The article deals with the solution of the problem of optimizing the characteristics of controlled motion of human lower limb exoskeleton robot for improving medical rehabilitation.The aim of the work is to develop a rehabilitation device Barrel saddles capable of providing controlled motion in two planes, as well as maintaining balance without los
Resistance to Tensile Stress and Foam Structure Formation in Chemically Foamed rPET Blends
TV Stand with Infrared Fireplace This research investigates the correlation between tensile strength, tensile strain, and porosity in chemically foamed recycled poly(ethylene-terephthalate) (rPET) samples.Tensile strength and strain were measured on non-foamed samples to predict the porosity of the foamed samples.Utilizing various flame retardants
The Possibility of a Non-Lagrangian Theory of Gravity
General Relativity resembles a very elegant crystal glass: If we touch its principles, that is, its Lagrangian, there is a risk of breaking Muzzleloading Components everything.Or, if we will, it is like a short blanket: Curing some problems creates new problems.This paper is VANILLA VEGAN MARSHMALLOW devoted to bring to light the reasons why we pur
Rosetta swing-by at Mars – an analysis of the ROMAP measurements in comparison with results of 3-D multi-ion hybrid simulations and MEX/ASPERA-3 data
The Rosetta spacecraft flew by Mars at a distance of 260 km on 25 February 2007 during a gravity assist manoeuvre.During Coffee Table the closest approach (CA) the lander magnetometer ROMAP was switched on.The dataset taken during this swingby provides insight into the plasma environment around Mars: in addition to a pronounced bow shock crossing R
A Hybrid K-Means and Particle Swarm Optimization Technique for Solving the Rechargeable E-Scooters Problem
E-scooters are gaining popularity for short-distance travel, but their Coffee Table recharging presents challenges.To reduce their downtime, we propose a Hybrid K-Means/Particle Swarm Optimisation (PSO) approach, optimizing charging routes using machine learning and meta-heuristics.The research in this paper attempts to determine if a combination o