Synchronization‐Dissipation in the Cardiorespiratory System
By modeling central nervous coupling and viscoelastic interactions in the cardiorespiratory system we show that synchronization produces a 10% gain in cardiac efficiency in humans. It is surmised that respiratory sinus arrhythmia improves cardiac pumping efficiency by reducing dynamic stress and power dissipation in the pulmonary vasculature.
Joshua R. Border +3 more
wiley +1 more source
A time series based dynamic prediction model for loess mudstone landslides. [PDF]
Tang C +7 more
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WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source
Multiscale Ordinal-Pattern Dynamics and Temporal Symmetries in a Photonic Neuron with Single and Dual Delayed Feedback. [PDF]
Feiveson J +3 more
europepmc +1 more source
Uncovering nonlinear causal relationship between public environmental concern and air pollution in China using convergent cross mapping. [PDF]
Wang Q, Long K, Wu B.
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A Missing Data Imputation Method for Gas Time Series Based on Spatio-Temporal Graph Attention Network-Echo State Network. [PDF]
Yang J, Qin K, Ye J, Zhao Y, Shu L.
europepmc +1 more source
TC-KAN: Time-Conditioned Kolmogorov-Arnold Networks with Time-Dependent Activations for Long-Term Time Series Forecasting. [PDF]
Shen Z, Fu Y, Weng L, Han K, Xu Y.
europepmc +1 more source
A theoretic predictive model to simulate the interference effects of acute aerobic exercise on rate of force development in weightlifters. [PDF]
Pistilli EE, Mizener AD, Clayton SA.
europepmc +1 more source
Novel Dual Residual-Enhanced Deep Bidirectional LSTM Network for Soft Sensing of Rare Earth Component Content. [PDF]
Dai W, Lu R, Chen P, Yang H.
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Testing Time Series for Nonlinearity
Statistics and Computing, 2001The technique of surrogate data analysis may be employed to test the hypothesis that an observed data set was generated by one of several specific classes of dynamical system. Current algorithms for surrogate data analysis enable one, in a generic way, to test for membership of the following three classes of dynamical system: (0) independent and ...
Michael Small +2 more
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