The occurrence of public crisis would trigger the explosion of resource scarcity within limited space and time,which can result in chaos of public order and market failure.When crisis becomes serious,the government ma...The occurrence of public crisis would trigger the explosion of resource scarcity within limited space and time,which can result in chaos of public order and market failure.When crisis becomes serious,the government may dominate public crisis management,so as to perform its public accountability in the special situation.As one of the important means of relieving the government’s public accountability,governmental accounting should reflect and supervise the resource flow in the handling of public crisis.The application of traditional accounting of value approach may be faced with some difficulties under the crisis conditions,which can be solved by introducing the event accounting for partial improvement.According to the features of public crisis,governmental accounting should pay attention to changing features of the accounting objects,establish the integration pattern of accounting information based on events,trace and reflect the resource flow process under crisis,coordinatethe methods of handling government financial reports,and comprehensively apply all kinds of techniques to improve decision quality of government under crisis.展开更多
With the highly integration of the Internet world and the real world, Internet information not only provides real-time and effective data for financial investors, but also helps them understand market dynamics, and en...With the highly integration of the Internet world and the real world, Internet information not only provides real-time and effective data for financial investors, but also helps them understand market dynamics, and enables investors to quickly identify relevant financial events that may lead to stock market volatility. However, in the research of event detection in the financial field, many studies are focused on micro-blog, news and other network text information. Few scholars have studied the characteristics of financial time series data. Considering that in the financial field, the occurrence of an event often affects both the online public opinion space and the real transaction space, so this paper proposes a multi-source heterogeneous information detection method based on stock transaction time series data and online public opinion text data to detect hot events in the stock market. This method uses outlier detection algorithm to extract the time of hot events in stock market based on multi-member fusion. And according to the weight calculation formula of the feature item proposed in this paper, this method calculates the keyword weight of network public opinion information to obtain the core content of hot events in the stock market. Finally, accurate detection of stock market hot events is achieved.展开更多
为了辅助决策者及时有效应对突发事件,降低突发事件带来的各项损失,并解决实时、准确、量化的非精确决策数据客观智能获取问题,从人口基数强大的网络在线评论中提取有价值的情报信息,获得表征为概率语言术语集的决策数据,并提出了一种...为了辅助决策者及时有效应对突发事件,降低突发事件带来的各项损失,并解决实时、准确、量化的非精确决策数据客观智能获取问题,从人口基数强大的网络在线评论中提取有价值的情报信息,获得表征为概率语言术语集的决策数据,并提出了一种基于概率语言术语集和机器学习的突发事件应急决策方法。首先,利用Python编程获取在线评论信息,将获得的信息进行清洗、去重等预处理操作,利用中文自然语言处理(Snow Natural Language Processing, SnowNLP)库对评论进行情感分类,根据情感分类分析结果对评论信息进行统计,从而得到表征为概率语言术语集的各方案在不同属性下的决策属性值;然后,提出基于信息熵和最大化偏差方法的综合权重计算方法,使得属性权重的确定较为客观全面;接着,利用投影法对备选方案进行排序和择优;最后,利用一个实际台风灾害应急决策案例,验证所提方法的可行性和实践性,并通过对比分析与灵敏度分析,验证所提方法的合理性和稳定性。所提方法能够对突发事件网络舆情进行实时监测,可以客观智能获取应急情报数据,并实现对突发事件的有效应对。展开更多
We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It cha...We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.展开更多
[Objectives] To explore the influence and effect of psychological intervention on patients with public security emergencies.[Methods] From May 2021 to June 2021, 29 patients with public safety emergencies were selecte...[Objectives] To explore the influence and effect of psychological intervention on patients with public security emergencies.[Methods] From May 2021 to June 2021, 29 patients with public safety emergencies were selected as the main research objects. On the basis of routine nursing, psychiatric and psychological nursing were carried out, and SAS and SDS scores, satisfaction scores and quality of life scores were compared before and after intervention.[Results] After nursing, the scores of SAS and SDS were lower than those before nursing, and the difference was statistically significant ( P <0.05);the scores of satisfaction were higher than those before nursing, and the difference was statistically significant ( P <0.05);the scores of quality of life were better than those before nursing, and the difference was statistically significant ( P <0.05).[Conclusions] The psychiatric and psychological nursing reduced the negative emotions and psychological stress reactions of patients in public safety emergencies, increased the clinical comfort, changed the negative coping styles of patients, and strengthened the coping measures.展开更多
Introduction: Benin was embarked on phase 3 of the REDISSE Benin project (Regional Disease Surveillance Systems Enhancement) which began in 2018. The objectives were in five key components namely, Surveillance and hea...Introduction: Benin was embarked on phase 3 of the REDISSE Benin project (Regional Disease Surveillance Systems Enhancement) which began in 2018. The objectives were in five key components namely, Surveillance and health information;Laboratory capacity building;Emergency preparedness and response;Human resources management for effective disease surveillance and epidemic preparedness;and Institutional Capacity Building, Project Management, Coordination and Advocacy. After five years of implementation, this study aimed at the documentation of lessons learned and best practices. Methods: A descriptive cross-sectional study. Apart from individual semi-structured interviews, a thematic workshops bringing together the project’s main stakeholders recruited on an exhaustive way by component to identify and validate lessons learned, good practices and propose improvement mechanisms to be taken into account by the sector. Criteria were set up and used to validate best practices and lessons learned. Results: A total 54 (Surveillance workshop), 47 (Preparedness & response workshop), 53 (Human Resources workshop), 26 (Laboratories workshop) participated to the thematic workshops, and five interviews. The good practices (33: 9 for animal health, 7 for human health and 17 crosscutting) and lessons learned (10: 3 for animal health and 7 for human health) have been identified and have been the subject, depending on the case, of proposals for improvement or conditions necessary for their maintenance. Discussion: The richness of a project lies not only in the immediate achievement of its results, but also and above all, in its usefulness for similar interventions, whether in the local, regional, national or international context. It is in this context that the REDISSE project has set out to make public the various lessons learned and best practices from the implementation of its activities over a period of some five consecutive years.展开更多
After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group ...After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group events to upgrade and expand the scope of harm. It is difficult to deal. So public opinion control is very important. In this paper, we establish an influence model for spreading of public opinion based on SIR model. Through the political analysis, this paper finds that the network group events will subside, but the influence scope, time and ability of event cannot be ignored. As a result of this study, the corresponding strategies are put forward in this paper.展开更多
Objective:To explore the role of the Centers for Disease Control and Prevention(CDC)in public health emergencies.Methods:The details of 12 public health events that occurred between January 2021 to December 2022 were ...Objective:To explore the role of the Centers for Disease Control and Prevention(CDC)in public health emergencies.Methods:The details of 12 public health events that occurred between January 2021 to December 2022 were analyzed to explore the roles of the CDC.Results:There were 160 patients involved in 10 public health events in 2021 and 48 patients involved in 2 public health events in 2022.Besides,the proportion of school public health events in 2022 was 0%,which was lower than in 2021,which was 80%(P<0.05).99.38%of patients during public health events were sent to the hospital promptly in 2022,which was higher than that in 2021,which was 81.25%(P<0.05).Furthermore,the average time taken for the CDC to control public health events in 2022 was 20.11±1.62 hours,and the average time taken to send inspection reports was shorter than that in 2021.The public satisfaction score was also higher in 2022 compared to 2021(P<0.05).Conclusion:The role of the CDC is to control infectious diseases.Therefore,it is important to pinpoint the existing problems in the strategies implemented by the CDC so that more improvements can be made to better prevent infectious diseases.展开更多
文摘The occurrence of public crisis would trigger the explosion of resource scarcity within limited space and time,which can result in chaos of public order and market failure.When crisis becomes serious,the government may dominate public crisis management,so as to perform its public accountability in the special situation.As one of the important means of relieving the government’s public accountability,governmental accounting should reflect and supervise the resource flow in the handling of public crisis.The application of traditional accounting of value approach may be faced with some difficulties under the crisis conditions,which can be solved by introducing the event accounting for partial improvement.According to the features of public crisis,governmental accounting should pay attention to changing features of the accounting objects,establish the integration pattern of accounting information based on events,trace and reflect the resource flow process under crisis,coordinatethe methods of handling government financial reports,and comprehensively apply all kinds of techniques to improve decision quality of government under crisis.
文摘With the highly integration of the Internet world and the real world, Internet information not only provides real-time and effective data for financial investors, but also helps them understand market dynamics, and enables investors to quickly identify relevant financial events that may lead to stock market volatility. However, in the research of event detection in the financial field, many studies are focused on micro-blog, news and other network text information. Few scholars have studied the characteristics of financial time series data. Considering that in the financial field, the occurrence of an event often affects both the online public opinion space and the real transaction space, so this paper proposes a multi-source heterogeneous information detection method based on stock transaction time series data and online public opinion text data to detect hot events in the stock market. This method uses outlier detection algorithm to extract the time of hot events in stock market based on multi-member fusion. And according to the weight calculation formula of the feature item proposed in this paper, this method calculates the keyword weight of network public opinion information to obtain the core content of hot events in the stock market. Finally, accurate detection of stock market hot events is achieved.
文摘为了辅助决策者及时有效应对突发事件,降低突发事件带来的各项损失,并解决实时、准确、量化的非精确决策数据客观智能获取问题,从人口基数强大的网络在线评论中提取有价值的情报信息,获得表征为概率语言术语集的决策数据,并提出了一种基于概率语言术语集和机器学习的突发事件应急决策方法。首先,利用Python编程获取在线评论信息,将获得的信息进行清洗、去重等预处理操作,利用中文自然语言处理(Snow Natural Language Processing, SnowNLP)库对评论进行情感分类,根据情感分类分析结果对评论信息进行统计,从而得到表征为概率语言术语集的各方案在不同属性下的决策属性值;然后,提出基于信息熵和最大化偏差方法的综合权重计算方法,使得属性权重的确定较为客观全面;接着,利用投影法对备选方案进行排序和择优;最后,利用一个实际台风灾害应急决策案例,验证所提方法的可行性和实践性,并通过对比分析与灵敏度分析,验证所提方法的合理性和稳定性。所提方法能够对突发事件网络舆情进行实时监测,可以客观智能获取应急情报数据,并实现对突发事件的有效应对。
基金Project supported by the Ministry of Education of China in the later stage of philosophy and social science research(Grant No.19JHG091)the National Natural Science Foundation of China(Grant No.72061003)+1 种基金the Major Program of National Social Science Fund of China(Grant No.20&ZD155)the Guizhou Provincial Science and Technology Projects(Grant No.[2020]4Y172)。
文摘We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.
文摘[Objectives] To explore the influence and effect of psychological intervention on patients with public security emergencies.[Methods] From May 2021 to June 2021, 29 patients with public safety emergencies were selected as the main research objects. On the basis of routine nursing, psychiatric and psychological nursing were carried out, and SAS and SDS scores, satisfaction scores and quality of life scores were compared before and after intervention.[Results] After nursing, the scores of SAS and SDS were lower than those before nursing, and the difference was statistically significant ( P <0.05);the scores of satisfaction were higher than those before nursing, and the difference was statistically significant ( P <0.05);the scores of quality of life were better than those before nursing, and the difference was statistically significant ( P <0.05).[Conclusions] The psychiatric and psychological nursing reduced the negative emotions and psychological stress reactions of patients in public safety emergencies, increased the clinical comfort, changed the negative coping styles of patients, and strengthened the coping measures.
文摘Introduction: Benin was embarked on phase 3 of the REDISSE Benin project (Regional Disease Surveillance Systems Enhancement) which began in 2018. The objectives were in five key components namely, Surveillance and health information;Laboratory capacity building;Emergency preparedness and response;Human resources management for effective disease surveillance and epidemic preparedness;and Institutional Capacity Building, Project Management, Coordination and Advocacy. After five years of implementation, this study aimed at the documentation of lessons learned and best practices. Methods: A descriptive cross-sectional study. Apart from individual semi-structured interviews, a thematic workshops bringing together the project’s main stakeholders recruited on an exhaustive way by component to identify and validate lessons learned, good practices and propose improvement mechanisms to be taken into account by the sector. Criteria were set up and used to validate best practices and lessons learned. Results: A total 54 (Surveillance workshop), 47 (Preparedness & response workshop), 53 (Human Resources workshop), 26 (Laboratories workshop) participated to the thematic workshops, and five interviews. The good practices (33: 9 for animal health, 7 for human health and 17 crosscutting) and lessons learned (10: 3 for animal health and 7 for human health) have been identified and have been the subject, depending on the case, of proposals for improvement or conditions necessary for their maintenance. Discussion: The richness of a project lies not only in the immediate achievement of its results, but also and above all, in its usefulness for similar interventions, whether in the local, regional, national or international context. It is in this context that the REDISSE project has set out to make public the various lessons learned and best practices from the implementation of its activities over a period of some five consecutive years.
文摘After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group events to upgrade and expand the scope of harm. It is difficult to deal. So public opinion control is very important. In this paper, we establish an influence model for spreading of public opinion based on SIR model. Through the political analysis, this paper finds that the network group events will subside, but the influence scope, time and ability of event cannot be ignored. As a result of this study, the corresponding strategies are put forward in this paper.
文摘Objective:To explore the role of the Centers for Disease Control and Prevention(CDC)in public health emergencies.Methods:The details of 12 public health events that occurred between January 2021 to December 2022 were analyzed to explore the roles of the CDC.Results:There were 160 patients involved in 10 public health events in 2021 and 48 patients involved in 2 public health events in 2022.Besides,the proportion of school public health events in 2022 was 0%,which was lower than in 2021,which was 80%(P<0.05).99.38%of patients during public health events were sent to the hospital promptly in 2022,which was higher than that in 2021,which was 81.25%(P<0.05).Furthermore,the average time taken for the CDC to control public health events in 2022 was 20.11±1.62 hours,and the average time taken to send inspection reports was shorter than that in 2021.The public satisfaction score was also higher in 2022 compared to 2021(P<0.05).Conclusion:The role of the CDC is to control infectious diseases.Therefore,it is important to pinpoint the existing problems in the strategies implemented by the CDC so that more improvements can be made to better prevent infectious diseases.
