Characteristics of Early Ecclesiastical Architecture in Lagos State in Nigeria

Considering the fact that the period between 1854 and 1929AD has been identified as the first phase of emergence and development of ecclesiastical architecture in Nigeria, this, therefore, became the earliest period and this study examined the characteristics of the church buildings during this period. Among the churches that were built during this period, five were significantly prominent and still exist. This study examined two because those buildings shared similar characteristics. As the study was an explorative one and historical in nature it adopted qualitative method of non-participant observation, historical and unstructured interview methods of gathering data using descriptive method of analysis. This study found that Churches were dominated by foreign established missions as indigenous ones were yet to evolve. Gothic style dominated the period characterised by its usual strong focus on verticality, pointed arches, rib vaults, flying buttresses, large stained glass windows, ornaments and pinnacles. Construction works and financing relied heavily on foreign input. It also noted that construction materials were imported and the church buildings were more of foreign monuments rather than industrial or make-shift. Nigerian cultural, geographical, geological, climatic, existing religious and social factors were not major considerations. The study concluded that the characteristics of the early church buildings were significantly at variance with the current trends

The snowball effects of practices that compromise the credibility and integrity of higher education

Practices that compromise the credibility and integrity of higher education have been reported globally. These take place at all stages in the higher education delivery value chain, from student admission to assessment (including tests, assignments and examinations) and certification. Even in research-based postgraduate studies, the bane of plagiarism continues to evolve with time as dishonest students and academics relentlessly find ways of cheating the system. The central thesis of this paper is that the negative consequences of the acts or practices that compromise the credibility and integrity of higher education do not only affect individuals, but they also affect the entire cohort of students, the higher institution concerned, the broad higher education sector, the economic system and the socio-cultural system. Therefore, these practices have a snowball effect on the entire education system. The paper argues that, overall, these practices result in “inequity among and unfairness” to individuals. It is, therefore, of paramount importance that sustainable solutions of curbing this social ill are explored and implemented because dealing with consequences will be too costly

Evaluation of Asset Pricing Models in the South African Equities Market

Asset pricing models have been of interest since their origin in modern finance. The Capital Asset Pricing Model is a widely used tool and is one of the early developed asset pricing models in modern finance. There are continual improvements of this model with the evident multifactor models of Fama and French (2015), Carhart (1997) and the South African two – factor arbitrage pricing models of Van Rensburg (2002) and Laird-Smith et al. (2016). This research empirically investigates the performance of eight-different multi-factor asset pricing models in describing average portfolio returns in the South African Johannesburg Stock Exchange. We find that the Carhart (1997) four factor model comprising of the market factor, size factor, value factor and the momentum factor is the most parsimonious model and thus better explains the average portfolio returns in the South African JSE. This model is an improvement of the Fama and French (1992) three factor model. Additionally, we investigate the performance of the two factor Asset Pricing Theory (APT) model of Laird-Smith et al. (2016) and Van Rensburg (2002) that consists of the South African Financial Index (SAFI) and the South African Resources Index (SARI). We observe that the model performs better than the traditional CAPM that is widely used in industry. Adding the SAFI and the SARI to the six-factor model results in an eight-factor model that has a significant improvement in explaining average returns. The results indicate that the market factor, the South African Financial Index and the South African Resources Index (SARI) poorly explain each other but their linear combination improves the eight-factor asset pricing model in explaining average portfolio returns in the South African market. The eight – factor model comprises of the market, size, value, investment, profitability, momentum factors and the two South African indices namely, the South African Financials Index (SAFI) and the South African Resources Index (SARI)

The role of livestock in developing communities: Enhancing multifunctionality

This book is the product of a Satellite Symposium on the Role of Livestock in Developing Communities: Enhancing Multifunctionality, held as part of the 10th World Conference on Animal Production (WCAP) in Cape Town, 22 – 28 November 2008. The Symposium, jointly organised by the University of the Free State (UFS) and the International Livestock Research Institute (ILRI) aimed to stimulate critical thinking on the role of livestock in livelihood strategies for the poor in the developing world as a contribution to address the Millennium Development Goals (MDGs). The livestock sector in developing countries contributes more than 33% to agricultural Gross Domestic Product (GDP), and is one of the fastest growing agricultural subsectors. The livestock sector has been experiencing what has been coined the “Livestock Revolution”. Population growth, urbanisation, and most importantly, increasing income have resulted in a rapid increase in demand for livestock products, which is likely to continue well into the future. This growth of the livestock sector presents both enormous opportunities and challenges. This book therefore comes at an opportune time for both policy makers and practitioners in developing countries, and the international community. Livestock is a major contributor to food and nutritional security, and serves as an important source of livelihood for nearly 1 billion poor people in developing countries. Its importance in attaining the MDGs should therefore not be underestimated. The book aims to provide critical information and knowledge on the importance of livestock in the global effort to alleviate poverty and promote human health. It describes and evaluates case studies, examines theoretical frameworks, and discusses key global policy development issues, challenges and constraints related to smallholder livestock-production systems around the globe. The book is written for academic professionals, industry experts, government officials and other scholars interested in the facts and issues concerning the contribution of livestock to the social and economic progress of developing countries

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

Fundamental influences related to language-based difficulties in financial mathematics

Motivated in part by a sustained amount of research in South Africa and principally guided by techniques of problem-solving suggested by Polya as well as error analysis by Newman, the current research examines fundamental influencers (underlying factors) relating errors due to language difficulties in financial mathematics concerning the language of instruction. The current research was accomplished using a case study design. The sample size was 105 out of a population of 186, with assumption of confidence and precision levels at 95 per cent and 0.5 respectively. The aim of the study was addressed by using both sets of structured-interview and document analysis for collecting data. Analysis of data was conducted by both content analysis as well as correlation analysis, wherein, the analysis revealed that errors committed by learners in financial mathematics were due to language difficulties. In contrast, misinterpretation of the mathematical semantics was not as a result of not indicating answers as expected, not following instructions, and not understanding instructions

Nutritional characterization of Moringa (Moringa oleifera Lam.) leaves

Moringa (Moringa oleifera Lam. moringaceae) is a highly valued plant that is mostly cultivated in the tropics and subtropics. It is used for food, medication and industrial purposes. The objective of the study was to assess the nutritional value of Moringa leaves of the South African ecotype. Proximate and Van Soest methods were used to determine the nutritional value of Moringa leaves. The dried leaves had crude protein levels of 30.3% and 19 amino acids. The dried leaves had the following mineral contents: calcium (3.65%), phoshorus (0.3%), magnesium (0.5%), potassium (1.5%), sodium (0.164%), sulphur (0.63%), zinc (13.03 mg/kg), copper (8.25%), manganese (86.8 mg/kg), iron (490 mg/kg) and selenium (363 mg/kg). 17 fatty acids were observed with α-Linolenic acid (44.57%) having the highest value followed by heneicosanoic (14.41%), g-linolenic (0.20%) palmiteic (0.17%) and capric acid (0.07%). Vitamin E had the highest concentration of 77 mg/100 g than beta-carotene, which had 18.5 mg/100 g in the dried leaves. The fiber content was neutral detergent fibre (NDF) (11.4%), acid detergent  fibre (ADF) (8.49%), acid detergent lignin (ADL) (1.8%) and (acid detergent cellulose (ADC) (4.01%). The condensed tannins had a value of 3.2%, while total polyphenols were 2.02%. The values of amino acids, fatty acids, minerals and vitamin profiles reflect a desirable nutritional balance.Key words: South African, supplemental food, nutritional value, Moringa oleifera