Positive memories play an important role in the etiology and maintenance of posttraumatic stress disorder (PTSD). Additionally, there are potential clinical benefits of recalling positive memories on affect, cognitions, and behaviors. However, most research/clinical work has focused on the role of traumatic memories in PTSD's symptomatology and treatment. The current study examined positive memory recall difficulties and positive memory phenomenology among 185 trauma-exposed individuals with varying PTSD severity. Participants completed the Life Events Checklist for DSM-5, PTSD Checklist for DSM-5, Autobiographical Memory Test, Memory Experiences Questionnaire – Short Form, Ruminative Thought Style Questionnaire, Difficulties in Emotional Regulation Scale – Brief 16-Item Version, Difficulties in Emotional Regulation Scale – Positive Emotions, the Positive Affect subscale of the Affective Control Scale, and two items from the Pittsburg Sleep Quality Index. Results showed that (1) greater PTSD severity was a marginally significant predictor of fewer recalled positive memories; (2) greater positive emotional dysregulation predicted fewer recalled positive memories controlling for PTSD severity; and (3) increasing PTSD severity predicted more negative valence, less vividness, less coherence, less accessibility, less clear time perspective, fewer sensory details, and greater distancing ratings of the recalled positive memory, controlling for sleep quantity/quality. Such findings add to the PTSD-positive …

An interrogation of male behavior in isolated masculine spaces through short stories, an essay, and chapters from a novel-in-progress.

A functional analysis (FA) is the most commonly used assessment methodology for identifying maintaining variables influencing problem behavior. However, if an FA does not produce clear differentiation, researchers and practitioners often then modify procedures to include additional individualized variables. The interview-informed synthesized contingency analysis (IISCA) provides a marked departure from FA methodology and aims to include individualized factors at the initiation of the assessment in order to more rapidly produce differentiation and clear results. We sought to further evaluate and compare the outcomes of two different functional analysis methods: the single-contingency functional analysis (FA) and the interview-informed synthesized contingency analysis (IISCA) to determine the function of problem behavior and evaluate the subsequent function-based treatment determined from the functional analysis results with two children diagnosed with autism spectrum disorder (ASD). Both participants engaged in problem behavior maintained by single-contingencies of reinforcement identified within the single-contingency FA and emphasized by the effectiveness of each single-contingency function-based treatment.

Since the adoption of neoliberalism, many cities have taken to integrating nature with capital accumulation to create a sense of place. This has been closely tied to urban greening, or green "revitalization." As part of curating this desired character, city governments are working to roll out plans to restore and renew neighborhoods using their natural landscapes through methods such as reforestation, the creation of parks, and commercial development. These cities, deemed Entrepreneurial cities, are increasingly incorporating natural or green spaces into their development of character as part of their branding schemes. This research focuses on the role of nature as the site of economic development and community revitalization within Dallas, Texas. This research examines how the City of Dallas uses nature to attract capital, and how the narratives of development relate to residents' visions for development in the historically neglected Joppa neighborhood in the Trinity River Corridor. Development near Joppa could be an example of how the natural landscape is being used to not only attract developers but also to bring a different ‘class' of resident into the area. By exploring this intersection of nature and capital in Dallas, we can better understand the nuanced ways through which the neoliberalization …

If mania and depression are part of the same pathological processes, one would predict that episodes of one prospectively increase the odds of episodes of the other. The aim of the present study was to test this hypothesis. For comparison purposes, their relationship was contrasted to the relationship between mania and periods of psychosis. Exploratory analyses also tested the degree to which episodes of each occur with greater frequency over time (i.e., kindling). Participants for the present study came from the Suffolk County Mental Health Project (N = 628), a study of first-admission patients with psychosis. Of these participants, 144 met diagnostic criteria for bipolar I disorder and were analyzed for the current study. Results indicated that mania in a given month predicted depression the following month, even after controlling for other symptoms. The reverse, however, was not the case. Mania and psychosis, in contrast, were found to be robust predictors of one another from month to month. Effects were not due to treatment or demographic differences. These findings provide evidence that mania and depression are weakly related. In contrast, mania and psychosis are more closely linked. Findings are consistent with suggestions that psychiatric nosology regroup mania more closely with …

Daytime cognitive performance and sleep/wake cycles are strongly interrelated, and cognitive dysfunction has been extensively investigated in relation to insomnia. However, methods and outcomes vary widely by study, making comparison difficult without more systematic evaluation. Review of the literature reveals discrepant findings for the relationship between both subjective and objective measures of cognitive performance and insomnia. The current meta-analysis included 42 studies investigating the relationship between insomnia and cognitive performance. Results confirmed the discrepant nature of previous findings and suggest that type of cognitive performance (e.g., simple attention, procedural memory, verbal functions) is important to consider when discussing the impact of insomnia. Mixed-effect meta-analysis of aggregate effect sizes suggest impairments in working memory, complex attention, and episodic memory are significantly associated with insomnia. Analysis of the grouped subjective cognitive performance effect size revealed no significant impact of insomnia. Average age and gender makeup of the sample, study quality, and type of insomnia measure (i.e., clinical or diagnostic criteria, validated scale, or single unvalidated item) did not consistently moderate findings. These results confirm the equivocal nature of the relationship between insomnia and cognitive performance. Overall, about 44% of the studies included in the analysis failed to use DSM or ICSD criteria …

Consumer's opinions and sentiments on products can reflect the performance of products in general or in various aspects. Analyzing these data is becoming feasible, considering the availability of immense data and the power of natural language processing. However, retailers have not taken full advantage of online comments. This work is dedicated to a solution for automatically analyzing and summarizing these valuable data at both product and category levels. In this research, a system was developed to retrieve and analyze extensive data from public online resources. A parallel framework was created to make this system extensible and efficient. In this framework, a star topological network was adopted in which each computing unit was assigned to retrieve a fraction of data and to assess sentiment. Finally, the preprocessed data were collected and summarized by the central machine which generates the final result that can be rendered through a web interface. The system was designed to have sound performance, robustness, manageability, extensibility, and accuracy.

Has years of citizen-based nutrient sampling and baseline water quality monitoring efforts only had a "trivial" impact on natural resource management decisions? This thesis will explore this and other findings from a qualitative evaluation of the Rock River Coalition (RRC) citizen-based stream monitoring project in Dane County, Wisconsin, USA. These findings are the culmination of 47 semi-structured interviews with decision-makers from seven client-identified categories and participant observations of board meetings and other watershed groups. Interview questions focused on current strategies of data design and dissemination with the goal of constructing a clearer picture of existing data usage by Dane County decision-makers. In the wider picture of citizen science and community-based research, this case study aims to highlight barriers to data use and potential solutions. The results of this case study were understood through four key frames: (1) Bourdieu's concept of symbolic capital, (2) Barzilai‐Nahon's theory of network gatekeeping, (3) Newman et al.'s framework for leveraging the power of place, and (4) a Foucauldian approach to the production of scientific knowledge. The findings of this study highlight the presence of gatekeeping mechanisms within the scientific field as well as government institutions, problematize the practice of placemaking, assert there is untapped symbolic …

Deep reinforcement learning is an area of research that has blossomed tremendously in recent years and has shown remarkable potential in computer games. Real-time strategy game has become an important field of artificial intelligence in game for several years. This paper is about to introduce a kind of algorithm that used to train agents to fight against computer bots. Not only because games are excellent tools to test deep reinforcement learning algorithms for their valuable insight into how well an algorithm can perform in isolated environments without the real-life consequences, but also real-time strategy games are a very complex genre that challenges artificial intelligence agents in both short-term or long-term planning. In this paper, we introduce some history of deep learning and reinforcement learning. Then we combine them with StarCraft. PPO is the algorithm which have some of the benefits of trust region policy optimization (TRPO), but it is much simpler to implement, more general for environment, and have better sample complexity. The StarCraft environment: Blood War Application Programming Interface (BWAPI) is open source to test. The results show that PPO can work well in BWAPI and train units to defeat the opponents. The algorithm presented in the thesis is …

Training autonomous agents that are capable of performing their assigned job without fail is the ultimate goal of deep reinforcement learning. This thesis introduces a dueling Quantile Regression Deep Q-network, where the network learns the state value quantile function and advantage quantile function separately. With this network architecture the agent is able to learn to control simulated robots in the Gazebo simulator. Carefully crafted reward functions and state spaces must be designed for the agent to learn in complex non-stationary environments. When trained for only 100,000 timesteps, the agent is able reach asymptotic performance in environments with moving and stationary obstacles using only the data from the inertial measurement unit, LIDAR, and positional information. Through the use of transfer learning, the agents are also capable of formation control and flocking patterns. The performance of agents with frozen networks is improved through advice giving in Deep Q-networks by use of normalized Q-values and majority voting.

This study focuses on the transgender community's presence and portrayal in advertisements that reach a broad, mainstream audience base. Through a mixed-methods use of focus groups and qualitative content analysis, the content, context, and framings of ads between the years 2015 and 2018 are explored to illustrate current portrayals of the trans community and how the industry is approaching this subcultural group. Its findings contribute to advertising research by exploring current trends in trans portrayals in the cultural context they exist. Because trans advertising in both LGBTQ+ publications and to mainstream audience is largely unexplored, this study seeks to begin a conversation among advertising professionals. The main objective is to ultimately improve the number of genuine, positive portrayals of trans people in advertising and hold the industry accountable for the role they play in serving this community.

This study examined the relationship between time of exposure to the human face and accurate subsequent photo line-up identification. A volunteer group of 124 undergraduate students was divided into three approximately equal sized subgroups. The three groups were then exposed to a video or a portion of a video depicting a theft. Exposure times ranged from two minutes to 30 seconds. The subjects were then given a questionnaire and shown a photo line-up of the mock perpetrator and five foils. Subjects were asked to identify the perpetrator and mark that identification on the questionnaire. Results of the experiment indicated that the longer a subject was exposed the greater the possibility of an accurate identification.

Recent research found insomnia is a risk factor for psychiatric disorders in adults. To see if the same would be true in adolescents, the current study re-analyzed data from a national longitudinal study collected by ADDHealth that evaluated health behaviors in 4552 adolescents (mean age 14.9 years [SD 1.7]) at baseline and again 7-8 years later (n = 3489) during young adulthood. Insomnia was reported by 9.2% of the adolescents. Cross-sectionally, adolescent insomnia was associated with alcohol, cannabis, non-cannabis drugs, and tobacco use, and depression after controlling for gender and ethnicity. Prospectively, adolescent insomnia was a significant risk factor for depression diagnosis, suicidal ideation, and the use of depression and stress prescription medications in young adulthood after controlling for gender, ethnicity, and significant baseline variable. In addition, a trend was noted for suicidal attempts.

The thesis has two parts. Part I is a critical essay entitled "Lessons Under the Amfalula." Part II is the collection of poems entitled "Animals That Die."

This paper presents the lives and early feminist works of two modernist era poets, Laura Riding Jackson and Muriel Rukeyser. Despite differences of style, the two poets shared a common theme of essentialist feminism before its popularization by 1950s and 60s second wave feminists. The two poets also endured periods of poetic silence or self censorship which can be attributed to modernism, McCarthyism, and rising conservatism. Analysis of their poems helps to remedy their exclusion from the common canon.

In the world of VLSI (very large scale integration) technology, there are many different types of circuit simulators that are used to design and predict the circuit behavior before actual fabrication of the circuit. In this thesis, I compared and evaluated existing circuit simulators by considering standard benchmark circuits. The circuit simulators which I evaluated and explored are Ngspice, Tclspice, Winspice (open source) and Spectre® (commercial). I also tested standard benchmarks using these circuit simulators and compared their outputs. The simulators are evaluated using design metrics in order to quantify their performance and identify efficient circuit simulators. In addition, I designed a sigma-delta modulator and its individual components using the analog behavioral language Verilog-A. Initially, I performed simulations of individual components of the sigma-delta modulator and later of the whole system. Finally, CMOS (complementary metal-oxide semiconductor) transistor-level circuits were designed for the differential amplifier, operational amplifier and comparator of the modulator.

A novel scheme of optimizing the individual components of a phase locked loop (PLL) which is used for stable clock generation and synchronization of signals is considered in this work. Verilog-A is used for the high level system design of the main components of the PLL, followed by the individual component wise optimization. The design of experiments (DOE) approach to optimize the analog, 45nm voltage controlled oscillator (VCO) is presented. Also a mixed signal analysis using the analog and digital Verilog behavior of components is studied. Overall a high level system design of a PLL, a systematic optimization of each of its components, and an analog and mixed signal behavioral design approach have been implemented using cadence custom IC design tools.

The tetraruthenium cluster H4Ru4(CO)12 has been studied for its reactivity with the unsaturated diphosphine ligands (Z)-Ph2PCH=CHPPh2, 4,5-bis (diphenylphosphino)-4-cyclopenten-1,3-dione, bis(diphenyphosphino)benzene and 1,8- bis(diphenyl phosphino)naphthalene under thermal, near-UV photolysis, and Me3NO-assisted activation. All three cluster activation methods promote loss of CO and furnish the anticipated substitution products that possess a chelating diphosphine ligand. Clusters 1, 2, 3 and 4 have been characterized in solution by IR and NMR spectroscopies, and these data are discussed with respect to the crystallographically determined structures for all new cluster compounds. The 31P NMR spectral data and the solid-state structures confirm the presence of a chelating diphosphine ligand in all four new clusters. Sealed NMR tubes containing clusters 1, 2, 3 and 4 were found to be exceeding stable towards near-UV light and temperatures up to ca. 100°C. The surprisingly robust behavior of the new clusters is contrasted with the related cluster Ru3(CO)10(bpcd) that undergoes fragmentation to the donor-acceptor compound Ru2(CO)6(bpcd) and the phosphido-bridged compound Ru2(CO)6 (µ-PPh2)[µ-C=C(PPh2)C(O)CH2C(O)] under mild conditions. The electrochemical properties have been investigated in the case of clusters 1 and 2 by cyclic voltammetry, and the findings are discussed with respect to the reported electrochemical data on the parent cluster H4Ru4(CO)12.

A rectifier is an electrical device, comprising one or more semiconductor devices arranged for converting alternating current to direct current by blocking the negative or positive portion of the waveform. The purpose of this study would be to evaluate dynamic and static electrical characteristics of rectifier chips fabricated with (a) DY8 process and (b) YI8 process and compare them with the existing DI8 process rectifiers. These new rectifiers were tested to compare their performance to meet or exceed requirements of lower forward voltages, leakage currents, reverse recovery time, and greater sustainability at higher temperatures compared to diodes manufactured using boron as base (DI8 process diodes) for similar input variables.

The emerging interests in spatial pattern mining leads to the demand for a flexible spatial pattern mining language, on which easy to use and understand visual pattern language could be built. It is worthwhile to define a pattern mining language called LCSPM to allow users to specify complex spatial patterns. I describe a proposed pattern mining language in this paper. A visual interface which allows users to specify the patterns visually is developed. Visual pattern queries are translated into the LCSPM language by a parser and data mining process can be triggered afterwards. The visual language is based on and goes beyond the visual language proposed in literature. I implemented a prototype system based on the open source JUMP framework.

Although a change of religious landscape in America in recent years has been suggested and widely accepted in the social sciences, most studies tend to focus on measures of religiosity and how it is changing. The subject of spirituality and its correlates seem to be mostly ignored. This study utilizes nationally representative data generated for the first time in General Social Survey (GSS) on the subject of spirituality to measure Americans' spirituality and daily spiritual experiences and their most significant correlates. In this study, most Americans (89%) showed to have some degree of spirituality and daily spiritual experiences. Moreover, variables of gender, race/ethnicity, marital status, religious origin, and residence in conservative region when growing up shown to be significant predictors of spirituality.

The classifier discussed in this thesis considers the path traversed by an email (instead of its content) and reputation of the relays, features inaccessible to spammers. Groups of spammers and individual behaviors of a spammer in a given domain were analyzed to yield association patterns, which were then used to identify similar spammers. Unsolicited and phishing emails were successfully isolated from legitimate emails, using analysis results. Spammers and phishers are also categorized into serial spammers/phishers, recent spammers/phishers, prospective spammers/phishers, and suspects. Legitimate emails and trusted domains are classified into socially close (family members, friends), socially distinct (strangers etc), and opt-outs (resolved false positives and false negatives). Overall this classifier resulted in far less false positives when compared to current filters like SpamAssassin, achieving a 98.65% precision, which is well comparable to the precisions achieved by SPF, DNSRBL blacklists.

The purpose of this study was to determine the effectiveness of the implementation of an internally created performance appraisal system as well as the subjects' overall satisfaction with the implementation. The system was implemented at a major technology consulting firm in the US. The subjects of this study were three levels of employees of the firm. An employee survey conducted annually at the firm included questions relating to the implementation of the performance appraisal system. Eight years of employees' responses to three key questions were analyzed. Employees' perceptions of the appraisal feedback aiding increased performance, their belief about the implementation assisting with their career management, satisfaction with the initiative, and their understanding of the requirements for promotion were captured by this survey. Trend analysis indicates that employees at the firm perceived their career path knowledge unimproved, their understanding of promotion criteria unimproved as a result of the implementation. Employees did not indicate overall satisfaction with the implementation and the employee's belief about their skills and abilities utilization did not improve post implementation.

Sculptor Eric McGehearty incorporates dyslexia, a learning disability, into his artwork to express his challenges with his limited ability to recognize and understand the written word. The film Access Denied focuses on Eric and his disability. Recognized in 1896, dyslexia has been studied and researched by scientists and educators. New assistive technology is now available to aid dyslexics in reading and writing. Specialized schools provide techniques to improve student learning. However, some options are not readily available to the general public; therefore, information about how to deal with the disability is not easily accessed. The aims of this documentary are to raise awareness of available resources to assist with learning as well as to demonstrate a relationship between art and dyslexia.