Stochastic threshold dynamics of an HIV model with latent cell activation under mean-reverting environmental noise
Zhongwei Cao, Yuchen Jiang, Zhenfeng Shi, Daqing Jiang, Su Wei, Yaxin Zhou · 2027
Read Stochastic threshold dynamics of an HIV model with latent cell activation under mean-reverting environmental noise by Zhongwei Cao, Yuchen Jiang, Zhenfeng Shi, Daqing Jiang, Su Wei, Yaxin Zhou (2027) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13375947.txt.
Description
Zhongwei Cao and co-authors model HIV with cells that hide in a 2027 math study. Some sick cells rest and hide the virus from drugs, then wake and seed it anew. Air-like swings in the body's state can sway those wakes, the team holds.
Their model lets growth and wake rates swing in a way that pulls back to a mean. Math proves one true path for the sums and gives cut lines for the virus to stay or to die out. Strong swings can kill the virus off in the sums, even when a still model says it would stay. The work is sums alone, a guide for next lab tests.
Catalog record
| CREATOR | Zhongwei Cao, Yuchen Jiang, Zhenfeng Shi, Daqing Jiang, Su Wei, Yaxin Zhou |
|---|---|
| YEAR | 2027 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 156270 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |