Preparation of Nano-ZnO and Its Application to the Textile on Antistatic Finishing
Bibliographic record
Abstract
Nano-ZnO was prepared by direct precipitation method with zinc chloride and sodium carbonate anhydrous as rawmaterials, and its particle size and dispersion were characterized by TEM. The effects of concentration and the ratio ofreactants and reaction temperature on its dispersion in aqueous solution were analyzed and the best reaction conditionswere as follows: reaction temperature 60 centi degree, ultrasonic vibration time 40 min, concentration of the reactant 0.5mol/l andmolar ratio of reactants 1:2 for the preparation. The cotton fabric and the polyester fabric which were both finished bypad-dry-cure process with antistatic finishing agent, which was compounded with nano-ZnO, were tested on theirantistatic property. According to the comparation between the cotton and the polyester treated fabrics on antistaticproperty, the results showed that the charge density of the polyester fabric was reduced to 9.5×10-8 C/m2 from 5.8×10-6C/m2, which was about 10 times as that of the cotton fabric.
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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".