Results 181 to 190 of about 16,145 (263)
Integration of Reconfigurable p‐Bit and 1R Crossbar Array for Memristive Probabilistic Computing
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Keunho Soh +7 more
wiley +1 more source
HfO2‐based ferroelectrics exhibit wake‐up and fatigue behaviors during electrical cycling, significantly affecting device endurance and reliability. These phenomena are governed by defect dynamics, including oxygen vacancy redistribution and charge trapping.
Hongseok Kim +6 more
wiley +1 more source
GFD analysis for BRE zeolite graph through reverse degree and reverse neighborhood degree based topological descriptors. [PDF]
Yogalakshmi K +4 more
europepmc +1 more source
Super‐multiplexed Label‐free Raman Imaging (SLRI) enables 2D/3D metabolic mapping of intact Drosophila testes. Moving beyond descriptive morphology, it establishes a multidimensional tool for tissue metabolic remodeling, and offers a generalizable platform for complex tissue analysis, with implications extending to development and disease. ABSTRACT The
Jiaxin Li +23 more
wiley +1 more source
Deep Learning Prediction of O‐Glycopeptide Tandem Mass Spectra Enhances O‐Glycoproteomics
DeepGPO integrates Transformer and graph neural networks with tailored training strategies, including data augmentation, loss re‐weighting, and pre‐training, to achieve high‐quality O‐glycopeptide MS/MS spectra prediction. The predicted MS/MS spectra are used to localize O‐glycosylation sites from HCD MS/MS data, enhancing O‐glycoproteomics analysis ...
Yu Zong, Yuxin Wang, Liang Qiao
wiley +1 more source
Graph-Enhanced Expectation Maximization for Emission Tomography. [PDF]
Kasai R, Otsuka H.
europepmc +1 more source
Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source

