Influence of Clothing Materials on Protective Performance in Tennis
Bibliographic record
Abstract
The main objective of this study is to analyze influence of clothing materials on protective performance in tennis sportswear. Firstly, the paper presented a human protection model on tennis, and deduced two evaluation parameters to describe protection performance. Secondly, the experimental objects wore different gears made by different fabrics for tennis serve and the experiment data was collected to analyze the gears’ protection performance. Thickness, elasticity, fabric composite methods and wrapping types were set as independent variables of the gears. The ANOVA shows that these factors are of great significance to change the evaluation parameters of the upper limbs joints. Thickness of fabrics is more significant (P<0.01) on evaluation parameters than that of elasticity, especially for elbow (P<0.01), while elastic of fabric only affects peak momentum of elbow and wrist, but not obvious. The wrapping ways of pads are important factors to peak momentum changes. This research shows clothing material is an important element to design protective tennis gears.
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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 | 0.003 | 0.001 |
| 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) | 0.000 | 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".