Results 71 to 80 of about 1,348,659 (266)

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
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

Data-Driven Predictive Control Applied to Gear Shifting for Heavy-Duty Vehicles

open access: yesEnergies, 2018
In this paper, the data-driven predictive control method is applied to the clutch speed tracking control for the inertial phase of the shift process.
Xinxin Zhao, Zhijun Li
doaj   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

open access: yesFEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Algebraic approach to synthesis of data-driven control design for dissipativity

open access: yesSICE Journal of Control, Measurement, and System Integration
Model-based control methods play an important role in control theory. Such controllers are designed via system identification; however, this approach is not applicable to cases where it is difficult to execute system identification owing to the large ...
Yuki Tanaka   +2 more
doaj   +1 more source

Efficient data-driven predictive control of nonlinear systems: A review and perspectives

open access: yesDigital Chemical Engineering
Model predictive control (MPC) has become a key tool for optimizing real-time operations in industrial systems and processes, particularly to enhance performance, safety, and resilience.
Xiaojie Li   +5 more
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Data‐driven dual‐loop control for platooning mixed human‐driven and automated vehicles

open access: yesIET Intelligent Transport Systems
This paper considers controlling automated vehicles (AVs) to form a platoon with human‐driven vehicles (HVs) under consideration of unknown HV model parameters and propulsion time constants. The proposed design is a data‐driven dual‐loop control strategy
Jianglin Lan
doaj   +1 more source

Data-Driven Control Design for Complex Systems: Theory, Challenges, and Novel Applications

open access: yesSukkur IBA Journal of Computing and Mathematical Sciences
This paper examines the switch from model-based to data-driven control systems, providing an overview of the challenges encountered and the potential solutions.
Chandar Kumar   +4 more
doaj   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Data-Driven Adaptive Tracking Control of Unknown Autonomous Marine Vehicles

open access: yesIEEE Access, 2018
This paper is concerned with data-driven adaptive tracking control for unknown autonomous marine vehicles (AMVs) with uncertainties and disturbances.
Yongpeng Weng   +4 more
doaj   +1 more source

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