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Record W4290776426 · doi:10.55900/qswbxduz

Performance of an Ultrasound and Infrared Assisted Conductive Hydro-Dryer as a High Quality and Energy Efficient Drying Method: A Mini-review

2022· article· en· W4290776426 on OpenAlexaff
Michael Ngadi

Bibliographic record

VenueProceedings of the 22nd International Drying Symposium on Drying Technology - IDS '22 · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Drying and Modeling
Canadian institutionsMcGill University
Fundersnot available
KeywordsElectrical conductorQuality (philosophy)Materials scienceInfraredProcess engineeringEnergy (signal processing)Composite materialEngineeringOpticsMathematicsPhysics

Abstract

fetched live from OpenAlex

To overcome some of the limitations of conductive hydro-drying method, the new patented combined ultrasound and infrared assisted conductive hydro drying (UIACHD) was designed and fabricated. Three case studies were conducted on the new dryer to evaluate its functionality. Apple and okra slices and potato puree were dried using this dryer. The physicochemical quality of the dried apple and okra slices including color and vitamin C content was compared with fresh and freeze-dried products. The effects of drying methods on resistant and digestible starch content of cooked potatoes were also investigated. These studies showed the potential of UIACHD in drying heat sensitive food materials as a high quality and energy-efficient drying method.

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 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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.022
GPT teacher head0.276
Teacher spread0.254 · 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 teacher head, 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the 22nd International Drying Symposium on Drying Technology - IDS '22Same topicFood Drying and ModelingFrench-language works237,207