Why Only People and Apes are Ill with Common Cold? The Possible Role of Chromosomal Q-Heterochromatin Variability
Bibliographic record
Abstract
Common cold (CC) is referred to the most widespread human illnesses and affects people all over the globe. Till now there is no standard theory explaining the development mechanism(s) of СС. The etiology of the CC is known - over 200 virus strains are implicated in the cause of the common cold; the rhinoviruses are the most common. As for pathogenesis, it is conventional, that cold plays the important role in development of СС. It is believed that cooling causes blood circulatory disturbance and permeability of vessels that consequently deteriorates the tissue nutrition and its resistance against infectious agents, and its resistibility in relation to infection. It is also known that the CC sickness rate is affected by the age (children get sick more often than adults) and gender (male individuals are more susceptible to CC than females, regardless of their age). Among the issues that have not received an answer is another question: why CC affects only upon humans and apes? It is hypothesized that the cause of these higher primates susceptibility to CC is the highest level of their body heat conductivity in the animal world. Just this circumstance contributes to the rapid and deep cooling of the bodies of people and apes when it is cold, with all the ensuing negative consequences for the organism.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".