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Mine tailings (MTs) limit plant and microbial establishment due to low fertility, poor structures, and toxic metal(loid) contents. Organic amendments (OAs) modify these conditions by increasing contents of carbon and nutrients and decreasing metal(loid) toxicity; however, the overall effectiveness of OAs remains unclear. This meta-analysis evaluated the effects of OAs on the chemical and biological properties of MTs. A total of 2322 observations from 47 studies were analyzed. Application of OAs increased total and available contents of N, P, Ca, Mg and total organic carbon (TOC) by 50–300
Dengue is a major mosquito-borne viral disease with no effective antiviral treatment currently available. This work introduces a machine-learning framework to predict anti-dengue activity in small molecules using Atomic-Weighted Vector (AWV) descriptors and data-balancing techniques. Sixteen datasets, each containing 2118 molecules, were generated with MD-LOVIs (Molecular Descriptor from Local Vertex Invariants) and preprocessed with IMMAN (Information theory-based CheMoMetric ANalysis), with Shannon entropy applied for feature selection. To address class imbalance (imbalance ratio = 6.66), the ADASYN algorithm was employed. Thirty classifiers spanning six methodological families were evaluated under two validation schemes (tenfold cross-validation and percentage split) on both balanced and imbalanced datasets. Performance was assessed using accuracy (ACC). Nonparametric statistical tests (Friedman, Nemenyi, Wilcoxon) indicated that data balancing improved model robustness. Tree-based and function-based classifiers achieved the best predictive performance. Overall, the proposed workflow offers a reproducible, data-driven approach for virtual screening of anti-dengue compounds and is readily extensible to other antiviral drug discovery tasks.
Purpose This study explores the intersection between mental health and university social responsibility (USR), focusing on how higher education institutions integrate psychological well-being into their social mission. This study aims to identify trends, challenges and opportunities for fostering inclusion, resilience and equity in university contexts. Design/methodology/approach A systematic literature review was conducted using Web of Science and Scopus. English and Spanish keywords related to mental health, well-being and USR guided the search. After screening and removing duplicates, 11 articles published between 1970 and 2025 were selected. Thematic analysis was applied, organizing contributions into five categories: student well-being, community health, psychosocial and contractual models, institutional resilience and historical initiatives. Findings The review reveals that USR initiatives, such as student hubs, arts-based practices, employability support, physical activity programs and university hospitals, contribute significantly to psychological well-being and social cohesion. Theoretical frameworks – including the 4Cs model, social exchange theory, psychosocial models and conservation of resources – highlight how institutional practices influence mental health outcomes. However, gaps remain, including limited longitudinal evidence, insufficient attention to diversity and weak connections with public health policy. Originality/value This study reframes mental health as a central component of USR rather than a peripheral service. By integrating mental health into universities’ social contracts, this study underscores the ethical imperative of embedding well-being in higher education strategies. The findings of this study advance interdisciplinary understanding and provide a conceptual foundation for inclusive policies that strengthen resilience, equity and social justice within and beyond university settings.
Postural balance is a foundational component of human motor behavior, yet it remains conceptually ambiguous and methodologically heterogeneous across the clinical, educational, and sport sciences. This narrative review aims to provide an integrative framework that clarifies key concepts (postural control vs. postural balance), synthesizes the main sensorimotor and biomechanical mechanisms underpinning balance, and organizes current assessment approaches and functional implications across populations. Narrative literature synthesis was conducted to integrate evidence covering multisensory integration and sensory reweighting, central neural control (spinal, brainstem, cerebellar, and cortical contributions), neuromuscular and biomechanical strategies (e.g., ankle/hip/stepping), and cognitive influences (e.g., dual-task effects). We further summarize commonly used instrumental outcomes derived from force-platform center-of-pressure metrics and widely adopted clinical and functional balance tests, highlighting their typical applications and limitations across the lifespan including pediatric, general adults, older adults, and athletic populations. This review proposes a closed-loop, systems-based model in which postural balance is conceptualized as an emergent functional outcome arising from distributed postural control processes shaped by task, environmental, and individual constraints. In conclusion, integrating mechanistic understanding with population-specific assessment enhances interpretability and supports more precise, context-sensitive balance evaluation and intervention in both health and performance settings.
Handgrip strength (HGS) has been considered as an indicator of muscle strength and overall physical fitness, with increasing relevance in sports science for talent identification and performance monitoring. However, no bibliometric study has been conducted to map the HGS research landscape in athletic contexts. A bibliometric analysis was conducted in the Web of Science Core Collection database, retrieving 229 publications. Typical bibliometric laws (i.e., Price’s, Bradford’s, Lotka’s, and Zipf’s) were employed to analyze publication trends, core journals, influential authors, country contributions, and keyword co-occurrences. Annual publications increased exponentially, especially after 2019, reaching 37 documents in 2024. The Journal of Strength and Conditioning Research and Journal of Sports Medicine and Physical Fitness were the most prominent journals. The United States and Spain led in productivity and impact. Key research themes included strength, performance, body composition, and physical fitness, with HGS demonstrating significant associations with sport tasks such as throwing, racquet sports, and weightlifting. HGS constitutes an accessible and valuable tool for assessing and predicting athletic performance, especially in sports requiring upper body strength and coordination. Future research should aim to expand database inclusion and address identified gaps, such as the relationship between HGS training and sport-specific outcomes.
