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arXiv 2019年

作者： Kubilius, Jonas Schrimpf, Martin Kar, Kohitij Rajalingham, Rishi Hong, Ha Majaj, Najib J. Issa, Elias B. Bashivan, Pouya Prescott-Roy, Jonathan Schmidt, Kailyn Nayebi, Aran Bear, Daniel Yamins, Daniel L.K. DiCarlo, James J. McGovern Institute for Brain Research MIT CambridgeMA02139 United States Brain and Cognition KU Leuven Leuven Belgium Department of Brain and Cognitive Sciences MIT CambridgeMA02139 United States Center for Brains Minds and Machines MIT CambridgeMA02139 Bay Labs Inc. San FranciscoCA94102 United States Center for Neural Science New York University New YorkNY10003 United States Department of Neuroscience Zuckerman Mind Brain Behavior Institute Columbia University New YorkNY10027 United States Neurosciences PhD Program Stanford University StanfordCA94305 United States Department of Psychology Stanford University StanfordCA94305 United States Department of Computer Science Stanford University StanfordCA94305 United States

Deep convolutional artificial neural networks (ANNs) are the leading class of candidate models of the mechanisms of visual processing in the primate ventral stream. While initially inspired by brain anatomy, over the past years, these ANNs have evolved from a simple eight-layer architecture in AlexNet to extremely deep and branching architectures, demonstrating increasingly better object categorization performance, yet bringing into question how brain-like they still are. In particular, typical deep models from the machine learning community are often hard to map onto the brain's anatomy due to their vast number of layers and missing biologically-important connections, such as recurrence. Here we demonstrate that better anatomical alignment to the brain and high performance on machine learning as well as neuroscience measures do not have to be in contradiction. We developed CORnet-S, a shallow ANN with four anatomically mapped areas and recurrent connectivity, guided by Brain-Score, a new large-scale composite of neural and behavioral benchmarks for quantifying the functional fidelity of models of the primate ventral visual stream. Despite being significantly shallower than most models, CORnet-S is the top model on Brain-Score and outperforms similarly compact models on ImageNet. Moreover, our extensive analyses of CORnet-S circuitry variants reveal that recurrence is the main predictive factor of both Brain-Score and ImageNet top-1 performance. Finally, we report that the temporal evolution of the CORnet-S "IT" neural population resembles the actual monkey IT population dynamics. Taken together, these results establish CORnet-S, a compact, recurrent ANN, as the current best model of the primate ventral visual stream. Copyright © 2019, The Authors. All rights reserved.

关键词： Object recognition

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Changing life expectancy in European countries 1990–2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021

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The Lancet Public Health 2025年第3期10卷 e172-e188页

作者： Steel, Nicholas Bauer-Staeb, Clarissa Maria Mercedes Ford, John A. Abbafati, Cristiana Abdalla, Mohammed Altigani Abdelkader, Atef Abdi, Parsa Zuñiga, Roberto Ariel Abeldaño Abiodun, Olugbenga Olusola Abolhassani, Hassan Abu-Gharbieh, Eman Abukhadijah, Hana J. Abu-Zaid, Ahmed Addo, Isaac Yeboah Addolorato, Giovanni Adekanmbi, Victor Adetunji, Juliana Bunmi Adeyeoluwa, Temitayo Esther Agardh, Emilie E. Agyemang-Duah, Williams Ahmad, Danish Ahmed, Ayman Ahmed, Syed Anees Akinosoglou, Karolina Akkaif, Mohammed Ahmed Al Awaidy, Salah Al Hasan, Syed Mahfuz Al Zaabi, Omar Ali Mohammed Aldridge, Robert W. Algammal, Abdelazeem M. Al-Gheethi, Adel Ali Saeed Ali, Abid Ali, Mohammed Usman Ali, Syed Shujait Ali, Waad Alicandro, Gianfranco Alif, Sheikh Mohammad Al-Jumaily, Adel Allebeck, Peter Alrawashdeh, Ahmad Al-Rifai, Rami H. Alsabri, Mohammed A. Alshahrani, Najim Z. Aluh, Deborah Oyine Al-Wardat, Mohammad Al-Zyoud, Walid A. Amiri, Sohrab Anderlini, Deanna Andrei, Catalina Liliana Anil, Abhishek Anvari, Saeid Anyasodor, Anayochukwu Edward Appiah, Seth Christopher Yaw Aquilano, Michele Arabloo, Jalal Arafat, Mosab Areda, Demelash Aremu, Abdulfatai Armani, Keivan Armocida, Benedetta Ärnlöv, Johan Asaduzzaman, Muhammad Astell-Burt, Thomas Aujayeb, Avinash Ausloos, Marcel Azadnajafabad, Sina Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Badache, Andreea Corina Badiye, Ashish D. Bahramian, Saeed Baig, Atif Amin Baker, Jennifer L. Bansal, Hansi Bärnighausen, Till Winfried Barone, Mark Thomaz Ugliara Barrow, Amadou Barteit, Sandra Bashir, Shahid Bashiru, Hameed Akande Basso, João Diogo Bastan, Mohammad-Mahdi Basu, Sanjay Batra, Kavita Bauckneht, Matteo Baune, Bernhard T. Beghi, Massimiliano Beiranvand, Maryam Béjot, Yannick Bell, Michelle L. Bello, Olorunjuwon Omolaja Belo, Luis Beloukas, Apostolos Beneke, Alice A. Bettencourt, Paulo J.G. Bhagavathula, Akshaya Srikanth Bhala, Neeraj Bhaskar, Sonu Bisulli, Francesca Bjørge, Tone Bodunrin, Aadam Olalekan Carvajal, Alejandro Botero Bouaoud, Souad Brayne, Carol Brenner, H Department of Primary Care and Public Health University of East Anglia Norwich United Kingdom Office for Health Improvement and Disparities Department of Health and Social Care London United Kingdom Department of Legal and Economic Studies La Sapienza University Rome Italy Rome Italy Hull York Medical School University of Hull Hull United Kingdom Department of Mathematics and Sciences Ajman University Ajman United Arab Emirates Department of Medicine Memorial University St. John's NL Canada Postgraduate Department University of Sierra Sur Miahuatlan de Porfirio Diaz Mexico Yhteiskuntadatatieteen keskus (Centre for Social Data Science) Helsinki Finland Department of Internal Medicine Federal Medical Centre Abuja Nigeria Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Medical Biochemistry and Biophysics Karolinska Institutet (Karolinska Institute) Stockholm Sweden Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center Hamad Medical Corporation Doha Qatar Department of Biochemistry and Molecular Medicine Alfaisal University Riyadh Saudi Arabia College of Graduate Health Sciences University of Tennessee Memphis TN United States School of Medicine Sydney NSW Australia Centre for Social Research in Health University of New South Wales Sydney NSW Australia Internal Medicine and Alcohol Related Disease Unit Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy Department of Medical and Surgical Sciences Università Cattolica di Roma (Catholic University of Rome) Rome Italy Department of Obstetrics and Gynecology University of Texas Medical Branch Galveston TX United States Department of Biochemistry Osun State University Osogbo Nigeria Department of Pharmacology and Therapeutics University of Medical Sciences Ondo Ondo Nigeria Department of Veteri

Background: Decades of steady improvements in life expectancy in Europe slowed down from around 2011, well before the COVID-19 pandemic, for reasons which remain disputed. We aimed to assess how changes in risk factors and cause-specific death rates in different European countries related to changes in life expectancy in those countries before and during the COVID-19 pandemic. Methods: We used data and methods from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to compare changes in life expectancy at birth, causes of death, and population exposure to risk factors in 16 European Economic Area countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, and Sweden) and the four UK nations (England, Northern Ireland, Scotland, and Wales) for three time periods: 1990–2011, 2011–19, and 2019–21. Changes in life expectancy and causes of death were estimated with an established life expectancy cause-specific decomposition method, and compared with summary exposure values of risk factors for the major causes of death influencing life expectancy. Findings: All countries showed mean annual improvements in life expectancy in both 1990–2011 (overall mean 0·23 years [95% uncertainty interval [UI] 0·23 to 0·24]) and 2011–19 (overall mean 0·15 years [0·13 to 0·16]). The rate of improvement was lower in 2011–19 than in 1990–2011 in all countries except for Norway, where the mean annual increase in life expectancy rose from 0·21 years (95% UI 0·20 to 0·22) in 1990–2011 to 0·23 years (0·21 to 0·26) in 2011–19 (difference of 0·03 years). In other countries, the difference in mean annual improvement between these periods ranged from –0·01 years in Iceland (0·19 years [95% UI 0·16 to 0·21] vs 0·18 years [0·09 to 0·26]), to –0·18 years in England (0·25 years [0·24 to 0·25] vs 0·07 years [0·06 to 0·08]). In 2019–21, there was an overall decrease in mean annual life expectancy a

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Optimizing regional power production under thermal pollution constraints 7

Optimizing regional power production under thermal pollution...

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7th International Green and Sustainable Computing Conference, IGSC 2016

作者： Bald, Samuel Johnson, Matthew P. Rybalov, Levi PhD Program in Computer Science Graduate Center City University of New York United States Department of Mathematics and Computer Science Lehman College City University of New York United States

ISBN: (纸本)9781509051175

A majority of electricity generation in the US is produced by thermoelectric power plants which require a constant supply of water for cooling. Many of these plants eject large quantities of hot water that was used for cooling into an adjacent river - a phenomenon known as thermal pollution - causing harm to local ecosystems and aquatic life. Commonly, plants lie within interconnected river networks, whence thermal pollution from plants upstream is translated to plants dowstream, causing less-effective cooling, and decreases in efficiency. By default, plants are managed locally, and government regulations combating thermal pollution take the form of local river temperature constraints. We propose analyzing this situation regionally, seeking to balance the trade-off between power demand and required pollution minimization in a region. We first consider fractional variants of this problem where plants may operate at some fraction of their total capacity. We provide optimal poly-time algorithms for such cases. We show that the integer version of the problem - where plants are either fully on or off - is already NP-hard when the river network topology is a path graph. We provide a dynamic programming FPTAS in this case. We compare the results of our algorithms to baseline heuristics in simulation. © 2016 IEEE.

关键词： Cooling

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Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer (Dec, 10.1038/s41467-019-13824-9, 2022)

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NATURE COMMUNICATIONS 2022年第1期13卷 1-1页

作者： Sieverling, Lina Hong, Chen Koser, Sandra D. Ginsbach, Philip Kleinheinz, Kortine Hutter, Barbara Braun, Delia M. Cortes-Ciriano, Isidro Xi, Ruibin Kabbe, Rolf Park, Peter J. Eils, Roland Schlesner, Matthias Brors, Benedikt Rippe, Karsten Jones, David T. W. Feuerbach, Lars Division of Applied Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Faculty of Biosciences Heidelberg University 69120 Heidelberg Germany Division of Applied Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Biosciences Heidelberg University Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Department for Bioinformatics and Functional Genomics Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant 69120 Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Institute of Pharmacy and Molecular Biotechnology and BioQuant Heidelberg University Heidelberg Germany German Cancer Consortium (DKTK) Heidelberg Germany National Center for Tumor Diseases (NCT) Heidelberg Heidelberg Germany Heidelberg Center for Personalized Oncology (DKFZ-HIPO) German Cancer Research Center (DKFZ) Heidelberg Germany German Cancer Consortium (DKTK) German Cancer Research Center (DKFZ) Heidelberg Germany Division of Chromatin Networks German Cancer Research Center (DKFZ) and BioQuant 69120 Heidelberg Germany Department of Biomedical Informatics Harvard Medical School Boston Massachusetts 02115 USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge CB2 1EW UK Ludwig Center at Harvard Medical School Boston Massachusetts 02115 USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge UK Ludwig Center at Harvard Medical School Boston MA USA School of Mathematical Sciences and Center for Statistical Science Peking University Beijing 100871 China Heidelberg University Heidelberg Germany New BIH Digital Health Center Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin Berlin Germany Bioi

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Claims-to-patterns approach to leverage mobile interaction design for low-literacy users 16

Claims-to-patterns approach to leverage mobile interaction d...

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7th ACM Symposium on Computing for Development, ACM DEV 2016

作者： Belay, Elefelious G. McCrickard, D. Scott Besufekad, Solomon A. IT PhD Program/Faculty of Computing Addis Ababa University/Bahir Dar University Addis Ababa Bahir Dar Ethiopia Center of HCI and Department of Computer Science Virginia Tech BlacksburgVA United States Center for IT Research and Innovation IT PhD Program Addis Ababa University Addis Ababa Ethiopia

ISBN: (纸本)9781450346498

This paper presents a method to leverage mobile interaction design knowledge for low-literacy, moving from falsifiable hypotheses (claims) to actionable solutions (patterns). In prior work, claims and patterns have been used separately for different application areas and in different contexts. This research asserts that the transition from claims to patterns will enhance the design value, leveraging claims for uncertain situations and inexplicit user behavior and patterns for proven solutions for recurrent problems. This paper examines how these two structures can be combined in a claims-to-patterns approach to leverage mobile interaction design for low-literacy. To demonstrate this method, an example that highlights how claims evolve into patterns through research and design is discussed.

关键词： Behavioral research

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BHEL Smart Wall Blowing System: New Product Development in Manufacturing Industry

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Vikalpa 2021年第4期45卷 240 - 249页

作者： Abhishek Kumar R. Dhanuskodi R. Kaliappan K. Nandakumar Abhishek Kumar teaches design philosophies at Anant National University Ahmedabad. He earned his Ph.D in Management from Pondicherry University. He is an Economics graduate from Calcutta University and MBA from BIM Trichy. He has published more than 20 articles in reputed international journals has authored two books written articles and columns for newspapers and is quoted on issues related to leadership and marketing by various media platforms. His research work comprises construction of brand personality scale for media aesthetics and phenomenological design. His recent publications are on philosophy of a photograph hermeneutic reality of product and on philosophy of intimate spaces. R. Dhanuskodi has nearly 40 years of R&D experience at BHEL India in technical areas applicable for thermal power plants. He is a life member of The Institution of Engineers (India) and The Combustion Institute. He has won two BHEL’s Excel awards under the best author category for technical papers. He has visited France Netherlands and Germany under Indo-Europe Clean Coal Development Program. He has guided 42 UG PG and PhD project works. He holds 11 patents 40 copyrights and 2 design registrations. He has presented papers in 20 conferences and published in 10 national and international journals. R. Kaliappan completed his bachelors in electrical and electronics engineering and Masters in Computer Science. He has 36 years of research experience in different fields of power generation and power plant subsystems such as heat transfer studies on boiler circulation efficiency improvements of boiler subsystems product improvements/ enhancements and setting up test facilities for research studies. He has published a number of technical papers on MHD power generation and heat transfer studies in various national and international journals. He has more than 25 patents and copyrights on products development related to power boilers. He has won BHEL’S gold medal for product development for Smart Wall Blowing system. K. Nandakumar

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Task-driven convolutional recurrent models of the visual system

arXiv

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arXiv 2018年

作者： Nayebi, Aran Bear, Daniel Kubilius, Jonas Kar, Kohitij Ganguli, Surya Sussillo, David DiCarlo, James J. Yamins, Daniel L.K. Neurosciences PhD Program Stanford University StanfordCA94305 United States Department of Psychology Stanford University StanfordCA94305 United States Department of Computer Science Stanford University StanfordCA94305 United States Department of Applied Physics Stanford University StanfordCA94305 United States McGovern Institute for Brain Research MIT CambridgeMA02139 United States Department of Brain and Cognitive Sciences MIT CambridgeMA02139 United States Brain and Cognition KU Leuven Leuven Belgium Google Brain Google Inc. Mountain ViewCA94043 United States Wu Tsai Neurosciences Institute StanfordCA94305 United States

Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Further, they are quantitatively accurate models of temporally-averaged responses of neurons in the primate brain's visual system. However, biological visual systems have two ubiquitous architectural features not shared with typical CNNs: local recurrence within cortical areas, and long-range feedback from downstream areas to upstream areas. Here we explored the role of recurrence in improving classification performance. We found that standard forms of recurrence (vanilla RNNs and LSTMs) do not perform well within deep CNNs on the ImageNet task. In contrast, novel cells that incorporated two structural features, bypassing and gating, were able to boost task accuracy substantially. We extended these design principles in an automated search over thousands of model architectures, which identified novel local recurrent cells and long-range feedback connections useful for object recognition. Moreover, these task-optimized ConvRNNs matched the dynamics of neural activity in the primate visual system better than feedforward networks, suggesting a role for the brain's recurrent connections in performing difficult visual behaviors. Copyright © 2018, The Authors. All rights reserved.

关键词： Neurons

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Task-driven convolutional recurrent models of the visual system 18

Task-driven convolutional recurrent models of the visual sys...

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Proceedings of the 32nd International Conference on Neural Information Processing Systems

作者： Aran Nayebi Daniel Bear Jonas Kubilius Kohitij Kar Surya Ganguli David Sussillo James J. DiCarlo Daniel L. K. Yamins Neurosciences PhD Program Stanford University Stanford CA Department of Psychology Stanford University Stanford CA McGovern Institute for Brain Research MIT Cambridge MA and Brain and Cognition KU Leuven Leuven Belgium McGovern Institute for Brain Research MIT Cambridge MA and Google Brain Google Inc. Mountain View CA Department of Applied Physics Stanford University Stanford CA Google Brain Google Inc. Mountain View CA McGovern Institute for Brain Research MIT Cambridge MA and Department of Brain and Cognitive Sciences MIT Cambridge MA Department of Psychology Stanford University Stanford CA and Department of Computer Science Stanford University Stanford CA and Wu Tsai Neurosciences Institute Stanford CA

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Case study on requirements engineering in information mining project: Metallurgical enterprise 1

Case study on requirements engineering in information mining...

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Joint 1st International Workshop on Knowledge Requirements: Acquisition and Representation, KRAR 2016 and the 1st Regional Consortium for Computing sciences and Foundation, RCCS 2016

作者： Pollo-Cattaneo, M.F. Pesado, P. Britos, P. García-Martínez, R. PhD Program on Computer Science Computer Science School National University of La Plata Information System Methodologies Research Group Technological National University Buenos Aires Argentina School of Computer Science National University of La Plata Buenos Aires Argentina Information Mining Research Group National. Lab. ID + I in Visualization Computer Graphics and Creative Code University of Rio Negro at El Bolsón Río Negro Argentina Information Systems Research Group National University of Lanus Buenos Aires Argentina

There can be no debate that Information Mining Projects cause processing tools to arise with the sole purpose of converting available organization data into useful knowledge on account of decision-making. Considering the aforementioned, this type of projects demands due diligence in the requirement specification process, as the latter needs to be thorough and traceable throughout the entire project, and therefore, process associated with requirements engineering are not to be reused in any future projects among the like. Similarly, latest methodologies within the field of Information Mining fail to take practices associated to stakeholders and costumers' requirements management into account. With this aim in mind, a solution model to the Information Mining Project Management necessities is proposed. © 2016, CEUR-WS. All rights reserved.

关键词： Requirements engineering

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U.S. Veteran Health Care Utilization Increases after Caregivers' Use of National Caregiver Telephone Support Line (vol 42, pg e111, 2017)

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HEALTH & SOCIAL WORK 2017年第3期42卷 150-150页

作者： Griffin, Joan M. Malcolm, Cari Wright, Pamela Campbell, Emily Hagel Kabat, Margaret Bangerter, Ann K. Sayer, Nina A. Joan M. Griffin PhD is Robert D. and Patricia E. Kern scientific director Kern Center for the Science of Healthcare Delivery and associate professor Division of Health Care Policy and Research Mayo Clinic 200 1st Avenue SW Rochester MN 55905 e-mail: griffin.joan@mayo.edu. Cari Malcolm LCSW is caregiver support program management analyst and Pamela Wright BSE MSW LCSW-R is VA Caregiver Support Line national program manager Care Management and Social Work Services Veterans Health Administration Washington DC. Emily Hagel Campbell MS is a statistician Center for Chronic Disease Outcomes Research Minneapolis VA Health Care Systems. Margaret Kabat LCSW-C CCM is VA Caregiver Support Program national director Care Management and Social Work Services Veterans Health Administration Washington DC. Ann K. Bangerter BS is a computer scientist Center for Chronic Disease Outcomes Research Minneapolis VA Health Care Systems. Nina A. Sayer PhD is deputy director Center for Chronic Disease Outcomes Research Minneapolis VA Health Care Systems and associate professor of medicine and psychiatry University of Minnesota Minneapolis. This project was supported by the Department of Veterans Affairs Veterans Health Administration Office of Research and Development and the Polytrauma/Blast Related Quality Enhancement Research Initiative (PT/BRI QUERI QLP 56-011). The findings and conclusions presented in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs or the Office of Research and Development. Search for other works by this author on: Oxford Academic PubMed Google Scholar Joan M. Griffin PhD is Robert D. and Patricia E. Kern scientific director Kern Center for the Science of Healthcare Delivery and associate professor Division of Health Care Policy and Research Mayo Clinic 200 1st Avenue SW Rochester MN 55905 e-mail: griffin.joan@mayo.edu. Cari Malcolm LCSW is caregiver support program management analyst and Pamela

The U.S. Department of Veterans Affairs (VA) established the national Caregiver Support Line (CSL) in February 2011. The CSL is operated by licensed master’s degree social workers who provide caregivers of veterans with information about caregiver benefits and services, counseling, and referrals to a caregiver support coordinator at the nearest VA medical center. The authors compared differences in veteran health care utilization patterns in the six months before and after a caregiver call to the CSL, hypothesizing that veterans with caregivers using the CSL had improved access to health care services and improved access increased utilization of health care. A pre- and posttest design was used. CSL calls that resulted in referrals to VA health care services or to local VA caregiver support coordinators were included in the sample. Data were extracted from the CSL database and matched to veteran care utilization data using veteran medical record data. Veteran inpatient stays for general medicine, hospice, respite, and long-term care significantly increased after the CSL call, but other inpatient stays (surgery, neurology) did not. Outpatient services for home health, respite, and mental health all significantly increased. Caregivers’ use of the national CSL may help facilitate access for veterans to needed care services.

关键词： access to care caregivers health care utilization telephone support lines veterans

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