Sentence examples for procedures for scoring from inspiring English sources

The current procedures for scoring the PQLI reflect the multidimensionality of the quality of life domain.

Then we will derive, apply, and evaluate several statistical procedures for scoring software-coded emotion expression data specifically, data that were collected to assess individual differences in facial emotion expression ability.

Two scores were used herein following standard procedures for scoring the ILC [ 39]: (1) The ILC 0-100 scorepresentingting a total QoL score, is obtained by summing the rating values across the seven items and transforming them into a 0-100 scale (0 = Very low QoL, 100 = Very high QoL).

A bootstrapping procedure for scoring haplotypes and a method for optimising alternative genotype inferences based on these scores is presented.

Standard procedure for scoring this measure involves converting raw scores to t-scores (mean ± SD, 50 ± 10) referencing an adult, normative database provided in the manual (McNair and Heuchert 2005).

In summary, the full procedure for scoring all candidate edges in E, which we call TIGRESS, splits the GRN inference problem into p independent regression problems taking each target gene g ∈ G in turn, and scores each candidate regulation (t g) for a candidate TF t ∈ T g with the original (3) or area (4) stability score applied to LARS feature selection.

The scoring system yields scale scores that range from 0 (lowest quality of life) to 100 (highest quality of life), identical to the procedure for scoring the Medical Outcome Survey 36-item short-form health survey (SF-36) quality-of-life measure (21– 21).

As it is not known which of the multiple haplotype inferences are best supported by the given unphased data set, we use a bootstrapping procedure that allows for scoring of alternative inferences.

This procedure is an alternative for scoring HER-2 status in human breast cancer.

On the following day (test session), rats were placed back into the cylinder for 5 min. A 5-s sampling procedure [ 13] was utilized for scoring the behaviors (i.e., immobility, climbing, and swimming).

Unfortunately this model showed very poor calibration performance, although this result may be partly due to the limitations of the HL test or the recalibration procedure for score models with discrete outputs.