Sentence examples for defined by the text from inspiring English sources

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The optimal keyboard design also depends on the distribution of character frequencies F i, which are defined by the text corpus that is appropriate for a given user.

GAD is defined, by the text revision of the fourth edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR), as excessive anxiety and worry about several events or activities for most days during at least at 6-month period.

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3.1 we present a simple use case, defined by the "Button-Text-Image" template, which will be worked out in the remaining subsections.

For each contig, identified by an ID and a preliminary description, the FASTA sequence is given, along with an informative contig description, which is defined by the Blast2GO natural language text mining functionality, applied to BLAST hits description.

For each contig, an ID is given together with the FASTA sequence and an informative description, which is defined by the Blast2GO natural language text mining functionality, related to the BLAST hits.

3. Normalization of text defined by the sliding window.

The recommendation trust vector is defined by the following: text{Trust_Vector}_{n}=left<P_{S1}^{XB}(t),P_{S2}^{XB}(t),ldots,P_{Sm}^{XB}(t)right> (4).

The security vector is defined by the following: textrm{Security_Vector}=<text{VE}_{1},ldotsVE}_{2},text{VE}_{nVE}_{n}> (1).

It has to be noted that the bit deviation from center is defined by the following equation: {text{eccentricity}} = frac{{{text{distance }};{text{between}}; {text{bit}};{text{and}};{text{bore}};{text{center}}}}{{{text{annulus }};{text{thickness}}}} (32).

The distribution coefficient (k d) values are defined by the following relation: k_{text{d}} = frac{{left[ {overline{{M^{n + } }} } right]}}{{left[ {M^{n + } } right]}}varvec (6).

Transmissibility coefficients representing the interaction between compartments in a particular layer have to be defined by the expressions shown below: {text{No}}., {text{of}}, {text{transmissibility}},{text{factors}}, n = mathop sum limits_{w = 1}^{w} w - 1 (1).

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