安全科学与韧性(英文)最新文献_第4页

Vehicle-augmented evacuation integer programming model for improving safety and efficiency in underground mines 提高地下矿山安全效率的车辆增强型疏散整数规划模型

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-08-09 DOI: 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}

引用次数: 0

Risk assessment of fire casualty in underground commercial building based on FFTA-BN model 基于 FFTA-BN 模型的地下商业建筑火灾伤亡风险评估

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-08-08 DOI: 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}

引用次数: 0

Determination of individual disaster resilience levels of hospital staff: A case study of Kartal Dr. Lütfi Kirdar City Hospital 确定医院员工的个人抗灾能力水平：卡尔塔尔-吕特菲-克尔达尔博士市医院案例研究

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-08-03 DOI: 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}

引用次数: 0

Improving the industrial safety management system at enterprises with chemically hazardous sites 完善化学危险场所企业的工业安全管理体系

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-07-30 DOI: 10.1016/j.jnlssr.2024.06.005

Pavel V. Yemelin , Sergey S. Kudryavtsev , Natalya K. Yemelina

{"title":"Improving the industrial safety management system at enterprises with chemically hazardous sites","authors":"Pavel V. Yemelin , Sergey S. Kudryavtsev , Natalya K. Yemelina","doi":"10.1016/j.jnlssr.2024.06.005","DOIUrl":"10.1016/j.jnlssr.2024.06.005","url":null,"abstract":"<div><div>This study focuses on developing an industrial and occupational safety management system for enterprises that contain chemically hazardous sites. The methodology, based on an expert approach, enabled the authors to design the structure of the risk management system at such enterprises. It also facilitated the identification of clusters and their descriptors, along with their roles in evaluating the state of the safety management system. The proposed methodology features a flexible and universal structure, making it applicable for assessing industrial and occupational safety across different enterprises, taking into account the specific technological aspects of production processes. In this case study, the authors examined the accident rates, injury hazards, and health risks associated with chemically hazardous sites in enterprises located in the Republic of Kazakhstan. The findings of this study provide a methodological approach that industrial enterprises can use to evaluate the effectiveness of their safety management systems. This allows for the development of measures aimed at preventing chemical accidents and reducing their impacts.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 432-448"},"PeriodicalIF":3.7,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142419958","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}

引用次数: 0

DyHDGE: Dynamic heterogeneous transaction graph embedding for safety-centric fraud detection in financial scenarios DyHDGE：动态异构交易图嵌入，用于金融场景中以安全为中心的欺诈检测

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-07-22 DOI: 10.1016/j.jnlssr.2024.05.005

Xinzhi Wang, Jiayu Guo, Xiangfeng Luo, Hang Yu

{"title":"DyHDGE: Dynamic heterogeneous transaction graph embedding for safety-centric fraud detection in financial scenarios","authors":"Xinzhi Wang, Jiayu Guo, Xiangfeng Luo, Hang Yu","doi":"10.1016/j.jnlssr.2024.05.005","DOIUrl":"10.1016/j.jnlssr.2024.05.005","url":null,"abstract":"<div><div>Dynamic graph fraud detection aims to distinguish fraudulent entities that deviate significantly from most benign entities within an ever-changing graph network. However, when dealing with different financial fraud scenarios, existing methods face challenges, resulting in difficulty in effectively ensuring financial security. In fraud scenarios, transaction data are generated in real time, in which a strong temporal relationship between multiple fraudulent transactions is observed. Traditional dynamic graph models struggle to effectively balance the temporal features of nodes and spatial structural features, failing to handle different types of nodes in the graph network. In this study, to extract the temporal and structural information, we proposed a dynamic heterogeneous transaction graph embedding (DyHDGE) network based on a dynamic heterogeneous transaction graph, considering both temporal and structural information while incorporating heterogeneous data. To separately extract temporal relationships between transactions and spatial structural relationships between nodes, we used a heterogeneous temporal graph representation learning module and a temporal graph structure information extraction module. Additionally, we designed two loss functions to optimize node feature representations. Extensive experiments demonstrated that the proposed DyHDGE significantly outperformed previous state-of-the-art methods on two simulated datasets of financial fraud scenarios. This capability contributes to enhancing security in financial consumption scenarios.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 486-497"},"PeriodicalIF":3.7,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840130","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}

引用次数: 0

Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis 探索医疗人工智能应用中的自动化偏差风险：Bowtie 分析

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-07-19 DOI: 10.1016/j.jnlssr.2024.06.001

Moustafa Abdelwanis, Hamdan Khalaf Alarafati, Maram Muhanad Saleh Tammam, Mecit Can Emre Simsekler

{"title":"Exploring the risks of automation bias in healthcare artificial intelligence applications: A Bowtie analysis","authors":"Moustafa Abdelwanis, Hamdan Khalaf Alarafati, Maram Muhanad Saleh Tammam, Mecit Can Emre Simsekler","doi":"10.1016/j.jnlssr.2024.06.001","DOIUrl":"10.1016/j.jnlssr.2024.06.001","url":null,"abstract":"<div><div>This study conducts an in-depth review and Bowtie analysis of automation bias in AI-driven Clinical Decision Support Systems (CDSSs) within healthcare settings. Automation bias, the tendency of human operators to over-rely on automated systems, poses a critical challenge in implementing AI-driven technologies. To address this challenge, Bowtie analysis is employed to examine the causes and consequences of automation bias affected by over-reliance on AI-driven systems in healthcare. Furthermore, this study proposes preventive measures to address automation bias during the design phase of AI model development for CDSSs, along with effective mitigation strategies post-deployment. The findings highlight the imperative role of a systems approach, integrating technological advancements, regulatory frameworks, and collaborative endeavors between AI developers and healthcare practitioners to diminish automation bias in AI-driven CDSSs. We further identify future research directions, proposing quantitative evaluations of the mitigation and preventative measures.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 460-469"},"PeriodicalIF":3.7,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848550","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}

引用次数: 0

A spatial scene reconstruction framework in emergency response scenario 应急场景中的空间场景重建框架

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-07-15 DOI: 10.1016/j.jnlssr.2024.05.004

Nan Zheng, Danhuai Guo

{"title":"A spatial scene reconstruction framework in emergency response scenario","authors":"Nan Zheng, Danhuai Guo","doi":"10.1016/j.jnlssr.2024.05.004","DOIUrl":"10.1016/j.jnlssr.2024.05.004","url":null,"abstract":"<div><p>Rapid and accurate acquisition and analysis of information is crucial for emergency management, but traditional methods have limitations such as incomplete information acquisition and slow processing speed. The natural language oriented spatial scene reconstruction method provides a new solution for emergency management, but existing generative models have limited understanding of spatial relationships and lack high-quality training samples. To address these issues, this paper proposes a novel spatial scene reconstruction framework. Specifically, the BERT based spatial information knowledge graph extraction method is used to encode the input text, label and classify the encoded text, identify spatial objects and relationships in the text, and accurately extract spatial information. Additionally, a large number of manual experiments were conducted to explore quantitative biases in human spatial cognition, and based on the obtained biases, a greedy resolution method based on cost functions was used to fine tune the layout of conflicting spatial objects and solve the conflicting spatial information in the spatial information knowledge graph. Finally, use graph convolutional neural networks to obtain scene knowledge graph embeddings that consider spatial constraints. In addition, a high-quality training sample set of “text-scene-knowledge graph” was constructed.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 400-412"},"PeriodicalIF":3.7,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449624000434/pdfft?md5=2b433a82099151cad1e129fa737efc0a&pid=1-s2.0-S2666449624000434-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689099","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}

引用次数: 0

Comfort assessment of wind induced vibrations for slender structures by field monitoring and numerical analysis 通过现场监测和数值分析评估风引起的细长结构振动的舒适性

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-07-14 DOI: 10.1016/j.jnlssr.2024.06.004

D. Kesavan Periyasamy, Vinay Shimpi, Madappa VR Sivasubramanian

{"title":"Comfort assessment of wind induced vibrations for slender structures by field monitoring and numerical analysis","authors":"D. Kesavan Periyasamy, Vinay Shimpi, Madappa VR Sivasubramanian","doi":"10.1016/j.jnlssr.2024.06.004","DOIUrl":"10.1016/j.jnlssr.2024.06.004","url":null,"abstract":"<div><p>Slender structures often lead to vibration discomfort for occupants when exposed to wind forces. This study proposes an innovative method for assessing comfort against wind-induced vibrations for slender structures that combines field monitoring, numerical simulations, codal provisions, and Chang's comfort chart. The method utilizes ambient vibration tests (AVT) and operational modal analysis (OMA) to create a reliable finite element (FE) model for the structure. It involves analyzing the time history and calculating the peak acceleration values at various points within the structure using synthetic ambient wind forces derived from superposing waves. The comfort assessment compares peak acceleration values estimated from time history analysis against those provided in Chang's chart for different comfort levels. The effectiveness of the proposed method is demonstrated through a case study on a tall, slender reinforced concrete (RC) staircase structure, confirming its suitability for practical applications.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 383-399"},"PeriodicalIF":3.7,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449624000446/pdfft?md5=4250a56a164f12cd9cb29ec85778ab51&pid=1-s2.0-S2666449624000446-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141692618","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}

引用次数: 0

YOLOv8-EMSC: A lightweight fire recognition algorithm for large spaces YOLOv8-EMSC：适用于大型空间的轻量级火灾识别算法

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-07-14 DOI: 10.1016/j.jnlssr.2024.06.003

Deng Li , Tan Yang , Zhou Jin , Wu Si-qi , Liu Quan-yi

{"title":"YOLOv8-EMSC: A lightweight fire recognition algorithm for large spaces","authors":"Deng Li , Tan Yang , Zhou Jin , Wu Si-qi , Liu Quan-yi","doi":"10.1016/j.jnlssr.2024.06.003","DOIUrl":"10.1016/j.jnlssr.2024.06.003","url":null,"abstract":"<div><p>Stringent fire prevention requirements are imperative in expansive environments. Fire detection in diverse large-scale settings typically relies on sensor-based or AI-driven target detection methods. Traditional fire detectors often suffer from false alarms and missed detections, failing to meet the fire safety requirements of large-scale structures. Many existing target detection algorithms are characterized by substantial model sizes. Some detection terminals in large structures face challenges deploying these models due to constrained computational resources. To address this issue, we propose a lightweight model, YOLOv8-EMSC, derived from YOLOv8n. The incorporation of C2f_EMSC, replacing the C2f module, significantly reduces the model parameters in the enhanced YOLOv8-EMSC model compared to YOLOv8n, thereby enhancing model inference speed. Extensive testing and validation using a custom-built large-scale infrared fire dataset demonstrates a 9.6 % reduction in parameters compared to the baseline model for YOLOv8-EMSC, achieving an average precision of 95.6 %, surpassing both the baseline and mainstream models and significantly enhancing fire detection accuracy in expansive environments.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 4","pages":"Pages 422-431"},"PeriodicalIF":3.7,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449624000458/pdfft?md5=fdc79558b475b9f52bfcaa74255aa789&pid=1-s2.0-S2666449624000458-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141697108","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}

引用次数: 0

Seismic risk assessment and damage analysis: Emerging trends and new developments 地震风险评估和损害分析：新趋势和新发展

IF 3.7

安全科学与韧性(英文) Pub Date : 2024-07-05 DOI: 10.1016/j.jnlssr.2024.04.005

Yi Liu , Yin Gu , Hui Zhang

{"title":"Seismic risk assessment and damage analysis: Emerging trends and new developments","authors":"Yi Liu , Yin Gu , Hui Zhang","doi":"10.1016/j.jnlssr.2024.04.005","DOIUrl":"10.1016/j.jnlssr.2024.04.005","url":null,"abstract":"<div><p>Earthquakes are major catastrophes that cause great life and economic losses to human society and environment. This paper reviews and synthesizes relevant studies, drawing from a systematic examination of 4229 articles from the Web of Science core collection (1982–2023). Employing the CiteSpace visualization and analysis tool, current research and emerging trends in seismic risk assessment are discussed and analyzed. This paper provides a holistic overview of principal contributions, knowledge sources, interdisciplinary characteristics, and principal research topics in this field. Additionally, we propose key technologies that are in urgent need of enhancement, including data availability, quantity and quality of data, interpretability of machine learning models, performance improvement of machine learning methods and application of foundation models, as well as real-time risk assessment techniques. These insights support both theoretical understanding and practical applications of seismic risk assessment and damage analysis.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"5 3","pages":"Pages 365-381"},"PeriodicalIF":3.7,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449624000379/pdfft?md5=4b81526ea2c44a4362633516bc118276&pid=1-s2.0-S2666449624000379-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141709630","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}

引用次数: 0