Evaluation of particle–anti-particle scaled correlation within effective models

Scaled steady state models for effective on-line applications

Applications for on-line data reconciliation and optimization must be efficient and numerically robust. The models in these applications are rarely changed and the same optimization problem is solved thousands of times with only minor changes in the parameters. This paper describes a suitable modeling framework for this type of applications that, with the aim of simplifying the creation of new ...

Effective Factors of Child Abuse within Family

Aim(s): Child abuse is a common crime and it is caused by multiple individual and environmental factors that are combined. It increases the likelihood of this type of social harm. The aim of this study was to investigate the effective factors of child abuse within family. Participants & Methods: In this study, qualitative method and in-depth interviews with experts were used and by analyzing t...

Scaled random segmental models

We present the concept of a scaled random segmental model, which aims to overcome the modeling problem created by the fact that segment realizations of the same phonetic unit di er in length. In the scaled model the variance of the random mean trajectory is inversely proportional to the segment length. The scaled model enables a Baum-Welch type parameter reestimation, unlike the previously sugg...

Scaled density functional theory correlation functionals.

We show that a simple one-parameter scaling of the dynamical correlation energy estimated by the density functional theory (DFT) correlation functionals helps increase the overall accuracy for several local and nonlocal functionals. The approach taken here has been described as the "scaled dynamical correlation" (SDC) method [Ramachandran, J. Phys. Chem. A 2006, 110, 396], and its justification...

Scaled Models for Nucleation ∗ Barbara