{"id":472,"date":"2024-06-06T05:28:56","date_gmt":"2024-06-06T05:28:56","guid":{"rendered":"https:\/\/drzakery.ir\/?p=472"},"modified":"2024-06-07T22:23:46","modified_gmt":"2024-06-07T22:23:46","slug":"pdf-results-of-low-versus-high-load-resistance","status":"publish","type":"post","link":"https:\/\/drzakery.ir\/?p=472","title":{"rendered":"Pdf Results Of Low- Versus High-load Resistance Training On Muscle Strength And Hypertrophy In Well-trained Men Bret Contreras"},"content":{"rendered":"<p>Nine meta-analyses were categorized as high quality, presenting values of 81 and 88% (i.e., thirteen items satisfied) (Schoenfeld et al., 2015, 2017a,b, 2019a; Grgic et al., 2017, 2019; Lixandr\u00e3o et al., 2018; Nunes et al., 2020). The remaining meta-analyses had been rated as reasonable quality, with values between sixty three and 75% (i.e., from 10 to 12 items satisfied) (Roig et al., 2009; Krieger, 2010; Schoenfeld et al., 2016a, 2017c; Slysz et al., 2016; Grgic, 2020). The high quality of the evidence was evaluated using the modified Grading of Recommendations Assessment, Development and Evaluation (GRADE) principles (Guyatt et al., 2011). If the standard of the first studies was not assessed, the systematic evaluate should be classified as \u201cno proof from systematic review\u201d.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"303px\" alt=\"Analyzing High Versus Low-load Resistance Training Methodologies\"\/><\/p>\n<p>The selection between excessive load and low load coaching should think about particular person targets, physical capabilities, and preferences. High load coaching may be more appropriate for these seeking improvements in both muscle size and power. On other hand, low load coaching, particularly when combined with BFR or electrical stimulation, might be preferable for these specializing in muscle size or those with limitations that prevent them from lifting heavy weights.<\/p>\n<h2>Low-load Bench Press Coaching To Fatigue Leads To Muscle Hypertrophy Similar To High-load Bench Press Training<\/h2>\n<p>Therefore, periodizing frequency and\/or including intervals of low frequency regularly (i.e., tapering periods) can help to maximize hypertrophy responses and to reduce the potential for overtraining, but extra research is required to verify  this hypothesis (Fry et al., 1994). Despite these outcomes, coaching frequency can be a useful strategy to extend the general training quantity, a variable that has proven a dose-response relationship with hypertrophy (Schoenfeld et al., 2017a). In addition, variations in inter-individual responses to coaching frequency has been observed, so individualization of the coaching program is essential to maximise the hypertrophy potential of each participant (Haff and Nimphius, 2012). Following muscle skeletal muscle biopsies, individuals underwent isokinetic dynamometry (Biodex System four; Biodex Medical Systems, Inc., Shirley, NY, United States) for leg extensor peak torque and 3RM testing.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"300px\" alt=\"Analyzing High Versus Low-load Resistance Training Methodologies\"\/><\/p>\n<p>Compared to a control condition, strength training with high hundreds, plyometric training, and a mix of strength coaching strategies could improve running financial system in middle- and long-distance runners. Other methods such as submaximal load coaching and isometric energy coaching seem less efficient to improve operating financial system in this inhabitants. The article printed in 2022 by Coratella [23] offered <a href=\"https:\/\/business-oppurtunities.com\/analyzing-high-versus-low-load-resistance-training\/\">Analyzing High Versus Low-load Resistance Training Methodologies<\/a> a comprehensive view of how training variables past load and variety of repetitions influence coaching stimuli. For occasion, Coratella explained that even when the load, variety of repetitions, and displacement per repetition are fixed, the differences in muscle length being educated can have an result on acute as well as long-term results&nbsp;[23 (PP. 4\u20135)]. Moreover, Coratella also supplied in-depth protection of the influences of manipulations of those training variables on muscle power and hypertrophy.<\/p>\n<h2>Literature Search<\/h2>\n<p>This course of was made in three steps and the reviewers were blinded concerning the coworker screening. In case of any discrepancy, a third reviewer (Dos Santos, LP) were requested to seek out an settlement and decide to incorporate or not the paper. The sheets of inclusion\/exclusion process for Mallmann, ALS and Doria, LD is on the market at Supplementary materials 2. All data from each research were screened using a bibliographic administration program (Mendeley1, version1.17.9). The electronic databases used were MEDLINE (PubMed), Web of Science, Cochrane Library, and EMBASE in February 2022. When contacted authors did not answer, information had been extrapolated from figures, using Image J software program, or utilizing obtainable data and arithmetic formulas supplied by Cochrane\u2019s handbook as offered at section 2.four [19].<\/p>\n<p>CV, SP, and MR devised the project goals and outcomes, and DB, JMcD, and KY supplied critical insight. CV, CS, SO, MS, CH, MR, NM, BR, JMcl, and JMcK have been involved with multiple features of data assortment and analyses. CV, SP, and MR primarily drafted the manuscript, and all authors edited the ultimate manuscript for submission. TYL (lead author) conceived and designed the protocol of this study and is the guarantor for the examine and individual responsible for writing initial draft.<\/p>\n<p>There are clear limitations in summarising totally different dose components from a coaching intervention based mostly on, for instance, the common number of sets, the place this variable might change substantially relying on the periodisation or development mannequin. In addition, for variables similar to general coaching volume and intensity, there was a high diploma of subjectivity and problem in acquiring a single value, particularly when considering different training modes. The current meta-analysis was meant to uncover basic relationships, however the extensive heterogeneity across the info set limits nuance and there are limitations in drawing robust inferences from pooling of oblique knowledge. It is predicted that there shall be many cases the place factors corresponding to coaching frequency and volume strongly influence the effectiveness of an intervention; however, variables quantifying frequency and volume within the current evaluation lacked predictive energy throughout this huge and heterogeneous information set. Despite these results and considering the limitations of the meta-analysis, practitioners are nonetheless really helpful to implement periodized training interventions that embody appropriate manipulations in intensity, quantity and frequency over time in an try and maximise a given end result. Overall, the results of the present meta-analysis suggest that practitioners should focus first on total intensity and intensity of load with the suitable target outcomes in mind.<\/p>\n<h2>Decrease Load Resistance Coaching And Muscle Hypertrophy And Energy Variations<\/h2>\n<p>The seek for articles was carried out in PubMed, Web of Science (all databases), Scopus and SPORTDiscus databases. Different phrases and Boolean operators were used for the search [Table S1 in the Online Supplementary Material (OSM)]. The search was updated in November 2022, through notifications of latest studies found within the search technique within the different databases. In addition, the reference lists of includable articles, and from reviews, systematic evaluations and meta-analyses retrieved from our search had been scanned for extra articles of interest. Therefore, this systematic evaluate with meta-analysis aimed to compare the impact of various energy coaching strategies on the RE in middle- and long-distance runners, over totally different working speeds. High load training focuses on lifting heavy weights and putting considerable strain on the muscles[1].<\/p>\n<ul>\n<li>Furthermore, included research that measured antioxidant capability showed heterogeneous outcomes.<\/li>\n<li>Thus, as lengthy as there&#8217;s the periodic implementation of heavier load training, comparable changes in energy could happen.<\/li>\n<li>Briefly, participants carried out a testing battery prior to the start of training (PRE), seventy two\u2009h following the final bout of coaching after 6\u2009weeks of unilateral lower-body resistance coaching (POST), and 10\u2009days following the last bout of training (POSTPR).<\/li>\n<\/ul>\n<p>Following a methodological quality analysis, 9 meta-analyses were categorized as high quality, presenting values of 81\u201388%. Based on this umbrella review, we can state that no much less than 10 units per week per muscle group is perfect, that eccentric contractions appear important, very slow repetitions (\u226510 s) must be avoided, and that blood flow restriction may be helpful for some individuals. In addition, different variables as, exercise order, time of the day and type of periodization appear to not directly affect the magnitude of muscle mass positive aspects. These findings present priceless data for the design and configuration of the resistance training program with the aim of optimizing muscle hypertrophy. There is prior literature that has interrogated differences between HV and HL training paradigms. Holm and colleagues (Holm et al., 2008) reported that high-load (~70% 1RM) versus very low-load (~15.5% 1RM) leg extensor training increased quadriceps CSA; nonetheless, the change in the high-load condition was larger than the change in the low-load situation.<\/p>\n<h2>Time Course Of Low- And High-volume Strength Coaching On Neuromuscular Diversifications And Muscle Quality In Older Girls<\/h2>\n<p>The group who didn&#8217;t vary workouts skilled a major enhance in most, however not all elements of the muscle. In addition, differing regional hypertrophy have been observed with free-weights vs. machine-based power coaching [55,fifty six,57,58]. Different kinds of knee extension have shown completely different kind of muscle development within the quadriceps. For example, the barbell again squat does not appear to induce hypertrophy of the rectus femoris muscle [55,56,57]. A probable rationalization is that the rectus femoris crosses each the knee- and hip joint, and thus doesn&#8217;t contribute a lot throughout simultaneous knee- and hip extension [59].<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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Izd9nR5N\/uu6bRZRMYjvS1b7FalvLShllPet1agAAduJXCgx1m6lYlleQN5jqFq7iFyu0ZYXbocW9sottn8kj+qtqc3W6QTxSHAXDz4AyklFBJUa64UQCYOTDcb7HHZoI\/xHZ8q\/f8ATphP+xZL\/wAPTPu6jv8A6TtMvlHxT11G+3T\/AEnaZfKPinrqL9ugkR\/p0wn\/AGLJf+Hpn3dP9OmFf7Hkv\/D0z7uo7jU3TMnYaj4p66jfbq0r\/qTdcsdkWPS+WI1vSgIlZYpkLbCidlN25tY4ZDoHe+oFhG\/k9qobAJaYzr3pnlueOaY2m9Ppyhq3e6q7ZKgvR3kReIAOKC0jYHiBAPMjmARzrIlQt6NNitmO61WSFa23dnrTd5Eh990uyJb6jE4nn3VeU64r4VH\/AAGwAAmlQKUpQKUpQKUpQKUpQKVZmpGpLWnLmLiTj065M5LkETHy9GcaSmEuRxBDrgWoKUjiATsgKV5QO225qzZ3Sgwi0yL85d4UyNbbU1c1QJ3EhQurlukIjTGmkA7pUmQ602ni2DhVuOQoMy0q0NNNRYuo1onSxZ5douVnuL9outtlKSpyJLa24k8SCUrSpKkLSod6VpOwO4FxRL1Z58p+DBu0ORJinZ9lp9C3Gjvt5SQd08\/joPbSlKBX4SBzNftfm1BinUrWp60yZ2G6Z2gZHlkZbbEoqCxbrOXEhQXMeSD5QQeNMdG7q\/J5ISrtBiaHit191pOT5C\/Ov+RzgESLvMjJS4Gh+SwwhI4Y7A\/5tHefKWpxfl1UujroHo\/nWkFny7L8Dt91vN2lXKXOmyC4p2S+qc+FOLPF5SiEjc9\/IfFV+O9G\/oxs3NiyPaf423cZTS32IinlB51tBAWtKCviUlJUncgbDcb99BYnudcP9hkfuzT3OuH+wyP3Zq+rZ0cujFe0PuWfAMbnJivrjPmM8pwNPJ\/KbVwrOyh8IPMV8rR0fOixkD02PYsJxa4u2yQYk1ESV2yoz4723AhZ4Fj4Uq2NBjy+TImL2eXkOSymrVa4DZelTZquxZZQPhUtXIcyAB3kkAbkisTX\/Jsg1HMi3W03DHsOdbQhbqkrjXW8pUN1hOxC4UYjlxDZ9wE\/2I\/KyR0k9DtJcEbwK5Ylgdrt0h7JyhxaEFXEEwJbidwokcloQocuSkgjmBVjKJJKlEknmSe80GcuhXAgWrT3KLba4LEOHGy6Y2zHYbCG20CPG2AA\/wD38NSDrAfQ5\/QnLvTGb7PGrPlApSlAq3s3zzGNPLOL5lNx8GYdfRFjtNtLeflyFnZthhlAK3XVHuQgEnn8AJq4awXqZgWH6j9IvELFnNhj3mBDxC8zYzEkqKGZBlwWy6kAjZXApSd+\/ZRHcTQWbldwz7WBxfjxZpNnxUSCuLiqPLVKQk+Q5c3EjZZPM+CIJaAIDinTyT90Wua2hLTVueQhACUpSyUpSB3AADYD9grJP9Ffo9fJXZ\/+pz7VWJhemnRdznJ7xjNr0ZjtKtKnQmW6jdiT2TymHeEodUptSXEEcDqUKI2UkFJ3oPH7nXD\/AGGR+7NPc64f7DI\/dKr0YNp70Wc7zLIcEjaIP2m7WBtqXwXa3uR0T4Lq3G25kZXaHiZU4y6gcfAvdG5QElJN\/wD9Fjo+I8tOldm3TzG4cP8A\/wBUEdMz1PRbLhLxDCIUe\/ZTFW21LaW9wwrPx8+Oc6nmFcPlJYRu6rluEJPHXy0Px1MbX\/D8kvVyevmQzZU1uTdZSAlXZi3SillhoEojMD4G2+\/kVqWryqsfS2HEgaf2iNBjtsNHwhwpQnbiWZDgKlHvUogDdR3J2G5rJGk06Cxrxp\/bX5jDcuVIuLrEdTgDjiEW6SFLSnvKQSAT3bkUE1qUpQKUpQfhJA5CsG57rbkGQSHcW0Vjh5Lbz0a55Y4x2sKApslLjURJBTMkhYKSP7FshXGoqT2Srv6RsqVB6Pmp02FJdjyI+HXl1p5pZQttaYTpSpKhzBBG4I5irYxPotdHxzE7ITpVZEj3Oj7JShaUj8WDsAFbDmT\/ANdBjuy4f7hJkOR4dwkzZ7pkT7jMKn5k54\/8o+6Ruo\/AlI2QgeShKUjaql7nXD\/YZH7pX8qt3XXT7RvTvIbPj9j0biJgqtszIMgukOAmW\/BtkV1hCy0288hBUS+VKUA4pLba+FtSina6dRdCdG7BedO2se02x7wLI8jRbbil2K44p2KuHJdHArjBbVxtIO+x5bj4aD4e51w\/2GR+7V\/KqLluRWbBbWm85bM9zozjyIrAW2ouypCzshhhoDjedVz2QgEnYnuBIzCOiv0evkrs\/wD1OfaqP2umlenWnesmKpwrELfau0xi6vksoJIdEuEgLSVE8KuBxadxseFRHcdqCx7y5f8AU88eZRpFoxrtguPi4cSHJSUkFDlydbUQvc8\/BEKLQ5cZdPJMxujalKNA8BQlISlNhiAJSNgB2Y2AHwCtd2v\/AEnsJ0Lgrt5W3ecscH9Xs7Tm3YcuTklQ\/s0\/+j+Wr4Nh5VbBuipLeuPRp0vuUgIDs3E7ZJcCBskLcjoWrYfAN1HagypSlKBSlKBX8PJcW0tDSwhakkJUU7hJ+A7fD\/hX90oMIf0cZBLmTIyq3ws3cvkfITd7fZEsRFTWoTsIuridqeJS2X3Csl3cr4D+SgJr4WjonYtj1wsMex3+bHx21Ls0qZbVtJcduEu1NqRDdW8fyE+UhTiUo8pTLexQOMKztSgpeSW633GyzG7hBjykIYcWlLzSVgK4DzAI76+eHADEbGB8Ftjfwk17Lx+aJ3zZ36prx4d+iNk+jY38JNBWK1ndabor0ndT9WMPuehmK5bdbTDx5TEtyzylNtIkGS4ohQC0+VwlHPbu2+KtmNfmwoIZaB4Hqqrom6ddH\/UjFr2xdb1GubeSLu7L7zTEJD7qhGkPIUShTqXGwkbndKVDlyBuG2ZFrZdsQ09t2SYRqPCRBZk4\/e14+EQ5vusythEK4K7YgKgutIfWondKFOAOJO1Ss4R8VNh8VBDqXbNbcWst5Zx+0ajvSpacibbYYkuupFwTem5URxorc4UNriLdAWCG1DibPlbJrz6hR9b7rm2Tw5GK55PxqVdbU9FiuR\/C2Wn4eSxXu2ZKTwpbMEKWAhIHCnZSnHEr2mbwju2pwgctqCPmsFoydzWiy53geC3W5ZDi9sj9jISz2EWfAkSVtTYBkK2RxhK2ZIQruMcbd5BsfDNKMqXgGcS7fhdyZy\/FNTJ+ZYsq4xvBV3JezfF2bjnIIlN+EslR5J7UEjkmpd8I+Kmw+KgjfqhhmSMI01XZsZuPu1KyG53e5zoFv7cWyZMtM2OiQ8tscg29Jjo4+Z4W9+5J2uDQCyQLZi2FYbddIrlYr9gVqMB+ZLiJDLMhaAiSuPKHKSJC0lxSkb8W4U5wr2FZwIB7xThHxUGB7ljVxY6Q9zOOYWtmKvA1sW64P2tXuWm7eHuSkhbiRtxcakuHbmSTz4qxp4Pr1Os1hTId1SgGVcMfh5M22tapDc8POpujsdYCuGEWSk8TWzfF2ZRsQuph7D4qcI79qCGF+uevbsNePtyM3j58xEnXOfEYlKRDmCHd4KkG3bnhdbMJTw4EndfGEuAuGqvgzvSIm6k29jJompNvxleVXKRa3EpYcQqILi+6hu4FxwrajqhrjobBSpQ4HEAIWEmpVO2GxvXhnIXrNBXdYzCozM5UdBkNsqO6m0uEcQSSASkHYmvdwpPwUH7SlWdqPqriumNviv315+RcLk74Na7TCb7abcX9iShlrfmAAVKWSEISCpakjnQXhvTcfHUTr1dNRNQ5pvea5VdrE2CoQbFjV5fiMQmieRfkM8C5T5AHETs0jmEJPNxVP8Vnv1+1B\/4yuX31BMHcfHTcfHUPvFZ79ftQf+Mrl99X6nFZCjwjPdQiTyAGY3Ikn99QTA3Hx0BB7q18ZTk1xuEmbi+luoOZzLhEfMS4317Mri\/brS4Py20pTIBlyk7j8UkhCDydWk+QZZdFuVd5ehmOrvmQXS+TWXLhGXcbpIL8uQlqdIbQp1w\/lK4UJG\/7KDK1KUoFKUoMGqxvHch6W2SNX+wW25ob08spQmZEbeCT7o3Hu4wdq+PScsWPae6IZLmmGYhisC7WhuPIZdcsEV9JHhDaVoKVI28pKlDfvG+4qJXWM9LPVPon9JKz3bS1NoL+S4RFYm+6MQvjhZnyyjg2Unbm4rf4+VRSyvrWukdndik4vmeN6e3q0TOESIM6w9qy6EqCgFIU5sdiAefwig2vZFpOga2Y8i0SrE1Y5CXps+wDFrb2CILDQQpRfU32xcXIda22UAEhQ4eRNfW4aTxEa22UxpdjVYZceTNk46jFrd2CIzTKW0kvlovcan3UL34gCEKSB8NaoXutl6S8hDyJFiwF0SIXua8V2IqLkXn+JUS5uUeUryTy5mv6t\/W09Jq0rZdtli0\/irjw2re0tqw8KkRW9+zZBDm4Qnc7J7huaDc9f9M9OG7DcnEafY0lSYbxBFpj8vIP\/oVryXqjh2k+iWMZdnV3EaMmw25thlJC5EtzwVvZtlvfdR5cz+SkcyQKjzK64HpZTIr0R9rDC2+2pte1nV3KGx\/5T9tQ6yrNMozWazPye9yrg7FjNQ44dXulhhpAQhttPchISkDYAfGeZJoNnnV29I7I9fumDczJhN2vH7XiVwXbLaghamyqRESXHXNgVuEfsCQOQHeTtRrSd1MXnT3v0Nm+1Ra3Y0ClKUClKUClKUClKUFiar6c3PUdnGWIGQsWlOP5JByBwuQTJMkRlFQZH4xHZ8RPNflbbd1WHc+ijjd8N7gXi\/SHbTMTd1WiO0yG3bY9cpjcyU4XOIh3aQw0psFKQlKSk8e+4zvVKTlWMqusyxJyC2quVuYTJmQxKbL0ZlXc44jfiQk7HmQBQULTHTw6f266ibeV3e7ZBdX71dZxYDCHZLoSnZtoE9m2hCG0JSVKOyealEk1+Jt0CHqww9EhMMOSLDJW8tttKVOK8JZ5qIHM\/tNXPaLzaMgtzF4sV0iXGBKR2jEqI8l5l1PxpWkkKH+BqgP++pD9H5PtLFBddKUoFKUoMQdEnzfcX\/8AfuHt8iqTq7jt8u2v+m10x7HZ5XEsOTQn76zB42YC5LDAjpde28kFbayE924BO24qCGL9bLD6Ptuk6LuaGPXteI3S5W5VxTkQjiSRNeVxhvwZXB+V3cR7u+qsOvHgD\/8Alsf\/AOKk\/wD0lBLjQG0ZVgcxqdddPcgt8d6wY\/iD8dqMkqcucJqWZM1Q4h+I2U00mQfyyEbbp2NXl0cMQuOJ27IOwj3ZjG7nPbnWZm\/QksXlnibAkNyiAFOgOg9mtzdwpJBUpISTBX8OPb\/\/ADbH+f8A7VJ\/+koOvIgDu6Nsj\/ipP\/0lBMvpg\/m3T70pX\/8ALJtRQ1h1swTRLH\/drMLhxSXgRBtbCgZc1Q\/1U\/3UfG4ryR+07A4U1962ybq7j9og43ou1YLpZbkbjGlTL14azxGM8xspoMt77dtxDytt07EEGoGZdmGS53f5eT5beZV0uc1ZcekSHCpR+JI+BKQOQSNgAAAAKDfH1bGeydUej5cNQpduagO3zK7nIMVpZWllIDSEpCjzV5KBueW53Ow7qlbUKeqE8ze3+kNz+uiprUClKUCsSZBNhwek7jD06WzHbOD3hIW64EAnw6By3NZbrVJ14UmTFvGjy4z7jKlRr6CW1FJI4oXxUG0k5Hj235+t3+aR\/OsPYbpy7hOZ5Hm1q1Cxsz785tIKkkInpMzte2loS6AuQ1GKo7biduQSV8QAQnnV917t\/vSX+\/V\/Onuvdv8Aekv9+r+dB0h6c2\/KrFl+TZHnWc4FPbva0Fg2mG5HlBCFK7Fp512Q4FoabVwpCUp8pbij+VtWSFZHjxBAvtuJI\/2pH865dPde7f70l\/v1fzp7r3YcxdJf79X86DYRqD0uMR0XwK2Y7jyYuQZepmR\/VUu7x7eTId4VSVJ71bEENAg7bblII3szq1s7yrUjp+47lmZXh65XOXbrsFuucglIhO8KEJHJCEjkEgACoQKUpRJUSSeZJqYHVO+ezif0ddvYnaDfPSlKBSlKDHPSQb7bo8aoNcXDx4Zexvt\/6i7Wuqz9dzGtVog2s9HJxzwOM1H4\/GkDi4EhO+3gvLfatjPSJ837U70NvXsTtczNBs5yjri8FzR2E9lPROauS7epSo5eyn8gK24knaKOJCuFPEhW6Twp3B2FeJ\/rctNZK4bj3RJBVb725kcYjL1jsrm4VFckbR\/yjxr\/AGbKI22Na06UG1j8ORG\/8213\/iof\/S1gjpI9Z\/lWs9wt95wTT5vCrjDtMu0qluXLw9xKH3mHStn8U2ELHg4G5CvyiRsQDUHqUH3mTplylvT7hKdkypLinX33llbjq1HdSlKPMkkkkmukbojeazpH6F2f2RuubId9dJvRG81nSP0Ks\/sjdBlulKUClKUClK+b61tsrW22XFJSSlAIBUQO7c8udB9KVga9676iYvjeZT8h06Y8PxmdDYS9a1yrlDQy+0HVuP8AYsl4dgj+17Ntf5SCO8gf3K6SKo2T2+3xLZbrpZmplgtN3uEOWo8Eu7tlcdyMCnZ1gbs7kkKIe3H5BBDNV4\/NE75s79U148O\/RGyfRsb+Emv4y2+W2yWOU\/c3yy26042hQbWvdRQdhskE\/Aa\/vD\/0Rsn0dG\/hJoKxSlKBSlUDNc7xLTqxO5Jml7YtdubWloOucSlOOK34W20IBW44rY8KEAqV8ANBXVuIbQpxxaUpQCpSidgAO8k1jhrpG6KSUdtCz6DMZJIQ\/FbdfZc2OxKHEJKVp3B8pJIPwGsKZXnF81k4hl7zdjxB5v8AEYwJaUyJgJ3C7mtJ7uED+qoJQNz2qnD+LT6W7pDZbQyzc4rTTSEttttvoShCQNglKQdgAAAAOQFBmX+kLo\/+uDf+Ukfd0\/pC6P8A64N\/5SR93WHPdmP\/AL4Z\/wA0n+dPdmP\/AL4Z\/wA0n+dBmP8ApDaP\/rg3\/lJH3dfW36+6Q3O9WvHo2bwxcb5IVEtsd1t1pUt5KCtTbfGkBSgkEkD4KjLl2rPubNOM4UGshyTbd1nwkiFbElO4dmvJ34Adxwsp3dX8ASndYt7A7G+NUcLyTJrs9f8AJHb9CZeuklAT2aCsksxmgSmMzuB5COatgVqWrnQT8pSlApSlBTsiuLtnx+53ZhCVuwob0lCV\/kqUhBUAf2biouaXaH6p55iNk1fumtcR2\/ZnZ4t1lyZOLsvusokNJe8FaUXfxcdviCUtpAHLiVxKJUZM5x+hWQfRcv8AhKqyOjterMz0ftNWnrvCQtOI2gKSqQgEHwNrkedBiZGB3VebP6bp6TeP+M0eKqY5bPFVgPBlISVKA7XY8IWgkAkgLSSACK9MHTPIrlhv+kOF0lLC7jXgy5nun4rMBgMI34llRdGwHCd\/8KvZcy7XLXWNcZ+BQWscsDEk2u9pvsIJXJfbT27yo6VF0rVwpaTvsAnjUfyhtT9NZ2W4JotasZnYDCul3jIujz0Bd\/gpQHfCVvRkFZWUkOdoPKH5BSdx3bhbuHaVZZqBYmcmw3pF2e62yQpbaJDGJM7caFFK0EF0FKkqBBSQCCOYrHuvGAagYddMSxG\/aqu3G05Q5PVPbtlrbtb7jcVpDgZ7dtalpbcKtnAjhUUjYKAJ3kbobKftuISn8wsVtxi93O6SrjcI4u0aUX33VBS3yppRQAT5KU7khCE7nfesM9NzOMMxi+acZLkOUW2Da4Kb6qRJckJKU7xW9kgDcqUe4JAJJ5AUGPrfb4lviMWy1QWIkWOngZjx2w220nv2SkbADvP\/AFmpN9EubDuOgmPzrfKakxn5V2caeaWFIcSbnJ2UkjkQfgNaTukd0yck1QMjE8BXLsWJLQpl8bhMq5JJ5l1Q5obI5dmk7EHyir4Nv\/Vy+ZRpX9GSPbH6CSNKUoFKUoNNXXZ+\/wD4N6Hp9tkVrsrYn12fv\/4N6Hp9tkVrsoFKUoFKUoJ79TD50979DZvtUWt2NaTuph86e9+hs32qLW7GgUpSgUpSgUpSgtbUzPrXplhN0zS79iWLe0ClL0tqK2t1SghtCnnSG2wpakjiUdhv8J2BxVaNROkzCyC2O5XjGls603ZkzWrVYcgmLu5hgo7R1gSGEMyC2HEFSQUcW\/I7kA33rtZ7netP3WbJd7JBuMWfBnREXsgW+a8xIQ6mLIJ7kOlHBxDcpJSoAlOxxXp\/qLrLrDqFYUZ7pvj2ndmxqe7LClZRFus68SuwdaQ1GTHOzbPC4ta1L8ohKQE\/lEBJRtQW2lY35jfmNj\/0iop6oaD6jZPeMvi4M5MYtgbu9yaVcQ02ufOniMHYTDqVFaoxQw7uXUpAU62kFSUbIldTcfHQYv0Exe+49bstuF4sqrIxkeUzrzbrUtSCqJFcDaU8SUEpQpxSFulIPIu8\/K3qrQoN1iauFy43tU9p+ySVxmjHQ34MjwlnyAU81\/BzPPlV9cvgq1X\/AH1Ifo\/J9pYoLrpSlApSlBzF63e\/Pn3pRdfa3Ksur01u9+fPvSi6+1uVZdApSlApSlBvS6oTzN7f6Q3P66KmtUKeqE8ze3+kNz+uiprUClKUCtT\/AF5P520d+bX360KtsFan+vJ\/O2jvza+\/WhUGrelKUClKUCpg9U757OJ\/Rt29idqH1TB6p3z2cT+jbt7E7Qb56UpQKUpQY96RPm\/aneht69idrmZrpm6RPm\/aneht69idrmZoFKUoFKUoA766TeiN5rOkfoVZ\/ZG65sh310m9EbzWdI\/Qqz+yN0GW6UpQKUpQK+bzZdaW2lxSCpJAUnbdO\/wjfluK+lKDG2NaMPYvZ5FniaqZtITJmiYt+RKjKd5lZcb4gwOTinCpStuPcJ2UNhR\/o\/adO5Na8kYgyIiLWqC8m2xnezhvvwkLRDedQButbKXFBO528lBIJQgjJNKDxXgf+CJ3zZ36pryYd+iNk+jY38JNey8fmid82d+qa8eHfojZPo2N\/CTQVilKUCsD66Yhimea4aPYvm+N22\/2d5rI33IFyjIkR1OIiscCy2sFPEniVsdtxxHbvNZ4rC2rFyt1p6Qejc663CNCjJj5KkvSHUtoBMWPsOJRA35H\/qoP7v8A0ZejJYrNLu6ejbhNwXGbK0RImNxFPPr7koQCkDckgbkgDfckDc1jpWJdEGFhMXLr\/wBFnGrVJfyFnGHrQ7jMFyVHnLlojHiLfE2ppKnEqU6lRTw\/DvyrPWSZpYJ9gnwsZ1Oxm03V9hbcOc++zKbjOkcnC12qO027+HiG9YWumjeFZLhdrx7JdeoCbtbJsaQJ9nuKoTDzbVwZmKS5HVKc43VrZPE8pZUVK4v7oTQfTVDSDo76cNx5UToZ49ksNYBlSrdZLS2iKVOJbQkiQttTilFXJLYUeXPmQDf46KHRj7\/6Pun2\/o7F+xXtnXLHr0ILV\/1TxiSzb777qttsutNccdsqVGYUS8rdSFltRc5cRb\/JTvyusZ\/gnd462H1kz9qggditptVgav8AZLFbIlut8PK8gajxYrKWmmkJuchKUpQkAABKUgfsSB3AVcOO3O2w9TdPbbLuEdmZccmiphx1uAOyOALWsoT3qCUpJJ7h8PeKjfrb0t8K0adymz2Exsjyt7LMgW3Cbe\/q8VC7nJUl19ad99wUlLaTuoHclI23wN0LNQ8u1P6fOmuW5reHbhcJd5eJUrZKGk+CvbNtoHkoQByCUgCg38UpSgUpSgpmUfo1dvmL\/wDDVXLgJsxICUyngByADh5V1H5R+jV2+Yv\/AMNVctVB9vDpv+2P\/vDTw6b\/ALY\/+8NfGlB9vDpv+2P\/ALw1\/LkiQ8Al59xYHcFKJ\/8A1r50oFdC\/Vy+ZRpX9GSPbH656K6F+rl8yjSv6Mke2P0EkaUpQKUpQaauuz9\/\/BvQ9PtsitdlbE+uz9\/\/AAb0PT7bIrXZQKUpQKUpQT36mHzp736Gzfaotbsa0ndTD50979DZvtUWt2NApSlApSlApSlBjTpCaaxtWtOncIn4zachgyp8J6ZbrnPfhMvsNPJcWO2ZBWleyd08iOIDflvWCtEtJeg1hmtMK04Fi9rxrVKzIcks29F+dmOhtTakLKSHnG1ApUo8J2WAN+ECspdMeHapuhV1RfsQzTJ7WzNgPTrXh7ikXR9hMhBWGynZXCBzXsUng4vKT31jjozanYjbpeP4Lpf0MM10+x66KUkXyTb4iYYSG1rK3pDTrjjq1KQE7rJJUeagRsQlpURtSNbNTsWyzUR+yXZ6bGtrU6Paw02HI7a2Uw+1DjRSFMuRUPPP9oSpDydx5PZ7VLqqYMYxwXKVeE2G3CfOa7CVKEVHavt93Ate26k7fASRQWBoLlF8yK35bAut6Ve4uPZRNtFsuiwjjlxW0tqHEpACVqQtbjRUBz7PnzBqsQ586bq2GpdlkwUR7JJQy4840oSU+Es+WkIUSByH5QB591XhbLXbbLCZtlogR4UOOngZjx2ktttp+JKUgAD\/AAq3n\/fUh+j8n2liguulKUClKUHMXrd78+felF19rcqy6vTW7358+9KLr7W5Vl0ClKUClKUG9LqhPM3t\/pDc\/roqa1Qp6oTzN7f6Q3P66KmtQKUpQK1P9eT+dtHfm19+tCrbBWp\/ryfzto782vv1oVBq3pSlApSlAqYPVO+ezif0bdvYnah9Uweqd89nE\/o27exO0G+elKUClKUGPekT5v2p3obevYna5ma6ZukT5v2p3obevYna5maBSlKBSlKAO+uk3ojeazpH6FWf2RuubId9dJvRG81nSP0Ks\/sjdBlulKUClKUClK\/h4uhpZYCS5wngCjsCr4N\/2b0H90qNZ1B10s01GDXjLrHPm5DmLditOSxrN2LEVJt8iZIZ7AuKS92K44YCyoFXGrfZTZJoeK9KjOswcxfKo1ugQbU5Jxa13e0KZK3JT15aUpT8d0niSGVKZ4UkEKSl7i3JSUhKS8fmid82d+qa8eHfojZPo2N\/CTXwzO\/xrDYZL8qHcZIebW0EwoTslYJQrmUtpJCeXeeVffDv0Rsn0bG\/hJoKxSlKBWtXrvPer009IJfswrZVWtXrvfer009IJfswoNQNKUoFKUoG5PKpGdXZ56mlX0s77K9Uc6kZ1dnnqaVfSzvsr1B0OUpSgUpSgpmUfo1dvmL\/APDVXLVXUrlH6NXb5i\/\/AA1Vy1UClKUClKUCuhfq5fMo0r+jJHtj9c9FdC\/Vy+ZRpX9GSPbH6CSNKUoFKUoNNXXZ+\/8A4N6Hp9tkVrsrYn12fv8A+Deh6fbZFa7KBSlKBSlKCe\/Uw+dPe\/Q2b7VFrdjWk7qYfOnvfobN9qi1uxoFKUoFKUoFKUoLH1kGri8DnMaHmwN5fIWyzDkX0LVDjIUsB15SUeUpSW+IpTzBUE7gjcVgHQjRe9aeatG8Z9nl1zXUC4Dt7j22VMQ2IUVSF7vtWaKEIKSspTusL5rChwkVnjXHKLbh2ml2yC532\/2lEYN9jIsETwu4F8uJDTbLBQsOlStklBTsQTuQOYj\/AKIYvjuaaw2jpFZTZb+jI8gjORYlxj2RpiE++yyWHEyQpgz4DwQ2pJjvPqjkj8WpfkUEvaxFmuvdx08v10Zy\/TS6QcbgQ5Uti+C4xFiYGeySEIjhfaguOvNtI4gN1KG+wO9Zd+Csf55o\/a9SEZJEyi6yXYN9tUe2R2GkBBt5adU92zaufE4XexVzG34hA2I33Cp6cahxdQrfc3k2qVa7hY7pIs9zgSVJUuPKa2J2UklK0KQtC0qG26VjcA7gfBq6Wy4astMwLjGkuRLFJbkIZeStTK\/CWfJWAfJPI8j8Vf3pjp4NPbXcm5V5dvF3vtyevF3uC2UsiRLdCUkoaSSG20oQhCU7qISkbqUdyfxECDC1YZdhwmGFyLDJW8pptKS4rwlnmogczzPM0F50pSgUpSg5i9bvfnz70ouvtblWXV6a3e\/Pn3pRdfa3KsugUpSgUpSg3pdUJ5m9v9Ibn9dFTWqFPVCeZvb\/AEhuf10VNagUpSgVqf68n87aO\/Nr79aFW2CtT\/Xk\/nbR35tffrQqDVvSlKBSlKBUweqd89nE\/o27exO1D6pg9U757OJ\/Rt29idoN89KUoFKUoMe9InzftTvQ29exO1zM10zdInzftTvQ29exO1zM0ClKUClKUAd9dJvRG81nSP0Ks\/sjdc2Q766TeiN5rOkfoVZ\/ZG6DLdKUoFKUoIx9JTWrI9ML1FOS6+YjpHYpq1NWgysbfv8APuqm0gvOrQhaEx20lSQkALJ33KhuEjKWh+V5DqDp3FveQXu1X+HcmQ7bb\/aYrsFq6wlp8l4xnFFyM73hSOJQ\/JKVcyE4Q6dELUyXdcKXp9atUpCW2Lh4W9gcSG48glTHAl9cnuQdlEJHeU7nuFZ16PTN5j6K4cxkTN+auaLU0JSb8lAuIc57+EBHkhz4+HlQU+x9GPRXHMdn4paMTkN225PtSX0PXmdIcS42FBKmnXXlLZ5OOAhtSQQ4sHfiO9yr0m07cyKz5SrE7em4Y+w3GthQgoajIbStLXC0CG+JtLrqW1cPEhLrgSQFqBu+lB47wB7kTvmzv1TXjw79EbJ9Gxv4Sa9l4\/NE75s79U148O\/RGyfRsb+EmgrFKUoFa1eu996vTT0gl+zCtlVa1eu996vTT0gl+zCg1A0pSgUpSgVIzq7PPU0q+lnfZXqjnUjOrs89TSr6Wd9leoOhylKUClKUFMyj9Grt8xf\/AIaq5aq6lco\/Rq7fMX\/4aq5aqBSlKBSlKBXQv1cvmUaV\/Rkj2x+ueiuhfq5fMo0r+jJHtj9BJGlKUClKUGmrrs\/f\/wAG9D0+2yK12VsT67P3\/wDBvQ9PtsitdlApSlApSlBPfqYfOnvfobN9qi1uxrSd1MPnT3v0Nm+1Ra3Y0ClKUClKUClKUFuah4bE1Aw66YhPEMsXJgtKTNgNTY6j3gOsOgodRuBuk7EjuKTsRhzT\/EOlLYnYeAuHRrE8HtY7FmRisCYJpZSrfhaiO7MR1L3JJKnAkkkBffUg3iA0slRSOE8x3j9oqAugOdx5nSFsuJRM8lC1KvNyuEOO1gN1t8y7SlRVIcVNnS1KZKeBAWrsTs4tLaglIASAn22kobSgqKuEAbk7k\/41TJmU43bromxzr9Aj3FcVyamK5JQl0x29uN7gJ34E7jdXcPjqqVEjN9GtY75etULbZ3J4VlTk6VIkvJjCLPhpRGNuhsvbdsgjsnmFoUezAddVt5aSQlTZL7ZcltbF7x67RLlb5SeNiVEeS604N9t0qSSDzBH+Iqhv++pD9H5PtLFWxoFjF\/sVtyu8X2yLsYyjKJt8hWlxSS5DjOhtKQ4EEpS4stqdUkE7F07nfeqvDhXSJq52lwvSpzT9kkrjtGOhvwZHhLPkAp5r+DmefKgvulKUClKUHMXrd78+felF19rcqy6vTW7358+9KLr7W5Vl0ClKUClKUG9LqhPM3t\/pDc\/roqa1Qp6oTzN7f6Q3P66KmtQKUpQK1P8AXk\/nbR35tffrQq2wVqf68n87aO\/Nr79aFQat6UpQKUpQKmD1Tvns4n9G3b2J2ofVMHqnfPZxP6Nu3sTtBvnpSlApSlBj3pE+b9qd6G3r2J2uZmumbpE+b9qd6G3r2J2uZmgUpSgUpSgDvrpN6I3ms6R+hVn9kbrmyHfXSb0RvNZ0j9CrP7I3QZbpSlApSlBBrUeHeNV9XLrh0IZbpTglgva13jIbci4u3XKH+LicahLYSpMWPxbhToO5J2AGxFTC0\/k46\/h9pGKrmm1txENxPDg+JJaTuhJd8I\/HFR4Tzc8o9551jfVnBMOTksCWnXjLNNLtk8nwZmLZrwy2i6yENlR4Islt1vteBO6ltoSpQSniJ2FX5ppieO4zjyZNhv8AccgF3KZz15uM9UyRO4hulZcPII2PkoQEoSDslIoLu3Hx03Hx1G5d\/wBT73pzqJExbMY8q7WrPLjAjLuV3RbnVQGuB0xGJSGlJZc4SpKFqbVwp34t9t6oM3WDOvHuxmBcrzbEN3PEbXb7Hcgku3aDcWHFzXX0kbqdb4XD2iDskxFfAVghKS8fmid82d+qa8eHfojZPo2N\/CTX85ZOnQrJKchWd+4qW04lSGXG0FA4D5RK1JBH+HPnX9Yd+iNk+jY38JNBWKUpQK1q9d771emnpBL9mFbKq1q9d771emnpBL9mFBqBpSlApSlAqRnV2eeppV9LO+yvVHOpGdXZ56mlX0s77K9QdDlKUoFKUoKZlH6NXb5i\/wDw1Vy1V1K5R+jV2+Yv\/wANVctVApSlApSlAroX6uXzKNK\/oyR7Y\/XPRXQv1cvmUaV\/Rkj2x+gkjSlKBSlKDTV12fv\/AODeh6fbZFa7K2J9dn7\/APg3oen22RULcT07xLJ8DyG\/uZ1IiZBY4arkLX7kqXGVGS800e0ldoOBxRdBQgNqB22Kkk8gx9SpFwOjJp5f8eGb43q1d3sbhW73Ru0mdjSY0hhty4NW+OWWUynO1Dkl1W5UpHChlZ2J2SbfsvRoun+kHP8ABMpu7zb+ncwQLimzQ\/DpD7hmJihxloqQSylSgtaiQQnblueQYUpVZzTF5uD5jfcKuTrTsywXOVa5C2juhTrDqm1FP7CUnb9lUagnv1MPnT3v0Nm+1Ra3Y1pO6mHzp736GzfaotbsaBSlKBSlKBSlKD+HduyXuSBwncjvH+Fa0sHyfNcX1Vt+T4np5neodyVOmiw267642yWw+8W3tnhAKkraX2Id2S4kcAUUkBWwGy10kNqI33APcOdQg6Leodhl63TsVu\/R8xlGqDUu4DJMviT7CLk3FcdccaXIjxFmQklHYNrGxIVt2it+8JtwXpEiFHflx\/B33GkrcZ4uLs1kAlO\/w7Hcb\/sr7cqfBUZNZc41c0\/vmeZHBmC5QjZHVWA22eXGbUlpcdEhcyIUf26O2deS6FlJSjhUhO26gk5VqP8AvqQ\/R+T7SxVq9H\/Jb1f7XlkC5X16+wsfymdZ7XdXilTkuK2lsjjWkAOKbcW40V957PnuoE1XY02bK1aS3KtL8NDFjkoacccbUH0+Es+UkJUSB\/72x50F8UpSgUpSg5i9bvfnz70ouvtblWXV6a2+\/Pn3pRdfa3KqWMaH5NleEnObfNhNxFuS2WEOlY7R2OGeJoucPA24vt0dmhRBWQdvg3DHNKv3UbR+96cR25U65wbg17rT7C+YocBYuEMt9uypK0pJ5OtkKG6SFd+4IH86uaSXrRu9w8ZyWWlV1ehNy5EYRJDPg3GNwnidQlLwPwONFaD8CjQWJSlKDel1Qnmb2\/0huf10VNaoU9UJ5m9v9Ibn9dFTWoFKUoFan+vJ\/O2jvza+\/WhVtgrU\/wBeT+dtHfm19+tCoNW9Nj8VXto9Y8RyHM02zM7nDhxVQZjkXw2T4NGkTUMLVGYee3HZNrdCEqXunYH8pO\/EMr5notg2P2PWUm1yGbthsHGrjbwi5B5uE5OcjplRVbAh7gL6khZVuOAd5JNBHKlSJ0u0VwrLNAL5nE2y3mTf4zV8eYSh3slvJhRWHW3IKD5EhtlTqlTAfLQ0pCmxuFER2oFTB6p3z2cT+jbt7E7UPqmD1Tvns4n9G3b2J2g3z0pSgUpSgx70ifN+1O9Db17E7XMzXTN0ifN+1O9Db17E7XM0nmaD8pUvXEWiVpzgk3EcWUMpmu2p7HsfNlhyZzDMGC8LtObQsq7ZqQ52bzYeQAtxCuEK7MqNNm2Czs9KPIcituKoyLGrlMkWq3y8fszHZ2u7SrcVsuCHx9gXoriitxAUGuNlwpKQBsEVKVk7pIO4cvVy6tYQ\/Gkw40eDFly4qEIjy7i1EaRNfaSglIQuSl5Q4SUnfcciKxjQB310m9EbzWdI\/Qqz+yN1zZDvrpN6I3ms6R+hVn9kboMt0pSgUpSgiH08ncojycLfwyLkMe6JMtXunZcst1neZQlTR7PhmoUHOJWxCkbKRwnn5W1Zo6LUm2TOj1gMmz2t63RF2RgtxX7mm4utnnxdpJSAHllW5UsAAqJ2A7qwj0\/bdj0heHzsnteBCEwmY2LlmOG3G\/xmlrU1sy34CeJlatt91jZQTsDuKyf0R4mrzGm0SVqRJxJu0SYUM41bLBYJFoFuiBCgW3WH1FaSR2ZSDsQAdwDQZVGA4MGHIow6ydi9N90nG\/AGuFcv\/aCOHYu8z5f5X7aqDtksz91Yvj1qhuXGK0pliYthJeabV+UlK9uJIPwgHavdSg8d4\/NE75s79U148O\/RGyfRsb+EmvZePzRO+bO\/VNePDv0Rsn0bG\/hJoKxSlKBWtXrvfer009IJfswrZVWtXrvfer009IJfswoNQNKuXCNNs41HlvwMIxyVd5EdAUttjh33O\/ClPERxLVseFA3UrY7A7V8XcCy9nHrTlbthkptF8nPWy3yyAG5Eprg7RpJ3\/KT2re4O35QoKBSqvecSyXHsolYVebLKjX2FMMB+AUcTyJAVwlrhG+6uLlsN9zX85Ni98w+7u2HI4PgdwjgdtHLiFqaJH5KuEnhUPhSeYPIgGgpVSM6uzz1NKvpZ32V6o51Izq7PPU0q+lnfZXqDocpSlApSlBTMo\/Rq7fMX\/wCGquW6NGkTJDUSIyt599aW220JKlLWo7BIA7ySdtq6kco\/Rq7fMX\/4aq5drL2XuxB7e6G2teEN8c1KVKMZPEN3AE+UeEc9hz5cqDIZ6MevIy1OC\/6M7qb6u3+6jcMdmVOxuMo40KCuFZ7RKkcKSVcYKduIEVZxwXK0YtIzZ+zPx7JGne5i5b5S0lUvbiLKAohTi0p2KgkEpBBVtuN5EM5vonh+pOF3ew6qw8kxnALelcOHcsZnJ8JUZKnHm07KSpMtZW48lzdDbauzAWCjirz5Pq3ojqFphYsJuIZsiYkZm0RG3bU7IlWSQbo7JkXYykHikNuRnlIWzzWpwDyRwJWQwKvTrMm8Fb1Kcsq0Y27MMBqat5tIcfHelCCrjUBsQVBPDuCN9wats1mLKs7sR0Wg6eScwiZg9Geacsv\/AIKciyMcQl14vtdstALrTwcCw2FKSFKKiEqB4sOnvoFdC\/Vy+ZRpX9GSPbH656K6F+rl8yjSv6Mke2P0EkaUpQKUpQaauuz9\/wDwb0PT7bIqFto1Xi2nTG4aajT3HpKri8qQ5eXVyxMDm3Cg7IeDS+zSVcAW2oJKlKA4jvU0uuz9\/wDwb0PT7bIrXZQZTxXpDZjitxeejQbTMtUqyQrBIssuOpyE7GivNyGd08XFxCS0l8qCgSpSwfJUUn+IOvl\/iZo5qdIsFpm5o8\/LnvXuQXy49PffLxlOMpcDKlIJISjg7LbbdCtqxfSg+06bKuM1+4TpDj8mU6p551xW6nHFHdSifhJJJr40pQT36mHzp736Gzfaotbsa0ndTD50979DZvtUWt2NApSlApSlApSlBjnXzVyHolp1Izy4R7e5FZmw4Ty7hcTBjMIkPpaU848ltxSUoCyrZKFEkADbfcRb6PuR6H3bXO1QMa6TmC5Y01Iddxyx2bE2Il1UvsHeLwqehIU8lKFL3PCgrISVkncGU2u8DAJ2AOHUzMUYvYok+FMcuTjsdttDrT6VtoX4QhbSkrUAkpUk7hRA2OxFuYJqB0S8jym3WrTzI9NZ+SFS3ITdpMQyypKFcSkdmOL8gq32+AmgzPVMj41jsSVcJ0Ww29mRdtvD3W4yErl7Db8aQN18uXlb8qqVYx1A19xPTq9XG03mJOcbtdikXp+UylJaK23WWkxEEnyn1qkNbJ5AcaNyOIUGRbZarZZYLNss9vjQYcdPAzHjNJbbbT8SUpAAH+FW8\/76kP0fk+0sV8dM9Q2dQ7Xcn3LRItNysdzkWe6W99aXFR5TOxPCtPJaFIWhaVct0rG4SdwPjHvFpumrSI9uucWU7CsclqShl5K1Mr8JZ8lYB3SeR5H4qC96UpQKUpQcxetvvz596UXX2tyrlwvXhWHaXXXTZnF0PC6tTmZD4l8DMhMhDQQuQwUHtXY6muNhziSW1KJAO5BtrW7358+9KLr7W5Vl0GWNQNc0ajRLfZchsVxftNkiSBbUO3pb0tU99xtTs2XIW2VSFqQ2G+EBACUt7bcJ4re1E1JVmlusONW+BJg2DFmpDFpjTJvhshlt93tVoU\/wI4khX5KQkJTuSBupRNkUoFKUoN6XVCeZvb\/SG5\/XRU1qhT1Qnmb2\/wBIbn9dFTWoFKUoFan+vJ\/O2jvza+\/WhVtgrU\/15P520d+bX360Kg1lY1kt6xC8sZBj0tMW4ReIsvFlDhbJBHEkLBAUN+SttwdiCCAaq8TVHPodpyext5LJciZmW1X8PpQ85cFNudqhTjjgK9w55W4UDvzq1aUF+y9d9WptsudlfzSWIN3W45KYbaabTxONIZdLfCkdj2jTbaHA3w9olIC+IVYVKUCpg9U757OJ\/Rt29idqH1TB6p3z2cT+jbt7E7Qb56UpQKUpQY96RPm\/aneht69idrmZB27q6ZukT5v2p3obevYna5maD++2dCgsOK4k7bHfmNu6iXnU78CynfffY7d\/I1\/FKAST30pSgDvrpN6I3ms6R+hVn9kbrmyHfXSb0RvNZ0j9CrP7I3QZbpSlApSlBFDpqar6qaM5Lg+ZaVuxJsosXGFKs8m2XS5JkNuKjntzGgqAHZlH9o4dxxlKd+I1nzRvJb5mOl2MZVks60zbndrazLlP2ll5mItaxv8Ai23\/AMa2NiBwOeWkghXMGoi68akozDKrvjeXY50kGJmPXuTHtV60wxydCaMHdIVHVLacUJaSpAUVbJCVjYAFJJlnodKsU3STFZGNWW+Wi1qtrSY0K+BYuLSRuNpXGSsvkglZUSoqJJO5NBfO+3fT9lQ4Vcbf7g3iC\/cpr+DRtZLu3lKkSZDymreqI8tsFe5cDRmFnbgOwUUhPLlVLxh7Wk5Jp+3nRyBOeJViQtyT2u67V4O77tGWE+R3lwPFzn2gi7+V2VBNC8fmid82d+qa8eHfojZPo2N\/CTXxzFzIG7HJOPRbe+8W3A6Jr62kBvgVuQUIUSrfbltt+2vth36I2T6Ojfwk0FYpSlArWr13vvV6aekEv2YVsqrWr13vvV6aekEv2YUGtPQO9YVjOSLyjLs5n4\/KsxRMsiWLSue0ueCQh5xCXEbdkCpaeZ3WEg+TxVWLtnuDS9BcP04Yv0x272jO7tf5inoKgnwOWzCaQsqCjxODwNSlJG\/5aQCSDWFd6bmgkonWDTC0dK66dIOJeJk6CMnXc7dGNp\/GJafbd\/rJC1cIcjOKaWGzuFlPJSdt6xVrTkmD5Pklul4NaWIjcazxIlzkx4vgrNyuCAQ9LRHHJkL3QOHluUFWwKiBYG5+OlAqRnV2eeppV9LO+yvVHOpGdXZ56mlX0s77K9QdDlKUoFKUoKZlH6NXb5i\/\/DVXLVXUrlH6NXb5i\/8Aw1Vy1UClKUClKUCuhfq5fMo0r+jJHtj9c9FdC\/Vy+ZRpX9GSPbH6CSNKUoFKUoNNXXZ+\/wD4N6Hp9tkVrsrYn12fv\/4N6Hp9tkVrsoFKUoFKUoJ79TD50979DZvtUWt2NaTuph86e9+hs32qLW7GgUpSgUpSgUpSgpGU4ti+Y2Z2x5hj9tvVrcUl1yJcYqJLClIIUlRbWCklJAI5ciAahD0fMFw6x632HIG84tzNnVerjAxW0Iwuy225PqEVxaXHZcZSpDzCmlOnfgbJUlJc4SQFTruM2NAhuSZUpqOhICQ464EJClHZI3Vy3JIA\/aahFopg+S4t0gLHlE7CsFVcsglylXTJbCm3RbiptbLinItxggudmvtUpPhENwdqUhTqfKISE5iNxtWIs26NGG5xeLjc7jdry0zdLXOt70VM51xpDsmQxIEltDilIQtDsdCkgJ4d+8cgKy7VDZzrC5N7umNRsssz13sbKJNzgNzmlSITKwSlx5sK4m0kAkFQAIoKZppp23p7bbmh+8vXe6325v3i6z3WkteESnQkHgbTybbShCEJTuSEpG6lHckY0djVaMphhtsu2CSpZSkAqPhLPM7d5q4LFf7Lk9qj3zHbrEuVulo42JUR5LrTqd9t0qSSDzBH+IqiPe+pD9H5PtLFBddKUoFKUoOYvW7358+9KLr7W5Vl1emt3vz596UXX2tyrLoFKUoFKUoN6XVCeZvb\/SG5\/XRU1qhT1Qnmb2\/0huf10VNagUpSgVqf68n87aO\/Nr79aFW2CtT\/AF5P520d+bX360Kg1b0pSgUpSgVMHqnfPZxP6Nu3sTtQ+qYPVO+ezif0bdvYnaDfPSlKBSlKDHvSJ837U70NvXsTtczNdM3SJ837U70NvXsTtczNApSlApSlAHfXSb0RvNZ0j9CrP7I3XNkO+uk3ojeazpH6FWf2Rugy3SlKBSlKCl2bGbHj0i4ybNb0RV3WSZkvgUrhdfP5S+EnYE\/DsBueZ51U9gO4V+0oPzYfFTYfFX7Sg8d4\/NE75s79U148O\/RGyfRsb+EmvZePzRO+bO\/VNePDv0Rsn0bG\/hJoKxSlKBWtXrvfer009IJfswrZVWtXrvfer009IJfswoNQNKUoFKUoFSM6uzz1NKvpZ32V6o51Izq7PPU0q+lnfZXqDocpSlApSlBTMo\/Rq7fMX\/4aq5aq6lco\/Rq7fMX\/AOGquWqgUpSgUpSgV0L9XL5lGlf0ZI9sfrnoroX6uXzKNK\/oyR7Y\/QSRpSlApSlBpq67P3\/8G9D0+2yK12VsT67P3\/8ABvQ9PtsitdlApSlApSlBPfqYfOnvfobN9qi1uxrSd1MPnT3v0Nm+1Ra3Y0ClKUClKUClKUGOte8LyjP9N5uNYdb8NmXR6RFeaby6G5KtiQ08lwrW02QpSk8PEjYjZQSag90XrzhErpM2WyW5zo9v32PLnCQ7iGCXaHcVqbZcDqmproLJG5BUonZQPI7kb7I3QC2oFAUCk7pPw\/sqBuhupzmWdILH7MqTg0RmDc7ihi1w9UnrhdI4S2+gNO29KA2stp3SlIUUtpPLi4UlIT0+Co1a06T57qXfMtdwy3SLU29j0i0uJuMaI0ia+JMd9BiPtbu8EhDbrT3bHbYNeSNjvJUd1OJI+EUGMNB8VyDHoGWXW\/2b3GGUZRNvkO1FxClw47qW0pC+DdCXFltTqkpJ2Lh3JO9VSDb7pC1cLtwvz1wakWSSuO0thtsRUeEs+QkoAKhzHNW55VfYIPcatV\/31Ifo\/J9pYoLrpSlApSlBzF63e\/Pn3pRdfa3Ksur01u9+fPvSi6+1uVZdApSlApSlBvS6oTzN7f6Q3P66KmtUKeqE8ze3+kNz+uiprUClKUCtT\/Xk\/nbR35tffrQq2wVqf68n87aO\/Nr79aFQat6UpQKUpQKmD1Tvns4n9G3b2J2ofVMHqnfPZxP6Nu3sTtBvnpSlApSlBj3pE+b9qd6G3r2J2uZmumbpE+b9qd6G3r2J2uZmgUpSgUpSgDvrpN6I3ms6R+hVn9kbrmyHfXSb0RvNZ0j9CrP7I3QZbpSlApSlApSlB8332IzSnpDyGm0DiUtaglKR8ZJ5Cv5bmw3S2GpTKy8njbCVg8afjHxjmOf7asbXGw2\/KNOrjjl0uVzgxbitllx6BZ03RX9okhLkVbTqHWlEBKwtBSUk77d9R8awTVNvNsZbuGJqjXmPccTds8mzQVR7dabXGaeTc2SU+QwhW7oLBJKi+yAFcIKQltePzRO+bO\/VNePDv0Rsn0bG\/hJr55fGvUmxSUWW6sQXUtLU4t6L24UjgO6QONOx7ue5\/wAK+mH\/AKI2T6Ojfwk0FYpSlArWr13vvV6aekEv2YVsqrWr13vvV6aekEv2YUGoGlKUClKUCpGdXZ56mlX0s77K9Uc6kZ1dnnqaVfSzvsr1B0OUpSgUpSgpmUfo1dvmL\/8ADVXLVXUrlH6NXb5i\/wDw1Vy1UClKUClKUCuhfq5fMo0r+jJHtj9c9FdC\/Vy+ZRpX9GSPbH6CSNKUoFKUoNNXXZ+\/\/g3oen22RWuytifXZ+\/\/AIN6Hp9tkVrsoFKUoFKUoJ79TD50979DZvtUWt2NaTupi86e9+hs32qLW7GgUpSgUpSgUpSg\/h4btLHLmk943FQa6LGKY9IzTH8ohdIvA5LzFzuccYYcTskO7oU05JaLYejPreSRwlYIBJb\/ACttzU5XQVNrQkJJKSAFdx\/x\/ZUHtA9N73aOkgq7L02zSBMjyJCrsq74NZoGPQUdmtKV2ubHHbLVuUpQUkqWhai9svuCcfcKjFrHqBl+G3zNbvp7qYu8ybVZXzcrI44w6i3PLejhlcdlA7RK48dUh90q3BBbKuRAEnfgqksYjika5SbzGxm1NXCYFJkS0Q20vPBX5QWsDiVvtz3POgsLQDJL1frblkK43t6+QbBlE20Wm6vlKnJcRtLZ8pxIAcKHFutcYHPs+e5BJrcWdOmathuXZn4SGLHJQy4462oSE+Es+WkIUSkd3JQB51eMC3wbXEagWyGxEisJ4GmGGwhtCfiSkcgP8Ktx\/wB9SH6PyfaWKC66UpQKUpQcxet3vz596UXX2tyrLq9Nbvfnz70ouvtblWXQKUpQKUpQb0uqE8ze3+kNz+uiprVCnqhPM3t\/pDc\/roqa1ApSlArU\/wBeT+dtHfm19+tCrbBWp\/ryfzto782vv1oVBq3pSlApSlAqYPVO+ezif0bdvYnah9Uweqd89nE\/o27exO0G+elKUClKUGPekT5v2p3obevYna5ma6ZukT5v2p3obevYna5maBSlKBSlKAO+uk3ojeazpH6FWf2RuubId9dJvRG81nSP0Ks\/sjdBlulKUClKUClKUH5tTYV+0oPHePzRO+bO\/VNePDv0Rsn0bG\/hJr2Xj80Tvmzv1TXjw79EbJ9Gxv4SaCsV+E7V5rndLfZoL1zusxqLFjp4nHXVcKUj\/wDfLb4atJLeQagLQ694XZMaKSQzzanXEHu49\/Kjtbb+TycVuN+AAgh6pmVXG9T3bNgzTD645KJd0kAqhxVg7FsBJBed7\/JSQlO3lKB2B129dDDyWLpZpx7vXyJcAcgl8HYQSwU\/1Yd541b\/APd31s1ttst9ogMWy1wmIkSK2GmGGWwhDaB3JSkcgK1v9d6R\/os00H\/tBL9mFBqBpSlApSlAqQ3V8IludMrS5ECQ2xIN2d4HHGu0Sn+rPb7p3G\/Lf4RUfGWXZDqGWG1uOOKCUIQN1KJ7gB8JrY11fPQJ1Tazew64Za7Ixxy17y7VC24ZCVLQUhx\/f+zHCo7N\/lHccXCORDbALPqR8ObWr1Kfvqe4+o\/67Wr1Kfvqrdktr9rgNxZNxkTXUjynn18SlGqhQWp7j6j\/AK7Wr1Kfvqe4+o\/67Wr1KfvquulBYmRWnUJOP3RT2Z2taBCf3SLMRv8Ai1f\/AI1cyR2+AV1K5Ryxm7\/MZH8NVctVApSlApSlAHfW\/jq+rdmsjoaaXOWnKLdEjG2SOBpy1l1Q\/rj\/AHq7Ub\/9QrTJ0f8AoxandIi+eAYbbCzbGHEomXaQkiOxv\/dT8LjnxITufhOw51vg6Mmhtz0R01sGBu5NcZNvsUTwaLHdcHwqUtSlAcgStajt8A2HPbegyB7j6j\/rtavUp++p7j6j\/rtavUp++q66UFqe4+o\/67Wr1Kfvqe4+o\/67Wr1KfvquulBpa65mNe4uuuEN326x57xxEFK2IvYAJ8MkciOJW\/8AjvWvytifXZ7f6f8ABvQ9PtsitdlApSlApSvdY7Decmu0axY9a5VxuM1wNR4sZouOOrPcEpHM0E3Op4Yu8npOXtuy3FiFI8T5p7R6N26dvCY3Lh4k899jvv8ABW5P3H1H\/Xa1epT99WvTq7ugvqLpLdXtT8hv71rvlxgm3rjw3EluLHWtK1oUsEh1wlCPyfJTseaieWy6BFVDiojrkuvqQAC46riUo\/GTQW57j6j\/AK7Wr1Kfvqe4+o\/67Wr1KfvquonYE1ZkrJLvlrz1pwNfYx2nOxl3x1sllrb8pMZJGz7m3LiH4tJ7yogooKTfLtntsmt2S35ZbrneXwFNwWLQApCCdu1dUXtmmxz3UeZ2ISFK2Sb5sDN7YtMZvI5sWXcQn+sOxWVNMlW\/91KlKIA7uZ59\/wCyvnYMateOMOt29pSnZK+1lSXlcb8pzYDjdWeajsAPiAAAAGwqq0ClKUGLeklkLOK6Vzr8dN7tncuLKiqgWK2KWl6RLLyQySpBBCEqIUo7HyUnke6sQdGzCjj+YLz3VfLr7dc6yOQWIVmt8K7R8dx9otqPg8dt1CW1nhQQqQ9upSh5JBUeKWGwpsB3DagViPPdfomneSZraL9Y1KiYpjNtyFh9iRxLmLmSpEVuPwFIDai6wlIVxEbOAnbY1l2sa5ToNieaZRk2SZLcbnMRlVgiY7Kt5U0mOzHjPuvsuNEIDiXUuvOL4isjfh2A4aCqaW6hP59CvTVzs\/uXd8bu79kucZD4eaD7SULC2nNgVNrbcbUNwFDiIIBFfke8Wm6atIj225xZTsKxyWpKGXkrUyvwlnyVgHdJ5Hkfir34Dp\/atPrdNh2+bOnybpOeudxnznErkTJbu3E4spSlI5JSkJSkJSlKQByr4KjR2NVoymGG21O2CSpZQgAqPhLPM7d5oLvpX4eXOrbvmXqjTzjuO283a9lAcUwlfAzFQe5b7uxDY+JPNaufCkgEgKjf8itWNxBLuj6k9ors2Wm0Fx19wjcIbQndS1HbuA\/b3VRYqNR7uUXJc622NhwhSIDsMynkI79nXA4lPH8YRuB\/rK769OPYem3y036\/TlXe\/KbLaprqAlLKVbFTcdHc02SByG6jsOJSiN6uSg5itaEup1hzpL7gccGS3QLWE8IUrwpzcgc9v8Ks2r01tO+s2fH\/ANp7r7W5Vl0ClKUClKyPoloDqRr5k7eOYFZXHkBQ8LnupKYsRG\/ete3M8+SBupXwCg24dU9Ay6V0QLeuyZHBgsDILn+LetxeUTxI\/vdon9vwVMb3H1H\/AF2tXqU\/fVhzoc9Gi59HXS62YOvKbjIjR3HJbjalcAdkOkFxfAPyU7gAJ3OwHMkk1I0DblQWr7j6j\/rtavUp++p7j6j\/AK7Wr1KfvquulBanuPqP+u1q9Sn76tXHXWxcgi3LSFN\/vEWetUe+dmWIXg\/D5cPffy1b78vi22\/bW3KtT\/Xk\/nbR35tffrQqDVvSlKBSlKBUt+qvauL\/AEzMWatU1mJJNtu3C66x2yR\/Unf7vEn\/APWonwYM25y2YFuiPSpMhYbaZZbK3HFHkEpSOZJ+IVtA6vDoG6oYVmELWjK7k9YrozFdahwmSOOMh9soWX1f6\/AogNp7ifKO44aDZsLPqP8Arta\/Up++p7j6j\/rtavUp++qv2qC5boTcV2a\/KWgbKdeVxKUfjr2UFqe4+o\/67Wr1Kfvqe4+o\/wCu1q9Sn76rrpQYX1\/tWft6Dakrl5hbHmU4heStCbQUlSfAndwD2p2\/x2Nc35\/ZXTL0iuXR91O9Db17E7XM1QKUpQKUoKAO+uiroq2zO3ujJpO5Ayy2x2DhtoKG12krUlPgrewKu1G5A2G+w7q0kdG7oi6m9Iy6trskNdux5DwakXZ9slKjvzQyjkXVj4dvJTuOIjcb75dDNK7ppfhNkxSXkNwkQ7Hbo9tgxnn+Ps2GUBCAojYFWwG+w2oLl9x9R\/12tXqU\/fU9x9R\/12tXqU\/fVddUfIsptuNR2nJvavSJKw1Ehx0Fx+S4f7qEDmf2k7JSNyogAmgo0yJnlviuzp2f2aPHYQXHXXLRwoQkDcqJL2wAHw14sMuGf3y6C4SbnEcx1sKSlx21qjPTVbcltDtSUND\/AFlpBVtyG2yj7IeM3TJpQu2dpR2SHEOxLIhwOR45SQUreOwDzvEN\/wDUTsOEEjjN47Cg\/aUpQKo0vMMXgZJCw+bkFvYvdxZW\/Et7khKX32078SkIJ3Vtso8vgSo\/3TtWDUcdQdJc+vus6ptvtvhdru+RY3kKby48hKLOxa0OpfjJBPGXHVEBASOEiU8VEcJ4gkHeCPcidz\/8md+qatiDllvx\/FMdhdk9OuUu2x\/BbdEAXIfAaTuoJJASgbjdaiEjcbnmAavltgl5DaXIUK+3G1ueUQ5CU2lTnkkcCi4hY4Tvz2G\/Lvq0cM0wyTHLZHcGcSG7m9GaTNeXBjvOFSUj8X2hTuUI\/JSBsAAOW+5oK7asWuF0lxshzh5uRPYUXYsBlRMSASNhwjl2rgHLtVDlueEJBq7ANhtVr+LeZ\/KNJ9WRvs08W8z+UaT6sjfZoLmd7TgPZBJXty4u7eoc9NLoW6ndL+2WS0SdRbNj7FhnPTGAuI4+FhxsI4dklOxG2++576lB4t5n8o0n1ZG+zTxbzP5RpPqyN9mg1Z\/gP8\/+X3HvUr\/3lPwH+f8Ay+496lf+8raZ4t5n8o0n1ZG+zTxbzP5RpPqyN9mg1Z\/gP8\/+X3HvUr\/3lPwH+f8Ay+4\/6lf+8raZ4t5n8o0n1ZG+zTxbzP5RpPqyN9mgh50WuqzwTQu5N5Vm9+j5bkbRV2MrwXgZjA93YtqJ4V7f8oSVcztw\/DOK22yDaIjcG3xkMstjZKUjb\/rqgeLeZ\/KNJ9WRvs08W8z+UaT6sjfZoLppVks2HUhV2ksv52pNvQy0qO8m3xy4t0lfaJUnh2AADex+HiPxV7fFvM\/lGk+rI32aC6aVa3i3mfyjSfVkb7NPFvM\/lGk+rI32aDz6iWbNchs8qzYtcIUFMxhxhx57cqAUkp3Gw\/bWrv8AAf598GvuPepX\/vK2meLeZ\/KNJ9WRvs08W8z+UaT6sjfZoNWf4D\/P\/l9x71K\/95T8B\/n\/AMvuPepX\/vK2meLeZ\/KNJ9WRvs08W8z+UaT6sjfZoNWf4D\/P\/l9x71K\/95VewjqTJtuySJNz7WSBdrK0rifhQLe7Hdf27k9opZ4U\/HsN9u4jvGy7xbzP5RpPqyN9mni3mfyjSfVkb7NBSNKdE8E0hsUOw4lZosViE0lplLLIQhtI\/wBVI+EnmSdyTuSSTV\/1a\/i3mfyjSfVkb7NeO7WHUhmHx2bPFSJXatJ4HrfHQjsy4kOHcJ7wjiIHwkCgvWlWt4t5n8o0n1ZG+zTxbzP5RpPqyN9mgumvhMMoR1+BBsvbeR2h2Tv+2rd8W8z+UaT6sjfZp4t5n8o0n1ZG+zQQr6YHVz6m9LTP7Znc\/VeyWRdttvuaiO5Adf3QHnHAQUqTt\/aEbbfBWB\/wH2f\/AC+Y\/wCpX\/vK2meLeZ\/KNJ9WRvs08W8z+UaT6sjfZoNWf4D\/AD\/5fce9Sv8A3lPwH+f\/AC+496lf+8raZ4t5n8o0n1ZG+zTxbzP5RpPqyN9mg1Z\/gP8AP\/l8x71K\/wDeVLnot9XTpp0dY6Z8mSi+391oNy7mtrZbnwqQ3v8A2TZP91PM7DiJ2qSfi3mfyjSfVkb7NPFvM\/lGk+rI32aC44sWPCYRGitIaabGyUpGwArzXq+WnHre5dbzPZiRWtgXHFbAqJ2SkfCpRJACRuSSAASaovi3mfyjSfVkb7NeTGcOuSrm9fs3mG63KLJcatql8IaYjg+Q4hpICEuqH5StuLuAIHKg\/Dbr1nynPd+PKtOPLACLaVcEmanvJkFJ3bQe7sgdyN+MjfgF4R4zERhuNFZbZZaSENttpCUoSO4ADkAPir60oFKUoFKUoFKUoFfGZLjQIr02Y+2xHjoU6664oJQ2hI3UpRPIAAEk19qx\/r3hd+1D0gyfDsZkhm53GIBHClcKXihxLhYUfgS6EFsnuAWdwe6gu7HcksOW2iPf8Zu8S522WkqYlRXQ42sAkHZQ5bgggjvBBB5iqJKcba1RiuurShCMelFSlHYAeEM8yatzQbFchx+25Veshs3uIvK8mm32NaVOIWuDHdS2hCXOAlAcX2ZdWlJICnCNydzX85LpPfMgzdu5O5hcl2hyJID7EhMd1sOF1tTbAb7MFTWwUohRPNCN9xuCFe937vm7yGMNf8Esm5D97KArtx3cMMHkrfn+OI4R\/dC99xcVhx61Y1ATbrTHLbYUVrWtZcdecPNTji1bqWsnmVKJJqjIxjMGkJbb1DfQhICUpFrjAADuAHDX9eLeZ\/KNJ9WRvs0F01buXxswmRAxikuHGcKgVOPk77fs2Br4eLeZ\/KNJ9WRvs08W8z+UaT6sjfZoNY+VdS1qBk2T3fJFa72Fo3afInFCrO8pSC64pexPacyOLvql\/gP8\/wDl9x71K\/8AeVtM8W8z+UaT6sjfZp4t5n8o0n1ZG+zQas\/wH+f\/AC+496lf+8p+A\/z\/AOX3HvUr\/wB5W0zxbzP5RpPqyN9mni3mfyjSfVkb7NBrHxjqRr3Gv0ORl2t9tmWhtwKlR4NrcZfdQP7qVqWoJ3PInY7DetiGinR1030LxqFjWGWSNHYhJ2Rwt7eUfylkncrWT3rUSo1dHi3mfyjSfVkb7NPFvM\/lGk+rI32aC6aVZd2sGozFrlO2bPVyJ6GVGM09b46G1ubeSlRCdwCdtzXrGOZpt740n1ZG+zQXTSrW8W8z+UaT6sjfZp4t5n8o0n1ZG+zQXLIL4ZX4MEl3byeI8t\/21CDpo9ArU3pg3nG7nM1OslgRjbcxpptcJx8LS+po8uEp4duyHx77\/sqXXi3mfyjSfVkb7NPFvM\/lGk+rI32aDVn+A\/z\/AOX3HvUr\/wB5T8B\/n\/y+496lf+8raZ4t5n8o0n1ZG+zTxbzP5RpPqyN9mg1Z\/gP8\/wDl9x71K\/8AeU\/Af5+P\/wCPuPepX\/vK2meLeZ\/KNJ9WRvs08W8z+UaT6sjfZoIp9FbqztPej44m\/ZDdmsmyZSOBy4mPwBsE80sIVv2QI5FQJURuNwDtUzYECHbYrcODHQyy2AlKEDYAVb3i3mfyjSfVkb7NPFvM\/lGk+rI32aC6aVZUKw6jrlzm5+eKajtvJTDW3b46lOt9mklSxw8jxlY2HwAV7PFvM\/lGk+rI32aC6aVa3i3mfyjSfVkb7NPFvM\/lGk+rI32aC39b8HzjUrBb\/gOO3iBa42QWqXa3pLyVLUhL7KmyrhHeBxb7bjetaf4D\/Pz36+Y96lf+8raZ4t5n8o0n1ZG+zTxbzP5RpPqyN9mg1Z\/gP8\/+X3HvUr\/3lPwH+f8Ay+496lf+8raZ4t5n8o0n1ZG+zTxbzP5RpPqyN9mg1Z\/gP8\/+X3HvUr\/3lXVpt1KqLJlEe5alarwb\/aGCFKt8GC7GLyt+5aysng+MJ2J+MVsi8W8z+UaT6sjfZp4t5n8o0n1ZG+zQebTrSnD9MrPGtGNWqNHaitJZaDTKW0NoSNglCEjZKR8Qq8atfxbzP5RpPqyN9mqdecY1BfRGiRc+luR5EhLU5TcWOw63GKVcamlhO4XuEgEd25I5gGg995y95+c\/jWHMM3K8slKZCir+rW\/fYhUhQ7lbHcNDy1cvyUniHssGIxbRJdvM2Qu5XmUhKJFwfTsspH\/Jtp7mm9+YQnl8J3POqhZbJa7BAattohoix2t9kJ+EnvUonmpRPMqJJJ7zXvoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKh10ls91lb6SkfTnT\/JtR41rRp+m++A4Vb7XJfVNM95kOO+HJPkcKUJ2Sd9wOXeazH0Q9RMj1U6OuF5tmV9i3fIZsJSLtIYjeD8MpDikLbcb2SEOo4QlYACeMK4fJ2oMxUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUpSgUry3N1xi2y32lcK22HFpPxEJJBqAmnGqnSGsmhumXSbvWu12yZrJMtYsV5xO5WuAmNIjP3Z2CPBXWWUPIdQlKXBupQVsoEAUGwWlKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUClKUGJ9T+jFpZq5mUfPsrRkTF8jWwWdEq0ZDNtpVEDq3Q2oR3EBQ41qPP9nxCr20\/0+w7S3ErfguA2Jm0WO2IKI0VpSl8O5KlKUtZK1qUokqUolSiSSSTVxUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoFKUoPm+y3JYcjvDdDqChQ323BGxrBmAdCXo9ab3u1X6wY3d33rFJVNtUe5X+dMiQJKlKUXmYzrpZS5utRCuHcFRI2J3rO9KBSlKBSlKBSlKBSlfhOw3oP2rSzPVbAcAnQbVlGQtx7jc0uORILTS35LzaNuNxLTSVL4E7gFe3CCQN9yKxvqj0joUC6zsA0zuVpkZBEUuPcrpOdAt9kcAHkrG4MmR5W4YbPLb8apsEcWL7Q\/jdqkSrk9mDF0vFxS2m43e4XJlyZNKN+HjUCEoQCVFLTaUtp3PCkEkkM+f0htLv953X1HO+6p\/SG0u\/3ndfUc77qsK+Mli\/WO2f55r7VPGSxfrHbP8APNfaoM1f0htLv953X1HO+6r+m+kFpi6tLTVwuylqOwSLFOJJ\/dVge7Z3h1ht711vOX2uLDj7do4ZSXDuSAlKUIJWtRJACEgqUSAASaxnfLtkmqQLV4ZnWDDnW3GzZHCG513SrkFTVpJLDBTvtGQQpQV+NUP7MBOPTrU3BdWceVlWnmRxr1akynoSpLHEEpfaOziCFAHcGrorAHQyYjxMCyqJEjtMMMZdLaZaaQEIbQmNGCUpSOQAAAAHKs\/0ClKUClKs3U7VnCtJLIi8ZhdOxXKWWLfCZT2kq4SNtwyw2Oa1H4zslIO6lJSCQF0XO6Wyy26Td7xcI0GDCaU\/JkyXUtNMtpG6lrWogJSACSSdhWPWOkdpLKZbkw75cJDDqQtp5mzTVtuIPMKSoNbKSRzBHIjnWCchy+VqjN909TL9ZG7ahbbsDFWLi07DiqSeJLstW+0uQDty\/sUbeSlagHTUFZNZHFFa8ltylKO5Jntkk\/8AaoM0\/wBIbS7\/AHndfUc77qn9IbS7\/ed19Rzvuqwr4yWL9Y7Z\/nmvtU8ZLF+sds\/zzX2qDNX9IbS3\/ed19Rzfuq+9k180rv8AllrwaDki0X69NPv26DKhPx3JTbKeJ1SA4hPEEjvNRXyjVaTKlSMa0vciXS6MhTc27vEuWy0r7uFRG3hUj4Qw2rYbfjFIHI\/fQnHolp1zw65PSpV0vE+VLTPu85QXLmcNtl7BRAAQgEnhaQEtp35J+EhOOlKUClKUCvwkDvr+XXW2W1vOrShCElSlKOwSB3kn4BUa896R6M6ekY1pJldvttkQvsJ2XKkNhbpBIcatiF8nFDbYyVgtJJ8gOqB4QzBkutOm+J353GLvkPFdo7KJEiHDivS3Y7a9+zLqWUq7Pi2JSFbFQBI3Aqm\/0htLv953X1HO+6rA9okYZYI70Wz3a1x25Ehct9RuKXHZD6tuJ111ayt1w7AFayVbADfYAV7vGSxfrHbP8819qgzV\/SG0u\/3ndfUc77qn9IbS7\/ed19Rzvuqwr4yWL9Y7Z\/nmvtVScl1JxHFreJ06+ty3Xl9jDgW9xMmZOf23DLDSDutR7yTslIBUpSUgmgz5J6R2ksKJInzb3cI8WIyuRIfes0xDbLSBupa1FrZKQASSeQq+sZySx5jjtsyzGbi1PtN4iNToMprfgeYcSFIWN+exSQagFcot91CfTcNSWkN29K2nYeKtPh6FGUhQWl2UoACXICgD\/wAygjyEqI7QzI6OBKtBsDUo7k2KKSf\/APAUGSKUpQKUpQK\/lZISSkbkDkN++v6r+Hmy60tsLUjjSU8Se9O\/wj9tBgNnX\/OlOS8VcsOKu5a7mJxS3NxLo69DSrwJyaTJJbS60pDTS0HZJCl7KRunfbx2DpbtZTLx+8WbFf8A7NT12GDdVvSCmZCmXdBXGCEgcDjbZ7NKzuCe23H5BCr7l6B2K424+6eT32TfxOj3FGRlxlFwbfZjrjNKSUNhsEMOuo\/I59otX5R3r+IvRu0zt95x+42yBKhwsdRbzHtbD5TFfegNuNwn3x+U6tpDywOJWyiGyoKLaCkMiXW+2axR0y73dYdvYUrgDsp9LSSrbfbdRA32B\/6q9jLzUhpD7DqHG3EhaFoUClSSNwQR3givHfGm3LRNDjaVAR3SARvz4DXmw7liNjA\/3bG\/hJoKxSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKBSlKCyNT9RZGnKsWcRYPdNjI8jhY+8sSwyYfhJUlL3CUq7TZQSCnyeRJ35bGwLr0rsasXuxNu9hkN2uMLwi0yWpIW5cXrZMahyGyjhAZ4pD7aWyVKCgSo8O2xyJqRp0nUVrH2Xb7ItqbBfod+T2LLbhfcjKKkNq4wdkknmRseXeKs+d0YMCuxvca7SJsm33RF08EiEpSLa5cZKJUtxlYHEVKkNNOJ4twgp2SNiaC79MdQ1agQbuJtlVaLrj12fs10hGQJCGpDYSrdt0BPGhSHG1pJSk7K2IBBFXFDyKwXGfItVvvUGTNib+ERmZCFutbHY8SAd08+XOqJp1p7B08ts+Kxcpdzm3i5P3e5z5XD2sqU8RxK2SAlKQlKEJSBsEoA58yf5cabRqrEKG0pKsfkkkDbc+Es0F3UpSgUpSgjd0ZdGNHsn0TsF+yXSjDrtc5j1xckzZ1iiyH3l+HyPKW4tBUo\/tJNZQ\/o9aA\/Idp\/wD8Mwvu6oPRJ833F\/8A37h7fIqj6o32Da+k3pNAVlTlucuNjydEiP7oKQ2tttqMptxTBV2ZUlXaELKd+ShvsCKC9v6PWgPyHaf\/APDML7uv3+j1oD8h2n\/\/AAzC+7rCvR71K0rtkDOLlpdqk3k1uut3ajY9Z5eQvXFx25mI4vh7Z9SlNOy1suudiFbJSgK2TxFIr3RByjIr9Gv4yRtN0uD8e2XS55C1LfcbfucllZl25Tbvkx3Ia0BHZN+SlDjfElKuIELf6TWlel+Ep0\/u+Gab4tYZysmcbMq2WePFe4DbZhKeNtAO24B7\/grGxrOXTB\/Nun3pSv8A+WTawelC3FpQhJUo9wFBnfoc\/oTl3pjN9njVnyo89CW7Wy+ad5VdbLcI86E9mVwDUiO4FtucDUdCuFQ5KAUlQ3HLlUhqBSlKBWEs+w3D836SeK2zNMUs1\/hs4VeXmo90gtS221+GwAVJS4kgK25bgb7Vm2sVXbzocZ9Brz7db6D3TtCOjrbIb1xuWjWnMWLGQp159\/HYLbbaANypSi3sAB3k15FaO9GJD8CKrSrTAP3VBcgNGxW\/jlpCeIqaHBu4OHnunflzq4tYbe\/dtKMytMS2O3KTOsM+MxEaaDi33FsLShASeRJUQOfKo4M6T6lzE4qycentvy8WwSBDluJSk2GRap\/hFyQ6d92ytrkCnftCeDuFBm+To10ZYVzi2WZpPpixcJwUYsR2xW9Dz4HeUIKOJW3w7A17z0e9AwCRofp+CO4jGoX3dYZzXEs1zHXmxagWvTW7MQFHH1OMXHkxMEWfIU45JKVkwn4aVh9ng4kyO04FhWwCJTK\/JP8AhQa5dMmWY2n1jiRWW2WGGnm2mm0hKG0iQ7slKRyA\/YKyZpD79mDfPJ3\/AMtlVjHAZEaFp5b582SzGixWJT777ywhtltMh0qWtR2CUgd5PKqH0Zek\/jGqXTNw7TbBInhlpt7V0lPXlaikSXkQH08LKP8Amxxflq5q\/wBUDmQ2c0pSgUpSgxt0ltx0c9UyCQRhd72IOx\/8Rerx4r0f9B5GL2Z9\/RLAXHF2+MpSl43DJJ7JPMkt17Okv5uWqnoVe\/YXqvLD\/wBErJ9HRv4SaDHqtLOiol27sHTXSntcfCFXZsWa3FVvC08aC+ODdriSOIcW245ivZbNE+jZe7azeLPo\/ptOgyE8bUmPj0Bxtae7cKDex5gj\/oNYt1N0mz\/Mcq1aestgfjsXV3DJ9ueecaQzdvcmYZMqMCFFQK0ANgrSEkq58tzVzaY4Jntqwy84fPgyLI9lF\/vOVrdPZvR4MWZc1vC2EtupWH1MubqUgcCSpwBRIBIXhbtDOjjeITNytOjmm82HJQHGZEfHoDjTqD3KSpLZCgfjBqPuvuAYJgesmNIwfCbBjqZmJ3QyBarazE7bhmwNuPskp4ttz3\/GfjqSOh2OXvENJcWxfJIsaNcrXbm4z7EZPC00U77ISASOQ2HI7cuVYN6VAJ1nxEAbk4nduX\/5630GNh3j\/GpW9G\/3hcC+gon1BWtXpF9LbFdFg\/jFgbYv2YpPAuIF\/wBXt52\/KkKHesHb8UOf+sU9x2O9FKU9P6M+ltwkqBemYla5LpA2BWuMhSiB8A3J5UGVaUpQKUpQKUpQKUpQeO8fmid82d+qa8eHfojZPo2N\/CTXsvH5onfNnfqmvHh36I2T6Njfwk0FYpSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlApSlArw3q92fHLVKvt\/ukW3W6C0p+VLlOpaaZbSNypa1bBIHxmrc1L1UxbS21R51\/XJkzLg94NbLXBZL8y4P7f2bTY+ADmpaiEITupakgb1Hu9zMo1Gu3u7qXJj+DMSG37VjMZ\/tbfb+zIU24+eQmSgsBfGR2bZSns0kp7VQZvT0idE1JChqNaiCNweJfMf9mv3+kRon8otq\/wC0v7NYjNxlEkquDpJO5JeP86e6En\/b3P3x\/nQZc\/pEaJ\/KLav+0v7NP6RGifyi2r\/tL+zWIxcJJOwnOn\/4p\/nWN8p1cu9ykXDFdLZyJVxiK8GnX5\/d622p3+8hKeIeGSEjf8Ug8CFf2qgRwEJa4zrLpdmd+8VsXzi1XG8GKqcILT348xkqCFOhBAJQFKA4u7c1elQs6OGPwbXr9bbkXpVwu1ys1zVcLvPcDs6cpBihPaubDyUjkltIShA5JSBU06BSlKBSlKBSlKBX5Vqap5\/B0xwa55ncQx2UFCEpMhxbbRdcWltsLUhC1JSVqSNwhR58gTsKxJZL70p7TltqkZRmGmF8t98ZXLj47Cs0+3SnI6QlS0x5bzqkF5AWk8DqElY4uSACUhIerbd1Gwdm63GyPZPAamWlhyTMbcd4Qy02lKnFFR8nyErQVAHdIWknbcb3CglaEqKSkkAkHvH7KjHqb0bcwzO65QnFZkmzWpxu5TocabNaeanXSaWC8UJQnjYYWlp1Kg4tW6pCiEJCfKCRWNZRYcvtaL1jV1j3CCta2w8yrcBaFFK0KHelSVApUkgEEEECqS\/76kP0fk+0s1QdE8NyLF42V3bJoDFtlZVksu+otzLyXhDacQ02hClp8krIa41cO44lkAnbc+6Hanbdq32zl4nzRLsklxLclSCiOPCWfIb4UpITz\/vFR5DnQX3SlKBSlKDAHRZ1BwK0aFY5bbtm9ghTI7twQ9HkXNltxtXh8jkpKlAg\/sNZUVqbpYtXGrUHFSoDbc3aNv8AXrm21t9+fPvSe6+1uVZdB0\/jU\/S5PJOoeLD\/AAu8f7dfiNT9LmwQjUPFkgkqO12jjcnvP5dcwNKDfx0z9W9LbbjGGXyXqFj\/AIDbMjXIlusz23y037nTEg8DZUokqUlIAG5JA+GtT3SN6ZWR6pofxLAhKsGJqCm391AS7kDy\/GqT+Q38TaTsd\/KKuW0aKUG9LqhfM3gekN0+uiprVCnqhPM3t\/pDc\/roqa1ApSlAqFnTk6WEDof6vae57Pwx\/JU3vHb1akxmZiY5aIkwXOMqKVbjlttyqadan+vJ\/O2jvza+\/WhUFd\/DhY7\/AOb\/AHH16391T8ODjv8A5v1x9et\/dVqapQbZfw4OO\/8Am\/XH16391X6OvBxwnZXR\/uWx79r6391WpmlBlvV3pI5xqnaYOIdp7kYxbQvsrbGcP9YUpxbnaSFf8oocewHJIAGw33JzN1Tvns4n9HXb2J2ofVMHqnfPZxP6Nu3sTtBvnpSlApSlBjrpHtB7o86oNKOwXhl6B\/yLtavLZ112p1rtkS2M6I4upERhthKlXGRuQhITv3fsraN0ifN+1O9Db17E7XMzQbKvw3uqXyHYr6xk\/wAq\/Pw3mqXyHYr6xkfyrWtSg2VfhvdUvkOxX1jJ\/lWEOkX1k2rOvT0KVb8ctmFyY1slWl2TbX3HXnI77rLiwha\/7I7sJHEnnsTzFREpQf266t51Tri1KWtRUpSjuST3kk99dJXRG81nSP0Ks\/sjdc2Q766TeiN5rOkfoVZ\/ZG6DLdKUoFKUoFfN9biGlqaQFuBJKUlWwUfgG\/wV9K+b7QfZcZK1o7RJTxIVsobjbcH4D+2gwHO1K15tOK5uJNlgXi52KfFaiXLHrM5MbaadaS7KT4EqQhcpcUEoPZOBTpUnZCVBSB5HekhfBlNqFmctV5xuLNxuzXaSmO4w7MfvDJW3LjAqVwNo4o57JW5IcdBUCgcV+490e8Jxazu2O0XvM0xnprc5Zeyqe84VJ492wpbpIaX2rhWgclFW55gEVeZozp3Oyy15k9j6EzrOlkRWm3FIjBbCVpjuqYSQ2txpLrqW1KBKQs7dySAreX3lqz2OS89DnSUutONhMOK5IUCUHmQgEgcu\/ur6Yf8AojZPo6N\/CTXrvAHuTOP\/AKs79U15MO\/RGyfRsb+EmgrFKUoFKVYGs2tuB6F4wjJc4uRbMp3wa3QWlI8JnyNiQ00FqSnuG5WtSUJHNSkjnQXdkGQ2TFbNMyHI7tEtlst7KpEqXKdDbTLaRuVKUeQFY6Y6RmIy2kSYWL5i\/HdTxtO+4brYcQfyVhLnCsAjmOJIOx7qjfd9bML1FucPJtT9UcRdch7PW\/H4tzbct1rdJ3DhJP8AWpKR5PbKASnYltCCStVQVrNpKpRUrU3GiSdyTcmyT\/30Eg\/6QuNfqfmPqg\/ap\/SFxr9T8x9UH7VR7\/0yaR\/KXjXrFr+dP9Mukfyl416xa\/nQSE\/pC41+p+Y+qD9qvHG6UWmrmcWHTqazfLffckWUwIsq3KSSkb\/jF8JJbbKhwhawElRCQSajXeNWXsieTa9JJEKcgKWmdkjzRet8PYbdnHHIS5HEeaQeyb2PGpR\/Fn46b4\/CsGe4ipl6TMnTsngO3C5zXO1mT3eJX4x5zYb7dyUgBCRySlI5UE+aUpQKUpQKUr8+Deg\/aVZeW6w6fYVeUY7e704u6rY8JVCgw3pj7TO+wccQyhRbSo8klWwVsdt9jtSP6RGmf\/O5B\/w3cPuaDJdKxp\/SI0z\/AOdyD\/hu4fc0\/pD6af8AO5B\/w3cPuaDJdKxk70i9L47LsmRLvjLLDanXXXcenoQ2hI3UpSizslIAJJPICrvwbOMW1IxS35vhV3bulkuqFORJbaVJS6lK1IJAUARspKhzHwUFepSlApSlBHrI9NcA1N6V97g6hYha8ij23T60uQ2rjHS+mMpy4zw4WwrkgqCEBRG2\/AnffYV6s+0M6MGn9iXfp3R4s91CCQIlox5MuUsJSVqUltI3ISlKif8AoA3JANbtI\/8Avc5Of\/6eWT\/5jcqurVzGs0y\/EHsbwydZ4rk9YZnm5h\/s3YRB7VpJYUlaVLGyeIKBCSrbntsGIbBp70Ossye24ximimM3hdxtbF5XKiWdgsRIr6FLYU\/uQtsuJSeEFPPcb7b192tMeh8\/qIrTVjRXGXLm28YjjibK2WUShGEksqV+UFdgQsEp4D3BXFyq8HNIL5Pyyw5jNZxWFdcShFNomWuG7HcccXDUwuLI8o8ULjUFhsHfyG+4o3PmteiuWt63R9X7tlFuU92CW5XgcdbTrrPggaNvVuSlcVMjeUhSvxqVkp3KSaD+730WejjGstwkMaJ4ghxuK8tCha290kIOxHLkaiRpmlKNNcRbbQlCRYbeQlCQkAmOgnkPjJJPxkk1sKyEE2C5pA3JhvAf9g1p0z7pe4lo5pni+O4qYmRZf7hW9Co4XxxIBEZvcyFJO6l7\/wDJJO\/I8RT3EJr6DPMp18sEYvNh5Vhu7qWiscZbC4gKwnv4dyBv3b8qmJWmzqmc5yrUbpk5LleZXl+53KZh80rddIASPCouyEJHJCR3BKQAK3J0ClKUClKUClKUGN+kAhn\/AEcSJRz60YbMhTYcu23W8KQICZrb6VsNSeMgFpxaQ2rmDsvdJ4gKwnpJqtqdq7qZYo2qmaaM2e32SU5It9pxHKEXafe5\/YuIQr8rdphLanVlOxWSE77AGs7a14Zb8+wheOXeFi0yCubFkSGMmjGRAcbadDhSpAUndWyfJJJAOxIVtscGaGXToaXPVZOMaeab4LBz\/HlLdE\/EremVDb3QpJKZ8dsITukqBbcKTz22PI0EsB3V+cSR8NftQ11H1A1Is2f6nP4fe7jOfjQp0eEhh5anYQaRCL3bQ1EpQhpp116M+2nd1fapcHJHaBMoEHuNWq\/76kP0fk+0sVZ3Rxu9yumP5NHVeJl4sNsyedBxy4y3VPLk25HAU7PK5vIQ6p5tLhKiUtjylbbmv2+Ze5Wrim7tZWoLLNkkoiOolh4yW\/CWfLKQkdn8HLc9\/fyoL9pSlApSlBzF63e\/Pn3pRdfa3Ksur01u9+fPvSi6+1uVZdApSlApSlBvS6oTzN7f6Q3P66KmtUKeqE8ze3+kNz+uiprUClKUCtT\/AF5P520d+bX360KtsFan+vJ\/O2jvza+\/WhUGrelKUClKUCpg9U757OJ\/Rt29idqH1TB6p3z2cT+jbt7E7Qb56UpQKUpQY96RPm\/aneht69idrmZrpm6RPm\/aneht69idrmZoFKUoFKUoA766TeiN5rOkfoVZ\/ZG65sh310m9EbzWdI\/Qqz+yN0GW6UpQKUpQKUpQKUpQeO8fmid82d+qa8eHfojZPo2N\/CTXsvH5onfNnfqmvHh36I2T6Njfwk0FYpSlArDupKUq6RujQUkHeLkw5j\/1aPWYqw9qR5xujXzXJvZo9BkzIrnFxyxzr4u1SZwhsqdEWEwHX31DubbTy3Uo7AbkDc8yBzrFb3SVxaJabPOuWEZDCn3GXPiS7S+zH8Lt5hPNtSioJcKXuBTzZCWFOKWlRUgKANZRy+PlEzGblEwq4wLffXo6kQJc+Op+Ow8eQWttKklYHfsFDf46wRdujZqLlWL4racpzbGzcLLNlyn5Nvtspns33XmXW7jGWuQt1M9tTTh7RSylXhDgKeHdKgyvneo8LA7nj8GVhd\/uca+TmoLs+3Q0Ox7cp1xLba391BfCpawPxaVlIClKCUgmr0DLPeGUf9kViTOdLNRNR5FvtGU5DjAsMG8C6svwrdIZusNUeUl2Ith8vFCHuySptxfAAeNRSACUVl7lQa+7YSZ+Tgk8suyMD9n\/AIVk1X8V2TqBhBUQArJoKU7nbc7qOw+M7An\/AABrDGquvuBaFxsknZRJVLucrLckMKzxVp8JkbXWV5St\/wCyb35cZHx7BRBqOvRS11zzW\/p46VXXLbgW4bF4f8BtcdSkxIaDFe5IQTzV8azuo\/Ce4AN69KUoFKUoPwkAEk7AVG3UHpP2\/IZtzw\/SbLbHCYiKVDn5VJlsqbZe32cagsqWPCHkDfd1X4lCiP7VSVNjPGcbjCsgIJH\/AILl93\/9pVYs6Pulel9w0F04nTtNsVkSHsStC3HXbNGUtajEb3JJRuT+2gxFZbnp9j0d9i2ZTaeKY94TMkP3ht6RMf2CS8+6tZU65sANyeQ5JCQABUPHHEf1usnrJj7dZFvVvw2zajR8JX0aMWkQrlBmSLXOYjwS9JejIQpaFx1NDsmjxpSl0uHyiAUp3ST\/AFp\/bcLzrDb9d\/6OGIQMgsNxm2hVsLENyLKlR9v7GYGBxNFSgkrLYKVJWCklPMMb+OOI\/rdZPWTP2q8F81LwXH7au5zspgvgEIZjQX0ypUp478DLLLZKnHFEbAAbfCSlIJGa9L8NxHMrNOn5j0fcFx2XEuT8BDERmNcGn0NcKS6l0xmjtx9ojbh\/uE786xT0ocMw\/FM70ydxbE7NZ3HxfUurgQGo6lp8Fb5EoSCR+ygxLeGb\/qS62\/qBGRCsiUIUxijb6X2VOcXEHLg4BtIcGydmU\/iUEHftTssS46LKirRCyKUdyZt3\/wDmcmokZjmWL6f47KyzMbyxbLXDTut53clSvgQhI5rWfgSkE\/8AQCRKLoXZFBy7o1YhlNsbdRDuyrlNYS8AFhty4yVJ4gCQDsRvzoM20pSgUpSg07ddDebxZekFhTlnusyCp7DkJcVGfU0VgTZOwJSRv\/01r78eM1\/XC9+sHftVPjrs\/f8A8G9D0+2yK12UFb8eM1\/XC9+sHftU8eM1\/XC9+sHftVRKUFb8eM1\/W+98xt+cHftVRCSe80pQT36mHzp736Gzfaotbsa0ndTD50979DZvtUWt2NApSlApSlApSlBhbpe2WLftELpDnaRT9TozU2BJdxiFKLDk1LclCvyhzKU7cak\/CEkHlvWPejlq5qK9cbHgNm6G7eneFLcWl2dAv1tfjwTwLVuuPGPaBSlpCSVAEE+VzrN+ttn1Xv2ns60aLZPbseymU6wiPc57PatxWe0T2ywkpUCvs+IJ3BG5FR90e0kw7AdeYysgyO15dq32HbXO5X\/UByde2oCmlbrZtyWGm2291IASBwpQvcH4wl7XxEKGJDkwRWQ+6gNrd4BxqQNyEk95A3PL9pr71h3UbXLJdLrvcnsq09ioxiJCkS41zj3suSpBQplptBi9gEt9o9IbbBLx234iO8AMvsssx2kMsNIbbbSEIQgbJSkdwAHcKtd\/31Ifo\/J9pYrz6Z6hKz+JeUzLMu03XHbs9ZbnD8ID6G5DaUL3bdATxoUhxCgSlJ57EAivjEvtmu+rYjWu6RZb1vsklmW2y6lamHPCWfJWB+SeR5H4jQXzSlKBSlKDmL1u9+fPvSi6+1uVZdXprd78+felF19rcqy6BSlKBSlKDel1Qnmb2\/0huf10VNaoU9UJ5m9v9Ibn9dFTWoFKUoFan+vJ\/O2jvza+\/WhVtgrU\/wBeT+dtHfm19+tCoNW9KUoFKUoFTB6p3z2cT+jbt7E7UPqmD1Tvns4n9G3b2J2g3z0pSgUpSgx70ifN+1O9Db17E7XMzXTN0ifN+1O9Db17E7XMzQKUpQKUpQB310m9EbzWdI\/Qqz+yN1zZDvrpN6I3ms6R+hVn9kboMt0pSgUpSg\/K\/h7tC0sMKSHCkhBUNwFfBuP8ajL0nM7yzD7xb0XXXTIsBt85TptsHDMIN\/nyUN8AcelrWw+G0BS0BKUNo2KhupZ5DK2h91yXKtOoN0ym++MMa4R0uwrnJtKrXNlxlAj+tw+SWnuR34QlJ3\/IRttQYxmZhq7ZbpCxeXqY7OtuUZi1ZYGTLtURh2Kym3S5MlLSUo7JbYfipabW4lSiO1BUohKja2IdJbU7KfFPJZjse3B+XiFtk2URk9ndhd2VrfkNqUO0SUbcSOFRSEx3eIK3JTIKz6DaM4\/Zrhj1l0zx6FbLq427NiswkJbkLRvwKWNuZG52\/wAT8Zq4XMIxB69W\/I3catq7paWfBoMsxkdpGa2UAhs7eSAFLA27gpQGwJ3Bl9zlWyxSXYtjnXMuNuNluIWgpAKFeUe0WgbD9hJ591fTDv0Rsf0bG\/hJr2Xj80Tvmzv1TXjw79EbJ9HRv4SaCsUpSgVrm65zJMhxLT\/TK94tfbhZ7ii+Tmky4Elcd5KFRhxJC0EHY7Dcb89q2M1rV6733q9NPSCX7MKDV3\/p51w+WLNvX8r7dP8ATzrh8sebev5X26sWlBfX+nnXD5Y829fyvt0\/0864fLHm3r+V9urFpQeq53W5Xqc9c7vcJM2ZJWp16RJeU644tRJKlKUSSSSSSfhNSC6uzz1NKvpZ32V6o51Izq7PPU0q+lnfZXqDocpSlApSlBRs0bW7h1+abG6l2yUlI+MlpVQ00Y6yfofYho\/g+J33Ux5m5WfHLdAmNC0ylBt5qMhC07hGx2UkjcVNHKP0au3zF\/8AhqrlqoN11y6eXRPm5rd8yi9LLKIIuUFcGPAaxltTUEFspQtpa4hdPCsl3hUspUvYqCgAK9mnvWA9EjBIEC2yelFkV9YhuPqWiZjKGUvoWlIQghiKjh4FBS+JOylqWorKuW2kWlBvhxbrKehHi1hiWJjV6dKEZKuOQ\/Z5PaPuKUVLcXwtAcSlKJOwHfWDOlt1iPRwySRh+Sac36ZlEuwIuwVBbhuxip19hCGeJbqQEo4geIjcgDkCa1I0oL81e1rz3WrITfMzunG2ySmHAYHBFht\/6raPj+NR3Uo8yTW9vq5fMo0r+jJHtj9c9FdC\/Vy+ZRpX9GSPbH6CSNKUoFKUoNNXXZ+\/\/g3oen22RWuytifXZ+\/\/AIN6Hp9tkVrsoFKUoFKUoJ79TD50979DZvtUWt2NaTuph86e9+hs32qLW7GgUpSgUpSgUpSgxz0gcqxnCtKrzk2W3a82yBCDKhLtE5uHKae7VIaKHnltso3WUg9ssNEHhXukkHCmgNkg6gaiwNf7gjI741e46xartDuTRtPbNpLDqpcFh1xlqWkIU320dx2O5spQ7NZ4aknnOJxc4xS5YtLmOxW7gwWu2bbbd4D8BLbqVNuJ370LSpChuFAg1h7FMQ1tXMawmVrhp3Fxe3LEPwTFcZ8BugbZ4C5H4lSnGWCUqSF9myCkLBRwEpIDPwqysx0mxzPE5Exk70qXGyG1sWlTHElKYjbS1uBxkgbhztFpXxEnm03ttw1ejaEtIS2jfhSABud+X+JqgT8\/w62XWfY52RwGZ1rge6k9lTo3iRPK\/HPfA2ghCyCojfhVtvsaDzad6e27Tu1zocS4zLlNu1wfu1zuExSS9LlukcS1BICUgJShKUpACUoSBX8OIQjVWIUISnix+STsNtz4SzVYxzKLBl1uF3xu7RrhD7RxkusL34XW1FK21DvStKgQUkAgjYiqQ9z1Uh+j8n2lmguylKUClKUHMXrd78+felF19rcqy6vTW7358+9KLr7W5Vl0ClKUClKUG9LqhPM3t\/pDc\/roqa1Qp6oTzN7f6Q3P66KmtQKUpQK1P9eT+dtHfm19+tCrbBWp\/ryfzto782vv1oVBq3pSlApSlAqYPVO+ezif0bdvYnah9Uweqd89nE\/o27exO0G+elKUClKUGPekT5v2p3obevYna5ma6ZukT5v2p3obevYna5maBSlKBSlKAO+uk3ojeazpH6FWf2RuubId9dJvRG81nSP0Ks\/sjdBlulKUClKUEWOmFYdTcuveJtaX2bPLwiE1PE9OHagxMYcZcUpkIDy3QVPckr2QOSdiSN9ts1aDwb5bNIMUgZNCvUS6sW1tEti9XdF1ntujfiD8xACZC\/jcA2V31F3UjSu968asXqxZhpbMxTSqy3ZS3V47bEvXbMpaV8S3H5bey4sYL\/uA8a9t99ttpd6fuY8jFbZbsbsTlhhQojbMe0PxxHehMp3S2hTPe3yQdt+8UFyUr84hQKB7qDyXj80Tvmzv1TXjw79EbJ9Gxv4Sa9l4\/NE75s79U148O\/RGyfRsb+EmgrFKUoFa1eu996vTT0gl+zCtlVa1eu996vTT0gl+zCg1A0pSgUpSgVIzq7PPU0q+lnfZXqjnUjOrs89TSr6Wd9leoOhylKUClKUFMyj9Grt8xf8A4aq5aq6lco\/Rq7fMX\/4aq5aqBSlKBSlKBXQv1cvmUaV\/Rkj2x+ueiuhfq5fMo0r+jJHtj9BJGlKUClKUGmrrs\/f\/AMG9D0+2yK12VsT67P3\/APBvQ9PtsitdlApSlApSlBPfqYfOnvfobN9qi1uxrSd1MPnT3v0Nm+1Ra3Y0ClKUClKUClKUH8PbBpZPFtwn8nv7vgrXh0eJ96i9JSy2OdbdULPiz17uU6ywp2nMexxHZqoriVPS7ihW8xRZSokhCVOqKVqPk89h7wBaWDvsUnu7\/wDorVHpS+vGddI1y0T050svWdPzrgxbYc3UW5SJ0dfA8VuSIKwRGXwJWFcYASVcO4JFBte+Cot5l0edTchm6gWm2XV6LCymZPuz0ty4AxrmpaY3gcZTA8ppTRipaUvuLRO3FxlKJPQVS1wo67g223KU0gvIbO6UubDiAPwjfevtxDn+ygxxophuRYvEym8ZRDYt87LcjlX425h4PJgtuIabQ2VgcKllLIWop5cSyATtufbDtb1u1b7Z283CaJdkkupakqQURx4Sz5DfChJCef8AeKjyHOr6BB7qtV\/31Ifo\/J9pYoLrpSlApSlBzF63e\/Pn3pRdfa3Ksur01u9+fPvSi6+1uVZdApSlApSlBvS6oTzN7f6Q3P66KmtUKeqE8ze3+kNz+uiprUClKUCtT\/Xk\/nbR35tffrQq2wVqf68n87aO\/Nr79aFQat6UpQKUpQKmD1Tvns4n9G3b2J2ofVMHqnfPZxP6Nu3sTtBvnpSlApSlBj3pE+b9qd6G3r2J2uZmumbpE+b9qd6G3r2J2uZmgUpSgUpSgDvrpN6I3ms6R+hVn9kbrmyHfXSb0RvNZ0j9CrP7I3QZbpSlApSlBgjXLTjRe+5XYm8pyvLMUyTJJCosR3FrxMgPXEoRuUvJj7oUANtnFp334UhXPY5F0pxvA8cw+INPA47ap6RLEx+U9KkS1K73HnnlKdcX8B4zuNtthtsI5dPm7OW44hHiuQoT8kSleHq1KTiUgJQpk9igqSoSEEkKPk+QUpIIJrNnRcm2u49HvAZ1ksMGyQHrHHVHt8KaZjMZGx8hMhXN79rnPiO6tzvQYjdvByHS3U2wW\/VO1xXEaj3O3RV3u\/S0NvhPC8LamWw8mRH4+FaUltRUhIUEoVtw14LjmGeI1PxiM2i949d2puJxbFjq5rr\/AG9nfjum7eEJUT23ZkOhby\/KSqMwd0lWypaJtdsSkoTbooSpwOkBlOxWDuFd3eDz376+xYYLyZBZQXUpKEucI4gkkEjfv2JA5fsFBRsxlXuJYpK7JZ2Lg6ptxLjbsvwcIRwK3VxcKtyOXLb4e+vrh36I2P6Njfwk17Lx+aJ3zZ36prx4d+iNk+jY38JNBWKUpQK1q9d771emnpBL9mFbKq1q9d771emnpBL9mFBqBpSlApSlAqRnV2eeppV9LO+yvVHOpGdXZ56mlX0s77K9QdDlKUoFKUoKZlH6NXb5i\/8Aw1Vy1V1K5R+jV2+Yv\/w1Vy1UClKUClKUCuhfq5fMo0r+jJHtj9c9FdC\/Vy+ZRpX9GSPbH6CSNKUoFKUoNNXXZ+\/\/AIN6Hp9tkVrsrYn12fv\/AODeh6fbZFa7KBSlKBSlKCe\/Uw+dPe\/Q2b7VFrdjWk7qYfOnvfobN9qi1uxoFKUoFKUoFKUoP4cKg2opBJ2OwHx1AvondIO+3bXJ3R28YfglzyiNNuoveTN5DGkXtcYPOuIS52bKA+WwWWlBtauEIBI8k7Sx171TjaOaev5vOXDbiNTYcSQ9MbkuNMtPPJbU4URm3HVkBXJKU8ztuUjciMeguc6I3rW602rHulBmGZwfCHF4ph8vFZEKNbXQw6VKXLcitl1LbZdS2FKSQFDfjPOgnD8FRT1gumbWfKtRcowPII2RzxYXojfuZcpQk4wlpccOtuww8qOtxTbkh5t3skOhTe3lp22lYK+SIcRt16Q3FZS7I27ZaUAKc2Gw4j3nYfHQYn6Ndzm3HHMlbZu8y7Y5ByedExmfKeU+qRbU8HDwvK8p5tDpebQsk7pQPKIANXHDlXmRq5wXS0sw2mrJJTFcbl9sX2\/CWfKUnhT2Z7uW6u\/v5VfDTLTDaGWGkNttpCEISkAJSO4ADuFWu976kP0fk+0sUF10pSgUpSg5i9bvfnz70ouvtbleazaW5vf8Zfy61WgPW1hMhfF27aXHEMBBfW22VcbiWw4grKQQkK3Pw16dbvfnz70nuvtblX\/g+seHWDQq7abXePOkSpqLt+IMdKh28hqOmK\/Hk8QXGCFskvNpHC+nhCuLZJQGPs80kzHTePBl5MLQpm4uOssrt15iTwHGgguIWY7i+BQDiNwrY86pWS4PlOHxLHNyW0OwGsktqbxbC4RvIhqccbS6ADuElbTgG+2+2\/cRV13XLcIuQx22GPLTaMSsrQjxXIwIulyU8HpSXylxKmm1lbiO0SVKCGm9kjfya10hdYsU1ei4I5juLybNKx2wO2y4JckKdbLip8mQltncn8WhD4AJ2PMp22SCQw7SlKDel1Qnmb2\/0huf10VNaoU9UJ5m9v8ASG5\/XRU1qBSlKBWp\/ryfzto782vv1oVbYK1P9eT+dtHfm19+tCoNcmlWn8jVDOIGFRJojPzw6WgEBbr60NqWGGUFSQ4+4U8DaCpIUtSRuN96yb\/RUujsS6PRMlLr7Uu6wrayq3KT2j9tgNzpjMtXEREdSy4UhB493GnEkhICzivTjN16e5UxkossO7NpYkRXokoqSlxp9lbS+FaCFNrCVkocSd0qAI7qv679JzL5jWYu2uELfcs2SiJcLj4c+86IKWEM9gApXApxSEkOSFhTqwtY4khStwo2EaTWTNsDyTJGdRLfBv1gt0m8CyvxHOB2GwUJWVytwht1ZcAab4VdoRsSglIVjSsus62YLDwvIsRtugeORl35SlIne61yU7F\/FpS2Akv8LqW1gupS4FDtDuQeFIGIqBUweqd89nE\/o27exO1D6pg9U757OJ\/Rt29idoN89KUoFKUoMe9InzftTvQ29exO1zMjvFdM3SJ837U70NvXsTtczI5HnQSMxvoowMktGB3CPmL6PHJt15l3wRKmZhahvSZESIoK3VLbU0iP2TgRxuvtcBKSTVBm9GDIXdaLVpLZbmhCL1ZY2StzLswqKu32x2H4WtcxscRbcZaC+NKSrcp8kniFUN\/pCZPNsNoxq6Y1js6BazBL7TzD6RcfAmFsRPCAh1I\/FNuKG7YbK+XGV7V\/MbpDZyjI5mYXKJaLte7k6tM6bOjKWqTAXFMVy2qSlaUCIplXDwISlSeFPCpOwoLV1JxRvCc0uOMsRruyzDU2WfdaKiPJcaW2laHVNoUtKUrSoLTspQKVJO533q2auDOs4vWoWQKyK+9il4Ro8JhlhJS1Gix2UMsMoBJPChttCQVEqO25JJJNv0Ad9dJvRG81nSP0Ks\/sjdc2Q766TeiN5rOkfoVZ\/ZG6DLdKUoFKUoIi9PiBOcaxG4otZVDZMtl2ajS9jNlNrWWuFosLUlUdKtie0BIUUhJG+1ZK6J+P6z2jT5i5au5qi6i6QoTtptHiu1YnLGwEK\/q7jDa1gK4S35J2KOHh2BBqyemDdNXMYy7Csv0STc5eRwodwhuwbdivu46qI+5H43VoVJYbaSlTadlblaidhy4qzpo\/d73f9NMdvOS3hN0usqChcyWm3Kt\/aPbkK3jKJUwoEcKmySUlJG523oLypX8qWlA4lKAA+Emv3iTxcPEOI89t+dB5Lx+aJ3zZ36prx4d+iNk+jY38JNey8fmid82d+qa8eHfojZPo2N\/CTQVilKUCtavXe+9Xpp6QS\/ZhWyqtavXe+9Xpp6QS\/ZhQagaVkTQnEMdzrNJmO5NGkOxzjt8nsKYkdkpqTEtz8ppR5HiHEwAU8twrv5VkG0aVaOztMYmaXC9lm22xWPqvV2hTBIlodmyVty4ioJI4VttNPONEFPGGSSTxjhCPWx+KlZ9maS4VI6SGL4MxDcew3IxDmRXsckPTFyLe62VeEAPhLiCAlRdQRu32bgTxbAmzOkBglp09z1FlsUJbNuk2yFcI7yJPhMOYHWQVPwnj5TsVSwvs1L8vYEKAUCkBjWpGdXZ56mlX0s77K9Uc6kZ1dnnqaVfSzvsr1B0OUpSgUpSgpmUfo1dvmL\/8NVctVdSuUfo1dvmL\/wDDVXLUOZ2oFKyyjo050rIF2BV1sKUN2O15CueJLq4qYlwLIindDZXupUlpJ8jYFXMgc6pty0RuNrwm65lIzrEHHrK6GZ9lYnOu3BhRkKYSCEtFnmpJUAHd+Hnt8FBjilXR\/o3yf\/Rw7qoqO0iwt3dqypWtzZ12Q4064ChG3lIAZWCru4thzO+1r0Cuhfq5fMo0r+jJHtj9c9FdC\/Vy+ZRpX9GSPbH6CSNKUoFKUoNNXXZ+\/wD4N6Hp9tkVETB7JpjddLMokZDjl2au9tjiQzkSZwSw1JU+0lmEiMU7PFbXbrUSsKHDuNkoUVS767P3\/wDBvQ9PtsioTWXXDU7HsEe00tGQtMY3IcW67CNuiucalqSVkuLbLnlcCQRxbFI4T5PKgzFFxLo1vZjgrUjAsljs5Hble6djXkaQLc2ZRSi4vyuy3b3hpW+WOHYHs1bhCuE2JotgunWa6+OYFObuV3xeWLw3b5HbeBSVIZjSHYr6wEq2P4pClN9x3I3Ff0el70hlX7xmVnjJuXga4BeNkt5CmFuJcWhSOw4VcSkI3JG5CQCdgBVtWvXfVWzZFDy23ZQlq8QBO8HmGBGW4jwxSlST5TZ4isuL5ncgKITsOVBYJ5mlf04suOKcVtuoknYbc6\/mgnv1MPnT3v0Nm+1Ra3Y1pO6mHzp736GzfaotbsaBSlKBSlKBSlKDHeu9203x\/AHb\/qrlkzGrDbZ0OUq5RJDzLjL6X0lkBTIKiFL2SpOxSpJIUNiatnAOll0ZdUMrt2E4FqXar3fZpcXEjNQ30rUW0KUohS20pBCQr4Qe\/aswXCDBuEVce4RGpLJG6m3GwsHbmOR+EfBUEdAbvpy9r1Yo0bW2\/wB1R7t3OLjuILvttluRENxFKS\/KTFSXwgIW+gtvr4m1pQF7q34QnvWJdSukNZNNrvc4M6xypUS2WWRclzW3EhDkpD8dhENAI5rUuUzuvcJTxAHc78OWttxWMMt6OWmOY3m4Xu4WYMP3S1TrVL8G2b7Twp1p1b++24dS4yhSVfHuTuaCuaYahPZ9BvLVyswtV4xu7v2S6RUSO3aS+2lCwttzhSVoWhxtQJSkji2IBFfOLerTddWkx7dcWJDsGxyWZKG1hRZX4Sz5KviPI\/8AVXt0709tundqmwolwmXKZdrg\/drncJikl6XLeI41kJASkAJSlKUgBKUJA7q\/HgBqpD2G2+PyfaWKC7KUpQKUpQcxet3vz596UXX2tyrLq9Nbvfnz70ouvtblWXQKUpQKUpQb0uqE8ze3+kNz+uiprVCnqhPM3t\/pDc\/roqa1ApSlArU\/15P520d+bX360KtsFan+vJ\/O2jvza+\/WhUGrelKUClKUCpg9U757OJ\/Rt29idqH1TB6p3z2cT+jbt7E7Qb56UpQKUpQY96RPm\/aneht69idrmZrpm6RPm\/aneht69idrmZoFKUoFKUoA766TeiN5rOkfoVZ\/ZG65sh310m9EbzWdI\/Qqz+yN0GW6UpQKUpQQL1nv2Wai5NkWN5t0a9X9RbbZcjkix3nF7gxaWY0ZJSlUZp2O4286glG6+2KjxDlw8I2l9oxIZlaVYu7GwaXhjXua0hGPyyS\/bUpHCGHCeZUnbmTzJ3O576uCyYljGNzLpcMfx+322TfJXh1ydix0NKmSeEJLzpSBxrKUpHEeewHxVVdqCIosT7Vtng4rc38Qh6xXW43+2t2t\/eVbnYT4Q4lkoCn2zLW0ryAoFWyvgJqhYpg+tUK64JBzG13qVlrD2HPQbn5Tibdbo8d0XZqQ+Dwgkl1K0EkuKfZ2CtgUzX4Rvv8AFQJAoKJlyb8qxyhYXoDToaWXDMaWtJb4DuAEKSQe7nvX0w\/9EbJ9HRv4Sa9l4\/NE75s79U148O\/RGyfRsb+EmgrFKUoFa1eu896vTT0gl+zCtlVa1eu996vTT0gl+zCg1OYlmuUYJcnLxiV3cts16K9CW82hKlFh5BQ6jygeSkEpPxgkdxNeuNqZncOLZIMXJZTcTHHlybZGTw9hHeVsFuBvbhUtQABUoEkAAkgbVbNKC7YWrOo1unquluy6fFmLmx7j27KghaZDCVJZUkgeQEJWpISnZOx2225VRskyi\/5dcjd8jubs2V2aGUrWAA22gbIbQlICUIA7kpAA+KqXSgVIzq7PPU0q+lnfZXqjnUjOrs89TSr6Wd9leoOhylKUClKUFMyj9Grt8xf\/AIaq5ah3866lco\/Rq7fMX\/4aq5aqCR1u6UOP2XNIeWWCyX23SYOGWTFY09qSwqWwqA2y06oJUgtKakNMqQttSTsFkbqG4VjOZqDjVyhSLE5jj9ts12ylV9uke2vIQrwYApYjMFaSEdml2RsVBQ3Wnly549pQZavOu6LtoxM0hVh9sSDc7dJg3NKCmQ1FiNyUpbWAeEuKMncqSAObnLdW4xKeZ3pSgV0L9XL5lGlf0ZI9sfrnoroX6uXzKNK\/oyR7Y\/QSRpSlApSlBpq67P3\/APBvQ9PtsitdlbE+uz9\/\/BvQ9PtsitdlApSlApSlBPfqYfOnvfobN9qi1uxrSd1MPnT3v0Nm+1Ra3Y0ClKUClKUClKUFJyjJbBidmevWS3yDaIKFIZMqZISy0lxxQQ2kqUdgVKUkD9pqDmg0x9jW7FHBnenuQXq53Od7rTbXdYMfJEN9i9xxLgiOSzco\/GhtSHU8L6ShBWN+0qWmvmn+S6naaz8QxO+WSz3GQ\/Ffbm3mzNXWKz2TyXCoxnQULUODdJP5KgFAggVBLorNtt9J2xQ\/dK3XN5mVOC50PQ2JYm5JSw4S6i5o\/GJSvcKB28sKG\/fQbMqtRWqmnrd9vGNO5ZBauVghqn3FhxRR2EdIBW4VKASUpBHFsTw7jfbcVddR+1q0bz7V2435VukPWRg2ORaWW5U5L8aesSY8hhbaE+VG4iy428eRUlaAQsITsGasXyzHc0tCL7i92ZuEJa3Gu1a3HC4hRSttSSApC0qBCkqAII2Iqlve+pD9H5PtLFUTRjC8hxSPld3yaNGhTcsySVffAI73aphtrQ02hsrAAUspZClbcuJZAJ23PshWty3atB5d2ny\/C7JJcDclxKkMDwlnyWwEghPP4Se4UF9UpSgUpSg5i9bvfnz70ouvtblWXV6a3e\/Pn3pRdfa3KsugUpSgUpSg3pdUJ5m9v9Ibn9dFTWqFPVCeZvb\/AEhuf10VNagUpSgVqf68n87aO\/Nr79aFW2CtT\/Xk\/nbR35tffrQqDVvSlKBSlKBUweqd89nE\/o27exO1D6pg9U757OJ\/Rt29idoN89KUoFKUoMe9InzftTvQ29exO1zM10zdInzftTvQ29exO1zM0ClKUClKUAd9dJvRG81nSP0Ks\/sjdc2Q766TeiN5rOkfoVZ\/ZG6DLdKUoFKUoFKUoFKp2QZDY8Us0zIskusW2Wu3tKflTJTobaYbHepajyA\/bVNg6i4Lc5VphQMttL79+iiba20S0FU1ggkONDfdaSEqII7wlR\/unYKvePzRO+bO\/VNePDv0Rsn0bG\/hJr2Xj80Tvmzv1TXjw79EbJ9Gxv4SaCsUpSgVrV6733q9NPSCX7MK2VVrV6733q9NPSCX7MKDUDSlKBSlKBUjOrs89TSr6Wd9leqOdSM6uzz1NKvpZ32V6g6HKUpQKUpQUzKP0au3zF\/+GquWqupXKP0au3zF\/wDhqrlqoFKUoFKUoFdC\/Vy+ZRpX9GSPbH656K6F+rl8yjSv6Mke2P0EkaUpQKUpQaauuz9\/\/BvQ9PtsitdlbE+uz9\/\/AAb0PT7bIrXZQKUpQKUpQT36mHzp736Gzfaotbsa0ndTD50979DZvtUWt2NApSlApSlApSlB\/Dh2bWdgdgeROwrW10dM+g5d0pcfhP5XpY65Cu93VFtNqn5FJuMYqTI4khb6fAnAndWxCihKVqDWwVtWyV7+xXz28k8+XLl+2oDdEm96YXzPrA\/H6Vl\/k5Ki6XVkaey50WU2ktuyUbcTLKPJ4B2ydjwpBCdzsDQT7puKHkKiRqzl3udmuoMjR7U24z8tt9hlM3mzi7KlHjU9H2MaHxFLC4Ubt18baBxKfSFFxQISEt9xVqv++pD9H5PtLFWd0b7hcZuO5KwLpOumPQcmnRcZnTHVPLftiQ2U8Lq\/KebS6p5CHCTulA8pQANV+3yb7I1bUi8WqLEZasslMNxmWXlPt+Es+UtJQnsz3ct1d\/fyoL9pSlApSlBzF63e\/Pn3pRdfa3Ksur01u9+fPvSi6+1uVZdApSlApSlBvS6oTzN7f6Q3P66KmtUKeqE8ze3+kNz+uiprUClKUCtT\/Xk\/nbR35tffrQq2wVqf68n87aO\/Nr79aFQat6UpQKUpQKmD1Tvns4n9G3b2J2ofVMHqnfPZxP6Nu3sTtBvnpSlApSlBj3pE+b9qd6G3r2J2uZmumbpE+b9qd6G3r2J2uZmgUpSgUpSgDvrpN6I3ms6R+hVn9kbrmyHfXSb0RvNZ0j9CrP7I3QZbpSlApSlApSlBZWrtoj3zDXrXKxzIL00\/Ij8TNhniHOaKXApL7bpda24FBKiAvfl3K7qwU5ohq6\/mVoZvr5v7sq64te5eTPvNI9z02ltxMhrhGylOvEjbs0hB8JfJKdiFSqpQW\/mtsu1zsEhq05FItDjba1rdZYadLiAhW6CHEqAB5cxz5V6MP\/RGyfR0b+EmvZePzRO+bO\/VNePDv0Rsn0bG\/hJoKxSlfw680w2p55xLbaElS1qIASB3kk9woP7rWr13nvV6aekEv2YVPT3dvedKSjDn1W+yh0pdvSmwVyUDvERChsUk\/wDLKBTsPJCtwoa9+uksj9p0t04L2QXO48d\/lgCWtshP9WHdwoTQalaUpQKUpQKkZ1dvnp6VfSzvsr1RzqQ\/V8R1SumTpdHRKfjFd2dHaskBaf6q93bgj\/uoOiGlWuMNnK\/Jz7Iz\/wDFY+6r98TJ\/wCvuSfvWPuqC56VbHiZP\/X3JP3rH3VPEyf+vuSfvWPuqCqZR+jV2+Yv\/wANVctVdOGRYfOax66OHOciWEwnyUqdY2P4tX\/4Vcx5O9ApSlApSlAroX6uXzKNK\/oyR7Y\/XPRW\/rq+MblXDoaaXSG8vvUILtj+zMdxkIT\/AFx\/u4myf++gldSrY8TJ\/wCvuSfvWPuqeJk\/9fck\/esfdUFz0q2PEyf+vuSfvWPuqeJk\/wDX3JP3rH3VBqQ67P3\/APBvQ9PtsitdtbBeuctj1r13whh67zrgpWIpV2ktSCoDwyRyHClI2rX1QKUpQKUpQT36mLzp736Gzfaotbsa0g9Txb3Lj0nL3Hbuky3nxPmK7WKpAX\/4zF5eUlQ25793wCtyww2ceYz7Iz\/8Vj7qguilWx4mT\/19yT96x91X54mT\/wBfcj\/esfdUF0UrF9zTdX7o9jOH5jkFzuzCR4S6480mHAJ7u2cDXNfwhpPlnYb8IIVV\/wCP22ZabRFgXC8SbrKZRs7MkpQlx5XeVEIASP2ADkNu\/voKjSlKD4S5DEdol99poLIQkuqASVHkBz79\/i+GoX6EaYak2jpEOXa54PncBuFIkLut6u98tkrHZyChxLQtsVlpLrSt1JKOEpLaEqS6So7GRXSJlXiFpfPlY3pOzqPe25Eb3KsMgI7ByYXQGnnSscKW2j+MUT8CORBIIwp0Z9Go2AZa1qJqZiWQX3U\/InFRZN5RYRCtFlYLaiI8NhKuFllKWwgulPGskb7cZFBLevwNoHckc+\/lX7WIs86QcTTzJs0st+xtXgeJ43bMgZlsy+Nc5U2VIitx+yKAGj2rCRxcagQ5uQnh5hlxKEoSEoSEgDYAdwFWs\/76kP0fk+0sV5tMtQnc9iXtm42YWq7Y3d3rLc4yJHbtB9tKFhbTnCkqQpDiFDdKSNyCNxXnhZBZr1q34La7izJet1kksS22zuWXPCWfJV8R5H\/qoL8pSlApVGyLKbbjjbKZAdkzJi+yhwY4Cn5K\/iQncch3lRISkcyQKpUWyZndXV3K8ZS\/alOL3agW5plSGG\/gStxxCi4s95UOFPPYDlxEObnW3358+9J7r7W5Vl1eWtCFN6xZ22t1Tqk5LdAVqABUfCnOZ2AG5\/YNqs2gUpSgUpSg3pdUJ5m8D0huf10VNaoH9U3YrnceiBb34eW3O2o8YLmOyjtxyn8tHPdbaj\/31MjxSv3yi339zE+5oLopVr+KV++Ua+\/uYn3NPFK\/fKNff3MT7mguitT\/AF5P520d+bX360KtnHilfvlGvv7mJ9zWrbrr7XNtdy0hRNyCddC5HvhBlIaSUbKhd3ZoT37\/AA79woNZFKUoFKUoFTB6p3z2cT+jbt7E7UPqlx1V0ORO6ZuLR41xkQFqtt22fYSgrT\/U3e7jSof91BvwpVr+KV++Ua+\/uYn3NPFK\/fKNff3MT7mguilWv4pX75Rr7+5ifc08Ur98o19\/cxPuaCi9InzftTvQ29exO1zM10h9IDF70xoNqU87nt6fQjELypTS2ooSsCE7yOzIOx\/YRXN5QKUpQKUpQB310m9EbzWdI\/Qqz+yN1zZCuizop41eZXRj0ofZzu8xULw20KDLTUXhQDFbOw4midh3cyTQZ8pVr+KV++Ua+\/uYn3NPFK\/fKNff3MT7mguilWbdLNNssB653XVK8RIkdBW6863DSlIH\/wAH\/u+GvJh8TMrhdGb5MyK7psfZKLUO4x46ZEpSvyXFhDaSygDmEHyyT5XDtwkL9pSlApSreuWoOF2fJoWG3TIocW83HgEWK4ohTqlhwoSD3BSgy6UpJ3UG17A8JoKrePzRO+bO\/VNePDv0Rsn0bG\/hJr13gj3JnDf\/AMmd+qas+3Zc5Ex6yY\/jcJN1vht8QKjhZQ1ESppJDslwA9mjbmAAVq\/upPMgLqvuQ2vHIaZlzfKQ46lhltCCt191X5LbaBzWo7HkPgBPcCat9qwXfMXxcMyaVFtiHCqNY0uApWAfJXLUk7OK+HshuhPw8ZAI91gxAQpvu\/kMz3WvqwpJluJ4UR0K\/wCSjt9zSPg+FSu9SjVych8NB+IQhtAQhISlI2AA2AHxVrW671Q\/0W6aJ3G\/u\/LP\/wDrCtlDgWptSW1hKiOR232qMHSa6DFl6VUa2Q9QdTb5DZtMtyXGFvYZGyloCSk8YI22A7qDn5pW4r8CTop8sWa\/uYn3dPwJOinyxZr+5ifd0GnWlbivwJOinyxZr+5ifd0\/Ak6KfLFmv7mJ93QahLDYLzk94h4\/j9sk3G5T3UsRosZsrddWe5KUjma2mdBLq27vjF2tWrep0l1i9xVKehRYzv4qASkpCitJ\/GO7FXIeSn41HulT0cery0N6OKlzrIJ98vDwUl26XIpL6kE\/2Y4QEoRt3hIHF\/eJ5bSgYYYisoYjtJbbQOFKUjYAUHjsllh2GA3b4QWUNjbiWoqUf2kmqhX5vTcfHQftK\/Nx8dNx8dBTMpUE4xd1KOwECQST8H4tVctddPmfYddM1tb1nj5M7bIslpbLoZaClKSpJB5n\/GoGfgSdFfh1izX9zE+7oNO1K3FfgSdFPlizX9zE+7p+BJ0U+WLNf3MT7ug0602J7q3FfgSdFPlizX9zE+7quYV1NOgGLZJDv14zbKMkjw19p7nTgwiO6ofk8fZpSpQB58O+x7juNwQ11dFboS6i9I+5w7oY0i04kpwhdwUj8bKCTsUx0nkrn5JWfJTz7yOE7vtB9Asd0Uw604tae3Ea1RhHix1PrcSyncqPMnylFSlKJ+Mnuq+cQwbGsHtrVsx+3tx2mW0tJIABCUjYJG3JIA5AAACq\/QK\/a\/Nx8dNx8dB+0r83Hx18pTb7rC24z4ZcUNkr4eLh\/btQab+uyKT0gMHAIJGHp3\/zsitdtb4OkX1bOH9JzMYmbZ\/qrksafCheANpgssBstdotwflpJ33WruO3dWKfwJOinyxZr+5ifd0GnWlbivwJOinyxZr+5ifd0\/Ak6KfLFmv7mJ93QadauPANPMw1QyaNiGEWR+6XSSCtLTWwCED8pxajyQgbjdRIA3FbZvwJOinyw5t+5ifd1KLo+9C3Rno7Wdu14hbFyXuFPhMyVsp6W4P77qvhO\/MJGyU\/ABQR36DHV7t6Ox284yi4vuZHcInYy5DDqkNNtKUFKYZHIlO6U7rVzPDyAHfP2BBj22KiHFSUttjYbkk\/9Zr7IShtIQhISByAA2AqlZBlFqxxhtc51a35HEmLEYQXH5KwN+BtA5qPdue4b7kgc6Coy5cWDGdmTZDUdhhtTrrrqwhDaEjcqUo8gAOZJqz1y75n2zdmdlWfHXWwpdxA7OXNBP5LA72myn\/lTso7+QByXX9xMau2VPNXXP2muwTwuRrG2vjjsK33Cn1cg+6Pi\/s089go+WbyAA5Cg8Vos1ssUFq22iE3FjNDyW0D4fhJPepR7yo7knmSa91KUClKUCvyv2lArG2UaFYxmeTZRkGS3CdMZyvHo2OSoBDaWmWGHXXmnG1BPaB1Lr7iwoqOx4dtuEVkmvJdbrbrHbJV5u81mHBgsrkSZDyuFDTSElSlqPwAAEk0FB090+tWndplwIE2bPlXSe\/dbncJrgW\/MlvEFbi9gEp5BKUpSAlKUpAAAr+HUhOqkMAbb4\/J9pZqq4xlmO5na\/dnGLsxcIgdcjqcaJ3Q62opcbWkgFC0qBBSoAg94qiXSdDtupDNwuEtmNGj45KcdedWEobSJDO5JPICgvEkDvNWtesruEmW\/juExGZ91YWlqU+8SIkDiAJLqhzUsJO4aT5R3TuUA8VeMzcgzxxbFpW\/Z8dCkpXP4eCVcE96gwDzabPd2pHEefAE8l1dNos1ssUFu22iE3FjNb8LbY2G5O5J+EkncknmSedBTccxGJYnHblJlP3K7yv\/ABm4yti6sf6iAOTTY+BtACR38ySTXu6v2rfyy0ZHeYgi2K9tW3cgrWWypRHxDnyoOavWwg6zZ6Qdwcnuh3\/\/ADblWXW3TI+pXs2R5DdMhf15ntuXSa\/NWgWZCuEuLKyN+057cXfVO\/AfWD5frh6kR97QanKVtj\/AfWD5frh6kR97T8B9YPl+uHqRH3tBqcAJ5AVmDo9dF3U7pG39q34ha1sWlElLE28PIPYR99iUpHIuucJ34E8+7cpHOti2NdSXgtuvsKfkmst0u1tYdDkiC3bUxzISP7naBZKQTtuQN9t9iDzE99LtGMC0isMXHsNscaFFho4GUtNhKWx8PCB8feTzJPMkmgxz0VOi7a+jxp\/b8Pg3W5Ox4q3JBaekH8Y+4QVuLSDwgnYeSOQAHfzJkAOQr9pQKUpQK1P9eQQbvo6N\/wDya+\/WhVtcfDymlJjqSlwjZKlDcA1DrpZdX3cOlrd7Ddsr1detSsfRKbjoYtoeSpL6mye9Y227Mf470GiClbY\/wH1g+X64epEfe0\/AfWD5frh6kR97QanKVtj\/AAH1g+X64epEfe0\/AfWD5frh6kR97QarLBYL1lF4h4\/j1qlXK5T3QzGixmytx1Z+BKR31tV6AfV5ZVgN6hauZxd34N\/DLzTDEN7ZuE06goUC4k\/jXClSgdvJTv3qPdJXoydXdpH0cGBLjyXsgvjqSmVdZTQQ46CfyEgEhtv\/ANFPM\/3ieW0qY0ZiIyiPGaS02gBKUJGwAoPPabY1aILcFl11wNjbjdWVqUfjJNe2lKBSlKDHnSKIHR91OJ7hht69hermarpm1k04yDVTDb1g0XKU2eBfbdJtshxDHG4EPNKbURz25BRO1a\/B1H1h5b6\/T\/UiPvaDU5Stsf4D6wfL9cPUiPvafgPrB8v1w9SI+9oNTlACfgrbH+A+sHy\/XD1Ij72rq016mPTTEcri5BmOpM7KoUQ9oi2uW9LDLjg7i4UrJWkd\/DyBPfuNwQgL0VuhJqJ0i7lCuz0d+0Ym44QqdwAvSgk7FMdB23G\/IuHyRz\/KI4a3k6KaPR9KsTtOON3Ga6xaYLMCHHclLcRHYaQEoRzPMgAc6unDMCxvBbY1bLFAbaQ0hLYUEAbJA2CQANkpA7gBsKuLu76BvtVFyHKoNiWxBSy9Ouc1KzEt8YBTz3DtxK5kBKBuN1qISNxz3IBpc\/K7heZzlhwVLEp9tS0S7k6CqJBKTsU8v7V3c8m0nYbHiUnkDU8dxSBYA7J43ZlylBPhlxk7GRJUP9YgAJSNzshICU78gKCm2fE7hcZjGRZ061KuDQC40BlalQree\/yAdu1dHd2ygD\/qhAJBu0Dav2lApSlArAObaH5jftVZN2tz0RVhvmQ47kcyY8+Q7BNqSoGO03seMulLJCtwAFvb8wkKz9Sgo+TWBORWxcFUubHIClIVFlrjqKuEgBSkEEp58x3Va+JaT2+wY9Bt6bvfIj6WEKlpjXV0JXIKR2it991bq35n4NhyA2rIFKC1\/EKL+s2Tetnf508Qov6zZN62d\/nV0UoLX8Qov6zZN62d\/nTxCi\/rNk3rZ3+dYP1713zPTLUm9Y\/Fy612u2QcGOUwkv48\/PU9KbkqaUw4ppYKW1hKfKIHDxE7kAisiO6+WSzXfD8bymx3KDccuZhhl1pKHYiZUhlxwMNu8QL5T2KwotJUE7tlW3GncLs8Qov6zZN62d\/nTxCi\/rNk3rZ3+dY5l9LfTGJhsPNnGbkqFdO3ctqE+Dlc5hloOuusnteFXCFBJbKg5x+Rw8XKqTbterg7MfnzL4+u0vZ2u123wayhSpFuNjantx3ONxCmlkrWQ4QTuAgpG+4DLniFF\/WbJvWzv86eIUX9Zsm9bO\/zqxLd0pdOpuPnIH4t2tzbkGzT4jNxabjLlNXRLpiFJWsJRuWHgrjUnh4CT5JBOQsAzezaj4fbM2x9MhMC6tF1pMhvs3UEKKVJUn4wpKhuCQdtwSCDQfDxCi\/rNk3rZ3+dPEKL+s2Tetnf51dFKCx4+A3H3dmmRlGQG1GOwIoF2d7QPcTnak\/sILW3P4D3fDUPEGL+s2Tetnf51dFKC1\/EKL+s2Tetnf508Qov6zZN62d\/nV0V85CHlsOIjuhpxSSELKeLhVtyO3w7fFQW34hRf1myb1s7\/OniFF\/WbJvWzv8AOo72LpIah27JsHtWc3m1dh7v33Fc2EW0KQYE6MXFQXQrtFBpp9rsCN+IkuI2PlHa97f0lLLhMWwY\/qldXJOR3VuHMmCJBQx7nx5760Q+2YLqlnbh2WW+Ph4VLUEp50GUfEKL+s2Tetnf508Qov6zZN62d\/nWFr70tsZu79hn4Xe24NqZv9qbu8qe2z4PKtc5qSWltuhwhtZWwPIVs4N0gpHGDWYrpe8lvGnD9+sza8Suj0RT6Pdm3+GuQQNyVOR47v41QSCQ2lwEkgb77ig+\/iFF\/WbJvWzv86eIUX9Zsm9bO\/zql6HZvN1G0sx\/MrjcrbcJNxYWXJVuacaYeKHFI4w055bSjw7qbUSUK4kknber8oLX8Qov6zZN62d\/nVPvuA3A2\/bH8oyBMzt2Ob12d4ey7VHa\/HzLfGB+0ju76vilBa\/iFF\/WbJvWzv8AOniFF\/WbJvWzv86uilBa\/iFF\/WbJvWzv86eIUX9Zsm9bO\/zq6KwlrJqTnGC53CsNtv8AbIMHJ8buxsapVtL3BfYbaZCGlqDgK0OMB5XBsD+JUQo7gUGRfEKL+s2Tetnf508Qov6zZN62d\/nWGsP6SZm4jYNTcovzUPH28agKv0dy2hp33flyRHREQsubNrQ8h1tbagQk8BKwNzVfgdLrSm4+5DTDlxTIuktMJxgttlyI4qauGlSkhZ7VBeaXstntElCePfh50GRvEKL+s2Tetnf508Qov6zZN62d\/nVl6A6rXnULHGI16ZXcrhDM5m5XmIhluEmSzOeZEUoS4VofDbba1I4SEhad1bnavJhGt0nMtWJuNPKFosyJd0tNmadgrUu9SLetLcx0SCQhsNuFaUshJUpLa18WwKUBf\/iFF\/WbJvWzv86eIUX9Zsm9bO\/zq6KUFr+IUX9Zsm9bO\/zr5YXhpscy5Xa7FUy5yJLrLEyQ8X3kwAsllrjVzSBvuUjvPM7nnV20oPwDav2lKBSlKBSlKBSlKBVi64YDP1Q0qyHBrVPTDm3FhBjOr34C606h1KF7cwhZbCFH\/VUeR7qvqlBjnRjC8hxWNlN3yliNFuGW5FKvq4MZ7tUQkLQ2020V7AKXwshSiBtxKIG4G5+d\/wBJ5ORZxHvM7Jryq2txnllsSW9m5HbNLaSlstlKm08KlDi3IUlBHMb1kqlBa3iRO+ULKf30b7mniRP+ULKf30b7mrppQWt4kT\/lCyn99G+5p4kT\/lCyn99G+5r91Ru97x\/TfKMgxyUxGulqtEudEcfY7ZsOtNKWkKRxJ4gSnYjiHf31g7RjpK5Bk0mX7uykZNEYwaBl0gWqxvxZsWS8PKhtR1qKpaVeUpLiBskp4VEkg0GcPEif8oWU\/vo33NPEif8AKFlP76N9zVnWrpK4LeXrHCgQ57s6+3CfbmYiFx1rC4bjaJCgpLpQ6EdqhRDSlq4eJW2yVbWZk3SusGRtxoGld2UJjN9sKXZD8NL0ebbZV2bhP9mpKvxavKVtxhK9lIWElJ3oMyeJE\/5Qsp\/fRvuaeJE\/5Qsp\/fRvuaxVB6UePWCDezkLOR3p21qyG5SHY9mbjiHAtk5LD6FjtiFFoOIIVuC4kbhIJ4avWy6\/YDkGoqdNbVIkSLgtcllL6EoU12zDaXHG1AK7RGyF7hSkBBKVJCiobUFweJE\/5Qsp\/fRvuaeJE\/5Qsp\/fRvuaumlBZN6wrJU2iYqw6gZCq5BlfgokPR+zLu3k8WzPdvtvXsGEz9tzqFlH76N9zV1UoLW8SJ\/yhZT++jfc08SJ\/wAoWU\/vo33NXTSgtbxIn\/KFlP76N9zTxIn\/AChZT++jfc1Zet2oOWac5Ngk5i8QoGJX66Lx+7vvQO2XDlyGHPAHuLjTwtmQlDawR\/fTzTvvVjaW6\/Zhf8Is+W5\/eYVnVjbN9lZ8g2lTbbCISwltLZU5xNcSVIdSSFlaCeQO1Bm3xIn\/AChZT++jfc08SJ\/yhZT++jfc1i2Z00NIbfZ5Nzli6JfhvSUuwkoZW8plhtlx19ohwofSESWfJbUpZUopCeJKkir6P6x3HMr7f8ZmNrvT9vyG5xlTYLbLTVthIKVREykFztErcSryfJJUElRCRQX34kT\/AJQsp\/fRvuaeJE\/5Qsp\/fRvuas69Z\/lFi6QWNYJKyqwmzZRBluR7O5bX2piTHa4y83M4y08sq3Bj8CVBAK9yARWWqC1vEif8oWU\/vo33NPEif8oWU\/vo33NXTSgsiBhWTGbcBcc\/yARg+nwEtvR+Itdmni4\/xPfx8f8A0bV7vEif8oWU\/vo33NXTSgtbxIn\/AChZT++jfc08SJ\/yhZT++jfc1dNU3Imb2\/Y7g1jc1iJdVxXBCffZ7Vtt\/hPApaNxxJ4ttxuNx8IoKR4kT\/lCyn99G+5p4kT\/AJQsp\/fRvuajli\/SjzeXccbfv82P7mXvCLi9ITFs5LsTLIK1NyIJUXOE8SmJZbb5KV4OoE\/DWRJHScw3TybBwfU6+eE5DCYSzfrhAiJTFiTBBMxSVshxTjaOySSF7KQCUJKwpQFBknxIn\/KFlP76N9zTxIn\/AChZT++jfc1hqd0rbVcMxxgY++6xalXC5Wq7W6Q0wp+bJFvEmGiI8HS2txaiEBtKiorJSrhKdqyHqpqle8MxfHnLDir8jJctuDFqttukji8HfW0t5xbwaJ4gy006spSoBRQEhaeLjAXF4kT\/AJQsp\/fRvuaeJE\/5Qsp\/fRvua\/vTfJY+YYNZcljXlN1RPipcVLEQxO0WNwsFgqUWlBQUlTZJKSkg8xVzUFreJE\/5Qsp\/fRvuap93wW\/u+Bsw85yF+O5KSmeh2W02VReFXEEKbaStKuLg5pIO2+xFXzSg8tstkCzwI9stcNqLFithtllpPChCR8AFeqlKBSlKBSlKBSlKBSlKBSlKDFmZ6Foy7N7jnUfUXJbJNumPjGX27emJwJg9otxQQXWVqS4VLUePfcctttqp0zov4Mu82O62e832ztY6zaWYMOI+0WkJtyXERwC42pYHZvOJUkKAJ4VbBaQqlKDwM9EnCYq13O35jl1uyF25+6Tl9gTWo8twGOmO40tKG+xUlxpCA4ot9otSEuFXGlKhUp3Rsx+bJfdazLIozTmRDJWmUKjrSzJFvEDgCltKWpvsQnkolXEOLi5kUpQeBjop4uxaW7UnOcrQqJZLLZ4Mxl+O1JhqtSnTClNrQ0PxyQ+6lW4KFpUQpBrLmNWJrGrHDsbU+bOERvgMqa72r76tyVOOK2AKlEknYAc9gANhSlBVKUpQKUpQKUpQY8vGgumV+n5RcrnYi69mUq2TLwQ6oB96AUeDqA7kkdkgK2\/KCQDX5k2ieN5Ln0bUI3q\/W2V4I1AusK3zA1DvUZpa1sNS2yklQbU45sUFCilakKKkHhpSgtJvol4UjGoeGSMuyq44\/b7qxPhWy6SmprEaIylxLduQHWyfBgl5aeZLuwQO02Qna\/oOn1yten0DBbdqJkTL1sDSI15UY7k7s2lgobcK2i24OABtRUjiUnck8R4qUoK3ieL27DrGzYbWXFNNLdeW45txvPOuKcddVsAOJbi1qOwA3VyAFVilKBSlKBSlKBVsZ1p1ieozFojZXbvCk2O7Rr3BKVlCmpbBJQoEc9tipKh3KSog8jSlBb1z0A03uOH5FhaLdJhQ8kvDuRSHoklTUiPdFPJfTLYcHNtxt5CHEbcgocwQSDT4nR4sUK\/WLKG86zNd1tkcRrnIVdB\/9oW0ul5sT0BASsIdUtSOyDfCla0DyFFFKUH30r0Dsukl1fumP5TepHhzDjVwjyBHDM15Ul19MpxLbSR26e2W3xp24m0tpVxcCSKhj2i2L47mz2ZxZk93aVNuEG3PLQYtvlzSDMeZASF8TpBJClKCStzhCeNW6lBkGlKUClKUClKUClKUClKUClKUClKUClKUClKUFDzjFm83w+84c\/dJluZvcF63vSofB2zbTqChZR2iVJCuFRAJSdt96xlG6LeKm2PwL5mOS3ZYxPxKt8h11hly3WvibUpDXYtJSpalMslS3Avi7JI7uIFSgO9FzF5sJi23XL8gnQk3g3t6K4IqGnJBWy5ugNspLGzjCSlTRQtAUpCVBJABrotYlDtT9itmZ5dGtgvES8W6Eqeh5i0+Dy0y0xoyHG1BLJfQkkK4lBICEqSkbUpQeJ\/ol4vJRkDTudZOWslg3+3zUbxNgzd3235QQex3BDjaeA8+Ebg71d+F6I2fCMsk5VbMsyZ9ExAcetUiakwDNLaW3ZoaCAUuuJSOIBXZ8RUoICjvSlBkelKUClKUClKUFAzvBsa1IxabhmXQBMtVw7PtmuIpO7biXEKBHMFK0JUCOYIFUZ\/RvT2UM1Eqwodb1BYRHyBtS1cMptMfwcAbHyPxfLdOx3599KUFonoxY+7Esa39Rs+cvVkceQi\/e66Uz5EF0IS7AcUlsI8HUlpn8lCXAppLgWHCpZqGH9HuxYRnknUKx5VfET7hLmyJ7KvB+xmMyShQjugNAqQ0tHE0rftE8bieMpWU0pQXMrTpiXmrGY3jIblc026QuZabfJSz4PbX1sFhxbRS2HDu2pwbLWoDtF7d42vClKBSlKBSlKBX4eYNKUGPmdCdM2pUiWmwDjk5UnNFbuqITdgjg7ZI7gCColPcStRPea8V\/wCj5hWR5desluNxvog5NF7G+2BmeW7Zc3ew8HEh5tI4+1DPC35K0pIbbJSVISoKUFt3DomYte7RZ7Pk+oOaZAizKlqakXaazIkL7aP2DZLhaBQplOym1o4V9oONSlq3NX5kemDOU41Y7Tccouybvjj7E2335oMpmNy221Nl4p7PslFaFuIWko4SHFDYctlKCv4ji9qwvHYOL2VtSYcBvs0FZBWtRJUtxZ+FalFSlH4SomqxSlApSlApSlApSlB\/\/9k=\" width=\"300px\" alt=\"Analyzing High Versus Low-load Resistance Training Methodologies\"\/><\/p>\n<p>Although our present information disagree with  prior findings from Haun et al., it is necessary to notice the important thing differences that exist between the high-volume components of each research. In explicit, Haun et al. used a 6-week intervention beginning at 10 units of 10 repetitions per week (for every exercise) and finishing with 32 units of 10 repetitions per week the place hundreds were standardized at 60% 1RM (Haun et al., 2018). The current examine began the HV leg at 10 units of 10 repetitions per week (split between two exercises) at week 1 and completed with 20 units of 10 repetitions per week at week 6 where loads were standardized at 60% 1RM. Thus, although the HV leg was uncovered to extra coaching quantity compared to the HL leg herein, the HV leg didn&#8217;t expertise practically the quantity of volume as each legs incurred in the study by Haun et al. Moreover, the total coaching quantity information in Figure 1 signifies that the HV leg was only exposed to ~11% extra quantity in comparability with the HL leg. We speculate that similar molecular adaptations between legs might have been due a relatively small distinction in complete training volume between legs all through the period of the study.<\/p>\n<p>High-load resistance training has all the time been linked to higher muscular energy and power, while low-load training can lead to higher muscular endurance. Breaking that down additional, high-load resistance coaching can increase variations within the myofibrils, while low-load endurance coaching concentrates on the mitochondria, the powerhouses of the cells. The PRIRES checklist was developed primarily through carrying out an umbrella evaluate of systematic evaluations and adapting the prevailing CERT checklist. This improvement process allowed PRIRES to handle the analysis questions that have been systematically studied. The checklist is predicted to improve the reporting completeness of future resistance train studies.<\/p>\n<p>The effects of four and 10 repetition maximum weight-training protocols on neuromuscular diversifications in untrained males. Following body composition testing, individuals had been examined for VL muscle thickness and muscle pennation angle via ultrasound. VL thickness of both legs was assessed by inserting a 3\u201312\u2009MHz multi-frequency linear section array transducer (Logiq S7 R2 Expert; General Electric, Fairfield, CT, United States) midway between the iliac crest and lateral epicondyle of the femur.<\/p>\n<p>Sponsors had no involvement in the examine design, evaluation or interpretation of information, manuscript writing, and decision to submit the manuscript for publication. This article presents the event course of and ensuing objects of the PRIRES guidelines however not why every item is crucial and related. Motivated by the CONSORT 2010 explanation and elaboration [31], we&#8217;re preparing an accompanying article [32], which will describe the rationale, significance, and examples relating to each merchandise.<\/p>\n<p>Lasevicius and colleagues [14] in contrast training at 30% or 80% of 1RM with exercise being either taken to 60% of concentric failure or absolute concentric failure in a volume-matched design. While important improvements in CSA were seen within the 80% situations and the 30% taken to absolute concentric failure situation, coaching with 30% of 1RM without concentric failure, regardless of the equal quantity of labor, didn&#8217;t induce important modifications after eight weeks of training. As findings from this examine confirmed related absolute volumes between conditions, it can be inferred that proximity to concentric failure is a vital consideration when aiming to maximize hypertrophic responses and supports current meta-analytic findings [23]. The primary goals of this evaluation had been, firstly, to investigate the completely different variables of resistance training and their impact on hypertrophy responses, and secondly, to supply practical recommendations for the prescription of resistance coaching packages to maximize hypertrophy responses.<\/p>\n<p>In addition to training standing, the current meta-analysis found a scarcity of proof to help different effects between sexes. A previous meta-analysis performed by de Villareal et al. [68], however, reported greater improvement in males following plyometric coaching relative to females. The authors have been unable to offer a powerful rationale for the finding, and speculated that large variations in pattern sizes between the sexes could have confounded results. Research has proven that stronger individuals are able to produce a higher rate of pressure improvement and energy throughout time-restricted duties [3], and so there could be the potential that elevated energy at baseline could additionally be advantageous for plyometric coaching.<\/p>\n<p>Thus, a quantity of research studies have analyzed the consequences of resistance coaching on hypertrophy and its subsequent drive degree (Hornsby et al., 2018). However, it is important to spotlight that most group sports activities require high-force stage, but additionally that the athletes should apply it in the minimal time period (Taber et al., 2016). Regarding this, increasing muscle mass embody a optimistic influence on price of drive growth and energy, which enhance sportive actions such sprinting, jumping, and alter of path capacity (Keiner et al., 2014; Seitz et al., 2014; Suchomel et al., 2018). In addition, muscle mass is a key think about sports disciplines where the quality and quantity of muscle development is judged, corresponding to bodybuilding (Schoenfeld, 2010). Therefore, promoting hypertrophy might be a relevant technique for enhancing sports efficiency (Andersen et al., 2000).<\/p>\n<h2>Examine Selection And Pattern Characteristics<\/h2>\n<p>Mechanical tension and metabolic stress independently contribute to muscle hypertrophy, each by way of its particular physiological pathway. Mechanical tension, resulting from lifting heavy weights, promotes muscle development primarily by way of the restore and strengthening of micro-tears in muscle fibers[4]. In contrast, metabolic stress, induced by high-repetition, lower-weight training, triggers muscle progress by adapting to the build-up of metabolites and the elevated anaerobic energy demands[3]. Regarding sheer mechanics, low-load endurance training is the clear winner over high-load resistance coaching. Though there is a certain amount of discomfort (that burn in your muscular tissues when you\u2019re hitting reps), it\u2019s very probably more practical for both mitochondrial and myofibril diversifications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nine meta-analyses were categorized as high quality, presenting values of 81 and 88% (i.e., thirteen items satisfied) (Schoenfeld et al., 2015, 2017a,b, 2019a; Grgic et al., 2017, 2019; Lixandr\u00e3o et al., 2018; Nunes et al., 2020). The remaining meta-analyses had been rated as reasonable quality, with values between sixty three and 75% (i.e., from 10 [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[],"class_list":["post-472","post","type-post","status-publish","format-standard","hentry","category-software-development-5"],"_links":{"self":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts\/472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=472"}],"version-history":[{"count":1,"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts\/472\/revisions"}],"predecessor-version":[{"id":473,"href":"https:\/\/drzakery.ir\/index.php?rest_route=\/wp\/v2\/posts\/472\/revisions\/473"}],"wp:attachment":[{"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/drzakery.ir\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}