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A Text Analysis of Data Science Career Opportunities and U.S. iSchool Curriculum
Data science employment opportunities of varied complexity and environment are in growing demand across the globe. Data science as a discipline potentially offers a wealth of jobs to prospective employees, while traditional information science-based roles continue to decrease as budgets get cut across the U.S. Since data is related closely to information historically, this research will explore the education of U.S. iSchool professionals and compare it to traditional data science roles being advertised within the job market. Through a combination of latent semantic analysis of over 1600 job postings and iSchool course documentation, it is our aim to explore the intersection of library and information science and data science. Hopefully these research findings will guide future directions for library and information science professionals into data science driven roles, while also examining and highlighting the data science techniques currently driven by the education of iSchool professionals. In addition, it is our aim to understand how data science could benefit from a mutually symbiotic relationship with the field of information science as statistically data scientists spend far too much time working on data preparation and not nearly enough time conducting scientific inquiry. The results of this examination will potentially guide future directions of iSchool students and professionals towards more cooperative data science roles and guide future research into the intersection between iSchools and data science and possibilities for partnership.
Electrically Tunable Absorption and Perfect Absorption Using Aluminum-Doped Zinc Oxide and Graphene Sandwiched in Oxides
Understanding the fundamental physics in light absorption and perfect light absorption is vital for device applications in detector, sensor, solar energy harvesting and imaging. In this research study, a large area fabrication of Al-doped ZnO/Al2O3/graphene/Al2O3/gold/silicon device was enabled by a spin-processable hydrophilic mono-layer graphene oxide. In contrast to the optical properties of noble metals, which cannot be tuned or changed, the permittivity of transparent metal oxides, such as Al-doped ZnO and indium tin oxide, are tunable. Their optical properties can be adjusted via doping or tuned electrically through carrier accumulation and depletion, providing great advantages for designing tunable photonic devices or realizing perfect absorption. A significant shift of Raman frequency up to 360 cm-1 was observed from graphene in the fabricated device reported in this work. The absorption from the device was tunable with a negative voltage applied on the Al-doped ZnO side. The generated absorption change was sustainable when the voltage was off and erasable when a positive voltage was applied. The reflection change was explained by the Fermi level change in graphene. The sustainability of tuned optical property in graphene can lead to a design of device with less power consumption.
Relationships between Job Satisfaction, Work Engagement, and Turnover Intention of Health Science Teachers
The purpose of this research was to investigate the relationships between job satisfaction, work engagement, and turnover intention of health science teachers in the state of Texas. The healthcare profession is one of the largest growing occupations in the U.S. nationwide. The job growth outlook for healthcare professionals is projected to be on average 34% between 2014 and 2024. Despite the growing healthcare job categories, there is a shortage of healthcare professionals in the U.S. This study addressed the shortage of health science teachers in secondary education. Considering the importance of healthcare, especially with an aging U.S. population, it is critical to study the impact of work engagement and job satisfaction on teacher intent to leave the health science teaching profession. Through a correlational survey research design it was found that job satisfaction and work engagement are negatively related to turnover intention. Hierarchical regression analysis indicated that job satisfaction accounted for 39.6% of the variation in turnover intention. Findings also showed that work engagement did not moderate the relationship between job satisfaction and turnover intention. Implications for research and practice are discussed and conclusions are provided.
A Random Walk Version of Robbins' Problem
Robbins' problem is an optimal stopping problem where one seeks to minimize the expected rank of their observations among all observations. We examine random walk analogs to Robbins' problem in both discrete and continuous time. In discrete time, we consider full information and relative ranks versions of this problem. For three step walks, we give the optimal stopping rule and the expected rank for both versions. We also give asymptotic upper bounds for the expected rank in discrete time. Finally, we give upper and lower bounds for the expected rank in continuous time, and we show that the expected rank in the continuous time problem is at least as large as the normalized asymptotic expected rank in the full information discrete time version.
Distributed Consensus, Optimization and Computation in Networked Systems
In the first part of this thesis, we propose a distributed consensus algorithm under multi-layer multi-group structure with communication time delays. It is proven that the consensus will be achieved in both time-varying and fixed communication delays. In the second part, we study the distributed optimization problem with a finite-time mechanism. It is shown that our distributed proportional-integral algorithm can exponentially converge to the unique global minimizer when the gain parameters satisfy the sufficient conditions. Moreover, we equip the proposed algorithm with a decentralized algorithm, which enables an arbitrarily chosen agent to compute the exact global minimizer within a finite number of time steps, using its own states observed over a successive time steps. In the third part, it is shown the implementation of accelerated distributed energy management for microgrids is achieved. The results presented in the thesis are corroborated by simulations or experiments.
The Chief Security Officer Problem
The Chief Security Officer Problem (CSO) consists of a CSO, a group of agents trying to communicate with the CSO and a group of eavesdroppers trying to listen to the conversations between the CSO and its agents. Through Lemmas and Theorems, several Information Theoretic questions are answered.
Quantum Coherence Effects Coupled via Plasmons
This thesis is an attempt at studying quantum coherence effects coupled via plasmons. After introducing the quantum coherence in atomic systems in Chapter 1, we utilize it in Chapter 2 to demonstrate a new technique of detection of motion of single atoms or irons inside an optical cavity. By taking into account the interaction of coherences with surface plasmonic waves excited in metal nanoparticles, we provide a theoretical model along with experimental data in Chapter 3 to describe the modification of Raman spectra near metal nanoparticles. We show in chapter 4 that starting from two emitters, coupled via a plasmonic field, the symmetry breaking occurs, making detectable the simultaneous existence of the fast super-radiance and the slow sub-radiance emission of dye fluorescence near a plasmonic surface. In Chapter 5, we study the photon statistics of a group of emitters coupled via plasmons and by the use of quantum regression theorem, we provide a theoretical model to fully investigate the dependence of photon bunching and anti-bunching effects to the interaction between atoms, fields and surrounding mediums.
Fabrication and Study of the Optical Properties of 3D Photonic Crystals and 2D Graded Photonic Super-Crystals
In this dissertation, I am presenting my research on the fabrication and simulation of the optical properties of 3D photonic crystals and 2D graded photonic super-crystals. The 3D photonic crystals were fabricated using holographic lithography with a single, custom-built reflective optical element (ROE) and single exposure from a visible light laser. Fully 3D photonic crystals with 4-fold, 5- fold, and 6-fold symmetries were fabricated using the flexible, 3D printed ROE. In addition, novel 2D graded photonic super-crystals were fabricated using a spatial light modulator (SLM) in a 4f setup for pixel-by-pixel phase engineering. The SLM was used to control the phase and intensity of sets of beams to fabricate the 2D photonic crystals in a single exposure. The 2D photonic crystals integrate super-cell periodicities with 4-fold, 5-fold, and 6-fold symmetries and a graded fill fraction. The simulations of the 2D graded photonic super-crystals show extraordinary properties such as full photonic band gaps and cavity modes with Q-factors of ~106. This research could help in the development of organic light emitting diodes, high-efficiency solar cells, and other devices.
Educator Perceptions of Forces Influencing Implementation of a Statewide Writing Portfolio Assessment
Leaders of the 84th Texas Legislature drafted and ratified HB 1164 (2015), prompting the Texas Education Agency to pilot a portfolio assessment option for assessing student writing growth and proficiency. The purpose of this study was to identify the perceptions, characterize the experiences, and identify the forces that influenced initial implementation of the statewide writing pilot. Through interviews with district leaders and the collection of open-ended questionnaires from participating educators, a collective case study method was conducted and allowed for analysis of cross-case themes. The identification of restraining and driving forces affecting implementation of the statewide pilot program provided insight into considerations for next steps in the evaluation of student writing achievement and growth. Three primary perceptions emerged as restraining forces influencing implementation: influences of inadequate funding, inconsistencies of implementation, and navigation of multiple assessment systems. Six primary themes related to driving forces influencing implementation were identified: using sociocultural and authentic methods, engaging in reflective practices, increasing volume and variety of writing opportunities, assessing student growth, aligning methods of instruction and assessment, and reducing stress for students. Effective professional development, dependent upon funding and staffing allocations; two-way channels of communication for participant reflection and feedback; and effective assessment structures must be aligned with the purpose and goals of a student-centered assessment system, which requires collaborative conversations between policy makers, state-level decision makers, and educators.
Toward Supporting Fine-Grained, Structured, Meaningful and Engaging Feedback in Educational Applications
Recent advancements in machine learning have started to put their mark on educational technology. Technology is evolving fast and, as people adopt it, schools and universities must also keep up (nearly 70% of primary and secondary schools in the UK are now using tablets for various purposes). As these numbers are likely going to follow the same increasing trend, it is imperative for schools to adapt and benefit from the advantages offered by technology: real-time processing of data, availability of different resources through connectivity, efficiency, and many others. To this end, this work contributes to the growth of educational technology by developing several algorithms and models that are meant to ease several tasks for the instructors, engage students in deep discussions and ultimately, increase their learning gains. First, a novel, fine-grained knowledge representation is introduced that splits phrases into their constituent propositions that are both meaningful and minimal. An automated extraction algorithm of the propositions is also introduced. Compared with other fine-grained representations, the extraction model does not require any human labor after it is trained, while the results show considerable improvement over two meaningful baselines. Second, a proposition alignment model is created that relies on even finer-grained units of text while also outperforming several alternative systems. Third, a detailed machine learning based analysis of students' unrestricted natural language responses to questions asked in classrooms is made by leveraging the proposition extraction algorithm to make computational predictions of textual assessment. Two computational approaches are introduced that use and compare manually engineered machine learning features with word embeddings input into a two-hidden layers neural network. Both methods achieve notable improvements over two alternative approaches, a recent short answer grading system and DiSAN – a recent, pre-trained, light-weight neural network that obtained state-of-the-art performance on multiple NLP tasks and corpora. Fourth, a …
A Tale of Two Cities: Exploring the Dual Language Program Implementation and Biliteracy Trajectories at Two Schools
With the increase in emergent bilinguals and higher standards for all, the challenge for educational stakeholders is to fully utilize dual language programs as a prominent means toward meeting and surpassing rigorous state and national standards. Part of maximizing dual language programs’ impact, and the purpose of this study, was to provide detailed analyses of program models and student biliteracy development. Thus, the research questions sought to explore the level of understanding and implementation of dual language programs in general and the biliteracy component in particular at each campus, before documenting the second through fifth grade English and Spanish reading biliteracy trajectories of students at each school. Both campuses experienced more challenges in the implementation of the program structure, staff quality, and professional development rather than in curriculum and instruction. Furthermore, although both campuses’ students experienced positive trajectories towards biliteracy by the end of fifth grade, each campus was characterized by different rates and correlation between English and Spanish reading growth in each grade. Finally, the researcher conducted a split plot MANOVA to examine how much variance in the biliteracy trajectories was explained by school attendance, gender, initial English oral language and initial Spanish oral language; only school of attendance and initial English oral language levels explained the variance in biliteracy trajectories for students at these campuses.
Interrelated Histories, Practices, and Forms of Communication: Using Arabic Calligraphy to Learn Arabic Typography
In this self-study inquiry, I studied my graphic design practice in a professional setting, focusing on my Arabic typographic skills and knowledge. My roles as researcher and design educator indivisibly intertwined throughout this research. I worked to understand the value of calligraphy in art and design education, highlighting its power as an art form while also emphasizing its pedagogical potentials. I utilized two theoretical approaches suited to investigating and understanding the Arabic letters as text and image, Ibn Arabi’s science of letters, or 'ilm al-hurûf, and semiotics. I applied my theoretical framework to three distinctive artworks to investigate their uses of the Arabic letters, contemplating their roles in modern and contemporary Arab art. Essential to my research was learning Arabic calligraphy through two approaches: 1) I attended a calligraphy workshop, and 2) I conducted three self-study experimentations. I analyzed my experience through visual representations, commentary, and narrative inquiry to assess Arabic calligraphy’s significance for graphic design education. As such, my experimentations confirmed Arabic calligraphy’s aesthetic and educational value. I employed my findings to create a contemporary Arabic typography curriculum suitable for university-level students. This curriculum is built on learning theories such as visual culture analysis, semiotics, constructivist theory, play principles, and critical thinking, aiming to situate Arabic calligraphy as a modern learning model significant for typography education. Finally, I constructed a basic course for Arabic typography to support students’ development of Arabic typography fluency.
Physical Activity Impact on Executive Function and Academic Achievement with Elementary Students
This study tested the hypothesis that daily physical activity improves the executive function and academic achievement of 9- to 11-year-old children. The quasi-experimental, pretest–posttest design included 60 eligible fourth and fifth grade students (51.7% female, 98% Hispanic; 10.26 years of age). Twenty-five students elected to participate in school day, zero-hour (1 hour before school starts) physical activity program for 8 weeks. The 35 students who did not sign up for the program served as the control group as masked data provided by the school. Standardized measures, Adele Diamond flanker task and the Wide Range Achievement Test 4, assessed executive function and academic achievement, respectively. Repeated-measures analysis of variance was used to determine differences between groups on executive function and academic achievement. There were no observable benefits from daily physical activity on executive function and academic achievement. Convenience sampling and voluntary attendance potentially limited the effect of exercise on performance.
Unethical Prosocial Behavior: Theory Development and Experimental Findings
Job performance has historically been divided into two subsets, that which is prescribed and that which is discretionary. Further, discretionary workplace behavior has typically been described as either helpful or ethical (i.e. organizational citizenship behavior) or harmful and unethical (i.e. workplace deviance behavior) with behavior that is both helpful and unethical rarely discussed. I term this lesser discussed type of discretionary workplace behavior unethical prosocial behavior and define it as discretionary actions that are intended to benefit a specific referent outside the self, either an individual or a group, that are illegal and/or morally inappropriate to larger society. In addition to defining unethical prosocial behavior, this paper places the behavior in an organizing framework of discretionary workplace behaviors and tests several hypotheses regarding unethical prosocial behavior. The hypotheses address three primary research questions. First, are there contextual conditions that make it more likely that a person will engage in unethical prosocial behavior? Second, does the nature of the relationship between the actor and the beneficiary make unethical prosocial behavior more or less likely? And third, are there individual characteristics that serve to either constrain or enhance the likelihood that and individual will engage in unethical prosocial behavior? A 2 x 2 experimental design was used to test these hypotheses. As expected, in-group (vs. out-group) salience increased the likelihood of UPB. Individuals in the in-group condition engaged in significantly greater UPBs than those in the out-group condition. Contrary to expectations, shared reward (vs. no reward) decreased the likelihood of UPB. Individuals who were due a reward engaged less in UPBs than those who were not due a reward. Possible explanations for this relationship (both methodological and theoretical) are explored. While the overall effect of reward structure on UPB was in the opposite direction from that which was expected, propensity to morally …
The Captain of the People in Renaissance Florence
The Renaissance Florentine Captain of the People began as a court, which defended the common people or popolo from the magnates and tried crimes such as assault, murder and fraud. This study reveals how factionalism, economic stress and the rise of citizen magistrate courts eroded the jurisdiction and ended the Court of the Captain. The creation of the Captain in 1250 occurred during the external fight for dominance between the Holy Roman Emperor and the Pope and the struggle between the Guelfs and Ghibellines within the city of Florence. The rise of the Ciompi in 1379, worried the Florentine aristocracy who believed the Ciompi was a threat to their power and they created the Otto di Guardia, a citizen magistrate court. This court began as a way to manage gaps in jurisdiction not covered by the Captain and his fellow rectors. However, by 1433 the Otto eroded the power of the Captain and his fellow rectors. Historians have argued that the Roman law jurists in this period became the tool for the aristocracy but in fact, the citizen magistrate courts acted as a source of power for the aristocracy. In the 1430s, the Albizzi and Medici fought for power. The Albizzi utilized a government mandate, which had the case already carried out or a bullectini to exile Medici adherents. However, by 1433, the Medici triumphed and Cosimo de Medici returned to the city of Florence. He expanded the power of the Otto in order to utilize the bullectini to exile his enemies. The expansion of jurisdiction of the Otto further eroded the power of the Captain. Factionalism, economic stress and the rise of the citizen magistrate courts eroded the power of the Captain of the people.
Enhancing User Search Experience in Digital Libraries with Rotated Latent Semantic Indexing
This study investigates a semi-automatic method for creation of topical labels representing the topical concepts in information objects. The method is called rotated latent semantic indexing (rLSI). rLSI has found application in text mining but has not been used for topical labels generation in digital libraries (DLs). The present study proposes a theoretical model and an evaluation framework which are based on the LSA theory of meaning and investigates rLSI in a DL environment. The proposed evaluation framework for rLSI topical labels is focused on human-information search behavior and satisfaction measures. The experimental systems that utilize those topical labels were built for the purposes of evaluating user satisfaction with the search process. A new instrument was developed for this study and the experiment showed high reliability of the measurement scales and confirmed the construct validity. Data was collected through the information search tasks performed by 122 participants using two experimental systems. A quantitative method of analysis, partial least squares structural equation modeling (PLS-SEM), was used to test a set of research hypotheses and to answer research questions. The results showed a not significant, indirect effect of topical label type on both guidance and satisfaction. The conclusion of the study is that topical labels generated using rLSI provide the same levels of alignment, guidance, and satisfaction with the search process as topical labels created by the professional indexers using best practices.
Time Series Data Analysis of Single Subject Experimental Designs Using Bayesian Estimation
This study presents a set of data analysis approaches for single subject designs (SSDs). The primary purpose is to establish a series of statistical models to supplement visual analysis in single subject research using Bayesian estimation. Linear modeling approach has been used to study level and trend changes. I propose an alternate approach that treats the phase change-point between the baseline and intervention conditions as an unknown parameter. Similar to some existing approaches, the models take into account changes in slopes and intercepts in the presence of serial dependency. The Bayesian procedure used to estimate the parameters and analyze the data is described. Researchers use a variety of statistical analysis methods to analyze different single subject research designs. This dissertation presents a series of statistical models to model data from various conditions: the baseline phase, A-B design, A-B-A-B design, multiple baseline design, alternating treatments design, and changing criterion design. The change-point evaluation method can provide additional confirmation of causal effect of the treatment on target behavior. Software codes are provided as supplemental materials in the appendices. The applicability for the analyses is demonstrated using five examples from the SSD literature.
Trees and Ordinal Indices in C(K) Spaces for K Countable Compact
In the dissertation we study the C(K) spaces focusing on the case when K is countable compact and more specifically, the structure of C() spaces for < ω1 via special type of trees that they contain. The dissertation is composed of three major sections. In the first section we give a detailed proof of the theorem of Bessaga and Pelczynski on the isomorphic classification of C() spaces. In due time, we describe the standard bases for C(ω) and prove that the bases are monotone. In the second section we consider the lattice-trees introduced by Bourgain, Rosenthal and Schechtman in C() spaces, and define rerooting and restriction of trees. The last section is devoted to the main results. We give some lower estimates of the ordinal-indices in C(ω). We prove that if the tree in C(ω) has large order with small constant then each function in the root must have infinitely many big coordinates. Along the way we deduce some upper estimates for c0 and C(ω), and give a simple proof of Cambern's result that the Banach-Mazur distance between c0 and c = C(ω) is equal to 3.
The Generational Shift: an Exploration of Leadership Behaviors of Senior Student Affairs Officers Through a Generational Lens
The purpose of this quantitative study was to identify and compare differences in leadership behaviors of senior student affairs officers (SSAOs) based on their generational cohort (Baby Boomer, Generation X, Millennial). The Multifactor Leadership Questionnaire (MLQ) was used to measure nine leadership behaviors and three leadership outcomes. Surveys were administered electronically to 3,361 individuals identified as a chief student affairs officer or director of student affairs in the Higher Education Online Directory (2014). The 449 respondents included 246 Baby Boomers, 192 Generation Xers, and 11 Millennials. Due to an uneven sample size, the Millennial group was removed from the data analysis. The total respondents consisted of 215 male and 219 female SSAOs with 260 employed at four-year private institutions and 170 employed at four-year public institutions. A MANOVA was utilized to determine whether or not statistical differences existed between the nine dependent variables (leadership behaviors) and independent group variables (generational group). The findings showed that whereas Generation X SSAOs exhibited more transactional leadership behaviors, Baby Boomer SSAOs were more transformational. The results of this study have implications for the field of student affairs in that research and practice support the need for more transformational leaders in senior administrative positions in higher education. If Generation X SSAOs who represent the next generation of administrators are more transactional in their leadership, college presidents and professional associations may need to develop a new, more transformational generation of SSAOs to replace Baby Boomers as they retire.
Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems
In order to run and manage resource-intensive high-performance applications, large-scale computing and storage platforms have been evolving rapidly in various domains in both academia and industry. The energy expenditure consumed to operate and maintain these cloud computing infrastructures is a major factor to influence the overall profit and efficiency for most cloud service providers. Moreover, considering the mitigation of environmental damage from excessive carbon dioxide emission, the amount of power consumed by enterprise-scale data centers should be constrained for protection of the environment.Generally speaking, there exists a trade-off between power consumption and application performance in large-scale computing systems and how to balance these two factors has become an important topic for researchers and engineers in cloud and HPC communities. Therefore, minimizing the power usage while satisfying the Service Level Agreements have become one of the most desirable objectives in cloud computing research and implementation. Since the fundamental feature of the cloud computing platform is hosting workloads with a variety of characteristics in a consolidated and on-demand manner, it is demanding to explore the inherent relationship between power usage and machine configurations. Subsequently, with an understanding of these inherent relationships, researchers are able to develop effective power management policies to optimize productivity by balancing power usage and system performance. In this dissertation, we develop an autonomic power-aware system management framework for large-scale computer systems. We propose a series of techniques including coarse-grain power profiling, VM power modelling, power-aware resource auto-configuration and full-system power usage simulator. These techniques help us to understand the characteristics of power consumption of various system components. Based on these techniques, we are able to test various job scheduling strategies and develop resource management approaches to enhance the systems' power efficiency.
Tubas on the Rise: the Tuba As a Signifier of 21st Century Mexican-American Music Culture in Southern California
Banda is a rural Mexican brass band genre from the state of Sinaloa that became popular among immigrant populations of Los Angeles in the 1990s. In contemporary banda, the tuba has acquired a more prominent role than it held in traditional banda. The tuba has shifted from the traditional background harmonic and rhythmic function to a significant and new placement with the front line melodic instruments. The focus on tubas in modern incarnations of banda has helped it become a staple in acoustic and accordion genres such as sierreña and norteña. In many Mexican-American regional ensembles, the prominence of the tuba and its placement within the group represents a shift in its cultural significance, a stronger connection to the Mexican history and cultural roots, in the Mexican-American music community of southern California. This paper uncovers some of the motives and significance behind these recent changes in the role of the tuba in Mexican-American regional genres as well as the cultural connection that the tuba provides for Mexican-Americans in southern California to traditional Mexican music culture.
Automatic Removal of Complex Shadows From Indoor Videos
Shadows in indoor scenarios are usually characterized with multiple light sources that produce complex shadow patterns of a single object. Without removing shadow, the foreground object tends to be erroneously segmented. The inconsistent hue and intensity of shadows make automatic removal a challenging task. In this thesis, a dynamic thresholding and transfer learning-based method for removing shadows is proposed. The method suppresses light shadows with a dynamically computed threshold and removes dark shadows using an online learning strategy that is built upon a base classifier trained with manually annotated examples and refined with the automatically identified examples in the new videos. Experimental results demonstrate that despite variation of lighting conditions in videos our proposed method is able to adapt to the videos and remove shadows effectively. The sensitivity of shadow detection changes slightly with different confidence levels used in example selection for classifier retraining and high confidence level usually yields better performance with less retraining iterations.
The Impact of Cloud Based Supply Chain Management on Supply Chain Resilience
On March 2011 a destructive 9.0-magnitude earthquake and tsunami along with nuclear explosions struck northeastern Japan; killing thousands of people, halting industry and crippling infrastructure. A large manufacturing company operating outside of Japan received the news in the middle of the night. Within a few hours of the tsunami hitting Japan, this manufacturer’s logistics team ran global materials management reports to communicate the precise status of the products originating from Japan to their entire global network of facilities. With this quick and far reaching communication the manufacturer was able to launch a successful contingency plan. Alternative suppliers, already existing as part of their global network, were evaluated and used to mitigate Japan’s disruptive impact. The resiliency of this manufacturer’s trusted network of supply chain trading partners allowed for minimum disruptions, saving countless money and maintaining continuity for its end-to-end supply chain. This manufacturer was part of a cloud-based supply chain that provided the catalyst to quickly shift its resources to allay the impact of no longer being able to receive product from Japan. Today's supply chains are global and complex networks of enterprises that aim to deliver products in the right quantity, in the right place, and at the right time in an increasingly volatile and unpredictable environment. To cope with internal and external supply chain instability and disruptions, supply chains need to be resilient to survive. A supply chain's ability to collaboratively share information with its supply chain partners is one of the most important factors that enhance a supply chain’s resilience. Cloud based supply chain management (SCM) creates a platform that enables collaborative information sharing that helps to identify, monitor and reduce supply chain risks, vulnerabilities and disruptions. However, supply chain academics and practitioners are at its infancy in understanding the capabilities of cloud based supply chains and …
Taking It to the Streets: the History of Gay Pride Parades in Dallas, Texas: 1972-1986
This thesis describes the organization of two waves of pride parades in the city of Dallas, Texas. Using more than 40 sources, this work details how LGBT organizers have used pride parades to create a more established place for the LGBT community in greater Dallas culture. This works adds to the study of LGBT history by focusing on an understudied region, the South; as well as focusing on an important symbolic event in LGBT communities, pride parades.
Complex Numbers in Quantum Theory
In 1927, Nobel prize winning physicist, E. Schrodinger, in correspondence with Ehrenfest, wrote the following about the new theory: “What is unpleasant here, and indeed directly to be objected to, is the use of complex numbers. Psi is surely fundamentally a real function.” This seemingly simple issue remains unexplained almost ninety years later. In this dissertation I elucidate the physical and theoretical origins of the complex requirement. I identify a freedom/constraint situation encountered by vectors when, employed in accordance with adopted quantum representational methodology, and representing angular momentum states in particular. Complex vectors, quite simply, provide more available adjustable variables than do real vectors. The additional variables relax the constraint situation allowing the theory’s representational program to carry through. This complex number issue, which lies at the deepest foundations of the theory, has implications for important issues located higher in the theory. For example, any unification of the classical and quantum accounts of the settled order of nature, will rest squarely on our ability to account for the introduction of the imaginary unit.
Exploring the Integration of Thai Traditional Music in Chakra by Narong Prangchareon, with a Conductor’s Guide
This dissertation explores the integration of Thai traditional music in Chakra, for wind band, by Narong Prangchareon. Nipat Kanchanahud explores how Narong, inspired by Eastern philosophy, integrates elements of Thai traditional music and the types, styles, scales, and dialects of Thai culture with the formal elements of Western music and the instrumentation of the Western wind band. Chakra uniquely spans Eastern and Western cultures, creating a new musical language for both worlds to appreciate and enjoy. Further, the composition richly demonstrates the viability of the wind band as an international medium. The orchestration of Chakra reveals Narong’s musical lineage from Edgard Varèse through Chen Yi. A conductor’s guide, included with this dissertation, is designed to aid and encourage performances of Chakra throughout the world.
A Preliminary Controller Design for Drone Carried Directional Communication System
In this thesis, we conduct a preliminary study on the controller design for directional antenna devices carried by drones. The goal of the control system is to ensure the best alignment between two directional antennas so as to enhance the performance of air-to-air communication between the drones. The control system at the current stage relies on the information received from GPS devices. The control system includes two loops: velocity loop and position loop to suppress wind disturbances and to assure the alignment of two directional antennae. The simulation and animation of directional antennae alignment control for two-randomly moving drones was developed using SIMULINK. To facilitate RSSI-based antenna alignment control to be conducted in the future work, a study on initial scanning techniques is also included at the end of this thesis.
Exploring Teachers’ Constructivist Beliefs Using Talis 2013: Approaches to Training and Development
The changing landscape of demographics, technology, and diversity in the learning environment is challenging schools around the world to rethink their approaches to the implementation of high-quality teaching practices. Classroom practices are becoming more complex because educators have to ensure that their students are well-equipped with 21st century skills (e.g., Darling-Hammond, 2010; Dede, 2010; Griffin, McGaw, & Care, 2012). Educators, curriculum developers, and school administrators need to be more than experts in pedagogy. They are now required to keep up with current ideas, innovative instructional practices, and the results of a variety of educational reform efforts. Believing that teachers’ beliefs are the most important psychological construct with regard to instructional practices (Pajares, 1992) and that teachers’ beliefs are related to their choice of classroom practices and, ultimately, the students’ performance (Bybee, Taylor, Gardner, Van Scotter, Powell, Westbrook, & Landes, 2006; Staub & Stern, 2002), the author of this study utilizes the international data set of the Teaching and Learning International Study (TALIS) 2013 to examine the associations between teachers’ constructivist beliefs, their self-efficacy beliefs, professional activities, and the school principals’ instructional leadership as related to lower secondary school teachers and principals in South Korea, Finland, and Mexico. These three countries represent the high and low performers in the global index of cognitive skills and educational attainment (Pearson, 2014). An account of their educational practices will provide some insights for stakeholders in school systems across nations. Nevertheless, it is important to understand that each country has unique teaching and learning conditions, and that conclusions reached in relation to such conditions do not apply across nations. A series of hierarchical linear modeling (HLM) studies were performed for the present work to provide evidence-based information with practical implications to school administrators and educational policymakers regarding the development and implementation of leadership programs and …
Music for the Saxophone Duet Genre: an Annotated Bibliography of Selected Original Music
In 1861, Jerôme Savari (1819-1870) composed Duo for Soprano Saxophone and Alto Saxophone. Since then, more than 400 duets were written, yet many musicians are not aware of this repertoire. The lack of recommended repertoire and insufficient information regarding this genre reduces the use of the saxophone duet in both pedagogical and concert settings. The purpose of this study is to examine the importance of the saxophone duet genre by identifying the standard repertoire and creating an annotated bibliography. Twenty-three composers with twenty-six selected works have been identified and will be annotated. All selected works in this document are (1) composed for any two members of the saxophone family; (2) originally composed for saxophone duet (i.e., no transcriptions will be included); (3) published either by companies or by the composers themselves; and, (4) composed between the nineteenth-century through present day. This annotated bibliography of selected repertoire contains two sections: (1) repertoire for performance; and, (2) repertoire for pedagogy. It is the intent of this project that the annotation for each piece could assist performers, teachers and students with their search of currently published works for this genre. The descriptive information in each annotation regarding the composition and its performance considerations should provide further details in order to assist in the program decision-making process.
The Use of Faunal Remains for Identifying Shifts in Pit Structure Function in the Mesa Verde Region: a Case Study From Goodman Point
The archaeofaunal remains left by the Ancestral Puebloan people of Goodman Point Unit provides a valuable, yet underutilized resource into pit structure function. This thesis explores temporal changes in pit structure use and evaluates if a final feast occurred during a kiva decommissioning. The results from zooarchaeological analyses of a pithouse and two great kivas suggest that changes in pit structures at Goodman Point mimic the regional trend toward specialization until late Pueblo III. Cross-cultural studies on feasts, southwest ethnographies and previous zooarchaeological work established methods for identifying a feast. The analysis of differences in faunal remains from a great kiva and multiple room block middens imply that the remains in the kiva were from a final feast prior to a decommissioning ceremony and were not fill. Spatially and temporally the great kiva appears to be a unique, specialized structure in the cultural development of the Goodman Point community.
Elementary Pre-service Teachers’ Perceptions and Experiences of Mathematics Intervention and Response to Intervention Practices
Response to intervention has become a widely implemented early intervention and pre-referral program in many schools due to the reauthorization of the 2004 Individuals with Disabilities Education Act. Limited studies exist that validate how teacher preparation programs are preparing the next generation of teachers to assess students, apply early academic interventions, monitor progress, and make educational decisions for students with learning difficulties as part of an RTI program. The purpose of this study was to examine elementary pre-service teachers’ perceptions and experiences in a mathematics intervention project (MIP), as part of a university mathematics methods course as related to RTI practices. Data were collected from multiple sources, including: Seidman’s three-step interview series with pre-service participants and course instructors, document analysis of the Mathematics Interactions Project (MIP) students’ responses, mathematics methods course syllabi, and observations of the mathematics methods course instruction. Haskell’s transfer theory was used as the framework from which to analyze the data. It was assumed that if a majority of the 11 principles of meaningful transfer were addressed, higher levels of transfer from university instruction to intervention instruction would be observed during the MIP. Findings indicate differences in RTI understanding according to elementary education degree plan. Candidates in the English as a Second Language (ESL) program did not demonstrate a strong foundational understanding of RTI, evidenced by a lower level of transfer about RTI. Alternately, pre-service teachers in the special education degree plan had a stronger foundational knowledge of RTI, discussed how RTI learning was supported, and had more experiences to implement RTI (principles 1, 7, and 9). Pre-service teachers in the Special Education (SPED) certification degree plan demonstrated a higher level of transfer since more of the principles were met; this was foundational in Haskell’s transfer theory. Implications are that elementary education programs, and particularly projects such …
Expanding the Notion of Campus Climate: the Effect of Religion and Spirituality on the Perception of Campus Climate
Religion/spirituality is a salient facet of identity for many college students, yet addressing issues related to spirituality/religion is contentious in many higher education institutions. Prior research has shown that various other facets of identity, including race/ethnicity, gender, and sexual orientation, affect a student’s perception of campus climate, but religious/spiritual identity has not been examined in the same manner. Using confirmatory factor analysis and structural equation modeling, this study empirically tests the addition of religion/spirituality to the campus climate theory developed by Hurtado et al. (1999). Data came from the 2010 College Senior Survey administered by the Higher Education Research Institute at the University of California, Los Angeles. Results indicate that religious and spiritual identity have significant direct effects on the perception and other aspects of campus climate. Future research is needed to extend the understanding between religious and spiritual identity and the perception of campus climate.
Algorithm Optimizations in Genomic Analysis Using Entropic Dissection
In recent years, the collection of genomic data has skyrocketed and databases of genomic data are growing at a faster rate than ever before. Although many computational methods have been developed to interpret these data, they tend to struggle to process the ever increasing file sizes that are being produced and fail to take advantage of the advances in multi-core processors by using parallel processing. In some instances, loss of accuracy has been a necessary trade off to allow faster computation of the data. This thesis discusses one such algorithm that has been developed and how changes were made to allow larger input file sizes and reduce the time required to achieve a result without sacrificing accuracy. An information entropy based algorithm was used as a basis to demonstrate these techniques. The algorithm dissects the distinctive patterns underlying genomic data efficiently requiring no a priori knowledge, and thus is applicable in a variety of biological research applications. This research describes how parallel processing and object-oriented programming techniques were used to process larger files in less time and achieve a more accurate result from the algorithm. Through object oriented techniques, the maximum allowable input file size was significantly increased from 200 mb to 2000 mb. Using parallel processing techniques allowed the program to finish processing data in less than half the time of the sequential version. The accuracy of the algorithm was improved by reducing data loss throughout the algorithm. Finally, adding user-friendly options enabled the program to use requests more effectively and further customize the logic used within the algorithm.
Dynamics of Stream Fish Metacommunities in Response to Drought and Re-connectivity
This dissertation investigates the spatio-temporal dynamics of intermittent stream fish metacommunities in response drought-induced fragmentation and re-connectivity using both field and experimental approaches. A detailed field study was conducted in two streams and included pre-drought, drought, and post-drought hydrological periods. Fish assemblages and metacommunity structure responded strongly to changes in hydrological conditions with dramatic declines in species richness and abundance during prolonged drought. Return of stream flows resulted in a trend toward recovery but ultimately assemblages failed to fully recover. Differential mortality, dispersal, recruitment among species indicates species specific responses to hydrologic fragmentation, connectivity, and habitat refugia. Two manipulative experiments tested the effects of drought conditions on realistic fish assemblages. Fishes responded strongly to drought conditions in which deeper pools acted as refugia, harboring greater numbers of fish. Variability in assemblage structure and movement patterns among stream pools indicated species specific habitat preferences in response predation, resource competition, and desiccation. Connecting stream flows mediated the impacts of drought conditions and metacommunity dynamics in both experiments. Results from field and experimental studies indicate that stream fish metacommunities are influenced by changes in hydrological conditions and that the timing, duration, and magnitude of drought-induced fragmentation and reconnecting stream flows have important consequences metacommunity dynamics.
Archaeological Site Vulnerability Modeling for Cultural Resources Management Based on Historic Aerial Photogrammetry and LiDAR
GIS has been utilized in cultural resources management for decades, yet its application has been largely isolated to predicting the occurrence of archaeological sites. Federal and State agencies are required to protect archaeological sites that are discovered on their lands, but their resources and personnel are very limited. A new methodology is evaluated that uses modern light detection and ranging (LiDAR) and historic aerial photogrammetry to create digital terrain models (DTMs) capable of identifying sites that are most at risk of damage from changes in terrain. Results revealed that photogrammetric modeling of historic aerial imagery, with limitations, can be a useful decision making tool for cultural resources managers to prioritize conservation and monitoring efforts. An attempt to identify key environmental factors that would be indicative of future topographic changes did not reveal conclusive results. However, the methodology proposed has the potential to add an affordable temporal dimension to future digital terrain modeling and land management. Furthermore, the methods have global applicability because they can be utilized in any region with an arid environment.
Sexual Identity Development: Findings From an Exploratory Grounded Theory Study
Counselors and other mental health professionals lack training on healthy sexuality and sexual identity development (SID). To begin to construct a comprehensive model of SID that can be used in counseling and counselor education, I conducted an exploratory study utilizing a grounded theory approach to collect and analyze SID stories from a purposive sample of eight adults from the Dallas-Fort Worth, Texas area: four male and four female; seven White Caucasian-American and one Asian American; and self-identified as two gay, one lesbian, three heterosexual, and two sexually fluid. Participants elucidated a process model of the sexual-self that incorporated biological, psychological, social, cultural, and spiritual factors. Emergent themes included discovering, distinguishing, placing boundaries around, differentiating, and integrating the sexual-self. This preliminary model advanced a more holistic understanding of SID that counselors and other mental health professionals, educators, and researchers may find useful within their respective disciplines.
Testing the Psychometric Properties of the Online Student Connectedness Survey
The Online Student Connectedness Survey (OSCS) was introduced to the academic community in 2012 as an instrument designed to measure feelings of connectedness between students participating in online degree and certification programs. The purpose of this study was to examine data from the instrument for initial evidence of validity and reliability and to establish a nomological network between the OSCS and similar instruments utilized in the field. The study utilized sequential exploratory factor analysis- confirmatory factor analysis (EFA-CFA) and correlational analysis to assess results of the data. Students enrolled in online courses at higher education institutions located in the United States served as the sample for this study. Three instruments were used during the study. The OSCS was administered first so that the factor structure could be examined for factor validity. Once confirmed, the Classroom Community Scale (CCS) and the Community of Inquiry Scale (COI) served as the instruments to examine nomological validity through correlational analysis of data.This study provided evidence of factor validity and reliability for data from the OSCS. After the initial EFA-CFA, the four-factor structure held, and 16 of the 25 original items remained for nomological testing. Statistically significant correlations were demonstrated between factors contained in the OSCS, CCS, and COI, providing further evidence of construct validity. These results indicate that for the sample used in this study, the OSCS provides data that are valid and reliable for assessing feelings of connection between participants in online courses at institutions of higher learning.
An Initial Validation of the Virtual Reality Stroop Task (VRST) in a Sample of OEF/OIF Veterans
Currently, neuropsychologists rely on assessment instruments rooted in century old theory and technology to make evaluations of military personnel’s readiness to return-to-duty or return to their community. The present study sought to explore an alternative by evaluating the validity of a neuropsychological assessment presented within a virtual reality platform. The integration of a neuropsychological assessment into a cognitively and emotionally demanding virtual environment – reminiscent of a combat experience in Iraq – offers a more ecologically valid manner in which to evaluate the cognitive skills required in theater. U.S. military veterans’ (N = 50) performance on the Virtual Reality Stroop Task (VRST) was compared with performance on a paper-and-pencil, a computer adapted version of the Stroop task, and the subtests included in the Automated Neuropsychological Assessment Metrics-4 (ANAM4) TBI-MIL test battery. Results supported the validity of the VRST, indicating it demonstrates the typical Stroop effect pattern. The emotional salience of the VRST resulted in slowed reaction time compared to the ANAM Stroop. Further, the complex interference condition of the VRST offers opportunities for evaluation of exogenous and endogenous attentional processing. In the evaluation of threat, participants were noted to perform more accurately and more quickly in low threat versus high threat zones. Ancillary inquiries found no clinically meaningful findings regarding the role of deployment or post-concussive symptoms, and mixed findings regarding the effect of posttraumatic stress symptoms on neuropsychological performance among the three tested modalities.
Other Identities As Assumed: Job Descriptions Among Classified Employees in a Public School System
The aim of this thesis is to investigate the current status of job descriptions at a Public School System, in [City], [State], USA, and to make recommendations for improvement in terms of job description content, format, and the creation and updated processes. This work covers job descriptions among classified employees and does not cover job descriptions for instructional staff (teachers, principals, etc.) or Executive Administrative Staff. The work begins by introducing the reader to the client and the current status of the client's job descriptions. The demographics of the subject population are discussed as well as the research methodologies. Findings are presented in light of research data and analyzed using Social Identity Theory, as well as business leadership principals. Finally deliverables are provided and recommendations are made. The thesis argues that application of Social Identity Theory and business leadership principals will support the ongoing job description processes by engaging employees in the process with supervisors leading the process
Integrity Verification of Applications on RADIUM Architecture
Trusted Computing capability has become ubiquitous these days, and it is being widely deployed into consumer devices as well as enterprise platforms. As the number of threats is increasing at an exponential rate, it is becoming a daunting task to secure the systems against them. In this context, the software integrity measurement at runtime with the support of trusted platforms can be a better security strategy. Trusted Computing devices like TPM secure the evidence of a breach or an attack. These devices remain tamper proof if the hardware platform is physically secured. This type of trusted security is crucial for forensic analysis in the aftermath of a breach. The advantages of trusted platforms can be further leveraged if they can be used wisely. RADIUM (Race-free on-demand Integrity Measurement Architecture) is one such architecture, which is built on the strength of TPM. RADIUM provides an asynchronous root of trust to overcome the TOC condition of DRTM. Even though the underlying architecture is trusted, attacks can still compromise applications during runtime by exploiting their vulnerabilities. I propose an application-level integrity measurement solution that fits into RADIUM, to expand the trusted computing capability to the application layer. This is based on the concept of program invariants that can be used to learn the correct behavior of an application. I used Daikon, a tool to obtain dynamic likely invariants, and developed a method of observing these properties at runtime to verify the integrity. The integrity measurement component was implemented as a Python module on top of Volatility, a virtual machine introspection tool. My approach is a first step towards integrity attestation, using hypervisor-based introspection on RADIUM and a proof of concept of application-level measurement capability.
Electrochemical Synthesis and Applications of Layered Double Hydroxides and Derivatives
Layered double hydroxides (LDH) are a class of anionic clay with alternating layers of positive and negative charge. A metal hydroxide layer with divalent and trivalent metals with a positive charge is complemented by an interlayer region containing anions and water with a negative charge. The anions can be exchanged under favorable conditions. Hydrotalcite (Mg6Al2(OH)16[CO3]·4H2O) and other variations are naturally occurring minerals. Synthetic LDH can be prepared as a powder or film by numerous methods. Synthetic LDH is used in electrode materials, adsorbents, nuclear waste treatment, drug delivery systems, water treatment, corrosion protection coatings, and catalysis. In this dissertation Zn-Al-NO3 derivatives of zaccagnaite (Zn4Al2(OH)12[CO3]·3H2O) are electrochemically synthesized as films and applied to sensing and corrosion resistance applications. First, Zn-Al-NO3 LDH was potentiostatically electrosynthesized on glassy carbon substrates and applied to the electrochemical detection of gallic acid and caffeic acid in aqueous solutions. The modified electrode was then applied to the detection of gallic acid in green tea samples. The focus of the work shifts to corrosion protection of stainless steel. Modified zaccagnaite films were electrodeposited onto stainless steel in multiples layers to reduce defects caused by drying of the films. The films were deposited using a step potential method. The corrosion resistance of the films in a marine environment was investigated while immersed in 3.5 wt.% NaCl environments. Next modified zaccagnaite films were potentiostatically electrodeposited onto stainless steel followed by a hydrophobization reaction with palmitic acid in order to prepare superhydrophobic (>150° contact angle) surfaces. Each parameter of the film synthesis was optimized to produce a surface with the highest possible contact angle. The fifth chapter examines the corrosion resistance of the optimized superhydrophobic film and a hydrophobic film. The hydrophobic film is prepared using the same procedure as the superhydrophobic film except for a difference in electrodeposition potential. The …
The Role of Values in Psychotherapy Process and Outcome
Given the importance of client characteristics and preferences, and therapist expertise to evidence-based practice in psychology, the current study sought to contribute to the literature concerning the role of values in psychotherapy. Personal values of clients and trainee therapists in 29 dyads were examined for relationships between client and therapist values and associations with working alliance and outcomes. Although previous literature in this area has suggested that successful therapy is characterized by an increase in similarity of client and therapist values, the current study did not replicate this finding. However, client perceptions of therapist values were found to be important to working alliance and outcome. Findings are discussed in terms of suggestions for future research as well as implications for clinical practice, including the importance of discussing expectations and preferences with clients.
Organizational Competency Through Information: Business Intelligence and Analytics as a Tool for Process Dynamization
The data produced and collected by organizations represents both challenges and opportunities for the modern firm. Business intelligence and analytics (BI&A) comprises a wide variety of information management technologies and information seeking activities designed to exploit these information resources. As a result, BI&A has been heralded as a source of improved organizational outcomes in both the academic and practitioner literature, and these technologies are among the largest continuous IT expenditures made over the last decade.Despite the interest in BI&A, there is not enough theorizing about its role in improving firm performance. Scholarly investigations of the link between BI&A and organizational benefits are scarce and primarily exploratory in nature. Further, the majority of the extant research on BI&A is techno-centric, conceptualizing BI&A primarily an organizational technical asset. This study seeks to explicate the relationship between BI&A and improved organizational outcomes by viewing this phenomenon through the lens of dynamic capabilities, a promising theoretical perspective from the strategic management discipline. In so doing, this research reframes BI&A as an organizational capability, rather than simply a technical resource. Guided by a comprehensive review of the BI&A and dynamic capabilities literature, as well as a series of semi-structured focus groups with senior-level business practitioners with BI&A experience, this study develops and tests a model of BI&A enabled firm performance. Using a snowball sample, an online survey was administered to 137 business professionals in 24 industries. The data were analyzed using partial least squares (PLS) structural equation modeling (SEM). The findings support the contention that BI&A serve as the sensing and seizing components of an organizational dynamic capability, while transformation is achieved through business process change capability. These factors influence firm financial performance through their impact on the functional performance of the firm’s business processes. Further, this study demonstrates that traditional BI&A success factors are …
Restricting Invariants and Arrangements of Finite Complex Reflection Groups
Suppose that G is a finite, unitary reflection group acting on a complex vector space V and X is a subspace of V. Define N to be the setwise stabilizer of X in G, Z to be the pointwise stabilizer, and C=N/Z. Then restriction defines a homomorphism from the algebra of G-invariant polynomial functions on V to the algebra of C-invariant functions on X. In my thesis, I extend earlier work by Douglass and Röhrle for Coxeter groups to the case where G is a complex reflection group of type G(r,p,n) in the notation of Shephard and Todd and X is in the lattice of the reflection arrangement of G. The main result characterizes when the restriction mapping is surjective in terms of the exponents of G and C and their reflection arrangements.
Understanding 3-D Spaces Through Game-based Learning: a Case Study of Knowledge Acquisition Through Problem-based Learning in Minecraft
The primary purpose in this case study was to explore the use of three-dimensional virtual spaces via the use of the game Minecraft as a teaching tool. The case study examined the effectiveness, self-efficacy, and social interaction of students when using such a tool in the teaching and learning process. The research analyzed knowledge acquisition through various deliverables such as benchmark pre and post exams, student discourse, and tangible objects created from the lessons by the students. Students were enrolled and participated in a summer camp offered from Arts and Technology Institute in North Texas. The camp utilized Minecraft to teach architecture types. Students learned about pyramids (Egyptian and Aztec), Roman/Greek architecture, Gothic architecture, and Post-Modern Architecture. Each day students were exposed to a different them of architecture and were tasked with building a world that was in the theme of an assigned type of architecture. Fifty-nine school age students ranging in ages from eight to twelve years old participated fully in the study. The students were not grouped by age, but instead self-selected partners with which to work during the course of their creations. Results show that students who participated in the Minecraft driven course were highly engaged and reported a positive experience during the course of learning. Participants worked cohesively to achieve common goals and problem solve during the course of project completion. Participants freely participated in discourse that was on the topic of the lesson, as well as, offered suggestions for improvement and solicited ideas from other participants. Pre and posttest results yielded an improvement in knowledge acquisition regarding general knowledge of architecture types. Many students frequently used the word “Fun” to describe their learning experience as cited in their daily blog entries. The research strived to show that using Minecraft as a teaching tool can create …
Determination of Solute Descriptors for Illicit Drugs Using Gas Chromatographic Retention Data and Abraham Solvation Model
In this experiment, more than one hundred volatile organic compounds were analyzed with the gas chromatograph. Six capillary columns ZB wax plus, ZB 35, TR1MS, TR5, TG5MS and TG1301MS with different polarities have been used for separation of compounds and illicit drugs. The Abraham solvation model has five solute descriptors. The solute descriptors are E, S, A, B, L (or V). Based on the six stationary phases, six equations were constructed as a training set for each of the six columns. The six equations served to calculate the solute descriptors for a set of illicit drugs. Drugs studied are nicotine (S= 0.870, A= 0.000, B= 1.073), oxycodone(S= 2.564. A= 0.286, B= 1.706), methamphetamine (S= 0.297, A= 1.570, B= 1.009), heroin (S=2.224, A= 0.000, B= 2.136) and ketamine (S= 1.005, A= 0.000, B= 1.126). The solute property of Abraham solvation model is represented as a logarithm of retention time, thus the logarithm of experimental and calculated retention times is compared.
The Impact of Kinder Training on Early Elementary School Children’s On-task Behavior: a Single Case Design
Teachers appear to feel challenged by children’s off-task behavior in the classroom. Children’s off-task behavior can result in reduced academic engagement, increased teaching stress, and strained teacher-child relationships. The purpose of this study was to investigate the impact of kinder training on young children’s on-task behavior in the classroom. This study utilized an experimental single-case methodology and a multiple baseline across subjects design. Three elementary school teachers conducted weekly individual play sessions with students they identified as frequently exhibiting off-task behavior. The three children ranged in age from five to six years: two males and one female, two Caucasian non-Hispanic and one biracial. Two trained observers repeatedly assessed the child participants’ on-task behavior using the Direct Observation Form throughout the baseline and intervention phases. The findings provide support for kinder training as an effective play-based professional development-training model that can improve children’s on-task behavior. Results demonstrated that all child participants showed improvement in on-task classroom behavior. Visual analysis revealed that all child participants demonstrated a positive change in on-task behavior during the intervention phase. All teacher participants reported observing improvement in the child participants’ on-task behavior and teacher-child relationships. Teachers’ post-intervention reports supported the notion of reciprocal interactions among teacher-child relationships, understanding of children’s lifestyle and goals of misbehavior, and children’s on-task behavior.
A Canonical Correlational Analysis Exploring Characteristics of Children Presenting to Counseling for Grief and Loss
To date, researchers who have explored the complexity of childhood bereavement have utilized unstandardized assessment instruments and/or have independently evaluated specific constructs rather than factoring in the dimensionality of loss. The purpose of this study was to use parents' completion of established instruments--the Child Behavior Checklist and the Parenting Stress Index--to examine the multivariate shared relationship between characteristics of bereaved children referred for counseling--their ages, genders, ethnicities, types of loss, and life stressors--and their behavioral manifestations as well as the relationship between these characteristics and levels of parent-child relational stress. Utilizing archival clinical files, I examined these characteristics from bereaved children (N = 98) whose parents sought counseling services from two university-based counseling clinics. The sample consisted of 67 boys and 31 girls between the ages 3 and 11 years old (M = 6.28). The majority of participants (67%, n = 66) identified as Caucasian, 10% (n = 10) as African American, 10% (n = 10) as Hispanic/Latino, 6% as Bi-racial (n = 6), 4% as Native American (n = 4), and 2% as Asian (n = 2). A canonical correlational analyses (CCA) was conducted to examine relationship between characteristics of children and their subsequent behavioral manifestations. The full model was found to be statistically significant using the Wilks’s λ = .611 criterion, F(25, 328.41) = 1.862, p = .008. The R2 type effect size was .389, which indicates the full model explains about 39% of the variance shared between the two variable sets. A second CCA was conducted to explore the relationship between characteristics of bereaved children and levels of parent-child relational stress. The full model was found statistically to be significant using the Wilks’s λ = .790 criterion, F(10, 154) = 1.926, p = .045. The R2 type effect size was .210, which indicates the full model explains …
Efficiency of Nitrate and Phosphorus Removal in a Working Rain Garden
Rain gardens are low impact developments designed to mitigate a suite of issues associated with urban stormwater runoff. The site for this study was a Denton City rain garden at the Denton Waste Water Treatment Plant. Nitrogen and phosphorus removal was examined in light of two overflow events comprised of partially treated wastewater from an upslope anaerobic digester pond. Nitrate removal efficiency was examined across differing dry spell intervals of 5, 8, and 12 d, displaying a moderate negative correlation (r2 = 0.59). Continued phosphorus removal capacity was assessed, showing phosphorus removal in cases where P was in excess of 0.8 mg/L, reflecting an equilibrium phosphorus concentration. A high expanded shale component in the soil media (25%) was likely a factor in the continued removal of phosphorus. Overall the rain garden proved to be a large source of nitrate (+425%) and total nitrogen (+61%) by mass. The study showed that while the rain garden intercepted a large volume of partially treated wastewater during the overflow events, preventing it from reaching a nearby creek, the mitigation of an acute event has extended to a chronic one as nitrogen is gradually processed and flushed from the system as nitrate.
Molecules and Materials for Excitonic Solar Cells Using P-type Metal Oxide Semiconductors
This dissertation has two intersecting foci; firstly, the discovery of a new methodology for the growth of high surface area cuprous oxide (Cu2O) substrates. Secondly, the synthesis and characterization of electron-accepting molecules, and their incorporation into excitonic solar cells (XSCs) using the Cu2O substrates as electrodes. Increasing the surface area of the semiconductor creates more locations for charge transfer to occur thus increasing the overall efficiency of the device. Zinc oxide (ZnO) has been widely studied, and can be easily grown into many different films with high surface area morphologies. The ZnO films serve as sacrificial templates that allow us to electrochemically grow new semiconductors with the same high surface area morphologies but composed of a material having more desirable electronic properties. A polymer can be applied over the surface of the ZnO nanorod films before etching the ZnO with a weak acid, thereby leaving a polymer nanopore membrane. Cathodic electrodeposition of Cu2O into the membrane nanopores gives Cu2O nanorods. Electron-accepting dyes are designed with tethers that allow for direct attachment to metal oxide semiconductors. After soaking, the semiconductor is coated with a monolayer of a dye and then the coated semiconductor films were made into various dye-sensitized solar cells (DSCs). These cells were studied to determine the electron transport properties at the semiconductor/sensitizer/electrolyte interface.
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