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                <text>The study investigated the relationship connecting capital structure and profitability of two listed firms on the Ghana Stock Exchange (GSE) from the year 2010 to 2014. 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 mixed method was used to capture both qualitative and quantitative data. The study employed both primary and secondary data and the data was analyzed using multiple regressions. The outcome from the review demonstrates that increments in short term debts and long term obligation influences the execution of the oil marketing companies. The suggestion is that managers ought to ensure that they recognize and keep up the ideal capital structure level to augment the organization's profit base.</text>
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                <text>Higher education institutions the world over are presently embarking on a drive towards introducing educational technologies into the teaching and learning processes so as to increase flexibility in course delivery, improve access to learning resources, enhance student engagement and participation in all learning activities, and consequently improve learning outcomes. With online learning resources such as instructional videos becoming more easily accessible and more appealing to the present generation of students, one technology-oriented instructional strategy that is gaining popularity in higher education is flipped teaching. This is an approach that reverses the traditional face-to-face teaching model: learners acquire basic content outside of class (typically video lectures), and then engage in more active and collaborative learning processes in class. Class activities therefore provide learners and instructors …</text>
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                <text>This paper assesses the teaching and learning experiences of faculty understanding of blending learning in a Higher Education Institutions (HEIs) in Ghana. The driving force for this paper is the transformational agenda of most HEIs to integrate technology with teaching and learning. The study posits that the adoption of blended learning for teaching and learning by faculty members in HEIs interplay with external and internal factors within and without the universities. Nonetheless, blended learning approaches in teaching boils down to motivation as the core concern around which these afore mentioned factors revolve. The experiences of fifteen faculty members using blended learning at the Ghana Technology University College was analysed using Thematic Analysis and Grounded Theory to develop a BL model. The paper describes the faculty blended learning adoption model and explains the model constructs …</text>
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                <text>Exploring factors influencing student choice in Africa:&#13;
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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;
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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;
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the choice of prospective students in Africa to study at a particular university. The authors have&#13;
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                <text>Samuel Ofori Frimpong, Israel Edem Agbehadji, Abdultaofeek Abayomi, Richard C Millham, Emmanuel Freeman, Martin Mabeifam Ujakpa&#13;
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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>Nusrat-Jahan Abubakar, Emmanuel Freeman, Kennedy Fosu Oppong</text>
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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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assuage the tension involved in making a purchase decision (Keller, 2001).&#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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