Results 71 to 80 of about 25,416,119 (357)

Inverse source problem for the pseudoparabolic equation associated with the Jacobi operator

open access: yesBoundary Value Problems
In this paper, we investigate direct and inverse problems for time-fractional pseudoparabolic equations associated with the Jacobi operator. The existence and uniqueness of the solutions are proven.
Bayan Bekbolat, Niyaz Tokmagambetov
doaj   +1 more source

System for Neural Network Determination of Atrial Fibrillation on ECG Signals with Wavelet-Based Preprocessing

open access: yesApplied Sciences, 2021
Today, cardiovascular disease is the leading cause of death in developed countries. The most common arrhythmia is atrial fibrillation, which increases the risk of ischemic stroke.
Pavel Lyakhov   +2 more
doaj   +1 more source

Integrability and Non-integrability of Hamiltonian Normal Forms [PDF]

open access: yes, 2014
This paper summarizes the present state of integrability of Hamiltonian normal forms and it aims at characterizing non-integrable behaviour in higher-dimensional systems. Non-generic behaviour in Hamiltonian systems can be a sign of integrability, but it
Ferdinand Verhulst   +3 more
core   +1 more source

Nonlinear waves in integrable and nonintegrable systems (Mathematical Modeling and Computation 16) By Jianke Yang

open access: yes, 2015
This is the accepted version of a book review that was subsequently published in the Bulletin of the London Mathematical Society [© London Mathematical Society]. The definitive version is available at: http://dx.doi.org/10.1112/blms/bdu100.
K. Khusnutdinova
semanticscholar   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Shrinking random β-transformation

open access: yes, 2017
For any n ≥ 3, let 1 < β < 2 be the largest positive real number satisfying the equation β n = β n−2 + β n−3 + · · · + β + 1. In this paper we define the shrinking random β-transformation K and investigate natural invariant measures for K, and the ...
Mathematical Modeling   +3 more
core   +1 more source

Engaging Elementary Students in the Creative Process of Mathematizing Their World through Mathematical Modeling

open access: yes, 2017
This paper examines the experiences of two elementary teachers’ implementation of mathematical modeling in their classrooms and how the enactment by the teachers and the engagement by students exhibited their creativity, critical thinking, collaboration ...
Jennifer Suh   +2 more
semanticscholar   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

A Moving Mesh Finite Difference Method for Non-Monotone Solutions of Non-Equilibrium Equations in Porous Media [PDF]

open access: yes, 2017
An adaptive moving mesh finite difference method is presented to solve two types of equations with dynamic capillary pressure effect in porous media. One is the non-equilibrium Richards Equation and the other is the modified Buckley-Leverett equation ...
Paul Andries Zegeling   +5 more
core   +1 more source

On the Mathematics of Diffusion Models

open access: yesCoRR, 2023
This paper gives direct derivations of the differential equations and likelihood formulas of diffusion models assuming only knowledge of Gaussian distributions. A VAE analysis derives both forward and backward stochastic differential equations (SDEs) as well as non-variational integral expressions for likelihood formulas.
openaire   +2 more sources

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