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- Scott White, Padhraic Smyth
- KDD
- 2003

Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis---examples include social networks, Web graphs, telecommunication networks, and biological networks. In interactive analysis of such data a natural query is "which entities are most important in the network relative to a… (More)

- Joshua O’Madadhain, Danyel Fisher, Padhraic Smyth, Scott White, Yan-Biao Boey
- 2005

The JUNG (Java Universal Network/Graph) Framework is a free, open-source software library that provides a common and extendible language for the manipulation, analysis, and visualization of data that can be represented as a graph or network. It is written in the Java programming language, allowing JUNG-based applications to make use of the extensive… (More)

Clustering nodes in a graph is a useful general technique in data mining of large network data sets. In this context, Newman and Girvan [9] recently proposed an objective function for graph clustering called the Q function which allows automatic selection of the number of clusters. Empirically, higher values of the Q function have been shown to correlate… (More)

- Scott White, Padhraic Smyth
- SDM
- 2005

Clustering nodes in a graph is a useful general technique in data mining of large network data sets. In this context, Newman and Girvan [9] recently proposed an objective function for graph clustering called the Q function which allows automatic selection of the number of clusters. Empirically, higher values of the Q function have been shown to correlate… (More)

- Eric Maltbie, Kshamta Bhatt, +9 authors Martin Styner
- NeuroImage
- 2012

Brain morphometric studies often incorporate comparative hemispheric asymmetry analyses of segmented brain structures. In this work, we present evidence that common user guided structural segmentation techniques exhibit strong left-right asymmetric biases and thus fundamentally influence any left-right asymmetry analyses. In this study, MRI scans from ten… (More)

- Virginia Byers Kraus, Sheng Feng, +10 authors H Cecil Charles
- Arthritis and rheumatism
- 2013

OBJECTIVE
To evaluate subchondral bone trabecular integrity (BTI) on radiographs as a predictor of knee osteoarthritis (OA) progression.
METHODS
Longitudinal (baseline, 12-month, and 24-month) knee radiographs were available for 60 female subjects with knee OA. OA progression was defined by 12- and 24-month changes in radiographic medial compartment… (More)

- Virginia Byers Kraus, Sheng Feng, +5 authors H Cecil Charles
- Arthritis and rheumatism
- 2009

OBJECTIVE
To evaluate the effectiveness of using subchondral bone texture observed on a radiograph taken at baseline to predict progression of knee osteoarthritis (OA) over a 3-year period.
METHODS
A total of 138 participants in the Prediction of Osteoarthritis Progression study were evaluated at baseline and after 3 years. Fractal signature analysis… (More)

- Michael Golden, Steve Hesley, +10 authors John Yong
- 1999

An out-of-order, three-way superscalar x86 microprocessor with a 15-stage pipeline, organized to allow 600MHz operation, can fetch, decode, and retire up to three x86 instructions per cycle to independent integer and floating-point schedulers. The schedulers can simultaneously dispatch up to nine operations to seven integer and three floating-point… (More)

- Steve Piscitelli, Joseph Kim, +7 authors Douglas Mayers
- British journal of clinical pharmacology
- 2012

AIM
To evaluate potential drug interactions with antiretroviral therapies or supportive therapies for use in conjunction with the once daily, next generation non-nucleoside reverse transcriptase inhibitor GSK2248761 in patients with HIV-1 infection.
METHODS
A series of phase I drug interaction studies was conducted.
RESULTS
GSK2248761 was shown to be a… (More)

- Gregory M. Caputo, PhD Mary Singer MD, Scott White, Michael R. Weitekamp
- Journal of General Internal Medicine
- 1993

Gram-positive cocci are becoming increasingly resistant to traditionally used antimicrobial agents.Staphylococcus aureus, coagulase-negative staphylococci, the enterococcus, andStreptococcus pneumoniae are the most commonly encountered of such pathogens in clinical practice. Clinicians should be keenly aware of the usual types of infections that are caused… (More)