Meeting the recommendation of 60 minutes of daily physical activity for children and adolescents yields significant health benefits. In Latin-merican and the Caribbean, 39.1% of the population does not meet physical activity guidelines; specifically, 34.3% of males and 43.7% of females fall below the recommended levels. This study aims to identify school-based physical activity interventions aligned with the socioecological model that involve parents in Latina merican contexts. A systematic search was conducted across four databases-PubMed, Web of Science (WOS), Scopus, and ScienceDirect-for articles published between January 2014 and April 2024. A total of 198 studies were identified (78 from PubMed, 22 from WOS, 31 from Scopus, and 67 from ScienceDirect). After removing 20 duplicates, 167 articles were excluded based on title and abstract screening. One study was excluded. It focused on sedentary behavior, and another aspect was its consideration of dietary habits, resulting in a final inclusion of 9 studies. The included studies were published between 2014-2024, with intervention durations ranging from 10 weeks to 28 months and sample sizes from 50 to 3,592 participants. The studies were conducted in Ecuador, Colombia, Mexico, and Brazil. Interventions adopted both individual and environmental approaches, targeting outcomes such as physical activity, sedentary behavior, screen time, health education, nutrition, and alcohol and tobacco use. The reviewed intervention demonstrated positive effects on increasing physical activity and reducing sedentary behaviors. Family members, peers, friends, and teachers emerged as key sources of support for promoting health-enhancing behaviors, consistent with an ecological framework for health promotion.

Food-derived biostimulants support sustainable agriculture; however, the scale and heterogeneity of the field hinder their synthesis. We profiled 2005–2025 innovation by mining 2,586 PATENTSCOPE filings and Web of Science articles; texts were analyzed with KH Coder and topic models, with large language models assisting in interpretation. Patent activity surged after 2018, emphasizing plant growth promotion, yield stability, and abiotic stress tolerance (amino acids, seaweed extracts, polyphenols, humic substances, and microbial consortia). In parallel, academic papers have shifted from descriptive trials to mechanism-level work on drought/salinity responses, gene expression, and metabolomics. Together, these signals outline a translation path in which deployable biological inputs converge with mechanistic evidence. Our NLP pipeline distilled heterogeneous texts into actionable indicators, yielding a reproducible map from patent/literature trends to testable hypotheses for formulation, dose, and seed stage delivery.

Work life quality among healthcare personnel is a critical determinant of both professional well-being and the effectiveness of health services. This review aimed to analyze strategies reported in the literature between 2020 and 2025 that address the improvement of healthcare workers’ quality of work life. A structured search was conducted in PubMed, Scopus, Web of Science, and Scielo, including original and review articles in Spanish and English. Findings revealed that the most effective interventions fall into five main dimensions: economic and contractual conditions, organizational climate, motivation and recognition, psychosocial support, and professional development. In high-income countries, flexible work policies, work-life balance, and participatory leadership have shown significant impact. In contrast, Latin American settings face persistent challenges such as job instability, excessive workload, and limited resources. In Peru, successful initiatives have been related to resilience programs, self-care practices, and continuous training. It is concluded that improving the quality of work life requires integrated and context-specific strategies. Incorporating this approach into health management is essential to enhance workforce retention, reduce burnout, and ultimately improve patient care outcomes.

Hypertension is one of the most prevalent non-communicable diseases in modern society. Despite the issue having existed for years, no long-term interventions have been proven to completely curb it. This scoping review aims at examining the risk factors that influence the high prevalence of hypertension in low- and middle-income countries (LMICs). A systematic approach to literature collection is employed through a broad search strategy. The search utilised the following databases: PubMed, Google Scholar, DoPHER and TRoPHI. These databases were chosen because they provide the largest health science article collections, especially in public health, medicine and intervention research in LMICs. The initial search yielded 1 267 articles. However, through rigorous analysis and application of the exclusion criteria, only 30 articles were found to meet the inclusion criteria and thus used for the research analysis. The data analysis used the Arksey and O’Malley’s (2005) framework. The results indicate that most people in LMICs have limited resources to enable quality and affordable access to health facilities. The government and relevant health departments have not invested significantly in ensuring the availability of health facilities and amenities. Another factor identified are lifestyle factors, as people in these countries have a high intake of unhealthy processed and fast foods. Most of the population is always trying to gain enough income to meet their basic needs and thus lack enough time to engage in physical exercise. However, the prevalence is also affected by regional levels, rationalising the need for specific interventions to address the prevailing issues. The research concludes with a recommendation for developing significant interventions and more regionally specific research, as root causes differ from country to country. There is also need to have more specific research that seeks to identify the relationship between cultural practices and hypertension prevalence.

Abstract British people's relationships with birds changed at the turn of the 20th century. Killing birds for food, feathers, collections and sports started to give way to seeing birds as creatures that deserved the right to live their own lives in nature. Studying the historical campaign against using birds in fashion offers insights into present discussions on the value of nature and how to leverage values for broader sustainability transformation. The wearing of bird feathers by women was debated in the media, on the streets, in shopping environments and on many other occasions. The campaign against feather fashions was instrumental in creating the (Royal) Society for the Protection of Birds [(R)SPB] and an important issue for other conservation organisations. This study is based on an analysis of around 200 leaflets, reports, academic and popular science articles, letters and other documents, mostly associated with the (R)SPB, covering three decades from 1889 to 1921. The (R)SPB campaign and the broader debate on feather fashions exemplify early attempts to shape people's relationship with birds. The campaign focused on moving from the consumptive use of birds towards the appreciation of the birds' rights to live in the wild and for people to develop meaningful relationships with them. It emphasised relational values on top of intrinsic and instrumental ones. The campaign illustrates how clashing values led to a broader transformative change. It involved working with worldviews, in particular, reinterpreting the Christian foundation as a sense of responsibility for other God's creatures and avoiding cruelty and harm to them. It also involved other strategies for transformative change, notably arguing for a systemic change in the sector specifically responsible for bird loss and promoting the legal protection of nature. It featured arguments that were used in many other campaigns for nature conservation, most notably those recently framed as relational values. Policy implications . This case study shows that conservation is not a linear story of continuous improvement or refinement of ideas but rather a cyclical one, with the same arguments reappearing in new contexts, fitting into the broader system of socio‐economic priorities. Read the free Plain Language Summary for this article on the Journal blog.

From concept to clinical practice-Unraveling the adoption of regenerative peripheral nerve interface (RPNI) surgery.

In a non-peer-reviewed arXiv preprint Laura Luebbert and Lior Pachter made numerous criticisms of the work of Mandyam Srinivasan and colleagues, suggesting that there was evidence of data duplication and data manipulation in their work. These imputations were amplified in a news article and blog post in the journal Science and then made news in the mainstream media in several countries. This media activity took place before journals and institutions had the chance to conduct formal investigations that would have allowed Srinivasan and his colleagues a fair hearing, with input from independent experts. In addition, there was no time for the scientific community to evaluate Luebbert and Pachter's work. In particular, they made some very critical comments based on statistical simulations, where they claimed that R2 values reported by Srinivasan and colleagues in six papers were "ridiculously high". In this commentary, I show that their inability to reproduce high R2 values was due to major flaws in their simulation models. Luebbert and Pachter have never responded in detail to my criticisms, instead relying on the logical fallacies of argument from authority and ad hominem attacks.

This scientometric study maps the research hotspots and emerging trends in sports economics research through a comprehensive analysis of 6553 Web of Science articles (2005–2025) using advanced bibliometric tools of CiteSpace and VOSviewer. In contrast to narrative reviews, this study combines co-citation clustering, keyword burst detection, and multi-level collaboration network analyses to reveal the field's evolution. Results indicate sustained growth in annual publications, dominated by the U.S. and China, with pivotal contributions from institutions such as the German Sport University Cologne and leading authors including Wicker and Humphreys, who have been instrumental in shaping global collaborative networks. Co-citation analysis identifies seven key research hotspots: regional economic effects of sports tourism, public policy efficacy, brand commercialization, socioeconomic contributions, digital innovation, sustainable development, and globalization. Four emerging trends are highlighted via keyword burst detection: gender pay gaps, media's economic role in brand value, public health linkages, and satisfaction dynamics. This study provides a data-driven framework for optimizing event-driven growth, addressing inequities, and leveraging innovations for socioeconomic resilience.

There has been a recent debate about the meaning and value of the term “neoclassical economics.” Thorstein Veblen coined the term in 1900. Tony Lawson examined Veblen’s meaning, and others have joined the debate. Herein, Lawson’s interpretation of Veblen is not contested. Bibliometric searches reported here of articles in economics, sociology, and political science found no further appearance of neoclassical economics until 1913. A different meaning then emerged. Among both adherents and critics, the word evolved to refer to the school of economics dominated by Marshall, based on core notions of equilibrium and utility maximisation. It was also linked to Walrasian general equilibrium theory. The term was popularised by Kenneth Arrow, Paul Samuelson, and other advocates. It also became associated with aggregate production functions and was used in the Cambridge capital controversies. Although usage of the term has declined in prominent journals since the 1990s, some core concepts related to the term have persisted.

<p>Besides being a buzzword, machine learning finds new areas of application in organizational decision-making processes by the day. We map the field's intellectual structure, thematic evolution, and application domains through a bibliometric analysis of 1,803 Web of Science and Scopus articles (1990-2024) to elucidate its strategic and operational roles. Six clusters, spanning risk modeling, predictive analytics, strategic intelligence, and human-centered AI, are revealed by co-authorship, keyword co-occurrence, and bibliographic coupling. The findings reveal a fragmented but methodologically diverse landscape, with algorithm adoption differing by decision type and industry. By connecting machine learning methods (like deep learning, natural language processing, and explainable AI) with decision functions (like forecasting, optimization, and classification), we can identify the situations in which machine learning has the biggest influence. We go beyond descriptive enumeration with our integration of conceptual and practical insights.</p>

Introduction: Scientific peer-reviewed journals are crucial for disseminating scholarly information. Bibliometrics, the application of statistical methods to analyze academic literature, offers a quantitative approach to evaluate research output, assess quality, and examine patterns in publication, authorship, and thematic trends. This study employed bibliometric analysis to comprehensively examine the landscape of Dance Medicine and Science (DMS) research, including its quality, demographic characteristics, and thematic evolution. This study aimed to fill this gap by analyzing the dissemination of DMS research output between 2007 and 2024 using bibliometric indicators. We sought to answer key questions about the field's annual scientific production, publication venues, journal comparisons, geographical distribution of authors, cross-institutional and international collaborations, gender parity in authorship, and thematic trends in current DMS research. Methods: Using the Core Collection of Clarivate Analytics' Web of Science©, we filtered articles using dance-related search terms: "dance," "science," "medicine," and "education." From this search, we extracted 2750 peer-reviewed articles to construct our analyses. We utilized visualization of similarity (VOS) software as well as descriptive statistics to tabularize, visualize, and explore bibliometric maps of science and medical articles related to dance. Results: The Journal of Dance Medicine & Science (JDMS) led in quantity of publications with over 304 articles in the seventeen-year period. Most DMS research is produced by authors in North America, Europe, and Australia, primarily examining Western dance styles. We observed a higher proportion of feminine names among first authors in DMS research, though further analysis is needed to understand overall gender distribution across all author positions. The field showed an annual growth rate average of 11.04% in publications. Our network analysis revealed distinct clusters of research themes, highlighting the multidisciplinary nature of DMS. Conclusions: Our analysis revealed significant growth in DMS research over the studied period. The Journal of Dance Medicine & Science emerged as the leading publication venue. Geographically, we found a concentration of research output from North America, Europe, and Australia, highlighting potential areas for expanding international collaboration. Gender distribution among authors was nearly balanced, with a slight majority of female first authors. Thematic analysis identified three primary research clusters: injury prevention, performance enhancement, and dance education, providing insight into the field's current focus areas. These findings offer a comprehensive overview of the DMS field, illustrating its evolution, key contributors, and emerging research themes, while also identifying areas for future development and collaboration.

ObjectiveHealth science popularization is an important means to improve public health literacy, promote healthy lifestyles, prevent diseases and respond to health crises, which is of great significance for improving the overall health of the people. Strengthening the medication education of patients is also one of the key factors to improve patients’ medication adherence. In order to strengthen the dissemination of pharmaceutical popular science articles and give full play to the value of pharmaceutical popular science, this study takes WeChat public account as the research platform to explore effective strategies to improve pageviews of science popularization. It provides references for science popularization workers, so that science popularization can play a better role in improving the public’s knowledge of medication safety.MethodsTaking the well-known pharmaceutical science popularization WeChat account “PSM Medicine Shield Public Welfare” as an example, we combined the Term Frequency-Inverse Document Frequency (TF-IDF) algorithm and VOSviewer visualization analysis technology to construct a hot topic analysis model for pharmaceutical science popularization articles, and analyzed the common rules and characteristics of successful hot articles. Latent Dirichlet Allocation (LDA) and The Bidirectional Encoder Representations from Transformers Topic (BERTopic) model were used to realize the construction of the topic model.ResultsThe model selected the top 20% of popularization articles with the greatest reading volume between 2015 and 2023 as the database for text mining. The clustering results indicated that the public was interested in these five types of pharmaceutical science popularization themes: drug dosage, drug side effects, children’s infections, the efficacy of traditional Chinese medicine and Chinese patent medicines, and the usage methods of different drug administration routes. The public’s interest in topics changed from drug side effects to practical drug usage issues, as seen by the keyword time series graph.ConclusionPharmaceutical professionals may more effectively discover hot themes in the industry by combining the TF-IDF algorithm with VOSviewer visualization analysis and LDA and BERTopic in the text mining. This improves the readability of popularization articles and the impact of WeChat accounts, which may improve medication adherence and raise public awareness of medication usage.

Microcosms, or miniature experimental systems, have been used to develop models and theories in ecology. However, their contribution to conservation science is unclear. We explored the application, design, and impact of microcosms in conservation science from 469 systematically identified articles published from 1986 to 2023. We used generalized linear modeling to compare cumulative citations over time for each microcosm article with those of 71,738 nonmicrocosm articles in conservation science. We also surveyed the proportion of microcosm articles and nonmicrocosm articles focused on conservation science that were cited in policy documents. Two types of microcosms were used in conservation research: generalized microcosms (i.e., simplified analogies of systems used to test general theories and mathematical models) and specialized microcosms (i.e., recreations of specific ecosystems or species assemblages that test specific hypotheses). Microcosms were used to study biodiversity, invasive species, extinction, pollution, and climate change and were applied to a broad array of ecosystems and species. Microcosm experiments tended to be small (systems were liters in size or smaller) and conducted over short periods (weeks or months); could monitor study species for up to hundreds of generations; and had high sample replication. On average, microcosm studies were cited up to twice as often as nonmicrocosm studies 25years after publication. Microcosm articles and nonmicrocosm articles focused on conservation science were cited in policy documents at similar rates to each other. We recommend that conservation science, which often focuses on urgent topics and rare or threatened ecosystems and species, may benefit from the manipulability and replicability that microcosms offer. Microcosm experiments may also be low risk for the study systems involved. Future uses of microcosms include providing experimental evidence and testing of conservation theories, models, and hypotheses.

Online child sexual abuse (CSA) crimes have increased significantly in recent years, reflecting broader access to the internet and the global proliferation of CSA content. In response, national police forces have established specialized investigative teams. Notably, repeated exposure to CSA material has been identified as a significant stressor for police personnel, potentially increasing the risk of secondary traumatic stress and burnout. Therefore, understanding and addressing the impact of continuous CSA exposure on personnel's wellbeing is essential within this area of digital policing. This scoping review aims to synthesize and report the existing empirical research on the wellbeing of police personnel involved in online CSA investigations. Following established guidelines, we searched four electronic databases-Scopus, Web of Science (Clarivate), PsycINFO, and SocIndex-for articles published between 2000 and 2024. We also conducted reference mining of the included studies. In total, 33 articles met the inclusion criteria: empirical studies published in English, in peer-reviewed journals, and focused on the wellbeing of personnel investigating online CSA. Findings reveal substantial variation in reported wellbeing. Individual coping strategies, as well as organizational resources and support, play a critical role in how personnel manage the demands of this work. Based on these insights, we recommend that online CSA police units implement clear and proactive strategies to safeguard personnel's wellbeing.

Hypertrophic scars (HS) are the result of abnormal tissue repair after dermal tissue trauma. Their histological characteristics are fibroblast proliferation and excessive deposition of extracellular matrix. This study aimed to identify the role of autologous fat granule (AFG) combined with platelet-rich plasma (PRP) in HS formation and its possible mechanism through in vivo experiments. A rat wound healing HS model was established, and AFG and PRP alone or in combination treated HS model rats. After 8weeks of intervention, HS tissues were collected for HE staining, VG staining, immunohistochemistry, ELISA and Western blot analysis. AFG treatment could significantly inhibit angiogenesis and hypertrophic scar proliferation in HS tissue, and reduce collagen fiber content and inflammatory cell infiltration, and the above changes were more significant when combined with PRP treatment, indicating that AFG combined with PRP treatment had a better therapeutic effect in HS animal model. In addition, AFG treatment can significantly reduce the expression of TGFBRI and Smad3 proteins in HS tissues, and compared with AFG alone, AFG combined with PRP treatment can further reduce the expression of TGFBRI and Smad3 proteins in HS tissues. AFG combined with PRP can reduce inflammatory cell infiltration and collagen fiber content in HS tissue, and inhibit angiogenesis and scar proliferation, which may be related to inhibiting the activation of TGF-β/Smad signaling pathway. Our study provides a reference for the clinical treatment of HS. No level of evidence is needed for Basic Science, Animal Study, and Experimental Study Articles. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Generative AI as the New Frontier in Science Education: A Systematic Review of Web of Science Articles

Purpose This study examined whether the number and disciplinary sources of citations received by the relatively small number of review articles in library and information science (LIS) can be used to identify influential topics within the field. To address this aim, the interdisciplinary influence of LIS review articles was analyzed by topic. Design/methodology/approach A total of 448 LIS review articles published between 2000 and 2019 were analyzed by topic. Additionally, 12,346 journal documents citing these review articles (until 2021) were collected to assess their disciplinary sources. Findings Of the 14 identified LIS topics, those related to information science had a stronger influence than did library science topics. Informetrics emerged as the most influential topic, with its impact found to increase over time. LIS review articles were found to influence disciplines in the natural sciences, social sciences, and humanities, particularly computer science, medicine, and business. The results regarding the most impactful topics aligned with previous findings obtained by examining LIS research articles. The topics of review articles and the domains in which these review articles are cited served as valuable indicators for tracking influential LIS topics and their interdisciplinary reach. Originality/value This study offers novel insights into the role of review articles in identifying influential LIS research topics and determining the broader academic influence of such review articles.

The structure of a scientific article is crucial for clearly conveying research findings. Modern scientific publications combine text with various elements—such as tables, graphs, images, diagrams, and maps—that support the narrative and aid data interpretation. Understanding how these components influence a publication’s reception and scientific impact is essential. This study analyzes differences among 15 soil science journals (indexed in the Web of Science) in terms of visual elements, tables, number of authors, and article length. The journals had a 5-year Impact Factor (2023) ranging from 0.9 (Soil and Environment) to 10.4 (Soil Biology and Biochemistry). The Kruskal–Wallis test and Bonferroni-adjusted Dunn’s post hoc tests revealed statistically significant differences across all variables (p < 0.05). The relationships were further assessed using Pearson’s correlation, based on the median number of authors and article length, as well as the percentage of articles that include at least one element of a given type (e.g., table, graph, image, diagram, or map). Key findings show that journals with a higher impact factor tend to publish articles with more authors (r = 0.62, p = 0.014), use diagrams more frequently (r = 0.69, p = 0.004), and include fewer tables (r = –0.85, p < 0.001). These results suggest that journals with a higher 5-year IF tend to include articles with a greater number of authors and a higher frequency of diagram use, while relying less on tables.

Alopecia resulting from cosmetic injections is a rare occurrence, yet its increasing prevalence highlights the need for understanding and managing this condition. This review seeks to clarify the known causes of alopecia following cosmetic procedures and the mechanisms involved. It also highlights the risk and draws attention to the growing number of reports linking cosmetic injections to post-procedure alopecia. A search was conducted on PubMed, Web of Science, and Embase, and relevant articles published from January 2000 to November 2024 were selected based on predefined criteria. Twenty-five articles were identified, involving 48 patients who experienced alopecia due to cosmetic injection procedures. Data collected included filler type, injection site, site of complication, onset of alopecia, associated symptoms, auxiliary examinations, proposed mechanisms of alopecia, treatment modalities, and outcomes. Alopecia following cosmetic injection procedures is an underreported adverse effect. Physicians should be vigilant about this potential complication, recognize its manifestations, and have appropriate prevention and treatment strategies readily available. The journal asks authors to assign a level of evidence to each article. For a complete description of Evidence-Based Medicine ratings, see the Table of Contents or the online Instructions for Authors at www.springer.com/00266 .

Abstract Background Several new cancer drugs have been developed in the last years. The cardiovascular (CV) safety of most oncological therapies is not assessed in phase 3 randomized controlled trials (RCTs), but it can be promptly studied as treatments become available in clinical practice. Conversely, pre-clinical cardio-oncology research may not easily adapt to the evolving landscape of oncological pharmacotherapy. Methods We systematically searched Pubmed for basic science (i.e., cellular and animal) articles on cancer treatment-related CV toxicity (CTR-CVT) published from 2021 to 2024. In parallel, ClinicalTrials.gov was queried for phase 3 RCTs conducted in patients with solid or hematological tumors during the same period. Cancer therapies were grouped in established classes, and the proportion of studies focusing on different treatment modalities was compared between the two datasets by chi-square test. Results Of 494 pre-clinical articles identified from 2021 to 2024, 75 were excluded being reviews or meta-analyses. Among the remaining 419 articles, 359 (84.7%) focused on anthracyclines (91.1% evaluated doxorubicin), 17 (4.0%) addressed tyrosine kinase inhibitors (TKI), 10 (2.4%) HER2 inhibitors, 9 (2.1%) alkylating agents, and <1% other cancer therapies (Figure, panel A). In contrast, 165 (24.1%) of 414 phase 3 RCTs assessed immune checkpoint inhibitors (ICI), 106 (15.5%) TKI, and 95 (13.9%) alkylating agents (Figure, panel B). Notably, only 9 (1.3%) RCTs tested therapeutic strategies including anthracyclines. The proportion of pre-clinical studies about anthracyclines, TKI, alkylating agents, and ICI was significantly different than the one of RCTs (P <0.0001 for all), while HER2 inhibitors were investigated with similar frequency (P = 0.24). Information about CTR-CVT was provided only for 25 (6.0%) RCTs. Conclusions This analysis highlights a significant mismatch between the object of most pre-clinical cardio-oncology research and the cancer treatments that are currently being evaluated in contemporary RCTs. In particular, compared with current clinical oncology studies, pre-clinical cardio-oncology research disproportionately emphasizes anthracyclines. The disconnect between pre-clinical cardio-oncology and clinical oncology research is magnified by the frequent omission of data about CTR-CVT in the reports of RCTs. Bridging this gap is critical to advance the translational impact of basic cardio-oncology research.