Evidence map›Paper›PMID 41446268›Full record

ArticlebioRxiv : the preprint server for biology2025

Efficient calculation of fluid transport in porous media with moving boundaries.

Huabing Li, Wenjie Lu, Badr Kaoui, James W Baish, Lance L Munn

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Huabing LiGuangxi Key Laboratory of Information Materials, Guangxi Collaborative Innovation Center of Structure and Property for New Energy Materials, Department of Material Science and Technology, Guilin University of Electronic Technology, Guilin 541004, P R China.
Wenjie LuGuangxi Key Laboratory of Information Materials, Guangxi Collaborative Innovation Center of Structure and Property for New Energy Materials, Department of Material Science and Technology, Guilin University of Electronic Technology, Guilin 541004, P R China.
Badr KaouiBiomechanics and Bioengineering Laboratory, CNRS, Universite'de Technologie de Compie'gne, 60200 Compie'gne, France.
James W BaishBiomedical Engineering, Bucknell University, Lewisburg, PA.
Lance L MunnDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0003-0698-7232

Funding

Targeting physical stress-driven mechanisms to overcome glioblastoma treatment resistanceU01CA261842 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI JAIN, RAKESH K., MUNN, LANCE L. · 2021 to 2025
$3.1M
Systems Biology of Antigen and T-Cell Transport in Cancer ImmunotherapyR01CA284603 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Lance L. Munn, TIMOTHY P PADERA · 2023 to 2026
$1.9M
NCI NIH HHS R01 CA284603NCI NIH HHS U01 CA261842
6 · The paper itself

Abstract

A novel hybrid model combining the lattice Boltzmann (LB) and finite difference (FD) methods is proposed to simulate transport in through a junction of actively contracting lymphatic vessels, while also handling flow of interstitial liquid in the surrounding porous tissue. Details of the dynamically flexing walls and valves in the lymphatic vessel and its near vicinity are modeled using a high-resolution LB method, whereas overall efficiency was significantly improved by using low-resolution FD in the larger tissue domain distant from the vessel. Pressure and velocity conditions at the interface between subdomains of the two numerical methods are matched by imposing a partial bounce-back ratio in LB corresponding to the permeability coefficient

Identifiers

PMID41446268
PMCPMC12724617

What OpenQuestion holds

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Registered trials

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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.