Uncovering Pacific Pasts

Objects have many stories to tell. The stories of their makers and their uses. Stories of exchange, acquisition, display and interpretation. This book is a collection of essays highlighting some of the collections, and their object biographies, that were displayed in the Uncovering Pacific Pasts: Histories of Archaeology in Oceania (UPP) exhibition. The exhibition, which opened on 1 March 2020, sought to bring together both notable and relatively unknown Pacific material culture and archival collections from around the globe, displaying them simultaneously in their home institutions and linked online at www.uncoveringpacificpasts.org. Thirty‑eight collecting institutions participated in UPP, including major collecting institutions in the United Kingdom, continental Europe and the Americas, as well as collecting institutions from across the Pacific

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Indonesian and Malay are underrepresented in the development of natural language processing (NLP) technologies and available resources are difficult to find. A clear picture of existing work can invigorate and inform how researchers conceptualise worthwhile projects. Using an education sector project to motivate the study, we conducted a wide-ranging overview of Indonesian and Malay human language technologies and corpus work. We charted 657 included studies according to Hirschberg and Manning's 2015 description of NLP, concluding that the field was dominated by exploratory corpus work, machine reading of text gathered from the Internet, and sentiment analysis. In this paper, we identify most published authors and research hubs, and make a number of recommendations to encourage future collaboration and efficiency within NLP in Indonesian and Malay

The effects of Supply Chain Management (SCM) activities and their impact on festival management and the customer experience

As the number of festivals and the need to provide more satisfying customer experiences continue to grow, the challenges faced by festival managers have become more complicated than ever. This means that festival organisers are becoming progressively more reliant on their inter-organisational/delivery partners to sustain and improve their on-going operational activity. Supply Chain Management (SCM) provides a new dimension to a traditional perspective on the management of festivals, as collective co-operation can lead to the provision of superior value to customers. Through data collected from multiple semi-structured interviews with directors and employees at UK-based music events and festival suppliers, this chapter offers insights into how the effective and efficient management of SCM carries additional benefits to festival delivery. Firstly, it illustrates the complexity and multiplicity of supply chains in the festival industry and highlights the reliance on trust, customer visibility and communication within the overall supply chain. Secondly, the chapter applies two models from the mainstream SCM literature, namely the Bullwhip Effect and the Kraljic’s Purchasing Portfolio Model, to reveal the complex interactions between individual organisations in the supply chain

Newsletter no. 45

INHIGEO produces an annual publication that includes information on the commission's activities, national reports, book reviews, interviews and occasional historical articles.N

Health of People, Places and Planet. Reflections based on Tony McMichael’s four decades of contribution to epidemiological understanding

This book has three main goals. The first is to celebrate the work of a great public health figure, the late A.J. (Tony) McMichael (1942–2014). The second is to position contemporary public health issues in an interdisciplinary context and in ways that highlight the interdependency between the environment, human institutions and behaviours; a broad approach championed by Tony. The third is to encourage emerging and future public health leaders to advocate for policies and cultural change to sustain and improve human health, from a foundation of objective scholarship. The book’s foreword and 38 chapters were written by people who were inspired by Tony; many of whom worked with him at some point in the last 40 years. Its structure reflects five major public health domains, each of which Tony made major contributions to in an extremely productive academic life: occupational health and safety; environmental and social epidemiology; nutrition and food systems; climate change and health; and ecosystem change and infectious disease. The final section, ‘Transformation’, is dedicated to Tony’s desire for public health scientists to propose adaptive and mitigating solutions to the problems they were observing. Each section contains at least one key publication involving Tony. There is also a selection of artworks from an exhibition which formed part of the conference held to honour Tony at The Australian National University in 2012. This conference formed the first part of Tony’s festschrift, completed by this book

Abordagem preditiva e adaptativa de gestão operacional aplicada à cadeia de suprimentos do varejo Omni-channel

Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2020.A evolução tecnológica e a digitalização possibilitam a comercialização de produtos através de múltiplos canais e plataformas de forma integrada, propiciando a gestão de varejo omnichannel. Esse processo contínuo de integração das tecnologias digitais/virtuais aos processos gerenciais físicos dos diversos canais influencia na interação das organizações com os clientes. O comportamento de consumo dos clientes é influenciado em decorrência do aumento da conveniência, tornando, contudo, a gestão operacional das cadeias de suprimentos do varejo mais complexa. Para a gestão da cadeia de suprimentos de varejo omni-channel a complexidade reside na incerteza, oscilações no volume de vendas e incompatibilidade entre oferta e demanda. Para lidar com essa complexidade é necessária a adoção de abordagens inovadoras relacionadas a tecnologias de informação e métodos de decisão inteligentes, destacados pela indústria 4.0. No entanto, ainda faltam pesquisas sobre a conexão entre os mundos digital e real, principalmente quando se trata de cadeias de suprimentos de varejo omni-channel, que se baseiam na integração de fluxos e atividades multicanais para melhor atender ao consumidor. Neste contexto, esta pesquisa tem como objetivo propor uma abordagem preditiva e adaptativa para a gestão operacional combinando aprendizado de máquina para minimizar a incerteza, e otimização baseada em simulação para lidar com a sincronização entre oferta e demanda, aplicada à cadeia de suprimentos do varejo omni-channel. Para isso foram identificados os métodos de aprendizado de máquina, de simulação e de otimização aplicados à cadeia de suprimentos e a indústria 4.0 com o intuito de apoiar a escolha do método de redes neurais e da otimização baseada em simulação por meio do algoritmo genético. O método de redes neurais e a otimização baseada em simulação foram analisados por meio de aplicação de um caso teste, visando identificar a aplicabilidade do método levantado na literatura, na gestão operacional da cadeia de suprimentos varejista omni-channel. Em seguida, a abordagem preditiva e adaptativa é aplicada a uma empresa varejista brasileira e como resultado um modelo de gerenciamento operacional de demanda e suprimentos é proposto para a cadeia de suprimentos varejista omnichannel. Os resultados da aplicação do modelo evidenciaram uma redução dos custos da cadeia de suprimentos, do tempo de entrega dos produtos e da quantidade de pedidos provenientes da incompatibilidade de oferta-demanda. Dessa forma, a tese possibilitou a redução das incertezas proveniente da previsão de demanda, redução da falta de produtos na cadeia, e consequentemente um melhor gerenciamento da distribuição da cadeia de suprimentos.Abstract: Technological evolution and digitalization enable the commercialization of products through multiple channels and platforms in an integrated way, providing omni-channel retail management. This ongoing process of integrating digital / virtual technologies into the physical management processes of the various channels influences the interaction of organizations with customers. Customer consumption behavior is influenced by the increase in convenience, however, making the operational management of retail supply chains more complex. For the management of the omni-channel retail supply chain the complexity lies in uncertainty, fluctuations in sales volume and incompatibility between supply and demand. To address this complexity, it is necessary to adopt innovative approaches related to information technologies and intelligent decision methods, highlighted by industry 4.0. However, there is still a lack of research on the connection between the digital and real worlds, especially when it comes to omni-channel retail supply chains, which are based on the integration of multi-channel flows and activities to better serve the consumer. In this context, this research aims to propose a predictive and adaptive approach to operational management combining machine learning to minimize uncertainty, and simulation-based optimization to deal with synchronization between supply and demand, applied to the omni-channel retail supply chain. For this, the machine learning, simulation and optimization methods applied to the supply chain and industry 4.0 were identified in order to support the choice of neural networks method and simulation-based optimization through the genetic algorithm. The neural networks method and the simulationbased optimization were analyzed by applying a test case, aiming to identify the applicability of the method raised in the literature, in the operational management of the omni-channel retail supply chain. The predictive and adaptive approach is then applied to a Brazilian retail company and as a result an operational demand and supply management model is proposed for the omnichannel retail supply chain. The results of the model application showed a reduction in the supply chain costs, in the products fulfillment time and in the quantity of orders resulting from the incompatibility of supply and demand. In this way, the thesis allowed reduce uncertainties arising from demand forecasting, reduce product shortages in the chain, and thereby better manage supply chain distribution

Anglo-Australian racial science, trans-hemispheric transactions, and the "yellow peril" in the Anglosphere, 1850-1960

This thesis traces the history of Anglo-Australian racial science between 1850 and 1960, and examines evolving anthropological constructions of interracial marriage, as a lens through which we can re-evaluate gold rush histories and changing attitudes to East Asian migration throughout the British World, the British Empire’s geo-political relationship with China and Japan, and the transnational dissemination and contestation of the ‘‘yellow peril’’ trope. By decentring the histories of racial science and the British Empire from their North Atlantic moorings, and looking to anxious perceptions of East Asians emanating from antipodean Britons of the ‘global south’, the thesis builds a more trans-hemispheric narrative of the rise and fall of racial thinking. It does this by utilising two case studies. One examines the Sydney geographer Professor Griffith Taylor’s interwar problematisation of the White Australia Policy and the ‘transnational biopolitics’ of Asian immigration restriction in the Anglosphere, through his positive pronouncements about Eurasian intermarriage. Secondly, analysing the latter career of outcast former Kings College London racial scientist Professor Reginald ‘Ruggles’ Gates, and his ‘race crossing’ research in 1950s Australia and Japan, the thesis complicates histories of the global decline of racial thinking and survival of marginal scientific racists after the fall of Nazism