Results 81 to 90 of about 33,677 (303)

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

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

Ownership concentration and audit fees: do auditors matter most when investors are protected least? [PDF]

open access: yes
Minority expropriation could result when controlling shareholders can expropriate minority shareholders and profit from private benefits of control.
Cédric Lesage, Ben Ali Chiraz
core  

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Iranian Angle to Non-Audit Services: Some Empirical Evidence [PDF]

open access: yes
The purpose of this paper is to show different Iranian accountants’ as well shareholders’ ideas on Non-audit services and their effects on audit independence in Iran.
Mehdi Moradi, Mahdi Salehi
core  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang   +9 more
wiley   +1 more source

Evaluation of local coordinated comprehensive planning

open access: yes, 2002
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes."December 2002."Mode of access: Internet from the Oregon ...

core  

The Importance of Audit Firm Characteristics and the Drivers of Auditor Change in UK Listed Companies [PDF]

open access: yes, 1995
This paper explores the importance of audit firm characteristics and the factors motivating auditor change based on questionnaire responses from 210 listed UK companies (a response rate of 70%).
Fearnley, Stella   +3 more
core  

Joint Audit – A Means to Reduce Bias and Enhance Scepticism in Financial Statement Audits?

open access: yesSSRN Electronic Journal, 2018
This paper proposes a contribution of joint audit to audit quality through the mitigation of cognitive bias during the audit process, a potential largely overlooked in the prior literature. With reference to social and psychological factors impacting the quality of auditor hypothesis formation and the search for corroborating evidence, we contend that ...
Marnet, Oliver   +2 more
openaire   +3 more sources

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

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