by proposing a predictive method with no adjustable parameter and by using infinite dilution activity coefficients of components in binary mixtures obtained from unifac model, the binary interaction parameters (k12) in van der waals mixing rule (vdwmr) and orbey-sandler mixing rule (osmr) have been evaluated. the predicted binary interaction parameters are used in peng-robinson-stryjek-vera equ...

One important function of the discussion forums of Massive Open Online Courses (MOOCs) is for students to post problems they are unable to resolve and receive help from their peers and instructors. There are a large proportion of threads that are not resolved to the satisfaction of the students for various reasons. In this paper, we attack this problem by firstly constructing a conceptual model...

BACKGROUND When indirect calorimetry is not available, predictive equations are used to estimate resing energy expenditure (REE). There is no consensus about which equation to use in hospitalized patients. The objective of this study is to examine the validity of REE predictive equations for underweight, normal weight, overweight, and obese inpatients and outpatients by comparison with indirect...

By proposing a predictive method with no adjustable parameter and by using infinite dilution activity coefficients of components in binary mixtures obtained from UNIFAC model, the binary interaction parameters (k12) in van der Waals mixing rule (vdWMR) and Orbey-Sandler mixing rule (OSMR) have been evaluated. The predicted binary interaction parameters are used in Peng-Robinson-S...

Abstract. We applied machine learning to improve the accuracy of present predictors wave setup. Namely, we used an evolutionary-based genetic programming model and a previously published dataset, which includes various beach conditions. Here, two new setup predictors: simple predictor, is function height, wavelength, foreshore slope, fitter, but more complex also sediment diameter. The results ...

OBJECTIVES This study aims to develop and validate a predictive body composition equation in elderly men. METHODOLOGY Correlational study using a sample of 85 men with 69.5±5,8 years from Vitoria, Brazil. The sample was divided in two groups: the regression group (n=54) was used to develop the predictive equation and a validation group (n=31). The following measurements: skinfolds (S), bone d...