The Influence of Store Image, Service Quality, Private Label Brand Image, Perceived Risk, and Price Consciousness on Purchase Intention [PDF]
, 2017 Meta Andriani
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Advanced 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
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Criteria and factors for the choice of private label brands by customers of retail chains [PDF]
, 2020 Karolina Muszyńska
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A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced 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
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Impact of Private Label Brands of Milk on Competition in Fluid Milk Markets
, 1974 Ruth Beck, R.G. Alvis
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How to Create Brand Love in Private Label: The Role of Satisfaction as Intervening Variable [PDF]
, 2016 Aditya Pandowo
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Large Language Model‐Based Chatbots in Higher Education
Advanced 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
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THE EFFECT OF BRAND ELEMENT CRITERIA AND BRAND IMAGE OF PRIVATE LABEL PRODUCTS ON STORE IMAGE AND ITS IMPLICATIONS ON CUSTOMER LOYALTY [PDF]
, 2021 Mohammad Annas, Eko Sigit Pramudito
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Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Retailers and Private Label Brands: Current Knowledge and Directions for Future Research [PDF]
, 2009 James Mark Mayer
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