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arXiv 2019年

作者： Yan, Donghui Wang, Yingjie Wang, Jin Wu, Guodong Wang, Honggang Department of Mathematics and Program in Data Science Department of Electrical and Computer Engineering University of Massachusetts DartmouthMA United States Lovelace Respiratory Research Institute AlbuquerqueNM United States

The last decades have seen a surge of interests in distributed computing thanks to advances in clustered computing and big data technology. Existing distributed algorithms typically assume all the data are already in one place, and divide the data and conquer on multiple machines. However, it is increasingly often that the data are located at a number of distributed sites, and one wishes to compute over all the data with low communication overhead. For spectral clustering, we propose a novel framework that enables its computation over such distributed data, with "minimal" communications while a major speedup in computation. The loss in accuracy is negligible compared to the non-distributed setting. Our approach allows local parallel computing at where the data are located, thus turns the distributed nature of the data into a blessing;the speedup is most substantial when the data are evenly distributed across sites. Experiments on synthetic and large UC Irvine datasets show almost no loss in accuracy with our approach while about 2x speedup under various settings with two distributed sites. As the transmitted data need not be in their original form, our framework readily addresses the privacy concern for data sharing in distributed computing. Copyright © 2019, The Authors. All rights reserved.

关键词： Large dataset

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Correction to: Select, route and schedule: optimizing community paramedicine service delivery with mandatory visits and patient prioritization

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Health care management science 2023年第4期26卷 747页

作者： Shima Azizi Özge Aygül Brenton Faber Sharon Johnson Renata Konrad Andrew C Trapp Business Analytics and Information Systems Peter J. Tobin College of Business St. John's University Queens NY USA. azizis@stjohns.edu. Data Science Program Worcester Polytechnic Institute 100 Institute Road Worcester MA USA. Biomedical Engineering Worcester Polytechnic Institute 100 Institute Road Worcester MA USA. The Business School Worcester Polytechnic Institute 100 Institute Road Worcester MA USA.

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Estimating international trade status of countries from global liner shipping networks

arXiv

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arXiv 2020年

作者： Xu, Mengqiao Pan, Qian Xia, Haoxiang Masuda, Naoki School of Economics and Management Dalian University of Technology No. 2 Linggong Road Ganjingzi District Dalian City Liaoning Province116024 China Department of Mathematics University at Buffalo BuffaloNY14260-2900 United States Computational and Data-Enabled Science and Engineering Program University at Buffalo State University of New York BuffaloNY14260-5030 United States

Maritime shipping is a backbone of international trade and thus the world economy. Vessels travel from a port of one country to another on networks of ports to carry cargos, which contribute to countries’ international trade values. We hypothesize that ports that involve transshipment activities serve as a third-party middleman to mediate trade between two foreign countries and contribute to the corresponding country's status in international trade. We test this hypothesis using a port-level data set of global liner shipping services. We propose two indices that quantify the importance of countries in the global liner shipping network and show that they explain a large amount of variation in the international trade value and related measures of individual countries. These results support a long-standing view in maritime economics, which has yet been directly tested, that countries that are strongly integrated into the global maritime transportation network have enhanced access to global markets and trade opportunities. Copyright © 2020, The Authors. All rights reserved.

关键词： International trade

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Electronic and Magnetic Properties of Topological Semimetal Candidate NdSbTe

arXiv

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arXiv 2020年

作者： Pandey, Krishna Basnet, Rabindra Wegner, Aaron Acharya, Gokul Un Nabi, Md Rafique Liu, Jiangwei Wang, Jian Takahashi, Yukiko Da, Bo Hu, Jin Materials Science and Engineering Program Institute for Nanoscience and Engineering University of Arkansas FayettevilleAR72701 United States Department of Physics University of Arkansas FayettevilleAR72701 United States Research Center for Functional Materials National Institute for Materials Science TsukubaIbaraki305-0047 Japan Institute for Materials Research Center for Spintronics Research Network Tohoku University Sendai980-8577 Japan Research Center for Magnetic and Spintronic Materials National Institute for Materials Science Sengen 1-2-1 TsukubaIbaraki305-0047 Japan Research and Services Division of Materials Data and Integrated System National Institute for Materials Science TsukubaIbaraki305-0044 Japan

ZrSiS-type materials represent a large material family with unusual coexistence of topological nonsymmorphic Dirac fermions and nodal-line fermions. As a special group of ZrSiS-family, LnSbTe (Ln = Lanthanide rare earth) compounds provide a unique opportunity to explore new quantum phases due to the intrinsic magnetism induced by Ln. Here we report the single crystal growth and characterization of NdSbTe, a previously unexplored LnSbTe compound. NdSbTe has an antiferromagnetic ground state with field-driven metamagnetic transitions similar to other known LnSbTe, but exhibits distinct enhanced electronic correlations characterized by large a Sommerfeld coefficient of 115 mJ/mol K2, which is the highest among the known LnSbTe compounds. Furthermore, our transport studies have revealed the coupling with magnetism and signatures of Kondo localization. All these findings establish NdSbTe as a new platform for observing novel phenomena arising from the interplay between magnetism, topology, and electron correlations. Copyright © 2020, The Authors. All rights reserved.

关键词： Topology

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Author Correction: Communities conditionally support deployment of direct air capture for carbon dioxide removal in the United States

Communications Earth & Environment

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

作者： Celina Scott-Buechler Bruce Cain Khalid Osman Nicole M. Ardoin Robert B. Jackson Catherine Fraser Grace Adcox Emily Polk Emmett Interdisciplinary Program in Environment & Resources (E-IPER) Stanford University Stanford CA USA Political Science Stanford University Stanford CA USA Civil and Environmental Engineering Stanford University Stanford CA USA Environmental Behavioral Sciences Stanford University Stanford CA USA Woods Institute for the Environment Stanford University Stanford CA USA Precourt Institute for Energy Stanford University Stanford CA USA McCourt School of Public Policy Georgetown University Washington DC USA Data for Progress Washington DC USA Writing and Rhetoric Studies Stanford University Stanford CA USA

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Association of Risk Factors For Venous Thromboembolism and Overall Survival in Lung Cancer

Blood Vessels, Thrombosis & Hemostasis

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Blood Vessels, Thrombosis & Hemostasis 2025年

作者： Thomas E. Plate Asaad Trabolsi Rachel S. Kronenfeld Leticia E. Campoverde Dan Morgenstern-Kaplan Alyssa J. Mercadel Michael Caballero Wei Zhao Gerald A. Soff Sylvester Comprehensive Cancer Center University of Miami Miller School of Medicine Miami Fl USA Hematology Oncology Fellowship Program Jackson Memorial Health System/ University of Miami Miami Fl USA Division of Pediatric Hematology/Oncology University of Miami/Jackson Memorial Hospital Miami FL Internal Medicine Residency program division of internal medicine Department of Medicine University of Miami/ Jackson Memorial Hospital Miami Division of Gynecologic Oncology Department of Obstetrics Gynecology and Reproductive Sciences University of Miami Leonard M. Miller School of Medicine Miami Data Science and Engineering UHealth Information Technology University of Miami Miami FL Biostatistics and Bioinformatics Shared Resource Sylvester Comprehensive Cancer Center University of Miami Miami FL Division of Hematology Department of Medicine University of Miami Miller School of Medicine Miami Fl USA

Venous thromboembolism (VTE) is a frequent complication in patients with lung cancer, but the risk factors and incidence in different lung cancer subtypes have not been fully characterized. Despite multiple studies supporting the use of VTE prophylaxis in patients with cancer at increased risk of VTE by the Khorana score (KS), routine use of VTE prophylaxis is uncommon in clinical practice for these patients. This study further characterizes the risk factors and incidence of VTE and in patients with lung cancer at a university cancer center. Further, we assessed the association of KS and its individual components with overall survival in this same group of patients with lung cancer. Utilizing natural language processing and human review to detect thrombotic events in the electronic medical record, a 12-month incidence of 10.1% was identified in the 632 lung cancer patients analyzed. Significant risk factors included age <60 years and white blood cell count (WBC) ≥ 11× 10 9 /L, but KS itself was not significantly associated with VTE. The median overall survival was 12 months with VTE. The KS, age ≥ 60 years, stage III-IV, WBC ≥ 11× 10 9 /L, Hgb <10 gm/dL, BMI, surgery and VTE were identified as significant predictors of death. These findings warrant further validation, as the KS and two of its individual components in this study of lung cancer were significantly associated with reduced overall survival.

关键词： Lung cancer thrombosis Khorana Score cancer associated thrombosis

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The EMPOWER blended digital intervention for relapse prevention in schizophrenia: a feasibility cluster randomised controlled trial in Scotland and Australia

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The Lancet Psychiatry 2022年第6期9卷 477-486页

作者： Gumley, Andrew I Bradstreet, Simon Ainsworth, John Allan, Stephanie Alvarez-Jimenez, Mario Aucott, Lorna Birchwood, Maximillian Briggs, Andrew Bucci, Sandra Cotton, Sue M Engel, Lidia French, Paul Lederman, Reeva Lewis, Shôn Machin, Matthew MacLennan, Graeme McLeod, Hamish McMeekin, Nicola Mihalopoulos, Cathy Morton, Emma Norrie, John Schwannauer, Matthias Singh, Swaran P Sundram, Suresh Thompson, Andrew Williams, Chris Yung, Alison R Farhall, John Gleeson, John Glasgow Institute of Health and Wellbeing University of Glasgow Glasgow United Kingdom Division of Psychology and Mental Health School of Health Sciences Faculty of Biology Medicine and Health Manchester Academic Health Science Centre University of Manchester Manchester United Kingdom Division of Informatics Imaging and Data Sciences School of Health Sciences Faculty of Biology Medicine and Health Manchester Academic Health Science Centre University of Manchester Manchester United Kingdom Orygen Melbourne Melbourne VIC Australia Centre for Youth Mental Health University of Melbourne Melbourne VIC Australia School of Computing and Information Systems Faculty of Engineering and Information Technology University of Melbourne Melbourne VIC Australia Centre for Healthcare Randomised Trials (CHaRT) University of Aberdeen Aberdeen United Kingdom Centre for Mental Health and Wellbeing Research Warwick Medical School University of Warwick Warwick United Kingdom Department of Health Services Research and Policy London School of Hygiene & Tropical Medicine London United Kingdom Greater Manchester Mental Health NHS Foundation Trust Manchester United Kingdom School of Public Health and Preventive Medicine Monash University Melbourne VIC Australia Department of Psychiatry School of Clinical Sciences Monash University Melbourne VIC Australia School of Medicine Deakin University Melbourne VIC Australia Department of Psychiatry Manchester Metropolitan University Manchester United Kingdom Department of Psychiatry University of British Columbia Vancouver BC Canada The Usher Institute University of Edinburgh Edinburgh United Kingdom School for Health in Social Sciences University of Edinburgh Edinburgh United Kingdom Mental Health Program Monash Health Melbourne VIC Australia Department of Psychology and Counselling La Trobe University Melbourne VIC Australia NorthWestern Mental Health The Royal Melbourne Hospital Epping VIC Australia Healthy Brain and Mi

Background: Early warning signs monitoring by service users with schizophrenia has shown promise in preventing relapse but the quality of evidence is low. We aimed to establish the feasibility of undertaking a definitive randomised controlled trial to determine the effectiveness of a blended digital intervention for relapse prevention in schizophrenia. Methods: This multicentre, feasibility, cluster randomised controlled trial aimed to compare Early signs Monitoring to Prevent relapse in psychosis and prOmote Well-being, Engagement, and Recovery (EMPOWER) with treatment as usual in community mental health services (CMHS) in Glasgow and Melbourne. CMHS were the unit of randomisation, selected on the basis of those that probably had five or more care coordinators willing to participate. Participants were eligible if they were older than 16 years, had a schizophrenia or related diagnosis confirmed via case records, were able to provide informed consent, had contact with CMHS, and had had a relapse within the previous 2 years. Participants were randomised within stratified clusters to EMPOWER or to continue their usual approach to care. EMPOWER blended a smartphone for active monitoring of early warning signs with peer support to promote self-management and clinical triage to promote access to relapse prevention. Main outcomes were feasibility, acceptability, usability, and safety, which was assessed through face-to-face interviews. App usage was assessed via the smartphone and self-report. Primary end point was 12 months. Participants, research assistants and other team members involved in delivering the intervention were not masked to treatment conditions. Assessment of relapse was done by an independent adjudication panel masked to randomisation group. The study is registered at ISRCTN (99559262). Findings: We identified and randomised eight CMHS (six in Glasgow and two in Melbourne) comprising 47 care coordinators. We recruited 86 service users between Jan 19 and Au

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Double-Cable Conjugated Polymers with Pendent Near-Infrared Electron Acceptors for Single-Component Organic Solar Cells

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Angewandte Chemie 2022年第35期134卷

作者： Shijie Liang Baiqiao Liu Dr. Safakath Karuthedath Jing Wang Dr. Yakun He Wen Liang Tan Hao Li Prof. Yunhua Xu Prof. Ning Li Prof. Jianhui Hou Prof. Zheng Tang Prof. Frédéric Laquai Prof. Christopher R. McNeill Prof. Christoph J. Brabec Prof. Weiwei Li Beijing Advanced Innovation Center for Soft Matter Science and Engineering & State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical Technology Beijing 100029 China Contribution: Data curation (lead) Formal analysis (lead) Investigation (equal) Writing - original draft (supporting) Writing - review & editing (supporting) Department of Chemistry School of Science Beijing Jiaotong University Beijing 100044 P. R. China KAUST Solar Center (KSC) Physical Sciences and Engineering Division (PSE) Material Science and Engineering Program (MSE) King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Kingdom of Saudi Arabia Contribution: Data curation (supporting) Formal analysis (supporting) Investigation (supporting) Writing - original draft (supporting) Writing - review & editing (supporting) Center for Advanced Low-dimension Materials College of Materials Science and Engineering Donghua University Shanghai 201620 P. R. China Contribution: Data curation (supporting) Formal analysis (supporting) Investigation (supporting) Methodology (supporting) Writing - review & editing (supporting) Institute of Materials for Electronics and Energy Technology (i-MEET) Friedrich-Alexander-Universität Erlangen-Nürnberg Martensstrasse 7 91058 Erlangen Germany Contribution: Data curation (supporting) Formal analysis (supporting) Investigation (supporting) Methodology (supporting) Writing - original draft (supporting) Writing - review & editing (supporting) Department of Materials Science and Engineering Monash University Wellington Road Clayton Victoria 3800 Australia State Key Laboratory of Polymer Physics and Chemistry Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China Contribution: Data curation (supporting) Formal analysis (supporting) Writing - review & editing (supporting) Contribution: Funding acquisition (supporting) Writing - review & editing (supportin

Double-cable conjugated polymers with near-infrared (NIR) electron acceptors are synthesized for use in single-component organic solar cells (SCOSCs). Through the development of a judicious synthetic pathway, the highly sensitive nature of the 2-(3-oxo-2,3-dihydroinden-1-ylidene)malononitrile (IC)-based electron acceptors in basic and protonic solvents is overcome. In addition, an asymmetric design motif is adopted to optimize the packing of donor and acceptor segments, enhancing charge separation efficiency. As such, the new double-cable polymers are successfully applied in SCOSCs, providing an efficiency of over 10 % with a broad photo response from 300 to 850 nm and exhibiting excellent thermal/light stability. These results demonstrate the powerful design of NIR-acceptor-based double-cable polymers and will enable SCOSCs to enter a new stage.

关键词： Double-Cable Conjugated Polymers Electron Acceptors Near Infrared Single Component Solar Cells

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The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

arXiv

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arXiv 2023年

作者： Ma, Jun Xie, Ronald Ayyadhury, Shamini Ge, Cheng Gupta, Anubha Gupta, Ritu Gu, Song Zhang, Yao Lee, Gihun Kim, Joonkee Lou, Wei Li, Haofeng Upschulte, Eric Dickscheid, Timo de Almeida, José Guilherme Wang, Yixin Han, Lin Yang, Xin Labagnara, Marco Gligorovski, Vojislav Scheder, Maxime Rahi, Sahand Jamal Kempster, Carly Pollitt, Alice Espinosa, Leon Mignot, Tâm Middeke, Jan Moritz Eckardt, Jan-Niklas Li, Wangkai Li, Zhaoyang Cai, Xiaochen Bai, Bizhe Greenwald, Noah F. Van Valen, David Weisbart, Erin Cimini, Beth A. Cheung, Trevor Brück, Oscar Bader, Gary D. Wang, Bo Peter Munk Cardiac Centre University Health Network TorontoON Canada Department of Laboratory Medicine and Pathobiology University of Toronto TorontoON Canada Vector Institute TorontoON Canada Department of Molecular Genetics University of Toronto TorontoON Canada Donnelly Centre University of Toronto TorontoON Canada Princess Margaret Cancer Centre University Health Network TorontoON Canada School of Medicine and Pharmacy Ocean University of China Qingdao China New Delhi India Laboratory Oncology Dr. BRA-IRCH All India Institute of Medical Sciences New Delhi India Department of Image Reconstruction Nanjing Anke Medical Technology Co. Ltd. Nanjing China Shanghai Artificial Intelligence Laboratory Shanghai China Graduate School of AI KAIST Seoul Korea Republic of Shenzhen Research Institute of Big Data Shenzhen China Shenzhen China Helmholtz AI Research Center Jülich Jülich Germany Faculty of Mathematics and Natural Sciences Institute of Computer Science Heinrich Heine University Düsseldorf Düsseldorf Germany Hinxton United Kingdom Champalimaud Foundation - Centre for the Unknown Lisbon Portugal Department of Bioengineering Stanford University Palo AltoCA United States Tandon School of Engineering New York University New YorkNY United States School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen China Lausanne Switzerland School of Biological Sciences University of Reading Reading United Kingdom Laboratoire de Chimie Bactérienne CNRS Université Aix Marseille UMR Institut de Microbiologie de la Méditerranée Marseille France Department of Internal Medicine I University Hospital Dresden Technical University Dresden Dresden Germany Else Kroener Fresenius Center for Digital Health Technical University Dresden Dresden Germany Department of Automation University of Science and Technology of China Hefei China Institute of Advanced Technology University of Science and Technology of China Hefei Chi

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different experimental settings. Here, we present a multi-modality cell segmentation benchmark, comprising over 1500 labeled images derived from more than 50 diverse biological experiments. The top participants developed a Transformer-based deep-learning algorithm that not only exceeds existing methods but can also be applied to diverse microscopy images across imaging platforms and tissue types without manual parameter adjustments. This benchmark and the improved algorithm offer promising avenues for more accurate and versatile cell analysis in microscopy imaging. © 2023, CC BY-NC-ND.

关键词： Deep learning

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Highly Efficient Organosulfur and Lithium-Metal Hosts Enabled by C@Fe3N Sponge

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Angewandte Chemie 2022年第3期135卷

作者： Dr. Jiarui He Dr. Amruth Bhargav Hyunki Sul Prof. Arumugam Manthiram Materials Science and Engineering Program & Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA Contribution: Conceptualization (equal) Data curation (equal) Formal analysis (equal) Investigation (equal) Methodology (lead) Validation (lead) Writing - original draft (lead) Contribution: Data curation (equal) Formal analysis (equal) Investigation (equal) Methodology (supporting) Validation (equal) Writing - review & editing (equal) Contribution: Data curation (supporting) Formal analysis (supporting) Methodology (supporting) Validation (supporting) Writing - review & editing (supporting) Contribution: Conceptualization (supporting) Funding acquisition (lead) Methodology (supporting) Project administration (lead) Resources (lead) Supervision (lead) Validation (equal) Writing - review & editing (equal)

Lithium-organosulfur (Li-OS) batteries, despite possessing high theoretical specific capacity, encounter a few practical challenges, including unsatisfactory lifespan and low active material utilization under realistic conditions. Here, diisoropyl xanthogen polysulfide (DIXPS) has been selected as a model organosulfur compound to investigate the practical feasibility of Li-OS batteries under realistic conditions. A well-designed freestanding carbon sponge decorated with Fe 3 N nanoparticles (C@Fe 3 N) is introduced into the Li-OS cells as a scaffold for both Li and DIXPS. The lithiophilic property of the C@Fe 3 N host guides uniform lithium deposition at the anode, and the catalysis of the DIXPS conversion reaction promotes the kinetics at the cathode. Impressively, the synergistic effect of C@Fe 3 N leads to an extremely stable cycling performance over 1 000 cycles in a Li-OS full cell under realistic conditions.

关键词： Electrochemistry Lithiophilic Host Lithium-Organosulfur Batteries Pouch Cells Shuttling-Free Cathode

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