Evidence map›Paper›PMID 30574009›Full record

ArticleJournal of WSCG2018

A Dynamic Non-Manifold Mesh Data Structure to Represent Biological Materials.

Endre Somogyi

Abstract read
In one paragraph

Article in Journal of WSCG, 2018. 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

1 author.

Endre SomogyiDept. of Intelligent Systems Engineering, Indiana University Bloomington, IN 47405, somogyie@indiana.edu.

Funding

Competitive Renewal of Development, Improvement and Extension of the Tissue Simulation Environment - CompuCell3DR01GM122424 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER · 2017 to 2020
$1.7M
NIGMS NIH HHS R01 GM122424
6 · The paper itself

Abstract

Computational models of biological materials enable researchers to gain insight and make testable predictions of quantitative dynamic responses to stimuli. These models are particularly challenging to develop because biological materials are (1) highly heterogeneous containing both biological cells and complex substances such as extra-cellular medium, (2) undergo structural rearrangement (3) couple biological cells with their environment via chemical and mechanical processes. Existing numerical approaches excel at either describing biological cells or solids and fluids, but have difficulty integrating them into a single simulation approach. We present a novel dynamic non-manifold mesh data structure that naturally represents biological materials with coupled chemical and mechanical processes and structural rearrangement in a unified way.

Indexed as

Biological SimulationDynamic MeshingFinite Element SimulationPhysically Based Modeling

Identifiers

PMID30574009
PMCPMC6298431

What OpenQuestion holds

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Registered trials

None linked

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.