Study on Endogenesis Inhibitory Substances in Seed of Astragalus membranaceus
Bibliographic record
Abstract
Objective: To investigate the activity and the location of the endogenesis inhibitory substances in seed of Astragalus membranaceus. Method: For obtaining extracts of different solvent,concentrations and extracting times,extraction method was adopted in different tissues of Astragalus membranaceus seeds.Biological activities were determined by wheat and Brassica sp seed. Result: The extract dramatically inhibited the germination and the growth of wheat and Brassica sp seed and the inhibitory activity was positively related to the concentration of the extracts. When the concentration reached 0. 20 g / m L,wheat and Brassica sp seed did not germinate. Distinct difference in inhibitory activity in extracts of different solvent from Astragalus membranaceus seeds were found,of which the water-soluble extracts' inhibitory activity was more significant than alcohol-soluble extracts. With the increased extracting times,the inhibitory activity showed a trend of weakening. The seed coat and kernel both had inhibitory substances,and the latter was stronger than the former. Conclusion: Highly active inhibitory substances were found in the seed of Astragalus membranaceus,and most of them were water-soluble ingredients. The active inhibitory substances in seed kernel was higher than seed coat in Astragalus membranaceus seeds.
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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 | 0.001 | 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".