The Experts below are selected from a list of 58065 Experts worldwide ranked by ideXlab platform
J Radziuk - One of the best experts on this subject based on the ideXlab platform.
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hepatic glucose uptake gluconeogenesis and the regulation of glycogen synthesis
2001Co-Authors: J RadziukAbstract:Hepatic glycogen is replenished during the absorptive period postprandially. This repletion is prompted partly by an increased hepatic uptake of glucose by the liver, partly by metabolite and hormonal signals in the portal vein, and partly by an increased gluconeogenic flux to glycogen (glyconeogenesis). There is some evidence that the direct formation of glycogen from glucose and that formed by gluconeogenic pathways is linked. This includes: (i) the inhibition of all glycogen synthesis, in vivo, when gluconeogenic flux is blocked by inhibitors; (ii) a Dual Relationship between glucose concentrations, lactate uptake by the liver and glycogen synthesis (by both pathways) which indicates that glucose sets the maximal rates of glycogen synthesis while lactate uptake determines the actual flux rate to glycogen; (iii) the decrease of both gluconeogenesis and glycogen synthesis by the biguanide, metformin; and (iv) correlations between increased gluconeogenesis and liver glycogen in obese patients and animal models. The degree to which the liver extracts portal glucose is not entirely agreed upon although a preponderance of evidence points to about a 5% extraction rate, following meals, which is dependent on a stimulation of glucokinase. This enzyme may be linked to the expression of other enzymes in the gluconeogenic pathway. Perivenous cells in the liver may induce additional gluconeogenesis in the periportal cells by increasing glycolytically produced lactate. A number of potential mechanisms therefore exist which could link glycogen synthesis from glucose and gluconeogenic substrate. Copyright © 2001 John Wiley & Sons, Ltd.
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hepatic glucose uptake gluconeogenesis and the regulation of glycogen synthesis
2001Co-Authors: J Radziuk, S PyeAbstract:Hepatic glycogen is replenished during the absorptive period postprandially. This repletion is prompted partly by an increased hepatic uptake of glucose by the liver, partly by metabolite and hormonal signals in the portal vein, and partly by an increased gluconeogenic flux to glycogen (glyconeogenesis). There is some evidence that the direct formation of glycogen from glucose and that formed by gluconeogenic pathways is linked. This includes: (i) the inhibition of all glycogen synthesis, in vivo, when gluconeogenic flux is blocked by inhibitors; (ii) a Dual Relationship between glucose concentrations, lactate uptake by the liver and glycogen synthesis (by both pathways) which indicates that glucose sets the maximal rates of glycogen synthesis while lactate uptake determines the actual flux rate to glycogen; (iii) the decrease of both gluconeogenesis and glycogen synthesis by the biguanide, metformin; and (iv) correlations between increased gluconeogenesis and liver glycogen in obese patients and animal models. The degree to which the liver extracts portal glucose is not entirely agreed upon although a preponderance of evidence points to about a 5% extraction rate, following meals, which is dependent on a stimulation of glucokinase. This enzyme may be linked to the expression of other enzymes in the gluconeogenic pathway. Perivenous cells in the liver may induce additional gluconeogenesis in the periportal cells by increasing glycolytically produced lactate. A number of potential mechanisms therefore exist which could link glycogen synthesis from glucose and gluconeogenic substrate.
Yun-nung Chen - One of the best experts on this subject based on the ideXlab platform.
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Dual supervised learning for natural language understanding and generation
2019Co-Authors: Chaowei Huang, Yun-nung ChenAbstract:Natural language understanding (NLU) and natural language generation (NLG) are both critical research topics in the NLP and dialogue fields. Natural language understanding is to extract the core semantic meaning from the given utterances, while natural language generation is opposite, of which the goal is to construct corresponding sentences based on the given semantics. However, such Dual Relationship has not been investigated in literature. This paper proposes a novel learning framework for natural language understanding and generation on top of Dual supervised learning, providing a way to exploit the Duality. The preliminary experiments show that the proposed approach boosts the performance for both tasks, demonstrating the effectiveness of the Dual Relationship.
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Dual Supervised Learning for Natural Language Understanding and Generation
2019Co-Authors: Chaowei Huang, Yun-nung ChenAbstract:Natural language understanding (NLU) and natural language generation (NLG) are both critical research topics in the NLP field. Natural language understanding is to extract the core semantic meaning from the given utterances, while natural language generation is opposite, of which the goal is to construct corresponding sentences based on the given semantics. However, such Dual Relationship has not been investigated in the literature. This paper proposes a new learning framework for language understanding and generation on top of Dual supervised learning, providing a way to exploit the Duality. The preliminary experiments show that the proposed approach boosts the performance for both tasks.
S Pye - One of the best experts on this subject based on the ideXlab platform.
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hepatic glucose uptake gluconeogenesis and the regulation of glycogen synthesis
2001Co-Authors: J Radziuk, S PyeAbstract:Hepatic glycogen is replenished during the absorptive period postprandially. This repletion is prompted partly by an increased hepatic uptake of glucose by the liver, partly by metabolite and hormonal signals in the portal vein, and partly by an increased gluconeogenic flux to glycogen (glyconeogenesis). There is some evidence that the direct formation of glycogen from glucose and that formed by gluconeogenic pathways is linked. This includes: (i) the inhibition of all glycogen synthesis, in vivo, when gluconeogenic flux is blocked by inhibitors; (ii) a Dual Relationship between glucose concentrations, lactate uptake by the liver and glycogen synthesis (by both pathways) which indicates that glucose sets the maximal rates of glycogen synthesis while lactate uptake determines the actual flux rate to glycogen; (iii) the decrease of both gluconeogenesis and glycogen synthesis by the biguanide, metformin; and (iv) correlations between increased gluconeogenesis and liver glycogen in obese patients and animal models. The degree to which the liver extracts portal glucose is not entirely agreed upon although a preponderance of evidence points to about a 5% extraction rate, following meals, which is dependent on a stimulation of glucokinase. This enzyme may be linked to the expression of other enzymes in the gluconeogenic pathway. Perivenous cells in the liver may induce additional gluconeogenesis in the periportal cells by increasing glycolytically produced lactate. A number of potential mechanisms therefore exist which could link glycogen synthesis from glucose and gluconeogenic substrate.
Chaowei Huang - One of the best experts on this subject based on the ideXlab platform.
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Dual supervised learning for natural language understanding and generation
2019Co-Authors: Chaowei Huang, Yun-nung ChenAbstract:Natural language understanding (NLU) and natural language generation (NLG) are both critical research topics in the NLP and dialogue fields. Natural language understanding is to extract the core semantic meaning from the given utterances, while natural language generation is opposite, of which the goal is to construct corresponding sentences based on the given semantics. However, such Dual Relationship has not been investigated in literature. This paper proposes a novel learning framework for natural language understanding and generation on top of Dual supervised learning, providing a way to exploit the Duality. The preliminary experiments show that the proposed approach boosts the performance for both tasks, demonstrating the effectiveness of the Dual Relationship.
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Dual Supervised Learning for Natural Language Understanding and Generation
2019Co-Authors: Chaowei Huang, Yun-nung ChenAbstract:Natural language understanding (NLU) and natural language generation (NLG) are both critical research topics in the NLP field. Natural language understanding is to extract the core semantic meaning from the given utterances, while natural language generation is opposite, of which the goal is to construct corresponding sentences based on the given semantics. However, such Dual Relationship has not been investigated in the literature. This paper proposes a new learning framework for language understanding and generation on top of Dual supervised learning, providing a way to exploit the Duality. The preliminary experiments show that the proposed approach boosts the performance for both tasks.
Ravi P Agarwal - One of the best experts on this subject based on the ideXlab platform.
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multi objective geometric programming approach in multivariate stratified sample survey with quadratic cost function
2016Co-Authors: Shafi Ullah, Ravi P AgarwalAbstract:ABSTRACTThe problem of optimum allocation in multivariate stratified sample surveys where the total cost (C) of the survey is quadratic in nh with significant travel cost has been formulated of as a Multi-Objective Geometric Programming Problem (MOGPP). The fuzzy programming approach has been described for converting the (MOGPP) into Single Objective Geometric Programming Problem (SOGPP) with the use of the membership function. The formulated SOGPP has been solved with the help of LINGO [LINGO User's Guide. Published by Lindo Systems Inc., 1415 North Dayton Street, Chicago, Illinois-60622; 2013.] Software and the Dual solution is obtained. The optimum allocations of sample sizes are obtained with the help of Dual solutions and the primal–Dual Relationship theorem. A numerical example is given to illustrate the procedure.
