Sentence examples for screening and classification from inspiring English sources

Using such isotherms appears to be very useful in fast screening and classification of various electroactive materials.

Within the laboratory studies, research is generally broken down into three types of activities: 1) collection, screening and classification of algae, 2) biochemical and physiological studies on lipid production, and 3) molecular biology and genetic engineering.

Figure 8 shows the block diagram of the proposed system for automatic screening and classification of the diabetic retinopathy and maculopathy in retinal images using fuzzy image processing techniques.

The Social Skills Improvement System-Rating Scales (SSIS-RS; Gresham & Elliott, 2008) are designed to assist in the screening and classification of students (aged 5 18 years) who are suspected of presenting with social skills deficits and to offer guidelines in the development of interventions to remediate those types of problems.

MSP offered an orthogonal and complementary approach [16], [17] to gene-based techniques used in previous CCD studies for pathogen screening and classification.

For instance, the maximum scoring function was found beneficial when detecting positive interactions in the GIM dataset (Table 5); however, in more general terms, there seems to be many subtypes of the alleviating interactions, the optimal separation of which may need more tailored screening and classification schemes.

These features allow a different approach to the diagnostic strategy for the detection of NCA-ANA, ANCA, and DNAAb, based on a two-step algorithm: the first stage, the screening of positive/negative and positive samples selection; the second stage, identification of specific antibodies for confirmation of screening results and classification of autoimmune diseases [33, 34].

We describe a new hierarchy of Categorical Decisions Structures that distinguishes between screening, discrimination, and classification modes.

A semi-standardized interview was applied before the procedure, with demographic, clinical and technical data, screening, characterization and classification [6] of previous headaches, angiographic findings and/or therapeutic results.

By preprocessing (screening, refining, and classification) the original data and statistical analysis, we establish some selected model, then we use A-D test to verify the degree of fitting in selected model so that we can determine the optimal failure distribution model, and then the reliability characteristic quantities could be calculated by the optimal failure distribution model.

The procedure and results of screening, recruitment, and classification of the study subjects are shown in the flowchart (Supplementary Fig. 1).