We present a method to study mean-field stationary diffusion (MFSD) in polymer systems. When gradients in chemical potentials vanish, our method reduces to the Scheutjens-Fleer self-consistent field (SF-SCF) method for inhomogeneous polymer systems in equilibrium. To illustrate the concept of our MFSD method, we studied stationary diffusion between two different bulk mixtures, containing, for s...

Several questions are being raised regarding the accuracy of the methods of diagnosis and reporting of various clinical parameters according to Ayurveda in recent times. Uniformity in reporting, issues related to inter-rater variability, uniformity in applying statistical tests, reliability, consistency, and validation of various tools, - are some of the major concerns that are being voiced. Dh...

Limited previous experience with the mean value total dressing ~MVTD! method had shown that MVTD energies for closed shell systems are generally better than CCSD~T! ones compared to FCI. The method, previously published as total dressing 28(td-28), is based on the single reference intermediate Hamiltonian theory. It is not a CC method but deals in a great part with the same physical effects tha...

Biometrics is a proper way of identifying human beings based on certain physiological characteristics and behavioral characteristics. Some of the physiological characteristics are fingerprint, face, DNA and iris. Some of the useful behavioral traits are gait and voice. But ear biometrics has recently emerged as a new area in biometrics. A great possibility for use of human ears for identificati...

Moving object detection is low-level, important task for any visual surveillance system. One of the aim of this project is to, to describe various approaches of moving object detection such as background subtraction, temporal difference. A statistical mean technique is used to overcome the problem in previous techniques. We propose a modified statistical mean technique with noise removing proce...

[1] The amplitude of the El Niño-Southern Oscillation (ENSO) is known to fluctuate in long records derived from observations and general circulation models (GCMs), even when driven by constant external forcings. This involves an interaction between the ENSO cycle and the background mean state, which affects the climatological precipitation over the eastern equatorial Pacific. The changes in cli...

An increasing number of experimental studies employ single particle tracking to probe the physical environment in complex systems. We here propose and discuss what we believe are new methods to analyze the time series of the particle traces, in particular, for subdiffusion phenomena. We discuss the statistical properties of mean maximal excursions (MMEs), i.e., the maximal distance covered by a...

In this paper, we deal with hypothesis testing for unknown parameters. A new method is proposed based on a combination of the computational approach test and maximum likelihood estimation (CAT-MLE), introduced by [7]. The CAT-MLE does not require any knowledge of the sampling distribution. It depends heavily on numerical computational and Monte-Carlo simulation study. To illustrate the methodol...

In this paper we explore the use of an equation of motion decoupling method as an impurity solver to be used in conjunction with the dynamical mean field self-consistency condition for the solution of lattice models. We benchmark the impurity solver against exact diagonalization, and apply the method to study the infinite U Hubbard model, the periodic Anderson model and the pd model. This simpl...