Elucidation of membrane stabilizing Potentials of Methanolic Extract of Vigna unguiculata (cowpea) Linn (seed)
Bibliographic record
Abstract
Different concentration of methanolic extracts of seeds of Vigna unguiculata (cowpea) Linn collected from the local area of Noakhali, Bangladesh were studied for membrane Stabilizing Assay. V.unguiculata Linn seeds were initially collected, processed and extracted with methanol. Then, five different concentration (1mg/ml, 3mg/ml, 5mg/ml, 7mg/ml, 9mg/ml) of methanolic extract of Cowpea (V.unguiculata) were subjected for determination of membrane stabilizing activity. In the assay for membrane stabilizing activity, five different concentration of crude methanol extract capable to inhibit hemolysis of erythrocyte membrane dose dependently in hypotonic solution and heat- induced conditions, which indicates the anti-inflammatory property of the samples. Where, Acetyl salicylic acid was used as standard drug. From the above discussion it is clear that Vigna unguiculata Linn seeds methanolic extract showed significant anti-inflammatory potentials. So, it will be very much possible source for isolating lead compound for curing inflammatory disorder.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".