109 research outputs found
Geologic map of the Dufur area, Wasco County, Oregon
No full textReport -- Plate 1 -- Plate 2 -- Plate 3.Jason D. McClaughry, Heather H. Herinckx, Clark A. Niewendorp, Carlie J.M. Azzopardi, and Joshua A. Hackett.Title from PDF cover (viewed on May 19, 2021).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Erratum: Public health digitalization in Europe: EUPHA vision, action and role in digital public health (European Journal of Public Health (2019) DOI: 10.1093/eurpub/ckz161)
No full textIn the original article, one of author Walter Ricciardi's affiliations (number 4) was incorrect. This has now been corrected in the online version of the article
Life history and ecology of Bluenose Warehou (Hyperoglyphe antarctica, Centrolophidae) in the Southern Atlantic
No full textBluenose warehou (Hyperoglyphe antarctica) is a popular commercial fish in Australia and New Zealand, but its biology and ecology are very poorly known in other regions where it is found. We present here the first life history data for this species from the south Atlantic, focusing upon the exclusive economic zone (EEZ) of the United Kingdom Overseas Territory (UKOT) of Tristan da Cunha (TdC). Here, bluenose is known from several seamounts and island margins, typically occurring in waters between 200 and 1,000 m depth and is the target species of trawl and longline fishery operating since 1997. We use a suite of methods to describe important life history parameters, including length-weight and age-length relationships and size at recruitment, as well as examining commercial longline survey data to uncover habitat preferences of bluenose. This work has formed an important part of the United Kingdom government’s Blue Belt Program in TdC. It has underpinned the development of the first stock assessment for this species in the Atlantic, as well as a range of improved conservation measures for some of the more vulnerable species that occur in these areas, including seabirds and cold-water corals
Dynamic Model Implementation for a Multi-Purpose 1-D Planar SOFC: Gaining Insight Behaviour into an Intermediate Temperature SOFC
No full textThere appears to be something of a perfect storm on the horizon with a sense of drive and changing demand from consumers. The urge to act now mainly revolts around resilience to adapt well in the face of adversity. Fuel cells are a revolutionary technology which can be used as energy conversion devices for distributed combined heat and power generation which can be used as auxiliary power units on board maritime ships alongside the main prime mover, normally provided by internal combustion engines. In this thesis, the principle of operation of fuel cells as well as their technical advantages and limitations are covered. Thereafter, a broad overview of the fuel cells being developed is given as well as in-depth review of how solid oxide fuel cells are categorised. The study mainly focuses on the intermediate temperature operation of solid oxide fuel cells which could prove to break the deadlock in the maritime market. Of all potential technologies for small cogeneration plants (1-10 MW), solid oxide fuel cell systems offer the highest efficiency, highest end-user cost/benefit ratio and the lowest pollutant emissions. In this research, a dynamic model is developed by the finite volume method for co-flow planar solid oxide fuel cells, which can be used for both steady-state and transient performance analysis. The spatial distributions of current densities, pressures, temperatures and gas compositions in the solid oxide fuel cell are dealt with by discretising the cell into small units along the flow direction in the model. For each unit, the partial pressure of each species in the gas flow and the temperature of each solid layer and gas channel are assumed to be homogeneous, and therefore the dynamics are derived as a lumped parameter system. The model is applicable for various fuel inlet compositions and compatible with direct internal reforming. Flow velocities are approximated by applying linear orifice equation instead of solving momentum balance dynamics while a two-temperature layer is enough to capture the dynamics of solid oxide fuel cells, thus mitigating computation intensity. The model developed in this thesis is compared with the “Baseline” model of (Handa Xi and Jing Sun, 2008) which taken as the reference model published in the peer-reviewed Journal of Fuel Cell Science and Technology, (renamed to the Journal of Electrochemical Energy Conversion and Storage, in 2016). The comparison between the two sets of models is made using the same choice of operating parameters made in (Handa Xi and Jing Sun, 2008) on steady-state and dynamic performance. In retrospect, this thesis will attempt to provide a solid oxide fuel cell diagnostic tool to be able to tackle the last bottleneck mentioned in the introduction chapter which was associated with maritime breakthrough problems. Ultimately, the model developed will be convenient and effective for achieving the larger goal in future ship system integration projects for simulating advanced energy systems based on solid oxide fuel cells.Mechanical, Maritime and Materials EngineeringMarine and Transport Technolog
Driven to Distraction: Examining the Influence of Distractors on Search Behaviours, Performance and Experience
No full textAdvertisements, sponsored links, clickbait, in-house recommendations and similar elements pervasively shroud featured content. Such elements vie for people's attention, potentially distracting people from their task at hand. The effects of such "distractors"is likely to increase people's cognitive workload and reduce their performance as they need to work harder to discern the relevant from non-relevant. In this paper, we investigate how people of varying cognitive abilities (measured using Perceptual Speed and Cognitive Failure instruments) are affected by these different types of distractions when completing search tasks. We performed a crowdsourced within-subjects user study, where 102 participants completed four search tasks using our news search engine over four different interface conditions: (i) one with no additional distractors; (ii) one with advertisements; (iii) one with sponsored links; and (iv) one with in-house recommendations. Our results highlight a number of important trends and findings. Participants perceived the interface condition without distractors as significantly better across numerous dimensions. Participants reported higher satisfaction, lower workload, higher topic recall, and found it easier to concentrate. Behaviourally, participants issued queries faster and clicked results earlier when compared to the interfaces with distractors. When using the interfaces with distractors, one in ten participants clicked on a distractor - and despite engaging with a distractor for less than twenty seconds, their task time increased by approximately two minutes. We found that the effects were magnified depending on cognitive abilities - with a greater impact of distractors on participants with lower perceptual speed, and for those with a higher propensity of cognitive failures. Distractors - regardless of their type - have negative consequences on a user's search experience and performance. As a consequence, interfaces containing visually distracting elements are creating poorer search experiences due to the "distractor tax"being placed on people's limited attention. 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.Web Information System
An Axiomatic Approach to Diagnosing Neural IR Models
No full textTraditional retrieval models such as BM25 or language models have been engineered based on search heuristics that later have been formalized into axioms. The axiomatic approach to information retrieval (IR) has shown that the effectiveness of a retrieval method is connected to its fulfillment of axioms. This approach enabled researchers to identify shortcomings in existing approaches and “fix” them. With the new wave of neural net based approaches to IR, a theoretical analysis of those retrieval models is no longer feasible, as they potentially contain millions of parameters. In this paper, we propose a pipeline to create diagnostic datasets for IR, each engineered to fulfill one axiom. We execute our pipeline on the recently released large-scale question answering dataset WikiPassageQA (which contains over 4000 topics) and create diagnostic datasets for four axioms. We empirically validate to what extent well-known deep IR models are able to realize the axiomatic pattern underlying the datasets. Our evaluation shows that there is indeed a positive relation between the performance of neural approaches on diagnostic datasets and their retrieval effectiveness. Based on these findings, we argue that diagnostic datasets grounded in axioms are a good approach to diagnosing neural IR models.Web Information System
‘From Integration to Inclusive Education in England: Illuminating the Issues Through A Life History Account’
No full textThis paper provides a life history account of one teacher’s
determination to make inclusion work. The account reflects on the
policy discourses of integration and inclusion and demonstrates ways in
which these were translated into practice within the remit of the
informant’s experience. The account illustrates how inclusion can result
in exclusive practices which categorise and marginalise learners on
account of their impairments. The account also demonstrates how
inclusion operates within a medical model of disability rather than a
social model. Insights into the policy discourse of integration
demonstrate how the informant was better able to meet pupils’ holistic
needs at that time
Node-indri: Moving the indri toolkit to the modern web stack
No full textWe introduce node-indri, a Node.js module that acts as a wrapper around the Indri toolkit, and thus makes an established IR toolkit accessible to the modern web stack. node-indri exposes many of Indri’s functionalities and provides direct access to document content and retrieval scores for web development (in contrast to, for instance, the Pyndri wrapper). This setup reduces the amount of glue code that has to be developed and maintained when researching search interfaces, which today tend to be developed with specific JavaScript libraries such as React.js, Angular.js or Vue.js. The node-indri repository is open-sourced at https://github.com/felipemoraes/node-indri.Web Information System
"Show me your boobs" : how do child psychotherapists understand the sexual behaviours of traumatised, latency aged boys in the therapy sessions?
No full textThis thesis was scanned from the print manuscript for digital preservation and is copyright the author.
Researchers can access this thesis by asking their local university, institution or public library to
make a request on their behalf. Monash staff and postgraduate students can use the link in the References field
Coauthor prediction for junior researchers
No full textResearch collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
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