Sentence examples for content datasets from inspiring English sources

Table 1 More detailed description on the content datasets Dataset Text objects Pictures Avg.

We have applied BHIT to both simulation datasets and experimental soybean oil/protein content datasets, and we were able to obtain high accuracy and reliable results on both datasets.

Using a comprehensive, real-time user-generated content dataset, as well as software programs, including Matlab, ArcGIS, NVivo and Octopus Collector, 27,613 photographs were coded, translated, combined, reconstructed and analyzed via spatial and content analysis.

Despite these limitations, we suggest that mechanism-focused data-driven analyses based on time-varying, high-content datasets will serve to generate hypotheses regarding the induction and propagation of inflammation, and eventually yield insights into novel therapies.

Herein, have sought to link two classes of studies, namely data-driven, pattern-oriented analyses of high-content datasets [27], [28], [29], [30] and mechanism-based computational modeling [17], [18], [19], [21], in order to gain quantitative, mechanistic insights into the complexity of acute inflammation [31], [32], [33].

The comparisons revealed a strong overlap between the drought and sucrose-content datasets and a limited overlap with ABA signaling.

Combining the molecular and stomach contents datasets required standardization of some prey categories owing to taxonomic resolution inconsistencies between methods.

The overlap between genes/proteins within a functional category and the components of a high-content dataset identified as meaningfully altered can be given a p-value based on the likelihood of this overlap happening by random chance (see below).

However, the heterogeneity and complexity of the geospatial processes, which can potentially modify part or the complete content of datasets, make evident the necessity for describing geospatial provenance at dataset, feature and attribute levels.

In this paper, the temporal ionospheric time delay variations were studied based on the Empirical Orthogonal Function (EOF) analysis and wavelet transforms (WT .These analyses were carried out with Total Electron Content (TEC) datasets obtained from three GNSS stations located in low-latitude regions.

An enriched, detailed SAR analysis produced a scaffold that summarises the chemical content of datasets better than any standard substructure.