Results 71 to 80 of about 5,226,497 (252)
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
FIGHTING MONEY LAUNDERING AND CORRUPTION: FINANCIAL AND ECONOMIC ASPECTS
The Russian Federation has a consistent policy to combat money laundering and corruption. The fight against these negative phenomena requires further improvement of the regulatory, supervisory and monitoring and law enforcement efforts as well as focused
A. I. Selivanov
doaj
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
The current challenges caused by military actions, economic instability and digital transformation make it difficult to attract investment in domestic enterprises.
Kateryna Oriekhova +3 more
doaj +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Financial literacy and retirement planning in Germany [PDF]
We examine financial literacy in Germany using data from the SAVE survey. We find that knowledge of basic financial concepts is lacking among women, the less educated, and those living in East Germany.
Lusardi, Annamaria, Bucher-Koenen, Tabea
core +2 more sources
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
The international retirement savings dilemma: Insights from U.S. IRAs with global relevance
This study evaluates the long-term financial outcomes of Roth and traditional IRAs, with their different tax advantages. Global applicability to countries with similar types of retirement plans is emphasized.
Brian E. Porter
doaj +1 more source

