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    A Comprehensive Study on Gamma Rays and Fast Neutron Sensing Properties of GAGOC and CMO Scintillators for Shielding Radiation Applications by Shams A. M. Issa, M. I. Sayyed, M. H. M. Zaid, K. A. Matori

    Published 2017-01-01
    “…The WinXCom program has been used to calculate the mass attenuation coefficients (μm), effective atomic numbers (Zeff), effective electron densities (Nel), half-value layer (HVL), and mean free path (MFP) in the energy range 1 keV–100 GeV for Gd3Al2Ga3O12Ce (GAGOC) and CaMoO4 (CMO) scintillator materials. …”
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  8. 26728

    Investigating the status and skills of Afghan students using the Cognitive Diagnostic Model (CDM) of Afghanistan's 8th grade mathematics. by Mohammad Nasim Wafa

    Published 2024-05-01
    “…The result shows that Afghan students have a weak mastery level in most attributes compared to 45 other countries (the countries that were included in the TIMMS questionnaire) also general results show that the examinees perform better in the field of numbers (0.49), while they perform worse in data and chance (0.12 ). …”
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    Viscosity Methods of Asymptotically Pseudocontractive and Asymptotically Nonexpansive Mappings for Variational Inequalities by Xionghua Wu, Yeong-Cheng Liou, Zhitao Wu, Pei-Xia Yang

    Published 2012-01-01
    “…Let {𝑡𝑛}⊂(0,1) be such that 𝑡𝑛→1 as 𝑛→∞, let 𝛼 and 𝛽 be two positive numbers such that 𝛼+𝛽=1, and let 𝑓 be a contraction. …”
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  11. 26731

    The mean and noise of stochastic gene transcription with cell division by Qi Wang, Lifang Huang, Kunwen Wen, Jianshe Yu

    Published 2018-09-01
    “…In this paper, we study the impact of cell division on the mean and noise of mRNA numbers by using a two-state stochastic model of transcription. …”
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  12. 26732

    Turkish pastramı; the development of its modern processing technique and its preservation with vacuum packaging by Nazif Anıl

    “…It was deduced that the weight loss decreased to the level of 1. 75 %, the total viable cell count dropped to 2.9xl0<sup>5</sup>, the proliferation of anaerob microorganisms increased to 3 .5xl0<sup>4</sup>, the degree of organoleptic acceptability has not changed significantly (7.9) at the end of 3 months storage period.…”
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  13. 26733

    Secured DICOM medical image transition with optimized chaos method for encryption and customized deep learning model for watermarking by R. Abirami, C. Malathy

    Published 2025-04-01
    “…Moreover, the approach provides impressive metrics such as MSE at 1.41E-06, SNR at 59.9876, PSNR at 60.3456, NC at 0.9989, and Q at 0.9992, showcasing its outstanding performance and reliability.…”
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    Learning Processes to Predict the Hourly Global, Direct, and Diffuse Solar Irradiance from Daily Global Radiation with Artificial Neural Networks by Hanae Loutfi, Ahmed Bernatchou, Younès Raoui, Rachid Tadili

    Published 2017-01-01
    “…The test of these models over unseen data showed a good accuracy and proved their generalization capability (nRMSE = 13.1%, 9.5%, and 8.05% and R = 0.98, 0.98, and 0.99) for hourly global, hourly direct, and daily direct radiation, respectively. …”
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  16. 26736

    Oxidative Stress, Antioxidant Capacity, and Inflammatory Markers in Patients with Idiopathic Complete Heart Block by Shobhit Shah, Monika Bhandari, Pravesh Vishwakarma, Wahid Ali, Mohammad Kaleem Ahmad, Abhishek Singh, Ayush Shukla, Akhil Kumar Sharma, Gaurav Chaudhary, Akshyaya Pradhan, Sharad Chandra, Rishi Sethi, S. K. Dwivedi

    Published 2024-07-01
    “…Total antioxidant capacity levels(TOAC) (P = 0.025), GSH (P = 0.027), CAT (P = 0.003), and SOD (P = 0.891) were considerably lower in patients during a CHB compared to the healthy control group, indicating that an increase in oxidative free radicals leads to endothelial dysfunction. …”
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  17. 26737

    Development and validation of a machine learning-based model to predict survival in patients with cirrhosis after transjugular intrahepatic portosystemic shuntResearch in context by Binlin Da, Huan Chen, Wei Wu, Wuhua Guo, Anru Zhou, Qin Yin, Jun Gao, Junhui Chen, Jiangqiang Xiao, Lei Wang, Ming Zhang, Yuzheng Zhuge, Feng Zhang

    Published 2025-01-01
    “…The accuracy, precision, recall, and F1 Score of the RF model were 0.84 (95% CI: 0.76, 0.91), 0.84 (95% CI: 0.77, 0.91), 0.99 (95% CI: 0.95, 1.00), 0.91 (95% CI: 0.81, 0.10) in the testing set, and 0.88 (95% CI: 0.84, 0.91), 0.89 (95% CI: 0.85, 0.92), 0.99 (95% CI: 0.97, 1.00), 0.93 (95% CI: 0.85, 0.97) in the validation cohort, respectively. …”
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