@phdthesis{Hauser2020,
  author    = {Hauser, Matthias},
  title     = {Smart Store Applications in Fashion Retail},
  doi       = {10.25972/OPUS-19301},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193017},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {Traditional fashion retailers are increasingly hard-pressed to keep up with their digital competitors. In this context, the re-invention of brick-and-mortar stores as smart retail environments is being touted as a crucial step towards regaining a competitive edge. This thesis describes a design-oriented research project that deals with automated product tracking on the sales floor and presents three smart fashion store applications that are tied to such localization information: (i) an electronic article surveillance (EAS) system that distinguishes between theft and non-theft events, (ii) an automated checkout system that detects customers' purchases when they are leaving the store and associates them with individual shopping baskets to automatically initiate payment processes, and (iii) a smart fitting room that detects the items customers bring into individual cabins and identifies the items they are currently most interested in to offer additional customer services (e.g., product recommendations or omnichannel services). The implementation of such cyberphysical systems in established retail environments is challenging, as architectural constraints, well-established customer processes, and customer expectations regarding privacy and convenience pose challenges to system design. To overcome these challenges, this thesis leverages Radio Frequency Identification (RFID) technology and machine learning techniques to address the different detection tasks. To optimally configure the systems and draw robust conclusions regarding their economic value contribution, beyond technological performance criteria, this thesis furthermore introduces a service operations model that allows mapping the systems' technical detection characteristics to business relevant metrics such as service quality and profitability. This analytical model reveals that the same system component for the detection of object transitions is well suited for the EAS application but does not have the necessary high detection accuracy to be used as a component of an automated checkout system.},
  subject      = {Laden},
  language  = {en}
}
@article{NemesJohannSteinbuegletal.2022,
  author    = {Nemes, Karolina and Johann, Pascal D. and Steinb{\"u}gl, Mona and Gruhle, Miriam and Bens, Susanne and Kachanov, Denis and Teleshova, Margarita and Hauser, Peter and Simon, Thorsten and Tippelt, Stephan and Eberl, Wolfgang and Chada, Martin and Lopez, Vicente Santa-Maria and Grigull, Lorenz and Hern{\´a}iz-Driever, Pablo and Eyrich, Matthias and Pears, Jane and Milde, Till and Reinhard, Harald and Leipold, Alfred and van de Wetering, Marianne and Gil-da-Costa, Maria Jo{\~a}o and Ebetsberger-Dachs, Georg and Kerl, Kornelius and Lemmer, Andreas and Boztug, Heidrun and Furtw{\"a}ngler, Rhoikos and Kordes, Uwe and Vokuhl, Christian and Hasselblatt, Martin and Bison, Brigitte and Kr{\"o}ncke, Thomas and Melchior, Patrick and Timmermann, Beate and Gerss, Joachim and Siebert, Reiner and Fr{\"u}hwald, Michael C.},
  title     = {Infants and newborns with atypical teratoid rhabdoid tumors (ATRT) and extracranial malignant rhabdoid tumors (eMRT) in the EU-RHAB registry: a unique and challenging population},
  series = {Cancers},
  volume    = {14},
  journal   = {Cancers},
  number    = {9},
  issn      = {2072-6694},
  doi       = {10.3390/cancers14092185},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-270730},
  year      = {2022},
  abstract  = {Introduction: Malignant rhabdoid tumors (MRT) predominantly affect infants and young children. Patients below six months of age represent a particularly therapeutically challenging group. Toxicity to developing organ sites limits intensity of treatment. Information on prognostic factors, genetics, toxicity of treatment and long-term outcomes is sparse. Methods: Clinical, genetic, and treatment data of 100 patients (aged below 6 months at diagnosis) from 13 European countries were analyzed (2005-2020). Tumors and matching blood samples were examined for SMARCB1 mutations using FISH, MLPA and Sanger sequencing. DNA methylation subgroups (ATRT-TYR, ATRT-SHH, and ATRT-MYC) were determined using 450 k / 850 k-profiling. Results: A total of 45 patients presented with ATRT, 29 with extracranial, extrarenal (eMRT) and 9 with renal rhabdoid tumors (RTK). Seventeen patients demonstrated synchronous tumors (SYN). Metastases (M+) were present in 27\% (26/97) at diagnosis. A germline mutation (GLM) was detected in 55\% (47/86). DNA methylation subgrouping was available in 50\% (31 / 62) with ATRT or SYN; for eMRT, methylation-based subgrouping was not performed. The 5-year overall (OS) and event free survival (EFS) rates were 23.5 ± 4.6\% and 19 ± 4.1\%, respectively. Male sex (11 ± 5\% vs. 35.8 ± 7.4\%), M+ stage (6.1 ± 5.4\% vs. 36.2 ± 7.4\%), presence of SYN (7.1 ± 6.9\% vs. 26.6 ± 5.3\%) and GLM (7.7 ± 4.2\% vs. 45.7 ± 8.6\%) were significant prognostic factors for 5-year OS. Molecular subgrouping and survival analyses confirm a previously described survival advantage for ATRT-TYR. In an adjusted multivariate model, clinical factors that favorably influence the prognosis were female sex, localized stage, absence of a GLM and maintenance therapy. Conclusions: In this cohort of homogenously treated infants with MRT, significant predictors of outcome were sex, M-stage, GLM and maintenance therapy. We confirm the need to stratify which patient groups benefit from multimodal treatment, and which need novel therapeutic strategies. Biomarker-driven tailored trials may be a key option.},
  language  = {en}
}