Sentence examples for models identified that from inspiring English sources

The multiple regression models identified that the mothers who had previous breastfeeding experiences were more satisfied with the service than mothers with no previous breastfeeding experiences.

Univariate Cox proportional hazards models identified that many of the signatures with the strongest associations for brain (and lung) relapse were either expressed in normal brain and/or have been identified as essential components of embryonic stem cells and tumor initiating cells [ 26, 27] (Supplemental Table 4).

There has been no animal model identified that resembles the disease in human beings.

Outcome from the model identified that Procurement group has highest impact on construction waste generation with path coefficient value of 1.188.

Our spatial regression model identified that over a 10-year period, lion depredation tended to increase (β = −0.10, P < .0001) in villages near GPA, though the spatial configuration of depredations was patchy.

Our GO-based modeling identified that the percentage of proteins involved in translation in GV oocytes is twice as high as in cumulus cells and this is consistent with other's data showing that GV oocytes are transcriptionally and translationally active and also that proteins synthesized in this stage might be crucial to achieve maturation and successful subsequent development [19], [47].

The hierarchical model identified that 2 isoforms of NADH dehydrogenases had important roles in the cytotoxicity of the FFA.

The path model identified that the JS dimensions, financial and non-financial rewards, professional identity, nature of job and relationship with peers and co-workers, affect ITS also.

Further studies using the MST1 deficient mouse model identified that the role of the up-regulated MST1 kinase was to promote the development of muscle atrophy, rather than functions as an adaptive mechanism to prevent rapid loss of muscle mass.

Importantly, varying the proportion of mutant actin in this mouse model identified that disease severity correlated with the ratio of mutant to wild-type protein, suggesting a dominant negative action for ACTA1D286G [ 41].

A group of models was identified that is sufficiently robust to be used for prediction purpose.