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For the present study, we developed and utilized a large subset of partially edited and augmented HMM profiles representing 37 C2H2 ZNF gene families within the bilaterian organisms and then used these profiles to predict gene family memberships from an extensive variety of 124 completely sequenced eukaryotic species.
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Moreover, reusing the decision logic of the standard BGP protocol aids in reducing the development and operational costs, hence shortening the time to market, and utilizing a large set of BGP extensions, particularly, in the security domain, that have been incorporated into BGP since its inception in 1989.
These oxido-reductase enzymes produce and utilize a large variety of secondary metabolites [ 22] which may trigger M. phaseolina to survive in a wide range of physical environments and facilitate to infect new plant species.
Another strength is the multidisciplinary research team that enabled us to approach the data from different perspectives and utilize a large variety of scientific expertise in the process of analysis.
In a recent report Bagshaw and colleagues utilized a large multicenter (120,123 patients, 57 ICUs) clinical database and found no statistically significant differences in terms of incidence of AKI and inhospital mortality by the RIFLE criteria or the AKIN criteria in the first 24 hours after admission [ 17].
In order to evaluate these disparate outcomes in survival by race in patients with SLE and those with ESRD, we utilized a large national database to define hazard ratios for mortality.
We utilized a large vitreous cyst to illustrate the technique.
This study also utilized a large sample size, allowing for ample statistical power.
This is driven by their environmental benefits and possibility to utilize a large component of recycled materials.
Ultimately, Dragon and Cerius2, which utilize a large number of diverse molecular descriptor values to describe each odor structure, performed better than AP or MCS, suggesting that a more diverse set of descriptors is better at explaining Or activity than two-dimensional measures alone.
Massive multi-input multi-output (MIMO) [1 3] is one of the key technologies in 5G, which can greatly boost the channel capacity, spectral efficiency, and connection density by utilizing a large number of antennas at the base station (BS).
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