Poly(N-isopropylacrylamide) beads synthesis with nanoparticles embedded for the implementation of shrinkable medical microrobots for biomedical applications
Bibliographic record
Abstract
This paper describes the synthesis of thermoresponsive hydrogel bead for the implementation of untethered medical microrobots and other microdevices. These entities will have magnetic nanoparticles embedded, and will be targeted inside the body with an adapted Magnetic Resonance Imaging (MRI) system, and then triggered by the application of an alternating magnetic field for various functions, including but not limited to drug delivery and release. A method is presented here to synthesize PNIPA particles, within alginate mold, which can be dissolved when hydrogel is completely polymerized and particles with diameter around 1mm are synthesized, with possibility of reducing the size with an electrostatic fields. Interesting volume losses has been recorded, depending of the crosslinker concentration. Hydrogel with nanoparticles embedded has also been synthesized, without affecting the polymerization, and with no significant effect on the volume change. Finally, transition temperature has been increase over the body temperature by copolymerization with acrylic acid.
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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 | 0.001 |
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".