Bibliographic record
Abstract
The number of people affected by brain damage each year ranges from millions to billions. Research into factors that affect brain damage and recovery from the disabilities incurred is pertinent to alleviating stress put on individuals, their families, healthcare systems, and society as a whole. Circadian rhythms are ubiquitous throughout the animal kingdom, throughout individual organisms, and even in each cell of an organism. Therefore, circadian influences on brain damage, recovery, and physical brain repair warrant further investigation. In this dissertation, the role of the circadian clock in stroke outcome, and in models of brain repair will be examined. I hypothesize that circadian rhythmicity is involved not only in outcomes following brain damage, but may also be a significant contributor to neuroregeneration. Here, I show the effects of the time of day that a stroke occurs on behavioural and anatomical outcome in rats. This is followed by an investigation into the rhythmic expression of clock genes in regenerated medial prefrontal cortex (MPFC), and the effects that circadian dysfunction has on regeneration in both the neonatal MPFC, and adult subgranular zone of the dentate gyrus in mice.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".