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02 September 2021 | Story Dr Nitha Ramnath and Dr Elias Malete

According to Austin (1998:34), language is a tool used by human beings to communicate with each other. All languages have communicative value, meaning, and allow people to share thoughts, feelings, ideas, and exchange knowledge and opinions. No language is better or worse than the other, as all languages are equal in terms of their value and function. On the other hand, language dominance is a social process in which different languages are assigned different levels of importance, such that one language and its speakers carry higher social, economic, and political status than others. Subsequent to this practice, certain speakers struggle for recognition, while others enjoy a broader audience. Addressing language dominance, one needs to remember that language is not naturally hierarchical and that one must respect linguistic diversity and human rights at both individual and collective level. The concept of listening to one another then becomes a challenge, hence the theme: ‘Hearing you hearing me’ is so important in the 21st century.

How then can we as people resist or disrupt language dominance:
• Name and trace the history of language dominance
• The effects of inequity in daily language usage – not hearing each other
• The awareness and significance of multilingualism – learning other languages
• What universities can do and should do on a practical level to promote multilingualism

These are some of the aspects we look forward to discussing in the forthcoming webinar. 

Date: Friday, 17 September 2021
Topic: Hearing you, hearing me
Time: 12:30-14:00

Facilitator:

Dr Elias Malete
Senior Lecturer, African Languages, UFS

Panellists:

Prof Angelique van Niekerk
Associate Professor and Head of Department
Department of Afrikaans and Dutch, German and French
University of the Free State

Prof Nhlanhla Maake
Professor and Language Practitioner of Sesotho

Prof Nobuhle Hlongwa
Dean and Head of the School of Arts
College of Humanities 
University of KwaZulu-Natal


Bios of speakers:

 

Prof Angelique van Niekerk


Prof Angelique van Niekerk copy
Prof Angelique van Niekerk is Associate Professor at the University of the Free State and the HOD in the Department of Afrikaans and Dutch, German and French. Her research focus is on applied linguistics within the field of semantics and pragmatics and on the linguistic nature of advertising communication. She has published many accredited publications within linguistics and communication sciences, in which she integrates her interest in both fields. She has a passion for teaching and (blended learning) course design within language acquisition. This has resulted in different registered SLPs within the department, focusing on Afrikaans as foreign language and Dutch as foreign language.

Prof Nhlanhla Maake

Prof Maake copy

Prof Nhlanhla Maake is currently the Managing Director of the biggest merchandising company in South Africa, a position he has held since 2018. He has just completed a translation of SM Mofokeng’s Pelong ya Ka into English. The book is to be published in London, New York, and Calcutta in 2021 under the Elsewhere Texts series, edited by Gayatri Spivak and Hosam Aboul-Ela. 

He has held several academic positions nationally and globally and has served on several language task teams under the auspices of the Department of Arts and Culture; as a member of the Parish Pastoral Council at Our Lady of Mt Carmel in Thokoza; as a member and chairperson of the Catholic Bible College; as member and acting Chairperson of the English National Language Body of PANSALB; as Council member of the English Academy of Southern Africa; as Council member of the Afrikaanse Taalmuseum en -monument (2015 to 2017); and as Council member of the Wits Council on Education.

Prof Maake was an NRF (National Research Foundation) rated scholar (2006-11) and has held fellowships at Aarhus University (1983), on the Southern African Research Program (Yale University, 1989), Ernest Oppenheimer fellowship (UCT, 1992), and the Distinguished Scholars Programme (Wits, 1993). He was admitted to the Golden Key International Honour Society in 2005. He has presented papers and keynote addresses at more than 80 international and local conferences, is widely published, and has won several literary awards and recognitions. 


Prof Nobuhle Hlongwa


Prof Hlongwa  copy

Prof Nobuhle Hlongwa is the Dean and Head of the School of Arts in the College of Humanities at the University of KwaZulu-Natal. She is the former Dean of Teaching and Learning in the College of Humanities and was the acting Dean and Head of the School of Religion, Philosophy and Classics for six months in 2016. Rated by the National Research Foundation (NRF) as a C2-rated social scientist for five years, Prof Hlongwa has more than 30 publications, including research articles, books, book chapters, and conference proceedings. She is currently a member of the Academic Advisory Board of African Languages on the Bloemfontein Campus, and a member of the Board of Directors of the International Congress of Onomastic Sciences (ICOS). She is a representative of the University of KwaZulu-Natal in the Community of Practice for the Teaching and Learning of African Languages (CoPAL), which forms part of the devolved governance structure of Universities South Africa (USAf). 

She was a member of the Ministerial Advisory Panel on the development of African Languages in Higher Education. She completed her first post-doctoral supervision in June 2018.  She is a member of the advisory board of the South African Journal of African Languages (SAJAL). She is assistant editor of the Alternation Journal. She is a reviewer for the National Research Foundation (NRF), as well as for a number of academic journals. 




News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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