Showing 561 - 580 results of 616 for search 'AirAsia~', query time: 1.44s Refine Results
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    The impact of food-based incentive behaviors on oral health among Saudi children: a cross-sectional study by Yasir Dilshad Siddiqui, Saud Hamdan Almaeen, Ahmed Shawkat Hashem, Ahmed Ali Ahmed Almuntashiri, Mohammed Nadeem Baig, Abdullah Hammad Alshammari, Rital Jamal Alwaqid, Haifa Ali Almutairi, Raha Ahmed, Rakhi Issrani, Farooq Ahmad Chaudhary

    Published 2025-02-01
    “…Methods An observational cross-sectional study was conducted at Jouf University Hospital, Saudi Arabia. The study included 316 medically healthy children aged 4 to 10 years and their Arabic or English-speaking guardians. …”
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    Takdim by Halil Burak Sakal, Merve Yildiz

    Published 2024-12-01
    “…Köyün, 1696 ile 1782 yılları arasına tarihlenen on arşiv belgesi üzerinden kendine özgü idari, sosyo-ekonomik ve hukuki dinamiklerini ortaya koymaktadır. …”
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    Penerapan Agent-Based Simulation dalam Memprediksi Penggunaan Berkelanjutan Sistem ERP by Afrin Fauzya Rizana, Fadillah Ramadhan

    Published 2020-02-01
    “…Pendekatan agent-based simulation dirasa cocok untuk mengidentifikasi perilaku penggunaan berkelanjutan yang dilakukan pengguna karena memungkinkan dilakukannya pengamatan terkait dengan perilaku agent yang memiliki beragam karakteristik. …”
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    Chaihu Shugan San and Zuogui Yin synergistically improve premature ovarian failure in a rat model via the PI3K/Akt/mTOR pathway by Fei Zhang, RuiFang Liu, ZhenLing Xu, WenJie Chen, XiYa Lu, Yang Wang

    Published 2025-03-01
    “…Compared to the model group, Chaihu Shugan San, Zuogui Yin, and their combination increased granulosa cell proliferation (P < 0.01), reduced follicular atresia (P < 0.05), and normalized hormone levels (FSH: reduced by 36.5 %; E2: increased by 42.8 %, P < 0.05). …”
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    Perbandingan Metode Penyelesaian Permasalahan Optimasi Lintas Domain dengan Pendekatan Hyper-Heuristic Menggunakan Algoritma Reinforcement-Late Acceptance by Anang Firdaus, Ahmad Muklason, Vicha Azthanty Supoyo

    Published 2021-10-01
    “…Sehingga pendekatan ini dirasa kurang efektif. Oleh karena itu diperlukan pendekatan baru, yaitu pendekatan hyper-heuristics. …”
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  18. 578

    Perbandingan Metode Supervised Machine Learning untuk Prediksi Prevalensi Stunting di Provinsi Jawa Timur by M Syauqi Haris, Ahsanun Naseh Khudori, Wahyu Teja Kusuma

    Published 2022-12-01
    “…Supervised machine learning merupakan pendekatan dalam pembuatan kecerdasan buatan (artificial intelligence) yang menggunakan data-data berlabel sebagai data latihnya. Pendekatan ini dirasa sangat sesuai digunakan dalam prediksi nilai prevalensi stunting pada suatu wilayah berdasarkan data-data lain yang relevan.  …”
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    Heterogeneous clinical phenotypes of sporadic early-onset Alzheimer’s disease: a neuropsychological data-driven approach by Deepti Putcha, Yuta Katsumi, Alexandra Touroutoglou, Ani Eloyan, Alexander Taurone, Maryanne Thangarajah, Paul Aisen, Jeffrey L. Dage, Tatiana Foroud, Clifford R. Jack, Joel H. Kramer, Kelly N. H. Nudelman, Rema Raman, Prashanthi Vemuri, Alireza Atri, Gregory S. Day, Ranjan Duara, Neill R. Graff-Radford, Ian M. Grant, Lawrence S. Honig, Erik C. B. Johnson, David T. Jones, Joseph C. Masdeu, Mario F. Mendez, Erik Musiek, Chiadi U. Onyike, Meghan Riddle, Emily Rogalski, Stephen Salloway, Sharon Sha, R. Scott Turner, Thomas S. Wingo, David A. Wolk, Kyle Womack, Maria C. Carrillo, Gil D. Rabinovici, Bradford C. Dickerson, Liana G. Apostolova, Dustin B. Hammers, the LEADS Consortium

    Published 2025-02-01
    “…In contrast to the heterogeneity observed from our neuropsychological data-driven approach, diagnostic classifications for this same sample based solely on clinical judgment indicated that 82% of individuals were amnestic-predominant, 9% were non-amnestic, 4% met criteria for Posterior Cortical Atrophy, and 5% met criteria for Primary Progressive Aphasia. Conclusion A neuropsychological data-driven method to phenotype EOAD individuals uncovered a more detailed understanding of the presenting heterogeneity in this atypical AD sample compared to clinical judgment alone. …”
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