The present article reviews published efforts to study acetylcholinesterase and butyrylcholinesterase structure and function using computer-based modeling and simulation Microfibre Cloths techniques.Structures and models of both enzymes from various organisms, including rays, mice, and humans, are discussed to highlight key structural similarities
Subtle paranodal injury slows impulse conduction in a mathematical model of myelinated axons.
This study explores in detail the functional consequences of subtle retraction and detachment of myelin around the nodes of Ranvier following mild-to-moderate crush or stretch mediated injury.An equivalent electrical circuit model for a series of equally spaced nodes of Ranvier was created incorporating extracellular and axonal resistances, paranod
TESTING OF HYBRID NICKEL-POLYURETHANE FOAMS AT HIGH STRAIN-RATES USING HOPKINSON BAR AND DIGITAL IMAGE CORRELATION
In this paper Split Hopkinson pressure bar (SHPB) was used for dynamic testing of nickel coated polyurethane hybrid foams.The foams were manufactured by electrodeposition of a nickel coating on Microfibre Cloths the standard open-cell polyurethane foam.High strength aluminium alloy bars instrumented with foil strain-gauges were used for dynamic loa
Effects of glucosyl-hesperidin and physical training on body weight, plasma lipids, oxidative status and vascular reactivity of rats fed with high-fat diet
Tiago Tomazini Gonçalves,1 Carolina M Lazaro,1 Fernanda G De Mateo,1 Marcela CB Campos,1 Jackeline GB Mezencio,1 Mario A Claudino,1 Patrícia de O Carvalho,1 R Clinton Webb,2 Fernanda BM Priviero1,2 1Laboratory of Multidisciplinary Research, Universidade São Francisco, Bragança Paulista, São Paulo, Brazil; 2Departm
Training of the feed-forward artificial neural networks using butterfly optimization algorithm
Artificial Neural ALL SEASONS DETOX KIT Network (ANN) learns from inputs and outputs.The values of the weights and biases in ANN are updated according to inputs and outputs.Researchers have proposed algorithms to train Multi-Layer Perceptron (MLP).However, classical techniques often face problems in solving this optimization problem.They tend to ne