An investigation into the topical and systemic safety and efficacy of a new carbohydrate derived fulvic acid (CHD-FA) product

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Improving the effectivness of audit committee: a comparative analysis of audit committee codes in US, UK and Egypt by Sarsam, Auday Sabri Tawfeek

“…Four hypotheses were developed and tested to assess the effect of Audit Committee characteristics including establishment and role, resources, skills and experience, Audit Committee relation with Board of Directors, financial reporting, internal control, whistle-blowing, internal audit function, external audit, annual audit cycle, and communication with shareholders on the effectiveness of the Audit Committee. …”
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Induced pluripotent stem cells derived from mouse germ cells by Khan, Nora

“…Embryonic-like stem cells from postnatal testes have shown that they can undertake most if not all, the functions of embryonic stem cells. …”
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Changes in countermovement jump performance and the force-time waveform after anterior cruciate ligament reconstruction

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The acquisition of Afrikaans phonemes in children aged 24-72 months

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A machine learning hybrid approach to forecasting equity returns volatility: A South African perspective. by Tloubatla, Tabataba Simon

“…This field has moved from simple econometric methodologies like Moving Averages (MA), ARCH-type models and stochastic volatility, to more complex models like LSTM (Long-Short-Term-memory) and SVM (Support Vector Machines) (specifically machine learning algorithms). …”
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The impact of strategic agility on organisational performance moderated by digital transformation in firms within the city of Johannesburg South Africa

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The design of a data model (DM) for managing durability index (DI) results for national road infrastructure by Govender, Daniel

“…Lastly, a method is proposed using joint probability density functions of Durability Index (DI) test results and the achieved cover depth to calculate the probability that both random variables are out of specification limits.…”
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Characterization of municipal waste waters by Mbewe, Alfred, Mbewe, Alfred

“…In this research project, the principal objective was to develop simple accurate procedures to quantify the influent wastewater COD fractions. A batch test method has been developed to quantify the five influent COD fractions; namely heterotrophic active biomass, readily biodegradable COD, slowly biodegradable COD, unbiodegradable particulate COD and unbiodegradable soluble COD. …”
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Enhancing digital text collections with detailed metadata to improve retrieval

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Acquired brain injury and the unraveling of theory of mind: exploring the role of personality change and spatial cognition by Mosdell, Jill

“…Thirdly, to analyze ToM task performance in RHD individuals, especially in tasks like the Faux Pas test, controlling for executive functioning and intelligence. …”
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Molecular genetics of arsenic resistance of the biomining bacterium Acidithiobacillus ferrooxidans by Butcher, Bronwyn Gwyneth

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Hydrodynamic added mass determination and attitude estimation of the Seahog - a remotely-operated underwater vehicle by Ogundiran, John Olaoluwa

“…Prior to the commencement of this project, the Seahog was in a state where the basic functional units such as the thrusters, cameras, lights and power and communication systems were tested and installed. …”
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DiD Warehouse

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The role of self-efficacy in the careers of women in the field of Science Technology Engineering and Mathematics (STEM)

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Development of satellite subsystems for use in a bench satellite by Jeffrey, Samuel

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A case study of secondary school mathematics teachers evaluating their classroom-based assessments for the purpose of teaching for mathematical proficiency by Le Roux, Jean-Pierre

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High bandwidth cherry hooper flash ADC in 0.13 µm SiGe BiCMOS

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Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells by Msipa, Sibongiseni Letticia

“…Background: Accurate prediction of protein subcellular localization is critical for understanding protein function and guiding experimental research. Recent advances in deep learning have enabled high-throughput image-based methods to tackle this problem by leveraging large-scale immunofluorescence microscopy datasets. …”
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