Covenant University

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14-Years Aerosol Fingerprint Impact and Implications Over Daloa in Western Ivory Coast
(2019) Emetere ME; Okoro EE; Sanni SE
This study reports the trend and impact of aerosol loading over Duola from 2000 – 2013 using aerosol optical depth (AOD) data obtained for particulate matter in the region. The dataset was obtained from the Multi-angle Imaging Spectro-Radiometer (MISR). The secondary datasets that were generated from the primary data were aerosol loading, particles sizes, Angstrom parameter and the statistics of the primary dataset. We observed from the primary dataset that the aerosol loading values for the years under consideration varied but higher values were recorded in the years 2000 and 2007-2013. These high aerosol depths informed high aerosol concentrations over Duola from October through May. Years of high aerosol concentrations in the atmosphere were potential threats to human health; with high concentration of aerosol particles, the government should adopt and implement stricter environmental policies to reduce the industrial and human contributions to these air pollution. The Angstrom values calculations over the years were less than 1, thus, the aerosol particle size indicates size distributions dominated by coarse mode aerosols.
A GIS – based method for assessment and mapping of noise pollution in Ota metropolis, Nigeria
(2019) Oyedepo SO; Adeyemi GA; Olawole OC; Ohijeagbon OI; Fagbemi OK; Solomon R; Ongbali SO; Babalola OP; Dirisu JO; Efemwenkiekie UK; Adekeye T; Nwaokocha CN
A detailed method used for assessing and mapping noise pollution levels in Ota metropolis, Nigeria using ArcGIS 10.5 Software is presented in this paper. Noise readings were measured at a time interval of 30 min for each site considered using a precision grade sound level meter. The noise map developed was based on the computed values of average equivalent noise (LAeq) for the selected locations. Results of this study show that the A weighted sound level (LAeq), the background noise level (L10) and the peak noise level (L90) vary with location and period of the day due to traffic characteristics especially traffic volume, vehicle horns, vehicle mounted speakers, and unmuffled vehicles at road Junctions, major roads, motor parks and commercial centres. Based on the U.S. Department of Housing and Urban Development (HUD) recommendations and standards, only one (1) out of the 41 locations considered is under normally acceptable situation, while 12 locations are under normally unacceptable and the noise levels of the rest locations are clearly unacceptable. Results of this study are useful as reference and guideline for future planning and regulations on noise limit to be implemented for urban areas like Ota Metropolis. •Instrumentation used in this study for the environmental noise measurements consisted of a precision-grade sound-level meter – Model 8922 RS232.•The Geographical Positioning System (GPS) device (model: Magellan eXplorist 310) was used to obtain the exact coordinates of each location where noise level readings were recorded.•ArcGIS 10.5 software was used in this study to develop noise map for Ota Metropolis.
Agro-residues for clean electricity: in-lab trial of power generation from blended cocoa-kolanut wastes
(2022) Ajewole TO; Aworinde AK; Okedere OB; Somefun TE
As a way of wastes-to-voltage conversion, experimental benchtest trial of electricity generation from a blend of cocoa and kolanut harvest by-products is presented in this study. Bioethanol obtained from the blend, through a process of alcoholic fermentation, was mixed with gasoline at specific proportion and employed to fire a spark ignition engine that served as a prime-mover in driving a four-pole three-phase salient-pole synchronous machine. Performance of the driving machine, as the fuel-mix proportion and its speed of rotation varied, was studied. Likewise, the electric power output characteristic of the driven machine, when operated at its rated synchronous speed, was examined. It was found that the driving machine performed better on mixed fuel than pure gasoline. There were gradual increases in the torque and the power developed by the machine as the proportion of ethanol in the fuel-mix and the rotational speed increased. While the highest values of torque and power developed on using pure gasoline were 12.4 Nm and 2574 W respectively at 1900 rpm, 13.1 Nm torque and 2953 W power were obtained from the machine when ignited with 10%-bioethanol fuel-mix at the same speed. Also, with 90 Vdc excitation voltage and rotation at 1500 rpm synchronous speed, the driven machine continuously generated electricity at 207.6 Vrms (line-to-line), 1.169 A, 0.698 power factor, 48.17 Hz, 0.294 kW output. This study demonstrated the possibility of continuous generation of electric power from cocoa and kolanut wastes. Result obtained from the laboratory-based trial indicates that at such agricultural regions that are advantaged in the production of the two crops, harvest residues of the crops can be explored as a steady source of biofuel for off-grid microgrid electrification.
Air pollution assessment: a preliminary study towards citing industry
(2019) Emetere ME; Okoro EE; Adeyemi GA; Sanni SE
The spate of increased air pollution in the study area is a source of concern. In this research, we examine the spatial distribution of atmospheric aerosol and its danger to the life form that resides therein. Fifteen years primary (aerosol optical depth) dataset was obtained from the Multi-angle Imaging Spectro-Radiometer (MISR). The secondary datasets that was generated from the primary data were aerosol loading, particles sizes, Angstrom parameter and the statistics of the primary dataset. It was observed that if not controlled, the life form in the research area may be under unimaginable danger in the near future. Hence, industrialization projects would require the dataset for environmental assessment before citing industry in the geographical area.
An Overview of a Prolific University from Sustainable and Policy Perspective
(2019) Fayomi OO; Okokpujie IP; Fayomi OS; Udoye NE
This paper is centred on the holistic perspective of prolific university of the world leading university as a guild to Africa university and the lacking factor of Africa University in meeting up new standard in years to come. It compares the best Universities in the world on educational performance such as strength of the best University, Capacity of the prolific University, Research strength of the prolific University, staff input and welfare of the staff and global University rankings. The study involves higher education system, government policies for academic research and related factors to improve the proper running of education system to meet global demands. Furthermore, paper compared academic faculty and staff strength of the two best Universities in the six continents of the world, comprising of Africa. Asia, Austria/Oceania, Europe, North America and South America. Effort is geared towards the management research metrics performance, Total student intake, Faculty –Student ratio, World university rankings and overall score. Finally, this research also discus about a few challenges in university education and their possible solutions in terms of funding research projects, providing adequate training to faculty and staff, and setup committee to give quality academic structure and measures in a better academic environment. There are needs to develop a policy perspective that will aid the African Universities to increase their quality and standard their university to meet up with the world university standard.
APPLICATION OF CRIME PREVENTION THROUGH ENVIRONMENTAL DESIGN STRATEGIES IN THE DESIGN OF A CONVENTION CENTRE, IKHUENIRO, BENIN-CITY
(2022) UMOREN, PRECIOUS ANIETIE
The rise of insurgency and insecurity in Nigeria necessitates the provision of secure spaces, particularly public spaces. Convention centres are public facilities that make up an intricate part of the tourism industry. Such may be crime-prone areas causing a lack of motivation for users' to visit facilities that fail to provide a feeling of safety and security. Previous studies have assessed Crime Prevention Through Environmental Design (CPTED) principles and their application as crime prevention strategies in the built environment. Due to the possibility of crime associated with public spaces, in this case, Convention centres, CPTED strategies are analysed from existing literature and case studies to ascertain their relevance and efficiency in achieving optimum security in the proposed Convention centre. Hence, this research aims to design a Convention centre in Benin, Edo State, Nigeria, that integrates the principles of CPTED within the Convention centre environment. The study answered questions on Crime Prevention Strategies through existing literature, the CPTED strategies adopted in selected Convention centres, and the level of user satisfaction with security in the chosen facilities to achieve the study's objectives through adopting a mixed method. The research method facilitated qualitative and quantitative data acquisition as the research findings. The data obtained is analysed with content analysis and Statistical Package for Social Sciences (SPSS). The data presentation of the result includes tables, and pictures, with the analysis showing users' general satisfaction with security in the selected Convention centres, which encourages the facility usage. The study further elucidates how suitable design, planning, and application of Crime Prevention Through Environmental Design principles from the project's conceptual stage. Integrating proper landscaping, material selection, site zoning, and overall spatial requirement can enhance security for crime prevention.
ARTIFICIAL INTELLIGENCE DRIVEN ENERGY MANAGEMENT OF A HYBRID MINI-GRID
(2022) BELLO, ILESANMI OLUWAYOMI
With the driving theme of sustainability in our world today, it is imperative to consider approaches to reduce the carbon footprint on a global scale. One critical area is in the generation and distribution of energy supply. In the management of energy, various methodologies have been implemented especially in the area of Demand Side Management where a lot of research work has been done. However, while it is very important for the consumer to be very efficient in their consumption of energy, it is also quite critical that energy supply is properly managed such that even though the demand is optimized, the supply also needs to be properly optimized to avoid energy wastage. This work has contributed to the ongoing research for Supply Side Management by adopting two heuristic artificial intelligence models – Fuzzy logic for intelligent decisions and Genetic Algorithm (GA) for optimizing the energy supplied to consumers. The fuzzy logic helps in predicting the demand and optimizing it for the required supply while the GA helps to clean up the minimization function for the optimization of the supply of energy. This model is applicable to any energy system – on-grid and off-grid application.
ASSESSMENT OF ASPARTAME AS A GREEN AND EFFECTIVE CORROSION INHIBITOR FOR T95 CARBON STEEL IN STRONG HCl SOLUTIONS
(2022) UZOMA, IFEANYI EMMANUEL
Oil well acidizing, although a stimulation process, induce the corrosion of metallic equipment and well tubings. It is a necessity to use an effective corrosion inhibitor during oil well acidizing. However, current acidizing inhibitors, although effective are toxic to the natural environment and in some cases, very expensive. There is therefore, at present a high demand of effective, low-cost, and less toxic corrosion inhibitor for acidizing process. This work was thus designed to formulate a green and low-cost inhibitor formulation based on Aspartame (ASP) that can compete favourably with the commercially available acidizing corrosion inhibitors. The inhibitive effect of ASP for T95 CS in 15 and 28 wt.% HCl solution at 60, 70, 80, and 90oC was investigated using the weight loss, electrochemical impedance spectroscopy (EIS), potentiodynamic polarization (PDP), scanning electron microscope (SEM), energy dispersive spectroscopy (EDX), and optical profilometry (OP) techniques. Results from the weight loss and the electrochemical techiniques show that the retardation efficacy of ASP enhances with increase in concentration and temperature. At 90oC and 2000 ppm of ASP, inhibition efficiency of 85% and 88% is obtained in 15 wt.% and 28 wt.% HCl solution, respectively. Following the variation of inhibition efficiency of ASP with temperature, chemisorption mechanism is proposed for the adsorption of ASP onto the T95 CS surface in both 15 wt% and 28 wt.% HCl solution. In order to enhance the inhibitive performance of ASP, studies were undertaken to ascertain whether or not there is synergistic effect between ASP, potassium iodide (KI), and sodium dodecylsulfate (SDS). Results from weight loss studies reveal that synergistic effect existed between ASP, KI, and SDS especially at 90oC. Based on the synergistic studies, ASP-based cocktail was formulated in a ratio of 2 (ASP): 0.1 (KI): 0.1 (SDS). The formulation performed outstandingly at the studied corrosive media. At 90oC, 2000 ppm of the formulation exhibits inhibition efficiency of 92% and 96% in 15 wt% and 28 wt.% HCl solution, respectively from EIS technique. A comparison of the performance of the formulation with that of a commercially available acidizing inhibitor reveals that, the formulation perform better than the commercial inhibitor in 28 wt.% HCl solution but compete considerably in 15 wt% solution. The PDP results reveal that ASP alone and in combination with additives acted as a mixed-type corrosion inhibitor in the studied environment and inhibited both the anodic oxidation and cathodic reduction reactions. The SEM, OP, and EDX results confirmed the adsorption and high inhibitive performance of ASP-based inhibitor. The ASP-based formulation is a potential inhibitor for oil well acidizing process.
Assessment of background radionuclides and gamma dose rate distribution in Urban-setting and its radiological significance
(2020) Joel ES; De DK; Omeje M; Adewoyin O; Olawole OC; Akinwumi A; Erubami S; Adeyemi GA
Background Awareness of the dangers associated with exposure to high radiation in the environment is necessary to avoid its health impact, especially when staying in-door. Method Assessment of gamma dose rate and radionuclides in urban settings of Ota has been carried out using a hand-held gamma detector to determine the hotspot of high radionuclides concentration in the study area. In this study, eighteen (18) stations were covered, gamma dose rate and radio-nuclides (Uranium-238, Thorium-232, and Potassium-40) emitting from the subsurface were measured. Results The result showed that the mean value for the measured dose rate of 45.06 nGh−1 is below the suggested value of 84 nGh−1 while the estimated mean values for the radionuclides are were 23.81, 45.35 and 77.82 Bq/kg respectively. The evaluated radium equivalent (Raeq), internal index (Hin), external index (Hex) and gamma index (Iy) ranges from 70.92 to 128.70 Bq/kg, 0.24 to 0.41, 0.19 to 0.35 and 0.25 to 0.46 respectively. Furthermore, the estimated value of the alpha index ranged between 0.05 and 0.15, and an annual effective dose rate from 0.33 to 0.55. The estimated mean value of excess cancer lifetime risk is 0.0015. Conclusions Therefore, the study suggests that the study area is safe for the residents. However, radioactivity concentration emanating from the subsurface of the setting should be monitored to avoid the environmental-health implication of accumulation of low gamma-dose, which can cause cancer of the lung due to anthropogenic activities.
CLASSIFICATION OF OUTCOMES OF ENGLISH PREMIER LEAGUE MATCHES USING MACHINE LEARNING MODELS
(2022) IYIOLA, TOMILAYO PROMISE
Football remains an important sport in the world and it has a lot of followers. Researchers are often interested in the analysis of the results of football matches, which helps in the prediction or classification of outcomes (results) of football matches based on some variables. Most of the available models of prediction and classification of outcomes are based on a selected variable or a large number of variables. The use of a few variables can not predict accurately and the use of large variables leads to the problem of interpretation (Parsimony). This work used feature selection methods to reduce sixteen selected independent variables (football related) to six variables in the classification of the outcome variable (home win, away win, and draw) of five seasons of English premier league matches. As expected, a home win is a modal observation in all five seasons. The Kruskal Wallis test showed that the median outcome was not the same for the five seasons, while four machine learning models classified the outcome using the six best variables recommended via the feature selection. Furthermore, the result of the first half and second half was used to classify the final outcome. Five performance metrics attest that the ML models are good in the classification. Cross-Validation ensured that the issues of over-fitting were adequately addressed. Bookmakers may find this research interesting as some variables were identified as key to the classification of outcomes of football matches.
Comparative assessment of data obtained using empirical models for path loss predictions in a university campus environment
(2018) Popoola SI; Atayero AA; Popoola OA
Empirical models are most widely used for path loss predictions because they are simple, easy to use, and require less computational efficiency when compared to deterministic models. A number of empirical path loss models have been developed for efficient radio network planning and optimization in different types of propagation environments. However, data that prove the suitability of these models for path loss predictions in a typical university campus propagation environment are yet to be reported in the literature. In this data article, empirical prediction models are comparatively assessed using the path loss data measured and predicted for a university campus environment. Field measurement campaigns are conducted at 1800 MHz radio frequency to log the actual path losses along three major routes within the campus of Covenant University, Nigeria. Path loss values are computed along the three measurement routes based on four popular empirical path loss models (Okumura-Hata, COST 231, ECC-33, and Egli). Datasets containing measured and predicted path loss values are presented in a spreadsheet file, which is attached to this data article as supplementary material. Path loss prediction data of the empirical models are compared to those of the measured path loss using first-order statistics, boxplot representations, tables, and graphs. In addition, correlation analysis, Analysis of Variance (ANOVA), and multiple comparison post-hoc tests are performed. The prediction accuracies of the empirical models are evaluated based on Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Standard Error Deviation (SED). In conclusion, the high-resolution path loss prediction datasets and the rich data exploration provided in this data article will help radio network engineers and academic researchers to determine the empirical model that is most suitable for path loss prediction in a typical university campus environment.
Comparison between experimental and satellite temperature datasets in Covenant University
(2018) Akinwumi SA; Omotosho TV; Usikalu MR; Odetunmibi OA; Ometan OO; Adewusi MO; Omeje M; Joel ES
This article contains the ground and satellite meteorological data sets of clear-sky temperature events for five years (2012–2016) in Covenant University, Ota, Ogun State, Nigeria. The satellite data were obtained from Atmospheric Infrared Sounder (AIRS) while the ground data information were acquired from Davis weather station data logger-vantage pro2. These data were acquired from propagation study that used same location (Lat: 6.67°N and Long: 3.23°E) for both satellite data and radiometer directed along the same path by providing information about the temperature. The data sets were assessed and evaluated by means of a descriptive statistics. There was perfect agreement between the two data. The peak temperature events occurs between the months of November and April for the five years of observation for both Ota and AIRS Satellite. The data from this article can be used for further studies on non-rainy attenuation effect in the study area.
Computation of human health risk in surface water in Ado-Odo Ota, Ogun State, Nigeria
(2018) Samuel OA; Theophilus TI; Praise God EC; Winifred AU
Heavy metals find their way into surface and groundwater due to degrading environmental conditions, and as such consistent monitoring to avoid the adverse health implications associated with the consumption of polluted water is required. This study examined the concentrations for Lead (Pb), Nickel (Ni), Zinc (Zn), Chromium (Cr), Cadmium (Cd), Copper (Cu) and Arsenic (As) in the Surface water of River Balogun in Ota, Ogun State, Nigeria during the wet season and estimated the human health risk resulting from prolonged consumption by children and adult of dissimilar age groups without treatment. Although there were persistent occurrence of Nickel (Ni), Copper (Cu), Zinc (Zn) and Arsenic (As) in all stations sampled, the health risk assessment conducted revealed that both population groups are more likely to be affected by high concentration levels of Arsenic than any other Heavy metal present.
CONTEXT-AWARE RECOMMENDATION SYSTEM IN ECOMMERCE USING A DOMAIN SPECIFIC CHATBOT
(2022) MARTINS, ISAAC IKENNA
Recommendation systems are used in almost every e-commerce platform. With the amount of information increasing every day with almost unlimited products available, users tend to find it difficult to make a decision on these products. This research aims to develop a context-aware recommendation system that communicates to the user through a domain specific chatbot. The chatbot converses in three languages, English, Yoruba and Igbo. In this research, language is brought in as context to address existing gaps in literature related to e-commerce recommendation system. The developed system contains three main components they include, collaborative filtering, content based recommendation system and a chatbot. The collaborative and content-based recommendation systems uses user ratings and genre as the input to the cosine similarity and tf-idf functions. The chatbot was trained using a Keras sequential API, which created a deep neural network, and an interface was designed using python library tkinter and customtkinter. The chatbot uses a json file that contains the intents, and the recommendation systems use a modified 100k movielens dataset that contains Hollywood and Nollywood movies. The developed system is able to contribute to existing body of knowledge by generating an indigenous language corpus that can be used and modified by future researchs related to conversational system particularly in ecommerce recommendation. This research, will enable ecommerce platforms improve customer satisfaction, which would lead to improved revenue. In the aspect of trust, users will be able to have conversation with the system through the chatbot, which can increase trust between the users and the platform.
CORPORATE SOCIAL AND ENVIRONMENTAL PERFORMANCE, CONSERVATIVE ACCOUNTING PRACTICES AND THE MARKET VALUE OF LISTED FIRMS IN NIGERIA
(2022) ILOGHO, SIMON OSIREGBEMHE
Corporate environmental and social activities are expected to improve the value of firms in the long term. However, when corporate social and environmental performance activities negatively affect a firm's value, as some reviewed studies revealed, this causes problems when rational decisions are made, and firms choose not to invest in these activities. This disparity in results was successfully explained by certain factors like the level of conservative accounting practice inherent in the preparation of financial reports. The study introduced a moderator (conservative accounting practices) to analyse its effect on corporate social and environmental performance and the market value of listed firms in Nigeria. Also, the study examined firms separately based on their environmental sensitivity categorisation. One hundred and thirty-one firms listed in the Nigerian Exchange Group were examined across the eleven sectors with sixyear observations (2014 2019). Data were collected from secondary sources such as annual reports, sustainability reports, websites and any publication by the examined companies. Panel least square regression was employed as a data analysis method for testing hypotheses. The findings revealed an insignificant influence of corporate environmental and social performance on the market value separately. This result reveals that social and environmental performance activities are insufficient to impact firm value. The findings also revealed an insignificant influence of conservative accounting practice on the market value. When the study introduced conservative accounting practice as a moderator, the results revealed the complementary moderating influence of conservative accounting practices on the value of environmental The results also revealed the moderating influence of conservative accounting practices on the significance. These results are in line with the A-priori expectation. The thesis recommends that conservative accounting practices be engaged when firms are involved in social and environmental activities because of their moderating effect, and conservative accounting practices improve reporting quality. Managers are expected to increase their social and environmentally friendly activities to improve the significance of their influence on the value of their firms. Because of their positive coefficient, environmental activities such as product innovations should be focused on. However, one of the policy implications encourages the manager to ensure that the financial and non-financial cost of engaging in socially and environmentally friendly activities in Nigeria is not detrimental to the going concern of the business.
Corrosion inhibition of A36 mild steel in 0.5 M acid medium using waste citrus limonum peels
(2022) Ayoola AA; Babalola R; Durodola BM; Alagbe EE; Agboola O; Adegbile EO
Research effort is being intensified on the establishment of organic substances that can actively perform the role of metal inhibition. Investigation on corrosion inhibition of A36 mild steel in 0.5 M H2SO4 medium using waste citrus limonum peels as inhibitor was carried out. Gravimetric tests (weight loss, corrosion rate and inhibition efficiency) involving the variation of citrus limonum peels inhibitor concentration (0–4 w/v%), corrosion time (0–12 h) and reaction temperature (28 °C and 45 °C) were conducted. Langmuir and Freundlich adsorption isotherms were considered in the establishment of the adsorption behavior of citrus limonum peels inhibitor on A36 mild steel surface. The thermodynamic parameters (adsorption equilibrium constant kads, change in Gibbs free energy ΔGads, change in heat of adsorption ΔHads and entropy change ΔSads) of the adsorbed inhibitor on mild steel surface were determined. The results of the study showed that 0.4 w/v% citrus limonum concentration gave highest inhibition efficiency of 94% and 92% on A36 mild steel at 28 °C and 45 °C respectively. And the surface adsorption of citrus limonum inhibitor on A36 mild steel was described by both the Langmuir and Freundlich adsorption isotherms. The negative values of ΔS, ΔGads, ΔHads indicated that the inhibitor adsorption is exothermic and spontaneous (physical adsorption). SEM/EDX analysis showed that inhibitor adsorption of citrus limonum was better at 28 °C compare to 45 °C, by giving a more evenly distributed particles at 0.4 w/v% inhibitor concentration.
Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township
(2018) Fayomi GU; Wusu O; Mini SE; Fayomi OS; Kilanko O
This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society.
Data based investigation of the energy metering type, billing and usage of sampled residents of Ota Community in Nigeria
(2018) Adekitan AI; Adetokun BB; Aligbe A; Shomefun T; Orimogunje A
Accurate energy metering and billing is a challenge in some developing countries. In Nigeria, the issues of inadequate power generation, transmission and distribution infrastructure are recurrent problems, coupled with inefficient energy metering which is a major problem that results in residential energy consumers being billed unfair energy charges by the Electricity Distribution Companies (DISCOs) for unused energy, and this has been termed “crazy bill”. For the energy sector to be effective, energy bills should be based on the actual energy usage and likewise customers must pay for used energy. To achieve this, the Nigerian Electricity Regulatory Commission (NERC) recommended the installation of prepaid meters for all customers, but as at today, there is no full compliance with this regulation. Power supply is grossly unreliable, and this has affected power quality due to frequent load shedding and power outages. The dataset presented in this article captures the type of apartment, the type of electrical appliances used by occupant, the average monthly energy bill paid for electricity, the use or non-use of alternative energy sources, the type of alternative energy sources used, and the type of energy meter used by sampled residents of the Ota community in Ogun State, Nigeria. The dataset was acquired using an investigative questionnaire to survey the residential consumers within the sampled space.
Data on artificial neural network and response surface methodology analysis of biodiesel production
(2020) Ayoola AA; Hymore FK; Omonhinmin CA; Babalola PO; Bolujo EO; Adeyemi GA; Babalola R; Olafadehan OA
The biodiesel production from waste soybean oil (using NaOH and KOH catalysts independently) was investigated in this study. The use of optimization tools (artificial neural network, ANN, and response surface methodology, RSM) for the modelling of the relationship between biodiesel yield and process parameters was carried out. The variables employed in the experimental design of biodiesel yields were methanol-oil mole ratio (6 – 12), catalyst concentration (0.7 – 1.7 wt/wt%), reaction temperature (48 – 62°C) and reaction time (50 – 90 min). Also, the usefulness of both the RSM and ANN tools in the accurate prediction of the regression models were revealed, with values of R-sq being 0.93 and 0.98 for RSM and ANN respectively.
Data on entrepreneurship education and entrepreneurial performance of aspiring entrepreneurs in selected Nigerian universities
(2018) Ogbari ME; Olokundun MA; Uzuegbunam J; Isiavwe DT; Ilogho JE; Obi JN; Moses CL
Entrepreneurs are individuals who have a constant feeling of desperation that is from time to time seen in organizations. While the number of entrepreneurship education programmes are increasing, their impact is under-researched and studies paint an unclear picture of the impact of entrepreneurship education. This present study presents data on the extent to which university entrepreneurship education programmes stimulate the entrepreneurial performance of aspiring entrepreneurs in Nigeria. Data was collected using a descriptive cross-sectional quantitative survey conducted among university students (N = 540) of selected institutions in Nigeria. Regression Analysis was used in confirming the hypotheses proposed in the study using the Statistical Package for Social Sciences (SPSS) version 22. University entrepreneurship education is confirmed to be a major source of inspirational triggers that positively impact on entrepreneurial performance of aspiring entrepreneurs in the selected universities in Nigeria. The field data set is made widely accessible to allow for critical inquiry.

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