Evidence map›Paper›PMID 28765532›Full record

ArticleScientific reports2017

Physarum machines imitating a Roman road network: the 3D approach.

Vasilis Evangelidis, Jeff Jones, Nikolaos Dourvas, Michail-Antisthenis Tsompanas, Georgios Ch Sirakoulis, Andrew Adamatzky

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. Article
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

6 authors.

Vasilis EvangelidisResearch and Innovation Centre "Athena", Institute for Language and Speech Processing, Xanthi, GR67100, Greece.
Jeff JonesUniversity of the West of England, Bristol, BS16 1QY, United Kingdom.
Nikolaos DourvasLaboratory of Electronics, Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, GR67100, Greece.
Michail-Antisthenis TsompanasUniversity of the West of England, Bristol, BS16 1QY, United Kingdom.
Georgios Ch SirakoulisLaboratory of Electronics, Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, GR67100, Greece. gsirak@ee.duth.gr.ORCID 0000-0001-8240-484X
Andrew AdamatzkyUniversity of the West of England, Bristol, BS16 1QY, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physarum Polycephalum is a single cell visible by unaided eye. This is a plasmodial, vegetative stage of acellular slime mould. This single cell has myriad of nuclei which contribute to a network of bio-chemical oscillators responsible for the slime mould's distributed sensing, concurrent information processing and decision making, and parallel actuation. When presented with a spatial configuration of sources of nutrients, the slime mould spans the sources with networks of its protoplasmic tube. These networks belong to a family of planar proximity graphs. The protoplasmic networks also show a degree of similarity to vehicular transport networks. Previously, we have shown that the foraging behaviour of the slime mould can be applied in archaeological research to complement and enhance conventional geographic information system tools. The results produced suffered from limitation of a flat substrate: transport routes imitated by the slime mould did not reflect patterns of elevations. To overcome the limitation of the 'flat world' we constructed a three-dimensional model of Balkans. In laboratory experiments and computer modelling we uncovered patterns of the foraging behaviour that might shed a light onto development of Roman roads in the Balkans during the imperial period (1st century BC - 4th century AD).

Identifiers

PMID28765532
PMCPMC5539195

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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.