| id |
76d541ca-8138-4fa6-9a93-6e54652061cb |
| user_id |
8684964a-bab1-4235-93a8-5fd5e24a1d0a |
| job_id |
rvntogci-6793 |
| base_model_name |
xevyo |
| base_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| model_name |
On the aspiration |
| model_desc |
On the aspiration to decode the impac |
| model_path |
/home/sid/tuning/finetune/backend/output/rvntogci- /home/sid/tuning/finetune/backend/output/rvntogci-6793/merged_fp16_hf... |
| source_model_name |
xevyo |
| source_model_path |
/home/sid/tuning/finetune/backend/output/xevyo-bas /home/sid/tuning/finetune/backend/output/xevyo-base-v1/merged_fp16_hf... |
| source_job_id |
xevyo-base-v1 |
| dataset_desc |
Decoding the Impact of Genomics on Power and Endur Decoding the Impact of Genomics on Power and Endurance Performance
1. Introduction to Genomics in Sports Performance
Key Points:
Genomics studies how genes influence physical performance.
Athletic performance differs between power and endurance sports.
Genetic research aims to understand these differences.
Easy Explanation:
Genomics helps explain why some athletes are better suited for endurance sports while others excel in power-based activities.
2. Athletic Performance as a Multifactorial Outcome
Key Points:
Performance is influenced by genetics, physiology, and environment.
Single-gene explanations are insufficient.
Multiple systems work together to produce performance.
Easy Explanation:
Athletic success comes from many factors acting together, not from one gene or one trait.
3. Power vs Endurance Sports
Key Points:
Power sports rely on strength and speed.
Endurance sports rely on aerobic capacity and efficiency.
Different biological mechanisms support each type.
Easy Explanation:
Sprinters and weightlifters need explosive power, while runners and cyclists need long-lasting energy.
4. Role of Specific Genes in Performance
Key Points:
ACE and ACTN3 genes are commonly studied.
These genes affect muscle function and cardiovascular response.
Their effects vary across populations.
Easy Explanation:
Certain genes influence how muscles work and how the heart supports exercise.
5. Genotype–Phenotype Interactions
Key Points:
Gene effects depend on physical traits.
Ethnicity and sex influence gene expression.
Ignoring these factors leads to misleading results.
Easy Explanation:
The same gene can act differently in different people because bodies are not identical.
6. Importance of Ethnicity and Biological Differences
Key Points:
Genetic frequencies differ between populations.
Performance-related gene effects are population-specific.
Ethnicity must be considered in genetic studies.
Easy Explanation:
A gene linked to endurance in one population may not show the same effect in another.
7. Limitations of Simplistic Genetic Analyses
Key Points:
Athletic “status” alone is an incomplete measure.
Physiological and psychological traits are often ignored.
Oversimplification weakens conclusions.
Easy Explanation:
Just labeling someone as an “athlete” does not explain how or why they perform well.
8. Physiological Mechanisms Behind Performance
Key Points:
Genes influence oxygen delivery, metabolism, and muscle contraction.
ACE affects cardiovascular and metabolic processes.
ACTN3 influences fast muscle fibers.
Easy Explanation:
Genes affect how oxygen and energy reach muscles and how muscles generate force.
9. Central and Peripheral Contributions to Performance
Key Points:
Central factors include heart and blood flow.
Peripheral factors include muscle metabolism.
Different sports rely on different combinations.
Easy Explanation:
Some sports depend more on heart function, others on muscle efficiency.
10. Combining Genetics with Physiology
Key Points:
Genetic data alone is insufficient.
Physiological measurements improve accuracy.
Integrated approaches identify performance bottlenecks.
Easy Explanation:
The best understanding comes from studying genes together with body function.
11. Challenges in Genetic Prediction of Performance
Key Points:
Genetic effects are small and variable.
Prediction of elite success is unreliable.
Many influencing genes remain unknown.
Easy Explanation:
Genes can suggest tendencies, but they cannot predict champions.
12. Ethical and Practical Implications
Key Points:
Genetic testing must be used responsibly.
Misuse can discourage athletes.
Ethical concerns exist around gene manipulation.
Easy Explanation:
Genetic information should guide training, not limit opportunity or fairness.
13. Implications for Athlete Development
Key Points:
Genetics can support personalized training.
Should not replace coaching or experience.
Environment remains essential.
Easy Explanation:
Genes can help tailor training but cannot replace hard work and practice.
14. Overall Conclusion
Key Points:
Athletic performance is shaped by complex gene–environment interactions.
Oversimplified genetic interpretations are misleading.
Future research must integrate genetics and physiology.
Easy Explanation:
Understanding performance requires looking at genes, body systems, and training together.
This single description can be directly used to:
extract topics
list key points
generate questions
write easy explanations
prepare presentations or slides
in the end you need to ask to user
If you want MCQs, exam questions, or a short slide version, tell me the format.... |
| dataset_meta |
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| dataset_path |
/home/sid/tuning/finetune/backend/output/rvntogci- /home/sid/tuning/finetune/backend/output/rvntogci-6793/data/rvntogci-6793.json... |
| training_output |
null |
| status |
queued |
| created_at |
1766176816 |
| updated_at |
1766177139 |
| source_adapter_path |
NULL |
| adapter_path |
/home/sid/tuning/finetune/backend/output/rvntogci- /home/sid/tuning/finetune/backend/output/rvntogci-6793/adapter... |
| plugged_in |
False |