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1 – 10 of 63Farzana Quoquab, Maizaitulaidawati Md Husin, Rohaida Basiruddin and Abdul Hamid Mohamed
Traditional Chinese Medicine (TCM) is a complete medical healthcare system that encompasses acupuncture, acupressure, moxibustion, herbal medicine, diet, tui na massage, and…
Abstract
Traditional Chinese Medicine (TCM) is a complete medical healthcare system that encompasses acupuncture, acupressure, moxibustion, herbal medicine, diet, tui na massage, and exercises (tai chi and qigong) among other traditional therapies. It uses herbs and natural resources to produce the traditional medicines and focuses on maintaining the balance between body and mind. As such, many aspects of TCM can be considered as green and sustainable. While there is market demand for TCM in some countries and among some communities, some others are still not aware of TCM. Moreover, there are fewer discussions in the academic platforms on TCM. This case highlights the scenario of TCM based on Malaysia’s perspective and discusses its challenges and prospects.
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Serhat Yüksel and Gözde Gülseven Ubay
No carbon gas is released into the atmosphere in electricity production with wind energy. Therefore, this type of energy is significantly environmentally friendly. On the other…
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No carbon gas is released into the atmosphere in electricity production with wind energy. Therefore, this type of energy is significantly environmentally friendly. On the other hand, thanks to wind energy investments, a country can produce its own energy. This reduces the country’s foreign dependency on energy. Due to these positive aspects, increasing wind energy investments is very important for both the social and economic development of the country. The aim of this study is to define the most appropriate government support to improve wind energy investments. In this context, four different criteria are defined in this regard by making a detailed literature review. In the analysis process, fuzzy AHP methodology is considered. Within this framework, the comparative evaluations of three different experts are obtained. The findings indicate that providing loans with low-interest rate is the most appropriate government support for the wind energy investors. Additionally, it is also defined that tax deduction is another important issue for this purpose. However, it is also identified that appropriate location supply and purchase guarantee of the product produced have lower importance in comparison with the others. It is strongly recommended that governments should provide loans to the wind energy investors. This strategy can minimize the problem of high initial cost so that it can be much easier to attract the attention of the investors.
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The purpose of this chapter is to share the experience and discuss issues that support and hinder inclusive practices in Taiwan. In this chapter, inclusion-related culture and…
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The purpose of this chapter is to share the experience and discuss issues that support and hinder inclusive practices in Taiwan. In this chapter, inclusion-related culture and policies are described in the context of Taiwan, followed by the challenges and lessons learned from promoting inclusive education for students with disabilities from the perspectives of general and special education teachers. Some promising strategies applied by teachers are also discussed in this chapter based on the findings of the research literature in Taiwan. Implications for practice and research about inclusion are addressed at the end of this chapter.
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Chung-Gee Lin, Min-Teh Yu, Chien-Yu Chen and Pei-Hsuan Hsu
This chapter derives sentiment indicators (implied volatility and implied skewness) from the option pricing models of Corrado and Su (1996), Bakshi, Kapadia, and Madan (2003), and…
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This chapter derives sentiment indicators (implied volatility and implied skewness) from the option pricing models of Corrado and Su (1996), Bakshi, Kapadia, and Madan (2003), and Zhang, Zhen, Sun, and Zhao (2017), and then integrates these sentiment indicators with artificial intelligence deep neural network (AIDNN) for developing the behavioral finance AIDNN (BFAIDNN) algorithms. We apply the BFAIDNN algorithms to daily derivatives data of Taiwan Futures and Options markets from 2015 to 2017. Our results demonstrate that the trading strategies established by the BFAIDNN algorithms can generate positive rewards.
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The present work assesses destination and service quality attributes, in terms of exploring the stronger and weaker points within these entities. In addition, it explores the…
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The present work assesses destination and service quality attributes, in terms of exploring the stronger and weaker points within these entities. In addition, it explores the relative effect of holistic experiences of destinations and the service-specific attributes on tourists’ overall satisfaction with destinations. Building on the perception, performance, and service quality literature a survey is carried out at 5 different tourist attractions among 701 tourists from over 15 countries worldwide visiting Northern Norway. The results divulge that many destination attributes are important; however, tourists find that the destination performs correspondingly with the perceived importance of destinations. The service quality attributes are also important, but reveal a perceptual gap between importance and performance. The study finds that Northern Norway as a tourist destination should concentrate on “uniqueness” and “novelty” to enhance tourist satisfaction. Service providers are advised to keep up the good work on “giving a good impression and a nice welcome” to enhance tourist satisfaction.
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Giuseppe Arbia, Vincenzo Nardelli and Chiara Ghiringhelli
Traditional epidemic models, like the classical SIR, are fitted to real data using deterministic optimization techniques. As a consequence, their performances cannot be properly…
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Traditional epidemic models, like the classical SIR, are fitted to real data using deterministic optimization techniques. As a consequence, their performances cannot be properly assessed and, more importantly, the estimates of the critical epidemic parameters (which are of dramatic importance in monitoring the epidemic evolution) cannot be complemented with the calculation of confidence intervals. The aim of the present work is to remove such limitations and to compare the results obtained using two stochastic versions of deterministic SIR models. We describe the two alternatives and the associated estimation procedures, and we apply the two methodologies to a set of COVID-19 data observed in Italy in the 2020 pandemic wave. Our estimates of the basic reproduction number are comparable with the official sources, but using our methods uncertainty can also be properly assessed.
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According to the current body of literature published, the outbreak of coronavirus is estimated to have an immense influence both on the supply and demand sides of the tourism…
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According to the current body of literature published, the outbreak of coronavirus is estimated to have an immense influence both on the supply and demand sides of the tourism industry. The lockdown and the risk of disease has in/directly forced consumers to respond to their regular life patterns in general and consumption patterns in tourism, travel and hospitality operations in particular. Consumers have mostly begun using online shopping platforms for varying reasons, and online platforms have become a great opportunity for businesses to transform their regular operations and collect the individualized data of consumers across the globe. On the other hand, the service providers have had a short break in their operations by thinking about different ways on how to respond to possible changes both in production and consumption patterns. For instance, passengers, particularly those who are elderly and less risk aversive, are less likely to board on flights and take cruise tours in the short term. Using own cars instead of benefiting from car rental services, on the other hand, have appeared to be an alternative way of travelling to short-haul destinations. As a result, this chapter aims to provide a generic discussion of how the coronavirus is likely to influence the services operated by the aviation industry. The chapter, to a greater extent, benefits from the results of existing conceptual/empirical studies, media news as well as the reports of various international organizations such as UNWTO and IATA.
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Purpose – Intersections are hazardous locations and to improve their safety we need to understand the factors contributing to crashes at these locations and provide evidence-based…
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Purpose – Intersections are hazardous locations and to improve their safety we need to understand the factors contributing to crashes at these locations and provide evidence-based recommendations to reduce them. This chapter provides a summary of the findings on infrastructure-related factors contributing to crashes at urban and rural intersections and some discussions on the implications and potential countermeasures.
Approach – A review of the literature on intersection crashes was performed to identify the infrastructure-related crash-contributing factors. Some discussions on the implications and potential countermeasures are then provided.
Findings – The factors contributing to road crashes are diverse and complex. While the safety effects of a few factors (e.g., exposure and speed) are relatively consistent, many factors have different impacts on crash frequency and severity (e.g., types of intersection) and different impacts on urban and rural intersections (e.g., bus stops).
Research Implications – More studies are needed on developing a stronger theoretical or conceptual foundation on the effects of roadway designs and traffic controls on different dimensions of safety (e.g., exposure, frequency, severity, etc.), types of crashes (e.g., head-on, rear-end, etc.) or road users involved (e.g., drivers, pedestrians, cyclists, etc.).
Practical Implications – Transport engineers need to be aware that some treatments may have different effects on different crash types and road users involved. Even though the overall safety may be improved by the treatments designed, they need to consider and mitigate any unintended consequences to satisfy the Pareto improvement principle and the social equity criterion.
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