Comprehensively analyzing the gene prediction results from three ab initio gene prediction programs FGENESH, GENEMARK.HMM and GENSCAN+, 3,440 gene models were predicted.
Quadratic models were predicted for LAB yield in the upper phase.
Multiaxial fatigue lives using the Fatemi Socie and the Smith Watson Topper models were predicted.
Quadratic models were predicted for the response variable, i.e. pollutant removal, and the maximum model-predicted removals were 56, 100, 33 and 32% for COD, TP, color and aromatocity, respectively.
Quadratic models were predicted for the responses purification factor in the top phase and XR yield in the top phase (YT), and the maximum values predicted by these models were 1.59±0.40 and 105.8±26.2%, respectively.
Quadratic models were predicted for the response variables, i.e., pollutant removals, and the maximum values predicted were 64%, 88%, 48%and39%9% for COD, TP, color and aromaticity, respectively.
Early in 2011, computer models were predicting a Niño, albeit a weak one.
The models were predicting the trace compounds, even under dynamical conditions.
Ab initio gene models are predicted using the computational gene prediction programs: GeneMarkS [50], Glimmer3 [51], MetaGene [52], Zcurve [53], GISMO [54], and Genewise [55].
Characteristic fatigue damage of the selected joints for different models is predicted and compared.
Specific volume of different amorphous polymeric models is predicted using NPT-MD simulations as a function of temperature.
