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Complex quantized minimum error entropy with fiducial points: theory and application in model regression.
Neural Netw
February 2025
College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
Minimum error entropy with fiducial points (MEEF) has gained significant attention due to its excellent performance in mitigating the adverse effects of non-Gaussian noise in the fields of machine learning and signal processing. However, the original MEEF algorithm suffers from high computational complexity due to the double summation of error samples. The quantized MEEF (QMEEF), proposed by Zheng et al.
View Article and Find Full Text PDFThe Importance of Integrating Herbal Medicine into Dental Education: A Cross-Sectional Study of Dental Students' Knowledge and Attitudes.
J Dent Educ
March 2025
Department of Oral Medicine, Faculty of Dentistry, Damascus University, Damascus, Syrian Arab Republic.
Background: Herbal medicine has a long history of traditional use, but its integration into modern dentistry faces barriers like insufficient evidence and knowledge.
Objective: This is the first study of its kind in Syria that aimed to assess the knowledge and perspectives of future dentists regarding the use of medicinal plants in dental practice, their benefits, and their side effects.
Methods: A cross-sectional questionnaire-based study was conducted among 323 Syrian dental students to evaluate their awareness, attitudes, knowledge sources, and experiences with herbal medicine.
Adapting "Listen N Talk": Developing a Personalized Communication App with Culturally and Linguistically Diverse Residents in Aged Care.
Clin Interv Aging
March 2025
The MARCS Institute for Brain, Behaviour & Development, Western Sydney University, Westmead, NSW, 2145, Australia.
Background: Rich communication between staff and residents in aged care settings is essential. Digital communication devices used to support communication in aged care settings are often not well targeted to individual needs and contexts. In this pilot study, we investigate the adaptation of a phrase-based language learning app, to support communication between carestaff and residents in a residential aged care setting in Western Sydney, Australia.
View Article and Find Full Text PDFBitcoin research with a transaction graph dataset.
Sci Data
March 2025
LIX, Ecole Polytechnique, Palaiseau, 91120, France.
Bitcoin, introduced in 2008 by Satoshi Nakamoto, revolutionized the digital economy by enabling decentralized value storage and transfer, eliminating the need for a central authority. This paper presents a large-scale, temporally annotated graph dataset representing Bitcoin transactions, designed to advance research in blockchain analytics and beyond. The dataset comprises 252 million nodes and 785 million edges, with each node and edge timestamped for temporal analysis.
View Article and Find Full Text PDFMultitask Deep Learning Models of Combined Industrial Absorption, Distribution, Metabolism, and Excretion Datasets to Improve Generalization.
Mol Pharm
March 2025
Drug Metabolism & Pharmacokinetics (DMPK), Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States.
The optimization of absorption, distribution, metabolism, and excretion (ADME) profiles of compounds is critical to the drug discovery process. As such, machine learning (ML) models for ADME are widely used for prioritizing the design and synthesis of compounds. The effectiveness of ML models for ADME depends on the availability of high-quality experimental data for a diverse set of compounds that is relevant to the emerging chemical space being explored by the drug discovery teams.
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