Blue Wavelength Light Treatment for Improving Sleep in Patients with Post-Traumatic Stress Disorder
Bibliographic record
Abstract
Traumatic live events comprise the etiology of post-traumatic stress disorder (PTSD). PTSD patients are known to face adverse impacts on their mental and physical health. Symptoms of concern relating to PTSD include heightened anxiety levels, intrusive memories, nightmares, and problems with sleeping. Disrupted sleep leads to exhausted brain function that impedes the daily activities of individuals and impacts their perceived quality of life. Therefore, researchers have sought to examine interventions that help improve sleep and circadian rhythms. Recently, blue-light therapy has been the target of clinical research to understand its role in alleviating PTSD symptoms. Results from clinical trials showed that patients receiving blue light showed significant reductions in daytime sleepiness and fatigue. Furthermore, these individuals showed faster reaction times and greater phase advances in circadian rhythms, leading to earlier sleep onset at night. As we work towards focusing our attention on addressing mental health issues, investigating the benefits of non-pharmacological interventions such as blue-light therapy can help improve the health outcomes of PTSD patients.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".