Juan Zhang, Xi Gao, Xi Hong and Hamish Coates
Although doctoral education has experienced substantial development in recent decades, it remains an elite, hence fragile, dimension of university policy and practice. This study…
Abstract
Purpose
Although doctoral education has experienced substantial development in recent decades, it remains an elite, hence fragile, dimension of university policy and practice. This study aims to articulate perspectives to guide the next phase of strengthening and growth.
Design/methodology/approach
Working from theoretical and empirical research conducted in China, including scholarship on workforce ecosystems, education design and the student experience, this study contributes a framework with qualitative insights which clarify the goals and experiences of doctoral education in ways that will render it more relevant, effective and contributing.
Findings
The paper identifies areas for doctoral reform to ensure career readiness, including three distinctive outcomes and four indispensable experiences.
Originality/value
This study advances a doctoral design framework which can render transparent the substance of programs and prompt program coordinators to develop and ensure career relevance.
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Shuai Han, Tongtong Sun, Yanming Sun and Xi Gao
The COVID-19 outbreak has been effectively controlled in China, but the resulting public psychological crisis is a latent, persistent and torturous disaster. This crisis affects…
Abstract
Purpose
The COVID-19 outbreak has been effectively controlled in China, but the resulting public psychological crisis is a latent, persistent and torturous disaster. This crisis affects not only the individual’s health but also social stability. This study aims to reveal the structure and situation of public psychological crisis during the remission period of the COVID-19 epidemic.
Design/methodology/approach
A questionnaire survey of the psychological crisis was conducted from February to May 2021. Data was collected from 1,056 respondents from different provinces in China.
Findings
The findings reveal the dangerous risks of public psychological crises. The specific results are as follows: first, a hierarchical state structure of psychological crisis is constructed and characterized as a significant gradient decline, namely, anxious state>panic state>depressive state>hostile state. Second, 43.939% of respondents reported an anxious state, 46.780% reported a panic state, 40.909% reported a depressive state, 28.883% reported a hostile state and 22.254% of the respondents had four psychological crisis states. Third, those with 56–65 years of age, equal or below high school and PhD, with monthly family incomes of ¥50,000–¥100,000 and living in the county and city areas have relatively high levels of psychological crisis.
Originality/value
This study enriches the research on the evolution of the psychological crisis in terms of structure and periods. This study also provides substantial evidence for hierarchical intervention and differentiated intervention of psychological crisis.
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This study examines a new type of corruption that has not previously been studied but that significantly affects the world. Traditionally, corruption has referred to individuals…
Abstract
Purpose
This study examines a new type of corruption that has not previously been studied but that significantly affects the world. Traditionally, corruption has referred to individuals or organizations that bribe state officials. The author examines a phenomenon in which the briber is actually the government of a country that bribes the rest of the world in order to gain influence and propose a framework to explain it.
Design/methodology/approach
A multi-case qualitative method is used to compile and analyze evidences and develop my arguments. Specifically, the author compiles information on and analyzes the Confucius Institutes, the training of future foreign leaders, influencing the influencers, the Thousand Talents Plan, the Belt and Road Initiative and foreign aid.
Findings
The findings reveal the existence of state-sponsored bribery of the world.
Social implications
State-sponsored bribery is a threat to the world. Recognizing it is the first step to curb it. Reducing the bribery by China's state will benefit the world and China.
Originality/value
State-sponsored bribery is originally defined and documented. A framework about the motivations and capabilities of state-sponsored bribery is proposed, the effects of and responses to such a bribery are reviewed, and policies to curb it are suggested.
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Xiangyang Li, Qinhe Gao, Zhili Zhang and Xianxiang Huang
The paper aims to provide an integrated system for collaborative maintenance training of complex equipment based on virtual maintenance and immersive virtual reality environment.
Abstract
Purpose
The paper aims to provide an integrated system for collaborative maintenance training of complex equipment based on virtual maintenance and immersive virtual reality environment.
Design/methodology/approach
An integrated platform for collaborative virtual maintenance operation and training of complex equipment is developed. The simulation supporting platform for collaborative virtual maintenance is designed with the combined hierarchical structure and modularized members to support the interactive communication of heterogeneous data and information. By analyzing the collaboration mode of multi operators, the maintenance task allocation model, maintenance operation model and Extensible Markup Language‐based object information template are presented.
Findings
The research finds that the proposed system is an efficient platform for collaborative maintenance training of complex equipment.
Practical implications
Appropriate and efficient maintenance task allocation and collaborative maintenance operation of multi operators can significantly improve the maintenance efficiency of complex equipment.
Originality/value
A collaborative virtual maintenance training system of complex equipment based on immersive virtual reality environment is presented.
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Tao Bao, Jiadong Xu and Gao Wei
The purpose of this paper is to design a decoding software for the Reed‐Solomon (RS) codes, which are using an efficient degree computationless algorithm based on the Euclidean…
Abstract
Purpose
The purpose of this paper is to design a decoding software for the Reed‐Solomon (RS) codes, which are using an efficient degree computationless algorithm based on the Euclidean algorithm. As a consequence, the complexity of this new decoding algorithm is dramatically reduced.
Design/methodology/approach
Applying the rules of polynomial in finite field, operation modules which can carry out multiplication, inverse calculation in GF(28) are designed with “C++” language, and a RS codec software based on these is implemented. In this software, the new decoding algorithm computes the error locator polynomial and the error evaluator polynomial simultaneously without performing polynomial divisions, and there is no need for the degree computation cell and the degree comparison cell.
Findings
Owing to the help of this software, the paper can easily perform the RS code for different values of t and different primitive polynomials over GF(2m) without re‐designing the programme.
Originality/value
It will be served as an efficient auxiliary technique for algorithm development and verification together with hardware design and debugging. Furthermore, an illustrative example of (255, 223) RS code using this program shows that the speed of the decoding process is approximately three times faster than that of the conventional decoding software.
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The study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such…
Abstract
Purpose
The study aims to provide a basis for the effective use of safety-related information data and a quantitative assessment way for the occurrence probability of the safety risk such as the fatigue fracture of the key components.
Design/methodology/approach
The fatigue crack growth rate is of dispersion, which is often used to accurately describe with probability density. In view of the external dispersion caused by the load, a simple and applicable probability expression of fatigue crack growth rate is adopted based on the fatigue growth theory. Considering the isolation among the pairs of crack length a and crack formation time t (a∼t data) obtained from same kind of structural parts, a statistical analysis approach of t distribution is proposed, which divides the crack length in several segments. Furthermore, according to the compatibility criterion of crack growth, that is, there is statistical development correspondence among a∼t data, the probability model of crack growth rate is established.
Findings
The results show that the crack growth rate in the stable growth stage can be approximately expressed by the crack growth control curve da/dt = Q•a, and the probability density of the crack growth parameter Q represents the external dispersion; t follows two-parameter Weibull distribution in certain a values.
Originality/value
The probability density f(Q) can be estimated by using the probability model of crack growth rate, and a calculation example shows that the estimation method is effective and practical.
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Premananda Meher and Rohita Kumar Mishra
The purpose of this study is to identify and analyze the key factors influencing stock market movements, using a multifactor hierarchical approach. By applying interpretive…
Abstract
Purpose
The purpose of this study is to identify and analyze the key factors influencing stock market movements, using a multifactor hierarchical approach. By applying interpretive structural modeling (ISM) and Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) techniques, this study aims to uncover the interrelationships between these factors and provide a clearer understanding of their role in shaping market dynamics, with practical implications for investors and policymakers.
Design/methodology/approach
This study uses ISM and MICMAC analysis to explore the hierarchical relationships among key factors driving stock market movements. A panel of 25 financial market experts was used to develop the structural self-interaction matrix, and ISM was applied to structure the relationships between these factors. MICMAC analysis categorized the factors based on their driving power and dependence. The combined use of ISM and MICMAC provides a structured and quantitative approach to understanding the complexities of stock market dynamics.
Findings
The research identifies behavioral biases, corporate governance, interest rates, global events, investor sentiment and market volatility as pivotal factors influencing stock market movements. The hierarchical ISM model reveals that behavioral biases strongly drive investor sentiment, while global events and interest rates heavily impact market volatility. The MICMAC analysis categorizes these variables into autonomous, dependent and independent factors, providing a nuanced understanding of their influence on stock prices.
Research limitations/implications
This study is limited by its reliance on expert judgments, which may introduce bias, and the sample size of 25 experts may not fully capture the diversity of financial market perspectives. In addition, the scope of the study is limited to generalized stock market factors, excluding regional or sector-specific analyses. These limitations affect the generalizability of the findings.
Practical implications
The findings of this research offer practical implications for investors, financial analysts and portfolio managers seeking to navigate the complexities of stock market behavior. By identifying key factors such as behavioral biases, corporate governance, currency fluctuations and regulatory changes, stakeholders can gain a deeper understanding of the dynamics driving stock prices. This structured approach can inform investment strategies, risk management practices and decision-making processes, enabling stakeholders to adapt to market fluctuations and make informed choices that align with their financial goals.
Social implications
This study’s exploration of factors influencing stock market movements carries social implications that extend beyond financial markets. Understanding how global events, political stability and regulatory changes impact stock prices can shed light on the broader socio-economic landscape. By recognizing the interplay between these factors and their influence on investment decisions, policymakers, regulators and society at large can gain insights into the interconnectedness of financial markets with social and political dynamics. This awareness can inform policy decisions, economic strategies and initiatives aimed at fostering market stability and sustainable economic growth.
Originality/value
By using ISM and expert judgment, this research developed a comprehensive model that unveils the key factors influencing stock market movements. This model can potentially be used to inform investment decision-making and improve investment strategies, providing a structured approach for stakeholders to analyze and adapt to the complexities of stock market behavior.
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In order to develop high-strength, high-toughness and high-wear-resistance rails suitable for the development and application of heavy-haul railways.
Abstract
Purpose
In order to develop high-strength, high-toughness and high-wear-resistance rails suitable for the development and application of heavy-haul railways.
Design/methodology/approach
Based on the trial production of 60 kg·m−1 bainite rails, the Zeiss inverted optical microscope, transmission electron microscope and static hydraulic universal tester were used to test the microstructure and property of rail base metal and welded joints. Meanwhile, a trial laying of rails, wing rails of frogs and switch rails for turnouts was performed to systematically analyze their strength, toughness and wear resistance.
Findings
The results show that the base metal of 60 kg·m−1 bainite rail is of a uniform microstructure, with a carbide-free bainite matrix, a few of stable residual austenite and M/A islands, and it features high hardness, good wear resistance and good strength-toughness balance. The welded joint is of a uniform microstructure and has good properties.
Originality/value
A bainite rail, laid in a curve section of heavy-haul railway is able to serve for 48 months with a gross traffic tonnage of nearly 600 million tons, whose service life is more than one time longer than that of pearlite rail; the service life of the wing rail of frog and the switch rail for turnout with 60 kg·m−1 bainite rails is 3–4 times longer than that with U75V rails, and no serious damage occurs. The bainite rails also have strong peeling and spalling resistance.