Results 1 to 10 of about 13,029,176 (215)

Mathematical relationships between spinal motoneuron properties [PDF]

open access: yeseLife, 2022
Our understanding of the behaviour of spinal alpha-motoneurons (MNs) in mammals partly relies on our knowledge of the relationships between MN membrane properties, such as MN size, resistance, rheobase, capacitance, time constant, axonal conduction ...
Arnault H Caillet   +3 more
doaj   +5 more sources

Asymptotic properties of mathematical models of excitability [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2006
We analyse small parameters in selected models of biological excitability, including Hodgkin–Huxley (Hodgkin & Huxley 1952 J. Physiol. 117 , 500–544) model of nerve axon, Noble (Noble 1962 J. Physiol. 160 , 317–352) model of heart Purkinje fibres and Courtemanche
Biktasheva, I. V.   +3 more
openaire   +7 more sources

Mathematical properties of nested residues and their application to multi-loop scattering amplitudes [PDF]

open access: yesJournal of High Energy Physics, 2020
The computation of multi-loop multi-leg scattering amplitudes plays a key role to improve the precision of theoretical predictions for particle physics at high-energy colliders. In this work, we focus on the mathematical properties of the novel integrand-
J. J. Aguilera-Verdugo   +4 more
semanticscholar   +1 more source

Required mathematical properties and behaviors of uncertainty measures on belief intervals

open access: yesInternational Journal of Intelligent Systems, 2021
The Dempster–Shafer theory of evidence (DST) has been widely used to handle uncertainty‐based information. It is based on the concept of basic probability assignment (BPA).
Serafín Moral-García, J. Abellán
semanticscholar   +1 more source

Mathematical aspects of division property

open access: yesCryptography and Communications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hebborn, Phil   +2 more
openaire   +2 more sources

Mathematical modeling of a three-component system to investigate the formation and characteristics of glass [PDF]

open access: yesE3S Web of Conferences, 2023
The article investigates glass formation and its properties in a three-component system using mathematical modeling. The authors have applied the method of mathematical planning to increase the efficiency of research and to establish the dependences of ...
Sidikova Taxira   +2 more
doaj   +1 more source

MATHEMATICAL PROPERTIES OF AMERICAN CHOOSER OPTIONS [PDF]

open access: yesInternational Journal of Theoretical and Applied Finance, 2018
The American chooser option is a relatively new compound option that has the characteristic of offering exceptional risk reduction for highly volatile assets. This has become particularly significant since the start of the global financial crisis. In this paper, we derive mathematical properties of American chooser options.
SHI QIU, SOVAN MITRA
openaire   +2 more sources

Mathematical Modeling in View of Property Prediction of DD11 Steel Laminated in LBC Liberty Galati

open access: yesThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, 2021
The paper presents a mathematical model for predicting the mechanical properties of hot rolled strips. The realization of this mathematical model relied on statistical measurements of the mechanical properties (Rm, Rp0,2 and A5) for the laminated strip ...
Marian-Iulian NEACȘU
doaj   +1 more source

Box-Cox Gamma-G Family of Distributions: Theory and Applications

open access: yesMathematics, 2020
This paper is devoted to a new class of distributions called the Box-Cox gamma-G family. It is a natural generalization of the useful Ristić–Balakrishnan-G family of distributions, containing a wide variety of power gamma-G distributions, including the ...
Abdulhakim A. Al-Babtain   +3 more
doaj   +1 more source

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties [PDF]

open access: yesAlgorithms, 2018
Optimal transport theory has recently found many applications in machine learning thanks to its capacity to meaningfully compare various machine learning objects that are viewed as distributions.
Titouan Vayer   +4 more
semanticscholar   +1 more source

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