@article{ElversSteffens2017, author = {Elvers, Paul and Steffens, Jochen}, title = {The Sound of Success: Investigating Cognitive and Behavioral Effects of Motivational Music in Sports}, series = {Frontiers in psychology}, volume = {8}, journal = {Frontiers in psychology}, publisher = {Frontiers}, doi = {10.3389/fpsyg.2017.02026}, year = {2017}, abstract = {Listening to music before, during, or after sports is a common phenomenon, yet its functions and effects on performance, cognition, and behavior remain to be investigated. Listening to music before, during, or after sports is a common phenomenon, yet its functions and effects on performance, cognition, and behavior remain to be investigated. In this study we present a novel approach to the role of music in sports and exercise that focuses on the notion of musical self-enhancement (Elvers, 2016). We derived the following hypotheses from this framework: listening to motivational music will (i) enhance self-evaluative cognition, (ii) improve performance in a ball game, and (iii) evoke greater risk-taking behavior. To evaluate the hypotheses, we conducted a between-groups experiment (N = 150) testing the effectiveness of both an experimenter playlist and a participant-selected playlist in comparison to a no-music control condition. All participants performed a ball-throwing task developed by Decharms and Dav{\´e} (1965), consisting of two parts: First, participants threw the ball from fixed distances into a funnel basket. During this task, performance was measured. In the second part, the participants themselves chose distances from the basket, which allowed their risk-taking behavior to be assessed. The results indicate that listening to motivational music led to greater risk taking but did not improve ball-throwing performance. This effect was more pronounced in male participants and among those who listened to their own playlists. Furthermore, self-selected music enhanced state self-esteem in participants who were performing well but not in those who were performing poorly. We also discuss further implications for the notion of musical self-enhancement. // Listening to music before, during, or after sports is a common phenomenon, yet its functions and effects on performance, cognition, and behavior remain to be investigated. In this study we present a novel approach to the role of music in sports and exercise that focuses on the notion of musical self-enhancement (Elvers, 2016). We derived the following hypotheses from this framework: listening to motivational music will (i) enhance self-evaluative cognition, (ii) improve performance in a ball game, and (iii) evoke greater risk-taking behavior. To evaluate the hypotheses, we conducted a between-groups experiment (N = 150) testing the effectiveness of both an experimenter playlist and a participant-selected playlist in comparison to a no-music control condition. All participants performed a ball-throwing task developed by Decharms and Dav{\´e} (1965), consisting of two parts: First, participants threw the ball from fixed distances into a funnel basket. During this task, performance was measured. In the second part, the participants themselves chose distances from the basket, which allowed their risk-taking behavior to be assessed. The results indicate that listening to motivational music led to greater risk taking but did not improve ball-throwing performance. This effect was more pronounced in male participants and among those who listened to their own playlists. Furthermore, self-selected music enhanced state self-esteem in participants who were performing well but not in those who were performing poorly. We also discuss further implications for the notion of musical self-enhancement.}, language = {en} } @article{GrebSteffensSchlotz2019, author = {Greb, Fabian and Steffens, Jochen and Schlotz, Wolff}, title = {Modeling Music-Selection Behavior in Everyday Life: A Multilevel Statistical Learning Approach and Mediation Analysis of Experience Sampling Data}, series = {Frontiers in psychology}, volume = {10}, journal = {Frontiers in psychology}, publisher = {Frontiers}, doi = {10.3389/fpsyg.2019.00390}, year = {2019}, abstract = {Music listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. Until now, little has been written about the processes underlying the selection of music in daily life. The present study aimed to disentangle some of the complex processes among the listener, situation, and functions of music listening involved in music selection. Utilizing the experience sampling method, data were collected from 119 participants using a smartphone application. For 10 consecutive days, participants received 14 prompts using stratified-random sampling throughout the day and reported on their music-listening behavior. Statistical learning procedures on multilevel regression models and multilevel structural equation modeling were used to determine the most important predictors and analyze mediation processes between person, situation, functions of listening, and music selection. Results revealed that the features of music selected in daily life were predominantly determined by situational characteristics, whereas consistent individual differences were of minor importance. Functions of music listening were found to act as a mediator between characteristics of the situation and music-selection behavior. We further observed several significant random effects, which indicated that individuals differed in how situational variables affected their music selection behavior. Our findings suggest a need to shift the focus of music-listening research from individual differences to situational influences, including potential person-situation interactions.}, language = {en} } @article{LuizardSteffensWeinzierl2020, author = {Luizard, Paul and Steffens, Jochen and Weinzierl, Stefan}, title = {Singing in different rooms: Common or individual adaptation patterns to the acoustic conditions?}, series = {The Journal of the Acoustical Society of America}, volume = {147}, journal = {The Journal of the Acoustical Society of America}, number = {2}, publisher = {ASA}, doi = {10.1121/10.0000715}, year = {2020}, language = {en} } @article{SchittkowskiRulandLaudenschlegeretal.2018, author = {Schittkowski, Julian and Ruland, Holger and Laudenschleger, Daniel and Girod, Kai and K{\"a}hler, Kevin and Kaluza, Stefan and Muhler, Martin and Schl{\"o}gl, Robert}, title = {Methanol Synthesis from Steel Mill Exhaust Gases: Challenges for the Industrial Cu/ZnO/Al 2 O 3 Catalyst}, series = {Chemie Ingenieur Technik}, volume = {90}, journal = {Chemie Ingenieur Technik}, number = {10}, publisher = {Wiley}, issn = {1522-2640}, doi = {10.1002/cite.201800017}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-34526}, pages = {1419 -- 1429}, year = {2018}, language = {en} } @article{UnterfraunerVoigtHofer2021, author = {Unterfrauner, Elisabeth and Voigt, Christian and Hofer, Margit}, title = {The effect of maker and entrepreneurial education on self-efficacy and creativity}, series = {Entrepreneurship Education}, volume = {4}, journal = {Entrepreneurship Education}, number = {4}, publisher = {Springer Nature}, issn = {2520-8152}, doi = {10.1007/s41959-021-00060-w}, pages = {403 -- 424}, year = {2021}, language = {en} } @article{UnterfraunerVoigt2017, author = {Unterfrauner, Elisabeth and Voigt, Christian}, title = {Makers' ambitions to do socially valuable things}, series = {The Design Journal}, volume = {20}, journal = {The Design Journal}, number = {sup1}, publisher = {Taylor \& Francis}, issn = {1756-3062}, doi = {10.1080/14606925.2017.1352835}, pages = {3317 -- 3325}, year = {2017}, language = {en} } @article{SeebacherVanaVoigtetal.2021, author = {Seebacher, Lisa M. and Vana, Irina and Voigt, Christian and Tschank, Juliet}, title = {Is Science for Everyone? Exploring Intersectional Inequalities in Connecting With Science}, series = {Frontiers in Education}, volume = {6}, journal = {Frontiers in Education}, publisher = {Frontiers}, issn = {2504-284X}, doi = {10.3389/feduc.2021.673850}, year = {2021}, language = {en} } @article{MillardSorivelleDeljaninetal.2018, author = {Millard, Jeremy and Sorivelle, Marie and Deljanin, Sarah and Unterfrauner, Elisabeth and Voigt, Christian}, title = {Is the Maker Movement Contributing to Sustainability?}, series = {Sustainability}, volume = {10}, journal = {Sustainability}, number = {7}, publisher = {MDPI}, issn = {2071-1050}, doi = {10.3390/su10072212}, pages = {2212}, year = {2018}, language = {en} } @article{SchulzkeConradKaluzaetal.2017, author = {Schulzke, Tim and Conrad, Stefan and Kaluza, Stefan and van Loo, Tom}, title = {Upgrading of fast pyrolysis condensates via esterification with higher alcohols}, series = {Biomass and Bioenergy}, volume = {103}, journal = {Biomass and Bioenergy}, publisher = {Elsevier}, issn = {0961-9534}, doi = {10.1016/j.biombioe.2017.05.010}, pages = {11 -- 20}, year = {2017}, language = {en} } @article{JungePuringPiontekSmialkowskietal.2017, author = {Junge Puring, Kai and Piontek, Stefan and Smialkowski, Mathias and Burfeind, Jens and Kaluza, Stefan and Doetsch, Christian and Apfel, Ulf-Peter}, title = {Simple Methods for the Preparation of Non-noble Metal Bulk-electrodes for Electrocatalytic Applications}, series = {Journal of visualized experiments : JoVE}, journal = {Journal of visualized experiments : JoVE}, number = {124}, publisher = {JoVE}, issn = {1940-087X}, doi = {10.3791/56087}, year = {2017}, abstract = {The rock material pentlandite with the composition Fe4.5Ni4.5S8 was synthesized via high temperature synthesis from the elements. The structure and composition of the material was characterized via powder X-ray diffraction (PXRD), M{\"o}ssbauer spectroscopy (MB), scanning electron microscopy (SEM), differential scanning calorimetry (DSC) and energy dispersive X-ray spectroscopy (EDX). Two preparation methods of pentlandite bulk electrodes are presented. In the first approach a piece of synthetic pentlandite rock is directly contacted via a wire ferrule. The second approach utilizes pentlandite pellets, pressed from finely ground powder, which is immobilized in a Teflon casing. Both electrodes, whilst being prepared by an additive-free method, reveal high durability during electrocatalytic conversions in comparison to common drop-coating methods. We herein showcase the striking performance of such electrodes to accomplish the hydrogen evolution reaction (HER) and present a standardized method to evaluate the electrocatalytic performance by electrochemical and gas chromatographic methods. Furthermore, we report stability tests via potentiostatic methods at an overpotential of 0.6 V to explore the material limitations of the electrodes during electrolysis under industrial relevant conditions.}, language = {en} } @article{BordoloiSanchezNoeietal.2014, author = {Bordoloi, Ankur and Sanchez, Miguel and Noei, Heshmat and Kaluza, Stefan and Großmann, Dennis and Wang, Yuemin and Gr{\"u}nert, Wolfgang and Muhler, Martin}, title = {Catalytic Behaviour of Mesoporous Cobalt-Aluminum Oxides for CO Oxidation}, series = {Journal of Catalysts}, journal = {Journal of Catalysts}, publisher = {Hindawi}, issn = {2314-5110}, doi = {10.1155/2014/807545}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-34344}, pages = {1 -- 9}, year = {2014}, language = {en} } @article{Haeusler2018, author = {H{\"a}usler, Alexander}, title = {Populismus auf der politischen B{\"u}hne}, series = {iQ konkret}, journal = {iQ konkret}, number = {1}, pages = {12}, year = {2018}, language = {de} } @article{ZanderKollmannsbergerRuessetal.2012, author = {Zander, Nils and Kollmannsberger, Stefan and Ruess, Martin and Yosibash, Z. and Rank, Ernst}, title = {The Finite Cell Method for linear thermoelasticity}, series = {Computers \& Mathematics with Applications}, volume = {64}, journal = {Computers \& Mathematics with Applications}, number = {11}, publisher = {Elsevier}, issn = {0898-1221}, doi = {10.1016/j.camwa.2012.09.002}, pages = {3527 -- 3541}, year = {2012}, language = {en} } @article{GuoRuess2015, author = {Guo, Yujie and Ruess, Martin}, title = {Weak Dirichlet boundary conditions for trimmed thin isogeometric shells}, series = {Computers \& Mathematics with Applications}, volume = {70}, journal = {Computers \& Mathematics with Applications}, number = {7}, publisher = {Elsevier}, issn = {0898-1221}, doi = {10.1016/j.camwa.2015.06.012}, pages = {1425 -- 1440}, year = {2015}, language = {de} } @article{GuoHellerHughesetal.2018, author = {Guo, Yujie and Heller, Jason and Hughes, Thomas J.R. and Ruess, Martin and Schillinger, Dominik}, title = {Variationally consistent isogeometric analysis of trimmed thin shells at finite deformations, based on the STEP exchange format}, series = {Computer Methods in Applied Mechanics and Engineering}, volume = {336}, journal = {Computer Methods in Applied Mechanics and Engineering}, publisher = {Elsevier}, issn = {0045-7825}, doi = {10.1016/j.cma.2018.02.027}, pages = {39 -- 79}, year = {2018}, language = {en} } @article{GroenLangelaarSigmundetal.2017, author = {Groen, Jeroen P. and Langelaar, Matthijs and Sigmund, Ole and Ruess, Martin}, title = {Higher-order multi-resolution topology optimization using the finite cell method}, series = {International Journal for Numerical Methods in Engineering}, volume = {110}, journal = {International Journal for Numerical Methods in Engineering}, number = {10}, publisher = {Wiley}, issn = {1097-0207}, doi = {10.1002/nme.5432}, pages = {903 -- 920}, year = {2017}, language = {en} } @article{AmanoMatsushitaYanagawaetal.1998, author = {Amano, Katsumi and Matsushita, Fumio and Yanagawa, Hirofumi and Cohen, Michael and Herder, Jens and Martens, William and Koba, Yoshiharu and Tohyama, Mikio}, title = {A Virtual Reality Sound System Using Room-Related Transfer Functions Delivered Through a Multispeaker Array: the PSFC at the University of Aizu Multimedia Center}, series = {TVRSJ}, volume = {3}, journal = {TVRSJ}, number = {1}, publisher = {J-STAGE}, doi = {10.18974/tvrsj.3.1_1}, pages = {1 -- 12}, year = {1998}, abstract = {The PSFC, or Pioneer Sound Field Controller, is a DSP-driven hemispherical loudspeaker array, installed at the University of Aizu Multimedia Center. The PSFC features realtime manipulation of the primary components of sound spatialization for each of two audio sources located in a virtual environment, including the content (apparent direction and distance) and context (room characteristics: reverberation level, room size and liveness). In an alternate mode, it can also direct the destination of the two separate input signals across 14 loudspeakers, manipulating the direction of the virtual sound sources with no control over apparent distance other than that afforded by source loudness (including no simulated environmental reflections or reverberation). The PSFC speaker dome is about 10 m in diameter, accommodating about fifty simultaneous users, including about twenty users comfortably standing or sitting near its ``sweet spot,'' the area in which the illusions of sound spatialization are most vivid. Collocated with a large screen rear-projection stereographic display, the PSFC is intended for advanced multimedia and virtual reality applications.}, language = {en} } @article{HuberSchnaussRoenickeetal.2013, author = {Huber, Florian and Schnauß, J{\"o}rg and R{\"o}nicke, S. and Rauch, P. and M{\"u}ller, K. and F{\"u}tterer, C. and K{\"a}s, Josef}, title = {Emergent complexity of the cytoskeleton: from single filaments to tissue}, series = {Advances in Physics}, volume = {62}, journal = {Advances in Physics}, number = {1}, publisher = {Taylor \& Francis}, issn = {1460-6976}, doi = {10.1080/00018732.2013.771509}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-34812}, pages = {1 -- 112}, year = {2013}, abstract = {Despite their overwhelming complexity, living cells display a high degree of internal mechanical and functional organization which can largely be attributed to the intracellular biopolymer scaffold, the cytoskeleton. Being a very complex system far from thermodynamic equilibrium, the cytoskeleton's ability to organize is at the same time challenging and fascinating. The extensive amounts of frequently interacting cellular building blocks and their inherent multifunctionality permits highly adaptive behavior and obstructs a purely reductionist approach. Nevertheless (and despite the field's relative novelty), the physics approach has already proved to be extremely successful in revealing very fundamental concepts of cytoskeleton organization and behavior. This review aims at introducing the physics of the cytoskeleton ranging from single biopolymer filaments to multicellular organisms. Throughout this wide range of phenomena, the focus is set on the intertwined nature of the different physical scales (levels of complexity) that give rise to numerous emergent properties by means of self-organization or self-assembly.}, language = {en} } @article{HuberRidderVerhoevenetal.2021, author = {Huber, Florian and Ridder, Lars and Verhoeven, Stefan and Spaaks, Jurriaan H. and Diblen, Faruk and Rogers, Simon and van der Hooft, Justin J. J.}, title = {Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships}, series = {PLOS Computational Biology}, volume = {17}, journal = {PLOS Computational Biology}, number = {2}, publisher = {Cold Spring Harbor Laboratory}, organization = {PLOS}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1008724}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-34687}, year = {2021}, abstract = {Spectral similarity is used as a proxy for structural similarity in many tandem mass spectrometry (MS/MS) based metabolomics analyses such as library matching and molecular networking. Although weaknesses in the relationship between spectral similarity scores and the true structural similarities have been described, little development of alternative scores has been undertaken. Here, we introduce Spec2Vec, a novel spectral similarity score inspired by a natural language processing algorithm-Word2Vec. Spec2Vec learns fragmental relationships within a large set of spectral data to derive abstract spectral embeddings that can be used to assess spectral similarities. Using data derived from GNPS MS/MS libraries including spectra for nearly 13,000 unique molecules, we show how Spec2Vec scores correlate better with structural similarity than cosine-based scores. We demonstrate the advantages of Spec2Vec in library matching and molecular networking. Spec2Vec is computationally more scalable allowing structural analogue searches in large databases within seconds.}, language = {en} } @article{SchornVerhoevenRidderetal.2021, author = {Schorn, Michelle A. and Verhoeven, Stefan and Ridder, Lars and Huber, Florian and Acharya, Deepa D. and Aksenov, Alexander A. and Aleti, Gajender and Moghaddam, Jamshid Amiri and Aron, Allegra T. and Aziz, Saefuddin and Bauermeister, Anelize and Bauman, Katherine D. and Baunach, Martin and Beemelmanns, Christine and Beman, J. Michael and Berlanga-Clavero, Mar{\´i}a Victoria and Blacutt, Alex A. and Bode, Helge B. and Boullie, Anne and Brejnrod, Asker and Bugni, Tim S. and Calteau, Alexandra and Cao, Liu and Carri{\´o}n, V{\´i}ctor J. and Castelo-Branco, Raquel and Chanana, Shaurya and Chase, Alexander B. and Chevrette, Marc G. and Costa-Lotufo, Leticia V. and Crawford, Jason M. and Currie, Cameron R. and Cuypers, Bart and Dang, Tam and de Rond, Tristan and Demko, Alyssa M. and Dittmann, Elke and Du, Chao and Drozd, Christopher and Dujardin, Jean-Claude and Dutton, Rachel J. and Edlund, Anna and Fewer, David P. and Garg, Neha and Gauglitz, Julia M. and Gentry, Emily C. and Gerwick, Lena and Glukhov, Evgenia and Gross, Harald and Gugger, Muriel and Guill{\´e}n Matus, Dulce G. and Helfrich, Eric J. N. and Hempel, Benjamin-Florian and Hur, Jae-Seoun and Iorio, Marianna and Jensen, Paul R. and Kang, Kyo Bin and Kaysser, Leonard and Kelleher, Neil L. and Kim, Chung Sub and Kim, Ki Hyun and Koester, Irina and K{\"o}nig, Gabriele M. and Leao, Tiago and Lee, Seoung Rak and Lee, Yi-Yuan and Li, Xuanji and Little, Jessica C. and Maloney, Katherine N. and M{\"a}nnle, Daniel and Martin H, Christian and McAvoy, Andrew C. and Metcalf, Willam W. and Mohimani, Hosein and Molina-Santiago, Carlos and Moore, Bradley S. and Mullowney, Michael W. and Muskat, Mitchell and Nothias, Louis-F{\´e}lix and O'Neill, Ellis C. and Parkinson, Elizabeth I. and Petras, Daniel and Piel, J{\"o}rn and Pierce, Emily C. and Pires, Karine and Reher, Raphael and Romero, Diego and Roper, M. Caroline and Rust, Michael and Saad, Hamada and Saenz, Carmen and Sanchez, Laura M. and S{\o}rensen, S{\o}ren Johannes and Sosio, Margherita and S{\"u}ssmuth, Roderich D. and Sweeney, Douglas and Tahlan, Kapil and Thomson, Regan J. and Tobias, Nicholas J. and Trindade-Silva, Amaro E. and van Wezel, Gilles P. and Wang, Mingxun and Weldon, Kelly C. and Zhang, Fan and Ziemert, Nadine and Duncan, Katherine R. and Cr{\"u}semann, Max and Rogers, Simon and Dorrestein, Pieter C. and Medema, Marnix H. and van der Hooft, Justin J. J.}, title = {A community resource for paired genomic and metabolomic data mining}, series = {Nature Chemical Biology}, volume = {17}, journal = {Nature Chemical Biology}, number = {4}, publisher = {Nature}, issn = {1552-4469}, doi = {10.1038/s41589-020-00724-z}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-34708}, pages = {363 -- 368}, year = {2021}, language = {en} }