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                <text>Investigations were conducted to dete rmine changes in souring/acidification and starch behaviour during co-fermentation of cassava and soybean into gari, ‘farina’ an African fermented product. A 3 x 4 factorial experiment was performed with fermentation time (0, 24 and 48 h) and soybean conce ntration (0, 10, 20 and 30%) as variables. Titratable acidity, pH and starch content were studied using standard analytical methods. Starch breakdown and pasting characteristics were also evaluated . The results revealed that pH decreased with concomitant increases in titratable acidity during co -fermentation of the cassava dough. Soy - fortification up to 30% caused significant (p&lt;0.05) effects on the pH, titratable acidity and starch content during the fermentation period with only minimal and insignificant (p&lt;0.05) effect noted at 20% soy level. Fermentation caused significant differences (p&lt;0.05) in the pH, titratable acidity and starch concentration. Starch content decreased from 69.8% to 60.4% within the 48 h fermentation time in the unfortified sample with similar trends noted at all levels of fortification. Starch pasting characteristics showed that the pasting temperature significantly increased with increasing fermentation time and soybean concentration. Contrary to this, viscosity at 95°C and at 50°C HOLD decreased with increasing fermentation time and soybean concentration. Peak viscosity decreased from 1150 BU to 820 BU and 750 BU after 48 hours of fermentation, with 0% and 30% soybean levels respectively. Cassava could be cofermented with soybean up to 20% concentration during gari processing, without significant effect on its process and …</text>
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Global fight against tuberculosis (TB) has received increasing attention over the years. However, the disease remains one of the top-most global health problems, especially in Sub-Saharan Africa and Ghana.&#13;
Aims&#13;
This paper examined geographical (regional) and seasonal distribution of TB cases providing relative risk of TB exposure in Ghana and step by step procedure to perform the analysis.&#13;
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We modelled reported TB cases between 2015 and 2018 using wavelet analysis and applied maximum covariance analysis (MCA) to determine regional and seasonal patterns and the risk of TB exposure in Ghana. This study is based on the old administrative regions of Ghana.</text>
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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>British Medical Journal Publishing Group</text>
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            <name>Date</name>
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                <text>2021</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=ECTxVnYAAAAJ&amp;amp;citation_for_view=ECTxVnYAAAAJ:UebtZRa9Y70C</text>
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              <description>A name given to the resource</description>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Spatial bayesian methods of flow forecasting in the Black Volta river</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="12042">
                <text>Iddrisu Wahab Abdul, Kaku Sagary Nokoe, Frank Badu Osei, Eric Ofosu Antwi</text>
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            <description>An account of the resource</description>
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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>2016</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="12046">
                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=ECTxVnYAAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=ECTxVnYAAAAJ:MXK_kJrjxJIC</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="12047">
                <text>English</text>
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              <description>A name given to the resource</description>
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                  <text>Food Science </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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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="11659">
                <text>Seth Graham-Acquaah, George Sodah Ayernor, Betty Bediako-Amoa, Firibu Kwesi Saalia, Emmanuel Ohene Afoakwa</text>
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            <description>An account of the resource</description>
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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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            <description>An entity responsible for making the resource available</description>
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                <text>Springer India</text>
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                <text>2014</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="11663">
                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=EZuX1N8AAAAJ&amp;amp;pagesize=80&amp;amp;citation_for_view=EZuX1N8AAAAJ:r0BpntZqJG4C</text>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="10215">
                  <text>Faculty of Computing and Information Systems</text>
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      <name>Text</name>
      <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
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          <element elementId="50">
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                <text>Spatio-Temporal Modelling of COVID-19 Dynamics in Africa</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="12062">
                <text>Iddrisu Wahab Abdul</text>
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            <description>An account of the resource</description>
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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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            <description>A related resource from which the described resource is derived</description>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=ECTxVnYAAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=ECTxVnYAAAAJ:UeHWp8X0CEIC</text>
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            <description>A language of the resource</description>
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                <text>English</text>
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