Evidence map›Paper›PMID 42277136›Full record

ArticleScientific reports2026

Analytical comparisons for solving the modified fractional Kawahara equation: application on numerical simulation of chemical signaling processes.

Faten H Damag, Mohammad Alshammari, Amin Saif, Adem Kiliçman, Hakeem A Othman, Suliman Dawood

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Faten H DamagDepartment of Mathematics, Faculty of Sciences, Ha'il University, Ha'il, 55473, Saudi Arabia.
Mohammad AlshammariDepartment of Mathematics, Faculty of Sciences, Ha'il University, Ha'il, 55473, Saudi Arabia.
Amin SaifDepartment of Mathematics, Faculty of Applied Sciences, Taiz University, Taiz, Yemen. aminsaif.sanawy@taiz.edu.ye.
Adem KiliçmanSchool of Mathematical Sciences, College of Computing, Informatics and Mathematics, Selangor, Malaysia.
Hakeem A OthmanDepartment of Mathematics, Albaydah University, Albaydah, Yemen.
Suliman DawoodDepartment of Mathematics, Faculty of Education, Hodeidah University, Hodeidah, Yemen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fractional models are essential for describing nonlinear, memory dependent wave phenomena in complex media, yet solving high order fractional nonlinear PDEs such as the Modified Caputo Fractional Kawahara Equation (MCFKE) remains challenging. This work introduces the Yang Residual Power Series Method (Yang RPSM), which integrates the Yang transform with a residual-based power series expansion to generate efficient semi-analytical solutions. Stability and convergence of the iterative scheme are established. Numerical comparisons show that the Yang RPSM outperforms natural transform decomposition technique (NTDT) and homotopy analysis technique (HAT) in accuracy and computational behavior. Applications to intracellular Ca[Formula: see text] propagation further demonstrate that the MCFKE effectively captures memory effects, nonlinear wave steepening, and dispersion-driven attenuation. The Yang RPSM provides a reliable computational tool for high order fractional PDEs and highlights the MCFKE as a biologically meaningful model for anomalous, memory driven wave processes.

Indexed as

Caputo Derivative operatorResidual power seriesYang transform

Identifiers

PMID42277136
PMCPMC13503792

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.