PURPOSE Opioid-based intravenous patient-controlled analgesia (IV-PCA) is a popular method of postoperative analgesia, but many patients suffer from PCA-related complications. We hypothesized that PCA was not essential in patients undergoing major abdominal surgery by minimal invasive approach. METHODS Between February 2013 and August 2013, 297 patients undergoing laparoscopic surgery for col...

Iron is an essential element in the construction materials for fission and fusion reactors. Due to its complexity, evaluation of iron cross sections continues represent a challenge international nuclear data community. A comprehensive validation any new (and computational procedure) against experimental benchmarks therefore needed. The shielding benchmark database SINBAD includes relatively num...

BACKGROUND Postoperative delirium is relatively common. However, the relationship between intravenous patient-controlled analgesia (IV-PCA) and delirium has not been thoroughly investigated. The aim of this study was to evaluate the effects of IV-PCA on the prognosis of postoperative delirium in patients undergoing orthopedic surgery. METHODS Medical records of 129 patients with postoperative...

Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many other algorithms such as EM (expectation-maximization), ANN (artificial neural network), probabilistic models, statistic analyses, etc., and has its own development such as MPCA (moving PCA), MS-PCA (multi-scale PCA), etc...

Crop leaf disease management and control pose significant impact on enhancement in yield quality to fulfill consumer needs. For smart agriculture, an intelligent identification system is inevitable for efficient crop health monitoring. In this view, a novel approach proposed using feature fusion PCA-LDA classification (FF-PCA-LDA). Handcrafted hybrid deep features are extracted from RGB images....

Principal components analysis (PCA) is a popular descriptive multivariate method for handling quantitative data. In PCA of a mixture of quantitative and qualitative data, it requires quantification of qualitative data to obtain optimal scaling data and use ordinary PCA. The extended PCA including such quantification is called nonlinear PCA, see Gifi [Gifi, 1990]. The existing algorithms for non...