The level structures of some single closed shell nuclei (⁸⁷₃₇Rb₅₀ and ⁸⁸₃₈Sr₅₀) and nearly closed shell nuclei (⁸⁷₃₈Sr₄₉ and ⁸⁸₃₇Rb₅₁) have been determined by means of beta decay processes of ⁸⁷Kr, ⁸⁸Kr and ⁸⁸Rb to final states ⁸⁷Rb, ⁸⁸Rb and ⁸⁸Sr respectively, and by means of the thermal neutron capture reaction on strontium (⁸⁶Sr(n,ɣ)⁸⁷Sr and ⁸⁷Sr(n,ɣ)⁸⁸Sr). The gamma radiation was studied using a Ge(Li) spectrometer and a Ge(Li)-NaI(Tl) coincidence spectrometer. Beta groups were identified using a plastic scintillator and a plastic-NaI(Tl) coincidence spectrometer. Spins and parities were determined for some of the levels from the deduced decay schemes. / Thesis / Doctor of Philosophy (PhD)

<p> The level structure of the Odd-A nucleus 163Lu has been studied by the 148Sm (19F,4n) 163Lu reaction through gamma-ray singles and gamma-gamma coincidence methods.</p> <p> A number of rotational band structures have been observed up to a spin of 43/2. The backbending behaviour of the two signatures of the h11/2 band, α = -1/2 and α = 1/2, has been observed. The critical frequencies for the backbends are wc = 0.264 and 0.284 respectively.</p> / Thesis / Master of Science (MSc)

<p> A variety of experiments has been performed in order to establish and identify the states in 191Ir and 193Ir. From radioactive decay, the energies and intensities of the gamma rays and internal conversion electrons have been measured with high precision using Ge(Li) detectors and the Chalk River π√2 spectrometer. A series of gamma-gamma coincidence experiments were performed using Ge(Li) detectors. The gamma rays following Coulomb excitation of 191Ir and 193Ir were also measured with Ge(Li) detectors. In addition, (3He,d) and (α,t) transfer reactions were performed and the reaction products analyzed by means of an Enge split-pole spectrograph. From these data, the energies, spins, parities and spectroscopic factors for the states in 191Ir and 193Ir have been established and interpreted in terms of the Nilsson model with band mixing.</p> / Thesis / Doctor of Philosophy (PhD)

A central tenet of this study is the notion that a reader's metacognition affects understanding. Identifying the organisational structure of text is a valuable tool for comprehending and recalling the writer's message. In this study, participants learned to identify text structure and to direct use of that knowledge toward facilitating their academic work. The research is about students acquiring a new strategy and adjusting it to meet the academic requirements of authentic tasks in their real life context. Theoretical bases for this research included metacognition, strategy acquisition, and top-level structure strategy. A review of the literature was conducted into teacher education, lifelong literacy, and top-level structure strategy. It uncovered limited data on strategic behaviour involving the target strategy in authentic contexts. Using case study method I examined if and how student teachers developed learning behaviour using top-level structure strategy (TLS) as the target strategy. This provided a theorization of the process by which each participant became a strategist. The theory describes and predicts that some learners adopt a strategy and find it useful, some adopt a strategy and then adapt it to suit perceived needs and complement existing strategies, and others try the target strategy, decide it is not effective, and reject it. The theory, while attractive, needs to be tested beyond limitations of the method used here, and warrants replication studies, particularly broader research using quantitative methods. A qualitative, case study design was used to examine and describe the effects of strategic instructional intervention. The study was conducted in the school of early childhood teacher education in which the researcher works as lecturer and Year 1 Dean. Ethical consideration was given to the recruitment process to ensure participants' well-being and volunteers were sought from among Year 2 students. Four women participated in the study, three enrolled full-time, and one enrolled part-time. Data were gathered from pre- and post-intervention tasks and questionnaires, semi-structured interviews, focus groups, and written journals. They were analysed using thematic methods of analysis. A final member-check with participants was conducted eight months after the end of intervention and data collection. Study findings provided insights into students' academic experiences. Prior to an instructional intervention, participants used a range of study strategies in academic work with limited metacognitive awareness. Instruction about top-level strategy benefited them in direct ways by providing a top-level structuring technique for completing academic tasks, and in indirect ways by providing a metalanguage for thinking about strategic behaviour, evaluating it, and customizing their technique. Comparison of task performance and questionnaire responses demonstrated qualitative changes in participants' approaches to reading text after instruction. Findings provided the basis for theorizing about participants' metacognitive development across the intervention. Interviews and focus groups provided additional information regarding participants' cognitive self-awareness, active engagement in learning, and application and adaptation of target strategy. Journal entries exemplified participants' authentic applications of the strategy and provided descriptions of their strategic behaviour. The instructional intervention affected participants' perceptions of the academic experience. They became more overtly reflective about how they read and wrote, particularly in relation to assessment items, and more expressive about the nature of their own learning. Study findings based on four participants in one particular context are sufficiently robust as case study research to warrant a broader quantitative study to test their generalization. Such an extension would provide guidance for teacher educators with decisions of policy and practice that might influence explicit attention to how student teachers in early childhood education learn about learning as part of their preparation for the profession.

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This dissertation aims to improve the performance of existing assignment-based dynamic origin-destination (O-D) matrix estimation models to successfully apply Intelligent Transportation Systems (ITS) strategies for the purposes of traffic congestion relief and dynamic traffic assignment (DTA) in transportation network modeling. The methodology framework has two advantages over the existing assignment-based dynamic O-D matrix estimation models. First, it combines an initial O-D estimation model into the estimation process to provide a high confidence level of initial input for the dynamic O-D estimation model, which has the potential to improve the final estimation results and reduce the associated computation time. Second, the proposed methodology framework can automatically convert traffic volume deviation to traffic density deviation in the objective function under congested traffic conditions. Traffic density is a better indicator for traffic demand than traffic volume under congested traffic condition, thus the conversion can contribute to improving the estimation performance. The proposed method indicates a better performance than a typical assignment-based estimation model (Zhou et al., 2003) in several case studies. In the case study for I-95 in Miami-Dade County, Florida, the proposed method produces a good result in seven iterations, with a root mean square percentage error (RMSPE) of 0.010 for traffic volume and a RMSPE of 0.283 for speed. In contrast, Zhou’s model requires 50 iterations to obtain a RMSPE of 0.023 for volume and a RMSPE of 0.285 for speed. In the case study for Jacksonville, Florida, the proposed method reaches a convergent solution in 16 iterations with a RMSPE of 0.045 for volume and a RMSPE of 0.110 for speed, while Zhou’s model needs 10 iterations to obtain the best solution, with a RMSPE of 0.168 for volume and a RMSPE of 0.179 for speed. The successful application of the proposed methodology framework to real road networks demonstrates its ability to provide results both with satisfactory accuracy and within a reasonable time, thus establishing its potential usefulness to support dynamic traffic assignment modeling, ITS systems, and other strategies.

Mathematical modelling problems are embedded in written, representational, and graphic text. For students to actively engage in the mathematical-modelling process, they require literacy. Of critical importance is the comprehension of the problems' text information, data, and goals. This design-research study investigated the application of top-level structuring; a literary, organisational, structuring strategy, to mathematical-modelling problems. The research documents how students' mathematical modelling was changed when two classes of Year 4 students were shown, through a series of lessons, how to apply top-level structure to two scientifically-based, mathematical-modelling problems. The methodology used a design-based research approach, which included five phases. During Phase One, consultations took place with the principal and participant teachers. As well, information on student numeracy and literacy skills was gathered from the Queensland Year 3 'Aspects of Numeracy' and 'Aspects of Literacy' tests. Phase Two was the initial implementation of top-level structure with one class of students. In Phase Three, the first mathematical-modelling problem was implemented with the two Year 4 classes. Data was collected through video and audio taping, student work samples, teacher and researcher observations, and student presentations. During Phase Four, the top-level structure strategy was implemented with the second Year 4 class. In Phase Five, the second mathematical-modelling problem was investigated by both classes, and data was again collected through video and audio taping, student work samples, teacher and researcher observations, and student presentations. The key finding was that top-level structure had a positive impact on students' mathematical modelling. Students were more focussed on mathematising, acquired key mathematical knowledge, and used high-level, mathematically-based peer questioning and responses after top-level structure instruction. This research is timely and pertinent to the needs of mathematics education today because of its recognition of the need for mathematical literacy. It reflects international concerns on the need for more research in problem solving. It is applicable to real-world problem solving because mathematical-modelling problems are focussed in real-world situations. Finally, it investigates the role literacy plays in the problem-solving process.

The aim of this thesis is to analyse Italian political parties, which are active in both state and regional governance level. The research is focused on the internal structure of political parties and tries to understand, how this structure is influenced by decentralization. The thesis is based on the theoretical framework of stratarchical organization of the political parties in multilevel political environment. The empirical part is dedicated to the test of the hypothesis claiming that the internal organization of Italian political parties is stratarchical. The research method is the analysis of formal profiles of selected political parties (Il Popolo della Libertá, Partito Democratico, Lega Nord and Unione di Centro). The topic is set into the time period 1993 - 2014. Powered by TCPDF (www.tcpdf.org)