Search Results (7,834)

Abies koreana Wilson (Korean fir) and Abies nephrolepis (Trautv. Ex Maxim.) Maxim. (Khingan fir) are ecologically and economically significant coniferous species in East Asia. However, morphological similarities and hybridization complicate species identification, affecting conservation, forestry management, and commercial activities. Here, we developed a species-specific DNA marker using single nucleotide polymorphisms (SNPs) within the mitochondrial nad5 intron 1 region to discriminate between A. koreana and A. nephrolepis. In particular, PCR amplification and sequencing analyses of candidate drought and heat stress-responsive genes as well as mitochondrial nad5 intron 1 and nad5 intron 4 revealed a species-specific T-to-G substitution in nad5 intron 1. Allele-specific primers were designed, and competitive allele-specific labeled light emission technology was employed for SNP detection. The primers were validated using real-time PCR, achieving high specificity and reliability. Overall, the molecular diagnostic tool offers a practical solution for accurate species identification, aiding conservation efforts and sustainable resource management. Full article

The medical device manufacturing industry in Mexico faces a critical risk of losing competitiveness and sustainability due to its concentration on low-value-added manufacturing activities and limited integration into advanced stages of the value chain, such as R&D. This research addresses the lack of validated quantitative methodologies to identify the critical factors that promote sectoral sustainability in the national context. Through a literature review and the analysis of MCDM, a taxonomy of the problem was developed that integrates dimensions of governance, technological innovation, and human capital. The findings emphasize the need to transition toward circular economy and additive manufacturing models, supported by hybrid algorithms such as AHP, TOPSIS, and DEMATEL to mitigate uncertainty in strategic decision making. As a main result, an innovation management flow aligned with international standards and several maturity levels (TRLs, MRLs, CRLs, and PRLs) is proposed, providing a structured roadmap to scale the Mexican industry toward more-sophisticated global segments. Full article

The article provides a wide-range review of issues concerning the evolving of infrastructure for the purpose of transport system decarbonization, which is one of the crucial directions on the path to achieving carbon neutrality. Transport systems contribute, according to various statistics, between 20 and 25% of global carbon dioxide emissions, making the development of sustainable infrastructure one of the crucial issues for achieving net-zero goals. By synthesizing 135 studies published between (2022) and (2026), the paper investigates research on following key fields: (1) low-emission conveyances, infrastructure for their refueling, and its availability; (2) policy and strategies for transport decarbonization and plans concerning technologies for low-carbon means of transport, (3) management systems for organization of transportation, including Intelligent Transport Systems and smart mobility; (4) crisis management in green transport systems—investigations and solutions connected to ensuring the systems’ continuity in critical situations; and (5) research on the costs of transportation decarbonization, economic analysis and optimization of costs associated with the development of low-emission transport. The analyzed literature shows the extraordinary importance of the transport decarbonization problem and presents a wide range of conducted studies and applications being implemented. The findings indicate fields, for which the complexity and completeness of works seem to be satisfactory, but also show sectors within which certain research gaps do still exist. The outcomes of the work indicate policy and technological pathways that can lead to improving the sustainability of infrastructure for decarbonized transport systems, together with some proposals of the scope of research directions that should be carried out. Full article

Backgroung: The confluence of the Internet of Things (IoT) and the Physical Internet (PI) is a major accelerant of Logistics 4.0, which can provide significant upsides to supply chain performance. While prior reviews mainly concentrated on technological advancement and applications, limited consideration has been given to the mechanisms through which the PI-IoT system integration generates benefits, namely operational, economic, and environmental benefits. Methods: To fill this gap, this study undertakes a systematic literature review of 43 peer-reviewed studies guided by PRISMA. This study uses the Context, Intervention, Mechanism, Outcome (CIMO) framework to automatically conduct a mechanism-based synthesis of PI-IoT integration, unlike previous reviews. Results: The results show that enhanced operational and economic efficiency, as well as environmentally sustainable performance, can be achieved by using real-time visibility, predictive decision-making, collaborative resource optimization, intelligent automation, and adaptive system responsiveness. Conclusion: This review also proposes a conceptual framework, linking contextual conditions, technological interventions, mechanisms, and outcomes, while also identifying important research gaps and future research directions. This study offers essential findings that offer practical insights for researchers, logistics managers, and policymakers intending to implement collaborative, data-driven, and sustainable PI-IoT-enabled logistics systems. Full article

The study aims to identify and analyze the structural distribution of artificial intelligence-based solution (AIBS) application areas in modern enterprises, with particular emphasis on assessing the degree of concentration of reported AI application domains and their potential contribution to sustainable organizational development. The empirical study was conducted in 2025 using a questionnaire survey administered to 325 enterprises. Respondents were allowed to indicate multiple AI application areas, resulting in 668 valid AI application indications. Descriptive statistics, Pareto analysis, and the Herfindahl–Hirschman Index (HHI) were applied to examine the concentration of reported AI application areas. The results indicate that AI applications are unevenly distributed across organizational functions, with the highest concentration occurring in business and management, education, media and marketing, and information technology and cybersecurity. The calculated HHI value of 0.1639 indicates a moderate concentration of AI application areas, suggesting that organizations prioritize selected domains where AI can generate the greatest organizational and strategic value. From the perspective of sustainable development, the findings indicate that AI deployment supports more efficient resource allocation, organizational adaptability, data-driven decision-making, and digital transformation, which constitute important foundations of sustainable enterprise development. The HHI was used exclusively as a structural measure of concentration and does not assess the level, maturity, intensity, or quality of AI implementation within enterprises. Although the findings relate only to the analyzed sample, the study contributes to the literature by introducing a concentration-based analytical perspective on AI application areas and provides practical guidance for organizations seeking to implement AI in ways that support long-term sustainable development. Full article

This study examines how tourism platform ecosystems have evolved into mechanisms supporting sustainable, resilient, and digitally transformed tourism systems amid rapid advances in artificial intelligence (AI), immersive technologies, and data-driven platform governance. While previous research has extensively explored smart tourism technologies and digital transformation, limited attention has been devoted to understanding how tourism platforms have evolved from digital infrastructures into ecosystem-level coordination mechanisms shaping sustainability, resilience, adaptive governance, and digitally mediated stakeholder interactions in tourism marketing. To address this gap, the study develops a longitudinal evolutionary analysis of tourism platform ecosystems by combining a bibliometric analysis of 447 Web of Science-indexed publications (2015–2026) with an exploratory discourse analysis of Booking.com corporate communications. The findings reveal a progressive transformation of tourism platforms from digital infrastructure ecosystems (2015–2019) to adaptive coordination systems (2020–2022) and, ultimately, to AI-driven intelligent ecosystem orchestrators (2023–2026). Across these stages, tourism research increasingly integrates AI-enabled personalization, conversational interaction, immersive technologies, ecosystem governance, sustainability coordination, destination resilience, predictive analytics, and customer engagement. The study proposes a longitudinal evolutionary framework explaining how tourism platforms transition toward intelligent ecosystem orchestration supporting sustainability-oriented governance, adaptive destination management, personalized visitor experiences, and long-term competitiveness. The framework advances an ecosystem intelligence perspective that extends existing digitalization and technology-adoption narratives within tourism research. Full article

Construction projects are increasingly complex, fragmented, and data-intensive, making cross-organizational collaboration routine while leaving teams “information-rich but knowledge-poor”; that is, large volumes of drawings, BIM models, meeting records, site reports, and sensor data are produced, but they are not always transformed into reusable, context-sensitive knowledge for future decisions. To consolidate dispersed evidence and capture the shift from digital to intelligent knowledge sharing (KS), this study conducts a PRISMA-guided systematic literature review of KS in construction project management from 2015 to 2025. Through quantitative and qualitative analyses of 163 core articles, this paper identifies five central themes: organizational and behavioral mechanisms, performance–innovation–sustainable value, digital technology empowerment, knowledge mechanisms and organizational learning, and risk–supply chain–governance and security. The study also synthesizes key challenges in knowledge sharing and outlines future research directions. These findings provide guidance for researchers, practitioners, and policymakers seeking efficient, credible, and sustainable systems to enhance project management effectiveness. Full article

Bio-based fertilizers derived from chicken manure (CM) composting show potential to meet the requirements of current European fertilizing product legislation, provided that the final product satisfies the relevant quality, stability, and hygienization criteria, although technological challenges remain. This review focuses on the critical aspects related to feedstock optimization and mitigation of odor emissions and antimicrobial resistance-related risks, including the occurrence of antibiotic residues, antibiotic-resistant bacteria, and antibiotic resistance genes. Effective CM composting depends on a balanced feedstock formulation, appropriate aeration, moisture control, temperature–time profiles, and maturation conditions. Co-composting with suitable co-substrates can optimize the carbon-to-nitrogen ratio, enhance nutrient retention, minimize nutrient losses, and improve process performance. Two critical challenges (odorous emissions and antibiotic resistance) remain inadequately characterized and regulated, posing potential risks to environmental quality and public health. Although composting typically reduces antibiotic residues and pathogenic bacteria, certain antibiotic resistance genes may persist, depending on feedstock contamination and operational parameters. This persistence highlights the need for further research and targeted mitigation strategies. Future studies should assess modified composting technologies and integrated process strategies to enhance compost maturity, stability, and microbial safety. A life cycle assessment of CM composting should be performed in future work to help identify trade-offs among operational conditions, enabling the optimization of product quality while reducing environmental impacts. Comparative evaluations with conventional inorganic fertilizers across multiple impact categories (e.g., energy demand) can further support sustainable decision-making and foster adoption of climate-resilient organic waste management practices. Full article

Coal gangue, a major by-product of coal mining, has long posed significant environmental and resource management challenges. With increasing global emphasis on energy transition and environmental sustainability, the comprehensive utilization of coal gangue has emerged as a critical research and policy priority. This review systematically examines the sources, characteristics, environmental impacts, and integrated utilization pathways of coal gangue. First, the formation mechanisms, mineralogical composition, and physicochemical properties of coal gangue are summarized, with particular attention to hazardous constituents and associated environmental risks, including soil and groundwater contamination, atmospheric pollution, and ecological degradation. Subsequently, current technological approaches for coal gangue management and comprehensive utilization are evaluated, including subsidence areas reclamation and underground backfilling, applications in construction materials and energy conversion, extraction of valuable chemical elements and functional materials, ecological soil engineering, and carbon sequestration. The potential contributions of these pathways to waste reduction, resource efficiency, and low-carbon development are critically discussed. Finally, key environmental, technological, and socio-economic considerations influencing sustainable coal gangue utilization are emphasized. This review provides a comprehensive synthesis of existing knowledge and identifies future research directions aimed at advancing environmentally sound, economically viable, and large-scale utilization strategies. The findings are intended to support researchers, policymakers, and industry stakeholders in promoting circular resource systems and sustainable development. Full article

Per- and polyfluoroalkyl substances (PFAS) have emerged as a major global environmental challenge because of their widespread use, exceptional persistence, environmental mobility, bioaccumulation potential, and associated risks to human and ecosystem health. Their continued release threatens water security, environmental quality, and sustainable development, highlighting the need for effective governance and sustainable chemical management. This review critically evaluates PFAS governance by synthesising recent advances in regulatory frameworks, environmental monitoring, and environmental risk management across major international jurisdictions. The analysis demonstrates that effective PFAS governance extends beyond establishing regulatory limits and depends on integrated approaches combining class-based regulation, harmonised environmental monitoring, adaptive governance, robust enforcement, and stakeholder collaboration. Despite significant regulatory progress, persistent challenges, including fragmented governance, inconsistent monitoring capacity, limited toxicological data for emerging PFAS, and disparities in institutional resources, continue to hinder effective management. The review identifies international regulatory harmonisation, expanded monitoring of emerging PFAS, advanced analytical technologies, improved data sharing, and integration of One Health and circular economy principles as priorities for strengthening future governance. Collectively, these findings provide a comprehensive framework to support evidence-based policymaking, sustainable PFAS management, and long-term protection of human health and the environment while contributing to the achievement of the United Nations Sustainable Development Goals. Full article

Advanced Metering Infrastructure (AMI) is a key enabler of digital and intelligent power systems, particularly in microgrid environments. However, existing research often addresses AMI from fragmented perspectives, limiting a comprehensive understanding of its role within integrated and data-driven energy systems. This paper presents a structured analysis of AMI based on a bibliometric and thematic review of recent literature, identifying the main research trends, technological drivers, and emerging directions in the field. The results reveal a transition of AMI toward a data-centric platform that supports real-time monitoring, bidirectional energy management, and intelligent decision-making. Key domains include cybersecurity, data analytics, communication systems, and distributed energy integration, while emerging technologies such as artificial intelligence and the Internet of Energy play a critical role in future developments. Finally, the paper outlines key challenges and provides strategic recommendations to support the effective deployment of AMI in microgrids, contributing to the development of resilient and sustainable energy systems. Full article

This study examines how blockchain technology is associated with institutional governance and operational effectiveness in blockchain-enabled plastic recovery, with particular attention to resource-constrained developing regions and Less Developed Countries (LDCs). Although prior research highlights blockchain’s technical capabilities, less attention has been given to the institutional, socio-technical, financial, and data governance conditions that shape practical adoption. To address this gap, the paper develops a literature-derived Blockchain-Enabled Waste Management Framework (B-WMF) and evaluates it through an interpretivist single-case study of Plastic Bank. The findings suggest that blockchain’s primary value in this case lies less in technological novelty than in its capacity to support verified recovery records, incentive-linked participation, auditability, and multi-stakeholder coordination. At the same time, the case shows that traceability, tokenized incentives, interoperability, and decentralized verification remain conditional on data quality at the source, institutional oversight, regulatory alignment, and sustainable business models. The paper contributes by reframing blockchain as a socio-technical governance infrastructure for blockchain-enabled plastic recovery, while offering practical guidance for circular economy initiatives operating in resource-constrained environments. Full article

Artificial intelligence (AI) is increasingly transforming tourism management by improving operational efficiency, enhancing visitor experiences, and supporting sustainability objectives. However, existing studies primarily focus on individual AI technologies and lack a comprehensive framework for comparing their sustainability performance. Therefore, this study evaluates and ranks major AI applications used in tourism management from a sustainability perspective. An integrated Entropy–TOPSIS framework was developed to assess six AI applications: Generative AI Systems, AI Chatbots, Digital Twin Systems, Smart Destination Management, Smart Governance, and Open Data Tourism Platforms. Ten evaluation criteria covering economic, environmental, social, managerial, and ethical dimensions were identified through a comprehensive literature review. The Entropy method was employed to determine objective criterion weights, while the TOPSIS method was used to rank the alternatives. The results indicate that personalization capability, privacy and ethical risk, and energy efficiency are the most discriminating evaluation criteria, with weights of 0.2217, 0.2190, and 0.2108, respectively. Smart Destination Management achieved the highest sustainability performance (CC = 0.5968), followed closely by Digital Twin Systems (CC = 0.5950) and Open Data Tourism Platforms (CC = 0.4978). The findings suggest that AI applications integrating sustainability-oriented destination management, operational intelligence, and personalized visitor services outperform solutions focusing on isolated technological functions. The proposed framework offers a practical decision support tool for tourism managers and policymakers seeking to prioritize AI investments that maximize sustainability outcomes while supporting responsible digital transformation. Full article

Bacterial chondronecrosis with osteomyelitis (BCO) is a major cause of lameness in modern broiler chickens. It remains a persistent challenge in the broiler industry, resulting in substantial economic losses and serious animal health concerns. The pathogenesis of BCO involves rapid muscle growth, resulting in disproportionate body weight relative to skeletal maturity, thereby increasing mechanical stress and leading to microfractures and osteochondrotic clefts in the proximal growth plates of the femora and tibiae. Infection progresses via hematogenous dissemination and colonization of the leg bones by opportunistic pathogens, primarily Staphylococcus spp., Enterococcus spp., and Escherichia coli, originating from the gastrointestinal or respiratory tract, leading to chronic inflammation, ischemia, biofilm formation, and progressive bone necrosis. Control strategies, including selective breeding, enhanced management and production practices, nutritional interventions, and the administration of antimicrobial agents, offer partial mitigation but have failed to provide a permanent solution to BCO incidence. Vaccination is one of the most promising and targeted immunological approaches to enhance the host immune responses against bacterial pathogens. Electron beam (eBeam) inactivated vaccines represent a significant advancement among available vaccination strategies. This review leverages current knowledge of the etiology, pathophysiology, control measures, and the use of eBeam technology (EBT) in vaccine development to provide a scientifically grounded and innovative approach to controlling BCO-associated lameness in broiler chickens. This article also provides insights into future directions for integrated, antibiotic-free strategies to mitigate BCO and revenue losses, enhance broiler welfare, ensure consumer safety, and support the long-term sustainability of the global poultry industry. Full article

Artificial intelligence, digital payments and platform-based services are reshaping the operating conditions of Africa’s informal economy and micro-enterprise sector. While mobile money, digital marketplaces, app-mediated logistics and algorithmic scoring systems are commonly presented as instruments of financial inclusion and enterprise modernisation, their effects on informal traders remain uneven, conditional and under-governed. This systematic review synthesises recent peer-reviewed evidence on AI-mediated digitalisation pathways for informal and micro-enterprises in Africa, with particular attention to mobile money, platform payments, app-based logistics, digital credit, algorithmic management and platform governance. Following PRISMA-informed systematic review procedures, this review analyses 60 peer-reviewed, DOI-bearing articles published between April 2022 and June 2026 through a mechanism–outcome synthesis approach. The final corpus was selected through database searching, duplicate removal, title-and-abstract screening, full-text eligibility assessment, quality appraisal and mechanism–outcome coding. The findings show that digitalisation can expand market access, reduce cash-handling risks, create transaction histories, strengthen customer reach, improve operational continuity and support household resilience. However, the same digital infrastructures may also intensify livelihood vulnerability through opaque scoring, unexplained account freezes, fee shocks, exclusionary verification procedures, algorithmic ranking losses, data extraction and weak dispute-resolution mechanisms. The review therefore argues that informal enterprise digitalisation should not be understood only as a technology adoption issue, but as a socio-technical systems governance challenge. The article contributes a governance-and-risk framework linking local infrastructure, platform and payment design, AI (artificial intelligence) mediation, adoption conditions and livelihood outcomes. It further identifies minimum policy and design protections required for inclusive and resilient participation, including transparent fees, proportionate verification, human appeal channels, explainable restrictions, data-use consent, timely settlement and contingency mechanisms during digital outages or erroneous flags. The review concludes that sustainable digital inclusion for African informal micro-enterprises depends not merely on access to digital tools, but on the fairness, transparency, recoverability and accountability of the systems through which traders participate. Full article