The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Yinglong Wang - One of the best experts on this subject based on the ideXlab platform.
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Dynamic Control of hybrid processes with liquid liquid extraction for propylene glycol methyl ether dehydration
Industrial & Engineering Chemistry Research, 2018Co-Authors: Tingran Zhao, Jingwei Yang, Dongmei Xu, Yinglong WangAbstract:Dynamic Control structures are significant for liquid–liquid extraction combined with heterogeneous azeotropic distillation (LEHAD) and liquid–liquid extraction combined with extractive distillation (LEED) processes, which were proposed in our previous work for the separation of the azeotrope of propylene glycol methyl ether and water. However, there may be complications regarding the Dynamic Controllability of the two hybrid processes, and this work investigates the Dynamic Control structures. For the LEHAD process, an improved composition–temperature cascade Control structure using the ratio of the reboiler duty to feed flow (QR/F) can realize effective Control when feed disturbances are added. For the LEED process, the improved dual temperature Control structure with QR/F was able to handle the disturbances well. Moreover, a comparison between the two hybrid processes was made according to the Dynamic Controllability, and the integral of the squared errors was calculated. The results show that the LEHA...
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Dynamic Control of Hybrid Processes with Liquid–Liquid Extraction for Propylene Glycol Methyl Ether Dehydration
2018Co-Authors: Tingra Zhao, Jingwei Yang, Zhaoyou Zhu, Yinglong WangAbstract:Dynamic Control structures are significant for liquid–liquid extraction combined with heterogeneous azeotropic distillation (LEHAD) and liquid–liquid extraction combined with extractive distillation (LEED) processes, which were proposed in our previous work for the separation of the azeotrope of propylene glycol methyl ether and water. However, there may be complications regarding the Dynamic Controllability of the two hybrid processes, and this work investigates the Dynamic Control structures. For the LEHAD process, an improved composition–temperature cascade Control structure using the ratio of the reboiler duty to feed flow (QR/F) can realize effective Control when feed disturbances are added. For the LEED process, the improved dual temperature Control structure with QR/F was able to handle the disturbances well. Moreover, a comparison between the two hybrid processes was made according to the Dynamic Controllability, and the integral of the squared errors was calculated. The results show that the LEHAD process has better Dynamic Controllability than the LEED process
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comparison of pressure swing distillation and extractive distillation with varied diameter column in economics and Dynamic Control
Journal of Process Control, 2017Co-Authors: Jiajing Hu, Guangle Bu, Yinglong WangAbstract:Abstract Pressure-swing distillation and extractive distillation are two common methods for azeotrope separation. The economics and Controllability are two crucial factors for evaluating the feasibility of a separation process. A varied-diameter column (VDC) was used in the process design to evaluate its economics and Controllability. Five azeotropic systems were investigated in order to compare the economics of pressure-swing distillation and extractive distillation with a VDC. Results indicate that pressure-swing distillation with a VDC saves more money than extractive distillation. The Dynamic Control were evaluated in the acetone-methanol system for both processes with a VDC. The improved Control structure for pressure-swing distillation with a VDC can handle ±20% disturbances effectively, while the improved Control structure for extractive distillation with a VDC can only handle ±10% disturbances. A comparison of the two methods from the viewpoint of economics and Controllability demonstrates that pressure-swing distillation is more suitable when using a VDC.
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insight into pressure swing distillation from azeotropic phenomenon to Dynamic Control
Chemical Engineering Research & Design, 2017Co-Authors: Shisheng Liang, Yongteng Zhao, Yongkun Wang, Xin Li, Yinglong WangAbstract:Abstract Pressure-swing distillation (PSD) is widely used as an efficient method for separating pressure-sensitive azeotropic mixtures in industrial processes. Remarkably, PSD can achieve pure products without introducing a third component compared with extractive distillation and azeotropic distillation. Heat integration into PSD can save energy and reduce operating costs, thus relieving the continuous growth of energy consumption in the distillation industry. This review paper describes the development of this widely used distillation technique, including all of the main aspects related to thermoDynamic analysis, Quantitative structure property relationship (QSPR), process design, process intensification, and Dynamic Control. Based on the foundation of research, further development of PSD is proposed for separating multi-component azeotropic mixtures and exploring the process design and Dynamic Control from QSPR, aiming at promoting the industrial application of this environmentally friendly and well-known separation technique from multi-scale analysis.
Janmarino Ramirez - One of the best experts on this subject based on the ideXlab platform.
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insights into the Dynamic Control of breathing revealed through cell type specific responses to substance p
eLife, 2019Co-Authors: Nathan A Baertsch, Janmarino RamirezAbstract:The rhythm generating network for breathing must continuously adjust to changing metabolic and behavioral demands. Here, we examined network-based mechanisms in the mouse preBotzinger complex using substance P, a potent excitatory modulator of breathing frequency and stability, as a tool to dissect network properties that underlie Dynamic breathing. We find that substance P does not alter the balance of excitation and inhibition during breaths or the duration of the resulting refractory period. Instead, mechanisms of recurrent excitation between breaths are enhanced such that the rate that excitation percolates through the network is increased. We propose a conceptual framework in which three distinct phases of inspiration, the burst phase, refractory phase, and percolation phase, can be differentially modulated to Control breathing Dynamics and stability. Unraveling mechanisms that support this Dynamic Control may improve our understanding of nervous system disorders that destabilize breathing, many of which involve changes in brainstem neuromodulatory systems.
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insights into the Dynamic Control of breathing revealed through cell type specific responses to substance p
bioRxiv, 2019Co-Authors: Nathan A Baertsch, Janmarino RamirezAbstract:The rhythm generating network for breathing must continuously adjust to changing metabolic and behavioral demands. Here, we examine network-based mechanisms in the mouse preBotzinger complex using substance P, a potent excitatory modulator of breathing frequency and stability, as a tool to dissect properties that underlie Dynamic breathing. We find that substance P does not alter the balance of excitation and inhibition during breaths or the duration of the resulting refractory period. Instead, recurrent excitation between breaths is enhanced such that the rate that excitation percolates through the network is increased. Based on our results, we propose a conceptual framework in which three distinct phases, the inspiratory phase, refractory phase, and percolation phase, are differentially modulated to influence breathing Dynamics and stability. Unravelling mechanisms that support this Dynamic Control may improve our understanding of nervous system disorders that destabilize breathing, many of which are associated with changes in brainstem neuromodulatory systems.
Jan Treur - One of the best experts on this subject based on the ideXlab platform.
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formal semantics of meta level architectures Dynamic Control of reasoning
International Journal of Intelligent Systems, 2002Co-Authors: Jan TreurAbstract:Meta-level architectures for Dynamic Control of reasoning processes are quite powerful. In the literature, many applications in reasoning systems modeling complex tasks are described, usually in a procedural manner. In this article we present a semantic framework based on temporal partial logic to describe the Dynamics of reasoning behavior. Using these models, the semantics of the behavior of the whole (meta-level) reasoning system can be described by a set of (intended) temporal models.
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temporal semantics of meta level architectures for Dynamic Control of reasoning
Series in Defeasible Reasoning and Uncertainty Management Systems, 2001Co-Authors: Jan TreurAbstract:In the literature on meta-level architectures and reflection two separate streams can be distinguished: a logical stream (e.g., [Bowen and Kowalski, 1982], [Giunchiglia et al., 1993], [Weyhrauch, 1980]) and a procedural stream (e.g., [Clancey and Bock, 1988], [Davis, 1980]). Unfortunately there is a serious gap between the two streams. In the logical stream one restricts oneself often to static reflections; i.e., of facts the truth of which does not change during the reasoning: e.g., provable(A) (with A an object-level formula). In the procedural stream usually facts are reflected the truth of which changes during the whole reasoning pattern; e.g. Control statements like currentgoal(A) with A an object-level formula, that are sometimes true and sometimes false during the reasoning. If applications to Dynamic Control of complex reasoning tasks are concerned these Dynamic reflections are much more powerful (for applications see, e.g. [Davis, 1980], [Clancey and Bock, 1988], or [Brumsen et al., 1992], [Geelen and Kowalczyk, 1992], [Tan and Treur, 1992a1, [Tan and Treur, 1992b], [Treur, 1991a], [Treur and Veerkamp, 1992]). However, a logical basis for this is still lacking. The current paper provides a logical foundation (based on temporal logic) of meta-level architectures for Dynamic Control. Our logical framework enables one to study these Dynamic meta-level architectures by logical means. It can be viewed as a contribution to bridge the gap between the logical stream and the procedural stream.
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temporal semantics of meta level architectures for Dynamic Control of reasoning
LOPSTR '94 META '94 Proceedings of the 4th International Workshops on Logic Programming Synthesis and Transformation - Meta-Programming in Logic, 1994Co-Authors: Jan TreurAbstract:Meta-level architectures for Dynamic Control of reasoning processes are quite powerful. In the literature many applications in reasoning systems modelling complex tasks are described, usually in a procedural manner. In this paper we present a declarative framework based on temporal (partial) logic that enables one to describe the Dynamics of reasoning behaviour by temporal models. Using these models the semantics of the behaviour of the whole (meta-level) reasoning system can be described by a set of (intended) temporal models.
Iain S Walker - One of the best experts on this subject based on the ideXlab platform.
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meeting residential ventilation standards through Dynamic Control of ventilation systems
Energy and Buildings, 2011Co-Authors: Max H Sherman, Iain S WalkerAbstract:Existing ventilation standards, including American Society of Heating, Refrigerating, and Air-conditioning Engineers (ASHRAE) Standard 62.2, specify continuous operation of a defined mechanical ventilation system to provide minimum ventilation, with time-based intermittent operation as an option. This requirement ignores several factors and concerns including: other equipment such as household exhaust fans that might incidentally provide ventilation, negative impacts of ventilation when outdoor pollutant levels are high, the importance of minimizing energy use particularly during times of peak electricity demand, and how the energy used to condition air as part of ventilation system operation changes with outdoor conditions. Dynamic Control of ventilation systems can provide ventilation equivalent to or better than what is required by standards while minimizing energy costs and can also add value by shifting load during peak times and reducing intake of outdoor air contaminants. This article describes the logic that enables Dynamic Control of whole-house ventilation systems to meet the intent of ventilation standards and demonstrates the Dynamic ventilation system Control concept through simulations and field tests of the Residential Integrated Ventilation-Energy Controller (RIVEC).
Barbara M L C Bocco - One of the best experts on this subject based on the ideXlab platform.
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paradigms of Dynamic Control of thyroid hormone signaling
Endocrine Reviews, 2019Co-Authors: Antonio C Bianco, Alexandra M Dumitrescu, Balazs Gereben, Miriam O Ribeiro, Tatiana L Fonseca, Gustavo W Fernandes, Barbara M L C BoccoAbstract:Thyroid hormone (TH) molecules enter cells via membrane transporters and, depending on the cell type, can be activated (i.e., T4 to T3 conversion) or inactivated (i.e., T3 to 3,3'-diiodo-l-thyronine or T4 to reverse T3 conversion). These reactions are catalyzed by the deiodinases. The biologically active hormone, T3, eventually binds to intracellular TH receptors (TRs), TRα and TRβ, and initiate TH signaling, that is, regulation of target genes and other metabolic pathways. At least three families of transmembrane transporters, MCT, OATP, and LAT, facilitate the entry of TH into cells, which follow the gradient of free hormone between the extracellular fluid and the cytoplasm. Inactivation or marked downregulation of TH transporters can dampen TH signaling. At the same time, Dynamic modifications in the expression or activity of TRs and transcriptional coregulators can affect positively or negatively the intensity of TH signaling. However, the deiodinases are the element that provides greatest amplitude in Dynamic Control of TH signaling. Cells that express the activating deiodinase DIO2 can rapidly enhance TH signaling due to intracellular buildup of T3. In contrast, TH signaling is dampened in cells that express the inactivating deiodinase DIO3. This explains how THs can regulate pathways in development, metabolism, and growth, despite rather stable levels in the circulation. As a consequence, TH signaling is unique for each cell (tissue or organ), depending on circulating TH levels and on the exclusive blend of transporters, deiodinases, and TRs present in each cell. In this review we explore the key mechanisms underlying customization of TH signaling during development, in health and in disease states.
