Analysis of Nutritional Components of Horse Radish Tree Flowers (Moringa oleifera) Wildly Grown in Sindh Province
Bibliographic record
Abstract
The present research study was aimed at determining the proximate and mineral composition of horse radish tree flowers by utilizing standard methodologies. The mean moisture content in fresh, thermally dehydrated, curry, shade dried and boiled fresh /processed samples of horse radish tree flowers was 80.98, 5.40, 68.07, 5.84 and 86.26%, respectively. The vegetable had the highest pH, carbohydrates, total solids, nitrogen free extracts and calorific values in thermally dried samples and crude fiber, ash and protein values were higher in shade dried samples. Whereas, fat and total fatty acids were found higher in curry samples. There was a significant presence of dietary essential micro-nutrients. It was therefore revealed that horse radish tree flowers(Moringa oleifera) when consumed in curry form could also be a good source of nutrients. The inclusion of horse radish tree flowers into the diet could potentially address some of the challenges, such as health benefits, food security and increase life expectancy in Sindh, Pakistan.
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) | 0.000 | 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 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".