@article{47751,
  author       = {{Bartz, Christina}},
  journal      = {{POP. Kultur & Kritik}},
  pages        = {{18--24}},
  title        = {{{Kochen und Nachkochen}}},
  volume       = {{14}},
  year         = {{2019}},
}

@article{47948,
  abstract     = {{Mach-Zehnder electro-optic modulators (EOM) based on thin-film lithium niobate bonded to a silicon photonic waveguide circuit have been shown to achieve very high modulation bandwidths. Open eye-diagram measurements made in the time domain of beyond-small-signal modulation are used to support the modulation-sideband measurements in showing that such EOM’s can support high-frequency modulations well beyond 100 GHz.}},
  author       = {{Wang, Xiaoxi and Weigel, Peter O. and Zhao, Jie and Rüsing, Michael and Mookherjea, Shayan}},
  issn         = {{2378-0967}},
  journal      = {{APL Photonics}},
  keywords     = {{Computer Networks and Communications, Atomic and Molecular Physics, and Optics}},
  number       = {{9}},
  publisher    = {{AIP Publishing}},
  title        = {{{Achieving beyond-100-GHz large-signal modulation bandwidth in hybrid silicon photonics Mach Zehnder modulators using thin film lithium niobate}}},
  doi          = {{10.1063/1.5115243}},
  volume       = {{4}},
  year         = {{2019}},
}

@inproceedings{47950,
  author       = {{Zhao, Jie and Ma, Chaoxuan and Rüsing, Michael and Mookherjea, Shayan}},
  location     = {{Washington, D.C., USA}},
  title        = {{{High-quality photon-pair and heralded single-photon generation using periodically-poled thin-film lithium niobate}}},
  doi          = {{10.1364/FIO.2019.FTu6A.3}},
  year         = {{2019}},
}

@inbook{31142,
  author       = {{Schuster, Britt-Marie}},
  booktitle    = {{Textgliederungsprinzipien. Ihre Kennzeichnungsformen und Funktionen in Texten vom 8. bis 18. Jahrhundert. Akten zum Internationalen Kongress an der Staatlichen Universität St. Petersburg vom 22. bis 24. Juni 2017}},
  editor       = {{Simmler, Franz  and Baeva, Galina}},
  keywords     = {{Textsortengeschichte}},
  pages        = {{293–312}},
  publisher    = {{WEIDLER}},
  title        = {{{Textgliederungsprinzipien und Beziehungsgestaltung im Stammbuch von 1559–1878}}},
  year         = {{2019}},
}

@inbook{31134,
  author       = {{Schuster, Britt-Marie}},
  booktitle    = {{Linguistische Kulturanalyse}},
  editor       = {{ Schröter, Juliane and Tienken, Susanne  and  Ilg, Yvonne and  Scharloth,  Joachim and Bubenhofer, Noah }},
  keywords     = {{Kommunikationsgeschichte, Kulturanalytische Linguistik}},
  pages        = {{195–218}},
  publisher    = {{de Gruyter}},
  title        = {{{Meines Vaters Haus und des Trainers Credo. Eine kulturanalytische Untersuchung pränominaler Genitivattribute.}}},
  year         = {{2019}},
}

@inbook{31138,
  author       = {{Schuster, Britt-Marie}},
  booktitle    = {{Handbuch Sprache in der Geschichte (Handbuchreihe „Sprache und Wissen“ )}},
  editor       = {{Bär, Jochen and Lobenstein-Reichmann , Anja and Riecke , Jörg }},
  keywords     = {{Textsortengeschichte}},
  pages        = {{219–240}},
  publisher    = {{de Gruyter}},
  title        = {{{Sprachgeschichte als Geschichte von Texten}}},
  volume       = {{8}},
  year         = {{2019}},
}

@inbook{31136,
  author       = {{Schuster, Britt-Marie}},
  booktitle    = {{Feilke Revisited. 60 Stellenbesuche}},
  editor       = {{Lehnen, Katrin and Pohl, Thorsten and Rezat, Sara and Steinhoff, Torsten and Steinseifer , Martin }},
  keywords     = {{Kommunikationsgeschichte}},
  pages        = {{S. 221–224}},
  publisher    = {{universi}},
  title        = {{{Nähesprachliche Prozeduren in der Distanzkommunikation}}},
  year         = {{2019}},
}

@inbook{46336,
  abstract     = {{Choosing the best-performing optimizer(s) out of a portfolio of optimization algorithms is usually a difficult and complex task. It gets even worse, if the underlying functions are unknown, i.e., so-called black-box problems, and function evaluations are considered to be expensive. In case of continuous single-objective optimization problems, exploratory landscape analysis (ELA), a sophisticated and effective approach for characterizing the landscapes of such problems by means of numerical values before actually performing the optimization task itself, is advantageous. Unfortunately, until now it has been quite complicated to compute multiple ELA features simultaneously, as the corresponding code has been—if at all—spread across multiple platforms or at least across several packages within these platforms. This article presents a broad summary of existing ELA approaches and introduces flacco, an R-package for feature-based landscape analysis of continuous and constrained optimization problems. Although its functions neither solve the optimization problem itself nor the related algorithm selection problem (ASP), it offers easy access to an essential ingredient of the ASP by providing a wide collection of ELA features on a single platform—even within a single package. In addition, flacco provides multiple visualization techniques, which enhance the understanding of some of these numerical features, and thereby make certain landscape properties more comprehensible. On top of that, we will introduce the package’s built-in, as well as web-hosted and hence platform-independent, graphical user interface (GUI). It facilitates the usage of the package—especially for people who are not familiar with R—and thus makes flacco a very convenient toolbox when working towards algorithm selection of continuous single-objective optimization problems.}},
  author       = {{Kerschke, Pascal and Trautmann, Heike}},
  booktitle    = {{Applications in Statistical Computing}},
  editor       = {{Bauer, Nadja and Ickstadt, Katja and Lübke, Karsten and Szepannek, Gero and Trautmann, Heike and Vichi, Maurizio}},
  pages        = {{93–123}},
  publisher    = {{Springer}},
  title        = {{{Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-package flacco}}},
  doi          = {{10.1007/978-3-030-25147-5_7}},
  year         = {{2019}},
}

@book{46335,
  author       = {{Trautmann, Heike}},
  isbn         = {{978-3-030-25147-5}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Applications in Statistical Computing — From Music Data Analysis to Industrial Quality Improvement}}},
  year         = {{2019}},
}

@article{46346,
  abstract     = {{In this article, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems' landscapes and show their effectiveness in automatically constructing algorithm selection models in continuous black-box optimization problems. Focusing on algorithm performance results of the COCO platform of several years, we construct a representative set of high-performing complementary solvers and present an algorithm selection model that, compared to the portfolio's single best solver, on average requires less than half of the resources for solving a given problem. Therefore, there is a huge gain in efficiency compared to classical ensemble methods combined with an increased insight into problem characteristics and algorithm properties by using informative features. The model acts on the assumption that the function set of the Black-Box Optimization Benchmark is representative enough for practical applications. The model allows for selecting the best suited optimization algorithm within the considered set for unseen problems prior to the optimization itself based on a small sample of function evaluations. Note that such a sample can even be reused for the initial population of an evolutionary (optimization) algorithm so that even the feature costs become negligible.}},
  author       = {{Kerschke, Pascal and Trautmann, Heike}},
  journal      = {{Evolutionary Computation (ECJ)}},
  number       = {{1}},
  pages        = {{99–127}},
  title        = {{{Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning}}},
  doi          = {{10.1162/evco_a_00236}},
  volume       = {{27}},
  year         = {{2019}},
}

@article{46347,
  abstract     = {{We continue recent work on the definition of multimodality in multiobjective optimization (MO) and the introduction of a test bed for multimodal MO problems. This goes beyond well-known diversity maintenance approaches but instead focuses on the landscape topology induced by the objective functions. More general multimodal MO problems are considered by allowing ellipsoid contours for single-objective subproblems. An experimental analysis compares two MO algorithms, one that explicitly relies on hypervolume gradient approximation, and one that is based on local search, both on a selection of generated example problems. We do not focus on performance but on the interaction induced by the problems and algorithms, which can be described by means of specific characteristics explicitly designed for the multimodal MO setting. Furthermore, we widen the scope of our analysis by additionally applying visualization techniques in the decision space. This strengthens and extends the foundations for Exploratory Landscape Analysis (ELA) in MO.}},
  author       = {{Kerschke, Pascal and Wang, Hao and Preuss, Mike and Grimme, Christian and Deutz, André and Trautmann, Heike and Emmerich, Michael}},
  journal      = {{Evolutionary Computation (ECJ)}},
  number       = {{4}},
  pages        = {{577–609}},
  title        = {{{Search Dynamics on Multimodal Multi-Objective Problems}}},
  doi          = {{10.1162/evco_a_00234}},
  volume       = {{27}},
  year         = {{2019}},
}

@inbook{48472,
  author       = {{Jacke, Christoph and Mendívil, Julio}},
  booktitle    = {{Heimatgedanken. Theologische und kulturwissenschaftliche Beiträge}},
  editor       = {{Brinkmann, Frank Thomas and Hammann, Johanna}},
  pages        = {{45--66}},
  publisher    = {{Springer VS}},
  title        = {{{Heimat 2.0. Über Konstruktionen und Imaginationen von Beheimatung in der deutschsprachigen Schlagermusik.}}},
  year         = {{2019}},
}

@inbook{48467,
  author       = {{Jacke, Christoph}},
  booktitle    = {{Die Sterne: Anfang verpasst. 1992-1999.}},
  publisher    = {{Tapete Records}},
  title        = {{{Politik, Coolness und Tanzbarkeit müssen kein Widerspruch sein: Eine Ent-Täuschung zur Bedeutung der Sterne.}}},
  year         = {{2019}},
}

@article{48473,
  author       = {{Jacke, Christoph}},
  journal      = {{Spex. Magazin für Popkultur.}},
  pages        = {{106}},
  title        = {{{Spex. Ausgaben 7/1995 und 8/1995.}}},
  volume       = {{384}},
  year         = {{2019}},
}

@inbook{48501,
  abstract     = {{<jats:p>Gathering knowledge not only of the current but also the upcoming wind speed is getting more and more important as the experience of operating and maintaining wind turbines is increasing. Not only with regards to operation and maintenance tasks such as gearbox and generator checks but moreover due to the fact that energy providers have to sell the right amount of their converted energy at the European energy markets, the knowledge of the wind and hence electrical power of the next day is of key importance. Selling more energy as has been offered is penalized as well as offering less energy as contractually promised. In addition to that the price per offered kWh decreases in case of a surplus of energy. Achieving a forecast there are various methods in computer science: fuzzy logic, linear prediction or neural networks. This paper presents current results of wind speed forecasts using recurrent neural networks (RNN) and the gradient descent method plus a backpropagation learning algorithm. Data used has been extracted from NASA's Modern Era-Retrospective analysis for Research and Applications (MERRA) which is calculated by a GEOS-5 Earth System Modeling and Data Assimilation system. The presented results show that wind speed data can be forecasted using historical data for training the RNN. Nevertheless, the current set up system lacks robustness and can be improved further with regards to accuracy.</jats:p>}},
  author       = {{Balluff, Stefan and Bendfeld, Jörg and Krauter, Stefan}},
  booktitle    = {{Deep Learning and Neural Networks}},
  publisher    = {{IGI Global}},
  title        = {{{Meteorological Data Forecast using RNN}}},
  doi          = {{10.4018/978-1-7998-0414-7.ch050}},
  year         = {{2019}},
}

@article{48515,
  abstract     = {{This article analyzes the contagion process of entrepreneurial passion and its effects on employee outcomes. We develop a mediation model showing entrepreneurs’ entrepreneurial passion affects an employee passion response, which in turn affects employee outcomes. We draw on a dual-process perspective to analyze how entrepreneurs’ emotional and identity displays interact to create employees’ perceptions of entrepreneurs’ passion, and question whether the contagion effect uniformly works for all employees. Our empirical studies, one field study and one experiment, provide empirical support for a contagion effect of entrepreneurial passion, and show the particularities of the effects of entrepreneurs’ passion on employee outcomes.}},
  author       = {{Hubner-Benz, Sylvia and Baum, Matthias and Frese, Michael}},
  issn         = {{1042-2587}},
  journal      = {{Entrepreneurship Theory and Practice}},
  keywords     = {{Economics and Econometrics, Business and International Management}},
  number       = {{6}},
  pages        = {{1112--1140}},
  publisher    = {{SAGE Publications}},
  title        = {{{Contagion of Entrepreneurial Passion: Effects on Employee Outcomes}}},
  doi          = {{10.1177/1042258719883995}},
  volume       = {{44}},
  year         = {{2019}},
}

@techreport{48549,
  author       = {{Mordhorst, Lisa and Nickel, Sigrun}},
  publisher    = {{CHE}},
  title        = {{{Grenzenloses Wachstum? Entwicklung des dualen Studiums in den Bundesländern}}},
  volume       = {{212}},
  year         = {{2019}},
}

@inbook{48546,
  author       = {{Ziegele, Frank and Mordhorst, Lisa}},
  booktitle    = {{The Three Cs of Higher Education: Competition, Collaboration and Complementarity}},
  editor       = {{Pritchard, Rosalind M. O. and O'Hara, Mark and Milsom, Clare and Williams, James and Matei, Liviu}},
  pages        = {{11--26}},
  publisher    = {{Central European University Press}},
  title        = {{{Competition, Collaboration and Complementarity: Higher Education Policies in Europe}}},
  year         = {{2019}},
}

@inproceedings{45391,
  author       = {{Delucchi, R. and Neugebauer, P. and Dröse, Jennifer and Prediger, Susanne and Mertins, B.}},
  booktitle    = {{Beiträge zum Mathematikunterricht 2019 }},
  editor       = {{Frank, A. and Krauss, S. and Binder, K.}},
  pages        = {{1239--1242}},
  publisher    = {{WTM}},
  title        = {{{Eye-Tracking-Studie zum Erfassen von Referenzstrukturen in Textaufgaben der Klasse 5}}},
  year         = {{2019}},
}

@article{28992,
  abstract     = {{<jats:p> Abstract. Academic writing is a complex and demanding activity that plays an important role in self-regulated learning settings within higher education. Self-efficacy and self-regulation are crucial factors for success and failure in academic writing. Because of the lack of adequate instruments, assessment of these factors is still limited. This paper introduces a scale for the assessment of self-efficacy for self-regulation of academic writing (SSAW). We deductively developed the SSAW scale and then conducted three studies in order to test and validate the scale. The first study ( N = 121) resulted in a brief scale with good psychometric properties. The second study ( N = 660) showed the scale’s factorial validity. The third study ( N = 188) provided evidence for the convergent validity of the SSAW scale. In sum, these studies yield a reliable, valid, and economic scale. The results are discussed with regard to the usefulness of the SSAW scale for research and practice in higher education. </jats:p>}},
  author       = {{Golombek, Christiane and Klingsieck, Katrin B. and Scharlau, Ingrid}},
  issn         = {{1015-5759}},
  journal      = {{European Journal of Psychological Assessment}},
  number       = {{5}},
  pages        = {{751 -- 761}},
  title        = {{{Assessing Self-Efficacy for Self-Regulation of Academic Writing: Development and validation of a scale}}},
  doi          = {{10.1027/1015-5759/a000452}},
  volume       = {{35}},
  year         = {{2019}},
}