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22 June 2020

Dear UFS NSFAS and Funza Lushaka student,

You have been identified as an eligible student of the University of the Free State (UFS) who will receive a 3-month data-bundle grant, downloaded directly to your mobile device, as provisioned through a grant from the Department of Higher Education, Science and Innovation.   

Specifics of this data-bundle allocation are:

1. This grant is available only to students funded by NSFAS and Funza Lushaka.
2. The grant has a fixed duration of 3 months only, commencing on the date of your full registration with the national telephone company.
3. There are no in-month data top-ups on these allocations. Once this data allocation has been used, all further data required for academic engagements with the UFS will be for your own account.
4. The data will be provisioned directly to your mobile device from your preferred (contracted) mobile data provider on a monthly basis (for 3 months only).
5. No VPN access (through GlobalProtect) is required when accessing the academic websites of the UFS through these data bundles.
6. Your mobile number on the university’s PeopleSoft system will be used to initiate the download of the data bundles. You need to make sure that the cell number we have is your correct number. This cannot be changed afterwards.
7. There is no roll-over facility for unused data. A fresh, automatic provision will be made on a monthly basis. Unused data will not be added to the data bundles of the following month (3 months only).

NEXT STEPS

1. Telkom subscribers:

Based on the DHET grant conditions, a national agreement was reached with Vodacom, MTN, and Cell C for cell-based data provisioning. Unfortunately, the same agreement could not be reached for Telkom subscribers. The Telkom offer is based on an ADSL facility installed at your place of study and is thus based on a fixed landline approach. This implies that if you do not have a fixed landline to your home (place of study), you need to apply for an ADSL facility to be installed.  The associated arrangements and costs are for your personal account.

• If you do not have a Telkom landline at home (place of study), and you prefer to be serviced through a mobile data facility, you can opt for a 3-month engagement with any of the other three mobile data providers, being Vodacom, MTN, and Cell C. In this regard, you must physically visit the preferred provider and buy a SIM card and provide the new SIM-card number to the Student Helpdesk at Student Academic Services (051 401 9666) BEFORE 14:00 on Friday 26 June 2020, as this number will now be the number to which the data bundle will be provisioned for the 3 months.  

To do so, proceed as follows:

• Select the provider you want to deal with, or which is closest to you.
• Go to the shop (outlet) and buy a new SIM (at your own cost).
• You must take your national ID and proof of residence with you to RICA the new SIM card (as per the legal requirement).
• After obtaining the new SIM card, you must provide the new cell number attached to the SIM card to the UFS through the Student Helpdesk at Student Academic Services (051 401 9666) BEFORE 14:00 on Friday 26 June 2020.
• If you prefer to update your cell number yourself, please use the following URL:

https://pssa.ufs.ac.za/csprd/signon.html

2. Please note:

Once the monthly data allocation has been downloaded to the pre-identified cell number of your chosen mobile data provider (Vodacom, MTN or Cell C), the use of the data must be carefully managed for academic purposes only.  

Should you, for whatever reason, use this data inappropriately (for private use, etc.), you will run out of data soon, as it is a limited allocation of 10 GB of daytime data and 20 GB after-hours data (30 GB in total). NO further monthly data top-ups are available to you under this grant, and all further data requirements will be billed against your private number until the next monthly allocation is downloaded to your device (3 cycles only).

3. The GlobalProtect VPN access mechanism is not required for this data use, and your access will be directly to the internet and the UFS website, from where you will be able to engage with the academic content published there.

4. Technical setup assistance:

• Once you have received your monthly data bundle, you will have to set up your mobile device as a hotspot and link your laptop or desktop device to it. The cellphone then acts as a modem through which you will be able to engage with the academic resources of the UFS.
• There is no ongoing data usage monitor to inform you of the volumes of data you have consumed per session or per day. Be careful how you manage this data.

5. General notes:

• Please make sure that we have your correct cell number on our PeopleSoft system. The final date for any changes or confirmation of your correct cell number is 14:00 on Friday 26 June 2020.  Unfortunately, no late cell number changes can be accepted thereafter.
• If you are a current Telkom subscriber, you will have to provide the number of the new SIM card to the UFS as well. Should you miss the deadline of 26 June 2020, there will be no further opportunities to correct your number, and data that should have been allocated to you, will now be used by another person for the full duration of the grant, being 3 months.
• You are not allowed to change your mobile number in the next 3 months, as the data-bundle allocation will be done in a once-off manner and will remain as such for the full duration of the data grant.

6. Technical setup guides:

Please refer to the UFS website’s Digital Life section under the ‘Student’ heading, for guides to set up your mobile phone as a hotspot and to link your laptop or desktop to your phone.

This is a valuable once-off grant by the Department of Higher Education, Science and Technology. You are encouraged to perform all the actions required to use this data optimally.

7. Enquiries:

For enquiries regarding the technical configuration of your device, please contact:

ICT Services Service Desk at +27 51 401 2000 (during office hours).



News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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