Endosymbiotic Actinidic Archaea/Viroids, Hemispheric Dominance and the Tridosha Theory
Bibliographic record
Abstract
Objective: Endogenous digoxin has been related to hemispheric dominance. Right hemispheric dominant individuals were hyperdigoxinemic, left hemispheric dominan t indiv idual s wer e hypodigoxinemic and bihemispheric dominant individuals were normodigoxinemic. The possibility of endogenous digoxin synthesis by actinide based primitive organism like archaea with a mevalonate pathway and cholesterol catabolism was considered. An actinide dependent shadow biosphere of archaea and viroids in normal humans and disease states is described. The intracellular endosymbionts archaea and their intron derived viroids constitute the third element regulating the human body. Ayurveda, the traditional Indian System of Medicine, deals with the theory of the three tridosha states (both physical and psychological): Vata, Pitta, and Kapha. The Kapha state has been demonstrated as equivalent to right hemispheric dominant hyperdigoxinemic state. The Pitta state has been demonstrated as equivalent to the left hemispheric dominant hypodigoxinemic state. The Vata state has been demonstrated as equivalent to the bihemispheric dominant normodigoxinemic state.8 The study assessed actinidic archaea and viroids in the tridosha states of Ayurveda. The results are presented in this paper. Methods: The following groups were included in the study:- (I) right handed-left hemispheric dominantpitta group, (II) left handed-right hemispheric dominantkapha group and (III) amphidextrous-bihemispheric dominant-vata group of individuals. Cholesterol substrate was added to the plasma of the patients and the generation of cytochrome F420, free RNA, free DNA, polycyclic aromatic hydrocarbon, hydrogen peroxide, serotonin, pyruvate, ammonia, glutamate, cytochrome C, hexokinase, ATP synthase, HMG CoA reductase, digoxin and bile acids were studied. The changes with the addition of antibiotics and rutile to the patient’s plasma were also studied. Results: The plasma of the bihemispheric dominant vata group showed detectable levels of the above mentioned parameters after incubation for 1 hour and addition of cholesterol substrate resulted in still further increase in these parameters. The addition of antibiotics to the bihemispheric dominant vata group caused a decrease in all the parameters while addition of rutile increased their levels. The plasma of right hemispheric dominant kapha group showed a significant increase in the above mentioned parameters as compared to bihemispheric dominant vata group. The addition of antibiotics to the right hemispheric dominant kapha group caused a decrease in all the parameters while addition of rutile increased their levels but the extent of change was more in right hemispheric dominant kapha group as compared to bihemispheric dominant vata group. The plasma of left hemispheric dominant pitta group showed a significant decrease in the above mentioned parameters as compared to the bihemispheric dominant vata group. The addition of antibiotics to the left hemispheric dominant pitta group caused a decrease in all the parameters while addition of rutile increased their levels but the extent of change was less in left hemispheric dominant pitta group as compared to bihemispheric dominant vata group. Conclusion: The third element formed of intracellular archaea and viroidal symbiosis determines hemispheric dominance and tridoshas. Also archaeal cholesterol synthesis and cholesterol catabolism determines hemispheric dominance and tridoshas. The archaea and viroidal density is high in right hemispheric dominant kapha group, intermediate in bihemispheric dominant vata group and low in left hemispheric dominant pitta group. Key words : Archaea; Viroids; Cholesterol; Digoxin; Hemispheric dominance; Tridoshas; Vata; Pitta; Kapha
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".