Water properties in the Suva Lagoon, Fiji

The salinity, temperature and turbidity in the lagoon are some important parameters for water quality which are continuously changing with the seasons and need to be studied because they are efficient indicators of variations in the lagoon and can transform the marine ecosystem. Results obtained showed that the salinity near the head of Laucala Bay during the wet-warm season was below 24.8 psu and was 33.7 psu during the drycool season. The temperature range for the Suva Lagoon during the wet-warm season was between 28.0–30.5 °C and between 24.5–25.5 °C during the dry-cool season. The turbidity in the lagoon was always above 3.0 FTU near the river mouths. The model salinity distribution compared well with the observed distribution from field data after the model was validated for salinity distribution

Role of the Calcium Plateau in the Neuronal Injury and Behavioral Morbidities Following Organophosphate Intoxication

Organophosphate (OP) chemicals include nerve agents and pesticides, and there is a growing concern of OP based chemical attacks against civilians. Current antidotes are essential in limiting immediate mortality associated with OP exposure. However, further research is needed to identify molecular mechanisms underlying long-term neurological deficits following survival of OP toxicity in order to develop effective therapeutics. We have developed rat survival models of OP induced status epilepticus (SE) that mimic chronic mortality and morbidity following OP intoxication. We have observed significant elevations in hippocampal calcium levels after OP SE that persisted for weeks following initial survival. Drugs inhibiting intracellular calcium-induced calcium release such as dantrolene, levetiracetam, and carisbamate lowered OP-SE mediated protracted calcium elevations. Given the critical role of calcium signaling in modulating behavior and cell-death mechanisms, drugs targeted at preventing the development of the calcium plateau could enhance neuroprotection, help reduce morbidity and improve outcome following survival of OP SE

Wigner-Seitz cells in neutron star crust with finite range interactions

The structure of Wigner-Seitz cells in the inner crust of neutron stars is investigated using a microcospic Hartree-Fock-BCS approach with finite range D1S and M3Y-P4 interactions. Large effects on the densities are found compared to previous predictions using Skyrme interactions. Pairing effects are found to be small, and they are attenuated by the use of finite range interactions in the mean field.Comment: 11 pages, 5 figure

Issues and mitigations of wind energy penetrated network: Australian network case study

Longest geographically connected Australian power system is undergoing an unprecedented transition, under the effect of increased integration of renewable energy systems. This change in generation mix has implications for the whole interconnected system designs, its operational strategies and the regulatory framework. Frequency control policies about real-time balancing of demand and supply is one of the prominent and priority operational challenge requiring urgent attention. This paper reviews the Australian electricity market structure in presence of wind energy and its governance. Various issues related to increased wind generation systems integration are discussed in detail. Currently applied mitigations along with prospective mitigation methods requiring new or improved policies are also discussed. It is concluded that developing prospective frequency regulation ancillary services market desires further encouraging policies from governing authority to keep pace with current grid transition and maintain its security

Integration of technical equipment in a project driven learning environment

Purpose: This paper describes the integration of technical equipment in a project driven learning environment in the School of Engineering in the Faculty of Science, Engineering and Built Environment at Deakin University, Geelong, Australia. Technical or laboratory equipment is a critical factor when designing learning environments and more so in a project driven learning environment. Important Findings: Deakin University has strong partnerships with industry and the community and with its cloud and located based learning policy has extremely flexible learning environments tailored to the needs of the students, with all the programs being offered in on-campus mode as well as off-campus mode. The off-campus study mode has made it even more important to have flexibility in the usage and access of the technical equipment in the laboratories. Conclusion: The School of Engineering at Deakin University Australia has developed a project-oriented design based learning environment which allows students to learn through design activities while being driven by the deliverables and outputs of a project. The technical equipment is required to be able to be used for traditional laboratory experiments in order to achieve fundamental knowledge requirements as well as project oriented knowledge and practice

Collective Performative Reading

For More Than One Voice (2016–) is a collective reading that investigates how we might speak and listen in more than one voice by means of resonance, polyphony, dissonance, ambiguity, plurality, and embrace. The collective reading is centred around the politics and poetics of the multiplicity of voices in performance and text, where the complexities of voice as representation are investigated

Discrete element simulation of wet granular materials: plastic compression

We use Discrete Element Method (DEM) simulations in three dimensions (3D) to study the quasistatic response of very loose assemblies of frictional spherical grains to an isotropic compression in the presence of a small amount of an interstitial liquid, which gives rise to capillary menisci and attractive forces. Previous results obtained in 2D [8] are generalized to systems that may be observed in the laboratory. We study the influence of the initial assembling process and of various micromechanical parameters on the plastic compression curves, from very loose states assembled at low P∗ to maximally compressed ones in which capillary cohesion is negligible at large P∗. We also show how the plastic response along those compression curves is influenced by rolling resistance in contacts

Capacity building of sea level and climate monitoring in the Pacific region: Fiji case study

In order to enhance capacity building in the Pacific region, and to raise awareness on climate change and sea level issues, teaching and training modules were made available to the Pacific community through the “South pacific sea level and climate monitoring project” funded by AusAID. Numerous training workshops have been conducted through the project since its inception in 1991 and the project is now in its fourth and final phase. It was hoped that the goals of capacity building for the stakeholders on correct information of climate change and sea level have been understood and taken heed of. In addition, “The scientific educational resources and experience associated with the deployment of Argo” (SEREAD) project was also set up especially for ocean science in the Pacific island schools in 2001. However, it has been realized that the data from this project is more relevant to tertiary level rather than to secondary level students. Consequently, a survey was carried out to gauge the students’ outlook towards the physical side of marine science. The survey revealed that more than 80% of both tertiary level and high school non-physical science students decided not to take the physical aspect of marine science sighting reasons that it is either a difficult subject, boring, too hard to understand or difficult to pass in the examination. Even amongst students taking physical science, only about 50% believe that the physical aspect of marine science is enjoyable. A minority of students at USP and high school take science as a subject and a small proportion from them take the physical science. From this scenario, it can be predicted that there will be a shortage of physical science graduates in the future. The confidence of the Pacific community in the work of scientists is built on faith. They appreciate the effect of science on their lives and support it but are unaware of the scientific methods involved. Therefore, for the sustainability of physical aspect of marine science in the future for the Pacific region, public awareness of climate change and sea level is vitally important and it should be widely promoted in the community as a matter of urgency

Investigation of ConViT on COVID-19 Lung Image Classification and the Effects of Image Resolution and Number of Attention Heads

COVID-19 has been one of the popular foci in the research community since its first outbreak in China, 2019. Radiological patterns such as ground glass opacity (GGO) and consolidations are often found in CT scan images of moderate to severe COVID-19 patients. Therefore, a deep learning model can be trained to distinguish COVID-19 patients using their CT scan images. Convolutional Neural Networks (CNNs) has been a popular choice for this type of classification task. Another potential method is the use of vision transformer with convolution, resulting in Convolutional Vision Transformer (ConViT), to possibly produce on par performance using less computational resources. In this study, ConViT is applied to diagnose COVID-19 cases from lung CT scan images. Particularly, we investigated the relationship of the input image pixel resolutions and the number of attention heads used in ConViT and their effects on the model’s performance. Specifically, we used 512x512, 224x224 and 128x128 pixels resolution to train the model with 4 (tiny), 9 (small) and 16 (base) number of attention heads used. An open access dataset consisting  of 2282 COVID-19 CT images and 9776 Normal CT images from Iran is used in this study. By using 128x128 image pixels resolution, training using 16 attention heads, the ConViT model has achieved an accuracy of 98.01%, sensitivity of 90.83%, specificity of 99.69%, positive predictive value (PPV) of 95.58%, negative predictive value (NPV) of 97.89% and F1-score of 94.55%. The model has also achieved improved performance over other recent studies that used the same dataset. In conclusion, this study has shown that the ConViT model can play a meaningful role to complement RT-PCR test on COVID-19 close contacts and patients