Results 231 to 240 of about 522,534 (332)
Noise as Medicine: The Role of Microbial and Electrical Noise in Restoring Neuroimmune Tolerance Through Stochastic Resonance. [PDF]
Piña Mojica E, Ribeiro JV, Fregni F.
europepmc +1 more source
Forward-Backward RRT: Branched Sampled FBSDEs for Stochastic Optimal Control.
Kelsey P. Hawkins +3 more
openalex +1 more source
A Scalable Framework for Comprehensive Typing of Polymorphic Immune Genes from Long‐Read Data
SpecImmune introduces a unified computational framework optimized for long‐read sequencing to resolve over 400 highly polymorphic immune genes. This scalable approach achieves high‐resolution typing, enabling the discovery of cross‐family co‐evolutionary networks and population‐specific diversity.
Shuai Wang +5 more
wiley +1 more source
Optimizing vaccine allocation: a review of epidemiological models with behavioral adaptation. [PDF]
Gudeli R, Mangu K, Agarwal H.
europepmc +1 more source
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li +3 more
wiley +1 more source
A dual-stochastic real options model for sports tourism investment: A case study in China. [PDF]
Liu T, Cheng J, Huang Y.
europepmc +1 more source
Designing Scalable Mechano‐Virucidal Nanostructured Acrylic Surfaces for Enhanced Viral Inactivation
Can a surface be designed to physically break viruses? This study explores how nanoscale geometry—specifically the spacing of tiny pillars—can determine whether viruses remain intact or rupture. Using flexible acrylic and a scalable fabrication process, the authors develop nanopillared, transparent surfaces that show strong antiviral activity without ...
Samson W. L. Mah +14 more
wiley +1 more source
TimesNet-BFT: Mitigating Network State Uncertainty in Byzantine Consensus via Deep Temporal Modeling. [PDF]
Wang H, Liu H, Liu Y, Ma H, Gao P.
europepmc +1 more source

