Results 151 to 160 of about 24,916,518 (300)

Metadata-Integrated Deep Semi-Autoencoder for Implicit-Feedback Recommendation Under Data Sparsity and Cold Start

IEEE Access
Collaborative filtering under implicit feedback suffers from data sparsity and cold start, degrading ranking quality. The basic semi-autoencoder (BSAE) integrates metadata to improve top- $k$ performance, but its single-hidden-layer design may limit the
Uguray Durdu, Gulder Kemalbay
doaj   +1 more source

Prevalence of Dietary Supplement Use and Potential Medication Interactions Among Adults With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE).
Sarah L. Patterson, Russell Ellyson, Jessica Fitzpatrick, Ghizlane Yaakoubi, Bradley Pearce, S. Sam Lim, Jinoos Yazdany, Laura C. Plantinga   +7 more
wiley   +1 more source

Real‐World Effectiveness and Safety of Secukinumab in Giant Cell Arteritis: An Italian Multicenter Cohort Study

Arthritis Care &Research, EarlyView.
Objective The objective of this study was to evaluate the real‐world effectiveness and safety of secukinumab in patients with giant cell arteritis (GCA). Methods This multicenter retrospective study included patients with GCA who received secukinumab at 14 Italian centers with at least six months of follow‐up.
Luca Iorio, Federica Davanzo, Caterina Ricordi, Milena Bond, Ruggiero Mascolo, Jacopo Mora, Alessandro Tomelleri, Angelo Fassio, Francesca Cuzzocrea, Sara Monti, Edoardo Conticini, Fabiola Atzeni, Paolo Delvino, Carlotta Nannini, Augusta Ortolan, Francesco Pollastri, Ester Vivaldelli, Chiara Marvisi, Paola Toniati, Antonio Brucato, Alessandra Milanesi, Francesca Regola, Enrico Tombetti, Lorenzo Dagna, Roberta Ramonda, Christian Dejaco, Luca Quartuccio, Carlo Salvarani, Roberto Padoan   +28 more
wiley   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

Arthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi, Stephen Batter, Yiyuan Wu, William Salerno, Alice Santilli, Sandhya Kannayiram, Susan Goodman, Bella Mehta   +7 more
wiley   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Sparsity-Enhanced Constrained Least-Squares Spectral Analysis with Greedy-FISTA

The utilization of the inversion-based algorithm for spectral decomposition using constrained least-squares spectral analysis (CLSSA) facilitates a time–frequency spectrum with higher temporal and frequency resolution.
Guohua Wei, Wubing Deng, Zhenchun Li, Li-Yun Fu   +3 more
core   +1 more source

PhysLoc‐DeepONet: Physics‐Constrained DeepONet for Passive Seismic Source Localization With Limited Differential Travel‐Time Data

Journal of Geophysical Research: Machine Learning and Computation
Passive source localization plays a critical role in understanding subsurface stress dynamics during hydraulic fracturing, assessing seismic risks, and exploring mineral resources.
Yang Zeng, Min Bai, Jiachen Hu, Chao Li, Yangkang Chen   +4 more
doaj   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

Advanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein, Tiago Carneiro Gomes, Eliza Ng, Simon Rondeau‐Gagné, Tricia Breen Carmichael   +4 more
wiley   +1 more source

Experiments in Sparsity Reduction: Using

, 2002
The high cardinality and sparsity of a collaborative recommender 's dataset is a challenge to its eciency. We generalise an existing clustering technique and apply it to a collaborative recommender's dataset to reduce cardinality and ...
Jerome Kelleher, Clustering In Collaborative, Derek Bridge   +2 more
core  

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

Advanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source