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Record W2363539126

Effect of Silicon Coupling Agent on Properties of Bacteriostasis and Thermal Degradation of Nano-ZnO/PLA Composite

2014· article· en· W2363539126 on OpenAlexaff
Liu Ying-yin

Bibliographic record

VenueGōsei jushi · 2014
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsScience North
Fundersnot available
KeywordsComposite numberMaterials scienceDegradation (telecommunications)DispersityNano-ThermalThermal decompositionComposite materialSiliconCoupling (piping)Chemical engineeringPolymer chemistryChemistryOrganic chemistryOptoelectronics
DOInot available

Abstract

fetched live from OpenAlex

Nano-ZnO /PLA composite was prepared with nano-ZnO as fillers whose surfaces were modified by silicon coupling agent KH550. The effects of KH550 and nano-ZnO on the properties of mechanics,bacteriostasis,and thermal stabilities of PLA composite were explored. The thermal degradation behaviors of the composite were analysized by using OFW method. The results indicated that the nano-ZnO /PLA composite played a bacteriostasis role on Escherichia coli. The dispersity and bacteriostasis of nano-ZnO were improved after surface modified by KH550,the interface compatibilities and the mechanical properties of the composite were enhanced as well. The thermal decomposition temperatures and the thermal degradation activation energies of PLA were decreased by nano-ZnO. However,these actions were delayed by KH550.

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)0.001
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 score0.033
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.019
GPT teacher head0.218
Teacher spread0.199 · 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
Published2014
Admission routes1
Has abstractyes

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