Search Results (2,812)

Sociotechnical systems (STSs) are generally assumed to be systems that incorporate humans and technology, strongly depending on a sustainable equilibrium between the following nondeterministic social context ingredients: social structures, roles, and rights, as well as the designers’ Holy Grail, the deterministic nature of the underlying technical system. The fact that the relevant social concepts are more mature than the supporting technologies qualifies the digital transformation of sociotechnical systems as a reengineering rather than an engineering endeavor. Preserving the social mission throughout the digital transformation process in varying social contexts is mandatory, making the digital twins (DT) methodology application a contemporary research hotspot. In this research, we combined continuous transformation STS theory principles, an observer-based system-of-sociotechnical-systems (SoSTS) architecture model, and digital twinning methods to address common STS context representation challenges. Additionally, based on model-driven systems engineering methodology and meta-object-facility principles, the research specifies the universal meta-concepts and meta-modeling templates, supporting the creation of arbitrary sociotechnical systems’ external context digital twins. Due to the inherent diversity, significantly influenced by geopolitical, economic, and cultural influencers, a higher education external context specialization illustrates the reusability potentials of the proposed universal meta-concepts. Substituting higher-education-related meta-concepts and meta-models with arbitrary domain-dependent specializations further fosters the proposed universal meta-concepts’ reusability. Full article

This study develops and validates an artificial intelligence (AI)-assisted internship learning platform for automotive electronics based on the Llama 3 large language model, aiming to enhance pedagogical effectiveness within vocational training contexts. Addressing critical issues such as the persistent theory–practice gap and limited innovation capability prevalent in existing curricula, we leverage the natural language processing (NLP) capabilities of Llama 3 through fine-tuning based on transfer learning to establish a specialized knowledge base encompassing fundamental circuit principles and fault diagnosis protocols. The implementation employs the Hugging Face Transformers library with optimized hyperparameters, including a learning rate of 5 × 10⁻⁵ across five training epochs. Post-training evaluations revealed an accuracy of 89.7% on validation tasks (representing a 12.4% improvement over the baseline model), a semantic comprehension precision of 92.3% in technical question-and-answer assessments, a mathematical computation accuracy of 78.4% (highlighting this as a current limitation), and a latency of 6.3 s under peak operational workloads (indicating a system bottleneck). Although direct trials involving students were deliberately avoided, the platform’s technical feasibility was validated through multidimensional benchmarking against established models (BERT-base and GPT-2), confirming superior domain adaptability (F1 = 0.87) and enhanced error tolerance (σ² = 1.2). Notable limitations emerged in numerical reasoning tasks (Cohen’s d = 1.15 compared to human experts) and in real-time responsiveness deterioration when exceeding 50 concurrent users. The study concludes that Llama 3 demonstrates considerable promise for automotive electronics skills development. Proposed future enhancements include integrating symbolic AI modules to improve computational reliability, implementing Kubernetes-based load balancing to ensure latency below 2 s at scale, and conducting longitudinal pedagogical validation studies with trainees. This research provides a robust technical foundation for AI-driven vocational education, especially suited to mechatronics fields that require close integration between theoretical knowledge and practical troubleshooting skills. Full article

The social acceptance of Renewable Energy Sources (RESs) is a decisive factor in the successful implementation of clean energy projects. This study explores the attitudes, demographic profiles, and common misconceptions of citizens in the Region of Epirus, Greece, toward photovoltaic and wind energy installations. Special attention is given to the role of education, age, and access to information—as well as spatial factors such as visual exposure—in shaping public perceptions and influencing acceptance of RES deployment. A structured questionnaire was administered to 320 participants across urban and rural areas, with subdivision between regions with and without visual exposure to RES infrastructure. Findings indicate that urban residents exhibit greater acceptance of RES, while rural inhabitants—especially those in proximity to installations—express skepticism, often grounded in esthetic concerns or perceived procedural injustice. Misinformation and lack of knowledge dominate in areas without visual contact. Statistical analysis confirms that younger and more educated participants are more supportive and environmentally aware. The study highlights the importance of targeted educational interventions, transparent consultation, and spatially sensitive communication strategies in fostering constructive engagement with renewable energy projects. The case of Epirus underscores the need for inclusive, place-based policies to bridge the social acceptance gap and support the national energy transition. Full article

Lesbian, Gay, Bisexual, Transgender, Questioning, or Queer (LGBTQ) students with disabilities face unique challenges in the educational environment, and educators must provide support based on intersectionality. However, research on LGBTQ students in special needs education is limited, and the extent of educators’ awareness and support is not well documented. Therefore, this study explored the awareness, knowledge, and support practices of special needs school educators regarding LGBTQ students. We conducted a nationwide survey of educators in special needs schools in Japan, and 2024 valid responses were analyzed using multiple correspondence and cluster analyses. The results revealed that many educators lacked an understanding of basic LGBTQ terminology and may have been unaware of their discriminatory behaviors. Additionally, most educators had never encountered LGBTQ students with disabilities, potentially hindering these students’ opportunities to seek support. Furthermore, educators who had received LGBTQ training reported higher awareness and being more proactive in supporting LGBTQ students than those who had not. Thus, training may be associated with support-related attitudes. This highlights the need for ongoing training programs that address LGBTQ identity and disability, considering their intersectionality. These preliminary findings suggest the potential for creating an inclusive environment for LGBTQ students with disabilities; nevertheless, structural barriers remain. Full article

Family empowerment is a key component of effective family-centered practices in healthcare, mental health, and educational services. The Family Empowerment Scale (FES) is the most commonly used instrument to evaluate empowerment in families raising children with emotional, behavioral, or developmental disorders. Despite its importance, the FES for diverse populations, especially Latinx parents, has rarely been evaluated using innovative psychometric approaches. In this study, we evaluated key dimensions and psychometric evidence of the Family Empowerment Scale (FES) for 96 Latinx parents of children with intellectual and developmental disabilities (IDD) in the United States using an exploratory graph analysis (EGA). The EGA identified a five-dimensional structure, and EGA models outperformed the original CFA 3-factor models for both parents of children with autism and other disabilities. This study identified distinct, meaningful dimensions of empowerment that reflect both shared and unique empowerment experiences across two Latinx parent groups. These insights can inform the design of culturally responsive interventions, instruments, and policies that more precisely capture and boost empowerment in Latinx families. This study contributes to closing a gap in the literature by elevating the voices and experiences of Latinx families by laying the groundwork for more equitable support systems in special education and disability services. Full article

The aim of this study was to verify whether comprehensive and inclusive pro-safety education contributes to building a strong safety culture in food companies. The study was conducted in 612 Polish companies, where special attention was paid to modern forms of education during pro-safety education, as well as the frequency and duration of this education. The results of the study showed that safety culture is poorly developed, even when it is consciously and formally implemented in the company. One of the identified problems was the discrepancy between the company’s declared commitment to pro-safety education and the actual behavior of employees. This indicates that formal company strategies may not be effectively embedded in the attitudes and actions of employees. The research emphasizes the importance of adapting pro-safety efforts to the organizational culture in order to ensure significant results and avoid superficial implementation. Full article

In the context of typhlo music therapy, personalized interventions can significantly enhance the therapeutic experience for visually impaired children. Leveraging a data-driven approach, we incorporate action-rule discovery to provide insights into the factors of music that may benefit individual children. The system utilizes a comprehensive dataset developed in collaboration with an experienced music therapist, special educator, and clinical psychologist, encompassing meta-decision attributes, decision attributes, and musical features such as tempo, rhythm, and pitch. By extracting and analyzing these features, our methodology identifies key factors that influence therapeutic outcomes. Some themes discovered through action-rule discovery include the effect of harmonic richness and loudness on expression and communication. The main findings demonstrate the system’s ability to offer personalized, impactful, and actionable insights, leading to improved therapeutic experiences for children undergoing typhlo music therapy. Our conclusions highlight the system’s potential to transform music therapy by providing therapists with precise and effective tools to support their patients’ developmental progress. This work shows the significance of integrating advanced data analysis techniques in therapeutic settings, paving the way for future enhancements in personalized music therapy interventions. Full article

Background: Brain health is a growing public health priority due to the high global burden of neurological and mental disorders. Promoting brain health across the lifespan supports individual and societal well-being, creativity, and productivity. Objective: To address the need for specialized education in this field, the University of Bern developed a Certificate of Advanced Studies (CAS) in Brain Health. This article outlines the program’s rationale, structure, and goals. Program Description: The one-year, 15 ECTS-credit program is primarily online and consists of four modules: (1) Introduction to Brain Health, (2) Brain Disorders, (3) Risk Factors, Protective Factors and Interventions, and (4) Brain Health Implementation. It offers a multidisciplinary, interprofessional, life-course approach, integrating theory with practice through case studies and interactive sessions. Designed for healthcare and allied professionals, the CAS equips participants with skills to promote brain health in clinical, research, and public health contexts. Given the shortage of trained professionals in Europe and globally, the program seeks to build a new generation of brain health advocates. It aims to inspire action and initiatives that support the prevention, early detection, and management of brain disorders. Conclusions: The CAS in Brain Health is an innovative educational response to a pressing global need. By fostering interdisciplinary expertise and practical skills, it enhances professional development and supports improved brain health outcomes at individual and population levels. Full article

IgA nephropathy is the most common primary glomerulonephritis, with pathohistological changes described by the Oxford classification, while the Banff classification is used in transplant pathology. This study included 253 patients with IgA nephropathy in native kidneys, divided into the pediatric (n = 105) and adult (n = 148) groups. It aimed to examine clinical, and Oxford and Banff morphological parameters in relation to age, correlations of clinical data with pathohistological parameters, and predictors of the disease outcome. Pediatric patients more frequently presented with macroscopic hematuria, while adults showed higher urea and creatinine levels, and lower eGFR. Examining Oxford classification parameters, chronic glomerular and tubulointerstitial lesions were more common in adults. Banff parameters revealed more frequent chronically active glomerular, inflammatory, chronic tubulointerstitial, and vascular lesions in adults. All inflammatory, chronic tubulointerstitial, and vascular parameters correlated with serum urea levels, eGFR and CKD stage in adults, while less frequent in pediatric patients. Tubulointerstitial Oxford and Banff parameters were strong predictors of CKD and proteinuria progression in children, while such predictors were fewer in adults; segmental glomerulosclerosis predicted hematuria progression in adults. Banff parameters (cg, t, ti, i, i-IFTA, ptc, cv), not in Oxford classification, significantly predict outcomes and are recommended for incorporation into IgA nephropathy reports. Full article

Understanding vehicle emissions is essential for developing effective carbon reduction strategies in the transport sector. Conventional emission models often assume homogeneity and linearity, overlooking real-world asymmetries that arise from variations in vehicle design and powertrain configurations. This study explores how machine learning and explainable AI techniques can effectively capture both symmetric and asymmetric emission patterns across different vehicle types, thereby contributing to more sustainable transport planning. Addressing a key gap in the existing literature, the study poses the following question: how do structural and behavioral factors contribute to asymmetric emission responses in internal combustion engine vehicles compared to new energy vehicles? Utilizing a large-scale Spanish vehicle registration dataset, the analysis classifies vehicles by powertrain type and applies five supervised learning algorithms to predict CO₂ emissions. SHapley Additive exPlanations (SHAPs) are employed to identify nonlinear and threshold-based relationships between emissions and vehicle characteristics such as fuel consumption, weight, and height. Among the models tested, the Random Forest algorithm achieves the highest predictive accuracy. The findings reveal critical asymmetries in emission behavior, particularly among hybrid vehicles, which challenge the assumption of uniform policy applicability. This study provides both methodological innovation and practical insights for symmetry-aware emission modeling, offering support for more targeted eco-design and policy decisions that align with long-term sustainability goals. Full article

Endometriosis is a benign and often underdiagnosed condition that affects women of reproductive age, typically between 18 and 45 years. It can cause infertility and pain, including radicular pain and low back pain (LBP). The aim of this case report is to emphasize the importance of making a differential diagnosis when facing LBP and radicular symptoms. We report the case of a 17-year-old female patient, R.A., presented with a significant LBP (NPRS 8/10) radiating from her lumbar spine to her right buttock and occasionally to both legs, accompanied by weakness. She revealed exacerbation of pain during menstruation, despite being under hormonal contraceptive treatment. After three physiotherapy sessions that included education, manual therapy and exercise, the patient’s pain persisted so her physiotherapist recommended an evaluation in the emergency department, where standard radiography did not reveal any significant findings. Physiotherapy continued until the fifth session, when the patient agreed to undergo evaluation at a specialized endometriosis centre. Further investigations revealed endometriotic tissue on the uterosacral ligament, leading to hormonal therapy adjustment, with which pain gradually decreased to a manageable level (NPRS 2/10). This case report highlights the importance of an early differential diagnosis in patients with LBP, as endometriosis can present not only in older women but also in younger patients, including those already on oral contraceptives. Therefore, to mitigate the risk of pattern recognition bias, clinicians must maintain a high index of suspicion for endometriosis, even in atypical or unlikely clinical presentations. Full article

Background/Objectives: Educational background is an aspect of socio-economic status, that may be associated with higher caries risk. This study aimed to investigate differences in caries prevalence between different school types for older adolescents in Greifswald, Germany. Methods: Cross-sectional data were collected as part of compulsory dental school examinations between 2020 and 2023. Oral health status was assessed according to WHO criteria by six calibrated examiners and reported as mean D₃MFT (D₃: dentin caries, M: missing, F: filled, SD/±: standard deviation). To compare educational backgrounds, the adolescents were divided into two groups according to their age and type of school (11–15 and 16–18 years old). Results: The study included 5816 adolescents (48.7% females) with a mean D₃MFT of 0.65 (Q1–Q3: 0–1); 73.8% were clinically caries-free, having D₃MFT = 0, confirming the polarization in caries experience with 2.5 ± 2.13 SaC index. The logistic regression model showed a significantly increased Odds Ratio for having caries in relation to age, being male, having plaque or gingivitis (p < 0.005). There were significant differences in caries experience and prevalence between school types, where high schools had the lowest D₃MFT values in both age groups (0.39 ± 1.17 and 0.64 ± 1.49, respectively). The highest D₃MFT values were in schools for special educational needs in younger adolescents (1.12 ± 1.9) and in vocational schools in older adolescents (1.63 ± 2.55). Conclusions: In a low-caries-risk population, there were significant differences in caries experience and prevalence among adolescents in different school types. Prevention strategies should aim to reduce the polarization in caries across different educational backgrounds in late adolescence. Full article

Health literacy improves informal caregivers’ knowledge and ability to provide care. The aim of this study is to analyze the impact of a group-based intervention on the health literacy of informal caregivers of children with special health needs (SHNs). The intervention focuses on movement, hydrotherapy, walking, and relaxation, with three evaluation stages. Participants included 34 informal caregivers of children with SHNs, recruited at a Physical Medicine and Rehabilitation Service. We collected sociodemographic data of the participants and measured their health literacy through the short-form version of the European Health Literacy Survey Questionnaire (HLS-EU-Q16). Around 70% of the participants were female, with a mean age of 41.06 ± 4.98 years, and nearly 85% were married or in a de facto union. About 26% were unemployed, and more than 65% had completed secondary education or higher. The mean scores of the HLS-EU-Q16 were statistically significantly higher throughout the intervention, with differences over the evaluation stages [F(2,56) = 75.55; p < 0.05]. A structured, dynamic, and group-based intervention plan showed improvements in the health literacy of the participants, with an increase in the percentage of participants with sufficient and excellent levels of health literacy at the end of the intervention. Full article

Minimally invasive cosmetic procedures, such as dermal fillers, botulinum toxin injections, autologous fat grafting, intense pulsed light (IPL) treatments, and platelet-rich plasma (PRP) treatments, are increasingly popular worldwide due to their convenience and aesthetic benefits. While generally considered safe, these procedures can result in rare but serious ophthalmological complications. The most catastrophic adverse events include central retinal artery occlusion and ischemic optic neuropathy, which may lead to irreversible vision loss. Other complications include diplopia, ptosis, dry eye, and orbital cellulitis, with varying degrees of severity and reversibility. Awareness of potential ocular risks, appropriate patient selection, and adherence to safe injection techniques are crucial for preventing complications. This narrative review summarizes the incidence, mechanisms, clinical features, risk factors, diagnostic approaches, and management strategies of ocular complications associated with aesthetic medical procedures. A narrative literature review was conducted, emphasizing data from clinical studies, case series, and expert consensus published between 2015 and 2025. Special attention is given to anatomical danger zones, the pathophysiological pathways of filler embolization, and the roles of hyaluronidase and hyperbaric oxygen therapy in acute management. Although many complications are self-limited or reversible, prompt recognition and intervention are critical to prevent permanent sequelae. The increasing prevalence of these procedures demands enhanced education, informed consent, and interdisciplinary collaboration between aesthetic providers and ophthalmologists. Full article

Medical education often emphasizes theoretical knowledge, limiting students’ opportunities to practice history taking, a structured interview that elicits relevant patient information before clinical decision making. Large language models (LLMs) offer novel solutions by generating simulated patient interviews. This study evaluated the educational potential of LLM-generated history-taking dialogues, focusing on clinical validity and diagnostic diversity. Chest pain was chosen as a representative case given its frequent presentation and importance for differential diagnosis. A fine-tuned Gemma-3-27B, specialized for medical interviews, was compared with GPT-4o-mini, a freely accessible LLM, in generating multi-branching history-taking dialogues, with Claude-3.5 Sonnet inferring diagnoses from these dialogues. The dialogues were assessed using a Chest Pain Checklist (CPC) and entropy-based metrics. Gemma-3-27B outperformed GPT-4o-mini, generating significantly more high-quality dialogues (90.7% vs. 76.5%). Gemma-3-27B produced diverse and focused diagnoses, whereas GPT-4o-mini generated broader but less specific patterns. For demographic information, such as age and sex, Gemma-3-27B showed significant shifts in dialogue patterns and diagnoses aligned with real-world epidemiological trends. These findings suggest that LLMs, particularly those fine-tuned for medical tasks, are promising educational tools for generating diverse, clinically valid interview scenarios that enhance clinical reasoning in history taking. Full article