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                <text>Main Objectives and Expectations for the Use of Social Media in the Public Sector in Africa</text>
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                <text>This chapter interrogates Africa’s public sector organisations’ major objectives for using social media. The review of the literature and social media accounts found that social media platforms are used to provide information to citizens. The secondary objective is to identify effective pathways for offering opportunities for citizens to engage with public sector organisations in Africa. The chapter also identifies that social media platforms assume increased importance during times of crisis to manage emergencies in Africa. Social media platforms are an integral part of delivering e-government services in African countries. On the political front, social media plays a crucial in promoting democracy and citizens’ political participation. This chapter acknowledges the role played by social media platforms in enhancing government communications, engagement, and participation in governance.</text>
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                <text>EcD-Net: Encoder-Corollary Atrous Spatial Pyramid Pooling-decoder network for automated pancreas segmentation of 2D CT images</text>
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                <text>Automatic pancreas segmentation of CT scans enables physicians to identify and monitor the abnormalities in the pancreas. This facilitates intraoperative assistance, surgical planning, prognosis, and diagnosis. Nonetheless, the size and location of the pancreas in the CT image input data present a significant challenge for automatic segmentation, and the intricacy of the background region confounds deep segmentation networks. To solve this difficulty, we propose the Encoder-Corollary Atrous Spatial Pyramid Pooling-Decoder Network (EcD-Net) for locating and segmenting the pancreas. This two-tiered method begins with a coarse segmentation stage for locating the pancreas within the overall CT image. Using the detected image from the first tier, a fine segmentation network based on U-Net is applied to segment the target organ (pancreas). A novel Saturated Multi-view Dense Module (SMD- Module) is …</text>
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                <text>Following the rising importance of energy transition in the environmental sustainability discussion, it is imperative to understand the roles of sustainable energy innovations and financialization to reach informed inferences for policy formulation. We examined the environmental quality performance in Sub-Sahara Africa using the case of the resource-rich Ghanaian state vis-à-vis the possible moderating influence of green innovations and financial development. The empirical analysis encompassed various estimation issues, including structural breaks, heteroscedasticity, and normality in data structure. We simulated with the dynamic autoregressive-distributed lag technique and confirmed that financialization, resource rents, and economic growth are significant positive determinants of pollutant emissions. However, green innovations decrease the rate of pollution in the nation. Moreover, the interaction between …</text>
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                <text>A Hybrid Security Algorithm in Container-based Virtualization Environments Using Residue Number Systems</text>
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                <text>Prince Modey, Emmanuel Freeman, Stanley Opoku-Yeboah, Ebenezer Avulekpor</text>
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                <text>The need for vigorous security methods becomes a great concern as container-based virtualization continues to gain close attention in modern edge computing environments. This study proposed a novel hybrid security algorithm designed specifically for containerized virtualization technology, leveraging the distinctive capabilities of Residue Number Systems (RNS). The proposed algorithm integrates the strengths of the bits permutation technique with the efficiency and parallelism inherent in RNS to enhance data security in containerized systems. The proposed algorithm combines RNS-based encryption and decryption processes with the bits permutation technique to form an adaptable security scheme. This proposed hybrid technique leverages an RNS's ability to perform modular arithmetic operations in parallel, offering data protection against certain attacks. The proposed security algorithm unlike the risk …</text>
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                <text>Can Ghana build its economy on renewable energy? Is it possible to substitute nonrenewable for renewable energy? What is the impact of renewable energy on the economy of Ghana? These questions are relevant and worth considering as far as the renewable energy development agenda in Ghana is concern. Using the translog production function approach, this study primarily investigates whether Ghana can move away from nonrenewable electricity generation to renewable power generation. In particular, we provide estimates for the relationship between the two energy types and output. The estimates are then used to calculate the output and substitution elasticities between renewable and nonrenewable energy. Our findings show that while the impact of nonrenewable energy on Ghana's economy is negative, that of renewable energy is insignificant, with output elasticities for both energy types averaging −0 …</text>
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                <text>Prince Modey, Gaddafi Abdul-Salaam, Emmanuel Freeman, Patrick Acheampong, William Leslie Brown-Acquaye, Israel Edem Agbehadji, Richard C Millham</text>
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                <text>In Wireless Sensor Networks (WSNs), an efficient clustering technique is critical in optimizing the energy level of networked sensors and prolonging the network lifetime. While the traditional bee colony optimization technique has been widely used as a clustering technique in WSN, it mostly suffers from energy efficiency and network performance. This study proposes a Bee Colony Optimization that synergistically combines K-mean algorithms (referred to as K-BCO) for efficient clustering in heterogeneous sensor networks. This is to develop a robust and efficient clustering algorithm that addresses the challenges of energy consumption and network performance in WSNs. The K-BCO algorithm outperformed comparative clustering algorithms such as H-LEACH, DBCP, and ABC-ACO in average error rate (AER), average data delivery rate (ADDR), and average energy consumption (AEC) for transmitting data packets from sensors to cluster heads. The K-BCO outperformed other algorithms in terms of ADDR at 95.00% against H-LEACH (75.86%), DBCP (72.07%) and ABC-ACO (90.08%). The findings indicate that the K-BCO not only optimizes energy consumption but also guarantees more stable and robust solutions, thereby extending the network lifetime of WSNs. Thus, K-BCO is recommended to practitioners in wireless sensor networks as it paves the way for more efficient and sustainable wireless communication.</text>
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                <text>Israel Edem Agbehadji, Richard C Millham, Emmanuel Freeman, Wanqing Wu, Xianbin Zhang</text>
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                <text>Security is one of the increasingly significant issues given advancements in technology that harness data from multiple devices such as the internet of medical devices. While protecting data from unauthorized user access, several techniques are used including fingerprints, passwords, and others. One of the techniques that has attracted much attention is the use of human features, which has proven to be most effective because of the difficulties in impersonating human-related features. An example of a human-related attribute includes the electrical signal generated from the heart, mostly referred to as an Electrocardiogram (ECG) signal. The methods to extract features from ECG signals are time domain-based; however, the challenge with relying only on the time-domain or frequency-domain method is the inability to capture the intra-leading relationship of Variational Mode Decomposition signals. In this research …</text>
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                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=rQvaaoMAAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=rQvaaoMAAAAJ:9ZlFYXVOiuMC</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Public Sector Marketing Communications: Insights from/for the Primus National Football League Rwanda</text>
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                <text> Robert Ebo Hinson</text>
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                <text>This chapter highlights the potential of an unexplored African Professional Football League to leverage its brand through effective marketing communications. The chapter is primarily documentary analysis-driven, drawing upon a mixture of official statistics, contingent literature and personal observation, especially the on-pitch performance of the Rwanda Professional League Football. Considering the sponsorship deals the government of Rwanda has with Arsenal Football Club in the English Premier League, and the VisitRwanda visibility, it is surprising that the domestic league is less globally visible. Interestingly, the league recently secured a sponsorship deal with the local brewer, Bralirwa, promoting a change of label Primus National League due to agreed naming rights with the domestic brewer. Arguably, football leagues are quasi-government entities and deserving of the label, public sector. Overall, the chapter advances a potential avenue for a perception change of global observers (including potential investors) of the football league in a country at the forefront of African development.</text>
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                <text>First Online</text>
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                <text>2023</text>
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                <text>https://link.springer.com/chapter/10.1007/978-3-031-17863-4_10</text>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Green Computing Model for Computer Users in Ghana: An Approach to Sustainable Energy Use</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>EMMANUEL FREEMAN, PATRICK BAA-ACQUAH</text>
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            <description>An account of the resource</description>
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                <text>This study intends to develop a sustainable green computing model for computer users in Ghana. What necessitated for this study includes issues of the human environment and conservations of energy in Ghana. To achieve this, both quantitative and qualitative methods are used to capture data for the findings and analysis. A sample size of 200 computer users for both primary users (domestic users) and secondary users (manufacturers and commercial users) in various organizations in Ghana is used. The research integrated the Rogers Diffusion of Innovation (DOI) Model and Technology-Organization-Environment (TOE) Framework Model to develop a proposed model to capture all the dimensions and elements needed to adopt and practice Green Computing in Ghana. Analysis of the study has shed light on the levels of green computing knowledge and practice possessed by computer users. The scenario that emerged from the findings is less than desirable. Given the importance of green computing awareness, knowledge, practice and adoption. The general impression from the study is that, computer users in Ghana generally have either low levels of green computing habits and practices or none at all. This is especially true for the primary users than for the secondary users. The two differ significantly in their adherence to eco-friendly and energyefficient computing practices. To promote Green Computing adoption and practice in Ghana, a proposed model has been developed to guide the use of server virtualization, energy conservation, and proper way to dispose of e-waste. This model is intended to help improve the adoption and practice …</text>
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                <text>2017</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="13522">
                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=rQvaaoMAAAAJ&amp;amp;cstart=20&amp;amp;pagesize=80&amp;amp;citation_for_view=rQvaaoMAAAAJ:u5HHmVD_uO8C</text>
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                  <text>Faculty of IT Business</text>
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                <text>On Nigeria's renewable energy program: Examining the effectiveness, substitution potential, and the impact on national output</text>
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                <text>Boqiang Lin, Isaac Ankrah</text>
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                <text>Considering the objectives of Nigeria's Renewable Energy Program, three basic questions are asked in this study: Can Nigeria really build its economy on renewable energy? Is it possible to substitute nonrenewable energy for renewable energy? What is the impact of renewable energy on the economy? This study primarily analyzes renewable energy development in Nigeria. Among other things, we estimate the economic impact, output elasticity, and the substitution possibilities of both renewable and nonrenewable energies. Our findings, based on a dataset from 1980 to 2015, in the framework of the translog production function, show that capital and labor are the main drivers of output in Nigeria; however, the economic impact of both energy types (renewable and nonrenewable) are insignificant, even though positive. With output and substitution elasticities being positive, this study confirms the possibility of …</text>
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                <text>Pergamon</text>
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                <text>2019</text>
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              <elementText elementTextId="13516">
                <text>https://scholar.google.com/citations?view_op=view_citation&amp;amp;hl=en&amp;amp;user=qSyX_i8AAAAJ&amp;amp;citation_for_view=qSyX_i8AAAAJ:qjMakFHDy7sC</text>
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