How are you contributing to SDGs and measuring sustainable improvements? AI solutions can help you to quantify it. This pilot experience shows the case of the university's scientific contributions.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11129346 | PMC |
http://dx.doi.org/10.1021/acssusresmgt.4c00074 | DOI Listing |
Endocr Metab Immune Disord Drug Targets
January 2025
Department of Rheumatology and Immunology, The First Affiliated Hospital of Army Medical University, Chongqing, China.
Background: Diabetes and osteoporosis, as chronic diseases with high incidence, have caused deep concern in the field of global public health due to their high morbidity and mortality. More importantly, the complex and close relationship between diabetes and osteoporosis has gradually become the focus of scientific research. It is very meaningful to carry out bibliometric analysis in the research field of diabetes and osteoporosis to describe the current international trend and present a visual representation of the past and emerging trends of diabetes and osteoporosis in the past decade.
View Article and Find Full Text PDFIntroduction: Visual Inspection with Acetic Acid (VIA) has been adopted for cervical cancer screening in Kenya and other Low-Middle Income Countries despite providing suboptimal results among HIV-infected women. It is mostly performed by nurses in health centers. Innovative ways of improving the performance of VIA in HIV-infected women are desired.
View Article and Find Full Text PDFHeliyon
January 2025
Writing Lab, Institute for the Future of Education, Tecnologico de Monterrey, Monterrey, Mexico.
This study analyzes the self-mention forms represented by first-person pronouns (I, me, my, we, us, and our), self-citations, and other forms of mentions made by the same author(s) in each article (e.g., this writer, the author, the authors, the research team) in a corpus of academic articles (625,195 words) in Design area disciplines to determine the similarities and differences in self-mention practices within these disciplines and the previous findings reported in the literature of authorial self-representation observed in hard and soft fields.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Laboratorio de Inmunofarmacología, Instituto Nacional de Enfermedades Respiratorias, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080, Mexico, México.
Background: The field of health sciences is constantly evolving, presenting significant challenges to student learning performance. Therefore, it is crucial to identify the factors influencing students' learning style preferences, as these relate to how they acquire, understand, interpret, organize, and process information from their courses. In this study, we evaluated whether there is a relationship between students' learning style preferences and their learning gains.
View Article and Find Full Text PDFBr J Ophthalmol
January 2025
Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
Background/aims: Large language models (LLMs) have substantial potential to enhance the efficiency of academic research. The accuracy and performance of LLMs in a systematic review, a core part of evidence building, has yet to be studied in detail.
Methods: We introduced two LLM-based approaches of systematic review: an LLM-enabled fully automated approach (LLM-FA) utilising three different GPT-4 plugins (Consensus GPT, Scholar GPT and GPT web browsing modes) and an LLM-facilitated semi-automated approach (LLM-SA) using GPT4's Application Programming Interface (API).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!