@article{17080, author = {{Wiebeler, Christian and Rao, Aditya G. and Gärtner, Wolfgang and Schapiro, Igor}}, issn = {{1433-7851}}, journal = {{Angewandte Chemie International Edition}}, keywords = {{pc2-ressources}}, pages = {{1934--1938}}, title = {{{The Effective Conjugation Length Is Responsible for the Red/Green Spectral Tuning in the Cyanobacteriochrome Slr1393g3}}}, doi = {{10.1002/anie.201810266}}, year = {{2018}}, } @inproceedings{11872, abstract = {{The weighted prediction error (WPE) algorithm has proven to be a very successful dereverberation method for the REVERB challenge. Likewise, neural network based mask estimation for beamforming demonstrated very good noise suppression in the CHiME 3 and CHiME 4 challenges. Recently, it has been shown that this estimator can also be trained to perform dereverberation and denoising jointly. However, up to now a comparison of a neural beamformer and WPE is still missing, so is an investigation into a combination of the two. Therefore, we here provide an extensive evaluation of both and consequently propose variants to integrate deep neural network based beamforming with WPE. For these integrated variants we identify a consistent word error rate (WER) reduction on two distinct databases. In particular, our study shows that deep learning based beamforming benefits from a model-based dereverberation technique (i.e. WPE) and vice versa. Our key findings are: (a) Neural beamforming yields the lower WERs in comparison to WPE the more channels and noise are present. (b) Integration of WPE and a neural beamformer consistently outperforms all stand-alone systems.}}, author = {{Drude, Lukas and Boeddeker, Christoph and Heymann, Jahn and Kinoshita, Keisuke and Delcroix, Marc and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}}, booktitle = {{INTERSPEECH 2018, Hyderabad, India}}, title = {{{Integration neural network based beamforming and weighted prediction error dereverberation}}}, year = {{2018}}, } @inproceedings{11873, abstract = {{NARA-WPE is a Python software package providing implementations of the weighted prediction error (WPE) dereverberation algorithm. WPE has been shown to be a highly effective tool for speech dereverberation, thus improving the perceptual quality of the signal and improving the recognition performance of downstream automatic speech recognition (ASR). It is suitable both for single-channel and multi-channel applications. The package consist of (1) a Numpy implementation which can easily be integrated into a custom Python toolchain, and (2) a TensorFlow implementation which allows integration into larger computational graphs and enables backpropagation through WPE to train more advanced front-ends. This package comprises of an iterative offline (batch) version, a block-online version, and a frame-online version which can be used in moderately low latency applications, e.g. digital speech assistants.}}, author = {{Drude, Lukas and Heymann, Jahn and Boeddeker, Christoph and Haeb-Umbach, Reinhold}}, booktitle = {{ITG 2018, Oldenburg, Germany}}, title = {{{NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing}}}, year = {{2018}}, } @article{15876, author = {{Camberg, Alan Adam and Engelkemeier, Katja and Dietrich, Jan and Heggemann, Thomas}}, issn = {{2510-2877}}, journal = {{Lightweight Design worldwide}}, number = {{2}}, pages = {{24--29}}, publisher = {{Springer Vieweg}}, title = {{{Top-down design of tailored fiber-metal laminates}}}, doi = {{10.1007/s41777-018-0004-1}}, volume = {{11}}, year = {{2018}}, } @unpublished{16293, abstract = {{Kernel transfer operators, which can be regarded as approximations of transfer operators such as the Perron-Frobenius or Koopman operator in reproducing kernel Hilbert spaces, are defined in terms of covariance and cross-covariance operators and have been shown to be closely related to the conditional mean embedding framework developed by the machine learning community. The goal of this paper is to show how the dominant eigenfunctions of these operators in combination with gradient-based optimization techniques can be used to detect long-lived coherent patterns in high-dimensional time-series data. The results will be illustrated using video data and a fluid flow example.}}, author = {{Klus, Stefan and Peitz, Sebastian and Schuster, Ingmar}}, booktitle = {{arXiv:1805.10118}}, title = {{{Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions}}}, year = {{2018}}, } @article{16313, author = {{Burkhardt, Lukas and Mueller, Carsten and Groß, Oliver A. and Sun, Yu and Sitzmann, Helmut and Bauer, Matthias}}, issn = {{0020-1669}}, journal = {{Inorganic Chemistry}}, pages = {{6609--6618}}, title = {{{The Bonding Situation in the Dinuclear Tetra-Hydrido Complex [{5CpFe}2(μ-H)4] Revisited by Hard X-Ray Spectroscopy}}}, doi = {{10.1021/acs.inorgchem.8b03032}}, year = {{2018}}, } @article{16316, author = {{Zimmer, Peter and Burkhardt, Lukas and Schepper, Rahel and Zheng, Kaibo and Gosztola, David and Neuba, Adam and Flörke, Ulrich and Wölper, Christoph and Schoch, Roland and Gawelda, Wojciech and Canton, Sophie E. and Bauer, Matthias}}, issn = {{1434-1948}}, journal = {{European Journal of Inorganic Chemistry}}, pages = {{5203--5214}}, title = {{{Towards Noble-Metal-Free Dyads: Ground and Excited State Tuning by a Cobalt Dimethylglyoxime Motif Connected to an Iron N-Heterocyclic Carbene Photosensitizer}}}, doi = {{10.1002/ejic.201800946}}, year = {{2018}}, } @phdthesis{16328, author = {{Zimmer, Peter}}, title = {{{ Eisenbasierte Photosensitizer für die Photokatalyse / vorgelegt von Dipl.-Chem. Peter Zimmer ; [Prof. Dr. Thomas Kühne (Vorsitz), Prof. Dr. Matthias Bauer (Erstgutachter), Jun.-Prof. Dr. Stephan Hohloch (Zweitgutachter), Priv.-Doz. Dr. Hans Egold]}}}, doi = {{10.17619/UNIPB/1-426}}, year = {{2018}}, } @phdthesis{16330, author = {{Schepper, Rahel}}, title = {{{High energy resolution X-ray absorption and emission based studies on the mononuclear spin crossover complex [Fe(L-N4Bn2)(NCS)2] / vorgelegt von Dipl.-Chem. Rahel Schepper ; [Prof. Dr.-Ing. Hans-Joachim Warnecke (Kommissionsvorsitz), Prof. Dr. Matthias Bauer (Erstgutachter), Jun.-Prof. Dr. Stephan Hohloch (Zweitgutachter), Prof. Dr. Thomas Kühne (Drittprüfer)]}}}, doi = {{10.17619/UNIPB/1-421 }}, year = {{2018}}, } @article{13155, author = {{Tanaka, Shunji and Tierney, Kevin}}, issn = {{0377-2217}}, journal = {{European Journal of Operational Research}}, keywords = {{OR in maritime industry, Container pre-marshalling, Terminal operations}}, number = {{1}}, pages = {{165 -- 180}}, title = {{{Solving Real-World Sized Container Pre-Marshalling Problems with an Iterative Deepening Branch-and-Bound Algorithm}}}, doi = {{https://doi.org/10.1016/j.ejor.2017.05.046}}, volume = {{264}}, year = {{2018}}, } @article{13186, abstract = {{Ligands DMEG6etqu, TMG6etqu, DMEG6buqu, and TMG6buqu were developed on the basis of guanidine quinoline (GUAqu) ligands 1,3-dimethyl-N-(quinolin-8-yl)imidazolidin-2-imine (DMEGqu) and 1,1,3,3-tetramethyl-2-(quinolin-8-yl)guanidine (TMGqu). These ligands feature an alkyl substituent at the C6 of the quinoline backbone. The synthetic strategy developed here enables inexpensive syntheses of any kind of C6-substituted GUAqu ligands. On one hand, the alkylation increases the solubility of corresponding copper complexes in apolar atom transfer radical polymerization (ATRP) monomers like styrene. On the other hand, it has a significant electronic influence and thus an effect on the donor properties of the new ligands. Seven CuI and CuII complexes of DMEG6etqu and TMG6etqu have been crystallized and were studied with regard to their structural and electrochemical properties. CuI and CuII complexes of DMEG6buqu and TMG6buqu turned out to be perfectly soluble in pure styrene even at room temperature, which makes them excellent catalysts in the ATRP of apolar monomers. The key characteristics of the ATRP equilibrium, KATRP and kact, were determined for the new complexes. In addition, we used our recently developed DFT methodology, NBO analysis, and isodesmic reactions to predict the influence of the introduced alkyl substituents. It turned out that high conformational freedom in the complex structures leads to a significant uncertainty in prediction of the thermodynamic properties.}}, author = {{Rösener, Thomas and Hoffmann, Alexander and Herres-Pawlis, Sonja}}, journal = {{European Journal of Inorganic Chemistry}}, keywords = {{Copper, Polymerization, Redox chemistry, Structure elucidation, Ligand effects}}, number = {{27}}, pages = {{3164--3175}}, title = {{{Next Generation of Guanidine Quinoline Copper Complexes for Highly Controlled ATRP: Influence of Backbone Substitution on Redox Chemistry and Solubility}}}, doi = {{10.1002/ejic.201800511}}, volume = {{2018}}, year = {{2018}}, } @article{13248, author = {{Tierney, Kevin and Ehmke, Jan Fabian and Campbell, Ann Melissa and Müller, Daniel}}, issn = {{1936-6582}}, journal = {{Flexible Services and Manufacturing Journal}}, pages = {{620--652}}, title = {{{Liner Shipping Single Service Design Problem with Arrival Time Service Levels}}}, doi = {{10.1007/s10696-018-9325-y}}, year = {{2018}}, } @inproceedings{13249, abstract = {{We revisit algorithm selection for declarative programming solvers. We introduce two main ideas to improve cost-sensitive hierarchical clustering: First, to augment the portfolio builder with a self-configuration component. And second, we propose that the algorithm selector assesses the confidence level of its own prediction, so that a more defensive recourse action can be used to overturn the original recommendation.}}, author = {{Ansotegui, Carlos and Sellmann, Meinolf and Tierney, Kevin}}, booktitle = {{Principles and Practice of Constraint Programming}}, editor = {{Hooker, John}}, isbn = {{978-3-319-98334-9}}, pages = {{524--534}}, publisher = {{Springer International Publishing}}, title = {{{Self-configuring Cost-Sensitive Hierarchical Clustering with Recourse}}}, year = {{2018}}, } @article{13275, author = {{Mausbach, Peter and Köster, Andreas and Vrabec, Jadran}}, journal = {{Phys. Rev. E}}, number = {{5}}, pages = {{052149}}, publisher = {{American Physical Society}}, title = {{{Liquid State Isomorphism, Rosenfeld-Tarazona Temperature Scaling, and Riemannian Thermodynamic Geometry}}}, doi = {{10.1103/PhysRevE.97.052149}}, volume = {{97}}, year = {{2018}}, } @article{13291, author = {{Zargaleh, S. A. and von Bardeleben, H. J. and Cantin, J. L. and Gerstmann, Uwe and Hameau, S. and Ebl\'e, B. and Gao, Weibo}}, journal = {{Phys. Rev. B}}, number = {{21}}, pages = {{214113}}, publisher = {{American Physical Society}}, title = {{{Electron Paramagnetic Resonance Tagged High-Resolution Excitation Spectroscopy of NV-Centers in 4H-SiC}}}, doi = {{10.1103/PhysRevB.98.214113}}, volume = {{98}}, year = {{2018}}, } @article{13439, author = {{Camberg, Alan Adam and Bohner, F and Tölle, J and Schneidt, A and Meiners, S and Tröster, Thomas}}, issn = {{1757-899X}}, journal = {{IOP Conference Series: Materials Science and Engineering}}, title = {{{Formability enhancement of EN AW-5182 H18 aluminum alloy sheet metal parts in a flash forming process: testing, calibration and evaluation of fracture models}}}, doi = {{10.1088/1757-899x/418/1/012018}}, year = {{2018}}, } @article{10013, abstract = {{Ultrafast nonequilibrium dynamics offer a route to study the microscopic interactions that govern macroscopic behavior. In particular, photoinduced phase transitions (PIPTs) in solids provide a test case for how forces, and the resulting atomic motion along a reaction coordinate, originate from a nonequilibrium population of excited electronic states. Using femtosecond photoemission, we obtain access to the transient electronic structure during an ultrafast PIPT in a model system: indium nanowires on a silicon(111) surface. We uncover a detailed reaction pathway, allowing a direct comparison with the dynamics predicted by ab initio simulations. This further reveals the crucial role played by localized photoholes in shaping the potential energy landscape and enables a combined momentum- and real-space description of PIPTs, including the ultrafast formation of chemical bonds.}}, author = {{Nicholson, C. W. and Lücke, A. and Schmidt, Wolf Gero and Puppin, M. and Rettig, L. and Ernstorfer, R. and Wolf, M.}}, issn = {{0036-8075}}, journal = {{Science}}, pages = {{821--825}}, title = {{{Beyond the molecular movie: Dynamics of bands and bonds during a photoinduced phase transition}}}, doi = {{10.1126/science.aar4183}}, year = {{2018}}, } @article{10016, author = {{Paszkiewicz, Mateusz and Biktagirov, Timur and Aldahhak, Hazem and Allegretti, Francesco and Rauls, Eva and Schöfberger, Wolfgang and Schmidt, Wolf Gero and Barth, Johannes V. and Gerstmann, Uwe and Klappenberger, Florian}}, issn = {{1948-7185}}, journal = {{The Journal of Physical Chemistry Letters}}, pages = {{6412--6420}}, title = {{{Unraveling the Oxidation and Spin State of Mn–Corrole through X-ray Spectroscopy and Quantum Chemical Analysis}}}, doi = {{10.1021/acs.jpclett.8b02525}}, year = {{2018}}, } @article{10019, author = {{Aldahhak, Hazem and Paszkiewicz, M. and Rauls, E. and Allegretti, F. and Tebi, S. and Papageorgiou, A. C. and Zhang, Y.-Q. and Zhang, L. and Lin, T. and Paintner, T. and Koch, R. and Schmidt, Wolf Gero and Barth, J. V. and Schöfberger, W. and Müllegger, S. and Klappenberger, F. and Gerstmann, Uwe}}, issn = {{0947-6539}}, journal = {{Chemistry - A European Journal}}, pages = {{6787--6797}}, title = {{{Identifying On-Surface Site-Selective Chemical Conversions by Theory-Aided NEXAFS Spectroscopy: The Case of Free-Base Corroles on Ag(111)}}}, doi = {{10.1002/chem.201705921}}, year = {{2018}}, } @inproceedings{29029, author = {{Fathi Ahmed, Abdullah and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Proceedings of Ontology Matching Workshop 2018}}, keywords = {{2018 simba dice radon abdullah sherif ngonga slipo sage geiser hobbit group\_aksw sys:relevantFor:infai sys:relevantFor:bis limes linkinglod sake diesel sys:relevantFor:leds leds}}, title = {{{RADON2: A buffered-Intersection Matrix Computing Approach To Accelerate Link Discovery Over Geo-Spatial RDF Knowledge Bases (OAEI2018 Results)}}}, year = {{2018}}, }