This article describes the SRI24 atlas, a new standard reference system of normal human brain anatomy, that was created using template-free population registration of high-resolution magnetic resonance images acquired at 3T in a group of 24 normal control subjects. The atlas comprises anatomical channels (T1, T2, and proton density weighted), diffusion-related channels (fractional anisotropy, m...

Over the last few years, there has been a dramatic increase in the use of cDNA microarrays to monitor gene expression changes in biological systems. Data from these experiments are usually transformed into expression ratios between experimental samples and a common reference sample for subsequent data analysis. The accuracy of this critical transformation depends on two major parameters: the si...

Small nucleolar RNAs (snoRNAs) have been used for normalization in glomerular microRNA (miRNA) quantification without confirmation of validity. Our aim was to identify glomerular reference miRNAs in IgA nephropathy. We compared miRNAs in human paraffin-embedded renal biopsies from patients with cellular-crescentic IgA-GN (n = 5; crescentic IgA-GN) and non-crescentic IgA-GN (n = 5; IgA-GN) to mi...

A blind dereverberation method based on spectral subtraction using a multi-channel least mean squares algorithm was previously proposed. The results of a large vocabulary continuous speech recognition task showed that this method achieved significant improvements over the conventional method based on cepstral mean normalization and beamforming in a simulated reverberant environment without addi...

Normalization as a layer within neural networks has over the years demonstrated its effectiveness in network optimization across wide range of different tasks, with one most successful approaches being that batch normalization. The consensus is better estimates BatchNorm normalization statistics (μ and σ2) each mini-batch result optimization. In this work, we challenge belief experiment new var...

In this paper we describe and evaluate a series of new algorithms that compensate for the effects of unknown acoustical environments (or changes in environment) through the use of compensation vectors that are added to the cepstral representations of speech that is input to a speech recognition system. These compensation vectors are obtained from direct frame-by-frame comparisons of the cepstra...

In this study, we investigated the effects of changes in formant structure of externally presented speech signals on participants’ auditory perception of their own speech output (i.e., feedback) during a word production task. The study involved a novel combination of two previously established research paradigms: (1) sensorimotor adaptation to altered auditory feedback during speech, and (2) ex...

The purpose of this investigation was to determine if phase plot normalization and phase angle definitions would have an affect on continuous relative phase calculations. A subject ran on a treadmill while sagittal plane kinematic data were collected with a high-speed (180 Hz) camera. Segmental angular displacements and velocities were used to create phase plots, and examine the coordination be...

Wide differences in publication and citation practices makes impossible the direct comparison of raw citation counts across scientific disciplines. Recent research has studied new and traditional normalization procedures aimed at suppressing as much as possible these disproportions in citation numbers among scientific domains. Using the recently introduced IDCP (Inequality due to Differences in...

Normalization of brain images is a crucial step in MRI data analysis, especially when dealing with abnormal brains. Although cost function masking (CFM) appears to successfully solve this problem and seems to be necessary for patients with chronic stroke lesions, this procedure is very time consuming. The present study sought to find viable, fully automated alternatives to cost function masking...