Results 131 to 140 of about 219 (185)

Quantitative Detection of Entotic Cell‐In‐Cell Structures Using Deformable Segmentation and Deep Learning

Cytometry Part A, EarlyView.
ABSTRACT Cell‐in‐cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed in human cancer specimens. Once regarded as incidental findings, accumulating evidence has linked specific CIC subtypes, particularly entosis, to tumor progression and patient prognosis.
Maria V. Leyba‐Mesa, Mikołaj Biegański, Elijah Ray, Izabela Młynarczuk‐Bialy, Buket D. Barkana   +4 more
wiley   +1 more source

Wavenumber-Explicit hp-FEM Analysis for Maxwell's Equations with Impedance Boundary Conditions. [PDF]

Found Comut Math
Melenk JM, Sauter SA.
europepmc   +1 more source

Confined Hot Carrier Cooling Via Excited‐State Energy Gap Engineering in Graphyne Carbon Allotropes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The excited‐state energy gap (EEG), regulated by the concentration of sp‐hybridized carbon, provides an effective handle for tuning electron–phonon coupling behavior. This design enables long‐lived confinement of hot carriers near the top of the EEG with controllable energy levels.
Fulong Dai, Zhaozhao Xiong, Yingcong Liu, Feiyu Cheng, Haochun Sun, Zhenfa Zheng, Jin Zhao, Zhuojian Liang, Zhuo Kang, Yue Zhang   +9 more
wiley   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Precision neurodiversity: personalized brain network architecture as a window into cognitive variability. [PDF]

Front Hum Neurosci
Mohammad SI, Azzam ER, Vasudevan A, Ismail SM, Ayaz H, Prasad KDV.   +5 more
europepmc   +1 more source

Counterexamples in scale calculus. [PDF]

Proc Natl Acad Sci U S A, 2019
Filippenko B, Zhou Z, Wehrheim K.
europepmc   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

A Verified ODE Solver and the Lorenz Attractor. [PDF]

J Autom Reason, 2018
Immler F.
europepmc   +1 more source

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source

Does Geometric Algebra Provide a Loophole to Bell's Theorem? [PDF]

Entropy (Basel), 2019
Gill RD.
europepmc   +1 more source