Results 41 to 50 of about 758,034 (91)

Some Identities of the Probabilistic Changhee Polynomials and Their Applications

Journal of Mathematics, Volume 2026, Issue 1, 2026.
Special numbers and polynomials are very important tools in diverse fields such as mathematics, physics, engineering, science, and related disciplines, addressing problems in areas like mathematical physics, numerical analysis, differential equations, fluid dynamics, and quantum mechanics.
Jin-Woo Park, Sang Jo Yun, Sangbeom Park, Jongkyum Kwon, Smritijit Sen   +4 more
wiley   +1 more source

Incorporating Eruption Source Parameter and Meteorological Variability in the Generation of Probabilistic Volcanic Ash Hazard Forecasts

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 5, 16 March 2025.
Abstract Explosive volcanic eruptions can produce large masses of tephra that are transported over long distances, with potential impacts on the ground and to aircraft. Volcanic Ash Advisory Centers (VAACs) provide advice to aviation following an eruption, using atmospheric dispersion models, initialized with eruption source parameters (ESPs) and ...
Shannon Williams, Frances M. Beckett, Susan J. Leadbetter, Jeremy C. Phillips, Anthony Lee, Mark J. Woodhouse   +5 more
wiley   +1 more source

On bi-variate poly-Bernoulli polynomials

, 2022
We introduce poly-Bernoulli polynomials in two variables by using ageneralization of Stirling numbers of the second kind that we studied in aprevious work.
Pita-Ruiz, Claudio
core   +1 more source

Automated Transmissibility‐Based Damage Detection for Output‐Only Systems

Structural Control and Health Monitoring, Volume 2025, Issue 1, 2025.
In this study, an automated transmissibility‐based procedure for damage detection is developed for output‐only systems. The application of transmissibility has been previously investigated for damage detection. Despite the advancements, current techniques are not applicable in a general way, as vast experience or expert knowledge is needed to achieve ...
David Bonilla, Clemens Jonscher, Marlene Wolniak, Tanja Grießmann, Raimund Rolfes, Bareille Olivier   +5 more
wiley   +1 more source

Partitioning problems via random processes

Journal of the London Mathematical Society, Volume 110, Issue 6, December 2024.
Abstract There are a number of well‐known problems and conjectures about partitioning graphs to satisfy local constraints. For example, the majority colouring conjecture of Kreutzer, Oum, Seymour, van der Zypen and Wood states that every directed graph has a 3‐colouring such that for every vertex v$v$, at most half of the out‐neighbours of v$v$ have ...
Michael Anastos, Oliver Cooley, Mihyun Kang, Matthew Kwan   +3 more
wiley   +1 more source

Testing versus estimation of graph properties, revisited

Random Structures &Algorithms, Volume 65, Issue 3, Page 460-487, October 2024.
Abstract A graph G$$ G $$ on n$$ n $$ vertices is ε$$ \varepsilon $$‐far from property 𝒫 if one should add/delete at least εn2$$ \varepsilon {n}^2 $$ edges to turn G$$ G $$ into a graph satisfying 𝒫. A distance estimator for 𝒫 is an algorithm that given G$$ G $$ and α,ε>0$$ \alpha, \varepsilon >0 $$ distinguishes between the case that G$$ G $$ is (α−ε)$
Asaf Shapira, Nick Kushnir, Lior Gishboliner   +2 more
wiley   +1 more source

The potential influence of genome‐wide adaptive divergence on conservation translocation outcome in an isolated greater sage‐grouse population

Conservation Biology, Volume 38, Issue 4, August 2024.
Abstract Conservation translocations are an important conservation tool commonly employed to augment declining or reestablish extirpated populations. One goal of augmentation is to increase genetic diversity and reduce the risk of inbreeding depression (i.e., genetic rescue).
Shawna J. Zimmerman, Cameron L. Aldridge, Michael A. Schroeder, Jennifer A. Fike, Robert Scott Cornman, Sara J. Oyler‐McCance   +5 more
wiley   +1 more source

Machine Learning‐Based Prediction of Immunomodulatory Properties of Polymers: Toward a Faster and Easier Development of Anti‐Inflammatory Biomaterials

Advanced NanoBiomed Research, Volume 4, Issue 3, March 2024.
Polymeric materials are widely used for biomedical applications, from implants to thin nanoscale coatings. Herein, the possibility to predict anti‐inflammatory properties of the polymers using machine learning algorithms is explored. The study suggests that with appropriate dataset design, machine learning techniques can provide valuable information on
Aghilas Akkache, Lisa Clavier, Oleh Mezhenskyi, Kateryna Andriienkova, Thibaut Soubrié, Philippe Lavalle, Nihal Engin Vrana, Varvara Gribova   +7 more
wiley   +1 more source

Probabilistic multi-Stirling numbers of the second kind associated with random variables

Applied Mathematics in Science and Engineering
This paper investigates a probabilistic extension of the multi-Stirling numbers of the second kind and a ‘poly' version of the probabilistic degenerate Lah-Bell polynomials.
Xiangjing Liu, Yuankui Ma, Taekyun Kim, Dae San Kim, Yanan Hei   +4 more
doaj   +1 more source

Explicit relations on the degenerate type 2-unified Apostol–Bernoulli, Euler and Genocchi polynomials and numbers [PDF]

, 2023
The main aim of this paper is to introduce and investigate the degenerate type 2-unified Apostol–Bernoulli, Euler and Genocchi polynomials by using monomiality principle and operational methods.
Burak Kurt
core   +2 more sources