Background: Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are assumed to be prognostic factors in many diseases such as inflammatory diseases, cardiovascular diseases and cancer. However, NLR and PLR are race specific, it is important to determine the reference values of NLR and PLR in different races. The study aimed to investigate the reference range of NLR and PLR in Chinese Han population from Chaoshan region in South China.
View Article and Find Full Text PDFBackground: Recently, the R-wave peak time (RWPT) at lead II was reported to be a helpful and simple tool for differentiating wide QRS complex tachycardias with a RWPT ≥ 50ms for ventricular tachycardia diagnosis. Our previous study showed that the duration of RWPT at lead II in adults was ≈29ms. However, the effects of ventricular premature beats (VPBs), bundle branch block (BBB) or left anterior fascicular block (LAFB) on RWPT at lead II remain unknown.
View Article and Find Full Text PDFIt has been previously demonstrated that lipopolysaccharides (LPS) inhibit the viability, migration, adhesion and in vitro angiogenesis of late endothelial progenitor cells (EPCs). However, the mechanisms underlying this LPS‑induced impairment of late EPC functional activity are unknown. The aim of the present study was to investigate whether Toll‑like receptor 4 (TLR4) is expressed and functional on late EPCs, using late EPCs of 3‑5 passages.
View Article and Find Full Text PDFUnlabelled: Objectives: To demonstrate the prevalence of ABO blood groups with deep venous thromboembolism in Chinese Han population.
Methods: A retrospective study was conducted between January 2010 and March 2015 in The First Affiliated Hospital of Shantou University Medical College in Chaoshan District of Guangdong Province in South China. Eighty nine patients with confirmed diagnosis of deep venous thromboembolism were included.
IEEE Trans Image Process
January 2017
Graph model is emerging as a very effective tool for learning the complex structures and relationships hidden in data. In general, the critical purpose of graph-oriented learning algorithms is to construct an informative graph for image clustering and classification tasks. In addition to the classical K-nearest-neighbor and r-neighborhood methods for graph construction, l-graph and its variants are emerging methods for finding the neighboring samples of a center datum, where the corresponding ingoing edge weights are simultaneously derived by the sparse reconstruction coefficients of the remaining samples.
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