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Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature communications 2023年第1期14卷 436页

作者： Sarthak Pati Ujjwal Baid Brandon Edwards Micah Sheller Shih-Han Wang G Anthony Reina Patrick Foley Alexey Gruzdev Deepthi Karkada Christos Davatzikos Chiharu Sako Satyam Ghodasara Michel Bilello Suyash Mohan Philipp Vollmuth Gianluca Brugnara Chandrakanth J Preetha Felix Sahm Klaus Maier-Hein Maximilian Zenk Martin Bendszus Wolfgang Wick Evan Calabrese Jeffrey Rudie Javier Villanueva-Meyer Soonmee Cha Madhura Ingalhalikar Manali Jadhav Umang Pandey Jitender Saini John Garrett Matthew Larson Robert Jeraj Stuart Currie Russell Frood Kavi Fatania Raymond Y Huang Ken Chang Carmen Balaña Jaume Capellades Josep Puig Johannes Trenkler Josef Pichler Georg Necker Andreas Haunschmidt Stephan Meckel Gaurav Shukla Spencer Liem Gregory S Alexander Joseph Lombardo Joshua D Palmer Adam E Flanders Adam P Dicker Haris I Sair Craig K Jones Archana Venkataraman Meirui Jiang Tiffany Y So Cheng Chen Pheng Ann Heng Qi Dou Michal Kozubek Filip Lux Jan Michálek Petr Matula Miloš Keřkovský Tereza Kopřivová Marek Dostál Václav Vybíhal Michael A Vogelbaum J Ross Mitchell Joaquim Farinhas Joseph A Maldjian Chandan Ganesh Bangalore Yogananda Marco C Pinho Divya Reddy James Holcomb Benjamin C Wagner Benjamin M Ellingson Timothy F Cloughesy Catalina Raymond Talia Oughourlian Akifumi Hagiwara Chencai Wang Minh-Son To Sargam Bhardwaj Chee Chong Marc Agzarian Alexandre Xavier Falcão Samuel B Martins Bernardo C A Teixeira Flávia Sprenger David Menotti Diego R Lucio Pamela LaMontagne Daniel Marcus Benedikt Wiestler Florian Kofler Ivan Ezhov Marie Metz Rajan Jain Matthew Lee Yvonne W Lui Richard McKinley Johannes Slotboom Piotr Radojewski Raphael Meier Roland Wiest Derrick Murcia Eric Fu Rourke Haas John Thompson David Ryan Ormond Chaitra Badve Andrew E Sloan Vachan Vadmal Kristin Waite Rivka R Colen Linmin Pei Murat Ak Ashok Srinivasan J Rajiv Bapuraj Arvind Rao Nicholas Wang Ota Yoshiaki Toshio Moritani Sevcan Turk Joonsang Lee Snehal Prabhudesai Fanny Morón Jacob Mandel Konstantinos Kamnitsas Ben Glocker Luke V M Dixon Matthew Williams Peter Zamp Center for Biomedical Image Computing and Analytics (CBICA) University of Pennsylvania Philadelphia PA USA. Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Department of Informatics Technical University of Munich Munich Bavaria Germany. Intel Corporation Santa Clara CA USA. Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany. Clinical Cooperation Unit Neuropathology German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ) Heidelberg Germany. Department of Neuropathology Heidelberg University Hospital Heidelberg Germany. Division of Medical Image Computing German Cancer Research Center Heidelberg Germany. Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany. Neurology Clinic Heidelberg University Hospital Heidelberg Germany. Department of Radiology & Biomedical Imaging University of California San Francisco San Francisco CA USA. Symbiosis Center for Medical Image Analysis Symbiosis International University Pune Maharashtra India. Department of Neuroimaging and Interventional Radiology National Institute of Mental Health and Neurosciences Bangalore Karnataka India. Department of Radiology School of Medicine and Public Health University of Wisconsin Madison WI USA. Department of Medical Physics School of Medicine and Public Health University of Wisconsin Madison WI USA. Leeds Teaching Hospitals Trust Department of Radiology Leeds UK. Department of Radiology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA USA. Catalan Institute of Oncology Badalona Spain. Consorci MAR Parc de Salut de Barcelona Catalonia Spain. Department of Radiology (IDI

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NWChem: Past, present, and future

arXiv

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arXiv 2020年

作者： Aprà, E. Bylaska, E.J. de Jong, W.A. Govind, N. Kowalski, K. Straatsma, T.P. Valiev, M. van Dam, H.J.J. Alexeev, Y. Anchell, J. Anisimov, V. Aquino, F.W. Atta-Fynn, R. Autschbach, J. Bauman, N.P. Becca, J.C. Bernholdt, D.E. Bhaskaran-Nair, K. Bogatko, S. Borowski, P. Boschen, J. Brabec, J. Bruner, A. Cauët, E. Chen, Y. Chuev, G.N. Cramer, C.J. Daily, J. Deegan, M.J.O. Dunning, T.H. Dupuis, M. Dyall, K.G. Fann, G.I. Fischer, S.A. Fonari, A. Früchtl, H. Gagliardi, L. Garza, J. Gawande, N. Ghosh, S. Glaesemann, K. Götz, A.W. Hammond, J. Helms, V. Hermes, E.D. Hirao, K. Hirata, S. Jacquelin, M. Jensen, L. Johnson, B.G. Jónsson, H. Kendall, R.A. Klemm, M. Kobayashi, R. Konkov, V. Krishnamoorthy, S. Krishnan, M. Lin, Z. Lins, R.D. Littlefield, R.J. Logsdail, A.J. Lopata, K. Ma, W. Marenich, A.V. Martin del Campo, J. Mejia-Rodriguez, D. Moore, J.E. Mullin, J.M. Nakajima, T. Nascimento, D.R. Nichols, J.A. Nichols, P.J. Nieplocha, J. Otero-de-la-Roza, A. Palmer, B. Panyala, A. Pirojsirikul, T. Peng, B. Peverati, R. Pittner, J. Pollack, L. Richard, R.M. Sadayappan, P. Schatz, G.C. Shelton, W.A. Silverstein, D.W. Smith, D.M.A. Soares, T.A. Song, D. Swart, M. Taylor, H.L. Thomas, G.S. Tipparaju, V. Truhlar, D.G. Tsemekhman, K. van Voorhis, T. Vázquez-Mayagoitia, Á. Verma, P. Villa, O. Vishnu, A. Vogiatzis, K.D. Wang, D. Weare, J.H. Williamson, M.J. Windus, T.L. Woliński, K. Wong, A.T. Wu, Q. Yang, C. Yu, Q. Zacharias, M. Zhang, Z. Zhao, Y. Harrison, R.J. Pacific Northwest National Laboratory RichlandWA99352 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States National Center for Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Brookhaven National Laboratory UptonNY11973 United States Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Intel Corporation Santa ClaraCA95054 United States QSimulate CambridgeMA02139 United States Department of Physics University of Texas at Arlington ArlingtonTX76019 United States Department of Chemistry University at Buffalo State University of New York BuffaloNY14260 United States Department of Chemistry Pennsylvania State University University ParkPA16802 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Washington University St. LouisMO63130 United States 4G Clinical WellesleyMA02481 United States Faculty of Chemistry Maria Curie-Sklodowska University in Lublin Lublin20-031 Poland Department of Chemistry Iowa State University AmesIA50011 United States J. Heyrovský Institute of Physical Chemistry Academy of Sciences of the Czech Republic Prague 818223 Czech Republic Department of Chemistry and Physics University of Tennessee at Martin MartinTN38238 United States Université libre de Bruxelles BrusselsB-1050 Belgium Facebook Menlo ParkCA94025 United States Institute of Theoretical and Experimental Biophysics Russian Academy of Science Pushchino Moscow142290 Russia Department of Chemistry Chemical Theory Center Supercomputing Institute University of Minnesota MinneapolisMN55455 United States SKAO Jodrell Bank Observatory MacclesfieldSK11 9DL United Kingdom Department of Chemistry University of Washington SeattleWA98195 United States Dirac Solutions PortlandOR97229 United States Chemistry Division U. S. Naval Research Laboratory WashingtonDC20375 United States School of Chemistry and Biochemis

Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the last few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach and outlook. Copyright © 2020, The Authors. All rights reserved.

关键词： Computational chemistry

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Charismatic technology 15

Charismatic technology

引用

5th Decennial Aarhus Conference on Critical Alternatives, CA 2015

作者： Ames, Morgan G. University of California Intel Science and Technology Center for Social Computing Irvine United States

To explain the uncanny holding power that some technologies seem to have, this paper presents a theory of charisma as attached to technology. It uses the One Laptop per Child project as a case study for exploring the features, benefits, and pitfalls of charisma. It then contextualizes OLPC's charismatic power in the historical arc of other charismatic technologies, highlighting the enduring nature of charisma and the common themes on which the charisma of a century of technological progress rests. In closing, it discusses how scholars and practitioners in human-computer interaction might use the concept of charismatic technology in their own work. © 2015 ACM. All Rights Reserved.

关键词： Human computer interaction

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QMCPACK: An open source ab initio Quantum Monte Carlo package for the electronic structure of atoms, molecules, and solids

arXiv

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arXiv 2018年

作者： Kim, Jeongnim Baczewski, Andrew Beaudet, Todd D. Benali, Anouar Bennett, M. Chandler Berrill, Mark A. Blunt, Nick S. Borda, Edgar Casula, Michele Ceperley, David M. Chiesa, Simone Clark, Bryan K. Clay, Raymond C. Delaney, Kris T. Dewing, Mark Esler, Kenneth P. Hao, Hongxia Heinonen, Olle Kent, Paul R.C. Krogel, Jaron T. Kylänpää, Ilkka Li, Ying Wai Lopez, M. Graham Luo, Ye Malone, Fionn D. Martin, Richard M. Mathuriya, Amrita McMinis, Jeremy Melton, Cody A. Mitas, Lubos Morales, Miguel A. Neuscamman, Eric Parker, William D. Flores, D. Pineda Romero, Nichols A. Rubenstein, Brenda M. Shea, Jacqueline A.R. Shin, Hyeondeok Shulenburger, Luke Tillack, Andreas Townsend, Joshua P. Tubman, Norm M. Goetz, Brett Vincent, Jordan E. Yang, D. ChangMo Yang, Yubo Zhang, Shuai Zhao, Luning Intel Corporation HillsboroOR987124 United States HEDP Theory Department Sandia National Laboratories AlbuquerqueNM87185 United States Department of Mechanical and Aerospace Engineering University of Virginia CharlottesvilleVA22904 United States Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Computational Science Division Argonne National Laboratory ArgonneIL60439 United States Department of Physics North Carolina State University RaleighNC27695 United States Computer Science and Mathematics Division Oak Ridge National Laboratory Oak RidgeTN37831 United States University Chemical Laboratory Lensfield Road CambridgeCB2 1EW United Kingdom Lawrence Livermore National Laboratory LivermoreCA94550 United States Sorbonne Université CNRS UMR 7590 IRD UMR 206 MNHN 4 Place Jussieu Paris75252 France Department of Physics University of Illinois UrbanaIL61801 United States Materials Research Laboratory University of California Santa BarbaraCA93106 United States Stone Ridge Technology Bel AirMD21015 United States Department of Chemistry Brown University ProvidenceRI02912 United States Material Science Division Argonne National Laboratory ArgonneIL60439 United States Northwestern-Argonne Institute for Science and Engineering Northwestern University EvanstonIL60208 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Computational Sciences and Engineering Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge TN37831 United States National Center for Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Department of Chemistry University of California BerkeleyCA94720 United States Chemical Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of M

QMCPACK is an open source quantum Monte Carlo package for ab-initio electronic structure calculations. It supports calculations of metallic and insulating solids, molecules, atoms, and some model Hamiltonians. Implemented real space quantum Monte Carlo algorithms include variational, diffusion, and reptation Monte Carlo. QMCPACK uses Slater-Jastrow type trial wavefunctions in conjunction with a sophisticated optimizer capable of optimizing tens of thousands of parameters. The orbital space auxiliary field quantum Monte Carlo method is also implemented, enabling cross validation between different highly accurate methods. The code is specifically optimized for calculations with large numbers of electrons on the latest high performance computing architectures, including multicore central processing unit (CPU) and graphical processing unit (GPU) systems. We detail the program’s capabilities, outline its structure, and give examples of its use in current research calculations. The package is available at http://***. Copyright © 2018, The Authors. All rights reserved.

关键词： Electronic structure

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Semantic theories of programs with nested interrupts

引用

Frontiers of Computer science 2015年第3期9卷 331-345页

作者： Yanhong HUANG Jifeng HE Huibiao ZHU Yongxin ZHAO Jianqi SHI Shengchao QIN National Trusted Embedded Software Engineering Technology Research Center East China Normal University Shanghai 200062 China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai 200062 China School of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 China

In the design of dependable software for embed- ded and real-time operating systems, time analysis is a cru- cial but extremely difficult issue, the challenge of which is exacerbated due to the randomness and nondeterminism of interrupt handling behaviors. Thus research into a theory that integrates interrupt behaviors and time analysis seems to be important and challenging. In this paper, we present a pro- gramming language to describe programs with interrupts that is comprised of two essential parts： main program and inter- rupt handling programs. We also explore a timed operational semantics and a denotational semantics to specify the mean- ings of our language. Furthermore, a strategy of deriving de- notational semantics from the timed operational semantics is provided to demonstrate the soundness of our operational se- mantics by showing the consistency between the derived de- notational semantics and the original denotational semantics.

关键词： embedded and real-time operating systems in-terrupts operational semantics denotational semantics semantics linking

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Message from iThings 2016 Steering Committee

Proceedings - 2016 IEEE International Conference on Internet...

引用

Proceedings - 2016 IEEE International Conference on Internet of Things;IEEE Green computing and Communications;IEEE Cyber, Physical, and Social computing;IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016 2016年 xxii页

作者： Ma, Jianhua Yang, Laurence T. Chen, Zhikui Bourgeois, Julien Piuri, Vincenzo Huansheng, Ning Chen, Yen-Kuang Hosei University Japan St Francis Xavier University Canada Dalian University of Technology China UFC/FEMTO-ST Institute France University degli Studi di Milano Italy University of Science and Technology Beijing China Intel-NTU Connected Context Computing Center Taiwan

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Envisioning a smart home that can learn and negotiate the needs of multiple users

Envisioning a smart home that can learn and negotiate the ne...

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ACM International Joint Conference on Pervasive and Ubiquitous computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015

作者： Chuang, Yaliang Chen, Lin-Lin Lee, Ya-Han User Experience Group Intel-NTU Connected Context Computing Center Taiwan Department of Industrial and Commercial Design National Taiwan University of Science and Technology Taiwan

ISBN: (纸本)9781450335751

Most of the previous smart home researches were primarily concerned for single-user scenarios. However, our homes are usually full with social interactions. In order to explore the research challenge, we applied need-finding approaches to envision the possibilities. We visited ten families to prove five important themes in domestic life. Those findings were used to inspire hundreds of design ideas. Finally, a concept design that utilized the agent and ubiquity mobile technology to learn personal preferences and act to negotiate family members' different needs is proposed.

关键词： Automation

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RollingLight: Enabling line-of-sight light-to-camera communications 15

RollingLight: Enabling line-of-sight light-to-camera communi...

引用

13th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2015

作者： Lee, Hui-Yu Lin, Hao-Min Wei, Yu-Lin Wu, Hsin-I. Tsai, Hsin-Mu Lin, Kate Ching-Ju Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Intel-NTU Connected Context Computing Center Taipei Taiwan

ISBN: (纸本)9781450334945

Recent literatures have demonstrated the feasibility and applicability of light-to-camera communications. They either use this new technology to realize specific applications, e.g., localization, by sending repetitive signal patterns, or consider non-line-of-sight scenarios. We however notice that line-of-sight light-to-camera communications has a great potential because it provides a natural way to enable visual association, i.e., visually associating the received information with the transmitter's identity. Such capability benefits broader applications, such as augmented reality, advertising, and driver assistance systems. Hence, this paper designs, implements, and evaluates RollingLight, a line-of-sight light-to-camera communication system that enables a light to talk to diverse off-the-shelf rolling shutter cameras. To boost the data rate and enhance reliability, RollingLight addresses the following practical challenges. First, its demodulation algorithm allows cameras with heterogeneous sampling rates to accurately decode high-order frequency modulation in real-time. Second, it incorporates a number of designs to resolve the issues caused by inherently unsynchronized light-to-camera channels. We have built a prototype of Rolling- Light with USRP-N200, and also implemented a real system with Arduino Mega 2560, both tested with a range of different camera receivers. We also implement a real iOS application to examine our real-time decoding capability. The experimental results show that, even to serve commodity cameras with a large variety of frame rates, RollingLight can still deliver a throughput of 11.32 bytes per second. Copyright is held by the owner/author(s).

关键词： Cameras

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Madness: A multiresolution, adaptive numerical environment for scientific simulation

Madness: A multiresolution, adaptive numerical environment f...

引用

作者： Harrison, Robert J. Beylkin, Gregory Bischoff, Florian A. Calvin, Justus A. Fann, George I. Fosso-Tande, Jacob Galindo, Diego Hammond, Jeff R. Hartman-Baker, Rebecca Hill, Judith C. Jia, Jun Kottmann, Jakob S. Ou, M-J. Yvonne Pei, Junchen Ratcliff, Laura E. Reuter, Matthew G. Richie-Halford, Adam C. Romero, Nichols A. Sekino, Hideo Shelton, William A. Sundahl, Bryan E. Thornton, W. Scott Valeev, Edward F. Vázquez-Mayagoitia, Álvaro Vence, Nicholas Yanai, Takeshi Yokoi, Yukina Stony Brook University Stony BrookNY11794 United States University of Colorado at Boulder BoulderCO80309 United States Institut für Chemie Humboldt-Universität Zu Berlin Unter den Linden 6 Berlin10099 Germany Department of Chemistry Virginia Tech. BlacksburgVA24061 United States Oak Ridge National Laboratory Oak RidgeTN37831 United States Department of Chemistry and Biochemistry Florida State University TallahasseeFL32306 United States Parallel Computing Lab Intel Corporation PortlandOR97219 United States National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory BerkeleyCA94720 United States LinkedIn Mountain ViewCA94043 United States Department of Mathematical Sciences University of Delaware NewarkDE19716 United States State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing100871 China Argonne Leadership Computing Facility Argonne National Laboratory ArgonneIL60439 United States Department of Physics University of Washington SeattleWA98195 United States Computer Science and Engineering Toyohashi University of Technology ToyohashiAichi441-8580 Japan Louisiana State University Baton RougeLA70803 United States Department of Physics LaSierra University RiversideCA92505 United States Theoretical and Computational Molecular Science Institute for Molecular Science OkazakiAichi444-8585 Japan

MADNESS (multiresolution adaptive numerical environment for scientific simulation) is a high-level software environment for solving integral and differential equations in many dimensions that uses adaptive and fast harmonic analysis methods with guaranteed precision that are based on multiresolution analysis and separated representations. Underpinning the numerical capabilities is a powerful petascale parallel programming environment that aims to increase both programmer productivity and code scalability. This paper describes the features and capabilities of MADNESS and briefly discusses some current applications in chemistry and several areas of physics. © 2016 Society for Industrial and Applied Mathematics.

关键词： Multiresolution analysis

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Balancing between conflicting values for designing subjective well-being for the digital home 15

Balancing between conflicting values for designing subjectiv...

引用

Asia Pacific HCI and UX Design Symposium, APCHIUX 2015

作者： Tsai, Wenn-Chieh Chuang, Yaliang Chen, Lin-Lin Faculty of Design Architecture and Building University of Technology Sydney Australia User Experience Group Intel-NTU Connected Context Computing Center Taipei Taiwan Department of Industrial and Commercial Design National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9781450340410

This paper highlights three pairs of implicit but important human values that are sometimes overlooked or taken for granted in the design of mainstream products for the home. They are private and shared, present and past, control and abdicate. We argue that these values are worth preserving and balancing in interactions with Internet-of-things (IoT) products at future digital home if subjective well-being is under consideration. We conducted a qualitative field study with 11 families and present these values in pairs in order to inform designers of the tradeoffs that should be considered in their practices. © 2015 ACM.

关键词： Digital home Human values Internet-ofthings Subjective well-being

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