Numerous approximations of Riemann-Stieltjes double integrals [PDF]
Mohammad W. Alomari
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A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs
ABSTRACT We introduce a test for the overall effect of interaction between DNA methylation and a set of single nucleotide polymorphisms on a quantitative phenotype. The developed inference procedure is based on a functional approach that extend existing regression models in functional data analysis.
Yvelin Gansou +3 more
wiley +1 more source
Design of a fractional-order sliding mode controller for lane- keeping in autonomous driving. [PDF]
Wu W, Huang S, Qin J, Yang H, Xu C.
europepmc +1 more source
The Discouraging Effect of Overconfidence
ABSTRACT Overconfidence is often viewed as encouraging entrepreneurs and CEOs to follow risky strategies such as entering new markets, engaging in innovation, or pursuing mergers and acquisitions. While such undertakings can generate excess returns and profits, overconfidence is frequently offered as an explanation for why so many business ventures ...
Cary Deck, Klajdi Bregu
wiley +1 more source
Quadrature Formulas for the Calculation of the Riemann-Liuville Fractional Integral [PDF]
A. F. Galimyanov +2 more
openalex
Deleting Items and Disturbing Mesh Theorems for Riemann Definite Integral and Their Applications [PDF]
Jingwei Liu, Yi Liu
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Imagined Chinese Speech Decoding Based on Initials and Finals From EEG Activity
Brain‐computer interface (BCI) plays an important role in various fields, such as neuroscience, rehabilitation, and machine learning. The silent BCI, which can reconstruct inner speech from neural activity, holds great promise for aphasia patients. In this paper, we design an imagined Chinese speech experimental paradigm based on initials and finals ...
Jingyu Gu +4 more
wiley +1 more source
Investigation of closed form solitons for the stochastic Chavy-Waddy-Kolokolnikov equation in bacterial aggregation. [PDF]
Nawaz S +4 more
europepmc +1 more source
Vector‐Based and Machine Learning Approaches for Pore Network Parameters Analysis
ABSTRACT Accurate characterization of pore structures in carbonate rocks is critical for evaluating fluid flow and storage capacity in subsurface reservoirs, a key concern in geophysical exploration and reservoir engineering. This study proposes a hybrid digital rock physics workflow that integrates deep learning–based segmentation, vectorial geometric
José Frank V. Gonçalves +4 more
wiley +1 more source

