Avicennia Marina: A Natural Resource for Male Anti-Fertility in Family Planning
Bibliographic record
Abstract
Increasing male involvement in family planning is a strategic priority, with herbal antifertility agents offering a potential solution.Coastal communities have traditionally utilized the bark of Avicennia marina as an anti-fertility agent.This study aims to characterize the bioactive compounds present in A. marina tissues and assess their potential as male anti-fertility agents.This exploration of mangrove anti-fertility agents could address the issue of limited access to contraceptives among low-income individuals residing in coastal regions.A. marina samples were collected from the mangrove forests of Pasir Sakti Village, Lampung Timur Regency.The bioactive content was analyzed using Gas Chromatography (Agilent 6890 series GC -MS) equipped with an HP-5MS method.A total of 49 bioactive compounds were identified in A. marina using the GC-MS method and ethanol solvent for extraction.The highest diversity of bioactive compounds was observed in flowers and fruits, followed by wood, roots, leaves, and bark, containing 21, 14, 13, 13, and 8 compounds, respectively.A. marina demonstrated the potential to produce 36 types of flavonoids, compounds previously established as effective male anti-fertility agents.The majority of flavonoids were found in the root, followed by flowers and fruits, wood, leaves, and bark, with 14, 11, 11, 8, and 8 types, respectively.These findings suggest that A. marina possesses significant potential as a source of male anti-fertility agents, presenting an opportunity to increase men's participation in family planning, especially in low-income coastal communities.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".