uncertainty analysis is a useful tool to evaluate soil water simulations in order to get more information about the models output. these information provide more confidence for decision making processes. in this study, swap model is applied for soil water balance simulations in two fields which are planted by wheat and maize in an arid region. first the amount of uncertainty is estimated and co...

Oral Bioavailability is the rate and extent to which an active drug substance is absorbed and becomes available to the general circulation. A computational model for the prediction of oral bioavailability is a vital initial step in the drug discovery. It is decisive for selecting the promising compounds for the next level optimizations and recognition for the clinical trials. In the present inv...

in this research genetic and phenotypic parameters were estimated using linear and threshold models, for reproductive traits, data from 6 large industrial dairy herd of east azerbaijan province collected by agriculture jihad organization during 10 years (2001-2010). best linear unbiased predictions of traits breeding values were estimated using restricted maximum likelihood method by wombat sof...

Alfalfa hay plays a decisive role in the quality and safety of livestock products. Chemical analytical methods for alfalfa hays are laborious, time-consuming, costly. Therefore, suitable required rapid accurate detection hay. This study evaluated feasibility infrared spectroscopy (IR) identifying different hays. 105 samples under three drying were analysed. Results indicated that full spectra m...

Using data sourced from 15 periglacial debris flow gullies in the Parlung Zangbo Basin of southeast Tibet, importance 26 potential indicators to development flows was analyzed quantitatively. Three machine learning approaches combined with borderline resampling technique were introduced for predicting occurrences, and several scenarios tested compared. The results indicated that temperature pre...

Background: Regarding the increased risk of developing type 2 diabetes in pre-diabetic people, identifying pre-diabetes and determining of its risk factors seems so necessary. In this study, it is aimed to compare ordinary logistic regression and robust logistic regression models in modeling pre-diabetes risk factors. Methods: This is a cross-sectional study and conducted on 6460 people, over ...

analysis and prediction of structural response to static or dynamic loading requires prediction of concrete response tovariable load histories. the constitutive equations for the mechanical behavior of concrete capable of seeing damage effects or crack growth procedure under loading/unloading/reloading was developed upon micro-plane framework. the proposed damage formulation has been built on t...

The performance prediction of axial flow compressors at different speeds and under various pressure ratio conditions are still being developed because of costly empirical experiments. One-dimensional modeling is a simple, fast and accurate method for performance prediction in any type of compressor with different geometries. In this approach, inlet flow conditions and compressor geometry are kn...

understanding the implication of genotype-by-environment interaction (gei) and improving stability of crop yield in a target production environment is important in plant breeding. in this research, we used the ammi (additive main effects and multiplicative interaction) model to identify the stable genotype(s) by predictive accuracy of yield data. results of this study indicated that the fgh tes...