Applying artificial intelligence techniques for predicting the environment, social, and governance (ESG) pillar score based on balance sheet and income statement data: A case of non-financial companies of USA, UK, and Germany

Due to globalization, environment, social, and governance (ESG) issues have gained importance over the last few decades.ESG is a worldwide issue, which clarifies that organizations throughout the world are lacking in contribution to the environment, society, and corporate governance characteristics for sustainable development.The problem of ESG spr

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Effect of amitriptyline on learning and memory consolidation in the male Wistar rats with an experimental model of pentylenetetrazole-induced seizure

Abstract Amitriptyline (AMT) was developed for the treatment of chronic and neuropathic pain.There is also evidence it may be useful in the treatment of neurodegenerative disorders.In this regard, the effect of on the experimental model of seizures and memory impairment caused by seizures in rats is investigated in the present study.Seizures in Wis

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Road Performance and Application Analysis of Ultra-Thin Asphalt Coating Mixture with High Elastic Modification

A kind of composite modified asphalt with high elasticity was prepared by SBS and high elasticity agent, and the asphalt mixture with easy compactness was applied.The high temperature, low temperature, water stability Pedal Arm Bracket and fatigue properties of the mixture were evaluated by laboratory tests.The results show that the optimum content

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Low-Dimensional Models for Aerofoil Icing Predictions

Determining the aero-icing characteristics is key for safety assurance in aviation, but it may be a computationally expensive task.This work presents a framework for the development of low-dimensional models for application to aerofoil icing.The framework builds on: an adaptive sampling strategy to Full Mattress Set identify the local, nonlinear fe

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