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I see sick people: Beliefs about sensory detection of infectious disease are largely consistent across cultures

Brain, Behavior, and Immunity 2025年 128卷 737-750页

作者： Ackerman, Joshua M. Samore, Theodore Fessler, Daniel M.T. Kupfer, Tom R. Choi, Soyeon Merrell, Wilson N. Aarøe, Lene Aavik, Toivo Acabado, Stephen Akello, Grace Alfian, Ilham N. Al-Shawaf, Laith Alvarez, Marinés M. Ammann, Jeanine Arikan, Gizem Asha, Saiyeda A. Astobiza, Anibal M. Baeza-Ugarte, Carmen G. Barclay, Pat Barlow, Fiona Kate Bizarro, Lisiane Bressan, Paola Castellanos-Chacón, Andres Choy, Bryan K.C. Chusairi, Achmad Contreras-Garduño, Jorge Chávez Cosamalón, Brenda L. Costa-Neves, Bernardo De, Mallika de Lima, Tiago J.S. de Zoysa, Piyanjali Dryžaitė, Ieva Elbæk, Christian T. Fedor, Peter Fernández, Ana M. Fernandez-Morales, Regina Fülöp, Márta Gamsakhurdia, Vladimer Lado Garcia-Gómez, Leonor Garcia-Marques, Leonel Garduño-Franco, Jimena Pilar Grazioso, María del Habacht, Fanny Hasan, Youssef Haugestad, Camila P. Haugestad, Christian A.P. Havlíček, Jan Hernandez, Earl J. Hoang, Vu M. Hong, Minsung Hromatko, Ivana Iliško, Dzintra Imada, Hirotaka Jakšić, Ivana Jarmakowski, Tomasz Hjördísar Jónsdóttir, Harpa L. Kajokaite, Kotrina Kaňková, Šárka Kervyn, Nicolas Kim, Jinseok P. Kunst, Jonas R. Laakasuo, Michael Leongómez, Juan David Li, Norman P. Lu, Junsong Lynch, Nathan Maegli, María A. Manley, Harry Marcu, Gabriela McAfee, Thea Mitkidis, Panagiotis Molnár, Nándor B. Morvinski, Coby Muhamad, Haslina Nejat, Pegah Huy, Hoang Nguyen Oliveira, Angelica N. Olsson, Mats J. Onyishi, Charity N. Onyishi, Ike E. Orozco, Reegan Otterbring, Tobias Ottersen, Ida S. Pacheco-López, Gustavo Panagiotopoulou, Penny Paniagua, Walter Parvin, Roksana Pavlović, Zoran Prokop, Pavol Raffman, Emma Rizwan, Muhammad Rojas, Sheila Różycka-Tran, Joanna Sánchez, Oscar R. Selim, Heyla Sevi, Barış Shani, Yaniv Shastry, Madhulika S. Stieger, Stefan Suh, Eunkook M. Sumari, Melati Takemura, Kosuke Tognetti, Arnaud Trombetta, Roberta Z.R. Tybur, Joshua M. Ucak, Eylul B. Uchida, Yukiko Valentova, Jaroslava V. Viciana, Hugo Visine, Amandine Wang, Jin Wang, XT Yahiiaiev, Illia I. Zein, Rizqy A. Žeželj, Iris Department of Psychology University of Michigan Ann Arbor MI United States Religion Programme University of Otago Dunedin New Zealand Department of Anthropology University of California Los Angeles Los Angeles CA United States Center for Behavior Evolution & Culture University of California Los Angeles Los Angeles CA United States Bedari Kindness Institute University of California Los Angeles Los Angeles CA United States Department of Psychology Nottingham Trent University England Nottingham United Kingdom Department of Psychology University of Wisconsin-Madison Madison WI United States Center for the Experimental-Philosophical Study of Discrimination Aarhus University Aarhus Denmark Department of Political Science Aarhus University Aarhus Denmark Institute of Psychology University of Tartu Tartu Estonia Department of Mental Health Faculty of Medicine Gulu University Gulu Uganda Department of Psychology Universitas Airlangga East Java Indonesia Department of Psychology University of Colorado Colorado Springs Colorado Springs CO United States Department of Psychology Universidad del Valle Guatemala Guatemala City Guatemala Agroscope Research group Economic Modelling and Policy Analysis Ettenhausen Switzerland Department of Political Science Trinity College Dublin Dublin Ireland Department of Psychology International University of Business Agriculture and Technology Dhaka Bangladesh Department of Philosophy University of Granada Granada Spain Department of Psychology University of Guelph Guelph ON Canada School of Psychology University of Queensland Brisbane QLD Australia Graduate Program in Psychology Universidade Federal do Rio Grande Do Sul RS Porto Alegre Brazil Department of General Psychology University of Padova Padova Italy Faculty of Psychology Universidad El Bosque Bogotá Colombia Ministry of Defence Singapore Sustainability and Education Policy Network Saskatoon SK Canada Escuela Nacional de Estudios Superiores unid

Identifying cues to contagious disease is critical for effectively tracking and defending against interpersonal infection threats. People hold lay beliefs about the types of sensory information most relevant for identifying whether others are sick with transmissible illnesses. Are these beliefs universal, or do they vary along cultural and ecological dimensions? Participants in 58 countries (N = 19,217) judged how effective, and how likely they were to use, cues involving each of the five major sensory modalities in an imagined social interaction during a flu outbreak. Belief patterns were strongly consistent across countries (sight > audition > touch > smell > taste), suggesting a largely universal conceptualization of the role of sensory information for interpersonal respiratory disease detection. Results also support a safe senses hypothesis, with perceivers reporting that they would use senses that function at a distance—and thus reduce pathogen transmission risk—more than would be expected given participants’ beliefs as to the efficacy of these senses for disease detection. Where societal variation did emerge, it was captured by a cohesive set of socio-ecological factors, including human development, latitude, pathogen prevalence, and population density. Together, these findings reveal a shared lens through which contagious respiratory disease is assessed, one that prioritizes minimizing risk to perceivers, and may offer leverage for designing interventions to improve public health. © 2025 Elsevier Inc.

关键词： Behavioral immune system Culture Iterpersonal perception Pathogen threat Sensation Threat detection

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Evaluation of the Transport Airplane Risk Assessment Methodology 16

Evaluation of the Transport Airplane Risk Assessment Methodo...

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16th international Conference on Probabilistic Safety Assessment and Management, PSAM 2022

作者： Ligler, George T. Allison, Eric Clarke, John-Paul B. Cuellar-Hengartner, Leticia Feigh, Karen M. Guzzetti, Jeff Hinderberger, Ronald J. Mohaghegh, Zahra Morell, Paul Schilling, Jan C. Voros, Robert E. Yacoby, Amir Mozhi, Arul Walker, Linda Angleman, Alan Hartman, Colleen N. Kroo, Ilan Argrow, Brian M. Braun, Robert D. Crawley, Edward F. Gray, William R. Helms, Susan J. Karas, John C. Lacher, Andrew R. Lappos, Nicholas D. Lyles, Lester L. Manning, Valerie Moin, Parviz Pines, Darryll J. Samanta Roy, Robie I. Sigur, Wanda A. Thompson, David W. Waas, Anthony M. Yarymovych, Michael I. Zacharius, Sherrie L. Day, Dwayne Knemeyer, Margaret A. Lightfoot, Radaka Nagasawa, Daniel Naylor, Celeste A. Pilzak, Tanja Rebholz, Andrea Caflisch, Russel E. Chong, Dianne Endsley, Mica R. Fazio, Anthony F. Harris, Wesley L. Knife, Sarah Marais, Karen Quiello, Michael J. NAE GTL Associates Texas A&M University United States Joby Aviation The University of Texas Austin United States Los Alamos National Laboratory United States Georgia Institute of Technology United States Guzzetti Aviation Risk Discovery LLC The Boeing Company University of Illinois at Urbana-Champaign United States American Airlines NAE General Electric Aviation Merlin Labs LLC NAS Harvard University United States Space Studies Board and Aeronautics and Space Engineering Board Space Studies Board Aeronautics and Space Engineering Board and Board on Physics and Astronomy NAE Stanford University United States NAE University of Colorado Boulder United States NAE NASA Jet Propulsion Laboratory NAE Massachusetts Institute of Technology United States United States Air Force United States NAE Orbital Visions LLC Lockheed Martin Space Systems Company Noblis NAE Sikorsky A Lockheed Martin Company NAE GTL Associates NAE Airbus NAE NAS Stanford University United States NAE University of Maryland United States Electra.aero NAE Orbital ATK Inc. University of Michigan United States NAE Sarasota Space Associates Aerospace Corporation Information Management Associate Program Operations NAS New York University United States NAE The Boeing Company SA Technologies Fazio Group International GE Aviation Purdue University United States Avelo Airlines Committee on Transport Airplane Risk Assessment Methodology

The Transport Airplane Risk Assessment Methodology (TARAM) is a process for calculating risk associated with continued operational safety (COS) issues in the U.S. transport airplane fleet. TARAM is important because its risk-analysis calculations are used when making determinations of unsafe conditions in transport airplanes, and when selecting and implementing corrective actions. TARAM is used by the Federal Aviation Administration (FAA) for risk analysis and risk management decisions regarding COS. Aircraft certification offices use it to resolve COS issues for transport category airplanes. This methodology is also used by design approval holders, in whole or in part, by agreement with the applicable aircraft certification office. The goal of this study is to assess the TARAM process used by the FAA. Including a systematic risk assessment methodology in the continued operational safety analysis is important for a comprehensive approach to the overall safety of the transport airplane fleet. TARAM is an initial attempt by the FAA to fill such a role. A healthy safety culture requires commitment to continuous improvement. This report provides recommendations to the FAA to address the gaps and strengthen the TARAM. © 2022 Probabilistic Safety Assessment and Management, PSAM 2022. All rights reserved.

关键词： Risk analysis

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Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

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The Lancet Public Health 2025年第3期10卷 e172-e188页

作者： Steel, Nicholas Bauer-Staeb, Clarissa Maria Mercedes Ford, John A. Abbafati, Cristiana Abdalla, Mohammed Altigani Abdelkader, Atef Abdi, Parsa Zuñiga, Roberto Ariel Abeldaño Abiodun, Olugbenga Olusola Abolhassani, Hassan Abu-Gharbieh, Eman Abukhadijah, Hana J. Abu-Zaid, Ahmed Addo, Isaac Yeboah Addolorato, Giovanni Adekanmbi, Victor Adetunji, Juliana Bunmi Adeyeoluwa, Temitayo Esther Agardh, Emilie E. Agyemang-Duah, Williams Ahmad, Danish Ahmed, Ayman Ahmed, Syed Anees Akinosoglou, Karolina Akkaif, Mohammed Ahmed Al Awaidy, Salah Al Hasan, Syed Mahfuz Al Zaabi, Omar Ali Mohammed Aldridge, Robert W. Algammal, Abdelazeem M. Al-Gheethi, Adel Ali Saeed Ali, Abid Ali, Mohammed Usman Ali, Syed Shujait Ali, Waad Alicandro, Gianfranco Alif, Sheikh Mohammad Al-Jumaily, Adel Allebeck, Peter Alrawashdeh, Ahmad Al-Rifai, Rami H. Alsabri, Mohammed A. Alshahrani, Najim Z. Aluh, Deborah Oyine Al-Wardat, Mohammad Al-Zyoud, Walid A. Amiri, Sohrab Anderlini, Deanna Andrei, Catalina Liliana Anil, Abhishek Anvari, Saeid Anyasodor, Anayochukwu Edward Appiah, Seth Christopher Yaw Aquilano, Michele Arabloo, Jalal Arafat, Mosab Areda, Demelash Aremu, Abdulfatai Armani, Keivan Armocida, Benedetta Ärnlöv, Johan Asaduzzaman, Muhammad Astell-Burt, Thomas Aujayeb, Avinash Ausloos, Marcel Azadnajafabad, Sina Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Badache, Andreea Corina Badiye, Ashish D. Bahramian, Saeed Baig, Atif Amin Baker, Jennifer L. Bansal, Hansi Bärnighausen, Till Winfried Barone, Mark Thomaz Ugliara Barrow, Amadou Barteit, Sandra Bashir, Shahid Bashiru, Hameed Akande Basso, João Diogo Bastan, Mohammad-Mahdi Basu, Sanjay Batra, Kavita Bauckneht, Matteo Baune, Bernhard T. Beghi, Massimiliano Beiranvand, Maryam Béjot, Yannick Bell, Michelle L. Bello, Olorunjuwon Omolaja Belo, Luis Beloukas, Apostolos Beneke, Alice A. Bettencourt, Paulo J.G. Bhagavathula, Akshaya Srikanth Bhala, Neeraj Bhaskar, Sonu Bisulli, Francesca Bjørge, Tone Bodunrin, Aadam Olalekan Carvajal, Alejandro Botero Bouaoud, Souad Brayne, Carol Brenner, H Department of Primary Care and Public Health University of East Anglia Norwich United Kingdom Office for Health Improvement and Disparities Department of Health and Social Care London United Kingdom Department of Legal and Economic Studies La Sapienza University Rome Italy Rome Italy Hull York Medical School University of Hull Hull United Kingdom Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Department of Medicine Memorial University St. John's NL Canada Postgraduate Department University of Sierra Sur Miahuatlan de Porfirio Diaz Mexico Yhteiskuntadatatieteen keskus (Centre for Social Data Science) Helsinki Finland Department of Internal Medicine Federal Medical Centre Abuja Nigeria Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Medical Biochemistry and Biophysics Karolinska Institutet (Karolinska Institute) Stockholm Sweden Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center Hamad Medical Corporation Doha Qatar Department of Biochemistry and Molecular Medicine Alfaisal University Riyadh Saudi Arabia College of Graduate Health Sciences University of Tennessee Memphis TN United States School of Medicine Sydney NSW Australia Centre for Social Research in Health University of New South Wales Sydney NSW Australia Internal Medicine and Alcohol Related Disease Unit Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy Department of Medical and Surgical Sciences Università Cattolica di Roma (Catholic University of Rome) Rome Italy Department of Obstetrics and Gynecology University of Texas Medical Branch Galveston TX United States Department of Biochemistry Osun State University Osogbo Nigeria Department of Pharmacology and Therapeutics University of Medical Sciences Ondo Ondo Nigeria Department of Veteri

Background: Decades of steady improvements in life expectancy in Europe slowed down from around 2011, well before the COVID-19 pandemic, for reasons which remain disputed. We aimed to assess how changes in risk factors and cause-specific death rates in different European countries related to changes in life expectancy in those countries before and during the COVID-19 pandemic. Methods: We used data and methods from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to compare changes in life expectancy at birth, causes of death, and population exposure to risk factors in 16 European Economic Area countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, and Sweden) and the four UK nations (England, Northern Ireland, Scotland, and Wales) for three time periods: 1990–2011, 2011–19, and 2019–21. Changes in life expectancy and causes of death were estimated with an established life expectancy cause-specific decomposition method, and compared with summary exposure values of risk factors for the major causes of death influencing life expectancy. Findings: All countries showed mean annual improvements in life expectancy in both 1990–2011 (overall mean 0·23 years [95% uncertainty interval [UI] 0·23 to 0·24]) and 2011–19 (overall mean 0·15 years [0·13 to 0·16]). The rate of improvement was lower in 2011–19 than in 1990–2011 in all countries except for Norway, where the mean annual increase in life expectancy rose from 0·21 years (95% UI 0·20 to 0·22) in 1990–2011 to 0·23 years (0·21 to 0·26) in 2011–19 (difference of 0·03 years). In other countries, the difference in mean annual improvement between these periods ranged from –0·01 years in Iceland (0·19 years [95% UI 0·16 to 0·21] vs 0·18 years [0·09 to 0·26]), to –0·18 years in England (0·25 years [0·24 to 0·25] vs 0·07 years [0·06 to 0·08]). In 2019–21, there was an overall decrease in mean annual life expectancy a

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Acquisition of the enhanced Maritime Prepositioning Force, MPF(E), Ship

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NAVAL ENGINEERS JOURNAL 1999年第1期111卷 15-26页

作者： Mazumdar, T Sandison, J DuFlocq, R Thpan Mazurndar:is a Deputy Ship Design Manager from Naval Surface Warfare Center Carderock Division. He was the Design Manager for the Engineering and Design Phase ofthe Enhanced Maritime Prepositioning Fme Ship (MPF(E)). Cuwently Mt: M2.zumdar is Deputy Ship Design Manager in NAVSEA 030 for the LHD and LSD classes of ships. Mr. Mazumdar was awarded a BSE in Naval Architecture and Marine Engineering from the University of Michigan in 1981 and an MS in Computer Science fiom Virginia Tech in 1988. He also possesses an International ChiejEngineer License (Motot unlimited). Mr. Mancmdar has been an Associate Member of WAME since 1981. James C. Sandison:is a Senior Ship Design Manager (SDM) for surface ships in the Nawl Sea Systems Command (NAVSEA03D3C). He has a long tem practical background in design construction and testing of surface ships. Starting in NAVSEC as a diving and salvage systems engineer for the Bathyscaph TRIESTE he has been involved with most ofthe Nays Mine Warfare and Auxiliary ships from naval architect to the present Senior Ship Design Manager for the Strategic Sealift Program. Mr: Sandison entered the U.S. Navy in 1956 in the (diesel) Submarine Service. Afterward he “went to sea in sailing ships and completed an apprenticeship as a wooden shipbuildex. In 1971 he graduated from the University of Michigan with a BSE in Naval Architecture and Marine Engineering and was employed by NAVSEC. His latest additional duties have been as engineering coordinator on board the USS CONSTITUTION for her 200th anniversary sail. Mr. Sandison is a member of SNAME ASNE and the U.S. Naval Institute. Rick DuFlocq has over 24 years of combined project management mechanical system and general awangmmt design and design documentation experience the last 14 years urith Advance Marine Enterprises (AME). He has fmjmned this wurk on a wide variety of ships and auxiliary crafl including submarines primarily for the U.S. Navy and the Military Sealift Command (MSC). He has worked for both shiprards and marine eng

The paper will describe the streamlined acquisition process involved in the procurement, and conversion, of the first two of three Enhanced Maritime Prepositioning Force (MPF(E)) ships. This program was one of the first programs undertaken within the Government's new policy of Acquisition Reform, which resulted in the development of "performance based" requirements for these ships. This program is notable in that one prime contractor is responsible for the accomplishment of all phases, and that the contractors participating were not shipyards as is usually the fashion for Government ship acquisition programs. Also of note, was that after the conversion contracts were awarded, responsibility for the conduct of detail design, conversion, and operation and maintenance of the ship was transferred from the NAVSEA Sealift program Office (PMS 385) to the Military Sealift Command (MSC). The first part of the paper will describe the basic mission of the MPF(E) ships, and a description of the origin of the program requirements. The second part of the paper will chronicle in detail the portions of the engineering design and specification development process, which will include descriptions of the unique digital data recording and tracking systems developed by the Government MPF(E) Design Support Team to support the acquisition phases of the procurement. The third and final part of the paper will elaborate on the conversion contract awards and the transition of the program from PMS 385 to MSC.

关键词： Naval vessels

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Landscapes Vulnerability on Climate Change in Yogyakarta Province, Indonesia

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IOP Conference Series: Earth and Environmental Science 2021年第1期933卷

作者： D Wacano N D Latifah H Bishop H Gutama N A I Hasanah A Yulianto S Rahmawati A Nurmiyanto H P Putra F B Maziya L I Ardhayanti A N Lathifah A A Asmara Center for Climate Change and Disaster Studies (PuSPIK) Universitas Islam Indonesia Kaliurang Street Km 14 55584 Yogyakarta Indonesia Department of Environmental Engineering Faculty of Civil Engineering and Planning Universitas Islam Indonesia Kaliurang Street Km 14 55584 Yogyakarta Indonesia Bachelor of International Studies Program International Inequality and Development Faculty of Humanities and Social Sciences The University of Queensland Brisbane St. Lucia QLD 4072 Australia Directorate General of Water Resources Ministry of Public Works and Housing Pattimura Street No. 20 Kebayoran Baru South Jakarta 12110 Indonesia

Whether climate change is real or not, the daily basis phenomena and its evidences should be our concern nowadays. Yogyakarta is one of the provinces that are vulnerable to the impact of climate change in Indonesia. The specific responses to climate change phenomena in Yogyakarta province are indirectly correlated to landscape characteristics. These characteristics are important aspects for the assessment and development of new approaches to address the impacts of climate change. Therefore, this paper presents the status of landscape vulnerability to climate change in Yogyakarta province to consider the issues of mitigation and adaptation to climate change. Analytical hierarchy process (AHP) was applied to determine the objective of the research. The results of previous studies were reviewed in depth and combined with field observations to build a strong argument before evaluating the matrices and weights in the AHP steps. The result analysis showed that the most vulnerable landscape in Yogyakarta province is the anthropogenic landscape, which is located in Yogyakarta city. Furthermore, the combination of population density and poor sanitation management should be considered as a factor in mitigating and adapting to climate change in Yogyakarta city.

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Machine Learning-Based Prediction Model of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features

SSRN

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SSRN 2021年

作者： Luong, Huu Dang Nguyen, Tan Dung Le, Quang Hung Le, Ngoc Hoang Nguyen, Thi Diem Truong, Nguyen Khanh Hung Luu, Ho Thanh Lam Nguyen, Thi Thuy Nga Le, Van Tuan Hung, Shih-Han Khanh, Nguyen Quoc Department of Otolaryngology Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh city Viet Nam Department of Rehabilitation Hospital of C Da Nang Da Nang city Viet Nam Department of Rehabilitation Da Nang University of Medical Technology and Pharmacy Da Nang city Viet Nam Department of Otolaryngology University Medical Center Ho Chi Minh city Viet Nam Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei City Taiwan Department of Otolaryngology Cai Lay Regional General Hospital Tien Giang province Viet Nam International Master/Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei City Taiwan Department of Orthopedic and Trauma Cho Ray Hospital Ho Chi Minh city Viet Nam Faculty of Nursing and Midwifery Hanoi Medical University Ha Noi Viet Nam Department of Otolaryngology School of Medicine College of Medicine Taipei Medical University Taipei City Taiwan Department of Otolaryngology Wan-Fang Hospital Taipei Medical University Taipei city Taiwan Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei Taiwan

To shorten the clinical development process of a new drug or a combination of drugs in daily prescriptions, especially blockbuster drugs, predicting the effect of drug-drug interactions (DDIs) precisely is important for preventing adverse drug reactions and for more effective drug administration. Many computational algorithms have been developed to predict the effects of DDIs with the purpose of reducing hazards that can affect the health of patients in merging-medication therapies. In this research, we propose a comprehensive machine learning model to assist with the prediction of drug interactions in the histamine antagonist interaction-network. The data used in our research consisted of approved drugs of histamine antagonists that are connected to 67,317 DDI pairs in the DrugBank database. The drug-drug interaction features were extracted using the SMILE structure combined with the PyBioMed module. We then applied five algorithms in the histamine antagonist interaction-network inference (HAINI) framework: Naive Bayes (NB), Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), and Multilayer Perceptron (MP) with fivefold cross-validation to approach a large-scale DDI prediction. The predictive performance shows that our model outperformed previously published works on DDI prediction with the best precision of 0.898, a recall of 0.792, and an F1-score of 0.836 among 51 well-known DDIs. An important finding of the study is that our prediction is based solely on the SMILE and thus can be applied at early stage of drug development. © 2021, The Authors. All rights reserved.

关键词： Drug interactions

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Self-Awareness for Autonomous Systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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Risk factors for the development of knee osteoarthritis across the lifespan: A systematic review and meta-analysis

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Osteoarthritis and Cartilage 2025年

作者： Duong, Vicky Abdel Shaheed, Christina Ferreira, Manuela L. Narayan, Sujita W. Venkatesha, Venkatesha Hunter, David J. Zhu, Jimmy Atukorala, Inoshi Kobayashi, Sarah Goh, Siew Li Briggs, Andrew M. Cross, Marita Espinosa-Morales, Rolando Fu, Kai Guillemin, Francis Keefe, Francis Stefan Lohmander, L. March, Lyn Milne, George J. Mei, Yifang Mobasheri, Ali Namane, Mosedi Peat, George Risberg, May Arna Sharma, Saurab Sit, Regina Telles, Rosa Weiss Zhang, Yuqing Cooper, Cyrus Sydney Musculoskeletal Health Kolling Institute Faculty of Medicine and Health University of Sydney Level 10 St Leonards Sydney 2065 NSW Australia Faculty of Medicine and Health School of Public Health University of Sydney Level 10N King George V Building Royal Prince Alfred Hospital Sydney 2050 NSW Australia The George Institute for Global Health Faculty of Medicine and Health The University of New South Wales Level 18 International Towers 3 300 Barangaroo Ave Barangaroo Sydney 2000 NSW Australia Northern Sydney Local Health District Executive Royal North Shore Hospital The Kolling Institute Level 10 St Leonards Sydney 2065 NSW Australia Department of Rheumatology Royal North Shore Hospital Clinical Administration 7C St Leonards Sydney 2065 NSW Australia Liverpool Hospital Sydney NSW Australia Department of Clinical Medicine University of Colombo Colombo Sri Lanka Centre for Epidemiology and Evidence-Based Practice Universiti Malaya Kuala Lumpur Malaysia Sports and Exercise Medicine Research and Education Group Faculty of Medicine Universiti Malaya Kuala Lumpur Malaysia Curtin School of Allied Health Curtin University Perth 6845 WA Australia National Institute of Rehabilitation National University Autonomous of Mexico Mexico City Mexico Department of Orthopedic Surgery Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine No. 600 Yishan Road Xuhui District Shanghai 200233 China Université de Lorraine Inserm INSPIIRE Nancy 54500 France Duke Pain Prevention and Treatment Research Program Department of Psychiatry and Behavioral Sciences Duke University School of Medicine Durham NC United States Department of Clinical Sciences Lund Orthopedics Lund University PO Box 117 Lund 22100 Sweden Marshall Centre for Infectious Disease Research and Department of Computer Science and Software Engineering University of Western Australia 35 Stirling Highway Crawley 6009 WA Australia Department of

Objective: To identify and quantify risk factors for incident knee osteoarthritis (KOA) across the lifespan. Methods: This systematic review and meta-analysis identified eligible studies from seven electronic databases and three registries. Longitudinal cohort studies or randomised controlled trials evaluating participants who developed incident symptomatic and/or radiographic KOA were included. Two independent reviewers completed data screening and extraction. Estimates were pooled using a random effects model and reported as odds ratio (OR), hazard ratio, or risk ratio and corresponding 95% confidence intervals (95% CI). Grading of Recommendations, Assessment, Development and Evaluation was used to determine the certainty of evidence. Population attributable fractions were calculated, including risk factors significantly associated with radiographic KOA based on the pooled meta-analysis and where we could determine communality scores using existing clinical datasets. Results: We identified 131 studies evaluating > 150 risk factors. Previous knee injury, older age and high bone mineral density were associated with an increased risk of incident radiographic KOA based on the pooled analysis [OR (95% CI): 2.67 (1.41, 5.05), 1.15 (1.00, 1.33) and 1.82 (1.12, 2.94), respectively], with moderate-to-high certainty. Two risk factors (overweight/obesity and previous knee injury) accounted for 14% of incident radiographic KOA. Other modifiable risk factors, including occupational physical activity, also contribute to radiographic or symptomatic KOA. Conclusion: Novel strategies addressing known modifiable risk factors including overweight/obesity, knee injuries and occupational physical activity are needed to reduce overall burden of KOA. Systematic review registration: PROSPERO ID: CRD42023391187 © 2025 The Authors

关键词： Cohort studies Knee osteoarthritis Risk factors

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SHIP DESIGN AND THE NAVY LABORATORY

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NAVAL ENGINEERS JOURNAL 1981年第2期93卷 33-46页

作者： ELLSWORTH, WM CLARK, DJ Mr. William M. Ellsworth:is graduate of the State University of Iowa from which he received B.S. and M.S. degrees in Engineering majoring in Fluid Mechanics. Upon graduation in 1948 he joined the Staff of the David Taylor Model Basin (DTMB) and during the following ten years held various positions in the Hydromechanics Laboratory. In 1958 he left his position as Head of the Towing Problems Branch and joined Cleveland Pneumatic Industries which later became Pneumo Dynamics Corporation (PDC). He was General Manager of PDC's Systems Engineering Division and in 1961 became a corporate Vice President. In 1964 he returned to DTMB where he became the Technical Manager of the Hydrofoil Development Program Office. In October 1969 he was appointed to his present position of Associate Technical Director for Systems Development and Head Systems Development Department David W. Taylor Naval Ship Research and Development Center. He is a licensed Professional Engineer in the state of Maryland an Honorary Life Member of ASNE and a Fellow of ASME. He also has been the author of a number of papers and reports in the field of Naval Engineering and has served as a member of the ASNE Council from 1972 to 1974 was a member of the ASNE Flagship Section Council (1977-80) and is currently a member of the ASNE Honors and Awards Committee. He became a member of ASNE in 1960 and received his Honorary Life Membership when he was awarded the ASNE Gold Medal for 1973 at ASNE Day 1974. Dennis J. Clark:received his Bachelor's degree in Civil Engineering from City College of New York in 1963. Upon graduating he joined DTMB's Structural Mechanics Laboratory where he worked on a number of full-scale trials of surface ships evaluating the structural integrity of icebreakers sonar domes and Hydrofoils. He eventually was responsible for the entire structural research program in support of the Hydrofoil Advanced Development Office and in 1971 joined the Hydrofoil Program Office as the Manager of Systems Integration. In that capacity he

In today's environment of rapidly escalating costs, increasing technological complexity, and growing threat, we must actively seek ways to improve our effectiveness in applying limited resources to the design of Navy ships. One important aspect of this process involves the development and application of new technology to ship design. An exhaustive treatment of this subject is clearly beyond the scope of a single technical paper. It is the Authors' objective, however, to acquaint the reader with the nature and role of the Navy's Laboratory Community in general and DTNSRDC in particular; to examine some recent initiatives taken at DTNSRDC and some key issues; and, hopefully, to contribute in some small way to the building of a stronger constructive partnership between ship development and design activities. The view is that from the perspective of a Navy Laboratory and pertains to the design of the ship itself as opposed to the weapons system.

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Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis

arXiv

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arXiv 2017年

作者： Sung, Jaeyun Kim, Seunghyeon Cabatbat, Josephine Jill T. Jang, Sungho Jin, Yong-Su Jung, Gyoo Yeol Chia, Nicholas Kim, Pan-Jun Asia Pacific Center for Theoretical Physics Pohang Gyeongbuk37673 Korea Republic of Center for Computational and Integrative Biology Massachusetts General Hospital Harvard Medical School BostonMA02114 United States Broad Institute of MIT and Harvard CambridgeMA02142 United States Department of Physics Pohang University of Science and Technology Pohang Gyeongbuk37673 Korea Republic of Abdus Salam International Centre for Theoretical Physics Trieste34151 Italy Department of Chemical Engineering Pohang University of Science and Technology Pohang Gyeongbuk37673 Korea Republic of Department of Food Science and Human Nutrition University of Illinois at Urbana-Champaign UrbanaIL61801 United States Carl R. Woese Institute for Genomic Biology University of Illinois at Urbana-Champaign UrbanaIL61801 United States School of Interdisciplinary Bioscience and Bioengineering Pohang University of Science and Technology Pohang Gyeongbuk37673 Korea Republic of Microbiome Program Center for Individualized Medicine Mayo Clinic RochesterMN55905 United States Department of Surgery Mayo Clinic RochesterMN55905 United States Department of Biomedical Engineering Mayo College RochesterMN55905 United States Department of Physics Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of

A system-level framework of complex microbe-microbe and host-microbe chemical cross-talk would help elucidate the role of our gut microbiota in health and disease. Here we report a literature-curated interspecies network of the human gut microbiota, called NJS16. This is an extensive data resource composed of ~570 microbial species and 3 human cell types metabolically interacting through >4,400 small-molecule transport and macromolecule degradation events. Based on the contents of our network, we develop a mathematical approach to elucidate representative microbial and metabolic features of the gut microbial community in a given population, such as a disease cohort. Applying this strategy to microbiome data from type 2 diabetes patients reveals a context-specific infrastructure of the gut microbial ecosystem, core microbial entities with large metabolic influence, and frequently-produced metabolic compounds that might indicate relevant community metabolic processes. Our network presents a foundation towards integrative investigations of community-scale microbial activities within the human gut. Copyright © 2017, The Authors. All rights reserved.

关键词： Bacteria

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