@misc{EhrigGolasHabeletal.2014,
  author    = {Ehrig, Hartmut and Golas, Ulrike and Habel, Annegret and Lambers, Leen and Orejas, Fernando},
  title     = {M-adhesive transformation systems with nested application conditions},
  series = {Postprints der Universit{\"a}t Potsdam : Digital Engineering Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Digital Engineering Reihe},
  number    = {001},
  doi       = {10.25932/publishup-41565},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-415651},
  pages     = {50},
  year      = {2014},
  abstract  = {Nested application conditions generalise the well-known negative application conditions and are important for several application domains. In this paper, we present Local Church-Rosser, Parallelism, Concurrency and Amalgamation Theorems for rules with nested application conditions in the framework of M-adhesive categories, where M-adhesive categories are slightly more general than weak adhesive high-level replacement categories. Most of the proofs are based on the corresponding statements for rules without application conditions and two shift lemmas stating that nested application conditions can be shifted over morphisms and rules.},
  language  = {en}
}
@misc{ShawGafos2015,
  author    = {Shaw, Jason A. and Gafos, Adamantios I.},
  title     = {Stochastic time models of syllable structure},
  series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  number    = {514},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-40981},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-409815},
  pages     = {36},
  year      = {2015},
  abstract  = {Drawing on phonology research within the generative linguistics tradition, stochastic methods, and notions from complex systems, we develop a modelling paradigm linking phonological structure, expressed in terms of syllables, to speech movement data acquired with 3D electromagnetic articulography and X-ray microbeam methods. The essential variable in the models is syllable structure. When mapped to discrete coordination topologies, syllabic organization imposes systematic patterns of variability on the temporal dynamics of speech articulation. We simulated these dynamics under different syllabic parses and evaluated simulations against experimental data from Arabic and English, two languages claimed to parse similar strings of segments into different syllabic structures. Model simulations replicated several key experimental results, including the fallibility of past phonetic heuristics for syllable structure, and exposed the range of conditions under which such heuristics remain valid. More importantly, the modelling approach consistently diagnosed syllable structure proving resilient to multiple sources of variability in experimental data including measurement variability, speaker variability, and contextual variability. Prospects for extensions of our modelling paradigm to acoustic data are also discussed.},
  language  = {en}
}
@misc{ComberMooneyPurvesetal.2016,
  author    = {Comber, Alexis and Mooney, Peter and Purves, Ross S. and Rocchini, Duccio and Walz, Ariane},
  title     = {Crowdsourcing: it matters who the crowd are},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {539},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-41089},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-410894},
  pages     = {19},
  year      = {2016},
  abstract  = {Volunteered geographical information (VGI) and citizen science have become important sources data for much scientific research. In the domain of land cover, crowdsourcing can provide a high temporal resolution data to support different analyses of landscape processes. However, the scientists may have little control over what gets recorded by the crowd, providing a potential source of error and uncertainty. This study compared analyses of crowdsourced land cover data that were contributed by different groups, based on nationality (labelled Gondor and Non-Gondor) and on domain experience (labelled Expert and Non-Expert). The analyses used a geographically weighted model to generate maps of land cover and compared the maps generated by the different groups. The results highlight the differences between the maps how specific land cover classes were under-and over-estimated. As crowdsourced data and citizen science are increasingly used to replace data collected under the designed experiment, this paper highlights the importance of considering between group variations and their impacts on the results of analyses. Critically, differences in the way that landscape features are conceptualised by different groups of contributors need to be considered when using crowdsourced data in formal scientific analyses. The discussion considers the potential for variation in crowdsourced data, the relativist nature of land cover and suggests a number of areas for future research. The key finding is that the veracity of citizen science data is not the critical issue per se. Rather, it is important to consider the impacts of differences in the semantics, affordances and functions associated with landscape features held by different groups of crowdsourced data contributors.},
  language  = {en}
}