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Addressing climate change with behavioral science: A global intervention tournament in 63 countries

science Advances 2024年第6期10卷 eadj5778页

作者： Vlasceanu, Madalina Doell, Kimberly C. Bak-Coleman, Joseph B. Todorova, Boryana Berkebile-Weinberg, Michael M. Grayson, Samantha J. Patel, Yash Goldwert, Danielle Pei, Yifei Chakroff, Alek Pronizius, Ekaterina van den Broek, Karlijn L. Vlasceanu, Denisa Constantino, Sara Morais, Michael J. Schumann, Philipp Rathje, Steve Fang, Ke Aglioti, Salvatore Maria Alfano, Mark Alvarado-Yepez, Andy J. Andersen, Angélica Anseel, Frederik Apps, Matthew A.J. Asadli, Chillar Awuor, Fonda Jane Azevedo, Flavio Basaglia, Piero Bélanger, Jocelyn J. Berger, Sebastian Bertin, Paul Bialek, Michal Bialobrzeska, Olga Blaya-Burgo, Michelle Bleize, Daniëlle N.M. Bø, Simen Boecker, Lea Boggio, Paulo S. Borau, Sylvie Bos, Björn Bouguettaya, Ayoub Brauer, Markus Brick, Cameron Brik, Tymofii Briker, Roman Brosch, Tobias Buchel, Ondrej Buonauro, Daniel Butalia, Radhika Carvacho, Héctor Chamberlain, Sarah A.E. Chan, Hang-Yee Chow, Dawn Chung, Dongil Cian, Luca Cohen-Eick, Noa Contreras-Huerta, Luis Sebastian Contu, Davide Cristea, Vladimir Cutler, Jo D'Ottone, Silvana De Keersmaecker, Jonas Delcourt, Sarah Delouvée, Sylvain Diel, Kathi Douglas, Benjamin D. Drupp, Moritz A. Dubey, Shreya Ekmanis, Jānis Elbaek, Christian T. Elsherif, Mahmoud Engelhard, Iris M. Escher, Yannik A. Etienne, Tom W. Farage, Laura Farias, Ana Rita Feuerriegel, Stefan Findor, Andrej Freira, Lucia Friese, Malte Gains, Neil Philip Gallyamova, Albina Geiger, Sandra J. Genschow, Oliver Gjoneska, Biljana Gkinopoulos, Theofilos Goldberg, Beth Goldenberg, Amit Gradidge, Sarah Grassini, Simone Gray, Kurt Grelle, Sonja Griffin, Siobhán M. Grigoryan, Lusine Grigoryan, Ani Grigoryev, Dmitry Gruber, June Guilaran, Johnrev Hadar, Britt Hahnel, Ulf J.J. Halperin, Eran Harvey, Annelie J. Haugestad, Christian A.P. Herman, Aleksandra M. Hershfield, Hal E. Himichi, Toshiyuki Hine, Donald W. Hofmann, Wilhelm Howe, Lauren Huaman-Chulluncuy, Enma T. Huang, Guanxiong Ishii, Tatsunori Ito, Ayahito Jia, Fanli Jost, John T. Jovanović, Veljko Jurgiel, Dominika Kácha, Ondřej Kankaanpää, Reeta Kant Department of Psychology New York University New YorkNY10003 United States Department of cognition emotion and Methods in Psychology Faculty of Psychology University of Vienna Vienna1010 Austria Craig newmark center for Journalism ethics and Security Columbia University New YorkNY10018 United States Institute for Rebooting Social Media Harvard University CambridgeMA02138 United States Department of Psychology Stanford University StanfordcA94305 United States San luis Obispo cA93405 United States Copernicus institute of Sustainable development Utrecht University Utrecht3584 cB Netherlands Department of Psychology University of Pittsburgh PittsburghPA15260 United States School of Public Policy and Urban Affairs Northeastern University BostonMA02115 United States Department of Psychology Northeastern University BostonMA02115 United States Amazon SeattleWA98109 United States Department of Psychology Carl von Ossietzky University of Oldenburg Oldenburg26129 Germany Santa lucia Foundation IRccS Rome179 Italy Department of Psychology Sapienza University of Rome Rome185 Italy Department of Philosophy Macquarie University SydneynSW2000 Australia Universidad Peruana cayetano heredia San Martín de Porres15102 Peru Post-Graduation Program in linguistics Federal University of Paraná Curitiba80060150 Brazil UnSW Business School University of new South Wales SydneynSW2052 Australia Centre for human Brain health School of Psychology University of Birmingham BirminghamB15 2tt United Kingdom Psychology Scientific Research institute Baku Azerbaijan Kenya Marine and Fisheries Research institute Kisumu1881-40100 Kenya Department of Psychology University of Groningen Groningen9712tS Netherlands Department of economics University of hamburg Hamburg20146 Germany De-partment of Psychology New York University Abu dhabi Abu dhabi129188 United Arab Emirates Department of Sociology University of Bern Bern3012 Switzerland LAPcOS Univers

Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors. © 2024 American Association for the Advancement of science. All rights reserved.

关键词： Climate change

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BHEL Smart Wall Blowing System: New Product Development in Manufacturing Industry

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Vikalpa 2021年第4期45卷 240 - 249页

作者： Abhishek Kumar R. Dhanuskodi R. Kaliappan K. Nandakumar Abhishek Kumar teaches design philosophies at Anant National University Ahmedabad. He earned his Ph.D in Management from Pondicherry University. He is an Economics graduate from Calcutta University and MBA from BIM Trichy. He has published more than 20 articles in reputed international journals has authored two books written articles and columns for newspapers and is quoted on issues related to leadership and marketing by various media platforms. His research work comprises construction of brand personality scale for media aesthetics and phenomenological design. His recent publications are on philosophy of a photograph hermeneutic reality of product and on philosophy of intimate spaces. R. Dhanuskodi has nearly 40 years of R&D experience at BHEL India in technical areas applicable for thermal power plants. He is a life member of The Institution of Engineers (India) and The Combustion Institute. He has won two BHEL’s Excel awards under the best author category for technical papers. He has visited France Netherlands and Germany under Indo-Europe Clean Coal Development Program. He has guided 42 UG PG and PhD project works. He holds 11 patents 40 copyrights and 2 design registrations. He has presented papers in 20 conferences and published in 10 national and international journals. R. Kaliappan completed his bachelors in electrical and electronics engineering and Masters in Computer Science. He has 36 years of research experience in different fields of power generation and power plant subsystems such as heat transfer studies on boiler circulation efficiency improvements of boiler subsystems product improvements/ enhancements and setting up test facilities for research studies. He has published a number of technical papers on MHD power generation and heat transfer studies in various national and international journals. He has more than 25 patents and copyrights on products development related to power boilers. He has won BHEL’S gold medal for product development for Smart Wall Blowing system. K. Nandakumar

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Publisher Correction: Paternal restraint stress affects offspring metabolism via ATF-2 dependent mechanisms in Drosophila melanogaster germ cells

Communications biology

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Communications biology 2020年第1期3卷 251页

作者： Ki-Hyeon Seong Nhung Hong Ly Yuki Katou Naoko Yokota Ryuichiro Nakato Shinnosuke Murakami Akiyoshi Hirayama Shinji Fukuda Siu Kang Tomoyoshi Soga Katsuhiko Shirahige Shunsuke Ishii RIKEN Cluster for Pioneering Research Tsukuba Ibaraki Japan. ki-hyeon.seong@riken.jp. PRESTO Japan Science and Technology Agency Kawaguchi Japan. ki-hyeon.seong@riken.jp. RIKEN Cluster for Pioneering Research Tsukuba Ibaraki Japan. Laboratory of Genome Structure and Function Institute for Quantitative Biosciences University of Tokyo Tokyo Japan. Laboratory of Computational Genomics Institute for Quantitative Biosciences University of Tokyo Tokyo Japan. Institute for Advanced Biosciences Keio University Tsuruoka Yamagata Japan. Systems Biology Program Graduate School of Media and Governance Keio University Fujisawa Kanagawa Japan. PRESTO Japan Science and Technology Agency Kawaguchi Japan. Transborder Medical Research Center University of Tsukuba Tsukuba Ibaraki Japan. Department of Bio-Systems Engineering Graduate School of Science and Engineering Yamagata University Yonezawa Yamagata Japan. RIKEN Cluster for Pioneering Research Tsukuba Ibaraki Japan. sishii@riken.jp.

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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A race for a better understanding of COVID-19 vaccine non-adopters

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Brain, Behavior, and Immunity - Health 2020年 9卷 100159-100159页

作者： Su, Zhaohui Wen, Jun Abbas, Jaffar McDonnell, Dean Cheshmehzangi, Ali Li, Xiaoshan Ahmad, Junaid Šegalo, Sabina Maestro, Daniel Cai, Yuyang Incoming Postdoctoral Fellow Center on Smart and Connected Health Technologies Mays Cancer Center School of Nursing UT Health San Antonio San Antonio 78229 TX United States School of Business and Law Edith Cowan University Perth 6027 WA Australia Antai College of Economics and Management and School of Media and Communication Shanghai Jiao Tong University Shanghai 200240 China Department of Humanities Institute of Technology Carlow Carlow R93 V960 Ireland Head of Department of Architecture and Built Environment Professor of Architecture and Urban Design Faculty of Science and Engineering University of Nottingham Ningbo China Ningbo 315100 Zhejiang China Program of Public Relations and Advertising Beijing Normal University-Hong Kong Baptist University United International College China Prime Institute of Public Health Peshawar Medical College Peshawar Warsak Road Peshawar 25160 Pakistan Department of Microbiology Faculty of Medicine University of Sarajevo Sarajevo 71000 Bosnia and Herzegovina Department of Environmental Health Institute for Public Health of Federation Bosnia and Herzegovina Sarajevo 71000 Bosnia and Herzegovina School of Public Health China Institute for Urban Governance Shanghai Jiao Tong University School of Medicine Shanghai 200025 China

In this paper, we aim to underscore the need for a more nuanced understanding of vaccine non-adopters. As the availability of vaccines does not translate into their de facto adoption—a phenomenon that may be more pronounced amid “Operation Warp Speed”—it is important for public health professionals to thoroughly understand their “customers” (i.e., end users of COVID-19 vaccines) to ensure satisfactory vaccination rates and to safeguard society at large. © 2020

关键词： Coronavirus COVID-19 Vaccination Vaccine hesitancy Vaccine non-adopters Vaccines

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Placing digital badges and micro-credentials in context

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Journal of Electronic Resources Librarianship 2017年第4期29卷 206-210页

作者： LaMagna, Michael Learning Commons Information Literacy Program & Library Services Coordinator Associate Professor & Reference Librarian Liaison for Science Technology Engineering & Mathematics (STEM) Delaware County Community College 901 S. Media Line Road Media 19063 PA United States

There is an increased focus on the use of stackable micro-credentials in education including the use of digital badges. These micro-credentials allow for students to learn specific skills or gain knowledge in focused areas of study. Stacking these micro-credentials together, students can demonstrate what they have learned. Understanding how micro-credentials and specifically digital badges are being used is important for libraries as they work to demonstrate their value as increased pressure continues to be applied from all sides. © 2017 The Author(s). Published with license by Taylor & Francis © 2017, © Michael LaMagna.

关键词： Digital badges higher education libraries micro-credentials

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The electron-capture origin of supernova 2018zd

arXiv

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arXiv 2020年

作者： Hiramatsu, Daichi Howell, D. Andrew van Dyk, Schuyler D. Goldberg, Jared A. Maeda, Keiichi Moriya, Takashi J. Tominaga, Nozomu Nomoto, Ken'ichi Hosseinzadeh, Griffin Arcavi, Iair McCully, Curtis Burke, Jamison Bostroem, K. Azalee Valenti, Stefano Dong, Yize Brown, Peter J. Andrews, Jennifer E. Bilinski, Christopher Williams, G. Grant Smith, Paul S. Smith, Nathan Sand, David J. Anand, Gagandeep S. Xu, Chengyuan Filippenko, Alexei V. Bersten, Melina C. Folatelli, Gastón Kelly, Patrick L. Noguchi, Toshihide Itagaki, Koichi Las Cumbres Observatory 6740 Cortona Drive Suite 102 GoletaCA93117-5575 United States Department of Physics University of California Santa BarbaraCA93106-9530 United States Caltech/Spitzer Science Center Caltech IPAC Mailcode 100-22 PasadenaCA91125 United States Department of Astronomy Kyoto University Kitashirakawa-Oiwake-cho Sakyo-ku Kyoto606-8502 Japan University of Tokyo Institutes for Advanced Study University of Tokyo 5-1-5 Kashiwanoha Kashiwa Chiba277-8583 Japan National Astronomical Observatory of Japan National Institutes of Natural Sciences 2-21-1 Osawa Mitaka Tokyo181-8588 Japan School of Physics and Astronomy Faculty of Science Monash University ClaytonVIC3800 Australia Department of Physics Faculty of Science and Engineering Konan University 8-9-1 Okamoto Hyogo Kobe658-8501 Japan Center for Astrophysics Harvard & Smithsonian 60 Garden Street CambridgeMA02138-1516 United States School of Physics and Astronomy Tel Aviv University Tel Aviv69978 Israel CIFAR Azrieli Global Scholars Program CIFAR Toronto Canada Department of Physics University of California 1 Shields Ave DavisCA95616-5270 United States Mitchell Institute for Fundamental Physics and Astronomy Texas A&M University College StationTX77843 United States Steward Observatory University of Arizona 933 North Cherry Avenue TucsonAZ85721-0065 United States MMT Observatory P.O. Box 210065 TucsonAZ85721-0065 United States Infrared Processing and Analysis Center California Institute of Technology PasadenaCA91125 United States Institute for Astronomy University of Hawai'i 2680 Woodlawn Drive HonoluluHI96822 United States Media Arts and Technology University of California Santa BarbaraCA93106-6065 United States Department of Astronomy University of California BerkeleyCA94720-3411 United States Miller Institute for Basic Research in Science University of California BerkeleyCA94720 United States CONICET Argentina Facultad de Ciencias Astronómi

In the transitional mass range (∼ 8-10 solar masses) between white dwarf formation and iron core-collapse supernovae, stars are expected to produce an electron-capture supernova. Theoretically, these progenitors are thought to be super-asymptotic giant branch stars with a degenerate O+Ne+Mg core, and electron capture onto Ne and Mg nuclei should initiate core collapse1,2,3,4. However, no supernovae have unequivocally been identified from an electron-capture origin, partly because of uncertainty in theoretical predictions. Here we present six indicators of electron-capture supernovae and show that supernova 2018zd is the only known supernova having strong evidence for or consistent with all six: progenitor identification, circumstellar material, chemical composition5,6,7, explosion energy, light curve, and nucleosynthesis8,9,10,11,12. For supernova 2018zd, we infer a super-asymptotic giant branch progenitor based on the faint candidate in the pre-explosion images and the chemically-enriched circumstellar material revealed by the early ultraviolet colours and flash spectroscopy. The light-curve morphology and nebular emission lines can be explained by the low explosion energy and neutron-rich nucleosynthesis produced in an electron-capture supernova. This identification provides insights into the complex stellar evolution, supernova physics, cosmic nucleosynthesis, and remnant populations in the transitional mass range. Copyright © 2020, The Authors. All rights reserved.

关键词： Supernovae

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DNA steganalysis using deep recurrent neural networks

arXiv

引用

arXiv 2017年

作者： Bae, Ho Lee, Byunghan Kwon, Sunyoung Yoon, Sungroh Interdisciplinary Program in Bioinformatics Seoul National University Seoul08826 Electrical and Computer Engineering Seoul National University Seoul08826 Electronic and IT Media Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of Clova AI Research NAVER Corp. Seongnam13561 ASRI INMC Seoul National University Seoul08826

Recent advances in next-generation sequencing technologies have facilitated the use of deoxyribonucleic acid (DNA) as a novel covert channels in steganography. There are vari-ous methods that exist in other domains to detect hidden messages in conventional covert channels. However, they have not been applied to DNA steganography. The current most common detection approaches, namely frequency analysis-based methods, often overlook important signals when directly applied to DNA steganography because those methods de-pend on the distribution of the number of sequence characters. To address this limitation, we propose a general sequence learning-based DNA steganalysis framework. The proposed approach learns the intrinsic distribution of coding and non-coding sequences and detects hidden messages by exploiting distribution variations after hiding these messages. Using deep recurrent neural networks (RNNs), our framework identifies the distribution varia-tions by using the classification score to predict whether a sequence is to be a coding or non-coding sequence. We compare our proposed method to various existing methods and biological sequence analysis methods implemented on top of our framework. According to our experimental results, our approach delivers a robust detection performance compared to other tools. Copyright © 2017, The Authors. All rights reserved.

关键词： Steganography

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P.394 Glutamatergic neurometabolite levels in patients with severe treatment-resistant schizophrenia: A cross-sectional 3t proton magnetic resonance spectroscopy study

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European Neuropsychopharmacology 2019年 29卷 S279-S280页

作者： Tarumi, R. Sakiko, T. Noda, Y. Plitman, E. Honda, S. Matsushita, K. Chavez, S. Sawada, K. Wada, M. Matsui, M. Fujii, S. Miyazaki, T. Chakravarty, M. Uchida, H. Remington, G. Graff-Guerrero, A. Mimura, M. Nakajima, S. Keio University School of Medicine Department of Neuropsychiatry Tokyo Japan Komagino Hospital Department of Psychiatry Tokyo Japan Douglas Mental Health University Institute Cerebral Imaging Centre Montreal Canada McGill University Department of Psychiatry Montreal Canada Keio University Graduate School of Media and Governance Tokyo Japan Keio University Faculty of Environment and Information Studies Tokyo Japan Centre for Addiction and Mental Health Campbell Institute Research Program Toronto Canada Kanazawa University Institute of Liberal Arts and Science Department of Clinical Cognitive Neuroscience Kanazawa Japan McGill University Department of Biomedical Engineering Montreal Canada University of Toronto Department of Psychiatry Toronto Canada

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Choreographic and somatic approaches for the development of expressive robotic systems

arXiv

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arXiv 2017年

作者： LaViers, Amy Cuan, Catie Heimerdinger, Madison Huzaifa, Umer Maguire, Catherine McNish, Reika Nilles, Alexandra Pakrasi, Ishaan Bradley, Karen Mata, Kim Brooks Chakraborty, Novoneel Vidrin, Ilya Zurawski, Alexander Mechanical Science and Engineering Department University of Illinois Urbana-Champaign United States Aerospace Engineering Department University of Illinois Urbana-Champaign United States Laban/Bartenieff Institute of Movement Studies Kinesiology and Community Health Department University of Illinois Urbana-Champaign United States Computer Science Department University of Illinois Urbana-Champaign United States Dance Program University of Virginia Integrated Movement Studies Centre for Dance Research Coventry University Department of Theatre Dance and Media Harvard University

As robotic systems are moved out of factory work cells into human-facing environments questions of choreography become central to their design, placement, and application. With a human viewer or counterpart present, a system will automatically be interpreted within context, style of movement, and form factor by human beings as animate elements of their environment. The interpretation by this human counterpart is critical to the success of the system’s integration: "knobs" on the system need to make sense to a human counterpart;an artificial agent should have a way of notifying a human counterpart of a change in system state, possibly through motion profiles;and the motion of a human counterpart may have important contextual clues for task completion. Thus, professional choreographers, dance practitioners, and movement analysts are critical to research in robotics. They have design methods for movement that align with human audience perception;they can help identify simplified features of movement that will effectively accomplish human-robot interaction goals;and they have detailed knowledge of the capacity of human movement. This article provides approaches employed by one research lab, specific impacts on technical and artistic projects within, and principles that may guide future such work. The background section reports on choreography, somatic perspectives, improvisation, the Laban/Bartenieff Movement System, and robotics. From this context methods including embodied exercises, writing prompts, and community building activities have been developed to facilitate interdisciplinary research. The results of this work is presented as an overview of a smattering of projects in areas like high-level motion planning, software development for rapid prototyping of movement, artistic output, and user studies that help understand how people interpret movement. Finally, guiding principles for other groups to adopt are posited. Copyright © 2017, The Authors. All rights reserv

关键词： Robotics

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3-6 SHV transmission experiments

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Journal of the National Institute of Information and Communications Technology 2017年第2期64卷 119-125页

作者： Kojima, Masaaki Suzuki, Yoichi Kawamua, Yuki Nakazawa, Susumu Aoki, Shuichi Nagasaka, Masafumi Matsusaki, Yoshifumi Koizumi, Yuki Kamei, Masashi Otsuki, Kazuhiro Tanaka, Shoji Saito, Tomohiro Sujikai, Hisashi Kimura, Takeshi Hashimoto, Akinori Shogen, Kazuyoshi Tsuchida, Kenichi Saito, Kyoichi Nakamura, Naoyoshi Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Satellite transmission Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Multimedia information system Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Media transport technologies IP Network Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Wireless links for Program Japan Japan Telecommunications Engineering and Consulting Service Satellite broadcasting Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Multiplexing scheme Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Antennas for satellite broadcasting Japan Science and Technology Research Laboratories NHK Satellite and Terrestrial transmission Japan Broadcasting Network Planning Division Transmission and Reception Engineering Center Engineering Administration Department NHK Transmission systems for broadcasting Japan Broadcasting satellite system Radio transmission technology Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Digital terrestrial broadcasting system Japan Media Planning Bureau NHK Optical transmission Japan

NHK has been studying "4K/8K Super Hi-Vision (ultra high definition) TV" as next generation TV system and aimed to achieve the 4K/8K broadcasting services for satellite. In this paper, we report experimental results of the demonstrations and performance evaluations for 8K multi-channels and functional verifications for transmission systems. © 2017 National Institute of Information and Communications Technology. All rights reserved.

关键词： Broadcasting

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