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22 July 2025 | Story Nontobeko Nxumalo | Photo Supplied
Mandela Day
The DiMTEC team marked Mandela Day by planting indigenous trees on campus, promoting sustainability and community resilience through nature-based solutions.

The University of the Free State’s (UFS) Centre for Disaster Management Training and Education Centre (DiMTEC) commemorated Nelson Mandela International Day on 18 July by planting trees that help embed nature-based solutions at the heart of disaster risk reduction and climate change adaptation.

“It’s a simple act, yet deeply symbolic – a commitment to sustainability, climate resilience, and future generations,” said Dr Tlou Raphela-Masuku, a Senior Lecturer at DiMTEC. “Nature-based solutions, such as planting indigenous trees, are not just theoretical strategies; they are practical tools to reduce disaster risk, restore ecosystems, and build community resilience.” 

One of the trees planted, the indigenous, resilient Wild Olive (Olea europaea subsp. africana), known locally as Mohlware, embodies the drive to place nature-based solutions at the forefront of disaster risk reduction. “This tree is drought-tolerant and well-adapted to Bloemfontein’s semi-arid climate,” Dr Raphela-Masuku explained. “It stabilises soil, prevents erosion, supports biodiversity, and cools urban spaces. Its thick canopy shelters birds and small mammals, while its deep roots nourish and protect the earth. In a warming world, every Wild Olive planted is a small act of resistance against climate change.” 

 

Collaborative programme

Dr Raphela-Masuku said the tree-planting programme, a collaboration with UFS Protection Services and University Estates, ties directly into the principles the centre teaches in its Master's of Disaster Management module Ecosystem-Based Disaster Risk Reduction (ECO-DRR). 

“From the viewpoint of the African Union’s Science and Technology Advisory Group, it is befitting that as part of the work dedicated to disaster risk reduction initiatives in the African continent, this day is a reminder that we promote community service, resilience and social justice in the ‘Africa we want’. Furthermore, Mandela Day activities align with the Sendai Framework for Disaster Risk Reduction (SFDRR)’s priorities of understanding risks and strengthening disaster governance at all levels,” remarked Prof Alice Ncube, an Associate Professor at DiMTEC.

She added that, “In a city like Bloemfontein, which is not exempt from drought accelerating frequently and temperatures rising yearly, choosing to plant climate-resilient, indigenous species isn’t merely wise, it’s necessary. Trees like the Wild Olive don’t just provide shade and beauty; they help cool urban environments, support biodiversity, and protect our university community from floods and storms. They represent a forward-thinking investment in a sustainable, climate-adapted future. Mandela Day reminds us that service should be continuous, not confined to a single day. A tree planted today will outlive us, offering shade, shelter, and hope to those who come after. As Mandela himself said, ‘The true meaning of life is to plant trees under whose shade you do not expect to sit.’”

 

Commitment to change

Mandela Day also fits in with the UFS’ Vision 130 strategic intent. It is a day that reminds us that everyone has the power to make a difference. In the spirit of Madiba’s legacy, we can commit to fostering social justice, human dignity, and sustainable development through academic excellence and meaningful community engagement. In the face of climate change, biodiversity loss, and environmental degradation, each seed we plant becomes an act of defiance as well as an act of hope.

Prof Samuel Adelabu, Vice-Dean: Postgraduate and Research in the Faculty of Natural and Agricultural Sciences, applauded the team’s efforts. “We are planting trees that represent sustainability, things that can stay for long. I believe we are all practising sustainability in this initiative we are doing today to show that the university, as well as the faculties, are in line with sustainability.” 

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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