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...

Objective: To preliminarily assess the immune status of patients with prostate cancer through detecting various immune indexs and then analyse the relationship between immune status and clinical factors such as clinical stage, pathological classification and endocrine therapy. Methods: Flow cytometry was used to detect the percentage of CD4, CD8and NK cells in peripheral blood lymphocyte (PBL) ...

STUDY OBJECTIVE To assess concentrations of morphine and its metabolites after patient-controlled analgesia (PCA). DESIGN Pilot pharmacokinetic study of morphine and pharmacokinetic simulation. SETTING Post-anesthesia care room and ward of an academic teaching hospital. PATIENTS 10 ASA physical status I, II, and III postoperative surgical patients. INTERVENTIONS Patients received morphi...

AIM To investigate the rates of prostate cancer (PCa) in radical cystoprostatectomy (RCP) specimens for bladder cancer in mainland China. To determine the follow-up outcome of patients with two concurrent cancers and identify whether prostate-specific antigen (PSA) is a useful tool for the detection of PCa prior to surgery. METHODS From January 2002 to January 2007, 264 male patients with bla...

Increased CCL2 expression in prostate cancer (PCa) cells enhanced metastasis via macrophage recruitment. However, its linkage to androgen receptor (AR)-mediated PCa progression remains unclear. Here, we identified a previously unrecognized regulation: targeting AR with siRNA in PCa cells increased macrophage recruitment via CCL2 up-regulation, which might then result in enhancing PCa invasivene...