In this study, we examine whether, how, and when corporate social responsibility increases promotive and prohibitive voices in accordance with ethical climate theory and multi-experience model of ethical climate. Data from 382 employees at two time points are examined. Results show that CSR is positively related to promotive and prohibitive voices. Other-focused and self-focused climates mediate the relationship between CSR and the two types of voice. Moreover, humble leadership moderates the positive relationship between CSR and other-focused climate. Such leadership moderates (...) the negative relationship between CSR and self-focused climate. Humble leadership also moderates the indirect effect between CSR and the two kinds of voice through other-focused and self-focused climates. The findings of this study provide important insights into how and when CSR influences employee voice. (shrink)

The explosion of multiomics data poses new challenges to existing data mining methods. Joint analysis of multiomics data can make the best of the complementary information that is provided by different types of data. Therefore, they can more accurately explore the biological mechanism of diseases. In this article, two forms of joint nonnegative matrix factorization based on the sparse and graph Laplacian regularization method are proposed. In the method, the graph regularization constraint can preserve the local geometric structure of data. (...) L 2,1 -norm regularization can enhance the sparsity among the rows and remove redundant features in the data. First, SG-jNMF1 projects multiomics data into a common subspace and applies the multiomics fusion characteristic matrix to mine the important information closely related to diseases. Second, multiomics data of the same disease are mapped into the common sample space by SG-jNMF2, and the cluster structures are detected clearly. Experimental results show that SG-jNMF can achieve significant improvement in sample clustering compared with existing joint analysis frameworks. SG-jNMF also effectively integrates multiomics data to identify co-differentially expressed genes. SG-jNMF provides an efficient integrative analysis method for mining the biological information hidden in heterogeneous multiomics data. (shrink)

In the big data era, sequencing technology has produced a large number of biological sequencing data. Different views of the cancer genome data provide sufficient complementary information to explore genetic activity. The identification of differentially expressed genes from multiview cancer gene data is of great importance in cancer diagnosis and treatment. In this paper, we propose a novel method for identifying differentially expressed genes based on tensor robust principal component analysis, which extends the matrix method to the processing of multiway (...) data. To identify differentially expressed genes, the plan is carried out as follows. First, multiview data containing cancer gene expression data from different sources are prepared. Second, the original tensor is decomposed into a sum of a low-rank tensor and a sparse tensor using TRPCA. Third, the differentially expressed genes are considered to be sparse perturbed signals and then identified based on the sparse tensor. Fourth, the differentially expressed genes are evaluated using Gene Ontology and Gene Cards tools. The validity of the TRPCA method was tested using two sets of multiview data. The experimental results showed that our method is superior to the representative methods in efficiency and accuracy aspects. (shrink)

BackgroundNurses are facing increasing pressure due to the progressing of society, broadening of nursing service connotation, and increasing of the masses’ demand for medical treatment. Psychiatric nurses face suicides, violence, and lost along with other accidents involving patients with mental disorders under higher psychological pressure. A coping style, which is affected by individual emotions and cognition, is an essential psychological resource that allows individuals to regulate stress. The purpose of this study was to investigate the correlation between self-acceptance and the (...) positive coping style of psychiatric nurses, and investigate the mediating role of emotional intelligence.MethodsA total of 813 psychiatric nurses from six natural regions in Shandong Province were investigated using the Self-Acceptance Questionnaire, Emotional Intelligence Scale, Simplified Coping Style Questionnaire, and self-compiled general information questionnaire.ResultsThe total EIS score of psychiatric nurses was 3.848 ± 0.459. The highest score was for others’ emotional management and the lowest was for emotion perception. EIS and positive coping style were statistically significant based on age, work experience, professional title, education level, and gender. Self-acceptance was statistically significant only for professional titles. Self-acceptance and emotional intelligence were positively correlated with positive coping style. The factors were also positively correlated with each other. Self-emotion management, others’ emotional management, emotion perception, self-acceptance, and education level jointly predicted positive coping styles. Emotional intelligence partially mediated the relationship between self-acceptance and positive coping styles, with a mediating effect of 16.3%.ConclusionEmotional intelligence and self-acceptance can promote positive coping styles and improve psychiatric nurses’ mental health. (shrink)

Speakers of different languages perceive time differently depending on various factors such as age, pace of life, religion, time of day, and even pregnancy. In recent years, studies have shown that...

Although empirical evidence has shown that socially responsible human resource management practices positively influence employees’ outcomes, knowledge on the social impact of SRHRM practices on employee well-being has been limited. Drawing upon the social information processing theory and attribution theory, we investigate whether, how, and when SRHRM practices increase the well-being of employees. Using multiphase and multilevel data from 474 employees in 50 companies, we find that SRHRM practices positively predict employee well-being and that the relationship is mediated by employees’ (...) perspective-taking. Furthermore, substantive attributions strengthen the positive relationship between SRHRM practices and perspective-taking of employees, whereas symbolic attributions weaken this relationship. We also find that substantive attributions positively moderate the indirect effect of SRHRM practices on employee well-being through perspective-taking, whereas symbolic attributions negatively moderate this indirect effect. Our study contributes to the understanding of the complex effect that SRHRM has on employee well-being. (shrink)