安全科学与韧性(英文)最新文献_第6页

Readiness of financial resilience in start-ups 初创企业的财务弹性准备

安全科学与韧性(英文) Pub Date : 2023-09-01 DOI: 10.1016/j.jnlssr.2023.02.004

Aswathy Sreenivasan, M. Suresh

{"title":"Readiness of financial resilience in start-ups","authors":"Aswathy Sreenivasan, M. Suresh","doi":"10.1016/j.jnlssr.2023.02.004","DOIUrl":"10.1016/j.jnlssr.2023.02.004","url":null,"abstract":"<div><p>Financial resilience refers to a start-up's capacity to anticipate, plan for, respond to, and adapt to gradual change and abrupt unforeseen shocks to survive and thrive by enacting appropriate economic policies to decrease budget deficits. Economic history tells us that more companies fail to emerge from a downturn than go into or during it. Many studies have been done on financial resilience in many dimensions, but no one has studied start-ups’ organizational readiness for financial resilience. This gap inspires the current research, which uses the Total Interpretive Structural Modelling (TISM) approach to identify financial resilience factors and analyze hierarchical interrelationships start-ups’ organizational readiness factors for financial resilience. This article aims to identify, assess, and categorize start-up organizational preparation elements for financial resilience. The result shows that the first importance should be given to digital financial innovation, liquidity planning, going concern consideration, financial strategy of CFOs, and cyberthreats. Managers of start-ups can utilize the findings of this study to prepare for financial resilience professionally. In a fast-paced environment, start-ups may use financial resilience to gain a competitive edge.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47869349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Early smoke and flame detection based on transformer 基于变压器的早期烟雾和火焰检测

安全科学与韧性(英文) Pub Date : 2023-09-01 DOI: 10.1016/j.jnlssr.2023.06.002

Xinzhi Wang , Mengyue Li , Mingke Gao , Quanyi Liu , Zhennan Li , Luyao Kou

{"title":"Early smoke and flame detection based on transformer","authors":"Xinzhi Wang , Mengyue Li , Mingke Gao , Quanyi Liu , Zhennan Li , Luyao Kou","doi":"10.1016/j.jnlssr.2023.06.002","DOIUrl":"10.1016/j.jnlssr.2023.06.002","url":null,"abstract":"<div><p>Fire-detection technology plays a critical role in ensuring public safety and facilitating the development of smart cities. Early fire detection is imperative to mitigate potential hazards and minimize associated losses. However, existing vision-based fire-detection methods exhibit limited generalizability and fail to adequately consider the effect of fire object size on detection accuracy. To address this issue, in this study a decoder-free fully transformer-based (DFFT) detector is used to achieve early smoke and flame detection, improving the detection performance for fires of different sizes. This method effectively captures multi-level and multi-scale fire features with rich semantic information while using two powerful encoders to maintain the accuracy of the single-feature map prediction. First, data augmentation is performed to enhance the generalizability of the model. Second, the detection-oriented transformer (DOT) backbone network is treated as a single-layer fire-feature extractor to obtain fire-related features on four scales, which are then fed into an encoder-only single-layer dense prediction module. Finally, the prediction module aggregates the multi-scale fire features into a single feature map using a scale-aggregated encoder (SAE). The prediction module then aligns the classification and regression features using a task-aligned encoder (TAE) to ensure the semantic interaction of the classification and regression predictions. Experimental results on one private dataset and one public dataset demonstrate that the adopted DFFT possesses high detection accuracy and a strong generalizability for fires of different sizes, particularly early small fires. The DFFT achieved mean average precision (mAP) values of 87.40% and 81.12% for the two datasets, outperforming other baseline models. It exhibits a better detection performance on flame objects than on smoke objects because of the prominence of flame features.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44250782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

An MCDM approach to assessing influential factors on healthcare providers’ safe performance during the COVID-19 pandemic: Probing into demographic variables 基于MCDM方法评估COVID-19大流行期间影响医疗服务提供者安全绩效的因素:人口统计学变量的探讨

安全科学与韧性(英文) Pub Date : 2023-09-01 DOI: 10.1016/j.jnlssr.2023.05.002

Vahid Salehi , Gholamreza Moradi , Leila Omidi , Elnaz Rahimi

{"title":"An MCDM approach to assessing influential factors on healthcare providers’ safe performance during the COVID-19 pandemic: Probing into demographic variables","authors":"Vahid Salehi , Gholamreza Moradi , Leila Omidi , Elnaz Rahimi","doi":"10.1016/j.jnlssr.2023.05.002","DOIUrl":"10.1016/j.jnlssr.2023.05.002","url":null,"abstract":"<div><p>This study assessed the influence of occupational stress, individual resilience, and organizational resilience on the safety performance of healthcare providers during the COVID-19 pandemic. Demographic variables including age, work experience, and gender were explored. Data were collected from 344 healthcare providers employed at a teaching hospital. The entropy method and the multi-criteria decision-making (MCDM) method were used to examine the influence of occupational stress, individual resilience, and organizational resilience on the safe performance of healthcare providers. The results of the entropy method showed that organizational resilience was the most influential factor in the safe performance of older healthcare providers. In contrast, individual resilience was the most significant factor in enhancing the safety performance of younger healthcare providers. Analyses of work experience indicated that individual resilience was the most influential factor in the safe performance of less experienced healthcare providers. Gender-based analysis revealed that individual resilience had a major effect on the safety performance of both women and men. The findings of this study could assist managers in improving the performance of the healthcare sector during pandemics by using and implementing resilience concepts at both the individual and organizational levels.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43364108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A study on predicting crisis information dissemination in epidemic-level public health events 流行病级别公共卫生事件危机信息传播预测研究

安全科学与韧性(英文) Pub Date : 2023-09-01 DOI: 10.1016/j.jnlssr.2023.02.003

Lin Zhang , Xin Wang , Jinyu Wang , Ping Yang , Peiling Zhou , Ganli Liao

{"title":"A study on predicting crisis information dissemination in epidemic-level public health events","authors":"Lin Zhang , Xin Wang , Jinyu Wang , Ping Yang , Peiling Zhou , Ganli Liao","doi":"10.1016/j.jnlssr.2023.02.003","DOIUrl":"10.1016/j.jnlssr.2023.02.003","url":null,"abstract":"<div><p>Crisis information dissemination plays a key role in the development of emergency responses to epidemic-level public health events. Therefore, clarifying the causes of crisis information dissemination and making accurate predictions to effectively control such situations have attracted extensive attention. Based on media richness theory and persuasion theory, this study constructs an index system of crisis information dissemination impact factors from two aspects: the crisis information publisher and the published crisis information content. A multi-layer perceptron is used to analyze the weight of the index system, and the prediction is transformed into a pattern classification problem to test crisis information dissemination. In this study, COVID-19 is considered a representative event. An experiment is conducted to predict the crisis information dissemination of COVID-19 in two megacities. Data related to COVID-19 from these two megacities are acquired from the well-known Chinese social media platform Weibo. The experimental results show that not only the identity but also the social influence of the information publisher has a significant impact on crisis information dissemination in epidemic-level public health events. Furthermore, the proposed model achieves more than 95% test accuracy, precision rate, recall value and f1-score in the prediction task. The study provides decision-making support for government departments and a guide for correctly disseminating crisis information and public opinion during future epidemic-level public health events.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44282252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Re-emergence of Ebola virus disease in Uganda: Should Southeast Asia countries be worried? 埃博拉病毒病在乌干达再次出现:东南亚国家是否应该担心?

安全科学与韧性(英文) Pub Date : 2023-09-01 DOI: 10.1016/j.jnlssr.2023.02.002

Haruna Muhammad Daiyab , Farouq Muhammad Dayyab

{"title":"Re-emergence of Ebola virus disease in Uganda: Should Southeast Asia countries be worried?","authors":"Haruna Muhammad Daiyab , Farouq Muhammad Dayyab","doi":"10.1016/j.jnlssr.2023.02.002","DOIUrl":"10.1016/j.jnlssr.2023.02.002","url":null,"abstract":"<div><p>An outbreak of Ebola virus disease (EVD) (Sudan virus) was first reported in the Republic of Uganda on September 20, 2022. As of November 17, 2022, 151 confirmed cases have been reported, including 55 deaths (with a case fatality rate among confirmed cases of 39%).</p><p>During the EVD outbreak in 2013–2016, international travel played a significant role in the spread of the disease across national borders. During that time, several tasks requiring improvement were identified in the World Health Organization (WHO) Southeast Asia Region (SEAR), including inadequate risk communication and risk assessment, data management gaps for surveillance purposes, inadequate capacity in molecular diagnostic techniques, lack of adequate planning for a surge of cases, and inadequate isolation rooms.</p><p>It is therefore recommended that all countries of the WHO SEAR revisit their level of Ebola preparedness and address existing gaps. The emergence and rapid global spread of coronavirus disease 2019 (COVID-19) have reiterated that the world has become a global village. This was confirmed by the spread of the monkeypox virus with cases reported in the WHO SEAR. Therefore, given the weak health infrastructure in the region, complacency could wreak havoc on the healthcare system if another epidemic emerges without an adequate level of preparedness.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41992801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AIGC challenges and opportunities related to public safety: A case study of ChatGPT AIGC与公共安全相关的挑战和机遇：以ChatGPT为例

安全科学与韧性(英文) Pub Date : 2023-08-26 DOI: 10.1016/j.jnlssr.2023.08.001

Danhuai Guo , Huixuan Chen , Ruoling Wu , Yangang Wang

引用次数: 5

Study on the Influencing Factors of Piecewise Multi-strain Crossover Epidemic Spread under Data Contamination 数据污染下分段多菌种交叉传播的影响因素研究

安全科学与韧性(英文) Pub Date : 2023-08-01 DOI: 10.1016/j.jnlssr.2023.07.002

Jianlan Hou, Guozhong Huang, Shen Gao, Zhijin Chen, Xuehong Gao

引用次数: 0

TSE-Tran: Prediction method of telecommunication-network fraud crime based on time series representation and transformer TSE Tran:基于时间序列表示和变换的电信网络诈骗犯罪预测方法

安全科学与韧性(英文) Pub Date : 2023-07-17 DOI: 10.1016/j.jnlssr.2023.07.001

Tuo Shi , Jie Fu , Xiaofeng Hu

{"title":"TSE-Tran: Prediction method of telecommunication-network fraud crime based on time series representation and transformer","authors":"Tuo Shi , Jie Fu , Xiaofeng Hu","doi":"10.1016/j.jnlssr.2023.07.001","DOIUrl":"10.1016/j.jnlssr.2023.07.001","url":null,"abstract":"<div><p>Telecom network fraud has become the most common and concerning type of crime and is an important public security incident that threatens urban resilience. Therefore, preventing a continuous rise in telecommunications and network fraud will help establish a resilient urban governance system. Undertaking the spatiotemporal forecasting of telecommunications-network fraud trends is of significant importance for aiding public security agencies in proactive crime prevention and implementing targeted anti-fraud campaigns. This study presents a telecommunication network fraudulent crime prediction method called TSE-Tran, which integrates temporal representation and transformer architecture. The time-series data of telecommunication-network fraud occurrences were input into the TimesNet module, which maps the sequence data to a more precise feature representation tensor that accounts for both intra- and inter-cycle features. Subsequently, the data are fed into the transformer-encoder module for further encoding, capturing long-range dependencies in the time-series data. Finally, occurrences of future telecommunication network frauds are predicted by a fully connected layer. The results of the study demonstrate that the proposed TSE-Tran method outperforms benchmark methods in terms of prediction accuracy. The results of this study are expected to aid in the prevention and control of telecommunications and network frauds effectively strengthen the resilience of urban development and the ability to respond to public security incidents.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42256867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on smoke propagation in tunnel construction of a hydropower station: A full-scale fire experiment 水电站隧道施工中烟气传播的全尺寸火灾试验研究

安全科学与韧性(英文) Pub Date : 2023-06-01 DOI: 10.1016/j.jnlssr.2022.11.002

Chang Liu , Huihang Cheng , Wenjun Nie , Senlin Jiang , Junfeng Chen , Peng Lin , Maohua Zhong

{"title":"Study on smoke propagation in tunnel construction of a hydropower station: A full-scale fire experiment","authors":"Chang Liu , Huihang Cheng , Wenjun Nie , Senlin Jiang , Junfeng Chen , Peng Lin , Maohua Zhong","doi":"10.1016/j.jnlssr.2022.11.002","DOIUrl":"10.1016/j.jnlssr.2022.11.002","url":null,"abstract":"<div><p>In this study, full-scale fire experiments were conducted in a hydropower station to investigate smoke propagation during tunnel construction. The flame height, smoke temperature and stratification, smoke descent and spread velocity were analyzed via measurements and on-site observations. The initial combustion stage was largely affected by ignition source during tunnel construction for diesel pool fire, and the average flame height in the fully developed stage could reach 1.4–2.1 m in experimental fire scenarios. The gradient of the smoke temperature evolution near the fire was the opposite for the upstream and downstream regions. The longitudinal temperature distribution was concentrated in a small range at the heights of the smoke layer, and gradually decreased by air entrainment as the height decreased, while further increasing in the lower half of the tunnel height in the near-fire region under heat radiation from the fire source. Moreover, distinct and stable smoke stratification formed during the fully developed combustion stage, and the smoke layer interface was at approximately half the tunnel height. Smoke descent was aggravated in the decay stage of combustion, and the fire risk remained high after the fully developed period. The smoke front spread velocity was empirically determined for the full-scale tunnel fire scenarios. Conclusions from full-scale experiments can support smoke control design and on-site fire emergency response plans for hydropower stations.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44613005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Hazard prediction of coal and gas outburst based on the Hamming distance artificial intelligence algorithm (HDAIA) 基于Hamming距离人工智能算法的煤与瓦斯突出危险性预测

安全科学与韧性(英文) Pub Date : 2023-06-01 DOI: 10.1016/j.jnlssr.2022.12.001

Peng Ji , Shiliang Shi

{"title":"Hazard prediction of coal and gas outburst based on the Hamming distance artificial intelligence algorithm (HDAIA)","authors":"Peng Ji , Shiliang Shi","doi":"10.1016/j.jnlssr.2022.12.001","DOIUrl":"10.1016/j.jnlssr.2022.12.001","url":null,"abstract":"<div><p>Currently, coal mining faces the uncertainty of the risk of coal and gas outbursts and inaccurate prediction results. Owing to this, an artificial immune algorithm (AIA) was developed for coal and gas outburst prediction based on the Hamming distance (HD) calculation method of antibody and antigen affinity called the Hamming distance artificial intelligence algorithm (HDAIA). The correlation matrix of coal and gas outburst indicators was constructed using the interpolation function in the algorithm. The HD algorithm was used to obtain the affinity between the antibody and antigen, and the minimum HD was screened to obtain the prediction result. The collected dynamic data of the drilling cuttings gas desorption index <em>K</em><sub>1</sub> and the drilling cuttings weight <em>S</em> during the excavation process of the 11,192-working face of a coal mine in Guizhou Province, China, were used as prediction indices. The results indicate that the prediction result of the HDAIA for the risk of coal and gas outbursts is consistent with the actual risk of outbursts, and it has a good prediction of the risk of coal and gas outbursts. The HDAIA can be used as a novel method for predicting the risk of coal and gas outbursts.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42810381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3