Lei Huang

Background Ethical issues in nursing care for older adults in community setting are becoming more visible as population aging accelerates. However, existing studies are fragmented and lack a comprehensive synthesis to inform ethical practice and governance. Aims To identify major ethical issues, their impacts, and related strategies in nursing care for older adults in community setting, providing evidence for ethical practice, education, and policy development. Methods A scoping review was conducted following JBI methodology. PubMed, Web of Science, Scopus, CINAHL, Ovid-Embase, PhilPapers, and PsycINFO were searched up to 8 February 2026. Two reviewers independently screened, extracted, and synthesized data. Results Fourteen studies were included in this review. Evidence was synthesized at three levels including nursing staff, older adults, and the care system, and categorized into three domains: ethical challenges, ethical impacts, and improvement strategies. Ethical challenges mainly arise from three aspects: role ambiguity and competence limitations among nursing staff under contextual constraints, restrictions on older adults’ autonomy and opportunities to participate in decision-making, and structural conditions related to resource allocation and governance mechanisms. These ethical issues manifested as increased moral distress and emotional strain among nurses, diminished trust in nurses and reduced care adherence among older adults, and systemic pressures on the quality, equity, and sustainability of community nursing services. To address these challenges, the literature proposed strategies including strengthening ethics education and reflective practice, promoting supportive communication and shared decision-making, and improving governance structures and resource support. Conclusions Ethical issues in community nursing for older adults demonstrate multilevel characteristics embedded within practice contexts and institutional conditions. Strengthening ethical competence, promoting supportive communication and participatory decision-making, and advancing institutionalized ethical governance are essential for fostering more equitable and sustainable community nursing practice. Future research should expand geographical representation and further strengthen the evidence base for ethical governance in community nursing through high-quality empirical studies.

In recent years, with the continuous improvement of urban public transportation capacity, citizens’ travel has become more and more convenient, but there are still some potential problems, such as morning and evening peak congestion, imbalance between the supply and demand of vehicles and passenger flow, emergencies, and social local passenger flow surged due to special circumstances such as activities and inclement weather. If you want to properly guide the local passenger flow and make a reasonable deployment of operating buses, it is necessary to grasp the changing law of public transportation short-term passenger flow. This paper builds a short-term passenger flow prediction model for urban public transportation based on the idea of integrated learning. The goal is to use the integrated model to accurately predict the short-term passenger flow of urban public transportation, using Multivariable Linear Regression, K-Nearest Neighbor, eXtreme Gradient Boosting, and Gated Recurrent Unit as the four seed models, and then use regression algorithm to integrate the model and predict the passenger flow, station boarding and landing, and cross-sectional passenger flow data of the typical representative line 428 in the “Huitian Area” of Beijing from January 1, 2020, to May 31, 2020. Finally, the prediction results of the submodels are compared with those of the integrated model to verify the superiority of the integrated model. The research results of this paper can enrich the short-term passenger flow forecasting system of urban public transportation and provide effective data support and scientific basis for the passenger flow, vehicle management, and dispatch of urban public transportation.

Research integrity has become a pressing concern in China, which accounts for a large share of global retractions. Yet little is known about how research integrity is understood and enacted within teaching hospitals. In this cross‐sectional study, we surveyed 106 medical researchers across four Shanghai hospitals to assess their awareness, attitudes, and practices regarding scientific misconduct, as well as the role of integrity education. Most respondents reported familiarity with definitions of fabrication, falsification, and plagiarism and expressed strong disapproval of these behaviors. Nonetheless, 11%–22% indicated some degree of tolerance toward selective reporting or unjustified authorship, and firsthand reports of witnessed misconduct were uncommon. Participation in formal courses or lectures on research integrity was associated with higher knowledge scores and stronger agreement with ethical principles. These findings reveal a tension between high awareness and partial tolerance, highlighting the importance of exploring how institutional cultures and incentive systems may influence ethical behavior in future research and policy efforts.

We draw from ego depletion and leader–member exchange theories to provide nuanced insight into why abusive supervision is indirectly associated with supervisor-directed destructive voice. A multi-wave, multi-source field study demonstrates evidence that abusive supervision has a positive conditional indirect effect on supervisor-directed destructive voice through subordinates’ relational ego depletion with their supervisors that is stronger for higher LMX differentiation contexts than lower LMX differentiation contexts. We make novel theoretical, empirical, and practical contributions by providing a parsimonious explanation for why relational aspects of supervisory treatment drain subordinates’ capacities for controlling their volitional actions during interactions with their supervisors and how this relationship impacts subordinates’ supervisor-directed destructive voice. Overall, our study extends the application of ego depletion and LMX theories to the examination of abusive supervision and destructive voice in order to meaningfully inform researchers’ attempts to build cohesive streams of research in these areas and practitioners’ attempts to promote ethical workplace environments.