Effect of Exercise and Zoledronic Acid on Lipid Profile and Bone Remodeling in Ovariectomized Rats
Bibliographic record
Abstract
Exercise (EXE) and amino-bisphosphonates (BP) are both considered as useful strategies in the prevention of post-menopausal bone loss. Exercise reduces lipid levels, and BP may induce increase in high-density lipoprotein cholesterol (HDL-C). We hypothesized that combined effects of BP and exercise would produce a better improvement of lipid profile. (Dolléans, 2010) Non pharmacological prevention of osteoporosis fracture by physical activity and particularly regular exercises (EXE) characterized by impact or loading is currently recommended.The effect of regular exercise on the Lipid profile has been developed in a lot of studies It has been recently demonstrated that increasing steps walked may have beneficial effects on serum lipids and thus may decrease the cardio vascular disease risks. Conversely, physical activity, and more specifically mechanical stress, has been shown to induce an osteogenic effect mediated by osteocytes and osteoblasts. (Howe, 2011) Sixty 6-month old Wistar female rats were maintained under the standard environmental conditions of light and temperature, (12 h light: 12 h dark photoperiod, at 24 ±2 oC) with free access to water. They were divided into 3 groups according to methods of induction
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".