Comparative cross-species analysis of detailed kinetic models of glycolysis by Du Preez, Franco B.

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Designing a conceptual model for the management of in-Kind donations in NGOs by Goff, Robyn

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Aspects of model development using regression quantiles and elemental regressions by Ranganai, Edmore

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Dynamic catch-effort models for the southern African hake populations by Andrew, P A

“…Possible extensio'l"1s and ·amendme'f"1ts to the dyna<ttic models are suggested. Thest? include the use of Clark's bioeco'l"1omic 1ttodel to review the f 0 , 1 strategy with regard to economic optimality, and the replacement of the traditional Schaefer and Fox for1tts with a n1ore 9eY1erali:i::ed • surplus growth fur1ctio·l"I. …”
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The role of estrogen receptors in fibrosis: in search of therapeutics by Alberts, Janneke

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Targeting uptake of exercise-promoting structured patient education intervention: foundational research and process description of a discrete choice experiment to understand percei... by Ezenwankwo, Elochukwu Fortune

“…Overall, nine choice tasks were deemed sufficient per survey to fit a regression model while minimising time and cognitive burden on the participants. …”
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Fractal analysis and drag-resistance modelling of unconsolidated porous media with inclusion of particle surface roughness by Van Velden, Rocco Joubert

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Performance modelling of an open volumetric receiver CSP plant incorporating rock bed thermal storage by Pitot de la Beaujardiere, Jean-François Philippe

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A cognitive linguistic study of cultural models of age in American English and Egyptian Arabic: A corpus-based approach by Said, Hebatallah

“…For the American English sample (n=200), the web-based corpus GLOWBE was utilized. To reach an equally authentic and rich sample, Web-as Corpus was utilized for the Egyptian Arabic sample (n=179). …”
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Web-based GIS modelling of building-integrated solar photovoltaic system for the City of Cape Town by Adeleke, Adedayo Kelvin

“…This is achieved by developing a unique two-in-one, object-based classification rulesets; (2) estimating and validating the global solar radiation incidence on each roof plane, using a LiDAR-derived elevation model in a python script utilizing the GRASS script library; (3) evaluating the solar photovoltaic potential of each roof plane, using inputs from two previous phases to create a solar photovoltaic potential database; and (4) deploying the solution online to create awareness, by utilizing JavaScript and Hypertext Mark-up Language (HTML) to implement a map mashup, which incorporates tile map and table services. …”
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Influence of various troposphere modelling and estimation techniques on precise position estimation of permanent GPS arrays by Parker, Aslam

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Modelling of a stand alone photovoltaic system with dedicated hybrid battery energy storage system by Vanden Eynde, Nicholas

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Modelling of sanitary hot water energy consumption using adaptive neuro-fuzzy inference systems by Blignault, George William

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The dynamic modelling and development of a controller for a general purpose remotely operated underwater vehicle by Finbow, Maximillian

“…A single state thruster model is developed and verified according to real life test data. …”
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Predicting the effect of biofilm growth on the pressure drop over a biofilter by Van Jaarsveld, Jacoline

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A reduced order modelling methodology for external cylindrical concentrated solar power central receivers by Heydenrych, James

“…However, there are currently no utility-scale sCO2-CSP tower plants in operation. …”
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A data and modelling framework for strategic supply chain decision-making in the petro-chemical industry. by Van Schalkwyk, Willem Tobias

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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images by Fouefack, Jean-Rassaire

“…However, a principled and robust way to combine shape, pose and intensity features has been elusive for four main reasons: 1) heterogeneity of the data (data with linear and non-linear natural variation across features); 2) sub-optimal representation of three-dimensional Euclidean motion; 3) artificial discretization of the models; and 4) lack of an efficient transfer learning process to project observations into the latent space. …”
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images by Fouefack, Jean-Rassaire

“…However, a principled and robust way to combine shape, pose and intensity features has been elusive for four main reasons: 1) heterogeneity of the data (data with linear and non-linear natural variation across features); 2) sub-optimal representation of three-dimensional Euclidean motion; 3) artificial discretization of the models; and 4) lack of an efficient transfer learning process to project observations into the latent space. …”
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Modelling of non-Newtonian fluid flow through and over porous media with the inclusion of boundary effects by Cloete, Maret

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