The increasing demand for materials capable of withstanding high temperatures and harsh environments necessitates the discovery of advanced alloys.This study introduces a computational routine to predict solid-state phase stability and calculates elastic constants to determine high temperature viability.With it, machine learning models were trained
A computationally efficient algorithm to leverage average information REML for (co)variance component estimation in the genomic era
Abstract Background Methods for estimating creative grids quick trim and circle ruler variance components (VC) using restricted maximum likelihood (REML) typically require elements from the inverse of the coefficient matrix of the mixed model equations (MME).As genomic information becomes more prevalent, the coefficient matrix of the MME becomes de
Strength and durability of self-curing concrete developed using calcium lignosulfonate
A large quantity of water is required during the conventional curing methods.This becomes challenging in the areas facing water scarcity and for concreting work in high-rise structures.This work presents a solution for the need for concrete that does not require extra water for curing.In the proposed solution, calcium lignosulfonate in different pe
A Step-by-Step Approach to Arthroscopic Repair of Massive Rotator Cuff Tears
Arthroscopic repair of massive rotator cuff tears can be technically challenging mars landing kale but is achievable in many cases.Performing adequate releases are important for successful tendon mobility and avoiding excessive tension in the final repair, thus restoring the native anatomy and biomechanics.This Technical Note provides a step-by-ste