105,748 research outputs found
Slow Fashion and Sustainability: The Luxury Impact
No full textThe fashion industry is contributing to today's sustainability challenge in a number of ways. Despite all the advantages of modernization, the pace of life is getting frantic and societal behaviour is in conflict with natural resources. Thus, an urgent need arises to ensure quality in production and improve social and environmental conditions. In this vein, slow fashion emerges as a revolutionary process, which is sensitive to the impact that production and distribution have on society and ecosystems. This chapter contributes an original discussion by exploring how luxury fashion could be valuable for long-term sustainability. While luxury fashion is growing fast, it is interesting to ask to what extent luxury fashion could have a positive impact on sustainability due to quality, heritage and artisan skills. This chapter looks deeply into (i) how luxury fashion could enhance sustainability through sustainable sourcing and local manufacturing, and (ii) how the slow fashion concept could be further endorsed through luxury
Buckley, L G, 214937
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/374517Surname: BUCKLEY
Given Name(s) or Initials: L G
Military Service Number or Last Known Location: 214937
Missing, Wounded and Prisoner of War Enquiry Card Index Number: SEA-2643185892
Item: [2016.0049.06825] "Buckley, L G, 214937
Compluriscutula vetulum Poinar and Buckley 2008
No full text1. Compluriscutula vetulum Poinar and Buckley, 2008. A fossil species whose hosts are unknown. M: unknown F: unknown N: unknown L: Poinar and Buckley (2008) Redescriptions: none Genus CornupalpatumPublished as part of Guglielmone, Alberto A., Petney, Trevor N. & Robbins, Richard G., 2020, Ixodidae (Acari: Ixodoidea): descriptions and redescriptions of all known species from 1758 to December 31, 2019, pp. 1-322 in Zootaxa 4871 (1) on page 133, DOI: 10.11646/zootaxa.4871.1.1, http://zenodo.org/record/442334
Compluriscutula vetulum Poinar & Buckley 2008
No full text1. Compluriscutula vetulum Poinar & Buckley, 2008. A fossil species.Published as part of Guglielmone, Alberto A., Nava, Santiago & Robbins, Richard G., 2023, Geographic distribution of the hard ticks (Acari: Ixodida: Ixodidae) of the world by countries and territories, pp. 1-274 in Zootaxa 5251 (1) on page 69, DOI: 10.11646/zootaxa.5251.1.1, http://zenodo.org/record/770419
Emergent associative memory as a local organising principle for global adaptation in adaptive networks
No full textComplex adaptive systems composed of self-interested agents can in some circumstances self-organise into structures that enhance global adaptation or efficiency. However, the general conditions for such an outcome are poorly understood. In contrast, sufficient conditions for artificial neural networks to form structures that perform collective computational processes such as associative memory/recall, generalisation and optimisation, are well-understood. While such global functions within a single agent or organism may arise from mechanisms (e.g., Hebbian learning) that were selected for this purpose, agents in a multi-agent system have no obvious reason to produce such global behaviours when acting from individual interest. However, Hebbian learning is actually a very simple and fully-distributed habituation or positive feedback principle. Here we use an adaptive network model in which agents can modify their behaviours (states) but also their interactions with other agents (network topology). We show that when self-interested agents can modify how they are affected by other agents then, in adapting these inter- agent relationships to maximise their own utility, they will necessarily alter them in a manner homologous with Hebbian learning. When the agents adapt their behaviours relatively quickly, and their relationships with other agents relatively slowly, we find that the overall network dynamics are modified to find better adapted states more reliably. This separation in timescales causes the state dynamics to spend most of their time at attractors. Thus, the network develops an associative memory that amplifies a subset of its own attractor states. This self-organised modification to the network dynamics enhances its ability to resolve conflicts between agents. Moreover, we show that the system is not merely ‘recalling’ high quality states that have been previously visited, but ‘predicting’ their location by generalising over local attractor states that have already been visited. Thus, globally adaptive behaviours can emerge from self-organising adaptive networks that follow organisational principles familiar in connectionist models of organismic learning
Global adaptation in networks of selfish components: emergent associative memory at the system scale
No full textIn some circumstances complex adaptive systems composed of numerous self-interested agents can self-organise into structures that enhance global adaptation, efficiency or function. However, the general conditions for such an outcome are poorly understood and present a fundamental open question for domains as varied as ecology, sociology, economics, organismic biology and technological infrastructure design. In contrast, sufficient conditions for artificial neural networks to form structures that perform collective computational processes such as associative memory/recall, classification, generalisation and optimisation, are well-understood. Such global functions within a single agent or organism are not wholly surprising since the mechanisms (e.g. Hebbian learning) that create these neural organisations may be selected for this purpose, but agents in a multi-agent system have no obvious reason to adhere to such a structuring protocol or produce such global behaviours when acting from individual self-interest. However, Hebbian learning is actually a very simple and fully-distributed habituation or positive feedback principle. Here we show that when self-interested agents can modify how they are affected by other agents (e.g. when they can influence which other agents they interact with) then, in adapting these inter-agent relationships to maximise their own utility, they will necessarily alter them in a manner homologous with Hebbian learning. Multi-agent systems with adaptable relationships will thereby exhibit the same system-level behaviours as neural networks under Hebbian learning. For example, improved global efficiency in multi-agent systems can be explained by the inherent ability of associative memory to generalise by idealising stored patterns and/or creating new combinations of sub-patterns. Thus distributed multi-agent systems can spontaneously exhibit adaptive global behaviours in the same sense, and by the same mechanism, as the organisational principles familiar in connectionist models of organismic learning
Jeremiah Buckley
No full text29Born 11 November 1882 in Nimmitabel. John and Catherine - Parents.(both deceased)
Jeremiah (Sam) urged by his father to travel, went to China and there he joined the Police Force. He resigned and came home to visit his family in 1913 with the intention of further travel, taking a visit to his father and mother?s homeland of Ireland. He travelled ? but not in the fashion intended. War broke out in the meantime and he enlisted with the Queensland Battalion ? the 15th Australian Infantry Battalion. He was a private by rank No 1517. He was killed in action on October 31, 1915 in the Lone Pine Battle at Gallipoli.
Philpott, 1562 and Lofthouse, 1046 also served in A Company.The SS 'Taiyuan' contingent left on the 4th March 1915 and consisted of Messrs. Neil Boyle; J. T. Johnson; L. P. Weatherby; R.W. Stirling; P. C. Reaby; G. Dickason; Jas. M. MacDonald; G. Classen; J. Buckley and J. Beattie. Northern Territory Times and Gazette reported this list.
Jeremiah was in the Shanghai Light Horse for 2? years. Embarked from Brisbane on board HMAT A60 'Aeneas' on 29 June 1915.Rubber planterAustralian Imperial Force25th Battalion, A Compan
Transformations in the Scale of Behaviour and the Global Optimisation of Constraints in Adaptive Networks
No full textThe natural energy minimisation behaviour of a dynamical system can be interpreted as a simple optimisation process, finding a locally optimal resolution of problem constraints. In human problem solving, high-dimensional problems are often made much easier by inferring a low-dimensional model of the system in which search is more effective. But this is an approach that seems to require top-down domain knowledge; not one amenable to the spontaneous energy minimisation behaviour of a natural dynamical system. However, in this paper we investigate the ability of distributed dynamical systems to improve their constraint resolution ability over time by self-organisation. We use a ‘self-modelling’ Hopfield network with a novel type of associative connection to illustrate how slowly changing relationships between system components can result in a transformation into a new system which is a low-dimensional caricature of the original system. The energy minimisation behaviour of this new system is significantly more effective at globally resolving the original system constraints. This model uses only very simple, and fully-distributed positive feedback mechanisms that are relevant to other ‘active linking’ and adaptive networks. We discuss how this neural network model helps us to understand transformations and emergent collective behaviour in various non-neural adaptive networks such as social, genetic and ecological networks
Sensitivity and stability: A signal propagation sweet spot in a sheet of recurrent centre crossing neurons
No full textIn this paper we demonstrate that signal propagation across a laminar sheet of recurrent neurons is maximised when two conditions are met. First, neurons must be in the so-called centre crossing configuration. Second, the network’s topology and weights must be such that the network comprises strongly coupled nodes, yet lies within the weakly coupled regime. We develop tools from linear stability analysis with which to describe this regime, and use them to examine the apparent tension between the sensitivity and instability of centre crossing networks
A matter of evolutionary life and death: an ecological model of growth and development in Homo erectus
No full textThis thesis investigates the evolutionary ecology of Homo erectus, focussing on the differential impact of the environment on the species' life history strategy. Departing from previous studies in taking an integrated approach, it examines the related factors of age-specific mortality, encephalisation, and the rate and energetic burden of growth, in order to identify the mechanism by which H. erectus adapted to a diverse range of climates and environments, and how thoroughly that adaptation was achieved. An exploration of the environmental tolerance of H erectus is framed within a model that shows regions that comprised the core of the species, where tolerance is highest and conditions are optimum for growth and reproduction, and periphery regions which fall towards the extremes of tolerance and have repercussive effects on encephalisation, juvenile mortality and growth. Life history traits should vary accordingly, allowing the development of a model for the relationship between environmental variation and the differential evolution of H. erectus.The work is organised thematically. Having provided an overview of evolutionary ecology and introduced the concept of paleo-demes as a means of organising, grouping and understanding the fossils of H. erectus, I address the shortcomings of the r-K dichotomy with a study of age-specific mortality. This work is then applied to patterns of encephalisation, and the energetic implications bf increasing brain size are addressed. A comparative study of two modern human populations supports the prediction that stability of environment translates into stability of growth, and these findings are applied to H. erectus. I demonstrate that H erectus exhibited a long-term trend of an increasing cranial capacity, but that this was not uniform across the species and had varying success, with subsequent energetic stress in the young resulting in high juvenile mortality in some areas. I conclude that the model of core and periphery relates to the latitude of the environment, and that H. erectus was an adaptable and flexible species with a number of strategies available to maximise survival in a range of environmental conditions
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