Results 141 to 150 of about 9,188 (209)
Vertex models capturing subcellular scales in epithelial tissues. [PDF]
Lange Z, Matthäus F, Qiu M.
europepmc +1 more source
Polarization‐Dependent 3D Holography Generated by Inverse Design Nanoprinting Metasurface
A novel polarization‐dependent 3D holography is proposed by introducing polarization as an additional freedom, enabling enhanced depth selectivity and greater control over holographic reconstruction. The efforts perfectly combine the polarization and 3D holography display into ADAM gradient descent algorithm, the application of nanoprinting further ...
Lingxing Xiong +7 more
wiley +1 more source
The legacy and evolvability of Pere Alberch's ideas. [PDF]
Nuño de la Rosa L, Müller GB.
europepmc +1 more source
Radiation induces polyploid giant cancer cells (PGCCs) that regenerate tumors through virus‐like budding. This process depends on a SNCG–FLOT2–CHMP4B signaling axis functioning in lipid raft microdomains. Disrupting these domains using statins or anti‐PCSK9 antibodies blocks PGCC budding, suppresses tumor repopulation, and enhances radiotherapy ...
Zheng Deng +20 more
wiley +1 more source
Null models for comparing information decomposition across complex systems. [PDF]
Liardi A +5 more
europepmc +1 more source
Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update
This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily ...
Vianna F. Jafari +10 more
wiley +1 more source
Review on Cellular Automata for Microstructure Simulation of Metallic Materials. [PDF]
Zhi Y, Jiang Y, Ke D, Hu X, Liu X.
europepmc +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
Identification of brain-like complex information architectures in embryonic tissue of <i>Xenopus laevis</i> organoids. [PDF]
Varley TF +5 more
europepmc +1 more source

