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arXiv 2018年

作者： Causey, Jason Zhang, Junyu Ma, Shiqian Jiang, Bo Qualls, Jake Politte, David G. Prior, Fred Zhang, Shuzhong Huang, Xiuzhen Department of Computer Science Arkansas State University JonesboroAR72467 United States Department of Industrial and Systems Engineering University of Minnesota MinneapolisMN55455 United States Department of Systems Engineering and Engineering Management Chinese University of Hong Kong Shatin N.T. Hong Kong Research Center for Management Science and Data Analytics School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai200433 China Mallinckrodt Institute of Radiology Washington University St. LouisMO63110 United States Department of Biomedical Informatics University of Arkansas for Medical Sciences Little RockAR72205 United States UALR/UAMS Joint Graduate Program in Bioinformatics Little RockAR72204 United States

Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It remains challenging for computational approaches to achieve performance comparable to experienced radiologists. Here we present NoduleX, a systematic approach to predict lung nodule malignancy from CT data, based on deep learning convolutional neural networks (CNN). For training and validation, we analyze >1000 lung nodules in images from the LIDC/IDRI cohort. All nodules were identified and classified by four experienced thoracic radiologists who participated in the LIDC project. NoduleX achieves high accuracy for nodule malignancy classification, with an AUC of ~0.99. This is commensurate with the analysis of the dataset by experienced radiologists. Our approach, NoduleX, provides an effective framework for highly accurate nodule malignancy prediction with the model trained on a large patient population. Our results are replicable with software available at http://***/NoduleX. Copyright © 2018, The Authors. All rights reserved.

关键词： Forecasting

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Author Correction: Discrepancy in scientific authority and media visibility of climate change scientists and contrarians

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Nature communications 2019年第1期10卷 3966页

作者： Alexander Michael Petersen Emmanuel M Vincent Anthony LeRoy Westerling Management of Complex Systems Department Ernest and Julio Gallo Management Program School of Engineering University of California Merced CA 95343 USA. apetersen3@ucmerced.edu. Medialab Sciences Po Paris 75007 France. mel.manux@***. Center for Climate Communication University of California Merced CA 95343 USA. mel.manux@***. Management of Complex Systems Department Ernest and Julio Gallo Management Program School of Engineering University of California Merced CA 95343 USA. awesterling@ucmerced.edu. Center for Climate Communication University of California Merced CA 95343 USA. awesterling@ucmerced.edu. Sierra Nevada Research Institute University of California Merced CA 95343 USA. awesterling@ucmerced.edu.

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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Author Correction: Towards symbiotic approaches between universities, sustainable development, and cities

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Scientific reports 2023年第1期13卷 552页

作者： Walter Leal Filho Liliana Caughman Maria Alzira Pimenta Dinis Fernanda Frankenberger Anabela Marisa Azul Amanda Lange Salvia Department of Natural Sciences Manchester Metropolitan University Chester Street Manchester M115GD UK. Research and Transfer Centre "Sustainable Development and Climate Change Management" Hamburg University of Applied Sciences Ulmenliet 20 21033 Hamburg Germany. Postdoctoral Research Scholar Earth Systems Science for the Anthropocene Arizona State University Tempe USA. UFP Energy Environment and Health Research Unit (FP-ENAS) University Fernando Pessoa (UFP) Praça 9 de Abril 349 4249-004 Porto Portugal. Business School PUCPR Pontifical Catholic University of Paraná Rua Imaculada Conceição Curitiba 1155 Brazil. Brazil Business School Universidade Positivo Rua Pedro Viriato Parigot de Souza Curitiba 5300 Brazil. CNC-Center for Neuroscience and Cell Biology University of Coimbra 3004-504 Coimbra Portugal. CIBB-Center for Innovative Biomedicine and Biotechnology University of Coimbra Coimbra Portugal. IIIUC-Institute for Interdisciplinary Research University of Coimbra 3030-789 Coimbra Portugal. Graduate Program in Civil and Environmental Engineering University of Passo Fundo Campus I - BR285 São José Passo Fundo RS 99052-900 Brazil. amandasalvia@***. European School of Sustainability Science and Research Hamburg University of Applied Sciences Ulmenliet 20 21033 Hamburg Germany. amandasalvia@***.

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Entrepreneurial Mindfulness Based on Artificial Intelligence

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Journal of Physics: Conference Series 2020年第1期1641卷

作者： Yasinta Indrianti Sasmoko Nor Fadila Mohd Amin Sucianna Ghadati Rabiha Nugroho Juli Setiadi Agustinus Dedy Handrimurtjahjo Muktiono Waspodo Entrepreneurship Department Podomoro University Jakarta Indonesia 11470 Primary Teacher Education Department Faculty of Humanities Bina Nusantara University Jakarta Indonesia 11480 Department of Technical and Engineering Education School of Education Faculty of Social Sciences and Humanities Universiti Teknologi Malaysia Malaysia Information Systems Department Binus Online Learning Bina Nusantara University Jakarta Indonesia 11480 Management Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480 Center for Research on Education and Culture Policy Ministry of Education and Culture of the Republic of Indonesia Jakarta Indonesia

The ability to self-diagnose to build capacity as an entrepreneur is something that is important in order to bridge the development of self-competence needed in the industrial era 4.0. This ability is expected to bring up a condition in which a person has full active awareness of the awakening of the entrepreneurial spirit within himself to then produce a productive person called Entrepreneurial Mindfulness. This study aims to develop self-detection tools about Entrepreneurial Mindfulness through an artificial intelligence-based website for students and alumni who are entrepreneurs. The research method used is the Neuroresearch method for developing Entrepreneurial Mindfulness measurement tools and the waterfall method for developing Artificial Intelligence-based websites. The results of research in the form of an Artificial Intelligence-based website about Entrepreneurial Mindfulness where the website will be able to provide profiling based on diagnoses made related to the level of Entrepreneurial Mindfulness owned by students and alumni in implementing entrepreneurial practices.

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Vibration-based classification of road damages: gyroscope data and a simple neural network model

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IOP Conference Series: Earth and Environmental Science 2018年第1期195卷

作者： Fergyanto E. Gunawan Herriyandi Benfano Soewito Tuga Mauritsius Nico Surantha Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480

A system for automatic detection of road damages is essential for logistics management. At the core of the system lies an algorithm for classification of damages. This work intends to establish such an algorithm. In the current proposal, the algorithm receives data of the probe vehicle rate of rotations, extracts statistics descriptive from the data to produce a feature vector, and finally, feeds the vector to a simple-three-layer neural network to classify the damages. The types of damages are limited to four cases: normal, pothole, speed bump, and expansion joint. For the development, a probe vehicle is used to produce 400 empirical data involving those four damage cases. By using Monte Carlo approach, the established neural network model is evaluated. The results show that the approach is able to classify the cases with 85% accuracy. The study also finds that the rates of pitch and roll to be the determining factors.

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Nitrogen and phosphorus constrain the CO2 fertilization of global plant biomass (vol 21, pg 561, 2020)

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NATURE CLIMATE CHANGE 2020年第7期10卷 696-697页

作者： Terrer, Cesar Jackson, Robert B. Prentice, I. Colin Keenan, Trevor F. Kaiser, Christina Vicca, Sara Fisher, Joshua B. Reich, Peter B. Stocker, Benjamin D. Hungate, Bruce A. Penuelas, Josep McCallum, Ian Soudzilovskaia, Nadejda A. Cernusak, Lucas A. Talhelm, Alan F. Van Sundert, Kevin Piao, Shilong Newton, Paul C. D. Hovenden, Mark J. Blumenthal, Dana M. Liu, Yi Y. Mueller, Christoph Winter, Klaus Field, Christopher B. Viechtbauer, Wolfgang Van Lissa, Caspar J. Hoosbeek, Marcel R. Watanabe, Makoto Koike, Takayoshi Leshyk, Victor O. Polley, H. Wayne Franklin, Oskar Department of Earth System Science Stanford University Stanford USA Institut de Ciència i Tecnologia Ambientals Universitat Autònoma de Barcelona Barcelona Spain Ecosystems Services and Management Program International Institute for Applied Systems Analysis Laxenburg Austria Woods Institute for the Environment and Precourt Institute for Energy Stanford University Stanford USA AXA Chair Programme in Biosphere and Climate Impacts Department of Life Sciences Imperial College London Silwood Park Campus Ascot UK Department of Biological Sciences Macquarie University North Ryde Australia Department of Earth System Science Tsinghua University Beijing China Department of Environmental Science Policy and Management UC Berkeley Berkeley USA Climate and Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley USA Department of Microbiology and Ecosystem Science Division of Terrestrial Ecosystem Research Faculty of Life Sciences University of Vienna Vienna Austria Evolution and Ecology Program International Institute for Applied Systems Analysis Laxenburg Austria Centre of Excellence PLECO (Plants and Ecosystems) Biology Department University of Antwerp Wilrijk Belgium Jet Propulsion Laboratory California Institute of Technology Pasadena USA Joint Institute for Regional Earth System Science and Engineering University of California at Los Angeles Los Angeles USA Department of Forest Resources University of Minnesota St. Paul USA Hawkesbury Institute for the Environment Western Sydney University Penrith Australia CREAF Cerdanyola del Vallès Spain Center for Ecosystem Science and Society Northern Arizona University Flagstaff USA Department of Biological Sciences Northern Arizona University Flagstaff USA CSIC Global Ecology Unit CREAF-CEAB-UAB Bellaterra Spain Environmental Biology Department Institute of Environmental Sciences Leiden University Leiden the Netherlands College of Marine and Environmental Sciences James Cook University Cairns

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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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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An effect of tsunami to hotel occupancy: A case of Phuket, Thailand

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IOP Conference Series: Earth and Environmental Science 2019年第1期273卷

作者： J Tang N Leelawat A Suppasri F Imamura School of Management Technoogy Sirindhorn International Institute of Technology Thammasat University 131 Moo 5 Tiwanont Road Bangkadi Pathum Thani 12000 Thailand Department of Industrial Engineering Faculty of Engineering Chulalongkorn University Phayathai Road Pathumwan Bangkok 10330 Thailand Disaster and Risk Management Information Systems Research Group Chulalongkorn University Phayathai Road Pathumwan Bangkok 10330 Thailand Risk and Disaster Management Program Graduate School Chulalongkorn University Phayathai Road Pathumwan Bangkok 10330 Thailand International Research Institute of Disaster Science Tohoku University 468-1 Aramaki-Aza Aoba Aoba-ku Sendai 980-0845 Japan

As a popular city for global tourists, more than one third of the Phuket GPP depends on the hotel and restaurant sector. The 2004 Indian Ocean Tsunami caused a serious physical damage to hotels and a high cancellation of bookings in the post disaster period, which, in turn, led to most THB 3 billion drop of the hotel and restaurant sector income in 2005 in Phuket. In addition, many tourism facilities in Phuket suffered bankruptcy or a slump, because they started their business again immediately after the reconstruction phase, while tourists did not really come back. This paper is an initiative study of our research project to evaluate the effects of the 2004 Indian Ocean Tsunami on Hotel Occupancy, with a focus on the speed for the physical reconstruction and tourism market recovery. We collected the physical reconstruction period and the hotel occupancy recovery data of six hotels that located in the Patong Beach of Phuket from 2003 to 2017. Through calculation, the average of damage rate (i.e., unavailability of the rooms in this study) is 55.89%, with an average speed for the physical reconstruction to rebuild the rooms about 6.07% of the overall rooms per month. The quotient of these two values indicates that the reconstruction period is around 9.2 months. However, the average period for reconstruction and tourism recovery is about 20 months. There is an about 11 months' delay between that hotel and resorts have finished the reconstruction and the tourists start to visit Phuket as usual. Therefore, the local government, local tourist authority, and hotel entrepreneurs can consider these findings in order to prepare the recovery plan for tourism industry in the future tsunami.

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Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

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The Lancet 2023年第10397期402卷 203-234页

作者： Ong, Kanyin Liane Stafford, Lauryn K. McLaughlin, Susan A. Boyko, Edward J. Vollset, Stein Emil Smith, Amanda E. Dalton, Bronte E. Duprey, Joe Cruz, Jessica A. Hagins, Hailey Lindstedt, Paulina A. Aali, Amirali Abate, Yohannes Habtegiorgis Abate, Melsew Dagne Abbasian, Mohammadreza Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Mohsen ElHafeez, Samar Abd Abd-Rabu, Rami Abdulah, Deldar Morad Abdullah, Abu Yousuf Md Abedi, Vida Abidi, Hassan Aboagye, Richard Gyan Abolhassani, Hassan Abu-Gharbieh, Eman Abu-Zaid, Ahmed Adane, Tigist Demssew Adane, Denberu Eshetie Addo, Isaac Yeboah Adegboye, Oyelola A. Adekanmbi, Victor Adepoju, Abiola Victor Adnani, Qorinah Estiningtyas Sakilah Afolabi, Rotimi Felix Agarwal, Gina Aghdam, Zahra Babaei Agudelo-Botero, Marcela Arriagada, Constanza Elizabeth Aguilera Agyemang-Duah, Williams Ahinkorah, Bright Opoku Ahmad, Danish Ahmad, Rizwan Ahmad, Sajjad Ahmad, Aqeel Ahmadi, Ali Ahmadi, Keivan Ahmed, Ali Ahmed, Luai A. Ahmed, Syed Anees Ajami, Marjan Akinyemi, Rufus Olusola Al Hamad, Hanadi Al Hasan, Syed Mahfuz AL-Ahdal, Tareq Mohammed Ali Alalwan, Tariq A. Al-Aly, Ziyad AlBataineh, Mohammad T. Alcalde-Rabanal, Jacqueline Elizabeth Alemi, Sharifullah Ali, Hassam Alinia, Tahereh Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Amare, Firehiwot Ameyaw, Edward Kwabena Amiri, Sohrab Amusa, Ganiyu Adeniyi Andrei, Catalina Liliana Anjana, Ranjit Mohan Ansar, Adnan Ansari, Golnoosh Ansari-Moghaddam, Alireza Anyasodor, Anayochukwu Edward Arabloo, Jalal Aravkin, Aleksandr Y. Areda, Demelash Arifin, Hidayat Arkew, Mesay Armocida, Benedetta Arnlov, Johan Artamonov, Anton A. Arulappan, Judie Aruleba, Raphael Taiwo Arumugam, Ashokan Aryan, Zahra Asemu, Mulu Tiruneh Asghari-Jafarabadi, Mohammad Askari, Elaheh Asmelash, Daniel Astell-Burt, Thomas Athar, Mohammad Athari, Seyyed Shamsadin Atout, Maha Moh'd Wahbi Avila-Burgos, Leticia Awaisu, Ahmed Azadnajafabad, Sina Darshan, B.B. Babamohamadi, Hassan Badar, Muhammad Badawi, Alaa Badiye, Ashish D. Baghcheghi, Nayereh Baghe Institute for Health Metrics and Evaluation School of Medicine General Medicine Service Department of Veterans Affairs Seattle WA United States Department of Health Metrics Sciences School of Medicine Faculty of Medicine France Department of Clinical Governance and Quality Improvement Aleta Wondo Hospital Aleta Wondo Ethiopia Department of Nursing Woldia University Woldia Ethiopia Department of Nursing Department of Orthopedic Surgery Orthopaedic Surgery Social Determinants of Health Research Center Non-communicable Diseases Research Center Epidemiology Department Evidence-Based Practice Center Community and Maternity Nursing Unit University of Duhok Duhok Iraq School of Planning Faculty of Environment Department of Public Health Sciences Penn State College of Medicine Pennsylvania State University Hershey PA United States Biocomplexity Institute Virginia Tech Blacksburg VA United States College of Medicine Department of Public Health Laboratory Technology Sciences Department Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Research Center for Immunodeficiencies Department of Biosciences and Nutrition Karolinska University Hospital Huddinge Sweden Clinical Sciences Department Department of Surgery Department of Surgery Department of Obstetrics & Gynecology College of Graduate Health Sciences University of Tennessee Memphis TN United States Department of Obstetrics & Gynecology Department of Clinical and Psychosocial Epidemiology Department of Anesthesia and Critical Care Centre for Social Research in Health Quality and Systems Performance Unit Cancer Institute NSW Sydney NSW Australia Department of Public Health and Tropical Medicine HIV and Infectious Diseases Department Jhpiego Abuja Nigeria Adolescent Research and Care Department Adolescent Friendly Research Initiative and Care Ado Ekiti Nigeria Department of Epidemiology Department of Epidemiology and Medical Statistics Department of Family Medicine McMaster University

Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined;these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs;defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims;type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative r

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Publisher Correction: Landscape-scale benefits of protected areas for tropical biodiversity

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Nature 2024年第7996期625卷 E28页

作者： Jedediah F Brodie Jayasilan Mohd-Azlan Cheng Chen Oliver R Wearn Mairin C M Deith James G C Ball Eleanor M Slade David F R P Burslem Shu Woan Teoh Peter J Williams An Nguyen Jonathan H Moore Scott J Goetz Patrick Burns Patrick Jantz Christopher R Hakkenberg Zaneta M Kaszta Sam Cushman David Coomes Olga E Helmy Glen Reynolds Jon Paul Rodríguez Walter Jetz Matthew Scott Luskin Division of Biological Sciences University of Montana Missoula MT USA. jedediah.brodie@umontana.edu. Wildlife Biology Program University of Montana Missoula MT USA. jedediah.brodie@umontana.edu. Institute of Biodiversity and Environmental Conservation Universiti Malaysia Sarawak Kota Samarahan Malaysia. jedediah.brodie@umontana.edu. Institute of Biodiversity and Environmental Conservation Universiti Malaysia Sarawak Kota Samarahan Malaysia. Department of Forest Resources Management University of British Columbia Vancouver British Columbia Canada. Biodiversity Research Centre University of British Columbia Vancouver British Columbia Canada. Fauna and Flora International-Vietnam Programme Hanoi Vietnam. Institute for the Oceans and Fisheries University of British Columbia Vancouver British Columbia Canada. Department of Plant Sciences and Conservation Research Institute University of Cambridge Cambridge UK. Asian School of the Environment Nanyang Technological University Singapore Singapore. School of Biological Sciences University of Aberdeen Aberdeen UK. Wildlife Biology Program University of Montana Missoula MT USA. Division of Biological Sciences University of Montana Missoula MT USA. Leibniz Institute for Zoo and Wildlife Research Berlin Germany. School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China. School of Environmental Sciences University of East Anglia Norwich UK. School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff AZ USA. Department of Biological Sciences Northern Arizona University Flagstaff AZ USA. Wildlife Conservation Research Unit Department of Biology University of Oxford Oxford UK. School of Forestry Northern Arizona University Flagstaff AZ USA. Aldo Leopold Wilderness Research Institute United States Department of Agriculture Forest Service Rocky Mountain Research Station Missoula MT USA. The South East Asia Rainforest Research Partn

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