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SSRN 2023年

作者： Yacob, Sophia Roxy, Mathew Koll Murtugudde, Raghu Karipot, Anand Sapkota, Amir Dasgupta, Panini Baliwant, Kalpana Saunik, Sujata Tiwari, Abhiyant Chattopadhyay, Rajib Phalkey, Revati K. Centre for Climate Change Research Indian Institute of Tropical Meteorology Ministry of Earth Sciences Pune India Department of Atmospheric and Space Sciences Savitribai Phule Pune University Pune India DOAS University of Maryland College ParkMD United States Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Powai Mumbai400076 India Department of Epidemiology and Biostatistics School of Public Health University of Maryland College ParkMD United States School of Earth and Environmental Sciences Seoul National University Korea Republic of Health Department Pune Municipal Corporation Pune India Harvard TH Chan School of Public Health BostonMA United States Natural Resources Defense Council India Heidelberg Institute of Global Health University of Heidelberg Germany Division of Epidemiology and Public Health University of Nottingham Nottingham United Kingdom

Background: India accounts for a third of the global dengue disease burden, out of an annual global incidence of 100–400 million infections. The non-linearity and regional heterogeneity inherent in climate-dengue relationship and the lack of consistent data makes it difficult for preparing predictions suited for effective disease prevention. The current study investigates the climate-dengue links in India, and presents a model framework for both near-term and future dengue predictions. Methods: Statistical techniques and machine learning methods are used to evaluate the climate-dengue links and prepare the dengue model framework. Mortality data for a dengue hotspot region, Pune, from 2004 to 2015 is analyzed along with the meteorological conditions, considering the non-linearity and the time-lag between them. The future climate simulations from the Coupled Model Intercomparison Project phase6 models are used as inputs in the dengue model for generating dengue future projections up to 2100, under different future emission pathways. Findings: The current study finds that temperature, rainfall, and relative humidity impact dengue mortality in Pune at a lag of 2–5 months. Moderate rains spread in time leads to an increase in dengue mortality, whereas heavy rains reduce it through the flushing effect. Our dengue model provides a reliable forecast accuracy at a lead time of two months. In a changing climate, dengue mortalities over Pune are projected to increase by 13% in the near-term (2021–2040) and 30–112% in the long-term (2081–2100) under different emission scenarios in response to the changes in rainfall patterns and increase in temperature and relative humidity. Interpretation: The dengue model framework used in this study introduces a comprehensive approach for near-term predictions and future projections, and provides a template for other regions with similar tropical climate. Regional dengue models incorporating the lag in climate-dengue associations can provide

关键词： Climate change

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Correction to: Environmental consequences of interacting effects of changes in stratospheric ozone, ultraviolet radiation, and climate: UNEP Environmental Effects Assessment Panel, Update 2024 (Photochemical & Photobiological sciences, (2025), 24, 3, (357-392), 10.1007/s43630-025-00687-x)

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Photochemical and Photobiological sciences 2025年第5期24卷 863-865页

作者： Neale, Patrick J. Hylander, Samuel Banaszak, Anastazia T. Häder, Donat-P. Rose, Kevin C. Vione, Davide Wängberg, Sten-Åke Jansen, Marcel A. K. Busquets, Rosa Andersen, Mads P. Sulbæk Madronich, Sasha Hanson, Mark L. Schikowski, Tamara Solomon, Keith R. Sulzberger, Barbara Wallington, Timothy J. Heikkilä, Anu M. Pandey, Krishna K. Andrady, Anthony L. Bruckman, Laura S. White, Christopher C. Zhu, Liping Bernhard, Germar H. Bais, Alkiviadis Aucamp, Pieter J. Chiodo, Gabriel Cordero, Raúl R. Petropavlovskikh, Irina Neale, Rachel E. Olsen, Catherine M. Hales, Simon Lal, Aparna Lingham, Gareth Rhodes, Lesley E. Young, Antony R. Robson, T. Matthew Robinson, Sharon A. Barnes, Paul W. Bornman, Janet F. Harper, Anna B. Lee, Hanna Calderón, Roy Mackenzie Ossola, Rachele Paul, Nigel D. Revell, Laura E. Wang, Qing-Wei Zepp, Richard G. Environmental Research Center Smithsonian Institution EdgewaterMD United States Centre for Ecology and Evolution in Microbial Model Systems Linnaeus University Kalmar Sweden Unidad Académica de Sistemas Arrecifales Universidad Nacional Autónoma de México Puerto Morelos Mexico Erlangen Germany Department of Biological Sciences and Department of Civil and Environmental Engineering Rensselaer Polytechnic Institute TroyNY United States Department of Chemistry University of Turin Turin Italy Department of Marine Sciences University of Gothenburg Gotheburg Sweden School of Biological Earth and Environmental Sciences Environmental Research Institute University College Cork Cork Ireland Chemical and Pharmaceutical Sciences Kingston University London Kingston Upon Thames United Kingdom Civil Environmental & Geomatic Engineering University College London London United Kingdom Department of Chemistry and Biochemistry California State University NorthridgeCA United States Atmospheric Chemistry Observations and Modeling National Center for Atmospheric Research BoulderCO United States USDA UV-B Monitoring and Research Program Colorado State University Fort. CollinsCO United States Department of Environment and Geography University of Manitoba WinnipegMB Canada Working Group Environmental Epidemiology IUF-Leibniz Research Institute for Environmental Medicine Düsseldorf Germany Department of Environment and Health School of Public Health University of Bielefeld Bielefeld Germany School of Environmental Sciences University of Guelph GuelphON Canada Retired From Eawag Swiss Federal Institute of Aquatic Science and Technology Dübendorf Switzerland Center for Sustainable Systems School for Environment and Sustainability University of Michigan Ann ArborMI United States Climate Research Finnish Meteorological Institute Helsinki Finland Indian Academy of Wood Science Bengaluru India Chemical and Biomolecular Engineering North Carolina State University RaleighN

This work is not a product of the U.S. Government or the U.S. Environmental Protection Agency, and the author is not doing this work in any governmental capacity. This research was not performed or funded by EPA and was not subject to EPA’s quality system requirements. The views expressed in this journal article are those of the author(s) and do not necessarily represent the views or the policies of the U.S. Environmental Protection Agency. The original article has been corrected. © The Author(s), under exclusive licence to the European Photochemistry Association, European Society for Photobiology 2025.

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Proteogenomic analysis of enriched HGSOC tumor epithelium identifies prognostic signatures and therapeutic vulnerabilities (vol 8, 68, 2024)

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NPJ PRECISION ONCOLOGY 2024年第1期8卷 1-17页

作者： Bateman, Nicholas W. Abulez, Tamara Soltis, Anthony R. McPherson, Andrew Choi, Seongmin Garsed, Dale W. Pandey, Ahwan Tian, Chunqiao Hood, Brian L. Conrads, Kelly A. Teng, Pang-ning Oliver, Julie Gist, Glenn Mitchell, Dave Litzi, Tracy J. Tarney, Christopher M. Crothers, Barbara A. Mhawech-Fauceglia, Paulette Dalgard, Clifton L. Wilkerson, Matthew D. Pierobon, Mariaelena Petricoin, Emanuel F. Yan, Chunhua Meerzaman, Daoud Bodelon, Clara Wentzensen, Nicolas Lee, Jerry S. H. Huntsman, David G. Shah, Sohrab Shriver, Craig D. Phippen, Neil T. Darcy, Kathleen M. Bowtell, David D. L. Conrads, Thomas P. Maxwell, G. Larry Gynecologic Cancer Center of Excellence Gynecologic Surgery and Obstetrics Uniformed Services University of the Health Sciences Bethesda MD USA The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc Bethesda MD USA The John P. Murtha Cancer Center Research Program Department of Surgery Uniformed Services University and Walter Reed National Military Medical Center Bethesda MD USA Women’s Health Integrated Research Center Women’s Service Line Inova Health System Falls Church VA USA The American Genome Center Collaborative Health Initiative Research Program Department of Anatomy Physiology and Genetics Uniformed Services University of the Health Sciences Bethesda MD USA Department of Computational Oncology Memorial Sloan Kettering Cancer Center Manhattan NY USA Peter MacCallum Cancer Centre Parkville Melbourne Victoria Australia Sir Peter MacCallum Department of Oncology The University of Melbourne Parkville Victoria Australia The Joint Pathology Center Defense Health Agency National Capital Region Medical Directorate Silver Spring MD USA Department of Anatomic Pathology Division of Gynecologic Pathology University of Southern California Los Angeles CA USA Center for Applied Proteomics and Molecular Medicine George Mason University Manassas VA USA Center for Biomedical Informatics and Information Technology National Cancer Institute Rockville MD USA Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville MD USA Ellison Institute for Transformative Medicine University of Southern California Los Angeles CA USA Department of Pathology and Laboratory Medicine The University of British Columbia Vancouver British Columbia Canada The Cancer Imaging Archive National Cancer Institute Bethesda MD USA The Ohio State University Columbus OH USA Duke University Medical Center Durham NC USA University of Virginia Charlottesville VA USA University of Chicago Chicago IL USA MD Anderson Comprehensive Cancer

We performed a deep proteogenomic analysis of bulk tumor and laser microdissection enriched tumor cell populations from high-grade serous ovarian cancer (HGSOC) tissue specimens spanning a broad spectrum of purity. We identified patients with longer progression-free survival had increased immune-related signatures and validated proteins correlating with tumor-infiltrating lymphocytes in 65 tumors from an independent cohort of HGSOC patients, as well as with overall survival in an additional 126 HGSOC patient cohort. We identified that homologous recombination deficient (HRD) tumors are enriched in pathways associated with metabolism and oxidative phosphorylation that we validated in independent patient cohorts. We further identified that polycomb complex protein BMI-1 is elevated in HR proficient (HRP) tumors, that elevated BMI-1 correlates with poor overall survival in HRP but not HRD HGSOC patients, and that HRP HGSOC cells are uniquely sensitive to BMI-1 inhibition.

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A Social Media–Based Public health Campaign to Reduce Indoor Tanning in High-Risk Populations

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AJPM Focus 2023年第3期2卷 100123-100123页

作者： de Vere Hunt, Isabella Cai, Zhuo Ran Nava, Vanessa Admassu, Natnaelle E. Bousheri, Stephanie Johnson, Tiffani Tomz, Anna Thompson, Jessica Zhang, Lucy Pagoto, Sherry Wehner, Mackenzie R. Mathur, Maya B. Linos, Eleni Program for Clinical Research and Technology Stanford University Stanford CA United States Nuffield Department of Primary Care Health Sciences Medical Sciences Division University of Oxford Oxford United Kingdom Memorial Sloan Kettering Cancer Center New York NY United States Department of Allied Health Sciences University of Connecticut Mansfield CT United States Department of Health Services Research The University of Texas MD Anderson Cancer Center Houston TX United States Department of Dermatology The University of Texas MD Anderson Cancer Center Houston TX United States Quantitative Sciences Unit Department of Pediatrics Stanford University Stanford CA United States Department of Dermatology Stanford University Stanford CA United States

Introduction: Indoor tanning beds cause more than 450,000 new skin cancers each year, yet their use remains common, with a global indoor tanning prevalence of 10.4%. Social media provides an opportunity for cost-effective, targeted public health messaging. We sought to direct Instagram users at high risk of indoor tanning to accurate health information about the risks of indoor tanning and to reduce indoor tanning bed use. Methods: We disseminated a public health campaign on Instagram on April 6–27, 2022 with 34 video and still-image advertisements. We had 2 target audiences at high risk of indoor tanning: women aged 18–30 years in Kentucky, Nebraska, Ohio, or Tennessee interested in indoor tanning and men aged 18–45 years in California interested in indoor tanning. To evaluate the impact of the campaign, we tracked online metrics, including website visits, and conducted an interrupted time-series analysis of foot traffic data in our target states for all tanning salons documented on SafeGraph from January 1, 2018 to 3 months after the campaign. Results: Our indoor tanning health information advertisements appeared on Instagram feeds 9.1 million times, reaching 1.06 million individuals. We received 7,004 views of our indoor tanning health information landing page (Average Time on Page of 56 seconds). We did not identify a significant impact on foot traffic data on tanning salons. Conclusions: We show the successful use of social media advertising to direct high-risk groups to online health information about indoor tanning. Future research quantifying tanning visits before and after indoor tanning interventions is needed to guide future public health efforts. © 2023

关键词： cancer prevention health communication Public health skin cancer social media

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Effect of a single session of sensorimotor rhythm neurofeedback training on the putting performance of professional golfers

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Scandinavian Journal of Medicine and Science in Sports 2024年第1期34卷 e14540-e14540页

作者： Wu, Jia-Hao Chueh, Ting-Yu Yu, Chien-Lin Wang, Kuo-Pin Kao, Shih-Chun Gentili, Rodolphe J. Hatfield, Bradley D. Hung, Tsung-Min Department of Physical Education and Sport Sciences National Taiwan Normal University Taipei Taiwan Department of Kinesiology University of Maryland College Park MD United States Center of Excellence “Cognitive Interaction Technology” (CITEC) Bielefeld University Bielefeld Germany Neurocognition and Action – Biomechanics Research Group Faculty of Psychology and Sports Science Bielefeld University Bielefeld Germany Department of Health and Kinesiology Purdue University West Lafayette IN United States Program in Neuroscience and Cognitive Science University of Maryland College Park MD United States Institute for Research Excellence and Learning Sciences National Taiwan Normal University Taipei Taiwan

Sensorimotor rhythm (SMR) activity has been associated with automaticity and flow in motor execution. Studies have revealed that neurofeedback training (NFT) of the SMR can improve sports performance;however, few studies have adequately explored the effects of a single session of such NFT or examined the possible mechanisms underlying these effects on sports performance. This study recruited 44 professional golfers to address these gaps in the literature. A crossover design was employed to determine the order of the participation in the NFT and no-training control conditions. The participants were asked to perform 60 10-foot putts while electroencephalograms (EEGs) were recorded before and after the tasks. In pre-and post-tests, visual analog scales were used to assess the psychological states associated with SMR activities including the levels of attention engagement, conscious motor control, and physical relaxation. The results revealed that a single NFT session effectively increased SMR power and improved putting performance compared with the control condition. The subjective assessments also revealed that the participants reported lower attention engagement, less conscious control of the motor details and were more relaxed in the putting task, suggesting that SMR NFT promoted effortless and quiescent mental states during motor preparation for a putting task. This study aligns with theoretical hypotheses and extends current knowledge by revealing that a single session of SMR NFT can effectively enhance SMR power and improve putting performance in professional golfers. It also provides preliminary evidence of the possible underlying mechanisms that drive the effect of SMR NFT on putting performances. © 2023 The Authors. Scandinavian Journal of Medicine & Science In Sports published by John Wiley & Sons Ltd.

关键词： EEG neurofeedback training professional golf putting sensorimotor rhythm sports performance

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Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

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The Lancet 2023年第10397期402卷 203-234页

作者： Ong, Kanyin Liane Stafford, Lauryn K. McLaughlin, Susan A. Boyko, Edward J. Vollset, Stein Emil Smith, Amanda E. Dalton, Bronte E. Duprey, Joe Cruz, Jessica A. Hagins, Hailey Lindstedt, Paulina A. Aali, Amirali Abate, Yohannes Habtegiorgis Abate, Melsew Dagne Abbasian, Mohammadreza Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Mohsen ElHafeez, Samar Abd Abd-Rabu, Rami Abdulah, Deldar Morad Abdullah, Abu Yousuf md Abedi, Vida Abidi, Hassan Aboagye, Richard Gyan Abolhassani, Hassan Abu-Gharbieh, Eman Abu-Zaid, Ahmed Adane, Tigist Demssew Adane, Denberu Eshetie Addo, Isaac Yeboah Adegboye, Oyelola A. Adekanmbi, Victor Adepoju, Abiola Victor Adnani, Qorinah Estiningtyas Sakilah Afolabi, Rotimi Felix Agarwal, Gina Aghdam, Zahra Babaei Agudelo-Botero, Marcela Arriagada, Constanza Elizabeth Aguilera Agyemang-Duah, Williams Ahinkorah, Bright Opoku Ahmad, Danish Ahmad, Rizwan Ahmad, Sajjad Ahmad, Aqeel Ahmadi, Ali Ahmadi, Keivan Ahmed, Ali Ahmed, Luai A. Ahmed, Syed Anees Ajami, Marjan Akinyemi, Rufus Olusola Al Hamad, Hanadi Al Hasan, Syed Mahfuz AL-Ahdal, Tareq Mohammed Ali Alalwan, Tariq A. Al-Aly, Ziyad AlBataineh, Mohammad T. Alcalde-Rabanal, Jacqueline Elizabeth Alemi, Sharifullah Ali, Hassam Alinia, Tahereh Aljunid, Syed Mohamed Almustanyir, Sami Al-Raddadi, Rajaa M. Alvis-Guzman, Nelson Amare, Firehiwot Ameyaw, Edward Kwabena Amiri, Sohrab Amusa, Ganiyu Adeniyi Andrei, Catalina Liliana Anjana, Ranjit Mohan Ansar, Adnan Ansari, Golnoosh Ansari-Moghaddam, Alireza Anyasodor, Anayochukwu Edward Arabloo, Jalal Aravkin, Aleksandr Y. Areda, Demelash Arifin, Hidayat Arkew, Mesay Armocida, Benedetta Arnlov, Johan Artamonov, Anton A. Arulappan, Judie Aruleba, Raphael Taiwo Arumugam, Ashokan Aryan, Zahra Asemu, Mulu Tiruneh Asghari-Jafarabadi, Mohammad Askari, Elaheh Asmelash, Daniel Astell-Burt, Thomas Athar, Mohammad Athari, Seyyed Shamsadin Atout, Maha Moh'd Wahbi Avila-Burgos, Leticia Awaisu, Ahmed Azadnajafabad, Sina Darshan, B.B. Babamohamadi, Hassan Badar, Muhammad Badawi, Alaa Badiye, Ashish D. Baghcheghi, Nayereh Baghe Institute for Health Metrics and Evaluation School of Medicine General Medicine Service Department of Veterans Affairs Seattle WA United States Department of Health Metrics Sciences School of Medicine Faculty of Medicine France Department of Clinical Governance and Quality Improvement Aleta Wondo Hospital Aleta Wondo Ethiopia Department of Nursing Woldia University Woldia Ethiopia Department of Nursing Department of Orthopedic Surgery Orthopaedic Surgery Social Determinants of Health Research Center Non-communicable Diseases Research Center Epidemiology Department Evidence-Based Practice Center Community and Maternity Nursing Unit University of Duhok Duhok Iraq School of Planning Faculty of Environment Department of Public Health Sciences Penn State College of Medicine Pennsylvania State University Hershey PA United States Biocomplexity Institute Virginia Tech Blacksburg VA United States College of Medicine Department of Public Health Laboratory Technology Sciences Department Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Research Center for Immunodeficiencies Department of Biosciences and Nutrition Karolinska University Hospital Huddinge Sweden Clinical Sciences Department Department of Surgery Department of Surgery Department of Obstetrics & Gynecology College of Graduate Health Sciences University of Tennessee Memphis TN United States Department of Obstetrics & Gynecology Department of Clinical and Psychosocial Epidemiology Department of Anesthesia and Critical Care Centre for Social Research in Health Quality and Systems Performance Unit Cancer Institute NSW Sydney NSW Australia Department of Public Health and Tropical Medicine HIV and Infectious Diseases Department Jhpiego Abuja Nigeria Adolescent Research and Care Department Adolescent Friendly Research Initiative and Care Ado Ekiti Nigeria Department of Epidemiology Department of Epidemiology and Medical Statistics Department of Family Medicine McMaster University

Background: Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. Methods: Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined;these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs;defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims;type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative r

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Dural arteriovenous fistula (DAVF) after venous sinus stent (VSS) for presumed idiopathic intracranial hypertension (IIH): A case report and literature review

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Radiology case reports 2025年第1期20卷 817-822页

作者： Fatma Shakarchi Avery Zhou Tuan Anh Nguyen Saif Aldeen Alryalat Osama Al Deyabat Fernando Ahumada Peter Mortensen Orlando Diaz Andrew G Lee Climate Centre International Red Cross Red Crescent Movement Geneva Switzerland. Health and Natural Sciences Space Generation Advisory Council Vienna Austria. University of Nevada Las Vegas School of Medicine Las Vegas NV USA. Tri-Institutional MD-PhD Program Weill Cornell/Rockefeller/Sloan-Kettering New York NY USA. Department of Ophthalmology Houston Methodist Hospital Houston TX USA. Department of Neuroradiology Houston Methodist Hospital Houston TX USA. Departments of Ophthalmology Neurology and Neurosurgery Weill Cornell Medicine New York NY USA. Department of Ophthalmology University of Texas Medical Branch Galveston TX USA. University of Texas MD Anderson Cancer Center Houston TX USA. Texas A&M College of Medicine TX USA. Department of Ophthalmology The University of Iowa Hospitals and Clinics Iowa City IA USA.

Dural arteriovenous fistulas (DAVFs) are rare but significant intracranial vascular malformations that are usually idiopathic and can lead to severe complications like venous hypertension and intracranial hemorrhage. We present 2 cases of DAVF occurring after venous sinus stenting (VSS) for presumed idiopathic intracranial hypertension (IIH) in a 51-year-old and a 52-year-old female. In both patients, Cognard type 1 DAVF was detected by Catheter angiography and successfully obliterated with Onyx™ embolization. These cases suggest that VSS may either unmask pre-existing DAVFs by altering intracranial pressure dynamics or induce new fistula formation by angiogenic factors or stent-induced hemodynamic changes. Clinicians should maintain an index of suspicion for DAVF in patients with persistent symptoms post-VSS and catheter angiography might be needed to detect the DAVFs.

关键词： Case report Dural arteriovenous fistula Idiopathic intracranial hypertension Venous sinus stent

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Improving the lifestyle behavior of type 2 diabetes mellitus patients using a mobile application

Improving the lifestyle behavior of type 2 diabetes mellitus...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Andreia Pinto João Viana Diogo Martinho Vítor Crista José Miguel Diniz Joana Reis João Matos David Greer Goreti Marreiros Alberto Freitas Department of Community Medicine Information and Health Decision Sciences (MEDCIDS) Faculty of Medicine Center for Health Technology and Services Research (CINTESIS) University of Porto Porto Portugal Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) Institute of Engineering Polytechnic of Porto Porto Portugal Health Data Science PhD Program Faculty of Medicine Center for Health Technology and Services Research (CINTESIS) University of Porto Lisboa Portugal CLOO - Behavioral Insights Unit Faculty of Psychology CICPSI - Research Center for Psychological Science University of Lisbon Lisboa Portugal Behavioral Insights Unit CLOO Porto Portugal Behavioral Insights Unit CLOO Lisboa Portugal

ISBN: (数字)9781665497923

ISBN: (纸本)9781665497930

Type 2 diabetes is an increasingly prevalent disease and patients do not always manage the disease properly. Therefore, creating tools that help diabetics self-manage their condition over time is of the utmost importance. Technological tools that include features meeting this population's needs, with an integrated personalized feedback system, in an environment of gamified incentives, may be the way for developing a sustained app's usage. This work aims to present a still in development, novel approach to managing diabetes type 2 with a focus on data analysis from user-inputs, gamification, and personalized coaching, with an accessible user interface. Thus, we will present some functionalities, in particular the theoretical and practical concept that is behind this development, namely the Transtheoretical model of behavior change to create different profiles, to provide customized feedback according to the user's behavioral stage, and also to ascertain if it induces any improvement at the behavioral level.

关键词： Computers Data analysis Computational modeling User interfaces Diabetes Behavioral sciences Mobile applications

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Interactive 3D Segmentation for Primary Gross Tumor Volume in Oropharyngeal Cancer

arXiv

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arXiv 2024年

作者： Saukkoriipi, Mikko Sahlsten, Jaakko Jaskari, Joel Orsmaa, Lotta Kangas, Jari Rasouli, Nastaran Raisamo, Roope Hirvonen, Jussi Mehtonen, Helena Järnstedt, Jorma Mäkitie, Antti Naser, Mohamed Fuller, Clifton Kann, Benjamin Kaski, Kimmo Department of Computer Science Aalto University School of Science Espoo Finland Faculty of Information Technology and Communication Sciences Computing Sciences University of Tampere Tampere Finland Department of Radiology Tampere University Faculty of Medicine and Health Technology Tampere University Hospital Tampere Finland Department of Otorhinolaryngology-Head and Neck Surgery Research Program in Systems Oncology Faculty of Medicine University of Helsinki Helsinki University Hospital Helsinki Finland Department of Radiation Oncology The University of Texas MD Anderson Cancer Center HoustonTX United States Artificial Intelligence in Medicine Program Mass General Brigham Harvard Medical School BostonMA United States Department of Radiation Oncology Dana-Farber Cancer Institute Brigham and Women's Hospital Harvard Medical School BostonMA United States The Alan Turing Institute British Library 96 Euston Rd LondonNW1 2DB United Kingdom

The main treatment modality for oropharyngeal cancer (OPC) is radiotherapy, where accurate segmentation of the primary gross tumor volume (GTVp) is essential. However, accurate GTVp segmentation is challenging due to significant interobserver variability and the time-consuming nature of manual annotation, while fully automated methods can occasionally fail. An interactive deep learning (DL) model offers the advantage of automatic high-performance segmentation with the flexibility for user correction when necessary. In this study, we examine interactive DL for GTVp segmentation in OPC. We implement state-of-the-art algorithms and propose a novel two-stage Interactive Click Refinement (2S-ICR) framework. Using the 2021 HEad and neCK TumOR (HECKTOR) dataset for development and an external dataset from The University of Texas md Anderson Cancer Center for evaluation, the 2S-ICR framework achieves a Dice similarity coefficient of 0.713 ± 0.152 without user interaction and 0.824 ± 0.099 after five interactions, outperforming existing methods in both cases. Copyright © 2024, The Authors. All rights reserved.

关键词： Deep learning

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Agricultural All-Terrain Vehicle Safety: Hazard Control Methods Using the Haddon Matrix

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Journal of Agromedicine 2021年第4期26卷 420-435页

作者： Farzaneh Khorsandi Paul Ayers Gerene Denning Charles Jennissen Dee Jepsen Melvin Myers Stephen Oesch Michael Pate David J. White a Agricultural Safety and Health Engineering Assistant Specialist in Cooperative Extension Defpartment of Biological and Agricultural Engineering University of California Davis b Professor Department of Biosystems Engineering and Soil Science University of Tennessee Knoxville c Emeritus Research Scientist in Emergency Medicine Department of Emergency Medicine University of Iowa Carver College of Medicine d MD Clinical Professor of Pediatrics and Emergency Medicine Department of emergency medicine University of Iowa Carver College of Medicine e Associate Professor / State Agricultural Safety Leader Department of Food Agricultural and Biological Engineering agricultural safety and health program The Ohio State University f Associate Professor (Adjunct) Environmental Health Emory University Emory Rollins School of Public Health Atlanta Georgia g Retired highway and motor vehicle safety attorney h Associate Professor Applied Sciences Technology & Education Agricultural Systems Technology and Education program Utah State University i PhD Professor of Social and Behavioral Health Sciences College of Public Health and Human Sciences School of Social and Behavioral Health Sciences and Extension 4-H Youth Development Oregon State University

ABSTRACTABSTRACTAll-terrain vehicle (ATV) crashes are one of the leading causes of death and injury in agriculture across the United States. Use of ATVs is highly prevalent in rural areas and has seen an increase in their application for a variety of agricultural work tasks. Empirical research on the use of these vehicles for agricultural tasks and associated injuries is limited, especially in the United States. Moreover, little is known about the risk factors associated with ATV-related injuries while doing farm work. A comprehensive review was conducted to evaluate the current injury burden of ATV use in agriculture, the need for future research, and possible solutions related to agricultural ATV safety. Potential injury prevention approaches are evaluated based on the hierarchy of control, including elimination or substitution (using side-by-side vehicles instead of ATVs or modifying ATV design), engineering control (operator protection devices), administrative authority (regulations and standards in the United States and around the world), training, and use of personal protective equipment. In addition, vehicle nomenclature, risk factors, and crash mechanisms are reviewed. Recommendations to decrease the likelihood of ATV crashes and injuries are provided.

关键词： Agriculture all-terrain vehicle ATV quad bike safety

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