Sentence examples for which assessed that from inspiring English sources

Exact(1)

Indeed, supporting data have been reported by Brix and colleagues, which assessed that the prevalence of skewed XCI in female twins affected with AITDs was 34% but only 11% in controls (P = 0.003) and by Yin and colleagues (P = 0.004) [ 12- 14].

Similar(59)

Moreover, the American administration's call for the Muslim Brotherhood to respect democracy does not serve to pressure the Islamist group, which assesses that Washington's leverage on Egyptian domestic politics is limited and that repeated calls for the Obama administration to put conditions on U.S. civilian and military foreign assistance to Egypt are unlikely to materialize.

Firstly, authenticity, which assesses that the evidence is genuine and of unquestionable origin.

Figure 10 shows all the "depth" and "reference" raw time-resolved signals acquired for S1D2. Figure 10(a) shows that all the measured references are superimposed, which assesses that no major drift was observed during the whole experiment.

As a measure of the robustness of each node, we used an approximate Likelihood Ratio Test (aLRT), which assesses that the branch being studied provides a significant likelihood gain, in comparison with the null hypothesis that involves collapsing the branch under study but leaving the rest of the tree topology unaffected [ 64].

In the present study, eight of the questions, which assessed symptoms that can occur after intubation, were used.

A retrospective survey reported high rates of discrepancies between free-text and check-off fields on e-prescriptions, of which investigators assessed that 16% of discrepancies could lead to hospital admission or death [ 67] (Additional file 13: Table S13).

They completed questionnaires, which assessed for factors that could interfere with endogenous serotonin levels (dietary information, medication history, and smoking).

All subjects were given a routine visual examination in which it was assessed that clear vision of the stimulus screen would be obtained.

In our multivariable logistic regression, we controlled for the four baseline risk factors that were included in the Inouye prediction rule, which assessed the baseline risk factors that best predicted delirium incidence amongst a cohort of hospitalized elderly medical patients [ 11].

The output of the SFA model, which assessed productivity and efficiency, showed that the sign for number of beds, number of doctors, number of nurses, and number of non-medical staff is positive.

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