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Record W2122722823 · doi:10.1002/cjce.21904

Improving air permeability of paper with acrylic and melamine resins

2013· article· en· W2122722823 on OpenAlexafffundvenue
Jinxia Ma, Xiaofan Zhou, Dan Zhang, Huining Xiao

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2013
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaJiangsu University
KeywordsAir permeability specific surfacePulp (tooth)Materials scienceCelluloseComposite materialAcrylic resinCellulose fiberMelamine resinPermeability (electromagnetism)Cellulosic ethanolChemistryOrganic chemistryMembraneFiberDentistry

Abstract

fetched live from OpenAlex

Abstract A novel approach was developed to fabricate structures with high bulk from curled cellulosic material and to eliminate the pulp loss occurring in conventional mercerising pulp processes. Cellulose fibres treated with acrylic resin and melamine resin were curled as a result of the cross‐linking and solidification of the resins. The curled fibres brought about incompact structures of cellulose fibres with high air permeability of paper. Various influencing factors were investigated to control the air permeability of the substrates, including pulp consistency, resin amount and solidification temperature. The results showed that when the pulps at 30% consistency were treated with 10% (wt. on dry fibre) resin and solidified at 140°C, the resulting paper had similar or even better air permeability than that made from the mercerised pulps.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations5
Published2013
Admission routes3
Has abstractyes

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