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| 1 | Novel benzamido derivatives as PTP1B inhibitors with anti-hyperglycemic and lipid-lowering efficacy显示文摘Based on a non-competitive and selective PTP1 B inhibitor reported by us previously, thirtynine benzamido derivatives were designed and synthesized as novel PTP1 B inhibitors. Among them,twelve compounds exhibited IC_(50) values at micromolar level against human recombinant PTP1 B, and most of them exhibited significant selectivity to PTP1 B over TC-PTP and CD45. Further evaluation of the most potent compound 27 on high-fat diet(HFD)-induced insulin-resistant(IR) obese mice indicated that27 could modulate glucose metabolism and ameliorate dyslipidemia simultaneously.& 2018 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/). | Yanbo Tang Xiaolin Zhang Zheng Chen Wenwen Yin Guanglei Nan Jinying Tian Fei Ye Zhiyan Xiao | 2018 | Acta Pharmaceutica Sinica B2018，8，6： | 4 |
| 2 | An imputed whole-genome sequence-based GWAS approach pinpoints causal mutations for complex traits in a specific swine population显示文摘Sequencing-based genome-wide association studies(GWAS) have facilitated the identification of causal associations between genetic variants and traits in diverse species. However, it is cost-prohibitive for the majority of research groups to sequence a large number of samples. Here, we carried out genotype imputation to increase the density of single nucleotide polymorphisms in a large-scale Swine F;population using a reference panel including 117 individuals, followed by a series of GWAS analyses. The imputation accuracies reached 0.89 and 0.86 for allelic concordance and correlation, respectively. A quantitative trait nucleotide(QTN) affecting the chest vertebrate was detected directly, while the investigation of another QTN affecting the residual glucose failed due to the presence of similar haplotypes carrying wild-type and mutant allelesin the reference panel used in this study. A high imputation accuracy was confirmed by Sanger sequencing technology for the most significant loci. Two candidate genes,CPNE5 and MYH3, affecting meat-related traits were proposed. Collectively, we illustrated four scenarios in imputation-based GWAS that may be encountered by researchers, and our results will provide an extensive reference for future genotype imputation-based GWAS analyses in the future. | Guorong Yan Xianxian Liu Shijun Xiao Wenshui Xin Wenwu Xu Yiping Li Tao Huang Jiangtao Qin Lei Xie Junwu Ma Zhiyan Zhang Lusheng Huang | 2022 | Science China(Life Sciences)2022，65，4： | 2 |
| 3 | Electrical and structural properties of p-type ZnO:N thin films prepared by plasma enhanced chemical vapour deposition 显示文摘 | Zhiyan Xiao Yichun Liu Jiying Zhang | 2005 | Semiconductor Science and Technology2005，20，8： | 1 |
| 4 | Rational selection of training and test sets for the development of validated QSAR models显示文摘 | Golbraikh A Shen Min Xiao Zhiyan Xiao Yunde Lee KH Tropsha A | 2003 | Joumal of Computer-Aided Molecular Design2003，17，24： | 1 |
| 5 | Rational selection of training and test sets for the development of validated QSAR models显示文摘 | Alexander Golbraikh Min Shen Zhiyan Xiao Yun-De Xiao Kuo-Hsiung Lee Alexander Tropsha | 2003 | Journal of Computer - Aided Molecular Design (-)2003，，2： | 1 |
| 6 | Elcctrical and Structural Properties of p-Typc ZnO : N Thin Films Prepared by Plasma Enhanced Chcmical Vapour Deposition 显示文摘 | XIAO Zhiyan LIU Yichun ZHANG Jiying ct al | 2005 | Scmicond Sci Tcchnol2005，20，8： | 1 |
| 7 | Electrical transport properties in nitrogen-doped p-type ZnO thin film显示文摘 | Xiao Zhiyan Liu Yichun Li Binhui | 2006 | Semiconductor Science and Technology2006，21，12： | 1 |
| 8 | Antitumor agents 217 curcumin analogues as novel androgen receptor antagonists with potential as antiprostate cancer agents显示文摘 | Ohtsu H Xiao ZhiYan Ishida J | | 0，，23： | 1 |
| 9 | Flavonoids health benefits and their molecular mechanism显示文摘 | XIAO Zhuping PENG Zhiyan PENG Meijun | 2011 | Mini Reviews in Medicinal Chemistry2011，11，2： | 1 |
| 10 | Role of the warming trend in global land surface air temperature variations显示文摘Global warming and its climatic and environmental effects have mainly been investigated in terms of the absolute warming rate.Little attention has been paid to the contribution of absolute warming rate to variability on various time scales of surface air temperature(SAT),which may be a more direct index for measuring the ecoclimatic effect of warming trend.The present study analyzed the role of secular warming trend in the variations of global land SAT for 1901–2016.Less than one-third of annual SAT variations were contributed by the warming trend over large parts of the globe generally.The ratios were up to two-thirds over eastern South America,parts of South Africa and the regions around the southwestern Mediterranean and Sunda islands where the absolute warming rate was moderate but the endemic species were undergoing exceptional loss of habitat.The ratios also exhibited smallest seasonal difference over these regions.Therefore,the ratio of the warming trend to the SAT variations may be a better measure compared to the absolute warming rate for the local ecoclimate.We should also pay more attention to the regions with high ratio,not only the regions with the high absolute warming rate. | Zhiyan ZUO Dong XIAO Qiong HE | 2021 | Science China Earth Sciences2021，64，6： | 1 |
| 11 | Detection of genomic signatures for pig hairlessness using high-density SNP data显示文摘Hair provides thermal regulation for mammals and protects the skin from wounds,bites and ultraviolet(UV)radiation,and is important in adaptation to volatile environments.Pigs in nature are divided into hairy and hairless,which provide a good model for deciphering the molecular mechanisms of hairlessness.We conducted a genomic scan for genetically differentiated regions between hairy and hairless pigs using 60K SNP data,with the aim to better understand the genetic basis for the hairless phenotype in pigs.A total of 38405 SNPs in 498 animals from 36 diverse breeds were used to detect genomic signatures for pig hairlessness by estimating between-population(FST)values.Seven diversifying signatures between Yucatan hairless pig and hairy pigs were identified on pig chromosomes(SSC)1,3,7,8,10,11 and 16,and the biological functions of two notable genes,RGS17 and RB1,were revealed.When Mexican hairless pigs were contrasted with hairypigs,strong signatures were detected on SSC1 and SSC10,which harbor two functionally plausible genes,REV3L and BAMBI.KEGG pathway analysis showed a subset of overrepresented genes involved in the T cell receptor signaling pathway,MAPK signaling pathway and the tight junction pathways.All of these pathways may be important in local adaptability of hairless pigs.The potential mechanisms underlying the hairless phenotype in pigs are reported for the first time.RB1 and BAMBI are interesting candidate genes for the hairless phenotype in Yucatan hairless and Mexico hairless pigs,respectively.RGS17,REV3L,ICOS and RASGRP1 as well as other genes involved in the MAPK and T cell receptor signaling pathways may be important in environmental adaption by improved tolerance to UV damage in hairless pigs.These findings improve our understanding of the genetic basis for inherited hairlessness in pigs. | Ying SU Yi LONG Xinjun LIAO Huashui AI Zhiyan ZHANG Bin YANG Shijun XIAO Jianhong TANG Wenshui XIN Lusheng HUANG Jun REN Nengshui DING | 2014 | Frontiers of Agricultural Science and Engineering2014，1，4： | 0 |
| 12 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 13 | Genetic dissection and genomic prediction for pork cuts and carcass morphology traits in pig显示文摘Background As pre-cut and pre-packaged chilled meat becomes increasingly popular,integrating the carcasscutting process into the pig industry chain has become a trend.Identifying quantitative trait loci(QTLs)of pork cuts would facilitate the selection of pigs with a higher overall value.However,previous studies solely focused on evaluating the phenotypic and genetic parameters of pork cuts,neglecting the investigation of QTLs influencing these traits.This study involved 17 pork cuts and 12 morphology traits from 2,012 pigs across four populations genotyped using CC1 PorcineSNP50 BeadChips.Our aim was to identify QTLs and evaluate the accuracy of genomic estimated breed values(GEBVs)for pork cuts.Results We identified 14 QTLs and 112 QTLs for 17 pork cuts by GWAS using haplotype and imputation genotypes,respectively.Specifically,we found that HMGA1,VRTN and BMP2 were associated with body length and weight.Subsequent analysis revealed that HMGA1 primarily affects the size of fore leg bones,VRTN primarily affects the number of vertebrates,and BMP2 primarily affects the length of vertebrae and the size of hind leg bones.The prediction accuracy was defined as the correlation between the adjusted phenotype and GEBVs in the validation population,divided by the square root of the trait’s heritability.The prediction accuracy of GEBVs for pork cuts varied from 0.342 to 0.693.Notably,ribs,boneless picnic shoulder,tenderloin,hind leg bones,and scapula bones exhibited prediction accuracies exceeding 0.600.Employing better models,increasing marker density through genotype imputation,and pre-selecting markers significantly improved the prediction accuracy of GEBVs.Conclusions We performed the first study to dissect the genetic mechanism of pork cuts and identified a large number of significant QTLs and potential candidate genes.These findings carry significant implications for the breeding of pork cuts through marker-assisted and genomic selection.Additionally,we have constructed the first reference populations for genomic selection of pork cuts in pigs. | Lei Xie Jiangtao Qin Lin Rao Dengshuai Cui Xi Tang Liqing Chen Shijun Xiao Zhiyan Zhang Lusheng Huang | 2023 | Journal of Animal Science and Biotechnology2023，14，6： | 0 |
| 14 | Study on acrylic transmittance for JUNO Central Detector显示文摘Background The Central Detector(CD)of the Jiangmen Underground Neutrino Observatory(JUNO)uses 20,000 tons of liquid scintillator as target mass,and the design value of energy resolution of neutrino is 3%at 1 meV.Acrylic transmittance is an important parameter for CD in order to maximize the detection of scintillating photons.Motivation The composition and processing techniques of acrylic can surely affect its transmittance.How the composition,thermoforming temperature,heat preservation time and surface treatment process of acrylic affect its transmittance was measured and analyzed.Methods According to these studies,JUNO determined its special acrylic composition and processing techniques:no components of plasticizer or anti-UV in the composition,decreasing the time span and temperature during the demolding of flat panel,and adopting suitable thermoforming temperature of spherical panel.Results Finally,the preproduction of spherical acrylic panels meets the JUNO requirement confirming a transmittance in ultrapure water greater than 96%at the wavelength of 420 nm. | Xiaoyu Yang Nan Li Yuekun Heng Xiaohui Qian Xiaoyan Ma Yuesheng Tang Jianxia Xiao Gaofeng Zhang Wei Cheng Hongbing Song Mengzhao Li Zhiyan Cai Kaixi Huang Zhi Wu Wei He Yatian Pei | 2021 | Radiation Detection Technology and Methods2021，5，2： | 0 |
| 15 | Associations of Sport Participation with Depression and Anxiety among Chinese Minority Adolescents显示文摘This study aimed to explore associations of sport participation with anxiety and depressive symptoms among Chi-nese minority adolescents.A cross-sectional study was conducted among Chinese adolescents in Tibet.A conve-nience sample method was used to select participants.Finally,1452 students completed the survey and 1421(52.10%girls,Grades 4–9,13.46±1.41 years old)adolescents met the inclusion criteria of analysis.Sociodemo-graphic variables,sport participation,depression and anxiety were evaluated by self-reported questionnaires.Among 1421 participants,80%of adolescents lived in rural area and more than fourfifths of participants had siblings.The parent’s education level of participants was mostly middle school and below.The prevalence of par-ticipating in sport more than 3 times per week was only 7%.More than one-third of adolescents reported they never engaged in sport and 36.5%of adolescents took part in sport 1–3 times per month.In comparison with participants who never engaging in sport participation,those who engaging in one to three time/month(OR=0.71%,95%CI:0.54–0.93)and more than 3 times/week(OR=0.50%,95%CI:0.32–0.79)were less likely to report severe depression symptoms.Compared with participants who never had sport participation,only those counterparts who engaged in sport more than 3 times/week had lower odds for severe anxiety(OR=0.46%,95%CI:0.29–0.73).These results indicated that engaging in sport participation was negatively associated with depres-sion and anxiety.There is an urgent need to improve the level of sport participation for Chinese minority ado-lescents,and to explore the mechanism of exercise under hypoxia on mental health. | Zhiyan Xiao Scott Doig Haowen Wu Lei Wang | 2022 | International Journal of Mental Health Promotion2022，24，5： | 0 |
| 16 | Thermal reliability analysis of the central detector of JUNO显示文摘Introduction The Jiangmen Underground Neutrino Observatory(JUNO)is a multipurpose neutrino experiment designed to determine neutrino mass hierarchy,precisely measure oscillation parameters and study solar neutrinos,supernova neutrinos and geo-neutrinos,etc.The central detector(CD)of JUNO has 20,000 tons liquid scintillator as target mass,which contains inside a huge acrylic sphere with inner diameter of 35.4 m,supported by a stainless steel structure.The whole structure of CD will be installed inside a cylindrical water pool,and the acrylic sphere will be submerged in the center of water pool.The operating temperature of CD is designed to be 21℃ as long as over 20 years,which is determined by the mechanical requirement of the structure and physics consideration.Methods For this operating temperature,a special cooling system will be used to maintain the temperature inside the water pool.The main structure of CD is composed of acrylic and stainless steel,and they have much different thermal expansion coefficients,strengths and life times.Change in temperature may affect the safety of CD.As part of reliability analysis,the effect of cooling system failure on the CD is considered,and finite element method is used in our thermal calculation.In this article,the temperature fields before and after cooling system failure are calculated and analyzed,and the temperatures of different locations of water pool after cooling system failure are compared and discussed in detail. | Xiaoyu Yang Yuekun Heng Xiaoyan Ma Wei He Huafeng Li Kaixi Huang Tao Song Jiajie Ling Zhi Wu Xiao Tang Xiaolan Luo Xiaohui Qian Yatian Pei Nan Li Fengjiao Luo Zhiyan Cai Mengzhao Li | 2019 | Radiation Detection Technology and Methods2019，3，4： | 0 |
| 17 | Variations of widespread extreme cold and warm days in winter over China and their possible causes显示文摘The two leading modes of winter surface air temperature(SAT) over China during 1961–2017 are a spatially consistent pattern and a north-south dipole pattern. Based on the two leading modes, the characteristics of the extreme cold and warm days in the two patterns, defined by the standard deviation larger than 1.28 or smaller than-1.28 in the time series of the two leading modes, are analyzed. With the increase of winter SAT during 1961–2017, the number of spatially consistent extreme cold days decreased and their occurrence was restricted to late December to early January, whereas the number of spatially consistent extreme warm days increased significantly in January and February. Global warming is associated with an increase in the spatially consistent extreme warm days and a decrease in spatially consistent extreme cold days, but has little relation to the sum of extreme cold and warm days of either the spatially consistent or north-south dipole pattern. The Siberian High(SH) is the main factor controlling the sum of spatially consistent extreme warm and cold days. The strong(weak) SH before(after) the1990 s corresponds to an increase(decrease) in the sum of the spatially consistent extreme warm and cold days. The occurrences of extreme south-cold-north-warm and extreme south-warm-north-cold days are related to the north-south difference of the SH.When the center of the SH is in mid-high latitudes, the extreme south-warm-north-cold(south-cold-north-warm) days occur more(less) often. During the winters of 1961–2017, the total number of extreme cold and warm days of the north-south dipole pattern changes negligibly. The North Atlantic meridional overturning circulation(AMOC) may be the main factor affecting the sum of the extreme cold and warm days of the two types of SAT pattern in China. | Zhiyan ZUO Mingqian LI Ning AN Dong XIAO | 2022 | Science China Earth Sciences2022，65，2： | 0 |
| 18 | COMP ARISON OF MACROMOLECULAR COMPONENT DISTRIBUTIONS IN OSTEOARTHRITIC AND HEALTHY CARTILAGES BY FOURIER TRANSFORM INFRARED IMAGING显示文摘Fourier transform infrared imaging(FTIRI)was used to examine the depth-dependent content variations of macromolcular components,ollagen and protooglycan(PG),in osteoarthritic and healthy cartilages.Dried 6 pmm thick sections of canine knee cartilages were imaged at 6.25 pμrm pixel-size in FTIRI.By analyzing the infrared(IR)images and spectra,the depth dependence of characteristic band(sugar)intensity of PG show obvious difference bet ween the cartilage sections of(OA)and bealth.The result confimns that PG content decreases in the ostcoarthritic cartilage.However,no clear change occurs to collagen,suggesting that the OA influences little on the collagen content at early stage of OA.This observation will be helpful to further understand PG loss associated with pathological conditions in OA,and demonstrates that FIIRI has the po-tential to become an important analytical tool to identify early clinical signs of tissue degna-dation,such as PG loss even collagen disruption. | JIANHUA YIN YANG XIA ZHIYAN XIAO | 2013 | Journal of Innovative Optical Health Sciences2013，6，4： | 0 |
| 19 | Application of Machine Learning in Optimizing Proton Exchange Membrane Fuel Cells: A Review显示文摘Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for hydrogen energy are crucial for achieving an eco-friendly society, but their cost and performance are still not satisfactory for large-scale commercialization. Multiple physical and chemical coupling processes occur simultaneously at different scales in PEMFCs. Hence, previous studies only focused on the optimization of different components in such a complex system separately. In addition, the traditional trial-and-error method is very inefficient for achieving the performance breakthrough goal. Machine learning (ML) is a tool from the data science field. Trained based on datasets built from experimental records or theoretical simulation models, ML models can mine patterns that are difficult to draw intuitively. ML models can greatly reduce the cost of experimental attempts by predicting the target output. Serving as surrogate models, the ML approach could also greatly reduce the computational cost of numerical simulations such as first-principle or multiphysics simulations. Related reports are currently trending, and ML has been proven able to speed up tasks in this field, such as predicting active electrocatalysts, optimizing membrane electrode assembly (MEA), designing efficient flow channels, and providing stack operation strategies. Therefore, this paper reviews the applications and contributions of ML aiming at optimizing PEMFC performance regarding its potential to bring a research paradigm revolution. In addition to introducing and summarizing information for newcomers who are interested in this emerging cross-cutting field, we also look forward to and propose several directions for future development. | Rui Ding Shiqiao Zhang Yawen Chen Zhiyan Rui Kang Hua Yongkang Wu Xiaoke Li Xiao Duan Xuebin Wang Jia Li Jianguo Liu | 2022 | Energy and AI2022，9，3： | 0 |
| 20 | Optimization of aviation adjuvants based on wettability analysis for insecticide application on maize using UAV显示文摘Adjuvants can increase the control efficacy of diseases and insect pests by changing the physico-chemical properties of pesticides.Most of the aviation spray adjuvants are versions of ground adjuvants.Maize insecticide sprays with unmanned aerial vehicles(UAV),have problems such as relatively low droplet deposition rate and poor wettability.Hence,wettability research and optimization tests for aviation spray adjuvants are needed.The present study screened 12 spray adjuvants using physico-chemical property experiments.The adjuvants were applied to improve the droplet deposition and control efficacy in maize borers controlling by UAV.The selected spray adjuvants were Po2(a hyperbranched polymer adjuvant)and VO3(a vegetable oil adjuvant).Results showed that,(1)When Po2 was added in water-dispersible granules(WGs)at volume rate of 12 L/hm2,the dynamic surface tension(DST)of WGs was decreased by 37.41%,and the maize leaves were covered by droplets 100%,the droplet deposition was increased by 104%and maize borer control was increased by 46%;(2)VO3 decreased the surface tension of ultra-low-volume(ULV)formulation by 12.02%and the maize leaves were covered by droplets 100%.The effect of VO3 on improving the droplet deposition and control efficacy at 12 L/hm2 with ULV was not significant.Thus,the addition of aviation spray adjuvant to improve the wettability of WGs significantly improved the droplet deposition and control efficacy but it had no significant effect on the ULV formulation. | Yu Zang Zhiyan Zhou Ying Zang Xiwen Luo Juan Liao Rui Ming Cancan Song Le Zi Rui Jiang Hanxiang Xiao | 2021 | International Journal of Agricultural and Biological Engineering2021，14，5： | 0 |
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