The Taiwan Question China From the Perspective of International Crisis Management:History and Future

The Taiwan Question China discussed in this paper belongs to the theoretical crisis discussion on international relations and does not regard the Cross-Strait relations as relations between different countries.The outcome of the 2024 Taiwan Election has a great impact on the Taiwan question,the latest poll shows that the possibility of the Democratic Progressive Party(DPP)candidate to come to power is still very high,because its political evolution trend of Taiwan independence still exists.

Practical seismic resilience evaluation and crisis management planning through GIS-based vulnerability assessment of buildings

The objective of this paper is to demonstrate how assessment of seismic vulnerability can be effective in protection against earthquakes.Findings are reported from a case study in a densely populated urban area near an active fault,utilizing practical methods and exact engineering data.Vulnerability factors were determined due to technical considerations,and a field campaign was performed to collect the required data.Multi-criteria decision making was carried out by means of an analytical hierarchy process including a fuzzy standardization.Earthquake scenarios were applied through an implicit vulnerability model.GIS was utilized and the results were analyzed by classifying the state of vulnerability in levels as very low,low,moderate,high,and very high.Seismic resilience was evaluated as vulnerabilities below the moderate state,being about 40% in an intensity of 6 Mercalli and less than 10% in 10 Mercalli.It is concluded that seismic resilience in the area studied is not acceptable,the area is vulnerable in the expected scenarios,and due to the high seismicity of the region,proper crisis management planning is required in parallel with attempts toward retrofitting.In this regard,an emergency map was developed with reference to the assessed vulnerabilities.

Development of Social Media Analytics System for Emergency Event Detection and Crisis Management

Social media platforms have proven to be effective for information gathering during emergency events caused by natural or human-made disasters.Emergency response authorities,law enforcement agencies,and the public can use this information to gain situational awareness and improve disaster response.In case of emergencies,rapid responses are needed to address victims’requests for help.The research community has developed many social media platforms and used them effectively for emergency response and coordination in the past.However,most of the present deployments of platforms in crisis management are not automated,and their operational success largely depends on experts who analyze the information manually and coordinate with relevant humanitarian agencies or law enforcement authorities to initiate emergency response operations.The seamless integration of automatically identifying types of urgent needs from millions of posts and delivery of relevant information to the appropriate agency for timely response has become essential.This research project aims to develop a generalized Information Technology(IT)solution for emergency response and disaster management by integrating social media data as its core component.In this paper,we focused on text analysis techniques which can help the emergency response authorities to filter through the sheer amount of information gathered automatically for supporting their relief efforts.More specifically,we applied state-of-the-art Natural Language Processing(NLP),Machine Learning(ML),and Deep Learning(DL)techniques ranging from unsupervised to supervised learning for an in-depth analysis of social media data for the purpose of extracting real-time information on a critical event to facilitate emergency response in a crisis.As a proof of concept,a case study on the COVID-19 pandemic on the data collected from Twitter is presented,providing evidence that the scientific and operational goals have been achieved.

The 2008 Irish Dioxin Crisis:Prevention is better than Crisis Management

In Ireland, in 2008, pig feed manufactured from recycled human food became contaminated with dioxin and this led to a global recall of all Irish pork products produced from 1st September to 6th December 2008. This case study illustrates several points a) the food chain is only as secure as its weakest link, b) due to the complexity of the modern food chain, once pork is processed, precise traceability to a particular farm of origin is impossible, c) even with a single food agency, overseeing the policing of the food chain, things can go wrong, d) it demonstrated the benefits of having credible consumer protection agencies to undertake scientific risk assessment and communicate with the public, e) if risk management decisions are taken quickly, and communicated in an open and transparent manner to the public, adverse human health effects can be avoided and consumer confidence can maintained, f) in the EU the legal limit for dioxins in pork fat is 1 picogram per gram (10-12 ) and attempting to communicate the risks associated with this level of contamination plus the concepts of bioaccumulation and body burden and the need for continued exposure to result in adverse health effects is extremely challenging, g) there was a major economic impact and damage to the country's reputation as a food exporter and finally h) it illustrates that prevention is better that crisis management. Other countries can learn lessons from this incident that may prevent similar occurrences in their jurisdictions.

Development of Crisis Management Models Combined with Cloud Computing

Three monitor models of enterprise crisis were introduced,i.e.,the monitoring model of enterprise crisis based on intelligent Meta search,the enterprise crisis management model based on artificial neural network and the combined early-warning model.Combined with the advantages of cloud computing,the prominent crisis management models are improved and more efficient,comprehensive and accurate in enterprise crisis management.Through the empirical study of the models,cloud computing makes the early warning structures of enterprise crisis tend to be more simple and efficient,cloud computing can effectively enhance the recognition ability and learning ability of the crisis management,and cloud computing can keep data information updating and realize the dynamic management of enterprise joint early-warning.At the same time,according to the comparative analysis and the experimental result,the crisis management models based on cloud computing also need some improvements.

A Critical Discourse Analysis of Corporate Apologies by United CEO in an Interview from the Perspective of Crisis Management

From the perspective of crisis management,this research is a critical discourse analysis of how United CEO extended corporate apologies to the stakeholders.The analysis of the text,discourse practice,and social practice under Fairclough’s threedimensional framework was conducted to explore apology discourse strategies employed by United CEO.The results revealed the interplay of corporate apology discourse,crisis management and social background and that United CEO’s apologies in the inter⁃view video failed to achieve crisis management.

Geo-spatial information and technologies in support of EU crisis management

This paper discusses the challenges in operational crisis management and describes the role of information and geo-spatial technologies in meeting those challenges.The paper discusses two main sources of data,Web and very high resolution(VHR)earth observation sensors,in terms of relevance to crisis management and techniques for information extraction and analysis.Although research in information text extraction and analysis is more advanced than in information image extraction and analysis,further research is required in both these fields to take advantage of the increasing complexity but richness of open source and VHR satellite data.The paper also discusses the use of Web,GIS and Digital Earth technologies in facilitating collaborative work,decision-making and information sharing in crisis management.Despite exciting and relevant advances in information sources,information extraction and analysis methods,and collaborative crisis technologies,the main challenge remains to convince stakeholders in operational crisis management that the adoption of these technologies will lead to enhanced and effective crisis management.

The methodology of determining optimum access routes to remote areas for the purposes of crisis management

The article presents a methodology to determine access routes to places with difficult access,situated outside the regular transport network.To determine the optimum route,the existing road network was used,along with terrain passability maps,as well as high-resolution digital terrain models together with the traction parameters of the vehicle to enable conducting a detailed analysis of micro-relief and excluding inaccessible areas.The research was extended to include a comprehensive analysis of terrain accessibility for areas located in the vicinity of the capital cities of three European countries on various levels of economic development:Germany,Poland,and Ukraine.The degree of development of the analysed area was determined with the use of the gross domestic product(GDP),human development index(HDI),and the road quality coefficient.The case study presented in the paper illustrates the practical application of the developed methodology that was implemented to a real crisis situation.Access routes were determined for a MAN TGM 15.290 vehicle that went to take part in emergency action in buildings situated approximately 500 m away from paved roads.The developed methodology may be widely used in crisis management,where the emergency actions often require rescue units to access remote places.

Supporting flexible regulation of crisis management by means of situated artificial institution

This paper highlights the use of situated artificial institution(SAI) within a hybrid, interactive,normative multi-agent system to regulate human collaboration in crisis management. Norms regulate the actions of human actors based on the dynamics of the environment in which they are situated. This dynamics results from both environment evolution and actors' actions. Our objective is to situate norms in the environment in order to provide a context-aware crisis regulation. However, this coupling must be a loose one to keep both levels independent and easyto-change in order to face the complex and changing crisis situations. To that aim, we introduce a constitutive level between environmental and normative states providing a loose coupling of normative regulation with environment evolution. Norms are thus no more referring to environmental facts but to status functions, i.e., the institutional interpretation of environmental facts through constitutive rules. We present how this declarative and distinct SAI modelling succeeds in managing the crisis with a context-aware crisis regulation.

The role of GI-supported methods in crisis management

Crisis and disaster management has become an important research field in GIS during recent years.Risk assessment and situation picture-related work are particularly important areas of interest.There are distinct phases in different crises;these can be roughly divided into mitigation,preparedness,response,and recovery.In this paper a general classification of methods in each phase is given with examples on recent or ongoing research projects.The framework is based on literature and experiences from crisis and disaster-related exercises.Three case studies are based on those exercises.The goal is to clarify the role and usability of various GI-supported methods in the crisis management process by outlining a theoretical framework and presenting examples of the developed methods.Continuously increasing amount of spatially related geographic information is a huge potential to the GI analysis and modeling methods;the concept of digital earth is the underlying mainstream that gives lots of promise to the research and development work in this field.

A hybrid framework to analyze crisis management system maturity in sociotechnical systems

In recent decades,numerous catastrophic accidents have occurred worldwide,ranging from natural events(such as tsunamis,flooding,and earthquakes)to industrial events(such as mining and chemical process disasters).They endanger humans,the environment,organizations,and societies,as well as national security.However,there have been few attempts to propose a model for assessing the required capabilities and potential challenges in crisis management system maturity(CMSM).Accordingly,this study proposes a framework for measuring CMSM levels in complex systems.To this end,a CMSM taxonomy was developed,including aspects,dimensions,and factors influencing the CMSM.Fuzzy inference sets and fuzzy analytical hierarchy processes are then used for knowledge acquisition,quantification of the CMSM,and dealing with epistemic uncertainty.An actual complex petrochemical plant is investigated to evaluate its capabilities.The findings revealed the most significant con-tributing factors:the CMSM’s current capability and challenges level(score),as well as the capacity to overcome the potential crisis response challenges.Moreover,the proposed model can be used as a practical approach for various chemical-processing plants.

Crisis Management

British Prime Minister Gordon Brown sees off U.S. President Barack Obama at 10 Downing Street on April 1,after they held talks preparing for the following

Machine Learning Based Depression,Anxiety,and Stress Predictive Model During COVID-19 Crisis

Corona Virus Disease-2019(COVID-19)was reported at first in Wuhan city,China by December 2019.World Health Organization(WHO)declared COVID-19 as a pandemic i.e.,global health crisis onMarch 11,2020.The outbreak of COVID-19 pandemic and subsequent lockdowns to curb the spread,not only affected the economic status of a number of countries,but it also resulted in increased levels of Depression,Anxiety,and Stress(DAS)among people.Therefore,there is a need exists to comprehend the relationship among psycho-social factors in a country that is hypothetically affected by high levels of stress and fear;with tremendously-limitingmeasures of social distancing and lockdown in force;and with high rates of new cases and mortalities.With this motivation,the current study aims at investigating theDAS levels among college students during COVID-19 lockdown since they are identified as a highly-susceptible population.The current study proposes to develop Intelligent Feature Subset Selection withMachine Learning-based DAS predictive(IFSSML-DAS)model.The presented IFSSML-DAS model involves data preprocessing,Feature Subset Selection(FSS),classification,and parameter tuning.Besides,IFSSML-DAS model uses Group Gray Wolf Optimization based FSS(GGWO-FSS)technique to reduce the curse of dimensionality.In addition,Beetle Swarm Optimization based Least Square Support Vector Machine(BSO-LSSVM)model is also employed for classification in which the weight and bias parameters of the LSSVM model are optimally adjusted using BSO algorithm.The performance of the proposed IFSSML-DAS model was tested using a benchmark DASS-21 dataset and the results were investigated under different measures.The outcome of the study suggests the development of specialized programs to handleDAS among population so as to overcome COVID-19 crisis.

The Crisis and the Countermeasures in the Growth of China’s Travel Agencies under the Influences of COVID-19

After more than 40 years of development,China's travel agency industry has grown rapidly,but the situation of scattered,small,weak and poor has not fundamentally changed.The unexpected the public health event crisis of COVID-19 in 2020 has brought great influence on China's travel agency industry,which makes China's travel agency industry face double challenges at home and abroad,but also breeds opportunities for development.In the face of the crisis,China's travel agency industry has responded to it,trying to restore confidence and revive the economy.This paper puts forward some idea from the aspects of crisis management,marketing and product development,including the establishment and implementation of the normalized tourism public crisis response mechanism;the reconstruction of the tourism image of the travel agency industry;the strengthening of marketing,with special attention to new media marketing;the emphasis on natural education,and the enhancement of the upgrading of tourism products.

To Club or Not to Club, That Is the Question Debating the Meaning of Catholic Identity for Universities in Today’s World

This case study presents the dilemma faced by a French university with Christian identity regarding a students’request to officially approve a club for the LGBTQ+community:which would be the most prudent response considering all matters involved?The case is disguised:it combines elements taken from very similar cases impacting today more than a few Catholic universities around the globe.Part A describes this university:history,principles and values,academic and financial information,relations with its stakeholders,etc.This part also describes its religious context and some relevant statistics regarding the LGTBQ+community.Finally,a series of opinions regarding the issue and how to answer the students’request presented in the form of an open discussion at the university’s steering committee provides different arguments in favor or against the approval.Part B offers some guidelines useful to take a prudent response considering all matters involved:legal,ethical,governance,and communicative.These guidelines are divided in three chapters:what should be the framework for such a discussion,strategic recommendations,and practical suggestions.Their aim is to provide a sort of a blueprint for university heads and administrators,to design a tailor-made response fitting the identity and stakeholders’map of their own university.

Location of Disaster Management Bases Using Spatial Analysis

Pre-crisis management involves the optimal selection of relief and rescue centers to minimize vulnerability.Iran is particularly vulnerable due to its location on the Alpine-Himalaya seismic belt,resulting in an average death rate six times higher than the global average during earthquakes.Therefore,selecting appropriate relief and rescue centers is crucial to Iran’s disaster preparedness.When selecting the placement of rescue centers,accessibility and the appropriateness of the land should be taken into account as well as the distance from high-risk areas.The location of these centers does not require any particular combinations.To address this issue,a study was conducted utilizing GIS,artificial neural networks,fuzzy logic,and mathematical models to determine the optimal placement based on 12 indicators within two clusters:natural and human.To examine the information layers of the initial stage,a spatial data repository concerning the variables impacting the placement of these centers was established using ARCGIS.Using functions and algorithms such as Fuzzy Logic in IDRISI,TOPSIS,and VIKOR software,the layers were assessed for weightage before being overlaid.The study’s analysis of the models used revealed that the positioning priority limits of the areas differed across all four models.Notably,the areas with high desirability varied to a greater extent:the fuzzy model varied by 9.3%,neural network by 12.4%,VIKOR by 4.5%,and TOPSIS by 16.2%.The variance in results can be attributed to the differing levels of risk acceptance and non-acceptance in each model.Additionally,the study yielded other significant findings such as the correlation between study area size and model accuracy.Specifically,smaller study areas exhibited higher model accuracy.The research also demonstrated that both fuzzy and VIKOR models achieved greater accuracy.As a result,employing these models in crisis management planning,particularly in pre-crisis management for identifying rescue center locations,would be highly advantageous and increase the precision of these endeavors.

中美金融竞争的维度与管控

During a period of profound adjustments to the international power structure,China-US financial competition may intensify and lead to a crisis for the international financial system and even the international power system.The China-US financial relationship is structured in mainly four dimensions:the international monetary system,bilateral financial exchanges,the international financial system and the construction of international financial and/or economic concepts.Management of this competition relationship is thereby four-pronged:managing the relationship between the RMB and the US dollar in the international monetary system,the China-US bilateral creditor-debtor relationship,the indirect China-US relationship in global financial governance organizations and normative frameworks,and the divergence of both countries in regard to their economic ideologies.In particular,to stabilize the international monetary system,China should postpone the strategic confrontation between the RMB and the US dollar,strengthening their complementarity and cooperation based on market choice and their monetary function.Meanwhile,China should be prudent as a creditor to the United States,neither coerced by its over-reliance on American financial markets,nor tempted to weaponize the US debt by dumping US bonds.Also,before aiming for systematic reforms,China should first aim to become a stakeholder in the current global financial governance system by comprehensively accepting and becoming deeply integrated into it.Finally,China should avoid the economic competition model between China and the United States,and should instead apply the“Chinese Approach”to better facilitate solutions to international problems.These approaches to crisis management aim to help China endure this turbulent period of the international power system with more prudent strategies and policies,and to maintain a relatively stable international financial and economic environment for the sustained rise of its economy and for the rejuvenation of the Chinese nation.

A Proposed Methodological Approach for Considering Community Resilience in Technology Development and Disaster Management Pilot Testing

Nowadays,resilience has become an indispensable term in several aspects and areas of research and life.Reaching consensus on what actually constitutes"resilience,""community,"and"community resilience"is still a task that guarantees a vivid exchange of opinions,sometimes escalating into debates,both in the scientific community and among practitioners.Figuring out how to practically apply resilience principles goes even a step further.This study attempts to circumvent the need for a universal agreement on the definition of"community resilience,"which may still be immature,if not impossible,at this time.We accomplish this by proposing a practical methodological approach with concrete methods on how to agree and implement commonly accepted community resilience principles in the context of technology development and pilot testing for disaster management.The proposed approach was developed,tested,and validated in the context of the Horizon 2020 EU-funded project Search and Rescue.Major aspects of the approach,along with considerations for further improvement and adaptation in different contexts,are addressed in the article.

A Study on Current Situation of Psychological Crisis Intervention in Public Emergencies

Public emergencies exert a significant impact on the mental health of the people,while psychological crisis intervention can efficiently improve the level of the mental health. The existing psychological crisis intervention in China has weakness in organization system,budget input,human resources,social cognition,and other aspects. The psychological crisis intervention work in the future can be performed by actively perfecting the organization management system of psychological crisis intervention,increasing the budget input,strengthening the construction of psychological intervention teams,improving the level of social cognition,and so on.

CRISIS FOCUS Impact on Chinese Banks:Risky But Manageable

Major banks in the world are paying the price for their heedless involvement in subprime-mortgage related assets.Citibank,for