Sentence examples for predictions with emphasis from inspiring English sources

The work herein presents modifications to the initial chemical kinetics mechanism which led to improved agreement between measurements and model-based predictions, with emphasis on the fuel-rich condition.

The focus of machine learning is on programming algorithms to learn from data, complete tasks and make predictions with an emphasis on high statistical accuracy.

This study proposes an online travel time prediction model with emphasis on capturing the effects of anomalies.

We develop a stringent DDI-based prediction approach with emphasis on (i) differences between the specific domain sequences on annotated regions of proteins under the same domain ID and (ii) calculation of the interaction strength of predicted PPIs based on the interacting residues in their interaction interfaces.

We have been studying the application of molecular dynamics simulations to the prediction of peptide structure, with emphasis on the ability of current generation forcefields to correctly identify foldable peptides and to predict their solution structure and dynamics.

This review highlights the current progress related to neo-antigens discovery with emphasis on prediction algorithms and MS as well as the synergy of the two methodologies and how they can be exploited to develop effective personalized immunotherapy.

Typical sources of systematic errors in the wind tunnel tests are considered and analyzed with emphasis on the prediction of wall interference problems.

The first-order conditional moment closure (CMC) model is applied to a CH4/H2 bluff-body flame with emphasis on NO prediction.

This paper addresses the problem of the impact and compression after impact (CAI) behaviour prediction of variable stiffness composite laminates with emphasis on the effect of the interaction between fibre orientations, matrix-cracks and delaminations.

Following on from the ATAC data, a minisymposium was devoted to the topic of aromatase inhibitors, with emphasis on response prediction, breast cancer prevention and clinical application.

Four simulations with emphasis on crack path prediction are presented.