Results 101 to 110 of about 48,003 (223)
Machine learning for the classification of serial electron diffraction patterns: synthetic data
Acta Crystallographica Section A, Volume 81, Issue 5, Page 397-400, September 2025.Machine learning based sorting of synthetic serial electron diffraction patterns into 2D zonal patterns and patterns representing intersections of multiple Laue zones is demonstrated. The extracted zonal patterns can be used for the determination of unit‐cell parameters.Serial electron crystallography faces a fundamental challenge due to the flat Ewald
Tatiana E. Gorelik, Evgeny Gorelik
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On $ 3 $-parameter generalized quaternions with higher order Leonardo numbers components
Electronic Research ArchiveIn this paper, a novel type of $ 3 $-parameter generalized quaternions ($ 3 $ -PGQs) is introduced, constructed from higher order Leonardo numbers and referred to as the higher order Leonardo $ 3 $-parameter generalized quaternions (shortly, higher order
Kübra GÜL
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A curious property of series involving terms of generalized sequences
International Journal of Mathematics and Mathematical Sciences, 2000 Here we are concerned with series involving generalized Fibonacci numbers Un (p,q) and generalized Lucas numbers Vn (p,q). The aim of this paper is to find triples (p,q,r) for which the series Un (p,q)/rn and Vn (p,q)/rn (for r running from 0 to ...
Odoardo Brugia, Piero Filipponi
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, 2020 In this paper, closed forms of the sum formulas ∑n k=0 kx W 2 k and ∑n k=1 kx W 2 −k for the squares of generalized Fibonacci numbers are presented. As special cases, we give sum formulas of Fibonacci, Lucas, Pell, Pell-Lucas, Jacobsthal, Jacobsthal ...
Y. Soykan
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AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice
Annals of Neurology, Volume 98, Issue 2, Page 211-230, August 2025.Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Matthew Rizzo, Jeffrey D. Dawson
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From Genes to Shapes: Exploring Local Adaptation in Carpathian Ox‐Eye Daisies
Journal of Biogeography, Volume 52, Issue 8, August 2025.ABSTRACT Aim Historical processes have shaped the Carpathian biogeography, yet ongoing evolutionary forces continue to drive population differentiation. We aimed to test whether local adaptation in the Carpathian subendemic Leucanthemum rotundifolium correlates with genetic, morphological and environmental factors, and to assess how these patterns ...
Kamil Konowalik, Olga Łuczak
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Numerical Analysis on Burn Injury of Human Skin Exposed to Varying Flash Fire Conditions
Engineering Reports, Volume 7, Issue 7, July 2025.A 3D prototype model of human skin, comprising epidermis, dermis, and subcutaneous tissue, analyzes temperature impacts for flash fire Q = 83,200 W/m2, conductivity (ke = 0.21, kd = 0.37, ks = 0.16) and specific heat capacities (Cpe = 3578, Cpd = 3200, Cps = 2288).
Salma Parvin +4 more
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A General Approach to Predict and Tailor the Nanoscale Permeability of Comb‐Shaped Polymer Coatings
Small Methods, Volume 9, Issue 7, July 19, 2025.Comb‐shaped polymers are used to produce ‘molecular sieving’ coatings. The steric and size‐selective permeability characteristics of comb‐polymer coatings are systematically explored in silico across a very broad parameter space. All features of the data can be understood when three distinct regimes are considered: i) no‐interactions, ii) weak ...
Nicole Drossis +2 more
wiley +1 more source
Generalized Fibonacci Numbers and Music
JOURNAL OF ADVANCES IN MATHEMATICS, 2018 Mathematics and music have well documented historical connections. Just as the ordinary Fibonacci numbers have links with the golden ratio, this paper considers generalized Fibonacci numbers developed from generalizations of the golden ratio. It is well known that the Fibonacci sequence of numbers underlie certain musical intervals and compositions but
Anthony G Shannon +2 more
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Journal of Advances in Modeling Earth Systems, Volume 17, Issue 7, July 2025.Abstract In the past 5 years, data‐driven prediction models and Machine Learning (ML) techniques have revolutionized weather forecasting. Meteorological services around the world are now developing ML components to enhance (or even replace) their numerical weather prediction systems.
J. Wilhelm +9 more
wiley +1 more source