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81.
82.
Action research is geared to changes for the better and has the potential to assist teachers to extend their teaching skills and develop a deeper understanding of themselves, their classroom and their learners. However, in the area of applied linguistics, the viability of action research has been seriously questioned. In this article, we argue that adopting a complexity‐theory perspective, which requires teachers to be dynamic and complex in their approach, helps in identifying action research as a suitable research tradition for investigating second‐language classrooms and in turn using it widely to invigorate the field of applied linguistics. Our argumentation is supported by the fundamental links between action research and complexity theory as an emerging paradigm in education. Although the case made in this article concerns second‐language classrooms, the conclusions reached may well apply to any classroom that shares some commonalities with second‐language classrooms. 相似文献
83.
An extended discrete particle swarm optimization algorithm for the dynamic facility layout problem 总被引:2,自引:0,他引:2
Hassan Rezazadeh Mehdi Ghazanfari Mohammad Saidi-Mehrabad Seyed Jafar Sadjadi 《浙江大学学报(A卷英文版)》2009,10(4):520-529
We extended an improved version of the discrete particle swarm optimization (DPSO) algorithm proposed by Liao et al.(2007) to solve the dynamic facility layout problem (DFLP). A computational study was performed with the existing heuristic algorithms, including the dynamic programming (DP), genetic algorithm (GA), simulated annealing (SA), hybrid ant system (HAS), hybrid simulated annealing (SA-EG), hybrid genetic algorithms (NLGA and CONGA). The proposed DPSO algorithm, SA, HAS, GA, DP, SA-EG, NLGA, and CONGA obtained the best solutions for 33, 24, 20, 10, 12, 20, 5, and 2 of the 48 problems from (Balakrishnan and Cheng, 2000), respectively. These results show that the DPSO is very effective in dealing with the DFLP. The extended DPSO also has very good computational efficiency when the problem size increases. 相似文献
84.
Abdoljalal Marjani Aman Mohammad Gharanjik 《Indian journal of clinical biochemistry : IJCB》2018,33(2):208-213
Cytochrome P450 2C9 (CYP2C9) is involved in metabolism of many important drugs and its genotype variations is thought to affect drug efficacy and the treatment process. The aim of this study was to assess the distribution of CYP2C9 allele and genotypic variants in Sistani ethnic group, living in Gorgan, South East of Caspian Sea and North East of Iran. This study included 140 Sistani, referred to the health center of Gorgan. CYP2C9 genotyping was carried out by polymerase chain reaction–restriction fragment length polymorphism technique. The allele frequency of CYP2C9*1, CYP2C9*2 and CYP2C9*3 was 76.1, 16.1 and 7.8%, respectively. The frequency of CYP2C9*1/*1, CYP2C9*1/*2, CYP2C9*1/*3, CYP2C9*2/*2, CYP2C9*2/*3 and CYP2C9*3/*3 genotypes was 53.9, 22.1, 11.4, 2.9, 4.3% and nil, respectively. In this study the genotypic variations of the CYP2C9 allele among the Sistani ethnic group was investigated and great differences were observed in comparison to other populations. Our findings suggest that different genotypes of CYP2C9 may influence the pharmacokinetics of some drugs. More studies on the pharmacokinetic effects of CYP2C9 genotypes may help physicians choose optimal dosage of some drugs for treatment and prevention of their side effects. Since different ethnic groups from all over the world use medications, it suggests to investigate the pharmacokinetic effects of CYP2C9 genotypes in different populations. 相似文献
85.
A. Aziz Khater Ahmad M. El-Nagar Mohammad El-Bardini Nabila M. El-Rabaie 《Journal of The Franklin Institute》2018,355(14):6390-6415
In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy controller based on reinforcement learning for controlling the nonlinear dynamical systems is proposed. The parameters of the T–S fuzzy system are learned using the reinforcement learning based on the actor-critic method. This on-line learning algorithm improves the controller performance over the time, which it learns from its own faults through the reinforcement signal from the external environment and tries to reinforce the T–S fuzzy system parameters to converge. The updating parameters are developed using the Lyapunov stability criterion. The proposed controller is faster in learning than the T–S fuzzy that parameters learned using the gradient descent method under the same conditions. Moreover, it is able to handle the load changes and the system uncertainties. The test is carried out based on two mathematical models. In addition, the proposed controller is applied practically for controlling a direct current (DC) shunt machine. The results indicate that the response of the proposed controller has a good performance compared with other controllers. 相似文献
86.
Sayyed Mohammad Hoseini 《Journal of The Franklin Institute》2018,355(16):7895-7923
An adaptive numerical method for solving multi-delay optimal control problems with piecewise constant delay functions is introduced. The proposed method is based on composite pseudospectral method using the well-known Legendre–Gauss–Lobatto points. In this approach, the main problem converts to a mathematical optimization problem whose solution is much more easier than the original one. The necessary conditions of optimality associated to nonlinear piecewise constant delay systems are derived. The method is easy to implement and provides very accurate results. 相似文献
87.
Omar Shaheen Ahmad M. El-Nagar Mohammad El-Bardini Nabila M. El-Rabaie 《Journal of The Franklin Institute》2018,355(3):1088-1106
This paper proposes a probabilistic fuzzy proportional - integral (PFPI) controller for controlling uncertain nonlinear systems. Firstly, the probabilistic fuzzy logic system (PFLS) improves the capability of the ordinary fuzzy logic system (FLS) to overcome various uncertainties in the controlled dynamical systems by integrating the probability method into the fuzzy logic system. Moreover, the input/output relationship for the proposed PFPI controller is derived. The resulting structure is equivalent to nonlinear PI controller and the equivalent gains for the proposed PFPI controller are a nonlinear function of input variables. These gains are changed as the input variables changed. The sufficient conditions for the proposed PFPI controller, which achieve the bounded-input bounded-output (BIBO) stability are obtained based on the small gain theorem. Finally, the obtained results indicate that the PFPI controller is able to reduce the effect of the system uncertainties compared with the fuzzy PI (FPI) controller. 相似文献
88.
In this paper, a method is proposed to reject disturbances in the model predictive control (MPC) strategy. In addition, uncertainties in the system parameters (i.e., internal disturbances) are considered as well. To achieve these goals, adaptive neural networks are designed as the predictor model and as the nonlinear disturbance observer, respectively. The disturbances are rejected via the optimization problem of the MPC. Stability of the closed-loop system is studied based on the Input-to-State Stability method. The proposed method is applied to the pH neutralization process and CSTR system and its effectiveness in optimal rejection of the disturbances and satisfying the system constrains is compared with the feed-forward control method. 相似文献
89.
This paper addresses the issue of how games can reshape education by describing current educational practices. It argues that there are conservative camps that emphasize structure and development of basic literacy and numeracy skills in education as well as liberal camps that emphasize immersion, and notices that both camps fail to train students able to address the crisis of innovation. A post-progressive pedagogy that integrates both structure and immersion to address this innovation crisis is described in the paper. It is also emphasized that epistemic games can serve as excellent tools at the hand of this post-progressive pedagogy. 相似文献
90.
Azim Akbarzadeh Dariush Norouzian Ali Farhangi Mohammad Reza Mehrabi Shirin Jamshidi Davood Zare Morvarid Shafiei 《Indian journal of clinical biochemistry : IJCB》2008,23(1):57-61
Flow cytometry has been employed as a method to study homogeneity of isolated islet subpopulations. After collagenase digestion
of rat pancreas and elutriation of tissue fragments, islets were isolated and dissociated, and cells were analyzed and sorted
according to their low forward angle light scattering properties by using automated flow cytometry. A standardized procedure
was developed for the preparation of rat islet cell grafts for purification of islet cells. In this process, after collagenase
digestion of pancreas, islets were isolated, dissociated, identification by dithizone method and then with enzymatic procedure
by DNase and trypsin, the islet cells changed into single cells and beta cells were identified by immunofluorescence method
and then assayed by flow cytometry. Methods have been developed for the preparation of suspension of viable rat pancreatic
islet cells and their analysis and sorting in the fluorescence activated cell sorter (FACC IV, Becton Dickinson, Sunnyvale,
Ca). Flow cytometry of these cells indicated that there were 91% of beta cells in cell suspension. Most of the exocrine particles
were lost during digestion. Purified endocrine islet cell grafts were prepared by pure beta-cells, without endocrine non-beta
cells. The purified aggregates were devoid of endocrine non-beta cells and damaged cells. 相似文献