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arXiv 2020年

作者： Petropoulos, Fotios Apiletti, Daniele Assimakopoulos, Vassilios Babai, Mohamed Zied Barrow, Devon K. Taieb, Souhaib Ben Bergmeir, Christoph Bessa, Ricardo J. Bijak, Jakub Boylan, John E. Browell, Jethro Carnevale, Claudio Castle, Jennifer L. Cirillo, Pasquale Clements, Michael P. Cordeiro, Clara Oliveira, Fernando Luiz Cyrino de Baets, Shari Dokumentov, Alexander Ellison, Joanne Fiszeder, Piotr Franses, Philip Hans Frazier, David T. Gilliland, Michael Gönül, M. Sinan Goodwin, Paul Grossi, Luigi Grushka-Cockayne, Yael Guidolin, Mariangela Guidolin, Massimo Gunter, Ulrich Guo, Xiaojia Guseo, Renato Harvey, Nigel Hendry, David F. Hollyman, Ross Januschowski, Tim Jeon, Jooyoung Jose, Victor Richmond R. Kang, Yanfei Koehler, Anne B. Kolassa, Stephan Kourentzes, Nikolaos Leva, Sonia Li, Feng Litsiou, Konstantia Makridakis, Spyros Martin, Gael M. Martinez, Andrew B. Meeran, Sheik Modis, Theodore Nikolopoulos, Konstantinos Önkal, Dilek Paccagnini, Alessia Panagiotelis, Anastasios Panapakidis, Ioannis Pavía, Jose M. Pedio, Manuela Pedregal, Diego J. Pinson, Pierre Ramos, Patrícia Rapach, David E. Reade, J. James Rostami-Tabar, Bahman Rubaszek, Michal Sermpinis, Georgios Shang, Han Lin Spiliotis, Evangelos Syntetos, Aris A. Talagala, Priyanga Dilini Talagala, Thiyanga S. Tashman, Len Thomakos, Dimitrios Thorarinsdottir, Thordis Todini, Ezio Arenas, Juan Ramón Trapero Wang, Xiaoqian Winkler, Robert L. Yusupova, Alisa Ziel, Florian School of Management University of Bath United Kingdom Politecnico di Torino Turin Italy Forecasting and Strategy Unit School of Electrical and Computer Engineering National Technical University of Athens Greece Kedge Business School France Department of Management Birmingham Business School University of Birmingham United Kingdom Belgium Faculty of Information Technology Monash University Melbourne Australia INESC TEC – Institute for Systems and Computer Engineering Technology and Science Porto Portugal Department of Social Statistics and Demography University of Southampton United Kingdom Centre for Marketing Analytics and Forecasting Lancaster University Management School Lancaster University United Kingdom School of Mathematics and Statistics University of Glasgow United Kingdom Department of Mechanical and Industrial Engineering University of Brescia Italy Magdalen College University of Oxford United Kingdom ZHAW School of Management and Law Zurich University of Applied Sciences Switzerland ICMA Centre Henley Business School University of Reading United Kingdom Faculdade de Ciências e Tecnologia Universidade do Algarve Portugal CEAUL Faculdade de Ciências Universidade de Lisboa Portugal Brazil Department of Business Informatics and Operations Management Faculty of Economics and Business Administration Universiteit Gent Belgium Let’s Forecast Australia Faculty of Economic Sciences and Management Nicolaus Copernicus University in Torun Poland Econometric Institute Erasmus School of Economics Rotterdam Netherlands Department of Econometrics and Business Statistics Monash University Melbourne Australia SAS United States Newcastle Business School Northumbria University Newcastle upon Tyne United Kingdom Department of Statistical Sciences University of Padua Italy Darden School of Business University of Virginia United States Finance Department Bocconi University Baffi-CAREFIN Centre Milan Italy Department of Tourism and Service Management MODUL Un

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks an... 详细信息

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Author Correction: Direct measurement of superdiffusive energy transport in disordered granular chains

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Nature communications 2018年第1期9卷 3018页

作者： Eunho Kim Alejandro J Martínez Sean E Phenisee P G Kevrekidis Mason A Porter Jinkyu Yang Department of Aeronautics and Astronautics University of Washington Seattle WA 98195-2400 USA. Division of Mechanical System Engineering & Automotive Hi-Technology Research Center Chonbuk National University 567 Baekje-daero Deokjin-gu Jeonju-si Jeollabuk-do 54896 Republic of Korea. Oxford Centre for Industrial and Applied Mathematics Mathematical Institute University of Oxford Oxford OX2 6GG UK. Department of Mathematics and Statistics University of Massachusetts Amherst 01003-4515 MA USA. Oxford Centre for Industrial and Applied Mathematics Mathematical Institute University of Oxford Oxford OX2 6GG UK. mason@math.ucla.edu. Department of Mathematics University of California Los Angeles 90095 CA USA. mason@math.ucla.edu. CABDyN Complexity Centre University of Oxford Oxford OX1 1HP UK. mason@math.ucla.edu.

The original version of this Article contained an error in second sentence of the Acknowledgements, which incorrectly read 'J.Y. and P.G.K. also acknowledge support from US-ARO (W911NF-15-1-0604) and US-AFOSR (FA9...

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Corrigendum to “Thermal Transport in Radiative Nanofluids by Considering the Influence of Convective Heat Condition”

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Journal of Nanomaterials 2023年第1期2023卷

作者： Adnan Waqas Ashraf Abdulaziz H. Alghtani Ilyas Khan M. Andualem Department of Mathematics Mohi-ud-Din Islamic University Nerian Sharif AJ&K 12080 Pakistanmiu.edu.pk Department of Applied Mathematics and Statistics (AM&S) Institute of Space Technology (IST) Islamabad 44000 Pakistanist.edu.pk Mechanical Engineering Department at Taif University P.O. Box 11099 Taif 21944 Saudi Arabiatu.edu.sa Department of Mathematics College of Science Al-Zulfi Majmaah University Al-Majmaah 11952 Saudi Arabiamu.edu.sa Department of Mathematics Bonga University Bonga Ethiopiabongau.edu.et

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Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

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The Lancet 2020年第10258期396卷 1160-1203页

作者： Abbafati, C. Machado, D.B. Cislaghi, B. Salman, O.M. Karanikolos, M. McKee, M. Abbas, K.M. Brady, O.J. Larson, H.J. Trias-Llimós, S. Cummins, S. Langan, S.M. Sartorius, B. Hafiz, A. Jenabi, E. Mohammad Gholi Mezerji, N. Borzouei, S. Azarian, G. Khazaei, S. Abbasi, M. Asghari, B. Masoumi, S. Komaki, H. Taherkhani, A. Adabi, M. Abbasifard, M. Bazmandegan, G. Kamiab, Z. Vakilian, A. Anjomshoa, M. Mokari, A. Sabour, S. Shahbaz, M. Saeedi, R. Ahmadieh, H. Yousefinezhadi, T. Haj-Mirzaian, A. Nikbakhsh, R. Safi, S. Asgari, S. Irvani, S.N. Jahanmehr, N. Ramezanzadeh, K. Abbasi-Kangevari, M. Khayamzadeh, M. Abbastabar, H. Shirkoohi, R. Fazlzadeh, M. Janjani, H. Hosseini, M. Mansournia, M. Tohidinik, H. Bakhtiari, A. Fazaeli, A. Mousavi, S. Hasanzadeh, A. Nabavizadeh, B. Malekzadeh, R. Hashemian, M. Pourshams, A. Salimzadeh, H. Sepanlou, S.G. Afarideh, M. Esteghamati, A. Esteghamati, S. Ghajar, A. Heidari, B. Rezaei, N. Mohamadi, E. Rahimi-Movaghar, A. Rahim, F. Eskandarieh, S. Sahraian, M. Mohebi, F. Aminorroaya, A. Ebrahimi, H. Farzadfar, F. Mohajer, B. Pishgar, F. Saeedi Moghaddam, S. Shabani, M. Zarafshan, H. Abolhassani, H. Hafezi-Nejad, N. Heidari-Soureshjani, R. Abdollahi, M. Farahmand, M. Salamati, P. Mehrabi Nasab, E. Tajdini, M. Aghamir, S. Mirzaei, R. Dibaji Forooshani, Z. Khater, M.M. Abd-Allah, F. Abdelalim, A. Abualhasan, A. El-Jaafary, S.I. Hassan, A. Elsharkawy, A. Khater, A.M. Elhabashy, H.R. Salem, M.R.R. Salem, H. Sadeghi, M. Jafarinia, M. Amini-Rarani, M. Mohammadifard, N. Sarrafzadegan, N. Abdollahpour, I. Sarveazad, A. Tehrani-Banihashemi, A. Yoosefi Lebni, J. Manafi, N. Pazoki Toroudi, H. Dorostkar, F. Alipour, V. Sheikhtaheri, A. Arabloo, J. Azari, S. Ghashghaee, A. Rezapour, A. Naserbakht, M. Kabir, A. Mehri, F. Yousefifard, M. Asadi-Aliabadi, M. Babaee, E. Eshrati, B. Goharinezhad, S. Moradi-Lakeh, M. Abedi, P. Rashedi, V. Kumar, V. Elgendy, I.Y. Basu, S. Park, J. Pereira, A. Norheim, O.F. Eagan, A.W. Cahill, L.E. Sheikh, A. Abushouk, A.I. Kraemer, M.U.G. Thakur, B. Bärnighausen, T.W. Shrime, M.G. Department of Juridical and Economic Studies La Sapienza University Rome Italy Centre for Global Mental Health (CGMH) London School of Hygiene & Tropical Medicine London United Kingdom Department of Global Health and Development London School of Hygiene & Tropical Medicine London United Kingdom Department of Health Services Research and Policy London School of Hygiene & Tropical Medicine London United Kingdom Department of Infectious Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom Department of Non-communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London United Kingdom European Observatory on Health Systems and Policies London School of Hygiene & Tropical Medicine London United Kingdom Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London United Kingdom Faculty of Infectious and Tropical Diseases London School of Hygiene & Tropical Medicine London United Kingdom MSc Epidemiology Programme London School of Hygiene & Tropical Medicine London United Kingdom Autism Spectrum Disorders Research Center Hamadan Iran Department of Biostatistics Hamadan Iran Department of Endocrinology Hamadan Iran Department of Environmental Health Engineering Hamadan Iran Department of Epidemiology Hamadan Iran Department of Internal Medicine Hamadan Iran Department of Microbiology Hamadan Iran Department of Midwifery Hamadan Iran Neurophysiology Research Center Hamadan Iran Research Center for Molecular Medicine Hamadan Iran Hamadan University of Medical Sciences Hamadan Iran Clinical Research Development Unit Rafsanjan University of Medical Sciences Rafsanjan Iran Department of Internal Medicine Rafsanjan University of Medical Sciences Rafsanjan Iran Department of Neurology Rafsanjan University of Medical Sciences Rafsanjan Iran Department of

Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Dis...

Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bay

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Five insights from the Global Burden of Disease Study 2019

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The Lancet 2020年第10258期396卷 1135-1159页

作者： Abbafati, C. Machado, D.B. Cislaghi, B. Salman, O.M. Karanikolos, M. McKee, M. Abbas, K.M. Brady, O.J. Larson, H.J. Trias-Llimós, S. Cummins, S. Langan, S.M. Sartorius, B. Hafiz, A. Jenabi, E. Mohammad Gholi Mezerji, N. Borzouei, S. Azarian, G. Khazaei, S. Abbasi, M. Asghari, B. Masoumi, S. Komaki, H. Taherkhani, A. Adabi, M. Abbasifard, M. Bazmandegan, G. Kamiab, Z. Vakilian, A. Anjomshoa, M. Mokari, A. Sabour, S. Shahbaz, M. Saeedi, R. Ahmadieh, H. Yousefinezhadi, T. Haj-Mirzaian, A. Nikbakhsh, R. Safi, S. Asgari, S. Irvani, S.N. Jahanmehr, N. Ramezanzadeh, K. Abbasi-Kangevari, M. Khayamzadeh, M. Abbastabar, H. Shirkoohi, R. Fazlzadeh, M. Janjani, H. Hosseini, M. Mansournia, M. Tohidinik, H. Bakhtiari, A. Fazaeli, A. Mousavi, S. Hasanzadeh, A. Nabavizadeh, B. Malekzadeh, R. Hashemian, M. Pourshams, A. Salimzadeh, H. Sepanlou, S.G. Afarideh, M. Esteghamati, A. Esteghamati, S. Ghajar, A. Heidari, B. Rezaei, N. Mohamadi, E. Rahimi-Movaghar, A. Rahim, F. Eskandarieh, S. Sahraian, M. Mohebi, F. Aminorroaya, A. Ebrahimi, H. Farzadfar, F. Mohajer, B. Pishgar, F. Saeedi Moghaddam, S. Shabani, M. Zarafshan, H. Abolhassani, H. Hafezi-Nejad, N. Heidari-Soureshjani, R. Abdollahi, M. Farahmand, M. Salamati, P. Mehrabi Nasab, E. Tajdini, M. Aghamir, S. Mirzaei, R. Dibaji Forooshani, Z. Khater, M.M. Abd-Allah, F. Abdelalim, A. Abualhasan, A. El-Jaafary, S.I. Hassan, A. Elsharkawy, A. Khater, A.M. Elhabashy, H.R. Salem, M.R.R. Salem, H. Sadeghi, M. Jafarinia, M. Amini-Rarani, M. Mohammadifard, N. Sarrafzadegan, N. Abdollahpour, I. Sarveazad, A. Tehrani-Banihashemi, A. Yoosefi Lebni, J. Manafi, N. Pazoki Toroudi, H. Dorostkar, F. Alipour, V. Sheikhtaheri, A. Arabloo, J. Azari, S. Ghashghaee, A. Rezapour, A. Naserbakht, M. Kabir, A. Mehri, F. Yousefifard, M. Asadi-Aliabadi, M. Babaee, E. Eshrati, B. Goharinezhad, S. Moradi-Lakeh, M. Abedi, P. Rashedi, V. Kumar, V. Elgendy, I.Y. Basu, S. Park, J. Pereira, A. Norheim, O.F. Eagan, A.W. Cahill, L.E. Sheikh, A. Abushouk, A.I. Kraemer, M.U.G. Thakur, B. Bärnighausen, T.W. Shrime, M.G. Department of Juridical and Economic Studies La Sapienza University Rome Italy Centre for Global Mental Health (CGMH) London School of Hygiene & Tropical Medicine London United Kingdom Department of Global Health and Development London School of Hygiene & Tropical Medicine London United Kingdom Department of Health Services Research and Policy London School of Hygiene & Tropical Medicine London United Kingdom Department of Infectious Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom Department of Non-communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom Department of Public Health Environments and Society London School of Hygiene & Tropical Medicine London United Kingdom European Observatory on Health Systems and Policies London School of Hygiene & Tropical Medicine London United Kingdom Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London United Kingdom Faculty of Infectious and Tropical Diseases London School of Hygiene & Tropical Medicine London United Kingdom MSc Epidemiology Programme London School of Hygiene & Tropical Medicine London United Kingdom Autism Spectrum Disorders Research Center Hamadan Iran Department of Biostatistics Hamadan Iran Department of Endocrinology Hamadan Iran Department of Environmental Health Engineering Hamadan Iran Department of Epidemiology Hamadan Iran Department of Internal Medicine Hamadan Iran Department of Microbiology Hamadan Iran Department of Midwifery Hamadan Iran Neurophysiology Research Center Hamadan Iran Research Center for Molecular Medicine Hamadan Iran Hamadan University of Medical Sciences Hamadan Iran Clinical Research Development Unit Rafsanjan University of Medical Sciences Rafsanjan Iran Department of Internal Medicine Rafsanjan University of Medical Sciences Rafsanjan Iran Department of Neurology Rafsanjan University of Medical Sciences Rafsanjan Iran Department of

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health ...

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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

arXiv

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arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, Enrico Solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. Schlachta, Christopher De Ribaupierre, Sandrine Patel, Rajnikant Eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan Stefan de la Rosa, Ezequiel Christ, Patrick Ferdinand Li, Hongwei Bran Ellis, David G. Aizenberg, Michele R. Gatidis, Sergios Küstner, Thomas Shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, mathieu Sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom Shapey, Jonathan Kujawa, Aaron Cornelissen, Stefan Langenhuizen, Patrick Ben-Hamadou, Achraf Rekik, Ahmed Pujades, Sergi Boyer, Edmond Bolelli, Federico Grana, Costantino Lumetti, Luca Salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin Beier, Susann Sowmya, Arcot Garza-Villarreal, Eduardo A. Balducci, Thania Angeles-Valdez, Diego Souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, Soumick Dubost, Florian Schreiber, Stefanie Mattern, Hendrik Speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio Suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, Emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, Evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank Badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin Balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, Stanislav Bahnsen, Fin H. Seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. Stiefelhagen, Rainer Santos, Ana Sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian Brehmer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, mes... 详细信息

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Corrigendum to “Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model” [Reliab. Eng. Syst. Saf. 150 (2016) 136–146]

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Reliability engineering & System Safety 2016年 154卷 234-234页

作者： Márciodas Chagas Moura Rafael Valença Azevedo Enrique López Droguett Leandro Chaves Rêgo Isis Didier Lins Romulo Fernando Vilela Romero Sales Filho CEERMA-Center for Risk Analysis Reliability and Environmental Modeling Universidade Federalde Pernambuco Av. da Arquitetura s/n CEP: 50.740-550 Cidade Universitária Recife PE Brazil Department of Production Engineering Universidade Federalde Pernambuco Rua Acadêmico Hélio Ramos s/n Cidade Universitária CEP: 50740-530 Recife PE Brazil Mechanical Engineering Department University of Chile Santiago Chile Department of Statistics and Applied Mathematics Federal University of Ceará Avenidada Universidade 2853-Benfica Fortaleza 60020-181 CE Brazil CHESF-SãoFrancisco’s Hydroelectric Company Rua Delmiro Gouvêia 333-San Martin CEP:50761-901 Recife PE Brazil Academic Unit of Garanhuns Federal Rural University of Pernambuco Garanhuns Brazil

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Correction to: Control for multifunctionality: bioinspired control based on feeding in Aplysia californica

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Biological cybernetics 2021年第2期115卷 191页

作者： Victoria A Webster-Wood Jeffrey P Gill Peter J Thomas Hillel J Chiel Department of Mechanical Engineering Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 USA. vwebster@andrew.cmu.edu. Department of Biomedical Engineering Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 USA. vwebster@andrew.cmu.edu. McGowan Institute for Regenerative Medicine Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 USA. vwebster@andrew.cmu.edu. Department of Biology Case Western Reserve University 2080 Adelbert Road Cleveland OH 44106-7080 USA. Department of Mathematics Applied Mathematics and Statistics Case Western Reserve University 10900 Euclid Avenue Cleveland OH 44106-4901 USA. Department of Electrical Computer and Systems Engineering Case Western Reserve University 10900 Euclid Avenue Cleveland OH 44106-4901 USA. Department of Neurosciences Case Western Reserve University 2080 Adelbert Road Cleveland OH 44106-7080 USA. Department of Biomedical Engineering Case Western Reserve University 2080 Adelbert Road Cleveland OH 44106-7080 USA.

The authors have identified a typesetting error in their representation of the frictional forces in the original version of this manuscript.

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The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

arXiv

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arXiv 2021年

作者： Baheti, Bhakti Chakrabarty, Satrajit Akbari, Hamed Bilello, Michel Wiestler, Benedikt Schwarting, Julian Calabrese, Evan Rudie, Jeffrey Abidi, Syed Mousa, Mina Villanueva-Meyer, Javier Fields, Brandon K.K. Kofler, Florian Shinohara, Russell Takeshi Iglesias, Juan Eugenio Mok, Tony C.W. Chung, Albert C.S. Wodzinski, Marek Jurgas, Artur Marini, Niccolò Atzori, Manfredo Müller, Henning Grosbröhmer, Christoph Siebert, Hanna Hansen, Lasse Heinrich, Mattias P. Canalini, Luca Klein, Jan Gerken, Annika Heldmann, Stefan Hering, Alessa Hahn, Horst K. Meng, Mingyuan Bi, Lei Feng, Dagan Kim, Jinman Zeineldinal, Ramy A. Karar, Mohamed E. mathis-Ullrich, Franziska Burgert, Oliver Abderezaei, Javid Pionteck, Aymeric Chopra, Agamdeep Kurt, Mehmet Yan, Kewei Yan, Yonghong Tang, Zhe Ma, Jianqiang Nasser, Sahar Almahfouz Kurian, Nikhil Cherian Meena, Mohit Shamsi, Saqib Sethi, Amit Tustison, Nicholas J. Avants, Brian B. Cook, Philip Gee, James C. Tian, Lin Greer, Hastings Niethammer, Marc Hoopesar, Andrew Hoffmannas, Malte Dalcaar, Adrian V. Christodoulidis, Stergios Estiene, Théo Vakalopoulou, Maria Paragios, Nikos Marcus, Daniel S. Davatzikos, Christos Sotiras, Aristeidis Menze, Bjoern Bakas, Spyridon Waldmannstetter, Diana Division of Computational Pathology Department of Pathology and Laboratory Medicine Indiana University School of Medicine IndianapolisIN United States Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO United States GE HealthCare San RamonCA United States University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Mallinckrodt Institute of Radiology Washington University School of Medicine St. LouisMO United States Institute for Informatics Data Science & Biostatistics Washington University School of Medicine St. LouisMO United States Department of Bioengineering Santa Clara University Santa ClaraCA United States Department of Quantitative Biomedicine University of Zurich Zurich Switzerland Department of Computer Science TUM School of Computation Information and Technology Technical University of Munich Munich Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum rechts der Isar Technical University of Munich Munich Germany Department of Nuclear Medicine University Hospital Regensburg Regensburg Germany University Hospital Regensburg Regensburg Germany Department of Radiology & Biomedical Imaging University of California San FranciscoCA United States Department of Radiology Duke University Medical Center DurhamNC United States Department of Radiology University of California San DiegoCA United States Helmholtz AI Helmholtz Munich Neuherberg Germany Penn Statistics in Imaging and Visualization Center Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Philadelphia United States Massachusetts General Hospital Harvard Medical School United States Centre for Medical Imaging Computing University College London United Kingdom The Hong Kong University of Science and Technology Hong Kong University of Applied Sciences West

Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been considerable progress in developing... 详细信息

Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been considerable progress in developing general-purpose medical image registration techniques, they have not yet attained the requisite precision and reliability for this task, highlighting its inherent complexity. Here we describe the Brain Tumor Sequence Registration (BraTS-Reg) challenge, as the first public benchmark environment for deformable registration algorithms focusing on estimating correspondences between pre-operative and follow-up scans of the same patient diagnosed with a diffuse brain glioma. The challenge was conducted in conjunction with both the IEEE International Symposium on Biomedical Imaging (ISBI) 2022 and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2022. The BraTS-Reg data comprise de-identified multi-institutional multi-parametric MRI (mpMRI) scans, curated for size and resolution according to a canonical anatomical template, and divided into training, validation, and testing sets. Clinical experts annotated ground truth (GT) landmark points of anatomical locations distinct across the temporal domain. The training data with their GT annotations, were publicly released to enable the development of registration algorithms. The validation data, without their GT annotations, were also released to allow for algorithmic evaluation prior to the testing phase, which only allowed submission of containerized algorithms for evaluation on hidden hold-out testing data. Quantitative evaluation and ranking was based on the Median Euclidean Error (MEE), Robustness, and the determinant of the Jacobian of the displacement field. The top-ranked methodologies yielded similar performance across all evaluation metrics and shared several methodological commonalities, including pre-alignment, deep neural networks, inverse consistency

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Global non-potential magnetic models of the solar corona during the March 2015 eclipse

arXiv

引用

arXiv 2018年

作者： Yeates, Anthony R. Amari, Tahar Contopoulos, Ioannis Feng, Xueshang Mackay, Duncan H. Mikić, Zoran Wiegelmann, Thomas Hutton, Joseph Lowder, Christopher A. Morgan, Huw Petrie, Gordon Rachmeler, Laurel A. Upton, Lisa A. Canou, Aurelien Chopin, Pierre Downs, Cooper Druckmüller, Miloslav Linker, Jon A. Seaton, Daniel B. Török, Tibor Department of Mathematical Sciences Durham University Science Laboratories South Road DurhamDH1 3LE United Kingdom CNRS Centre de Physique Théorique de l’Ecole Polytechnique Palaiseau CedexF-91128 France Research Center for Astronomy and Applied Mathematics Academy of Athens Athens11527 Greece Moscow115409 Russia State Key Laboratory of Space Weather National Space Science Center Chinese Academy of Sciences Beijing100190 China School of Mathematics and Statistics University of St Andrews North Haugh St Andrews FifeKY16 9SS United Kingdom Predictive Science Inc. 9990 Mesa Rim Rd. Ste. 170 San DiegoCA92121-2910 United States Max-Planck Institut für Sonnensystemforschung Justus-von-Liebig-Weg 3 GöttingenD-37077 Germany Institute of Mathematics Physics & Computer Sciences Aberystwyth University Penglais Aberystwyth CeredigionSY23 3BZ United Kingdom Southwest Research Institute 1050 Walnut Street BoulderCO80302 United States National Solar Observatory BoulderCO80303 United States NASA Marshall Space Flight Center HuntsvilleAL35811 United States High Altitude Observatory National Center for Atmospheric Research 3080 Center Green Dr. BoulderCO80301 United States Faculty of Mechanical Engineering Brno University of Technology Brno616 69 Czech Republic Cooperative Institute for Research in Environmental Sciences University of Colorado BoulderCO80305 United States National Centers for Environmental Information National Oceanic and Atmospheric Administration BoulderCO80305 United States

Seven different models are applied to the same problem of simulating the Sun’s coronal magnetic field during the solar eclipse on 2015 March 20. All of the models are non-potential, allowing for free magnetic energy,... 详细信息

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