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                <text>The Effect of School Feeding Programme on Basic Education in Greater Accra Region, Ghana.&#13;
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                <text>Education is the backbone of every nation. Many developed countries have attained their levels of development because of the attention paid to educating their citizens. For a developing country like Ghana to break more grounds on its development efforts, there is the need to pay close attention to the education of its people, especially the youth. The School Feeding Programme (SFP) is one of the strategies that can aid basic school enrolment and sustain education in the higher levels required for development.&#13;
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                <text>Jun Yan, Kaodui Li, Mohammed Musah, Lijuan Zhang, Yutong Zhou, Dan Gao, Joseph Akwasi Nkyi, Frank Gyimah Sackey, Emmanuel Attah Kumah, Siqi Cao, Linnan Yao</text>
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                <text>One of the crucial issues confronting China is high carbon dioxide (CO2) emissions. Despite the numerous measures outlined to promote the country’s carbon neutrality target, CO2 emissions in the nation continue to increase. This means that more policy options are needed to help improve environmental sustainability (ES) in the nation. Hence, examining the relationship between financial development (FD), foreign direct investment, industrialization, and environmental sustainability in China to provide proper recommendations to drive the carbon neutrality agenda of the nation is deemed fitting. In attaining this goal, time-series data from the period 1990 to 2018 is employed. According to the results, foreign direct investment deteriorates environmental sustainability by promoting more CO2 emissions. This validates the pollution haven hypothesis (PHH). In addition, industrialization and financial development are not friendly to the nation’s environmental quality. Furthermore, economic growth and urbanization escalate environmental pollution in the nation. In addition, the interactions between financial development and foreign direct investment and between financial development and industrialization deteriorate the environment in China. Moreover, foreign direct investment and financial development have an inverted U-shaped association with environmental degradation, but industrialization and environmental pollution are not nonlinearly related. The study advocated for the implementation of m</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=-U-tBVYAAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=-U-tBVYAAAAJ:j3f4tGmQtD8C</text>
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                <text>An Assessment of Lean Implementation in the After Sales Service Of The Air Condition Industry: A Case Study on Cold Temperatures Limited.&#13;
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                <text>Justice Tagoe</text>
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                <text>The need for air condition companies to implement lean in the delivery of services is one that cannot be overlooked. Growth in any industry is linked to satisfaction given to customers of that&#13;
industry. The key to maintaining a competitive advantage in service delivery can be attributed to the implementation of lean techniques and principles. This study assesses lean implementation in the after sales service of the air condition&#13;
industry using Cold Temperatures Limited as a case study. This assessment is done by applying lean techniques and principles in the minimization of waste. A brief background of lean principles and techniques by various authors is presented which includes both empirical and theoretical review of the literature.&#13;
Both qualitative and quantitative research methods were used. Observations were done and questionnaires administered randomly to active customers of Cold Temperatures Limited&#13;
after calculating the sample size using Yamane’s (1967) formula. Furthermore, data collection was done by walking the shop floor and recording the processing and lead times for service delivery.&#13;
SPSS and Excel were used to generate tables and charts which helped in analysing data obtained and also identify the wastes within the company. The Pareto chart and cause and effect&#13;
diagram were also used to analyse the causes of the wastes in Cold Temperatures Limited. The takt time was calculated after drawing the current state of Cold Temperatures Limited with the&#13;
value stream map. This helped in the determination of the pace of service delivery. A future state map was then drawn indicating the improvement needed areas after which lean technique was&#13;
applied in the minimization of the wastes identified.&#13;
In conclusion, the researcher observed the service delivery of Cold Temperatures Limited&#13;
to be poor due to several factors and therefore recommended the maintenance and delivery&#13;
preparation departments to be joined together in order to eliminate the waste of motion between&#13;
these departments.</text>
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                <text>MSc Engineering Project Management</text>
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                <text>Ghana Technology University College</text>
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                <text> Mr. Andrew Nunekpeku</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>Justice Williams Asare, William Leslie Brown-Acquaye, Martin Mabeifam Ujakpa, Emmanuel Freeman, Peter Appiahene</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>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>The study was conducted to determine the number of rejected eggs, causes and economic implica-tions among three egg-type strains in a commercial poultry farm. A total of eight thousand layers were used for the on-farm study. Total eggs for each strain were determined by recording and counting each day’s production. The defective eggs were sorted out and the totals were recorded. Percentage for the defective eggs were then calculated. Data were taken four times a day at partic-ular time intervals. Strains 1 and 2 were 47 weeks and strain 3 was 82 weeks old at the start of the study. Data collected were analysed using one-way analysis of variance (ANOVA) with the aid of Genstat, Fifteenth Edition (2012) and the treatment means were separated using the Tukey’s Stu-dentized Range Test. Strain 2 produced the highest number of eggs (p&lt; 0.05) but recorded the low-est percentage of defective eggs (p&lt; 0.05). Strain 3 produced the lowest number of eggs (p&lt; 0.05) and yet recorded the highest percentage of defective eggs (p&lt; 0.05). The number of eggs collected and the percentage of defective eggs were significantly different (p&lt; 0.0) among the strains. The total economic loss as a result of defective was GH¢ 17, 106.43 with strain 3 recording the highest economic loss (GH¢ 8, 304. 77) followed by strain 1 (GH¢ 6, 022.76) which also recorded a higher economic than strain 2 (GH¢ 2, 778.90). It can be concluded that all other factors being equal, strain and age influence the percentage of defective eggs with the type of strain used either in-creasing or decreasing the number of defective eggs; and with older birds producing more defec-tive eggs …</text>
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