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Stereographic virtual environments display data in such a way that a user perceives objects within the displayed environment to be separated in depth from the display itself. The effectiveness of stereographic virtual environments as learning tools has been evaluated relative to factors such as multidimensional cues, user interaction, and learner characteristics. This study has examined the relationship between two evaluative factors: the presence of stereographic depth cues and field dependence, a learner characteristic associated with performance on visual tasks. Adult learners were identified on a field dependence continuum based on scores on the Group Embedded Figures Test. Each student received instruction related to the heart using stereographic materials or nonstereographic materials, depending on assignment to treatment group. All participants were given two tests, identification and terminology, following this instruction. The scores on the combination of these tests, denoted as the Modified Total Criterion Test (MTCT), represented the level of visual recall relative to the instructional materials reviewed. Analyses of variance revealed an interaction effect between the level of field dependence and the presence of stereographic depth cues within a virtual environment such that field independent participants scored higher on tests of visual recall within stereographic conditions versus nonstereographic conditions and field dependent participants scored lower within stereographic conditions versus nonstereographic conditions. / Ph. D.

In this thesis, an activity classification algorithm is developed to support a human ambulatory monitoring system. This algorithm, to be deployed on an e-textile garment, represents the enabling step in creating a wide range of garments that can use the same classifier without having to re-train for different sensor types. This flexible operation is made possible by basing the classifier on an abstract model of the human body that is the same across all sensor types and subject bodies. In order to support low power devices inherent for wearable systems, the algorithm utilizes regular expressions along with a tree search during classification. To validate the approach, a user study was conducted using video motion capture to record subjects performing a variety of activities. The subjects were randomly placed into two groups, one used to generate the activities known by the classifier and another to be used as observation to the classifier. These two sets were used to gain insight on the performance of the algorithm. The results of the study demonstrate that the algorithm can successfully classify observations, so as long as precautions are taken to prevent the activities known by the classifier to become too large. It is also shown that the tree search performed by the classification can be utilized to partially classify observations that would otherwise be rejected by the classifier. The user study additionally included subjects that performed activities purely used for observations to the classifier. With this set of recordings, it was demonstrated that the classifier does not over-fit and is capable of halting the classification of an observation. / Master of Science

Inflation targeting is a monetary policy regime, characterized by public announcement of official target ranges or quantitative targets for price level increases and by explicit acknowledgement that low inflation is the most crucial long-run objective of the monetary authorities. There are three prerequisites for inflation targeting: 1)central bank independence,2)having a sole target,3)existence of stable and predictable relationship between monetary policy instruments and inflation.In many developing countries, the use of seigniorage revenues as an important source of financing public debts, the lack of commitment to low inflation as a primary goal by monetary authorities, considerable exchange rate flexibility, lack of substantial operational independence of the central bank or of powerful models to make domestic inflation forecasts hinder the satisfaction of these requirements. This study investigates the applicability of inflation targeting to the Turkish economy. Central bank independence in Turkey has been mainly hindered by "fiscal dominance" through monetization of high budget deficits. In addition, although serious steps have been taken recently under a new law to have an independent central bank, such as formal commitment to the achievement of price stability as the primary objective and the prohibition of credit extension to the government, the central bank does not satisfy independence criteria due to the problems associated with the appointment of the government and the share of the Treasury within the bank. Having a sole inflation target was hindered by the existence of fixed exchange rate system throughout the years. However, in February 2001, Turkey switched to a floating exchange rate regime, which is important for a successful inflation-targeting regime. Having a sole target within the system has also been supported by the new central bank law, which gives priority to price stability and supports any other objective as long as it is consistent with price stability. In this thesis, an empirical investigation has been made in order to assess the statistical readiness of Turkey to satisfy the requirements of inflation-targeting by making use of vector autoregressive (VAR) models. The results suggest that inflation is an inertial phenomenon in Turkey and money, interest rates and nominal exchange rates innovations are not economically and statistically important determinants of prices. Most of the variances in prices are explained by prices themselves. According to the VAR evidence, the direct linkages between monetary policy instruments and inflation do not seem to be strong, stable, and predictable. As a result, while the second requirement of the inflation-targeting regime seems to have been satisfied, there are still problems associated with the central bank independence and the existence of stable and predictable relationship between monetary policy instruments and inflation in Turkey. / Master of Arts

No / The extensive literature on participative budgeting has paid little attention to the interaction among managers as they discuss and resolve budget-related issues. This study employs goal interdependence theory to explore the impact of team dynamics on budgeting. How managers believe their goals are related affects the dynamics and outcomes of participation. In a large utility in Hong Kong, 64 managers were interviewed on specific budget participation incidents. Results of structural equation analyses found support for the study¿s three main hypotheses. Budget team members who had cooperative goals were found to engage in more open-minded discussion in conflict situations. This resulted in improved group productivity and strengthened relationships which, in turn, led to higher-quality budgets. Results were interpreted as suggesting that the benefits of budget participation depends upon establishing strongly cooperative goals among team members and developing the skills to discuss opposing views open-mindedly. The antecedents of goal interdependence are also explored.

One of the oldest and most fundamental problems in statistics is the analysis of cross-classified data called contingency tables. Analyzing contingency tables is typically a question of association - do the variables represented in the table exhibit special dependencies or lack thereof? The statistical models which best capture these experimental notions of dependence are the categorical conditional independence models; however, until recent discoveries concerning the strongly algebraic nature of the conditional independence models surfaced, the models were widely overlooked due to their unwieldy implicit description. Apart from the inferential question above, this thesis asks the more basic question - suppose such an experimental model of association is known, how can one incorporate this information into the estimation of the joint distribution of the table? In the traditional parametric setting several estimation paradigms have been developed over the past century; however, traditional results are not applicable to arbitrary categorical conditional independence models due to their implicit nature. After laying out the framework for conditional independence and algebraic statistical models, we consider three aspects of estimation in the models using the minimum Euclidean (L2E), minimum Pearson chi-squared, and minimum Neyman modified chi-squared distance paradigms as well as the more ubiquitous maximum likelihood approach (MLE). First, we consider the theoretical properties of the estimators and demonstrate that under general conditions the estimators exist and are asymptotically normal. For small samples, we present the results of large scale simulations to address the estimators' bias and mean squared error (in the Euclidean and Frobenius norms, respectively). Second, we identify the computation of such estimators as an optimization problem and, for the case of the L2E, propose two different methods by which the problem can be solved, one algebraic and one numerical. Finally, we present an R implementation via two novel packages, mpoly for symbolic computing with multivariate polynomials and catcim for fitting categorical conditional independence models. It is found that in general minimum distance estimators in categorical conditional independence models behave as they do in the more traditional parametric setting and can be computed in many practical situations with the implementation provided.

Genetic factors have been shown to be involved in etiology of a poor response to the antidepressant treatment with sufficient dosage and duration. Our goal was to identify the role of polymorphisms in the poor response to the treatment. To this end, 5 functional polymorphisms in 109 patients diagnosed with unipolar, major depressive disorder are analyzed. Due to the small sample size, exact conditional tests are utilized to analyze the contingency table. The data analysis involves: (1) Exact test for conditional independence in a high dimensional contingency table; (2) Marginal independence test; (3) Exact test for three-way interactions. The efficiency of program always limits the application of exact test. The appropriate methods for enumerating exact tables are the key to improve the efficiency of programs. The algorithm of enumerating the exact tables is also introduced.

Thesis (doctoral)--Universität, Hamburg, 2005/2006. / Includes bibliographical references (p. 447-469).

This thesis covers the first Philippine Independence Mission made to the United States in the early 20th century. Shortly following the conclusion of World War I, representatives from the Philippines sought to gain fulfillment of its independence. The origins and history of the Philippine independence movement are traced from its push against Spanish rule to the efforts to gain sovereignty from American governorship through major political figures, such as the highly influential Manuel L. Quezon, as well as the American arguments for and against withdrawing from the Philippines through the platforms of political parties and individual politicians. Despite American support for the movement, the Philippine delegates faced complicated political motivations, doubts about the stability of the Philippine government, and concerns about the potential consequences of leaving the Philippines without an American presence. This thesis was completed before the Philippines were granted full independence from the United States in 1946.

This research proposes a language independent intra-process framework for object based composition of unmodified code modules. Intuitively, the two major programming models - threads and processes - can be considered as extremes along a sharing axis. Multiple threads through a process share all global state, whereas instances of a process (or independent processes) share no global state. Weaves provide the generalized framework that allows arbitrary (selective) sharing of state between multiple control flows through a process. In the Weaves framework a single process has the same level of complexity as a workstation, with independent "sub-processes", state sharing and scheduling, all of which is achieved without requiring any modification to existing code bases. Furthermore, the framework allows dynamic instantiation of code modules and control flows through them. In effect, weaves create intra-process modules (similar to objects in OOP) from code written in any language. Applications can be built by instantiating Weaves to form Tapestries of dynamically interacting code. The Weaves paradigm allows objects to be arbitrarily shared - it is a true superset of both processes as well as threads, with code sharing and fast context switching time similar to threads. Weaves do not require any special support from either the language or application code - practically any code can be weaved. Weaves also include support for fast automatic checkpointing and recovery with no application support. This paper presents the elements of the Weaves framework and results from our implementation that works by reverse-analyzing source-code independent ELF object files. The current implementation has been validated over Sweep3D, a benchmark for 3D discrete ordinates neutron transport [Koch et al., 1992], and our Open Network Emulator project. Performance results show that the context switch overhead in the Weaves framework is almost identical to threads. / Master of Science