Search Results (250)

Is research funding shaping innovation in the global AI competition? How research funding translates into innovation outcomes in the global artificial intelligence (AI) race remains insufficiently understood. Prior studies have largely focused on input–output relationships, providing limited insight into the structural mechanisms through which funding shapes innovation performance. This study examines whether research funding is associated with innovation through differences in collaboration structures and knowledge diversity within AI research ecosystems. Using an observed-variable path model estimated as a system of seemingly unrelated regressions (SUR), together with multi-group analysis, applied to 98,241 AI-related publications indexed in the Web of Science from 2011 to 2024, the study analyzes relationships among funding, structural change, and innovation outcomes across major national innovation systems. The results suggest that research funding is associated with higher research productivity and impact, partly through expanded collaborative networks. Funding appears modestly linked to greater thematic diversity, though this association is not robust across specifications, while interdisciplinary exploration tends to correspond with weaker short-term citation performance, suggesting a potential delay in the recognition of novel knowledge combinations. In addition, the extent to which funding translates into outcomes appears to vary across countries. These findings suggest that funding may be associated with AI innovation not only through greater research capacity but also through differences in the structure of knowledge ecosystems that influence how innovation emerges and is evaluated over time. The study points to the value of ecosystem-level perspectives and longer-term evaluation frameworks that extend beyond short-term performance indicators. Full article

Background: Glioblastoma (GBM) is the most aggressive primary brain tumor in adults and remains associated with poor prognosis despite multimodal treatment. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation and redox imbalance, has recently emerged as a potential therapeutic vulnerability in glioma. This review summarizes current knowledge on the molecular regulation of ferroptosis in glioma and discusses its implications for tumor progression, therapeutic resistance, and translational targeting. Methods: A structured narrative review of the literature was conducted using PubMed/MEDLINE, Scopus, and Web of Science databases. Experimental, translational, and clinically relevant studies investigating ferroptosis-related mechanisms and therapeutic strategies in glioma and GBM were qualitatively analyzed. Results: Ferroptosis in glioma is regulated by interconnected pathways involving iron metabolism, phospholipid remodeling, oxidative stress, and antioxidant defense systems, particularly the SLC7A11–glutathione–GPX4 axis. Additional protective mechanisms mediated by FSP1 and DHODH, together with regulatory networks involving NRF2, ATF4, p53, and hypoxia-related signaling, contribute to adaptive resistance to ferroptosis. Increasing evidence indicates that ferroptosis interacts bidirectionally with the glioma tumor microenvironment and may exert both antitumor and immunosuppressive effects. Preclinical studies further suggest that ferroptosis induction may enhance the efficacy of temozolomide, radiotherapy, and immunotherapy, although clinical translation remains limited by tumor heterogeneity, blood–brain barrier penetration, and resistance mechanisms. Conclusions: Ferroptosis represents a biologically plausible and therapeutically promising target in glioma. Improved understanding of ferroptosis regulation, tumor microenvironment interactions, and biomarker-guided therapeutic strategies may support the future development of more effective treatments for GBM. Full article

Microplastics (MPs; <5 mm) represent a growing environmental concern that increasingly challenges environmental monitoring, governance, and evidence-based decision-making. This review critically examines how current scientific understanding of microplastic sources, classification, occurrence, and environmental behavior can support environmental governance. MPs are classified as primary and secondary particles; however, persistent inconsistencies in size definitions, shape descriptors, and polymer identification limit the comparability of monitoring data and constrain the development of coherent regulatory frameworks. Evidence on the occurrence of MPs in surface waters and sediments highlights widespread contamination and pronounced spatial variability, raising challenges for risk assessment and policy harmonization across regions. Key transport pathways, including atmospheric deposition, terrestrial runoff, and riverine fluxes, are analyzed to illustrate how local emissions translate into large-scale environmental impacts. Rivers emerge as key components linking sources to receptors, offering relevant points for policy intervention and management measures. The review evaluates current policy responses to microplastic pollution, identifying significant gaps in standardized monitoring, data integration, and risk assessment approaches. It emphasizes the need for stronger alignment between scientific outputs and policy requirements, including the co-production of knowledge involving scientists, regulators, and stakeholders. By outlining pathways through which scientific evidence can inform regulatory design and environmental management, this study provides actionable insights for improving policy effectiveness. Advancing harmonized methodologies and integrating science into decision-making processes are essential steps toward mitigating microplastic pollution and supporting sustainable environmental governance. Full article

Background/Objectives: Clear cell renal cell carcinoma (ccRCC) is the most prevalent and biologically aggressive subtype of renal cell carcinoma, characterized by pronounced immunogenicity and extensive remodeling of the tumor microenvironment. Chronic inflammation and dysregulated cytokine signaling contribute substantially to tumor progression. Signal transducer and activator of transcription 3 (STAT3) represents a central molecular hub integrating cytokine- and hypoxia-driven pathways. This review aims to summarize current evidence on the cytokine–STAT3 signaling axis in ccRCC and to evaluate its translational relevance for biomarker development. Methods: A narrative review of the literature was conducted using PubMed, Scopus, and Web of Science databases. Experimental, translational, and clinical studies addressing cytokine signaling, STAT3 activation, tumor microenvironment interactions, and biomarker development in ccRCC were evaluated. Particular attention was given to studies analyzing cytokine profiles in tumor tissue, plasma, and urine, as well as their associations with STAT3 activation and clinicopathological parameters. Results: Accumulating evidence indicates that ccRCC exhibits a complex, compartment-specific cytokine signature involving interleukins, chemokines, and tumor necrosis factor (TNF)-related cytokines. Among these mediators, IL-6, IL-8, and selected chemokines such as CXCL10 appear particularly relevant due to their associations with tumor progression, immune modulation, and clinical outcome. Many of these mediators converge on persistent STAT3 activation, which promotes tumor cell survival, angiogenesis, immune suppression, and metastatic potential. Tissue-based analyses demonstrate correlations between altered cytokine expression and STAT3 activation, while urinary cytokine profiles reflect tumor-associated inflammatory processes in a non-invasive manner. Plasma cytokines appear to capture broader systemic inflammatory responses. Conclusions: The cytokine–STAT3 axis represents a biologically plausible signaling network associated with tumor progression and immune modulation in ccRCC. By integrating evidence from cytokine profiling in tumor tissue, plasma, and urine with current knowledge of STAT3 signaling, this review highlights the importance of compartment-specific inflammatory signatures in understanding ccRCC biology and their potential relevance for biomarker discovery. Integrative approaches combining cytokine profiling with functional assessment of STAT3 activation may improve disease characterization and support the development of diagnostic and prognostic biomarkers, although rigorous clinical validation remains necessary. Full article

The quality of technology integration in K-8 science classrooms has significant implications for educational equity, particularly in minority–majority districts where teacher practice is among the strongest predictors of STEM persistence among underserved populations. This study examined the extent to which K-8 science teachers’ technology integration knowledge translated into transformative instructional practice within a large, minority–majority district in the U.S, using the frameworks of Information and communication technology (ICT)-Technological Pedagogical Content Knowledge (TPACK) and Passive, Interactive, Creative, Replacement, Amplification, Transformative (PICRAT) model. Technology integration planning knowledge was assessed using the ICT-TPACK instrument across elementary and middle school teachers. Instructional practice was rated using the PICRAT framework applied to teachers’ open-ended descriptions of their technology use. These responses also provided contextual illustration of quantitative patterns. Results indicate that while middle school teachers demonstrated significantly higher ICT-TPACK planning knowledge, this advantage primarily reinforced foundational science concepts through passive consumption rather than facilitating student agency. PICRAT analysis revealed that technology use across all grade levels was dominated by Replacement and Amplification practices, while creative and transformative uses remained nearly absent. These findings reveal a persistent knowing–doing gap in which planning knowledge did not translate into transformative enacted practice. Implications for equity-focused professional development and structural supports moving K-8 science teachers toward more transformative technology integration are discussed. Full article

Recent advances in three-dimensional (3D)-bioprinted hydrogels show promise for overcoming the limitations of conventional techniques for dental tissue regeneration. This scoping review systematically analyses the physical, mechanical, and rheological properties of these hydrogels in dental applications, aiming to identify knowledge gaps, limitations, and current and future directions for advancing and translating hydrogel-based 3D bioprinting in dentistry. In accordance with PRISMA-ScR guidelines, a comprehensive literature search was conducted across Ovid, PubMed, EBSCOhost, and Web of Science up to January 2026. Included studies focused on (i) 3D-bioprinted hydrogels, (ii) quantitative characterisation, and (iii) dental tissue engineering. A total of twenty-one studies met the inclusion criteria. The findings revealed substantial variability in formulations and properties. Gelatine-based hydrogels reinforced with β-tricalcium phosphate demonstrated the highest compressive strength within the range of cancellous bone, whereas GelMA/PEGDA composites exhibited tunable stiffness suitable for soft tissue applications. Extrusion-based bioprinting emerged as the predominant method, with photocrosslinking and ionic crosslinking as the primary gelation techniques. Biodegradation rates varied notably with composition and regenerative objectives. This review uniquely consolidates the physical, mechanical, and rheological evaluations of 3D-bioprinted hydrogels for dental applications. The review highlights critical gaps in methodological standardisation and validation, emphasising the importance of biomaterial selection to optimise scaffolds and regenerative outcomes in periodontal, bone, and pulp tissue engineering. Full article

Although climate change is increasingly recognized as a material risk for firms, the extent to which climate-related risks are operationally integrated into enterprise risk management (ERM) processes remains unclear. This article presents a structured literature review to answer the question of how firms have integrated climate risk assessment, considering both physical and transition risks, into ERM processes. Following the PRISMA 2020 protocol, 22 published articles from Web of Science and Scopus, published between 2018 and 2026, were included in the review. Articles covering financial institutions, as well as policy-only and sectoral-only studies, were excluded. The articles were screened through five eligibility criteria: firm-level focus, governance, risk assessment, climate risk management and/or ERM, and type of climate risk. All articles were assessed by two researchers to reduce bias, and Cohen’s kappa was calculated. Following coding and qualitative analysis, the findings indicate that firms have advanced governance structures, disclosure practices, and analytical assessment tools for climate risk assessment, while operational integration into ERM systems remains limited. Results also reveal persistent integration gaps, including strategic–operational disconnection, temporal and methodological mismatches, symbolic implementation, and systemic and knowledge barriers. These challenges constrain the effective translation of climate risk information into risk management practices and strategic planning. Overall, the study, based only on academic literature, concludes that climate risk integration is still incomplete and weakly embedded within ERM systems. In the expanding regulatory landscape, particularly with IFRS S2, the study provides a baseline for understanding current firm-level practices and future developments in climate risk integration at the academic level. Full article

Background: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is a global health priority affecting approximately 30% of the population. It represents the hepatic manifestation of metabolic syndrome, potentially progressing from simple steatosis to Metabolic Dysfunction-Associated Steatohepatitis (MASH), cirrhosis, and hepatocellular carcinoma. This review aims to compare current knowledge of MASLD in mouse models and humans, focusing on pathophysiology, histological phenotypes, and the role of preclinical imaging as a non-invasive translational screening tool. Methods: A literature search was conducted in PubMed and Web of Science to identify English-language publications from January 2020 to March 2026 on murine models and imaging techniques for MASLD, using pertinent keywords. Attention was given to highlighting similarities and differences between human and murine approaches. Results: MASLD arises from complex interactions between genetics, sedentary lifestyles, and imbalanced diets. While mouse models have been refined to capture the multifactorial interplay driving disease progression and are still essential for drug development, no single model fully mirrors the human condition. Histological assessment remains an essential tool for MASLD staging, in both humans and mouse models. However, imaging is increasingly emerging as an important complementary technique to non-invasively investigate MASLD. Conclusions: Mouse models are essential to address specific mechanistic and therapeutic questions, but understanding of their limitations and strengths is crucial for translational research. Integrating phenotype-driven approaches in both humans and mice, combining traditional histology, quantitative imaging, and metabolic profiling, as well as longitudinal, combined, and humanized preclinical models, will enhance translational alignment and accelerate the development of therapies for MASLD. Full article

Scientific production on CrossFit^® has expanded alongside the growing popularity of the modality; however, multi-database scientometric analysis describing its structure, research trends, and knowledge gaps remains limited. Objective: This study conducted a scientometric analysis to identify patterns within the literature and to provide directions for future research. Methods: Searches were performed in the databases Web of Science, PubMed, and Scopus, including all publications available up to December 2024. The search identified 3927 records. After removing duplicates and excluding reviews, meta-analyses, and studies outside the scope, 526 original articles were included in the analysis. Scientometric analyses were conducted using Bibliometrix (version 4.3.2) implemented in R (version 4.4.2), with additional support from Microsoft Excel and VOSviewer (v1.6.20). Results: The results indicate a marked growth in publication output, with an average annual increase of approximately 37.5%, reflecting the increasing academic interest in the modality. The United States and Brazil emerged as leading contributors, supported by strong research infrastructure and expanding scientific communities. The thematic structure of the field is predominantly centered on physiological responses, performance outcomes, and injury-related topics, while psychosocial, behavioral, and population-specific dimensions remain comparatively underexplored. Despite the observed expansion, the findings suggest that quantitative growth has outpaced methodological diversification and longitudinal development within the field. In addition, a limited integration between scientific findings and applied training contexts was identified, highlighting a gap between research production and real-world practice. Conclusion: Overall, CrossFit^® research appears to be expanding toward a more diversified and structured scientific field; however, advancing the field will require greater methodological rigor, increased focus on longitudinal and integrative approaches, and stronger translation of scientific evidence into applied settings. Full article

Background: The importance of evidence-based practice (EBP) is well recognized, yet its implementation remains challenging across healthcare systems, especially in low- and middle-income countries, where resource constraints, workforce turnover, and organizational barriers can hinder practice change. The traditional approach to implementation has focused on training, guidelines, and leadership support; however, these strategies do not always sustain frontline staff engagement. Objective: This descriptive case study examined how social movement strategies supported a multi-year EBP implementation initiative within a Philippine academic–clinical partnership. Methods: Program documents, training records, implementation reports, curriculum materials, and internal records of guideline-related activities were reviewed. Data were organized using the Social Movement Action Framework, with attention to preconditions for change, social movement mechanisms, and implementation outcomes. Results: The initiative included champion training, guideline integration, awareness activities, academic–clinical collaboration, and practice-focused implementation efforts related to breastfeeding, vascular access device management, and pressure injury prevention. These activities provided observable process indicators of stakeholder engagement, shared ownership, and continued use of guideline-informed practices. Conclusions: Social movement strategies may offer a useful complementary lens for understanding how EBP implementation gains momentum in real-world healthcare settings. Additional studies should explore their relationship to implementation outcomes and clinical care processes. Full article

The development of computational thinking in introductory programming remains a major challenge, particularly in vocational secondary education, where students frequently encounter difficulties in understanding code structure, identifying errors, and translating problem statements into algorithmic solutions. This study examines the use of code comments as a pedagogical scaffold within a digitally supported learning environment enriched with multimodal instructional resources for novice programming students. An exploratory mixed-methods classroom intervention was conducted in a vocational secondary education context, combining comment-centered coding activities with digital educational resources such as online forms, classroom management tools, guided worksheets, interactive exercises, and feedback-oriented learning tasks. The intervention was examined through a pre- and post-test on computational thinking, a pre- and post-intervention questionnaire on students’ knowledge, practices, and perceptions regarding code comments, and supporting qualitative evidence from classroom artifacts. The findings showed a marked improvement in computational thinking performance over the course of the intervention, with the mean test score increasing from 43% to 91%. Students also reported more positive and more elaborated views regarding the role of code comments in code comprehension, debugging, organization, and learning support. Given the single-group design and small sample, these results should be interpreted as exploratory and context-specific rather than as evidence of intervention-only causality. Nevertheless, the study provides practice-based evidence that code comments, when embedded in a structured multimedia-supported learning design, may function as a useful pedagogical scaffold in introductory programming education. This study contributes empirical evidence from an underrepresented vocational secondary education setting and offers actionable implications for multimedia-based digital learning in computer science education. Full article

Background: The convergence of Evolutionary Game Theory (EGT) and Artificial Intelligence (AI) has established the field of Intelligent Evolutionary Games (IEGs). While IEG applications have flourished in general systems and social sciences, their operationalization within healthcare (IEG Health) remains significantly underdeveloped. This study identifies a “knowledge void” in the literature, where the bottleneck is not a lack of clinical data but a scarcity of frameworks that integrate intelligent strategic modelling into clinical practice. Methods: We employ the Synthetic Near-Empty Review (SNER) framework, utilizing Synthetic Knowledge Synthesis (SKS) and bibliometric triangulation via VOSviewer. Three distinct corpora—IEG Health, EG Health, and IEG All (IEG)—were harvested from Scopus and mapped to identify thematic clusters and translation pathways. Results: The analysis reveals that IEG Health is a nascent domain currently focused on service regulation in elderly care and chronic disease management. We demonstrate a “Translation Framework” to bridge the research void, mapping concepts like Social Trust and Reputation Management from the broader IEG literature into clinical-specific models, such as Doctor-AI Adoption and Adaptive Coordination Games. Conclusions: By shifting from static Replicator Dynamics to Adaptive Learning Strategies (e.g., MARL and Bayesian updating), IEG Health can address critical challenges like algorithm aversion and clinical deskilling. Furthermore, transitioning these models into clinical environments requires the incorporation of structured ethical guidelines, such as ALTAI, to ensure algorithmic accountability. This study provides a structured foundation for future research to transition from theoretical modelling to AI-augmented clinical decision-making. Full article

In the contemporary educational landscape, quality education requires a shift toward pedagogical models that develop knowledge and prepare students for the complexities of professional careers. This manuscript is an exploratory investigation of an educational innovation centred on podcast production within a Master of Science course (21 students). By moving beyond traditional oral assessment, this intervention fosters active learning and soft skills, such as metacognition, scientific communication, and collaborative problem-solving, which are essential for contributing to a sustainable society. The study examines the translation of a written technical essay on sustainable materials into digital storytelling. Students engaged in a multi-stage process of research, synthesis, and peer review. Marks across three consecutive course editions using the same evaluation rubric were compared, and qualitative feedback was gathered from 15 students through a questionnaire. The learners reported enhanced topic mastery (93.3%) and critical thinking (80%). By bridging the gap between academic research and non-specialist communication, this activity provides a scalable model across diverse disciplines. This research showcases how podcasting can overcome traditional learning barriers, ensuring that higher education remains responsive to the evolving requirements of our global society. Full article

Hematologic malignancies arise and progress within a systemic ecosystem in which the gut microbiota is an increasingly recognized, partially modifiable component. Across acute leukemias, chronic lymphocytic leukemia, plasma cell disorders, lymphomas, and clonal myeloid neoplasms, human studies consistently report reduced microbial diversity, depletion of barrier-supportive, short-chain fatty acid-producing commensals, and enrichment of Gram-negative, pro-inflammatory, or hospital-adapted taxa. These alterations are associated with pre-leukemic clonal expansion, adverse genetic and immunological features, progression from precursor conditions, and inferior outcomes after chemotherapy, immunochemotherapy, chimeric antigen receptor T-cell therapy, and allogeneic hematopoietic stem cell transplantation. Mechanistic work in animal models and ex vivo systems demonstrates that microbiota-derived signals and metabolites—including Th17/IL-17-skewing consortia and the lipopolysaccharide intermediate ADP heptose sensed by the cytosolic receptor ALPK1—can actively modulate hematopoietic stem and progenitor cell fitness, inflammatory circuits, and malignant cell survival, supporting a causal role in disease biology. At the same time, major knowledge gaps remain because most human cohorts are small, single-center, and cross-sectional, frequently rely on 16S rRNA profiling, and are vulnerable to dietary, geographic, and treatment-related confounding. Within this context, three translational domains appear particularly promising: pharmaco-microbiomics, microbiome-informed risk stratification, and rational microbiota-targeted interventions, particularly diet-based strategies and antimicrobial stewardship. Here, we provide an integrated, disease-spanning synthesis of these data, emphasizing clonal hematopoiesis and myeloid neoplasms as emerging examples of microbiota–marrow crosstalk and outlining practical priorities for embedding microbiome science into future hematologic trials. Routine microbiome profiling or empiric microbiota-directed therapies cannot yet be recommended in everyday hematology practice, but integrating microbiome science into prospective therapeutic and transplant trials offers a realistic path to improved disease modeling, biomarker development, and rational adjunctive strategies to enhance outcomes for patients with hematologic malignancies. Full article

Disinformation is a global challenge that affects areas such as politics, health, economics, and science and is spread rapidly by social media (SM), suggesting the necessity of advancing educational proposals to strengthen critical thinking (CT) and digital literacy (DL). This quantitative, non-experimental, descriptive study identified the self-perception that master’s students (n = 72; at three Spanish universities; October 2024–March 2025) have regarding their DL, along with their CT, in post-truth and fake news settings. A self-administered online questionnaire (53 items) was conducted, covering aspects such as the responsible use of information and platforms, algorithmic perceptions, actions taken to verify this information, and concepts of CT, post-truth, and fake news. The results show that Instagram (97%) and WhatsApp (96%) predominated, with a notable proportion of users (86%) reporting that algorithms influenced them ‘highly’ or ‘moderately’. Despite being aware of disinformation they find on social media (65%) as well as its close link to hate speech (90% who ‘strongly’ or ‘somewhat’ agreed), this knowledge does not fully translate into taking measures to counter it. In fact 61% of respondents report sharing news on at least some occasions, while only 25% are able to identify a professional fact-checking organization. In conclusion, these findings suggest the merit of assessing the prevalence of skills such as Critical Thinking (CT) and strategies like fact-checking among students in other postgraduate education systems. Such assessments could inform the potential promotion of media and digital literacy as cross-curricular skills in education. This approach would help bridge the gap between theoretical knowledge and the active verification needed to counter disinformation. Full article