successful disease management requires a rapid and sensitive diagnosis method that can recognize early infection even before the manifestation of its clinical signs. the only available field diagnostic tests for foot-and-mouth disease (fmd) are lateral flow devices, commonly known as chromatographic strips. low sensitivity and inability to detect fmd virus (fmdv) at the serotype level are limit...

Compared to the conventional methods, Artificial Neural Networks (ANN) are considered to be one of the reliable tools for modeling of complex phenomena such as demand. Aim of this study is to provide a model for gasoline demand in transportation section of Tehran metropolis through multilayered perceptron neural network and using the presented model in analyzing the sensitivity of the model to ...

The intention of this paper is to evaluate the sensitivity of the Storm Water Management Model (SWMM) output to its input parameters. A global parameter sensitivity analysis is conducted in order to determine which parameters mostly affect the model simulation results. Two different methods of sensitivity analysis are applied in this study. The first one is the partial rank correlation coeffici...

BACKGROUND Most insulin autoantibody assays for both human and animal models are in a radioassay format utilizing (125)I-insulin, but despite the radioassay format international workshops have documented difficulty in standardization between laboratories. There is thus a need for simpler assay formats that do not utilize radioactivity, yet retain the high specificity and sensitivity of radioass...

All solid state batteries are claimed to be the next-generation battery system, in view of their safety accompanied by high energy densities. A new advanced, multiscale compatible, and fully three dimensional model for electrolytes is presented this note. The response electrolyte profoundly studied theoretically numerically, analyzing equilibrium steady behaviors, limiting factors, as well most...

Bagging is one of the most effective computationally intensive procedures to improve on unstable estimators or classifiers, useful especially for high dimensional data set problems. Here we formalize the notion of instability and derive theoretical results to analyze the variance reduction effect of bagging (or variants thereof) in mainly hard decision problems, which include estimation after t...

Breast cancer (BC) in young women is that has developed aged less than 40 years. Purpose of this study was to compare the overall diagnostic performance CESM and digital mammography (DM) detecting breast under The group included 75 patients. When analyzing data obtained, all indicators effectiveness statistically significantly exceeded DM data. Thus, due ability assess vascularization, characte...

The human cone visual system maintains sensitivity over a broad range of illumination, from below 1 troland to 1,000,000 trolands. While the cone photoreceptors themselves are an important locus for sensitivity regulation-or light adaptation-the degree to which they contribute in primates remains unclear. To determine the range of sensitivity regulation in the outer retina, the temporal dynamic...

There is currently great interest in building information mediators that can integrate information from multiple data sources such as database systems or Web sources. An issue in building information mediators is how to make them responsive given the high response time for retrieving data from the data sources being integrated, which are databases or Web servers residing remotely. We present an...