Results 181 to 190 of about 147,716 (285)
Riemannian L-systems: modelling growing forms in curved spaces. [PDF]
Godin C, Boudon F.
europepmc +1 more source
Self-organized and directed branching results in optimal coverage in developing dermal lymphatic networks. [PDF]
Uçar MC +6 more
europepmc +1 more source
Dynamic decellularized hydrogels are prepared using bovine decellularized small intestine submucosa (SIS) norbornene (dSIS‐NB). Bovine dSIS contained significant amounts of disulfide‐rich fibrillin‐I, enabling ‘self‐clickable’ thiol‐norbornene gelation and spatiotemporal tuning of hydrogel physicochemical properties.
Van Thuy Duong +4 more
wiley +1 more source
Control of Overfitting with Physics. [PDF]
Kozyrev SV, Lopatin IA, Pechen AN.
europepmc +1 more source
Systemic Alterations of Cancer Cells and Their Boost by Polyploidization: Unicellular Attractor (UCA) Model. [PDF]
Vinogradov AE, Anatskaya OV.
europepmc +1 more source
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source
Random Walk on T-Fractal with Stochastic Resetting. [PDF]
Sun X, Li A, Zhu S, Zhu F.
europepmc +1 more source
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li +5 more
wiley +1 more source
PHLOWER leverages single-cell multimodal data to infer complex, multi-branching cell differentiation trajectories. [PDF]
Cheng M +11 more
europepmc +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source

