Bibliographic record
Abstract
Adenosine is currently limited in its application as a treatment for various cancers since intravenous infusion has not been successful due to enzymatic degradation. Entrapment/association of adenosine into chitosan nanoparticles offers a possible solution to this problem. Chitosan nanoparticles which are formed by ionotropic gelation. \n\nThe size, zeta potential, morphology, entrapment efficiency, and in vitro drug release were investigated. In the swollen state, nanoparticle had an average size between 425 to 515 nm and a positive zeta potential, as measured by dynamic light scattering. Particle size measured by transition electron microscopy varied between 135 to 183 nm. Average entrapment efficiency in the range of 72 to 78% was achieved depending on initial adenosine loading and an average association efficiency of 84%. Release studies show that more than 98% of the adenosine remained entrapped/associated with the chitosan nanoparticles for at least 120 hours in PBS (pH 7.4).
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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; a candidate call from one teacher head, 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".