Results 131 to 140 of about 794,180 (339)

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

DETERMINING THE FACTORS AFFECTING THE AUDIT QUALITY OF VIETNAMESE-LISTED COMPANIES

open access: yesФінансово-кредитна діяльність: проблеми теорії та практики
The development of the financial market requires transparency and honesty of financial information. Information in financial reporting will directly or indirectly affect the rights or decisions of investors.
Thi Phuong Dung Ha   +3 more
doaj   +1 more source

Similarities and Differences Between Internal Auditing, Internal Public Auditing and Other Services [PDF]

open access: yes
The internal auditing is an independent, objective assurance and consulting activity designed to add value and improve an organization's operations. It helps an organization accomplish its objectives by bringing a systematic, disciplined approach to ...
Gheorghe SUCIU
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Truth-telling and the Role of Limited Liability in Costly State Verification Loan Contracts [PDF]

open access: yes
Recent literature has considered the form of loan contract between two or more risk neutral parties where the revelation principle is inappropriate due to the lack of commitment to an auditing policy by the lender.
G Garino, Simmons, Peter
core  

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

WHAT INFLUENCES STUDENTS' EXPECTATIONS IN WHAT REGARDS GRADES? [PDF]

open access: yesAnnals of the University of Oradea: Economic Science, 2013
After a period of studying a certain subject, students form an opinion about it and begin having certain expectations. These expectations and the degree in which, in the end, they fulfil, contribute to the reputation of the university.
Mare Codruta   +3 more
doaj  

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 more
wiley   +1 more source

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