Sentence examples for group extraction from inspiring English sources

Table 1 Population sample Group Extraction strategy Number of cases 1 4/ 30 2 4/1 20 3 4/4 30 4 4/5 30.

A group extraction or 'commons' game was used to explore how rules, formal and informal, emerge and how individual behavior responds to regulatory mechanisms aimed at solving the dilemma.

The tailored intervention towards the GPs in the peer CME groups will include two educational outreach visits by one Rx-PAD, discussions within the peer CME group, extraction of prescription data, audit and individual feedback reports, as well as a one day work-shop with all participants, in order to facilitate reflections on personal prescription patterns.

The differences in FM severity, control groups, extraction procedures, and lack of sufficient CSF to identify precise peptides by HPLC [ 20] made it difficult to compare these sets of divergent results.

More in details, the expression-profile-encoding phase is composed of the following steps: (i) conversion of BAM file to BED file of normalized tag expressions, (ii) block and block groups extraction, (iii) statistics extraction for each block and block group, (iv) discretization of the statistics, (v) graph encoding of the block group and of the associated discretized statistics.

This might be attributed to retroclination of maxillary incisors during treatment selection in the non-surgical group—namely, extraction of premolars to mask the discrepancy.

Chiang Rai Governor Narongsak Osottanakorn said on Thursday that rescuers were preparing a five km (three miles) "oxygen pipeline" as part of preparations for the group's extraction but added that the boys would not be coming out soon.

Statistical representations of Fos-positive neuron positions were built according to the following steps: a) spatial normalization of the individual three-dimensional models, b) computation of one statistical NTS neuron density map per experimental group, c) extraction of isodensity surfaces.

Strictly speaking, dimension reduction algorithms can be categorized into two groups: feature extraction and feature selection.

They fall into two main groups: the extraction of certain strata of sediment, and the extraction of fluids from pores, leaving the strata intact.

Using the generated distance matrix, an analysis of molecular variance (AMOVA) was used to determine if the observed differences in microbial diversity between sample groups or extraction methods was significantly different (Schloss2008; Schloss and Handelsman2008).