MétaCan
Menu
Back to cohort
Record W7024478017

Retrospective assessment of human exposures to low dose ionizing radiation using Electron Paramagnetic Resonance (EPR) dosimetry with tooth enamel

2022· dissertation· en· W7024478017 on OpenAlexaboutno aff

Bibliographic record

Venuee-scholar@UOIT (University of Ontario Institute of Technology) · 2022
Typedissertation
Languageen
FieldComputer Science
TopicHuman Pose and Action Recognition
Canadian institutionsnot available
Fundersnot available
KeywordsIonizing radiationDosimetryTooth enamelRadiationRadiation doseDosimeterDose profileEffective dose (radiation)Absorbed dose
DOInot available

Abstract

fetched live from OpenAlex

This study collected the extracted teeth from people of different ages in the Durham region and analyzed them using the X-band CW EPR spectroscopy. The total dose rate from the natural and anthropogenic sources was 1.9721 mSv/year. The anthropogenic dose rate from the various sources was 0.6341 mSv/year, about 47.39% of the natural background dose (1.338 mSv/year) in Durham Region, Ontario. The combined anthropogenic doses from these sources were lower than the local background dose in Durham Region, Ontario, and lower than the regulatory annual effective dose limit of 1 mSv/year in Canada. These data demonstrated that the background doses to the public are lower than the regulatory limit. There is a minimal risk to the public from the anthropogenic doses in Durham Region populations. The dose contribution of the nuclear generating stations is small in Durham Region, Ontario. So, the excess anthropogenic doses could be from diagnostic radiology, nuclear medicines, radiation therapy, and other industrial uses of radiation or radioactive materials, but further study would be needed for conclusions about this region's situation. At the same time, there are more chances of providing deciduous teeth for the low dose (10 - 100 mGy) reconstruction in the actual radiation accidents or chronic exposures. To this end, this study used the dose spiking technique in alanine, where a low dose down to 20 mGy was measured with reasonable precision and accuracy. The same method was used in deciduous teeth for measuring low doses, which was challenging to measure precisely using the conventional EPR methods. The measurement accuracy and reproducibility in the deciduous teeth enamel were significantly higher in that dose range than the conventional methods. Thus, this method can solve the measurement problems associated with low doses and is helpful for retrospective and accident dosimetry. Finally, this study concluded that the total anthropogenic doses in the teeth of Durham Region residents were lower than the regulatory limits. The dose spiking technique can be used to measure low doses in tooth enamel for retrospective and accident dosimetry.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.247
Teacher spread0.237 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuee-scholar@UOIT (University of Ontario Institute of Technology)Same topicHuman Pose and Action RecognitionFrench-language works237,207