Results 141 to 150 of about 133,289 (309)
Annual report, fiscal year 1987 : follow-up report on audit recommendations.
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; Fiscal year ends June 30.Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core
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
application/pdf; "December 2015."; "A Report to the Legislative Post Audit Committee" ...
CliftonLarsonAllen, L.L.P.
core
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
Commission on Veterans' Affairs [1999 audit]
"A report to the Legislative Post Audit Committee."; "May 1999."; "Covering fiscal year 1998"--P.
Tongier, Randy.
core
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
Annual report, fiscal year 1984 : follow-up on audit recommendations.
"A Report to the Kansas Legislature by the Legislative Post Audit Committee, state of Kansas."; "August 27, 1984."; Fiscal year ends June 30.Constitutes the annual report of the ...
Kansas. Legislative Post Audit Committee.
core
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

