Boise State University

About: Boise State University is a education organization based out in Boise, Idaho, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3698 authors who have published 8664 publications receiving 210163 citations. The organization is also known as: BSU & Boise State.

Seismicity Remotely Triggered by the Magnitude 7.3 Landers, California, Earthquake

Abstract: The magnitude 7.3 Landers earthquake of 28 June 1992 triggered a remarkably sudden and widespread increase in earthquake activity across much of the western United States. The triggered earthquakes, which occurred at distances up to 1250 kilometers (17 source dimensions) from the Landers mainshock, were confined to areas of persistent seismicity and strike-slip to normal faulting. Many of the triggered areas also are sites of geothermal and recent volcanic activity. Static stress changes calculated for elastic models of the earthquake appear to be too small to have caused the triggering. The most promising explanations involve nonlinear interactions between large dynamic strains accompanying seismic waves from the mainshock and crustal fluids (perhaps including crustal magma).

The Cognitive Infrastructure of Opportunity Emergence

Abstract: Before we can act on opportunities we must first identify those opportunities. Understanding what promotes or inhibits entrepreneurial activity thus requires understanding how we construct perceived opportunities. Seeing a prospective course of action as a credible opportunity reflects an intentions–driven process driven by known critical antecedents. Based on well–developed theory and robust empirical evidence, we propose an intentions-based model of the cognitive infrastructure that supports or inhibits how we perceive opportunities. We discuss how this model both integrates past findings and guides future research. We also show the practical diagnostic power this model offers to managers.

Fermi-LAT observations of the diffuse γ-ray emission: implications for cosmic rays and the interstellar medium

Abstract: The gamma-ray sky >100 MeV is dominated by the diffuse emissions from interactions of cosmic rays with the interstellar gas and radiation fields of the Milky Way. Observations of these diffuse emissions provide a tool to study cosmic-ray origin and propagation, and the interstellar medium. We present measurements from the first 21 months of the Fermi-LAT mission and compare with models of the diffuse gamma-ray emission generated using the GALPROP code. The models are fitted to cosmic-ray data and incorporate astrophysical input for the distribution of cosmic-ray sources, interstellar gas and radiation fields. To assess uncertainties associated with the astrophysical input, a grid of models is created by varying within observational limits the distribution of cosmic-ray sources, the size of the cosmic-ray confinement volume (halo), and the distribution of interstellar gas. An all-sky maximum-likelihood fit is used to determine the Xco-factor, the ratio between integrated CO-line intensity and molecular hydrogen column density, the fluxes and spectra of the gamma-ray point sources from the first Fermi-LAT catalogue, and the intensity and spectrum of the isotropic background including residual cosmic rays that were misclassified as gamma rays, all of which have some dependency on the assumed diffuse emission model. The models are compared on the basis of their maximum likelihood ratios as well as spectra, longitude, and latitude profiles. We also provide residual maps for the data following subtraction of the diffuse emission models. The models are consistent with the data at high and intermediate latitudes but under-predict the data in the inner Galaxy for energies above a few GeV. Possible explanations for this discrepancy are discussed, including the contribution by undetected point source populations and spectral variations of cosmic rays throughout the Galaxy.

What happens after ERP implementation: understanding the impact of interdependence and differentiation on plant-level outcomes

Abstract: We present a model of the organizational impacts of enterprise resource planning (ERP) systems once the system has gone live and the "shake-out" phase has occurred. Organizational information processing theory states that performance is influenced by the level of fit between information processing mechanisms and organizational context. Two important elements of this context are interdependence and differentiation among subunits of the organization. Because ERP systems include data and process integration, the theory suggests that ERP will be a relatively better fit when interdependence is high and differentiation is low. Our model focuses at the subunit level of the organization (business function or location, such as a manufacturing plant) and includes intermediate benefits through which ERP's overall subunit impact occurs (in our case at the plant level). ERP customization and the amount of time since ERP implementation are also included in the model. The resulting causal model is tested using a questionnaire survey of 111 manufacturing plants. The data support the key assertions in the model.

Measurement of Separate Cosmic-Ray Electron and Positron Spectra with the Fermi Large Area Telescope

Abstract: We measured separate cosmic-ray electron and positron spectra with the Fermi Large Area Telescope. Because the instrument does not have an onboard magnet, we distinguish the two species by exploiting the Earth's shadow, which is offset in opposite directions for opposite charges due to the Earth's magnetic field. We estimate and subtract the cosmic-ray proton background using two different methods that produce consistent results. We report the electron-only spectrum, the positron-only spectrum, and the positron fraction between 20 GeV and 200 GeV. We confirm that the fraction rises with energy in the 20--100 GeV range and determine for the first time that it continues to rise between 100 and 200 GeV.