Search Results (568)

Household food waste remains a persistent challenge despite widespread pro-environmental intentions. Drawing on Brehm’s Motivational Intensity Theory, this study examined how perceived difficulty and perceived ability interact with motivation to predict self-reported food waste. We surveyed 939 participants in Flanders and Spain, measuring motivation to avoid waste, self-rated perceived ability to manage food, meal planning perceived difficulty, and food waste. Moderated moderation analyses revealed that motivation and perceived ability each independently predicted lower waste. Crucially, a significant three-way interaction showed that motivation most effectively reduced waste when perceived difficulty was low and perceived ability was high; when perceived difficulty exceeded perceived ability, motivation had no mitigating effect. These findings underscore that effort mobilization influenced by both individual capacity and situational demands is key to closing the intention–behavior gap in food waste. Practically, interventions should go beyond raising awareness to simplify tasks and bolster consumers’ skills, aligning action demands with realistic effort levels. Full article

Background: Nurse-manager competencies shape workforce stability, yet role-based perception gaps between managers and staff may influence staff nurses’ turnover cognitions. Objectives: To (1) compare nurse managers’ self-ratings with staff nurses’ ratings of the same managers on the Nurse Manager Competency Inventory (NMCI); (2) compare both groups’ perceptions of staff nurses’ turnover intention (EMTIS); (3) examine domain-specific links between perceived competencies and perceived turnover intention; and (4) explore demographic influences (age, education, experience) on these perceptions. Methods: Cross-sectional dual-rater study with 225 staff nurses and 171 nurse managers in two tertiary hospitals in Saudi Arabia. Data were collected from August to November 2024. Managers completed NMCI self-ratings, and staff nurses rated their managers on the same NMCI domains; both groups rated staff nurses’ turnover intention using EMTIS. Between-group differences were tested with one-way ANOVA (two-tailed α = 0.05), and associations were examined with Pearson’s r (95% CIs). Findings: Managers consistently rated themselves higher than staff rated them across all nine NMCI domains; the largest descriptive gaps were in Promoting Staff Retention, Recruit Staff, Perform Supervisory Responsibilities, and Facilitate Staff Development (e.g., overall NMCI: managers M = 3.67, SD = 0.61 vs. staff M = 3.04, SD = 0.74; F = 0.114, p = 0.73)with comparatively smaller divergence for Ensure Patient Safety and Quality. Managers and staff did not differ significantly on EMTIS (overall EMTIS: managers M = 3.16, SD = 1.28 vs. staff M = 3.00, SD = 1.15; F = 21.32, p = 0.173). Specific competency domains—retention, supervision, staff development, safety/quality leadership, and quality improvement—showed small inverse correlations with EMTIS facets (typical r ≈ −0.11 to −0.19; p < 0.05), whereas the global NMCI–overall EMTIS correlation was non-significant (r = −0.077, p = 0.124). Effect sizes were modest and should be interpreted cautiously. Conclusions: Actionable signals reside at the domain (micro-competency) level rather than in global leadership composites. Targeted, continuous, unit-embedded development in human- and development-focused competencies—tracked with dual-lens (manager–staff) measurement and linked to retention KPIs—may help nudge turnover cognitions downward. Key limitations include the cross-sectional, perception-based design and two-site setting. Findings nonetheless align with international workforce challenges and may be transferable to similar hospital contexts. Full article

In higher education, institutional quality is traditionally assessed through metrics such as academic programs, research output, educational resources, and community services. However, it is important that their activities align with student expectations, particularly in relation to interactive learning environments, learning management system interaction, curricular and co-curricular activities, accessibility, support services and other learning resources that ensure academic success and, jointly, career readiness. The growing popularity of student engagement metrics as one of the key measures to evaluate institutional efficacy is now a feature across higher education. By monitoring student engagement, institutions assess the impact of existing resources and make necessary improvements or interventions to ensure student success. This study presents a comprehensive analysis of student feedback from the StudentSurvey.ie dataset (2016–2022), which consists of approximately 275,000 student responses, focusing on student self-perception of engagement in the learning process. By using classical topic modelling techniques such as Latent Dirichlet Allocation (LDA) and Bi-term Topic Modelling (BTM), along with the advanced transformer-based BERTopic model, we identify key themes in student responses that can impact institutional strength performance metrics. BTM proved more effective than LDA for short text analysis, whereas BERTopic offered greater semantic coherence and uncovered hidden themes using deep learning embeddings. Moreover, a custom Named Entity Recognition (NER) model successfully extracted entities such as university personnel, digital tools, and educational resources, with improved performance as the training data size increased. To enable students to offer actionable feedback, suggesting areas of improvement, an n-gram and bigram network analysis was used to focus on common modifiers such as “more” and “better” and trends across student groups. This study introduces a fully automated, scalable pipeline that integrates topic modelling, NER, and n-gram analysis to interpret student feedback, offering reportable insights and supporting structured enhancements to the student learning experience. Full article

Background/Objectives: Executive functioning (EF) and prospective memory (PM) difficulties have been documented in adults with developmental dyslexia. However, research has tended to focus on university students with a formal diagnosis, overlooking adults who may experience symptoms of dyslexia without ever being formally diagnosed. The present online study aimed to investigate the effects of dyslexia traits on EF and PM in a larger, community-based sample by prioritising the use of self-report measures that include and differentiate between underexplored aspects of EF and PM in the dyslexia literature. Methods: One hundred and eighty adult volunteers of a wide range of ages were included in the final analysis. Participants completed four self-report questionnaires with good pedigrees assessing dyslexia traits and ADHD symptomatology, as well as everyday experiences of five distinct EFs, PM and PM strategies. Results: Hierarchical regression analyses revealed that, after controlling for age and ADHD symptomatology, more self-reported dyslexia traits were associated with more frequent EF problems overall and lower confidence in PM Abilities. Elevated dyslexia traits were significantly associated with self-reports of more difficulties with time-management, organisation and self-restraint, but not with more difficulties with motivation and regulation of emotion. No significant associations were found between dyslexia traits and the self-reported use of PM-enhancing strategies. Conclusions: The findings are considered in the light of potential metacognition deficits and theoretical and practical implications are discussed. Full article

Caregiver self-regulation may be a critical component of caregivers’ effective delivery of caregiver-mediated interventions (CMIs). CMIs are a highly evidence-based group of interventions that target a broad range of challenges, including social communication, emotion regulation, and externalizing behaviors, for autistic and neurotypical children. CMIs teach caregivers to be “coaches” to help their children learn and practice skills in daily life. However, being a good “coach” likely requires caregivers to optimally self-regulate their emotions, thoughts, and behaviors when working with their children in moments that are often emotionally heightened. Caregiver self-regulation is a set of skills that promote parenting autonomy and confidence: self-sufficiency, self-efficacy, self-management, personal agency, and problem solving. This conceptual paper will briefly discuss the literature on the role of caregiver self-regulation in CMIs and argue that future implementation research on CMIs should measure caregiver self-regulation because, in line with recent expansion of the theory of planned behavior, caregiver self-regulation may predict more effective implementation of CMIs. We also argue, in line with CFIR 2.0, that supporting caregiver self-regulation could ultimately improve the implementation of CMIs with regard to each implementation outcome in the Implementation Outcomes Framework. For example, enhancing caregiver self-regulation may improve CMI appropriateness (by increasing alignment with each caregiver’s values and culture), adoption (by increasing engagement to finish the full CMI protocol), and even CMI sustainability (by increasing caregivers’ ability to problem-solve and generalize to new child challenges independently, freeing up provider time to work with new caregivers and allowing the agency to provide the CMI for a reduced relative cost). Should future research demonstrate that caregiver self-regulation is an implementation determinant, future implementation strategies may need to include support for caregiver self-regulation, because it may explain or enhance the implementation of CMIs across early intervention and community mental health systems. Full article

The terror management health model (TMHM) offers a framework to investigate how concerns about mortality can motivate health-related behaviors through actions that bolster self-esteem. This framework may be especially useful for examining how a family history of breast cancer influences preventative breast health behaviors. Women with no family history, a family history where a family member survived breast cancer, and those who lost a family member to the disease were recruited to participate in one of two preregistered online studies. Participants completed measures of perceived susceptibility, associations of breast cancer with death, breast health esteem, and behavioral breast health intentions. In both studies, the effect of family history on behavioral intentions was serially mediated by susceptibility perceptions, breast cancer–death association, and feelings of esteem related to breast health behaviors. There were no effects of priming mortality. Taken together, the results suggest that both susceptibility perceptions and death associations are critical for encouraging breast health behaviors among women with family history, and this works through a mechanism relevant to self-esteem. Interventions may be more effective when they emphasize the esteem value of breast health behaviors for individuals at increased risk. Full article

Background/Objective: The global increase in life expectancy has led to a higher prevalence of multimorbidity among older patients, often requiring frequent and complex healthcare. Enhancing self-care skills during hospitalization is a key priority in promoting patient autonomy and improving outcomes. The objective of the study was to analyze the effect of the primary nursing model on the therapeutic self-care of older patients with multimorbidity during hospitalization. Methods: It was a quasi-experimental study conducted in two comparable medical-surgical units of a private hospital in Portugal. The intervention unit adopted the primary nursing model, while the control unit maintained standard nursing care. A convenience sample of older patients with multimorbidity was recruited (n = 206; intervention group = 106, control group = 100). Therapeutic self-care was measured using the Portuguese version of the Therapeutic Self-Care Scale at admission, discharge, and follow-up. Statistical analyses included independent samples t-tests to assess between-group differences. Results: At baseline, the intervention group had significantly lower self-care scores than the control group (t_(191.045) = −2.24; p = 0.026). However, between admission and follow-up, the intervention group showed significantly greater improvements in self-care scores compared with the control group (t_(187.55) = 2.68; p = 0.008). Conclusions: The primary nursing care model contributed to enhanced therapeutic self-care skills in older patients with multimorbidity during and after hospitalization. Nurse managers and clinical teams can consider the primary nursing model as an effective care organization strategy to foster self-care, promote patient-centered outcomes, and improve care continuity for older patients with complex needs. Trial Registration: ClinicalTrials.gov Identifier: NCT06702150 (Registered 12 November 2024). Full article

Background: Poor adherence to antihypertensive therapy is a major barrier to effective blood pressure control, particularly in countries with a high burden of non-communicable diseases. In Kazakhstan, improving adherence is a key objective of the “Densaulyk” State Health Program (2020–2025). Objective: To assess medication adherence among patients with arterial hypertension in Kazakhstan and identify associated socio-demographic and clinical factors. Methods: A cross-sectional survey was conducted among outpatient hypertensive patients at a major urban medical center. Adherence was measured using the 8-item Morisky Medication Adherence Scale (MMAS-8). Socio-demographic characteristics, disease duration, and the number of prescribed medications were analyzed in relation to adherence levels. Results: Adherence was significantly associated with age, ethnicity, education, marital and financial status, disease duration, and treatment complexity. A notable share of participants demonstrated low to moderate adherence. The use of self-reported data may have introduced bias. Conclusions: Medication adherence in Kazakhstan is influenced by multiple interrelated factors. Targeted and culturally appropriate interventions—such as simplified regimens, digital tools, and broader access to subsidized drugs—are essential to improve long-term outcomes in hypertension management. Full article

The reactivation of BK polyomavirus (BKPyV) during severe immunosuppression plays a crucial role in two significant syndromes observed in transplant recipients: BK polyomavirus-associated nephropathy (BKPyVAN) in kidney transplant patients and BK polyomavirus-associated hemorrhagic cystitis (BKPyV-HC) in hematopoietic cell transplant (HCT) recipients. This review aims to summarize the current understanding and lingering ambiguity by looking at three primary questions: (1) In cases with BKPyV-related illnesses in transplant patients, which diagnostic methods have the best track record of accuracy and success? (2) Which therapy approaches have the best track records of safety and efficacy in real-world clinical settings? (3) What can immunological research teach us about the development of future tailored treatments? Diagnosis involves the patient’s appearance, ruling out other potential causes, and employing quantitative PCR to identify active viral replication in urine or plasma. BKPyV-HC can vary from self-limited hematuria to potentially fatal bleeding, while BKPyVAN may lead to loss and dysfunction of the allograft. Reducing immunosuppression remains the key aspect of treatment. However, the effectiveness of antivirals (such cidofovir and leflunomide) is not always the same, and supporting measures depend on the syndrome. Researchers are looking into new immunotherapies, such as virus-specific cytotoxic T cells. Due to the intricate viro-immunopathology and lack of defined treatment regimens, future initiatives should focus on prospective studies to establish validated thresholds, enhance management algorithms, and integrate immune surveillance into individualized therapy. Full article

In South Korea, reclaimed coastal tidelands (RTLs) are generally used for rice cultivation rather than upland cultivation; however, there is growing social pressure to change the use of RTLs to upland crop production to increase the self-sufficiency rate regarding grain. However, RTLs are not suitable for cultivating upland crops due to their high salinity, poor drainage, and shallow groundwater levels. Therefore, it is necessary to develop a cost-effective drainage method, such as surface drainage. This study investigated the effects of slope construction on surface drainage and on the growth and yield of soybean (Glycine max (L.) Merr.) in poorly drained fields at the Saemangeum RTL, which is the largest RTL district in South Korea. Slopes were constructed at angles of 0°, 3°, and 5°; soybean was sown in June 2023 (wet season) and May 2024 (dry season); and growth of soybean was monitored at the flowering, pod-filling, and harvest stages. Soil pH, electrical conductivity (EC), and mineral nitrogen (NH₄⁺ and NO₃⁻) were measured monthly, while daily changes in soil water content were measured using soil sensors. As expected, slope construction enhanced surface runoff from the upper to lower slope areas under heavy rainfall, but soil erosion was also increased. Soybean growth and yield were higher in the upper sites for the wet-season conditions mainly due to lowered moisture stress. For the dry-season, there was no significant differences in soybean growth and yield across the slopes due to drought and high temperatures during flowering and pod-filling stages. Soybean growth and yield parameters were negatively correlated with both soil water content and pH. Slope construction improves surface drainage but does not consistently translate into higher soybean yields, highlighting its limited agronomic and economic value when used alone. Instead, integrated management practices combining drainage improvement, supplemental irrigation, and soil erosion reduction need to be implemented to support sustainable upland cropping in coastal RTLs. Full article

Digitalization is reshaping entrepreneurship, yet the mechanisms that translate new technological possibilities into entrepreneurial intention remain poorly understood, especially for resource-constrained small and medium-sized enterprises (SMEs). Building on the Theory of Planned Behaviour, Entrepreneurial Risk-Taking Theory and Affordance Theory, this study proposes and tests an integrated model that captures how individual cognition, digital capability and platform-related risk interact to shape digital entrepreneurial intention (DEI). Survey data from 428 Greek SME owner-managers were analyzed with Partial Least Squares Structural Equation Modelling (PLS-SEM). Results show that entrepreneurial self-efficacy, financial risk tolerance, digital literacy and perceived platform affordances each exert significant positive effects on DEI, whereas perceived platform risk exerts a significant negative effect. Importantly, platform risk also dampens the positive impact of self-efficacy, revealing a boundary condition often overlooked in intention research. The findings position digital transformation as a double-edged phenomenon amplifying opportunity through affordances while simultaneously magnifying risk. The study advances theory by integrating risk perceptions and affordance recognition into a TPB framework, and it offers actionable guidance: policy makers should stabilize digital-regulatory regimes, platform providers should increase transparency and reliability, and SME support programs should blend digital-skills training with calibrated risk-management tools. Together, such measures can convert latent entrepreneurial confidence into resilient digital venture creation. This study contributes to theory by extending the Theory of Planned Behaviour with risk-sensitive boundary conditions, broadening Risk-Taking Theory to account for platform-specific uncertainties, and validating Affordance Theory in a digital SME context. Practically, it provides actionable guidance for entrepreneurs, policymakers, and platform operators on balancing digital capability development with systemic risk governance. Full article

Background: Disasters, although predictable, often occur unexpectedly, and efforts must be directed towards reducing their impact. Emergency healthcare workers, key players in disaster response, should maintain a high level of preparedness to act in catastrophic situations. Data on knowledge, attitude, and disaster preparedness among emergency healthcare workers is scarce, particularly for developed countries in Europe. This study aimed to measure the perceived preparedness of various health practitioners in emergency care in Iași county (Romania) and identify factors that influence it. Materials and methods: A self-assessment web-based questionnaire was developed to measure knowledge (K), attitude (A), and preparedness (P). Nonparametric tests compared measurements between demographic groups. Spearman correlation, linear univariate, and multivariate regression models were used to test the effect of perceived knowledge, attitude, and other work-related factors (such as experience, training, and leadership) on disaster preparedness. Results: 211 valid entries were recorded (114 female and 97 male), of which 33.6% were doctors, 25.1% were nurses, and 23.7% were paramedics. There were differences in exposure to training across health professions for disasters and trauma management (p = 0.03 and p = 0.009). The sample’s overall scores for the three primary domains assessed were moderate. Univariate analyses identified a significant effect of knowledge and attitude on preparedness (B = 0.9, 95% CI: 0.79–1.01, p < 0.001, and B = 0.81, 95% CI: 0.66–0.97, p < 0.001, respectively), which was maintained in multivariate regression. Workplace factors (disaster plans and institutional collaboration), along with experience in disaster management and emergency care, were determinants of preparedness, while the effect of training was insignificant. Conclusions: Most healthcare workers displayed moderate preparedness for disasters, while exposure to training and practice was found to be inadequate. Focus should be placed on identifying barriers and enhancing training delivery, strengthening institutional involvement in staff preparedness, and improving inter-professional collaborations. Adequate training methods must be developed and validated in further studies. Full article

There is increasing interest in integrating various forms of Information and Communication technologies (ICT) into education. Well-established theoretical guidelines should guide the integration of these technologies. A flipped classroom is an example of an educational approach that integrates ICT and is guided by an active learning philosophy. The current study aims to evaluate participants’ acceptance of the flipped learning instructional model using six indicators—perceived usefulness, ease of use, hedonic motivation, attitude, self-efficacy, and educational quality—and to assess overall satisfaction. Additionally, it examines how these factors relate to overall satisfaction with this approach. The study utilized a descriptive cross-sectional research design with an exploratory and correlational orientation. The target population for this study included undergraduate students enrolled in the “Computer Applications in Education” course offered by the College of Education over three consecutive semesters: the second semester of the 2023/2024 academic year and the first and second semesters of 2024/2025. All students in this course experienced the flipped learning model as part of their instructional activities. Out of the 180 students, 137 completed the data collection tool, which was a questionnaire. The results showed that participants’ acceptance of the flipped learning approach was generally positive, ranging from moderate to high across all measured dimensions. The majority reported high levels of hedonic motivation, positive attitudes, perceived educational quality, and ease of use of the flipped learning requirements. Students found the flipped learning experience enjoyable, effective, and manageable. They believed it enhanced their learning and reported moderate self-efficacy and perceived usefulness. While satisfaction with flipped learning was moderate overall, it was strongly associated with enjoyment, positive attitudes, self-efficacy, and perceived educational quality, as evident in the results of the correlation analysis. Regression analysis revealed that these four factors were significantly associated with students’ satisfaction, whereas perceived usefulness and ease of use were not significantly associated when considered alongside other variables. These results suggest that emotional engagement, confidence, and perceived educational value are key contributors to students’ satisfaction with flipped learning. Full article

Automation has been widely applied and has greatly affected quality management in the catering industry. Intelligent restaurants refer to those in which smart devices and artificial intelligence (AI) technologies (such as robots and self-service technologies) are embedded in the restaurant environment. However, the existing research on intelligent restaurants has mostly focused on the technological development of equipment. Hence, this interdisciplinary study, integrating insights from hospitality management and human–computer interaction, examines how human-provided and automated-provided services interactively influence customers’ dining experience quality in intelligent restaurants, and how they affect customers’ perceived value and their social media sharing generation. This study develops a measurement scale of dining experience quality in intelligent restaurants that contains human-provided experience and automated-provided experience through in-depth interviews with 15 customers (Study1), and a model was proposed and verified using partial least-squares structural equation modelling (PLS-SEM) analysis on a sample of 493 customers dining in intelligent restaurants (Study 2), which shows that the quality of dining experience has a positive effect on customer perceived value, overall satisfaction in intelligent restaurants, and social media sharing generation. Specifically, automated-provided services offer functional value, while human employees mainly provide perceived emotional value. Perceived functional value has a greater impact on overall satisfaction with intelligent restaurants. The originality of this research is that it integrates services provided by humans and services provided by automated devices and clarifies the different roles of functional and emotional value in shaping customers’ perceived value. These findings provide a new research perspective for intelligent restaurants and insight into the optimization of service quality and automation systems in intelligent restaurants, thereby promoting sustainable business practices in the industry. Full article

Screening for diabetes-specific distress should be considered a standard component of diabetes management. This study aimed to evaluate the psychometric properties of the Serbian adaptation of the Problem Areas in Diabetes—Teen Version (PAID-T). Methods: A multicentre, validation, cross-sectional study was conducted with 374 adolescents (aged 13–18 years) diagnosed with type 1 diabetes (T1D), all of whom completed the Serbian version of the PAID-T. The psychometric evaluation included assessments of construct validity through exploratory (EFA, first subsample, n = 140) and confirmatory (CFA, second subsample, n = 234) factor analyses, as well as examinations of concurrent and convergent validity. Reliability was evaluated using measures of internal consistency and test–retest stability (n = 289). Results: Factor analyses indicated some multidimensionality; however, the high correlations between factors in the three-factor model and the optimal fit of the hierarchical three-factor model with a single second-order factor supported the interpretation that the PAID-T measures a unified construct, with satisfactory fit indices (CFI = 0.95; TLI = 0.93; RMSEA = 0.08; SRMR = 0.05). Concurrent validity testing demonstrated gender-based differences in adolescents’ perceptions of the emotional burden of diabetes (W = 19.718, p = 0.03, small effect size = 0.11). Convergent validity analyses showed that adolescents who were non-adherent to treatment (W = 11.390, p = 0.01, small effect size = 0.13) or experienced difficulties managing diabetes at school (W = 16.333, p < 0.001, small effect size = 0.16) reported significantly higher levels of diabetes-specific distress. A significant negative correlation was also observed between PAID-T scores and perceived social support (ρ = −0.24, p < 0.001). Importantly, Serbian adolescents with T1D reported mean PAID-T scores close to the cutoff point of 44, indicating clinically relevant levels of distress. The Serbian version demonstrated strong internal consistency (Cronbach’s α = 0.92; McDonald’s ω = 0.93) and excellent test–retest reliability (ICC = 0.99, 95% CI), confirming stability over time. Conclusions: The Serbian adaptation of the PAID-T demonstrated strong validity and reliability, supporting its use as a robust tool for assessing self-reported diabetes-specific distress in adolescents. Notably, the mean PAID-T scores in Serbian adolescents with T1D were close to the established cutoff point of 44, underscoring the clinical relevance of routine screening in this population. The early identification of diabetes distress can enable nurses and other members of the multidisciplinary healthcare team to deliver tailored interventions, ultimately improving psychological well-being and health outcomes. Full article