Structural Entanglement from Interaction-Induced Fixed Points. [PDF]
Gunji YP, Khrennikov A.
europepmc +1 more source
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti +8 more
wiley +1 more source
Collective Variable-Guided Engineering of the Free-Energy Surface of a Small Peptide. [PDF]
Medaparambath M, Zhilkin A, Mendels D.
europepmc +1 more source
MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification
We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson +4 more
wiley +1 more source
When seasonal structure dominates: rethinking causal attribution in environmental epidemiology. [PDF]
Häggström Gunfridsson E.
europepmc +1 more source
Testing exclusion restrictions and additive separability in sample selection models
M. Huber, Giovanni Mellace
semanticscholar +1 more source
Vertical NAND Flash Memory‐Based Bayesian Neural Networks With Intrinsic Gaussian Weight Sampling
Commercial vertical NAND flash memory supports Bayesian neural networks by using paired cells to produce bell‐shaped weight distributions. Read voltage controls their spread without additional memory cells or changes to the array structure. Simulations based on device measurements demonstrate improved uncertainty estimation and accuracy gains of up to ...
Sung‐Ho Park +8 more
wiley +1 more source
Radiomic Characterization of Adrenal Incidentalomas on NECT: Retrospective Exploratory Study and Systematic Review. [PDF]
Frisina P +3 more
europepmc +1 more source
AI Dependence as a Longitudinal Governance Problem
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley +1 more source
An in silico evaluation of signal and separability properties of k-edge materials in spectral CT. [PDF]
Rajagopal JR +5 more
europepmc +1 more source

