@article{ReinersAsamFreyetal.2021,
  author    = {Reiners, Philipp and Asam, Sarah and Frey, Corinne and Holzwarth, Stefanie and Bachmann, Martin and Sobrino, Jose and G{\"o}ttsche, Frank-M. and Bendix, J{\"o}rg and Kuenzer, Claudia},
  title     = {Validation of AVHRR Land Surface Temperature with MODIS and in situ LST — a TIMELINE thematic processor},
  series = {Remote Sensing},
  volume    = {13},
  journal   = {Remote Sensing},
  number    = {17},
  issn      = {2072-4292},
  doi       = {10.3390/rs13173473},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-246051},
  year      = {2021},
  abstract  = {Land Surface Temperature (LST) is an important parameter for tracing the impact of changing climatic conditions on our environment. Describing the interface between long- and shortwave radiation fluxes, as well as between turbulent heat fluxes and the ground heat flux, LST plays a crucial role in the global heat balance. Satellite-derived LST is an indispensable tool for monitoring these changes consistently over large areas and for long time periods. Data from the AVHRR (Advanced Very High-Resolution Radiometer) sensors have been available since the early 1980s. In the TIMELINE project, LST is derived for the entire operating period of AVHRR sensors over Europe at a 1 km spatial resolution. In this study, we present the validation results for the TIMELINE AVHRR daytime LST. The validation approach consists of an assessment of the temporal consistency of the AVHRR LST time series, an inter-comparison between AVHRR LST and in situ LST, and a comparison of the AVHRR LST product with concurrent MODIS (Moderate Resolution Imaging Spectroradiometer) LST. The results indicate the successful derivation of stable LST time series from multi-decadal AVHRR data. The validation results were investigated regarding different LST, TCWV and VA, as well as land cover classes. The comparisons between the TIMELINE LST product and the reference datasets show seasonal and land cover-related patterns. The LST level was found to be the most determinative factor of the error. On average, an absolute deviation of the AVHRR LST by 1.83 K from in situ LST, as well as a difference of 2.34 K from the MODIS product, was observed.},
  language  = {en}
}
@article{SzymskiAschenbachKrutschetal.2021,
  author    = {Szymski, Dominik and Aschenbach, Leonard and Krutsch, Volker and Alt, Volker and Meffert, Rainer and Krutsch, Werner and Fehske, Kai},
  title     = {Injury epidemiology in men's professional team sports: is media analysis helpful?},
  series = {Archives of Orthopaedic and Trauma Surgery},
  volume    = {141},
  journal   = {Archives of Orthopaedic and Trauma Surgery},
  number    = {4},
  issn      = {1434-3916},
  doi       = {10.1007/s00402-020-03743-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-266690},
  pages     = {655-661},
  year      = {2021},
  abstract  = {Introduction Epidemiological injury surveillance in professional sports is often based on online media analysis in order to collect necessary data. However, the validation of this study protocol is lacking. Therefore, this study aimed to identify the validity of injury surveillance in men's professional team sports based on media reports. Methods In a retrospective cohort study, the validity of media-data-relating injuries was investigated in participating teams of the highest two German divisions in men's professional basketball (BB) and handball (HB) in the season 2018/2019. Injury protocols completed by the team physicians were compared to those of sports media injury reports. Results The study population was composed of 133 athletes (54 BB and 79 HB). Of 343 injuries reported by the team physicians, 151 (44\%) could be identified by means of sports media reports. Severe injuries (n = 75, 72\%) were reported more likely in sports media compared to less severe injuries (n = 76, 32\%, p < 0.00001). Odds ratio (OR) was 5.33 (95\% CI 3.22-8.82). No differences regarding injury reporting could be seen between the two team sports. Conclusion For severe injuries, media analysis may be a sufficient method for data collection in popular men's professional ball sports. An underestimation of true injury prevalence lies within the range of previous reported investigations concerning the validation of injury surveillance methods. Non-severe injuries could not be verified via media analysis in professional handball and basketball.},
  language  = {en}
}
@article{MayrKleinRutzingeretal.2021,
  author    = {Mayr, Stefan and Klein, Igor and Rutzinger, Martin and Kuenzer, Claudia},
  title     = {Determining temporal uncertainty of a global inland surface water time series},
  series = {Remote Sensing},
  volume    = {13},
  journal   = {Remote Sensing},
  number    = {17},
  issn      = {2072-4292},
  doi       = {10.3390/rs13173454},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-245234},
  year      = {2021},
  abstract  = {Earth observation time series are well suited to monitor global surface dynamics. However, data products that are aimed at assessing large-area dynamics with a high temporal resolution often face various error sources (e.g., retrieval errors, sampling errors) in their acquisition chain. Addressing uncertainties in a spatiotemporal consistent manner is challenging, as extensive high-quality validation data is typically scarce. Here we propose a new method that utilizes time series inherent information to assess the temporal interpolation uncertainty of time series datasets. For this, we utilized data from the DLR-DFD Global WaterPack (GWP), which provides daily information on global inland surface water. As the time series is primarily based on optical MODIS (Moderate Resolution Imaging Spectroradiometer) images, the requirement of data gap interpolation due to clouds constitutes the main uncertainty source of the product. With a focus on different temporal and spatial characteristics of surface water dynamics, seven auxiliary layers were derived. Each layer provides probability and reliability estimates regarding water observations at pixel-level. This enables the quantification of uncertainty corresponding to the full spatiotemporal range of the product. Furthermore, the ability of temporal layers to approximate unknown pixel states was evaluated for stratified artificial gaps, which were introduced into the original time series of four climatologic diverse test regions. Results show that uncertainty is quantified accurately (>90\%), consequently enhancing the product's quality with respect to its use for modeling and the geoscientific community.},
  language  = {en}
}
@article{UrlaubKaiserScherf‐Claveletal.2021,
  author    = {Urlaub, Jonas and Kaiser, Reinhard P. and Scherf-Clavel, Oliver and Bolm, Carsten and Holzgrabe, Ulrike},
  title     = {Investigation of isomerization of dexibuprofen in a ball mill using chiral capillary electrophoresis},
  series = {Electrophoresis},
  volume    = {42},
  journal   = {Electrophoresis},
  number    = {17-18},
  doi       = {10.1002/elps.202000307},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-225852},
  pages     = {1790 -- 1799},
  year      = {2021},
  abstract  = {Besides the racemate, the S-enantiomer of ibuprofen (Ibu) is used for the treatment of inflammation and pain. Since the configurational stability of S-Ibu in solid state is of interest, it was studied by means of ball milling experiments. For the evaluation of the enantiomeric composition, a chiral CE method was developed and validated according to the ICH guideline Q2(R1). The addition of Mg\(^{2+}\), Ca\(^{2+}\), or Zn\(^{2+}\) ions to the background electrolyte (BGE) was found to improve Ibu enantioresolution. Chiral separation of Ibu enantiomers was achieved on a 60.2 cm (50.0 cm effective length) x 75 μm fused-silica capillary using a background electrolyte (BGE) composed of 50 mM sodium acetate, 10 mM magnesium acetate tetrahydrate, and 35 mM heptakis-(2,3,6-tri-O-methyl)-β-cyclodextrin (TM-β-CD) as chiral selector. The quantification of R-Ibu in the mixture was performed using the normalization procedure. Linearity was evaluated in the range of 0.68-5.49\% R-Ibu (R\(^{2}\) = 0.999), recovery was found to range between 97 and 103\%, the RSD of intra- and interday precision below 2.5\%, and the limit of quantification for R- in S-Ibu was calculated to be 0.21\% (extrapolated) and 0.15\% (dilution of racemic ibuprofen), respectively. Isomerization of S-Ibu was observed under basic conditions by applying long milling times and high milling frequencies.},
  language  = {en}
}