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D-glucose-conjugated thioureas containing 2-aminopyrimidine as potential multitarget inhibitors for type 2 diabetes mellitus: Synthesis and biological activity study.

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Faculty of Chemistry, University of Science (Vietnam National University, Hanoi), 19 Le Thanh Tong, Hoan Kiem, Ha Noi, Viet Nam; VNU University of Education, Vietnam National University, Hanoi, 144 Xuan Thuy, Cau Giay, Ha Noi, Viet Nam.

α-d-Glucose-conjugated thioureas 8a-w of substituted 4,6-diaryl-2-aminopyrimindines were designed, synthesized, and screened for their antidiabetic inhibitory activity. The thioureas with the strongest potential inhibitory activity included 8f (IC = 11.32 ± 0.

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Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.

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Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:

- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.

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Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.

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Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neurology and Cerebrovascular Disease Group, Neuroscience Area La Paz Institute for Health Research (idiPAZ), (La Paz University Hospital- Universidad Autónoma de Madrid), Spain. Electronic address:

The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by the evaluator's subjectivity. We present an artificial intelligence-based system for the automatic, accurate, and objective analysis of target parameters evaluated by the ledged beam walking test, which offers higher sensitivity than the current methodology based on manual and visual counting. This system employs a residual deep network model, trained with DeepLabCut (DLC) to extract target paretic hindlimb coordinates, which are categorized to provide a ratio measurement of the animal's neurological deficit.

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Prior studies highlight the importance of academic buoyancy and adaptability in educational trajectories, yet the influence of family-related factors remains less explored. Anchored in Bronfenbrenner's ecological systems theory, this research examines how family socioeconomic status (SES) influences academic buoyancy and adaptability, the predictive relation between family SES and parental involvement, and whether parental involvement mediates the impact of family SES on academic outcomes. We surveyed 1164 junior high school students from China.

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A study on how to improve students' continuance intention in landscape architecture conservation course within a virtual learning environment based on SVVR.

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Department of Culture and Arts Management, Honam University, 62399 Gwangju, South Korea. Electronic address:

With the rapid pace of global urbanization, preserving natural landscapes has become increasingly critical. However, urbanization presents significant environmental risks worsened by decreased ecological consciousness. This has led to a pressing demand for education in landscape conservation.

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