Comparison of Wet Strength Performance of Different Kinds of Wet Strength Agents on Kenaf Mulch
Bibliographic record
Abstract
Land coverage with plastic film has brought great economic benefits to agriculture. But it also has caused serious soil pollution. The use of biodegradable mulch film made of cellulous fibers is an important way to resolve this problem. Mulch is used in the open air of such weather as windy, rainy, fine and cloudy.So higher dry and wet strength is required. In this paper, performance of sheet with adding polyamide polyamine epichlorohydrin(PAE)、 melamine formaldehyde (MF) and chitosan in kenaf pulp were studied, which given degree 53° SR, Carboxyl methyl cellulose(CMC) amount 0.1% ,soluable polyethylene (PVA) amount 1% . Breaking length, wet dry strength ratio, tear index and burst index of kenaf mulch were measured and optimum wet strength agent in varied properties was selected. The aim is to make mulch have properties of heat preservation, humidity preservation, growth prompting, biodegradation and maximum wet strength and improve impact resistance of mulch to rainwater so as to assure growth of plant and replace plastic film.
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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) | 0.002 | 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 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".