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Record W2168513971 · doi:10.1109/imtc.2005.1604142

Effects of External Temperature on Therapeutic Heating with Interstitial Instrumentation

2006· article· en· W2168513971 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

Venue2005 IEEE Instrumentationand Measurement Technology Conference Proceedings · 2006
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsMaterials scienceInstrumentation (computer programming)MechanicsNuclear engineeringTransient (computer programming)Temperature measurementThermalImaging phantomVolume (thermodynamics)Heat sinkTemperature controlHead (geology)Nonlinear systemThermodynamicsComputer sciencePhysicsOpticsEngineering

Abstract

fetched live from OpenAlex

Use of interstitial instrumentation for therapeutic heating is often compromised by uncontrollable thermal washout caused by stochastically distributed heat sinks. The heat sinks effects may be mitigated by, among others, control of the external temperature during the heating. For these procedures temporal characterization becomes crucial. We propose transient FEA simulations as a reliable method of modeling the temporal behavior at different external temperatures. Heating curves obtained in measurements of ultrasonic heating in a brain phantom are modeled using the simulations. On achieving good agreement between the simulation and experimental results, we proceeded with the simulation of heating in a complex head model. Heating efficacy is described in terms of extent and volume of thermal dose. The extent and the volume increased by 40 to 100% for the temperatures of 18 to 470C. We found that there is monotonic but nonlinear dependence between the extent and the volume of the thermal dose on external temperature

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 score0.014
Threshold uncertainty score0.758

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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