IDH Mutation Assessment in Gliomas from Anatomical MRI Using Deep Learning: A Comparative Analysis of Centralized and Federated Learning Frameworks. [PDF]
Diagnostics (Basel)Bas A, Ozturk-Isik E.
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Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
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Threshold-Filtered Kinetic Monte Carlo Simulation for Real-Time Simulation and Control of Biomass Fractionation. [PDF]
Ind Eng Chem ResKim J, Ryu J, Yang Q, Yoo CG, Kwon JS.
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Arthritis Care &Research, EarlyView.Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier +12 more
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Playerload™ and accelerometer-based metrics: scientific evaluation and implications for athlete monitoring. [PDF]
Front Sports Act LivingStaunton CA +4 more
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Arthritis Care &Research, Accepted Article.Background Clinical response to Mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with SLE, particularly those with extra‐renal ...
Zahraa Qamhieh +5 more
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Hardy-Weinberg Equilibrium Filtering in Population Genomics: Empirical Review and Decision Framework for Improved Practice. [PDF]
Ecol EvolHsu YH.
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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Enhancing recommendation diversity and accuracy with product paths and time decay mechanisms. [PDF]
PLoS OneWang X, Ming W, Fu Z, Ma X.
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