Only a tiny fraction of the data and metadata produced by an fMRI study is finally conveyed to the community. This lack of transparency not only hinders the reproducibility of neuroimaging results but also impairs future meta-analyses. In this work we introduce NIDM-Results, a format specification providing a machine-readable description of neuroimaging statistical results along with key image ...

We present a data set collected since 2012 containing children’s EEG signals logged during their usage of Project LISTEN’s Reading Tutor. We also present EEG-ML, an integrated machine learning toolkit to preprocess EEG data, extract and select features, train and cross-validate classifiers to predict behavioral labels, and analyze their statistical reliability. To illustrate, we describe and ev...

Face is having unique identity amongst all other biometric traits. Face recognition is performed using 2D and 3D facial data. 3D face recognition has many advantages over 2D Face recognition. This paper represents the 3D Face recognition challenges while processing the data captured using 3D face scanners. The performance of state-of-art, Face recognition system is affected due to pose, illumin...

Glioblastoma multiforme (GBM) is a grade IV glioma with a median survival of 15 months. Recently, bone morphogenetic protein (BMP) signaling has been shown to promote survival in xenograft murine models. To gain a better understanding of the role of BMP signaling in human GBMs, we examined the genomic alterations of 90 genes associated with BMP signaling in GBM patient samples. We completed thi...

An important factor influencing the pace of research activity is the ability of researchers to discover and leverage heterogeneous resources. Usually, researcher profiles, laboratory equipment, data samples, clinical trials, and other research resources are stored in heterogeneous datasets in large organizations. Emergent semantic web technologies provide novel approaches to discover, annotate ...

The ever-increasing capacity of biological molecular data acquisition outpaces our ability to understand the meaningful relationships between molecules in a cell. Multiple databases were developed to store and organize these molecular data. However, emerging fundamental questions about concerted functions of these molecules in hierarchical cellular networks are poorly addressed. Here we review ...

Forced alignment would enable phonetic analyses of child directed speech (CDS) corpora which have existing transcriptions. But existing alignment systems are inaccurate due to the atypical phonetics of CDS. We adapt a Kaldi forced alignment system to CDS by extending the dictionary and providing it with heuristically-derived hints for vowel locations. Using this system, we present a new time-al...

As an essential component for many autonomous driving and robotic activities such as ego-motion estimation, obstacle avoidance scene understanding, monocular depth estimation (MDE) has attracted great attention from the computer vision robotics communities. Over past decades, a large number of methods have been developed. To best our knowledge, however, there is not comprehensive survey MDE. Th...

The article presents University of Idaho - Physical Rehabilitation Movement Data (UI-PRMD) - a publically available data set of movements related to common exercises performed by patients in physical rehabilitation programs. For the data collection, 10 healthy subjects performed 10 repetitions of different physical therapy movements, with a Vicon optical tracker and a Microsoft Kinect sensor us...

Rectilinear k-centers of a finite point set P R2 are the centers of at most k congruent axis-parallel squares of minimal size whose union covers P. This paper describes a linear time algorithm based on the prune-and-search paradigm to compute rectilinear 3-centers. The algorithm is elementary in the sense that it does not build on any sophisticated data structures or other algorithms, except fo...