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Vols. 1- contain Judicial decisions Apr. 1, 1958- ; Formal opinions; Decisions of Motion Picture Commissioner; and Decisions of Textbook Commission.
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This volume links Cognitive Grammar explanations to the area of second-language learning and instructed grammar teaching. It represents a contribution to empirically based knowledge promoting a new perspective on the process of teaching and learning about English language structures. The theoretical part of the book provides an overview of the basic tenets of Cognitive Grammar, and discusses elements of the theory that are of crucial importance for understanding English tense and aspect structures. The second part brings together these two fields of study and tests a Cognitive Grammar approach to teaching tense and aspect to less advanced learners of English. To this end, an experimental study was conducted, comparing the effects of Cognitive Grammar-inspired instruction on the language learning process with those of teaching methods which employ more traditional grammatical descriptions. As such, the book is of particular relevance to Cognitive Grammar research, and second-language learning and teaching research, and for learners and teachers of a foreign language.
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. This third volume of the Transactions on Rough Sets presents 11 revised papers that have been through a careful peer reviewing process by the journal's Editorial Board. The research monograph "Time Complexity of Decision Trees" by Mikhail Ju. Moshkov is presented in the section on dissertation and monographs. Among the regular papers the one by Zdzislaw Pawlak entitled "Flow Graphs and Data Mining" deserves a special mention.