Chemoenzymatic routes to enantiopure hydroxytetrahydrofurans: muscarine and its analogues

Muscarine was identified as an active principle of the poisonous mushroom Amanita muscaria over 170 years ago and has been identified as an agonist of acetylcholine. The synthesis of all stereoisomers of muscarine have been accomplished at this stage by chemical methods and the biological activity of these compounds tested. A number of synthetic routes to enantiomerically pure muscarine and its analogues have been published. In this work, we are focussed on the use of a novel biotransformation strategy to access these compounds. Asymmetric synthesis involves targeting a synthetic pathway leading to one enantiomer of a compound and biocatalysis is one strategy used in asymmetric synthesis. Chapter 1 consists of a review of the relevant literature pertaining to the synthesis and stereoselective transformations of 3-hydroxytetrahydrofuranss. A review of synthetic routes to these compounds is presented, with a particular focus on routes to the natural product muscarine and its analogues. Chapter 2 discusses the preparative routes to the 3-hydroxytetrahydrofurans via 3(2H)- furanones. Steps amongst which include Rh(II) mediate cyclisation and kinetic resolution via baker’s yeast mediated carbonyl reduction, resulting in enantioenriched 3- hydroxytetrahydrofuran derivatives. Finally, application of this methodology to the preparation of all four enantiomers of an analogue of desmethylmuscarine and the synthesis of epimuscarine is described. Chapter 3 consists of a detailed experimental section outlining the synthetic procedures employed.

Retrieval of grassland biophysical parameters using multitemporal optical and radar satellite data

The amount and quality of available biomass is a key factor for the sustainable livestock industry and agricultural management related decision making. Globally 31.5% of land cover is grassland while 80% of Ireland’s agricultural land is grassland. In Ireland, grasslands are intensively managed and provide the cheapest feed source for animals. This dissertation presents a detailed state of the art review of satellite remote sensing of grasslands, and the potential application of optical (Moderate–resolution Imaging Spectroradiometer (MODIS)) and radar (TerraSAR-X) time series imagery to estimate the grassland biomass at two study sites (Moorepark and Grange) in the Republic of Ireland using both statistical and state of the art machine learning algorithms. High quality weather data available from the on-site weather station was also used to calculate the Growing Degree Days (GDD) for Grange to determine the impact of ancillary data on biomass estimation. In situ and satellite data covering 12 years for the Moorepark and 6 years for the Grange study sites were used to predict grassland biomass using multiple linear regression, Neuro Fuzzy Inference Systems (ANFIS) models. The results demonstrate that a dense (8-day composite) MODIS image time series, along with high quality in situ data, can be used to retrieve grassland biomass with high performance (R2 = 0:86; p < 0:05, RMSE = 11.07 for Moorepark). The model for Grange was modified to evaluate the synergistic use of vegetation indices derived from remote sensing time series and accumulated GDD information. As GDD is strongly linked to the plant development, or phonological stage, an improvement in biomass estimation would be expected. It was observed that using the ANFIS model the biomass estimation accuracy increased from R2 = 0:76 (p < 0:05) to R2 = 0:81 (p < 0:05) and the root mean square error was reduced by 2.72%. The work on the application of optical remote sensing was further developed using a TerraSAR-X Staring Spotlight mode time series over the Moorepark study site to explore the extent to which very high resolution Synthetic Aperture Radar (SAR) data of interferometrically coherent paddocks can be exploited to retrieve grassland biophysical parameters. After filtering out the non-coherent plots it is demonstrated that interferometric coherence can be used to retrieve grassland biophysical parameters (i. e., height, biomass), and that it is possible to detect changes due to the grass growth, and grazing and mowing events, when the temporal baseline is short (11 days). However, it not possible to automatically uniquely identify the cause of these changes based only on the SAR backscatter and coherence, due to the ambiguity caused by tall grass laid down due to the wind. Overall, the work presented in this dissertation has demonstrated the potential of dense remote sensing and weather data time series to predict grassland biomass using machine-learning algorithms, where high quality ground data were used for training. At present a major limitation for national scale biomass retrieval is the lack of spatial and temporal ground samples, which can be partially resolved by minor modifications in the existing PastureBaseIreland database by adding the location and extent ofeach grassland paddock in the database. As far as remote sensing data requirements are concerned, MODIS is useful for large scale evaluation but due to its coarse resolution it is not possible to detect the variations within the fields and between the fields at the farm scale. However, this issue will be resolved in terms of spatial resolution by the Sentinel-2 mission, and when both satellites (Sentinel-2A and Sentinel-2B) are operational the revisit time will reduce to 5 days, which together with Landsat-8, should enable sufficient cloud-free data for operational biomass estimation at a national scale. The Synthetic Aperture Radar Interferometry (InSAR) approach is feasible if there are enough coherent interferometric pairs available, however this is difficult to achieve due to the temporal decorrelation of the signal. For repeat-pass InSAR over a vegetated area even an 11 days temporal baseline is too large. In order to achieve better coherence a very high resolution is required at the cost of spatial coverage, which limits its scope for use in an operational context at a national scale. Future InSAR missions with pair acquisition in Tandem mode will minimize the temporal decorrelation over vegetation areas for more focused studies. The proposed approach complements the current paradigm of Big Data in Earth Observation, and illustrates the feasibility of integrating data from multiple sources. In future, this framework can be used to build an operational decision support system for retrieval of grassland biophysical parameters based on data from long term planned optical missions (e. g., Landsat, Sentinel) that will ensure the continuity of data acquisition. Similarly, Spanish X-band PAZ and TerraSAR-X2 missions will ensure the continuity of TerraSAR-X and COSMO-SkyMed.

Occupant location prediction in smart buildings using association rule mining

Heating, ventilation, air conditioning (HVAC) systems are significant consumers of energy, however building management systems do not typically operate them in accordance with occupant movements. Due to the delayed response of HVAC systems, prediction of occupant locations is necessary to maximize energy efficiency. We present an approach to occupant location prediction based on association rule mining, allowing prediction based on historical occupant locations. Association rule mining is a machine learning technique designed to find any correlations which exist in a given dataset. Occupant location datasets have a number of properties which differentiate them from the market basket datasets that association rule mining was originally designed for. This thesis adapts the approach to suit such datasets, focusing the rule mining process on patterns which are useful for location prediction. This approach, named OccApriori, allows for the prediction of occupants’ next locations as well as their locations further in the future, and can take into account any available data, for example the day of the week, the recent movements of the occupant, and timetable data. By integrating an existing extension of association rule mining into the approach, it is able to make predictions based on general classes of locations as well as specific locations.

Geografia emocional d'un exode: La retirada republicana de 1939

This thesis proposes to trace and explore an emotional geography and cartography of the republican withdrawal at the end of the Spanish Civil War in Catalonia during the months of January and February 1939. Thus, it complements existing historiographical scholarship on the Spanish Civil War and Spanish Republican Exile, especially with regard to what was experienced in Catalan territory. However, its main purpose is not that of the historian, to reveal and explain unexplored stories, but to locate existing narratives, memoirs, journals and testimonies carefully in the landscape in which they took place, exposing their emotional bonds with the places and spaces of the withdrawal of the protagonists of the Republican exodus of 1939. Whilst there has been significant work in recent years to “recover” spaces associated with violent of traumatic memories of conflict and displacement, including the creation of a network of “Democratic Memory” places in Catalonia, the spaces explored in this thesis have not so far been construed as places of memory. In part, this is because of the diversity of emotions and affective responses they provoked and continue to evoke, but also because the geography of the Retirada is characterized by mobility and multiplicity. So instead of an historical approach, despite being influenced by Walter Benjamin's concept of history, this thesis draws on existing methods and approaches related to cultural geography, in particular, the emerging interdisciplinary field known as emotional geographies. In order to create a vision of La Retirada that is sensitive to its mobility and multiplicity, the primary methodology used has been that of interdisciplinary assemblage, juxtaposing images, documents and stories of past and present, in a process redolent of that which Marianne Hirsch calls "post-memory".

Cork’s international trade during the first industrial revolution

This thesis explores the impact international trade and commercial agreements had on the economic and industrial development of Cork during the first industrial revolution. From the Act of Union onwards Cork moved from a region where trade became increasingly reliant on Britain at the expense of trade that had been cultivated over the eighteenth century with the Americas and Europe. The legislative underpinnings of Cork’s trade is the focus of this research and how this changed after the Act of Union. It begins by examining the transatlantic trade of Cork city and the issues faced in the West Indies trade due to the growth of the United States. It will also consider the impact of the Napoleonic Wars on Cork’s trade with both the Americas and continental Europe. The conclusion of the Napoleonic Wars saw the United Kingdom negotiate treaties and agreements that would have a direct impact upon Cork’s merchants. This thesis will address the degree to which the mercantile community in Cork were able to influence policy that directly impacted upon their trade networks. It will then examine the trade between Cork and the United Kingdom and assess the impact of the Union on the ability of Cork’s merchants to affect political change. The operation of the Committee of Merchants in Cork is detailed and their responses to the changing nature of international trade. The thesis finishes by examining the underdevelopment of Cork’s transportation networks. This work will place Cork’s international trade in both its national and international context and argues that Cork’s mercantile community were overly reliant on protectionist legislation to further Cork’s trade as opposed to investment in industrial development. Volumetric data on the trade of Cork city has been transcribed and made available in a relational database to support the arguments made in this thesis and to facilitate future research on this subject. This database is accessible at http://modernirishvenice.com/.

Too beautiful for thieves and pickpockets: a history of the Victorian convict prison on Spike Island

Spike Island holds a unique place among the world’s prisons: a welcome necessity for the prison authorities of Ireland, a remote and dangerous posting for its staff, a grand hell for those convicted to stay behind its walls. For almost four decades the Victorian prison on Spike Island was home to Ireland’s most serious and notorious criminals. Established in the midst of one of the worst famines in global history, this huge facility became the largest prison in what was then the United Kingdom, dwarfing institutions like Dartmoor, Pentonville, Mountjoy and Kilmainham. High death rates during its formative years meant that many of its malnourished inmates were laid to rest beneath its sod. Yet Spike Island was to become a beacon of penal reform, influencing modern correctional systems in countries as far apart as the USA and Germany. The story told in this book is one that is, in turn, dramatic, shocking, touching and humorous. The life of the prison was vibrant, peopled by the unfortunate of the society alongside those who committed serious, sometimes gruesome, crimes. This is the story of the establishment and evolution of the prison over 36 years, the often fascinating lives of prisoners and staff and of a time when a renowned Irish fortress of British military power entered the annals of penal infamy.

Content-aware compression for big textual data analysis

A substantial amount of information on the Internet is present in the form of text. The value of this semi-structured and unstructured data has been widely acknowledged, with consequent scientific and commercial exploitation. The ever-increasing data production, however, pushes data analytic platforms to their limit. This thesis proposes techniques for more efficient textual big data analysis suitable for the Hadoop analytic platform. This research explores the direct processing of compressed textual data. The focus is on developing novel compression methods with a number of desirable properties to support text-based big data analysis in distributed environments. The novel contributions of this work include the following. Firstly, a Content-aware Partial Compression (CaPC) scheme is developed. CaPC makes a distinction between informational and functional content in which only the informational content is compressed. Thus, the compressed data is made transparent to existing software libraries which often rely on functional content to work. Secondly, a context-free bit-oriented compression scheme (Approximated Huffman Compression) based on the Huffman algorithm is developed. This uses a hybrid data structure that allows pattern searching in compressed data in linear time. Thirdly, several modern compression schemes have been extended so that the compressed data can be safely split with respect to logical data records in distributed file systems. Furthermore, an innovative two layer compression architecture is used, in which each compression layer is appropriate for the corresponding stage of data processing. Peripheral libraries are developed that seamlessly link the proposed compression schemes to existing analytic platforms and computational frameworks, and also make the use of the compressed data transparent to developers. The compression schemes have been evaluated for a number of standard MapReduce analysis tasks using a collection of real-world datasets. In comparison with existing solutions, they have shown substantial improvement in performance and significant reduction in system resource requirements.

Characterisation of an ubiquitin binding CUE domain in presenilin-1

The presenilins are the catalytic component of the gamma-secretase protease complex, involved in the regulated intramembrane proteolysis of numerous type-1 transmembrane proteins, including Amyloid precursor protein (APP) and Notch. In addition to their role in the γ-secretase complex the presenilins are involved in a number of γ-secretase independent functions such as calcium homeostasis, apoptosis, inflammation and protein trafficking. Presenilin function is known to be regulated through posttranslational modifications like endoproteolysis, phosphorylation and ubiquitination. Using a bioinformatics and protein sequence analysis approach this lab has identified a putative ubiquitin binding CUE domain in the presenilins. The aim of this project was to characterise the function of the presenilin CUE domains. Firstly, the presenilins are shown to contain a functional ubiquitin-binding CUE domain that preferentially binds to K63-linked polyubiquitin chains. The PS1 CUE domain is shown to be dispensable for PS1 endoproteolysis and γ-secretase mediated cleavage of APP, Notch and IL-1R1. This suggests the PS1 CUE domain is involved in a γ-secretase independent PS1 function. Our hypothesis is that the PS1 CUE domain is involved in regulating PS1’s intermolecular protein-protein interactions or intramolecular PS1:PS1 interactions. Here the PS1 CUE domain is shown to be dispensable for the interaction of PS1 and the K63-linked polyubiquitinated PS1 interacting proteins P75NTR, IL-1R1, TRAF6, TRAF2 and RIP1. To further investigate PS1 CUE domain function a mass spectrometry proteomics based approach is used to identify PS1 CUE domain interacting proteins. This proteomics approach demonstrated that the PS1 CUE domain is not required for PS1 dimerization. Instead a number of proteins thatinteract with the PS1 CUE domain are identified as well as proteins whose interaction with PS1 is downregulated by the presence of the PS1 CUE domain. Bioinformatic analysis of these proteins suggests possible roles for the PS1 CUE domain in regulating cell signalling, ubiquitination or cellular trafficking.

Reduction of salt in yeasted wheat bread: impact on bread quality and solutions using sourdough fermented by functional lactic acid bacteria strains

The dietary intake of sodium chloride has increased considerably over the last few decades due to changes in the human diet. This higher intake has been linked to a number of diseases including hypertension and other cardiovascular diseases. Numerous international health agencies, as well as the food industry, have now recommended a salt intake level of 5-6 g daily, approximately half of the average current daily intake level. Cereal products, and in particular bread, are a major source of salt in the Western diet. Therefore, any reduction in the level of salt in bread could have a major impact on global health. However, salt is a critical ingredient in bread production, and its reduction can have a deleterious effect on the production process as well as on the final bread quality characteristics such as shelf-life, bread volume and sensory characteristics, all deviating from the bakers’ and consumers’ expectations. This work addresses the feasibility of NaCl reduction in wheat bread focusing on options to compensate NaCl with the use of functional sourdoughs. Three strains were used for the application of low-salt bread; L. amylovorus DSM19280, W. cibaria MG1 and L. reuteri FF2hh2. The multifunctional strain L. reuteri FF2hh2 was tested the first time and its application could be demonstrated successfully. The functionalities were based on the production of exopolysaccharides as well as the production of antifungal compounds. While the exopolysaccharides, mainly high molecular dextrans, positively influenced mainly bread loaf volume, crumb structure and staling rate, the strains producing antifungal compounds prolonged the microbial shelf life significantly and compensated the lack of salt. The impact on the sensory characteristics of bread were evaluated by descriptive sensory evaluation. The increase in surface area as well as the presence of organic acids impacted significantly on the flavour profile of the sourdough bread samples. The flavour attribute “salt” could be enhanced by sourdough addition and increased the salty perception. Furthermore, a trained sensory panel evaluated for the first time the impact of yeast activity, based on different salt and yeast concentrations, on the volatile aroma profile of bread crumb samples. The analytical measurements using high resolution gas chromatography and proton-transfer-reaction mass spectrometry (PTR-MS) resulted in significantly different results based on different yeast activities. Nevertheless, the extent of the result could not be recognised by the sensory panel analysing the odour profile of the bread crumb samples. Hence, the consumer cannot recognised low-salt bread by its odour. The use of sourdough is a natural option to overcome the broad range of technological issues caused by salt reduction and also a more popular alternative compared to existing chemical salt replacers.

The effects of formulation and processing on surface characteristics and functional properties of dairy powders

The objectives of this thesis were to (i) study the effect of increasing protein concentration in milk protein concentrate (MPC) powders on surface composition and sorption properties; (ii) examine the effect of increasing protein content on the rehydration properties of MPC; (iii) study the physicochemical properties of spraydried emulsion-containing powders having different water and oil contents; (iv) analyse the effect of protein type on water sorption and diffusivity properties in a protein/lactose dispersion, and; (v) characterise lactose crystallisation and emulsion stability of model infant formula containing intact or hydrolysed whey proteins. Surface composition of MPC powders (protein contents 35 - 86 g / 100 g) indicated that fat and protein were preferentially located on the surface of powders. Low protein powder (35 g / 100 g) exhibited lactose crystallisation, whereas powders with higher protein contents did not, due to their high protein: lactose ratio. Insolubility was evident in high protein MPCs and was primarily related to insolubility of the casein fraction. High temperature (50 °C) was required for dissolution of high protein MPCs (protein content > 60 g / 100 g). The effect of different oil types and spray-drying outlet temperature on the physicochemical properties of the resultant fat-filled powders was investigated and showed that increasing outlet temperature reduced water content, water activity and tapped bulk density, irrespective of oil type, and increased solvent-extractable free fat for all oil types and onset of glass transition (Tg) and crystallisation (Tcr) temperature. Powder dispersions of protein/lactose (0.21:1), containing either intact or hydrolysed whey protein (12 % degree of hydrolysis; DH), were spray-dried at pilot scale. Moisture sorption analysis at 25 °C showed that dispersions containing intact whey protein exhibited lactose crystallisation at a lower relative humidity (RH). Dispersions containing hydrolysed whey protein had significantly higher (P < 0.05) water diffusivity. Finally, a spray-dried model infant formula was produced containing hydrolysed or intact whey as the protein with sunflower oil as the fat source. Reconstituted, hydrolysed formula had a significantly (P < 0.05) higher fat globule size and lower emulsion stability than intact formula. Lactose crystallisation in powders occurred at higher RH for hydrolysed formula. In conclusion, this research has shown the effect of altering the protein type, protein composition, and oil type on the surface composition and physical properties of different dairy powders, and how these variations greatly affect their rehydration characteristics and storage stability.

Nanowires for 3d silicon interconnection – low temperature compliant nanowire-polymer film for z-axis interconnect

Semiconductor chip packaging has evolved from single chip packaging to 3D heterogeneous system integration using multichip stacking in a single module. One of the key challenges in 3D integration is the high density interconnects that need to be formed between the chips with through-silicon-vias (TSVs) and inter-chip interconnects. Anisotropic Conductive Film (ACF) technology is one of the low-temperature, fine-pitch interconnect method, which has been considered as a potential replacement for solder interconnects in line with continuous scaling of the interconnects in the IC industry. However, the conventional ACF materials are facing challenges to accommodate the reduced pad and pitch size due to the micro-size particles and the particle agglomeration issue. A new interconnect material - Nanowire Anisotropic Conductive Film (NW-ACF), composed of high density copper nanowires of ~ 200 nm diameter and 10-30 µm length that are vertically distributed in a polymeric template, is developed in this work to tackle the constrains of the conventional ACFs and serves as an inter-chip interconnect solution for potential three-dimensional (3D) applications.

Social paranoia and absurdist fiction in Cold War America and Soviet Russia: a comparative study

This thesis explores the theme of social paranoia as depicted in the Absurdist fiction of Cold War America and Soviet Russia. The central hypothesis informing this research maintains that, despite the ideology of moral and cultural “Otherness” constructed and reinforced by both nations throughout much of twentieth century, the US and the Soviet Union more often than not functioned as mirror images of paranoia and suspicion. Much of the fiction produced in Russia from the Revolution onwards and in the US during the Cold War period highlights how these two ostensibly irreconcilable nations were consumed by similar fears and gripped by an equally pervasive paranoia. These parallel conditions of anxiety and mistrust led to a surprising congruity of literary responses, which transcended the ideological divide between capitalism and communism and, as such, underscored the homogeny of fear which lay beneath the façade of constructed difference. I contend that, because Soviet Russia and the America of the Cold War period were nations consumed by fear and suspicion, authors living in both countries became preoccupied by the mechanics of such deeply paranoid societies. Consequently, much of the fiction of the US and the Soviet Union during this period was preoccupied with the themes of paranoia, conspiracy, intensive bureaucracy and the politicisation of science, which resulted in the terror of the Nuclear Age. This thesis explores how these central themes unite apparently diverse literary texts and illustrate the uniformity of terror which transcended both the physical and ideological boundaries separating the United States and the Soviet Union. In doing so, this research focuses primarily on the multi-faceted manifestations of paranoia in selected works by Soviet authors Mikhail Bulgakov, Daniil Kharms and Yuli Daniel, and American authors Joseph Heller, Thomas Pynchon and Kurt Vonnegut. Focusing on key works by each author, this research considers these texts as products of two culturally diverse, yet equally paranoid societies and explores their preoccupation with issues of spying, infiltration and conspiracy. This thesis thus emphasises how these authors counter simplistic notions of Cold War Otherness by revealing two nations possessed by a similar sense of vulnerability and insecurity. Furthermore, this thesis examines how this social anxiety is reinforced by the way in which these authors position issues such as the mechanics of the bureaucratic system and clandestine scientific experimentation as the focal point of the paranoid imagination. Ultimately, by examining the concordance of paranoiac representation in America and the Soviet Union during this period, I demonstrate that these ostensibly divergent nations harboured similar fears and insecurities.

A recessionary debate: who suffered more? A study of sectoral well-being and economic insecurity in Ireland

The aim of this thesis is to identify the relationship between subjective well-being and economic insecurity for public and private sector workers in Ireland using the European Social Survey 2010-2012. Life satisfaction and job satisfaction are the indicators used to measure subjective well-being. Economic insecurity is approximated by regional unemployment rates and self-perceived job insecurity. Potential sample selection bias and endogeneity bias are accounted for. It is traditionally believed that public sector workers are relatively more protected against insecurity due to very institution of public sector employment. The institution of public sector employment is made up of stricter dismissal practices (Luechinger et al., 2010a) and less volatile employment (Freeman, 1987) where workers are subsequently less likely to be affected by business cycle downturns (Clark and Postal-Vinay, 2009). It is found in the literature that economic insecurity depresses the well-being of public sector workers to a lesser degree than private sector workers (Luechinger et al., 2010a; Artz and Kaya, 2014). These studies provide the rationale for this thesis in testing for similar relationships in an Irish context. Sample selection bias arises when a selection into a particular category is not random (Heckman, 1979). An example of this is non-random selection into public sector employment based on personal characteristics (Heckman, 1979; Luechinger et al., 2010b). If selection into public sector employment is not corrected for this can lead to biased and inconsistent estimators (Gujarati, 2009). Selection bias of public sector employment is corrected for by using a standard Two-Step Heckman Probit OLS estimation method. Following Luechinger et al. (2010b), the propensity for individuals to select into public sector employment is estimated by a binomial probit model with the inclusion of the additional regressor Irish citizenship. Job satisfaction is then estimated by Ordinary Least Squares (OLS) with the inclusion of a sample correction term similar as is done in Clark (1997). Endogeneity is where an independent variable included in the model is determined within in the context of the model (Chenhall and Moers, 2007). The econometric definition states that an endogenous independent variable is one that is correlated with the error term (Wooldridge, 2010). Endogeneity is expected to be present due to a simultaneous relationship between job insecurity and job satisfaction whereby both variables are jointly determined (Theodossiou and Vasileiou, 2007). Simultaneity, as an instigator of endogeneity, is corrected for using Instrumental Variables (IV) techniques. Limited Information Methods and Full Information Methods of estimation of simultaneous equations models are assed and compared. The general results show that job insecurity depresses the subjective well-being of all workers in both the public and private sectors in Ireland. The magnitude of this effect differs among sectoral workers. The subjective well-being of private sector workers is more adversely affected by job insecurity than the subjective well-being of public sector workers. This is observed in basic ordered probit estimations of both a life satisfaction equation and a job satisfaction equation. The marginal effects from the ordered probit estimation of a basic job satisfaction equation show that as job insecurity increases the probability of reporting a 9 on a 10-point job satisfaction scale significantly decreases by 3.4% for the whole sample of workers, 2.8% for public sector workers and 4.0% for private sector workers. Artz and Kaya (2014) explain that as a result of many austerity policies implemented to reduce government expenditure during the economic recession, workers in the public sector may for the first time face worsening perceptions of job security which can have significant implications for their well-being (Artz and Kaya, 2014). This can be observed in the marginal effects where job insecurity negatively impacts the well-being of public sector workers in Ireland. However, in accordance with Luechinger et al. (2010a) the results show that private sector workers are more adversely impacted by economic insecurity than public sector workers. This suggests that in a time of high economic volatility, the institution of public sector employment held and was able to protect workers against some of the well-being consequences of rising insecurity. In estimating the relationship between subjective well-being and economic insecurity advanced econometric issues arise. The results show that when selection bias is corrected for, any statistically significant relationship between job insecurity and job satisfaction disappears for public sector workers. Additionally, in order to correct for endogeneity bias the simultaneous equations model for job satisfaction and job insecurity is estimated by Limited Information and Full Information Methods. The results from two different estimators classified as Limited Information Methods support the general findings of this research. Moreover, the magnitude of the endogeneity-corrected estimates are twice as large as those not corrected for endogeneity bias which is similarly found in Geishecker (2010, 2012). As part of the analysis into the effect of economic insecurity on subjective well-being, the effects of other socioeconomic variables and work-related variables are examined for public and private sector workers in Ireland.

Legends as music: new composition in the traditional Irish idiom

Engaging Ireland’s rich heritages of traditional music, story-telling, song, dance, and language, this doctoral composition project is a unique undertaking in the amalgamation of native art forms and the narrative realisation of Irish legends. The centrepiece of the project comprises of two collections of compositions inspired by the legends Oidhe Chloinne Lir (the tragic fate of the children of Lir) and Loinges Mac nUislenn (the exile of the sons of Uisliu). An interdisciplinary approach of traditional research and creative practice was employed in the development of this project, which informed and supported the formulation of personal and distinctive recensions of the chosen narratives, and the composition of over three hundred new works. Grounded in Irish traditional music, the compositional voice speaks in the familiar styles and structures of the idiom, and also resonates in contemporary and singular spaces. The Irish harping tradition is continued and extended in this research through the composition and recording of new music which is particularly suited to the instrument. Outputs include contextual, critical, and creative writings, recordings, video materials, musical scores, and storyboard and performance design artwork.

Caring and anxiety among registered nurses in an acute hospital setting

Background: Even though caring remains the essence of nursing it is still an ambiguous concept as the lens through which each nurse perceives caring differs. The differences are due to multiple factors including the setting in which the nurse works. Nurses experience high levels of anxiety when caring for patients in acute settings. Despite an abundance of published studies on caring there is a dearth of research available that focuses on the relationship between caring and anxiety. Aim: The aim of this research study was to investigate caring and anxiety in a sample of registered nurses working in an acute hospital and to determine the relationship between these and other variables. Method: A quantitative descriptive study using a correlational design was employed, with a sample of 280 registered nurses. The Caring Behaviours Inventory-24 was used to measure caring and the State Trait Anxiety Inventory to measure Anxiety. The study was guided by the Theory of Human Caring (Watson 2008). Findings: Nurses reported high levels of caring and low levels of anxiety. A statistical significant relationship was found between caring and anxiety and between caring and supportive work environment and job satisfaction. A statistical significant relationship was found between anxiety and work environment, job satisfaction gender, age, relationship status and education. Conclusion: This is the first study to investigate the relationship between caring and anxiety in an acute hospital setting. This research contributes to advancing nursing knowledge by providing evidence of the relationship between caring and anxiety among nurses in an acute hospital setting. Despite nurses reporting high levels of caring and low levels of anxiety, it is important to further enhance caring and reduce anxiety levels among all nurses. Thus, educators and managers need to explore strategies for the alleviation of anxiety among nurses, practising in acute care settings.