scholarly journals Translation Practice – A Means for Enhancing Student Employability

Dialogos ◽  
2021 ◽  
Vol 38/2021 ◽  
Author(s):  
Viorela-Valentina DIMA

Recent studies on employers’ expectations regarding the language skills of their employees, as well as the language-related tasks the latter are expected to perform, show that translation activities are essential for everyday business operations. With this in mind, the paper aims to explore the benefits of using translation activities in developing ESP learners’ language skills, as well as domain-specific knowledge, so as to meet the demands on the labour market. The case study describes the following steps: student exposure to minimal training in translation steps and strategies, classroom practice on excerpts from economic articles, home translations of full-length economic articles. Feedback exchange on classwork and homework points to the relevance of such activities embedded in Business English lessons: on the one hand, students increase their awareness of language and employabilityrelated aspects; on the other hand, the teacher identifies best practice examples, apart from needs regarding remedial work.

2002 ◽  
Vol 25 (6) ◽  
pp. 688-688 ◽  
Author(s):  
James A. Hampton

Carruthers’ thesis is undermined on the one hand by examples of integration of output from domain-specific modules that are independent of language, and on the other hand by examples of linguistically represented thoughts that are unable to integrate different domain-specific knowledge into a coherent whole. I propose a more traditional role for language in thought as providing the basis for the cultural development and transmission of domain-general abstract knowledge and reasoning skills.


Author(s):  
Umamaheswari S. ◽  
Sangeetha D. ◽  
C. Mouliganth ◽  
Vignesh E. M.

Kidney cancer is one of the 10 most common cancers in both men and women. The lifetime risk for one developing kidney cancer is about 1.6%. The rate of kidney cancer diagnosis has been rising since the 1990s due to the use of newer imaging tests such as CT scans. The kidneys are deep inside the body and hence small kidney tumours cannot be seen or felt during a physical examination. Existing work on kidney tumour diagnosis uses traditional machine learning and image processing techniques to find and classify the images. Deep learning systems do not require this domain-specific knowledge. The kidney tumour diagnosis system uses deep learning and convolutional neural networks to classify CT images. A deep learning neural network model named KidNet has been implemented. It has been trained using labelled kidney CT images. To achieve acceleration during the training phase, GPUs have been used. The network when trained with abdominal CT images achieved 86.1% accuracy, and the one trained with cropped portion of kidney images achieved 89.6% accuracy.


2020 ◽  
Vol 28 (S1) ◽  
pp. S67-S84
Author(s):  
Olga Zlatkin-Troitschanskaia ◽  
Jasmin Schlax

The acquisition of domain-specific knowledge and interdisciplinary skills such as critical thinking is increasingly gaining significance as key learning outcomes in higher education that are crucial for all professionals and engaged citizens and that enable lifelong learning. Despite this socio-political consensus, up until the last decade there have only been a few evidence-based insights into the competencies of higher education students. Therefore, the Germany-wide research program Modelling and Measuring Competencies in Higher Education (KoKoHs) was established in 2011 by the Federal Ministry of Education and Research. In the 85 projects, theoretical-conceptual competence models and corresponding assessments were developed for selected large study domains (e.g. economics) to reliably measure the students’ competencies in different phases of higher education (entering, undergraduate, graduate). More than 100 technology-based assessments of both discipline-specific competencies and generic skills were validated across Germany at over 350 universities with over 75,000 students. This article presents findings from the Germany-wide entry diagnostics in the one KoKoHs project (WiWiKom II) with beginning students in business, economic and social sciences that provide evidence-based insights into students’ learning preconditions and their impact on domain-specific knowledge acquisition in bachelor’s degree courses. The results lead to far-reaching practical implications for successful transitions between secondary and tertiary education, including recommendations for the development of mechanisms to support access to tertiary education and to prevent high dropout rates.


2009 ◽  
Vol 3 (2) ◽  
Author(s):  
A. Agovic

Over the past year we have studied the challenges that must be overcome before we can introduce assistive robots in an operating room. We consider top among the issues a human-robot interface and an instrument-robot interface. In order for an autonomous mechanism to serve up instruments it must have domain specific knowledge about the instrument nature. The robot must be able to track the state of each instrument under its management. To this end we examine technical requirements of an instrument server. The second area of interest, and the one more unpredictable, is the problem of interaction between a human and a machine. In the past we have looked at the human speech as a medium of communication with the robot. Going beyond that we also examine the interaction that occurs at the haptic level. Here we would like to know what precisely could be conveyed to the robot and frmo the robot just by a touch? In microscope is undesirable and touch becomes a valuable means of communication.


2014 ◽  
Vol 10 (3) ◽  
pp. 249-261 ◽  
Author(s):  
Tessa Sanderson ◽  
Jo Angouri

The active involvement of patients in decision-making and the focus on patient expertise in managing chronic illness constitutes a priority in many healthcare systems including the NHS in the UK. With easier access to health information, patients are almost expected to be (or present self) as an ‘expert patient’ (Ziebland 2004). This paper draws on the meta-analysis of interview data collected for identifying treatment outcomes important to patients with rheumatoid arthritis (RA). Taking a discourse approach to identity, the discussion focuses on the resources used in the negotiation and co-construction of expert identities, including domain-specific knowledge, access to institutional resources, and ability to self-manage. The analysis shows that expertise is both projected (institutionally sanctioned) and claimed by the patient (self-defined). We close the paper by highlighting the limitations of our pilot study and suggest avenues for further research.


Author(s):  
Martini Martini

As a part of dissertaion research entitled “Developing A Model Of Business English Teaching Material For Students Of Politeknik Negeri Padang”. This article tells about the needs of Business English in workplaces from the graduate students persperctive. The information gottten can be used as inputs is designing Business English curriculum which in based on Link and Match concept between the needs of workplaces and educational institutions. A survey was done by spreading online questionnaires by using Google drive to the graduates of accounting department, who work for some companies in Indonesia. By using descriptive analysis, finding of the research obtains an overview that four language skills (speaking, listening, reading, and writing) are very impportant in business communication. It menas that they must be taught in Business English class. Next, it is also obtained that grammar, vocabulary, pronounciation, and translation are also very important to be taughy. Besides, this study can determine some business topics that are needed for Business English class.


Author(s):  
Davorin Cimermančič ◽  
Janez Kušar ◽  
Tomaž Berlec

AbstractChanging a traditional company into a lean one is a very complex and time-consuming process that needs to be addressed in an appropriate way, otherwise the project of introduction of leanness into a company may fail on the one hand and even have a negative impact on business operations of the company on the other. When introducing a change, a step-by-step procedure leading to a progress may be of great help. The paper outlines a general procedure of leanness, an important part of which is a lean agent. A portfolio analysis is also used as a measure of leanness or as an indicator of the desired direction. The applied working methods were mainly active workshops and interviews with employees. The procedure has been tested on an example of a Slovene company; first, the existing situation is outlined, then the leanness steps taken according to the procedure and the final result after the first transition of the procedure.


2020 ◽  
Vol 20 (S10) ◽  
Author(s):  
Ankur Agrawal ◽  
Licong Cui

AbstractBiological and biomedical ontologies and terminologies are used to organize and store various domain-specific knowledge to provide standardization of terminology usage and to improve interoperability. The growing number of such ontologies and terminologies and their increasing adoption in clinical, research and healthcare settings call for effective and efficient quality assurance and semantic enrichment techniques of these ontologies and terminologies. In this editorial, we provide an introductory summary of nine articles included in this supplement issue for quality assurance and enrichment of biological and biomedical ontologies and terminologies. The articles cover a range of standards including SNOMED CT, National Cancer Institute Thesaurus, Unified Medical Language System, North American Association of Central Cancer Registries and OBO Foundry Ontologies.


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