Survey and Evaluation of Diopside Nanostructure (DSN) Bioactivity in Biomedical Application
Bibliographic record
Abstract
Diopside (DS) is a monoclinic pyroxene mineral with composition MgCaSi2O6. Lately,diopside (DS) has beenintroduced as a bioceramics due to its best bioactivity and biocompatibility. It has a good strength andtoughness than those of hydroxyapatite (HT). In this project, bioactivity of diopside (DS) powder wereevaluated and investigated. For synthesized of diopside (DS) powder, magnesium (Mg), calcite (CaCO3)and nano silicium (SiO2) powders was mechanically activate for different times. After that, the preparedpowders were blended with ammonium chloride (NH4Cl) and put on various temperatures. In this part, forsurvey of bioactivity evaluation, the obtained dioside (DS) powders were pressed and immersed in Kukobosolution (SBF)The results indicated that nano-struacture diopside powder with crystalline size is 40 nm.The apatite formation ability, bioactivity and better mechanical behavior make it a good candidate in boneimplant materials and open new insights in biomedicalapplications.
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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 | 0.001 | 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".