@article{49014, author = {{Moritz, Tilman}}, journal = {{Ancient Warfare Magazine}}, number = {{4}}, pages = {{10 -- 13}}, title = {{{Puzzling History. The Fragments of Fabius Pictor}}}, volume = {{9}}, year = {{2015}}, } @article{4959, author = {{Iseke, Anja and Kocks, Birgit and Schneider, Martin and Schulze-Bentrop, Conrad}}, journal = {{R\&D Management}}, number = {{1}}, pages = {{23----40}}, title = {{{Cross-cutting organizational and demographic divides and the performance of research and development teams: two wrongs can make a right}}}, year = {{2015}}, } @article{49219, author = {{Gretz, Daniela}}, journal = {{ZfdPh}}, pages = {{191–215}}, title = {{{Ein literarischer ›Versuch‹ im Experimentierfeld Zeitschrift. Medieneffekte der Deutschen Rundschau auf Gottfried Kellers Sinngedicht}}}, volume = {{134}}, year = {{2015}}, } @article{4332, abstract = {{LiTaO3 and LiNbO3 crystals are investigated here in a combined experimental and theoretical study that uses Raman spectroscopy in a complete set of scattering geometries and corresponding density-functional theory calculations to provide microscopic information on their vibrational properties. The Raman scattering efficiency is computed from first principles in order to univocally assign the measured Raman peaks to the calculated eigenvectors. Measured and calculated Raman spectra are shown to be in qualitative agreement and confirm the mode assignment by Margueron et al. [J. Appl. Phys. 111, 104105 (2012)], thus finally settling a long debate. While the two crystals show rather similar vibrational properties overall, the E-TO9 mode is markedly different in the two oxides. The deviations are explained by a different anion-cation bond type in LiTaO3 and LiNbO3 crystals.}}, author = {{Sanna, Simone and Neufeld, Sergej and Rüsing, Michael and Berth, Gerhard and Zrenner, Artur and Schmidt, Wolf Gero}}, issn = {{1098-0121}}, journal = {{Physical Review B}}, number = {{22}}, publisher = {{American Physical Society (APS)}}, title = {{{Raman scattering efficiency in LiTaO3 and LiNbO3 crystals}}}, doi = {{10.1103/physrevb.91.224302}}, volume = {{91}}, year = {{2015}}, } @inbook{48085, author = {{Gerholz, Karl-Heinz and Losch, Simone}}, booktitle = {{Corporate Social Responsibility: Locating the Missing Link}}, editor = {{O’Riordan, Linda and Heinemann, Stefan and Zmuda, Piotr}}, isbn = {{ 9783658067946}}, pages = {{603--626}}, publisher = {{Springer Fachmedien Wiesbaden}}, title = {{{Can service learning foster a social responsibility among students? – A didactical analysis and empirical case-study in business education at a German university}}}, year = {{2015}}, } @inproceedings{46373, abstract = {{The need for automatic methods of topic discovery in the Internet grows exponentially with the amount of available textual information. Nowadays it becomes impossible to manually read even a small part of the information in order to reveal the underlying topics. Social media provide us with a great pool of user generated content, where topic discovery may be extremely useful for businesses, politicians, researchers, and other stakeholders. However, conventional topic discovery methods, which are widely used in large text corpora, face several challenges when they are applied in social media and particularly in Twitter – the most popular microblogging platform. To the best of our knowledge no comprehensive overview of these challenges and of the methods dedicated to address these challenges does exist in IS literature until now. Therefore, this paper provides an overview of these challenges, matching methods and their expected usefulness for social media analytics.}}, author = {{Chinnov, Andrey and Kerschke, Pascal and Meske, Christian and Stieglitz, Stefan and Trautmann, Heike}}, booktitle = {{Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15)}}, isbn = {{978-0-9966831-0-4}}, pages = {{1–10}}, title = {{{An Overview of Topic Discovery in Twitter Communication through Social Media Analytics}}}, year = {{2015}}, } @inproceedings{46375, abstract = {{In single-objective optimization different optimization strategies exist depending on the structure and characteristics of the underlying problem. In particular, the presence of so-called funnels in multimodal problems offers the possibility of applying techniques exploiting the global structure of the function. The recently proposed Exploratory Landscape Analysis approach automatically identifies problem characteristics based on a moderately small initial sample of the objective function and proved to be effective for algorithm selection problems in continuous black-box optimization. In this paper, specific features for detecting funnel structures are introduced and combined with the existing ones in order to classify optimization problems regarding the funnel property. The effectiveness of the approach is shown by experiments on specifically generated test instances and validation experiments on standard benchmark problems.}}, author = {{Kerschke, Pascal and Preuss, Mike and Wessing, Simon and Trautmann, Heike}}, booktitle = {{Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15)}}, editor = {{Silva, Sara}}, isbn = {{978-1-4503-3472-3}}, pages = {{265–272}}, publisher = {{ACM}}, title = {{{Detecting Funnel Structures by Means of Exploratory Landscape Analysis}}}, doi = {{10.1145/2739480.2754642}}, year = {{2015}}, } @inproceedings{46376, abstract = {{We investigate per-instance algorithm selection techniques for solving the Travelling Salesman Problem (TSP), based on the two state-of-the-art inexact TSP solvers, LKH and EAX. Our comprehensive experiments demonstrate that the solvers exhibit complementary performance across a diverse set of instances, and the potential for improving the state of the art by selecting between them is significant. Using TSP features from the literature as well as a set of novel features, we show that we can capitalise on this potential by building an efficient selector that achieves significant performance improvements in practice. Our selectors represent a significant improvement in the state-of-the-art in inexact TSP solving, and hence in the ability to find optimal solutions (without proof of optimality) for challenging TSP instances in practice.}}, author = {{Kotthoff, Lars and Kerschke, Pascal and Hoos, Holger and Trautmann, Heike}}, booktitle = {{Learning and Intelligent Optimization}}, editor = {{Dhaenens, Clarisse and Jourdan, Laetitia and Marmion, Marie-Eléonore}}, isbn = {{978-3-319-19084-6}}, pages = {{202–217}}, publisher = {{Springer International Publishing}}, title = {{{Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection}}}, year = {{2015}}, } @article{46379, abstract = {{In multiobjective optimization, set-based performance indicators are commonly used to assess the quality of a Pareto front approximation. Based on the scalarization obtained by these indicators, a performance comparison of multiobjective optimization algorithms becomes possible. The R2 and the Hypervolume (HV) indicator represent two recommended approaches which have shown a correlated behavior in recent empirical studies. Whereas the HV indicator has been comprehensively analyzed in the last years, almost no studies on the R2 indicator exist. In this extended version of our previous conference paper, we thus perform a comprehensive investigation of the properties of the R2 indicator in a theoretical and empirical way. The influence of the number and distribution of the weight vectors on the optimal distribution of µ solutions is analyzed. Based on a comparative analysis, specific characteristics and differences of the R2 and HV indicator are presented. Furthermore, the R2 indicator is integrated into an indicator-based steady-state evolutionary multiobjective optimization algorithm (EMOA). It is shown that the so-called R2-EMOA can accurately approximate the optimal distribution of µ solutions regarding R2.}}, author = {{Brockhoff, D and Wagner, T and Trautmann, Heike}}, journal = {{Evolutionary Computation Journal}}, number = {{3}}, pages = {{369–395}}, title = {{{R2 Indicator Based Multiobjective Search}}}, doi = {{10.1162/EVCO_a_00135}}, volume = {{23}}, year = {{2015}}, } @inproceedings{46374, abstract = {{We consider a routing problem for a single vehicle serving customer Locations in the course of time. A subset of these customers must necessarily be served, while the complement of this subset contains dynamic customers which request for service over time, and which do not necessarily need to be served. The decision maker’s conflicting goals are serving as many customers as possible as well as minimizing total travel distance. We solve this bi-objective Problem with an evolutionary multi-objective algorithm in order to provide an a-posteriori evaluation tool for enabling decision makers to assess the single objective solution strategies that they actually use in real-time. We present the modifications to be applied to the evolutionary multi-objective algorithm NSGA2 in order to solve the routing problem, we describe a number of real-time single-objective solution strategies, and we finally use the gained efficient trade-off solutions of NSGA2 to exemplarily evaluate the real-time strategies. Our results show that the evolutionary multi-objective approach is well-suited to generate benchmarks for assessing dynamic heuristic strategies. Our findings point into future directions for designing dynamic multi-objective approaches for the vehicle routing problem with time windows. }}, author = {{Grimme, C and Meisel, S and Trautmann, Heike and Rudolph, G and Wölck, M}}, booktitle = {{Proceedings of the European Conference On Information Systems}}, title = {{{Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle}}}, year = {{2015}}, } @article{46380, abstract = {{We present methods to answer two basic questions that arise when benchmarking optimization algorithms. The first one is: which algorithm is the "best" one? and the second one is: which algorithm should I use for my real-world problem? Both are connected and neither is easy to answer. We present a theoretical framework for designing and analyzing the raw data of such benchmark experiments. This represents a first step in answering the aforementioned questions. The 2009 and 2010 BBOB benchmark results are analyzed by means of this framework and we derive insight regarding the answers to the two questions. Furthermore, we discuss how to properly aggregate rankings from algorithm evaluations on individual problems into a consensus, its theoretical background and which common pitfalls should be avoided. Finally, we address the grouping of test problems into sets with similar optimizer rankings and investigate whether these are reflected by already proposed test problem characteristics, finding that this is not always the case.}}, author = {{Mersmann, O and Preuss, M and Trautmann, Heike and Bischl, B and Weihs, C}}, journal = {{Evolutionary Computation Journal}}, number = {{1}}, pages = {{161–185}}, title = {{{Analyzing the BBOB Results by Means of Benchmarking Concepts}}}, volume = {{23}}, year = {{2015}}, } @article{47909, author = {{Reimsbach, Daniel and Hauschild, Bastian}}, issn = {{1753-1969}}, journal = {{International Journal of Behavioural Accounting and Finance}}, keywords = {{Geology, Ocean Engineering, Water Science and Technology}}, number = {{1}}, publisher = {{Inderscience Publishers}}, title = {{{Testing vs. building accounting theory with experimental research: insights from management research}}}, doi = {{10.1504/ijbaf.2015.071050}}, volume = {{5}}, year = {{2015}}, } @article{48708, author = {{Agethen, Manfred and Krause, Daniel}}, issn = {{0167-9457}}, journal = {{Human Movement Science}}, keywords = {{Experimental and Cognitive Psychology, Orthopedics and Sports Medicine, General Medicine, Biophysics}}, pages = {{71--83}}, publisher = {{Elsevier BV}}, title = {{{Effects of bandwidth feedback on the automatization of an arm movement sequence}}}, doi = {{10.1016/j.humov.2015.11.005}}, volume = {{45}}, year = {{2015}}, } @book{48828, editor = {{Luft, Sebastian}}, pages = {{538}}, publisher = {{Routledge}}, title = {{{The Neo-Kantian Reader }}}, year = {{2015}}, } @inbook{48812, author = {{Luft, Sebastian}}, booktitle = {{From Hegel to Windelband. Historiography of Philosophy in the 19th Century}}, editor = {{Hartung, G and Pluder, V}}, pages = {{181--205}}, publisher = {{DeGruyter}}, title = {{{Philosophical Historiography in Marburg Neo-Kantianism: The Example of Cassirer’s Erkenntnisproblem (The Problem of Knowledge)}}}, year = {{2015}}, } @misc{47898, author = {{Beutner, Marc and Schneider, Jennifer Nicole }}, booktitle = {{Kölner Zeitschrift für Wirtschaft und Pädagogik }}, number = {{58}}, pages = {{3--32}}, title = {{{Open Educational Resources in der aktuellen Bildungslandschaft: Motivation zur Teilung und Nutzung.}}}, volume = {{30}}, year = {{2015}}, } @book{48821, editor = {{Luft, Sebastian and Friedman, Tyler}}, pages = {{481}}, publisher = {{DeGruyter}}, title = {{{The Philosophy of Ernst Cassirer: A Novel Assessment}}}, volume = {{2}}, year = {{2015}}, } @inbook{48646, author = {{Hartung, Olaf}}, booktitle = {{Lehrkompetenzen in der wissenschaftlichen Weiterbildung, Konzepte, Forschungsansätze und Anwendungen}}, editor = {{Hartung, Olaf and Rumpf, Marguerite}}, isbn = {{978-3-658-08868-2}}, pages = {{155--174}}, publisher = {{Springer VS}}, title = {{{Die Modulwerkstatt – Lehrkompetenzentwicklung in der Weiterbildung für die Weiterbildung}}}, year = {{2015}}, } @inbook{48680, author = {{Hartung, Olaf}}, booktitle = {{Geschichtskultur. Die Anwesenheit von Vergangenheit in der Gegenwart}}, editor = {{Oswalt, Vadim and Pandel, Hans-Jürgen}}, isbn = {{978-3-89974-408-8}}, pages = {{149--168}}, publisher = {{Wochenschau Verlag}}, title = {{{Aktuelle Trends in der Museumsdidaktik und ihre Bedeutung für das historische Lernen}}}, year = {{2015}}, } @inbook{48647, author = {{Hartung, Olaf}}, booktitle = {{Geschichts-Methodik: Handbuch für die Sekundarstufe I und II}}, editor = {{Handro, Saskia and Günther-Arndt, Hilke}}, isbn = {{Geschichts-Methodik: Handbuch für die Sekundarstufe I und II}}, pages = {{221--232}}, publisher = {{Cornelsen}}, title = {{{Schreiben}}}, year = {{2015}}, }