Results 201 to 210 of about 33,111 (254)
Interpretable machine learning via symbolic classification of radiomic texture and morphological features for pediatric pneumonia detection from chest X-rays. [PDF]
Sofos F, Pana ZD, Drikakis D.
europepmc +1 more source
We address the inherently weak particle adhesion of conventional air filters by coating a dynamically crosslinked adhesive layer that delivers capillarity‐driven strong adhesion and particle absorption mediated by dynamic bond exchange. The resulting enhancement in particle adhesion enables efficient ultrafast (up to 20 m s−1) and omnidirectional ...
Junyong Park +11 more
wiley +1 more source
A spiking neural network inspired by neuroscience and psychology for Western mode- and key-conditioned music learning and composition. [PDF]
Liang Q, Zeng Y, Tang M.
europepmc +1 more source
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
A masked generative graph representation learning framework empowering precise spatial domain identification. [PDF]
Wang C +13 more
europepmc +1 more source
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Markov reads Puškin, again: A statistical journey into the poetic world of Evgenij Onegin. [PDF]
Sabatini AM.
europepmc +1 more source
Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko +10 more
wiley +1 more source
Neuro-symbolic reasoning engine for tax optimisation. [PDF]
Veeramani K, Joseph N A, M P.
europepmc +1 more source
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source

