Ultrasound Image-guided, High-intensity Focused Ultrasound for Remote Controlled Modification of Polylactic Acid Films
Bibliographic record
Abstract
The intrinsic degradation times of biodegradable polymers are not ideal for many temporary implants. Here, ultrasound-guided, high-intensity focused ultrasound (USgHIFU) was investigated as a remote and precise means to modify the mechanical properties of biodegradable polylactic acid (PLA) films to induce stent failure. USgHIFU delivered for 120 seconds, at a power of 150 watts and 100% duty cycle reduced tensile strength and strain at break of PLA films by 21 ± 9% and 98 ± 55%, respectively. Consistent large strain at break reductions in particular support the potential for stent material failure to be achieved. This reduction was likely due to the creation of defects in PLA films at the target from localized HIFU effects. These results support further investigation of USgHIFU to modify mechanical properties of biodegradable polymer-based structures such that future implants can be removed at time points tailored to meet the requirements of their end applications.
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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 | 0.000 |
| 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) | 0.001 | 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".