Results 31 to 40 of about 5,484 (75)

Immuno-epidemiology of a population structured by immune status: a mathematical study of waning immunity and immune system boosting [PDF]

open access: yesarXiv, 2014
When the body gets infected by a pathogen the immune system develops pathogen-specific immunity. Induced immunity decays in time and years after recovery the host might become susceptible again. Exposure to the pathogen in the environment boosts the immune system thus prolonging the time in which a recovered individual is immune.
arxiv  

Theoretical Aspects of Immunity [PDF]

open access: yesarXiv, 2010
The immune system recognizes a myriad of invading pathogens and their toxic products. It does so with a finite repertoire of antibodies and T cell receptors. We here describe theories that quantify the immune system dynamics. We describe how the immune system recognizes antigens by searching the large space of receptor molecules.
arxiv  

On provable privacy vulnerabilities of graph representations [PDF]

open access: yesarXiv
Graph representation learning (GRL) is critical for extracting insights from complex network structures, but it also raises security concerns due to potential privacy vulnerabilities in these representations. This paper investigates the structural vulnerabilities in graph neural models where sensitive topological information can be inferred through ...
arxiv  

Monotonic and nonmonotonic immune responses in viral infection systems [PDF]

open access: yesarXiv, 2019
In this paper, we study two-dimensional, three-dimensional monotonic and nonmonotonic immune responses in viral infection systems. Our results show that the viral infection systems with monotonic immune response has no bistability appear. However, the systems with nonmonotonic immune response has bistability appear under some conditions.
arxiv  

Effect of beta-propiolactone on adventitious viruses in mouse immune ascitic fluids and sera [PDF]

open access: gold, 1967
A. M. Behbehani   +3 more
openalex   +1 more source

SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins [PDF]

open access: yesarXiv
Direct alignment algorithms (DAAs), such as direct preference optimization (DPO), have become popular alternatives for Reinforcement Learning from Human Feedback (RLHF) due to their simplicity, efficiency, and stability. However, the preferences used in DAAs are usually collected before the alignment training begins and remain unchanged (off-policy ...
arxiv  

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