Search Results (7,765)

Physiological dysregulation arising from chronic stress is a key mechanism linking psychosocial factors to long-term health outcomes, yet early identification typically relies on invasive or resource-intensive measurements. This study evaluates whether high-dimensional psychometric survey data can support scalable, non-invasive screening for latent physiological dysregulation. Using longitudinal data from the Midlife in the United States (MIDUS) Waves 2 and 3, we develop a screening-oriented modeling framework that separates longitudinal risk estimation from deployable screening model construction. Physiological targets are defined across inflammatory, metabolic, and neuroendocrine domains using three canonical allostatic load formulations. A teacher–ranking–pruning–student pipeline combines stable feature ranking, parsimony-driven dimensionality reduction, and knowledge distillation. Predictor dimensionality is reduced by more than an order of magnitude without loss of screening performance. Distilled student models consistently outperform linear, tree-based, and direct neural baselines, achieving area under the receiver operating characteristic curve values up to approximately 0.78 and substantial precision–recall lift over baseline prevalence. Longitudinal information is exploited during model development but not required at inference, enabling deployment using psychometric data alone. These findings demonstrate the feasibility of non-invasive screening for latent physiological dysregulation and provide a generalizable framework for translating longitudinal cohort data into deployable population health tools. Full article

Background: Perfectionism is a multidimensional disposition marked by exceptionally high standards and self-worth contingent on flawless performance. In university settings, academic demands may amplify perfectionistic pressure, with maladaptive outcomes most consistently linked to socially prescribed expectations and self-critical failure processing. This study profiled perfectionism dimensions in Italian university students and examined their associations with perceived relational and self-related correlates (Roots). Methods: A multicenter cross-sectional study was conducted with Italian university students. Participants completed two validated tools: the 14-item Multidimensional Perfectionism Scale—Revised (MPS-R) and the 16-item Roots questionnaire. Descriptive statistics, Spearman correlations, and non-parametric group comparisons were performed. Results: Self-oriented perfectionism was the most prominent dimension, while socially prescribed perfectionism (SPP) was comparatively lower but showed the clearest links with vulnerability-related correlates. Lower perceived parental and interpersonal trust was associated with stronger failure-based self-appraisals and perceived excessive demands from others. Higher SPP was observed among women and younger students and in more evaluative study contexts. Conclusions: Perfectionism in this sample was predominantly self-directed, yet risk-relevant profiles were characterized by SPP and self-critical failure processing in conjunction with lower perceived trust/acceptance. These findings support screening approaches that move beyond global scores and inform prevention strategies targeting fear of mistakes, contingent self-worth, and perceived evaluative pressure to promote student well-being. Longitudinal and intervention studies are needed to test temporal pathways and scalable, targeted prevention strategies. Full article

The perception of urban spaces during walking experiences is influenced by an individual’s social conditions, personal characteristics, and the spatial features of the route being walked. This study proposes a methodological approach that focuses on the individual and spatial factors affecting perception of urban spaces during walking experiences, incorporating subjective data that influence perception. The aim of this research is to measure both qualitative and quantitative data that affect the perception of urban spaces during the walking experience in a comprehensive and systematic manner, using fuzzy logic. Within the scope of the research, a field survey was conducted with 25 university students in Değirmendere Yalı Neighbourhood (Kocaeli) and Bahçelievler Neighbourhood (Yalova), and the data obtained from the survey were analysed using the fuzzy logic method to test the applicability and validity of the method. The results of the analysis performed using the fuzzy logic model showed that individual factors affecting the perception of urban space during the walking experience, the walkability characteristics of the space, and the perceptual characteristics of the space can be comprehensively evaluated using the fuzzy logic method, and that the perception of urban spaces can be measured quantitatively. Full article

Background/Objectives: Intraoperative neuromonitoring (IONM) has improved safety in thyroid and parathyroid surgery, yet intermittent IONM (I-IONM) may miss traction injuries developing between stimulations. We evaluated the feasibility and clinical utility of a trend-based intermittent monitoring mode (NIM Vital NerveTrend®) that records closely spaced stimulations and plots amplitude and latency over time. Methods: We conducted a prospective observational study at a high-volume endocrine surgery unit (January–September 2025). Forty-four consecutive patients undergoing thyroidectomy and/or parathyroidectomy with NerveTrend® were enrolled. Electromyography (EMG) responses were categorized as Green (amplitude > 50% of baseline and latency < 110%), Yellow (amplitude < 50% or latency > 110%), Red (amplitude < 50% and latency > 110%), and Loss of Signal (LOS: amplitude <100 µV). Primary outcomes included LOS prevalence and the association between stimulation frequency and the appearance of Yellow trends. Ethical approval: AVEN protocol 486/2024/OSS/AOUPR; informed consent obtained. Results: Of 71 nerves at risk (NAR), 55 had a valid baseline and were analyzed; LOS occurred in 3/55 NAR (5.5%). The mean number of stimulations per NAR was 4.5 (range 1–9). Cases with both Green and Yellow points had a significantly higher mean number of stimulations than cases with only Green points (5.1 vs. 3.8; Student’s t-test p = 0.0059). One Red measurement occurred in a case that progressed to LOS. Conclusions: NerveTrend® provided near real-time functional feedback while maintaining the simplicity of I-IONM. Increased stimulation frequency was associated with early Yellow trend alerts, potentially signaling traction stress and enabling timely surgical adjustments. Larger multicenter studies and protocol standardization are warranted. Full article

Learning Management Systems (LMS) generate rich activity and interaction logs that can be exploited using machine learning techniques. This study models temporal engagement patterns, such as early, middle, late, weekend, and night activity, derived from Moodle logs in multiple undergraduate courses. It constructs temporal feature vectors per-student, applies k-means clustering to uncover behavioral patterns, and then uses ANOVA and Kruskal–Wallis tests to assess whether patterns differ in final grades. Results show that the predictive value of temporal patterns is highly course-dependent; in some courses, structured early engagement aligns with higher achievement, whereas in others, heavy weekend and night usage is associated with the best outcomes. To complement the obtained quantitative analyses, a Large Language Model (LLM) (i.e., ChatGPT) is evaluated as a zero-shot classifier that receives only natural-language summaries of temporal behavior and predicts performance tiers. While accuracy is limited, the model produces a coherent approach, indicating value as an interpretable layer on top of statistical analysis. The work demonstrates a generalizable pipeline for temporal feature engineering, unsupervised profiling, and LLM-based reasoning over LMS data for early risk detection in digital learning environments. Full article

This qualitative study examines the organizational structures shaping the experience of 18 women assistant heads working at K-12 independent, co-educational, day schools serving students of 700 students or more. Specifically, we were interested in better understanding the disproportionate representation of women in the assistant headship and whether, and to what degree, this may be a function of the role. We wondered if gendered structural elements shaping the role and specifically feminization (e.g., gendered expectations, role elasticity, diminished professional autonomy, and compensation structures that devalue care work) may hamper these women’s overall success and well-being. We found that the structures shaping their role did appear to be feminized, such that while many participants felt a sense of purpose in their work, the expansive and seemingly endless nature of their responsibilities; the emotional labor the role necessitated; the limited guidance, autonomy, and feedback they received; and their frequent perception that their efforts were under-compensated contributed to diminished well-being. The implications of this study include the need for training in, and implementation of, best practices for evaluation, mentorship, and mitigating gender bias and discrimination in all aspects of school operations. Full article

Objectives: To assess the impact of organized (OgS) versus opportunistic screening (OpS) on grade, extent, and surgical management of cervical lesions, and to evaluate human papillomavirus (HPV)-based versus cytology-based screening within OgS. Methods: This retrospective study analyzed 9830 women undergoing conization (1992–2021). Data included screening modality, histology, cervical intraepithelial neoplasia grade 3 (CIN3) linear extension, and cone volume. Statistical analysis employed chi-square test, Student’s t-tests, Cochran–Armitage test for trend, and Firth’s penalized multivariate logistic regression to identify independent predictors of invasive disease. Results: Of 9830 patients, 5097 (52%) were referred from OgS and 4733 (48%) from OpS. OgS patients were significantly older (40.0 vs. 37.0 years; p < 0.001). In the final decade, OgS achieved a significantly lower rate of invasive carcinomas compared to OpS (1.1% vs. 2.7%; p < 0.001). Mean CIN3 extension and cone volume were significantly lower in OgS (6.5 mm; 1150 mm³) than in OpS (7.1 mm; 1580 mm³; p < 0.001). Within OgS, HPV-detected CIN3 lesions were smaller than cytology-detected ones (5.9 vs. 6.4 mm; p < 0.001). Long-term analysis showed a borderline downward trend in invasive cancer for OgS (p = 0.089), whereas OpS remained stable at higher risk levels. Multivariate analysis confirmed the screening model as an independent predictor of invasiveness: OpS was associated with a two-fold increased risk of invasive cancer compared to OgS (adjusted odds ratio: 1.99; 95% confidence interval: 1.41–2.83; p < 0.001). Conclusions: OgS identifies high-grade precancers earlier and with smaller excisional requirements. OpS is associated with significantly higher invasive cancer rates and larger conizations. Multivariate data reinforce OgS as a superior framework, effectively halving the risk of invasive disease compared to OpS. Full article

Background/Objective: Helping Early Adolescents Live Their Healthiest Youth (HEALTHY) is a four-session, smoothie-based nutrition education program grounded in Social Cognitive Theory (SCT) and Choice Architecture, designed to promote nutrition security among rural adolescents. This study examined students’ experiences with the program, including perceptions of likeability and perceived learning, as well as the theoretical mechanisms shaping engagement. Methods: A mixed-methods evaluation was conducted in two rural middle schools where the programming was delivered. Process indicators were assessed using brief paper-based surveys administered after each program session. Quantitative items captured likability and willingness to consume smoothies again (at home or school lunch), and qualitative open-ended responses were analyzed inductively. Post-program focus groups were conducted with a subsample of participants (N = 18) and analyzed deductively using a coding framework aligned with SCT constructs. Results: Across sessions, students (N = 360) reported high smoothie likeability, with fewer than 15% indicating dislike of any recipe. Willingness to consume smoothies again remained high, with affirmative responses ranging from 72% to 94% at home and 79% to 97% at school lunch. Inductive thematic analysis indicated that 53% of survey responses reflected session-aligned nutrition knowledge, along with themes related to acceptability and suggestions for improvement. Focus group findings reflected multiple SCT constructs, including knowledge awareness, self-efficacy, and goal-setting, as well as environmental influences regarding engagement, consistent with Choice Architecture. Conclusions: Findings indicate that the HEALTHY program was well received by rural adolescents and reflected key theoretical mechanisms underlying its design. Student feedback guides future program refinement. Full article

Fire safety plays a vital role in protecting lives, property, and the environment, and it keeps communities and organizations running safely. Many existing fire pump control systems fall short in educational and small-to-medium industrial settings: they often control only one pump at a time, rely heavily on manual monitoring, and come with high costs that limit accessibility. To address these gaps, we developed an affordable, hands-on educational kit that brings real-world fire safety systems into the classroom using modern automation technology. The system is built around a Delta DVP12SA211R PLC chosen for its built-in real-time clock, integrated RS-232/RS-485 ports for reliable communication, and expanded with DVP16SP11R digital I/O and DVP04AD-S2 analog input modules to interface with simulated sensors mimicking smoke detection and water pressure. Students interact with the system through a Delta DOP-110IS HMI, which features Ethernet connectivity for remote observation, electrical isolation for safe operation, and a 200 ms screen update rate to ensure responsive, realistic feedback. The kit enables learners to explore critical emergency scenarios, including automatic switching between jockey and main pumps, low-pressure alerts, and system failover, transforming theoretical concepts into tangible skills. In user evaluations, 57.1% of students with no prior experience reported that the simulations closely mirrored real-world systems, while 80% of those with a fire safety background found the kit reinforced their existing knowledge; notably, 57.1% of instructors rated it as highly effective for teaching core fire safety principles across diverse learner profiles. By integrating industrial-grade hardware with scenario-based learning, this tool not only deepens understanding of fire protection systems but also better prepares future engineers for the practical demands of fire safety and industrial automation careers. Full article

The physiological impact of neoadjuvant therapy on vascular and thermal responses in breast cancer patients remains poorly understood, despite its clinical relevance for predicting treatment outcomes and managing therapy-related side effects. Sensor-based monitoring technologies, such as thermography and Doppler ultrasound, provide non-invasive approaches to assess circulatory and thermal changes, potentially serving as predictive biomarkers of therapeutic efficacy. This study aimed to evaluate vascular impairment and correlate circulatory alterations with skin surface temperature in women undergoing neoadjuvant therapy for breast cancer. A total of 38 women were enrolled and distributed into two groups: patients receiving eight cycles of neoadjuvant chemotherapy and healthy controls. Thermographic imaging was employed to measure upper-limb surface temperature, while Doppler ultrasound assessed arterial and venous blood flow in the cubital fossa. Paired Student’s t-tests compared experimental moments (C1, C5, C8), with normality assessed from difference scores (Δ) and results expressed as mean differences with 95% CIs (p < 0.05, two-tailed). Associations between surface temperature and arterial blood flow were examined using simple linear regression (R², F-statistic, β, p-values). Analyses were performed in SPSS 20.0 (SPSS Inc., Chicago, IL, USA). Significant increases in surface temperature (p < 0.001) and blood flow velocity (p < 0.004) were observed in patients compared with controls prior to therapy, suggesting pre-existing vascular and thermal dysregulation. Neoadjuvant therapy significantly altered thermal and vascular dynamics, reinforcing the utility of sensor-based monitoring to capture subtle physiological responses during treatment. Full article

Generative artificial intelligence is increasingly embedded in architectural practice and education, yet its role often remains confined to image production or optimization tasks. This study situates generative AI within a broader design ecology. It examines how structured human–AI interaction can support environmentally oriented architectural thinking in design education. The article presents an international design workshop as a research setting in which architecture students engaged with AI through a multi-agent workflow. This workflow combined large language models, diffusion-based image generation, 2D–3D translation tools, parametric modeling, and clay-based 3D printing. Central to the methodology is the concept of prompt choreographies. These are deliberate dialogs between human and AI agents, based on a language of prompts and AI-generated outcomes. Through this process, the design concept moves toward a final architectural proposal. The workshop addressed complex ecological challenges emerging from interactions among Earth’s spheres. These were conceived as environmental interfaces defined by behavioral continuity rather than typological form. Using qualitative, design-based evaluation criteria focused on environmental, spatial, and material aspects, the study identifies recurring patterns of human–AI collaboration. The findings indicate that generative AI supports architectural ideation most effectively when embedded in structured workflows that emphasize curatorial decision-making and reduce generative overproduction. While limited to a workshop-based educational context, the research offers transferable methodological insights for architectural pedagogy and conceptual practice. It proposes a process-oriented framework for designing with generative AI and outlines an emerging form of architectural literacy and multi-agent collaboration that warrants further empirical validation. Full article

Background: COVID-19 can have adverse effects on individuals’ lung functions for up to 6 months or more after the episode. As a result, people may be reluctant to exercise, and this can have further adverse effects on their lung capacity and fitness. This study aimed to examine the effectiveness of a telemedicine program designed to increase the exercise participation of young adults after COVID-19 and evaluate the changes in lung function after exercise training. Methods: The quasi-experimental pre–post study recruited sixty university students who had suffered from COVID-19 within the past 12 months. Four pulmonary outcomes were compared: forced expiratory volume in one second (FEV1), forced vital capacity (FVC), peak expiratory flow rate (PEFR), and the ratio of FEV1 to FVC. The telemedicine exercise (TE) group (n = 36) received an intervention to carry out regular stepping exercise (up to 10,000 steps) via online video instruction and frequent WhatsApp reminder messages. The control group (n = 24) only received an initial WhatsApp message to carry out regular stepping exercise, with no further follow-up. Results: The FVC, FEV1, and FEV1/FVC ratio revealed significant overall improvement both within groups and between groups (p < 0.001), with moderate effect sizes. PEFR showed a significant improvement within groups (p = 0.007) but not between groups (p = 0.533). The TE group recorded a significant increase in daily step count (from 7165 to 9733, p < 0.001) after 4 weeks of training. The control group showed a significant reduction in step count (from 6975 to 6442, p = 0.049). Conclusions: The results confirmed the beneficial effects of the telemedicine exercise program in contributing to increased exercise participation and improved lung functions. Full article

Strengthening key competencies in veterinary preclinical education, such as anatomical identification, spatial–visual reasoning, and anatomical–surgical understanding, is essential for effective preclinical learning. In this context, veterinary preclinical education is undergoing a transformation process in which traditional theoretical–practical approaches show limitations in responding to current educational demands, making it necessary to adopt innovative strategies based on active learning and simulation. This study presents a simulation-based educational approach designed to support competency development within preclinical veterinary education. Using a reproducible and low-cost workflow applied to a real canine cranial case of extra-genital transmissible venereal tumor (TVCT) with frontal bone invasion, used exclusively as a teaching scenario. Fourteen veterinary medicine students from the same institution participated in two instructional conditions: Group A received traditional theoretical instruction (including cadaveric specimens) without the use of 3D-printed models, while Group B participated in simulation-based training supported by virtual planning and a 3D-printed cranial model. Learning outcomes are assessed through structured observation and descriptive analysis. A Likert-type survey was also used to assess satisfaction and engagement among students who participated in the model-supported training, as well as to map competencies across cognitive, visual-spatial, and anatomical-surgical reasoning domains, with evaluation conducted by veterinarians with clinical and teaching experience. Descriptive observations indicated that students participating in the simulation-based training engaged in three-dimensional anatomical exploration of cranial anatomy and case-based anatomical-surgical discussion. In addition, survey responses from Group B indicated high levels of engagement and interest, as well as high perceived usefulness of the model-supported training experience. These findings suggest that simulation-based educational frameworks may offer a safe, transferable, and pedagogically valuable strategy for competency development within preclinical veterinary education. Full article

Today, university counselling services play a crucial role in creating places where personal and professional skills can be developed. Universities provide an environment where people can grow as individuals and improve their quality of life. The aim of the study was to evaluate the impact of a counselling service that uses positive psychology as a theoretical and practical framework on students’ well-being and positive resources. Methods: Seventy students aged between 19 and 54 (M = 24.2; SD = 5.87), of whom 68.6% were women and 31.4% were men, participated in 10 psychological counselling sessions. The sessions focused on academic and general well-being, non-intellectual skills related to academic performance and satisfaction (e.g., academic self-efficacy, motivation, reaction to failure, time management), as well as positive resources (e.g., hope, resilience, courage). Participants completed a questionnaire protocol on these variables before and 6 months after the intervention. Results: The results show a significant increase in almost all indices of general and domain-specific well-being and in positive psychosocial resources. The participants themselves stated that the counselling intervention produced significant changes in their lives in general and as university students. Conclusions: The results seem to suggest that structuring counselling programmes with a positive, well-being-oriented perspective can promote students’ professional and personal development. Building psychological support environments can guide everyone on the path to maximising their potential in life and professional trajectories. The university services must pay constant attention not only to student performance but, above all, to improving their quality of life, preventing distress and promoting well-being. Full article

The Spanish Public University System (SUPE) assigns student placements through a multi-step application process governed by legal criteria. Analyzing how students move between different degree programs during this process is crucial for universities to optimize and plan their academic offerings. This paper analyzes a decade of student pre-registration data (2014–2023) to track evolving preferences and mobility between degrees. We model this process as a directed graph, mapping student traffic and studying the formation of directional communities within the degree network. A significant challenge is the weakly connected and poorly conditioned nature of these graphs, which impedes standard community detection algorithms. Extending prior work that relied on manually set thresholds for pruning edges, we propose a novel adaptive pruning algorithm that requires no manual intervention. Applying this method to annual data improves community detection performance and reveals gradual shifts in student preferences and demand, particularly in response to new degrees. These insights provide a valuable decision-making tool for higher education institutions, helping them refine their degree offerings in response to evolving trends. Full article