LOCATION FACTORS AND ECOSYSTEM EMBEDDING OF SUSTAINABILITY-ENGAGED BLOCKCHAIN COMPANIES IN THE US. A WEB-BASED ANALYSIS

Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis

While many digital technologies provide opportunities for creating business models that impact Skirts sustainability, some technologies, especially blockchain applications, are often criticized for harming the environment, e.g.due to high energy demand.In our study, we present a novel approach to identifying sustainability-focused blockchain compan

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Chemistry and Art

This review summarizes possibilities of including scientific methods for investigation of art objects into the secondary school chemistry curriculum.We discuss methods such as X-ray radiography, infrared reflectography, neutron activation autoradiography, X-ray fluorescence, and Raman spectroscopy and provide recent examples of their use.The result

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Stochastic analysis through Levenberg Marquardt backpropagation neural networks for radiative Carreau nanofluid flow subject to chemical reaction

The aim of this research work is to estimate and analyze the solution of rheological chemical reactive Carreau nanofluid (CNRFM) induced by exponentially extended surface (EES) subject to variable physical attributes by using stochastic analysis on Levenberg Marquardt backpropagation neural networks (SALMBNNs).The non-linear Partial Differential Eq

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Aerodynamic characteristics of low Reynolds number airfoils

Assessment of airfoil aerodynamic Upper Brake Assembly characteristics is essential part of any optimal airfoil design procedure.This paper illustrates rapid and efficient method for determination of aerodynamic characteristics of an airfoil, which is based on viscous-inviscid interaction.Inviscid flow is solved by conformal mapping, while viscous

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