Results 191 to 200 of about 21,772 (300)

Stable Protein‐Based G‐Quadruplex‐Derived Supramolecular Bioinks as Tunable ECM‐Mimetic Constructs Assembled by Combining Non‐Covalent and Covalent Strategies

Advanced Materials, EarlyView.
Harnessing the synergistic interplay of supramolecular self‐assembly, under macromolecular crowding conditions, and enzymatic‐mediated covalent crosslinking toward a stable protein‐based G‐quadruplex‐derived supramolecular bioink. This bioinspired strategy enables the biofabrication of complex and tunable ECM‐mimetic constructs, providing a platform ...
Vera Sousa, Rita Sobreiro‐Almeida, Bart W. L. van den Bersselaar, E. W. Meijer, Ghislaine Vantomme, João Borges, João F. Mano   +6 more
wiley   +1 more source

An empirical study of machine learning robustness and scalability for imbalanced tabular clinical data in emergency and critical care. [PDF]

Sci Rep
Brima Y, Atemkeng M.
europepmc   +1 more source

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

Multimodal machine learning for distinguishing pediatric multiple sclerosis from non-inflammatory conditions using optical coherence tomography. [PDF]

Front Neurol
Chen C, Soltanieh S, Rajapaksa S, Khalvati F, Yeh EA.   +4 more
europepmc   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

GBC-AST: a cluster-based oversampling method for heart failure prediction in imbalanced medical data sets. [PDF]

BMC Med Inform Decis Mak
Shahee SA.
europepmc   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

Post-quantum cognitive zero trust architecture for healthcare IoT devices. [PDF]

PLoS One
Hussain H, Mishra S, Alshenaifi R.
europepmc   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

Advanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang, Kun‐Hao Yu, Ji Yoon Bae, Yunchan Lee, Dorit Aviv, Shu Yang   +5 more
wiley   +1 more source

Intelligent system for portfolio optimization for novel volatility forecasting using machine learning. [PDF]

Sci Rep
Biswas T, Dey A, Mandal G, Ghosh N.
europepmc   +1 more source