Results 231 to 240 of about 116,470 (286)

Thirty years of public speaking anxiety research: topic modeling and semantic trend forecasting using LDA-Word2Vec integration. [PDF]

Front Hum Neurosci
Lin M, Sun Y, Chen L.
europepmc   +1 more source

Transport of degradable contaminants in a composite vertical cut-off wall under nonlinear adsorption conditions. [PDF]

Sci Rep
Lin H, Ouyang S, Huang J, Li Q.
europepmc   +1 more source

Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity. [PDF]

Psychometrika
Suh YS, Bonifay W, Cai L.
europepmc   +1 more source

Microstructure.jl: A Julia package for probabilistic microstructure model fitting with diffusion MRI. [PDF]

Imaging Neurosci (Camb)
Gong T, Yendiki A.
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The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review.

J Med Internet Res
Feizollah A, Lin CY, O'Malley L, Thompson W, Listl S, Byrne M.   +5 more
europepmc   +1 more source

Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse.

J Med Internet Res
Shankar R, Xu Q, Bundele A.
europepmc   +1 more source

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Schlicht Dirichlet Series

Canadian Journal of Mathematics, 1958
For power series(1.1) for which(1.2),it has been known for four decades (1) that ƒ(z) is regular and univalent or schlicht in |z| < 1. This theorem, due to J. W. Alexander, has more recently been studied by Remak (5) who has shown that w = ƒ(z), under the hypothesis (1.2), maps |z| < 1 onto a star-like region, and if (1.2) is not satisfied=(z ...
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Dirichlet Series

2014
Mathematicians are very interested in prime numbers. In this snapshot, we will discuss some problems concerning the distribution of primes and introduce some special infinite series in order to study them.
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Chebyshev Subspaces of Dirichlet Series

Moscow University Mathematics Bulletin, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Regularly Increasing Entire Dirichlet Series

Mathematical Notes, 2003
Let \(F(s)=\sum_{n=0}^\infty a_ne^{s\lambda_n}\), \(s=\sigma+it\in\mathbb C\), be an entire Dirichlet series with \(\lambda_0=0\leq\lambda_n\nearrow+\infty\). Put \(M(\sigma):=\max\{| F(\sigma+it)| : t\in\mathbb R\}\), \(\mu(\sigma):=\max\{| a_n| e^{\sigma\lambda_n}: n\geq0\}\).
Filevich, P. V., Sheremeta, M. N.
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