Degradation Behavior of Nanostructured Stent Materials Using Cold Spray
Bibliographic record
Abstract
Very late stent thrombosis (ST) stent fracture (SF) increases restenosis rate of permanent drug eluting stents (DES). In fact, permanent stents after arterial remodeling (change of artery dimensions during atherosclerosis) process becomes a supportive part inside our body and this idea lead us to develop biodegradable stents which support till arterial remodeling and progressively degrade thereafter. In this research, cold gas dynamic spray technique, simply referred to as cold spray is introduced to spray micro particles on metallic plane and cylindrical substrate. Reference material for permanent stent, stainless steel, 316L is mixed with pure iron in different proportions to induce microgalvanic corrosion effect on as sprayed specimens. Although annealed 316L coatings indicate better ultimate strength, porosity and ductility, their degradation study signifies their poor degradability in Hank’s physiological solution. In contrast to that, immersion and potentiodynamic polarization tests under Hank’s physiological solution indicate that corrosion rate of as sprayed composite increases as amount of iron increases. More iron particles release more iron ions and increases corrosion rate in hanks solution.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".