Search Results (964)

Cultural heritage, with its humanistic values, is seen as a tool for preserving historical memory and reinforcing cultural identity, while its socio-economic values have a significant impact on the tourism industry. However, the contemporary global context, characterized by rapid and often unsustainable development, has intensified challenges such as tourism massification, urbanization, and climate change. To address these challenges, the authors assume that contemporary society should find a balanced development model in which heritage management becomes an integrated part of sustainable tourism practices. Although the relationship between heritage, tourism, and sustainability has been extensively explored for more than four decades, existing research remains fragmented and lacks an integrated conceptual framework that systematically explains the interconnections between sustainable tourism and heritage management. Therefore, the main goal of this paper is to develop a conceptual framework and conduct a comprehensive literature review that synthesizes these processes, contributing to the existing body of knowledge and addressing identified research gaps. The conducted research indicates that contemporary approaches should enhance integrated heritage management plans, effective visitor management strategies, carrying capacity assessments, and continuous monitoring of tourism impacts. In this context, sustainable tourism and heritage management represent a coordinated process of planning and governance aimed at ensuring the long-term conservation of cultural and natural heritage resources while enabling responsible tourism development. By reviewing and synthesizing existing literature, this paper contributes to the theoretical advancement of sustainable tourism and heritage management studies through the development of an integrated conceptual framework that addresses existing research gaps and incorporates contemporary academic insights. Full article

Cyberattacks increasingly generate systemic economic and geopolitical effects in an era of dense global interdependence. While prior research emphasises geopolitical rivalry, institutional capacity, and technological sophistication as determinants of national cyber risk, less attention has been given to structural vulnerabilities arising from countries’ positions within global economic networks. This study advances a relational theory of national cyber risk, arguing that structurally central countries provide greater systemic leverage to attackers because disruptions to highly accessible nodes can propagate widely across interconnected trade systems. Using annual bilateral trade data from 2010 to 2020, we construct directed, weighted global trade networks and derive centrality measures capturing accessibility, brokerage, and embeddedness. These indicators are linked to country-level cyber incident data to evaluate both the probability and intensity of cyberattacks. Logistic and negative binomial models with lagged network metrics show that countries occupying more accessible positions face significantly higher cyberattack risk. The findings demonstrate that national cyber vulnerability emerges from relational exposure within interconnected economic systems, underscoring the importance of systems-based cybersecurity risk assessment. Full article

Following successful applications in inland water bodies, floating photovoltaics (FPV) developers are now targeting offshore sites. This advancement requires numerical tools that can quantify the hydrodynamic performance of large-scale FPV farms. The existing wave-diffraction solver DIFFRAC was extended to simulate the response of a large number of interconnected floating objects on a supercomputer. The applicability is demonstrated by simulating a 2 MWp offshore solar farm, consisting of 3660 FPV modules moored inside a protective ring of 32 interconnected floating breakwaters (FBWs). The FPV motions and loads on FPV connectors in regular and irregular waves are compared to a reference case without FBW protection. Results show an average reduction in axial FPV connector loads in the setup with FBW ring, but local load enhancements occur due to dynamic amplifications of horizontal FPV module motions. Vertical loads and overturning moments onto FPV connectors are globally reduced by up to 50% in steep irregular seas but are locally enhanced due to standing waves that develop inside the ring. The insights of the hydrodynamic behaviour lead to recommendations for improving the farm configuration to further reduce fatigue and survival loads onto FPV modules and connectors. Full article

We present a comprehensive general relativistic analysis of the Lemaître–Tolman–Bondi (LTB) metric, incorporating a cosmological constant $\mathrm{\Lambda }$ and a central pointlike mass $M_{\mathrm{d}}$ at the geometric origin. Within this framework, $M_{\mathrm{d}}$ is identified as the material source of dark matter in cosmology, yielding a scale-dependent total matter–density parameter ${\mathrm{\Omega }}_{\mathrm{m}}\left(L\right)$ characterized by an $L^{-3}$ decay of its dark component ${\mathrm{\Omega }}_{\mathrm{d}}\left(L\right)$. We demonstrate that the Hubble and $S_8$ tensions are not independent anomalies but interconnected consequences of spacetime inhomogeneity. These discrepancies arise from a combination of physical and methodological factors: the probing of radial gradients at different characteristic scales and the subsequent interpretation of these data through a global FLRW template. This approach, compounded by the practice of isotropic sky averaging, masks the underlying LTB geometry and converts the physical variation of the manifold into the observed cosmological tensions. Our framework provides a self-consistent geometric explanation for current anomalies while preserving the Copernican principle, identifying the crisis in cosmology as arising from the application of homogeneous models to a manifold characterized by radial gradients and scale-dependent dynamics, where the observer and probes reside within the same inhomogeneous regime. Full article

Jordan is among the most water-stressed countries globally, with renewable freshwater availability falling below 100 m³ per capita per year. The Jordan Valley (JV), the country’s primary irrigated agricultural corridor, faces interconnected pressures across water, energy, food, and ecosystem (WEFE) systems under intensifying climatic and demographic stressors. This study evaluates the integrated performance of the WEFE nexus in the Jordan Valley using updated evidence (2018–2023) to quantify cross-sector interactions, performance gaps, and intervention priorities. A mixed-methods empirical assessment integrated quantitative sectoral data on water supply–demand and quality, electricity supply–demand and renewable deployment, agricultural productivity, and ecosystem pressure indicators, complemented by Living Lab–based stakeholder interviews. Sectoral indices were calculated based on supply–demand adequacy and aggregated into an overall WEFE Nexus Index. Results indicate persistent water scarcity, with a domestic supply of 23.48 MCM yr⁻¹ versus demand of 26.00 MCM yr⁻¹ (deficit −2.52 MCM yr⁻¹) and irrigation supply of 206 MCM yr⁻¹ relative to approximately 400 MCM yr⁻¹ demand (deficit −194 MCM yr⁻¹). Water services account for 14% of national electricity consumption, while solar pumping provides approximately 40% of daytime irrigation energy. Agricultural productivity is constrained by salinity and water quality, resulting in yield gaps (e.g., greenhouse vegetables: 4.7 vs. 10.0 t/dunum). Sectoral performance is uneven (Water 0.71; Energy 1.00; Food 0.45; Ecosystem 0.50), yielding an overall WEFE Nexus Index of 0.63 (0.50 after efficiency adjustment). Climate projections indicate continued warming (+1.8 °C) and declining precipitation (−11%) by 2060. Water harvesting, integrated renewable-powered water services, wastewater reuse, salinity management, climate-smart agriculture, and ecosystem restoration are critical to enhancing climate-resilient resource security in the Jordan Valley. The WEFE index developed here offers a tool for integrated planning and underscores that achieving climate-resilient resource security in the Jordan Valley will require strategic, cross-sector interventions and adaptive governance rather than sector-specific fixes. Full article

National competitiveness has become a central policy concern for resource-dependent economies pursuing structural transformation. Saudi Arabia’s Vision 2030 represents a comprehensive national strategy aimed at diversifying the economy, upgrading productivity, and strengthening institutional capacity. Despite extensive discussion of individual reforms, there remains a lack of integrated, theory-guided analysis that explains how these changes interact systemically at the national level. This study addresses this gap by applying Porter’s Diamond Model as a conceptual descriptive analytical framework to examine Saudi Arabia’s economic transformation. The analysis treats the Diamond determinants—factor conditions, demand conditions, related and supporting industries, and firm strategy, structure, and rivalry—as an interconnected system shaped by government intervention. Drawing on secondary data from official policy documents, international competitiveness indicators, (including the Global Innovation Index, IMD World Competitiveness Rankings, Logistics Performance Index, and Worldwide Governance Indicators), and institutional reports, the study maps key reform dynamics onto each determinant and examines their cross-determinant interactions and feedback loops. The findings suggest that Saudi Arabia has made substantial progress in upgrading factor conditions and generating sophisticated domestic demand, while systemic challenges remain in firm level rivalry and innovation ecosystem depth. The study highlights that sustainable national competitiveness depends on coordinated upgrading across all determinants rather than isolated reforms. By reframing Porter’s Diamond as a dynamic, systems-oriented analytical tool, this paper contributes to the literature on national competitiveness in transformation economies and provides policy relevant insights for advancing productivity driven growth under Vision 2030. Full article

Dirofilaria immitis constitutes a significant global veterinary burden and an emerging zoonotic risk. Despite decades of study, the structural evolution of its scientific landscape remains unexplored. This study provides a comprehensive longitudinal analysis of global research on D. immitis to evaluate its trajectory, intellectual structure, and conceptual shifts over the last eight decades. A systematic bibliometric analysis was conducted following PRISMA guidelines adapted for bibliometrics. Data were retrieved from Web of Science Core Collection and Scopus, covering the period from 1945 to 2025. After deduplication and manual screening, a final corpus of 3589 documents was analyzed using performance indicators and science mapping techniques to assess growth patterns, geographic leadership, collaboration networks, and thematic evolution. The field exhibits a mature profile with a sustained mean annual growth rate of 2.39%. Production is geographically polarized, with the United States and Italy acting as the primary research hubs, though international collaboration networks are increasingly integrating endemic regions in the Global South. Thematic analysis reveals a profound paradigm shift: while early research (1945–1980) focused on parasite morphology and clinical description, the 21st century is characterized by a multidisciplinary approach dominated by molecular biology, the study of the endosymbiont Wolbachia, and the genetic mechanisms of macrocyclic lactone resistance. The intellectual structure is currently organized into distinct but interconnected clusters, linking established clinical pathology with emerging genomic and environmental control strategies. Research on D. immitis has evolved from a classical parasitology discipline into a complex biomedical ecosystem aligned with the One Health framework. The persistence of the disease, driven by drug resistance and climate-mediated vector expansion, has catalyzed a transition toward integrative research models. Future control strategies must transcend geographic borders, combining advanced genomic surveillance with ecological modeling to mitigate the impact of this transboundary disease on both animal and human health. Full article

The objective of this study is to explore the time-varying shock transmission mechanism between aggregated financial stress indices (FSIs) of developed economies (the U.S., the U.K., the European Union (EU) and Japan) and the emerging economy of China. We employ a novel Time-Varying Parameter Vector Auto-Regression (TVP-VAR)-based “connectedness approach” to capture dynamic shock spillovers without the limitations of arbitrarily chosen rolling windows, loss of observations, or excessive sensitivity to outliers, as it is grounded in a multivariate Kalman filter structure. The aggregated measures of the FSIs of China, the U.S., the U.K., the EU and Japan are incorporated from the Asian Development Bank’s data repository by using time-series observations from January 2010 to September 2023. The findings indicate that the FSI of China is influenced by financial stress shocks originating from Japan (18.35%) and the U.S. (16.86%) the most, whereas the U.K. (EU) contributes to only 8.42% (6.54%) of FSI shocks in China. This research article significantly captures China’s heightened vulnerability to external financial stress shocks from developed economic systems and underscores the critical importance of reinforcing financial resilience, strengthening macro-prudential regulations and early-warning systems, and expanding financial buffers during episodes of trade uncertainty like restrictions on China’s rare earth exports and solar panels, U.S. restrictions on industrial metal imports, Brexit, supply chain disruptions amid COVID-19, and geopolitical uncertainties like the Russia–Ukraine war. Overall, this study provides actionable guidance for mitigating the impact of global financial stresses, improving risk management, and safeguarding economic stability in an increasingly interconnected and volatile international environment. Full article

The development of antimicrobial resistance (AMR) and the emergence of multiresistant pathogens represent a growing global threat to both human and animal health. Beyond the excessive and improper use of antimicrobials in human medicine, irrational use in veterinary medicine, agriculture, and aquaculture significantly contributes to the selection and spread of resistant microorganisms, which can enter the food chain and reach humans through food consumption or handling. Based on results from a recent meta-analysis, the prevalence of antimicrobial-resistant foodborne pathogens in food samples exceeds 10%. The veterinary sector is of particular concern, as a large proportion of antimicrobials are used in animal production, generating strong selective pressure and favoring the dissemination of AMR along the food chain. In an increasingly interconnected global context, resistant pathogens and resistance determinants can disseminate rapidly across sectors and national borders, making strategies confined to a single sector insufficient; therefore, effectively addressing AMR requires a One Health approach encompassing the human, veterinary, and environmental domains. Key mitigation strategies include strengthening antimicrobial stewardship programs, also in animal production, reducing routine prophylactic use of antimicrobials, and improving surveillance, coordinated across sectors and, where possible, further supported by advanced technologies such as artificial intelligence and machine learning. Further efforts are also needed to improve microbiological diagnostics, particularly through rapid and molecular methods, to support timely, targeted therapies and reduce inappropriate empirical treatments. In parallel, investment in new therapeutic options, including innovative molecules, drug combinations, and alternative approaches, remains crucial to effectively countering the growing burden of antimicrobial resistance. Full article

Background: Video gaming is a highly prevalent leisure activity globally, with complex associations across multiple health domains. Methods: This narrative review critically appraised the existing literature identified through targeted searches of PubMed and Google Scholar to synthesise evidence on associations between video gaming and psychosocial stress, physical activity, sleep quality, eating behaviour, and diet quality. Theoretical, biological, and psychosocial mechanisms underlying these relationships were examined, and methodological limitations and research gaps were identified. Results: The relationships between video gaming and health outcomes appear bidirectional and context dependent. While video gaming may provide short-term stress relief and social connection, frequent or prolonged gaming may be associated with sedentary behaviour, physical inactivity, impaired sleep quality, disrupted eating patterns, and poorer diet quality. These associations may vary by age, sex, gaming duration, timing, content, and motivational drivers. Gaming-related cognitive absorption and physiological arousal may influence appetite regulation, sleep onset, and stress responses, while temporal displacement and environmental factors, such as food availability and marketing exposure, also contribute. Conclusions: An integrated biopsychosocial framework is proposed to describe the interconnected pathways through which video gaming may influence health, incorporating biological arousal, psychological immersion, and social and environmental contexts. Significant gaps remain, including the scarcity of longitudinal studies, limited consideration of moderating factors, and inconsistent measurement of gaming behaviours. Addressing these gaps is essential for refining public health surveillance and supporting the development of evidence-based strategies that promote healthy gaming behaviours while preserving potential psychosocial benefits. Full article

Managing supply chain risks is a core pillar of operational and supply chain resilience building in the global industrial chain system, which is essential for the high-quality and sustainable development of manufacturing firms. Against the backdrop of escalating global economic uncertainties and interconnected supply chain vulnerabilities, mitigating the adverse impact of supply chain risks on firms’ overseas market expansion has become a critical research and practical issue in the field of operational and supply chain risk management. Based on the textual analysis of annual reports of listed firms, this study constructs a systematic supply chain risk measurement indicator system through standardized text preprocessing, multi-dimensional feature keyword lexicon construction, context co-occurrence frequency calculation and so on. We further validate the effectiveness of the indicator system by comparing its trend with the global economic uncertainty index, confirming that it can capture firm-specific supply chain risk information effectively. Employing text analysis, this study constructs a systematic supply chain risk measurement indicator system for A-share manufacturing firms and empirically verifies that elevated supply chain risks significantly constrain their overseas market expansion. Three interrelated operational mechanisms, namely surging operating costs, tightened financing constraints, and slumping R&D investments, drive this inhibitory effect. Notably, firms can effectively offset this negative effect by broadening overseas operational scope and intensifying overseas digital and technological innovation. Heterogeneity analyses further reveal that the inhibitory effect is more pronounced for five types of firms: those with lower overseas revenue, located in less market-oriented regions, operating in upstream value chain sectors, with lower current liabilities, and with a lower degree of digital transformation. Full article

The smart city represents a new stage in urban evolution, driven by technological progress, social transformations, and the increasing emphasis placed on sustainability. This metamorphosis generates hub-type architectural models, used not only for data collection and interconnection but also for the management and monitoring of people, resources, and urban services. This discussion addresses how digital urbanism has followed different paths globally by synthesising technological, economic, social, and governance perspectives. Compared with traditional models of urbanisation, new smart cities are built not only for digital interconnection but also to be citizen-centred, environmentally friendly, and resilient to global crises. This article analyses recent scientific literature on the theoretical and practical foundations of technologies that support data-driven decision-making, infrastructure efficiency, and the delivery of inclusive public services. At the same time, major challenges are highlighted, such as the lack of system interoperability, information fragmentation, and the risks associated with excessive surveillance, which can generate social exclusion, as well as financial and political constraints. International examples from Helsinki, Barcelona, Dubai, and Singapore offer both models that have achieved success and critical lessons about the limits of these approaches. This paper is not limited only to the problems faced by smart cities. It also highlights the opportunities they can bring. Finally, based on the conclusions of the analysis carried out and the identified trends, a strategic framework is proposed, oriented towards responsible innovation, collaboration, and sustainability. This approach contributes to informing researchers, decision-makers, urban planners, and the public interested in the transformation of the urban environment. Full article

Infectious diseases continue to represent one of the most persistent challenges in human health and agricultural productivity. These diseases are caused by a wide range of pathogenic microorganisms, including bacteria, fungi, viruses, and parasites. Antimicrobial resistance, or AMR, is the gradual evolution of pathogenic microbes to evade the action of commonly used antimicrobial agents (antibiotics, antifungals, antivirals, and antiparasitics) and is a problem that continues to be exacerbated by the inappropriate use of antimicrobials across multiple global industries. AMR poses a major threat to our society, and without mitigation, will lead to devastating consequences with broad implications beyond human health. The search for alternative or complementary therapies to conventional antimicrobials is, therefore, of the utmost priority. In this review, we first outline the prevalence of AMR and the circumstances driving the proliferation of AMR, which is widely recognised as a One Health issue—through interconnected factors within human and veterinary medicine, agricultural practice, and the environment. We next summarise the various classes of pathogens, common antimicrobial agents, and the mechanisms which pathogens have evolved to evade antimicrobial action. Within this context, we discuss the therapeutic potential of bacteriophages, virophages, and mycoviruses against antimicrobial-resistant infections, and consider the future perspectives of virus-based formulations. Full article

This study examined the ‘too central to fail’ concept in the South African equity sector. We employed the Granger causality framework and PageRank algorithm to generate the centrality scores of the sectors on the Johannesburg Stock Exchange under extreme market conditions. Using the realized volatilities of sectoral returns for the full sample period (3 January 2006–31 December 2021), as well as during the global financial crisis (GFC), European debt crisis (EDC), COVID-19 pandemic, and US–China trade war sub-periods, we analyzed the sectors’ interconnections and calculated each sector’s centrality score across the entire sample and under different extreme market conditions. This allowed us to rank sectors relative to their centrality scores. The results indicate that, in the full sample, the insurance sector has the highest PageRank centrality score, suggesting it is too central to fail. This implies that the insurance sector acts as a systemic receiver of risks and provides stability within the network of sectors. However, the sub-period analyses reveal that General Industrial and Automobiles emerged as the key sectors with the highest PageRank centrality scores, and shocks from other sectors can disproportionately affect these industries during crisis periods. Underperformance in these sectors could have destabilizing effects on the South African economy. The findings have significant implications for regulators and policymakers, portfolio and fund managers, local and international investors, and researchers in the field of finance. Full article

Background/Objectives: Chronic kidney disease (CKD) is one of the fastest-growing non-communicable diseases globally, with a disproportionate burden in populations undergoing rapid dietary and epidemiological transitions. Beyond traditional clinical risk factors, increasing evidence from nutritional epidemiology suggests that contemporary dietary environments may play a significant role in shaping CKD risk, complications, and progression. This narrative review examines CKD as a potential unintended consequence of global dietary transitions, with particular emphasis on ultra-processed foods and overall diet quality. Methods: A structured narrative review was conducted using evidence from prospective cohort studies, systematic reviews, meta-analyses, and mechanistic research. Findings were synthesized within a population-health framework integrating dietary patterns, food processing classification, and biologically plausible pathways relevant to kidney health. Results: Healthier dietary patterns, including Mediterranean, DASH, and plant-forward diets, are consistently associated with lower risk of incident CKD, slower kidney function decline, and reduced mortality. In contrast, Western dietary patterns characterized by high intake of ultra-processed foods are linked to increased CKD risk and adverse cardiometabolic outcomes. Beyond mediators such as hypertension, diabetes, and obesity, emerging mechanisms include dietary acid load, gut dysbiosis and uremic toxin production, sodium density, and exposure to highly bioavailable phosphate additives. Conclusions: Dietary transitions toward ultra-processed, low-fiber, sodium- and additive-rich food environments may contribute to the growing global burden of CKD through interconnected metabolic, inflammatory, and gut–kidney pathways. Improving diet quality and addressing food processing at the population level represent promising opportunities for CKD prevention and risk reduction. Full article