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Investigation into potential endocrine disruptive effects of Sceletium tortuosum
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The influence of new ways of working on work engagement and employee well-being during the covid-19 pandemic
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Bond behaviour of deformed steel reinforcement in lightweight foamed concrete
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An evaluation of lime Requirement methods for selected South African soils
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Sub-sampled exponential analysis applied to sparse planar antenna array configurations
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A consideration of certain aspects of standard form contracts and exemption clauses [Microfiche] : standard form contracts, the credit receiver's title to sue ex delicto in instalm...
Published 2023“…Under the nature and categories of standard form contracts only the general characteristics are discussed; no definition is formulated because the widespread usage would necessitate too cumbersome a definition. …”
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Non-Linear diffusion processes and applications
Published 2017“…Using diffusion models it is possible to formulate compact descriptions for the dynamics of real-world processes in terms of stochastic differential equations. …”
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A genetic analysis of biological and economic efficiency of post-weaning feedlot performance in beef cattle
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Wear of aluminium MMCs against automobile friction materials
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Reliability assessment of a prestressed concrete member
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Development of repaglinide microspheres using novel acetylatedstarches of bitter and Chinese yams as polymers
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Volstruis as slagdier : aspekte van groei
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Modulation of starch digestion for productive performance in dairy cows
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Stable and high order accurate finite difference method for the incompressible laminar boundary layer equations
Published 2021“…These applications ranges from the large-scale fluid's flow modelling such as aerodynamics [1], atmospheric-ocean modelling [2] to a simple pipe flows in the petroleum industry [3]. …”
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Exploring scenarios to facilitate the access to 3D printing technology through sustainable product-service systems in the Egyptian maker market
Published 2019“…The research started by covering past work about approaches, opportunities and barriers of the two models through literature review. Then, a collection of international cases of small-scale production were studied further and other case studies in the Egyptian context were formulated. …”
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Price formation under uncertainty
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Improving region based CNN object detector using bayesian optimization
Published 2018“…Although the trained models have high capacity and strong discrimination power, yet inaccurate localization is a major source of error for those detection systems. …”
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