Results 51 to 60 of about 449,317 (315)
Statistical models for dependent and non-stationary extreme events [PDF]
Extreme value methods are used in a wide range of applications, for example they may be used for modelling wave heights and river levels in hydrology, wind speeds in structural engineering and share price return levels in economics.
Eastoe, Emma F, Eastoe, Emma F.
core
Simulation of extreme weather events by a stochastic weather generator [PDF]
A stochastic weather generator is a model capable of generating daily weather patterns that are statistically similar to the observed patterns. Weather generators are commonly used in climate change studies as a computationally inexpensive tool to ...
Semenov, M. A.
core +1 more source
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
Biases in Estimating Long‐Term Recurrence Intervals of Extreme Events Due To Regionalized Sampling
Preparing for environmental risks requires estimating the frequencies of extreme events, often from data records that are too short to confirm them directly. This requires fitting a statistical distribution to the data.
Moutassem El Rafei +4 more
doaj +1 more source
ABSTRACT Background Chronic limb‐threatening ischemia (CLTI) is a severe form of lower‐extremity artery disease characterized by distal lesions and microcirculatory impairment, limiting revascularization efficacy. Rheocarna is a direct hemoperfusion low‐density lipoprotein (LDL) adsorption device with potential rheological and anti‐inflammatory ...
Kunihiro Ishioka +12 more
wiley +1 more source
Modeling Extreme Events: Time-Varying Extreme Tail Shape
We propose a dynamic semiparametric framework to study time variation in tail parameters. The framework builds on the Generalized Pareto Distribution (GPD) for modeling peaks over thresholds as in Extreme Value Theory, but casts the model in a conditional framework to allow for time-variation in the tail parameters.
Enzo D’Innocenzo +3 more
openaire +3 more sources
Extreme events in the context of climate change
By definition, extreme events are rare. Socio-economic and human systems have not experienced adverse extreme events frequently enough to develop resilience, whether this be physical, economical or structural.
Pitman, A ; https://orcid.org/ +5 more
core +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Extreme events in computational turbulence [PDF]
Significance In the last decade or so, massive computations of turbulence performed by solving the exact equations of hydrodynamic turbulence have provided new quantitative data and enhanced our understanding. This paper presents results from the largest such computations, to date, devoted to the study of small scales.
P K, Yeung +2 more
openaire +2 more sources
We trace the evolution of research on extreme solar and solar-terrestrial events from the 1859 Carrington event to the rapid development of the last twenty years.
Shibata, Kazunari +7 more
core +1 more source

