Results 151 to 160 of about 5,906 (296)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Quantitative easing - A Policy of Interest Rates Close to Zero
This diploma thesis describes the Quantitative easing as an unconvetional tool of the monetary policy. In the first chapter of this thesis there is theoretical analysis of the zero lower bound and also of specific phenomenon that might occur in this ...
Celer, Martin
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
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Monetary policy of quantitative easing: causes, process and risks
The bachelor thesis is devoted to monetary policy of quantitative easing, to an unconventional way how central banks are trying to fight against the threat of deflation and support economic growth.
LEXA, David
core
Crisis-driven innovation in the Republic of Korea's in vitro diagnostics industry: a pandemic case study. [PDF]
Kim M, Jeong H, Shin K.
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Improving access to direct acting antivirals via a multimodal integrated care program in an addiction medicine clinic. [PDF]
Zandvakili A +11 more
europepmc +1 more source
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley +1 more source
From Simulation to the Clinical Area: A Mixed-Methods Study Comparing Skills Laboratory Proficiency and Clinical Performance (RLE) Among Nursing Students in a Philippine University. [PDF]
Macaraeg NO +5 more
europepmc +1 more source

