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The unintended consequences of inconsistent pandemic control policies

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arXiv 2020年

作者： Althouse, Benjamin M. Wallace, Brendan Case, Brendan Scarpino, Samuel V. Berdahl, Andrew M. White, Easton R. Hébert-Dufresne, Laurent Institute for Disease Modeling BellevueWA98005 United States University of Washington SeattleWA98105 United States New Mexico State University Las CrucesNM88003 United States Department of Applied Mathematics University of Washington SeattleWA98195 United States Department of Computer Science University of Vermont BurlingtonVT05405 United States Vermont Complex Systems Center University of Vermont BurlingtonVT05405 United States Network Science Institute Northeastern University BostonMA United States ISI Foundation Turin Italy Santa Fe Institute Santa FeNM United States School of Aquatic & Fishery Sciences University of Washington SeattleWA98195 United States Department of Biology University of Vermont BurlingtonVT05405 United States Gund Institute for Environment University of Vermont BurlingtonVT05405 United States

Controlling the spread of COVID-19 – even after a licensed vaccine is available – requires the effective use of non-pharmaceutical interventions, e.g., physical distancing, limits on group sizes, mask wearing, etc.. To date, such interventions have neither been uniformly nor systematically implemented in most countries. For example, even when under strict stay-at-home orders, numerous jurisdictions granted exceptions and/or were in close proximity to locations with entirely different regulations in place. Here, we investigate the impact of such geographic inconsistencies in epidemic control policies by coupling search and mobility data to a simple mathematical model of SARS-COV2 transmission. Our results show that while stay-at-home orders decrease contacts in most areas of the United States of America (US), some specific activities and venues often see an increase in attendance. Indeed, over the month of March 2020, between 10 and 30% of churches in the US saw increases in attendance;even as the total number of visits to churches declined nationally. This heterogeneity, where certain venues see substantial increases in attendance while others close, suggests that closure can cause individuals to find an open venue, even if that requires longer-distance travel. And, indeed, the average distance travelled to churches in the US rose by 13% over the same period. Strikingly, our mathematical model reveals that, across a broad range of model parameters, partial measures can often be worse than no measures at all. In the most severe cases, individuals not complying with policies by traveling to neighboring jurisdictions can create epidemics when the outbreak would otherwise have been controlled. Taken together, our data analysis and modelling results highlight the potential unintended consequences of inconsistent epidemic control policies and stress the importance of balancing the societal needs of a population with the risk of an outbreak growing into a large epidemic. C

关键词： SARS

Biophysical analysis of silver nanoparticles prepared by green synthesis and their use for 3D printing of antibacterial material for health care

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Biophysical analysis of silver nanoparticles prepared by gre...

2019 IEEE International Conference on Sensors and Nanotechnology, SENSORS and NANO 2019

作者： Sehnal, Karel Gargulak, Michael Ofomaja, Augustine Enakpodia Stankova, Martina Hosnedlova, Bozena Fernandez, Carlos Docekalova, Michaela Sochor, Jiri Kepinska, Marta Tothova, Zuzana Bach, Duong Ngoc Kizek, Rene Uhlirova, Dagmar Nguyen, Hoai Viet Institute of Viticulture and Wine Production Faculty of Horticulture Valtická 337 Lednice691 44 Czech Republic Department of Human Pharmacology and Toxicology Faculty of Pharmacy University of Veterinary and Pharmaceutical Sciences Brno Palackeho 1946/1 Brno612 42 Czech Republic Biosorption and Wastewater Treatment Research Laboratory Department of Chemistry Faculty of Applied and Computer Sciences Vaal University of Technology P. Bag X021 Vanderbijlpark1900 South Africa Department of Research and Development Prevention Medicals Tovární 342 Studénka-Butovice742 13 Czech Republic School of Pharmacy and Life Sciences Robert Gordon University Garthdee Road Aberdeen AbeerdeenAB10 7QB United Kingdom Department of Biomedical and Environmental Analyses Faculty of Pharmacy Division of Laboratory Medicine Wroclaw Medical University Borowska 211 Wroclaw50-556 Poland Research Center for Environmental Monitoring and Modeling VNU University of Science Hanoi Viet Nam

ISBN: (纸本)9781538656198

The resistance of microorganisms to antibiotics is growing steadily. The development of new antibacterial agents is highly topical. Metal nanoparticles have shown significant antibacterial activity similar to the plant/animal materials used in traditional medicine. The study focuses on the synthesis of silver nanoparticles (AgNPs) modified with biomolecules from used plant extracts (T. serpyllum, S. officinalis, T. pratense). The obtained nanoparticles were studied in detail by physicochemical methods. In addition, they were deposited on acrylonitrile butadiene styrene (ABS). We created unique antibacterial material using 3D printing. 20?40% inhibition of S. aureus and E. coli was observed in the evaluation of their efficacy. © 2019 IEEE.

关键词： Silver nanoparticles

Correction: CEPC Technical Design Report: Accelerator

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Radiation Detection Technology and Methods 2024年第1期9卷 184-192页

作者： Abdallah, Waleed de Freitas, Tiago CarlosAdorno Afanaciev, Konstantin Ahmad, Shakeel Ahmed, Ijaz Ai, Xiaocong Aleem, Abid Altmannshofer, Wolfgang Alves, Fabio An, Weiming An, Rui Anderle, Daniele Paolo Antusch, Stefan Arai, Yasuo Arbuzov, Andrej Arhrib, Abdesslam Ashry, Mustafa Bai, Sha Bai, Yu Bai, Yang Bairathi, Vipul Balazs, Csaba Bambade, Philip Ban, Yong Bandyopadhyay, Triparno Bao, Shou-Shan Barber, Desmond P. Bat, Ays¸e Batozskaya, Varvara Behera, Subash Chandra Belyaev, Alexander Bertucci, Michele Bi, Xiao-Jun Bi, Yuanjie Bian, Tianjian Bianchi, Fabrizio Bieko¨tter, Thomas Biglietti, Michela Bilanishvili, Shalva Binglin, Deng Bodrov, Denis Bogomyagkov, Anton Bondarenko, Serge Boogert, Stewart Boonekamp, Maarten Borri, Marcello Bosotti, Angelo Boudry, Vincent Boukidi, Mohammed Boyko, Igor Bozovic, Ivanka Bozzi, Giuseppe Brient, Jean-Claude Budzinskaya, Anastasiia Bukhari, Masroor Bytev, Vladimir Cacciapaglia, Giacomo Cai, Hua Cai, Wenyong Cai, Wujun Cai, Yijian Cai, Yizhou Cai, Yuchen Cai, Haiying Cai, Huacheng Calibbi, Lorenzo Cang, Junsong Cao, Guofu Cao, Jianshe Chance, Antoine Chang, Xuejun Chang, Yue Chang, Zhe Chang, Xinyuan Chao, Wei Chatrabhuti, Auttakit Che, Yimin Che, Yuzhi Chen, Bin Chen, Danping Chen, Fuqing Chen, Fusan Chen, Gang Chen, Guoming Chen, Hua-Xing Chen, Huirun Chen, Jinhui Chen, Ji-Yuan Chen, Kai Chen, Mali Chen, Mingjun Chen, Mingshui Chen, Ning Chen, Shanhong Chen, Shanzhen Chen, Shao-Long Chen, Shaomin Chen, Shiqiang Chen, Tianlu Chen, Wei Chen, Xiang Chen, Xiaoyu Chen, Xin Chen, Xun Chen, Xurong Chen, Ye Chen, Ying Chen, Yukai Chen, Zelin Chen, Zilin Chen, Boping Chen, Chunhui Cheng, Hok Chuen Cheng, Huajie Cheng, Shan Cheng, Tongguang Chi, Yunlong Chimenti, Pietro Chiu, Wen Han Cho, Guk Chu, Ming-Chung Chu, Xiaotong Chu, Ziliang Coloretti, Guglielmo Crivellin, Andreas Cui, Hanhua Cui, Xiaohao Cui, Zhaoyuan D’Anzi, Brunella Dai, Ling-Yun Dai, Xinchen Dai, Xuwen De Maria, Antonio De Filippis, Nicola De La Taille, Christophe De Mori, Francesca De Sio, Chiara Del Core, Elisa Deng, Cairo University Giza Egypt Xi’an Jiaotong-Liverpool University Suzhou China Institute of Power Engineering of National Academy of Sciences of Belarus Minsk Belarus Pakistan Institute of Nuclear Science and Technology (PINSTECH) Islamabad Pakistan Applied Physics Department Science and Technology Federal Urdu University of Arts Islamabad Pakistan Zhengzhou University Zhengzhou China Institute of High Energy Physics Chinese Academy of Sciences Beijing China University of California Santa Cruz Santa Cruz USA Nanjing University Nanjing China Beijing Normal University Beijing China Harvard University Cambridge USA South China Normal University Guangzhou China University of Basel Basel Switzerland High Energy Accelerator Research Organization (KEK) Tsukuba Japan Joint Institute for Nuclear Research Dubna Russia Faculty of Sciences and Techniques Université Abdelmalek Essaadi Tangier Morocco Southeast University Nanjing China Department of Physics University of Wisconsin–Madison Madison USA Instituto de Alta Investigación Universidad de Tarapacá Arica Chile Monash University Melbourne Australia Laboratoire de Physique des 2 infinis Irène Joliot-Curie – IJCLab Orsay France Peking University Beijing China Department of Physics and Nanotechnology SRM Institute of Science and Technology Kattankulathur India Shandong University Jinan China University of New Mexico Albuquerque USA Bandirma Onyedi Eylul University Bandırma Turkey National Centre for Nuclear Research Warsaw Poland Indian Institute of Technology Madras (IN) Chennai India University of Southampton Southampton UK INFN Milano - LASA Segrate Italy Sun Yat-Sen University Guangzhou China China Institute of Atomic Energy Beijing China INFN-University of Torino Turin Italy Karlsruhe Institute of Technology Institute for Theoretical Physics Karlsruhe Germany INFN-Sezione di Roma Tre Rome Italy Kutaisi International University Kutaisi Georgia Soochow University Suzhou China Budker Institute

One pathogen does not an epidemic make: A review of interacting contagions, diseases, beliefs, and stories

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arXiv 2025年

作者： Hébert-Dufresne, Laurent Ahn, Yong-Yeol Allard, Antoine Crothers, Jessica W. Dodds, Peter Sheridan Galesic, Mirta Ghanbarnejad, Fakhteh Gravel, Dominique Hammond, Ross A. Lerman, Kristina Lovato, Juniper Openshaw, John J. Redner, S. Scarpino, Samuel V. St-Onge, Guillaume Tangherlini, Timothy R. Young, Jean-Gabriel Vermont Complex Systems Institute University of Vermont BurlingtonVT United States Translational Global Infectious Disease Research Center University of Vermont BurlingtonVT United States Department of Computer Science University of Vermont BurlingtonVT United States Center for Complex Networks and Systems Research Luddy School of Informatics Computing and Engineering Indiana University BloomingtonIN United States Département de physique de génie physique et d’optique Université Laval QuébecQC Canada Department of Pathology and Laboratory Medicine Robert Larner M.D. College of Medicine University of Vermont BurlingtonVT United States Santa Fe Institute Santa FeNM United States Complexity Science Hub Vienna Austria School of Technology and Architecture SRH University of Applied Sciences Heidelberg Leipzig Germany Département de biologie Université de Sherbrooke SherbrookeQC Canada Brown School Washington University in St. Louis St. LouisMO United States The Brookings Institution WashingtonDC United States Information Sciences Institute University of Southern California United States Division of Infectious Diseases and Geographic Medicine Stanford University StanfordCA United States Institute for Experiential AI Northeastern University BostonMA United States Laboratory for the Modeling of Biological and Socio-technical Systems Northeastern University BostonMA United States The Roux Institute Northeastern University PortlandME United States Department of Scandinavian School of Information University of California Berkeley BerkeleyCA United States Department of Mathematics & Statistics University of Vermont BurlingtonVT United States

From pathogens and computer viruses to genes and memes, contagion models have found widespread utility across the natural and social sciences. Despite their success and breadth of adoption, the approach and structure of these models remain surprisingly siloed by field. Given the siloed nature of their development and widespread use, one persistent assumption is that a given contagion can be studied in isolation, independently from what else might be spreading in the population. In reality, countless contagions of biological and social nature interact within hosts (interacting with existing beliefs, or the immune system) and across hosts (interacting in the environment, or affecting transmission mechanisms). Additionally, from a modeling perspective, we know that relaxing these assumptions has profound effects on the physics and translational implications of the models. Here, we review mechanisms for interactions in social and biological contagions, as well as the models and frameworks developed to include these interactions in the study of the contagions. We highlight existing problems related to the inference of interactions and to the scalability of mathematical models and identify promising avenues of future inquiries. In doing so, we highlight the need for interdisciplinary efforts under a unified science of contagions and for removing a common dichotomy between social and biological contagions. Copyright © 2025, The Authors. All rights reserved.

关键词： Histology

Spectral structure of the Neumann–Poincaré operator on tori

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arXiv 2018年

作者： Ando, Kazunori Ji, Yong-Gwan Kang, Hyeonbae Kawagoe, Daisuke Miyanishi, Yoshihisa Department of Electrical and Electronic Engineering and Computer Science Ehime University Ehime790-8577 Japan Department of Mathematics Institute of Applied Mathematics Inha University Incheon22212 Korea Republic of Center for Mathematical Modeling and Data Science Osaka University Osaka560-8531 Japan

We address the question whether there is a three-dimensional bounded domain such that the Neumann–Poincaré operator defined on its boundary has infinitely many negative eigenvalues. It is proved in this paper that tori have such a property. It is done by decomposing the Neumann–Poincaré operator on tori into infinitely many self-adjoint compact operators on a Hilbert space defined on the circle using the toroidal coordinate system and the Fourier basis, and then by proving that the numerical range of infinitely many operators in the decomposition has both positive and negative values.47A45, 31B25 Copyright © 2018, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

3D-printed CdTe QDs-based sensor for sensitive electrochemical detection of viral particles

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3D-printed CdTe QDs-based sensor for sensitive electrochemic...

2019 IEEE International Conference on Sensors and Nanotechnology, SENSORS and NANO 2019

作者： Gargulak, Michael Docekalova, Michaela Kepinska, Marta Sehnal, Karel Ofomaja, Augustine Enakpodia Milnerowicz, Halina Hosnedlova, Bozena Stankova, Martina Fernandez, Carlos Hoai, Nguyien Viet Uhlirova, Dagmar Vasickova, Petra Kizek, Rene Department of Human Pharmacology and Toxicology Faculty of Pharmacy University of Veterinary and Pharmaceutical Sciences Brno Palackeho 1946/1 Brno Brno612 42 Czech Republic Department of Research and Development Prevention Medicals Tovární 342 Studénka-Butovice742 13 Czech Republic Department of Biomedical and Environmental Analyses Faculty of Pharmacy Division of Laboratory Medicine Wroclaw Medical University Borowska 211 Wroclaw50-556 Poland Biosorption and Wastewater Treatment Research Laboratory Department of Chemistry Faculty of Applied and Computer Sciences Vaal University of Technology P. Bag X021 Vanderbijlpark1900 South Africa School of Pharmacy and Life Sciences Robert Gordon University Garthdee Road Aberdeen AbeerdeenAB10 7QB United Kingdom Research Center for Environmental Monitoring and Modeling VNU University of Science 332 Nguyen Trai street Thanh Xuan district Hanoi Viet Nam Department of Food and Feed Safety Veterinary Research Institute Hudcova 70 Brno621 00 Czech Republic

ISBN: (纸本)9781538656198

Preventing the spread of dangerous viral diseases such as flu, Ebola or HIV requires rapid and effective diagnostic approaches to detect these diseases at an early stage. Quantum dots (QDs) are nanocrystals that exhibit a variety of unique properties and are suitable for biomolecule labelling due to their high stability, ease of preparation, and biocompatibility. Modified QDs can be used to label nucleic acids or antibodies. Green synthesis method of QDs provides a platform for preparation of unique materials with new chemical or physical properties as compared to the original material. In this work, CdTe QDs were produced in the presence of plant extract which acted as a modifying agent. The Zea mays extract was added during the CdTe QDs synthesis at different time intervals and CdTe QDs showed a wide range of colors. The stability of the prepared QDs, including their application onto paper, was evaluated. The QDs were observed to show a remarkable electrochemical response for sensor applications and were also employed to label virus-specific antibody. The entire procedure was miniaturized and the viral particles were analyzed in a 3D-printed chip. © 2019 IEEE.

关键词： Antibodies

Design of a UWB coplanar fed antenna for biomedical applications 15

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Design of a UWB coplanar fed antenna for biomedical applicat...

15th International Industrial Simulation Conference, ISC 2017

作者： Hamza, Benchakroun Zakaria, Mahlaoui Adnane, Latif Manuel, Henrique Laboratory of Technology of Information and Modeling National Scho Ol of Applied Sciences Marrakech Morocco Department of Electrical and Computer Engineering INESC TEC -INESC Science and Technology University of Porto Portugal

ISBN: (纸本)9789077381984

In this paper, a new ultra-wide band planar antenna is presented for microwave imaging, the antenna is designed to operate in a frequency band from 2.9 GHz to 10.8 GHz. The antenna was designed to be adaptable for multi-viewing imaging due to it simple form, low cost and ease to be manufactured. The paper features results of the simulation the new ultra large band antenna and a performance comparison whit other UWB antennas. © 2017 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Antenna feeders

Ontological Analysis and Redesign of Risk modeling in ArchiMate

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Ontological Analysis and Redesign of Risk Modeling in ArchiM...

International Conference on Enterprise Distributed Object Computing (EDOC)

作者： Tiago Prince Sales João Paulo Andrade Almeida Sebastiano Santini Fernanda Baião Giancarlo Guizzardi Department of Information Engineering and Computer Science (DISI) University of Trento Italy Ontology & Conceptual Modeling Research Group (NEMO) Federal University of Espírito Santo Vitória Brazil Conceptual and Cognitive Modeling Research Group (CORE) Free University of Bozen-Bolzano Italy Department of Applied Informatics Federal University of the State of Rio de Janeiro (UNIRIO) Brazil

Risk analysis is a complex and critical activity in various contexts, ranging from strategic planning to IT systems operation. Given its complexity, several Enterprise Architecture (EA) frameworks and modeling languages have been developed to help analysts in representing and analyzing risks. Yet, the notion of risk remains overloaded and conceptually unclear in most of them. In this paper, we investigate the real-world semantics underlying risk-related constructs in one of such approaches, namely ArchiMate's Risk and Security Overlay (RSO). We perform this investigation by means of ontological analysis to reveal semantic limitations in the overlay, such as ambiguity and missing constructs. Building on the results of this analysis, we propose a well-founded redesign of the risk modeling aspects of the RSO.

关键词： Security Organizations Ontologies Risk management Analytical models Semantics

Supernova model discrimination with Hyper-Kamiokande

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arXiv 2021年

作者： Abe, K. Adrich, P. Aihara, H. Akutsu, R. Alekseev, I. Ali, A. Ameli, F. Anghel, I. Anthony, L.H.V. Antonova, M. Araya, A. Asaoka, Y. Ashida, Y. Aushev, V. Ballester, F. Bandac, I. Barbi, M. Barker, G.J. Barr, G. Batkiewicz-Kwasniak, M. Bellato, M. Berardi, V. Bergevin, M. Bernard, L. Bernardini, E. Berns, L. Bhadra, S. Bian, J. Blanchet, A. Blaszczyk, F.D.M. Blondel, A. Boiano, A. Bolognesi, S. Bonavera, L. Booth, N. Borjabad, S. Boschi, T. Bose, D. Boyd, S.B. Bozza, C. Bravar, A. Bravo-Berguño, D. Bronner, C. Brown, L. Bubak, A. Buchowicz, A. Avanzini, M. Buizza Cafagna, F.S. Calabria, N.F. Calvo-Mozota, J.M. Cao, S. Cartwright, S.L. Carroll, A. Catanesi, M.G. Cebriàn, S. Chabera, M. Chakraborty, S. Checchia, C. Choi, J.H. Choubey, S. Cicerchia, M. Coleman, J. Collazuol, G. Cook, L. Cowan, G. Cuen-Rochin, S. Danilov, M. Lopez, G. Daz de la Fuente, E. de Perio, P. de Rosa, G. Dealtry, T. Densham, C.J. Dergacheva, A. Deshmukh, N. Devi, M.M. Di Lodovico, F. Di Meo, P. Di Palma, I. Doyle, T.A. Drakopoulou, E. Drapier, O. Dumarchez, J. Dunne, P. Dziewiecki, M. Eklund, L. El Hedri, S. Ellis, J. Emery, S. Esmaili, A. Esteve, R. Evangelisti, A. Feely, M. Fedotov, S. Feng, J. Fernandez, P. Fernández-Martinez, E. Ferrario, P. Ferrazzi, B. Feusels, T. Finch, A. Finley, C. Fiorentini, A. Fiorillo, G. Fitton, M. Frankiewicz, K. Friend, M. Fujii, Y. Fukuda, Y. Galinski, G. Gao, J. Garde, C. Garfagnini, A. Garode, S. Gialanella, L. Giganti, C. Gomez-Cadenas, J.J. Gonin, M. González-Nuevo, J. Gorin, A. Gornea, R. Gousy-Leblanc, V. Gramegna, F. Grassi, M. Grella, G. Guigue, M. Gumplinger, P. Hadley, D.R. Harada, M. Hartfiel, B. Hartz, M. Hassani, S. Hastings, N.C. Hayato, Y. Hernando-Morata, J.A. Herrero, V. Hill, J. Hiraide, K. Hirota, S. Holin, A. Horiuchi, S. Hoshina, K. Hultqvist, K. Iacob, F. Ichikawa, A.K. Ibnsalih, W. Idrissi Iijima, T. Ikeda, M. Inomoto, M. Inoue, K. Insler, J. Ioannisian, A. Ishida, T. Ishidoshiro, K. AGH University of Science and Technology Faculty of Computer Science Electronics and Telecommunications Krakow Poland Boston University Department of Physics BostonMA United States University of British Columbia Department of Physics and Astronomy VancouverBC Canada British Columbia Institute of Technology Physics Department BurnabyBC Canada Università della Campania L. Vanvitelli INFN Sezione di Napoli Napoli Italy Carleton University Department of Physics OttawaON Canada University of California Davis Department of Physics DavisCA United States University of California Irvine Department of Physics and Astronomy IrvineCA United States California State University Department of Physics CarsonCA United States Charles University IPNP FMF Prague Czech Republic Chonnam National University Department of Physics Gwangju Korea Republic of Dongshin University Laboratory for High Energy Physics Naju Korea Republic of Donostia International Physics Center Ikerbasque Foundation Basque Country Spain Ecole Polytechnique IN2P3-CNRS Laboratoire Leprince-Ringuet Palaiseau France University of Edinburgh School of Physics and Astronomy Edinburgh United Kingdom ETH Zurich Institute for Particle and Astroparticle Physics Zurich Switzerland University of Geneva Section de Physique DPNC Geneva Switzerland GIST College Gwangju Institute of Science and Technology Gwangju Korea Republic of University of Glasgow School of Physics and Astronomy Glasgow United Kingdom Universidad de Guadalajara CUCEI Departamento de Fisica Jal Guadalajara Mexico Universidad de Guadalajara CUCEA IT.Ph.D. program Jal Guadalajara Mexico H. Niewodniczá nski Institute of Nuclear Physics PAN Cracow Poland University of Hawaii Department of Physics and Astronomy HonoluluHI United States Imperial College London Department of Physics London United Kingdom Indian Institute of Technology Guwahati Guwahati India Indian Institute of Technology Jodhpur Department of Physics Raj

Core-collapse supernovae are among the most magnificent events in the observable universe. They produce many of the chemical elements necessary for life to exist and their remnants-neutron stars and black holes-are interesting astrophysical objects in their own right. However, despite millennia of observations and almost a century of astrophysical study, the explosion mechanism of core-collapse supernovae is not yet well understood. Hyper-Kamiokande is a next-generation neutrino detector that will be able to observe the neutrino flux from the next galactic core-collapse supernova in unprecedented detail. We focus on the first 500 ms of the neutrino burst, corresponding to the accretion phase, and use a newly-developed, high-precision supernova event generator to simulate Hyper-Kamiokande's response to five different supernova models. We show that Hyper-Kamiokande will be able to distinguish between these models with high accuracy for a supernova at a distance of up to 100 kpc. Once the next galactic supernova happens, this ability will be a powerful tool for guiding simulations towards a precise reproduction of the explosion mechanism observed in nature. Copyright © 2021, The Authors. All rights reserved.

关键词： Supernovae