Quantitative analysis is problematic for microchip electrophoresis for several reasons including chip-to-chip variation, discontinuous sample re-loading, channel reconditioning, and electrokinetic injection bias. In this study, the capability for quantitative analysis on a flow-through based microchip electrophoresis, which provides continuous sample re-loading, channel washing, reconditioning and hydrodynamic injection as well as waste removing is demonstrated to be more quantifiable and more reproducible compared to manual electrokinetic injection method. Using the flow-through microchip with waste-removing function, FITC-labeled estrogen or Rhodamine B could be continuously analyzed without significant changes (R.S.D. < 6.6%) in signal intensity for over 3 h, which is sufficient for a complete set of quantitative analysis. With the use of a phosphorylated kinase substrate as the model, a calibration curve for quantitative analysis of phosphopeptides were constructed and results indicate that both R2 value of the linearity and R.S.D. values of the peak intensity were around 0.9961 and 3.16%, respectively, without the use of an internal standard. These values were slightly improved to be around 0.9986 and 2.27%, respectively, with the use of a non-phosphopeptide counterpart as the internal standard. The potential of this flow-through device for the development of a kinase phosphorylation assay based on the quantitative method was also briefly discussed.
In interconnection networks, data distribution and fault tolerance are crucial services. This study proposes an effective algorithm for improving connections between networks. Transposition networks are a type of Cayley graphs and have been widely used in current networks. Whenever any connection node fails, users want to reconnect as rapidly as possible, it is urgently in need to construct a new path. Thus, searching node-disjoint paths is crucial for finding a new path in networks. In this article, we expand the target to construct independent spanning trees to maximize the fault tolerance of transposition networks.INDEX TERMS Independent spanning trees, transposition networks, interconnection networks, Cayley graphs.
Primary cerebral anaplastic large cell lymphoma (ALCL) is very rare. We report on our experience with such a case and review the literature. A 46-year-old Taiwanese woman presented with headache, weakness of her right extremity, and limited eye movement. A solid mass (5 cm x 4 cm) at the left occipital lobe was almost completely removed. The neoplastic cells, some of which had reniform or embryo-like nuclei, were large and were admixed with abundant eosinophils, histiocytes, and some small lymphocytes. These neoplastic cells expressed CD30, CD43, granzyme B and T-cell intracellular antigen-1, but not ALK1, CD3, CD20, CD45, CD79a, cytokeratin, and EMA. They were positive for Epstein-Barr virus-encoded mRNA by in situ hybridization. Polymerase chain reaction study of formalin-fixed tissue showed a clonal gene arrangement of the T-cell receptor-gamma chain. ALCL of T-cell lineage with cytotoxic phenotype was diagnosed. The patient received cranial irradiation and has remained with no evidence of disease for 25 months of follow-up.
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