Associations between two variables, for instance between brain and behavioral measurements, are often studied using correlations, and in particular Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones. These problems are exacerbated in brain imaging by a widespread lack of control for multiple comparisons, and several i...

In this paper we present a method of abrupt cut detection with a novel logic of frames’ comparison. Actual frame is compared with its motion estimated prediction instead of comparison with successive frame. Four different similarity metrics were employed to estimate the resemblance of compared frames. Obtained results were evaluated by standard used measures of test accuracy and compared with e...

Three main approaches on how audio signals can be used as input to a deep learning model are: extracting hand-crafted features from signals, mapping into appropriate images such spectrogram-like ones, and using directly raw signals. Among these approaches, the usage of represents compromise regarding bias enforced by processing (seen in features) computational demands signals). When any is inpu...

Objective: The aim of present study was to find the effect of cholesterol level on platelet aggregability in normal individuals. Methodology: This study was conducted in Cardiology department, Lady Reading Hospital, Peshawar in SeptemberOctober 2007. Normal individuals aged 18 years or above were randomly included. Patients who were suffering from any cardiovascular or other diseases were exclu...

Reconstruction of broken fragments is an extremely difficult task, mainly due to the high probability of missing pieces and the likelihood of erosion. This process is tedious and requires many hours to complete even for the experienced archaeologist. This paper describes some of the most successful fragment reconstruction algorithms and presents a new technique for reassembly. The technique rel...

The Pearson correlation coefficient, ρ (rho), is a popular statistic for describing the strength of the relationship between two variables. It is the slope of the regression line between two variables when both variables have been standardized by subtracting their means and dividing by their standard deviations. The correlation ranges between plus and minus one. The population correlation ρ is ...

with rapid development in information gathering technologies and access to large amounts of data, we always require methods for data analyzing and extracting useful information from large raw dataset and data mining is an important method for solving this problem. clustering analysis as the most commonly used function of data mining, has attracted many researchers in computer science. because o...

MOTIVATION Characterizing the diversity of microbial communities and understanding the environmental factors that influence community diversity are central tenets of microbial ecology. The development and application of cultivation independent molecular tools has allowed for rapid surveying of microbial community composition at unprecedented resolutions and frequencies. There is a growing need ...