Effect of Rotation on Seeds’ Self-Burial Process: Insights from DEM Simulations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Seeds of some flowering plants such as Erodium and Pelargonium can bury itself into the ground for future germination. The self-burial behavior is realized due to hygroscopic coiling and uncoiling of the awns. It is hypothesized that the rotating motion due to the changing of the helical structure of the awn reduces penetration resistance of the seed via breaking the local force chains in soil. In this study, this hypothesis is tested using a DEM model, which allows investigating the interaction between a penetrator and the granular material at different scales. The DEM model was first calibrated and validated using existing laboratory triaxial test data of Ottawa sand. A cone was then penetrated into the calibrated soil sample vertically with different rotational speeds. It was observed that the rotational movement can significantly reduce the penetration resistance, and the reduction becomes more pronounced at higher rotational speeds. From particle scale analysis, the force chain and particle velocity field of the soil sample were investigated, and comparisons were made among cases, which shed light on the fundamental mechanism of the reduction effect.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 it