Results 141 to 150 of about 106,077 (229)
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
Mendelian randomization analysis of immune cell characteristics and genetic variants in cervical cancer risk: a genome-wide association study. [PDF]
Zhang Y, Ji L, Yang S.
europepmc +1 more source
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu+8 more
wiley +1 more source
Parametric Design of Continuum Robots Using Interlocking Ball Joints
Herein, a parametric design methodology is introduced for producing a wide variety of modular ball joint‐based continuum robots. It is demonstrate by designing a magnetically actuated continuum robot for cardiac ablations. The methodology is released as an open‐source computer‐assisted design extension that automatically designs continuum robots based ...
Alexandre Mesot+5 more
wiley +1 more source
Evaluation of ocular surface microbiota in children with blepharoconjunctivitis. [PDF]
Çakır B+4 more
europepmc +1 more source
This study presents a tensegrity joint with pneumatic artificial muscles integrated directly into its tensile network. Inspired by tensegrity spine structures, the joint's topology is developed and further optimized through an evolutionary algorithm, taking into account fabrication constraints and target applications.
Jan Petrš+5 more
wiley +1 more source
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi+5 more
wiley +1 more source
Lesion-Induced Changes to the Network Controllability of the Right Pars Triangularis in Aphasia. [PDF]
Stoll H+5 more
europepmc +1 more source
AP2M1 Is a Candidate Gene for Microcephaly and Intellectual Disability in 3q27.1 Deletions
ABSTRACT Deletions of the 3q26.33q27.2 region appear to correlate with a distinct phenotype, although there are few reported cases. Here, we present seven previously unreported individuals carrying de novo 3q27 deletions (under 5 Mb), which include the AP2M1 (adaptor‐related protein complex 2, mu‐1 subunit) gene and summarize data from 12 previously ...
Russell Gear+16 more
wiley +1 more source
Integrated Patient Digital and Biomimetic Twins for Precision Medicine: A Perspective. [PDF]
Miedel MT+6 more
europepmc +1 more source