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06 March 2020 | Story Ruan Bruwer | Photo Supplied
Nomsa Mathontsi
Nomsa Mathontsi has been training with the South African senior women’s football team since Monday (03/02).

Whether she takes to the field or not, being part of the senior national women’s soccer team is already an accomplishment, says Nomsa Mathontsi. 

The BAdmin student in Economic and Management Sciences has been chosen for the Banyana Banyana squad for the first time. They face Lesotho on Sunday, 8 March 2020 in an international friendly in Johannesburg. There could be two Kovsies on the field, as Mating Monokoane, another University of the Free State student, was selected for Lesotho’s team. Both of them are midfielders.

The 21-year-old Mathontsi, who has been part of the Kovsie football team since 2018, says it will be a dream come true for her to wear the national colours. “Even if I don't get to play, I will still be proud of myself for being able to take on the challenge of going to camp and giving myself a chance to show my talent.”

“We have been together since Monday, 2 March 2020 and it has been the best experience, especially the fact that football has put me in the high-performance centre (South African Football Association girls’ academy), and now I get an opportunity to be with Banyana for the first time.”

“I was shocked when I got the call, but excited to face the challenge because it's never easy to get a call-up to Banyana, you need to work for it,” she says.

According to Mathontsi, who grew up in Mamelodi, Pretoria, her first love was athletics, but that changed during the 2010 World Cup in South Africa.
“I was an athlete back in primary school and it just so happened that I was selected to play football, which I never really enjoyed. I also had the opportunity to be part of the 2010 FIFA World Cup ceremonies, where I developed a love for football.”

News Archive

Dr Abdon Atangana cements his research globally by solving fractional calculus problem
2014-12-03

 

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

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