Guiding stakeholders to participate in Marine Strategy Framework implementation

Large marine areas and regional seas present a challenge in terms of management. They are often bordered by numerous maritime jurisdictions; with multi-use and multi-sector environments; involving varying governance arrangements; and generation of sufficient levels of data to best inform decision-makers. Marine management at the regional scale involves a range of mechanisms and approaches to ensure all relevant stakeholders have an opportunity to engage in the process; and these approaches can differ in their legal and regulatory conditions. At present, no such comparable structures exist at the transnational level for the ecosystem-based management of the Celtic Sea. Against this backdrop, a participative process, involving representatives from differing sectors of activity in the Celtic Sea spanning four Member States, was established for the purpose of identifying realistic and meaningful management principles in line with the goals of the Marine Strategy Framework Directive.

A facilities maintenance management process based on degradation prediction using sensed data

Energy efficiency and user comfort have recently become priorities in the Facility Management (FM) sector. This has resulted in the use of innovative building components, such as thermal solar panels, heat pumps, etc., as they have potential to provide better performance, energy savings and increased user comfort. However, as the complexity of components increases, the requirement for maintenance management also increases. The standard routine for building maintenance is inspection which results in repairs or replacement when a fault is found. This routine leads to unnecessary inspections which have a cost with respect to downtime of a component and work hours. This research proposes an alternative routine: performing building maintenance at the point in time when the component is degrading and requires maintenance, thus reducing the frequency of unnecessary inspections. This thesis demonstrates that statistical techniques can be used as part of a maintenance management methodology to invoke maintenance before failure occurs. The proposed FM process is presented through a scenario utilising current Building Information Modelling (BIM) technology and innovative contractual and organisational models. This FM scenario supports a Degradation based Maintenance (DbM) scheduling methodology, implemented using two statistical techniques, Particle Filters (PFs) and Gaussian Processes (GPs). DbM consists of extracting and tracking a degradation metric for a component. Limits for the degradation metric are identified based on one of a number of proposed processes. These processes determine the limits based on the maturity of the historical information available. DbM is implemented for three case study components: a heat exchanger; a heat pump; and a set of bearings. The identified degradation points for each case study, from a PF, a GP and a hybrid (PF and GP combined) DbM implementation are assessed against known degradation points. The GP implementations are successful for all components. For the PF implementations, the results presented in this thesis find that the extracted metrics and limits identify degradation occurrences accurately for components which are in continuous operation. For components which have seasonal operational periods, the PF may wrongly identify degradation. The GP performs more robustly than the PF, but the PF, on average, results in fewer false positives. The hybrid implementations, which are a combination of GP and PF results, are successful for 2 of 3 case studies and are not affected by seasonal data. Overall, DbM is effectively applied for the three case study components. The accuracy of the implementations is dependant on the relationships modelled by the PF and GP, and on the type and quantity of data available. This novel maintenance process can improve equipment performance and reduce energy wastage from BSCs operation.

The implementation of a literacy intervention 'Station Teaching' in infant classes in Irish primary schools

Background: I conducted my research in the context of The National Literacy Strategy (DES, 2011), which maintains that every young person should be literate and it outlines targets for improving literacy in schools from 2011 to 2020. There has been much debate on the teaching of literacy and in particular the teaching of reading. Clark (2014) outlines how learning to read should be a developmental language process and that the approaches in the early years of schooling will colour the children’s motivation and their perception of reading as a purposeful activity. The acquisition of literacy begins in the home but this study focuses on the implementation of a literacy intervention Station Teaching in the infant classes in primary school. Station Teaching occurs when a class is divided into four or five small groups of pupils and they receive intensive tuition at four or five different Stations with the help of Support teachers: New Reading, Familiar Reading, Phonics, Writing and Oral Language. Research Questions: These research questions frame my study: How is Station Teaching implemented? What is the experience of the intervention Station Teaching from the participants’ point of view: teachers, pupils, parents? What notion of literacy is Station Teaching facilitating? Methods: I chose a pragmatic parallel mixed methods design as suggested by Mertens (2010). I collected and analysed both the quantitative and qualitative data to answer the study’s research questions. In the study the quantitative data were collected from a questionnaire issued to 21 schools in Ireland. I used Excel as a data management package and thematic analysis to analyse and present the data in themes. I collected qualitative data from a case study in a school. This data included observations of two classes over a period of a year; interviews with teachers, pupils and parents; children’s drawings, photographs, teachers’ diaries and video evidence. I analysed and presented the evidence from the qualitative data in themes. Main Findings: There are many skills and strategies that are essential to effective literacy teaching in the early years including phonological awareness, phonics, vocabulary, fluency, comprehension and writing. These skills can be taught during Station Teaching. Early intervention in the early years is essential to pupils’ acquisition of literacy. The expertise of the teacher is key to improving the literacy achievement of pupils Teachers and pupils enjoy participating in ST. Pupils are motivated to read and engage in meaningful activities during ST. Staff collaboration is vital for ST to succeed ST facilitates small group work and teachers can differentiate accordingly while including all pupils in the groups. Pupils’ learning is extended in ST but extension activities need to be addressed in the Writing Station. More training should be provided for teachers on the implementation of ST and more funding for resources should be available to schools Significant contribution of the work: The main significance of the study includes: insights into the classroom implementation of Station Teaching in infant classes and extensive research into characteristics of an effective teacher of literacy.

Development of a continuous process for α-thio-β-chloroacrylamide synthesis with enhanced control of a cascade transformation

A continuous process strategy has been developed for the preparation of α-thio-β chloroacrylamides, a class of highly versatile synthetic intermediates. Flow platforms to generate the α-chloroamide and α-thioamide precursors were successfully adopted, progressing from the previously employed batch chemistry, and in both instances afford a readily scalable methodology. The implementation of the key α-thio-β-chloroacrylamide casade as a continuous flow reaction on a multi-gram scale is described, while the tuneable nature of the cascade, facilitated by continuous processing, is highlighted by selective generation of established intermediates and byproducts.