Sentence examples for for global evolution from inspiring English sources

This technology is known as EDGE, for enhanced data rate for global evolution.

enhance data rates for global evolution.

Centralized adaptive mechanisms for global evolution control are included both adaptive solidarity mechanisms and international regimes.

Instead, Europe's wireless telcos are trying to keep customers and operators worldwide in their camp by cobbling together costly TDMA-based interim solutions the so-called general packet radio service (GPRS) and enhanced data rates for global evolution (EDGE) technologies and are even trying to write the W-CDMA standard as differently as possible from CDMA2000.

Recently, some designs based on polarization are researched and developed [24 31], such as polar modulation in the enhance data rates for global evolution (EDGE) system focusing on overcoming the problems of high power consumption, low efficiency, excessive heat and short battery life due to the requirement of linear power amplifier when adopting 3 π 8 -8PSK modulation technique.

Thus, the acquisition of these and other markers or their combinations could be beneficial for global evolution of influenza A(H1N1 pdm09 viruses.

Although methodological and data challenges remain, the integration of phylogenetic, biogeographic, macroecological and diversification studies across numerous tropical rain forest-restricted lineages represents our best hope for understanding the global evolution and ecology of the tropical rain forest biome.

Before analyzing evolutionary patterns specifically associated with Sxl recruitment, we tested for global patterns of neutral evolution and positive selection along all branches of the tree (Test 1, see Methods).

320, L55 L59], by exploring a wider set of initial conditions and disk parameters, and by using a new hydrodynamical code that properly describes for the global viscous evolution of the disk.

Based on all these, a novel effective evolution algorithm for global optimization is proposed and its convergence is proved.

We compared our Pareto frontier search algorithm with the following algorithms: (i) NSGA-II [49] which is a genetic-based multi-objective optimization algorithm, (ii) GDE3 [50], an algorithm that extends the Pareto differential evolution method for global optimization, and (iii) Starfish [20] which uses the Recursive Random Search RRSS) [27] algorithm for detecting appropriate solutions.