Results 51 to 60 of about 30,240 (156)

Prediction of fishbone linear instability in tokamaks with machine learning methods

Nuclear Fusion
A machine learning based surrogate model for fishbone linear instability in tokamaks is constructed. Hybrid simulations with the kinetic-magnetohydrodynamic (MHD) code M3D-K is used to generate the database of fishbone linear instability, through ...
Z.Y. Liu, H.R. Qiu, G.Y. Fu, Y. Xiao, Y.C. Chen, Z.J. Wang, Y.X. Wei   +6 more
doaj   +1 more source

Certain inequalities for the modified Bessel-type function

Journal of Inequalities and Applications, 2019
We establish some new inequalities for the modified Bessel-type function λν,σ(β)(x) $\lambda _{\nu ,\sigma }^{(\beta )} (x )$ studied by Glaeske et al. [in J. Comput. Appl. Math.
Min-Jie Luo, Ravinder Krishna Raina
doaj   +1 more source

Research on the coupling coordination characteristics and convergence of digital finance and regional sustainable development: evidence from Chinese city clusters

Scientific Reports
The study examines the digital finance (DF) and regional sustainable development (RSD) across 90 cities within six major city clusters in China over the period from 2011 to 2020.
Qiguang An, Yongkai Wang, Qinggang Meng, Ruoyu Wang, Qian Xie   +4 more
doaj   +1 more source

Enhancing Quantile Function Estimation with Beta-Kernel Smoothing

Statistics and Computing
Abstract This paper introduces a class of nonparametric quantile function estimators based on Beta kernel smoothing. We conduct a rigorous investigation into their large-sample properties, including asymptotic normality and mean squared equivalence to existing methods.
Juan Li, Ping Yu, Jianhong Shi, Weixing Song   +3 more
openaire   +1 more source

Variations in Kojic Acid Production and Corn Infection Among Aspergillus flavus Isolates Suggest a Potential Role as a Virulence Factor

Toxins
Kojic acid is a secondary metabolite with strong chelating and antioxidant properties produced by Aspergillus flavus and A. oryzae. Although antioxidants and chelators are important virulence factors for plant pathogens, the ecological role of kojic acid
Rebecca R. Sweany, Matthew K. Gilbert, Carol H. Carter-Wientjes, Geromy G. Moore, Matthew D. Lebar   +4 more
doaj   +1 more source

Stringy KLT Relations on AdS

Journal of High Energy Physics
We study the building blocks of open and closed string amplitudes on AdS. These are given by two infinite towers of world-sheet integrals generalising the Euler and complex beta functions respectively. We show that the open and closed building blocks are
Luis F. Alday, Maria Nocchi, Aurélie Strömholm Sangaré   +2 more
doaj   +1 more source

Mathematical Foundations of Beta Diversity: Why Common Metrics Fail in Microbiome Analysis

Journal of Statistical Theory and Applications (JSTA)
In microbiome studies, beta diversity quantifies dissimilarity between samples and is often visualized using ordination techniques. It enables researchers to characterize ecological structure, compare microbial communities, assess environmental or host ...
Zihan Zhu, Yiqian Zhang, Wenhao Li, Michael Greenacre, Satabdi Saha, Yushu Shi, Liangliang Zhang   +6 more
doaj   +1 more source

Identification of sources of resistance against Aspergillus flavus and aflatoxin contamination in maize cultivars using molecular and kernel screening assay

Scientific African
Maize (Zea mays L.) is a main cereal crop for livestock and human consumption worldwide. Maize production must increase by 70 % by 2050 to feed the growing population.
Seuri Losieki Mollel, Liberatus Dominick Lyimo, Rashid Suleiman   +2 more
doaj   +1 more source

Optimal inverse Beta(3,3) transformation in kernel density estimation

SORT- Statistics and Operations Research Transactions, 2010
A double transformation kernel density estimator that is suitable for heavy-tailed distributions is presented. Using a double transformation, an asymptotically optimal bandwidth parameter can be calculated when minimizing the expression of the asymptotic mean integrated squared error of the transformed variable. Simulation results are presented showing
openaire   +5 more sources

BKP: An R Package for Beta Kernel Process Modeling

We present BKP, a user-friendly and extensible R package that implements the Beta Kernel Process (BKP) -- a fully nonparametric and computationally efficient framework for modeling spatially varying binomial probabilities. The BKP model combines localized kernel-weighted likelihoods with conjugate beta priors, resulting in closed-form posterior ...
Zhao, Jiangyan, Qing, Kunhai, Xu, Jin
openaire   +2 more sources