Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Silk sericin, a protein obtained from cocoons, is a highly hydrophilic macromolecular material with many hydroxyl, carboxyl and amino acid groups. Sericin has been used for cosmetics, medical, polymer materials and other applications due to its antioxidative, antibacterial, UV resistant and moisture-absorbing and -desorbing properties. On the other hand, polyvinyl alcohol (PVA) has been used as a membrane material because of its good film forming properties. In this study, sericin was blended with PVA to form membranes that are permselective to gases. Due to their hydrophilic properties a novel water-swollen sericin / PVA membrane was investigated for the gas permeation of carbon dioxide and nitrogen. \n \nSilk sericin with molecular weights 26 - 170 kDa was obtained from cocoons by extraction with water. At 95 the yield of sericin was found to be 22.8% after 9 hrs of extraction. The sericin / PVA membranes were prepared by blending sericin and PVA followed by crosslinking with glutaradehyde. After drying, the membranes were heat treated at 120 for 1 hr. The membranes containing 0 to 30.3% sericin showed that the permeability was 2.7-4.0 Barrer for O2, 1.3-2.3 Barrer for N2 and 66.5- 28.8 Barrer for CO2, corresponding to a separation factor in the range of 48.3 to 60 for CO2/N2 and 1.4 to 2.2 for O2/N2. The membranes showed a favourable selectivity for CO2/N2 separation, which is relevant to CO2 capture from flue gas for green house gas emission control. \n \nIn addition, the effects of water in the membrane on the membrane properties were evaluated. It was shown that the swelling of the membranes with water tended to improve the permeability and selectivity of the membranes due to the increased free volume available for gas transport in the membrane. The water vapor sorption and desorption were also studied, and the diffusion coefficient was determined. It was found that the membrane permeability depended on the water sorption uptake in water-swollen membranes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it