On April 23, 2010, Arizona Governor Jan Brewer signed Senate Bill 1070 ("Support Our Law Enforcement and Safe Neighborhoods Act") into law. This legislative effort raised questions about how political and legal thought are immersed in talk of citizenship in our present time. While the Supreme Court rejected the majority of this law two years after it was signed, concerns over issues of legality, law enforcement, and citizenship still remain. The main questions posed in this dissertation are the following: How are Latinos portrayed as citizens by media? What types and tones of citizenship are advanced in SB 1070 news coverage? To learn more about citizenship constructions, I analyzed newspaper coverage of SB 1070 by using a critical approach that combines quantitative and rhetorical analyses. I examined the following six newspapers were examined: Los Angeles Times and La Opinión (Los Angeles); Miami Herald and Diario Las Américas (Miami); Arizona Republic and Prensa Hispana (Phoenix). They were reviewed over a six month period, specifically from December 1, 2009, to May 31, 2010. I searched each edition by using physical copies, microfilm, and internet databases, for stories on immigration, Latinos, and citizenship as it related to SB 1070. After these newspapers were collected, a content analysis was conducted followed by a close textual analysis. The data reveals three major findings. The first finding is that both English and Spanish newspapers tend to frame citizenship as legal status. The second finding is that Spanish newspapers require their news consumers to translate between languages (specifically English and Spanish), as well as consider different cultures (American and Latino customs) and diverse politicians (international political figures). The third finding is that Spanish newspapers provide many more photos, especially of protests against this legislative effort. The two main conclusions of this dissertation are (1) that Spanish newspapers require their readers to have a double-consciousness, and (2) that there is value in using more than one kind of methodology. / text

Large-scale blockages like buildings affect the performance of urban cellular networks, especially in the millimeter-wave frequency band. Unfortunately, such blockage effects are either neglected or characterized by oversimplified models in the analysis of cellular networks. Leveraging concepts from random shape theory, this paper proposes a mathematical framework to model random blockages, and quantifies their effects on the performance of cellular networks. Specifically, random buildings are modeled as a process of rectangles with random sizes and orientations whose centers form a Poisson point process on the plane, which is called a Boolean scheme. The distribution of the number of blockages in a link is proven to be Poisson with parameter dependent on the length of the link, which leads to the distribution of penetration losses of a single link. A path loss model that incorporates the blockage effects is proposed, which matches experimental trends observed in prior work. The blockage model is applied to analyze blockage effects on cellular networks assuming blockages are impenetrable, in terms of connectivity, coverage probability, and average rate. Analytic results show while buildings may block the desired signal, they may still have a positive impact on network performance since they also block more interference. / text

Traditional solutions for test and reliability do not scale well for modern designs with their size and complexity increasing with every technology generation. Therefore, in order to meet time-to-market requirements as well as acceptable product quality, it is imperative that new methodologies be developed for quickly evaluating a system in the presence of faults. In this research, statistical methods have been employed and implemented to 1) estimate the stuck-at fault coverage of a test sequence and evaluate the given test vector set without the need for complete fault simulation, and 2) analyze design vulnerabilities in the presence of radiation-based (soft) errors. Experimental results show that these statistical techniques can evaluate a system under test orders of magnitude faster than state-of-the-art methods with a small margin of error. In this dissertation, I have introduced novel methodologies that utilize the information from fault-free simulation and partial fault simulation to predict the fault coverage of a long sequence of test vectors for a design under test. These methodologies are practical for functional testing of complex designs under a long sequence of test vectors. Industry is currently seeking efficient solutions for this challenging problem. The last part of this dissertation discusses a statistical methodology for a detailed vulnerability analysis of systems under soft errors. This methodology works orders of magnitude faster than traditional fault injection. In addition, it is shown that the vulnerability factors calculated by this method are closer to complete fault injection (which is the ideal way of soft error vulnerability analysis), compared to statistical fault injection. Performing such a fast soft error vulnerability analysis is very cruicial for companies that design and build safety-critical systems. / text

This thesis studies women politicians’ journey along the path from candidates to elected representatives in party list proportional representation (PR list) systems. While past literature provides sufficient evidence that more women are elected in proportional electoral systems than in majority / plurality systems, there is limited research explaining the differences in women’s representation across varying types of PR list systems. This thesis aims to fill that gap, by focusing primarily on the election of women across preferential (open and ordered list systems) and non-preferential (closed list systems) PR list voting systems. Moreover, unlike the vast majority of previous research, which has relied on aggregate level data only, this research investigates the election of women at the individual candidate level. Such an approach allows the present thesis to consider, next to traditional aggregate level predictors, how party gatekeepers and the news media may either support or hinder women in progressing from candidates to elected representatives. Since the focus is set on the 2009 European Parliament elections, this thesis investigates the process of electing women cross-nationally. The results show that female candidates have a higher likelihood of being elected in non-preferential closed list voting systems than in preferential ordered list voting systems. The results suggest that this is the case because, first, party gatekeepers in ordered list systems place women in less viable electoral list positions than party gatekeepers in closed list systems; second, media cover female candidates less in ordered list systems compared to closed list systems; and finally, female candidates in ordered list systems fail to make up their less competitive starting position with preference votes because preference votes in ordered list systems do not significantly alter the initial party list rankings.

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We are very thirsty in terms of everything to fulfil our needs in a sophisticated way, and this leads me choose the so called master thesis titled “Multihop Concept in Cellular Systems”. This thesis introduces an approach towards the integration of relaying or multihop scheme in the next generation of cellular networks. In a multihop cellular architecture, the users send their data to the base station via relay station or with direct communication to the base station. These relay stations can either be the nomadic, fixed at specific location or users’ mobile station (i.e. mobile relay station). The main objective of this paper is to compare the difference between the relaying network architecture with different channel bandwidth as well as their performance gain. For this we integrate the relay station into conventional cellular networks using IEEE 802.16j (One of the standard introduced relay station concept in WiMAX) OFDMA (Orthogonal Frequency Division Multiple Access is a transmission technique that is based on many orthogonal subchannels (set of carriers) that transmits simultaneously). The results show that under certain conditions the throughput and coverage of the system has been increased with the introduction of the relay station in to cellular base station zone.

Peptide mass fingerprinting (PMF) of protein digests is a widely-accepted method for protein identification in MS-based proteomic studies. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI) is the technique of choice in PMF experiments. The success of protein identification in a PMF experiment is directly related to the amount of amino acid sequence coverage. In an effort to increase the amount of sequence information obtained in a MALDI PMF experiment, performic acid oxidation is performed on tryptic digests of known proteins. Performic acid was chosen as the chemical oxidant due to the ease of use and to the selective oxidation of cysteine, methionine, and tryptophan residues. In experiments performed in our laboratory, performic acid oxidation either increased or did not affect protein sequence coverage in PMF experiments when oxidized tryptic digests were analyzed by MALDI. Negative mode MALDI data were acquired, as well as positive mode MALDI data, due to the enhanced ionization of cysteic acid-containing peptides in negative mode. Furthermore, the confidence in a protein match is increased by observation of mass shifts indicative of cysteine, methionine, and/or tryptophan in oxidized peptide ion signals when comparing MALDI spectra prior to performic acid oxidation and after oxidation due to the low abundance of these residues in the majority of all known and hypothetical proteins.

The estimation of low income proportions plays an important role in comparisons of poverty in different countries. In most countries, the stability of the society and the development of economics depend on the estimation of low income proportions. An accurate estimation of a low income proportion has a crucial role for the development of the natural economy and the improvement of people's living standards. In this thesis, the Jackknife empirical likelihood method is employed to construct confidence intervals for a low income proportion when the observed data had missing values. Comprehensive simulation studies are conducted to compare the relative performances of two Jackknife empirical likelihood based confidence intervals for low income proportions in terms of coverage probability. A real data example is used to illustrate the application of the proposed methods.

In this thesis, we study two methods for inference of parameters in the accelerated failure time model with right censoring data. One is the Wald-type method, which involves parameter estimation. The other one is empirical likelihood method, which is based on the asymptotic distribution of likelihood ratio. We employ a monotone censored data version of Kendall estimating equation, and construct confidence intervals from both methods. In the simulation studies, we compare the empirical likelihood (EL) and the Wald-type procedure in terms of coverage accuracy and average length of confidence intervals. It is concluded that the empirical likelihood method has a better performance. We also compare the EL for Kendall’s rank regression estimator with the EL for other well known estimators and find advantages of the EL for Kendall estimator for small size sample. Finally, a real clinical trial data is used for the purpose of illustration.

Cox Proportional Hazard Model is one of the most popular tools used in the study of Survival Analysis. Empirical Likelihood (EL) method has been used to study the Cox Proportional Hazard Model. In recent work by Qin and Jing (2001), empirical likelihood based confidence region is constructed with the assumption that the baseline hazard function is known. However, in Cox’s regression model the baseline hazard function is unspecified. In this thesis, we re-formulate empirical likelihood for the vector of regression parameters by estimating the baseline hazard function. The EL confidence regions are obtained accordingly. In addition, Adjusted Empirical Likelihood (AEL) method is proposed. Furthermore, we conduct extensive simulation studies to evaluate the performance of the proposed empirical likelihood methods in terms of coverage probabilities by comparing with the Normal Approximation based method. The simulation studies show that all the three methods produce similar coverage probabilities.