Results 151 to 160 of about 58,641 (308)

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng   +4 more
wiley   +1 more source

Private Label Price Rigidity during Holiday Periods Private Label Price Rigidity during Holiday Periods

open access: yes, 2020
Using weekly retail transaction scanner price data from a large U.S supermarket chain, we find significantly higher retail price rigidity for private label products than for nationally branded products during the Christmas and Thanksgiving holiday ...

core  

The Influence of Private Brand and National Brand on Brand Loyalty with Perceived Quality as an Intervening Variable on Tissue Products in Soloraya

open access: yesIndonesian Interdisciplinary Journal of Sharia Economics
This study examines the influence of private label and national brands on brand loyalty for Indomaret tissue products in the Soloraya region, using perceived quality as a mediating variable.
Putri Febriqa Khairun Nisa’   +1 more
doaj  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Assessing the Competitive Interaction Between Private Labels and National Brands

open access: yes
In contrast to single-equation cross-sectional studies of private label share, developing a complete understanding of the nature of the competitive interaction between national brands and private labels requires an understanding of the determinants of ...
Putsis, William P., Jr.   +2 more
core  

COMPARISON OF PERCEPTION OF PRIVATE LABELS BETWEEN STUDENTS STUDYING IN THEIR PLACE OF RESIDENCE AND STUDENTS STUDYING OUTSIDE THEIR PLACE OF RESIDENCE

open access: yesEkonomski Vjesnik, 2015
In order to be more successful and achieve higher profits, supermarket chains have recognized and used the possibility of creating their own brands. Creating private labels, modeled after manufacturer’s products, enables differentiation from competitors,
Zdravko Tolušić   +2 more
doaj  

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

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

open access: yesAI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source

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