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Extended measurement of the cosmic-ray electron and positron spectrum from 11 GeV to 4.8 TeVwith the calorimetric electron telescope on the international space station

arXiv

引用

arXiv 2018年

作者： Adriani, O. Akaike, Y. Asano, K. Asaoka, Y. Bagliesi, M.G. Berti, E. Bigongiari, G. Bonechi, S. Bongi, M. Brogi, P. Buckley, J.H. Cannady, N. Castellini, G. Checchia, C. Cherry, M.L. Collazuol, G. Di Felice, V. Ebisawa, K. Fuke, H. Guzik, T.G. Hams, T. Hareyama, M. Hasebe, N. Hibino, K. Ichimura, M. Ioka, K. Ishizaki, W. Kasahara, K. Kataoka, J. Kataoka, R. Katayose, Y. Kato, C. Kawanaka, N. Kawakubo, Y. Kohri, K. Krizmanic, J.F. Lomtadze, T. Maestro, P. Marrocchesi, P.S. Messineo, A.M. Mitchell, J.W. Miyake, S. Moiseev, A.A. Mori, K. Mori, M. Mori, N. Motz, H.M. Munakata, K. Murakami, H. Nakahira, S. Nishimura, J. de Nolfo, G.A. Okuno, S. Ormes, J.F. Ozawa, S. Pacini, L. Palma, F. Papini, P. Penacchioni, A.V. Ricciarini, S.B. Sakai, K. Sakamoto, T. Sasaki, M. Shimizu, Y. Shiomi, A. Sparvoli, R. Spillantini, P. Stolzi, F. Suh, J.E. Sulaj, A. Takahashi, I. Takayanagi, M. Takita, M. Tamura, T. Tateyama, N. Terasawa, T. Tomida, H. Torii, S. Tsunesada, Y. Uchihori, Y. Ueno, S. Vannuccini, E. Wefel, J.P. Yamaoka, K. Yanagita, S. Yoshida, A. Yoshida, K. Department of Physics University of Florence Via Sansone 1 Sesto Fiorentino50019 Italy INFN Sezione di Florence Via Sansone Sesto Fiorentino1 - 50019 Italy Department of Physics University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States Astroparticle Physics Laboratory NASA/GSFC GreenbeltMD20771 United States Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba277-8582 Japan Research Institute for Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki305-8505 Japan Department of Physical Sciences Earth and Environment University of Siena via Roma 56 Siena53100 Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3 Pisa56127 Italy Department of Physics Washington University One Brookings Drive St. LouisMO63130-4899 United States Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton RougeLA70803 United States Via Madonna del Piano 10 Sesto Fiorentino50019 Italy Department of Physics and Astronomy University of Padova Via Marzolo 8 Padova35131 Italy INFN Sezione di Padova Via Marzolo 8 Padova35131 Italy University of Rome "Tor Vergata" Via della Ricerca Scientifica 1 Rome00133 Italy INFN Sezione di Rome "Tor Vergata" Via della Ricerca Scientifica 1 Rome00133 Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa252-5210 Japan CRESST and Astroparticle Physics Laboratory NASA GSFC GreenbeltMD20771 United States St. Marianna University School of Medicine 2-16-1 Sugao Miyamae-ku Kawasaki Kanagawa216-8511 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa221-8686 Japan Faculty of Science and Technology Graduate School of Science and Technology Hir

Extended results on the cosmic-ray electron + positron spectrum from 11 GeV to 4.8 TeV are presented based on observations with the Calorimetric Electron Telescope (CALET) on the International Space Station utilizing the data up to November 2017. The analysis uses the full detector acceptance at high energies, approximately doubling the statistics compared to the previous result. CALET is an all-calorimetric instrument with a total thickness of 30 X0 at normal incidence and fine imaging capability, designed to achieve large proton rejection and excellent energy resolution well into the TeV energy region. The observed energy spectrum in the region below 1 TeV shows good agreement with Alpha Magnetic Spectrometer (AMS-02) data. In the energy region below ∼300 GeV, CALET’s spectral index is found to be consistent with the AMS-02, Fermi Large Area Telescope (Fermi-LAT), and DArk Matter Particle Explorer (DAMPE), while from 300 to 600 GeV the spectrum is significantly softer than the spectra from the latter two experiments. The absolute flux of CALET is consistent with other experiments at around a few tens of GeV. However, it is lower than those of DAMPE and Fermi-LAT with the difference increasing up to several hundred GeV. The observed energy spectrum above ∼1 TeV suggests a flux suppression consistent within the errors with the results of DAMPE, while CALET does not observe any significant evidence for a narrow spectral feature in the energy region around 1.4 TeV. Our measured all-electron flux, including statistical errors and a detailed breakdown of the systematic errors, is tabulated in the Supplemental Material in order to allow more refined spectral analyses based on our data. Copyright © 2018, The Authors. All rights reserved.

关键词： Cosmology

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Search for GeV gamma-ray counterparts of gravitational wave events by CALET

arXiv

引用

arXiv 2018年

作者： Adriani, O. Akaike, Y. Asano, K. Asaoka, Y. Bagliesi, M.G. Berti, E. Bigongiari, G. Binns, W.R. Bonechi, S. Bongi, M. Brogi, P. Buckley, J.H. Cannady, N. Castellini, G. Checchia, C. Cherry, M.L. Collazuol, G. Di Felice, V. Ebisawa, K. Fuke, H. Guzik, T.G. Hams, T. Hareyama, M. Hasebe, N. Hibino, K. Ichimura, M. Ioka, K. Ishizaki, W. Israel, M.H. Kasahara, K. Kataoka, J. Kataoka, R. Katayose, Y. Kato, C. Kawanaka, N. Kawakubo, Y. Krawczynski, H.S. Krizmanic, J.F. Kohri, K. Lomtadze, T. Maestro, P. Marrocchesi, P.S. Messineo, A.M. Mitchell, J.W. Miyake, S. Moiseev, A.A. Mori, K. Mori, M. Mori, N. Motz, H.M. Munakata, K. Murakami, H. Nakahira, S. Nishimura, J. de Nolfo, G.A. Okuno, S. Ormes, J.F. Ozawa, S. Pacini, L. Palma, F. Papini, P. Penacchioni, A.V. Rauch, B.F. Ricciarini, S.B. Sakai, K. Sakamoto, T. Sasaki, M. Shimizu, Y. Shiomi, A. Sparvoli, R. Spillantini, P. Stolzi, F. Suh, J.E. Sulaj, A. Takahashi, I. Takayanagi, M. Takita, M. Tamura, T. Tateyama, N. Terasawa, T. Tomida, H. Torii, S. Tsunesada, Y. Uchihori, Y. Ueno, S. Vannuccini, E. Wefel, J.P. Yamaoka, K. Yanagita, S. Yoshida, A. Yoshida, K. Department of Physics University of Florence Via Sansone 1 Sesto Fiorentino50019 Italy INFN Sezione di Florence Via Sansone 1 Sesto Fiorentino50019 Italy Department of Physics University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States Astroparticle Physics Laboratory NASA/GSFC GreenbeltMD20771 United States Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba277-8582 Japan Research Institute for Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki305-8505 Japan Department of Physical Sciences Earth and Environment University of Siena via Roma 56 Siena53100 Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3 Pisa56127 Italy Department of Physics Washington University One Brookings Drive St. LouisMO63130-4899 United States Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton RougeLA70803 United States Via Madonna del Piano 10 Sesto Fiorentino50019 Italy Department of Physics and Astronomy University of Padova Via Marzolo 8 Padova35131 Italy INFN Sezione di Padova Via Marzolo 8 Padova35131 Italy University of Rome "Tor Vergata" Via della Ricerca Scientifica 1 Rome00133 Italy INFN Sezione di Rome "Tor Vergata" Via della Ricerca Scientifica 1 Rome00133 Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa252-5210 Japan CRESST and Astroparticle Physics Laboratory NASA GSFC GreenbeltMD20771 United States St. Marianna University School of Medicine 2-16-1 Sugao Miyamae-ku Kawasaki Kanagawa216-8511 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa221-8686 Japan Faculty of Science and Technology Graduate School of Science and Technology Hiro

We present results on searches for gamma-ray counterparts of the LIGO/Virgo gravitational-wave events using CALorimetric Electron Telescope (CALET) observations. The main instrument of CALET, CALorimeter (CAL), observes gamma-rays from ∼ 1 GeV up to 10 TeV with a field of view of nearly 2 sr. In addition, the CALET gamma-ray burst monitor (CGBM) views ∼3 sr and ∼ 2π sr of the sky in the 7 keV – 1 MeV and the 40 keV – 20 MeV bands, respectively, by using two different crystal scintillators. The CALET observations on the International Space Station started in October 2015, and here we report analyses of events associated with the following gravitational wave events: GW151226, GW170104, GW170608, GW170814 and GW170817. Although only upper limits on gamma-ray emission are obtained, they correspond to a luminosity of 1049 ∼ 1053 erg s−1 in the GeV energy band depending on the distance and the assumed time duration of each event, which is approximately the order of luminosity of typical short gamma-ray bursts. This implies there will be a favorable opportunity to detect high-energy gamma-ray emission in further observations if additional gravitational wave events with favorable geometry will occur within our field-of-view. We also show the sensitivity of CALET for gamma-ray transient events which is the order of 10−7 erg cm−2 s−1 for an observation of 100 s duration. Copyright © 2018, The Authors. All rights reserved.

关键词： Gravity waves

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Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network

Driving fatigue prediction with pre-event electroencephalogr...

引用

IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Yu-Ting Liu Shang-Lin Wu Kuang-Pen Chou Yang-Yin Lin Jie Lu Guangquan Zhang Wen-Chieh Lin Chin-Teng Lin Brain Research Center Institute of Electrical Control Engineering Institute of Computer Science and Engineering Electronic Systems Research Division National Chung-Shan Institute of Science and Technology (NCSIST) Taoyuan Taiwan FacuIty of Engineering and Information Technology University of Technology Sydney Sydney Australia Department of Computer Science National Chiao-Tung University Hsinchu Taiwan

ISBN: (纸本)9781509006274

We propose an electroencephalography (EEG) prediction system based on a recurrent fuzzy neural network (RFNN) architecture to assess drivers' fatigue degrees during a virtual-reality (VR) dynamic driving environment. Prediction of fatigue degrees is a crucial and arduous biomedical issue for driving safety, which has attracted growing attention of the research community in the recent past. Meanwhile, combined with the benefits of measuring EEG signals facilitates, many EEG-based brain-computer interfaces (BCIs) have been developed for use in real-time mental assessment. In the literature, EEG signals are severely blended with stochastic noise; therefore, the performance of BCIs is constrained by low resolution in recognition tasks. For this rationale, independent component analysis (ICA) is usually used to find a source mapping from original data that has been blended with unrelated artificial noise. However, the mechanism of ICA cannot be used in real-time BCI design. To overcome this bottleneck, the proposed system in this paper utilizes a recurrent self-evolving fuzzy neural work (RSEFNN) to increase memory capability for adaptive noise cancellation when assessing drivers' mental states during a car driving task. The experimental results without the use of ICA procedure indicate that the proposed RSEFNN model remains superior performance compared with the state-of-the-arts models.

关键词： Electroencephalography Fatigue Real-time systems Vehicles Fuzzy neural networks Signal processing algorithms Integrated circuits

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Exome sequencing of Finnish isolates enhances rare-variant association power (vol 572, pg 323, 2019)

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NATURE 2019年第7783期575卷 E4-E4页

作者： Locke, Adam E. Steinberg, Karyn Meltz Chiang, Charleston W. K. Service, Susan K. Havulinna, Aki S. Stell, Laurel Pirinen, Matti Abel, Haley J. Chiang, Colby C. Fulton, Robert S. Jackson, Anne U. Kang, Chul Joo Kanchi, Krishna L. Koboldt, Daniel C. Larson, David E. Nelson, Joanne Nicholas, Thomas J. Pietila, Arto Ramensky, Vasily Ray, Debashree Scott, Laura J. Stringham, Heather M. Vangipurapu, Jagadish Welch, Ryan Yajnik, Pranav Yin, Xianyong Eriksson, Johan G. Ala-Korpela, Mika Jarvelin, Marjo-Riitta Mannikko, Minna Laivuori, Hannele Project, FinnGen Dutcher, Susan K. Stitziel, Nathan O. Wilson, Richard K. Hall, Ira M. Sabatti, Chiara Palotie, Aarno Salomaa, Veikko Laakso, Markku Ripatti, Samuli Boehnke, Michael Freimer, Nelson B. Department of Medicine Washington University School of Medicine St Louis USA McDonnell Genome Institute Washington University School of Medicine St Louis USA Department of Biostatistics and Center for Statistical Genetics University of Michigan School of Public Health Ann Arbor USA Department of Pediatrics Washington University School of Medicine St Louis USA Center for Neurobehavioral Genetics Jane and Terry Semel Institute for Neuroscience and Human Behavior University of California Los Angeles Los Angeles USA Center for Genetic Epidemiology Department of Preventive Medicine Keck School of Medicine University of Southern California Los Angeles USA Quantitative and Computational Biology Section Department of Biological Sciences University of Southern California Los Angeles USA Institute for Molecular Medicine Finland (FIMM) University of Helsinki Helsinki Finland National Institute for Health and Welfare Helsinki Finland Department of Biomedical Data Science Stanford University Stanford USA Department of Public Health University of Helsinki Helsinki Finland Helsinki Institute for Information Technology HIIT and Department of Mathematics and Statistics University of Helsinki Helsinki Finland Department of Genetics Washington University School of Medicine St Louis USA The Institute for Genomic Medicine Nationwide Children’s Hospital Columbus USA Department of Pediatrics The Ohio State University College of Medicine Columbus USA USTAR Center for Genetic Discovery and Department of Human Genetics University of Utah Salt Lake City USA Federal State Institution “National Medical Research Center for Preventive Medicine” of the Ministry of Healthcare of the Russian Federation Moscow Russia Departments of Epidemiology and Biostatistics Bloomberg School of Public Health Johns Hopkins University Baltimore USA Institute of Clinical Medicine Internal Medicine University of Eastern Finland Kuopio Finland Department of Public Health Solutions National Institute for

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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Construction of KAGRA: An underground gravitational wave observatory

arXiv

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arXiv 2017年

作者： Akutsu, T. Ando, M. Araki, S. Araya, A. Arima, T. Aritomi, N. Asada, H. Aso, Y. Atsuta, S. Awai, K. Baiotti, L. Barton, M.A. Chen, D. Cho, K. Craig, K. DeSalvo, R. Doi, K. Eda, K. Enomoto, Y. Flaminio, R. Fujibayashi, S. Fujii, Y. Fujimoto, M.-K. Fukushima, M. Furuhata, T. Hagiwara, A. Haino, S. Harita, S. Hasegawa, K. Hasegawa, M. Hashino, K. Hayama, K. Hirata, N. Hirose, E. Ikenoue, B. Inoue, Y. Ioka, K. Ishizaki, H. Itoh, Y. Jia, D. Kagawa, T. Kaji, T. Kajita, T. Kakizaki, M. Kakuhata, H. Kamiizumi, M. Kanbara, S. Kanda, N. Kanemura, S. Kaneyama, M. Kasuya, J. Kataoka, Y. Kawaguchi, K. Kawai, N. Kawamura, S. Kawazoe, F. Kim, C. Kim, J. Kim, J.C. Kim, W. Kimura, N. Kitaoka, Y. Kobayashi, K. Kojima, Y. Kokeyama, K. Komori, K. Kotake, K. Kubo, K. Kumar, R. Kume, T. Kuroda, K. Kuwahara, Y. Lee, H.-K. Lee, H.-W. Lin, C.-Y. Liu, Y. Majorana, E. Mano, S. Marchio, M. Matsui, T. Matsumoto, N. Matsushima, F. Michimura, Y. Mio, N. Miyakawa, O. Miyake, K. Miyamoto, A. Miyamoto, T. Miyo, K. Miyoki, S. Morii, W. Morisaki, S. Moriwaki, Y. Muraki, Y. Murakoshi, M. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakamura, T. Nakano, H. Nakano, M. Nakano, M. Nakao, H. Nakao, K. Narikawa, T. Ni, W.-T. Nonomura, T. Obuchi, Y. Oh, J.J. Oh, S.-H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohmae, N. Okino, K. Okutomi, K. Ono, K. Ono, Y. Oohara, K. Ota, S. Park, J. Peña Arellano, F.E. Pinto, I.M. Principe, M. Sago, N. Saijo, M. Saito, T. Saito, Y. Saitou, S. Sakai, K. Sakakibara, Y. Sasaki, Y. Sato, S. Sato, T. Sato, Y. Sekiguchi, T. Sekiguchi, Y. Shibata, M. Shiga, K. Shikano, Y. Shimoda, T. Shinkai, H. Shoda, A. Someya, N. Somiya, K. Son, E.J. Starecki, T. Suemasa, A. Sugimoto, Y. Susa, Y. Suwabe, H. Suzuki, T. Tachibana, Y. Tagoshi, H. Takada, S. Takahashi, H. Takahashi, R. Takamori, A. Takeda, H. Tanaka, H. Tanaka, K. Tanaka, T. Tatsumi, D. National Astronomical Observatory of Japan Tokyo181-8588 Japan Graduate School of Science University of Tokyo Tokyo113-0033 Japan Department of Physics Graduate School of Science University of Tokyo Tokyo113-0033 Japan Ibaraki305-0801 Japan Earthquake Research Institute University of Tokyo Tokyo113-0032 Japan Department of Physics Graduate School of Science Osaka City University Osaka558-8585 Japan Graduate School of Science and Technology Hirosaki University Aomori036-8561 Japan Department of Physics Graduate School of Science and Engineering Tokyo Institute of Technology Tokyo152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Chiba277-8582 Japan Institute for Cosmic Ray Research University of Tokyo Gifu506-1205 Japan Graduate School of Science Osaka University Osaka560-0043 Japan Department of Physics Sogang University Seoul121-742 Korea Republic of University of Sannio at Benevento BeneventoI-82100 Italy Sezione di Napoli NapoliI-80126 Italy University of Toyama Toyama930-8555 Japan Department of Physics Graduate School of Science Kyoto University Kyoto606-8502 Japan Institute of Physics Academia Sinica Taipei11529 Taiwan University of Toyama Toyama930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Kyoto606-8502 Japan Albert-Einstein-Institut Max-Planck-Institut für Gravitationsphysik HannoverD-30167 Germany Department of Physics and Astronomy Seoul National University Seoul151-742 Korea Republic of Daejeon34055 Korea Republic of Department of Physics Myongji University Yongin449-728 Korea Republic of Department of Computer Simulation Inje University Gimhae-shi50834 Korea Republic of Daejeon34047 Korea Republic of Department of Physical Science Graduate School of Science Hiroshima University Hiroshima903-0213 Japan Department of Applied Physics Graduate School of Science Fukuoka University Fukuoka814-0180 Japan Graduate School of Science and Engineer

Major construction and initial-phase operation of a second-generation gravitational-wave detector KAGRA has been completed. The entire 3-km detector is installed underground in a mine in order to be isolated from background seismic vibrations on the surface. This allows us to achieve a good sensitivity at low frequencies and high stability of the detector. Bare-bones equipment for the interferometer operation has been installed and the first test run was accomplished in March and April of 2016 with a rather simple configuration. The initial configuration of KAGRA is named iKAGRA. In this paper, we summarize the construction of KAGRA, including the study of the advantages and challenges of building an underground detector and the operation of the iKAGRA interferometer together with the geophysics interferometer that has been constructed in the same tunnel. Copyright © 2017, The Authors. All rights reserved.

关键词： Interferometers

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Link prediction of LOD by multiple label propagation algorithm considering semantic distance

Link prediction of LOD by multiple label propagation algorit...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Toshitaka Maki Kazuki Takahashi Akihiro Yamaguchi Toshihiko Wakahara Toru Kobayashi Akihisa Kodate Noboru Sonehara Intelligent Information System Engineering Fukuoka Institute of Technology FIT Fukuoka Japan Communication & Information Networking Fukuoka Institute of Technology FIT Fukuoka Japan Information and Systems Engineering Fukuoka Institute of Technology FIT Fukuoka Japan Computer and Information Sciences Program Nagasaki University Nagasaki Univ. Nagasaki Japan Department of Computer Science Tsuda College Tsuda Tokyo Japan Information and Society Research Division National Institute of Informatics NII Tokyo Japan

ISBN: (纸本)9781509023349

This paper presents link prediction of Linked Open Data (LOD) by Multiple Label Propagation Algorithm (MLPA). The current LOD do not have enough links. Therefore, the LOD have not been able to exert so much semantic characteristics. In order to solve this problem, we proposed the MLPA considering semantic distance. The MLPA can expand potential links of each data contained in the LOD. The experimental result of the MLPA shows the good performance and the validity of this algorithm is confirmed.

关键词： Prediction algorithms Semantics Metadata Algorithm design and analysis Conferences Consumer electronics Resource description framework

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Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

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Nature communications 2021年第1期12卷 995页

作者： Vasiliki Lagou Reedik Mägi Jouke- Jan Hottenga Harald Grallert John R B Perry Nabila Bouatia-Naji Letizia Marullo Denis Rybin Rick Jansen Josine L Min Antigone S Dimas Anna Ulrich Liudmila Zudina Jesper R Gådin Longda Jiang Alessia Faggian Amélie Bonnefond Joao Fadista Maria G Stathopoulou Aaron Isaacs Sara M Willems Pau Navarro Toshiko Tanaka Anne U Jackson May E Montasser Jeff R O'Connell Lawrence F Bielak Rebecca J Webster Richa Saxena Jeanette M Stafford Beate St Pourcain Nicholas J Timpson Perttu Salo So-Youn Shin Najaf Amin Albert V Smith Guo Li Niek Verweij Anuj Goel Ian Ford Paul C D Johnson Toby Johnson Karen Kapur Gudmar Thorleifsson Rona J Strawbridge Laura J Rasmussen-Torvik Tõnu Esko Evelin Mihailov Tove Fall Ross M Fraser Anubha Mahajan Stavroula Kanoni Vilmantas Giedraitis Marcus E Kleber Günther Silbernagel Julia Meyer Martina Müller-Nurasyid Andrea Ganna Antti-Pekka Sarin Loic Yengo Dmitry Shungin Jian'an Luan Momoko Horikoshi Ping An Serena Sanna Yvonne Boettcher N William Rayner Ilja M Nolte Tatijana Zemunik Erik van Iperen Peter Kovacs Nicholas D Hastie Sarah H Wild Stela McLachlan Susan Campbell Ozren Polasek Olga Carlson Josephine Egan Wieland Kiess Gonneke Willemsen Johanna Kuusisto Markku Laakso Maria Dimitriou Andrew A Hicks Rainer Rauramaa Stefania Bandinelli Barbara Thorand Yongmei Liu Iva Miljkovic Lars Lind Alex Doney Markus Perola Aroon Hingorani Mika Kivimaki Meena Kumari Amanda J Bennett Christopher J Groves Christian Herder Heikki A Koistinen Leena Kinnunen Ulf de Faire Stephan J L Bakker Matti Uusitupa Colin N A Palmer J Wouter Jukema Naveed Sattar Anneli Pouta Harold Snieder Eric Boerwinkle James S Pankow Patrik K Magnusson Ulrika Krus Chiara Scapoli Eco J C N de Geus Matthias Blüher Bruce H R Wolffenbuttel Michael A Province Goncalo R Abecasis James B Meigs G Kees Hovingh Jaana Lindström James F Wilson Alan F Wright George V Dedoussis Stefan R Bornstein Peter E H Schwarz Anke Tönjes Bernhard R Winkelmann Bernhard O Boehm Winfried März Andres Metspalu Jackie F Price Panos Delouk Wellcome Centre for Human Genetics University of Oxford Oxford UK. Department of Microbiology and Immunology Laboratory of Adaptive Immunity KU Leuven Leuven Belgium. VIB-KU Leuven Center for Brain and Disease Research Leuven Belgium. Estonian Genome Centre Institute of Genomics University of Tartu Tartu Estonia. Department of Biological Psychology Vrije Universiteit Amsterdam The Netherlands. Amsterdam Public Health Research Institute VU University medical center Amsterdam The Netherlands. Research Unit of Molecular Epidemiology Institute of Epidemiology Helmholtz Zentrum München Research Center for Environmental Health Neuherberg Germany. German Center for Diabetes Research (DZD München-Neuherberg Germany. MRC Epidemiology Unit University of Cambridge School of Clinical Medicine Cambridge UK. University of Lille Nord de France Lille France. CNRS UMR8199 Institut Pasteur de Lille Lille France. INSERM U970 Paris Cardiovascular Research Center PARCC 75006 Paris France. Department of Life Sciences and Biotechnology University of Ferrara Ferrara Italy. Boston University Data Coordinating Center Boston MA USA. Department of Psychiatry VU University Medical Center Amsterdam The Netherlands. MRC Integrative Epidemiology Unit University of Bristol Bristol UK. Bristol Medical School University of Bristol Bristol UK. Institute for Bioinnovation Biomedical Sciences Research Center Al. Fleming Vari Greece. Department of Medicine Imperial College London London UK. Cardiovascular Medicine Unit Center for Molecular Medicine Department of Medicine Karolinska Institutet Stockholm Karolinska University Hospital Solna Sweden. Institute for Molecular Bioscience The University of Queensland Brisbane QLD 4072 Australia. Department of Epidemiology Research Statens Serum Institut Copenhagen Denmark. Université de Lorraine IGE-PCV F-54000 Nancy France. Genetic Epidemiology Unit Department of Epidemiology Erasmus Medical Center Rotterdam the Netherlands. CAR

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Rotation and strain rate of Sulawesi from geometrical velocity field

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AIP Conference Proceedings 2017年第1期1857卷

作者： D. A. Sarsito Susilo W. J. F. Simons H. Z. Abidin B. Sapiie W. Triyoso H. Andreas 1Geodesy Research Division - Faculty of Earth Science and Technology Institute of Technology Bandung Jl. Ganesha 10 Bandung 40132 - Indonesia 4Geospatial Information Agency Cibinong Indonesia 5Delft Institute of Earth Observation and Space Systems (DEOS) Delft University of Technology Delft Netherlands 2Geology Research Division Faculty of Earth Science and Technology Institute of Technology Bandung Jl. Ganesha 10 Bandung 40132 - Indonesia 3Global Geophysics Reseach Division – Faculty of Mining and Petroleum Energy Institute of Technology Bandung Jl. Ganesha 10 Bandung 40132 - Indonesia

One of methods that can be used to determine the tectonic deformation status is rate estimation from geometric rotation and strain using quantitative velocity data from GPS observations. Microplate Sulawesi region located in the zone of triple junction (Eurasia, Australia and Philippine Sea Plates) has very complex tectonic and seismic condition, which is why become very important to know its recent deformation status in order to study neo-tectonic and disaster mitigation. Deformation rate quantification is estimated in two parameters: rotation and geodetic strain rate of each GPS station Delaunay triangle in the study area. The analysis in this study is not done using the grids since there is no rheological information at location that can be used as the interpolation-extrapolation constraints. Our analysis reveals that Sulawesi is characterized by rapid rotation in several different domains and compression-strain pattern that varies depending on the type and boundary conditions of microplate. This information is useful for studying neo tectonic deformation status and earthquake disaster mitigation.

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Newly velocity field of Sulawesi Island from GPS observation

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AIP Conference Proceedings 2017年第1期1857卷

Sulawesi microplate Island is located at famous triple junction area of the Eurasian, India–Australian, and Philippine Sea plates. Under the influence of the northward moving Australian plate and the westward motion of the Philippine plate, the island at Eastern part of Indonesia is collide and with the Eurasian plate and Sunda Block. Those recent microplate tectonic motions can be quantitatively determine by GNSS-GPS measurement. We use combine GNSS-GPS observation types (campaign type and continuous type) from 1997 to 2015 to derive newly velocity field of the area. Several strategies are applied and tested to get the optimum result, and finally we choose regional strategy to reduce error propagation contribution from global multi baseline processing using GAMIT/GLOBK 10.5. Velocity field are analyzed in global reference frame ITRF 2008 and local reference frame by fixing with respect alternatively to Eurasian plate - Sunda block, India–Australian plate and Philippine Sea plates. Newly results show dense distribution of velocity field. This information is useful for tectonic deformation studying in geospatial era.

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Detecting preferences based on eye movement using combinatorial fusion

Detecting preferences based on eye movement using combinator...

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IEEE International Conference on Cognitive Informatics

作者： Christina Schweikert Shinsuke Shimojo D. Frank Hsu Division of Computer Science St. John's University Queens NY Division of Biology/Computation and Neural Systems California Institute of Technology Pasadena CA USA Department of Computer and Information Science Fordham University New York NY USA

ISBN: (纸本)9781509038473

When tasked with comparing two images on a screen, a subject's eye movement can be captured and analyzed in order to understand the process of preference formation. The process of comparing two images and developing a preference is analyzed based on a sample dataset. Although it is known in general that our preferences are shaped by our past experiences, a systemic understanding of the factors which lead to preference decision making remains a challenging problem. In this paper, we propose a set of five attributes which are extracted from the temporal eye movement sequence: last duration, total duration, gaze count, interest sustainability, and region change. Each of these five attributes is a scoring system (ranking system). We then use the combinatorial fusion algorithm (CFA) framework to combine pairs of attributes using the rank-score characteristic (RSC) function and cognitive diversity (CD). Our results demonstrate that combination of two attributes can improve individual attributes if the attribute pair has a higher cognitive diversity. Our work represents a new paradigm to use combinatorial fusion for preference detection based on eye movement.

关键词： Decision support systems

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