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Record W2390506438

PREPARATION OF MAGNETIC COMPOSITE MICROSHERES BY SOAP-FREE EMULSION POLYMERIZATION IN THE PRESENCE OF 1,1-DIPHENYLETHENE

2010· article· en· W2390506438 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueActa Polymerica Sinica · 2010
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsScience North
Fundersnot available
KeywordsMaterials scienceComposite numberPolymerizationEmulsion polymerizationCopolymerThermogravimetric analysisMethyl methacrylatePolymer chemistryAcrylic acidMagnetic nanoparticlesChemical engineeringComposite materialNanoparticleNanotechnologyPolymer
DOInot available

Abstract

fetched live from OpenAlex

The magnetic composite microspheres,which had no surface active agents on the surface and were more suitable for use of biomedicine,were prepared by a simple method——DPE method. In the preparation of 1,1-diphenylethene ( DPE ),methyl methacrylate ( MMA ) and acrylic acid ( AA ) took place soap-free polymerization,and the living short copolymer chains,which could chelate with Fe3O4,were prepared. Then Fe3O4were added,the living short copolymer chains were chelated to the surface of Fe3O4. The subsequent polymerization could take place on the surface of the Fe3O4,then the magnetic composite microspheres were prepared. The effects of AA,DPE,Fe3O4 and initiator were investigated in detail. With the increase of AA,DPE and initiator,the morphology of magnetic composite microspheres improved and then declined. The morphology of magnetic composite microspheres had no big change with addition of Fe3O4,but the magnetic content increased obviously. The magnetic composite microspheres,prepared in optimum conditions,were characterized by transmission electronic microscopy ( TEM ),thermogravimetric analysis ( TGA ) and vibrating sample magnetometer (VSM). The results showed that for these magnetic composite microspheres the magnetic content was about 20% ,the specific saturation magnetization was about 32. 2 emu /g,the average size was 265 nm and there were no any impurity on their surface.

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.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.534

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.258
Teacher spread0.251 · 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