Journal of Safety Research最新文献

{"title":"Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota","authors":"Tianyi Li ,&nbsp;Joshua Klavins ,&nbsp;Te Xu ,&nbsp;Niaz Mahmud Zafri ,&nbsp;Raphael Stern","doi":"10.1016/j.jsr.2024.12.006","DOIUrl":"10.1016/j.jsr.2024.12.006","url":null,"abstract":"<div><div><em>Introduction</em>: Many factors influence the yielding result of driver–pedestrian interactions, including traffic, vehicle, roadway, pedestrian attributes, and more. While researchers have examined the individual influence of these factors on interaction outcomes, there is a noticeable absence of comprehensive, naturalistic studies in current literature, particularly those investigating the impact of the built environment on driver-yielding behavior. <em>Method</em>: To address this gap, our study introduces an extensive open-source dataset, compiled from video data at 18 unsignalized intersections across Minnesota. Documenting more than 3000 interactions, this dataset provides a detailed view of driver–pedestrian interactions and over 50 distinct contextual variables. The data, which covers individual driver–pedestrian interactions and contextual factors, is made publicly available at <span><span>https://hdl.handle.net/11299/254556</span><svg><path></path></svg></span>. Using logistic regression, we developed a classification model that predicts driver yielding based on the identified variables. <em>Results</em>: Our analysis indicates that vehicle speed, the presence of parking lots, proximity to parks or schools, and the width of major road crossings significantly influence driver yielding at unsignalized intersections. <em>Conclusions</em>: Through our findings and by publishing one of the most comprehensive driver–pedestrian datasets in the United States, our study will support communities across Minnesota and the United States in their ongoing efforts to improve road safety for pedestrians and be helpful for automated vehicle design. <em>Practical Applications</em>: We have compiled a dataset on driver–pedestrian interactions at 18 unsignalized intersections in Minnesota, making it one of the most extensive datasets available in the United States. This dataset can be utilized by researchers and local agencies to enhance intersection safety and walkability. Furthermore, our study proposes recommendations for increasing pedestrian safety at intersections, providing valuable insights that local governments can use as guidance for designing future intersections.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 331-345"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A predictive equation for maximum acceptable efforts based on duty cycle in repetitive back-involved tasks","authors":"Niromand Jasimi Zindashti ,&nbsp;Karla Beltran Martinez ,&nbsp;Ali Golabchi ,&nbsp;Mahdi Tavakoli ,&nbsp;Hossein Rouhani","doi":"10.1016/j.jsr.2024.12.003","DOIUrl":"10.1016/j.jsr.2024.12.003","url":null,"abstract":"<div><div><em>Introduction:</em> There are many different tasks involved within a workplace, and assessing the required efforts for performing them depends on factors such as the human’s body posture, task nature, and number of repetitions. This study aims to develop an equation for back-involved repetitive tasks that relates the maximum acceptable effort (MAE), the maximum acceptable efforts that an individual can sustain for a specific task and is expressed as a percentage of the maximum strength, to the duty cycle, the amount of time an individual is engaged in a task relative to the total time. The equation was derived based on psychophysical data collected from previous studies on lifting, lowering, and carrying tasks. The literature search identified studies reporting maximum acceptable loads (e.g., forces and toques) for back-involved tasks. <em>Method:</em> Data analysis was done by calculating duty cycles and for each task. Statistical tests were conducted to compare the results across different parameters, such as sex, task nature, lifting box size, box distance from the body, and population percentages. <em>Results:</em> The results showed a strong negative relationship between duty cycle and MAE. This relationship shows that by increasing the duty cycle, MAE should be decreased to be acceptable and prevent worker’s fatigue. The developed equation was compared to existing equations for upper-limb tasks and demonstrated a close resemblance. Additionally, statistical analysis indicated that the proposed equation eliminated the effects of various parameters. The proposed equation provides an individual-specific approach for estimating MAEs and can contribute to preventing workers’ fatigue and injury and reducing their associated costs.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 504-510"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sticky interventions for a sticky problem: A systematic review of recent workplace mental health stigma reduction interventions with implications for training transfer","authors":"Tristan William Casey ,&nbsp;Xiaowen Hu ,&nbsp;Clarissa Carden ,&nbsp;Qian Yi Lee","doi":"10.1016/j.jsr.2025.01.003","DOIUrl":"10.1016/j.jsr.2025.01.003","url":null,"abstract":"<div><h3>Introduction</h3><div>Organizations are increasingly turning their attention to managing the stigma associated with mental health conditions. Most interventions tend to be training-based; however, research on mental health stigma reduction has not adopted theories and concepts from health and safety training literature to evaluate how effective these interventions are, and what training design and delivery features result in better training transfer.</div></div><div><h3>Method</h3><div>To fill this gap and develop a strategic agenda for future research, we undertook a systematic qualitative literature review of 27 articles (including both published and unpublished studies), as well as some high-quality grey literature. We applied a health and safety training transfer model and used descriptive and thematic analyses to critically appraise the articles reviewed.</div></div><div><h3>Results</h3><div>Our analysis highlighted how existing studies focus on short-term learning outcomes (i.e., changes in knowledge, skills, and attitudes) without considering the actual experience of the training (i.e., training engagement) and long-term outcomes (i.e., training transfer). Although most reviewed studies considered training design (e.g., trainer credibility) and delivery factors (e.g., online vs. face to face), the consideration of pre-training factors was absent.</div></div><div><h3>Conclusions and Practical Applications</h3><div>Avenues for future research such as exploring ways to boost behavioral change following stigma training, and practical implications to boost transfer of stigma reduction trainings, mapped against the training transfer framework, are also explored.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 448-458"},"PeriodicalIF":3.9,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the factors behind cellphone-distracted crashes: Assessing injury severity among distracted drivers in states with and without cell phone bans","authors":"Mouyid Islam ,&nbsp;Niloufar Shirani","doi":"10.1016/j.jsr.2024.11.004","DOIUrl":"10.1016/j.jsr.2024.11.004","url":null,"abstract":"<div><div><em>Introduction:</em> Distracted driving, particularly due to cellphone usage, poses a serious threat to road safety by diverting drivers’ attention from the road to activities like calling, talking, and texting. This not only jeopardizes the safety of the drivers themselves but also puts other road users at risk. To address this issue, many states have enacted laws prohibiting cellphone use while driving. This study investigates the impact of such laws on the severity of driver injuries, focusing on a comparison between Connecticut and Florida. <em>Method:</em> The study examines four years of crash data, during which Connecticut banned handheld phone use while driving, while Florida allowed hands-free use and treated handheld phone use as a secondary offense. Using random parameter logit models with heterogeneity in means and variances, the analysis identified differences in risk factors contributing to driver injury severity in both states with and without a cellphone ban. <em>Results:</em> Despite variations in data collection methods and variables across states, the study aligns and compares commonly defined and measured variables from crash incidents. The analysis identified 26 statistically significant variables in both models, with only four variables consistently affecting all levels of driver injury severity. These common risk factors include the involvement of newer vehicles (less than five years old from the crash involvement), incidents involving shoulders, young drivers (under 30 years old), and seat belt usage. <em>Conclusions/Practical Applications:</em> The findings emphasize the importance of modern safety features in newer vehicles, improved roadside design, driver training, and law enforcement measures targeting younger drivers to promote seat belt usage and mitigate distracted driving risks.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 192-206"},"PeriodicalIF":3.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative modeling of risk factors for near-crashes from crowdsourced bicycle airbag helmet data and crashes from conventional police data","authors":"Kuan-Yeh Chou,&nbsp;Mads Paulsen,&nbsp;Anders Fjendbo Jensen,&nbsp;Thomas Kjær Rasmussen,&nbsp;Otto Anker Nielsen","doi":"10.1016/j.jsr.2024.10.003","DOIUrl":"10.1016/j.jsr.2024.10.003","url":null,"abstract":"<div><div><em>Introduction:</em> Conventional cycling crash data is valuable for shaping safe cycling environments but has limitations due to the rarity and under-reporting of cycling crashes. However, recent technological developments can provide information from near-crashes. the subheads should be italic, not bf. Also in the Abstract, there shouldn’t be hard return between subheads, the whole section should all run together, so run up any text between subheads. <em>Method:</em> With Metropolitan Copenhagen as a case, this study uses a very large crowdsourced near-crash dataset from Hövding bicycle airbag helmet users and conventional police crash data to model and identify differences in the infrastructure factors influencing rates of crashes and near-crashes in these datasets. <em>Results:</em> In contrast to existing literature, our results show considerable differences in the factors influencing the frequency of crashes and near-crashes. The risk of crashes increases predominantly at intersections and roundabouts, whereas near-crashes are also associated with infrastructure types shared with pedestrians. <em>Conclusion:</em> When used complementarily, crowdsourced near-crash data can enrich the data foundation and help increase the awareness of near-crash-prone infrastructure types necessary for shaping more comprehensive cycling safety policies. <em>Practical Applications:</em> The findings of the study advocate for a broader perspective on cyclist safety, incorporating currently undisclosed near-crash-prone infrastructure types, such as paths shared by cyclists and pedestrians.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 465-480"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143075946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Special Report from the CDC: Driving under the influence of alcohol, marijuana, or other illicit drugs among drivers aged ≥16 years — National Survey on Drug Use and Health, 2016–2019","authors":"Amy C. Schumacher ,&nbsp;Lauren A. De Crescenzo ,&nbsp;Merissa A. Yellman ,&nbsp;Erin K. Sauber-Schatz","doi":"10.1016/j.jsr.2024.09.017","DOIUrl":"10.1016/j.jsr.2024.09.017","url":null,"abstract":"<div><div><em>Introduction:</em> This study describes the prevalence of driving under the influence of alcohol (DUIA), marijuana (DUIM), or other illicit drugs (DUID) in the United States over time. <em>Method:</em> This study analyzed data from 2016–2019 National Survey on Drug Use and Health public-use files. The study sample was limited to drivers aged ≥16 years. Prevalence in 2019 and 2016–2019 trends were assessed overall, by sociodemographic characteristics, and by seatbelt use. <em>Results</em>: The 2019 overall prevalence of DUIA, DUIM, and DUID during the past year was 8.3%, 5.3%, and 0.9%, respectively. DUIA, DUIM, and DUID prevalence was highest for drivers who were male (10.6%, 7.0%, and 1.2%, respectively), not heterosexual (12.3%, 14.7%, and 3.5%, respectively), and did not always wear a seatbelt (12.1%, 11.5%, and 3.1%, respectively). DUIA and DUIM were highest among drivers aged 21–25 years; DUID was highest among drivers aged 21–25 or 26–34 years. From 2016 to 2019, overall DUIA decreased slightly, DUIM increased (4.5% to 5.3%), and DUID did not change; trends differed across sociodemographic groups. <em>Conclusions:</em> DUI is a pervasive public health issue. There are ≥10,000 DUIA crash deaths in the United States annually; proven interventions exist to prevent these deaths. Decision makers can save lives and make our roadways safer by implementing proven strategies to reduce DUIA, including lowering the legal blood alcohol concentration (BAC) for driving. Improved data and more research are needed to understand DUIM and DUID burden and determine effective prevention strategies, especially in the context of increasing DUIM. <em>Practical Applications:</em> There were groups for which changes in behavior patterns were found, which could guide prevention efforts. For drivers who did not always wear a seatbelt, DUIA decreased while DUIM increased. A similar pattern was noted for drivers aged 26–34 years; additionally, DUID increased in this group.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 505-515"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter from the editors – Cycling special issue","authors":"Kathleen Porretta,&nbsp;Jonathan Thomas,&nbsp;Ken Kolosh,&nbsp;Sergey Sinelnikov","doi":"10.1016/j.jsr.2024.10.007","DOIUrl":"10.1016/j.jsr.2024.10.007","url":null,"abstract":"","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 516-517"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying the biomechanical effects of back-support exoskeletons on work movements using statistical parametric mapping","authors":"Julia Riemer ,&nbsp;Sascha Wischniewski ,&nbsp;Thomas Jaitner","doi":"10.1016/j.jsr.2024.09.010","DOIUrl":"10.1016/j.jsr.2024.09.010","url":null,"abstract":"<div><div><em>Introduction:</em> In response to physically demanding industrial environments, back-support exoskeletons (BSEs) have emerged as assistive devices. However, their functional interaction with body structures and potential in preventing musculoskeletal disorders (MSDs) remain unclear. The objective of this study was to analyze biomechanical motion sequences throughout the entire process of different work movements and provide a comprehensive assessment of the influence of BSE. <em>Method:</em> Using statistical parametric mapping (SPM) methodology, we examined and quantify the magnitude of significant effects of BSEs on muscle activity (MA) and kinematic movement patterns during lifting, carrying, walking, and static bending in a standardized manner. <em>Results:</em> Significant changes with large effect sizes were identified during the downward phase of the lifting task, indicating decreased MA in the musculus (M.) biceps femoris and a reduced hip flexion. The usage of BSEs during carrying and walking resulted in a decreased MA of M. biceps femoris during the legs’ pre- and mid-swing phases, accompanied by an increased knee and ankle flexion. These changes in MA and kinematics, especially when the BSEs exert pressure on the leg shells through their supporting function, may be indicative of strain in other body regions due to the BSEs. <em>Practical Applications:</em> We suggest that the evaluated effects may lead to the non-use of BSEs in the workplace and should therefore be considered in the development of alternative BSE designs.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 492-504"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of an ergonomic training with exercise program for work-related musculoskeletal disorders among hemodialysis nurses: A pilot randomized control trial","authors":"Meng-Jung Lee ,&nbsp;Chi-Jane Wang ,&nbsp;Jer-Hao Chang","doi":"10.1016/j.jsr.2024.09.007","DOIUrl":"10.1016/j.jsr.2024.09.007","url":null,"abstract":"<div><div><em>Introduction:</em> Hemodialysis nurses suffer a high prevalence of work-related musculoskeletal disorders due to the nursing job contents and high repetition. A practical ergonomic program was expected to improve their occupational health and musculoskeletal discomfort. This study developed an ergonomic training program with exercise and examined its effectiveness for musculoskeletal discomfort and muscle strength in hemodialysis nurses. <em>Method:</em> A cluster pilot randomized control trial was conducted. Participant nurses were from two hemodialysis units at two medical centers in Taiwan in 2019 and 2020. A 12-week ergonomic program with exercise customized by the job analysis of hemodialysis nursing tasks applied to the intervention group (n = 14). A mobile messenger application was adopted to remind, monitor, and consult the implementation of exercises. The musculoskeletal discomfort degree and muscle strength were measured before and after training as well as the follow-up after another 12 weeks. The training effect between the intervention group and the control group (n = 20), was analyzed by the generalized estimating equations model. <em>Results:</em> The significant improvements in muscle strength of the wrist and pinch power of the dominant hand were identified after training. The sustaining effect showed significant decreases in musculoskeletal discomfort degrees in the elbows, wrists/hands, knees, and ankles/feet. Training participants achieved an 80% adherence rate to the exercise program, facilitated by a convenient mobile messenger application. They also responded with very high satisfaction with all the ergonomic education, exercise regimen, and use of resistance devices. <em>Conclusions:</em> This trial approves the effectiveness of the developed program for hemodialysis nurses and its feasibility in clinical practice. <em>Practical Applications:</em> This ergonomic training with a customized exercise program for hemodialysis nurses can serve as a valuable educational resource for hemodialysis nurses to mitigate work-related musculoskeletal disorders and improve occupational strength. Integrating the support of remote technology can enhance program adherence in hectic work environments.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"91 ","pages":"Pages 481-491"},"PeriodicalIF":3.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An evaluation of driver comprehension of the Pedestrian Hybrid Beacon","authors":"Angelina Caggiano ,&nbsp;Jaji Pamarthi ,&nbsp;Tracy M. Zafian ,&nbsp;Michelle Y. Deng ,&nbsp;Kirsten Johnson ,&nbsp;Francis Tainter ,&nbsp;Michael Knodler","doi":"10.1016/j.jsr.2024.11.001","DOIUrl":"10.1016/j.jsr.2024.11.001","url":null,"abstract":"<div><div><em>Introduction:</em> The Pedestrian Hybrid Beacon (PHB) has become increasingly common since it was first implemented in 2015 at midblock pedestrian crossings in Massachusetts. The tri-signal head design includes signal sections displaying two red indications above a single yellow indication. PHBs are used as a method of increasing the safety of vulnerable road users by stopping vehicles at high-traffic and high-speed midblock crosswalks. This study was developed to evaluate both driver behavior and comprehension related to the use of PHBs in Massachusetts. <em>Methods:</em> The study utilized one online survey to create a PHB inventory, and a second online survey to measure driver comprehension of PHBs. The first survey was motivated to gauge potential exposure to PHBs and supplied an estimated 40 PHB installations with a primary concentration in Eastern Massachusetts. These efforts were paired with the second survey that was disseminated to drivers in Massachusetts and elsewhere to investigate the typical driver’s understanding of PHB intervals: Dark, Flashing Yellow (FY), Solid Yellow (SY), Solid Red (SR), and Flashing Red (FR). <em>Results:</em> The comprehension survey’s results provide evidence to suggest that driver behaviors are inconsistent with the recommended actions in PHB user guides. Specifically, the FY and FR intervals cause the greatest amount of confusion for drivers. <em>Conclusions:</em> This study also examines the reasons why drivers may be confused and offers recommendations for PHB education and outreach practices. <em>Practical Applications:</em> PHBs can increase pedestrian conspicuity on midblock crossings. Correct use of PHBs by drivers and pedestrians is crucial for facilitating safe crossings and traffic flow. However, many research efforts have not studied drivers’ understanding of PHB intervals. Communities with PHBs present should consider education and outreach prior to and during PHB implementation.</div></div>","PeriodicalId":48224,"journal":{"name":"Journal of Safety Research","volume":"92 ","pages":"Pages 181-191"},"PeriodicalIF":3.9,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}