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Record W2388684305

Numerical simulation of Two-dimension transient temperature distribution in biological tissue generated by high power Laser

2013· article· en· W2388684305 on OpenAlex
Shan Nin

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

VenueJiguang zazhi · 2013
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsLaserBiological tissueMaterials scienceThermal conductionIrradiationOpticsRADIUSTransient (computer programming)Pulse (music)Heat transferMechanicsPhysicsComposite material
DOInot available

Abstract

fetched live from OpenAlex

The rule of heat transfer that is irradiated by high power laser is discussed based on thermal conduction equations of biological tissue. The model of three layer skin tissue is built.The transient temperature distribution generated by pulse laser irradiation in biological tissue is numerical simulated using finite element method. Two-dimension transient temperature rise nephogram is come out.The temperature infection trend of radial and axis in biological tissue is studied because of changing pulse width andwaist radiusof laser.The results showthat radial temperature rise area and axis temperature rise depth in biological tissue increase with increasing waist radius.And the highest temperature of center in biological tissue decrease.The highest temperature of center in biological tissue increased with decreasing pulse width of laser.When skin tissue canceled out laser irradiation, the temperature rise in biological tissue should be able to last a long time. And the temperature will descend under reaching the peak.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.457

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 head0.007
GPT teacher head0.232
Teacher spread0.225 · 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