Giving Voice to School Nursing as a Primary Health Care Specialty

The purpose of this thesis is to give voice to school nursing as a primary health care specialty, and to promote the development of school nursing in New Zealand. School nursing is an invisible practice specialty that is largely funded from within the education sector, to address the health needs of student clients. School nursing is a significant primary health care initiative that can positively influence student health outcomes. My school nursing practice experience and philosophy is presented prior to reflecting upon the history of school nursing, and the health concerns present within the student population. The work then moves to review and critique school nursing literature from New Zealand, Australia, the United Kingdom, and the United States. This thesis highlights the need for collaborative policy and practice development initiatives including a legislative requirement for school nurses, school nursing competencies and standards, school nurse to student ratios, postgraduate training, professional liaison, practice funding, and research. A discourse on the reflective topical autobiographical method introduces autobiographical poetry from school nursing practice and reflective inquiry, as the central research endeavour of this thesis. Autobiographical poetry is offered as a window to this specialty practice, and accompanying reflections allow access to a further layer of practice knowledge. Student health needs, the scope of nursing intewentions, and the essences of school nursing practice have been distilled from the poetry. Poetic representation and subsequent reflection has facilitated the development of a school nursing framework for use within the New Zealand context, entitled Health Mediation in School Nursing. School nursing is presented throughout this thesis as an important child and adolescent primary health care initiative, which has the potential to reduce health barriers to learning, improve student health outcomes, and build student success in the social, emotional, and educational domains

Giving Voice to School Nursing as a Primary Health Care Specialty

The purpose of this thesis is to give voice to school nursing as a primary health care specialty, and to promote the development of school nursing in New Zealand. School nursing is an invisible practice specialty that is largely funded from within the education sector, to address the health needs of student clients. School nursing is a significant primary health care initiative that can positively influence student health outcomes. My school nursing practice experience and philosophy is presented prior to reflecting upon the history of school nursing, and the health concerns present within the student population. The work then moves to review and critique school nursing literature from New Zealand, Australia, the United Kingdom, and the United States. This thesis highlights the need for collaborative policy and practice development initiatives including a legislative requirement for school nurses, school nursing competencies and standards, school nurse to student ratios, postgraduate training, professional liaison, practice funding, and research. A discourse on the reflective topical autobiographical method introduces autobiographical poetry from school nursing practice and reflective inquiry, as the central research endeavour of this thesis. Autobiographical poetry is offered as a window to this specialty practice, and accompanying reflections allow access to a further layer of practice knowledge. Student health needs, the scope of nursing intewentions, and the essences of school nursing practice have been distilled from the poetry. Poetic representation and subsequent reflection has facilitated the development of a school nursing framework for use within the New Zealand context, entitled Health Mediation in School Nursing. School nursing is presented throughout this thesis as an important child and adolescent primary health care initiative, which has the potential to reduce health barriers to learning, improve student health outcomes, and build student success in the social, emotional, and educational domains

SEAGRID: A New Dynamic Modelling Tool for Power System Analysis of Ocean Energy Devices

International audienceAs the ocean energy industry approaches commercial readiness, there will be a greater focus on integration of ocean energy devices (OEDs) into the electrical power system network. Device developers will be required to provide dynamic models of their device for grid connection, and ensure their device operates within the limits laid out in the grid code. Project developers will need to assess the impact of different wavefarm configurations, ratings for the electrical equipment, power losses, and performance during a fault. Grid operators will require dynamic models to investigate the impact an OED will have on the grid and also for future grid planning studies. The SEAGRID dynamic modelling tool attempts to address each of these issues using its generic modelling approach. The SEAGRID model is capable of producing a scalable time domain power system dynamic model using empirical test data and component specifications, bypassing the need for a full hydrodynamic study of the device

Generic Dynamic Modelling for Grid Integration of Ocean Energy Devices

International audienceAs ocean wave and tidal stream technologies approach commercial readiness, grid operators need to assess the impact a wave or tidal device will have on the electrical grid under both normal and fault conditions. In order to achieve this, it will be necessary for each device developer to supply dynamic models of their device to the grid operator. A generic modelling approach is proposed to facilitate the integration of ocean energy devices into the electrical grid, from the perspective of both device developers and grid operators. This paper outlines issues surrounding dynamic modelling for ocean energy devices, and proposes a generic model structure based on data obtained from a recent survey of device developers. The proposed model structure would simulate the power flow through a device using generic parameters which can be obtained from empirical test data and equipment specifications

Prevalence of abnormalities on shoulder MRI in symptomatic and asymptomatic older adults

AIM: The aim of this study was to determine the prevalence of structural shoulder pathology using magnetic resonance imaging (MRI) in three groups of older people: those with current shoulder pain, those with a previous history of shoulder pain and those with no history of shoulder pain, within a community-based sample. METHODS: Thirty subjects (10 within each of the three groups) participated in the study. Subjects were recruited by telephone and underwent a clinical examination of shoulder and neck range of movement (to ensure pain was not referred from the neck). Subjects completed the Shoulder Pain and Disability Index (SPADI) and underwent MRI and X-ray of the relevant shoulder. The X-rays and MRI were read independently by two experienced musculoskeletal radiologists blinded to each participant's symptoms. The MRIs were read using a structured reporting system. RESULTS: The mean range of shoulder movement on both the right and left sides was lower for the current pain group compared to both the no and previous pain groups. On X-ray, there was no significant difference between groups in terms of glenohumeral and/or acromioclavicular degenerative changes. Tendinosis and tears of the rotator cuff were present in the majority of participants in each group. Labral abnormalities were rare among all groups. CONCLUSION: Shoulder pathology is apparent in both symptomatic and asymptomatic shoulders and clinical symptoms may not match radiological findings. The cost burden of ordering MRI scans is significant and the relevance of the findings are questionable when investigating shoulder pain.Tiffany K. Gill, E. Michael Shanahan, Dale Allison, Daniel Alcorn and Catherine L. Hil

Towards a grapho-phonologically parsed corpus of medieval Scots:Database design and technical solutions

This paper presents a newly constructed corpus of sound-to-spelling mappings in medieval Scots, which stems from the work of the From Inglis to Scots (FITS) project. We have developed a systematic approach to the relationships between individual spellings and proposed sound values, and recorded these mutual links in a relational database. In this paper, we introduce the theoretical underpinnings of sound-to-spelling and spelling-to-sound mappings, and show how a Scots root morpheme undergoes grapho-phonological parsing, the analytical procedure that is employed to break down spelling sequences into sound units. We explain the data collection and annotation for the FITS Corpus (Alcorn et al., forthcoming), drawing attention to the extensive meta-data which accompany each analysed unit of spelling and sound. The database records grammatical and lexical information about the root, the positional arrangement of segments within the root, labels for the nuclei, vowels and consonants, the morphological context, and extra-linguistic detail of the text a given root was taken from (date, place and text type). With this wealth of information, the FITS corpus is capable of answering complex queries about the sound and spelling systems of medieval Scots. We also suggest how our methodology can be transferred to other non-standardised spelling systems

Evaluating the impact of voice activity detection on speech emotion recognition for autistic children

Individuals with autism are known to face challenges with emotion regulation, and express their affective states in a variety of ways. With this in mind, an increasing amount of research on automatic affect recognition from speech and other modalities has recently been presented to assist and provide support, as well as to improve understanding of autistic individuals' behaviours. As well as the emotion expressed from the voice, for autistic children the dynamics of verbal speech can be inconsistent and vary greatly amongst individuals. The current contribution outlines a voice activity detection (VAD) system specifically adapted to autistic children's vocalisations. The presented VAD system is a recurrent neural network (RNN) with long short-term memory (LSTM) cells. It is trained on 130 acoustic Low-Level Descriptors (LLDs) extracted from more than 17 h of audio recordings, which were richly annotated by experts in terms of perceived emotion as well as occurrence and type of vocalisations. The data consist of 25 English-speaking autistic children undertaking a structured, partly robot-assisted emotion-training activity and was collected as part of the DE-ENIGMA project. The VAD system is further utilised as a preprocessing step for a continuous speech emotion recognition (SER) task aiming to minimise the effects of potential confounding information, such as noise, silence, or non-child vocalisation. Its impact on the SER performance is compared to the impact of other VAD systems, including a general VAD system trained from the same data set, an out-of-the-box Web Real-Time Communication (WebRTC) VAD system, as well as the expert annotations. Our experiments show that the child VAD system achieves a lower performance than our general VAD system, trained under identical conditions, as we obtain receiver operating characteristic area under the curve (ROC-AUC) metrics of 0.662 and 0.850, respectively. The SER results show varying performances across valence and arousal depending on the utilised VAD system with a maximum concordance correlation coefficient (CCC) of 0.263 and a minimum root mean square error (RMSE) of 0.107. Although the performance of the SER models is generally low, the child VAD system can lead to slightly improved results compared to other VAD systems and in particular the VAD-less baseline, supporting the hypothesised importance of child VAD systems in the discussed context

Environmental stress in the Gulf of Mexico and its potential impact on public health

© 2015 Elsevier Inc. The Deepwater Horizon (DWH) oil spill in the Gulf of Mexico was the largest maritime oil spill in history resulting in the accumulation of genotoxic substances in the air, soil, and water. This has potential far-reaching health impacts on cleanup field workers and on the populations living in the contaminated coastal areas. We have employed portable airborne particulate matter samplers (SKC Biosampler Impinger) and a genetically engineered bacterial reporter system (umu-ChromoTest from EBPI) to determine levels of genotoxicity of air samples collected from highly contaminated areas of coastal Louisiana including Grand Isle, Port Fourchon, and Elmer\u27s Island in the spring, summer and fall of 2011, 2012, 2013 and 2014. Air samples collected from a non-contaminated area, Sea Rim State Park, Texas, served as a control for background airborne genotoxic particles. In comparison to controls, air samples from the contaminated areas demonstrated highly significant increases in genotoxicity with the highest values registered during the month of July in 2011, 2013, and 2014, in all three locations. This seasonal trend was disrupted in 2012, when the highest genotoxicity values were detected in October, which correlated with hurricane Isaac landfall in late August of 2012, about five weeks before a routine collection of fall air samples. Our data demonstrate: (i) high levels of air genotoxicity in the monitored areas over last four years post DWH oil spill; (ii) airborne particulate genotoxicity peaks in summers and correlates with high temperatures and high humidity; and (iii) this seasonal trend was disrupted by the hurricane Isaac landfall, which further supports the concept of a continuous negative impact of the oil spill in this region