Results 131 to 140 of about 13,962 (305)
Nudging: een opinieverkenning onder gezondheidsprofessionals
Het zingt steeds meer rond onder beleidsmakers en gezondheidsprofessionals: Nudging, een strategie voor gedragsbeïnvloeding waarbij gebruik wordt gemaakt van de impulsieve, automatische processen die mensen gebruiken om keuzes te maken.
de Vet, E.W.M.L. +13 more
core +1 more source
Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son +4 more
wiley +1 more source
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
The present and future aspects of Digital Nudging and Digital Persuasion
This paper describes the current and future aspects of Digital Nudging and Digital Persuasion (DNDP). To find this, a case study approach has been followed, such as, we organized a workshop event aimed at supporting citizens and stakeholders in applying ...
Tripathi, Ashok +3 more
core
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Geostationary atmospheric motion vectors (e.g., FY4A AMVs) are routine mid-upper atmospheric observations used in numerical weather prediction (NWP) models, yet their complex spatiotemporal errors and assimilation limitations, i.e., high-temporal/coarse ...
Yakai Guo +5 more
doaj +1 more source
Equilibrium Propagation for Dissipative Dynamics
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley +1 more source

