Search Results (947)

The rapid evolution of Earth observation satellite missions and computational methods made satellite remote sensing a foundation of state-of-the-art crop yield prediction. Therefore, the aim of this review is to analyze dominant drivers of crop yield prediction research based on satellite remote sensing, including dominant sensor types, satellite missions, crops, and specific research topics, as well as to identify present issues and research gaps. This review summarizes the bibliometric analysis of satellite-based crop yield prediction publications during 2000–2025, including 1174 articles that were indexed in the Web of Science Core Collection. Annual publication and citation trends, geographic patterns of research publications, prevalent satellite missions and sensor types, predominant crops used in research and trends in research themes were analyzed in the study. Findings show that there has been a consistent expansion of the study topic regarding publication count, with multispectral data, especially that of Sentinel-2, Landsat, and MODIS missions, being utilized in most of the literature in the field, while radar-based approaches are becoming increasingly important, providing complementary data to multispectral imagery. The review indicates a methodological shift in the models of simple regressions to machine learning, deep learning, and multi-sensor data fusion frameworks that use dense satellite imagery time series. Full article

Blue carbon ecosystems are critical biodiversity hotspots facing escalating threats. Coastal and Marine Spatial Planning (CMSP) is a key policy tool for protecting their biodiversity and enhancing ecosystem services, resilience, climate action, and sustainable development. We performed a systematic bibliometric analysis (1981–2025) using the Web of Science Core Collection. The results indicated that global CMSP–blue carbon ecosystems collaborative research exhibits a three-stage evolutionary pattern: the initial phase (2008–2012) of blue carbon concept introduction; the development phase (2013–2018), where research focus shifted to carbon sinks and ecology driven by policy initiatives; and the growth phase (2019–2025), where research focused on precision systematic governance. Research has evolved from baseline ecosystem assessments to policy governance integration, which emerged as a core component of Marine Spatial Planning to advance sustainable development. Research networks exhibit a “center–periphery” pattern. However, the international influence of China’s research output remains limited. Future CMSP collaborative governance will require refining planning frameworks, addressing regional technical adaptation challenges, and establishing a multidimensional policy system to reconcile the effective conservation of blue carbon ecosystems in order to reconcile biodiversity, resilience, and sustainable development. This study maps the CMSP–blue carbon ecosystems research landscape, informing improved climate-friendly marine and coastal spatial planning for enhanced coastal wetland biodiversity and ecological resilience. Full article

Background: Hyaluronic acid (HA) and β-tricalcium phosphate (β-TCP) are widely used biomaterials in periodontal and alveolar regeneration; however, their complementary biological roles across soft- and hard-tissue healing have not been jointly assessed in a single review. Objective: to systematically evaluate clinical and translational evidence regarding the adjunctive use of HA in periodontal therapy and the regenerative performance of β-TCP in alveolar bone reconstruction. Methods: A systematic search was conducted across PubMed/MEDLINE, Scopus, Web of Science Core Collection, and Embase for studies published between 1 January 2015 and 1 October 2025. Randomized and non-randomized clinical studies evaluating HA as an adjunct to periodontal therapy and β-TCP in ridge preservation or augmentation were included. In vitro studies were considered when providing mechanistic insight relevant to clinical outcomes. Screening, data extraction, and qualitative synthesis were performed according to PRISMA 2020 guidelines. Results: Database searching identified 312 records. After removal of duplicates, 241 records were screened, of which 179 were excluded. Sixty-two full-text articles were assessed for eligibility, and twenty studies met the inclusion criteria (twelve clinical; eight in vitro). Across non-surgical periodontal therapy trials, adjunctive HA demonstrated modest but consistent additional improvements in probing depth reduction (~0.8–1.5 mm) and clinical attachment gain (~0.5–1.2 mm) compared with mechanical therapy alone, particularly in deeper defects and systemically compromised patients. Clinical studies on β-TCP reported predictable dimensional bone preservation and stable implant feasibility, supported by histologic evidence of scaffold-guided new bone formation. In vitro findings indicated that HA modulates biofilm-induced inflammation and supports fibroblast and epithelial cell function, whereas β-TCP promotes osteoblast activity and controlled osteoclast-mediated remodeling. Conclusions: HA and β-TCP demonstrate complementary regenerative roles, with HA primarily enhancing soft-tissue resolution and inflammatory modulation and β-TCP providing osteoconductive structural support for bone regeneration. Current evidence supports their selective integration in personalized regenerative approaches; however, standardized outcome reporting and longer-term trials are required to establish the clinical value of sequential or combined application. Full article

(1) Background: Menstruation is subject to stigma worldwide, which has led to restrictive cultural norms and taboos rooted in religion, customs, and patriarchal systems. The resulting ‘cultural stigma’ associated with menstruation exacerbates health inequities, restricts access to sexual and reproductive health rights (SRHRs), and undermines girls’ and women’s participation in educational, economic, social, and spiritual activities. This scoping review examines interventions to address menstrual stigma experienced by girls and women in India (2) Methods: We used the Joanna Briggs Institute (JBI) methodology for scoping reviews. After systematic searches on 14 March 2024 across six databases (Academic Search complete, APA PsycInfo, Womens Studies International, Web of Science Core collection, MEDLINE, and Index Medicus-SEAR), we screened 1323 records. (3) Results: Findings from 13 unique study reports reveal diverse approaches to addressing menstrual stigma, including income generation initiatives, sexual education, peer training, technological tools, and arts-based approaches. While the interventions initiated dialogue among girls and women in India, they often lacked broader community engagement, leaving structurally embedded patriarchal norms unchallenged. Additionally, most programs targeted adolescent schoolgirls, with limited attention to waged girls and adult women. (4) Conclusions: Addressing menstrual stigma is critical to advancing gender equality and health equity in India. More research is needed to understand effective ways to galvanize community-wide support in dismantling the deeply rooted patriarchal structures that shape interconnected stigma processes leading to health inequities among girls and women in India. Full article

The present systematic review and meta-analysis aims to establish whether the brain, cerebrospinal fluid (CSF), serum/plasma whole blood, urine, and hair levels of copper, ceruloplasmin, zinc, and manganese are related to the risk for Parkinson’s disease (PD). We reviewed the PubMed and Web of Science Core Collection databases from 1966 to 29 November 2025, and identified references of interest for this topic. We performed the meta-analysis of eligible studies that followed the PRISMA and MOOSE guidelines, with the R software package meta R 4.2.0 version. When compared to age- and sex-matched controls, PD patients showed decreased concentrations of copper in the substantia nigra and other brain areas, a trend towards increased CSF and decreased serum/plasma copper levels, decreased serum/plasma ceruloplasmin levels, decreased zinc levels in serum/plasma and increased zinc in whole blood and hair, and increased hair manganese levels. These results suggest an association between these transition metals and risk for PD. Full article

Digital competence has become a key component of teaching excellence in higher education. This study, from a global framework, presents a bibliometric analysis of scientific production on digital competences in the university context to identify research trends, collaboration networks, and thematic evolution in Latin America. A total of 1985 papers published between 1993 and 2025 in the Web of Science Core Collection were analyzed using a PRISMA-based protocol. The results show exponential growth in publications since 2019, underscoring the global relevance of digital literacy in transforming teaching and learning processes. Spain stands out as a leading country in productivity and impact, supported by consolidated institutional frameworks such as DigComp and DigCompEdu. Keyword analysis reveals a transition from a tech-skills-focused approach to a more holistic perspective that incorporates critical thinking, ethics, and responsible use of emerging technologies, especially artificial intelligence. Although Latin America shows an increase in its contributions, its international visibility remains limited and requires strengthening scientific collaboration. This study provides a broad understanding of the field’s academic structure and outlines strategic directions to advance teachers’ digital competence and promote more inclusive, innovative, and sustainable university systems. Full article

The main purpose of this study was to conduct a bibliometric analysis of scientific knowledge and trends in modern finance. To this end, the analysis was based on the keywords: “finance”, “automation”, and “ESG”. The analysis aimed to provide theoretical insights into the economic and financial implications of automation and its role in achieving ESG objectives. From a methodological standpoint, bibliometric research was conducted on 21 September 2025. It involved analysing a total of 16,500 scientific articles published between 1974 and 2026 in two databases: The Web of Science Core Collection and Scopus. The Bibliometrix R 5.2.0 version tool was used to generate visualisations. Thematic mapping, three-field plotting, keyword mapping, and clustering were the main methods used to analyse the associations between finance, automation, and ESG principles. The study’s results showed an average annual increase in publications of approximately 3.80% and 2.50%, respectively, while international collaborations between researchers have become increasingly prominent in recent years. At the same time, the co-occurrence network analysis identified five key thematic clusters in the Web of Science Core Collection and three in Scopus. From a comparative perspective, these clusters highlight the most significant connections between environmental, social, and governance (ESG) performance, corporate social responsibility (CSR) impact, financial performance, economic growth, sustainable development, and the implications of the automation process. From a bibliometric point of view, this research contributes to a better understanding of the multiple digital transformations specific to the current financial framework, generating possible future research directions on the significant role of automation in financial, environmental, and social performance. Furthermore, automation is a critical component of the digital future of finance. Analysing and investigating the causal relationships between automation and Environmental, Social, and Governance (ESG) principles will necessitate new areas of study within the financial sphere. Full article

This article presents a systematic, comparative, and reproducible mapping of the scientific literature examining how the term glocalization is mobilized in contemporary research. We analyze a corpus of 2200 articles (1990–September 2025) from Web of Science and Scopus and report in line with PRISMA 2020 and PRISMA-ScR (scoping). Methodologically, we combine PRISMA-ScR-aligned screening with the bibliometric and lexicometry mapping of metadata, complemented by the qualitative interpretation of a purposive subset of key texts to contextualize the mapped trajectories. Following normalization, we apply co-occurrence and correspondence analyses to identify lexical proximities and cross-disciplinary translation zones. We ask how glocalization is conceptualized, the contexts in which it is deployed, and whether classic theoretical frameworks retain their explanatory power. Findings show a gradual shift from a mainly conceptual to more operational register. Regional differences are marked yet organized around a core of governance, multilevel coordination, and collective practice. The disciplinary landscape shows continuity between techno-applied and reflexive approaches, supported by bridging disciplines (sociology, communication, education, health, sport) that translate a general grammar into research and intervention tools. We offer a cumulative methodological framework for tracing the scientific trajectory of glocalization. As a bridge concept between theory and action, glocalization provides an explanatory lens on transformations and resistances in early-twenty-first-century globalized society. We therefore position this study as a PRISMA-traceable corpus construction combined with bibliometric and lexicometry science mapping. Full article

Background: Restenosis and intimal hyperplasia following arterial bypass surgery or percutaneous interventions remain major clinical challenges that significantly impair long-term vessel patency and clinical outcomes, despite substantial technological progress. Preclinical research aimed at understanding the biological mechanisms underlying restenosis and developing effective therapeutic strategies relies heavily on experimental animal models. Methods: A narrative review of the literature was conducted using PubMed, Embase, Web of Science Core Collection, and the Cochrane Library to identify relevant studies describing animal models of restenosis and intimal hyperplasia following percutaneous cardiovascular interventions. Results: The reviewed studies describe a broad range of animal models, including rodents, rabbits, swine, and other large animals, with each species exhibiting distinct anatomical, physiological, and pathological characteristics that influence its suitability for studying restenosis and intimal hyperplasia. Considerable interspecies variability exists in vascular healing responses, inflammatory processes, and translational relevance. Conclusions: Animal models remain indispensable tools for investigating restenosis and intimal hyperplasia and for evaluating novel pharmacological and device-based therapies. Understanding interspecies differences is essential for designing appropriate experimental studies and interpreting findings. Careful animal model selection is critical to improving translational relevance and facilitating successful clinical translation. Full article

The convergence of digital innovation and sustainability imperatives is transforming the architecture of agri-food systems, signaling not just a technological upgrade, but a reorganization of how food production, distribution, and governance are approached. This study presents a comprehensive bibliometric mapping of global research on sustainable and digital agri-food systems between 2004 and 2025, based on data from the Web of Science Core Collection and analyzed using the Bibliometrix within RStudio (Version: 2024.12.1+563). Through co-word analysis, bibliographic coupling, and temporal trend exploration, the study identified a marked surge in scholarly activity after 2020, driven by the alignment of digital innovation with major policy frameworks such as the European Green Deal and the Farm-to-Fork Strategy. Findings highlight Europe—particularly Italy, the Netherlands, and France—as the leading knowledge hub, demonstrating both institutional capacity and policy responsiveness. Thematic clusters revealed four dominant trajectories in recent research: digital governance, blockchain and traceability, circular economy integration, and ESG-based performance frameworks. These directions suggest a transition from narrow efficiency-centered approaches to more comprehensive, ethically informed, and technologically integrated agri-food systems. The study frames digitalization as both a technical infrastructure and a socio-organizational driver that reshapes transparency, accountability, and coordination within food value chains. It also outlines strategic entry points for improving interoperability, bridging digital divides, and advancing collaborative governance models across the agri-food sector. In addition to its empirical findings, the article contributes methodologically by positioning bibliometric analysis as a valuable tool for tracking major conceptual and structural shifts within food system research. In conclusion, digital transformation in agri-food systems is not merely about technological enhancement—it is a fundamental restructuring of processes, relationships, and governance mechanisms that define how food systems operate in an era of innovation, complexity, and sustainability challenges. Full article

Smart devices and multimodal biosignal systems, including electroencephalography (EEG/MEG), ECG-derived heart rate variability (HRV), and electromyography (EMG), increasingly supported by artificial intelligence (AI), are being explored to improve the assessment and longitudinal monitoring of mental health conditions. Despite rapid growth, the available evidence remains heterogeneous, and clinical translation is limited by variability in acquisition protocols, analytical pipelines, and validation quality. This systematic review synthesizes current applications, signal-processing approaches, and methodological limitations of biosignal-based smart systems for mental health monitoring. Methods: A PRISMA 2020-guided systematic review was conducted across PubMed/MEDLINE, Scopus, the Web of Science Core Collection, IEEE Xplore, and the ACM Digital Library for studies published between 2013 and 2026. Eligible records reported human applications of wearable/smart devices or multimodal biosignals (e.g., EEG/MEG, ECG/HRV, EMG, EDA/GSR, and sleep/activity) for the detection, monitoring, or management of mental health outcomes. The reviewed literature after predefined inclusion/exclusion criteria clustered into six themes: depression detection and monitoring (37%), stress/anxiety management (18%), post-traumatic stress disorder (PTSD)/trauma (5%), technological innovations for monitoring (25%), brain-state-dependent stimulation/interventions (3%), and socioeconomic context (7%). Across modalities, common analytical pipelines included artifact suppression, feature extraction (time/frequency/nonlinear indices such as entropy and complexity), and machine learning/deep learning models (e.g., SVM, random forests, CNNs, and transformers) for classification or prediction. However, 67% of studies involved sample sizes below 100 participants, limited ecological validity, and lacked external validation; heterogeneity in protocols and outcomes constrained comparability. Conclusions: Overall, multimodal systems demonstrate strong potential to augment conventional mental health assessment, particularly via wearable cardiac metrics and passive sensing approaches, but current evidence is dominated by proof-of-concept studies. Future work should prioritize standardized reporting, rigorous validation in diverse real-world cohorts, transparent model evaluations, and ethics-by-design principles (privacy, fairness, and clinical governance) to support translation into practice. Full article

Research on road transport infrastructures is rapidly evolving as electrification, automation, and digital connectivity reshape how systems are designed, operated, and managed. This study presents a combined bibliometric, scientometric, and network analysis of 2755 publications published between 2021 and 2025 to map the intellectual structure, main contributors, and dominant technological themes shaping contemporary road transport research. Using data from the Web of Science Core Collection, co-occurrence mapping, thematic analysis, and collaboration networks were generated using Bibliometrix and VOSviewer. The results reveal strong growth in research output, with China, the United States, and Europe forming the core of high-impact publication and collaboration networks. Six bibliometric clusters were identified and consolidated into three overarching domains: road transport systems, emphasizing vehicle dynamics, control, and real-time computational frameworks; energy and efficiency-oriented mobility research, focusing on electrification, optimization, and infrastructure integration; and emerging digital technologies, including IoT, AI, and autonomous vehicles. The analysis highlights persistent research gaps related to interoperability, cybersecurity, large-scale deployment, and governance of intelligent transport infrastructures. Overall, the findings provide a data-driven overview of current research priorities and structural patterns shaping next-generation road transport systems. Full article

Objective: Glaucoma is a complex optic neuropathy characterized by the progressive loss of retinal ganglion cells (RGCs). Animal models are crucial tools for deciphering its multidimensional pathogenesis and evaluating novel therapeutic strategies. This review aims to systematically summarize the establishment methods, application advances, and future development trends of various glanimal models. Methods: The literature for this review was identified through systematic searches of electronic databases, including PubMed, Web of Science Core Collection, and Google Scholar. The search strategy utilized a combination of keywords and their variants: “glaucoma”, “animal models”, “retinal ganglion cells”, “intraocular pressure”, “neuroprotection”, “immune inflammation”, “fibrosis”, and “filtration surgery”. The search focused on articles published between 2015 and 2025 to cover the major advances of the last decade. The scope encompassed original research articles, reviews, and meta-analyses. Results: Diverse glanimal models successfully replicate different facets of glaucoma, elucidating multidimensional pathogenesis involving mechanical stress, immune inflammation, excitotoxicity, oxidative stress, and fibrosis. These models have played an indispensable role in screening neuroprotective agents, evaluating anti-fibrotic strategies, and validating the application of advanced imaging and functional assessment technologies. Current research is evolving towards model standardization, multi-factor simulation, and the integration of novel drug delivery systems and immunomodulatory strategies. Conclusions: The diversification of glanimal models provides a powerful platform for in-depth investigation of disease mechanisms and the development of innovative therapies. Future research should focus on establishing standardized models that better mimic the clinical pathological state and deeply integrating multimodal assessment technologies with targeted therapies. This will facilitate the translation of basic research into clinical applications, ultimately achieving personalized precision medicine for glaucoma. Full article

As contemporary global supply chains have become interconnected and exposed to diverse escalating cyber threats, Cyber Supply Chain Risk Management (C-SCRM) has rapidly evolved as a managerial imperative to safeguard security, robustness, and resilience, and hence ensure organizational sustainability and growth. While the concept of C-SCRM has recently received much attention among scholars, practitioners, and policymakers as an emerging field of study, its conceptual utility and theoretical foundation remain undeveloped. To address this gap, this paper provides a systematic literature review of C-SCRM using a hybrid approach that integrates bibliometric and concept evaluation analysis to ensure the goodness of the concept. A total of 175 relevant peer-reviewed scholarly articles from the Web of Science (WOS) Core Collection were collected and analyzed. The review reveals that the concept has many strengths, in terms of its interdisciplinary conceptual foundation and growing managerial relevance, but it also suffers from conceptual diffusion, overlapping terminology, and limited construct operationalization that inhibits theory development, hinders empirical accumulation, and limits practitioners’ ability to operationalize C-SCRM as a strategic resource. This review contributes to the C-SCRM literature by providing (1) a historical overview and intellectual structure of C-SCRM; (2) a synthesis and comparative analysis of the existing definitions; (3) an evaluation of the conceptual adequacy and theoretical relevance that underpin C-SCRM research based on established criteria and (4) conceptual and empirical research directions as well as an integrative framework. Based on the insights, our review might facilitate the improvement of multidimensional construct clarity and validation in future empirical studies and could be a useful tool for managers to benchmark C-SCRM maturity in practice. Full article

Chinese fir [Cunninghamia lanceolata (Lamb.) Hook.] is a fast-growing species widely utilized in construction, industrial raw materials. Owing to its broad application scope, research on Chinese fir is fragmented across multiple disciplines, making it difficult to grasp the overall research context and trends. Following the PRISMA guidelines, we retrieved articles related to Chinese fir published between 1942 and 2024 from Chinese databases (i.e., CNKI, Wanfang Data, and VIP Chinese Journal Database) and the Web of Science Core Collection (WOSCC). After removing duplicate and irrelevant records, a total of 7174 valid records were retained, including 5862 from Chinese databases and 1312 from WOSCC. The PRISMA-screened literature was imported into CiteSpace V.6.2.R4 for bibliometric analysis. Through keyword clustering, burst detection, and timeline mapping, we focused on analyzing the domestic resource distribution, research hotspots, and evolutionary trends of Chinese fir research. The results showed that research publications on Chinese fir have increased year by year, and international research started earlier and is more in-depth, while Chinese research covers a wider scope. Both follow two stages (germination and growth). Chinese research focuses on basic application areas such as seedling cultivation and plantation management; international research emphasizes ecological functions and biomass development. Global research exhibits convergence in the field of eco-environmental interactions; specifically, both domestic and international studies investigate the impacts of climate change (e.g., drought and global warming) and nitrogen deposition on the growth and functional evolution of Chinese fir. This study provides references for researchers, forestry policymakers, and planters. Full article