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    BIFID MANDIBULAR CONDYLE by Yu. M. Mel’nichenko, N. А. Savrasova, S. L. Kabak, N. V. Zhuravleva

    Published 2017-10-01
    “…This article describes the clinical cases of doubling of the mandibular condylar process, which is detected by means of multislice spiral computed tomography (MSCT) and cone beam computed tomography (CBCT). …”
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  7. 5247

    Applications of molecular dynamics in nanomaterial design and characterization - A review by Md. Aminul Islam, S M Maksudur Rahman, Juhi Jannat Mim, Safiullah Khan, Fardin Khan, Md. Ahadul Islam Patwary, Nayem Hossain

    Published 2025-05-01
    “…Recent advances, such as improved multiscale modeling and computational algorithms and real-time simulations, shed light onto MD processes of revolutionizing nanotechnology. …”
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    RAPPORT-BUILDING THROUGH CALL IN TEACHING CHINESE AS A FOREIGN LANGUAGE: AN EXPLORATORY STUDY by Wenying Jiang, Guy Ramsay

    Published 2005-05-01
    “…Computer-mediated communication, for example, provides a practical means for extending the learning of spoken language, a challenging process in tonal languages such as Chinese, beyond the realms of the classroom. …”
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    Dental Clinicians’ and Technologists’ Experiences and Perspectives on Removable Complete Denture Fabrication Services in Makerere University Dental Hospital, Uganda by Nono D, Akugizibwe M, Bagenda G, Okullo I, Rwenyonyi CM

    Published 2024-12-01
    “…Patients’ fears and expectations can effectively be addressed in the consent process since adequate information can be shared and the patients can be psychologically prepared to receive the denture treatment.Keywords: complete denture therapy, computer-aided design, computer-aided manufacturing, dental technologists, dental clinicians…”
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    Short-Term Electrical Load Forecasting in Power Systems Using Deep Learning Techniques by Nihat Pamuk

    Published 2023-10-01
    “…The main reasons for the use of deep neural networks are the increase in computational power made possible by graphics processing units and tensor processing units, and the new algorithms created by recurrent neural networks and CNNs. …”
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    Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

    Published 2025-01-01
    “…In order to build a surrogate field model of the device, i.e., to compute the temperature profile on the disk, given the amplitudes and frequencies of the supply currents, three methods have been used (Support Vector Regression (SVR), fully connected Neural Network (NN) and Gaussian Process Regression (GPR)). …”
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