@article{DonatKniggeDalbert2017,
  author    = {Donat, Matthias and Knigge, Michel and Dalbert, Claudia},
  title     = {Being a good or a just teacher},
  series = {Aggressive behavior : a multidisciplinary journal devoted to the experimental and observational analysis of conflict in humans and animals},
  volume    = {44},
  journal   = {Aggressive behavior : a multidisciplinary journal devoted to the experimental and observational analysis of conflict in humans and animals},
  number    = {1},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {0096-140X},
  doi       = {10.1002/ab.21721},
  pages     = {29 -- 39},
  year      = {2017},
  abstract  = {In two cross-sectional questionnaire studies with N = 2,931 German students, aged between 12 and 17 years (M = 14.1, SD = 0.5), we investigated the relation between students' bullying behavior and their personal belief in a just world (BJW). We considered students' personal experience of teacher justice as a possible mediator in this relation and investigated whether the students' experiences of their teachers' classroom management explained bullying behavior in addition to personal BJW and teacher justice, while statistically controlling for sex and school type. In both studies, multilevel modeling results showed that the more students endorsed personal BJW and the more they evaluated their teachers' behavior toward them personally as being just, the less likely they were to report that they bullied others. The students' personal experience of teacher justice mediated the association of personal BJW with bullying. Furthermore, the students' personal experience of classroom management significantly predicted bullying in addition to personal BJW and teacher justice. The observed relations were mainly significant at the individual level. The pattern of results persisted when we controlled for school type and when we considered student sex as a moderator. We discussed the adaptive functions of BJW and implications for future school research and practice.},
  language  = {en}
}
@article{MerksSwinarskiMeyeretal.2018,
  author    = {Merks, Anne Margarete and Swinarski, Marie and Meyer, Alexander Matthias and M{\"u}ller, Nicola Victoria and {\"O}zcan, Ismail and Donat, Stefan and Burger, Alexa and Gilbert, Stephen and Mosimann, Christian and Abdelilah-Seyfried, Salim and Panakova, Daniela},
  title     = {Planar cell polarity signalling coordinates heart tube remodelling through tissue-scale polarisation of actomyosin activity},
  series = {Nature Communications},
  volume    = {9},
  journal   = {Nature Communications},
  publisher = {Nature Publ. Group},
  address   = {London},
  issn      = {2041-1723},
  doi       = {10.1038/s41467-018-04566-1},
  pages     = {15},
  year      = {2018},
  abstract  = {Development of a multiple-chambered heart from the linear heart tube is inherently linked to cardiac looping. Although many molecular factors regulating the process of cardiac chamber ballooning have been identified, the cellular mechanisms underlying the chamber formation remain unclear. Here, we demonstrate that cardiac chambers remodel by cell neighbour exchange of cardiomyocytes guided by the planar cell polarity (PCP) pathway triggered by two non-canonical Wnt ligands, Wnt5b and Wnt11. We find that PCP signalling coordinates the localisation of actomyosin activity, and thus the efficiency of cell neighbour exchange. On a tissue-scale, PCP signalling planar-polarises tissue tension by restricting the actomyosin contractility to the apical membranes of outflow tract cells. The tissue-scale polarisation of actomyosin contractility is required for cardiac looping that occurs concurrently with chamber ballooning. Taken together, our data reveal that instructive PCP signals couple cardiac chamber expansion with cardiac looping through the organ-scale polarisation of actomyosin-based tissue tension.},
  language  = {en}
}
@article{HammerFaehOhrnberger2017,
  author    = {Hammer, Conny and F{\"a}h, Donat and Ohrnberger, Matthias},
  title     = {Automatic detection of wet-snow avalanche seismic signals},
  series = {Natural hazards : journal of the International Society for the Prevention and Mitigation of Natural Hazards},
  volume    = {86},
  journal   = {Natural hazards : journal of the International Society for the Prevention and Mitigation of Natural Hazards},
  publisher = {Springer},
  address   = {New York},
  issn      = {0921-030X},
  doi       = {10.1007/s11069-016-2707-0},
  pages     = {601 -- 618},
  year      = {2017},
  abstract  = {Avalanche activity is an important factor when estimating the regional avalanche danger. Moreover, a complete and detailed picture of avalanche activity is needed to understand the processes that lead to natural avalanche release. Currently, information on avalanche activity is mainly obtained through visual observations. However, this involves large uncertainties in the number and release times, influencing the subsequent analysis. Therefore, alternative methods for the remote detection of snow avalanches in particular in non-observed areas are highly desirable. In this study, we use the excited ground vibration to identify avalanches automatically. The specific seismic signature of avalanches facilitates the objective detection by a recently developed classification procedure. A probabilistic description of the signals, called hidden Markov models, allows the robust identification of corresponding signals in the continuous data stream. The procedure is based upon learning a general background model from continuous seismic data. Then, a single reference waveform is used to update an event-specific classifier. Thus, a minimum amount of training data is required by constructing such a classifier on the fly. In this study, we processed five days of continuous data recorded in the Swiss Alps during the avalanche winter 1999. With the restriction of testing large wet-snow avalanches only, the presented approach achieved very convincing results. We successfully detect avalanches over a large volume and distance range. Ninety-two percentage of all detections (43 out of 47) could be confirmed as avalanche events; only four false alarms are reported. We see a clear dependence of recognition capability on run-out distance and source-receiver distance of the observed events: Avalanches are detectable up to a source-receiver distance of eight times the avalanche length. Implications for analyzing a more comprehensive data set (smaller events and different flow regimes) are discussed in detail.},
  language  = {en}
}
@article{HammerOhrnbergerFaeh2013,
  author    = {Hammer, Conny and Ohrnberger, Matthias and Faeh, Donat},
  title     = {Classifying seismic waveforms from scratch: a case study in the alpine environment},
  series = {Geophysical journal international},
  volume    = {192},
  journal   = {Geophysical journal international},
  number    = {1},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {0956-540X},
  doi       = {10.1093/gji/ggs036},
  pages     = {425 -- 439},
  year      = {2013},
  abstract  = {Nowadays, an increasing amount of seismic data is collected by daily observatory routines. The basic step for successfully analyzing those data is the correct detection of various event types. However, the visually scanning process is a time-consuming task. Applying standard techniques for detection like the STA/LTAtrigger still requires the manual control for classification. Here, we present a useful alternative. The incoming data stream is scanned automatically for events of interest. A stochastic classifier, called hidden Markov model, is learned for each class of interest enabling the recognition of highly variable waveforms. In contrast to other automatic techniques as neural networks or support vector machines the algorithm allows to start the classification from scratch as soon as interesting events are identified. Neither the tedious process of collecting training samples nor a time-consuming configuration of the classifier is required. An approach originally introduced for the volcanic task force action allows to learn classifier properties from a single waveform example and some hours of background recording. Besides a reduction of required workload this also enables to detect very rare events. Especially the latter feature provides a milestone point for the use of seismic devices in alpine warning systems. Furthermore, the system offers the opportunity to flag new signal classes that have not been defined before. We demonstrate the application of the classification system using a data set from the Swiss Seismological Survey achieving very high recognition rates. In detail we document all refinements of the classifier providing a step-by-step guide for the fast set up of a well-working classification system.},
  language  = {en}
}
@article{LontsiGarciaJerezCamiloMolinaVillegasetal.2019,
  author    = {Lontsi, Agostiny Marrios and Garcia-Jerez, Antonio and Camilo Molina-Villegas, Juan and Jose Sanchez-Sesma, Francisco and Molkenthin, Christian and Ohrnberger, Matthias and Kr{\"u}ger, Frank and Wang, Rongjiang and Fah, Donat},
  title     = {A generalized theory for full microtremor horizontal-to-vertical [H/V(z,f)] spectral ratio interpretation in offshore and onshore environments},
  series = {Geophysical journal international},
  volume    = {218},
  journal   = {Geophysical journal international},
  number    = {2},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {0956-540X},
  doi       = {10.1093/gji/ggz223},
  pages     = {1276 -- 1297},
  year      = {2019},
  abstract  = {Advances in the field of seismic interferometry have provided a basic theoretical interpretation to the full spectrum of the microtremor horizontal-to-vertical spectral ratio [H/V(f)]. The interpretation has been applied to ambient seismic noise data recorded both at the surface and at depth. The new algorithm, based on the diffuse wavefield assumption, has been used in inversion schemes to estimate seismic wave velocity profiles that are useful input information for engineering and exploration seismology both for earthquake hazard estimation and to characterize surficial sediments. However, until now, the developed algorithms are only suitable for on land environments with no offshore consideration. Here, the microtremor H/V(z, f) modelling is extended for applications to marine sedimentary environments for a 1-D layered medium. The layer propagator matrix formulation is used for the computation of the required Green's functions. Therefore, in the presence of a water layer on top, the propagator matrix for the uppermost layer is defined to account for the properties of the water column. As an application example we analyse eight simple canonical layered earth models. Frequencies ranging from 0.2 to 50 Hz are considered as they cover a broad wavelength interval and aid in practice to investigate subsurface structures in the depth range from a few meters to a few hundreds of meters. Results show a marginal variation of 8 per cent at most for the fundamental frequency when a water layer is present. The water layer leads to variations in H/V peak amplitude of up to 50 per cent atop the solid layers.},
  language  = {en}
}
@misc{MerksSwinarskiMeyeretal.2018,
  author    = {Merks, Anne Margarete and Swinarski, Marie and Meyer, Alexander Matthias and M{\"u}ller, Nicola Victoria and {\"O}zcan, Ismail and Donat, Stefan and Burger, Alexa and Gilbert, Stephen and Mosimann, Christian and Abdelilah-Seyfried, Salim and Pan{\´a}kov{\´a}, Daniela},
  title     = {Planar cell polarity signalling coordinates heart tube remodelling through tissue-scale polarisation of actomyosin activity},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  number    = {849},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-42702},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-427026},
  pages     = {17},
  year      = {2018},
  abstract  = {Development of a multiple-chambered heart from the linear heart tube is inherently linked to cardiac looping. Although many molecular factors regulating the process of cardiac chamber ballooning have been identified, the cellular mechanisms underlying the chamber formation remain unclear. Here, we demonstrate that cardiac chambers remodel by cell neighbour exchange of cardiomyocytes guided by the planar cell polarity (PCP) pathway triggered by two non-canonical Wnt ligands, Wnt5b and Wnt11. We find that PCP signalling coordinates the localisation of actomyosin activity, and thus the efficiency of cell neighbour exchange. On a tissue-scale, PCP signalling planar-polarises tissue tension by restricting the actomyosin contractility to the apical membranes of outflow tract cells. The tissue-scale polarisation of actomyosin contractility is required for cardiac looping that occurs concurrently with chamber ballooning. Taken together, our data reveal that instructive PCP signals couple cardiac chamber expansion with cardiac looping through the organ-scale polarisation of actomyosin-based tissue tension.},
  language  = {en}
}