The Role of Modified Mediterranean Diet and Quantum Therapy in Type Diabetes Mellitus Primary Prevention
Bibliographic record
Abstract
The Authors provide an overview of useful treatments such as ‘Modified Mediterranean Diet’, CoQ10, melatonin, carnitine and ‘Quantum Therapy’, testing their effects in Type 2 Diabetes Mellitus (T2DM) primary prevention, performed possibly in the three first stages of T2DM. This is done through ‘Quantum Biophysical Semeiotics’ biological evaluation, clinically monitoring the results and efficiency of ongoing therapies aimed at improving mitochondrial and endothelial function, when it is impaired in any biological systems. This clinical method allows physicians to bedside assess tissue acidosis, before and during different preventive therapies, testing their respective efficacy and utility.All the investigated treatments have firstly ameliorated and then normalized tissue microcirculatory pattern, showing a physiological functioning. Furthermore the tested ‘Quantum therapy’ generates virtuous genetic feedbacks.‘Quantum Biophysical Semeiotics’ theory is an extension of medical semeiotics. It is grounded on a multidisciplinary approach that involves chemistry and biology, genetics and neuroscience, chaos theory and quantum physics.It is based on the method of ‘Auscultatory Percussion’, through which by means of the common stethoscope, it is possible to listen to the signs that the body gives us when appropriately stimulated.The stimuli are used to induce consistent behavior in precise and welldefined biological systems of the human body, thus giving local qualitative information on the state of health or disease, whether potential, being developed but not yet evident by usual clinical trial, effective or even in chronic phase. The 'Quantum Biophysical Semeiotics’ theory provides very detailed case studies based on the latency time, duration, and intensity of the reflexes, which play a central role in such a diagnostic method.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".