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Introduction: In fuel cell technology, the most important component in fuel cells is the metal based catalyst, on which the cell reaction takes place.
Introduction: The purpose of this work is to introduce a new iteration called the modi?ed Picard-S-AK hybrid iterative scheme for approximating ?xed point for Banach contractive maps. We showed that our scheme converges to a unique ?xed point p at a rate faster than the recent AK iterative scheme for Banach contractive maps; using Java programming language, we gave some numerical examples to justify our claim. Stability and data dependence of the proposed scheme was also explored.
Introduction: A Presentation at the 2nd International Women in Science Without Borders - Indaba 2018
University of Johannesburg, South Africa
Introduction: A Presentation at the 8th IBCEW, Covenant University, Ota, Ogun State, Nigeria
Introduction: Bernoulli distribution, if not the, is one of the simplest probability distribution in literature.
Introduction: The 2nd International Women in Science Without Borders (WISWB) Indaba brings the WISWB series from the north of the African continent where the inaugural chapter was held in Egypt in 2017, to the very south of the African continent, Johannesburg, in 2018. The WISWB conference series is strategic and topical in that it aims to highlight and emphasise the contribution of women researchers within the science, technology, engineering and mathematics (STEM) ecosystem to effect positive outcomes. Is this important to continuously explore why and how women STEM researchers are an indispensable asset, and to understand the values and richness they bring to a research environment. WISWBIndaba is a gender-inclusive conference as researchers more often than not work in a multi-gender workplace. The overarching theme of our conference in 2018 is: “Resilience in Diversity”.
Introduction: Supply chains consist of the flow and transformation of raw materials into finished products and the eventual distribution of the end products among the manufacturers, distributors, retailers and consumers. Supply chains are vulnerable to disruptions which can hamper the smooth flow of products to the end users. Hence, the importance of mitigation strategies for managing disruptions cannot be overemphasized. It has also been premised from this study that mitigation strategies that are characterised by both soft and hard attributes will yield better result on operational performance. This study is also based on the assumption that the use of both hard and soft mitigation strategies will yield synergistic effects on operational performance. This is a theoretical study that used the context of interaction approach of contingency theory to develop propositions that could be tested in further studies in the area of supply chain risk management.
Introduction: This study aims at assessing the supply chain disruptions and mitigating strategies in manufacturing firms. There is need to concentrate research efforts on developing frameworks that match supply chain disruptions with mitigating strategies (Oke and Gopalakrishnan, 2009). This study develops a conceptual framework that fits supply chain disruptions with mitigating strategies. This research work establishes that supply-driven and demand-driven supply chain disruptions are important classifications of supply chain disruptions. This is based on the assumption that there is either a supply or demand consequence of any form of supply chain disruption. Demand-managed and supply-managed mitigation strategies are proposed to mitigate demand-driven and supply-driven supply chain disruptions respectively. This is based on the premise that the strategies for managing disruptions should fit the disruption types.
Introduction: This paper seeks to understand how price elasticity of demand can be used to determine the type of manufacturing strategy for products. Based on the theory of Swift, Even flow and Contingency theory of fit, this work builds on the well established framework of the product-process matrix. The goal of this study is to use the product–process matrix concept to further analyze the effect of product attribute in the context of “Price elasticity of Demand” on manufacturing strategy’s choice.
Introduction: The importance of effectively managing supply chain disruption is an important direction in the area of supply chain management. Companies need to be prepared on how to combat the supply chain disruption menace because of its need for proactive response whenever it occurs. This work using the non-logistic theories of contingency theory of fit proposed the need to fit the mitigating strategies against disruptions to the type of disruption and the environment. Likewise, following the main idea of the Theory of Constraint (TOC), the mitigating strategies against supply chain disruptions should concentrate efforts on the critical components in the supply chain. This is because the critical components determine the performance of the entire supply chain. The purpose of the study is to analyse the credible means of mitigating against supply chain disruptions.
Introduction: A Modified Boruch-Forced Randomized Response Model. A paper presented at the 38th Annual Conference of Nigerian Mathematical Society (NMS, 2019)
Introduction: This laboratory manual is specifically designed for the use of the Second year
Introduction: The prediction of carbon dioxide (CO2) emissions from petroleum consumption inspired and motivated this research. Over the years, the rate of emissions of CO2 continues to multiply, resulting in global warming. This paper thus proposes the use of clonal selection theory inspired algorithms; CLONALG and AIRS to forecast global CO2 emissions. The K-means algorithm divides the data into groups of similar and meaningful patterns. Comparative simulations with multi-layer Perceptron, IBk, fuzzy-rough nearest neighbor, and vaguely quantified nearest neighbor reveal that the CLONALG and AIRS produced outstanding results, and are able to generate highest detection rates and lowest false alarm rates. As such, gathering useful information with the accurate prediction of CO2 emissions can help to reduce the emission of CO2 contributions to global warming which assist in policies on climate change.
Introduction: Background: The study area is Olambe, a fast-growing community in Ogun State, Nigeria. It shares the same boundary with Lagos State, Nigeria. It is highly populated due to high cost of rent and high cost of living in Lagos State which made lots of the inhabitants to migrate to neighbouring towns with easy access to Lagos State especially for workers or employees of Lagos State. The effect of home-based management of malaria (HMM) was carried out in Olambe in 2013. HMM is a major means of treatment in this part of Ogun State because the general hospitals or government hospitals available are only in Lagos State and it is quite a distance. A large percentage of the populace receives treatments from private-owned hospitals or solely depends on HMM. Methods: The sampling population was 250 respondents which are mothers of children under the age of five years. Structured questionnaires and oral interview were used in collecting data from the 250 consenting individuals. Results: A large percentage of the respondents were traders and not-well educated individuals (65.0%) who believed so much in home-based management of malaria due to financial difficulties, ignorance and distance to hospitals. About 5.5% are not educated and they attributed the ineffectiveness of some malaria drugs to fake drugs. They therefore use different herbal treatments. About 30.5% use both malaria drugs and herbal treatments for the treatment of malaria. The major factor for ineffective HMM in Olambe is wrong dosage of anti-malarial drugs, herbal treatment and wrong diagnosis. Artemisinin- based combination therapies (ACTS) was the preferred anti-malarial drug in this area. There is poor correlation between the reoccurrence of malaria and the type of drug used for the children (p<0.05). Reoccurrence of malaria symptoms is not necessarily as a result of the type of drugs used to treat it. Other factors could be responsible for the reoccurrence of malaria. There is a strong correlation between the reoccurrence of malaria and the use of herbal drugs (p>0.05) Conclusion: This study deduced that few respondents practice HMM correctly while many of them end up in hospitals due to lack of ideal dosage of anti-malarial drugs. A large percentage of respondents take traditional treatments. There is paucity of information on the use of HMM in Olambe, Ogun State, Nigeria and therefore a need to improve HMM, organize programmes to sensitize the area and the local communities around Olambe on the way forward in HMM.
Introduction: The depletion of world's petroleum reservoir coupled with global economy and environmental issues surrounding the complete dependence on petroleum have led researchers to develop alternate resource materials for industrial uses. This paper describes the antimicrobial and corrosion inhibitive properties of polyesteramide resin from Moringa oleifera seed oil (MOSO). N,N'-bis (2- hydroxyethyl) Moringa oleifera oil fatty amide (HEMA) was synthesized via aminolysis. The amide obtained from aminolysis (HEMA) undergoes condensation reaction with adipic acid to form polyesteramide (MOPEA). The synthesized polyesteramide resin was characterized by FTIR, 1H NMR and 13C NMR spectroscopic analyses. Selected physico-chemical parameters ofMOSO, HEMA and MOPEA were measured. Coating performance, thennal stability and antimicrobial properties of the cured resin were evaluated.
Introduction: African Locust Bean (Parkia biglobosa) seeds were fermented with the aid of a starter culture - Bacillus subtilis to a vegetable protein based food condiment known as ‘Iru’ at various temperatures between 40 °? and 70 °?. Fermentation was carried out for five days (120 hours). The maximum % protein content yield of 52.7 % was obtained after 3 days (72 hours) at an optimum fermentation temperature of 40 ?C. Other parameters like % crude fibre, % ash content, % carbohydrate and % fat content decreased with fermentation temperature and duration. The physiological test carried out showed that fermented sample at the optimized condition were generally acceptable for all parameters tested. The Scanning Electron Microscope (SEM) result shows the effect of temperature on the morphological structure of both fermented and unfermented samples
Introduction: This study was carried out to produce pectinase from Aspergillus niger under submerged fermentation for the extraction of Ben oil from Moringa oleifera seeds. This research established the production of pectinase from Aspergillus niger using pectin from orange peels as substrate and its effectiveness for extraction of Ben oil from Moringa oleifera seeds.