Impacts of Specific Cryoprotectants on Sperm Freezing and Relationships Between Cryodamage and Oxidation Stress Parameters in Awassi Ram Sperm.
Bibliographic record
Abstract
BACKGROUND: The role of oxidative stress during cryoprotectant treatment has received little attention. OBJECTİVE: To assess the effects of different cryoprotectants and discover relationships between cryodamage and oxidative stress parameters on Awassi ram sperm. MATERIALS AND METHODS: The sperm samples diluted with Salamon's tris-citrate (TRIS) containing 20% centrifuged egg yolk and 0.5, 1.0 or 1.5 M Glycerol (Gly), methanol (M), 2-methoxyethanol (2-ME), dimethylacetamide (DMA) and 1.2 propanediol (PR). After 2 h of equilibration at +4 ºC, the sperm samples were frozen in liquid nitrogen vapour and stored. RESULTS: The best post-thaw motility (43.3%, 41.7%) of sperm was achieved when protected with 0.5 and 1.0 M glycerol. Arylesterase and ceruloplasmin parameters were significantly different after equilibration, whereas sulfhydryl groups were significantly different after freezing in their respective groups (P < 0.05). CONCLUSION: The increased use of glycerol caused greater loss of motility. The role of oxidative stress in freezing was also found to be limited.
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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) | 0.000 | 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".