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Record W3014296381 · doi:10.31590/ejosat.672653

Pamuklu Kumaşın Bazı Fiziksel ve Kimyasal Özellikleri Üzerine Enzimatik Muamelenin Etkisinin Araştırılması

2020· article· tr· W3014296381 on OpenAlexaff
Şeyda Eyüpoğlu, Nigar Merdan

Bibliographic record

VenueEuropean Journal of Science and Technology · 2020
Typearticle
Languagetr
FieldEngineering
TopicDyeing and Modifying Textile Fibers
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsPhysicsMathematics

Abstract

fetched live from OpenAlex

Tekstil endüstrisinde, pamuklu kumaşların yüzeyindeki havları uzaklaştırmak için alazlama (yakma) işlemi yapılmaktadır. Son yıllarda pamuklu kumaşlara alazlama yerine enzimatik hav giderme işlemi uygulanmaktadır. Bu nedenle bu çalışmada enzimatik işlem uygulanmış pamuklu kumaşların özellikleri incelenmiştir. Enzimatik işlem numunelere boyamadan önce, boyama esnasında ve boyama işleminden sonra uygulanmıştır. Selülaz enzimi uygulanmış numunelere, enzimatik işlemden sonra klasik ve ultrasonik enerji yöntemi ile yıkamalar yapılmıştır. Ardından çalışmada kullanılan kumaşların beyazlık dereceleri, renk ölçümleri, yıkama, sürtünme, ter ve ışık haslığı ve boncuklanma özellikleri incelenmiştir. Sonuçlara göre, enzimatik işlem uygulanması ile birlikte numunelerin özelliklerinde iyileşmeler görülmüştür. Yıkamalarda ultrasonik enerjinin kullanımı ile enerji tasarrufu sağlanmıştır.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0230.006

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 head0.019
GPT teacher head0.216
Teacher spread0.197 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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