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This study investigated four different economic level areas of China (Shanghai, Shandong, Shaanxi, and Guizhou) to analyze the eastern and western urban and rural media service status at different development stages. This set of data comes from the comparison of regional urban and rural areas and indicates the various aspects of differences in the survey area, including the media use habits, media resources, media consumer demand, evaluation of media services, the role of media in public life, public knowledge level, and so on. On analyzing data comprehensively, one thing can be found that there is a positive correlation between the public media contact degree and the public knowledge level. The media plays an extremely important role in public life and regional public knowledge gap between urban and rural areas exists. Furthermore, this gap is positively correlated to the media resources and media exposure. The trend of media using on mobile phone and computer in urban areas increases significantly greater than in rural areas. Then, how to narrow the urban–rural and regional public knowledge gap and reduce the negative impact of the digital divide will be an important urgent task.

Drawing on conservation of resources theory, this study aims to examine the relationship between temporal leadership (TL) and employees’ thriving at work (TW) by focusing on the positive mediating role of perception of work-goal progress (PWP), the negative mediating roles of job-based psychological ownership (JPO) and the moderating role of synchrony preference (SP).

We employed a dedicated data collection platform called Credamo for two waves of online questionnaires in China between March 2022 and April 2022. A total of 326 questionnaires were collected and analyzed to test the hypotheses.

(1) TL directly and positively affects TW. (2) TL indirectly and positively affects TW via PWP. (3) TL indirectly and negatively affects TW via JPO. (4) SP positively moderates the positive mediating effect of PWP on the relationship between TL and TW. (5) SP negatively moderates the negative mediating effect of JPO on the relationship between TL and TW.

Supervisors in organizations ought to discreetly practice TL and try to maximize the positive role of PWP and minimize the negative role of JPO.

The findings simultaneously discuss the effects of TL on TW from dark and bright perspectives. The influence of interaction between contextual and individual features on TW is also specified.

Because of the various advantages of reinforcement learning (RL) mentioned above, this study uses RL to train unmanned aerial vehicles to perform two tasks: target search and cooperative obstacle avoidance.

This study draws inspiration from the recurrent state-space model and recurrent models (RPM) to propose a simpler yet highly effective model called the unmanned aerial vehicles prediction model (UAVPM). The main objective is to assist in training the UAV representation model with a recurrent neural network, using the soft actor-critic algorithm.

This study proposes a generalized actor-critic framework consisting of three modules: representation, policy and value. This architecture serves as the foundation for training UAVPM. This study proposes the UAVPM, which is designed to aid in training the recurrent representation using the transition model, reward recovery model and observation recovery model. Unlike traditional approaches reliant solely on reward signals, RPM incorporates temporal information. In addition, it allows the inclusion of extra knowledge or information from virtual training environments. This study designs UAV target search and UAV cooperative obstacle avoidance tasks. The algorithm outperforms baselines in these two environments.

It is important to note that UAVPM does not play a role in the inference phase. This means that the representation model and policy remain independent of UAVPM. Consequently, this study can introduce additional “cheating” information from virtual training environments to guide the UAV representation without concerns about its real-world existence. By leveraging historical information more effectively, this study enhances UAVs’ decision-making abilities, thus improving the performance of both tasks at hand.

This chapter studies banks’ loan pricing behavior in mainland China during 2003–2013 by applying panel regressions to firm-level loan data and the estimated default likelihood for listed companies. The authors find that with the progress of market-oriented financial reforms, banks generally require compensation for their exposure to borrowers’ default risks. It is even more so if the borrower is a non-state-owned enterprise (non-SOE), mainly due to the pricing behavior of the Big Four banks. Bank lending rates are shown to be less sensitive to the default risks of state-owned enterprises (SOEs). Our results also reveal that banks priced in firm default risks before 2008 financial crisis, but not necessarily so after the crisis. As for industries, we find that after the 2008 Global Financial Crisis, the real estate sector and other government-supported industries tended to enjoy better terms on loan pricing in terms of default risks. We believe the main reason is that the government stimulus policies tilted toward those industries that have played crucial roles in China’s economic growth.

This study aims to better understand the relationship between peer feedback in the context of online collaborative note-taking and how comments impacted student performance and understanding.

This one sample investigation was of graduate students participating in an academic writing class working collaboratively online. Data was gathered on student feedback during note-taking activity to test for its effects on student performance and understanding.

The use of peer comments in online note-taking was found to impact student quiz scores and academic writing skills positively. However, no significance was found between comments and the completeness of their notes taken, suggesting its limits to promote deeper understanding.

The level and detail about the comments made and how accurately they recall the important details from the video lectures is not known. The average number of comments made weekly by each group was also low.

Designers and teachers using online collaborative activities could benefit by understanding the nature in which peer comments can enhance student learning, bearing in mind the need for explicit guidance in how to comment and at what level of knowledge their comments should target.

Online collaboration, peer editing and commenting is widely used by educators and the public. A better understanding of how these elements operate might improve the quality of knowledge artefacts such as academic writing and research notes.

Existing literature focuses mainly on peer feedback on writing or other artefacts; this paper seeks to find out more about the impact of comments in particular on collaborative note-taking.

Despite the increasingly growing empirical research on leader humor, the critical issue of how and when leader humor affects newcomer adjustment was largely overlooked. The purpose of this study is to examine the relationship between leader humor and newcomer adjustment. Based on social information processing theory, the authors identify newcomers' role breadth self-efficacy (RBSE) as the mediator and suggest that newcomers' cognitive flexibility moderates the effects.

Data were obtained from a 2-wave sample of 195 newcomers. The authors utilized the PROCESS procedure developed by Hayes to assess the hypothesized moderated mediation model.

The findings showed that leader humor could boost newcomers' RBSE which, in turn, was beneficial to newcomer adjustment. Besides, newcomers' cognitive flexibility plays a moderating role in the relationship between leader humor and newcomers' RBSE.

This study utilized a cross-sectional research design, making the design difficult to obtain causal conclusions. Moreover, the data were all based on self-reports from newcomers, which may raise a concern of common method bias.

This paper extends the literature on leader humor and newcomer adjustment by treating RBSE as the mediator and newcomers' cognitive flexibility as the moderator. This study is one of several empirical studies to test the link between leader humor and newcomer adjustment.

The purpose of this paper is to exploit the multiple-Toeplitz matrices reconstruction method combined with quadratic spatial smoothing processing to improve the direction-of-arrival (DOA) estimation performance of coherent signals at low signal-to-noise ratio (SNRs).

An improved multiple-Toeplitz matrices reconstruction method is proposed via quadratic spatial smoothing processing. Our proposed method takes advantage of the available information contained in the auto-covariance matrices of individual Toeplitz matrices and the cross-covariance matrices of different Toeplitz matrices, which results in a higher noise suppression ability.

Theoretical analysis and simulation results show that, compared with the existing Toeplitz matrix processing methods, the proposed method improves the DOA estimation performance in cases with a low SNR. Especially for the cases with a low SNR and small snapshot number as well as with closely spaced sources, the proposed method can achieve much better performance on estimation accuracy and resolution probability.

The study investigates the possibility of reusing pre-existing designs for the DOA estimation of the coherent signals. The proposed technique enables achieve good estimation performance at low SNRs.

The paper includes implications for the DOA problem at low SNRs in communication systems.

The proposed method proved to be useful for the DOA estimation at low SNR.

A wide urban–rural income gap exists in China despite the implementation of pro-rural policies. Additionally, with the proliferation of the internet and information technology, the promotion effect of e-commerce on the economy has become apparent. Accordingly, China has been actively encouraging rural households to participate in e-commerce activities. This study aims to examine the effect of e-commerce on the urban–rural income gap.

In the study, linear and panel threshold models were applied to provincial-level panel data from 2002 to 2018.

The results of the linear model show that e-commerce contributes to narrowing the urban–rural income gap. Moreover, the panel threshold model results show that the narrowing effect exists in regions where the e-commerce intensity is at a medium-to-high level and urbanization is at a relatively low level; otherwise, e-commerce has no effect. In addition, in regions with a relatively high level of public expenditure and education, the income-gap-narrowing effect of e-commerce is more than double.

The urban–rural income gap can be reduced by promoting e-commerce and reducing the urban–rural divide in e-commerce use.

To determine how varying levels of e-commerce development affect the urban–rural income gap across regions, the study proposes four key causes of the digital divide in e-commerce: e-commerce intensity, public expenditure level, urbanization level and education level and applies the variables as threshold variables to examine the non-linear effect of e-commerce on the income gap.

This study aims to use the ego depletion theory to examine the impact of hindrance stressors on knowledge sharing behaviors by investigating the mediating role of ego depletion and the moderating role of self-enhancing humor.

Data were obtained from a two-wave sample of 226 dyads, including employees in the manufacturing industry and their direct supervisors. The hypotheses were tested by hierarchical regression analyzes and Hayes’ PROCESS macro.

The results demonstrated that employees’ self-enhancing humor style could alleviate the impact of hindrance stressors on employees’ ego depletion state and buffer the negative indirect effect of hindrance stressors on employees’ knowledge-sharing behaviors.

Although the authors collected mediator and dependent variables from different sources, this study used a cross-sectional research design, making it difficult to draw causal conclusions. Besides, hindrance stressors, ego depletion and self-enhancing humor style were all reported by employees.

Through the study, the authors highlight the important role of the self-control view in explaining proactive behavior in the workplace and a great awareness of the unforeseeable consequences of ego depletion for employees.

The author argues and explains that the indigenous Eastern epistemological frame of yin-yang balancing can be taken as a unique system of thinking toward a meta-perspective. It is not only deeply rooted in the indigenous Eastern culture traditions, but also bears salient global implications, especially in the domain of paradox management. The purpose and contribution of this chapter are twofold: (1) to explain the unique and salient features of yin-yang balancing (the “either/and” system to reframe paradox into duality as partially conflicting and partially complementary, both spatially and temporarily) as compared with the Western logic systems (the “either/or” and “both/or” or “both/and” systems); and (2) to explore the global implications of the “either/and” system for future paradox research, including the three unique themes of overlap between opposites with the “seed” of one opposite inside the other; threshold from the contingent balance between partial separation and partial integration in line with specific contexts through three operating mechanisms, and knot for the special role of third-party to shift paradox from a dyadic level to a triadic and even a multiplex level.