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Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

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Eye (London, England) 2024年第11期38卷 2229-2231页

作者： Konrad Pesudovs Hugh R. Taylor Tabassom Sedighi Rupert R. A. Bourne Shahina Pardhan Van Charles Lansingh John H. Kempen Ian Tapply Arthur G. Fernandes Maria Vittoria Cicinelli Alessandro Arrigo Nicolas Leveziel Serge Resnikoff Seth Flaxman Mukkharram M. Bikbov Tasanee Braithwaite Alain Bron Ching-Yu Cheng Monte A. Del Monte Joshua R. Ehrlich Leon B. Ellwein David Friedman João M. Furtado Gus Gazzard Ronnie George M. Elizabeth Hartnett Jost B. Jonas Rim Kahloun Moncef Khairallah Rohit C. Khanna Janet Leasher Julie-Anne Little Vinay Nangia Michal Nowak Tunde Peto Pradeep Ramulu Fotis Topouzis Mitiadis Tsilimbaris Ya Xing Wang Ningli Wang Paul Svitil Briant Theo Vos Katrin Burkart Kaleb Coberly Xiaochen Dai Stephen S. Lim Tomislav Mestrovic Ali H. Mokdad Christopher J. L. Murray Jaimie D. Steinmetz Awoke Misganaw Yohannes Habtegiorgis Abate Mohammad Abdollahi Mozhan Abdollahi Ayele Mamo Abebe Olumide Abiodun Richard Gyan Aboagye Woldu Aberhe Abrha Hasan Abualruz Hiwa Abubaker Ali Eman Abu-Gharbieh Salahdein Aburuz Tadele Girum Girum Adal Mesafint Molla Adane Isaac Yeboah Addo Qorinah Estiningtyas Sakilah Adnani Muhammad Sohail Afzal Muhammad Umair Shahin Aghamiri Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Ali Ahmadi Siamak Sabour Ayman Ahmed Haroon Ahmed Ahmad Samir Alfaar Abid Ali Syed Shujait Shujait Ali Awais Altaf Hubert Amu Emmanuel Manu Sofia Androudi Rodrigo Anguita Abhishek Anil Rimple Jeet Kaur Muhammad Aaqib Shamim Saeid Anvari Anayochukwu Edward Anyasodor Francis Appiah Jalal Arabloo Haleh Ayatollahi Mosab Arafat Damelash Areda Reza Arefnezhad Brhane Berhe Aregawi Akeza Awealom Asgedom Tahira Ashraf Seyyed Shamsadin Athari Bantalem Tilaye Tilaye Atinafu Birhan Tsegaw Taye Maha Moh’d Wahbi Atout Alok Atreya Ahmed Y. Azzam Hassan Babamohamadi Sara Bagherieh Yogesh Bahurupi Atif Amin Baig Shumaila Nargus Biswajit Banik Mainak Bardhan Saurav Basu Kavita Batra Nebiyou Simegnew Bayileyegn Fatemeh Bazvand Addisu Shunu Beyene Awoke Masrie Asrat Derese Devidas S. Bhagat Akshaya Srikanth Bhagavathula Pankaj Bh Medicine & Health University of New South Wales Sydney NSW Australia School of Optometry and Vision Science University of New South Wales Sydney NSW Australia School of Population and Global Health University of Melbourne Carlton VIC Australia Vision and Eye Research Institute Anglia Ruskin University Cambridge UK HelpMeSee Instituto Mexicano de Oftalmologia Santiago de Querétaro Mexico University of Miami Gables FL USA University of Utah Salt Lake City UT USA Chief Medical Office HelpMeSee New York NY USA Mexican Institute of Ophthalmology Queretaro Mexico Department of Ophthalmology Massachusetts Eye and Ear/Shepens Eye Research Institute/Harvard Medical School Boston MA USA Eye Unit MyungSung Christian Medical Center (MCM) Comprehensive Specialized Hospital and MyungSun Medical College Addis Ababa Ethiopia Department of Ophthalmology Addis Ababa University Addis Ababa Ethiopia Sight for Souls Bellevue WA USA Department of Ophthalmology Harvard University Boston MA USA Eye Unit MyungSung Medical College Addis Ababa Ethiopia Addenbrooke’s Hospital Cambridge UK Department of Ophthalmology Cambridge University Hospitals Cambridge UK Federal University of Sao Paolo Sao Paolo SP Brazil University of Calgary Calgary AB Canada Department of Ophthalmology and Visual Sciences Federal University of São Paulo Sao Paulo Brazil School of Medicine Vita-Salute San Raffaele University Milan Italy Department of Ophthalmology IRCCS San Raffaele Scientific Institute Milan Italy Department of Ophthalmology San Raffaele Scientific Institute Milano Italy IRCCS San Raffaele Scientific Institute Vita-Salute University Milan Italy Scientific Institute San Raffaele Hospital Vita-Salute University Milan Italy University of Poitiers Poitiers France CHU de Poitiers Poitiers France Ophthalmology Department CHU de Poitiers (Poitiers University Hospital) Poitiers France Unité 1084 National Institute of Health and Medical Research (INSERM) Poitiers France

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Effect of mouth-opening levels on sound field gain in the ear canal 45

Effect of mouth-opening levels on sound field gain in the ea...

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45th International Congress and Exposition on Noise Control engineering: Towards a Quieter Future, INTER-NOISE 2016

作者： Xiao, Jimg-Hong Yu, Jen-Fang Lee, Kun-Che Chiu, Hsiu-Hui Graduate Institute of Medical Mechatronics Chang Gung University Taiwan Taiouan Interdisciplinary Otolaryngology Laboratory Chang Gung University Taiwan Ph.D. Program in Biomedical Engineering College of Engineering Chang Gung University Taiwan

The human ear canal can become deformed when the mouth opens and closes, changing the sound field in the external auditory canal. Thus, measuring the mandibular movement trajectory may provide a reference for identifying mouth-opening levels. The human ear canal can become deformed when the mouth opens and closes, changing the sound field in the external auditory canal. Thus, measuring the mandibular movement trajectory may provide a reference for identifying mouth-opening levels. The K7 system and a Frye Fonix 7000 sensor were used to perform several measurements of mouth-opening and -closing to obtain the mean maximal mouth opening level. The mandible was fixed at the 1/3, 2/3, and maximal mouth-opening levels. Subsequently, a 65-dB sweep tone, which is the sound pressure level of people talking at a normal level, was adopted as the sound stimulus to measure sound fields at 5, 10, 15, and 20 mm from the entrance of the external auditory canal. The stimulus frequencies of 200, 500, 1000, 2000, 4000, 6000, and 8000 Hz were noted. The differences in sound field gains at depths of 5, 10, 15, and 20 mm were analyzed for the various mouth-opening levels. The results show that except for the 1.70-dB decrease at a depth of 5 mm with an 8000-Hz stimulus frequency, the differences at the other depths and stimulus frequencies were within 1 dB. Thus, the mouth-opening levels will influence the gain in ear canal. © 2016, German Acoustical Society (DEGA). All rights reserved.

关键词： Acoustic fields

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The baby delivery method estimation using naïve bayes classification model for mobile application

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Journal of Physics: Conference Series 2018年第1期1120卷

作者： Ewika Nadya Iftitah Riries Rulaningtyas Ernawati Biomedical Engineering Study Program Department of Physics Airlangga University Jl. Mulyorejo Surabaya 60115 Indonesia Department of Obstetric and Gynecology Medical Faculty Airlangga University Jl. Mulyorejo Surabaya 60115 Indonesia

The maternal mortality rate because of cesarean delivery is still high caused by lack of knowledge of pregnant women about the high risk of pregnancy. Cesarean delivery is an alternative labor but remains at high risk for both mother and fetus. The awareness of the mother to check her pregnancy early and precisely is very important. To support the awareness attitude of pregnant women to their health, so in this research has made an application program for the mobile application based on Android by using Naïve Bayes classification model to predict early childbirth process that will be undertaken. From this research, it can be concluded that the application of the baby delivery method estimation with Naïve Bayes model based on Android can educate pregnant women about high-risk pregnancy condition and prediction of delivery method that will be done with 90% accuracy, 100% sensitivity, and 80% specificity.

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Publisher Correction: Serotonin signals through a gut-liver axis to regulate hepatic steatosis

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Nature communications 2019年第1期10卷 158页

作者： Wonsuk Choi Jun Namkung Inseon Hwang Hyeongseok Kim Ajin Lim Hye Jung Park Hye Won Lee Kwang-Hyub Han Seongyeol Park Ji-Seon Jeong Geul Bang Young Hwan Kim Vijay K Yadav Gerard Karsenty Young Seok Ju Chan Choi Jae Myoung Suh Jun Yong Park Sangkyu Park Hail Kim Graduate School of Medical Science and Engineering KAIST Daejeon 34141 Republic of Korea. Department of Biochemistry Yonsei University Wonju College of Medicine Wonju 26426 Republic of Korea. Biomedical Science and Engineering Interdisciplinary Program KAIST Daejeon 34141 Republic of Korea. Department of Internal Medicine Yonsei University College of Medicine Yonsei Liver Center Severance Hospital Seoul 03722 Republic of Korea. Center for Bioanalysis Division of Metrology for Quality of Life Korea Research Institute of Standards and Science Daejeon 34113 Republic of Korea. Biomedical Omics Group Korea Basic Science Institute Chungbuk 28119 Republic of Korea. Department of Genetics and Development Columbia University Medical Center New York NY 10032 USA. Department of Pathology Chonnam National University Medical School Gwangju 61469 Republic of Korea. Department of Internal Medicine Yonsei University College of Medicine Yonsei Liver Center Severance Hospital Seoul 03722 Republic of Korea. drpjy@yuhs.ac. Graduate School of Medical Science and Engineering KAIST Daejeon 34141 Republic of Korea. 49park@cku.ac.kr. Department of Biochemistry College of Medicine Catholic Kwandong University Gangneung 25601 Republic of Korea. 49park@cku.ac.kr. Graduate School of Medical Science and Engineering KAIST Daejeon 34141 Republic of Korea. hailkim@kaist.edu. Biomedical Science and Engineering Interdisciplinary Program KAIST Daejeon 34141 Republic of Korea. hailkim@kaist.edu. KAIST Institute for the BioCentury KAIST Daejeon 34141 Republic of Korea. hailkim@kaist.edu.

The originally published version of this Article contained an error in Figure 2. In panel g, the image of brown adipose tissue from SCD-fed Tph1 GKO mice (top-right) was inadvertently replaced with the equivalent image of SCD-fed WT mice (top-left) during assembly of the figure. This error has now corrected in both the PDF and HTML versions of the Article.

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Author Correction: Proteogenomic landscape of human pancreatic ductal adenocarcinoma in an Asian population reveals tumor cell-enriched and immune-rich subtypes

Nature cancer

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Nature cancer 2023年 2023 May 19页

作者： Do Young Hyeon Dowoon Nam Youngmin Han Duk Ki Kim Gibeom Kim Daeun Kim Jingi Bae Seunghoon Back Dong-Gi Mun Inamul Hasan Madar Hangyeore Lee Su-Jin Kim Hokeun Kim Sangyeop Hyun Chang Rok Kim Seon Ah Choi Yong Ryoul Kim Juhee Jeong Suwan Jeon Yeon Woong Choo Kyung Bun Lee Wooil Kwon Seunghyuk Choi Taewan Goo Taesung Park Young-Ah Suh Hongbeom Kim Ja-Lok Ku Min-Sik Kim Eunok Paek Daechan Park Keehoon Jung Sung Hee Baek Jin-Young Jang Daehee Hwang Sang-Won Lee School of Biological Sciences Seoul National University Seoul Republic of Korea. Department of Chemistry and Center for Proteogenome Research Korea University Seoul Republic of Korea. Department of Surgery and Cancer Research Institute Seoul National University College of Medicine Seoul Republic of Korea. Department of Anatomy and Cell Biology and Department of Biomedical Sciences Seoul National University College of Medicine Seoul Republic of Korea. Graduate School of Medical Science and Engineering Korea Advanced Institute of Science and Technology (KAIST) Seoul Republic of Korea. Creative Research Initiatives Center for Epigenetic Code and Diseases Seoul National University Seoul Republic of Korea. Department of Biological Sciences College of Natural Sciences and Department of Molecular Science and Technology Ajou University Suwon Republic of Korea. Department of Pathology Seoul National University College of Medicine Seoul Korea. Department of Computer Science Hanyang University Seoul Republic of Korea. Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. Department of Statistics Seoul National University Seoul Republic of Korea. Korean Cell Line Bank Laboratory of Cell Biology Cancer Research Institute Seoul National University College of Medicine Seoul Korea. Department of New Biology Daegu Gyeongbuk Institute of Science and Technology Daegu Republic of Korea. Department of Biological Sciences College of Natural Sciences and Department of Molecular Science and Technology Ajou University Suwon Republic of Korea. dpark@ajou.ac.kr. Department of Anatomy and Cell Biology and Department of Biomedical Sciences Seoul National University College of Medicine Seoul Republic of Korea. keehoon.jung@snu.ac.kr. Institute of Allergy and Clinical Immunology Seoul National University Medical Research Center Seoul Republic of Korea. keehoon.jung@snu.ac.kr. School of Biological Sciences Seoul National University Seoul Republic of

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Linking Symptom Inventories using Semantic Textual Similarity

arXiv

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arXiv 2023年

作者： Kennedy, Eamonn Vadlamani, Shashank Lindsey, Hannah M. Peterson, Kelly S. O'Connor, Kristen Dams Murray, Kenton Agarwal, Ronak Amiri, Houshang H. Andersen, Raeda K. Babikian, Talin Baron, David A. Bigler, Erin D. Caeyenberghs, Karen Delano-Wood, Lisa Disner, Seth G. Dobryakova, Ekaterina Eapen, Blessen C. Edelstein, Rachel M. Esopenko, Carrie Genova, Helen M. Geuze, Elbert Goodrich-Hunsaker, Naomi J. Grafman, Jordan Håberg, Asta K. Hodges, Cooper B. Hoskinson, Kristen R. Hovenden, Elizabeth S. Irimia, Andrei Jahanshad, Neda Jha, Ruchira M. Keleher, Finian Kenney, Kimbra Koerte, Inga K. Liebel, Spencer W. Livny, Abigail Løvstad, Marianne Martindale, Sarah L. Max, Jeffrey E. Mayer, Andrew R. Meier, Timothy B. Menefee, Deleene S. Mohamed, Abdalla Z. Mondello, Stefania Monti, Martin M. Morey, Rajendra A. Newcombe, Virginia Newsome, Mary R. Olsen, Alexander Pastorek, Nicholas J. Pugh, Mary Jo Razi, Adeel Resch, Jacob E. Rowland, Jared A. Russell, Kelly Ryan, Nicholas P. Scheibel, Randall S. Schmidt, Adam T. Spitz, Gershon Stephens, Jaclyn A. Tal, Assaf Talbert, Leah D. Tartaglia, Maria Carmela Taylor, Brian A. Thomopoulos, Sophia I. Troyanskaya, Maya Valera, Eve M. van der Horn, Harm Jan Van Horn, John D. Verma, Ragini Wade, Benjamin S.C. Walker, Willian S.C. Ware, Ashley L. Werner, J. Kent Yeates, Keith Owen Zafonte, Ross D. Zeineh, Michael M. Zielinski, Brandon Thompson, Paul M. Hillary, Frank G. Tate, David F. Wilde, Elisabeth A. Dennis, Emily L. Department of Neurology University of Utah School of Medicine Salt Lake CityUT United States George E. Wahlen Veterans Affairs Medical Center Salt Lake CityUT United States Division of Epidemiology University of Utah Salt Lake CityUT United States Office of Analytics and Performance Integration [VHA United States Department of Rehabilitation and Human Performance Icahn School of Medicine at Mount Sinai New YorkNY United States Department of Neurology Icahn School of Medicine at Mount Sinai New YorkNY United States Human Language Technologies Center of Excellence Johns Hopkins University BaltimoreMD United States Neuroscience Research Center Institute of Neuropharmacology Kerman University of Medical Sciences Kerman Iran Department of Radiology and Nuclear Medicine Vrije Universiteit Amsterdam Amsterdam UMC Location VUmc Amsterdam Netherlands Crawford Research Institute Shepherd Center AtlantaGA United States Department of Sociology Georgia State University AtlantaGA United States Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior UCLA Los AngelesCA United States UCLA BrainSPORT Program Los AngelesCA United States Center for Behavioral Health and Sport Dept. of Psychiatry Western University of Health Sciences Lebanon OR PomonaCA United States Department of Psychology Neuroscience Center Brigham Young University ProvoUT United States Department of Psychiatry University of Utah Salt Lake CityUT United States Cognitive Neuroscience Unit School of Psychology Deakin University Geelong Australia VA San Diego Healthcare System Center of Stress and Mental Health Department of Psychiatry UC San Diego School of Medicine San DiegoCA United States Department of Psychiatry UC San Diego School of Medicine San DiegoCA United States Minneapolis VA Health Care System MinneapolisMN United States Department of Psychiatry University of Minnesota MinneapolisMN United States Center for Traumatic Brain

An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues. Most notably, results drawn from different settings and studies are not comparable, which limits reproducibility. Here, we present an artificial intelligence (AI) approach using semantic textual similarity (STS) to link symptoms and scores across previously incongruous symptom inventories. We tested the ability of four pre-trained STS models to screen thousands of symptom description pairs for related content - a challenging task typically requiring expert panels. Models were tasked to predict symptom severity across four different inventories for 6,607 participants drawn from 16 international data sources. The STS approach achieved 74.8% accuracy across five tasks, outperforming other models tested. This work suggests that incorporating contextual, semantic information can assist expert decision-making processes, yielding gains for both general and disease-specific clinical assessment. © 2023, CC BY-NC-SA.

关键词： Decision making

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Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

arXiv

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arXiv 2021年

作者： Scott, Ryan T. Antonsen, Erik L. Sanders, Lauren M. Hastings, Jaden J.A. Park, Seung-Min Mackintosh, Graham Reynolds, Robert J. Hoarfrost, Adrienne L. Sawyer, Aenor Greene, Casey S. Glicksberg, Benjamin S. Theriot, Corey A. Berrios, Daniel C. Miller, Jack Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Chalk, Stuart Delgado-Aparicio, Guillermo M. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Kalantari, John Khezeli, Kia Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Martin, Hector Garcia Mason, Christopher E. Matar, Mona Mias, George I. Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Parsons-Wingerter, Patricia Prabhu, R.K. Qutub, Amina Ann Rask, Jon Saravia-Butler, Amanda Saria, Suchi Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Yang, Jason H. Zitnik, Marinka Costes, Sylvain V. KBR Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Department of Urology Department of Radiology Stanford University School of Medicine StanfordCA94305 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett FieldCA94035 United States Mortality Research & Consulting Inc. HoustonTX77058 United States Space Biosciences Division NASA Ames Research Center Moffett FieldCA94035 United States UC Space Health Department of Orthopaedic Surgery University of California San Francisco San FranciscoCA94143 United States Center for Health AI Department of Biochemistry and Molecular Genetics University of Colorado School of Medicine Anschutz Medical Campus AuroraCO80045 United States Hasso Plattner Institute for Digital Health at Mount Sinai Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New YorkNY10065 United States Department of Preventive Medicine and Community Health UTMB GalvestonTX77551 United States Human Health and Performance Directorate NASA Johnson Space Center HoustonTX77058 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Data Scienc

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses;analyze and predict personalized adverse health outcomes;adapt and respond to newly accumulated data;and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. In the next decade, biomonitoring technology, biomarker science, spacecraft hardware, intelligent software, and streamlined data management must mature and be woven together into a Precision Space Health system to enable humanity to thrive in deep space. © 2021, CC BY.

关键词： Earth (planet)

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Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

arXiv

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arXiv 2021年

作者： Sanders, Lauren M. Yang, Jason H. Scott, Ryan T. Qutub, Amina Ann Martin, Hector Garcia Berrios, Daniel C. Hastings, Jaden J.A. Rask, Jon Mackintosh, Graham Hoarfrost, Adrienne L. Chalk, Stuart Kalantari, John Khezeli, Kia Antonsen, Erik L. Babdor, Joel Barker, Richard Baranzini, Sergio E. Beheshti, Afshin Delgado-Aparicio, Guillermo M. Glicksberg, Benjamin S. Greene, Casey S. Haendel, Melissa Hamid, Arif A. Heller, Philip Jamieson, Daniel Jarvis, Katelyn J. Komarova, Svetlana V. Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Mason, Christopher E. Matar, Mona Mias, George I. Miller, Jack Myers, Jerry G. Nelson, Charlotte Oribello, Jonathan Park, Seung-Min Parsons-Wingerter, Patricia Prabhu, R.K. Reynolds, Robert J. Saravia-Butler, Amanda Saria, Suchi Sawyer, Aenor Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik Theriot, Corey A. van Valen, David Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Zitnik, Marinka Costes, Sylvain V. Blue Marble Space Institute of Science Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Center for Emerging and Re-Emerging Pathogens Department of Microbiology Biochemistry and Molecular Genetics Rutgers New Jersey Medical School NewarkNJ07103 United States KBR Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States AI MATRIX Consortium Department of Biomedical Engineering University of Texas San Antonio and UT Health Sciences San AntonioTX78249 United States Biological Systems and Engineering Division Lawrence Berkeley National Lab. BerkeleyCA94608 United States DOE Agile BioFoundry EmeryvilleCA94608 United States Joint BioEnergy Institute EmeryvilleCA94608 United States Department of Physiology and Biophysics Weill Cornell Medicine New YorkNY10065 United States Office of the Center Director NASA Ames Research Center Moffett Field CA94035 United States Bay Area Environmental Research Institute NASA Ames Research Center Moffett Field CA94035 United States Space Biosciences Division NASA Ames Research Center Moffett Field CA94035 United States Department of Chemistry University of North Florida JacksonvilleFL32224 United States Center for Individualized Medicine Department of Surgery Department of Quantitative Health Sciences Mayo Clinic RochesterMN55905 United States Department of Emergency Medicine Center for Space Medicine Baylor College of Medicine HoustonTX77030 United States Department of Microbiology and Immunology Department of Otolaryngology Head and Neck Surgery University of California San Francisco San FranciscoCA94143 United States The Gilroy AstroBiology Research Group The University of Wisconsin - Madison MadisonWI53706 United States Weill Institute for Neurosciences Department of Neurology University of California San Francisco San FranciscoCA94158 United States Data Science Analytics Georgia Institute of Technology Lima15024

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space. © 2021, CC BY.

关键词： Predictive analytics

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Scientists Against War: A Plea to World Leaders for Better Governance

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Sleep and vigilance 2022年第1期6卷 1-6页

作者： Seithikurippu R Pandi-Perumal Velayudhan Mohan Kumar Namasivayam Ganesh Pandian Joop T de Jong Sudalaikannu Andiappan Alexandru Corlateanu Arehally Marappa Mahalaksmi Saravana Babu Chidambaram Ramasamy Rajesh Kumar Chellamuthu Ramasubramanian Sudhakar Sivasubramaniam Alvhild Alette Bjørkum JosAnn Cutajar Michael Berk Ilya Trakht Anton Vrdoljak Miguel Meira E Cruz Harris A Eyre Janne Grønli Dainiel P Cardinali Andreas Maercker Willem A C M van de Put Jaswant Guzder Bjørn Bjorvatn Wietse A Tol Darío Acuña-Castroviejo Marie Meudec Charles M Morin Markku Partinen Corrado Barbui Mark J D Jordans Mario H Braakman Christine Knaevelsrud Ståle Pallesen Marit Sijbrandij Diego Andrés Golombek Colin A Espie Pim Cuijpers Hernán Andrés Marín Agudelo Koos van der Velden Bessel A van der Kolk Stevan E Hobfoll Walter L J M Devillé Michael Gradisar Dieter Riemann John Axelsson Gloria Benítez-King Robert D Macy Vitalii Poberezhets Samuel Ratnajeevan Herbert Hoole Rangaswamy Srinivasa Murthy Thomas Hegemann Andreas Heinz Jane Salvage Alexander C McFarlane Rob Keukens Harendra de Silva Cornelia Oestereich Jochen Wilhelm Michael von Cranach Klaus Hoffmann Matthias Klosinski Dinesh Bhugra Mary V Seeman Somnogen Canada Inc. College Street Toronto Canada. Saveetha Medical College and Hospitals Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India. Kerala Chapter National Academy of Medical Sciences (India) New Delhi India. Institute for Integrated Cell-Material Sciences (WPI-iCeMS) A210 Kyoto University Institute for Advanced Study Yoshida Ushinomiya-cho Sakyo-ku Kyoto 606-8501 Japan. Department of Cultural Psychiatry and Global Mental Health Amsterdam UMC Amsterdam The Netherlands. Boston University School of Medicine Boston USA. Department of Gandhian Studies and Ramalingar Philosophy School of Religions Philosophy and Humanist Thought Madurai Kamaraj University Madurai Tamil Nadu India. Department of Respiratory Medicine Nicolae Testemitanu State University of Medicine and Pharmacy Chisinau Moldova. Department of Pharmacology JSS College of Pharmacy JSS Academy of Higher Education and Research Mysuru 570015 India. Global Community Educational Foundation (NGCEF) 7 Peterlee Pl Hebersham NSW 2770 Australia. Division of Community Psychiatry M. S. Chellamuthu Trust and Research Foundation Madurai India. Department of Biotechnology Manonmaniam Sundaranar University Tirunelveli Tamil Nadu 627012 India. Department of Safety Chemistry and Biomedical Laboratory Sciences Faculty of Engineering and Science Western Norway University of Applied Sciences Kronstad Bergen Norway. Department of Gender and Sexualities Faculty for Social Wellbeing University of Malta Room # 114 Guze Cassar Pullicino Building Msida 2080 MSD Malta. Deakin University The Institute for Mental and Physical Health and Clinical Translation (IMPACT) School of Medicine Barwon Health Geelong Australia. Department of Medicine Columbia University New York NY USA. Faculty of Civil Engineering Architecture and Geodesy University of Mostar Kampus Sveučilišta Maticehrvatskeb. b 88000 Mostar Bosnia and Herzegovina. Centro Cardiovascular da Universidade de Lisboa

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Precision and accuracy of single-molecule FRET measurements-a multi-laboratory benchmark study (vol 15, pg 984, 2018)

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NATURE METHODS 2018年第11期15卷 984-984页

作者： Hellenkamp, Bjorn Schmid, Sonja Doroshenko, Olga Opanasyuk, Oleg Kuhnemuth, Ralf Adariani, Soheila Rezaei Ambrose, Benjamin Aznauryan, Mikayel Barth, Anders Birkedal, Victoria Bowen, Mark E. Chen, Hongtao Cordes, Thorben Eilert, Tobias Fijen, Carel Gebhardt, Christian Gotz, Markus Gouridis, Giorgos Gratton, Enrico Ha, Taekjip Hao, Pengyu Hanke, Christian A. Hartmann, Andreas Hendrix, Jelle Hildebrandt, Lasse L. Hirschfeld, Verena Hohlbein, Johannes Hua, Boyang Hubner, Christian G. Kallis, Eleni Kapanidis, Achillefs N. Kim, Jae-Yeol Krainer, Georg Lamb, Don C. Lee, Nam Ki Lemke, Edward A. Levesque, Brie Levitus, Marcia McCann, James J. Naredi-Rainer, Nikolaus Nettels, Daniel Thuy Ngo Qiu, Ruoyi Robb, Nicole C. Rocker, Carlheinz Sanabria, Hugo Schlierf, Michael Schroder, Tim Schuler, Benjamin Seidel, Henning Streit, Lisa Thurn, Johann Tinnefeld, Philip Tyagi, Swati Vandenberk, Niels Vera, Andres Manuel Weninger, Keith R. Wunsch, Bettina Yanez-Orozco, Inna S. Michaelis, Jens Seidel, Claus A. M. Craggs, Timothy D. Hugel, Thorsten Institute of Physical Chemistry University of Freiburg Freiburg im Breisgau Germany Engineering and Applied Sciences Columbia University New York NY USA Department of Bionanoscience Kavli Institute of Nanoscience Delft Delft University of Technology Delft the Netherlands Molecular Physical Chemistry Heinrich-Heine-Universität Düsseldorf Düsseldorf Germany Department of Physics and Astronomy Clemson University Clemson SC USA Department of Chemistry University of Sheffield Sheffield UK Interdisciplinary Nanoscience Center (iNANO) and Department of Chemistry Aarhus University Aarhus Denmark Physical Chemistry Department of Chemistry Nanosystems Initiative Munich (NIM) Center for Integrated Protein Science Munich (CiPSM) and Center for Nanoscience (CeNS) Ludwig-Maximilians-Universität München Munich Germany Department of Physiology & Biophysics Stony Brook University Stony Brook NY USA Department of Biomedical Engineering University of California Irvine Irvine CA USA Molecular Microscopy Research Group Zernike Institute for Advanced Materials University of Groningen Groningen the Netherlands Physical and Synthetic Biology Faculty of Biology Ludwig-Maximilians-Universität München Planegg-Martinsried Germany Institute for Biophysics Ulm University Ulm Germany Laboratory of Biophysics Wageningen University & Research Wageningen the Netherlands Department of Biomedical Engineering John Hopkins University Baltimore MD USA Department of Physics North Carolina State University Raleigh NC USA B CUBE—Center for Molecular Bioengineering TU Dresden Dresden Germany Laboratory for Photochemistry and Spectroscopy Department of Chemistry University of Leuven Leuven Belgium Dynamic Bioimaging Lab Advanced Optical Microscopy Center and Biomedical Research Institute Hasselt University Hasselt Belgium Institute of Physics University of Lübeck Lübeck Germany Microspectroscopy Research Facility Wageningen Wageningen University & Research Wageningen the Netherla

Single-molecule Förster resonance energy transfer (smFRET) is increasingly being used to determine distances, structures, and dynamics of biomolecules in vitro and in vivo. However, generalized protocols and FRET standards to ensure the reproducibility and accuracy of measurements of FRET efficiencies are currently lacking. Here we report the results of a comparative blind study in which 20 labs determined the FRET efficiencies (E) of several dye-labeled DNA duplexes. Using a unified, straightforward method, we obtained FRET efficiencies with s.d. between ±0.02 and ±0.05. We suggest experimental and computational procedures for converting FRET efficiencies into accurate distances, and discuss potential uncertainties in the experiment and the modeling. Our quantitative assessment of the reproducibility of intensity-based smFRET measurements and a unified correction procedure represents an important step toward the validation of distance networks, with the ultimate aim of achieving reliable structural models of biomolecular systems by smFRET-based hybrid methods.

关键词： Biophysical methods DNA Fluorescence resonance energy transfer Single-molecule biophysics Structure determination

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