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Record W1994630989 · doi:10.1134/s1063771009040204

Experimental temperature measurements by echo-contrast agents

2009· article· en· W1994630989 on OpenAlexaff
V. D. Svet, N. N. Galybin, E.A. Bakulin

Bibliographic record

VenueAcoustical Physics · 2009
Typearticle
Languageen
FieldEngineering
TopicPhotoacoustic and Ultrasonic Imaging
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsEcho (communications protocol)Atmospheric temperature rangeUltrasoundContrast (vision)Materials scienceFrequency shiftRange (aeronautics)Spectral lineMaximaTemperature measurementAcousticsRealization (probability)Nuclear magnetic resonancePhysicsComputational physicsOpticsComputer scienceMathematicsStatisticsThermodynamics

Abstract

fetched live from OpenAlex

The article considers results of experimental studies of the spectra of ultrasound echo-signals scattered by echo-contrast agents (ECA) at changing temperature. Two types of ECA have been used: Levovist being the suspension of free air bubbles and Definity whose gas bubbles are in an albumin shell. As the temperature increases the maxima of the frequency spectra of backscattering signals shift to low frequencies and the value of this shift serves to determine the true temperature. Experimental data on Levovist are well accorded with the calculations for the temperature range from 34 to 44°C and the frequency shifts were about 17 kHz/°C in the range of frequencies of 3.5—5 MHz. The Definity measured frequency shift versus temperature was 5 kHz/°C. The measured values of frequency shifts serve to the realization of the accuracy of temperature measurements of (0.1–0.2)°C. The obtained results prove the prospectiveness of special temperature ECA in the shells for the temperature mapping of internal organs by means of standard platforms of ultrasound diagnostics.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.238
Teacher spread0.224 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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