Objective To explore the correlation between the expression of lung resistance-related protein (LRP) in non-small cell lung cancer (NSCLC) and that in peripheral blood lymphocytes (PBL). Methods The S-P immunohistochemistry was used to detect the expression of LRP in specimens and PBL of 49 patients with NSCLC. Para-carcinoma tissues and PBL of 10 normal people were used as controls. Results The positive expression rate of LRP was 78.2%, 46.4% and 66.8% in carcinoma tissues, para-carcinoma tissues and PBL, respectively. The expression rate of LRP in carcinoma tissues was higher than that in para-carcinoma tissues (P

The core problem of the brain-computer interface (BCI) based on neural signal is estimating neural firing rate from a spike train and then using neural population decoding algorithm to decode movement trajectory.In this artical, we review the theoretical basis of both classic and current firing rate estimations and compare the advantages and drawbacks of these methods. At the same time we also review the decoding algorithm which using neural firing rate to decode movement trajectory in brain- computer interface: population vector algorithm, linear filter and kalman filter. At last, some results applying these estimators of firing rate to decode arm movement in BCI are introduced. The results show apparently different performance of the different firing rate estimators, while minimal differences are observed in the actual application of BCI.

[ ABSTRACT ] AIM: To investigate the molecular mechanisms of cytotoxicity induced by dihydroartemisinin ( DHA) in non-small cell lung cancer ( NSCLC) cells.METHODS:NSCLC cell lines A549 and NCI-H1650 were treated with various concentrations of DHA for indicated time.Subsequently, the effects of DHA on the cell activity, colony forma-tion ability and apoptosis were determined by MTT assay, colony formation assay, Annexin V-FITC/PI staining and flow cy-tometry, respectively.At the same time, the effects of DHA on glucose, ATP and lactate levels were assessed, and the PI3K pathway activation and glucose transporter 2 ( GLUT2) expression were detected by Western blot in the A549 cells and NCI-H1650 cells.Overexpression of GLUT2 and Rheb was established in A549 and NCI-H1650 cells by transfection with GST-GLUT2 and GST-Rheb plasmids, respectively, and the effects of DHA on cell activity, apoptosis, glucose level, ATP content and PI3K pathway activation were analyzed in A549 cells and NCI-H1650 cells.The effect of glucose depriva-tion on the cytotoxicity triggered by DHA in NSCLC cells was also determined.RESULTS:Compared with control group, DHA significantly inhibited cell activity and colony formation ability, and induced remarkable cell apoptosis in the A549 cells and NCI-H1650 cells.At the same time, DHA reduced ATP and lactate contents, and hindered glucose uptake in a time-and dose-dependent manner in A549 cells and NCI-H1650 cells.The activity of PI3K pathway and GLUT2 expression were downregulated, while upregulated GLUT2 expression and activated PI3K pathway reduced the cytotoxicity induced by DHA in NSCLC cells.Glucose deprivation increased DHA-mediated cytotoxicity in NSCLC cells.On the contrary, high levels of glucose inhibited DHA-mediated cytotoxicity in NSCLC cells.CONCLUSION: DHA restrains cell activity and colony formation, and induces apoptosis.DHA induces cytotoxicity via inhibiting PI3K pathway activation and GLUT2 ex-pression, leading to inhibit glycolytic metabolism in NSCLC cells.

We have brought forward a wavelet-based algorithm for electroencephalograph (EEG) signals--using scale dependent threshold based on median. In comparison with the universal threshold and Sure threshold, our proposed threshold, which is adaptive to the subband noise signals, preserves the noise free reconstruction property and takes lower risk than does the universal threshold; and our proposed threshold overcomes the drawback of Sure threshold. Evidently, the scale dependent threshold based on median is computationally simple and can obtain higher singal-to-noise ratio (SNR) it outperforms the universal threshold and Sure threshlold.
Algorithms ; Artifacts ; Electroencephalography ; Humans ; Signal Processing, Computer-Assisted