Institution
University of Wisconsin–Milwaukee
Education•Milwaukee, Wisconsin, United States•
About: University of Wisconsin–Milwaukee is a education organization based out in Milwaukee, Wisconsin, United States. It is known for research contribution in the topics: Population & Gravitational wave. The organization has 11839 authors who have published 28034 publications receiving 936438 citations. The organization is also known as: UWM & University of Wisconsin-Milwaukee.
Papers published on a yearly basis
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TL;DR: In this article, the role of urban political economy, private-public property relations, and race and ethnicity in the social production of Milwaukee's urban forest was investigated by integrating urban-forest canopy-cover data from aerial photography, United States Census data, and qualitative data collected through in-depth interviews.
Abstract: This article investigates the role of urban political economy, private-public property relations, and race and ethnicity in the social production of Milwaukee's urban forest. By integrating urban-forest canopy-cover data from aerial photography, United States Census data, and qualitative data collected through in-depth interviews, this analysis suggests that there is an inequitable distribution of urban canopy cover within Milwaukee. Since urban trees positively affect quality of life, the spatially inequitable distribution of urban trees in relation to race and ethnicity is yet another instance of urban environmental inequality that deserves greater consideration in light of contemporary and dynamic property relations within capitalist societies.
630 citations
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TL;DR: The study's results suggest that China's more stable and supportive institutional environment has helped Chinese firms take a longer-term view of alliance partner selection, focusing more on the potential partner's intangible assets along with technological and managerial capabilities.
Abstract: China and Russia represent major economies in transition from command economies, yet their paths to the market have differed greatly. Their divergent approaches have helped create distinct institutional environments. This study focuses on a particularly important strategic decision firms face-alliance partner selection. The study's results suggest that China's more stable and supportive institutional environment has helped Chinese firms take a longer-term view of alliance partner selection, focusing more on the potential partner's intangible assets along with technological and managerial capabilities. In contrast, the less stable Russian institutional environment has influenced Russian managers to focus more on the short term, selecting partners that provide access to financial capital and complementary capabilities so as to enhance their firms' ability to weather that nation's turbulent environment. This study contributes to knowledge about the influence of the institutional environment on alliance partner selection decisions for firms domiciled in transition (and emerging) economies.
626 citations
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University of Copenhagen1, École Polytechnique Fédérale de Lausanne2, University of Michigan3, Ramon Llull University4, Purdue University5, European School of Management and Technology6, Aarhus University7, University of Surrey8, Royal Holloway, University of London9, Maastricht University10, Johannes Kepler University of Linz11, Copenhagen Business School12, Royal Institute of Technology13, University of Southern California14, Simon Fraser University15, University of Erlangen-Nuremberg16, University of Wisconsin–Milwaukee17, RWTH Aachen University18, University of Southern Denmark19, Polytechnic University of Milan20, Babson College21, Imperial College London22
TL;DR: In this article, the authors present opportunities for future research on OI, organized at different levels of analysis, and discuss some of the contingencies at these different levels, and argue that future research needs to study OI - originally an organisational-level phenomenon.
Abstract: This paper provides an overview of the main perspectives and themes emerging in research on open innovation (OI). The paper is the result of a collaborative process among several OI scholars – having a common basis in the recurrent Professional Development Workshop on ‘Researching Open Innovation’ at the Annual Meeting of the Academy of Management. In this paper, we present opportunities for future research on OI, organised at different levels of analysis. We discuss some of the contingencies at these different levels, and argue that future research needs to study OI – originally an organisational-level phenomenon – across multiple levels of analysis. While our integrative framework allows comparing, contrasting and integrating various perspectives at different levels of analysis, further theorising will be needed to advance OI research. On this basis, we propose some new research categories as well as questions for future research – particularly those that span across research domains that have so far developed in isolation.
623 citations
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TL;DR: In this article, the early part of the gravitational wave signal of binary neutron-star inspirals can potentially yield robust information on the nuclear equation of state, and the authors calculate the deformation of a star's quadrupole deformation in response to the perturbing tidal field.
Abstract: The early part of the gravitational wave signal of binary neutron-star inspirals can potentially yield robust information on the nuclear equation of state. The influence of a star's internal structure on the waveform is characterized by a single parameter: the tidal deformability $\ensuremath{\lambda}$, which measures the star's quadrupole deformation in response to the companion's perturbing tidal field. We calculate $\ensuremath{\lambda}$ for a wide range of equations of state and find that the value of $\ensuremath{\lambda}$ spans an order of magnitude for the range of equation of state models considered. An analysis of the feasibility of discriminating between neutron-star equations of state with gravitational wave observations of the early part of the inspiral reveals that the measurement error in $\ensuremath{\lambda}$ increases steeply with the total mass of the binary. Comparing the errors with the expected range of $\ensuremath{\lambda}$, we find that Advanced LIGO observations of binaries at a distance of 100 Mpc will probe only unusually stiff equations of state, while the proposed Einstein Telescope is likely to see a clean tidal signature.
620 citations
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TL;DR: Experimental results indicated that CNTs-A have excellent adsorption capacity for methyl orange and methylene blue, and Kinetic regression results shown that the adsorbent kinetic was more accurately represented by a pseudo second-order model than Langmuir isotherm model.
Abstract: An alkali-acitvated method was explored to synthesize activated carbon nanotubes (CNTs-A) with a high specific surface area (SSA), and a large number of mesopores. The resulting CNTs-A were used as an adsorbent material for removal of anionic and cationic dyes in aqueous solutions. Experimental results indicated that CNTs-A have excellent adsorption capacity for methyl orange (149 mg/g) and methylene blue (399 mg/g). Alkali-activation treatment of CNTs increased the SSA and pore volume (PV), and introduced oxygen-containing functional groups on the surface of CNTs-A, which would be beneficial to improving the adsorption affinity of CNTs-A for removal of dyes. Kinetic regression results shown that the adsorption kinetic was more accurately represented by a pseudo second-order model. The overall adsorption process was jointly controlled by external mass transfer and intra-particle diffusion, and intra-particle diffusion played a dominant role. Freundlich isotherm model showed a better fit with adsorption da...
617 citations
Authors
Showing all 11948 results
Name | H-index | Papers | Citations |
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Caroline S. Fox | 155 | 599 | 138951 |
Mark D. Griffiths | 124 | 1238 | 61335 |
Benjamin William Allen | 124 | 807 | 87750 |
James A. Dumesic | 118 | 615 | 58935 |
Richard O'Shaughnessy | 114 | 462 | 77439 |
Patrick Brady | 110 | 442 | 73418 |
Laura Cadonati | 109 | 450 | 73356 |
Stephen Fairhurst | 109 | 426 | 71657 |
Benno Willke | 109 | 508 | 74673 |
Benjamin J. Owen | 108 | 351 | 70678 |
Kenneth H. Nealson | 108 | 483 | 51100 |
P. Ajith | 107 | 372 | 70245 |
Duncan A. Brown | 107 | 567 | 68823 |
I. A. Bilenko | 105 | 393 | 68801 |
F. Fidecaro | 105 | 569 | 74781 |