The flow experience refers to a state characterized by complete involvement in a task. According to flow theory, the flow state is preceded by three antecedents, skill-task match, goals, and feedback. These antecedents lead to a flow state, which is exemplified by six components, merging of action and awareness, centering of attention, loss of self-consciousness, temporal distortion, sense of control, and autotelic nature. In a flow state, individuals persist on a task without regard or awareness of themselves or their surroundings. Currently, flow is a two-stage model in which the three antecedents lead to a flow state. Flow theory is severely limited as no mediating processes have been specified between flow antecedents and the flow state. The missing mediating processes in flow theory do not allow for empirically examining testable a priori predictions. Further, failure to specify a mediator brings into question the current flow antecedents and components. The aim of this study was to recast flow theory within a self-regulation framework to ameliorate these issues. I borrow from the self-regulation literature and propose that “feeling right” mediates the relationship between flow antecedents and components. Feeling right is a positive cognitive experience that arises from successful regulatory fit. I further posit that the antecedents of flow are the antecedents of feeling right, motivational orientation and goal pursuit strategies. Finally, I propose that the flow state only be characterized by four components, merging of action and awareness, centering of attention, loss of self-consciousness, and temporal distortion. Thus, in my revised model of flow, alignment between motivational orientation and goal pursuit will lead to feeling right, which will then lead to a flow state, characterized by the four aforementioned components. A secondary goal of this study was to examine the relationship between flow and task performance. I hypothesized that individuals in a state of regulatory fit would experience flow, operationalized by intense concentration, time distortion, and loss of self-consciousness. I further hypothesized that flow would mediate the relationship between regulatory fit and performance and that type of fit would influence performance quality or quantity. I utilized an experiment design to test this revised flow model in the context of a computer game. A path model was conducted to test these predictions. Results revealed that individuals in a state of regulatory fit exhibited greater time distortion and loss of self-consciousness. However, flow did not mediate the relationship between fit and performance. Based on these results, flow can successfully be applied to a self-regulatory framework. There is initial evidence that motivational orientation and goal pursuit, i.e., regulatory fit, are causal antecedents to a flow state. There was stronger evidence for the relationship between regulatory fit and flow when behavioral flow indicators were used. Future research should focus on identifying behavioral flow indicators and continue to explore the flow construct within a self-regulatory framework. / Ph. D.

Splicing regulatory elements (SREs) are short, degenerate sequences on pre-mRNA molecules that enhance or inhibit the splicing process via the binding of splicing factors, proteins that regulate the functioning of the spliceosome. Existing methods for identifying SREs in a genome are either experimental or computational. This work tackles the limitations in the current approaches for identifying SREs. It addresses two major computational problems, identifying variable length SREs utilizing a graph-based model with de Bruijn graphs and discovering co-occurring sets of SREs (combinatorial SREs) utilizing graph mining techniques. In addition, I studied and analyzed the effect of alternative splicing on tissue specificity in human. First, I have used a formalism based on de Bruijn graphs that combines genomic structure, word count enrichment analysis, and experimental evidence to identify SREs found in exons. In my approach, SREs are not restricted to a fixed length (i.e., k-mers, for a fixed k). Consequently, the predicted SREs are of different lengths. I identified 2001 putative exonic enhancers and 3080 putative exonic silencers for human genes, with lengths varying from 6 to 15 nucleotides. Many of the predicted SREs overlap with experimentally verified binding sites. My model provides a novel method to predict variable length putative regulatory elements computationally for further experimental investigation. Second, I developed CoSREM (Combinatorial SRE Miner), a graph mining algorithm for discovering combinatorial SREs. The goal is to identify sets of exonic splicing regulatory elements whether they are enhancers or silencers. Experimental evidence is incorporated through my graph-based model to increase the accuracy of the results. The identified SREs do not have a predefined length, and the algorithm is not limited to identifying only SRE pairs as are current approaches. I identified 37 SRE sets that include both enhancer and silencer elements in human genes. These results intersect with previous results, including some that are experimental. I also show that the SRE set GGGAGG and GAGGAC identified by CoSREM may play a role in exon skipping events in several tumor samples. Further, I report a genome-wide analysis to study alternative splicing on multiple human tissues, including brain, heart, liver, and muscle. I developed a pipeline to identify tissue-specific exons and hence tissue-specific SREs. Utilizing the publicly available RNA-Seq data set from the Human BodyMap project, I identified 28,100 tissue-specific exons across the four tissues. I identified 1929 exonic splicing enhancers with 99% overlap with previously published experimental and computational databases. A complicated enhancer regulatory network was revealed, where multiple enhancers were found across multiple tissues while some were found only in specific tissues. Putative combinatorial exonic enhancers and silencers were discovered as well, which may be responsible for exon inclusion or exclusion across tissues. Some of the enhancers are found to be co-occurring with multiple silencers and vice versa, which demonstrates a complicated relationship between tissue-specific enhancers and silencers. / Ph. D.

Macrophage migration, an essential component of many biological processes and pathologic conditions, is mediated by integrated cellular signaling processes and cytoskeleton rearrangement. Recent advances indicate that the innate immunity signaling process plays a key role in the regulation of macrophage migration. Furthermore, our lab has provided evidence demonstrating the involvement of a key innate immunity signaling kinase, IRAK-1, as a critical modulator of murine macrophage migration. Macrophage migration induced by a potent PKC activator, phorbol 12-myristate 13-acetate (PMA), or lipopolysaccharide (LPS) was significantly decreased in IRAK-1-/- murine macrophages compared with wild type cells. Mechanistically, we first demonstrated that IRAK-1 works downstream of PKCε and directly binds to VASP, a cytoskeleton regulatory protein, to regulate PMA-induced macrophage migration. Secondly, we proved that IRAK-1 is required for LPS-induced macrophage migration and expression of MCP-1, a chemotactic cytokine for macrophages, via transcription factor C/EBPδ instead of NFκB. IRAK-1 binds directly to IKKε and inhibition or knock-down of IKKε results in a significant decrease in C/EBPδ expression and MCP-1 mRNA expression. Lastly, we identified the direct association between IRAK-1 and Rac1, a member of the Rac subfamily in the Rho family of GTPases. These finding further confirmed the essential role of IRAK-1 during macrophage migration. Our research provides a novel facet regarding the molecular signaling processes regulating macrophage migration. / Ph. D.

Modeling of cis-elements in the upstream regions of genes is a challenging computational problem. A set of regulatory motifs present in the promoters of a set of genes can be modeled by a biclique. Combinations of cis-elements play a vital role in ascertaining that the correct co-action of transcription factors binding to the gene promoter, results in appropriate gene expression in response to various stimuli. Geometrical and spatial constraints in transcription factor binding also impose restrictions on order and separation of cis-elements. Not all regulatory elements that coexist are biologically significant. If the set of genes in which a set of regulatory elements co-occur, are tightly correlated with respect to gene expression data over a set of treatments, the regulatory element combination can be biologically directed. The system developed in this work, XcisClique, consists of a comprehensive infrastructure for annotated genome and gene expression data for Arabidopsis thaliana. XcisClique models cis-regulatory elements as regular expressions and detects maximal bicliques of genes and motifs, called itemsets. An itemset consists of a set of genes (called a geneset) and a set of motifs (called a motifset) such that every motif in the motifset occurs in the promoter of every gene in the geneset. XcisClique differs from existing tools of the same kind in that, it offers a common platform for the integration of sequence and gene expression data. Itemsets identified by XcisClique are not only evaluated for statistical over-representation in sequence data, but are also examined with respect to the expression patterns of the corresponding geneset. Thus, the results produced are biologically directed. XcisClique is also the only tool of its kind for Arabidopsis thaliana, and can also be used for other organisms in the presence of appropriate sequence, expression, and regulatory element data. The web-interface to a subset of functionalities, source code and supplemental material are available online at http://bioinformatics.cs.vt.edu/xcisclique. / Master of Science

Regulatory fit (Higgins 2000) has, thus far, only been tested using regulatory focus theory (Cesario, Higgins, & Scholer, 2008); this study contributes to the current literature by testing the generality of the fit principle using goal orientation. I will test the effect of fit on corrective feedback utilization. I predict that experiencing regulatory fit between goal orientation and goal pursuit strategies will lead to: 1) higher behavioral utilization of feedback, and 2) feedback recall. Self-monitoring will be included as an exploratory variable to assess whether level of self-monitoring will affect the aforementioned outcomes. Results indicated that individuals experiencing regulatory fit between goal orientation and feedback framing exhibited greater variety and frequency of feedback recommended behaviors overall. No fit effects were found for feedback recall. Self-monitoring was not impacted by goal orientation or feedback framing. / Master of Science

This study is designed to examine how much of an impact crisis or the perception of a crisis might have on Congressional policy making for private electric utilities and how the Federal Energy Regulatory Commission (FERC) reacts to Congressional action or inaction in such cases. Also, where appropriate the influence and impact of other actors in the different crises are mentioned. The first set of findings came from the era running from 1977 to 1986 as FERC was created by Congress in 1977 to address in part the stagflationary crisis of the 1970s of which electric utilities played an important role. Next, the Congressional response to the Gulf War and FERC's reaction to it is analyzed as in that case legislators were reacting to the perception that another energy driven economic crisis in the U.S. might occur as happened after the OPEC oil embargo of 1973. Finally, the study examines the Congressional response and FERC's reaction to the Midwest price spike, the California electricity crisis, the Northeast blackout of 2003, and the financial decline of electric utilities nationally due to the failures of wholesale electricity market restructuring. Modern technology driven societies like the U.S. need access to vast supplies of cheap reliable electricity to run everything from computer systems to public sanitation systems. Most of that electricity in the U.S. is provided by private electric utilities. As a result, this study focuses primarily on federal public policies, created by Congress and implemented by FERC, related to private utilities. Yet, despite the importance of electricity to contemporary societies, public affairs scholarship has generally not addressed this issue. In order to probe the impact of Congress and FERC, I examine interconnected events and actions that take place at different points in time to determine what influence, if any, these organizations have had. Crisis seems to be the primary causal mechanism pushing Congress to act in this area of public policy. Indicators of Congressional action include hearings, proposed federal legislation, and statutes, while indicators of a response from FERC include the issuance of orders, opinions, and formal docketed decisions. / Ph. D.

The Coastal Virginia Offshore Wind (CVOW) pilot project will be only the second operating offshore wind project in the United States when it enters service later this year. This gives Virginia, a state criticized for a weak regulatory environment and environmental policy that has been slow to embrace renewable energy, an opportunity to take a leadership position in the development of this zero-carbon resource. One explanation for the CVOW project's emergence is the Diffusion of Innovation Theory (DIT), which relates the rate of adoption of novel solutions to factors such as relative advantage, compatibility, complexity, trialability and observability – all factors which play, to varying degrees, in favor of this project. Another explanation involves an inversion of Regulatory Capture Theory (RCT). RCT posits that regulated industries capture otherwise neutral regulating bodies, to the detriment of the generic public interest. Others argue that RCT underplays the degree to which regulators prioritize the interests of the regulated community over the public interest, defending a Climate of Capitulation Theory (CCT). While Virginia has recently taken an aggressively pro-wind policy position as it competes with other states to serve as a hub for the offshore wind industry and responds to voter interests in sustainability, the CVOW project problematizes RCT. It also suggests that a real-world climate of capitulation may not always work against the public interest. Judiciously combined with DIT, CCT can explain how external pressures on Virginia government, combined with internal pressures exerted by public opinion in relation to the development of the offshore wind industry, are steering 'capitulation' in directions that assist the public interest in sustainability. In the real world of energy politics, and against RCT, regulators are and have never been neutral, and therefore liable to capture. In a climate of capitulation, and setting aside other questions of the public interest, the willingness of regulators to serve the interests of the regulated community can, when taking external and internal factors into account, redound to the public interest in sustainability. / Master of Arts / Virginia has historically been criticized for a weak regulatory environment and for having environmental policies that have been slow to embrace renewable energy. Yet, the state is about to become home to just the second offshore wind project in America and plans are moving forward on a proposal to build the largest offshore wind project in North America off the Commonwealth's coast by 2026. This thesis explores the factors that led to the development of the Coastal Virginia Offshore Wind (CVOW) pilot project and how Virginia became a major player in this zero-emission clean energy resource. One explanation is provided by the Diffusion of Innovation Theory (DIT) which details how innovative solutions take hold and examines factors which can accelerate adoption rates. Another explanation is found by considering an inversion of Regulatory Capture Theory (RCT). RCT is premised on the idea that regulated industries can hold sway over the regulating bodies, often to the detriment of the generic public interest. A variation of RCT focused on Virginia environmental policy, Climate of Capitulation Theory (CCT), explains how Virginia regulators have, at times, not provided strong enough environmental protections. However, the CVOW project shows how the regulated community, policy makers and public opinion are coming together to position Virginia at the forefront of the offshore wind industry and how the willingness of regulators to serve the interests of the regulated community can serve the interests of both the public and the environment, as well.

This pre-test, post- test experiment examined the effects of mortality salience, frames of the military and military personnel, and regulatory focus on viewer attitudes toward the military, support for the military, and their perceptions of military personnel's criminal behavior. Participants viewed a short video clip from an episode of NCIS which contained either a sympathetic or non-sympathetic frame of the military and, in the treatment condition, a mortality salience reminder. Frame (sympathetic or non-sympathetic) had a significant effect on participant attitudes toward the military in the control condition when there was no mortality salience reminder present in the video clip. However, when participants' mortality was made salient, attitudes and support for the military did not change. Theoretical and practical implications and suggestions for future research are discussed. / Master of Arts

This study examined attitudes and behavioral responses to a social marketing campaign's video messages. Independent variables in the study were the regulatory framing of the campaign message, personal involvement, and collective efficacy. Results revealed main effects of both collective efficacy and personal involvement on attitude toward the brand, attitude toward the issues, and behavioral intentions. Significant interactions between collective efficacy and the regulatory frame of the video were found to affect the dependent variables. Gender was also found to significantly moderate the findings. Theoretical implications and practical implications are discussed. / Master of Arts

In each individual cell, there are many signaling pathways that may interact or cross talk with each other. Especially, some can sense the same signal and go through different pathways but eventually converge at some points. Therefore repetitive signal stimulations may result in intricate cell responses, among which the priming effect has been extensively studied in monocytes and macrophages as it plays an unambiguously crucial role in immunological protection against pathogen infection. Priming basically describes the phenomena that host cells can launch a dramatically enhanced response to the second higher dose of stimulus if cells have been previously treated with a lower dose of identical stimulus. It was reported to be associated with many human immune diseases (such as rheumatoid arthritis and hepatitis) that are attracting more and more researches on the priming effect. It is undoubtable that many genes are involved in this complicated biological process. Microarray is one of the standard techniques that are applied to do the transcriptome profiling of cells under repetitive stimuli and reveal gene regulatory networks. Therefore a well-established pipeline to analyze microarray data is of special help to investigate the underlying mechanism of priming effect. In this research, we aimed to design a strategy that can be used to interpret microarray data and to propose gene candidates that potentially participate in priming effect. To confirm our analysis results, we used a detailed mathematical model to further demonstrate the mechanism of a specific case of priming effect in a computational perspective. / Master of Science