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Here we examine the extent to which stream turbidity can be predicted through the prediction of event model parameters.
This implies that, according to our study, going through the prediction of C f is a better way to predict the residual flexural strength of corroded RC beams.
Also, we recommend that it is better to estimate the flexural strength of corroded RC beams indirectly through the prediction of C f.
Here, we report on the design of several synthetic competitive inhibitory peptides against key pathogenic ZIKV proteins through the prediction of protein protein interactions (PPIs).
The model permits the investigation of historical grazing management under variable environmental conditions in Iceland through the prediction of spatial and temporal patterns of vegetation biomass and utilisation.
Four different ANN models were developed in this study: A model each to directly predict the flexural strength of corroded RC beams (M res ) and indirectly through the prediction of the correlation factor (C f ).
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It utilises the contribution of through-thickness stresses, in the prediction of the onset of internal damage created by this type impact scenario.
The advantage of the present formulation in comparison to linear layerwise theories lies in the small number of discrete layers used to model the thick composite laminate through-thickness and in the prediction of interlaminar shear stresses at the interface.
A key issue in designing a new product made through the Additive Manufacturing AMM) is the prediction of mechanical properties of material.
Simulating the erosion process through finite element enables the prediction of erosion behavior of materials under different conditions, which will substitute the need of experimentation, and will enable the identification of constants required for existing analytical models.
Strategies for developing quantitative structure affinity relationships (QSAfR) for the prediction of break-through performance of 31 chlorinated hydrocarbons on activated carbon have been studied.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com