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Record W2771663654 · doi:10.21065/19257430.5.1

EFFECT OF ACIDIC AND ALKALINE MEDIUM ON FEXOFENADINE BRANDS USING UV SPECTROPHOTOMETER

2015· article· en· W2771663654 on OpenAlexvenueno aff

Bibliographic record

VenueCanadian Journal of Applied Sciences · 2015
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
Fundersnot available
KeywordsFexofenadineAbsorbanceChemistryTerfenadineChromatographyPharmacologyMedicine

Abstract

fetched live from OpenAlex

Fexofenadine is widely used drug for allergic conditions especially Rhiniti and is a selective histamine H1 receptor antagonist. In our recent research we study the effect of acidic and alkaline medium on four different brands of Fexofenadine, for this the solutions of different brands of Fexofenadine were subjected to neutral,alkaline and acidic medium. When Fexofenadine brands subjected to 0.1 N HCl and 0.1N NaOH for 30 minutes, Fexofenadine brands showed variable availability results. Xanidine and Telefast donot show any change in absorbance in acidic medium but shows a decrease in absorbance in alkaline medium. While Allerga shows a decrease in absorbance in both acidic and alkaline medium. Fexet also shows a decrease in absorbance in acidic medium but shows a increase in absorbance in alkaline medium.

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 score0.054
Threshold uncertainty score0.228

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 head0.030
GPT teacher head0.279
Teacher spread0.249 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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