TESTING THE JOINT ROLES OF CAREER DECISION SELF-EFFICACY AND PERSONALITY TRAITS IN THE PREDICTION OF CAREER INDECISION

Career decision-making self-efficacy and the Big Five traits of neuroticism, extraversion, and conscientiousness were examined as predictors of career indecision in a sample of 181 undergraduates. Participants completed an online survey. I predicted that the Big Five traits and career decision-making self-efficacy would (a) interrelate moderately and (b) each relate significantly and moderately to career indecision. In addition, I predicted that career decision-making self-efficacy would partially mediate the relationships between the Big Five traits and career indecision, while the Big Five traits were predicted to moderate the relationship between career decision-making self-efficacy and career indecision. Finally, I predicted that career decision-making self-efficacy would account for a greater amount of unique variance in career indecision than the Big Five traits. All predicted correlations were significant. Career decision-making self-efficacy fully mediated the relationship of Extraversion to career indecision and partially mediated the relationships of Neuroticism and Conscientiousness to career indecision. Conscientiousness was found to moderate the relationship of career decision-making self-efficacy to career indecision such that the negative relation between self-efficacy and career indecision was stronger in the presence of high conscientiousness. This study builds upon existing research on the prediction of career indecision by examining potential mediating and moderating relationships.

The Drama of History: Representation and Revolutionaries in Haitian Theater, 1818-1907

Since the beginning of the Haitian theatrical tradition there has been an ineluctable dedication to the representation of Haitian history on stage. Given the rich theatrical archive about Haiti throughout the world, this study considers operas and plays written solely by Haitian playwrights. By delving into the works of Juste Chanlatte, Massillon Coicou, and Vendenesse Ducasse this study proposes a re-reading of Haitian theater that considers the stage as an innovative site for contesting negative and clichéd representations of the Haitian Revolution and its revolutionary leadership. A genre long mired in accusations of mimicking European literary forms, this study proposes a reevaluation of Haitian theater and its literary origins.

The Sugar Factory

Luke Banas is a young video artist who lives illegally in the disused Domino sugar refinery in Williamsburg, Brooklyn. While his art is an attempt to fully record and share his own life story, developers want to tear down the building where he works; a building that’s a monument to his hip neighborhood’s industrial past. The novel’s narrator, Lila Fairfax, is a journalist writing her first feature article about Luke and the fate of the factory. Observant and astute, she soon realizes that, despite his obsessive self-revelation, Luke is hiding a secret. Lila’s rational, detached approach to life is disrupted as, in the course of her reporting, she falls in love with Luke and as a result, learns far more than she anticipated. Though primarily a love story, The Sugar Factory is also an investigation of art, and art’s interaction with commerce, history, and new technology.

Sexism and Imperialism in Mozart's Don Giovanni, Puccini's Madama Butterfly, and Blitzstein's Regina: A Performance Study

This dissertation project comprises three major operatic performances and an accompanying document; a performance study which surveys aspects of sexism and imperialism as represented in three operas written over the last three centuries by examining the implications of prejudice through research as well as through performances of the major roles found in the operas. Mr. Eversole performed the role of Sharpless in the 2014 Castleton Festival production of Madama Butterfly (music by Giacomo Puccini, libretto by Luigi Illica and Giuseppe Giacosa), conducted by Bradley Moore. In 2015, Mr. Eversole sang the title role in four performances of Mozart and Da Ponte’s Don Giovanni with the Maryland Opera Studio at the Clarice Smith Performing Arts Center, conducted by Craig Kier. Also as part of the Maryland Opera Studio 2015-16 season, Mr. Eversole appeared as Oscar Hubbard in four performances of Marc Blitzstein’s Regina, an adaptation of Lillian Hellman’s 1939 play, The Little Foxes. These performances were also conducted by Craig Kier. The accompanying research document discusses significant issues of cultural, geographical, and sexual hegemony as they relate to each opera. It examines the plots and characters of the operas from a postcolonial and feminist perspective, and takes a moral stance against imperialism, sexism, domestic abuse, and in general, the exploitation of women and of the colonized by the socially privileged and powerful. Recordings of all three operas can be accessed at the University of Maryland Hornbake Library. They are: Giacomo Puccini’s Madama Butterfly (the role of Sharpless) July 20, 2014, Castleton Festival production, Bradley Moore, Conductor Castleton, Virginia Wolfgang Amadeus Mozart’s Don Giovanni (title role) November 22nd, 2015, Maryland Opera Studio, Craig Kier, Conductor Clarice Smith Performing Arts Center, UMD Marc Blitzstein’s Regina, (Oscar Hubbard) April 8th, 8016, Maryland Opera Studio, Craig Kier, Conductor Clarice Smith Performing Arts Center, UMD

Learning Binary Code Representations for Effective and Efficient Image Retrieval

The size of online image datasets is constantly increasing. Considering an image dataset with millions of images, image retrieval becomes a seemingly intractable problem for exhaustive similarity search algorithms. Hashing methods, which encodes high-dimensional descriptors into compact binary strings, have become very popular because of their high efficiency in search and storage capacity. In the first part, we propose a multimodal retrieval method based on latent feature models. The procedure consists of a nonparametric Bayesian framework for learning underlying semantically meaningful abstract features in a multimodal dataset, a probabilistic retrieval model that allows cross-modal queries and an extension model for relevance feedback. In the second part, we focus on supervised hashing with kernels. We describe a flexible hashing procedure that treats binary codes and pairwise semantic similarity as latent and observed variables, respectively, in a probabilistic model based on Gaussian processes for binary classification. We present a scalable inference algorithm with the sparse pseudo-input Gaussian process (SPGP) model and distributed computing. In the last part, we define an incremental hashing strategy for dynamic databases where new images are added to the databases frequently. The method is based on a two-stage classification framework using binary and multi-class SVMs. The proposed method also enforces balance in binary codes by an imbalance penalty to obtain higher quality binary codes. We learn hash functions by an efficient algorithm where the NP-hard problem of finding optimal binary codes is solved via cyclic coordinate descent and SVMs are trained in a parallelized incremental manner. For modifications like adding images from an unseen class, we propose an incremental procedure for effective and efficient updates to the previous hash functions. Experiments on three large-scale image datasets demonstrate that the incremental strategy is capable of efficiently updating hash functions to the same retrieval performance as hashing from scratch.

Contrasts: Quartets and Art Songs of the Nineteenth Century

The nineteenth-century Romantic era saw the development and expansion of many vocal and instrumental forms that had originated in the Classical era. In particular, the German lied and French mélodie matured as art forms, and they found a kind of equilibrium between piano and vocal lines. Similarly, the nineteenth-century piano quartet came into its own as a form of true chamber music in which all instruments participated equally in the texture. Composers such as Robert Schumann, Johannes Brahms, and Gabriel Fauré offer particularly successful examples of both art song and piano quartets that represent these genres at their highest level of artistic complexity. Their works have become the cornerstones of the modern collaborative pianist’s repertoire. My dissertation explored both the art songs and the piano quartets of these three composers and studied the different skills needed by a pianist performing both types of works. This project included the following art song cycles: Robert Schumann’s Dichterliebe, Gabriel Fauré’s Poème d’un Jour, and Johannes Brahms’ Zigeunerlieder. I also performed Schumann’s Piano Quartet in E-flat Major, Op. 47, Fauré’s Piano Quartet in C minor, Op. 15, and Brahms’ Piano Quartet in G minor, Op. 25. My collaborators included: Zachariah Matteson, violin and viola; Kristin Bakkegard, violin; Molly Jones, cello; Geoffrey Manyin, cello; Karl Mitze, viola; Emily Riggs, soprano, and Matthew Hill, tenor. This repertoire was presented over the course of three recitals on February 13, 2015, December 11, 2015, March 25, 2016 at the University of Maryland’s Gildenhorn Recital Hall. These recitals can be found in the Digital Repository at the University of Maryland (DRUM).

BLACK SURVIVAL POLITICS: ORGANIZED MOBILIZATION STRATEGIES IN AFRICAN AMERICAN COMMUNITIES TO END THE HIV/AIDS EPIDEMIC

The purpose of this study is to examine organizational patterns of African American activism in response the HIV/AIDS epidemic. Given their political, economic, and social disenfranchisement, African Americans have historically developed protest and survival strategies to respond to the devaluation of their lives, health, and well-being. While Black protest strategies are typically regarded as oppositional and transformative, Black survival strategies have generally been conceptualized as accepting inequality. In the case of HIV/AIDS, African American religious and non-religious organizations were less likely to deploy protest strategies to ensure the survival and well-being of groups most at risk for HIV/AIDS—such as African American gay men and substance abusers. This study employs a multiple qualitative case study analysis of four African American organizations that were among the early mobilizers to respond to HIV/AIDS in Washington D.C. These organizations include two secular or community-based organizations and two Black churches or faith-based organizations. Given the association of HIV/AIDS with sexual sin and social deviance, I postulated that Black community-based organizations would be more responsive to the HIV/AIDS-related needs and interests of African Americans than their religious counterparts. More specifically, I expected that Black churches would be more conservative (i.e. maintain paternalistic heteronormative sexual standards) than the community-based organizations. Yet findings indicate that the Black churches in this study were more similar than different than the community-based organizations in their strategic responses to HIV/AIDS. Both the community-based organizations and Black churches drew upon three main strategies in ways that politicalize the struggle for Black survival—or what I regard as Black survival politics. First, Black survival strategies for HIV/AIDS include coalition building at the intersection of multiple systems of inequality, as well as on the levels of identity and community. Second, Black survival politics include altering aspects of religious norms and practices related to sex and sexuality. Third, Black survival politics relies on the resources of the government to provide HIV/AIDS related programs and initiatives that are, in large part, based on the gains made from collective action.

Absolutely Continuous Spectrum for Parabolic Flows/Maps

This work is devoted to creating an abstract framework for the study of certain spectral properties of parabolic systems. Specifically, we determine under which general conditions to expect the presence of absolutely continuous spectral measures. We use these general conditions to derive results for spectral properties of time-changes of unipotent flows on homogeneous spaces of semisimple groups regarding absolutely continuous spectrum as well as maximal spectral type; the time-changes of the horocycle flow are special cases of this general category of flows. In addition we use the general conditions to derive spectral results for twisted horocycle flows and to rederive spectral results for skew products over translations and Furstenberg transformations.

Efficient Image and Video Representations for Retrieval

Image (Video) retrieval is an interesting problem of retrieving images (videos) similar to the query. Images (Videos) are represented in an input (feature) space and similar images (videos) are obtained by finding nearest neighbors in the input representation space. Numerous input representations both in real valued and binary space have been proposed for conducting faster retrieval. In this thesis, we present techniques that obtain improved input representations for retrieval in both supervised and unsupervised settings for images and videos. Supervised retrieval is a well known problem of retrieving same class images of the query. We address the practical aspects of achieving faster retrieval with binary codes as input representations for the supervised setting in the first part, where binary codes are used as addresses into hash tables. In practice, using binary codes as addresses does not guarantee fast retrieval, as similar images are not mapped to the same binary code (address). We address this problem by presenting an efficient supervised hashing (binary encoding) method that aims to explicitly map all the images of the same class ideally to a unique binary code. We refer to the binary codes of the images as `Semantic Binary Codes' and the unique code for all same class images as `Class Binary Code'. We also propose a new class­ based Hamming metric that dramatically reduces the retrieval times for larger databases, where only hamming distance is computed to the class binary codes. We also propose a Deep semantic binary code model, by replacing the output layer of a popular convolutional Neural Network (AlexNet) with the class binary codes and show that the hashing functions learned in this way outperforms the state­ of ­the art, and at the same time provide fast retrieval times. In the second part, we also address the problem of supervised retrieval by taking into account the relationship between classes. For a given query image, we want to retrieve images that preserve the relative order i.e. we want to retrieve all same class images first and then, the related classes images before different class images. We learn such relationship aware binary codes by minimizing the similarity between inner product of the binary codes and the similarity between the classes. We calculate the similarity between classes using output embedding vectors, which are vector representations of classes. Our method deviates from the other supervised binary encoding schemes as it is the first to use output embeddings for learning hashing functions. We also introduce new performance metrics that take into account the related class retrieval results and show significant gains over the state­ of­ the art. High Dimensional descriptors like Fisher Vectors or Vector of Locally Aggregated Descriptors have shown to improve the performance of many computer vision applications including retrieval. In the third part, we will discuss an unsupervised technique for compressing high dimensional vectors into high dimensional binary codes, to reduce storage complexity. In this approach, we deviate from adopting traditional hyperplane hashing functions and instead learn hyperspherical hashing functions. The proposed method overcomes the computational challenges of directly applying the spherical hashing algorithm that is intractable for compressing high dimensional vectors. A practical hierarchical model that utilizes divide and conquer techniques using the Random Select and Adjust (RSA) procedure to compress such high dimensional vectors is presented. We show that our proposed high dimensional binary codes outperform the binary codes obtained using traditional hyperplane methods for higher compression ratios. In the last part of the thesis, we propose a retrieval based solution to the Zero shot event classification problem - a setting where no training videos are available for the event. To do this, we learn a generic set of concept detectors and represent both videos and query events in the concept space. We then compute similarity between the query event and the video in the concept space and videos similar to the query event are classified as the videos belonging to the event. We show that we significantly boost the performance using concept features from other modalities.

The Space Between

I approach my practice through the truth that art is inseparable from reality. Reducing art to a single idea is an unnatural limitation because the creative process and its manifestations result from many parallel ideas, instincts, emotions and reflections. In the following, I trace the central sources of the inspiration for work and attempt to bridge the experiential and intuitive processes that concurrently fuel my creative process.

Quantum Gate and Quantum State Preparation through Neighboring Optimal Control

Successful implementation of fault-tolerant quantum computation on a system of qubits places severe demands on the hardware used to control the many-qubit state. It is known that an accuracy threshold Pa exists for any quantum gate that is to be used for such a computation to be able to continue for an unlimited number of steps. Specifically, the error probability Pe for such a gate must fall below the accuracy threshold: Pe < Pa. Estimates of Pa vary widely, though Pa ∼ 10−4 has emerged as a challenging target for hardware designers. I present a theoretical framework based on neighboring optimal control that takes as input a good quantum gate and returns a new gate with better performance. I illustrate this approach by applying it to a universal set of quantum gates produced using non-adiabatic rapid passage. Performance improvements are substantial comparing to the original (unimproved) gates, both for ideal and non-ideal controls. Under suitable conditions detailed below, all gate error probabilities fall by 1 to 4 orders of magnitude below the target threshold of 10−4. After applying the neighboring optimal control theory to improve the performance of quantum gates in a universal set, I further apply the general control theory in a two-step procedure for fault-tolerant logical state preparation, and I illustrate this procedure by preparing a logical Bell state fault-tolerantly. The two-step preparation procedure is as follow: Step 1 provides a one-shot procedure using neighboring optimal control theory to prepare a physical qubit state which is a high-fidelity approximation to the Bell state |β01⟩ = 1/√2(|01⟩ + |10⟩). I show that for ideal (non-ideal) control, an approximate |β01⟩ state could be prepared with error probability ϵ ∼ 10−6 (10−5) with one-shot local operations. Step 2 then takes a block of p pairs of physical qubits, each prepared in |β01⟩ state using Step 1, and fault-tolerantly prepares the logical Bell state for the C4 quantum error detection code.

ENZYME-FREE UBIQUITIN LIGATION. FROM NATIVE CHEMICAL LIGATION AND SPIN LABELING TO DIMERIZATION BY INTER-UBIQUITIN MIMICKING LINKAGE AND PH-DEPENDENT CONFORMATIONAL SWITCH

The delicate balance between the production and disposal of proteins is vital for the changes required in the cell to respond to given stimulus. Ubiquitination is a protein modification with a range of signaling outcomes when ubiquitin is attached to a protein through a highly ordered enzymatic cascade process. Understanding ubiquitination is a growing field and nowadays the application of chemical reactions allows the isolation of quantitative materials for structural studies. Therefore, in this dissertation it is described some of these suitable chemical methodologies to produce an isopeptide bond toward the polymerization of ubiquitin bypassing the enzymatic control with the purpose of showing if these chemical modifications have a direct impact on the structure of ubiquitin. First, the possibility of incorporating non-natural lysine analogs known as mercaptolysines into the polypeptide chain of Ubiquitin was explored when they were attached to ubiquitin by native chemical ligation at its C terminus. The sulfhydryl group was used for the attachment of a paramagnetic label to map the surface of ubiquitin. Second, the condensation catalyzed by silver nitrate was used for the dimer assembly. In particular, the main focus was on examining whether orthogonal protection and deprotection of each monomer have an impact on the reaction yield, since the synthetic strategy has been previously attempted successfully. Third, the formation of ubiquitin dimers was approached by building an inter-ubiquitin linkage mimicking the isopeptide bond with two approaches, the classic disulfide exchange as well as the thiol-ene click reaction by thermal initiation in aqueous conditions. After assembling the dimeric units, they were studied by Nuclear Magnetic Resonance, in order to establish a conformational state profile which depends on the pH conditions. The latter is a very important concept since some ligands have a preferred affinity when the protein-protein hydrophobic patches are in close proximity.

Language-based Techniques for Practical and Trustworthy Secure Multi-party Computations

Secure Multi-party Computation (MPC) enables a set of parties to collaboratively compute, using cryptographic protocols, a function over their private data in a way that the participants do not see each other's data, they only see the final output. Typical MPC examples include statistical computations over joint private data, private set intersection, and auctions. While these applications are examples of monolithic MPC, richer MPC applications move between "normal" (i.e., per-party local) and "secure" (i.e., joint, multi-party secure) modes repeatedly, resulting overall in mixed-mode computations. For example, we might use MPC to implement the role of the dealer in a game of mental poker -- the game will be divided into rounds of local decision-making (e.g. bidding) and joint interaction (e.g. dealing). Mixed-mode computations are also used to improve performance over monolithic secure computations. Starting with the Fairplay project, several MPC frameworks have been proposed in the last decade to help programmers write MPC applications in a high-level language, while the toolchain manages the low-level details. However, these frameworks are either not expressive enough to allow writing mixed-mode applications or lack formal specification, and reasoning capabilities, thereby diminishing the parties' trust in such tools, and the programs written using them. Furthermore, none of the frameworks provides a verified toolchain to run the MPC programs, leaving the potential of security holes that can compromise the privacy of parties' data. This dissertation presents language-based techniques to make MPC more practical and trustworthy. First, it presents the design and implementation of a new MPC Domain Specific Language, called Wysteria, for writing rich mixed-mode MPC applications. Wysteria provides several benefits over previous languages, including a conceptual single thread of control, generic support for more than two parties, high-level abstractions for secret shares, and a fully formalized type system and operational semantics. Using Wysteria, we have implemented several MPC applications, including, for the first time, a card dealing application. The dissertation next presents Wys*, an embedding of Wysteria in F*, a full-featured verification oriented programming language. Wys* improves on Wysteria along three lines: (a) It enables programmers to formally verify the correctness and security properties of their programs. As far as we know, Wys* is the first language to provide verification capabilities for MPC programs. (b) It provides a partially verified toolchain to run MPC programs, and finally (c) It enables the MPC programs to use, with no extra effort, standard language constructs from the host language F*, thereby making it more usable and scalable. Finally, the dissertation develops static analyses that help optimize monolithic MPC programs into mixed-mode MPC programs, while providing similar privacy guarantees as the monolithic versions.

EFFECTS OF AGING ON MIDBRAIN AND CORTICAL SPEECH-IN-NOISE PROCESSING

Older adults frequently report that they can hear what they have been told but cannot understand the meaning. This is particularly true in noisy conditions, where the additional challenge of suppressing irrelevant noise (i.e. a competing talker) adds another layer of difficulty to their speech understanding. Hearing aids improve speech perception in quiet, but their success in noisy environments has been modest, suggesting that peripheral hearing loss may not be the only factor in the older adult’s perceptual difficulties. Recent animal studies have shown that auditory synapses and cells undergo significant age-related changes that could impact the integrity of temporal processing in the central auditory system. Psychoacoustic studies carried out in humans have also shown that hearing loss can explain the decline in older adults’ performance in quiet compared to younger adults, but these psychoacoustic measurements are not accurate in describing auditory deficits in noisy conditions. These results would suggest that temporal auditory processing deficits could play an important role in explaining the reduced ability of older adults to process speech in noisy environments. The goals of this dissertation were to understand how age affects neural auditory mechanisms and at which level in the auditory system these changes are particularly relevant for explaining speech-in-noise problems. Specifically, we used non-invasive neuroimaging techniques to tap into the midbrain and the cortex in order to analyze how auditory stimuli are processed in younger (our standard) and older adults. We will also attempt to investigate a possible interaction between processing carried out in the midbrain and cortex.

Between Nation and State: Albanian Associations from Ottoman Origins to a Communist Party, 1880 - 1945

This dissertation addresses the broader antecedents of the Communist Party of Albania (CPA) as one of a number of associations whose experience was central to Albanian political history. This long experience dates back to the informal national associations formed in the Ottoman Empire of the late nineteenth century. The dissertation examines the role of these associations which, pursuing language rights and political representation through imperial state reforms, set a pattern that struggled to connect nation and state, rather than asserting the territorial demands for a nation-state familiar across the region. Starting out in the Ottoman Empire, but then maturing in the Albanian diaspora in Romania, Bulgaria, Egypt and the United States, this dissertation shows politically significant processes of longer-term adaptation that created informal associations as institutional structures able to channel collective action. It then traces the reframing of these patterns through their destruction in the Balkan Wars and the First World War to the emergence of communist associations in the interwar period and beyond. This dissertation is a sustained study that traces long-term Ottoman imperial political legacies in the Albanian successor state. The story of the associations, based on hitherto unexamined archival documents, shows that the Albanians possessed a far greater capacity for political mobilization that previously acknowledged by historians. Moreover, the dissertation successfully challenges the conventional wisdom that portrays the Albanians as irreparably divided along sectarian and regional faultlines. It finds that Albanian national activism was civic in character rather than ethnic as elsewhere in the Balkans. The Albanians fought to remain within a multinational framework because this afforded them political security, social advancement and potential economic growth. In the late Ottoman period, this political objective was manifested in the acceptance of the supranational imperial order whereas during the Second World War, in the aspiration to become members of the Comintern internationalist movement. Another important find, is the newly-discovered evidence concerning the founding of the CPA and its wartime conduct as an organization created and led by the Albanians themselves, albeit with Yugoslav ideological assistance under the transnational umbrella of the Comintern.