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20th Pacific Asia Conference on Information systems, PACIS 2016

作者： Lee, Hwansoo Wong, Siew Fan Chang, Younghoon Interdisciplinary Graduate Program in IT Law Dankook University Korea Republic of Department of Computing and Information Systems Sunway University Malaysia Division of Business and Management BNU-HKBU United International College China

ISBN: (纸本)9789860491029

Existing studies on information privacy have largely discussed behavioral determinants of information privacy concerns (IPC). There has been a lack of direct examination on the relationship between demographic characteristics of consumers and IPC. The few studies that did report the linkage produced inconsistent findings. In this study, we aimed to investigate the relationship between consumers' demographic characteristics and IPC with data from a large sample of 9,840 respondents provided by the Korea Information Society Development Institute (KISDI). The results demonstrated that educational attainment and income level exerted effects on IPC in line with existing studies. But the effects of gender and age are different from those identified in existing studies. This study is significant in that by confirming the results of previous studies, it enables generalization of empirical findings. Meanwhile, the results that contrasted previous findings facilitate the discovery of new research topics and discussion.

关键词： Data mining

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Abstracts

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JOURNAL OF SPINAL CORD MEDICINE 2021年第SUPPL 1期44卷 S278-S324页

作者： [Anonymous] Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto Toronto ON CA KITE - Toronto Rehabilitation Institute University Health Network Toronto ON CA Institute for Health Policy Management and Evaluation University of Toronto Toronto ON CA Rehabilitation Sciences Institute University of Toronto Toronto ON CA Institute of Medical Sciences University of Toronto Toronto ON CA. Rehabilitation Sciences Institute University of Toronto ON CA KITE Research Institute-Toronto Rehab-University Health Network Toronto ON CA Physical Therapy Department University of Toronto ON CA Praxis Spinal Cord Institute Vancouver BC Université de Montréal (École de réadaptation) Montreal QC CA Institut de réadaptation Gingras-Linsay-de-Montréal Montreal QC CA Division of Physical Medicine & Rehabilitation Department of Medicine Faculty of Medicine & Dentistry University of Alberta Edmonton AB CA University of Calgary Calgary AB CA Alberta Health Services Centre for Family Medicine Kitchener ON CA McMaster University Department of Family Medicine Hamilton ON CA Dept. of Physical Therapy University of Toronto Toronto ON CA KITE-University Health Network Toronto ON CA Praxis Spinal Cord Institute Vancouver BC CA Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) Quebec City QC CA Dept. of Rehabilitation Laval University Quebec City QC CA Institute of Health Policy Management and Evaluation University of Toronto Toronto ON CA School of Rehabilitation Science University of Saskatchewan Saskatoon SK CA Ontario Neurotrauma Foundation Toronto ON CA Canadian Spinal Research Organization Toronto ON CA CIUSSS du Centre-Sud-de-l ‘Île-de-Montréal (Installation Gingras-Lindsay) Montréal QC CA École de réadaptation Université de Montréal Montréal QC CA First Steps Wellness Centre Regina SK CA Stan Cassidy Centre for Rehabilitation Horizon Health Network Fredericton NB CA Departmen

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Spatial-Temporal pattern analysis and prediction of air quality in Taiwan

Spatial-Temporal pattern analysis and prediction of air qual...

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IEEE International Conference on Ubi-Media computing

作者： Ping-Wei Soh Kai-Hsiang Chen Jen-Wei Huang Hone-Jay Chu Institute of Computer and Communication Engineering National Cheng Kung University Tainan Taiwan PhD Program for Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Tainan Taiwan Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Department of Geomatics National Cheng Kung University Tainan Taiwan

This study explores the spatial-temporal patterns of particulate matter (PM) in Taiwan. Probability map of PM and daily patterns are discussed in this study. Data mining provides more detailed spatial-temporal information for PM variations and trends. The proposed model will show that data mining provides a relatively high goodness of fit and sufficient space-time explanatory power, particularly air pollution frequency and affect areas. In the proposed model, a method using Dynamic Time Warping is proposed to analyse temporal similarity between stations. The proposed model can eliminate global effect on a single station through the performance of multiple stations. The proposed model will further be used for prediction of PM2.5. The prediction results will discuss the spatial-temporal relations between stations. This study will investigate the distribution of PM and its cyclicality.

关键词： Predictive models Time series analysis Atmospheric modeling Air pollution Conferences Data mining

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STATE OF THE CLIMATE IN 2021

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BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 2022年第8期103卷 S1-S1页

作者： Blunden, Jessica NOAA/NESDIS National Centers for Environmental Information Asheville NC United States NOAA NESDIS National Centers for Environmental Information Silver Spring MD United States Met Office Hadley Centre Exeter United Kingdom Cooperative Institute for Satellite Earth System Studies North Carolina State University Asheville NC United States Communications and Outreach NOAA/NESDIS National Centers for Environmental Information Asheville NC United States Innovative Consulting and Management Services LLC NOAA/NESDIS National Centers for Environmental Information Asheville NC United States European Centre for Medium-Range Weather Forecasts Reading United Kingdom CMNS-Earth System Science Interdisciplinary Center University of Maryland College Park MD United States Department of Meteorology National Centre for Earth Observation University of Reading Reading United Kingdom Department of Atmospheric and Planetary Science Hampton University Hampton VA United States National Research Institute for Agriculture Food and Environment (INRAE) CARRTEL Université Savoie Mont Blanc Thonon les Bains France Graduate School of Life and Environmental Sciences Osaka Prefecture University Osaka Sakai Japan University of Bremen Bremen Germany NOAA Global Monitoring Laboratory Boulder CO United States Centro de Investigaciones sobre Desertificación Spanish National Research Council (CIDE CSIC-UV-Generalitat Valenciana) Climate Atmosphere and Ocean Laboratory (Climatoc-Lab) Moncada Valencia Spain Instituto de Geografía Pontificia Universidad Católica de Valparaíso Valparaíso Chile Climatic Research Unit School of Environmental Sciences University of East Anglia Norwich United Kingdom Joint Research Centre of the European Commission Ispra Italy GloH2O Almere Netherlands University of Reading Reading United Kingdom School of Engineering Newcastle University Newcastle-upon-Tyne United Kingdom Université de Paris Cité Institut de physique du globe de Paris CNRS IGN Paris

Editors note: For easy download the posted pdf of the State of the Climate in 2021 is a low-resolution file. A high-resolution copy of the report is available by clickinghere. Please be patient as it may take a few mi... 详细信息

关键词： Greenhouse gases

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The evolutionary history of 2,658 cancers (vol 578, pg 122, 2020)

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NATURE 2023年第7948期614卷 E42-E42页

作者： Gerstung, Moritz Jolly, Clemency Leshchiner, Ignaty Dentro, Stefan C. Gonzalez, Santiago Rosebrock, Daniel Mitchell, Thomas J. Rubanova, Yulia Anur, Pavana Yu, Kaixian Tarabichi, Maxime Deshwar, Amit Wintersinger, Jeff Kleinheinz, Kortine Vazquez-Garcia, Ignacio Haase, Kerstin Jerman, Lara Sengupta, Subhajit Macintyre, Geoff Malikic, Salem Donmez, Nilgun Livitz, Dimitri G. Cmero, Marek Demeulemeester, Jonas Schumacher, Steven Fan, Yu Yao, Xiaotong Lee, Juhee Schlesner, Matthias Boutros, Paul C. Bowtell, David D. Zhu, Hongtu Getz, Gad Imielinski, Marcin Beroukhim, Rameen Sahinalp, S. Cenk Ji, Yuan Peifer, Martin Markowetz, Florian Mustonen, Ville Yuan, Ke Wang, Wenyi Morris, Quaid D. Spellman, Paul T. Wedge, David C. Van Loo, Peter European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Wellcome Sanger Institute Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany University of Ljubljana Ljubljana Slovenia The Francis Crick Institute London UK Big Data Institute University of Oxford Oxford UK Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Big Data Institute Li Ka Shing Centre University of Oxford Oxford UK University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Department of Applied Mathematics and Theoretical Physics Centre for Mathematical Sciences University of Cambridge Cambridge UK Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA Department of Statistics Columbia University New York NY USA Department of Haematology University of Cambridge Cambridge UK University of Leuven Leuven Belgium Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Charlestown MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Dana-Farber Cancer Institute Boston MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Oxford NIHR Biomedical Research Centre Oxford UK Oxford NIHR Biomedical Research Centre University of Oxford Oxford UK University of Toronto Toronto Ontario Canada Vector Institute Toronto Ontario Canada Vector Institute Toronto ON Canada Department of Computer Science University of Toronto Toronto ON Canada Ontario Institute for Cancer Research Toronto Ontario Canada University of California Los Angeles

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Mobile application to support dyslexia diagnostic and reading practice 13

Mobile application to support dyslexia diagnostic and readin...

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13th IEEE/ACS International Conference of Computer systems and Applications, AICCSA 2016

作者： Martins, Valeria Farinazzo Lima, Thiago Sampaio, Paulo N. M. De Paiva, Marcelo Laboratório de Usabilidade Faculdade de Computação e Informática Universidade Presbiteriana Mackenzie São Paulo Brazil Graduate Program in Computing and Systems Universidade Salvador - UNIFACS Salvador Brazil Guimarães Open University of Brazil-UNIFESP Faccamp's Master Program São Paulo Brazil

ISBN: (纸本)9781509043200

The treatment of the Dyslexia Disorder requires patients to be disciplined and have a lot of reading practice so that they can reach a level of fluency and accuracy similar to people not diagnosed with this disorder. Due to cost or availability of health professionals, patients are not able, in general, to follow the treatment accordingly keeping a constant attendance. Besides, nowadays there are not many available tools to support health professionals towards dyslexia diagnosis. This paper presents an application developed for mobile devices, through which dyslexic users can practice their reading skills, turning the treatment accessible as well as helping health professionals as an auxiliary tool to diagnose their patients. This tool can be applied to support dyslexia diagnosis and to help people already diagnosed with this disorder training reading. To validate the use of this tool, the application was tested with some students of a private school in the city of São Paulo (Brazil). The results regarding usability aspects and the tool accuracy are also discussed. © 2016 IEEE.

关键词： Diagnosis

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Publisher Correction: Large-scale metabolic interaction network of the mouse and human gut microbiota

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Scientific data 2020年第1期7卷 272页

作者： Roktaek Lim Josephine Jill T Cabatbat Thomas L P Martin Haneul Kim Seunghyeon Kim Jaeyun Sung Cheol-Min Ghim Pan-Jun Kim Department of Biology Hong Kong Baptist University Kowloon Hong Kong. School of Life Sciences Ulsan National Institute of Science and Technology Ulsan 44919 Republic of Korea. Analytics computing and complex Systems Laboratory Asian Institute of Management Makati 1229 Metro Manila Philippines. Department of Physics Ulsan National Institute of Science and Technology Ulsan 44919 Republic of Korea. Department of Physics Pohang University of Science and Technology Pohang Gyeongbuk 37673 Republic of Korea. Samsung SDS Seoul 05510 Republic of Korea. Microbiome Program Center for Individualized Medicine Mayo Clinic Rochester MN 55905 USA. Division of Surgical Research Department of Surgery Mayo Clinic Rochester MN 55905 USA. Division of Rheumatology Department of Internal Medicine Mayo Clinic Rochester MN 55905 USA. Department of Molecular Pharmacology and Experimental Therapeutics Mayo Clinic Rochester MN 55905 USA. Department of Biology Hong Kong Baptist University Kowloon Hong Kong. panjunkim@hkbu.edu.hk. Center for Quantitative Systems Biology Hong Kong Baptist University Kowloon Hong Kong. panjunkim@hkbu.edu.hk. Institute of computational and Theoretical Studies Hong Kong Baptist University Kowloon Hong Kong. panjunkim@hkbu.edu.hk. Abdus Salam International Centre for Theoretical Physics 34151 Trieste Italy. panjunkim@hkbu.edu.hk.

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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Optimization of grounding grid's multidesign geometry 16

Optimization of grounding grid's multidesign geometry

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16th International Conference on Environment and Electrical Engineering, EEEIC 2016

作者： Silva, Carlos L. B. Oliveira, Diogo N. Pires, Thyago G. Nerys, Jose W. L. Barbosa, Paulo H. S. Calixto, Wesley P. Alves, Aylton J. Graduate Program in Electronic and Automation Systems Engineering University of Brasilia Brasilia Brazil School of Electric and Computing Engineering Federal University of Goias Goiania Brazil Experimental Technologic Research and Study Group Federal Institute of Education Science and Technology Goiania Brazil

ISBN: (纸本)9781509023196

This paper deals with the optimization of grounding grids geometry. The goal is to reduce the amount of material to deploy a grounding grid, while keeping the system security. The touch voltages, step voltages, GPR and ground resistance are parameters of grounding grids and are related to safety aspect. Also discussed is a genetic algorithm used for optimizing ground grids, which can assume any form in a limited space of the project. The simulation is based in images method. The results are presented and discussed. © 2016 IEEE.

关键词： Ground penetrating radar systems

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Computation of resistance and potential of grounding grids in any geometry 16

Computation of resistance and potential of grounding grids i...

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16th International Conference on Environment and Electrical Engineering, EEEIC 2016

作者： Pires, Thyago G. Nerys, Jose W. L. Silva, Carlos L. B. Oliveira, Diogo N. Filho, Antonio M. Silva Calixto, Wesley P. Alves, Aylton J. School of Electric and Computing Engineering Federal University of Goias Goiania Brazil Graduate Program in Electronic and Automation Systems Engineering University of Brasilia Brasilia Brazil Experimental and Technologic Research and Study Group Federal Institute of Education Science and Technology Goiania Brazil

ISBN: (纸本)9781509023196

This paper deals with the computation of ground resistance, surface voltage, touch voltage and step voltage, to mesh with horizontal wires arranged in different angles. The computer program implemented used in the mathematical modeling is based on the method proposed by Heppe, which allows obtaining the grounding parameters for homogeneous soil and soil stratified in two layers. The results obtained with the proposed method will be compared with other methods in literature. Also will be presented the results of a grounding grid using wires at various angles. © 2016 IEEE.

关键词： Mesh generation

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Ontology for concepts's integration of corporate sustainability index (ISE) and G4 guidelines of global reporting initiative 14

Ontology for concepts's integration of corporate sustainabil...

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14th International Conference WWW/Internet 2015

作者： Reis, Tâmara Batista Da Silva, Paulo Caetano Program in Systems and Computing Salvador University Brazil

ISBN: (纸本)9789898533449

The sustainable development for the economic and global-environmental balance has required organizations to manage, control and report sustainability data. To do so, a diversity of indices was proposed, which has caused low interoperability among information systems and also difficulty the exchange of information and experiences among organizations which adopt different methodologies for sustainability data representation and manipulation. This work presents domain ontology for the representation of a common knowledge base between the Corporate Sustainability Index (ISE), one of the most used sustainability index in Brazil, and G4 Guidelines of the Global Reporting Initiative, adopted internationally. The development of the existing semantic structure between these two indexes can provide the availability of information in a fast and consistent way, independent of methodologies or computational difficulties faced by stakeholders using heterogeneous software. © 2015.

关键词： Sustainable development

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