Sentence examples for aim data from inspiring English sources
Rationale for the experiment Preliminary data/proof of principle Experimental approaches and their alternatives Reconfiguring/jettisoning an aim Data interpretation.
Aim: data analysis emerging from 10 years experience of Daphne protocol utilization for the management of sexual assault victims.
At this aim, data mining techniques were used to analyze the data relative to the 254,575 crashes involving PTWs occurred in Italy in the period 2006 2008.
Given their data-hungry nature, common regression tree − based modeling approaches may be inadequate for reliably predicting rangeland indicators with the smaller sample sizes of AIM data than typically used for remote sensing studies.
Current literature suggests that Bayesian models, such as Bayesian additive regression trees (BART), may provide a suitable alternative to traditional regression tree − based modeling approaches to overcome the sample size limitation of the AIM data.
To this aim, data obtained through the proposed brushstroke extraction and characterization method were cross-compared to visual observations by using the metrics on orientation, length, and width derived from [10] and reported in Section 5. Results for each of the three metrics above are illustrated in Tables 1, 2 and 3, respectively.
A summary of the aim, design, data collected and participants across the five phases is outlined in Table 1.
Population structure was evident in the inter-individual variation in admixture proportions, the admixture LD between unlinked AIMs (data not shown), and the excess association of AIMs with disease (over the expected 5% positive results).
In cases where individual data sets lack sufficient power to address study aims, data from multiple sites may be pooled; 4) Where pooling is planned, the application must include procedures for combining data.
By rating hospitals on objective data, it aims to spur underperforming hospitals to improve.
The aim of data visualization is to leverage NASA World Wind to visualize input data, results, sensors and geoprocessing services.
