MétaCan
Menu
Back to cohort
Record W2358468497

Numerical Simulation of Temperature Distribution in Skin Tissue Generated by Different Shape Continuum Laser

2014· article· en· W2358468497 on OpenAlexaff
Shan Nin

Bibliographic record

VenueJiguang zazhi · 2014
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsLaserThermal conductionMaterials scienceGaussPlane (geometry)ThermalOpticsHeat transferPhysicsMechanicsGeometryMathematicsThermodynamicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

The rule of heat transfer that is irradiated by plane peak continuum laser and gauss continuum laser are analyzed based on thermal conduction equations of biological tissue. The three layer skin tissue model that is more closely to cell size is built. The transient temperature distribution in skin tissue generated by two different shape lasers is numerical simulated using finite element method. The temperature field of skin tissue in the circumstances different action time and exterior distance and depth is studied respectively. The results show that the highest temperature in the skin tissue generated by plane peak continuum laser is less than gauss continuum laser's on the same conditions. The reason is which energy of plane peak continuum laser is decentralizing and energy of plane peak continuum laser is centralizing. The area and penetrating depth of temperature rise generated by gauss continuum laser is bigger. The cooling time of achieving elementary temperature is longer corresponding when the laser is removed.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.225
Teacher spread0.220 · 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 designSimulation or modeling
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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJiguang zazhiSame topicLaser Material Processing TechniquesFrench-language works237,207