@article{KablauBergRutschmannetal.2020,
  author    = {Kablau, Arne and Berg, Stefan and Rutschmann, Benjamin and Scheiner, Ricarda},
  title     = {Short-term hyperthermia at larval age reduces sucrose responsiveness of adult honeybees and can increase life span},
  series = {Apidologie},
  volume    = {51},
  journal   = {Apidologie},
  issn      = {0044-8435},
  doi       = {10.1007/s13592-020-00743-8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-232462},
  pages     = {570-582},
  year      = {2020},
  abstract  = {Honeybees are very sensitive to their breeding temperature. Even slightly lower temperatures during larval development can significantly affect adult behavior. Several devices which are employed for killing the honeybee ectoparasite Varroa destructor rely on short-term hyperthermia in the honeybee hive. The device used here applies 43.7 °C for 2 h, which is highly effective in killing the mites. We study how short-term hyperthermia affects worker brood and behavior of emerging adult bees. Sucrose responsiveness was strongly reduced after treatment of larvae early or late of larval development. Hyperthermia significantly enhanced life span, particularly in bees receiving treated early in larval development. To ask whether increased life span correlated with foraging performance, we used radio frequency identification (RFID). Onset and offset of foraging behavior as well as foraging trip duration and lifetime foraging effort were unaffected by hyperthermia treatment as prepupa.},
  language  = {en}
}
@article{AlKassabThiesseBuckel2013,
  author    = {Al-Kassab, Jasser and Thiesse, Frederic and Buckel, Thomas},
  title     = {RFID Data Analytics in Retail Logistics: A Case Example},
  series = {Journal of Theoretical and Applied E-Commerce Research},
  volume    = {8},
  journal   = {Journal of Theoretical and Applied E-Commerce Research},
  number    = {2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-129500},
  pages     = {112-137},
  year      = {2013},
  abstract  = {The growing interest in Radio Frequency Identification (RFID) technology in recent years has sparked an intensive debate on the benefits to be expected. With the growth of RFID implementations in size and scope comes a shift away from infrastructural aspects to the question of how to draw value from the large amounts of collected data. However, the necessary procedures for the handling of massive RFID data sets are still an under-researched issue. Against this background, the study presents results from a real-world trial conducted by a large apparel retailer. The objective of the trial was to explore the opportunities for generating novel performance indicators and reports on the reality of store processes and customer behavior on the sales floor. We give an overview of the algorithms used for RFID data processing and the interpretation of the resulting insights from a practitioner's point of view. The case example thus provides an overview of the potential of RFID as a powerful tool for assortment optimization, customer research, store layout design, and other management tasks in retail.},
  language  = {en}
}