Search Results (153)

Acid mine drainage (AMD) remains a critical environmental challenge in South Africa due to its severe impact on water quality, ecosystems and public health. Numerous studies on AMD management, treatment and resource recovery have been conducted over the past 20 years. This study presents a comprehensive review of research activities on AMD in South Africa from 1998 to 2025, highlighting key trends, emerging challenges and future directions. The study reveals a significant focus on passive and active treatment methods, environmental remediation and the recovery of valuable resources, such as iron, rare earth elements (REEs) and gypsum. A bibliometric analysis was conducted to identify the most influential studies and thematic research areas over the years. Bibliometric tools (Biblioshiny and VOSviewer) were used to analyse the data that was extracted from the PubMed database. The findings indicate that research production has increased significantly over time, with substantial contributions from top academics and institutions. Advanced treatment technologies, the use of artificial intelligence and circular economy strategies for resource recovery are among the new research prospects identified in this study. Despite substantial progress, persistent challenges, such as scalability, economic viability and policy implementation, remain. Furthermore, few technologies have moved beyond pilot-scale implementation, underscoring the need for greater investment in field-scale research and technology transfer. This study recommends stronger industry–academic collaboration, the development of standardised treatment protocols and enhanced government policy support to facilitate sustainable AMD management. The study emphasises the necessity of data-driven approaches, sustainable technology and interdisciplinary cooperation to address AMD’s socioeconomic and environmental effects in the ensuing decades. Full article

While the explosive growth in e-commerce stresses urban logistics systems, city planners lack of fine-grained data in order to anticipate and manage the resulting freight flows. Using a three-stage analytical approach combining descriptive zonal statistics, hotspot analysis and different regression modeling from univariate to geographically weighted regression, this study integrates one year of parcel deliveries from a leading courier with open spatial layers of land-use zoning, census population, mobile-signal activity and household income to model last-mile demand across different land use types. A baseline linear regression shows that residential population alone accounts for roughly 30% of the variance in annual parcel volumes (2.5–3.0 deliveries per resident) while adding daytime workforce and income increases the prediction accuracy to 39%. In a similar approach where coefficients vary geographically with Geographically Weighted Regression to capture the local heterogeneity achieves a significant raise of the overall R² to 0.54 and surpassing 0.70 in residential and institutional districts. Hot-spot analysis reveals a highly fragmented pattern where fewer than 5% of blocks generate more than 8.5% of all deliveries with no apparent correlation to the broaden land-use classes. Commercial and administrative areas exhibit the greatest intensity (1149 deliveries per ha) yet remain the hardest to explain (global R² = 0.21) underscoring the importance of additional variables such as retail mix, street-network design and tourism flows. Through this approach, the calibrated models can be used to predict city-wide last-mile demand using only public inputs and offers a transferable, privacy-preserving template for evidence-based freight planning. By pinpointing the location and the land uses where demand concentrates, it supports targeted interventions such as micro-depots, locker allocation and dynamic curb-space management towards more sustainable and resilient urban-logistics networks. Full article

This study employs k-means clustering to analyze local organizations responsible for land improvement in Greece, identifying four distinct groups with consistent geographic patterns but divergent financial and operational characteristics. By integrating unsupervised machine learning with spatial analysis, the research offers a novel perspective on irrigation water pricing and cost recovery. The findings reveal that organizations located on islands, despite high water costs due to limited rainfall and geographic isolation, tend to achieve relatively strong financial performance, indicating the presence of adaptive mechanisms that could inform broader policy strategies. In contrast, organizations managing extensive irrigable land or large volumes of water frequently show poor cost recovery, challenging assumptions about economies of scale and revealing inefficiencies in pricing or governance structures. The spatial coherence of the clusters underscores the importance of geography in shaping institutional outcomes, reaffirming that environmental and locational factors can offer greater explanatory power than algorithmic models alone. This highlights the need for water management policies that move beyond uniform national strategies and instead reflect regional climatic, infrastructural, and economic variability. The study suggests several policy directions, including targeted infrastructure investment, locally calibrated water pricing models, and performance benchmarking based on successful organizational practices. Although grounded in the Greek context, the methodology and insights are transferable to other European and Mediterranean regions facing similar water governance challenges. Recognizing the limitations of the current analysis—including gaps in data consistency and the exclusion of socio-environmental indicators—the study advocates for future research incorporating broader variables and international comparative approaches. Ultimately, it supports a hybrid policy framework that combines data-driven analysis with spatial intelligence to promote sustainability, equity, and financial viability in agricultural water management. Full article

Botulism is a severe muscle paralysis disease mediated by the botulinum toxin. Here, we reported a foodborne botulism case caused by Clostridium botulinum subtype A5(b3) from self-packaged vacuum spicy rabbit heads. Treatment for this case was delayed due to misdiagnosis and insufficient diagnostic capacity in three hospitals, which resulted in progressive clinical deterioration, and eventually, the patient was transferred to Shandong Public Health Clinical Center for specialized therapy. The case was suspected as foodborne botulism by the Qilu Medical-Prevention Innovation Integration pathway and multi-disciplinary consultation. An epidemiological investigation and laboratory confirmation revealed that the botulinum neurotoxin originated from vacuum-packaged spicy rabbit heads distributed via interprovincial cold chain logistics. After treatment with botulism antiserum, the patient’s condition significantly improved, and they were discharged after recovery. We revealed that this foodborne botulism outbreak was caused by the Clostridium botulinum A5(b3) subtype from food by whole-genome sequencing and SNP typing. All the strains belonged to Group I carrying the botulinum neurotoxin gene classified as the ha cluster. Toxin A was confirmed by MBA and other methods, while toxin B was non-functional due to the truncated bont/B gene. Other virulence genes and antibiotic resistance genes were also detected. Our findings indicate that self-packaged vacuum meat products represent an emerging risk factor for botulism transmission when stored improperly. Importantly, the recurrent misdiagnosis in this case underscored the urgent need to enhance the training of healthcare professionals in medical institutions to improve the diagnostic accuracy and clinical management of botulism. Full article

The UI GreenMetric World University Ranking has become a widely adopted instrument for benchmarking institutional sustainability performance; nevertheless, empirically grounded evidence from universities in diverse regional contexts remains scarce. This study undertakes a rigorous appraisal of the extent to which Mahasarakham University (MSU) has institutionalized the United Nations Sustainable Development Goals (SDGs) within its pedagogical offerings, research portfolio, community outreach, and governance arrangements during the 2021–2024 strategic cycle. Employing a mixed-methods design and guided by the 2024 UI GreenMetric Education and Research indicators, this investigation analyzed institutional datasets pertaining to curriculum provision, ring-fenced research funding, 574 peer-reviewed sustainability publications, student-led community initiatives, and supporting governance mechanisms; the analysis was interpreted through a Plan–Do–Check–Act management lens. The number of sustainability-oriented academic programs expanded from 49 to 58. Student participation in community service activities strongly recovered following the COVID-19 pandemic, and MSU’s GreenMetric score increased from 7575 to 8475, thereby elevating the institution to the 100th position globally. These gains were facilitated by strategic SDG-aligned investment, cross-sector collaboration, and the consolidation of international partnerships anchored in Thailand’s Isaan region. The MSU case provides a transferable model for universities—particularly those operating in resource-constrained contexts—endeavoring to align institutional development with the SDGs and internationally recognized quality benchmarks. The findings substantiate the capacity of transformative education and applied research to engender enduring societal and environmental benefits. Full article

Climate change increasingly threatens heritage-rich river basins, yet the integration of traditional ecological knowledge into formal environmental governance remains underexplored. This study investigates how historically embedded water management practices in Tuscany’s Arno River and New York’s Hudson River can inform adaptive strategies under conditions of climate uncertainty. Employing a Triangulated mixed-methods approach—including a systematic narrative literature review, variable coding (hydrological dynamics, cultural heritage, governance structures, economic livelihoods, and adaptive knowledge), and effect size analysis—we conducted a comparative assessment to uncover regional challenges, capacities, and implementation dynamics. The findings reveal that while both basins contend with hydrological volatility and fragmented governance, the Arno benefits from legally embedded heritage practices that continue to shape canal-based agriculture and flood mitigation. In contrast, the Hudson showcases strong multi-level stakeholder engagement and ecological restoration, though with less institutional reliance on traditional land stewardship. By integrating codified traditional practices with participatory governance and applying a weighted implementation structure, this study illustrates how resilience planning can be more context-sensitive, operationally feasible, and socially inclusive. Ultimately, this research positions cultural landscapes as active infrastructure for climate adaptation—provided they are institutionally supported and community-endorsed—offering a transferable model for policy innovation in similarly vulnerable riverine systems. Full article

This study presents a case of community-integrated project-based learning (PBL) at a Japanese National Institute of Technology (KOSEN). Three students collaborated to design and build a rideable 5-inch gauge railway system, integrating mechanical design, brushless motor control, and computer vision. The project was showcased at public events and a partner high school, providing authentic feedback and enhancing learning relevance. Over 15 weeks, students engaged in hands-on prototyping, interdisciplinary teamwork, and real-world problem-solving. The course design was grounded in four educational frameworks: experiential learning, situated learning, constructive alignment, and self-regulated learning (SRL). SRL refers to students’ ability to plan, monitor, and reflect on their learning—a key skill for managing complex engineering tasks. A mixed-methods evaluation—including surveys, reflections, classroom observations, and communication logs—revealed significant gains in technical competence, engagement, and learner autonomy. Although limited by a small sample size, the study offers detailed insights into how small-scale, resource-conscious PBL can support meaningful interdisciplinary learning and community involvement. This case illustrates how the KOSEN approach, combining technical education with real-world application, can foster both domain-specific and transferable skills, and provides a model for broader implementation of authentic, student-driven engineering education. Full article

The effects of unsustainable actions persist, triggering and sustaining a discussion on strategies and controls required to mitigate the consequences. Greater disclosure is required by entities regarding the governance processes, strategies, and controls they employ to manage climate-related risks and opportunities, thereby creating an expanded role for accountants. With this expanded role, higher education institutions (HEIs) play a critical role in fostering and instilling sustainability values through the knowledge and skills they transfer to accounting students. HEIs must be assessed to ascertain if sustainability concepts are integrated into current accounting curricula, thereby addressing SDG 4, and SDG 12 which can be achieved through the knowledge these HEIs transfer. A contextual content analysis is carried out on the accounting curricula of 76 Nigerian universities to search for keywords related to sustainability. This study reveals a low level of integration; 16 of the 62 keywords were found in the curricula of 25 of the 76 universities studied. The results indicate the most frequently occurring keywords and the courses and universities associated with the most keywords. This study demonstrates that accounting education in Nigeria has not yet keyed into the program aimed at achieving the ‘Agenda’. This outcome underscores the need to review the existing accounting curricula to ensure that accounting education contributes to the movement towards sustainable development. Full article

Background: The aging population is increasing, leading to a greater need for home care for older adults, often provided by informal caregivers (ICs). These caregivers face numerous challenges, requiring adequate training and support. Objectives: This study aimed to map the main interventions performed by the Rehabilitation Nursing Specialist in empowering ICs of older adults at home. Methods: A scoping review was conducted following the Joanna Briggs Institute methodology. The search included seven articles published between 2019 and 2024, in Portuguese, English, and Spanish, available in the PubMed e CINHAL Ultimate databases. The descriptors used were (Rehabilitation Nursing) AND (Informal Caregivers OR Caregivers) AND (Elderly OR Aged) AND (mentoring OR Training. Results: The RNS interventions focused on training caregivers in technical skills (e.g., positioning, transfers, hygiene care, feeding, medication administration), preventing caregiver burden, managing behavioral and psychological symptoms of dementia, promoting self-care, and emotional support. Educational programs and the use of technologies (telehealth) were identified as effective strategies. Conclusions: RNS interventions are crucial for enhancing the skills and well-being of ICs, improving the quality of care provided to older adults at home, and reducing caregiver burden. Person-centered care, continuous support, and recognizing the caregiver’s role are fundamental aspects of these interventions. Full article

This article addresses a gap in the literature by offering the first structured reconstruction of the origins, motivations, and development of Ignatian Leadership, connecting its spiritual roots, conceptual foundations, and institutional applications within a coherent and transferable framework. The study explores the genesis, evolution, and contemporary relevance of Ignatian Leadership as a transformative model that combines organisational management principles with the spirituality of Saint Ignatius of Loyola and the Jesuit tradition. Through a qualitative methodology, we conducted an exhaustive review of 54 documents and interviews with key experts, incorporating diverse phenomenological perspectives. The findings show that this leadership model emerged to renew the apostolic mission of the Society of Jesus, modernise its educational management, and empower both laypeople and Jesuits in leadership roles. Grounded in Ignatian spirituality—particularly in the practice of discernment aimed at promoting actions inspired by the Magis, in ever deeper and greater service to the most universal good—it seeks to serve others and promote the common good. Over time, the model has expanded beyond religious contexts, offering a counter-cultural and ethically grounded leadership style applicable in educational, managerial and civic settings. This shift of focus not only paves the way for institutional change but also guides individuals towards a more authentic and meaningful life. Full article

Blended learning has introduced a more accessible and flexible teaching environment in higher education. However, ensuring that content is inclusive, particularly for students with learning difficulties, remains a challenge. This paper explores how Moodle, a widely adopted learning management system (LMS), can support inclusive and adaptive learning based on Universal Design for Learning (UDL) principles. A 16-week descriptive exploratory study was conducted with 70 undergraduate students during a software engineering fundamentals course at Philadelphia University in Jordan. The research combined weekly iterative focus groups, teaching reflections, and interviews with 16 educators to identify and address inclusion barriers. The findings highlight that the students responded positively to features such as conditional activities, flexible quizzes, and multimodal content. A UDL-based framework was developed to guide the design of inclusive Moodle content, and it was validated by experienced educators. To our knowledge, this is the first UDL-based framework designed for Moodle in Middle Eastern computing and engineering education. The findings indicate that Moodle features, such as conditional activities and flexible deadlines, can facilitate inclusive practices, but adoption remains hindered by institutional and workload constraints. This study contributes a replicable design model for inclusive blended learning and emphasizes the need for structured training, intentional course planning, and technological support for implementing inclusivity in blended learning environments. Moreover, this study provides a novel weekly iterative focus group methodology, which enables continuous course refinement based on evolving students’ feedback. Future work will look into generalizing the research findings and transferring the findings to other contexts. It will also explore AI-driven adaptive learning pathways within LMS platforms. This is an empirical study grounded in weekly student focus groups, educator interviews, and reflective teaching practice, offering evidence-based insights on the application of UDL in a real-world higher education setting. Full article

Urban decarbonisation requires governance models that overcome the fragmentation and rigidity of traditional urban planning. This article presents a systemic and digital framework for managing urban decarbonisation portfolios aligned with the EU Mission for Climate-Neutral and Smart Cities. Grounded in systems thinking and portfolio theory, this study develops an analytical taxonomy and an interactive digital tool to support strategic coordination, multistakeholder collaboration, and adaptive decision-making. The framework is empirically validated through the case of Madrid’s Climate City Contract, demonstrating its functionality and transferability. Using a mixed-method approach—combining co-creation workshops, interviews, document analysis, and iterative prototyping—this research maps interdependencies among projects, actors, and levers of change. The digital tool enables real-time visualisation of collaboration patterns, gaps, and synergies, enhancing strategic foresight and coordination capacity. Findings reveal that 75% of initiatives in Madrid’s CCC address climate adaptation, 80.36% are linked to knowledge generation, and key anchor projects serve as integrative hubs within the portfolio. This study concludes that the portfolio approach strengthens systemic innovation and reflexive governance by integrating digital infrastructures with collaborative planning processes. While challenges persist—including data integration, institutional capacity, and political dynamics—this research offers a replicable methodology for embedding mission-oriented strategies into urban governance. The digital portfolio emerges as a complementary governance tool that enhances transparency, organisational learning, and alignment across governance levels. Full article

In the modern digital ecosystem, the effective management of knowledge and the integration of information and communication technologies are the keys to revolutionizing educational practices within higher education institutions. This study presents a systematic review of recent literature, examining how the incorporation of information and communication technologies facilitates the creation and transfer of knowledge, enables collaboration among educators, and supports continuous professional development. We explore the benefits of personalized learning and the application of technological tools to enhance collaboration, access to educational resources, and pedagogical reflection. The key findings emphasize the role of these tools in promoting teacher interaction and exchange of ideas, highlighting the critical importance of training in digital competency to maximize their impact. The study also identifies challenges, including the need to improve effective knowledge transfer and technological training. In conclusion, effective knowledge management, supported by information and communication technologies, fortifies digital competencies and cultivates a culture of collaboration and content creation in higher education institutions. Full article

Land mobility, particularly in the agricultural sector, is a critical factor for rural development and the maintenance of the supply chain. In the EU, the dominant form of agricultural land mobility is succession. This study examines the impact of formal and informal institutional factors on land mobility and the development of the agricultural sector in Greece, emphasizing their role in shaping succession and land mobility processes. This research introduces an innovative approach by analyzing both formal (legislation, EU policies, taxation) and informal (cultural ties, family traditions) institutional factors that influence land mobility. Within this framework, this study explores the attitudes, perceptions, and behaviors of farmers, acknowledging that the institutional environment—shaped by both official regulations and informal norms, often expressed by the family head—may influence younger family members to adopt similar behaviors and practices. It also highlights the impact of ineffective and underdeveloped formal and informal institutions, providing policymakers and young people seeking to engage in agriculture with a valuable guide. The methodology is based on qualitative research, using semi-structured interviews with 21 members of farming families to capture views, perceptions, and experiences related to land mobility. The findings highlight several major barriers, including fragmented land ownership, emotional attachment to inherited land, bureaucratic obstacles, and high tax burdens. At the same time, shifting attitudes among younger generations are evident, as they adopt a more entrepreneurial mindset in land management. The results point to an urgent need for institutional reforms, such as completing the land registry, simplifying land transfer procedures, and promoting land consolidation policies. Overall, this exploratory study underscores the need for increased research attention to the formal and informal institutional elements that influence rural economic and structural development through land mobility, providing important insights for policies aimed to enhance land mobility and ensure the sustainable development of the agricultural sector. Furthermore, it provides valuable input for understanding and addressing challenges such as family traditions, emotional attachments to inherited land, and land mobility. Full article

Floods and landslides are two distinct natural phenomena influenced by different conditioning factors, though some environmental triggers may overlap. This study applied eXtreme Gradient Boosting (XGBoost) to develop susceptibility maps for both phenomena, using a unified approach based on the same geospatial predictors. The approach integrated topographical, geological, and remote sensing datasets. Flood event data were collected from institutional sources using multi-source and high-resolution remotely sensed data. The landslide inventory was compiled based on historical records and geomorphological analysis. Key conditioning factors such as elevation, slope, lithology, and land cover were analyzed to identify areas prone to floods and landslides. The methodology was applied to the Basento River basin in Southern Italy, a region frequently impacted by both hazards, to assess its vulnerability and inform risk management strategies. While flood susceptibility is primarily associated with low-lying areas near river networks, landslides are more influenced by steep slopes and geological instability. The XGBoost model achieved a classification accuracy close to 1 for flood-prone areas and 0.92 for landslide-prone areas. Results showed that flood susceptibility was primarily associated with low Elevation and Relative Elevation, and high Drainage Density, whereas landslide susceptibility was more influenced by a broader and balanced set of factors, including Elevation, Drainage Density, Relative Elevation, Distance and Lithology. The resulting susceptibility maps offered critical approaches for land use planning, emergency management, and risk mitigation. Overall, the results demonstrated the effectiveness of XGBoost in multi-hazard assessments, offering a scalable and transferable approach for similar at-risk regions worldwide. Full article