A CRITICAL REVIEW ON PHARMACOLOGICAL AND MECHANICAL PROPERTIES OF DAIDZEIN
Bibliographic record
Abstract
Medicinal plants have proved to be of great importance since long back as they are traditionally used to make plant-derived medicines that are a good alternative to synthetic chemicals. Daidzein is one such chemical compound that belongs to the group of isoflavones and is obtained from leguminous plants, especially soy plants. Daidzein is structurally similar to human hormone estrogen due to which is also called a phytoestrogen. Daidzein is an isoflavone compound that is mostly found in glycosylated form in plants while in humans it is found in free form in the bloodstream. It is clinically used in treatment of variety of cancers. It has become quite successful in treating ovarian cancer, breast cancer, and thyroid cancer. Daidzein also possess some exquisite properties such as anti-inflammatory properties, anti-oxidant properties, and neuroprotective properties. In this paper mechanical properties of daidzein are also discussed in which daidzein has been proved as an excellent wood adhesive agent for industrial purpose. Also, daidzein is used as flame retardant and is doing good in dietary supplementations. Daidzein can be important for further pharmaceutical and industrial applications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".