Considerable research has been conducted on employee creativity, but it has generally focused on creative outcomes and rarely paid attention to employees’ engagement in creative processes, that is, creative process engagement. Further, job characteristics as antecedents are little understood. Drawing on the job demands-resources model and the conservation of resources theory, this study examines the relationship between challenge-hindrance demands and creative process engagement at different levels of job control. In total, 572 questionnaires from China were used to test our proposed model through hierarchical regression analysis. The results show that when job control is high, the effect of challenge demands on creative process engagement is U-shaped, while that of hindrance demands is negative. When job control is low, both challenge and hindrance demands are not related to creative process engagement.

By offloading computationally intensive tasks to the edge cloud provided by the cellular base stations, the mobile edge computing (MEC) technique has the potential to realize the critical millisecond-scale latency requirement of next generation mobile services. In this paper, we investigate the joint subcarrier and power allocation problem in an orthogonal frequency division multiple access (OFDMA) based MEC system to minimize the maximal delay of each mobile device. The partial data offloading scenario is considered where mobile data can be computed at both local devices and the edge cloud. Since the problem is a combinatorial optimization one, we first propose a lower-bound algorithm by relaxing the channel allocation indicators into continuous variables. Then, to find a low-complexity feasible solution, we further develop a heuristic algorithm which separates subcarrier assignment and power allocation. The performances of our proposed algorithms are finally tested by extensive numerical simulations.

Decomposition of plastic materials into minuscule particles and their long-term uptake pose increasing concerns on environmental sustainability and biosafety. Besides common cell viability and cytotoxicity evaluations, how plastic nanoparticles interfere with different stress response pathways and affect cellular fitness has been less explored. Here, we provided the first piece of evidence to demonstrate plastic nanoparticles potentially can deteriorate proteome stability, compromise cellular protein homeostasis, and consequently cause global proteome misfolding and aggregation. Polystyrene (PS) nanoparticles of different sizes and surface charges were exploited as model plastic materials. In cell lysate and human blood plasma, naked PS nanoparticles with hydrophobic surface deteriorated proteome thermodynamic stability and exaggerated its aggregation propensity. While no cell viability ablation was observed in cells treated with PS nanoparticles up to 200 μg·mL^-1, global proteome aggregation and stress was detected by a selective proteome aggregation sensor. Further proteomics analysis revealed how protein homeostasis network was remodeled by positively charged PS nanoparticles via differential expression of key proteins to counteract proteome stress. In mice model, size-dependent liver accumulation of positively charged PS nanoparticles induced hepatocellular proteome aggregation and compromised protein homeostasis network capacity that were invisible to standard alanine transaminase and aspartate transaminase (ALT/AST) liver function as-say and histology. Meanwhile, long-term liver accumulation of plastic nanoparticles deteriorated liver metabolism and saturated liver detoxification capacity of overdosed acetaminophen. This work highlighted the impact of nanoplastics on cellular proteome integrity and cellular fitness that are invisible to current biochemical assays and clinical tests.

Introduction: Psychological entitlement and felt obligation are two correlated but distinctive conceptions. Prior studies have mainly explored their influences on employees' (un)ethical behavior, respectively. Recently, several studies suggest the interactive impacts of psychological entitlement with felt obligation on individual behavioral choices. In consistency with these studies, the present study focuses on the influences of (in)congruences in psychological entitlement and felt obligation on employees' (un)ethical behavior.Methods: A two-wave multi-source questionnaire survey is conducted to collect 202 matched questionnaires from full-time Chinese workers. The polynomial regression with response surface analysis is employed to test hypotheses.Results: The results indicate that: (1) employees have higher levels of work engagement and helping behavior but lower levels of unethical behavior when their psychological entitlement and felt obligation are balanced at higher levels rather than lower levels; (2) employees have higher levels of work engagement and helping behavior but lower levels of unethical behavior when they have higher levels of felt obligation but lower levels of psychological entitlement compared to those having lower levels of felt obligation but higher levels of psychological entitlement; and (3) work engagement mediates the relationship between (in)congruences in psychological entitlement and felt obligation and employees' helping behavior and unethical behavior.Discussion: This study provides a novel insight into the interactive influences of (in)congruence in psychological entitlement and felt obligation on employees' ethical behavioral choices.

Work engagement and burnout are two of the most significant work states in nurses. The increasing prevalence of information and communication technologies (ICT) in the workplace means that nurses are required not only to actively embrace technological advancements for their own well-being and to enhance the quality of nursing care, but also to simultaneously learn to cope with the mental and physical health issues arising from ICT use. Nevertheless, research on the work status of Chinese nurses in the context of ICT demands remains scant, particularly in large-sample, multi-center empirical studies. to investigate the distinct predictors of work engagement and job burnout among Chinese nurses in the context of ICT demands, and to clarify the differential mechanisms underlying these two work states. A cross-sectional survey (N = 1612) was conducted among Chinese nurses from January to February 2024, utilizing questionnaires to collect demographic information, work-related details, job resources, job stressors, work engagement and job burnout within the context of ICT usage. Descriptive statistics and one-way ANOVA were employed to identify control variables based on demographic and work-related information. Pearson correlation analysis explored relationships between job resources, job stressors, and nurses’ work status. Regression models for work engagement and job burnout were constructed, with LASSO regression selecting the most critical influencing variables. The LASSO regression model of nurses’ work engagement includes seven explanatory variables, of which the ones that pass the significance test are harmonious work passion, positive affect, and self-efficacy. The LASSO regression model of nurses’ job burnout included 9 variables, of which the statistically significant ones were ego depletion, negative affect, job insecurity, and ICT demands. This study makes three innovative contributions. First, it identified three key resource gain factors that significantly related to nurses’ work engagement. Second, it pinpointed four principal resource loss factors that contribute to nurses’ burnout. Third, it distinguished between the two concepts of work engagement and burnout and examined the differentiated factors that influence them, thereby providing a nuanced understanding of the distinct mechanisms at play. Not Applicable. •Work engagement and burnout are two noteworthy work states of nursing professionals. They deserve heightened research attention and are closely related to the acquisition and consumption of nurses’ psychological resources. •Advancing information technology is changing the characteristics of nurses’ work. It is imperative to focus on the impact of relevant work-related factors on nurses’ work status, as this can facilitate early intervention and enhance the quality of nursing care. •Current research has yet to explore logical regression models of the impact of ICT work demands on nurses’ work status.