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                  <text>Food Science </text>
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                <text>Variability in Biochemical Composition and Cell Wall Constituents among Seven Varieties in Ghanaian Yam (Dioscorea sp) Germpalsme</text>
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                <text>EO Afoakwa, D Polycarp, AS Budu, H Mensah-Brown, E Otoo</text>
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                <text>This work characterized the most cultivated and consumed yam (Dioscorea) cultivars within the Ghanaian yam germplasm based on their biochemical and cell wall constituents to assess their potential alternative food and industrial processing applications. Samples were analyzed for their biochemical composition-starch, amylose, amylopectin, total sugars, reducing sugars and non-reducing sugars along the head, middle and tail regions of each tuber using standard analytical methods. Cell wall constituents-acid detergent fibre, neutral detergent fibre, acid detergent lignin, cellulose and hemicellulose of each tuber were also determined using standard analytical methods. The results showed no significant differences at p&lt; 0.05 in biochemical compositions along the length of the studied cultivars. D. cayenensis (Pure-yellow), D. rotundata (Pona) and D. alata (Matches) were found to have high starch contents (63.16-65.69%, 63.54-65.30% and 63.24-65.17% respectively). Amylose content was observed to vary along the length of the tubers for the varieties studied. D. alata (Matches) was observed to contain the highest amylose content of 19.66-20.64%. No identifiable trend was however, observed for the amylopectin content along the length between the varieties investigated. D. bulbifera recorded the lowest amylopectin content of 41.29%, 43.59% and 44.63% while D. esculenta had the highest with 49.84%, 50.24% and 50.13% along the tail, middle and head sections respectively. Total sugar content varied significantly (p&lt; 0.05) along the lengths of all the varieties investigated. It was higher at the tail portions for all the varieties studied than the …</text>
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                <text>2013</text>
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                  <text>Food Science </text>
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                <text>Chocolate and cocoa, flavor and quality</text>
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                <text>Emmanuel Ohene Afoakwa</text>
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                <text>Cocoa is the fundamental ingredient in chocolate manufacture and is derived from the fruit of the cocoa tree. Variations in cocoa bean genotype exhibit distinct differences in flavor characteristics during subsequent processing of the beans into cocoa liquor. These chocolate characteristics not only originate in flavor precursors present in cocoa beans, but also they are generated during post‐harvest treatments and transformed into desirable odor notes in the manufacturing processes. Complex biochemical modifications of bean constituents are further altered by thermal reactions in roasting and conching and in alkalization. However, the extent to which the inherent bean constituents from the cocoa genotype, environmental factors, post‐harvest treatment, and processing technologies influence chocolate flavor formation and relationships with final chocolate flavor quality requires more in‐depth understanding. With …</text>
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                <text>John Wiley &amp; Sons, Inc.</text>
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            <name>Date</name>
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                <text>2000</text>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Research Article Structural Model of Students’ Interest and Self-Motivation to Learning Mathematics</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Dominic Otoo, Wahab A Iddrisu, Justice A Kessie, Ernest Larbi</text>
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                <text>Students pick up the perception that mathematics is abstract and therefore, the learning of mathematics would yield to them no benefit. With their attitude towards mathematics modelled and their interest for mathematics impacted by this automatic generated perception, they may never again appreciate the beauty of mathematics. In this paper, the researchers used structural equation modeling (SEM), to investigate the variables that affect students’ interest, among the variables, students’ confidence and motivation. e foregoing variables were conceptualized to have a direct effect on students’ interest in mathematics, whilst mathematics anxiety and students’ knowledge of the usefulness of mathematics were conceptualized to have indirect effects on their interest in mathematics moderated by students’ confidence and motivation. e result showed that significantly students’ confidence directly affects students’ interest in the learning of mathematics and there is a direct relationship between confidence and motivation. A student’s knowledge about the usefulness of mathematics indirectly increases the student’s interest in mathematics.</text>
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                <text>2018</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;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=ECTxVnYAAAAJ:IWHjjKOFINEC</text>
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                  <text>Food Science </text>
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                <text>Modelling the effects of feed moisture and ingredient variations on the physical properties and functional characteristics of extruded sorghum-groundnut-cowpea blends using …</text>
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                <text>Emmanuel K Asare, Samuel Sefa-Dedeh, Emmanuel Ohene Afoakwa, Esther Sakyi-Dawson, Agnes S Budu</text>
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            <description>An account of the resource</description>
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                <text>Central composite rotatable design for k = 3 was used to study the combined effect of feed moisture (12-44%), cowpea concentration (0-20%) and groundnut concentration (0-10%) on the physical and functional properties of extruded sorghum-legume blends in a single screw extruder using response surface methodology. Product expansion ratio, bulk density, total colour change, water absorption capacities at 27°C and 90°C and swelling capacities were determined on the products using standard analytical methods. Expansion ratio, bulk density and total colour of extrudates from the sorghum-legume blends decreased with increasing feed moisture. Increasing the concentration of legumes in the product increased the water absorption capacities at 27°C and 70°C and increased swelling capacities due to the gel forming ability of the macromolecules (proteins and starch) in the products and availability of …</text>
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                <text>De Gruyter</text>
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                <text>2010</text>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Seasonal changes in stream habitat structure and its relationship with fish community structure in a low gradient stream in Sunyani, Ghana</text>
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                <text>PO Sanful, S Amfoh, AW Iddrisu</text>
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                <text>tudies on seasonal changes in stream structure and its effect on habitat quality, distribution, abundance and biomass of stream fishes in Ghana is limited. Understanding seasonal changes in stream habitat structure and adaptive responses of fish populations is essential for stream protection and conservation of stream ecosystems and their resident fish populations. Seasonal changes in stream structure, physicochemical characteristics and fish community structure were investigated in an urban stream in Sunyani, Ghana. Data was collected monthly from November 2016 to November 2017 at upstream, midstream and downstream sites. High spatial heterogeneity and temporal variability in stream structure affected by the dry and wet seasonal cycles was observed. Twelve species of fish belonging to eight families and ten genera were recorded, with catfishes dominating community biomass. The diet pattern of fish species differentiated the community into herbivore, piscivore and omnivore trophic levels. Herbivores were most abundant and consumed a wide range of plantbased food. Fish habitats disappeared and mortality increased upstream and midstream during the dry season. However, the downstream habitat persisted as a result of the unique morphology which resulted in a relatively deep depth, large canopy cover and presence of water lettuce Pistia stratiotes which minimized water loss. Water quality did not differ significantly across the stream in all seasons. Higher water clarity downstream cooccurred with Pistia proliferation along with elevated fish biomass during the dry season. Stream structure, rather than physicochemical …</text>
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                <text>West African Journal of Applied Ecology</text>
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                <text>2021</text>
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                <text>Research Article Comparing Bayesian and Maximum Likelihood Methods in Structural Equation Modelling of University Student Satisfaction: An Empirical Analysis</text>
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                <text>Killian Asampana Asosega, Wahab Abdul Iddrisu, Kassim Tawiah, Alex Akwasi Opoku, Eric Okyere</text>
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                <text>Students’ satisfaction in the university environment is essential to both the student (customer) and management of the university. Satisfied students are determined to succeed in their academics, and this sustains their loyalty and trust, which results in an improved image and esteem of the university. This study examined the level of students’ satisfaction with campus facilities and infrastructure, campus social life, student support services, and the quality of academics in the University of Energy and Natural Resources (UENR) in Ghana and further investigated how students’ satisfaction with the above four areas of the university environment affect each other. A questionnaire was administered to continuous students in UENR, and the collected data were analysed using structural equation modelling within the maximum likelihood and Bayesian frameworks whose results and performance were compared. Results showed that students’ satisfaction levels with available campus facilities, campus social life, and student support services were low but were fairly satisfied with the quality of academics. Both maximum likelihood and Bayesian techniques showed positive significant effects of students’ satisfaction with campus facilities and infrastructure on satisfaction with campus social life, students’ support services, and academics. Moreover, students’ satisfaction with social life was positively associated with their satisfaction with academics and student support services. Although both estimation methods obtained similar estimates and inferences, the Bayesian SEM outperformed the ML-SEM based on the recommended fit indices. Findings of the study …</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;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=ECTxVnYAAAAJ:hqOjcs7Dif8C</text>
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                <text>The Road to a Greener Future: How Government Expenditure and Effectiveness Drive Renewal Energy Consumption</text>
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                <text>Alhassan Bunyaminu, Shani Bashiru, Wahab Abdul Iddrisu, Adibura Baba Seidu, Ahmed Jamal Iddrisu</text>
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                <text>This study examines the impact of government expenditure and government effectiveness on renewable energy consumption in Africa from 1990 to 2021. Utilizing the fixed effects technique, the findings indicate a positive significant relationship between government expenditure and renewable energy consumption, while government effectiveness demonstrates a significant negative influence. Additionally, trade openness and urbanization exhibit a negative impact on renewable energy usage. The effect of foreign direct investment (FDI) on renewable energy consumption is found to be mixed. To facilitate the transition towards a greener energy future in Africa, the study recommends several measures including increasing government expenditure on renewable energy, enhancing government effectiveness, promoting sustainable trade practices, and prioritizing sustainable urban planning.</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;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=ECTxVnYAAAAJ:u-x6o8ySG0sC</text>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Research Article Modeling Cholera Epidemiology Using Stochastic Differential Equations</text>
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                <text>Wahab A Iddrisu, Inusah Iddrisu, Abdul-Karim Iddrisu</text>
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                <text>In this study, we extend Codeço’s classical SI-B epidemic and endemic model from a deterministic framework into a stochastic framework. Then, we formulated it as a stochastic differential equation for the number of infectious individuals I (t) under the role of the aquatic environment. We also proved that this stochastic differential equation (SDE) exists and is unique. The reproduction number, R0, was derived for the deterministic model, and qualitative features such as the positivity and invariant region of the solution, the two equilibrium points (disease-free and endemic equilibrium), and stabilities were studied to ensure the biological meaningfulness of the model. Numerical simulations were also carried out for the stochastic differential equation (SDE) model by utilizing the Euler-Maruyama numerical method. The method was used to simulate the sample path of the SIB stochastic differential equation for the number of infectious individuals I (t), and the findings showed that the sample path or trajectory of the stochastic differential equation for the number of infectious individuals I (t) is continuous but not differentiable and that the SI-B stochastic differential equation model for the number of infectious individuals I (t) fluctuates inside the solution of the SI-B ordinary differential equation model. Another significant feature of our proposed SDE model is its simplicity.</text>
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                <text>2023</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;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=ECTxVnYAAAAJ:zYLM7Y9cAGgC</text>
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              <name>Title</name>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Content-Based Spam Classification of Academic E-mails: A Machine Learning Approach</text>
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              <elementText elementTextId="12093">
                <text>Wahab Abdul Iddrisu, Sylvester Kwasi Adjei-Gyabaa, Isaac Akoto</text>
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            <description>An account of the resource</description>
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                <text>In the academic environment, players have overstretched University faculty with less available time. The task of reading and deleting electronic mail (e-mail) spam tends to consume or steal the little available time they have at their disposal. Due to the spam issue, automated processes or methods for separating spam from valid emails are becoming important. Due to the unstructured nature of the material, additional features, and a vast number of documents, the process of automatically classifying spam email presents significant difficulties. Increasing usage of the e-mail spam directly affects the performance of these spam classifications with regards to the quality and speed based on the challenges stated above. Most of the recent algorithms consider only relevant features or characteristics for the classification of the e-mails as spam or legitimate. The main objective of this work was to use a machine-learning …</text>
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                <text>Springer Nature Singapore</text>
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            <name>Date</name>
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              <elementText elementTextId="12096">
                <text>2023</text>
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              <elementText elementTextId="12097">
                <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:ufrVoPGSRksC</text>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Enhancing the success of Ghanaian public road construction projects</text>
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              <elementText elementTextId="12087">
                <text>Humphery Danso, Chelteau Barajei, A Nongiba Kheni, Emmanuel Appiah-Kubi, A Wahab Iddrisu</text>
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                <text>The objective of this research paper is to determine the critical success factors (CSFs) influencing the success of public road construction projects from the perspective of a developing nation. A self-administered questionnaire was used to gather data on the extent to which critical success factors gathered from literature impact the success of public road construction projects from sector practitioners’ perspectives in Ghana. The data was then analysed using factor analysis. The study revealed that external environmental factors have the highest influence (46.23%) on public road construction project success, followed by project management factors (12.25%) while procurement-related factors have the least impact (6.97%). Public construction project management organisations and the government will now have a deeper understanding of CSFs that influence the success of public construction projects and use them …</text>
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                <text>2023</text>
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              <elementText elementTextId="12090">
                <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:qUcmZB5y_30C</text>
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