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28 November 2019 | Story Legopheng Maphile | Photo Supplied
Open Access
Staff from the Library and Information Services of the UFS and the CUT

The Library and Information Services of the University of the Free State (UFS) and the Central University of Technology,Free State (CUT) jointly hosted an Open Science Colloquium on 19 November 2019. The colloquium was in response to the national and international developments in what is referred to as ‘the Open Access 2020 (OA2020) movement’. This movement calls on all parties involved in scholarly communication to take action to make their scholarly outputs open and freely available to all citizens of the world. It is a move against the current subscription-based model of publication, which has proved to be costly and unsustainable, and which limits access to knowledge to a few, making it unacceptable.

Welcoming more than 200 delegates to the UFS, Ms Betsy Eister, Director: Library and Information Services, referred to OA2020 as a disruption in the publishing arena.

Endorsing the Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities

The colloquium comes as an endorsement of the Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities that the two universities signed eight years ago. As signatories, the UFS and CUT have committed to the wide and free dissemination of its scholarship by means of open access platforms. This declaration was confirmed by the Rector and Vice-Chancellor, Prof Francis Petersen.  

“When the UFS signed the Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities in 2011, this university committed itself to the wide and free dissemination of its scholarship by means of open access platforms. At that point, we have already made that commitment to open access platforms.”

Open access vs subscription

Prof Petersen said challenging the current status quo will bring equity into the system, which  will “ensure that our younger cohort of researchers and scholars have the ability to freely conduct research, to freely access material, so that we can produce high-quality researchers and scholars for our system”. 

Also present was Prof Ahmed Bawa, Chief Executive Officer of Universities South Africa, who echoed Prof Petersen’s message by making a case for management, researchers, libraries and research funders to work together to make OA2020 a reality. “These discussions are very important because it provides us with an opportunity to build international consensus on these things, which is critical in moving forward.”

Prof Ahmed Bawa

Prof Ahmed Bawa, Chief Executive Officer of Universities South Africa addressed delegates on the importance of open access. 

Mr Glenn Truran, Director of the South African Library and Information Consortium (SANLiC), and Ms Eister addressed the national and local roadmaps, respectively. SANLiC, a consortium that negotiates deals for electronic resource subscriptions on behalf of all 26 public universities and eight research councils, has already started transformative agreement negotiations with international publishing company Taylor and Francis. 

The colloquium ended with a declaration signed by members present, hoping that it would be signed by all concerned as a commitment to taking action towards open access.  The two universities will ultimately sign the OA2020 Expression of Interest.

• The UFS and CUT Libraries are thankful to Mr Gareth O’Neill and UFS colleagues (Mr Charlie Molepo and Mrs Cornelle Scheltema-Van Wyk), who shared information with the attendees on transformation agreements (also referred to as Plan S) and AmeliCA, respectively. Plan S deals with transformation agreements to be signed with publishers, which are about negotiations with publishers to change from subscription-based to open-access journal publishing models. Mr Molepo and Mrs Scheltema-Van Wyk showcased the open access model that the UFS Library has already implemented, which is what AmeliCA is all about. This involves the publication of nine accredited UFS journals on the Open Journals System platform, which enhance its discoverability and accessibility. It was also a pleasure to listen to Prof Abdon Atangana from the UFS Institute for Groundwater Studies – a classic example of an activist and beneficiary of open access publishing – who was recently named as one of the top-10 cited researchers in the Web of Science, thanks to open access publication.

Betsy Eister
Betsy Eister, Director: Library and Information Services at the UFS. 


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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