Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
10 May 2024 | Story Leonie Bolleurs | Photo supplied
Maureen Maisiri - Keynote Speaker PhD Candidate UFS
Delivering the keynote address at the first PhD Colloquium in Disaster Risk Management and Climate Change Adaption, Maureen Maisiri said that it is important to stop taking approaches that do not include people affected by disasters and climate change.

In the midst of South Africa's complex socioeconomic challenges, including poverty, food insecurity, and environmental degradation, a study tiled: Nature-based solutions practices: implications on farm performance, sustainable environment, poverty reduction and food security among South African households? explores the potential of nature-based solutions (NBS) to address these pressing issues. Focused on disaster risk management and climate change adaptation, this study examines the adoption of NBS and its impact on environmental sustainability, agricultural productivity, and community resilience. Collins Okolie aims to offer valuable insights for policy makers, farmers, and communities by investigating the viability of NBS as a strategy for mitigating disaster risk and managing climate change. His work emphasises the importance of raising awareness about NBS and its transformative potential in enhancing farm performance, food security, and poverty reduction.

This study was one of a number of studies discussed during the first three-day PhD Colloquium in Disaster Risk Management and Climate Change Adaptation hosted by the Disaster Management Training and Education Centre for Africa (DiMTEC) at the University of the Free State (UFS).

Becoming a centre of excellence

According to Dr Olivia Kunguma, Lecturer in DiMTEC who acted as chair, the colloquium was inspired by DiMTEC’s vision to become a centre of excellence. It aimed to support PhD candidates and find solutions and recommendations for the increasing incidents and declared disasters in Africa. She added that the colloquium was also the centre’s way of contributing to the achievement of global targets, such as the Sendai Framework for Disaster Risk Reduction 2015-2030 priorities, the Paris Climate Change Agreement of 2015, and the Sustainable Development Goals.

Among the more than 80 delegates who attended the colloquium were key stakeholders in disaster management, including representatives from the National Disaster Management Centre and the Gauteng Provincial Disaster Management Centre, in addition to the PhD candidates. The event also received support from UFS research structures, including the Directorate Research Development represented by its Director, Dr Glen Taylor, and the Faculty of Natural and Agricultural Sciences, represented by the Dean, Prof Paul Oberholster. External stakeholders in attendance included Counsellor Lulama Titi-Odili, the Deputy Mayor of the Mangaung Metropolitan Municipality, and Khotso Tsotsotso, the acting Head of the Old Mutual Foundation. The event was also sponsored by the Old Mutual Foundation, the Gauteng Provincial Disaster Management Centre, and the National Disaster Management Centre. “Having the Old Mutual Foundation as the primary sponsor is exciting for the disaster management fraternity, as it will see insurance companies take a growing interest in disaster risk management, resilience building, and climate change adaptation,” said Dr Kunguma.

Dr Kunguma pointed out the excitement and productive engagement between the audience and the PhD candidates as a particular highlight of the event. She emphasised the rigorous and scientific feedback received by the candidates, allowing them to reflect on their research motivation, perspectives, and future implications. The event provided an invaluable opportunity for PhD candidates to receive practical, social, and scientific feedback from both research experts and industry professionals. Dr Kunguma remarked, “The feedback and engagements have improved their work, and sharpened their presentation skills and confidence in their work and in themselves.”

Additionally, the initiative provoked praise from the Deputy Mayor, who underlined her role in advocating for increased funding for disaster management. Counsellor Titi-Odili stressed the importance of budgeting sufficiently for disasters. She acknowledged that disasters often originate at the local level and advocated for adjustments in the disaster declaration process. She also proposed the involvement of interns or graduates in government disaster management efforts.

Jurgens Dyssel from the National Disaster Management Centre also provided his input on the value of this initiative. He indicated that such a platform brings new knowledge that should be aligned with industry needs for translation into community impact. He suggested that the colloquium be aligned with the National Disaster Management Research Agenda, a repository for all research in disaster and climate studies.

Tshepo Motlhale, Chief Director of the Gauteng Provincial Disaster Management Centre, added that the colloquium is an innovative platform for diversifying all aspects of interventions and creating a space to enhance partnerships and collaborations to come up with solutions.

Blended systematic and sustainable solutions

Giving a voice to the PhD candidates was Maureen Maisiri, who was also appointed as the keynote speaker for this event. According to her, there is a need to create blended systematic and sustainable solutions and to stop taking approaches that do not include people affected by disasters and climate change. Maisiri encouraged fellow PhD candidates to work in teams, to appreciate diversity, and to be disciplined.

In the panel discussion on My PhD journey and contribution to Disaster Risk Management and Climate Change Adaptation, the work of Daizy Nalwamba and Zukiswa Poto investigated critical aspects of disaster risk management and climate change adaptation. Nalwamba's study in Zambia explored the effectiveness of environmental education in promoting sustainable practices, revealing gaps between knowledge and practical application. Meanwhile, Poto's research in South Africa highlighted the need to prioritise economic resilience in disaster management legislation, advocating for proactive measures to support business continuity and community resilience.

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