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Accounting for the C/city: analyzing Kisumu's fiscal configurations
Published 2019“…The case method allows for the use of a variety of types of data and analytical tools, grounded in contextualized experiences. …”
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The role of political parties in promoting a culture of good governance in Egypt post-2011
Published 2015“…The main objectives of this research were to thoroughly understand the context in which political parties developed in Egypt and analyze the major recognized components of good governance, in order to ultimately assess how newly established political in parties in Egypt can contribute to the promotion of these components in post-2011 Egypt. This allowed to view these parties more in depth and properly assess their role in Egypt’s current transition in relation to extrapolated components of good governance such as transparency, accountability, capacity building, rule of law , participation and representation, effectiveness, among other elements. …”
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An analysis of public accountability policies and practices in South Africa's schooling system from 1994 to 2018
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Hydroformylation of post-metathesis product using rhodium-based catalysts
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True, reliable and valid? : data and community experience in the case of the janitorial service social audit
Published 2016“…Given the City's previous vociferous attacks on the process, I focus on attempts to improve the legitimacy of the social audit through improvements to the data collection method. …”
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Dissecting the genetic bases of severe malaria resistance using genome-wide and post genomewide study approaches
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A post-mortem toxicological investigation: Understanding the role of drugs of abuse in violent fatalities in Cape Town, South Africa
Published 2016“…The first section provides a general idea of the research problem and an initial development of the investigation process. The second section provides a theoretical basis for performing routine toxicological analyses in deaths due to violence, reports important research work conducted in the field worldwide, and emphasizes the need to monitor toxicological data derived from violent fatalities in Cape Town, South Africa. …”
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Pharmacogenomics of sickle cell disease therapeutics: pain and drug metabolism associated gene variants and hydroxyurea-induced post-transcriptional expression of miRNAs
Published 2022“…Sociodemographic and clinical data were collected by means of a structured questionnaire. …”
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A retrospective review (audit) of gynaecological emergency surgery at Groote Schuur Hospital for the period of January to December 2019
Published 2025“…The study was a retrospective descriptive record review of patients who underwent emergency surgery at Groote Schuur Hospital. Data was captured manually and electronically using theatre data base. …”
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Modelling of the achilles and patella tendon forces during treadmill running.
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An explanatory study of work engagement among special needs teachers : the moderating role of job crafting
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EFFECTS OF GUIDED DISCOVERY AND MODEL-LEAD-TEST STRATEGIES ON QUANTITATIVE REASONING SKILLS OF PUPILS WITH LEARNING DISABILITIES IN UYO, NIGERIA
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Machine Learning Multimodal Framework for Fake News Detection and Mitigation
Published 2024“…This integration yielded the TChecker model which could achieve an F1 score of 0.93 compared to 0.91 for state of the art models integrating both social posts and news articles. Additionally, the investigation will delve into the impact of social post metrics like retweets, replies, and likes and user features such as follower count and account age on the performance of fake news detection models. …”
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A retrospective review of the outcome of children presenting to Tygerberg Children’s Hospital with biliary atresia
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A population dynamics model for analysing the effect of rainfall seasonality on vegetation in the Karoo
Published 2025“…The population growth is modelled using state-space models, incorporating both an ecological process model and an observation model. This allows us to account for errors both in the observation of the data as well as in the natural variability in the biological state process that generated the data in order to account for both measurement and process error. …”
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