Effects of water salinity, electric stress and temperature on the hydrophobicity of nylon
Bibliographic record
Abstract
The loss of hydrophobicity of nylon caused by water salinity, electric stress and temperature is investigated. The hydrophobicity is determined by measuring the contact angle using a droplet of distilled water at room temperature. To investigate the loss of hydrophobicity, nylon specimens are immersed in saline water solutions. The salinity is varied from 5 to 100,000 /spl mu/S/cm. The aging temperatures are 0, 23.5 (room temperature), 50 and 75/spl deg/C. The time of immersion is up to 336 hours. Electric field is applied in air at room temperature. From this study it is found that the contact angle of water on nylon decreases with increasing salinity of water. The contact angle decreases rapidly with increasing temperature of the saline water. The contact angle decreases with increasing time of subjecting the specimen to a fixed value of high dc electric stress in air at 23.5/spl deg/C.
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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 | 0.000 | 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 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".