The Experts below are selected from a list of 237603 Experts worldwide ranked by ideXlab platform

Mathew Y H Wong - One of the best experts on this subject based on the ideXlab platform.

  • median voter and power resources revisited a Composite Model of inequality
    European Political Science Review, 2017
    Co-Authors: Mathew Y H Wong
    Abstract:

    This study explains redistribution and income inequality by revisiting traditional approaches. The predictions of the two dominant theories, the median voter hypothesis (the Meltzer–Richard Model) and the power resources theory are regarded as contrasting, and have seldom been incorporated under a single framework. I develop a Composite Model of inequality by combining their core arguments within the framework of party competition. This study also analyses stages of inequality formation, namely market wage inequality and redistribution, and adds in a dynamic component to the Model, completing the cycle of income distribution. The Model is supported empirically with data from 18 Organisation for Economic Cooperation and Development countries from 1970 to 2009. I demonstrate the joint relevance and significance of the two theories, showing that they are not necessarily mutually exclusive and should be properly addressed from both theoretical perspectives.

  • median voter and power resources revisited a Composite Model of inequality
    Social Science Research Network, 2013
    Co-Authors: Mathew Y H Wong
    Abstract:

    This paper explains redistribution and income inequality by revisiting traditional approaches. Despite the popularity of two dominant theories, the median voter hypothesis (the Meltzer-Richard Model) and power resources theory, they are thought to have contrasting predictions and have seldom been incorporated under a single framework. I develop a Composite Model of inequality by accommodating their core arguments. This study also analyzes stages of inequality formation, such as market wage inequality and redistribution, and adds in a dynamic component to the Model, completing the cycle of income distribution. The Model is supported empirically with data from 18 OECD countries from 1970 to 2006. I demonstrate the joint relevance and significance of the two theories, showing that they are not necessarily mutually exclusive and should be properly addressed from both theoretical perspectives.

  • median voter and power resources revisited a Composite Model of inequality
    Research Papers in Economics, 2013
    Co-Authors: Mathew Y H Wong
    Abstract:

    This paper explains redistribution and income inequality by revisiting traditional approaches. First, despite the popularity of two dominant theories, the median voter hypothesis (the Meltzer-Richard Model) and power resources theory, they are thought to have contrasting predictions and have seldom been incorporated under a single framework. We develop a Composite Model of inequality by accommodating their core arguments. This study also analyzes stages of inequality formation, such as market wage inequality and redistribution, and adds in a dynamic component to the Model, completing the cycle of inequality. The Model is supported empirically with data from 18 OECD countries from 1970 to 2006. We demonstrate the joint relevance and significance of the two theories, showing that they are not necessarily mutually exclusive.

Le Luo - One of the best experts on this subject based on the ideXlab platform.

  • A numerical Model to evaluate formation properties through pressure-transient analysis with alternate polymer flooding
    Advances in Geo-Energy Research, 2019
    Co-Authors: Jia Zhang, Shiqing Cheng, Changyu Zhu, Le Luo
    Abstract:

    A numerical pressure transient analysis method of Composite Model with alternate polymer flooding is presented, which is demonstrated by field test data provided by China National Petroleum Corporation. Polymer concentration distribution and viscosity distribution are obtained on the basis of polymer rheological Model, considering shear effect, convection, diffusion, inaccessible pore volume and permeability reduction of polymer. Pressure analysis mathematical Model is established by considering wellbore storage effect and skin effect. Type curves are then developed from mathematical Model which have seven sections and parameter sensitivity is analyzed, among which the transient sections of low-concentration and high-concentration hydrolyzed polyacrylamides (HPAM) solution, high-concentration HPAM solution and crude oil show obvious concave shape on pressure derivative curve due to different viscosities of three zones. Formation parameters and viscosity distribution of polymer solution can be calculated by type-curve matching. The polymer flooding field tests prove that the three-zone Composite Model can reasonably calculate formation parameters in onshore oilfield with alternate polymer flooding, which demonstrate the application potential of the analysis method.

  • A numerical Model to evaluate formation properties through pressure-transient analysis with alternate polymer flooding
    Advances in Geo-Energy Research, 2019
    Co-Authors: Zhang Jia, Cheng Shiqing, Zhu Changyu, Le Luo
    Abstract:

    A numerical pressure transient analysis method of Composite Model with alternate polymer flooding is presented, which is demonstrated by field test data provided by China National Petroleum Corporation. Polymer concentration distribution and viscosity distribution are obtained on the basis of polymer rheological Model, considering shear effect, convection, diffusion, inaccessible pore volume and permeability reduction of polymer. Pressure analysis mathematical Model is established by considering wellbore storage effect and skin effect. Type curves are then developed from mathematical Model which have seven sections and parameter sensitivity is analyzed, among which the transient sections of low-concentration and high-concentration hydrolyzed polyacrylamides (HPAM) solution, high-concentration HPAM solution and crude oil show obvious concave shape on pressure derivative curve due to different viscosities of three zones. Formation parameters and viscosity distribution of polymer solution can be calculated by type-curve matching. The polymer flooding field tests prove that the three-zone Composite Model can reasonably calculate formation parameters in onshore oilfield with alternate polymer flooding, which demonstrate the application potential of the analysis method.Cited as: Zhang, J., Cheng, S., Zhu, C., Luo, L. A numerical Model to evaluate formation properties through pressure-transient analysis with alternate polymer flooding. Advances in Geo-Energy Research, 2019, 3(1): 94-103, doi: 10.26804/ager.2019.01.0

M.o. Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • a linear control of Composite Model for glucose insulin glucagon pump
    Ain Shams Engineering Journal, 2019
    Co-Authors: Muhammad Farman, Muhammad Umer Saleem, Muhammad Farhan Tabassum, Aqeel Ahmad, M.o. Ahmad
    Abstract:

    Abstract Presently Type 1 diabetes is global issue and challenges for diabetes public for healthy life. Fully automatic artificial pancreas is well solution for diabetic patients to avoid the hyperglycemia/hypoglycemia as it provided the insulin/glucose when needed. A Composite Model of Glucagon-Glucose Dynamics is treated for type 1 diabetes mellitus to check the linear controllability and observability of the Model and the stability analysis by using Lyapunov function. Two cases are discussed in system according to the input. For case I, Insulin as the input only and glucose as an output and in case II insulin and glucagon as an input and glucose as output only. A control system can only be used in the form of closed-loop control to stabilize the system. This may be show vital part in the progress of fully automatic artificial pancreas and stabilize the control loop system for the Glucose Insulin Glucagon pump.

  • controllability and observability of glucose insulin glucagon system in humans
    Chinese Journal of Physics, 2018
    Co-Authors: Muhammad Saleem, M.o. Ahmad, Muhammad Farman, Muhammad Rizwan, Aqeel Ahmad
    Abstract:

    Abstract Artificial pancreas is one of the solutions to control the type1 diabetes mellitus now days. Efforts are being made to develop the artificial pancreas. The controllability and observability of the glucose insulin glucagon dynamical Model is calculated which is the modified form of Composite Model of glucose insulin glucagon dynamics for type 1 diabetes mellitus is considered. The concept of controllability and observability for the linearized control system is used to design a feedback control. This Model completely describes the glucagon affects the safety of artificial pancreas to overcome the risk of hyperglycemia. Composite Model of glucagon-glucose dynamics and its extension is treated for type 1 diabetes mellitus to check the linear controllability and observability. Two cases are discussed on the basis of input of the system. For case I, insulin as the only input and glucose as an output and in case II insulin and glucagon as inputs and glucose as only output. The Model is observable but not controllable in each case. This may show vital part in the progress of fully automatic artificial pancreas and stabilize the control loop system for the glucose insulin glucagon (GIG) pump to control the type 1 diabetes mellitus.

Muhammad Farman - One of the best experts on this subject based on the ideXlab platform.

  • a linear control of Composite Model for glucose insulin glucagon pump
    Ain Shams Engineering Journal, 2019
    Co-Authors: Muhammad Farman, Muhammad Umer Saleem, Muhammad Farhan Tabassum, Aqeel Ahmad, M.o. Ahmad
    Abstract:

    Abstract Presently Type 1 diabetes is global issue and challenges for diabetes public for healthy life. Fully automatic artificial pancreas is well solution for diabetic patients to avoid the hyperglycemia/hypoglycemia as it provided the insulin/glucose when needed. A Composite Model of Glucagon-Glucose Dynamics is treated for type 1 diabetes mellitus to check the linear controllability and observability of the Model and the stability analysis by using Lyapunov function. Two cases are discussed in system according to the input. For case I, Insulin as the input only and glucose as an output and in case II insulin and glucagon as an input and glucose as output only. A control system can only be used in the form of closed-loop control to stabilize the system. This may be show vital part in the progress of fully automatic artificial pancreas and stabilize the control loop system for the Glucose Insulin Glucagon pump.

  • controllability and observability of glucose insulin glucagon system in humans
    Chinese Journal of Physics, 2018
    Co-Authors: Muhammad Saleem, M.o. Ahmad, Muhammad Farman, Muhammad Rizwan, Aqeel Ahmad
    Abstract:

    Abstract Artificial pancreas is one of the solutions to control the type1 diabetes mellitus now days. Efforts are being made to develop the artificial pancreas. The controllability and observability of the glucose insulin glucagon dynamical Model is calculated which is the modified form of Composite Model of glucose insulin glucagon dynamics for type 1 diabetes mellitus is considered. The concept of controllability and observability for the linearized control system is used to design a feedback control. This Model completely describes the glucagon affects the safety of artificial pancreas to overcome the risk of hyperglycemia. Composite Model of glucagon-glucose dynamics and its extension is treated for type 1 diabetes mellitus to check the linear controllability and observability. Two cases are discussed on the basis of input of the system. For case I, insulin as the only input and glucose as an output and in case II insulin and glucagon as inputs and glucose as only output. The Model is observable but not controllable in each case. This may show vital part in the progress of fully automatic artificial pancreas and stabilize the control loop system for the glucose insulin glucagon (GIG) pump to control the type 1 diabetes mellitus.

Aqeel Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • a linear control of Composite Model for glucose insulin glucagon pump
    Ain Shams Engineering Journal, 2019
    Co-Authors: Muhammad Farman, Muhammad Umer Saleem, Muhammad Farhan Tabassum, Aqeel Ahmad, M.o. Ahmad
    Abstract:

    Abstract Presently Type 1 diabetes is global issue and challenges for diabetes public for healthy life. Fully automatic artificial pancreas is well solution for diabetic patients to avoid the hyperglycemia/hypoglycemia as it provided the insulin/glucose when needed. A Composite Model of Glucagon-Glucose Dynamics is treated for type 1 diabetes mellitus to check the linear controllability and observability of the Model and the stability analysis by using Lyapunov function. Two cases are discussed in system according to the input. For case I, Insulin as the input only and glucose as an output and in case II insulin and glucagon as an input and glucose as output only. A control system can only be used in the form of closed-loop control to stabilize the system. This may be show vital part in the progress of fully automatic artificial pancreas and stabilize the control loop system for the Glucose Insulin Glucagon pump.

  • controllability and observability of glucose insulin glucagon system in humans
    Chinese Journal of Physics, 2018
    Co-Authors: Muhammad Saleem, M.o. Ahmad, Muhammad Farman, Muhammad Rizwan, Aqeel Ahmad
    Abstract:

    Abstract Artificial pancreas is one of the solutions to control the type1 diabetes mellitus now days. Efforts are being made to develop the artificial pancreas. The controllability and observability of the glucose insulin glucagon dynamical Model is calculated which is the modified form of Composite Model of glucose insulin glucagon dynamics for type 1 diabetes mellitus is considered. The concept of controllability and observability for the linearized control system is used to design a feedback control. This Model completely describes the glucagon affects the safety of artificial pancreas to overcome the risk of hyperglycemia. Composite Model of glucagon-glucose dynamics and its extension is treated for type 1 diabetes mellitus to check the linear controllability and observability. Two cases are discussed on the basis of input of the system. For case I, insulin as the only input and glucose as an output and in case II insulin and glucagon as inputs and glucose as only output. The Model is observable but not controllable in each case. This may show vital part in the progress of fully automatic artificial pancreas and stabilize the control loop system for the glucose insulin glucagon (GIG) pump to control the type 1 diabetes mellitus.