Search Results (3,236)

Background/Objectives: The digital transformation of healthcare has become a key component of building resilient and sustainable health systems. However, the long-term sustainability of digital health technologies depends not only on user acceptance but also on the institutional governance conditions that shape how these technologies are implemented and utilised in practice. This study examines how institutional factors shape the sustainable utilisation patterns of Internet of Things (IoT) technologies in regulated healthcare environments, with hospital IoT-based asset management systems, a mature and widely deployed use case in China’s public hospitals, providing the empirical context for the investigation. Methods: Drawing on institutional theory and the Technology Acceptance Model (TAM), we conceptualise user perceptions as behavioural micro-foundations through which institutional conditions influence technology utilisation. A survey of 293 healthcare professionals from two large public hospitals in China was analysed using Structural Equation Modelling (SEM), incorporating mediation and Multi-Group Analysis (MGA). Results: The results demonstrate that technical compatibility (TC) significantly enhances perceived ease of use (PEU) (β = 0.40), while organisational support (OS) positively influences both perceived usefulness (PU) (β = 0.35) and PEU (β = 0.30). Conversely, regulatory compliance (RC) negatively affects PU (β = −0.25) and PEU (β = −0.20), revealing a tension between accountability requirements and operational efficiency. The model explains between 58% and 67% of the variance in key constructs. Conclusions: Overall, the findings indicate that sustainable utilisation patterns depend on alignment between technological capabilities and institutional governance conditions, with user perceptions operating as behavioural micro-foundations through which institutional effects are transmitted. By integrating institutional theory with technology acceptance research, this study contributes a governance perspective for understanding sustainable digital transformation in healthcare systems and provides practical insights for designing interoperable, compliant, and supportive digital health infrastructures to enhance hospital operational efficiency and quality of care. Full article

The BRICS countries are playing an increasingly significant role in shaping a multipolar model of global science. This study aims to assess the academic influence of economic journals published in BRICS countries from the following key perspectives: academic standing, relevance, influence sustainability, internationalization, and external institutional recognition (lack of isolation). The methods of bibliometric, comparative, and cluster analysis were used. The study revealed that the BRICS countries have significantly increased their presence in the Scopus database. However, their scientific publishing landscape is highly heterogeneous. Russia and India exhibit the highest publication volumes among the BRICS countries, albeit with relatively low citation rates and a low level of internationalization. Meanwhile, Chinese, South African, and Indonesian journals have the highest citation rates and strongest integration into the global discourse. Cluster analysis identified five groups of journals with a range of academic influence levels, from peripheral contributors to international leaders. Additionally, country-specific features of their distribution were determined. The present research provides insights into the pivotal role of national journals in overcoming peripherality and strengthening the academic influence of nationwide science. The research methodology can be used to develop strategies that promote nations to become part of the global research community. Full article

Innovation system decision-making is a core component in promoting incentives and conditions necessary for the emergence of innovation. It also plays a critical role in guiding policy and modeling strategies that aim to promote science, technology, and entrepreneurship at national, regional, and local levels. Decision-makers often select innovation system models that do not align with contextual scope, data accessibility, or institutional conditions, undermining their implementation. The lack of alignment between innovation system model assumptions and contextual realities undermines analysis and policy design, particularly when trying to implement a regional model on a national scale without any sort of adaptation. This study presents a framework that aligns innovation system models to specific contexts by providing a decision-making system based on structural analysis. Using a comprehensive collection of relevant previous studies related to the theoretical evolution of innovation system models, this research provides insights regarding the most used types and techniques to compare innovation systems comprising national and regional ISs, helix models, and innovation and entrepreneurship ecosystems. For each model, explanatory potential via structural analysis is operationalized through five indicators derived from multilevel graphs: geopolitical scope, number of actors, vertical and horizontal density, and Shannon’s entropy. These indicators are then systematized into dimensions comprising two feasibility filters and three mechanism-related dimensions, forming the basis for a minimum viable innovation system model selection heuristic. This structural analysis shows that ecosystem lenses capture distributive and adaptive interaction structures; helix models emphasize coordination and governance; and national or regional innovation systems underscore policy reach and institutional boundaries. The results provide a numerical analysis of three different contexts—a national mission, a city entrepreneurship program, and a regional coordination upgrading effort—highlighting areas for improvement in planning, project implementation, and public policy design. Full article

Women’s advancement into leadership roles remains uneven in many post-socialist labor markets despite high levels of female education and workforce participation. While prior research has emphasized structural barriers and national institutional conditions, less is known about how firm-level organizational environments shape women’s evaluations of leadership as a viable career pathway. This study aims to examine how firm type shapes women’s managerial aspirations across career stages in post-socialist Mongolia. Using cross-sectional survey data from 191 employed women in Ulaanbaatar, aspiration patterns were compared across three organizational contexts: foreign-owned firms, domestic private firms, and public-sector organizations. Career aspirations were operationalized as three states—high aspiration, constrained aspiration, and low aspiration—to capture differences between leadership motivation and perceived feasibility. Pearson’s chi-square tests and Cramér’s V were used to assess associations between firm type, career stage, and aspiration categories. The results show that women in foreign-owned firms are more likely to sustain leadership aspirations, whereas constrained and low aspirations are more prevalent in domestic private firms and the public sector, particularly at mid-career stages. These findings suggest that leadership aspirations reflect organizationally shaped feasibility assessments rather than individual motivation alone, and that firm type operates as a critical meso-level opportunity structure within shared post-socialist institutional conditions. Full article

Agricultural performance is often interpreted through agronomic inputs and technological progress; however, the translation of knowledge into production depends on the structural environments in which food systems operate. This study examined the association between food-security-related publication activity and crop production across global income settings from 2000 to 2025, while testing whether governance, health-system, and financial indicators modify that association. A longitudinal ecological panel was constructed, integrating 61,158 Scopus-indexed peer-reviewed articles on food security and related dimensions of healthy food access and availability with 23 crop production indicators grouped into staple, horticultural, and commodity domains. Income-stratified regression models were followed by hierarchical mixed-effects models and moderator screening. In exploratory stratified models, 67 of 92 income-specific associations reached nominal significance; however, only 5 of those 67 associations (7.5%) remained statistically significant after multilevel modelling and false discovery rate correction. Robust associations were concentrated in selected staple and horticultural outcomes, whereas most commodity indicators lost significance after hierarchical adjustment. Structural moderators related to territorial control, corruption, healthy life expectancy, health researcher density, healthcare access and quality, and official development assistance shifted the conditional slopes linking publication activity to crop output. These findings do not support a uniform linear relationship between publication growth and production volume. Instead, they suggest that the alignment between research ecosystems and agricultural output is structurally conditioned and likely mediated by institutional capacity, health-system resilience, and implementation environments. The ecological design, the use of publication counts as an indirect proxy, and the reliance on production volume rather than yield or efficiency should be considered when interpreting these results. Full article

Freezing rain is a high-impact winter weather phenomenon that acts as a major disturbance agent in forest ecosystems, causing canopy damage, stem breakage, tree mortality, and long-term changes in forest structure and functioning. Although ice storms have been studied for decades, research on freezing rain impacts on forests remains fragmented across multiple disciplines, and few studies have attempted an integrated synthesis that simultaneously combines climatological, ecological, and methodological perspectives. In this study, we present a systematic and integrative review of the scientific literature on freezing rain and forests, combining a large-scale bibliometric analysis with an in-depth qualitative synthesis. A total of 241 publications retrieved from the Scopus and Web of Science databases were analyzed following PRISMA guidelines. The bibliometric assessment examined publication trends, geographic distribution, institutional contributions, research domains, and keyword networks. The qualitative review synthesized current knowledge on freezing rain climatology, forest damage mechanisms, species-specific vulnerability, major ice storm events, detection and modeling approaches, and ecological consequences. Results reveal a strong increase in scientific output over the last two decades, dominated by research from North America and northern Europe. Ice accretion intensity emerges as the primary driver of forest damage, while species traits, crown architecture, tree size, stand structure, topography, and exposure strongly modulate damage severity. Freezing rain affects a wide range of forest types worldwide and triggers both immediate structural damage and long-term ecological effects, including altered successional dynamics and reduced forest productivity. Recent methodological advances—including passive remote sensing (e.g., optical satellite data), active remote sensing (e.g., LiDAR), experimental ice storm simulations, reanalysis datasets, and machine learning approaches—have significantly improved detection, monitoring, and forecasting capabilities. Despite these advances, major research gaps remain, particularly regarding long-term ecosystem recovery, trait-based vulnerability, socio-economic impacts, and future freezing rain regimes under climate change. This review highlights freezing rain as an increasingly important but underappreciated forest disturbance and underscores the need for interdisciplinary research and adaptive management strategies in ice-prone regions. Full article

School dropout is an issue that requires the attention of institutions. Related research indicates that both family (e.g., parental monitoring) and personal (e.g., academic motivation and school engagement) factors affect adolescents’ decision to quit school. As no studies have jointly examined these variables in Italian adolescents over time, this two-wave study aimed to investigate the role of parental monitoring in the relationships among academic motivation, school engagement, and dropout intention. This study enrolled 377 adolescents (boys = 178; M_age = 14.41, SD_age = 0.72) from two public upper secondary schools in Italy, and followed them over 6 months from November 2024 (T0) to May 2025 (T1). They completed a questionnaire at T0 and T1 comprising the following measures: parental monitoring, academic motivation, school engagement, and dropout intention. Structural equation modelling showed a good fit to the data, χ²₍₅₄₎ = 84.589, p = 0.005, RMSEA = 0.04 [0.02–0.05], CFI = 0.99, TLI = 0.98, SRMR = 0.02. At T0, parental monitoring was positively associated with academic motivation and school engagement and negatively associated with dropout intention. A positive reciprocal association was observed between academic motivation and school engagement at T0 and T1. Academic motivation and school engagement at T0 were negatively associated with dropout intention at T1. Parental monitoring at T0 had a significant indirect effect on dropout intention at T1 via academic motivation and school engagement at T0. These findings suggest that interventions targeting family and personal factors may reduce school dropout rates among adolescents. Full article

Higher technical and professional education is increasingly discussed in relation to workforce readiness, innovation, and societal inclusion. In Italy, the PNRR-funded Rome Technopole operates as a multi-institutional ecosystem in which universities, research organizations, industry, and public bodies interact through a Hub & Spoke model to support training and innovation activities. Among its components, Spoke 4 addresses professional higher technical education through the co-development of modular learning initiatives involving multiple stakeholders. This commentary examines the role and activities of the Italian National Institute of Health (ISS) within this context, with particular reference to the development of two pilot modules: one on Artificial Intelligence and Algorethics, and one on Accessibility and Assistive Technologies, including applications supported by AI. The paper combines a conceptual discussion of the approach with selected empirical insights derived from pilot implementation, including stakeholder engagement processes, structured evaluations, and thematic prioritization exercises. The findings suggest the perceived relevance of multi-stakeholder co-design, the use of flexible and modular learning formats, and the integration of technical and ethical dimensions in higher technical education. At the same time, they point to challenges related to coordination, scalability, and alignment across institutional actors. Rather than proposing a definitive model, the Spoke 4 experience is discussed as a context-specific case that may offer insights contributing to ongoing debates on the design and implementation of higher technical education in complex, multi-institutional settings. Full article

Property development, roads, vehicles, and suburban sprawl cause biodiversity habitat fragmentation. Some herpetofauna are at risk from a conservation perspective. This phenomenon is simultaneously a road ecology and a public health problem. The article analyzes the impact of “campus-based growth machine” development on herpetofauna habitat fragmentation around various wetlands in uptown Albany, New York, U.S. This study fills an unresearched gap on the impact of the campus-based growth machine, roads, vehicles, and suburban sprawl on biodiversity habitat fragmentation. The research methods comprised both qualitative and quantitative assessments of property development inventories, wildlife observations, student engagements and biodiversity monitoring at the University at Albany, the cataloging of test-design and conservation measures, and the review of institutional planning regulations and roadway design features. The key finding is the need for more biodiversity conservation innovations to increase the continuity of habitats, uniform underground crossings, and the elimination of biodiversity road crossing deaths. The article presents research and management practice recommendations. The study shows a plausible association between university expansion and biodiversity reductions on campus grounds. It also identifies potential mitigation measures and opportunities for community service collaborations. Full article

This study analyzes the closure, decommissioning, and abandonment (CDA) of a fuel storage and distribution facility in southern Quito, Ecuador, conceptualizing the process as a socio-technical urban transition embedded within territorial governance dynamics. While infrastructure decommissioning is commonly addressed from a predominantly technical perspective, limited research integrates reverse logistics design, stakeholder influence structures, and territorial development into a unified analytical framework, particularly in Latin American metropolitan contexts. Using a mixed-methods case study approach, the research combines documentary analysis, operational data, and 34 semi-structured interviews with public authorities, engineers, fuel marketers, business owners, and community representatives. A thematic analysis was applied to reconstruct the decommissioning logistics chain and to develop a stakeholder mapping and influence matrix assessing actor positions, economic interdependencies, and legitimacy claims. The findings show that decommissioning operates as a structured reverse logistics system embedded within asymmetric governance configurations, where economic dependency, risk perception, and urban redevelopment expectations generate competing territorial imaginaries. Technical feasibility alone proves insufficient to guide decision-making; instead, legitimacy emerges through the alignment of engineering planning, institutional coordination, and community-level expectations. The study advances an integrated socio-technical framework that articulates Engineering Management, Social Management, and Territorial Development, positioning decommissioning as a governance-driven transition rather than a purely technical operation. The results contribute to sustainability and infrastructure transition scholarship while offering practical guidance for managing urban hydrocarbon infrastructure closure in socially vulnerable territories. Full article

Suicide is a global and public health crisis that impacts people of all ages and backgrounds. The literature supports that individuals with serious mental illness are at a higher risk of suicide compared with those without a serious mental illness. It is also well-documented that individuals are at particularly high risk of suicide immediately post-hospitalization for a psychiatric illness. Our narrative review synthesizes and analyzes the existing literature on this phenomenon, the rates of suicide post-hospitalization, the risk factors for suicide during that time, and the interventions and strategies developed to reduce the rates. Current risk assessments struggle to identify individual patients who are at the highest risk of suicide post-discharge. Research has shifted towards focusing on brief crisis interventions to target this high-risk period. Other interventions in the literature include those that attempt to increase engagement with mental health services and increase institutional resources. We also synthesize literature on the iatrogenic risk of hospitalization, the impact hospitalization itself can have on patients, and their risk of suicide once discharged. Future directions could include further exploration of the impact these interventions have on specific populations, such as those with comorbid psychiatric and substance use conditions. Full article

Background: Mega-events like the FIFA World Cup (FWC) present unique and substantial challenges for individuals in recovery from substance use disorders (SUDs), primarily by increasing the risk of relapse. We employed a qualitative design using reflexive thematic analysis to explore the behavior of patients with SUDs during the 2022 FWC and to evaluate institutional strategies for mitigating related risks. Methods: We purposively sampled 32 participants who were present at the Naufar Center during the 2022 FWC: (i) thirteen adult patients with SUDs who were receiving treatment, and (ii) nineteen healthcare practitioners. Semi-structured patient interviews were conducted, and focus group discussions were held with a multidisciplinary team, including psychologists, nurses, and physicians. Individuals’ experiences regarding patterns in substance use behavior, environmental triggers, and the effects of institutional interventions were examined. Thematic analysis was employed to identify patterns, risks, and effective strategies. Results: Most patients maintained abstinence and only had cravings for alcohol. Triggers included public celebrations, emotional excitement, and the increased availability of addictive substances. Psychologists and physicians reported signs of behavioral destabilization; nurses observed some behavioral changes and noted logistical challenges. The participants acknowledged the supportive measures provided by Naufar, including the accessibility of clinical services, individualized therapy, social and recreational programming, and protective fan zones, which enabled them to participate in various activities during the event. Conclusions: The 2022 FWC created considerable psychological and environmental triggers for high exposure to alcohol and other substances. The supportive structured activities and tailored interventions were helpful in mitigating the risk of relapse, maintaining treatment engagement and ensuring recovery. Further research is required to explore the implications for recovery-oriented practices during culturally and socially high-risk events. Full article

Urban innovation spaces are crucial to stimulate innovative thinking and facilitate the integration of science, technology, and humanities. On the one hand, existing research on urban innovation spaces focuses on spatial patterns, associated networks, and spillover effects. They are limited to the macro scale and lack of innovation subject perspective. On the other hand, few studies have explored factors influencing the distribution by examining the needs of innovative talent. This study aimed to identify the evolution mechanism of urban innovation spaces. In total, 36,519 high-tech enterprises in Guangzhou from 2008 to 2023 were selected to represent urban innovation spaces. Spatial analysis methods and statistical methods were employed to investigate the spatiotemporal dynamic characteristics. Furthermore, employing multiscale geographically weighted regression, the study identifies multiple factors influencing the development of innovation spaces from the dual perspectives of the innovation environment and services. The results indicated that characterized by a southeast-northwest orientation, the urban innovation spaces of Guangzhou have displayed an apparent point–axis–face structural evolution, expanding from the central district into sparsely distributed in the suburbs. The factors influencing the distribution of urban innovation spaces, ranked by their degree of impact, were as follows: vehicle carrying, research institutions, public park, living convenience, university resources, business hotel, industrial structure height, and metro station. These findings facilitated the understanding of urban innovation space development and grasped the influencing factors and their functioning mechanisms. They provided references for innovation space planning amidst urban stock development. Full article

The rapid expansion of Generative Artificial Intelligence (GAI) is transforming higher education systems, particularly public institutions seeking to advance toward smart governance models and digital transformation. In this context, digital teaching competence emerges as a strategic factor for the effective, ethical, and pedagogically sound adoption of these technologies. This study assesses the level of digital competence among public higher education faculty in Paraguay and examines its predictive capacity regarding the adoption of GAI tools using machine learning models. A nationwide quantitative study was conducted with a sample of 800 faculty members from public universities across Paraguay. Data were collected through a structured questionnaire based on international digital competence frameworks, incorporating additional variables such as attitudes toward GAI, technological experience, institutional infrastructure, and perceived organizational support. Data analysis involved the application of machine learning techniques, including Logistic Regression, Random Forest, and Gradient Boosting, to identify the variables with the strongest predictive power regarding faculty readiness and willingness to integrate GAI into teaching practices. Model performance was evaluated using metrics such as accuracy, F1-scores, and the AUC-ROC. The findings identify key predictors of technological readiness and structural gaps within Paraguay’s public higher education system. This research provides empirical evidence from Latin America on the factors influencing GAI adoption in public sector educational contexts and contributes to the design of educational policies aimed at fostering smart universities and digitally sustainable academic ecosystems. Full article

The Research and Observation in Medium Earth Orbit (ROMEO) mission, developed at the University of Stuttgart‘s Institute of Space Systems, seeks to demonstrate a cost-effective exploitation of the medium Earth orbit (MEO) for sustainable access to space. It uses a green propulsion system with water as propellant to reach up to 2500 km altitude starting from a 450 km sun-synchronous orbit (SSO). This paper presents the design and intended use of the ROMEO satellite as well as its two in-house developed camera systems, the public relations (PR) and the near-infrared (NIR) camera system. The PR camera system features two silicon sensors with a Bayer color pattern in a compact, lightweight package and in a cold redundant setup to reduce the impact of radiation-related degradation. Their wide field of view (128 × 96°) allows imaging of the complete visible Earth in the mission‘s final orbit and supports calibration of the Earthshine telescope, which is the primary payload. The NIR camera system uses a commercial InGaAs sensor with a high quantum efficiency up to 1700 nm, coupled to a 100 mm focal length optics assembly that yields a ground sampling distance of 45 m in the initial orbit. Its scientific objectives include monitoring gas flares and wildfires, which are relevant to climate change research, and demonstrating an exoplanet transit detection—an unprecedented capability for a small satellite using a commercial off-the-shelf InGaAs sensor in the NIR spectrum. This paper demonstrates that ROMEO’s compact, low-mass camera systems meet mission constraints while enabling a broad spectrum of scientific and outreach activities. Full article