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The study of scientific articles, as the main genre of scientific productions and an important means of information exchange among the members of the scientific community, has received increasing attention during the past few decades. In scientific discourse study, textual structure and coherence require the writers to use various meta-discourse markers, including interactive and interactional meta-discourse markers, and their appropriate strategies. In the current research, the category of interactive meta-discourse marker based on Hyland's model is studied. We use a corpus-based approach to analyze Persian scientific research articles in the field of humanities and to find out the importance and role of interactive meta-discourse elements in Persian scientific papers.
For this purpose, we randomly select and analyze 800 abstracts of scientific research articles from 16 fields of humanities from the Comprehensive Portal of Humanities. Examining the data reveals the importance of the use of meta-discourse in the text in such a way that approximately one marker of interactive meta-discourse marker is found among every 15 words. Also, the analysis of the corpus indicates that frame markers are the most frequently used interactive meta-discourse marker in the corpus, and transition and code glosses are in the next rank with a little distance from frame markers. Endophoric and evidentials markers obtained the lowest frequency in the corpus. At the end, suggestions and corrections are provided to make Hyland’s concept more compatible with the discourse features of Persian scientific articles.

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The movement of  “Cognitive Semantics” appears against the independence of the syntax from lexical domain and calls into question the semantics being peripheral as it is mentioned in Chomsky's (1982) “Generative theory”. In this regard, Fillmore's (1982) “Frame Semantics theory” is one of the major achievements of cognitive semantics. In this theory Fillmore states that understanding the meanings of words is possible through frames that each word calls for. He also maintains that “Semantic Frames” display sections of an event used for connecting a group of words to a set of meanings and the meanings of words are perceived within a system of knowledge arising from the human's social and cultural experience. In fact, the difference between Frame Semantics with other lexico semantic hypotheses is its emphasis on the background knowledge based on which the meaning of words can be interpreted (Fillmore & Atkins, 1992, 1994, 2000; Fillmore & Baker, 2010). Also, the “FrameNet Project” is a Corpus-based study based on Fillmore's theory (Fillmore, et al., 2003). It is a lexicographic research project housed and administered at the International Computer Science Institute in Berkeley, California.  In this system, the meaning of words can be understood on the basis of semantic frames that are mental concepts. On the other hand, verbs are present as the most important element in most of the situations of an event and play significant role in the interpretation of the meaning; thus, working on it is a useful idea.
        The purpose of this study is to present a quantitative and corpus-based analysis in order to recognize the semantic domains and frames of the verb “Goftan” (to Tell) in Persian and sketch its main frame within the framework of Frame Semantics theory and the fact-finding model of FrameNet lexicography. In fact, it attempts to investigate what Fillmore and his colleagues did in English FrameNet and others in different languages as well as in the domain of Frame Semantics to be considered in Persian too. So, the main questions of this study are:

• What are the semantic domains and frames of the verb “Goftan” (to Tell) in Persian based on the major concepts of Frame Semantics theory and FrameNet?
•  Is it possible to design the main semantic frame of the verb “Goftan” (to Tell) in Persian?

To answer these questions, the authors investigate the background of studies and introduce Frame semantics theory and FrameNet lexicography. Then, they tried to be familiar with the verb “Goftan” and it’s frequency in Persian based on Persian Language Database (PLDB). To this end, 44 semantic domains and frames of the verb “Goftan” were recognized using encyclopedias, Persian contemporary corpora and FrameNet database. Then, the concept of “bar zabân Ɂâvardan va bayân kardan” (to express) was determined as the main meaning and prototype of this verb and for the first time its “Radial category” the authors sketched. Finally, the main frame of “Goftan” was created using principles and concepts proposed in Fillmore's Frame Semantics theory

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One of the main issues associated with application of laminated composites in industrial applications is their brittle-type behavior under impact loading. The low velocity impact may lead to crucial internal damages without being detectable by visual inspection and can significantly reduce the strength of laminated composites. The main purpose of this research is to characterize the damage mechanisms in laminated composites under low velocity impact tests. For this purpose, a quasi-static test was first utilized out to achieve initial information about impact tests. Low velocity impact tests were then employed for unidirectional glass/epoxy composite specimens, and Acoustic Emission (AE) signals were acquired during impact events. Next, AE signals were examined using wavelet approach to discriminate released energy related to each distinct damage mechanism. Besides, a method was obtained to estimate threshold impact energy from the quasi-static test, beyond which damage meaningfully extends. As a final point, the AE based approach using wavelet transform methodology was suggested to forecast the total damage area. Finally, it was figured out that this AE method can be a reliable approach in damage evaluation under impact loads in composite structures.