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                  <text>Food Science </text>
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                <text>Textural and microstructural changes associated with post-harvest hardening of trifoliate yam (Dioscorea dumetorum) pax tubers</text>
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                <text>Emmanuel Ohene Afoakwa, Samuel Sefa-Dedeh</text>
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                <text>The textural and microstructural changes associated with the post-harvest hardening phenomenon of Dioscorea dumetorum tubers were studied to determine how texture relates to microstructure during the hardening process. A 2×2×4 factorial experiment with sample treatment, storage conditions and storage time as variables was performed. The tubers were harvested, matured and stored under prevailing tropical ambient conditions (28 °C) and cold room conditions (4 °C) for the study. All the samples were evaluated for their hardness (peak force) and adhesiveness (curve areas). Starch microscopy was done on the freshly harvested tubers, hardened tubers and tubers stored under low temperature conditions (4 °C) during the study. TA.XT2 analyses on the textural properties revealed consistent increases in the hardness and adhesiveness levels, measured during the hardening process of the tubers. Hardness …</text>
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 Focus on functional categories&#13;
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                <text>Philippe Prévost &#13;
Johanne Paradis </text>
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                <text>This study sought to explore the connection between cash flows and the financial performance of non-financial firms listed on the Ghana Stock Exchange (GSE). Specifically, the study sought to examine the association between cash flows and the firms’ financial performance as measured by ROA; explore the connection between cash flows and the firms’ financial performance as measured by ROE; and to find out the affiliation between cash flows and the firms’ financial performance as measured by ROCE. This study was a quantitative study because, it mainly examined numerically measured variables with the application of statistical techniques. The study was precisely correlational in nature because, it sought to explore the relationship between cash flows and the firms’ financial performance. The study was finally panel in nature because, it gathered information on the same study units at different points in time. A balanced secondary panel data sourced from the audited and published annual reports of the Ghana Oil Company Ltd, Total Petroleum Ghana Ltd, Starwin Products Ltd, Camelot Ghana Ltd, Aluworks Ltd, Clydestone Ghana Ltd, African Champion Industries Ltd, Benson Oil Palm Plantation Ltd, Fan Milk Ltd, Guinness Ghana Breweries Ltd, Unilever Ghana Ltd, PZ Cussons Ghana Ltd, Produce Buying Company Ltd, Mechanical Lloyd Company Ltd and Sam Woode Ltd for the period 2008 to 2017 was used for the study. Both the descriptive and inferential techniques of data analysis were employed for the study. In the descriptive technique of data analysis, the mean, standard deviation, variance, minimum and maximum values, range …</text>
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                <text>This chapter discusses some of the internationalisation (e.g. mergers and acquisitions, networks and strategic alliances) of household names into Africa – especially in the aftermath two simultaneous events – that is, the African Continental Free Trade Area and British exit from the European Union (Brexit) with or without a trade deal. This chapter also touches upon the need for inter-functional integration in driving forward Africa’s creative industries – notably the intersections between entrepreneurship and innovation within which business models in digital publishing and software development, as well as localisation of animation and games in Africa have been seen.</text>
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                <text>Publisher: Emerald Publishing Limited</text>
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                <text>THE APPLICATION OF DATA MINING TECHNOLOGY IN THE SELECTION OF PROSPECTIVE UNDERGRADUATE STUDENTS</text>
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                <text>Due to the many private universities being established in the Republic of Ghana, the search of prospective students had become very competitive. There is therefore the urgent need to develop effective student searching strategy for the survival of a private university and also to gain a competitive advantage over others. The aim of this paper is to use a computer application to develop a data mining framework based on the Microsoft decision tree algorithm, to generate useful rules for selecting qualified but rejected applications of prospective undergraduate students from a public university. The results can provide decision rules relating personal information of a prospective student with guardian information, occupation and average salary per year. An empirical study was conducted in a private university in Ghana to support their search for students. The results demonstrated the practical viability of this approach and …</text>
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