Attributions for Spousal Violence

The literature on spousal violence suggests that abusive men, their female victims, and others in society often fail to blame abusers for their violent behavior. This failure perpetuates spousal violence because it allows abusers to continue being abusive without being held responsible for their actions. This study analyzed the attributions of male and female university students concerning written scenarios portraying moderate levels of spousal violence to determine whether observers tend to explain the violence using internal or external attributions. Male participants in the study reported a very low tendency, if any, to engage in spousal violence, while the female participants had very little, if any, experience as victims of abuse during the previous six months. Four theories were used to formulate the research questions concerning whether respondents would make internal or external attributions for spousal violence: Kelley\u27s Covariation Theory, Jones and Nisbett\u27s Actor-Observer Bias, Shaver\u27s Defensive Attribution, and Backman\u27s Self-Theory. The results indicated that the majority of male and female observers attributed the cause of violence to the abuser by making internal attributions for the abuse. These results offer an element of hope to the spousal violence literature. To the extent that members of society make internal attributions for spousal violence, abusers are held responsible for their behavior and ultimately may feel pressured to stop being abusive

Fragment Approach to Constrained Density Functional Theory Calculations using Daubechies Wavelets

In a recent paper we presented a linear scaling Kohn-Sham density functional theory (DFT) code based on Daubechies wavelets, where a minimal set of localized support functions is optimized in situ and therefore adapted to the chemical properties of the molecular system. Thanks to the systematically controllable accuracy of the underlying basis set, this approach is able to provide an optimal contracted basis for a given system: accuracies for ground state energies and atomic forces are of the same quality as an uncontracted, cubic scaling approach. This basis set offers, by construction, a natural subset where the density matrix of the system can be projected. In this paper we demonstrate the flexibility of this minimal basis formalism in providing a basis set that can be reused as-is, i.e. without reoptimization, for charge-constrained DFT calculations within a fragment approach. Support functions, represented in the underlying wavelet grid, of the template fragments are roto-translated with high numerical precision to the required positions and used as projectors for the charge weight function. We demonstrate the interest of this approach to express highly precise and efficient calculations for preparing diabatic states and for the computational setup of systems in complex environments

Psychology and neurobiology of simple decisions

Patterns of neural firing linked to eye movement decisions show that behavioral decisions are predicted by the differential firing rates of cells coding selected and nonselected stimulus alternatives. These results can be interpreted using models developed in mathematical psychology to model behavioral decisions. Current models assume that decisions are made by accumulating noisy stimulus information until sufficient information for a response is obtained. Here, the models, and the techniques used to test them against response-time distribution and accuracy data, are described. Such models provide a quantitative link between the time-course of behavioral decisions and the growth of stimulus information in neural firing data. The question of how two-alternative decisions are made i

Inverse wing design in transonic flow including viscous interaction

Several inverse methods were compared and initial results indicate that differences in results are primarily due to coordinate systems and fuselage representations and not to design procedures. Further, results from a direct-inverse method that includes 3-D wing boundary layer effects, wake curvature, and wake displacement are represented. These results show that boundary layer displacements must be included in the design process for accurate results

Spin and Lattice Structure of Single Crystal SrFe2As2

We use neutron scattering to study the spin and lattice structure on single crystals of SrFe2As2, the parent compound of the FeAs based superconductor (Sr,K)Fe2As2. We find that SrFe2As2 exhibits an abrupt structural phase transitions at 220K, where the structure changes from tetragonal with lattice parameters c > a = b to orthorhombic with c > a > b. At almost the same temperature, Fe spins in SrFe2As2 develop a collinear antiferromagnetic structure along the orthorhombic a-axis with spin direction parallel to this a-axis. These results are consistent with earlier work on the RFeAsO (R = rare earth elements) families of materials and on BaFe2As2, and therefore suggest that static antiferromagnetic order is ubiquitous for the parent compound of these FeAs-based high-transition temperature superconductors.Comment: 14 pages with 4 figure

Spatial Analysis of U.S. Terrorism Incidents

This research brief represents an overview of basic spatial patterns across a sample of terrorism incidents in the United States. While research concerning characteristics of incidents has received some study, the geospatial patterns of these incidents remains largely unexamined. Logically, different ideological categories of terrorism may lend themselves to different spatial patterns and preferences for target distance. In addition, the distance required to perpetrate an incident may affect the success rate of an attack. Terrorists who must travel further to engage in preparatory activity such as surveillance or transporting weapons may stand an increased chance of failure due to human intervention. Previous research from the American Terrorism Study (ATS) has examined these ideas and generally suggests terrorists favor targets closer to their place of residence; this research brief builds upon that previous work. The findings suggest that in recent years, terrorists have lived closer to the intended target. This is primarily related to the increase in ISIS-affiliated incidents

What Roughage for Dairy Calves

A good-quality, mixed legume-grass hay has generally been recommended Iowa State College results show that high-quality roughage is important with a good starter. Calves did well on timothy but better on alfalfa

Complexity reduction in large quantum systems: fragment identification and population analysis via a local optimized minimal basis.

We present, within Kohn-Sham density functional theory calculations, a quantitative method to identify and assess the partitioning of a large quantum-mechanical system into fragments. We then show how within this framework simple generalizations of other well-known population analyses can be used to extract, from first-principles, reliable electrostatic multipoles for the identified fragments. Our approach reduces arbitrariness in the fragmentation procedure and enables the possibility to assess quantitatively whether the corresponding fragment multipoles can be interpreted as observable quantities associated with a system moiety. By applying our formalism within the code BigDFT, we show that the use of a minimal set of in situ-optimized basis functions allows at the same time a proper fragment definition and an accurate description of the electronic structure

Magnetic form factor of SrFe2_2As2_2

Neutron diffraction measurements have been carried out to investigate the magnetic form factor of the parent SrFe2As2 system of the iron-based superconductors. The general feature is that the form factor is approximately isotropic in wave vector, indicating that multiple d-orbitals of the iron atoms are occupied as expected based on band theory. Inversion of the diffraction data suggests that there is some elongation of the spin density toward the As atoms. We have also extended the diffraction measurements to investigate a possible jump in the c-axis lattice parameter at the structural phase transition, but find no detectable change within the experimental uncertainties

The spatial distribution of coronae on Venus

Coronae on Venus are large, generally circular surface features that have distinctive tectonic, volcanic, and topographic expressions. They range in diameter from less than 200 km to at least 1000 km. Data from the Magellan spacecraft have now allowed complete global mapping of the spatial distribution of coronae on the planet. Unlike impact craters, which show a random (i.e., Poisson) spatial distribution, the distribution of coronae appears to be nonrandom. We investigate the distribution here in detail, and explore its implications in terms of mantle convection and surface modification processes