In this paper we discuss the problems associated with the description and manipulation of large systems when their sources are not maintained as single fields. We show why and how tools that address these issues, such as Unix MAKE and Lisp Machine DEFSYSTEM, have evolved. Existing formalisms suffer from the problem that their syntax is not easily separable from their functionality. In programming languages, standard "calling conventions" exist to insulate the caller of a function from the syntactic details of how that function was defined, but until now no such conventions have existed to hide consumers of program systems from the details of how those systems were specified. We propose a low-level data abstraction which can support notations such as those used by MAKE and DEFSYSTEM without requiring that the introduction of a new notation be accompanied by a completely different set of tools for instantiating or otherwise manipulating the resulting system. Lisp is used for presentation, bit the issues are not idiosyncratic to LISP.

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

This thesis deals with the study of baryon spectra in the context of the $1/N_c$ expansion. The standard tool to study baryon properties is the constituent quark model. The results are naturally model dependent. The $1/N_c$ expansion generates a new perturbative approach to QCD, convenient for low momentum transfer. It provides a new theoretical method that is quantitative, systematic and predictive. In the first part of the thesis, the $1/N_c$ expansion is introduced as well as the baryon structure at large $N_c$. A summary of important results for ground-state baryons is provided. The second part of the thesis is devoted to excited baryon states. The symmetric orbital states are treated by analogy to the ground state. For mixed symmetric states, two approaches are presented. The traditional one starts from the decoupling of the wave function into an excited quark and a symmetric core. To make the problem tractable the wave function is treated approximately, justified by a Hartree scheme. This approach is applied to the study of the $[{f 70},ell^+] (ell=0,2)$ multiplets (nonstrange and strange cases) and of the $[{f 56},4^+]$ multiplet. An important physical result is the dependence of the spin dependent terms of the mass operator on the excitation energy. Recently we suggested a new approach based on a rigorous group theoretical treatment of the matrix elements of SU(4). No decoupling and no approximations are necessary. When applied to the $[{f 70},1^-]$ nonstrange multiplet, it is found that the leading corrections to the mass operator are of order $1/N_c$ instead of $N_c^0$, as predicted by the decoupling procedure.

With the ever increasing amount of digital information, information workers desire more screen real estate to process their daily desktop work. Thanks to the quick advance in display technology, big screens are increasingly affordable and have been gradually adopted in desktop computing environments. A large wall-size high resolution display, a recent emerging class of display which possesses a huge visualization surface, could potentially benefit information processing work. In this dissertation we investigate such a large display as the primary working space for information processing work. We firstly conducted a longitudinal diary study and three control experiments investigating effects of a large display on information processing work. The longitudinal diary study investigates large display use in a personal desktop computing context by comparing it with single- and dual-monitor. The three controlled experiments further investigate the effects of two factors determining resolution of a display—physical size and pixel-density on users’ performance and behaviors. The diary study reveals the distinct behavior patterns of large display users in partitioning screen space and managing windows, while the control experiments deeply reveal the effects of the physical size and pixel density of a display on different information processing tasks. Aside from studying a continuous large display, we also articulate how interior bezels within a tiled-monitor large display affect users’ performance and behaviors in basic visual search and action tasks via a series of controlled experiments. Based on the understanding of large display effects and users’ behavior patterns, we then design new interaction techniques to address a big challenge of working on a large display: managing overflowing windows. We design and implement a large display oriented window management system prototype: WallTop. It includes a set of interaction techniques that provide greater flexibility for managing windows. Usability tests show that users can quickly and easily learn the new techniques and apply them to realistic window management tasks with increased efficiency on a large display.

With the ever increasing amount of digital information, information workers desire more screen real estate to process their daily desktop work. Thanks to the quick advance in display technology, big screens are increasingly affordable and have been gradually adopted in desktop computing environments. A large wall-size high resolution display, a recent emerging class of display which possesses a huge visualization surface, could potentially benefit information processing work. In this dissertation we investigate such a large display as the primary working space for information processing work. We firstly conducted a longitudinal diary study and three control experiments investigating effects of a large display on information processing work. The longitudinal diary study investigates large display use in a personal desktop computing context by comparing it with single- and dual-monitor. The three controlled experiments further investigate the effects of two factors determining resolution of a display—physical size and pixel-density on users’ performance and behaviors. The diary study reveals the distinct behavior patterns of large display users in partitioning screen space and managing windows, while the control experiments deeply reveal the effects of the physical size and pixel density of a display on different information processing tasks. Aside from studying a continuous large display, we also articulate how interior bezels within a tiled-monitor large display affect users’ performance and behaviors in basic visual search and action tasks via a series of controlled experiments. Based on the understanding of large display effects and users’ behavior patterns, we then design new interaction techniques to address a big challenge of working on a large display: managing overflowing windows. We design and implement a large display oriented window management system prototype: WallTop. It includes a set of interaction techniques that provide greater flexibility for managing windows. Usability tests show that users can quickly and easily learn the new techniques and apply them to realistic window management tasks with increased efficiency on a large display.

In this thesis, we consider computational methods of finding exit probabilities for a class of multivariate stochastic processes. While there is an abundance of results for one-dimensional processes, for multivariate processes one has to rely on approximations or simulation methods. We adopt a Large Deviations approach in order to estimate barrier crossing probabilities of a multivariate Brownian Bridge. We use this approach in conjunction with numerical techniques to propose an efficient method of obtaining barrier crossing probabilities of a multivariate Brownian motion. Using numerical examples, we demonstrate that our method works better than other existing methods. We present applications of the proposed method in addressing problems in finance such as estimating default probabilities of several credit risky entities and pricing credit default swaps. We also extend our computational method to efficiently estimate a barrier crossing probability of a sum of Geometric Brownian motions. This allows us to perform a portfolio selection by maximizing a path-dependent utility function.

In this thesis, we consider computational methods of finding exit probabilities for a class of multivariate stochastic processes. While there is an abundance of results for one-dimensional processes, for multivariate processes one has to rely on approximations or simulation methods. We adopt a Large Deviations approach in order to estimate barrier crossing probabilities of a multivariate Brownian Bridge. We use this approach in conjunction with numerical techniques to propose an efficient method of obtaining barrier crossing probabilities of a multivariate Brownian motion. Using numerical examples, we demonstrate that our method works better than other existing methods. We present applications of the proposed method in addressing problems in finance such as estimating default probabilities of several credit risky entities and pricing credit default swaps. We also extend our computational method to efficiently estimate a barrier crossing probability of a sum of Geometric Brownian motions. This allows us to perform a portfolio selection by maximizing a path-dependent utility function.

Background and purpose: Large and micro companies in the clothing industry are working with CSR in different ways and to different extent. There are clear differences between large and micro clothing companies in regard to how their CSR work looks like. This study is about to find out what the differences are between the large and micro companies and what underlying motives they have for working with CSR.Method: The method that is used during this study is a qualitative method. The qualita-tive method involves making a thorough investigation, which also results in in-depth answers and not just answers like yes or no. Results of a qualitative research are often presented as quotations or as a narrative text.In this study interviews are used in order to fulfill the purpose. Answers of how compa-nies work with CSR cannot be gathered just by asking a few standardized questions. In-stead an interview will allow us to come close to the company and understand the whole concept of their CSR work. The companies that have been interviewed are KappAhl, Intersport, Crazy Horse and Alinas.Conclusion: There is a lack of knowledge in the CSR field between large and micro companies. Micro companies do not have the same knowledge, resources or time as large companies have. A difference that has been shown is that the micro companies do engage in CSR activities, although in a small scale compared to the large companies, even if they do not know it themselves. Large companies engage far more in CSR activ-ities and spend a lot of resources on these kinds of activities.The large and the micro companies also have different motives for working with CSR questions. There is a difference between newly established micro companies and micro companies that have been around for a while. The new companies do actually thinkabout CSR and believe that it is important that they are socially responsible, even if they do not have the resources to actually engage in different activities in order to do so. The well established micro company on the other hand does not think that much about CSR and use the same suppliers as they have always done.A clear motive why large companies as KappAhl and Intersport work with CSR is that they want to give something back to the world. Therefore they engage in activities where they have their operations in order to create a better environment. They take their responsibility even externally and not just internally, as the micro companies do.

We examine the financing choices of undiversified large shareholders or owner-managers in a continuous time structural model with rational expectations. The interplay between the objective of the undiversified, self-interested owner-manager who controls the firm and the valuation of the firms marketed claims by well-diversified outside investors, has a major impact on leverage and debt maturity choices as well as credit spreads. The effect of this interplay is particularly significant in a world where the representative investor (who determines asset prices in the economy) is risk-averse leading to nonzero market prices of systematic risk and risk premia of the firms investment opportunities. In a perfect information framework with no taxes or bankruptcy costs, we show that, the owner-manager could, depending on the projects characteristics, finance them exclusively with debt, exclusively with equity, or with a combination of equity and debt. Ceteris paribus, leverage increases with the expected growth rate of firm value under its investment opportunities, and decreases with its volatility. Debt maturity varies non-monotonically in a U-shaped manner with the expected growth rate, and decreases with the volatility. Our results reconcile empirical evidence on the variation of financing choices with firm characteristics that is not completely consistent with previous theories. The significant impact of the expected returns (therefore, risk premia) of firms investment opportunities on their leverage ratios, debt maturities, and credit spreads are important implications of our theory that cannot be obtained in these models or in models in which all agents are risk-neutral so that risk premia are zero. We empirically test the implications of our theory for the relationships among firms financing and debt maturity choices and the expected growth rate and volatility of their asset values. Controlling for all the significant determinants of firms financing and debt maturity choices identified by earlier studies, we show significant empirical support for our predictions.

With the changing economic structure, from the textile, food, petrochemicals, steel,to high-tech industry, capital and technical requirements are gradually increasing. With the liberalization and internationalization, market competition was intensified. The large conglomerates have strong financial, human, technical resources and capabilities, who are more competitive to face the intense environmental change. Taiwan 100 Group's asset size is 600 times than 40 years ago. As a result, large conglomerates grasp Taiwan's economic lifeline. The majority of conglomerates engaged in diversification, but which resources and capabilities can engage in what kind of diversification to deliver competitive advantage for conglomerates is an important subject. Therefore, this study chooses two long history and successful business group in Taiwan, which are Far Eastern Group and Yuen Foong Yu Group. To investigate that what kind of resources and capabilities they use to implement diversification strategies. Then escalating group¡¦s resources and further expand the scale of the groups. According to this study, the analysis showed that the Far Eastern Group and Yuen Foong Yu Group, technology, human resources, assets, industry position, industry business experience, management ability, organizational ability, are the key resources and capabilities to perform any kind of diversification strategies.