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arXiv 2019年

作者： Hu, Xiao-Long Jiang, Cong Yu, Zong-Wen Wang, Xiang-Bin State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 Data Communication Science and Technology Research Institute Beijing100191 China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China Jinan Institute of Quantum technology SAICT Jinan250101 Shenzhen Institute for Quantum Science and Engineering Physics Department Southern University of Science and Technology Shenzhen518055 China

The sending-or-not-sending (SNS) protocol of the twin-field quantum key distribution (TFQKD) can tolerant large misalignment error and its key rate can exceed the linear bound of repeaterless QKD. But the original SNS protocol requires the two users to use the same source parameters. Here we propose a general protocol with asymmetric source parameters and give the security proof of this protocol. Our general protocol has a much better performance than that of the original SNS protocol when the channel is asymmetric. Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum cryptography

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Erratum to: Long-read metagenomics of multiple displacement amplified DNA of low-biomass human gut phageomes by SACRA pre-processing chimeric reads

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DNA research : an international journal for rapid publication of reports on genes and genomes 2021年第6期28卷 dsab025页

作者： Yuya Kiguchi Suguru Nishijima Naveen Kumar Masahira Hattori Wataru Suda Cooperative Major in Advanced Health Science Graduate School of Advanced Science and Engineering Waseda University Tokyo 169-8555 Japan. Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL) National Institute of Advanced Industrial Science and Technology Tokyo 169-8555 Japan. Laboratory for Microbiome Sciences RIKEN Center for Integrative Medical Sciences Yokohama 230-0045 Japan. Integrated Institute for Regulatory Science Waseda University Tokyo 169-8555 Japan. Structural and Computational Biology Unit European Molecular Biology Laboratory Heidelberg Germany.

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Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency

arXiv

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arXiv 2019年

作者： Li, Jia Fu, Kui Zhao, Shengwei Ge, Shiming State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China Institute of Information Engineering Chinese Academy of Sciences Beijing100095 China School of Cyber Security at University of Chinese Academy of Sciences Beijing100095 China

—The performance of video saliency estimation techniques has achieved significant advances along with the rapid development of Convolutional Neural Networks (CNNs). However, devices like cameras and drones may have limited computational capability and storage space so that the direct deployment of complex deep saliency models becomes infeasible. To address this problem, this paper proposes a dynamic saliency estimation approach for aerial videos via spatiotemporal knowledge distillation. In this approach, five components are involved, including two teachers, two students and the desired spatiotemporal model. The knowledge of spatial and temporal saliency is first separately transferred from the two complex and redundant teachers to their simple and compact students, and the input scenes are also degraded from high-resolution to low-resolution to remove the probable data redundancy so as to greatly speed up the feature extraction process. After that, the desired spatiotemporal model is further trained by distilling and encoding the spatial and temporal saliency knowledge of two students into a unified network. In this manner, the inter-model redundancy can be further removed for the effective estimation of dynamic saliency on aerial videos. Experimental results show that the proposed approach outperforms ten state-of-the-art models in estimating visual saliency on aerial videos, while its speed reaches up to 28,738 FPS on the GPU platform. Copyright © 2019, The Authors. All rights reserved.

关键词： Students

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Publisher Correction: A global overview of marine heatwaves in a changing climate

Communications Earth & Environment

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Communications Earth & Environment 2024年第1期5卷 1页

作者： Antonietta Capotondi Tongtong Xu Dillon J. Amaya Regina R. Rodrigues Alex Sen Gupta Jessica A. Benthuysen Clara Deser Thomas L. Frölicher Natacha Le Grix Nicole S. Lovenduski Juliet Hermes Neil J. Holbrook Cristian Martinez-Villalobos Simona Masina Mathew Koll Roxy Amandine Schaeffer Robert W. Schlegel Kathryn E. Smith Chunzai Wang Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder CO USA NOAA/Physical Sciences Laboratory Boulder CO USA Federal University of Santa Catarina Florianópolis Brazil Climate ChangeResearch Centre and CentreforMarine Science and Innovation University of New South Wales Sydney NSW Australia Australian Research Council Centre of Excellence for Climate Extremes University of New South Wales Sydney NSW Australia Australian Institute of Marine Science Crawley WA Australia Climate and Global Dynamics Laboratory National Center for Atmospheric Research Boulder CO USA Climate and Environmental Physics Physics Institute University of Bern Bern Switzerland Oeschger Centre for Climate Change Research University of Bern Bern Switzerland Department of Atmospheric and Oceanic Sciences and Institute of Arctic and Alpine Research University of Colorado Boulder Boulder CO USA South African Environmental Observation Network Cape Town South Africa Institute for Marine and Antarctic Studies University of Tasmania Hobart TAS Australia ARC Centre of Excellence for Climate Extremes University of Tasmania Hobart TAS Australia Faculty of Engineering and Science Universidad Adolfo Ibáñez Santiago Chile Data Observatory Foundation ANID Technology Center No. DO210001 Santiago Chile CMCC Foundation—Euro-Mediterranean Center on Climate Change Bologna Italy Centre for Climate Change Research Indian Institute of Tropical Meteorology Ministry of Earth Sciences Pune India School of Mathematics and Statistics UNSW Sydney NSW Australia Center for Marine Science and Innovation UNSW Sydney NSW Australia Laboratoire d’Océanographie de Villefranche Sorbonne University CNRS Villefranche-sur-mer France Marine Biological Association of the United Kingdom Plymouth UK State Key Laboratory of Tropical Oceanography South China Sea Institute of Oceanology Chinese Academy of Sciences Guangzhou China Global Ocean and Climate Research Center

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Association of cardiometabolic index and risk of stroke: A systematic review and meta-analysis

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Journal of Stroke and Cerebrovascular Diseases 2025年第8期34卷 108337-108337页

作者： Satapathy, Prakasini Shabil, Muhammed Khatib, Mahalaqua Nazli Ganesan, Subbulakshmi Kaur, Mandeep Srivastava, Manish Barwal, Amit Prasad, G.V. Siva Rajput, Pranchal Rukshar, Syed Kundra, Kamal Sharma, Kratika Jena, Diptismitha Correa, Frederick Sidney Rathour, Abhinav Bushi, Ganesh Mehta, Rachana Sah, Sanjit Gaidhane, Shilpa Samal, Shailesh Kumar Center for Global Health Research Saveetha Medical College and Hospital Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India Faculty of Data Science and Information Technology INTI International University Nilai Malaysia University Center for Research and Development Chandigarh University Punjab Mohali India Medical Laboratories Techniques Department AL-Mustaqbal University Babil Hillah 51001 Iraq Division of Evidence Synthesis Global Consortium of Public Health and Research Datta Meghe Institute of Higher Education Wardha India Department of Chemistry and Biochemistry School of Sciences JAIN (Deemed to be University) Karnataka Bangalore India Department of Allied Healthcare and Sciences Vivekananda Global University Rajasthan Jaipur 303012 India Department of Endocrinology NIMS University Jaipur India Chandigarh Pharmacy College Chandigarh Group of College Jhanjeri Punjab Mohali 140307 India Department of Chemistry Raghu Engineering College Andhra Pradesh Visakhapatnam 531162 India School of Applied and Life Sciences Division of Research and Innovation Uttaranchal University Dehradun India IES Institute of Pharmacy IES University Madhya Pradesh Bhopal 462044 India New Delhi Institute of Management Tughlakabad Institutional Area New Delhi India Department of Emergency Graphic Era Institute of Medical Sciences Graphic Era (Deemed to be University) Clement Town Dehradun India Noida Institute of Engineering and Technology (Pharmacy Institute) Greater Noida India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura 140417 India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh 174103 India School of Pharmaceutical Sciences Lovely Professional University Phagwara India Clinical Microbiology RDC Manav Rachna International Institute of Research and Studies Haryana Faridabad 121004 India Department of Paediatrics Dr. D. Y. Patil Medical College Hospital a

Background: Stroke remains a leading cause of morbidity and mortality worldwide, contributing significantly to public health burdens. Cardiovascular and metabolic risk factors such as diabetes, hypertension, obesity, and dyslipidaemia are strongly associated with an increased risk of stroke. The cardio-metabolic index (CMI), which integrates these factors into a single measure, has emerged as a potential predictor of stroke. This systematic review and meta-analysis intended to examine the link between CMI and risk of stroke, offering an in-depth evaluation of its predictive value Methods: A systematic search was conducted in PubMed, Embase, and Web of science until 10 December 2024. The inclusion criteria focused on observational studies (cohort, cross-sectional, and case-control) that reported original data on the association of CMI and stroke risk. data extraction was standardized, and quality was assessed using the Newcastle-Ottawa Scale. Meta-analysis was performed using a random effects model in R software version 4.4 Results: From 545 articles initially retrieved, with 5 studies met inclusion criteria, encompassing over 100,000 participants. Meta-analysis showed a significant association between elevated CMI and stroke risk with a pooled RR of 1.66 (95 % CI: 1.25 to 2.20). A subgroup analysis of cohort studies yielded a pooled HR of 1.63 (95 % CI: 1.21 to 2.21). There was no significant heterogeneity across studies (I² = 0 %). Conclusion: Our findings demonstrated a strong association between elevated CMI and an increased risk of stroke. CMI, by integrating multiple cardiovascular and metabolic factors, serves as a comprehensive predictor of stroke risk. Incorporating CMI into routine health screenings could enhance early identification and prevention efforts, ultimately aiding in the reduction of stroke incidence. © 2025

关键词： Cardiometabolic index cerebrovascular stroke CMI intracranial haemorrhage stroke

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Corrigendum to “Manufacturer’s selling mode choice in a platform-oriented dual channel supply chain” [Expert Syst. Appl. 198 (2022) 116842]

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Expert Systems with Applications 2022年 207卷

作者： Tong-Yuan Wang Zhen-Song Chen Kannan Govindan Kwai-Sang Chin Institute of Modern Logistics Henan University Kaifeng 475004 China School of Business Henan University Kaifeng 475004 China School of Transportation and Logistics Southwest Jiaotong University Chengdu 611756 China Department of Engineering Management School of Civil Engineering Wuhan University Wuhan 430072 China School of Data Science City University of Hong Kong Hong Kong China Institute of FTZ Supply Chain Shanghai Maritime University Shanghai 201306 China Yonsei Frontier Lab Yonsei University Seoul South Korea Center for Sustainable Supply Chain Engineering Department of Technology and Innovation Danish Institute for Advanced Study University of Southern Denmark Campusvej 55 Odense M Denmark Department of Advanced Design and Systems Engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Tong Hong Kong City University of Hong Kong Shenzhen Research Institute Shenzhen China

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Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research

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Digital Biomarkers 2019年第3期3卷 116-132页

作者： Badawy, Reham Hameed, Farhan Bataille, Lauren Little, Max A. Claes, Kasper Saria, Suchi Cedarbaum, Jesse M. Stephenson, Diane Neville, Jon Maetzler, Walter Espay, Alberto J. Bloem, Bastiaan R. Simuni, Tanya Karlin, Daniel R. School of Computer Science University of Birmingham Birmingham United Kingdom Digital Medicine and Pfizer Innovation Research Lab Early Clinical Development Pfizer Inc. CambridgeMA United States College of Computer and Information Science Northeastern University BostonMA United States Analytics Informatics and Business Intelligence Chief Digital Office Pfizer Inc. New YorkNY United States Michael J. Fox Foundation for Parkinson's Research New YorkNY United States Media Lab Massachusetts Institute of Technology CambridgeMA United States UCB Biopharma Brussels Belgium Machine Learning and Healthcare Laboratory Departments of Computer Science Statistics and Health Policy Malone Center for Engineering in Healthcare Armstrong Institute for Patient Safety and Quality Johns Hopkins University BaltimoreMD United States Biogen CambridgeMA United States Critical Path Institute TucsonAZ United States Clinical Data Interchange Standards Consortium AustinTX United States Department of Neurology Christian Albrecht University Kiel Germany James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders University of Cincinnati CincinnatiOH United States Department of Neurology Donders Institute for Brain Cognition and Behavior Radboud University Medical Center Nijmegen Netherlands Department of Neurology Gardner Center for Parkinson's Disease and Movement Disorders UC Gardner Neuroscience Institute University of Cincinnati CincinnatiOH United States Tufts University School of Medicine BostonMA United States HealthMode New YorkNY United States School of Engineering and Applied Science Aston University BirminghamB47ET United Kingdom

Digital health technologies (smartphones, smartwatches, and other body-worn sensors) can act as novel tools to aid in the diagnosis and remote objective monitoring of an individual's disease symptoms, both in clinical care and in research. Nonetheless, such digital health technologies have yet to widely demonstrate value in clinical research due to insufficient data interpretability and lack of regulatory acceptance. Metadata, i.e., data that accompany and describe the primary data, can be utilized to better understand the context of the sensor data and can assist in data management, data sharing, and subsequent data analysis. The need for data and metadata standards for digital health technologies has been raised in academic and industry research communities and has also been noted by regulatory authorities. Therefore, to address this unmet need, we here propose a metadata set that reflects regulatory guidelines and that can serve as a conceptual map to (1) inform researchers on the metadata they should collect in digital health studies, aiming to increase the interpretability and exchangeability of their data, and (2) direct standard development organizations on how to extend their existing standards to incorporate digital health technologies. The proposed metadata set is informed by existing standards pertaining to clinical trials and medical devices, in addition to existing schemas that have supported digital health technology studies. We illustrate this specifically in the context of Parkinson's disease, as a model for a wide range of other chronic conditions for which remote monitoring would be useful in both care and science. We invite the scientific and clinical research communities to apply the proposed metadata set to ongoing and planned research. Where the proposed metadata fall short, we ask users to contribute to its ongoing revision so that an adequate degree of consensus can be maintained in a rapidly evolving technology landscape. © 2019 The Author(s

关键词： Metadata

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Moisture-Accelerated Precursor Crystallisation in Ambient Air for High-Performance Perovskite Solar Cells toward Mass Production

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Angewandte Chemie 2022年第42期134卷

作者： Weili Fan Dr. Kaimo Deng Ying Shen Prof. Yang Bai Prof. Liang Li Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing 100083 P. R. China Contribution: Formal analysis (equal) Investigation (equal) Methodology (equal) Software (lead) Writing - original draft (equal) School of Physical Science and Technology Jiangsu Key Laboratory of Thin Films Soochow University Suzhou 215006 P. R. China Contribution: Data curation (equal) Funding acquisition (equal) Methodology (equal) Project administration (equal) Contribution: Methodology (equal) Software (equal) Contribution: Funding acquisition (equal) Methodology (equal) Project administration (equal) Contribution: Conceptualization (lead) Funding acquisition (lead) Project administration (lead)

Phase-pure crystallised perovskite is considered an excellent precursor for fabricating high-stability perovskite films with minimal defects. However, currently available protocols for synthesising crystallised perovskites must be conducted in an inert atmosphere or in the presence of an organic solvent as the reaction medium, which hinders mass production. Here, we report the fast synthesis of α-phase-crystallised perovskite powder assisted by moisture in ambient air. Moisture can promote the reaction between PbI 2 and organic salts and facilitate complete phase transition, as demonstrated in a joint experimental and theoretical study. Perovskite solar cells with a power conversion efficiency of 24.07 % were achieved using phase-pure crystallised perovskite powder as the precursor. This ambient-air-compatible method opens new vistas to reproducible high-quality precursors for large-scale photovoltaic applications.

关键词： Moisture Perovskite Solar Cells Precursor Crystallization Stability

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Dual Honeycomb-Superlattice Enables Double-High Activity and Reversibility of Anion Redox for Sodium-Ion Battery Layered Cathodes

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Angewandte Chemie 2022年第33期134卷

作者： Qi Wang Yuxin Liao Xin Jin Chen Cheng Shiyong Chu Chuanchao Sheng Prof. Liang Zhang Prof. Bingwen Hu Prof. Shaohua Guo Prof. Haoshen Zhou Center of Energy Storage Materials & Technology College of Engineering and Applied Sciences Jiangsu Key Laboratory of Artificial Functional Materials National Laboratory of Solid State Micro-structures and Collaborative Innovation Center of Advanced Micro-structures Nanjing University Nanjing 210093 P. R. China Shenzhen Research Institute of Nanjing University Shenzhen 51800 P. R. China Contribution: Conceptualization (lead) Data curation (lead) Investigation (lead) Shanghai Key Laboratory of Magnetic Resonance State Key Laboratory of Precision Spectroscopy School of Physics and Electronic Science East China Normal University Shanghai 200241 P. R. China Contribution: Data curation (equal) Investigation (equal) Contribution: Data curation (equal) Institute of Functional Nano & Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices Joint International Research Laboratory of Carbon-Based Functional Materials and Devices Soochow University 199 Ren'ai Road Suzhou 215123 P. R. China Contribution: Data curation (supporting) Contribution: Investigation (supporting) Contribution: Conceptualization (lead) Writing - original draft (equal) Writing - review & editing (equal)

Anion redox contributes to the anomalous capacity exceeding the theoretical limit of layered oxides. However, double-high activity and reversibility is challenging due to the structural rearrangement and potential oxygen loss. Here, we propose a strategy for constructing a dual honeycomb-superlattice structure in Na 2/3 [Li 1/7 Mn 5/14 ][Mg 1/7 Mn 5/14 ]O 2 to simultaneously realize high activity and reversibility of lattice O redox. Theoretical simulation and electrochemical tests show that [Li 1/7 Mn 5/14 ] superlattice units remarkably trigger the anion redox activity and enable the delivery of a record capacity of 285.9 mA g −1 in layered sodium-ion battery cathodes. Nuclear magnetic resonance and in situ X-ray diffraction reveal that [Mg 1/7 Mn 5/14 ] superlattice units are beneficial to the structure and anion redox reversibility, where Li + reversibly shuttles between Na layers and transition-metal slabs in contrast to the absence of [Mg 1/7 Mn 5/14 ] units. Our findings underline the importance of multifunctional units and provide a path to advanced battery materials.

关键词： Anionic Redox Dual Superlattice Layered Cathodes NMR Spectroscopy Sodium-Ion Batteries

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The repertoire of mutational signatures in human cancer (vol 578, pg 94, 2020)

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NATURE 2023年第7948期614卷 E41-E41页

作者： Alexandrov, Ludmil B. Kim, Jaegil Haradhvala, Nicholas J. Huang, Mi Ni Ng, Alvin Wei Tian Wu, Yang Boot, Arnoud Covington, Kyle R. Gordenin, Dmitry A. Bergstrom, Erik N. Islam, S. M. Ashiqul Lopez-Bigas, Nuria Klimczak, Leszek J. McPherson, John R. Morganella, Sandro Sabarinathan, Radhakrishnan Wheeler, David A. Mustonen, Ville Getz, Gad Rozen, Steven G. Stratton, Michael R. Department of Cellular and Molecular Medicine Department of Bioengineering Moores Cancer Center University of California San Diego CA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Cellular and Molecular Medicine and Department of Bioengineering University of California San Diego La Jolla CA USA UC San Diego Moores Cancer Center San Diego CA USA University of California San Diego San Diego CA USA Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Massachusetts General Hospital Boston MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Laboratory for Medical Science Mathematics RIKEN Center for Integrative Medical Sciences Yokohama Japan Computational Biology Program Ontario Institute for Cancer Research Toronto ON Canada Programme in Cancer & Stem Cell Biology Duke-NUS Medical School Singapore Singapore Centre for Computational Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Duke-NUS Medical School Singapore Singapore Programme in Cancer and Stem Cell Biology Centre for Computational Biology Duke-NUS Medical School Singapore Singapore SingHealth Duke-NUS Institute of Precision Medicine National Heart Centre Singapore Singapore Singapore Cancer Science Institute of Singapore National University of Singapore Singapore Singapore Institute of Molecular and Cell Biology Singapore Singapore Laboratory of Cancer Epigenome Division of Medical Science National Cancer Centre Singapore Singapore Singapore Duke-NUS Medical School Singapore Singapore Human Genome Sequencing Center Baylor College of Medicine Houston TX USA Dan L. Duncan Cancer Center Baylor College of Medicine Houston TX USA Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA Genome Integrity and Structural Biology Laboratory National Ins

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