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Record W7135723472

Antimicrobial efficacy of quaternary ammonium salts

2024· dissertation· cs· W7135723472 on OpenAlexaboutno aff
Michaela Hympánová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2024
Typedissertation
Languagecs
FieldEnvironmental Science
TopicEnvironmental Chemistry and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAntimicrobialBroth microdilutionAmmoniumBiofilmBacteriaAntibacterial activity
DOInot available

Abstract

fetched live from OpenAlex

This dissertation thesis deals with the antimicrobial susceptibility testing of newly prepared compounds based on quaternary ammonium salts (KAS) and their reference standards commonly used in practice. The new compounds were prepared in cooperation with the Department of Toxicology and Military Pharmacy of the Faculty of Military Health Sciences of the University of Defence and the Biomedical Research Centre at the University Hospital Hradec Králové as a part of joint projects. The antimicrobial activity was established on gram-positive (G+) and gram-negative (G-) bacteria from type culture collections and clinical isolates, in planktonic and biofilm form. At first, the basic antimicrobial activity evaluation was performed by using the microdilution broth method. Additionally, the modified methodology was used to explore the influence of culture broth and initial bacterial density on evaluating the antimicrobial activity. Secondly, by using the quantitative suspension test, that better simulates normal practice conditions, has been successfully implemented at the department for the detailed antimicrobial activity evaluation. Thirdly, the biofilm model based on the Calgary Biofilm Device was successfully introduced and optimized for antibiofilm activity testing. Detailed antibiofilm activity was...

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.001

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 head0.005
GPT teacher head0.224
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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