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                <text>Spatial analysis of the prevalence of obesity and overweight among women in Ghana</text>
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                <text>Killian Asampana Asosega, Atinuke Olusola Adebanji, Iddrisu Wahab Abdul</text>
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                <text>Objective&#13;
Identifying hot spots for the overweight aids in effective public health interventions due to the associated public health burden and morbidities. This study, therefore aimed to explore and determine the spatial disparities in the overweight/obesity prevalence among women in Ghana. The study also aims at modelling the average body mass index (BMI) values using the spatial regression and the performance compared with the standard regression model.</text>
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                <text>Spatial bayesian methods of flow forecasting in the Black Volta river</text>
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                <text>Iddrisu Wahab Abdul, Kaku Sagary Nokoe, Frank Badu Osei, Eric Ofosu Antwi</text>
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                <text>The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were estimated and compared in terms of forecast performance. Monthly data on river flows from January 2000 to December 2009 for the four gauge stations along the Black Volta River namely, Lawra, Chache, Bui and Bamboi was obtained from the hydrological services department of Ghana and used for model fitting. The estimation and forecasting procedure was conducted using the Econometrics Toolbox in MATLAB. Mean Absolute Percentage Errors (MAPEs) were calculated for all models considered. The results indicated very good forecasts for all the models considered. However, a comparison among them clearly indicated a much better performance by the SBVAR model based on the RWA prior which considered flows from only the immediate upstream gauge station as important while flows from all other gauge stations were considered unimportant.</text>
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                <text>European journal of scientific research</text>
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                <text>Spatial distribution of total phenolic content, enzymatic activities and browning in white yam (Dioscorea rotundata) tubers</text>
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                <text>Seth Graham-Acquaah, George Sodah Ayernor, Betty Bediako-Amoa, Firibu Kwesi Saalia, Emmanuel Ohene Afoakwa</text>
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                <text>Browning in raw and processed yams resulting from enzymes, polyphenol oxidase (PPO) and peroxidase (POD), activities is a major limitation to the industrial utilization of Dioscorea varieties of yams. Two elite cultivars of D. rotundata species were selected to study the spatial distribution of total phenols and enzymes (PPO and POD) activities. The intensities of tissue darkening in fresh yam chips prepared from the tuber sections of cultivars during frozen storage were also studied. Total phenolic content was observed to be highest in the head and mid sections of the cultivars than at the tail end. PPO activity did not have any specific distribution pattern whereas POD activity was found to be more concentrated in the head than in the middle and tail regions. Browning was found to be most intense in the head regions of the two cultivars studied; and was observed to correlate with total phenol and dry matter …</text>
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                <text>Spatio-Temporal Modelling of COVID-19 Dynamics in Africa</text>
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                <text>Iddrisu Wahab Abdul</text>
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                <text>Since the outbreak of COVID-19 in China, in December 2019, almost no country in the world has been spared the devastation caused by the pandemic. In this paper, I model and analyze the trend of COVID-19 in Africa along space and time, in order to provide accurate and reliable predictions of the dynamics of the disease in Africa. Data on daily confirmed cases of COVID-19 for fiftytwo countries in Africa from February 14, 2020 to December 04, 2020 were obtained from “Our World in Data”(OWID). A model that captures space-time dependence was fitted to the data and used for analysis. The results indicate that the second wave of the pandemic in Africa is yet to reach its peak. The results also indicate that countries in Africa have been affected by the disease to a very heterogeneous extent during this period. It was also observed that the average reproduction of the disease within countries in Africa, which is known as the autoregressive effect was about 0.46 while the neighbourhood effect, which is the transmission of the disease from adjacent countries, was quite negligible. The seasonality-adjusted factor which indicates how the basic endemic incidence increases per day was observed to be about 1.23 while the epidemic proportion of the disease incidence in Africa was found to be 46%. These findings, indicating where and when the incidence of the disease will be high may be useful for public health decisionmaking, as they provide time to intervene on the local public health systems.</text>
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                <text>Special Functions in Fractional Calculus and Engineering</text>
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                <text>Harendra Singh, H. M. Srivastava, R. K. Pandey</text>
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                <text>This book was inspired by the many conversations we had with Dr. Nuray&#13;
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and her work commitments did not allow her to continue working with us&#13;
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                <text>The stakeholder engagement and innovation literature has received considerable academic attention. However, the subject of stakeholder legitimacy perceptions which impact the willingness and ability of stakeholders to engage with entrepreneurial ventures have not been fully explored in the entrepreneurship literature. This research fills the knowledge gap by reviewing literature on venture legitimacy, firm innovation, and stakeholders. Accordingly, the study discusses the perception of five stakeholder groups on firm legitimacy and suggests how they impact innovation in developing economies. At the end of the chapter, we highlight the critical issues of legitimacy perceptions, innovation, and stakeholders and point out potential avenues for further research.</text>
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