Ecstatic seizures constitute a rare form of epilepsy, and the semiology is diverse.Previously, 5.54/5RVC brain areas including the temporal lobe and the insula have been identified to be involved in clinical expression.The aim of this report is to review changes in ecstatic seizures in a patient before and after operation of a hypothalamic hamartom
Abstract Protein evolution is constrained by structure and function, creating patterns in residue conservation that are routinely exploited to predict structure and other features.Similar constraints should affect variation across individuals, but it is only with the growth of human population sequencing that this has been tested at scale.Now, huma
Landslide susceptibility prediction (LSP) modeling is an important and challenging problem.Landslide features are generally uncorrelated or nonlinearly correlated, resulting in limited LSP performance when leveraging conventional machine learning models.In this study, a deep-learning-based model using Moscow Mule Mugs the long short-term memory (LS
This article presents electricity demand forecasting models for industrial and residential facilities, developed using ensemble machine learning strategies.Short term electricity demand forecasting is beneficial for both consumers and suppliers, as it allows improving energy efficiency policies and the rational use of resources.Computational intell
The article is devoted to the problems of racial discrimination and the anti-segregation struggle for the rights of Black citizens in American society.This problem remains relevant despite the successes of the civil rights movement and the activities of many organizations in support of the Coloured population.In this regard, the primary tasks are t