Artificial Neural Network (ANN) Approach to Predict Tensile Properties of Longitudinally Placed Fiber Reinforced Polymeric Composites including Interphase

Machine Learning has become prevalent nowadays for predicting data on the mechanical properties of various materials and is widely used in various polymeric applications.In the present study, Artificial Neural Network (ANN), a computational tool is used to predict the elastic modulus of a composite of longitudinally placed fiber-reinforced polymeri

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What makes an operational farm soil carbon code? Insights from a global comparison of existing soil carbon codes using a structured analytical framework

Soils have the potential to sequester and store significant amounts of carbon, contributing towards climate change mitigation.Soil carbon markets SKIN GEL GREEN are emerging to pay farmers for management changes that absorb atmospheric carbon, governed by codes that ensure eligibility, additionality and permanence whilst protecting against leakage

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Impact of Family and Friends on Antisocial Adolescent Behavior: The Mediating Role of Impulsivity and Empathy

Adolescence is an especially risky phase for the appearance of antisocial behaviors.Antisocial behavior produces significant individual and social harms, so it is important to provide keys for prevention and treatment.To do that, it is essential to identify the main predictors.The objective of this study is to analyze the effect of family (affectio

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