Sentence examples for common strings from inspiring English sources

Therefore, we can detect similar strings by detecting chains of common strings systematically.

From the records matched to each syndrome, 2000 were selected; the 1000 most common strings and an additional 1000 strings at random.

Typographical errors are often not located at the beginning of the string, but rather in its body; According to the authors, a similarity of less than 0.7 means two different strings and more than 0.95 means two similar strings (common strings exhibit a rate of 1).

Regardless of these methodological incongruences, the detection by Thode et al. (1996) of a far greater quantity of short common strings in real protein pairs than in shuffled ones, parallels the results presented in Figure 3. Therefore, it is justifiable to believe that even words of k = 6 may be mostly due to something other than random coincidence.

Vocabulary: arsenal, correlate, perceive, swatting, synthetic, consumers, innovations, durable, elite, intuition, premium, recreational, profound, chronic, anecdotal, hybrid, pendulum, novelty, troubadours, vogue Extension Activities: 1. Develop one or more experiments to compare the strength and durability of two different kinds of common string: nylon, cotton, hemp, or other.

The common string-of-beads aspect is well known, but less common presentations also have to be considered.

In this paper, we introduce the maximum duo-preservation string mapping problem (MPSM), which is complementary to the minimum common string partition problem (MCSP).

The second parallel level is made from the connection of each string box output to the DC input of the centralized inverter smart string boxes measure each string current and the common string voltage.

The second is the DataCite DOI associated with the prefix 10.11469 as registered to Imperial College, with individual entries prefixed with the common string ch / to indicate the chemistry department at that institution.

That common string keeping us together as creatures has gone from being so very inclusive to constantly being cut, separating us based on age, race, gender and now social economic class.

Bunescu and Mooney (2005) developed a machine learning approach that explores a sequence kernel measuring the similarity of two sentences by evaluating the common string sequences that they contain.