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Repeated treatment of psychotropic drugs produces changes in brain and behavior that far outlast their initial neuropharmacological effects. The nature of persistent drug-induced neural plasticity is of interest because it is thought to contribute to the development of drug dependency and addiction. To determine if chronic morphine treatment alters the(More)
Extracellular α-synuclein is important in the pathogenesis of Parkinson's disease (PD) and also as a potential biomarker when tested in the cerebrospinal fluid (CSF). The performance of blood plasma or serum α-synuclein as a biomarker has been found to be inconsistent and generally ineffective, largely due to the contribution of peripherally derived(More)
Electrophysiological and biochemical studies have indicated that GABAergic modulation is involved in the opioid-induced altering of response properties of visual cortical cells and impairing of short-term synaptic plasticity in the geniculo-cortical visual pathway. The aim of the current study was to examine whether there were changes in the localization(More)
Phytophthora root and stem rot (PRR) caused by Phytophthora sojae is one of the most serious diseases affecting soybean (Glycine max (L.) Merr.) production all over the world. The most economical and environmentally-friendly way to control the disease is the exploration and utilization of resistant varieties. We screened a soybean mini core collection(More)
Methylmalonic acidemia (MMA) is an autosomal-recessive inborn metabolic disorder that results from a deficiency in methylmalonyl-coenzyme A mutase or its cofactor, adenosylcobalamin. Currently, neurological manifestations in MMA are thought to be associated with neural apoptosis. BCL2L11, which is a proapoptotic Bcl-2 family member, is resident in the outer(More)
Wind speed high-precision prediction is one of the most important technical aspects to protect the safety of wind power utilization. In this study, two new hybrid methods [FEEMD-MEA-MLP/FEEMD-GA-MLP] are proposed for the wind speed accurate multi-step predictions by combining FEEMD (Fast Ensemble Empirical Mode Decomposition), MEA (Mind Evolutionary(More)
Reducing the number of active nodes is an natural and effective method in energy saving for large scale cloud datacenters. However, the traditional way of consolidating VMs by migration may lead to the impacts on performance as well as costs on power consumption and migration. In this paper, we propose an algorithm named DRAMDT to deploy VMs to servers(More)
Energy consumption has become major operational cost in data centers. Virtualization technology used in cloud computing platforms can improve energy efficiency and reduce costs. There are many ongoing research projects focusing on power management for virtualized cloud by making power-aware resource allocation and scheduling policies. However, there is a(More)
A gene encoding a special thermophilic multifunctional amylase OPMA-N was cloned from Bacillus sp. ZW2531-1. OPMA-N has an additional 124-residue N-terminal domain compared with typical amylases and forms a relatively independent domain with a β-pleated sheet and random coil structure. Here we reported an unusual substrate and product specificities of(More)
BACKGROUND The HIV-1 protease is initially synthesized as part of the Gag-Pol polyprotein in the infected cell. Protease autoprocessing, by which the protease domain embedded in the precursor catalyzes essential cleavage reactions, leads to liberation of the free mature protease at the late stage of the replication cycle. To examine autoprocessing reactions(More)