Esthetics by Bedside Cases definition is the science of beauty - that particular detail of an animate or inanimate object that makes it appealing to the eye.In the modern, civilized, and cosmetically conscious world, well-contoured and well-aligned white teeth set the standard for beauty.Such teeth are not only considered attractive but are also in
Economic Policy and Analysis of the Draft Forcast by the Ministry of Economic Development of the Russian Federation Up to 2024
Topicality of the document prepared by the Ministry of Economic RECONSTRUCTOR FOR CHEMICALLY TREATED HAIR Development of the Russian Federation -the Forecast of the Social and Economic Development of the Russian Federation up to 2024 (hereafter referred to as the MED Forecast) implies both estimation of principle factors, which can affect the devel
3D Reconstruction With Time-of-Flight Depth Camera and Multiple Mirrors
In order to extract more detailed features, many recent practical applications work with 3-D models instead of 2-D images.However, 3-D reconstruction usually requires either multiple cameras or a depth sensor and a turntable.This paper proposes an approach for performing a 3-D reconstruction using only one depth camera together with two or more mir
Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms
The continuous havoc wrecked by tuberculosis among humans worldwide remains colossal.In this work, twenty-one (21) 2-(quinoline-4-yloxy)acetamide analogues were observed against RECONSTRUCTOR FOR CHEMICALLY TREATED HAIR Mycobacterium tuberculosis catalase-peroxidase (This enzyme shields bacteria from poisonous drug-like molecules) (PDB ID: 1sj2) us
Modeling the influence of lime on the unconfined compressive strength of reconstituted graded soil using advanced machine learning approaches for subgrade and liner applications.
In the field of soil mechanics, especially in transportation and environmental geotechnics, the use of machine learning (ML) techniques has emerged as a powerful tool for predicting and understanding the compressive strength behavior of soils especially graded ones.This is to overcome the sophisticated equipment, laboratory space and cost needs uti