DIFFERENT ATTITUDES TOWARDS MATHEMATICS AMONG ECONOMIC AND BUSINESS STUDENTS AND CHOICE OF BUSINESS COURSE MAJOR IN NORWAY [PDF]
The purpose of this research is to map out any differences regarding attitudes towards mathematics among students at the Faculty of Economics and Management, Norwegian University of Science and Technology (NTNU).
Leiv OPSTAD
doaj
The Covid-19 Pandemic: A Challenge for Values in School Mathematics in Iran
f f, f f
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An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu +12 more
wiley +1 more source
Expectation values of quantum powers < r^a > using quantum defects for Li O Na Mg using symbolic Mathematics, and new tools such as Topbase to produce quantum defects of these elements [PDF]
Amaury de Kertanguy
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Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
Erratum to: A Nonlinear Generalization of Singular Value Decomposition and Its Applications to Mathematical Modeling and Chaotic Cryptanalysis [PDF]
Prabhakar G. Vaidya +2 more
openalex +1 more source
Amorphous High Entropy Alloy Nanosheets Enabling Robust Li–S Batteries
Amorphous ultrathin FeCoNiMoW high entropy alloy nanosheets are incorporated into the polypropylene separator of lithium‐sulfur batteries, enhancing their capacity, rate performance, and cycling stability. Abstract High‐entropy alloys (HEAs) show great potential for catalyzing complex multi‐step reactions, but optimizing their parameters, i.e ...
Ren He +20 more
wiley +1 more source
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

