Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
10 May 2024 | Story Valentino Ndaba | Photo Supplied
Security Policy 2024
Security Policy ensures a safe haven for learning and growth at the University of the Free State.

Fostering an environment conducive to high-quality learning and teaching is paramount at the University of the Free State (UFS). “This commitment extends beyond academic pursuits to encompass the well-being and safety of every member of our university community,” says Cobus van Jaarsveld, Deputy Director of Threat Detection, Investigations, Compliance, and Liaison at the Department of Protection Services.

The university’s dedication to safety in alignment with Vision 130, our Strategic Plan 2023-2028. Protection Services at UFS adheres to a standard of excellence in all aspects of university life. “We prioritise integrity, accountability, and responsibility, striving to create an environment where the happiness and the well-being of our community are central,” adds Van Jaarsveld.

To uphold these values effectively, UFS has initiated a review of the Security Policy, reflecting a renewed approach to safety and security. This policy aims to enhance the UFS experience by ensuring the safety and security of individuals, property, and information across all campuses, satellite sites, and university premises.

Foundational principles

The Security Policy is built upon several core principles. These include a commitment to excellence, ensuring alignment with institutional goals and national legislation, as well as prioritising safety across UFS locations. Partnerships with stakeholders are emphasised to effectively address security challenges. Additionally, the policy highlights universal access, aiming to make safety measures accessible to all members of the university community, including those with disabilities.

Aim and strategies of the policy

The aim of the Security Policy is multifaceted. It seeks to establish a unified approach to safety and security, engaging all pertinent stakeholders in a coordinated effort. Furthermore, the policy endeavours to bolster infrastructure and equip security personnel with the necessary resources to preemptively identify and address potential threats. It also strives to cultivate a culture of heightened security consciousness and active community participation. Compliance with pertinent legislation, particularly in areas such as firearm control, is prioritised. The execution of all security-related functions is entrusted to Protection Services as outlined within the policy framework.

Protection Services personnel are tasked with:

• Identifying and assessing security risks.
• Issuing early warnings and incident reports.
• Responding to emergencies and investigating incidents.
• Developing and implementing security guidelines and protocols.
• Educating and raising awareness within the university community.

• Supporting off-campus students in emergencies and reporting incidents.

At UFS, safety and security are not just policies; they are foundational elements of the university’s commitment to excellence and community well-being. Through collaboration, vigilance, and a proactive approach, the UFS strives to create an environment where everyone can thrive and contribute to a brighter future.

Contact Protection Services 

Bloemfontein Campus Protection Services: +27 51 401 2911 or +27 51 401 2634
South Campus Protection Services: +27 51 505 1217 
Qwaqwa Campus Protection Services: +27 58 718 5460 or +27 58 718 5175

Click to view documentClick here to download the UFS Security Policy.


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