Search Results (381)

Background/Objectives: Digital transformation is increasingly essential for healthcare organizations to improve operational efficiency and service quality. However, in developing countries such as Indonesia, many lower-middle-class hospitals lag due to limited financial, human, and infrastructural resources. This study examines how environmental dynamism—comprising regulatory changes, market pressures, and technological shifts—affects the digital capabilities of these hospitals. Methods: A quantitative, cross-sectional survey was conducted in Class C and D hospitals across Indonesia. Respondents included hospital directors, deputy directors, and IT heads. Data were collected through structured questionnaires measuring environmental dynamism and digital capability using a six-point Likert scale. Reliability testing yielded Cronbach’s alpha values above 0.96 for both constructs. Correlation analysis was performed to examine the relationship between environmental dynamism and digital capability. Results: Findings reveal a weak positive correlation (r = 0.1816) between environmental dynamism and digital capability. Although external factors such as policy regulations and technological competition encourage digital adoption, hospitals with limited internal resources struggle to translate these pressures into sustainable transformation. Key challenges include low ICT budgets, inconsistent staff training, and insufficient infrastructure. Conclusions: The results suggest that environmental change alone cannot drive digital readiness without internal capacity development. To foster resilient digital healthcare ecosystems, policy interventions should integrate regulatory frameworks with practical support programs that strengthen resources, leadership, and human capital in lower-middle-class hospitals. Full article

Corporate Social Responsibility (CSR) in China has evolved from reproducing Western-centric frameworks to engaging with the institutional and political particularities that shape how CSR is reconfigured and practiced. Yet few studies have critically reviewed this growing body of literature to capture the core characteristics and mechanisms of state-corporate coordination in China. This paper fills this gap by reviewing 112 peer-reviewed English-language studies published between 2007 and 2025, synthesizing how CSR in China is conceptualized, embedded, and operationalized across cultural, economic, political, and global dimensions. This review identifies three institutional logics structuring Chinese CSR: (1) moral–cultural framing rooted in Confucian ethics and socialist collectivism; (2) economic coordination under state-led capitalism and selective neoliberalism; and (3) political signaling through Party-state governance and legitimacy negotiation. It also outlines six major research themes—CSR as a legitimacy strategy, CSR reporting, CSR in Chinese multinational enterprises, CSR’s link to financial performance, environmental CSR, and civil CSR—highlighting the mechanisms underlying each. Findings show that CSR in China is different from the managerial-stakeholder framework (e.g., explicit/implicit CSR, pyramid model or integrative model). Instead, it operates as an adaptive political technology within state-led capitalism, reinforcing moral legitimacy and political conformity as firms—especially SOEs and politically connected private enterprises—align with state-defined priorities. Through a comparative perspective, this review demonstrates how China’s CSR model fundamentally recalibrates corporate agency toward political negotiation rather than stakeholder responsiveness, offering a distinct configuration that challenges the presumed universality of Western CSR theories. Full article

This study explores global experiences of capital relocation to extract lessons relevant to North Maluku, Indonesia, where Sofifi has yet to develop into a functional provincial capital. Drawing on six theoretical perspectives, including growth pole theory, polycentric development, institutional inertia, urban metabolism, spatial justice, and urban vitality, the paper analyzes how political vision, institutional integration, and social participation influence relocation outcomes. Comparative cases from Abuja, Brasília, Putrajaya, Naypyidaw, Randstad, and Nusantara show that successful relocations occur when governance reform aligns with spatial planning and participatory urban design. For Sofifi, enhancing urban vitality through connectivity, inclusiveness, and institutional coordination is essential to transform relocation from a symbolic decision into a functional urban system. The study contributes a conceptual framework linking spatial design, institutional reform, and social vibrancy in the pursuit of sustainable and equitable capital development. Full article

Based on the “Future Outlook” sections of annual and semi-annual reports from Chinese A-share-listed companies (2011–2024), we construct a novel measure of managerial confidence by quantifying the intertemporal shifts in textual sentiment. Using a sample of 76,923 observations, our analysis reveals that this measure exhibits dynamic predictive power for expected stock returns. Specifically, in the short term, managerial confidence serves as a valid predictor. A long-short portfolio sorted by managerial confidence yields a 7.05% cumulative return spread over the five post-disclosure trading days. Mechanism analysis suggests that this short-term predictability stems from high managerial confidence effectively attracting investor attention. Over the medium term (six months), however, its predictive power hinges on the reliability of the confidence signal: For managers whose historical confidence has aligned with fundamental performance, high confidence predicts positive expected excess returns; for those who are chronically overoptimistic, it becomes an inverse predictor of firm value. These findings indicate that financial markets dynamically assess both the intensity and the reliability of signals within managerial disclosures, offering a new perspective on the predictive power of managerial psychological traits in capital markets. Full article

Our work develops the structural mathematical framework of the REGENerative Agriculture (REGENA) Production Function, contributing to the limited global literature of regenerative farming production functions with consistency to the 2nd Law of Thermodynamics and the underlying biophysical processes for ecosystem services’ generation. The accurate structural economic modeling of regenerative farming practices comprises a first vital step for the shift of global agriculture from conventional farming—utilizing petrochemical fertilizers, pesticides and intensive tillage—to regenerative farming—utilizing local agro-ecological capital forms, such as micro-organisms, organic biomasses, no-tillage and resistant varieties. In this context, we empirically test the REGENA structural change patterns with data from eight experimental plots in six Mediterranean countries in Southern Europe and Northern Africa for three crop compositions: (a) with exclusively conventional practices, (b) with exclusively regenerative practices and (c) with mixed conventional and regenerative practices. Finally, we discuss in detail the scientific, institutional, economic and financial engineering challenges for the market uptake of regenerative farming and the contribution of REGENA for the achievement of this goal. In addition, as regenerative farming is knowledge-intensive, we review the vital aspect of Open Innovation (OI) and protected Intellectual Property (IP) business models as essential parts of regenerative farming knowledge-sharing clusters and trading alliances. Full article

Network security tools are indispensable in testing and evaluating the security of computer networks. Existing tools, such as Hping3, however, offer a limited set of options and attack-specific configurations, which restrict their use solely to well-known attack patterns. Although highly parameterizable libraries, such as Scapy, provide more options and scripting capabilities, they require extensive manual setup and often a steep learning curve. The development of powerful AI models, capitalizing on the transformer architecture, has enabled cybersecurity researchers to develop or incorporate these models into existing cyber-defense systems and red-team assessments. Prominent models such as NetGPT, TrafficFormer, and TrafficGPT can be effective, but require extensive computational resources for fine-tuning and a complex setup to adapt to proprietary networking environments and protocols. In this work, we propose AgentRed, a lightweight tool for generating network attack traffic with minimal human configuration and setup. Our tool integrates an AI agent and a large language model with fewer than a billion parameters into the network traffic generation process. Our method creates lightweight Low-Rank Adaptation (LoRA) adapters that can learn specific traffic patterns in a particular network environment. Our agent can autonomously train the LoRA adapters, search online documentation for attack patterns and parameters, and select appropriate adapters to generate network traffic specific to the user’s needs. It utilizes the LoRA adapters to create an intermediate traffic representation that can be parsed and executed by tools such as Scapy to generate malicious traffic in a virtualized test environment. We assess the performance of the proposed approach on six popular network attacks, including flooding attacks, Smurf, Ping-of-Death, and normal ICMP ping traffic. Our results validate the ability of the proposed tool to efficiently generate network packets with 97.9% accuracy using the LoRA adapters, compared to 95.4% accuracy using the base pre-trained Qwen3 0.6B model. When the AI agent performs online searches to enrich the LoRA adapters’ context during traffic generation, our method maintains an accuracy of 96.0% across all tested traffic patterns. Full article

This article examines whether, and under what conditions, there is room for new mosques in Belgian cities by analyzing how media controversies around mosque projects are assembled. We study a corpus of press articles (2014–2024) using a two-step approach: First, keyword mapping identifies dominant discursive patterns across six themes (mobility, legality, size and visibility, social cohesion and integration, security and extremism, financing). Second, argument coding links lexical signals to public modes of judgment through actor–network theory (ANT) and controversy registers. Applied to five case studies across Flanders, Wallonia, and the Brussels-Capital Region, this framework offers comparative depth. The results show that identity and security controversies frequently outweigh strict urban planning controversies; neutral planning criteria (e.g., traffic congestion, permit compliance) are often recoded as symbolic markers of alterity. Regional contrasts provide nuance to this pattern: in Flanders, politicization through security/identity is salient; in Wallonia, debates emphasize size, form, and spatial integration; in Brussels-Capital, technico-legal compliance intertwines with aesthetic visibility. Media operate as boundary objects that hierarchize registers and amplify controversies. We conclude that mosques are treated less as ordinary urban infrastructure than as contested symbols of belonging and visibility. Moving toward negotiated pluralism requires institutional mechanisms that ensure transparency, equal treatment, local anchoring, and symbolic requalification. Full article

Background: Tuberculosis (TB) remains a major global health problem, and the WHO central Africa region continues to bear the heaviest disease burden. Gabon is one of the high-TB-burden countries in the world; however, its national TB program performance remains weak despite financial support from international health agencies. Identifying and mapping high-TB- and multi-drug-resistant-TB (MDR-TB)-burden areas for targeted public health interventions was the objective of this study. Methods: A region-wide mixed method study was carried out, comprising ecological design and a desk review, with the use of medical records from TB diagnosis and care units in 12 health facilities located across the capital Libreville, Republic of Gabon, from 1 January through December 2022. Libreville is the region that bears the heaviest TB burden in Gabon. With the collaboration of the Agency for Space Studies and Observations (AGEOS, Gabon), collected data were transferred to and analyzed using QGIS software in order to develop satellite images. Results: In the Libreville health region, there were 4560 cases diagnosed in 2022, representing 77.9% of all cases in the country, with an annual incidence of 509 per 100,000. Spatial mapping of incident cases by county of residence showed that a large majority of the TB cases diagnosed at the CHUL care center in 2022 were from Nzeng-Ayong (range: 36–50 cases) and Owendo (26–35 cases), whereas higher TB incidence at the Nkembo care center was from Nzeng-Ayong (range: 356–455 cases) and Owendo (256–355 cases), followed by Nkembo, Akebe ville, Akebe Baraka, Akebe Plaine/plateau, Angondje, Angondje village, Charbonnages, Bikele, Pk11, Pk12, Pk9, Mindoube I, Mindoube II (66–255 cases), Sotega, and Nkok (46–65 cases). Other counties accounted for less than 45 TB cases. Considering MDR-TB cases, higher incidence was observed in Pk9 county, which accounted for six cases (14.6%), followed by Owendo, accounting for four (9.7%). Discussion: Findings suggest that Nzeng-Ayong and Owendo are high-TB-burden counties in Libreville, whereas Pk9 and Owendo counties are counties categorized as high-MDR-TB-incidence areas. They should be subject to targeted to public health interventions to enhance TB control in Libreville. Full article

The West African Sahel suffered an unprecedented hot season during spring 2024 especially marked by noticeable heatwave episodes in the urban context of Burkina Faso’s capital, Ouagadougou, where significant impacts were reported. These heat events are analyzed to link hazards with impacts and improve early warning systems in the under-recognized Sahel context. Using observational data from the Burkina Faso National Meteorological Agency and the European reanalysis, ERA5, anomalies of both daily maximum (Tmax) and minimum (Tmin) temperatures were analyzed. The results show that, during the first half of 2024, monthly Tmax and Tmin anomalies were highly positive compared to the reference period 1991–2020. A total of four daytime and one nighttime heatwave events were detected. The longest daytime heatwave lasted six days with observed Tmax reaching 44.5 °C. The unique nighttime heatwave was at least twice as long as the longest daytime heatwave, persisting 13 days between late April and early May. In addition, the heat was not evenly distributed spatially as some districts were significantly hotter than the rest of the city, suggesting possible urban/local effects. These results underscore the occurrence of exceptional heat in 2024 and the need for efforts towards heatwave risk mapping and management in African cities. Full article

This paper investigates whether carbon emission intensity influences capital formation in rent-dependent economies, using the Gulf Cooperation Council (GCC) as a case study. In contrast to conventional growth models, the study tests carbon lock-in as a driver, rather than an outcome, of investment in rentier states and links it empirically to resource curse mechanisms. Using panel data for six GCC countries over 2000–2022, we estimate a fixed effects investment model and use System GMM as a robustness check. Results show that a one standard deviation increase in CO₂ intensity is associated with a 2.27 percentage point increase in gross capital formation (GCF) (p < 0.01), consistent with carbon lock-in theory, while oil rents have a significant negative relationship with investment (coefficient = −0.271, p < 0.01), in line with resource curse dynamics. The study contributes by embedding carbon lock-in theory in a standard macro panel investment function, treating emissions intensity as a structural regressor alongside oil rents in the specific context of rentier states. A behavioural interpretation is also offered: high-carbon strategies persist because they continue to yield relatively high short-term returns under existing incentives, so investment systems tend to reinforce carbon-intensive pathways. These insights have implications for both theory and practice, suggesting that screening public projects by emissions intensity, greening sovereign wealth portfolios, and phasing out fossil subsidies may help break carbon-intensive investment inertia. Full article

Many studies have shown that flow, psychological capital (PsyCap), anxiety, and academic efficacy play significant roles in EFL learning, yet little attention has been paid to how these positive and negative states jointly shape learners’ PsyCap. Grounded in the broaden-and-build theory, this study investigated how flow, a state of deep engagement and enjoyment in learning, affected EFL learners’ PsyCap. A total of 1611 EFL learners at the CEFR B1–B2 levels from six universities in China participated in the study. Data were collected using validated questionnaires developed for this study that measured flow, foreign language classroom anxiety (FLCA), academic efficacy, and PsyCap, and analyzed using structural equation modeling (SEM) in AMOS. The results revealed that flow had a significant direct positive effect on PsyCap (β = 0.648, p < 0.001). Academic efficacy significantly mediated this relationship (β = 0.059, p < 0.001), and a significant chain-mediated path was observed through FLCA and academic efficacy (β = 0.023, p < 0.001). The total effect of flow on PsyCap was 0.729 (p < 0.001). These findings provide new insights into educational practices that can effectively enhance EFL learners’ PsyCap and academic achievement by facilitating flow and reducing anxiety. Full article

Digital technologies have rapidly penetrated rural China, transforming household economic structures and reshaping agricultural factor markets. Drawing on 3930 household-level observations from six provinces in the Yellow River Basin (2020–2023), this research aims to examine how digital technology adoption influences the optimal allocation of household labor, land, and capital. To address self-selection and endogeneity, we employed an Endogenous Switching Probit (ESP) model and conducted counterfactual analysis, supplemented by propensity score matching (PSM), instrumental variable probit (IV-Probit), replacement of the core explanatory variable, and exclusion of special samples as four robustness checks. The Average Treatment Effects on the Treated show that digital technology adopters would have reduced the probabilities of non-farm employment, farmland transfer-out, and productive loan access by 24.5, 19.3, and 16.7 percentage points, if they had not adopted digital technology. Similarly, digital technology non-adopters would have improved 27.4, 22.2, and 18.9 percentage points if they adopted digital tools. These impacts are stronger over time, in the upper reaches of the Yellow River Basin, among households with larger landholdings, and among younger farmers. Mechanism analysis further indicates that digital technologies expand information access, strengthen social networks, and ease credit constraints, thereby jointly promoting more efficient labor, land, and capital allocation. The policy implications of these findings are as follows: the importance of improving rural digital infrastructure, tailoring regional policies, and enhancing farmers’ digital skills to narrow the digital divide and support inclusive rural revitalization. Full article

We investigated tick infestations in stray dogs from Chișinău, the capital of the Republic of Moldova, focusing on tick species distribution, and pathogen infection rates. Ticks were collected from 232 stray dogs across six major urban parks in 2021–2022. A total of 443 ticks were collected, belonging to five species: Ixodes ricinus (43.8%), Dermacentor reticulatus (35.2%), Dermacentor marginatus (20.5%), Rhipicephalus sanguineus s.l. and Haemaphysalis punctata with only 1 specimen. Notably, 92.5% of ticks were adults, while only 7% were nymphs and <1% were larvae. On average, 44.4% of stray dogs were infested with ticks, with an overall mean intensity of ~4.3 ticks per infested dog. Tick burden varied by location: dogs in large, less-maintained parks carried the most ticks. Tick pathogen screening revealed 24.4% of ticks (108/443) carried at least one pathogen. The most frequently detected were Babesia spp. in 12.2% of ticks, Borrelia burgdorferi s.l. in 7.4%, Rickettsia spp. in 3.4%, Anaplasma spp. in 2.5%, and Ehrlichia spp. in 0.5%; 4 ticks harbored co-infections. We discuss implications for public health and animal welfare and recommend control measures such as integrated stray-dog management and vegetation maintenance in urban parks. Full article

Background/Objectives: Oman Vision 2040, the national blueprint for socio-economic transformation, aims to elevate the Sultanate to developed nation status, with the “Health” priority committed to building a “Leading Healthcare System with International Standards” via a Health in All Policies (HiAP) approach. This paper critically reviews Oman’s strategic health directions and implementation frameworks under Vision 2040, assessing their alignment with global Sustainable Development Goals (SDGs) and serving as a case model for health system transformation. Methods: This study employs a critical narrative synthesis based on a comprehensive literature search that included academic, official government reports, and international organization sources. The analysis is guided by the World Health Organization’s (WHO) Health Systems Framework, providing a structured interpretation of progress across its six building blocks. Results: Key interventions implemented include integrated governance (e.g., Committee for Managing and Regulating Healthcare), diversified health financing (e.g., public private partnership (PPPs), Health Endowment Foundation), and strategic digital transformation (e.g., Al-Shifa system, AI diagnostics). Performance metrics show progress, with a rise in the Legatum Prosperity Index ranking and an increase in the Community Satisfaction Rate. However, critical challenges persist, including resistance to change during governance restructuring, cybersecurity risks from digital adoption, and system fragmentation that complicates a unified Non-Communicable Disease (NCD) response. Conclusions: Oman’s integrated approach, emphasizing decentralization, quality improvement, and investment in preventive health and human capital, positions it for sustained progress. The transformation offers generalizable insights. Successfully realizing Vision 2040 demands rigorous, evidence-informed policymaking to effectively address equity implications and optimize resource allocation. Full article

This paper assesses the green tourism readiness of six EU member states from Central and Eastern Europe—Slovenia, Croatia, Slovakia, Hungary, Bulgaria, and Romania—using a hybrid multi-criteria decision-making (MCDM) model. As tourism sectors face increasing pressure to align with the European Green Deal and sustainability goals, integrating green skills, environmental protection, and institutional governance becomes essential. The study applies a three-step framework that combines the Analytic Hierarchy Process (AHP), Best-Worst Method (BWM), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate national performance across four criteria: natural capital, rural infrastructure, governance readiness, and green skills in vocational education and training (VET). Results show that environmental sustainability and governance are the dominant enablers of green tourism transformation, with Slovenia and Croatia leading in overall readiness. Although green skills have a lower relative weight, their integration significantly strengthens performance in more advanced systems. The hybrid model demonstrated methodological robustness through sensitivity and consistency checks. This research contributes to both methodological innovation and evidence-based policymaking by offering a replicable tool for evaluating sustainable tourism development in transition economies. It provides actionable insights for aligning education, tourism, and environmental policy within the broader EU green transition framework. Full article