The objectives of this research were: i) to study the essential needs; ii) to develop a training course; and iii) to test the effect of the training course for enhancing the production of innovative learning (IL) and classroom action research (CAR). The researcher used cluster sampling to study essential needs with a sample of 165 physical education teachers. The tool was an essential needs assessment. Data were analyzed by finding the priority needs index (PNI)-modified. The course was developed by checking the utility, feasibility, propriety, and accuracy of five experts. Data were analyzed using a one sample t-test. Then the researcher experimented of the course with a sample group of 30 physical education teachers from the Office of Secondary Education Service Chon Buri Rayong, obtained by purposive selection. The tools used were a training course, a knowledge test, an attitude test, and a practical skills assessment form. Data analysis was conducted to determine the efficiency of a training course according to the training process outcome (E1/E2) correlation criterion, which stipulated the 80/80 standard. Results found that the training course to produce IL and CAR for physical education teachers had an efficiency was by the established criteria.

This study aims to evaluate indicators of continued research involvement and activity among hand fellowship faculty. Specifically, we assess the impact of research publication counts during different stages of medical training and geographic factors on the academic productivity of hand surgeons. A retrospective cross-sectional analysis was conducted using data from all fellowships listed on the American Society for Surgery of the Hand Fellowship Directory from June 2024 to July 2024. Faculty names were collected, and an algorithm was used to automate searches for research publication output across preresidency, residency, fellowship, and postfellowship periods. PubMed and Scopus databases were used to compile publication counts and H-indices. Data were categorized by geographic regions (Northeast, Midwest, South, West) and analyzed using descriptive statistics, Kruskal-Wallis tests, and negative binomial regression to determine the relationship between publication counts during training and total career publications. The analysis included 94 hand fellowship programs and 645 physicians. Major regional differences were observed in publication counts during fellowship, postfellowship, and overall medical careers, with the Midwest showing the highest averages. A negative binomial regression revealed that publication counts during residency and fellowship, as well as the length of the medical career, independently predicted total career publications. Finally, Southern programs had the highest area deprivation index values, whereas Western programs had the highest Hirsch index to area deprivation index ratios, indicating increased productivity regardless of the area's socioeconomic status. Research publication counts during hand surgeon training, particularly during fellowship, serve as key indicators of continued research leadership. Geographic variations suggest regional differences in research productivity and resource availability. These findings underscore the importance of early and sustained research involvement for academic success in hand surgery. Prognostic III.

Mapping air pollution across space remains challenging, even in countries with dense monitoring networks. In Germany, pollutant levels can change over short distances because of traffic, land use, and meteorological conditions, while national assessments often rely on unevenly distributed monitoring stations. This study examines how openly available satellite observations and reanalysis data can support annual modelling of NO2 and PM2.5 across Germany from 2019 to 2024. Sentinel-5P (NO2 and CO), MODIS Normalized Difference Vegetation Index (NDVI) and Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol optical depth (AOD), and ERA5-Land meteorological variables were combined with EuroAirnet observations, and seven machine-learning algorithms were evaluated. Model performance was assessed using random cross-validation, an independent test set, and spatial cross-validation, while SHAP (Shapley Additive Explanations) values were used to interpret predictor contributions. For NO2, Random Forest achieved the highest accuracy (R2=0.68; RMSE=5.87μgm-3), with SHAP analysis identifying tropospheric NO2 and vegetation structure (NDVI) as the most influential predictors. PM2.5 proved more difficult to model at the annual scale: Gradient Boosting performed best (R2=0.50; RMSE=11.53μgm-3), with surface pressure, NDVI, and co-emitted gases emerging as key variables, while MAIAC AOD contributed little independent information when aggregated annually. A sensitivity analysis showed that including a static road-density layer improved NO2 estimates near monitoring sites but provided limited gains under spatial validation. The resulting concentration maps reproduce the main national patterns observed in the monitoring network, showing a decline in NO2 and more regionally variable behaviour for PM2.5. Although annual predictors cannot capture short-term variability or highly localised emission sources, the study provides a transparent and reproducible framework for national-scale air-quality assessment based entirely on open global datasets and highlights the potential to integrate additional Earth observation and climate reanalysis products in future research.

Global trends and thematic evolution in antimicrobial stewardship research: a comprehensive bibliometric and network analysis (1977-2025).

Understanding the impact of social determinants of health in hematology: a scoping review of trends across journals and over time.

This research analyzes the performance allowance policy and welfare of ASN researchers at LIPI who have currently joined the National Research and Innovation Agency (BRIN) with a focus on their potential impact on productivity. Different from previous studies that highlighted well-being, this study evaluated the relationship between incentives and the number of publications on Google Scholar and Scopus using qualitative descriptive analysis. Data from 2012, 2015, 2019, and 2022 show an imbalance between incentives and productivity, where senior researchers receive larger increases in benefits even though their productivity does not increase proportionately. The results show that incentive policies are based more on the hierarchy of positions than the potential productivity of researchers. These results indicate that the current incentive policy is more strongly determined by job hierarchy than by actual scientific productivity. In conclusion, although the increase in performance allowances contributes to improving researchers’ welfare, the policy has not yet fully functioned as an effective instrument for stimulating publication productivity. Therefore, a more balanced and performance-oriented incentive scheme is needed to better align welfare improvement with the goal of strengthening national research competitiveness

Scientometric study on vibration energy and harvesting research productivity (2015 to 2024): Analysing trends and implications

Causal relationship between dairy intake and obesity: a two-sample bidirectional and multivariable Mendelian randomization study.

Purpose: This study analyzes the scientific production of the Transformative Service Research (TSR) topic to understand the research field, identifying the principal authors, journals, emerging themes, methods, and service context. Design/methodology/approach: We performed a bibliometric analysis using the bibliometrix package in the R language. From a search and filtering of the Web of Science and Scopus database, we analyzed 284 articles published between 2010 and 2023 in the field of TSR. We used citation analysis to identify influential authors. We also examined the area’s intellectual, conceptual, and social structures based on co-citation, conceptual map analysis, and collaborative networks between authors. In the second stage, we performed content analysis to identify the main methods and service contexts researched in the TSR field. Findings: The results indicate that the number of articles using TSR has grown in the last five years. Research on health and financial services has been focused. We identified emerging themes such as hospitality, sustainability, and discrimination. Most studies used a qualitative approach. Theoretical/methodological contributions: The findings identified the primary services investigated in the research, thus demonstrating the services that researchers need to explore to improve the practice of transforming services. TSR is still a developing field, and this work organizes the existing literature to identify underexplored themes/services/contexts and propose a research agenda to encourage future research.

Exploring the Nexus of Teaching and Research Productivity in a Research-Intensive University among STEM Faculty

Background: Teaching-oriented and emerging universities are under growing pressure to increase research productivity, doctoral completion, and publication visibility, yet many still lack the institutional conditions required to convert scholarly aspiration into durable output. The central problem is therefore not adequately explained as low individual productivity alone, but as a failure of institutional conversion. Purpose: This article develops an evidence-informed Research Capacity Conversion Architecture (RCCA) to explain how teaching-oriented universities can build durable research capability through institutional alignment rather than isolated interventions. Methods: The study employs a critical integrative review with framework synthesis and theory-building intent. Evidence was drawn from peer-reviewed studies, conceptual scholarship, regional frameworks, and authoritative policy and programme documents published principally between January 2015 and April 2026, with selective inclusion of earlier seminal works where theoretically indispensable. The review was reported with selective adaptation of transparency principles from PRISMA 2020 and PRISMA-S appropriate to non-effect reviews. Analysis combined deductive coding across eight institutional domains with inductive thematic comparison and abductive model building. Findings: The synthesis identifies recurrent bottlenecks in research leadership, research management, supervision and mentoring, ethics and integrity, writing-to-publication support, incentive design, and institutional learning. In response, the article proposes the RCCA as an eight-domain model structured across three interacting layers: strategic foundations, developmental mechanisms, and a recursive conversion-learning loop. The analysis shows that sustainable research growth is best understood as an emergent institutional achievement produced by alignment among governance structures, scholarly practices, and evaluative feedback rather than by training intensity or metric pressure alone. Conclusion: The article contributes a theoretically specified, context-sensitive, and operationally useful framework for strengthening research capacity in teaching-oriented universities. It also provides a defensible basis for institutional reform, responsible research assessment, and future comparative implementation research in African and comparable higher education contexts.

African nations contribute <1% of global scientific output, with biodiversity research productivity constrained by political instability, limited infrastructure, and restricted access. An often-overlooked barrier is low salaries, which limit the feasibility of fieldwork for local researchers. Using publication data from the Scopus database, we explored the relationship between salary disparities among locally affiliated and non-African-affiliated researchers (i.e., foreign researchers) and biodiversity research output in Africa. We then used generalized linear models to test whether these disparities predicted national publication output and the proportion of foreign-affiliated studies. We found that salary disparities between locally based and foreign researchers were inversely correlated with national research productivity and positively correlated with the proportion of foreign-affiliated publications. Local researchers face major financial barriers to conducting fieldwork and are often unable to cover basic costs without external funding, whereas foreign researchers may still retain sufficient disposable income to self-finance high-quality fieldwork even after accounting for travel expenses. These disparities perpetuate reliance on foreign institutions, constrain local research capacity, and limit Africa's ability to address its unique conservation challenges. Addressing salary inequality is essential to strengthen local research capacity and ensure more equitable contributions to global biodiversity science, especially given the rapid global decline of biodiversity.

A bidirectional relationship between periodontal disease (PD) and rheumatoid arthritis (RA) has been widely investigated, highlighting the potential impact of oral diseases on systemic health. This bibliometric and altmetric analysis aimed to evaluate the 100 most-cited articles exploring the association between PD and RA. A bibliometric review was conducted in accordance with the BIBLIO guidelines. The Scopus database was searched to identify the 100 most-cited articles, and citation counts were cross-validated in the Web of Science database. Data collected included publication year, citation counts, journals, authors, institutions, countries, study design, and collaboration patterns. Bibliometric networks were visualized using VOSviewer, altmetric data were obtained from the Dimensions platform, and public interest trends were analyzed using Google Trends. The selected articles accumulated 14,753 citations (mean: 147.5 citations per article). Scientific output increased in the 1990s, peaked between 2005 and 2015, and declined thereafter. Research production was concentrated in high-income countries, particularly the United States, the United Kingdom, and Australia, and the resulting articles were published in high-impact journals. The literature primarily focused on molecular mechanisms and biomarkers, whereas clinical trials were comparatively scarce. Altmetric scores demonstrated a weak but statistically significant (p=0.001) positive correlation with citation counts. This research field is well established and interdisciplinary, whose academic influence and public relevance are well documented. Nevertheless, limited geographic diversity and a relative paucity of interventional studies remain. Future multicenter and translational investigations are warranted to address these gaps and further advance clinical understanding.

Community-based health literacy has emerged as a critical determinant of public health outcomes, particularly amid global health crises and the rapid evolution of the digital information landscape. Despite a growing body of literature, the intellectual structure, thematic evolution, and patterns of scientific collaboration in this field remain insufficiently systematized. This study aims to analyze global trends, themes, collaboration patterns, and scientific impact of community-based health literacy research from 2007 to 2026 using a bibliometric approach. This study employs a bibliometric analysis of 173 articles indexed in the Scopus database from 2007 to 2026. Articles were selected through title and abstract screening based on predefined inclusion criteria. Data analysis was conducted using Microsoft Excel for descriptive statistics, VOSviewer for mapping collaboration networks and keyword co-occurrence, and Biblioshiny for assessing publication trends and citation metrics. The findings reveal a marked acceleration in publication output after 2020, with a peak in 2025. Geographically, research production is highly concentrated in China and the United States, both of which also occupy central positions within global collaboration networks. Thematic analysis indicates a predominance of quantitative, survey-based methodologies, with the COVID-19 pandemic acting as a major driver of research activity. Temporal trends demonstrate a gradual shift from crisis-oriented studies toward digital health communication and information dissemination, although methodological approaches remain relatively unchanged. Community-based health literacy research is undergoing rapid expansion and increasing thematic diversification; however, it remains characterized by geographic concentration and limited methodological innovation. Future research should prioritize more inclusive international collaboration and the development of longitudinal and interventional study designs to enhance conceptual maturity and global applicability in this field.

Relevance. In modern conditions, the problem of ensuring sustainable socio-economic development of the regions of the Russian Federation is aggravated. One of the tools for its solution is the dynamization of scientific and innovative growth, but various possibilities of the regions in the field under consideration should be taken into account. On the one hand, the active development of science and innovation should contribute to accelerating the pace of socio-economic growth, on the other hand ‒ in regions with an insufficiently high level of economic development, the development and launch of innovative projects is not possible due to the lack of the required amount of investment. Thus, the problem arises of analyzing the interdependence of socio-economic and scientificinnovative development. The purpose of the study ‒ to assess causality between innovative and socioeconomic growth using the Granger Casuality Test, which allows processes to be assessed with time lags in mind. Objectives: identification of causal relationships between current and capital investments in research and development and the value of the gross regional product; classification of regions by types of causality; determining optimal time lags between variable changes. Methodology. The Grainger test is applied to analyze the causal relationships between the gross regional product and investments in research and development with the determination of optimal time lags, provided that the time series of the studied indicators are stationary. Results. The study made it possible to determine that for most subjects of the district, it is the current investments in research and development that act as the reason for the change in the gross regional product, in some regions there is a dependence on capital expenditures in research and development activities. Conclusions. Based on the calculation results, it can be concluded that it is impossible to identify the causes among the factors under consideration, since there is mutual autocorrelation, which indicates the presence of other parameters that affect the change in the variables under consideration. The proposed approach is universal and can be used by regional authorities in building strategies for managing the socio-economic growth of territories, taking into account the lags that ensure the maximum return on innovation in the scientific and innovation sphere.

New perspectives for better R&D performance: lessons learned from leading pharma companies.

ABSTRACT Calls to decolonize media and communication scholarship have grown louder in recent years, yet little empirical work has examined the barriers African researchers face in contributing meaningfully to this agenda. This study explores the lived experiences of 32 African media and communication scholars across the continent, using semi-structured interviews. Our thematic analysis revealed systemic constraints, including epistemic discrimination in publishing, institutional neglect, digital exclusion, and skewed global collaborations that position African scholars as peripheral contributors. The findings expose how publishing is often driven more by promotion requirements than scholarly curiosity and how visa regimes and internal gatekeeping further limit global academic engagements. The study calls for strategic shifts in institutional policies and global publishing norms to support the resilience and visibility of African scholarship. It offers both scholarly insight and practical recommendations for fostering more inclusive and equitable knowledge production in media and communication research.

Large language models (LLMs) such as OpenAI's GPT-4o are increasingly used to summarize information and report trends in available data for medical education. For integrated plastic surgery, the utility of LLMs to recommend taking a research year has not been established. We aim to establish the reliability of ChatGPT reproducibility of research year recommendations for medical students applying to integrated plastic surgery. De-identified, self-reported integrated plastics applicant profiles in publicly available Google Sheets from 2022-2025 were assembled. Inputs provided to GPT-4o (three runs per profile) included Step 2 CK (Clinical Knowledge) score, AOA designation, and research productivity. Research-year status and match outcome were withheld. The model returned a binary recommendation to pursue a research year. Reproducibility was summarized as cross-run concordance. We compared model recommendations with applicants' actual research-year decisions. Of 98 entries, 55 complete profiles were retained. Mean Step 2 CK was 258.3 (SD = 10.4). Applicants reported a mean 20.1 (SD = 19.9) research presentations, 3.84 (SD = 3.6) first-author publications, and 9.18 (SD = 6.4) total publications. Twenty-one eligible applicants (51.2%) reported AOA. Overall, 98.2% (54/55) matched. Across the three computed runs, there was a 98% concordance in recommendations. The LLM recommended a research year for 32.7% (18/55) of entries, whereas 45.5% (25/55) actually undertook one (p = 0.208). Agreement between model recommendations and applicant decisions was 41.8% (p = 0.28). ChatGPT demonstrated internal consistency, but its recommendations could not predict which students would take a research year en route to a successful residency match.

The use of Artificial Intelligence (AI) within public educational institutions creates a paradigm shift that produces elevated academic performance quality in addition to boosted research outputs. This study examines the effects of AI technology on public university productivity levels in the Kurdistan Region of Iraq, specifically analyzing the relationship between AI knowledge and estimated advantages and moral concerns affecting research performance. The study employs AI as its independent variable through three separate analysis dimensions: AI awareness and usage behaviors; perceived benefits from AI implementations; and related ethical challenges. Research productivity and research performance outcomes serve as the two components through which the dependent variable, academic productivity, is measured. The study used a structured questionnaire to collect data from 11,641 permanent academicians and staff members at public universities in the Kurdistan Region. A total of 320 questionnaires were returned, of which 314 were valid and used for the analysis. To achieve the research objectives, the researchers adopted a descriptive and analytical approach. The study provides data that can enable educational leaders to develop policies and design institutional practices for adopting AI in pursuit of scientific progress and academic sustainability. The research evaluates the relationship between AI technology usage and productivity measures, advancing the digital transformation discussion in higher education practices.

The growing influence of digital technologies has reshaped the nature of academic research, offering new opportunities for improving efficiency, accessibility, and innovation. However, within the field of Arabic and Islamic Studies in Pakistan, the adoption and effective use of digital tools remain underexplored. The limited integration of technology in religious academia often restricts students to traditional, manual research methods, which can impede productivity and quality. This study aims to evaluate the impact of digital tools and applications on the research productivity of Arabic and Islamic Studies students in Pakistan, focusing on awareness, usage patterns, institutional access, and perceived effectiveness.A descriptive quantitative research design was employed, utilizing a structured questionnaire distributed among 252 students from public and private universities. The collected data were analyzed using descriptive statistics to identify usage frequency, tool preference, and perceived outcomes. Results revealed that over 90% of respondents were aware of digital research tools, with Islam360 (88%) and Maktaba Shamela (82%) being the most widely used applications. A majority of students reported improved research quality (74%) and productivity (56%) due to the use of digital tools. Nevertheless, challenges such as inadequate training, limited institutional support, and unequal digital access persist.The study concludes that digital tools have significantly enhanced the efficiency, accuracy, and scholarly depth of Arabic and Islamic research in Pakistan. Strengthening institutional support and digital literacy programs could further advance research productivity and innovation within the discipline.