@article{GriegerSchwabedalWendeletal.2021,
  author    = {Grieger, Niklas and Schwabedal, Justus T. C. and Wendel, Stefanie and Ritze, Yvonne and Bialonski, Stephan},
  title     = {Automated scoring of pre-REM sleep in mice with deep learning},
  series = {Scientific Reports},
  volume    = {11},
  journal   = {Scientific Reports},
  number    = {Art. 12245},
  publisher = {Springer Nature},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/s41598-021-91286-0},
  year      = {2021},
  abstract  = {Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, and Non-REM. Meanwhile, it has been recognized that the statistics of transitional stages such as pre-REM, found between Non-REM and REM, may hold additional insight into the physiology of sleep and are now under vivid investigation. We propose a classification system based on a simple neural network architecture that scores the classical stages as well as pre-REM sleep in mice. When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0.95 in male C57BL/6J mice. When unrestricted, the network showed lower F1 scores on pre-REM (0.5) compared to the classical stages. The result is comparable to previous attempts to score transitional stages in other species such as transition sleep in rats or N1 sleep in humans. Nevertheless, we observed that the sequence of predictions including pre-REM typically transitioned from Non-REM to REM reflecting sleep dynamics observed by human scorers. Our findings provide further evidence for the difficulty of scoring transitional sleep stages, likely because such stages of sleep are under-represented in typical data sets or show large inter-scorer variability. We further provide our source code and an online platform to run predictions with our trained network.},
  language  = {en}
}
@article{GorzalkaSchmiedtSchorn2021,
  author    = {Gorzalka, Philip and Schmiedt, Jacob Estevam and Schorn, Christian},
  title     = {Automated Generation of an Energy Simulation Model for an Existing Building from UAV Imagery},
  series = {Buildings},
  volume    = {11},
  journal   = {Buildings},
  number    = {9},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2075-5309},
  doi       = {10.3390/buildings11090380},
  pages     = {15 Seiten},
  year      = {2021},
  abstract  = {An approach to automatically generate a dynamic energy simulation model in Modelica for a single existing building is presented. It aims at collecting data about the status quo in the preparation of energy retrofits with low effort and costs. The proposed method starts from a polygon model of the outer building envelope obtained from photogrammetrically generated point clouds. The open-source tools TEASER and AixLib are used for data enrichment and model generation. A case study was conducted on a single-family house. The resulting model can accurately reproduce the internal air temperatures during synthetical heating up and cooling down. Modelled and measured whole building heat transfer coefficients (HTC) agree within a 12\% range. A sensitivity analysis emphasises the importance of accurate window characterisations and justifies the use of a very simplified interior geometry. Uncertainties arising from the use of archetype U-values are estimated by comparing different typologies, with best- and worst-case estimates showing differences in pre-retrofit heat demand of about ±20\% to the average; however, as the assumptions made are permitted by some national standards, the method is already close to practical applicability and opens up a path to quickly estimate possible financial and energy savings after refurbishment.},
  language  = {en}
}
@article{Golland2021,
  author    = {Golland, Alexander},
  title     = {Bußgelder wegen Datenschutzverst{\"o}ßen - Vermeidung und Verteidigung. Deutsche Aufsichtsbeh{\"o}rden setzen seit vergangenem Jahr zunehmend auf Sanktion},
  series = {NWB Steuer- und Wirtschaftsrecht},
  volume    = {36},
  journal   = {NWB Steuer- und Wirtschaftsrecht},
  publisher = {NWB-Verl.},
  address   = {Herne},
  isbn      = {0028-3460},
  pages     = {2678 -- 2687},
  year      = {2021},
  language  = {de}
}
@article{Golland2021,
  author    = {Golland, Alexander},
  title     = {Das Telekommunikation-Telemedien-Datenschutzgesetz. Cookies und PIMS als Herausforderungen f{\"u}r Website-Betreiber},
  series = {NJW Neue Juristische Wochenschrift},
  journal   = {NJW Neue Juristische Wochenschrift},
  number    = {31},
  editor    = {Ewer, Wolfgang and Hamm, Rainer and Karpenstein, Ulrich and Oberth{\"u}r, Nathalie and Herchen, Hilke and Br{\"a}utigam, Peter},
  publisher = {Beck},
  address   = {M{\"u}nchen},
  issn      = {0341-1915},
  pages     = {2238 -- 2243},
  year      = {2021},
  language  = {de}
}
@article{Golland2021,
  author    = {Golland, Alexander},
  title     = {Anforderungen an Transfer Impact Assessments bei Datentransfers in unsichere Drittl{\"a}nder},
  series = {DSB Datenschutz-Berater},
  volume    = {45},
  journal   = {DSB Datenschutz-Berater},
  number    = {7-8},
  publisher = {dfv Mediengruppe, Deutscher Fachverlag GmbH},
  address   = {Frankfurt am Main},
  isbn      = {0170-7256},
  pages     = {229 -- 231},
  year      = {2021},
  language  = {de}
}
@article{Golland2021,
  author    = {Golland, Alexander},
  title     = {Neuregelungen zum Datenschutz: Ein Update f{\"u}r Website-Betreiber. Reform des Telekom-munikations- und Telemedienrechts verabschiedet},
  series = {NWB Rechnungswesen - BBK},
  journal   = {NWB Rechnungswesen - BBK},
  number    = {14},
  isbn      = {0340-9848},
  pages     = {672 -- 674},
  year      = {2021},
  language  = {de}
}
@article{Golland2021,
  author    = {Golland, Alexander},
  title     = {Cookies \& Co. - trotz neuem Gesetz alte Probleme f{\"u}r Website-Betreiber. Anpassung des deutschen Rechts durch das TTDSG an unionsrechtliche Vorgaben zum 1.12.2021},
  series = {NWB Steuer- und Wirtschaftsrecht},
  volume    = {2021},
  journal   = {NWB Steuer- und Wirtschaftsrecht},
  number    = {25},
  publisher = {NWB-Verlag},
  address   = {Basel},
  issn      = {0028-3460},
  pages     = {1818 -- 1825},
  year      = {2021},
  language  = {de}
}
@article{Golland2021,
  author    = {Golland, Alexander},
  title     = {Datenschutzkonforme Test-, Impf- und Genesungskontrollen in Betrieben der Privatwirtschaft},
  series = {DSB Datenschutz-Berater},
  volume    = {45},
  journal   = {DSB Datenschutz-Berater},
  number    = {5},
  publisher = {dfv Mediengruppe, Deutscher Fachverlag GmbH},
  address   = {Frankfurt am Main},
  issn      = {0170-7256},
  pages     = {158 -- 160},
  year      = {2021},
  language  = {de}
}
@misc{Golland2021,
  author    = {Golland, Alexander},
  title     = {Rezension zu: Voskamp, Kipker - Sozialdatenschutz in der Praxis (2021)},
  series = {DSB Datenschutz-Berater},
  volume    = {45},
  journal   = {DSB Datenschutz-Berater},
  number    = {7-8},
  issn      = {0170-7256},
  pages     = {239 -- 240},
  year      = {2021},
  language  = {de}
}
@misc{Golland2021,
  author    = {Golland, Alexander},
  title     = {Rezension zu: Voigt - Die r{\"a}umliche Anwendbarkeit der EU Datenschutz-Grundverordnung auf Auftragsverarbeiter im Drittland (2020)},
  series = {DSB Datenschutz-Berater},
  volume    = {45},
  journal   = {DSB Datenschutz-Berater},
  number    = {2},
  issn      = {0170-7256},
  pages     = {64},
  year      = {2021},
  language  = {de}
}