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  3. 2043

    The Validity Of 75gms OGTT For Detection Of GDM Keeping 100gms OGTT As Gold Standard by Shazia Mehreen, Muhammad Usman, Kashif Rauf, Saima Naz, Muhammad Abdul Rab Faisal Sultan, Muhammad Akram Randhawa

    Published 2023-09-01
    “… Objective: To determine the validity of 75gms (Oral Glucose Tolerance Test) OGTT for the detection of GDM keeping 100gms OGTT as the gold standard. Methodology: This was a Cross-sectional validation study done at the Mother and Child Health Centre, Pakistan Institute of Medical Sciences, Islamabad. …”
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  4. 2044

    Polyethylene glycol-based deep eutectic solvents as a novel agent for natural gas sweetening. by Jiyad N Aldawsari, Idowu A Adeyemi, Abdelbasset Bessadok-Jemai, Emad Ali, Inas M AlNashef, Mohamed K Hadj-Kali

    Published 2020-01-01
    “…Experimentally screening for highly efficient DESs meeting various requirements for natural gas sweetening remains a challenging task. …”
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  5. 2045
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    A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment by Fan Ding, Yongyi Zhang, Rui Chen, Zhanwen Liu, Huachun Tan

    Published 2022-01-01
    “…This article presents a traffic state estimation method based on a deep learning algorithm under a low and dynamic CVs penetration rate environment. …”
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  7. 2047

    Effect of deep mixed column pattern on the performance of basal reinforced embankment resting on soft soil by Sujata Fulambarkar, Bappaditya Manna, J.T. Shahu

    Published 2025-03-01
    “…The deep mixing method (DMM) a soil solidification technique, involves mechanically blending the natural soft soil with a binder to create stiffer soil columns or panel walls, enhancing stability in soft ground areas. …”
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  8. 2048
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    Solving a Joint Pricing and Inventory Control Problem for Perishables via Deep Reinforcement Learning by Rui Wang, Xianghua Gan, Qing Li, Xiao Yan

    Published 2021-01-01
    “…We also show that our deep reinforcement learning algorithm achieves a better performance than tabular-based Q-learning algorithms. …”
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  11. 2051

    Dataset for developing deep learning models to assess crack width and self-healing progress in concrete by Jacek Jakubowski, Kamil Tomczak

    Published 2025-01-01
    “…Abstract The presented dataset comes from an experimental study on the autogenous self-healing of high-strength concrete and the development of deep learning metasensor for crack width assessment and self-healing evaluation. …”
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  12. 2052
  13. 2053

    An approximate analytical model for the frequency response of evaporating droplets under a mixed feeding regime by Anani, Kwassi, Prud’homme, Roger, Hounkonnou, Mahouton N.

    Published 2023-02-01
    “…The effects due to the variation of the heat transfer coefficient of the feeding process, as well as those due to the characteristic evaporation times and phase delay are analyzed. …”
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  14. 2054

    Cull Cow Beef Quality Issues: Horns, Ocular Squamous Cell Carcinoma, and Lumpy Jaw by Amie Imler, Matt Hersom, Todd Thrift, Joel Yelich, Max Irsik

    Published 2014-12-01
    “…This 3-page article is one of the Cull Cow Beef Quality Issues series, which addresses liability and food safety concerns. …”
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    Simulation and Test Study of Blast Crater in Deep Ore Body of Metal Mine Based on Lsdyna by Erhu Dong, Long An, Yuanhui Li, Jiahua Zhang

    Published 2024-01-01
    “…In order to study the effects of rock physical and mechanical properties of the ore body, explosive detonation pressure and deep crustal stress on powder factor, blast action index and blast vibration. …”
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  17. 2057

    Trace Element Supplementation of Livestock in New Zealand: Meeting the Challenges of Free-Range Grazing Systems by Neville D. Grace, Scott O. Knowles

    Published 2012-01-01
    “…On farms where grazing animals are infrequently yarded, there are limited opportunities to administer trace element supplements via feeds and concentrates. In New Zealand, where the majority of sheep, cattle, and deer graze pasture year round, inadequate intake of cobalt, copper, iodine and selenium is prevalent. …”
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  18. 2058
  19. 2059

    Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model by Ngoc Hung- Chu, Hoai Nam- Nguyen, Van Du- Nguyen, Dang Binh- Nguyen

    Published 2025-12-01
    “…One of the main challenges when drilling small and deep holes is the difficulty of chip evacuation. …”
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  20. 2060