A new protocol (Ortiz et al. 2016), currently underway, aims to use non-linear techniques to study mood variability in patients with mood disorders to predict high-risk times for the onset of episodes.
The pressure loss in the intake valve is considered a disturbance of the ideal cylinder filling dynamics, which is estimated using non-linear optimization techniques.
A large data set, comprising of 129 crude oil samples of different varieties and geographical origins, is compiled from the existing literature for the calibration of the model, using non-linear regression techniques.
The measured output required for an effective closed-loop system is provided through calorimetric measurements of the overall monomer conversion, and both the number of moles of monomer and the total number of radicals in the polymer particles are estimated using non-linear observation techniques.
This study demonstrates the feasibility of an expert system that predicts the actual time course of a new cART as the estimate of time to virologic failure, and the reliability of the system's predictions can be improved both by including additional covariates besides the viral genotype and by using non-linear regression techniques.
The equilibrium data were fitted to the Langmuir and Freundlich isotherm models using non-linear regression technique.
The equilibrium constants K F and n were calculated using non-linear regression technique of Eq. 4 and presented in Table 5.
The equilibrium parameters were estimated by correlating the equilibrium equations with data from equilibrium experiments using non-linear regression technique (i.e., fminsearch function from MATLAB).
This paper treats the dynamic response and energy absorption of aluminum foam-filled conical tubes under axial impact loading using non-linear finite element techniques.
Using non-linear machine learning techniques, we generated robust multi-omic signatures that predict cellular response to 17-AAG, AZD0530, AZD6244, Erlotinib, Lapatinib, Nultin-3, Paclitaxel, PD0325901, PD0332991, PF02341066, and PLX4720.
The objective function is optimized using non-linear, multi-resolution optimization techniques.
