Sentence examples for between models based on from inspiring English sources

However, there still remain a lot of technical issues that are related to inconsistencies between models based on different physics.

The ability of ISO 11948-1 (the Rothwell method) to predict the leakage performance of disposable bodyworn pads for heavy urinary incontinence was investigated by measuring correlations between models based on clinical evaluations of 138 diapers and inserts (the two major design categories), and technical models based on their Rothwell absorption capacities and design features.

Furthermore, there appeared to be no notable difference between models based on 20 and 40 codes.

Since we have combined multiple models in a single ontology, we can ask for connections between models based on connections between the biological phenomena they represent.

The objective of this study is to compare the accuracy of predicting hospital mortality in patients with haematological malignancies admitted to the ICU between models based on multiple logistic regression (MLR) and support vector machine (SVM) based models.

Several authors have pointed out that there is a gap between models based on what is known about effective treatment, and the implementation of effective routine clinical practice [ 26- 28].

The mutual information (MI) between the models based on one of the three selected secondary data sources was on average 0.376, varying from 0.174 to 0.607 for the 10 training data sets and indicating certain degree of independence between these sources.

Significantly, despite a large overlap between the clostridial models, significant functional differences are manifest between the models based on a relatively small number of reaction discrepancies.

Statistical validation shows that there are no significant differences between 3D models based on CT and MRI data.

Differences in performance between the models based on raw VAS data and the models based on transformed data were also very small.

The largest proportion of patients to change risk stratification group was between prognostic models based on GCM3 and on WT (n = 73, 17.1%).