Background: Food insecurity amongst South Asian Americans is a major public health issue. The South Asian American (SAA) community is the third largest Asian community in the United States. Despite this fact, very few specific studies have been conducted to investigate the food needs and barriers that exist within the SAA community so as to successfully help them improve dietary habits. Methods: This study utilized a mixed methods convergent parallel design, where both qualitative and quantitative methods were conducted and analyzed separately and compared and contrasted at the end. Results: The results of this study demonstrate that ethnic grocery stores were limited and scattered for the population to access them. Also, some ingredients used by the population were not available in general grocery stores and the pricing was considerably higher. Results of the focus group show that what was considered healthy in their home country would be expensive in the United States and thus switching to cheaper options in the new country was norm. Furthermore, cultural/religious appropriate food items were limited due to cost and often impacted participants’ dietary behavior. In addition to expense, the availability of ethnic-specific food ingredients was limited and/or would require significant travel to obtain them, and thus further contributed to change their dietary habits. Conclusion: The results of the study highlight the need for more interventions focusing on the food habits of the SAA population, in terms of availability of ingredients and accessibility to the ethnic grocery stores in the Inland Empire of Southern California.

Preventing cyberterrorism is becoming a necessity for individuals, organizations, and governments. However, current policies focus on technical and managerial aspects without asking for experts and non-experts values and preferences for preventing cyberterrorism. This study employs value focused thinking and public value forum to bare strategic measures and alternatives for complex policy decisions for preventing cyberterrorism. The strategic measures and alternatives are per socio-technical process.

Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.

This study seeks to provide a brief overview of academic standards and performance of veterans of the United States military and civilians who attend the University of Central Florida. Whether a student is a veteran or a civilian, he or she must learn how to adapt to the requirements of an academic community in order to be successful in that environment. It may be difficult for some. In able for society to discern the importance of the academic performance of both veterans and civilians alike, research is vital. There are various assumptions about veterans. For example, it can be assumed vets do not know how to adapt after leaving the military. It is important to demonstrate that most military veterans are very good at adapting and overcoming stressful situations. Time is evident for adaptability for some. As veterans re-enter society, most make clear and decisive decisions as to the life they desire to have. The modus operandi of veterans is intrinsic as it pertains to an academic setting. This research compares the academic success of both veterans and civilians at the University of Central Florida to begin this conversation. While there has been some research conducted on this topic, there seem to be various ecological fallacies pertaining to conclusions of the research that has been conducted. Academic performance needs to be researched further as well as the effects of standards regarding the performance of veterans and civilians in an academic setting.