Propulsion experimental Research on the Structure of Swordfish’s Lunate Caudal Fin
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".