检索结果-内蒙古大学图书馆

arXiv 2020年

作者： Zhou, Tao Liu, Quanhui Yang, Zimo Liao, Jingyi Yang, Kexin Bai, Wei Lu, Xin Zhang, Wei Big Data Research Center University of Electronic Science and Technology of China Chengdu611731 China College of Computer Science Sichuan University Chengdu610065 China Beijing AiQiYi Science & Technology Co. Ltd. Beijing100080 China Shenzhen International Graduate School Tsinghua University Shenzhen518055 China CompleX Lab University of Electronic Science and Technology of China Chengdu611731 China College of Systems Engineering National University of Defense Technology Changsha410073 China West China Biomedical Big Data Center West China Hospital Sichuan University Chengdu610047 China

Objectives: To estimate the basic reproduction number of the Wuhan novel coronavirus (2019-nCoV). Methods: Based on the susceptible-exposed-infected-removed (SEIR) compartment model and the assumption that the infectious cases with symptoms occurred before 26 January, 2020 are resulted from free propagation without intervention, we estimate the basic reproduction number of 2019-nCoV according to the reported confirmed cases and suspected cases, as well as the theoretical estimated number of infected cases by other research teams, together with some epidemiological determinants learned from the severe acute respiratory syndrome. Results: The basic reproduction number fall between 2.8 to 3.3 by using the real-time reports on the number of 2019-nCoV infected cases from People's Daily in China and fall between 3.2 and 3.9 on the basis of the predicted number of infected cases from international colleagues. Using a newly reported epidemiological determinants for early 2019-nCoV, the estimated basic reproduction number is in the range [2.2,3.0]. Conclusions: The early transmission ability of 2019-nCoV is close to or slightly higher than SARS. It is a controllable disease with moderate-high transmissibility. Timely and effective control measures are needed to suppress the further transmissions. Copyright © 2020, The Authors. All rights reserved.

关键词： Coronavirus

来源：评论

学校读者我要写书评

暂无评论

Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

arXiv

引用

arXiv 2024年

作者： Evans, Matthew L. Bergsma, Johan Merkys, Andrius Andersen, Casper W. Andersson, Oskar B. Beltrán, Daniel Blokhin, Evgeny Boland, Tara M. Balderas, Rubén Castañeda Choudhary, Kamal Díaz, Alberto Díaz García, Rodrigo Domínguez Eckert, Hagen Eimre, Kristjan Montero, María Elena Fuentes Krajewski, Adam M. Mortensen, Jens Jørgen Duarte, José Manuel Nápoles Pietryga, Jacob Qi, Ji de Jesús Trejo Carrillo, Felipe Vaitkus, Antanas Yu, Jusong Zettel, Adam de Castro, Pedro Baptista Carlsson, Johan Cerqueira, Tiago F.T. Divilov, Simon Hajiyani, Hamidreza Hanke, Felix Jose, Kevin Oses, Corey Riebesell, Janosh Schmidt, Jonathan Winston, Donald Xie, Christen Yang, Xiaoyu Bonella, Sara Botti, Silvana Curtarolo, Stefano Draxl, Claudia Cobas, Luis Edmundo Fuentes Hospital, Adam Liu, Zi-Kui Marques, Miguel A.L. Marzari, Nicola Morris, Andrew J. Ong, Shyue Ping Orozco, Modesto Persson, Kristin A. Thygesen, Kristian S. Wolverton, Chris Scheidgen, Markus Toher, Cormac Conduit, Gareth J. Pizzi, Giovanni Gražulis, Saulius Rignanese, Gian-Marco Armiento, Rickard Chemin des Étoiles 8 Louvain-la-Neuve1348 Belgium Matgenix SRL 185 Rue Armand Bury Gozée6534 Belgium École Polytechnique Fédérale de Lausanne Avenue de Forel 3 Lausanne1015 Switzerland Institute of Biotechnology Life Sciences Center Vilnius University Sauletekio av. 7 VilniusLT-10257 Lithuania SINTEF P.O. Box 4760 Torgarden TrondheimNO-7465 Norway Materials Design and Informatics unit Department of Physics Chemistry and Biology Linköping University Sweden Baldiri i Reixac 10-12 Barcelona08028 Spain Tilde Materials Informatics Straßmannstraße 25 Berlin10249 Germany Materials Platform for Data Science Sepapaja 6 Tallinn15551 Estonia Computational Atomic-Scale Materials Design Technical University of Denmark Kgs. Lyngby Denmark Av. Miguel de Cervantes 120 Complejo Industrial Chihuahua Chihuahua Chih. 31136 Mexico Material Measurement Laboratory National Institute of Standards and Technology GaithersburgMD20899 United States Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Center for Extreme Materials Duke University DurhamNC27708 United States École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Universidad Autónoma de Chihuahua Facultad de Ciencias Quimicas Chihuahua31125 Mexico Department of Materials Science and Engineering The Pennsylvania State University University ParkPA16802 United States Department of Materials Science and Engineering Northwestern University EvanstonIL60208 United States Department of NanoEngineering University of California 9500 Gilman Drive La Jolla San DiegoCA92093-0448 United States National Institute for Materials Science 1-2-1 Sengen Ibaraki Tsukuba305-0047 Japan Dassault Systèmes Germany GmbH Am Kabellager 11-13 Cologne51063 Germany CFisUC Department of Physics University of Coimbra Rua Larga Coimbra3004-516 Portugal Dassault Systèmes 22 Science Park CB4 0FJ United Kingdom Theory of Condensed Matter Cavendis

The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and chemical data. Since the first release of the OPTIMADE specification (v1.0), the API has undergone significant development, leading to the v1.2 release, and has underpinned multiple scientific studies. In this work, we highlight the latest features of the API format, accompanying software tools, and provide an update on the implementation of OPTIMADE in contributing materials databases. We end by providing several use cases that demonstrate the utility of the OPTIMADE API in materials research that continue to drive its ongoing development. © 2024, CC BY.

关键词： Electronic data interchange

来源：评论

学校读者我要写书评

暂无评论

Eight-dimensional polarization-ring-switching modulation formats

arXiv

引用

arXiv 2019年

作者： Chen, Bin Okonkwo, Chigo Hafermann, Hartmut Alvarado, Alex School of Computer and Information Engineering Hefei University of Technology Hefei China Eindhoven University of Technology 5600 MB Eindhoven Netherlands Institute for Photonic Integration Eindhoven University of Technology 5600 MB Eindhoven Netherlands Information and Communication Theory Lab Signal Processing Systems Group Department of Electrical Engineering Eindhoven University of Technology 5600 MB Eindhoven Netherlands Optical Communication Technology Lab Paris Research Center Huawei Technologies France SASU Boulogne-Billancourt92100 France

We propose two 8-dimensional (8D) modulation formats (8D-2048PRS-T1 and 8D-2048PRS-T2) with a spectral efficiency of 5.5 bit/4D-sym, where the 8 dimensions are obtained from two time slots and two polarizations. Both formats provide a higher tolerance to nonlinearity by selecting symbols with nonidentical states of polarization (SOPs) in two time slots. The performance of these novel 8D modulation formats is assessed in terms of the effective signal-to-noise ratio (SNR) and normalized generalized mutual information. 8D-2048PRS-T1 is more suitable for high SNRs, while 8D-2048PRS-T2 is shown to be more tolerant to nonlinearities. A sensitivity improvement of at least 0.25 dB is demonstrated by maximizing normalized generalized mutual information (NGMI). For a long-haul nonlinear optical fiber transmission system, the benefit of mitigating the nonlinearity is demonstrated and a reach increase of 6.7% (560 km) over time-domain hybrid four-dimensional two-amplitude eight-phase shift keying (TDH-4D-2A8PSK) is observed. Copyright © 2019, The Authors. All rights reserved.

关键词： Polarization

来源：评论

学校读者我要写书评

暂无评论

Towards fair and decentralized privacy-preserving deep learning with blockchain

arXiv

引用

arXiv 2019年

作者： Lyu, Lingjuan Yu, Jiangshan Nandakumar, Karthik Li, Yitong Ma, Xingjun Jin, Jiong Research School of Computer Science Australian National University ACT2601 Australia Faculty of Information Technology Monash University ClaytonMO Australia IBM Singapore Lab 018983 Singapore School of Computing and Information Systems University of Melbourne MelbourneVIC3010 Australia School of Software and Electrical Engineering Swinburne University of Technology MelbourneVIC Australia

In collaborative deep learning, current learning frameworks follow either a centralized architecture or a distributed architecture. Whilst centralized architecture deploys a central server to train a global model over the massive amount of joint data from all parties, distributed architecture aggregates parameter updates from participating parties' local model training, via a parameter server. These two server-based architectures present security and robustness vulnerabilities such as singlepoint-of-failure, single-point-of-breach, privacy leakage, and lack of fairness. To address these problems, we design, implement, and evaluate a purely decentralized privacy-preserving deep learning framework, called DPPDL. DPPDL makes the first investigation on the research problem of fairness in collaborative deep learning, and simultaneously provides fairness and privacy by proposing two novel algorithms: initial benchmarking and privacy-preserving collaborative deep learning. During initial benchmarking, each party trains a local Differentially Private Generative Adversarial Network (DPGAN) and publishes the generated privacy-preserving artificial samples for other parties to label, based on the quality of which to initialize local credibility list for other parties. The local credibility list reflects how much one party contributes to another party, and it is used and updated during collaborative learning to ensure fairness. To protect gradients transaction during privacy-preserving collaborative deep learning, we further put forward a three-layer onionstyle encryption scheme. We experimentally demonstrate, on benchmark image datasets, that accuracy, privacy and fairness in collaborative deep learning can be effectively addressed at the same time by our proposed DPPDL framework. Moreover, DPPDL provides a viable solution to detect and isolate the cheating party in the system. Copyright © 2019, The Authors. All rights reserved.

关键词： Benchmarking

来源：评论

学校读者我要写书评

暂无评论

The application of an extracellular vesicle-based biosensor in early diagnosis and prediction of chemoresponsiveness in ovarian cancer

引用

Cancer Letters 2024年 581卷 216533-216533页

作者： Tsang, Benjamin K. Asare-Werehene, Meshach Hunter, Rob Gerber, Emma Reunov, Arkadiy Brine, Isaiah Chang, Chia-Yu Chang, Chia-Ching Shieh, Dar-Bin Burger, Dylan Anis, Hanan Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine Centre for Infection Immunity and Inflammation Interdisciplinary School of Health Sciences University of Ottawa Ottawa ON K1N 6N5 Canada Chronic Disease Program Ottawa Hospital Research Institute The Ottawa Hospital Ottawa ON K1Y 4E9 Canada Department of Biology St. Francis Xavier University 2320 Notre Dame Avenue Antigonish NS B2G 2W5 Canada School of Electrical Engineering and Computer Science Ottawa-Carleton Institute for Biomedical Engineering University of Ottawa Ottawa ON K1N 6N5 Canada Department of Biological Science and Department of Electrophysics Technology Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu 30068 Taiwan Institute of Basic Medical Science Institute of Oral Medicine and Department of Stomatology Advanced Optoelectronic Technology Center and Center for Micro/Nano Science and Technology National Cheng Kung University Hospital National Cheng Kung University Tainan 704 Taiwan Institute of Physics Academia Sinica Taipei 10529 Taiwan

来源：评论

学校读者我要写书评

暂无评论

An Immersive System with Multi-Modal Human-computer Interaction

An Immersive System with Multi-Modal Human-Computer Interact...

引用

International Conference on Automatic Face and Gesture Recognition

作者： Rui Zhao Kang Wang Rahul Divekar Robert Rouhani Hui Su Qiang Ji Dept. of Electrical Computer & Systems Engineering RPI USA Dept. of Computer Science RPI USA RPI Cognitive Immersive Systems Lab USA IBM T. J. Watson Research Center USA

We introduce an immersive system prototype that integrates face, gesture and speech recognition techniques to support multi-modal human-computer interaction capability. Embedded in an indoor room setting, a multi-camera system is developed to monitor the user facial behavior, body gesture and spatial location in the room. A server that fuses different sensor inputs in a time-sensitive manner so that our system knows who is doing what at where in real-time. When correlating with speech input, the system can better understand the user intention for interaction purpose. We evaluate the performance of core recognition techniques on both benchmark and self-collected datasets and demonstrate the benefit of the system in various use cases.

关键词： Cameras Visualization Image color analysis Calibration Face Gesture recognition Three-dimensional displays

来源：评论

学校读者我要写书评

暂无评论

When full duplex wireless meets non-orthogonal multiple access: Opportunities and challenges

arXiv

引用

arXiv 2019年

作者： Chen, Xianhao Liu, Gang Ma, Zheng Zhang, Xi Fan, Pingzhi Chen, Shanzhi Richard Yu, F. Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu610031 China National Mobile Communications Research Laboratory Southeast University Department of Information Science and Engineering KTH Royal Institute of Technology Stockholm Sweden Key Lab of Information Coding and Transmission Southwest Jiaotong University Chengdu610031 China Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A&M University College StationTX77843 United States State Key Laboratory of Wireless Mobile Communications China Academy of Telecommunication Technology Beijing100191 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Department of Systems and Computer Engineering Carleton University OttawaON Canada

Non-orthogonal multiple access (NOMA) is a promising radio access technology for the 5G wireless systems. The core of NOMA is to support multiple users in the same resource block via power or code domain multiplexing, which provides great enhancement in spectrum efficiency and connectivity. Meanwhile, with the recent advance in self-interference (SI) cancelation techniques, full duplex (FD) wireless communication has become a feasible technology enabling radios to receive and transmit simultaneously. This article aims to investigate the combination of these two emerging technologies. At first, several typical scenarios and protocols are presented to illustrate the application of FD technique in NOMA systems. Then, a novel NOMA system with FD base stations (BSs) based on centralized radio access networks (C-RAN) is proposed. Furthermore, power allocation policies are discussed for the proposed scheme, and simulation results are provided to demonstrate its superiority. Finally, challenges and research opportunities of FD NOMA systems are also identified to stimulate the future research. Copyright © 2019, The Authors. All rights reserved.

关键词： Radio access networks

来源：评论

学校读者我要写书评

暂无评论

Molecular and Serologic Diagnostic Technologies for SARS-CoV-2

arXiv

引用

arXiv 2022年

作者： Rando, Halie M. Brueffer, Christian Lordan, Ronan Dattoli, Anna Ada Manheim, David Meyer, Jesse G. Mundo, Ariel I. Perrin, Dimitri Mai, David Wellhausen, Nils Gitter, Anthony Greene, Casey S. Department of SystemsPharmacology and Translational Therapeutics University of Pennsylvania PhiladelphiaPA United States Department of Biochemistry and MolecularGenetics University of Colorado School of Medicine AuroraCO United States Center for Health AI University of Colorado School of Medicine AuroraCO United States Department of Clinical Sciences Lund University Lund Sweden Institute for TranslationalMedicine and Therapeutics Perelman School of Medicine University of Pennsylvania PhiladelphiaPA19104-5158 United States Department of Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA19104 United States Department of Systems Pharmacology and Translational Therapeutics Perelman School of Medicine University of Pennsylvania PhiladelphiaPA19104 United States Department of Pathology Laboratory Medicine The Children’s Hospital of Philadelphia PhiladelphiaPA United States Department of Systems Pharmacology & Translational Therapeutics Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States 1DaySooner Delaware United States Communication Research Center School of Public Health University of Haifa Haifa Israel Technion Israel Institute of Technology Haifa Israel Department of Biochemistry Medical College of Wisconsin MilwaukeeWI United States Department of Biomedical Engineering University of Arkansas FayettevilleAR United States School of Computer Science Queensland University of Technology Brisbane Australia Centre for Data Science Queensland University of Technology Brisbane Australia Department of Bioengineering University of Pennsylvania PhiladelphiaPA United States Center for Cellular Immunotherapies Perelman School of Medicine Parker Institute for Cancer Immunotherapy University of Pennsylvania PhiladelphiaPA United States Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania PhiladelphiaPA United States Department of Biostatistics Medical

The COVID-19 pandemic has presented many challenges that have spurred biotechnological research to address specific problems. Diagnostics is one area where biotechnology has been critical. Diagnostic tests play a vital role in managing a viral threat by facilitating the detection of infected and/or recovered individuals. From the perspective of what information is provided, these tests fall into two major categories, molecular and serological. Molecular diagnostic techniques assay whether a virus is present in a biological sample, thus making it possible to identify individuals who are currently infected. Additionally, when the immune system is exposed to a virus, it responds by producing antibodies specific to the virus. Serological tests make it possible to identify individuals who have mounted an immune response to a virus of interest and therefore facilitate the identification of individuals who have previously encountered the virus. These two categories of tests provide different perspectives valuable to understanding the spread of SARS-CoV-2. Within these categories, different biotechnological approaches offer specific advantages and disadvantages. Here we review the categories of tests developed for the detection of the SARS-CoV-2 virus or antibodies against SARS-CoV-2 and discuss the role of diagnostics in the COVID-19 pandemic. © 2022, CC BY.

关键词： SARS

来源：评论

学校读者我要写书评

暂无评论

Multimodal, Multiuser Immersive Brainstorming and Scenario Planning for Intelligence Analysis

Multimodal, Multiuser Immersive Brainstorming and Scenario P...

引用

IEEE Conference on Technologies for Homeland Security

作者： Shannon Briggs Michael Perrone Matthew Peveler Jaimie Drozdal Lilit Balagyozyan Hui Su Communications and Rhetoric Rensselaer Polytechnic Institute Troy NY IBM Thomas J. Watson Research Laboratory IBM Yorktown Heights NY Computer Science Rensselaer Polytechnic Institute Troy NY Cognitive Immersive Systems Lab Rensselaer Polytechnic Institute Troy NY Mechanical Engineering Rensselaer Polytechnic Institute Troy NY IBM Thomas J. Watson Research Laboratory Yorktown Heights NY

ISBN: (数字)9781728150925

ISBN: (纸本)9781728150932

This paper discusses two pieces of software designed for intelligence analysis, the brainstorming tool and the Scenario Planning Advisor. These tools were developed in the Cognitive Immersive systems lab (CISL) in conjunction with IBM. We discuss the immersive environment the tools are situated in, and the proposed benefit for intelligence analysis.

关键词： Tools Planning Software Collaboration Task analysis Cognition Analytical models

来源：评论

学校读者我要写书评

暂无评论

Generating new classes of fixed-time stable systems with predefined upper bound for the settling time

arXiv

引用

arXiv 2019年

作者： Aldana-López, Rodrigo Gómez-Gutiérrez, David Jiménez-Rodríguez, Esteban Sánchez-Torres, Juan Diego Defoort, Michael Department of Computer Science and Systems Engineering University of Zaragoza Zaragoza Spain Multi-Agent Autonomous Systems Lab Intel Labs Intel Tecnología de México Jalisco Mexico Tecnologico de Monterrey Escuela de Ingeniería y Ciencias Jalisco Mexico Relativity6 Inc. Computer Science & Artificial Intelligence Lab. Jalisco Mexico Research Laboratory on Optimal Design Devices and Advanced Materials -OPTIMA- Department of Mathematics and Physics ITESO Jalisco Mexico LAMIH UMR CNRS 8201 INSA Polytechnic University of Hauts-de-France Valenciennes France

This paper aims to provide a methodology for generating autonomous and nonautonomous systems with a fixed-time stable equilibrium point where an Upper Bound of the Settling Time (UBST) is set a priori as a parameter of the system. In addition, some conditions for such an upper bound to be the least one are provided. This construction procedure is a relevant contribution when compared with traditional methodologies for generating fixed-time algorithms satisfying time constraints since current estimates of an UBST may be too conservative. The proposed methodology is based on time-scale transformations and Lyapunov analysis. It allows the presentation of a broad class of fixed-time stable systems with predefined UBST, placing them under a common framework with existing methods using time-varying gains. To illustrate the effectiveness of our approach, we generate novel, autonomous and non-autonomous, fixed-time stable algorithms with predefined least UBST. Copyright © 2019, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：