Results 81 to 90 of about 953,075 (309)
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Flow-dynamics informed Kolmogorov–Arnold networks for simulating subsonic compressible flow around airfoils [PDF]
Deep learning has been probed for surrogate modeling of flow around airfoils. While physics-informed neural networks (PINNs) built on sparse data possess some physical interpretability, the prediction of flow fields may deviate from the true distribution.
Jianren Sun, Zhongyang Fei, Pan Qin
doaj +1 more source
The leapfrog algorithm, so called because of its geometric nature, for solving a class of optimal control problems is proposed. Initially a feasible trajectory is given and subdivided into smaller pieces. In each subdivision, with the assumption that local optimal controls can easily be calculated, a piecewise-optimal trajectory is obtained.
C. Yalçin Kaya, Lyle Noakes
openaire +3 more sources
This book deals with optimization methods as tools for decision making and control in the presence of model uncertainty. It is oriented to the use of these tools in engineering, specifically in automatic control design with all its components: analysis ...
Pereira, Fernando +3 more
core +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Quality Weakly Related Fault Detection Based on Weighted Dual-Step Feature Extraction
Process variables can be separated into quality strongly related variables (QSRVs) and quality weakly related variables (QWRVs) based on the difference of correlation between process variables and quality.
Bo Zhao +3 more
doaj +1 more source
Preface: Special issue on control and optimization
In this special issue on Control and Optimization we present papers authored by a selected group of experts in these areas. The growing importance of control theory and optimization has been recognized in recent years.
Motta, Monica +4 more
core +1 more source
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
This paper investigates the safe navigation of mobile robots in complex-static-obstacle environments and proposes a deadlock-resistant navigation control method. First, convex polygonal obstacles are modeled using the Log-Sum-Exp (LSE) function. Goal and
Liang Gao +5 more
doaj +1 more source
Process Monitoring via Key Principal Components and Local Information Based Weights
There are two problems in principal component analysis (PCA), which is widely employed in multivariate statistical process monitoring. On one hand, principal components selection according to the variance of the normal training dataset cannot represent ...
Bing Song +5 more
doaj +1 more source

