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  1. 3521

    Effect of Professional Ownership on Compassion Fatigue and Quality of Life among Midwives by İpek Turan, Hacer Ünver Koca

    Published 2024-12-01
    “…Data were collected using the Personal Introduction Form, Midwifery Belonging Scale, Compassion Fatigue Brief Scale, and Quality of Life Scale for Employees.Results: The average age of the midwives in the study was 33.02, 76.6% had a bachelor's degree, 62.4% were married, 46.8% had an income equal to their expenses, 50.0% did not have children, 90.7% did not find the salary they received as a midwife sufficient, 58.3% chose the midwifery profession in order not to have problems finding a job, 30.7% were currently working at ASM, 89.8% did not have an administrative position at the institution, 48.5% worked in shifts, and the average total service period was 9.08%. …”
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  2. 3522
  3. 3523

    FERROMAGNETIC NANOTUBES IN PORES OF TRACK MEMBRANES FOR THE FLEXIBLE ELECTRONIC ELEMENTS by E. Yu. Kaniukov, E. E. Shumskaya, M. D. Kutuzau, D. B. Borgekov, I. E. Kenzhina, A. L. Kozlovskiy, M. V. Zdorovets

    Published 2017-09-01
    “…In the paper the template synthesis of ferromagnetic (Fe, Co, Ni) nanotubes in the pores of track membranes were studied. …”
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  4. 3524
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  12. 3532

    The Deformation Mechanism of the Rings of Angular-Contact Ball Bearings During the Quenching and Tempering Process by Ruijie Gu, Yi Tong, Qiang Wang, Liaoyuan Chen, Ziyang Shang

    Published 2025-01-01
    “…Therefore, a combination of numerical simulations and experimental methods was employed to analyze the heat treatment process of the rings of angular-contact ball bearings (ACBB) (7008C). Firstly, according to the multiple coupling theory of thermal, phase-transition, and stress–strain fields, a model for the numerical simulation of the quenching and tempering process was established. …”
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  13. 3533

    Explore the Mechanism of Astragalus mongholicus Bunge against Nonalcoholic Fatty Liver Disease Based on Network Pharmacology and Experimental Verification by Lili Fu, Zhongming Wu, Yanjun Chu, Wenbin Chen, Ling Gao, Shumin Mu, Jiajun Zhao

    Published 2022-01-01
    “…Then, the AMB-NAFLD protein target interaction network was built by the STRING database. GO and KEGG pathway enrichment analyses were performed using the DAVID database. …”
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  14. 3534

    Validation of Housekeeping Genes to Study Human Gingival Stem Cells and Their In Vitro Osteogenic Differentiation Using Real-Time RT-qPCR by Ihsène Taïhi, Ali Nassif, Tsouria Berbar, Juliane Isaac, Ariane Berdal, Bruno Gogly, Benjamin Philippe Fournier

    Published 2016-01-01
    “…This study demonstrated that three HKGs, SDHA, ACTB, and B2M, were the most stable to study GSC, whereas TBP, SDHA, and ALAS1 were the most reliable to study dGSCs. …”
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  15. 3535

    Antiviral and Immunoenhancing Properties of 7-Thia-8-Oxoguanosine and Related Guanosine Analogues by Donald F Smee, Howard B Cottam, Brahma S Sharma, Ganesh D Kini, Ganapathi R Revankar, Emmanuel A Ojo-Amaize, Robert W Sidwell, Weldon B Jolley, Roland K Robins

    Published 1992-01-01
    “…The protective effect of TOGuo against Semliki Forest and Punta Toro viruses can be eliminated by co-treatment with antibody to alpha/ beta-interferon. indicating that interferon induction is of prime importance for antiviral activity against these two viruses. …”
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  16. 3536
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    Establishment of Tissue Culture System of Actinidia deliciosa Cultivar “Guichang” by Weimin Zhong, Junliang Zhou, Dongmei Tang, Yaxin Huang, Futao Liu, Min Zhang, Guoli Wang, Sufang Wu, Yue He, Jingwen Tang

    Published 2021-01-01
    “…In addition, the RT-qPCR results demonstrated that the infection rate of 9 viruses: apple stem grooving virus (ASGV), cucumber mosaic virus (CMV), Actinidia virus X (AVX), cucumber necrosis virus (CNV), ribgrass mosaic virus (RMV), citrus leaf blotch virus (CLBV), Actinidia virus B (AcVB), Pelargonium zonate spot virus (PZSV), and cherry leaf roll virus (CLRV) in the “Guichang” kiwifruit tissue culture plantlets was 0. …”
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  19. 3539
  20. 3540

    A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

    Published 2025-01-01
    “…The ensemble achieves an 83.2% Area Under the Curve (AUC) of Receiver Operating Characteristics (ROC) score, indicating good classification efficiency. It produced 75% accuracy as well. …”
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