Search Results (1,654)

Objectives: To examine disordered eating behaviors, orthorexic tendencies, binge-eating episodes, attitudes toward exercise, perceived hormone-related symptoms and body image perception among competitive bodybuilders across different levels of competitive experience. Methods: In this cross-sectional study, 60 competitive bodybuilders (29 men, 31 women) completed an anonymous online questionnaire. The survey evaluated demographic characteristics, coaching and training management, phase-specific symptoms (such as libido, sleep, eating behaviors, and menstrual alterations), orthorexic tendencies, exercise addiction, and body-image perception. Results: Both sexes reported reduced libido, increased hunger, and sleep disturbances, along with frequent weight monitoring and common binge-eating episodes. Moreover, females frequently reported menstrual irregularities. ORTO-15 scores indicated a potential risk of orthorexia nervosa, while EAI-3 scores suggested a risk of exercise addiction in novice females and advanced males, with differences in mood regulation and guilt across sex and experience. Males showed higher perceived and ideal muscle mass, whereas females reported higher perceived body fat and a preference for leaner physiques. Conclusions: Competitive bodybuilders of both sexes exhibit post-competition binge eating, mood- and appearance-driven exercise behaviors, and pronounced body-image concerns. Screening, education on energy availability, structured post-competition support, and health-focused coaching are recommended to prevent the progression from sport-specific practices to clinical pathology. Full article

Professionals working in family and social services are frequently exposed to emotionally demanding interpersonal experiences, which may influence both their occupational well-being and their perceptions of close relationships. This study was conducted to examine the mediating role of compassion fatigue in the relationship between emotional intelligence and marital anxiety among unmarried mental health professionals in Türkiye. The sample consisted of 311 unmarried mental health workers, including psychologists, social workers, and psychological counselors employed in provincial directorates of the Ministry of Family and Social Services. Data were collected using the Trait Emotional Intelligence Questionnaire—Short Form (TEQue-SF), the Compassion Fatigue—Short Scale, and the Marital Anxiety Scale. Mediation analysis was conducted using PROCESS Macro Model 4. The findings revealed that emotional intelligence negatively predicted compassion fatigue. Emotional intelligence also negatively predicted marital anxiety, while compassion fatigue did not directly predict marital anxiety. Mediation analysis revealed that compassion fatigue played a significant moderate mediating role in the relationship between emotional intelligence and marital anxiety. These findings suggest that occupational emotional experiences may be indirectly associated with relationship-related concerns among unmarried mental health professionals. The results highlight the importance of considering both emotional intelligence and compassion fatigue in understanding marital anxiety and supporting the development of training, supervision, and psychoeducational interventions aimed at strengthening emotional regulation and professional well-being. Future research including both unmarried and married professionals, as well as longitudinal and mixed-method designs incorporating qualitative interviews, may further clarify these relationships and the mechanisms underlying them. Full article

Seasonal workers in the tourism sector are exposed to significant psychosocial risks, such as work overload, emotional exhaustion, and precarious employment conditions. Despite growing interest in positive organizational psychology, little is known about how organizational culture impacts perceptions and experiences of seasonal workers in Italy. This study explores the role of positive organizational culture in promoting well-being among seasonal workers in the tourism sector, examining their direct perspectives on organizational climate, work challenges, and individual and organizational resources. Eight semi-structured interviews were conducted with seasonal workers employed in the hospitality industry in Italy. Data were analyzed through an integrated mixed-method approach combining Grounded Theory methodology with quantitative lexical analysis using T-LAB software, ensuring both analytical rigor and interpretive depth. Five macro-categories emerged inductively from the data: trust and relations, coping strategies and emotions, perceived justice, teamwork, and meaning of work. These were integrated into a core category defined as flourishing at work, interpreted through the lens of Seligman’s PERMA model. These findings suggest that well-being in seasonal work is an active and relational achievement, sustained by emotional self-regulation, perceived fairness, and collective identity. The results carry direct implications for organizational policies and psychosocial risk prevention strategies in precarious work contexts. In particular, positive organizational culture and environments can act as protective factors against psychosocial risks, with direct implications for organizational policies, psychosocial risk prevention, and evidence-based workplace interventions. The specificity of the analysis method offers an original contribution by integrating qualitative and quantitative textual analysis to investigate psychosocial well-being in an under-explored population: Italian seasonal workers. Full article

The study examines discrepancies between personally reported and declared use of generative artificial intelligence (GenAI) among university students from a public university located in the Peruvian Andes, operationalized as the AI Use Gap, an exploratory discrepancy indicator based on two self-reported measures. Drawing on a sequential explanatory mixed-methods design, the study combines survey data (N = 150), experimental vignette evaluations, and qualitative follow-up interviews to explore how students manage the visibility and disclosure of AI use in academic contexts. Findings indicate relatively high levels of AI use alongside a consistent discrepancy between personally reported and declared use, suggesting patterns of differential reporting across contexts. Quantitative analyses did not show clearly differentiated exploratory relational patterns between the AI Use Gap and the psychosocial/contextual indicators examined, including perceived stigma, concealment, normative ambiguity, and peer pressure. Given the exploratory nature and limited internal consistency of the contextual indicators, these findings were interpreted cautiously as provisional exploratory patterns rather than as evidence of stable psychosocial relationships. Qualitative findings suggest that AI disclosure practices are shaped by socially evaluative and context-dependent processes, including fear of judgment, uncertainty regarding acceptable AI use, and selective disclosure strategies. Participants frequently described AI use as widespread but not consistently disclosed across academic settings. Overall, the findings suggest that discrepancies between AI use and disclosure may be better understood as forms of visibility management shaped by institutional ambiguity and social expectations rather than by stable individual-level characteristics alone. Rather than validating stable psychosocial mechanisms, the study explores an emerging and context-sensitive phenomenon using provisional contextual indicators intended to capture heterogeneous patterns of perception and disclosure. The study contributes to ongoing discussions regarding transparency, academic integrity, and the social regulation of AI use in higher education, particularly in under-researched Global South contexts. Full article

Agricultural water governance faces persistent challenges, including fragmented responsibilities, insufficient motivation, and weak long-term maintenance. Environmental regulation (ER) is regarded as an important policy instrument for addressing market failures and the limitations of spontaneous village-level governance, yet whether ER improves agricultural water governance effectiveness (AWGE) remains insufficiently examined. Based on survey data from 1304 farmers in seven provinces of China, this study employs ordinary least squares regression to investigate the relationship between ER and village-level AWGE, both measured using farmers’ perceptions collected through questionnaire surveys. The results show that ER and its sub-dimensions are positively associated with AWGE. Mechanism analysis reveals that policy implementation capacity (PIC) and farmer participation (FP) mediate the relationship between ER and AWGE. Heterogeneity analysis indicates that this positive association is more pronounced in central China and in areas where the village-level River Chief System was established earlier. These findings provide empirical evidence for constructing a compound ER mechanism integrating guidance, incentives, and constraints, strengthening the dual pathway of grassroots implementation and FP, and adopting differentiated governance strategies according to regional resource endowments and institutional development stages. Full article

South Korea is a highly import-dependent food economy and therefore offers a useful case for examining how an integrated national food control system can be built under trade openness, limited domestic agricultural capacity and changing consumer risk perceptions. This article presents a structured narrative review, rather than a causal impact evaluation, of South Korea’s transition from multi-agency food safety regulation toward an integrated, risk-based food control system. The review is organized through the FAO/WHO national food control system framework and maps Korean legal, institutional and operational evidence onto six analytical dimensions: legal foundations, institutional coordination, risk-based official controls, import supervision, traceability and recall, and risk communication. Examples of embedded risk-analysis principles include the Positive List System for pesticide residues with a default limit of 0.01 mg/kg for substances without a Korean MRL, inspection orders and risk-ranked import controls, barcode-linked recall blocking through the Hazardous Food Sales Prevention System, and public disclosure of unsafe directly purchased overseas products. Quantitative evidence is used descriptively: Korea’s agricultural and food imports reached USD 45.3 billion in 2024, hepatitis A notifications fell from 17,598 in 2019 to 3989 in 2020 after the salted-clam outbreak, and MFDS reported that 12 of 544 overseas direct-purchase products tested in the first half of 2020 contained restricted substances. These indicators suggest improvements in coordination and crisis response capacity, but they do not prove that institutional integration alone reduced foodborne disease incidence. The review finds that South Korea’s model is strongest in institutional consolidation, import-oriented technical standards and digital recall communication, while key challenges remain in small-business compliance burden, scientific independence, data transparency, cross-border e-commerce and novel foods such as cell-cultured food ingredients. Full article

The melon fly, Zeugodacus cucurbitae (Coquillett), is a globally significant agricultural pest causing substantial economic losses. Odorant-binding proteins (OBPs) are critical of the insect olfactory system, yet their specific physiological functions in Z. cucurbitae remain largely uncharacterized. In this study, we functionally characterized ZcucOBP14 and investigated its putative involvement in host chemoreception and insecticide tolerance. Sequence alignment and phylogenetic analysis indicated that ZcucOBP14 belongs to the Minus-C OBP subfamily, and quantitative reverse transcription PCR (RT-qPCR) showed that it was predominantly expressed in both the head and abdomen. Fluorescence binding assays revealed that ZcucOBP14 exhibited broad binding affinity to 11 host plant volatiles, three sex pheromones, and two insecticides. Subsequent electroantennography (EAG) and behavioral bioassays identified isopulegol, 1-hexanol, linalool, and α-pinene as key ligands regulating the behavioral responses of Z. cucurbitae. RNA interference (RNAi)-mediated knockdown of ZcucOBP14 significantly reduced EAG responses to key ligands, eliminated behavioral preference, and increased insecticide-induced mortality by 20%. Molecular docking further identified that Tyr71, Ile67, Trp50, Val107, Phe116 and Leu70 were critical residues involved in ligand interactions. Collectively, these findings highlight the indispensable role of ZcucOBP14 in olfactory perception and its contribution to insecticide tolerance, laying a solid theoretical foundation for the development of novel behavior-modifying agents, attractants, and optimized integrated pest management (IPM) strategies against this pest. Full article

Commercial determinants of health (CDoHs) describe how corporate practices influence population health. This scoping review aimed to characterize the extant evidence base regarding how CDoH in the sugar-sweetened beverage (SSB) industry affects health and health-related outcomes among Latinx populations in the United States of America (USA). The present study was conducted in accordance with the JBI methodology for scoping reviews. Overall, 1236 references were identified and imported for screening. After duplicate removal, screening, and full-text eligibility assessment, 33 studies met all inclusion criteria. SSB marketing and advertising was the most frequently examined CDoH (61%), including advertising exposure, messaging strategies, and warning label interventions. SSB taxation studies projected reductions in consumption and obesity prevalence. Outcomes associated with health focused primarily on perceptions of marketing and purchasing intentions (94%). Additional studies examined the impact on knowledge, attitudes, beliefs, and behaviors (e.g., purchasing and consumption of SSBs) (66%), while a few studies included chronic disease (27%) or healthcare outcomes (6%). Evidence highlights several gaps in CDoH research associated with SSBs, with 94% of the included studies focused on understanding marketing exposure, signaling a need to examine other domains of CDoH, SSB industry practices, and impacts on health disparities. Findings suggest that structural policy interventions such as taxation and stronger regulation of commercial practices are necessary to address higher exposure to marketing and consumption of SSBs among Latinx populations in the USA. Full article

Introduction: Dietary habits adopted during young adulthood play a critical role in physical, emotional, and cognitive health. University students represent a particularly vulnerable group due to academic stress, lifestyle transitions, and increased autonomy, factors that may influence eating behaviors, body weight perception, and psychological well-being. This study aims to examine dietary habits among students and their associations with self-perceived body weight, lifestyle characteristics, and psychological factors within a biopsychosocial framework. Materials and Methods: A cross-sectional observational study was conducted using a structured, self-administered online questionnaire distributed to university students aged 18–30 years in Romania. The questionnaire assessed dietary habits, nutritional knowledge, lifestyle behaviors, and psychological variables, including perceived stress and body weight perception. Body mass index was calculated based on self-reported anthropometric data. Results: The findings indicated substantial variability in dietary behaviors, with a high prevalence of irregular meal patterns, frequent snacking, and engagement in weight-control practices. Irregular meal patterns were reported by approximately 62% of participants, while 47% had engaged in at least one weight-loss diet. Discrepancies between self-reported BMI and perceived body weight were observed in roughly 38% of cases, and 83% of respondents reported at least one psychological symptom (stress, anxiety, or low mood) related to eating behaviors. A positive correlation was observed between sleep duration and perceived rest quality (r = 0.364, p < 0.001). High frequencies of caffeinated beverage consumption were also observed. Additionally, 204 participants reported no alcohol consumption, while the variety of alcoholic beverages consumed was strongly correlated with alcohol intake frequency (r = 0.734, p < 0.001). Conclusions: Dietary habits among university students are closely interconnected with body weight perception, lifestyle behaviors, and psychological well-being. These findings emphasize the need for integrative health promotion strategies that address nutrition, emotional regulation, and lifestyle balance to support mental and cognitive health during young adulthood. Full article

Today, billions of bottles are aging in the cellars of traditional-method sparkling wine regions prior to their release on the market. Given the fundamental role of carbon dioxide (CO₂) in both the production and sensory perception of sparkling wines, it is essential to understand and control all stages that influence its pressure and concentration in the bottle throughout the winemaking process. This study addressed the central question of how long traditional-method sparkling wine bottles can age in cellars while maintaining sufficient CO₂ pressure. By considering their capacity to retain the minimum CO₂ pressure of 3.5 bar at 20 °C, as required by European regulations, a predictive formula for the shelf life of older vintages was proposed and discussed, integrating the multiple relevant parameters that govern CO₂ retention. Moreover, based on previously published datasets, a comparison was carried out between CO₂ losses measured for a range of modern crown caps and those observed in collections of older champagne vintages sealed with cork-lined crown caps. The results clearly show that modern crown caps preserve dissolved CO₂ far more effectively in traditional-method sparkling wines than the cork-lined closures commonly used during the last century, leading to substantially longer predicted shelf lives. Full article

This paper proposes a multi-sensor fusion autonomous navigation method integrating a nine-axis IMU, the Leishen C16 mechanical LiDAR, and the LakiBeam1L single-line LiDAR, aimed at addressing issues such as track slippage and positioning drift that commonly occur in tracked chassis operating under continuously changing conditions on hilly slopes and farmland. IMU-derived slope and attitude information is used as a terrain prior and incorporated into adaptive ground segmentation, slope-cross-slope path cost modeling, and velocity regulation. Leishen C16 LiDAR point clouds are used for NDT scan-to-map localization and spatial obstacle representation, while the LakiBeam1L LiDAR establishes a velocity-dependent near-field safety zone for dynamic obstacle triggering and local avoidance. Python simulations were conducted in simple, general, and complex environments under five slope conditions, forming 15 environment-slope combinations. Three representative scenarios were further validated in ROS/Gazebo. To strengthen statistical reliability, 10 repeated trials were performed for each environment-slope-algorithm combination, and additional stress tests included obstacle-position perturbation, sensor noise perturbation, initial-pose perturbation, dynamic obstacle speed perturbation, and variable slope/local undulation perturbation. An isolated no-LakiBeam1L ablation, significance tests, IMU perturbation tests, planning-weight sensitivity analysis, and stronger-baseline comparison were also added. In the repeated-trial dataset, the proposed method improved the arrival rate from 23.3% to 94.7%, reduced tracking RMSE by 61.46%, reduced localization RMSE by 60.62%, and increased obstacle recall by 26.32%. Under mixed perturbations, the arrival rate of the proposed method was 81.3%, compared with 29.3% for the baseline. These results indicate improved simulation-level stability and perception reliability, while the applicability to real hilly farmland still requires hardware and field validation. Full article

Thermal tactile perception plays a crucial role in enhancing realism and immersion in human–machine interaction, virtual/augmented reality, and wearable systems. By exploiting the thermoelectric effect to achieve precisely controllable heating and cooling, wearable thermoelectric devices (WTEDs) offer an effective approach for generating localized and programmable thermal sensations, which calls for a clear understanding of skin temperature regulation mechanisms. In this work, a dynamic thermal conduction model is developed for a skin–WTED integrated system incorporating a nickel foam-reinforced hydrogel heat sink, based on the dual-phase lag (DPL) bioheat conduction theory. The model accounts for blood perfusion and metabolic heat generation in skin tissue, as well as the Thomson effect within the thermoelectric legs and convective heat losses from their side surfaces. The theoretical predictions are validated through human skin temperature regulation experiments using a fabricated WTED, showing close agreement between experiments and simulations and confirming the model’s accuracy and reliability. Based on the validated model, the cooling current, filling factor, and thermoelectric leg height are optimized by minimizing the skin surface temperature. Furthermore, the model is applied to thermal tactile feedback studies, enabling the controlled reproduction of skin thermal sensations associated with common objects, including an iron block, a PMMA plate, and carbonated beverages packaged in aluminum cans and plastic bottles. Overall, this study provides a practical and predictive framework for understanding, optimizing, and applying WTEDs in thermal tactile feedback. Full article

Nursing students in their training process often suffer from anxiety due to stressful situations, and emotional intelligence can help them to manage these situations. The aim of this study is to analyse the associations between the dimensions of perceived emotional intelligence and anxiety in students undergoing their training cycles in different special services in order to check if there are differences between them. It is an observational, cross-sectional and correlational study with a sample of 85 nursing students who had not received training in emotional intelligence. Two measurement instruments were used: the Trait-State Anxiety Inventory (STAI) to assess anxiety and the Trait Meta-Mood Scale (TMMS-24) to measure EI. Data were analysed using Pearson’s coefficient when the distribution was normal, and Spearman’s coefficient in the non-normal distribution. The results showed in the group—ER-Emergency and Oncology—there was a significant negative relationship between state and trait anxiety and emotional understanding and regulation. In contrast, in the Primary Care setting there was also a positive relationship between emotional perception and trait anxiety. The study concludes that nursing students who understand and manage their emotions may have a lower risk of anxiety. Furthermore, if they identify emotions appropriately, the risk of suffering from anxiety in the long term may be lower. This finding was observed when the student did the internship in Primary Care. So there is a difference depending on the clinical context. Full article

This study examines how employees’ perceptions of transactional and relational psychological contracts influence emotional labor strategies in contemporary work contexts where AI technologies are increasingly present through AI anxiety, general attitudes toward AI, and generative AI acceptance. Based on Conservation of Resources Theory, Cognitive Appraisal Theory, the Theory of Planned Behavior and technology acceptance frameworks (UTAUT), a conceptual model was tested using survey data from 869 employees across various sectors in Türkiye. Mediation and moderated mediation analyses were conducted using the PROCESS macro for SPSS 30. The results showed that transactional psychological contracts were positively correlated with surface acting, while relational psychological contracts were associated with deep acting. Serial mediation analyses indicated that relational psychological contracts were indirectly associated with higher levels of deep acting, primarily through more positive evaluations of AI, with the full sequential pathway through anxiety reduction not operating as hypothesized. Generative AI acceptance mediated the relationship between negative attitudes toward AI and surface acting. Moreover, generative AI acceptance mediated the relationship between positive attitudes toward AI and deep acting, indicating a pathway through which favorable technology evaluations translate into authentic emotional regulation. Finally, moderated mediation analyses suggest that emotional intelligence strengthens the impact of generative AI acceptance on employees’ emotional labor strategies. Full article

Earthquakes pose a serious threat to urban areas located in seismically active regions, particularly in developing countries where rapid urbanization and weak enforcement of building regulations increase the vulnerability of the built environment. Pakistan is highly exposed to seismic hazards due to its tectonic setting, and many residential buildings are constructed without adequate seismic design considerations. Therefore, assessing building vulnerability and understanding community perception of earthquake risk are essential for effective disaster risk reduction. This study investigates the relationship between the structural vulnerability of residential buildings and earthquake risk perception among residents in Peshawar, Pakistan. Two contrasting urban settlements were selected as case studies: WAPDA Town, representing a planned residential area, and Hashtnagri, representing an older unplanned settlement. A total of 400 buildings were surveyed through field investigations. Seismic vulnerability was assessed using the Rapid Visual Screening (RVS) method based on structural characteristics such as building age, number of floors, construction materials, structural irregularities, construction quality, and presence of seismic reinforcement features. A Physical Vulnerability Index (PVI) was developed to categorize buildings into different vulnerability levels. In addition, a questionnaire survey was conducted to evaluate earthquake risk perception among residents, and a risk perception index (RPI) was calculated. The results indicate that buildings located in the unplanned settlement exhibit significantly higher seismic vulnerability compared to those in the planned residential area due to poor construction practices, irregular structural configurations, and the absence of seismic-resistant features. Statistical analysis further reveals a positive relationship between physical vulnerability and earthquake risk perception, suggesting that residents living in structurally vulnerable environments tend to perceive higher earthquake risk. The findings highlight the importance of integrating structural vulnerability assessment with community awareness and preparedness programs. Implementation of seismic design provisions and improved enforcement of construction regulations, such as those specified in the Building Code of Pakistan 2022, can significantly reduce earthquake risk in rapidly growing urban areas. However, the present study did not directly evaluate the level of enforcement or compliance with the Building Code of Pakistan 2022 in either WAPDA Town or Hashtnagri. Therefore, the policy recommendations are intended as general implications derived from the observed vulnerability patterns. Full article