UNLABELLED PCOAT (Positional COrrelation Analysis Tool) is a program to perform positional correlation analysis for protein multiple sequence alignment in order to identify structurally or functionally important interactions between positions in a protein family. We implement different statistical methods to detect highly correlated position pairs, amino acid pairs, individual positions and net...

High-frequency backscatter radio systems operate in the backscatter channel, a channel whose envelope probability density function (PDF) and bit-error-rate (BER) performance are strongly affected by the relationship between small-scale fading in the reader-to-tag and tag-to-reader propagation links – i.e., link correlation. This paper shows that backscatter radio systems using co-located reader...

We describe a new method for characterizing particles in turbid media by cross correlating the scattered intensity fluctuations at two nearby points in the far field. The cross-correlation function selectively emphasizes single scattering over multiple scattering. The usual dynamic light-scattering capability of inferring particle size from decay rate is thus extended to samples that are so tur...

Psychophysical reverse-correlation methods such as the "classification image" technique provide a unique tool to uncover the internal representations and decision strategies of individual participants in perceptual tasks. Over the past 30 years, these techniques have gained increasing popularity among both visual and auditory psychophysicists. However, thus far, principled applications of the p...

A (d-parameter) basic nilsequence is a sequence of the form ψ(n) = f(ax), n ∈ Z, where x is a point of a compact nilmanifold X, a is a translation on X, and f ∈ C(X); a nilsequence is a uniform limit of basic nilsequences. If X = G/Γ be a compact nilmanifold, Y is a subnilmanifold of X, (g(n))n∈Zd is a polynomial sequence in G, and f ∈ C(X), we show that the sequence φ(n) = R g(n)Y f is the sum...

We review a new method of performing Canonical Correlation Analysis (CCA) with Artificial Neural Networks. We have previously [5, 4] compared its capabilities with standard statistical methods on simple data sets where the maximum correlations are given by linear filters. In this paper, we extend the method by implementing a very precise set of constraints which allow multiple correlations to b...

Multiple-object input to the recently introduced phase-extraction correlator may cause difficulties owing to interference effects. Similar effects have been observed previously in the nonlinear joint transform correlator. It is shown theoretically and by computer simulations that these effects are seldom observable in practice, and even then they can be substantially reduced by employing a prop...

Well log correlation is an important step in geophysical interpretation, but as the number of wells increases, so does the complexity of the correlation process. We propose a new method for automatic and simultaneous well log correlation that provides a globally optimal alignment of all logs, and in addition, is relatively insensitive to large measurement errors common in well logs. First, for ...

background: the method of evaluation in students’ learning affects their studying mode. the aim of this study was to compare nursing students’ scores in essay and multiple-choice questions in mother and child health examination in shahrekord university of medical sciences. methods: in this study, the  final scores of 121 of nursing students in a multiple-choice questionnaire consisting of 40 qu...