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Record W2577237317 · doi:10.18535/jmscr/v5i1.54

Detection of Various Beta Lactamases in Pseudomonas Aeruginosa from Various Clinical Samples and Their Co-Existance

2017· article· en· W2577237317 on OpenAlexaff
Gagan Priya Pandey

Bibliographic record

VenueJournal of Medical Science And clinical Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsCanadian Society of Microbiologists
Fundersnot available
KeywordsMedicinePseudomonas aeruginosaMicrobiologyBETA (programming language)PseudomonasBacteriaBiologyGenetics

Abstract

fetched live from OpenAlex

In the present study, it's to be detect various type of beta lactamase which affect the growth of Pseudomonas aeruginosa. Pseudomonas aeruginosa is leading nosocomial infection agent. Treatment is more complicated because of high degree of resistance against beta lactamases enzymes. Samples i.e., urine, body fluids, pus, sputum, ear swabs, etc. were collected and Nutrient Agar, Blood Agar and MacConkey agar, oxidase test and their biochmecial reactions used for colony growth and identification. Among various samples, urine, sputum, pus and ET secreation has been detected from ESBL, AmpC and MBL producer Pseudomonas aeruginosa. Maximum ESBL production for 41-50 aged group patients and for AmpC and MBL, the aged group are <10 and 50-60 years respectively. Out of all the positive samples, only one sample i.e., AmpC-MBL, has been isolated for co-existance. It's useful for the treatment against Pseudomonas aeruginosal infection for the physician and restrict the growth of such common and deadly infection.

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)0.022
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.142
GPT teacher head0.487
Teacher spread0.345 · 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.

Study designObservational
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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