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Lower-limb exoskeleton systems enable people with spinal cord injury to regain some degree of locomotion ability, as the expected motion curve needs to adapt with changing scenarios, i.e. stair heights, distance to the stairs. The authors’ approach enables exoskeleton systems to adapt to different scenarios in stair ascent task safely.

In this paper, the authors learn the locomotion from predefined trajectories and walk upstairs by re-planning the trajectories according to external forces posed on exoskeleton systems. Moreover, instead of using complex sensors as inputs for re-planning in real-time, the approach can obtain forces acting on exoskeleton through dynamic model of human-exoskeleton system learned by an online machine learning approach without accurate parameters.

The proposed approach is validated in both simulation environment and a real walking assistance exoskeleton system. Experimental results prove that the proposed approach achieves better performance than the traditional predefined gait approach.

First, the approach obtain the external forces by a learned dynamic model of human-exoskeleton system, which reduces the cost of exoskeletons and avoids the heavy task of translating sensor input into actuator output. Second, the approach enables exoskeleton accomplish stair ascent task safely in different scenarios.

The purpose of this paper is to explore how the USA seeks to promote its interests in peace and stability in the Taiwan Strait in the context of Taiwan’s unique political status and its democratic system.

A narrative analysis examines the recent history of Taiwan’s democratic development and USA responses to it.

The USA has responded in various ways to the dilemma of respecting the outcomes of elections in friendly democracies while protecting its own interests in peace and security. This was easy during the Ma Ying-jeou administration (2008-2016) but it is likely to become more difficult following Taiwan’s presidential election in January 2016.

This study draws on personal experience and an in-depth understanding of Taiwan politics and US diplomacy.

This paper examines students’ educational choices in vocational education and training (VET) to understand the low reputation of vocational education in China. By analysing the individualisation of these choices within structural and individual relationships, the study explores how the decline of state endorsement and the shift towards rational, individualistic actions influence students' decisions.

Multiple types of data were collected in this study, including administrative records, interviews and autobiographical stories, which were analysed using individualisation theory.

The research indicated three historical periods of the educational choice of Chinese VET students. Stage one (1978–1991) saw vocational education treated as “the first choice” for graduates. Stage two (1992–2000) was marked by the polarisation of educational choice during the social transition from a socialist planned economy to a market economy. During this period, more students started to choose academic high schools over vocational schools, even though the latter still had certain advantages for attracting the better-performing students. The third stage (2001-now) is a time in which vocational education is viewed as “the last choice” under the socialist market economy system. During this period, junior high school graduates prefer to enrol in academic high schools rather than in vocational schools. Aligned with the overall individualisation trend in Chinese society, vocational education decisions situated between societal structures and individuals are also experiencing a shift towards more micro-level individualized behaviours.

The paper provides a historical analysis of education and training provision in China and the complexity of students’ educational choices, revealing the influencing factors across different stages.

This paper draws a comprehensive analysis of the developmental trajectory of vocational education in China across different historical periods, notably under the socialist planned economy and the socialist market economy systems.

The overall goal of this chapter is twofold. First, the authors aim to identify indigenous phenomena that influence employee turnover and retention in the Chinese context. Second, the authors link these phenomena to the contextualization of job embeddedness theory. To achieve the goal, the authors begin by introducing three macro-level forces (i.e., political, economic, and cultural forces) in China that help scholars analyze contextual issues in turnover studies. The authors then provide findings in the literature research on employee retention studies published in Chinese academic journals. Next, the authors discuss six indigenous phenomena (i.e., hukou, community in China, migrant workers, state-owned companies, family benefit prioritization, and guanxi) under the three macro-level forces and offer exploratory propositions illustrating how these phenomena contribute to understanding employee retention in China. Finally, the authors offer suggestions on how contextualized turnover studies shall be conducted in China.

Over the past three decade, China has established a housing finance system that borrows from the collective experiences of advanced economies. After examining the evolution of China’s housing finance system, the paper focuses on analyzing its challenges and recent changes. The paper argues that China’s highly-centralized financial system prefers financial stability but neglects financial liberalization, and then resulted in severe financial repression, which hurts the efficiency and equality of the housing finance service. After recovering from the 2008 financial crisis via high-cost financial intervention, China took some policy innovations to promote a decentralized finance mechanism, expand finance resources, and support affordable housing financing, through which China hopes to provide a more stable, affordable, and equal housing finance service to help more households own homes.

The purpose of this paper is to simulate internal credit ratings based on stock market data and gain the credit information about listed companies.

According to the concept of default distance, default probability of listed companies is obtained from stock's price process based on generalized autoregressive conditionally heteroscedastic‐M model with the generalized error distribution, then credit ratings based on the default probability is built. Moreover, the model's validity is proved using the statistical tests and nonparametric receiver operating characteristic (ROC) curve method.

Application of the proposed methodology on data from Chinese stock market illustrates that default probability model can identify the credit risk of listed companies effectively using the statistical tests and nonparametric ROC curve method. The results from simulating credit ratings based on default probability are positive correlated with the corresponding results from Xinhua Far East China Ratings.

The internal credit ratings‐based default probability can reflect the change of credit quality for listed companies according to market information. For listed companies, especially which possibly suffer from accounting manipulations, the ratings will help investors and supervisors gain their credit information in time.

Considering the popularity and addictive attributes of short-form videos, this study aims to determine mechanisms by which short-form video features affect addiction.

This study conducts empirical research using data collected from 382 Chinese TikTok users. Based on the stimulus–organism–response framework, the research model was constructed from the opponent process theory (OPT) perspective through features and emotional elements.

The results show that short-form video features influence addiction by activating users' perceived enjoyment and feeling of withdrawal. Based on the positive and negative reinforcement of the OPT, users must repeatedly interact with short-form videos to maintain positive emotions or reduce negative emotions. Eventually, this practice will lead to addiction. Additionally, users' procrastination moderates the relationship between feeling of withdrawal and addiction.

This study discussed how features influence addiction through opponent emotions on short-form video from the OPT perspective, enriching scholars' research on social media addiction. Furthermore, this study examined the moderating effects of procrastination and identifies unique features of short-form videos.