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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;
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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>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>Nature-Inspired search method and custom waste object detection and classification model for smart waste bin</text>
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                <text>Israel Edem Agbehadji, Abdultaofeek Abayomi, Khac-Hoai Nam Bui, Richard C Millham, Emmanuel Freeman</text>
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                <text>Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management. The inability of extant waste bins to facilitate sorting of solid waste at the point of collection and the attendant impact on waste management process is the motivation for this study. The South African University of Technology (SAUoT) is used as a case study because solid waste management is an aspect where SAUoT is exerting an impact by leveraging emerging technologies. In this article, a convolutional neural network (CNN) based model called You-Only-Look-Once (YOLO) is employed as the object detection algorithm to facilitate the classification of waste according to various categories at the point of waste collection. Additionally, a nature-inspired search method is used as learning rate for the CNN model. The custom YOLO model was developed for waste object detection, trained with different weights and backbones, namely darknet53.conv.74, darknet19_448.conv.23, Yolov4.conv.137 and Yolov4-tiny.conv.29, respectively, for Yolov3, Yolov3-tiny, Yolov4 and Yolov4-tiny models. Eight (8) classes of waste and a total of 3171 waste images are used. The performance of YOLO models is considered in terms of accuracy of prediction (Average Precision—AP) and speed of prediction measured in milliseconds. A lower loss value out of a percentage shows a higher performance of prediction and a lower value on speed of prediction. The results of the experiment show that Yolov3 has better accuracy of prediction as compared with Yolov3-tiny …</text>
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                <text>Psychological Contract Fulfilment: A Suitable Umpire Between Transformational Leadership and Employee Engagement in the Ghanaian Public Sector</text>
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                <text>Kenneth Parku, Theresa Obuobisa-Darko, Emelia Amoako Asiedu</text>
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                <text>Daily transformational leadership behavior encourages employee work engagement. Psychological contract fulfilment significantly enhances employees' and affect employees’ attitude, behavior, engagement and performance in general. The study sought to examine the significant role transformational leadership play in psychological contract and employee engagement. Using a quantitative cross-sectional study approach and a snowball sampling technique, a self-designed questionnaire was used to gather data from two hundred and forty-seven employees from the public sector of Ghana. Hypotheses were tested by means of structural equation modelling with maximum likelihood estimation using Stata 15 software. The findings reveal that Transformation leadership had a positive significant relationship toward psychological contract and also towards employee engagement. Transformational leadership had a positive significant relationship towards employee engagement and also, psychological contract positively mediates the relationship between transformational leadership and employee engagement The study contributes to clarifying and extending the social exchange theory and the job demand resource theory by unravelling how the transformational leaders motivate, encourage and reward employees in the reciprocal relationship between himself and their subordinates.</text>
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                <text>Perceptions of Internet Usefulness amongst Non-Traditional Exporters in Ghana</text>
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                <text>Robert Ebo Hinson</text>
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                <text>The study examined perceptions of Internet usefulness amongst Ghanaian Non-traditional Exporters with the view to understanding usage patterns from perspectives such as levels of internationalization and direction of trade. The results showed that, Ghanaian NTEs with the highest internationalisation (80% - 99%) reckoned the most that the Internet was definitely useful in their exporting activities. NTE businesses, which were over 10 years old, were the most certain about the fact that the Internet plays a key role in their exporting business. In terms of South-South relations, it was amazing to note that NTEs who had exporting relations in the West African sub-region believed the most that, Internet use helped them in their export business. Wholly owned local exporting firms believed the most that, the Internet was key to their exporting more. Majority of NTEs (70%) strongly disagreed with the notion that the Internet is only for technical people, and this is encouraging to the extent that knowledge about the technology and the use of its applications can be more easily diffused amongst Ghanaian NTEs.</text>
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                <text>https://www.ajol.info/index.php/ict/article/view/31951</text>
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