Development of Cotton, Hemp and Silk Blended Curtains for Designer Home Interiors
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
Background and Objective: Curtains are now used for more than just providing seclusion and blocking light.Nowadays, people use curtains in their residences or places of business to express their personal style or to give the space a little extra flair.More people than ever are interested in interior design and many like employing contemporary colours and ideas to decorate their homes or other unique spaces.Materials and Methods: In this research, cotton-silk blend and hemp-silk blend yarns were used to develop curtain fabric with a blend ratio of (60:40).These six curtain fabrics were made on a rapier jacquard loom with a twill structure.Physical tests have been done in this research work according to the ISO/AATCC standard, like colour fastness to perspiration, colour fastness to dry cleaning, colour fastness to rubbing, light fastness and a tensile strength test.Results: Color fastness when rubbed under both dry and wet conditions differs only slightly between all samples of cotton and silk blend and all hemp and silk blends in this research work.Color fastness to dry cleaning is found to be of good scale grade in all samples of cotton-silk blend textiles when compared to all samples hemp-silk blend fabrics.Overall, color fastness other related tested performance shows slight variation for cotton-silk and hemp-silk blend curtain dyes fabrics.Conclusion: Hemp-silk and cotton-silk blend curtain textiles offer great performance and colour appearance overall.So that curtain fabric can be used more effectively in the field of house interior design.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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