The potential use of time-area closures to reduce catches of bigeye tuna (Thunnus obesus) in the purse-seine fishery of the eastern Pacific Ocean

Skipjack (Katsuwonus pelamis), yellowfin (Thunnus albacares), and bigeye (Thunnus obesus) tunas are caught by purse-seine vessels in the eastern Pacific Ocean (EPO). Although there is no evidence to indicate that current levels of fishing-induced mortality will affect the sustainability of skipjack or yellowfin tunas, fishing mortality on juvenile (younger than 5 years of age) bigeye tuna has increased, and overall fishing mortality is greater than that necessary to produce the maximum sustainable yield of this species. We investigated whether time-area closures have the potential to reduce purse-seine bigeye catches without significantly reducing skipjack catches. Using catch and effort data for 1995–2002, we identified regions where the ratio of bigeye to skipjack tuna catches was high and applied simple closed-area models to investigate the possible benefits of time-area closures. We estimated that the most optimistic and operationally feasible 3-month closures, covering the equatorial region of the EPO during the third quarter of the year, could reduce bigeye catches by 11.5%, while reducing skipjack tuna catches by 4.3%. Because this level of bigeye tuna catch reduction is insufficient to address sustainability concerns, and larger and longer closures would reduce catches of this species signficantly, we recommend that future research be directed toward gear technology solutions because these have been successful in many other fisheries. In particular, because over 50% of purse-seine catches of bigeye tuna are taken in sets in which bigeye tuna are the dominant species, methods to allow the determination of the species composition of aggregations around floating objects may be important.

Intertextualidade: uma contribuição para o ensino de produção escrita

Este trabalho de pesquisa tem como objetivo principal demonstrar que a realização de um trabalho de leitura e de escrita baseado em intertextualidade, especificamente com fábulas e provérbios, resulta no desenvolvimento de habilidade de escrita dos alunos do sexto ano de escolaridade do ensino fundamental. Para tanto, propõe-se a uma intersecção metodológica: de um lado as estratégias didáticas, realizadas ao longo de um trimestre de aulas de Língua Portuguesa, no sexto ano de escolaridade do Colégio Pedro II, Campus Tijuca II, ao qual a pesquisadora está vinculada com atividade docente e de coordenação pedagógica. As atividades propõem uma estreita relação entre leitura de textos de diferentes gêneros e produção escrita, a partir da concepção de intertextualidade; de outro, a organização metodológica dessas produções, com um rigoroso levantamento dos tipos de intertextualidade utilizados nas diferentes produções dos estudantes, comprovando que o estímulo constante alimenta o desenvolvimento da proficiência de escrita, havendo o aumento do uso de diferentes tipos de intertextualidade. Do ponto de vista teórico, esta pesquisa propõe percurso histórico da intertextualidade tanto na perspectiva literária quanto na linguística, baseando-se nos autores Bakhtin (2011), Bazerman (2011), Koch (2007), Vigner (2002), Laurent Jenny (1979) e Barthes (2013), o que contribui para a ampliação do conceito chave: intertextualidade. Postula-se que o trabalho de leitura de diferentes gêneros possibilita o estabelecimento da intertextualidade por meio da multiplicidade de temas, de conteúdos e de enfoques e que esse procedimento leva os alunos a produzirem textos com nível mais alto de informatividade e expressividade. Esta estratégia didática favorece o surgimento de novos procedimentos para o ensino de Língua Portuguesa, contribuindo, sobremaneira para o desenvolvimento da competência discursiva dos estudantes do 6 ano de escolaridade

Development, validation, and utilization of a competitive enzyme-linked immunosorbent assay for the detection of antibodies against Brucella species in marine mammals

A competitive enzyme-linked immunosorbent assay (cELISA) was developed by using a whole-cell antigen from a marine Brucella sp. isolated from a harbor seal (Phoca vitulina). The assay was designed to screen sera from multiple marine mammal species for the presence of antibodies against marine-origin Brucella. Based on comparisons with culture-confirmed cases, specificity and sensitivity for cetacean samples tested were 73% and 100%, respectively. For pinniped samples, specificity and sensitivity values were 77% and 67%, respectively. Hawaiian monk seal (Monachus schauinslandi; n = 28) and bottlenose dolphin (Tursiops truncatus; n = 48) serum samples were tested, and the results were compared with several other assays designed to detect Brucella abortus antibodies. The comparison testing revealed the marine-origin cELISA to be more sensitive than the B. abortus tests by the detection of additional positive serum samples. The newly developed cELISA is an effective serologic method for detection of the presence of antibodies against marine-origin Brucella sp. in marine mammals.

Environmental threats to children's health in Southeast Asia and the Western Pacific

The Southeast Asia and Western Pacific regions contain half of the world's children and are among the most rapidly industrializing regions of the globe. Environmental threats to children's health are widespread and are multiplying as nations in the area undergo industrial development and pass through the epidemiologic transition. These environmental hazards range from traditional threats such as bacterial contamination of drinking water and wood smoke in poorly ventilated dwellings to more recently introduced chemical threats such as asbestos construction materials; arsenic in groundwater; methyl isocyanate in Bhopal, India; untreated manufacturing wastes released to landfills; chlorinated hydrocarbon and organophosphorous pesticides; and atmospheric lead emissions from the combustion of leaded gasoline. To address these problems, pediatricians, environmental health scientists, and public health workers throughout Southeast Asia and the Western Pacific have begun to build local and national research and prevention programs in children's environmental health. Successes have been achieved as a result of these efforts: A cost-effective system for producing safe drinking water at the village level has been devised in India; many nations have launched aggressive antismoking campaigns; and Thailand, the Philippines, India, and Pakistan have all begun to reduce their use of lead in gasoline, with resultant declines in children's blood lead levels. The International Conference on Environmental Threats to the Health of Children, held in Bangkok, Thailand, in March 2002, brought together more than 300 representatives from 35 countries and organizations to increase awareness on environmental health hazards affecting children in these regions and throughout the world. The conference, a direct result of the Environmental Threats to the Health of Children meeting held in Manila in April 2000, provided participants with the latest scientific data on children's vulnerability to environmental hazards and models for future policy and public health discussions on ways to improve children's health. The Bangkok Statement, a pledge resulting from the conference proceedings, is an important first step in creating a global alliance committed to developing active and innovative national and international networks to promote and protect children's environmental health.

Trauma and the Memory of Politics

Edkins, Jenny, Trauma and the Memory of Politics (Cambridge: Cambridge University Press, 2003), pp.xvii+265 RAE2008

The Criminalization of Mass Starvations: From Natural Disaster to Crime Against Humanity

Edkins Jenny, 'The Criminalisation of Mass Starvations: From Natural Disaster to Crime Against Humanity', In: 'The New Famines: Why Famines Persist in an Era of Globalisation', (New York: Routledge), pp.50-65, 2006 RAE2008

Exposed singularity

Edkins, J., Exposed singularity, Journal for Cultural Research, Volume 9, Issue 4 October 2005 , pages 359 - 386 RAE2008

Through the Wire: Relations of Power and Relations of Violence

Edkins, J. and Pin-Fat, V. (2005). Through the Wire: Relations of Power and Relations of Violence. Millennium - Journal of International Studies. 34(1), pp.1-24 RAE2008

Extending snBench to Provide Concurrency Support in the Sensorium Execution Environment (SXE)

The SNBENCH is a general-purpose programming environment and run-time system targeted towards a variety of Sensor applications such as environmental sensing, location sensing, video sensing, etc. In its current structure, the run-time engine of the SNBENCH namely, the Sensorium Execution Environment (SXE) processes the entities of execution in a single thread of operation. In order to effectively support applications that are time-sensitive and need priority, it is imperative to process the tasks discretely so that specific policies can be applied at a much granular level. The goal of this project was to modify the SXE to enable efficient use of system resources by way of multi-tasking the individual components. Additionally, the transformed SXE offers the ability to classify and employ different schemes of processing to the individual tasks.

Irish neo-paganism: worldview, ritual and identity

Neo-paganism is a vibrant, dynamic global movement, which has had a significant cultural impact. Neo-paganism is an umbrella term for a wide range of spiritual practices, often described as nature- or earth-based spirituality. There are different “paths” or spiritual traditions within this movement, of which Druidry, Wicca and other forms of Pagan Witchcraft are included in this research. The present work is an ethnographic study of the worldview and ritual practices of the Irish neo-pagan community. It is an enquiry into (a) what characterises the neo-pagan worldview and (b) how this worldview is expressed through ritual behaviour. In order to collect data, the methodology of participant observation and ethnographic interviewing was employed. The thesis comprises a collection of “insider” accounts of what it is like to be a neo-pagan in Ireland and analysis of these narratives, which gives insight into different aspects of neopagan culture. In the discussion, the use of mythology is examined in regard to how mythic narrative is connected to identity formation. Irish cultural symbols are observed as resources utilised in the construction of the movement’s overall character. The interconnectedness of the natural landscape, the numinous and mythology gives rise to creative expression through various forms of neo-pagan artworks, which are discussed herein. The identifying features and key issues of Irish neo-pagan culture are addressed. These key issues are expressed as prominent themes and symbols of their discourse. Neo-pagan dialogue often features discussion of the relationship that this cultural group has with the Irish landscape, history, and indigenous and popular Irish religion. Some of the specific aspects of neo-pagan culture examined are magical worldview, the notion of holism, different types of ritual practices (festivals, life cycle rituals, healing), and material culture. The thesis presents an in-depth analysis of neopagan cultural expressions and their significance as cultural processes

Artefact detection and removal algorithms for EEG diagnostic systems

The electroencephalogram (EEG) is a medical technology that is used in the monitoring of the brain and in the diagnosis of many neurological illnesses. Although coarse in its precision, the EEG is a non-invasive tool that requires minimal set-up times, and is suitably unobtrusive and mobile to allow continuous monitoring of the patient, either in clinical or domestic environments. Consequently, the EEG is the current tool-of-choice with which to continuously monitor the brain where temporal resolution, ease-of- use and mobility are important. Traditionally, EEG data are examined by a trained clinician who identifies neurological events of interest. However, recent advances in signal processing and machine learning techniques have allowed the automated detection of neurological events for many medical applications. In doing so, the burden of work on the clinician has been significantly reduced, improving the response time to illness, and allowing the relevant medical treatment to be administered within minutes rather than hours. However, as typical EEG signals are of the order of microvolts (μV ), contamination by signals arising from sources other than the brain is frequent. These extra-cerebral sources, known as artefacts, can significantly distort the EEG signal, making its interpretation difficult, and can dramatically disimprove automatic neurological event detection classification performance. This thesis therefore, contributes to the further improvement of auto- mated neurological event detection systems, by identifying some of the major obstacles in deploying these EEG systems in ambulatory and clinical environments so that the EEG technologies can emerge from the laboratory towards real-world settings, where they can have a real-impact on the lives of patients. In this context, the thesis tackles three major problems in EEG monitoring, namely: (i) the problem of head-movement artefacts in ambulatory EEG, (ii) the high numbers of false detections in state-of-the-art, automated, epileptiform activity detection systems and (iii) false detections in state-of-the-art, automated neonatal seizure detection systems. To accomplish this, the thesis employs a wide range of statistical, signal processing and machine learning techniques drawn from mathematics, engineering and computer science. The first body of work outlined in this thesis proposes a system to automatically detect head-movement artefacts in ambulatory EEG and utilises supervised machine learning classifiers to do so. The resulting head-movement artefact detection system is the first of its kind and offers accurate detection of head-movement artefacts in ambulatory EEG. Subsequently, addtional physiological signals, in the form of gyroscopes, are used to detect head-movements and in doing so, bring additional information to the head- movement artefact detection task. A framework for combining EEG and gyroscope signals is then developed, offering improved head-movement arte- fact detection. The artefact detection methods developed for ambulatory EEG are subsequently adapted for use in an automated epileptiform activity detection system. Information from support vector machines classifiers used to detect epileptiform activity is fused with information from artefact-specific detection classifiers in order to significantly reduce the number of false detections in the epileptiform activity detection system. By this means, epileptiform activity detection which compares favourably with other state-of-the-art systems is achieved. Finally, the problem of false detections in automated neonatal seizure detection is approached in an alternative manner; blind source separation techniques, complimented with information from additional physiological signals are used to remove respiration artefact from the EEG. In utilising these methods, some encouraging advances have been made in detecting and removing respiration artefacts from the neonatal EEG, and in doing so, the performance of the underlying diagnostic technology is improved, bringing its deployment in the real-world, clinical domain one step closer.

Early biomarkers to predict grade of encephalopathy following hypoxic ischaemic injury

The standard early markers for identifying and grading HIE severity, are not sufficient to ensure all children who would benefit from treatment are identified in a timely fashion. The aim of this thesis was to explore potential early biomarkers of HIE. Methods: To achieve this a cohort of infants with perinatal depression was prospectively recruited. All infants had cord blood samples drawn and biobanked, and were assessed with standardised neurological examination, and early continuous multi-channel EEG. Cord samples from a control cohort of healthy infants were used for comparison. Biomarkers studied included; multiple inflammatory proteins using multiplex assay; the metabolomics profile using LC/MS; and the miRNA profile using microarray. Results: Eighty five infants with perinatal depression were recruited. Analysis of inflammatory proteins consisted of exploratory analysis of 37 analytes conducted in a sub-population, followed by validation of all significantly altered analytes in the remaining population. IL-6 and IL-6 differed significantly in infants with a moderate/severely abnormal vs. a normal-mildly abnormal EEG in both cohorts (Exploratory: p=0.016, p=0.005: Validation: p=0.024, p=0.039; respectively). Metabolomic analysis demonstrated a perturbation in 29 metabolites. A Cross- validated Partial Least Square Discriminant Analysis model was developed, which accurately predicted HIE with an AUC of 0.92 (95% CI: 0.84-0.97). Analysis of the miRNA profile found 70 miRNA significantly altered between moderate/severely encephalopathic infants and controls. miRNA target prediction databases identified potential targets for the altered miRNA in pathways involved in cellular metabolism, cell cycle and apoptosis, cell signaling, and the inflammatory cascade. Conclusion: This thesis has demonstrated that the recruitment of a large cohortof asphyxiated infants, with cord blood carefully biobanked, and detailed early neurophysiological and clinical assessment recorded, is feasible. Additionally the results described, provide potential alternate and novel blood based biomarkers for the identification and assessment of HIE.

Remembrance of the ancestors in contemporary paganism: Lineage, identity, and cultural belonging in the Irish context

This article explores some of the ways of remembering and honouring the ancestors in contemporary Pagan religious traditions, with a focus on the Irish context. An overview is provided of how the "ancestors" are conceptualised within Paganism, as well as where they are believed to be located in the afterlife or Otherworld. Veneration of ancestral peoples is a significant part of many Pagan rituals. Some methods of honouring the dead, and contacting the dead, through ritual practices are described. Remembering and honouring the dead, whether distant forebears or more recent relatives, is particularly important during the Pagan celebration of the festival of Samhain, feast of the dead, on October 31. Issues around ancestors, lineages and ethnicity are significant in many Pagan traditions, and attention is paid to these factors in terms of the Irish Pagan community's sense of cultural belonging as well as their sense of place in a physical respect in relation to the landscape, proximity of sacred sites, and other features of their geographical location.

Neonatal EEG classification using atomic decomposition

The electroencephalogram (EEG) is an important noninvasive tool used in the neonatal intensive care unit (NICU) for the neurologic evaluation of the sick newborn infant. It provides an excellent assessment of at-risk newborns and formulates a prognosis for long-term neurologic outcome.The automated analysis of neonatal EEG data in the NICU can provide valuable information to the clinician facilitating medical intervention. The aim of this thesis is to develop a system for automatic classification of neonatal EEG which can be mainly divided into two parts: (1) classification of neonatal EEG seizure from nonseizure, and (2) classifying neonatal background EEG into several grades based on the severity of the injury using atomic decomposition. Atomic decomposition techniques use redundant time-frequency dictionaries for sparse signal representations or approximations. The first novel contribution of this thesis is the development of a novel time-frequency dictionary coherent with the neonatal EEG seizure states. This dictionary was able to track the time-varying nature of the EEG signal. It was shown that by using atomic decomposition and the proposed novel dictionary, the neonatal EEG transition from nonseizure to seizure states could be detected efficiently. The second novel contribution of this thesis is the development of a neonatal seizure detection algorithm using several time-frequency features from the proposed novel dictionary. It was shown that the time-frequency features obtained from the atoms in the novel dictionary improved the seizure detection accuracy when compared to that obtained from the raw EEG signal. With the assistance of a supervised multiclass SVM classifier and several timefrequency features, several methods to automatically grade EEG were explored. In summary, the novel techniques proposed in this thesis contribute to the application of advanced signal processing techniques for automatic assessment of neonatal EEG recordings.