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                <text>Efficient modelling of a PCB transmission line for high speed digital systems</text>
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                <text>This paper proposes a model of PCB traces for high speed digital systems. The adopted approach involves predetermined geometry using direct discretization of transmission lines. Initially, the proposed methodology involves computing the line propagation delay by employing its geometry with associated empirical equations. The initial procedure paves the way to design a Lattice diagram which depicts multiple reflections that the signal underwent due to impedance mismatches between transmission lines and loads. Subsequent computations of electrical model parameters were further done. Simulation results using Multisim software illustrated a favorable performance with a time delay of 1.42 ns and an equivalent electrical model of 10 lumped LC cells. The time delay between input and output signal obtained from the simulation was approximately 15.152 ns corresponding to the time it took for a transmitted …</text>
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                <text>Application of Classical Multiplicative Decomposition Time Series Predictive Model for the Forecast of Domestic Electricity Demand and Supply: A Ghanaian Context.</text>
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                <text>In modern technology and systems modeling, electric energy forecast is extremely vital for the attainment of effective application of energy policies. This model is formulated after a thorough study of the power load conditions of Ghana and the factors that affect domestic electricity demand and supply in the country was conducted. In Ghana, the Long-range Energy Alternatives Planning (LEAP) forecast model is officially applied for electricity demand and projection of power supply which comes with forecasting errors. Thus, there exists a crucial need to develop a forecasting model for the best energy policies formulation and consequent minimization of overall forecasting error compared to the LEAP model. A step-by-step mathematical approach of forecasting time series data of all the domestic electricity demand areas of Accra, namely: Mallam, Achimota and Accra East 9-year data was applied in the forecasting …</text>
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                <text>In the manufacturing industry of Printed Circuit Boards (PCBs), the quality and reliability of circuits are highly dependent on the accuracy of the manufacturing processes. Etching is the most sensitive process needed in manufacturing processes and needs more accuracy. In cases of etching inaccuracies, severe problems may occur, leading to the degradation of circuit performance and the malfunction of circuits.</text>
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                <text>In modern technology and systems modeling, electric energy forecasting is extremely vital in gaining effective application of energy policies. This model is formulated after a thorough study of the power load conditions of Ghana as well as the factors that affect domestic electricity demand of supply in the Country was conducted. In Ghana, the LEAP (Long-range Energy Alternatives Planning) forecast model is officially applied for electricity demand and projection of power supply which comes with forecasting errors. Thus, there exists a crucial need to develop a forecasting model for the best energy policies formulation and consequent minimization of overall forecasting error compared to the LEAP model. Results from the quantitative classical multiplicative decomposition forecast model is comparatively precise with a reduced forecast error margin between− 5–4.5% compared to an existing prediction error margin viz., 1% to-11%.</text>
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                <text>Energy in all forms is a key requirement for human livelihoods and socio-economic development. However, overreliance on a single sthece of energy can cause energy management issues because of the occurrence of system over-burdening. Thus, the utilization of other forms of energy is highly promoted worldwide, with a clear emphasis on enhancing environmentalism and reducing pollution through waste management and control. This paper considers the use of digital image processing in the form of pattern recognition to extract the pattern of a coconut shell and charcoal wood to show the correlation between their patterns and thus deduce the energy properties of the coconut shell.</text>
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                <text>Wilhelm Burger, Mark J. Burge</text>
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                <text>Hybridizing an extended technology readiness index with technology acceptance model (TAM) to predict e-payment adoption in Ghana</text>
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                <text>Patrick Acheampong, Li Zhiwen, Henry Asante Antwi, Anthony Akai Acheampong Otoo, William Gyasi Mensah, Patrick Boateng Sarpong</text>
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                <text>At the heart of electronic commerce is the ability of a customer to be able to pay for goods and services unrestricted by location. Electronic payment system offers customers the convenience and flexibility to digitally pay online. Our study extended the technology readiness index and evaluated its influence on the technology acceptance model to predict user acceptance and use of e-payment technology. An online version of a questionnaire was administered to the population aged 1500 users of e-banking and mobile money users in six cities in Ghana (Accra, Tema, Kumasi, Cape Coast, Sekondi-Takoradi and Tamale) on the social media. A printed version of the questionnaire was self administered to other respondents largely, users of mobile transfer services in Ghana who did not have access to reliable internet services or computer. The post-data integrity results was analysed using a robust version of feed forward Radial basis function neural network. We observed a non-inflated overall incorrect prediction score between below 25% in both cases. It decomposed into a positive and significant relationship between personal innovativeness, personal optimism, high perceived convenience and perceived usefulness and perceived ease of use which positively influences epayment adoption. The case of personal insecurity and personal discomfort returned negative effects and are consistent with the extant literature</text>
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                <text>Examining the intervening role of age and gender on mobile payment acceptance in Ghana: UTAUT model</text>
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                <text>Patrick Acheampong, Li Zhiwen, Kamal Kant Hiran, Obobisa Emma Serwaa, Frank Boateng, Isaac Asare Bediako</text>
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                <text>The internet is by far one of the novel technologies that has shaped and supported all human endeavors. The phenomenal growth of the internet has been the backbone to the development of other cutting-edge technologies of which mobile payment is not an exception. The emergence of wireless technology and smartphones has brought to consumers an extraordinary way of carrying out day-to-day activities. These mobile and smartphones technology have become the driving force of many businesses today. Mobile payment provides ubiquity and offers a very convenient way for consumers to conduct transactions anytime and anywhere over wireless telecommunications networks. The sole intention of this study was to examine the moderating effects of age and gender on electronic payment based on the Unified Theory of Acceptance and Use of Technology (UTAUT) theoretical model. Using a sample of 1098 respondents, we collected and analysed the data by employing regression. The results confirm that “performance expectancy”, effort expectancy for male respondents were higher than the mean for female respondents while the mean score of the variable for social influence for female is higher than the male respondents. On the other hand, the findings statistically concluded that the moderating effect of age was significant.</text>
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                <text>The effect of herd formation among healthcare investors on health sector growth in China</text>
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                <text>Zhou Lulin, Henry Asante Antwi, Wenxin Wang, Ethel Yiranbon, Emmanuel Opoku Marfo, Patrick Acheampong</text>
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                <text>Background&#13;
China has become the world‘s second largest healthcare market based on a recent report by the World Health Organization. Eventhough China achieved universal health insurance coverage in 2011, representing the largest expansion of insurance coverage in human history achieved; health inequality remains endemic in China. Lessons from the effect of market crisis on health equity in Europe and other places has reignited interest in exploring the potential healthcare market aberrations that can trigger distributive injustice in healthcare resource allocation among China’s provinces. Recently, many healthcare investors in China have become more concerned about capital preservation, and are responding by abandoning long term investments strategies in healthcare. This investment withdrawal en mass is perceived to be influenced by herding tendencies and can trigger or …</text>
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                <text>BioMed Central</text>
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                  <text>Faculty of Computing and Information Systems</text>
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                <text>Determinants of behavioral intentions of ‘Generation-Y’adoption and use of computer-mediated communication tools in Ghana</text>
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              <elementText elementTextId="18233">
                <text>Patrick Acheampong, Li Zhiwen, Frank Boateng, Adelaide Brenya Boadu, Anthony Akai Acheampong</text>
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                <text>The ubiquitous nature of information and communication technology can be a very reliable conduit that enables people to share and deliver messages even when they are geographically unbounded. Today, the unbounded nature of the internet has facilitated computer-mediated communication. The emergence of mediated communication tools such as QQ, Wechat, Whatsapp etc have eventually drifted the attention of a whole generation from making phone calls to text messaging. We sampled 1823 students from 15 tertiary institutions across the ten regions of Ghana to answer a question designed on the UTAUT 2 model. Our objective was to determine the distinctive factors influencing the adoption and use of these computermediated communication tools among this category of respondents and the presence of intervening mechanism with their identifiable effects. We noted that the odds ratio of 1.751 and a confidence interval of 95%, suggest that females were more likely to use computer mediated communication tools than their male counterparts at a confidence interval of 95%(Sig= 0.002). Similarly, the age group (18-25 years) were 0.726 more likely to use computer mediated communication tools than elderly ones and this was statistically significant at 95% confidence interval (p-value= 0.000). Similar significant values were recorded for all the items of UTAUT 2 and perceived convenience.</text>
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