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The underlying mechanism of isoflurane-induced cognitive dysfunction in older individuals is unknown. In this study, the effects of isoflurane exposure on the hippocampal blood-brain barrier (BBB) in aged rats were investigated because it was previously shown that BBB disruption involves in cognitive dysfunction. Twenty-month-old rats randomly received 1.5%(More)
AIMS Five sphingosine-1-phosphate receptors (S1PR): S1PR1, S1PR2, S1PR3, S1PR4 and S1PR5 (S1PR1-5) have been shown to be involved in the proliferation and progression of various cancers. However, none of the S1PRs have been systemically investigated. In this study, we performed immunohistochemistry (IHC) for S1PR1-S1PR5 on different tissues, in order to(More)
Gaussian Process (GP) regression models typically assume that residuals are Gaussian and have the same variance for all observations. However, applications with input-dependent noise (heteroscedastic residuals) frequently arise in practice, as do applications in which the residuals do not have a Gaussian distribution. In this paper, we propose a GP(More)
The aim of the present study was to investigate the biological role and molecular mechanism of the deleted in liver cancer-1 (DLC-1) gene in human colon cancer growth and invasion. Recombinant lentiviral vectors encoding the DLC-1 gene were constructed for transfection into the human colon cancer cell line SW480. Real-time quantitative polymerase chain(More)
In Time Division-Synchronous Code Division Multiple Access (TD-SCDMA) system, the Steiner algorithm is used to perform channel estimation for the serving cell based upon the midamble in each timeslot, and joint detection (JD) is employed to eliminate intra-cell interference for both uplink and downlink. However, since single-cell JD (SJD) only deals with(More)
Gaussian Process (GP) models are a powerful and flexible tool for non-parametric regression and classification. Computation for GP models is intensive, since computing the posterior density, π, for covariance function parameters requires computation of the covariance matrix, C, a pn 2 operation, where p is the number of covariates and n is the number of(More)
AIM Diabetic nephropathy (DN) is the most frequent cause of end-stage renal disease. The activation of the renin-angiotensin system (RAS) and lipid disorders are major risk factors in progressive chronic kidney disease. Inhibition of the RAS is one of the most widely used therapies to treat chronic kidney disease. But its effect is not sufficient, and(More)