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Proceedings from the 9th annual conference on the science of dissemination and implementation: Washington, DC, USA. 14-15 December 2016

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Implement Sci 2017年第SUPPL 1期12卷 48-48页

作者： David Chambers Lisa Simpson Gila Neta Ulrica von Thiele Schwarz Antoinette Percy-Laurry Gregory A. Aarons Ross Brownson Amanda Vogel Shannon Wiltsey Stirman Kenneth Sherr Rachel Sturke Wynne E. Norton Allyson Varley Cynthia Vinson Lisa Klesges Suzanne Heurtin-Roberts M. Rashad Massoud Leighann Kimble Arne Beck Claire Neely Jennifer Boggs Carmel Nichols Wen Wan Erin Staab Neda Laiteerapong Nathalie Moise Ravi Shah Susan Essock Margaret Handley Amy Jones Jay Carruthers Karina Davidson Lauren Peccoralo Lloyd Sederer Todd Molfenter Ashley Scudder Sarah Taber-Thomas Kristen Schaffner Amy Herschell Eva Woodward Jeffery Pitcock Mona Ritchie JoAnn Kirchner Julia E. Moore Sobia Khan Shusmita Rashid Jamie Park Melissa Courvoisier Sharon Straus Daniel Blonigen Allison Rodriguez Luisa Manfredi Andrea Nevedal Joel Rosenthal David Smelson Christine Timko Nicole Stadnick Jennifer Regan Miya Barnett Anna Lau Lauren Brookman-Frazee Erick Guerrero Karissa Fenwick Yinfei Kong Gregory Aarons Rebecca Lengnick-Hall Benjamin Henwood Nina Sayer Craig Rosen Robert Orazem Brandy Smith Lindsey Zimmerman David Lounsbury Rachel Kimerling Jodie A. Trafton Steven Lindley Rahul Bhargava Hal Roberts Laura Gibson Gabriel J. Escobar Vincent Liu Benjamin Turk Arona Ragins Patricia Kipnis Ashley Ketterer Gruszkowski Michael W. Kennedy Emily Rentschler Drobek Lior Turgeman Aleksandra Sasha Milicevic Terrence L. Hubert Larissa Myaskovsky Youxu C. Tjader Robert J. Monte Kathryn G. Sapnas Edmond Ramly Diane R Lauver Christie M Bartels Shereef Elnahal Andrea Ippolito Hillary Peabody Carolyn Clancy Randall Cebul Thomas Love Douglas Einstadter Shari Bolen Brook Watts Vera Yakovchenko Angela Park William Lukesh Donald R. Miller David Thornton Mari-Lynn Drainoni Allen L. Gifford Shawna Smith Julia Kyle Mark S Bauer Daniel Eisenberg Celeste Liebrecht Michelle Barbaresso Amy Kilbourne Elyse Park Giselle Perez Jamie Ostroff Sarah Greene Michael Parchman Brian Austin Eric Larson Stefanie Ferreri Chris Shea Megan Smith Kea Turner Jennifer Bacci Kyle Bigham Geoffr Division of Cancer Control and Population Sciences National Cancer Institute Rockville MD 20850 USA AcademyHealth Washington DC 20009 USA Department of Learning Informatics Management and Ethics Karolinska Institutet Stockholm 17177 Sweden Department of Psychiatry University of California San Diego San Diego CA 92093 USA George Warren Brown School of Social Work Washington University in St. Louis St. Louis MO 63130 USA Center for Global Health National Cancer Institute Rockville MD 20850 USA Dissemination and Training Division VA National Center for PTSD Palo Alto CA 94305 USA Department of Global Health University of Washington Seattle WA 98105 USA Center for Global Health Studies Fogarty International Center National Institutes of Health Bethesda MD 20912 USA School of Public Health University of Alabama at Birmingham Birmingham AL 35243 USA School of Public Health University of Memphis Memphis TN 38152 USA USAID Applying Science to Strengthen and Improve Systems (ASSIST) Project Bethesda Maryland 20814 USA Institute for Health Research Kaiser Permanente Denver CO 80231 USA ICSI Institute for Clinical Systems Improvement Bloomington MN 55425 USA Medicine University of Chicago Chicago IL 60637 USA Medicine Columbia University Medical Center New York NY 10032 USA Psychiatry Columbia University New York NY 10032 USA General Internal Medicine Epidemiology and Biostatistics University of California San Francisco San Francisco CA 94110 USA New York State Office of Mental Health New York NY 10001 USA Medicine Icahn School of Medicine at Mount Sinai New York NY 10029 USA Center for Health Enhancement System Studies University of Wisconsin Madison WI 53706 USA Department of Psychiatry University of Pittsburgh Pittsburgh PA 15213 USA Psychology University at Buffalo Buffalo NY 14260 USA Department of Psychology West Virginia University Morgantown WV 26506 USA MIRECC VA North Little Rock AR 72114 USA QUERI for Team-Based Behavioral Health Centr

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Experimental selection and verification of maximum-heart-rate formulas for use with karvonen formula

Experimental selection and verification of maximum-heart-rat...

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10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013

作者： She, Jinhua Nakamura, Hitoshi Makino, Koji Ohyama, Yasuhiro Hashimoto, Hiroshi Wu, Min Graduate School of Bionics Computer and Media Sciences Tokyo University of Technology 1404-1 Katakura Hachioji Tokyo 192-0982 Japan Interdisciplinary Graduate School of Medical and Engineering University of Yamanashi 4-3-11 Takeda Kofu 400-8511 Japan Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Shinagawa Tokyo 140-0011 Japan School of Information Science and Engineering Central South University Changsha 410083 China

ISBN: (纸本)9789898565716

Maximum heart rate (MHR) is commonly used to estimate exercise intensity with the Karvonen formula, and there are several methods of calculating it. In this study, we used pedaling experiments on a cycle ergometer to evaluate methods of determining MHR in order to select the ones most suitable for the Karvonen formula. In the experiments, 43 subjects rode an aerobike. The results show that, for people in their 20s, two methods are suitable for estimating exercise intensity with the Karvonen formula. The main physical parameters affecting exercise intensity were also extracted, based on the experimental results.

关键词： Heart

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glpK和rpoC基因突变对大肠杆菌生长的调节机制

glpK和rpoC基因突变对大肠杆菌生长的调节机制

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第十八届全国波谱学学术年会

作者： Kian-Kai Cheng Baek-Seok Lee Takeshi Masuda Takuro Ito Kazutaka Ikeda Akiyoshi Hirayama Lingli Deng Jiyang Dong Kazuyuki Shimizu Tomoyoshi Soga Masaru Tomita Bernhard O.Palsson Martin Robert Institute for Advanced Biosciences Keio UniversityTsuruokaYamagata 997-0017Japan Systems Biology Program Graduate School of Media and GovernanceKeio UniversityKanagawa 252-8520Japan Institute of Bioproduct Development & Department of Bioprocess Engineering Universiti Teknologi Malaysia81310 JohorMalaysia PRESTO Japan Science and Technology AgencyKawaguchiSaitama 332-0012Japan Department of Electronic Science Xiamen University Kyushu Institute of Technology IizukaFukuoka820-8502Japan Department of Bioengineering University of CaliforniaSan DiegoLa JollaCA 92093-0412USA

自2006年开始,基因组的重新测序有效地鉴定了细菌适于新环境时所引起的基因突变[1]。然而,相关的促生长机制还没有得到很好的诠释。本文联合利用代谢组学、蛋白质组学和脂类组学的方法对适于甘油的进化菌株中的glpK和rpoC两个基因突变[2... 详细信息

自2006年开始,基因组的重新测序有效地鉴定了细菌适于新环境时所引起的基因突变[1]。然而,相关的促生长机制还没有得到很好的诠释。本文联合利用代谢组学、蛋白质组学和脂类组学的方法对适于甘油的进化菌株中的glpK和rpoC两个基因突变[2,3]的促生长机制进行深入研究,结果表明:进化大肠杆菌细胞株是通过两种不同的代谢方式来实现在甘油培基内更快的增长。首先,rpoC基因27bp的缺失提高了

关键词：基因突变大肠杆菌细胞大肠杆菌

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Reports of the AAAI 2011 conference workshops

Reports of the AAAI 2011 conference workshops

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作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud Computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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Q&A

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Design Management Review 2014年第3期25卷

作者： John Maeda Steven Heller Tim Hoover Has been a design partner at Kleiner Perkins Caufield & Byers since January 2014 helping entrepreneurs and portfolio companies to build design into their company cultures. He served as the president of Rhode Island School of Design for six years through 2013 and also served as an associate director of research at the MIT Media Lab. Maeda has been a practicing designer since 1990 and his work is in the permanent collections of the Museum of Modern Art San Francisco Museum of Modern Art and the Cartier Foundation. He serves on the boards of several corporations including Sonos and Wieden + Kennedy and is chair of eBay's Design Advisory Board. His four published books include The Laws of Simplicity and Redesigning Leadership. Maeda is the recipient of a variety of international awards for his creative work including induction into the Art Director's Club Hall of Fame. In 2001 he received the White House National Design Award in 2002 he received the Mainichi Design Prize in Japan and in 2005 he was awarded the Raymond Loewy Foundation Prize in Germany. Maeda earned a BS and an MS from MIT in computer science and electrical engineering. He received a PhD in design science from the University of Tsukuba Institute of Art and Design in Japan as well as an MBA from Arizona State University. Co‐chair and co‐founder of the MFA Designer as Author and Entrepreneur program at the School of Visual Arts in New York. He was the art director of The New York Times Book Review and now writes the VISUALS column for the NYTBR. He also writes “The Daily Heller” at *** a weekly online design column for Atlantic magazine. He is author co‐author and editor of more than 165 books on the history and practice of graphic design illustration and satiric art. His forthcoming books include 100 Classic Graphic Design Magazines (Laurence King Publishers) and Raw Data: The Process Behind Information Graphics (Thames + Hudson). Heller was the 2011 recipient of the Smithsonian National Design Award for Design Mind. He has also writ

John Maeda is a past president of Rhode Island School of Design and an internationally known designer. He's now involved in helping entrepreneurs build design into their company cultures. Writer and educator Steven Heller pairs up with Tim Hoover, head of product and design at Canary, to talk about designer CEOs, start‐ups, and cutting out the middleman.

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Antagonistic Active Knee Prosthesis. A Metabolic Cost of Walking Comparison With a Variable-Damping Prosthetic Knee

Antagonistic Active Knee Prosthesis. A Metabolic Cost of Wal...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Ernesto C. Martinez-Villalpando Luke Mooney Grant Elliott Hugh Herr Biomechatronics Group at the Massachusetts Institute of Technology Media Laboratory MIT Media Lab Biomecharonics Group MIT Media Lab Biomecharonics Group and the MIT Department of Electrical Engineering MIT Media Lab Biomechatronics Group and the MIT-Harvard Health Science and Technology program

ISBN: (纸本)9781424441211

This paper examines the impact of a biomimetic active knee prosthesis on the metabolic costs associated with a unilateral transfemoral amputee walking at self selected speed. In this study we compare the antagonistic active knee prosthesis developed at MIT to an electronically controlled, variable-damping commercial knee prosthesis, the Otto Bock C-leg. Use of the active knee prosthesis resulted in both, a 17% increase in an amputee's average self selected walking speed from 1.12 m/s to 1.31 m/s, and a 6.8% reduction in metabolic cost. The results of this study suggest that an agonist-antagonist active knee prosthesis design with variable impedance control can offer walking energetic advantages over commercially available systems.

关键词： Knee Prosthesis Metabolic walking MASSACHUSETTS INSTITUTE OF TECHNOLOGY Walking Speed Amputees Active

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MindTactics: A brain computer interface gaming platform

MindTactics: A brain computer interface gaming platform

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2nd International IEEE Consumer Electronic Society Games Innovation Conference, ICE-GIC 2010

作者： Oum, Kenneth Ayaz, Hasan Shewokis, Patricia A. Diefenbach, Paul Digital Media Program Drexel University Philadelphia PA United States School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia PA United States

ISBN: (纸本)9781424471805

During the last couple of decades, there has been an exponential improvement in neuroimaging technologies that allowed researchers noninvasive assessment of cognitive workload, short term memory, and spatial/navigational behaviors in humans. Through the use of new experimental paradigms and brain imaging devices, researchers have gained deeper insight into the neural correlates of emotion, cognition and motor control. Brain Computer Interface (BCI) systems utilize neuroimaging tools to detect brain activation evoked by a specific thinking process and convert it to a command. We have developed a game environment called "MindTactics" as a test platform for BCI devices to conceptualize experimental cognitive paradigms in ecologically valid environments as well as test BCI gameplay paradigms. Unlike traditional video games where the challenge to the user is the designed game mechanics, BCI based gameplay also involves mastering the use of the BCI device itself. The purpose of this project is to develop compelling BCI game design methods. MindTactics is capable of integrating data from multiple devices including the optical brain imaging based BCI developed at Drexel University, and it records behavioral log files for further analysis. ©2010 IEEE.

关键词： Brain computer interface

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MindTactics: A Brain Computer Interface gaming platform

MindTactics: A Brain Computer Interface gaming platform

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International IEEE Consumer Electronics Society's Games Innovations Conference, ICE-GIC

作者： Kenneth Oum Hasan Ayaz Patricia A. Shewokis Paul Diefenbach Digital Media Program Drexel University Philadelphia PA USA School of Biomedical Engineering Science & Health Systems Drexel University Philadelphia PA USA

During the last couple of decades, there has been an exponential improvement in neuroimaging technologies that allowed researchers noninvasive assessment of cognitive workload, short term memory, and spatial/navigational behaviors in humans. Through the use of new experimental paradigms and brain imaging devices, researchers have gained deeper insight into the neural correlates of emotion, cognition and motor control. Brain Computer Interface (BCI) systems utilize neuroimaging tools to detect brain activation evoked by a specific thinking process and convert it to a command. We have developed a game environment called “MindTactics” as a test platform for BCI devices to conceptualize experimental cognitive paradigms in ecologically valid environments as well as test BCI gameplay paradigms. Unlike traditional video games where the challenge to the user is the designed game mechanics, BCI based gameplay also involves mastering the use of the BCI device itself. The purpose of this project is to develop compelling BCI game design methods. MindTactics is capable of integrating data from multiple devices including the optical brain imaging based BCI developed at Drexel University, and it records behavioral log files for further analysis.

关键词： Games Brain computer interfaces Protocols Brain Indexes Optical imaging

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View-invariant full-body gesture recognition from video

View-invariant full-body gesture recognition from video

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作者： Peng, Bo Qian, Gang Rajko, Stjephan Arts Media and Engineering Program Arizona State University Tempe AZ 85287 United States Department of Electrical Engineering Arizona State University Tempe AZ 85287 United States Department of Computer Science and Engineering Arizona State University Tempe AZ 85287 United States

ISBN: (纸本)9781424421756

In this paper, we propose a video-based full-body gesture recognition system independent of the view angle of the cameras. We performed multilinear analysis on the silhouette images of the static poses making up the gestures by tensor decomposition and projection. Each pair of silhouette images is projected to a view-invariant low dimensional pose coefficient vector space. These pose vectors are then used as input vectors in hid- den Markov model (HMM) for gesture recognition. This system worked effectively in our experiments using real videos. © 2008 IEEE.

关键词： Gesture recognition

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Robust Human Pose Recognition Using Unlabelled Markers

Robust Human Pose Recognition Using Unlabelled Markers

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IEEE Workshop on Applications of Computer Vision (WACV)

作者： Yi Wang Gang Qian Department of Computer Science and Engineering Arizona State University USA Arts Media and Engineering Program and Department of Electrical Engineering Arizona State University USA

In this paper, we tackle robust human pose recognition using unlabelled markers obtained from an optical marker-based motion capture system. A coarse-to-fine fast pose matching algorithm is presented with the following three steps. Given a query pose, firstly, the majority of the non-matching poses are rejected according to marker distributions along the radius and height dimensions. Secondly, relative rotation angles between the query pose and the remaining candidate poses are estimated using a fast histogram matching method based on circular convolution implemented using the fast Fourier transform. Finally, rotation angle estimates are refined using nonlinear least square minimization through the Levenberg-Marquardt minimization. In the presence of multiple solutions, false poses can be effectively removed by thresholding the minimized matching scores. The proposed framework can handle missing markers caused by occlusion. Experimental results using real motion capture data show the efficacy of the proposed approach.

关键词： Robustness Humans Least squares approximation Labeling Clouds Art Fast Fourier transforms Image recognition Computer science Biomedical optical imaging

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