Archaeal Symbiosis and Digoxin Status Modulates Evolution of Homo Sapiens and Homo Neanderthalis - Digoxin Is a Neanderthal Hormone
Bibliographic record
Abstract
Introduction: The climate change and global warming/ice age results in endosymbiotic actinidic archaeal growth in the human system and cholesterol catabolism resulting in endogenous digoxin synthesis. The increased endosymbiotic archaeal growth detected in autism and matrilineal communities with increased incidence of autism and neanderthalic origin leads to the conclusion that digoxin acts as neanderthalic hormone. The increased endosymbiotic archaeal growth and resultant endogenous digoxin synthesis in relation to climate change and global warming results in neanderthalisation of homo sapiens and human disease resulting in homo sapien extinction. Digoxin can inhibit reverse transcriptase activity and RNA editing resulting in suppression of endogenous retroviral growth. This produces inhibition of HERV expression and jumping gene phenomena producing in adynamicity of the human genome. HERV related jumping genes are crucial in synaptic diversity, HLA expression and immunomodulation as well as metabolic diversity. Digoxin produces alteration in sodium-hydrogen exchange producing an acidic pH and acts like a growth factor producing stem cell transformation of adult cells. Stem cells have a distinct metabolism with increased glycolysis and suppression of PDH and mitochondrial function. This can result in cancer and metabolic syndrome. The digoxin interference with RNA editing can lead to mutated RNA viruses and wide spread RNA viral epidemics. The digoxin interference with HERV expression and RNA editing and resultant inhibition of genomic, metabolic, neural and immune diversity produces autoimmune disease, cancer, metabolic syndrome, degenerations, schizophrenia and autism which are increasing at epidemic rates in human population. Materials and Methods: Endogenous digoxin levels and serum cytochrome F420 levels as a marker of archaeal growth were estimated in matrilineal communities, SLE, multiple sclerosis, parkinson’s disease, alzheimer’s disease, CNS glioma, multiple myeloma, metabolic syndrome x with CAD and CVA, schizophrenia and autism. 15 numbers were included in each group and each patient had an age and sex matched control. Endogenous digoxin was estimated by Elisa and cytochrome F420 estimated by spectrophotometry. The statistical analysis was done by ANOVA. Results: Endogenous digoxin levels and cytochrome F420 levels were elevated in matrilineal neanderthalic communities, SLE, multiple sclerosis, parkinson’s disease, alzheimer’s disease, CNS glioma, multiple myeloma, metabolic syndrome x with CAD and CVA, schizophrenia and autism. Endogenous digoxin and cytochrome F420 levels were low in non-matrilineal homo sapien population. Conclusion: Homo sapiens tend to have low levels of endosymbiotic actinidic archaea and low digoxin synthesis. Homo sapiens have low incidence of autoimmune disease, cancer, schizophrenia, autism and metabolic syndrome. The neanderthalisation of homo sapiens consequent to endosymbiotic actinidic archaeal growth and digoxin synthesis produces human pathology and extinction. Homo neanderthalis have higher rates of actinidic archaeal symbiosis and digoxin synthesis with higher incidence of autoimmune disease, cancer, schizophrenia, autism and metabolic syndrome. Actinidic archaeal secreted digoxin functions as a Neanderthal hormone.
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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 | 0.000 |
| 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".