Institution
University of Ljubljana
Education•Ljubljana, Slovenia•
About: University of Ljubljana is a education organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 17210 authors who have published 47013 publications receiving 1082684 citations. The organization is also known as: Univerza v Ljubljani.
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Arizona State University1, University of Pennsylvania2, Complutense University of Madrid3, University of Illinois at Chicago4, Tripura University5, New Mexico State University6, Nagaland University7, Istanbul Technical University8, The Chinese University of Hong Kong9, Western Illinois University10, Pontifícia Universidade Católica de Minas Gerais11, Simmons College12, University of Amsterdam13, VU University Amsterdam14, Kaohsiung Medical University15, University of Ljubljana16, Chemnitz University of Technology17, National Pingtung University of Science and Technology18, Renmin University of China19, Universidad Francisco Marroquín20, Regent University21, Athens University of Economics and Business22, I-Shou University23, Texas A&M International University24, Villanova University25, Sultan Qaboos University26, Fundação Dom Cabral27, Tilburg University28, University of Twente29
TL;DR: In this paper, the cultural and leadership variables associated with corporate social responsibility values that managers apply to their decision-making were examined, and the cultural dimensions of institutional collectivism and power distance were found to predict social responsibility value on the part of top management team members.
Abstract: This paper examines cultural and leadership variables associated with corporate social responsibility values that managers apply to their decision-making. In this longitudinal study, we analyze data from 561 firms located in 15 countries on five continents to illustrate how the cultural dimensions of institutional collectivism and power distance predict social responsibility values on the part of top management team members. CEO visionary leadership and integrity were also uniquely predictive of such values.
668 citations
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07 Dec 2015
TL;DR: The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance and presents a new VOT 2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute.
Abstract: The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.
667 citations
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18 Sep 2003TL;DR: In this article, the authors give a quick introduction to the theory of foliations, Lie groupoids and Lie algebroids, focusing on the interplay between these concepts: Lie groupoid form an indispensable tool to study the transverse structure of foliation as well as their noncommutative geometry.
Abstract: This book gives a quick introduction to the theory of foliations, Lie groupoids and Lie algebroids. An important feature is the emphasis on the interplay between these concepts: Lie groupoids form an indispensable tool to study the transverse structure of foliations as well as their noncommutative geometry, while the theory of foliations has immediate applications to the Lie theory of groupoids and their infinitesimal algebroids. The book starts with a detailed presentation of the main classical theorems in the theory of foliations then proceeds to Molino's theory, Lie groupoids, constructing the holonomy groupoid of a foliation and finally Lie algebroids. Among other things, the authors discuss to what extent Lie's theory for Lie groups and Lie algebras holds in the more general context of groupoids and algebroids. Based on the authors' extensive teaching experience, this book contains numerous examples and exercises making it ideal for graduate students and their instructors.
653 citations
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TL;DR: In this paper, the branching fraction ratio R(D)(()*()) of (B) over bar → D-(*())tau(-)(nu)over bar (tau) relative to (B), where l = e or mu, was measured using the full Belle data sample.
Abstract: We report a measurement of the branching fraction ratios R(D)(()*()) of (B) over bar -> D-(*())tau(-)(nu) over bar (tau) relative to (B) over bar -> D-(*())l(-)(nu) over barl (where l = e or mu) using the full Belle data sample of 772 x 10(6)B (B) over bar pairs collected at the Upsilon(4S) resonance with the Belle detector at the KEKB asymmetric-energy e(+)e(-) collider. The measured values are R(D) = 0.375 +/- 0.064(stat) +/- 0.026(syst) and R(D*) = 0.293 +/- 0.038 (stat) +/- 0.015 (syst). The analysis uses hadronic reconstruction of the tag-side B meson and purely leptonic t decays. The results are consistent with earlier measurements and do not show a significant deviation from the standard model prediction.
652 citations
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University of Washington1, Institute for Advanced Study2, Princeton University3, University of California, Santa Cruz4, Fermilab5, Rensselaer Polytechnic Institute6, Joint Institute for Nuclear Astrophysics7, University of Texas at Austin8, Texas Tech University9, Australian National University10, Max Planck Society11, University of Ljubljana12, Lawrence Berkeley National Laboratory13, Johns Hopkins University14, Harvard University15, Austin Peay State University16, University of Tokyo17, Apache Corporation18, Pennsylvania State University19, University of Chicago20
TL;DR: In this article, a polynomial model for estimating the metallicity and rotational velocity distributions of SDSS spectra was proposed, which is similar to random and systematic uncertainties in spectroscopic determinations.
Abstract: In addition to optical photometry of unprecedented quality, the Sloan Digital Sky Survey (SDSS) is producing a massive spectroscopic database which already contains over 280,000 stellar spectra. Using eectiv e temperature and metallicity derived from SDSS spectra for 60,000 F and G type main sequence stars (0:2 < g r < 0:6), we develop polynomial models, reminiscent of traditional methods based on the UBV photometry, for estimating these parameters from the SDSS u g and g r colors. These estimators reproduce SDSS spectroscopic parameters with a root-mean-square scatter of 100 K for eectiv e temperature, and 0.2 dex for metallicity (limited by photometric errors), which are similar to random and systematic uncertainties in spectroscopic determinations. We apply this method to a photometric catalog of coadded SDSS observations and study the photometric metallicity distribution of 200,000 F and G type stars observed in 300 deg 2 of high Galactic latitude sky. These deeper (g < 20:5) and photometrically precise ( 0.01 mag) coadded data enable an accurate measurement of the unbiased metallicity distribution for a complete volume-limited sample of stars at distances between 500 pc and 8 kpc. The metallicity distribution can be exquisitely modeled using two components with a spatially varying number ratio, that correspond to disk and halo. The best-t number ratio of the two components is consistent with that implied by the decomposition of stellar counts proles into exponential disk and power-law halo components by Juri c et al. (2008). The two components also possess the kinematics expected for disk and halo stars. The metallicity of the halo component can be modeled as a spatially invariant Gaussian distribution with a mean of [F e=H] = 1:46 and a standard deviation of 0.3 dex. The disk metallicity distribution is non-Gaussian, with a remarkably small scatter (rms 0.16 dex) and the median smoothly decreasing with distance from the plane from 0:6 at 500 pc to 0:8 beyond several kpc. Similarly, we nd using proper motion measurements that a nonGaussian rotational velocity distribution of disk stars shifts by 50 km/s as the distance from the plane increases from 500 pc to several kpc. Despite this similarity, the metallicity and rotational velocity distributions of disk stars are not correlated (Kendall’s = 0:017 0:018). This absence of a correlation between metallicity and kinematics for disk stars is in a conict with the traditional decomposition in terms of thin and thick disks, which predicts a strong correlation ( = 0:30 0:04) at 1 kpc from the mid-plane. Instead, the variation of the metallicity and rotational velocity distributions can be modeled using non-Gaussian functions that retain their shapes and only shift as the distance from the mid-plane increases. We also study the metallicity distribution using a shallower (g < 19:5) but much larger sample of close to three million stars in 8500 sq. deg. of sky included in SDSS Data Release 6. The large sky coverage enables the detection of coherent substructures in the kinematics{ metallicity space, such as the Monoceros stream, which rotates faster than the LSR, and has a median metallicity of [F e=H] = 0:95, with an rms scatter of only 0.15 dex. We extrapolate our results to the performance expected from the Large Synoptic Survey Telescope (LSST) and estimate that LSST will obtain metallicity measurements accurate to 0.2 dex or better, with proper motion measurements accurate to 0.2-0.5 mas/yr, for about 200 million F/G dwarf stars within a distance limit of 100 kpc (g < 23:5). Subject headings: methods: data analysis | stars: statistics | Galaxy: halo, kinematics and dynamics, stellar content, structure
649 citations
Authors
Showing all 17388 results
Name | H-index | Papers | Citations |
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David Miller | 203 | 2573 | 204840 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
James M. Tour | 143 | 859 | 91364 |
Carmen García | 139 | 1503 | 96925 |
Bernt Schiele | 130 | 568 | 70032 |
Vladimir Cindro | 129 | 1157 | 82000 |
Teresa Barillari | 129 | 984 | 78782 |
Sven Menke | 129 | 1121 | 82034 |
Horst Oberlack | 129 | 985 | 80069 |
Hubert Kroha | 129 | 1126 | 80746 |
Peter Schacht | 129 | 1030 | 80092 |
Siegfried Bethke | 129 | 1266 | 103520 |
Igor Mandić | 128 | 1065 | 79498 |
Stefan Kluth | 128 | 1261 | 84534 |
Andrej Gorišek | 128 | 951 | 67830 |