Influence of Tubular Braid’s Structures on Wicking Behaviours: An Experimental Investigation
Bibliographic record
Abstract
Abstract Avoiding wicking in a suture to recover the wound and avoid infection is critical. In this paper, the capillary rise method is applied to evaluate the wicking property of tubular braided structures. Effects of the tubular braid’s structural parameters, namely braid angle, interlacement pattern, structural axis, and the position of the yarns parallel to the axis are investigated. The results indicate that with the increase in braid angle, the wicking height descends and has the greatest effect on the wicking property among the studied parameters. It is also observed that under the same braid angle, the wicking height of the Two over Two braid is larger than the regular braid. Moreover, the presence of core yarns in a braided structure increases the wicking height. Among the studied parameters, the structural axis does not have a significant effect on this behavior. The results of statistical study confirm the experimental data and show that it is better to use biaxial braided structures with a regular pattern in the production of braided sutures. This work not only examines some factors effect on a vital feature of the braided suture but also underlines the importance of choosing the braid suture. Graphical abstract
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 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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".