Showing 43,361 - 43,380 results of 46,234 for search '((((students* OR studentsser*) OR studentsser*) OR studentsser*) OR student*)', query time: 0.30s Refine Results
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    PREDICTIVE VALUE OF ERYTHROCYTE ANISOTROPY COEFFICIENT IN PATIENTS HOSPITALIZED FOR ACUTELY DECOMPENSATED CHRONIC HEART FAILURE by V. A. Kostenko, M. Yu. Sitnikova, Е. A. Skorodumova, Е. G. Skorodumova, A. N. Fedorov

    Published 2017-12-01
    “…In aspect of the adverse outcome, group comparison with T-criteria by Student was 6,9 (p=0,0001). There was direct correlation of average strength between hemoglobin contents (r=0,53, р<0,05), creatinine (r=0,55, р<0,05) and С-reactive protein (CRP) (r=0,35; р>0,05), negative correlation for EFLV (r=-0,54, p<0,05) with RDW-SD.Conclusion. …”
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  7. 43367
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    METAPHOR SCENARIOS IN PSYCHOTERAPEUTIC DISCOURSE BY IRVIN YALOM by Oksana Doichyk, Iryna Shkoruta

    Published 2024-11-01
    “…The analyzed scenarios highlight the therapist-patient cooperation properties, as well as the metaphoric roles of the therapist and patient within the scenarios under study, such as: GUIDE (RAILING BY THE TORRENT, CRUTCH) /TRAVELLER (STUDENT), SEA CAPTAIN/PASSENGER, PARENT/CHILD, OPENER OF RUSTY GATES, CHIMNEY-SWEEPER/OVERSEER, CHESS PLAYERS/OPPONENTS, GARDENER/PLANT (LATE BLOOMER), THEATRE ACTORS.…”
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  9. 43369

    Global Structural Knowledge Distillation for Semantic Segmentation by Hyejin Park, Keonhee Ahn, Hyesong Choi, Dongbo Min

    Published 2025-01-01
    “…Knowledge distillation (KD) has become a cornerstone for compressing deep neural networks, allowing a smaller student model to learn from a larger teacher model. …”
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  10. 43370

    Borrowing in Visual Art Works: Aspects of Attitude Formation in the Educational Environment by Світлана Борисова

    Published 2023-09-01
    “…The article proposes recommendations for preventing visual plagiarism in creative student projects, which can be applied by teachers in educational and methodological activities. …”
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    Evaluation of indicators for higher education: development of tools by Rubia Cristina Wegner, Antonio José Alves Junior, Marcelo Pereira Fernandes

    Published 2024-12-01
    “…Its starting point is the understanding that the phenomenon of dropout is not merely an individual student's decision, but takes place in the academic, personal and professional context of the student who drops out. …”
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  16. 43376

    Predicting depressive symptoms through social support: a machine learning approach in military populations by Kun-Huang Chen, Pao-Lung Chiu, Ming-Hsuan Chen

    Published 2025-12-01
    “…Feature importance analyses using the Gini index indicated that different support sources (e.g. leader, peer, senior student) played varying roles across subgroups.Conclusions: Machine learning approaches demonstrate high AUPRC in predicting depressive symptoms and reveal nuanced subgroup patterns in perceived social support needs. …”
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  17. 43377

    Hubungan antara Dukungan Sosial dan Penyesuaian Diri pada Mahasiswa Universitas Airlangga by Harun Al Rasyid, Achmad Chusairi

    Published 2021-08-01
    “…Instrumen dari penelitian ini menggunakan Multidimensional Scale of Perceived Social Support dan Student Adaptation to College Questionnaire. Hasil analisis penelitian menunjukkan bahwa hubungan yang signifikan antara dukungan sosial dengan penyesuaian diri (r = 0,486; p = 0,000). …”
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  18. 43378

    The Intersection of Race, Data, and Learning: Applying QuantCrit to Mathematics Education Research by Jamaal Young, Jemimah Young, Kristian Edosomwan

    Published 2025-03-01
    “…By applying QuantCrit, researchers can uncover how structural barriers shape student outcomes and reframe assessment practices to better support historically marginalized learners. …”
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    Applying the Scrum Method in Software Development for Undergraduate Thesis Project Implementation by Attaf Riski Putra Ramadhan, Indra Waspada, Nurdin Bahtiar, Adhe Setya Pramayoga

    Published 2025-05-01
    “…In this program, the final project is carried out individually by a student under the supervision of two academic advisors, forming a small team structure that differs from conventional Scrum configurations. …”
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