Search Results (23,486)

Objectives: We investigated the association between children’s waking time and bedtime and contents of home meals, focusing on ‘skipping breakfast’ and ‘meal of staple food, main dish, and side dish’ (SMS meal). Methods: A cross-sectional survey concerning children’s lifestyle habits and dietary habits was conducted at seven primary schools within Saga Prefecture in northern Kyushu, Japan, with 2457 parents/guardians participating. Logistic regression analyses were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of sleep hours, wake-up time, and bedtime, with breakfast skipping and having SMS meals. Results: Elementary schoolchildren sleeping for ≥9 hours were more likely to have par-ents/guardians in their 30s, who were full-time parents and maintained a healthy diet. Wake-up times and bedtimes were significantly associated with breakfast skipping frequency. Compared to the wake-up time from 6:30 to 6:59, ORs for the frequency of skipping breakfast was 0.52 (95% CI: 0.36–0.74, p < 0.001), for those waking before 6:29 and 2.23 (95% CI: 1.64–3.04; p < 0.001) for those waking after 7:00.Frequency of skipping breakfast decreased with earlier bedtimes. Compared to bedtimes from 21:00 to 21:59, ORs for having SMS meals were 0.64 for those with bedtimes before 21:00 (95% CI: 0.25–1.64) and 2.35 for those with bedtimes after 22:00 (95% CI: 1.77–3.11, p < 0.001). Compared to wake-up times from 6:30 to 6:59, waking up both before 6:29 (OR = 0.77, 95% CI: 0.63–0.94, p < 0.01) and at 7:00 or after (OR = 1.30, 95% CI: 1.00–1.69, p = 0.05) was associated with breakfast and dinner with SMS meals. A statistical interaction existed between wake-up time/bedtime and breakfast skipping. Compared to those waking before 6:30 and sleeping before 22:00, waking after 7:00 and sleeping after 22:00 was associated with skipping breakfast (OR = 2.11, 95% CI: 1.48–3.01; p for interaction = 0.04). Thus, children should sleep before 22:00 and wake up before 7:00 to prevent breakfast skipping and ensure a well-balanced diet with SMS meals. The ‘Early to Bed, Early to Rise, and Don’t Forget Your Breakfast’ initiative significantly improved elementary schoolchildren’s eating habits. Conclusions: Sleep hours, bedtime, and wake-up times are important factors affecting Japanese schoolchildren’s dietary habits, specifically in terms of breakfast skipping and having SMS meals. Full article

Background: Human monkeypox is a zoonotic disease caused by the monkeypox virus (MPXV), endemic in Central and West Africa. A significant 2022 outbreak affected 104 countries, driven by increased susceptibility due to the cessation of smallpox vaccination, global travel, and interactions with infected animals. Strengthening surveillance, public health measures, and raising awareness are essential for early diagnosis, vaccination acceptance, and preventing future outbreaks. Methods: The survey was distributed to 645 nursing students of the University of Palermo between July 2022 and August 2022, and we estimated the knowledge, attitudes and behaviors through a KAP Survey. Descriptive statistics were used to summarize the data, while chi-squared, Fisher’s exact, and Student’s t-tests were employed to analyze differences between groups, with statistical significance set at p < 0.05. At least 80% of the students surveyed had already taken the microbiology exam, as microbiology is studied in the first year of the Bachelor of Science in Nursing program at the University of Palermo. Results: The survey showed a predominantly young, female nursing student population with limited knowledge of monkeypox, as only 3.88% demonstrated adequate understanding. Despite this, attitudes toward prevention were positive, with 82.64% scoring adequately and 41.09% expressing strong willingness to get vaccinated. Knowledge improved with academic progression (p = 0.005), while attitudes and behaviors remained consistent. These findings imply a critical gap in education; the limited knowledge, especially regarding transmission and severity, may lead to an underestimation of the risks associated with global infectious diseases. This underscores the need to better prepare future healthcare professionals for public health emergencies Conclusions: The study found that nursing students had limited knowledge of monkeypox, especially regarding epidemiology and disease severity. Despite positive attitudes toward vaccination, some behaviors reflected an underestimation of global infection risks. Knowledge improved with academic progression, underscoring the importance of education. Targeted educational programs are needed to enhance awareness and preparedness for future outbreaks. Full article

Accurate landslide mapping near critical infrastructure requires not only data on landslide characteristics but also clear definitions of the spatial extent of surveyed areas. While national projects like Italian Landslide Inventory (IFFI) and Italian Guidelines for the classification and management of risk, safety assessment and monitoring of existing bridges (LLG 2022) provide a list of data to collect during a field visit survey, they lack clear specifications for buffer zones, limiting data comparability and risk assessment reliability. This study refines a hierarchical framework developed by the FABRE Geo Working Group, in alignment with LLG 2022, introducing five key zones—Landslide Inventory Reference Area, Diagnostic Area, Geomorphological Significant Area, Relevant Area and the Approach Zone, plus a newly defined Geomorphological Significant Area—Close Zone. By explicitly quantifying buffer zones and their hierarchical roles, the framework ensures consistent data collection across varied terrains and reduces ambiguity in landslide risk evaluation. Applied to 95 bridges in Tuscany and Basilicata, the framework offers standardized definitions and dimensions for Diagnostic Area, Geomorphological Significant Area and Relevant Area, based on detailed field surveys. Approach Zone and Geomorphological Significant Area—Close Zone are quantified as percentages of Relevant Area and Geomorphological Significant Area, supporting efficient, reproducible inspections using both manual and UAV-assisted methods. The Geomorphological Significant Area—Close Zone distinguishes core data, which requires direct surveys, from supplementary data that can be analyzed remotely or in the office. This distinction ensures that essential hazards are observed directly, while supplementary insights are efficiently integrated, enhancing field reliability and desk-based analysis. This integrated approach enhances the accuracy of landslide susceptibility assessment and the classification of attention levels, supporting the maintenance of the national IFFI. Ultimately, the comparison of IFFI catalog data, available in the Diagnostic Area, Geomorphological Significant Area, and Relevant Area, revealed previously unrecorded landslides in Matera and confirmed the reliability of the catalog in Lucca, highlighting that inventories can be systematically integrated only by using standardized areas with field verification to improve risk and infrastructure management. The structured framework bridges gaps between national inventory standards and localized survey needs, ensuring that both previously recorded and new landslide events are systematically captured. Full article

Amid rapid digital transformation and shifting consumption models, the tailoring industry faces a dual challenge: preserving its artisanal essence while adapting to the expectations of an increasingly digital-oriented clientele. This study introduces a methodological framework for designing buyer personas suited to the contemporary artisanal tailoring ecosystem, offering a structured approach to understanding modern consumer behavior within hybrid physical–digital environments. Using a mixed-methods design and Sastrería Jorge Ospina (Caicedonia, Colombia) as a case study, 378 online surveys—117 from current clients and 261 from potential clients—were analyzed using descriptive and inferential statistical techniques (Pearson’s χ², p < 0.05). Managerial priorities were concurrently assessed using a multi-criteria decision-making model (TOPSIS) with entropy-based weighting. The analysis identified two consumer archetypes: (1) the Classic Segment—mature clients motivated by tradition, loyalty, and reliability, who value tangible elegance and experiential craftsmanship; and (2) the Digital Segment—young consumers driven by aesthetic trends, convenience, and immediacy, who prioritize online interaction and personalized digital consumption. TOPSIS results highlighted older men (Cᵢ = 1.000) and young women (Cᵢ = 0.870) as the most strategically valuable customer groups. These findings redefine the post-digital tailoring consumer as a hybrid entity guided by artisanal value, hyper-personalization, and digital engagement. Full article

Volume electron microscopy (Volume-EM) has transformed structural cell biology by enabling nanometre-resolution imaging across cellular and tissue scales. Serial-section TEM, Serial Block-Face Scanning Electron Microscopy (SBF-SEM), Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) and multi-beam SEM now routinely generate terabyte-scale volumes that capture organelles, synapses and neural circuits in three dimensions, while cryogenic Volume-EM extends this landscape by preserving vitrified, fully hydrated specimens in a near-native state. Together, these room-temperature and cryogenic modalities define a continuum of approaches that trade off volume, resolution, throughput and structural fidelity, and increasingly interface with correlative light microscopy and cryo-electron tomography. In parallel, advances in computation have turned Volume-EM into a data-intensive discipline. Multistage preprocessing pipelines for alignment, denoising, stitching and intensity normalisation feed into automated segmentation frameworks that combine convolutional neural networks, affinity-based supervoxel agglomeration, flood-filling networks and, more recently, diffusion-based generative restoration. Weakly supervised and self-supervised learning, multi-task objectives and human–AI co-training mitigate the scarcity of dense ground truth, while distributed storage and streaming inference architectures support segmentation and proofreading at the terascale and beyond. Open resources such as COSEM, MICRONS, OpenOrganelle and EMPIAR provide benchmark datasets, interoperable file formats and reference workflows that anchor method development and cross-laboratory comparison. In this review, we first outline the physical principles and imaging modes of conventional and cryogenic Volume-EM, then describe current best practices in data acquisition and preprocessing, and finally survey the emerging ecosystem of AI-driven segmentation and analysis. We highlight how cryo–Volume-EM expands the field towards native-state structural biology, and how multimodal integration with light microscopy, cryo-electron tomography (cryo-ET) and spatial omics is pushing Volume-EM from descriptive imaging towards predictive, mechanistic, cross-scale models of cell physiology, disease ultrastructure and neural circuit function. Full article

Background/Objectives: Infectious disease outbreaks are recurring global crises that particularly impact older adults, who are vulnerable both biologically and psychosocially. Older adults living in the community, often depending on informal support rather than institutional care, may be especially at risk during extended outbreaks. This study examined psychosocial predictors of anxiety and depression with a focus on the novel integration of multidimensional infectious-disease-related stress and differentiated functional pathways of social support. Methods: A cross-sectional survey involved 178 community-dwelling adults aged 65 and older in South Korea. Validated tools measured anxiety (K-GAI), depression (K-GDS-SF), infectious disease-related stress (fear of infection, anger toward others, and social distancing difficulties), social support (emotional, informational, material, and appraisal), and chronic illness status. Data analysis included correlation analyses and stepwise multiple regression. Results: Difficulties adhering to social distancing were the strongest stress-related predictor of both anxiety and depression, while emotional support emerged as the most powerful protective factor against both outcomes. Material support uniquely mitigated depressive symptoms, and older adults with chronic illness showed heightened vulnerability to depression. Conclusions: Infectious-disease-related stress is multidimensional, extending beyond fear of infection to include social-participation disruption and relational strain. Findings highlight that different types of social support exert distinct protective effects through function-specific mechanisms, reinforcing the importance of targeted intervention design. Practical implications include strengthening emotional-support infrastructure, implementing hybrid digital–offline outreach models, and prioritizing resource allocation for medically vulnerable older adults as part of preparedness planning for future prolonged public-health emergencies. Full article

Citizen science approaches for monitoring, and even restoring, coral reefs have grown in popularity though tend to be restricted to those who have taken courses that expose them to the relevant methodologies. Now that cheap (~10 USD), waterproof pouches for smart phones are widely available, there is the potential for mass acquisition of coral reef images by non-scientists. Furthermore, with the emergence of better machine-learning-based image classification approaches, high-quality data can be extracted from low-resolution images (provided that key benthic organisms, namely corals, other invertebrates, & algae, can be distinguished). To determine whether informally captured images could yield comparable ecological data to point-intercept + photo-quadrat surveys conducted by highly proficient research divers, we trained an artificial intelligence (AI), CoralNet, with images taken before and during a bleaching event in 2015 in Chagos (Indian Ocean). The overall percent coral covers of the formal, “gold standard” method and the informal, “tourist diver” approach of 38.7 and 35.1%, respectively, were within ~10% of one another; coral bleaching percentages of 30.5 and 31.8%, respectively, were statistically comparable. Although the AI was prone to classifying bleached corals as healthy in ~one-third of cases, the fact that these data could be collected by someone with no knowledge of coral reef ecology might justify this approach in areas where divers or snorkelers have access to waterproof cameras and are keen to document coral reef condition. Full article

Background/Objectives: Workplace violence (WV) against healthcare workers (HCWs) is a major hazard all over the world. Prevention requires a reliable risk assessment. The rate of HCWs reporting a violent event varies considerably across multi-year retrospective studies compared to periodic surveys. We conducted a rapid observational study to demonstrate that data collection methods are more important than socio-cultural and healthcare organizational differences in determining the frequency of reported violence. Methods: In June 2025, in a cross-sectional observational comparison, we examined a total of 236 nurses divided into three groups: the first two were recruited online from Brescia (Italy) and Trollhättan (Sweden), while the third group was composed of Latium (Italy) nurses participating in a sleep health promotion program who answered the same questions on WV online. All the workers reported the frequency of violent incidents experienced in the previous 12 months using the Violent Incident Form (VIF), occupational stress using the Effort/Reward Imbalance questionnaire (ERI), and work ability via the Work Ability Score (WAS). Results: In the three samples, WV was correlated positively with stress and inversely with work ability (p < 0.01), while no significant difference was found between Italian and Swedish nurses in relation to the spot surveys. The nurses questioned directly about WV were significantly younger and reported significantly higher rates of physical aggression (28% vs. 5%, p < 0.001) and all forms of violence (73% vs. 20%, p < 0.001) than those questioned indirectly during the census of all the HCWs. In a multivariate linear regression model, the WV experienced and poor work ability were highly significant predictors of work-related stress (p < 0.001). Nurses who had experienced WV in the previous year had an increased odds ratio (OR = 8.94; Confidence Interval 95% = 4.43; 18.01) of reporting a state of distress. Conclusions: Experience has shown that specific questioning about violence—the commonest method used—encourages respondents to report violent events and may induce overreporting. This method also tends to involve younger workers who are more exposed to WV. On the other hand, prospective studies based on official reports may be influenced by underreporting. Monitoring WV during health promotion interventions included in occupational health surveillance could minimize both phenomena. Systematic studies and meta-analyses which rely mainly on “ad hoc” studies may be biased. Full article

This study presents the digitization and integration of Kazakhstan’s legacy gravimetric maps at a scale of 1:200,000 into a modern geospatial database using ArcGIS. The primary objective was to convert analog gravity data into a structured, queryable, and spatially analyzable digital format to support contemporary geoscientific applications, including geoid modeling and regional geophysical analysis. The project addresses critical gaps in national gravity coverage, particularly in underrepresented regions such as the Caspian Sea basin and the northeastern frontier, thereby enhancing the accessibility and utility of gravity data for multidisciplinary research. The methodology involved a systematic workflow: assessment and selection of gravimetric maps, raster image enhancement, georeferencing, and digitization of observation points and anomaly values. Elevation data and terrain corrections were incorporated where available, and metadata fields were populated with information on the methods and accuracy of elevation determination. Gravity anomalies were recalculated, including Bouguer anomalies (with densities of 2.67 g/cm³ and 2.30 g/cm³), normal gravity, and free-air anomalies. A unified ArcGIS geodatabase was developed, containing spatial and attribute data for all digitized surveys. The final deliverables include a 1:1,000,000-scale gravimetric map of free-air gravity anomalies for the entire territory of Kazakhstan, a comprehensive technical report, and supporting cartographic products. The project adhered to national and international geophysical mapping standards and utilized validated interpolation and error estimation techniques to ensure data quality. The validation process by the modern gravimetric surveys also confirmed the validity and reliability of the digitized historical data. This digitization effort significantly modernizes Kazakhstan’s gravimetric infrastructure, providing a robust foundation for geoid modeling, tectonic studies, and resource exploration. Full article

In the rapid development of rural tourism, multiple disturbances, such as capital reorganization, uneven resource distribution, and the marginalization of farmers as the main body, have emerged. This has led to the dual challenges of increased vulnerability and insufficient resilience of farmers’ livelihood systems in the face of risk shocks. Based on survey data of the “Agri-Tourism–Commerce–Culture Integration” demonstration zone in China, this study integrates the Pressure–State–Response model into the analysis of livelihood resilience and constructs a “vulnerability–adaptability–recuperability” tri-dimensional framework. Through methods such as the entropy weight method, the synthetical index method, grey relational degree analysis, and the obstacle degree model, this study measures the levels of different livelihood types of farmers in each dimension of livelihood resilience and their influencing factors. The research findings indicate that the overall livelihood resilience of farmers in the study area was at a medium level, with vulnerability making the most significant contribution, reflecting that the current livelihood system is dominated by risk resistance. Different types of farmers exhibit heterogeneity in resilience, with tourism-oriented farmers showing the highest resilience and agriculture-oriented farmers the lowest. However, tourism-oriented farmers also display the most prominent vulnerability, revealing the tension between short-term efficiency enhancement and long-term risk diversification in single livelihood strategies. Key factor analysis reveals that vulnerability correlates most strongly with livelihood resilience. The most correlated indicators are the price increase rate, proportion of migrant workers, and neighborhood trust in the vulnerability, adaptability, and recuperability dimensions. Diagnosis of obstacle factors reveal that loan accessibility, land resource dependency, and agricultural risk perception rank as the top three common obstacles, with tourism-driven farmers exhibiting higher obstacle degrees than other farmer categories. These findings not only validate the empowering effect of rural tourism on farmers’ livelihoods but also reveal the different livelihood strategies chosen by various farmers. Based on the results, this study proposes policy recommendations of “common optimization + individual adaptation” to enhance farmers’ livelihood resilience. This is conducive to transforming external support into farmers’ endogenous resilience capabilities and provides a useful reference for achieving the deep integration of rural tourism and farmers’ livelihood systems. Full article

Background/Objectives: Ageism is a pervasive form of prejudice that undermines health, social participation, and intergenerational solidarity, yet validated research tools for measuring ageism are lacking in many countries. The Fraboni Scale of Ageism (FSA) is one of the widely used instruments, but its psychometric properties have not previously been examined in the Czech context. This study aimed to translate the 29-item FSA, evaluate its reliability and validity, and describe ageism across generations. Methods: A quantitative cross-sectional survey based on face-to-face interviews was conducted in March 2024 among the Czech population aged 15–74 years (n = 1096). Data analysis included descriptive statistics, internal consistency indices (Cronbach’s α, McDonald’s ω, Composite Reliability, Average Variance Extracted), exploratory factor analysis (EFA) on a random half-sample, and confirmatory factor analysis (CFA) on the second half. Construct validity was also examined. Results: The Czech FSA showed very good distributional characteristics with no floor or ceiling effects and excellent internal consistency (α = 0.949; subscales α = 0.848–0.898). EFA replicated the original three-factor structure (Antilocution, Avoidance, and Discrimination) explaining 57.6% of variance. CFA supported this structure with good-to-excellent model fit. FSA scores increased systematically from Baby Boomers to Generation Z, indicating higher ageism among younger cohorts. Higher fear of old age, lower education, an earlier subjective boundary of old age, and absence of an older co-resident were associated with higher ageism scores. Conclusions: The Czech version of the FSA is a reliable and valid instrument for assessing ageist attitudes in the Czech population. Its robust psychometric properties and sensitivity to theoretically relevant correlates support its use for monitoring ageism, evaluating interventions, and enabling cross-national comparisons in aging research and policy. Full article

Opioid overdoses in the United States remain a significant public health concern. Opioid use disorder (OUD) is stigmatized, exacerbating negative health outcomes. Reducing stigma in healthcare, including in pharmacies, is critical. The “Let’s Talk Stigma” program was collaboratively developed with two schools of pharmacy, a local health department, and individuals with lived drug use experience. It aimed to reduce OUD-related stigma among pharmacists, pharmacy technicians, student pharmacists, and other allied health professionals. The program included six core components: a podcast, continuing education, a standardized curriculum for student pharmacists, training for pharmacy technicians and medical assistants, pharmacy outreach by student pharmacists, and partnerships with chain pharmacies. The anti-stigma podcast reached a global audience with nearly 22,000 listens, while local sessions engaged over 5000 individuals. These initiatives were integrated into Doctor of Pharmacy curricula, with student pharmacists distributing stigma-reduction kits in local pharmacies. A mixed-methods approach, incorporating qualitative data from participant reflections and quantitative data from surveys, podcast analytics, and attendance records, was used for program evaluation. Participants reported increased awareness of stigma, improved attitudes, and greater professional responsibility to reduce stigma. The program successfully leveraged partnerships, flexible delivery methods, and inclusion of people with lived drug use experience in its design. Full article

This study critically examines the technological feasibility, regulatory challenges, and societal acceptance of Pilotless Passenger Aircraft (PPAs) in commercial aviation. A mixed-methods design integrated quantitative passenger surveys (n = 312) and qualitative pilot interviews (n = 15), analyzed using SPSS and NVivo to capture both statistical and thematic perspectives. Results show moderate public awareness (58%) but limited willingness to fly (23%), driven by safety (72%), cybersecurity (64%), and human judgement (60%) concerns. Among pilots, 93% agreed automation improves safety, yet 80% opposed removing human pilots entirely, underscoring reliance on human adaptability in emergencies. Both groups identified regulatory assurance, demonstrable reliability, and human oversight as prerequisites for acceptance. Technologically, this paper synthesizes advances in AI-driven flight management, multi-sensor navigation, and high-integrity control systems, including Airbus’s ATTOL and NASA’s ICAROUS, demonstrating that pilotless flight is technically viable but has yet to achieve the airline-grade reliability target of 10⁻⁹ failures per flight hour. Regulatory analysis of FAA, EASA, and ICAO frameworks reveals maturing but fragmented approaches to certifying learning-enabled systems. Ethical and economic evaluations indicate unresolved accountability, job displacement, and liability issues, with potential 10–15% operational cost savings offset by certification, cybersecurity, and infrastructure expenditures. Integrated findings confirm that PPAs represent a socio-technical challenge rather than a purely engineering problem. This study recommends a phased implementation roadmap: (1) initial deployment in cargo and low-risk missions to accumulate safety data; (2) hybrid human–AI flight models combining automation with continuous human supervision; and (3) harmonized international certification standards enabling eventual passenger operations. Policy implications emphasize explainable-AI integration, workforce reskilling, and transparent public engagement to bridge the trust gap. This study concludes that pilotless aviation will not eliminate the human element but redefine it, achieving autonomy through partnership between human judgement and machine precision to sustain aviation’s uncompromising safety culture. Full article

Background: The impact of the COVID-19 pandemic on temporal trends in peer violence and bullying deserves closer scrutiny. The aim of the present study was to examine temporal trends in peer violence and bullying among school-aged children before and after the COVID-19 pandemic. Methods: Data from the Health Behaviour in School-aged Children (HBSC) surveys (2013/2014–2021/2022) were analyzed to track changes in peer violence and bullying over time. The sample encompassed over 700,000 students aged 11, 13, and 15 from more than 40 countries across Asia, Europe, and North America. Results: Traditional (school) bullying perpetration and victimization did not change significantly over time. A significant decreasing trend in engagement in physical fighting between the 2013/2014 and 2021/2022 surveys was observed among male participants aged 15. In contrast, a significant increasing trend in engagement in physical fighting was observed among female participants aged 11 and 13 years. Following the pandemic, increases in cyberbullying perpetration and victimization were observed among students aged 11 and 13, a trend not evident among 15-year-olds. Conclusion: Except for cyberbullying, the pandemic did not appear to influence trends in peer violence and bullying, which remained largely stable or reflected trajectories that had begun prior to the pandemic. Full article

Agricultural producers experience elevated stress, limited mental health access, and cultural norms that can discourage help-seeking. This study examined farmers’ preferences for receiving mental health information and the barriers that impede care. Data came from a regional needs assessment of 1024 producers across 12 Midwestern states who completed online or paper surveys, including questions on willingness to seek or receive information and the 30-item Barriers to Access to Care Evaluation. Analyses included descriptive, bivariate, and multivariate methods to explore demographic and behavioral predictors. Results indicated that while 74.1% were open to receiving mental health information, notable proportions were unwilling to seek (27.8%) or receive (28.4%) it, and 18.7% were unwilling to do either. Preferred sources were medical providers, mental health professionals, and family members, with agricultural retailers least favored. Women, younger producers, veterans, those with mental health symptoms, and individuals with higher education, anxiety, or depression showed distinct patterns of openness and barrier endorsement. Attitudinal barriers were the most common across groups. Findings highlight the importance of culturally relevant approaches that leverage trusted messengers, reduce stigma, and tailor interventions to specific subgroups to strengthen mental health outreach in agricultural communities. Full article