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Reviews and prospects of human factors research on curve driving

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第5期10卷 808-834页

作者： Lei Han Zhigang Du Haoran Zheng Fuqiang Xu Jialin Mei School of Transportation and Logistics Engineering Wuhan University of TechnologyWuhan 430063China Engineering Research Center of Transportation Information and Safety Ministry of EducationWuhan 430063China

In order to fully understand the research progress of human factors and traffic safety in curve driving,from the perspective of driver-vehicle-road-environment dynamic traffic system,this paper explored the current research status and development trend of human factors of curve driving,and displayed the development process and structural relationship of human factors research of curve driving by using scientific knowledge *** the core collection database of Web of Science,1408 English literatures related to human factors research of curve driving published from 2012 to 2022(as of October 1,2022)were obtained,and the literatures in this field were sorted and analyzed based on the VOSviewer visualization *** results show that China,Tongji University and Accident Analysis and Prevention are the country,institution and journal with the largest contribution rate in the field of human factors research on curve ***-citation analysis shows that the research contents in this field are divided into 5 clusters:driver’s visual characteristics,risk of collision,vehicle dynamics characteristics,the influence of traffic engineering facilities on driving behavior,selection of driving *** co-occurrence analysis of keywords shows that the topics of curve geometry design and vehicle dynamics,driving behavior and risk,driving speed and safety,behavior prediction and intervention measures are the current research hotspots in the research *** is found that the development trend of traffic safety improvement in curves is to construct a continuous,consistent,multi-level visual reference frame conforming to driving expectation through visual guiding technology,and summarizes the technical concept of linear visual *** study can provide a reference for the study of human factors of curve driving.

关键词： Traffic engineering human factors Curve driving Bibliometric analysis Visualization VOSviewer

Quantitative Analysis of Natural and human factors of Oasis Change in the Tail of Shiyang River over the Past 60 Years

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Acta Geologica Sinica(English Edition) 2020年第3期94卷 637-645页

作者： CHEN Yong YANG Guojing ZHOU Lihua LIAO Jie WEI Xuan Northwest Institute of Eco-Environment and Resources Chinese Academy of SciencesLanzhou 730000China Institutes of Science and Development Chinese Academy of SciencesBeijing 100190China

The human and natural factors complicit in the driving forces of oasis change have always received considerable interest from the international research community. In this study, we used principal component analysis of natural and socio-economic statistical factors to quantitatively analyze the causal relationships and their contributions to the observed periodic expansion or shrinkage of the Minqin Oasis over almost 60 years. Our results show that human factors were the dominant factors governing expansion or shrinkage, with average contributions of 69.38% and 76.16%, respectively. Moreover, policy decisions have been the pivotal human factors. Under the influence of various policies, we have found that water resource utilization, land reclamation, population explosion, ecological protection and economic development have each played leading roles in different periods. This study provides a scientific basis for modelling the dynamics of an oasis for sustainable management.

关键词： Oasis change natural factors human factors Minqin Oasis

Promoting Clinician Well-Being and Patient Safety Using human factors Science: Reducing Unnecessary Occupational Stress

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Health 2022年第12期14卷 1334-1356页

作者： Michael R. Privitera Professor Emeritus University of Rochester Medical Center Rochester USA

Our healthcare delivery system has accumulated complexity of payment, regulation systems, expectations and requirements. Often these are not designed to align with clinical thinking process flow of patient care. As a result, clinicians are utilizing enormous mental (cognitive) resource to comply with these complexities, over and above the baseline mental effort required to give good care to the patient. Recent studies suggest a significant number of physicians, advanced practice providers and nurses no longer want to stay in healthcare due to difficult work expectations and conditions that have become unreasonable. Technology has benefitted healthcare delivery, but also is a conduit of many expectations that have been grafted upon clinician workloads, exceeding the resources provided to accomplish them. Cognitive load is a measure of mental effort and is divided into Intrinsic, Germane and Extraneous Cognitive Load. Extraneous Cognitive Load (ECL) is what is not necessary and can be removed by better design. High cognitive load is associated with increased risk of both medical error and clinician burnout. Chronic high level occupational stress occurs from dealing with this job/resource imbalance and is showing serious personal health impact upon clinicians and the quality of the work they can provide for patients. Since organizational systems have become more complex, leadership methods, clinician wellbeing and patient safety efforts need to adjust to adapt and succeed. Safety efforts have tended to predominantly follow methods of a few decades ago with predominant focus upon how things go wrong (Safety I) but are now being encouraged to include more of the study of how things go right (Safety II). human factors/Ergonomics (HFE) science has been used in many industries to preserve worker wellbeing and improve system performance. Patient safety is a product of good system performance. HFE science helps inform mechanisms behind Safety I and II approach. HFE concepts a

关键词： human factors Ergonomics Leadership Work Environment Burnout Latent Medical Error Patient Safety Clinician Wellbeing Cognitive Load Experience of Providing Care

human factors/Ergonomics (HFE) in Leadership and Management: Organizational Interventions to Reduce Stress in Healthcare Delivery

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Health 2020年第9期12卷 1262-1278页

作者： Michael R. Privitera Medical Faculty and Clinician Wellness Program University of Rochester Medical Center Rochester NY USA

Clinician Burnout is a personal and public health issue. Most occupational stressors contributing to clinician burnout are systemic. The combination of organizational interventions along with individual interventions is necessary to make significant lasting difference in reducing burnout, improving clinician and patient satisfaction and reducing latent error in healthcare delivery. Application of human factors/Ergonomics (HFE) science in healthcare leadership and management is a gap in current training for leaders. HFE uses concepts from organizational, educational and cognitive science, systems science and industrial engineering. HFE application is especially necessary in a fast changing highly stressful healthcare environment which impacts the wellbeing of clinicians and the safety of patients under care. Practical suggestions for working with various healthcare leadership styles and organizational dynamics, while aligning wellness efforts with institutional mission are discussed. Concrete examples of decreasing extraneous mental load on clinicians to preserve their brainpower to achieve quality patient care are illustrated. Organizational interventions in combination with individual interventions to reduce and manage burnout have enormous potential to improve clinician wellbeing and satisfaction in taking care of patients, reduce costs, risk of error and create the safe working environment needed to sustainably give high quality care to patients.

关键词： Leadership Management Burnout human factors Ergonomics Occupational Stress Organizational Interventions

Analysis and Measure of human factors on Traffic Accidents

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Analysis and Measure of Human Factors on Traffic Accidents

New Rental Wheelchair Design in human factors and Engineering Analysis

2004安全科学与技术国际会议

作者： SHEN Feimin LEI Jing & CHEN Bohui (College of Environment and Resources Fuzhou University Fuzhou 350002 Fujian China)

The article analyses the human factors of traffic accidents in traffic accidents by expounding the interactions of people, vehicle, road, environment. A critical cause—human factors is brought up by c

关键词： traffic safety human factors catastrophe model measures

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New Rental Wheelchair Design in Human Factors and Engineerin...

Analysis of human factors in Aviation Maintenance Accidents/Incidents Investigation

第十二届人-机-环境系统工程大会

作者： Xiaoli WU College of Mechanical and Electrical Engineering Hohai University Changzhou Key Digital Manufacturing Technology Laboratory

As the temporary public conveyance for the particular people, the rental wheelchair has certain market demand and designing prospect. After analyzing the different characters of user group in human factors, four design factors were extracted, folding, general-utility, simplicity and durability. And based on Ergonomic analysis of the sedentary posture size, a new kind of folding rental wheelchair has been designed. Then, establishing structure dimension, material, processing technology and using the engineering software, a small model has been made by rapid prototype manufacturing, which has been identical with the fist design factors. The emergence of the rental wheelchair is a concept of the wheelchair produces change, pregnant with the infinite vitality and unlimited business opportunities.

关键词： Rental wheelchair human factors ergonomics in design engineering design

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Analysis of Human Factors in Aviation Maintenance Accidents/...

Disinfection Byproducts and Their Precursors in Drinking Water Sources:Origins,Influencing factors,and Environmental Insights

第十二届人-机-环境系统工程大会

作者： Nongtian CHEN Xin TAN Changchun ZHOU Aviation Engineering Institute Civil Aviation Flight University of China

During the use and maintenance of aircraft, the aviation accidents/incidents are mostly caused by human factors. Investigating a typical aviation maintenance human errors case with the causal logic chain from system safety point based on the human factors analysis theoretical methods. Exploring the underlying reasons of aviation accidents/incidents induced by human factors combined with unsafe behavior implicit and explicit failure theory, to build out the human factors accidents/incidents analysis model and get the investigation results. Conclusion can be used to aviation human errors analysis, providing theoretical guidance to establish system safety and safety culture from the organizational level.

关键词： human factors Aviation Maintenance Accidents/Incidents Investigation

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Engineering 2024年第5期36卷 36-50页

作者： Rong Xiao Yang Deng Zuxin Xu Wenhai Chu State Key Laboratory of Pollution Control and Resource Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China Ministry of Education Key Laboratory of the Yangtze River Water Environment Tongji UniversityShanghai 200092China Department of Earth and Environmental Studies Montclair State UniversityMontclairNJ 07043USA

Tracing the contamination origins in water sources and identifying the impacts of natural and human processes are essential for ecological safety and public ***,current analysis approaches are not ideal,as they tend to be laborious,time-consuming,or technically *** byproducts(DBPs)are a family of well-known secondary pollutants formed by the reactions of chemical disinfectants with DBP precursors during water disinfection *** DBP precursors have various origins(e.g.,natural,domestic,industrial,and agricultural sources),and since the formation of DBPs from different precursors in the presence of specific disinfectants is distinctive,we argue that DBPs and DBP precursors can serve as alternative indicators to assess the contamination in water sources and identify pollution *** providing a retrospective of the origins of DBPs and DBP precursors,as well as the specific formation patterns of DBPs from different precursors,this article presents an overview of the impacts of various natural and anthropogenic factors on DBPs and DBP precursors in drinking water *** practice,the DBPs(i.e.,their concentration and speciation)originally present in source water and the DBP precursors determined using DBP formation potential tests—in which water samples are dosed with a stoichiometric excess of specific disinfectants in order to maximize DBP formation under certain reaction conditions—can be considered as alternative *** jointly used with other water quality parameters(e.g.,dissolved organic carbon,dissolved organic nitrogen,fluorescence,and molecular weight distribution)and specific contaminants of emerging concern(e.g.,certain pharmaceuticals and personal care products),DBPs and DBP precursors in drinking water sources can provide a more comprehensive picture of water pollution for better managing water resources and ensuring human health.

关键词： Disinfection byproducts Disinfection byproduct precursors Drinking water sources Contamination indicator Natural factors human factors

human-artificial intelligence interaction in gastrointestinal endoscopy

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World Journal of Gastrointestinal Endoscopy 2024年第3期16卷 126-135页

作者： John R Campion Donal B O'Connor Conor Lahiff Department of Gastroenterology Mater Misericordiae University HospitalDublin D07 AX57Ireland School of Medicine University College DublinDublin D04 C7X2Ireland Department of Surgery Trinity College DublinDublin D02 R590Ireland

The number and variety of applications of artificial intelligence(AI)in gastr-ointestinal(GI)endoscopy is growing *** technologies based on machine learning(ML)and convolutional neural networks(CNNs)are at various stages of development and deployment to assist patients and endoscopists in preparing for endoscopic procedures,in detection,diagnosis and classification of pathology during endoscopy and in confirmation of key performance *** based on ML and CNNs require regulatory approval as medical *** between humans and the technologies we use are complex and are influenced by design,behavioural and psychological *** to the substantial differences between AI and prior technologies,important differences may be expected in how we interact with advice from AI ***-AI interaction(HAII)may be optimised by developing AI algorithms to minimise false positives and designing platform interfaces to maximise *** factors influencing HAII may include automation bias,alarm fatigue,algorithm aversion,learning effect and *** of these areas merits further study in the specific setting of AI applications in GI endoscopy and professional societies should engage to ensure that sufficient emphasis is placed on human-centred design in development of new AI technologies.

关键词： Artificial intelligence Machine learning human factors Computer-aided detection Colonoscopy Adenoma detection rate