Julius Olatunji Okesola

Agriculture is one of Nigeria’s most important economic activities but with climate change is a threat to crop production and a significant impact on the national economy as unforeseen scenarios can cause a drop in crop yield. Machine learning algorithms are now being considered as decision support tools for crop yields prediction and weather forecasting. Maize is the crop selected in this study, and a stochastic gradient model of five popular regression algorithms was evaluated. The prediction system is written in Python programming language and linked to a web-based interface for ease of use and effectiveness. Using performance metrics, the result shows that stochastic gradient descent (SGD) performed best with lower error rates and better R2_score value of 0.98505036. This crop yield prediction system (CYPS) is able to predict the yield of the crop which will help farmers and analysts in decision-making. It will also help industries that make use of the agricultural product in strategizing the logistics of their business.

Background A systematic literature review (SLR) is a research methodology that examines data and findings of other authors relative to specified research questions (RQ), collects multiple research studies, and summarises them to answer a research question using rigorous methods. Many SLRs have been published on uterine fibroids (UFs) in the last two decades but there is a dearth of knowledge on assessment of the quality to determine the reliability of results. Methods This study employed the SLR method to identify available SLRs published on UFs. Dybå and Dingsøyr quality standards and dichotomous grading scales were employed to determine the quality of primary studies. On February 3rd, 2022, an auto search was conducted twice over Citeseer, EBSCO, ACM, Springer Link, IEE Computer society digital library, and Scopus using 17 search strings. Two teams independently screened papers and compared notes with the inclusion/exclusion criteria. 11 criterial were adapted to evaluate the quality of the SLR’s. Results 33 SLRs were subjected to data extraction after inclusion/exclusion criteria. Answers to our primary research question was positive as the aims and contexts of the SLRs are generally clear and the methodologies employed are all inclusive. The research outputs of the primary studies are valid and justifiable as their research statements were clear and findings unambiguous. Although some studies failed some quality criteria, answers to all RQs were affirmative as the percentage scores of the studies on each of the quality conditions is favourably high. Conclusions The auto search may be incomplete because some qualified SLRs may have been missed as the choice of search strings was limited and may have omitted terminologies. Notwithstanding, with average quality scores of 83% in reporting, 81.2% in rigour, and 79% in credibility, this study concludes that majority of the meta-analysis published so far on UF are valid and reliable.

Technology has offered humanity a plethora of benefits. Even the number of online transactions and electronic data transmissions has increased dramatically as a result of the internet revolution, and many other benefits which although, come with some side effects that may be exploited by criminals to commit irregularities. The success of these attacks has always been traced to the users’ inadequate Information Security Awareness (ISA). Realizing that Students and teenagers are the major use of the Internet, this study explored a Security Awareness Model to conduct a survey towards determining the level of ISA amongst Nigerian tertiary educational institutions. ISA awareness was found to be low in the participated students and raising ISA amongst Internet users is highly recommended.

Background: A systematic literature review (SLR) is a research methodology that examines data and findings of other authors relative to specified research questions (RQ), collects multiple research studies, and summarises them to answer a research question using rigorous methods. Many SLRs have been published on uterine fibroids (UFs) in the last two decades but there is a dearth of knowledge on assessment of the quality to determine the reliability of results. Methods: This study employed the SLR method to identify available SLRs published on UFs. Dybå and Dingsøyr quality standards and dichotomous grading scales were employed to determine the quality of primary studies. On February 3rd, 2022, an auto search was conducted twice over Citeseer, EBSCO, ACM, Springer Link, IEE Computer society digital library, and Scopus using 17 search strings. Two teams independently screened papers and compared notes with the inclusion/exclusion criteria. 11 criterial were adapted to evaluate the quality of the SLR’s. Results: 33 SLRs were subjected to data extraction after inclusion/exclusion criteria. Answers to our primary research question was positive as the aims and contexts of the SLRs are generally clear and the methodologies employed are all inclusive. The research outputs of the primary studies are valid and justifiable as their research statements were clear and findings unambiguous. Although some studies failed some quality criteria, answers to all RQs were affirmative as the percentage scores of the studies on each of the quality conditions is favourably high. Conclusions: The auto search may be incomplete because some qualified SLRs may have been missed as the choice of search strings was limited and may have omitted terminologies. Notwithstanding, with average quality scores of 83% in reporting, 81.2% in rigour, and 79% in credibility, this study concludes that majority of the meta-analysis published so far on UF are valid and reliable.

Background: Knowledge management (KM) is a recipe for increasing performance and promoting innovation in tertiary institutions. However, some scholars argue that the Nigerian educational sector is yet to fully appreciate the importance of KM as their KM awareness level is still low. Since measurement is the basic foundation to accomplish success, this paper assesses the KM awareness level in tertiary institutions of south-west Nigeria. Methods: The study applied a survey method using a closed ended questionnaire administered to 50 participants from each of the 10 institutions measured by Likert scaling. Employing SPSS for data analysis, frequency count and percentage score were adopted to analyse the demographic data, and the research hypotheses were analysed with chi square test, Pearson chi square and bivariate correlation (Pearson) analysis. Results: A positive relationship between awareness, current status and level of familiarity was noted. KM awareness level in the institutions is high even though there is a significant difference between the public and private universities, as well as between the students and academic staff. Conclusions: Since an increase in the awareness level increases both current status and level of familiarity which often account for KM success, it is recommend that KM awareness level should continuously be improved upon in Nigerian tertiary institutions.

Background: Knowledge management (KM) is a recipe for increasing performance and promoting innovation in tertiary institutions. However, some scholars argue that the Nigerian educational sector is yet to fully appreciate the importance of KM as their KM awareness level is still low. Since measurement is the basic foundation to accomplish success, this paper assesses the KM awareness level in tertiary institutions of south-west Nigeria. Methods: We applied a survey method using a closed ended questionnaire administered to 50 participants from each of the 10 institutions measured by Likert scaling. Employing SPSS for data analysis, frequency count and percentage score were adopted to analyse the demographic data, and the research hypotheses were analysed with chi square test, Pearson chi square and bivariate correlation (Pearson) analysis. Results: A positive relationship between awareness, current status and level of familiarity was noted. KM awareness level in the institutions is high even though there is a significant difference between the public and private universities, as well as between the students and academic staff. Conclusions: Since an increase in the awareness level increases both current status and level of familiarity which often account for KM success, it is recommend that KM awareness level should continuously be improved upon in Nigerian tertiary institutions.