A study of response of adsorbed layers of hydroxypropyl cellulose to variations in ambient humidity
Bibliographic record
Abstract
Cellulose derivatives are versatile polymers with broad industrial applicability. Their performance is critically dependent on their interaction with water. In this work we seek an in-depth understanding of how variations in humidity affect surface properties of Hydroxypropyl Cellulose (HPC). Using the Surface Force Balance technique and Atomic Force Microscopy we studied the properties of adsorbed HPC layers as a function of ambient humidity. We found that HPC layers shrink following adsorption of moisture. Based on our observations; the hysteresis noted in the HPC layers compression-decompression cycles and the recovery of the layer's properties upon drying, we propose a two-step mechanism of water sorption by fibers of HPC. In step one, adsorption of moisture is dominated by capillary condensation in the voids and capillaries of the fiber-like HPC layer. In step two, water penetrates inside the fibers and forms a surface gel, whereas the inner cores of the fibers retain their rigidity.
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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 | 0.000 |
| 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 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".