Geelong Football Club

About: Geelong Football Club is a based out in . It is known for research contribution in the topics: Population & Wool. The organization has 1503 authors who have published 1826 publications receiving 34162 citations. The organization is also known as: Geelong Cats.

Epizootic haematopoietic necrosis virus: purification and classification.

Abstract: . Epizootic haematopoietic necrosis virus (EHNV) has been isolated from redfin perch, Perca fluviatilis L., and cultured rainbow trout, Oncorhynchus mykiss (Walbaum), in Victoria and New South Wales, Australia. On the basis of virion size, icosahedral morphology and ultrastructural characteristics of virus-infected cells, EHNV was designated as an iridovirus. The following observations outlined in this paper confirm the designation: (1) The number and complexity of proteins in purified EHNV and the ordered appearance of virus-specific proteins in infected cells are similar to that described for the iridovirus, frog virus 3 (FV3). (2) EHNV isolated from the cytoplasm of infected cells contains a lipid membrane associated with 7–9 nm capsomeric subunits containing a 52-kD protein. (3) The morphogenesis of EHNV within cytoplasmic inclusion bodies resembles that of FV3 and a piscine iridovirus isolated from goldfish, Carassius auratus (L.) (4) EHNV also resembles FV3 in its association with the cytoskeleton of infected cells. (5) EHNV DNA, like that of other iridoviruses, is resistant to digestion with HpaII, a restriction endonuclease which does not cleave DNA at CCGG sequences where the internal cytosine is methylated.

A Study of Fabric-drape Behaviour with Image Analysis Part I: Measurement, Characterisation, and Instability

Abstract: An image-analysis method for drape measurement is investigated. The image-analysis method is rapid and precise and allows multiple measurements to be made. The drape-distance ratio is proposed as an alternative measure of drape. The repeatability of drape values is investigated. Drape values are influenced by the number of drape nodes, which is in turn influenced by the initial state of the fabric. Repeated measurements show that the distribution of the number of nodes is variable. In order to use the drape values as the factor describing the aesthetic appearance of a fabric, it is necessary to measure drape values many times. The drape value for the most frequent node distribution is suggested as the standard drape value to reduce the number of tests. With this method, the time-dependence of the drape behaviour of a fabric is also observed.

Optimisation of nonlinear motion cueing algorithm based on genetic algorithm

Abstract: Motion cueing algorithms (MCAs) are playing a significant role in driving simulators, aiming to deliver the most accurate human sensation to the simulator drivers compared with a real vehicle driver, without exceeding the physical limitations of the simulator. This paper provides the optimisation design of an MCA for a vehicle simulator, in order to find the most suitable washout algorithm parameters, while respecting all motion platform physical limitations, and minimising human perception error between real and simulator driver. One of the main limitations of the classical washout filters is that it is attuned by the worst-case scenario tuning method. This is based on trial and error, and is effected by driving and programmers experience, making this the most significant obstacle to full motion platform utilisation. This leads to inflexibility of the structure, production of false cues and makes the resulting simulator fail to suit all circumstances. In addition, the classical method does not take minimisation of human perception error and physical constraints into account. Production of motion cues and the impact of different parameters of classical washout filters on motion cues remain inaccessible for designers for this reason. The aim of this paper is to provide an optimisation method for tuning the MCA parameters, based on nonlinear filtering and genetic algorithms. This is done by taking vestibular sensation error into account between real and simulated cases, as well as main dynamic limitations, tilt coordination and correlation coefficient. Three additional compensatory linear blocks are integrated into the MCA, to be tuned in order to modify the performance of the filters successfully. The proposed optimised MCA is implemented in MATLAB/Simulink software packages. The results generated using the proposed method show increased performance in terms of human sensation, reference shape tracking and exploiting the platform more efficiently without reaching the motion limitations.

Metagenomic characterisation of avian parvoviruses and picornaviruses from Australian wild ducks

Abstract: Ducks can shed and disseminate viruses and thus play a role in cross-species transmission. In the current study, we detected and characterised various avian parvoviruses and picornaviruses from wild Pacific black ducks, Chestnut teals, Grey teals and Wood ducks sampled at multiple time points from a single location using metagenomics. We characterised 46 different avian parvoviruses belonging to three different genera Dependoparvovirus, Aveparvovirus and Chaphamaparvovirus, and 11 different avian picornaviruses tentatively belonging to four different genera Sicinivirus, Anativirus, Megrivirus and Aalivirus. Most of these viruses were genetically different from other currently known viruses from the NCBI dataset. The study showed that the abundance and number of avian picornaviruses and parvoviruses varied considerably throughout the year, with the high number of virus reads in some of the duck samples highly suggestive of an active infection at the time of sampling. The detection and characterisation of several parvoviruses and picornaviruses from the individual duck samples also suggests co-infection, which may lead to the emergence of novel viruses through possible recombination. Therefore, as new and emerging diseases evolve, it is relevant to explore and monitor potential animal reservoirs in their natural habitat.