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19 March 2021 | Story Cobus van Jaarsveld

As students are returning to campus, Cobus van Jaarsveld, Assistant Director: Threat Detection, Investigations and Liaison at Protection Services, believes it is important that they ‘know’ and practise safety at the UFS:

1) Know the number of your Department of Protection Services:

• Bloemfontein Campus: +27 51 401 2911(also in cases of GBV)
• Qwaqwa Campus: +27 58 718 5032 / 5029 / 5033
• South Campus: +27 51 505 1298

Protection Services staff are the experts on campus safety, and they are able to point out the safest routes on and around campus, especially after dark. They can also assist with any safety concerns you may have.

As a student, you are smart; use your senses:
o Never let a stranger in your room or apartment
o Never walk alone after dark.

2) Know how to use alcohol

Although drinking and driving is a big NO, there are some other cardinal facts about drinking that you need to take note of:

• Never consume a drink provided by a stranger
• Never leave a drink unattended
• Never drink too much too quickly
• Always leave a party with a buddy

3) Know the basics of personal finance

You will be bombarded with offers from credit card companies, clothing stores, etc. Know how to budget. If you do not know how to budget, please contact the Student Counselling and Development office to assist you. This skill will not only make your life easier at varsity, but also once you start earning an income.

Be aware of fraud. If something looks too good to be true, it often is.

Watch your wallet. Theft or robbery is a possibility.

4) Know how to be safe on the internet

You are spending a lot of time on the internet. Unfortunately, criminals are also spending time in cyberspace with the aim of taking advantage of unsuspecting people like you. This may include cyberstalking, which may lead to emotional or physical harm, or it may result in them taking your information or money through phishing scams. Do not become a victim and ensure that you
- never use the same password twice;
- never use unsecured Wi-Fi to access private accounts;
- always use passwords that are difficult to guess;
- never reveal important information such as your banking login details to strangers calling on the phone; and
- never mention your location online.

5) Know basic self-defence

Avoid being the victim of any form of harassment or assault. Learning basic self-defence techniques will help you to protect yourself from physical attacks.

Protection Services offer self-defence classes from time to time. Make use of the opportunity and equip yourself with these self-defence techniques. Also buy yourself pepper spray, which can give you time to escape.

“Lastly, be aware of your surroundings. Walk with a purpose, without headphones, and always pay attention,” says Van Jaarsveld.



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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