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Record W7132919045

Effects of Ionizing Radiation on the Biophysical Properties of Type I Collagen

2022· dissertation· W7132919045 on OpenAlexfundno aff
Kester Frederick Ng

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldMaterials Science
TopicCollagen: Extraction and Characterization
Canadian institutionsnot available
FundersUniversity of TorontoAustralian Government
KeywordsIonizing radiationOsteoradionecrosisFluorescenceIrradiationRadiobiologyRadiation therapyCollagen fibril
DOInot available

Abstract

fetched live from OpenAlex

Ionizing radiation is used routinely in clinical practice for diagnostic and therapeutic purposes. However, its effects on collagen, one of the most abundant structural proteins in the human body, are not well characterized. This study aims to assess the effects of ionizing radiation at three dose levels and in two hydration states on the morphology, mechanical properties, protein stability, and fluorescence lifetime of engineered acellular type I collagen samples. We demonstrate that ionizing radiation can alter the mechanical properties of collagen fibrils with minimal morphological change and that these changes arise from inter-fibrillar changes. We also demonstrate that the direction of mechanical change (stiffening or softening) and change in inter-fibrillar biochemistry (increased or decreased fluorescence lifetime) varies based on hydration status at the time of irradiation, suggesting different underlying mechanisms. Clinically, these changes may have implications in the pathophysiology and management of radiation-related sequelae, including osteoradionecrosis and cancer dissemination.

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)0.001
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 score0.010
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.290
Teacher spread0.268 · 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
Published2022
Admission routes1
Has abstractyes

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