Results 121 to 130 of about 23,305 (264)

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

Advanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li, Jin Ning, An Wang, Minxi Shi, Yuanze Chen, Guoliang Liu, Shiquan Sun   +6 more
wiley   +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

Ataxic speech disorders and Parkinson's disease diagnostics via stochastic embedding of empirical mode decomposition. [PDF]

PLoS One, 2023
Campi M, Peters GW, Toczydlowska D.
europepmc   +1 more source

Optimizing Stratification in Binary Colloidal Supraparticles

Advanced Science, EarlyView.
Supraparticles from binary particle populations show stratification when dried at high Péclet numbers. In spray‐dried systems at high initial particle concentration and fast drying conditions optimal combinations of particle size ratios and volume fractions that produce maximal stratification are found both in experiment and simulation, contrasting the
Frederic Rudlof, Silas Wolf, Sonja Schaller, Jonathan Martín González, Carsten Schilde, Nicolas Vogel   +5 more
wiley   +1 more source

From Lidar Measurement to Rotor Effective Wind Speed Prediction: Empirical Mode Decomposition and Gated Recurrent Unit Solution. [PDF]

Sensors (Basel), 2023
Shi S, Liu Z, Deng X, Chen S, Song D.
europepmc   +1 more source

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

Advanced Science, EarlyView.
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He, Wenyi Jing, Le Zhang, Qican Zhang, Tingdong Kou, Xin He, Yan Qiu, Yang Lu, Jian Cui, Yongfu Wen, Zhenrong Zheng, Hongying Zhang, Dayong Jin, Junfei Shen   +13 more
wiley   +1 more source

Classification of fall risk in Parkinson's disease using empirical mode decomposition and machine learning. [PDF]

Front Bioeng Biotechnol
Gui Y, Fan Y, Liu L, Cao J, Zhang L, Yu Y, Adams R, Han J, Lyu J.   +8 more
europepmc   +1 more source

Capturing the power of seizures: an empirical mode decomposition analysis of epileptic activity in the mouse hippocampus. [PDF]

Front Mol Neurosci, 2023
Molnár L, Ferando I, Liu B, Mokhtar P, Domokos J, Mody I.   +5 more
europepmc   +1 more source

Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries

Advanced Science, EarlyView.
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park, Myeongcho Jang, Hun‐Gi Jung, Kyung Yoon Chung, Seungho Yu   +4 more
wiley   +1 more source

Estuarine salinity prediction using empirical mode decomposition and random forest for supporting water resource management. [PDF]

Sci Rep
Kang Z, Huang H, Zhang J, Li Z, Chen Y, Du B, Lin K, Chen X.   +7 more
europepmc   +1 more source