a multiple linear regression model is proposed to calculate capacity factor of  analytes using structural features computed using hyperchem software. the  chemical descriptors of analytes were computed using hyperchem software and  regressed against the experimental capacity factors of analytes collected from the  literature. the absolute average percentage deviation (aard) and individual perce...

background: identification of disease risk factors can help in the prevention of diseases. in assessing the predictive value of continuous variables, a routine procedure is to categorize the factors. this yield to inability to detect non‑linear relationship, if exist. multivariate fractional polynomial (mfp) modeling is a flexible method to reveal non‑linear associations. we aim to demonstrate ...

background: forecasting of air pollutants has become a popular topic of environmental research today. for this purpose, the artificial neural network (aan) technique is widely used as a reliable method for forecasting air pollutants in urban areas. on the other hand, the evolutionary polynomial regression (epr) model has recently been used as a forecasting tool in some environmental issues. in ...

the potential and performance of various gram-negative, gram-positive and archaeal wild type microorganisms, and bacterial mixed cultures, as well as the application of genetically engineered strains as whole-cell biocatalysts for glycerol-based polyhydroxyalkanoate production are analyzed and assessed. this encompasses the comparison of growth and polyhydroxyalkanoate accumulation kinetics, th...

there are some ambiguities about the status of women in islam, andthis paper studies exemplary women in the holy koran by content analysis, referringto valid interpretations. its basic questions include: koran’s method in introducingmodels, gender roles in koran, and koran’s criteria and modeling principles aboutexemplary women. the findings demonstrate that the koran has acted very preciselyto...

object detection plays an important role in successfulness of a wide range ofapplications that involve images as input data. in this paper we have presented anew approach for background modeling by nonconsecutive frames differencing.direction and velocity of moving objects have been extracted in order to get anappropriate sequence of frames to perform frame subtraction. stationary parts ofbackg...

steady state and dynamic fermentations of baker's yeast in molasses based media were analyzed in a laboratory scale bioreactor. sugar and biomass balances together with the monod biokinetics were used to develop the process model. parameters of the model were obtained using collected experimental data. model predicted open loop responses to step changes in feed concentration as well as dilution...

overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. in this study, two novel prediction models for overtaking behavior are proposed. these models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (manfis). they are validated at microscopic level and are able to simulate and predict the future...

a common problem arising in project management is the fact that the baseline schedule is often disrupted during the project execution because of uncertain parameters. as a result, project managers are often unable to meet the deadline time of the milestones. robust project scheduling is an effective approach in case of uncertainty. upon adopting this approach, schedules are protected against po...

heat transfer mechanisms and the solidification process are simulated for a continuous casting machine and the geometric shape of the liquid pool is predicted considering different conditions. a heat transfer and solidification model is described for the continuous casting of steel slabs. the model has been established on the basis of the technical conditions of the slab caster in the continuou...