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The role of emergency incident type in identifying first responders' health exposure risks

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Journal of Safety Science and Resilience 2023年第2期4卷 167-173页

作者： Emily J.Haas katherine N.Yoon Alexa Furek Megan Casey Susan M.moore National Personal Protective Technology Laboratory(NPPTL) National Institute for Ocupational Safety and Health(NIOSH)PittsburghPA 15236United States National Personal Protective Technology Laboratory(NPPTL) National Institute forOccupational Safety and Health(NIOSH)MorgantownWV2605United States

Fire-based emergency management service(EMS)personnel are dispatched to various incidents daily,many of which have unique occupational *** fully understand the variability of incident types and how to best pre-pare and respond,an exploration of the *** system of incident types is *** study uses potential exposure to SARS-CoV-2 as a case example to understand if and how coding categories for incident call types may be updated to improve data standardization and emergency response decision *** received emergency response incident data generated by three fire department computer-aided dispatch(CAD)systems between March and September *** incident was labeled EMS,Fire,or *** the 162,766 incidents,approximately 8.1%(n=13,144)noted potential SARS-CoV-2 exposure within their narrative descriptions of which 86.3%were coded as EMS,9.9%as Fire,and 3.9%as *** assess coding variability across incident types,researchers used the original 3-incident type variable and a new 5-incident type variable reassigned by researchers into EMS,Fire,Other,Hazmat,and Motor *** regressions compared differences in potential exposure using the 3-and 5-incident type *** evaluating the 3-incident type variable,those respond-ing to a Fire versus an EMS incident were 84%less likely to be associated with potential exposure to *** the 5-incident type variable,those responding to Fire incidents were 77%less likely to be associated with a potential exposure than those responding to EMS *** in potential exposure between the 3-and 5-incident type models show the need to understand how incident types are *** demonstrates the need for data standardization to accurately categorize incident types to improve emergency preparedness and *** have implications for incident type coding at fire department municipality and national levels.

关键词： Emergencymedical se Firefighter Incident type Surveillance Telecommunicator

COVID-19 associated liver injury:A general review with special consideration of pregnancy and obstetric outcomes

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World Journal of Gastroenterology 2022年第42期28卷 6017-6033页

作者： katherine M.Cooper Alessandro Colletta Alison M.Asirwatham Tiffany A.moore Simas Deepika Devuni Department of Medicine University of Massachusetts Chan Medical SchoolWorcesterMA 01605United States Department of Obstetrics and Gynecology University of Massachusetts Chan Medical SchoolWorcesterMA 01605United States Departments of Pediatrics Psychiatryand Population&Quantitative Health SciencesUniversity of Massachusetts Chan Medical SchoolWorcesterMA 01605United States Division of Gastroenterology and Hepatology University of Massachusetts Chan Medical SchoolWorcesterMA 1605United States

Liver injury is an increasingly recognized extra-pulmonary manifestation of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)*** disease 2019(COVID-19)associated liver injury(COVALI)is a clinical syndrome encompassing all patients with biochemical liver injury identified in the setting of SARS-CoV-2 *** profound clinical implications,its pathophysiology is poorly ***,most information on COVALI is derived from the general population and may not be applicable to individuals under-represented in research,including pregnant *** manuscript reviews:Clinical features of COVALI,leading theories of COVALI,and existing literature on COVALI during pregnancy,a topic not widely explored in the ***,we synthesized data from the general and perinatal populations that demonstrates COVALI to be a hepatocellular transaminitis that is likely induced by systemic inflammation and that is strongly associated with disease severity and poorer clinical outcome,and offered perspective on approaching transaminitis in the potentially COVID-19 positive patient in the obstetric setting.

关键词： COVID-19 liver injury Pregnancy Perinatal liver disease Systemic inflammation Special populations

Epigenetics of gastroenteropancreatic neuroendocrine tumors:A clinicopathologic perspective

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World Journal of Gastrointestinal Oncology 2017年第9期9卷 341-353页

作者： Brendan M Finnerty katherine D Gray Maureen D moore Rasa Zarnegar Thomas J FaheyⅢ Department of Surgery New York Presbyterian HospitalWeill Cornell MedicineNew YorkNY 10065United States

Gastroenteropancreatic neuroendocrine tumors(GEP-NETs) are a heterogeneous group of rare tumors whose site-specific tumor incidence and clinical behavior vary widely. Genetic alterations associated with familial inherited syndromes have been well defined; however, the genetic profile of sporadic tumors is less clear as their tumorigenesis does not appear to be controlled by classic oncogenes such as P53, RB, or KRAS. Even within GEP-NETs, there are no common oncogenic drivers; for example, DAXX/ATRX mutations are strongly implicated in the tumorigenesis of pancreatic but not small bowel NETs. Accordingly, the dysregulation of epigenetic mechanisms has been hypothesized as a potential regulator of GEPNET tumorigenesis and has become a major focus of recent studies. Despite the heterogeneity of tumor cohorts evaluated in these studies, it is obvious that there are methylation patterns, chromatin remodeling alterations, and microR NA and long non-coding RNA(lncR NA) differential expression profiles that are distinctive of GEPNETs, some of which are correlated with significant differences in clinical outcomes. Several translational studies have provided convincing data identifying potential prognostic biomarkers, and some of these have demonstrated preliminary success as serum biomarkers that can be used clinically. Nevertheless, there are many opportunities to further define the mechanisms by which these epigenetic modifications influence tumorigenesis, and this will provide better insight into their prognostic and therapeutic utility. Furthermore, these findings form the foundation for future studies evaluating the clinical efficacy of epigenetic modifications as prognostic biomarkers, as well as potential therapeutic targets.

关键词： Epigenetics Carcinoid Neuroendocrine MicroRNA Methylation Histone modifications Chromatin remodeling LncRNA

知识转化和可持续性背景下的社会运动概念和行为:概念分析

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International Journal of Nursing Sciences 2022年第4期9卷 411-421页

作者： Doris Grinspun katherine Wallace Shelly-Anne Li Susan McNeill Janet Elaine Squires Jesús Bujalance Maryanne D’Arpino Gina De Souza Nataly Farshait John Gabbay Ian D.Graham Alison Hutchinson Kim Kinder Celia Laur Tina Mah Julia E.moore Jennifer Plant Jodi Ploquin P.Jim A.Ruiter Daphney St-Germain Margie Sills-Maerov May Tao Marita Titler Junqiang Zhao Registered Nurses’Association of Ontario TorontoCanada Lawrence S.Bloomberg Faculty of Nursing University of TorontoTorontoCanada School of Nursing University of OttawaOttawaCanada Ottawa Hospital Research Institute OttawaCanada Regional University Hospital of Malaga MalagaSpain Healthcare Excellence Canada OttawaCanada HIROC TorontoCanada University of Southampton SouthamptonEnglandUK Department of Epidemiology and Community Medicine University of OttawaOttawaCanada School of Nursing and Midwifery Deakin University AustraliaVictoriaAustralia Women’s College Hospital Institute for Health System Solutions and Virtual Care(WIHV) TorontoCanada Institute for Health Policy Management and EvaluationUniversity of TorontoTorontoCanada Schlegel-UW Research Institute for Aging WaterlooCanada The Center for Implementation TorontoCanada Queensway Carleton Hospital OttawaCanada Alberta Health Services EdmontonCanada Salus Global(retired) LondonCanada Laval University Pavilion Ferdinand-Vandry Quebec CityCanada Thought Architects EdmontonCanada Toronto Public Health TorontoCanada School of Nursing University of MichiganAnn ArborUnited States

目的进行社会运动的概念分析,促进其应用于健康领域的知识转化和可持续性。方法应用Avant和Walker的方法阐明知识转化和可持续性背景下社会运动的概念。系统检索了同行评审和灰色文献数据库中描述社会运动行为如何促成健康照护和社... 详细信息

目的进行社会运动的概念分析,促进其应用于健康领域的知识转化和可持续性。方法应用Avant和Walker的方法阐明知识转化和可持续性背景下社会运动的概念。系统检索了同行评审和灰色文献数据库中描述社会运动行为如何促成健康照护和社区环境中循证实践变革的文章,2名研究者对标题、摘要和全文进行了独立审查,对结果协商一致。最终共纳入38篇文章。结果促进知识转化和可持续性的社会运动可以被定义为:个人、团体或组织作为自愿和具有内在动机的变革推动者,围绕一个共同目标动员起来,通过知识转化和可持续性的努力改善结局。通过概念分析,共确定了10个概念属性、3个前置因素和3个结局指标。它们是动态的、相互关联的,往往相互促进以强化社会运动的各个方面。重要的概念属性包括行动的迫切性、集体行动和集体认同等。基于概念分析结果建立社会运动行为框架。结论社会运动行为可以提供看待实施科学的新视角。集体行动和集体认同--在实施科学文献中不太常见的概念--有助于深入了解基层方式对知识转化和可持续性的作用。研究结果可以指导健康照护者和变革领导者利用社会运动的视角实现现实中的变革项目。通过社会运动方式动员个人、团体或组织,使之作为强有力的变革推动者和团队参与变革,影响个人、组织和卫生系统,促进知识转化和可持续性。

关键词：集体行动集体认同基层实施科学知识到行动动员社会运动行为

提高主动性、参与性和学习效果的PhET仿真教学软件

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物理 2014年第6期43卷 409-413页

作者：卡尔.威曼 Wendy K.Adams katherine K.Perkins 丁小冬斯坦福大学物理系斯坦福大学教育学院研究生院 Department of Physics and Astronomy University of Northern Colorado Department of Physics University of Colorado 清华大学物理系北京100084

PhET互动式仿真项目具有深厚的教学研究背景，拥有专业的开发团队，倡导教育资源的开放共享。作为一种源码公开的免费科学教育工具，它构思巧妙，制作精良，下载量超过1.1亿次，研究成果发表在美国Science等有影响力的刊物上。在充分利... 详细信息

PhET互动式仿真项目具有深厚的教学研究背景，拥有专业的开发团队，倡导教育资源的开放共享。作为一种源码公开的免费科学教育工具，它构思巧妙，制作精良，下载量超过1.1亿次，研究成果发表在美国Science等有影响力的刊物上。在充分利用这个教学工具的同时，为了更好地了解其设计思路，借鉴其宝贵经验，有效地改进我们的大课和实验教学以及教学软件开发，应《物理》编辑部的邀请，PhET的发起人Carl E. Wieman博士（斯坦福大学物理系以及教育学院研究生院教授，2001年诺贝尔物理学奖得主），PhET项目前任联席主任Wendy K. Adams博士（北科罗拉多大学物理学与天文学系副教授、北科罗拉多大学科学教育项目（Science Education Programs）的负责人）和PhET项目主任katherine K. Perkins博士（科罗拉多大学波尔多分校物理系副教授、科罗拉多大学科学教育计划（Science Education Initiative）的负责人）联合为《物理》撰文，与读者分享他们在物理教学研究中的成果和经验。

关键词：教学软件开发学习效果仿真科罗拉多大学诺贝尔物理学奖科学教育《物理》教学研究

This work was supported in part by US Department of Energy Los Alamos National Laboratory contract 47145 and UT-Battelle LLC contract 4000159447 program manager Laura Biven.

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Visual Informatics 2020年第2期4卷 122-131页

作者： Yiran Li Takanori Fujiwara Yong K.Choi katherine K.Kim Kwan-Liu Ma Department of Computer Science University of CaliforniaDavisUnited States Betty Irene moore School of Nursing University of CaliforniaDavisUnited States School of Medicine University of CaliforniaDavisUnited States

There is a growing trend of applying machine learning methods to medical datasets in order to predict patients’future *** some of these methods achieve high performance,challenges still exist in comparing and evaluating different models through their interpretable *** analytics can help clinicians improve evidence-based medical decision *** this work,we develop a visual analytics system that compares multiple models’prediction criteria and evaluates their *** our system,users can generate knowledge on different models’inner criteria and how confidently we can rely on each model’s prediction for a certain *** a case study of a publicly available clinical dataset,we demonstrate the effectiveness of our visual analytics system to assist clinicians and researchers in comparing and quantitatively evaluating different machine learning methods.

关键词： Clinical data XAI Tree-based machine learning models Model consistency Measures of dependence Visual analytics