Number Of Articles Research Articles

Navigating the digital classroom: a qualitative content analysis of MOOC discourses in Indian e-newspapers

Purpose This paper aims to explore and unravel the contents portrayed in online news discourses on massive open online courses (MOOCs). Considering sociological dimensions and journalistic strategies, this study examines how online news media reflects, shapes and informs narratives about the social acceptance and use of the MOOC model of learning. Design/methodology/approach Using the Gioia methodology as the overarching framework, this study adopted a two-staged qualitative content analysis of 1,162 online news items from the websites of the top seven online English newspapers of India, published between May 2012 and September 2023. In subsequent semi-structured interviews with subject matter experts, broad themes were identified. In addition, this study integrated Van Dijk’s ideological square model with media content theories to comprehensively analyze the intricate complexities in media depictions of MOOCs. Findings While manifest content analysis revealed the emergence of 25 categories, latent content analysis unveiled six broad themes: “announcements, user stages, characteristics, benefits, changing facets, and educational inequalities,” which are associated with the MOOC model. Application of Van Dijk’s model evidenced the usage of a positive self-representation strategy by Indian online news media until mid-2020. The application of media content theories underscored the predominant usage of reframing as a journalistic strategy to maintain reader interest in MOOC-related content in online news items, emphasizing the dynamic nature of media portrayals of social phenomena such as MOOCs. Practical implications The depth of MOOC-related coverage and the increasing number of news articles discussing MOOCs in Indian online media signify a growing acceptance of this educational innovation in society. Insights from emergent themes can aid administrators and platforms to effectively design and deliver future courses. In addition, understanding these themes can guide the development of media strategies to address contextual issues such as educational inequalities arising from MOOCs. This study also focuses on the necessity of upholding journalistic ethics in content dissemination. Originality/value This study provides a comprehensive synthesis of various themes and journalistic strategies adopted by online news media over the last decade in MOOC-based narratives in India. Given the distinctive Indian context, wherein MOOCs are growing rapidly amid widening digital inequalities, this research addresses calls within information systems literature to explore this phenomenon. It pioneers the integration of communication and mass media theories to analyze the complex sociological dynamics in news discourses on MOOCs, offering a novel perspective on the intersection of media representation and educational innovation.

A Scientometric Review of Research on Intestinal Dysbiosis in Dogs (2011–2023): Trends and Insights

The aim of this study is to quantify and describe, through scientometrics, data on studies related to intestinal dysbiosis in dogs. For this purpose, articles published between 2011 and 2023 were selected using the Web of Science database. Through an active search, 137 articles were screened, of which 82 were included in this study, selected based on title and abstract evaluation. Data were collected on the number of articles published by date, number of authors, citations per author, and the countries with the highest number of publications. Data processing was conducted using R Studio software and the Bibliometrix package, ensuring greater specificity in the analyses. The results show that the year 2020 presented the highest peak of published studies, with 13 articles. It was also observed that the most cited author published 41 of the 82 selected articles, and that the United States is responsible for the largest number of publications. Through this study, it was possible to conclude that countries with greater technological resources directly impact the scientific dissemination of information on the proposed topic.

Time Matters: What Factors Affect Submission-To-Acceptance Time in the Journal of Communication?

This article analyses the possible factors that can affect the time range in two scenarios of the publication process, namely the number of days between submitting a manuscript and its acceptance (n = 42) and the number of days between submitting a research paper and it being published (n = 101) in the Journal of Communication. Regression analyses revealed that some factors significantly affect the time period between the submission and the acceptance of papers. The most important finding is that the number of articles previously published in the Journal of Communication by the most prestigious authors significantly reduces the time between submission and the “decision accepted” response.

Retrospective and Current in the Conceptual Approach to Financial and Non-financial Reporting

In a context where financial information provided by economic entities is no longer sufficient to illustrate an accurate picture of the factual situation, as well as health crises, climate change, increasing stakeholder interest in non-financial information, all these have led to the progressive development of literature especially in the field of non-financial reporting. However, the quality of financial reporting is also a topic of interest among authors, as international financial reporting standards have been adopted by a wide variety of countries, and other countries are likely to adopt such standards in the near future. The objective of the research is to investigate aspects of financial and non-financial reporting previously addressed in the literature. The current stage of the research is carried out by systematic analysis on publications indexed in the Scopus database, and the period analysed is from 2000 to 2023. The systematic literature review is conducted by following the steps defined in previous studies. Each subsequent adaptation will be explained in the paper. In order to carry out the analysis, the coding procedure is applied. The research will be conducted in a two-dimensional framework, focusing on financial and non-financial literature. The first dimension will consider the direction in which the perimeter of financial and non-financial reporting has developed in recent years. Taking also into account that interest in financial and non-financial reporting has gained more and more ground in most fields in recent years, it is expected that the results will show an increase in the number of relevant articles published in recent years in this area. The second dimension concerns factors that have led to changes in financial and non-financial reporting. In order to achieve this objective, I will carry out a detailed analysis by defining an analytical framework built on criteria previously used in other similar works, and adapted to the current sample of articles. I believe that the paper addresses a topical issue and will be of interest and relevance for future academic research on financial and non-financial reporting.

Indexing status of orthodontic research published in presumed predatory journals: a bibliometric study.

To examine the frequency and features of presumed predatory orthodontic publications. We also aimed to assess the presence of these types of publications in established scientific databases. Six electronic databases were searched to identify orthodontic articles published in 2022 in English. Equal numbers of articles from legitimate (n = 159) and suspect or predatory journals (n = 159) were considered. Data regarding journal, article and author characteristics were obtained. The indexing status of the publications in PubMed, Ovid, Embase, Web of Science, Scopus and EBSCOhost was evaluated. The total number of databases that the article was indexed in, level of evidence, origin of first author and research funding were recorded. Univariable ordinal regression analyses were performed to explore potential association between article legitimacy and indexing status. The majority of studies in predatory journals were found in non-specialized journals (79.6%). Scopus was the most porous database, indexing over half of predatory and suspect articles (56%). In Web of Science (Core collection), the distribution of articles across different indexing categories varied (SCIE; 16.4%, ESCI; 30.2%). In contrast, only 8.2% of these articles appeared in Medline. Articles in legitimate journals tended to have higher level of evidence and were indexed in more databases in comparison to predatory/suspect publications (OR=1.5; 95% CI: 1.37-1.64; p<0.01). The origin of the first author was a significant predictor for journal legitimacy (p<0.001). A high proportion of orthodontic publications appear in presumed predatory and suspect journals which are in turn often indexed in trustworthy databases. Medline was the least susceptible to predatory publications, while Web of Science and Scopus were more prone. Predatory and suspect journals are increasingly prevalent with the penetration of these journals into recognized databases. We were able to identify associated trends.

Mesenchymal Stem Cell Therapy to Reduce the Neurological Deficit of Chronic Ischemic Stroke Patients: A Systematic Review

Current ischemic and hemorrhagic stroke treatments are limited by a narrow golden period and lack of regenerative benefits, so stem cell therapy emerges as an ideal candidate for functional recovery in stroke patients. Stem cell therapy, still being studied, is expected to repair ischemic areas damaged by stroke to restore their physiological functions and reduce neurological deficits in chronic stroke patients. This study aimed to determine the therapeutic efficacy of MSCs in reducing neurological deficits in chronic ischemic stroke patients. We conducted a systematic review. We searched PubMed, Cochrane Library, Science Direct, and Springer Link from inception until December 2022 for cohort studies dealing with mesenchymal stem cell therapy for patients with ischemic stroke. The citation-searching method in this study collected 1,038 articles using the advanced searching method and 8 articles using the citation-searching method, bringing the total number of articles to 1,046. The exclusion criteria used were articles with systematic reviews and meta-analyses and articles that were not accessible in full text. Based on the results of a systematic review study conducted, the conclusion that can be drawn is that MSCs therapy has proven effective in reducing neurological deficits in chronic ischemic stroke patients in terms of the decreased NIHSS score.

A Bibliometric Analysis on Carbon Credit Disclosure Using Dimensions Database

This study is focused on carrying out a bibliometric analysis upon the literature database contained in dimensions.ai in the area of carbon credit and its disclosure. The dimensions.ai database was filtered using the query “Carbon Credit" &amp; "Disclosure" and articles published under the category of “Commerce, management, Tourism” were selected for the study. Total number of articles selected was 50. Bibliometric analysis was carried out using VOSVIEWER. The selected articles were analysed on the basis of year of publication, citations score, co-citations, and keyword occurances.

Scientometric analysis of articles of respiratory gas mixtures and their application in emergency medicine

Relevance. In humans, specific respiratory gas mixtures (RGMs) significantly maximize the effect of anesthesia and treatment of certain diseases, as well as enhance body functional reserves and exercise performance. The objective is to identify major research prospects on the RGM capacity to optimize the functional status of humans, as represented in publications by Russian investigators.Methods. In response to the RGMs query, the Scientific Electronic Library search engine generated a dataset of 513 publications by Russian investigators, published from 2006 to 2023. For further analysis of the publications, the VOSviewer 1.6.20 software was implemented for clustering of keywords with a frequency of ≥ 4 presented in ≥ 8 publications either by individual authors or co-authorship networks.Results and discussion. The average annual number of articles was (23 ± 3). The dynamics of increasing publications were revealed. The scientometric analysis of the selected publications revealed that the content was highly demanded among readers. For instance, the average citation number per paper was 3.29, with a substantial self-citation rate of 30.2 %. Journals with the largest number of publications by top scientific networks were identified. The VOSviewer analysis produced 7 keyword clusters: Cluster 1 for xenon anesthesia – 258 papers (35 %) with the total link strength of 29 %; Cluster 2 for hypoxic training – 171 papers (23.2%) with the total link strength of 22.5 %; Cluster 3 for gas composition in confined spaces – 76 papers (10.3 %) and 22 % total link strength; Cluster 4 for oxygen-helium gas mixture – 132 papers (17.9 %) with 16.4 % total link strength; Cluster 5 for the neuroprotective effects of gas mixtures – 32 papers (4.3 %) with 3.6 % total link strength; Cluster 6 for the anti-stress effect of xenon-rich inhalation therapy – 40 papers (5.4 %) with 3.6 % total link strength; Cluster 7 for low-flow anesthesia – 28 papers (3.8 %) with 3.6 % total link strength.Conclusion. Scientometric studies can enhance the data support for scientific research of advanced strategies to optimize human functional status and increasing performance at work for professionals operating in extreme occupational environments.

Nutrition, immunity, and infectious diseases in the context of climate change and health syndemic: a scoping review for North America

Abstract Climate change exacerbates global food insecurity, leading to undernutrition and immunodeficiency, which in turn increases susceptibility to infectious diseases. In this way, climate change creates a syndemic, with undernutrition, immunity, and infectious disease risk adversely interacting. This scoping review aims to map: (1) trends in research about climate change impacts on food security; and (2) the extent to which food security is connected to the immune system and infectious diseases in published climate change research in North America. Using a scoping review process, we identified studies that described food security in the context of climate change in North America. A search string was developed and used to search five electronic databases for articles without language restriction. Data on food security pillars and their relationship with infectious diseases and the immune system were extracted from relevant articles and descriptively synthesized. We identified 204 published articles that met the inclusion criteria. The number of articles linking climate change to food security in North America increased yearly, with regional differences in the number of publications, climate variables analyzed, and study methods used. At least one connection between food security and the immune system or infectious diseases was discussed in 72 articles (35.3%). Of these, eleven articles mentioned both the immune system and infectious diseases and separately described their relationship with food security. However, only eight articles linked or described the relationship between food, immune systems, and infection—for example, by describing extreme weather events that reduced food security, resulting in malnutrition causing immunosuppression, thereby increasing the likelihood of infections. This highlights a gap in research on the adverse interaction between undernutrition, the immune system, and infectious disease risk in the context of climate change. This review underscores the need to study the interconnected and cascading health outcomes of climate change.

Do Open Access Articles Have a Citation Advantage Over Toll Access Articles? A Comparative Analysis of Articles Published in the Journal of Craniofacial Surgery From 2019 to 2023 Based on Web of Science Data.

This study aimed to compare the citation rates of open access (OA), and toll access (TA) articles published in the Journal of Craniofacial Surgery between 2019 and 2023, and to examine whether OA articles received more citations. Using the Web of Science database, articles published in the Journal of Craniofacial Surgery between 2019 and 2023 were listed, excluding those with corrections or retractions. Articles were divided into 2 groups: OA and TA. The number of articles and citation counts for each group were analyzed by year. Citation rates were compared using the independent sample t test, with a p-value of <0.05 considered statistically significant. A total of 4691 articles were analyzed, of which 7.14% were OA and 92.86% were TA. Published in 2021, 2020, and 2019, OA articles had statistically significantly higher citation counts than TA articles. OA articles were found to be funded at a higher rate than TA articles. This study demonstrated that OA articles received more citations over time and were more likely to be funded. Although it is not definitively clear whether the citation advantage stems from the quality of the articles or their open-access status, the citation advantage of OA articles is striking.

RESEARCH ON THE ISSUES OF DIGITAL TRANSFORMATION: BIBLIOMETRIC ANALYSIS

Due to the capabilities offered by automation of management processes, the scope of application for information systems and technologies (IST) as a research subject is expanding exponentially, covering a wide range of related topics, fields of knowledge, and areas of activity. This expansion highlights the importance of studying the conceptual framework and trends in digital transformation. The purpose of this article is to examine the quantitative and qualitative structure of scientific publications on digitalization, key research directions, and to identify prospects for further developments in digital transformation. The article presents results of a bibliometric analysis of scientific publications on digitalization issues indexed in the SCOPUS scientometric database. The embedded analytical tools in SCOPUS were used to analyze the selected publications sample. Bibliometric indicators included: annual publication dynamics and the structure of scientific fields associated with these publications. An important part of the study is an analysis of the content of the most-cited publications in the sample. Keyword analysis revealed that the most commonly used keywords by authors are "digitalization," "transformation," and "innovation." It was found that digital transformation in scholarly work generally focuses on two areas: (1) digitalization as a product and outcome of IST application, aimed at meeting the needs of various stakeholders, and (2) digitalization as the process of IST creation. This result confirms the close link between digital transformation and innovative activities, highlighting two types of innovations: product-innovation and process-innovation. It was found that the relevance and continuous development of IST research are influenced by highly cited publications from researchers primarily affiliated with universities in developed countries. Bibliometric analysis of publications related to digital transformation has demonstrated a growing interest among researchers in this topic. Over the past decade, there has been a steady increase in the number of scientific articles dedicated to this issue, and the context in which the topic of digitalization is considered has proven to be quite diverse. Researchers from various countries are studying the impact of digitalization on the economy and social processes as a whole. Conclusions are drawn regarding the identified trends, and the potential for future research topics is summarized.

Research Situation, Hotspots, and Global Trends in Laser Treatment of Acne Scars: A Bibliometric Analysis of Related Research From 2014 to 2024.

Acne vulgaris is a chronic inflammatory skin condition, commonly resulting in acne scars. Treating acne scars remains a significant challenge in dermatology. With advancements in laser technology, its clinical use for treating acne scars has been increasing annually. However, bibliometric analysis on laser treatment for acne scars is lacking. This study aims to use bibliometrics to comprehensively understand the development trends and research hotspots in laser treatment for acne scars. Using "acne scar" and "laser" as search terms, literature on laser treatment of acne scars from 2014 to 2024 was retrieved from the Web of Science Core Collection (WoSCC) database. The literature data were visualized using VOSviewers, CiteSpace, and R software, generating maps of countries, research institutions, authors, journals, references, and keywords. The analysis included 536 articles from 46 countries, with the United States and China leading in publications. Publications focusing on laser treatment of acne scars exhibit a consistent growth trend annually. Key research institutions include Mahidol University in Thailand, Cairo University in Egypt, and Hallym University in South Korea. The "Journal of Cosmetic Dermatology" had the highest number of articles in this field, while "Dermatologic Surgery" was the most cited publication. These publications involved contributions from 2135 authors, with Professor Manuskiatti Woraphong from Mahidol University in Thailand being the most prolific author in this field. Research on the efficacy of laser treatment for acne scars is a major focus in this field. Among the different types of lasers, CO2 lasers are the most commonly used. Emerging research focuses include therapies such as platelet-rich plasma, picosecond laser, trichloroacetic acid, and burn scar. Treatment efficacy is the primary focus of research in the field of laser treatment for acne scars. Platelet-rich plasma, and novel picosecond lasers, have emerged as hot topics and trends in this research field. However, it is important to note that the impact factors of journals publishing in this field are currently low. Therefore, clinicians must consider and explore strategies for publishing high-quality clinical research in the future.

ChatGPT in Aviation Education; A Bibliometric Mapping Visualized with Vosviewer

Since being released in November 2022, ChatGPT, a popular artificial-intelligence chatbot, has gained attention in almost all industry. It has been also rapidly evolving in education due to the rise of internet-based learning. This research aims to present a bibliometric mapping of ChatGPT in aviation education using mapping analysis with VOSviewer software. The research data was obtained using the Publish or Perish reference manager and was based on the keyword “ChatGPT in Aviation Education.” A total of 998 relevant articles which were indexed between 2017 and 2023 were found. The results indicate that the number of articles on ChatGPT in aviation education has been increasing since 2017 and 898 articles were published in 2023. This research is intended to provide a reference for researchers in selecting research themes related to ChatGPT in aviation education. From six clusters found, it visualized that numerous studies have already examined the relationship between ChatGPT and study, while the relationship between ChatGPT and flight has been less frequently analyzed. The relationship of those two items could be potential theme for advanced research.

High Temperature Effects on Global Heritage Stone Resources: A Systematic Review

Throughout history, natural stone has been a crucial building material due to its strength, durability, and aesthetic qualities. Today, it continues to be a valuable resource, representing both a cultural heritage asset and a significant economic material. However, the increasing frequency of heat waves and fires driven by climate change poses a growing threat to stone building materials. This paper reviews the scientific attention given to the effects of high temperatures on Global Heritage Stone Resources (GHSRs), an international classification designed to enhance the recognition and status of building stones. Through a systematic SCOPUS search with refined filtering criteria, the study aims to quantify the existing research on these heritage stones. The search applied the standardized lithotype terms from GHSR publications to ensure consistency, followed by the exclusion of irrelevant terms when identified. Additionally, a relevance filter was applied to restrict the number of articles per lithotype and ensure that only the most pertinent studies were considered. Key findings from the literature reveal that exposure to high temperatures (ranging from 200 °C to 900 °C) significantly affected the studied GHSRs, leading to thermal micro-fissuring, increased porosity, and changes in water absorption, which compromise the mechanical properties of the stones. Moreover, these conditions can result in irreversible chemical transformations, exacerbating the deterioration of cultural heritage assets. The study emphasizes the critical need for research to better understand how these stone materials behave when exposed to high temperatures. It also provides a relevant framework for future investigations aimed at predicting and mitigating the effects of external threats such as fires.

Machine Learning: A survey of requirements prioritization: A Review Study

In any software systems, the requirements prioritization considered as pivotal task. This paper aims to explain and discuss the works done on requirements prioritization based Machine learning along with the dependency-aware requirements prioritization. Machine learning has become of attention to scientists, researchers, and users because of the existence of vast data and deep learning algorithms that can analyze massive sets of data. The basic algorithms are used for dependency learning calculation, resolve the stakeholder’s conflicts, classify requirements, and scalability improvement. This paper will present a brief background and comprehensive presentation of a number of machine learning techniques for requirements prioritization and those concerning the requirement dependency in its simple, complex, and Hybrid form. There are a number of papers, articles, and research papers that deal with requirements prioritization, few of them handling the dependency. This paper will present a brief background for several requirements prioritization based on machine learning. then make a comparison and discussion of a number of selected techniques in terms of algorithm type, issues addressed, and evaluated data level. method that handling the dependency regarding of strengths and weakness.

Research progress of wearable devices in textile field: a bibliometric analysis using VOSviewer, RStudio bibliometrix and CiteSpace software tools

PurposeThe purpose of this paper is to analyze research trends on “Wearable devices in textile filed” from 2010 to 2023 and determine the important keywords, nations and journals associated with this topic.Design/methodology/approachUtilizing journal literature on wearable devices from the 2010 to 2023 Web of Science (WoS) database, this study employs VOSviewer, biblioshiny of the R software package and the specialized software CiteSpace to generate knowledge graphs for measuring retrieval outcomes.FindingsThe research on wearable devices integrated into textiles between 2010 and 2023 can be divided into three stages: initial slow progress, subsequent rapid advancement and final slow progress, indicating a general rise in the quantity of published material. The terms “fabrication,” “wearable electronics” and “design” are closely linked in this field. China is the most globally networked country in this field, according to the World Collaboration Map. NANO ENERGY ranked first in the number of articles published in journals, with 18 articles and 1,151 citations.Originality/valueThe study identified the present state and research trends in the field of “Wearable devices in textile filed,” offering valuable information for researchers to enhance their understanding of the field’s progress.

Diagnosis and treatment of patients with gastroesophageal reflux disease - a systematic review of cost-effectiveness and economic burden.

This study aims to review the existing knowledge on the cost-effectiveness and item costs related to the diagnosis and treatment of gastroesophageal reflux disease (GERD) patients at different stages. The study adhered to the PRISMA guidelines. The systematic search involved several steps: finding and identifying relevant articles, filtering them according to the set criteria, and examining the final number of selected articles to obtain the primary information. The number of articles published between 2013 and September 2024 in the Web of Science and PubMed databases was considered. The CHEERS checklist was used for the risk of bias assessment. Ultimately, 36 studies were included. Regarding the cost-effectiveness of GERD treatment, Proton pump inhibitors (PPIs) appeared to be the dominant solution for non-refractory patients. However, this might change with the adoption of the novel drug vonoprazan, which is more effective and cheaper. With advancements in emerging technologies, new diagnostic and screening approaches such as Endosheath, Cytosponge, and combined multichannel intraluminal impedance and pH monitoring catheters should be considered, with potential implications for optimal GERD management strategies. The new diagnostic methods are reliable, safe, and more comfortable than standard procedures. PPIs are commonly used as the first line of treatment for GERD. Surgery, such as magnetic sphincter augmentation or laparoscopic fundoplication, is only recommended for patients with treatment-resistant GERD or severe symptoms. Advances in emerging technologies for diagnostics and screening may lead to a shift in the entire GERD treatment model, offering less invasive options and potentially improving patients' quality of life.

Knowledge domain and trends in treatment-resistant schizophrenia (TRS) research based on CiteSpace bibliometrics analysis

BackgroundAlthough the number of studies on treatment-resistant schizophrenia (TRS) has been increasing, the global research hotspots and future research trends have not yet been established.ObjectiveThis study identify the hotspots of TRS research and predict future research trends using a bibliometric analysis.MethodsThe Web of Science Core Collection was searched using the keyword “TRS”, econometric and co-occurrence analyses were conducted using CiteSpace and VOSviewer software, and the results were visualised. PRISMA reporting guidelines were used for this study.ResultsIn total, 912 publications were included in the analysis. The number of publications on TRS has shown an increasing trend over the past 20 years. The United States and University of London were the countries and institutions with the highest total number of publications, respectively. Schizophrenia Research was the journal with the highest number of articles. American Journal of Psychiatry was the most cited journal. Based on the results of this analysis, cognitive impairment, clozapine-resistant schizophrenia, early-onset schizophrenia, and early recognition of TRS will be hotspots for future research in this field.ConclusionThere has been an upward trend in the number of publications on TRS each year. However, issues such as how to use antipsychotics more efficiently to treat TRS and how to predict the emergence of TRS as early as possible are still in urgent need of research and are current challenges for clinicians. The results of this study not only predict and analyse future research hotspots but also help researchers identify appropriate research directions and partners.

The impact of exposure to green or bluespace on dietary intake and food choices among adults—A systematic literature review

AbstractExtensive research has shown that spending time in natural greenspaces has a positive impact on health. However, there is limited evidence regarding potential factors that may influence these effects. This review aimed to assess the strength of the evidence and potential impact of exposure to green and bluespaces on dietary outcomes in adults. Inclusion criteria for the review were based on the PICO criteria. Following PRISMA guidelines, an initial search of five databases was conducted: CINAHL, GreenFILE, AMED, Medline, and PubMed, accessed on 14th June 2021 and augmented by an updated rerun in January 2024. All studies used the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Analytical Cross‐Sectional Studies for quality assessment. Due to heterogeneity, a narrative synthesis was conducted to evaluate the relationships between the included studies. Four observational studies that reported diet‐related outcomes were included in the review, and participants within the studies ranged from 554 to &gt;350,000 participants. Other health outcomes, including physical activity and obesity, were also reported. Two studies found that dietary patterns were not correlated with exposure to greenspace. Due to the small number of articles retrieved and the paucity of evidence, the findings must be interpreted cautiously. In conclusion, further research is essential to clarify the intricate mechanisms involved in greenspace‐related health benefits. Additionally, investigating the specific greenspace attributes influencing adult dietary intake and food choices is warranted. When devising public health interventions, it is crucial to account for the substantial health advantages associated with various socioeconomic groups.

Artificial intelligence in clinical practice: Quality and evidence

A revolution is taking place within the field of artificial intelligence (AI) with the emergence of generative AI. Although we are in an early phase at the clinical level, there is an exponential increase in the number of scientific articles that use AI (discriminative and generative) in their methodology. According to the current situation, we may be in an "AI bubble" stage; requiring filters and tools to evaluate its application, based on the quality and evidence provided. In this sense, initiatives have been developed to determine standards and guidelines for the use of discriminative AI (CONSORT AI, STARD AI and others), and more recently for generative AI (the CHART collaborative). As a new technology, AI requires scientific regulation to guarantee the efficacy and safety of its applications, while maintaining the quality of care; an evidence-based AI (IABE).