African Digital Libraries Quarterly (LIS focus)
type: channel
description: African Digital Libraries Quarterly (LIS focus) 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 Digital Libraries Quarterly (LIS focus)
items: Machine Learning Models in Climate Prediction and Adaptation Planning for Cape Verde
items: Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Difference-in-Differences for Clinical Outcome Measurement
items: Community Engagement Strategies and Digital Inclusion Among Youth in Kinshasa
items: Mobile Payment Technologies and Financial Stability for Low-Income Households in South Africa
items: E-Waste Governance at Informal Fairs in Ghana
items: E-Learning Platforms and Language Proficiency in Ethiopian Primary Schools
items: Blockchain Technology in Supply Chain Transparency within Mineral Extraction in DRC and Burundi
items: Eco-Friendly Packaging Innovations for Smallholder Farmers in Western Uganda
items: Big Data Analytics in Urban Planning and Service Delivery in Cairo
items: Methodological Assessment of Manufacturing Systems in Ghana
items: ICT Accessibility and Employment in Ethiopian Informal Markets
items: Developing EdTech Solutions for Rural Remote Learning in Ethiopia, 2005 Context
items: Designing User Interfaces for Literate Barriers in African Low-Literacy Populations
items: Blockchain Technology in Enhancing Supply Chain Transparency within Mineral Extraction in DRC
items: Solar Microgrids in Senegalese Off-Grid Villages
items: Methodological Evaluation of Smallholder Farms Systems in Uganda using Bayesian Hierarchical Models for Cost-Effectiveness Assessment
items: Mobile Tech in Farming
items: Virtual Reality in Mental Health Therapy
items: Virtual Reality Integration in Nigerian Mental Health Therapy Sessions
items: AI in Diagnosing Diseases
items: Strategies for Bridging Digital Inclusion in Rural South Africa,
items: Patterns of Mobile Banking Application Usage Among Ethiopian Migrant Workers in Coastal Cities
items: The Application of 5G Infrastructure in Digital Transformation across African Cities

Machine Learning Models in Climate Prediction and Adaptation Planning for Cape Verde
type: item
description: Cape Verde is a small island nation in the Atlantic Ocean that faces significant climate-related challenges such as sea-level rise and increased frequency of extreme weather events. A hybrid ensemble model combining Random Forest and Gradient Boosting Machines (GBM) was developed using historical climate data from Cape Verde. Model performance was validated through cross-validation techniques. The ensemble model achieved a root mean square error (RMSE) of 2.5°C for temperature predictions, indicating moderate accuracy in capturing climate variability over the study period. This research demonstrates the potential of machine learning models to improve climate prediction and support adaptive planning in Cape Verde. Further studies should explore model scalability and robustness across different climate scenarios and geographic regions. Machine Learning, Climate Prediction, Adaptation Planning, Cape Verde 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: Geographical Information Systems
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Climate Change Modelling
  topic: keywords
subject: Ensemble Methods
  topic: keywords
subject: Predictive Analytics
  topic: keywords
subject: Spatial Data Analysis
  topic: keywords
creator: Manuel Monteiro
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-10-09
publication date: 2011-10-09
title: Machine Learning Models in Climate Prediction and Adaptation Planning within Niger
description: Machine learning models have shown promise in enhancing climate prediction accuracy, which is crucial for effective adaptation planning. A systematic search strategy was employed to identify relevant literature from peer-reviewed journals, conference proceedings, and grey literature. Inclusion criteria were defined based on the relevance of studies to climate prediction and adaptation planning using machine learning models in Niger. Machine learning models demonstrated significant improvements in temperature forecasting with an accuracy rate of over 85% compared to traditional methods. The review underscores the robustness of machine learning for climate predictions, highlighting its potential in supporting sustainable development strategies in Niger. Further research should focus on integrating multiple data sources and enhancing model interpretability for better decision-making processes. 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: Geospatial Analysis
  topic: keywords
subject: Ensemble Methods
  topic: keywords
subject: Regression Models
  topic: keywords
subject: Neural Networks
  topic: keywords
subject: Spatial Statistics
  topic: keywords
creator: Taharou Konaté
creator: Marcelin Houngbo
creator: Aliko Harouna
creator: Mamoudou San
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-22
publication date: 2006-06-22
doi: 10.5281/zenodo.18831240

Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Difference-in-Differences for Clinical Outcome Measurement
type: item
description: The digital divide persists in off-grid communities across Africa, where access to reliable electricity is limited, impacting healthcare outcomes. We employed a DiD approach to assess changes in health indicators before and after the implementation of off-grid energy solutions, comparing pre-intervention with post-intervention periods within treatment and control groups. An analysis revealed an increase in vaccination coverage by 25% among children under five years old in treated communities compared to controls, indicating a significant positive impact on health metrics. The DiD model demonstrated the potential of off-grid systems to improve healthcare delivery in resource-limited settings. Further research should explore long-term impacts and scalability of these interventions. Off-Grid Systems, Difference-in-Differences, Clinical Outcomes, Digital Divide, Ethiopia 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: off-grid systems
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometric methods
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: resource-limited settings
  topic: keywords
creator: Mulu Gebru
creator: Fasil Mesfin
creator: Yared Abebe
creator: Amanuel Assefa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-07
publication date: 2011-06-07

Community Engagement Strategies and Digital Inclusion Among Youth in Kinshasa
type: item
description: Digital inclusion among youth in Kinshasa's digital libraries faces challenges due to limited access to technology and insufficient community engagement strategies. A comprehensive systematic literature review was conducted using electronic databases such as PubMed, Scopus, and Web of Science to identify relevant studies published between and . Studies were included based on predefined inclusion criteria related to community engagement strategies for digital inclusion among youth in Kinshasa. Community engagement interventions showed a significant positive effect (p < 0.05) with an average increase of 47% in digital literacy skills among participants, indicating the need for tailored and sustained efforts. The review highlights the importance of community involvement and targeted support programmes to improve digital inclusion among youth in Kinshasa’s digital libraries. Developing culturally sensitive strategies and integrating technology into existing educational curricula are recommended to enhance digital literacy among youth. 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: Digital divide
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory action research
  topic: keywords
subject: Community development models
  topic: keywords
subject: Geospatial technologies
  topic: keywords
subject: Youth empowerment initiatives
  topic: keywords
subject: Socio-technical systems
  topic: keywords
creator: Abdellatif Bouabid
creator: Moussa Benlouafi
creator: Ahmed El-Kadi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-01
publication date: 2010-05-01
doi: 10.5281/zenodo.18910399

Mobile Payment Technologies and Financial Stability for Low-Income Households in South Africa
type: item
description: Mobile payment technologies have emerged as a viable means of financial inclusion for low-income households in South Africa, particularly those with limited access to traditional banking services. A comprehensive search strategy was employed across various databases, including PubMed, Google Scholar, and JSTOR, to identify relevant studies published between and . Studies were included if they reported empirical data on mobile payment technologies' impact on financial stability for low-income households in South Africa. Mobile payments are widely used among low-income households, with a significant proportion (46%) of surveyed individuals using these services to manage their finances and access credit opportunities. However, there is also evidence suggesting that the adoption rate varies by socioeconomic status and geographic region. The findings highlight the potential for mobile payment technologies to enhance financial stability and improve access to credit for low-income households in South Africa, although challenges related to digital literacy and infrastructure remain significant barriers. Policy makers should consider implementing targeted education programmes to increase digital literacy among low-income populations and invest in improving mobile network coverage to facilitate widespread adoption of these services. 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: Epidemiology
  topic: keywords
subject: Financial Inclusion
  topic: keywords
subject: Mobile Money
  topic: keywords
subject: Payment Systems
  topic: keywords
subject: Risk Assessment
  topic: keywords
subject: Socioeconomic Factors
  topic: keywords
creator: Kgosiwe Nkosi
creator: Sipho Mngomezulu
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-10
publication date: 2010-09-10
doi: 10.5281/zenodo.18910330

E-Waste Governance at Informal Fairs in Ghana
type: item
description: Informal fairs in Ghana serve as informal waste markets where electronic waste (e-waste) is frequently traded. Despite government efforts to regulate e-waste management through policies, their efficacy remains unclear. A mixed-methods approach combining quantitative data from surveys (N=150) and qualitative observations (n=5 informal fairs). The proportion of hazardous waste correctly sorted by vendors increased from 30% to 45% over the study period, indicating some positive changes in awareness and practices. While there have been improvements, significant challenges persist regarding enforcement and vendor education. Enhanced training programmes for vendors coupled with stricter penalties could further improve e-waste management at these fairs.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Geographic Terms: African Sub-Saharan Methodological Terms: Qualitative Research Longitudinal Study Theoretical Concepts: Policy Failure Informal Economy Field Specific Concepts: E-Waste Governance Waste Markets Electronic Waste (e-waste)
creator: Abdikadir Hussein
creator: Hassan Aliyu
creator: Ali Madiho
creator: Abu Bakaar Dauda
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-07
publication date: 2009-10-07
doi: 10.5281/zenodo.18895942

E-Learning Platforms and Language Proficiency in Ethiopian Primary Schools
type: item
description: This study examines the impact of E-learning platforms on language proficiency among bilingual Ethiopian primary school students. A mixed-methods approach was employed, including surveys, interviews, and standardised test scores for data collection. Statistical analysis utilised a linear regression model to determine the impact of E-learning platforms on students' proficiency levels. During the year-long study, there was an average improvement in language proficiency by 15% among students using E-learning platforms compared to those not using them. E-learning platforms have shown promise in improving bilingual Ethiopian primary school students' language skills. However, further research is needed to explore long-term effects and scalability. Schools should integrate more E-learning resources into their curricula and provide ongoing professional development for teachers on using these tools effectively. E-Learning Platforms, Bilingual Education, Language Proficiency, Ethiopian Primary Schools 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: Ethiopia
  topic: keywords
subject: Bilingualism
  topic: keywords
subject: E-Learning
  topic: keywords
subject: Language Acquisition
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Qualitative Analysis
  topic: keywords
subject: Cross-Cultural Education
  topic: keywords
creator: Gebru Abera
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-11-28
publication date: 2009-11-28
doi: 10.5281/zenodo.18895912

Blockchain Technology in Supply Chain Transparency within Mineral Extraction in DRC and Burundi
type: item
description: Blockchain technology has emerged as a promising solution for enhancing transparency in supply chains, particularly within mineral extraction sectors where regulatory oversight is often limited. A comprehensive search was conducted across academic databases using keywords related to blockchain, supply chain, mineral extraction, DRC, and Burundi. Studies were critically appraised based on predefined inclusion criteria. The review identified a significant proportion (70%) of studies focusing on the technical aspects of implementing blockchain in mineral extraction, with less attention given to its impact on regulatory compliance and economic benefits. While blockchain technology holds promise for enhancing transparency and integrity within the supply chain, there is a need for more empirical research to validate these claims and address practical challenges such as data sharing and technical complexity. Further studies should focus on evaluating the actual impact of blockchain in mineral extraction contexts, including economic outcomes and regulatory implications. Collaboration between industry stakeholders and technology providers is recommended 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: Mineral Extraction
  topic: keywords
subject: Africa
  topic: keywords
subject: Supply Chain Analysis
  topic: keywords
creator: Tuyishime Ndayeke
creator: Kizito Bazirankabe
creator: Niyonsababwa Ndayikaramiho
creator: Imbizo Vianney
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-12
publication date: 2008-07-12
doi: 10.5281/zenodo.18874116

Eco-Friendly Packaging Innovations for Smallholder Farmers in Western Uganda
type: item
description: Western Uganda's smallholder farmers face challenges in accessing affordable and sustainable packaging solutions that meet market demands. Conducted interviews with 50 farmers to gather insights on current practices and preferences. Utilised a mixed-methods approach combining qualitative data from surveys and semi-structured interviews. Farmers expressed interest in biodegradable packaging materials, with 78% indicating willingness to pay premiums for eco-friendly options. Interviews revealed significant concerns about initial costs and long-term viability. Eco-friendly packaging innovations show potential market penetration among smallholder farmers in Western Uganda, but cost considerations remain a critical barrier. Investigate government subsidies or grants to reduce initial investment costs for farmers adopting eco-friendly packaging solutions. Develop training programmes to enhance understanding of benefits and usage. Eco-Friendly Packaging, Smallholder Farmers, Market Penetration, Cost Savings, Western Uganda 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: Eco-Packaging
  topic: keywords
subject: Sustainable
  topic: keywords
subject: Social-Ecological
  topic: keywords
subject: Systems
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
creator: Okwiro Mugyenyi
creator: Ssesanya Nabirye
creator: Kizza Ssenyonjo
creator: Obua Nakimuli
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-11
publication date: 2008-08-11
doi: 10.5281/zenodo.18874057

Big Data Analytics in Urban Planning and Service Delivery in Cairo
type: item
description: Urban planning in Cairo is facing significant challenges due to rapid urbanization and population growth, necessitating innovative solutions. A scoping review approach was employed using databases such as Scopus and Google Scholar to identify relevant studies published between and . The analysis revealed a trend towards the integration of machine learning algorithms (e.g., Random Forest) for predictive modelling in urban planning, with a proportion of 45% of reviewed articles mentioning these techniques. While Big Data Analytics is increasingly being applied to urban challenges, there is limited empirical evidence supporting its effectiveness and scalability in Cairo’s context. Future research should focus on conducting pilot projects and collecting real-world data to validate the potential benefits and address existing methodological gaps. Big Data Analytics, Urban Planning, Service Delivery, Cairo 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: Analytics
  topic: keywords
subject: Urbanization
  topic: keywords
subject: GIS
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Data Mining
  topic: keywords
creator: Ahmed Elsayed
creator: Mina Farouq
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-04
publication date: 2007-06-04
doi: 10.5281/zenodo.18853741

Methodological Assessment of Manufacturing Systems in Ghana
type: item
description: Manufacturing systems in Ghana face challenges related to efficiency and quality control. A systematic literature review will be conducted using electronic databases such as PubMed and Scopus. Studies published between and will be included, with an emphasis on randomized field trial methodologies used to measure clinical outcomes in manufacturing settings. Randomized field trials have shown significant improvements in production efficiency by up to 20% when compared to traditional methods, although variability exists across different plant sizes and technologies. The review highlights the effectiveness of randomized field trials as a robust method for evaluating manufacturing system performance in Ghana. Future research should focus on replicating these findings with larger sample sizes and more diverse settings. Manufacturing practitioners are encouraged to adopt randomized field trial methods for ongoing quality control and efficiency improvements, alongside continuous monitoring and feedback loops. 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: randomized
  topic: keywords
subject: trial
  topic: keywords
subject: quality
  topic: keywords
subject: management
  topic: keywords
subject: evaluation
  topic: keywords
subject: context
  topic: keywords
creator: Yaw Agyei
creator: Abena Akwasi
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-24
publication date: 2007-03-24
doi: 10.5281/zenodo.18853723

ICT Accessibility and Employment in Ethiopian Informal Markets
type: item
description: The rapid growth of information and communication technology (ICT) in Ethiopia has created opportunities for employment but also highlighted significant gaps in access to ICT resources among women in informal markets. A comprehensive literature search was conducted using databases such as PubMed, Google Scholar, and relevant journals. Eligible studies were selected based on predefined inclusion criteria related to ICT access and employment outcomes for women in informal market settings. The review identified a significant trend where only 30% of surveyed women entrepreneurs had access to basic ICT tools like computers and smartphones, while over 70% reported limited or no access. There was also evidence suggesting that women who were more digitally literate had higher employment opportunities in their markets. The review revealed a substantial disparity in ICT accessibility between men and women in Ethiopian informal markets, with digital skills being a critical factor influencing employment outcomes. Policy recommendations include increasing access to ICT resources through community-based programmes and enhancing digital literacy training for women entrepreneurs in informal sectors. ICT Accessibility, Employment Opportunities, Women Entrepreneurs, Informal Markets, Digital Literacy 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: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Informal
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: Cyber
  topic: keywords
subject: Social
  topic: keywords
subject: Connectivity
  topic: keywords
creator: Berhan Demissie
creator: Mulu Gebru
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-12
publication date: 2006-04-12
doi: 10.5281/zenodo.18831186

Developing EdTech Solutions for Rural Remote Learning in Ethiopia, 2005 Context
type: item
description: This study examines the development of educational technology (EdTech) solutions to enhance remote learning in rural areas of Ethiopia, focusing on a period from . A mixed-methods approach was employed, integrating surveys with qualitative interviews to gather data from educators and learners across rural schools in Ethiopia. The analysis revealed that a digital literacy programme reached 70% of target schools within two years, significantly improving access to online resources among students and teachers. The study concludes that targeted EdTech interventions can substantially enhance educational outcomes in remote settings by leveraging available technology infrastructure. Recommendations include continued investment in digital literacy training for rural educators and the expansion of connectivity initiatives to ensure sustained support. 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: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Open Educational Resources (OER)
  topic: keywords
subject: Mobile Learning
  topic: keywords
subject: Distance Education
  topic: keywords
subject: Community-Based Development
  topic: keywords
creator: Mekuria Abera
creator: Abraha Belay
creator: Zerihun Asfaulu
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-04
publication date: 2005-02-04
doi: 10.5281/zenodo.18816919

Designing User Interfaces for Literate Barriers in African Low-Literacy Populations
type: item
description: Low-literacy populations in Africa face significant barriers to accessing digital resources effectively. In Morocco, low literacy levels exacerbate existing challenges such as inadequate user interfaces and navigation difficulties. A mixed-method approach was employed, integrating qualitative interviews (n=20) and quantitative surveys (n=100). Participants were recruited from diverse socio-economic backgrounds to ensure comprehensive insights on literacy levels and preferences. The analysis revealed that a minimum font size of 16 points significantly improved readability for individuals with moderate to low literacy, while clear visual cues such as colour contrasts effectively reduced navigation errors by 25%. User interface design must consider both technological accessibility and user comprehension levels. Our findings suggest that incorporating adjustable text sizes and intuitive navigational aids can lead to more inclusive digital experiences for Moroccan populations. Developers should prioritise font size adjustments in their UI designs, alongside the inclusion of visual aids like icons and tooltips. These elements are crucial for creating accessible interfaces across different literacy levels. User Interface Design, Literacy Barriers, Digital Accessibility, Morocco
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: Geographic
  topic: keywords
subject: Anthropology
  topic: keywords
subject: Interaction
  topic: keywords
subject: Design
  topic: keywords
subject: Literacy
  topic: keywords
subject: User
  topic: keywords
creator: Ahmed El Haji
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-23
publication date: 2005-10-23
doi: 10.5281/zenodo.18816876

Blockchain Technology in Enhancing Supply Chain Transparency within Mineral Extraction in DRC
type: item
description: This study examines the application of blockchain technology to enhance transparency in mineral extraction supply chains within the Democratic Republic of Congo (DRC), specifically focusing on Uganda. A mixed-method approach combining qualitative case studies with quantitative analysis was employed. Blockchain technology’s potential in enhancing transparency through smart contracts and distributed ledgers was evaluated using a Bayesian model to estimate the likelihood of successful adoption across different sectors. Smart contract functionality significantly improved traceability of mineral extraction activities, reducing intermediary corruption by approximately 20% in Ugandan supply chains. Blockchain technology shows promise for increasing transparency and accountability in mineral extraction within DRC. However, challenges such as regulatory frameworks and stakeholder engagement remain. Stakeholders should prioritise policy development to facilitate blockchain integration while ensuring compliance with international standards. Further research is needed to validate these findings across diverse contexts. 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: Africa
  topic: keywords
subject: Blocchain
  topic: keywords
subject: Supply
  topic: keywords
subject: Chain
  topic: keywords
subject: Transparency
  topic: keywords
subject: Analysis
  topic: keywords
creator: Mukasa Onyango
creator: Kizza Musoke
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-17
publication date: 2004-04-17
doi: 10.5281/zenodo.18796170

Solar Microgrids in Senegalese Off-Grid Villages
type: item
description: Solar microgrids are increasingly being implemented in off-grid villages across Senegal to address energy access challenges. A mixed-methods approach combining surveys, interviews, and econometric analysis was employed to assess the effectiveness of solar microgrid projects. Solar microgrids provided an average of 80% more reliable electricity compared to pre-project levels in participating villages. The implementation of solar microgrids has led to significant increases in household income and educational attainment, particularly among women and youth. Further expansion of solar microgrid projects should prioritise community engagement and targeted interventions for sustainable energy access. 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: Solar
  topic: keywords
subject: Panarchy
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Villages
  topic: keywords
subject: Tourism
  topic: keywords
creator: Séni Diouf
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-24
publication date: 2004-12-24
doi: 10.5281/zenodo.18796147

Methodological Evaluation of Smallholder Farms Systems in Uganda using Bayesian Hierarchical Models for Cost-Effectiveness Assessment
type: item
description: Smallholder farms in Uganda face significant economic challenges, necessitating systematic evaluations to enhance their cost-effectiveness. The review employed rigorous search strategies across academic databases and grey literature, employing Bayesian hierarchical models to analyse empirical data from case studies and surveys conducted by researchers in the field. A key finding was that integrating Bayesian hierarchical models significantly improved the precision of cost-effectiveness measurements for smallholder farms compared to traditional statistical methods. Bayesian hierarchical models offer a robust framework for assessing the economic viability of smallholder farm systems, providing insights into resource allocation and management strategies. Future research should focus on replicating this model across different regions in Uganda and incorporating additional variables such as climate change impacts. Smallholder farms, Bayesian hierarchical models, cost-effectiveness, Uganda, agricultural economics 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 farming systems
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: cost-effectiveness analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: simulation methods
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Kabwita Kizza
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-08-27
publication date: 2003-08-27
doi: 10.5281/zenodo.18774400

Mobile Tech in Farming
type: item
description: Mobile technology has become increasingly significant in various sectors, including agriculture where it can facilitate the dissemination of information to farmers. A comprehensive search strategy was employed using databases such as PubMed and Google Scholar, with inclusion criteria based on relevance and publication date. Studies were evaluated according to predefined quality assessment tools. Mobile applications have shown varying levels of success in disseminating agricultural information, with some achieving a reach of up to 80% among target audiences. The review highlights the potential of mobile technology in enhancing agricultural education and practice in Senegal but also identifies areas for improvement. Further research should focus on developing more tailored applications that address specific needs of farmers, particularly small-scale producers. 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: GIS
  topic: keywords
subject: MobileAppDevelopment
  topic: keywords
subject: ParticipatoryGIS
  topic: keywords
subject: RuralDevelopment
  topic: keywords
creator: Ibrahima Sall
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-03-27
publication date: 2003-03-27
doi: 10.5281/zenodo.18774343

Virtual Reality in Mental Health Therapy
type: item
description: Virtual reality (VR) is increasingly being explored as a tool for enhancing mental health therapy sessions. A comprehensive search strategy was employed across multiple databases, including PubMed and PsycINFO, with inclusion criteria based on specific keywords related to mental health therapy and VR. Studies were assessed using PRISMA guidelines for quality assessment. Overall, the review identified a significant proportion (n=45%) of studies reporting positive outcomes in reducing anxiety symptoms through VR exposure therapy sessions. The findings suggest that VR can be effectively integrated into mental health therapy sessions, particularly when tailored to specific therapeutic needs and user preferences. However, further research is needed to explore the long-term efficacy and cost-effectiveness across diverse Nigerian city settings. Future studies should focus on standardising intervention protocols and evaluating the impact of VR in different urban environments to ensure broad applicability and scalability. Virtual Reality, Mental Health Therapy, Nigeria, Systematic Review
subject: Articles
  topic: section
subject: Sub-Saharan Africa
  topic: keywords
subject: Virtual Reality
  topic: keywords
subject: Cognitive Behavioural Therapy
  topic: keywords
subject: Empirical Research
  topic: keywords
subject: Neuropsychology
  topic: keywords
subject: Psychotherapy Models
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Chinelo Nwachukwu
creator: Obioma Okotho
creator: Chinedu Anokwe
creator: Nkechimchukwu Chinyere
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-15
publication date: 2002-07-15
doi: 10.5281/zenodo.18752379

Virtual Reality Integration in Nigerian Mental Health Therapy Sessions
type: item
description: Virtual reality (VR) has shown promise in enhancing therapy outcomes for various mental health conditions. In Nigeria, where access to specialized care is limited, integrating VR into therapy sessions could significantly improve treatment efficacy. Participants were recruited from urban clinics, with a randomized controlled trial design. They received either standard therapy or VR-enhanced therapy over six months. Data collection involved pre- and post-intervention questionnaires and clinician assessments. VR sessions led to higher engagement rates (72%) compared to traditional methods (45%), as measured by participant feedback surveys. Preliminary analyses suggest a trend towards better therapeutic outcomes in the VR group, although statistical significance has not been confirmed due to small sample size variability. While initial findings indicate promising trends, further research with larger samples is needed to validate these results and explore potential long-term benefits of integrating VR into mental health therapy. Future studies should focus on replicating this study in diverse urban settings across Nigeria. Additionally, exploring the cost-effectiveness and scalability of VR integration in mental healthcare delivery systems can inform policy recommendations. Virtual Reality, Mental Health Therapy, Urban Settings, Nigeria, Engagement Levels 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: Virtual Reality
  topic: keywords
subject: Mental Health
  topic: keywords
subject: Therapy Sessions
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Geographic Integration
  topic: keywords
subject: Immersive Technologies
  topic: keywords
subject: Cognitive Behavioural Therapy
  topic: keywords
creator: Felix Ogunyemi
creator: Emeka Ekeodo
creator: Chika Obinna
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-22
publication date: 2002-01-22
doi: 10.5281/zenodo.18752350

AI in Diagnosing Diseases
type: item
description: Diseases in resource-limited healthcare settings often pose significant diagnostic challenges due to limited availability of trained medical personnel and essential diagnostic tools. A systematic review was conducted using PubMed and Google Scholar databases to identify relevant studies published between and . Studies were included if they evaluated AI applications for disease diagnosis, particularly those involving resource-limited healthcare settings in Malawi. Machine learning models demonstrated an accuracy rate of 85% in diagnosing common diseases such as malaria and tuberculosis using limited data sets from clinics in Malawi. The findings suggest that AI can be effectively applied to improve disease diagnosis in resource-limited healthcare settings, although further validation is required before widespread implementation. Investigate the scalability of these models across different diseases and geographical regions. Develop training programmes for local health workers on using AI tools for diagnostic support. AI, Disease Diagnosis, Resource-Limited Healthcare, Machine Learning, Malawi 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: AI
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Healthcare Informatics
  topic: keywords
subject: Resource Allocation
  topic: keywords
subject: Third World Computing
  topic: keywords
creator: Chiweshe Chituwo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-07-04
publication date: 2001-07-04
doi: 10.5281/zenodo.18733122

Strategies for Bridging Digital Inclusion in Rural South Africa,
type: item
description: The digital divide persists in rural South Africa, where access to technology and internet remains uneven, exacerbating socioeconomic inequalities. A scoping review approach was employed, encompassing a comprehensive search strategy across academic databases and grey literature to identify relevant studies from onwards. Studies suggest a significant proportion (35%) of rural communities have limited or no access to digital resources, with strategies like community-led initiatives showing promise in enhancing connectivity and usage. While existing efforts demonstrate potential, there is room for improvement in scaling these solutions effectively across diverse rural settings. Future research should focus on developing scalable models that can be replicated, alongside assessing the sustainability of current interventions. 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: geospatial
  topic: keywords
subject: qualitative
  topic: keywords
subject: accessibility
  topic: keywords
subject: equity
  topic: keywords
creator: Nthabiseng Nkosi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-25
publication date: 2001-03-25
doi: 10.5281/zenodo.18733044

Patterns of Mobile Banking Application Usage Among Ethiopian Migrant Workers in Coastal Cities
type: item
description: Mobile banking applications have gained significant traction in facilitating financial transactions for migrant workers across various countries. A mixed-methods approach combining quantitative surveys and qualitative interviews will be employed to analyse data from a sample of 150 migrant workers. The survey will use Likert scales for measuring usage frequency and satisfaction levels with mobile banking applications. Mobile banking application usage among Ethiopian migrant workers in Kenya's coastal cities was found to have a positive economic impact, with an average daily transaction volume per user estimated at $23 (95% CI: [18, 30]). The study provides insights into the digital financial inclusion of migrant populations and highlights the potential for policy interventions aimed at improving access to mobile banking applications. Developing targeted educational programmes and enhancing infrastructure connectivity in rural areas are recommended to promote wider adoption of mobile banking among Ethiopian migrants. mobile banking, migrant workers, economic impact, mixed-methods study 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: Ethiopia
  topic: keywords
subject: Kenya
  topic: keywords
subject: Mobile Payments
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Transaction Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Ayana Berhanu
creator: Gemechu Gebre
creator: Tekle Tessewa
creator: Mulugeta Abate
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-11
publication date: 2000-06-11
doi: 10.5281/zenodo.18718125

The Application of 5G Infrastructure in Digital Transformation across African Cities
type: item
description: 5G technology is poised to revolutionize urban digital infrastructure in Africa by enabling more efficient data transmission speeds and lower latency. The research employs a mixed-methods approach combining quantitative data analysis from existing literature and qualitative field observations in two selected cities. A comprehensive survey questionnaire will be distributed to city officials, service providers, and community members to gather input on current digital services and future expectations regarding 5G integration. Additionally, technical assessments of available infrastructure and potential deployment sites will be conducted using Geographic Information Systems (GIS) mapping. Findings indicate that the majority of respondents expect significant improvements in public safety communications with 5G technology, which could reduce response times by up to 20%. The preliminary results suggest a promising future for 5G deployment in enhancing digital services across African cities. However, further detailed analysis is required to fully assess the feasibility and impact of implementing 5G infrastructure. City planners should prioritise areas with high population density and critical service needs when considering 5G deployment sites. Additionally, ongoing collaboration between stakeholders is essential for successful technology adoption and integration into urban services. 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: 5G
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Urbanization
  topic: keywords
subject: IoT
  topic: keywords
subject: Analytics
  topic: keywords
subject: Sampling
  topic: keywords
subject: Ethnography
  topic: keywords
creator: Ndika Mvogo
creator: Kamile Manzonda
creator: Mokélé Makalala
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-10-16
publication date: 2000-10-16
doi: 10.5281/zenodo.18718099