 2 (2020): December 2020
Publisher : Faculty of Medicine, Universitas Islam Sultan Agung (UNISSULA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1259.45 KB) | DOI: 10.30659/sainsmed.v11i2.2465

Abstract

Introduction: The administration of antioxidant combination has been shown to be more effective than that of individual antioxidant in male infertility.Objective: to determine the effect of different combination of antioxidants (vitamin/vit C, vit E, glutathione and zinc) on the number of Sertoli and Leydig cells, sperm quality and texpression of caspase-3 in rats exposed to cigarette smoke.Methods: This was an experimental study using a post test only control group design. Thirty six rats were randomly divided into 6 groups to receive one of the following combinations of antioxidants: vit C and E, glutathione, zinc (T4-G); vit C and E, glutathione (T3-G); vit C and vit E (T2-G); Glutathione, zinc (T1-G); control positive (CP-G) cigarette smoke exposed only, normal (CN-G). The dose of vit C, vit E, glutathion and zinc was 9 mg/day, 1.8 IU/day, 1.8 mg/day, 0.2 mg/day respectively. All groups were exposed to cigarette smoke (3 cigarettes/day for 21 days), except for the CN-G group. On day 22, sperm samples were taken. Testicular tissue was taken for measurements of sperm quality, sertoli and leydig cell.numbers.Results: There was a significant difference in mean number of Leydig cells, sperm motility, sperm count and caspase-3 between groups (p<0.05). Post hoc LSD showed that the administration of combination of four antioxidant agent increasing the number of Sertoli cells and sperm morphology. The results also showed that group treated with 4 antioxidants combination had the highest number of Leydig cells, sperm motility, sperm counts and the lowest expression of caspase-3.Conclusion:The combination of vitC, vit E, glutathione and zinc affects the number of Sertoli and Leydig cells, sperm quality, expression of caspase-3 in rats exposed to cigarette smoke .
DIFFERENCE IN THE LEVELS OF FERRITIN, HEMOGLOBIN, AND ERYTHROCYTE COUNT OF STAGE 5 CHRONIC KIDNEY DISEASE PATIENTS AFTER ONE, THREE AND SIX MONTHS OF HEMODIALYSIS Wibowo, Subur; Chasani, Shofa; Wibowo, Joko Wahyu; Nasihun, Taufiqurrachman
Sains Medika: Jurnal Kedokteran dan Kesehatan Vol 10, No 1 (2019): June 2019
Publisher : Faculty of Medicine, Universitas Islam Sultan Agung (UNISSULA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (722.769 KB)

Abstract

INTRODUCTION: 77,892 chronic kidney disease patients in Indonesia undergo hemodialysis in 2017. However, the effects of period of undergoing hemodialysis on hemoglobin level, erythrocyte count, and ferritin level are still unclear.OBJECTIVE: This research aims at examining the effects of period of undergoing hemodialysis on the levels of ferritin, hemoglobin, and erythrocyte count of stage 5 of chronic kidney disease patients.METHODS: In the analytical observational research with a cross sectional design, 30 men meet the inclusion criteria and are randomly divided into 3 groups: one month group (1M-G), three months group (3M-G), and six months group (6M-G). Each of the research objects has undergone hemodialysis for one, three and six months. The levels of ferritin, hemoglobin, and erythrocyte count are analyzed with an immunoflourescence method.RESULTS: The Post Hoc LSD analysis states that the ferritin levels of 3M-G (718±63.61) and 6M-G (947±66.22) are significantly higher than that of 1M-G (383.77), p< 0.01. The ferritin level of 6M-G is significantly higher than that of 3M-G, p<0.01. The hemoglobin levels and erythrocyte counts between 1M-G (9.45±0.84) & (3.26±0.55), 3M-G (9.10±1.22) & (3.21±0.50) and 6M-G (8.35±1.21) & (2.92±0.40) are insignificant, p>0.05.CONCLUSION: After undergoing hemodialysis for three and six months, the ferritin levels improve significantly compared to that of one month of hemodialysis, and there is no significant difference in hemoglobin levels and erythrocyte counts.
Low Birth Weight as The Risk factor of Coronary Heart Diseases Wibowo, Joko Wahyu
Sains Medika : Jurnal Kedokteran dan Kesehatan Vol 3, No 2 (2011): Juli-Desember 2011
Publisher : Fakultas Kedokteran; Universitas Islam Sultan Agung (UNISSULA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (186.191 KB) | DOI: 10.30659/sainsmed.v3i2.402

Abstract

Low birth weight, a nutritional deficiency is related to the increased in the coronary heart disease insidence. Low birth weight is correlated with the hipotalamus-pituitary-adrenal responsible for the the concentration of cortisol in sirculation, increased in homosistein, insuline resistence and increased C reactive protein playing role on the aterosclerosis process predispose the corronary disease. This paper will discuss the relationship between the low birth weight and the ateroclesoris process leading to coronary heart disesase (Sains Medika, 3(2):185-200).
Effect of Eucheuma cottonii extract on interleukin-1 level and caspase-3 expression in borax-induced rat’s hepatocyte Muhyi, Ahmad; Wibowo, Joko Wahyu; Priyantini, Sri
Sains Medika: Jurnal Kedokteran dan Kesehatan Vol 13, No 1 (2022): June 2022
Publisher : Faculty of Medicine, Universitas Islam Sultan Agung (UNISSULA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.799 KB) | DOI: 10.30659/sainsmed.v13i1.25075

Abstract

Borax is a hepatotoxic substance and induces oxidative stress in hepatocytes. It may trigger the expression of pro-inflammatory cytokines like Interleukin-1 and apoptotic signals like Caspase-3. Extract of the seaweed Eucheuma cottonii contains carotenoids and flavonoids which suppress oxidative stress in hepatocyte. This study was conducted to determine the effect of E. cottonii extract on borax-induced Interleukin-1 and Caspase-3 expression in rat hepatocyte cells. This research employs a posttest-control group design. Twenty Wistar male rats were separated into four groups: control group (K1) received no intervention, K2 received Na-CMC 0.5% for 17 days and Borax 40 mg/200 g on the fourth day every hour for 14 days, P1 and P2groups  were administered E. cottonii extracts at doses of 600 mg/200 g and 1200 mg/200 g for 17 days, respectively, followed byborax induction at a dose of 40 mg/200 g on the fourth day with a one-hour interval for 14 days. Interleukin-1 (IL-1) levels were measured with ELISA, while caspase-3 expression was measured with PCR. For the statistical analysis, Kruskal Wallis and Mann Whitney were used. The level of IL-1 in P2 was significantly lower than in K2 (p<0.05). Caspase-3 expression was significantly lower in P1 and P2 than in K2 (p<0.05). IL-1 level and caspase-3 expression of hepatocytes are affected by administration of E. cottonii extract. The extract has the ability to prevent inflammation and hepatocyte apoptosis.<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAB4AAAAQ4CAYAAADo08FDAAAgAElEQVR4nOy9eXxV5Z34/37OuWvuvVkhgbCEAAICghqjgFiF2tFaOrUtxFqp3WaUmXHGoeLgzG/aaaf9tTAujF1mQG1rLbYl2Na2uI0aUFmEEBBEJCyGLYHsy03ufs7z/ePemz0hkJsNn/frFV7knuU+53zyOc9zPqsoKSmRKEYsUkbFJ4QY4pEo+oKS18hAyWnkoGQ1MlByGjkoWY0MlJxGDkpWIwMlp5GDktXIQMlp5KBkNbyIy0NKiWEYhMNhNE0jMzMTj8dDSkrKEI9QEQwG8Xq91NbW0tjYiNVqxWKxoGlah/2UTikUCoViOGAZ6gEoLg0hBKZpqgXFMEZKiaZpSCmVvIYxSk4jByWrkYGS08hByWpkoOQ0clCyGhkoOY0clKxGBkpOIwclq+FN3PlrmiamaRIKhUhJSWHy5MlYLMp8O1yw2+3Y7XZGjRpFXV0dJ0+eJBwOY7PZgKi9VunV8KL9s0+hUCg+bqgVxAhECNG6YFcMX9rLSclr+KLkNHJQshoZKDmNHJSsRgZKTiMHJauRgZLTyEHJamSg5DRyULIavrTP/JVSEg6HsdvtTJs2bYhHpuiN9PR0hBAcPXoUTdPQdb11m9Kv4UP8madQKBQfR5QDOAFsPmrw84Mh/BE1uSsUCoVCoVAoFJcTTovkm3NsLJumX3hnUAamEYKS08hByWpkoOQ0clCyGp7E5RIv/Tx79uwhHpGiL6SlpZGamkpTUxNCiFYnsAqyUCgUCsVwQLvwLooL8fzhiHL+KhQKhUKhUCgUlyH+iOCZA2H8kaEeiUKhUCgUisuNeNYvRJ2/hmHgdDpxOBxDPDJFX0lPTycSiWCaZgd5KhQKhUIx1CgHcAJYOE7dRoVCoVAoFAqF4nLlU5N0nKp2kkKhUCgUigEi7jiMRCI4nc6hHo7iIkhOTsYwjFYHMKAcwQqFQqEYFigzRgJYlW9lVb51qIehUCgUCoVCoVAoFAqFQqFQKEYA7R2EUkpM08Q0zQ69ZBXDH7vd3iUDWJV/VigUCsVwQKWuKhQKhUKhUCgUCoVCoVAoFArFIBN3GLZ3AJumOdTDUlwkcfl1zvxVWcAKhUKhGEqUA1ihUCgUCoVCoVAoFAqFQqFQKIaAzk5g5TQceRiG0UGOoJy/CoVCoRh6VAnoBPNKmcFrZQbH6k2aw93v47bCFWkat03S+PRkJQKFQqFQKBQKhUKhUCgUCoXi44xyAI9cOmcAqzLQCoVCoRgOqAzgBOENwT8XhVizO8z+qp6dvwDNYdhfZbJmT4R/LgrhDQ3eOBWDy65du3j++eeHehiKC6DkNHJQshoZKDmNHJSsRgZKTiMHJauRgZLTyEHJamSg5DRyULIaPnTOFFXO35FN5+xfxfDi4MGD6tmnUCg+ligHcIL49+0h9lddfI+O/VUm396uPMAKhUKhUCgUCoVCoVAoFArFx5HOzmDFyEKVf1YoFArFcETVH04Ar5QZvHcJzt84+6tMXikz+HSunsBR9Yyu6yQnJ5OSnILH5cGqWcAmIAIyYhDBpLG5kcamRpq9zRiGMSjjUnREmiBiIRo1Rx2c3e3kfLEF33GJaJC4pEl6iknGZIOMGyIkzQthmR77OzQlaKrUzGCg5DRyMaVE66kkU3vBKgaU+nAL66veYVvth0RktG+SACR0Wzarp1Ja8WOEEFiEzs3pM/i7rJtJsyYNxmUoUDo1EnA6nSQnJ+PxeHDY7egWCwKIGAaBQACv10tjYyOBQGCoh/qxR8lqZBEJa/iDpzh9Zg8CmDjheuz2HKzWS39HVFw8eWv/LvofKSE+H8UN8PHfTTP2mYwtHIj+o2vReUoSnbPaHyMESEnJ6v8dlOtQKJ0aLiidGhw6O3wHwnEYCkJ17QccOPgaApg75zYyMmZhtyf8qz62XKrcWt+hjAj2gIHhjRBpCmEaJgIToUtEWhJ47EiHNfpdponQ1LvVcKa0tJTp06cP9TAUCoVicB3AXq+XkpISjh49eknHT5s2jby8PDweT4JH1j9eLeu/g/TVQXAA2+12kpKScCW5sDvsWO0WKsPnaNRCNEaCgCDZtJImHaQ60rFarHjcHlpaWvD5fASDwQEdn6INKaPvSrXHHRx+YRSntzqw+SxYjCYchh+XDOOWJp4aDUe1jmV3EsbTLVg/FUJ+OQxXiHYvX4qBQslpZKMJQWOoGUMarSKQgE3ouG3uoRzax4r159/idd9RMI02uxJtjl5DmtEPiMpMCNG9Y7jd/8OmwRstpZgVBv+es2RQrkOhdGo443A4yMrKIi01FU3vut606To2m43k5GTGZGVR39BAVVWVci4OAUpWIwshBKYZ5kTZu+x/7z0+PPwhApg16xzX5l3L5Nwb0DSLygIaLKSEuEG89Z7HZqRIGBBoVgsW3YamWUAIpGlgGGEiRgjCYdB1EDpRZ1Z8oa7kN1gonRpmKJ0aVAbCCSylJBTys2//G+zYuZN9JfsQwJHrqlh400KunvsprFblBU4EFyuzuDZoQnCu2kptuRVRVslYXwBH3Tnc0ge6BE2i2SRmmh3LlCzMKWMx3M7W71R9hocfv/nNb3jqqafYtm3bUA9FoVAoBs8BvHfvXlatWoXX6+3XeTweD4899hjXXXddgkbWf47V9z8K9XgCztET8cVAkttFSnoK6Z40AFrwc6LpBEeMaspoAgG5MoUZ+iiuGzWPFC0FgIbmRqgVhELRUtXqZWtgiQfXnng5g0O/zIYGKx7qSbI245ABkswAbmngwcQlBE5Nw64HsIYhfYuH8I4mmv8hROBzmnIuDiBKTiOT1nJMSH537jV21r6PjESdVSZgBYIWnSdHj8Yx+h5MzRoLYlcCGijeqS9FmAYSE9OMzlnxey6lxKnbWrNKg0YEU5q9ZgCbZnS78EfYHjw2mJfysUTp1PAnPT2d8ePHY7FEl/0G0R4wIhKJZu0AaBqmxYIEdIuFUaNGkZKSQkVFBbW1tUM19I8dSlYjhbYejUJIgsFm3tn+G95+u5QP3m8A4MyZUgLBUiaMvwqr1YlhRg28mqahFn0DSCyrsM3JBMgwmrDgScsiLS2L0WmjGZ2SQYrLjSbAHwpR522ksr6G2rrzNDRUEQr6ok4vocXOh5q3BhSlU8MWpVODTmLsbVGdMk2TSCREY2MNf3zxxxQVfdCqUx99dIi6+v1MnXIdbncqCB1d05RO9ZO+ln+Oa1TQ0Dj0kYcPDoHRbBBosGNUNeH2QbrfxxRbA7mjJEnJFixhnaTmBiJlJzDnTMM3OUc5f4cpXq+33/4PhUKhSBSD4gD2er0Jcf62P9df/vKXYZMJ3BLu/zmaE3COnpBSkps7iSSbG7vDxubmbfyxfCsvnXsHhzUJA6N1AS6RWNAJHglwR/J8Pp96M8sm3IpzlJPU5GTKPjqp1oIDSNypWPrbTI79ajxWQlhCdegtLSRLPykigIcAbhnGBTiFjk0KdENi1UDqzSTVaXj+M0Jtk6TpKw7lXBwAlJxGLiYmutDZ2riXXfYjVPlqCQaCCF3DJSQfRXTudXqZ79zMqRYHtcl3gzSAwSnR/3EkgkQi0dCQWqwEGqAhqA962fq5H3FDVrR00ude/QFvnD1Aii2pS95A/HdNixqWJJKwGRnMS/lYonRqeJOZmcn48eMBCAOWcIjw3t2Et28jfPh9jJpKkKBnjMYy8ypsN92Cdt18IjYbVquVnJwcNE2jurp6aC/kY4CS1UhCoGk6ycl2tmz5Db/93c85dqwZTQuRnW3BkSQ4faaZp586yIEDd1Ow7H4WLy6gudk/1AP/eBA3uksTIiGSPBlMGD+Na6fOYt60mcyeMJGs5BQsugUtFmxW3dzMiapzvFd2nL3HPuT4ySNUVp/GNMJgsbaVt1UMEEqnhjVKp0YgUZ2yWEx+//tfsn7DExw71gwEOujUhvXvsW/fjay4/1/53Oe+iWkqg8RgIQBv2Mq7J0fx4YeCc8fOYTY2Eqyqw3++GkeoCU/ExzHTR6bvHFelt5AzyYZ5xRisQSep+5qw+hpomnlVW5a+QqFQKBTdMCgO4G3btiU08sXr9bJ3714WLVqUsHNertjtdpJcSbgcbkqNcvbVlbKlbgeHm04QIELE8CPpmH2soRE2wxzwHSeMic8V4VrndKY7xpE+OgNfc8vHqszcsTefoMj2ee6/KXdAv8c0o+u2ilczOPfr8bj1AMLrY8yMCNM+6yJjcjI2h4FVmFhEvBKMRBgCEZCYR30YhZXIk41oJmT/dxgzNUTzZ5M79uwZQorW5PEwj1LyyOJ+n6v8pR/xn3+exD9suJs5CRhbX/k4yInjG1lx13YWblrP8qn9PdluNn59PXX3/Ih/unVMIkZ3ycSdjLXhRl5vLkYaBqkeDzWBEBYpiJiCLAkPpZyBFo0x2nM02Bdh2LJQHvqBw4j1BJNCIGXbfCRiGQdO3YbTYgNAE1prmaueoqrjDmRVXG7g+XjqVBFr8x6Gx0pYPcyXofFsUqTEFAJKD9Pw9E8Jv/sOEoGwWFrnnEizl/BHRwn85QWs8z+B++v3w8w5ICUTJkwgHA7T0NAwyFcQvddlD77A+nsvdg2WWDm1nCrhYEU6M+fnktL/03Vh5Muq/xStyePhzQAFPFqymr6sFEtfW8Pr9mU8cMuUAR5dlPj8Ewp58XrPs3XbHt5/fzdCePnkJ234/ZJQyGRstpWKCoOaaonD0cz7h7bh8we44fpbcDhSEMI2KOPtE1vXkreqjJUJWfMNA+JZitJEkya5M/OZd82NfHbu9eRNmYpF0/E1ewkEQ/hkGI1oX23TYeXqq65i7tVXs6DqPDs/eJ8dJTs4dGAXvhYv2KxtWfgjhYSu5weGy1KnuqU/89kQo3RqSLjULOC4TjU311JdfZIdO9+kuPgtpGxk0SIbfr+1k04Z2O1e3t39Es0tPj5161+TkpKJ1ZqU4CvqB/5GcA7E6mtoCUorL5dlcuAIVJdWYtYECVT68VV48URCOHUDzYxgc9q4ZvkSxmR7SNMbMPcVIevraLakk/FREE2EaZyZF33vHQ62JIVC8bFg9erV1NfXU1JS0uM+eXl5pKWlsXbt2kEc2eCyZMkSHn/88Yvq911aWspDDz3Eli1bBnBkHRkUB3BFRUXCz3n06FHlAO4DSUlJpGakYXPa2FdTys8qfsd79ScAgdPiQEOgIYBoyc2INIhIA7vFzrFwOccayzklyvn7cV9i9qhc0tLTwJQJdABHX4YKl3V1ChatyePhkyt5Yf1y2l6Tyti4Yinr6Px5N2dek8fDm3swIm1dS96qQvK7ewk7+yo/XrMFZ8F3+NtPZPbr6i4GTYPgCSdNvxpDhh4k1NzCtC/pzPuvUdhTJMGjPmR9GM0wEGY0Ow4BmiYgxYr48njkymzC9x/A+PMprFKS/WQ9p660EJza3wV87L4Xd93S7T28jBnecqL1b7srfTeoXq5IKdGExuvePTRqLZjNYTSbhsPlwPC2cAY7P/ScZ4a9Ep/PQlJKFVm+X1FhXx2NeE/oC1XPOkX+hZ9vHRl8o1Kw9jTVfg2Xy4XL5cJm64/hLW7g6GgEkrGACEOaHUpp9eb8jaORIPdij/oUo6+yOr6RFXeto7ibua7te0aeAX5E6NRF61PiGKpAJYj2kY1mk0YdipHdO2j60XcwK88hUlLB54sadeM9ZiMRhKYhnEmEXn8Jf3Iy1plXtcpo4sSJ+P1+gsHgIF/J5Y+SVbs1f8nQ6GpfME0TwwyD1GhqOkdl5fv84Y8bkDKCMwluvdVNfX2Y85Uhrpzh5Gy5yalTYcKhAMdP7KFk/z6unDEFKSVWaxq6LhBCT0zpxh7nqvxLmle6fwcbIQgRdSpJkynT83CWN9Fc/jqHTpzjaIqH3FmzmHrVVdiSXbTU1uGXJmGXk9raGk6/8zbVx04Q8bZQe66CtLRk8q5bzL69RbT4mkC39nNww2+e6kL1Hl7ctIcGtzu6xrvyJu6YPTABnMNVp3q1IQAXY4/o7zi+d/5f2PjfdzGh07YjL3+fl49E1+ButxuXazYL7pzLgFguhrVOtWPrWvI2jYvJpIi1ecXkd5ZhN8/Kgs6BYj09T7vR07LnVrD0yWJsNhsul4uCH7zBffPiWw+y5dubORSTkTuuU60/Y5h81XTSbIARIBwRaHr/quOYphntuyw1Kis/4siRt/nls//VJ5069MHb7Ni1kytnTME0TVJTx6PrAk2zJGae+tNKnF9a382GW1iz9xUenNX/rxgpRF9xJa9XjuLdc04aqqsQJjQ0hGmqCuKWoOla9D3YkDiS7Ny28tNkTc0iZMBrd75P2rmdjHH48FoyyDgbxkhx4x0/oy1bIUHEg/O66Ek/iOpNbp9sU7s23MnP3umoOzOXPMjdN4xKzGAUCsUl01en7uOPP87q1asvWyfw448/zkMPPdRnJ3Dc+fv4448PwujaGLQewIrBR9M1XEkuUl3JFH70Ki81vsUB70k8FjcBGSJsRvAH6slPuZpPuK8mnSSKfO/xZssBPDhxaHaswsLBxpP83txKsCnMfTmfIeQM0GRtIhLuf2nNojUdnb/xRXQr+Z2PyGX5+hdgxVLWPndjr86OxTcUwOZCireuZnGnxUrZmTIAiivKoPNrW2UNR5nGXdMGz/kLICMS40+p5Pit1ARr8Fwlmf9YKi17Gzj09Q+wV9Xjlj6chHCEI1jRsWDFREM4rYixDrT/uQbrU7PRD57BOF2Du0En/bdnOPdvV4CegIVgT86LYcKJbT/lHftn+dr8nAH7jhEhp0s0+A0aNXvZ8ofzTClYwpWpg/OVpjTRhEZZoJy3m/YhIxKpgZCQ7HFxriXMVYT4ZupZwlKgaQbhFp1R+u+pd34Gv2N2zGGV4PJKPQS/LM1bN0yDK3ycLz1Mg3MyUyamkxCzjYxm/gqhobczMOhCwyK0aD/f2OcWTcciNCyajtmLE7jVadxfg8Wi1ZSUrO76ecyhy4Ib+2b4m7qc1Q9uZ+mTxRQ9srjTy24ZGzdFA5KGrc52w8jQqWhwxNIVDB/j+iCRmZmJxWIhAshjR2j84bcxa2sQySmYzc1YZ8zEPu8m9KnTogamY6UEd28nfHA/9tuW4FqxEmnKaOs/wGKxkJWVxenTp4f60i47lKyKKN4M+Q/28Xk6RAihY7Pa2P/eU7zyyru8/fb7fPWrydTVBqiuifDv3y4nM3MyE8ZfwckyJ8c/OsSZM8dZ9a3RVFVHOFsu+fo3HuCvP3cr99xzJ+6kfKQ0EhgHM5Brv5FT+QAJwogwOnsKN8y6jrojL3Pzpz6FluTg1NHjHN6xi4Dfz6eWLWP25+4g4G3i/556hg+KtuHOSGfUhAlkTpuKzyIwKivJy/8M3oY6DpfuIRRKUFDFcJ6nRl/PnQ9k8O6z7xCccxs3T08esK8arjrVmw0BgOM72F48MM+szrYQ903d7VVFA5/iq9+aR0bsk4oDL3LwDTvX3Dqj9bOEMRJ0iqh9J39BQVQmW4spzB9HQfsdjm9kxaZxvFBS0ia3rWvJW5XXzbPtws/TNifW+ui6fvtPuHPNndj//UW+eh3AHJZ8fw5LuhzZzJkDJVQ6UnDZSXC5Ig1dc7Dlpf/gxRffYuvW9/jqV5OprfH3SafKK+DzX1hOwV1L+Ju/uZvcnDsSXKBs8Jy9Bw4cAGDu3LkX3Hfjxo0sX758oIfUihBwOJDO23UZNHlr0DWobYpQ3xBBhgw0PVoJSxcC3aIhkTRVNZExMYNAbQPeuhAtJ5ykZtbi0n2E3JL00+8RzMgm5EzkM7uI4s355OcXU7i7iNWLLtYO2J+1wzZ+cusPeHPZ93lx4/y2jw9v4beqra5CMWS89dZb/OpXv2p9xvbGnDlz+NrXvsZDDz3EfffdNwijGxqmT5/eZydwe+fvxWQMJ4JBdQC3F/hTTz1FXl4eeXl5F32ep556KpHDumxJSU7BbrcjNcGfmrZzKHASKU0CZhgnFtI0F3+V+ymuSZrONPtkkoSFM1X1vOktRtNdGBiEzDCmNDkaOMX/CZ2v6EvQHQ5SPMnU1tX1b4DHN1K4OZ+VmzovJKIRt6zJ4+GT3R2Yy/K7Cli3qpCie3uJGluUTwGFMWdvh1hNduyMvVht7mqMLzn8JvBp0ga5Wq1eZmPMHgd+Sy34Gpnw2RSsbjj1t/tw1tbgcfpw+pqwhwPY091YIjo0BQAH4tlPg8eK/Lt30EqXIb6YheWxI0ibnfQ3qqj70hiCV1x+ZXOGAiWnkUvEjLClcTtSFxCWCMAAkiw6DakeNugHSdGaCEiBLkCaAqs9wjjveo7b1oEYnJ6lix8poeSGteStWsraCX15YVrM6l7KriSUmnLOej1MnpQg5y/RMsJCCEzTpCHY3LZBaOBv6NDHtz7YTNjfQI0ZaetH1g3JdndiotV7oGzndoop4NGLcNDn3ltAwZMPU/hcAYvbH7e1kHXFBTy6fsjNvhfN8Nepxax+rIDCVdvZcXw5uYPsYB/3mX9lw2cG9zsBnE4naWlpmIAl4Kfhf36Meb4SLS0ZGQiQdPfXcH39frQkV6vdUdx8K467vkLwtS3YP3k7Wlo6Imb1i2tSWloalZWVIyqzdLijZDUysFp0yk4dorR0L1u37qKxsZycSVBVHaS+PomGeg+f+cwN1NV6qatrRNNsTL9iDnPnXM3uPXtwu5tJSw2TnmZw5MPD/PwZya231jN+/AzSUydiSmOoL7EDix8pYZBWFYnHCGNzJXPN9Gv4mwWL+X3JYfI/eSsLr5iOBCqB/9u1k1/+4HscP19Oc3UNH504zmcf/SHJuROwCEGS08nBrW9zeMurZE4Yz1Uz51JTV8nZs6UDMOChnaeGimGtUzEbQk8Oj+gaMJ+VCwZq3dZmC/ne+e62ZzLvjo6B6tlzr6fpjcNUVuSQke1M7HBGiE6VVRSTe0NUJmVnymBSfkcH/dTlrO+cgLpoNY8uK+ThTRspWHRx1ZcKnyym4LH1bXakhf/I6g/e5Gf/9zJ/dd0djO3pUG8VdQ2QOWcMifT/CiSlR4vZv/9tXnxxG3V1p5mYI6msCvRZp1JTQqSlRjh44D1+8mOTz3++ienT8xibdUXC4zUHmoKCApqamnj11Vd7dQLfd999/PrXv0ZKyVe+8pVBGVsEjb2+VJojGkJKapsiBIIG/oCBUwgCfgMZCIDpw8BHyGlBs2hYbBY0i45uETQ3hKk66WSyu4ZQvSQr3Upz9VFqJ16XuIFuLaYwfyEv3JXL0lXdBTFfGrn3rqfk3t73Ofn87/kTn+P798/vuGHmEu5OwBgUCsWl8eyzz/LLX/6yz/t/4xvf4Oabb+61TPTlQF+cwEPp/IVBdgDff//9rf+PO4Dbf9ZXlAO4b6SkpGC1WgjIEC97d+Mzgzh1O0EZwWU6GSdS+eecLzLRNg47LgC2thwEM4wmBBFTggCHZuN0qIJqo5Y6M0iS1UKKx9NvB3DZzu0U5y9kdbsX3faLgaLeDl6UTwEP9xyZGz0b4/KhcOcOyu7NbVvQx6J2C5YVULi5jIrjQOsYzlJ9DrhpGrMv9cIuEXeJRmbAR52lHoujiZTJKQSPNZLkPYXT04zD14hzTjqO//g82qwsAOT+auSqbXC0ApGTgqioQB5vQJvqREofUoaxNxskv3uOauVYTAhKTiOPiBnBolnY13yEUvMMBE1MTATREt3SqnP16FwW6KchIhBBjWg5YoNwwEKyaw8p/m00uj4FZgS0QZg6FxWwMr+QdZcUbTtw+Pw+IA2rPXHnFEIQMQySrDb+dPsa7Lol2ltWaETMCHMy2swxT938DzQEW7BoWhf/r4x2yiRoRCh4fQ3+SBg9gSWw2ogFES0ruMiX4MUUPJjP0ifbBy+1Zf8OHylfmBGpUx8jkpOT0XWdiATRXIRt7K8Jj5qNUd2C65678fzDt5BSYsZKCUcMogEVrmTsS7+MBCKRaHa2EKDFfnRdJzU1lcrKyqG+xMsGJauRgcNh5ejRYt54cyOvv1bHjCt15i/wUF4RoqU5DV/zBD592xfZuettzp3bRiRiZ8qU2Vw1Zy7/srqUWTMNZs8KkZPj4MMPT/LO22W4PfXcqH+RrNGTCYaGlwN4pJOZMY7RE3LITsnADBscra5g31vbOL7vPZyZo0iZdSX3PPEjHl/6FTKm5PKFNf/B4TffoeaXH9FSWc2k667GOTmHYChMSEom5Exi0snJVNacGepLu2wY3jq1mPxlUNhNoHjrGjB/JTcOgLO+z7aQQWb461Q0U3Hc0uhvZRXF5Gd3U8GnG3Kz86HbpINe2FpMIQU82skONX/uHfzspwc4VH4HY8d1f2hzdTUNZDMx7SK/8wIIYVJc/Aa//8P/JECnTrBt63Fs9ko0TTBu7DRkYlOVB5zCwkJuu+02br/99h6dwHHn7/LlywfN+QvgFU5OmykEWpoIhCBiQigMkYgkEDC5bXE2X7prHhPHOak5WcXJd0ujJaEBhEBKgSCCr8aOt0pnTOo5Ag0O3PXHaciejWFxJGCUsXfUBS+Qu6isD7bXxHKyYi9c/Yku5e8VCsXQcvDgwYvavy+ZwpcLvTmBh9r5C9E2eYrLlGSHjXJZzcs1u7DrDqzCimlKJCY2knDKVD5qqmNbzfu8WPkWhjQImaHYoiKakSUQmKZEF1asmoPiut1Uh6tIcrj7Obroy1N+X8tndiH2Yra7t1ejXG5ckA/F29lxvN3HZ8oppoD8R/IpoJjtO8vatp3ez8EP4RMzru56uoYP2fHii7zxxhvs2rWLj6oT1Qc5Str7XnStjCR5GpfjJJYkP7KxiST7aezmKZxXW3C+dC/6vDHIV/chX30PcctYtLcL4OfFmPduQgYboMmHTBJIGYCIDyn8JO0pT+hYu2Xr2tas/vjP2q0XOqiMjSva71vE2rw8VjxX1u1+8x/d1v1pDm9hzZo1vHIIKN3K5s2befnlD6iJbQ7Wnubs2bPU19cTCkrkRGkAACAASURBVIX6cZGXgZza3fPWnxUb6XzHuxCXb2zfsudWkJe3tqtxYuta8vJWsKnbE1bx7q+/zxPPvU0FFex76XlefPFFSk61xLY3UvPRR1RWVtLc3NzdCS4aKSW60GmO+HitZTdG2GzNHJWAJgRWu4VvpN5KddIKpMOC0ERsF4kpQYZNxvp+gR5pAqFfsP9sYog9vzYXt97jsudWRO//8Y2syMsjL28FG49DR72JyXdNN8/GmGw2tnsebnt0Prfeeit33nkny5cv57f7ex9VUno6Hqqor01cVpmUMjrnILglezbzx8xgwZgrmZc1nYVjZ5Fsa+uNPTs9h4VjZzIvawbzx3T8WTDmSuaPmcEt2bPRhDZwctpayLrifFYuvXiXbe69BdGskvgzLpb9WxDLCO5Nr26+eSV/aDVQlVD4wAP86QOo2fVrnnjiCZ566imef/5Njje1O66xnI8+OkdL/zs2tDLSdCpeBSS7s6G2VY96eA4e38iKvBVsPN72zOw8N0Xl1XaOztvLX/oR99//W9pek0p566c/5d1T0FT6Fi+//DJvvfUWe/eWUhdXKSNAuJ/zlMfjAUAHjKo/YruhGdfnD+FYMJake/4WKU0wTYTFgtA0rFYNq03Hqkl0DCxIrBYNqw4WLepQ7Hzu/hN9brXdv7UUdfOM6p5u5rHunnnxvS8gJ9jNxq9/nQceeIBHHnmE73//+zzx5rH+XmCfGPay6rK2iz2fepFV0Zr2+tRZzh1lFZXNwxQCxU8u7SSf6LHz57ebp57t3Dy1M82cOfAWe/fupbK1RGCISD91av+BQnbu2MfWN5vQdQvTpllYuFDj3Z0+Jky8mn/+1jf5l9Wref3159EtpZSdfJstW57jvx//L7733YcYM+Y6Nm1qJiVFJynJit1u45mnSnj1tSKqanf2a2wXRzd6191e7WRYtCavVUaFq7rTtzZ9vPnmm7njjjsoeGZ3pzMeoeiJJ9heBmf2RNd+bxypGpArdNjspKVn4khPJWhEqA/6iZiSMbNmMPOmBaRMnsgHe3fzx++v5frPf5ax47N5+XtraKysIG1KLmOuv5b06dOIRExMKfFHwjg8LsZmZZOSPDA9B7ufp3rXnXZHX9TzkK1rozq1ajNnL2qUfupOH0nY+9Rw16nFS1eSTyHFnd9l44Hkd7XPFr1IGQwETT5aAKcjwdm/DG+dapvfH6aQYtbdFb3/D29um1MuJIuyigvNK10p2l0I+eO62rHGZjGLD6jp8fF2llNHakmdPI4E+395c+t6it7cybYib0J0yuGw8/SGvfz+D3/hw6N/SfBoe+MNnvniF1m9ejU///nPefvt4/gv4Sxz587ltddeQ0rJ7bff3sUJ0d75+/TTTydm6H3ktOHG0DWEBG/AQBPga4lg0+F//yeP3774V3zxKzPJX5zLp79xAys2fIWcuROQgBAaQkhAYgTDBOrtmMEg4bpjJPnLsYZbLvT1feP4DrYX57NwQS6tttdNXW1GPdknels79Pi+245brl8K723g5Xd72KF2P689+yz7uzGfhb3V1Nf7MC/+qhUKhaJftHcCl5ZGq5wMB+cvqB7AlzW61U5zs5+z3nOEZQQTE13o6Gh4hY9TspKfn9vCdE8OU13j0YWOFqvtIuKNxGL/N6RBREY46i1nXPJoLM7+/umUUV6cz8JVl146KTc7H3ZW0E0X37Z9Fiwk/8l1lJ+hNcu3aHchLHuUxSyGZdEM4VP35pIDcL6KD7mSvNGdTnT4/3g++An++s478QDUlXHw7FGqk+Yw2nXJl9AB99kTmFoLNq0Z4WhCt10NJtjsp7GFvDi+cw+aZmLe+h04UgthK/InRYjt/4J49BZY9gwCB4TDoEuECCGJGtadJxoSM8geKWPjJni0pKQ1SrrsuRUsXbWCcT32zylj44ql0dKnJb2U8u4LM5fwyMwlsR7Ai1jWoQdwPQ0tbrIS1K90ZMsJ2FrI9gUvUNJabjbWe2xNds/9nbeuJW9VYYeetBd0GHdLJvO+8m3mxXsAf6ZjD+BAdS1kTSYrQToF0T6luqazo+V9yqmFgIEpog83HQ2SdKYxidmOMXjN0dQGP8GopDcJNlsRRBAYBAM6SbajjPL/kUrPV8E0BqUcdO6EXKBzlYLtrH1sIavb96/qeBQ3LshnXTe9ZqPGinjGQlT/fmZ5iE1vfJmJAHt/xf3r78f+wAa+cFUPg3JNYOJ4H6eqyzjrH0Pm+FRsCbnaGImo2jxwlZ+BzvfxYollAe/cQdm9sKOf2b+7fv0ITZ9bxbe+FTWgndnzPCVFB0i+cy4D1cV+ROnU8Y2s7VyiD1qfaQWPlbB+EcT1obsejNsfW8vCVSWUtMo7+vQr27SCtQtWU1KS2+6cS/lH/ff85J5JvQ7ryNZnCc7/AnfcEe3TVX9qL5VllThnZOHUHVj7eSscjmiKvpBhaNyNGRJYJzVjWzAJfdQoTDOM0CwIKYmY8LtdYSJmO9URRrTnn4BgBOZPtTB7QnR9aLcnIP0/3kP7wRcoubf9/SsE8vt0bPGyRylZ37GHZt7JlV3k15OcVtA2n53982vwwC/5abwrTdW7vLDxL2wZ9XWWzE20ibYjw1pWW9eSt6qMlZtKWtdxRWvWRv8TK5G6fWcZy6e2u+PHN1K4GQoei8qh7LlCeKyEkkVt21fc9TArsqP3P5rtFpVfWae+9/Fjd8WPPfUnfvT/Pcm67EdZ+VfdFdds4qPd2zkTuII5N1/Ralw3AkGw9c8ZPi57Om53CYYRJi3NhpRQUyOx2VJobgpw8uRJamqqSE0Nkptr4vFolJ9p4PSZIH5/M15vhMZGSU6OxpmzAuOYgcUaIcnpIj11AsZgJABfot4tfqSEkkd66OPXrT7u4OcFj/P1um/wo3+5nfYddRoObcF+9T3ceX2Cr60dNrsLm9uD0+OmMhyg2TRITkvlTMl7HNi5E5HsxpKUxLgJE7j6ziVUVpzj0PYdCKFRf6KMiLeFUSmpJE/OwWK1YJcS7DbcKSmkuQfgedDDPHUh3YkSlUth/kpeKIk/+4pYu6aH74rJe8G3LjxPdcTH+dLDNKRMZ8aYmC71s2z5sNepqTeyMH9dl0o88RYgBR3k0vc5aWA4w4GiQ9TPWEBeeuLPPpx1qjVjeuta8jaNi93vItbmFZPfJ/tCTz3oo87kdbHf8jvNTwBMyu4q25xMsnv7uvJqTpHBVelJve11SeROuoqUlN1EIqGE6NSxmE65XR7GZg1SbfoPnuRv7v454//zZdbeOT76Wc1xKupbcDovvkpa3AncORN4KJ2/AHXSgZBgyGhedcSQhPwGqx/I5Ztfi/5VNTW0cODdk8y+biJpozxITUNAzPkrkAg0EcFfA0YAbCmNOIPncIbqCTj73wm8c7XGaG/0nloVdGOf6G3t0Bdufoj/OPAKj6+5k7evv49H/61TWfWMHMaPOcDhyrNcM258uw1eWhqDWEalD2i2229+85sLJizs27cP6FsF02uvvZbrrktg+W6FQjFktHcC33///WzYsGHInb+gHMCXNUK30hL0U9VSDSYIBBKJjk6TaKFRtvDh+YPcIm4hMzm6SOguBydeVhMTypqruDbJj2bpp3XyeNRx20NlnD6ROyEXist7dQB3fXmLL/KjR+Rm58Pmck4BOcDug6/Cld9kVpeV+yw+ceuVtJqP0scwtsFLk6+Z0a7+ZkNHsYYOE7b5sFkCEPEidB9CaFitZ7FOSkafmY38y1vI8lK0SZkQ0TBPlMKLxbB4NqRqyIZmBCYgkTKCpukYaNgaEhT/tvlh8ja3/yCflZvWs3xqLsvXdyyzFO932d753kYCnb8XJI2siYk724iQU6eXVgCWPRp18C5aTcf2R1GHVGFPwRTdOH8HCsfoySSiYFEcKSW6plMVqueV+h1IM4IZs5oLoSE1gUtzcHvyvGipYE2j2v11Upv2ouvNSFNDShNNmIR9GlnBX1Bv/yQh2/hoxuMA9pjtkWJYuKl3Y1I88KVjmabosy9ulI9nsT5UGHP+Alz3VVYc3cmv39nGTVfdQuc4mDjOMdOZkVZHdXUzLfUSXB5stv4tJ3RNI2hE+Kst34kGIsloJmlTsIX1N/8DszOiQR0P7fwFe6qO4rY6u5Yii74PY0qToBEZoPLPPRmK+k5rL+A15RT2t/fvvOV8ZX5b9sSEaddyuqKUuqq5ZA6AB3hE6FTneWrZozEnb5xoSTOWPdrOGJHL8lUr2X7XOgq3Lm/3eTEseKHbIKbiSQVtThSARat54cEyvvzT3/POPQ9xU29jnL6Im6cnt/6aljke76l6gv4snAlI3tH1uD6aEDyLAKQUaJ65sQovsQx5IYgYkv99M4Q/JNHbpY9GzGhP5+aA5L7FNmZPsAMCi6X/rw5FL8SM5d3cv6VP9vHYDgFLi1m9aSVlXeTXs5yWPlnI2/eu5hPA+L/+Dsvbf0nmPObO3clWbwMkPEenI8NZVmVnyiB/YYdgl8WPxNd63ZW07+ocyb13PR1Wh1OXU7BsHQ9X9Lp67/7YnM9x662beabmPHTprtjA0bde53jLTK6/44oOUtMd/c+Ezh57Jenpo3EmaWRmWjBNOHcO3O40vN4Wjh0rxdfixenUmTTJQUqKjcpzXmpqmvE21dLsDeL3w8RJFjKOaAjNJC1dIz09A1dSNk3eRJRp6Gbtl9/mgOqP3vVE9/p4I998rI7a/9jE2wdup6Bd1c3y1FksGeB6jhbdgtORhBRQrxuEAn72vPkm8+Zei3tMFhG7hclNIX5X+DsaTpyipbaG+rPl5H/6dlpCQaqqq6itrqH63T2EgYAmiIRCCJsFhz1B2ZUXnKf6pjtFa2LO3w5OxsWsfqSb72y3nr845y+Aj5AX0rLb6VI/g7aGv051F1DZtQXIxc5JieMIRU+8zDGXC7fbzexF93Brr57HS2ck6FTZmTLyFxRE9eB4BWX54yjow3GtOtTpuVhS0k77YoFjeRWd5dwz56vP0XWegrOVxyEjj4zOwc66A6smMfoRuTBl8rVkZWXjTNLIyopW/uuPTmm6JC1dY/ToTNJSJ2EmpFjPNh65zkmHR9TNa9j/6oPMAF586hH2FPyFZ+5s59AbNZXRzTVcKp2dwDfeeCMvvfTSkDl/ARAapgmakGiaoMlvMHaik3/9h0kYhqSuppkHvvwHzh0o58rJdv7tl3czceZYYsWUoqcgWrUR08QMCnQtCP4KLOHGBAwwXq1xddvc0lPgH/TJPnEp3PRPb3DT9U+x/Ke/4bv3/wnX3Lv517+P2yjSmXXlDA7vOcFHV4xncnx68vpoxs6o/kbT9kJpaSkbNmzoc8W6DRs2XHCfJUuWKAfwMCQvL+/CO/XA5d7zVtE706dP5/777+e73/0u3/3ud4fc+QvKAXzZExaCOsKx30SbE1hq6EIjbEnFrTnRZSzzt8czxbdEnVaJoZuSjBfDhHHkc6GSublkTwJOxpxbxysoI17KpM1Rsu+d1XzipjNUlcOV18/pEK0OwMxxnfpPOLHZgXCECIlRJGErQ9f9CGsIaTSj60GkZsHqqkV3mdG7bg2BuwmcLjCs4PKCJYwQEtPuA2sYNDNmQ5dIrAisQIIMFl1ecDsRj4Ju91H+ma5GvqI1g+X8bYe/gfqAxOVyYbNdes7iiJBTq2O+5z2K1kTLY7WR29UBfGYjKwbJ+dtGiJb6eqQ1atDoD6aMVj14uXE7IWsYWiTESiYhTYTDwg3WmeQ4szGkgQ74HVdS4/8sY9hIqNlC/HlnGjp2ezNjvE9zOuN7IM1ByQLuSh+em3Ej4aaNFCyKO3w79qqKV0L48pSOh44ZNQP21lENPTqAAbCnM3p8erRcrdH/wAUhBKY0eeNsW3kuXWhE/A3UB9tervZUHWX76b3odjdmL2WDPVZntJJFgil7rjB6H/ulD22Ok/72/p1/Radu9alu3ECLvwVIYCp9jBGhU53mqWgJsnbPxFhJs5WrOt35qdFMjrJOc1Y0E78rBTd0lVx035Ocv4Bva0Z2TscPnHaiS4owJKRWRUekiDoVZbtS3RfSjnSXhtUCbnvUOJW41PqOgXjtiVc9uNCxBY91ozU9ZGv1LKcyznWQUwVv/viHvF7hxuVy4XK5cE/z0ghcfM7JpTOcZBUNtFzXY4WQrsFGMYPhg53XdvGgv3Yf5fdewaf9sb954Mv84kh0TeB2u3FdW0MlkNVur1O7XuRA1VxuWjaL7guK9uVO9kyLz0qyx0FOjonLBc0tUFZmMnr0KKw2C+FwhM9/cSk5OZMYPXoCyZ5mgnlH8XiO4fOFsFosjB6VQU1tCIlJ5midyVPB5dJobJIJiifrbe3Xs+5cWO96ohd9nHgNc678A1uOvEfB3La2OuOSU7vum2BMJBqSdIsdi6bTVF/Pe28UUX38I0I+PxZXEmLBQm584D6CDhv+hjRyzAinPjhMoKGBaakZODIyqPf5CSAImdGgsohpJq4H5oXmqVZ6052LCEjr93o+CZsH6stPkzRlIp4ETFMjQae6PONayz+3Zfpe7JyUOGaw+FszWp+1FQde5I3DbqZceyu5Cc4CHs46tSIvr53dYSl57YJZluatA3q2N5Q9t4KHN+ez8kKOq0WrKXkM8lYVsnHp4l7fr+OMGd1NlYr6DzhxAnJumkzi83/BMD2kp7nJyTFxuxOjU7lTJKmpdkJhBwmI/wNuYc3eV3hwVnfbXuStp+BLW27tssWq9++hE3cC33TTTbz00kt85jOfGTrnL4CAiJRYNY0km8Y5v8ln81NI8WggBOt/sp9dW6vJTbVwpPg0m3+whVW/vQ8JyNjDTSKji0bCSOnAYpVgNiJCTb1+dZ+ItzvqUK0xVgZ65w7K7s3tpDP9tOv2xrz72DjvPtj/W7716z/z4283s/z7S5gOkDOWqXv2UF3dzGRP1G7kbakHVw6OATTTTJ8+nbfeeuuC+23YsIGnnnpKOQJHMEp2ikslHijy3e9+lw0bNjBt2rQhdwIrB/BljBkxcFscTHJnQRNII2r8EAiIVXg2MDCRvdpEBAITEzTIdWeRYknCjAxGrbLE0L5cCZ1KmcRfzkrOnoKTJew7BFOWDFD47AWIjGrCEqgHSxgdP8ISBKtAS21G99UiTn4Id3wSNj2HPHEKwjbENdMQn70Bdh5CtFSCOxmhyehaUFjAtKPhJpQ60ObLWAky8lm5qYT1U9s+62JS2vwwDwMFjw2S89d/ntOnGtDcY8gcn9bvcrUjW06x0txPFkeNTyWL233Wec9i1q0qjmaPDJLzt7H8ILVBN2lZE0lz9X960jWdIy2n2R8+CQEdM1baXgiBsGqkmC5uT50X7VuK1mqCqEr+GmlV72KxncEISsBEYGIELKSJN6jxLcGXdIEypQmgu+yrbvtNdUPHMk1tGY/xDIaKk0Dxw8z/ky3q6Igb1l0uXK6c3k/eHt2BVe+/QTTedz7V3ua01IVGnWlg0dre4DxWJ7rdQ6o9qVcHsBnvK5xQJ3DXzI9LJe5UjAcjjRRGok4tfuQFVp5cyroXilj+yGI4U04xxRR3zpSLkd/pt3EDnK02EBhGGF3XAQ3s4yHciF2ayJYPEEIgTTM69wiw6IK/+6SNcHSZ18qW/WGqvdGywylO0ZqhHYn0M6sqVgGmJ8d6n47t3wi6sPuZAtbvcHHNPT9izT9FQwCPvfkEWy+l6dxFMqxltWg1JZvGseKueLZiJ0N6ZwdHvF9cO4NhPNgs/8G21hNFa/J4+GTnL+tK/NgF3/o9b/w0mrFY/OxynqnrtOOhV9jqdjP3U9d0DeAEQr56sPQv+C8cjjA6azRXXDGZsrJKRo02yB4rObC/mvSMTLLHjuVI6RHq6+vRdQumEaHFFwAE6RkZCE2npcVHWpoNiwWCAZ3Zs+cydux4pDQHvqDIQOjOJZwzNXlgM+oBAuEgkVCIDGHFoVsYO2UKwdo6TF0QjIRpOnWGdX9+BM1h5wv/9QOOvr2D9/74J0bNmkna6FHUtrRAOEQgHCZ56mSklJimSTAQJBD0DciYu8xT9EF3+vwsTcR6Pokx06/Ddf4IjZVnibhcuJNTseqX/oc7InSq0zOua/nngZmTLoXsuXdiOfIGJ85VMDY9O6EVlYazTq0vKSEaKLEWVkUDKIrW5FGY3XuwQ/x9uOCxkj45dKOJB4UdK5ud7Eb+p6qoALrLsW8oP0sVU5ne3USVAExTMnbcWKZNm0JZWSUZo/qvU1dffS0TJ+YOTtGrD05xhAsEIPeDn/3sZ4TDYaxWKzt27ODAgQPMnTv3wgcOABZpRN9RBXgcGghwOjRMU6LpsGdnDbpuwWINYXHYqTxRTbDFj93lbA0QjJeDtjg09CQHum6AxULYmtz7l/eBot2FAF2rikQ/7VrZoI/2iX5xzd08cc0stnx7M3987QoeuW06kMPoKXs4WF2Fb7KbJOrxNYA7J/G90BUKhaKvdO75O23aNNUDWDGwRMIRki0OpnsmYBEWNIKdDOKx7IKYoTz+E93SZliXUqIBFmFhmmc8KZYkIuFElCrr3NvyIjlTTjFcuLxPa7mSIthZDJMK2uf2kD0Jnt79Ljts73GI21lyKVUezBBo/XMtBiYl4TlbBtYwmulFCj/C7sCS7EW4BPI3P0L84HnEc88h33gdpI74q1shGIQf/wKRJjEjIbALMCVSWhG6C8wMAlP63wekN7ovQdYDyx7lhexClq7K66YfSC7j8i+1v2x3+Dh/+iy+1HY9q/rJSJZTW5+xvvRhyWflpgLK73q4276Yl2S87426Mk7Vupk4YzKpCWoqGzLCvB3cRkQ7B0iEZsZKC2tghc8l34JHdxExjFj/c4k0TSJ6Gmc8f8fUln/DwIIwwyBktEy3NUiWsZkyYy7oCe1+24luSi9dDO3LNNE54zFWGWHSo+zqYymz3um/VSA+L7V36gokpuyYXWzGPjOl7NUB3P6cCaNL5kfiSbhe2W04ScR8HWVk6lTs7z3OhHHkk8/CC1RJuHQmMWaIrcGBQAibzYEprIiUG7A1H2JXeDSbTjbzrzl1ZDpTMaSJBR2LDssXxu97VKd8QckrB8KAxDAhZ5SIZXoLgsHgUF1Wa5Z2YshlbC6w8394/P9m840nvsPt4y94UMIZ9rKaupz1JcuJZyI+nFfWLksxl+V3FbBuVbREam7nIMuta2PZVZegaxdz7OxPc+eo47y+czO2m5Yxq71x3d9AS9BCsrN/zxYpDTIzM5k+40oOH67E6TDJzpacP3+eGVfOZsyYTPbvL6GutopwyI8QFlpamjGlxOPxABKfz4/HbUMTEAjozJkzj3HjJqFpiaqs1AsJ1Z0BPGcCCAf9NDXWY/oDWEyTZQ89SDgQxN/SQk1DHV5vM5PKF3HwL6/wzJe+itPlYvGX7uKahTdyxi5wZWRgd9hINiJYXU78AT+BcIjmhgbqmzpHHySKTvNUX/7++3z/e1/PXwyeMTOi7ZBCPkJGuF9z9sjQqfZloHOp6BwEOMx0wOVMg4ogQUioA3jY69TxHWwvzqVgKkSDXPNZuLQXyWxd2+r8vdTy3PE2Yl0cwOcq+YBZXNelDUsd5WfPwZRZ3QYqJQJNg+zsbGbNviphOpWXdxM5OVPRB6Po1awcZgzQqdv3/H3ggQe69AQebDI1PzYLGKbEqkmSnTqxwnAAjMp0ARLNoiMNE4vdgm61dqplIhAygiPDjcUZQpgRTM1FwNPfyNV4dYnugihiSR8DVtngQszhhttKOLT9FCdum84UYPyUuZTvqKa2ZTJJIS/1pNHm/+1f9ReFQpE4+lNOeyTR2fkLHXsCD6UTeCD7oiuGmCaflwzNTX76NMJGgIhpxDJ/407eaJaAJjQsmo4QotVgK2Ll5yTRcnKGNAgbQa7PmE665qLJ5+3f4BL1wtSnaLOoU7G4opjy4q7lABffUAD7z3Hg/AG4bTZD9Vjyzp4MnnpEihc9qRbdaERLSUFPaUKMjkDDe8gfFsBHexC3zEPckg8fFCP/+R+h5hgy3UQ4Qog0J1oojCYskJQMZOC9PsG1oPrC1mIKe9iUe+96Xngwn8JVeazd2nV7cUUnF3DM8TIcuOzkFM9q7JbFrC55lILidSxdsbEbx3wsiKMd8YjR4UDE1Dh14hvUHFpHben3qT7y/1Nb+kMqj3wf/+H/4v2jX+CZ/bk8e3AqvzgwhV8cmMKzB6fw9P4cvnf8bzn+5hcJ/ymLxi1X0/yXmXi3zCDyh7loWz0II3FOte6Il0kvuORsjWiZ4eKdOyiKGeXbZxJHDRfFbEvIaD8eFL2wjuL8lW2ZHwNGovXKT6L+XEemTsUy3uNMzSaXYrbv7F+oUeHuoi6fFe0uhLyxXEQO/YDg9UbXaCZgZH6RQv84Vrfcwp9rG3jmg0KEiLYBiZgRTNMkFDHxhyMEw4ApWP9mgFM1JromGJ2sM21sW+nu+Lkvmak3sjC/l/vXK9H1XHfHtgZodFrj9fg9+eN6kdMRzhzocWNCGday6kAuy9c/SgHF0QyoOLFgo+KtRRQ+WUzBXRdyLkUNi5fGLg6/0f2W1Nm3cducTE7te5ljl94qsFcyR2eTd+08vM06DoeD7HFJBAJByspO8v77h5kwMZc5c65m/rwF3HDDPCZPnoorKYk//+nPnDp1lNQ0gdWahDPJRpLLYOaMeYzKGKyqQz3rzqXPL73o4+n9HPwQPjHj6q7bBhgjEqa6poKjZ07RFPSjWa001NfhyUhn+jVzmTVzJp/9m2/yt8//gvlLv8Bdf/93PPJfj3NHwV186trrmSpsTHWnMTN3CqMcSaTbHFhbAtRUnqOxqXaARt1pnuqWzrrTy/3vQsf1fB8S8HvHltSv7N84I0GnchcsJJ9Cip/rbo65+DlpIGnx10NytKVEIhn2OnWmnOJWm1AZ5cW9lKON9cK+WOdvPPs7P97fPv530cmOsevAyzBzLrPHdTrBR+9TbmjNTQAAIABJREFUfH4sc6cMbKTZmKzxzJ/3iYTp1HXXLmbsmMFa1c5g0s3wu11dJ3p/sOWSz9re+fv000+3loOWUnL77bdz4MAgLfjaMYZmkowwUmhIBCluCyfOBEFEbbB3f2U6qal2KioaEJrGJ79xExabJerKFG12WkuShnWUB81igt2GP3k6IUs/kx62FlPYrmVeR6L2BTYX05eZZ8DISaW1nkjKGEZn1FJXV8P5qiqSRqcmrKmaQqFIHGlpA18FaKjpzvkbp70TuLS0dEjGpxzAlzHeZi8iIkjTUljsuY5J9rGEzAhaLApKIBFCwx8OUN1ST4tswmf6QGpIEc0UFlIQMMJMtI1hkeda0kQKIizwNvfXqJTLuPz+GWCLdhfCpL44kqPRu2yO9m7M77zYX5TP5/kjW16C2ZmdV+t9ROu/KjXMmIORGkRL9qJ5DGTjh4js6YhxDnBXI7IiiJb3kD8pQP7HHch/+xzyh3+LaDwCo0ykpRExyYX4f+zde3xU9Z34/9eZW2aSyZVrAuGqAUEJNUFQuXmr0DZWXQkWEdhaC37VglsofFe72l3oD1b6E9u6gltdActK6KpL3IUWRYQgIEkFbJAEISRAuAQyuc8kM+ec7x+TGXKZ3CDJZOD9fDzyIEzmnPmc+ZzPmTPnfd6f95B4tDOXwWJCsdpRY8Mon9CZ9wE3NzRhHBzMYq8/aLGTVYtbv6A0dM5aXp1BkyCwr6+WNHisgPdWN64r3JLYqIGQd44z/kfCCbMCZTX4Z3LUr2368lDuJ9+NFw0vVBRsWNW4tlgz97J08wuMaxoEvmcc6RzktdUNHvtsVZO6wi3oHU0sxRQXl195zBqGnSqcNXUd2KDWhZuNjLLEUXX5Fmou34Tr8ghqSm+m5tLNhFePpKCqF8fLYvm2LJZvy2L4tiyW42VxnHHEcrQikjXuFzEcMeE+asWdG4nnaAT6kXAu6Snolq6o3gTeO2tTWLLl2mtkD71rIuMOvsaSABflh85JJ50M/u9zmyhquNBX/8kHX7e8zprTh8k732Re1GscU6Gh/m7ou1qqteftt5SV1/h1+FrGVSDWSGxWcJZXdEoecCiOKe/NFON44THfaKq/OeL1x5rcgFTAeysD3ejSgkafU75acvDYjFkM6pSWX73y8nJUVcUEqLH38knkTzlfV01/i5WM49v515w/UFlXjclowmAwYDEZsJlNmEwe3v3yNB/nWIi0KlS5YGKSgYFxCugKqqpSXl7e5uu3zps1ypYlLNjQ4N1u134+lNmLX2DcliVNxtpOVs18jYMzXm1+QbeFfkqfOdsbAE7oz638jSNfF/ufc+x/t3Doqrat43pyXxVsWMV7DW9Gqb8o2Hha9PqacJszKGh6jp04gHFNbrbYuXJJizcHNhJg2X3rVrGjlUWiRkzh9kFQnPs5RY76B01GTHjQtGvPCIyIiKNP7yRsVsjLc/NfW6rRdZ3Lly+Ql/c1bk8Nbo+LOnctrtpqFKMbmx2OHz/GhfMlOJ06m9+vpqDATfwAI1ZrX4zGrjqXaOpaxp13+eaBrpbG417eXryRb+59jvSgzK6pUOa4QHbuYY6dP0f15ct8u2cfzlNFlH75Fc5vC7iw7yDqX3OZNHESNrudL/7yvxz94gsKvzhAVeEZnMdOonydj+2CgzhLGMUnCygqLsDTRVNAN/ucatfYaeV4GPBc5Mr5/I+anvu16RJFhY4G/1dvnDHlu2np9UA3AV7FZ1JnyP1vNu5rfKdL5fG9HDkTy+ChDaZ/dlVQVdUZs3b07DFVcLrgyvn5ZwfJaClBoD74O27hn1rtl50rFzT57PNmDI9b2DD7ezbpMyBj8aorgbCs37Fq2xhmzfkeTSsAnyj6GvoPpH8L1Z5UVyUeLfDfOiImph+DB43ttDEVFzcEq7XrS1R5jWThMwsg4x945aMrV3O49C2Oq9xNmgZ/fYIdBI7QXSRZKrBHRaKpGhYLfJ1fRfbfqlAUhe9+fwi/efdB0n+Sys/+7THum3cnqqqiqRq66pviXiNqQBjmqCjMpssQEUFZ/J2opmsLf763OaN5CaoGWrr5oYVnd+BGpcZ2vXonv8tq8uDXH/DbP5/k9pQ7uJI2EUXfPr0oKz1LeWUkdnvDW2Ak+1eInmLVqlXBbkKXai346xPsILBMAX0dq6quIiLcToQezpTI71CpOcmvPYORMG/l3/rs38q6GoorSzjnPkeZWg6KwTtVNGA2mHBrHpJsg3gwegLhmpUqd2UnZBXUT6n0xV4K5gz1n6T765P6vcZjKfWVJ2a8So5/ulLvxfj01e0Ljwy9ayLjXj/Y4O7Qxm2J/w6Qn8ztY6/2rsxrH0rOvjfhGHUnvUv+F00zQsF/odX+A8rfvwdbn0CvcYBuBU8YOM+BywyJ4ejOWqjUUaIHwrLFaKU18PlX6P3sKHXRlN5nxTWsa+ftGTpnLa8Wp7DEXycknVdzXoVANYAbuHdZDq+SwpLFKWTU969/XYtT6i90jOOFzX/ihdWP8UYb7Yi7/TZGHtnDvi2niYgYxR3fG03vwaPRiwq5fMbtrW9qj8JivvptDeV+8l38KfDX8/NO7/OnhasC1ABu4KbZrN0MC2a+xmMpWfVT0vnW1WSMroaUxW2FUG5m1Pg8/verj/koP4LE7zxAyuAEhg3WOXn5DBdqI/x1aa+Fpuk8fMsFdp8xcN4ZjklzUuvR6B1hJjLcjdtZh0FRvLMh+Ke9V6hFJ7ZWY1fiKL4YPYs7i96g0jYWu15FaUxvKqZPQdc0lE648YMtV/rCJ311DjmdccGovnbZwYMBbnzhXpbm/InE52bx4/vfuVID+Pa5/PM/tL7ayjO5HCtrWDM4AoulO+YGC56CDd4biF7t8nrYLY+rKa+cv4r1WYlJ6EfFhSpcVYYbc0yNe4E/5TS9AWItOYmrSPF/znilr85p9+wk6av/xIDNKaQs9r8QL2xuZy25LuZyuXA4HPTu3RubEsbisbM54fiWi04HEeZwNnzzEQcvfM3dCbczMnYYCgYKK8+wtziHI+cuExM9G6fjLhJiPfzoTgsG3QMGE6WOS7hcrmtv4D1L6z8rHiPF99nT3s+Pm2azNieBVSmN+3ncwj+RE2B8ttlPQx7lnxY7+Ps3X+S5//F+7kyZt5K0sO6pAdyz+6qgSf23wFPS3vvYC4yb+RoHZ6SztuEfbprN2tVnG/Vz+ur68762UhAbLHvnm95a9enLP2FhWIAawA30v/V7mI5/zqkT2dQM9Jb/iIy49ulqAazWGEwmG5GRCvn5bv6a48JoVKisLOHEyQoGDO5HTW05NU4rde46NL2KsHA3hae+xV2noRgV/ufjSgYOspA81gpEoWlGFKWzpqs9GLBenz/T7VrGnX+67/px5/tO1mQ8+s4LJix4i/94KAhzqgMYTbhqqig4/Q17D/bj4bsmMjQxka+27yDcbEHTNKxhVuzRUdRUVxNhs3HswEEMJhNmaxgmSxjVlZUoqgrDE/HU1pB79DAXL50GYyddOmnrc6q9Y6eF42H66pzAr1t/Pv/8k7/jx/d/xfNvv8oPmyb3lXzJR5u/pMxuJ+LIn/lf9yS+d6sJSk5wzNng3C8ymms98+v5Ywr81ywOHgx8E2AHP5Pa0vRaiN3+b8z/3nrv+562lP940jtX2alP3uT/33fl+1JExK3c9XAyDWcedtU5IawTAuI9fEwNnbP2ymfPPUtb+A5V4A1sAQdfb3AM9GlUyqr5sTRQxrD/OkZKBhaLhYiIiTz/9qt8r+mhr+RLvv4bjEwbTWvVWTVPHcZrnGs5MrIPRqOVqCjDNY+p79xuIzy8P4pyDRdOmtnFslQby5o8uuB9J6/9EPjhaxyx/5q/+7eFLN13E0lJSdw8+YdMHtjxNrQU/PXxBYGDMR20SdFJtjnYj5UaxYDV7J0C+v8uP876NbcwcEA4935/OPd+f7h/Gd++EWa3ousGwu1Goof1wmBUibS5cEcM53Lf8dfctqyDMG5hSzc8c6U2+ub3SL9ndhtra+HcoZ3++5X7+dTe8JrDWP5u6b9wd7/Gz7MPG0zC53mU9x/BkM6eAkEI0UhHj5Njxozpopb0HO0J/voEczpoJScnp8sLD61bt4633nqLnJwrX0ZSUlL46U9/yvz58zu8vmtZtitMeb8TLoYBnz/e+dl/8f370z8hnldOvM0nZQf5ouwwFlMYiqJgVkzouo5RMXingVaMeHQVt+bBYDDgUutQgAGxUSzu+yTPxKZTVueg7FIZDoejzddu07fvsWBm1tXV4ftsFSmLueYMua62b98+Tp48yRNPPNGu51tL80ja/wwmSyW6rkDy38E9b6CY4tAd+eiuMhRVA90AmgE0BR0zijUGJWEwemU5vPo2bP0WRbsFtxLP8VcG4xoq93q0RvopdHSkr1RVx2hU+OxUOK9lJ6K4q9A0uCkmApNRQdd9dWIb1IfRdTQFwnSdywYzQ1yX+Le9U1GUGCIMFgofm01Nynh0VUXploJIoakj/XTfoVf9PdDwhMSoGCh1lvPFo6u5s7+3KtS0/3mFv5z+ipiwiFZrADfs1U/HLrmGLbn+yZgKDR39nAoLCyMpKQmz2QS6whcXDvHLfWsorrpITFgkNR7vuavZ4P3c8egqmqYRbjFRUVdDv+q/Z/mUmdw9QgWMeDwe8vPzOycA3JIQObdryw3RVw1dy/l8EHW0n3Qd3G4X//TKfXx7vI7TRWC16SgKmMwG4gdFYLfbsFqtaJpKaamLy5dqKD3vxOPRMRgVFCA1dQj3P3Ar3//eMiyWMCRDpW0d6auUVc94P4I8dSQOuYVbEm9hXEQc9946hjpnLX369UMzGTn81VdMmnAn1qhIPt27B5PRTC+LhZioKMyKgQMFx9l96Rwnyy/wzd/246xzgtFMztJ/6/oNDlEypnqSOqodDkyR/QgL8PVSxlTPoeu6/0dVVVRVpa6ujurqahISEhg1alQH1gVOZxU/emIQx/Nrr3pM3XHHMKZ/7zs89+w6rFYboTimnn76aYCAwd+GDh8+THp6OhkZGZ0SAN62bRt2ux2bzYbRaMRoNGIwGLyzK3pTd9E0b5m9bef7suN4HI68s5QXVFF5qpzUYbB00TBGjIgiPMJEdVk154+fIzzcTK+EGJyl5Xyx8HUGmIvoPywGm3qZQUlFFI5fyOXe46n/MnbN2xFaznP88zzCxkxhUBuzzB45coSvv/663Z9T1yJQHESIUPf555/z7rvvcuTIkTafm5yczNy5c5kyZUo3tCx4fvCDH3Q4mOsLGn/88cdd2LLGuiXakJDgrcVSXFzs//1q+dKkk5KSrrld1zuz2YzJZEJBIavsMJV6NcOjBxBv6EtxXQnFrksYDUbcuoqiq7jwTr1qxECdp46hln6MCB/MtL7juDP8NlTVTbmjnJqaTpr+6qbZpM94jSV/2snsDtwJ5ruDc9zCP4X0BcJmdB1X3AhOj3meocXLUcIM6Of+C/3Ph9CHPIoh6mYw2EAx4D0J9wYXFTcoZR60gx/Czi9RvqmC2CHolW7Ozu3lDSrekCeCXUT6KWQYjQqaBvcMqeGzwgoOlsQyyFSN1aSg6jpGg+Kvie4PPSpg1HXcRoX+qouD4QP4y82/5Iljv6B49A+pSRkPmiaBqk7k6wGNxpcX9PoAr6prqJrW6DG9leBvw3V1+R1uNxgZU6GjtraWM2fOMHToUDQ07uo3ljem/BO/O/weu4u/REfBbDCh6d6x5Rt7FbV1pPZN5rn7b+KOfiq6bgR0Tp8+3eUBRW9t3hfanYV9vQjFvmrIVx99aQgFf6+eQnLyOKoqT1J8tpjUcVbCw3VsNoWSUgNRUW6iotx4PCq9YnQGxitc7GUhzAoRESZ2flpNnz4DGDPmLryVmOScr9Pp9TcgmcycLjqGy1mNetsEEk3w0B3jiI/0TmeaPHIUlaqby65qUh/8Lio6sRYrMR6NI2eLOHxG5+vzJzn17WFq3XVgNIPeCXO0iiZkTHWJuhrqsGPrjKt9MqZCisFgJDX1Lqqr8ik+e+aqxlR8/GDGjbsHRTESqmOqrcCvT3JycrdPxWkweN/T7/a7xIUSjUOxsVScqiTCZuTbbyv42fw93DbMwMDeOuWnzlL+txP0s6tEGWuJUDzcNhJ6DbSjuuqIG2zhwq2P38DBX6g6WUgxCYy5/kuMChF0U6ZMue4Duh11NUHcESNGdGvwF7opADx16lTsdjuLFy/m5ZdfvuoU57y8PH71q19ht9tJTU3t5FZef2zhNowG7wXVI9XHiY+MY2zUcEbqN/HX6mOU1VVgNJpQ0eqv0yreC7UY8FDHreFD+W7UeObHPIpHdVNRW0nZ5TL/BajOcO+yV0lPWUIK7Z0OpID3FjzGa7zAn7p8Ks5uVp815Rj4CBZLGQOqf49iUdC1ApRv/xVN0VAMCqig1+pQi3d64QoLusMEl2zgHojSqz+U1XL6+wMpnRRzw54IdhnppxDjvWjx5K2XOHcwklhrLLquYFAUlFbechPg1mGYAm/e9Dj3OvdTft89qCoYlFD9Ktwz+QK1BgBF8Qd3FUUBXSfSbMNYPzWwyWD0liho8Lxm61MUFF1vmIMqOpWMqVDhcDgwmUwkJnqLto6MHsaaKf/IgfOH+bz4Sw6X5HGh5hLo0Cs8llFxw5kcn8rdCSlEGL01xBQFTp8+0zkzv9Qr2LCAjMS1jaZT9NbmHccLm2ffcAFg6Ll91aZv3yNjC6Svvv77zXtsUxibfDdFhR7y886TmhpOXBxERyns3mMiJtpDr94e6uo0DEYDBsI42yuM2DiFuDgjWXtcxMcPZNQt46mulqNe16n/MDKYKLlQRFZFKce+Pcp/D72FiTePInngEGKjIjGYTTg1jcs11VyqruTMpRJOFJ/mbyfyKDpznMqyi+gGBYxGCVR1ARlTXcgSQ+y1zXrfhIypUKAooCgG7hh3D6cK6jj2TXGHxlSvXiay9rhITBxCaso9/kCl6BpGRSP9llIiVZ2dZ2MpOFONzaQQYQnjbGE5Zd9W0Mvkpu/APoS7K4kMtzNymMbAAdWEKSq2+CgufudWHINv995M2xmldELOGQqPXSbmttuQ+K8QQrSsWwLAkZGR/jmuZ82a5X/8rbfe4q233urQuux2O7/5zW+IjIzs7GZetQgzVLuvfR2dzR4egdtsohr46x1/IM7aiwi8F4mc1FKiXuLPjmz+WpHHsapCRpBIon0AQ6MGMTHmJvqaemMljNIKBxWOcsoc3uCv7+J757iXpTk5LG3384cye20ObVWbCF3eUMiFvn+PpyaGhLo3MEeWo9cYUBQTaCpoOopbQXHraDWghBnBFoFutWGo1vBUGjnz3bsp/c7NElTsMtJPocJgUNB0nZt7ufmXu0+RWxLtnWaLKxeeAtJ9eYw6msHA0dRniI10Y9D0G/TLVdfx1ppX0dG9dWAV7/Rjuq5jNJg4ePE4NWotAI7aKn8QuClfIFnzr0PBbJCs0s4mYyq0lJSUoGkaCQkJmM1mzJiYmJDCxPgU71TC9TcBGhQDpibjxe12c/bsWUpLSzv13G9o4lAymtRfhvSQn/r5WvXEvmrRt++xYOZrHCRwbcTrlcGgMGrUVI4cOc6ARJWCUx5OFtSh6x4ULJSV61RVa5SXm1BVN6rqJDoKik7DtycVht2k0qt3BCZTPLpeHuzNuT4ZDPU3NtefW5vDqK1zce70N1y6eJrsYzlER/cmLiqGSFs4uqJQV1dHVU0VZRUOHGUXqapyoKoeb31SgyLn6V1IxlQIkDEVUgwGhXHjvs+hQ3n8LXfPVY2pfv2jsduHUltbF+zNua7pOoSbNB669RL9jDa2uyMpP2PB7NSxGKqJMdmINEKk1ULfqCiG9a1gRP86LEYbeu84qpJGUdMvwfvN64YL1p9g/7t7OB0RwaCU6YxP7IR6550sJSWFH/zgB8FuhhBCAN0UAAZITU3l448/Jjs7m/z8/KtaR1JSEqmpqT0q+Atwc6yBQxev7Q7Gm2M7/+Kn1WoFgwG1thZrrYWa6iqcajWapmGwKIRbwkg1j2BIdH9KIyqII4pIk51IUwT2WhvVlZVU1JZT5azC5XSh1U/B2eUXlW543i9Fl8Mfodoyir6eTcSGfYIx3OXNJvWAbgLNBAaDG4w6GEGrC+NSvzu4eNP3cMUNkC9WXU76KVQY6t/f/pF19I8suaZ1KTfcl6uuNzH6Zna6vgWnB4NB8QcTNV0jMiycn+5+A11TAQi3hGM3W9ECBDh8IWGDwYCug24zMdF6Q8xJ2u1kTIWWy5cvU11dTd++fYmJicFkMnlnc1SMQPObJDweDw6Hg4sXL1Jb6735olPP/e5ZSk5O+2/9u5H0uL5qyU2zWZtz/d6O2RJFUbCG9WbIkFu59dYzREVGoqpuQCPMasRk9F58D7eBR9VQVQ1rmIKq6SiKib69axk0aBi1tXWSWdVVVI/33yb3iWmKQm1NOSXVDkrOn0QxmDAYjCgoaLqKpqmgebzLGc3ec3NdBU/9ebpMK9IlZEyFABlTIcVgMBATPZARI1L4zncKiImOxuOpo+mYioluPqYMBjMJ/WtIShqFroPRKDdodqX6ya4wmxQm3uZizFAjx/MtnC+KpeqcmShFwaZVEm2sYkTvcsJtTur6DsTdty/u+AR0cxdkEYWM4UyYN5wJwW5GK1JTU2XmUiFEj9FtAWDwZgLfc8893HPP9XWb+LShxmsOAE8b2vlZSlabDV3TcLtcqNUaNc4anC4nmqYRaY8kKiqKW8OGYjIZUeoLxOh1Km5PHdUuFxUVVVRUVeBxezq9baINigK6hss0giLTryjRfkSUZz9RpoOEGU5iMpSCEeqMcbhMw6iIvIvKIRNw2od7l9c07926omtJP4UUXQftKovCGhSJ03eVZxPuxXDByOe1x/Do3kCvN5HUm2kaG2b3Xx/y6FrA4K9vGV/3mg1GpkSM4Jl+Up+kK8mYCh0ul4uioiIuXrxIVFQUUVFRhIWFYa6/eOR2u6mtraWiooKKiopurSErGpO+6rkURcHjDmPggBHcdlslNVU2QMVgMGCP0jEajCi6gaoaDx5VR1VBUxUUg47ZpNC3r0Zi4lA8Hg8GOf/rErGRMVf+47/JUvfOQqEYMSjemUK8H15XatWD4p2NQlG8s5HAlWUlStVlZEz1fDKmQouiKBiUSIYPG0NKymVqnXZ03dOuMWUxG4iLq2P4cG/JPhlTXc/3XUjTIMquknI7qMk2aqvDcLtUXA4LUTY7kb0GoxlM1FmtV74HSyKBEEKIdurWAPD1avpQI9sL1KsOAo/ta2B6FwSAjx492uLfSh2llDpKO/01RSdSrpxwOw0jcTKSC/o87/clc/2PrYVl5WS9+0g/hQxFAaN8R+pxYs3h/OPA6fzjwOnBboroIBlTocflcuFyubh48WKwmyLaIH3V8xgMRtyeOgYMGMGAASOuaV2KIueAXeGT5/412E0QHSBjqueTMRVaDAYjoHPbbXdy2213XtO6ZEx1n4aXhYxGnfAoBaJMRPeNBCLxpeQ0+tolwV8hhBDtJJ/onWT5RAtj+3b87Rzb18DyiZYuaJEQQgghhBBCCCGEEEIIIYQQ4kYjGcCdJNICr99rYVuByvYCleMOjWp34OdGmL01f6cNNXZJ5q8QQgghhBBCCCGEEEIIIYQQ4sYkAeBONl2CukIIIYQQQgghhBBCCCGEEEKIIFFycnL0YDdCCCGEEEIIIYQQQgghbgS6rvt/VFVFVVXq6uqorq4mISGBUaNGBbuJogO2bduG3W7HZrNhNBoxGo0YDAYURUGRmr1CCCGCRGoACyGEEEIIIYQQQgghhBBCCCHEdUICwEIIIYQQQgghhBBCCNEDGAxyuTbU+LK5NU3z/18IIYQINjmjCDFyAhFapL9Cg/RT6JC+Cg3ST6FD+io0SD+FDumr0CD9FDqkr0KD9FPokL7qeXx94gse6rqO3W4PcqtER0VERPj7rykZd0IIIYJFAsAhRupGhBbpr9Ag/RQ6pK9Cg/RT6JC+Cg3ST6FD+io0SD+FDumr0CD9FDqkr3qGloKEmqbh8XiIi4sLQqvEtbDb7aiq6s8EBhr9LoQQQgSDST6IhBBCCCGEEEIIIYQQons0nDJYVVU8Hg9ut5tevXoRHh4e7OaJDrrpppvYt28fbrcbo9GIwWBA13UURZEgcA/i6xMhhLhRmHzTU8hdST2boihomiYfUiFC+it0yMlfaJAxFTpkTIUGGVOhQ8ZUaJAxFTpkTIUGGVOhQ8ZUaJAx1fM0DAC73W5cLhdGo5Hbb7892E0TVyE6OpqkpCROnjzpH28mkwmDwSDjroeRzy0hxPVOURT/j6murg5VVaVIfQ93I384heI+eSP3lxBdQcaUEJ1LxpQQnUvGlBCdS8aUEJ1LxlTP0XR6YF/2b2xsLGPGjMFoNIbkdbBQ0NVjYNiwYdhsNo4fP05NTQ1msxkAg8HQLa8vhBBC+D5rDAYDRqMRxel0ylmF6DGu5iRXToyFEEIIIYQQQgghhLhxXU2AVYKyQgghrmemYDdACAgcxJXArhBCCCGEEEIIIYQQoi0duY7oC/w2XEaCwUIIIa43EgAWQdP0xKyt/7f3b0IIIYQQQgghhBBCiBtXSwFdRVECBn59j0kgWAghxPVCAsCi27UW6G3P70IIIYQQQgghhBBCCNGSlrJ7W6uJ3TA4LIFgIYQQoU4CwKJbBQrqtvRv099be0wIIYQQQgghhBBCCCF8WsruDRQEbhr8lUCwEEKIUCcBYNEtOhL4bS0g3Np6hRBCCCGEEEIIIYQQN66m2b4NH28a4G34b9PntRYsFkIIIUKBBIBFl2sp+NvW72azGaPRiMFgaPQjhBBCCCGEEEIIIYQQbdE0zf+jqiqqquLxeNod6A0UJBZCCCFCgQSARZdqGvxtGuht+JiiKJjNZiwWCyaT7JpCCCGMKZp7AAAgAElEQVSEEEIIIYQQQoirFyihRNd13G43brcbj8fTYiC4tUxhIYQQoqdTnE6nzKErukSgqZwDBYEVRcFisWC1WoPWViGEEEIIIYQQQgghxI1F0zRcLhd1dXUoihLwB2j2rxBCCNHTSQBYdInWgr8Ng8BhYWES+BVCCCGEEEIIIYQQQgSNqqq4XC7/9NCBAsASBBZCCBFKJAAsOl2gaZ+b/iiKgt1ul5q+QgghhBBCCCGEEEKIHqG2thaXyyVBYCGEECFPCq2KLtNS8NdoNBIRESEnSkIIIYQQQgghhBBCiB4jLCwMo9FITU0Nmqb5k1ea1giWmsBCiOuFL6Gv6TFNVVV0TfP+zWDAaDS2aznRc0gGsOhUrU35rOs6ZrOZ8PDwILdSCCGEEEIIIYQQQgghAtM0jZqaGlRVxWAwtJoNLIQQ1wPV48HlclJbW4ui62BQ0HUNdG8AGF0DxYDFEobVZsNolPzSnk4CwKLTBKr7q2lao8xfu90ezCYKIYQQQgghhBBCCCFEmzRNo6qqCqDZlNAyFbQQIpQ1nMXAXVdLZWUF7rpaVFXFYrGg6xqa5o3vABgMBu+PolDndmMwGLGEhRFhj8RiCWu2TtEzSIhedAlf0Nf3u6IoREREBLlVQgghhBBCCCGEEEII0TaDwYDNZsPpdPqvczYkU0ELIUKR77hVV1eHy1lNdWUFRpMJl8uFpmn+fw0GQ6Npnn2PKYpS/y9cLqkhwm7HFm7HbLbIMbGHkQCw6BStTf0MYLfbZeALIYQQQgghhBBCCCFChtls9gdEQDJ+hRChT1EUamqqqHU6UVUPNU5no7/7YjqqqjZbzpcRrGkalZWVQP1x0qNii7ATZrVJELgHkQBwCDh8+DBff/01hYWFAAwePJjbbruN5OTkgM/funUrycnJDB48uDub2YwvAGy1WjEYDEFti09eXh6KopCUlBTspgghhBBCCCGEEEIIIXq4sLAwVFXF4/E0ywTuqVnAvjb5/9U0dE1FQUExGqGHtberFRYWkpmZCUBaWlrQr5uLnqewsJA9e/ZQWFjI4MGDSUtLIzo6OtjN6lS+40FlZQWumirq6upwOl0oCs1mczUajRiNxkZTQKuqiqqqjY6DiqJQXlGBNSwMt7uOcHsUEfZI0PUb7jjTE/X4GsBlZWVUVlaSmJgY7KZ0q8LCQt544w02btxIWVlZwOfExMSQlpbGiy++2OhDy2az8eKLL/LSSy91S1tbyv7VNA1FUYiKiuqWdrTl3XffZd++fQDceeedzJs3L8gtEqHizTffBOCZZ54JckuEEEIIIYQQQgjRFV5++WWGDx9OWloasbGxwW6OaMDhcLBu3ToA5s+fH5T+8Xg81NTUAPinQO1ptYAbBqKbBoDRde8PoDdo943g97//PUuWLGn02FtvvcWTTz4ZpBbB8ePHAbj55puD1gafwsJCHnzwQQD+/Oc/3zDB8fLycnbv3s3u3bvJzMz0J9/5REdHk5eXd90FgcvLy6iqKKO2tg5V9TSa5lnXdUwmb85oWVkZpZdLcbq82cHhtnDiesUREx2Djo7Hc2VZ37HGYDAQZrEQGRNHVNT19b6Fqp6RltmCsrIyzp49i8fjCXZTutUvfvELRo4cye9+9zsmTZrE5s2bOXbsGE6n0/+zf/9+nn32WT7//HNGjhzJihUrWgwUB4PvoBEWFhbklnh98cUX/uAvwL59+/jiiy+C2CIhhBBCCCGEEEII0VOkpaVx4sQJ1qxZQ25ubrCb0y65ublkZGSwcuVKli5dyssvv8y6dev45JNPcDaZ0jOU7dixw39NdMeOHUFpg8lk8gc7ApW/CzZd00BV0T0eaBAI9gd6FQUMBqgPXt8ojhw5wpIlS5g9ezbnz5/n2LFjjBkzpllA+Ea2fPlyysrKKCsrY/ny5cFuTpc6cuQIK1as4MEHH6R///6kp6ezceNGxowZw6uvvsqBAwdwOp1kZGQA8PTTTwe5xZ3Dd5yqqa6i1lmNqqpomtosgGsymaisrOTglwfZs3sPhw4dIj8vn/y8fL766iv27N5DdnY2NTU1GI3GZpnAmqahahqumkpc9Z9BPeUYeaPqsRnA58+f5/Lly8TExDBgwIBgN6dblJWVMXPmTHbv3s2LL77Ik08+2a47bpYvX86KFStITk5m+/btxMfHd3sGsG8ga5rW6P89Ifu3pqaG5cuXc/ny5UaP9+rVi1//+tdBapUIJZIBLIQQQgghhBBCXP8cDgebN2+moKCAtLQ0Jk6cGOwmBVRcXExGRgbnzp3DarUSHx/P8OHDcTgcFBcX+x9/4IEHeuw2tJfD4WDlypXcf//9AHzyyScsW7YsKFnAbrfbH1jvMVnAmuYN7Dbl8aChg+YN7riKCqnI2Y9iNhM5NoWwAYNQzGYUuG6maS0vL2fjxo2Ul5f7H/NleJ4/f96fyZmZmUl6enqja+/R0dHdOjV0T8kALiwsZOTIkbz44osArFixgmPHjl13WcAbN25kxYoV/izfSZMmMXnyZP9PIL6YS6i/H74Ar9vtpvTSBdxuNy6Xq9HxStM0jEYjDoeDg18epKamBrPZ3Kisp6IoqKpKbW0tUVFR3DH+DqKjo/2ZwL7naJpGeHg4RpOZXr37+jOKRXD0yHf/7NmzlJWV3XDB32nTpnHq1Cn279/fYn3fQF566SXS0tJ48MEHmTZtWhe2srmGd3A0nQq6p2T/fvrpp82CvwCXL18mMzOTtLS0ILRKCCjbvoCpj39E/5W72L5gZLCb0yHH1kzllhc+Z/6HOmsfDlIjyrazYOrjfNR/Jbu2LyCo7+BHC1AeWceU175h16IQ6cureP8+WqDwyLr5fKivpb3d7jy0npX/eZTIqQtZPD3hWlocWPFWVr6+F+5eyLKHumD9nah460q8TV1GD29quxRvW83ruyoZ9aNlzB1rC3Zzuk+AfS7wfp7N20u3kJ80g1VPpQavvVcp0P56vfT59bIdPc31dowTQghxfVq7di1xcXGkp6c3etzhcGC1WomNjWXBggVkZGSQmZmJ1WolNbVnncsVFxf7p0NuKUjtC2RnZmZSXFzcbHtDyY4dO7Barf7tzMrKYseOHUHZJrPZTG1trT8Bpkdk0ta3wV1ZCTXV1FVX4i69hOfyJRRVA4MRJcxC1eGvqPn0YxR7NDrQu18Citkc3LZ3Il8gsyUNp/H1/b5x48ZGz1myZEmjQPGNYPny5URHR/P8888D3umyly9fzr//+78HuWWdZ8mSJfz+979nzJgxZGRkMHny5Hb18ZNPPsmKFSvYvXt3UKcLv1a+41RVZTlGo5GKiopGgV3f1M1Op5ODXx7E5XJhtVr9x7mGz1MUhfDwcKqrqzn45UEmTp5EmMWCpmn+bGKDouB0OomJtlBVUU5MXK9u32ZxRY8KAKuqyvnz5ykrK6NXr170798/2E3qNr/4xS84deoUx44dIyYmpsPLJycnk5GR4Z+vP1gCzRcfTDU1NXz66act/v3TTz/lvvvuIzw8vJNf+Qt+O389ucDAR1bwy2m9W39er3t56dczubEqXQshrle5619kQ34Sc1bMZViwG3ODK922mlW7YOrSxUyPC3ZrRJco3cZqbyez+Ibr5FzWv7iB/KQ5rJg7OtiNaaf6GwOAPu3ss8qs37M88zSQxIxVT9GzLkGHgqb7SSUnsjLJzMrjnMPlfYo1lsSUR5j70AgiGy1bzNaVr7PXEXjNSTNW0ez+jovZbNq0jdxzVXgAkz2R8elzeWjElTVnv72ULfltNDt+GksX3UPc1bZDCCFEMw6Hg4KCAgoKCnjggQcaZZBu3ryZc+fOMWfOHIYPH+4PLm7ZsoXY2FiGDx8erGY34nQ6G9XCTUgIfNdVw0B2Tk4OsbGxPPDAA93Z1E7hcDjIycnh/vvvx2bz3rg3ceJEPvnkk2Z92F1MJhO1tbX+KVN9ujsYrKsqitEIioK79BKOrM+o+utBPJcuotS6qK2oQK2txWCxYA4PR6+uxqDpeMIs3uxlGgSwdT3ks4AzMzMBOHDgAGPGjGn1uZMnT242RbovgLxx40aee+65LmtnT1JYWMh7773Hiy++6A+IPvfcc6xYsYKXXnoppLNeG/JN8XzgwIEOLTd48GAGDRoU8gFggLraWqqrKqmrq2sU/EVR0FSVsLAwjh07RnV1tT/4e+UpV+qKgzdb2GKxUFFRwYn8b7ltzG2NsoB9R8WKykosZgsR9kjMFku3bKdoLvgRunqqqnLq1ClcLhcDBgy4qiBoqNq4cSMbN25k8+bNHdrurVu38vXXXzd6LDk5mcOHD3d2E69KTwgAZ2ZmtlrzxOl0kpmZycyZM7usDWc+/AOf3rmM+7r05rEaDm3+LR/si2Lamv/DXV35UqLTxExby6GytcFuRuiKmcbaQ2XIO3iVuur9c+4n66gH+/h7GA0wdi6/GtvZLyLap4hd2SUw7BGmdkFcMGH6YlZN7/z1hiJbEPfzol3ZlDCMR7qik5sI3OdOcre+zbacSKb+am63Bied+7M46rEz/p6OBX97yr5bkr2LoumPMqjVZxWx47PTnfBqxexfn8EOxzCeWvQQPTNBt2va2Hg/uci21b9hl3MYUx99lvmj+2LDycXsD1m35R2Wn0xj6aKJNBtNsXezcFk72lS8ldWv74WUOfz82dHEmSvJy1jHO++spmTGYp5K9QaBU59a1eJYce5fxysfniQxdcLVt0MIIURAe/bsafT7Qw895P//zJkzWb9+PW+99RYzZswgNTWVtLQ0iouL2bJlC8uWLQtGk5vZsWMHLpeLn/70py0GfxtKT0+ntLSUTz75hNTU1KAETK9F0+xf8AaAg5kF7AsAB8oA7pas4PpgrWI0ojmdVH51EMfez3Hm5+I8U0Rvk4lws5FzZhvWocOpKyyAi+exKAY8ikL4iFux35qM6qzBXVaGKSICY3RMo3WHorKyMoA2g78t8QU7feu5ETTN/gV4/vnnr7ss4PLy8haneW7LSy+91GhK8VDjOyZVVJT5ZzBo9HdVxWw2U1lRwYXzFzCbzY1qAje80cU3vbMv09dkMnG2+Cw33XwTljBvFnDD45+qqpgjTJSXl9G7T9+eM2vCDSZAgYDudyMHfwHeeOMNJk2a1OjEsz2WLFnC8uXLG/34gr/deYeOb8rnhtm/lh5wV8fly5fZuXNno8cGDhzIwIEDGz22c+fOgFNEdwZTr15EUcAHf/iCrv2ouEze4QIuOD1d+ipCCNGW0l1ZnKQPqVNbD2mIbpD7GTlVJkZNnIBMcnu9yuWznCpMoyYyIWid7ODE0dOUuLr7HKSUXVknoU8qoXi4scbGYqrK4bPcNp6Y+xk5VVas1mt9xWJyj56jynWt6+lKXdHGpvuJh8hhafz8l/OZPrpv/bHRRt/UWTw7tQ+c28b2tvqkldfatmkvJX2m8uP00cSZASIZkT6ftEQX+R9+QNurrm8vw0hNkSO3EEJ0tpycHEaNGsWoUaPIyclp9LfY2FgWLVpESkoKW7Zs4cSJE9hsNtLS0nA4HGRnZwep1Y3l5uaSkpLSoYxkX9JDwwB4T+d0OsnNzSUnJ4eJEyf6s38BbDYbEydOJCcnh9zc3FYTP7qC0WhsnEEXBLqqUnfhPJc/3ca5Tf9B5c7t1J0pQjEYqTSacMT2IXL8ROy33Y45YQC1ljDcJhOKLQL72BRsw26m5uS3lGzdwuWd26kruRjU7RHdq7y8nMzMTN577z2ee+65ZtNjP/fcc7z33nv+ermhbtCgQVcd2H/yySdDOiNcURQ8bjced12zur+KoqDWB23LKyqoq6vz1zRvGgQO9JjBYMDlclFeUe4PCjddf21tHR5PHR6PW4K/QRL0FE2Xy8XZs2dxu90MGTKEiIiIYDepW+3evZvDhw+zefPmDi+bl5fXBS26Nr4gsNFoDHJLCPie/vKXvwRg0aJFjU4QMzMzmTdvXqe3wdP/PtL7Z/KH3AzWHxzLz8Z19lTTQgjRk3RtxqnoCCf7s47isY+ng8mRIoRcbQbsdaFoF97DzdTmWZIhwBUbz6hKB0ez9uMc3dJNGlfGcUrCAQ60NWWwaK7ZfpLAxEcDZ0vFJQ8jdtcBik4Uw+iryLGtf63EtKb7ZCQpYxPJPH2U/dkwurU0+eIsDpcQ5Js6hBDi+pSdnY3L5fJnkh49epTs7Oxm9X2bZv0OHz6coUOH+jNog8nhcFBWVsbo0R0794uNjSU+Pp7i4uIuatnVczqdHD16FIfDQXFxMU6nk5MnT/r/3jT718eXBbxhwwb/Y8OGDcNms5GQkEBsbCyjRo1qFDjuLIqiYDQa8Xg8wcloUxRcpwu58Kc/4vzrl9RpGtabb8FTVYHn3FmUqBgipjyAVlVJ1e5PUCvLsWgaqsWC9fZxRH9nHDpQe6YQx84/Y7RY0N0een3vh5jskW2+vAgdvkBvYWEhhw8fpry8nN27d/v/3jT718eXBdxaTeXBgwdz7NixLml3Z5s8ebJ/ivBAysvLWbJkCbt372530HvMmDE8//zzzJ49u7Oa2WVqnDUYFAVVVRsl8AHe6eAVxV/bvOGMroECuk2nvdc0jVpXLSiNkwR9y9XW1mG2eDOPTabrp+Z4KAlqANjlcnHq1CkAhgwZgvXab20POb6Dbkezf3uChgO+qWDfCZeXl9fqVNgDBw7k+PHj/v/v27ePO++8kxEjRnRyS2yMm5vOvpfXk/vHP3Jo3NO0f4ZIN+c/f5d//3MuZy7XB6ttvRg67hHmPTEOX4Xs05v/keU7fRnMuayfP5/1AKPnsu5nrU8Gff7gH3n3w4MUNFj/6Ef+gZ9NaVizuJy/fbCejN25XHB6t6nf6Mmkz32UWwNMa13+tw9Yn7GbvAtOPAAmG/0m/4x/njkMf83jgG0L9LcGj82NYvObf2BngZN+9/6Kf57Z3/eCfLA+g925F/A2rx+jJ6cz99Fb6dJZtzvDRwtQHlnHlNe+Ydci70nVsTVTueUFeO2bXSxqcp4V8G/165j/oc7K/mtYsOAVNh8ey2sFu1g05CMWKI+wbv6HOBe5eGXZGt7fdYDC8mgGj5/GojVrWTSh4YwLp9i1ZiVrPtrPoUOHKSwH+o3gwYdXsnbtwwzp+Ab6X19f+3A7/tbR9tY/f8prfLNrEf6369R2Vi5bybu7Pifvgncbpjz8Cu+vfdw/btp6Tof7IaBrez9P7VrDyjUfsf/QIQ57F2bEgw+zcu1aHg6wsOvY+7yybC0f7W9luxtp4f2rX9eiRSvZvt/b7n4jHuThV9YwtY02+zNOH20QzMh+m6Vb8om9eyHLHkpo9FjSjOWkebawaUcu56o8gAl74njS5z7EiGbfOyvJ27qeD3NO4y3ZWP/cB1rOOnRf3M+WTTsa1GGMZ/T0WcxK7etrMJte3sBhTxIzXnqK1AbXBko/W8Oq7edITHuJ5yYG+hJcX4+Ru1n48wkUbdrAtvwSXN4XIn70dGbNSqVvgCWhkrxtGWTuz6fEBWClz6g05sxt/PzirSt5fS/cvfDnTCjaxIZt+fVZlibs8aOZPmsWqYFfAEp3kXUS+kyd2nh62YuH+CBjO4dPO/Am2VmJTZrOT5/yTTVaSu7WTHYcPUmJw+U9jrfaPkej2pNX2vwsIw63vY1QSVHWB2TsyPdnkJqsfRj/1GIeGtR0nT8mYdcmtuWeo8oDWPswKm0Oc1P7cjF7E5u2XdmPYkc9wo+bvVYL733SBNLSp1/bPhdoP29BZV4G697JocSezJxFsxgdCc7iLLZ9sJ/ckhJ/9mOguqGN+TIbpzbPgK3MY1tGJvvzS7z9bO1D0oQ00qc3rW/qfe7W9R+S49snTHYSx6cTaDOb9rnv/175bFm6lC0ASTNY5S9I6ubi/i1s2tWk3mryNNIfHdukj+rr4ybNYFV6JFvXb2LvaRd97v45ix9q/Mzcz3KoMo3i0Qk2oIgP/uUNDrhGMWfFXJpdEi3eysrX9+JM+Sm/Sh8ecN+tfzPa2D9K+WzNKrafC1CLN3cTL244TOT4hSxrFGD0btPJ5DmsmNWgZabR3JNSxNEDO9hWNIFHA2UxF21jh28cFx8gcMWqtvfpRvVmHXt5felegAb7a/vHvfcl27/PtHfdbbbRWUzWtg/Yn1tCyZVBQuL49AB1e69ovJ90rYuHTlJFH5KTmr+WLWkQfThNSVExpLZ8jCjafxgHN+hNHUII0cWys7OJiYnxZ87GxMSQk5PTLKjry/p96623/AHiSZMmsWHDBoqLi9s17XJXOXHiBIC/DcXFxRw9erTVZe6//37/Mk2znnuCdevWce7cOQDi4+OxWq3+er/x8fEkJCQEDOLabDaWLVtGcXEx586dw+l0cuLECUpLS8nNzfWvb9GiRV3W9qbZcN1Fq6yg4ssvqNv9CYqq0vfxediG3sz5//wP3OERhCWNRHc6qfjbEUwlF/CoKnaTEXdUNDEPfB/FYqHm+DeEJ91C9N1TKPvz/1D28X9htEcSO+kejJFR3bYtnaFh8O5qll2+fDlHjhzpgpYF33e/+13/to0ZM4bo6GhefPFFYmJiGDNmDMnJyY2yf32io6M5cOAAGzdubHHdoVQfePLkybz33nscOXIk4BThd9xxB0VFRcyePbvdAd2NGzfy9NNPEx0dTVpaWmc3uVO562ox1gd6G07n7Avg6rqO0WhsdBzTdT1gfMe3jKIo6FxZV8O/N2QwKJiMRupqXURE2Lti80QbghYAluCv1+7du5k0aVKwm9GpesJ87q3d1dOSjz/+uAsCwED0XcxN38c/rs/mj+9OZuy89rzGJT7/zXI25UeR+pOf8/NxiYTj5tKhD3jz3T/wct5JXvrnmSQCiTN/zbqZp9n8j8vZeXk0c9f9rF01gE9v/ieW76wgKf3nvHZfIuHUcPrgh2yvaDh1Tjlf/PZl1udGMfmZFfxybG+49AXvrlrP714+w09+/TOuJDWXc+jfl/NmtpukB5/hV2kj6G12U3PyC949WNHRd60JJ5++uZ6dBd7/eXDXv+QX/Pbl9eRGTeaZFb/E27x3WbX+d7x85if8+mfjuGFyrsveZ8G8F9jsm2u84fSJx9Yw7fH+zHt/F6dGWnGd38Urjz/MC9PmYT30EQv8wcRjbN8ew8MrP+L9CUOwAud3LePxhx9hGtvYv3Ya3TJBf7vbG3jZqRNe4Py0/+CjU7sYaQXXsY9Y824ZZeANhLbnOZ2zIdf0fh7bvp2Yh1fy0fsTGOJdmGWPP8wj02Db/rVMa7DwobUP8/gz+xmydC0fvV+/Tad2sXbtKTo6k2bZRwuYOu99rI+vZftHj9e/P++y4PGpLDjV2pIdzzgt2fU6b0ROYP7iWSTY3JTmfsg7G/byztuRLF10T4MMqmK2rn6dvZXx3J2+lOmj4zC7S8nNfId33ikBoFklq+KtvP76XiqHpfHsKxNJsDk5sW0dG7b8htXFC1n8UAIwmrS0YeRuyeeTHcWk+gJ3zmw+/OQcxE9jVsDgb8PNzmfT8hxMKeksfGU0cWbfdmzhN8XFLFzctFajk/xNqzmckMazLz1FnNlJcdYG1mVu4Y23TSx7amyTTEAn+ZuWk2NKIX3hK4yOM+MuzeXDdzaw5TfFFC9cTKB4Y8C6sPW1KSuHpTH/lYkk2MBZfIhtu6oa7CdF5OabSZ3xLCnDvdOjegOWLbUv4JtC/qbV5A9K58dNt3GTjV/5g2BODr29mv/MjyRlzs9ZWN+vJw58yOFSaBy5riRn3Ruce+BZls3qi7kyj4x175Cz5Q3W7I/knCOBGc++QmoclO7fwOsfNn0t7zqy317NlvxIxs9ZysLRcVCazZY3tvDO6mJ+tOwpxvo37ir2ufYo3uoN/lqTmFEf/AVwHM7DMeh+5j41mkE2M7gvkvXOG2S+sw5a6OMWM2Ars3l79RbyI8czZ+lCvJu5hTe2vMPq4h817kPfPhF/N+lLp/v3r8x33sG7ma1vZcJDy1j1UP3NEI4AQVFK2b/udT48GUnyj+Yzf2wCNtyU5m5jQ8Z/8puTRQHGCICLrPVb2Ftf+tZDk8hi01rjDGJCciwH9uaTnQtNk2L8QbUJrU2V2J79I44Rw2LZfq6IkycgtcHqcg/n4gEcRXmUknClT3LzOQkMS2p+YBw0NZU+B3aR81kuj85t/vfcz3KoYhgPTHVR/PrVttlXb7Y+uB6whmwHxn2H95n2rbvNNjoOk+cYxP1zn2L0IBtm3FzMeoc3Mt9hHb5jehPN9pPWOU8W48BE8vCru7BfVFICJJEQ6MacvgnEAvmOYmixgq93SveAN3UIIYS4JsXFxRQUFDS6SD9p0iQyMzNxOBzN6uIOHz6c+Ph4srKySE1N9WfcZmdnBzWBw+Hw3njna29WVlabQd2UlBRiY2N7bO1f3/u/cOHCDmfr2mw2hg8f7g/qP/DAA4A3q/j111/3v19dIVBgpLvq/5ZlfU75wf1gsWJNGU+fhx5DddeBs5pwqw2DOYzyfXtwXziH22jAYDbj1DWibrmN6LGpVB7OoTx7Hwmzf0L/J55Cc9bg2p9F6c7tGBQDsdN+EPTruu1VXl7OiBEjKC8vZ8yYMR2+xj5jxgz27NnjX27SpEkhFdhsS2FhIYMHD+bAgQMBA72tGTx4MC+99FIXtax7+er/7t69u1kAODMzk6KiIl599dUOTfX8/PPPc8cdd/C73/2uRweAdV3HoCh48JZhbTi2/YFcXSfcFu6fxhmaZ/s2fMz/Nw2MJiPhEeHomt5onY2W86YHd+2GdrLCwkKKiopaPKb4Eg+Tk5Ov6u/dKWhpmqdOnUJVVVRV5cSJE+Tm5nbaT35+6MyP9vXXX191EfLWbNy4kQkTJnT6elvT8KAQzAzgQ4cONcruba/8/HwOHTrUBS2C6Lt+wqNDoWLfev54uu3nX9r+JpvyIfWZf+bpcYn1QUwzvcfO5JfP3EnUhZ389o8n21hLa/L4dFMlHw4AACAASURBVN8F6HUn6ff51h9O4rgnePq+xAbt+C3rc92MnruMJ8b2xgyYe9/F089MJsqZS8aHV9pQ/umbvJldQ9LcX/HzR0fQ2+xtc/iwKfyfme3Pew7o/Kd8XnMnz6z4PevWrePXMxOBS2z/7Xpy3aOZu+wJxvY2A2Z63/U0z0yOwpmbwYfX8haFmGPvruX8gs8459TR9SaZqZ+7mLD2feaN9N5oY+0/lZUrF5Bc/t+8+37DfX4aK7evZF59sBKg/9SVLJs3mLx1a3n/fDdtTLvb29z+d9/l8/IpLHhlHvWLYx35MMtWzvNnuLbnOZ3j2t7PaSu3s3JeffDXuzArl81jcN461jZceP8yFjzz3/T//7azfeXDV7ZpyFQWrZzXwcztXbyybB2npq1l+9rHG7w/83j3/WWMba2YuS/jNLVJxmkrHM5BzJnvDUSCmbjR6TySYoVzWewqarDqzzLYW2InZc4iHhodh/fwEsfoR59lRlKge9ly2bRuLyWxdzPfv34bw6fPZ/owKNmbyf76e10iU2cxPREcez8gq9L72InMbeR74pk25562p5Z1leBJns+ih3z1Hr3bMT8tEUr2krm/aT0qFyXWB1g0K7X++TYSJs7hgURw5WeR06x8lYsSTzLzFz3EaO8CmONGkz4/jURK2Ju5n+YVrwLXhT2RlUMJsaSk+d4TsCWM5dFZExuEI8aSvngWE4f39Qd8IkekM32UCVf+LvaXtvWGXNnG+f4amA228XCW/73HmUNWvguSppLeoF+HT3yKR5t9bHjwDEtn/sS+3udFjiD9kRSsuDh32sPdT80iNc77ORA3YVb9a+2nYaW20s/eZku+h6QZz/Jo/euZ41KZNXc8dlc+mduKGjy3o/tcO1Rm8/a6vZRY45k2/ylSG9xbkDD9KZ56aKw3+Atg7svEGRPoQwkHdgWuGurLbJzYKLOxlM/e3kK+J4kZzz5av8+YiUudxdzxdlz5mVzZzFI+y9hLiT2FOU32r0efncHVbmZDpZ9t4MOTkDxnMbPGJtTvU2biRj/Eojkp2Ev28vYHRc0XLMlivyuFOUuXs2rVqmZZ1YFqjSdMTKYPHvKzm75fRWTnVrVZK7i9+0fC2CTsuDiZ23AKxRPk5nm8F1bP5XK0waAszivCQyIjAkUg46YycRh4jjYYFz71wUtrcstTAXdkn25de8f91ewznXFMARKm89RTDzF2kI36V6XvxBlM6AMlB3YFrK3bsZr0xWzLOg32FCYG6ivHXl5fupSlS5ey9OWVrNm0n4vuRq9GZSVgsrV+k0xlJS1tsndKd+gzenzLnz1ttkMIIUQgWVlZgDcY6uP7fceOHQGXSU1N9WeWAgwdOjToUygPGzYMuJIJnJ6ezqpVq1r98QV+T5w4wdChQ4PW9pbMmTMHp9PJunXrOq2W78mTJ7FarcyZM6dT1hdI0+uerc2S2Jk0j5uSrVuoPXuasHF30W/GE5iiY1ArKzGZzYTXVOI8kkPdpQugKBiBMAWMw5KIvX86islE1TdfU3XkK2rPn8PSuw99H3sC251TqC0+S8nWLeie0Dm52Lp1K+Xl5WRkZHDgwAH+8pe/tHvZzMxM9uzZw1tvvcVf/vIX/8+TTz7ZhS3uXv+PvXuPj6o+F/3/WXNJZiBXNECihBAqIGlJ3EmbKBdjFcTzaxDkgByLinUraKWFFoEj9Gw8G/jhpQcsXojWCrR1IxRR0h4QQaNETZRYgo1AkJAESJBLEiAwQ+ayzh+TNUwyM8lM7gnP+/VKKzPr8l0za61Zaz3f5/lu3ryZ2tpaJkyYwPnzzT3Q6d0GDx7MqFGjfGaJa4E6f8Hf9PR0Xn75Za/XIyMjefDBB7v92Op2hx0UBbu9cadqLVCrNJSGjoyKJCwsDIfT4ZXR6zkGsOfrDqeDiPAIIiIisNvt7nLSTqez0XrsTgfodI1e787Wrl3LiBEjmDBhAo899pjX+08//TQZGRlkZGTw9NNPe70/ffp09/vNZdF3li6L0oWHu5566fV6YmJi2vWvf39/9RC7n9YOQN4SrbZ/V+nKAHBrxlPWbN68uR1b4imSO/99Cjdyjk9f+yvNx4BL+WDPCRgwjim+4qbDf8atA+DCV5/S5lGgL1/A/89/QzsibuNntzXJo01MI8kMFw5/hSsMdZyde45BxG1Mua0DCi+fM5Dyq1kNQV6teR/gat7P8G5eEmYucPirzopYdr1PTDNYvyqTgb6KKaRPZkbT/iAZGWQABYeaTekEXFUaoBZrx5yuvLWxvVDLqRbbGsg0HaNNn2dCAglArcfM761fR0Hk/cyZ08aOFkDtpnWsPzyYWbNmeGcnj5jBjHv9z6tlnI4JYvDf6KQxNM3HG5oYD9Rx5rR7yeTmVUFMGnd5Je+ZSctI8ipnYsnPo8gKiZnjm+RZmUlOGgSUUuw+gYYz5oGJxHKcD3OKoXI72wrriBk9nTsC2pRBjLnHO5srfEwGw4DSIu+wRGLGmCblSs0kxkcDdZz20Ul90Jh7vPPFwseQ4VqBV+BDGxc21WcqtoW6i/63xp/o6HDAysUAU8r9b2MNlU230WIlkCYlJjfZnqGJrs4G0cOaVFTV1nWGq8/oGvajsFTGpzUJz8QnM9wEdaX7Oe05bRD7XMsq2Z69hRJrDKNnz+OOQBIM+8UQDdh9PQjTMhtTm2Q2VuTi2szxeG/mcEzUUbr/dKNpY9Lu8joOMaeRkdTWCLD2OWYw0deuOPQu0mKgriifo03fqzGQ9Ivp7gCj13L3nYHEMY3HGu+XTlIM2Ev2NT4mKvZRXNdCUC2Y/aPh3zWlh68G8iqLKbVGM/KukURznMPuBlRzuKIGYpMY6TMqaCbjnnTCKCUvt3FYsPLDXEqJIcPnhxdkm1vJ67hvx30m2HOKb/2IcR0kPjrC+NlP/Kjc/jYFNSaG3TO+SSemOO75rceD9GW/5fHxMVws2sbvl29gv3vFDdsSHtZ83rz1op/KHBYK95WC39/RQNshhBCiKYvFQnFxMampqY0yTM1mM6mpqRQXF/sMPCYmJmIymdxZpHFxce5SxV1Fy3RtTTuqqqro1y/we7XOMnToUGbPnk1NTU2rgsDamMG7d++msLCQyspKkpKSmDdvnvvz6ghd9dxTAZzlR3FesRB60wjMPxjuyshz2FEioql3OKDmHKrDjkMHqtOJXdETnT6asB/dwuXvDmM5chi9uS84bK7Mvx8MJ/SmETjrr+CoKKVn5P66aOO1tiYDU3tu3psCvk2NGzeOXbt2UV5eHnQQOCcnhxUrVvj96w6BrWC0NA6wPwcOHOiw+E2nUMHpcKCqjTNztWxfLWAbGhrKkMQhOOyOxrP7GNdXCwQ7nU6GJA7BaDQ2Glu46fnR6XDidNh7TADYcz9prtNA0/8OdP7O1mUloG+44QbAFQC12Wzuf19rIiMjAx5cPBgHDhwIurRDe3I6nV1yMbRnzx6qqwNNJfB27tw5Pv/8c267LZAiykG6fiKzfvo5yz/6lDfeGcf/vn+Q7+nOllB6AQzDErne5wTXkzjIAPuOc+wsDPc9UQuGc+etA/jio32sfcbCT6dMIcudadykHWlJJHrNP4hBA+GLY99zHBh4uYRj5/xN2w6uS+LHTbbzbEkpFzCQluRjjYMGMZAvOPb9cdqzoG93dvvETP+Znikj/I89XVbGIfDIfLVyKHcTO9/LZ3/ZIfaXlVFW5DpHHWo8YccJqr2NZcyYxe3r5vPc5ExOLZ7H4jlXM2KDmab9tO3ztB7KZdPO98jfX8ah/WWUlRVR3mjmfPLzz0NmJpntUJ97f34+50lhhM8vYCAD/R5OWsbpfX4z1XyJifcfBaupbCiTWX2UijowDI33HbyJDvMa+7G0tAKIZZivcRhj+2PiODUVpyGlocNYvzuYnl7ASwU7eLHyDGei0/l1C+O4Xl1/HIk+tzmOmGhXuc/GBT+jifW76Bq8q4NGE+d7BcS5VkBlo3n8jws7dEwqMYWfUfSnVVhGT+Se8SnuTODGLFQWF7Kv6ChVp6s4XXORuobxec80V7002G00J5Mx7EOOl+Tw4osVjJ8ykfShDdm2PpYZ469/X0x8y03S9qPk4T4y1OOIi4HC42eoBPq3Yp9rlr2C7S9u4bMzMaT+Yrbvcs6ArfooxQVFFJ2u5ExFDRfrGkpzn2m6D13NbMxs8iVXH62gDgPJw31kPMbFEUMhx89UAv3d0w6N9/0gMDosqK301tLnSD/i4wxQVElFNQz1nCh6GMn+nk/6Gmu8YXmZGYPIzWlcBvpoflFDGeVmHngGs38wlKThBgqLSijFVSWguqiEGlMiSWlJWHM+o1irD235luIqiB493H/wOT6TtJgCcvflUnHPfQ3rL+bDghpInOI/eBlUmwPR8nHf+n2mreeUBrZqjhYXUFR0msozFdRcrGsYM/tMk/Mgzewn3i7ue5Psz85gGjaN6Wne22D0PCmZ+zN0zKPMM2Wzasu35OyoIMVzAGeL1Ucw2kNYP98B4upc8o/jVbmh1e0QQgjhVlxcjNVqbZT9q0lNTaWwsJDi4mKvsYDj4uJ49tln3f9u+n5XGTJkCHl5eV4B7ebk5eX5/Qy6g7i4OGbPnk12djbZ2dnMnj27xW2zWCzs3r3bnd3tKTo6mmnTpnVoALirAhkqoB9yE/rzNdR/dxjL0RLMQ4cR0n8gfW/5MaerTqBWn0OnKOhUFbvTiWFQApE/uQ3VbuPM9q3Uf3+K6+7+/wiNG4SiKFiOlnDlu0PoTWb0/QegQo8JAmvlVXNycoIOArdl3p5k1KhR7Nq1iwkTJjBhwgR27doVUMxgwYIFVFT4rygUHx/fo4Ln48aN4+WXX+bTTz/tkGqs3ZV2LCuK/ziNoijU19czOGEw586eo6ysjD59XFECz6xfzyDw5cuXGTp0KIMGDaLeVu+3bLz7ddX9P91eVlaWO7Pb176SnJzsft9XieesrCx3ELg77GtdFgAGVxBYr9dz7tw597+vNaNGjeKbb75p9+X6G9S8I/mqDd+ZLl++HHBPnuZ6FG7evJmUlBT3ia49Dbr/MX5avJyPPlrPzjt/x0RfwVvLeSxAZMR1fpdzXUQkYOF8G3r7D7r/dzw78A3+sLmIj/5YzEd/vI6kux/g4ft+SKRHO+z7XmP2Pv/LsQGcO8uFFtrcJgMH0TRcbjlvAezse202/pvXc8rWtNWIhHaIzO5fx+QZT5BrvZ2Jc2YwefIcVo1I4NSmydwy/5O2L78zpMxjZ/5A5s1ZzKb5U9gwfwC3P7yMVWvmkBEVxDTtoU2f537WTZ7BE7lWbp84hxmTJzNn1QgSTm1i8i3zuTr3KWqLgIyB7dLVodZaDkxsJtDrm5Zxmh7o4L/BaMiWCg8LfMwqi8UOVLHzuUXs9DONucmYonH3TSG56E8UnTEw8n/cF3A8ojMupYJag79xYQHiJvHr3/bn7T/l8O1n/0XJZ/9F9LBMpky/h+FazKPyY9Zk76TKHs2g1GTSxt/BsNgY6vJe4pXP2nsMrXDSHl1A+PYNbP6siJzXi8gxxZCc9RAPpLVzNZeG/chetJFFzRRIsXtMG8w+16zSAj4DDIljuGe4rwDZRYrfXsPGojrCYkeSnDaGMffE0z+8lM3LtuA9sImW2egdHLRetAJ2ijYuwv9m2j2mDae9NtNLAJ+jK2DoIws0Js7PMdj8WOPm1DQSc7a5ykAnJQFHKSy2QmIyyc09Qwxm/wCShiVCUSklxZCWVE3R4TOYkqYwlKFYhxsoLC2mkqHEHT7MccJIT2nujNKPzDGJ5G4r5MN99/BomrnhnGpg5JhmgpdBtrlZAR73rdpn2umccrH4bdZsLKIuLJaRyWmMGXMP8f3DKd28jC1eB0ngY9LbKt4le0sJ1pjR/PrRtIA7d4Sn3UVyzusUlu7nNPH0bwi6U3KRZrfKbPL5nbqqaAT/O+rdDiGEEE3l5eVhMpk4duwYx44d83rfZDK5x/ptTlxcXJeO/6sZP348r7/+Ojk5OUyfPr3F6SsrK/nwww8ZOXJkhwZE2yqYILBWMtpfJnRNTQ2vv/4606ZN67DAva+xMTuDzhjCgBkPc2bndi5/kcv3TgexDz5K6A3xRI+7g0ulR7icv9eV0QfoIyKJGnsHpqHDsJQc5NKBf2LsP4DI28ahDwvHeqKC7//2Nlf2fUHI4B9w/Z0T0Rl8d8ntjrKyshg1ahTTp09n1KhRTJo0iSVLlgQ879ixY5k+fTpZWVnuQM7YsWO7RdCmPbUmCHz4cJvrTnYrWpD/WgsAoyjo9PpG4/eC77L1ToeTlJQUdHodFWUVoIDBYHDP43Q6cTgcqKrKTcNu4oc//KFrXOEmXUaarkdRFAwGAz2la8ncuXOZNGkS5eXlPveVF154gZkzZwK+A8CbN2/uVmMAd2kAGGDgwIGYTCZOnjyJ1WolISEBvV7f1c3qNMnJyT7ryLdVeXl5l/Ve0koHdHYG8J49e1osFaON8XvixAm/01gsFvbs2dNBn98g7n9sHEXLP2XbH/dw62IfF7NG14F5wXLZ71LOXTgPDOL6NsVbjQy8/UlW3m7j1FfvsnnbRxR/sJb/OPcEax5LcbfjunFLWflzP9nKQbS5vRldrWPc0pW01DwRiDLWLX6C96MW8UXuKjI8MmJ7WqET04gZrMudwZpD77Fu1RpWbXiCW/MP8fGhNWQGMU3btO3zLFu3mCfej2LRF7msanZmE0QCtVZqwbtsc6sEW4/Tf8ZpuwooiuHiurhJZNpzswn0dr/64x0UWU2YTFa+zf2Y6pQAxv9tlgWrBQjvuIsti48VaOPC3ucnhczYP4OHF2dgO72fHTk7+awklz+9WMNDzz5AEtXseHsnVYZkfrH0AYZ73Pe3qUprs8IZPukpfjfpIkfzctj2YRFFW37P6YuLmBdYDe7AGFwfU3T6r1l8X4Dh/SD2uWYNm8avY3J56bNtrHk7nHkPJDUOMhW/y9tFdQzKWspTYzzf8TOQfTOZjQbXVpL+68V09mZ6afjML1r9X5vV1F0EYukXaEBRG2s8089Y4+ZkkhO3UVqyj2KSSCouoMjaQiDVo60B7x9Jwxm0pYTDxUchsYriKgPDx7seqCYNi4eiUg5Xg6WkAkxJJLdwbjRnjCF5x0aKcnOpTkunIK8UWgpetmaf9in44z7wfaa9zinFvPt2EXWDslj6VOPy8j6Pkpb2E03ldl56pYAzMaP59YJJQXT8ATBjMgP2q59HdLgJuMjFavD6ATldSQ0QE+OrRcXkFdZB9Ggygv4d9W6HEEKIq44ePeoOEvob6xdc5ZErKyuJi2vLb2rnGDp0qDtzGVxBDX+B0qNHj7Jx40asVmu3yWBujmcQOC8vj/Hjx/ucbsOGDV7B35EjR1JZWdmoVOuWLVuIjo7ukMC3rwzgzgoCR6SPxm65zNmKY1z4ZDcKCjHTHqDP0GH0u3UsloP/wl59FofBiOmmEUTfNhZ7TTWXj5Zw3cRJhN+SRuiAOCxHDnN6+xYsez9Cp9MR+ZMMosbcDp20He1l165drF27lj//+c8sX7484AAwuPaRtWvXkpOT404qWrJkSa8MEHoGgdeuXcvSpUu7ukmdbuzYseTk5Pjd9gMHDvhMLtu7dy8rVqxw/zsyMtLvmMHdjcFgQFVVr3ibTqfD4XC44zdaQFjRKdzyb7cwoP8AysvLOV973jWOcMOyrr/+ehKGJDAwdqDrPKh6n/u08tKAO/jrdDobgsA9w+DBgxk8eLDf91sK7HaHwK+m6wZq9RAVFcUNN9yA1WqlrKwMh8PR8ky9hBZk3L59e7stU1vW2LFj222ZvjR3YdPZpVDOnTvHnj17Wpzutdde47XXXmtxuj179rgz09vdoJ/z8K0RcOxd/vi5j4eiA4czyACW0mLO+lzAWU6dskPEIIa4k5TNRAZRdrUxIwN/fD+/WrmUcdeBZd+nfOXRjnPHS2gxrNtimzV9MBuA8xe8pzvb3HjEvlY5CAPnOF7SeUHnzhBligLKKPMxfPGpskDGv22t/ez/AEjJaBSsBKht9WC5UZgGA6dO4bU5vl5rZ6YRk5m3Pped///tcHg9m3ykgvqbpu3fQ9s+z/2umcnwnrlJDDiFlEwgP5/8AFrVkpQRtwP7yfe5sP0c2u/jZS3jdIyPjNP2EBdPDFBTWeq7rGZllVe2VXxiLFBJqdfAon5Uf8zGnVWYkqezIGsYhqqdvJ0X4EC5Na4Sq97LLKHCCqb4pDZmZNW4SqR6r4AS1wpI0lbgb1xYH4z9U5j06GJ+nR4N1iLy9wOUUnkGiBvWKFADWrC5I4UzdMwDLFgwjUQDVBXmtWnsUi/9hxJnaGY/8tSKfa7FRU6azbRhJuqKNpK9vfEXWnm0CjvRxCc2yT30WUpWy2xM9Rkc7D80DgM1VJa2/H3FxcdAM9NWVgW6lSbCfZXRb/jMrRUl+B6co5rTp+0QFkd8gNcwLY81biYjdRjYXWWgi4uKsZuSGdPSARHM/gFgHklSLFhLi6ksPsxxEhmmrSNxGLFUUVJaSXGpFcPwJO/xcr0kMTEjBs7sIzfPdU4ddEfTsWjb2GbMrmswL4Ef98HvM8GeU/y0sfIoVXaIjk9skqHb0NGmiYDGpK/8mDXZn3EmJpVfzA42+AtQ4xpP3RSOtvu7xrCvotRXVLriDGcIIzHFxy9C8T6K7RCTPKZd2iGEEOKqwsJCTCYTy5YtuzqOepO/ZcuWubOAe4rp06e7g8AvvfQSeXl5lDb8ANXU1FBcXMzmzZt5/fXXMZlMmEwmNm/eTGWlzxuLbiUuLg6r1X9XsX379vnM5H744Yd9Brm3bNnSru3TeGa4dVbgV6OEhBCVMZaoyfdjjL2B2k92cerPb3Lhn19Rf/kyxlATZp2Co9/1hI/OxDQoAXttDapOR/Rdd2NKSOR8Xi5VG16n5uNdqBERmG4fT2T6aHThEZ26Le0hMjKSpUuXtqocsTZvQUFB0ONP90SjRo0Kahzg3mbSpEkcOHDA77isn376KcuXL2/019zrPYYKCkqjZD2n04ler28UqNVed9gdJAxJ4PbM27lz/J1k3pHJHT+9g7vG38W428cRHx+Pw+7A6fCO/+h0ukZxIXcmcA/J/u2NukUAGFxB4EGDBmGz2SgrK8NmuzZKt44b5zpoFi5c2C4DitfW1rJw4ULi4+O7pDSNdlDb7Z3bBz0nJyegH+rf/OY3AfVwslgsrRoYPlDDZ/07t0bYKdn8Oee9snhTmDjuOvj+U7b5CrYc/jt7TsCNd97tMd7u9US0ecjn6xgYARjMDeMvpvDjFDMc20PO8ZbmTeHO2yL8t9ltGImDgBMlXiUtz376Of7zsn2t8se4mpdDi83rQQamjCCZcvbvP9TknZ289177jxfupel9Vu17rN/UTG3JZqWQkQHk7vcKTpa99x7vt3KpwUpIGAhEYWrmyWjTadrte2jT5+k1M++t39SkrOtAZsy4n8jy9axb1/YOAgmTZ3A3RWxa/553snHuetYXeM+jZZyOCWbw36CkkDHSAMfz+NDreUU1H+d5P2nvl5xMLFaKcvcFEBip5uONO6kyDCNrShLhaVO4KxaO52wgsBhwCfk+Jjy6ex9niCZ1TNt7m5fk5+G1hqO72XcGolPHuINL2riwaUGkYkf3DwMMmD2DM01/wi37yC3quBzgRsKjiTYAhvB2zpxOIjnJ5Gc/air4fa5l4aQ9OpvRMXDms5d4cbt3I5p+7JUf5nn/vmmZjWl+MhuTknFt5oe+OyZ4SsnAtZk+pq3+mMA3sx/hPuvmJpGZHg1n8tlZ7OPto7vJq4LYMS1kabppY437HyMVgLQMRhrslBS9S1GxnbDkjIACsIHvHwD9SE6OhZoKcgpLYFjy1WoD/YaTGA0VRTuoqIHEYYGV9O2XOYZE6ijIKaDOMJI7xrRUjDjYNkfT7LDOgRz3rd1nAj6nBNnGyg/J8zpIAthPLu7jzeydVDGMabOn47Myewsu7suj2A6JGRlXOz+lZZBs8nXOvkhefgnEjvFRKaOhU0dLAetg2iGEEAJwPdcpLCwkKSmp2fFkzWYzSUlJFBYW9qgA0PTp03nooYcwmUzk5OSQnZ3NokWLWLVqFRs3bqS4uJi77rqLefPmMXv2bACys7O7fRBYa190tO8SMcXFvi4s/aupqWn3bVZVtWuTl1QVfUQE/cb/NwY+PJvQYSOpy9/LqTWrOLttE9Sewazo6DMiiX6jx+G01UNICMbo66j9/BOOv7SKipdfoK4wH1NCIv0f+HdiZz5K6I2DoQuH9hMd78CBAwDNZjZq0tPTMZvNfv9GjGiHoeg62VNPPeUu+/3444/7fN9isTT6A1dWuOdrp051dEpL+zKGhuJQnY3KPmsVXMF1TtOquYaGhqIoClVVVRw+dJij3x2l7FgZx0qP8d2R7zh86DCnqqpQFIXQ0FB3wFdbttPp9OoU43A4CAkJ7bwNFo10mwAwQEREBAkJCdhsNo4ePdpsj6/e5I033qC8vLxdSkGvWLGC8vJyXnjhhXZoWWAURWl0YCuK0qkB4OPHj/PFF18ENO3w4cO57rrA6iZ/8cUXHZcFzHBm/TwNs+UEJ3ysYtD9T/DTARb2vfa/eOOr4w0ZuDbO7n+H/3ztC2xJD/OrJgMID7txAHCYLz4JpCfXV6xf9Ve+Kr3cMEqujbP7N/PJMRgwbiIpDVOlTJ9OkvkcH/3+97x7+Kx72sunDrPn1T/wrsdDt8Sf/6qhzU/zh0882nx4D3/461cNU/Xh1juTMFPM5t/v4fjlhmk+f4PnPr3QfHlGLylMn56E+dxH/P7373L4bEOnEdtlTh3ew6t/eLdnBoYzZjHr9kg+WTaHxbmnXCFAaz7rJi9mp6nlC7TWy2Ty7OGwYRXz3nOt13oqlzWzlpEb0Hpr2TknhaioFObs1EKHUUycNZvh57NZPGM9h1wbw6n35jFjL6mJkgAAIABJREFUXRnDO2Ardi6ewar39lPb8PNhPZXLqnU7ibx9HrMyA5+m7d9DMJ/nIdZNHIgycCLrGuLNmZNnM5wNrJr3HqdcM5O7ZhbLck00nTtqxjrWz04g94mJTF6T65oesB56j1WL13PIzzp8SpjDqtW3U5s9hxmrtGVZOZW7iomz9jPw9ibTB5Fx2hZJ901hmKmGz7KzyatseChjqSQv+yVy7THeWU/97mD66BjsJVt45e39aLNguUjF/nd5efPVnirVH29kZxUMumc6aWaAftwxPZ1ojrPj7X0ND/Er2fHiIhYtepEdTZ8dGEycyVnDm/mVrmCzrZri7WvYWFhHzOiHmNTmKnIGTGdyWPNmfsN22Kgu3s6ajYXUxYzmIfcKtHFhx3iNC6vZv/ll3t1fgUU7XVYXk5N/HGLSyUwCSCJ1mAlKd7BhXzW2hmm2Z+dQ0RGleip38OaGPI6edn9BVObtpthqYtiYtHYPZiRlZbn3ox1Hq92/aZbTR8nb8Gaj7zbofS4gcUya/QtSY+DMZ9m8uc+1d8WljSSGGgo37+CoBcBCZf6bvFlo8VpPy5mNSWRlDcNU8xnZ2Ts4Wq192RZOH81jw5s7PAJ3Sdw3RZs2j6ubmUf2S7nYYwLfysS4GKCUwvzGYa+4SQ8xOsZK0cYXeXt/wzHisQ/bh03j0QBLfWtjjae2OEZqEmlJBuxFBRTZA+8QEcz+AdBveCLRHKe0FAYN92xTHEmJJuwlJRxnEMMDPTmaMxgz0nWcBXpODa7NcQyNNUDNt+RXeHa0Dea4D3afCfac4qeNcWmMjIGaws3scB0kWCrzefPNQixNVtnifnJxH2++uIUShjFtwaOktRT83b+Zl9/dT8XFho21WajIf5M1W0oxDJvGA42izA3H3/EcsjcXU+3aYIo3Z5NzPIbR030MLdDQqaPFjg1BtUMIIQTgLpE8ZsyYFqfVptHm6SmSkpKYN28eixcvJisri7vuuousrCwef/xxFi9ezPjx4zGbze7SytD9g8A1Na6KIv4CwJ5tHzlyJHfddRd33XUXAImJie5/R0VF+ZynPXgGOzo7+9eTMSKSyFvHcsMvniTizonoz1cTefZ7VBTUuEH0G3sHurAIzv79PareWseZrf/FqQ1vULvnA1AUIn46gYE/f5Ton04gZMBAlGtoSMZrVXm5K6EhkADwU089xZIlS5r964m2bNnCgw8+yCeffNLVTek0ZrMZp1PFaDTSdBxe7VwWEhKCrd7G4UOH2bt3L/mf53PgwAEOHjzIkSNHOHLkCAcPHuTAgQN8/kU+e/fu5fDhw9hsNkJCQhoty5PR6Cr/bDJLvaKu0u0Kb5tMJhISEigrK6OsrIyEhARMzaVt9QLjxo1j7NixrFixotGg88H69NNPefnllxk7dmyXZf969vaw2+2dUts9mEzdefPm0adPn5YnbPDOO+/w5JNPtqZZLUv5OT9PKuaPxb56mA7i/v/9PEnvbmDzX1cx/48NtfYjbiRlyrMsvn0gTSrpcf19T/LwqT/w17cXMvttIPkJsp9M8Vqyy0CG9Mnhr7+fT8OiMV93I0kPPMus2wdenSzyNn71QiKfvPEq2/6whA+0aSMGMDBlIrMajb3r0eZty5n/tutVg3kAw6c85p6qz49/xWLbq7y6eTPL528GDEQMGcfDz07no4UbCKYvZ+Rtv+KFxE9449Vt/GHJBw2JIWYiBgwkZeIseubQwCOY995OmDOPNZNjee4
Effect of Tempeh Flour Supplementation During Pregnancy In Wistar Rats With Limited Diet Wibowo, Joko Wahyu
Sains Medika : Jurnal Kedokteran dan Kesehatan Vol 5, No 1 (2013): January-June 2013
Publisher : Fakultas Kedokteran; Universitas Islam Sultan Agung (UNISSULA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (286.986 KB) | DOI: 10.30659/sainsmed.v5i1.364

Abstract

Free radicals are formed in the body as a by-product of an aerobic respiration. During pregnancy, the increase in free radicals potentially causes structural and functional damages to fetus. Tempeh is originally from Indonesia having various nutrition inclding vitamin, mineral and isoflaphon serving as antioxidhant having potential to reduce and improve DNA damage. This study was aimed to investigate the effect of tempeh flour suplementation during pregnancy on Glutathione peroxides (GPx) and Malondetaldehyde (MDA) as an indicator of lipid peroxide in the offspings. In this experimental study, 20 pregnant female wistar rats were devided into four groups of 5 rats each to receive one of the following treatment :10 g standard diet/rat/d, 10 g/rat/d of standard diet and tempeh flour 1. g//d, 10 g/d of standard diet and tempeh flour 2g/d, standard diet of 10 g/d and 1g of egg/d. And aquades ad libitum. During nursing period (until 1 month) the rats were fed 10 g/100gBB/d normal diet, after weining they were supplemented with a diet of high in saturated fat for 4 weeks for each group. The Mean of litter size was 1: 9.33 with mean of BW 4.93 g, group II:6.17 with BW of 5.32, group III: 5.17 with BW of 5.33, group IV: 6.33 with BW: 5.01. Means of GPx for the four groups were 22.38 U/mg, 28.94 U/mg, 38.59 U/mg, 16.98 U/mg respectively. The mean of MDA for the four groups were 11.07 nmol/mg, 9.89 nmol/mg, 10.06 nmol/mg and 12.25 nmol/mg respectively. There was a significant difference in GPx and MDA (p=0.00). In conclusion tempeh flour had an effect on the level of GPx and MDA in rats with limited diet during pregnancy.
Effect of Tempe Flour Supplementation During Pregnancy on Blood Sugar and Lipid Profile Study on Wistar Rats which Gets Restricted Diet during Pregnancy Wibowo, Joko Wahyu
Sains Medika: Jurnal Kedokteran dan Kesehatan Vol 4, No 2 (2012): Juli-Desember 2012
Publisher : Faculty of Medicine, Universitas Islam Sultan Agung (UNISSULA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (192.136 KB) | DOI: 10.30659/sainsmed.v4i2.375

Abstract

Background: Low birth weight (<2500 grams) is representation of a nutritional deficiency during pregnancy, this condition is associated with increased incidence of degenerative diseases. Tempe as traditional Indonesian food has the potential to improve of DNA damage and to inhibit the progression of degenerative diseases. This study aimed to determine the effect of tempe flour supplementation during pregnancy on blood sugar and blood lipid profiles of offsringMethods: An experimental study with a sample of 20 female Wistar rats were pregnant, were divided into 4 groups. Treatment during pregnancy: the first group received a diet 50% of the normal diet (10 g / day), group II get a normal diet and 50% tempe flour 1 g / day, group III received normal diet and 50% tempe flour 2 g / day, group IV, 50% received a normal diet and 1 g egg chicken / day. Provision of drinking with distilled water ad libitum. During lactation are given a normal diet, after weaning are given a diet high in saturated fat for 4 weeks in each group.Results: The mean number of children in group 1: 9.33 with a mean BB: 4.93 g, group II: with a mean of 6.17 BB: 5.32, group III: 5.17 with a mean BB: 5.33, group IV : BB with a mean of 6.33: 5.01. There are significant differences in the levels of blood sugar, total cholesterol, triglycerides, LDL, and HDL in each treatment group (p= 0,00). Conclusion: Supplementation of tempe flour effect on blood sugar levels and lipid profiles rat pups that received a restricted diet during pregnancy (Sains Medika, 4(2):182-194).
Effect of Avocado (Persea americana M.) Juice on Superoxide-Dismutase (SoD) and Interleukin-6 (IL-6) Levels Shinta, Sopia; Wibowo, Joko Wahyu; Zulaikhah, Siti Thomas
Asian Journal of Health and Applied Sciences Vol. 2 No. 2 (2023): Asian Journal of Health and Applied Sciences (AJHAS)
Publisher : Lighthouse Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53402/ajhas.v2i2.354

Abstract

Cigarette smoke contains oxidants or free radicals, about 4700 harmful chemicals. The high level of free radicals in the body triggers the emergence of Reactive Oxygen Species (ROS), which results in oxidative stress. This can occur if there is an imbalance between the number of oxidants and antioxidants. In this process, there is an O2 leak that will turn into a superoxide radical (O2-) that can form pro-inflammatory cytokines such as IL-6. The purpose is to determine the effect of avocado juice administration on Superoxide Dismutase (SOD) levels and IL-6 levels in male Wistar rats exposed to cigarette smoke. This study used Post Test Only Control Group Design. Samples were taken from 20 male rats that entered the inclusion criteria and divided into four random groups, namely K1, K2, K3, and K4. K1 is the control group with standard feed without exposure to cigarette smoke; K2 is the treatment group with standard feed given exposure to cigarette smoke, K3 was given standard feed plus avocado juice at a dose of 2.7 grams /day. Meanwhile, the K4 group was given standard feed plus avocado juice at a 5.4 grams/day dose. However, both were given 14 days of exposure to cigarette smoke. On the 15th day, male Wistar rats were drawn blood to examine the SOD using spectrophotometry and IL-6 using ELISA. Data were analysed using the One-Way Anova different test and continued with the Post hoc Tukey test. The average SOD levels were highest in the K1 with a value of 83,23, and IL- 6 levels were highest in the K2 with a value of 79,93. The One-Way ANOVA test obtained results that SOD and IL-6 levels in each group with a value of P<0.05, which means that there were significant differences in influence. Giving avocado juice has an effect on increasing levels of SOD and decreasing levels of IL-6.
Hubungan Status Gizi dengan Derajat Trombositopenia pada Anak dengan Demam Berdarah Dengue: Relationship Between Nutritional Status and Degree of Thrombocytopenia in Children with Dengue Hemorrhagic Fever Fasitasari, Minidian; Pertiwi, Danis; Wibowo, Joko Wahyu; Indrayani, Ulfah Dian; Athatsaniya, Mazaya Denta
Journal of Holistics and Health Sciences (JHHS) Vol. 6 No. 1 (2024): Journal of Holistics and Health Sciences (JHHS), Maret
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/jhhs.v6i1.399

Abstract

Dengue haemorrhagic fever (DHF) is still the most common infectious disease in children aged <5 years and the mortality rate were quite high in Indonesia. The body's immune response to pathogens could be influenced by nutritional status. DHF patients show laboratory results in the form of a decrease in the number of platelets or thrombocytopenia. The aim of this study was to determine whether nutritional status correlates with the degree of thrombocytopenia in children suffering from dengue haemorrhagic fever. A cross sectional study was conducted at Rumah Sakit Islam Sultan Agung (RSI-SA), a teaching hospital in Semarang. The subjects were 90 children under 5 years who hospitalized during 2019 – 2023 by using total sampling technique. Nutritional status indicator was weight-for-age z score (WAZ), and the degree of thrombocytopenia was classified according to platelets count in the second day of hospitalization. The data was analysed using the Spearmen's Rank correlation test with a significance level of 0.05. Average of WAZ was -0.963±1.146 SD with 80% of children had normal nutritional status, while the mean platelet count was 77,622 ± 34,931/µl with 47.8% of the subjects were moderate thrombocytopenia. The p value of correlation test was 0.292. There was no correlation between nutritional status and the degree of thrombocytopenia in children with dengue haemorrhagic fever at a teaching hospital in Semarang.   ABSTRAK Demam berdarah dengue (DBD) masih menjadi penyakit infeksi terbanyak pada anak usia <5 tahun dan mortalitasnya cukup tinggi di Kota Semarang. Respon imun tubuh terhadap pathogen dipengaruhi beberapa faktor, salah satunya adalah status gizi. Pada pasien DBD menunjukkan gambaran hasil laboratorium berupa penurunan jumlah trombosit atau trombositopenia. Tujuan dari penelitian ini adalah untuk mengetahui apakah status gizi berkorelasi dengan derajat trombositopenia pada anak-anak yang menderita demam berdarah dengue. Penelitian observasional analitik dengan desain cross sectional dilakukan di RS Islam Sultan Agung (RSISA) Semarang. Sampel penelitian sebanyak 90 subyek yang diambil dengan teknik total sampling berupa pasien anak usia <5 tahun dan memiliki data rekam medis lengkap periode 2019 – 2023. Penelitian dilakukan dari bulan Agustus hingga Oktober 2023. Data yang diambil berupa status gizi (BB/U) dan jumlah trombosit hari kedua rawat inap. Data tersebut dianalisis menggunakan uji korelasi Rank Spearmen dengan tingkat signifkansi (α) 0,05 atau 5%. Rerata Z score status gizi (WAZ) yaitu – 0,963 ± 1,146 SD dengan 80% status gizi anak normal, sedangkan rerata jumlah trombosit (trombositopenia) yaitu 77.622 ± 34.931/µl dengan 47,8% anak dengan trombositopenia sedang. Penelitian ini menunjukkan tidak ada hubungan yang bermakna antara status gizi dengan derajat trombositopenia (P=0,292). Tidak terdapat hubungan antara status gizi dengan derajat trombositopenia pada anak dengan demam berdarah dengue di Rumah Sakit Islam Sultan Agung (RSISA) Semarang.
Effect of Virgin Coconut Oil Administration to Increase HDL, Decrease LDL and IL-6 in Hypercholesterol Male Wistar Rats Maulidia, Meli; Wibowo, Joko Wahyu; Sumarawati, Titiek
Indonesian Journal of Medicine Vol. 7 No. 4 (2022)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (31.03 KB)

Abstract

Background: Hypercholesterol is a change in blood lipid profile levels, from rising cholesterol levels that can be triggered by frequent consumption of fatty foods. Hypercholesterol causes adipose tissue and macrophages to release inflammatory cytokines, then adipose cells release IL-6 and spur the formation of CRP. This study aimed to determine the effect of Virgin coconut oil (VCO) on changes in HDL, LDL, and IL-6 levels in hyper cholesterol mice.Subjects and Method: This randomized controlled trial was carried out at the PSPG UGM Nutrition Laboratory in August 2021. The total number of samples used was 20 tails and 4 spare tails, namely 24 male Wistar strain rats. Sampling using simple random sampling. The independent variables in this study were the dose of VCO 0.9 ml/200g BW/day, and 0.45 ml/200g BW/day. The dependent variables in this study were HDL, LDL, and IL-6 cholesterol levels in male Wistar rats. The data in the analysis used a normality test with the Shapiro-Wilk test and a data homogeneity test with the Levane test. HDL dan LDL levels were measured using a lysis reagent, while IL-6 was measured using the ELISA method.Results: Average LDL and HDL levels are highest in the P1 group compared to the P2, K0, and K1 groups. The One Way Anova test on HDL levels showed a significant difference between groups with p<0.001. One Way Anova test results on LDL and IL-6 levels showed significant differences between the groups (p<0.001) and (p= 0.004).Conclusion: Administering VCO at a dose of 0.9 mL/ 200 g BB/day 0.45 mL/200 g BB/day, and 86.4 mg/200 g can increase HDL and IL-6 levels in male rats Wistar strain with hyper cholesterol and lowered LDL levels by the same dose in male mice with hyper cholesterol.Keywords: hyper cholesterol, HDL, LDL, IL-6Correspondence: Meli Maulidia, Magister Ilmu Biomedik, Universitas Islam Sultan Agung Semarang. Jl. Raya Kaligawe Km.04 Semarang 50112, Central Jawa, Indonesia. Email: maulidia.dr@gmail.com. Mobile: +6285740003464.Indonesian Journal of Medicine (2022), 07(04): 471-478https://doi.org/10.26911/theijmed.2022.07.04.12
Co-Authors Anggraeni, Gilda Putri Athatsaniya, Mazaya Denta Chodidjah Danis Pertiwi Fatikhasari, Amalia Nurazima Fitri Wulandari Hanfin, Zayyina Chamaladina Israhnanto Isradji Maulidia, Meli Minidian Fasitasari Muhyi, Ahmad Ninasara, Yulisa Afriani Pradana, Febry Annan Purjaningsih, Shofi Khofsoftun Purwito Soegeng Putri, Maharani Aulia Setyo Trisnadi Shinta, Sopia Shofa Chasani Siti Thomas Zulaikhah Sri Priyantini Sulistyowati, Dian Suparmi Suparmi Tanry, Selvina Taufiqurrachman Nasihun Tianka, Inge Elsa Titiek Sumarawati Ulfah Dian Indrayani wibowo, subur Yafie, Ahmad Arif Yuniarifa, Conita Yuniarti, Heny Zulaikah, Siti Thomas