Results 71 to 80 of about 188,818 (285)
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Multiple-Conclusion System as Communication Calculus
AbstractFollowing the so-called inversion principle of Gentzen-Prawitz, we demonstrate that multiple-conclusion system of classical logic can be naturally regarded as a communication calculus. For the motivation, we first introduce a hierarchical structure for representing an abstract structure of classical proofs.
openaire +2 more sources
Posterior analysis for some classes of nonparametric models [PDF]
Recently, James [15, 16] has derived important results for various models in Bayesian nonparametric inference. In particular, he dened a spatial version of neutral to the right processes and derived their posterior distribution. Moreover, he obtained the
Antonio Lijoi +2 more
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Fractional Hermite–Hadamard Inequalities in Non-Newtonian Calculus Focusing on h-GG-Convex Functions
The aim of this paper is to develop new Hermite–Hadamard–type inequalities within the framework of fractional GG-multiplicative calculus. By employing the GG-multiplicative Riemann–Liouville fractional integral operators, we introduce a novel class of ...
Bouharket Benaissa +3 more
doaj +1 more source
Multiplicative Fractional Hermite–Hadamard-Type Inequalities in G-Calculus
This paper extends Hermite–Hadamard-type inequalities to the fractional multiplicative framework of G-calculus. Using multiplicative Riemann–Liouville fractional integrals, we introduce a notion of multiplicative convexity and establish fractional ...
Abdelghani Lakhdari, Wedad Saleh
doaj +1 more source
An Inverse Problem of the Calculus of Variations for Multiple Integrals [PDF]
A function f thus related to a given partial differential equation with self-adjoint equation of variation will for brevity be referred to as associated with the given equation. Kiirschak,? utilizing the method of Hirsch, extended the latter's theorem to partial differential equations of the form (1.5) ,xn,z,,F(xi, * XnyZyply * * *pn,p1n,pl2, * * pnn)=?
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Numerical Approximation Methods using Multiplicative Calculus [PDF]
Doctor of Philosophy in Applied Mathematics and Computer Science. Thesis (Ph.D.)--Eastern Mediterranean University, Faculty of Arts and Sciences, Dept. of Mathematics, 2015. Supervisor: Assist. Prof. Dr.
Aktöre, Hatice
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