Surface Reaction of Magnesium in Hank's Solutions
Bibliographic record
Abstract
As magnesium is an essential element, magnesium implants can be expected to be safety though its corrosion resistance is low To understand its corrosion behavior in vitro circumstance, for example Hank's solution and to improve its corrosion resistance, the present study was carried out. Specimens of 10 X 20 X (2-4) mm 3 were dipped in two kinds of Hank's solutions (without Ca and Mg ions - HBSS(-) and with Ca and Mg ions - HBSS(+)) for various periods (25 - 625 hours or to 1080 hours). Ratio of change of mass of each specimen was measured, the surface microstructure was observed by a scanning electron microscope, identification of corrosion product was examined by both techniques of an x-ray diffraction and a grazing incident x-ray diffraction Chemical composition of reacted products was also analyzed by an energy dispersion x-ray technique AZ91 alloy maintains a good corrosion resistance in both of HBSS(-) and HBSS(+) though AZ31 was completely melted within 4 days Oxidized commercial pure Mg (3N-Mg) behaved stably good corrosion resistance in HBSS(+) though 3N-Mg did unstably corrosion resistance in HBSS(+) Magnesium reacted with HBSS(+) or (-) and then a certain substance was formed on the specimen surface. The substance consisted of Mg and P in HBSS(-), or of Mg, P, and Ca in HBSS(+) However, x-ray diffraction couldn't unfortunately identify many peaks, which showed the substance in content of Mg, P, or Ca. It can be succeeded to prepare crown and denture for dental use. The present study can conclude that magnesium is possible to apply to a biomaterial in the near future.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".