CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas +3 more
wiley +1 more source
Interactive segmentation of membrane and membrane‐mimic densities in cryo‐EM maps
SURFER performs automated segmentation of contextual membrane and membrane‐mimic density in cryo‐EM maps to enable robust separation of macromolecular signal from surrounding detergent or lipid–membrane features. It is conveniently distributed as a plugin for UCSF ChimeraX, allowing interactive application within standard map‐visualization workflows ...
Alok Bharadwaj +2 more
wiley +1 more source
High-Contrast Random Composites: Homogenisation Framework and Spectral Convergence. [PDF]
Cherdantsev M +2 more
europepmc +1 more source
We present a fully automated, unattended cryo‐EM pipeline that serves as an on‐the‐fly diagnostic tool, enabling rapid data‐quality assessment and informed decision‐making to maximize data‐collection efficiency.Single‐particle analysis (SPA) by cryogenic electron microscopy (cryo‐EM) has become a cornerstone of structural biology; yet, the workflow ...
Daniel Marchán Torres +14 more
wiley +1 more source
Evaluating the robustness of slide-level AI predictions on out-of-focus whole slide images: A retrospective observational study. [PDF]
Kim HH, Ko YS, Jeong WC, Yun S, Kim K.
europepmc +1 more source
Coccinellidae (Coleoptera), Miridae (Hemiptera), Hemerobiidae (Neuroptera), Pentatomidae (Hemiptera), Anystidae (Acari), Erythraeidae (Acari) and spiders (Araneidae, Oxyopidae and Salticidae) fed on the invasive paropsine leaf beetles in Marlborough, New Zealand.
Souradji I. Bachirou +2 more
wiley +1 more source
PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]
Xu X, Wang C, Wei GW, Chen J.
europepmc +1 more source
Numerical Investigation of a Diffusive SIR Model: Focus on Positivity Preservation
ABSTRACT In this paper, we consider a system of semilinear partial differential equations (PDEs) representing a spatially extended SIR epidemic model. A brief analytical investigation of the well‐posedness and positivity of the solutions is provided in the appendix, while the main focus is on the numerical treatment of the model.
Rahele Mosleh +2 more
wiley +1 more source
Pushing the limits of cardiac MRI: deep-learning based real-time cine imaging in free breathing vs breath hold. [PDF]
Klemenz AC +9 more
europepmc +1 more source
Dirac-equation signal processing: Physics boosts topological machine learning. [PDF]
Wang R, Tian Y, Liò P, Bianconi G.
europepmc +1 more source

