Showing 61 - 80 results of 282 for search '(((farr OR ((farry OR harry) OR fary)) OR (fair OR air)) OR ((farmy OR farms) OR farm)) 40', query time: 0.22s Refine Results
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    Investigation of the Association between Air Pollution and Non-Alcoholic Fatty Liver Disease in the European Population: A Mendelian Randomization Study by Yang, Jing, Zhang, Yaqi, Yuan, Yin, Xie, Zhongyang, Li, Lanjuan

    Published 2024
    “…In the derivation set, causal relationships between PM2.5, NO2, and NAFLD were observed in univariable Mendelian randomization (UVMR) (Odds Ratio (OR) = 1.99, 95% confidence interval (95% CI) = [1.22–3.22], p = 0.005; OR = 2.08, 95% CI = [1.27–3.40], p = 0.004, respectively). After adjustment for air pollutants or alcohol intake frequency in multivariable Mendelian randomization (MVMR), the above genetic correlations disappeared. …”
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    Article
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    Demystifying the diagnostic potentials of air-conducted ocular and cervical vestibular evoked myogenic potential test elicited by a custom-built chirp stimulus among patients with... by Abdallatif, Athar Mazen Rasmi

    Published 2024
    “…This study explores the diagnostic potential of an air conducted downward narrowband chirp stimulus in detecting vestibular disorders using cervical VEMP (cVEMP) and ocular VEMP (oVEMP). …”
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    Thesis
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    Life cycle assessment of greenhouse gas emissions and carbon mitigation methods in probiotic-fed broiler production by Chin, H.W., Tee, T.P., Tan, N.P., Angkanaporn, Kris

    Published 2024
    “…The experimental results indicated that energy consumption, i.e. electricity and fuel, have the highest greenhouse emissions (44%), followed by feed production with 40% of the total 53.51 t CO2-eq/house/cycle in the probiotic-fed broiler farm. …”
    Article
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    Machine learning-based approach to wind turbine wake prediction under yawed conditions by Gajendran, Mohan Kumar, Ijaz Fazil Syed Ahmed Kabir, Vadivelu, Sudhakar, Ng, Eddie Yin Kwee

    Published 2024
    “…While the model demonstrates remarkable precision in predicting wake deflection and velocity deficit at both the wake center and hub height, it shows a slight deviation at low downstream distances, which is less critical to our focus on large wind farm design. Nonetheless, our approach sets the stage for advancements in academic research and practical applications in the wind energy sector by providing an accurate and computationally efficient tool for wind farm optimization. …”
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    Journal Article