Presentation on Voice of America broadcaster Willis Conover's long association with Polish jazz, given at the meeting of the International Association of Music Libraries, Archives and Documentation Centres (IAML) Congress held in Kraków, Poland July 14-19, 2019.

Porphyrins offer a very synthetically flexible template which can be modified in numerous ways to synthesize molecules with very useful properties applicable in areas such as non-linear optical properties, photodynamic therapy, dye-sensitized solar cells, chemical sensors and organic electronic devices. β-Substituted π-extended porphyrins offer unique capabilities in tuning the properties of the molecule towards practical applications. Increased π-conjugation allows the HOMO-LUMO gap to decrease and hence to redshift the absorption into the near-IR region. β-Fused benzoporphyrins offer additional benefits in which the benzene ring itself can be further modified using electron donating substituents and electron donating substituents to electronically tune these porphyrins for various uses. The goal of the research pursued in this dissertation was to develop new methods for the development of β-Substituted π-extended porphyrins and to study their optical and electronic properties. To accomplish this goal, we developed new method to synthesize A2B2 type tetrabenzoporphyrins and we studied the electron transfer in such systems. We also studied the effectiveness of such systems in dye sensitized solar cells. A new method to synthesize functionalized naphthalene fused porphyrins was also developed and we were also able to use this method to synthesize a push-pull naphthalene fused porphyrin.

Through a series of carefully designed experiments, characterization and some modeling tools, this work is aimed at studying the role of thermal profiles on different microstructural zones and associated properties like strength and corrosion through a variation of weld parameters, thermal boundary conditions and material temper. Two different alloys belonging to the Al-Cu and Al-Cu-Li system in different temper conditions- peak aged (T8) and annealed (O) were used. A 3D-thermal pseudo mechanical (TPM) model is developed for the FSW process using heat transfer module in COMSOL Multiphysics and is based on a heat source wherein the temperature dependent yield shear stress is used for the heat generation. The precipitation and coarsening model is based on the Kampmann and Wagner theoretical framework and accounts for the competition between the various nucleation sites for both metastable and equilibrium precipitates. The model predicts different precipitate mean radius and volume fraction for the various zones in the friction stir welded material. A model for the yield strength is developed which considers contributions from different strengthening mechanisms. The predictions of the each models have been verified against experimental data and literature. At constant advance per rotation, the peak temperature decreases with a decrease in traverse …

Poor post-school outcomes for young adults with an autism spectrum disorder (ASD) have underscored the need to gain insight into the use of evidence-based practices (EBPs) in the planning and implementation of transition services. EBPs for effective transition planning and implementation have been documented in the literature but do not appear to be fully utilized in practice to achieve desired student outcomes, reflecting a research-to-practice gap. EBPs have the potential to produce positive outcomes at the high school level, if implemented with fidelity. Special education personnel, especially administrators, play a vital and unique role in transition planning. They can either facilitate or hinder the process. This phenomenological study investigated the perceptions of public school administrators regarding the extent of their awareness of EBPs to ensure the successful transition of students with ASD and associated barriers. Semi-structured interviews were conducted with 10 secondary-level public school administrators. Major themes identified through analyzing the qualitative data included (a) a positive vision for students with ASD, (b) characteristics of a good transition program, (c) administrators' roles in the transition process, (d) barriers to EBP implementation, (e) strategies to reduce barriers, and (f) ownership of what administrators can do to remedy the problem. Lastly, the …

If mania and depression are part of the same pathological processes, one would predict that episodes of one prospectively increase the odds of episodes of the other. The aim of the present study was to test this hypothesis. For comparison purposes, their relationship was contrasted to the relationship between mania and periods of psychosis. Exploratory analyses also tested the degree to which episodes of each occur with greater frequency over time (i.e., kindling). Participants for the present study came from the Suffolk County Mental Health Project (N = 628), a study of first-admission patients with psychosis. Of these participants, 144 met diagnostic criteria for bipolar I disorder and were analyzed for the current study. Results indicated that mania in a given month predicted depression the following month, even after controlling for other symptoms. The reverse, however, was not the case. Mania and psychosis, in contrast, were found to be robust predictors of one another from month to month. Effects were not due to treatment or demographic differences. These findings provide evidence that mania and depression are weakly related. In contrast, mania and psychosis are more closely linked. Findings are consistent with suggestions that psychiatric nosology regroup mania more closely with …

Collection of poems.

Positive memories play an important role in the etiology and maintenance of posttraumatic stress disorder (PTSD). Additionally, there are potential clinical benefits of recalling positive memories on affect, cognitions, and behaviors. However, most research/clinical work has focused on the role of traumatic memories in PTSD's symptomatology and treatment. The current study examined positive memory recall difficulties and positive memory phenomenology among 185 trauma-exposed individuals with varying PTSD severity. Participants completed the Life Events Checklist for DSM-5, PTSD Checklist for DSM-5, Autobiographical Memory Test, Memory Experiences Questionnaire – Short Form, Ruminative Thought Style Questionnaire, Difficulties in Emotional Regulation Scale – Brief 16-Item Version, Difficulties in Emotional Regulation Scale – Positive Emotions, the Positive Affect subscale of the Affective Control Scale, and two items from the Pittsburg Sleep Quality Index. Results showed that (1) greater PTSD severity was a marginally significant predictor of fewer recalled positive memories; (2) greater positive emotional dysregulation predicted fewer recalled positive memories controlling for PTSD severity; and (3) increasing PTSD severity predicted more negative valence, less vividness, less coherence, less accessibility, less clear time perspective, fewer sensory details, and greater distancing ratings of the recalled positive memory, controlling for sleep quantity/quality. Such findings add to the PTSD-positive …

This dissertation focuses on the development, characterization, and analysis of luminescent materials and coatings for sensing applications, including CO2, heavy metals, and silver. Chapter 2 involves the use of a gold(I) pyrazolate trimer that is able to detect silver ions with an AgNP medium. Detection of silver is vital, because there is an influx of silver into our environment caused by the increased use of AgNP. Therefore, having a sensor that is able to differentiate between and detect only Ag ions is an important first step to solving the toxicity mystery of AgNPs. Chapter 3 focuses on the development of sensor coatings containing a Eu(III) based luminescent system for sensing dissolved CO2 without the aid of an absorption-based dye. It is well-known that monitoring CO2 levels in our environment is important since even at low concentrations it can cause adverse health effects to the human body. This work demonstrates a pH-sensitive Eu complex being used directly as a CO2 sensor without the aid of any other absorption-based dye. Chapter 4 explores the idea of developing a heavy metal sensor for lead and its ability to detect lead in wide concentration range upon changing the pH of the medium and the …

This work discusses the C-H bond activation by transition metal complexes using various computational methods. First, we performed a DFT study of oxidative addition of methane to Ta(OC2H4)3A (where A may act as an ancillary ligand) to understand how A may affect the propensity of the complex to undergo oxidative addition. Among the A groups studied, they can be a Lewis acid (B or Al), a saturated, electron-precise moiety (CH or SiH), a σ-donor (N), or a σ-donor/π-acid (P). By varying A, we seek to understand how changing the electronic properties of A can affect the kinetics and thermodynamics of methane C–H activation by these complexes. For all A, the TS with H trans to A is favored kinetically over TS with CH3 trans to A. Upon moving from electron-deficient to electron-rich moieties (P and N), the computed C–H activation barrier for the kinetic product decreases significantly. Thus, changing A greatly influences the barrier for methane C–H oxidative addition by these complexes. Secondly, a computational study of oxidative addition (OA) of methane to M(OC2H4)3A (M = Ta, Re and A = ancillary ligand) was carried out using various computational methods. The purpose of this study was to understand how variation …

Internet of Things (IoT) is a promising technology with great potential for individuals, society, governments, and the economy. IoT is expected to become ubiquitous and influence every aspect of everyday experience. Thus, IoT represents an important phenomena for both organizational and behavioral information system (IS) researchers. This dissertation seeks to contribute to IS research by studying the aspects that influence IoT adoption and use at both consumer and organizational levels. This dissertation achieves this purpose in a series of three essays. The first essay focuses on IoT acceptance in the context of smart home. The second essay focuses on examining the effect of artificial intelligence (AI) capabilities on consumers' IoT perceptions and intentions. Finally, the third essay focuses on the organizational investment and adoption of IoT technologies.

This dissertation investigates the interrelationships between a client's non-GAAP earnings disclosures, financial health (profit and loss status), and the external auditor's assessment of the client's going concern status. This dissertation comprises two essays. Essay 1 examines the informativeness and the quality of non-GAAP earnings disclosures in profit and loss firms separately. Using a large sample of non-GAAP earnings voluntarily disclosed by managers, I find that the informativeness and the quality of non-GAAP earnings vary in firms cross-classified by GAAP loss status and non-GAAP loss status. I also find that loss firms have higher quality non-GAAP exclusions relative to profit firms, although the expenses excluded by both profit and loss firms are associated with firms' future performance. Further, I posit and find that profit firms which voluntarily disclose non-GAAP losses have high-quality exclusions, while other non-GAAP reporting profit firms have low-quality exclusions. Having found that non-GAAP earnings in loss firms is opportunistic to some extent, I next study, in Essay 2, whether auditors understand the implications of low-quality non-GAAP reporting in these firms. Specifically, I examine 1) whether non-GAAP earnings disclosures are associated with the propensity of the auditor's going concern issuance to loss firms, and 2) whether non-GAAP earnings disclosures …

A collection of interconnected short stories set in diverse corners of Texas, converging on Galveston Island before and after Hurricane Ike.

Training autonomous agents that are capable of performing their assigned job without fail is the ultimate goal of deep reinforcement learning. This thesis introduces a dueling Quantile Regression Deep Q-network, where the network learns the state value quantile function and advantage quantile function separately. With this network architecture the agent is able to learn to control simulated robots in the Gazebo simulator. Carefully crafted reward functions and state spaces must be designed for the agent to learn in complex non-stationary environments. When trained for only 100,000 timesteps, the agent is able reach asymptotic performance in environments with moving and stationary obstacles using only the data from the inertial measurement unit, LIDAR, and positional information. Through the use of transfer learning, the agents are also capable of formation control and flocking patterns. The performance of agents with frozen networks is improved through advice giving in Deep Q-networks by use of normalized Q-values and majority voting.

This manuscript includes an investigation of decision making in alternative modes of transportation in order to understand consumers' decision in different contexts. In essay 1 of this study, the motives for participation in situated ridesharing is investigated. The study proposes a theoretical model that includes economic benefits, time benefits, transportation anxiety, trust, and reciprocity either as direct antecedents of ridesharing participation intention, or mediated through attitude towards ridesharing. Essay 2 of this study, focuses on self-driving vehicles as one of the recent innovations in transportation industry. Using a survey approach, the study develops a conceptual model of consumers' anticipated motives. Both essays use partial least square- structural equation modeling for assessing the proposed theoretical models.

A collection of poems that explores notions of disability, family, and belief, with a preface that meditates on questions related to the ethical ramifications of various approaches to the making of poetry and art that takes up the suffering of others as subject matter.

With the advent of information explosion age, larger capacity disk drives are used to store data and powerful devices are used to process big data. As the scale and complexity of computer systems increase, we expect these systems to provide dependable and energy-efficient services and computation. Although hard drives are reliable in general, they are the most commonly replaced hardware components. Disk failures cause data corruption and even data loss, which can significantly affect system performance and financial losses. In this dissertation research, I analyze different manifestations of disk failures in production data centers and explore data mining techniques combined with statistical analysis methods to discover categories of disk failures and their distinctive properties. I use similarity measures to quantify the degradation process of each failure type and derive the degradation signature. The derived degradation signatures are further leveraged to forecast when future disk failures may happen. Meanwhile, this dissertation also studies energy efficiency of high performance computers. Specifically, I characterize the power and energy consumption of Haswell processors which are used in multiple supercomputers, and analyze the power and energy consumption of Legion, a data-centric programming model and runtime system, and Legion applications. We find that power and energy …

Negation is a complex phenomenon present in all human languages, allowing for the uniquely human capacities of denial, contradiction, misrepresentation, lying, and irony. It is in the first place a phenomenon of semantical opposition. Sentences containing negation are generally (a) less informative than affirmative ones, (b) morphosyntactically more marked—all languages have negative markers while only a few have affirmative markers, and (c) psychologically more complex and harder to process. Negation often conveys positive meaning. This meaning ranges from implicatures to entailments. In this dissertation, I develop a system to reveal the underlying positive interpretation of negation. I first identify which words are intended to be negated (i.e, the focus of negation) and second, I rewrite those tokens to generate an actual positive interpretation. I identify the focus of negation by scoring probable foci along a continuous scale. One of the obstacles to exploring foci scoring is that no public datasets exist for this task. Thus, to study this problem I create new corpora. The corpora contain verbal, nominal and adjectival negations and their potential positive interpretations along with their scores ranging from 1 to 5. Then, I use supervised learning models for scoring the focus of negation. In order to …

An interrogation of male behavior in isolated masculine spaces through short stories, an essay, and chapters from a novel-in-progress.

Recent progress in layered transition metal dichalcogenides (TMDs) has led to various promising electronic and optoelectronic applications. However, the structure of materials plays a critical role in electronic and optoelectronic devices, and determines performance. Electronic and optoelectronic devices typically consist of multiple layers that form electrical homojunctions or heterojunctions. Therefore, in a device it can be expected that a WS2 layer may serve as the substrate for a subsequent layer in a multilayer device stack and determine how the layer grows. In transistor structures, roughness at the channel/gate dielectric interface introduces field variations and charge scattering. Therefore, understanding the relations between processing, surface morphology and properties is important. In this project, the effects of pulsed laser deposition (PLD) processing conditions on the surface morphology of few layered WS2 films were studied. WS2 films were synthesized under processing conditions that represent the extremes of surface supersaturation and kinetic energy transfer from the flux to the growing films, and evolution of the surface morphology was studied. The specific conditions were 1Hz/50mJ, 10Hz/50mJ, 1Hz/300mJ, and 10Hz/300mJ respectively. Combining AFM, XRD and Raman analyses, it was determined that deposition at 10Hz/300mJ, provided the best structural properties and surface morphology. Growth appeared to be 3D-cluster, …

Brazos is a collection of poetry that comments on and critiques life in a small town in Texas. These poems situate the speaker both in this town and in spaces removed from the town, but the work always grapples with questions of how the speaker identifies himself via the relationship to that space. The creative portion is accompanied by a critical introduction that looks at the intersections of poetry and the lyric essay.

Consumer's opinions and sentiments on products can reflect the performance of products in general or in various aspects. Analyzing these data is becoming feasible, considering the availability of immense data and the power of natural language processing. However, retailers have not taken full advantage of online comments. This work is dedicated to a solution for automatically analyzing and summarizing these valuable data at both product and category levels. In this research, a system was developed to retrieve and analyze extensive data from public online resources. A parallel framework was created to make this system extensible and efficient. In this framework, a star topological network was adopted in which each computing unit was assigned to retrieve a fraction of data and to assess sentiment. Finally, the preprocessed data were collected and summarized by the central machine which generates the final result that can be rendered through a web interface. The system was designed to have sound performance, robustness, manageability, extensibility, and accuracy.

Deep reinforcement learning is an area of research that has blossomed tremendously in recent years and has shown remarkable potential in computer games. Real-time strategy game has become an important field of artificial intelligence in game for several years. This paper is about to introduce a kind of algorithm that used to train agents to fight against computer bots. Not only because games are excellent tools to test deep reinforcement learning algorithms for their valuable insight into how well an algorithm can perform in isolated environments without the real-life consequences, but also real-time strategy games are a very complex genre that challenges artificial intelligence agents in both short-term or long-term planning. In this paper, we introduce some history of deep learning and reinforcement learning. Then we combine them with StarCraft. PPO is the algorithm which have some of the benefits of trust region policy optimization (TRPO), but it is much simpler to implement, more general for environment, and have better sample complexity. The StarCraft environment: Blood War Application Programming Interface (BWAPI) is open source to test. The results show that PPO can work well in BWAPI and train units to defeat the opponents. The algorithm presented in the thesis is …

This work involves synthesis and characterization of isotropic and anisotropic noble metal nanoparticles for applications ranging from antimicrobial uses to anticancer applications. These nanomaterials are stabilized in genuinely benign biomaterials ranging from polymers to cross linked proteins for targeted cancer treatments. The nanoparticles are found to have tunable optical properties.

This study focuses on the transgender community's presence and portrayal in advertisements that reach a broad, mainstream audience base. Through a mixed-methods use of focus groups and qualitative content analysis, the content, context, and framings of ads between the years 2015 and 2018 are explored to illustrate current portrayals of the trans community and how the industry is approaching this subcultural group. Its findings contribute to advertising research by exploring current trends in trans portrayals in the cultural context they exist. Because trans advertising in both LGBTQ+ publications and to mainstream audience is largely unexplored, this study seeks to begin a conversation among advertising professionals. The main objective is to ultimately improve the number of genuine, positive portrayals of trans people in advertising and hold the industry accountable for the role they play in serving this community.