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Record W2937284833 · doi:10.22034/jna.2018.545419

Survey and Evaluation of Diopside Nanostructure (DSN) Bioactivity in Biomedical Application

2018· article· en· W2937284833 on OpenAlexaff
Hassan Gheisari, Ebrahim Karamian, Ali Soheily

Bibliographic record

VenueJournal of Nanoanalysis · 2018
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDiopsideApatiteMaterials scienceBiocompatibilityMineralogyPyroxeneCalciteMagnesiumChemical engineeringMetallurgyNuclear chemistryChemistryOlivine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.270
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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