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Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Computational Network Analysis Of The Anatomical And Genetic Organizations In The Mouse Brain, Shuiwang Ji
Computational Network Analysis Of The Anatomical And Genetic Organizations In The Mouse Brain, Shuiwang Ji
Computer Science Faculty Publications
Motivation: The mammalian central nervous system (CNS) generates high-level behavior and cognitive functions. Elucidating the anatomical and genetic organizations in the CNS is a key step toward understanding the functional brain circuitry. The CNS contains an enormous number of cell types, each with unique gene expression patterns. Therefore, it is of central importance to capture the spatial expression patterns in the brain. Currently, genome-wide atlas of spatial expression patterns in the mouse brain has been made available, and the data are in the form of aligned 3D data arrays. The sheer volume and complexity of these data pose significant challenges …
Vehicular Ad Hoc Networks, Syed R. Rizvi, Stephan Olariu, Christina M. Oinotti, Shaharuddin Salleh, Mona E. Rizvi, Zainab Zaidi
Vehicular Ad Hoc Networks, Syed R. Rizvi, Stephan Olariu, Christina M. Oinotti, Shaharuddin Salleh, Mona E. Rizvi, Zainab Zaidi
Computer Science Faculty Publications
(First paragraph) Vehicular ad hoc networks (VANETs) have recently been proposed as one of the promising ad hoc networking techniques that can provide both drivers and passengers with a safe and enjoyable driving experience. VANETs can be used for many applications with vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. In the United States, motor vehicle traffic crashes are the leading cause of death for all motorists between two and thirty-four years of age. In 2009, the National Highway Traffic Safety Administration (NHTSA) reported that 33,808 people were killed in motor vehicle traffic crashes. The US Department of Transportation (US-DOT) estimates that …
From Isotropic To Anisotropic Side Chain Representations: Comparison Of Three Models For Residue Contact Estimation, Weitao Sun, Jing He
From Isotropic To Anisotropic Side Chain Representations: Comparison Of Three Models For Residue Contact Estimation, Weitao Sun, Jing He
Computer Science Faculty Publications
The criterion to determine residue contact is a fundamental problem in deriving knowledge-based mean-force potential energy calculations for protein structures. A frequently used criterion is to require the side chain center-to-center distance or the C-alpha-to-C-alpha atom distance to be within a pre-determined cutoff distance. However, the spatially anisotropic nature of the side chain determines that it is challenging to identify the contact pairs. This study compares three side chain contact models: the Atom Distance criteria (ADC) model, the Isotropic Sphere Side chain (ISS) model and the Anisotropic Ellipsoid Side chain (AES) model using 424 high resolution protein structures in the …
User Experiments Of A Social, Faceted Multimedia Classification System, Liuliu Fu, Kurt Maly, Elizabeth Rasnick, Harris Wu, Mohammad Zubair
User Experiments Of A Social, Faceted Multimedia Classification System, Liuliu Fu, Kurt Maly, Elizabeth Rasnick, Harris Wu, Mohammad Zubair
Computer Science Faculty Publications
Internet document sharing systems such as Flickr store billions of user-contributed images. Many collections on the Web contain large numbers of multimedia objects such as images. While such systems are designed to encourage user contributions and sharing, they are not well-organized collections on any given subject and are not easy to browse for specific subject matters. We have built a system that systematically organizes a large multimedia collection into an evolving faceted classification. This paper discusses the evaluation of such a system through a number of usage studies in a university setting.
Multitissue Tetrahedral Image-To-Mesh Conversion With Guaranteed Quality And Fidelity, Andrey N. Chernikov, Nikos P. Chrisochoides
Multitissue Tetrahedral Image-To-Mesh Conversion With Guaranteed Quality And Fidelity, Andrey N. Chernikov, Nikos P. Chrisochoides
Computer Science Faculty Publications
We present a novel algorithm for tetrahedral image-to-mesh conversion which allows for guaranteed bounds on the smallest dihedral angle and on the distance between the boundaries of the mesh and the boundaries of the tissues. The algorithm produces a small number of mesh elements that comply with these bounds. We also describe and evaluate our implementation of the proposed algorithm that is compatible in performance with a state-of-the art Delaunay code, but in addition solves the small dihedral angle problem. Read More: http://epubs.siam.org/doi/10.1137/100815256