Artiles
Open Access
Article
20 January 2026Modafinil Suppresses Hypertrophic Scar Formation by Inhibiting Adenosine Deaminase and Activating Adenosine Signaling
Modafinil (MF) is a clinically approved wake-promoting agent with emerging anti-inflammatory and anti-fibrotic effects, although its upstream molecular target has remained undefined. Here, we identify adenosine deaminase (ADA) as a previously unrecognized target mediating the therapeutic actions of MF. Its S- and R-isomers (MF-S and MF-R) robustly increased intracellular cAMP levels in fibroblasts with efficacy comparable to NECA, despite minimal direct binding to adenosine receptors, and suppressed KCa3.1 channel activity via a PKA–dependent mechanism. MF-S markedly upregulated CD39 and CD73, leading to increased adenosine availability. Pharmacological inhibition of CD73 with AB680 abolished MF-S–induced increases in cAMP and Epac levels and reversed suppression of TGFβ–induced collagen expression. Consistently, MF-S attenuated canonical profibrotic signaling by inhibiting TGFβ–induced Smad4 upregulation. In vivo, MF-S significantly reduced hypertrophic scarring in a rabbit ear model, with efficacy comparable to Contratubex. Mechanistically, MF-S directly inhibited purified ADA at subnanomolar concentrations and suppressed cellular ADA activity in fibroblast and immune cells. Collectively, these findings establish ADA inhibition as a key upstream mechanism by which MF enhances adenosine–cAMP signaling to suppress inflammation and fibrosis, highlighting MF and its isomers as promising therapeutic candidates for inflammatory and fibrotic diseases.
Open Access
Review
20 January 2026Porous Carbon-Based Adsorbents for CO2 Sequestration from Flue Gases: Tuning Porosity, Surface Chemistry, and Metal Impregnation for Sustainable Capture
Escalating atmospheric CO2 levels and the consequent climate crisis have become urgent imperatives for advancing efficient carbon capture technologies. Porous carbon adsorbents stand out as a leading candidate in this field, owing to their inherently high specific surface areas, tailorable pore architectures, and cost advantages over conventional solid adsorbents. This review focuses on recent progress in the rational engineering of porous carbons for boosted CO2 capture performance, with a particular emphasis on three complementary modification pathways: pore structure refinement, surface functional group regulation, and metal oxide incorporation. We begin by clarifying the distinct mechanisms of CO2 physisorption and chemisorption on carbonaceous surfaces, while also elucidating how key operating parameters (temperature, pressure) and real-world flue gas components (e.g., water vapor, SO2) modulate adsorption behavior. Critical evaluation is then given to strategies for enhancing three core performance metrics—CO2 uptake capacity, selectivity over N2, and cyclic stability—including the construction of sub-nanometer micropores (<0.8 nm) for efficient low-pressure CO2 capture, the introduction of nitrogen- and oxygen-containing moieties to strengthen dipole–quadrupole interactions with CO2 molecules, and the loading of alkaline metal oxides (e.g., MgO, CaO) to enable reversible chemisorption, which is especially beneficial under humid conditions. Finally, we outline the key challenges that hinder the practical application of porous carbon adsorbents, such as the design of hierarchical pores for both high uptake and fast mass transfer, the precise control of heteroatom doping sites and concentrations, and the mitigation of competitive adsorption in complex multicomponent flue gases. Corresponding future research priorities are also proposed, with a focus on scalable and sustainable synthesis routes using biomass or waste precursors. Ultimately, this review seeks to provide targeted insights for the rational design of high-performance porous carbon adsorbents, thereby accelerating their deployment in sustainable CO2 capture systems.
Open Access
Article
19 January 2026Life Cycle Assessment of the Emissions Reduction Potential of Recycled-Carbon-Fibre for Western-Australian Offshore Wind Turbine Blades
The objective of this study is to conduct a review of recycled-carbon-fibre (rCF) wind turbine blades’ feasibility, through a comparison of global and Australian wind sector waste, and a comparison of virgin-carbon-fibre (vCF) with rCF wind turbine blades’ greenhouse-gas GHG-emissions, and, recommend an approach for carbon-fibre CF-use in the fledgling Australian offshore wind industry, based on global-warning-potential GWP. This study assesses the life-cycle GHG-emissions of virgin-carbon-fibre wind turbine blades versus recycled-carbon-fibre wind turbine blades, in both non-structural and structural configurations. All production, use and recycling is assessed in terms of a West Australian context, in which the functional unit is three turbine blades used on an onshore wind farm, towards potential applicability for (as yet, non-existent) offshore WA fields. An approach incorporating a GaBi/Sphera database-study provides a timely screening/preliminary study, in which it was found that non-structural recycled carbon fibre wind turbine blades had very similar GHG emission levels compared to standard virgin carbon fibre blades, with sensitivity analysis revealing that in worst-case scenarios, non-structural carbon fibre has higher GHG emissions. Structurally recycled carbon fibre blades performed significantly better than standard virgin carbon fibre wind turbine blades with a 56% reduction in GHG emissions; savings were not affected significantly by parameter changes during sensitivity analysis. It is evident that recycled-carbon-fibre can significantly reduce wind turbine blades’ GWP and contribute to the circular economy in the fledgling West Australian offshore-wind-turbine sector.
Open Access
Article
19 January 2026Advancing Youth Engagement in Agriculture: A Cross-National Comparative Policy Analysis and Framework for Sustainable Rural Development
Youth engagement in agriculture has emerged as a critical issue for sustainable agri-food systems, yet policies remain fragmented and uneven across countries. This paper presents a comparative case study of four national contexts to assess how governments address or neglect the challenges young people face in the agricultural sector. Using a desk-based review of policy documents, reports, and secondary literature, this study critically compares the policy environments of Uganda, Cameroon, Nigeria, and Italy. It explores the role of youth in agriculture and rural development by identifying gaps in institutional support, policy coherence and access to resources, while also highlighting areas of innovation and promising practices. This paper develops a conceptual framework to capture the key aspects necessary to increase youth participation in agriculture and rural development. The framework emphasises the importance of integrated strategies combining structural access, system-level integration, youth agency, and institutional capacity. Overall, this cross-country analysis aims to enhance the understanding of youth-in-agriculture policy environments, providing a roadmap for future policy-making and the development of sustainable rural communities.
Open Access
Article
16 January 2026Operation Management Optimization of Hydropower Stations Based on Big Data Technology: A Case Study of X Hydropower Station Group
In the operation management of hydropower stations, uneven scheduling often leads to issues such as resource wastage and unequal energy distribution; big data technology offers a new approach for optimizing the scheduling of hydropower stations in the information era. Taking the X Hydropower Station Group as a case study, this paper explores data acquisition, cleaning, clustering analysis, and the formulation of seasonal scheduling strategies to enhance the efficient utilization of hydropower resources and ensure the stable operation of the power grid. K-means clustering analysis is applied to explore typical output curves of cascaded hydropower stations, revealing the relationships between water levels, inflow rates, and load rates. Furthermore, a grey prediction model is developed to forecast future load rates, providing robust data support for short-term operational scheduling plans. The research not only improves monitoring and decision-support capabilities but also enhances the adaptability and response speed to seasonal changes, ensuring the stability and reliability of the power supply.
Open Access
Review
15 January 2026Renal Aging and Fibrosis in the Elderly: Frontiers in Non-Invasive Assessment
Today’s society has gradually entered an aging phase, and among the elderly population, the risk of chronic kidney disease (CKD) is significantly increased. Renal fibrosis is the key pathological mechanism for the development of chronic kidney disease to end-stage renal disease. With the increase in age, the phenomenon of glomerular sclerosis and interstitial fibrosis in aging kidneys gradually aggravates, and the glomerular filtration rate (GFR) decreases, further affecting renal function. Fibrosis not only accelerates the loss of renal function but also significantly increases the risk of cardiovascular disease, which seriously affects the quality of life and life expectancy of patients. This paper reviews the relevant literature and discusses the characteristics of an aging kidney and the diagnostic methods for renal fibrosis.
Open Access
Article
15 January 2026The Role of Empathy in Resource Control Strategy Selection and Social Dominance in Early Childhood
This cross-sectional study examined the associations between affective and cognitive empathy, resource control strategies (RCS), resource control success, and social dominance in preschool children, within the framework of resource control theory. Ninety-two children (ages 4–5) completed assessments of empathy, while teachers rated their prosocial and aggressive behaviors, prosocial and coercive RCS, resource control success, and social dominance. Hierarchical regression analyses indicated that prosocial resource control strategies uniquely predicted children’s resource control success, whereas social dominance, examined as a distinct social status outcome, was explained by a combination of prosocial and coercive strategies, general prosocial behavior, and resource control success. Affective empathy was positively related to both types of RCS, while cognitive empathy moderated the link between affective empathy and coercive RCS. These findings highlight the dual potential of empathy in early peer relations, suggesting that empathy may facilitate both cooperative and coercive tactics in the pursuit of social influence. The findings also underscore the need to distinguish between behavioral strategies, their effectiveness, and broader social status outcomes when examining early social dominance. Implications for interventions that cultivate constructive applications of empathy are discussed.
Open Access
Article
15 January 2026Does the Implementation of Rights of Nature Enhance Nature Conservation in Practice?
The debate surrounding Rights of Nature has been ongoing for some time, with many different concepts being put forward. Some consider them to be extremely effective, others useless or even counterproductive. The paper begins by summarising the complex debate and presents different approaches to categorising the debate. Based on those approaches, simplified categories for the various concepts for Rights of Nature are proposed: animal rights, rights for nature as a whole, and rights for non-animal natural entities, with a possible further distinction between rights for ecosystems and other natural entities. Subsequently, the paper goes on to study the effect of legally recognising Rights of Nature and finds that in South America, nations that recognise Rights of Nature perform slightly better in terms of Ecosystem Vitality and public awareness of environmental risks. While further research is needed, those results indicate that Rights of Nature may be a modest catalyst for conservation efforts.
Open Access
Article
14 January 2026Large-Scale Language Model Assisted Construction of Multi-Source Heterogeneous Knowledge Graphs for Marine Renewable Energy
Marine renewable energy systems, particularly offshore wind and photovoltaic (PV) installations, generate large volumes of heterogeneous maintenance texts. However, the resulting knowledge remains fragmented due to dispersed sources, diverse formats, and domain-specific terminology. To address these challenges, this study proposes a large-scale language model assisted methodology for constructing a multi-source heterogeneous knowledge graph for intelligent operation and maintenance (O&M). The method integrates unified document preprocessing, domain-oriented prompt engineering, large-scale language model–based entity and relation extraction, and multi-level entity normalization. It systematically transforms unstructured documents (e.g., standards, procedures, manuals, inspection records, and environmental reports) into structured triples, enabling the construction of a dynamically evolving O&M knowledge graph. A rigorous ablation study on real-world offshore wind and PV datasets demonstrates that the proposed workflow exhibits exceptional robustness against OCR noise (e.g., scanned artifacts, stamps, and signatures) and substantially improves extraction volume, accuracy, and coverage compared with traditional methods. In particular, combining high-quality preprocessing and optimized prompts yields the most reliable and semantically coherent results. The study provides a practical technical pathway for automated knowledge management in marine renewable energy and offers a foundation for future applications in intelligent diagnostics, predictive maintenance, and digital-twin systems.
Open Access
Article
13 January 2026Small Is Big: Making Difference in Lives of Small and Marginal Farmers with Focus on Women Through Rice Nursery Entrepreneurship
With increasing climate stress and monsoon variability, it becomes imperative to design and plan innovations catering to the needs of small and marginalized farmers in rice farming. This requires interventions to encourage farmers to adopt better management practices in their fields, using cost-saving technologies. Along with technology innovation improving yields, strategy promoting inclusion is equally important to address the gender gap existing in rice farming for equitable development. Cereal Systems Initiative for South Asia has initiated one such innovation known as Rice Nursery Enterprise (RNE), led by small and marginal farmers in the state of Bihar, India. This very innovation adopted a livelihood centric approach, reaching out to farmers through strategic partnerships with community-based organization, research universities, government agencies, private players, and Bihar Rural Livelihood Promotion Society, popularly known as JEEVIKA. In order to understand the process, characteristics, and feasibility of rice nursery entrepreneurship (RNE), a field study was organized with both men and women farmers in the state of Bihar. It was found that RNE helps both women and men farmers to set up a coping mechanism tackling monsoon variability with the availability of timely seedlings and generating additional income in their household through the service economy. Importantly, when women farmers are strategically mainstreamed with informed choices to lead through Self Help Groups (SHGs), it was found that, along with added income and coping variable monsoon, they are increasingly establishing their identity as farmers at both the household and community level.
