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Electromagnetic interference (EMI) on communication systems of unban rail transit can hardly be clarified because of complicated factors around railways. This paper aims to target this issue and extend experimental and theoretical analysis.

This paper take the Nanjing Dashengguan Bridge as an example, because it carries the most tracks in the world and bears three kinds of trains running through, providing a perfect complex environment. First, it investigates the three communication systems, terrestrial trunked radio, communications-based train control (CBTC) and passenger information system (PIS) that Nanjing Metro uses, and select appropriate devices accordingly. Second, it establishes a system level platform and conduct three tests to analyze their respective operating principles and performance difference under common electromagnetic environments. Third, it adopts theoretical formula to verify test results.

The experiment results and theoretical analysis mutually corroborate each other and present practical recommendations: an 8 m or more distance between two tracks will ensure no obvious EMI created by a passing train on communication systems; two certain communication systems should not share the same frequency band; interference level is more related to field strength than weathers and building materials; and CBTC DSSS waveguide mode as well as PIS LTE mode are preferred.

This research also provides a practical method of investigating EMI for other complex situations.

The purpose of this paper is to find an omnidirectional robust gust response stabilization (GRS) scheme with anti-disturbance and state-limited features.

Disturbance observer and barrier Lyapunov techniques, which can, respectively, estimate the lumped disturbances of the dynamic system in real-time and ensure the middle states within some prescribed ranges according to some flight safety indexes.

In the existing literature, almost all of the GRS controllers are either only for the longitudinal dynamics or only for the latitudinal dynamics. Few studies have considered the gust response alleviation problem with omnidirectional wind disturbance and full aircraft model.

This paper proposes a fresh scheme to deal with a more holistic GRS problem; the disturbance observer based (DOB) barrier Lyapunov backstepping longitudinal controller has been put forward; DOB nonlinear dynamic inversion to handle the multi-input-multi-output lateral dynamics; and to closely connect the two loops of the latitudinal dynamics, a manipulating variable conversion method is proposed.

The purpose of this paper is to expand the empirical literature on state tax and expenditure policies and entrepreneurial activity in several meaningful ways.

The authors update the panel data to include several more recent years and also consider other elements of state policy.

The most important takeaway is that even after dealing with some of the known shortcomings of dynamic panel analysis, we are still not able to find economically meaningful impacts of state tax and expenditure policies (generally defined) on entrepreneurial performance.

Earlier studies that have found statistical significance have generally been limited to extensive-margin impacts on such things as self-employment rates or counts of new or small firms. When the authors examine what policy makers actually care about – things like income and employment among entrepreneurial ventures – the authors do not find much in the way of useful policy impacts.

To be sure, the authors find entrepreneurial performance to be statistically significantly related to certain tax rates and expenditure amounts, but the magnitudes of our estimated results cast serious doubts on the usefulness of these particular policy levers for generating meaningful improvements in entrepreneurial success.

The authors’ primary contribution is to improve the empirical consideration of the time series properties of the data. The authors provide a battery of more general and robust analyses to more completely surround the question.

Using panel data of 11324 firms in China from 1996 to 1999, the study finds that FDI tends to generate positive technology spillovers to domestic firms within the same industry, but adversely affect productivity of domestic firms in other industries. It is also found that both the positive and the adverse effects are more significant at the local than the national level. Evidence from China thus suggests that FDI technology spillovers are in favor of domestic firms within the same industry rather than domestic firms in other industries, and are most likely to affect domestic firms within the same locality. The finding has significant implications for the study of the interaction between MNEs and local firms in emerging markets.

The purpose of this study is to examine the impact of MoS₂ on the microstructure and characteristics of micro-arc oxidized (MAO) ceramic coatings created on ZK60 magnesium alloy through the addition of varying concentrations of MoS₂ particles to the electrolyte, aiming to enhance the corrosion resistance of magnesium alloy.

The surface morphology, roughness and phase composition of the coatings were analyzed using scanning electron microscopy, a hand-held roughness tester and an X-ray diffractometer, respectively, and the corrosion resistance of the MAO coatings prepared by the addition of different contents of MoS₂ particles was tested and analyzed using an electrochemical workstation.

The results demonstrate that MoS₂/MgO composite coatings have been successfully prepared on the surface of magnesium alloys through micro-arc oxidation. Furthermore, the corrosion resistance of the ZK60 magnesium alloy prepared with the addition of 1.0 g/L MoS₂ was the best compared to the other samples.

MoS₂ particles were able to penetrate the coatings successfully during the micro-arc oxidation process, acting as a barrier in the micropores to prevent the corrosion medium from touching the surface, thus improving the corrosion resistance of the sample. The electrochemical workstation was used to study the corrosion resistance of the MoS₂/MAO coating on the ZK60 magnesium alloy.

The use of consumer credit by Chinese citizens has risen rapidly in the Internet era. The purpose of this paper is to predict a mechanism for credit consumption through Internet usage, with social comparison and materialism as mediators. Four types of Internet usage (social use, entertainment use, informational use, and online shopping) were identified to investigate whether different types of Internet usage influence credit consumption differently and whether the influencing mechanisms vary.

A structured online survey involving 558 valid responses from Chinese college students was completed, with structural equation modeling being applied to analyze the collected data.

Among the four types of Internet activities, online shopping was found to be the most significant predictor of credit consumption; results show that it influences credit consumption through two indirect pathways: materialism and a combination of social comparison and materialism. Social use was found to only affect credit consumption through materialism. In contrast, the influences of both informational use and entertainment use on credit consumption were insignificant.

By testing the concurrent mediating effects of social comparison and materialism, this study broadens our understanding of how Internet usage and credit consumption are connected. While most studies empirically test overall Internet usage and focus on direct relationships, we identify four types of Internet activities and demonstrate the mechanisms by which different types of Internet usage influence credit consumption, and how consumption varies based on Internet activity.

This study integrates the spiral of silence (SoS) theory and theory of planned behavior (TPB) by examining Facebook users' opinion expression avoidance, the reactions to dissenting views without revealing one's true opinion, in the context of political discussions. The present integrative approach provides a more comprehensive framework that expands our understanding of online opinion expression and withdrawal.

A cross-sectional online survey was employed, which rendered 348 valid responses from US college students (61.5% female; average age 19.11) recruited from a northeastern university.

The results categorized two sets of opinion avoidance strategies from six Facebook features. The intention to adopt “proactive avoidance strategies” (filtering out unwanted information) is positively related to descriptive norms and perceived self-efficacy, but negatively related to fear of isolation and perceived control of the urge to debate. Regarding the intention to employ “reactive avoidance strategies” (less obtrusive articulations), fear of isolation and attitudes toward opinion expression avoidance are positive determinants, whereas perceived control of the urge to debate again exerts a negative influence.

This study examines the growing variety of features that users adopt to avoid expressing their true opinion in reacting to dissenting views, updating our understanding of opinion circumvention in social media environment. As one of the few theoretically driven empirical investigations of SoS theory and TPB, the findings not only elucidate the significance of perceived behavioral control as the common ground in association with user adoption intention but also identify distinct qualities of the two sets of strategies that affect the likelihood of adoption. That is, proactive avoidance is more susceptible to normative influences, while reactive avoidance reflects user attitude and belief. This theoretical integration also helps identify diverse levels of intentions to strategically avoid opinion expression influenced by fear of isolation.

This paper extends the institution theory to examine the relationship between high-performance work system (HPWS) and organizational performance (OP), and analyzes how country of origin interacts with performance measures and industrial affiliation in moderating the HPWS–OP relationship.

The paper collects data of 60,142 firms and establishments in 252 studies published up to December 2021 and employs meta-analysis techniques to test hypotheses on the role of country of origin in moderating the HPWS–OP relationship in conjunction with performance measures and industrial affiliation.

The paper finds that, firstly, there is a positive relationship between HPWS and OP, but the relationship is much stronger in developing than advanced countries. Secondly, the relationship is stronger when OP is measured in operational than financial term in both developing and advanced countries, but the moderating effect of performance measures is stronger in developing than advanced countries. Thirdly, the relationship is stronger in service than manufacturing industries in developing countries, but no such variation is found in advanced countries.

The study for the first time unveils the important role of country of origin in interacting with performance measures and industry affiliation to condition the HPWS–OP relationship, and provides a coherent explanation based on institutional theory. The study sheds fresh light on the HPWS–OP relationship, and has important implications for managers.

The purpose of this paper is to develop a resource-based framework to explain the relationship between high-performance work system (HPWS) and organizational performance (OP) and the moderating role of performance measures.

The paper takes a meta-analysis approach, and tests hypotheses against data of 47,741 firms and establishments in 192 studies published by June 2016.

The paper finds that HPWS has a greater positive effect on operational than financial performance. Moreover, HPWS influences operational performance more strongly in developing than advanced countries and at the firm level than the establishment level, but such variations are not evident in the effect of HPWS on financial performance.

The paper suggests that managers should treat human resource management (HRM) practices as a system, and develop HPWS for operational gains which in turn lead to financial gains. Managers need to take different approaches to develop HPWS for high performance depending on the country of origin and the level of organization.

Based on studies of individual HRM practices, previous meta-analytical studies suggested that the HPWS-OP relationship is invariant across performance measures. Taking HRM practices as integral components of HPWS, this paper extends the resource-based theory to demonstrate that performance measures interact with country of origin and level of analysis to moderate the HPWS-OP relationship.

Appropriate disposal of end-of-life (EOL) electric vehicle battery (EVB) requires new method of supply chain management (SCM) toward sustainability. Sustainable supply chain finance (SSCF) is an innovative managerial practice dedicated to release cash flow pressure and improve operational efficiency in supply chain, which has drawn increasing attentions from academia and industry. There has been few researches on the integration of EOL EVB management and SSCF yet. The paper aims to fulfill this research gap and lead to the conjunction of environmental management with economic and social concerns.

The paper conducts a systematic literature review to discuss the probable SSCF adoption on potential market of EOL EVB disposal.

The results indicate unsustainable factors and potentials to be explored in current market of EOL EVB disposal. As a solution of sustainable SCM, SSCF can ease the tension between the urgent need of EOL EVB disposal and financing problems in the supply chain, strengthening competitive advantages of EV industry.

The significance of this paper lies in offering an interdisciplinary view by drawing upon key perspectives from the emerging sustainable technology of EVB disposal and its underlying battery second use (B2U) market considering SSCF.