MétaCan
Menu
Back to cohort

Propulsion experimental Research on the Structure of Swordfish’s Lunate Caudal Fin

2010· article· en· W1955249840 on OpenAlexvenueno aff
Qingping Liu, Luquan Ren, Kun Chen, Geng-hua Liao, Ying Yang, Jianqiao Li, Zhiwu Han

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2010
Typearticle
Languageen
FieldEngineering
TopicBiomimetic flight and propulsion mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsSwordfishFinPropulsionLunateSwingFish finRADIUSTurning radiusMarine engineeringAnatomyMathematicsEngineeringFish <Actinopterygii>BiologyComputer scienceAerospace engineeringMechanical engineeringFisheryWrist

Abstract

fetched live from OpenAlex

Swordfish is the fastest fish in the world, which can reach a high speed of 110km/h. Depending on the swing of the caudal fin, swordfish gets the power of swimming. The caudal fin of the swordfish shows crescent and wide broadening which exceed the highest part of the body. The unique caudal fin of the swordfish and the way of swing are the main reasons for swimming fast. By testing and analyzing the structure of caudal fin of swordfish, it is built the parametric description of the geometric structure .R1 and R2 are radius of the two circles, and that R1<R2, A is center distance of two circles. The two circles intersect to form the shape of crescent. This research choose the R1、R2 and A as parameters, then make a geometric shape description of crescent.The research optimizes the structure parameter of swordfish’s caudal fin by the method of experimental optimization. The experiment result shows that the smaller aspect ratio may have grater propulsion (R2 much bigger than R1, aspect ratio close to 2) when the swing frequency above the 2Hz and the increasing aspect ratio may enhance the propulsion when the swing frequency below the 2Hz.Keywords: Propulsion; Lunate Caudal Fin; Optimization; Swordfish

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0010.004
Scholarly communication0.0000.003
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.339
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in natural science/Advances in natural sciencesSame topicBiomimetic flight and propulsion mechanismsFrench-language works237,207