As a political disturbance and social movement, the Cultural Revolution hugely impacted the development of Chinese piano art. The piano went through many stages throughout this ten-year period. This dissertation examines the suppression and later expansion of piano music in China during the Cultural Revolution, along with the historical motivations and forces that shaped each stage of its development. The study is supported by historical documents and relevant literature. This dissertation includes an analysis of the roles that piano music played during this era and the piano's relationship with the Cultural Revolution's modernizing goals. The analysis focuses on the musical characteristics of three piano pieces from this period and explores the instrument's historical importance, to better understand how Chinese piano music maintained a careful balance between its value as a tool for socio-political propaganda and its transformation under the burden of political pressure and creative limitations. Additionally, this dissertation examines playing techniques in these works that define a distinctly Chinese piano style that is enormously popular today. To complement the dissertation, these piano pieces were performed during the dissertation recital.

One of the famous Russian composers and a pianist himself, Sergei Prokofiev (1891–1953) composed a vast quantity of piano music. His nine piano sonatas represent well how he projected his musical individuality and the principles that he addressed in his autobiography: classical line, modern trend, toccata line, lyrical line, and grotesque line. However, even though Prokofiev's piano sonatas are considered one of the important collections in the piano repertoire, not all of them have gained popularity and only a few tend to be frequently performed by pianists today. For this reason, this dissertation focuses on one of his less-performed piano sonatas, No. 4 in C minor, Op. 29. The pianists György Sándor and Boris Berman were chosen as specialists in Prokofiev's piano works, and their performance editions and recordings are analyzed and compared as main references. This study provides analysis and a performance guide to this piano sonata. This guide discusses pedaling, fingering, phrasing, touch, voicing, tempo suggestion, articulation, hand distribution, and expression.

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental toxicants found in anthropogenic mixtures such as crude oil, air pollution, vehicle exhaust, and in some natural combustion reactions. Single PAHs such as benzo[a]pyrene (BaP) also impact fish behavior when animals are exposed in early life stages and for short periods of time. Aquatic animals such as fish may encounter BaP through road runoff and oil spills, but few studies have examined the impact of aqueous exposure on adult fish, and fewer have examined the resulting fitness-relevant behavioral consequences of BaP and PAH mixtures and their long-term persistence. This dissertation targets this gap in the literature by examining how aqueous exposure to BaP influences anxiety-like behavior, learning, and memory in adult zebrafish, and how parental exposure to the PAH mixture, crude oil, combined with hypoxia affects social and exploratory behavior in unexposed larval zebrafish. We found that learning and memory were not affected by 24 hour exposure to BaP, that anxiety-like behavior was minimally affected, and that locomotor parameters such as distance moved and times spent in darting and immobile states were significantly altered by exposure to BaP. Additionally, we found that parental exposure to crude oil and hypoxia decreased larval velocity. Additionally, …

Although the Dimensions of the Learning Organization Questionnaire (DLOQ) has been widely accepted by the HRD community, it has not been tested in a startup context for reliability. The purpose of the current study is to explore if the DLOQ is a reliable instrument for startups to help them be more successful. The current study seeks to address some of the questions, which have been posed by previous researchers. The study utilizes a mixed-method design applying Cronbach alpha values to check the reliability of the instrument in a startup learning environment, with more than 600 participants and 42 startup businesses at a university in the Mountain West. The study uses objective financial measures for startup firms to explore the correlation between the seven dimensions of the DLOQ and startup companies at the university. Cronbach alphas for the instrument measured at the .80 level or higher. Four of the dimensions were found to be statistically significant resulting in a model that accounted for 30% of the variance in predicted Operating Income (p<.004) and 29% of the variances in predicted Net Income (p<.003). The study also uses qualitative analysis to explore what activities relate to the seven dimensions of the DLOQ, and …

Manually grading essays and providing comprehensive feedback pose significant challenges for writing instructors, requiring subjective assessments of various writing elements. Automated essay scoring (AES) systems have emerged as a potential solution, offering improved grading consistency and time efficiency, along with insightful analytics. However, the use of AES in English as a Second Language (ESL) remains rare. This dissertation aims to explore the implementation of AES in ESL education to enhance teaching and learning. The dissertation presents a study involving ESL teachers who learned to use a specific AES system called LightSide, a free and open text mining tool, to enhance writing instruction. The study involved observations, interviews, and a workshop where teachers learned to build their own AES using LightSide. The study aimed to address questions related to teacher interest in using AES, challenges faced by teachers, and the influence of the workshop on teachers' perceptions of AES. By exploring the use of AES in ESL education, this research provides valuable insights to inform the integration of technology and enhance the teaching and learning of writing skills for English language learners.

The age-cutoff regression discontinuity design (RDD) has emerged as one of the most rigorous quasi-experimental approaches to determining program effects of prekindergarten on literacy and numeracy outcomes for children at kindergarten entry. However, few pre-K meta-analyses have focused attention on validity threats. The current random-effects meta-regression tests the moderating effects of prominent threats to validity, selection bias and sensitivity, on impact estimates generated from age-cutoff regression discontinuity studies from large-scale programs. Results from averaging dependent standardized mean difference effects suggested small positive moderating effects of total attrition and robust 3-month bandwidths on reading effects, but not on math. However, these results were not statistically significant. In contrast, results generated from robust variance estimation yielded a small statistically significant association between total attrition and math effects. These mixed results may warrant further research on prekindergarten evaluation methodology, evaluation estimation methods, and the totality of evidence used to inform policy.

In both Mexico and the U.S., abortion rights protests have been taking place in recent years, but while Mexico is moving forward with the legalization of abortion, the U.S. is going in the opposite direction with the overturning of Roe v. Wade. Through framing, journalists select salient information, shaping audiences' understandings of social movements. The protest paradigm suggests that due to journalistic norms and routines, journalists tend to focus on disruptive acts, which can stigmatize the protest. Additionally, scholars have stated that men and women photojournalists have different approaches to covering certain topics. This cross-national research combined a content analysis of photographs in U.S. and Mexican media with in-depth interviews with photojournalists to determine if photojournalists in each country are reproducing the protest paradigm and if there are gendered differences in how they photograph abortion rights protests. The results revealed that women and men photograph differently, with women capturing more intimate photos; however, photojournalists' gendered experiences are also influenced by how protesters perceive them. Furthermore, the study suggests that photojournalists from both countries are questioning objectivity and are attempting to move away from the protest paradigm. This research provides valuable insights into visual framing theory, protest news coverage, and gendered …

On April 16, 2014 the Sewol Ferry became one of the worst maritime disasters in South Korea with the loss of 304 passenger, the majority being high school students. South Korea is a collectivist culture, structured as a hierarchical system that teaches their students and children to always respect, listen, and trust authority figures especially in dangerous situations. This study explores how collectivist cultural elements impacted the response of the Sewol Ferry. By examining the timeline of the disaster through interviews, documentaries, news articles and media; this thesis offers insight into what happened that day by providing perspectives from the rescue crew, government officials, survivors, volunteers, and family members of those who died. The analysis showed that in collectivist culture, children and students are taught to trust and listen to authority figures when in dangerous situations, however because of the Sewol disasters, the culture of adhering to the hierarchical systems started to collapse. Students who survived stated that they no longer can trust and respect adults after the incident along with family members of the students who passed away and the public. Also, the government withheld information and failed to protect the children aboard the ferry, because they didn't want …

This study investigated a new approach to achieving high energy density supercapacitors (SCs) by using high surface area self-activated carbon from waste coffee grounds (WCGs) and modifying 3D printed electrodes' porous structure by varying infill density. The derived activated carbons' surface area, pore size, and pore volume were controlled by thermally treating the WCGs at different temperatures (1000˚C, 1100˚C, and 1200˚C) and post-treating with HCL to remove water-soluble ashes and contaminants that block activated carbon pores. Surface area characterization revealed that the carbon activated at 1000˚C had the highest surface of 1173.48 m2 g-1, and with the addition of HCL, the surface area increased to 1209.35 m2 g-1. This activated carbon was used for fabricating the electrodes based on the surface area and having both micropores and macropores, which are beneficial for charge storage. Direct ink writing (DIW) method was utilized for 3D printing SC electrodes and changing the electrode structure by increasing the infill densities at 30%, 50%, and 100%. Upon increasing the infill densities, the electrodes' mass increased linearly, porosity decreased, and the total surface area increased for the 30% and 50% infill electrodes but decreased for the 100% infill electrode. Cyclic voltammetry (CV) test on the assembled …

The thesis examines post-event displacement of households in the year following Hurricane Harvey. Using data gathered from a three-page mail survey conducted approximately 1-year after the storm, this study examines two primary research objectives. First this thesis aims to identify variables that predict displacement or non-displacement after the disaster. Second, this study explores patterns in the destination and duration of displaced households following Hurricane Harvey. Logistic regression analyses were used to examine the extent to which household composition characteristics and level of damage sustained during Hurricane Harvey predicted post-disaster displacement. Next, independent sample t-tests and descriptive statistical analyses were used to identify patterns in the destination of post-event relocations. Research findings indicate in the overall binary logistic regression model that after Hurricane Harvey, being White, level of home damage, wind damage, and number of days a member of the household returned home post-Harvey increased the likelihood of a household being displaced. Analysis of the survey responses also indicated that many households made multiple moves following Hurricane Harvey and specifically, displaced households were more likely to stay with a friend or relative. Additionally, this study found that with each additional relocation, the duration of stay at each destination increased while the …

The Nit1C cluster is a conserved gene cluster of seven genes that confers bacterial growth on cyanide as the sole nitrogen source. Bacteria with this ability are referred to as cyanotrophs. To date, the linkage between Nit1C and cyanotrophy has only been demonstrated for environmental isolates but the cluster also exists in certain medically related bacteria. In this study, a nosocomial isolate, Acinetobacter haemolyticus ATCC 19194, carrying Nit1C also displayed the ability to grow on cyanide. Growth on cyanide was accompanied by the induction of the cluster as was the mere exposure of cells to cyanide. Expression of the cluster was determined by measuring the activity of the nitrilase (NitC) coded for by the cluster and by transcriptional analysis (qRT-PCR). However, a disconnect between nitC message and NitC protein was observed depending on the phase of the growth cycle, the disconnect being related to proteolytic digestion of the NitC protein. Ironically, the cluster was also discovered to be upregulated in the absence of cyanide under nitrogen starvation conditions paralleling biofilm formation. The basis of the genetic linkage to cyanotrophy is not understood but taken together with results showing that nitrogen starvation and biofilm formation are also physiologically associated with Nit1C …

The research presented in the dissertation deals with the synthesis, characterization, photophysical, electrochemical, and pump probe studies of porphyrin-fullerene based donor-acceptor conjugates. The first chapter provides insights into the introduction of the thesis, which explains the events that occur in natural photosynthesis and the mimicking process of an artificial photosynthesis based on natural photosynthesis, works done in covalently and non-covalently linked donor acceptor systems, and the penetration of the literature related to the long-lived charge-separated states donor-acceptor conjugates. The second chapter details the physical methods employed to monitor the various photochemical processes in the donor-acceptor moiety. The third chapter focusses on designing and synthesizing a platinum porphyrin-fullerene dyad used for long-lived charged-separated state. The formation of a high-energy, long-lived radical ion pair by electron transfer from the triplet excited state is orchestrated in the dyad. The porphyrin ring is modified with three triphenylamine which act as secondary electron donors. The spin state of the electrons leading to the formation of long-lived charge-separated state is demonstrated by time-resolved optical and EPR spectroscopy. The fourth chapter studies metal ligand axial coordination. Two porphyrins were self-assembled via metal-ligand axial coordination of phenyl imidazole functionalized fulleropyrrolidine. A 1:2 complex formation with ImC60 was observed …

Stories and a novel.

The original FlexiChain and its descendants are a revolutionary distributed ledger technology (DLT) for cyber-physical systems (CPS) and their embedded systems (ES). FlexiChain, a DLT implementation, uses cryptography, distributed ledgers, peer-to-peer communications, scalable networks, and consensus. FlexiChain facilitates data structure agreements. This thesis offers a Block Directed Acyclic Graph (BDAG) architecture to link blocks to their forerunners to speed up validation. These data blocks are securely linked. This dissertation introduces Proof of Rapid Authentication, a novel consensus algorithm. This innovative method uses a distributed file to safely store a unique identifier (UID) based on node attributes to verify two blocks faster. This study also addresses CPS hardware security. A system of interconnected, user-unique identifiers allows each block's history to be monitored. This maintains each transaction and the validators who checked the block to ensure trustworthiness and honesty. We constructed a digital version that stays in sync with the distributed ledger as all nodes are linked by a NodeChain. The ledger is distributed without compromising node autonomy. Moreover, FlexiChain Layer 0 distributed ledger is also introduced and can connect and validate Layer 1 blockchains. This project produced a DAG-based blockchain integration platform with hardware security. The results illustrate a practical technique …

The historical success of friction stir welding (FSW) on materials such as aluminum and magnesium alloys is associated with the absence of melting and solidification during the solid-state process. However, commercial adoption of FSW on steels and other non-ferrous high-strength, high-temperature materials such as nickel-base and titanium-base alloys is limited due to the high costs associated with the process. In this dissertation, the feasibility of using an FSW approach to fabricate certain structural components made of nitrogen containing austenitic stainless steels that go into the vacuum vessel and magnetic systems of tokamak devices was demonstrated. The FSW weldments possessed superior application-specific mechanical and functional properties when compared to fusion weldments reported in the technical literature. However, as stated earlier, the industrial adoption of FSW on high temperature materials such as the ferrous alloys used in the present study is greatly limited due to the high costs associated with the process. The cost is mainly dictated by the high temperature FSW tools used to accomplish the weldments. Commercially available high temperature FSW tools are exorbitantly priced and often have short lifetimes. To overcome the high-cost barrier, we have explored the use of integrated computational materials engineering (ICME) combined with experimental prototyping …

Within this research study, a qualitative phenomenological approach was used to explore the lived experiences of Black master's students (n = 10) who engage in mentorship in CACREP-accredited counselor education programs. The participants in this study represent different ACES regions in the United States, including SACES, NARACES, and NCACES. Six themes were discovered as a result of participants' experiences: (a) impact of mentorship, (b) benefits of mentorship, (c) qualities within mentoring relationships, (d) composition of mentoring relationships, (e) saliency and influence of identity, and (f) barriers to mentorship and program satisfaction. Furthermore, I offer suggestions for increasing support for Black master's students in counseling programs as well as recommendations for supporting the professional and personal development of this population.

AI-enabled information systems (AI-enabled IS) offer enhanced utility and efficiency due to their knowledge-based endowments, enabling human agents to assign and receive tasks from AI-enabled IS. As a result, this leads to improved decision-making, ability to manage laborious jobs, and a decrease in human errors. Despite the performance-based endowments and efficiencies, there are significant ethical concerns regarding the use of and delegation to AI-enabled IS, which have been extensively addressed in the literature on the dark side of artificial intelligence (AI). Notable concerns include bias and discrimination, fairness, transparency, privacy, accountability, and autonomy. However, the Information Systems (IS) literature does not have a delegation framework that incorporates ethics in the delegation mechanism. This work seeks to integrate a mixed deontological-teleological ethical system into the delegation mechanism to (and from) AI-enabled IS. To that end, I present a testable model to ethically appraise various AI-enabled IS as well as ethically evaluate delegation to (and from) AI-enabled IS in various settings and situations.

Social media is considered a particularly conducive arena for hate speech. Counter speech, which is a "direct response that counters hate speech" is a remedy to address hate speech. Unlike content moderation, counter speech does not interfere with the principle of free and open public spaces for debate. This dissertation focuses on the (a) automatic detection and (b) analyses of the effectiveness of counter speech and its fine-grained strategies in user-generated web content. The first goal is to identify counter speech. We create a corpus with 6,846 instances through crowdsourcing. We specifically investigate the role of conversational context in the annotation and detection of counter speech. The second goal is to assess and predict conversational outcomes of counter speech. We propose a new metric to measure conversation incivility based on the number of uncivil and civil comments as well as the unique authors involved in the discourse. We then use the metric to evaluate the outcomes of replies to hate speech. The third goal is to establish a fine-grained taxonomy of counter speech. We present a theoretically grounded taxonomy that differentiates counter speech addressing the author of hate speech from addressing the content. We further compare the conversational outcomes of …

In this study, we investigate the fundamental mechanisms defining the approach for addressing tribological challenges in mechanical systems via the use of the tribocatalytically active coating. The coating is designed using an electrodeposition process and consists of a hard amorphous cobalt-phosphorous matrix with the incorporation of tribocatalytically-active nickel and copper. Our focus is on understanding the effect of the tribocatalytic elements, Cu vs Ni, on the coating's performance in high-contact stress conditions, generating local heating, shear, and compression. By optimizing the relative composition and mechanical characteristics of the coating, we aim to enhance its tribological performance in the presence of a hydrocarbon environment. Through extensive characterization of the wear tracks using SEM/EDS and Raman analyses, we identify the formation of a protective carbon-based tribofilm on the coating's surface during sliding as the key factor behind its excellent performance. Our findings not only contribute to the understanding of material transformations in the contact but also offer a robust and versatile approach to addressing tribological challenges in mechanical systems. The development of this innovative coating opens up new possibilities for promoting the formation of protective tribofilms and improving the performance of mechanical components operating in low-viscosity fuels and synthetic oils.

Beneficial consumer outcomes are most likely when behavior-analytic interventions are implemented with high procedural fidelity (i.e., degree to which the procedure is implemented as intended). Video self-monitoring, which involves teaching staff members to monitor their own procedural fidelity when watching recordings of themselves, can be used to improve and maintain high procedural fidelity, but video self-monitoring requires additional staff time and resources. In-vivo self-monitoring, which involves monitoring procedural fidelity during or immediately following implementing a behavior-analytic intervention, could be a cost-effective option. However, in-vivo self-monitoring needs additional research to understand its effects on procedural fidelity. This current study analyzed the effects of in-vivo self-monitoring on the procedural fidelity of three behavior technicians implementing discrete trial instruction with children with autism. We used a nonconcurrent multiple baseline across participants design to teach participants how to score their procedural fidelity during their discrete trial instruction session. Data suggested that in-vivo self-monitoring was effective for two out of three participants, and those two participants were more likely to be accurate in their self-scored procedural fidelity. Procedural fidelity for the third participant did not increase with in-vivo or video self-monitoring, and the third participant was less likely to be accurate in their self-scored procedural …

Extant research on technology adoption provides limited insights into the extent of technology penetration into an organization's work routines, especially in collaborative efforts across supply chains. Further research is required to delve into the broader scope of permanent technology-based solutions that effectively tackle specific issues within the supply chain. This dissertation examines blockchain through three essays to fill these research gaps and contributes to blockchain-based supply chain collaboration and performance literature. Essay 1 examines supply chain behavioral drivers of blockchain assimilation by grounding the hypotheses on social network theory. Findings indicate that supply chain learning, collaboration, and network prominence will affect blockchain assimilation through a cross-sectional survey of supply chain professionals familiar with blockchain. It provides psychometrically validated scales for blockchain assimilation and network prominence, adding to the blockchain literature. Essay 2 builds on institutional theory to argue that peripheral organizations in the blockchain-based network will succumb to institutional pressures and that blockchain principles will require them to play crucial roles in supply chain collaboration efforts to gain legitimacy. By adopting a multi-method approach of a vignette-based experiment and a survey, the findings help supply chain collaboration practitioners manage institutional pressures across emerging blockchain-based systems, particularly for organizations in the …

The purpose of this dissertation was to understand and compare the effect of training non-native English Speaking (NNES) learners (N = 480) in two distinct learning environments, (i) traditional face-to-face and (ii) online synchronous hybrid learning (SHL). In the traditional training mode, NNES learners (n = 360) were trained by NNES voice and accent (VANC) trainers in a physical, face-to-face setting. In the second, CAPT+SHL training mode, the NNES learners were trained by NNES VANC trainers with the help of a native-English computer-assisted pronunciation training (CAPT) tool in an online SHL environment. Factor analysis, higher-order factor analysis, hierarchical cluster analysis, and multidimensional scaling yielded a reliable scale, Eddie's Voice Test (EVT). Multiple regression yielded a predictive model between NNES pronunciation and their performance. In addition, the CAPT+SHL training mode produced higher scores on pronunciation and performance than the traditional training mode, suggesting a combination of NES and NNES VANC instructors are more effective in training NNES learners than NNES instructors by themselves. The case study (n = 3) on VANC trainers' perception of CAPT and SHL yielded three themes: (1) challenges with synchronous hybrid learning (sub-themes include physical challenges, social challenges, and cognitive challenges); (2) computer-assisted pronunciation training (CAPT) impact …

Linguistic racism is faced by non-native customers due to their different language style when they go through the service exchange process. Despite its prevalence and importance, there is a dearth of research about linguistic racism in the marketing literature, especially from consumers' perspectives. This dissertation thus aims to address this gap by focusing on consumers' cognitive and affective responses as a result to their linguistic racism experiences when they interact with service employees (native speakers) from the host country. Toward this goal, first (Essay 1), a qualitative study is performed to anchor the dissertation in the customers' real-life experiences and to help identify key associated themes which are further empirically examined (Essay 2 & 3) in this three-essay format dissertation. Essay 2 empirically investigates if the identity assignment through ones' language style makes customers feel stigmatized and influence their psychological well-being. In addition, how these experiences subsequently influence their inclination to use technology-mediated interfaces. Similarly, the main objective of Essay 3 was to employ a sociological perspective to examine the impact of language-based chronic social exclusion on non-native customers' psychological and behavioral responses in the marketplace. Moreover, their intention to pay higher tip as a refocusing strategy when these customers …

Secure multiparty computation refers to the problem where a number of users wish to securely compute a function on their inputs without revealing any unnecessary information. This dissertation focuses on the fundamental limits of secure summation under different constraints. We first focus on the minimal model of secure computation, in which two users each hold an input and wish to securely compute a function of their inputs at the server. We propose a novel scheme base on the algebraic structure of finite field and modulo ring of integers. Then we extend the minimal model of secure computation, in which K users wish to securely compute the sum of their inputs at the server. We prove a folklore result on the limits of communication cost and randomness cost. Then we characterized the optimal communication cost with user dropouts constraint, when some users may lose connection to the server and the server wishes to compute the sum of remaining inputs. Next, we characterize the optimal communication and randomness cost for symmetric groupwise keys and find the feasibility condition for arbitrary groupwise keys. Last, we study the secure summation with user selection, such that the server may select any subset of users to …