Sentence examples for discrepancy of training from inspiring English sources

Apart from the obvious discrepancy of training costs, the greatest differences observed are in the categories of medication and consumables, and investigations.> The 10-year absolute risk reductions of CVDs potentially offered by the capitation intervention were projected by using the UKDPS risk engine (Table  4).

There are several possible explanations for this discrepancy: The level of training of medical doctors who performed SCM may have differed between programme clinics and referral clinics.

In the novel + hint sentence production task, this discrepancy yielded a significant interaction of training method and Rhyme&Melody training mode.

The proposed method aims at not only compensating for an acoustic mismatch between training and test environments but also reducing the two fundamental limitations of the conventional histogram equalization method, the discrepancy between the phonetic distributions of training and test speech data, and the nonmonotonic transformation caused by the acoustic mismatch.

Other areas of perceived discrepancy between training and practice included: manager role (set up of an office), health advocate (counseling for prevention, for example smoking cessation), and professional (end of life issues, ethics).

Although the face-selective region defined at the group vs. individual levels overlapped considerably (coordinates: 40, −44, −18 vs. 38.9, −43.4, −14.6; see Supporting Information S1), the discrepancy of results reveals that the training effect associated with individuation training and configural processing is not strongest in the most face-selective voxels for each individual.

The length of training shows a discrepancy accordingly, 70 (41.4%) of them received training for three months whereas 23 (13.6%) for six months, 21 (12.5%) for nine months and the rest 55 (32.5%) were received training for two weeks only.

Abrupt removal of the discrepancy after training induces reaching error in the direction opposite to the original discrepancy, which is called an aftereffect.

Looking at each literature's methods carefully, we found that such discrepancy was mainly due to different sampling of training data.

We also assessed for patterns of discrepancies by CHW gender, education, and date of training.

The causes of this discrepancy were attributed to technical factors and to the degree of training in the evaluation of MR images.