UTILIZING ARTIFICIAL NEURAL NETWORKS AND RANDOM FORESTS TO FORECAST THE DYNAMIC AMPLIFICATION FACTORS OF NON-STRUCTURAL COMPONENTS

Utilizing Artificial Neural Networks and Random Forests to Forecast the Dynamic Amplification Factors of Non-Structural Components

Soft stories in buildings are well-known to present structural vulnerabilities during seismic events, and the failure of non-structural components (NSCs) has been evident fr9352 in past earthquakes, along with structural damage.This study seeks to investigate how the presence of a soft story in a building affects the criteria for elastic floor acce

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Laparoscopic Pelvic Floor Repair Using Polypropylene Mesh

Objective: The purpose of this report is to present our experience in laparoscopic pelvic floor repair using polypropylene mesh for the treatment of advanced vaginal rcma ko series vault prolapse and enterocele.Materials and Methods: A total of 40 patients with Baden-Walker System grade 3 or 4 vaginal vault prolapse and concurrent enterocele were r

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Permanence and periodic solution for a modified Leslie-Gower type predator-prey model with diffusion and non constant coefficients

In this paper we study a predator-prey system, modeling the interaction of two species with diffusion and T-periodic environmental parameters.It is a Leslie-Gower type predator-prey model with hermit crab ornaments Holling-type-II functional response.We establish some sufficient conditions for the ultimate boundedness of solutions and permanence of

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