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Record W1954675522 · doi:10.3968/4382

Archaeal Symbiosis and Digoxin Status Modulates Evolution of Homo Sapiens and Homo Neanderthalis - Digoxin Is a Neanderthal Hormone

2013· article· en· W1954675522 on OpenAlexvenueno aff
Ravikumar Kurup, Parameswara Achutha Kurup

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyDigoxinPopulationGeneticsInternal medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.005
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.269
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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