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Article
A New A Posteriori Error Estimates for Optimal Control Problems Governed by Parabolic Integro-Differential Equations
In this paper, we provide a new a posteriori error analysis for linear finite element approximation of a parabolic integro-differential optimal control problem. The state and co-state are approximated by piece...
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Article
A Priori Error Estimates of \(P_0^2{-}P_1\) Mixed Finite Element Methods for a Class of Nonlinear Parabolic Equations
In this paper, we consider \(P_0^2{-}P_1\) mixed finite element approximations of a class of nonlinear parabolic equa...
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Chapter and Conference Paper
LES of a Turbulent Partially-Premixed Flame Near Extinction Based on REDIM-PFDF Model
In recent years, turbulent partially-premixed flame with inhomogeneous inlets has drawn the attention of combustion community because of better flame stability near jet exit plane and its application in the pr...
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Article
Two-Grid Methods for a New Mixed Finite Element Approximation of Semilinear Parabolic Integro-Differential Equations
In this paper, we present a two-grid scheme for a semilinear parabolic integro-differential equation using a new mixed finite element method. The gradient for the method belongs to the square integrable space ...
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Article
Erratum to: Mixed Methods for Optimal Control Problems
Page 268 (and Contents), the title should read as follows:
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Article
Mixed Methods for Optimal Control Problems
In this paper, we investigate a posteriori error estimates of amixed finite elementmethod for elliptic optimal control problems with an integral constraint. The gradient for ourmethod belongs to the square int...
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Article
Discrete maximum-norm stability of a linearized second-order finite difference scheme for Allen–Cahn equation
In this paper, we use finite difference methods for solving the Allen–Cahn equation that contains small perturbation parameters and strong nonlinearity. We consider a linearized second-order three-level scheme...
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Article
Clinical characteristics and surgical outcome of thoracic myelopathy caused by ossification of the ligamentum flavum: a retrospective analysis of 85 cases
A retrospective comparative study.
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Article
Open AccessDihydroartemisinin attenuates lipopolysaccharide-induced osteoclastogenesis and bone loss via the mitochondria-dependent apoptosis pathway
Dihydroartemisinin (DHA) is a widely used antimalarial drug isolated from the plant Artemisia annua. Recent studies suggested that DHA has antitumor effects utilizing its reactive oxygen species (ROS) yielding me...
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Open AccessMicroRNA-196a promotes cervical cancer proliferation through the regulation of FOXO1 and p27Kip1
The phosphoinositide 3-kinase (PI3K)/Akt signalling pathway appears to be a key regulator in cervical carcinogenesis. However, the downstream regulatory mechanism of PI3K/Akt signalling remains largely unknown.
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Superconvergence and a posteriori error estimates of RT1 mixed methods for elliptic control problems with an integral constraint
In this paper, we investigate the superconvergence property and a posteriori error estimates of mixed finite element methods for a linear elliptic control problem with an integral constraint. The state and co-...
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Article
Direct shoot regeneration from Arabidopsis thaliana shoot apical meristems
In Arabidopsis thaliana in vitro culture, shoots were induced from the shoot apical meristem (SAM) of germinating seeds in the presence of 2,4-dichlorophenoxyacetic acid. Primary shoot primordia developed leaf-li...
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Article
Error estimates and superconvergence of semidiscrete mixed methods for optimal control problems governed by hyperbolic equations
In this paper, we investigate the L ∞(L 2)-error estimates and superconvergence of the semidiscrete mixed finite elementmethods for quadratic optimal control proble...
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Article
Multiscale simulations of porous media flows in flow-based coordinate system
In this paper, we propose a multiscale technique for the simulation of porous media flows in a flow-based coordinate system. A flow-based coordinate system allows us to simplify the scale interaction and deriv...
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Chapter and Conference Paper
An Intelligent Signal Recognition System
An automatic control system has to monitor and identify an environment status for decision making. Current pattern recognition algorithms assuming a Gaussian distribution in pattern data do not work very well ...
