Optimization of nitrate removal from aqueous solutions using clinoptilolite /CoFe2O4 by surface response methodology
Bibliographic record
Abstract
In this study, Merwinite (MW), has been successfully prepared by a modifiedsol-gel method. Optimization in calcination temperature and mechanical millingresulted in a pure and nano-sized powder which characterized by means of(XRD), (SEM), (TEM) and (FT–IR). We hypothesized that nano-sized MW wouldmimic more efficiently the nanocrystal structure and function of natural boneapatite, owing to the higher surface area, compared to conventional micronsizeMW. Mechanical grinding in a ceramic ball mill for 6 hours resulted in (MW)nanoparticles in the range of about 33- 55 nm. Conventional micron-size MWhad been previously investigated by many researchers but it is obviously differentfrom bone mineral in aspect of mimicking the mineral resorption process. Bonecrystals of natural hydroxyapatite (NHA ) are in nano-size dimensions and possessvery large surface area. In contrast micron-size particles with lower surface arealack the potency of homogeneous absorption by osteoclasts and miss the uniqueadvantage of nanotechnology for bioactivity and resorbability. Hence, we usedthe unique advantage of nano- biotechnology to improve novel nano merwinite(NMW) particles as a good candidate for tissue regeneration whether as a peri -implant filling powder or in combination with other biomaterials as a compositescaffold.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".