Sentence examples for head performance from inspiring English sources

Parametric studies are followed by the design optimization process to deduce key factors to inkjet head performance: nozzle geometry, droplet size, ejecting speed, pulse amplitude, and ink viscosity.

Instead the cat's cradle of chairman, director of football, coach and head performance analyst should work closely to identify targets based on an agreed budget.And, contrary to popular belief, it can work in English football.

The object of the present work is to provide a theoretical framework to correlate different features of cross-bridge mechanics; the main hypothesis is that the attachment between the actin filament and the surrounding myosin filaments has to be continuous through the sliding (continuous sliding hypothesis) in order to maximise the effect of the myosin head performance.

Next the required electrical frequency is calculated using the head performance curve of the pump for multiple frequencies.

"Nekoda has had a brilliant day and has proved that she belongs at this level," said head performance coach Kate Howey.

The number of points followed by, head to head performance and then Net Run-rate is the criteria for determining the rankings for the World Cups from 1992 onwards.

Digital Foundry frequently does head-to-head performance showdowns of Xbox One X versus PlayStation Pro games.

To our best knowledge, however, the head-to-head performance comparison between the EKS and SPKS has not been made explicitly for the multiharmonic frequency tracking application.

We implemented the multiharmonic tracker using the recently proposed FBSL-SPKS technique and made the head-to-head performance comparison between the FBSL-SPKS and EKS multiharmonic trackers based on synthetic and real-world signals.

In order to clearly demonstrate the performance of the two-step Bayes classification framework, a head-to-head performance evaluation between the state-of-the-art machine learning technique, recursive feature elimination support vector machine (SVM-RFE), and our proposed framework was performed.

We conducted a head-to-head performance comparison between gene expression predictors derived from normal and tumor tissue (denoted as h gene-expression) vs. predictors derived solely from clinicopathology (h pathology; Materials and Methods) and benchmarked them in a LOO framework.