Child-centered play therapy (CCPT) is an empirically endorsed approach for children facing specific clinical concerns and life circumstances alike. The majority of research to date has accrued data about clients from secondary sources, such as adult report and observation. The purpose of this study was to explore children's perceptions of participating in CCPT by implementing a developmentally accessible interview medium, allowing children to share their experiences directly. Ten children between the ages of 4 and 7 who had completed at least eight sessions of CCPT were invited to create a drawing and respond to an interview protocol with their counselor. Data sources included the picture produced, a transcript of the interview between the child and counselor, and observation notes of the interview process. Using a phenomenological approach, three themes were identified to describe children's awareness and experience of the intervention: expressions of relationship, experiences in the playroom, and reluctance to engage in counselor-directed activity. The first two themes reflect children's report of the intervention and the third represents reactions to the research activity. Findings from this study support conclusions that children are aware of relationship between themselves and their counselor and recognize the uniquely unstructured features of play therapy and …

Hypoxia as a stressor has physiological implications that have been a focal point for many physiological studies in recent years. In some studies, hypoxia had large effects on the organ tissue degeneration, which ultimately effects multiple ecological processes. These organ tissue studies played a part in the development of new fields like neurocardiology, a specialty that studied the relationship between the brain and the heart. This thesis focuses on how hypoxia-induced cardiac arrest alters the amounts of GLYT2, a glycine reuptake transporter, in the central nervous system of zebrafish, Danio rerio. At 7 days post-fertilization (dpf), zebrafish were exposed to acute, severe hypoxia until they lost equilibrium, and minutes later, subsequent cardiac arrest occurred. Zebrafish were then placed into recovery groups to measure the GLYT2 levels at multiple points in zebrafish recovery. Fish were then sacrificed, and their brains dissected. Using immunofluorescence, the outer left optic tectum of the zebrafish was imaged, and mean image pixel fluorescent intensity was taken. There were significant changes (one-way ANOVA) in the levels of GLYT2 compared to that of the control groups during the course of recovery. GLYT2 levels continued to rise through the 24-hour recovery mark but did not show significant difference after …

Radio map estimation (RME) is the task of predicting radio power at all locations in a two-dimensional area and at all frequencies in a given band. This thesis explores four deep learning approaches to RME: dual path autoencoders, skip connection autoencoders, diffusion, and joint learning with transmitter localization.

Soft actuation methods are a developing field of robotics deemed suitable for physical human-robot interactions due to the adaptability of materials and compliant structures. Thermo-active soft actuators are a subset of these which convert thermal energy to mechanical work in the form of elongation, bending, or twisting to conform to the environment. This study is divided into three major studies that all use actuators with a working principle of phase-change fluid vaporizing for expansion with applied heat from a Peltier. The first study evaluates the bandwidth and efficiency between (i) traditional Joule heating, and (ii) Peltier heating, finding that Peltier heating can considerably improve the operational bandwidth of the actuator. The second study uses a thin membrane actuator placed in a braided mesh to form a McKibben muscle capable of lifting 5N, and formed into a gripper capable of manipulating objects within the environment. The third study uses actuators of a solid, hollow and flexible Peltier embedded silicone structure and are evaluated and optimized in order to increase actuation speed, finding that the embedded flexible Peltier design was able to elongate over 50% of its original height in 20 seconds. The overall aim of all of these studies was to …

The present study provides an example of implementing the difference in differences (DD) estimator for a two-group, pretest-posttest design with K-12 educational intervention data. The goal is to explore the basis for causal inference via Rubin's potential outcomes framework. The DD method is introduced to educational researchers, as it is seldom implemented in educational research. DD analytic methods' mathematical formulae and assumptions are explored to understand the opportunity and the challenges of using the DD estimator for causal inference in educational research. For this example, the teacher intervention effect is estimated with multi-cohort student outcome data. First, the DD method is used to detect the average treatment effect (ATE) with linear regression as a baseline model. Second, the analysis is repeated using linear regression with cluster robust standard errors. Finally, a linear mixed effects analysis is provided with a random intercept model. Resulting standard errors, parameter estimates, and inferential statistics are compared among these three analyses to explore the best holistic analytic method for this context.

Seventeen new dithiophenyl- and napthodithiophenyl- fused porphyrins were synthesized; from these an additional 7 porphyrin oligomers were also synthesized. Additionally freebase 2,7-dimethoxytriphenylene fused porphyrin was also synthesized from a freebase precursor. Aromatic indices NICS and AICD were used to evaluate these new molecules.

This dissertation is an examination of Divertimento for Solo Trombone and Wind Band by renowned wind band composer and conductor Jack Stamp. The result of this study is the illumination of a 21st-century composition for solo trombone and band that is made accessible for future performers, accomplished by constructing original musical exercises that are influenced by current trombone pedagogical materials that have either been edited, annotated or created by current performers and pedagogues such as Joseph Alessi, Brad Edwards and Michael Mulcahy. The piece also incorporates 20th -century American wind band influences. The careful selection of pedagogical materials serves the purpose of making this challenging solo accessible for the advanced academic trombonist and can serve as a template for surveying advanced literature of the present and future. Additionally, the pedagogical materials selected for use in this dissertation were considered based on their value in the present academic trombone repertory. Thus, this performance guide reflects on the validity of the modern trombone pedagogical literature to guide a performer's study, interpretation, and performance of a 21st-century work for solo trombone.

In this dissertation, I investigate the existing smart contract problems that limit cognitive abilities. I use Taylor's serious expansion, polynomial equation, and fraction-based computations to overcome the limitations of calculations in smart contracts. To prove the hypothesis, I use these mathematical models to compute complex operations of naive Bayes, linear regression, decision trees, and neural network algorithms on Ethereum public test networks. The smart contracts achieve 95\% prediction accuracy compared to traditional programming language models, proving the soundness of the numerical derivations. Many non-real-time applications can use our solution for trusted and secure prediction services.

This qualitative case study aims to understand the ways in which students identifying as Native American, American Indian, and Indigenous navigate attending a university informed by their identities. Through semi-structured interviews with Indigenous students and participant observation with a Native American student organization, this study identified how this demographic of students navigate and conceptualize their identities as Native and Indigenous peoples, the benefits of joining a Native American student organization on their university campus, and how they experience the university as a racialized organization. One overarching and three nuanced research questions were examined to illustrate how students' identities inform how they experience university life with themes surrounding Native and Indigenous identity construction informed by federal policy and Indigenous community practices, collective identity and student involvement, sense of belonging at college, and understanding universities as racial organizations that participate in racial capitalism. The study findings indicated that students' identities are regularly negotiated, engaged with, and leveraged throughout their college experiences and recommendations were made for how colleges and universities can more adequately and equitably serve this student demographic.

Small-scale fracture behavior of four model alloy systems were investigated in the order of increasing microstructural complexity, namely: (i) a Ni-based Bulk Metallic Glass (Ni-BMG) with an isotropic amorphous microstructure; (ii) a single-phase high entropy alloy, HfTaTiVZr, with body centered cubic (BCC) microstructure; (iii) a dual-phase high entropy alloy, AlCoCrFeNi2.1, with eutectic FCC (L12) -BCC (B2) microstructure; and (iv) a Medium-Mn steel with hierarchical microstructure. The micro-mechanical response of these model alloys was investigated using nano-indentation, micro-pillar compression, and micro-cantilever bending. The relaxed Ni-BMG showed 6% higher hardness, 22% higher yield strength, and 26% higher bending strength compared to its as-cast counterpart. Both the as-cast and corresponding relaxed BMGs showed stable notch opening and blunting during micro-cantilever bending tests rather than unstable crack propagation. However, pronounced notch weakening was observed for both the structural states, with the bending strength lower by ~ 25% for the notched samples compared to the un-notched samples. Deformation behavior of HfTaTiVZr was evaluated by micropillar compression and micro-cantilever bending as a function of two different grain orientations, namely [101] and [111]. The [111] oriented micropillars demonstrated higher strength and strain hardening rate compared to [101] oriented micropillars. The [111] oriented micropillars showed transformation induced plasticity …

In Essay 1, we seek to expand the insights on an individual's decision to share group content. Social networking sites (SNS) have become a ubiquitous means of socializing in the digital age. Using a survey, we collected data from 520 respondents with corporate work experience to test our research model. Our analysis highlights the complex interplay between individual and group factors that shape users' risk-benefit analysis of sharing group content on social networking sites. Furthermore, the results of this study have important implications for social networking site design and policy, particularly with regard to providing granular control over the privacy settings of group content and clear and concise information about the potential risks and benefits of sharing group content. Essay 2 aims to extend the knowledge of information security policy (ISP) compliance. Using a comprehensive approach, we extended the perspective of control mechanisms in the context of ISPs. It is evident that maintaining information security is an important concern for organizations of all sizes and industries. Organizations can establish policies and procedures to regulate and ensure compliance with information security policies, and various control mechanisms can be employed to ensure compliance. Among these control mechanisms, enforcement, punishment, evaluation, and recognition …

The American's battle of St. Mihiel in September 1918 has long been a marginalized battle in an almost forgotten war. In the historiography of American World War I involvement, the battle is relegated to a side-show that was little more than a distraction from the Meuse-Argonne. This stance needs to be re-evaluated as St. Mihiel proved an essential training ground for the US Army. The army rapidly expanded and participated in a major offensive, completed the complicated planning process, undertook a significant deception and intelligence-gathering campaign, and led coalition forces to reduce a salient that existed for years, in only a few short months. While not a perfect operation, the Americans overcame several obstacles to form the US First Army and achieve victory. St. Mihiel is a turning point in military training and doctrine as students studied the tactics after the war into the modern day. The memory of the battle was affixed in the minds of those who fought it and those on the home front who eagerly read the news stories coming from the Western Front. Modern audiences should also recognize the significance of the Battle of St. Mihiel.

Observational learning (OL) allows an individual to acquire novel responses by observing others' behavior and the corresponding consequences. The complexity of skills involved with OL may vary with the learning context. A learner may observe modeled responses to both trained (known) and untrained (unknown) stimuli or they may observe both reinforced (correct) and nonreinforced (incorrect) responses. The purpose of this study was to develop assessment and training procedures for OL component skills when the learner observes a combination of learning contexts: reinforced and nonreinforced responses to both trained and untrained stimuli. Two children with autism, Tom and David, participated. We assessed the following component skills in the context of tact trials: (1) Discriminating trained and untrained stimuli, (2) attending to the modeled performance, (3) discriminating consequences, and (4) conditionally responding based upon a name call. Next, we trained the component skill(s) for which the learner's performance did not meet criterion and then reassessed for OL. For both participants, immediate increases in OL were observed; however, modifications to the post-assessment (differential observing response for consequences and/or differential reinforcement) were required to produce (Tom) or maintain (David) criterion levels of responding. Interpretations of these outcomes, as well as limitations and directions for …

Considering that both cardiovascular disease (CVD) and congenital heart diseases (CHD) are still the leading cause of morbidity and mortality worldwide, there is a need for a robust and reliable cardiac model. Cardiac organoids are complex, three-dimensional cellular constructs that recapitulate the processes of the human embryonic heart. However, certain vital morphological features within the fetus are not yet replicable with cardiac organoids. Here we report our investigation to generate cardiac organoids with chamber formations. Our method involves modulating the Wnt pathway at two different instances while also implementing two cell seeding densities, all to determine the most optimized that to produce chamber formations within cardiac organoids.

Thomas E. Dewey and Charles "Lucky" Luciano became household names during a 1936 vice trial in which Dewey successfully prosecuted Luciano, a prominent Mafioso, who received a thirty-to-fifty-year prison sentence. Later, Dewey became the Governor of New York and a perennial Republican presidential candidate while Luciano, still in prison, took part in a joint Navy-Mafia intelligence operation in World War II. In 1946, Governor Dewey commuted Luciano's sentence on the condition that he be deported to his native Italy. The commutation led to years of controversy fomented by the Federal Bureau of Narcotics (FBN), which downplayed Luciano's wartime services, spread rumors that he had bribed his way out of prison, and claimed that he was smuggling drugs into America from Italy. The FBN's narrative was echoed by muckraking journalists and Dewey's political opponents, finally prompting Dewey in 1954 to order an investigation that thoroughly debunked FBN assertions. However, the records of that investigation were quarantined until the mid-1970s. Since then, most scholars have used those records to explore the Navy-Mafia wartime alliance, but this dissertation exhaustively mines them and other documents in Dewey's papers, along with federal records, to disprove the FBN's narrative that there was something untoward about Dewey's …

Many previous studies have demonstrated that gold compounds possess successful results in catalysis and in medicinal chemistry. The central aim of this dissertation is the design and synthesis of novel gold (I) acyclic diamino carbene complexes as a chemotherapeutic agent for triple-negative breast cancer (TNBC) and for catalysis. In this study, a series of chiral neutral and cationic gold (I) acyclic diamino carbene (ADC) complexes and neutral gold (I) bis- ADC complexes have been synthesized. As the chiral neutral gold (I) ADCs, four diastereomers of S binaphthyl L proline tertiary butyl ester gold (I) chloride, S binaphthyl D proline tertiary butyl ester gold (I) chloride, R binaphthyl L proline tertiary butyl ester gold (I) chloride, and R binaphthyl D proline tertiary butyl ester gold (I) chloride have been synthesized and characterized. Different chiral gold (I) ADC complexes with bulky chiral binaphthyl group and with different amine groups of morpholine, chiral proline methyl ester, and benzyl ester have been synthesized and characterized. After that four diastereomers of the nitrile adduct of cationic binaphthyl proline tertiary butyl ester nitrile and four diastereomers of the isonitrile versions of it have been synthesized and characterized. A series of gold (I) cationic bis ADC complexes …

Ambient lighting has emerged as a key atmospheric factor influencing how consumers process environmental cues and their behaviors. However, surprisingly little research has examined how people think and feel in the dark (lower than 15 lux). This is particularly relevant given that consumers routinely work, pay bills, relax, consume and make purchases in settings with little or no light. My dissertation addresses this gap by examining how consumers regulate their goals and process information when the light is off, and how that impacts their decision making in three substantive domains: risk-taking behavior, decision quality, and persuasion. In Essay 1, I propose darkness enables risk-taking behavior, and this effect happens through the calmness and relaxation induced in the dark. One caveat is that the decisions have to be made in a familiar setting. The effect was reflected in participants' decisions to invest in riskier yet lucrative stocks, to gamble with the riskier choice, to eat at a foreign restaurant, and to choose a supplement that has potential side effects in a field experiment and three lab experiments (pre-registered). In Essay 2, I propose that when the light is off, consumers are indeed induced to adopt an effortful processing mode. Across four …

The American democracy is experiencing strain from the erosion of democratic norms and its political, judicial, social, and economic institutions. In short, the American democracy shows signs of democratic deconsolidation. Community colleges are higher education institutions that help consolidate the U.S. democracy by representing democratic values such as equality and opportunity. The purpose of my study was to explore how selected community college presidents understand and articulate the responsibility of their institutions to prepare students for a meaningful role in the American democracy. Qualitative narrative inquiry methods, including in-depth semistructured interviews and document analysis, were used to collect data for the study. Three primary themes emerged from the data that addressed the purpose of this study: 1) community college philosophy: blueprint for a vision, 2) consolidating local democracies, and 3) citizens as students, students as citizens. These three themes supported further interpretation of the data that was organized under these headings, 1) the community college democratic mission, 2) community colleges help deepen democracy, and 3) the role of community colleges in the American democracy: public goods, private goods. In summary, my research found that first, my participants believed that community colleges have a responsibility to the American democracy and this …

Supply chain transparency is principally focused on a company's efforts toward disclosing information about their products, and their supply chain operations to the public. Essay 1 is a conceptual paper that examines the risks of disclosing supply chain mapping information to consumers and proposes an approach to developing risk mitigation strategies. This essay also develops a set of supply chain mapping conventions that support the development of an agility-focused supply chain map. Essay 2 employs an experimental design methodology to examine the impact of disclosing the ethnicity of a supplier on consumers' behaviors, while also capturing the extent to which a consumers' ethnic identity and prosocial disposition influence their behaviors. Finally, also using an experimental design, Essay 3 analyzes consumer outcomes based on disclosing no, partial, and full supply chain transparency information, and accounts for heterogenous consumer traits such as the importance of information to a consumer and their perceived quality of information. Collectively, these essays advance the body of knowledge that seeks to understand the risks and benefits of supply chain transparency, by conceptually identifying risks and proposing an approach to minimize the risks associated with supply chain transparency, and by illuminating the conditions that prompt favorable consumer outcomes.

This research study examined the implementation of an extended reality (XR) lab on a community college campus to facilitate student and faculty access to immersive learning resources. The study, conducted during one skills day, involved 46 students and was designed to understand if integrating immersive VR into emergency medical technician (EMT) education could enhance learner confidence and motivation, develop problem-solving and analytical thinking skills, and thus connecting the classroom learning with real-world application. The majority of participants reported increased motivation and engagement, alongside improvements in learning outcomes like knowledge retention and skill development. Applying the unified theory of acceptance and use of technology (UTAUT) model revealed performance expectancy, effort expectancy, social influence, and facilitating conditions as key determinants of VR adoption in EMT education. While no significant overall performance enhancement was observed, VR training showed potential to boost motivation, confidence, and specific performance aspects. Furthermore, student perceptions towards VR in EMT education were largely positive, thereby suggesting its utility in immersive scenario training, skill acquisition in a risk-free environment, enhancing learner engagement, and real-world situational preparedness. VR demonstrated promise as a transformative tool in EMT education, necessitating further research to fully exploit its potential in diverse learning environments.

In this dissertation, we address the problem of vagueness in traditional legal contracts by presenting novel methodologies that aid in the paradigm shift from traditional legal contracts to smart contracts. We discuss key enabling technologies that assist in converting the traditional natural language legal contract, which is full of vague words, phrases, and sentences to the blockchain-based precise smart contract, including metrics evaluation during our conversion experiment. To address the challenge of this contract-transformation process, we propose four novel proof-of-concept approaches that take vagueness and different possible interpretations into significant consideration, where we experiment with popular vendors' existing vague legal contracts. We show through experiments that our proposed methodologies are able to study the degree of vagueness in every interpretation and demonstrate which vendor's translated-smart contract can be more accurate, optimized, and have a lesser degree of vagueness. We also incorporated the method of fuzzy logic inside the blockchain-based smart contract, to successfully model the semantics of linguistic expressions. Our experiments and results show that the smart contract with the higher degrees of truth can be very complex technically but more accurate at the same time. By using fuzzy logic inside a smart contract, it becomes easier to solve the …

Logistics 4.0 suggests that increased automation can enhance performance, while Logistics 5.0 emphasizes the advantages of a modern workforce that combines humans and emerging technologies. However, the logistics industry needs a deeper understanding of human factors, an area that has been overlooked so far. To bridge this research gap, this dissertation investigated distracted driving behavior among individuals involved in transportation and logistics-based applications. This investigation employed both qualitative and quantitative research methods. Essay 1 focuses on a systematic literature review (SLR) that comprehensively analyzes published research on self-response studies regarding distracted driving behavior. The study identifies five overarching categories of distractions: (a) cell phone-related, (b) technology-related, (c) nontechnology-related, (d) psychological, and (e) personality. The findings underscore the substantial research conducted on self-reported distractions associated with cell phones and technology. Essay 2 employs the protection motivation theory (PMT) to develop hypotheses that predict the engagement of young drivers in texting while driving (TWD). In addition to TWD, the survey also included cognitive failure to examine the indirect effects of PMT on TWD within a mediation framework. The results, obtained through structural equation modeling with 674 respondents aged 18-25, indicate that several factors including response cost, threat vulnerability, cognitive failure, self-efficacy, and …

This dissertation introduces a hybrid strategy for automated testing of Android applications that combines reinforcement learning and test suite prioritization. These approaches aim to improve the effectiveness of the testing process by employing reinforcement learning algorithms, namely Q-learning and SARSA (State-Action-Reward-State-Action), for automated test case generation. The studies provide compelling evidence that reinforcement learning techniques hold great potential in generating test cases that consistently achieve high code coverage; however, the generated test cases may not always be in the optimal order. In this study, novel test case prioritization methods are developed, leveraging pairwise event interactions coverage, application state coverage, and application activity coverage, so as to optimize the rates of code coverage specifically for SARSA-generated test cases. Additionally, test suite prioritization techniques are introduced based on UI element coverage, test case cost, and test case complexity to further enhance the ordering of SARSA-generated test cases. Empirical investigations demonstrate that applying the proposed test suite prioritization techniques to the test suites generated by the reinforcement learning algorithm SARSA improved the rates of code coverage over original orderings and random orderings of test cases.

The production of Hate, albeit a historical, long-existing, and relentless process, has been reinvigorated by the simultaneously globalizing and localizing power of cyberspace. Techno-capitalism, often perceived as the actuating force of neoliberal globalization, has emanated novel formations of social interaction, community formation, the dissemination of ideology, and political mobilization. Far-right ideology is being globalized throughout popular social cyberspaces like YouTube by thought leaders or ideological entrepreneurs, while users then localize within alternative social cyberspaces like Gab, wherein their beliefs are reaffirmed, identities are consolidated, and communities are formed. This process is integral to the materialization of far-right extremism, manifested as political action in real, physical space, and thus, illuminates new expressions of real virtuality, various politics of scale, and contemporary consequences of neoliberal globalization.