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Recent experiments on monoaminergic neurons have shown that neurotransmission can originate from somatic release. However, little is known about the quantity of monoamine available to be released through this extrasynaptic pathway or about the intracellular dynamics that mediate such release. Using three-photon microscopy, we directly imaged serotonin(More)
An acyclic graphoidal cover of a graph G is a collection $ of paths in G such that every path in $ has at least two vertices, every vertex of G is an internal vertex of at most one path in ~/and every edge of G is in exactly one path in $. The minimum cardinality of an acyclic graphoidal cover of G is called the aeyclie graphoidal covering number of G and(More)
An efficient plant regeneration system was established from immature leaflet-derived callus of Acacia confusa Merr, through organogenesis. Under optimized culture conditions, the high rate of callus induction and proliferation was obtained in 35 days on MMS medium supplemented with 2,4-D (3 mg l−1) + NAA (0.01 mg l−1) + Kin (0.05 mg l−1). The highest(More)
Implementation of artificial neural network (ANN) in hardware is needed to fully utilize the inherent parallelism. Presented work focuses on the configuration of field-programmable gate array (FPGA) to realize the activation function utilized in ANN. The computation of a nonlinear activation function (AF) is one of the factors that constraint the area or(More)
The present study was intended to determine the antioxidant, larvicidal, and cytotoxic potential of various extracts of Asplenium aethiopicum (Burm. f.) Becherer. Antioxidant potential of the extracts was determined by the DPPH radical scavenging, phosphomolybdenum, and scavenging of H2O2. Larvicidal activity of Asplenium aethiopicum was performed against(More)
In this paper, a novel Discrete Particle Swarm Clustering algorithm (DPSC) for data clustering has been proposed. The particle positions and velocities are defined in a discrete form and an efficient approach is developed to move the particles for constructing new clustering solutions. DPSC algorithm has been applied to solve the data clustering problems by(More)