This review discusses Nezakat-Alhossaini, Youhanaee, and Moinzadeh＇s research study entitled ＂Impact of Explicit Instruction on EFL Learners＇ Implicit and Explicit Knowledge： A Case of English Relative Clauses.＂ ...This review discusses Nezakat-Alhossaini, Youhanaee, and Moinzadeh＇s research study entitled ＂Impact of Explicit Instruction on EFL Learners＇ Implicit and Explicit Knowledge： A Case of English Relative Clauses.＂ This study was chosen for evaluation because it strives to attach significance to explicit instruction in L2 acquisition, unlike other more recent research, which seeks to reinforce implicit instruction as it is viewed as the idealistic goal of language learning （Rebuschat ＆ William, 2009）. The present review will be developed by means of an evaluation of Alhossaini and her colleagues＇ study, consisting of a concise summary of the study, a classification of the philosophical perspective, the selection of criteria, and the strengths and weaknesses of the study. In this review, I hope that I succeed to broadly navigate the research enterprise, commencing with the philosophical perspective of research, such as the epistemological and ontological stances shaping the philosophical perspective and then colouring the research. By reviewing this study, I would also hope that I successfully evaluate the research quality by using appropriate criteria in an attempt to suggest potential directions for further research （under strengths and weaknesses of the study）.展开更多
Wireless sensor networks have several special characteristics which make against the network coverage, such as shortage of energy, difficulty with energy supply and so on. In order to prolong the lifetime of wireless ...Wireless sensor networks have several special characteristics which make against the network coverage, such as shortage of energy, difficulty with energy supply and so on. In order to prolong the lifetime of wireless sensor networks, it is necessary to balance the whole network load. As the energy consumption is related to the situation of nodes, the distribution uniformity must be considered. In this paper, a new model is proposed to evaluate the nodes distribution uniformity by considering some parameters which include compression discrepancy, sparseness discrepancy, self discrepancy, maximum cavity radius and minimum cavity radius. The simulation results show that the presented model could be helpful for measuring the distribution uniformity of nodes scattered randomly in wireless sensor networks.展开更多
文摘This review discusses Nezakat-Alhossaini, Youhanaee, and Moinzadeh＇s research study entitled ＂Impact of Explicit Instruction on EFL Learners＇ Implicit and Explicit Knowledge： A Case of English Relative Clauses.＂ This study was chosen for evaluation because it strives to attach significance to explicit instruction in L2 acquisition, unlike other more recent research, which seeks to reinforce implicit instruction as it is viewed as the idealistic goal of language learning （Rebuschat ＆ William, 2009）. The present review will be developed by means of an evaluation of Alhossaini and her colleagues＇ study, consisting of a concise summary of the study, a classification of the philosophical perspective, the selection of criteria, and the strengths and weaknesses of the study. In this review, I hope that I succeed to broadly navigate the research enterprise, commencing with the philosophical perspective of research, such as the epistemological and ontological stances shaping the philosophical perspective and then colouring the research. By reviewing this study, I would also hope that I successfully evaluate the research quality by using appropriate criteria in an attempt to suggest potential directions for further research （under strengths and weaknesses of the study）.
基金Supported by the National Natural Science Foundation of China （No. 60572035）
文摘Wireless sensor networks have several special characteristics which make against the network coverage, such as shortage of energy, difficulty with energy supply and so on. In order to prolong the lifetime of wireless sensor networks, it is necessary to balance the whole network load. As the energy consumption is related to the situation of nodes, the distribution uniformity must be considered. In this paper, a new model is proposed to evaluate the nodes distribution uniformity by considering some parameters which include compression discrepancy, sparseness discrepancy, self discrepancy, maximum cavity radius and minimum cavity radius. The simulation results show that the presented model could be helpful for measuring the distribution uniformity of nodes scattered randomly in wireless sensor networks.
