Results 131 to 140 of about 584,308 (293)
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
This research is a case study of Public Accounting Firm management behavior assessment in operational practices and management behavior analysis especially for audit practices implementation of hierarchical review system.
Akie Rusaktiva Rustam
doaj
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
The value of clinical audit to improve cataract quality
One of the easiest ways to start improving quality in a hospital is through clinical audit. Clinical audit is a quality improvement process that seeks to improve patient care and outcomes. It does this through a systematic process of review or evaluation
Robert Lindfield
doaj
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Auditing with Data and Analytics: External Reviewer Perceptions of Audit Quality and Effort
Scott A. Emett +3 more
openaire +2 more sources
Auditor Tenure, Audit Firm Rotation and Audit Quality: A Literature Review [PDF]
Hamza K. Qawqzeh +5 more
openaire +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
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Audit Quality Review Within Quality Assurance And Improvement Programs (QAIP): A Scoping Review
This scoping review highlights the importance of Quality Assurance and Improvement Programs (QAIP) in enhancing the quality of internal audit functions. It emphasizes the need for effective QAIP implementation to ensure that internal audits adhere to professional standards and provide significant value to organizations.
Yudhanta Sambharakreshna +2 more
openaire +2 more sources

