In our discussion of linear models relating rCBF to design factors and gCBF, we have not considered the computational problems of simultaneously fitting the model for thousands of voxels.32 Viewing the problem from a multivariate perspective provides efficient computation, and offers some insight into the problem. In this section we demonstrate the relationship between the simultaneous general ...

Several adaptive order statistic filters (OSF) are developed and compared for channel characterization and noise suppression in images and 3-D CT data. Emphasis has been put on the situation when a noise-free reference image is not available but instead we can have a sequence of two noisy versions of the same image (or a 3-D data slice). One of the noisy images is used as the reference in the O...

The Framingham Heart Study dataset used for the analyses was obtained from the National Center for Biotechnology Information database of genotypes and phenotypes (NCBI dbGaP) through accession number phs000128.v3.p3. ABSTRACT Family-based study design is commonly used in genetic research. It has many ideal features, including being robust to population stratification (PS). With the advance of h...

Family-based study design is commonly used in genetic research. It has many ideal features, including being robust to population stratification (PS). With the advance of high-throughput technologies and ever-decreasing genotyping cost, it has become common for family studies to examine a large number of variants for their associations with disease phenotypes. The yield from the analysis of thes...

Foreground subtraction is the biggest challenge for future redshifted 21 cm observations to probe reionization. We use a short GMRT observation at 153MHz to characterize the statistical properties of the background radiation across ∼ 1◦ to sub-arcminutes angular scales, and across a frequency band of 5MHz with 62.5 kHz resolution. The statistic we use is the visibility correlation function, or ...

Abstract: Bagging is a device intended for reducing the prediction error of learning algorithms. In its simplest form, bagging draws bootstrap samples from the training sample, applies the learning algorithm to each bootstrap sample, and then averages the resulting prediction rules. More generally, the resample size M may be different from the original sample size N , and resampling can be done...

radiology and imaging data of patient is the main and the most important data of the patient. not only it shows disease of patient, but also it is included of the body geometry such as 2d and 3d. gathering and saving of radiology images and data for different patients can be useful for future statistic studies. many questions like, how to, why, in which and etc can be answered by statistic meth...

The article deals with the history of diagnostics in dermatovenerology on Medical Faculty in Prague from 1875 to 1910. Medical Reports of General Hospital in Prague from those years were used as the source of data. Three dermatologic and venereal diagnoses from years 1875, 1881, 1885, 1890, 1895, 1899, 1906 and 1910 were used for a statistic comparison. The article also contains short descripti...