Sentence examples for templates to capture from inspiring English sources

Electronic Laboratory Notebooks (ELNs) frequently make use of forms or structured templates to capture information.

The key technical idea is to use templates to capture the relationships between the morphologies of correlated signals.

In addition, using quite large scanning templates to capture the large-scale geological features increases the levels of constructed search tree and hence more memory will be required.

Since the assembled structure of melamine possesses homogeneous holes with uniform diameter, this porous network might act as host template to capture some appropriate guest molecule or ions.

At least for very deep sequencing, the reaction size and number would need to be scaled up in order to obtain sufficient TCR template to capture the diversity of the sample.

We selected the first five papers in RefWorksTM and coded them separately using the template to assess whether there was good agreement between coders and if the template failed to capture sections of the papers.

Firstly, the training image TI is scanned through the search template T to capture all the available patterns present.

Reviewers need to record these details using a customised template designed to capture characteristics of each study, its dataset, and its analysis.

The template sought to capture data related to potential themes regarding the teaching role that were identified in the literature (resident satisfaction, improved resident drug knowledge, positive attitudes towards pharmacists) and that were hypothesized by the research team (lack of a formal curriculum, improved patient care, confidence in prescribing, reduced medication errors).

These computer-based systems typically make use of forms and templates in order to capture experiment records, and a perhaps unseen challenge is the impact of these templates on the information that is captured and therefore the quality and usefulness of the experiment record.

In [109] the threshold value is extracted from a training dataset of rectangular boxes containing pedestrians, then probabilistic templates are exploited to capture the variations in human shape, for managing the case where contrast is low and body parts are missing.