Moment-type estimators for the Dirichlet and the multivariate gamma distributions
Ioannis Oikonomidis, Samis Trevezas
openalex +1 more source
Topic Modeling of Fatty Acid Studies: Evaluating Environmental Changes in Freshwater Ecosystems
ABSTRACT Fatty acids (FAs) are biochemical molecules with vital structural and metabolic functions in all living organisms. Over the last decades, FA analysis in ecological studies has garnered significant attention due to its diverse applicability, such as taxonomic support for species identification, investigations on trophic interactions, and ...
A. C. Campos, B. Gücker, I. G. Boëchat
wiley +1 more source
Random Item Response Data Generation Using a Limited-Information Approach: Applications to Assessing Model Complexity. [PDF]
Suh YS, Bonifay W, Cai L.
europepmc +1 more source
Opening the Black Box of EU Digital Sovereignty: A Macro‐Level Analysis of the Concept's Development
ABSTRACT Digital sovereignty has emerged as a central organizing principle in European Union governance, yet systematic understanding of its conceptual evolution remains limited. This article provides the first macro‐level analysis of how digital sovereignty evolves across institutional and academic domains.
Aleksei Turobov +2 more
wiley +1 more source
Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review. [PDF]
Topaloğlu D, Polat O.
europepmc +1 more source
Three‐Dimensional Simulation of Crack Initiation in ice Shelves at Pinning Points
ABSTRACT Ice shelves are large ice masses floating on the ocean that are still connected to the inland ice of a glacier. Due to high elevations in the bathymetry, the ice shelf can be partially grounded. These areas are called ice rises that act as pinning points.
Rabea Sondershaus +2 more
wiley +1 more source
Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation. [PDF]
Deveney T +4 more
europepmc +1 more source
Physics‐Based Machine Learning for Modeling Cyclic Damage Evolution
ABSTRACT Accurate modeling of cyclic damage evolution is essential for predicting the long‐term performance and durability of engineering materials and structures. Traditional simulation‐based approaches, while physically rigorous, are computationally expensive, especially under complex loading histories.
Elsayed S. Elsayed +2 more
wiley +1 more source
Advanced topic modeling with large language models: analyzing social media content from dementia caregivers. [PDF]
He W +10 more
europepmc +1 more source
Single‐cell mitochondrial lineage tracing: Opportunities and challenges
Abstract Lineage tracing using endogenous mitochondrial DNA (mtDNA) variants holds great promise for reconstructing the lineage histories of individual cells, with broad applications in oncology, developmental biology, and regenerative medicine.
Siqi Li, Kun Wang, Xin Wang, Zheng Hu
wiley +1 more source

