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Record W2904554724 · doi:10.11575/prism/34988

An Analysis of Human Exposure to Alpha Particle Radiation

2018· dissertation· en· W2904554724 on OpenAlex
Fintan Stanley

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOpen MIND · 2018
Typedissertation
Languageen
FieldMaterials Science
TopicGraphite, nuclear technology, radiation studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlpha particleRadiationAlpha (finance)PhysicsNuclear physicsPsychologyClinical psychology

Abstract

fetched live from OpenAlex

High linear energy transfer (LET) ionizing radiation (IR) is the predominant source of IR humans are exposed to. Radon gas, which emits a high energy alpha-particle, represents the greatest single lifetime source, but also remains comparatively understudied versus low LET IR sources such as x-rays. The inhalation radon (222Rn) gas from indoor air exposes lung tissue to alpha particle radiation, damaging DNA and increasing the lifetime risk of lung cancer. Buildings can concentrate radioactive radon (222Rn) gas to harmful levels. To enable cancer prevention, I examined how Canadian Prairie radon exposure is modified by environmental design and human behavior and evaluated different radon test modalities. I also developed a high-throughput, benchtop alpha-particle irradiation system to facilitate future research into the biological consequences of high LET radiation exposure. Initially, I examined 90+ day radon test results from 2,382 residential homes from an area encompassing 82.5% of the Southern Alberta population. Remediated homes were retested to determine efficacy of radon reduction techniques in this region. Subsequently, 11,726 Alberta and Saskatchewan homes were radon tested, coupled to geographic, design and behavior metrics. Canadian Prairie homes contained 140 Bq/m3 average radon (min <15 Bq/m3; max 7,199 Bq/m3) and 17.8% were ≥ 200 Bq/m3. Geostatistical analysis indicates significant variation between regions. More recently constructed homes contain higher radon versus older. Finally, I also designed and validated a benchtop, 96 well plate-based 241Am irradiation system to expose cultured eukaryotic cells to alpha particles in a controlled environment. My validation of this novel setup includes quantification of nuclear alpha particle-induced DNA damage signalling (γH2AX) using a purpose-designed 3D analysis method, physical readouts of alpha particle-induced DNA damage by alkaline comet assay, and an investigation of cellular viability after alpha particle exposure. This method brings significant advances over existing techniques in its ease of setup and use, affordability, accessibility and flexibility and should enable future alpha particle radiation biology. Collectively, my work demonstrates that radon is a genuine public health concern in the Canadian Prairies, legitimatizes efforts to understand the consequences of radon exposure to the public, and suggest that radon testing and mitigation is likely to be an impactful cancer prevention strategy.

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 categoriesInsufficient payload (model declined to judge)
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 score0.248
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.030
GPT teacher head0.358
Teacher spread0.328 · 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