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Record W2748311226 · doi:10.11159/tann17.121

Deposited BSA/IgG Conjugated Up-Conversion Nanoparticles by the Matrix-Assisted Pulsed Laser Evaporation (MAPLE)

2017· article· en· W2748311226 on OpenAlexaff
Songlin Yang, Jin Zhang

Bibliographic record

VenueProceedings of the International Conference of Theoretical and Applied Nanoscience and Nanotechnology · 2017
Typearticle
Languageen
FieldEngineering
TopicLaser-Ablation Synthesis of Nanoparticles
Canadian institutionsWestern University
Fundersnot available
KeywordsMapleEvaporationMaterials scienceConjugated systemNanoparticleMatrix (chemical analysis)NanotechnologyComposite materialPolymerPhysics

Abstract

fetched live from OpenAlex

In this paper, the up-conversion nanoparticles were synthesized through chemical method and conjugated with bovine serum albumin (BSA)/ Immunoglobulin G (IgG) through different method. The up-conversion nanoparticles, BSA conjugated upconversion nanoparticles and IgG conjugated up-conversion nanoparticles were deposited by matrix-assisted pulsed laser evaporation (MAPLE) technique. The conjugation/deposition result has been investigated by Transmission electron microscopy (TEM) and Fourier transform infrared spectroscopy (FT-IR). The result of this study demonstrates that MAPLE is a suitable process for depositing organic/biological nanoparticles and the up-conversion nanoparticles could be deposited through MAPLE technique.

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)0.000
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 score0.184
Threshold uncertainty score0.796

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 studies0.0000.002
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 head0.013
GPT teacher head0.228
Teacher spread0.215 · 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
Published2017
Admission routes1
Has abstractyes

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