Results 121 to 130 of about 3,227,651 (213)
From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion
ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley +1 more source
A conversation with James V. Zidek
Abstract This article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges.
Christian Genest, Nancy E. Heckman
wiley +1 more source
From Executor to Orchestrator: The Pharmacology Scientist in the Age of Agentic AI
Drug development productivity has not improved despite five decades of computational advancement, with the probability that a compound entering Phase I achieving regulatory approval remaining near 10%. Each automation wave increased throughput while leaving the interpretive bottleneck intact; scientists continued to formulate questions, evaluate ...
Michael McCoy, Matthew McCoy
wiley +1 more source
An Iterative Self-Correcting Agentic RAG System
Traditional Retrieval-Augmented Generation (RAG) systems enhance Large Language Models (LLMs) with external knowledge but are limited by static, single-pass retrieval, making them less effective for complex, multi-step reasoning.
Vinay Tiparadi +4 more
doaj
Study addresses a critical gap in Optical Character Recognition (OCR) for cursive scripts by proposing a novel hybrid architecture that integrates convolutional neural networks with a Feature Shift Attention mechanism to jointly model fine‐grained diacritical features and long‐range ligature dependencies.
Shahzad Ashraf +3 more
wiley +1 more source
Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren +6 more
wiley +1 more source
ABSTRACT Background Preclinical spine research is limited by heterogeneous experimental reporting, fragmented documentation, and barriers to reproducibility and translational alignment. Large language models (LLMs) and related artificial intelligence (AI) technologies may support semantic interpretation, structured data extraction, and reasoning over ...
Siegmund Lang +5 more
wiley +1 more source
VLM-guided retrieval augmented generation (RAG) for robot action prediction. [PDF]
Kuster B +5 more
europepmc +1 more source
Amino Acid Metabolism in Health and Disease
This graphical abstract delineates the multifaceted role of amino acid metabolism in health and disease. It illustrates how amino acids sustain physiological homeostasis across the liver, kidney, brain, heart, intestine, muscle, skeleton, and immune system.
Zhiwei Su +7 more
wiley +1 more source
Designing metaverse interaction systems for the Turkish language enhanced by fine-tuning and retrieval-augmented generation (RAG). [PDF]
Özkal İ, Başçiftçi F.
europepmc +1 more source

