Eco-Innovation: Applying the Woven Fabric from Dendrocalamus asper Fibers to Textile Product Design
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objectives of this research were 1) to test the properties of the woven fabric from Dendrocalamus asper (D.asper) fiber blended with recycled polyester(r-PET), and 2) to study the design factors and evaluate the satisfaction with the new textile products.This is a mixed method research study, the results of which indicated that the physical properties of the developed textile fabric were assessed in accordance with textile testing standards, tensile strength, tear strength, fabric density, fabric weight, fabric thickness, abrasion resistance, and pilling resistance.The obtained fabric contained the unique textures of D.asper fiber blended with recycled polyester fibers.The population consisted of 3,012 visitors to Crafts Bangkok 2024 Thailand.The sample consisted of 353 visitors to Crafts Bangkok 2024 Thailand with an interest in textile products, obtained by simple random sampling with a 95% confidence level.Structured questionnaires with good quality (Cronbach's alpha = 0.919) were used as the research instrument.According to the exploratory factor analysis (EFA), there were four factors affecting consumers, i.e., 1) local materials, 2) green products, 3) healthiness, and 4) sustainability.Consumers had high levels of satisfaction with the new textile products (x = 4.235; S.D = 0.472).All four factors significantly affected consumer satisfaction (p < .01)and could predict the dependent variable at 84.7%, with the standardized regression equation: = .196( 1 ) + .394( 2 ) + .244( 3 ) + .307( 4 ).The new textile products can therefore encourage the use of the abundantly available bamboo fibers in communities through sustainable development that helps increase economic value with eco-friendly qualities.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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