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arXiv 2017年

作者： Nilsson, R. Veicht, A. Giorla Godfrey, P.A. Rice, E.L. Aguilar, J. Pueyo, L. Roberts, L.C. Oppenheimer, R. Brenner, D. Luszcz-Cook, S.H. Bacchus, E. Beichman, C. Burruss, R. Cady, E. Dekany, R. Fergus, R. Hillenbrand, L. Hinkley, S. King, D. Lockhart, T. Parry, I.R. Sivaramakrishnan, A. Soummer, R. Vasisht, G. Zhai, C. Zimmerman, N.T. Astrophysics Department American Museum of Natural History Central Park West at 79th Street New YorkNY10024 United States Department of Astronomy Stockholm University AlbaNova University Center Roslagstullsbacken 21 StockholmSE-106 91 Sweden Department of Astronomy California Institute of Technology 1200 E. California Blvd PasadenaCA91125 United States Physics Program Graduate Center City University of New York New YorkNY10016 United States Department of Engineering Science & Physics College of Staten Island 2800 Victory Blvd. Staten IslandNY10314 United States Department of Physics and Astronomy Johns Hopkins University BaltimoreMD21218 United States Space Telescope Science Institute 3700 San Martin Drive BaltimoreMD21218 United States Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr. PasadenaCA91109 United States Institute of Astronomy Cambridge University Madingley Road CambridgeCB3 0HA United Kingdom NASA Exoplanet Science Institute California Institute of Technology PasadenaCA91125 United States Caltech Optical Observatories California Institute of Technology PasadenaCA91125 United States Department of Computer Science Courant Institute of Mathematical Sciences New York University 715 Broadway New YorkNY10003 United States School of Physics University of Exeter Stocker Road ExeterEX4 4QL United Kingdom

The nearby Sun-like star GJ 758 hosts a cold substellar companion, GJ 758 B, at a projected separation of 30 au, previously detected in high-contrast multi-band photometric observations. In order to better constrain the companion’s physical characteristics, we acquired the first low-resolution (R ∼ 50) near-infrared spectrum of it using the high-contrast hyperspectral imaging instrument Project 1640 on Palomar Observatory’s 5 m Hale telescope. We obtained simultaneous images in 32 wavelength channels covering the Y , J, and H bands (∼952–1770 nm), and used data processing techniques based on principal component analysis to efficiently subtract chromatic background speckle-noise. GJ 758 B was detected in four epochs during 2013 and 2014. Basic astrometric measurements confirm its apparent northwest trajectory relative to the primary star, with no clear signs of orbital curvature. Spectra of SpeX/IRTF observed T dwarfs were compared to the combined spectrum of GJ 758 B, with χ2 minimization suggesting a best fit for spectral type T7.0±1.0, but with a shallow minimum over T5–T8. Fitting of synthetic spectra from the BT-Settl13 model atmospheres gives an effective temperature Teff = 741 ± 25 K and surface gravity log g = 4.3 ± 0.5 dex (cgs). Our derived best-fit spectral type and effective temperature from modeling of the low-resolution spectrum suggest a slightly earlier and hotter companion than previous findings from photometric data, but do not rule out current results, and confirm GJ 758 B as one of the coolest sub-stellar companions to a Sun-like star to date. Copyright © 2017, The Authors. All rights reserved.

关键词： Principal component analysis

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Time management skills and student performance in online courses 122

Time management skills and student performance in online cou...

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2015 122nd ASEE Annual Conference and Exposition

作者： Miertschin, Susan L. Goodson, Carole E. Stewart, Barbara Louise Computer Information Systems Program University of Houston United States Department of Technology University of Houston United States Department of Retailing and Consumer Science University of Houston United States

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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

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Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva Alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch Alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský Ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif Alan C Seifert Alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley Alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

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Combining context-Aware ubiquitous learning and computer simulation: A lesson learned in elementary science education 23

Combining context-Aware ubiquitous learning and computer sim...

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23rd International Conference on computers in Education, ICCE 2015

作者： Kongpet, Kowit Srisawasdi, Niwat Feungchan, Witcha Science Education Program Faculty of Education Khon Kaen University Thailand Division of Science Mathematics and Technology Faculty of Education Khon Kaen University Thailand Department of Computer Engineering Faculty of Engineering Khon Kaen University Thailand

ISBN: (纸本)9784990801472

Context-Aware ubiquitous learning has been recognized as an innovative mobile learning approach that enables students to directly interact with real-world natural phenomena with supports from digital technology. To enhance visualization of the phenomena, computer simulation could be used to simplify the real world using visual representation. These approaches could be used to motivate science-based learning and facilitate inquiry-based learning process in elementary school science. As such, the mobile "Answer Me" application has been created as a cloud-based instructional system to facilitate context-Aware ubiquitous learning in science. In this study, the Answer Me was used to facilitate students' investigation of scientific phenomena of sound. To enhance their comprehension about sound wave, a computer simulation, developed by Physics Education technology research group, was employed to visualize unobservable phenomena of sound. Both technologies were combined to promote science learning experience regarding predict-observe-explain learning process. Moreover, to evaluate its impact on science learning in elementary school, 54 fifth-grade students were recruited to interact with the app and simulation through POE learning activities. They were examined conceptual understanding about sound and science motivation both before and after the intervention. The results showed that students improved their conceptual understanding about sound and the proposed approach had a positive impact on students' science motivation of learning science by the combined learning experience.

关键词： Students

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The effect of pedagogy-embedded digital game in primary science education: A comparison of students' understanding of vitamin 23

The effect of pedagogy-embedded digital game in primary scie...

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23rd International Conference on computers in Education, ICCE 2015

作者： Hiangsa, Marisa Srisawasdi, Niwat Feungchan, Witcha Science Education Program Faculty of Education Khon Kaen University Thailand Division of Science Mathematics and Technology Faculty of Education Khon Kaen University Thailand Department of Computer Engineering Faculty of Engineering Khon Kaen University Thailand

ISBN: (纸本)9784990801472

Recently, effective instructional interventions are needed to enable primary school student to increase conceptual understanding in science. To archive the mentioned, well-designed instructional materials regarding appropriate pedagogy is an important platform for students' learning in primary school science. In this study, an educational digital game regarding fruit and vegetable consumptions, particularly called "The Fruit Eater", has been pedagogically designed concerning problem-based learning strategy and then collaboratively created in android application platform, under the cooperation by computer engineering, science educator, and in-service science teacher at Khon Kaen University, in order to transforming traditional learning environment into constructivist-based learning environment. To investigate the effect of the intervention, a study has been conducted with 104 primary school students, classifying into three different groups, in order to verify the value of the game app. The results showed that the game demonstrated good performance (as compared to regular traditional (problem-based) instruction, and problem-oriented game-based inquiry learning) concerning the gain of conceptual understanding of vitamins, and health benefits of fruits and vegetables, even though the pedagogy-embedded digital game was used independently by students for learning. To this end, this study concluded that the use of pedagogy-embedded digital game could facilitate students' development of scientific understanding as well as teacher-centered instruction, and well-designed digital game regarding appropriate pedagogy might be a key factor associated to this effect in science learning.

关键词： Students

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Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas program

arXiv

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arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

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Optical manipulation of shape-morphing elastomeric liquid crystal microparticles doped with gold nanocrystals

arXiv

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arXiv 2017年

作者： Sun, Yaoran Evans, Julian S. Lee, Taewoo Senyuk, Bohdan Keller, Patrick He, Sailing Smalyukh, Ivan I. Department of Physics Material Science and Engineering Program Department of Electrical Computer & Energy Engineering and Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 United States Centre for Optical and Electromagnetic Research Zhejiang University Hangzhou310058 China Institut Curie Centre de Recherche CNRS UMR 168 Université Pierre et Marie Curie Paris cedex 0575248 France Department of Chemistry and Biochemistry and Liquid Crystal Materials Research Center University of Colorado BoulderCO80309 United States Department of Electromagnetic Engineering Royal Institute of Technology StockholmS-100 44 Sweden Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

We demonstrate facile optical manipulation of shape of birefringent colloidal microparticles made from liquid crystal elastomers. Using soft lithography and polymerization, we fabricate elastomeric microcylinders with weakly undulating director oriented on average along their long axes. These particles are infiltrated with gold nanospheres acting as heat transducers that allow for an efficient localized transfer of heat from a focused infrared laser beam to a submicrometer region within a microparticle. Photothermal control of ordering in the liquid crystal elastomer using scanned beams allows for a robust control of colloidal particles, enabling both reversible and irreversible changes of shape. Possible applications include optomechanics, microfluidics, and reconfigurable colloidal composites with shape-dependent self-assembly. Copyright © 2017, The Authors. All rights reserved.

关键词： Liquid crystals

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Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

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Nature communications 2020年第1期11卷 1715页

作者： Seyedeh M Zekavat Sanni Ruotsalainen Robert E Handsaker Maris Alver Jonathan Bloom Timothy Poterba Cotton Seed Jason Ernst Mark Chaffin Jesse Engreitz Gina M Peloso Ani Manichaikul Chaojie Yang Kathleen A Ryan Mao Fu W Craig Johnson Michael Tsai Matthew Budoff Ramachandran S Vasan L Adrienne Cupples Jerome I Rotter Stephen S Rich Wendy Post Braxton D Mitchell Adolfo Correa Andres Metspalu James G Wilson Veikko Salomaa Manolis Kellis Mark J Daly Benjamin M Neale Steven McCarroll Ida Surakka Tonu Esko Andrea Ganna Samuli Ripatti Sekar Kathiresan Pradeep Natarajan Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA 02142 USA. Yale School of Medicine New Haven CT 06510 USA. Department of Computational Biology & Bioinformatics Yale University New Haven CT 06510 USA. Institute for Molecular Medicine University of Helsinki Helsinki Finland. Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge MA 02142 USA. Department of Genetics Harvard Medical School Boston MA 02115 USA. Department of Biotechnology Institute of Molecular and Cell Biology University of Tartu Tartu Estonia. Estonian Genome Center Tallinn Estonia. Analytic and Translational Genetics Unit Boston MA 02142 USA. Department of Biological Chemistry University of California Los Angeles Los Angeles CA 90095 USA. Department of Biostatistics Boston University School of Public Health Boston MA 02118 USA. Center for Public Health Genomics University of Virginia Charlottesville VA 22904 USA. Program in Personalized and Genomic Medicine Division of Endocrinology Diabetes & Nutrition Department of Medicine University of Maryland School of Medicine Baltimore MD 21201 USA. Department of Biostatistics School of Public Health and Community Medicine University of Washington Seattle WA 98195 USA. Department of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN 55455 USA. Division of Cardiology Harbor-UCLA Medical Center Los Angeles Biomedical Research Institute Los Angeles CA 90509 USA. NHLBI Framingham Heart Study Framingham MA 20892 USA. Sections of Preventive medicine and Epidemiology and cardiovascular medicine Departments of Medicine and Epidemiology Boston university Schools of Medicine and Public health Boston MA 02118 USA. Departments of Pediatrics and Medicine The Institute for Translational Genomics and Population Sciences Los Angeles Biomedical Research Institute Harbor-UCLA Medical Center Torrance CA 90509 USA. Division of Cardiology

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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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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Routing with adaptive flooding in heterogeneous mobile networks

Routing with adaptive flooding in heterogeneous mobile netwo...

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International Communication Systems and Networks and Workshops, COMSNETS

作者： Anand Seetharam Simon Heimlicher Jim Kurose Wei Wei Computer Science and Information Technology Program California State University School of Computer Science University of Massachusetts Amherst USA

In practice, Mobile Ad Hoc Networks (MANETs) must operate efficiently under a wide range of node mobility and link quality regimes. Stateful protocols such as OLSR are suitable for networks connected by stable paths, but are outperformed by stateless flooding in sparse and rapidly changing networks. Neither routing nor flooding alone perform well in heterogeneous networks comprised of both stable and highly dynamic components. Rather than design a new protocol for routing in heterogeneous mobile networks from scratch, we use an approach that leverages prior work by operating nodes individually as routers or flooders and switching mode in response to changing network conditions. We present two greedy algorithms, k-flood and adaptive-flood, that dynamically classify nodes as routers or flooders. Our simulations show that nodes can effectively adapt their individual operation as routers/flooders, achieving performance equivalent to, and in some cases significantly better than, that of network-wide routing or flooding alone.

关键词： Nickel Routing Relays Adaptation models Ad hoc networks Mobile computing

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