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17 February 2023 | Story Valentino Ndaba | Photo UFS Photo Archive
The UFS Protest Protocol offers the university community safety guidelines during protests, including dos and don’ts for staff and students who are not demonstrating; acceptable and unacceptable behaviour during protests, and how to handle protests in accordance with standard operating procedures

The University of the Free State (UFS) recognises the right of students and staff members to peacefully assemble, picket, and protest in a way that does not interfere with the rights of other members of the university community. At the same time, the safety of all UFS staff and students is one of our top priorities.

The UFS Protest Protocol offers the university community safety guidelines during protests, including dos and don’ts for staff and students who are not demonstrating; acceptable and unacceptable behaviour during protests, and how to handle protests in accordance with standard operating procedures.

As a university, we continuously strive to create an inclusive environment where opposing views are accommodated, and the constitutional right to protest is respected. According to the UFS’s Vision 130 strategy, one of the key principles that drive the institution is social justice: “The university recognises that diversity goes together with a commitment to inclusivity, equity, and social justice. We therefore also commit to creating a culture of care and a vibrant space for, and acceptance of, constructive and critical engagement; where a diversity of often contested ideas and perspectives is not just tolerated, but also fostered through discussion and subsequent implementation.”

What should one do if a protest occurs?

1. Communicate: The university must be informed if it is to respond appropriately to protest action. If you are aware of ongoing or impending protest action, immediately inform the relevant 24/7 Protection Services operational centre.

2. Be informed: In order to respond appropriately to protest action (for your own protection and the protection of others), you need to know about impending or ongoing protests and stay informed on how it unfolds, via official UFS communication platforms and ConnectYard. The latter provides as-it-happens crisis alert notifications via WhatsApp.

3. Keep away: If at all possible, keep away from the area of the protest action. Try to keep others for whom you are responsible away as well.

4. Help others: If someone appears to be in danger or distress, intervene only if you are sure that it is safe for you to do so, and proceed calmly, without provoking protesters. Seek treatment for injuries. Should you or someone else suffer injuries of any kind during protest action, seek treatment from emergency services or Kovsie Health. Contact the Protection Services operational centres for any medical emergencies, so that they can activate the ambulance services according to available protocols.

5. Report: Report all incidents and damages to Protection Services at the numbers provided. It is important that non-protesting staff and students submit statements to the UFS investigating officers for the internal disciplinary process, to prevent similar occurrences in future. Be specific when providing a statement, to enable the investigating team to identify those involved in violent disruptions. Culprits cannot be brought to book if no evidence is available to link them to specific incidents. All reasonable steps will be taken to protect non-protesting staff and students testifying in disciplinary proceedings.

For advice on what to do and what not to do, read the UFS Protest Guidelines booklet. You can also watch the video below for more information:

 

Bloemfontein Campus
Protection Services: +27 51 401 2911 | +27 51 401 2634 | 0800 204 682
Ambulance: +27 80 005 1051 | 10177
Social worker: +27 73 182 3048
Kovsie Health: +27 51 401 2603

Qwaqwa Campus     
Protection Services: +27 58 718 5460 | +27 58 718 5175 | +27 58 718 5360
Ambulance: 10177
Social Worker: +27 58 718 5090 | +27 58 718 5091
Kovsie Health:   +27 58 718 5210                          

South Campus
Protection Services: +27 51 505 1217
Ambulance: +27 80 005 1051 | 10177
Social worker: +27 73 182 3048
Kovsie Health: +27 51 401 2603

 

 

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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