483 research outputs found

    Uncovering the wider structure of extreme right communities spanning popular online networks

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    AbstractRecent years have seen increased interest in the online presence of extreme right groups. Although originally composed of dedicated websites, the online extreme right milieu now spans multiple networks, including popular social media platforms such as Twitter, Facebook and YouTube. Ideally therefore, any contemporary analysis of online extreme right activity requires the consideration of multiple data sources, rather than being restricted to a single platform.We investigate the potential for Twitter to act as one possible gateway to communities within the wider online network of the extreme right, given its facility for the dissemination of content. A strategy for representing heterogeneous network data with a single homogeneous network for the purpose of community detection is presented, where these inherently dynamic communities are tracked over time. We use this strategy to discover and analyze persistent English and German language extreme right communities.Authored by Derek O’Callaghan, Derek Greene, Maura Conway, Joe Carthy and Padraig Cunningham

    On The Comovement of REIT Prices

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    This study examines the comovement of equity real estate investment trust (REIT) prices in both the vintage (1980–1991) and the new (1992–2004) REIT eras. The results indicate that the comovement of equity REIT prices within the same property type has strengthened during the new REIT era. The results also indicate that, all else being equal, a high institutional participation, a low insider ownership, and a large market capitalization are associated with a high within-property-type price synchronicity. The evidence is consistent with two notions: (1) that increasing participation by institutional investors in the new REIT era facilitates the pricing of property-type common information on firm-level prices, and (2) that REITs’ information openness to institutional investing plays a role in this strengthened pricing relationship.

    Programming flat-to-synclastic reconfiguration

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    Advances in architectural geometry make free-form architecture explicitly definable and economically manufacturable. Enhancing the efficiency of fabrication, this research investigates strategies of translating free-form synclastic surfaces to flat pre-programmed reconfigurable mechanisms. The presented bi-stable mechanisms are produced by creating voids on flat materials. In such mechanisms, the generated blocks are outlined by the voids that are connected by the hinges. The position and the orientation of the hinges allow the blocks to rotate around each other, and then reconfigure from flat to synclastic. During the reconfiguration process, the blocks are temporarily deformed. As the elasticity brings the blocks back to the original dimensions, the materials reach the second stable states. Distribution of hinges on the flattened surface needs to be designed according to certain geometric constraints. This paper demonstrates the workflow of identifying the positions of the hinges. The developed methods are validated through prototypes such as a spherical surface and a free-form synclastic surface.Structural Design & Mechanic

    Maxwell–Rankine stress functions of membrane shells and their relation to that of planar funicular gridshells

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    This paper investigates the correlations among 3D graphic statics, Maxwell–Rankine stress function, and Pucher's equation (the governing equation of membrane shells). When there is only vertical load, a solution of Pucher's equation can be converted into a Maxwell–Rankine stress function. The resulting stress function can be further discretized into Rankine reciprocal diagrams. The analogous membrane shell will simultaneously be discretized into a gridshell, which has planar polygonal faces and prismatoidal Rankine diagrams. A family of analytical free-edge membrane shells is also presented. Once these membrane shells are discretized, they can have co-apex pyramidal Rankine diagrams. The resulting discretized Rankine diagrams provide an intuitive way for structure designers to perceive the equilibrium of shell structures.Structural Design & Mechanic

    Understanding Mobile Operators' Capabilities Within Convergence Processes

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    Technology, Policy and Managemen

    [[alternative]]The relationship between the isokinetic peak torque of lower extremity and maximal squat strength

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    [[abstract]]The relationship between the isokinetic peak torque of lower extremity and maximal squat strength June 1999 Student: Chen-hsueh Chiang Advisor: Sandy H. Hsieh Abstract The purposes of this study were to examine the relationship between knee extension, hip extension isokinetic peak torque in variety of velocities and one repetition maximum (1-RM) free weight squat strength, and to derive a prediction equation to predict 1-RM load for resistance training. Subjects were 30 healthy male college students who were used to resistance training. They were 21.6 + 2.32 yr in age, 176.0 ± 5.44 cm in height, 77.4 + 15.19 kg in weight, 10.49 ± 5.07 % in percentage body fat. A CYBEX 6000 isokinetic dynamometer was use to measure peak torque for knee extension and hip extension at 300/sec, 600/sec, 1800/sec and 3000/sec. The percentage body fat was estimated by underwater weighing, and maximal squat strength (1-RM) was tested with free weight squat movement. A stepwise regression was performed using maximal squat strength as the criterion, and body weight, body fat percentage, free fat mass, isokinetic knee extension, hip extension peak torque as the predictors. The regression equation was then applied to another 10 subjects who used to resistance training and other 10 untrained college male students in order to cross-validate the validity. The results indicated that the maximal squat strength were about 1.84 times of subjects’ body weight. The predictors of the regression equation for the maximal squat strength were body weight(X1), 1800/sec(X6)and 3000/sec(X7)isokinetic knee extension peak torque. The regression equation is: Y = -44.34 + 0.79 X1 + 0.41 X6 + 0.34 X7 (R2=.90) Cross-validation shows that the regression equation was suitable for the subjects who used to resistance training, but not for the untrained subjects. Keywords: one repetition maximal (1-RM), squat, isokinetic peak torque, knee extension, hip extension, prediction equation

    2003 Chiang et Volume al. 4, Issue 7, Article R43 Open Access

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    Phylogenetically and spatially conserved word pairs associated with gene-expression changes in yeast

    The Centipede Genus Scolopendra in Mainland Southeast Asia: Molecular Phylogenetics, Geometric Morphometrics and External Morphology as Tools for Species Delimitation

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    Copyright: © 2015 The PLOS ONE Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License [4.0], which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The attached file S1 is the corrected, republished version of the article. The attached file S2 is the original, uncorrected version of the article.NHM Repositor
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