Results 151 to 160 of about 1,200,520 (247)
ReLink: Reliable Deep Learning for Microscopic Motion Tracking
Advanced Science, EarlyView.ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang +7 more
wiley +1 more source
Advanced Science, EarlyView.Our study identifies MAGI3 as an intestinal epithelial gatekeeper that restrains inflammation‐associated colorectal tumorigenesis but is itself suppressed under highly inflammatory conditions. MAGI3 deficiency activates the STAT3‐CCL2 signaling, thereby promoting TAM‐mediated immunosuppression and inflammation‐associated colorectal tumor progression ...
Yumeng Yang +12 more
wiley +1 more source
Advanced Science, EarlyView.A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia +9 more
wiley +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
Advanced Electronic Materials, EarlyView.A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source
XGBoost Classification of Epileptic EEG Using Nonlinear Dynamical Features and SHAP. [PDF]
Entropy (Basel)Lu X, Lou H, Jin X, Zhang B.
europepmc +1 more source
Comparing Fuzzy-Rough and Fuzzy Entropy-assisted Fuzzy-Rough Feature Selection
, 2008 Feature Selection (FS) methods based on fuzzy-rough set theory (FRFS) have employed the dependency function to guide the FS process with much success. More recently a method has been developed which uses fuzzy-entropy [9] to perform this task.
core
Advanced Electronic Materials, EarlyView.The amorphous tungsten (W) is found to be a promising non‐magnetic interlayer simultaneously driving the long‐range interlayer exchange coupling and the large spin Hall effect in a synthetic antiferromagnet (SyAF). Thanks to these characteristics, efficient spin‐orbit torque switching is achieved in the SyAF.
Xueyao Hou +9 more
wiley +1 more source
An Uncertainty-Robust Decision Framework Based on Fractional Einstein Aggregation for Prioritizing Renewable Power Generation Technologies with Unknown Weights. [PDF]
Entropy (Basel)Albaity M, Rahim M.
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source