Results 111 to 120 of about 2,565,964 (296)
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
Variational inference for sparse poisson regression
We have utilized the non-conjugate Variational Bayesian (VB) method for the problem of the sparse Poisson regression model. To provide approximate conjugacy in the model, the likelihood is approximated by a quadratic function, yielding conjugacy between the approximation component and the Gaussian prior on the regression coefficient.
Mitra Kharabati +2 more
openaire +2 more sources
A universal hydrogel microparticle template with five DNA‐addressable domains decouples particle fabrication from barcode writing. Contact‐free multilaminar flow lithography produces >106 templates/h, and post‐fabrication domain‐selective hybridization converts one batch into large, user‐defined optical barcode libraries with robust decoding and re ...
Akihiro Eguchi +5 more
wiley +1 more source
RAINFALL MODELING USING THE GEOGRAPHICALLY WEIGHTED POISSON REGRESSION METHOD
Rainfall is an important parameter in understanding the climate and environment in the Malang Regency area. This research aims to model the distribution of rainfall in this region using the Geographically Weighted Poisson Regression (GWPR) method.
Atiek Iriany +2 more
doaj +1 more source
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English +9 more
wiley +1 more source
Undominated (and) perfect equilibria in Poisson games [PDF]
In games with population uncertainty some perfect equilibria are in dominated strategies.
González Pimienta, Carlos +1 more
core +1 more source
Predicting Football Match Results Using a Poisson Regression Model
Currently, several techniques based on probabilities and statistics, along with the rapid advancements in computational power, have deepened our understanding of a football match result, giving us the capability to estimate future matches’ results based ...
Konstantinos Loukas +3 more
doaj +1 more source
Regression Models for Count Data in R [PDF]
The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in the R system for statistical computing.
Simon Jackman +2 more
core
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang +5 more
wiley +1 more source
Traceability of Agri‐Food Products: The Key to Conscious Trade
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo +5 more
wiley +1 more source

