Results 161 to 170 of about 300,325 (331)
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
ReHA-Net: a ReVIN-hybrid attention network with multiscale convolution for robust EEG artifact removal in brain-computer interfaces. [PDF]
Francis N, Vadivu G.
europepmc +1 more source
<title>Structure-artifact-free multilevel error diffusion algorithm</title>
Victor Ostromoukhov, Roger D. Hersch
openalex +2 more sources
Magnetic doping of the topological insulator Bi2Te3 with erbium adatoms induces out‐of‐plane magnetism and breaks time‐reversal symmetry, opening a Dirac gap and driving a Fermi surface transition from hexagonal to star‐of‐David geometry. Microscopy, spectroscopy, and magnetic dichroism reveal atomically controlled magnetic interactions that tailor the
Beatriz Muñiz Cano +18 more
wiley +1 more source
Multimodal magnetic resonance imaging synthesis via cross-modal feature fusion and hierarchical feature extraction. [PDF]
Guo H, Zhang H, Li M.
europepmc +1 more source
Tailored Xenogeneic‐Free Polymer Surface Promotes Dynamic Migration of Intestinal Stem Cells
This study introduces a PoLymer‐coated Ultra‐stable Surface (PLUS), a nitrogen plasma‐treated poly(ethyleneglycoldimethacrylate), as a stable xenogeneic‐free platform for intestinal stem cell culture. PLUS enhances cell attachment, supports actin‐driven migration, and retains functionality after 3 years of storage. Promoting cytoskeletal reorganization,
Seonghyeon Park +13 more
wiley +1 more source
Deep learning-based metal artifact reduction in CT for total knee arthroplasty. [PDF]
Lee J +7 more
europepmc +1 more source
Motion Estimation For Super-Resolution Based On Recognition Of Error Artifacts
Ana Stojković, Zoran Ivanovski
openalex +1 more source
Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang +8 more
wiley +1 more source

