Search Results (1,335)

MyDispense is a high-fidelity, low-stakes community pharmacy simulation, allowing students to practice dispensing skills. A systematic review was conducted to identify students’ perceptions regarding barriers and facilitators of MyDispense in pharmacy education. PubMed, CINAHL, and EMBASE databases were searched from 2015 to 2025 in January 2025 using combined keywords, proximity searching and Boolean operators. Studies investigating MyDispense and gathering students’ perceptions were included. Record screening was conducted by two independent reviewers (OC and LS). Any identified records from database searching and hand searching of included study reference lists were imported to Rayyan and subjected to independent review. Conflicts were resolved through a third party (RMcC), and discussions were held until consensus was reached. Fifteen studies were included in this review. Seven studies were conducted in USA, six in Asia, one in UK, and one in Australia. All studies utilised purposive sampling. Sample sizes ranged from 33 to 322 students. All studies included surveys to gather student perceptions. Other data collection methods included semi-structured interviews and focus group discussions for students to further elaborate on survey responses. Identified facilitators were mapped to four overarching themes; “Develops competency”, “User-Friendliness”, “Engaging Learning Experience” and “Safe Learning Environment.” Key barriers were encompassed to three themes: “Learning Curve”, “IT issues” and “Limited Realism and Applications”. Barriers included (i) the learning curve of the platform, (ii) technical issues, and (iii) limited realism. Facilitators included perceptions of (i) improved dispensing and counselling skills and a deeper understanding of pharmacy legislation, (ii) accessibility, interactivity of the learning environment and (iii) immediate feedback. Synthesis of the evidence in this review identified students’ perceptions of barriers and facilitators of MyDispense in pharmacy education. This may serve as a guide to educators considering the adoption of MyDispense into their curricula. Full article

The transition to a circular economy (CE) in plastic packaging faces persistent barriers, including regulatory fragmentation, technological limitations, and supply chain disconnection. This study examines how multinational companies address these challenges by leveraging enablers such as advanced policies, technological innovation, and cross-sectoral collaboration. Based on a PRISMA-guided systematic review and a descriptive–explanatory case study, semi-structured interviews with senior managers were analyzed through thematic coding and data triangulation. Findings reveal that regulatory measures like virgin plastic taxation and post-consumer recycled material (PCR) incentives are effective only when synchronized with technical capacities. Investments in recycling infrastructure and circular design, such as resin standardization, enhance the quality of secondary materials, while local supply contracts and digital traceability platforms reduce volatility. Nevertheless, negative consumer perceptions and inconsistent PCR quality remain major obstacles. Unlike prior studies that examine barriers and enablers separately, this research develops an integrative framework where their interaction is conceptualized as a systemic and non-linear process. The study contributes to CE theory by reframing barriers as potential drivers of innovation and provides practical strategies, combining policy instruments, Industry 4.0 technologies, and collaborative governance to guide multinational firms in accelerating circular transitions across diverse regulatory contexts. Full article

Background: Rapid population aging poses significant challenges to health and wellness systems, necessitating innovative technological interventions. Smart home technologies, particularly voice-activated intelligent assistants (smart speakers), represent a promising avenue for supporting aging populations. Objectives: This study critically examines the empirical literature on smart speakers’ influence on older adults’ health and well-being, mapping the characteristics of existing studies, assessing the current state of this domain, and providing a comprehensive overview. Methods: A mixed-methods systematic review was conducted in accordance with published guidelines. Bibliometric data, article purposes and outcomes, keyword network analysis, and mixed-methods findings from articles retrieved from five major databases were managed through the Covidence and VosViewer applications. Results: The majority of studies were conducted in the American region. Bibliometric analysis revealed five predominant thematic clusters: health management, psychological support, social connectedness, technology adoption, and usability. Findings demonstrated multifaceted benefits across several domains. Older adults reported improvements in daily living activities, enhanced emotional well-being, strengthened social connections, and overall health benefits. Qualitative evidence particularly emphasized the advantages of medication adherence, routine maintenance, and facilitated social support. However, mixed-method synthesis revealed significant barriers to adoption and sustained use, including privacy concerns, technical difficulties, cost constraints, and limited digital literacy among older users. Conclusions: The integration of smart speakers into the homes of older adults offers considerable potential to enhance technological wellness and promote successful aging in place, underscoring the need for structured integration of smart speaker technology and human-centered designs within geriatric care systems. Full article

The construction industry is one of the largest consumers of resources and a significant contributor to environmental degradation in Europe, accounting for 50% of natural resource use, 34% of waste generation, and 5–12% of greenhouse gas emissions. In response to growing environmental pressures and regulatory demands, the sector needs to adopt sustainable material alternatives. This study examines the potential adoption of rice straw ash in the European construction sector. The research applies a PRISMA-based systematic literature review, integrated with the Multi-Level Perspective (MLP) framework, PESTLE, and SWOT analyses to provide a comprehensive assessment of the socio-technical dynamics influencing its adoption. The findings identify barriers including the absence of standards, fragmented supply chains, and inconsistent material quality. However, it highlights strategic opportunities such as the declining availability of conventional SCMs, alignment with the EU’s regulations and circular economy principles, and growing public awareness of sustainable materials. The study concludes that advancing the transition to RSA will require regulatory support, the development of standards, and coordinated collaboration among stakeholders to achieve large-scale implementation. By integrating multi-dimensional transition factors, this research contributes actionable insights for advancing sustainable material adoption. Full article

Estimating design hydrographs in small and ungauged basins remains a significant challenge, primarily due to limited hydrometeorological data and the operational complexity of advanced modelling tools. This study presents an interactive digital twin platform to support hydrological modelling in such contexts. The aim of the proposed platform is to integrate three hydrological models—EBA4SUB (event-based rainfall–runoff model), COSMO4SUB (continuous rainfall–runoff model), and Virtual Rain (stochastic rainfall generator)—and automates key pre-processing tasks, including watershed delineation, Curve Number estimation, and rainfall input generation. Built on a three-tier architecture, the system comprises an interactive front end, a back-end database with spatial and meteorological data, and a suite of computational routines developed in Python and C#. The platform was deployed across the Lazio Region (Italy) for basins with contributing areas smaller than 400 km². Users can interactively select watersheds via a map-based interface, obtain preliminary hydrological characterizations, and export model-ready inputs and outputs. The proposed platform offers several advantages: it reduces model preparation time, facilitates access to advanced modelling tools, standardizes input data at the regional level, and ensures reproducible pre-processing workflows. By lowering the technical and time barriers of hydrological modelling, the digital twin provides an effective framework for bringing science-based tools closer to real-world practice. Full article

Background: Pancreatic ductal adenocarcinoma (PDAC) exhibits marked resistance to immunotherapy. Beyond its characteristically low tumor mutational burden, post-translational modifications (PTMs) remodel the immunopeptidome and promote immune escape through reversible, enzyme-driven programs. Subject Matter: We synthesize evidence that aberrant glycosylation, O-GlcNAcylation, phosphorylation, and citrullination constitute core determinants of antigen visibility operating within spatially discrete tumor niches and a desmoplastic stroma. In hypoxic regions, HIF-linked hexosamine metabolism and OGT activity stabilize immune checkpoints and attenuate antigen processing; at tumor margins, sialylated mucins engage inhibitory Siglec receptors on innate and adaptive lymphocytes; within the stroma, PAD4-dependent NET formation enforces T cell exclusion. We also delineate technical barriers to discovering PTM antigens labile chemistry, low stoichiometry, and method-embedded biases and outline practical solutions: ETD/EThcD/AI-ETD fragmentation, PTM-aware database searching and machine-learning models, and autologous validation in patient-derived organoid–T cell co-cultures. Finally, we highlight therapeutic strategies that either immunize against PTM neoepitopes or inhibit PTM machinery (e.g., PAD4, OGT, ST6GAL1), with stromal remodeling as an enabling adjunct. Conclusions: PTM biology, spatial omics, and patient sample models can uncover targetable niches and speed up PDAC vaccination, TCR, and enzyme-directed treatment development. Full article

Digital mining has been evolving in recent years under the Industry 4.0 paradigm. In this sense, technological tools such as sensors aid the management and operation of mining projects, reducing the risk of accidents, increasing productivity, and promoting business sustainability. DT is a technological tool that enables the integration of various Industry 4.0 technologies to create a virtual model of a real, physical entity, allowing for the study and analysis of the model’s behavior through real-time data collection. A digital twin of an underground mine is a real-time, virtual replica of an actual mine. It is like an extremely detailed “simulator” that uses data from sensors, machines, and personnel to accurately reflect what is happening in the mine at that very moment. Some of the functionalities of an underground mining DT include (i) accurate geometry of the real physical asset, (ii) real-time monitoring capability, (iii) anomaly prediction capability, (iv) scenario simulation, (v) lifecycle management to reduce costs, and (vi) a support system for smart and proactive decision-making. A digital twin of an underground mine offers transformative benefits, such as real-time operational optimization, improved safety through risk simulation, strategic planning with predictive scenarios, and cost reduction through predictive maintenance. However, its implementation faces significant challenges, including the high technical complexity of integrating diverse data, the high initial cost, organizational resistance to change, a shortage of skilled personnel, and the lack of a comprehensive, multi-layered conceptual framework for an underground mine digital twin. To overcome these barriers and gaps, this paper proposes a strategy that includes defining an advanced, multi-layered conceptual framework for the digital twin. Simultaneously, it advocates for fostering a culture of change through continuous training, establishing partnerships with specialized experts, and investing in robust sensor and connectivity infrastructure to ensure reliable, real-time data flow that feeds the digital twin. Finally, validation of the advanced multi-layered conceptual framework for digital twins of underground mines is carried out through a questionnaire administered to a panel of experts. Full article

This paper examines how artificial intelligence (AI) can act as a co-creation partner to foster social equity leading to social sustainability by addressing persistent barriers faced by women and minority entrepreneurs. We develop a theoretical framework integrating social capital theory and the resource-based view to analyze how AI can systematically address resource gaps across structural, relational, and cognitive dimensions while serving as a strategic capability that enables competitive advantage. Modern AI systems including ChatGPT, Claude, Gemini, and Perplexity represent practical technologies already operational for everyday entrepreneurs through accessible platforms, low-cost subscriptions, and no-code tools enabling workflow automation with minimal technical skill. While prior work has explored how social capital creates competitive advantages, little research explains how AI technologies specifically enhance both social capital development and resource-based competitive advantage simultaneously for ventures of underrepresented entrepreneurs. This study explicitly identifies the entrepreneurial venture as the unit of analysis and articulates five testable propositions on AI’s influence across structural, relational, and cognitive capital, clarifying mechanisms by which AI functions as a technological mediator that democratizes access to both network resources and strategic capabilities for underrepresented founders. Using AI-generated hypotheticals from Los Angeles demonstrating replicable processes with current technologies like retrieval-augmented generation and cloud AI workspaces, we show that AI-enhanced social capital can reduce venture development disparities while generating distinctive advantages for strategically adopting entrepreneurs. The framework requires empirical validation through longitudinal studies and acknowledges dependencies on infrastructure, ecosystem support, and cultural context, ultimately reconceptualizing AI as an active partner, illustrating that equity and competitive excellence are complementary and achievable through deliberate AI-enabled social capital development. Full article

Market gardening plays a central role in food security and improving household income in Ziguinchor, Senegal. Faced with growing environmental and socio-economic challenges, agroecology emerges as a sustainable pathway for strengthening this agro-economic activity. This study evaluates the adoption of agroecological practices by urban and peri-urban market gardeners, identifying influencing factors and constraints. A survey of 300 farmers was conducted in Ziguinchor, and data were analyzed using Excel. Relative Importance Index (RII), Weighted Average Index (WAI), and Problem Confrontation Index (PCI) ranked the most used practices, influencing factors, and adoption barriers. Results show that 79.67% of respondents were women, mostly over 45, with secondary education. Most of market gardeners consider this activity main source of income, and have been doing so for more than 10 years. Common agroecological practices include: removing weeds and diseased plants, organic fertilization, watering, crop rotation, and recommended fertilizer application, with relative importance indices of 0.75, 0.75, 0.72, 0.73, and 0.62, respectively. Key constraints include the lack of labor (PCI = 789), lack of information and training (PCI = 597), high cost of improved seeds (PCI = 549), and limited access to organic fertilizer (PCI = 538). Reinforcing extension services, capacity building, and both technical and financial support is essential to promote agroecological practices. Full article

As the EU is funding collective self-consumption, European research focuses on legal, technical, economic and social aspects of energy communities. In this study we draw insight from the Portuguese scholars and recent developments to promote a better understanding about the rollout guidelines for energy communities in the North of Portugal and neighbor Galician province of Ourense in Spain. The project COMENERG for the energy transition has been playing active roles in Galicia and Portugal, with the Portuguese municipality of Ponte da Barca in participation by co-steering. A pilot project portfolio collected for benchmarking, as well as engagement data and cost/revenue streams common to eight business models, are gathered to serve as policy support for the energy transition office established in the Galician city of Ourense. The roles and barriers to overcome before and after this project finalizes are analyzed, and it appears critical to develop the demonstration pilot landmark, as well to preview the contingencies ahead for successful implementation of the renewable energy communities in this Euroregion. Full article

While Artificial Intelligence (AI) promises significant enhancements for Clinical Decision Support Systems (CDSSs), the opacity of many AI models remains a major barrier to clinical adoption, primarily due to interpretability and trust challenges. Explainable AI (XAI) seeks to bridge this gap by making model reasoning understandable to clinicians, but technical XAI solutions have too often failed to address real-world clinician needs, workflow integration, and usability concerns. This study synthesizes persistent challenges in applying XAI to CDSS—including mismatched explanation methods, suboptimal interface designs, and insufficient evaluation practices—and proposes a structured, user-centered framework to guide more effective and trustworthy XAI-CDSS development. Drawing on a comprehensive literature review, we detail a three-phase framework encompassing user-centered XAI method selection, interface co-design, and iterative evaluation and refinement. We demonstrate its application through a retrospective case study analysis of a published XAI-CDSS for sepsis care. Our synthesis highlights the importance of aligning XAI with clinical workflows, supporting calibrated trust, and deploying robust evaluation methodologies that capture real-world clinician–AI interaction patterns, such as negotiation. The case analysis shows how the framework can systematically identify and address user-centric gaps, leading to better workflow integration, tailored explanations, and more usable interfaces. We conclude that achieving trustworthy and clinically useful XAI-CDSS requires a fundamentally user-centered approach; our framework offers actionable guidance for creating explainable, usable, and trusted AI systems in healthcare. Full article

The global reliance on fossil fuels has caused severe environmental challenges, emphasizing the urgent need for sustainable and renewable energy sources. Bioethanol production from lignocellulosic biomass has emerged as a promising alternative due to its abundance, renewability, and carbon-neutral footprint. However, its economic feasibility remains a major obstacle owing to high production costs, particularly those associated with low ethanol titers and the energy-intensive distillation process costs for low titers. High-solid loading processes (≥15% w/w or w/v) have demonstrated potential to overcome these limitations by minimizing water and solvent consumption, enhancing sugar concentrations, increasing ethanol titers, and lowering downstream processing cost. Nevertheless, high-solid loading also introduces operational bottlenecks, such as elevated viscosity, poor mixing, and limited mass and heat transfer, which hinder enzymatic hydrolysis efficiency. This review critically examines emerging pretreatment and enzymatic hydrolysis strategies tailored for high-solid loading conditions. It also explores techniques that improve sugar yields and conversion efficiency while addressing key technical barriers, including enzyme engineering, process integration, and optimization. By evaluating these challenges and potential mitigation strategies, this review provides actionable insights to intensify lignocellulosic ethanol production and advance the development of scalable, cost-effective biorefinery platforms. Full article

Sustainable and durable materials are in increasing demand as the aerospace sector seeks to reduce its environmental footprint while enhancing performance and safety. Biocomposites, recycled materials, nanomaterials, and advanced composites are being explored as alternatives to conventional aircraft materials. This work analyses the available options by comparing the mechanical properties, environmental impact, and lifecycle costs of these materials, as well as the associated manufacturing and implementation challenges. There are a few examples of next-generation materials being used in the aircraft industry. Furthermore, regulatory and technical barriers to implementation emphasize the importance of certification processes and scalability considerations. The final part explores the next generation of recyclable and sustainable composite materials, which could potentially reduce the aerospace sector’s impact on greenhouse gas emissions. These comprise future research pathways in advanced aerospace materials that will help lead the industry towards sustainability. Full article

This paper analyzes the potential of hydrogen technologies in transport, placing it within the context of global environmental and energy challenges. Its primary purpose is to evaluate the prospects for the implementation of these technologies at international and national levels, including Poland. This study utilizes a literature review and an analysis of the results of a highly limited, exploratory pilot survey measuring public perception of hydrogen technology in transport. It is critical to note that the survey was conducted on a small, non-representative sample and exhibited a strong geographical bias, primarily collecting responses from Europe (50 people) and North America (30 people). This study also details hydrogen vehicle types (FCEV, HICE) and the essential infrastructure required (HRS). Despite solid technological foundations, the development of hydrogen technology heavily relies on non-technical factors, such as infrastructure development, support policy, and social acceptance. Globally, the number of vehicles and stations is growing but remains limited, with the pace of development correlating with the involvement of countries. The pilot survey revealed a generally positive perception of the technology (mainly due to environmental benefits) but highlighted three key barriers: limited availability of refueling infrastructure—51.5% of respondents strongly agreed on this obstacle, high purchase and maintenance costs, and insufficient public awareness. Infrastructure subsidies and tax breaks were identified as effective incentives. Hydrogen technology offers a potentially competitive and sustainable transport solution, but it demands significant systemic support, intensive investment in large-scale infrastructure expansion, and comprehensive educational activities. Further governmental engagement is crucial. The severe limitations resulting from the pilot nature of the survey should be rigorously taken into account during interpretation. Full article

Pakistan’s housing sector faces a significant shortfall alongside growing climate risks. This study assesses climate-smart construction options autoclaved aerated concrete (AAC) blocks, interlocking bricks, and rat-trap bond masonry through energy simulations, cost modeling, and expert consultations. A 10-Marla residential unit in Islamabad was used as the reference case. Results indicate AAC reduces cooling energy by 22%, interlocking bricks reduce construction costs by 26.6%, and rat-trap masonry lowers electricity use by 12–16%. Despite technical viability, adoption remains limited due to financing and regulatory barriers. The study proposes a phased policy roadmap to integrate low-carbon materials into Pakistan’s housing and climate adaptation strategies. Full article