Wry-necked memory : the matter of Ireland in cutting green hay and memory Ireland, and the poems of the pattern.

This paper examines the matter of Ireland in Buckley’s two memoirs, Cutting Green Hay (1983) and Memory Ireland (1985), and the poems of The Pattern (1979), in order to revisit critically the ways in which he constructs himself as a diasporic Irish-Australian, a participant in the most remote Gaeltacht. It raises questions of victimhood, of similar and different experience of being at the mercy of the land, and of his re-engineering of the place of the political in poetry. It argues that Buckley’s agonized positioning as Ireland’s ‘guest/foreigner/son’ was a project that was doomed by its utopianism, and that, obsessed as he became with Ireland, the angst within had little to do with ‘the Ireland within’ or without. The paper suggests that the poet’s slow and unacknowledged abandonment in his Irish period of a key tenet of modernism, its distrust of propaganda and the political, is in itself a new formation which had some continuity with the radicalism of his thinking during the formative years of the revolutionary catholic apostolate he led both at the University of Melbourne and nationally. It also points to the deployment of an ancient medieval Irish trope, that of the ocean (rather than a landmass) linking a dispersed community, as one of the ways the poetry effects a resolution of the issues of being ‘Irish’ in a remote country.

Evaluating cutting fluid machinability performance

Changes in the metal-working industry, as a result of new environmental legislation or health and safety initiatives, creates the need for constant re-formulation of soluble cutting fluids. In order for there to be confidence in the product's ability to perform its required function successfully, there must be some clearly defined test methods for assessing machinability. Such a test methodology must provide comprehensive data on the fluid's lubrication and cooling properties, which are likely to occur in application. This paper describes the functions of soluble cutting fluids and discusses ways in which performance has been previously determined. Furthermore, it presents a new method for assessing machinability which is proposed as the basis for the development of a new and universal test protocol.

Changing philosophies and tools for statistical inferences in behavioral ecology

Recent developments in ecological statistics have reached behavioral ecology, and an increasing number of studies now apply analytical tools that incorporate alternatives to the conventional null hypothesis testing based on significance levels. However, these approaches continue to receive mixed support in our field. Because our statistical choices can influence research design and the interpretation of data, there is a compelling case for reaching consensus on statistical philosophy and practice. Here, we provide a brief overview of the recently proposed approaches and open an online forum for future discussion (https://bestat.ecoinformatics.org/). From the perspective of practicing behavioral ecologists relying on either correlative or experimental data, we review the most relevant features of information theoretic approaches, Bayesian inference, and effect size statistics. We also discuss concerns about data quality, missing data, and repeatability. We emphasize the necessity of moving away from a heavy reliance on statistical significance while focusing attention on biological relevance and effect sizes, with the recognition that uncertainty is an inherent feature of biological data. Furthermore, we point to the importance of integrating previous knowledge in the current analysis, for which novel approaches offer a variety of tools. We note, however, that the drawbacks and benefits of these approaches have yet to be carefully examined in association with behavioral data. Therefore, we encourage a philosophical change in the interpretation of statistical outcomes, whereas we still retain a pluralistic perspective for making objective statistical choices given the uncertainties around different approaches in behavioral ecology. We provide recommendations on how these concepts could be made apparent in the presentation of statistical outputs in scientific papers.

Evaluating and improving morpho-syntactic classification over multiple corpora using pre-trained, "off-the-shelf", parts-of-speech tagging tools

This paper evaluates six commonly available parts-of-speech tagging tools over corpora other than those upon which they were originally trained. In particular this investigation measures the performance of the selected tools over varying styles and genres of text without retraining, under the assumption that domain specific training data is not always available. An investigation is performed to determine whether improved results can be achieved by combining the set of tagging tools into ensembles that use voting schemes to determine the best tag for each word. It is found that while accuracy drops due to non-domain specific training, and tag-mapping between corpora, accuracy remains very high, with the support vector machine-based tagger, and the decision tree-based tagger performing best over different corpora. It is also found that an ensemble containing a support vector machine-based tagger, a probabilistic tagger, a decision-tree based tagger and a rule-based tagger produces the largest increase in accuracy and the largest reduction in error across different corpora, using the Precision-Recall voting scheme.

Evaluating and improving morpho-syntactic classification over multiple corpora using pre-trained, “off-the-shelf”, parts-of-speech tagging tools

his paper evaluates six commonly available parts-of-speech tagging tools over corpora other than those upon which they were originally trained. In particular this investigation measures the performance of the selected tools over varying styles and genres of text without retraining, under the assumption that domain specific training data is not always available. An investigation is performed to determine whether improved results can be achieved by combining the set of tagging tools into ensembles that use voting schemes to determine the best tag for each word. It is found that while accuracy drops due to non-domain specific training, and tag-mapping between corpora, accuracy remains very high, with the support vector machine-based tagger, and the decision tree-based tagger performing best over different corpora. It is also found that an ensemble containing a support vector machine-based tagger, a probabilistic tagger, a decision-tree based tagger and a rule-based tagger produces the largest increase in accuracy and the largest reduction in error across different corpora, using the Precision-Recall voting scheme.

Comparative effectiveness report : online survey tools

Purpose. A group of Australian researchers seeking an accessible online survey tool discovered to their concern that most commercially available survey tools are not actually ‘useable’ by a significant number of assistive technology users.
Method. Comparative effectiveness analysis of 11 popular survey tools. A bespoke survey tool was subsequently created to meet all accessibility guidelines and useability criteria as determined by the wide range of assistive technology users with whom the research team was working.
Results. Many survey tools claim accessibility status but this does not reflect the actual situation. Only one survey met all compliance points; however, it was limited by inflexible layout and few options for question types; some surveys proved unusable by screen reader. All surveys reviewed represented a compromise between accessibility and breadth of functionality.
Conclusion. It would appear the voices of a proportion of people living with disability are absent from the data collected by surveys, and that current accessibility guidelines, even where implemented, still fall short of assuring useable survey tools. This article describes one online solution created to successfully survey a broad population, and outlines a design approach to encompass user diversity.

Preliminary tools assisting collected building performance measurements

Investigating on-site building performance in architectural science is increasing. However, the simplest forms of measurement often lack any analytical support other than presentation on a time-series plot. Here, we present instrumentation and analytical tools to assist in reporting building performance. The intention is to explore formats for observing performance of buildings based on collected data. Sometimes data are presented directly, but more often, information is revealed by calculation. We introduce examples of tools pertaining to interior-exterior climatic comparisons, occupant comfort and thermal performance, such as weather data plotted against a neutral temperature so that adaptive model comfort tolerances can be illustrated. We plot the interior and exterior air condition on the ASHRAE psychrometric chart to understand conditioning requirements. Other tools calculate the ISO 7730 (Fanger) comfort model, and an adaptive model of comfort is provided for the interior measurements alongside an 80 – 90% comfort band. These tools add value to reporting data by displaying in several formats, so the researcher can observe and report quickly and clearly on the potential of various conditioning periods within a building.A case study is presented for a house in Darwin during the wet-season.

Web tools for the prioritization of candidate disease genes

Despite increasing sequencing capacity, genetic disease investigation still frequently results in the identification of loci containing multiple candidate disease genes that need to be tested for involvement in the disease. This process can be expedited by prioritizing the candidates prior to testing. Over the last decade, a large number of computational methods and tools have been developed to assist the clinical geneticist in prioritizing candidate disease genes. In this chapter, we give an overview of computational tools that can be used for this purpose, all of which are freely available over the web.

Authoring multimedia authoring tools

Capturing devices, while continually becoming smaller and easier to use, have increased in capacity. They are also more connectable and interoperable, and their propensity to show up where they are least expected is surprising. Despite these advances, the video-capture experience is still frustrating. To achieve success, two issues need consideration. One is to determine what to capture and how, and how to handle the ensuring process required to transform the raw captured footage into a presentable multimedia artifact. Continual query on discourse theory, domain distinctives such as media aesthetics, human-computer interface issues, and multimedia data description standards is also important.