Search Results (19,076)

Individuals with developmental disabilities often experience physical and mental chronic conditions from early childhood, which can negatively affect their education, employment, and social participation without appropriate interventions. These impairments frequently limit the acquisition of essential daily living skills, including personal hygiene skills. This study examined a multicomponent intervention package—comprising video prompting, step-by-step instruction based on task analysis, systematic error correction, and reinforcement—to support the acquisition of handwashing skills for two adolescents with developmental disabilities (Autism Spectrum Disorder and Intellectual Disability) and toothbrushing skills for one adolescent. A nonconcurrent multiple-baseline design across participants and skills was employed, including baseline, intervention, maintenance, and generalization phases. The intervention was conducted over eight weeks. The results indicated low and stable baseline performance for both participants, followed by a systematic increase in performance after the introduction of the intervention, reaching accuracy levels between 80% and 91%. Participants demonstrated meaningful improvements in hygiene skill performance following intervention. These gains were maintained over time and generalized to new settings, although a few task steps continued to require prompting. Furthermore, teachers and parents rated the intervention as highly feasible, practical, and useful for supporting hygiene skills, while students reported enjoyment, perceived improvement, and willingness to participate again. Overall, the findings suggest that structured, evidence-based instructional approaches may support increased functional participation in essential daily living skills, particularly when complete independence may not be attainable for all individuals. Full article

Conjugate heat transfer in non-Newtonian fluids is a fundamental phenomenon in thermal management systems. This study investigates the combined effects of magnetic field topology, heat absorption/generation, the thermal conductivity ratio, enclosure inclination, and power-law rheology using the lattice Boltzmann method. The parametric analysis shows that increasing the heat generation coefficient from −5 to +5 reduces the average Nusselt number by up to 97% for the pseudo-plastic fluids and up to 29% for the Newtonian fluids, while entropy generation increases by 44–86% depending on the thermal conductivity ratio. Increasing the inclination angle from 0° to 90° weakens convection and reduces heat transfer by nearly 77%. Magnetic field strengthening (Ha = 0–45) decreases the Nusselt number by 20–55% depending on the barrier temperature. Among all tested conditions, the highest thermal performance (maximum heat transfer and minimum entropy generation) occurs when using a pseudo-plastic fluid (n = 0.75), exhibiting high wall conductivity (TCR = 50) and heat absorption (HAPC = −5), a cold obstacle (θ_b = 0), and zero inclination (λ = 0°), as well as in the absence of the magnetic field effects. These quantitative insights highlight the controllability of the conjugate heat transfer and irreversibility in the power-law fluids under coupled magnetothermal conditions. Full article

Drought poses a severe threat to grassland biodiversity and ecosystem function. However, quantitative frameworks that capture the interactive effects of drought intensity and duration on productivity remain scarce, limiting impact assessment accuracy. To bridge this gap, we developed and validated a novel hybrid modeling framework to quantify drought impacts on net primary productivity (NPP) across Inner Mongolia’s major grasslands (1961–2012). Drought was characterized using the Standardized Precipitation Index (SPI), and ecosystem productivity was simulated with the Biome-BGC model. Our core innovation is the hybrid model, which integrates linear and nonlinear components to explicitly capture the compounded, nonlinear influence of combined drought intensity and duration. This represents a significant advance over conventional single-perspective approaches. Key results demonstrate that the hybrid model substantially outperforms linear and nonlinear models alone, yielding highly significant regression equations for all grassland types (meadow, typical, desert; all p < 0.001). Independent validation confirmed its robustness and high predictive skill (NSE ≈ 0.868, RMSE = 20.09 gC/m²/yr). The analysis reveals two critical findings: (1) drought duration is a stronger driver of productivity decline than instantaneous intensity, and (2) desert grasslands are the most vulnerable, followed by typical and meadow grasslands. The hybrid model serves as a practical tool for estimating site-specific productivity loss, directly informing grassland management priorities, adaptive grazing strategies, and early-warning system design. Beyond immediate applications, this framework provides a transferable methodology for assessing drought-induced vulnerability in biodiverse ecosystems, supporting conservation and climate-adaptive management. Full article

Language Assessment Literacy (LAL) is critical for teachers to perform their assessment tasks, but many teachers in low-resource contexts do not receive adequate assessment training. This qualitative multiple-case study examined the impact of a short-term Professional Development (PD) program on three in-service English as a Foreign Language (EFL) teachers in developing their LAL and in shaping their assessment conceptions, knowledge and practices as assessors. The PD training program consisted of a 30 h workshop delivered over one week and integrated theory, practice, collaborative learning, reflection, and feedback. Data collection instruments included classroom observations and interviews. Findings showed that the PD program improved teachers’ LAL by developing their assessment conceptions, knowledge, skills, and confidence, although the degree of improvement varied across participants. The findings also identified challenges teachers encountered in their assessment practices, including limited time, large class sizes, insufficient resources, and sociocultural factors that constrained teachers’ assessment conceptions and restricted their LAL development. The findings showed that PD programs could strengthen teachers’ professional identity as assessors by incorporating relevant content, practice opportunities, feedback, a supportive learning community, and self-reflection. The study findings have broader implications for professional development of LAL in other low-resource and exam-oriented EFL contexts with strong sociocultural constraints. Full article

Technological innovation in commercial Remotely Piloted Aircraft Systems (RPASs) is advancing rapidly. However, their operational efficiency remains limited by the need for on-site skilled human operators. Semi-autonomous drone-in-a-box (DIAB) systems are emerging as a practical solution, enabling automated, repeatable missions for applications such as construction site monitoring, security, and critical infrastructure inspection. Beyond industry, these systems hold significant promise for scientific research, particularly in long-term environmental monitoring where cost, accessibility, and safety are critical factors. In this technology demonstration, we detail the system implementation, discuss flight-planning challenges, and assess the overall feasibility of deploying a DJI Dock 2 DIAB system for remote monitoring of the Miles Ridge landslide in the Yukon Territory, Canada. The system was installed approximately 2.5 km from the landslide and operated remotely from across the country in Montreal, QC, about 4000 km away. A total of five datasets were acquired from July to September 2025, enabling three-dimensional reconstruction of the landslide surface from each acquisition. A comparison of extracted cross-sections demonstrated high reproducibility and accurate co-registration across acquisitions. This study highlights the potential of DIAB systems to support reliable, low-maintenance monitoring of remote landslides. Full article

Background: Chronic obstructive pulmonary disease (COPD) increasingly strains European health systems amid population ageing. Digital health interventions (DHIs) can reduce hospitalizations and support self-management, yet older patients hesitate to adopt them. Tailored interventions require understanding patient profiles. This study aimed to identify clusters by intention to use DHIs. Methods: Between July 2024 and February 2025, 232 COPD patients (mean age 65; 61% female) across seven European countries completed surveys covering sociodemographic and Unified Theory of Technology Acceptance (UTAUT) constructs. Intention to use DHIs was categorized as positive, neutral, or negative. Weighted UTAUT scores were clustered using Gower distance and Partitioning Around Medoids. Associations were visualized with multiple correspondence analysis and heat maps; differences were tested with the chi-square test. Results: Intention to adopt DHIs varied across countries, with the highest in the Netherlands. Two clusters emerged. Cluster 1, the ‘balanced hesitant’ group (n = 104), showed mixed intentions (38% positive, 40% neutral, 21% negative). Barriers included low performance expectancy and limited digital skills (both p < 0.05). Cluster 2, the ‘enthusiastic’ group (n = 128), demonstrated strong adoption intentions, with 84% positive intention. Enablers included low effort expectancy and complex disease (p < 0.01). Across both clusters, performance expectancy predicted intention. Conclusions: Digital health adoption among COPD patients is shaped by psychosocial and digital skill profiles. Hesitant users benefit from expectation-based information about DHIs, digital literacy training and peer support. Enthusiasts require ease of integration. Performance expectancy is a consistent driver of adoption, whereas country-specific factors should guide strategies. Full article

The performance of New Zealand’s construction companies depends on the adaptability and skills of their workforce. The soft skills of the company’s building professionals are thought to contribute to the delivery of successful construction projects. This pilot study captures the perceptions of the importance of critical soft skills in semi-structured interviews with thirteen Quantity Surveyors (QSs) and fourteen Project Managers (PMs) working in New Zealand. For both cohorts the most important skill is communication, followed by workplace ethics. An exploratory Mann–Whitney U comparison suggests a difference in their ranking of emotional intelligence in interactions with other stakeholders, with PM deeming it more important than QS. Within-cohort Spearman rank correlation shows different patterns of association among soft-skill clusters for QS and PM, offering contextual insight rather than confirmatory inference. After communication and ethics, QS prioritise dispute resolution while PM value project reasoning. A combination of individual traits and practical experience influences the successful transition from a QS role to the broader PM role. The findings are limited by the small sample size but may be useful in professional development courses and recruitment efforts, contributing to a more adaptable and flexible construction workforce. Full article

Background: Metabolically associated fatty liver disease (MASLD) constitutes a major burden. Glucagon-like peptide-1 agonists (GLP-1) could improve hepatic steatosis as well as weight loss. However, the effect of GLP-1 agonists on patients with and without diabetes and the effect of newer drugs (dual and triple agonists) are unclear. Objective: To investigate the effect of GLP-1 agonists, including dual and triple agonists, in patients with metabolic-associated liver steatosis and steatohepatitis, while exploring their effect on patients with and without type 2 diabetes. Methods: We searched PubMed, Scopus, and Web of Science in October 2025 for randomized parallel controlled trials that investigated the effect of GLP-1 agonists in patients with MASLD or metabolic-associated steatohepatitis (MASH). We assessed the quality of the included studies using Cochrane ROB2. We performed the analysis using RevMan 5.4. We performed subgroup analysis based on the status of diabetes, the control group, and the class of GLP-1 agonist (single, dual, or triple). Results: We included twenty studies. Compared to the control group, GLP-1 agonists were associated with a statistically significant increase in the resolution of MASH without worsening fibrosis (RR 3.03, p < 0.0001) and at least one stage of liver fibrosis without the worsening of MASH compared to the control group (RR: 1.45, p < 0.00001). GLP-1 agonists were associated with a statistically significant weight reduction (SMD −1.11, p < 0.0001), glycosylated hemoglobin (SMD −0.81, p < 0.00001), levels of aspartate aminotransferase (SMD −0.48, p = 0.008), and alanine aminotransferase (SMD −0.54, p = 0.008). However, in patients without type 2 diabetes, GLP-1 agonists had no significant effect on weight loss (SMD −0.97, p = 0.12) or improvement in fibrosis (RR 1.54, p = 0.24). There was a statistically significant increase in the overall adverse events (RR 1.10, p < 0.00001), while there was no significant difference in serious adverse events (p = 0.35). Conclusions: GLP-1 agonists improved liver fibrosis, steatohepatitis, weight loss, HbA1c, and liver enzymes in patients with MASLD or MASH. Overall, GLP-1 agonists were associated with a significantly higher risk of adverse events compared to the control, while serious adverse events were comparable between both groups. There was no significant effect on weight loss or improvement in fibrosis in patients without type 2 diabetes. However, there was a limited number of studies in this population. Thus, further research is needed before recommendations can be made for this subgroup. Full article

This study employed tree-based machine learning (ML) algorithms to predict low-level wind shear (LLWS) at Jeju International Airport (ICAO: RKPC). Hourly meteorological data from 47 observation stations across Jeju Island, collected between 2019 and 2023, were split into training (60%), validation (20%), and test (20%) sets to develop individual prediction models for lead times ranging from 1 to 6 h. A probabilistic prediction model was developed by assigning weights to individual models according to their true skill statistic performance. Validation using an independent 2024 dataset showed that the light gradient boosting machine-based probabilistic model exhibited the highest predictive performance, achieving an area under the receiver operating characteristic curve of 0.883. The Shapley additive explanation analysis identified wind components (U, V) as key variables, contributing over 50%, with the significance of pressure and temperature slightly increasing over long-term prediction times (4–6 h). In addition, spatial analysis revealed that nearby airport stations were more influential for short-term prediction times (1–2 h), whereas Mount Halla and offshore stations north of the airport gained greater influence for medium-to long-term prediction times (3–6 h). The ML-based LLWS prediction model offers high accuracy and interpretability, supporting stepwise warning systems and aiding aviation decision-making. Full article

Artificial Intelligence (AI) has increasingly contributed to advancements in pharmaceutical practice, particularly by enhancing the pharmacist–patient relationship and improving medication adherence. This quantitative, descriptive, cross-sectional study investigated Eastern Romanian pharmacists’ perception of AI-based applications as effective optimization tools, correlating it with disruptive communication factors. An anonymous and online questionnaire was distributed to community pharmacists, examining sociodemographic characteristics, awareness of disruptive factors, and the perceived usefulness of AI. The sample included 437 respondents: pharmacists (55.6%), mostly female (83.8%), and aged between 25 and 44 (52.6%). Data analysis involved descriptive statistics and independent t-tests. The statistical analysis revealed a significantly positive perception (p < 0.001) of AI on pharmacist–patient communication. Respondents viewed AI as a valuable tool for reducing medication errors and optimizing counseling time, though they maintain a strong emphasis on genuine human interaction. Significant correlations were found between disruptive factors—such as noise and high patient volume—and the quality of communication. Participants also expressed an increased interest in applications like automatic prescription scheduling and the use of chatbots. The study concludes that a balanced implementation of AI technologies is necessary, one that runs parallel with the continuous development of pharmacists’ communication skills. Future research should focus on validating AI’s impact on clinical outcomes and establishing clear ethical guidelines regarding the use of patient data. Full article

Background: Effective communication is a fundamental competency in veterinary medicine that shapes the quality of veterinarian–client relationships, shared decision-making, and animal welfare. However, consistent and systematic integration of communication training across veterinary curricula remains uneven worldwide. Methods: This scoping review mapped and analyzed educational programs aimed at developing communication competencies in veterinary education and professional practices. A systematic search was conducted according to PRISMA-ScR guidelines, identifying 37 eligible studies published between 2005 and 2024. Results: Most publications were in English and originated from North America, particularly Canada (n = 15) and the United States (n = 8). Regarding target populations, 15 studies (40.5%) focused on veterinary students, 12 (32.4%) on practicing veterinarians, 8 (21.6%) on animal owners or clients, and 2 on veterinary educators. 18 studies (48.7%) described structured programs that used active learning strategies such as role-play, clinical simulations, peer-assisted learning, and formative feedback. The competencies frequently emphasized include empathy, active listening, nonverbal communication, conflict resolution, and rapport building. Notable best practices included the Calgary–Cambridge model, Objective Structured Clinical Examination (OSCE), and reflective video analysis. Conclusions: The available evidence indicates a growing emphasis on clinical communication within veterinary education, primarily implemented through experiential and practice-based approaches. However, substantial gaps persist in the representation of Latin American contexts and in the systematic, longitudinal integration of communication skills across veterinary curricula. Addressing these gaps may contribute to more coherent, equitable, and context-sensitive communication training in veterinary education. Full article

Ozone (O₃) is a reactive oxidant increasingly applied in biomedical settings, yet its dose-dependent effects on innate immune cells, particularly those from non-human species, remain insufficiently defined. Within a One Health framework, this study examined how two clinically relevant O₃ exposure regimens (30 µg/mL and 90 µg/mL) affect porcine neutrophils and monocytes isolated from peripheral blood. Cell viability, reactive oxygen and nitrogen species (RONS) production, and the activity of key enzymes (myeloperoxidase, elastase, alkaline phosphatase, arginase) were assessed at 1 h and 24 h post-exposure. The lower dose induced mild functional activation without compromising viability, whereas the higher dose triggered pronounced oxidative stress, enhanced degranulation, and reduced neutrophil viability by more than 60%. Neutrophils exhibited a stronger and more dynamic response than monocytes, which retained viability and differentiation capacity at 30 µg/mL but showed impaired function at 90 µg/mL. These findings highlight the dual nature of O₃, where controlled exposure may support immunomodulation, while excessive dosing disrupts cell function. Defining safe and effective therapeutic windows remains critical for future applications. Full article

The present longitudinal retrospective study examined in a sample of 123 Greek-speaking children whether the raw score growth in a broad range of oral language and reading skills from Grade 1 to Grade 3 differs among children with persistent reading comprehension difficulties (pRCD; N = 49) identified in Grade 3, those exhibiting a resolving tendency of RCD (rRCD; N = 16), and typically developing (TD; N = 58) children. Children were classified into the respective groups, based on their performance on standardized reading comprehension measures in Grades 1, 2, and 3. They were, also, assessed on phonological awareness, rapid automatized naming (RAN), morphological awareness, vocabulary, word reading accuracy, word reading fluency, and text-reading fluency across the three Grades. Mixed ANOVAs showed that children with pRCD displayed slower growth in morphological awareness, word reading fluency, and text-reading fluency than the other two groups. Children with rRCD did not differ from TD children on these measures, but they exhibited a higher growth on RAN. Both groups of children with RCD outperformed TD children on the growth of phonological awareness and word reading accuracy, whereas no group differences revealed in vocabulary. Our results suggest that more rapid gains in morphological awareness, RAN, word reading fluency, and text-reading fluency over time might be associated with a resolving tendency of reading comprehension difficulties, providing valuable insights for intervention policy. Full article

Background: This study examines whether participation in STEAM-based educational activities is associated with improvements in executive functions (EFs) and cognitive skills in children with Attention Deficit Hyperactivity Disorder (ADHD). Methods: A total of 60 children diagnosed with ADHD (mean age = 8 years) participated, with 30 following a traditional educational approach and 30 engaged in STEAM-based activities. Executive functions and cognitive abilities were assessed using standardized instruments (BRIEF, WISC-V, CARAS-R), and data were analyzed with IBM SPSS Statistics 25. Results: Children in the STEAM group outperformed the control group across several domains, showing statistically significant gains in inhibition, planning and organization, verbal comprehension, visuospatial skills, processing speed, total IQ, efficiency, and the Impulsivity Control Index (ICI). Conclusions: These findings suggest that STEAM-based educational experiences may support neurodevelopmental growth and enhance cognitive and executive functioning in children with ADHD, although causal inferences cannot be drawn due to the cross-sectional design. Full article

Self-determination and self-advocacy are critical components of quality of life, and the instruction of these skills continues to emerge as an important outcome for Disabled people, specifically people with intellectual disability (ID). The purpose of this scoping review examined the perspectives of adults with ID and the experienced barriers when self-advocating, making choices, and goal setting. This scoping review searched multiple databases for empirical research, which collected the perspective of people with intellectual disability and what they identified as barriers to self-advocacy. Results included 30 articles with an international perspective available within the English language. The authors utilized Bronfenbrenner’s process–person–context–time (PPCT) model to identify how these barriers are experienced in various relationships and environments and throughout time. The barriers identified fell into the various aspects of the PPCT model. Understanding these barriers provides insights into ways to begin to dismantle them, and this review details recommendations for research, policy, and practices. Full article