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Record W4396915844 · doi:10.22533/at.ed.5952413052

INTEGRATING E-LEARNING IN METAVERSE FOR SUSTAINABLE DEVELOPMENT OF HIGHER EDUCATION AND TRAINING

2024· book-chapter· en· W4396915844 on OpenAlexaff
Nguyen Duc Son

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldComputer Science
TopicEngineering Education and Technology
Canadian institutionsUniversity of Ontario Institute of Technology
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsTraining (meteorology)MetaverseSustainable developmentComputer sciencePsychologyMathematics educationGeographyHuman–computer interactionPolitical scienceVirtual reality

Abstract

fetched live from OpenAlex

Throughout the years, mining activity has had great importance for economic progress, despite its repercussions of generating significant amounts of waste, impacting sustainability and environmental conservation.The present study aimed to investigate the feasibility of using slate waste in ceramic processing, specifically through slip-casting techniques.By conducting detailed experimental procedures and characterization tests, the study seeks to provide insights into the suitability of slate waste as a substitute for conventional raw materials.Additionally, the study aimed to evaluate the technical properties and performance of ceramic pieces produced using slate waste, thereby addressing concerns about the quality and applicability of such materials in practical applications.Slate rejects collected from quarries were characterized and ceramic pieces were produced by slip casting.The cast green and sintered samples were characterized by density, pore size distribution by mercury porosity, surface area evaluation, X-ray diffraction techniques, and scanning electron microscopy.The X-ray results, when confronted with thermal analyses, have shown major structural transitions at approximately 550ºC and 850ºC.The studies of porosity and density of pieces, before and after heat treatment, provided a better understanding of the slate sintering Engineering in perspective: Science, technology and innovation Chapter 1 2 process.The results indicate that the density decreases after heat treatment and the pieces show a volume reduction due to slate reactions.Compacts formed by slip-casting different suspensions showed an average pore size of approximately 0.72 mm, suggesting that the structural changes that occurred in the slate greatly influenced the porosities and densities of the resulting materials.The results allow us to infer that slate powder from rejects has a great potential for being recovered, recycled, and applied in ceramic processing, producing various ceramic products.These products encompass a wide range of applications, including but not limited to sanitary ware, decorative pieces, and architectural elements.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0090.009
Open science0.0020.010
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0370.015

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 head0.259
Teacher spread0.241 · 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 designTheoretical or conceptual
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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Citations0
Published2024
Admission routes1
Has abstractyes

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