Regime Transitions, Democracy, and Terrorism in the Muslim World

In the 21st century, the Muslim world is continuously growing, in which Muslim’s make up approximately 24% of the world’s population. Additionally, the Muslim-majority countries, of which 50% or more of the population identify as Muslim, have lagged behind historically in democratizing. In many of these Muslim-majority countries, terrorism has an active presence and often times a destabilizing effect. In this study, I utilize the Global Terrorism Database, and other various data sources, to provide an empirical assessment of the political institutions of Muslim-majority countries, and their correlations to terrorism. I find that Muslim-majority countries in a state of failure are very likely to experience terrorist attacks. I also find that Muslim-majority democracies have no statistically significant correlation to experiencing terrorist attacks. Lastly, the findings on Muslim-majority anocracies in this study can help provide further information for future studies on the correlation between anocracy and terrorism

POINT SPREAD FUNCTION ESTIMATION AND UNCERTAINTY QUANTIFICATION

An important component of analyzing images quantitatively is modeling image blur due to eects from the system for image capture. When the eect of image blur is assumed to be translation invariant and isotropic, it can be generally modeled as convolution with a radially symmetric kernel, called the point spread function (PSF). Standard techniques for estimating the PSF involve imaging a bright point source, but this is not always feasible (e.g. high energy radiography). This work provides a novel non-parametric approach to estimating the PSF from a calibration image of a vertical edge. Moreover, the approach is within a hierarchical Bayesian framework that in addition to providing a method for estimation, also gives a quantification of uncertainty in the estimate by Markov Chain Monte Carlo (MCMC) methods. In the development, we employ a recently developed enhancement to Gibbs sampling, referred to as partial collapse. The improved algorithm has been independently derived in several other works, however, it has been shown that partial collapse may be improperly implemented resulting in a sampling algorithm that that no longer converges to the desired posterior. The algorithm we present is proven to satisfy invariance with respect to the target density. This work and its implementation on radiographic data from the U.S. Department of Energy\u27s Cygnus high-energy X-ray diagnostic system have culminated in a paper titled \Partially Collapsed Gibbs Samplers for Linear Inverse Problems and Applications to X-ray Imaging. The other component of this work is mainly theoretical and develops the requisite functional analysis to make the integration based model derived in the first chapter rigorous. The literature source is from functional analysis related to distribution theory for linear partial differential equations, and briefly addresses infinite dimensional probability theory for Hilbert space-valued stochastic processes, a burgeoning and very active research area for the analysis of inverse problems. To our knowledge, this provides a new development of a notion of radial symmetry for L2 based distributions. This work results in defining an L2 complete space of radially symmetric distributions, which is an important step toward rigorously placing the PSF estimation problem in the infinite dimensional framework and is part of ongoing work toward that end

Las Vegas Water Consumption: Conservation Policy Case Study

This paper examines the water consumption in Las Vegas, Nevada and determines actions needed for the city to reduce water usage. I analyze a data set that dates from 1975 to 2002, and includes independent variables such as, temperature, wind, laws in effect, real price, and real income. The data indicates that wind, temperature, real price, and real income, contribute positively and significantly to the water consumption in Las Vegas, while laws, and rain, are consistent with lower usage. These independent variables show many interesting correlations to the dependent variable of water consumption. The results suggest that by increasing from one law to a few laws, increasing price slightly, and continued secondary education on water conservation, it will significantly reduce the amount of water consumed.These policies will alleviate some of the water consumption, but will probably not cure the overuse of water in Las Vega

Baby Boomers vs Their Parents: Economic Well-being and Health Status

In this chapter, we use the Social Security Administration’s simulation model known as MINT (Modeling Income in the Near Term) to examine the projected health and economic status of Baby Boomers and their parents during retirement. Our projections indicate that boomers will enjoy higher levels of economic well-being and health than their parents, yet the distribution of income and wealth is more unequal among Boomers. For example, the ratio of income to poverty-level income grows three times faster at the 90th percentile than at the 10th percentile. Health problems are concentrated among persons of lower economic status in both generations, but the degree of concentration does not increase across generations

Promoting Business Schools: A Content Analysis of Business Schools Magazines

Among the efforts made to attract students and supporters, many business schools use brochures or magazines to build and maintain relationships with alumni and other stakeholders, to attract new students, and to improve their overall visibility. These promotional materials have various contents, such as message from the dean, academic programs, student achievements, or faculty and staff news, among others. We perform a content analysis on the extent to which the content is utilized by AACSB-accredited business schools in the United States. The study provides an initial picture of self-promotion of business schools using school magazines. The result will increase our knowledge in the area of higher education marketing and help inform marketing professionals in business schools and colleges or universities in general

Primary care screening for peripheral arterial disease:a cross-sectional observational study

Background Early identification of peripheral arterial disease (PAD) and subsequent instigation of risk modification strategies could minimise disease progression and reduce overall risk of cardiovascular (CV) mortality. However, the feasibility and value of primary care PAD screening is uncertain. Aim This study (the PIPETTE study — Peripheral arterial disease In Primary carE: Targeted screening and subsequenT managEment) aimed to determine the value of a proposed primary care PAD screening strategy. Outcomes assessed were: prevalence of PAD and agreement of ankle– brachial index (ABI)-defined PAD (ABI ≤0.9) with QRISK®2-defined high CV risk (≥20). Design and setting A cross-sectional observational study was undertaken in a large general practice in Merthyr Tydfil, Wales. Method In total, 1101 individuals with ≥2 pre-identified CV risk factors but no known CV disease or diabetes were invited to participate. Participants underwent ABI measurement and QRISK2 assessment, and completed Edinburgh Claudication Questionnaires. Results A total of 368 people participated in the study (participation rate: 33%). Prevalence of PAD was 3% (n = 12). The number needed to screen (NNS) to detect one new case of PAD was 31. Refining the study population to those aged ≥50 years with a smoking history reduced the NNS to 14, while still identifying 100% of PAD cases. Of participants with PAD, 33% reported severe lifestyle-limiting symptoms of intermittent claudication that warranted subsequent endovascular intervention, yet had not previously presented to their GP. The QRISK2 score predicted high CV risk in 92% of participants with PAD. Conclusion The low PAD yield and the fact that QRISK2 was largely comparable to the ABI in predicting high CV risk suggests that routine PAD screening may be unwarranted. Instead, strategies to improve public awareness of PAD are neede

Assessing Ozone-Related Health Impacts under a Changing Climate

Climate change may increase the frequency and intensity of ozone episodes in future summers in the United States. However, only recently have models become available that can assess the impact of climate change on O(3) concentrations and health effects at regional and local scales that are relevant to adaptive planning. We developed and applied an integrated modeling framework to assess potential O(3)-related health impacts in future decades under a changing climate. The National Aeronautics and Space Administration–Goddard Institute for Space Studies global climate model at 4° × 5° resolution was linked to the Penn State/National Center for Atmospheric Research Mesoscale Model 5 and the Community Multiscale Air Quality atmospheric chemistry model at 36 km horizontal grid resolution to simulate hourly regional meteorology and O(3) in five summers of the 2050s decade across the 31-county New York metropolitan region. We assessed changes in O(3)-related impacts on summer mortality resulting from climate change alone and with climate change superimposed on changes in O(3) precursor emissions and population growth. Considering climate change alone, there was a median 4.5% increase in O(3)-related acute mortality across the 31 counties. Incorporating O(3) precursor emission increases along with climate change yielded similar results. When population growth was factored into the projections, absolute impacts increased substantially. Counties with the highest percent increases in projected O(3) mortality spread beyond the urban core into less densely populated suburban counties. This modeling framework provides a potentially useful new tool for assessing the health risks of climate change