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Drivers of seedling establishment success in dryland restoration efforts (Jul, 10.1038/s41559-021-01510-3, 2021)

NATURE ECOLOGY & EVOLUTION 2021年第9期5卷 1319-1319页

作者： Shackelford, Nancy Paterno, Gustavo B. Winkler, Daniel E. Erickson, Todd E. Leger, Elizabeth A. Svejcar, Lauren N. Breed, Martin F. Faist, Akasha M. Harrison, Peter A. Curran, Michael F. Guo, Qinfeng Kirmer, Anita Law, Darin J. Mganga, Kevin Z. Munson, Seth M. Porensky, Lauren M. Quiroga, R. Emiliano Torok, Peter Wainwright, Claire E. Abdullahi, Ali Bahm, Matt A. Ballenger, Elizabeth A. Barger, Nichole Baughman, Owen W. Becker, Carina Lucas-Borja, Manuel Esteban Boyd, Chad S. Burton, Carla M. Burton, Philip J. Calleja, Eman Carrick, Peter J. Caruana, Alex Clements, Charlie D. Davies, Kirk W. Deak, Balazs Drake, Jessica Dullau, Sandra Eldridge, Joshua Espeland, Erin Farrell, Hannah L. Fick, Stephen E. Garbowski, Magda de la Riva, Enrique G. Golos, Peter J. Grey, Penelope A. Heydenrych, Barry Holmes, Patricia M. James, Jeremy J. Jonas-Bratten, Jayne Kiss, Reka Kramer, Andrea T. Larson, Julie E. Lorite, Juan Mayence, C. Ellery Merino-Martin, Luis Miglecz, Tamas Milton, Suanne Jane Monaco, Thomas A. Montalvo, Arlee M. Navarro-Cano, Jose A. Paschke, Mark W. Peri, Pablo Luis Pokorny, Monica L. Rinella, Matthew J. Saayman, Nelmarie Schantz, Merilynn C. Parkhurst, Tina Seabloom, Eric W. Stuble, Katharine L. Uselman, Shauna M. Valko, Orsolya Veblen, Kari Wilson, Scott Wong, Megan Xu, Zhiwei Suding, Katharine L. School of Environmental Studies University of Victoria Victoria British Columbia Canada Ecology and Evolutionary Biology University of Colorado Boulder Boulder CO USA Institute of Arctic and Alpine Research University of Colorado Boulder Boulder CO USA Departamento de Ecologia Universidade Federal do Rio Grande do Norte Natal Brazil Department of Ecology and Ecosystem Management Restoration Ecology Research Group Technical University of Munich Freising Germany US Geological Survey Southwest Biological Science Center Moab UT USA School of Biological Sciences The University of Western Australia Crawley Western Australia Australia Kings Park Science Department of Biodiversity Conservation and Attractions Kings Park Western Australia Australia Department of Biology University of Nevada Reno Reno NV USA USDA Agricultural Research Service Eastern Oregon Agricultural Research Center Burns OR USA College of Science and Engineering Flinders University Bedford Park South Australia Australia Department of Animal and Range Sciences New Mexico State University Las Cruces NM USA School of Natural Sciences and ARC Training Centre for Forest Value University of Tasmania Hobart Tasmania Australia Program in Ecology University of Wyoming Laramie WY USA USDA FS – Southern Research Station Research Triangle Park NC USA Department of Nature Conservation and Landscape Planning Anhalt University of Applied Sciences Bernburg Germany School of Natural Resources and the Environment University of Arizona Tucson AZ USA Department of Agricultural Sciences South Eastern Kenya University Kitui Kenya US Geological Survey Southwest Biological Science Center Flagstaff AZ USA US Department of Agriculture – Agricultural Research Service Rangeland Resources and Systems Research Unit Fort Collins CO USA Instituto Nacional de Tecnología Agropecuaria Estación Experimental Agropecuaria Catamarca Catamarca Argentina Cátedra de Manejo de Pastizales Naturales Facultad de Cienci

Restoration of degraded drylands is urgently needed to mitigate climate change, reverse desertification and secure livelihoods for the two billion people who live in these areas. Bold global targets have been set for dryland restoration to restore millions of hectares of degraded land. These targets have been questioned as overly ambitious, but without a global evaluation of successes and failures it is impossible to gauge feasibility. Here we examine restoration seeding outcomes across 174 sites on six continents, encompassing 594,065 observations of 671 plant species. Our findings suggest reasons for optimism. Seeding had a positive impact on species presence: in almost a third of all treatments, 100% of species seeded were growing at first monitoring. However, dryland restoration is risky: 17% of projects failed, with no establishment of any seeded species, and consistent declines were found in seeded species as projects matured. Across projects, higher seeding rates and larger seed sizes resulted in a greater probability of recruitment, with further influences on species success including site aridity, taxonomic identity and species life form. Our findings suggest that investigations examining these predictive factors will yield more effective and informed restoration decision-making.

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Artificial Photosynthesis: Ni-Nanocluster Modified Black TiO2with Dual Active Sites for Selective Photocatalytic CO2Reduction (Small 2/2018)

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Small 2018年第2期14卷

作者： Tadesse Billo Fang-Yu Fu Putikam Raghunath Indrajit Shown Wei-Fu Chen Hsiang-Ting Lien Tzu-Hsien Shen Jyh-Fu Lee Ting-Shan Chan Kuo-You Huang Chih-I Wu M. C. Lin Jih-Shang Hwang Chih-Hao Lee Li-Chyong Chen Kuei-Hsien Chen Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 115 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu 30013 Taiwan Institute of Atomic and Molecular Sciences Academia Sinica Taipei 10617 Taiwan Center for Condensed Matter Sciences National Taiwan University Taipei 10617 Taiwan Institute of Optoelectronic Science National Taiwan Ocean University Keelung 202 Taiwan Center for Interdisciplinary Molecular Science Department of Applied Chemistry National Chiao Tung University Hsinchu 300 Taiwan National Synchrotron Radiation Research Center Hsinchu 30076 Taiwan Graduate Institute of Electro-Optical Engineering National Taiwan University Taipei 10617 Taiwan

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Author Correction: Enhancing untargeted metabolomics using metadata-based source annotation

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Nature biotechnology 2023年第11期41卷 1656页

作者： Julia M Gauglitz Kiana A West Wout Bittremieux Candace L Williams Kelly C Weldon Morgan Panitchpakdi Francesca Di Ottavio Christine M Aceves Elizabeth Brown Nicole C Sikora Alan K Jarmusch Cameron Martino Anupriya Tripathi Michael J Meehan Kathleen Dorrestein Justin P Shaffer Roxana Coras Fernando Vargas Lindsay DeRight Goldasich Tara Schwartz MacKenzie Bryant Gregory Humphrey Abigail J Johnson Katharina Spengler Pedro Belda-Ferre Edgar Diaz Daniel McDonald Qiyun Zhu Emmanuel O Elijah Mingxun Wang Clarisse Marotz Kate E Sprecher Daniela Vargas-Robles Dana Withrow Gail Ackermann Lourdes Herrera Barry J Bradford Lucas Maciel Mauriz Marques Juliano Geraldo Amaral Rodrigo Moreira Silva Flavio Protasio Veras Thiago Mattar Cunha Rene Donizeti Ribeiro Oliveira Paulo Louzada-Junior Robert H Mills Paulina K Piotrowski Stephanie L Servetas Sandra M Da Silva Christina M Jones Nancy J Lin Katrice A Lippa Scott A Jackson Rima Kaddurah Daouk Douglas Galasko Parambir S Dulai Tatyana I Kalashnikova Curt Wittenberg Robert Terkeltaub Megan M Doty Jae H Kim Kyung E Rhee Julia Beauchamp-Walters Kenneth P Wright Maria Gloria Dominguez-Bello Mark Manary Michelli F Oliveira Brigid S Boland Norberto Peporine Lopes Monica Guma Austin D Swafford Rachel J Dutton Rob Knight Pieter C Dorrestein Collaborative Mass Spectrometry Innovation Center University of California San Diego La Jolla CA USA. Skaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La Jolla CA USA. Beckman Center for Conservation Research San Diego Zoo Wildlife Alliance Escondido CA USA. Center for Microbiome Innovation Joan and Irwin Jacobs School of Engineering University of California San Diego La Jolla CA USA. Division of Biological Sciences University of California San Diego La Jolla CA USA. Department of Pediatrics School of Medicine University of California San Diego La Jolla CA USA. Bioinformatics and Systems Biology Program University of California San Diego La Jolla CA USA. Division of Rheumatology Allergy & Immunology Department of Medicine University of California San Diego La Jolla CA USA. Division of Epidemiology and Community Health School of Public Health University of Minnesota Minneapolis MN USA. Department of Integrative Physiology University of Colorado Boulder Boulder CO USA. Department of Population Health Sciences University of Wisconsin-Madison Madison WI USA. Servicio Autónomo Centro Amazónico de Investigación y Control de Enfermedades Tropicales Simón Bolívar Puerto Ayacucho Amazonas Venezuela. Department of Pediatrics Billings Clinic Billings MT USA. Department of Animal Science Michigan State University East Lansing MI USA. Department of Pharmacology Ribeirão Preto Medicinal School Center of Research in Inflammatory Diseases University of São Paulo Ribeirão Preto Sao Paolo Brazil. Multidisciplinary Health Institute Federal University of Bahia Vitória da Conquista Bahia Brazil. NPPNS Department of Biomolecular Sciences School of Pharmaceutical Sciences of Ribeirão Preto University of São Paulo Ribeirão Preto Sao Paolo Brazil. Department of Internal Medicine Ribeirão Preto Medical School Center of Research in Inflammatory Diseases University of São Paulo Ribeirão Preto Sao Paolo Brazil. Department

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Control and Notification Automatic Water Pump with Arduino and SMS Gateway

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IOP Conference Series: Materials Science and engineering 2018年第1期407卷

作者： R Ratnadewi H Nurdiyanto A Najmurrokhman C Prabowo R Idmayanti H Eteruddin C A Sugianto N Kurniasih H K Siburian D Nababan R Rahim Electrical Engineering Universitas Kristen Maranatha Bandung Indonesia Department of Informatics STMIK Dharma Wacana Metro Lampung Indonesia Department of Electrical Engineering Universitas Jenderal Achmad Yani Cimahi Indonesia Department of Information Technology Politeknik Negeri Padang Padang Indonesia Department of Electrical Universitas Lancang Kuning Pekanbaru Indonesia Departement of Informatics Politeknik TEDC Bandung Bandung Indonesia Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Informatics Sekolah Tinggi Manajemen Informatika dan Komputer Medan Indonesia Department of Information System Universitas Pelita Harapan Medan Medan Indonesia School of Computer and Communication Engineering Universiti Malaysia Perlis Kubang Gajah Malaysia

This paper aims to facilitate the owner to control water pump machine from the vacuum, and the condition of the water is it full or not in house or apartment. The current control system still has many limitations in controlling the water pump machine at home or apartment. The water machine control system was designed with device that has a smart surveillance system that can be accessed with Android smartphone and all information from or to machine control system will command by using SMS, this device create a development of Arduino UNO microcontroller technology that allows the reading of the GSM Module and connected with SMS Gateway. Experiment results facilitate real-time water control and much easy for the owner to control water tank.

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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Genetics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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Genome-wide association study of long COVID

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Nature Genetics 2025年 1-16页

作者： Lammi, Vilma Nakanishi, Tomoko Jones, Samuel E. Andrews, Shea J. Karjalainen, Juha Cortés, Beatriz O’Brien, Heath E. Ochoa-Guzman, Ana Fulton-Howard, Brian E. Broberg, Martin Haapaniemi, Hele H. Kanai, Masahiro Pirinen, Matti Schmidt, Axel Mitchell, Ruth E. Mousas, Abdou Mangino, Massimo Huerta-Chagoya, Alicia Sinnott-Armstrong, Nasa Cirulli, Elizabeth T. Vaudel, Marc Kwong, Alex S. F. Maiti, Amit K. Marttila, Minttu M. Posner, Daniel C. Rodriguez, Alexis A. Batini, Chiara Minnai, Francesca Dearman, Anna R. Warmerdam, C. A. Robert Sequeros, Celia B. Winkler, Thomas W. Jordan, Daniel M. Rešcenko, Raimonds Miano, Lorenzo Lane, Jacqueline M. Chung, Ryan K. Guillen-Guio, Beatriz Leavy, Olivia C. Carvajal-Silva, Laura Aguilar-Valdés, Kevin Frangione, Erika Guare, Lindsay Vergasova, Ekaterina Marouli, Eirini Striano, Pasquale Zainulabid, Ummu Afeera Kumar, Ashutosh Ahmad, Hajar Fauzan Edahiro, Ryuya Azekawa, Shuhei Maj, Carlo Pensel, Max C. Miller, Abigail Nöthen, Markus M. Behzad, Pari Schultz, Sonja Heggemann, Julia Balla, Daniella Morrison, David R. Mooser, Vincent Perley, Danielle Ragoussis, Jiannis Rousseau, Simon Shi, Fangyi Lathrop, G. Mark Yanishevsky, Solomia Laurent, Laetitia Auld, Daniel Bertrand, Mylene Boisclair, Ariane Bourque, Guillaume Bujold, David Durand, Madeleine Adra, Darin St-Cyr, Janick Niemi, Mari E. K. Iyengar, Sudha K. Cai, Tianxi Cho, Kelly Sarvadhavabhatla, Sannidhi Donaire, Maria Sophia Valenzuela-Jorquera, Héctor Lamoza, Eduardo Arévalo, Tamara V. Retamales-Ortega, Rocío Sanhueza, Sergio Selman, Carolina S. Silva, Andrea X. Alarcon, Teresa A. Martínez, Matías F. Quiroga, Romina Zuñiga-Pacheco, Paula Zapata-Contreras, Daniela Yáñez, Cristian E. Quiñones, Luis A. Tobar-Calfucoy, Eduardo A. Monardes-Ramírez, Virginia A. Signore, Iskra A. Guajardo, Lissette G. Figueroa, Alvaro Oróstica, Karen Y. Muñoz, Christian A. Fuentes-Guajardo, Macarena Bocchieri, Pamela Cabrera, Camilo Echeverria, Cesar A. Cerpa, Leslie C. Donoso, Gerardo Gutiérrez-Richards, Scarlett Nova-Lamperti, Estefania Saez Hidalgo Institute for Molecular Medicine Finland (FIMM) Helsinki Institute of Life Science (HiLIFE) University of Helsinki Helsinki Finland Department of Human Genetics McGill University Montreal QC Canada Centre for Clinical Epidemiology Department of Medicine Lady Davis Institute Jewish General Hospital McGill University Montreal QC Canada Kyoto-McGill International Collaborative Program in Genomic Medicine Graduate School of Medicine Kyoto University Kyoto Japan Department of Genome Informatics Graduate School of Medicine the University of Tokyo Tokyo Japan Research Fellow Japan Society for the Promotion of Science Tokyo Japan Department of Psychiatry and Behavioral Sciences University of California San Francisco San Francisco CA United States Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA United States Stanley Center for Psychiatric Research Broad Institute of Harvard and MIT Cambridge MA United States Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA United States Genomes for Life-GCAT Lab CORE Program Germans Trias i Pujol Research Institute (IGTP) Badalona Spain Grup de REcerca en Impacte de les Malalties Cròniques i les seves Trajectòries (GRIMTra) Barcelona Spain Sano Genetics Limited London United Kingdom Unidad de Biología Molecular y Medicina Genómica Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán Mexico City Mexico Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York City NY United States Broad Institute Cambridge MA United States Analytical and Translational Genetics Unit Massachusetts General Hospital Harvard Medical School Boston MA United States Department of Mathematics and Statistics University of Helsinki Helsinki Finland Department of Public Health University of Helsinki Helsinki Finland Institute of Human Genetics University of Bonn School of Medicine and University Hospital Bonn Bonn Germany MRC Integrat

Infections can lead to persistent symptoms and diseases such as shingles after varicella zoster or rheumatic fever after streptococcal infections. Similarly, severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection can result in long coronavirus disease (COVID), typically manifesting as fatigue, pulmonary symptoms and cognitive dysfunction. The biological mechanisms behind long COVID remain unclear. We performed a genome-wide association study for long COVID including up to 6,450 long COVID cases and 1,093,995 population controls from 24 studies across 16 countries. We discovered an association of FOXP4 with long COVID, independent of its previously identified association with severe COVID-19. The signal was replicated in 9,500 long COVID cases and 798,835 population controls. Given the transcription factor FOXP4’s role in lung physiology and pathology, our findings highlight the importance of lung function in the pathophysiology of long COVID. © The Author(s) 2025.

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Author Correction: Federated learning enables big data for rare cancer boundary detection

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Nature communications 2023年第1期14卷 436页

作者： Sarthak Pati Ujjwal Baid Brandon Edwards Micah Sheller Shih-Han Wang G Anthony Reina Patrick Foley Alexey Gruzdev Deepthi Karkada Christos Davatzikos Chiharu Sako Satyam Ghodasara Michel Bilello Suyash Mohan Philipp Vollmuth Gianluca Brugnara Chandrakanth J Preetha Felix Sahm Klaus Maier-Hein Maximilian Zenk Martin Bendszus Wolfgang Wick Evan Calabrese Jeffrey Rudie Javier Villanueva-Meyer Soonmee Cha Madhura Ingalhalikar Manali Jadhav Umang Pandey Jitender Saini John Garrett Matthew Larson Robert Jeraj Stuart Currie Russell Frood Kavi Fatania Raymond Y Huang Ken Chang Carmen Balaña Jaume Capellades Josep Puig Johannes Trenkler Josef Pichler Georg Necker Andreas Haunschmidt Stephan Meckel Gaurav Shukla Spencer Liem Gregory S Alexander Joseph Lombardo Joshua D Palmer Adam E Flanders Adam P Dicker Haris I Sair Craig K Jones Archana Venkataraman Meirui Jiang Tiffany Y So Cheng Chen Pheng Ann Heng Qi Dou Michal Kozubek Filip Lux Jan Michálek Petr Matula Miloš Keřkovský Tereza Kopřivová Marek Dostál Václav Vybíhal Michael A Vogelbaum J Ross Mitchell Joaquim Farinhas Joseph A Maldjian Chandan Ganesh Bangalore Yogananda Marco C Pinho Divya Reddy James Holcomb Benjamin C Wagner Benjamin M Ellingson Timothy F Cloughesy Catalina Raymond Talia Oughourlian Akifumi Hagiwara Chencai Wang Minh-Son To Sargam Bhardwaj Chee Chong Marc Agzarian Alexandre Xavier Falcão Samuel B Martins Bernardo C A Teixeira Flávia Sprenger David Menotti Diego R Lucio Pamela LaMontagne Daniel Marcus Benedikt Wiestler Florian Kofler Ivan Ezhov Marie Metz Rajan Jain Matthew Lee Yvonne W Lui Richard McKinley Johannes Slotboom Piotr Radojewski Raphael Meier Roland Wiest Derrick Murcia Eric Fu Rourke Haas John Thompson David Ryan Ormond Chaitra Badve Andrew E Sloan Vachan Vadmal Kristin Waite Rivka R Colen Linmin Pei Murat Ak Ashok Srinivasan J Rajiv Bapuraj Arvind Rao Nicholas Wang Ota Yoshiaki Toshio Moritani Sevcan Turk Joonsang Lee Snehal Prabhudesai Fanny Morón Jacob Mandel Konstantinos Kamnitsas Ben Glocker Luke V M Dixon Matthew Williams Peter Zamp Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA. Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Informatics Technical University of Munich Munich Bavaria Germany. Intel Corporation Santa Clara CA USA. Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany. Clinical Cooperation Unit Neuropathology German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ) Heidelberg Germany. Department of Neuropathology Heidelberg University Hospital Heidelberg Germany. Division of Medical Image Computing German Cancer Research Center Heidelberg Germany. Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany. Neurology Clinic Heidelberg University Hospital Heidelberg Germany. Department of Radiology & Biomedical Imaging University of California San Francisco San Francisco CA USA. Symbiosis Center for Medical Image Analysis Symbiosis International University Pune Maharashtra India. Department of Neuroimaging and Interventional Radiology National Institute of Mental Health and Neurosciences Bangalore Karnataka India. Department of Radiology School of Medicine and Public Health University of Wisconsin Madison WI USA. Department of Medical Physics School of Medicine and Public Health University of Wisconsin Madison WI USA. Leeds Teaching Hospitals Trust Department of Radiology Leeds UK. Department of Radiology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA USA. Catalan Institute of Oncology Badalona Spain. Consorci MAR Parc de Salut de Barcelona Catalonia Spain. Department of Radiology (IDI

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Web based testing application security system using semantic comparison method

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IOP Conference Series: Materials Science and engineering 2018年第1期420卷

作者： Akbar Iskandar Muhammad Resa Fahlepi Tuasamu Suryadi Syamsu M Mansyur Tri Listyorini Sulfikar Sallu S Supriyono Kundharu Saddhono Darmawan Napitupulu Robbi Rahim Informatics Engineering STMIK AKBA Makassar Indonesia. Graduate Program Universitas Negeri Makassar Makassar Indonesia. Informatics Engineering Universitas Maria Kudus Central Java Indonesia. Computer Information Systems Universitas Sembilan Belas November Kolaka Indonesia. Department of Geography Education Universitas Prof Dr Hazairin SH Bengkulu Indonesia. Indonesian Language Education Departement Faculty of Teacher Training and Education Universitas Sebelas Maret Surakarta Indonesia. Research Center for Quality System and Testing Technology Indonesian Institute of Sciences Indonesia. Sekolah Tinggi Ilmu Manajemen Sukma Medan Indonesia

Computer and web security system is an attempt to avoid attacks from crackers because a form and method of crime on internet network can not be predicted. Therefore, we just keep trying to use various methods in securing the system that is running. It is the same in web testing that can be accessed online by people who are not responsible from along distance to change and remove the test results or even damage the web testing system. So, the purpose of this paper is to design and implement web security testing system by using semantic comparison method to avoid structured query language injection (SQLI) attack and to do security on web testing application using Message Digest 5 encryption (MD5). Research data were obtained by using direct observation and documentation and literature review. After the design and application of the system, it can be obtained that by using semantic comparison method in web testing can prevent the occurrence of SQL injection attacks and can secure account from web testing users by using MD5.

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Anatomic prosthesis modelling based on descriptors by Cubic Bézier Curves 45

Anatomic prosthesis modelling based on descriptors by Cubic ...

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45th International Conference on Computers and Industrial engineering, CIE 2015

作者： Rudek, M. Gumiel, Y.B. Canciglieri, O. Bichinho, G.L. Da Silveira, M. Production and System Engineering Graduate Program - PPGEPS Brazil Graduate Program in Health Technology - PPGTS Pontifical Catholic University of Parana Brazil Luxembourg Institute of Science and Technology LIST Luxembourg

This paper presents a method based on image analysis to build models of the skull prosthesis as a premanufacturing process. The method is based on Cubic Bezier Curves as descriptors of the skull bone curvature. The method performs a symbolic representation of shape in order to define the geometric parameters to fit an arc on each Computed Tomography slice. The Bezier descriptors can be used as a template for the retrieval of similar images from medical databases whose parameters match the sampled image. The similarity is measured according to the best fitness values through ABC (Artificial Bee Colony) optimization algorithm. The slices found by similarity are retrieved from different skull images in order to build the 3D model. The 3D printing parameters can be based on images extracted from different medical images to mold a customized piece. A case study shows that the proposed method is a promising technique for 3D modelling.

关键词： Prosthetics

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The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia program: Reliability and stability of measures

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Schizophrenia (Heidelberg, Germany) 2025年第1期11卷 85页

作者： Daniel H Mathalon Spero Nicholas Brian J Roach Tashrif Billah Suzie Lavoie Thomas Whitford Holly K Hamilton Lauren Addamo Andrey Anohkin Tristan Bekinschtein Aysenil Belger Kate Buccilli John Cahill Ricardo E Carrión Stefano Damiani Ilvana Dzafic Bjørn H Ebdrup Igor Izyurov Johanna Jarcho Raoul Jenni Anna Jo Sarah Kerins Clarice Lee Elizabeth A Martin Rocio Mayol-Troncoso Margaret A Niznikiewicz Muhammad Parvaz Oliver Pogarell Julio Prieto-Montalvo Rachel Rabin David R Roalf Jack Rogers Dean F Salisbury Riaz Shaik Stewart Shankman Michael C Stevens Yi Nam Suen Nicole C Swann Xiaochen Tang Judy L Thompson Ivy Tso Julian Wenzel Juan Helen Zhou Jean Addington Luis Alameda Celso Arango Nicholas J K Breitborde Matthew R Broome Kristin S Cadenhead Monica E Calkins Rolando I Castillo-Passi Eric Yu Hai Chen Jimmy Choi Philippe Conus Cheryl M Corcoran Barbara A Cornblatt Covadonga M Diaz-Caneja Lauren M Ellman Paolo Fusar-Poli Pablo A Gaspar Carla Gerber Louise Birkedal Glenthøj Leslie E Horton Christy Lai Ming Hui Joseph Kambeitz Lana Kambeitz-Ilankovic Matcheri S Keshavan Minah Kim Sung-Wan Kim Nikolaos Koutsouleris Jun Soo Kwon Kerstin Langbein Daniel Mamah Vijay A Mittal Merete Nordentoft Godfrey D Pearlson Jesus Perez Diana O Perkins Albert R Powers Fred W Sabb Jason Schiffman Jai L Shah Steven M Silverstein Stefan Smesny William S Stone Gregory P Strauss Rachel Upthegrove Swapna K Verma Jijun Wang Daniel H Wolf Tianhong Zhang Sylvain Bouix Ofer Pasternak Kang-Ik K Cho Michael J Coleman Dominic Dwyer Angela Nunez Zailyn Tamayo Stephen J Wood Rene S Kahn John M Kane Patrick D McGorry Carrie E Bearden Barnaby Nelson Scott W Woods Martha E Shenton Gregory A Light Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences University of California San Francisco San Francisco CA USA. daniel.mathalon@ucsf.edu. Mental Health Service Veterans Affairs San Francisco Health Care System San Francisco CA USA. daniel.mathalon@ucsf.edu. Mental Health Service Veterans Affairs San Francisco Health Care System San Francisco CA USA. Northern California Institute for Research and Education San Francisco CA USA. Department of Psychiatry Brigham and Women's Hospital and Harvard Medical School Boston MA USA. Orygen Parkville VIC Australia. Centre for Youth Mental Health The University of Melbourne Parkville VIC Australia. School of Psychology University of New South Wales (UNSW) Kensington NSW Australia. Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences University of California San Francisco San Francisco CA USA. University of Minnesota Minneapolis MN USA. Washington University School of Medicine St. Louis MO USA. Consciousness and Cognition Lab Department of Psychology University of Cambridge Cambridge UK. Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill NC USA. UNC Intellectual and Developmental Disabilities Research Center Carrboro NC USA. Department of Psychiatry Yale University School of Medicine New Haven CT USA. Department of Psychiatry Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Hempstead NY USA. Institute of Behavioral Science Feinstein Institutes for Medical Research Northwell Health Manhasset NY USA. Department of Brain and Behavioral Sciences University of Pavia Pavia Italy. Centre for Neuropsychiatric Schizophrenia Research CNSR Mental Health Centre Glostrup Denmark. Department of Clinical Medicine University of Copenhagen Copenhagen Denmark. Department of Psychiatry and Psychotherapy Jena University Hospital Jena Germany. Department of Psychology & Neuroscience Temple University Philad

Individuals at clinical high risk for psychosis (CHR) have variable clinical outcomes and low conversion rates, limiting development of novel and personalized treatments. Moreover, given risks of antipsychotic drugs, safer effective medications for CHR individuals are needed. The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) program was launched to address this need. Based on past CHR and schizophrenia studies, AMP SCZ assessed electroencephalography (EEG)-based event-related potential (ERP), event-related oscillation (ERO), and resting EEG power spectral density (PSD) measures, including mismatch negativity (MMN), auditory and visual P300 to target (P3b) and novel (P3a) stimuli, 40-Hz auditory steady state response, and resting EEG PSD for traditional frequency bands (eyes open/closed). Here, in an interim analysis of AMP SCZ EEG measures, we assess test-retest reliability and stability over sessions (baseline, month-2 follow-up) in CHR (n = 654) and community control (CON; n = 87) participants. Reliability was calculated as Generalizability (G)-coefficients, and changes over session were assessed with paired t-tests. G-coefficients were generally good to excellent in both groups (CHR: mean = 0.72, range = 0.49-0.85; CON: mean = 0.71, range = 0.44-0.89). Measure magnitudes significantly (p < 0.001) decreased over session (MMN, auditory and visual target P3b, visual novel P3a, 40-Hz ASSR) and/or over runs within sessions (MMN, auditory/visual novel P3a and target P3b), consistent with habituation effects. Despite these small systematic habituation effects, test-retest reliabilities of the AMP SCZ EEG-based measures are sufficiently strong to support their use in CHR studies as potential predictors of clinical outcomes, markers of illness progression, and/or target engagement or secondary outcome measures in controlled clinical trials.

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