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The present study was aimed at exploring the use of pronominal reference for identity representation in terms of power and solidarity in English political discourse. The investigation was based on a corpus of four political interviews and debates amounting 26,500 words. The analysis was both qualitative and quantitative. In the qualitative analysis, a discourse-analytic approach was used to find out the pronouns, their references and their identity load, and in the quantitative analysis, the distribution of different representations of identity were calculated. A nonparametric test, that is, Chi-Square was run in SPSS as the statistical operation needed for the current study. The analysis showed that most of the personal pronouns represented identity in the form of solidarity. The results also showed that political figures use <em>I</em>-pronoun and its variants to represent their identity in terms of power. The representation of identity in terms of power was also found to be correlated with the use of certain terms such as <em>veto</em> and active voice constructions. Furthermore, the results showed that when making claims, instead of giving pronominal reference to self, political figures use first-person plurals. In order to show solidarity, the speakers may also make use of discoursal proximity. Considering the important role that discourses play in constructing reality, it is important for CDA researchers to reveal sources of power, inequality and prejudice in discourses and interpret their hidden meanings. Pronominal choice and academic voice as linguistic constructions that are ideologically loaded need to be brought into the spotlight.

Languages as living and dynamic structured systems were influenced at the very first moments of the COVID-19 pandemic as they became medicalized by the use and practice of various jargons and technical terms. Meanwhile, homebound individuals around the world started to create a COVID-19 pandemic-related lexical-overload of neologisms (Coroneologisms or Corona coinages) in different languages which started to spread across the globe by mass media, and some of them even entered the official databases of the well-known dictionaries and Wikipedia corpora. This study was a scrutinized attempt to explore the English vs. Persian (Farsi) Coroneologisms across various Extensible Markup Language (XML) corpora and a huge body of E-resource discourses (websites, social media, and news channels and forums) based on embedded mixed-method design to provide a comprehensive insight into their types, structures, and meanings. To provide a better understanding of how and why particular Coroneologisms were created in terms of social, cultural, or political contributing factors, they were investigated based on the reflections of a series of sociolinguistic focus-group E-interviews with 184 volunteer English and Persian native speakers. This study might provide implications for sociolinguistics, corpus-based language studies, lexicographers, designers of corpora, etymologists, and discourse analysts in English and Persian.

The present study aimed to investigate whether Reports on the results and Comments on the results moves’ recycling in the Research Article (RA) Discussion sections is affected by cultural/disciplinary variations. To this end, 600 empirical RAs in six Soft Science disciplines, including Economics, Sociology, Applied Linguistics, Linguistics, Management, and Psychology, with an equal number in each discipline and culture, published in the period from 2006 to 2018 were selected. Weissberg and Buker’s (1990) move model was used as a starting point to analyze the RAs. First, the Reports on the results and Comments on the results moves were identified in the Results sections. The Chi-Square test was then used to calculate and compare the frequency of their recycling in the Discussion sections across cultures and disciplines. The data analysis results revealed that changes in the disciplines or sociocultural settings do not result in variations in recycling the two moves under study. Given that the current study provides a relatively new framework for scrutinizing scientific discourse, it may promise certain pedagogical implications for native and non-native students in Soft Science disciplines, researchers, English for Academic Purposes (EAP) and English for Specific Purposes (ESP) instructors, and course designers.

The current research examined the use of lexical bundles in the result sections of research papers by Iranian non-native writers in the field of applied linguistics. The WordSmith Software was applied to identify lexical bundles. In addition, the two analytical frameworks Biber et al. (2004) and Ruiying and Allison (2003) were used to categorize the bundles with regard to their structural features and their moves and steps. Moreover, with the aid of concordance, the identified clusters were analyzed and categorized according to their communicative functions. The results of the current research showed that Iranian writers relied heavily on the use of specific formulaic bundles to perform the communicative functions associated with the moves and steps. The findings also revealed that four moves out of six moves were mostly used by Iranian authors. Moreover, the researchers found that the extensive range of formulaic clusters used to demonstrate Move 2, Reporting results, the least bundles occurred in Move 4, Summarizing results, and also no clusters were used in Move 5, Evaluating the study along with Move 6, Deductions from the research by Iranian writers. The findings of this study boost the awareness of formulaic sequences usage for novice writers in particular discourse and communicative function.

The impetus behind the current study was to get the best use of all possible pathways of the learner’s brain. Multiple-pathway model, one model of brain-based instruction, on which the current study was based, has synergic effect addressing sensory-motor, emotion, reward, attention, memory, language, frontal lobe (executive function), and social pathways of the learner’s brain altogether. To this aim, this quasi-experimental research, with pretest-intervention-posttest design, was carried out. The participants, who were selected through a convenient sampling method, included 30 BA University students studying TEFL at Islamic Azad University, Aliabad Katoul Branch, and 30 BA University students studying TEFL at Islamic Azad University, Gorgan Branch, were placed into two experimental and control groups, respectively. The instrumentation included DASS 21 and Learning Climate Questionnaires (LCQ) which were used as the pretest and posttest prior to and after the 10 session intervention of brain-based instruction for the experimental group. Descriptive and inferential analysis of collected data indicated the significant impact of the instruction on the participants’ stress, anxiety, depression, and perceived supportive learning climate in the experimental group.

This study set out to check the addressing behavior within men’s and women’s talk in the written conversations in English language textbook series titled ‘New Interchange book’ by Richards, Hull and Proctor, (1998) from Cambridge University Press. In line with this aim, the present researchers initially prepared descriptive tables for both formal and informal contexts in three theme categories (Social, Cultural & Economic) vis a vis four case appropriations (men*men, men*women, women*men, women*women). The distributions of interlocutors were coded through content analysis techniques. The major findings indicated that the highest percentage of detected address terms belonged to pronouns (67.7%). The proportions for gender appropriations between interlocutors for this address term showed that the case condition with women to men (52.3%) and men to women (36.4%) had the highest rates as compared with other cases. Then, in the final stage, the datasets were scrutinized in terms of theories on gender disparity in the instructional materials. This paper has some pedagogical implications in terms of addressing term inequality as mapped on gender status within ELT books, which might indirectly change the balance against full and rich contexts for effective learning to occur.

Psychophysiological studies and MRI neuro-imaging findings provide evidence that heart rate variability (HRV) which is in control of our emotions affects our brain cognitive centers. It has been shown that coherent heart-brain interaction can change the pattern of the afferent cardiac input that is sent to the brain. For this purpose, the Institute of HeartMath (IHM) has proposed a kind of biofeedback training, the TestEdge program, which self-regulates negative emotional learning impediments by increasing HRV measures. It leads to an optimal self-generated psychophysiological state that has an important role in cognitive development through autonomic nervous system dynamics. In the present study, through using IHM self-regulated techniques and tools, the TestEdge program was performed on 63 Iranian EFL learners. In particular, the main purpose of this study was to investigate the effects of HRV measures on reading comprehension performance. The data was measured and recorded by emWave Desktop device. The results confirmed that the intentional heart-focus techniques led to a beneficial mode of psychophysiological coherence of heart-brain interaction. The results indicated significant differences among EFL students with different levels of high, mid, and low coherence and their reading performance.

English is taught all over the world either as a foreign or second language. It is taught as a foreign language in the Iranian educational system as well. However, it has always been the issue that EFL programs have been developed without conducting a systematic needs analysis from the learners’ perspective. The present study examined the effect of employing critical needs analysis on the learners' speaking skills improvement. To this end, 128 Iranian intermediate learners from three language institutes were selected and assigned to two experimental and control groups. The learners' Necessities, Wants and Lacks through a questionnaire and semi-structured interview were investigated. The experimental group received treatment based on the results of the interview and questionnaire. The results of the inferential statistics showed that the students' highest mean score was in the Necessities sub-dimension, followed by the Lacks, and Wants sub-dimensions which revealed that the students' needs were mostly the items which were necessary for the learners' use of language. In contrast, the control group received treatment based on the pre-determined syllabus of the course. The results of an independent sample t-test indicated that in the post-test, the speaking scores of the participants in the experimental group were significantly higher than the scores in the control group.