This suggests that flat films can exhibit an emission mechanism akin to carbon nanotubes, thus confirming the presence of conductive channels within the films for nanoclustered amorphous carbon films. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3610514]“
“Purpose: To develop a new automated filtering technique and to evaluate its ability to compensate for the known low contrast-to-noise ratio (CNR) in dynamic contrast material-enhanced (DCE) magnetic resonance (MR) and computed tomographic (CT) data, without substantial loss of information.

Materials and Methods: Clinical data acquisition for this study was approved by the institutional review board. Principal component analysis (PCA) was

combined with the fraction of residual information (FRI) criterion to optimize the balance between noise reduction efficiency Screening Library and information conservation. The PCA FRI filter was evaluated in 15 DCE MR imaging data sets and 15 DCE CT data sets by two radiologists who performed visual analysis and quantitative assessment of noise reduction after filtering.

Results: Visual evaluation revealed a substantial noise reduction while conserving information in 90% of MR imaging

cases and 87% of CT cases for image analysis and in 93% of MR imaging cases and 90% of CT cases for signal analysis. Efficient denoising enabled improvement in structure characterization in 60% of MR imaging cases and 77% of CT cases. After PFTα chemical structure filtering, CNR was improved by 2.06 +/- 0.89 for MR imaging (P < .01) and by 5.72 +/- 4.82 for CT (P < .01).

Conclusion: This PCA FRI filter demonstrates noise reduction efficiency and information conservation for both DCE MR data and

DCE CT data. FRI analysis enabled automated optimization of the parameters for the PCA filter and provided an optional visual control of residual information losses. The robust and fast PCA FRI filter may improve qualitative or quantitative analysis of DCE imaging in a clinical context. (C)RSNA, 2010 Supplemental material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100231/-/DC1″
“Deposition of intramuscular JNJ-26481585 fat, or “”marbling,”" in beef cattle contributes significantly to meat quality variables, including juiciness, flavor, and tenderness. The accumulation of intramuscular fat is largely influenced by the genetic background of cattle, as well as their age and nutrition. To identify genes that can be used as early biomarkers for the prediction of marbling capacity, we studied the muscle transcriptome of 2 cattle crossbreeds with contrasting intramuscular fat content. The transcriptomes of marbling LM tissue of heifers from Wagyu x Hereford (W x H; n = 6) and Piedmontese x Hereford (P x H; n = 7) crosses were profiled by using a combination of complementary DNA microarray and quantitative reverse transcription-PCR. Five biopsies of LM were taken from each animal at approximately 3, 7, 12, 20, and 25 mo from birth.