Search Results (898)

Plastic pollution has emerged as a critical global environmental challenge, driven by rising production, consumption, and inadequate waste management. Major plastic-consuming economies play a disproportionate role in global plastic leakage and therefore strongly influence international mitigation efforts. This review comparatively examines plastic policy frameworks in the European Union, the United States, China, India, and Japan to identify policy strengths, limitations, and transferable governance strategies. Due to the heterogeneous nature of the information sources, a narrative review methodology was employed, drawing on peer-reviewed literature, policy documents, institutional reports, and statistical datasets. Policy effectiveness was qualitatively evaluated using cross-comparable indicators, including per capita plastic consumption, waste generation, recycling rates, mismanaged waste, environmental leakage, and Extended Producer Responsibility (EPR) coverage. The analysis reveals substantial divergence in policy approaches: the EU demonstrates a comprehensive lifecycle-based framework with strong recycling performance and low leakage; China exhibits high enforcement capacity and effective upstream controls but faces scale-related challenges; the United States shows limited effectiveness due to fragmented governance and low recycling rates; India has robust regulatory intent but is constrained by high mismanaged waste and infrastructure gaps; and Japan achieves high downstream efficiency but relies heavily on thermal recycling with limited upstream reduction. The review highlights that effective plastic governance requires integrated lifecycle policies, strong enforcement, infrastructure investment, and international policy coordination rather than reliance on isolated downstream measures alone. Full article

The number of individuals affected by dementia and cognitive decline is progressively increasing, becoming a serious global health challenge. Several investigations underline the role of nutrition and dietary habits as a preventive strategy. Recent studies suggest that dietary supplementation with polyphenols may constitute an efficient preventive strategy. Indeed, it is emerging that polyphenols exhibit a neuroprotective effect because of their pronounced antioxidant and anti-inflammatory activity. Notably, several studies underline the role of the gut microbiota in the metabolism of the polyphenols, producing bioactive molecules that are absorbed through the gastrointestinal tract. They may exhibit beneficial effects on the central nervous system. Moreover, dietary polyphenols modulate gut microbiota composition, demonstrating a reciprocal regulation between gut microbiota and polyphenol-induced effects on brain functions. Thus, polyphenols are proposed to have an important role on the gut–microbiota–brain axis regulation. The literature search for this narrative review was conducted across three electronic databases PubMed, Scopus, and Web of Science as well as the NIH ClinicalTrials.gov registry, covering the period from January 2000 to 10 February 2026. The following search terms were used: “polyphenols”, “microbiota”, “gut–brain axis”, “dementia”, “cognitive function”, “polyphenols and cognitive dysfunction”, and “polyphenols and microbiota”. The study selection process was performed in two sequential stages: (i) screening of titles and abstracts, followed by (ii) full-text assessment for eligibility. Articles were included if they were peer-reviewed studies (in vitro, in vivo, or clinical trials), published in English, and addressed the effects of polyphenols on cognitive outcomes, gut microbiota composition, or the gut–microbiota–brain axis. Exclusion criteria included non-peer-reviewed sources, studies lacking relevant cognitive or microbiota-related endpoints, and publications not available in full. Full article

Sustainability targets in contemporary construction projects are increasingly defined through embodied carbon limits, circular material obligations, waste diversion benchmarks, and energy performance requirements. However, a persistent gap remains between the establishment of these commitments during policy and design stages and their effective verification throughout project delivery and post-handover operation. Although Building Information Modelling (BIM), digital twins, and associated digital monitoring systems are widely discussed in sustainable construction research, their collective role in enabling continuous sustainability compliance assurance within construction management remains insufficiently synthesised. This study addresses this gap through a PRISMA-guided systematic review and structured comparative thematic synthesis of 117 peer-reviewed studies published between 2016 and 2026. A structured analytical coding matrix, MMAT-informed methodological quality appraisal, and descriptive evidence mapping were used to evaluate dominant digital technologies, sustainability compliance domains, lifecycle verification gaps, and study validation approaches. The findings indicate that current research remains concentrated around BIM-enabled design modelling and isolated operational analytics, with comparatively limited attention to integrated multi-stage sustainability verification during procurement, construction, commissioning, and operation. Four recurring sustainability compliance domains requiring stronger construction management control are identified, including embodied carbon verification, material reuse traceability, waste diversion monitoring, and energy performance validation. In response, the study proposes a Digital Sustainability Compliance Framework that conceptually integrates sustainability targets, PMBOK-aligned project control functions, BIM information models, digital twins, sensor systems, and centralised construction data platforms within a continuous lifecycle verification architecture. The study repositions digital technologies as governance-oriented infrastructures for more transparent, auditable, and continuously monitored sustainability compliance assurance while highlighting the need for future empirical validation. Full article

Intensive vegetable production in China is seriously affected by continuous cropping obstacles (CCOs), yet the effectiveness of amendment strategies for mitigating CCOs varies widely across environments and crop types. To address this heterogeneity, we conducted a nationwide meta-analysis of 200 peer-reviewed studies (published in 2000–2025) comprising 921 effect sizes. A random-effects model was used to quantify the overall efficacy of four amendment categories on vegetable yield and quality, and spatial analysis (using Global Moran’s I and Getis–Ord Gi*) was integrated to identify geographical hotspots and coldspots of amendment efficacy, with meta-regression further employed to assess the moderating roles of soil and climatic factors. Overall, amendments significantly increased vegetable yield by 26.9% and vitamin C content by 23.4%. Efficacy was highly dependent on specific crop–amendment combinations; Autotoxin Mitigation (AM) was most effective for leafy vegetables, while Soil Physicochemical Property Improvement (SPPI) optimally enhanced soluble sugar in root and tuber crops. Soil pH emerged as the primary environmental driver, with greater yield responses observed in acidic soils, and spatial analysis revealed significant hotspots of high efficacy clustered in the North China Plain and Yangtze River Basin, contrasting with coldspots in areas with specific soil constraints like salinity. Consequently, this study establishes a quantitative “crop–amendment–environment” matching framework, highlighting the necessity of transitioning from generic applications to regionally tailored precision strategies to sustainably manage CCOs and improve vegetable productivity in China. Full article

Eucalypt plantations have expanded across tropical, subtropical, and temperate regions and now play an important role in the global supply of wood and renewable biomass, while remaining at the center of debates on water use, biodiversity, and socio-economic trade-offs. This review examines whether these plantations can deliver ecological, social, and technological benefits under appropriate management. This review synthesizes evidence from nearly 200 peer-reviewed papers, technical reports, and books covering environmental services, livelihood outcomes, and emerging bio-based applications of Eucalyptus species. The literature shows that well-planned plantations can deliver clear benefits. High biomass production supports carbon sequestration, while improvements in soil structure, nutrient cycling, and the recovery of degraded lands are frequently reported. Effects on water, often described in general terms as negative, vary widely with climate, soils, stand age, and previous land use, and are documented to play roles in biodrainage, salinity control, erosion reduction, and local microclimate regulation under suitable conditions. From a socio-economic perspective, Eucalyptus, a widely planted species, supports rural development by generating income, strengthening value chains for wood products and bioenergy, and offering smallholders a fast-growing resource. Technological work on materials and bioproducts, including nanocellulose, essential-oil formulations, biochar-based applications, and wood vinegar, further illustrates this versatility. Overall, while outcomes remain site-specific and dependent on governance, the evidence indicates that, under science-based management and careful landscape planning, eucalypt plantations can contribute to climate mitigation, rural livelihoods, and the circular bioeconomy. Full article

Peer review is a cornerstone of authentic assessment in Digital Media education, yet its role in self-regulated learning remains underexplored, particularly as generative AI reshapes assessment. This study analyses structured peer review practices across three undergraduate units in an Australian Bachelor of Digital Media program, using artefacts created before generative AI became widespread. Guided by Zimmerman’s model of self-regulated learning and Self-Determination Theory, the analysis examines how students engage with assessment. It identifies three recurring mechanisms: rubric calibration, justified critique, and revision reflection. These mechanisms align with the forethought, performance, and self-reflection phases of learning. Together, they show how human-mediated assessment supports students’ capacity to judge quality, use feedback, and make revision decisions. The paper proposes a three-tier hybrid assessment model as a design-oriented implication rather than an empirically tested AI intervention. Full article

Chronic obstructive pulmonary disease (COPD) imposes a substantial physical and psychosocial burden, yet the role of loneliness remains under-recognised in clinical practice. Loneliness, defined as a subjective discrepancy between desired and actual social relationships, has emerged as a clinically relevant determinant of patient outcomes. This narrative review synthesises current evidence on the epidemiology, mechanisms, and clinical consequences of loneliness in COPD, and evaluates its implications for disease management. Available evidence indicates that loneliness affects a considerable proportion of individuals with COPD, with prevalence estimates ranging from approximately 18% to over 30%, particularly among patients with greater symptom burden, functional limitation, and oxygen dependence. Dyspnoea and advancing disease severity reduce social participation and increase vulnerability to perceived social disconnection. Loneliness influences COPD outcomes through interconnected behavioural, biological, and healthcare engagement pathways, including systemic inflammation, neuroendocrine stress responses, physical inactivity, impaired self-management, and reduced engagement with healthcare services. These mechanisms contribute to poorer clinical trajectories, as loneliness is consistently associated with reduced health-related quality of life, increased exacerbations, higher healthcare utilisation, greater risk of hospitalisation, and elevated mortality, independent of depression and anxiety. Despite this, loneliness is rarely assessed in routine respiratory care, and targeted interventions remain limited. Emerging strategies, including pulmonary rehabilitation, peer support, and digital health interventions, show promise in reducing loneliness and improving outcomes. Loneliness represents a modifiable and clinically actionable risk factor in COPD, and its integration into routine assessment and management may enhance patient engagement, optimise treatment effectiveness, and reduce healthcare burden. Addressing loneliness represents a critical opportunity to advance more effective and comprehensive COPD care. Full article

Background: Rural and remote health systems are diverse; while many of these settings face persistent workforce shortages and access gaps, not all are underserved. Nurses play a critical role in improving access, continuity, and quality of care in these contexts. However, evidence on their roles, the challenges they face, and the outcomes associated with their contributions remains fragmented. Objective: To map the roles, challenges, and reported outcomes of nurses working in rural and remote healthcare settings, and to examine the quality and scope of the available evidence. Design: This study employed JBI scoping review methodology and is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Methods: Eligible studies involved registered nurses (RNs) and nurse practitioners (NPs) providing care in rural or remote settings and reporting at least one outcome related to patients, services, or health systems. Six bibliographic databases (PubMed/MEDLINE, CINAHL, Embase, Scopus, Web of Science, Cochrane Library) plus Google Scholar for supplementary grey literature retrieval and targeted grey literature were searched (from 1 January 2000 to 30 September 2025). The lead author conducted screening and data extraction, supported by a 10% calibration pilot and structured peer debriefing. Design-specific critical appraisal was undertaken descriptively to inform interpretation but did not determine inclusion. Results: From 22 primary empirical studies (plus 2 contextual-only entries; 24 total, nurses’ roles clustered into direct clinical care, care coordination/navigation, telehealth facilitation, and health promotion. Reported outcomes were predominantly in access/utilization (e.g., time-to-care), quality and safety indicators, and patient-reported outcomes/experiences; clinical endpoints were less common. Conclusions: Nurses in rural and remote settings enact broad, adaptive roles that appear to support healthcare access and service continuity. The evidence base is predominantly descriptive, and causal claims about effectiveness cannot be drawn from the available studies. Standardized outcome frameworks, multi-reviewer methodologies, and effectiveness-focused primary research are needed to advance this field. Full article

Background: Blockchain and distributed ledger technologies are increasingly proposed to strengthen traceability, governance, visibility, and coordination in mining and mineral supply chains, but mining-specific evidence remains fragmented. Methods: We conducted a systematic mapping review of peer-reviewed articles indexed in Scopus and Web of Science to examine application contexts, functional roles, technical architectures, evidence types, and adoption constraints of blockchain-enabled systems in these settings. Results: The review shows that blockchain is used across five functional domains: traceability and provenance; governance and secure data control; operational monitoring and inspection; energy and market coordination; and sustainability and environmental surveillance. Permissioned and consortium-based architectures predominated and were commonly combined with sensors, external storage, identity mechanisms, and smart contracts. Evidence was strongest for technical feasibility under simulated, experimental, comparative, or bounded pilot conditions, whereas durable economic, social, and governance outcomes remained less substantiated. Conclusions: Blockchain is most credible in mining contexts when it supports controlled coordination, auditable recordkeeping, and process integrity. Its practical value depends on reliable physical-to-digital data capture, workable governance arrangements, interoperability, and validation under real institutional and operational conditions. Full article

This systematic review comprehensively explores the integration of Extended Reality (XR) technologies, comprising Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), into New Zealand’s STEM education framework. In alignment with PRISMA 2020 guidelines, we systematically analyzed 127 peer-reviewed studies from the Web of Science (n = 48), Scopus (n = 57), and Dimensions (n = 22) and incorporated 15 grey literature sources, resulting in 142 studies included in the review. Our meta-analysis found substantial improvements in student conceptual understanding from XR-enhanced STEM modules. Specifically, we observed an average increase of 23.4% when compared to traditional instructional methods (95 percent Confidence Interval: 18.7 to 28.1 percent, p < 0.001). These gains were especially prominent in interactive learning environments where immersive XR applications supported deeper engagement and the visualization of abstract STEM concepts. The qualitative synthesis highlighted several key barriers that limit effective XR integration. These include technological infrastructure gaps reported in 68 percent of reviewed studies, a critical need for educator training cited by 82 percent of studies, and curriculum alignment issues present in 57 percent of cases. Methodological quality was assessed using the Mixed Methods Appraisal Tool (MMAT) 2018, and the qualitative component employed a deductive thematic coding approach with inter-coder reliability verification. Successful institutional implementations were also identified. At Auckland University of Technology, XR-supported courses produced a 67 percent increase in student engagement, while Wellington High School achieved a 41 percent reduction in STEM achievement gaps through targeted XR interventions. Based on the evidence, we propose a four-phase implementation framework that addresses the technological, pedagogical, and policy requirements for sustainable XR adoption. These findings highlight the role of immersive technologies in supporting human-centered digital transformation and future skills development in the transition to Industry 5.0. The review contributes evidence-based insights that support the transition from technology-driven approaches associated with Industry 4.0 to the human-centered, socially oriented priorities of Industry 5.0. It also identifies critical research gaps, particularly in long-term learning outcomes and the integration of Mātauranga Māori within XR-enabled STEM environments. Full article

With the rapid advancements in artificial intelligence (AI) and machine learning (ML), the role of data engineering has become increasingly critical due to the growing demands for high-quality, large-scale, and well-structured datasets required to train reliable predictive models. Healthcare is one of the most data-intensive industries and has demonstrated strong potential for AI-driven automation in clinical decision support, diagnostics, and operational efficiency. However, healthcare data is often fragmented across multiple systems, inconsistently formatted, and constrained by privacy and regulatory requirements, creating significant barriers to scalable AI adoption. In this review, we examine recent research on healthcare data engineering and AI applications, focusing on how data pipelines, interoperability, and governance frameworks support or limit real-world deployment. This review examined 68 peer-reviewed studies published between 2018 and 2026 across multiple clinical domains, including oncology, cardiovascular disease, infectious disease, neurological disorders, medical imaging, and algorithmic frameworks for explainability and fairness. The reviewed literature shows that while AI models achieve promising performance across these domains, the lack of standardized data architectures and interoperable infrastructure remains a primary bottleneck. The purpose of this study is to highlight key challenges and emerging solutions in healthcare data engineering and outline the future directions needed to support safe, scalable, and trustworthy AI integration in the United States healthcare system. The intended core contributions of this article are to: (i) identify the need for reliable AI systems for healthcare, (ii) explore challenges associated with implementing AI systems in healthcare from a data engineer’s perspective, and (iii) analyze key limitations of data engineering as it applies to the implementation of AI systems in healthcare. It must be noted that one of the key limitations of this narrative review is that the authors mostly used citations from MDPI journals. Full article

Background: Indoor Environmental Quality (IEQ) in housing plays a critical role in supporting health, comfort, and daily well-being, yet research and practice often address thermal, visual, acoustic, and air quality conditions in isolation. Objective: This systematic review synthesizes findings from peer-reviewed studies to examine how residential IEQ is experienced and shaped through interactions among physical building factors, environmental conditions, occupant behaviors, and socio-economic contexts. Methods: A systematic literature review was conducted following PRISMA guidelines, including 110 peer-reviewed studies published between 2015 and 2025. Data were extracted and coded from 10,838 quotations and corresponding measured environmental parameters, enabling cross-domain thematic synthesis across eight IEQ domains and four analytical themes. Results: The results show persistent perception-to-measurement gaps, particularly in ventilation usability, low-frequency noise, nighttime thermal conditions, and moisture control. Demographic factors, including age, life stage, health sensitivity, and housing tenure, influence how IEQ conditions are perceived. Integrated IEQ assessments indicate that sleep-critical spaces, moisture robustness, and simple, quiet control systems exert disproportionate influence on overall environmental satisfaction. Conclusions: The findings highlight the need to prioritize preventive design strategies addressing moisture, thermal comfort, acoustics, and lighting, while improving usability of environmental controls. Future research should expand longitudinal and cross-context studies, particularly in low-income communities, and strengthen links between IEQ performance and health outcomes. Healthy residential environments require understanding IEQ not only as a technical performance metric but as a spatial and social condition. Full article

Background: Generative AI (GenAI) mental health chatbots are increasingly being developed to help address persistent barriers to mental healthcare. Unlike earlier rule-based and retrieval-based systems, GenAI chatbots generate open-ended outputs that can be inaccurate and unsafe. Documented harms from general-purpose GenAI chatbots have highlighted the need for purpose-built interventions with dedicated safeguards, yet how safety is implemented in such interventions remains poorly understood. Methods: This scoping review followed the Joanna Briggs Institute methodology and PRISMA-ScR guidelines, with a prospectively registered and peer-reviewed protocol. A systematic search of seven academic databases and search engines including MEDLINE, Scopus, PsycINFO, ACM Digital Library, IEEE Xplore, Google Scholar and Consensus was conducted in July 2025. Two reviewers independently screened records and extracted data. Safety mechanisms and risk mitigation strategies were narratively synthesised across three pre-specified domains: technical safeguards, pre-deployment safety considerations, and delivery-phase risk mitigation strategies. Results: Twenty-one studies across 11 countries were included. Most interventions incorporated at least one technical safety mechanism, most commonly fine-tuning and prompt engineering. A smaller subset implemented layered safety architectures combining retrieval systems, content filters or risk classifiers, and rule-based algorithms. Pre-deployment safeguards included clinical expert and user co-design approaches, research ethics procedures, and data privacy measures. During intervention delivery, detailed onboarding with role clarification was common, but human oversight was limited. Crisis referral protocols varied in rigour but were mostly underdeveloped, and systematic adverse event monitoring was sparse. Documented safety failures included missed suicidal ideation and provision of inaccurate clinical information. Conclusions: GenAI chatbot interventions require a robust sociotechnical approach that integrates technical safeguards with user co-design, procedural controls, and human oversight. Future research is needed to evaluate efficacy, improve safeguards and standardise safety outcome measurement. Regulatory oversight proportional to the risks these systems carry is required to enable integration into stepped or blended mental healthcare. Full article

This study examines how digital transformation in higher education institutions (HEIs) contributes to public value creation, moving beyond efficiency-oriented narratives toward broader societal outcomes. Using a PRISMA-ScR approach, the study systematically reviews 47 peer-reviewed articles published between 2013 and 2025 across major academic databases. The review maps the evolution of scholarship and identifies the key mechanisms through which digital transformation influences public value. The findings reveal three interrelated dimensions shaping outcomes: digital competencies, institutional readiness, and governance alignment. Digital competencies enable the effective adoption and use of technologies, while institutional readiness—comprising digital infrastructure, leadership capacity, and organizational culture—acts as a mediating condition influencing implementation success. Governance alignment, including regulatory coherence, accountability mechanisms, and stakeholder engagement, plays a moderating role in determining whether digital transformation initiatives generate inclusive and socially beneficial outcomes. In addition to positive outcomes such as improved access, service quality, and transparency, the review identifies critical risks—including digital inequality, data governance challenges, and algorithmic bias—that may constrain public value creation, particularly in resource-constrained and Global South contexts. Building on these findings, the study develops the Global Digital Transformation—Public Value Creation (G-DTPVC) framework as an evidence-synthesized model derived from the reviewed literature. The framework specifies key constructs, causal relationships, and indicative measures to support future empirical research and policy application. By linking digital transformation processes in HEIs to broader public value outcomes and Sustainable Development Goals (SDGs 4, 9, and 16), this study advances theoretical understanding and provides actionable, context-sensitive guidance for policymakers and institutional leaders seeking to foster inclusive, accountable, and resilient higher education systems. Full article

Concern is expressed in Australia about a group of children called dual-involvement children. Dual-involvement children live in families who have multiple complex needs, where a child is referred first to a child protection court and later to a juvenile justice court as the child has committed offenses. One concern is whether these families and children receive early intervention therapy. Method: The paper reviews research relevant to early intervention for children with an increased likelihood of developing a mental disorder and behaving aggressively. Results: Fifteen psychological models have generated evidence about risk factors for the healthy development of children. A framework is used to describe risk factors using headings of parental factors, childhood factors, and peer factors. The review summarizes effect sizes associated with each model. Conclusions: The review concludes that variables relevant to dual-involvement children can be integrated using the concept of role the of a parent. There is a need for a tiered system of intervention involving universal interventions that are supplemented by targeted interventions for families where children have heightened vulnerability due to a higher number of specific risk factors. Topics for further research are identified, including a need for research into how therapists who use a systemic approach might practice in ways that manage ethical dilemmas that arise when using systemic therapy with two members of a court-involved family. Full article