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    Transdisciplinarity in a bio-engineering course

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    In order to face environmental issues related to resource management and the protection of our ecosystems, future engineers must be aware of the need to develop new sustainable technologies. Our multidisciplinary and transdisciplinary course aims at sensitizing students to the major challenges related to the environment and resources. In particular, bio-engineering for the production of biosourced and biodegradable polymer materials, waste treatment and recovery, as well as ecosystems remediation are addressed. The aim of the lectures, in the first part of the course, is to introduce notions of ecology, biotechnology, polymer materials and process engineering, in order to prepare the project part which allows students to develop achievements on bio-based materials. The students choose from four project areas: the design and construction of a biodegradation reactor, the production of enzymes by genetic modification of bacterial strains, the implementation and optimization of biodegradation processes, the development and transformation of polymer materials, in particular bio-based and biodegradable materials. Finally, students are invited to consider the importance of interactions between complementary disciplines for the success of sustainable and responsible complex projects such as those in the field of bio-engineering

    Women’s experience of obstetric anal sphincter injury following childbirth: an integrated review

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    ackground: Perineal injury during childbirth is a very common event which affect women during child birth. Significant morbidities are associated with third-and-fourth degree perineal tears in particular, also referred to as obstetric anal sphincter injuries (OASIS). With an increasing global birth rate and rising interventions in birth, the incidence of perineal trauma following vaginal birth is increasing on an in ternational scale, impacted also by more accurate classification and definitions of OASIS and increased pre-existing co morbidities amongst affected women. The consequences of OASIS can be physically and psychologically distressing for affected women and have significant impact on quality of life. Methodology: The aim of this integrative review was to examine women’s experience of OASIS following childbirth using a systematic approach. This is presented in a five-stage process that includes problem identification, literature search, data extraction and evaluation, data analysis and presentation of results. A number of academic electronic databases were systematically searched and results are presented and analysed. Results of the complete search are presented in PRISMA format. Eight papers, which were as sessed for quality using an appropriate appraisal tool, are included in the review and thematic analysis used to identify themes. Findings: The themes identified were; psychological consequences, the role of the health care profes sionals and implications for future pregnancies. Psychological consequences included anxiety, loneliness, isolation, shame, fear, many of which were associated with physical ramifications of OASIS and how these feelings affect activities of daily living. The importance of access to and support from health care profes sionals was highlighted. The impact the experience of OASIS had on women’s decisions about future pregnancies was also evident. Conclusion: The association between OASIS and maternal quality of life following childbirth can be sub stantial as evidenced by this literature review. The review identifies the need for improvement in the care and management of these women to alleviate the physical and psychological consequences of OA SIS, including decisions in relation to future pregnancies and childbirth. Health care professionals caring for women in pregnancy and childbirth need to be educated and informed on the sequelae of OASIS, to ensure appropriate information and support is provided to these women and their families. Such knowl edge may enable health care professionals to alleviate symptoms associated with OASIS and help women make sense and cope with their experiences

    Grid-Enabled Hydropad: a Scientific Application for Benchmarking GridRPC-Based Programming Systems

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    GridRPC is a standard API that allows an application to easily interface with a Grid environment. It implements a remote procedure call with a single task map and client-server communication model. In addition to non-performance-related benefits, scientific applications having large computation and small communication tasks can also obtain important performance gains by being implemented in GridPRC. However, such convenient applications are not representative of the majority of scientific applications and therefore cannot serve as fair benchmarks for comparison of the performance of different GridRPC-based systems. In this paper, we present Hydropad, a real life astrophysical simulation, which is composed of tasks that have a balanced ratio between computation and communication. While Hydropad is not the ideal application for performance benefits from its implementation with GridRPC middleware, we show how even its performance can be improved by using GridSolve and SmartGridSolve. We believe that the Grid-enabled Hydropad is a good candidate application to benchmark GridRPC-based programming systems in order to justify their use for high performance scientific computing.Science Foundation Irelan

    Active Learning for Multi-Label Image Annotation

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    Active learning is useful in situations where labeled data is scarce, unlabeled data is available and labeling has some cost associated with it. In such situations active learning helps by identifying a minimal set of items to label that will allow the training of an effective classifier. Thus active learning is appropriate for annotation tasks in multimedia, particularly in image labeling. In this paper we address the challenge of using active learning for multi-labeling of images in personal image collections. Multi-label learning covers situations where objects can have more than one class label and a learner is trained to assign multiple labels simultaneously. In this paper we report results on a learning system for labeling personal image collections that is both active and multi-label. The focus of the research has been to reduce the overall number of images that are presented to the user for labeling

    An Analysis of Current Trends in CBR Research Using Multi-View Clustering

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    The European Conference on Case-Based Reasoning (CBR) in 2008 marked 15 years of international and European CBR conferences where almost seven hundred research papers were published. In this report we review the research themes covered in these papers and identify the topics that are active at the moment. The main mechanism for this analysis is a clustering of the research papers based on both co-citation links and text similarity. It is interesting to note that the core set of papers has attracted citations from almost three thousand papers outside the conference collection so it is clear that the CBR conferences are a sub-part of a much larger whole. It is remarkable that the research themes revealed by this analysis do not map directly to the sub-topics of CBR that might appear in a textbook. Instead they reflect the applications-oriented focus of CBR research, and cover the promising application areas and research challenges that are faced.Science Foundation Irelan

    Decoding the kinematic and ionisation structure of axisymmetric nebulae

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    The aim of the thesis was to develop a code and pipeline for generating 3D photoionisation models of axisymmetric nebulae to better understand their ob- served structure and composition. This was achieved through a new code that amalgamated the features of popular (but separate) codes in astronomy; a 3D morpho-kinematic modelling application called Shape, a well known, large-scale spectral synthesis code called Cloudy and PyCloudy, a Python library that handles Cloudy. The resulting code presented in this thesis was called Py- Cross, an acronym for “PyCloudy Rendering of Shape Software”. The steep learning curves traditionally experienced when developing and using new codes overshadows the necessity for a formal software development lifecycle. As software development and coding is becoming an essential skill for new astronomers, who are often required to create their own codes for specific purposes, employing and adhering to a software development lifecycle during developing will help meet milestones while managing complex projects, thus ensuring reliability and quality. Here, a formal software development lifecycle and test driven development approach is described and employed in the development of the PyCross code. A detailed account of the code development, installation, functionality, user interface and operational overview is given using both theoretical and actual stellar objects. Creating photoionisation models for known planetary nebulae and novae can only be accomplished when there is sufficient information to determine the most significant physical parameters of the nebula and the central star. Presented here are novel approaches for various scientific methods/pipelines that can be employed with PyCross to generate photoionisation models. Over the course of this thesis PyCross has been used to develop, for the first time, 3D photoionisation models of novae V5668 Sagittarii (2015), V4362 Sagittarii (PTB 42) as well as planetary nebulae LoTr 1 and MyCn 18

    Moral judgment as categorization (MJAC)

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    Observed variability and complexity of judgments of “right” and “wrong” cannot be readily accounted for within extant approaches to understanding moral judgment. In response to this challenge, we present a novel perspective on categorization in moral judgment. Moral judgment as categorization (MJAC) incorporates principles of category formation research while addressing key challenges of existing approaches to moral judgment. People develop skills in making context-relevant categorizations. They learn that various objects (events, behaviors, people, etc.) can be categorized as morally right or wrong. Repetition and rehearsal result in reliable, habitualized categorizations. According to this skill-formation account of moral categorization, the learning and the habitualization of the forming of moral categories occur within goal-directed activity that is sensitive to various contextual influences. By allowing for the complexity of moral judgments, MJAC offers greater explanatory power than existing approaches while also providing opportunities for a diverse range of new research questions.Publishedpeer-reviewe

    Policy Incentives as Behavioural Drivers of Beef Enterprises in Ireland: Where are the Kinks?

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    The current structure of agricultural production is still influenced by historical coupled payments, even though it has been eight years since decoupled payments were introduced. Much of the expansion in the Irish cattle herd that occurred during the era of the MacSharry reforms is still visible. In this paper we consider the incentives associated with the Common Agricultural Policy (CAP) over time in relation to production. Our primary focus is on subsidies that were available to the beef sector, and we investigate the behavioural pressures associated with these incentives. We have developed a Hypothetical microsimulation model using a typical farm, based on plausible values taken from the Teagasc National Farm Survey (NFS) 1995. We are investigating if subsidies available to the beef sector in Ireland through the CAP since 1984 resulted in non-linearity in the Direct Payment Schedule faced by cattle farmers, and if so where were these kinks and what were the behavioural pressures associated with these incentives? Identifying non-linearity in the Direct Payment Schedule indicates where incentives occurred. Large kinks are associated with large incentives at that point. We calculated a total payment for each subsidy from 1984 to 2014, and constructed a Direct Payment Schedule that varies by stocking rate. We find that subsidies, and in particular the CAP reform payments of the MacSharry era introduced large discontinuities or kink points in the Direct Payment Schedule of beef farmers, indicating that there were large incentives for farmers to produce at or just before these points

    Milk production per cow and per hectare of spring-calving dairy cows grazing swards differing in Lolium perenne L. ploidy and Trifolium repens L. composition

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    Grazed grass is the cheapest feed available for dairy cows in temperate regions; thus, to maximize profits, dairy farmers must optimize the use of this high-quality feed. Previous research has defined the benefits of including white clover (Trifolium repens L.) in grass swards for milk production, usually at reduced nitrogen usage and stocking rate. The aim of this study was to quantify the responses in milk production of dairy cows grazing tetraploid or diploid perennial ryegrass (Lolium perenne L.; PRG) sown with and without white clover but without reducing stocking rate or nitrogen usage. We compared 4 grazing treatments in this study: tetraploid PRG-only swards, diploid PRG-only swards, tetraploid with white clover swards, and diploid with white clover swards. Thirty cows were assigned to each treatment, and swards were rotationally grazed at a farm-level stocking rate of 2.75 cows/ha and a nitrogen fertilizer rate of 250 kg/ha annually. Sward white clover content was 23.6 and 22.6% for tetraploid with white clover swards and diploid with white clover swards, respectively. Milk production did not differ between the 2 ploidies during this 4-yr study, but cows grazing the PRG-white clover treatments had significantly greater milk yields (+596 kg/cow per year) and milk solid yields (+48 kg/cow per year) compared with cows grazing the PRG-only treatments. The PRG-white clover swards also produced 1,205 kg of DM/ha per year more herbage, which was available for conserving and buffer feeding in spring when these swards were less productive than PRG-only swards. Although white clover is generally combined with reduced nitrogen fertilizer use, this study provides evidence that including white clover in either tetraploid or diploid PRG swards, combined with high levels of nitrogen fertilizer, can effectively increase milk production per cow and per hectar

    The Literature-Enactment-Process: Exploring narratives through performative conventions

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    This project promotes reading literature for students through a new approach termed the Literature-Enactment-Process (LEP) where students can gain access to and comprehend narratives and associated topics of inquiry through a range of phases, with drama-based conventions as a pivotal point. As a pedagogical tool, these performative strategies are embedded in a larger approach that combines individual and collaborative comprehension processes. The LEP seeks to explore literature interactively, in that the student’s individual views, the perceptions of others, and the text details are equally taken into account. Teaching literature should not remain restricted to correctly answering interpretative questions. If teachers demand only one “right” interpretation, learners are deprived of the enrichment and multiple meanings texts can generate. Students must be motivated to think and learn for themselves and for a world which is constantly changing, often to the detriment of our natural environment. For this purpose, the Literature and Ecology (LITECO) workshop was designed to fuse the study of literature and ecological learning using and exemplifying the LEP. At the University of Graz, the Literature-Enactment-Process was tested with current and future teachers as well as language arts students and positively evaluated as an interdisciplinary teaching approach for the (foreign) language classroom in secondary education

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