ORCID Profile
0000-0002-0911-9943
Current Organisations
University of South Australia
,
University of New South Wales
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Publisher: Elsevier BV
Date: 04-2023
Publisher: Copernicus GmbH
Date: 27-04-2021
DOI: 10.5194/HESS-25-2261-2021
Abstract: Abstract. The biophysical processes occurring in the unsaturated zone have a direct impact on the water table dynamics. Representing these processes through the application of unsaturated zone models of different complexity has an impact on the estimates of the volumes of water flowing between the unsaturated zone and the aquifer. These fluxes, known as net recharge, are often used as the shared variable that couples unsaturated to groundwater models. However, as recharge estimates are always affected by a degree of uncertainty, model–data fusion methods, such as data assimilation, can be used to inform these coupled models and reduce uncertainty. This study assesses the effect of unsaturated zone models complexity (conceptual versus physically based) to update groundwater model outputs, through the assimilation of actual evapotranspiration rates, for a water-limited site in South Australia. Actual evapotranspiration rates are assimilated because they have been shown to be related to the water table dynamics and thus form the link between remote sensing data and the deeper parts of the soil profile. Results have been quantified using standard metrics, such as the root mean square error and Pearson correlation coefficient, and reinforced by calculating the continuous ranked probability score, which is specifically designed to determine a more representative error in stochastic models. It has been found that, once properly calibrated to reproduce the actual evapotranspiration–water table dynamics, a simple conceptual model may be sufficient for this purpose thus using one configuration over the other should be motivated by the specific purpose of the simulation and the information available.
Publisher: Center for Open Science
Date: 25-11-2022
Abstract: Statistical literacy is a pressing need in modern society, but statistical learning is often inhibited by anxiety towards statistics. This study examines how statistics anxiety is related to other dimensions of students’ attitudes towards statistics, how these interrelations predict statistics anxiety, and how these dimensions change following introductory statistics instruction. Using data from Spain, Canada, and Australia, this study finds that anxiety is negatively related to security-confidence and positively related to motivation, and that the structure of these relationships is consistent across countries as well as before and after statistics instruction. Further, this structure predicts how these dimensions change following statistics training: by the end of an introductory statistics course, students report higher security-confidence and pleasantness but lower anxiety. We conclude by discussing the implications of these results for statistics instruction.
Publisher: MDPI AG
Date: 07-09-2023
Publisher: Elsevier BV
Date: 08-2017
Publisher: University of Szeged
Date: 2016
Publisher: Office of the Academic Executive Director, University of Tasmania
Date: 31-01-2023
DOI: 10.53761/1.20.01.14
Abstract: A student’s transition into higher education or a new learning environment can set the foundation for the remainder of their study, both in perception and academic ability. Mentoring is a transition intervention strategy and most types of these interventions are student peer to peer. However, there is a growing interest in academic involvement in mentoring and consequently this paper is an investigation into the effective implementation of assigning students with an academic staff buddy or mentor in the transition period of their first year of higher education i.e. the Staff Student Buddy System (SSBS). The analysis focusses on using two measures to inform the results by qualitatively analysing the feedback from the students, and quantitatively measuring the difference in academic performance of both student participants and non-participants. The s le of the students come from the University of South Australia, and the qualitative analysis indicated that students enjoyed SSBS, particularly with the ability to ask questions to those that would be teaching them. The quantitative statistical evidence indicated that SSBS could be a positive factor on a student’s Grade Point Average. Overall, the conclusion was that that the combination of the SSBS and these students produced improved academic performance while providing a positive student experience.
Publisher: Element d.o.o.
Date: 2023
Publisher: Informa UK Limited
Date: 29-09-2023
Publisher: Elsevier BV
Date: 02-2014
Publisher: MDPI AG
Date: 14-09-2023
Publisher: Element d.o.o.
Date: 2021
Publisher: Elsevier BV
Date: 09-2012
Publisher: Authorea, Inc.
Date: 08-2023
DOI: 10.22541/AU.169090025.50993277/V1
Abstract: The uniqueness of solutions to boundary value problems are important to understanding real world applications. In this paper, two prominent classes of nabla fractional boundary value problems are investigated and presented with improved weighted norms. This allows the current sufficient conditions in the literature to be relaxed. The approach firstly establishes the equivalent summation representations with their associated Green’s functions with the important inherent properties proven relating to these weight norms. The second component of the approach is via the application of the Banach fixed point theorem with sufficient conditions to establish the uniqueness and existence of solutions to the considered problems on well-defined spaces with respect to novel weighted supremum norms. To illustrate the merit, novelty, and applicability of the established results, two ex les are presented.
No related grants have been discovered for Nicholas Fewster-Young.