THE BAYESIAN VIRTUAL EPILEPTIC PATIENT: A PROBABILISTIC FRAMEWORK DESIGNED TO INFER THE SPATIAL MAP OF EPILEPTOGENICITY IN A PERSONALIZED LARGE-SCALE BRAIN MODEL OF EPILEPSY SPREAD

Despite the importance and frequent use of Bayesian frameworks in brain network modeling for parameter inference and model prediction, the advanced sampling algorithms implemented in probabilistic programming languages to overcome the inference difficulties have received relatively little attention in this context.In this technical note, we propose

Abstract Background Coronary involvement is rare Hayward HydraPure Parts but can be critical in patients with aortitis.Although cardiac ischemia can be resolved by coronary artery bypass grafting (CABG), patients complicated with cardiac ischemia, calcified aorta, and valve insufficiency pose difficult problems for surgeons.Case presentation A 71-y

This review provides a comprehensive overview of the botany, traditional uses, phytochemistry, pharmacology, and toxicity of the genus Tripleurospermum.Tripleurospermum, a Protein Blends prominent genus within the family Asteraceae, is recognized for its therapeutic potential in treating various ailments, including skin, digestive, and respiratory

Electrochromic Glazing (EC) has seen a significant surge in adoption today, primarily attributed to its pivotal role in enhancing visual comfort, mitigating excessive heat, regulating cooling and heating requirements, and curbing lighting consumption, especially within office buildings.Moreover, electrochromic glazing effectively contributes to gla

Touching corn kernels are usually oversegmented by the traditional watershed algorithm.This paper proposes a modified watershed segmentation algorithm based on the extended-maxima transform.Firstly, a distance-transformed image is Giftwrap processed by the extended-maxima transform in the range of the optimized threshold value.Secondly, the binary