An application of an entropy principle to short term interest rate modelling

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Proposing the variable finance capacity model for fundamental moments in turnarounds

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Risk-return portfolio modelling by Gilbert, Emmeleen Ulita

“…The Troskie-Hossain innovation to the Sharpe Index model relaxes this assumption. We evaluate the Troskie-Hossain model relative to the Sharpe Index Model and Markowitz portfolio, and find that the Troskie-Hossain model approximates the Markowitz efficient frontier and optimal portfolio very closely. …”
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Modelling the dynamics of the bitcoin blockchain by Mwale, Mabvuto

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Developments in anaerobic digestion modelling by Ghoor, Tasneem

“…Without adequate modelling of AD dynamics, the AD model cannot be used to model digester start-up, digester failure or even upflow anaerobic sludge bed (UASB) reactors (which have temporary failure conditions at the bottom of the bed). …”
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Effect of numerical modelling assumptions on the simulated corneal response during Goldmann applanation tonometry

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A pharmacometric approach to optimal use of second line drugs for multidrug-resistant tuberculosis by Court, Richard Gray

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Nutritional requirements and survival of the red wine spoilage yeast Brettanomyces bruxellensis by Smith, Brendan Daniel

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Optimal reliability-based design of bulk water supply infrastructure-incorporating pumping systems by Papathanasiou, Michael

“…This was seen as necessary owing to the vast spectrum of influences and the interrelation of parameters that constitute a bulk water supply system. A model developed by Chang & van Zyl (2012) sought to address this inefficiency by optimizing a bulk water supply system, with the core objectives of cost and reliability. …”
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Optimal asset allocation for South African pension funds under the revised Regulation 28 by Koegelenberg, Frederik Johannes

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Ontleding en optimering van die logistieke stelsel van 'n ondergrondse steenkoolmyn by Esterhuysen, Daniel George

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Development of titanium alloys for laser powder bed fusion with the use of d-optimal design by Barnard, Christoffel Jacobus

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Optimizing COVID-19 control measures using multi-objective deep reinforcement learning by Folarin, Arinze Lawrence

“…The results of two case studies, one using a Pareto conditioned network on COVID-19 data from Belgium and the other using a Deep Q-Network, Goal-DQN, and Non-dominated Sorting Genetic Algorithm (NSGA-II) on COVID-19 data from France, are evaluated using both binomial (Stochastic) and Ordinary Differen- tial Equation mathematical models. The study highlights the potential of multi-objective deep reinforcement learning as a method of optimizing public health interventions by shedding light on the optimum COVID-19 control methods for various scenarios and models. …”
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The relationship between authentic leadership, optimism, self-efficacy and work engagement : an exploratory study by Roux, Shayne

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LABCAT: locally adaptive Bayesian optimization using principal-component-aligned trust regions by Visser, Emile

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Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff

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Optimal approach to energy management and gas delivery of a compressed natural gas station

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Time series forecasting using dynamic particle swarm optimizer trained neural networks

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Optimal loan portfolio (A case study of Atweaban Rural Bank, Duayaw Nkwanta) by Kwarteng, Ernest

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