Background and objectives: Bacterial antibiotic resistance is a major issue in the process of infectious disease treatments. The aim of this study was an evaluation of the antibacterial activity of Punica granatum flower extract against several gram-negative and positive clinical bacterial isolates.   Methods: An adequate dried flower of an endemic mature Punica granatum plant was used for ex...

Man's progress toward what we consider enlightenment and culture has come through the refinements of analytical discrimination. Though civilization, even in western Europe and America, is of romantic origin, successful thinking is predominantly analytic. Religion is a romantic emotion, but theology, like every other branch of learning is analytic, and the differentiating catechisms of the Chris...

This thesis is concerned with uid motion analysis in image sequences and involves two main issues.In a rst part, we address the problem of estimating a dense motion eld. Due to the great deal ofspatial and temporal distortions that luminance patterns exhibit in uid imagery, standard techniquesfrom Computer Vision, originally designed for quasi-rigid motions with stable salient f...

The author alters the definitions of ellipses and hyperbolas by using a line point not on as foci, instead two points. He develops resulting prototypical diagrams from both synthetic analytic perspectives, well making use technology.

abstract financial and electronic debts are one of the important issues in iran's financial scope that are considered by economists due to their role in creating financial instabilities. therefore, a model was represented in this survey to evaluate and rank financial and electronic debts in iran including foreign debts, governmental debts, non-governmental debts and banking debts during th...

Abstract. The paper presents analytic and stochastic methods of structure parameters estimation for a model selection problem. Structure parameters are covariance matrices of parameters of linear and non-linear regression models. To optimize model parameters and structure parameters we maximize a model evidence, a convolution of a data likelihood with a prior distribution of model parameters. T...

A class of locally analytic transcendental functions suitable for nonlinear adaptive filtering and neural network filtering is proposed. Since the stringent standard analyticity conditions prevent full exploitation of nonlinear quaternionic models, we make use of local analyticity conditions to provide a framework for a generic extension of nonlinear learning algorithms from the real and comple...

At least since W. V. O. Quine’s famous critique of the analytic synthetic distinction, philosophers have been deeply divided over whether there are any analytic truths. One line of thought suggests that the simple fact that people have ‘intuitions of analyticity’ might provide an independent argument for analyticities. If defenders of analyticity can explain these intuitions and opponents canno...

Loglinear modeling methods have become quite straightforward to apply to discrete data X. A good-fitting loglinear model can be used to generate synthetic copies of X1, ..., Xn of X that preserve analytic properties but may allow reidentification of small cells. With fitting algorithms that use more general convex constraints and are designed to deal with missing data, we are able to disperse t...