Americans don’t trust government because they feel economically insecure

In new research, Andrew Wroe finds that those who feel less economically secure are also likely to trust the government less. He writes that while Americans are relatively rich compared to the rest of the world, many are also insecure – a situation they blame on the government, leading them to trust it less

Economic Insecurity and Political Trust in the United States

Extant research demonstrates that citizens’ evaluations of national economic performance play an important role in determining trust in politicians and political institutions, whereas evaluations of their own economic situation play a lesser or even negligible role. Utilizing American National Election Studies data and more apposite measures of personal economic privation during an age of globalization and de-industrialization, this article finds that the extent to which citizens perceive themselves and their families to be economically insecure has a statistically significant and substantial negative effect on political trust. Indeed, the effect at least matches those of macroeconomic evaluations and party identification. This article therefore adds a new dimension to our understanding of the economy–trust nexus and contributes to the small but growing body of scholarship on insecurity’s effects on political behavior

Existing narratives of the effects of partisan polarization in Congress on foreign policy issues are too simplistic

Contemporary politics in America have become riven by the high level of partisan polarization between the Republican and Democratic parties. But has this polarization had an impact on foreign policy? In new research that analysis votes in the U.S. House of Representatives over the past 40 years, Steven Hurst and Andrew Wroe find that while the House was polarized on foreign policy issues after the 1970s, this largely disappeared by the early 2000s, only to reappear more recently. With this in mind, they argue that more sophisticated models are needed to capture the effects of partisan polarization on foreign policy

Economic Policy

This chapter surveys George W. Bush's economic policies and the United State's economic performance in the first decade of the twenty-first centur

Incorporation of Multiple Coulomb Scattering in the Prediction of Optimal Focal Lengths in Magnetically Focused Proton Radiosurgery

Magnetic focusing of protons is a promising approach to improve patient radiation dose distribution in proton radiosurgery. The paths of individual protons are affected by multiple atomic deflections (multiple Coulomb scattering [MCS]) and affect overall beam characteristics in the patient. The purpose of this project is to account for the effects of MCS in the optimization of focal lengths in magnetically focused proton radiosurgery

Magnetically Focused Proton Irradiation of Small Volume Radiosurgery Targets Using a Triplet of Quadrupole Magnets

Proton therapy is an advantageous choice for the irradiation of tumors in proximity of critical structures due to rapid dose fall off and high dose deposition at target compared to dose at the surface of the patient (ie, peak-to-entrance dose ratio (P/E)). However, with target fields below 1.0 cm, as often encountered in proton radiosurgery, multiple Coulomb scattering (MCS) broadens proton beams leading to diminished P/E advantages and reduced dose delivery efficiency (DDE). Magnetic focusing tends to counteract MCS and is a promising method to reduce these undesirable effects. The purpose of this research is to investigate the advantages of proton magnetic focusing with a triplet of quadrupole rare earth permanent magnets

Mapping the Sensitive Volume of an Ion-Counting Nanodosimeter

We present two methods of independently mapping the dimensions of the sensitive volume in an ion-counting nanodosimeter. The first method is based on a calculational approach simulating the extraction of ions from the sensitive volume, and the second method on probing the sensitive volume with 250 MeV protons. Sensitive-volume maps obtained with both methods are compared and systematic errors inherent in both methods are quantified.Comment: 27 pages, 8 figures. Submitted to JINST, Jan. 16 200

An Efficient Method of Modeling Material Properties Using a Thermal Diffusion Analogy: An Example Based on Craniofacial Bone

The ability to incorporate detailed geometry into finite element models has allowed researchers to investigate the influence of morphology on performance aspects of skeletal components. This advance has also allowed researchers to explore the effect of different material models, ranging from simple (e.g., isotropic) to complex (e.g., orthotropic), on the response of bone. However, bone's complicated geometry makes it difficult to incorporate complex material models into finite element models of bone. This difficulty is due to variation in the spatial orientation of material properties throughout bone. Our analysis addresses this problem by taking full advantage of a finite element program's ability to solve thermal-structural problems. Using a linear relationship between temperature and modulus, we seeded specific nodes of the finite element model with temperatures. We then used thermal diffusion to propagate the modulus throughout the finite element model. Finally, we solved for the mechanical response of the finite element model to the applied loads and constraints. We found that using the thermal diffusion analogy to control the modulus of bone throughout its structure provides a simple and effective method of spatially varying modulus. Results compare favorably against both experimental data and results from an FE model that incorporated a complex (orthotropic) material model. This method presented will allow researchers the ability to easily incorporate more material property data into their finite element models in an effort to improve the model's accuracy

The Costs of Carnivory

Mammalian carnivores fall into two broad dietary groups: smaller carnivores (<20 kg) that feed on very small prey (invertebrates and small vertebrates) and larger carnivores (>20 kg) that specialize in feeding on large vertebrates. We develop a model that predicts the mass-related energy budgets and limits of carnivore size within these groups. We show that the transition from small to large prey can be predicted by the maximization of net energy gain; larger carnivores achieve a higher net gain rate by concentrating on large prey. However, because it requires more energy to pursue and subdue large prey, this leads to a 2-fold step increase in energy expenditure, as well as increased intake. Across all species, energy expenditure and intake both follow a three-fourths scaling with body mass. However, when each dietary group is considered individually they both display a shallower scaling. This suggests that carnivores at the upper limits of each group are constrained by intake and adopt energy conserving strategies to counter this. Given predictions of expenditure and estimates of intake, we predict a maximum carnivore mass of approximately a ton, consistent with the largest extinct species. Our approach provides a framework for understanding carnivore energetics, size, and extinction dynamics