Sentence examples for comprehensive significant from inspiring English sources
We could not find comprehensive significant dependencies in-between characteristics, between characteristics at five different locations or between the characteristics and the estimated load, which was calculated from 10-min values, measured by standard smart meters in the buildings.
Although the research conducted for this review was comprehensive, significant limitations exist.
Of the comprehensive significant entity list, 18.2% (64) differed in mRNA expression between Wa relative to Ws groups.
This focus decreased the number of mRNAs to 351 (3.7%) of all expressed entities on the array and will be referred to as the comprehensive significant entity list.
Of the comprehensive significant entity list, 233 (66.4%) and 207 (58.9%) mRNAs differed significantly between D and Wa and Ws, respectively.
In order to determine which physiological pathways differ between the domesticated and wild-type strains examined, functional pathways were assigned where possible to the comprehensive significant entity list (351 mRNAs) identified from all group comparisons.
Economically important species have long been collected in comprehensive, statistically significant sampling programs (see ECNASAP, NEFSC, and VIMS datasets); non-commercially important species should be dealt with similarly.
Here are three such conservative critiques: first, that Obamacare entrenches the very model of health care financingthat drove costs sky-high to begin with — a model in which every insurance plan has to be comprehensive, every significant payment is made by a third party, and consumers have no idea what their treatments actually cost.
Overall, to effectively block or mitigate such attacks, any threat prevention solution needs to be comprehensive without significant performance degradation.
Our study provides comprehensive and significant experimental and modeling insights into the crack growth behavior of superalloys under CCF loading.
Cluster ensemble approaches make use of a set of clustering solutions which are derived from different data sources to gain a more comprehensive and significant clustering result over conventional single clustering approaches.
