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                <text>The rate at which Ghana’s domestic debt is increasing has raised concerns among economists and policymakers, due to the former’s potential effect on private sector growth, economic growth rate and debt sustainability. The objective of this study is to examine Ghana’s domestic debt, its sustainability on economic growth rate and the causal relationship between debt and growth. Using data from the World Bank and the Ministry of Finance for the period between 1994 and 2018, we estimate an ARDL Model to examine the effect of domestic debt on economic growth and private sector investment. We adopt the cointegration and fully modified regression to examine domestic debt sustainability. The results indicate that increases in Ghana’s domestic debt are growth-enhancing while increased in importation is growth-inhibiting. The fully modified regression and Johansen co-integration test model also suggest that the …</text>
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                <text>The rate at which Ghana’s domestic debt is increasing has raised concerns among economists and policymakers, due to the former’s potential effect on private sector growth, economic growth rate and debt sustainability. The objective of this study is to examine Ghana’s domestic debt, its sustainability on economic growth rate and the causal relationship between debt and growth. Using data from the World Bank and the Ministry of Finance for the period between 1994 and 2018, we estimate an ARDL Model to examine the effect of domestic debt on economic growth and private sector investment. We adopt the cointegration and fully modified regression to examine domestic debt sustainability. The results indicate that increases in Ghana’s domestic debt are growth-enhancing while increased in importation is growth-inhibiting. The fully modified regression and Johansen co-integration test model also suggest that the recent path of Ghana’s domestic debt is sustainable, though weak.</text>
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                <text>The development of internet technology gives consumers the chance to transfer packets across networks instantly. Such developments in internet technology are anticipated to ease congestion. Despite this, the majority of firms were bound by the expense of deploying cutting-edge technology or updating network infrastructure, necessitating efficient congestion management. Inherent distribution optimisation, which requires each source device on the network to continually adjust to its traffic load using the feedback information received or acknowledged from another source device, is unfortunately the problem with congestion management. This research addresses the issue of continually adjusting to a network traffic load by presenting a unique optimisation technique. This strategy is based on the features and hunting behaviour of foxes and rabbits on wild grass. A computer network congestion optimisation …</text>
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                <text>Computer networking congestion control is an important area of research. This study presents a bibliometric analysis of trends in computer networking congestion control research over the past decade. A total of 1,156 papers published in top-tier networking conferences and journals were analyzed using various bibliometric techniques. The results of the analysis show that the number of publications in this field has been steadily increasing over the years, with a significant rise in the number of publications related to machine learning-based congestion control techniques. The study identifies the most influential authors, institutions, and countries in this field. The analysis also identifies the most frequently cited papers, which provide valuable insights into the key concepts and developments in this field. This study provides a comprehensive overview of the trends in computer networking congestion control research …</text>
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                <text>The challenge of allocating workforce efficiently has long plagued project management, especially in the domain of computer networking. The intrinsic diversity of tasks, rapid technological advancements, and multifaceted skill requirements often culminate in project delays, inflated costs, and operational inefficiencies. Efficiently estimating and allocating the workforce in networking projects to ensure timely completion, minimize costs, and uphold high-quality standards remains a significant challenge in project management. To address this, we present the "Rule of Thumb for Workforce Allocation (ROT4WFA)", a novel methodology specifically designed for networking projects. Grounded in empirical insights and decades of industry experience, ROT4WFA offers a structured approach, providing a clear roadmap for project managers and stakeholders. It directs project managers and stakeholders through the intricacies …</text>
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                <text>Optimising a Formulated Cost Model to Minimise Labour Cost of Computer Networking Infrastructure: A Systematic Review</text>
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                <text>Richard Nana Nketsiah, Richard C Millham, Israel Edem Agbehadji, Emmanuel Freeman, Ayogeboh Epizitone</text>
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                <text>Contemporary enterprises need to manage their infrastructure effectively while keeping personnel costs low to ensure profitability. Achieving this necessitates the study of employing a quantitative research approach to develop a cost model that enables companies to optimise their networking infrastructure while reducing human expenses. The study identified variables such as topologies and configuration complexities that affect labour costs and incorporated the uncovered methods for cutting labour expenses into the developed cost model. Thus, to establish the model's efficacy, the study used real-world data to validate the proposed cost model and compare it to other models. The findings indicate that the cost model can reduce labour costs in computer networking infrastructure and other areas while maintaining excellent network performance and reliability. The study highlights the issues that can impact policy …</text>
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