Results 71 to 80 of about 2,550,807 (248)
Journal of Librarianship and Scholarly Communication
doaj +2 more sources
Objectives Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centred care and informing local service pathways and care guidelines or standards.
Sonia Ranelli+8 more
wiley +1 more source
Objective This study aimed to determine if program format (in‐person, virtual, hybrid) results in differences in three‐month outcomes of pain, function, quality of life, self‐efficacy and chair stands in a hip/knee osteoarthritis management program. Methods A secondary analysis of the GLA:DTM Canada database was completed.
Jill Van Damme+7 more
wiley +1 more source
Recently, there has been growing discussion about how to best assess pain in clinical trials in rheumatic diseases. Reliable measurement of pain outcomes is essential for accurately determining the effectiveness of treatments. While pain intensity is the most common measure of change in pain trials, other pain‐related measures, such as pain ...
Yen T. Chen+4 more
wiley +1 more source
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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
Neural Network Adaptive Control With Long Short‐Term Memory
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc+4 more
wiley +1 more source
HMGB1 derived from the pyroptotic environment in Hirschsprung‐associated enterocolitis mediates the formation of macrophage extracellular traps through TLR4 ‐p38 MAPK/p65 NF‐kB signaling pathways. Macrophage extracellular traps induce increased ROS production and pyroptosis of colonic epithelial cells.
Rui Zhang+6 more
wiley +1 more source
In vitro cancer models are advantageous for studying important processes such as tumorigenesis, cancer growth, invasion, and metastasis. The complexity and biological relevance increase depending on the model structure, organization, and composition of materials and cells.
Kyndra S. Higgins+2 more
wiley +1 more source