EFFECT OF BALINESE FLUTE INSTRUMENT FOR IMPROVING COGNITIVE FUNCTION IN ELDERLY
Bibliographic record
Abstract
Background: Cognitive impairment is mostly affected the elderly population which reduces the quality of life for sufferers and their families. The last research showed that listening to Balinese flute instrument music increased cognitive function, especially in the memory domain. However, the study is still limited to small populations. Objective: to determine whether playing the Balinese flute with or without listening to the "Morning Happiness" song affects the cognitive function of elderly. Methods: This experimental study was conducted on healthy geriatric patients above 55 years old with controlled risk factors or no history of any chronic conditions which were divided into 2 groups. The "Morning Happiness" song will be played with Balinese flute instrument in both groups whereas the intervention will add to listen to similar songs. Results: 28 subjects in the intervention group and 20 subjects in the control group. Both groups were comprised of typical gender distribution with an average of 65.08±6.41 years old. Both the intervention and control groups had improved in MoCA-Ina (The Indonesian Version of Montreal Cognitive Assessment) scores, but the intervention group gained a better Z-score (-3.193, p-value 0.001) than the control group (-1.466, p-value 0.143) after procedural. The delayed recall domain also showed significant improvement in both groups with a Z-score of -3.241 (p-value 0.001) in control and -2.30 (p-value 0.026) in intervention group respectively. Interestingly, the attention domain is improved in the control group with a Z-score of -2.142 (p-value 0.032) rather than in intervention group. Conclusion: The overall MoCa-Ina score was significantly higher in interventional subjects than control, specifically in the delayed recall domain.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".