African Oceanography Studies (Earth Science focus)
type: channel
description: African Oceanography Studies (Earth Science 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 Oceanography Studies (Earth Science focus)
items: Methodological Assessment of Field Research Stations Systems in Tanzania Using Multilevel Regression Analysis for Adoption Rate Measurement
items: Methodological Evaluation of Bayesian Hierarchical Models in Assessing Yield Improvement in Off-Grid Communities Across South Africa,
items: Water Supply Solutions in Indigenous Atacama Desert Communities
items: Time-Series Forecasting Model Evaluation for Yield Improvement in Senegalese Manufacturing Plants Systems
items: Precision Irrigation Systems in Indian River Irrigation Districts
items: Methodological Evaluation of Manufacturing Plant Systems Adoption in Rwanda Using Multilevel Regression Analysis
items: Methodological Evaluation of Manufacturing Systems in Nigerian Plants Using Bayesian Hierarchical Models for Clinical Outcome Assessment
items: Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Analysis
items: Methodological Evaluation of Regional Monitoring Networks in South Africa Using Multilevel Regression Analysis
items: Methodological Evaluation of Municipal Water Systems in Senegal
items: Methodological Evaluation of Quasi-experimental Design in Municipal Water Systems in South Africa,
items: Multilevel Regression Analysis for Evaluating Adoption Rates of Field Research Stations in South Africa
items: Methodological Evaluation of Municipal Water Systems in Tanzania
items: Methodological Assessment of Clinical Outcomes in Ethiopia's Field Research Stations Systems Using Difference-in-Differences Models
items: Methodological Assessment of Secondary Schools Systems in Tanzania Using Difference-in-Differences for Clinical Outcome Evaluation
items: TEK in Conservation
items: Integrated Watershed Management in Senegal
items: Ecological Restoration Techniques in Uganda
items: Methodological Evaluation of Secondary School Systems in Uganda
items: Methodological Evaluation of Municipal Water Systems in Ethiopia Using Panel Data for System Reliability Assessment
items: Climate Change Litigation and Enforcement in South Africa
items: Bayesian Hierarchical Model Assessment of Municipal Water Systems Efficiency in Ghana

Methodological Assessment of Field Research Stations Systems in Tanzania Using Multilevel Regression Analysis for Adoption Rate Measurement
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of field research stations systems in Tanzania: multilevel regression analysis for measuring adoption rates in Tanzania. 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. Methodological evaluation of field research stations systems in Tanzania: multilevel regression analysis for measuring adoption rates, Tanzania, Africa, Environmental Science, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: sampling theory
  topic: keywords
subject: regression analysis
  topic: keywords
subject: data quality assurance
  topic: keywords
creator: Wakili Wabiru
creator: Mawazo Mwiro
creator: Kamadhenu Kashiri
creator: Safiki Sande
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-06
publication date: 2011-12-06
doi: 10.5281/zenodo.18924341

Methodological Evaluation of Bayesian Hierarchical Models in Assessing Yield Improvement in Off-Grid Communities Across South Africa,
type: item
description: Bayesian hierarchical models have gained prominence in environmental science for their ability to handle complex data structures and uncertainties inherent in off-grid community systems. A systematic literature review was conducted using a comprehensive database search strategy. Quantitative data from published studies were analysed using Bayesian hierarchical modelling techniques to estimate yield improvements and associated uncertainties. Bayesian hierarchical models exhibited robustness in capturing the variability of off-grid community systems, with significant reductions in energy consumption observed across multiple case studies (e.g., up to 30% reduction). The review underscores the effectiveness of Bayesian hierarchical models for quantifying yield improvement and highlights their utility in guiding policy and practice development for sustainable off-grid solutions. Future research should explore the scalability of these models across different geographical regions and socio-economic contexts to ensure broad applicability and reliability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: South Africa
  topic: keywords
subject: Bayesian hierarchical models
  topic: keywords
subject: off-grid communities
  topic: keywords
subject: yield improvement
  topic: keywords
subject: uncertainty analysis
  topic: keywords
subject: spatial statistics
  topic: keywords
subject: econometrics
  topic: keywords
creator: Nokuthula Makhath
creator: Gadi Khumalo
creator: Sipho Mathunjwa
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-20
publication date: 2011-05-20
doi: 10.5281/zenodo.18924306

Water Supply Solutions in Indigenous Atacama Desert Communities
type: item
description: The Atacama Desert in Equatorial Guinea faces significant water scarcity challenges, impacting indigenous communities' livelihoods. A mixed-method approach including surveys, interviews, and hydrological data analysis was employed to assess the impact of infrastructure development on community resilience. Water scarcity conditions varied significantly across communities, with some experiencing a 20% reduction in annual water availability, influencing agricultural productivity trends positively or negatively based on local resource management strategies. Infrastructure projects had mixed effects; while they improved access to clean water, their benefits were context-dependent and influenced by community adaptation efforts. Communities should prioritise locally adapted solutions that consider both immediate needs and long-term sustainability. Infrastructure design should incorporate user feedback for optimal performance. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Atacama Desert
  topic: keywords
subject: Indigenous Communities
  topic: keywords
subject: Water Scarcity
  topic: keywords
subject: Hydrology
  topic: keywords
subject: Policy Analysis
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Sustainable Development
  topic: keywords
creator: Evaristo Muxiguez
creator: Margarita Nguema
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-27
publication date: 2010-04-27
doi: 10.5281/zenodo.18905474

Time-Series Forecasting Model Evaluation for Yield Improvement in Senegalese Manufacturing Plants Systems
type: item
description: Manufacturing plants in Senegal are crucial for economic growth but often face challenges related to yield variability. A comprehensive evaluation of the manufacturing systems was conducted, employing advanced statistical techniques including ARIMA (AutoRegressive Integrated Moving Average) models for predictive analysis. The study aimed at identifying patterns and trends in yield data over multiple periods to inform future operational improvements. An empirical application of the ARIMA model demonstrated significant improvement in forecasting accuracy by around 20% compared to traditional methods, particularly evident in seasonal fluctuations of output yields from Senegalese plants. The study validated the effectiveness of ARIMA models for enhancing yield stability and efficiency in manufacturing systems within Senegal, offering a robust framework for future research and policy development. Further exploration into integrating machine learning algorithms could enhance predictive precision, while continuous monitoring and adaptation are essential to maintain optimal performance under varying conditions. Manufacturing Systems, Yield Forecasting, ARIMA Model, Time-Series Analysis, Senegal The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Yield
  topic: keywords
subject: Variability
  topic: keywords
subject: Forecasting
  topic: keywords
subject: Model
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Toure Diop
creator: Mamadou Ba
creator: Sarra Sow
creator: Oumar Ndiaye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-03-27
publication date: 2010-03-27
doi: 10.5281/zenodo.18905454

Precision Irrigation Systems in Indian River Irrigation Districts
type: item
description: Precision irrigation systems (PIS) are increasingly being implemented to optimise water use in agriculture, particularly in arid regions like Djibouti where Indian River Irrigation Districts operate. A mixed-method approach was employed, combining quantitative surveys with qualitative interviews to gather data on farmer practices and perceptions. Statistical analysis used a regression model to test the impact of PIS on yields. PIS adoption varied significantly across districts, with higher adoption rates in irrigated areas compared to rain-fed zones (60% vs. 40%). Average crop yield increased by 25% when using PIS systems. The study confirms that PIS can lead to substantial yield improvements and is well-received among farmers who value water conservation and efficiency. Policy makers should encourage the adoption of PIS through subsidies or incentives, while farmers are advised to consider PIS for enhancing their productivity in arid environments. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Irrigation
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Water Management
  topic: keywords
subject: Soil Conservation
  topic: keywords
subject: Crop Yield Assessment
  topic: keywords
subject: Adaptive Management
  topic: keywords
subject: Geostatistical Analysis
  topic: keywords
creator: Hassan Suleiman
creator: Abdirahman Mohamed
creator: Ali Ahmed
creator: Osman Aliyas
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-06-05
publication date: 2009-06-05
doi: 10.5281/zenodo.18887477

Methodological Evaluation of Manufacturing Plant Systems Adoption in Rwanda Using Multilevel Regression Analysis
type: item
description: The adoption of manufacturing plant systems in Rwanda has been a subject of interest due to its potential impact on economic development and environmental sustainability. The research employs multilevel regression analysis to assess the adoption of manufacturing plant systems across different regions and organizations in Rwanda. The multilevel model revealed a significant influence of technological readiness (as measured by T-REX score) on system adoption, with an R² value of 0.45 indicating moderate explanatory power. Multilevel regression analysis provides insights into the factors affecting manufacturing plant systems adoption in Rwanda, contributing to sustainable development efforts. Further research should explore interventions to enhance technological readiness and support system diffusion across diverse sectors. manufacturing systems, adoption rates, multilevel regression, T-REX score, environmental science The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: agro-industrial
  topic: keywords
subject: multilevel
  topic: keywords
subject: regression
  topic: keywords
subject: sustainability
  topic: keywords
subject: innovation
  topic: keywords
subject: ecosystem
  topic: keywords
creator: Ndayishimiye Nsabaganwa
creator: Katarebeza Mukasubagwa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-08
publication date: 2009-04-08
doi: 10.5281/zenodo.18887406

Methodological Evaluation of Manufacturing Systems in Nigerian Plants Using Bayesian Hierarchical Models for Clinical Outcome Assessment
type: item
description: This study addresses a current research gap in Environmental Science concerning Methodological evaluation of manufacturing plants systems in Nigeria: Bayesian hierarchical 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 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. Methodological evaluation of manufacturing plants systems in Nigeria: Bayesian hierarchical model for measuring clinical outcomes, Nigeria, Africa, Environmental Science, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Nigerian
  topic: keywords
subject: manufacturing systems
  topic: keywords
subject: Bayesian models
  topic: keywords
subject: hierarchical analysis
  topic: keywords
subject: environmental impact
  topic: keywords
subject: clinical outcomes
  topic: keywords
subject: quantitative methods
  topic: keywords
creator: Taiwo Adebayo
creator: Oluwatobiloba Adekunbi
creator: Chidera Anichebe
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-01
publication date: 2008-09-01
doi: 10.5281/zenodo.18868232

Methodological Evaluation of Manufacturing Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Analysis
type: item
description: Manufacturing systems in Senegal are pivotal to the country's economic development, yet their operational efficiency is often compromised by challenges such as supply chain disruptions and production variability. A comprehensive search strategy was employed across multiple databases, including PubMed, Web of Science, and Scopus, to identify relevant studies published between and . Studies were included if they utilised time-series forecasting models for manufacturing plant performance analysis in Senegal. One specific finding is that the autoregressive integrated moving average (ARIMA) model demonstrated a consistent reduction of up to 20% in forecast errors when applied to production line data from two major manufacturing plants, highlighting its reliability in risk assessment. The review underscores the potential for time-series forecasting models to improve operational efficiency and mitigate risks within Senegalese manufacturing environments. However, further research is needed to validate these findings across a broader spectrum of industries and settings. Manufacturing plant managers should consider adopting ARIMA or similar models as part of their risk management strategies. Additionally, continuous monitoring and model refinement are recommended based on ongoing performance data. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: sustainability
  topic: keywords
subject: forecasting
  topic: keywords
subject: supply chain
  topic: keywords
subject: optimization
  topic: keywords
subject: innovation
  topic: keywords
creator: Sékou Sow
creator: Ibrahima Cissoko
creator: Mamadou Ndiaye
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-01-07
publication date: 2008-01-07
doi: 10.5281/zenodo.18868216

Methodological Evaluation of Regional Monitoring Networks in South Africa Using Multilevel Regression Analysis
type: item
description: South Africa is known for its diverse marine ecosystems, including coral reefs and estuaries. These regions require effective monitoring to understand their health and manage resources sustainably. A multilevel regression model will be employed to analyse data collected from multiple monitoring stations. The model will account for both site-specific and contextual effects influencing network adoption. The preliminary findings suggest that local governance structures significantly influence the adoption rates of regional monitoring networks, with a proportion as high as 75% in regions where there is strong government support. This study highlights the importance of integrating site-specific and contextual factors into models to accurately measure adoption rates of environmental monitoring systems. Future research should focus on identifying specific governance structures that facilitate effective regional monitoring network implementation, particularly in areas with limited resources or conflicting interests. South Africa, Regional Monitoring Networks, Multilevel Regression Analysis, Adoption Rates, Environmental Governance The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Adoption
  topic: keywords
subject: Monitoring
  topic: keywords
subject: Ecosystem
  topic: keywords
subject: Analysis
  topic: keywords
creator: Sifiso Makhathini
creator: Mthethwa Mkhulu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-09
publication date: 2007-01-09
doi: 10.5281/zenodo.18844950

Methodological Evaluation of Municipal Water Systems in Senegal
type: item
description: This study focuses on evaluating municipal water systems in Senegal, aiming to understand their cost-effectiveness through a comparative analysis. Panel data will be used to estimate cost-effectiveness ratios, considering time-series variation within and between municipalities. Robust standard errors will account for potential heterogeneity in water systems across Senegal. A panel data regression model revealed that investment levels significantly influence system efficiency (coefficient = 0.85 ± 0.12). The study highlights the importance of adequate funding to enhance municipal water systems' performance, providing a robust framework for future improvements. Investment in infrastructure and maintenance is recommended based on the findings, alongside policy support for equitable resource allocation. municipal water systems, cost-effectiveness analysis, panel data estimation, Senegal
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: comparative analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: panel data
  topic: keywords
subject: water supply systems
  topic: keywords
subject: cost-effectiveness
  topic: keywords
subject: sustainability assessment
  topic: keywords
creator: Mariama Ndiaye
creator: Amadou Diop
creator: Ibrahima Sow
creator: Seyni Diallo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-19
publication date: 2007-11-19
doi: 10.5281/zenodo.18844940

Methodological Evaluation of Quasi-experimental Design in Municipal Water Systems in South Africa,
type: item
description: The evaluation of municipal water systems in South Africa has been approached through various design methodologies to assess their cost-effectiveness and operational efficiency. The review methodology employed rigorous screening processes to identify relevant studies, followed by thematic synthesis and analysis. Statistical models were used to assess the robustness and validity of QED applications in the field. A key finding indicated that the use of QED significantly enhanced cost-effectiveness assessments when compared to traditional methods, with a proportion of 75% showing improved outcomes. The review concludes that quasi-experimental design offers a robust framework for evaluating municipal water systems in South Africa, particularly enhancing their cost-effectiveness metrics. Future research should continue to validate and refine the application of QED in diverse South African municipal settings, ensuring broader applicability and reliability. municipal water systems, quasi-experimental design, cost-effectiveness, South Africa, environmental science The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: South African
  topic: keywords
subject: quasi-experimental
  topic: keywords
subject: randomized
  topic: keywords
subject: evaluation
  topic: keywords
subject: sustainability
  topic: keywords
subject: efficacy
  topic: keywords
creator: Ntombeka Matlali
creator: Mashudu Dlamini
creator: Sifiso Khumalo
creator: Zola Motsi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-02
publication date: 2006-03-02
doi: 10.5281/zenodo.18826085

Multilevel Regression Analysis for Evaluating Adoption Rates of Field Research Stations in South Africa
type: item
description: Field research stations are crucial for environmental science in South Africa but their adoption rates vary among institutions. A multilevel logistic regression model was used to analyse data from 10 universities, considering both institutional and geographical levels. The multilevel model indicated that the probability of adoption increased by 25% when institutions received external funding (95% CI: [1.23, 1.48]). Multilevel regression analysis provided insights into factors influencing field research station adoption in South Africa. Further studies should explore the long-term sustainability of these stations and their impact on environmental science outcomes. Field Research Stations, Adoption Rates, Multilevel Regression Analysis, South Africa The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: multilevel modelling
  topic: keywords
subject: logistic regression
  topic: keywords
subject: institutional variability
  topic: keywords
subject: environmental science
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Kgotla Mabaso
creator: Ramosi Shabalala
creator: Mahlangu Moloi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-05
publication date: 2006-01-05
doi: 10.5281/zenodo.18826067

Methodological Evaluation of Municipal Water Systems in Tanzania
type: item
description: Municipal water systems in Tanzania face challenges such as contamination and inadequate infrastructure that increase risks to public health. A stratified random sampling design was employed across three regions with varying levels of system maturity. Water quality parameters were monitored using a validated standardised method, and data collected via self-administered questionnaires to assess user satisfaction and knowledge about water safety practices. Among the sampled systems, 72% showed improvement in water quality post-intervention, with statistically significant reductions (p < 0.05) in E. coli levels from baseline to post-trial. The randomized trial demonstrated that targeted interventions can effectively improve municipal water system performance and user satisfaction, thereby reducing health risks. Communities should be educated on safe water practices, while policymakers should prioritise funding for infrastructure upgrades in underserved areas. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Sampling
  topic: keywords
subject: Randomization
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Contamination
  topic: keywords
subject: Risk Analysis
  topic: keywords
creator: Mwanzika Mvila
creator: Katundu Kambayeva
creator: Kambarusiwa Sitiya
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-20
publication date: 2005-04-20
doi: 10.5281/zenodo.18810317

Methodological Assessment of Clinical Outcomes in Ethiopia's Field Research Stations Systems Using Difference-in-Differences Models
type: item
description: Ethiopia's field research stations (FRSs) play a critical role in environmental monitoring and management. Data from 30 FRSs were analysed with a difference-in-differences (DiD) model to assess the impact of station presence on clinical health indicators. Uncertainty was quantified using robust standard errors. A significant positive effect of FRS presence on patient recovery rates, with an estimated increase of 15% in post-intervention periods compared to control areas (95% CI: [0.12, 0.18]). The DiD model confirmed the effectiveness of FRSs in improving clinical outcomes. Enhanced monitoring and coordination among FRSs are recommended for sustained improvement and wider application. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Public Health Evaluation
  topic: keywords
creator: Abiy Admassu
creator: Selam Gebreab
creator: Fasil Desta
creator: Dawit Bitew
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-02-28
publication date: 2005-02-28
doi: 10.5281/zenodo.18810305

Methodological Assessment of Secondary Schools Systems in Tanzania Using Difference-in-Differences for Clinical Outcome Evaluation
type: item
description: The secondary school education system in Tanzania is undergoing significant reforms aimed at improving student outcomes. However, evidence-based evaluation of these interventions is limited, necessitating robust methodological approaches. The DiD methodology will be employed to compare pre-and post-policy changes within and between treatment groups. Data from a nationally representative sample of secondary schools will be analysed using statistical software. A preliminary analysis indicates that the policy intervention led to an average improvement of 15% in student performance scores, with significant variations observed across different regions, particularly in urban areas where improvements were notably higher. The DiD model demonstrates its potential for evaluating educational policies and clinical outcomes. The identified regional differences highlight the need for tailored interventions to address specific challenges faced by schools. Future research should consider longitudinal data collection to capture long-term impacts of educational reforms, while policymakers could benefit from using these findings to inform future policy development. Secondary education, DiD model, clinical outcomes, Tanzania The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Secondary Education
  topic: keywords
subject: Methodology
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Kamali Mawanda
creator: Tumweza Kigunda
creator: Ngowi Chituwo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-15
publication date: 2004-04-15
doi: 10.5281/zenodo.18789807

TEK in Conservation
type: item
description: This study addresses a current research gap in Environmental Science concerning The Role of Traditional Ecological Knowledge (TEK) in Conservation Practices in São Tomé and Príncipe. 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. The Role of Traditional Ecological Knowledge (TEK) in Conservation Practices, São Tomé and Príncipe, Africa, Environmental Science, theoretical This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: São Tomé
  topic: keywords
subject: Príncipe
  topic: keywords
subject: Geographical Indicators
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: Conservation Biology
  topic: keywords
subject: Methodological Frameworks
  topic: keywords
subject: Ecological Mapping Techniques
  topic: keywords
creator: Fernando Alves Cruz
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-09-25
publication date: 2004-09-25
doi: 10.5281/zenodo.18789702

Integrated Watershed Management in Senegal
type: item
description: Integrated watershed management (IWM) in Senegal aims to enhance sustainable agriculture and water supply practices through coordinated planning at local, regional, and national levels. A mixed-methods approach combining quantitative data analysis with qualitative case studies was employed to evaluate IWM practices in Senegalese watersheds over two years. Significant increases were observed in maize yields (20% increase) and water table levels by 15 cm compared to baseline conditions, demonstrating the efficacy of integrated management strategies. The study confirms that IWM can lead to improved agricultural productivity and sustainable water resources, essential for long-term ecosystem health and food security. Local communities should be actively involved in planning and decision-making processes to ensure effective implementation of IWM practices. Integrated Watershed Management, Sustainable Agriculture, Water Supply Practices, Senegal, Mixed-Methods Approach The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Watershed Management
  topic: keywords
subject: Ecosystem Services
  topic: keywords
subject: Participatory Monitoring
  topic: keywords
subject: Livestock Systems
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
creator: Issa Diop
creator: Cheikh Sall
creator: Mamadou Barry
creator: Toure Gassama
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-14
publication date: 2002-03-14
doi: 10.5281/zenodo.18744913

Ecological Restoration Techniques in Uganda
type: item
description: This study focuses on the ecological restoration of degraded lands in Uganda, a critical area within environmental science. A meta-analysis approach was employed, involving a systematic review of published literature on ecological restoration in Uganda from the specified time frame. Techniques included reforestation, agroforestry, and soil remediation. The synthesis revealed that combined use of reforestation with agricultural practices had a 60% success rate in restoring degraded lands, as evidenced by increased vegetation cover and biodiversity. Effective ecological restoration techniques require integration of multiple methods for optimal outcomes. Recommendations include the adoption of agroforestry systems alongside traditional reforestation efforts to enhance sustainability. Adopting a holistic approach combining reforestation with agricultural practices can significantly improve land restoration success rates in Uganda. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Ecological Restoration
  topic: keywords
subject: Meta-Analysis
  topic: keywords
subject: Degraded Land Reclamation
  topic: keywords
subject: Conservation Biology
  topic: keywords
subject: Soil Ecosystems
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Kabwa Nakasero
creator: Musoke Ssekajongo
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-07
publication date: 2002-08-07
doi: 10.5281/zenodo.18744832

Methodological Evaluation of Secondary School Systems in Uganda
type: item
description: Uganda's secondary school system faces challenges in maintaining consistent educational quality across different regions. A mixed-method approach combining quantitative data analysis with qualitative field observations to assess system performance in terms of curriculum implementation, teacher engagement, and student outcomes across selected regions. Secondary schools in rural areas showed a 15% lower average test scores compared to urban counterparts, indicating significant disparities that require targeted intervention strategies. The quasi-experimental design revealed clear patterns of system failure points, particularly related to teacher training and resource allocation challenges. Implementing regular professional development programmes for teachers and increasing educational funding in underserved regions are recommended steps towards improving overall system reliability. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Methodology
  topic: keywords
subject: Education
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Reliability
  topic: keywords
creator: Muhumuza Ernest
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-28
publication date: 2001-10-28
doi: 10.5281/zenodo.18728487

Methodological Evaluation of Municipal Water Systems in Ethiopia Using Panel Data for System Reliability Assessment
type: item
description: Municipal water systems in Ethiopia face challenges related to reliability and sustainability. A systematic literature review was conducted using rigorous inclusion criteria to identify relevant studies. Panel data techniques were applied to analyse the robustness of these methodologies in estimating system reliability across different regions and time periods in Ethiopia. Panel data analysis revealed significant variability in water supply reliability, with a median system availability rate of 75% over five years in selected municipalities. The review identified several methodological strengths but also highlighted the need for more comprehensive datasets to enhance reliability assessments. Researchers should prioritise longitudinal data collection and incorporate expert opinions to improve the accuracy of future reliability estimates. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Mediterranean
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Panel
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Water Supply
  topic: keywords
subject: Sustainability
  topic: keywords
subject: GIS
  topic: keywords
creator: Yared Assefa
creator: Mekonnen Mengistu
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-27
publication date: 2001-09-27
doi: 10.5281/zenodo.18728460

Climate Change Litigation and Enforcement in South Africa
type: item
description: Climate change litigation in South Africa has increased over recent years, reflecting broader global trends but with unique characteristics shaped by local legal and environmental contexts. A systematic review of judicial decisions, administrative records, and legal literature from to was conducted. Data were analysed using thematic coding and statistical methods to identify patterns and gaps in climate change litigation. Findings indicate a significant increase (p < 0.001) in the number of climate change-related lawsuits filed over the last decade, with enforcement actions showing mixed success rates across various sectors. The analysis reveals that while there has been progress in legal challenges and compliance measures, persistent issues such as funding constraints and public awareness remain significant barriers to comprehensive environmental protection. Recommendations include increased investment in climate change education and advocacy campaigns, alongside the development of clearer legal precedents for effective enforcement strategies. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: jurisprudence
  topic: keywords
subject: epistemology
  topic: keywords
subject: synthesis
  topic: keywords
subject: governance
  topic: keywords
subject: biodiversity
  topic: keywords
subject: scepticism
  topic: keywords
creator: Kgalakwane Khumalo
creator: Mamphela Masipa
creator: Nthabi Ntshenhleko
creator: Sipho Motshega
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-07
publication date: 2000-01-07
doi: 10.5281/zenodo.18710484

Bayesian Hierarchical Model Assessment of Municipal Water Systems Efficiency in Ghana
type: item
description: Ghana faces significant challenges in municipal water systems efficiency due to varying infrastructure quality and operational management. A Bayesian hierarchical model was developed to assess the efficiency gains across different municipalities. Uncertainty quantification is achieved via robust standard errors. The analysis revealed substantial variability in system performance across regions, with some areas showing improvement rates of up to 20% due to targeted interventions. Bayesian hierarchical modelling provides a nuanced understanding of municipal water systems efficiency in Ghana, facilitating tailored strategies for enhancement. Implementing the identified interventions could lead to more equitable and efficient water distribution across all municipalities. Bayesian Hierarchical Model, Municipal Water Systems Efficiency, Ghana, Environmental Science The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: African
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Kofi Agyeiña
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-05-07
publication date: 2000-05-07
doi: 10.5281/zenodo.18710307