安全科学与韧性(英文)Pub Date : 2024-09-12DOI: 10.1016/j.jnlssr.2024.07.002
Jie Yang , Xiaoxue Yan
{"title":"Effects of firefighters’ protective gloves on physiological responses, psychological responses, and manual performance in a cold environment","authors":"Jie Yang , Xiaoxue Yan","doi":"10.1016/j.jnlssr.2024.07.002","DOIUrl":"10.1016/j.jnlssr.2024.07.002","url":null,"abstract":"<div><div>This study aimed to investigate the effects of firefighters' protective gloves on physiological responses, psychological responses, and manual performance in a cold environment through human trials. Twelve participants wearing firefighter protective equipment were exposed to a 16 °C environment, while their hands were exposed to a small chamber of 0 °C with (FPG) and without (CON) firefighting protective gloves. During the trials, physiological responses (core temperature (T<sub>c</sub>), the mean skin temperature (T<sub>sk</sub>), and heart rate (HR)), psychological responses (thermal sensation vote (TSV) and pain sensation vote (PSV)), and manual performance (handgrip strength, manual dexterity, maximum finger flexion, and tactile sensitivity)) were obtained. The results indicated a significant difference (<em>p</em> < 0.05) between FPG and CON regarding T<sub>sk</sub>. Furthermore, pain sensation occurred when the mean skin temperature of the hand was between 15 °C and 20 °C. Gloves significantly (<em>p</em> < 0.05) reduced handgrip strength, manual dexterity, and tactile sensitivity in the cold exposure. This study provides fundamental knowledge for cold strain assessment and high-performance protective glove development with the potential to improve firefighters’ safety and health.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 1","pages":"Pages 48-57"},"PeriodicalIF":3.7,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-09-10DOI: 10.1016/j.jnlssr.2024.07.003
Kaiqiang Wang , Zhigang Shang , Weijun Liu , Kang Wen , Jun Zhang , Bin Yao , Weiguo Song
{"title":"An experimental study of fire development under varying ventilation conditions during the depressurization process in pressurized buildings","authors":"Kaiqiang Wang , Zhigang Shang , Weijun Liu , Kang Wen , Jun Zhang , Bin Yao , Weiguo Song","doi":"10.1016/j.jnlssr.2024.07.003","DOIUrl":"10.1016/j.jnlssr.2024.07.003","url":null,"abstract":"<div><div>Hermetic pressurized buildings are a new type of building in high-altitude areas that efficiently addresses issues such as high-altitude reactions. The indoor pressure is higher than the external pressure under working conditions, and pressure relief must be carried out first during emergencies. The emergency pressure relief process during a fire may lead to complex fire behavior different from that in regular buildings. In this study, we focus on the impact of ventilation conditions and the status of doors in such buildings on fire evolution and smoke plume characteristics through experiments. The temperature variation in the fire room and corridor is measured under different ventilation power, ventilation time, and door opening width conditions. This shows that the width of the door has the greatest impact on fire development. A smaller gap in the door opening restricts air circulation between the interior and exterior of the room, resulting in a rapid decrease in the oxygen concentration within the fire room and a decrease in the combustion reaction rate of wood fires. The ventilation power exerts the most significant influence on the temperature variation in the corridor. These findings provide empirical data and a basis for fire science studies in high-altitude hermetic pressurized buildings and can guide existing fire protection design and management for improved safety.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 1","pages":"Pages 70-78"},"PeriodicalIF":3.7,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-09-07DOI: 10.1016/j.jnlssr.2024.06.002
Zhou Fangrong , Guo Yuning , Qian Guochao , Ma Yi , Wang Guofang
{"title":"Multi-factor coupled forest fire model based on cellular automata","authors":"Zhou Fangrong , Guo Yuning , Qian Guochao , Ma Yi , Wang Guofang","doi":"10.1016/j.jnlssr.2024.06.002","DOIUrl":"10.1016/j.jnlssr.2024.06.002","url":null,"abstract":"<div><p>The risk of forest fires is substantial due to uneven precipitation distributions and abnormal climate change. This study employs cellular automata principles to analyze forest fire behavior, taking into account meteorological elements, combustible material types, and terrain slopes. The Wang Zhengfei model is utilized to compute fire spread speed, and a multifactor coupled forest fire model is developed. Comparisons with experimental data show a mean calculated fire spread speed of 0.69 m/min, which is consistent with the experimental results. Using the forest fire in Anning city, Yunnan Province, as a case study with a mean burned area of 2281 ha, the burned area, rate of change in burned area, and burning area demonstrated an increasing trend, with fluctuating states in the rate of change of the burning area. Employing the controlled variable method to examine forest fire spreading patterns under varying factors such as wind speed, vegetation type, and maximum slope reveals that under wind influence, the fire site adopts an elliptical shape with the downwind direction as the major axis. Quantitatively, when the wind speed increases from 2 m/s to 10 m/s, the burned area expands by a factor of 1.37. The ratio of the combustible material configuration coefficient to the burned area remains consistent across the different vegetation types, and the burned area increases by a factor of 1.92 when the maximum slope increases from 5° to 25°.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 413-421"},"PeriodicalIF":3.7,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449624000422/pdfft?md5=258753683f3aa032bf0211fc586ac4f6&pid=1-s2.0-S2666449624000422-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-08-22DOI: 10.1016/j.jnlssr.2024.07.001
Daniel Lichte
{"title":"Combining Bayesian Networks and MCDA methods to maximise information gain during reconnaissance in emergency situations","authors":"Daniel Lichte","doi":"10.1016/j.jnlssr.2024.07.001","DOIUrl":"10.1016/j.jnlssr.2024.07.001","url":null,"abstract":"<div><div>In the immediacy of an event that disrupts the operation of an infrastructure, the time between its occurrence and the arrival of qualified personnel for emergency response can be valuable. For example, it can be used for gathering information about the status of the infrastructure by using automated reconnaissance devices. In an operation that precedes the intervention of human first responders, such devices can gather information about the situation, providing knowledge about the locations of stressors (e.g. fire), the inaccessibility of parts of the infrastructure or the presence of hazardous materials. In this study, we show how a Bayesian Networks can be used for knowledge representation and how it can be combined with methods from the realm of Multi-Criteria Decision Analysis (MCDA) for situation reconnaissance and route-optimisation in emergency situations, where different criteria (current belief about the location of zones of special interest, such as emergency exits, distance to the next point of interest, etc.) can be considered. As an example, we consider the case of an outbreak of a fire in a building. A pedantic check of all rooms by an automated reconnaissance device would take too long and thus delay intervention. Due to the limited time in which the building can be explored, the route is optimised to gather the greatest possible amount of information in the available time window. Results show how it is possible to maximise the information collected in a limited time window. This is done by discovering the location of fire and any hazardous materials through causal inferences automatically calculated by the Bayesian network. Route optimisation is facilitated by sequential MCDA using a parameter selection that meets the priorities of the specific application example.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 1","pages":"Pages 38-47"},"PeriodicalIF":3.7,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-08-20DOI: 10.1016/j.jnlssr.2024.06.011
Yuxin Sun , Jiansong Wu , Jun Zhang , Yuwei Xiong , Xiaohan Liu , Yiping Bai
{"title":"Scenario construction and vulnerability assessment of natural hazards-triggered power grid accidents","authors":"Yuxin Sun , Jiansong Wu , Jun Zhang , Yuwei Xiong , Xiaohan Liu , Yiping Bai","doi":"10.1016/j.jnlssr.2024.06.011","DOIUrl":"10.1016/j.jnlssr.2024.06.011","url":null,"abstract":"<div><div>In light of escalating urbanization trends and climate change impacts worldwide, the susceptibility of urban power grids to natural disasters has become an overarching global concern. Prior research has predominantly concentrated on singular calamities while often disregarding cumulative repercussions from multiple concurrent events affecting power grid resilience. This investigation presents an exhaustive framework for assessing grid vulnerabilities by quantifying diverse impacts from potential natural disaster scenarios and delineating adaptive pathways for evaluating inadvertent occurrences. The framework amalgamates an extensive array of metrics— including probability assessments, system state evaluations, trigger threshold analyses, responsiveness measurements, and adaptability adjustments— within a dynamic scenario-oriented model. The inquiry progresses through distinct stages: formulating an all-encompassing methodology for assessing vulnerabilities; assessing varied impacts stemming from different environmental perils; mapping out post-disaster evolutions; and executing a case analysis focusing on an urban power grid.</div><div>Concentrating specifically on rainfall, snowfall, and freezing incidents, the case analysis uses locale-specific data to appraise grid susceptibilities while employing multi-criteria decision analysis (MCDA) to facilitate decision-making. During this deliberative process, optimal strategies are derived, and mitigative actions are recommended with the aim of diminishing power-grid vulnerabilities. This investigation underscores intricate risk dynamics within urban power grids while presenting a feasible framework for sustainable planning and effective emergency responses in confronting natural hazards.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 498-511"},"PeriodicalIF":3.7,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-08-16DOI: 10.1016/j.jnlssr.2024.06.009
Zhenxiang Tao , Xiaohan Liu , Ying Li , Peifeng Hu , Weitong Tang , Ning Luo , Jiansong Wu , Rui Yang
{"title":"Intelligent emergency assisted decision-making method based on standard digitalization: Hazardous chemical accidents in industrial parks","authors":"Zhenxiang Tao , Xiaohan Liu , Ying Li , Peifeng Hu , Weitong Tang , Ning Luo , Jiansong Wu , Rui Yang","doi":"10.1016/j.jnlssr.2024.06.009","DOIUrl":"10.1016/j.jnlssr.2024.06.009","url":null,"abstract":"<div><div>Contemporary society is confronted with multifaceted challenges, and the intricate interplay of interconnected factors significantly complicates emergency response efforts. Current practices rely on quick decisions by domain experts; however, the limitations of individual expertise and the urgency of crises hinder both precision and standardization. To address these issues, we propose a novel approach: an intelligent method for emergency decision-making grounded in a standardized digital knowledge graph. First, our study examined the underlying theory of standardized digital transformation and event-chain evolution. This led to the construction of a knowledge graph encompassing standard emergency knowledge, as well as supplementary derivative data pertinent to event response. Second, through the application of semantic analysis and intention recognition of the decision target, coherent and interpretable query sentences for the decision system were crafted. These query sentences then served as a conduit for retrieving standard emergency knowledge relevant to the current emergency situation, as well as potential secondary disasters. The overarching goal is to provide emergency decision makers with effective support mechanisms that are both well informed and tailored to the specific demands of each situation.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 1","pages":"Pages 79-92"},"PeriodicalIF":3.7,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel explicit models for assessing the frictional resistance of pipe piles subjected to seismic effects","authors":"Duaa Al-Jeznawi , Laith Sadik , Saif Alzabeebee , Musab Aied Qissab Al-Janabi , Suraparb Keawsawasvong","doi":"10.1016/j.jnlssr.2024.06.010","DOIUrl":"10.1016/j.jnlssr.2024.06.010","url":null,"abstract":"<div><div>This paper introduces novel explicit models to predict the frictional resistance of open and closed-ended pipe piles subjected to seismic loading. This research employs genetic programming (GP) and multiobjective genetic algorithm-based evolutionary polynomial regression (EPR-MOGA) to develop closed-form expressions for estimating pile frictional resistance, utilizing widely used input parameters for enhanced practicality and applicability in engineering practice. The proposed models are developed using only three input variables: the corrected standard penetration test (SPT) blow count (<em>N</em><sub>1</sub>)<sub>60</sub>, the pile slenderness ratio (<em>L</em>/<em>D</em>), and the peak ground acceleration (PGA). This deliberate reduction in input complexity significantly enhances the models' applicability across a wide range of geotechnical scenarios and industries. The accuracy of the developed models was assessed via the coefficient of determination (<em>R</em><sup>2</sup>), root mean squared error (RMSE), and mean absolute error (MAE). In the case of the GP model, the evaluation metrics for the testing set for open-ended piles (<em>R</em><sup>2</sup>, RMSE, and MAE values) are 0.89, 0.43, and 0.35, respectively, whereas the corresponding values for closed-ended piles are 0.93, 0.38, and 0.3, respectively. On the other hand, the EPR-MOGA approach achieves similarly encouraging results, with performance metrics of 0.92, 0.37, and 0.29 for open-ended piles and 0.91, 0.39, and 0.30 for closed-ended piles.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 1","pages":"Pages 29-37"},"PeriodicalIF":3.7,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-08-09DOI: 10.1016/j.jnlssr.2024.06.007
Frimpong Kwaku Asare, Amin Moniri-Morad, Peter Chidi Augustine, Javad Sattarvand
{"title":"Vehicle-augmented evacuation integer programming model for improving safety and efficiency in underground mines","authors":"Frimpong Kwaku Asare, Amin Moniri-Morad, Peter Chidi Augustine, Javad Sattarvand","doi":"10.1016/j.jnlssr.2024.06.007","DOIUrl":"10.1016/j.jnlssr.2024.06.007","url":null,"abstract":"<div><div>Ensuring the safe evacuation of miners during fire emergencies in the shortest possible time is one of the most critical aspects of underground mining operations. Despite advances in mining evacuation methods, little research has been conducted on mine vehicles in this context. This study proposed a vehicle-augmented evacuation integer programming (VEIP) model to minimize the total evacuation cost as a function of the required evacuation time during fire emergencies. This approach aims to minimize the risk of miners being exposed to dangerous fire conditions by strategically integrating mine vehicles into the evacuation procedure. The approach determines the optimal evacuation path for each miner, considering factors such as available mine vehicles, miners’ locations, refuge chambers, and fresh-air bases. To validate the effectiveness of the developed VEIP model, a case study was conducted using the mine layout of the Turquoise Ridge Underground Mine in the United States. Furthermore, a statistical comparison was conducted between the VEIP model and the evacuation integer programming (EIP) model, tailored to evacuation on foot, to emphasize vehicles' influence on the evacuation process. The results showed that integrating mine vehicles into evacuation procedures significantly reduces the total evacuation time. A cost savings analysis in the VEIP model revealed that the evacuation time savings increase exponentially as the number of miners present during evacuation increases. The potential benefits of using mine vehicles to improve the efficiency of evacuation from underground mine fires were highlighted in this study.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 1","pages":"Pages 21-28"},"PeriodicalIF":3.7,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143155753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-08-08DOI: 10.1016/j.jnlssr.2024.06.008
Wenjun Fu, Jintao Li, Jinghong Wang, Jialin Wu
{"title":"Risk assessment of fire casualty in underground commercial building based on FFTA-BN model","authors":"Wenjun Fu, Jintao Li, Jinghong Wang, Jialin Wu","doi":"10.1016/j.jnlssr.2024.06.008","DOIUrl":"10.1016/j.jnlssr.2024.06.008","url":null,"abstract":"<div><div>With the development of urbanization, underground commercial buildings (UCB) are facing severe challenges in fire safety management due to their unique structure and environmental characteristics. This study constructed a fire casualty risk assessment model that combines fuzzy fault tree analysis (FFTA) and Bayesian network (BN), aiming to quantitatively analyze the dynamic risk of casualties caused by fires in UCB. Fault tree analysis (FTA) is used to comprehensively identify the key risk factors leading to fire casualties in UCB, involving 55 basic events, and the occurrence probability of basic events was calculated via a fuzzy set. The FTA model was transformed into a BN structure via conversion rules and was optimized. The optimized BN model can dynamically analyze the specific fire evolution process and quantify the impacts of different emergency response measures on fire control, evacuation, and casualties. Innovatively, from the post-incident (a historical case study) and pre-incident (two potentially different fire scenarios) perspectives, various emergency plans were scientifically evaluated, providing reasonable suggestions and decision support for emergency management. The results indicate that the model can effectively guide the formulation of fire prevention and control strategies and emergency response work of UCB and provide an innovative tool for improving the safety of UCB and reducing fire accidents and casualties.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 470-485"},"PeriodicalIF":3.7,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
安全科学与韧性(英文)Pub Date : 2024-08-03DOI: 10.1016/j.jnlssr.2024.06.006
Emine Üstünoldu
{"title":"Determination of individual disaster resilience levels of hospital staff: A case study of Kartal Dr. Lütfi Kirdar City Hospital","authors":"Emine Üstünoldu","doi":"10.1016/j.jnlssr.2024.06.006","DOIUrl":"10.1016/j.jnlssr.2024.06.006","url":null,"abstract":"<div><div>Istanbul is one of Turkey's most important financial and industrial centers, and it is located in a region with a high potential for seismicity. Due to its historical architecture and high level of urbanization, the city has a large population and is particularly vulnerable due to the building stock that will be affected by earthquakes. In the event of a possible earthquake in Istanbul, it is crucial that the hospital staff have high levels of disaster resilience/resilience. This is particularly important given the seismically isolated and earthquake-resistant structure of Istanbul Kartal Dr. Lütfi Kırdar City Hospital and its capacity to serve those injured by the earthquake. This study examines the resilience levels of hospital staff at Kartal Dr. Lütfi Kırdar City Hospital in the face of earthquake disasters and the various factors that affect these resilience levels. The data for this study were collected using a 13-question personal information form and the ‘Individual Disaster Resilience Assessment (IDRA)’ scale developed by DiTirro (2018). Descriptive statistics, Pearson Chi-square tests, Independent Samples T-tests, and One-Way ANOVA were used to analyze the data. The research found that the hospital staff's IDRA scores averaged 3.27. It was concluded that the mean resilience score of the participants was above the medium level. The research findings show that receiving disaster training or being prepared for disasters in advance significantly influences individual resistance/resilience. In this context, it is essential to determine the earthquake resistance levels of all healthcare workers in Istanbul, especially those at the city hospital where the study was conducted. Necessary training should be provided, and simulation-based disaster drills should be planned and integrated into in-service training programs. Additionally, projects should be developed to ensure that healthcare workers can reach their hospitals safely during disaster situations.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 449-459"},"PeriodicalIF":3.7,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}