Search Results (723)

This paper addresses the very important and topical issue of the effective and efficient implementation of green and energy transition processes, taking into account social aspects and energy security. Due to climate change and the geopolitical situation, these processes are currently priorities for most countries and regions of the world. The opportunity to achieve success in their implementation lies in the implementation of the Open Innovation concept in a new model developed and presented in this paper. Its essence is an identified group of stakeholders in the processes under study (science, business, state, society, environment) and their specific positions, roles, and relationships. It was also important to analyze the mechanisms of cooperation and interaction between stakeholders, defining key forms and directions, as well as ways of harmonizing them, leading to synergy in innovation processes. A significant stage of the work was also the development of a RACI role and responsibility matrix, which enabled the precise assignment of functions to individual stakeholders in the developed model. Key challenges, barriers (technological, regulatory, organizational, and social), and factors conducive to the coordination of cooperation and interests of the identified stakeholder groups were also identified. To deepen knowledge and better understand the dynamics of this cooperation, a matrix was also developed to assess priorities and their impact on the energy sector within the open innovation model. This tool enables the identification of diverse perspectives in relation to key criteria such as energy security, innovation, social participation, and sustainable development. In addition, a set of indicators (in five key categories of the innovation ecosystem) was developed to enable multidimensional measurement of the effectiveness, efficiency, and scalability of the open innovation model in the energy sector. They also allow for the study of the impact of these factors on the sustainable development, security, and resilience of energy systems. The developed and presented concept of a model of cooperation between stakeholders using the Open Innovation model in the energy industry is universal in nature and can also be used in other sectors. Its application offers broad opportunities to support the management of transformation processes, taking into account the innovative solutions that are necessary for the success of these processes. Full article

South Asia’s worsening air pollution crisis represents one of the most urgent public health and environmental challenges of the 21st century. Nearly two billion people—over one-quarter of the global population—reside in this region, where air quality levels routinely exceed World Health Organization (WHO) guidelines by factors of 10 to 15. This has translated into an unprecedented health burden, with approximately two million premature deaths annually, widespread chronic respiratory and cardiovascular disease, and rising economic losses. According to recent World Bank estimates, welfare losses amount to over 5% of regional GDP, a figure far exceeding the projected costs of coordinated mitigation. Despite this, South Asia continues to lack a binding regional framework capable of addressing its shared airshed. Existing cooperative efforts—such as the Malé Declaration on Control and Prevention of Air Pollution (1998)—have provided a useful platform for dialog and pilot monitoring, but they remain voluntary, under-resourced, and insufficient to manage the transboundary nature of the crisis. National-level programs, including India’s National Clean Air Programme (NCAP), Bangladesh’s National Air Quality Management Plan (NAQMP), and Nepal’s National Air Quality Management Action Plan (AQMAP), demonstrate domestic commitment but are constrained by fragmentation, limited financing, and lack of regional integration. This gap represents the central knowledge and governance challenge that prompted the present commentary. To address it, we propose a dual-track architecture designed to institutionalize binding regional cooperation. Track A would establish a United Nations-anchored South Asian Transboundary Air Pollution Protocol, under the auspices of the United Nations Environment Programme, the World Health Organization (WHO), and the United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP). This protocol would codify legally enforceable emission standards, compliance committees, financial mechanisms, and harmonized monitoring. Track B would establish a South Asian Association for Regional Cooperation (SAARC) Prime Ministers’ Council on Air Quality (SPMCAQ) to provide political leadership, align domestic implementation, and authorize rapid responses to cross-border haze events. Lessons from the Indian Ocean Experiment, the ASEAN Agreement on Transboundary Haze Pollution, and Europe’s Convention on Long-Range Transboundary Air Pollution demonstrate that legally binding agreements combined with high-level political ownership can achieve durable reductions in pollution despite geopolitical tensions. By situating South Asia within these global precedents, the proposed framework provides a pragmatic, enforceable, and politically resilient pathway to protect health, reduce economic losses, and deliver cleaner air for nearly one-quarter of humanity. Full article

The field of climate modeling is undergoing a significant transformation, moving away from the traditional General Circulation Models (GCMs) and toward the use of sophisticated artificial intelligence (AI)-based prediction systems. Research has shown that AI has the potential to improve climate modeling’s regional accuracy and computing efficiency. Machine learning downscaling better captures local precipitation extremes than GCMs, while hybrid AI–physics models cut ensemble costs by reducing computational demand without sacrificing accuracy. Nevertheless, these investigations have frequently functioned in discrete settings and oversimplified situations without a thorough connection with basic physical concepts. This drawback emphasizes the necessity of a more comprehensive strategy that can handle the intricacies of climatic variability and guarantee reliable model validation. In order to assess the possibilities and challenges of hybrid models in comparison to conventional GCMs, highlighting that AI complements GCMs in regional downscaling and extremes, while GCMs provide stronger global consistency, this study synthesizes proven climate models, AI methodologies, and their accuracy in climate predictions and analyzes existing climate models to evaluate the potential and limitations of hybrid models compared to traditional GCMs. Integrated AI-driven models show notable improvements in predicting regional variations in climate and accelerating simulation processes, especially when dealing with the growing presence of extreme weather occurrences. However, it is important to have consistent datasets and open evaluation procedures in order to guarantee accuracy and deal with the difficulties that come with model benchmarking. This research highlights how crucial it is to maintain interdisciplinary cooperation in order to properly utilize what AI has to offer in climate modeling. This partnership is essential to creating more accurate and useful climate projections, which will eventually guide successful mitigation and adaptation plans for a changing global environment. In order to have a greater understanding of our climate’s future, we must keep pushing the limits of the existing modeling tools. Full article

This article examines the legal and practical dimensions of religious education (RE) in Austria with a particular focus on interreligious education as an emerging pedagogical and societal response to increasing religious and cultural diversity. It begins by situating the discussion within Austria’s historical and constitutional framework, in which RE is governed as a res mixta—a joint responsibility shared between the state and legally recognized churches and religious societies (CRSs). The analysis highlights how this model of power-sharing is enshrined in both constitutional and ordinary legislation, granting CRSs extensive autonomy in the organization, content, and supervision of denominational RE. Despite the absence of explicit legal provisions for interreligious education, the article demonstrates that interreligious teaching practices can be implemented through cooperative arrangements between CRSs, particularly when aligned with national educational goals and international commitments to tolerance, religious freedom, and other human rights. It further analyses curricular references to interreligiosity across various denominational RE programs and discusses the institutional potential for integrating interreligious competencies into teacher training and school practice. Drawing on the example of the project Integration through Interreligious Education at the University Graz, a cooperative initiative between the Catholic Church and the Islamic Religious Society in Austria (IGGÖ) from 2017 to 2023, the article outlines how interreligious education was legally contextualized and contractually formalized. The article concludes that interreligious education, though legally unregulated, is both feasible and desirable within Austria’s current legal and educational framework. It calls for greater normative clarity and policy support to ensure the sustainability and broader implementation of such models, which foster mutual understanding and peaceful coexistence in a pluralistic society. Full article

This review article aims to provide an overview of the pathophysiology, diagnosis, and contemporary management of cardiac amyloidosis (CA) as well as identify the knowledge gaps and areas of potential research. CA can be divided into two main groups: transthyretin cardiac amyloidosis (ATTR-CA) and light chain cardiac amyloidosis (AL-CA). The former further separates into wild-type transthyretin (ATTRwt) and hereditary transthyretin (ATTRv). African Americans, males, and people older than 75 are the most common demographics affected by this disease. Thanks to an increased understanding of this disease combined with better diagnostic techniques, there is growing awareness and a surge of clinical trials aimed at improving outcomes of CA. The diagnosis and treatment of CA is multifaceted and complex, relying on multiple imaging modalities and the cooperation of specialists to deliver effective treatments. While some disease-modifying agents have been introduced recently, their extraordinary cost limits their benefit or they are supported by limited evidence. Other agents are currently undergoing phase 3 trials. To date, there is scarce data surrounding optimal diagnostic and treatment strategies, including a potential role for combination therapies. Critically, it is imperative that physicians develop close relationships with the patient that addresses not only their individual health needs but also their unique psychosocial situation. Therefore, more clinical trials, protocols and patient resources are needed to better inform and guide providers managing these complex patient needs. Full article

The Blue Economy has emerged as a vital framework for achieving sustainable economic diversification, environmental stewardship, and social resilience, particularly in regions facing ecological pressures such as the Gulf Cooperation Council (GCC). Despite its increasing recognition in national strategies, including Saudi Vision 2030 and the UAE’s Blue Economy Strategy 2031, scholarly research in the GCC remains fragmented and uneven. This study provides the first comprehensive bibliometric and thematic review of Blue Economy research in the region, analyzing publications produced between 2000 and 2025. The analysis reveals four dominant thematic clusters: fisheries and food security, governance and coastal policy, climate resilience and ecosystem restoration, and blue finance and economic diversification. At the same time, it identifies persistent gaps in social equity, gender inclusivity, traditional ecological knowledge, and regional coordination. By situating GCC research within broader global debates, the study underscores both the strengths and limitations of the current knowledge base. The findings contribute to academic debate and policy development by offering a conceptual framework that highlights inclusive governance, innovative financing, and nature-based solutions as key pillars for future research and practice. In doing so, the study provides a roadmap for advancing the Blue Economy agenda in the GCC and beyond. Full article

This study investigates the involvement of the Hellenic Police in the management of natural disasters. The legislation governing police participation in disaster management in Greece is based on the general framework of civil protection policy, outlining the responsibilities assigned to various agencies for handling emergency situations. The role of the Hellenic Police is particularly significant and proactive in both the prevention and management of natural disasters, with specific responsibilities and duties. Key areas of Hellenic Police involvement in disaster management include the following: 1. prevention and public awareness; 2. risk identification and management; 3. evacuation of areas, organized removal and relocation of citizens and traffic management; 4. cooperation and coordination with other authorities and services; 5. support for rescue teams; and 6. security and order in affected areas. Full article

In order to study the generation, management, and disposal status of waste mineral oil in China’s railway transport industry, this article takes the Beijing Railway Bureau and its subordinate Tangshan Locomotive Depot as the research objects and comprehensively applies the survey, case study, and statistical analysis methods to analyze the source of the generation of railway waste mineral oil, the distribution of the disposal enterprises and locomotive depots, the management mode, and the economic and environmental benefits of recycling waste engine oil. The results show that waste oil mainly originates from locomotive overhaul and maintenance. There is significant regional imbalance in the generation and disposal capacity of railway waste oil. The Beijing Railway Bureau can achieve the timely disposal of waste mineral oil and reduce transport risks. Waste mineral oil management integrates generation, storage, transfer, and disposal. If cooperation is initiated with waste oil disposal enterprises, the use of recycled oil can save up to RMB 178,600/year and reduce carbon emission by 76.42 tCO₂/year for this locomotive depot. In view of the current situation, the railway industry should improve the management and disposal deficiencies and explore the new model of waste oil reduction, reuse, and recycling. Full article

The integration of renewable energy into the grid has led to problems such as low utilization rate of energy storage resources (“underutilization after construction”) and insufficient system stability. This paper studied the co-evolution mechanism of power market entities empowered by shared energy storage. Based on the interaction among power generation enterprises, power grid operators, and government regulatory agencies, this paper constructed a three-party evolutionary game model. The model introduced a dynamic reward and punishment mechanism as well as a random interference mechanism, which makes it more in line with the actual situation. The stability conditions of the game players were analyzed by using stochastic differential equations, and the influences of key parameters and incentive mechanisms on the stability of the game players were investigated through numerical simulation. The main research results showed the following: (1) The benefits of shared energy storage and opportunistic gains had a significant impact on the strategic choices of power generation companies and grid operators. (2) The regulatory efficiency had significantly promoted the long-term stable maintenance of the system. (3) Dynamic incentives were superior to static incentives in promoting cooperation, while the deterrent effect of static penalties is stronger than that of dynamic penalties. (4) The increase in the intensity of random disturbances led to strategy oscillation. This study suggested that the government implement gradient-based dynamic incentives, maintain strict static penalties to curb opportunism, and enhance regulatory robustness against uncertainty. This research provided theoretical and practical inspirations for optimizing energy storage incentive policies and promoting multi-subject coordination in the power market. Full article

With the recent 5G communication technology deployment, Cellular Vehicle-to-Everything (C-V2X) significantly enhances road safety by enabling real-time exchange of critical traffic information among vehicles, pedestrians, infrastructure, and networks. However, further research is required to address real-time application latency and communication reliability challenges. This paper explores integrating cutting-edge C-V2X technology with environmental perception systems to enhance safety at intersections and crosswalks. We propose a multi-module architecture combining C-V2X with state-of-the-art perception technologies, GPS mapping methods, and the client–server module to develop a co-operative perception system for collision avoidance. The proposed system includes the following: (1) a hardware setup for C-V2X communication; (2) an advanced object detection module leveraging Deep Neural Networks (DNNs); (3) a client–server-based co-operative object detection framework to overcome computational limitations of edge computing devices; and (4) a module for mapping GPS coordinates of detected objects, enabling accurate and actionable GPS data for collision avoidance—even for detected objects not equipped with C-V2X devices. The proposed system was evaluated through real-time experiments at the GMMRC testing track at Kettering University. Results demonstrate that the proposed system enhances safety by broadcasting critical obstacle information with an average latency of 9.24 milliseconds, allowing for rapid situational awareness. Furthermore, the proposed system accurately provides GPS coordinates for detected obstacles, which is essential for effective collision avoidance. The technology integration in the proposed system offers high data rates, low latency, and reliable communication, which are key features that make it highly suitable for C-V2X-based applications. Full article

Ten years after the Paris Agreement the escalating global geopolitical turmoil and waning interest in climate change’s effects, posit cities again as critical arenas for addressing the global energy transition. Drawing on the concept of the city as a living entity, the role of energy at the urban scale is considered not only as a technical infrastructure but as a complex system embedded in the spatial, political, and social fabric. The energy transition is situated within the broader context of urban governance and spatial planning, arguing that energy should be considered a foundational urban good essential to everyday life and ensuring equitable development. The study adopts a conceptual and literature-based approach, synthesizing insights from urban studies, energy geography, and climate governance literature. Special attention is given to the Italian context, where a lack of coordination across European, national, and regional political levels hinders energy transition efforts. Key references include theoretical frameworks on urban metabolism, socio-technical systems, and planning innovation, focusing on the intersection of infrastructure, policy, and local agency. The findings highlight the need to reframe energy planning as an integral part of urban and territorial governance. While grounded in Italy, the study’s insights reveal how governance fragmentation and multi-level coordination barriers resonate with European urban energy challenges, offering transferable lessons for territories with complex political and spatial systems. This would help integrate energy concerns into urban design, reduce consumption through spatial organization, and foster civic and institutional cooperation for rapid, often unplanned local energy actions to respond more swiftly to crises than traditional planning mechanisms. As a result, embedding energy within urban policy and spatial design fosters co-evolution between energy production, behavioral change, and infrastructural transformation. Recognizing this is vital for global urban policy and planning to drive resilient, equitable transitions in a rapidly changing energy landscape. Full article

Land disputes pose a severe challenge for many developing countries worldwide. Understanding the driving factors of land disputes is crucial for social stability and sustainable development. China is one of the countries with the most severe situations of land disputes. This paper evaluates the land dispute intensity (LDI) across 30 provinces in China from 2011 to 2022. Using the GBDT model and interpretability methods, this study reexamines the importance of multidimensional variables in LDI, while also uncovering their nonlinear and interaction effects. The results show that LDI across 30 provinces generally and continuously increased after 2014, with this trend being notably curbed after 2019. In terms of the driving factors of LDI, the number of specialized farmers’ cooperatives plays the most critical role (mean |SHAP value| = 0.4). Variables such as share of primary industry, coverage of land transfer service centers, and agricultural product price index also exert a stronger influence on LDI. Clear nonlinear effects on LDI are observed for the agricultural product price index, the number of specialized farmers’ cooperatives, and the mediation rate of non-litigation disputes. In terms of interaction effects, when the mediation rate of non-litigation disputes is lower than 0.9, increases in the number of specialized farmers’ cooperatives and coverage of land transfer service centers tend to enhance their influence on raising LDI. When the ratio of cultivated land transfer is below 0.3, an increase in coverage of land transfer service centers is associated with a stronger effect in reducing LDI. Overall, this study uses the GBDT model, Shapley additive explanation (SHAP), and partial dependency plots (PDPs) to identify the main driving factors of land disputes. This paper can provide valuable references for developing countries and regions worldwide in addressing land disputes and conflicts. Full article

Water injection development represents the predominant development method for enhancing oil recovery (EOR) efficiency and achieving the balanced utilization of oil reservoirs. In light of the current situation of oilfield water injection technology, a comprehensive overview of the evolution of full-scale water injection technology is given, with particular emphasis on the influence of geological factors, technological advancements, and existing challenges. The principal issues currently encountered include an unequal distribution of layers, the complexity of subdivision, casing deformation, and damage to deep well equipment, which collectively impede the effective implementation of subdivision water injection development technology. The novelty of the research lies in the current development status of full-scale injection wells, which is not only reflected in the depth-scale, but also in the operational difficulty-scale. A thorough exploration of subdivision water injection development technologies has been conducted, and the applicability and limitations of these technologies in diverse reservoir conditions have been evaluated. The proposal is for intelligent injection technology to be adopted for medium–shallow heterogeneous wells, and for ball-pitching plugging profile control technology to be adopted for deep/horizontal/special condition wells. A comparative analysis was conducted to evaluate the characteristics, application scenarios, advantages, and disadvantages of intelligent injection technologies, demonstrating its intelligence, automation, and precision in the practical application. In regard to the ball-pitching plugging profile control technology, the design and performance of the plugging ball, the plugging mechanism, and the application effect were elucidated. Based on the existing challenges in the realm of water injection development, the research prospects for full-scale subdivision water injection development technologies were proposed, and the importance of interdisciplinary cooperation and the integration of artificial intelligence technology were also emphasized. This research would provide a technical foundation for increasing oil displacement efficiency, markedly augmenting EOR, and would also be imperative for improving the economic benefits and alleviating the global oil resource tension. Full article

Non-cooperative spatial target detection plays a vital role in enabling autonomous on-orbit servicing and maintaining space situational awareness (SSA). However, due to the limited computational resources of onboard embedded systems and the complexity of spaceborne imaging environments, where spacecraft images often contain small targets that are easily obscured by background noise and characterized by low local information entropy, many existing object detection frameworks struggle to achieve high accuracy with low computational cost. To address this challenge, we propose YOLO-GRBI, an enhanced detection network designed to balance accuracy and efficiency. A reparameterized ELAN backbone is adopted to improve feature reuse and facilitate gradient propagation. The BiFormer and C2f-iAFF modules are introduced to enhance attention to salient targets, reducing false positives and false negatives. GSConv and VoV-GSCSP modules are integrated into the neck to reduce convolution operations and computational redundancy while preserving information entropy. YOLO-GRBI employs the focal loss for classification and confidence prediction to address class imbalance. Experiments on a self-constructed spacecraft dataset show that YOLO-GRBI outperforms the baseline YOLOv8n, achieving a 4.9% increase in mAP@0.5 and a 6.0% boost in mAP@0.5:0.95, while further reducing model complexity and inference latency. Full article

The manufacturing supply chain has been exposed to natural disasters and geopolitical risks whose impacts, such as disruptions in the supply of materials and parts, can be devastating. In recent years, the data space has become more widely implemented, and it is expected to be used as a platform for widespread collaboration between companies. This article discusses how companies participating in the manufacturing supply chain cooperate to recover from disruption and mitigate risks using a data space platform and a flexible manufacturing system. Employing enterprise architecture modeling, we explore a comprehensive strategy for enhancing the resilience of a data space-based manufacturing supply chain. The proposed strategy adopts a comprehensive approach to addressing physical security and cybersecurity risks from a security perspective. By combining enterprise architecture modeling with the Unified Architecture Framework and conducting a scenario-based simulation, we discovered that an alternative manufacturing process with a flexible method in the data space can be a key security control measure for mitigating the risk associated with parts supply. The results of the alternative manufacturing simulation show that flexible manufacturing using BJT and MIM methods elicits better performance in terms of parts production volume and cost compared with conventional methods. The proposed method and the findings of this study contribute to consolidating a profound understanding of security and the mitigation of disruptive situations in a data space-based manufacturing supply chain. Full article