An application of the Mittag-Leffler-type Borel distribution and Gegenbauer polynomials on a certain subclass of bi-univalent functions. [PDF]
Hussen A.
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A series of fluorine‐free bis(glycolato)borate anion‐based salts comprising lithium, sodium, potassium, magnesium, calcium cations has been synthesized and thoroughly characterized. Some of the created electrolytes reveal promising ion transport and electrochemical properties for battery applications.
Yanqi Xu+4 more
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Enhancing low-light images using Sakaguchi type function and Gegenbauer polynomial. [PDF]
Sundari KS, Keerthi BS.
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Effects of Fluorinated Additives in Molten Salt Electrolytes for Calcium Batteries
Fluorinated additives offer a promising route to tailor the structure and transport properties of electrolytes in general, yet their role in molten salt electrolytes (MSEs) remains poorly understood. Here, we investigate the influence of three fluorinated additives, TTE, BTFE, and PhF, on the structure and dynamics of an MSE composed by [Li, Na, K, Ca ...
Carolina Cruz, Patrik Johansson
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Exploring a distinct group of analytical functions linked with Bernoulli's Lemniscate using the q-derivative. [PDF]
Al-Shbeil I+3 more
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Untangling the hedge: Genetic diversity in clonally and sexually transmitted genomes of European wild roses, Rosa L. [PDF]
Reichel K+8 more
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Some univalent compositions of polynomials with univalent functions [PDF]
openaire +2 more sources
Abstract Fishing waste and byproducts, whether naturally occurring or from industrial processing, are important sources of high‐value compounds. Fertilizers, biomaterials, cosmetics, biolubricants, and biodiesel are some of the substances that can be obtained from these residues. The objective of this study was to conduct a theoretical and experimental
Patrick da Silva Sousa+7 more
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The Observation of Meiotic Union Behavior of Gametophytes Provides a New Basis for Ploidy of Carassius auratus gibelio. [PDF]
Ma K+8 more
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ML@ChemE: Past, Present, and Future of Machine Learning in Chemical Engineering
Although the initial machine learning (ML) applications were mainly on fault detection, signal processing, and process modeling, they extended to new areas like property estimation and material screening in later years; energy technologies, environmental issues, health, and new materials will likely be more important in future with the use of larger ...
Pınar Özdemir, Ramazan Yıldırım
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