Effect of Lignin Removal on Moisture Absorption of Wood
Why this work is in the frame
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Bibliographic record
Abstract
Abstract In the study, we carried out heartwood and sapwood of fast-growing Chinese fir as research objects, the lignin was removed by sodium chlorite method, then the changes of wood chemical composition were detected by Raman spectra, the moisture absorption changes of wood were studied by saturated salt solution method, and the H-H model fitting data was used to analyze the effect of lignin removal. It aims to provide reference for the research and development of new wood modification technologies or wood-based products [4]. The results showed that there was no significant difference between sapwood and heartwood when the relative humidity was lower than 30%. With the increase of relative humidity in the environment, the water absorption capacity of sapwood cells was higher than that of heartwood. The water absorption capacity of heartwood and heartwood after delignification was significantly stronger than that of control wood, especially when the relative humidity was 95%, the equilibrium water content reached about 60%.
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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) | 0.000 | 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