Meagan Carney
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View article: A novel statistical workflow for nonstationary modelling of successive Fréchet extremes
A novel statistical workflow for nonstationary modelling of successive Fréchet extremes Open
Accurate estimation of the frequency and magnitude of successive extreme events in energy demand is critical for strategic resource planning. Traditional approaches based on extreme value theory (EVT) are typically limited to modelling iso…
View article: An Improved Autoencoder Conjugacy Network to Learn Chaotic Maps
An Improved Autoencoder Conjugacy Network to Learn Chaotic Maps Open
We introduce a method for learning chaotic maps using an improved autoencoder neural network that incorporates a conjugacy layer in the latent space. The added conjugacy layer transforms nonlinear maps into a simple piecewise linear map (t…
View article: Modeling multiday extreme precipitation across eastern Australia: a dynamical perspective
Modeling multiday extreme precipitation across eastern Australia: a dynamical perspective Open
The purpose of this paper is to illustrate new techniques for computing multiday extreme precipitation taken from recent theoretical advancements in extreme value theory in the framework of dynamical systems, using historical precipitation…
View article: Measurement of serum 1,5-AG provides insights for diabetes management and the anti-viral immune response
Measurement of serum 1,5-AG provides insights for diabetes management and the anti-viral immune response Open
Background Achieving an in-range glycated haemoglobin (HbA1c) is essential for managing diabetes mellitus (DM). However, this parameter provides an estimate of long-term blood glucose control rather than daily glycaemic variations. Glycaem…
View article: An analytical, numerical and experimental study of in-vitro SARS-CoV-2 evolution in Vero B4 cells
An analytical, numerical and experimental study of in-vitro SARS-CoV-2 evolution in Vero B4 cells Open
We derive a numerical model representing the emergence and evolution of SARS-CoV-2 variants, informed by data from in-vitro passaging experiments in Vero B4 cells. We compare our numerical simulation results against probabilistic derivatio…
View article: Post-acute sequelae of SARS-CoV-2 cardiovascular symptoms are associated with trace-level cytokines that affect cardiomyocyte function
Post-acute sequelae of SARS-CoV-2 cardiovascular symptoms are associated with trace-level cytokines that affect cardiomyocyte function Open
View article: Cardiovascular symptoms of PASC are associated with trace-level cytokines that affect the function of human pluripotent stem cell derived cardiomyocytes
Cardiovascular symptoms of PASC are associated with trace-level cytokines that affect the function of human pluripotent stem cell derived cardiomyocytes Open
Globally, over 65 million individuals are estimated to suffer from post-acute sequelae of COVID-19 (PASC). A large number of individuals living with PASC experience cardiovascular symptoms (i.e. chest pain and heart palpitations) (PASC-CVS…
View article: Modeling Multiday Extreme Precipitation Across Eastern Australia: A Dynamical Perspective
Modeling Multiday Extreme Precipitation Across Eastern Australia: A Dynamical Perspective Open
The purpose of this paper is to illustrate new techniques for computing multiday extreme precipitation taken from recent theoretical advancements in extreme value theory in the framework of dynamical systems, using historical precipitation…
View article: Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study
Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study Open
Snow Medical Research Foundation, the National Health and Medical Research Council, the Jack Ma Foundation, the Helmholtz-Association, the A2 Milk Company, National Institute of Allergy and Infectious Disease, and the Fondazione AIRC Assoc…
View article: Runs of Extremes of Observables on Dynamical Systems and Applications
Runs of Extremes of Observables on Dynamical Systems and Applications Open
We use extreme value theory to estimate the probability of successive exceedances of a threshold value of a time-series of an observable on several classes of chaotic dynamical systems. The observables have either a Fréchet (fat-tailed) or…
View article: Elevated BMI reduces the humoral response to SARS‐CoV‐2 infection
Elevated BMI reduces the humoral response to SARS‐CoV‐2 infection Open
Objective Class III obesity (body mass index [BMI] ≥ 40 kg m −2 ) significantly impairs the immune response to SARS‐CoV‐2 vaccination. However, the effect of an elevated BMI (≥ 25 kg m −2 ) on humoral immunity to SARS‐CoV‐2 infection and C…
View article: Hurricane Simulation and Extremal Analysis with Adaptations for a Changing Climate
Hurricane Simulation and Extremal Analysis with Adaptations for a Changing Climate Open
Particularly important to hurricane risk assessment for coastal regions is finding accurate approximations of return probabilities of maximum windspeeds. Since extremes in maximum windspeed have a direct relationship to minimums in the cen…
View article: Hurricane Simulation and Nonstationary Extremal Analysis for a Changing Climate
Hurricane Simulation and Nonstationary Extremal Analysis for a Changing Climate Open
Particularly important to hurricane risk assessment for coastal regions is finding accurate approximations of return probabilities of maximum windspeeds. Since extremes in maximum windspeed have a direct relationship to minimums in the cen…
View article: Extremes and extremal indices for level set observables on hyperbolic systems <sup>*</sup>
Extremes and extremal indices for level set observables on hyperbolic systems <sup>*</sup> Open
Consider an ergodic measure preserving dynamical system ( T , X , μ ), and an observable . For the time series X n ( x ) = ϕ ( T n ( x )), we establish limit laws for the maximum process M n = max k ⩽ n X k in the case where ϕ is an …
View article: Sources and Sinks of Rare Trajectories in 2-Dimensional Velocity Fields Identified by Importance Sampling
Sources and Sinks of Rare Trajectories in 2-Dimensional Velocity Fields Identified by Importance Sampling Open
We use importance sampling in a redefined way to highlight and investigate rare events in the form of trajectories trapped inside a target coherent set. We take a transfer operator approach to finding these sets on a reconstructed 2-dimens…
View article: Robust regional clustering and modeling of nonstationary summer temperature extremes across Germany
Robust regional clustering and modeling of nonstationary summer temperature extremes across Germany Open
We use sophisticated machine-learning techniques on a network of summer temperature and precipitation time series taken from stations throughout Germany for the years from 1960 to 2018. In particular, we consider (normalized) maximized mut…
View article: Analysis and Simulation of Extremes and Rare Events in Complex Systems
Analysis and Simulation of Extremes and Rare Events in Complex Systems Open
View article: Extremes and extremal indices for level set observables on hyperbolic systems
Extremes and extremal indices for level set observables on hyperbolic systems Open
Consider an ergodic measure preserving dynamical system $(T,X,μ)$, and an observable $ϕ:X\to\mathbb{R}$. For the time series $X_n(x)=ϕ(T^{n}(x))$, we establish limit laws for the maximum process $M_n=\max_{k\leq n}X_k$ in the case where $ϕ…
View article: Extremes and extremal indices for level set observables on hyperbolic\n systems
Extremes and extremal indices for level set observables on hyperbolic\n systems Open
Consider an ergodic measure preserving dynamical system $(T,X,\\mu)$, and an\nobservable $\\phi:X\\to\\mathbb{R}$. For the time series $X_n(x)=\\phi(T^{n}(x))$,\nwe establish limit laws for the maximum process $M_n=\\max_{k\\leq n}X_k$ in …