@article{28348,
  abstract     = {{This article explores the interplay between learners’ linguistic and personal objectives as well as evaluations of their achievements in study-abroad contexts, an area that has thus far remained widely unexplored given the prevalence of product-oriented, outcomes-based research. The study draws on the case of one Canadian student of German who studied abroad at a German university for one year. To adopt an emic perspective, the data gained from a learning history questionnaire, semi-structured interviews, and e-journals were analyzed and interpreted within the framework of narrative analysis. The results show not only that learners’ sojourn objectives may be complex, dynamic, and contradictory in nature but also that they need to be examined beyond their face value, as they are entangled with learners’ negotiations of desirable subject positions and attempts to integrate their sojourn experiences, successes, and frustrations in a coherent and positive life narrative.}},
  author       = {{Müller, Mareike}},
  issn         = {{0008-4506}},
  journal      = {{The Canadian Modern Language Review}},
  keywords     = {{individual differences, learner beliefs, narrative analysis, sojourn objectives and evaluations, study abroad}},
  number       = {{1}},
  pages        = {{24--47}},
  title        = {{{“As a person, I feel I’ve changed pretty immensely”: Sojourners’ aspirations and self-perceived achievements}}},
  doi          = {{10.3138/cmlr.3319}},
  volume       = {{73}},
  year         = {{2017}},
}

@article{28354,
  abstract     = {{This paper discusses the findings of an empirical study that explores the relationship between study-abroad experiences, learner identity, and pronunciation. We argue that the role of pronunciation as a personal domain of
meaning-making warrants more attention than it has hitherto received. To this end, we investigate the narratives of Canadian learners, studying abroad in Germany, in relation to discourses of language learning, culture, and identity,
using a Critical Discourse Analysis approach. Our data, which we gained from semi-structured interviews and e-journals, shows that learners’ perceptions of pronunciation are closely linked to their views of the native-speaker ideal, impacting their self-constructions and interpretations of learning experience. In conclusion, we argue for a more differentiated understanding of pronunciation and its implications for language teaching and study abroad.}},
  author       = {{Müller, Mareike and Schmenk, Barbara}},
  issn         = {{0802-6106}},
  journal      = {{International Journal of Applied Linguistics}},
  keywords     = {{learner identity, study abroad, pronunciation, native-speaker ideal, critical discourse analysis}},
  number       = {{1}},
  pages        = {{132--151}},
  title        = {{{Narrating the sound of self: The role of pronunciation in learners’ self-constructions in study-abroad contexts}}},
  doi          = {{10.1111/ijal.12109}},
  volume       = {{27}},
  year         = {{2017}},
}

@inproceedings{2851,
  author       = {{Markarian, Christine}},
  booktitle    = {{International Conference on Operations Research (OR)}},
  location     = {{Berlin}},
  title        = {{{Leasing with Uncertainty}}},
  doi          = {{10.1007/978-3-319-89920-6_57}},
  year         = {{2017}},
}

@article{28671,
  author       = {{Eickelmann, Birgit and Gerick, Julia and Koop, Christian}},
  issn         = {{1360-2357}},
  journal      = {{Education and Information Technologies}},
  number       = {{4}},
  pages        = {{1527--1551}},
  title        = {{{ICT use in mathematics lessons and the mathematics achievement of secondary school students by international comparison: Which role do school level factors play?}}},
  doi          = {{10.1007/s10639-016-9498-5}},
  volume       = {{22}},
  year         = {{2017}},
}

@inbook{24117,
  author       = {{Taube, Alexander and Reschetnik, Wadim and Pauli, Lorenz and Hoyer, Kay-Peter and Kullmer, Gunter and Schaper, Mirko}},
  booktitle    = {{Additive Fertigung von Bauteilen und Strukturen}},
  isbn         = {{978-3-658-17779-9}},
  publisher    = {{Springer Vieweg}},
  title        = {{{Numerische und mechanische Untersuchung additiv gefertigter TiAl6V4 Gitterstrukturen}}},
  doi          = {{10.1007/978-3-658-17780-5_13}},
  year         = {{2017}},
}

@inproceedings{24217,
  abstract     = {{Parallel Sequence Spread Spectrum (PSSS) is a physical layer (PHY) baseband technology that is well suited for mixed-signal transceiver implementation for high data rate wireless communication systems. Mixed signal baseband realization allows for easier implementation of the channel equalization function and eliminates the need for high speed data converters. System design and architecture of a mixed signal baseband processor for 100 Gbps wireless communication is described that reduces the implementation complexity and results in a consequent reduction in power dissipation and chip area. An ultra-broadband analog correlator consisting of a four-quadrant multiplier and a fast resettable integrator using only NPN transistors was designed, fabricated, and measured. The correlator circuit is the core component of the receiver baseband. To the best knowledge of the authors, it is the fastest correlator circuit published so far.}},
  author       = {{Javed, Abdul Rehman and Scheytt, Christoph and Karthik, KrishneGowda and Kramer, Roland}},
  booktitle    = {{IEEE EUROCON 2017-17th International Conference on Smart Technologies}},
  isbn         = {{978-1-5090-3844-2}},
  pages        = {{228--233}},
  title        = {{{System design of a mixed signal PSSS transdeiver using a linear ultra-broadband analog correlator for the receiver baseband designed in 130nm SiGe BiCMOS technology}}},
  doi          = {{10.1109/EUROCON.2017.8011110}},
  year         = {{2017}},
}

@inproceedings{24220,
  author       = {{Adelt, Peer and Koppelmann, Bastian and Müller, Wolfgang and Mueller-Gritschneder, Daniel and Kleinjohann, Bernd and Scheytt, Christoph}},
  booktitle    = {{Tagungsband des Wissenschaftsforums Intelligente Technische Systeme}},
  isbn         = {{978-3-942647-88-5}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts}},
  title        = {{{Automatisierte Fehlerinjektion zur Entwicklung sicherer Mikrocontrolleranwendungen auf der Basis virtueller Plattformen}}},
  doi          = {{10.17619/UNIPB/1-93}},
  year         = {{2017}},
}

@book{24221,
  abstract     = {{Das Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) legt am 11. und 12. Mai 2017 in Paderborn den Schwerpunkt auf die Grundlagen und die Entwicklung intelligenter technischer Systeme im Kontext Industrie 4.0. Etwa 40 begutachtete hochkarätige Beiträge geben einen Überblick über Forschungsfelder, Technologien und Anwendungen. Die Veranstaltung bietet den Teilnehmerinnen und Teilnehmern eine ausgezeichnete Bühne für den Erfahrungsaustausch auf dem Weg in die Digitalisierung von Produkten und Produktionssystemen. »Das Besondere ist der Dialog von Hochschulforschung und industrieller Entwicklung, also das Aufeinandertreffen von »Science-Push« und »Application-Pull«. Die Beiträge spiegeln die hervorragende Vernetzung in der Region OWL und darüber hinaus wider«, sagt Veranstalter Prof. Jürgen Gausemeier (Heinz Nixdorf Institut, Universität Paderborn).}},
  author       = {{Gausemeier, Jürgen and Bodden, Eric and Dressler, Falko and Dumitrescu, Roman and Meyer auf der Heide, Friedhelm and Scheytt, Christoph and Trächtler, Ansgar}},
  isbn         = {{978-3-942647-88-5}},
  publisher    = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}},
  title        = {{{Wissenschaftsforum Intelligente Technische Systeme (WInTeSys)}}},
  doi          = {{10.17619/UNIPB/1-93}},
  volume       = {{369}},
  year         = {{2017}},
}

@inproceedings{26554,
  author       = {{Ahmed Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille and Lehmann, Jens}},
  booktitle    = {{The Semantic Web - 14th International Conference, {ESWC} 2017, Portoro{\v{z}}, Slovenia, May 28 - June 1, 2017, Proceedings, Part {I}}},
  editor       = {{Blomqvist, Eva and Maynard, Diana and Gangemi, Aldo and Hoekstra, Rinke and Hitzler, Pascal and Hartig, Olaf}},
  pages        = {{103--119}},
  title        = {{{Wombat - A Generalization Approach for Automatic Link Discovery}}},
  doi          = {{10.1007/978-3-319-58068-5\_7}},
  volume       = {{10249}},
  year         = {{2017}},
}

@inproceedings{26556,
  author       = {{Jha, Kunal and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web - 14th International Conference, {ESWC} 2017, Portoro{\v{z}}, Slovenia, May 28 - June 1, 2017, Proceedings, Part {I}}},
  editor       = {{Blomqvist, Eva and Maynard, Diana and Gangemi, Aldo and Hoekstra, Rinke and Hitzler, Pascal and Hartig, Olaf}},
  pages        = {{305--320}},
  title        = {{{All that Glitters Is Not Gold - Rule-Based Curation of Reference Datasets for Named Entity Recognition and Entity Linking}}},
  doi          = {{10.1007/978-3-319-58068-5\_19}},
  volume       = {{10249}},
  year         = {{2017}},
}

@inproceedings{26557,
  author       = {{Auer, Sören and Scerri, Simon and Versteden, Aad and Pauwels, Erika and Charalambidis, Angelos and Konstantopoulos, Stasinos and Lehmann, Jens and Jabeen, Hajira and Ermilov, Ivan and Sejdiu, Gezim and Ikonomopoulos, Andreas and Andronopoulos, Spyros and Vlachogiannis, Mandy and Pappas, Charalambos and Davettas, Athanasios and A. Klampanos, Iraklis and Grigoropoulos, Efstathios and Karkaletsis, Vangelis and de Boer, Victor and Siebes, Ronald and Nadjib Mami, Mohamed and Albani, Sergio and Lazzarini, Michele and Nunes, Paulo and Angiuli, Emanuele and Pittaras, Nikiforos and Giannakopoulos, George and Argyriou, Giorgos and Stamoulis, George and Papadakis, George and Koubarakis, Manolis and Karampiperis, Pythagoras and Ngonga Ngomo, Axel-Cyrille and Vidal, Maria-Esther}},
  booktitle    = {{Web Engineering - 17th International Conference, {ICWE} 2017, Rome, Italy, June 5-8, 2017, Proceedings}},
  editor       = {{Cabot, Jordi and De Virgilio, Roberto and Torlone, Riccardo}},
  pages        = {{41--59}},
  publisher    = {{Springer}},
  title        = {{{The BigDataEurope Platform - Supporting the Variety Dimension of Big Data}}},
  doi          = {{10.1007/978-3-319-60131-1\_3}},
  volume       = {{10360}},
  year         = {{2017}},
}

@article{3523,
  abstract     = {{We numerically simulate the circular polarization ratio of the radar signal backscattered from a large-grain cometary coma and compare the simulation results with the radar measurements for seven comets. We apply the discrete dipole approximation method and a model of random irregular particles. Our results confirm water ice composition of the cm-sized chunks detected by the NASA Deep Impact space probe in the vicinity of the nucleus of Comet 103P/Hartley 2. The index of the power-law size distribution in this case can be constrained to the range n ≈ 3.3–4.3. For the other considered comets the circular polarization ratio can be reproduced with variations of the power index between 2 and 5.}},
  author       = {{Dogra, Shraddha and Grynko, Yevgen and Zubko, Evgenij and Förstner, Jens}},
  issn         = {{0004-6361}},
  journal      = {{Astronomy & Astrophysics}},
  keywords     = {{tet_topic_scattering}},
  pages        = {{A20}},
  publisher    = {{EDP Sciences}},
  title        = {{{Radar backscattering from a large-grain cometary coma: numerical simulation}}},
  doi          = {{10.1051/0004-6361/201730801}},
  volume       = {{608}},
  year         = {{2017}},
}

@article{27771,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>
Background Children with migration background are at particular risk for overweight. We assessed the effects of a primary school-based initiative targeted at enhancing physical activity and dietary education among children with a high proportion of migration background.</jats:p><jats:p>
Methods Four 3rd and 4th grade classes (n=70 children, 77% with migration background) participated in a 10-months intervention comprising 2 additional exercise lessons weekly and 10 nutrition lessons per school year. 6 school classes (n=125 children, 65% with migration background) served as control. Before and after the intervention, an assessment of physical fitness and motor skills and questionnaires on dietary behavior and knowledge were conducted. In a subgroup (n=37), after 6 months of the intervention, daily physical activity was assessed by accelerometer-based monitoring. Differences in changes between the groups were assessed using linear regression analyses.</jats:p><jats:p>
Results Changes between the 2 time points for fitness and motor skill tests (differences in standard deviation scores) were larger in the intervention than in the control group for the total mean test value (β=0.38, p&lt;0.001), driven by higher improvements in 5 of the 8 test items, i.e., obstacle race (speed) (β=0.22, p=0.049), standing long jump (strength) (β=0.35, p&lt;0.001), sit-ups (strength) (β=0.33, p=0.002), stand and reach (mobility) (β=0.22, p=0.042), and 6 min run (endurance) (β=0.40, p&lt;0.001), independently of confounders. Changes in dietary knowledge and consumption frequencies did not differ between groups.</jats:p><jats:p>
Conclusions Promoting guided physical activity in a primary school setting with a high proportion of children with migration background positively affected parameters of fitness and motor skills.</jats:p>}},
  author       = {{Weber, Katharina and Spörkel, Olaf and Mertens, Melina and Freese, Alem and Strassburger, Klaus and Kemper, Boris and Bachmann, Clemens and Diehlmann, Knut and Stemper, Theodor and Buyken, Anette and Ketelhut, Kerstin and Müssig, Karsten}},
  issn         = {{0947-7349}},
  journal      = {{Experimental and Clinical Endocrinology & Diabetes}},
  pages        = {{554--562}},
  title        = {{{Positive Effects of Promoting Physical Activity and Balanced Diets in a Primary School Setting with a High Proportion of Migrant School Children}}},
  doi          = {{10.1055/s-0043-101918}},
  year         = {{2017}},
}

@inproceedings{1156,
  abstract     = {{In this paper, we present an IoT architecture which handles stream sensor data of air pollution. Particle pollution is known as a serious threat to human health. Along with developments in the use of wireless sensors and the IoT, we propose an architecture that flexibly measures and processes stream data collected in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread network of wireless sensors that can follow changes in human behavior. Apart from stating reasons for the need of such a development and its requirements, we provide a conceptual design as well as a technological design of such an architecture. The technological design consists of Kaa and Apache Storm which can collect air pollution information in real-time and solve various problems to process data such as missing data and synchronization. This enables us to add a simulation in which we provide issues that might come up when having our architecture in use. Together with these issues, we state r easons for choosing specific modules among candidates. Our architecture combines wireless sensors with the Kaa IoT framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management System among others. We even provide open-government data sets that are freely available.}},
  author       = {{Kersting, Joschka and Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}},
  booktitle    = {{Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security}},
  editor       = {{Ramachandran, Muthu and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert and Chang, Victor}},
  isbn         = {{978-989-758-245-5}},
  keywords     = {{Wireless Sensor Network, Internet of Things, Stream Data, Air Pollution, DSMS, Real-time Data Processing}},
  location     = {{Porto, Portugal}},
  pages        = {{117--124}},
  publisher    = {{SCITEPRESS}},
  title        = {{{Internet of Things Architecture for Handling Stream Air Pollution Data}}},
  doi          = {{10.5220/0006354801170124}},
  year         = {{2017}},
}

@inproceedings{1158,
  abstract     = {{In this paper, we present the annotation challenges we have encountered when working on a historical language that was undergoing elaboration processes. We especially focus on syntactic ambiguity and gradience in Middle Low German, which causes uncertainty to some extent. Since current annotation tools consider construction contexts and the dynamics of the grammaticalization only partially, we plan to extend CorA – a web-based annotation tool for historical and other non-standard language data – to capture elaboration phenomena and annotator unsureness. Moreover, we seek to interactively learn morphological as well as syntactic annotations.}},
  author       = {{Seemann, Nina and Merten, Marie-Luis and Geierhos, Michaela and Tophinke, Doris and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature}},
  location     = {{Vancouver, BC, Canada}},
  pages        = {{40--45}},
  publisher    = {{Association for Computational Linguistics (ACL)}},
  title        = {{{Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German}}},
  doi          = {{10.18653/v1/W17-2206}},
  year         = {{2017}},
}

@inbook{1159,
  abstract     = {{In this paper, we present a search solution that makes local news information easily accessible. In the era of fake news, we provide an approach for accessing news information through opinion mining. This enables users to view news on the same topics from different web sources. By applying sentiment analysis on social media posts, users can better understand how issues are captured and see people’s reactions. Therefore, we provide a local search service that first localizes news articles, then visualizes their occurrence according to the frequency of mentioned topics on a heatmap and even shows the sentiment score for each text. }},
  author       = {{Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}},
  editor       = {{Damaševičius, Robertas and Mikašytė, Vilma}},
  isbn         = {{978-3-319-67641-8}},
  location     = {{Druskininkai, Lithuania}},
  pages        = {{528--538}},
  publisher    = {{Springer}},
  title        = {{{Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach}}},
  doi          = {{10.1007/978-3-319-67642-5}},
  volume       = {{756}},
  year         = {{2017}},
}

@inbook{1161,
  abstract     = {{Consulting a physician was long regarded as an intimate and private matter. The physician-patient relationship was perceived as sensitive and trustful. Nowadays, there is a change, as medical procedures and physicians consultations are reviewed like other services on the Internet. To allay user’s privacy doubts, physician review websites assure anonymity and the protection of private data. However, there are hundreds of reviews that reveal private information and hence enable physicians or the public to identify patients. Thus, we draw attention to the cases when de-anonymization is possible. We therefore introduce an approach that highlights private information in physician reviews for users to avoid an accidental disclosure. For this reason, we combine established natural-language-processing techniques such as named entity recognition as well as handcrafted patterns to achieve a high detection accuracy. That way, we can help websites to increase privacy protection by recognizing and uncovering apparently uncritical information in user-generated texts.}},
  author       = {{Bäumer, Frederik Simon and Grote, Nicolai and Kersting, Joschka and Geierhos, Michaela}},
  booktitle    = {{Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}},
  editor       = {{Damaševičius, Robertas and Mikašytė, Víctor}},
  isbn         = {{978-3-319-67641-8}},
  keywords     = {{Physician Reviews, User Privacy, Nocuous Data Exposure}},
  location     = {{Druskininkai, Lithuania}},
  pages        = {{77--89}},
  publisher    = {{Springer}},
  title        = {{{Privacy Matters: Detecting Nocuous Patient Data Exposure in Online Physician Reviews}}},
  doi          = {{10.1007/978-3-319-67642-5_7}},
  volume       = {{756}},
  year         = {{2017}},
}

@inproceedings{21080,
  author       = {{Menke, Peter}},
  booktitle    = {{Proceedings of the Corpus Linguistics Conference 2017}},
  location     = {{Birmingham, UK}},
  title        = {{{An annotated video corpus of interactions dealing with the collaborative construction of fiction in games}}},
  year         = {{2017}},
}

@book{19056,
  editor       = {{Eke, Norbert Otto}},
  pages        = {{287}},
  publisher    = {{Metzler}},
  title        = {{{Herta Müller-Handbuch}}},
  year         = {{2017}},
}

@book{19057,
  editor       = {{Eke, Norbert Otto}},
  pages        = {{44}},
  title        = {{{Margarete-Schrader-Preis für Literatur der Universität Paderborn. Dokumentation der Verleihung an Jörg Albrecht am 9. Februar 2017}}},
  year         = {{2017}},
}