[HTML][HTML] Tipping point detection and early warnings in climate, ecological, and human systems
Tipping points characterize the situation when a system experiences abrupt, rapid, and
sometimes irreversible changes in response to only a gradual change in environmental …
sometimes irreversible changes in response to only a gradual change in environmental …
DAMP-ING IBD: Extinguish the fire and prevent smoldering
O Sandys, PCF Stokkers, AA Te Velde - Digestive Diseases and Sciences, 2024 - Springer
In inflammatory bowel diseases (IBD), the most promising therapies targeting cytokines or
immune cell trafficking demonstrate around 40% efficacy. As IBD is a multifactorial …
immune cell trafficking demonstrate around 40% efficacy. As IBD is a multifactorial …
Early warning signals have limited applicability to empirical lake data
Research aimed at identifying indicators of persistent abrupt shifts in ecological
communities, aka regime shifts, has led to the development of a suite of early warning …
communities, aka regime shifts, has led to the development of a suite of early warning …
Early detection of thermoacoustic instability in a solid rocket motor: A generative adversarial network approach with limited data
Thermoacoustic instability (TAI) poses a significant challenge to the development of solid
rocket motor (SRM) and detecting early warning signals (EWS) for TAI is crucial. Deep …
rocket motor (SRM) and detecting early warning signals (EWS) for TAI is crucial. Deep …
Predicting discrete-time bifurcations with deep learning
Many natural and man-made systems are prone to critical transitions—abrupt and potentially
devastating changes in dynamics. Deep learning classifiers can provide an early warning …
devastating changes in dynamics. Deep learning classifiers can provide an early warning …
An early warning indicator trained on stochastic disease-spreading models with different noises
AK Chakraborty, S Gao, R Miry… - Journal of the …, 2024 - royalsocietypublishing.org
The timely detection of disease outbreaks through reliable early warning signals (EWSs) is
indispensable for effective public health mitigation strategies. Nevertheless, the intricate …
indispensable for effective public health mitigation strategies. Nevertheless, the intricate …
Tracking the distance to criticality in systems with unknown noise
Many real-world systems undergo abrupt changes in dynamics as they move across critical
points, often with dramatic and irreversible consequences. Much existing theory on …
points, often with dramatic and irreversible consequences. Much existing theory on …
EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models
Early warning signals (EWSs) represent a potentially universal tool for identifying whether a
system is approaching a tipping point, and have been applied in fields including ecology …
system is approaching a tipping point, and have been applied in fields including ecology …
FateNet: an integration of dynamical systems and deep learning for cell fate prediction
Motivation Understanding cellular decision-making, particularly its timing and impact on the
biological system such as tissue health and function, is a fundamental challenge in biology …
biological system such as tissue health and function, is a fundamental challenge in biology …
Universal early warning signals of phase transitions in climate systems
The potential for complex systems to exhibit tipping points in which an equilibrium state
undergoes a sudden and often irreversible shift is well established, but prediction of these …
undergoes a sudden and often irreversible shift is well established, but prediction of these …