new statistic based models provide a wide area of prediction equipments for different science areas. among these fields biology have just entered the contest of interdisciplinary sciences. drug discovery is a long and expensive process which could be decreased with theoretical approaches. in this study, 500 reported assayed anti cancer molecules were extracted from science direct articles, sket...

background:growth is one of the most important indices in child health. the best and most effective way to investigate child health is measuring the physical growth indices such as weight, height and head circumference. among these measures, weight growth is the simplest and the most effective way to determine child growth status. weight trend at a given age is the result of cumulative growth e...

In this note, we describe a variant of dynamic causal modelling for evoked responses as measured with electroencephalography or magnetoencephalography (EEG and MEG). We depart from equivalent current dipole formulations of DCM, and extend it to provide spatiotemporal source estimates that are spatially distributed. The spatial model is based upon neural-field equations that model neuronal activ...

The purpose of this paper is to present the development of a simple turbulence representation suitable for helicopter dynamic simulation, stability and performance analysis, as well as pilot-in-the-loop rotorcraft handling qualities assessment. The frozen field hypothesis and linear approximation are assumed. Components of the uniform field velocity are included as additive perturbations affect...

In image processing, a static texture is defined as an image showing spatial stationarity, while A dynamic texture is a sequence of images characterized by temporal as well as spatial stationary nature. Dynamic Texture synthesis is the process of producing artificial Dynamic textures starting from a given sample texture. Videos representing flames, water, smoke, etc. are often defined as dynami...

The computation required for a switching Kalman Filter (SKF) increases exponentially with the number of system operation modes. In this paper, computationally tractable graph representation is proposed linear dynamic (SLDS) along solution minimum-sum optimization problem clustering to reduce mode cardinality offline, before collecting measurements. It shown that upon perfect detection, induced ...