Search Results (125,609)

This study analyzes how museums in Brașov County integrated digital technologies into their activities during the COVID-19 pandemic, with a focus on online communication and audience interaction. This research is based on a mixed-methods approach, including content analysis, semi-structured interviews with museum representatives, and a questionnaire applied to the visiting public. The aim is to identify the digital strategies used, the challenges encountered, and visitors’ perceptions regarding the usefulness of these tools. The results indicate an accelerated but uneven adoption of digital technologies, influenced by available resources, internal competencies, and institutional support. Frequent online interaction is positively correlated with the perceived quality of digital content, and openness to virtual activities is higher among younger and more educated audiences. Identified limitations include the lack of specialized personnel, reduced budgets, and administrative difficulties. This study emphasizes the need for institutional reforms and investments in digitalization to ensure the sustainability of the digital transition, without losing the value of the physical museum experience. Full article

The increasing migration phenomenon and its impact on sexual health highlight the urgency of improving access to preventive services and developing responsive surveillance mechanisms. This study aims to describe the context and define the implementation circuits of a Community-Based Surveillance System (CBSS) focused on social epidemiological aspects related to sexual health in Chile’s migrant population. A two-phase qualitative design was employed: Phase 1 involved formative research, and Phase 2 focused on the design of CBSS implementation circuits. The formative phase led to the selection and characterization of three community-based organizations (CBOs)—two in Santiago and one in Antofagasta—and two primary healthcare centers (PHCs). Findings revealed heterogeneity in institutional capacities, limited coordination between CBOs and the health system, and a high level of willingness to participate. PHCs showed comparable profiles. Based on this, differentiated operational circuits were co-designed and adapted with stakeholders, and formalized through site-specific implementation manuals. This pre-implementation evaluation helped identify critical contextual barriers and generate tailored strategies for CBSS deployment. The active involvement of local actors is essential to ensuring the contextual relevance, institutional acceptability, and future sustainability of the proposed model. These insights offer transferable learning for the design of health interventions in underserved and structurally constrained settings. Full article

Understanding how elevation influences forest structure and species composition is crucial for effective conservation in mountainous regions like Nepal, where ecosystems change dramatically over short distances. This study assessed forest dynamics along an elevational gradient (600–3200 m) in Nepal’s mid-hills, incorporating elevational zonation (Tropical, Subtropical, Lower Temperate, and Upper Temperate) and aspect-driven variations. We established 27 square plots (20 × 20 m) at 100 m elevation intervals along a trekking route from Tallo Dungeshwor near the Karnali River to Mahabu Lek, recording all tree species with a diameter at breast height (DBH) ≥ 5 cm. Tree density across the elevational gradient ranged from 250 to 800 trees/ha. Basal area varied between 7.46 and 82.43 m²/ha, while mean tree height ranged from 6.89 to 16.62 m. Species diversity was assessed using the Shannon diversity index, and species dominance was evaluated through the Importance Value Index (IVI). Diversity peaked at mid-elevations, with Shorea robusta and Quercus semicarpifolia identified as dominant species. While minor variations occurred across topographic aspects, statistical analysis confirmed elevation as the dominant driver of forest structure and composition. Correlation analysis revealed a significant positive relationship between elevation and Simpson’s diversity index (r = 0.45, p < 0.05), indicating increased dominance diversity at higher elevations. These findings highlight the critical role of elevation and aspect in shaping forest ecosystems and offer valuable baseline data for climate-resilient management. We recommend conservation planning that is sensitive to topographic gradients, integrates long-term, climate-adaptive monitoring, and engages local communities to anticipate ecological shifts and address mounting anthropogenic pressures in vulnerable montane zones. Full article

Large language models (LLMs) have demonstrated powerful capability to solve practical problems through complex step-by-step reasoning. Specifically designed LLMs have begun to be integrated into terrestrial communication networks. However, relevant research in the field of satellite communications remains exceedingly rare. To address this gap, we introduce SCNOC-Agentic, a novel architecture especially designed to integrate the management and control of satellite communication systems in LLMs. SCNOC-Agentic incorporates four components tailored to the characteristics of satellite communications: intent refinement, multi-agent workflow, personalized long-term memory, and graph-based retrieval. Furthermore, we define four typical real-world scenarios that can be effectively addressed by integrating with LLMs: network task planning, carrier and cell optimization, fault analysis of satellites, and satellite management and control. Utilizing the SCNOC-Agentic framework, a series of open-source LLMs have achieved outstanding performance on the four tasks under various baselines, including zero-shot CoT, CoT-5, and self-consistency. For example, qwen2.5-70B with SCNOC-Agentic significantly improves the parameter generation accuracy in the network task planning task from 15.6% to 32.2%, while llama-3.3-70B increases from 16.2% to 29.0%. In addition, ablation studies were conducted to validate the importance of each proposed component within the SCNOC-Agentic framework. Full article

This study seeks to develop and evaluate a methodological framework for assessing the tourism potential of hillforts, by using a selected sample of 25 of these heritage resources located in the Lower Silesia Voivodeship. This region, as one of Poland’s most popular among domestic and international tourists, is increasingly confronting overtourism at its primary attractions. Concurrently, it possesses underutilised cultural assets, notably 250 remnants of gords/hillforts (grodziska in Polish) spanning various historical periods and dispersed across the whole area. Thus, to ensure the universality of the method, samples of hillforts from three main topographic zones of Lower Silesia were selected. In addition to the aim of testing the method, a secondary objective of the research involved conducting a preliminary assessment of selected hillforts’ tourism potential in different parts of the voivodeship. The methodology combined desk research and field studies across all selected archaeological sites. Concerning the primary objective, the developed assessment tool effectively replicated the multidimensional analytical framework characteristic of established methodologies, yielding reliable outcomes for evaluating gords’ tourism potential. However, modifications to the scoring system are recommended to enhance methodological precision. Regarding analysis of the 25 surveyed hillforts, the results indicate that objects from all zones mainly demonstrate high tourism potential, suggesting an opportunity for transformation into tourist attractions. The integration of hillforts into existing tourism infrastructure could significantly contribute to localised sustainable development across the region. The primary significance of these heritage resources lies in their capacity to facilitate the diversification of tourism offerings across distinct areas of the voivodeship. This development holds particular strategic value for northern poviats currently peripherally engaged in tourism economy. Moreover, by leveraging hillforts, communities obtain assets important in the process of building a common identity around cultural/historical place while safeguarding monuments. Concurrently, the most attractive southern poviats will benefit from the new attractions as they can help in mitigating overtourism pressures at overcrowded places, being an interesting alternative to the top attractions. This approach aligns with strategies to disperse tourist flows through specialised archaeological tourism products, thereby balancing economic benefits and local communities’ well-being with heritage preservation. Full article

The lotus–fish co-culture (LFC) system leverages plant–fish symbiosis to optimize aqua-culture environments, enhancing both economic and ecological yields. However, the eco-logical mechanisms of microbial communities in LFC systems remain poorly understood, particularly regarding the functional roles of fungi, archaea, and viruses. This study compared microbiota (viruses, archaea, fungi) in water, sediment, and fish (crucian carp) gut of LFC and intensive pond culture (IPC) systems using integrated metagenomic and environmental analyses. Results demonstrated that LFC significantly reduced concentrations of total nitrogen, total phosphorus, and nitrite nitrogen and chemical oxygen demand in water, and organic matter and total nitrogen in sediment compared to IPC. Community diversity analysis, LefSe, and KEGG annotation revealed suppressed viral diversity in LFC, yet increased complexity and stability of intestinal virus communities compared to IPC. Archaeal and functional analyses revealed significantly enhanced ammonia oxidation and OM decomposition in LFC versus IPC, promoting methane metabolism equilibrium and sediment organic matter decomposition. Moreover, crucian carp intestines in LFC harbored abundant Methanobacteria, which contributed to maintaining a low hydrogen partial pressure, suppressing facultative anaerobes and reducing intestinal infection risk. The abundance of fungi in sediment and crucian carp intestine in LFC was significantly higher than that in IPC, showing higher ecological self-purification ability and sustainability potential in LFC. Collectively, LFC's optimized archaeal–fungal networks strengthened host immunity and environmental resilience, while viral community suppression reduced pathogen risks. These findings elucidate microbiome-driven mechanisms underlying LFC’s ecological advantages, providing a framework for designing sustainable aquaculture systems through microbial community modulation. Full article

Biofilms develop in sequential steps resulting in the formation of three-dimensional communities of microorganisms that are encased in self-produced extracellular polymeric substances. Biofilms play a key role in device-associated infections, such as catheter-associated urinary tract infections (CAUTIs), because they protect microorganisms from standard antimicrobial therapies. Current strategies to prevent biofilm formation in catheter-related infections, including prophylactic antibiotics and antibiotic-coated catheters, have been unsuccessful. This finding highlights a need for novel approaches to address this clinical problem. In this study, biofilm-forming phenotypes of common Gram-negative bacteria associated with CAUTIs were treated with antisense peptide nucleic acids (PNAs), and biofilm biomass and bacterial viability were quantified after 24 h of treatment. A cocktail of PNAs targeting the global regulator genes rsmA, amrZ, and rpoS in Pseudomonas aeruginosa significantly reduced viability and thus appropriately eliminated biofilm biomass. Antisense-PNAs against these same gene targets and the motility regulator gene motA inhibited biofilm formation among isolates of Klebsiella pneumoniae, Enterobacter cloacae, and Escherichia coli but did not reduce bacterial viability. These results suggest that antisense-PNAs are a promising new technology in preventing biofilm formation in urinary catheters, especially as a potential complement to conventional antimicrobials. Full article

This study examined the prevalence of intentionally unreported and potentially unrecognized concussions in community rugby players and whether nondisclosure reasons vary by sex, position, or playing history. An online survey was completed by 1037 players (41.0% female; mean age 31.6 ± 11.3 years; 10.1 ± 8.1 years playing) who reported diagnosed, unreported, and unrecognized concussions. Poisson regression models estimated prevalence ratios (PRs), and Fisher’s exact tests compared reasons for nondisclosure. The diagnosed, unreported, and unrecognized concussion rates were 66.5%, 32.4%, and 42.2%, respectively. Players with diagnosed concussions had a 7.2-fold higher prevalence of nondisclosure and a 2.3-fold higher prevalence of nonrecognition. A longer playing history was linked to greater nondisclosure (PR: 1.2), and males had a higher prevalence of nonrecognition (PR: 1.4). Position and sex were not associated with nondisclosure; position and playing history did not affect recognition. While nondisclosure reasons were mostly consistent across demographics, players with a history of concussion were more likely to report avoiding removal from games or practices (38.5% vs. 13.6%, p = 0.021). Concussions are common in community rugby, with high rates of underreporting and unawareness, influenced by experience and prior concussions. These findings underscore the need for better education and reporting systems to improve player safety. Full article

Reclaimed land refers to artificially created soil formed by filling in seawater, leading to rapid ecological changes. Undeveloped reclaimed areas offer opportunities to explore previously unknown soil ecological resources. The Shihwa reclaimed land is an undeveloped area where microbiome-based studies of the microbial community have not yet been conducted. The soil from the Sihwa reclaimed land (SR, SL) showed higher pH (8.9), EC (7.5 dS/m), and Na⁺ content (13.4 cmol⁺/kg), but lower levels of organic matter and phosphorus compared to typical agricultural soils (NL, NS). These unfavorable conditions had a negative effect on lettuce growth, as both fresh and dry weights in the SL treatment (32.5 g and 0.39 g, respectively) were significantly lower than those in the NL treatment (40.4 g and 0.45 g). At the phylum level, Actinobacteria (51.6%) dominated the original reclaimed soil (SR), but after lettuce cultivation (SL), there was an increase in Cyanobacteria (25.3%) and Proteobacteria (29.4%). At the order level, Streptomycetales (35.2%) and Bacillales (13.5%) were predominant in SR, whereas in SL, Oscillatoriales (23.5%)—which have photosynthetic ability—as well as organic matter-degrading orders such as Rhodobacterales and Flavobacteriales, became dominant. For the eukaryotic community at the phylum level, Ascomycota was predominant in all samples; however, in NL, the relative proportions of Chlorophyta (22%) and Mucoromycota (8.9%) were higher, indicating increased diversity. At the order level, Eurotiales (28.5%), Hypocreales (20.2%), and Wallemiales (14.4%) were predominant in SR, but after lettuce cultivation, Wallemiales disappeared and Eurotiales increased to 40.0%. Additionally, Glomerellales and Sordariomycetes_o were detected only in SL and NL, suggesting that symbiotic fungal activity in the rhizosphere was promoted. Full article

Air pollution is causing a global health, climate, and environmental crisis. Air quality (AQ) in hyper-arid regions, such as the Arabian Peninsula, remains under-explored, posing significant concerns for public health and the scientific community. Both long-term and short-term exposure to high pollutant levels, whether from anthropogenic or natural sources, can pose serious health risks. This paper offers a comprehensive review and meta-analysis of urban AQ literature published in the region over the past decade (2013–June 2025). We aim to provide guidance and highlight key directions for future research in the field. This paper examines key pollutants, emission sources, implications of urban sources, and the most studied countries, methodologies, limitations, and recommendations from different case studies. Our analysis reveals a significant research gap highlighting insufficient recent literature. Saudi Arabia was the most studied country with 20 papers, followed by the broader Arabian Peninsula (sixteen), Qatar (twelve), the United Arab Emirates and Iraq (seven each), Kuwait (four), Oman (three), Jordan, and Bahrain (one each). The primary methods employed included measurements and sampling (28%) and remote sensing (24%), with a focus on pollutants such as dust (23.1%), NO_x/NO₂/NO (17.2%), PM_2.5 (17.6%), and PM₁₀ (12%). Industrial emissions (27%) and natural dust (24%) were identified as significant emission sources. Monitoring methods included grab sampling (19%), integrated sampling (34%), and continuous monitoring (47%). Notably, 13.3% of AQ sensors were linked to a station, 27.6% were self-referenced, and 59.1% did not specify calibration methods. The findings highlight the need for further research, regular calibration of air quality monitors, and the integration of advanced modeling approaches. Moreover, we recommend exploring the links between air pollution and urban development to ensure cleaner air and contribute to the global dialogue on sustainable and cross-border AQ solutions. Full article

Coordinating Multi-Unmanned Surface Vehicle (USV) swarms in complex, adversarial maritime environments is a significant challenge, as existing multi-agent reinforcement learning (MARL) methods often fail to capture intricate spatiotemporal dependencies, leading to suboptimal policies. To address this, we propose Adv-TransAC, a novel Spatio-Temporal Meta-Reinforcement Learning framework. Its core innovation is a hybrid GAT-transformer architecture that decouples spatial and temporal reasoning: a Graph Attention Network (GAT) models instantaneous tactical formations, while a transformer analyzes their temporal evolution to infer intent. This is combined with an adversarial meta-learning mechanism to enable rapid adaptation to opponent tactics. In high-fidelity escort and defense simulations, Adv-TransAC significantly outperforms state-of-the-art MARL baselines in task success rate and policy robustness. The learned policies demonstrate the emergence of complex cooperative behaviors, such as intelligent risk-aware coordination and proactive interception maneuvers. The framework’s practicality is further validated by a communication-efficient federated optimization architecture. By effectively modeling spatiotemporal dynamics and enabling rapid adaptation, Adv-TransAC provides a powerful solution that moves beyond reactive decision-making, establishing a strong foundation for next-generation, intelligent maritime platforms. Full article

Analytical solutions for the complex-valued nonlinear Gerdjikov–Ivanov (GI) equation have been studied extensively using integrability-based methods. In contrast, numerical and semi-analytical exploration remains relatively underdeveloped. Thus, the present study deploys both the traditional Adomian decomposition method (ADM) and its improved version (IADM) to explore the computational relevance of the GI equation to shock waves against a benchmark exact soliton solution. The findings indicate that both methods are effective in addressing the GI equation, with the improved method demonstrating an enhancement in the stability of the convergence under specific conditions. This work offers the first systematic semi-analytic and numerical evaluation of the GI equation, introducing practical implementation guidelines. Full article

Ireland, historically a country of emigration, has transformed into a hub of immigration. Today, over 200 languages are spoken among its 5.25 million residents, with approximately 750,000 individuals speaking a language other than English or Irish at home. This growing linguistic diversity is increasingly reflected in Irish primary classrooms, where teachers are called upon to support students from a wide range of linguistic and cultural backgrounds). In response, Teaching English as an Additional Language (EAL) modules have expanded across initial teacher education (ITE) programs in Ireland. This study examines over two decades of teacher development initiatives, tracing a shift from an earlier bilingual model—where multilingualism was viewed primarily as second language acquisition—to a more expansive, European-informed vision of plurilingualism. Drawing on recommendations for reflexive, linguistically and culturally responsive education, this research adopts an insider/outsider discursive case study approach to explore student teachers’ preparedness to support multilingual learners in Irish primary schools. Conducted through a collaboration between an Irish teacher educator/module coordinator and an intercultural education specialist, this study employs reflexive thematic analysis) of student teachers’ self-reports from a twelve-week elective module on linguistic and cultural diversity within a Primary Bachelor of Education program. Data were drawn from surveys (n = 35) across three module iterations in 2019, 2021, and 2023. Findings indicate student teachers’ growing awareness of language teaching strategies and resources, developing positive orientations toward inclusive and plurilingual pedagogy, and emerging skills in professional collaboration. However, areas for further development include strengthening agency in navigating real-world multilingual teaching scenarios and embedding deeper reflexivity around linguistic identities, integrating students’ home language and intercultural learning. The paper concludes with recommendations to expand access to language teaching resources for diverse student profiles and support collaborative, shared EAL leadership through professional learning communities as part of teacher education reform. Full article

To address the increasing demand for computational and communication resources, modern networked systems often rely on heterogeneous servers, including those requiring setup times, such as virtual machines or servers, and others that are always active. In this paper, we model and analyze the performance of such hybrid systems using a level-dependent quasi-birth-and-death (LDQBD) process. Building upon an existing queueing model, we extend the analysis by considering scalable approximation methods. Since matrix analytic methods become computationally expensive in large-scale settings, we propose a stochastic bounding approach that derives upper and lower bounds for the stationary distribution, thereby significantly reducing computational cost. This approach further provides bounds on the performance metrics of the hybrid system. Full article

The tight sandstone gas reservoirs of the Xujiahe Formation are critical targets for tight gas exploration and development in the Sichuan Basin. While Class I reservoirs have been successfully developed using staged volume fracturing technology, efforts are being increasingly directed toward Class II and III matrix-type blocks. These reservoirs are characterized by a low permeability, high geo-stress differentials, strong heterogeneity, and limited fracture development. These properties result in several challenges, including ambiguous gas production sources, low reservoir utilization rates, significant variability in horizontal well performance, and rapid early-stage production decline—all of which hinder the effective development of matrix-type reservoirs. This study examines two representative fractured wells, Xin 8-5H and Xinsheng 204-1H, located in Class II and III blocks of the Xujiahe Formation gas reservoir. To identify gas production sources, we establish full-fracturing-section productivity models. Furthermore, accounting for variations in geological characteristics, we develop distinct productivity models for three key zones, the matrix area, fracture area, and fault area, to evaluate the productivity controls. The findings reveal that well Xin 8-5H primarily produces gas from the matrix and fault zones, whereas well Xinsheng 204-1H derives most of its production from the matrix and natural fractures. In matrix-dominated zones, generating complex fracture networks enhances productivity. An optimal cluster spacing of approximately 14 m ensures broad pressure sweep coverage while maintaining effective inter-cluster fracture connectivity. Additionally, natural fractures in the Xu-2 matrix reservoirs play a vital role in fluid communication. To maximize reservoir contact, well trajectories should be designed such that natural fractures are oriented either parallel or perpendicular to the wellbore, thereby improving lateral and vertical development. Near fault zones, adjusting cluster spacing to 14–25 m—while keeping the distance between faults and fracturing stages below 50 m—effectively connects faults and substantially increases production. This study introduces a systematic methodology for identifying gas sources in matrix reservoirs and optimizes key productivity-influencing parameters. The results provide both theoretical insights and practical strategies for the efficient development of Xu-2 matrix reservoirs. Full article