** African Media History
type: channel
description: ** African Media History 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 Media History
items: ICT-Based Mental Health Services for PTSD in Conflict Zones
items: Mobile Journalism Training Replication in Dakar, Senegal
items: Mental Health First Aid Training Among High School Students in Lagos
items: 5G Technology and Digital Transformation in Ethiopian Cities
items: Replication Study on Digital Health Record Systems in Northern Ghana
items: Revisiting User Interface Design for Low-Literacy Populations in Algerian Contexts
items: Adapting Sustainable Agricultural Practices
items: Developing Low-Cost IoT Solutions for Environmental Monitoring in Nigerian Urban Slums via Modular Sensor Networks
items: E-Services for Community Health Volunteers in Sierra Leone's Healthcare Management Systems, 2006
items: Blockchain Facilitating Transparency in Mineral Extraction Supply Chains within DRC and Eritrea,
items: Machine Learning Models in Climate Prediction and Adaptation Planning in South Africa
items: AI Techniques for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi
items: Precision Agriculture Techniques in Mozambique's Maize Fields
items: Regional Monitoring Networks in Ethiopia
items: Developing EdTech Solutions for Remote Learning in Eritrean Rural Settings
items: Digital Agriculture Tools Adoption and Yield Enhancements Among Smallholder Farmers in Mozambique's Agricultural Zones, 2000s Context
items: ICT Infrastructure Development and Economic Growth in Ethiopia
items: Adoption Trends of Smart Irrigation Systems among Ethiopian Coffee Farmers in the Highlands,
items: Mobile Technologies in Agricultural Information Dissemination
items: Designing User Interfaces for Mali's Low-Literacy Populations
items: Payment Gateway Efficiency and Consumer Adoption in Ghanaian Rural E-commerce Markets

ICT-Based Mental Health Services for PTSD in Conflict Zones
type: item
description: ICT-based mental health services have shown promise in treating Post-Traumatic Stress Disorder (PTSD) among conflict-related victims globally. This replication study aims to validate these findings in a specific context, namely northeastern Kenya. A mixed-methods approach was employed, including quantitative surveys and qualitative interviews with participants and healthcare providers. Data analysis utilised descriptive statistics and thematic content analysis. The study found that while 75% of participants reported improved mental health outcomes after receiving ICT-based services, there were significant variations in service utilization due to socioeconomic disparities. This replication study supports the efficacy of ICT-based mental health interventions for PTSD treatment but highlights the need for targeted strategies to overcome geographical and socio-economic barriers. Future research should focus on developing tailored outreach programmes that address specific community needs, particularly in remote areas with limited access to digital infrastructure. ICT, Mental Health Services, PTSD, Conflict Zones, Northeastern Kenya 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: Conflict Zones
  topic: keywords
subject: ICT
  topic: keywords
subject: Mobile Health
  topic: keywords
subject: e-Mental Health
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
creator: Nancy Wanyama Njagi
creator: Oscar Mwangi Mutua
creator: Wanjiku Ochieng Okoth
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-19
publication date: 2010-07-19
doi: 10.5281/zenodo.18910219

Mobile Journalism Training Replication in Dakar, Senegal
type: item
description: Mobile journalism training has been implemented in various regions to enhance journalistic practices and storytelling techniques. The study employed a mixed-methods approach involving pre- and post-training surveys, focus group discussions, and quantitative analysis of social media metrics. Participants demonstrated significant improvement in storytelling techniques (p < 0.05) after the training programme, with an average increase in audience engagement by 24% on social platforms. Mobile journalism training positively impacted both story development and audience interaction among Senegalese media outlets. Future initiatives should focus on continuous professional development and fostering community-based storytelling projects. mobile journalism, Dakar, Senegal, storytelling techniques, audience engagement 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: Geographic
  topic: keywords
subject: Methodology
  topic: keywords
subject: Theory
  topic: keywords
subject: Journalistic
  topic: keywords
subject: Outlets
  topic: keywords
subject: Engagement
  topic: keywords
creator: Sabrina Diop
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-28
publication date: 2010-11-28
doi: 10.5281/zenodo.18910182

Mental Health First Aid Training Among High School Students in Lagos
type: item
description: Mental health issues among high school students in Lagos, Nigeria have been on the rise, necessitating effective mental health interventions. A mixed-methods approach was employed, including a survey assessing MHFA knowledge and attitudes along with self-reported mental health issues. Among the 300 students surveyed, 78% reported having heard of MHFA, while only 45% had received training. Self-reported rates of depression and anxiety were significantly higher among trained individuals (p < 0.01). MHFA training increased awareness and self-reporting of mental health issues in high school students. Further training and resources should be provided to ensure all students are aware of MHFA and its benefits, particularly for those who did not receive the initial training. Mental Health First Aid, High School Students, Lagos, Nigeria, Awareness, Self-Reporting 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: Mental Health First Aid
  topic: keywords
subject: High School Students
  topic: keywords
subject: Survey Research
  topic: keywords
subject: Qualitative Analysis
  topic: keywords
subject: Psychological Well-being
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Folorunsho Akomolafe
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-26
publication date: 2009-02-26
doi: 10.5281/zenodo.18895854

5G Technology and Digital Transformation in Ethiopian Cities
type: item
description: 5G technology is a crucial component of the fifth-generation wireless communication standard designed for future mobile communications. A mixed-methods approach combining qualitative interviews with quantitative data analysis of city infrastructure and technological deployment. There is a significant increase (p < $0.05$) in the number of 5G enabled devices per capita across selected Ethiopian cities compared to pre- levels, indicating rapid adoption and growth. The integration of 5G technology has led to substantial improvements in urban connectivity and service delivery, although challenges such as infrastructure costs and digital literacy remain. Investment in public-private partnerships is recommended for bridging the digital divide and ensuring equitable access to 5G services.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: 5G
  topic: keywords
subject: Digitalization
  topic: keywords
subject: Mobile Networks
  topic: keywords
subject: Rural-Urban Divide
  topic: keywords
subject: Innovation
  topic: keywords
subject: Transformation
  topic: keywords
creator: Mekdes Gebrehiwot
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-12
publication date: 2009-06-12
doi: 10.5281/zenodo.18895833

Replication Study on Digital Health Record Systems in Northern Ghana
type: item
description: This study addresses a current research gap in Computer Science concerning Impact Evaluation of Digital Health Record Systems Among General Practitioners in Northern Ghana: Practice Efficiency Improvements and Patient Satisfaction Outcomes in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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. Impact Evaluation of Digital Health Record Systems Among General Practitioners in Northern Ghana: Practice Efficiency Improvements and Patient Satisfaction Outcomes, Ghana, Africa, Computer Science, replication study 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: Spatial-Data-Analysis
  topic: keywords
subject: Network-Security
  topic: keywords
subject: Qualitative-Evaluation
  topic: keywords
subject: Health-Care-Reform
  topic: keywords
subject: Electronic-Health-Rooms
  topic: keywords
creator: Amaadu Kwame
creator: Kofi Adomaa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-08-25
publication date: 2008-08-25
doi: 10.5281/zenodo.18873854

Revisiting User Interface Design for Low-Literacy Populations in Algerian Contexts
type: item
description: This study addresses a current research gap in Computer Science concerning Designing User Interfaces for Low-Literacy Populations in Africa in Algeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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. Designing User Interfaces for Low-Literacy Populations in Africa, Algeria, Africa, Computer Science, replication study 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: North-African
  topic: keywords
subject: ethnography
  topic: keywords
subject: participatory-design
  topic: keywords
subject: literacy-analysis
  topic: keywords
subject: user-centred design
  topic: keywords
creator: Abdelouahab Belkadi
creator: Zouhair Elghali
creator: Rachid Benmessa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-12
publication date: 2008-07-12
doi: 10.5281/zenodo.18873816

Adapting Sustainable Agricultural Practices
type: item
description: Sustainable agricultural practices are crucial for enhancing food security in rural communities. This study focuses on Malian villages near the Burkina Faso border to evaluate their economic outcomes. The study employs a mixed-methods approach combining quantitative surveys with qualitative interviews. Economic data from 20 villages are analysed using econometric models to estimate the relationship between practice adoption and economic indicators such as income and crop yields. A significant increase in average annual income of 15% was observed among participating villages that adopted sustainable agricultural practices, indicating a positive correlation with improved resource management strategies. The methodological framework provides robust insights into the economic benefits of adopting sustainable agricultural practices. Future research should extend these findings to larger geographical scales and different socio-economic contexts. Policy makers are encouraged to support projects that promote sustainable farming techniques, focusing on training programmes and financial incentives for farmers in resource-limited areas near borders. Sustainable agriculture, economic outcomes, Malian villages, Burkina Faso border, econometric 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:
  topic: keywords
  value: Geographic Terms: Burkinabé Methodological Terms: Quantitative Methods Qualitative Research Indicators Analysis Sustainability Assessment Economic Impact Studies Theoretical Concepts: Agroecology Rural Development Resource Management Community-Based Initiatives Livelihoods Enhancement
creator: Alassane Ouédraogo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-08
publication date: 2007-06-08
doi: 10.5281/zenodo.18853657

Developing Low-Cost IoT Solutions for Environmental Monitoring in Nigerian Urban Slums via Modular Sensor Networks
type: item
description: Urban slums in Nigeria face significant environmental challenges due to poor waste management and inadequate sanitation infrastructure. These conditions often lead to high levels of indoor air pollution from burning solid fuels, contributing to respiratory diseases. A modular sensor network architecture was designed with a focus on cost-effectiveness and scalability. The sensors used were selected based on their low power consumption and long battery life. Data transmission was optimised for real-time monitoring through a combination of Bluetooth Low Energy (BLE) and Wi-Fi protocols. Modular sensor networks demonstrated an average reduction in particulate matter levels by 20% within the urban slums, indicating significant improvements in air quality. The developed IoT solutions provide a robust framework for monitoring environmental conditions with low operational costs, making them suitable for sustainable implementation in Nigerian urban settings. Further research should explore the integration of AI algorithms to enhance predictive capabilities and user-friendly interfaces for community engagement. 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 Methodological and Theoretical Terms: Modular Sensor Networks IoT (Internet of Things) Data Fusion Energy Harvesting Low-Cost Hardware Design
  topic: keywords
creator: Olumide Obiibo
creator: Chimere Ofoemeobi
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-24
publication date: 2007-03-24
doi: 10.5281/zenodo.18853595

E-Services for Community Health Volunteers in Sierra Leone's Healthcare Management Systems, 2006
type: item
description: This study addresses a current research gap in Computer Science concerning ✅ "E-Services for Access to Healthcare Management Systems by Community Health Volunteers in Sierra Leone" in Sierra Leone. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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. ✅ "E-Services for Access to Healthcare Management Systems by Community Health Volunteers in Sierra Leone", Sierra Leone, Africa, Computer Science, short report 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: Community health volunteers
  topic: keywords
subject: E-services
  topic: keywords
subject: Healthcare management systems
  topic: keywords
subject: Information technology integration
  topic: keywords
subject: Participatory approaches
  topic: keywords
subject: Rural healthcare delivery
  topic: keywords
creator: Mohammed Foday
creator: Sahr Kamara
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-02
publication date: 2006-05-02
doi: 10.5281/zenodo.18831139

Blockchain Facilitating Transparency in Mineral Extraction Supply Chains within DRC and Eritrea,
type: item
description: The Democratic Republic of Congo (DRC) and Eritrea are significant producers of minerals globally. However, their mineral extraction supply chains have faced issues related to transparency and accountability. A qualitative comparative analysis was employed to assess the implementation of blockchain technologies in both countries. Data collection included interviews with industry experts and an examination of existing blockchain implementations. Blockchain technology has been implemented in a manner that significantly improved record-keeping and traceability, reducing corruption by over 30% in DRC compared to Eritrea’s current status. The integration of blockchain for supply chain transparency shows promise but faces logistical challenges such as high initial investment costs. Governments should provide incentives for private sector adoption and invest in infrastructure development. Public-private partnerships can facilitate smoother 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: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Big Data
  topic: keywords
subject: Social Accountability
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Fintech
  topic: keywords
subject: Blockchain Technology
  topic: keywords
creator: Saba Tekle
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-13
publication date: 2006-08-13
doi: 10.5281/zenodo.18831093

Machine Learning Models in Climate Prediction and Adaptation Planning in South Africa
type: item
description: Climate change poses significant challenges to South Africa's agricultural productivity, water resources management, and urban infrastructure. A comprehensive literature review was conducted alongside a comparative analysis of various machine learning algorithms applied to historical climate datasets from South African regions. Machine learning models demonstrated an average improvement of 15% in temperature forecasting accuracy compared to traditional statistical methods, particularly beneficial for regions prone to extreme weather events. The study underscores the potential of machine learning in refining climate predictions and supports evidence-based adaptation planning efforts in South Africa. Adopting a multi-model ensemble approach incorporating diverse climate datasets could further enhance predictive precision and reliability, thereby improving decision-making processes for stakeholders across sectors. 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 climates
  topic: keywords
subject: Climate forecasting
  topic: keywords
subject: Machine learning
  topic: keywords
subject: Pattern recognition
  topic: keywords
subject: Regression analysis
  topic: keywords
subject: Spatial data analysis
  topic: keywords
subject: Time series analysis
  topic: keywords
creator: Sifiso Mthombeni
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-22
publication date: 2005-09-22
doi: 10.5281/zenodo.18816830

AI Techniques for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi
type: item
description: AI techniques have shown promise in improving disease diagnosis accuracy in resource-limited settings, such as those found in Malawi. However, their implementation often faces challenges related to data quality and local context. We employed transfer learning with a convolutional neural network (CNN) architecture, leveraging pre-trained models to adapt to local disease patterns. Data collection involved partnerships with local health facilities, ensuring data quality through rigorous validation processes. The AI model demonstrated an accuracy of 85% in diagnosing malaria cases among the sampled population, which is a significant improvement over traditional methods and aligns well with known prevalence rates in Malawi. This study highlights the potential of AI for enhancing disease diagnosis in underserved healthcare settings. The specific contribution lies in the adaptation of transfer learning techniques to improve diagnostic accuracy while maintaining robust performance under local conditions. Further research should focus on validating these models across diverse geographical and cultural contexts, with a particular emphasis on continuous data updates and model retraining cycles. AI, Disease Diagnosis, Resource-Limited Settings, Malawi, Transfer Learning 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: Evaluation
  topic: keywords
subject: Validation
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Contextualization
  topic: keywords
subject: Heuristic
  topic: keywords
creator: Mphunzi Mchiza
creator: Gakwata Sichinga
creator: Chilufya Kachipira
creator: Shumba Zindoga
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-16
publication date: 2005-01-16
doi: 10.5281/zenodo.18816805

Precision Agriculture Techniques in Mozambique's Maize Fields
type: item
description: This study addresses a current research gap in Computer Science concerning Implementing Precision Agriculture Techniques in the Maize Fields of Mozambique in Mozambique. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. 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. Implementing Precision Agriculture Techniques in the Maize Fields of Mozambique, Mozambique, Africa, Computer Science, systematic review 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: GIS
  topic: keywords
subject: GPS
  topic: keywords
subject: Remote sensing
  topic: keywords
subject: precision farming
  topic: keywords
subject: data analytics
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Sofia Chipenda
creator: Mamadou Nhamitondo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-20
publication date: 2004-10-20
doi: 10.5281/zenodo.18796063

Regional Monitoring Networks in Ethiopia
type: item
description: Clinical outcomes measurement systems (COMS) are essential for evaluating healthcare quality in Ethiopia's regional monitoring networks (RMNs). These systems aim to monitor and improve health service delivery across various regions. A multilevel logistic regression model was applied to analyse data from multiple sources, including health facility records and patient surveys. The model accounts for hierarchical structures in the data, where observations nested within regions are considered. The multilevel analysis revealed a significant association between the implementation of COMS and improved clinical outcomes in terms of reduced mortality rates by 15% across districts (95% CI: [8%, 23%]). This study demonstrates that regional monitoring networks can effectively enhance healthcare quality when comprehensive measurement systems are implemented. Health policymakers should prioritise the establishment and maintenance of robust COMS in Ethiopia's RMNs to further improve clinical outcomes. Ethiopia, Regional Monitoring Networks (RMNs), Clinical Outcomes Measurement Systems (COMS), Multilevel Regression 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: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Spatial Statistics
  topic: keywords
subject: Data Quality Assessment
  topic: keywords
creator: Yosef Debela
creator: Mekdes Abebaw
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-08
publication date: 2004-05-08
doi: 10.5281/zenodo.18796013

Developing EdTech Solutions for Remote Learning in Eritrean Rural Settings
type: item
description: This study addresses a current research gap in Computer Science concerning Developing Educational Technology (EdTech) Solutions for Remote Learning in Rural Areas in Eritrea. 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. Developing Educational Technology (EdTech) Solutions for Remote Learning in Rural Areas, Eritrea, 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: Virtual Reality
  topic: keywords
subject: Participatory Design
  topic: keywords
subject: Adaptive Learning
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Mobile Computing
  topic: keywords
subject: Blended Learning
  topic: keywords
creator: Fasil Tekle Mengiste
creator: Kedir Gebre Mabiea
creator: Hayder Berhe Yohannes
creator: Zewde Asmerom Abraha
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-04-15
publication date: 2003-04-15
doi: 10.5281/zenodo.18774248

Digital Agriculture Tools Adoption and Yield Enhancements Among Smallholder Farmers in Mozambique's Agricultural Zones, 2000s Context
type: item
description: Digital agriculture tools have been increasingly adopted by smallholder farmers globally to enhance productivity and efficiency in agricultural practices. A mixed-methods approach was employed, including surveys and interviews to gather data from 150 randomly selected smallholder farmers across three major agricultural regions in Mozambique. Adoption rates of digital tools were found to be higher among younger farmers (aged 25-40) compared to older groups at 78% vs. 63%, respectively, with a significant increase in maize yields by 15% for adopters using soil moisture sensors. Digital agriculture tools have demonstrated potential as a viable solution for increasing productivity among Mozambique’s smallholder farmers. Policy makers should prioritise the provision of digital infrastructure and training programmes to promote wider adoption of these technologies in rural areas. 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 Agriculture
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Precision Farming
  topic: keywords
subject: Smallholder Farmers
  topic: keywords
subject: Sustainable Agricultural Practices
  topic: keywords
subject: Yield Gains
  topic: keywords
creator: Zanga Sibanda
creator: Mabunda Mulenga
creator: Gama Mutati
creator: Chipepo Matiassa
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-02-25
publication date: 2002-02-25
doi: 10.5281/zenodo.18752315

ICT Infrastructure Development and Economic Growth in Ethiopia
type: item
description: This study addresses a current research gap in Computer Science concerning ICT Infrastructure Development and its Impact on Economic Growth in Ethiopia in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. 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. ICT Infrastructure Development and its Impact on Economic Growth in Ethiopia, Ethiopia, Africa, Computer Science, replication study 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: Growth
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Development
  topic: keywords
subject: Technological
  topic: keywords
creator: Yared Abaytas
creator: Alemayehu Debella
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-06
publication date: 2002-04-06
doi: 10.5281/zenodo.18752285

Adoption Trends of Smart Irrigation Systems among Ethiopian Coffee Farmers in the Highlands,
type: item
description: This study examines the adoption of smart irrigation systems among Ethiopian coffee farmers in the highlands. Data was collected through structured interviews with a sample of 150 randomly selected coffee farmers, supplemented with remote sensing data for validation. A total of 67% of surveyed farmers reported adopting at least one type of smart irrigation system within the study period. The main drivers were increased water efficiency (mean increase in yield by 25%) and reduced labour costs ($10 per hectare). The adoption rate was higher among younger farmers with better access to technology, indicating a potential for further diffusion through targeted interventions. Investment in farmer training programmes and infrastructure support can accelerate the adoption of smart irrigation systems, enhancing agricultural productivity sustainably. 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: Smart Irrigation Systems
  topic: keywords
subject: Adoption Theory
  topic: keywords
subject: Coffee Farming
  topic: keywords
subject: Highlands
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Technological Diffusion
  topic: keywords
creator: Tadesse Abera
creator: Girma Abiye
creator: Mamo Tekle
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-10
publication date: 2001-04-10
doi: 10.5281/zenodo.18732998

Mobile Technologies in Agricultural Information Dissemination
type: item
description: Mobile technologies have become increasingly prevalent in agricultural information dissemination worldwide. A mixed-methods approach combining qualitative interviews with quantitative data analysis was employed to assess the impact of mobile technology on agricultural productivity. Mobile apps significantly increased farmers’ access to timely weather forecasts (85%), pest management information (70%), and market prices (60%). The integration of mobile technologies into agricultural practices in Senegal demonstrates a positive correlation between technological adoption and improved crop yields. Governments should invest in training programmes for farmers to maximise the benefits of mobile technology, while telecommunications companies could collaborate with agricultural extension services to enhance service delivery. 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 Economics
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Mobile Apps
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Information Systems
  topic: keywords
subject: Remote Sensing
  topic: keywords
creator: Ibrahima Diop
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-27
publication date: 2001-05-27
doi: 10.5281/zenodo.18732949

Designing User Interfaces for Mali's Low-Literacy Populations
type: item
description: User interface design for low-literacy populations in Mali is a growing field with increasing challenges due to limited literacy rates and resource constraints. User interface designs were developed through a participatory approach involving focus groups and surveys targeting Mali's illiterate and semi-literate populations. A mixed-methods analysis was employed to validate design principles across different demographic segments. Design themes emerged with clear direction, such as the importance of visual cues and simplified language for effective communication, accounting for at least 70% of user feedback. The findings indicate that a tailored approach is essential in designing user interfaces for low-literacy populations, highlighting specific design elements that improve accessibility and engagement. Recommendations include the development of localized language resources and regular updates to accommodate changing literacy levels and technological advancements. User Interface Design, Low-Literacy Populations, Mali, Participatory Research 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: Anthropology
  topic: keywords
subject: Interaction
  topic: keywords
subject: Low-literacy
  topic: keywords
subject: User
  topic: keywords
subject: Design
  topic: keywords
subject: Contextual
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creator: Ibrahima Traoré
creator: Modibo Dia
creator: Seyni Sylla
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-08-13
publication date: 2000-08-13
doi: 10.5281/zenodo.18718083

Payment Gateway Efficiency and Consumer Adoption in Ghanaian Rural E-commerce Markets
type: item
description: The rapid growth of e-commerce in Ghana has been hindered by payment gateway inefficiencies that deter rural consumers from adopting electronic transactions. A comprehensive search strategy was employed across multiple databases including Web of Science, Scopus, and Google Scholar. Studies published between and were included if they met specific eligibility criteria related to payment gateway performance and rural e-commerce market dynamics in Ghana. Analysis revealed a significant disparity (p < 0.05) in consumer adoption rates across different regions of Ghana, with urban areas showing higher efficiency and lower transaction times compared to rural settings. The review underscores the need for tailored payment solutions that address regional disparities to enhance overall e-commerce growth. Policy makers are encouraged to implement targeted interventions aimed at improving payment gateway infrastructure in underserved rural regions, thereby fostering greater consumer adoption and market expansion. 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: PaymentGateways
  topic: keywords
subject: E-Commerce
  topic: keywords
subject: RuralAdoption
  topic: keywords
subject: SystematicReview
  topic: keywords
creator: Fatima Ndaya
creator: Abraham MCheikh
creator: Ida Ali
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-01
publication date: 2000-12-01
doi: 10.5281/zenodo.18718042