EVALUATION OF HYPOLIPIDEMIC EFFECT OF CITRUS LEMON
Bibliographic record
Abstract
ABSTRACT Herbs have been used for several cardio vascular diseases, such as congestive heart failure, hypertension, angina pectoris, atherosclerosis, arrhythmia, cerebral and venous insufficiency. Atherosclerosis is the primary cause of heart disease and stroke. Hence blood lipid levels are probably the major determinant of the development of cardiovascular disease. Citrus fruit and juices have long been considered a valuable part of a healthy and nutritious diet. It is well established that some of the nutrients in citrus promote health and provide protection against chronic disease. The present study has been specifically designed to investigate the hypolipidemic effects of citrus lemon juice in rabbits after high cholesterol diet for four weeks. The citrus lemon juice (1ml/kg/day) revealed a significant reduction in serum cholesterol, triglycerides; low density lipoprotein levels and resulted in an increase in high density lipoprotein. These results suggest that the hypocholesterolemic effects of citrus lemon juice may be due to its antioxidant effect.
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 | 0.000 | 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) | 0.001 | 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".