APPLICATION OF INVERSE NEURAL NETWORKS FOR OPTIMAL PRETENSION OF ABSORBABLE MINI PLATE AND SCREW SYSTEM


Optimal stimulus shapes for neuronal excitation.

An important problem in neuronal computation is to discern how features of stimuli control the timing of action potentials.One aspect of this problem is to determine how an action potential, or spike, can be elicited with the least energy cost, e.g., a minimal amount of applied current.Here we show in the Hodgkin & Huxley model of the action potent

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New Method of Image Steganography Based on Particle Swarm Optimization Algorithm in Spatial Domain for High Embedding Capacity

Steganography is a form of technology utilised to safeguard secret data during communication in addition to data repository.Numerous researchers have endeavoured to enhance the performance of steganography techniques through the development of an effective algorithm for the selection of the optimal pixel location within the host image for the conce

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Global Network Analysis of Neisseria gonorrhoeae Identifies Coordination between Pathways, Processes, and Regulators Expressed during Human Infection

ABSTRACT Neisseria gonorrhoeae is a Gram-negative diplococcus that is responsible for the sexually transmitted infection gonorrhea, a high-morbidity disease in the United States and worldwide.Over the past several years, N.gonorrhoeae strains resistant to antibiotics used to treat this infection have begun to emerge across the globe.Thus, new treat

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