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The purpose of this paper is to examine the key factors affecting Mainland Chinese students pursuing a Master of Education degree in Hong Kong on their study abroad decision and return intentions.

The current study employed a mixed-methods approach to investigate factors that affect Mainland Chinese students pursuing MEd degrees in Hong Kong. Participants were first invited to fill out a questionnaire. After collecting and analyzing the survey data, in-depth interviews with a selected group of students were carried out by the research team to obtain useful qualitative data to triangulate the survey findings. A purposeful and convenience sampling method, carried out through the personal network of the research team, was used to recruit MEd Mainland Chinese students in Hong Kong to participate in the current study.

The findings provided compelling evidence that Hong Kong was an attractive study destination to this particular group of MEd Chinese students. The findings also indicated that academic factors were more important than social, cultural and economic factors when it came to choosing their study destination. In contrast to previous studies, participants expressed a much stronger desire to return home upon graduation. The three most influential predictors of their decision to return were the lack of a Hong Kong teaching certificate (r=+0.36), the opportunity to contribute to their hometown (r=+0.31) and the inclination to be closer to family and friends (r=+0.20).

While a number of studies have been carried out to study why Mainland Chinese students chose Hong Kong as their study destination to pursue their teacher training degree, none of these studies focused exclusively on fee-paying MEd Chinese students. Hong Kong is facing keen competition from both traditional host countries and emerging host countries to recruit students from Mainland China. It is therefore crucial to understand the needs of these Mainland Chinese students in a competitive, globalized, tertiary education market, as the satisfaction of students, in the form of positive discussion among alumni, promotes a university’s reputation and sustains its advantage in attracting students.

In this paper I investigate the nature of the differential in poverty by ethnicity in rural China using data from the Chinese Household Income Project in 2002. For that, I compare observed poverty with that in a counterfactual distribution in which ethnic minorities are given a set of relevant village and household characteristics of the Han majority. In particular, I investigate the importance of the location of minorities in explaining their higher poverty levels. The ethnic poverty differential does not change after equalizing the distribution of the population by geographical region (unless we use a higher poverty line). However, it is reduced after equalizing other locational characteristics of minorities (such as them living in less developed and mountainous areas), their larger number of children, their low education, and their fewer skilled non-agriculture workers. Finally, the ethnic per capita (log) income differential is shown to be higher for higher percentiles, with an increasing role of the geographical region as the main driver of these higher differentials.

This study aims to analyse what factors influence ethnic minority group (EMG) college students’ attitudes towards promoting online start-ups and how their different attitudes impact their final online start-up behaviours on the live streaming platform. Based on the COM-B behaviour changing model and the theory of liberal and conservative attitudes, the research model has been established in this study, and it divides influencing factors into the environmental opportunity unit and personal capability unit.

To test relationships among the environmental opportunity, personal capability and personal attitude units, the partial least squares path modelling and variance-based structural equation modelling have been applied on the SmartPLS. Meanwhile, this study considers the regional difference between China’s developed and less-developed regions and promotes multi-group analysis based on it.

Research results show that the online start-up opportunity and capability positively affect EMG college students’ liberal attitudes but reduce EMGs’ conservative attitudes. Meanwhile, this study finds four significant differences, such as the path between conservative attitude and EMG students’ online start-up behaviour and the path between online start-up capability and conservative attitude.

This paper analyses the relationship between influencing factors and EMG students’ online start-up attitudes based on the COM-B behaviour changing model, contributing to the theoretical implications. Meanwhile, considering the impact of regional differences, this paper promotes the multi-group analysis and compares EMG college students from developed regions and others from less-developed areas.

The purpose of this paper is to investigate the pose control of rigid spacecraft subject to dead-zone input, unknown external disturbance and parametric uncertainty in space maneuvering mission.

First, a 6-Degree of Freedom (DOF) dynamic model of rigid spacecraft with dead-zone input, unknown external disturbances and parametric uncertainty is derived. Second, a super-twisting-like fixed-time disturbance observer (FTDO) with strong robustness is developed to estimate the lumped disturbances in fixed time. Based on the proposed observer, a non-singular fixed-time terminal sliding-mode (NFTSM) controller with superior performance is proposed.

Different from the existing sliding-mode controllers, the proposed control scheme can directly avoid the singularity in the controller design and speed up the convergence rate with improved control accuracy. Moreover, no prior knowledge of lumped disturbances’ upper bound and its first derivatives is required. The fixed-time stability of the entire closed-loop system is rigorously proved in the Lyapunov framework. Finally, the effectiveness and superiority of the proposed control scheme are proved by comparison with existing approaches.

The proposed NFTSM controller can merely be applied to a specific type of spacecrafts, as the relevant system states should be measurable.

A NFTSM controller based on a super-twisting-like FTDO can efficiently deal with dead-zone input, unknown external disturbance and parametric uncertainty for spacecraft pose control.

This investigation uses NFTSM control and super-twisting-like FTDO to achieve spacecraft pose control subject to dead-zone input, unknown external disturbance and parametric uncertainty.

A toy UAV performs tumbling, rolling, racing and other complex activities. It is based on low-cost hardware and hence requires a better algorithm to estimate the attitudes more accurately with low power consumption. The proposed technique based on optimized Madgwick filter and moving average filter (MAF) ensures improved convergence speed in estimating the attitude, achieves higher accuracy and provides robustness and stability of the toy UAV. The paper aims to discuss this issue.

Traditional methods are prone to problems such as slow convergence speed and errors in calculation of the attitude angles. These errors cause the vehicle to drift and tremble, thus affecting the overall stability of the vehicle. The proposed method combines the features of optimized Madgwick filter and MAF to provide better accuracy, achieved through the fusion of gyroscope and accelerometer data, and zero correction to eliminate the random drift error of the gyroscope and removal of high-frequency interference by MAF of the accelerometer data. The experimental results on actual flight data showed that the method was better than the conventional Madgwick and Mahony complementary filters.

The performance of the proposed method was analyzed by estimating the pitch and roll angles under the static and dynamic condition of the toy UAV. The results were compared with two traditional methods: Madgwick and Mahony complement filter. In the static condition, the variance and average error while estimating the attitudes was comparatively lower than the traditional method. For the dynamic conditions, the convergence time to achieve a prescribed swing angle was again lower than the traditional method. From these two experiments, it can be seen that the proposed method provides better attitude estimation at lower computation time.

The proposed method combines the optimized Madgwick filter and MAF to accuracy estimate the attitude of toy UAV. The algorithm mainly suits the toy UAVs which are based on low-cost hardware and require better control systems to ensure stability of the vehicle. The experimental results on real flight data illustrate that the method not only improves the convergence speed in estimating the attitude angle for large maneuvers of the toy UAV, but also achieves higher accuracy in the attitude estimation, thus ensuring the robustness and stability of the UAV.

The purpose of this paper is to propose an approach for predicting the movements of Chinese medicinal material price indexes using news based on text mining.

A research framework and three major methods, namely, domain dictionary construction, market convergence time calculation and dimensionality reduction integrating semantic analysis, are proposed for the approach. The proposed approach is applied in practice for predicting the price index movements of the top ten Chinese medicinal materials that receive the greatest media attention.

A set of experiments performed herein show that a predictive relationship exists between the news and the commodity market and that each of the three major methods improves the forecasting performance.

Because the field of Chinese medicinal materials lacks a corpus that can be used for sentiment analysis, the accuracy of a trained automatic sentiment classifier is lower than obtained by a manual method, which can cause the calculated convergence result to be inaccurate, thus affecting the final prediction model. The manual method of having people label news decreases the proposed method’s aspects of being intelligent and automatic.

Using the method proposed herein to predict the trends in Chinese medicinal materials prices helps farmers arrange a reasonable planting plan to pursue their best interests.

The method proposed herein to predict the trends in the prices of Chinese medicinal materials is conducive to the government arranging planned drug availabilities in order to avoid disasters in which herbs are looted.

The produced prediction result is meaningful in supporting farmers and investors to make better decisions in growing and trading Chinese medicinal material, which leads to financial returns on investments and the avoidance of severe losses.

The purpose of this paper is to develop and empirically test a model investigating the relationship among inter-departmental communication, buyer innovativeness, and retail competitiveness. The authors also explore whether a retail strategy of supply base diversification for managing suppliers moderates the association between innovativeness and competitiveness.

Hypotheses were tested using a structural equation model and survey data drawn from general merchandise managers of 149 supermarket retailers in Japan.

The results indicate that inter-departmental communication between merchandising and store divisions drives innovativeness among retail buyers and ultimately strengthens firm competitiveness. Moreover, when buyer innovativeness is evident and less actively the retail buyers utilize supply base diversification, the stronger is the retailer’s competitiveness. The study failed to find any direct impact of inter-departmental communication on retail competitiveness.

This study offers managerial insights into the roles that buyer innovativeness, inter-departmental communications, and supply base diversification play in developing effective competitive strategies.

This study makes two key contributions. First, it is novel in using inter-departmental communication to explain the antecedents of buyer innovativeness. Second, drawing on the power-dependence theory, the authors extend the well-established innovativeness-performance linkage by exploring the moderation effect of supply base diversification.

Although most Chinese ethnic minority groups (EMGs) hold conservative thinking to online-startups, the new entrepreneurial model is booming on live streaming platforms. In China’s tight cultural ecosystem, the tight cultural control would lead EMG entrepreneurs to keep conservative thinking and avoid challenging careers. Still, it would be helpful for Chinese Governments to issue systematical entrepreneurial policies and improve online-startup environment for EMGs. To discover the relationships among influencing factors and EMGs’ online-startup motivation, this paper aims to draw on the tight and loose cultural theory and the capability-opportunity-motivation-behaviour (COM-B) behaviour changing theory and establishes the research model based on China’s tight cultural ecosystem.

Through analysing 617 questionnaires from 37 EMGs based on the partial least squares path modelling and variance-based structural equation modelling method, the study proves that environmental opportunity factors and personal capability factors have positive impacts on EMGs’ online-startup motivation and EMGs’ conservative thinking negatively moderates the relationship between their online-startup motivation and entrepreneurial development behaviour. In addition to testing the hypotheses, the paper also measures the importance-performance map analysis to explore additional findings of influencing factors and provide suitable suggestions for EMG entrepreneurs and related departments.

Regarding the environmental opportunity unit, both policy support and platform support significantly impact Chinese EMGs’ motivation to promote online-startups. For the personal capability unit, a platform using skills positively influences Chinese EMGs to develop online-startups. Meanwhile, EMG cultural knowledge is also necessary for EMG entrepreneurs because abundant cultural resources can be applied to live content and attract online consumers’ watching interests. Furthermore, influenced by the tight cultural control, Chinese EMGs tend to hold conservative thinking to new careers and it negatively moderates the relationship between Chinese EMGs’ online-startup motivation and their final entrepreneurial behaviours. Finally, Chinese EMGs’ online-startup motivation positively affects them to develop online-startups on live streaming platforms.

This study uses the tight and loose cultural theory to analyse the Chinese entrepreneurial environment and discover influencing factors based on the tight cultural ecosystem. Meanwhile, based on the COM-B behaviour changing theory, this paper divides influencing factors into three different units, including the environmental opportunity unit, the personal capability unit and the Tight cultural control unit. Considering the inter-relationships among these units, the research model is established based on the tight cultural ecosystem to discover Chinese EMGs’ online-startup motivation.