124 10 3075 https://www.repository.gctu.edu.gh/files/original/b2347ebc0f9039ca43c9958c1cd35403.pdf 4a5cb5477de451eab69ebf4337951596 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling the Impact and Effects of Climatic Variability on Electricity Energy Consumption in the Yendi Municipality of Ghana Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Sampson T Appiah, Khalid Abdul-Mumin, Abdul-Rahman Abdul-Samed Description An account of the resource One of the cherished assets of every economy is electricity since it has proven to be the major source of energy for industrialization. Developing economies like Ghana have suffered the downside of poor management of the already inadequate electrical energy at its disposal. This is as a result of limited research into factors that influences electricity energy consumption, most importantly, the effects of climatic variables on electricity energy consumption. This research work explores the causal connection between climatic variables and electricity energy consumption, and develops a Vector Auto Regression (VAR) model to determine the influence of the climatic variables in forecasting electricity energy consumption in Yendi Municipality in the northern region of Ghana. The climatic factors considered in this work are; Rainfall (Rain), maximum temperature (Tmax), Sunshine (Sun), Wind (wind) and Relative Humidity (RH). The Granger causality tests employed in this work revealed that aside from Relative Humidity, the end energy consumption is affected by the other four climatic factors under consideration. The impulse response was used to ascertain the active interaction among electricity energy consumption and the climatic variables. The impulse response of electricity energy consumption to the climatic variables indicates a maximum positive effect of Temperature and Sunshine on electricity energy consumption in March and September respectively. The VAR model was also used in forecasting future consumption of electricity energy. The results indicate excellent forecasts of electricity Publisher An entity responsible for making the resource available Scientific Research Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=ECTxVnYAAAAJ:0EnyYjriUFMC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/4ce80bd28d0b23f072a4ca7fedb801b2.pdf 76ab33af3ab8ba5b0a5b81348543b81b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling the Causes of Power‐Related Network Outages Using Discrete‐Time Markov Chains Creator An entity primarily responsible for making the resource Ibrahim A Gedel, Wahab A Iddrisu Description An account of the resource In this paper, we model the causes of power‐related network outages in Ghana using discrete‐time Markov chains. We used data consisting of 2,756 small‐scale carrier telecommunications outages occurring in Ghana, with accompanying root causes over a period of 5 years and 8 months, from August 2015 to April 2021. The results indicate that the majority (n = 1,404) of the network outages were caused by the generators while the least number (18) of outages were caused by a communication equipment. However, longer network outages were caused by fuel issues with an average outage time of 1,027.82 min over the study period. The transition probability matrix obtained from the data revealed that regardless of the present cause of the network outage, the probability that the next network outage will be caused by the generators is higher than the probability that the outage will be attributable to any other … Publisher An entity responsible for making the resource available Hindawi Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=ECTxVnYAAAAJ:qxL8FJ1GzNcC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/3c3fdde218367891334319ff2d17bd2e.pdf 18d4440932470eced113bd574e85ed28 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Food Science Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparing flavor profiles of dark chocolates refined with melanger and conched with Stephan mixer in various alternative chocolate production techniques Creator An entity primarily responsible for making the resource Michael Hinneh, Davy Van de Walle, Daylan Amelia Tzompa-Sosa, Julie Haeck, Enoch Enorkplim Abotsi, Ann De Winne, Kathy Messens, Jim Van Durme, Emmanuel Ohene Afoakwa, Luc De Cooman, Koen Dewettinck Description An account of the resource The use of alternative equipment for chocolate production is gaining attention in recent times in many countries. This is due to the lower cost of investment and maintenance, multi-functionality, and lower throughput. This study was conducted to investigate the applicability of two of such equipment; melanger and Stephan mixer. In the first set-up, the possibility of refining chocolate with the melanger in comparison with the conventional 3-roll refiner was explored. Whereas in the second set-up, the applicability of the Stephan mixer (aided with a vacuum pump) for a conching-like application was also investigated. From each set-up, 70% dark chocolates produced through various alternative means were then evaluated on the basis of their flavor profiles. Specific groups of volatiles such as aldehydes, ketones, terpenes and terpenoids, showed significant (p < 0.05) differences due to the different refining … Publisher An entity responsible for making the resource available Springer Berlin Heidelberg Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=EZuX1N8AAAAJ&amp;cstart=80&amp;citation_for_view=EZuX1N8AAAAJ:PQ6BjWB6CiEC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/274348eda0060069f848032bc40e0152.pdf fac50f6c0418e94decdde1c2fc793e75 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessment of Neonatal Mortality and Associated Hospital-Related Factors in Healthcare Facilities Within Sunyani and Sunyani West Municipal Assemblies in Bono Region, Ghana Creator An entity primarily responsible for making the resource Kassim Tawiah, Killian Asampana Asosega, Samuel Iddi, Alex Akwasi Opoku, Iddrisu Wahab Abdul, Richard Kwame Ansah, Francis Kwame Bukari, Eric Okyere, Atinuke Olusola Adebanji Description An account of the resource Objectives Ghana’s quest to reduce neonatal mortality, in hospital facilities and communities, continues to be a nightmare. The pursuit of achieving healthy lives and well-being for neonates as enshrined in Sustainable Development Goal three lingered in challenging hospital facilities and communities. Notwithstanding that, there have been increasing efforts in that direction. This study examines the contributing factors that hinder the fight against neonatal mortality in all hospital facilities in the Sunyani and Sunyani West Municipal Assemblies in Bono Region, Ghana. Methods The study utilized neonatal mortality data consisting of neonatal deaths, structural facility related variables, medical human resources, types of hospital facilities and natal care. The data was collected longitudinally from 2014 to 2019. These variables were analysed using the negative binomial hurdle regression (NBH) model to determine factors … Publisher An entity responsible for making the resource available SAGE Publications Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=ECTxVnYAAAAJ:roLk4NBRz8UC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/9f265df8a4031855de5ce63b1a4489cc.pdf 26128ffe5069d7a0130a277da1b4801b Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Food Science Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Response surface methodology for studying the effect of processing conditions on some nutritional and textural properties of bambara groundnuts (Voandzei subterranea) during … Creator An entity primarily responsible for making the resource Emmanuel Ohene Afoakwa, Agnes Simpson Budu, Alan Bullock Merson Description An account of the resource The response surface methodology and central composite rotatable design for K=3 was used to study the combined effect of blanching, soaking and sodium hexametaphosphate salt concentration on moisture, ash, leached solids, phytates, tannins and hardness of bambara groundnut during canning. Regression models were developed to predict the effects of the processing parameters on the studied indices. Significant interactions were observed between all the factors with high regression coefficients (64.4–82.6%). Blanching and soaking of the seeds prior to canning led to increases in moisture content and leached solids, while significant decreases were observed for phytates, tannins and hardness of the canned bambara groundnuts. Increasing the concentration of sodium salt added during soaking caused significant (P≤0.05) decreases in phytates, tannins and the hardness of the seeds, suggesting that pre … Publisher An entity responsible for making the resource available Taylor & Francis Date A point or period of time associated with an event in the lifecycle of the resource 2007 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=EZuX1N8AAAAJ&cstart=80&citation_for_view=EZuX1N8AAAAJ:tswL-GKFg8UC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/0fc9c8e917b19b6574b8fae60364bde2.pdf 67cdec0f251c0401b7a4417ec90fbd0f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling downtime severity of telecommunication networks using discrete time Markov chains Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Ibrahim A Gedel Description An account of the resource Telecommunication network reliability remains a top priority for both customers and service providers. Downtime can result in revenue loss for providers and productivity loss for customers. Thus, accurately predicting downtime severity can help providers plan and respond effectively. This study models telecommunication network downtime severity using discrete-time Markov chains (DTMC). The data used consists of 1,211 daily network downtime records, in minutes, recorded by Ghana's national communications authority (NCA) from August 1, 2015, to April 30, 2021. The severity of daily downtime was categorized into 5 categories based on duration. Results indicate that the majority (n= 905) of daily network downtime was negligible, while only 25 outages were severe. The transition probability matrix indicates that if the present network downtime severity is negligible, there is an 81% chance that the next network downtime severity may also be negligible, a 12% chance of minimal severity, a 4% chance of significant severity, a 2% chance of serious severity, and a 1% chance of severe severity. The steady-state distribution indicates that over the long term (n≥ 17), 74% of network downtime severity is expected to be negligible, while only 2% is expected to be severe. Based on probability simulations for 12 steps, it is evident that the'negligible'category is the most probable network downtime severity, regardless of the initial severity category. These findings can assist telecommunication providers in better planning and delivering more reliable services to their customers. Publisher An entity responsible for making the resource available Accent Social and Welfare Society Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;cstart=20&amp;pagesize=80&amp;citation_for_view=ECTxVnYAAAAJ:4DMP91E08xMC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/f24158af5b309673f3c5c8f2b0678ff4.pdf 799722de37b74603d6cd0af14e0a1aec Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identifying factors associated with child malnutrition in Ghana: a cross-sectional study using Bayesian multilevel ordinal logistic regression approach Creator An entity primarily responsible for making the resource Wahab Abdul Iddrisu, Opoku Gyabaah Description An account of the resource Objective In developing countries, malnutrition is a noteworthy concern related to the well-being of people, and this study aimed to determine the factors that affect malnutrition among children below 5 years in Ghana. Design The study used a secondary data source, specifically the Ghanaian Multiple Indicator Cluster Survey Six (MICS 6), which was conducted by the Ghana Statistical Service in 2017–2018. The MICS data are hierarchical, as children are categorised within households, and households are further grouped within a higher cluster, violating the independence assumption that must be addressed in the analyses. This study used a Bayesian multilevel ordinal logistic regression to model, identify and analyse the factors linked to child malnutrition in Ghana. Setting The setting of the study was the household level across the previous 10 administrative regions in Ghana. Participants Data for 8875 children … Publisher An entity responsible for making the resource available British Medical Journal Publishing Group Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;citation_for_view=ECTxVnYAAAAJ:9yKSN-GCB0IC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/834a804f8d12d452edb4cdde2a35cb72.pdf 834e713f95581e95eb03a8a37f9ad003 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Understanding water quality dynamics in aquaculture ponds in Sunyani, Ghana: Insights from Partial Least Squares (PLS)-Path Modeling Creator An entity primarily responsible for making the resource Nicole EG Otoo, Peter O Sanful, Wahab A Iddrisu, Solomon Amfoh, Okyere K Boateng Description An account of the resource Oreochromis niloticus, and African catfish Clarias gariepinus, were selected for the study. Eleven fish ponds with stock ranging between 7-21 days were randomly selected and sampled at monthly intervals for five months, with the aim of capturing water quality patterns through a full production cycle. Seventeen parameters were measured and analyzed using Partial Least Squares (PLS)-Path Modeling. Most ponds had unusually shallow depths, characterized by excessive stocking densities of 200% on average above recommended rates. This necessitates high feeding rates, thereby reducing the assimilative capacity of ponds. The effect of feeding intensity on water quality increased with stock age. Persistent algal blooms, low DO, high temperatures and elevated levels of ammonia, nitrite, phosphate, TDS and conductivity were indicative of generally poor water quality. The model showed that 82% variability in water quality was due to production inputs. Standard stocking rates, feeding rates and construction of deeper ponds are recommended. Publisher An entity responsible for making the resource available Journal of Fisheries and Aquaculture Research Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;citation_for_view=ECTxVnYAAAAJ:QIV2ME_5wuYC Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling the Trend of Flows with Respect to Rainfall Variability Using Vector Autoregression Creator An entity primarily responsible for making the resource Iddrisu Wahab Abdul, Nokoe Kaku Sagary, Akoto Isaac Publisher An entity responsible for making the resource available International Journal of Advanced Research Date A point or period of time associated with an event in the lifecycle of the resource 2016 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;citation_for_view=ECTxVnYAAAAJ:L8Ckcad2t8MC Language A language of the resource English https://www.repository.gctu.edu.gh/files/original/bb619d0e2db6dd35a29b1305302e76b2.pdf 6b26dc20681e771cf9f98ed6d8fc8725 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text 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. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling Cholera Epidemiology Using Stochastic Differential Equations Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Inusah Iddrisu, Abdul-Karim Iddrisu Description An account of the resource 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 SI‐B stochastic differential equation for the … Publisher An entity responsible for making the resource available Hindawi Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&amp;hl=en&amp;user=ECTxVnYAAAAJ&amp;citation_for_view=ECTxVnYAAAAJ:kNdYIx-mwKoC Language A language of the resource English