Results 31 to 40 of about 2,745 (110)
Uniform attractors for non-autonomous wave equations with nonlinear damping
We consider dynamical behavior of non-autonomous wave-type evolutionary equations with nonlinear damping, critical nonlinearity, and time-dependent external forcing which is translation bounded but not translation compact (i.e., external forcing is not ...
Chepyzhov V. V. +6 more
core +1 more source
ABSTRACT Time delays frequently arise in active control systems due to sensor sampling, signal transmission, and actuator response, making their effects on system dynamics non‐negligible. This paper investigates how velocity feedback time delay influences the nonlinear dynamic characteristics of a maglev train subjected to unsteady aerodynamic forces ...
Jia‐Xuan Li, Zhi‐Wei Liu, Xiang Liu
wiley +1 more source
There is a growing awareness that catastrophic phenomena in biology and medicine can be mathematically represented in terms of saddle-node bifurcations.
Huang, Sui +3 more
core +1 more source
Normalized solutions of the critical Schrödinger–Bopp–Podolsky system with logarithmic nonlinearity
Abstract In this paper, we study the following critical Schrödinger–Bopp–Podolsky system driven by the p$p$‐Laplace operator and a logarithmic nonlinearity: −Δpu+V(εx)|u|p−2u+κϕu=λ|u|p−2u+ϑ|u|p−2ulog|u|p+|u|p*−2uinR3,−Δϕ+a2Δ2ϕ=4π2u2inR3.$$\begin{equation*} {\begin{cases} -\Delta _p u+\mathcal {V}(\varepsilon x)|u|^{p-2}u+\kappa \phi u=\lambda |u|^{p-2 ...
Sihua Liang +3 more
wiley +1 more source
Optimized Machine Learning for Autonomous Enzymatic Reaction Intensification in a Self‐Driving Lab
A machine learning‐powered self‐driving lab accelerates enzymatic reaction optimization by autonomously navigating complex parameter spaces. Through over 10,000 simulated campaigns, we identified an optimal algorithm for efficient, automated optimization.
Sebastian Putz +5 more
wiley +1 more source
On quantum averaging, quantum KAM and quantum diffusion
For nonautonomous Hamiltonian systems and their quantisations we discuss properties of the quantised systems, related to those of the corresponding classical systems, described by the KAM-related theories: the proper KAM, the averaging theory, the ...
A. I. Neishtadt +16 more
core +2 more sources
ABSTRACT We present sufficient conditions to obtain a generalized (φ,D)$$ \left(\varphi, \mathfrak{D}\right) $$‐pullback attractor for evolution processes on time‐dependent phase spaces, where φ$$ \varphi $$ is a given decay function and D$$ \mathfrak{D} $$ is a given universe.
Matheus Cheque Bortolan +3 more
wiley +1 more source
This work identifies a novel mechanism by which dopamine D1 receptor (DRD1) contributes to the pathogenesis of glucocorticoid (GC)‐associated osteonecrosis of the femoral head (ONFH) through the regulation of osteoblastic apoptosis, indicating that DRD1 serves as a critical mediator of the crosstalk between the nervous and skeletal systems.
Kai Zheng +11 more
wiley +1 more source
Zebrafish as a Versatile Model Organism: From Tanks to Treatment
The zebrafish, with its optical transparency and genetic tractability, serves as a versatile in vivo platform for biomedical research. This review underscores its significance in modeling a wide spectrum of human diseases—from cancer to metabolic disorders—and in leveraging cutting‐edge technologies like CRISPR and TALENs.
Rupali Srivastava +9 more
wiley +1 more source
Learning Physically Interpretable Atmospheric Models From Data With WSINDy
Abstract The multiscale and turbulent nature of Earth's atmosphere has historically rendered accurate weather modeling a hard problem. Recently, there has been an explosion of interest surrounding data‐driven approaches to weather modeling, which in many cases show improved forecasting accuracy and computational efficiency when compared to traditional ...
Seth Minor +3 more
wiley +1 more source

