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In this chapter, the problem of facial palsy has been addressed. Facial palsy is a term used for disruption of facial muscles and could result in temporary or permanent damage of the facial nerve. Patients suffering from facial palsy have issues in doing normal day-to-day activities like eating, drinking, talking, and face psychosocial distress because of their physical appearance. To diagnose and treat facial palsy, the first step is to determine the level of facial paralysis that has affected the patient. This is the most important and challenging step. The research done here proposes how quantitative technology can be used to automate the process of diagnosing the degree of facial paralysis in a fast and efficient way.

Based on government data from 1993 to 2008, this chapter aims to compute and analyze the trends of inequity in interprovincial and regional per-student spending in China's compulsory education, and to ascertain the potential impact of changes in education financing policies. Appropriate inequity measures (Gini and Theil index and Gini decomposition, among others) are employed to provide a systematic picture of the trends. Main findings include: (1) all inequity measures show large and overall increased disparities among provinces and among regions, between 1993 and 2008. (2) However, a slight drop of spending inequity is observed at the primary education level around 2002 and a larger reduction in 2005 and on. There are more turning points in the trend of lower-secondary per-student spending among provinces. These patterns are consistent across different inequity measures and spending indicators (per-student total spending, per-student recurrent spending, and per-student nonpersonnel spending). (3) The trend toward more balanced resource allocation around 2002 and 2005 could be the impact from the Reform of Tax and Administrative Charges and the New Mechanism for Financing Rural Compulsory Education. An increased share of budgetary expenditure in determining total spending suggests that equalizing financing policies have the potential to induce a significant reduction in spending inequity. These findings may help policy makers to better understand and alter the extent of spending inequity in compulsory education. This is an original empirical study that systematically derives the spending inequity trends over a long period in China's compulsory education.

Today's marketing is dominated by decision-making based on artificial intelligence and machine learning. This study focuses on one semi- and unsupervised machine learning technique, generative adversarial networks (GANs). GANs are a type of deep learning architecture capable of generating new data similar to the training data that were used to train it, and thus, it is designed to learn a generative model that can produce new samples. GANs have been used in multiple marketing areas, especially in creating images and video and providing customized consumer contents. Through providing a holistic picture of GANs, including its advantage, disadvantage, ethical considerations, and its current application, the study attempts to provide business some strategical orientations, including formulating strong marketing positioning, creating consumer lifetime values, and delivering desired marketing tactics in product, promotion, pricing, and distribution channel. Through using GANs, marketers will create unique experiences for consumers, build strategic focus, and gain competitive advantages. This study is an original endeavor in discussing GANs in marketing, offering fresh insights in this research topic.

In this chapter, we will review the history, deregulation, policy reforms, and airline consolidations and mergers of the Chinese airline industry. The measurement of airline competition in China’s domestic market will also be discussed. Although air deregulation is still ongoing, the Chinese airline industry has become a market-driven business subject to some mild regulations. Then, we will review the impressive development of the high-speed rail (HSR) network in China and its effects on the domestic civil aviation market. In general, previous studies have found that the introduction of HSR services has a significant negative impact on airfare and air travel demand in China. The rapidly expanding network of HSR has important policy implications for Chinese airlines.

In any time and space and under any circumstance, we find peasants are never passive actors in their livelihoods and rural development. Instead, they always create space for manoeuvre in order to make changes. This chapter analyses the innovative actions taken by the majority of rural inhabitants in rural areas during the overwhelming modernization process, so as to affirm that peasants are the main actors of rural development. It is they who have shaped the transformation of rural societies and the history. Through the analysis, this chapter concludes that rural development is not an objective, a blueprint nor a design. It is not the to-be-developed rear field in modernization. It is not the babysitter for cities, nor a rehearsal place for bureaucrats to testify their random thoughts. Rural development is what peasants do. The path they have chosen reveals scenery so different from modernization. If we regard development as a social change, or a cross with influential meanings, we could understand rural development as peasants’ victories over their predicament. Villages accommodate not only peasants, but without peasants villages would surely vanish. In this sense, the most important part in rural development or rural change is peasants – their conditions and their feelings.

The authors measure the impact of culture on Sharia; Social and Financial Disclosure (SSFD) of Islamic Banks (IBs) around the world.

Content analysis is used to measure levels of disclosure for a sample of 136 IBs of 25 countries for years 2013 and 2014. Different cultural measures are used. These include secrecy/transparency as suggested by Gray (1988) and Hofstede (1980, 1983, 2001, 2010)’s culture dimensions which include: Power Distance; Individualism; Masculinity; Uncertainty Avoidance; Long-Term Ordination and Indulgence. Ordinary least square (OLS) regression is used to test the research hypotheses.

After controlling bank-specific, corporate governance and country characteristics, the authors found that Hofstede’s culture dimensions have a significant impact on SSFD. They also found that Gray's transparency dimension positively influence levels of sharia, social and aggregated disclosure. Therefore, they conclude that culture influences levels of disclosure in IBs.

This study has policy implications for managers and regulators of Islamic banking industry.

This study is the first to use both Gray and Hofstede models in the context of IBs around the world. It also the first to explore the impact of culture on three different disclosure levels for IBs.

China is primarily a nonreligious country with less than 10% of people following Buddhism, Taoism, Islam, Catholicism, or other religions. Two major communication paths, the land and sea Silk Roads, directly affected the distribution and development of Muslim tourism and attractions. The combination of Islam with local custom and culture is a unique feature in China, and contributes to its development as a form of ethnic rather than religious tourism. As a result, research in China focuses on ethnic product development, minority sports and anthropological tourism, themed events, and intangible cultural heritage.

Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.

In recent years, especially after the 2008 global financial crisis, the global economic recovery has been struggling. The trend of anti-globalization with populism and protectionism around the world is on the rise. As the largest developing country, China will engage in promoting global economic integration for common development of the world to promote the sustainable development and globalization. This paper will focus on the global operations of Chinese MNCs and explore their social responsibility to go global under the B&R Initiative, study their performance of social responsibility, analyze the potential risks and put forward countermeasures. Based on the report of the Top 100 Chinese MNCs released by China Entrepreneurs Association in 2016, we select 35 corporations related to the B&R, use their comparatively complete data and conduct a statistical analysis of their CSR data. To study the economic, social and environmental performance of CSR and sustainable development, we focus on three major indicators, including employee, environment and the public. Data from 2012 to 2016 are considered, for a total of five years. Through the analysis of CSR data, this paper points the social responsibility development status of major Chinese MNCs under the B&R Initiative and reveals some problems and risks that still exist in the fulfillment of social responsibility. In response to these issues, we make analysis from the perspective of stakeholders, so as to provide ideas for the development of social responsibility of the related corporations. At the initial stage of China's initiative of the Belt and Road, it is a new attempt to launch a research on the social responsibility of Chinese MNCs. Traditionally, research on CSR tends to make horizontal comparison of corporations in different countries and focuses on a certain year. Based on the traditional research and differ from them, we extend the time interval of research beyond a certain year and adopt the trend analysis to CSR data. In addition, case introduction is also used. According to the stakeholder theory and the comprehensiveness of the data, the research is focused on three main aspects, namely, employee, environment and the public. And, we have made a relative conversion of these indicators. These thoughts can examine the social responsibility development of related corporations in a given period and help promote the B&R Initiative.

The research and practices associated to expand the use of active travel have shown extensive benefits on the overall assessment of well-being. However, cycling is still unequal considering age and gender. Therefore, further research is needed for contributing to the wider and more inclusive use of the bicycle for women.

The chapter aims to explore and differentiate the emotive and instrumental subjective well-being (SWB) factors that make cycling especially favourable for women, contributing to their general well-being. The chapter also inquiries about the factors that expand women’s opportunities as consequence of cycling.

The research is focussed in the context of Latin American cities, building on the experience of experts in Santiago, Bogotá, Buenos Aires and Mexico City. These cities have had a substantial increase in urban cycling, and yet low rates of cycling women when compared to men.

The nature of the research is qualitative as it considers semi-structured interviews with 21 women experts from non-governmental organisations, academia, government and cycling organisations. The questions have been framed under the concepts of the SWB, considering emotive and instrumental factors.

The findings show that self-esteem, freedom, empowerment and happiness are some of the emotive factors that have emerged from the analysis of interviews. On the side of instrumental factors, cycling emerges as relevant for women’s care role, entrance to the labour market and for strengthening social relationships leading to the promotion of social capital. Social factors have also emerged, mostly related to the advantages of socialisation, democracy and cycling as a political symbol.