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The Female Bildungsroman in George R.R. Martin\u27s A Song of Ice and Fire
Get PDFThis project examines the concepts of the female bildungsroman in literature. In particular it looks at two female characters created by George R.R. Martin, the sisters, Sansa and Arya Stark. The project focuses on the characteristics of the female bildungsroman and whether or not the female bildungsroman is a valid literary concept. This has been done by examining what is a bildungsroman and is there a difference between male and female bildungsroman. The goal is to show that the female bildungsroman is valid and that Sansa and Arya are perfect examples
Rebels with a Cause: How Christopher Marlowe and William Shakespeare Subversively Challenge the Monarchy\u27s Source of Power and Other Societal Norms of Early Modern England
Get PDFThis thesis examines the ways that Christopher Marlowe and William Shakespeare use their history plays to subvert the ideals of early modern England. Writing plays about historical events gave the playwrights freedom to depict certain things on stage that would have otherwise been unacceptable, and because they had history as their source, they could show events that were parallel to the current happenings in England and make commentary on those events
Towards Real-Time Volatile Memory Forensics: Frameworks, Methods, and Analysis
Get PDFMemory forensics (or memory analysis) is a relatively new approach to digital forensics that deals exclusively with the acquisition and analysis of volatile system memory. Because each function performed by an operating system must utilize system memory, analysis of this memory can often lead to a treasure trove of useful information for forensic analysts and incident responders. Today’s forensic investigators are often subject to large case backlogs, and incident responders must be able to quickly identify the source and cause of security breaches. In both these cases time is a critical factor. Unfortunately, today’s memory analysis tools can take many minutes or even hours to perform even simple analysis tasks. This problem will only become more prevalent as RAM prices continue to drop and systems with very large amounts of RAM become more common. Due to the volatile nature of data resident in system RAM it is also desirable for investigators to be able to access non-volatile copies of system RAM that may exist on a device’s hard drive. Such copies are often created by operating systems when a system is being suspended and placed into a power safe mode.
This dissertation presents work on improving the speed of memory analysis and the access to non-volatile copies of system RAM. Specifically, we propose a novel memory analysis framework that can provide access to valuable artifacts orders of magnitude faster than existing tools. We also propose two new analysis techniques that can provide faster and more resilient access to important forensic artifacts. Further, we present the first analysis of the hibernation file format used in modern versions of Windows. This work allows access to evidence in non-volatile copies of system RAM that were not previously able to be analyzed. Finally, we propose future enhancements to our memory analysis framework that should address limitations with the current design. Taken together, this dissertation represents substantial work towards advancing the field of memory forensics
Community Corridors Bright Futures: Old Algiers Main Street, Department of Planning and Urban Studies, University of New Orleans
Get PDFLocated just across the river from the French Quarter, Old Algiers is the second oldest neighborhood in New Orleans and is just fifteen minutes from downtown. Since the 1960s, the neighborhood has suffered from disinvestment and lost residents, jobs, and commercial activity, while the proportion of vacant and underutilized lots has grown. Because it did not flood during Hurricane Katrina, Old Algiers did not benefit from many of the public and private resources that helped rebuild and re-energize other parts of the city. Currently, its proximity to downtown, relatively affordable real estate, and rich cultural history make it a prime candidate for new investment and development. However, the Old Algiers Main Street Corporation (OAMSC) has recognized that without guidance from the community, development may not fit the scale, character, and culture of the neighborhood. OAMSC - focusing on the commercial corridors of Newton and Teche Streets - is attempting to strike the balance between encouraging reinvestment in the area and causing displacement of long-time residents and/or changing the character of Old Algiers
Social norms and stock trading
Get PDFThe dissertation consists of two essays. In the first essay we compare the performance of Islamic and conventional stock returns in Saudi Arabia in order to determine whether the Saudi market exhibits characteristics that are consistent with segmented markets and investor recognition effects. We sample the daily stock returns of all Saudi firms from September 2002 to 2015 and calculate important measures, including idiosyncratic volatility (Ang et al, 2006), market integration (Pukthuanthong and Roll, 2009), systematic turnover (Loughran and Schultz, 2005), and stock turnover and liquidity (Amihud, 2002). Integration tests report that Islamic stocks are more sensitive to changes in global and local macroeconomic variables than conventional stocks, supporting the hypothesis that the Islamic and conventional stock markets are segmented in Saudi Arabia. In addition, our results show that Islamic stocks have larger number of investors, lower idiosyncratic risk, higher systematic turnover, and more liquid than conventional stocks, which supports the investor recognition hypothesis. Our results provide new evidence on asset pricing in emerging markets, the evolving Islamic financial markets, and the potential impact of other implicit market barriers on global financial markets. In the second essay we examine the effects of shared beliefs and personal preferences of individual investors on their trading and investment decisions. We anticipate that the process of classifying stocks into Shariah compliant (Islamic) and non-shariah compliant (conventional) has an effect on investibility and acceptance of the stock especially by unsophisticated or individual investors. The wide acceptance of Islamic stocks between individual investors promote and facilitate the circulation of firm-specific information between certain groups of investors. Our results indicate that stock classification has an effect on the stock price comovement through increased stock trading correlation between the groups of Islamic investors. The commonality in preferences between Islamic stocks’ holders generate commonality in trading activity and in stock liquidity. We find that classifying a stock as an Islamic stock increases its price comovement with other Islamic stocks and also increases its commonality in liquidity
The New Orleans Fight Against Gun Violence
Get PDFGun violence in New Orleans has grown exponentially over the years. As a society we often forget to reflect on how gun violence effects the youth in our communities. Local members of the community in New Orleans have decided to come together to form organizations that can produce better outcomes for the youth in the New Orleans area, two of those organizations being Son of A Saint and the Youth Empowerment Project. Both of these organizations have started the journey to decreasing the amount of gun violence in the city
Forensic Analysis of G Suite Collaborative Protocols
Get PDFWidespread adoption of cloud services is fundamentally changing the way IT services are delivered and how data is stored. Current forensic tools and techniques have been slow to adapt to new challenges and demands of collecting and analyzing cloud artifacts. Traditional methods focusing only on client data collection are incomplete, as the client may have only a (partial) snapshot and misses cloud-native artifacts that may contain valuable historical information.
In this work, we demonstrate the importance of recovering and analyzing cloud-native artifacts using G Suite as a case study. We develop a tool that extracts and processes the history of Google Documents and Google Slides by reverse engineering the web applications private protocol. Combined with previous work that has focused on API-based acquisition of cloud drives, this presents a more complete solution to cloud forensics, and is generalizable to any cloud service that maintains a detailed log of revisions
Combating Stress with Yoga: A Theoretical Model of Self-Regulation
Get PDFExposure to environmental stressors may challenge children’s developing self-regulatory abilities and increase their risk of developing emotional and behavior problems. Interventions aimed at improving children’s self-regulatory skills, specifically emotion regulation and attentional control, may reduce children’s risk for adjustment problems. The present study proposed a novel theoretical model which describes how participation in yoga may increase children’s self-regulatory skills and increase children’s mindfulness, or the ability to focus attention on the present moment. Both self-regulation and mindfulness were expected to be associated with fewer anxiety problems. Components of the theoretical model were evaluated using a very small sample of at-risk, elementary-aged children who participated in a school-based yoga program. Consistent with expectations, emotion regulation was statistically and significantly associated with better mindfulness and less anxiety; attentional control was associated with fewer anxiety problems. Contrary to expectations, attentional control was unrelated to mindfulness. Moreover, mindfulness did not interact with either attentional control or emotion regulation to predict anxiety. Results are discussed in terms of theoretical implications and critical next steps needed to evaluate yoga as a potential tool for reducing children’s risk for problem behavior by way of strengthening self-regulatory mechanisms
