1,779 research outputs found
End-of-2021 stocktake update.
No full textCorrespondenceMichael Weightman, Tuan Anh Bui and Oliver D, Arcy Robertso
Introducing trainee editors and The Thought Broadcast podcast: Stepping forward for trainee research
No full textTrainee EditorialMichael Weightman, Tuan Anh Bui, Oliver D’Arcy Robertso
Stocktake of Australasian Psychiatry's training resources
No full textObjective: To identify all past publications from Australasian Psychiatry with subject matter particularly relevant for trainees. The results of such a search could then be collated into an easily accessible resource available to trainees and their supervisors. Method: An electronic search of the journal’s back catalogue was conducted. Results: Eighty-seven articles published on subjects particularly relevant for trainees were discovered from within Australasian Psychiatry. In particular, multiple useful resources were identified on the topics of the scholarly project and formulation skills. Conclusions: Australasian Psychiatry has published a wealth of literature that is likely to be of significant benefit for trainees as they work their way through the Royal Australian and New Zealand College of Psychiatrists training programme.Michael Weightman, Tuan Anh Bui, Oliver D’Arcy Robertso
End-of-2022 stocktake update
No full textCorrespondenceMichael Weightman, Tuan Anh Bui and Oliver D’Arcy Robertso
An integrated operational system to reduce O&M cost of offshore wind farms
No full textOffshore wind is a relatively new industry and it is generally more expensive to generate electricity than many alternative renewable sources. Operation & Maintenance (O&M) makes up a significant part of the overall cost of running Offshore Wind Turbines (OWT). Since the O&M associated responsibility is shared among turbine manufacturers, wind farm operators and the offshore transmission owners, this has inevitably led to lack of information, duplication of effort and less efficiency. Big data analytics is one great technique that will drive future growth. In this paper, an integrated operational system of offshore wind farm is proposed deploying big data analytics. Firstly, the current state of the O&M of offshore wind farm and the big data analytics are introduced. Afterwards, a predictive maintenance model and a maintenance implementation model are proposed, and an integrated operational system is developed incorporating those two models in order to optimize maintenance planning and implementation. Finally, the possible contribution of such a system to a more effective O&M of offshore wind farm is discussed.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport Engineering and Logistic
Advanced Thermo-Hydro-Mechanical modelling features for practical applications in energy geotechnics (Sur la modélisation Thermo-Hydro-Mécanique avancée pour des applications en Géo-énergie)
No full textThermal and Thermo-Hydro-Mechanical (THM) analysis is at the core of a broad range of geotechnical engineering applications. In this context, an implicit fully coupled formulation has been implemented in the Finite Element software PLAXIS to perform robustly THM analyses. Advanced constitutive models can be easily defined and implemented with the well-known User-Defined Soil Model (UDSM) module. Recently, another module of User-Defined Flow Model (UDFM) has been developed so that users can implement user-defined fluid and heat transfer models (permeability, thermal conductivity functions etc). These improvements allow to perform advanced research analyses in a practical and user-friendly way. In this paper, the aforementioned formulation and functionalities are briefly summarised. Different examples of benchmark numerical analyses of Engineered Barrier Systems (EBS) in radioactive waste disposals as well as geothermal foundation systems are then presented. The obtained numerical results are verified by comparisons with other simulators and/or experimental data.Accepted Author ManuscriptGeo-engineerin
An introduction to management science: quantitative approaches to decision making
No full textRetaining the accessible application-driven approach for which An Introduction to Management Science is highly regarded, adapting author Mik Wisniewski has carefully reworked the existing US textbook to benefit students across the UK, Europe, Middle East and Africa. Packed with diverse realistic examples from Scotland to Saudi Arabia, the landmark text from the ASW team is now available in a truly internationalised version for students studying Management Science and Operations Research at postgraduate and undergraduate level
National ethnology: the contribution of professor Novogrodsky T.A. to the study of the food traditions of Belarusians
No full textThe article is devoted to the analysis of the contribution to the study of the eating traditions of the Belarusians by the ethnologist, professor Novogrodsky T.A. The author attempts to study and systematize scientist's works, describe used sources and scientific methods, determine the level of topic under consideration inquiry.У артыкуле аналізуецца ўклад айчыннага этнолага, прафесара Навагродскага Т.А. у вывучэнне традыцый харчавання беларусаў. Аўтарам разгледжаны і сістэматызаваны працы вучонага, ахарактарызавана база выкарыстаных ім крыніц і метадаў, вызначана ступень вывучанасці навукоўцам дадзенай часткі матэрыяльнай культуры беларусаў
Theoretical studies of the historical development of the accounting discipline: a review and evidence
No full textMany existing studies of the development of accounting thought have either been atheoretical or have adopted Kuhn's model of scientific growth. The limitations of this 35-year-old model are discussed. Four different general neo-Kuhnian models of scholarly knowledge development are reviewed and compared with reference to an analytical matrix. The models are found to be mutually consistent, with each focusing on a different aspect of development. A composite model is proposed. Based on a hand-crafted database, author co-citation analysis is used to map empirically the entire literature structure of the accounting discipline during two consecutive time periods, 1972–81 and 1982–90. The changing structure of the accounting literature is interpreted using the proposed composite model of scholarly knowledge development
Self-assembly of binary solutions to complex structures
No full textFunding Information: This work was supported by the Academy of Finland under Grant Nos. 309324 (M.S.) and 307806 and 312298 (T.A.-N.). T.A.-N. was also supported by a Technology Industries of Finland Centennial Foundation TT2020 grant. We are grateful for support from the FinnCERES Materials Bioeconomy Ecosystem. Computational resources by CSC IT Centre for Finland and RAMI (RawMatters Finland Infrastructure) are also gratefully acknowledged Publisher Copyright: © 2021 Author(s).Self-assembly in natural and synthetic molecular systems can create complex aggregates or materials whose properties and functionalities rise from their internal structure and molecular arrangement. The key microscopic features that control such assemblies remain poorly understood, nevertheless. Using classical density functional theory, we demonstrate how the intrinsic length scales and their interplay in terms of interspecies molecular interactions can be used to tune soft matter self-assembly. We apply our strategy to two different soft binary mixtures to create guidelines for tuning intermolecular interactions that lead to transitions from a fully miscible, liquid-like uniform state to formation of simple and core-shell aggregates and mixed aggregate structures. Furthermore, we demonstrate how the interspecies interactions and system composition can be used to control concentration gradients of component species within these assemblies. The insight generated by this work contributes toward understanding and controlling soft multi-component self-assembly systems. Additionally, our results aid in understanding complex biological assemblies and their function and provide tools to engineer molecular interactions in order to control polymeric and protein-based materials, pharmaceutical formulations, and nanoparticle assemblies.Peer reviewe
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