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Based on the calculations using the developed models, we predict that a post heat treatment at 1090 °C for 3500s will homogenize the boride phase distribution in the DAZ, thus increasing the strength of the brazing joint.
Finally, using sequence-threaded homology models, we predict and validate key residues essential for Fan1 activity in ICL repair.
Using the parameters estimates of the models we predict the log-ratio of RRR and RRSR as well as RRSR for sample sizes between 100,000 and 500,000 individuals and the number of SNPs between 100,000 and 500,000.
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To show the different predictions from these models we predicted the change in body weight during total starvation for an obese 100 kg, 1.64 m tall female aged 35 (BMI=35.2).
To explore how normalization would affect the performance of the two models, we predicted target concentrations using GLAM, but beginning with the quantile normalized signal intensities used by Abdueva et al. [4] (Figure S1).
Using the first two weekly models, we predicted dengue incidence three and four weeks in advance, respectively.
From these models, we predicted WB from DBS values of 4%, 77 %, 7.5 % and 10%% and in addition, obtained 95%% prediction intervals for all days.
In Cox regression models, we predicted sickness absences over an average 5.4 years follow-up, with adjustment for confounders, anxiety and depression and other somatic symptoms.
Second step of standardization for sampling conditions: Using the estimated parameters of the measurement models, we predicted the concentrations that would have been observed assuming that all samples had been collected under the same standard conditions.
Using this model, we predict the total logistics values for years 2010-2015.
Using the developed model, we predict the load drop during cyclic fatigue testing of the two chosen alloys.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com