Results 81 to 90 of about 68,169 (294)
IEEE AccessRetrieval-Augmented Generation (RAG) is a promising solution that can enhance the capabilities of large language model (LLM) applications in critical domains, including legal technology, by retrieving knowledge from external databases.
Mahd Hindi +3 more
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Interleukin‐39 is a Prognostic Biomarker and Therapy Target for Sepsis
Advanced Science, EarlyView.Sepsis triggers a significant increase in IL‐39 production, with circulating levels markedly elevated and positively correlated with disease severity and poor clinical prognosis in sepsis patients. Mechanistically, macrophage‐derived IL‐39 activates the GP130 signaling pathway via a ligand‐receptor interaction, thereby fueling the pro‐inflammatory ...
Feng‐zhi Zhang +9 more
wiley +1 more source
Brazilian Journal of Infectious DiseasesIntroduction/Objectives: Antimicrobial resistance (AMR) is a global health emergency, often fueled by inappropriate antibiotic use. In this context, this study investigates the potential of Artificial Intelligence (AI) to improve clinical decision-making
Luis Felipe Silva Visconde +1 more
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PFE-SELF-RAG: Balancing self-RAG evaluation metrics via Pareto efficiency [PDF]
Journal of Mahani Mathematical ResearchSelf-RAG enhances Retrieval-Augmented Generation (RAG) by enabling Large Language Models (LLMs) to dynamically retrieve external knowledge and self-evaluate outputs.
Fatemeh Hosseini, Mahdi Eftekhari
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Advanced Science, EarlyView.MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge +13 more
wiley +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
Advanced Energy and Sustainability Research, EarlyView.This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Step‐Associated Cu‐Ceria Interfaces Enhance Catalytic Activity and Selectivity
Angewandte Chemie, EarlyView.The catalytic activity and selectivity of supported Cu nanoparticles depends on their interfacial environments, with Cu nanoparticles at step‐associated environments converting CO2 to methanol much faster than those on terrace facets, indicating that step sites create more active metal–oxide interfaces.
Shuxuan Feng +12 more
wiley +2 more sources
Agribusiness, EarlyView.ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann +4 more
wiley +1 more source
A Multimodal Retrieval-Augmented Generation (RAG) and Transformer Architecture for Structured Web and Image Analysis [PDF]
Ovidius University Annals: Economic Sciences SeriesThis study proposes a multimodal framework for structuring and analyzing unstructured web and image data in the fashion and e-commerce domain. The primary objective is to transform heterogeneous online content, textual articles and fashion imagery into
Adela Bâra +2 more
doaj
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source