THE ECONOMIC IMPACT OF PEANUT RESEARCH ON POVERTY REDUCTION: RESISTANCE STRATEGIES TO CONTROL PEANUT VIRUSES IN UGANDA

Economic impacts of research that developed Rosette Virus-resistance peanut in Uganda are estimated. Changes in economic surplus are calculated and combined with household data to assess changes in poverty rates and effects on livelihoods of the poor. The poverty rate may decline up to 1.5 percent as a result of the research.Research and Development/Tech Change/Emerging Technologies,

Exploring the potential of crowd sourced data to map commuter points of interest : a case study of Johannesburg

Abstract: Modern African cities are faced with various mobility and transportation challenges. In developing smart sustainable cities, city planners need to create a balance between supply and demand for public transportation. Development of multi-mobility mode models has contemporarily received a special interest in smart cities development. Globally, the use of bike sharing services to complete the first kilometre or last kilometre of the trip has been highly received, with commuters using either rail or road mobility modes for the middle section of their trip. Within the developing world context, the use of multi-mobility modes in daily commuting is still new, and little research has been done to guide this. Notwithstanding the influence of uncertainties and fragmentation over demand and supply in public transportation provision. In the South Africa context, various modes of public transportation have been developed which seek to be smart, sustainable and efficient such as the fast train (Gautrain), Bus rapid transport (Rea Vaya and Gaubus) and Bikes sharing platforms (Upcycles), however most of these modes are currently not spatially connected. Hence the researcher sought to develop a stepping stone in planning for future mobility demand. Using an explorative methodology, the authors collected quantitative and spatial data in the form of land-use data and crowd sourced data (from twitter) to map commuter points of interest in and around the city of Johannesburg. The results reveal hot and cold spots in the city. The hot spots reveal areas where commuters frequently travel to, and when overlaid with transportation data, we are able to identify potential locations to develop new transportation hubs as these will overtime become key points of interest

Ranking nodes in complex networks : a case study of the Gaubus

Abstract: Connecting points of interest through a well-planned, inter-connected network provides manifold benefits to commuters and service providers. In the South African context, traffic congestion has become of great concern. Given how the South Africa community is slowly developing towards the use of multi-modes of mobility, the Gautrain network can be used to promote the use of multi-modes of mobility, as the Gautrain has been identified as the backbone of mobility within the Gauteng province. Currently commuters have the option to board the Gaubus (a form of Bus Rapid Transit) at their origin points which will take them to the Gautrain station to board the Gautrain. The problem to be solved arises when a commuter wishes to traverse from any bus stop to the Gautrain station, currently he/she only has one option and if the bus network has a shutdown at any point in the network the commuter’s journey will not be possible. In solving this problem, we consider the problem of graph robustness (that is creating new alternative routes to increase node/bus stop connectivity). We initial use Strava data, to identify locations were cyclist prefer to cycle and at what time of day. In graph theory, the nodes with most spreading ability are called influential nodes. Identification of most influential nodes and ranking them based on their spreading ability is of vital importance. Closeness centrality and betweenness are one of the most commonly used methods to identify influential nodes in complex networks. Using the Gaubus network we identify the influential nodes/ bus stops, using the betweenness centrality measure. The results reveal the influential nodes with the highest connectivity as these have cross-connections in the network. Identification of the influential nodes presents an important implication for future planning, accessibility, and, more generally, quality of life

The Impact of Savings and Credit Cooperatives (SACCOs) on Sustainable Livelihoods in Rural Communities

This study sought to assess the impact of savings and credit cooperatives (SACCOs) on rural sustainable livelihoods using the case of Nekatambe Ward 13 in Hwange district of Matabeleland North province in Zimbabwe. The study adopted a qualitative approach and a descriptive research design which were consistent with the research problem. Using convenience and purposive sampling, local leaders, non-governmental organisation (NGO) officials and members of the existing SACCOs were selected as respondents. The major findings were that SACCOs played a significant role in sustaining rural livelihoods particularly through enabling members to fend for themselves and their families. In addition, NGOs helped cooperatives through capacitating members with knowledge and technical skills and that SACCOs impacted positively on sustaining rural livelihoods. However, quite a number of challenges are associated with SACCOs in their bit to sustain rural livelihoods; with the major ones being failure to recover loans, competition from more established cooperatives, lack of start-up capital, poor financial and managerial skills and the general national economic meltdown. From the study findings, the researchers concluded that, despite the challenges associated with SACCOs, their existence under members’ resilience, has generally improved the lives of people in rural communities to generate employment, boost food production, send their children to school and empower the marginalized among other positive developments. Accordingly, the researchers recommend that SACCOs should diversify their operations and invest in fixed assets in order to curtail challenges and make lucrative benefits that can sustain their families and communities. On the other hand, the government and other concerned stakeholders should support SACCOs in order to alleviate the possible challenges that cripple them in their bid to promote rural livelihood sustainability

Prosecuting gender-based international crimes: An appraisal of the ad hoc tribunals’ jurisprudence

This paper investigates the historical role of international criminal law in addressing human rights violations against women1 during armed conflict, as it obtained at Nuremberg in the 1940s through to the Yugoslavian and Rwandan conflicts in the 1990s. The extent, to which the ad hoc tribunals have contributed to holding individuals accountable for human rights violations of a sexual nature against women, is explored. This paper also defines rape and sexual violence as they obtain at international law, gives an overview of the evolution of the legal treatment of sexual violence, and evaluates the impact of the jurisprudence both from the International Criminal Tribunal for Rwanda (ICTR) and the International Criminal Tribunal for the former Yugoslavia (ICTY), on gender-related crimes to the development of international law. A brief comparison is conducted of the gender legal provisions of the Rome Statute of the International Criminal Court (ICC) with those of the Special Court of Sierra Leone (SCSL) Statute, especially insofar as the ICC seeks to improve the protection of witnesses and victims. The paper concludes by assessing the sufficiency or otherwise of the existing substantive and procedural international law safeguards in punishing perpetrators, taking into account the needs of the victims of gender-related crimes

Exploring the potential of open source data to generate congestion and emission trends in developing cities

Abstract: The growth in Intelligent Transportation Systems (ITS) has enhanced the way mobility in contemporary cities is managed. Given the growth in availability of traffic data that contains location-aware datasets, congestion and pollution indexes can be developed. Metropolitan cities such Johannesburg due to their economic activities, attract commuters into the city on a daily basis seeking greener pastures. This has led to major freeways and roads experiencing high levels of congestion. In 2020, due to a global pandemic of an outbreak of Corona Virus (COVID-19), the national government declared a national shutdown with only essential traffic being allowed to operate. Given the scenario of the national lock-down this allows for the statistical analysis of the impact of essential traffic on the overall transportation system. Consequently the aim of the paper was to explore the congestion and C02 emission impact of essential traffic for the City of Johannesburg. Using an exploratory approach, we monitored and collected traffic congestion data from the Tomtom traffic index for the metropolitan city of Johannesburg, South Africa. Using a mathematic model, we develop a relationship between congestion and pollution to visualise the variations in pollution and congestion levels during varies scenarios. We demonstrate this by comparing datasets for variations in congestion levels in two epochs, viz the period without movement restrictions and the period whereby movement is restricted. The results reveal essential traffic on the congestion index to be below 22 percent for both weekends and weekdays. A scenario common only during weekends in 2019. Whilst for the emission index, C02 levels are approximately less than 45 percent throughout the week. The paper concludes the investment into mining and analysing traffic data has a significantly role for future mobility planning in both the developed and developing world and, more generally, improving the quality of commuting trips in the city

Effects of water and nutrient addition on the coppice growth response of cut Terminalia sericea.

The ability of a woody plant to coppice and remain vigorous largely depends on the severity of disturbances, resource availability and the mobilisation of stored reserves. There is limited information about the role played by resource limitation on the recovery of cut trees. This study investigated the effects of water and nutrient supplementation on coppice growth responses of resprouting cut trees in a semi-arid savannah in South Africa. Cut trees were exposed to different levels of water and nutrient (nitrogen and phosphorus) supplementation over a period of 2 years in a factorial experimental design. We hypothesised that adding water and nutrients would result in an increased coppice growth response and replenishment of stored structural reserves. Adding water and nutrients significantly increased shoot diameter, shoot length and resprouting ratio for the initial 12 months after cutting but not stored structural reserves. Such a response pattern suggests that the initial growth of resprouting shoots may be strongly resource-limited, while resources are concentrated on supporting fewer resprouting shoots compared to a higher number. Conservation implications: If practicing rotational tree harvesting, trees resprouting in resource-poor locations need a longer resting period to recover stored reserves and to also recover lost height after cutting.This research was funded by the Mellon Foundation and the Centre for Tree Health and Biotechnology (FABI, University of Pretoria).SP201

Teaching and learning English as a Home Language in a predominantly non-native English classroom: A study from KwaZulu-Natal1

This study focuses on a secondary school in an Indian-African suburb of Merewent in KwaZulu-Natal, an example of a suburban school where English as a Home Language (EHL) is taught to a majority of non-native English learners from township schools. The EHL classrooms were investigated for ‘communicativeness’ and then compared to English as a Second Language (ESL) classrooms. It might be expected that EHL classrooms would exhibit an affinity with ESL classrooms. However, although non-native EHL has many aspects in common with ESL, there were significant differences between the two. The most important difference from the standpoint of Communicative Language Teaching (CLT) was in the learning content selection, with the EHL settings using more literary works, and so focusing less on the direct teaching of grammatical forms. However, a disturbing pattern was the inability of the learners in both sets of settings to take full advantage of CLT, which suggested that the learners might not be at the appropriate level of language development.Keywords: English as Home Language (EHL), non-native English learners, township schools, English as a Second Language (ESL), Communicative Language Teaching (CLT), language developmen

An analysis to investigate spatial cognitive factors which influence cycling patterns in Johannesburg

Abstract: Cycling in most African cities is done as either a mode of commuting or for recreational purposes. Apart from Smart cities encouraging a shift from cars to public transport by providing efficient last-mile connections, commuter cycling can take a significant share of end-to-end short distance trips. The ultimate realization of cycling merits by urban dwellers, (such as in Johannesburg, South Africa) is hindered by a lack of appropriate data to aid in understanding the dynamics of cycling behaviour. This paper seeks to be the first step in building a multi-model to govern the use of multi-modes of mobility in the city by initial focusing on promoting NMT usage as a mode of commuting in the city. Identification of these factors would go a long way in improving cycling uptake as well as inform policy strategies for non-motorized transportation in the city. Using an analytical approach, the authors conducted a survey along pre-known locations were cyclist choose to cycle. One route with newly developed cycling infrastructure and another without cycling infrastructure. A self-reported travel behaviour form, was used for the collection of spatial cognitive and attitudinal data on participants’ travel environment, attitude, behaviour, norm, intention, and habit was utilized to gather data to understand cyclist cognitive reasoning for choosing one path over another. The data collected from the survey was then overlaid with Strava Metro cycling data showing locations were cyclist prefer to cycle in the city. Findings from the analysis suggest perceived safe routes and routes that maximize health benefits are preferred. Based on the findings it is recommended that planners need to use crowd sourced data before developing infrastructure for cycling the city

Macrophage transactivation for chemokine production identified as a negative regulator of granulomatous inflammation using agent-based modeling

Cellular activation in trans by interferons, cytokines and chemokines is a commonly recognized mechanism to amplify immune effector function and limit pathogen spread. However, an optimal host response also requires that collateral damage associated with inflammation is limited. This may be particularly so in the case of granulomatous inflammation, where an excessive number and / or excessively florid granulomas can have significant pathological consequences. Here, we have combined transcriptomics, agent-based modeling and in vivo experimental approaches to study constraints on hepatic granuloma formation in a murine model of experimental leishmaniasis. We demonstrate that chemokine production by non-infected Kupffer cells in the Leishmania donovani-infected liver promotes competition with infected KCs for available iNKT cells, ultimately inhibiting the extent of granulomatous inflammation. We propose trans-activation for chemokine production as a novel broadly applicable mechanism that may operate early in infection to limit excessive focal inflammation