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  1. 781

    Development of an Inexpensive Sensor Network for Recognition of Sitting Posture by Ricardo Barba, Ángel P. de Madrid, Jesús G. Boticario

    Published 2015-08-01
    “…The aim of this work is the development of a network of wireless devices to determine, along with a time-stamp, postural changes of users that are to be used in personalized learning environments. …”
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    Uso de anticonceptivos y conocimiento del periodo fértil del ciclo menstrual en adolescentes by Maria Angela Vela Sosa, Alexandra Liñan-Bermudez, John Barja-Ore

    Published 2023-01-01
    “…Introducción: La comprensión de los cambios fisiológicos que se presentan en las mujeres adolescentes son fundamentales para el cuidado de su salud sexual. Esto favorece un comportamiento anticonceptivo orientado a la elección de métodos seguros y eficaces. …”
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    Ultra-low reverse leakage NiOx/β-Ga2O3 heterojunction diode achieving breakdown voltage >3 kV with plasma etch field-termination by Yizheng Liu, Saurav Roy, Carl Peterson, Arkka Bhattacharyya, Sriram Krishnamoorthy

    Published 2025-01-01
    “…This work reports the fabrication and characterization of a NiOx/β-Ga2O3 heterojunction diode (HJD) that uses a metallic nickel (Ni) target to deposit NiOx layers via reactive RF magnetron sputtering and lift-off processing with >3 kV breakdown voltage, ultra-low reverse current leakage under high reverse bias, and a high junction electric field (>3.34 MV/cm). …”
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  13. 793

    Ultrasonido transcraneal en el diagnóstico del Parkinson by Aniley Martínez González, Carlos Alberto Herrera Pérez, Reynier Barba Rodríguez

    Published 2014-10-01
    “…El ultrasonido transcraneal ha llegado como una herramienta para el diagnóstico de esta patología, con gran utilidad en su determinación precoz. …”
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  14. 794

    Patients’ Experience of Anxiety and Pain during Retrobulbar Injections prior to Vitrectomy by Michael Mimouni, Hamza Abualhasan, Kamal Mtanes, Fares Mazzawi, Yoreh Barak

    Published 2019-01-01
    “…The ROC curve analysis revealed an area under the curve of 0.89 (p<0.001), and a VASA score >4 demonstrated a sensitivity of 83.3% and a specificity of 73.8% in predicting severe pain. …”
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