Nurses Alumni Association Bulletin, Fall 2000

2000 - 2001 Meeting Date Calendar 2001 Annual Luncheon & Meeting Notice 2000 Fall Social Officers and Committee Chairs Bulletin Publication Committee The President\u27s Message Treasurer\u27s Report Resume of Minutes Alumni Office News Committee Reports Nurses Relief Trust Fund Clara Melville - Adele Lewis Scholarship Fund Satellite Report - Harrisburg Satellite The Fall Luncheon Nominating Alumni Bulletin Development News about our Graduates Presentation on Leadership -Tribute to Janet C. Hindson Thank You Patient Assimilators Third Janet C. Hindson Award Janet C. Hindson Award Qualifications Pinning Ceremony Jeff HOPE Keepsakes Memoirs Happy Birthday 50th Anniversary Class Luncheon Photos Kodak Moment In Memoriam, Names of Deceased Graduates Class News Scholarship Fund Application Certification Reimbursement Application Relief Fund Application Pins, Transcripts, Class Address List, Change of Address Forms Notes Campus Map List of Hotel

RISK AND MARKET PARTICIPANT BEHAVIOR IN THE U.S. SLAUGHTER-CATTLE MARKET

Incomplete information generates uncertainty for market participants in the slaughter-cattle market. Buyer and seller behavior in the presence of that uncertainty is examined. Statistically significant risk premiums are charged by packers when buying slaughter cattle on either a live- or dressed-weight basis compared to buying on a grade-and-yield basis. Pratt-Arrow risk-aversion coefficients are calculated for buyers and these remain constant over all marketing methods. Sellers market cattle under all three marketing methods, suggesting producersÂ’' attitudes toward risk (risk-aversion coefficients) vary.Risk and Uncertainty,

Searching for Dark Matter Annihilation in the Smith High-Velocity Cloud

Recent observations suggest that some high-velocity clouds may be confined by massive dark matter halos. In particular, the proximity and proposed dark matter content of the Smith Cloud make it a tempting target for the indirect detection of dark matter annihilation. We argue that the Smith Cloud may be a better target than some Milky Way dwarf spheroidal satellite galaxies and use gamma-ray observations from the Fermi Large Area Telescope to search for a dark matter annihilation signal. No significant gamma-ray excess is found coincident with the Smith Cloud, and we set strong limits on the dark matter annihilation cross section assuming a spatially-extended dark matter profile consistent with dynamical modeling of the Smith Cloud. Notably, these limits exclude the canonical thermal relic cross section ($\sim 3\times10^{-26}{\rm cm}^{3}{\rm s}^{-1}$) for dark matter masses $\lesssim 30$ GeV annihilating via the $b \bar b$ or $\tau^{+}\tau^{-}$ channels for certain assumptions of the dark matter density profile; however, uncertainties in the dark matter content of the Smith Cloud may significantly weaken these constraints.Comment: 7 pages, 5 figures. Published in Ap

Colloidal diffusion and hydrodynamic screening near boundaries

The hydrodynamic interactions between colloidal particles in small ensembles are measured at varying distances from a no-slip surface over a range of inter-particle separations. The diffusion tensor for motion parallel to the wall of each ensemble is calculated by analyzing thousands of particle trajectories generated by blinking holographic optical tweezers and by dynamic simulation. The Stokesian Dynamics simulations predict similar particle dynamics. By separating the dynamics into three classes of modes: self, relative and collective diffusion, we observe qualitatively different behavior depending on the relative magnitudes of the distance of the ensemble from the wall and the inter-particle separation. A simple picture of the pair-hydrodynamic interactions is developed, while many-body-hydrodynamic interactions give rise to more complicated behavior. The results demonstrate that the effect of many-body hydrodynamic interactions in the presence of a wall is much richer than the single particle behavior and that the multiple-particle behavior cannot be simply predicted by a superposition of pair interactions

A Preconditioned Interior Point Method for Support Vector Machines Using an ANOVA-Decomposition and NFFT-Based Matrix-Vector Products

In this paper we consider the numerical solution to the soft-margin support vector machine optimization problem. This problem is typically solved using the SMO algorithm, given the high computational complexity of traditional optimization algorithms when dealing with large-scale kernel matrices. In this work, we propose employing an NFFT-accelerated matrix-vector product using an ANOVA decomposition for the feature space that is used within an interior point method for the overall optimization problem. As this method requires the solution of a linear system of saddle point form we suggest a preconditioning approach that is based on low-rank approximations of the kernel matrix together with a Krylov subspace solver. We compare the accuracy of the ANOVA-based kernel with the default LIBSVM implementation. We investigate the performance of the different preconditioners as well as the accuracy of the ANOVA kernel on several large-scale datasets.Comment: Official Code https://github.com/wagnertheresa/NFFTSVMip

Worker participation and firm performance : evidence from Germany and Britain

This paper examines the Freeman-Lazear works council/worker involvement model against the empirical backdrop of two different industrial relations systems: the British voluntaristic system, and the German system of mandatory works councils. We find that in nonunion British firms worker involvement increases economic performance, but in the union firms there are negative effects. The implication is that local distributive conflict can cause the wrong level of worker involvement to be chosen, as predicted by the model. ln Germany, where centralized collective bargaining reduces local distributive conflict, we find that a mandate can be advantageous, again as predicted by the model. However, the straitjacket of a mandate is shown to disadvantage small German firms

Array Decomposition‐Fast Multipole Method for finite array analysis

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95440/1/rds5001.pd