Results 161 to 170 of about 18,172 (251)

Experimentally characterising the dynamical landscape of an active MEMS cantilever. [PDF]

Commun Eng
Hayashi S, Cameron C, Gutschmidt S, Murray R, Krauskopf B.   +4 more
europepmc   +1 more source

Interacting Parallel Fluidic Hysterons

Advanced Science, EarlyView.
The parallel coupling of fluidic hysterons is introduced, establishing advanced functionalities in inflatable soft systems. A pressure–volume framework reveals how preset volumes Δv∗${\Delta }v^*$ tune nonlinear interactions between hysterons and actuation sequences without changing architecture. Experiments validate the predictions, opening new routes
Katrien Stinissen, Franco Nicolas Piñan Basualdo, Benjamin Gorissen   +2 more
wiley   +1 more source

Simulation control analysis of a magnetic levitation flywheel rotor system based on a fuzzy PID control algorithm. [PDF]

Sci Rep
Dong W, Zhang B, Luo J.
europepmc   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

Severity and duration-dependent aortic stiffening in a rabbit coarctation model identifies constitutive material parameters as promising regional biomarkers for hypertension progression. [PDF]

Sci Rep
Ghorbannia A, Azarnoosh J, LaDisa JF.
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Seamless Human-Computer Interaction Enabled by Wearable Biointerfaces and Intelligent Systems. [PDF]

Biomimetics (Basel)
Wei H, Hua J, Jiang Y, Zhu W, Cheng W, Shi Y, Pan L.   +6 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization

Advanced Science, EarlyView.
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley   +1 more source

Bio-Inspired Proprioception for Sensorless Control of a Klann Linkage Robot Using Attention-LSTM. [PDF]

Biomimetics (Basel)
Jung H, Choi W, Woo S, Choi W, Bae WG.
europepmc   +1 more source