Inhibition of bacterial adhesion to biomaterials by cranberry derived proanthocyanidins
Bibliographic record
Abstract
Nosocomial, or hospital acquired, infections, are ubiquitous within the modern clinical setting leading to over $5 billion annually of related healthcare costs in North America. All indwelling devices are highly susceptible to bacterial colonization where physico-chemical interactions between bacteria and biomaterial surfaces have been implicated as determinant factors in the fate of the initial adhesion processes. It has been proposed that by exploiting interference strategies within this critical step of infection the ability to create 'non-infective' biomaterials may be developed. This thesis demonstrates the effectivity of North American cranberry (Vaccinium macrocarpon) derived proanthocyanidins in preventing the adhesion of pathogenic bacteria to biomaterial surfaces. Specifically, using a model of catheter associated urinary tract infection, significant reductions in initial adhesion of uropathogenic Escherichia coli and Enterococcus faecalis to PVC and PTFE were observed. With the application of colloidal theory, a mechanism of steric interference was determined as responsible for these effects. The evidence presented implicates PAC as a molecule of interest for the development of novel biomaterials with increased resistance to bacteria colonization.
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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".