Deep Learning-Based Brain Tumour Detection and Classification by Liza, Ansu

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Contributions to Long-Term Electricity System Expansion Planning Through the Systematic Treatment of Data Uncertainty and Operational Assumptions by Auret, Christina

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In silico design of selective high affinity ligands against HCV using novel computational diology tools by Al Olabi, Reem Rafik

“…In addition, blocking the complexation of NS3 with the NS4A co-factor will render it non functional and thus block the replication process and disrupt the HCV life cycle. If a reliable E2 homology model was developed based on different studies and validations, it could help generate selective high affinity ligands that block the earliest phase of the HCV life cycle.…”
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End-of-life in South African product life cycle assessment by Rodseth, Clare Josephine

“…This result implies that if landfill disposal is modelled over the long-term, the potential impacts of the process has less to do with site-specific conditions than it does to do with the intrinsic properties of the material itself. …”
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Sensory quality control in food companies: towards improving knowledge, attitudes and practices assessment as well as sensory quality management

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Longitudinal vehicle dynamics control for improved vehicle safety

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Strategic thinking by non-government organisations for sustainability : a review of the logical framework approach by Muspratt-Williams, Angela

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Validation of numerical prediction of bone ingrowth into cementless implants by Galgut, Warren

“…Nevertheless, the finite element method was assessed as being a tool with great potential, and modifications to the present model may provide more reliable results. A time study was also undertaken, whereby the tissue density was evaluated at various periods after the operation. …”
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Experimental Insights into Friction Losses of Post-Tensioned Precast Full-Scale Girders by Serry, Mostafa

“…Through this on-site investigation, the thesis provides empirical evidence highlighting that the friction losses occurring during the tensioning process are more pronounced and develop more rapidly than conventional models and standards predict. …”
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The brain age gap in social anxiety disorder by Blake, Kimberly Vanessa

“…This should be verified in future research by using multiple different machine learning models based on different feature sets, to obtain more reliable and robust brain age estimates.…”
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Predicting stage performance of a multi-stage centrifugal compressor using the overall compressor performance characteristic

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The feasibility of implementing online dispute resolution as a distinct method of dispute resolution on the African continent by Cupido, Robin Vicky

“…Online Dispute Resolution (ODR) has been identified as such a system, a dispute resolution process which is in large part conducted through online systems or through the use of technology. …”
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The Removal of False Signals from Convolutional Neural Networks by Burger, Leon Eldon

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The evaluation of polarization parameters as quality predictors for zinc electroplated from acidic sulphate solutions

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Finding Neverland? Artificial Intelligence and the Jurisprudence of Legal Certainty by Zaky, Omar

“…I further argue that, inversed-AI models possess inherent inadequacies and, consequently, are at fundamental odds with the decision-making process; thus, preventing them from being reliable indicators of AI’s potential in the legal process. …”
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The development of an empirical enterprise risk management values scale accounting for the effect of culture in emerging market managers by Linke, Arthur

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A managerial decision support tool for the use of cryptocurrency mining to hedge renewable energy investments by Vicente, Riccardo Piero

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Robust time spectral methods for solving fractional differential equations in finance

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Differences in the quality of school-based assessment : evidence for Grade 9 Mathematics achievement

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The influence of leader behaviour, psychological empowerment, job satisfaction, and organizational commitment on turnover intention by Dhladhla, Thamsanqa John

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