Institution
Leibniz University of Hanover
Education•Hanover, Niedersachsen, Germany•
About: Leibniz University of Hanover is a education organization based out in Hanover, Niedersachsen, Germany. It is known for research contribution in the topics: Finite element method & Population. The organization has 14283 authors who have published 29845 publications receiving 682152 citations.
Topics: Finite element method, Population, Laser, Gravitational wave, Membrane
Papers published on a yearly basis
Papers
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TL;DR: The field of metal–organic framework based mixed matrix membranes (M4s) is critically reviewed, with special emphasis on their application in CO2 capture during energy generation.
Abstract: The field of metal–organic framework based mixed matrix membranes (M4s) is critically reviewed, with special emphasis on their application in CO2 capture during energy generation. After introducing the most relevant parameters affecting membrane performance, we define targets in terms of selectivity and productivity based on existing literature on process design for pre- and post-combustion CO2 capture. Subsequently, the state of the art in M4s is reviewed against these targets. Because final application of these membranes will only be possible if thin separation layers can be produced, the latest advances in the manufacture of M4 hollow fibers are discussed. Finally, the recent efforts in understanding the separation performance of these complex composite materials and future research directions are outlined.
673 citations
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TL;DR: The remarkable progress made in the preparation and characterization of zeolite membranes during the last few years has stimulated several industrial R&D projects exploiting the shape-selectivity of ZO membranes in mass separation as mentioned in this paper.
665 citations
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TL;DR: The authors examined consumer confidence as a proxy for individual investor sentiment and found that when sentiment is high, future stock returns tend to be lower and vice versa, and employed a cross-sectional perspective and provided evidence that the impact of sentiment on stock returns is higher for countries which have less market integrity and which are culturally more prone to herd-like behavior and overreaction.
658 citations
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08 Sep 2018TL;DR: This work proposes a method that combines a single hand-held camera and a set of Inertial Measurement Units (IMUs) attached at the body limbs to estimate accurate 3D poses in the wild and obtains an accuracy of 26 mm, which makes it accurate enough to serve as a benchmark for image-based 3D pose estimation in theWild.
Abstract: In this work, we propose a method that combines a single hand-held camera and a set of Inertial Measurement Units (IMUs) attached at the body limbs to estimate accurate 3D poses in the wild. This poses many new challenges: the moving camera, heading drift, cluttered background, occlusions and many people visible in the video. We associate 2D pose detections in each image to the corresponding IMU-equipped persons by solving a novel graph based optimization problem that forces 3D to 2D coherency within a frame and across long range frames. Given associations, we jointly optimize the pose of a statistical body model, the camera pose and heading drift using a continuous optimization framework. We validated our method on the TotalCapture dataset, which provides video and IMU synchronized with ground truth. We obtain an accuracy of 26 mm, which makes it accurate enough to serve as a benchmark for image-based 3D pose estimation in the wild. Using our method, we recorded 3D Poses in the Wild (3DPW), a new dataset consisting of more than 51, 000 frames with accurate 3D pose in challenging sequences, including walking in the city, going up-stairs, having coffee or taking the bus. We make the reconstructed 3D poses, video, IMU and 3D models available for research purposes at http://virtualhumans.mpi-inf.mpg.de/3DPW.
649 citations
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TL;DR: This work proposes the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard, to facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters.
Abstract: A wide variety of enzymatic pathways that produce specialized metabolites in bacteria, fungi and plants are known to be encoded in biosynthetic gene clusters. Information about these clusters, pathways and metabolites is currently dispersed throughout the literature, making it difficult to exploit. To facilitate consistent and systematic deposition and retrieval of data on biosynthetic gene clusters, we propose the Minimum Information about a Biosynthetic Gene cluster (MIBiG) data standard.
633 citations
Authors
Showing all 14621 results
Name | H-index | Papers | Citations |
---|---|---|---|
Hyun-Chul Kim | 176 | 4076 | 183227 |
Peter Zoller | 134 | 734 | 76093 |
J. R. Smith | 134 | 1335 | 107641 |
Chao Zhang | 127 | 3119 | 84711 |
Benjamin William Allen | 124 | 807 | 87750 |
J. F. J. van den Brand | 123 | 777 | 93070 |
J. H. Hough | 117 | 904 | 89697 |
Hans-Peter Seidel | 112 | 1213 | 51080 |
Karsten Danzmann | 112 | 754 | 80032 |
Bruce D. Hammock | 111 | 1409 | 57401 |
Benno Willke | 109 | 508 | 74673 |
Roman Schnabel | 108 | 589 | 71938 |
Jan Harms | 108 | 447 | 76132 |
Hartmut Grote | 108 | 434 | 72781 |
Ik Siong Heng | 107 | 423 | 71830 |