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Record W2621040003 · doi:10.23919/eucap.2017.7928729

A wireless power transfer route to magnetically mediated hyperthermia

2017· article· en· W2621040003 on OpenAlexaff
Hans-Dieter Lang, Gengyu Xu, Costas D. Sarris

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWireless power transferHyperthermiaMaximum power transfer theoremHeat transferMaterials scienceEddy currentWirelessPower (physics)Hyperthermia therapyComputer scienceElectronic engineeringElectrical engineeringMechanicsEngineeringPhysicsTelecommunicationsThermodynamics

Abstract

fetched live from OpenAlex

Hyperthermia therapy is a promising method of cancer treatment, where cancer cells are killed via moderate heat exposure. Magnetically mediated hyperthermia (MMH) is based on the heating of particles or implants, by an externally applied alternating magnetic field. Some MMH systems use induced eddy currents as heat sources. Their operation is very similar to that of wireless power transfer (WPT) systems. Hence, optimization techniques aimed at maximizing the power transfer efficiency of WPT systems can be adapted to optimize heating efficiency in MMH. This paper provides the theoretical framework of this new route to designing MMH systems and analytical results for their optimal heating efficiency. Full-wave electromagnetic simulations further demonstrate the viability of the proposed MMH approach.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.690
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.206
Teacher spread0.198 · 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.

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
Published2017
Admission routes1
Has abstractyes

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