Flash cupping and its effect on soft tissue elasticity
Bibliographic record
Abstract
Cupping therapy is a growing treatment option for myofascial pain, however, the effects of suction on deeper tissues’ elasticity has not been well documented. As such, elasticity was derived using a novel device that employs a flash cupping technique to resect deeper fascia. Fourteen participants were recruited and tested with the device 5 cm subxiphoid on the abdomen and posterior calf muscle. Of results at the abdomen, 88% indicated immediate (within 30 seconds) increase in elasticity. At the calf, 64% of results indicated immediate increase in elasticity. In the short-term (1-3 minutes), stiffening occurred in 64% of results at the abdomen. Given results, it is of interest to consider the long-term effects of dry cupping on soft tissue elasticity to determine potential mechanical benefits of localized suction. The presented evidence of dynamic changes in elasticity may lend insight into the causes and treatment effects of myofascial pain.
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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 | 0.001 |
| 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) | 0.005 | 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".