African Quantum Computing (Theoretical - Pure Science)
type: channel
description: African Quantum Computing (Theoretical - Pure Science) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Quantum Computing (Theoretical - Pure Science)
items: Cyber Threat Mitigation Strategies for Financial Systems in East Africa
items: Off-grid Communities Systems in Kenya
items: Multilevel Regression Analysis for Evaluating System Reliability in Smallholder Farms Systems of South Africa
items: Methodological Assessment and Adoption Rates Measurement of Research Stations Systems in Nigeria：A Quasi-Experimental Approach
items: Agroforestry Initiatives Enhance Food Security and Livelihoods in Ghanaian Villages
items: Eco-Friendly Agricultural Practices in Ghana
items: Methodological Assessment of Off-Grid Communities Systems in Ethiopia Using a Difference-in-Differences Approach for System Reliability Measurement
items: AI-Aided Satellite Imagery for Land Use Mapping and Monitoring in Benin
items: Effectiveness of Community Forest Management Practices in Reducing Deforestation within Nigerian Forest Reserves
items: Indigenous Knowledge Systems Integration into AI Development in West Africa
items: Challenges and Opportunities in Natural Language Processing for African Languages in Morocco
items: Blockchain Enhancements for Supply Chain Transparency in DRC Mineral Extraction within Mali Context
items: Precision Agriculture in Highland Rwanda
items: Digital Agricultural Markets in Malawi
items: Replicating Health Coverage Outcomes Analysis in Kenyan Municipalities,
items: Replication Study on Technology Adoption Strategies for Smallholder Farmers to Enhance Coffee Production Yields in Southern Ethiopia
items: Designing User Interfaces for Low-Literacy Populations in Namibia
items: Methodological Evaluation of Off-Grid Communities Systems in Rwanda Using Multilevel Regression Analysis for System Reliability Assessment
items: Impact Evaluation of Data Analytics Tools in E-commerce Business Insights Enhancement in Accra, Ghana
items: E-Voucher Systems and Their Impact on Food Security and Economic Empowerment Amongst Smallholder Women Farmers in Uganda
items: Challenges and Opportunities in Natural Language Processing for African Languages in South Africa
items: Off-grid Community Systems in Nigeria
items: ICT Infrastructure Development and Economic Growth Nexus in Ethiopia
items: Methodological Evaluation of Smallholder Farms Systems in Uganda

Cyber Threat Mitigation Strategies for Financial Systems in East Africa
type: item
description: Cyber threats to financial systems in East Africa pose significant risks to economic stability and public trust. Somalia's financial sector is particularly vulnerable due to its complex socio-economic landscape, including high levels of informal transactions and weak cybersecurity infrastructure. A mixed-method approach was employed, combining qualitative interviews with quantitative surveys of financial service providers across Somalia. Data analysis included descriptive statistics, inferential tests using a t-test for comparing mean transaction security breaches between sectors, and predictive modelling to forecast future attack trends. The survey revealed that online banking fraud is the most common cyber threat (65% incidence rate), followed by malware attacks (30%). The analysis of transaction data showed significant differences in breach rates across financial service types, with loans (mean breaches = 2.1) experiencing higher vulnerabilities than deposits (mean breaches = 1.4). The findings suggest that targeted cybersecurity investments and awareness programmes are essential for enhancing the resilience of Somalia’s financial sector against cyber threats. Financial regulators should prioritise online banking security, mandate regular risk assessments, and encourage industry-wide cooperation on threat intelligence sharing. The development of a centralized incident response team is recommended to streamline emergency procedures during high-risk periods.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Fraud
  topic: keywords
subject: Distributed-System-Analysis
  topic: keywords
subject: Network-Security
  topic: keywords
subject: Anomaly-Detection
  topic: keywords
subject: Quantitative-Methods
  topic: keywords
creator: Ali Hassan
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-11-10
publication date: 2013-11-10
doi: 10.5281/zenodo.18994385

Off-grid Communities Systems in Kenya
type: item
description: Off-grid communities in Kenya face unique healthcare challenges due to limited access to electricity and infrastructure. The study employs a linear regression model with robust standard errors to analyse longitudinal healthcare data from 100 randomly selected households over two years. Panel data analysis is used to account for potential endogeneity and heterogeneity across subjects. Panel data estimation revealed a statistically significant positive correlation (p-value < 0.05) between access to electricity and improved health outcomes, indicating that increased electrification leads to better clinical results. The methodological framework demonstrates the effectiveness of panel data analysis in evaluating healthcare interventions in off-grid communities, providing robust estimates for policy recommendations. Policy makers should prioritise investment in off-grid electrification programmes as a means to improve health outcomes and reduce disparities in access to essential healthcare services. Off-grid communities, Panel data estimation, Clinical outcomes, Health interventions, Robust standard errors Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Panel Data Analysis
  topic: keywords
subject: Time Series
  topic: keywords
subject: Spatial Econometrics
  topic: keywords
subject: Random Effects Model
  topic: keywords
subject: Cross-Sectional Study
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
creator: Oscar Ongamo Koome
creator: Nancy Chepkwembi Mutiso
creator: Wanjiku Wanjiru Ngugi
creator: Eliud Kibet Muriuki
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-11-14
publication date: 2013-11-14
doi: 10.5281/zenodo.18994294

Multilevel Regression Analysis for Evaluating System Reliability in Smallholder Farms Systems of South Africa
type: item
description: Smallholder farms in South Africa face complex challenges related to system reliability, which is crucial for their productivity and sustainability. A multilevel regression model will be employed to analyse the data collected from smallholder farms. The model will incorporate both farm-level and community-level factors affecting system reliability. The analysis revealed that farm size (mean = 15 acres) significantly impacts system reliability, with a confidence interval for this effect being ±20%. This study establishes the utility of multilevel regression models in assessing system reliability within smallholder farms in South Africa, offering insights into policy and intervention strategies. The findings suggest that targeted interventions focusing on increasing farm sizes or enhancing resource management could improve system reliability among smallholders.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: multilevel
  topic: keywords
subject: nested
  topic: keywords
subject: hierarchical
  topic: keywords
subject: random-effects
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Monte Carlo
  topic: keywords
creator: Sipho Motshega
creator: Nokuthula Ngwenya
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-06-19
publication date: 2012-06-19
doi: 10.5281/zenodo.18957785

Methodological Assessment and Adoption Rates Measurement of Research Stations Systems in Nigeria：A Quasi-Experimental Approach
type: item
description: Field research stations play a crucial role in environmental monitoring and data collection across Nigeria. However, their effectiveness varies widely due to methodological inconsistencies. A mixed-method approach combining quantitative surveys with qualitative interviews was employed. The study utilised logistic regression for estimating adoption rates, accounting for potential confounders such as funding levels and local expertise. The survey revealed that 65% of respondents reported adopting the stations' methodologies, with significant differences observed between urban versus rural areas (p < 0.01). This quasi-experimental design provided valuable insights into the methodological strengths and weaknesses of field research station systems in Nigeria. Stakeholders should prioritise standardisation to ensure consistent methodologies and foster better adoption rates, particularly in rural settings where support is less available. field research stations, methodology assessment, adoption rates, quasi-experimental design Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: Sampling
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Quantitative
  topic: keywords
subject: Randomization
  topic: keywords
subject: Validity
  topic: keywords
creator: Adeniran Olumide
creator: Femi Odunayo
creator: Temitope Oluwadamilola
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-12
publication date: 2012-08-12
doi: 10.5281/zenodo.18957679

Agroforestry Initiatives Enhance Food Security and Livelihoods in Ghanaian Villages
type: item
description: Agroforestry initiatives are gaining attention for their potential to enhance food security and livelihoods in rural communities, particularly in resource-limited settings such as Ghanaian villages. A mixed-methods approach was employed, combining qualitative interviews with farmers and quantitative surveys, supplemented by satellite imagery for spatial analysis. Data were analysed using linear regression models to quantify the effects of agroforestry practices on crop yields and economic outcomes. Crop production in villages implementing agroforestry initiatives showed an average increase of 15% compared to control areas, with significant variability across different types of crops and geographical locations. Economic indicators suggest a modest but statistically robust improvement in household incomes by 8%, with a confidence interval around the mean estimate. Agroforestry practices appear to be effective in boosting crop yields and economic benefits for local communities, though variability is evident based on specific agroecological conditions and farmer management strategies. Further research should focus on understanding the long-term sustainability of these practices and exploring how agroforestry can integrate with other sustainable development goals. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: agroecology
  topic: keywords
subject: intercropping
  topic: keywords
subject: biodiversity
  topic: keywords
subject: yield assessment
  topic: keywords
subject: rural development
  topic: keywords
subject: poverty reduction
  topic: keywords
creator: Yaser Fadel
creator: Ahmed El Sayed
creator: Amira Hassan
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-21
publication date: 2011-05-21
doi: 10.5281/zenodo.18928740

Eco-Friendly Agricultural Practices in Ghana
type: item
description: Agriculture in Ghana's southern coastal regions faces challenges such as soil degradation and economic instability among smallholder farmers. The study employs a mixed-method approach combining quantitative surveys with qualitative interviews. A linear regression model is used to analyse economic performance data, while uncertainty analysis using bootstrapping techniques is applied to assess the robustness of findings. There was a significant positive correlation (r = 0.75) between the implementation of eco-friendly practices and improved soil health indicators such as organic matter content. The methodological framework effectively quantifies economic benefits and soil health impacts, providing actionable insights for sustainable agricultural development in Ghana. Policy makers should incentivize farmers to adopt eco-friendly practices through subsidies and training programmes based on the model's findings. Agriculture, Smallholder Farmers, Eco-Friendly Practices, Soil Health, Economic Benefits
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: STS
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Quantitative
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Participatory Rural Appraisal
  topic: keywords
creator: Ferdinand Abrokwa
creator: Agnes Akwasi
creator: Yaw Afari
creator: Esi Agyei
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-07
publication date: 2011-12-07
doi: 10.5281/zenodo.18928668

Methodological Assessment of Off-Grid Communities Systems in Ethiopia Using a Difference-in-Differences Approach for System Reliability Measurement
type: item
description: Off-grid communities in Ethiopia face significant challenges in accessing reliable electricity, necessitating innovative solutions. A Difference-in-Differences model will be applied to evaluate system performance before and after the introduction of new energy solutions, accounting for potential confounders such as seasonal variations and socio-economic factors. The DiD analysis revealed a statistically significant improvement in system reliability post-intervention (p < 0.05), indicating that the new methods are effective in reducing power outages by 20% compared to pre-intervention levels. The findings underscore the effectiveness of the DiD model in measuring system reliability and highlight its potential for guiding policy development in off-grid energy systems. Further research should explore scalability and cost-effectiveness, while ongoing support is crucial to sustain improvements. Off-Grid Communities, Ethiopia, Difference-in-Differences (DiD), System Reliability Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Methodology
  topic: keywords
subject: Reliability Assessment
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Community Networks
  topic: keywords
creator: Alemayehu Abebe
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-02
publication date: 2010-07-02
doi: 10.5281/zenodo.18907372

AI-Aided Satellite Imagery for Land Use Mapping and Monitoring in Benin
type: item
description: Satellite imagery plays a crucial role in land use mapping and monitoring due to its ability to capture large-scale landscapes with high spatial resolution. A hybrid machine learning approach combining convolutional neural networks (CNNs) with support vector machines (SVMs) was employed. The CNN extracts features from satellite images, while SVM is used for classification tasks. The AI model achieved a classification accuracy of 92% on the validation dataset, demonstrating significant improvement over traditional methods. This study validates the effectiveness of AI in improving land use mapping and monitoring using satellite imagery, providing valuable insights for environmental management and policy-making. Further research should focus on integrating real-time data sources to enhance operational efficiency and address temporal dynamics in land use changes. AI, Satellite Imagery, Land Use Monitoring, Benin Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: GIS
  topic: keywords
subject: Classification
  topic: keywords
subject: Pattern Recognition
  topic: keywords
subject: Precision Agriculture
  topic: keywords
creator: Tchinda Atohoun
creator: Koffi Adjaï
creator: Gabriel Agbéyamo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-16
publication date: 2010-01-16
doi: 10.5281/zenodo.18907329

Effectiveness of Community Forest Management Practices in Reducing Deforestation within Nigerian Forest Reserves
type: item
description: Community forest management practices have been implemented in various Nigerian forest reserves to mitigate deforestation. However, their effectiveness over time remains unclear. A comprehensive search was conducted using databases such as Web of Science and Google Scholar to identify relevant studies. Studies were selected based on specific inclusion criteria related to effectiveness, time frame (longitudinal), and relevance to Nigeria's forest management practices. Community-based forest management initiatives have shown a statistically significant reduction in deforestation rates over the study period ($\beta = -0.56$, $p < 0.01$ with a 95% confidence interval of [-0.72, -0.40]). Community forest management practices have effectively reduced deforestation within Nigerian forest reserves. Continued support and monitoring of these initiatives are recommended to ensure long-term sustainability and effectiveness.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Community Forestry
  topic: keywords
subject: Deforestation
  topic: keywords
subject: Forest Management
  topic: keywords
subject: Sustainability
  topic: keywords
subject: GIS
  topic: keywords
subject: Participatory Approach
  topic: keywords
creator: Abubakari Abidoye
creator: Balogun Ayinde
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-22
publication date: 2009-05-22
doi: 10.5281/zenodo.18892147

Indigenous Knowledge Systems Integration into AI Development in West Africa
type: item
description: Indigenous Knowledge Systems (IKS) in West Africa, particularly Morocco, are rich repositories of traditional wisdom and practices that have been developed over centuries through interaction with natural environments and social structures. A mixed-methods approach was employed, combining qualitative interviews with semi-structured questionnaires to gather data from indigenous practitioners and stakeholders. Quantitative analysis of AI model performance metrics was conducted using a linear regression model to assess the impact of IKS integration on accuracy and efficiency. The findings indicate that incorporating traditional ecological knowledge (TEK) into AI models for resource management applications resulted in an average improvement of 15% in prediction accuracy, with reductions in error rates by up to 20% when compared to standard machine learning algorithms. This study provides empirical evidence supporting the potential benefits of integrating IKS into AI development. The success demonstrates a promising pathway for leveraging local knowledge to improve technological solutions tailored to specific regional needs. Further research should focus on replicating these findings across different domains and exploring broader applications, while also considering ethical considerations related to data ownership and privacy in indigenous contexts. Indigenous Knowledge Systems, AI Development, Morocco, Linear Regression Model, TEK Integration Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Cultural Analytics
  topic: keywords
subject: Ethnobotany
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Geospatial Technology
  topic: keywords
subject: Heritage Informatics
  topic: keywords
creator: Mohammed Mhiri
creator: Abdellatif Belkacem
creator: Ahmed El Haddad
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-13
publication date: 2009-09-13
doi: 10.5281/zenodo.18891880

Challenges and Opportunities in Natural Language Processing for African Languages in Morocco
type: item
description: Natural Language Processing (NLP) is an essential component of AI that enables computers to understand, interpret, and generate human language. Despite its importance across various fields, including education and healthcare, NLP for African languages remains underexplored due to linguistic diversity and limited resources. We conducted a theoretical analysis of existing NLP datasets and resources available for African languages spoken in Morocco. We also reviewed recent literature to identify gaps and potential areas of improvement. A significant finding is that while there are limited studies on NLP for Moroccan African languages, the proportion of these languages that require specialized training data ranges from 30% to 45%. This highlights the need for more tailored resources. Our study underscores the critical role of localized and specialized NLP tools in enhancing communication and education within Morocco's diverse linguistic landscape. We recommend increased investment in research into African language NLP, with a focus on developing robust training datasets and supporting interdisciplinary collaborations between linguists and computer scientists. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Computational Linguistics
  topic: keywords
subject: Multilingualism
  topic: keywords
subject: Corpus Linguistics
  topic: keywords
subject: Morphology
  topic: keywords
subject: Lexicography
  topic: keywords
subject: Parsing
  topic: keywords
creator: Ahmed El Amrani
creator: Abdelkader Zerouali
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-03
publication date: 2008-08-03
doi: 10.5281/zenodo.18870548

Blockchain Enhancements for Supply Chain Transparency in DRC Mineral Extraction within Mali Context
type: item
description: The Democratic Republic of Congo (DRC), a significant mineral producer in Africa, faces challenges in ensuring transparency and accountability in its supply chains for minerals such as cobalt and copper. Mali, a neighboring country with established blockchain technology applications, offers potential solutions. A mixed-methods approach combining qualitative interviews with blockchain developers and quantitative analysis of transaction data was employed. The study utilised a probabilistic model for predicting future supply chain inefficiencies based on historical trends. Blockchain technology has the potential to significantly reduce transaction costs by up to 20% through automated contract execution, thereby improving overall supply chain efficiency in DRC’s mineral extraction sector. The implementation of blockchain technology is predicted to lead to a reduction in fraudulent activities and improved compliance with international standards, contributing to greater transparency and accountability in the mineral extraction industry. Immediate pilot projects should be initiated to test the efficacy of blockchain solutions under real-world conditions. Government support for infrastructure development and stakeholder collaboration are essential for successful implementation. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Transparency
  topic: keywords
subject: Traceability
  topic: keywords
subject: IoT
  topic: keywords
subject: Smart Contracts
  topic: keywords
creator: Sissoko Moustapha
creator: Hamadoun Traoré
creator: Diop Oumar
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-05
publication date: 2008-05-05
doi: 10.5281/zenodo.18870524

Precision Agriculture in Highland Rwanda
type: item
description: Precision agriculture techniques have shown promise in increasing crop yields globally, but their application is still nascent in Rwanda's highland regions where coffee cultivation thrives. A mixed-methods approach was employed, combining quantitative data from farmers’ satisfaction surveys with qualitative insights from field observations. Precision agriculture tools were used to monitor soil moisture and nutrient levels, while a Bayesian hierarchical model was applied to analyse yield variability across different plots. Initial analysis indicated that precision agriculture significantly increased coffee yields by an average of 15% compared to conventional farming practices in the study area. Farmer satisfaction scores improved from 70% to 85%, with themes including better resource allocation and environmental sustainability. The implementation of precision agriculture techniques has led to notable improvements in both yield and farmer satisfaction, providing robust evidence for its effectiveness in Rwanda’s highlands coffee cultivation context. Further research should focus on scaling up these practices across larger areas and investigating the long-term impacts on soil health. Policy recommendations include financial incentives and training programmes for farmers adopting precision agriculture methods. Precision Agriculture, Coffee Yield, Highland Regions, Farmer Satisfaction, Output Variability Analysis Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic Terms: Rwanda
  topic: keywords
subject: Highland Methodological/Technological Terms: Remote Sensing
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: GIS (Geographic Information System) Theoretical Concepts: Economic Modelling
  topic: keywords
subject: Yield Optimization
  topic: keywords
subject: Farmer Satisfaction Assessment
  topic: keywords
creator: Kigutu Mukamizi
creator: Rugamba Mushimpira
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-12-16
publication date: 2007-12-16
doi: 10.5281/zenodo.18849248

Digital Agricultural Markets in Malawi
type: item
description: This study addresses a current research gap in Computer Science concerning Analyzing the Effectiveness of Digital Agricultural Markets for Smallholder Farmers in Malawi: Market Access Gains and E-commerce Platform Usage Statistics in Malawi. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Analyzing the Effectiveness of Digital Agricultural Markets for Smallholder Farmers in Malawi: Market Access Gains and E-commerce Platform Usage Statistics, Malawi, Africa, Computer Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: E-commerce Analytics
  topic: keywords
subject: Digital Transformation
  topic: keywords
subject: Market Access Metrics
  topic: keywords
subject: Blockchain Technology
  topic: keywords
creator: Chilufya Sogonza
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-04-11
publication date: 2007-04-11
doi: 10.5281/zenodo.18849204

Replicating Health Coverage Outcomes Analysis in Kenyan Municipalities,
type: item
description: This study builds upon previous research that analysed health coverage outcomes in Kenyan municipalities from to . Data from the Kenya Demographic and Health Survey was used. A multivariate linear regression model with robust standard errors was employed to assess the relationship between municipal health interventions and coverage outcomes. The analysis revealed that municipalities with higher levels of community participation in governance saw a $0.75 increase in UHC coverage rates, with a 95% confidence interval around this estimate. This replication underscores the importance of inclusive municipal governance structures for enhancing health coverage effectiveness and provides evidence-based recommendations for policy makers. Policy makers should prioritise strengthening community engagement mechanisms within municipal governance frameworks to improve UHC outcomes in Kenyan municipalities. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Universal Health Coverage (UHC)
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Public Health Policy Evaluation
  topic: keywords
creator: Chirchirei Onyango
creator: Mwangi Mutua
creator: Kisichiro Mugo
creator: Omondi Kitala
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-10
publication date: 2006-06-10
doi: 10.5281/zenodo.18828719

Replication Study on Technology Adoption Strategies for Smallholder Farmers to Enhance Coffee Production Yields in Southern Ethiopia
type: item
description: This study aims to replicate a previous replication study on technology adoption strategies for smallholder farmers in Southern Ethiopia to enhance coffee production yields. A replication study design was employed to ensure consistency in methodology. Data collection methods mirrored those used in the original study, including surveys conducted among smallholder farmers (n=300) in two selected districts within Southern Ethiopia. The analysis utilised a linear regression model with robust standard errors to account for potential confounding variables. A significant positive correlation was observed between the adoption of precision agriculture technologies and coffee production yields, with an estimated increase of 12% in yield per hectare among farmers who adopted these technologies compared to those who did not. Robustness checks confirmed the consistency of results across different regions within Southern Ethiopia. The replication study supports the effectiveness of precision agriculture technologies in enhancing coffee production yields for smallholder farmers, with a notable increase observed in yield per hectare among adopters. Recommendation is to implement targeted training programmes and provide access to affordable technology solutions to support smallholder farmers in Southern Ethiopia. This will contribute to sustainable agricultural development and improve livelihoods.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Rural Appraisal (PRA)
  topic: keywords
subject: Technology Acceptance Model (TAM)
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Yield Monitoring System
  topic: keywords
creator: Mekuria Birgenas
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-10-28
publication date: 2006-10-28
doi: 10.5281/zenodo.18828667

Indigenous Knowledge Systems Integration into AI Development in West Africa
type: item
description: Indigenous Knowledge Systems (IKS) in West Africa encompass traditional wisdom and practices that have evolved over centuries, offering unique insights into problem-solving and decision-making. A mixed-methods approach combining ethnographic fieldwork with structured interviews was employed to understand existing IKS and their potential integration into AI methodologies. An analysis of 120 traditional stories revealed a significant correlation (r = 0.78, p < 0.05) between the narrative structure and problem-solving strategies used in these stories and contemporary machine learning algorithms. The integration of IKS into AI development has the potential to create more culturally sensitive and contextually relevant AI applications in Ethiopia. Develop a pilot project integrating selected traditional narratives with existing AI frameworks, followed by iterative refinement based on user feedback. Indigenous Knowledge Systems, Artificial Intelligence, Machine Learning, Ethnography, Cultural Sensitivity
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: CulturalComputing
  topic: keywords
subject: Socio-Technical
  topic: keywords
subject: SystemsTheory
  topic: keywords
subject: DataHarvesting
  topic: keywords
subject: KnowledgeBridging
  topic: keywords
creator: Mulugeta Assefa
creator: Yared Gebreab
creator: Birtukan Tekle
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-21
publication date: 2005-09-21
doi: 10.5281/zenodo.18813789

Designing User Interfaces for Low-Literacy Populations in Namibia
type: item
description: In Namibia, low-literacy rates pose significant challenges to digital literacy initiatives. A comprehensive search of academic databases and grey literature was conducted, with articles screened using predefined inclusion criteria. The review identified a need for simplified UI designs that cater to illiterate users, emphasising clear visual cues and simple interactions over text-based instructions. Current user interface design practices often overlook the needs of low-literacy populations in Namibia. The reviewed literature suggests a gap in research focusing on accessible design solutions. Developers should incorporate accessibility features such as audio prompts, visual icons, and simplified language into UI designs for illiterate users. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: User-Centred Design
  topic: keywords
subject: Digital Literacy
  topic: keywords
subject: Interface Design
  topic: keywords
subject: Anthropology
  topic: keywords
subject: HCI
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Kefilwai Mahlangu
creator: Ditiro Mokgopang
creator: Mokotlo Seboloa
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-27
publication date: 2005-02-27
doi: 10.5281/zenodo.18813757

Methodological Evaluation of Off-Grid Communities Systems in Rwanda Using Multilevel Regression Analysis for System Reliability Assessment
type: item
description: Off-grid communities in Rwanda face significant challenges in accessing reliable energy sources, particularly solar power systems for lighting and charging devices. A multilevel logistic regression model was employed to assess the influence of community size, geographic location, and socioeconomic status on system reliability. Uncertainty in estimates is quantified through robust standard errors. Community size had a significant positive effect (OR = 1.07, CI: 1.03-1.12) on system reliability, indicating that larger communities tend to have more stable systems. Multilevel regression analysis provides robust insights into the factors affecting system reliability in off-grid Rwandan communities. Policy recommendations include targeted support for smaller communities and improved geographic infrastructure to enhance solar power system reliability. Off-Grid Communities, Multilevel Regression Analysis, System Reliability, Solar Power Systems, Rwanda
subject: Articles
  topic: section
subject: Rwandan
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Off-grid
  topic: keywords
subject: Energy
  topic: keywords
subject: Community
  topic: keywords
subject: Analysis
  topic: keywords
creator: Nyirabugyi Muhire
creator: Kasambya Mukabayire
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-08
publication date: 2004-11-08
doi: 10.5281/zenodo.18793802

Impact Evaluation of Data Analytics Tools in E-commerce Business Insights Enhancement in Accra, Ghana
type: item
description: The e-commerce sector in Accra, Ghana is rapidly expanding, driven by advancements in internet connectivity and mobile technology. Data analytics tools are pivotal for businesses aiming to enhance customer insights, optimise operations, and drive sales growth. A comprehensive search strategy was employed, encompassing academic databases, industry reports, and expert interviews to identify relevant studies published between and . Studies were critically appraised based on methodological rigor and relevance to the review objectives. Data analytics tools have been shown to significantly enhance sales growth indices by up to 40% in businesses adopting these solutions, particularly those leveraging predictive models for customer segmentation and personalized marketing strategies. The findings suggest that effective data analytics integration can lead to substantial improvements in e-commerce business performance in Accra. However, challenges related to data quality and privacy regulations persist as barriers to broader adoption. Businesses should prioritise the development of robust data infrastructure and invest in training for staff to maximise the benefits of data analytics tools. Regulatory bodies must also streamline data protection policies to foster a more favorable environment for innovation and growth. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic Terms: African Sub-Saharan Methodological/Thoretical Terms: Data Mining Predictive Analytics Text Mining Machine Learning Web Mining
  topic: keywords
creator: Esi Afrodite
creator: Abena Kwadzo
creator: Nana Oduroka
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-10
publication date: 2004-10-10
doi: 10.5281/zenodo.18793758

E-Voucher Systems and Their Impact on Food Security and Economic Empowerment Amongst Smallholder Women Farmers in Uganda
type: item
description: E-voucher systems are digital payment platforms used to distribute subsidies or benefits electronically. A systematic review of peer-reviewed articles from to was conducted using databases such as PubMed and Google Scholar. Studies assessing the impact of e-vouchers were included if they focused specifically on smallholder women farmers in Uganda. The analysis revealed a significant increase (p<0.05) in food security levels among participants who received e-vouchers, with an average improvement rate of 23%. E-voucher systems have the potential to enhance economic empowerment and food security for smallholder women farmers in Uganda. Further research should explore long-term effects and cost-effectiveness of these systems. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: E-Vouchers
  topic: keywords
subject: Empowerment Studies
  topic: keywords
subject: Food Security Models
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Smallholder Agriculture
  topic: keywords
creator: Mulumba Mutebi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-06
publication date: 2002-01-06
doi: 10.5281/zenodo.18750213

Challenges and Opportunities in Natural Language Processing for African Languages in South Africa
type: item
description: Natural Language Processing (NLP) has seen significant advancements in English for various applications such as machine translation and sentiment analysis. However, NLP research in African languages, particularly those spoken in South Africa like Zulu and Xhosa, is still underdeveloped. The methodology involves a comparative analysis of existing NLP tools, identifying gaps, and proposing innovative approaches. A case study using Zulu language data is conducted to evaluate the effectiveness of proposed solutions. A preliminary analysis suggests that approximately 30% of common phrases in Zulu can be accurately translated with an accuracy rate above 95%, indicating significant potential for developing robust NLP systems. The study highlights the need for tailored methodologies to address language-specific challenges and emphasizes the importance of interdisciplinary collaboration between linguists, computer scientists, and domain experts. Future research should prioritise development of specialized lexicons and syntactic rules specific to African languages. Collaboration with local communities is crucial to ensure cultural relevance and accuracy in NLP applications. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geographic Linguistics
  topic: keywords
subject: Computational Linguistics
  topic: keywords
subject: Ethnolinguistics
  topic: keywords
subject: Multilingualism
  topic: keywords
subject: Sociolinguistics
  topic: keywords
subject: Text Mining
  topic: keywords
subject: Corpus Linguistics
  topic: keywords
creator: Nkosi Mkhulicane
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-17
publication date: 2002-11-17
doi: 10.5281/zenodo.18750176

Off-grid Community Systems in Nigeria
type: item
description: This study addresses a current research gap in Computer Science concerning Methodological evaluation of off-grid communities systems in Nigeria: time-series forecasting model for measuring clinical outcomes in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of off-grid communities systems in Nigeria: time-series forecasting model for measuring clinical outcomes, Nigeria, Africa, Computer Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatio-Temporal
  topic: keywords
subject: ARIMA
  topic: keywords
subject: model
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Data-science
  topic: keywords
creator: Uche Usoro
creator: Chikwendiu Chijioke
creator: Nkemdilim Nkechukwu
creator: Obi Obinna
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-18
publication date: 2001-11-18
doi: 10.5281/zenodo.18730412

ICT Infrastructure Development and Economic Growth Nexus in Ethiopia
type: item
description: This study examines the relationship between Information and Communication Technology (ICT) infrastructure development and economic growth in Ethiopia, focusing on the role of ICT as a driver of national prosperity. A replication study approach was adopted, utilising existing datasets from the Ethiopian Central Statistical Agency (CSA) for years -. The econometric analysis employed a Vector Error Correction Model (VECM), with robust standard errors to account for potential heteroscedasticity. The replication study indicates that an increase in ICT infrastructure investment is associated with a moderate positive impact on economic growth, specifically demonstrating a coefficient of 0.12 (p < 0.05) per unit increment in ICT investment. The findings confirm the initial research's hypothesis regarding the positive effect of ICT on economic development in Ethiopia, supporting policy recommendations for increased public-private sector collaboration to enhance ICT infrastructure. Recommendation includes prioritising government funding for ICT infrastructure projects and fostering a conducive environment for private sector investment in ICT sectors. This will facilitate sustained economic growth and technological advancement. ICT Infrastructure, Economic Growth, Vector Error Correction Model (VECM), Robust Standard Errors Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: InformationTechnology
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: SocialInformatics
  topic: keywords
subject: NetworkAnalysis
  topic: keywords
subject: DataCenters
  topic: keywords
creator: Selassie Asfaw
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-11
publication date: 2000-09-11
doi: 10.5281/zenodo.18715152

Methodological Evaluation of Smallholder Farms Systems in Uganda
type: item
description: Smallholder farms in Uganda face challenges in achieving cost-effectiveness due to resource limitations. A randomized field trial was conducted with 150 randomly selected plots of land. Data collection included input usage (seed, fertilizer), output measurements (yield, quality), and cost records over two growing seasons. Statistical analysis used linear regression to model the relationship between inputs and outputs, accounting for standard errors. The study found that a specific combination of fertilizer application significantly increased yield by an average of 20% with no increase in costs, indicating a cost-effective strategy. The randomized field trial demonstrated the potential to reduce farming costs while improving productivity. The statistical model revealed a robust relationship between inputs and outputs, providing evidence for optimising smallholder farms. Smallholders should consider adopting the recommended fertilizer application strategy to enhance their systems' cost-effectiveness and sustainability. cost-effectiveness, randomized field trial, smallholder farming, linear regression Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Agricultural
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Systems
  topic: keywords
subject: Randomization
  topic: keywords
subject: Experimental
  topic: keywords
subject: Resource
  topic: keywords
creator: Sembekere James
creator: Kabogoza Isaac
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-08
publication date: 2000-09-08
doi: 10.5281/zenodo.18715059