Latest News Archive
Please select Category, Year, and then Month to display items
#UFSupdate (18 March 2020): UFS IMPLEMENTS MEASURES TO MINIMISE RISK OF COVID-19 TO STAFF
STATEMENT BY PROF FRANCIS PETERSEN, RECTOR AND VICE-CHANCELLOR
The executive management of the University of the Free State (UFS) welcomes the announcement of Dr Blade Nzimande, Minister of Higher Education, Science and Technology on 17 March 2020 that all post-school training institutions will have an early recess, starting on 18 March 2020. The Minister’s directive that universities should minimise risk of COVID-19 to all its staff during this time is also welcomed.
The announcement of Dr Nzimande is in line with the university’s decision on 16 March 2020 to suspend the academic programme as from 17 March 2020 and to resume it again on 14 April 2020.
It is important for us all to know that this is not business as usual, and that different thinking is required. Responsible citizenship is one of the crucial elements the world has increasingly been experiencing for the past few weeks. This is why we must act out our responsibility towards one another by focusing on ways in which social distancing can be achieved – especially during this low-risk period that South Africa is still experiencing. This is one of the reasons that informed the university’s decision on 16 March 2020 week to suspend the academic programme and also for students to vacate the residences by 20 March 2020.
The health and well-being of our staff members are equally important. The university’s Employee Task Team that was established on 16 March 2020 analysed options for the continuation of university operations during the recess period. These options were submitted to the executive management, discussed with the Chairperson of the UFS Council and approved on 18 March 2020.
Staff members who have children at school and pre-school may work from home on 19 and 20 March 2020. For the period 23 March 2020 to 13 April 2020, the number of staff members present on all three campuses will be reduced to a minimum and staff members may be allowed to work from home where practically possible.
Arrangements have been made to accommodate those staff members who are performing services which cannot be done from home (such as cleaning, gardening, maintenance, sports, etc) in a flexible and reasonable way. Similar arrangements will be made with office-based support services staff, prioritising institutional needs and based on humane and personal circumstances. Academic staff have been requested to ensure that the online learning materials are finalised and made available for the online learning platform.
The decision for employees to work from home is based on the premise that all employees are deemed to be at work from 23 March 2020 to 13 April 2020. This requires staff members to be available and contactable by line managers at all times during the university’s normal working hours.
I am comfortable that these measures will alleviate the concerns from our staff regarding the spreading of COVID-19 and the risk to themselves without compromising university operations.
Prof F W Petersen
Rector and Vice-Chancellor
University of the Free State
Mathematical methods used to detect and classify breast cancer masses
2016-08-10
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.