Search Results (6,516)

Students are more likely to disclose their sexual orientation or gender identity with university staff compared to staff in high school or college. For some, higher education (HEI) offers the first opportunity to encounter “out” LGBTQIA+ role models, whose visibility can positively influence both students and colleagues. Rainbow Office Hours is an initiative that offers students a supportive, informal opportunity to engage with LGBTQIA+ staff. At a HEI in southwest England, LGBTQIA+ staff and allies were invited to host Rainbow Office Hours during LGBTQIA+ History Month. This research, using semi-structured interviews, is the first to explore the lived experience of staff hosting Rainbow Office Hours. Findings highlighted the impact on staff identity, professional connectedness, and students, as well the importance of visibility, validation, and allyship. Policy and practice recommendations are offered to strengthen LGBTQIA+ inclusion and address the emotional labour and under-recognised workload of equality, diversity, and inclusion activities that is regularly undertaken by minoritised identities. The research highlights the reciprocal benefits of such initiatives for students and staff, emphasising the need for sustained institutional commitment beyond celebratory months. Full article

Armed conflicts are at the epicentre of an information war, amplified by false claims about the motivations of the conflicts and refugees. The spread of narratives, especially in digital media, challenges the European Union to implement effective strategies to combat misinformation and to adopt measures to scrutinise and hold the main communication channels accountable, in order to prevent hostile narratives from influencing public opinion and political decision-makers. In this context, this article seeks to analyse the implications of media discourses and misinformation in the development of social representations about the Russian–Ukrainian war and refugees, as well as the use of social networks by individuals to share this type of content. The research is based on an exploratory study as part of the R&D Project MeInWar—Study on the media and social representations of the Russian-Ukrainian conflict, funded by Europeia University. The study employed a survey method and an online questionnaire applied to a non-probabilistic convenience sample of 222 individuals aged between 18 and 38. The results revealed that media narratives influence attitudes towards refugees and migration policies, and it is clear that factors such as age and gender have an impact on content-sharing practices and the motivations behind them. Full article

Background/Objectives: Cardiorenal syndrome type 2 (CRS-2) is characterized by progressive renal dysfunction caused by chronic heart failure (HF) and is associated with increased morbidity and mortality. However, the prognostic value of renal biomarkers in patients with CRS-2 hospitalized for decompensated HF remains unclear. Methods: This prospective observational cohort study included 200 consecutive patients hospitalized for decompensated HF in the Intensive Care Unit of the Clinic for Internal Medicine at the University Clinical Centre Tuzla between April and October 2025. CRS-2 was defined as chronic HF with chronic kidney disease persisting for ≥3 months before admission according to KDIGO criteria. Patients were followed for three months. The primary composite outcome was all-cause mortality or initiation of renal replacement therapy. Results: CRS-2 was identified in 130 patients (65.0%) and was associated with higher in-hospital mortality (32.3% vs. 11.4%, p = 0.002) and three-month mortality (44.6% vs. 21.4%, p = 0.002). Within the CRS-2 subgroup, patients who experienced the primary composite outcome had higher admission levels of cystatin C and urinary albumin-to-creatinine ratio (UACR) and lower estimated glomerular filtration rate (eGFR). ROC analysis demonstrated moderate discriminative ability of cystatin C (AUC 0.739) and UACR (AUC 0.733). In Cox regression analysis, cystatin C (HR 1.534, 95% CI 1.263–1.863, p < 0.001) and UACR (HR 1.003, 95% CI 1.001–1.006, p = 0.001) were significantly associated with the primary composite outcome. Conclusions: Renal dysfunction markers, particularly cystatin C and albuminuria, are associated with early adverse outcomes in CRS-2 patients hospitalized for decompensated HF. Routine assessment of these biomarkers may provide additional prognostic information and support risk assessment in this high-risk population. Full article

Coping serves as a protective function in students’ responses to school bullying. Previous studies have proposed several models to explain how victims cope with school bullying, but most of these frameworks were developed in Western contexts. Grounded in these frameworks, this qualitative study explores how victims cope with different developmental stages of school bullying within the Chinese cultural context. Using grounded theory and constant comparative analysis, we analyzed retrospective self-reports from 67 Chinese university students who described bullying experiences from elementary to high school. The analysis identified four key coping categories: emotional response, endurance and avoidance, cognitive reconstruction, and action-oriented resistance. Based on these coping strategies, we developed a Victims’ Coping Strategies Model structured along two axes: engagement–disengagement and a cognitive–emotional to cognitive–behavioral continuum. By capturing the complex interplay of internal and external strategies influenced by Chinese sociocultural norms, the model demonstrates the developmental and context-dependent nature beyond static classifications of coping strategies. The findings contribute to cultural and developmental understandings of victim responses and inform practical implications for intervention. Full article

Diabetic kidney disease (DKD) affects a substantial proportion of individuals with diabetes mellitus and represents the leading cause of end-stage renal disease worldwide. Familial aggregation studies consistently demonstrate that genetic factors contribute significantly to DKD susceptibility beyond metabolic and hemodynamic determinants. The carnosine dipeptidase 1 (CNDP1) gene on chromosome 18q22.3 has emerged as a compelling susceptibility locus, with a trinucleotide (CTG) repeat polymorphism in exon 2 that encodes the Mannheim variant, which has demonstrated protective associations in selected populations. Individuals homozygous for the shorter (CTG)₅ allele exhibit reduced serum carnosinase-1 concentrations and activity, resulting in elevated tissue carnosine levels. Carnosine exerts multiple renoprotective effects, including antioxidant activity, inhibition of advanced glycation end-product formation, and attenuation of profibrotic signaling. Experimental models demonstrate that genetic or pharmacological reduction in carnosinase activity attenuates diabetic kidney injury. Early clinical studies of carnosine supplementation report improvements in albuminuria and oxidative stress markers, though available trials are limited in size, duration, and population scope. Therapeutic targeting of CNDP1 via carnosinase inhibition, therefore, represents a biologically grounded yet still emerging pharmacological strategy. This review synthesizes genetic, molecular, and translational evidence supporting CNDP1 as a model for genetics-informed therapeutic development in DKD, while highlighting important population-specific variation in allele frequencies that constrain universal clinical applicability. Full article

Spatial technologies play a key role in documenting and analyzing landscape components. The Landscape Information Model (LIM), deriving from the Building Information Model (BIM), is a digital representation of a landscape, which should support planning, design, management, and analysis throughout a landscape’s lifecycle. In the literature, the applications of BIM technology in landscape planning focuses on the design and the construction of 3D and 5D LIMs. The aim of this paper is to develop the concept of 7D LIMs for the purposes of managing greenery based on the example of the university campus and model implementation based on BIM-GIS technology. The specific objective is to develop the UML diagrams of the model that would be dedicated to the needs of the unit responsible for maintaining the university’s infrastructure. The source of data was a point cloud obtained by laser scanning, which was then processed to map the terrain, small architectural objects, and infrastructure in the Revit 2024 software. The developed method indicated the value of modern technologies in landscape processes and their potential use in public institutions. The proposed diagrams that describe the semantics of landscape forms and greenery maintenance activities can be developed by adding further ontological aspects of the landscape model. Full article

Adaptive learning at scale requires explicit handling of uncertainty and information flow across diverse educational technologies. This paper proposes a TOGAF-conformant enterprise architecture for the University of Tabuk (UT) that embeds entropy- and uncertainty-aware requirements from the outset and aligns them with institutional goals in teaching, research, and administration. Using the Architecture Development Method (ADM), we map information-theoretic requirements to architectural artifacts across the architecture vision, business, information systems, and technology domains; formally specify core entropy-informed observables, including predictive entropy, expected information gain, workflow variability entropy, and uncertainty hot-spot severity; and define semantic and metadata standards for their near-real-time computation. These indicators are positioned explicitly across the TOGAF domains: business architecture identifies where uncertainty matters, information systems architecture defines the computable data and application representations, technology architecture operationalizes secure and scalable computation, and later ADM phases use the resulting metrics for prioritization and governance. The architecture also establishes governance that ranks initiatives by their expected uncertainty reduction through Architecture Review Board (ARB) decision gates. We address three research questions: (R.Q.1) how to design a TOGAF-conformant architecture for UT that natively encodes uncertainty-aware requirements and aligns with institutional needs; (R.Q.2) how to integrate dispersed data, achieve semantic harmonization, and deliver analytics-ready streams that support information-theoretic indicators for personalization without delay; and (R.Q.3) how to embed IT demand planning in opportunities and solutions and migration planning using uncertainty reduction and expected information gain as prioritization criteria. The resulting architecture offers a university-wide foundation for adaptive learning: it unifies learner and system interaction data under governed schemas, supports low-latency analytics, and formalizes decision processes that treat uncertainty as a primary metric. Though learner-level operational validation is future work, the design establishes the technical and organizational foundations for responsible, large-scale deployment of entropy-driven learner modeling, content sequencing, and feedback optimization. Full article

Background/Objectives: Adequate cardiopulmonary resuscitation (CPR), defibrillation, and treatment of reversible causes are essential for improving the survival of patients suffering from out-of-hospital cardiac arrests (OHCAs). The Advanced Life Support (ALS) algorithm includes reversible causes for cardiac arrest. This study aimed to develop an interactive mobile checklist to identify reversible causes of OHCA (REBECCA) and evaluate their usability and usefulness among emergency physicians. Methods: This mixed-methods study was conducted at the Emergency Medical Service Vienna, Austria. All participants were emergency physicians from the Medical University of Vienna. An interactive mobile checklist was developed using a participatory design approach involving a focus group of 10 emergency physicians. Usability and applicability were assessed using structured questionnaires. Descriptive statistics were used to summarize participant characteristics and evaluation outcomes. Results: Among the included participants, 70% were specialists with a median prehospital experience of 2.0 (1.0–4.3) years. Although most participants were confident about their level of professional experience with OHCA, 85% still found the checklist to be helpful. The majority of the participants preferred the digital checklist over the paper-based checklist and appreciated its integration with the point-of-care ultrasound (POCUS) application. Although the participants did not communicate a significant need for further details on most causes, a small majority favored more information on intoxication and electrolyte disorders. Conclusions: The majority of the included emergency physicians found the REBECCA checklist helpful regardless of training level, whereas almost no physician needed further detailed information on the reversible causes. Our findings underscore the potential importance of future investigations aiming to reduce the cognitive load of emergency physicians during OHCA scenarios. Full article

Rural educators face persistent structural barriers to accessing professional development that supports instructional change, particularly in disciplines such as engineering that require specialized knowledge and resources. This study examines a needs-driven professional development initiative designed to support rural K–12 educators in integrating engineering concepts through a school–university partnership in Southwest Virginia. Using a mixed-methods needs assessment consisting of a regional survey and in-depth interviews with teachers and administrators, we identified key challenges related to professional development access, relevance, and sustainability. These findings informed the design of a two-day professional development workshop grounded in place-based education and teacher pedagogical choice. Results highlight educators’ preferences for contextually relevant, hands-on learning experiences and the importance of ongoing support and professional community-building. While situated in a rural region, the findings have broader implications for professional development policy and practice across diverse educational settings. By explicitly examining how needs assessment findings were translated into professional development design decisions, this study contributes practice-based evidence for creating more equitable and context-responsive professional learning models. Full article

Virtual reality (VR)-based evacuation training provides a safe and immersive environment for participants to experience disaster scenarios. However, existing systems often prioritize the experience itself, leaving the critical stage of reflection—essential for refining and stabilizing evacuation knowledge—under-supported. This study presents a qualitative pilot investigation into an extended reflection support function for a VR-based evacuation training system. Unlike traditional replay functions that only visualize avatar movements, our system synchronizes spatialized environmental sounds and recorded verbal utterances, i.e., voices of the user and non-player characters (NPCs), with the visual replay. A preliminary experiment involving eight university students was conducted to evaluate how these auditory clues influence the reflection-on-action process. Qualitative results indicate that audio clues help participants recall their internal decision-making processes and provide essential context for understanding the actions of others (NPCs). The findings suggest that the integration of auditory information facilitates evacuation knowledge refinement, i.e., the transition from mere experience to the formulation of concrete survival concepts. Although limited by a small sample size, this study highlights the potential of multi-modal reflection support in VR-based evacuation training. Full article

Background/Objectives: The purpose of this article (a comparative analysis of state laws) is to thoroughly examine enacted state-level healthy universal school meals bills to summarize bill content and determine current practices for program implementation and long-term viability, with special attention to the Community Eligibility Provision (CEP). Methods: Bills enacted at the state level, as of 31 December 2025, were located electronically on state legislature websites and subsequently reviewed with rules, regulations, and implementation guidelines. Content analyses were conducted to identify patterns, themes, and key concepts pertaining to healthy universal school meals laws and program implementation guidelines to inform comparison policy analyses. Results: Nine states (California, Colorado, Maine, Massachusetts, Michigan, Minnesota, New Mexico, New York, and Vermont) have healthy universal school meals laws that include mandatory funding provisions for programming. Michigan is the only state that has a non-permanent law. Such laws eliminate requirements to certify individual students for free, reduced-price, or full-price meals based on their household income, and instead allow entire schools and/or school districts to offer all enrolled students no-cost meals. All states are funding healthy universal school meals programming by leveraging existing or new tax revenue to bridge the gap between the cost of school meals and federal meal reimbursements. Conclusions: State laws that leverage the Community Eligibility Provision (CEP) have become a key way to sustain universal school meal programs when federal funding falls short. States that direct resources to high-poverty schools, help districts determine the most accurate Identified Student Percentage, and reduce undercounting through strong direct-certification practices are better positioned to maintain universal meals over time. These strategies strengthen both child health and academic outcomes by ensuring stable access to no-cost, nutritious meals. Full article

In the academic year 2022/2023, an orientation course addressed to high school students was proposed at Politecnico di Milano. The course was conducted using active methodologies referring to the Problem-Based Learning pedagogical framework. Most of the time was dedicated to an open-ended style physics laboratory in which students worked in small groups exploring different areas of physics. The main aim of the course was to foster science self-efficacy and motivation, in order to enable students to prepare themselves for passing the test required to enrol in any engineering programme at Politecnico di Milano University. To investigate the effectiveness of the course, a statistical analysis of students’ attendance and students’ results on the test was performed. The results of the analysis show that students who attended the course had a slightly better improvement in their test scores compared to those who did not attend. The impact of the course seems to be more effective for female students. The results confirm the validity of active and open-ended activities to increase scholastic performance and to enable students in autonomous preparation. Using these strategies in an orientation course can help students make more informed choices about the university pathway best suited to them, thereby reducing issues related to student dropout. Full article

Background and Objectives: Self-medication and inappropriate use of non-steroidal anti-inflammatory drugs (NSAIDs) and antibiotics are major public health concerns, particularly in settings with variable access to healthcare. Understanding patterns of medication use and renal risk perception can inform targeted interventions. This study examined NSAID and antibiotic use, self-medication behaviors, and renal risk awareness among Romanian primary care patients, with attention to urban–rural differences. Materials and Methods: A cross-sectional survey was conducted among 201 primary care patients (101 rural, 100 urban). Data on NSAID and antibiotic use, self-medication practices, sources of recommendation, and renal risk perception were collected using a study-specific questionnaire. Multivariable logistic regression was applied to identify predictors of frequent NSAID use, inappropriate antibiotic use, self-medication frequency, and high perceived renal risk. Results: NSAID use was nearly universal (95%), with frequent use strongly associated with non-professional recommendations. Antibiotic misuse was more common in rural participants and largely driven by informal acquisition. Self-medication patterns differed by residence: rural participants reported system- or access-related reasons and reliance on non-professional sources, while urban participants engaged in frequent, convenience-driven self-medication. Although most participants were aware of potential renal harm, this did not consistently lead to safer behaviors. Higher educational level and trust in healthcare professionals predicted increased perceived renal risk, whereas rural residence was associated with lower risk perception. Conclusions: Medication misuse is influenced more by recommendation sources, access barriers, and trusted information pathways than by knowledge alone. Interventions should focus on improving professional guidance, addressing informal recommendation networks, and tailoring strategies to urban–rural contexts. Full article

This study identifies motivational profiles among high school students regarding access to the University of Guanajuato, Yuriria Campus, within the framework of Sustainable Development Goal 4 (SDG 4). Using a survey of 306 students from diverse public and private institutions in southern Guanajuato, we applied K-means clustering analysis with validation techniques (elbow method, silhouette, bootstrap) to examine five key dimensions: family support, university interest, academic perception, transport accessibility, and self-efficacy. The analysis revealed three distinct profiles: (1) “Privileged and committed” (21%), with high scores in all variables and predominantly from private schools; (2) “Supported but not captivated” (65%), with moderate resources but low specific interest in the institution; and (3) “Vulnerable and disconnected” (14%), facing multiple barriers including low family support, economic constraints, and rural origin. ANOVA confirmed significant differences between clusters (p < 0.001). The inclusion of socioeconomic variables allowed for a deeper characterization of equity gaps. These findings provide evidence-based insights for designing targeted recruitment and retention strategies aligned with SDG 4, demonstrating how educational data analytics can inform sustainable higher education policies in regional contexts. Full article

How does the complex, adaptive, and autonomous organization of life emerge from the laws of physics and information? This review argues that the answer lies in a convergent set of universal organizational principles that constitute a physical and informational grammar of the living. Living systems are dissipative structures that achieve organizational closure—materially and energetically open, yet causally closed—thereby attaining genuine autonomy and agency. Their architecture exhibits fractal and modular scaling laws that maximize energy flow, robustness, and evolvability under universal physical constraints. Critically, organisms operate at critical transitions—zones of controlled instability where fluctuations amplify information processing, transforming noise into adaptive signal. This self-organized criticality enables functional degeneracy, relational redundancy, and evolutionary antifragility. Cognition emerges as a distributed process of active inference, operating through a predictive–corrective cycle that integrates perception, action, and learning under the Free Energy Principle. From molecular networks to ecosystems, the same physico-informational grammars unfold recursively, revealing a deep organizational holography: the principles of organization are replicated across scales. Evolution under the Law of Increasing Functional Information is not random drift, but a directional expansion of functional complexity—a thermodynamic gradient towards greater agency. This synthesis challenges biological exceptionalism: the trajectory from thermodynamics to cognition is continuous, physically constrained, and potentially inevitable. Life does not violate physical laws—it fulfills them in regimes of high informational complexity, instantiating fundamental principles in self-organized architectures capable of prediction, memory, and purpose. The objective of this work is to articulate how the synthesis of these principles not only unifies physics and biology, but also illuminates the profound continuity between thermodynamics, chemistry, informational constraints, organization, and the mind. Full article