Sentence examples for data and decreasing from inspiring English sources

Some of them are part of full-length sequences also stored with different accession numbers thus increasing the redundancy of data and decreasing the pertinence/precision of the results for further analysis (such as the search of amino acids signature or statistical calculation).

The proposed set-up can be easily integrated into existing research set-ups because of the use of the anonymisation database from the existing system thus facilitating easy inclusion of digital image data and decreasing or eliminating the need for data transfer onto physical media (CD, DVD, etc).

"DIET" implementation resulted in error decrease and thus in improvement of menu planning, accuracy and recovery of data and decreased the time spent on menu planning.

After aging, the catalysts displayed increased selectivity to NH3; this is attributed in part to lengthening of the NOx storage-reduction zone, as demonstrated by SpaciMS data, and decreased OSC, resulting in decreased NH3 consumption by NOx and O2 downstream of the reductant front.

On the other hand, the gain of discriminative training was the highest for raw data and decreased with decreasing bit-rate.

The Radon transform and Fan-beam transform provide the opportunity of angle-dependent filtering, but produce adverse effects on curved features of seismic data and decrease seismic resolution.

The standard deviation of Pn traveltime residuals is 2.0 s for the original data and decreases to 1.1 s after inversion.

The root-mean-square (RMS) of the double-difference time residual decreased from 95 to 30 ms for the manually picked data and decreased from 61 to 7 ms for the cross-correlation data.

To increase the spatial resolution of the recorded data and decrease its dependence on the reference location, the authors used two techniques: Laplacian derivation [56 59] and common average reference (CAR) [55].

First, with a limited amount of training samples, excessive attributes may cause the classifier to overfit the training data, i.e., the learning mechanism fits to peculiarities in the training data and decreases the generalization performance for classifying new samples [31].

Albeit expensive and time consuming, future studies aimed at re-defining neonatal husbandry strategies may substantially improve immune resistance, benefit the quality of experimental data and decrease the number of subjects used in experimental trials.