The artificial neural networks (ANN) are the learning algorithms and mathematical models, which mimic the information processing ability of human brain and can be used to non linear and complex data. The aim of this study was to compare artificial neural network and regression models for prediction of body weight in Raini Cashmere goat. The data of 1389 goats for body weight, height at withers ...

Nutrition may affect clinical outcomes in critically ill patients, and providing either more or fewer calories than the patient needs can adversely affect outcomes. Calorie need fluctuates substantially over the course of critical illness, and nutrition delivery is often influenced by: the risk of refeeding syndrome; a hypocaloric feeding regimen; lack of feeding access; intolerance of feeding;...

BACKGROUND This study was designed to develop a prediction algorithm that would allow the Previous Day Physical Activity Recall (PDPAR) to be equated with temporally matched data from an accelerometer. METHODS Participants (n = 121) from a large, school-based intervention wore a validated accelerometer and completed the PDPAR for 3 consecutive days. Physical activity estimates were obtained f...

BACKGROUND Obesity has been identified as an important risk factor in the development of cardiovascular diseases; however, other factors, combined or not with obesity, can influence cardiovascular risk and should be considered in cardiovascular risk stratification in pediatrics. OBJECTIVE To analyze the association between anthropometry measures and cardiovascular risk factors, to investigate...

A new model to calculate heat eddy diffusivity in separating and reattaching flows based on modification of constant Prt is proposed. This modification is made using an empirical correlation between maximum Nusselt number and entrance Reynolds number. The model includes both the simplicity of Prt=0.9 assumption and the accuracy of two-equation heat-transfer models. Furthermore, an appropriate l...

Alkanolamine solutions such as 2-amino-2-methyl-1-propanol (AMP) are widely used in chemical industries for the removal of acid gases such as CO2 and H2S. In this work, the density of CO2, AMP, water, and AMP solutions using the Goharshadi–Morsali–Abbaspour Equation of State “GMA EoS” in the extended 50-degree range of temperatures (313.06-362.65 K) and pressures (0.5-40 MPa) was calculated. Th...

A prediction scheme for spatio-temporal time series is presented that is based on reconstructed local states. As a numerical example the ev olution of a Kuramoto-Siv ashinsky equation is forecasted using previously sampled data.

The problem is considered of estimating a signal based on measurements with multiple packet dropouts when the probability of data arrival at a processing unit is known. Assuming that the equation which describes the signal is unknown, we derive recursive algorithms for the prediction, filtering and smoothing problems using the information provided by the covariance functions of the processes in...

To devise a physics-based model through the use of analytical, numerical, physical, and thought experiments for the prediction of flow-induced unsteady forces on bluff bodies immersed in timedependent flows. The new model is expected to replace the Morison equation (hereafter called the MOJS equation) and offer greater universality, particularly in the inertia/drag regime, in calculating forces...

We consider a sequence of repeated prediction games and formally pass to the limit. The supersolutions of the resulting non-linear parabolic partial differential equation are closely related to the potential functions in the sense of N.Cesa-Bianci, G. Lugosi (2003). Any such supersolution gives an upper bound for forecaster’s regret and suggests a potentialbased prediction strategy, satisfying ...