BIOMECHANICS OF SUPERPARAMAGNETIC NANOPARTICLES FOR LASER HYPERTHERMIA
Bibliographic record
Abstract
Nanoparticle hyperthermia treatment is progressing with the passage of time, and with the development in the field of hybrid nanoparticles synthesis. The transient heat transfer in magnetite–graphene nanocomposite in three dimension under conduction is studied during this research. The proposed model is simulated in finite element solver framework. Novel hybrid nanoparticles were synthesized. Their chemical properties and their heat transfer properties were examined. By mathematical modeling results, the effective hybrid nanoparticle is chosen that can be used as a drug in hyperthermia process. Current developments in nanotechnology have improved the ability to precisely modify the features and properties of MNPs for these biomedical applications. The accurate control on the magnetic properties of the particle is the key in hyperthermia applications. By these magnetic particles, wished temperature can be achieved for laser hyperthermia. In this paper, study is done for understanding the properties and novelty of the new nanoparticles. The merits and demerits of synthesized hybrid nanoparticles are also discussed either the composites can used as a drug or not.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".