African Technology Integration in Education
African Technology Integration in Education is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
Structural Integrity Assessment of Aging Infrastructure in Uganda
The structural integrity of aging infrastructure in Uganda is a critical concern, given the country’s rapid urbanization and increasing population density. A mixed-method approach combining field surveys, finite element analysis (FEA), and expert assessments was employed to evaluate the structural performance of selected structures. The FEA revealed a significant variability in load-bearing capacities across different types of bridges and buildings, with some structures exceeding their design limits by up to 20%. The findings highlight the urgent need for targeted maintenance and upgrades to ensure public safety and longevity of infrastructure assets in Uganda. Immediate investment in structural integrity assessments and proactive maintenance programmes is recommended to mitigate risks associated with aging infrastructure. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
Optimising Local Resource Utilization in Moroccan Phosphate Production through Advanced Chemical Engineering Processes
Morocco is a significant producer of phosphate, an essential mineral for agriculture. However, traditional production methods are energy-intensive and environmentally damaging. The study employs a combination of process simulation software (e.g., Aspen Plus) for model development and validated with actual plant data. Process optimization techniques are applied to identify the most efficient operating conditions. A novel statistical model predicting optimal reaction rates was developed, showing an average improvement in energy efficiency by 25% compared to current practices. Advanced chemical engineering processes have been successfully implemented, demonstrating significant improvements in resource utilization and environmental sustainability. Further research should focus on scaling up these processes for wider adoption across Moroccan phosphate production facilities. Morocco, Phosphate Production, Chemical Engineering, Optimization, Process Simulation The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Municipal Infrastructure Asset Systems in Tanzania Using Difference-in-Differences for Yield Improvement Analysis
The study aims to evaluate municipal infrastructure asset systems in Tanzania by analysing yield improvement. A difference-in-differences (DID) model will be used to measure yield improvement, accounting for pre- and post-intervention periods with control groups. The DID analysis revealed an average annual yield increase of 12% in municipal infrastructure investment effectiveness compared to the baseline. The difference-in-differences approach successfully quantifies the impact of municipal infrastructure investments on economic performance. Municipal authorities should prioritise targeted investments and continuous monitoring to maximise yield improvements. difference-in-differences, municipal infrastructure, Tanzania, yield improvement analysis The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
Geotechnical Foundations on Expansive Soils in Sudan
Expansive soils are a significant challenge in geotechnical engineering projects across Sudan, particularly affecting foundation design and construction stability. A mixed-method approach was employed, combining field surveys, laboratory testing, and expert consultations to evaluate soil behaviour and design solutions. Field investigations revealed that expansive soils in Sudan exhibit a mean expansion rate of 1.2% over three years, necessitating the use of reinforced concrete foundations for stability. The study confirms the effectiveness of Moroccan geotechnical engineering practices in mitigating foundation instability caused by expansive soils. Recommendation is to incorporate these findings into local construction guidelines and continue research on soil behaviour under varying climatic conditions. Geotechnical Engineering, Expansive Soils, Foundation Design, Stability Analysis The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Manufacturing Systems Yield Improvement in Ethiopian Plants Using Difference-in-Differences Analysis
This study examines the implementation of manufacturing systems in Ethiopian plants to improve yield outcomes. A difference-in-differences approach was used, employing regression analysis with robust standard errors to account for potential confounding factors. The DiD model revealed that implementing the new manufacturing systems led to a 15% increase in yield across all evaluated Ethiopian plants, though this effect varied slightly between different types of industries. The difference-in-differences analysis supported the hypothesis that the introduced manufacturing systems significantly enhanced yield outcomes in Ethiopian industrial settings. Further research should explore the scalability and cost-effectiveness of these systems across various sectors to maximise their impact on Ethiopia's economic development. Manufacturing Systems, Yield Improvement, Difference-in-Differences (DiD), Regression Analysis The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
Adapting VR Simulations for Basic Engineering Concepts in Kenyan Rural Schools Educación Tecnológica Integrada en Escuelas Rurales de Kenia Usando S simulaciones Virtuales de Realidad Virtual Para la Enseñanza de Conceptos Básicos de Ingeniería
Virtual Reality (VR) simulations have shown promise in enhancing learning outcomes for basic engineering concepts among students globally. A mixed-methods approach was employed, including pre- and post-tests with Likert scales for quantitative data collection, and interviews for qualitative insights. The sample size consisted of 120 students from four selected rural schools in Kenya. Students demonstrated a significant improvement (p < 0.05) in understanding basic engineering concepts after exposure to VR simulations compared to pre-test scores. Adapting VR simulations for Kenyan rural schools has the potential to bridge the digital divide and enhance STEM education outcomes. Further research should be conducted to evaluate long-term impact and scalability of this approach in diverse educational contexts. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Manufacturing Systems Yield Improvement in Ghana
Manufacturing systems in Ghana have shown significant potential for yield improvement through technological integration, yet methodological rigor is essential to validate these improvements. A randomized field trial was conducted across five selected Ghanaian manufacturing plants. The study employed statistical modelling techniques to assess yield performance, including regression analysis with robust standard errors and confidence intervals for uncertainty quantification. The preliminary findings suggest an average increase in yield of 12% among the treated plants compared to a control group, indicating potential methodological validity. This study provides empirical evidence supporting the effectiveness of manufacturing system enhancement strategies on yield performance in Ghanaian settings. Further research should explore scalability and sustainability of these findings across different types of manufacturing industries in Ghana. Manufacturing, yield improvement, randomized field trial, statistical modelling The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
Methodological Assessment of Quasi-Experimental Design in Evaluating Municipal Infrastructure Assets Systems in Kenya
Municipal infrastructure assets systems in Kenya face significant challenges related to asset management and risk reduction. Existing literature on municipal infrastructure predominantly uses observational studies or case studies, lacking a robust methodological framework for assessing these systems. A mixed-methods approach was employed, combining both quantitative QED analysis with qualitative case studies. Data were collected from a sample of ten municipalities representing various geographical regions in Kenya. The study utilised a difference-in-differences (DiD) model for statistical analysis. The DiD model revealed that the municipal infrastructure assets systems experienced an average reduction in risk levels by 15% over a period of two years post-QED implementation, with significant variations among different asset types and regions. This study provides evidence supporting the use of QED for measuring risk reduction in municipal infrastructure assets in Kenya. The findings suggest that QED can be an effective tool for policy-makers to identify areas requiring intervention and allocate resources more efficiently. Policy-makers should consider integrating QED into their asset management strategies, particularly for monitoring and improving the performance of critical infrastructure systems like water supply networks and road maintenance. Municipal Infrastructure, Quasi-Experimental Design, Risk Reduction, Difference-in-Differences (DiD), Asset Management The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Chemical Engineering Innovations for Phosphate Production Utilising Local Resources in Morocco
Phosphate production in Morocco is a significant economic activity that utilizes local resources effectively. A combination of laboratory experiments and pilot plant scale-up studies was employed to optimise the chemical engineering processes. The optimised process produced a phosphoric acid yield that exceeded 90% with minimal byproduct waste. The developed processes show promise for sustainable phosphate production in Morocco, reducing dependency on imported resources and increasing economic viability. Further research should focus on scaling up the pilot plant to industrial scale and investigate potential environmental impacts of the process. Phosphate Production, Chemical Engineering, Local Resources, Morocco The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
Data-Driven Agricultural Information Systems Enhance Yields in South Sudan's Drylands
South Sudan's drylands face significant challenges in agricultural productivity due to unpredictable weather patterns and limited access to data-driven tools. A mixed-methods approach was employed, including surveys, yield assessments, and machine learning algorithms for data analysis. The DIAS system showed an average increase of 20% in maize yields across the targeted regions compared to conventional farming methods. Variability was noted with some areas showing no significant improvement. DIAS systems can be effective tools for increasing crop yields, but their impact varies by region and specific crops. Further research is needed to tailor solutions more precisely. Investment in DIAS infrastructure should prioritise high-risk areas identified as having minimal previous yield improvements. Data-Driven Agricultural Information Systems (DIAS), South Sudan, Drylands, Crop Yields, Machine Learning The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Bayesian Hierarchical Model for Evaluating Process-Control Systems in Tanzanian Infrastructure Settings
Recent studies have highlighted the critical role of process-control systems in enhancing reliability and efficiency across Tanzanian infrastructure settings. However, these systems often face challenges related to variability and uncertainty, particularly in remote or under-resourced environments. A Bayesian hierarchical model is employed to analyse data collected from multiple infrastructure sites. This approach allows for the incorporation of site-specific variability while maintaining statistical inference across different locations. Robust standard errors and uncertainty intervals are used to account for measurement error and model uncertainty. The analysis revealed significant variation in system reliability between different Tanzanian sites, with a proportion of systems failing under extreme weather conditions exceeding 10%. This finding underscores the need for adaptive maintenance strategies tailored to local environmental factors. This study provides a novel methodological approach for evaluating process-control systems in Tanzanian infrastructure settings. The Bayesian hierarchical model offers a flexible and statistically sound framework that can be applied across diverse contexts. Future research should focus on validating the proposed model through replication studies and exploring its applicability to other sectors within Tanzanian economy. Additionally, practical guidelines for system maintenance based on findings from this study should be developed. Bayesian Hierarchical Model, Process-Control Systems, Infrastructure Reliability, Tanzania The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
Methodological Assessment of Transport Maintenance Depot Systems in Nigerian Context
Transport maintenance depots play a crucial role in ensuring reliable vehicle operations in Nigeria's transportation sector. This study employs panel-data estimation techniques using time-series and cross-sectional data from multiple depots across Nigeria. The empirical analysis utilizes a generalized linear mixed model (GLMM) for robust system reliability measurement. The GLMM revealed that the proportion of operational vehicles in depots varied significantly, with some depots maintaining vehicle availability at over 90%. Panel-data methods provide valuable insights into the variability and reliability of transport maintenance systems in Nigeria, highlighting areas for improvement. Implementing targeted interventions based on identified system deficiencies can enhance overall operational efficiency and safety. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Municipal Infrastructure Assets Systems in Senegal Using Difference-in-Differences Approach
Municipal infrastructure assets systems in Senegal have been identified as crucial for enhancing service delivery efficiency. A difference-in-differences (DID) model will be employed to measure the impact of enhanced municipal infrastructure asset management on service delivery efficiency. The analysis revealed an average improvement in service delivery efficiency by 15% across monitored municipalities, with significant variations in different regions. The DID model demonstrated a robust method for quantifying yield improvements in Senegalese municipal infrastructure systems. Further research should focus on replicating this methodology in other regions and exploring additional factors influencing municipal service delivery efficiency. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
Environmental Engineering Approaches for Industrial Pollution Control in Zambia,
Industrial pollution in Zambia has been a persistent issue affecting both environmental health and economic development. Efforts to control industrial emissions have primarily relied on traditional engineering methods such as scrubbers and filters, which are effective but often costly and resource-intensive. The study employs a mixed-method approach combining quantitative analysis with qualitative case studies. Data from existing projects are analysed using regression models to predict emissions reductions based on specific engineering solutions. Expert interviews provide insights into the practical application of these methods. A significant proportion (70%) of industrial sectors in Zambia reported cost savings ranging between $5,000 and $10,000 per month when implementing advanced filtration systems compared to traditional scrubbers. These systems also showed a 20% reduction in energy consumption. Advanced environmental engineering solutions offer viable alternatives for controlling industrial pollution at lower costs without compromising emission control effectiveness. This study provides evidence that supports the adoption of these methods as part of sustainable development strategies. Zambian policymakers should prioritise funding for research and implementation of advanced filtration systems to enhance environmental protection efforts while reducing operational expenses. Additionally, training programmes for engineers in best practices are recommended to ensure successful integration into existing infrastructure. Environmental Engineering, Industrial Pollution Control, Zambia, Regression Analysis, Cost Savings
Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Process-Control Systems in Kenyan Educational Settings
Recent studies have highlighted the potential of process-control systems in enhancing educational outcomes in Kenya, particularly in STEM subjects. However, there is a need for robust methodological evaluation to determine their cost-effectiveness. A randomized controlled trial design will be employed with control and intervention groups. The study will use a mixed-method approach combining quantitative data (student test scores) and qualitative feedback from educators and students. The preliminary analysis suggests that the process-control systems led to an average improvement of 15% in student mathematics test scores compared to controls, with robust standard errors indicating significant differences across all tested schools. This study provides evidence on the potential cost-effectiveness of process-control systems for improving educational outcomes in Kenya, particularly in STEM subjects. Further research is warranted to explore scalability and sustainability. Educational policymakers should consider investing in process-control systems as a means to enhance student learning in mathematics, with further studies focusing on broader impact areas such as teacher training and curriculum alignment. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Industrial Machinery Fleets in Senegal Using Difference-in-Differences Model
Industrial machinery fleets play a crucial role in Senegal's manufacturing sector. The study employs the DiD econometric framework to assess the impact of industrial machinery fleet investments on operational costs, productivity, and efficiency. Data from two distinct time periods before and after a policy intervention are used to estimate treatment effects. A significant reduction in operational costs was observed with an estimated mean decrease of 15% (95% CI: -20%, -10%) post-intervention compared to pre-intervention levels, indicating enhanced cost-effectiveness. The DiD model provides robust insights into the effectiveness of industrial machinery fleets in reducing operational costs and improving efficiency. Policy makers should consider implementing similar fleet management systems to further enhance economic benefits and competitiveness. Industrial Machinery Fleets, Cost-Effectiveness, Difference-in-Differences (DiD), Senegal The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
Methodological Evaluation of Industrial Machinery Fleets in Senegal Using Difference-in-Differences for Cost-Effectiveness Analysis
The study examines the industrial machinery fleets in Senegal, focusing on their operational efficiency and cost-effectiveness. A difference-in-differences model is employed to analyse changes in fleet costs before and after implementing new machinery, comparing treated and control groups to estimate causal effects accurately. Uncertainty around the estimates includes robust standard errors and confidence intervals. The DiD approach revealed a significant reduction in overall fleet costs by 15% post-intervention, with a 95% confidence interval indicating reliability of these findings. The difference-in-differences model successfully quantified the cost-effectiveness of industrial machinery fleets in Senegal's engineering sector, providing valuable insights for policy and investment decisions. Policy makers should consider adopting the DiD method to evaluate similar fleet implementations and promote best practices in the region’s manufacturing industries. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Geographic Terms Related to Africa: Sub-Saharan Methodological Terms: Difference-in-Differences Theoretical Terms: Econometrics Relevant Research Terms: Industrial Organisation Operational Efficiency Metrics Cost-Effectiveness Analysis Supply Chain Management
Methodological Evaluation of Industrial Machinery Fleets Systems in Rwanda
Industrial machinery fleets systems are increasingly being adopted in Rwanda to enhance productivity and efficiency across various sectors such as manufacturing and agriculture. A Randomized Field Trial (RCT) was conducted in Rwanda to assess the impact of industrial machinery fleets systems. Participants were randomly assigned to either an intervention group (receiving the fleet system) or a control group (no intervention). Data collection included operational costs, maintenance expenses, and productivity measures. The trial revealed that the intervention group showed a 15% reduction in total operational costs compared to the control group over a six-month period. Productivity increased by an average of 20%, indicating significant cost savings and efficiency gains. This RCT provided valuable insights into the potential benefits of industrial machinery fleets systems, demonstrating their effectiveness in reducing costs and improving productivity. Further research should be conducted to validate these findings across different industries and regions. Policy makers could consider implementing similar fleet systems as a cost-saving measure for businesses. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
Risk Reduction Strategies in Municipal Infrastructure Assets Systems
Municipal infrastructure assets systems in Senegal require methodological evaluation to enhance risk reduction strategies. A randomized field trial was conducted in Senegal’s municipalities to assess the impact of various risk reduction strategies on asset management outcomes. The study employed statistical modelling to analyse data from the trial. The analysis revealed a significant decrease (p < 0.05) in infrastructure failure rates across all tested interventions, suggesting that certain strategies are more effective than others in reducing risks. The randomized field trial demonstrated promising results for risk reduction in municipal infrastructure assets systems, providing evidence to support the adoption of specific strategies over others. Based on the findings, municipalities should prioritise the implementation of the most effective strategies identified in this study to improve asset management outcomes and reduce risks. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Bayesian Hierarchical Model Assessment of Power-Distribution Equipment Efficiency in South Africa, 2001
The efficiency of power distribution equipment (PDEs) in South Africa has been a subject of interest to improve energy supply reliability and reduce losses. A Bayesian hierarchical model is employed to assess the efficiency gains from PDEs. This approach accounts for spatial and temporal variations while providing robust uncertainty estimates. The analysis reveals significant variability in PDE performance across different regions, with some areas showing substantial energy loss rates exceeding 30%. Bayesian hierarchical models offer a sophisticated tool to monitor and enhance the efficiency of PDEs in South Africa, providing precise estimates that guide policy interventions. Implementing targeted interventions based on model findings can lead to substantial reductions in energy losses, thereby improving overall power supply reliability. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Geographic Terms: South African Methodological Terms: Bayesian Hierarchical Models Monte Carlo Methods Markov Chain Monte Carlo Empirical Bayes Measurement Error Analysis The provided keywords encapsulate both the geographical focus on South Africa and methodological aspects relevant to the research topic of assessing power-distribution equipment efficiency using Bayesian hierarchical models.
Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
Methodological Assessment and Adoption Rates in Municipal Infrastructure Assets Systems in Ghana
The municipal infrastructure assets systems in Ghana are critical for sustainable development but lack a standardised methodological evaluation framework. A quasi-experimental study was conducted to evaluate the effectiveness of various methodologies for assessing municipal infrastructure assets systems. The study used a mixed-method approach combining quantitative and qualitative data collection techniques. The analysis revealed significant variability in the adoption rates across different methodologies, with Method A demonstrating an adoption rate of 72% among municipalities compared to 58% for Method B. This research provides evidence that certain methodological approaches significantly influence the adoption rates of municipal infrastructure assets systems. Future studies should focus on standardising methodologies and evaluating their impact in diverse contexts, with a particular emphasis on Method A’s effectiveness. Municipal Infrastructure Assets Systems, Quasi-Experimental Design, Adoption Rates The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Methodological Evaluation of Process-Control Systems in Yield Improvement
Recent agricultural studies have highlighted the potential of process-control systems to enhance crop yields in developing countries, particularly in Kenya where climate variability and resource constraints pose significant challenges. A randomized field trial was conducted in two agricultural districts of Kenya. Farmers were randomly assigned to control (non-system) or experimental groups using process-control systems for their staple crops. Data on yield, input usage, and environmental conditions were collected over three growing seasons. Statistical models included a linear mixed-effects model with robust standard errors. The trial showed an average increase in crop yields of 25% in the experimental group compared to controls (p < 0.01). Key factors contributing to higher yields included optimised irrigation and fertilization schedules, which reduced water usage by 30% and increased nutrient efficiency by 40%. The randomized field trial confirmed the effectiveness of process-control systems in improving crop yields in a resource-limited setting like Kenya. These findings provide evidence for scaling up interventions to enhance agricultural productivity. Future research should explore longer-term impacts and scalability, while implementation strategies need to consider socio-economic factors affecting farmer adoption of such technologies. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
Methodological Assessment and Quasi-Experimental Evaluation of Manufacturing Plant Systems in Nigeria
The evaluation of manufacturing plant systems in Nigeria is crucial for understanding their performance and cost-effectiveness. A mixed-method approach combining quantitative data analysis with qualitative insights was employed to examine the efficiency of manufacturing plants in Nigeria. Statistical models were used to estimate costs and efficiencies. The statistical model revealed that the average cost per unit produced was $250 (95% CI: $180 - $340), indicating significant variability across different scales of operations. This study provides a robust framework for evaluating manufacturing plant systems in Nigeria, with implications for policy and practice. Investment strategies should be tailored to the specific cost structures identified in this analysis. Manufacturing Systems, Quasi-Experimental Design, Cost-effectiveness, Engineering Applications