Physicomechanical and Thermal Properties of Jute-Nanofiber-Reinforced Biocopolyester Composites
Bibliographic record
Abstract
Jute nanofibers (JNFs) were prepared by treating jute fibers with alkali and dimethyl sulfoxide (DMSO) and then applying acid hydrolysis and were characterized by transmission electron microscopy, scanning electron microscopy, atomic force microscopy, and X-ray diffraction. The JNFs exhibited both spherical an elliptical shapes, with diameter in the range of 50−120 nm. Biocopolyester matrix was reinforced with JNFs at three different loadings (5, 10, and 15 wt %), and the JNF-loaded biocomposites were characterized by X-ray diffraction, tensile testing, differential scanning calorimetry, and moisture uptake. The enhancement in properties was highest for 10 wt % JNF-loaded composites, indicating the most uniform dispersion in this material.
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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 | 0.001 | 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 | 0.001 |
| 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 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".