Sentence examples for for the 1st evaluation from inspiring English sources

The concordance rates between the students and echocardiographers in the subjective analysis of LV function were 81.3% at the first evaluation, 96.9% at the second evaluation and 100% at the third evaluation (p < 0.001 for the 1st evaluation vs. the 3rd evaluation).

For the 2D evaluation, the expectation-maximization-algorithm (EM algorithm; Ester and Sander, 2000) has been tested for the application presented in this work.

Case notes were processed and audited with the same procedures and criteria used for the SPI1 evaluation.

Methods were the same as those used for the evaluation of SPI1, 1 with a sample of 850 staff members per site, except that a further two new relevant survey questions, not available for the SPI1 evaluation, were included.

Table 4 shows that on average, for the 10 evaluation items, a third of respondents strongly agreed or agreed that the goals of the study had been achieved, with 10.5% disagreeing or strongly disagreeing.

Thus, a discretionary approximation that conveniently explains the biological context has to be made (e.g., for the Δsnf1Δsnf4 evaluation, low levels of glucose in a carbon-limited chemostat were approximated by a situation of absence of glucose).

The agreement between two raters for the 38 evaluations of IWS-based DSM-V criteria was concordant in 90.1% of cases.

The success of this first evaluation [44] encouraged us to organize a new QbE STD evaluation for the ALBAYZIN 2014 Evaluation campaign aiming at evaluating the progress in this technology for Spanish.

where N is the number of words in the test and here N=214465 for the Aurora-2 evaluation task [37].

This effect was partially solved by reconfiguring the parallelization settings: the number of reducers was increased to 60 and the redundancy of the low-complexity seeds was increased to 24 for the 48-core evaluation, 144 and 72 for the 72-core evaluation and 196 and 72 for the 96-core evaluation.

For the SPINE-2 evaluation, a class N-gram language model is trained from the training data text.