Bio-Physical tendencies with applied methods of mind/body/soul techniques sound frequencies and including the art of intuition
Bibliographic record
Abstract
This study was conducted to determine the effects of sound vibration on individuals with depression. The study also examined changes to the blood cells as observed through live blood analysis when the intervention of vibratory frequencies ranged from 64Hz to 600Hz. Variables consisted of a time frame of one hour of control group (n=17) listening to music from the position of a chair in a contained room, and experimental group (n=27) positioned on a sound vibrational treatment table. The random study was conducted on 7 males and 37 females with a minimal six-month diagnosis of depression. Measurement was accomplished through evaluation of live blood analysis level of aggregation and Profile of Mood States questionnaire for depression. A drop of blood from a finger puncture was obtained and examined through Darkfield microscopy for specific quality and level of visible clumping. Marilyn Parkin International College of Medical Intuition Inc, Canada Bio-Physical tendencies with applied methods of mind/body/soul techniques sound frequencies and including the art of intuition Post blood analysis determined less clumping and healthier activity of the cells after intervention in the experimental group. The live blood analysis of the control group remained unchanged. Profile of Mood States for Depression indicated there was no significant difference between the experimental and control groups. Results indicated an increase in mood state from the use of music and blood aggregation was reduced only with the sound vibrational treatment table.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".