Employees' emotions have an important effect on their job performance, thus leaders can influence subordinates' emotions through emotional contagion and emotional appeal and ultimately affect their job performance. Based on the affective events theory, this study examines the impact of emotional leadership on the subordinates' job performance, the mediating role of subordinates' positive emotions, and the moderating role of susceptibility to positive emotion. Hierarchical regression analysis of 362 valid questionnaires showed that: (1) emotional leadership has a significant positive effect on (...) subordinates' job performance; (2) subordinates' positive emotion partially mediated the relationship between emotional leadership and subordinates' job performance; (3) subordinates' susceptibility to positive emotion positively moderated the relationship between emotional leadership and positive emotions, i.e., the higher the subordinates' susceptibility to positive emotion, the greater the effect of emotional leadership on their positive emotions. This study validates affective events theory, deepens the understanding of the influence mechanism and boundary conditions of emotional leadership on subordinates' job performance, and provides some references for employee performance management. (shrink)

Root text and autocommentary on the principles of Buddhist logic.

Root text with two commentaries i.e. Sde bdun mdo daṅ bcas paʾi dgoṅs pa phyin ci ma log par ʾgrel pa tshad ma rigs paʾi gter gyi don gsal bar byed pa by Go-rams-pa Bsod-nams-seṅ-ge and Tshad ma rigs paʾi gter gyi mchan ʾgrel sde bdun gsal baʾi sgron me by ʾJam-dbyaṅs Blo-gter-dbaṅ-po on principles of Buddhist logic.

Currently, the coronavirus disease 2019 pandemic experienced by the international community has increased the usage frequency of borderless, highly personalized social media platforms of all age groups. Analyzing and modeling texts sent through social media online can reveal the characteristics of the psychological dynamic state and living conditions of social media users during the pandemic more extensively and comprehensively. This study selects the Sina Weibo platform, which is highly popular in China and analyzes the subjective well-being of Weibo users during (...) the COVID-19 pandemic in combination with the machine learning classification algorithm. The study first invokes the SWB classification model to classify the SWB level of original texts released by 1,322 Weibo active users during the COVID-19 pandemic and then combines the latent growth curve model and the latent growth mixture model to investigate the developmental trend and heterogeneity characteristics of the SWB of Weibo users after the COVID-19 outbreak. The results present a downward trend and then an upward trend of the SWB of Weibo users during the pandemic as a whole. There was a significant correlation between the initial state and the development rate of the SWB after the COVID-19 outbreak. LGMM results show that there were two heterogeneous classes of the SWB after the COVID-19 outbreak, and the development rate of the SWB of the two classes was significantly different. The larger class showed a slow growth, while the smaller class showed a rapid growth. Furthermore, the slope means across the two classes were significantly different. Therefore, the individuals with a higher growth rate of SWB exhibited stronger adaptability to the changes in their living environments. These results could help to formulate effective interventions on the mental health level of the public after the public health emergency outbreak. (shrink)

Followership is an important but understudied domain. This study adopted a follower-centric perspective to examine the internal process by which followership affects creative performance via work autonomy and creative self-efficacy. The study employed a 3-wave survey of 341 employees of a Taiwanese university to achieve the research purpose. This study showed that effective followership is positively associated with employees’ work autonomy and creative self-efficacy. Work autonomy and creative self-efficacy mediate the relationship between effective followership and creative performance. This study’s empirical (...) findings provide an improved way of measuring followership and broaden our understanding of how followership triggers intrinsic motivation to facilitate creative performance. (shrink)

本书探讨了西方自由主义普遍主义产生的社会历史根源,考察了它的三种主要论证形式及其某些变种,分析了每种论证形式的认识论根源和误区。.

Commentary on Tshad ma rigs gter, a work on Buddhist logic by Sa-skya Paṇḍi-ṭa Kun-dgaʾ-rgyal-mtshan, 1182-1251.

Commentary on the Tshad ma rigs gter of Sa-skya Paṇḍita Kun-dgaʾ-rgyal-mtshan; dealing with Buddhist logic.

Identifying important entities in software systems has many implications for effective resource allocation. Complex network research opens new opportunities for identifying important entities from software networks. However, the existing methods only focus on identifying important classes. Little work has been done on the identification of important packages. Moreover, the metrics they used to quantify the class importance are only designed for unweighted software networks and cannot fit in with the weighted software networks. To overcome these limitations, in this article, we (...) introduce the weighted k-core decomposition method to identify the important packages. First, we use a weighted software network to describe packages and their internal dependencies. Second, we use Wk-core to partition a software network into a layered structure. Then, the packages that are denoted by the nodes within the main core are the identified important packages. To evaluate our method, we use a variant of the susceptible–infectious–recovered model to examine the spreading influence of the nodes in six real weighted software networks. The results show that our method can well identify influential nodes, better than other four methods. Furthermore, we demonstrate our method on two software networks and show that the important packages identified by our method are more meaningful from a software engineering perspective when compared with the other methods. (shrink)

Few studies have examined how family capital affects the sense of place, and the effect of spatial thinking on the relationship between the two is unclear. This study constructs a mediation model to examine the impact of family capital on sense of place and the mediation effect of geospatial thinking. A total of 1,004 upper-secondary-school students were surveyed using the Family Capital Questionnaire, the Geospatial Thinking Test, and the Sense of Place Scale. The correlation analysis showed that family capital has (...) a positive effect on both sense of place and geospatial thinking. Moreover, there is also a significant positive correlation between geospatial thinking and sense of place. The results of mediation analysis indicated that geospatial thinking plays mediating and buffering roles in the relationship between family capital and sense of place after controlling for gender and residential address. The direct and indirect effects accounted for 73.31 and 26.69% of the total effect, respectively. Specifically, family capital is a significant positive predictor of both sense of place and geospatial thinking, and geospatial thinking partially mediates the relationship between family capital and sense of place. Students from better family backgrounds are more likely to have a better geospatial thinking and sense of place, as well as geospatial thinking promotes the development of a sense of place. Therefore, both family capital and geospatial thinking should be considered when we want to examine and develop individuals’ level of sense of place. (shrink)

Root text and autocommentary on Buddhist logic.

The transplanted firm is an important force to promote the network evolution and cluster transformation and upgrading of the undertaking firm. From the micro-analytic perspective of firm network, this paper puts forward a theoretical framework with “relationship-network-evolution” as the main line. Taking the refrigeration industry cluster in Minquan County of China as a case study and keeping the firm networks of economic relation, technical cooperation, and social communication firm network in 2009, 2013, and 2017 as the research objects, this paper (...) analyzes the structure and evolution characteristics of regional firm network system, proposes the degree and effect of the local embeddedness of transplanted firms, and discusses their differences between international and interregional transplanted firms. The results revealed that: the local embeddedness of transplanted firms significantly promotes the development of refrigeration industry network. The network power of large-scale transplanted firms in the cluster is increasing day by day, and the network presents a multi-core trend. The local embeddedness of some transplanted firms is not high, and the overall connectivity of the network is not strong. Network intermediary nodes have strong heterogeneity, and the intermediary role of some large transplanted firms in the network needs to be improved. The three network systems have similar structural characteristics, and social capital plays an important role in the local embeddedness of transplanted firms and the development of regional firm network. Compared with international transplanted firms, interregional transplanted firms are more adaptable in terms of local embeddedness. The research results provide a reference for the construction of similar industrial clusters in China and other developing countries. (shrink)

When relating genomic data to survival outcomes, there are three main challenges that are the censored survival outcomes, the high-dimensionality of the genomic data, and the non-normality of data. We propose a method to tackle these challenges simultaneously and obtain a robust estimation of detecting significant genes related to survival outcomes based on Accelerated Failure Time model. Specifically, we include a general loss function to the AFT model, adopt model regularization and shrinkage technique, cope with parameters tuning and model selection, (...) and develop an algorithm based on unified Expectation–Maximization approach for easy implementation. Simulation results demonstrate the advantages of the proposed method compared with existing methods when the data has heavy-tailed errors and correlated covariates. Two real case studies on patients are provided to illustrate the application of the proposed method. (shrink)

The existing literature has explored the impact of high-speed rail (HSR) opening on macrolevel environmental performance. However, few studies have validated its effects on microlevel corporate environmental responsibility performance. Therefore, on the basis of data from Chinese A-share listed companies from 2011 to 2020, we examine the relationship between HSR opening and corporate environmental responsibility performance, along with the underlying reasons for this relationship. Our research reveals that HSR opening can significantly improve the corporate environmental responsibility performance. Talent aggregation and (...) supervisory pressure constitute the two main channels that explain the positive relationship. Furthermore, the results of heterogeneity tests indicate that this positive effect is more significant in cities with larger populations and administrative centers, as well as in nonpolluting industries and companies certified through ISO14001 environmental management systems. This paper confirms that HSR opening contributes to generating positive externalities for firms and provides valuable insights into improving and understanding corporate environmental responsibility performance. (shrink)

Previous studies of the lexical psycholinguistic properties in second language production have assessed the degree of an LPP dimension of an L2 corpus by computing the mean ratings of unique content words in the corpus for that dimension, without considering the possibility that learners at different proficiency levels may perceive the degree of that dimension of the same words differently. This study extended a dynamic semantic similarity algorithm to estimate the degree of five different LPP dimensions of several sub-corpora of (...) the Education First-Cambridge Open Language Database representing L2 English learners at different proficiency levels. Our findings provide initial evidence for the validity of the algorithm for assessing the LPPs in L2 production and contribute useful insights into between-proficiency relationships and cross-proficiency differences in the LPPs in L2 production as well as the relationships among different LPP dimensions. (shrink)

This study examines the impact of employment values on college students’ choice intention of slow employment, as well as the role of employment anxiety and social support in this process. A questionnaire survey is conducted among students from several universities in Haidian and Changping Districts of Beijing to test a theoretical model. It is found that the employment long-term income orientation and employment cost avoidance orientation significantly positively predicted the choice intention of slow employment, and employment anxiety plays a mediating (...) role in this relationship. The short-term income orientation of employment significantly negatively affects the choice intention of slow employment. Social support moderates the impact of the long-term and short-term employment income orientation on employment anxiety and the mediation effect of employment anxiety. This study contributes to the literature on college students’ employment psychology and behavior, and it provides an approach for colleges and universities, society at large, families, and college students to reduce the choice intention of slow employment and achieve fuller employment. (shrink)