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Record W619681826

Textiles for sustainable development

2007· book· en· W619681826 on OpenAlexaboutno aff
Rajesh D. Anandjiwala

Bibliographic record

VenueNova Science Publishers eBooks · 2007
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicResearch in Cotton Cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials sciencePolypropyleneComposite materialPolyesterPulp and paper industryEngineering
DOInot available

Abstract

fetched live from OpenAlex

Performance of four European hemp cultivars cultivated under different agronomic conditions in the Eastern Cape Province, South Africa Antibacterial cotton fibre Availability, production, marketing and potential applications of natural fibres of Brazil Newest achievements in curaua processing and applications Fibre quality of hemp grown on the Swedish Island Gotland Important plant parasitic nematodes affecting fibre crops, such as cotton and hemp, in South Africa HEMP SYS: Design, development and up-scaling of a sustainable production system for HEMP textiles: an integrated quality Systems Approach. How to affect hemp fibre quality? A review on the development of rapid analytical techniques for assessing physical properties of modified linen fabric Application of osmotic pressure for evaluation of quality and quantity of fibre in flax and hemp Comparison of cotton yarn strength prediction methods Cotton fibre quality index Biodegradable/compostable composites from lignocellulosic fibres The effect of coarse edge on worsted spinning performance and yarn properties High performance in sewing guaranteeing seam quality through control of sewing dynamics Liquid ammonia treatment of linen and cotton/linen fabrics The designing multifunctional fibrous structures for technical applications Development of hemp fibre reinforced polypropylene composites Compatibility of cotton/nylon and cotton/polyester warp-knit terry towelling with industrial laundering procedures Kinetic Study of Polypropylene Nanocomposite Thermal Degradation Fibrillation of natural fibres increasing the specific surface for high performance composites Comparison of the alkaline hydrolysis and dyeing properties of poly (trimethylene terephthalate) and poly (ethylene terephthalate) fibres Agrobased fibres of Brazil and their composites- An overview Influence of corona treatment on linen fabric dyed with natural dyestuffs Development of a new vat dyeing process for cellulose materials pre-treated with Corona Digital printing on silk fabric Eco friendly natural fibre textiles for sustainable development Trends & developments of the world-wide textile industry Influence of fabric construction, lignin content and other factors on UV blocking Effect of corona treatment on finishing processes of linen fabrics Nano-cellulosic fibres, preparation, properties and directions of application Continuous yarns from electrospun nanofibres -- Recent developments Nanotechnologies for modification and coating of fibres and textiles Electrospinning and stabilisation of Poly (vinyl alcohol) nanofibre webs with antimicrobial activity Cottons Role in Sustainable Textiles Raw materials based on linseed oils for polyurethane synthesis Improved profitability through industrial upgrading of bast fibres in South Africa Flax Canada 2015: Going Beyond the Status Quo Index.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.012

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.

Opus teacher head0.080
GPT teacher head0.305
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations39
Published2007
Admission routes1
Has abstractyes

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