Institution
Technische Universität Darmstadt
Education•Darmstadt, Germany•
About: Technische Universität Darmstadt is a education organization based out in Darmstadt, Germany. It is known for research contribution in the topics: Computer science & Context (language use). The organization has 17316 authors who have published 40619 publications receiving 937916 citations. The organization is also known as: Darmstadt University of Technology & University of Darmstadt.
Papers published on a yearly basis
Papers
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TL;DR: A new serious gaming approach based on Building Information Modeling (BIM) for the exploration of the effect of building condition on human behavior during the evacuation process and the inter-operability between building information modeling applications and serious gaming platforms is presented.
233 citations
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TL;DR: This Review describes the basic properties of gas vesicles, the genes that encode them and how their production is regulated, and discusses the function of these vesicle structures and the initial attempts to exploit them for biotechnological purposes.
Abstract: A range of bacteria and archaea produce intracellular gas-filled proteinaceous structures that function as flotation devices in order to maintain a suitable depth in the aqueous environment. The wall of these gas vesicles is freely permeable to gas molecules and is composed of a small hydrophobic protein, GvpA, which forms a single-layer wall. In addition, several minor structural, accessory or regulatory proteins are required for gas vesicle formation. In different organisms, 8-14 genes encoding gas vesicle proteins have been identified, and their expression has been shown to be regulated by environmental factors. In this Review, I describe the basic properties of gas vesicles, the genes that encode them and how their production is regulated. I also discuss the function of these vesicles and the initial attempts to exploit them for biotechnological purposes.
233 citations
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TL;DR: The Saharan Mineral Dust Experiment (SAMUM) project as discussed by the authors has been used to study the impact of Saharan dust on radiative transfer and the feedback of radiative effects upon dust emission and aerosol transport.
Abstract: Two comprehensive field campaigns were conducted in 2006 and 2008 in the framework of the Saharan Mineral Dust Experiment (SAMUM) project. The relationship between chemical composition, shape morphology, size distribution and optical effects of the dust particles was investigated. The impact of Saharan dust on radiative transfer and the feedback of radiative effects upon dust emission and aerosol transport were studied. Field observations (ground-based, airborne and remote sensing) and modelling results were compared within a variety of dust closure experiments with a strong focus on vertical profiling. For the first time, multiwavelength Raman/polarization lidars and an airborne high spectral resolution lidar were involved in major dust field campaigns and provided profiles of the volume extinction coefficient of the particles at ambient conditions (for the full dust size distribution), of particle-shape-sensitive optical properties at several wavelengths, and a clear separation of dust and smoke profiles allowing for an estimation of the single-scattering albedo of the biomass-burning aerosol. SAMUM–1 took place in southern Morocco close to the Saharan desert in the summer of 2006, whereas SAMUM–2 was conducted in Cape Verde in the outflow region of desert dust and biomass-burning smoke from western Africa in the winter of 2008. This paper gives an overview of the SAMUM concept, strategy and goals, provides snapshots (highlights) of SAMUM–2 observations and modelling efforts, summarizes main findings of SAMUM–1 and SAMUM–2 and finally presents a list of remaining problems and unsolved questions.
233 citations
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TL;DR: It is proved here that the mean number and mean length of attractors in critical random Boolean networks with connectivity one both increase faster than any power law with network size.
Abstract: The Kauffman model describes a system of randomly connected nodes with dynamics based on Boolean update functions. Though it is a simple model, it exhibits very complex behavior for "critical" parameter values at the boundary between a frozen and a disordered phase, and is therefore used for studies of real network problems. We prove here that the mean number and mean length of attractors in critical random Boolean networks with connectivity one both increase faster than any power law with network size. We derive these results by generating the networks through a growth process and by calculating lower bounds.
232 citations
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K. Aamodt1, A. Abrahantes Quintana, Dagmar Adamová2, Andrew Marshall Adare3 +913 more•Institutions (77)
TL;DR: The first measurement of two-pion Bose-Einstein correlations in central Pb-Pb collisions at root(NN)-N-S = 2.76 TeV at the Large Hadron Collider is presented in this article.
232 citations
Authors
Showing all 17627 results
Name | H-index | Papers | Citations |
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Yang Gao | 168 | 2047 | 146301 |
Herbert A. Simon | 157 | 745 | 194597 |
Stephen Boyd | 138 | 822 | 151205 |
Jun Chen | 136 | 1856 | 77368 |
Harold A. Mooney | 135 | 450 | 100404 |
Bernt Schiele | 130 | 568 | 70032 |
Sascha Mehlhase | 126 | 858 | 70601 |
Yuri S. Kivshar | 126 | 1845 | 79415 |
Michael Wagner | 124 | 351 | 54251 |
Wolf Singer | 124 | 580 | 72591 |
Tasawar Hayat | 116 | 2364 | 84041 |
Edouard Boos | 116 | 757 | 64488 |
Martin Knapp | 106 | 1067 | 48518 |
T. Kuhl | 101 | 761 | 40812 |
Peter Braun-Munzinger | 100 | 527 | 34108 |