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Record W2108161147 · doi:10.5539/ijb.v3n2p75

Diuretic Activity of Methanol Extracts of Rubus idaeus L.

2011· article· en· W2108161147 on OpenAlexvenueno aff
Ying Zhang, Zhenya Zhang, Yingnan Yang, Yuepeng Wang, Xiaoyan Zu, Di Guan

Bibliographic record

VenueInternational Journal of Biology · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Quality and Safety Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRubusChemistryDiureticPotassiumEthyl acetateBotanyHorticultureTraditional medicineBiologyBiochemistryMedicinePharmacologyOrganic chemistry

Abstract

fetched live from OpenAlex

The purpose of this article is to evaluate the diuretic potential of Rubus idaeus L. fruits. By measuring the urinevolume of experimental animals, we find that methanol extract of Rubus idaeus L. fruits significantly increasedthe urine volume of experimental animals suggesting its diuretic effect. This is the first formal report on thediuretic activity of Rubus idaeus L. fruits. Moreover, four fractions isolated from the methanol extract werefurther studied and the results showed that ethyl acetate fraction (RIEA) has a direct relationship with thediuretic activity of Rubus idaeus L. fruits. The urinary electrolyte patterns of experimental animals were alsoanalyzed, we find that Rubus idaeus L. fruits have an effect on the conservation of potassium, which is aninteresting property in a phyto-diuretic.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.286

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 head0.088
GPT teacher head0.305
Teacher spread0.217 · 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
Published2011
Admission routes1
Has abstractyes

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