Jagrti Patel

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Fast cyclic voltammetry using carbon fibre microelectrodes in rat brain slices, was used to investigate regional differences in electrically-evoked dopamine (DA) efflux at 10 different sites in the anterior caudate putamen (aCPu) and 10 sites in the posterior caudate putamen (pCPu). For each site DA overflow was evoked by both single pulse (1P) stimulation(More)
We examined the effects of pressure ejected 3, 4-methylenedioxymethamphetamine (MDMA) from a micropipette on direct chemically stimulated release, and on electrically stimulated serotonin (5-HT) or dopamine (DA) release in the caudate putamen (CPu), nucleus accumbens (NAc), substantia nigra pars reticulata (SNr), and the dorsal raphé nucleus (DRN) brain(More)
Chronic exposure to mild unpredictable stress caused a decrease in rats' consumption of a palatable weak sucrose solution, which was reversed by chronic (5 weeks) administration of imipramine (5 mg/kg/day). Dopamine (DA) release in the nucleus accumbens (NAc) and caudate putamen (CPu) was measured in vivo using fast cyclic voltammetry, following electrical(More)
1. Fast cyclic voltammetry was used to investigate the effect of 7-OH-DPAT (7-hydroxy-N,N-di-n-propyl-2-aminotetralin), a putative D3 receptor agonist, on electrically stimulated endogenous dopamine release in slices of rat nucleus accumbens. 2. 7-OH-DPAT inhibited single pulse stimulated dopamine release in a concentration-dependent manner with a maximum(More)
In rats of either the Sprague-Dawley or Long-Evans strain, either tetrahydroisoquinoline (THP) was infused chronically ICV, or one of three protoberberine (PBN) compounds was administered subcutaneously at birth. When the animals were 120-180 days of age, a constant concentration of alcohol was offered simultaneously with water to those rats which(More)
This paper presents an approach to automatic detection of fabric defects using digital image processing. In Textile industry automatic fabric inspection is important to maintain the quality of fabric. Fabric defect detection is carried out manually with human visual inspection for a long time. This paper proposes an approach to recognize fabric defects in(More)
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