How local media coverage of voter fraud influences partisan perceptions in the United States

Extant findings show that voter fraud is extremely rare and difficult to prove in the United States. Voter’s knowledge about voter fraud allegations likely comes through the media, who tend to sensationalize the issue. In this study, we argue that the more voters are exposed to media coverage of voter fraud allegations, the more likely that they will perceive that voter fraud is a frequent problem. We merge the 2012 Survey of Performance of American Elections with state-level media coverage of voter fraud leading up to the 2012 election. Our results show that media coverage of voter fraud is associated with public beliefs about voter fraud. In states where fraud was more frequently featured in local media outlets, public concerns about voter fraud were heightened. In particular, we find that press attention to voter fraud has a larger influence on Republicans than Democrats and Independents. We further find that media coverage of voter fraud does not further polarize partisan perceptions of voter fraud. Rather, political interest moderates state media coverage on voter fraud beliefs only among Republicans. Lastly, our results provide no support that demographic changes, approval of election administration, or information concerning actual reported voting irregularities have any discernable effects on partisan perceptions

A multi-resolution model to capture both global fluctuations of an enzyme and molecular recognition in the ligand-binding site

In multi-resolution simulations, different system components are simultaneously modelled at different levels of resolution, these being smoothly coupled together. In the case of enzyme systems, computationally expensive atomistic detail is needed in the active site to capture the chemistry of substrate binding. Global properties of the rest of the protein also play an essential role, determining the structure and fluctuations of the binding site; however, these can be modelled on a coarser level. Similarly, in the most computationally efficient scheme only the solvent hydrating the active site requires atomistic detail. We present a methodology to couple atomistic and coarse-grained protein models, while solvating the atomistic part of the protein in atomistic water. This allows a free choice of which protein and solvent degrees of freedom to include atomistically, without loss of accuracy in the atomistic description. This multi-resolution methodology can successfully model stable ligand binding, and we further confirm its validity via an exploration of system properties relevant to enzymatic function. In addition to a computational speedup, such an approach can allow the identification of the essential degrees of freedom playing a role in a given process, potentially yielding new insights into biomolecular function

Advantages and challenges in coupling an ideal gas to atomistic models in adaptive resolution simulations

In adaptive resolution simulations, molecular fluids are modeled employing different levels of resolution in different subregions of the system. When traveling from one region to the other, particles change their resolution on the fly. One of the main advantages of such approaches is the computational efficiency gained in the coarse-grained region. In this respect the best coarse-grained system to employ in the low resolution region would be the ideal gas, making intermolecular force calculations in the coarse-grained subdomain redundant. In this case, however, a smooth coupling is challenging due to the high energetic imbalance between typical liquids and a system of non-interacting particles. In the present work, we investigate this approach, using as a test case the most biologically relevant fluid, water. We demonstrate that a successful coupling of water to the ideal gas can be achieved with current adaptive resolution methods, and discuss the issues that remain to be addressed

Impact of a Nutrition and Yoga Intervention in Breast Cancer Suvivors\u27 Quality of Life

The aim of the present study was to determine if a nutrition and yoga intervention will improve quality of life (QoL) in breast cancer survivors (BCS). Using the Transactional Model of Stress and Coping as a guide to lead the intervention, the intervention assessed potential barriers, self-efficacy, diet quality, and physical activity as it relates to quality of life. Twenty-seven women were enrolled in the study and randomly assigned to the control or intervention group. The intervention consisted of 6-weeks of yoga classes and 6-weeks of online nutrition education. The control group received a nutrition consultation and nutrition guidelines from the American Cancer Society. Measurement of variables was conducted at baseline, post-intervention (6 weeks), and follow-up (12 weeks). One-way repeated measures ANOVA, paired samples t-test, and post hoc analysis with Bonferroni adjustment was used to analyze the data. Mediation analysis with regression was performed to demonstrate the effect the intervention had on quality of life. The intervention elicited a statistically significant difference in the Total Outcome Index quality of life score from baseline to post-intervention (P \u3c .005) and from baseline to follow-up (P \u3c .005) in the intervention group. The frequency of how often fruits and vegetables were consumed was significant between time points, (P \u3c .05), but not between the control and intervention group, P = .538. The amount of fruit and vegetables consumed each time was statistically significant for the intervention group from baseline to post-intervention (P \u3c .05) however there was no significant difference from baseline to follow-up (P = .067). There was no difference between the control and intervention group, (P = .216). There was a statistically significant difference for physical activity for time (P P = .166) however the intervention group has a statistically significant difference between baseline and post-intervention (PP = .082). We cannot confidently predict that participant’s quality of life scores are determined by group with the help of mediators after conducting a mediation analysis with regression. A six-week nutrition and yoga intervention in BCS elicited significant changes in QoL in BCS. Even though the results did not show significant changes between the control and intervention group there were significant changes within the intervention group from baseline to post-intervention and baseline to follow-up which may indicate a 6-week online nutrition education program coupled with a 6-week yoga intervention an effective tool to improve QoL in BCS

Nano-friction in cavity quantum electrodynamics

The dynamics of cold trapped ions in a high-finesse resonator results from the interplay between the long-range Coulomb repulsion and the cavity-induced interactions. The latter are due to multiple scatterings of laser photons inside the cavity and become relevant when the laser pump is sufficiently strong to overcome photon decay. We study the stationary states of ions coupled with a mode of a standing-wave cavity as a function of the cavity and laser parameters, when the typical length scales of the two self-organizing processes, Coulomb crystallization and photon-mediated interactions, are incommensurate. The dynamics are frustrated and in specific limiting cases can be cast in terms of the Frenkel-Kontorova model, which reproduces features of friction in one dimension. We numerically recover the sliding and pinned phases. For strong cavity nonlinearities, they are in general separated by bistable regions where superlubric and stick-slip dynamics coexist. The cavity, moreover, acts as a thermal reservoir and can cool the chain vibrations to temperatures controlled by the cavity parameters and by the ions phase. These features are imprinted in the radiation emitted by the cavity, which is readily measurable in state-of-art setups of cavity quantum electrodynamics.Comment: 9 pages, 7 figure

Forgiveness and interpersonal skills in same-sexed friendships

Although forgiveness is a largely interpersonal process, little research has examined the relationship between forgiveness and the interpersonal skills that may be important in forgiving another for an offence. The current study addressed this issue by investigating the relationship between forgiveness and interpersonal skills in same-sexed friendships among a community sample of 210 people (mean age 38.32 years). Each participant completed the Heartland Forgiveness Scale (Thompson et al., 2005), which assesses forgiveness of self, others, and situations; and the same-sex friend version of the Interpersonal Competence Questionnaire (Buhrmester, Furman, Wittenberg, & Reis, 1988) which assesses skills in initiation, negative assertion, self-disclosure, emotional support, and conflict management. Positive correlations were found between all five interpersonal skills and the three types of forgiveness, with only the relationship between forgiveness of others and negative assertion failing to reach significance. Separate hierarchical regressions were conducted to predict each type of forgiveness, with age and gender entered at Step 1 and the interpersonal skills variables entered at Step 2. Age, initiation skills, and conflict management skills each contributed uniquely to the prediction of all three types of forgiveness. Discussion centres around the relationship between forgiveness and interpersonal skills

Effects of cosmic rays on single event upsets

Assistance was provided to the Brookhaven Single Event Upset (SEU) Test Facility. Computer codes were developed for fragmentation and secondary radiation affecting Very Large Scale Integration (VLSI) in space. A computer controlled CV (HP4192) test was developed for Terman analysis. Also developed were high speed parametric tests which are independent of operator judgment and a charge pumping technique for measurement of D(sub it) (E). The X-ray secondary effects, and parametric degradation as a function of dose rate were simulated. The SPICE simulation of static RAMs with various resistor filters was tested

Holomorphic symmetric differentials and a birational characterization of Abelian Varieties

A generically generated vector bundle on a smooth projective variety yields a rational map to a Grassmannian, called Kodaira map. We answer a previous question, raised by the asymptotic behaviour of such maps, giving rise to a birational characterization of abelian varieties. In particular we prove that, under the conjectures of the Minimal Model Program, a smooth projective variety is birational to an abelian variety if and only if it has Kodaira dimension 0 and some symmetric power of its cotangent sheaf is generically generated by its global sections.Comment: UPDATED: more details added on main proo