The experiences and needs of HIV/AIDS counsellors at a South African hospital

To increase the availability of HIV/AIDS counselling in South Africa, nurses have been trained to serve as counsellors within hospital services. The aim of the study was to document the experiences and needs of nurse HIV/AIDS counsellors at a small South African hospital (with 279 beds and 10 medical doctors on the staff). The design was a qualitative, multiple-case study. The sample consisted of four nurse counsellors and the co-ordinator of HIV/AIDS services at the hospital. Three semi-structured interviews with the counsellors were used as the basis for case narratives of their experiences. These narratives were in turn subjected to content analysis to determine the range and nature of the concerns identified by the counsellors. The counsellors found their HIV/AIDS counselling work to be emotionally demanding and identified several significant problems. These were related to confidentiality, stigmatisation, motional responses to informing clients of their HIV-positive status, cultural and contextual factors and situational stressors related to the organisation of the work environment. They did not feel sufficiently supported by their work infrastructure. It is recommended that in setting up counselling services of this sort, managers need to be aware of the need for ongoing support in the form of facilitated groups, professional supervision, managerial attention to problems in the working environment, and regular in-service training

Argument mining with graph representation learning

Argument Mining (AM) is a unique task in Natural Language Processing (NLP) that targets arguments: a meaningful logical structure in human language. Since the argument plays a significant role in the legal field, the interdisciplinary study of AM on legal texts has significant promise. For years, a pipeline architecture has been used as the standard paradigm in this area. Although this simplifies the development and management of AM systems, the connection between different parts of the pipeline causes inevitable shortcomings such as cascading error propagation. This paper presents an alternative perspective of the AM task, whereby legal documents are represented as graph structures and the AM task is undertaken as a hybrid approach incorporating Graph Neural Networks (GNNs), graph augmentation and collective classification. GNNs have been demonstrated to be an effective method for representation learning on graphs, and they have been successfully applied to many other NLP tasks. In contrast to previous pipeline-based architecture, our approach results in a single end-to-end classifier for the identification and classification of argumentative text segments. Experiments based on corpora from both the European Court of Human Rights (ECHR) and the Court of Jus- tice of the European Union (CJEU) show that our approach achieves strong results compared to state-of-the-art baselines. Both the graph augmentation and collective classification steps are shown to improve performance on both datasets when compared to using GNNs alone

A decade of legal argumentation mining: datasets and approaches

The growing research field of argumentation mining (AM) in the past ten years has made it a popular topic in Natural Language Processing. However, there are still limited studies focusing on AM in the context of legal text (Legal AM), despite the fact that legal text analysis more generally has received much attention as an interdisciplinary field of traditional humanities and data science. The goal of this work is to provide a critical data-driven analysis of the current situation in Legal AM. After outlining the background of this topic, we explore the availability of annotated datasets and the mechanisms by which these are created. This includes a discussion of how arguments and their relationships can be modelled, as well as a number of different approaches to divide the overall Legal AM task into constituent sub-tasks. Finally we review the dominant approaches that have been applied to this task in the past decade, and outline some future directions for Legal AM research

Enhancing legal argument mining with domain pre-training and neural networks

The contextual word embedding model, BERT, has proved its ability on downstream tasks with limited quantities of annotated data. BERT and its variants help to reduce the burden of complex annotation work in many interdisciplinary research areas, for example, legal argument mining in digital humanities. Argument mining aims to develop text analysis tools that can automatically retrieve arguments and identify relationships between argumentation clauses. Since argumentation is one of the key aspects of case law, argument mining tools for legal texts are applicable to both academic and non-academic legal research. Domain-specific BERT variants (pre-trained with corpora from a particular background) have also achieved strong performance in many tasks. To our knowledge, previous machine learning studies of argument mining on judicial case law still heavily rely on statistical models. In this paper, we provide a broad study of both classic and contextual embedding models and their performance on practical case law from the European Court of Human Rights (ECHR). During our study, we also explore a number of neural networks when being combined with different embeddings. Our experiments provide a comprehensive overview of a variety of approaches to the legal argument mining task. We conclude that domain pre-trained transformer models have great potential in this area, although traditional embeddings can also achieve strong performance when combined with additional neural network layers

Design of a Wear Test Machine for Diamond Saw Segment

Diamond tools are used in a wide range of industrial areas such as construction industry, metal machining and exploration drilling. The diamond impregnated tools used in the stone and construction industry are metal matrix composites. Diamond saw blades are the most commonly used tools. The optimum operation of diamond saw blades is determined by the cutting action of the diamond grit and the bounding of the metal matrix. However the wear behavior of the diamond saw has been less studied Currently in the blade development, actual full blade tests often have to be conducted for optimization and the testing process is very slow and expensive to carry out. So the development of a testing machine that could reduce the blade development time would be very advantageous. This paper describes the design and construction of a wear apparatus which simulates the Wear conditions that a diamond impregnated saw blade experiences by using just a single segment. It is also our intention to present single segment wear tests on ceramic-based materials, which can be used for the testing and developing of a full blade diamond saw

The value of best-practice guidelines for OSCEs in a postgraduate program in an Australian remote area setting

© CA Jeffery, ML Mitchell, A Henderson, S Lenthall, S Knight, P Glover, M Kelly, D Nulty, M Groves, 2014. Introduction: Nurses in remote areas of Australia are the primary healthcare professionals, who need to be able to deliver comprehensive and culturally sensitive care to clients, many of whom are Indigenous Australians. Adequate and specific preparation for practice is crucial to the quality of care delivered by remote area nurses (RANs). Objective structured clinical examinations (OSCE) provide an excellent opportunity for student practice in a simulated environment that is safe, authentic, fair and valid when well constructed. Seven integrated best practice guidelines (BPGs), previously developed by project team members to inform OSCEs within educational programs, provided guidance in restructuring the OSCE. This paper provides a detailed analysis of the value of BPGs used in the development, teaching and learning, and evaluation of OSCEs in a rural and remote postgraduate course for RANs. Method: A pre-site visit to the Centre for Remote Health, Alice Springs, Northern Territory, was conducted with modification of the course and previous OSCE according to BPGs. Following delivery of the course and OSCE, evaluations occurred via a mixed method approach. Student surveys (n=15) and focus groups (n=13) and staff interviews (n=5) provided an in-depth analysis of their perceptions of the revised OSCE. Descriptive statistics were used to describe the student sample. The narrative data were transcribed verbatim and analysed using content analysis. Triangulation was achieved with the convergence of the separate data sources focusing on themes and patterns within and between students and tutors. Results: All 15 students and five tutors provided feedback. The majority of student participants had limited experience in working in remote area nursing prior to participation and therefore the opportunities that availed themselves were critical in adequately equipping them with the requisite knowledge, skills and abilities. Three themes emerged from the data: (1) value of common and significant events in OSCE; (2) power of deliberate actions; and (3) learning cultural sensitivity. Discussion: OSCEs in this setting proved to be a good way for students to learn the skills required by RANs. Overwhelmingly, the modifications using the BPGs were highly valued by students and staff. Three themes emerged and were clearly linked to specific BPGs, indicating the positive impact the BPGs had on the OSCEs and student learning. The authentic content for the scenarios was seen as relevant and motivational for student learning. The practice element of the OSCEs enhanced the learning experience and feedback supported learning. Conclusions: OSCEs developed, taught and assessed using BPGs were highly valued. The BPGs provided an integrated approach with real-life scenarios with a strong cultural perspective - all important features to the RANs' future success in providing individualised care to clients in remote areas of Australia. Further use of BPGs is recommended

The value of best-practice guidelines for OSCEs in postgraduate program in an Australian remote area setting

Introduction: Nurses in remote areas of Australia are the primary healthcare professionals, who need to be able to deliver comprehensive and culturally sensitive care to clients, many of whom are Indigenous Australians. Adequate and specific preparation for practice is crucial to the quality of care delivered by remote area nurses (RANs). Objective structured clinical examinations (OSCE) provide an excellent opportunity for student practice in a simulated environment that is safe, authentic, fair and valid when well constructed. Seven integrated best practice guidelines (BPGs), previously developed by project team members to inform OSCEs within educational programs, provided guidance in restructuring the OSCE. This paper provides a detailed analysis of the value of BPGs used in the development, teaching and learning, and evaluation of OSCEs in a rural and remote postgraduate course for RANs. Method: A pre-site visit to the Centre for Remote Health, Alice Springs, Northern Territory, was conducted with modification of the course and previous OSCE according to BPGs. Following delivery of the course and OSCE, evaluations occurred via a mixed method approach. Student surveys (n=15) and focus groups (n=13) and staff interviews (n=5) provided an in-depth analysis of their perceptions of the revised OSCE. Descriptive statistics were used to describe the student sample. The narrative data were transcribed verbatim and analysed using content analysis. Triangulation was achieved with the convergence of the separate data sources focusing on themes and patterns within and between students and tutors.Results: All 15 students and five tutors provided feedback. The majority of student participants had limited experience in working in remote area nursing prior to participation and therefore the opportunities that availed themselves were critical in adequately equipping them with the requisite knowledge, skills and abilities. Three themes emerged from the data: (1) value of common and significant events in OSCE; (2) power of deliberate actions; and (3) learning cultural sensitivity.Discussion: OSCEs in this setting proved to be a good way for students to learn the skills required by RANs. Overwhelmingly, the modifications using the BPGs were highly valued by students and staff. Three themes emerged and were clearly linked to specific BPGs, indicating the positive impact the BPGs had on the OSCEs and student learning. The authentic content for the scenarios was seen as relevant and motivational for student learning. The practice element of the OSCEs enhanced the learning experience and feedback supported learning. Conclusions: OSCEs developed, taught and assessed using BPGs were highly valued. The BPGs provided an integrated approach with real-life scenarios with a strong cultural perspective – all important features to the RANs’ future success in providing individualised care to clients in remote areas of Australia. Further use of BPGs is recommended

The occurrence of Sea Lice (Lepeophtheirus salmonis Krøyer) on Farmed Salmon in Ireland (1995 to 2000)

Lepeophtheirus salmonis is the most frequently recorded ecto-parasite on farmed salmon in Europe, and parasitises only salmonid fish species. It is regarded as being commercially damaging to farmed salmon, with major economic losses to the fish farming community resulting per annum. Lepeophtheirus salmonis is a member of the Family Caligidae and has a direct life cycle. Annual data from around Ireland are analysed, as well as per region and per bay. Data is compiled up to the year 2000 and results are based on lice inspections undertaken bimonthly for the months March to May inclusive, and monthly for the remainder of the year, with one exception, December/January, when only one sample was taken. Mean ovigerous and mean mobile lice levels are presented. These estimate, respectively, successful breeding females and successful infection. Results obtained indicate, to some extent, that control methods on different farms differ in the efficacy they have on sea lice infestation, and that depending on which treatment type is used rates of reduction can be different for various life cycle stages. Overall mean ovigerous and mean mobile lice levels were lower in the year 2000 than in 1999. It was apparent that lateral transfer of sea lice during harvesting did occur at a number of sites in the country. It was also apparent that some individual bays appeared to have a greater control over lice infestation levels than others, especially during the critical spring period March to May. The decrease in the control of infestation levels can possibly be attributed to changes in treatments that occurred during the study period, and also to difficulties in achieving effective treatments due to inclement weather and low water temperatures. Since the initiation of monitoring in 1991, improved control of sea lice infestation has always been one of the goals of the programme. Single Bay Management (SBM), introduced in 1993 by the Marine Institute, implemented new measures to minimise re-infection by these parasites, with protocols agreed by all salmon producers within each bay. These plans were later extended and incorporated in 1998 into the Co-ordinated Local Aquaculture Management System (CLAMS), aiming to optimise environmental conditions within each bay for all users of the bay.Funder: Marine Institut

Developing a learning environment that encourages deep learning outcomes

In this paper we report on the development of an authentic learning environment, the tropical island of Lys, that we used to facilitate high quality student learning in a third year subject designed for environmental and ecological scientists (NRB572 ‘Terrestrial Ecosystems’). Lys provided the conceptual framework around which students engaged with web-based learning resources, lectures, practicals, paper-based resources (such as study guides and handouts), as well as a virtual tour of the island, and most importantly an integrated set of assessment tasks that obliged students to develop a critical understanding of fundamental ecosystem processes. Our students expressed conspicuous levels of satisfaction, enjoyment, interest and engagement from their learning experience together with significantly enhanced learning outcomes, which were both self- and formally identified. In this paper, we report on how we used several ‘principles’ of curriculum design so that others, irrespective of discipline, could use similar approaches to achieve similar learning outcomes with their students

Determination of the b quark mass at the M_Z scale with the DELPHI detector at LEP

An experimental study of the normalized three-jet rate of b quark events with respect to light quarks events (light= \ell \equiv u,d,s) has been performed using the CAMBRIDGE and DURHAM jet algorithms. The data used were collected by the DELPHI experiment at LEP on the Z peak from 1994 to 2000. The results are found to agree with theoretical predictions treating mass corrections at next-to-leading order. Measurements of the b quark mass have also been performed for both the b pole mass: M_b and the b running mass: m_b(M_Z). Data are found to be better described when using the running mass. The measurement yields: m_b(M_Z) = 2.85 +/- 0.18 (stat) +/- 0.13 (exp) +/- 0.19 (had) +/- 0.12 (theo) GeV/c^2 for the CAMBRIDGE algorithm. This result is the most precise measurement of the b mass derived from a high energy process. When compared to other b mass determinations by experiments at lower energy scales, this value agrees with the prediction of Quantum Chromodynamics for the energy evolution of the running mass. The mass measurement is equivalent to a test of the flavour independence of the strong coupling constant with an accuracy of 7 permil.Comment: 24 pages, 10 figures, Accepted by Eur. Phys. J.