Fostering civility and politeness awareness in professional discourse: Critical genre analysis of course books in professional communication

2020 ◽  
Vol 16 (2) ◽  
pp. 305-329
Author(s):  
Alcina Pereira de Sousa

AbstractThis paper aims to analyse a set of communicative events within the service encounter genre in tourism and leisure interdiscursive domains as displayed in course books on professional communication in English (commonly pointing to ESP). These supposedly replicate interaction in real life settings. Therefore, it is relevant to uncover the ways authentic interactions can be interpreted in the pedagogical setting of workplace conversation from a discursive and pragmatic perspective. More specifically, this empirical and exploratory study discusses ways of improving rapport management skills in interpersonal and intercultural communication, in general, and in professional interaction, in particular, in a selection of excerpts on greeting / asking for info exchanges. The study uncovers participants’ possible co-constructions of civility and politeness strategies in naturally occurring classroom discourse supported by course materials in English for glocal communication across segments in the tourism domain as object of this study.

Kerntechnik ◽  
2008 ◽  
Vol 73 (3) ◽  
pp. 118-121
Author(s):  
T. Heinrich ◽  
L. Funke ◽  
M. Köhler ◽  
U.-K. Schkade ◽  
F. Ullrich ◽  
...  

Author(s):  
Sayan Surya Shaw ◽  
Shameem Ahmed ◽  
Samir Malakar ◽  
Laura Garcia-Hernandez ◽  
Ajith Abraham ◽  
...  

AbstractMany real-life datasets are imbalanced in nature, which implies that the number of samples present in one class (minority class) is exceptionally less compared to the number of samples found in the other class (majority class). Hence, if we directly fit these datasets to a standard classifier for training, then it often overlooks the minority class samples while estimating class separating hyperplane(s) and as a result of that it missclassifies the minority class samples. To solve this problem, over the years, many researchers have followed different approaches. However the selection of the true representative samples from the majority class is still considered as an open research problem. A better solution for this problem would be helpful in many applications like fraud detection, disease prediction and text classification. Also, the recent studies show that it needs not only analyzing disproportion between classes, but also other difficulties rooted in the nature of different data and thereby it needs more flexible, self-adaptable, computationally efficient and real-time method for selection of majority class samples without loosing much of important data from it. Keeping this fact in mind, we have proposed a hybrid model constituting Particle Swarm Optimization (PSO), a popular swarm intelligence-based meta-heuristic algorithm, and Ring Theory (RT)-based Evolutionary Algorithm (RTEA), a recently proposed physics-based meta-heuristic algorithm. We have named the algorithm as RT-based PSO or in short RTPSO. RTPSO can select the most representative samples from the majority class as it takes advantage of the efficient exploration and the exploitation phases of its parent algorithms for strengthening the search process. We have used AdaBoost classifier to observe the final classification results of our model. The effectiveness of our proposed method has been evaluated on 15 standard real-life datasets having low to extreme imbalance ratio. The performance of the RTPSO has been compared with PSO, RTEA and other standard undersampling methods. The obtained results demonstrate the superiority of RTPSO over state-of-the-art class imbalance problem-solvers considered here for comparison. The source code of this work is available in https://github.com/Sayansurya/RTPSO_Class_imbalance.


Author(s):  
Svetlana S. Andreeva

The work discusses the problem of teaching students of civil engineering departments English-language civil engineering discourse, in particular, communicative tactics of this type of discourse. We substantiate the need to form students’ skills in using the communicative tactics applied in civil engineering discourse in professional communication. We give an overview of com-municative tactics of written discourse used by the authors of English-language documentation in civil engineering professional field. The purpose of the study is to determine the level of students’ skills in using communicative tactics in a foreign language professional written speech. Theoretical and practical research showed that in a modern technical university, insufficient attention is paid to teaching students this component of professional discourse. At the same time, the level of students’ skills to use communicative tactics in professional communication is quite low, which led us to the conclusion that it is of paramount importance to include this component in the pro-gram of teaching a foreign language in a professional field. The results of the will serve as the ba-sis for the development of a methodic model of teaching civil engineering students the communic-ative tactics of professional civil engineering discourse.


Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2339 ◽  
Author(s):  
Cristian Ramirez-Atencia ◽  
David Camacho

Unmanned Aerial Vehicles (UAVs) have become very popular in the last decade due to some advantages such as strong terrain adaptation, low cost, zero casualties, and so on. One of the most interesting advances in this field is the automation of mission planning (task allocation) and real-time replanning, which are highly useful to increase the autonomy of the vehicle and reduce the operator workload. These automated mission planning and replanning systems require a Human Computer Interface (HCI) that facilitates the visualization and selection of plans that will be executed by the vehicles. In addition, most missions should be assessed before their real-life execution. This paper extends QGroundControl, an open-source simulation environment for flight control of multiple vehicles, by adding a mission designer that permits the operator to build complex missions with tasks and other scenario items; an interface for automated mission planning and replanning, which works as a test bed for different algorithms, and a Decision Support System (DSS) that helps the operator in the selection of the plan. In this work, a complete guide of these systems and some practical use cases are provided


Author(s):  
Olga B. Burdina ◽  
◽  
Olga G. Olekhnovich ◽  

The research deals with the issue of terms and their functioning in professional discourse. According to the cognitive and discourse approach, a term is regarded as a representative of knowledge which participates in the processes of receiving, processing, storing and transmitting information about the world and human activity. The purpose of the research is to investigate the linguistic characteristics of terms belonging to the pharmaceutical terminology system at different stages of its development. The article contains analysis of two sets of terms introduced during two historical periods: at the stage of formation of the terminology system (17th century) and at the modern stage (since the beginning of the 21st century). Each of the stages is represented by its own type of terminologization. The research material is composed of Latin/Latinized and Russian terms with the meaning ‘dosage form’ found in pharmaceutical documents (handwritten recipes of the 17th century from the Russian State Archive of Ancient Acts; State Pharmacopoeias of the Russian Federation). The first part of the study describes the thematic group ‘names of dosage forms’ of the 17th century. Latin and corresponding Russian terms and nomenclature names formed on their basis are analyzed in this part. The reason for the presence of variations within the terminology group is studied. In the second part of the paper, the linguistic and extralinguistic reasons for the transformation of this group of terminological units are studied, the productivity of new models for the denomination of dosage forms is analyzed. Methodologically, the study is based on the comparative, structural, etymological methods of analysis, the expert method (used when selecting terms from the collection of pharmaceutical texts) and terminological modeling. The authors came to the following conclusions: being an instrument of language of professional communication, a term expresses a special concept and develops in the process of functioning; due to its dynamic nature, a term develops in discourse and forms new connections within the terminology system of the professional discourse (pharmacy, in the case of our study); on the other hand, the development of the terminology system contributes to the process of ordering terminology.


2021 ◽  
Vol 15 ◽  
Author(s):  
Tianyu Liu ◽  
Zhixiong Xu ◽  
Lei Cao ◽  
Guowei Tan

Hybrid-modality brain-computer Interfaces (BCIs), which combine motor imagery (MI) bio-signals and steady-state visual evoked potentials (SSVEPs), has attracted wide attention in the research field of neural engineering. The number of channels should be as small as possible for real-life applications. However, most of recent works about channel selection only focus on either the performance of classification task or the effectiveness of device control. Few works conduct channel selection for MI and SSVEP classification tasks simultaneously. In this paper, a multitasking-based multiobjective evolutionary algorithm (EMMOA) was proposed to select appropriate channels for these two classification tasks at the same time. Moreover, a two-stage framework was introduced to balance the number of selected channels and the classification accuracy in the proposed algorithm. The experimental results verified the feasibility of multiobjective optimization methodology for channel selection of hybrid BCI tasks.


2014 ◽  
Vol 8 (2) ◽  
pp. 51-59
Author(s):  
Talya Gilat ◽  
Miriam Amit

The aim of this paper is to show how engaging students in real-life mathematical situations can stimulate their mathematical creative thinking. We analyzed the mathematical modeling of two girls, aged 10 and 13 years, as they worked on an authentic task involving the selection of a track team. The girls displayed several modeling cycles that revealed their thinking processes, as well as cognitive and affective features that may serve as the foundation for a methodology that uses model-eliciting activities to promote the mathematical creative process.Exploración de la creatividad de jóvenes estudiantes: el efecto de actividades que suscitan modelosEl objetivo de este artículo es mostrar cómo involucrar a los estudiantes en situaciones matemáticas de la vida real puede estimular su pensamiento matemático creativo. Analizamos la modelización matemática de dos chicas, de 10 y 13 años, cuando trabajaban en una tarea auténtica que involucraba la selección de un equipo de atletismo. Las chicas mostraron varios ciclos de modelización que revelaron sus procesos de pensamiento, así como las características cognitivas y afectivas que pueden servir como fundamento para una metodología que usa actividades que suscitan modelos para promover los procesos matemáticos creativos.Handle: http://hdl.handle.net/10481/29578Nº de citas en SCOPUS (2017): 1 (Citas de 2º orden, 0)


Perception ◽  
2017 ◽  
Vol 46 (9) ◽  
pp. 1077-1089 ◽  
Author(s):  
Kathleen Kang ◽  
Laura Anthoney ◽  
Peter Mitchell

Being able to recognize facial expressions of basic emotions is of great importance to social development. However, we still know surprisingly little about children’s developing ability to interpret emotions that are expressed dynamically, naturally, and subtly, despite real-life expressions having such appearance in the vast majority of cases. The current research employs a new technique of capturing dynamic, subtly expressed natural emotional displays (happy, sad, angry, shocked, and disgusted). Children aged 7, 9, and 11 years (and adults) were systematically able to discriminate each emotional display from alternatives in a five-way choice. Children were most accurate in identifying the expression of happiness and were also relatively accurate in identifying the expression of sadness; they were far less accurate than adults in identifying shocked and disgusted. Children who performed well academically also tended to be the most accurate in recognizing expressions, and this relationship maintained independently of chronological age. Generally, the findings testify to a well-developed ability to recognize very subtle naturally occurring expressions of emotions.


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