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2017 NATO IST-153/RWS-21 Workshop on Cyber Resilience, IST-153 2017

作者： Alexeev, Alexander Henshel, Diane S. Levitt, Karl McDaniel, Patrick Rivera, Brian Templeton, Steven Weisman, Mike Data Analysis and Modeling Indiana University School of Public and Environmental Affairs 1315 E 10th Street BlooomingtonIN47405 Indiana University School of Public and Environmental Affairs 1315 E 10th Street BloomingtonIN47405 Computer Science College of Engineering University of California Davis 1 Shields Ave. DavisCA05616 School of Electrical Engineering and Computer Science Pennsylvania State University Information Sciences and Technology Building University ParkPA16802-6823 Network Science Division Tactical Network Assurance Branch U.S. Army Research Laboratory 2800 Powder Mill Road AdelphiMD20783 Computer Security Research Lab Department of Computer Science University of California Davis One Shields Avenue DavisCA95616 Network Science Division Network Security Branch U.S. Army Research Laboratory ICF International 2800 Powder Mill Road AdelphiMD20783

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Dynamic constraints on activity and connectivity during the learning of value

arXiv

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arXiv 2018年

作者： Adebimpe, Azeez Bertolero, Maxwell Khambhati, Ankit N. Mattar, Marcelo G. Romer, Daniel Thompson-Schill, Sharon L. Bassett, Danielle S. Annenberg Public Policy Center University of Pennsylvania PhiladelphiaPA19104 United States Department of Psychiatry Perelman School of Medicine University of Pennsylvania PhiladelphiaPA19104 United States Department of Bioengineering School of Engineering & Applied Science University of Pennsylvania PA19104 United States Department of Neurological Surgery University of California San FranciscoCA94122 United States Princeton Neuroscience Institute Princeton University PrincetonNJ United States Department of Psychology School of Arts & Sciences University of Pennsylvania PA19104 United States Department of Electrical & Systems Engineering School of Engineering & Applied Science University of Pennsylvania PA19104 United States Department of Psychiatry Perelman School of Medicine University of Pennsylvania PhiladelphiaPA19104 United States Department of Physics & Astronomy College of Arts & Sciences University of Pennsylvania PhiladelphiaPA19104 United States

Human learning is a complex process in which future behavior is altered via the modulation of neural activity. Yet, the degree to which brain activity and functional connectivity during learning is constrained across subjects, for example by conserved anatomy and physiology or by the nature of the task, remains unknown. Here, we measured brain activity and functional connectivity in a longitudinal experiment in which healthy adult human participants learned the values of novel objects over the course of four days. We assessed the presence of constraints on activity and functional connectivity using an intersubject correlation approach. Constraints on activity and connectivity were greater in magnitude than expected in a non-parametric permutation-based null model, particularly in primary sensory and motor systems, as well as in regions associated with the learning of value. Notably, inter-subject connectivity in activity and connectivity displayed marked temporal variations, with inter-subject correlations in activity exceeding those in connectivity during early learning and visa versa in later learning. Finally, individual differences in performance accuracy tracked the degree to which a subject's connectivity, but not activity, tracked subject-general patterns. Taken together, our results support the notion that brain activity and connectivity are constrained across subjects in early learning, with constraints on activity, but not connectivity, decreasing in later learning. Copyright © 2018, The Authors. All rights reserved.

关键词： Brain

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Spherical Plasmonic Heterodimers: Reversal of Optical Binding Force as the Effect of Symmetry Breaking

arXiv

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arXiv 2017年

作者： Mahdy, M.R.C. Danesh, Md. Zhang, Tianhang Ding, Weiqiang Chowdhury, Ariful Bari Rivy, Hamim Mahmud Mehmood, M.Q. Department of Electrical and Computer Engineering North South University Bashundhara Dhaka1229 Bangladesh Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 117583 Singapore Pi Labs Bangladesh Ltd. ARA Bhaban 39 Kazi Nazrul Islam Avenue Kawran Bazar Dhaka Bangladesh Nus Graduate School for Integrative Sciences and Engineering National University of Singapore 28 Medical Drive 117456 Singapore Department of Physics Harbin Institute of Technology Harbin150001 China Department of Public Health North South University Bashundhara Dhaka1229 Bangladesh Department of Electrical Engineering Information Technology University of Punjab Lahore54000 Pakistan

The stimulating connection between the reversal of near field plasmonic binding force and the role of symmetry breaking has not been investigated in detail in literature. As both bonding and anti-bonding modes are present in the visible spectra of well-known spherical plasmonic heterodimer sets, binding force reversal is commonly believed to occur for all such heterodimers. But our work suggests a very different proposal. We demonstrate that for the symmetry broken heterodimer configurations: Reversal of lateral (for on-axis heterodimers) and longitudinal (for off-axis heterodimers: End-fire and nearly end-fire configurations) near field binding force follow fully distinct mechanisms;i.e. later one on relative orientation and constructive dipole-quadrupole resonance but the former one on light polarization and the induced electric resonance. Interestingly, the reversal of longitudinal near field binding force can be easily controlled just by changing the direction of light propagation or just their relative orientation. Though it is commonly believed that plasmonic forces mostly arise from the surface force and Fano resonance can be a promising way to achieve binding force reversal;our study based on Lorentz force dynamics suggests notably opposite proposals (for both instances) for the case of plasmonic spherical heterodimers. Observations of this article can be very useful for improved sensors, particle clustering and aggregation. Copyright © 2017, The Authors. All rights reserved.

关键词： Plasmonics

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Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study (vol 2, pg 144, 2021)

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LANCET GLOBAL HEALTH 2021年第4期9卷 E408-E408页

作者： Steinmetz, Jaimie D. Vision and Eye Research Institute Anglia Ruskin University Cambridge United Kingdom Biomedical Informatics Seoul National University Hospital Seoul South Korea Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Institute of Health Services Research Yonsei University Seoul South Korea Department of Ophthalmology University of Washington Seattle WA United States Department of Mathematics Imperial College London London United Kingdom WHO Collaborating Centre for Public Health Education and Training Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom School of Population and Global Health University of Melbourne Carlton VIC Australia School of Optometry and Vision Science UNSW Sydney NSW Australia Brien Holden Vision Institute Sydney Australia Department of Ophthalmology University of Adelaide Adelaide SA Australia Department of Parasitology and Mycology Jahrom University of Medical Sciences Jahrom Iran Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Ophthalmic Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Ophthalmology Shahid Beheshti University of Medical Sciences Tehran Iran Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran Ophthalmic Epidemiology Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Health Services Management Department Qazvin University of Medical Sciences Qazvin Iran Department of Systems Populations and Leadership University of Michigan Ann Arbor MI United States Department of Medicine Sofia Ismail Memorial Medical Centre Bogura Bangladesh The Fred Hollows Foundation Sydney NSW Australia Berhan Public Health & Eye Care Consultancy Addis A

Hospital El Salvador: a novel paradigm of intensive care in response to COVID-19 in central America. Lancet Glob Health 2021;9: e241?42?In this Comment, the conflict of interest statement should have included the following: ?By virtue of their roles within a public hospital or the Ministry of Health, MB, LC, WH, and XS are government employees. The findings and conclusions in the Comment are only those of the authors.? This correction has been made as of Feb 26, 2021.

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Design and testing tool for a safe monitoring system for neurodegenerative disorder patients 3

Design and testing tool for a safe monitoring system for neu...

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3rd International Conference on Advances in Computational Tools for engineering Applications, ACTEA 2016

作者： Halabi, Nashaat El Achkar, Roger Daou, Roy Abi Zeid Hayek, Ali Borcsok, Josef Department of Computer and Communications Engineering Faculty of Engineering American University of Science and Technology Beirut Lebanon Department of Biomedical Technologies Faculty of Public Health Lebanese German University Sahel Alma Lebanon Department of Computer Architecture and System Programming Faculty of Electrical Engineering/Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9781467385237

This paper aims to develop a sensor based monitoring and analyzing system for Neuro-Degenerative Disorder patients (NDD);this may consist on SpO2 sensor, Electrophysiological sensors, NIBP, Motion Capture sensors and Eye Monitoring sensor, taking into consideration an acceptable cost for the whole system. Recorded data will be sent to an embedded decision making unit where detection, analysis, classification, prediction and action control will occur. The sensors and the decision making unit will be implemented in a comfortable jacket that doesn't affect the patients' movements and that can be used by several patients with reduced sensor placement alterations. The decision that can be made is creating a stimulus to avoid falling in case of sudden stop while moving, initiating an alarm, sending a notification to a mobile phone application, and/or telemedicine monitoring features. Artificial Neural Networks will be used to classify and predict the abnormal cases where action should be taken, and since the sensors will be continuously recording, it is possible to achieve continuous learning for the ANN as a first phase. Initial models will be defined by testing normal behaviors and some known abnormal behaviors or symptoms related to the electrical activity and other characteristics of the heart, oxygen saturation level, eye activity and body motion. © 2016 IEEE.

关键词： Neural networks

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

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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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Update on carotid plaque instability quantification using strain indices from multiple regions of interest in carotid plaque

Update on carotid plaque instability quantification using st...

引用

2017 IEEE International Ultrasonics Symposium, IUS 2017

作者： Meshram, Nirvedh Mitchell, Carol Hermann, Bruce Wilbrand, Stephanie Jackson, Daren Dempsey, Robert Varghese, Tomy Department of Medical Physics University of Wisconsin School of Medicine and Public Health University of Wisconsin Madison MadisonWI United States Department of Electrical and Computer Engineering University of Wisconsin Madison MadisonWI United States Department of Medicine University of Wisconsin Madison MadisonWI United States Department of Neurology University of Wisconsin Madison MadisonWI United States Department of Neurological Surgery University of Wisconsin Madison MadisonWI United States

ISBN: (纸本)9781538633830

Carotid plaque rupture is a primary cause of ischemic strokes and transient ischemic attacks (TIAs). Probability of stroke and TIAs depend on the mechanical stability of plaque. Ultrasound strain can provide a non-invasive assessment of plaque stiffness to assess mechanical stability. We report on ultrasound strain indices from multiple regions of interest (ROI) in plaque as biomarkers for plaque instability. © 2017 IEEE.

关键词： Strain Correlation Ultrasonic imaging Stability criteria Biomarkers Biomedical imaging

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Implementation of Data Mining to Classify the Consumer's Complaints of Electricity Usage Based on Consumer's Locations Using Clustering Method

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Journal of Physics: Conference Series 2019年第1期1363卷

作者： A M H Pardede Yusdiana Br Sembiring Akbar Iskandar Dyah Retno Pitasari S Sriadhi Dian Rianita Muhammad Arifin Mersy Yoslin Ririhena Nurintan Asyiah Siregar Supriyono Ayu Esteka Sari Simson Tondo Muhammad Zarlis Edy Winarno Tulus STMIK Kaputama Binjai Sumatera Utara Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Department of Law Universitas Halmahera Tobelo Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Department of Public Administrations Universitas Lancang Kuning Indonesia Department of Information System Faculty of Engineering Universitas Muria Kudus Indonesia Department of Accounting Universitas Halmahera Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Department of Information System Universitas Muria Kudus Kudus Indonesia Department of Management STIE Sakti Alam Kerinci Jambi Indonesia Department of Public Administration Universitas Halmahera Tobelo Indonesia Department of Computer Science Universitas Sumatera Utara Medan Indonesia Faculty of Information Technology Universitas Stikubank Semarang Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia

Data collected by PLN staff on customer's complaints in the usage of electricity are very huge and accumulate. Previously, there was no information about these kinds of complaints in all sub-districts included inside the company, PT. PLN Binjai. On the other hand, each year company experienced problems to classify all complaints in order to obtain customers with information to later be used as a basis for making policy/decision. Data mining used clustering method and K-Means algorithm to classify the data so that important information is obtained from customer's complaints on the electricity usage, using variable: types of complaints, power using by consumer and consumer's region. Data was analyzed using Matlab to produce cluster centers and obtained a relationship between variables obtained with groups with high number of complaints. Results revealed that from 500 customers who have complained, cluster 1 had 218 complaints namely NT Fuse Putus with power used was 1300 watt and was located in Binjai.

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Ethical and regulatory challenges of research using pervasive sensing and other emerging technologies: IRB perspectives

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AJOB Empirical Bioethics 2017年第4期8卷 266-276页

作者： Nebeker, Camille Harlow, John Espinoza Giacinto, Rebeca Orozco-Linares, Rubi Bloss, Cinnamon S. Weibel, Nadir Department of Family Medicine and Public Health School of Medicine University of California San Diego United States Center for Wireless and Population Health Systems Qualcomm Institute University of California San Diego United States Moores Cancer Center University of California San Diego Health United States Arizona State University Center for Policy Informatics United States Regulatory Compliance University of California San Diego Health United States Department of Psychiatry University of California San Diego United States Department of Computer Science Engineering University of California San Diego United States

Vast quantities of personal health information and private identifiable information are being created through mobile apps, wearable sensors, and social networks. While new strategies and tools for obtaining health data have expanded researchers' abilities to design and test personalized and adaptive health interventions, the deployment of pervasive sensing and computational techniques to gather research data is raising ethical challenges for Institutional Review Boards (IRBs) charged with protecting research participants. To explore experiences with, and perceptions about, technology-enabled research, and identify solutions for promoting responsible conduct of this research we conducted focus groups with human research protection program and IRB affiliates. Our findings outline the need for increased collaboration across stakeholders in terms of: (1) shared and dynamic resources that improve awareness of technologies and decrease potential threats to participant privacy and data confidentiality, and (2) development of appropriate and dynamic standards through collaboration with stakeholders in the research ethics community. © 2017 Taylor & Francis Group, LLC.

关键词： IRB location tracking pervasive sensing research ethics social media

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On estimation of Lr-norms in gaussian white noise models

arXiv

引用

arXiv 2017年

作者： Han, Yanjun Jiao, Jiantao Mukherjee, Rajarshi Department of Electrical Engineering Stanford University 350 Serra Mall StanfordCA94305 United States Department of Electrical Engineering and Computer Sciences University of California Berkeley 257M Cory Hall BerkeleyCA94720 United States Department of Biostatistics Harvard T. H. Chan School of Public Health Harvard University 655 Huntington Avenue BostonMA02115 United States

We provide a complete picture of asymptotically minimax estimation of Lr-norms (for any r ≥ 1) of the mean in Gaussian white noise model over Nikolskii-Besov spaces. In this regard, we complement the work of [LNS99], who considered the cases of r = 1 (with poly-logarithmic gap between upper and lower bounds) and r even (with asymptotically sharp upper and lower bounds) over Hölder spaces. We additionally consider the case of asymptotically adaptive minimax estimation and demonstrate a difference between even and non-even r in terms of an investigator’s ability to produce asymptotically adaptive minimax estimators without paying a penalty. Copyright © 2017, The Authors. All rights reserved.

关键词： Banach spaces

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