Evidence map›Paper›PMID 41062598›Full record

ArticleScientific reports2025

Evolution of competitive systems in nature.

Chubo Deng, Xian Sun, Rujie Guan, Liang Chang, Hongfeng Yu, Wanxuan Lu, Yingyan Hou, Kun Fu

Abstract read
In one paragraph

Article in Scientific reports, 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

8 authors.

Chubo DengAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China. dengcb@aircas.ac.cn.
Xian SunAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China. sunxian@aircas.ac.cn.ORCID http://orcid.org/0000-0002-0038-9816
Rujie GuanAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Liang ChangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Hongfeng YuAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Wanxuan LuAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Yingyan HouAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.
Kun FuAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China.

Funding

National Natural Science Foundation of China 42301437National Natural Science Foundation of China 62171436
6 · The paper itself

Abstract

Conflict between systems is ubiquitous in nature and throughout the universe, this study presents a novel field-theoretic framework for modeling competitive systems, which simplifies the modeling of interactions between similar objects by treating them as fields, and employs mathematical models to calculate and solve the evolutionary outcomes. The key contribution lies in developing and solving a novel class of nonlinear partial differential equations that incorporate δ-source terms to characterize resource supply processes, and theoretical demonstrate that system evolution converges to three universal regimes(traveling waves, oscillations or stable equilibrium), with phase transition criteria determined by quantitative relationships between eigenvalues and supply parameters. Rigorous theoretical derivations and numerical results demonstrate that the model's computations possess significant generality and applicability, offering a robust framework to explain various antagonistic phenomena observed in nature.

Indexed as

Competitive systemsEvolutionHeat equationMean fieldSupply

Identifiers

PMID41062598
PMCPMC12508175

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.