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                <text>Effects of capital structure choice on profitability of oil marketing companies in Ghana (OMCs): case studies of Ghana Oil Company limited and total petroleum Ghana limited</text>
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                <text>Capital structure is actually a mix of different securities. The importance of capital structure cannot be over emphasized since it impacts on firm’s value. Capital structure choices have had significant impacts on shareholders wealth. The study investigated the impact of capital structure on the profitability of Oil Marketing Companies (OMC’s). With regards to the firm’s capital structure, the study employed short-term debt to total capital, long-term debt to total capital and total debt to total capital in comparison with return on assets (ROA), return on equity (ROE) and net profit margin (NPM). The study employed secondary data and the data was analysed using multiple regressions. The result reveals that short term debt to total capital, long term debt to total capital, total debt to total capital, firm size, and sales growth, have varying and mixed relationships with profitability in terms of return on asset, and return on equity of the Oil Marketing Companies (OMC’s). The study recommend that companies implement due diligence in considering debt financing decisions, to come out with the best possible financing blend which will maximize profitability for their companies.</text>
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                <text>Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images</text>
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                <text>Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing …</text>
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                <text>Emerging challenges, opportunities, and agenda for research, practice, and&#13;
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                <text>The higher education landscape is changing. The global competition for students’ enrolments has increased&#13;
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government funding for public universities is reducing, there is pressure on universities to seek additional&#13;
income by increasing their student enrolment. Attracting and enrolling students has become increasingly more&#13;
challenging, as student behaviour is changing. These challenges present the need for higher education&#13;
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                <text>Iron deficiency is commonly referred to as anaemia which is a general public health problem that normally occurs as a result of a reduction in red blood cells which is common in developing countries such as Africa. In this study, machine learning algorithms such as CNN, k-NN, Naïve Bayes, Decision Tree and SVM were utilized for the study to detect anaemia in children using conjunctiva images. The images were segmented into their various CIELAB colour space components and the ROI from each image was retrieved. The dataset was split randomly into 70:10:20, which were then used to train, validate, and test the models, as appropriate. The CNN achieved the highest accuracy (98.45 %). The findings of this study demonstrate that non-invasive techniques are essential for detecting anaemia in children. This study deploys a cost-effective mechanism, and result-orientated, to detect anaemia in developing …</text>
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                <text>Saving the planet: An Assessment of green computing practice among tertiary institutions in Ghana</text>
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                <text>This study assesses the current state of adoption and practice of Green Computing among Ghana Tertiary Institutions. The driving force for this investigation includes issues of conducive academic environment and humanity, energy conservation, disposal, and recycling of electronic devices in tertiary institutions. To achieve this, both quantitative and qualitative methods are used to capture data for the findings and analysis. Data were collected from a sample of 200 computer users of faculty members, administrative staffs and students among five selected Universities and Polytechnics Analysis of the study has shed light on the levels of green computing knowledge and practice possessed by computer users. The scenario that emerged from the findings is less than desirable. Given the importance of green computing awareness, knowledge, practice and adoption, it is recommended that academic institutions and government agencies to take the first step in educating the public, regarding the" underlying principles and practice" of green computing. The general impression from the study is that, computer users in the selected schools generally have either low levels of green computing habits and practices or none at all. Also, the institutions have made very little effort to accept the practice in their schools. This is as a result of the facts that, the awareness of Green IT in most institutions and the practices among individuals are not in place; hence a lot of people are ignorant about this new development of technology.</text>
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                <text>The paradigm of the fourth industrial revolution has presented a unique opportunity to interconnect the cyber-physical space. The objective of this interconnection is to encourage the fusion of technologies from physical, digital, and biological spheres to encourage digitization of resources ranging from building, cars, hospital, schools, energy, and many more. It is expected that such resources can make independent decisions on their state to avoid human intervention in monitoring the state of these resources which have their direct and indirect cost implication. Having an intelligent resource monitoring regime forms the underlying structure of cyber-physical space. In this article, the authors focus on the future of integrated nature-inspired algorithms in helping create an optimized resource monitoring regime towards the smart city applications.</text>
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                <text>Brands are important for both consumers and frms. While strong brands&#13;
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assuage the tension involved in making a purchase decision (Keller, 2001).&#13;
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                <text>The aim of this study is to model an appropriate Total Quality Management (TQM) framework for Higher Education Institutions (HEIs) in developed and developing countries particularly Ghana. The driving force for this study is the low-quality standards that most public universities in Ghana have compromised over the past years. However, they are known as the best standards for most private institutions. This situation called for the need for the researchers to embark on this study. Empirical studies of TQM and TQM frameworks in HEIs was conducted. The study employed both qualitative and quantitative analysis. The case study design was also used to describe and access the phenomenon. Purposive sampling technique was used to select fifteen (15) Quality Assurance Officials from three public HEIs in Ghana. A sample size of 400 respondents were used for the analysis of the quantitative data. The qualitative …</text>
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                <text>Resolving the power crises requires the combination of different individual renewable energy sources so that one source can compensate for another. Unfortunately, renewable energy sources are not always available at certain times making their use problematic. To solve this uncertainty, it is important to combine independent renewable energy sources and determine the right set of the renewable energy mix that is economical and reliable. The sources of renewable energy data are solar PV, wind, battery, and biomass. Different scenarios of renewable energy mix or combination considered are wind–biomass–battery, solar PV–wind–biomass, PV–biomass–battery, and solar PV–wind–biomass–battery. Knowing the economic and reliable impact of these combinations helps to make the best investment decision. The nature-inspired optimization is utilized as the methodology to determine the feasible dimension …</text>
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                <text>Universities in Africa are witnessing unprecedented growth; The government is establishing more&#13;
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university places. As well as the increasing numbers of universities in Africa, there are also&#13;
international partnerships with universities in Europe and America, while some other universities&#13;
are opening campuses in Africa. Due to this increase, prospective university students have an&#13;
increasingly wide range of choices. Understanding this student choice is essential for the marketing&#13;
strategies of the universities. This process has been extensively researched in literature. This&#13;
plethora of knowledge, however, has focused on developed countries, leaving a gap in our&#13;
knowledge about student choices in Africa. This chapter introduces the coverage and contents of&#13;
the edited book which explores student choices in Africa. This book on Higher Education&#13;
Marketing in Africa - Explorations on Student Choice focuses on different factors that influence&#13;
the choice of prospective students in Africa to study at a particular university. The authors have&#13;
covered different geographies on the continent and employed different methodological approaches&#13;
to reach their study conclusions. The authors’ affiliations are also international in scope. The&#13;
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