Quantification of the Bioactivity of Ethanolic Extract From Phoenix dactylifera
Why this work is in the frame
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Bibliographic record
Abstract
Aim: This study aims to quantitatively assess the anti-inflammatory and antioxidant activities of the ethanolic extract of Phoenix dactylifera seeds. Materials and methods: Around 30 seeds of Phoenix dactylifera were collected, crushed, and powdered; 10 gm of powder was added to 100 ml of ethanolic extract and boiled for further analysis. Egg albumin denaturation assay and hydroxyl radical scavenging assay were done to evaluate the anti-inflammatory and antioxidant activity, respectively. An independent t-test was used to compare the anti-inflammatory and antioxidant potential of the ethanolic extract of Phoenix dactylifera using SPSS Statistics version 22.0 (IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0; Armonk, NY: IBM Corp.), and values less than 0.05 are considered statistically significant. Results: The seeds of Phoenix dactylifera have potent anti-inflammatory and antioxidant properties. Both anti-inflammatory and antioxidant properties improved with higher concentrations and were comparable to the control substances diclofenac sodium, vitamin E, and ascorbic acid, respectively. The most significant anti-inflammatory and antioxidant effect was observed at a dosage of 50 μL, with a p-value of 0.001. Conclusion: To conclude, we found that the ethanolic extract of Phoenix dactylifera has anti-inflammatory and antioxidant activity, which can further be used for the improvement of pharmaceuticals.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it