Results 221 to 230 of about 18,968 (299)

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

Exploring the neural mechanisms of mild cognitive impairment in elderly patients with coronary artery disease using machine learning and source-localized EEG. [PDF]

Front Neurol
Wan H, Deng Y, Lin F, Li J, Xiao H, Xiao L.   +5 more
europepmc   +1 more source

Synergistic Effect of Gradient Conductivity and Gradient Microstructures Enabled Ultrasensitive and Ultrabroad Linear Flexible Tactile Sensors

Advanced Science, EarlyView.
A design of double gradient effect is proposed to resolve the contradictory optimization on sensitivity and linearity of piezoresistive tactile sensors. The ultrawide linearity is realized by the sequential trigger of pressure‐induced gradient conductivity‐enabled linear current owing to the gradient microstructures.
Yao Fang, Yiwei Wang, Bing Zheng, Liu Yang, Jingyi Yue, Qian Zhou, Jinrong Huang, Yongyun Mao, Qian Li, Jifei Wang, Dongsheng Tang, Yuxin Tang, Bingpu Zhou, Bing Ji   +13 more
wiley   +1 more source

Dynamical analysis of a time-delayed financial system with synchronization strategies. [PDF]

Sci Prog
Phukan A, Dehingia K, Sarmah HK, Borah L.   +3 more
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

Thermodynamic and kinematic origins of anisotropic relativity. [PDF]

Sci Rep
Livadiotis G, McComas DJ.
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

Juvenile myoclonic epilepsy as a spectrum disorder: mechanisms of drug resistance and precision management. [PDF]

Front Neurol
Liu X, Sun M, Du X.
europepmc   +1 more source

Beyond Potency: Emerging Determinants and Optimization Strategies Enhancing Therapeutic Efficacy of Adult Stem Cells

Advanced Science, EarlyView.
Adult stem cell therapy requires more than high in vitro potency. This review proposes a systems framework in which cell‐intrinsic programs, instructive microenvironmental cues, and pre‐/post‐delivery engineering are co‐designed under standardized translational rules.
Soo‐Rim Kim, Yun Jae Jung, Hwa‐Yong Lee   +2 more
wiley   +1 more source

Geometric Decomposition of OCT Angiography in RVO: Unmasking Congestive Versus Compensatory Phenotypes and Deep Retina-Choroid Coupling. [PDF]

Transl Vis Sci Technol
Zhan J, Qiao D, Sun G, Li H, Huang X, Deng X, Wu Q, Lu L, Zhao X.   +8 more
europepmc   +1 more source