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Record W1964539200 · doi:10.1080/15440478.2012.763218

A Review of Ring Staple Yarn Spinning Method Development and Its Trend Prediction

2013· review· en· W1964539200 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Natural Fibers · 2013
Typereview
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsnot available
FundersMount Allison University
KeywordsSpinningYarnMaterials scienceRing (chemistry)Composite materialChemistry

Abstract

fetched live from OpenAlex

In this article, ring staple single yarn spinning method development has been reviewed after an introductory background about ring spinning principle and ring staple yarn defect problems. The review concludes that previous novel ring staple spinning methods have been developed mainly on a basis of staple spinning strand control enhancements by means of separating single strands into two or several subones, concentrating triangular ring spinning strand, rewrapping protruding fiber ends, and improving online twisting density distribution. Reputed novel ring spinning technologies are included in this review such as siro-spinning, solo-spinning, compact spinning, air-jet spinning, air-suction spinning, and Nu-torque yarn spinning. The inadequacy of some reviewed novel spinning methods is considered as a motility of ring spinning method further development. It is predicted that ring staple spinning can be further developed via increasing spinning efficiency and improving online spinning strand properties.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.919
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.091
GPT teacher head0.392
Teacher spread0.301 · 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