Results 61 to 70 of about 1,308,678 (317)
High-order volterra model predictive control and its application to a nonlinear polymerisation process [PDF]
Model Predictive Control (MPC) has recently found wide acceptance in the process industry, but the existing design and implementation methods are restricted to linear process models. A chemical process involves, however, severe nonlinearity which cannot
Kashiwagi, H., Li, Y.
core +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Lyapunov-based Model Predictive Control of Nonlinear Quadruple Tank System Using Constrained and Unconstrained Methods [PDF]
Model predictive control is a widely utilized advanced control technique in industrial settings, valued for its capacity to effectively manage complex multi-input multi-output processes while optimizing process performance.
Hossein Yektamoghaddam +3 more
doaj +1 more source
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Background Nanomaterials offer increasing applications across diverse sectors, including food science, medicine, and electronics. Environmental risk assessment is crucial for ensuring the safety and sustainability of nanomaterials.
Soojin Kim +11 more
doaj +1 more source
Mapping the future of medicine through digital twins
Digital twins are rapidly gaining popularity in medicine and the health sciences, as they offer not merely a new method but a versatile paradigm capable of addressing a wide range of healthcare challenges.
Frank Emmert-Streib +5 more
doaj +1 more source
Applicazione di Model Predictive Control al problema di Motion Cueing vincolato di un simulatore di guida [PDF]
Applicazione di Model Predictive Control a un simulatore di guida ...
Tosetto, Luca
core
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Prediction of catastrophes: An experimental model [PDF]
Catastrophes of all kinds can be roughly defined as short duration-large amplitude events following and followed by long periods of "ripening". Major earthquakes surely belong to the class of 'catastrophic' events. Because of the space-time scales involved, an experimental approach is often difficult, not to say impossible, however desirable it could ...
Peters, Randall D. +2 more
openaire +3 more sources
State-space approach to nonlinear predictive generalized minimum variance control [PDF]
A Nonlinear Predictive Generalized Minimum Variance (NPGMV) control algorithm is introduced for the control of nonlinear discrete-time multivariable systems.
Majecki, P.M. +3 more
core +1 more source

