INTEGRATIVE ANALYSIS OF MACHINE LEARNING AND MOLECULE DOCKING SIMULATIONS FOR ISCHEMIC STROKE DIAGNOSIS AND THERAPY

Integrative Analysis of Machine Learning and Molecule Docking Simulations for Ischemic Stroke Diagnosis and Therapy

Due to the narrow therapeutic window and high mortality of ischemic stroke, it is of great significance to investigate its diagnosis and therapy.We employed weighted gene coexpression network analysis (WGCNA) to ascertain gene modules related dragon ball lg disney to stroke and used the maSigPro R package to seek the time-dependent genes in the pro

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Pulse Width Insensitive Design and Verification Methods

Many embedded controllers have some critical system states that depend on an asynchronous event.Currently handling them in design depends on the availability of always-on slow clocks.In this paper we present a generic asynchronous click here design scheme that doesn't require a clock and ensure a reliable functionality without associated deadl

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HPSBA: A Modified Hybrid Framework with Convergence Analysis for Solving Wireless Sensor Network Coverage Optimization Problem

Complex optimization (CO) problems have been solved using swarm intelligence (SI) methods.One of the CO problems is the Wireless wella color touch 77 45 Sensor Network (WSN) coverage optimization problem, which plays an important role in Internet of Things (IoT).A novel hybrid algorithm is proposed, named hybrid particle swarm butterfly algorithm (

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