@inproceedings{StreunAlKaddoumParletal.2012,
  author    = {Streun, M. and Al-Kaddoum, R. and Parl, C. and Pietrzyk, U. and Ziemons, Karl and Waasen, S. van},
  title     = {Simulation studies of optical photons in monolithic block scintillators},
  series = {2011 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)},
  booktitle = {2011 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-4673-0120-6 (electronic ISBN)},
  doi       = {10.1109/NSSMIC.2011.6154621},
  pages     = {1380 -- 1382},
  year      = {2012},
  abstract  = {The interest in PET detectors with monolithic block scintillators is growing. In order to obtain high spatial resolutions dedicated positioning algorithms are required. But even an ideal algorithm can only deliver information which is provided by the detector. In this simulation study we investigated the light distribution on one surface of cuboid LSO scintillators of different size. Scintillators with a large aspect ratio (small footprint and large height) showed significant position information only for a minimum interaction depth of the gamma particle. The results allow a quantitative estimate for a useful aspect ratio.},
  language  = {en}
}
@article{StreeseKotliarDeiserothetal.2020,
  author    = {Streese, Lukas and Kotliar, Konstantin and Deiseroth, Arne and Infanger, Denis and Gugleta, Konstantin and Schmaderer, Christoph and Hanssen, Henner},
  title     = {Retinal endothelial function in cardiovascular risk patients: A randomized controlled exercise trial},
  series = {Scandinavian Journal of Medicine and Science in Sports},
  volume    = {30},
  journal   = {Scandinavian Journal of Medicine and Science in Sports},
  number    = {2},
  publisher = {Wiley},
  address   = {Oxford},
  issn      = {1600-0838},
  doi       = {10.1111/sms.13560},
  pages     = {272 -- 280},
  year      = {2020},
  abstract  = {The aim of this study was to investigate, for the first time, the effects of high-intensity interval training (HIIT) on retinal microvascular endothelial function in cardiovascular (CV) risk patients. In the randomized controlled trial, middle-aged and previously sedentary patients with increased CV risk (aged 58 ± 6 years) with ≥ two CV risk factors were randomized into a 12-week HIIT (n = 33) or control group (CG, n = 36) with standard physical activity recommendations. A blinded examiner measured retinal endothelial function by flicker light-induced maximal arteriolar (ADmax) and venular (VDmax) dilatation as well as the area under the arteriolar (AFarea) and venular (VFarea) flicker curve using a retinal vessel analyzer. Standardized assessments of CV risk factors, cardiorespiratory fitness, and retinal endothelial function were performed before and after HIIT. HIIT reduced body mass index, fat mass, and low-density lipoprotein and increased muscle mass and peak oxygen uptake (VO2peak). Both ADmax (pre: 2.7 ± 2.1\%, post: 3.0 ± 2.2\%, P = .018) and AFarea (pre: 32.6 ± 28.4\%*s, post: 37.7 ± 30.6\%*s, P = .016) increased after HIIT compared with CG (ADmax, pre: 3.2 ± 1.8\%, post: 2.9 ± 1.8\%, P = .254; AFarea, pre: 41.6 ± 28.5\%*s, post: 37.8 ± 27.0\%*s, P = .186). Venular function remained unchanged after HIIT. There was a significant association between ∆-change VO2peak and ∆-changes ADmax and AFarea (P = .026, R² = 0.073; P = .019, R² = 0.081, respectively). 12-weeks of HIIT improved retinal endothelial function in middle-aged patients with increased CV risk independent of the reduction in classical CV risk factors. Exercise has the potential to reverse or at least postpone progression of small vessel disease in older adults with increased CV risk under standard medication. Dynamic retinal vessel analysis seems to be a sensitive tool to detect treatment effects of exercise interventions on retinal microvascular endothelial function in middle-aged individuals with increased CV risk.},
  language  = {en}
}
@inproceedings{StopforthFerreinSteinbauer2015,
  author    = {Stopforth, Riaan and Ferrein, Alexander and Steinbauer, Gerald},
  title     = {Europe and South African collaboration on the Mechatronics and Robotics systems as part of the SA Robotics Center},
  series = {ICRA 2015 Developing Countries Forum},
  booktitle = {ICRA 2015 Developing Countries Forum},
  pages     = {3 S.},
  year      = {2015},
  abstract  = {Mechatronics consist of the integration of mechanical engineering, electronic integration and computer science/ engineering. These broad fields are essential for robotic systems, yet it makes it difficult for the researchers to specialize and be experts in all these fields. Collaboration between researchers allow for the integration of experience and specialization, to allow optimized systems. Collaboration between the European countries and South Africa is critical, as each country has different resources available, which the other countries might not have. Applications with the need for approval of any restrictions, can also be obtained easier in some countries compared to others, thus preventing the delays of research. Some problems that have been experienced are discussed, with the Robotics Center of South Africa as a possible solution.},
  language  = {en}
}
@inproceedings{StopforthDavrajhFerrein2017,
  author    = {Stopforth, Riaan and Davrajh, Shaniel and Ferrein, Alexander},
  title     = {South African robotics entity for a collaboration initiative},
  series = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  booktitle = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  publisher = {IEEE},
  isbn      = {978-1-5090-3335-5},
  doi       = {10.1109/RoboMech.2016.7813144},
  pages     = {1 -- 6},
  year      = {2017},
  language  = {en}
}
@inproceedings{StopforthDavrajhFerrein2017,
  author    = {Stopforth, Riaan and Davrajh, Shaniel and Ferrein, Alexander},
  title     = {Design considerations of the duo fugam dual rotor UAV},
  series = {2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech)},
  booktitle = {2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech)},
  isbn      = {978-1-5386-2314-5},
  doi       = {10.1109/RoboMech.2017.8261115},
  pages     = {7 -- 13},
  year      = {2017},
  language  = {en}
}
@inproceedings{StollenwerkRiekeDahmenetal.2016,
  author    = {Stollenwerk, Dominik and Rieke, Christian and Dahmen, Markus and Pieper, Martin},
  title     = {Biogas Production Modelling : A Control System Engineering Approach},
  series = {IOP Conference Series: Earth and Environmental Science. Bd. 32},
  booktitle = {IOP Conference Series: Earth and Environmental Science. Bd. 32},
  issn      = {1755-1315},
  doi       = {10.1088/1755-1315/32/1/012008},
  pages     = {012008/1 -- 012008/4},
  year      = {2016},
  language  = {en}
}
@inproceedings{StollenwerkKuvarakulKuperjans2013,
  author    = {Stollenwerk, Dominik and Kuvarakul, T. and Kuperjans, Isabel},
  title     = {Renewable energy supply for power dominated, energy intense production processes - a systematic conversion approach for the anodizing process},
  series = {IOP conference series: Earth and environmental science (EES)},
  volume    = {Vol. 16},
  booktitle = {IOP conference series: Earth and environmental science (EES)},
  number    = {H. 1},
  issn      = {1755-1315},
  pages     = {012142/1 -- 012142/4},
  year      = {2013},
  language  = {en}
}
@article{StojnicSassKlaassenOrlovicetal.2013,
  author    = {Stojnic, Srdjan and Sass-Klaassen, Ute G. M. and Orlovic, Sasa and Matovic, Bratislav and Eilmann, Britta},
  title     = {Plastic growth response of European beech provenances to dry site conditions},
  volume    = {34},
  number    = {4},
  publisher = {Brill},
  address   = {Leiden},
  issn      = {0928-1541 (Print)},
  doi       = {10.1163/22941932-00000038},
  pages     = {475 -- 484},
  year      = {2013},
  language  = {en}
}
@article{StockMalindretosIndlekoferetal.2001,
  author    = {Stock, J. and Malindretos, J. and Indlekofer, K.M. and P{\"o}ttgens, Michael and F{\"o}rster, Arnold and L{\"u}th, Hans},
  title     = {A Vertical Resonant Tunneling Transistor for Application in Digital Logic Circuits},
  series = {IEEE Transactions on Electron Devices (T-ED). 48 (2001), H. 6},
  journal   = {IEEE Transactions on Electron Devices (T-ED). 48 (2001), H. 6},
  isbn      = {0018-9383},
  pages     = {1028 -- 1032},
  year      = {2001},
  language  = {en}
}
@article{StiemerThomaBraun2023,
  author    = {Stiemer, Luc Nicolas and Thoma, Andreas and Braun, Carsten},
  title     = {MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation},
  series = {PLoS ONE},
  volume    = {18},
  journal   = {PLoS ONE},
  number    = {9},
  publisher = {PLOS},
  address   = {San Fancisco},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0291415},
  pages     = {e0291415},
  year      = {2023},
  abstract  = {This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While tracking algorithms for bumblebees exist, they often come with intensive restrictions, such as the need for sufficient lighting, high contrast between the animal and background, absence of occlusion, significant user input, etc. Tracking flight paths of bumblebees in a social group is challenging. They suddenly adjust movements and change their appearance during different wing beat states while exhibiting significant similarities in their individual appearance. The MBT3D tracker, developed in this research, is an adaptation of an existing ant tracking algorithm for bumblebee tracking. It incorporates an offline trained appearance descriptor along with a Kalman Filter for appearance and motion matching. Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. The detection models were trained on a dataset containing 11359 labeled bumblebee images. YOLOv5 reaches an Average Precision of AP = 53, 8\%, Faster R-CNN achieves AP = 45, 3\% and RetinaNet AP = 38, 4\% on the bumblebee validation dataset, which consists of 1323 labeled bumblebee images. The tracker's appearance model is trained on 144 samples. The tracker (with Faster R-CNN detections) reaches a Multiple Object Tracking Accuracy MOTA = 93, 5\% and a Multiple Object Tracking Precision MOTP = 75, 6\% on a validation dataset containing 2000 images, competing with state-of-the-art computer vision methods. The framework allows reliable tracking of different bumblebees in the same video stream with rarely occurring identity switches (IDS). MBT3D has much lower IDS than other commonly used algorithms, with one of the lowest false positive rates, competing with state-of-the-art animal tracking algorithms. The developed framework reconstructs the 3-dimensional (3D) flight paths of the bumblebees by triangulation. It also handles and compares two alternative stereo camera pairs if desired.},
  language  = {en}
}