Effect of Grape Seed Extract in Minimizing the Harmful Effects of Monosodium Glutamate on the Chicken Embryonic Retina to Show Scientific Miracles In the Holy Quran
Bibliographic record
Abstract
In 1969, a Canadian laboratory announced that its studies on synthetic alkaline (cyclamate) proved to be a carcinogen despite its use for more than twenty years in the beverage industry. There are many additives that have raised the controversy about the large extent of safety to consumers and the most famous controversy and consumption is the article of monosodium glutamate (MSG) which touched research on the negative impact on samples of research experiments. This research aims to study the effect (MSG) on the formation of retina in chicken embryos and the potential improvement effects of GSE grape seed extracts during incubation as part of the solutions provided in the event of the long term use of MSG and its accumulation in the body Human. The experimental groups were divided into 4 groups based on the injection period and the injected substances. The first control group(Injected with saline), the second group, treated with MSG, the 3rd group were treated with Monosoudim glutamate and grape seed extract at days 0,1 of incubation, whereas the 4thgroup,was treated with MSG and then the GSE (M – G) were given at3,4 days post MSG . The effect of the experimental materials on the development of the retina at the age of 14 was investigated in the current work. The results showed that the treatment of embryos with MSG dose (0.1 ml) caused many of the abnormalities at the level of tissue formation of the retina, and after the treatment of the fetus with GSE was noted to reduce the damage to the tissue of the retina. The results showed that the treatment of embryos with MSG dose (0.1 ml) caused many of the abnormalities at the level of tissue form of the retina, and after the treatment of the fetus with GSE was noted to reduce the damage to the tissue of the retina.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".