Sentence examples similar to seed text from inspiring English sources

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Consider the corresponding subplots of Figs. 12 and 13: despite using fewer seeds, (text {OAS}_{text {mg}}) performance is strong (and competitive with seeding based on perfect link information) across wide initial ranges of (p_{text {neg}}) values.

In that way it is Yahoo's way to play in the growing world of crowdsourced media, a strategy that AOL's Armstrong is pursuing aggressively with his launch of Seed (for text articles) and recent $36.5 million acquisition of StudioNow (for video).

Under traditional greedy seeding, or (text {OAS}_{text {tg}}), results in small-world networks were similar to (text {OAS}_{text {mg}}) though possible issues with overspending are observed in Fig. 5.

"Love, don't buy anymore with seeds," one text from Guzman said.

The presence of the N-terminal sequence (aminoacids 23 89) had no influence on the seeding effect (Text S1).

This complex world of Madras its dubashes, "black doctors," surgeons, and arsenics, its shifting dynamics and sovereignties, and its tributes of dried seeds and texts sent to Europe can thus inform us more about the researches and resources of Western science.

Note that for (tau =0.4) however, the budget for modified greedy (39 seeds) is much smaller than for traditional greedy (48 seeds), and yet (text {OAS}_{text {mg}}) remains competitive with perfect link-information seeding up to approximately (p_{text {neg}}=0.25), and massively outperforms (text {OAS}_{text {tg}}) across (p_{text {neg}}in [0, 0.6]).

Users were asked to plant digital seeds, written in text form, and cultivate a garden that would sit in their pocket.

(iii) Confidentiality: The main mode of our proposed protocol provides the high level of confidentiality in comparison with the previous methods that key seeds are transmitted in plain text during the key seed distribution, since every key seed is encrypted by different keys using 128 bits AES algorithm.

Using a combined bioinformatics approach involving seed matching, promoter analysis, text mining and ICA we identified miRNA regulatory networks.

The sibling duo behind the startup, John and Sarah Peterson, have bagged $540,000 in pre-seed funding for their text planner idea, after running a year-long public beta of the service in San Francisco.

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