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Engineering Commons

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2019

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Medicine and Health Sciences

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University of Nevada, Las Vegas

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Enhancement Of Viable Adipose-Derived Stem Cells In Lipoaspirate By Buffering Tumescent With Sodium Bicarbonate, Ashish Francis Md, Wei Z. Wang Md, Joshua J. Goldman Md, Xin-Hua Fang Mt, Shelley J. Williams Ms, Richard C. Baynosa Md; Facs Mar 2019

Enhancement Of Viable Adipose-Derived Stem Cells In Lipoaspirate By Buffering Tumescent With Sodium Bicarbonate, Ashish Francis Md, Wei Z. Wang Md, Joshua J. Goldman Md, Xin-Hua Fang Mt, Shelley J. Williams Ms, Richard C. Baynosa Md; Facs

School of Medicine Faculty Publications

Background: Fat grafting is a growing field within plastic surgery. Adipose-derived stem cells (ASCs) and stromal vascular fracture (SVF) may have a role in fat graft survival. Our group previously demonstrated a detrimental effect on ASC survival by the lidocaine used in tumescent solution. Sodium bicarbonate (SB) buffers the acidity of lidocaine. The purpose of this study was to determine whether SB buffering is a practical method to reduce ASC and SVF apoptosis and necrosis seen with common lidocaine-containing tumescent solution. Methods: Human patients undergoing bilateral liposuction for any indication were included in this study. An internally controlled, split-body design ...


Two-Stage Bagging Pruning For Reducing The Ensemble Size And Improving The Classification Performance, Hua Zhang, Yujie Song, Bo Jiang, Bi Chen, Guogen Shan Jan 2019

Two-Stage Bagging Pruning For Reducing The Ensemble Size And Improving The Classification Performance, Hua Zhang, Yujie Song, Bo Jiang, Bi Chen, Guogen Shan

Environmental & Occupational Health Faculty Publications

Ensemble methods, such as the traditional bagging algorithm, can usually improve the performance of a single classifier. However, they usually require large storage space as well as relatively time-consuming predictions. Many approaches were developed to reduce the ensemble size and improve the classification performance by pruning the traditional bagging algorithms. In this article, we proposed a two-stage strategy to prune the traditional bagging algorithm by combining two simple approaches: accuracy-based pruning (AP) and distance-based pruning (DP). These two methods, as well as their two combinations, “AP+DP” and “DP+AP” as the two-stage pruning strategy, were all examined. Comparing with ...