@article{Šimik2019,
  author    = {Šim{\´i}k, Radek},
  title     = {On doubling unconditionals},
  series = {Of trees and birds. A Festschrift for Gisbert Fanselow},
  journal   = {Of trees and birds. A Festschrift for Gisbert Fanselow},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-457-9},
  doi       = {10.25932/publishup-43226},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-432267},
  pages     = {155 -- 169},
  year      = {2019},
  language  = {en}
}
@misc{ŚlęzakMetzlerMagdziarz2019,
  author    = {Ślęzak, Jakub and Metzler, Ralf and Magdziarz, Marcin},
  title     = {Codifference can detect ergodicity breaking and non-Gaussianity},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {748},
  doi       = {10.25932/publishup-43617},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-436178},
  pages     = {25},
  year      = {2019},
  abstract  = {We show that the codifference is a useful tool in studying the ergodicity breaking and non-Gaussianity properties of stochastic time series. While the codifference is a measure of dependence that was previously studied mainly in the context of stable processes, we here extend its range of applicability to random-parameter and diffusing-diffusivity models which are important in contemporary physics, biology and financial engineering. We prove that the codifference detects forms of dependence and ergodicity breaking which are not visible from analysing the covariance and correlation functions. We also discuss a related measure of dispersion, which is a nonlinear analogue of the mean squared displacement.},
  language  = {en}
}
@misc{ŚlęzakBurneckiMetzler2019,
  author    = {Ślęzak, Jakub and Burnecki, Krzysztof and Metzler, Ralf},
  title     = {Random coefficient autoregressive processes describe Brownian yet non-Gaussian diffusion in heterogeneous systems},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {765},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-43792},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-437923},
  pages     = {18},
  year      = {2019},
  abstract  = {Many studies on biological and soft matter systems report the joint presence of a linear mean-squared displacement and a non-Gaussian probability density exhibiting, for instance, exponential or stretched-Gaussian tails. This phenomenon is ascribed to the heterogeneity of the medium and is captured by random parameter models such as 'superstatistics' or 'diffusing diffusivity'. Independently, scientists working in the area of time series analysis and statistics have studied a class of discrete-time processes with similar properties, namely, random coefficient autoregressive models. In this work we try to reconcile these two approaches and thus provide a bridge between physical stochastic processes and autoregressive models.Westart from the basic Langevin equation of motion with time-varying damping or diffusion coefficients and establish the link to random coefficient autoregressive processes. By exploring that link we gain access to efficient statistical methods which can help to identify data exhibiting Brownian yet non-Gaussian diffusion.},
  language  = {en}
}
@article{ZurekFaass2019,
  author    = {Zurek, Peter Paul and Faaß, Marcel},
  title     = {Pers{\"o}nlichkeitspsychologisch fundierte Studienorientierung durch onlinebasierte Self-Assessments},
  series = {Alles auf Anfang! Befunde und Perspektiven zum Studieneingang},
  journal   = {Alles auf Anfang! Befunde und Perspektiven zum Studieneingang},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-452-4},
  issn      = {2192-1075},
  doi       = {10.25932/publishup-42852},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-428529},
  pages     = {245 -- 256},
  year      = {2019},
  language  = {de}
}
@misc{ZouhalAbderrahmanDupontetal.2019,
  author    = {Zouhal, Hassane and Abderrahman, Abderraouf Ben and Dupont, Gregory and Truptin, Pablo and Le Bris, R{\´e}gis and Le Postec, Erwan and Sghaeir, Zouita and Brughelli, Matt and Granacher, Urs and Bideau, Benoit},
  title     = {Effects of Neuromuscular Training on Agility Performance in Elite Soccer Players},
  series = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  number    = {575},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-43735},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-437358},
  pages     = {9},
  year      = {2019},
  abstract  = {Background: Agility in general and change-of-direction speed (CoD) in particular represent important performance determinants in elite soccer. Objectives: The objectives of this study were to determine the effects of a 6-week neuromuscular training program on agility performance, and to determine differences in movement times between the slower and faster turning directions in elite soccer players. Materials and Methods: Twenty male elite soccer players from the Stade Rennais Football Club (Ligue 1, France) participated in this study. The players were randomly assigned to a neuromuscular training group (NTG, n = 10) or an active control (CG, n = 10) according to their playing position. NTG participated in a 6-week, twice per week neuromuscular training program that included CoD, plyometric and dynamic stability exercises. Neuromuscular training replaced the regular warm-up program. Each training session lasted 30 min. CG continued their regular training program. Training volume was similar between groups. Before and after the intervention, the two groups performed a reactive agility test that included 180° left and right body rotations followed by a 5-m linear sprint. The weak side was defined as the left/right turning direction that produced slower overall movement times (MT). Reaction time (RT) was assessed and defined as the time from the first appearance of a visual stimulus until the athlete's first movement. MT corresponded to the time from the first movement until the athlete reached the arrival gate (5 m distance). Results: No significant between-group baseline differences were observed for RT or MT. Significant group x time interactions were found for MT (p = 0.012, effect size = 0.332, small) for the slower and faster directions (p = 0.011, effect size = 0.627, moderate). Significant pre-to post improvements in MT were observed for NTG but not CG (p = 0.011, effect size = 0.877, moderate). For NTG, post hoc analyses revealed significant MT improvements for the slower (p = 0.012, effect size = 0.897, moderate) and faster directions (p = 0.017, effect size = 0.968, moderate). Conclusion: Our results illustrate that 6 weeks of neuromuscular training with two sessions per week included in the warm-up program, significantly enhanced agility performance in elite soccer players. Moreover, improvements were found on both sides during body rotations. Thus, practitioners are advised to focus their training programs on both turning directions.},
  language  = {en}
}
@misc{ZollDiehlSiebert2019,
  author    = {Zoll, Felix and Diehl, Katharina and Siebert, Rosemarie},
  title     = {Integrating sustainability goals in innovation processes},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  number    = {1036},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-47342},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-473420},
  pages     = {17},
  year      = {2019},
  abstract  = {The innovative dual-purpose chicken approach aims at contributing to the transition towards sustainable poultry production by avoiding the culling of male chickens. To successfully integrate sustainability aspects into innovation, goal congruency among actors and clearly communicating the added value within the actor network and to consumers is needed. The challenge of identifying common sustainability goals calls for decision support tools. The objectives of our research were to investigate whether the tool could assist in improving communication and marketing with respect to sustainability and optimizing the value chain organization. Three actor groups participated in the tool application, in which quantitative and qualitative data were collected. The results showed that there were manifold sustainability goals within the innovation network, but only some goals overlapped, and the perception of their implementation also diverged. While easily marketable goals such as 'animal welfare' were perceived as being largely implemented, economic goals were prioritized less often, and the implementation was perceived as being rather low. By visualizing congruencies and differences in the goals, the tool helped identify fields of action, such as improved information flows and prompted thinking processes. We conclude that the tool is useful for managing complex decision processes with several actors involved.},
  language  = {en}
}
@misc{ZinkeWarnkeGaebleretal.2019,
  author    = {Zinke, Fridolin and Warnke, Torsten and G{\"a}bler, Martijn and Granacher, Urs},
  title     = {Effects of Isokinetic Training on Trunk Muscle Fitness and Body Composition in World-Class Canoe Sprinters},
  series = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  number    = {536},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-42489},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-424898},
  year      = {2019},
  abstract  = {In canoe sprint, the trunk muscles play an important role in stabilizing the body in an unstable environment (boat) and in generating forces that are transmitted through the shoulders and arms to the paddle for propulsion of the boat. Isokinetic training is well suited for sports in which propulsion is generated through water resistance due to similarities in the resistive mode. Thus, the purpose of this study was to determine the effects of isokinetic training in addition to regular sport-specific training on trunk muscular fitness and body composition in world-class canoeists and to evaluate associations between trunk muscular fitness and canoe-specific performance. Nine world-class canoeists (age: 25.6 ± 3.3 years; three females; four world champions; three Olympic gold medalists) participated in an 8-week progressive isokinetic training with a 6-week block "muscle hypertrophy" and a 2-week block "muscle power." Pre- and post-tests included the assessment of peak isokinetic torque at different velocities in concentric (30 and 140∘s-1) and eccentric (30 and 90∘s-1) mode, trunk muscle endurance, and body composition (e.g., body fat, segmental lean mass). Additionally, peak paddle force was assessed in the flume at a water current of 3.4 m/s. Significant pre-to-post increases were found for peak torque of the trunk rotators at 30∘s-1 (p = 0.047; d = 0.4) and 140∘s-1 (p = 0.014; d = 0.7) in concentric mode. No significant pre-to-post changes were detected for eccentric trunk rotator torque, trunk muscle endurance, and body composition (p > 0.148). Significant medium-to-large correlations were observed between concentric trunk rotator torque but not trunk muscle endurance and peak paddle force, irrespective of the isokinetic movement velocity (all r ≥ 0.886; p ≤ 0.008). Isokinetic trunk rotator training is effective in improving concentric trunk rotator strength in world-class canoe sprinters. It is recommended to progressively increase angular velocity from 30∘s-1 to 140∘s-1 over the course of the training period.},
  language  = {en}
}
@misc{ZimmermannKujauConradetal.2019,
  author    = {Zimmermann, Matthias and Kujau, Josephine and Conrad, Hanno Cornelius and Kampe, Heike and Scholz, Jana and Seidel, Nina-Luisa and Eckardt, Barbara and Horn-Conrad, Antje and von Bode, K{\"a}the},
  title     = {Portal = Wohnen},
  number    = {02/2019},
  organization    = {Universit{\"a}t Potsdam, Referat f{\"u}r Presse- und {\"O}ffentlichkeitsarbeit},
  issn      = {1618-6893},
  doi       = {10.25932/publishup-44074},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-440742},
  pages     = {58},
  year      = {2019},
  abstract  = {Zuhause. Ein sch{\"o}nes Wort, wenn man eines hat. Ein Sehnsuchtswort, wenn man keines hat oder das eigene Zuhause nicht sicher ist. Zuhause steht auf dem Spiel, das zeigten die Nachrichten der vergangenen Monate und Jahre - in Potsdam und Berlin ebenso wie in vielen anderen St{\"a}dten. {\"U}berall fehlt Wohnraum, den sich Menschen leisten k{\"o}nnen. Seit Monaten kursiert auch in unserem Referat die Frage: Gibt es etwas Neues wegen deiner Wohnung? Streit mit dem Vermieter, Eigent{\"u}merwechsel oder eine auszehrende Wohnungssuche - was uns pers{\"o}nlich besch{\"a}ftigt, ist derzeit {\"u}berall zu h{\"o}ren. Deswegen m{\"o}chten wir in der aktuellen Ausgabe des Universit{\"a}tsmagazins Portal dem Thema Wohnen auf den Grund gehen. Was bedeutet der Mangel an bezahlbarem Wohnraum f{\"u}r die soziale Mischung und wie kann die Politik hier eingreifen? Das haben wir einen Sozialwissenschaftler gefragt. Und wir haben uns umgeh{\"o}rt, wie Studierende und Besch{\"a}ftigte der Universit{\"a}t Potsdam eigentlich wohnen, was f{\"u}r sie Zuhause ist und was ihnen Sorgen bereitet. Wir haben einen Blick in die Wohnheime auf dem Campus Golm gewagt und zeigen Ihnen eine Vision des Standorts als Lebensraum nach menschlichem Maß. Aber auch das Klima l{\"a}sst uns nicht kalt: Wie kann sich eine Stadt wie Potsdam, Wohnort von fast 180.000 Menschen, k{\"u}nftig besser auf Wetterextreme vorbereiten? Wie Sie sicherlich schon bemerkt haben, erscheint die Portal in einem neuen Gewand. Doch wie eh und je haben wir die Menschen an der Universit{\"a}t besucht - in der Hoffnung, dass Sie einander an dieser großen Einrichtung mit den drei Standorten etwas besser kennenlernen. Und auch die Leserinnen und Leser, die die Uni Potsdam nicht so gut kennen, m{\"o}chten wir in das Leben an unserer Hochschule einf{\"u}hren. Wir haben Studierende getroffen, die sich besonders engagieren: f{\"u}r den Schutz des Klimas, die Gleichstellung aller Geschlechter oder im Fakult{\"a}tsrat. Andere musizieren miteinander. In der Serie „Mein Arbeitstag" fragen wir, welche Aufgaben allt{\"a}glich in der Universit{\"a}tsbibliothek zu bew{\"a}ltigen sind. Eine Auszubildende hat ihren Praktikumsalltag im fernen Hongkong mit uns geteilt, w{\"a}hrend uns ein Seminar der Lehrerbildung in die Virtual Reality entf{\"u}hrt. Wir lernen hyperschnelle Sterne und das beste Mittel gegen R{\"u}ckenschmerzen kennen. Was die menschliche Stimme mit den Bewegungen der Erde zu tun hat, erfahren Sie in einem „Laborbesuch". Im „Gespr{\"a}ch" unterh{\"a}lt sich ein Klimaforscher mit einem Sch{\"u}ler und wir zeigen, wo sich Uni und Stadt gefunden haben. Wir nehmen Sie mit in die entstehende „European Digital UniverCity" und erkundigen uns in einer internen „Expertenanfrage" nach einer neuen Frauenbewegung in der Katholischen Kirche. Neugierig haben wir einem Slavisten 15 forsche Fragen gestellt. Ein Linguist erkl{\"a}rt uns, ob und wie wir Außerirdische verstehen k{\"o}nnen, wenn sie denn mit uns sprechen wollen. Wir haben mit einer ausgezeichneten Juristin {\"u}ber die Todesstrafe gesprochen und mit einer Postdoktorandin {\"u}ber selbstspielende Klaviere. Da auch eine junge Uni wie die unsere {\"a}lter wird, schauen wir in der „Zeitreise" zur{\"u}ck in die Kinderstube der Alma Mater und pusten mit Humor den Staub von den Akten. In der Serie „Es war einmal" {\"a}ußern sich zwei Forschende zu einem geschichtlichen Jubil{\"a}um. Und weil unser (und hoffentlich auch Ihr) Wissensdurst keine Grenzen kennt, haben wir ein Wissenschaftswort herumgedreht: den Turn. Was das ist und warum einem davon schwindelig werden kann - lesen Sie es selbst!},
  language  = {de}
}
@misc{ZimmermannHornConradGoerlichetal.2019,
  author    = {Zimmermann, Matthias and Horn-Conrad, Antje and G{\"o}rlich, Petra and Schlegel, Karoline and Kampe, Heike},
  title     = {Portal Wissen = Artificial intelligence},
  number    = {01/2019},
  editor    = {Engel, Silke and Zimmermann, Matthias},
  address   = {54},
  organization    = {University of Potsdam, Press and Public Relations Department},
  issn      = {2198-9974},
  doi       = {10.25932/publishup-44246},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-442469},
  year      = {2019},
  abstract  = {For a long time, there were things on this planet that only humans could do, but this time might be coming to an end. By using the universal tool that makes us unique - our intelligence - we have worked to eliminate our uniqueness, at least when it comes to solving cognitive tasks. Artificial intelligence is now able to play chess, understand language, and drive a car - and often better than we. How did we get here? The philosopher Aristotle formulated the first "laws of thought" in his syllogisms, and the mathematicians Blaise Pascal and Wilhelm Leibniz built some of the earliest calculating machines. The mathematician George Boole was the first to introduce a formal language to represent logic. The natural scientist Alan Turing created his deciphering machine "Colossus," the first programmable computer. Philosophers, mathematicians, psychologists, and linguists - for centuries, scientists have been developing formulas, machines, and theories that were supposed to enable us to reproduce and possibly even enhance our most valuable ability. But what exactly is "artificial intelligence"? Even the name calls for comparison. Is artificial intelligence like human intelligence? Alan Turing came up with a test in 1950 to provide a satisfying operational definition of intelligence: According to him, a machine is intelligent if its thinking abilities equal those of humans. It has to reach human levels for any cognitive task. The machine has to prove this by convincing a human interrogator that it is human. Not an easy task: After all, it has to process natural language, store knowledge, draw conclusions, and learn something new. In fact, over the past ten years, a number of AI systems have emerged that have passed the test one way or another in chat conversations with automatically generated texts or images. Nowadays, the discussion usually centers on other questions: Does AI still need its creators? Will it not only outperform humans but someday replace them - be it in the world of work or even beyond? Will AI solve our problems in the age of all-encompassing digital networking - or will it become a part of the problem? Artificial intelligence, its nature, its limitations, its potential, and its relationship to humans were being discussed even before it existed. Literature and film have created scenarios with very different endings. But what is the view of the scientists who are actually researching with or about artificial intelligence? For the current issue of our research magazine, a cognitive scientist, an education researcher, and a computer scientist shared their views. We also searched the University for projects whose professional environment reveals the numerous opportunities that AI offers for various disciplines. We cover the geosciences and computer science as well as economics, health, and literature studies. At the same time, we have not lost sight of the broad research spectrum at the University: a legal expert introduces us to the not-so-distant sphere of space law while astrophysicists work on ensuring that state-of-the-art telescopes observe those regions in space where something "is happening" at the right time. A chemist explains why the battery of the future will come from a printer, and molecular biologists explain how they will breed stress-resistant plants. You will read about all this in this issue as well as about current studies on restless legs syndrome in children and the situation of Muslims in Brandenburg. Last but not least, we will introduce you to the sheep currently grazing in Sanssouci Park - all on behalf of science. Quite clever! Enjoy your read! THE EDITORS},
  language  = {en}
}
@misc{ZimmermannHornConradGoerlichetal.2019,
  author    = {Zimmermann, Matthias and Horn-Conrad, Antje and G{\"o}rlich, Petra and Krafzik, Carolin and Kampe, Heike and Schlegel, Karoline and Eckardt, Barbara and B{\"u}rkner, Hans-Joachim and Engel, Silke},
  title     = {Portal Wissen = K{\"u}nstliche Intelligenz},
  number    = {01/2019},
  organization    = {Universit{\"a}t Potsdam, Referat f{\"u}r Presse- und {\"O}ffentlichkeitsarbeit},
  issn      = {2194-4237},
  doi       = {10.25932/publishup-44094},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-440942},
  pages     = {97},
  year      = {2019},
  abstract  = {Lange gab es auf der Erde Dinge, die konnte nur der Mensch. Doch diese Zeit k{\"o}nnte zu Ende gehen. Mithilfe des universalen Werkzeugs, das uns einzigartig macht - unserer Intelligenz -, haben wir daf{\"u}r gesorgt, dass wir es nicht l{\"a}nger sind. Zumindest wenn es darum geht, kognitive Aufgaben zu l{\"o}sen. K{\"u}nstliche Intelligenz kann inzwischen Schach spielen, Sprache verstehen, Auto fahren. Vieles sogar besser als wir. Wie kam es dazu? Der Philosoph Aristoteles schuf mit seinen Syllogismen die ersten „Gesetze des Denkens", die Mathematiker Blaise Pascal und Wilhelm Leibniz bauten einige der fr{\"u}hesten Rechenmaschinen, der Mathematiker George Boole f{\"u}hrte als erster eine formale Sprache zur Darstellung der Logik ein, der Naturwissenschaftler Alan Turing schuf mit seiner Dechiffriermaschine „Colossus" den ersten programmierbaren Computer. Philosophen, Mathematiker, Psychologen, Linguisten - seit Jahrhunderten entwickeln Wissenschaftlerin- nen und Wissenschaftler Formeln, Maschinen und Theorien, die es m{\"o}glich machen sollen, unsere wertvollste F{\"a}higkeit zu reproduzieren und wom{\"o}glich sogar zu verbessern. Aber was ist das eigentlich: „K{\"u}nstliche Intelligenz"? Schon die Bezeichnung fordert zum Vergleich auf. Ist K{\"u}nstliche Intelligenz wie menschliche Intelligenz? Alan Turing formulierte 1950 einen Test, der eine befriedigende operationale Definition von Intelligenz liefern sollte: Intelligent ist eine Maschine demnach, wenn sie ein dem Menschen gleichwertiges Denkverm{\"o}gen besitzt. Sie muss also bei beliebigen kognitiven Aufgaben dasselbe Niveau erreichen. Beweisen muss sie dies, indem sie einen menschlichen Fragenden glauben l{\"a}sst, sie sei ein Mensch. Keine leichte Sache: Immerhin muss sie daf{\"u}r nat{\"u}rliche Sprache verarbeiten, Wissen speichern, aus diesem Schl{\"u}sse ziehen und Neues lernen k{\"o}nnen. Tats{\"a}chlich entstanden in den vergangenen zehn Jahren etliche KI-Systeme, die in Chat- Gespr{\"a}chen, mit automatisch erzeugten Texten oder Bildern den Test auf die eine oder andere Weise bestanden. Im Fokus stehen nun meist andere Fragen: Braucht KI ihre Sch{\"o}pfer {\"u}berhaupt noch? Wird sie den Menschen nicht nur {\"u}berfl{\"u}geln, sondern eines Tages sogar ersetzen - sei es in der Welt der Arbeit oder sogar dar{\"u}ber hinaus? L{\"o}st KI im Zeitalter der allumfassenden digitalen Vernetzung unsere Probleme - oder wird sie Teil davon? {\"U}ber K{\"u}nstliche Intelligenz, ihr Wesen, ihre Beschr{\"a}nkungen, ihr Potenzial und ihr Verh{\"a}ltnis zum Menschen wird nicht erst diskutiert seitdem es sie gibt. Vor allem Literatur und Kino haben Szenarien mit verschiedenstem Ausgang kreiert. Aber wie sehen das Wissenschaftler, die mit oder zu K{\"u}nstlicher Intelligenz forschen? F{\"u}r die aktuelle Ausgabe des Forschungsmagazins kamen ein Kognitionswissenschaftler, eine Bildungsforscherin und ein Informatiker dar{\"u}ber ins Gespr{\"a}ch. Daneben haben wir uns in der Hochschule nach Projekten umgesehen, deren fachliche Heimat die zahlreichen M{\"o}glichkeiten offenbart, die KI f{\"u}r viele Disziplinen erahnen l{\"a}sst. So geht die Reise in die Geowissenschaften und die Informatik ebenso wie die Wirtschafts-, Gesundheits- und Literaturwissenschaften. Daneben haben wir die Breite der Forschung an der Universit{\"a}t nicht aus den Augen verloren: Ein Jurist f{\"u}hrt ein in die gar nicht so weltferne Sph{\"a}re des Weltraumrechts, w{\"a}hrend Astrophysiker daran arbeiten, dass modernste Teleskope zum richtigen Zeitpunkt genau in die Regionen des Weltraums schauen, wo gerade etwas „los ist". Eine Chemikerin erkl{\"a}rt, warum die Batterie der Zukunft aus dem Drucker kommt, und Molekularbiologen berichten, wie sie stressresistente Pflanzen z{\"u}chten wollen. Mit menschlichem Stress in der Arbeitswelt besch{\"a}ftigt sich nicht nur ein Forschungs-, sondern auch ein Gr{\"u}nderprojekt. Dar{\"u}ber ist in diesem Heft genauso zu lesen wie {\"u}ber aktuelle Studien zum Restless Legs Syndrom bei Kindern oder aber der Situation von Muslimen in Brandenburg. Nicht zuletzt machen wir Sie mit jenen Schafen bekannt, die derzeit im Park Sanssouci weiden - im Auftrag der Wissenschaft. Gar nicht so dumm! Viel Vergn{\"u}gen! Die Redaktion},
  language  = {de}
}