Quantitative Biology

2609 Submissions

[2] viXra:2609.0097 [pdf] submitted on 2026-09-30 20:26:30

Mental Disorders Are Persistent Infections Caused by an Influenza Virus

Authors: Mingyong Chen
Comments: 12 Pages.

Neurasthenia, neurosis, depression and the like are persistent infections caused by a low-pathogenic influenza virus. Since this virus was first isolated in August 2016 up to the present (June 2017), it has consistently been isolated from myself and from others with the same symptoms, while it cannot be isolated from healthy controls. The isolation frequency is once every 10 to 20 days, and at the time of isolation there must be no obvious cold symptoms such as fever. The isolation method and characteristics of this influenza virus differ greatly from those of influenza A and B viruses; it is most likely an influenza C virus, although the possibility that it is an entirely new influenza virus that has never been isolated before cannot be ruled out.This virus may have been with us throughout human history, and it will not simply disappear because politicians and scientists choose to ignore it. The right thing to do is to face it head-on and unite the world's efforts to defeat it.
Category: Quantitative Biology

[1] viXra:2609.0063 [pdf] submitted on 2026-09-23 20:05:33

Sex in Space-Time: How Discrete Interactions Favor Sexual Reproduction

Authors: Renato Vieira dos Santos
Comments: 17 Pages. 10.1016/j.chaos.2026.119179

The prevalence of sexual reproduction in nature remains an evolutionary paradox, given its substantial costs compared to asexual alternatives. While genetic explanations such as the Red Queen hypothesis emphasize coevolution with parasites, the role of spatiotemporal discreteness and population structure has been underexplored. Spatial structure matters because real populations are finite, interact locally, and are subject to demographic noise, factors that can fundamentally alter evolutionary outcomes. Here, we show that the discrete, nonlinear character of interactions between hosts and pathogens, when combined with spatial diffusion in low-dimensional habitats, naturally favors sexual reproduction. Using stochastic reaction—diffusion models and renormalization group analysis, we demonstrate that asexual populations face certain extinction in dimensions d≤2 due to discreteness-induced extinction (DIE), whereas sexual populations can persist and form stabilizing clusters. The mechanism hinges on the recurrence of random walks in low dimensions, which ensures pathogen-host encounters for asexuals but promotes protective clustering for sexuals. Our results suggest that the advantage of sex may emerge from purely physical and demographic constraints, independent of genetic mechanisms, thereby offering a new perspective on this classic evolutionary puzzle.
Category: Quantitative Biology