Sentence examples for very general data from inspiring English sources

Therefore, there is a need for a very general data structure to handle various type of incoming data.

This could result in a spurious association between ADHD symptoms and QoL and leaves both measures open to undue influence by parent characteristics: other than the very general data from the ADORE study mentioned above [ 68], we are unaware of any studies that have investigated the effect of parental mental health on measures of their child's QoL.

In (1) both the data and location are referred to in a highly specific manner [i.e. 'the sequence of labA' and 'DDBJ/GenBank/EMBL databases (accession no AB281186)'], whereas in (2) data and deposition location are both very general ('the microarray data' and 'MIAMExpress'MIAMExpress

This is a very general and flexible data structure, which we used for all data in the Rheology package.

Although this data mining approach is quite sufficient to uncover reasonable information from the selected data set, the results remain at very general level as source data does not contain other accident related information such as the speed of vehicle at the time of accident, weather information, road surface condition.

Data should play more of a role than it does currently The term data is very general, but what I'm looking for in data is insight and understanding.

While the internet is replete with great websites containing plenty of salary data, that information is often very general.

The model employed for this evaluation has been previously validated for isolated drops by using microgravity data, and is very general: it contains Soret and Dufour effects, does not assume mass transfer quasi-steadiness at the drop boundary, or necessarily the existence of a drop surface (i.e., phase discontinuity).

We propose a solution to assess the dependence of calibration on the expected probability, by fitting the observed data with a very general calibration function, and plotting the corresponding curve.

Still, some very general techniques for aggregation of genomic data have been proposed such as the Bayesian networks (Troyanskaya et al., 2003) and the Kernel methods (Bie et al., 2007).

I could predict rain in a very general way but I was fascinated by the data I was gathering.