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arXiv 2020年

作者： Behar, Joachim A. Liu, Chengyu Tsutsui, Kenta Corino, Valentina D.A. Singh, Janmajay Pimentel, Marco A.F. Karlen, Walter Warrick, Philip Zaunseder, Sebastian Andreotti, Fernando Osipov1, Maxim McSharry, Patrick E. Kotzen, Kevin Karmakar, Chandan Clifford, Gari D. Faculty of Biomedical Engineering Technion-IIT Haifa Israel State Key Laboratory of Bioelectronics School of Instrument Science and Engineering Southeast University Nanjing Department of Cardiovascular Medicine Saitama International Medical Center Saitama Department of Electronics Information and Bioengineering Milano Italy Independent Researcher Department of Engineering Science University of Oxford Oxford United Kingdom Mobile Health Systems Lab Department of Health Sciences and Technology ETH Zurich Zurich Switzerland PeriGen CaryNC United States Faculty of Information Technology FH Dortmund Dortmund Germany Sensyne Health Oxford United Kingdom Babylon Health London United Kingdom Carnegie Mellon University Africa Kigali Rwanda African Centre of Excellence in Data Science University of Rwanda Kigali Rwanda Oxford Man Institute of Quantitative Finance Oxford University Oxford United Kingdom School of Information Technology Deakin University Geelong Australia Department of Electrical and Electronic Engineering University of Melbourne Melbourne Australia Department of Biomedical Informatics Emory University AtlantaGA United States Department of Biomedical Engineering Georgia Institute of Technology Emory University AtlantaGA United States

Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that is rapidly spreading across the globe. The clinical spectrum of SARS-CoV-2 pneumonia ranges from mild to critically ill cases and requires early detection and monitoring, within a clinical environment for critical cases and remotely for mild cases. The fear of contamination in clinical environments has led to a dramatic reduction in on-site referrals for routine care. There has also been a perceived need to continuously monitor non-severe COVID-19 patients, either from their quarantine site at home, or dedicated quarantine locations (e.g., hotels). Thus, the pandemic has driven incentives to innovate and enhance or create new routes for providing healthcare services at distance. In particular, this has created a dramatic impetus to find innovative ways to remotely and effectively monitor patient health status. In this paper we present a short review of remote health monitoring initiatives taken in 19 states during the time of the pandemic. We emphasize in the discussion particular aspects that are common ground for the reviewed states, in particular the future impact of the pandemic on remote health monitoring and consideration on data privacy. Copyright © 2020, The Authors. All rights reserved.

关键词： Coronavirus

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H2O2-Responsive NIR-II AIE Nanobomb for Carbon Monoxide Boosting Low-Temperature Photothermal Therapy

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Angewandte Chemie 2022年第36期134卷

作者： Gongcheng Ma Zhongke Liu Chunguang Zhu Prof. Huajie Chen Prof. Ryan T. K. Kwok Prof. Pengfei Zhang Ben Zhong Tang Prof. Lintao Cai Prof. Ping Gong Guangdong Key Laboratory of Nanomedicine Shenzhen Engineering Laboratory of Nanomedicine and Nanoformulations CAS-HK Joint Lab for Biomaterials Research Laboratory for Biomedical Optics and Molecular Imaging Shenzhen Key Laboratory for Molecular Imaging CAS Key Lab for Health Informatics Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China University of Chinese Academy of Sciences Beijing 100049 China Contribution: Data curation (lead) Validation (lead) Writing - original draft (lead) Nano Science and Technology Institute University of Science & Technology of China Suzhou 215123 China Contribution: Data curation (equal) Investigation (equal) Key Laboratory of Environmentally Friendly Chemistry and Application of the Ministry of Education College of Chemistry Xiangtan University Xiangtan 411105 China Contribution: Data curation (supporting) Methodology (supporting) Contribution: Project administration (supporting) Resources (supporting) Supervision (supporting) Writing - review & editing (equal) Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study The Hong Kong University of Science and Technology (HKUST) Clear Water Bay Kowloon Hong Kong China Contribution: Funding acquisition (equal) Supervision (equal) Writing - review & editing (equal) Contribution: Conceptualization (lead) Formal analysis (lead) Methodology (equal) Project administration (lead) Resources (equal) Supervision (equal) Writing - original draft (equal) Writing - review & editing (lead) School of Science and Engineering Shenzhen Institute of Aggregate Science and Technology The Chinese University of Hong Kong Shenzhen Guangdong 518172 China Contribution: Formal analysis (supporting) Funding acquisition (equal) Writing - review & editing (supporting) Contribution: Funding acquisition (lead) Project administration (lead) Supervision (lead) Writing - revi

Low-temperature photothermal therapy (PTT), which circumvents the limitations of conventional PTT (e.g., thermotolerance and adverse effects), is an emerging therapeutic strategy which shows great potential for future clinical applications. The expression of heat shock proteins (HSPs) can dramatically impair the therapeutic efficacy of PTT. Thus, inhibition of HSPs repair and reducing the damage of nearby normal cells is crucial for improving the efficiency of low-temperature PTT. Herein, we developed a nanobomb based on the self-assembly of NIRII AIE polymer PBPTV and carbon monoxide (CO) carrier polymer mPEG(CO). This smart nanobomb can be exploded in a tumor microenvironment in which hydrogen peroxide is overexpressed and release CO into cancer cells to significantly inhibit the expression of HSPs and hence improve the antitumor efficiency of the low-temperature PTT.

关键词： Aggregation Induced Emission Gas Therapy Heat Shock Protein NIR-II Photothermal Therapy

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Channel Estimation for Ambient Backscatter Communication Systems with Massive-Antenna Reader

arXiv

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arXiv 2019年

作者： Zhao, Wenjing Wang, Gongpu Atapattu, Saman He, Ruisi Liang, Ying-Chang Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology Beijing Jiaotong University China Department of Electrical and Electronic Engineering University of Melbourne ParkvilleVIC3010 Australia Center for Intelligent Networking and Communications University of Electronic Science and Technology of China Chengdu China

—Ambient backscatter, an emerging green communication technology, has aroused great interest from both academia and industry. One open problem for ambient backscatter communication (AmBC) systems is channel estimation for a massive-antenna reader. In this paper, we focus on channel estimation problem in AmBC systems with uniform linear array (ULA) at the reader which consists of large number of antennas. We first design a two-step method to jointly estimate channel gains and direction of arrivals (DoAs), and then refine the estimates through angular rotation. Additionally, Cramér-Rao lower bounds (CRLBs) are derived for both the modulus of the channel gain and the DoA estimates. Simulations are then provided to validate the analysis, and to show the efficiency of the proposed approach. Copyright © 2019, The Authors. All rights reserved.

关键词： Backscattering

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Highly Stereoselective Diels–Alder Reactions Catalyzed by Diboronate Complexes**

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Angewandte Chemie 2023年第33期135卷

作者： Dr. Yuan-He Li Dr. Su-Lei Zhang Dr. Yong Lu Bo Xiao Dr. Tian-Yu Sun Qian-Qian Xu Prof. Dr. Jia-Hua Chen Prof. Dr. Zhen Yang Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education and Beijing National Laboratory for Molecular Science (BNLMS) Peking-Tsinghua Center for Life Sciences Peking University Beijing 100871 China Contribution: Data curation (lead) Investigation (lead) Methodology (lead) Validation (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Methodology (supporting) Writing - review & editing (supporting) Contribution: Data curation (supporting) Writing - review & editing (supporting) Lab of Computational Chemistry and Drug Design State Key Laboratory of Chemical Oncogenomics Peking University Shenzhen Graduate School Shenzhen 518055 China Contribution: Supervision (supporting) Writing - review & editing (supporting) Shenzhen Bay Laboratory Shenzhen 518055 China State Key Laboratory of Chemical Oncogenomics Key Laboratory of Chemical Genomics Peking University Shenzhen Graduate School Shenzhen 518055 China Contribution: Conceptualization (lead) Funding acquisition (lead) Supervision (lead) Writing - review & editing (supporting)

A highly enantioselective catalytic system for exo -Diels–Alder reactions was developed based on the newly discovered bispyrrolidine diboronates (BPDB). Activated by various Lewis or Brønsted acids, BPDB can catalyze highly stereoselective asymmetric exo -Diels–Alder reactions of monocarbonyl-based dienophiles. When 1,2-dicarbonyl-based dienophiles are used, the catalyst can sterically distinguish between the two binding sites, which leads to highly regioselective asymmetric Diels–Alder reactions. BPDB can be prepared as crystalline solids on a large scale and are stable under ambient condition. Single-crystal X-ray analysis of the structure for acid-activated BPDB indicated that its activation involves cleavage of a labile B←N bond.

关键词： Asymmetric Catalysis Bispyrrolidine Diboronates Diels–Alder Reaction Exo-Selectivity Pericyclic Reaction

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Non-volatile optical switch based on a GST-loaded directional coupler 3

Non-volatile optical switch based on a GST-loaded directiona...

引用

3rd Optoelectronics Global Conference, OGC 2018

作者： Zhang, Hanyu Zhou, Linjie Lu, Liangjun Chen, Jianping Rahman, B.M.A. Shanghai Institute for Advanced Communication and Data Science Shanghai Key Lab of Navigation and Location Services State Key Laboratory of Advanced Optical Communication Systems and Networks SJTU Shanghai China Department of Electrical and Electronic Engineering University of London London United Kingdom

ISBN: (纸本)9781538673973

We present a non-volatile optical switch based on a directional coupler comprising a silicon-Ge2Sb2Te5 (GST) hybrid waveguide. The non-volatility of GST makes it attractive for reducing static power consumption in optical switching. Experimental results show that the optical switch has an extinction ratio of >20 dB in the bar state and >25 dB in the cross state around 1578 nm wavelength. The insertion loss is 2 dB and 7 dB for the bar and cross states, respectively. © 2018 IEEE.

关键词： Phase change materials

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Design of Fine Management System for Civil Aviation Airspace Resources Based on Spatiotemporal Grid Model

Design of Fine Management System for Civil Aviation Airspace...

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IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Yinger Zheng Juqing Liu Jun Li Yubin Xu Qian Huang Yan Zhu Yanqiu Pei Big Data Application Center China Academy of Civil Aviation Science and Technology Beijing China College of Geoscience and Surveying Engineering China University of Mining and Technology Beijing China Research and Development Center China Academy of Civil Aviation Science and Technology Beijing China Service Lab Huawei Research Institute Huawei Technology Co. Ltd Beijing China

ISBN: (纸本)9781728125992

Along with the rapid development of aviation industry, airspace demand is increasing. However, the current airspace resources are tight and the utilization efficiency is low. Aiming at addressing this problem, this paper proposes a fine management system for civil aviation airspace resources based on spatiotemporal grid model. Relying on massive, multisource, multi-scale and multi-dimensional aviation big data, this study expands the time dimension of global discrete grid technology and establishes a global unified spatiotemporal grid model. On this basis, the calculation and analysis method of the spatiotemporal grid model is designed to carry out route management, conduct flight collision detection, allocate airspace resources, and then realize efficient and intelligent management, allocation and intelligent application of airspace resources. Finally, the scientificity and feasibility of the management system is verified through the practical application of civil aviation ADS-B data, meteorological data and route data.

关键词： Spatiotemporal grid Airspace resources Fine management En-route capacity civil aviation utilization efficiency grids Grid MANAGEMENT SYSTEMS time dimension

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Τ-FPL: Tolerance-constrained learning in linear time 32

Τ-FPL: Tolerance-constrained learning in linear time

引用

32nd AAAI Conference on Artificial Intelligence, AAAI 2018

作者： Zhang, Ao Li, Nan Pu, Jian Wang, Jun Yan, Junchi Zha, Hongyuan Shanghai Key Laboratory of Trustworthy Computing MOE International Joint Lab of Trustworthy Software School of Computer Science and Software Engineering East China Normal University Shanghai China Institute of Data Science and Technologies Alibaba Group Hangzhou China IBM Research China Georgia Institute of Technology Atlante United States

ISBN: (纸本)9781577358008

In many real-world applications, learning a classifier with false-positive rate under a specified tolerance is appealing. Existing approaches either introduce prior knowledge dependent label cost or tune parameters based on traditional classifiers, which are of limitation in methodology since they do not directly incorporate the false-positive rate tolerance. In this paper, we propose a novel scoring-thresholding approach, τ-False Positive Learning (τ-FPL) to address this problem. We show that the scoring problem which takes the false-positive rate tolerance into accounts can be efficiently solved in linear time, also an out-of-bootstrap thresholding method can transform the learned ranking function into a low false-positive classifier. Both theoretical analysis and experimental results show superior performance of the proposed τ-FPL over the existing approaches. Copyright © 2018, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Mathematical transformations

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Identifying significant edges via neighborhood information

arXiv

引用

arXiv 2019年

作者： Zhao, Na Li, Jie Wang, Jian Li, Tong Yu, Yong Zhou, Tao Key Laboratory in Software Engineering of Yunnan Province School of Software Yunnan University Kunming650091 China Electric Power Research Institute of Yunnan Power Grid Kunming650217 China College of Information Engineering and Automation Kunming University of Science and Technology Kunming650504 China School of Big Data Yunnan Agricultural University Kunming650201 China CompleX Lab University of Electronic Science and Technology of China Chengdu611471 China

Heterogeneous nature of real networks implies that different edges play different roles in network structure and functions, and thus to identify significant edges is of high value in both theoretical studies and practical applications. We propose the so-called second-order neighborhood (SN) index to quantify an edge's significance in a network. We compare SN index with many other benchmark methods based on 15 real networks via edge percolation. Results show that the proposed SN index outperforms other well-known methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Solvents

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Analysis and optimization for RIS-aided multi-pair communications relying on statistical CSI

arXiv

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arXiv 2020年

作者： Peng, Zhangjie Li, Tianshu Pan, Cunhua Ren, Hong Xu, Wei Renzo, Marco Di College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai200234 China Institute of Artificial Intelligence on Education Shanghai Normal University Shanghai200234 China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai200234 China School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom National Mobile Communications Research Lab Southeast University Nanjing210096 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Université Paris-Saclay CNRS CentraleSupélec Laboratoire des Signaux et Systèmes 3 Rue Joliot-Curie Gif-surYvette91192 France

In this paper, we investigate a reconfigurable intelligent surface (RIS) aided multi-pair communication system, in which multi-pair users exchange information via an RIS. We derive an approximate expression for the achievable rate by assuming that statistical channel state information (CSI) is available. A genetic algorithm (GA) to solve the rate maximization problem is proposed as well. In particular, we consider implementations of RISs with continuous phase shifts (CPSs) and discrete phase shifts (DPSs). Simulation results verify the obtained results and show that the proposed GA method has almost the same performance as the globally optimal solution. In addition, numerical results show that three quantization bits can achieve a large portion of the achievable rate for the CPSs setup. © 2020, CC BY.

关键词： Genetic algorithms

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Erratum: Prototype of readout electronics for GAEA gamma spectrometer of Back-n facility at CSNS

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Journal of Instrumentation 2022年第8期17卷 E08002-E08002页

作者： L. Xie P. Cao T. Yu Z. Jiang Q. An J. Li C. Li X. Wu Z. Wang H. Bai J. Bai J. Bao Q. Chen Y. Chen Z. Chen Z. Cui A. Fan R. Fan C. Feng F. Feng K. Gao M. Gu C. Han Z. Han G. He Y. He Y. Hong Y. Hu H. Huang W. Jia H. Jiang W. Jiang Z. Jin L. Kang B. Li G. Li Q. Li X. Li Y. Li J. Liu R. Liu S. Liu G. Luan C. Ning B. Qi J. Ren Z. Ren X. Ruan Z. Song K. Sun Z. Tan J. Tang S. Tang L. Wang P. Wang Z. Wen Y. Yang H. Yi Y. Yu G. Zhang L. Zhang M. Zhang Q. Zhang X. Zhang Y. Zhang Z. Zhang M. Zhao L. Zhou Z. Zhou K. Zhu State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei China Department of Modern Physics University of Science and Technology of China Hefei China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing China Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics Mianyang China Institute of High Energy Physics Chinese Academy of Sciences (CAS) Beijing China Spallation Neutron Source Science Center Dongguan China USTC archaeometry lab University of Science and Technology of China Hefei China State Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences Beijing China Northwest Institute of Nuclear Technology Xi'an China University of Chinese Academy of Sciences Beijing China

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