Projected entangled pair states for lattice gauge theories with dynamical fermions. [PDF]
Kelman A, Borla U, Emonts P, Zohar E.
europepmc +1 more source
The Intelligent Evolution of Radar Signal Deinterleaving: A Systematic Review from Foundational Algorithms to Cognitive AI Frontiers. [PDF]
Qu Z, Zhang J, Zhou Y, Ni L.
europepmc +1 more source
Grammar error diagnosis using graph convolutional networks with knowledge graph integration. [PDF]
Zhang J, Ma Y.
europepmc +1 more source
MOFs as New Catalytic Platform for Covalent Adaptable Networks: Catalysis Meets Reinforcement
A novel heterogeneous catalytic platform for covalent adaptable networks (CANs) is introduced by immobilizing bases of low molecular weight on metal‐organic frameworks (MOFs). The obtained catalyst UiO‐TBD benefits from the high loading capacity of the MOF and demonstrates a higher thermal stability relative to free TBD.
Simon Renner +9 more
wiley +1 more source
BrainConnect: processing brain connectivity and spatial transcriptomics data for integrative analysis. [PDF]
Sang C, Peng C.
europepmc +1 more source
ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang +6 more
wiley +1 more source
Multi-Strategy Improved Cantaloupe Pest Detection Algorithm. [PDF]
Zou H, Weng Z, Zhao M, Jiang X.
europepmc +1 more source
Geometry Analysis of Two Photon Polymerized Microneedles—An Experimental and Simulated Approach
This research investigates the mechanical stability of hollow, two‐photon‐polymerized microneedles for drug delivery. In an experimental setup, a steel stamp gradually compresses 1000 μm‐tall microneedles while recording their force–deformation response.
Cordelia F. Wittemann +4 more
wiley +1 more source
Robust Deep Active Learning via Distance-Measured Data Mixing and Adversarial Training. [PDF]
Song S, Wang X, Dong S, Jiang J.
europepmc +1 more source
Procrustean pseudo‐landmark methods in Python to measure massive quantities of leaf shape data
Abstract Premise When examining leaf shapes that are different from one another, it can be difficult to compare both the overall leaf shape and points along the leaf margin in biologically and statistically meaningful ways. Methods To address this problem, we present a simple and user‐friendly leaf shape analysis method in Jupyter Notebook and Python ...
Asia Hightower +22 more
wiley +1 more source

