Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
26 August 2020 | Story Nitha Ramnath | Photo Supplied

A VUCA environment reflects a state of the external world, or external to the leader, community, or nation, as much as it seems to reflect an internal frame of mind. The constant pressure to lead, while being uncertain about the outcomes of your decisions and even fearful of not being in control all the time, are some of the hallmarks of a VUCA world. A good way of thinking about this concept is to view it as the ‘new narrative’ – the volatility, uncertainty, complexity, and ambiguity inherent in today’s world.

Leaders in the 21st century need to steer a country securely through unparalleled, challenging, and stormy circumstances such as food insecurity, political unrest, migration and refugee issues, unemployment, divided societies and prejudice, global warming, and others. Against this introduction, it unfortunately appears as if there is an increase in VUCA problems in the 21st century, and leaders often fail in their attempts to provide solutions to these demanding circumstances. Indeed, it appears as if leaders in the 21st century are actually contributing to VUCA environments. So-called ‘state capture’ and the ‘gangster state’ in South Africa, ‘make America great again’ and ‘America first’ , the Brexit no-deal option, ‘trade wars’, and ‘the deadly coronavirus’ are examples of when leaders did not appear to solve challenges, but rather to intensify them. 

This is the backdrop against which the book, Chaos is a Gift? Leading Oneself in Uncertain and Complex Environments, has been conceptualised – indeed to debate the opportunities that exist amid this chaos. 

Three UFS women academics contributed to this book.

Dr Martha Harunavamwe (Department of Industrial Psychology) has written a chapter on resilience and agility in Zimbabwean higher education.Dr Mareve Biljohn (Department of Public Administration and Management) has written a chapter on leading the self in South Africa’s VUCA local government environments. Prof Liezel Lues (Department of Public Administration and Management) has written a chapter on South Africa’s surviving VUCA environment. She is also one of the editors of the book.

The endorsement written by Prof Petersen, reads: There are various books on leadership, but this book, in navigating today’s volatile, uncertain, complex and ambiguous (VUCA) environment, presents chaos as both an opportunity and possibility in developing ‘selfcare practices’ in leading oneself. Leaders must have the cognitive flexibility to adapt to the unknown in the midst of chaos (and a crisis). Through making sense of leadership approaches in different environments, including the business, private, academic and public sectors, as well as in conflict/post-conflict situations, the book provides a deep insight into leading oneself effectively with innovation and empathy in a VUCA environment – an excellent contribution to self-leadership. (Francis Petersen, Rector and Vice-Chancellor: Top Management, University of the Free State)

The book, published by KR Publishers, will be launched on 27 August 2020. Prof Ebben van Zyl, together with Prof Lues, are the editors of this book: Van Zyl, E, Campbell, A and Lues, L. ed. Chaos is a Gift? Leading Oneself in Uncertain and Complex Environments. Randburg: KR Publishing. ISBN: 978-1-86922-860-6

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