Results 171 to 180 of about 53,148 (301)
Classification of decomposed neural data in memory networks and LLM-based stimuli processing. [PDF]
Shahzaib M +4 more
europepmc +1 more source
Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su +10 more
wiley +1 more source
A comprehensive CFD lifecycle dataset for marine vessel hydrodynamics. [PDF]
Wang S +8 more
europepmc +1 more source
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
A Library for Pattern-based Sparse Matrix Vector Multiply
Pattern-based Representation (PBR) is a novel approach to improving the performance of Sparse Matrix-Vector Multiply (SMVM) numerical kernels. Motivated by our observation that many matrices can be divided into blocks that share a small number of ...
Back, Godmar +2 more
core
Time-resolved XPCS analysis across broad time-scales using multi-tau two-time correlations. [PDF]
Brugnara F +13 more
europepmc +1 more source
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Factored sparse inverse covariance matrices
Most HMM-based speech recognition systems use Gaussian mixtures as observation probability density functions. An important goal in all such systems is to improve parsimony. One method is to adjust the type of covariance matrices used.
Jeff A. Bilmes
core
Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA. [PDF]
Kang J, Stephens M.
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source

