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TECHNOLOGICAL ADVANCES IN AIRCRAFT CARRIER DESIGN

NAVAL ENGINEERS JOURNAL 1980年第5期92卷 71-85页

作者： REIN, RJ RYAN, JC USN (RET.) Cdr. Robert J. Rein USN (Ret.)currently is the Director of Naval Support Systems for the Columbia Research Corporation Washington D. C. At the time this paper was presented he was on active duty in the U.S. Navy serving as the Ship Design Manager for the CVV Naval Sea Systems Command. Prior to that his duty assignments included Deputy Program Manager for the Sea Control Ship Assistant Ship Material Officer. Staff of Commander Naval Air Force U.S. Pacific Fleet and Type Desk Officer for Cruisers/Destroyers and New Construction (CG 30) at the former Hunter's Point Naval Shipyard. He is a graduate of General Motors Institute an accredited private college sponsored by the General Motors Corporation: the U.S. Naval Postgraduate School Monterey. Calif.: and the Defense Systems Management College. Fort Belvoir. Va. Additionally. he has had extensive postgraduate study in Systems Management at The George Washington University. Cdr. Rein is extremely active in his support of professional engineering societies and as a member of ASNE since 1964 has been responsible for the founding of ASNE Local Sections on the west coast and presently is serving as the Society's National Assistant Secretary-Treasurer. In addition he also was the creator and coordinator for the highly successful. Society sponsored Symposium “Aircraft Carriers — Present and Future.”which was held in October 1976 at the U.S. Grant Hotel. San Diego. Calif. and was the first such Symposium jointly sponsored by an Operating Fleet command and a professional society. Mr. J. Christopher Ryanreceived his B.S. degree in Naval Architecture and Marine Engineering from Webb Institute of Naval Architecture in 1967 and his M.S. degree in Naval Architecture from Massachusetts Institute of Technology in 1969. His initial work experience was at Litton Ship Systems where he was associated primarily with the general arrangements development of the DD 963 Class design. Subsequently. he was employed at the former Naval Ship Engineering Center with work as

Since the signing of the Contract Design Plane for the CVN 68 (the U.S. Navy's latest Class of Aircraft Carriers) In 1963, considerable technological advances have been made in Naval Ship Design. This paper provides specific examples of how new technology has affected traditional Carrier design practices and techniques, and also indicates areas where future advanced technology will be needed. It is divided into four sections: 1) computer Design Application; 2) Total Ship Energy Conservation Analysis; 3) Advances in Structural Design; and 4) Impact of V/STOL Aircraft. The increased use of the computer to define ship characteristics in the initial stage of ship design is discussed, followed by a report on efforts to include energy conservation as an integral part of the design process. The energy conservation approach uses traditional analytical techniques to develop innovative design configurations that will achieve energy savings. Of the many advances in Carrier structural design, two specific examples are given: 1) Elimination of the infamous “knee-knockers” (high sills in passageway openings) common to Gallery Deck structure, and 2) Successful attempts at reducing the thickness of aircraft elevator platforms. The paper concludes by pointing out some possible challenges facing the ship designer and some of the technology already created by the expected introduction of advanced design Vertical/Short Takeoff and Landing (V/STOL) aircraft.

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Abstracts from the 6th International Conference on the engineering of Sport, 10-14 July 2006, Olympic Hall, Munich, Germany Abstracts

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SPORTS engineering 2006年第2期9卷 107-127页

作者： [Anonymous] University of Massachusetts Lowell USA Science & Mathematics Department Kettering University Flint USA University of Illinois USA Western Michigan University USA Washington State University USA Casecade Engine USA Kanazawa University Japan Sumitomo Light Metal Japan Massachusetts Institute of Technology USA Nanyang Technological University Bioengineering Singapore University of Vienna Anthropology Austria Department of Mechanical Engineering University of Bath UK INSA Lyon France PETZL France Sports Materials Research Group University of Birmingham UK Laboratoire de Modélisation des Activités Sportives Bourget du Lac France Technical University Kaiserslautern Germany Department of Engineering Mechanics United States Air Force Academy Colorado Springs USA SRAM Corporation Colorado Springs USA Sports Engineering Research Group University of Sheffield UK Sports Engineering CSES Sheffield Hallam University USA Sports Engineering CSES Sheffield Hallam University UK Technische Universität München Germany Rush University Medical Center Chicago USA Faculty of Sports Science Department of Sport Equipment & Materials TU München Germany RMIT University Australia Institute of Health and Sports Sciences University of Tsukuba Ibaraki Japan Machine and Control Department Polytechnic University Kanagawa Japan SRI Sports Ltd. Hyogo Japan SRI Research and Development Ltd. Hyogo Japan Mizuno Corporation Osaka Japan Fukuoka Institute of Technology Fukuoka Japan University of Limerick Éire Graduate School of Engineering Hokkaido University Japan Faculty of Engineering Kitami Institute of Technology Japan University of Calgary Canada TaylorMade-adidas Golf Company USA Davis Mechanical Engineering University of California USA Davis Mechanical & Aeronautical Engineering University of California USA University of Wales Institute Cardiff Cardiff School of Sport UWIC Cardiff Cardiff School of Sport UWIC Wales Loughborough University UK Cranfield University UK Cr

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Publisher Correction: Early-onset colorectal cancer: initial clues and current views

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Nature reviews. Gastroenterology & hepatology 2020年第8期17卷 517页

作者： Lorne J Hofseth James R Hebert Anindya Chanda Hexin Chen Bryan L Love Maria M Pena E Angela Murphy Mathew Sajish Amit Sheth Phillip J Buckhaults Franklin G Berger Center for Colon Cancer Research University of South Carolina Columbia SC USA. hofseth@cop.sc.edu. Cancer Prevention and Control Program University of South Carolina Columbia SC USA. hofseth@cop.sc.edu. Department of Drug Discovery and Biomedical Sciences College of Pharmacy University of South Carolina Columbia SC USA. hofseth@cop.sc.edu. Center for Colon Cancer Research University of South Carolina Columbia SC USA. Cancer Prevention and Control Program University of South Carolina Columbia SC USA. Department of Epidemiology & Biostatistics University of South Carolina Columbia SC USA. Department of Environmental Health Sciences Arnold School of Public Health University of South Carolina Columbia SC USA. Department of Biology College of Arts and Sciences University of South Carolina Columbia SC USA. Department of Clinical Pharmacy and Outcomes Sciences College of Pharmacy University of South Carolina Columbia SC USA. Department of Pathology Microbiology & Immunology School of Medicine University of South Carolina Columbia SC USA. Department of Drug Discovery and Biomedical Sciences College of Pharmacy University of South Carolina Columbia SC USA. Department of Computer Science and Engineering College of Engineering University of South Carolina Columbia SC USA.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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THE NAVAL SHIP RESEARCH AND DEVELOPMENT CENTER ADVANCED STRUCTURE FACILITYxs

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Naval Engineers Journal 1973年第1期85卷 43-49页

作者： BECKER, LOUIS A. SIEGRIST, FRANKLIN I. Louis A. Becker was born in New Rochelle N.Y. in 1930 receiving his earlier education in the New Rochelle Public Schools. He completed his undergraduate studies at Manhattan College in 1952 receiving his BCE degree during which time he was also engaged in land surveying. Following this he did postgraduate study at Virginia Polytechnic Institute obtaining his MS in 1954. He joined Naval Ship Research and Development Center in 1953 as a Junior Engineer and is currently the Head of the Engineering & Facilities Division Structures Department. His field of specialization is Structural Research and Development. Franklin I. Siegrist was born in Knoxville Tenn. in 1937 receiving his earlier education in the Public Schools of Erie Pa. He attended Pennsylvania State University graduating in 1962 with a Bachelor of Science degree in Electrical Engineering having prior to that time served four years in the U. S. Navy. He was a Junior Engineer in the AC Spark Plug Division of General Motors from 1962 until 1964 at which time he came to the David Taylor Model Basin as an Electrical Engineer in the Industrial Department. He is currently Supervisory Engineer for Electrical and Electronics Engineering Structures Department Naval Ship Research and Development Center. His field of specialization is Electrical Engineering Control Systems Data Collection Systems Computer Applications to Structural Research and Hydraulic System Design. In the last of these he holds Patent Rights on a “Hydraulic Supercharge and Cooling Circuit” granted in 1970.

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Workshop on imaging science development for cancer prevention and preemption

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Cancer Biomarkers 2007年第1期3卷 1-33页

作者： Kelloff, Gary J. Sullivan, Daniel C. Baker, Houston Clarke, Lawrence P. Nordstrom, Robert Tatum, James L. Dorfman, Gary S. Jacobs, Paula Berg, Christine D. Pomper, Martin G. Birrer, Michael J. Tempero, Margaret Higley, Howard R. Petty, Brenda Gumbs Sigman, Caroline C. Maley, Carlo Sharma, Prateek Wax, Adam Ginsberg, Gregory G. Dannenberg, Andrew J. Hawk, Ernest T. Messing, Edward M. Grossman, H. Barton Harisinghani, Mukesh Bigio, Irving J. Griebel, Donna Henson, Donald E. Fabian, Carol J. Ferrara, Katherine Fantini, Sergio Schnall, Mitchell D. Zujewski, Jo Anne Hayes, Wendy Klein, Eric A. DeMarzo, Angelo Ocak, Iclal Ketterling, Jeffrey A. Tempany, Clare Shtern, Faina Parnes, Howard L. Gomez, Jorge Srivastava, Sudhir Szabo, Eva Lam, Stephen Seibel, Eric J. Massion, Pierre McLennan, Geoffrey Cleary, Kevin Suh, Robert Burt, Randall W. Pfeiffer, Ruth M. Hoffman, John M. Roy, Hemant K. Wang, Thomas Limburg, Paul J. El-Deiry, Wafik S. Papadimitrakopoulou, Vali Hittelman, Walter N. MacAulay, Calum Veltri, Robert W. Solomonzz, Diane Jeronimo, Jose Richards-Kortum, Rebecca Johnson, Karen A. Viner, Jaye L. Stratton, Steven P. Rajadhyaksha, Milind Dhawan, Atam NIH/NCI/DCTD Cancer Imaging Program Bethesda MD United States NIH/NCI/DCTD Cancer Imaging Program NCI-Frederick Frederick MD United States NIH/NCI/DCP Early Detection Research Group Bethesda MD United States The Johns Hopkins University School of Medicine Departments of Radiology Pharmacology and Oncology Division of Neuroradiology Baltimore MD United States NIH/NCI/CCR Cell and Cancer Biology Branch Bethesda MD United States University of California San Francisco Department of Medicine Division of Medical Oncology San Francisco CA United States CCS Associates Inc. Mountain View CA United States Wistar Institute Molecular and Cellular Oncogenesis Program Philadelphia PA United States University of Kansas School of Medicine VA Hospital Kansas City MO United States Duke University Department of Biomedical Engineering Medical Physics Program Durham NC United States University of Pennsylvania School of Medicine Department of Gastroenterology Philadelphia PA United States New York Presbyterian Hospital Weill Medical College of Cornell University New York NY United States NIH/NCI/OD Office of Centers for Training and Resources Bethesda MD United States University of Rochester Medical Center Department of Urology Rochester NY United States University of Texas MD Anderson Cancer Center Department of Urology Houston TX United States Massachusetts General Hospital Abdominal Imaging/Interventional Radiology Boston MA United States Boston University Biomedical Engineering Electrical and Computer Engineering and Physics Boston MA United States NIH/NCI/DCP Gastrointestinal and Other Cancers Research Group Bethesda MD United States The George Washington University Cancer Institute Office of Cancer Prevention and Control Washington DC United States University of Kansas Cancer Center Clinical Oncology Kansas City KS United States University of California Davis Department of Biomedical Engineering Davis CA United States Tufts University De

The concept of intraepithelial neoplasm (IEN) as a near-obligate precursor of cancers has generated opportunities to examine drug or device intervention strategies that may reverse or retard the sometimes lengthy process of carcinogenesis. Chemopreventive agents with high therapeutic indices, well-monitored for efficacy and safety, are greatly needed, as is development of less invasive or minimally disruptive visualization and assessment methods to safely screen nominally healthy but at-risk patients, often for extended periods of time and at repeated intervals. Imaging devices, alone or in combination with anticancer drugs, may also provide novel interventions to treat or prevent precancer.

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TRACKING control IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

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Asian Journal of control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

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Author Correction: Frontotemporal coordination predicts working memory performance and its local neural signatures

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Nature communications 2021年第1期12卷 3811页

作者： Ehsan Rezayat Mohammad-Reza A Dehaqani Kelsey Clark Zahra Bahmani Tirin Moore Behrad Noudoost School of Cognitive Sciences Institute for Research in Fundamental Sciences (IPM) Tehran Iran. School of Cognitive Sciences Institute for Research in Fundamental Sciences (IPM) Tehran Iran. dehaqani@ut.ac.ir. Cognitive Systems Laboratory Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran. dehaqani@ut.ac.ir. Department of Ophthalmology and Visual Sciences University of Utah Salt Lake City UT USA. Department of Biomedical Engineering Tarbiat Modares University Tehran Iran. Department of Neurobiology Stanford University Stanford CA USA. Howard Hughes Medical Institute Stanford University Stanford CA USA. Department of Ophthalmology and Visual Sciences University of Utah Salt Lake City UT USA. behrad.noudoost@utah.edu.

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The impact of generative artificial intelligence on socioeconomic inequalities and policy making

arXiv

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arXiv 2023年

作者： Capraro, Valerio Lentsch, Austin Acemoglu, Daron Akgun, Selin Akhmedova, Aisel Bilancini, Ennio Bonnefon, Jean-François Brañas-Garza, Pablo Butera, Luigi Douglas, Karen M. Everett, Jim A.C. Gigerenzer, Gerd Greenhow, Christine Hashimoto, Daniel A. Holt-Lunstad, Julianne Jetten, Jolanda Johnson, Simon Kunz, Werner H. Longoni, Chiara Lunn, Pete Natale, Simone Paluch, Stefanie Rahwan, Iyad Selwyn, Neil Singh, Vivek Suri, Siddharth Sutcliffe, Jennifer Tomlinson, Joe van der Linden, Sander Van Lange, Paul A.M. Wall, Friederike Van Bavel, Jay J. Viale, Riccardo Department of Psychology University of Milan-Bicocca Italy Department of Economics MIT United States Institute Professor and Department of Economics MIT United States College of Education Michigan State University United States IMT School of Advanced Studies Lucca Italy Toulouse School of Economics France Department of Economics Loyola Andalucia University Spain Department of Economics Copenhagen Business School Denmark School of Psychology University of Kent United Kingdom Max Planck Institute for Human Development Berlin Germany Penn Computer Assisted Surgery and Outcomes Laboratory Department of Surgery Perelman School of Medicine University of Pennsylvania United States Department of Computer and Information Science School of Engineering and Applied Science University of Pennsylvania United States Department of Psychology and Neuroscience Brigham Young University United States School of Psychology University of Queensland Australia MIT Sloan School of Management United States Department of Marketing University of Massachusetts Boston United States Department of Marketing Bocconi University Italy Economic & Social Research Institute Dublin Ireland Department of Humanities University of Turin Italy Department of Service and Technology Marketing Aarhus University Denmark Center for Humans and Machines Max Planck Institute for Human Development Berlin Germany Faculty of Education Monash University Australia Microsoft Research United States York Law School United Kingdom Department of Psychology University of Cambridge United Kingdom Department of Experimental and Applied Psychology Vrije Universiteit Amsterdam Netherlands Department of Management Control and Strategic Management University of Klagenfurt Austria Department of Psychology Center for Neural Science New York University United States Norwegian School of Economics Bergen Norway Department of Economics University of Milan-Bicocca Italy

Generative artificial intelligence has the potential to both exacerbate and ameliorate existing socioeconomic inequalities. In this article, we provide a state-of-the-art interdisciplinary overview of the potential impacts of generative AI on (mis)information and three information-intensive domains: work, education, and healthcare. Our goal is to highlight how generative AI could worsen existing inequalities while illuminating how AI may help mitigate pervasive social problems. In the information domain, generative AI can democratize content creation and access, but may dramatically expand the production and proliferation of misinformation. In the workplace, it can boost productivity and create new jobs, but the benefits will likely be distributed unevenly. In education, it offers personalized learning, but may widen the digital divide. In healthcare, it might improve diagnostics and accessibility, but could deepen pre-existing inequalities. In each section we cover a specific topic, evaluate existing research, identify critical gaps, and recommend research directions, including explicit trade-offs that complicate the derivation of a priori hypotheses. We conclude with a section highlighting the role of policymaking to maximize generative AI’s potential to reduce inequalities while mitigating its harmful effects. We discuss strengths and weaknesses of existing policy frameworks in the European Union, the United States, and the United Kingdom, observing that each fails to fully confront the socioeconomic challenges we have identified. We propose several concrete policies that could promote shared prosperity through the advancement of generative AI. This article emphasizes the need for interdisciplinary collaborations to understand and address the complex challenges of generative AI. © 2023, CC BY.

关键词： Artificial intelligence

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TRANSIM‐A GENERAL PURPOSE PROBLEM SOLVING TOOL

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Naval Engineers Journal 1973年第5期85卷 79-92页

作者： McMICHAEL, DAVID L. ORLEANS, BEATRICE S. Mr. David L. McMichael:is Senior Development Engineer on the Project TRANSIM Staff at the University of California at Los Angeles. He is widely experienced in the application of quantitative analytical methods in particular computer simulation to the solution of real-world problems. Prior to joining the UCLA Staff he was a commissioned officer in the U.S. Navy and was assigned to the Naval Ship Systems Command as a system analyst engaged in the introduction of quantitative analysis methods in the Navy management decision-making process. He has also been Senior Systems Analyst ASSET Inc. Industrial Engineer with the Surface Combustion Corp. and Speiser Engineering Inc. and a lecturer in Mathematics at North Virginia Community College. He received his MS degree in Operations Research at the U.S. Naval Postgraduate School having specialized in gaming and simulation and his BSME degree at Tri-State College Angola Indiana. Miss Beatrice S. Orleans:holds a BA degree in Mathematics and Statistics from Hunter College and a MS degree in Statistics from Columbia University-Graduate School of Business. She has also completed graduate courses at Columbia George Washington and American Universities. Prior to her present position she was employed by the International Statistical Bureau as an economic statistician the Educational Testing Service as a research assistant the Air Force Human Resources Research Laboratory as an aviation psychologist and Head of the Statistics Section and CNO Aviation Plans and Programs as a mathematical statistician. For the past 20 years she has been with the Bureau of Ships and now the Naval Ship System Command in what is known as the Statistical Engineering Branch of which she has been the Branch Head for the last 10 years. She also has worked in the areas of Statistical Quality Control and Design of Experiments and Reliability and in addition has taught a number of sessions of a course in Introduction to Statistical Inference for the Navy the Laboratories and the Army.

This paper describes TRANSIM simulation a a method for solving problems. There is a brief discussion of modeling and its importance. TRANSIM is compared with other general purpose simulators, special purpose simulation, and network analysis techniques such as PERT/CPM. Data requirements for TRANSIM applications are discussed, and a few examples of specific Navy applications are described in a general fashion. In conclusion, the paper details the latest TRANSIM development work in project analysis and output formats for project risk, resource allocation and scheduling. © 1973 American Society of Naval Engineers

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