Evidence map›Paper›PMID 38811673›Full record

ArticleScientific reports2024

Spatial confinement affects the heterogeneity and interactions between shoaling fish.

Gabriel Kuntz, Junxiang Huang, Mitchell Rask, Alex Lindgren-Ruby, Jacob Y Shinsato, Dapeng Bi, A Pasha Tabatabai

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

7 authors.

Gabriel KuntzDepartment of Physics, Seattle University, Seattle, WA, 98122, USA.
Junxiang HuangDepartment of Physics, Northeastern University, Boston, MA, 02115, USA.
Mitchell RaskDepartment of Physics, Seattle University, Seattle, WA, 98122, USA.
Alex Lindgren-RubyDepartment of Physics, Seattle University, Seattle, WA, 98122, USA.
Jacob Y ShinsatoDepartment of Physics, Seattle University, Seattle, WA, 98122, USA.
Dapeng BiDepartment of Physics, Northeastern University, Boston, MA, 02115, USA.
A Pasha TabatabaiDepartment of Physics, Seattle University, Seattle, WA, 98122, USA. pashatab@calpoly.edu.

Funding

M.J. Murdock Charitable Trust FSU-201913717National Science Foundation 2137509National Science Foundation DMR-2046683
6 · The paper itself

Abstract

Living objects are able to consume chemical energy and process information independently from others. However, living objects can coordinate to form ordered groups such as schools of fish. This work considers these complex groups as living materials and presents imaging-based experiments of laboratory schools of fish to understand how activity, which is a non-equilibrium feature, affects the structure and dynamics of a group. We use spatial confinement to control the motion and structure of fish within quasi-2D shoals of fish and use image analysis techniques to make quantitative observations of the structures, their spatial heterogeneity, and their temporal fluctuations. Furthermore, we utilize Monte Carlo simulations to replicate the experimentally observed data which provides insight into the effective interactions between fish and confirms the presence of a confinement-based behavioral preference transition. In addition, unlike in short-range interacting systems, here structural heterogeneity and dynamic activities are positively correlated as a result of complex interplay between spatial arrangement and behavioral dynamics in fish collectives.

Indexed as

Behavior, AnimalMonte Carlo MethodAnimalsFishesSocial BehaviorSwimming

Identifiers

PMID38811673
PMCPMC11711749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.