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http://dx.doi.org/10.7748/ns.21.50.61.s53 | DOI Listing |
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June 2025
Department of Networking & Communications, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.
Forecasting student performance with precision in the educational space is paramount for creating tailor-made interventions capable to boost learning effectiveness. It means most of the traditional student performance prediction models have difficulty in dealing with multi-dimensional academic data, can cause sub-optimal classification and generate a simple generalized insight. To address these challenges of the existing system, in this research we propose a new model Multi-dimensional Student Performance Prediction Model (MSPP) that is inspired by advanced data preprocessing and feature engineering techniques using deep learning.
View Article and Find Full Text PDFReprod Health
January 2025
Reproductive Health, Nursing and Midwifery Care Research Center, Midwifery Group, Mashhad University of Medical Sciences, Mashhad, Iran.
Background: Endometriosis is a benign and chronic gynecological estrogen-dependent condition. Research findings have highlighted its impact on different aspects of women's lives. Enhancing quality of life and supporting the well-being of those affected is advised.
View Article and Find Full Text PDFPharmaceutics
January 2025
Faculty of Pharmacy, Medical University of Sofia, 1000 Sofia, Bulgaria.
Resveratrol is a natural polyphenol (stilbenoid), which can be found in grape skin, red wine, blueberries, peanuts and others. The biological properties of resveratrol, in particular antioxidant, anti-inflammatory, anticancer, estrogenic, vasorelaxant and cardioprotective activity, are the main reason for its importance in medicine and pharmacy. Despite all of its advantages, however, there are many problems related to this polyphenolic substance, such as low stability, water insolubility, poor bioavailability and fast metabolism.
View Article and Find Full Text PDFDiagnostics (Basel)
January 2025
Department of Anatomy, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
: This is a systematic review on the subject of anatomic landmarks and variations in the mandible that influence implantation placement. With this systematic review, we would like to summarize the results from different studies that are relevant to this subject and that are up to date, presenting their main findings, the measurements of mentioned landmarks, and giving clinical implications that will be helpful to practitioners in their better understanding of this topic. : This study followed all of the elements of PRISMA.
View Article and Find Full Text PDFBeijing Da Xue Xue Bao Yi Xue Ban
February 2025
Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
Adolescence is defined as a population ranging from ten to nineteen years old. Permanent teeth in adolescents are of critical significance as they are actively involved in mastication, contribute to aesthetic appearance, play a role in pronunciation, and are integral to the growth and development of the stomatognathic system. Specifically, permanent teeth in adolescents comprise those with incomplete root development and those with complete root development but unstable gingival margin positions.
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