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The Discovery of a Gravitationally Lensed Supernova Ia at Redshift 2.22
Rubin, D.,Hayden, B.,Huang, X.,Aldering, G.,Amanullah, R.,Barbary, K.,Boone, K.,Brodwin, M.,Deustua, S. E.,Dixon, S.,Eisenhardt, P.,Fruchter, A. S.,Gonzalez, A. H.,Goobar, A.,Gupta, R. R.,Hook, I.,Jee American Astronomical Society 2018 The Astrophysical journal Vol.866 No.1
Integrating Labor Relations and Human Resource Management: Impacts on State Workforces
WILLOW S. JACOBSON,AMY K. DONAHUE,ELLEN V. RUBIN 한국행정학회 2008 International Review of Public Administration Vol.13 No.2
What is the combined effect of labor relations and human resources management on results that are important to managers? This article provides a preliminary answer to this question using data from the 50 state governments. Research considering the influence of public sector unions on public sector outcomes typically operationalizes unionization as bivariate, which greatly understates the complexity of the relationships. Furthermore, labor relations research often fails to consider the human resources management systems in which labor relations operates. Considering the effects of labor relations and human resource management policies together on intermediate outcomes such as quality of hires, turnover, and tenure begins to provide a more complete picture of the workforce management system, and provides a roadmap for future research which can be informative for both the public and private sectors.
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming
Joong-Ho Won,Yongkweon Jeon,Rosenberg, J. K.,Sungroh Yoon,Rubin, G. D.,Napel, S. IEEE 2013 IEEE transactions on visualization and computer gr Vol.19 No.1
<P>Direct projection of 3D branching structures, such as networks of cables, blood vessels, or neurons onto a 2D image creates the illusion of intersecting structural parts and creates challenges for understanding and communication. We present a method for visualizing such structures, and demonstrate its utility in visualizing the abdominal aorta and its branches, whose tomographic images might be obtained by computed tomography or magnetic resonance angiography, in a single 2D stylistic image, without overlaps among branches. The visualization method, termed uncluttered single-image visualization (USIV), involves optimization of geometry. This paper proposes a novel optimization technique that utilizes an interesting connection of the optimization problem regarding USIV to the protein structure prediction problem. Adopting the integer linear programming-based formulation for the protein structure prediction problem, we tested the proposed technique using 30 visualizations produced from five patient scans with representative anatomical variants in the abdominal aortic vessel tree. The novel technique can exploit commodity-level parallelism, enabling use of general-purpose graphics processing unit (GPGPU) technology that yields a significant speedup. Comparison of the results with the other optimization technique previously reported elsewhere suggests that, in most aspects, the quality of the visualization is comparable to that of the previous one, with a significant gain in the computation time of the algorithm.</P>