Results 131 to 140 of about 1,153,523 (263)

Stable Isotope Composition of Skin Layers Confirms Trophic Differentiation of Baird's and Sato's Beaked Whales (Berardius spp.) in the Western North Pacific. [PDF]

Rapid Commun Mass Spectrom
Filatova OA, Fedutin ID, Bobyr IG, Titova OV, Ragimov MO, Hoyt E, Tsurikov SM, Tiunov AV.   +7 more
europepmc   +1 more source

Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus

Arthritis Care &Research, EarlyView.
Objective Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined the following: (1) associations between economic insecurities and PROs, and (2) the impact of screening and addressing economic ...
Jay Patel, Tripti Singh, Meredith Ingersoll, Shelby Gomez, Amanda Weber, Sarah E. Panzer, Sancia Ferguson, Christie M. Bartels, Shivani Garg   +8 more
wiley   +1 more source

Information theory for hypergraph similarity. [PDF]

Sci Adv
Felippe H, Kirkley A, Battiston F.
europepmc   +1 more source

Integrating Patient‐Reported Quality Measures in Systemic Lupus Erythematosus: Development of the American College of Rheumatology Implementation Guide

Arthritis Care &Research, EarlyView.
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcome measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semistructured interviews ...
Catherine Nasrallah, Cherish Wilson, Christine Hariz, Christie M. Bartels, Shanthini Kasturi, Wambui Machua, Amy Bennett, Kate Chiseri, Allison Plitman, Starla Hairston Blanks, April Jorge, Patti Katz, Jinoos Yazdany, Shivani Garg   +13 more
wiley   +1 more source

Recent Advances of Atomic/Molecular Layer Deposition Engineering Silicon Interface for Lithium-Ion Batteries. [PDF]

Nanomicro Lett
Wen H, Xu Y, Wang X, Li M, Zhang L, Qian H, Kang J, Song X, Li Y, Wang J, Zhang J, Li X.   +11 more
europepmc   +1 more source

Real‐World Longitudinal Data on the Impact of Hydroxychloroquine Blood Level Monitoring on Lupus Outcomes: Results of a Prospective Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel, Fauzia Hollangel, Caroline Packee, Amita Kapoor, Brad Rovin, Nathalie Costedoat‐Chalumeau, Shivani Garg   +6 more
wiley   +1 more source

Surface Characterization and Antimicrobial Capability Evaluation of Medical-Grade Titanium Modified by Facile Immersion in the Solution of Novel Catechol-Terminated Compounds Having Cationic Quaternary Ammonium Functionality with Different Alkyl Chain Lengths. [PDF]

J Funct Biomater
Liu ZH, Fan NC, Cheng CH, Lin JC.
europepmc   +1 more source

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, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Designing Magnetic Topological Insulator Trilayers for Highly Efficient Spin-Orbit Torque Switching. [PDF]

Nano Lett
Zhou LJ, Zhuo D, Tay H, Yan ZJ, Xiao P, Liu X, Zhang B, Chang CZ.   +7 more
europepmc   +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   +2 more
wiley   +1 more source