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    COVID-19 Pandemisinde Gebelik Süreci ve Doğum Korkusu by Özlem Akın, Nülüfer Erbil

    Published 2022-04-01
    “…COVID-19 pandemisine bağlı sosyal izolasyonun, gebe kadınlarda sosyal destek yetersizliğine neden olduğu, doğum öncesi eğitim ve danışmanlığın gebelerin endişe ve korkusunu azaltmada olumlu etkisinin olduğu belirtilmektedir. …”
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    Tekrarlayan Ektopik Gebelik Olgusunda Yaşanan Depresyon ve Anksiyeteye Yönelik Verilen Hemşirelik Bakımının Stetler Modeli’ne Uyarlanması by Melike Kahveci, Oya Kavlak

    Published 2022-08-01
    “…Kayıp sonrası dönemde de kadınların psikolojik durumları değerlendirilmeli, bunlara yönelik girişimler yapılmalı, gerekirse psikolojik destek almaları sağlanmalıdır. Stetler Modeli, kanıta dayalı bakımın geliştirilmesinde kullanılan bir modeldir. …”
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  8. 1028

    Study on the Dynamic Problems of Double-Disk Rotor System Supported by Deep Groove Ball Bearing by Yang Liu, Jiyuan Han, Siyao Zhao, Qingyu Meng, Tuo Shi, Hui Ma

    Published 2019-01-01
    “…The excitation response results of the rotor system nodes are solved by using the Newmark-β numerical solution method combined with the Newton–Raphson iterative method. The vibration characteristics of the rotor system supported by deep groove ball bearings are studied deeply. …”
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  9. 1029
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    Kültürel Diplomasi Bağlamında Sanal Müzeler by Meryem Okumuş

    Published 2021-10-01
    “…Bu nedenle de kültürel diplomasi perspektifinden değerlendirildiğinde söz konusu bu verilerin eksik olması, devletlerin hangi ülkelere yönelik nasıl bir kültürel politika uygulayacaklarına ilişkin bir rehber hazırlanmasında alanında uzman akademisyen ve profesyonellerden destek alınmasını engellemektedir.…”
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  11. 1031

    Vibration Feedforward Compensation for Magnetically Suspended Control and Sensitive Gyroscope with Spherical Rotor by Qiang Liu, Heng Li, Cong Peng, Sha Sheng, Zhaojing Yin, Zhiguo Liu

    Published 2020-01-01
    “…The magnetic bearing-rotor dynamic model is established based on Newton’s second law and the gyrokinetic equations. …”
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  12. 1032

    ESTABLISHED MODES AND STATIC CHARACTERISTICS OF THREE-PHASE ASYNCHRONOUS MOTOR POWERED WITH SINGLE PHASE NETWORK by V. S. Malyar, V. V. Malyar

    Published 2016-12-01
    “…In the process of integration, Newton's refinement is performed at each step or at every few steps, making it possible to implement the integration in just a few steps using Euler's method. …”
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    Nonlinear Random Response Analyses of Panels Considering Transverse Shear Deformations under Combined Thermal and Acoustic Loads by Yeong-Nam Kim, Jae-Sang Park, Eun-Soo Go, Min-Hyuk Jeon, In-Gul Kim

    Published 2018-01-01
    “…A thermal postbuckling analysis is conducted using the Newton–Raphson method, and the dynamic nonlinear equations are solved using the Newmark-β time integration method. …”
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  18. 1038

    Parameter Estimation for the One-Term (Multiterm) Fractional-Order SEIAR Models of Norovirus Outbreak by Tianzeng Li, Yu Wang, Weiqiu Pan

    Published 2021-01-01
    “…To provide the numerical solution of the single-term (or multiterm) fractional-order nonlinear differential equation, the GMMP scheme and Newton method are introduced. Then, we make use of the modified hybrid Nelder-Mead simplex search and particle swarm optimization (MH-NMSS-PSO) algorithm to obtain the fractional orders and parameters for these fractional-order SEIAR models of Norovirus outbreak. …”
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  19. 1039

    A New Double Truncated Generalized Gamma Model with Some Applications by Awad A. Bakery, Wael Zakaria, OM Kalthum S. K. Mohamed

    Published 2021-01-01
    “…The delivery has hazard frequencies that are monotonically increasing or declining, bathtub-shaped, or upside-down bathtub-shaped. We use the Newton Raphson approach to approximate model parameters that increase the log-likelihood function and some of the parameters have a closed iterative structure. …”
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  20. 1040

    Robust Prediction of Healthcare Inflation Rate With Statistical and AI Methods in Iran by Mohammad Javad Shaibani, Ali Akbar Fazaeli

    Published 2024-01-01
    “…Using monthly time series data of HCIR in Iran, we developed various forecasting techniques based on classical smoothing methods, decomposition ETS (error, trend, and seasonality) approaches, autoregressive (AR) integrated moving average (ARIMA), seasonal ARIMA (SARIMA), and a multilayer nonlinear AR artificial neural network (NARANN) with several training algorithms including Bayesian regularization (BR), Levenberg–Marquardt (LM), scaled conjugate gradient (SCG), Broyden–Fletcher–Goldfarb–Shanno (BFGS) quasi-Newton, conjugate gradient with Powell–Beale restarts (CGB), conjugate gradient with Fletcher–Reeves updates (CGF), and resilient propagation (RPROP) algorithms. …”
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