Evidence map›Paper›PMID 36975328›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Smart Biomechanical Adaptation Revealed by the Structure of Ostrich Limb Bones.

Simone Conti, Giuseppe Sala, Octavio Mateus

Full text read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Simone ContiGEOBIOTEC, Department of Earth Sciences, NOVA School of Science and Technology, Campus de Caparica, 2829-516 Caparica, Portugal.ORCID 0000-0002-4296-9106
Giuseppe SalaDepartment of Aerospace Science and Technology, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy.
Octavio MateusGEOBIOTEC, Department of Earth Sciences, NOVA School of Science and Technology, Campus de Caparica, 2829-516 Caparica, Portugal.ORCID 0000-0003-1253-3616

Funding

Fundação para a Ciência e Tecnologia SFRH/BD/146336/2019
6 · The paper itself

Abstract

Ostriches are known to be the fastest bipedal animal alive; to accomplish such an achievement, their anatomy evolved to sustain the stresses imposed by running at such velocities. Ostriches represent an excellent case study due to the fact that their locomotor kinematics have been extensively studied for their running capabilities. The shape and structure of ostrich bones are also known to be optimized to sustain the stresses imposed by the body mass and accelerations to which the bones are subjected during movements. This study focuses on the limb bones, investigating the structure of the bones as well as the material properties, and how both the structure and material evolved to maximise the performance while minimising the stresses applied to the bones themselves. The femoral shaft is hollowed and it presents an imbricate structure of fused bone ridges connected to the walls of the marrow cavity, while the tibial shaft is subdivided into regions having different mechanical characteristics. These adaptations indicate the optimization of both the structure and the material to bear the stresses. The regionalization of the material highlighted by the mechanical tests represents the capability of the bone to adapt to external stimuli during the life of an individual, optimizing not only the structure of the bone but the material itself.

Indexed as

biomimesismaterial propertiesmechanical performancesostrichstructural adaptation

Identifiers

PMID36975328
PMCPMC10046004

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read20
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.