Search Results (12,455)

Environmental sustainability has become an increasingly important concern within education systems worldwide, yet many initiatives remain centred on knowledge transmission rather than the everyday practices through which environmental responsibility is learned. This study examines Indonesian nature schools (Sekolah Alam), defined here as alternative schools that integrate the national curriculum with outdoor, experiential, character-based, and community-oriented environmental learning. Using a qualitative multi-case study of three schools in an urban and peri-urban Indonesian context, we interviewed 24 stakeholders, including principals, vice principals, teachers, and parents, to examine how ecological responsibility is understood, enacted, and perceived across school communities. Thematic analysis identified six interrelated dimensions: green education philosophy, experiential learning, ecological character formation, institutional support, community engagement, and perceived behavioural outcomes. The findings suggest that ecological responsibility is not produced by a single lesson or programme, but is perceived by stakeholders as emerging through mutually reinforcing institutional, pedagogical, and social practices. School leaders establish enabling conditions, teachers translate environmental values into daily experiential learning, and parents report reinforcing these practices in household contexts. The study contributes a socio-institutional framework for understanding environmental education as an embedded school cultures, while also acknowledging that claims about behavioural change are based on stakeholder perceptions rather than direct observation of students. Full article

Against the backdrop of China’s vigorous promotion of rural revitalization, traditional villages have become important carriers of rural tourism; however, their tourism development potential varies significantly. Using 182 traditional villages in Shexian County, Anhui Province, as the study area, this paper integrates multi-source data, including remote sensing, socio-economic, and online data. It constructs an evaluation index system from three dimensions: resource endowment, socio-economic conditions, and natural environment. Three machine learning models, namely, Random Forest (RF), XGBoost, and LightGBM, are employed to measure tourism development potential, and the optimal model is selected through comparative analysis. On this basis, the SHAP method is introduced to interpret the influencing factors and reveal the direction and mechanisms of their effects. The results show that (1) the LightGBM model performs best and is more suitable for evaluating tourism development potential of traditional villages; (2) service facilities, land resources, and transportation conditions are the most important influencing factors, while cultural resources and online attention also play significant roles; (3) the effects of different factors exhibit obvious nonlinear characteristics with interaction effects; and (4) the spatial pattern of tourism development potential presents a structure of “core agglomeration–transitional distribution–peripheral dispersion”. From the perspective of multi-source data and explainable machine learning, this study provides a systematic analysis of tourism development potential in traditional villages and offers a scientific reference for their differentiated development and conservation. Full article

The first six contributions considered in this Editorial provide a coherent view of the modern laboratory as an integrated system of safety governance, digital education, measurement confidence, diagnostic implementation, and clinical quality assurance. The papers considered here address occupational hygiene and health monitoring in university laboratories, the predictive modeling of chemical exposure risks among cleaning staff, the design of an immersive virtual reality laboratory for multidisciplinary student experiences, the evolving concept of measurement uncertainty in accredited laboratories, the field implementation of a near point-of-care HIV drug-resistance assay in Kenya, and the optimization of embryo culture conditions in IVF laboratories. Although these studies span different fields, they converge on a common message: laboratory excellence depends not only on instruments and protocols but also on human factors, training, exposure control, usability, uncertainty management, and translation into real-world decisions. This Editorial synthesizes these contributions and identifies future priorities for Laboratories as a forum for interdisciplinary laboratory science and practice. Full article

Respiratory disease remains a major challenge in pig production. This two-room pilot study evaluated whether room-level acoustic monitoring combined with physiological measurements could provide an early warning after an experimental Klebsiella pneumoniae challenge. Forty growing pigs balanced by sex and body weight were housed for 28 days in one control room and one challenged room (20 pigs/room; four pens/room). Challenged pigs were intranasally inoculated on days 8, 12, 16, and 20 with a culture whose dose was retrospectively verified by serial-dilution plating. Nasal and fecal samples were cultured on Klebsiella ChromoSelect agar, and colonies with expected morphology were enumerated as presumptive Klebsiella/K. pneumoniae colonies. A fine-tuned Audio Spectrogram Transformer (AST) classified five sound classes from facility-specific audio and was evaluated by group-blocked hold-out testing, five-fold group-blocked cross-validation, temporal deployment validation, and window-threshold sensitivity analysis. The model achieved hold-out macro-F1 of 0.947, five-fold macro-F1 of 0.928 ± 0.019, and 24 h deployment macro-F1 of 0.914. Presumptive nasal bacterial load was higher in challenged pigs at 1-week post-inoculation (log₁₀ 4.03 vs. 0.67). Group-size-standardized cough detections were also higher in the challenged room (54.84 vs. 36.80 detections/day), and daily coughing first exceeded the baseline threshold on day 8. Thresholds of 0.764 (control) and 1.115 (treatment) were obtained from an integrated score that included coughing, sneezing, ear temperatures, rectal temperature, and respiration rate; the treatment score and treatment–control contrast score first surpassed the threshold on day 8, and daily multimodal scores varied between groups (t = −6.636, p < 0.001). Integrated score improved discrimination of post-inoculation disturbance compared with cough detections alone (leave-one-day-out AUROC: 0.94 vs. 0.88). Because each condition was represented by one room, findings are exploratory temporal contrasts, not replicated treatment effects or a stand-alone diagnostic test. Full article

Foodborne pathogens pose a major challenge for public health, food safety regulation, and industrial quality control. Effective surveillance, outbreak tracing, and early warning for foodborne microbial contamination require rapid, reliable detection methods. Conventional culture-based methods are still essential for regulatory confirmation since they recover viable isolates and support downstream verification. However, their long turnaround time, labor-intensive procedures, and limited throughput restrict their use in rapid screening and on-site testing. In recent years, immunological assays, nucleic acid amplification and recognition methods, biosensors, microfluidic systems, CRISPR-Cas platforms, mass spectrometry, sequencing technologies, and artificial intelligence-assisted analysis have expanded the detection toolbox. These methods improve speed, sensitivity, portability, and multiplexing capacity, but their performance still depends on food-matrix properties, sample pretreatment, and application conditions. This review compares representative methods in terms of analytical principle, sample pretreatment, sensitivity, specificity, assay time, viable-cell discrimination, field applicability, and standardization potential. In our opinion, culture-based methods are central for confirmation, while emerging technologies are better suited for rapid screening, integrated analysis, and point-of-need testing. Nevertheless, matrix interference, limited validation in naturally contaminated samples, insufficient viable/dead-cell discrimination, and weak cross-platform consistency remain key barriers to routine use. Full article

Indigenous students continue to experience persistent educational inequities shaped by colonial histories, assimilationist schooling structures, and the marginalization of Indigenous knowledge systems. Although social–emotional learning (SEL) is widely promoted as foundational to student well-being and academic success, dominant SEL frameworks often reflect Eurocentric assumptions that overlook Indigenous understandings of relationality, land, identity, healing, and collective responsibility. In alignment with Sustainable Development Goal 4 (SDG 4), this study examines how SEL and teacher professional development can be reimagined through Indigenous and Local Knowledge (ILK). Using a qualitative collaborative ethnographic design integrated with a structured literature synthesis, the study drew on two years of community-engaged research involving collaborative focus group dialogues, community interactions, and sustained relational engagement with Native teachers, Elders, cultural leaders, and community practitioners (N = 20). Thematic analysis revealed five interrelated themes: culturally grounded SEL frameworks, structural barriers and equity-driven strategies, culture as prevention and healing, schoolwide conditions that sustain belonging and identity, and alignment between Indigenous-centered SEL and SDG 4. Findings highlight the importance of cultural identity, ceremony, storytelling, Elder mentorship, talking circles, land-based learning, relational accountability, and community partnerships in supporting meaningful SEL. The findings also reveal tensions between Indigenous relational approaches to SEL and dominant educational systems shaped by standardization, accountability pressures, and assimilationist schooling structures. The study advances a conceptual model showing how Indigenous-centered SEL, mediated through relational teacher professional development, can support culturally sustaining, healing-centered, equity-oriented, and sovereignty-affirming educational outcomes aligned with SDG 4. In addition to contributing to SEL scholarship, the study offers implications for teacher education, educational policy, and school leadership seeking to advance culturally sustaining and community-responsive educational systems. Full article

The Ijen UNESCO Global Geopark exhibits high geological diversity, recording a transition from Tertiary volcanism to active Quaternary volcanic systems and associated carbonate–karst development; however, geotourism remains predominantly site-based, limiting spatial integration and thematic continuity. This study aims to identify and structure geotrail routes by integrating geological setting, site diversity, and spatial relationships. The methodology applies a sequential framework comprising geological review, site inventory (geosites, biosites, and cultural sites), site characterization, accessibility and clustering analysis, route delineation, and SWOT-based evaluation. The results define five geotrail routes reflecting the geological evolution of the region, with spatial distribution characterized by older volcanic systems in the southern sector, Quaternary volcanism in the northern sector, and carbonate units in the eastern sector. Despite coherent geological relationships among sites, connectivity remains limited due to accessibility constraints and lack of integrated management. SWOT analysis indicates near-balanced internal factors (−0.0047) and externally constrained conditions (−0.5584), placing development in a defensive position. These findings indicate that the main limitation is the lack of spatial and interpretative integration rather than geological diversity. The study provides a systematic framework linking geological evolution to geotrail design to support integrated geotourism development. Full article

The circadian clock is a widespread rhythmic phenomenon across organisms, characterized by distinct gene expression patterns and behaviors at specific times of the day. Extensive genetic studies in the model fungus Neurospora crassa have yielded critical insights into the components and molecular mechanisms of circadian oscillators. However, these understandings remain absent across fungal lineages, especially from edible mushrooms. Morels (Morchella spp.) are well-recognized edible ascomycetes of considerable economic value and are partially artificially cultivated, but their biological characteristics are poorly understood. Investigating the presence of their circadian clock components, as well as the molecular underpinnings of circadian rhythms, holds important biological implications. In this study, we firstly performed a genomic search for homologs of known circadian clock genes in Morchella sextelata. Homologs of seven circadian clock genes, including wc-1, wc-2, fwd-1, frh, frq, and two additional clock-controlled genes, were identified, indicating the components necessary for the operation of a FWC oscillator contained in M. sextelata. Then, using reverse transcription quantitative PCR (RT-qPCR), the expression profiles of these seven circadian clock-related genes and four mating-type genes were examined in RNA samples which were extracted from mycelia of MAT1-1, MAT1-2 and MAT1-1 × MAT1-2 co-culture/crossed condition during conidiation under in vitro cultivation across one day. The expression levels of seven circadian clock genes and four mating-type genes displayed similar time-of-day-specific rhythmic patterns, yet remained consistently distinct across the mating-type strains and their co-culture/crossed condition, indicating a potential correlation between circadian clock and mating-type loci. Collectively, these results suggest that M. sextelata harbors conserved circadian clock-related homologs and displays mating-type-associated temporal expression differences under the tested conidiation conditions, offering a novel perspective for exploring the potential link between clock-related regulation and mating-type background in the future. Full article

The detection and degradation analysis of subsurface microcracks in mural paintings remain challenging due to their inhomogeneous multilayered structure and complex deterioration mechanisms. In this study, we propose a multimodal stepwise method for three-dimensional characterization and cross-scale degradation analysis by integrating digital holography (DH), infrared thermography (IRT), acoustic excitation (AE), and molecular dynamics (MD) simulations. In the first step, an adjustable field-of-view (FOV) digital holographic system is developed to capture subsurface deformation under acoustic excitation, enabling high-resolution planar characterization of subsurface microcracks. Infrared thermography is then employed to estimate crack depth through an inverse thermal model, achieving full three-dimensional reconstruction of crack geometry. Based on the reconstructed structures, MD simulations are conducted to investigate the evolution of stress, bond breaking, and crack propagation under varying temperature and humidity conditions, with particular emphasis on water molecule migration and chemically induced degradation. The results demonstrate that environmental factors promote stress concentration and material embrittlement at crack tips, leading to secondary microcrack formation and progressive deterioration. Experimental aging tests show strong agreement with simulation results, validating the proposed methodology. This work establishes a unified “characterization–simulation–validation” paradigm, providing new insights into the mechanisms of mural degradation and offering a robust framework for non-destructive evaluation and preventive conservation of multilayer cultural heritage materials. Full article

The core objective of the concentrated and contiguous protection of traditional villages is to achieve the large-scale preservation and sustainable development of cultural heritage. Elucidating their spatial distribution characteristics and the underlying driving mechanisms serves as a fundamental prerequisite for the effective implementation of conservation practices. Using Geographic Information Systems (GIS) and the optimal parameter-based geographical detector (OPGD) model, this study quantitatively analyzes the spatial distribution and formation mechanisms of traditional villages in southern Shanxi. The results indicate that traditional villages in southern Shanxi exhibit a “one belt, three cores” spatial agglomeration pattern. This pattern emerges from the nonlinear coupling of multiple factors, including natural environment, socio-economic conditions, and historical and cultural elements, among which historical and cultural factors serve as the most prominent driver. The factor detection q-value for cultural heritage density (X18) reached 0.45, and it exhibited a significant synergistic enhancement effect with natural environmental and socio-economic factors. Interaction detection reveals that the explanatory powers of bivariate interactions are generally stronger than that of individual factors, with the synergistic effect between slope (X4) and annual mean temperature (X9) being the most pronounced (q = 0.56). Based on these findings and emphasizing the pivotal role of historical and cultural factors, this study proposes a four-dimensional collaborative governance framework—“cultural leadership, spatial support, institutional safeguards, and social synergy”. This framework aims to provide theoretical foundations and practical pathways for the concentrated and contiguous protection of traditional villages in intra-provincial cultural regions. Full article

This study investigates whether spa settlements can be analytically interpreted through a relational spascape framework that reveals structural and configurational patterns beyond conventional typological classifications. In the context of increasing interest in therapeutic landscapes and heritage-sensitive development, spa settlements represent complex spatial systems shaped by the interplay of natural resources, urban form, and socio-cultural practices, yet they remain insufficiently understood through existing analytical models. The methodology is based on a structured analytical design combining three urbanization dimensions (material transformation, territorial regulation, and everyday life) with six thematic fields, operationalized through graded cross-affiliation scoring. The empirical research is conducted on a sample of 12 spa settlements in Serbia, selected to reflect diverse geographical, morphological, and developmental conditions. Statistical calibration was performed using Principal Component Analysis (PCA) and hierarchical clustering to identify underlying structural relationships and configurational groupings. The results indicate that spa settlements operate as multi-affiliated relational entities rather than fixed typologies, exhibiting dimension-specific structural logics and forming distinct configurational families depending on the analytical perspective applied. PCA reveals differentiated internal structures across dimensions, while clustering confirms the absence of a single stable typology. The findings support a relational understanding of spa settlements as dynamic spatial systems characterized by shifting alignments of material, regulatory, and experiential factors. Beyond the Serbian context, the study offers a transferable methodological framework that connects qualitative urban interpretation with quantitative spatial analysis, contributing to heritage-sensitive planning, territorial governance, and the management of spa systems as relational clusters. Full article

Indoor monitoring of biological contamination is essential for protecting cultural heritage and public health. However, conventional culture-based methods limit timely intervention. This study presents an affordable modular multisensor system for indirectly detecting airborne fungal contamination using Penicillium chrysogenum as a representative model organism and its environmental signatures. The proposed prototype integrates PMSA003I, BME688 and AMG8833 sensors and was evaluated under controlled environmental conditions. Biological ground truth was established using a volumetric inertial-impaction sampling protocol (SAS sampler), validating four contamination levels (~6 to 165, CFU/m³). A total of 1989 observations were analyzed. Non-parametric statistical tests (Kruskal–Wallis and Mann–Whitney U) confirmed significant differences between all the exposure conditions ($p<0.001$). Supervised machine learning (ML) models showed strong performance across all the classification tasks, with accuracy and AUC values near 100%. In most cases, pressure alone was sufficient. The statistical and ML analyses consistently identified pressure, particulate-related variables, gas resistance and humidity as the most informative features. Overall, the results indicate that the proposed approach can reliably capture indirect environmental signatures associated with airborne fungal presence under controlled conditions. The study supports the feasibility of low-cost multisensor systems for continuous indoor bioaerosol monitoring while highlighting the need for further optimization and validation in real-world environments. Full article

Tissue engineering using the self-assembly approach represents a promising technology. However, age-related reductions in extracellular matrix deposition by stromal cells limit the mechanical robustness of reconstructed tissues what can be critical for midurethral sling reconstruction. Indeed, stress urinary incontinence predominantly affects women over 50 years of age and is commonly treated by implantation of midurethral slings, whose synthetic versions have raised concerns regarding safety and long-term tolerance. In this study, we investigated whether biochemical modulation could enhance collagen deposition and mechanical properties of self-assembled dermal tissues reconstructed from female donors of different ages. Dermal fibroblasts were cultured in the presence of ascorbic acid, and the effects of hormonal supplementation, metabolic and hypoxia-related stimuli, and insulin signaling activation were evaluated using collagen quantification, histological analyses, and mechanical testing. Fibroblasts derived from younger donors deposited significantly more collagen than those from older female donors. Among all tested conditions, insulin like growth factor 1 (IGF 1) markedly increased collagen deposition in a dose-dependent manner, including in fibroblasts from women over 50 years of age, whereas β-estradiol and progesterone had no significant effect on collagen content. Although β-estradiol slightly increased tissue thickness, only IGF-1 supplementation resulted in substantial improvements in perforation strength, stiffness, displacement at break, and toughness. These results demonstrate that IGF-1 is a potent enhancer of extracellular matrix production and mechanical performance in dermal tissues reconstructed by the self-assembly approach, and represents a promising strategy to improve the development of biological midurethral slings. Full article

Background/Objectives: Urinary tract infections (UTIs) in older adults are common and potentially life-threatening conditions that often present with atypical symptoms. Early identification of prognostic factors is essential to improve clinical outcomes and reduce mortality in this vulnerable population. Methods: This retrospective, multicenter study included patients aged ≥65 years who were hospitalized with a diagnosis of UTI between January 2019 and December 2023. Diagnoses were established by infectious disease specialists based on clinical findings and microbiological confirmation in accordance with international guidelines. Only patients with urine cultures showing ≥100,000 CFU/mL bacterial growth were included. Demographic, clinical, laboratory, and microbiological data were analyzed. Multivariable logistic regression was used to identify independent predictors of in-hospital mortality. Results: A total of 1175 patients (median age: 75 years; 51.1% male) were included. The in-hospital mortality rate was 14.6%, and 25.6% required intensive care unit (ICU) admission. Multidrug-resistant (MDR) bacteria were detected in 63.6% of isolates, and bacteremia was present in 24.3% of cases. In multivariable analysis, MDR/ESBL positivity (OR: 2.09, 95% CI: 1.24–3.50, p = 0.005), bacteremia (OR: 2.10, 95% CI: 1.32–3.35, p = 0.002), and SOFA score (OR: 1.53, 95% CI: 1.42–1.65, p < 0.001) were independently associated with in-hospital mortality. Age and altered mental status were also significant predictors, while CRP and procalcitonin lost significance after adjustment. Conclusions: UTIs in elderly patients are associated with substantial morbidity and mortality. Multidrug-resistant pathogens, bacteremia, and disease severity play a central role in determining outcomes. Early identification of high-risk patients using clinical severity scores and microbiological data may improve risk stratification and guide timely, targeted therapeutic interventions. Full article

Background: Immigrant communities and first-generation immigrants in the United States face persistent disparities in maternal health outcomes. These inequities are shaped by intersecting structural conditions, including socioeconomic exclusion, language barriers, cultural differences, and institutional constraints documented in prior research. Methods: This narrative review examined 28 peer-reviewed studies published between 2010 and 2024 that applied an intersectional framework to maternal health research focused on immigrant communities in the United States. Studies were identified through PubMed, Scopus, Web of Science, and Google Scholar. The review analyzed how each study conceptualized, designed, and interpreted maternal health in these populations. Results: Seven recurring themes were identified: barriers to and access to care; gaps in clinical guidance; limitations in health data and surveillance; immigration-related policy context; health system influences; intersectional vulnerability across subgroups; and the role of individual- and community-level supports. Conclusions: The literature highlights the importance of community-based strategies, Medicaid policy considerations, and culturally responsive care in addressing maternal health disparities among immigrant communities. Advancing birth equity will require coordinated efforts across healthcare systems, public health programs, and policy environments. Full article