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Institution

Technical University of Berlin

EducationBerlin, Germany
About: Technical University of Berlin is a education organization based out in Berlin, Germany. It is known for research contribution in the topics: Quantum dot & Laser. The organization has 27292 authors who have published 59342 publications receiving 1414623 citations. The organization is also known as: Technische Universität Berlin & TU Berlin.


Papers
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Proceedings ArticleDOI
15 Feb 2007
TL;DR: A definition of intuitivity is given and a continuum of knowledge serving as a classification for intuitive interaction is presented: image schemas and their metaphorical extensions.
Abstract: One of the goals of tangible interaction is to build more intuitive interfaces. This paper gives a definition of intuitivity and presents a continuum of knowledge serving as a classification for intuitive interaction. Against the background of the continuum recent taxonomies for tangible interaction are reviewed. A new approach for classifying tangible interaction will be presented: image schemas and their metaphorical extensions. Motivated by linguistic studies of meaning this taxonomy is able to overcome some limitations of previous approaches. The taxonomy is illustrated with examples of using image schemas and their metaphorical extensions in potential TUI applications. A more complex example, the Tangible Memories Box, shows how our taxonomy and earlier approaches may complement each other.

213 citations

Journal ArticleDOI
TL;DR: It was concluded that the catalytic formation of methanol over ZnO is a structure-sensitive reaction requiring the presence of polarZnO facets, and the rational design of catalysts is still out of reach.
Abstract: Metal oxides are highly important as components in heterogeneous catalysts. It is also well established that as the building blocks of nanoscaled materials get smaller, surfaces become increasingly important in determining their properties. Very early on, researchers found that catalytic activity is only indirectly related to the surface area; in fact it depends on the density of active sites. Although solid-state defects have been proposed to be the active sites in heterogeneous catalysis, active centers have rarely been conclusively identified and the rational design of catalysts is still out of reach. Processes in heterogeneous catalysis associated with the production of energy-storage molecules, for example, methanol as a storage molecule for hydrogen, is presently of great interest. Low-pressure production of methanol is conducted industrially with catalysts containing Cu and ZnO as the active phases and alumina as the support. Composites (Cu + ZnO), however, exhibit higher activities than that expected based on the performance of the single components. This was attributed to a strong metal–support interaction (SMSI) effect. Nevertheless, the active sites in Cu/ZnO and even in the pure ZnO have not yet been identified experimentally. Some important information concerning pure ZnO catalysts is already available: Generally, the catalytic activity of ZnO does not increase linearly with the increasing BET surface area. It was concluded that the catalytic formation of methanol over ZnO is a structure-sensitive reaction requiring the presence of polar ZnO facets. According to the most recent models of the methanol-synthesis reaction on the polar ZnO(0001) surface, oxygen vacancies formed on this surface of ZnO crystals serve as the active sites (Scheme 1). However, there has been no definite experimental proof for this assumption.

213 citations

Journal ArticleDOI
TL;DR: In this article, a working party of the Study Commission on Cattle Production of the European Association for Animal Production has established reference methods for the assessment of carcass characteristics in cattle.

212 citations

Journal ArticleDOI
TL;DR: It is demonstrated that sucrose responsiveness in honey bees can be modulated by biogenic amines, which has far reaching consequences for other types of behaviour in this insect.

212 citations

Journal ArticleDOI
TL;DR: It is found that spelling errors, text length and the mentioning of positive emotion evoking keywords predict the funding probability on the less restrictive of both platforms, which even accepts applications without credit scores.
Abstract: We examine the relation of soft factors that are derived from the description texts to the probability of successful funding and to the default probability in peer-to-peer lending for two leading European platforms. We find that spelling errors, text length and the mentioning of positive emotion evoking keywords predict the funding probability on the less restrictive of both platforms, which even accepts applications without credit scores. This platform also shows a better risk-return profile. Conditional on being funded, text-related factors hardly predict default probabilities in peer-to-peer lending for both platforms.

212 citations


Authors

Showing all 27602 results

NameH-indexPapersCitations
Markus Antonietti1761068127235
Jian Li133286387131
Klaus-Robert Müller12976479391
Michael Wagner12435154251
Shi Xue Dou122202874031
Xinchen Wang12034965072
Michael S. Feld11955251968
Jian Liu117209073156
Ary A. Hoffmann11390755354
Stefan Grimme113680105087
David M. Karl11246148702
Lester Packer11275163116
Andreas Heinz108107845002
Horst Weller10545144273
G. Hughes10395746632
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023191
2022650
20213,307
20203,387
20193,105
20182,910