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作者： Marcio Jose Concepcion-Zavaleta Juan Eduardo Quiroz-Aldave Maria del Carmen Durand-Vasquez Elman Rolando Gamarra-Osorio Juan del Carmen Valencia de la cruz Claudia Mercedes Barrueto-Callirgos Susan Luciana Puelles-Leon Elena de Jesus Alvarado-Leon Frans Leiva-Cabrera Francisca Elena Zavaleta-Gutierrez Luis Alberto Concepcion-Urteaga Jose Paz-Ibarra Universidad Cientifica del Sur Bolivar 2150 AvenuePueblo Libre15084LimaPeru Division of Medicine Hospital de Apoyo ChepénChepenPeru Division of Family Medicine Hospital de Apoyo ChepénChepenPeru Division of Endocrinology Hospital Victor Lazarte EchegarayTrujilloPeru Division of Pediatrics Hospital de Apoyo ChepenChepenPeru Division of Internal Medicine Hospital de Apoyo ChepenChepenPeru Division of Genetics Universidad Nacional de TrujilloTrujilloPeru Division of Neonatology Hospital Belen de TrujilloTrujilloPeru Division of Internal Medicine Universidad Nacional de TrujilloTrujilloPeru Department of Medicine School of MedicineUniversidad Nacional Mayor de San MarcosLimaPeru

Background Obesity is a multifactorial chronic disease with a high,increasing worldwide *** causes account for 7%of the cases in children with extreme *** sources This narrative review was conducted by searching for papers published in the PubMed/MEDLINE,Embase and SciELO databases and included 161 *** search used the following search terms:"obesity","obesity and genetics","leptin","Prader-Willi syndrome",and"melanocortins".The types of studies included were systematic reviews,clinical trials,prospective cohort studies,cross-sectional and prospective studies,narrative reviews,and case *** The leptin-melanocortin pathway is primarily responsible for the regulation of appetite and body ***,several important aspects of the pathophysiology of obesity remain *** causes of obesity can be grouped into syndromic,monogenic,and polygenic causes and should be assessed in children with extreme obesity before the age of 5 years,hyperphagia,or a family history of extreme obesity.A microarray study,an analysis of the melanocortin type 4 receptor gene mutations and leptin levels should be performed for this *** are three therapeutic levels:lifestyle modifications,pharmacological treatment,and bariatric *** Genetic study technologies are in constant development;however,we are still far from having a personalized approach to genetic causes of obesity.A significant proportion of the affected individuals are associated with genetic causes;however,there are still barriers to its approach,as it continues to be underdiagnosed.

关键词： Leptin Melanocortin Obesity Prader-Willi syndrome Precision medicine

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The effects of Lippia javanica dietary inclusion on growth performance,carcass characteristics and fatty acid profiles of broiler chickens

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Animal Nutrition 2016年第3期2卷 160-167页

作者： David A.Mpofu Upenyu Marume victor Mlambo Arno hugo Department of Animal Science Faculty of Agriculture Science and TechnologyNorth-West University Food Security and Safety Niche Area Faculty of Agriculture Science and TechnologyNorth-West University Department of Microbial Biochemical and Food BiotechnologyUniversity of Free State

This study was conducted to determine the effect of inclusion of fever tea(Lippia javanica) leaf meal in broiler diets on growth performance, carcass characteristics and fatty acid(FA) profiles over a 42-day feeding period. One hundred and eighty, one-day-old, broiler chicks were randomly allocated to the following four treatments: 1) negative control(commercial broiler diet only [Negcontrol]); 2) positive control(commercial broiler diet + prophylactic antibiotics [Poscontrol]); 3) commercial broiler diet without prophylactic antibiotics + 5 g of L. javanica per kg of feed(Ljav5) and 4) commercial broiler diet without prophylactic antibiotics + 12 g of L. javanica per kg of feed(Ljav12). Body weights(BW) and feed intake(FI) were recorded weekly and used to calculate feed conversion ratio(FCR) and average daily weight gain(ADG). At the end of the trial(day 42),all chickens were slaughtered at a local commercial abattoir for assessment of carcass characteristics and FA profiles of meat. The broilers fed L. javanica had significantly(P < 0.05) lower FI compared with the other two groups. However,the broilers in the Poscontrol and Ljav5 treatment groups had higher(P < 0.05) ADG, lower FCR and higher slaughter weights. L. javanica inclusion had no effect on the breast weight, thigh weight, carcass weight, and dressing percentage of the broilers. Most of the n-3 FA were not affected by diets except for the docosapentaenoic, which was found to be higher(P < 0.05) in the Ljav12 treatment group and the lowest in the Negcontrol. The broilers in the Negcontrol and Poscontrol groups had higher(P < 0.05) total saturated fatty acids(SFA). On the contrary, the L. javanica fed broilers had higher(P < 0.05) total polyunsaturated fatty acids(PUFA), total n-3 FA and PUFA:SFA ratio and also had significantly lower n-6:n-3 ratios compared with the other two treatment groups. No differences were observed with regards to total monounsaturated fatty acids(MUFA) and total n-6 FA. Overall, t

关键词： Fever tea Feed conversion ratio Average daily gain Carcass weight Fatty acids

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Automatic Detection of COVID-19 Infection Using Chest X-Ray Images Through Transfer Learning

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IEEE/CAA Journal of Automatica Sinica 2021年第1期8卷 239-248页

作者： Elene Firmeza Ohata Gabriel Maia Bezerra João victor Souza das Chagas Aloísio Vieira Lira Neto Adriano Bessa Albuquerque victor hugo Cde Albuquerque Pedro Pedrosa Rebouças Filho the Universidade Federal do Ceará FortalezaCE 60455-970and also with the Instituto Federal do CearáFortalezaCE 60040-215Brazil the Instituto Federal do Ceará FortalezaCE 60040-215Brazil the Universidade de Fortaleza FortalezaCE 60811-905Brazil

The new coronavirus(COVID-19),declared by the World Health Organization as a pandemic,has infected more than 1 million people and killed more than 50 *** infection caused by COVID-19 can develop into pneumonia,which can be detected by a chest X-ray exam and should be treated *** this work,we propose an automatic detection method for COVID-19 infection based on chest X-ray *** datasets constructed for this study are composed of194 X-ray images of patients diagnosed with coronavirus and 194 X-ray images of healthy *** few images of patients with COVID-19 are publicly available,we apply the concept of transfer learning for this *** use different architectures of convolutional neural networks(CNNs)trained on Image Net,and adapt them to behave as feature extractors for the X-ray ***,the CNNs are combined with consolidated machine learning methods,such as k-Nearest Neighbor,Bayes,Random Forest,multilayer perceptron(MLP),and support vector machine(SVM).The results show that,for one of the datasets,the extractor-classifier pair with the best performance is the Mobile Net architecture with the SVM classifier using a linear kernel,which achieves an accuracy and an F1-score of 98.5%.For the other dataset,the best pair is Dense Net201 with MLP,achieving an accuracy and an F1-score of 95.6%.Thus,the proposed approach demonstrates efficiency in detecting COVID-19 in X-ray images.

关键词： Convolutional neural networks(CNNs) COVID-19 transfer learning X-ray

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Environmental determinants of social wasp diversity and assemblage structure in an Amazonian archipelagic landscape

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Zoological Research(Diversity and Conservation) 2024年第2期1卷 121-129页

作者： Jose victor Alves Ferreira Alexandre Somavilla Maíra Benchimol Ana Filipa Palmeirim Carlos A.Peres Danielle Storck-Tonon Laboratório de Ecologia Aplicada àConservação Universidade Estadual de Santa CruzIlhéus 45662-900Brazil Instituto Nacional de Pesquisas da Amazônia Coordenação de BiodiversidadeManaus 69067-001Brazil CIBIO Centro de Investigação em Biodiversidade e Recursos GenéticosInBIO Laboratório AssociadoCampus de VairãoUniversidade do PortoVairão 4485-661Portugal BIOPOLIS Program in Genomics Biodiversity and Land PlanningCIBIOCampus de VairãoVairão 4485-661Portugal School of Environmental Sciences University of East AngliaNorwich NR47TJUK Instituto Juruá Manaus69057-060Brazil Programa de Pós-Graduação em Ambiente e Sistemas de Produção Agrícola(PPGASP) Universidade do Estado de Mato GrossoTangaráda Serra 78300-970Brazil

Hydropower development has become an important driver of habitat loss and fragmentation across lowland tropical *** ample evidence on the detrimental effects of insular habitat fragmentation on biodiversity,invertebrate taxa,that may be critical to ecosystem functioning,have been *** assessed the assemblage-level responses of social wasps to forest insularization induced by the Balbina Hydroelectric Dam in Central Brazilian *** Malaise trapping,we captured wasps on 27 forest islands and three continuous *** constructed Generalized Linear Models and employed a model selection approach to examine the impact of local variables(fire severity(FIRE)and basal area of pioneer tree species(PIONEER))and landscape-scale variables(amount of habitat(COVER))on patterns of species richness,composition,and body size of wasps.A total of 374 individuals(29 species)were collected across all sampling *** was the main predictor of species richness,while PIONEER was the only variable that explained variation in community composition,with a negative effect on body *** results add evidence to the pervasive impacts of large hydroelectric dams on tropical forest biodiversity,and suggest that social wasps,among other invertebrates,can be used as bioindicators in infrastructure development projects.

关键词： Habitat amount hypothesis Habitat fragmentation Habitat loss Hydroelectric dams Invertebrates

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Aggregator Based RPL for an IoT-Fog Based Power Distribution System with 6LoWPAN

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China Communications 2020年第1期17卷 104-117页

作者： Rijo Jackson Tom Suresh Sankaranarayanan victor hugo C.de Albuquerque Joel J.P.C.Rodrigues CMR Institute of Technology Bengaluru 560037India SRM Institute of Science and Technology Chennai 603203India University of Fortaleza(Unifor) FortalezaCE 60811-905Brazil Federal University of Piaui Teresina-PI64049-550Brazil Instituto de Telecomunicacoes 1049-001 LisboaPortugal

Advanced Metering Infrastructure(AMI)forms an important part in Smart *** the data effectively from smart meters to the Edge/Fog node requires an efficient routing *** Protocol for Low Power Lossy Area Network(RPL)is a standard routing protocol for IPv6 over Low Power Personal Area Network(6LoWPAN).In a Power Distribution system all the smart meters together form 6LoWPAN *** communicate with the fog router,which acts as the 6LoWPAN *** was evaluated using Cooja Network simulator for a power distribution network *** nodes which were far away from the fog node gave low Packet Delivery Ratio(PDR)and large End to End *** paper proposes an aggregation RPL scheme by modifying the existing Contiki *** smart meter nodes communicate to the aggregator,which communicates to the fog *** results show that the aggregation scheme has 35.6%increase in PDR,lesser hop count and 13.24%decrease in End to End delay on an average compared to existing RPL.

关键词： IoT 6LoWPAN RPL routing distribution automation smart grid fog computing

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