Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
04 March 2025 | Story Precious Shamase | Photo Kwanele Madonsela
Deputy Director   - Academy for Multilingualism with the school teachers showing off the donated Dictionaries
Dr Tholani Hlongwa (middle), Deputy Director of the UFS Academy for Multilingualism, emphasised that such initiatives promote a deeper appreciation of diverse perspectives while helping to overcome communication barriers among learners.

International Mother Language Day marks its silver jubilee, highlighting 25 years of linguistic diversity advocacy. On Friday 21 February 2025, the world observed the 25th anniversary of International Mother Language Day, a milestone celebrating a quarter of a century of efforts to promote multilingualism and cultural preservation.

International Mother Language Day, observed annually, promotes awareness of linguistic and cultural diversity and multilingualism. The UFS Qwaqwa Campus' 2025 event not only celebrated this diversity, but it also provided tangible support to the local education system.

The event placed a spotlight on the importance of mother tongue-based education (MTBE), particularly as the South African government and the Department of Education continue to roll out MTBE in the fourth year of schooling (Grade 4).

The day’s primary objective was to cultivate a welcoming environment where learners could share their languages and cultural identities, a vision that directly aligns with the UFS’ Vision 130. This strategic framework champions inclusivity, which aims to create platforms where diverse communities can interact and learn from one another, solidifying a sense of belonging for all.

A key feature of the commemoration was the distribution of 40 bilingual pictorial dictionaries to two local primary schools in Qwaqwa. Notably, one school caters for hearing learners, while the other provides education for Deaf learners, ensuring inclusivity in the initiative.

"This event was more than just a celebration; it was a powerful demonstration of inclusivity in action," stated Dr Tholani Hlongwa, Deputy Director from the UFS Academy for Multilingualism. "By bringing together Deaf and hearing learners, we are breaking down communication barriers and fostering a deeper understanding of each other's unique perspectives."

"This year's commemoration held particular significance, as we witnessed the continued progression of mother tongue-based education within our national curriculum," said Dr Hlongwa. "These bilingual dictionaries will serve as invaluable tools for both teachers and learners, fostering a deeper understanding and appreciation of their mother languages."

The distribution of these resources aimed to support teaching and learning directly within the beneficiary schools, reinforcing the university's commitment to community engagement and educational development.

The Academy for Multilingualism at the UFS plays a crucial role in promoting and researching multilingualism, and this event highlighted its dedication to advancing language equity. The University of the Free State continues to demonstrate its dedication to the development of the communities surrounding its campuses.

The event at Thiboloha School for the Deaf and Blind stands as a testament to the UFS’ commitment to building a more inclusive and equitable society. By fostering dialogue and understanding, the university is actively contributing to a future where all individuals feel valued and respected. This initiative has not only enriched the lives of the participating learners, but it also set a precedent for future collaborations that champion multilingualism and inclusivity within the broader community.

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept