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science China Chemistry 2011年第8期54卷 1155-1156页

作者：陈洪渊 HuangXian Ju Chinese Acad sci Beijing 100864Peoples R China Nanjing Univ NanjingPeoples R China Univ Montreal MontrealPQ H3C 3J7Canada

The 21st century is witnessing rapid progress in the areas of life science and biotechnology. It is therefore increasingly important to detect and quantify biologically essential mol-ecules not only in scientific rese... 详细信息

关键词：生物技术领域序言食品加工业生命科学 MOL

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求解组合优化问题的一种新的宏启发式算法：ibs

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Journal of Computer science & Technology 2004年第C期19卷 33-33页

作者： PengZou ZhiZhou Ying-YuWan Guo-LiangChen JunGu Dept ofComp.Sci.andTech.Univ.ofSci.andTech.ofChinaNationalHighPerformanceComputingCenteratHefeiHefei230027P.R.China Dept.ofComputerscience HongKongUniversityofScienceandTechnologyP.R.China

随着科学研究和工程技术的发展，许多科学研究领域和工程应用问题都涉及到了一些组合优化问题，而这些问题中存在着大量的NP难解(NP—hard)问题，所以NP难解问题的研究具有十分重要的理论意义和广泛的应用背景，而其研究成果对科学研究... 详细信息

随着科学研究和工程技术的发展，许多科学研究领域和工程应用问题都涉及到了一些组合优化问题，而这些问题中存在着大量的NP难解(NP—hard)问题，所以NP难解问题的研究具有十分重要的理论意义和广泛的应用背景，而其研究成果对科学研究的发展以及国民经济的建设都起着极大的推动作用。

关键词：组合优化问题求解应用背景启发式算法 NP 领域研究成果 ibs 科学研究发展

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Iodine-assisted ultrafast growth of high-quality monolayer MoS_(2) with sulfur-terminated edges

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National science Open 2023年第4期2卷 43-54页

作者： Qinke Wu Jialiang Zhang Lei Tang Usman Khan Huiyu Nong Shilong Zhao Yujie Sun Rongxu Zheng Rongjie Zhang Jingwei Wang Junyang Tan Qiangmin Yu Liqiong He Shisheng Li Xiaolong Zou Hui-Ming Cheng Bilu Liu Shenzhen Geim Graphene Center Tsinghua-Berkeley Shenzhen Institute and Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China institute of Functional Porous Materials School of Materials Science and EngineeringZhejiang Sci-Tech UniversityHangzhou 310018China International Center for Materials Nanoarchitectonics National Institute for Materials ScienceTsukuba 305-0044Japan Faculty of Materials science and Engineering/institute of Technology for Carbon Neutrality Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Shenyang National Laboratory for Materials sciences Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Advanced Technology institute University of SurreyGuildfordSurrey GU27XHUK

Two-dimensional(2D)semiconductors have attracted great attention to extend Moore’s law,which motivates the quest for fast growth of high-quality ***,taking MoS_(2) as an example,current methods yield 2D MoS_(2) with a low growth rate and poor quality with vacancy concentrations three to five orders of magnitude higher than silicon and other commercial ***,we develop a strategy of using an intermediate product of iodine as a transport agent to carry metal precursors efficiently for ultrafast growth of high-quality MoS_(2).The grown MoS_(2) has the lowest density of sulfur vacancies(~1.41×10^(12) cm^(−2))reported so far and excellent electrical properties with high on/off current ratios of 108 and carrier mobility of 175 cm^(2) V^(−1) s^(−1).Theoretical calculations show that by incorporating iodine,the nucleation barrier of MoS_(2) growth with sulfur-terminated edges reduces *** sufficient supply of precursor and low nucleation energy together boost the ultrafast growth of sub-millimeter MoS_(2) domains within *** work provides an effective method for the ultrafast growth of 2D semiconductors with high quality,which will promote their applications.

关键词： 2D semiconductors molybdenum disulfides ultrafast growth defect density sulfur vacancy iodine-assisted sulfur-terminated edge

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Interaction of Diet/Lifestyle Intervention and TCF7L2 Genotype on Glycemic Control and Adiposity among Overweight or Obese Adults:Big Data from Seven Randomized Controlled Trials Worldwide

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Health Data science 2021年第1期2021卷 174-183页

作者： Tao Huang Zhenhuang Zhuang Yoriko Heianza Dianjianyi Sun Wenjie Ma Wenxiu Wang Meng Gao Zhe Fang Emilio Ros Liana C.Del Gobbo Jordi Salas-Salvadó Miguel A.Martínez-González Jan Polak Markku Laakso Arne Astrup Dominique Langin Jorg Hager Gabby Hul Torben Hansen Oluf Pedersen Jean-Michel Oppert Wim H.M.Saris Peter Arner Montserrat Cofán Sujatha Rajaram Jaakko Tuomilehto Jaana Lindström Vanessa D.de Mello Alena Stancacova Matti Uusitupa Mathilde Svendstrup Thorkild I.A.Sørensen Christopher D.Gardner Joan Sabaté Dolores Corella J.Alfredo Martinez Lu Qi Department of Epidemiology&Biostatistics School of Public HealthPeking UniversityChina Department of Global Health School of Public HealthPeking UniversityChina Key Laboratory of Molecular Cardiovascular sciences Ministry of Education China Global Health institute Peking University China Department of Epidemiology School of Public Health and Tropical MedicineTulane UniversityNew OrleansLAUSA Department of Nutrition Harvard T.H.Chan School of Public HealthBostonMAUSA Department of Endocrinology&Nutrition Institut d’Investigacions Biomèdiques August Pi SunyerHospital ClínicBarcelonaSpain CIBER Fisiopatologia de la Obesidad y Nutrición(CIBERobn) Instituto de Salud Carlos III(ISCIII)MadridSpain Stanford Prevention Research Center Stanford UniversityStanford CAUSA Human Nutrition Unit Faculty of Medicine and Health SciencesPere Virgili Health Research InstituteRovira i Virgili UniversityReusSpain University of Navarra Department of Preventive Medicine and Public HealthMedical School&IDISNAPamplonaSpain Department for the Study of Obesity and Diabetes Third Faculty of MedicineCharles UniversityPragueCzech Republic Department of Medicine University of Eastern FinlandKuopioFinland University of Copenhagen Department of NutritionExercise and SportsFaculty of ScienceCopenhagenDenmark institut National de la Santéet de la Recherche Médicale(Inserm) UMR1048Institute of Metabolic and Cardiovascular DiseasesUniversity of Toulouse and Paul Sabatier UniversityToulouseFrance Nestléinstitute of Health sciences LausanneSwitzerland Department of Human Biology NUTRIM School of Nutrition and Translational Research in MetabolismMaastricht University Medical Centre+MaastrichtNetherlands Section of Metabolic Genetics Novo Nordisk Foundation Center for Basic Metabolic ResearchFaculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark Sorbonne Université Institute of Cardiometabolism and Nutrition(ICAN)Department of NutritionPitié-Salpêtrière HospitalAssistance Publique-

*** strongest locus which associated with type 2 diabetes(T2D)by the common variant rs7903146 is the transcription factor 7-like 2 gene(TCF7L2).We aimed to quantify the interaction of diet/lifestyle interventions and the genetic effect of TCF7L2 rs7903146 on glycemic traits,body weight,or waist circumference in overweight or obese adults in several randomized controlled trials(RCTs).*** October 2016 to May 2018,a large collaborative analysis was performed by pooling individualparticipant data from 7 *** RCTs reported changes in glycemic control and adiposity of the variant rs7903146 after dietary/lifestyle-related interventions in overweight or obese *** treatment interaction models which used the genetic effect encoded by the allele dose and common covariates were applicable to individual participant data in all *** the joint analysis,a total of 7 eligible RCTs were included(n=4,114).Importantly,we observed a significant effect modification of diet/lifestyle-related interventions on the TCF7L2 variant rs7903146 and changes in fasting *** with the control group,diet/lifestyle interventions were related to lower fasting glucose by-3.06(95%CI,-5.77 to-0.36)mg/dL(test for heterogeneity and overall effect:I^(2)=45:1%,p<0:05;z=2:20,p=0:028)per one copy of the TCF7L2 T risk ***,regardless of genetic risk,diet/lifestyle interventions were associated with lower waist ***,there was no significant change for diet/lifestyle interventions in other glycemic control and adiposity traits per one copy of TCF7L2 risk *** findings suggest that carrying the TCF7L2 T risk allele may have a modestly greater benefit for specific diet/lifestyle interventions to improve the control of fasting glucose in overweight or obese adults.

关键词： TCF7L2 weight finding

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Computational biology in topical bioactive peptide discovery for cosmeceutical application:a concise review

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Biomedical Engineering Communications 2023年第3期2卷 7-15页

作者： Xu-Hui Li Wen-Rou Su Fei-Fei Wang Ke Li Jing-Yong Zhu Si-Yu Zhu Si-Ning Kang Cong-Fen He Jun-Xiang Li Xiao Lin AGECODE R&D Center Yangtze Delta Region Institute of Tsinghua UniversityJiaxing 314000China Zhejiang Provincial Key Laboratory of Applied Enzymology Yangtze Delta Region Institute of Tsinghua UniversityJiaxing 314000China Yunnan Botanee Bio-technology Group Co. Ltd.Yunnan 650000China Yunnan Yunke Characteristic Plant Extraction Laboratory Co. Ltd.Yunnan 650000China Shenzhen Accompany Technology Co. LtdShenzhen 518000China College of Life sciences and Medicine Zhejiang Sci-tech UniversityHangzhou 310018China Harvest Biotech(Zhejiang)Co. Ltd.Jiaxing 314000China School of Beijing Key Lab of Plant Resources Research and Development Beijing Technology and Business UniversityBeijing 100048China School of Life sciences Northwestern Polytechnical UniversityXi’an 710072China

Regenerative medicine and anti-aging research have made great strides at the molecular and cellular levels in dermatology and the medical aesthetic field,targeting potential treatments with skin therapeutic and intervention pathways,which make it possible to develop effective skin regeneration and repair *** the rapid development of computational biology,bioinformatics as well as artificial intelligence(A.I.),the development of new ingredients for regenerative medicine has been greatly accelerated,and the success rate has been *** application cases have appeared in topical skin regeneration and repair *** review will briefly introduce the application of bioactive peptides in skin repair and anti-aging as emerging ingredients in cosmeceutics and emphasize how *** computational biology technology may accelerate the development of innovative peptide molecules and ultimately translate them into potential skin regenerative and anti-aging ***,two research routines have been summarized and current limitations as well as directions were discussed for border applications in future research.

关键词： computational biology artificial intelligence cosmeceutical bioactive peptide regenerative medicine

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