USU Athletics: Aggies Recognize 189 Student-Athletes at Annual Whitesides Luncheon

Utah State’s athletics department recognized 189 student-athletes for achieving a 3.2 grade point average at the 20th annual Joe E. and Elma Whitesides Scholar-Athlete Luncheon on Tuesday. To be eligible for the honor, student-athletes must have a cumulative 3.2 grade point average or have posted a 3.2 GPA during the last two semesters.https://digitalcommons.usu.edu/huntsman_news/1113/thumbnail.jp

The Green Quilt: An Example of Collective Eco-Action in Art Education

At the 1994 National Art Education Association (NAEA) Convention in Baltimore we initiated two eco-action presentations that resulted in the making and display of a Green Quilt (Blandy, Congdon, Hicks, Hoffman, & Krug, 1994a; Blandy, Congdon, Hicks, Hoffman &: Krug, 1994b). All of us have been coming to NAEA conventions for a number of years. Every year we have heard discussions on the gap between theory and practice. Discussed also has been the importance and need for activism within the NAEA. As a result of listening to these discussions, the five of us met at the 1993 convention to plan a session for 1994 that would be collaborative, active, political, and ecologically oriented. All of us have an ongoing research interest in eco-active art education. Consequently, we planned a session that would challenge conventional presentation formats by encouraging ongoing political activity. Consideration of the location of the convention, local activism, and the experiences of participants were deemed important aspects of political activity. Linking the NAEA membership with the Green Quilt Project” was the result of our planning

Inital Starting Point Analysis for K-Means Clustering: A Case Study

Workload characterization is an important part of systems performance modeling. Clustering is a method used to find classes of jobs within workloads. K-Means is one of the most popular clustering algorithms. Initial starting point values are needed as input parameters when performing k-means clustering. This paper shows that the results of the running the k-means algorithm on the same workload will vary depending on the values chosen as initial starting points. Fourteen methods of composing initial starting point values are compared in a case study. The results indicate that a synthetic method, scrambled midpoints, is an effective starting point method for k-means clustering

A Case Study on Grid Performance Modeling

The purpose of this case study is to develop a performance model for an enterprise grid for performance management and capacity planning1. The target environment includes grid applications such as health-care and financial services where the data is located primarily within the resources of a worldwide corporation. The approach is to build a discrete event simulation model for a representative work-flow grid. Five work-flow classes, found using a customized k-means clustering algorithm characterize the workload of the grid. Analyzing the gap between the simulation and measurement data validates the model. The case study demonstrates that the simulation model can be used to predict the grid system performance given a workload forecast. The model is also used to evaluate alternative scheduling strategies. The simulation model is flexible and easily incorporates several system details

Capacity Planning of a Commodity Cluster in an Academic Environment: A Case Study

In this paper, the design of a simulation model for evaluating two alternative supercomputer configurations in an academic environment is presented. The workload is analyzed and modeled, and its effect on the relative performance of both systems is studied. The Integrated Capacity Planning Environment (ICPE) toolkit, developed for commodity cluster capacity planning, is successfully applied to the target environment. The ICPE is a tool for workload modeling, simulation modeling, and what-if analysis. A new characterization strategy is applied to the workload to more accurately model commodity cluster work- loads. Through what-if analysis, the sensitivity of the baseline system performance to workload change, and also the relative performance of the two proposed alternative systems are compared and evaluated. This case study demonstrates the usefulness of the methodology and the applicability of the tools in gauging system capacity and making design decisions

O/IR Polarimetry for the 2010 Decade (GAN): Science at the Edge, Sharp Tools for All

Science opportunities and recommendations concerning optical/infrared polarimetry for the upcoming decade in the field of Galactic science. Community-based White Paper to Astro2010 in response to the call for such papers.Comment: White Paper to the Galactic Neighborhood (GAN) Science Frontiers Panel of the Astro2010 Decadal Surve

Direct Evidence for Octupole Deformation in 146^{146}Ba and the Origin of Large E1E1 Moment Variations in Reflection-Asymmetric Nuclei

Despite the more than one order of magnitude difference between the measured dipole moments in $^{144}$Ba and $^{146}$Ba, the strength of the octupole correlations in $^{146}$Ba are found to be as strong as those in $^{144}$Ba with a similarly large value of $B(E3;3^- \rightarrow 0^+)$ determined as 48($^{+21}_{-29}$) W.u. The new results not only establish unambiguously the presence of a region of octupole deformation centered on these neutron-rich Ba isotopes, but also manifest the dependence of the electric dipole moments on the occupancy of different neutron orbitals in nuclei with enhanced octupole strength, as revealed by fully microscopic calculations.Comment: 6 pages, 5 figures, accepted for publication in Phys. Rev. Let

Capacity Planning of a Commodity Cluster in an Academic Environment: A Case Study

Abstract. In this paper, the design of a simulation model for evaluating two alternative supercomputer configurations in an academic environment is presented. The workload is analyzed and modeled, and its effect on the relative performance of both systems is studied. The Integrated Capacity Planning Environment (ICPE) toolkit, developed for commodity cluster capacity planning, is successfully applied to the target environment. The ICPE is a tool for workload modeling, simulation modeling, and what-if analysis. A new characterization strategy is applied to the workload to more accurately model commodity cluster workloads. Through "what-if" analysis, the sensitivity of the baseline system performance to workload change, and also the relative performance of the two proposed alternative systems are compared and evaluated. This case study demonstrates the usefulness of the methodology and the applicability of the tools in gauging system capacity and making design decisions