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Record W3021516957 · doi:10.18280/ijdne.150203

Wood-Based Epoxy Resin's Synthesis Using Decayed Woody Material from Mushroom Cultivation

2020· article· en· W3021516957 on OpenAlexvenueno aff
Sayuri Kawamura, Qingyue Wang

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2020
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceMinistry of Education, Culture, Sports, Science and Technology
KeywordsMushroomEpoxyPulp and paper industryWoody plantMaterials scienceComposite materialBotanyEngineeringBiology

Abstract

fetched live from OpenAlex

The aim of this study is to investigate the epoxy resin prepared from liquefied decayed woody materials after mushroom cultivation, in order to widen the applicable range of liquefaction technology.Liquefaction technology is valid replacement of fossil fuel and serving the Sustainable Development Goals.Decayed materials have less usage due to the damage to its original form and the deterioration of its strength.However, decay refers to decomposition of woody composition of cellulose, hemicellulose and lignin, which are easy to be liquefied.Decayed wood woody material was first liquefied by reaction with polyethylene glycol and glycerin.Then epoxy function groups were introduced to the liquefied wood by the glycidyl etherification.The synthesized epoxy resins from decayed woody sample have the similar chemical and technological properties with these from control woody samples.This reality indicates that decayed woody materials have potentially to be used for a wide range of applications including binding and contribute to construct sustainable development society.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.012
GPT teacher head0.228
Teacher spread0.215 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Design & Nature and EcodynamicsSame topicLignin and Wood ChemistryFrench-language works237,207