Search Results (4,976)

This study investigated the impact of sexual and bystander harassment experiences on work attitudes, stress, withdrawal, and psychological well-being of part-time employees. Participants included 314 female employees who worked part-time in their organizations. All participants completed a computer-administered workplace experience survey assessing various aspects of their work environment, including personal and bystander harassment experiences, work-related attitudes (supervisor satisfaction, coworker satisfaction, and general job stress), work behaviors (work and job withdrawal), and psychological well-being. Experiences of sexual harassment and bystander harassment were predicted to be negatively related to satisfaction and psychological health and positively related to stress and withdrawal. Both forms of harassment were expected to contribute additively to the prediction of work outcomes and psychological health. Moderator models were examined to explore the potential interactions between sexual and bystander harassment. Results indicated that both forms of harassment were related to work attitudes, stress, and withdrawal. Sexual harassment was the strongest predictor of work outcomes. Discriminant Function Analysis provided additional support for group-based distinctions. The results are discussed in terms of interpersonal and organizational implications, limitations, and future research directions. Full article

Sequential twin-tunnel excavation has become increasingly common as urban rail networks expand, making both deformation control and construction-phase carbon management essential for sustainable underground development. This study investigates the spatiotemporal development of ground settlement induced by parallel Earth Pressure Balance shield tunnelling in a twin-tunnel section of the Hangzhou Metro, based on long-term field monitoring. The settlement process is divided into three stages—immediate construction settlement, time-dependent additional settlement, and long-term consolidation—each associated with distinct levels of energy input, grouting demand, and embodied-carbon release. Peck’s Gaussian function is used to model transverse settlement troughs, and Gaussian superposition is applied to separate the contributions of the leading and trailing tunnels. The results indicate that the trailing shield induces ahead-of-face settlement at approximately two excavation diameters and produces a deeper–narrower settlement trough due to cumulative disturbance within the overlapping interaction zone. A ratio-type indicator, the Twin-Tunnel Interaction Ratio (TIR), is proposed to quantify disturbance intensity and reveal its environmental implications. High TIR values correspond to amplified ground response, prolonged stabilization, repeated compensation grouting, and increased embodied carbon during construction. Reducing effective TIR through coordinated optimization of shield attitude, face pressure, and grouting parameters can improve both deformation control and carbon efficiency. The proposed framework links geotechnical behaviour with environmental performance and provides a practical basis for risk-controlled, energy-efficient, and low-carbon management of sequential shield tunnelling. Full article

This study examines the impact of institutional support and ownership structure on SDG management practices, with a particular focus on the mediating role of managers’ attitudes and engagement in these relationships. The research employs a quantitative approach using PLS-SEM with reflective constructs. The data were collected through a structured survey of 210 listed companies from the Warsaw Stock Exchange (GPW). Medium and large enterprises were selected. All constructs were measured using a seven-point Likert scale. The study provides empirical evidence integrating institutional, corporate governance, and behavioural perspectives. Both institutional support (β = 0.550) and ownership structure (β = 0.316) have a significant positive impact on managerial attitudes. All variables directly and positively influence SDG management practices, and institutional support (β = 0.460), ownership structure (β = 0.230) and managers’ attitudes (β = 0.271) play a significant role. Managers’ attitudes play a significant mediating role in the relationship between institutional support (β = 0.149) and ownership structure (β = 0.086) and SDG management. The conclusions indicate that at the organisational level, the mere application of formal mechanisms is insufficient. Managers’ attitudes are an essential transmission channel that transforms external pressures and internal corporate governance frameworks into effective and strategic sustainable development management practices. This indicates the need to develop leadership competencies and build an organisational culture based on sustainable development values. Full article

Bias and hallucinations in low-resource cultural artefacts significantly impede text-to-image generation models from understanding and disseminating. Focusing on Tibetan as a Chinese minority culture, we produced a children’s picture book through two methods: AI generation and human illustrator. Eye-tracking experiments were employed to investigate participants’ implicit attitudes, aesthetic biases, and cultural perceptions towards these two sources. The results revealed that (1) the hand-drawn group demonstrated higher fidelity to Tibetan culture, exhibiting a positive aesthetic calibration effect in terms of cultural adaptability owing to viewers’ attention duration to the cultural symbols details. (2) The AI-generated group elicited greater viewer interest and emotional engagement through its asymmetric color palettes, especially in color richness and stylistic rendering, and achieved professional-level compositional maturity in multi-character scene generation. This study provides empirical evidence to inform the division of labor between humans and AI in children’s book illustration and explores potential models for future human-AI collaboration. Full article

The rapid diffusion of artificial intelligence (AI) in marketing has reshaped how consumers interact with digital content and evaluate ethical aspects of firms. The present study examines how familiarity with and trust in AI shape consumers’ acceptance of AI-based advertising and, in turn, their ethical purchasing behavior. Data were collected from 505 Greek consumers through an online survey and analyzed using hierarchical and logistic regression models. Reliability and validity tests confirmed the robustness of the measurement instruments. The results show that familiarity with AI technologies significantly enhances trust and ethical confidence toward AI systems. In turn, trust in AI strongly predicts the consumers’ acceptance of AI-driven advertising, while acceptance positively affects ethical consumption intentions. The findings also confirm a mediating relationship, indicating that acceptance of AI-based advertising transmits the effect of AI rust to ethical consumption. By integrating ethical and technological dimensions within a single behavioral model, the study provides a more comprehensive view of how consumers form attitudes toward AI-enabled marketing. Overall, the findings highlight that transparent and responsible AI practices can strengthen brand credibility, foster ethical engagement, and support more sustainable consumer choices. Full article

Background/Objectives: Our objective was to determine the acceptability of and attitudes towards HPV self-sampling among women with HIV and investigate any associations between self-sampling attitudes and participant demographic and clinical characteristics. Methods: Women with HIV aged 18–45 were given a description of HPV self-sampling and instructions on how to self-collect the sample. Participants completed a questionnaire assessing their perceptions of the acceptability and comfort of HPV self-sampling before using the self-sampling methodology. Responses were based on a 5-point Likert scale (strongly agree to strongly disagree) for each statement. Participants’ characteristics were included in bivariate analysis. Chi-square and Fisher’s exact tests were used to assess associations between questionnaire results and participant characteristics. Results: Of the 117 completed questionnaires, 79.6% of participants had a CD4+ T cell count ≥ 500 cells/mm³. Participants’ median age was 39 (IQR 34–43). One hundred participants (85.5%) felt confident they could collect their samples correctly, and 77.8% did not think they would experience difficulties with self-collection. Most participants (68.4%) preferred to self-collect their sample instead of provider-collected sampling. Ninety-six participants (82.1%) agreed they would likely use self-collection methods for future cervical screening. Many participants were concerned about receiving a positive HPV result (68.4%), passing HPV on to their partner(s) (75.7%), and disclosing their HPV status to friends/family (49.6%). Conclusions: Women with HIV seem to be accepting of HPV self-sampling as a cervical cancer screening methodology; however, many participants were concerned about the implications associated with a positive HPV test result. Full article

Introduction: Promoting healthy habits in childhood is fundamental for fostering long-term well-being. This study aimed to develop and psychometrically validate an app-integrated instrument to assess knowledge, habits, and attitudes related to health in children aged 8–11, within the context of the MHealth intervention Healthy Jeart. Methods: A quantitative, cross-sectional design was used. An initial item pool underwent expert content validation before being administered to a sample of 623 children from primary education centers in Andalusia, Spain. Construct validity was examined through exploratory and confirmatory factor analyses. Results: The analyses supported a coherent four-factor structure comprising 21 items: (1) Use of technologies, (2) diet and growth, (3) psychological well-being, and (4) physical activity and well-being. The instrument demonstrated satisfactory model fit and internal consistency, providing a multidimensional assessment of children’s health-related behaviors. The sample was recruited from primary schools in Andalusia (Spain), which may limit the generalizability of the findings to other regions and cultural contexts. Conclusions: The validated instrument offers a reliable and efficient means of evaluating healthy habits in children aged 8–11, particularly when embedded within digital interventions such as Healthy Jeart. It represents a valuable tool for educators and pediatric nursing professionals working in school settings, enabling early identification of gaps in health literacy and supporting targeted interventions that promote holistic child well-being. Full article

This study investigates the factors influencing stakeholders’ willingness to contribute to the Bucak Model Forest (BMF) in Türkiye, a participatory governance initiative aimed at promoting sustainable forest management. Based on a survey of 1134 local residents and stakeholders, the research employs both descriptive statistics and multivariate analyses, including stepwise multiple linear regression and Chi-square tests. The regression analysis revealed that variables such as awareness of the BMF, positive attitudes toward ecotourism, trust in forestry institutions, and willingness to engage in forest-related activities without financial gain positively affect the intention to contribute, while gender showed a weak negative relationship. The overall explanatory power of the regression model was 23%, indicating the need to consider additional variables for a deeper understanding. Chi-square analyses demonstrated weak but significant associations between demographic characteristics and perceptions of forest use, conservation, and organizational trust. The findings underscore the necessity of refining participatory strategies in Model Forests by enhancing outreach, adjusting strategic planning based on local dynamics, and strengthening institutional capacities. The study contributes to the literature on collaborative forest governance and provides practical insights for improving stakeholder engagement in similar landscape-scale sustainability initiatives. Full article

Background: Clínica Esperanza/Hope Clinic (CEHC), a free clinic for low-income, uninsured, Spanish-speaking patients, located in Providence, RI, piloted an intervention to improve vaccination rates. This program, named “Oportuna Vacuna” (OV) aimed to assess vaccine hesitancy in the post-pandemic period and measure improvements to vaccine uptake after integrating healthcare provider (HCP) and patient education with vaccine workflow adjustments. Methods: OV was initiated in January 2023. Culturally attuned and linguistically appropriate vaccine-focused educational programs were developed and provided to patients and HCPs, while workflow modifications to streamline vaccine administration were implemented during clinic visits. Structured pre- and post-intervention chart reviews were conducted and (oral- and) paper-based knowledge, attitudes, and practices surveys were administered to selected staff and patients to assess knowledge, attitudes, and vaccine confidence before and after the interventions. A total of 816 charts were reviewed prior to the intervention; 709 charts were reviewed post-intervention. A total of 72 patient and 10 HCP pre- and post- intervention surveys were completed. Vaccine uptake was compared to the uptake in 2022. Results: Overall vaccination rates at the clinic increased by more than 400% compared to the prior year. Patients and HCPs demonstrated increased vaccine knowledge and confidence, particularly with respect to COVID-19 and HPV vaccines. In contrast, chart reviews of individual patients revealed only a slight improvement in vaccination completion rates for patients over the 1-year period. Conclusion: Substantial increases in vaccine administration rates across multiple vaccine types highlight the effectiveness of OV, mainly for first time patients, at CEHC. Clinic workflow modifications improved vaccination efficiency and increased vaccine uptake. Educational sessions on vaccines were well received by patients and staff. Overall knowledge about vaccines improved during the intervention among staff and HCPs. Patients reported higher trust in HCPs compared to other sources for vaccine information. Full article

To explore the mechanism of consumers’ battery electric vehicle (BEV) purchase behavior in depth and address research gaps related to insufficient consideration of psychological latent variables and neglect of consumer heterogeneity in existing studies, this study constructs a latent class model (LCM) that integrates personal attributes, vehicle attributes, and six psychological latent variables: perceived usefulness, perceived ease of use, perceived risk, environmental awareness, purchase attitude, and purchase intention. Based on 1044 valid questionnaires collected from Urumqi, latent profile analysis (LPA) is used to classify consumers. The results indicate that BEV consumers can be divided into five distinct latent profiles with significant differences in purchase preferences: the risk-avoidance type, the moderate–low intention wait-and-see type, the utility-oriented and low environmental concern type, the high utility cognition and low-risk proactive type, and the all-dimensional high-intention core type. Socioeconomic and vehicle-related factors exert heterogeneous impacts on the psychological variables and purchase decisions of each profile. This study clarifies the intrinsic psychological mechanism of BEV purchase behavior, providing a theoretical basis and targeted strategy references for the government and enterprises to promote BEV adoption and advance sustainable transportation development. Full article

A knowledge graph is constructed for flight test safety, which is conducive to enhancing the data deduction ability in flight test monitoring and offers efficient and highly complex decision-making support for safety monitoring. Based on this graph, an aircraft attitude predictive model is established by employing neural network technology. This model can accurately predict the changes in aircraft attitude under pilot manipulation, with a mean absolute error of 0.18 degrees in the predicted angle of attack values. By integrating the knowledge graph and the predictive model, an auxiliary decision-making method for abnormal aircraft attitude situations is proposed. This method calculates the safety manipulation space of the aircraft under different flight states through risk quantification technology, providing a theoretical basis for the pilots’ manipulation decisions in abnormal attitude situations. The research is verified based on simulation data, which not only enhances the scientific rigor and practicability of flight test safety monitoring in simulated scenarios but also provides new theoretical support and technical approaches for the field of flight safety. Full article

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liver disease worldwide. It greatly increases hepatic cirrhosis and cancer, cardiovascular disease, and chronic kidney disease. Despite the rising frequency of MASLD in Saudi Arabia, public understanding of its management is lacking. Objective: This study seeks to evaluate public knowledge, attitudes, and management barriers related to MASLD, thereby informing future educational and preventive strategies. Methods: A cross-sectional study was conducted from November 2023 to October 2024, involving 502 participants across Saudi Arabia, employing a modified self-administered online questionnaire. Data was analyzed using SPSS 25. Descriptive statistics and Chi-square tests were used to investigate correlations between knowledge or attitude levels and demographics, with a significance threshold of p < 0.05. Results: Less than half of the respondents who took part (47.2%) had heard of MASLD. Of them, 24.9% had good knowledge, 38.2% had fair knowledge, and 36.9% had low understanding. There were strong links between knowledge and age, education, and job status, but not between knowledge and gender (p = 0.514). People were somewhat aware that being overweight (48.4%) and having high cholesterol (51.8%) were risk factors, but they often had wrong ideas regarding diabetes and high blood pressure. Only 7.8% of those surveyed said they had been formally diagnosed, and 74.4% of those who had been were given advice on how to change their lifestyle. Barriers to management included the idea that lifestyle change alone suffices (46.7%), the absence of medical advice (46.7%), and insufficient disease awareness (33.3%). Conclusions: The research shows that many Saudis are unaware of MASLD and have misconceptions about it. Targeted health education programs, greater provider–patient communication, and primary care MASLD knowledge are needed to close these gaps and promote disease prevention and management. Full article

Antibiotics play a crucial role in the treatment of many complicated problems in clinical medicine, but antimicrobial resistance (AMR) has emerged as a serious concern threatening to undermine its effectiveness. Precision medicine (PM) which tailors treatment to individual and genetic and lifestyle factors, may offer a novel approach to combat AMR. Yet, little is known about how healthcare providers in Pakistan understand and integrate the concept of precision medicine within their knowledge, attitudes, and practices (KAP) towards AMR. This study aims to investigate the knowledge, attitude, and practices of healthcare professionals towards AMR and to explore their perception about precision medicine as a strategy to reduce AMR. A mixed method approach was employed for the study. The knowledge, attitude, and practices (KAP) of healthcare professionals (N = 326) were assessed through a validated questionnaire. SPSS version 26 (Statistical Package for the Social Sciences) was employed for descriptive and bivariate analyses to determine KAP score and its association with demographics. Qualitative data were gathered through a focus group discussion and thematic analysis was performed to explore the perception about PM. Results showed that healthcare professionals demonstrate poor knowledge (55.5%), relatively positive attitudes (54.6%), and that nearly half had unfavorable practices (48.3%). Significant associations (p < 0.05) were found between KAP scores and factors such as location, healthcare setting, educational level, professional designation, and prior infectious disease training. During focus group discussion (FGD), HCPs emphasized the cautious use of PM, particularly in the management of resistant infections. However, limitations in resources, poor governance, poverty, and access to data and testing facilities were highlighted as barriers in the implementation of PM into practice. This study highlights critical gaps in knowledge and practices towards AMR among HCPs. While PM is viewed as a potential tool against AMR, systemic support, resource allocation, and targeted awareness programs are essential to integrate PM into clinical practice. Full article

This study examines the role of different factors in supporting the sustainable use of Artificial Intelligence (AI) technologies in higher education, particularly in the context of student interactions with intelligent and human-centered learning tools. Using Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN) within the Technology Acceptance Model (TAM), the research provides a detailed look at how trust influences students’ attitudes and behaviors toward AI-based learning platforms. Data were gathered from 200 students at Occidental Mindoro State College to analyze the effects of social influence, self-efficacy, perceived ease of use, perceived risk, attitude toward use, behavioral intention, acceptance, and actual use. Results from SEM indicate that perceived risk and ease of use have a stronger impact on AI adoption than perceived usefulness and trust. The ANN analysis further shows that acceptance is the most important factor influencing actual AI use, reflecting the complex, non-linear relationships between trust, risk, and adoption. These findings highlight the need for AI systems that are adaptive, transparent, and designed with the user experience in mind. By building interfaces that are more intuitive and reliable, educators and designers can strengthen human–AI interaction and promote responsible and lasting integration of AI in education. Full article

Despite growing attention to corporate environmental responsibility, there is limited understanding of the psychological and social mechanisms linking corporate environmental responsibility to employees’ coworker-focused pro-environmental behaviors in the workplace, such as advocacy directed at peers. This study examined the influence of corporate environmental responsibility on employees’ coworker pro-environmental advocacy in the Chinese energy sector, with a sample of 1528 employees. Focusing on the mediating roles of long-term orientation, meaningful work, and sense of community, the research integrates insights from Social Exchange Theory, Self-determination Theory, and Affective Events Theory. The data were analyzed using structural equation modeling (SEM) to test the hypothesized relationships. The findings revealed that corporate environmental responsibility positively impacted employees’ advocacy for eco-friendly behaviors among coworkers through forward-thinking attitudes, intrinsic motivation, and strengthened social bonds. The study offers theoretical contributions by unpacking the interplay of individual and organizational factors and provides practical recommendations for cultivating an environmentally conscious culture through value alignment, meaningful work initiatives, and fostering a strong sense of community. Full article