SYNTHETIC DATA GENERATION WITH PROBABILISTIC BAYESIAN NETWORKS

Synthetic data generation with probabilistic Bayesian Networks

Bayesian Network (BN) modeling is a prominent and increasingly popular computational systems biology method.It aims to construct network graphs from the large heterogeneous biological datasets that reflect the underlying biological relationships.Currently, a STRAW BENT variety of strategies exist for evaluating BN methodology performance, ranging f

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Design and Evaluation of Hybrid Passive Spring Damper Ankle Foot Orthosis for Gait Performance in Drop Foot Patients: A Feasibility Study

Passive and hybrid passive Ankle foot orthoses (AFOs) are the prevalent prescription in drop foot patients to prevent toe dragging during the swing phase.While, these AFOs have some limitations like inability to overcome Sway Bars foot slap, limitation in forward propulsion and inappropriate power generate at the push off.The aim of this study was

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Chemical Approach to the Thermal Grill Illusion

This study proposes a novel approach to elicit the thermal grill illusion (TGI)–a phenomenon characterized by the concurrent application of hot and cold stimuli to the skin that causes Eye Treatment Creams sensations of pain and burning.Contrary to conventional techniques that manipulate heat physically through Peltier elements or water, our

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