Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Statistical physics of vaccination
Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …
continue to do so today. To help reduce their impact, mathematical models of disease …
WKB theory of large deviations in stochastic populations
Stochasticity can play an important role in the dynamics of biologically relevant populations.
These span a broad range of scales: from intra-cellular populations of molecules to …
These span a broad range of scales: from intra-cellular populations of molecules to …
COVID-19 superspreading suggests mitigation by social network modulation
Although COVID-19 has caused severe suffering globally, the efficacy of nonpharmaceutical
interventions has been greater than typical models have predicted. Meanwhile, evidence is …
interventions has been greater than typical models have predicted. Meanwhile, evidence is …
Hamiltonian dynamics of the SIS epidemic model with stochastic fluctuations
Empirical records of epidemics reveal that fluctuations are important factors for the spread
and prevalence of infectious diseases. The exact manner in which fluctuations affect …
and prevalence of infectious diseases. The exact manner in which fluctuations affect …
Emergent failures and cascades in power grids: a statistical physics perspective
We model power grids transporting electricity generated by intermittent renewable sources
as complex networks, where line failures can emerge indirectly by noisy power input at the …
as complex networks, where line failures can emerge indirectly by noisy power input at the …
Emergence of scale-free blackout sizes in power grids
We model power grids as graphs with heavy-tailed sinks, which represent demand from
cities, and study cascading failures on such graphs. Our analysis links the scale-free nature …
cities, and study cascading failures on such graphs. Our analysis links the scale-free nature …
Random walks on complex networks with first-passage resetting
We study discrete-time random walks on arbitrary networks with first-passage resetting
processes. To the end, a set of nodes are chosen as observable nodes, and the walker is …
processes. To the end, a set of nodes are chosen as observable nodes, and the walker is …
Outbreak size distribution in stochastic epidemic models
Motivated by recent epidemic outbreaks, including those of COVID-19, we solve the
canonical problem of calculating the dynamics and likelihood of extensive outbreaks in a …
canonical problem of calculating the dynamics and likelihood of extensive outbreaks in a …
Random walks on complex networks under time-dependent stochastic resetting
We study discrete-time random walks on networks subject to a time-dependent stochastic
resetting, where the walker either hops randomly between neighboring nodes with a …
resetting, where the walker either hops randomly between neighboring nodes with a …
Concurrency-induced transitions in epidemic dynamics on temporal networks
Social contact networks underlying epidemic processes in humans and animals are highly
dynamic. The spreading of infections on such temporal networks can differ dramatically from …
dynamic. The spreading of infections on such temporal networks can differ dramatically from …