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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 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.895
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.019
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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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