A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics
Advanced Science, EarlyView.A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma +22 more
wiley +1 more source
An Introduction to Shrinkage Estimation of the Covariance Matrix: A Pedagogic Illustration
Spreadsheets in Education, 2011 Shrinkage estimation of the covariance matrix of asset returns was introduced to the finance profession several years ago. Since then, the approach has also received considerable attention in various life science studies, as a remedial measure for ...
Clarence C. Y. Kwan
doaj
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Advanced Electronic Materials, EarlyView.Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Virtual covariance matrix reconstruction-based adaptive beamforming for small aperture array. [PDF]
PLoS One, 2023 Chang L, Zhang H, Yang H, Lv T, Tang N.
europepmc +1 more source
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Advanced Electronic Materials, EarlyView.Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
Statistical learning of protein elastic network from positional covariance matrix. [PDF]
Comput Struct Biotechnol J, 2023 Yu CC, Raj N, Chu JW.
europepmc +1 more source
Advanced Energy Materials, EarlyView.Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix Reconstruction. [PDF]
Sensors (Basel), 2023 Yao J +5 more
europepmc +1 more source
Advanced Energy Materials, EarlyView.Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang +16 more
wiley +1 more source
A New Statistical Method for Determining the Clutter Covariance Matrix in Spatial-Temporal Adaptive Processing of a Radar Signal. [PDF]
Sensors (Basel), 2023 Kawalec A, Ślesicka A, Ślesicki B.
europepmc +1 more source