485221. |
- Long, Yun Chau, et al.
(författare)
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Differential expression of metabolic genes essential for glucose and lipid metabolism in skeletal muscle from spinal cord injured subjects
- 2011
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Ingår i: Journal of applied physiology. - Bethesda, MD : American Physiological Society. - 8750-7587 .- 1522-1601. ; 110:5, s. 1204-1210
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Tidskriftsartikel (refereegranskat)abstract
- Skeletal muscle plays an important role in the regulation of energy homeostasis; therefore, the ability of skeletal muscle to adapt and alter metabolic gene expression in response to changes in physiological demands is critical for energy balance. Individuals with cervical spinal cord lesions are characterized by tetraplegia, impaired thermoregulation, and altered skeletal muscle morphology. We characterized skeletal muscle metabolic gene expression patterns, as well as protein content, in these individuals to assess the impact of spinal cord injury on critical determinants of skeletal muscle metabolism. Our results demonstrate that mRNA levels and protein expression of skeletal muscle genes essential for glucose storage are reduced, whereas expression of glycolytic genes is reciprocally increased in individuals with spinal cord injury. Furthermore, expression of genes essential for lipid oxidation is coordinately reduced in spinal cord injured subjects, consistent with a marked reduction of mitochondrial proteins. Thus spinal cord injury resulted in a profound and tightly coordinated change in skeletal muscle metabolic gene expression program that is associated with the aberrant metabolic features of the tissue. © 2011 the American Physiological Society.
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485222. |
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485223. |
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485224. |
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485225. |
- Long, Yanchen, et al.
(författare)
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Composable Worst-Case Delay Bound Analysis Using Network Calculus
- 2018
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Ingår i: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 0278-0070 .- 1937-4151. ; 37:3, s. 705-709
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Tidskriftsartikel (refereegranskat)abstract
- Performance analysis is playing an indispensable role in design and evaluation for on-chip networks. In former studies, the end-to-end delay bound is calculated by the equivalent service curve method based on network calculus when resource sharing happens. However, in this paper, we propose a composable method to get the bound. This method uses the aggregated local arrival curve to get the local delay bound first, then calculates the end-to-end bound by summing up local bounds. This method solves the scalability problem and largely decreases the computation complexity compared with the former method.
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485226. |
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485227. |
- Long, Y., et al.
(författare)
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Distributed non-cooperative robust MPC based on reduced-order models
- 2016
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Ingår i: Control Theory and Technology. - : South China University of Technology. - 2095-6983 .- 2198-0942. ; 14:1, s. 11-20
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, a non-cooperative distributed MPC algorithm based on reduced order model is proposed to stabilize large-scale systems. The large-scale system consists of a group of interconnected subsystems. Each subsystem can be partitioned into two parts: measurable part, whose states can be directly measured by sensors, and the unmeasurable part. In the online computation phase, only the measurable dynamics of the corresponding subsystem and neighbour-to-neighbour communication are necessary for the local controller design. Satisfaction of the state constraints and the practical stability are guaranteed while the complexity of the optimization problem is reduced. Numerical examples are given to show the effectiveness of this algorithm.
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485228. |
- Long, Yushen, et al.
(författare)
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Distributed nonlinear model predictive control based on contraction theory
- 2018
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Ingår i: International Journal of Robust and Nonlinear Control. - : WILEY. - 1049-8923 .- 1099-1239. ; 28:2, s. 492-503
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Tidskriftsartikel (refereegranskat)abstract
- A novel distributed model predictive control algorithm for continuous-time nonlinear systems is proposed in this paper. Contraction theory is used to estimate the prediction error in the algorithm, leading to new feasibility and stability conditions. Compared to existing analysis based on Lipschitz continuity, the proposed approach gives a distributed model predictive control algorithm under less conservative conditions, allowing stronger couplings between subsystems and a larger sampling interval when the subsystems satisfy the specified contraction conditions. A numerical example is given to illustrate the effectiveness and advantage of the proposed approach.
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485229. |
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485230. |
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