This article presents an analytical study for forced vibration of a cylindrical shell which is composed of a functionally graded piezoelectric material (FGPM).The cylindrical shell is assumed to have two-constituent material distributions through the thickness of the structure, and material properties of the cylindrical shell are assumed to vary ac

An efficient commodity market creates a price relationship between two or more markets.This study provides an overview of the behavior of premium granulated sugar prices and the price relationship between market levels.Time series data for the period January 2018-March 2022, are used in this study.Graphical trend analysis; and cointegration analysi

In view of the increase in human activities, climate change and related hazards, land use and land cover (LULC) mapping is becoming a fundamental part of the process of any development or hazard prevention project.From this perspective, we propose a new approach for mapping LULC using Machine learning algorithms by comparing the result of five comp

Abstract For neural network potentials (NNPs) to gain widespread Commercial Product (Heaters) use, researchers must be able to trust model outputs.However, the blackbox nature of neural networks and their inherent stochasticity are often deterrents, especially for foundation models trained over broad swaths of chemical space.Uncertainty information

ObjectiveNo current model of consciousness is univocally accepted on either theoretical or empirical grounds, and the need for a solid unifying framework is evident.Special attention has been given to the premise that self-organized criticality (SOC) is a fundamental property of neural system.SOC provides a competitive model to describe the physica