Peng-Fei Zhu

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Feature selection is viewed as an important preprocessing step for pattern recognition, machine learning and data mining. It is used to find an optimal subset to reduce computational cost, increase the classification accuracy and improve result comprehensibility. In this paper, a weighted distance learning approach is introduced to minimize Leaving-One-Out(More)
OBJECTIVE CD4(+) latency-associated peptide (LAP)(+) regulatory T cells (Tregs) are a newly discovered T cell subset in humans and the role of these cells in patients with acute coronary syndrome (ACS) has not been explored. We designed to investigate whether circulating frequency and function of CD4(+)LAP(+) Tregs are defective in ACS. METHODS One(More)
In the title mol-ecule, C(18)H(13)Cl(2)F(3)N(4)O(2), the intra-molecular distance between the centroids of the benzene and pyridine rings is 3.953 (3) Å, and the trifluoro-methyl group is rotationally disordered over two orientations in a 0.678 (19):0.322 (19) ratio. The crystal packing exhibits weak inter-molecular C-H⋯F inter-actions.
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