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Learning through “Research Cognitive Theory”: A new framework for developing 21st century research skills in secondary school students
Published 2025“…The RCT in the HSRCLP is grounded within Social Learning Theory (SLT) & Social Cognitive Theory (SCT), incorporating the principles of challenge-based learning (CBL) and blended problem & project-based learning (PBL + PjBL) pedagogical approaches. …”
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Indomethacin as a Rescue Therapy for Patent Ductus Arteriosus in Extremely Premature Infants after Failed Ibuprofen Treatment
Published 2023“…<p dir="ltr">Hemodynamically significant patent ductus arteriosus (hsPDA) is a major cause of neonatal morbidity and mortality in extremely low birth weight (ELBW) infants. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Bridging Classrooms and Communities: The Transformative Impact of Community‐Based Dental Education on the Learning Experiences of Undergraduate Students
Published 2025“…<h3>Aims</h3><p dir="ltr">This study aimed to evaluate the impact of community‐based dental education (CBDE) on the learning experiences of undergraduate dental students and recent dental graduates from two diverse geographical regions.…”
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2024“…Materials and Methods A deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer
Published 2023“…Materials and MethodsA deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …”
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Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset
Published 2021“…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. …”
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A machine learning-based optimization approach for pre-copy live virtual machine migration
Published 2023“…To address the issue, this paper proposes a machine learning-based method to optimize pre-copy migration. …”
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Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches
Published 2025“…Targeted metabolites were selected based on correlation strength with diabetes status. …”
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Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
Published 2024“…Aiming at these problems, this study develops a novel unsupervised data-driven FD strategy based on leveraging the potential of <u>transfer learning</u> and the Koopman operator. …”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Our data suggest that kefir is able to inhibit the proliferation and induce apoptosis in HT‑29 and Caco‑2 CRC cells, yet it does not exhibit a significant effect on the motility and invasion of these cells in vitro.…”
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Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach
Published 2023“…The initial relation extraction mechanism was further extended by integrating its output into a Machine Learn ing classifier that facilitated extracting especially complex relations with significant disparity in the relation elements’ presence, order, and correlation. …”
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Does problem‐based learning facilitate enactment of learner agency in undergraduate dental curricula? A Q study
Published 2022“…<h3>Introduction</h3><p dir="ltr">Addressing a literature gap on leaner agency in health profession education, this study explores students' perceptions on which aspects of a problem‐based learning (PBL) environment cradle their leaner agency enactment.…”
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Temporal fusion transformer-based prediction in aquaponics
Published 2023“…In this research, an attention-based Temporal Fusion Transformers deep learning model was proposed and validated to forecast nitrate levels in an aquaponics environment. …”
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An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health
Published 2024“…Therefore, early detection of diabetes would help to determine a proper diagnosis and treatment plan.</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
Published 2025“…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …”
