Drug-attached magnetic nanoparticles: Locomotion control and in vivo biocompatibility
Bibliographic record
Abstract
Abstract Magnetic nanoparticles (MNPs) are playing an increasingly important role in the biomedical fields such as the diagnosis, treatment and monitoring of various diseases. Due to the unique properties of MNPs, MNPs with functionalized non-toxic surface coatings can be used for drug delivery in combination with therapeutic drugs or chemical molecules. A novel type of drug-attached magnetic nanoparticle was presented, where insulin was bound to magnetic Fe3O4 nanoparticles (MNPs-Insulin). It was particularly proposed for the future in vivo control to realize the targeted locomotion. The properties of the MNPs-Insulin were characterized by Fourier-transform infrared spectra (FTIR), thermo gravimetric analysis (TGA) and vibrating sample magnetometer (VSM) analysis. The ability of magnetic control was tested in the local motion control system in vitro. The good biocompatibility was certificated by Hematoxylin-eosin staining (HE) on mouse.
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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) | 0.000 | 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 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".