Japanese Americans have been identified as one of the most successful minority groups in the United States of America because of their achievement of high socioeconomic status. This study focuses on the degree and process of assimilation of Japanese Americans in this country in order to reconsider multiple assimilation theories of minority groups. Three questions were raised: 1) the extent to which both the second and third generation of Japanese Americans are assimilated into American society; 2) how far the third generation is assimilated compared to the second generation; and 3) what the identity of the second and third generation are.

Atmospheric aerosol particles also known as atmospheric particulate matter or particulate matter (PM) are microscopic particles (solid or liquid) suspended in air, which is one of six air pollutants in US air quality standard. PM is classified as coarse particles with diameters between 2.5 to 10 mm, fine particles with a diameter less than 2.5 mm (PM2.5), and ultrafine particles with the diameter less than 0.1 mm (PM0.1). Epidemiological studies have already showed the adverse health effects (such as asthma, lung cancer and respiratory and cardiovascular disease) resulted from exposure to the fine and ultrafine particles. Monitoring the PM concentration (i.e., either mass or surface area concentration of PM) is critical for the protection of public health and environment and for the regulatory control. Various PM sensors are now available in market. A majority of these PM sensors are optical sensors, whose readouts are highly depended on the physical property and composition of PM. Several PM monitors based on the measurement principle of electrical charging are also available. However, the empirical calibration of the readout of these electrical PM monitors via the use of standard dust particles makes it difficult to obtain the true mass concentration of PM when PM size distribution is different from that of standard dust. The overall objective of this dissertation is to advance our scientific knowledge on the performance of cost-effective PM monitors for measuring either mass or surface area concentration of fine and ultrafine PM. This thesis includes two parts: (1) is on the evaluation of existing PM sensor for PM mass concentration measurement; (2) is on the development of new PM monitor for PM surface area concentration measurement. For the first part of this dissertation, four low-cost optical sensors, one Personal Dust Monitor (PDM) and DustrakTM were experimentally evaluated. Particles in the size distribution having different mean size, standard deviation value and material were used as test aerosol particles. The readouts of these low-cost and portable sensors are compared to that of a standard TEOM (Tapered Element Oscillation Microbalance). For the second part of this dissertation, a new electrical PM monitor, consisting of a corona-based aerosol charger, a precipitator and high sensitive current meter, has been proposed for measuring surface area concentration of fine and ultrafine PM. Particles are electrically charged upon entering an electrical PM monitor. Instead of using Faraday cage and current meter to measure the charges carried by particles in existed electrical PM sensors, the new PM monitor measures the current carried by particles deposited directly on the wall of the precipitator. A thorough evaluation has been carried out to evaluate the fundamental performance of this new PM monitor. In addition, small cyclones (i.e., quadru-inlet and tapered-body cyclones) were also evaluated as the size-selective inlet of these PM sensors/monitors to minimize the potential interface from the presence of PM with large sizes in the air. The small quadru-inlet cyclone is to resolve the issue of directional sampling; and the tapered-body cyclones is to reduce the cyclone pressure drop while having small cyclone cutoff particle size. Each cyclone has been evaluated via the measurement of particle penetration curve and pressure drop. Semi-empirical models have been obtained for the prediction of cyclone performance.

Enrollment projections are used by school administrators to predict the number of students expected to attend a school district within a defined period of time. This dissertation examines methods used for making enrollment projections and seeks to improve these methods through the application of geographic principles. The presented thesis challenges the existing aspatial framework used to calculate grade progression rates, arguing that a spatial framework improves projection accuracy. Grade progression rates are the critical element in enrollment projections and this dissertation's major contribution is the analysis of four different grade progression rate calculations at the school district level. This dissertation also argues that grade progression rates represent spatial relationships of migration that exist between adjacent school districts and uses these spatial relationships to create a new spatial Bayesian approach. This dissertation demonstrates that geographic methods can be successfully integrated to improve enrollment project accuracy through the reduction of the small number problem. In addition, this research identifies the importance of smoothing effects of the modified cohort progression method when compared to Bayesian approaches.

The Weston Canyon area comprises the southern part of the Bannock Range and northwestern part of the Malad Range in southern Idaho. Geologic investigations of adjacent areas date from 1871. These investigations have led to detailed geologic reports that cover much of the Wasatch Range, Bear River Range, Malad Range, Portneuf Range, and Cache Valley. The geology of the southern part of the Bannock Range, however, has not been studied in detail, and it is the purpose of this investigation to map and describe the geology of the Weston Canyon area and to correlate it with previously described geology of the region.

No description available.

No description available.

This study explores the constructions of primary health care held by remote area nurses working in indigenous communities without resident medical practitioners, in the Northern Territory. Primary health care is increasingly permeating health policy in Australia, and nurses in remote areas are responsible for its implementation. The study investigates past and present discussions of the meaning of the concept of primary health care to begin to identify the major forces which have problematically impacted on its evolution and interpretation. It traces the threads which emerge from these forces through the more recent developments of health promotion and new pubflc health to explore the discourses and strategies they have produced, and which overtly and covertly influence the implementation of primary health care. Remote area nurses are individually interviewed and their discussions analysed to explore the constructions of primary health care which they hold. The analysis also explores some of the ways in which these constructions may have come to exist, the evident impact of current discourses, and the absence of effective support in the further development of these constructions. The remote area nurses' discussions display a view of primary health care as the most basic of health services, focussed on personal hygiene and the individual's responsibility in prevention of illness, operated through encounters which offer opportunities for education and basic curative care. While several of the nurses indicate discomfort with the paternalistic nature of such a service, none are aware of ways in which they might resolve their concerns about it. The study briefly explores positive approaches towards the democratization of health care, and examines the support needed by remote area nurses if primary health care is to be effectively implemented by them.

Doctor of Philosophy / All surveillance systems are based on an effective general surveillance system because this is the system that detects emerging diseases and the re-introduction of disease to a previously disease free area. General surveillance requires comprehensive coverage of the population through an extensive network of relationships between animal producers and observers and surveillance system officers. This system is under increasing threat in Australia (and many other countries) due to the increased biomass, animal movements, rate of disease emergence, and the decline in resource allocation for surveillance activities. The Australian surveillance system is state-based and has a complex management structure that includes State and Commonwealth government representatives, industry stakeholders (such as producer bodies) and private organisations. A developing problem is the decline in the effectiveness of the general surveillance system in the extensive (remote) cattle producing regions of northern Australia. The complex organisational structure of surveillance in Australia contributes to this, and is complicated by the incomplete capture of data (as demonstrated by slow uptake of electronic individual animal identification systems), poorly developed and integrated national animal health information systems, and declining funding streams for field and laboratory personnel and infrastructure. Of major concern is the reduction in contact between animal observers and surveillance personnel arising from the decline in resource allocation for surveillance. Fewer veterinarians are working in remote areas, fewer producers use veterinarians, and, as a result, fewer sick animals are being investigated by the general surveillance system. A syndrome is a collection of signs that occur in a sick individual. Syndromic surveillance is an emerging approach to monitoring populations for change in disease levels and is based on statistical monitoring of the distribution of signs, syndromes and associations between health variables in a population. Often, diseases will have syndromes that are characteristic and the monitoring of these syndromes may provide for early detection of outbreaks. Because the process uses general signs, this method may support the existing (struggling) general surveillance system for the extensive cattle producing regions of northern Australia. Syndromic surveillance systems offer many potential advantages. First, the signs that are monitored can be general and include any health-related variable. This generality provides potential as a detector of emerging diseases. Second, many of the data types used occur early in a disease process and therefore efficient syndromic surveillance systems can detect disease events in a timely manner. There are many hurdles to the successful deployment of a syndromic surveillance system and most relate to data. An effective system will ideally obtain data from multiple sources, all data will conform to a standard (therefore each data source can be validly combined), data coverage will be extensive (across the population) and data capture will be in real time (allowing early detection). This picture is one of a functional electronic data world and unfortunately this is not the norm for either human or animal heath. Less than optimal data, lack of data standards, incomplete coverage of the population and delayed data transmission result in a loss of sensitivity, specificity and timeliness of detection. In human syndromic surveillance, most focus has been placed on earlier detection of mass bioterrorism events and this has concentrated research on the problems of electronic data. Given the current state of animal health data, the development of efficient detection algorithms represents the least of the hurdles. However, the world is moving towards increased automation and therefore the problems with current data can be expected to be resolved in the next decade. Despite the lack of large scale deployment of these systems, the question is becoming when, not whether these system will contribute. The observations of a stock worker are always the start of the surveillance pathway in animal health. Traditionally this required the worker to contact a veterinarian who would investigate unusual cases with the pathway ending in laboratory samples and specific diagnostic tests. The process is inefficient as only a fraction of cases observed by stock workers end in diagnostic samples. These observations themselves are most likely to be amenable to capture and monitoring using syndromic surveillance techniques. A pilot study of stock workers in the extensive cattle producing Lower Gulf region of Queensland demonstrated that experienced non-veterinary observers of cattle can describe the signs that they see in sick cattle in an effective manner. Lay observers do not posses a veterinary vocabulary, but the provision of a system to facilitate effective description of signs resulted in effective and standardised description of disease. However, most producers did not see personal benefit from providing this information and worried that they might be exposing themselves to regulatory impost if they described suspicious signs. Therefore the pilot study encouraged the development of a syndromic surveillance system that provides a vocabulary (a template) for lay observers to describe disease and a reason for them to contribute their data. The most important disease related drivers for producers relate to what impact the disease may have in their herd. For this reason, the Bovine Syndromic Surveillance System (BOSSS) was developed incorporating the Bayesian cattle disease diagnostic program BOVID. This allowed the observer to receive immediate information from interpretation of their observation providing a differential list of diseases, a list of questions that may help further differentiate cause, access to information and other expertise, and opportunity to benchmark disease performance. BOSSS was developed as a web-based reporting system and used a novel graphical user interface that interlinked with an interrogation module to enable lay observers to accurately and fully describe disease. BOSSS used a hierarchical reporting system that linked individual users with other users along natural reporting pathways and this encouraged the seamless and rapid transmission of information between users while respecting confidentiality. The system was made available for testing at the state level in early 2006, and recruitment of producers is proceeding. There is a dearth of performance data from operational syndromic surveillance systems. This is due, in part, to the short period that these systems have been operational and the lack of major human health outbreaks in areas with operational systems. The likely performance of a syndromic surveillance system is difficult to theorise. Outbreaks vary in size and distribution, and quality of outbreak data capture is not constant. The combined effect of a lack of track record and the many permutations of outbreak and data characteristics make computer simulation the most suitable method to evaluate likely performance. A stochastic simulation model of disease spread and disease reporting by lay observers throughout a grid of farms was modelled. The reporting characteristics of lay observers were extrapolated from the pilot study and theoretical disease was modelled (as a representation of newly emergent disease). All diseases were described by their baseline prevalence and by conditional sign probabilities (obtained from BOVID and from a survey of veterinarians in Queensland). The theoretical disease conditional sign probabilities were defined by the user. Their spread through the grid of farms followed Susceptible-Infected-Removed (SIR) principles (in herd) and by mass action between herds. Reporting of disease events and signs in events was modelled as a probabilistic event using sampling from distributions. A non-descript disease characterised by gastrointestinal signs and a visually spectacular disease characterised by neurological signs were modelled, each over three outbreak scenarios (least, moderately and most contagious). Reports were examined using two algorithms. These were the cumulative sum (CuSum) technique of adding excess of cases (above a maximum limit) for individual signs and the generic detector What’s Strange About Recent Events (WSARE) that identifies change to variable counts or variable combination counts between time periods. Both algorithms detected disease for all disease and outbreak characteristics combinations. WSARE was the most efficient algorithm, detecting disease on average earlier than CuSum. Both algorithms had high sensitivity and excellent specificity. The timeliness of detection was satisfactory for the insidious gastrointestinal disease (approximately 24 months after introduction), but not sufficient for the visually spectacular neurological disease (approximately 20 months) as the traditional surveillance system can be expected to detect visually spectacular diseases in reasonable time. Detection efficiency was not influenced greatly by the proportion of producers that report or by the proportion of cases or the number of signs per case that are reported. The modelling process demonstrated that a syndromic surveillance system in this remote region is likely to be a useful addition to the existing system. Improvements that are planned include development of a hand-held computer version and enhanced disease and syndrome mapping capability. The increased use of electronic recording systems, including livestock identification, will facilitate the deployment of BOSSS. Long term sustainability will require that producers receive sufficient reward from BOSSS to continue to provide reports over time. This question can only be answered by field deployment and this work is currently proceeding.

This thesis examined the role of supranational organisations (SOs) in the governance of tourism in a North-South context. Focusing on the issue area of development cooperation, this thesis investigated the question of how and why SOs got involved in tourism in developing countries, and more specifically, in small island developing states. Such involvement may occur either directly through aid funded projects or indirectly through international trade regimes that impact on tourism in the aid recipient countries. The thesis adopted a case study approach focussing on the European Union�s (EU�s) involvement in the governance of tourism in South Pacific island states. Grounded in a history of colonialism, the EU has been involved in the �development� of the South Pacific for more than three decades, which allowed to track changes in development philosophy over time. Focusing on the concept of power, the case was assessed in a multi-scalar manner, analysing the EU�s involvement from the global down to the local level. Never before has an entire multilevel polity been assessed in one coherent case study, incorporating actors situated at all levels and ranging from supranational organisations to national governments, businesses, communities, and individuals. The methods employed in this thesis included interviews, participant observation, document analysis (policy documents and newspapers), and subsequently critical discourse analysis. The latter served to highlight the so-called �third face of power� (Lukes 1974), which is closely related to the concept of ideological hegemony. Interviews were conducted in Fiji and Samoa with officials of the South Pacific Delegations of the EU, officials of tourism authorities, NGOs, tourism operators and community members. Elite interviews in Brussels were conducted with officials of the European Commission and the European Parliament. Under all scales and �faces� of power the EU was found to be the dominant actor, while the issue of self-interest appeared to play a key role. At a macro-level, the EU clearly dominated in most overt decision-making situations during negotiations on aid and trade agreements. As concerned the inclusion of tourism in the agreements, the relative importance of the sector was clearly dependent on the European Commission�s prevailing attitude on �tourism and development� at any point in time. At a meso- and micro-level, the EU�s influence was less obvious yet nonetheless existent, for example through funding rules and the use of European consultants. Indirect influence also occurred at the national level. In particular the substitution of a preferential trade regime with a free trade agreement (the Economic Partnership Agreements), which is currently being negotiated between the EU and the Pacific Islands, is likely to have a significant impact on the economic importance of tourism, as well as public policy in the South Pacific. In a mini case study of Samoa, it was found that the resulting changes in tourism policy would have a significant impact �on the ground�, in particular with regard to rates of local ownership and control. Overall, power relations were found to be highly unequal and self-determination and empowerment have largely not been achieved. However, more research is needed to examine the ability to generalise the findings to other geographic regions or other types of SOs. The key contribution of this thesis in the theoretical realm constitutes its bridging of agency and structure within multi-level governance, which may be conceived as a �third way� to either dependency theory-influenced studies (global/structure) or community approaches (local/agency).

Bibliography: leaves 192-207 / 207 leaves : / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (M. D.)--University of Adelaide, 1984