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Fields of Green and Gold är en multipel fallstudie som analyserar placeringen och etableringen av två storskaliga, berömda och påkostade golfanläggningar för att därigenom undersöka den exklusiva golfens politiska ekologi. De fall som studeras är Bro Hof Slott Golf Club i Upplands-Bro - som öppnade 2007 - och Trump International Golf Links Scotland i Aberdeenshire - som öppnade 2012. Att analyseraFields of Green and Gold is a multiple case study analysing the placing and establishment of two large-scale, high-profile, upmarket golf developments with the aim of exploring a political ecology of high-end golf. The cases studied are Bro Hof Slott Golf Club in Upplands-Bro, opened in 2007, and Trump International Golf Links Scotland in Aberdeenshire, opened in 2012. Reading these two cases toge

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The classical Levin-Pfluger theory of entire functions of completely regular growth ($CRG$) of finite order $\rho$ in one variable establishes a relation between the distribution of zeros of an entire function and its growth. The most important and interesting result in this theory is the fundamental principle for $CRG$ functions. In the book of Gruman and Lelong, this basic theorem was generalize

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Social scientists studying mental health from a qualitative approach faces a complex and diverse field. As an empirical field, the object in focus is usually summed up as being concerned with for example, experiences of a psychosis, enactments of the clinician-patient dialectic, or different encounters within, as well as outside, psychiatry. This paper is a suggestion for how to approach and use t

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Prior work on multi-view structure from motion is dominated by sequential approaches starting from a single two-view reconstruction, then adding new images one by one. In contrast, we propose a non-sequential methodology based on rotational consistency and robust estimation using convex optimization. The resulting system is more robust with respect to (i) unreliable two-view estimations caused by

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In many areas, the ability to create accurate 3D models is of great interest, for example, in computer vision, robotics, architecture, and augmented reality. In this paper we show how a textured indoor environment can be reconstructed in 3D using an RGB-D camera. Real-time performance can be achieved using a GPU. We show how the camera pose can be estimated directly using the geometry that we repr