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Record W1983004268 · doi:10.6000/1927-5129.2015.11.41

Surface Functionalization of Gold Nanoparticles for Physical Antibiotics Coping with Antibiotic-Resistant Bacteria

2015· article· en· W1983004268 on OpenAlexvenueno aff
Yujiro Naruse

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicBacteriophages and microbial interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSurface modificationAntibioticsBacteriaPeptidoglycanColloidal goldNanotechnologyNanoparticleMaterials scienceMicrobiologyChemistryBiology

Abstract

fetched live from OpenAlex

Surface functionalization of gold nanoparticles is theoretically investigated in order to develop physical antibiotics coping with antibiotic-resistant bacteria. The core concept of the physical antibiotics is based on the design strategy utilizing molecular elements in peptidoglycan for surface functionalization of gold nanoparticles. These gold nanoparticles will couple to peptidoglycan easily during the proliferation or growth of the bacteria, leading to the destruction of cell walls. Additionally, physical fields (electromagnetic wave, X-ray or ultrasound) bring enhanced suppression of the proliferation. This strategy allows us to have wide variety of antibiotics designs and the suppression against the outbreak of antibiotic-resistant bacteria.

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 score0.019
Threshold uncertainty score0.249

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 science0.0000.000
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 head0.028
GPT teacher head0.264
Teacher spread0.235 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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