This study explored participants' experiences of being interviewed with the Adult Attachment Interview as a means of supporting counselor self-awareness and fostering effective counselor-client working alliances. A sample of first-year counselor education doctoral students (n = 7) completed an AAI interview and feedback session. Participants completed five reflective journals over three weeks and explored their experiences in individual, semi-structured interviews. Data were analyzed according to interpretative phenomenological analysis protocol. Four superordinate themes emerged from the analysis: (a) reactions to the AAI interview process, (b) process with AAI feedback, (c) AAI and intrapersonal process, and (d) AAI and interpersonal process. Additionally, there were eight subordinate themes: (a) surprised by AAI interview process, (b) interview process sparked reflection, (c) initial reaction to AAI feedback, (d) evolving process of integrating AAI feedback, (e) AAI process increased awareness, (f) increased self-awareness increased self-efficacy, (g) awareness from AAI process prompted relational shifts, (h) impact of AAI on clinical work, (i) importance of relationships, (j) importance of self-awareness, and (k) mutual influence of personal and professional. Findings in this study suggest that the AAI is an effective tool in supporting counselor self-awareness regarding attachment strategies. Additionally, findings suggest multiple personal and professional benefits, such as increased …

This dissertation analyzes several topics related to political life in ethnically divided societies. In chapter 2, I study the relationship between ethnic social conflict, such as protests, riots, and armed inter-ethnic violence, and bloc partisan identification. I find that protests have no effect on bloc support for political parties, riots increase bloc partisan identification, and that armed violence reduces this phenomenon. In chapter 3, I analyze the factors that influence the targeting of ethnic groups by ethnic parties in social conflict. I find some empirical evidence that conditions favorable to vote pooling across ethnic lines reduce group targeting by ethnic parties. In chapter 4, I analyze the effects of ethnic demography on ethnic party behavior. Through a qualitative analysis of party behavior in local elections in Macedonia, I find that ethnic parties change their strategies in response to changes in ethnic demography. I find that co-ethnic parties are less likely to challenge each other for power under conditions of split demography. In fact, under conditions of split demography, I find that co-ethnic parties have political incentives to unite behind a single party because intra-group competition jeopardizes the group's hold on power.

Crystallographic complex reflection groups are generated by reflections about affine hyperplanes in complex space and stabilize a full rank lattice. These analogs of affine Weyl groups have infinite order and were classified by V.L. Popov in 1982. The classical Braid theorem (first established by E. Artin and E. Brieskorn) asserts that the Artin group of a reflection group (finite or affine Weyl) gives the fundamental group of regular orbits. In other words, the fundamental group of the space with reflecting hyperplanes removed has a presentation mimicking that of the Coxeter presentation; one need only remove relations giving generators finite order. N.V Dung used a semi-cell construction to prove the Braid theorem for affine Weyl groups. Malle conjectured that the Braid theorem holds for all crystallographic complex reflection groups after constructing Coxeter-like reflection presentations. We show how to extend Dung's ideas to crystallographic complex reflection groups and then extend the Braid theorem to some groups in the infinite family [G(r,p,n)]. The proof requires a new classification of crystallographic groups in the infinite family that fail the Steinberg theorem.

Significant growth in the number of English language learners (ELLs) in U.S. schools is anticipated to continue, demanding that educators and evaluators have the skills necessary to distinguishing language difference from disability and provide appropriate services to these students. However, little research exists examining the role of evaluator's cultural competence in evaluating ELLs for special education; furthermore, what does exist shows that many evaluators report low levels of self-efficacy as it relates to assessing ELLs. The first chapter of the dissertation reports on a review of 21 articles conducted to address best practices for evaluating culturally and linguistically diverse (CLD) learners, evaluator self-efficacy, and recommendations for conducting culturally competent assessments and evaluations. The majority of the articles identified in this review focused on recommendations for best practices for conducting evaluations rather than reporting empirical findings related to the topic. Only one study was identified that focused on appropriate training needed by evaluation staff to effectively discriminate between language difference and a disability. Based on the findings of this review, additional research, using a rigorous methodology is needed. Addressing that need, the second chapter reports the results of a study conducted to examine the effectiveness of Project PEAC3E (Preparing Evaluators to …

Portable mass spectrometers provide a unique opportunity to obtain in situ measurements. This minimizes need for sample collection or in laboratory analysis. Membrane Inlet Mass Spectrometry (MIMS) utilizing a semi permeable membrane for selective rapid introduction for analysis. Polydimethylsiloxane membranes have been proven to be robust in selecting for aromatic chemistries. Advances in front end design have allowed for increased sensitivity, rapid sample analysis, and on line measurements. Applications of the membrane inlet technique have been applied to environmental detection of clandestine drug chemistries and pollutants. Emplacement of a mass spectrometer unit in a vehicle has allowed for large areas to be mapped, obtaining a rapid snapshot of the various concentrations and types of environmental pollutants present. Further refinements and miniaturization have allowed for a backpackable system for analysis in remote harsh environments. Inclusion of atmospheric dispersion modeling has yielded an analytical method of approximating upwind source locations, which has law enforcement, military, and environmental applications. The atmospheric dispersion theories have further been applied to an earth based separation, whereby chemical properties are used to approximate atmospheric mobility, and chemistries are further identified has a portable mass spectrometer is traversed closer to a point source.

A nuclear microprobe, typically consisting of 2 - 4 quadrupole magnetic lenses and apertures serving as objective and a collimating divergence slits, focuses MeV ions to approximately 1 x 1 μm for modification and analysis of materials. Although far less utilized, electrostatic quadrupole fields similarly afford strong focusing of ions and have the added benefit of doing so independent of ion mass. Instead, electrostatic quadrupole focusing exhibits energy dependence on focusing ions. A heavy ion microprobe could extend the spatial resolution of conventional microprobe techniques to masses untenable by quadrupole magnetic fields. An electrostatic quadrupole doublet focusing system has been designed and constructed using several non-conventional methods and materials for a wide range of microprobe applications. The system was modeled using the software package "Propagate Rays and Aberrations by Matrices" which quantifies system specific parameters such as demagnification and intrinsic aberrations. Direct experimental verification was obtained for several of the parameters associated with the system. Details of the project and with specific applications of the system are presented.

Electrically conductive fabrics are one of the major components of smart textile that attracts a lot of attention by the energy, medical, sports and military industry. The principal contributors to the conductivity of the smart textiles are the intrinsic properties of the fiber, functionalization by the addition of conductive particles and the architecture of fibers. In this study, intrinsic properties of non-woven carbon fabric derived from a novel linear lignin, poly-(caffeyl alcohol) (PCFA) discovered in the seeds of the vanilla orchid (Vanilla planifolia) was investigated. In contrast to all known lignins which comprise of polyaromatic networks, the PCFA lignin is a linear polymer. The non-woven fabric was prepared using electrospinning technique, which follows by stabilization and carbonization steps. Results from Raman spectroscopy indicate higher graphitic structure for PCFA carbon as compared to the Kraft lignin, as seen from G/D ratios of 1.92 vs 1.15 which was supported by a high percentage of graphitic (C-C) bond observed from X-ray photoelectron spectroscopy (XPS). Moreover, from the XRD and TEM a larger crystal size (Lc=12.2 nm) for the PCFA fiber was obtained which correlates to the higher modulus and conductivity of the fiber. These plant-sourced carbon fabrics have a valuable impact on zero …

We are facing an energy crisis because of the limitation of the fossil fuel and the pollution caused by burning it. Clean energy technologies, such as fuel cells and metal-air batteries, are studied extensively because of this high efficiency and less pollution. Oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) are essential in the process of energy storage and conversion, and noble metals (e.g. Pt) are needed to catalyze the critical chemical reactions in these devices. Functionalized carbon nanomaterials such as heteroatom-doped and molecule-adsorbed graphene can be used as metal-free catalysts to replace the expensive and scarce platinum-based catalysts for the energy storage and conversion. Traditionally, experimental studies on the catalytic performance of carbon nanomaterials have been conducted extensively, however, there is a lack of computational studies to guide the experiments for rapid search for the best catalysts. In addition, theoretical mechanism and the rational design principle towards ORR and OER also need to be fully understood. In this dissertation, density functional theory calculations are performed to calculate the thermodynamic and electrochemical properties of heteroatom-doped graphene and molecule-adsorbed graphene for ORR and OER. Gibb's free energy, overpotential, charge transfer and edge effect are evaluated. The charge transfer analysis show …

Groundbreaking progress in molecule-based optoelectronic devices for lighting, display and energy-harvesting technologies demands highly efficient and easily processable functional materials with tunable properties governed by their molecular/supramolecular structure variations. To date, functional coordination compounds whose function is governed by non-covalent weak forces (e.g., metallophilic, dπ-acid/dπ-base stacking, halogen/halogen and/or d/π interactions) remain limited. This is unlike the situation for metal-free organic semiconductors, as most metal complexes incorporated in optoelectronic devices have their function determined by the properties of the monomeric molecular unit (e.g., Ir(III)-phenylpyridine complexes in organic light-emitting diodes (OLEDs) and Ru(II)-polypyridyl complexes in dye-sensitized solar cells (DSSCs)). This dissertation represents comprehensive results of both experimental and theoretical studies, descriptions of synthetic methods and possible application allied to monovalent coinage metal-based functional materials. The main emphasis is given to the design and synthesis of functional materials with preset material properties such as light-emitting materials, light-harvesting materials and conducting materials. In terms of advances in fundamental scientific phenomena, the major highlight of the work in this dissertation is the discovery of closed-shell polar-covalent metal-metal bonds manifested by ligand-unassisted d10-d10 covalent bonds between Cu(I) and Au(I) coinage metals in the ground electronic state (~2.87 Å; ~45 kcal/mol). Moreover, this dissertation also reports pairwise …

This study analyzes corporate governance practices of foreign (non-U.S.) issuers listed on the New York Stock Exchange (NYSE) and Nasdaq. Specifically, I examine the extent to which these foreign issuers voluntarily comply with U.S. stock exchange corporate governance requirements applicable to domestic issuers. My sample consists of 201 foreign companies primarily domiciled in Brazil, China, Israel, and the United Kingdom. I find that 151 (75 per cent) of the sample firms do not elect to comply with any of the U.S. corporate governance requirements. Logistic regression analysis generally supports the hypotheses that conformance with U.S. GAAP and percentage of managerial ownership are positively associated, and that percentage ownership by major shareholders is negatively associated with foreign firms electing to comply with U.S. corporate governance rules. This evidence is relevant for regulators and investors.

Metagenomics is the study of the totality of the complete genetic elements discovered from a defined environment. Different from traditional microbiology study, which only analyzes a small percent of microbes that could survive in laboratory, metagenomics allows researchers to get entire genetic information from all the samples in the communities. So metagenomics enables understanding of the target environments and the hidden relationships between bacteria and diseases. In order to efficiently analyze the metagenomics data, cutting-edge technologies for analyzing the relationships among microbes and communities are required. To overcome the challenges brought by rapid growth in metagenomics datasets, advances in novel methodologies for interpreting metagenomics data are clearly needed. The first two chapters of this dissertation summarize and compare the widely-used methods in metagenomics and integrate these methods into pipelines. Properly analyzing metagenomics data requires a variety of bioinformatcis and statistical approaches to deal with different situations. The raw reads from sequencing centers need to be processed and denoised by several steps and then be further interpreted by ecological and statistical analysis. So understanding these algorithms and combining different approaches could potentially reduce the influence of noises and biases at different steps. And an efficient and accurate pipeline is important to …

Throughout the scientific literature, researchers have referred to self-respect and self-esteem as being the same construct. However, the present study advocated that they exist as two distinct constructs. In this quantitative study, an instrument was developed to measure self-respect as a construct, and subsequently distinguish that self-respect is distinct from the construct of self-esteem. Exploratory factor analyses (EFA) indicated 32.60% of the variance was accounted for by the 11-item Jefferson Self-Respect instrument (JSR), which measured self-respect as a unidimensional construct. The reliability estimate of the scores from the JSR reached an acceptable α = .82. Fit indices (RMSEA = .031, SRMR = .037, CFI = .982, and TLI = .977) from the confirmatory factor analyses (CFA) signified a well-fitted hypothesized model of self-respect that existed as a unidimensional construct. Additionally, the CFA revealed that the construct of self-respect, and self-esteem was generally distinct, and the strength of the correlation between the two constructs was moderately positive (r = .62).

High entropy alloys (HEAs) is a concept wherein alloys are constructed with five or more elements mixed in equal proportions; these are also known as multi-principle elements (MPEs) or complex concentrated alloys (CCAs). This PhD thesis dissertation presents research conducted to develop precipitation-hardenable high entropy alloys using a much-studied fcc-based equi-atomic quaternary alloy (CoCrFeNi). Minor additions of aluminium make the alloy amenable for precipitating ordered intermetallic phases in an fcc matrix. Aluminum also affects grain growth kinetics and Hall-Petch hardenability. The use of a combinatorial approach for assessing composition-microstructure-property relationships in high entropy alloys, or more broadly in complex concentrated alloys; using laser deposited compositionally graded AlxCrCuFeNi2 (0 < x < 1.5) complex concentrated alloys as a candidate system. The composition gradient has been achieved from CrCuFeNi2 to Al1.5CrCuFeNi2 over a length of ~25 mm, deposited using the laser engineered net shaping process from a blend of elemental powders. With increasing Al content, there was a gradual change from an fcc-based microstructure (including the ordered L12 phase) to a bcc-based microstructure (including the ordered B2 phase), accompanied with a progressive increase in microhardness. Based on this combinatorial assessment, two promising fcc-based precipitation strengthened systems have been identified; Al0.3CuCrFeNi2 and Al0.3CoCrFeNi, …

Cells have been found to have an inherent heterogeneity that has led to an increase in the development of single-cell analysis methods to characterize the extent of heterogeneity that can be found in seemingly identical cells. With an understanding of normal cellular variability, the identification of disease induced cellular changes, known as biomarkers, may become more apparent and readily detectable. Biomarker discovery in single-cells is challenging and needs to focus on molecules that are abundant in cells. Lipids are widely abundant in cells and play active roles in cellular signaling, energy metabolism, and are the main component of cellular membranes. The regulation of lipid metabolism is often disrupted or lost during disease progression, especially in cancer, making them ideal candidates as biomarkers. Challenges exist in the analysis of lipids beyond those of single-cell analysis. Lipid extraction solvents must be compatible with the lipid or lipids of interest. Many lipids are isobaric making mass spectrometry analysis difficult without separations. Single-cell extractions using nanomanipulation coupled to mass spectrometry has shown to be an excellent method for lipid analysis of tissues and cell cultures. Extraction solvents are tunable for specific lipid classes, nanomanipulation prevents damage to neighboring cells, and lipid separations are possible …

John Mackey is an influential and prolific composer of wind band literature. His focus on and exploration of the percussion section are defining characteristics of his compositional voice. Mackey's concerto for percussion and wind band, "Drum Music," is a perfect example of his exploitation of the myriad timbres available within the percussion family, and also serves to showcase the versatility required of a modern percussionist. This dissertation and accompanying lecture recital provide a comprehensive guide for performers of the work. Major aspects of Mackey's compositional approach are discussed with emphasis placed on his use of percussion throughout his works. Analysis and performance concerns are discussed for each of the concertos three movements, and information is provided on the reduced version of the work prepared as part of this study.

This dissertation is about economic resilience of local governments to natural disasters. Specifically, the dissertation investigates resilience on regional level. Moreover, the dissertation also investigates growth in the green job sector in local governments. The findings indicate that local governments working with each other helps green job creation. In addition, the dissertation finds that green jobs, following disasters, experience three percent growth. This dissertation is important because it investigates the relationship between climate- related disasters and green jobs, which is an area that is under-investigated.

This exploratory and descriptive study provides an increased understanding of the topics being explored in both published research and industry reporting in the field of educational technology. Although literature in the field is plentiful, the task of synthesizing the information for practical use is a massive undertaking. Latent semantic analysis was used to review journal abstracts from ten highly respected journals and the New Media Consortium Horizon Reports to identify trends within the publications. As part of the analysis, 25 topics and technologies were identified in the combined corpus of academic journals and Horizon Reports. The journals tended to focus on pedagogical issues whereas the Horizon Reports tended to focus on technological aspects in education. In addition to differences between publication types, trends over time are also described. Findings may assist researchers, practitioners, administrators, and policy makers with decision-making in their respective educational areas.

Using critical race theory and LatCrit as conceptual frameworks, I conducted a qualitative instrumental case study of a cadre of self-identified Mexican-American and Hispanic college students who bring college knowledge, goodwill, and aid to their border town communities. The purpose of this study was to explore how college knowledge and other forms of academic capital are transmitted and co-constructed in the contested terrain of the borderlands. Primary data sources included semi-structured interviews, participant and non-participant observation, and personal artifacts (e.g. newspaper articles, college admissions essays, social media, etc.) collected from 17 full-time undergraduate student participants, 11 males and 6 females, ranging from 19 to 22 years old, who were active members of the Gates Millennium Scholars Program. Supplemental data sources included semi-structured interviews with 23 family members and 9 educators identified by student participants, as well as a review of public records regarding student participant's border town communities (e.g. newspaper articles, census data, educational statistics, etc.). Findings detail how this group of college students manages the 'scholar' distinction in their hometown and utilizes distinct methods to promote academic capital formation. Specifically, this study delineates the following four types of scholars: (1) pioneers, (2) guardians, (3) ambassadors, and (4) advocates. Ultimately, …

This study sought to understand concerns and levels of use of a group of teachers in the process of developing a project-based learning (PBL) program, and the effect of a change facilitator on these processes. The research was guided by the following research questions: One, what are the concerns of teachers regarding the planning of a PBL curriculum? Two, what are the levels of use of teachers in the process of planning the PBL curriculum? Three, how does a change facilitator affect the process of change in the planning of a PBL curriculum? The population of this study consisted of seven subject area high school teachers and one district level administrative staff member. This study used the concerns-based adoption model (CBAM) to study the PBL innovation. CBAM is a conceptual framework that describes, explains, and predicts teachers' concerns and behaviors throughout the change process in education. In this study, the teachers progressed through the levels of use on a timeline at a rate that was much more rapid that what is typical for implementation of an innovation in an educational setting. This rapid progression was the function of the teacher population studied and the change facilitator that led the PBL …

Older adopted children and their families often express high need for support for attachment and trauma related concerns. Post-adoption mental health intervention focused on enhancing the parent-child relationship among adoptive parents and adoptees is essential for fostering placement permanency among these families. This single group pilot study explored the effect of Child-Parent Relationship Therapy (CPRT) for adoptive parents of preadolescents who reported attachment related concerns, stress in the parent-child relationship, and child behavior problems. Participants were 11 adoptive parents ages 25 to 64 (55% male; 91% couples; 100% married; 56% European American, 27% Asian, 9% Hispanic, and 9% Black American) with adoptees between the ages of 8 to 14 (56% male; 56% Hispanic, 33% European American, and 11% Black American). All child participants were adopted out of foster care. Data was collected at baseline, pretest, midtest, and posttest. Results from non-parametric Friedman test of differences across 4 points of measure indicated that CPRT demonstrated statistically significant improvement for the 3 outcome variables: parental empathy, child behavior, and parent child relationship stress. Specifically, results indicated that prior to receiving CPRT (baseline to pretest), parents demonstrated no change or worsening in functioning across all variables, whereas during the intervention phase findings showed …

With limited state and local funds as well as a growing student population, how elected decision makers allocate money to impact college readiness needs to be explored. The purpose of this research study was to explore the impact of instructional expenditures on educational outcomes. This multivariate multiple regression study specifically explored the impact of instructional expenditure ratios and per pupil instructional expenditures of every public school district in Texas on student performance college readiness indicators measured by state assessments (State of Texas Assessment of Academic Readiness [STAAR] Mathematics and English Language Arts [ELA] test scores) and national assessments (American College Test [ACT] and Scholastic Assessment Test [SAT] scores) over a 5-year period. Fifteen different regression models were established with various significant predictors of expenditures and revenue funds. These models explained up to 46% of the variance for college readiness scores over the 5-year period.

Corrosion represents the single most frequent cause for product replacement or loss of product functionality with a 5% coat to the industrial revenue generation of any country in this dissertation the efficacy of using filled coatings as a protection coating are investigated. Fillers disrupt the polymer-substrate coating interfacial area and lead to poor adhesion. Conflicting benefits of increasing surface hardness and corrosion with long term durability through loss of adhesion to the substrate are investigated. The effects of filler type, filler concentration and exposure to harsh environments such as supercritical carbon dioxide on salt water corrosion are systematically investigated. The constants maintained in the design of experiments were the substrate, AISI-SAE 1018 steel substrate, and the corrosive fluid synthetic sea salt solution (4.2 wt%) and the polymer, Bismaleimide (BMI). Adhesion strength through pull-off, lap shear and shear peel tests were determined. Corrosion using Tafel plots and electrochemical impedance spectroscopy was conducted. Vickers hardness was used to determine mechanical strength of the coatings. SEM and optical microscopy were used to examine dispersion and coating integrity. A comparison of fillers such as alumina, silica, hexagonal boron nitride, and organophilic montmorillonite clay (OMMT) at different concentrations revealed OMMT to be most effective with …

Promising results from the use of problem-based learning (PBL) as a teaching method in medical programs have encouraged many institutions to incorporate PBL into their curricula. This study investigates how applying hybrid-PBL (H-PBL) in a microbiology laboratory impacts students' higher-order thinking as compared to applying a lecture-based pedagogy. The experimental design compared the learning outcomes of two groups of students: the control group and the H-PBL group, for whom PBL cases comprised 30% of the curriculum. Both groups were taught basic skills for the microbiology lab by the same instructor. Using the traditional teaching style for the control group, the instructor offered each student what they needed for their experiments. The H-PBL group practiced experimental design, data analysis, theory proposal, and created research questions by using six study cases that were closely linked to the area of study. The outcome was measured using a pre- and post- assessment consisting of 24 questions that was designed by following Bloom's taxonomy of learning levels. A one-way ANOVA was used to analyze the data. The results showed that for the first three levels of Bloom's taxonomy— knowledge, comprehension, and application—there were no statistically significant differences between the H-PBL and control group gain scores …

This randomized, controlled study examined the effectiveness of two mentoring programs, child mentor relationship training (CMRT) and peer assistance and leadership (PAL®), on high school mentor empathic behaviors and child mentee behavior problems. Participants were 60 young, at-risk students (61.7% male; 38.3% Hispanic/Latino/a, 31.7% Caucasian, 21.7% African American, 8.3% biracial) and 30 high school students (53.3% male; 66.7% Caucasian, 26.7% Hispanic/Latino/a, 0.03% African American, 0.03% Asian). Mentors and mentees were randomly assigned to CMRT or PAL®, which was treatment as usual in the participating school district. Results from 2 (group) by 2 (time) repeated measures ANOVAs indicated compared to the PAL® treatment group over time, mentors in the CMRT group demonstrated statistically significant improvement in empathic behaviors with a large treatment effect, as rated by independent observers. Analysis revealed a moderate treatment effect with CMRT group mentee behavior problems, but the difference was not statistically significant between treatment groups over time. Further analysis revealed the CMRT group demonstrated statistically significant reductions in behavior problems from pre- to post-test with a very large treatment effect. Overall, findings support CMRT as a promising school-based intervention for at-risk young children that potentially increases school counselor efficiency.