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Based on cyclic physiologic animal bioimpedance and body temperature a new method is being evaluated to predict estrus in dairy cattle with the aim of improving artificial insemination efficiency.
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Home textiles are evaluated to predict the performance at projected application area for which they are designed.
Various thermodynamic parameters such as standard enthalpy (ΔH°), standard entropy (ΔS°), and standard free energy (ΔG°) were evaluated to predict the nature of adsorption.
Re-aeration coefficient (K2) is the function of water quality and hydraulic parameters need to be evaluated to predict the water quality.
The low-temperature fatigue resistance and high-temperature rutting resistance of the modified bitumens were evaluated to predict the road performance.
Finite element based structural model of wing with complex configuration is constructed, and the flexibility matrix is evaluated to predict the deflection of the wing.
Key design parameters such as the heat transfer coefficient, pressure drop, and thermal performance enhancement factor are evaluated to predict the overall performance of the heat exchangers.
Here, the effect of a step-wise increase in the organic loading rate (OLR) on reactor performance was investigated, and four new models were evaluated to predict methane yields using data acquired in batch mode.
Further biomarkers have also been evaluated to predict responsiveness to cetuximab/panitumumab.
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