Search Results (1,009)

Developing-country construction sectors continue to record disproportionately high occupational accident rates, partly attributable to the slow adoption of digital safety technologies, including Building Information Modeling (BIM) and Internet of Things (IoT) systems. While prior empirical research has established the population-level factors that explain stakeholder adoption intention through survey-based frameworks, the ability to classify individual stakeholder readiness for targeted, pre-deployment intervention remains methodologically unaddressed. This study fills that gap by applying three supervised machine learning classifiers (Random Forest [RF], XGBoost (XGB), and Support Vector Machine (SVM)) to a dataset of 107 construction professionals purposively sampled from large-scale infrastructure projects in Pakistan, including China−Pakistan Economic Corridor (CPEC) packages and the Barakahu Bypass project. Five construct-level features derived from an integrated Technology Acceptance Model and Technology−Organization−Environment (TAM-TOE) survey instrument were used to classify stakeholders into High, Moderate, and Low readiness tiers. XGBoost achieved the best classification performance (accuracy = 93%, macro F1 = 0.93), followed by RF (91%, F1 = 0.91) and SVM (87%, F1 = 0.87). The convergent performance across three structurally different algorithm families indicates that the readiness signal reflects a consistent attitudinal pattern rather than an artifact of any single modeling assumption. Feature importance analysis consistently identified Perceived Benefits (32%) and Technology Awareness (25%) as the dominant predictive features, followed by Organizational Readiness (20%), Perceived Barriers (15%), and Respondent Profile (8%). Attitudinal readiness mapping classified 62% of stakeholders as High readiness, 28% as Moderate, and 10% as Low, providing an exploratory attitudinal segmentation framework to assist construction managers in prioritizing capacity-building investments, subject to longitudinal behavioral validation. The study also finds that awareness of digital technology consistently outpaces Organizational Readiness for implementation, a pattern consistent with findings from analogous developing-country construction contexts. Full article

Background/Objectives: Vitamin D has been implicated in lipid metabolism, but data regarding its association with atherogenic lipoproteins in elite athletes remain limited. Elite athletes represent a unique research model to investigate these associations with reduced confounding from obesity, chronic disease, smoking, and physical inactivity. Methods: This cross-sectional study included 773 male professional athletes from mixed sports disciplines (mean age 25.5 ± 5.0 years). Serum 25-hydroxyvitamin D [25(OH)D] concentrations and lipid parameters, including total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, and lipoprotein(a) [Lp(a)], were assessed. Associations were analyzed using correlation analyses, subgroup comparisons according to predefined 25(OH)D categories (<30, 30–50, and >50 ng/mL), and multivariable linear regression models adjusted for age, body mass index, season, and training-related variables. Results: Higher serum 25(OH)D concentrations were independently associated with lower LDL-C (p = 0.028), triglyceride (p = 0.002), and Lp(a) concentrations (p = 0.036), whereas no independent association was observed with HDL-C (p = 0.559). Athletes with 25(OH)D concentrations ≥30 ng/mL demonstrated lower LDL-C, triglyceride, and Lp(a) levels compared with athletes below this threshold (all p < 0.05). Higher vitamin D status was additionally associated with greater peak exercise performance (4.29 ± 1.15 vs. 3.36 ± 0.68 W/kg; p < 0.001). Conclusions: Higher 25(OH)D concentrations were independently associated with a more favorable lipid profile in elite athletes, including lower LDL-C, triglyceride, and Lp(a) concentrations. Prospective studies are warranted to further investigate the relationship between vitamin D status and lipid metabolism in athletic populations. Full article

Professional soccer imposes substantial physiological demands eliciting complex neuroendocrine responses. This review synthesizes evidence on hormonal adaptations in professional soccer players, with emphasis on ethnic and national differences and underlying pathophysiological mechanisms. We analyzed 21 key studies investigating testosterone, cortisol, the testosterone-to-cortisol (T:C) ratio, growth hormone (GH), and insulin-like growth factor-1 (IGF-1) responses to training and competition. Acute cortisol elevations that may persist for up to 72 h post-match in some professional populations and T:C ratio reductions following congested fixture periods are reported across available studies, while somatotropic responses vary considerably across studies. Preliminary evidence suggests that ethnic and geographic background may influence circulating testosterone and urinary steroid excretion profiles, with UGT2B17 genetic polymorphisms identified as one contributing factor; however, the evidence base is limited and requires replication. Approximately 7.4% of elite junior cohorts—though not necessarily professional adult populations—develop non-functional overreaching (NFOR), characterized by blunted GH and ACTH responses. Pathophysiological mechanisms involve hypothalamic–pituitary––adrenal (HPA) and hypothalamic–pituitary–gonadal (HPG) axis dysregulation producing anabolic–catabolic imbalance. Individualized, longitudinal T:C monitoring and post-match load moderation may be warranted; future research should establish ethnicity-specific normative values and investigate links between hormonal dysregulation and injury risk. Full article

Background/Objectives: Occupation shapes time use, physical demands, stress, and access to health resources, yet it remains an understudied axis of inequality among working women in low- and middle-income countries. This study assessed occupational-group disparities in lifestyle behaviors and adiposity levels among Peruvian working women. Methods: We conducted a pooled repeated cross-sectional analysis of ten Peruvian DHS/ENDES rounds from 2014–2019 and 2021–2024 among working women aged 18–49 years. The exposure was standardized occupational group, using professional/technical/managerial workers as the reference. Outcomes included five lifestyle behaviors and four adiposity indicators. Crude models estimated descriptive prevalence ratios (PRs) or beta coefficients; secondary adjusted models included age group, survey year, education, wealth, residence, natural region, and marital status. Results: A total of 40,726 women were included. Agricultural workers showed lower crude prevalences of almost-daily television viewing (PR 0.49; 95% CI 0.47–0.52), current smoking (PR 0.14; 95% CI 0.10–0.19), current alcohol use (PR 0.39; 95% CI 0.36–0.42), and heavy alcohol use (PR 0.17; 95% CI 0.12–0.27); these contrasts attenuated but generally persisted after adjustment. Insufficient fruit and vegetable intake exceeded 87% in all groups. Sales, domestic/household, services, and skilled manual workers had higher adjusted obesity than the reference group, with adjusted PRs ranging from 1.22 to 1.35. Conclusions: Occupation identifies relevant heterogeneity in lifestyle behaviors and adiposity levels among Peruvian working women. Lifestyle and adiposity profiles did not follow a simple social gradient, supporting occupation-specific strategies for noncommunicable disease prevention. Full article

The recruitment headhunting process is time-intensive due to manual candidate searches across multiple job platforms, creating inefficiencies in identifying suitable candidates. Current AI-driven recruitment platforms frequently prioritize accuracy over explainability, limiting transparency for non-technical users such as recruiters. This study streamlines recruitment headhunting by (1) consolidating publicly available candidate data from multiple job portals using a professional data aggregation Application Programming Interface (API), and (2) implementing explainable machine learning for transparent candidate–job matching. We utilized the Coresignal API (v1) to aggregate and standardize candidate profiles (N = 587) sourced from LinkedIn and Indeed, including skills, experience, certifications, and education. Using Term Frequency–Inverse Document Frequency (TF-IDF) feature vectors and regression models (Ridge, Gradient Boosting, Random Forest), we matched and ranked candidates against a standardized Data Scientist job description. Shapash was incorporated to provide interpretable feature importance explanations accessible to non-technical users. Model performance was evaluated using stratified 5-fold cross-validation with statistical significance testing. Ridge Regression achieved superior performance (cross-validated R² = 0.935, bootstrap R² = 0.954, 95% confidence interval [0.939, 0.965], RMSE = 0.025) compared with Gradient Boosting (R² = 0.840) and Random Forest (R² = 0.733). Paired t-tests confirmed significant differences between all model pairs (all ps ≤ 0.001, Bonferroni corrected) with large effect sizes (Cohen’s d ≥ 1.992). Shapash analysis revealed that top-contributing features, such as “engineering”, “data science”, “machine learning”, and “python”, aligned precisely with job description requirements, validating the model’s feature-learning capability. This approach reduces repetitive manual searches across job portals while providing interpretable insights into candidate–job rankings. The methodology’s originality lies in combining professional data aggregation APIs that access publicly available profile data with interpretable models enhanced by user-friendly visualization tools, creating a practical, potentially transferable solution for transparent AI-driven recruitment. Full article

The integration of wearable inertial sensors into sports performance analysis has enabled the automatic quantification of complex movement patterns, particularly in highly specialized roles such as the goalkeeper. However, the ability of sensor-derived metrics to characterize and differentiate goalkeeper-specific actions across different training contexts remains limited. This pilot study adopted a data-driven, multilevel approach to analyze external load and specific actions in a semi-professional female football goalkeeper across 39 training sessions comprising 148 tasks. The aims were: (i) to characterize external load profiles according to task type, (ii) to identify differences in mechanical demands across training contexts, and (iii) to determine the latent structure of goalkeeper-specific load. Descriptive analyses, coefficient of variation (CV), Kruskal–Wallis tests with post hoc comparisons, and principal component analysis (PCA) were conducted. The results revealed a clear task-dependent load gradient, with goalkeeper-specific tasks showing higher values than small-sided games and full-game situations, particularly for variables such as dives/min, dives load/min, and impacts +8/min. High variability was observed, with coefficient of variation values exceeding 100% in several indicators, reflecting the intermittent nature of goalkeeper involvement. Principal component analysis identified a two-component structure explaining 76.6% of the total variance, associated with specific involvement intensity and postural-control/movement-load demands. In this single-case pilot study, the analyzed goalkeeper’s external load was task-dependent, highly variable, and multidimensional. In comparable women’s football contexts, these findings support the use of task-specific inertial monitoring to verify and adjust female goalkeepers’ exposure to key position-specific actions, such as dives, impacts, accelerations/decelerations, and set-position demands, rather than relying exclusively on full-game tasks or generic locomotor indicators. Full article

Pigment implantation (semi-permanent make-up, microblading and cosmetic tattooing) introduces complex pigment mixtures into the dermis, resulting in direct exposure of keratinocytes, fibroblasts and resident immune cells to metals, organic dyes and nanoparticles. Within Somatology and Somatic therapy practice, an allied health discipline concerned with evidence-based care of the skin and body, Somatic Therapists operate at the interface of dermal intervention, molecular exposure and occupational health, underscoring the relevance of mechanistic toxicology for risk-informed professional practice. This PRISMA-guided systematic review synthesises molecular toxicology and omics-based evidence, emphasising oxidative stress generation, inflammatory signalling via NF-κB/MAPK pathways, apoptosis and genotoxicity, T-cell-mediated type IV hypersensitivity reactions associated with modern red azo pigments, and dermal-to-lymphatic transport of particulate matter. Transcriptomic and metabolomic studies consistently demonstrate pigment-specific inflammatory responses and wound-healing gene signatures, supporting mechanism-driven biocompatibility profiling. Regulatory frameworks, including EU REACH Annex XVII Entry 75 and recent FDA guidance on microbial contamination, have strengthened compliance requirements; however, surveillance continues to identify mislabelling, restricted pigments and microbial contamination in some inks. For Somatology and Somatic therapy practice, these findings highlight the importance of evidence-based pigment selection, traceable sourcing, aseptic technique, ventilation, personal protective equipment and informed consent addressing pigment migration and delayed adverse reactions. The integration of molecular outcomes with omics technologies and regulatory oversight provides a next-generation risk assessment framework to advance safe cosmetic practice and public health. Full article

Pesticide-residue risk perceptions among agricultural professionals are shaped by factors that extend beyond knowledge gaps. This study examines how trust in regulatory systems and information sources jointly shape residue-related attitudes among Greek agronomists. We used principal components analysis (PCA) to identify coherent domains and then latent profile analysis (LPA) to derive person-centered profiles based on standardized component scores. Two dominant profiles emerged, differing in regulatory confidence, reliance on institutional/scientific information channels, and comparative risk framing. Residue-Concerned Skeptics expressed lower confidence in enforcement capacity (implementation and staffing) and in the system’s alignment with other EU Member States, together with concerns about chronic pesticide exposure. The System-Confident profile reported higher regulatory confidence and greater reliance on official and scientific channels, as well as stronger endorsement of IPM effectiveness and comparative risk rankings. External validation supported profile differences in perceived training adequacy, IPM beliefs, and organic avoidance behavior. Professional involvement in plant protection and older age were associated with membership in the System-Confident profile. These findings suggest that interventions should emphasize clear communication, capacity building, and address concerns about chronic exposure, beyond information provision alone. Full article

Background/Objectives: Teachers in educational institutions are continuously exposed to high occupational demands, which may contribute to the development of increased adiposity and comparatively unfavorable health-related quality of life (HRQoL) scores. However, there is limited evidence regarding how years of professional experience is associated with these indicators in teachers. The objective of this study is to examine the association between years of professional experience, adiposity indicators, and HRQoL among teachers in educational institutions. Methods: An observational, relational, exploratory cross-sectional study was conducted in 175 teachers from educational institutions in the city of Temuco, Chile. Body mass index (BMI), waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR) were assessed as adiposity indicators, and health-related quality of life (HRQoL) was measured using the SF-12. Age, sex, and years of professional experience were recorded. Simple and multivariable linear regression models were used to analyze the association between years of experience and the study variables, adjusting for age and sex. Additionally, experience tertiles were compared using ANOVA and ANCOVA. Results: In the unadjusted analyses, greater years of professional experience were associated with higher adiposity indicators, including BMI (β = 0.071; 95% CI: 0.020 to 0.129). However, after adjustment for age and sex, these associations were attenuated and no longer statistically significant (adjusted BMI: β = −0.172; 95% CI: −0.434 to 0.053). Associations with PCS and MCS scores were also not statistically significant after adjustment. Conclusions: Teachers exhibited high levels of adiposity and HRQoL scores suggesting an unfavorable perceived health profile. The observed associations between years of professional experience and adiposity or HRQoL appear to be largely explained by age rather than by professional experience itself. Future longitudinal studies are needed to more precisely distinguish between the effects of aging and prolonged occupational exposure. However, the findings should be interpreted cautiously given the convenience sampling design and the inclusion of teachers from a single city. Full article

Special education teachers often lack training to implement research-evaluated writing programs with fidelity, which contributes to insufficient instruction for students with disabilities. This study addresses a research gap: the limited documentation of implementation fidelity in French spelling interventions that integrate assistive technologies (ATs) for learners aged 9–12 with dysorthographia. Grounded in a theoretical foundation that coordinates alphabetic, orthographic, and morphographic processes within an explicit instruction sequence (explanation, modeling, guided practice, and independent application), the program aligned text-to-speech and word prediction with targeted spelling goals. Using a mixed-methods design, six elementary students participated in a single-case protocol with a transformative sequential design over 20 weeks. Four teachers received targeted training (theoretical + practical) and delivered explicit, individualized instruction during a 10-week intervention. Content analysis of teacher and researcher logs showed high, yet context-responsive, fidelity with variations by student profile, school context, and teacher. Converging quantitative and qualitative patterns suggest improvements in word-level accuracy/fluency and highlight training/coaching as a driver of fidelity. The discussion provides actionable implications for professional learning, school scheduling and dosage protection, and future research that multimodalizes fidelity evidence and instruments AT orchestration across the writing cycle. Full article

Driven by the digital transformation of territorial spatial governance, traditional urban planning is irreversibly shifting towards a data-driven empirical paradigm. However, constrained by mimetic isomorphism and path dependence, many geography-based regional universities remain trapped in an educational dilemma: they overemphasize morphological representation while marginalizing quantitative decision-making, fostering a structural mismatch between graduate competencies and industry demands. To explore a systematic pathway out of this dilemma, this study chronicles a three-year pedagogical intervention utilizing a mixed-methods design with a historical control cohort (N = 275) within the urban planning program of Gansu Agricultural University—a regional institution situated in a less-developed frontier where territorial renewal demands macro-spatial synthesis over aesthetic forms. The intervention strategically redefined the graduate competency profile as “spatial data analysts”, constructing a pedagogical model comprising foundational algorithmic training, cross-disciplinary faculty collaboration, and real-world Project-Based Learning (PBL), coupled with a restructured, evidence-based evaluation system. Longitudinal tracking and quantitative analyses indicate a structural alignment with elevated educational efficacy. At the macro level of employment trajectories, the proportion of graduates securing knowledge-intensive data positions experienced a structural shift, rising from a baseline of 14.5% to 42.5%, reflecting an enhanced capacity to capitalize on expanding societal demands. At the meso level of practical competence, the award rate in high-level professional competitions increased by 35.4%. At the micro cognitive level, the new evaluation mechanism is associated with a successful redirection of students’ cognitive resources toward algorithmic logic and policy translation (p < 0.001) while highly significantly enhancing their self-efficacy in tackling complex, wicked engineering problems (p < 0.001). Rather than isolating pure causal mechanics, this study interprets these systemic gains as a contextual realignment of academic supply. It provides a context-sensitive, reproducible methodological reference for cultivating professional distinctiveness and reshaping the spatial planning education system in the digital era. Full article

Background and Objectives: Professional ballet dancers endure high occlusal loads, increasing cervical defect prevalence. Conventional composites fail frequently under such conditions. This randomized clinical trial (RCT) compared 24-month performance of a polymer-infiltrated ceramic network (PICN, VITA Enamic) versus a self-curing bioactive composite (Stela) for cervical restorations. Materials and Methods: Twenty professional ballet dancers (40 cervical defects: 21 carious, 19 abfraction) were enrolled in a paired split-mouth RCT. Each received one PICN inlay and one self-curing composite restoration on two non-adjacent defects. Restorations were assessed at 6, 12, and 24 months using United States Public Health Service (USPHS) criteria (primary: marginal integrity) and a dye penetration test. Secondary outcomes included secondary caries, hypersensitivity, and Oral Health Impact Profile-14 (OHIP-14). Statistical tests: McNemar, Fisher’s exact, Kaplan–Meier, log-rank (α = 0.05). Results: At 24 months, marginal integrity (USPHS Alpha) was maintained in 91% of PICN restorations for carious defects and 89% for abfraction defects, compared to 70% and 50% for self-curing composite, respectively. No PICN restoration failed (0%). Self-curing composite failures were 20% (carious) and 30% (abfraction) (exploratory uncorrected p = 0.031; non-significant after correction). Dye penetration was lower for PICN in abfraction defects (11% vs. 60%, adjusted p = 0.048) but not in carious defects (9% vs. 30%, adjusted p = 0.317). Kaplan–Meier survival favoured PICN (log-rank p = 0.001); 24-month survival probability: PICN 100% (95% CI: 83–100%), self-curing composite 75% (95% CI: 55–95%). No secondary caries or serious adverse events occurred. Conclusions: PICN hybrid ceramic provided superior marginal integrity and zero failures over 24 months in cervical restorations of professional ballet dancers, outperforming the self curing composite. Within this high-risk population, PICN inlays are recommended for abfraction defects. However, because the study was conducted exclusively in professional ballet dancers, direct extrapolation to the general population should be made with caution. The self-curing composite may be considered for carious defects when light curing is problematic, but patients should be informed of higher failure risk. Longer studies are needed. Full article

Background and Objectives: Child dental neglect is a clinically significant form of maltreatment that frequently reflects broader challenges related to caregiving within the family environment. Although oral manifestations have been described in prior research, the socio-behavioral profile of responsible caregivers remains insufficiently characterized, particularly in Central and Eastern European contexts. This study aimed to identify caregiver-level socio-behavioral characteristics associated with child dental neglect and to examine their relationships with clinical outcomes. Materials and Methods: A retrospective cross-sectional analytical study was conducted on 333 children (aged 4–17 years) diagnosed with dental neglect, presenting at a municipal hospital and a private dental practice in Oradea, Romania (2020–2024). Caregiver-level variables included age, educational attainment, socioeconomic status, health condition, substance use, and family structure. Associations were analyzed using Fisher’s Exact Test, Pearson Chi-Square, and Mann–Whitney U test, with Bonferroni correction applied where appropriate. Results: Most caregivers were young adults (93.1%), with low educational attainment (40.2% had no formal schooling) and high rates of alcohol use (47.1%). Low family income was present in 89.2% of cases and was significantly associated with non-adherence to the dental treatment plan (p  =  0.039). Caregivers without formal education were associated with neglect in rural areas (43.4% vs. 26.2%; p  <  0.001). Children of drug-using caregivers were significantly older at presentation (median: 12 vs. 8 years; p  =  0.014), and caregiver drug use was more prevalent in urban settings (18.0% vs. 1.8%; p  <  0.001). Over half of the children (52.9%) came from disrupted family environments. Conclusions: Dental neglect was consistently associated with young, poorly educated, and financially disadvantaged caregivers exhibiting high rates of substance use and unstable family structures. These factors may interact in complex ways, highlighting the multifactorial nature of dental neglect. Dental professionals are well positioned for early identification and have a professional and ethical responsibility to integrate child safeguarding into routine clinical practice. Full article

This research examines the relationship between the current profile of agricultural practitioners and the emerging characteristics of future practitioners, as well as identifying the implications of this relationship for adapting marketing strategies in agricultural innovation. Methodologically, a sequential mixed-methods design was used, combining a literature review, semi-structured interviews with students in the agricultural field, a questionnaire administered to 172 respondents, and a focus group. The results show that the emerging profile of practitioners reflects a reconfiguration of the decision making associated with current practice, within a more digitalized context. The qualitative analysis and quantitative results indicate that the approach to innovation remains anchored in practical utility. The subjects are interested in validation through testing, clarity of results, credibility of sources, and risk control. They demonstrate openness toward innovative technologies and digitalization for decision making. The focus group confirmed an acceptance of new technologies depends on their utility and their smooth integration into current operations, as well as their validation within credible professional networks. The research highlights that marketing strategies for agricultural innovation must be built around practical demonstrations, profitability, accessible content, and professional validation. For Romanian agriculture, these conclusions support the need for communication strategies that are adapted to the current profile of practitioners and the emerging characteristics of the new generation that is entering the agricultural sector. Full article

Student approaches to learning are a key factor in determining learning outcomes in higher education, particularly in teacher education programmes where the development of reflective and autonomous professionals is essential. This study examines second-year Early Childhood Education students’ self-perceptions of their learning approaches prior to the practicum. Data were collected from 311 students across three Catalan universities using the Revised Two-Factor Study Process Questionnaire (R-SPQ-2F). A quantitative design was employed using a self-report questionnaire to analyse the relationship between motivation, learning strategies, and students’ tendency towards deep or surface learning approaches. The findings reveal variability in motivation and strategy use, with a tendency towards less consolidated deep learning approaches at this stage of training. Differences associated with students’ profiles, particularly age and academic pathways, were also observed, although these should be interpreted with caution. The study identifies key pedagogical factors that may support the development of deeper learning, including the design of practicum seminars that promote reflection, meaningful engagement, and alignment between theory and practice. These results suggest that structured pedagogical approaches, such as constructive alignment, can contribute to fostering reflective, autonomous, and professionally oriented learning in teacher education. By linking students’ learning profiles with curriculum and assessment design, this research contributes to current debates on sustainable teacher education and offers evidence-based guidance for strengthening practicum structures aligned with Education for Sustainable Development and Sustainable Development Goal 4. Full article