Nonisothermal DSC Study of Epoxy Resins Cured with Hydrolyzed Specified Risk Material
Bibliographic record
Abstract
The effects of salt, molecular weight and viscosity, and mass ratio on the apparent activation energy of the cross-linking reaction of epoxy resins and protein hydrolysate were studied by nonisothermal differential scanning calorimetry. The Kissinger equation, the model-free isoconversional method, and the autocatalytic model were used to analyze the kinetic data. The presence of salts contributed to an increase in the apparent activation energy. The curing of epoxy resins with lower molecular weight protein hydrolysates was found to have lower activation energy and order of reaction. An increase in the concentration of curing groups resulted in a small increase in the order of reaction. The activation energy of curing bisphenol A diglycidyl ether (DGEBA), with viscosity 500–700 cP, was found to be significantly higher than the curing activation energy of polypropylene glycol diglycidyl ether (PPGDE), which has a viscosity of 50 cP.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".