In most mammalian species studied, two distinct and successive phases of sleep, slow wave (SW), and rapid eye movement (REM), can be recognized on the basis of their EEG profiles and associated behaviors. Both phases have been implicated in the offline sensorimotor processing of daytime events, but the molecular mechanisms remain elusive. We studied brain expression of the plasticity-associated...

Molecular mechanisms of plasticity at GABAergic synapses are currently poorly understood. To identify signaling cascades that converge onto GABAergic postsynaptic density proteins, we performed MS analysis using gephyrin isolated from rat brain and identified multiple novel phosphorylation and acetylation residues on gephyrin. Here, we report the characterization of one of these phosphoresidues...

Two new steroidal saponins (1 and 2) were isolated from the dried bulbs of Allium macrostemon Bunge. Their structures were elucidated by the spectral data as 26-O-beta-D-glucopyranosyl-5alpha-furost-25 (27)-ene-3beta, 12beta, 22, 26-tetraol-3-O-beta-D-glucopyranosyl (1-->2) [beta-D-glucopyranosyl (1-->3)]-beta-D-glucopyranosyl (1-->4)-beta-D-galactopyranoside (1) and 26-O-beta-D-glucopyranosyl-...

, and Junctions in Endothelial Hyperpermeability 2+ Rho, Tyrosine Kinase, Ca Print ISSN: 0009-7330. Online ISSN: 1524-4571 Copyright © 2000 American Heart Association, Inc. All rights reserved. is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Circulation Research doi: 10.1161/01.RES.87.4.268 2000;87:268-271 Circ Res. http://circres.ahajournals.org/content...

Insulin resistance (IR) is considered cardinal to the pathophysiology of metabolic syndrome (MetS). Previously, several simple indexes IR calculated from biochemical and anthropometric variables have been proposed. However, these are population-dependent; therefore, further studies on a global scale necessary. The present study assessed diagnostic accuracy eight indicators, namely, METS-IR, TG-...

Under 5 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 4.9 5 to 9 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 4.4 10 to 14 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 6.4 15 to 19 years . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 6.8 20 to 24 years . . . . . . . . . . . . . . . . . . . . . ....

We consider the use of data reduction techniques for the problem of approximate query answering. We focus on applications for which accurate answers selective queries are required, and for which the data is very high dimensional (having hundreds or perhaps thousands of dimensions). We carefully examine the assumptions underlying many existing reduction techniques. To ensure both speed and accur...