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The purpose of this paper is to evaluate the effect of a community-based resilience intervention for Filipino displaced survivors of Super Typhoon Haiyan.

The researchers used a quasi-experimental and mixed-method design comparing a treatment group with a control group across three time periods: before, immediately after, and six months after the intervention.

Results showed significant improvements in survivors’ anxiety scores and resilience scores compared to those who did not undergo the program. However, although there was an increase in adaptive coping of participants immediately after the program, there was a reduction in adaptive coping behaviors for all groups six months after the program. Focus group discussions revealed this might be due to significant environmental challenges among displaced survivors.

A limitation of the study was the lack of randomization and a small sample size due to attrition.

The study highlights the positive effects of culturally adapted group interventions.

The results suggest the importance of a systemic approach to enabling the recovery of displaced survivors in developing countries.

This study provides evidence for a resilience intervention developed in a low-middle income country in Southeast Asia.

Disaster responders play a crucial role in providing aid to individuals and communities following catastrophic events. Being tasked to protect and preserve life and property, these groups of professionals are constantly exposed to various hazards, which puts them at risk of negative mental health consequences. This chapter describes and discusses these mental health effects and interventions for disaster responders in Southeast Asia. The chapter defines who the disaster responders are in Southeast Asian countries. Drawing from the literature, this chapter enumerates the various positive and negative psychological consequences of disaster response, and the risk and protective factors associated with disaster response work. This chapter also describes the different interventions, such as psychological first aid and psychotherapy, following the Inter-agency Standing Committee (IASC) (2007) guidelines on conducting mental health and psychosocial support services (MHPSS), and focusing on the Southeast Asian context. This chapter ends with a discussion of the different challenges of providing MHPSS in Southeast Asia and with some recommendations on how to improve the delivery of these services and the mental health of disaster responders in general.

The purpose of this paper is to conduct a survey on research in fabric and cloth simulation using mass spring model. Also in this paper some of the common methods in process of fabric simulation in mass spring model are discussed and compared.

This paper reviews and compares presented mesh types in mass spring model, forces applied on model, super elastic effect and ways to settle the super elasticity problem, numerical integration methods for solving equations, collision detection and its response. Some of common methods in fabric simulation are compared to each other. And by using examples of fabric simulation, advantages and limitations of each technique are mentioned.

Mass spring method is a fast and flexible technique with high ability to simulate fabric behavior in real time with different environmental conditions. Mass spring model has more accuracy than geometrical models and also it is faster than other physical modeling.

In the edge of digital, fabric simulation technology has been considered into many fields. 3D fabric simulation is complex and its implementation requires knowledge in different fields such as textile engineering, computer engineering and mechanical engineering. Several methods have been presented for fabric simulation such as physical and geometrical models. Mass spring model, the typical physically based method, is one of the methods for fabric simulation which widely considered by researchers.

When a senior field journalist attempts to cover super typhoon Haiyan in the Philippines, body guards were assigned to protect end-up obstructing. Disagreements between the news team and security team followed. The teams had different opinions regarding how situations should be handled. The clients were not satisfied with the services provided by the security, while the security felt the clients failed to understand safety considerations. What should the security company have done to ensure safety while supporting the news team’s objectives?

This study aims to examine the effect of several types of ex post idiosyncratic deals (i-deals) on work–life balance and work well-being, focusing on the mediating effect of work–life balance on the relationship between ex post i-deals and work well-being as well as the moderating effect of gender on the relationship between ex post i-deals and work–life balance in the hospitality industry.

This study uses a questionnaire survey of 642 hotel managers from developed cities in China and analyze the data with structural equation modeling. This study also conducts on-site interviews among 20 hotel managers to support conclusions of the survey.

The results indicate that task i-deals as well as career and incentives i-deals significantly promote work–life balance, thereby indirectly improving work well-being. However, the impact of flexibility i-deals on work–life balance and work well-being is insignificant. The influence of career and incentives i-deals on work–life balance for males is slightly stronger than that for females.

This study has practical implications for hotel employers in terms of using various ex post i-deals to motivate and retain hotel managers by improving personal work–life balance and work well-being.

As one of early attempts to highlight the potential of i-deals to serve as solutions for work–life conflicts and unhappiness issues among hotel managers, this study provides novel insights into the mediating process between ex post i-deals and work well-being from the work–life balance perspective as well as distinct influences of various ex post i-deals on work–life balance for male and female managers.

This paper investigates whether China's R&D tax deduction policy triggers firms to manipulate their R&D expenditures upward.

This paper employs the ratio of actual tax savings as a proxy for the benefits of the R&D tax deduction policy based on manually collected and systematically cross-checked data. The relationship between tax benefits and abnormal R&D spending is estimated in a sample of Chinese A-share listed companies for the period 2007–2018.

The findings suggest that tax deductions lead to positive abnormal R&D spending and that this deviation in R&D spending may be attributed to firms' upward R&D manipulation for tax avoidance. The results also indicate that this behavior is more significant for the period after the policy revision, in non-HNTEs (high and new technology enterprises), and in firms with a high ratio of R&D expenses.

It is difficult to establish a sophisticated and unified model to identify the specific strategy of upward R&D manipulation that firms use to obtain tax benefits.

Managers should take into account upward R&D manipulation when designing governance mechanisms. Policymakers in developing countries may further pursue preferential tax policies that cover every stage of innovation activities gradually; the local provincial governments need to leverage their proximity and flexibility advantages to develop a tax collection and administration system.

This study contributes to the understanding of the complex effect of R&D tax incentives and helps more fully illuminate firms' upward R&D manipulation behavior from the perspective of tax planning strategies, which are underexplored in previous research.

The purpose of this paper is to examine Chinese consumers’ attitudes toward genetically modified (GM) foods and the impact that consumers’ trust in different actors – GM scientists, non-GM scientists or individuals, the government and the media, has on their attitudes.

Consumers in Beijing were surveyed about their attitudes toward GM foods and their trust in different actors. The surveys were conducted from June to July of 2015. The sample size is 1,460 people. Given the potential endogeneity of trust variable, bivariate probit models are employed to estimate the impact of trust in different actors on consumers’ attitudes.

The results show that 55 percent of the Chinese consumers are opposed to GM foods and nearly 60 percent do not trust GM scientists. In total, 42 percent of Chinese consumers trust in the government and 39 percent trust the non-GM scientists or individuals. Around 35 percent of consumers believe the misinformation on GM technology that were provided by the media. Trust in the GM scientists and trust in the government have a significant positive impact on consumers’ acceptance of GM foods while trust in the non-GM scientists or individuals and believing the misinformation have a significant negative effect on the acceptance. Nearly 70 percent of Chinese consumers acquired information about GM food safety from the internet or via WeChat. Consumers who acquired GM technology information from the internet or via WeChat are less likely to embrace GM foods than those who obtain information from other sources.

Consumer trust plays a crucial role to accept biotech products in the market and it is crucial for producers, policy makers and consumers to have faith in new biotech products. The results of this study suggest that the government and GM scientists should make more effort to gain the trust and support of consumers, while the media should provide objective reports on GM products based on scientific evidence.

Virtual machines (VMs) are suggested by the providers of cloud services as the services for the users over the internet. The consolidation of VM is the tactic of the competent and smart utilization of resources from cloud data centers. Placement of a VM is one of the significant issues in cloud computing (CC). Physical machines in a cloud environment are aware of the way of the VM placement (VMP) as the mapping VMs. The basic target of placement of VM issue is to reduce the physical machines' items that are running or the hosts in cloud data centers. The VMP methods have an important role in the CC. However, there is no systematic and complete way to discuss and analyze the algorithms. The purpose of this paper is to present a systematic survey of VMP techniques. Also, the benefits and weaknesses connected with selected VMP techniques have been debated, and the significant issues of these techniques are addressed to develop the more efficient VMP technique for the future.

Because of the importance of VMP in the cloud environments, in this paper, the articles and important mechanisms in this domain have been investigated systematically. The VMP mechanisms have been categorized into two major groups, including static and dynamic mechanisms.

The results have indicated that an appropriate VMP has the capacity to decrease the resource consumption rate, energy consumption and carbon emission rate. VMP approaches in computing environment still need improvements in terms of reducing related overhead, consolidation of the cloud environment to become an extremely on-demand mechanism, balancing the load between physical machines, power consumption and refining performance.

This study aimed to be comprehensive, but there were some limitations. Some perfect work may be eliminated because of applying some filters to choose the original articles. Surveying all the papers on the topic of VMP is impossible, too. Nevertheless, the authors are trying to present a complete survey over the VMP.

The consequences of this research will be valuable for academicians, and it can provide good ideas for future research in this domain. By providing comparative information and analyzing the contemporary developments in this area, this research will directly support academics and working professionals for better knowing the growth in the VMP area.

The gathered information in this paper helps to inform the researchers with the state of the art in the VMP area. Totally, the VMP's principal intention, current challenges, open issues, strategies and mechanisms in cloud systems are summarized by explaining the answers.

This paper aims to analyze the research highlights, evolutionary process and future research directions in the field of tourism forecasting.

This study used CiteSpace to conduct a bibliometric analysis of 1,213 tourism forecasting articles.

The results show that tourism forecasting research has experienced three stages. The institutional collaboration includes transnational collaboration and domestic institutional collaboration. Collaboration between countries still needs to be strengthened. The authors’ collaboration is mainly based on on-campus collaboration. Articles with high co-citation are primarily published in core tourism journals and other relevant publications. The research content mainly pertains to tourism demand, revenue management, hotel demand and tourist volumes. Ex ante forecasting during the COVID-19 pandemic has broadened existing tourism forecasting research. The future forecasting research focuses on the rational use of big data, improving the accuracy of models and enhancing the credibility of forecasting results.

This paper uses CiteSpace to analyze tourism forecasting articles to obtain future research trends, which supplements existing research and provides directions for future research.

本文旨在分析旅游预测领域的研究重点、演化过程和未来的研究方向。

本研究使用 CiteSpace 软件对 1213 篇旅游预测文章进行了文 献计量学分析。

结果表明, 旅游预测研究经历三个阶段。机构合作包含国际机构合作和 国内机构合作, 需要持续加强国家之间的合作, 作者之间的合作多以校内合作为 主。高引用文章不仅发表在旅游领域的核心期刊还发表在其他专业的核心期刊上。 旅游预测研究的主要内容为旅游需求、收入管理、酒店需求和游客量。新冠疫情 期间的事前预测拓宽了现有的旅游预测研究。未来预测的研究重点在于合理利用 大数据, 提高模型的准确定以及提高预测结果的可信度。

本文使用 CiteSpace 分析旅游预测文章得到未来研究趋势, 既是对 现有研究的补充, 又为今后的研究提供方向。

Este artículo pretende analizar los aspectos más destacados de la investigación, el proceso evolutivo y las futuras orientaciones de la investigación en el campo de la previsión turística.

Este estudio utilizó CiteSpace para realizar un análisis bibliométrico de 1213 artículos sobre previsión turística.

Los resultados muestran que la investigación sobre previsión turística ha experimentado tres etapas. La colaboración institucional incluye la colaboración transnacional y la colaboración institucional nacional. La colaboración entre países aún debe reforzarse. La colaboración entre autores se basa principalmente en la colaboración dentro del campus. Los artículos con una alta cocitación se publican principalmente en las principales revistas de turismo y en otras publicaciones relevantes. El contenido de la investigación se refiere principalmente a la demanda turística, el revenue management, la demanda hotelera y los volúmenes turísticos. La previsión previa y durante la pandemia de la COVID-19 ha ampliado la investigación existente sobre previsión turística. La futura investigación sobre previsiones se centra en el uso racional de los big data, la mejora de la precisión de los modelos y el aumento de la credibilidad de los resultados de las previsiones.

Este artículo utiliza CiteSpace para analizar artículos de previsión turística con el fin de obtener futuras tendencias de investigación, lo que complementa la investigación existente y proporciona orientaciones para futuras investigaciones.