Sentence examples for parallel generation from inspiring English sources
Or as Anna Oltman, 21, a senior at Franklin & Marshall College, said about her semester in Egypt: "For better or worse, and certainly not unintentionally, 9/11 linked our generation of Americans with its parallel generation of Middle Easterners.
The technology is hindered by the high cost, consumption of chemicals, and parallel generation of toxic wastes which are severe challenges today.
They claimed that their parallel generation phase could be accomplished in time O((n/8)2) and in space O(2n/4) with O(2n/8) processors.
Random number generation is a key component of many forms of simulation, and fast parallel generation is particularly important for the naturally parallel Monte Carlo simulations that are used extensively in computational finance and many areas of computational science and engineering.
In parallel (generation 0 to 8), the average coefficient of kinship among the young bulls and among the entire population increased to 8.1%and6.9%9%, respectively.
Recent modular procedures based on the ligation of segments provide the best overall yields.[ 5a, b] However, the modular character introduces extensive purification procudures, thus making the procedures unsuitable for the automated parallel generation of reagents.
Prior to this, Holden stated they would manufacture two parallel generations of Commodores until the new station wagon and utility body styles were launched.
Given massively parallel second generation sequencing technologies [ 1- 3], huge collection of data are being generated for a wide diversity of regulatory elements genome-wide (such as transcription factors, epigenetic marks, genetic variants, DNaseI hypersensitivity, and transcriptomes).
The active scaffolds were further explored by a parallel library generation in order to establish SAR.
In this paper, we use the open source GIS toolkit to implement a parallel contour generation algorithm.
This methodology is a user-centred design approach consisting of four main steps: requirement analysis, parallel corpus generation, technology adaptation to the new domain, and finally, system evaluation.
