Sentence examples for diverse windows from inspiring English sources

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Of course, that does nothing to diminish Apple's tear in the device space, but it does increase the delta between their aggregate volumes, and could forestall Apple's overtaking of Microsoft's diverse Windows platform for a short spell.

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The spectral data of diverse window glasses have thus been measured in solar spectrum range of 300-2500 nm.

As shown in Fig.  4, we vary the number of monitoring nodes m with diverse window unit size w to demonstrate the efficiency and scalability of our resolution algorithm by using synthetic dataset.

Furthermore, the final predictive system must be suitable for being installed in corporate computing facilities using diverse platforms (Windows, Linux, etc).

Such investigations will also aid the development of novel protein-based materials, as these hydrophobic peptides and self-assembling fibrils are attractive targets for biotechnology [13], [14] with proposed applications as diverse as window coatings, emulsifiers in consumer products such as ice cream [15] and fibrous materials and scaffolds.

The "One Microsoft" strategy would seek to bring together diverse areas such as Windows, Windows Phone, Xbox, Surface, Office 365 and others.

The availability of PM measurements from past years and the use of diverse lag-time windows will allow to investigate both long- and short-term exposure effects.

The biggest chunk, $6.3 billion, will be distributed by the Energy Department in grants to state and local governments, which can spend the money on things as diverse as thicker window panes for state capitols and rebates for homeowners who change their light bulbs.

The students' diverse objects provide intimate windows on these cultures, and in the process, show how understanding the very substance of diversity actually reveals a more concrete sense of our shared New York and American identity.

We trained a series of SVM classifiers employing Bayes Feature Extraction to predict cleavage sites using sequence windows of diverse lengths and compositions.

We trained a series of support vector machines (SVM) classifiers employing Bayes Feature Extraction to predict cleavage sites using sequence windows of diverse lengths and compositions.

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