Results 121 to 130 of about 89,585 (267)
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
LRRC4 suppresses GBM by regulating AP2A1‐containing Golgi‐derived clathrin‐coated vesicles. Low LRRC4 allows cytoplasmic AP2A1 to maintain mitochondrial fission‐fusion, MICOS integrity, and OXPHOS, promoting proliferation and invasion. High LRRC4 redirects AP2A1‐containing Golgi‐derived clathrin‐coated vesicles to mitochondria, disrupts MICOS, enhances
Yang Li +5 more
wiley +1 more source
Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm. [PDF]
Tovissodé CF, Diop A, Glèlè Kakaï R.
europepmc +1 more source
On the Convergence of the EM Algorithm
SUMMARY An example is given showing that a sequence generated by a GEM algorthm need not converge under the conditions stated in Dempster et al., (1977). Two general convergence results are presented which suggest that in practice a GEM sequence will converge to a compact connected set of local maxima of the likelihood function; this ...
openaire +2 more sources
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
A Note on the Cowles-EM Algorithm for Bayesian Ordinal Probit Models
We describe a novel procedure for Bayesian cutpoint simulation in ordered probit models. Our approach capitalizes upon a series of auxiliary binary probit models implied by the ordinal probit to craft tailored proposal distributions for Metropolis ...
Justin L. Tobias
doaj +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
The EM Algorithm in Information Geometry
The purpose of this thesis is to convey the basic concepts of information geometry and its applications to non-specialists and those in applied fields, assuming only a first-year undergraduate background in calculus, linear algebra, and probability theory / statistics.
openaire +2 more sources
Charge‐Transfer‐Mediated Boron Magneto‐Ionics: Towards Voltage‐Driven Multi‐Ion Transport
This study demonstrates voltage‐driven multi‐ion transport in FeBO systems, revealing simultaneous motion of B, Fe, and O ions enabled by charge‐transfer effects. By tuning oxidation states through oxygen incorporation, we achieve a transition from electrostatic‐like to electrochemical magneto‐ionic behavior. The findings establish boron magneto‐ionics,
Zheng Ma +15 more
wiley +1 more source
A microfluidic device with monolithically integrated nanostructures enables high‐throughput wounding of the cell membrane and nuclear envelope. The spatial distribution of charged multivesicular body protein 4B (CHMP4B) within the cell is mapped before and after wounding, showing involvement in repair of both the cell membrane and nuclear envelope ...
Apresio K. Fajrial +5 more
wiley +1 more source

