@techreport{KrewerSchaepersAndersenetal., author = {Krewer, Carmen and Sch{\"a}pers, Barbara and Andersen, Henning Boje and Linner, Thomas and Steinb{\"o}ck, Martina and Hu, Rongbo and Zhao, Charlie and G{\"u}ttler, J{\"o}rg and Schlandt, Marcel and Valk, Carlijn and Lu, Yuan. and Kulev, Igor and Salehzadeh Niksirat, Kavous and Larsen, Rasmus Tostrup and Schrader, Lisa and Partyga, P. and Kraul, M. and Kozak, Dominika and Schwarze, A.-K. and Rusu, Alexandru and Murali, S. and Ricon, F. and Lingeg{\aa}rd, H. and v. Zanten, B. and Lovei, Peter and Visser, Thomas and Seelinger, A. and van den Boom, Camilla and Steenbakkers, J. and Henriksen, L. and Randrinambelonoro, M. and Perrine, C.}, title = {Formalized results of final testing and optimization activities: Summarization of testing and evaluation of final testing of continuously improved system in the form of prototypes in real world environments and presentation of optimization measures.}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-36195}, abstract = {Deliverable D28: Formalized results of final testing and optimization activities: Summarization of testing and evaluation of final testing of continuously improved system in the form of prototypes in real world environments and presentation of optimization measures (associated with tasks T6.5, T6.6, T6.7, T6.8). D28 is an update on D27. Additional associated deliverables are D12, D13, D23, D31, and D44. Abstract: In order to provide a comprehensive summary of all testing activities, the medical core group (DTU, HUG, SK, TUM) created a mini protocol template (which requested the outline of some methodological aspects of each study such as study designs, the recruitment phase, population under investigation, etc.), and ensured that data were submitted and provided by the trial manager to the core group. In this deliverable we present, structure, and interpret the formalized results of the final testing and optimization activities of all testing activities in REACH. The deliverable includes the summarization of testing and evaluation of final testing of a continuously improved system in the form of prototypes in real world environments and the presentation of optimization measures. The deliverable is an update on deliverable D27 and associated with tasks T6.5, T6.6, T6.7, T6.8. In reaction to the reviewers' comments we initiated additional trials focusing on practice cases. Those trials are specifically ladled and included in the updated overview. A review on factors, i.e., falling, frailty, cognitive decline , sarcopenia, social isolation, and malnutrician, was performed to show the most important cofactors. Addressed in this deliverable is also the role of privacy and the hierarchy of needs which are essential components of the acceptance and use of technology .}, language = {en} } @inproceedings{CantalloubeGomezGonzalezAbsiletal., author = {Cantalloube, Faustine and Gomez-Gonzalez, Carlos and Absil, Olivier and Cantero, Carles and Bacher, Regis and Bonse, Markus and Bottom, Michael and Dahlqvist, Carl-Henrik and Desgrange, C{\´e}lia and Flasseur, Olivier and Fuhrmann, Thomas and Henning, Thomas H. and Jensen-Clem, Rebecca and Kenworthy, Matthew and Mawet, Dimitri and Mesa, Dino and Meshkat, Tiffany and Mouillet, David and M{\"u}ller, Andr{\´e} and Nasedkin, Evert and Pairet, Benoit and Pi{\´e}rard, S{\´e}bastien and Ruffio, Jean-Baptiste and Samland, Matthias and Stone, Jordan and van Droogenbroeck, Marc}, title = {Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection}, series = {Adaptive Optics Systems VII : 14-22 December 2020, online only, United States}, booktitle = {Adaptive Optics Systems VII : 14-22 December 2020, online only, United States}, editor = {Schmidt, Dirk and Schreiber, Laura and Vernet, Elise}, publisher = {SPIE}, isbn = {9781510636835}, doi = {10.1117/12.2574803}, pages = {321}, abstract = {The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. The data challenge is hosted on the CodaLab competition platform, where participants can upload their results. The specifications of the data challenge are published on our website https://exoplanet-imaging-challenge.github.io/. The first phase, launched on the 1st of September 2019 and closed on the 1st of October 2020, consisted in detecting point sources in two types of common data-set in the field of high-contrast imaging: data taken in pupil-tracking mode at one wavelength (subchallenge 1, also referred to as ADI) and multispectral data taken in pupil-tracking mode (subchallenge 2, also referred to as ADI+mSDI). In this paper, we describe the approach, organisational lessons-learnt and current limitations of the data challenge, as well as preliminary results of the participants' submissions for this first phase. In the future, we plan to provide permanent access to the standard library of data sets and metrics, in order to guide the validation and support the publications of innovative image processing algorithms dedicated to high-contrast imaging of planetary systems.}, language = {en} } @techreport{LinnerSteenbakkersvandenBoometal., author = {Linner, Thomas and Steenbakkers, S. and van den Boom, Camilla and Lu, Yuan and Hu, Rongbo and Zhao, Charlie and Partyga, P. and Kaul, M. and Lingeg{\aa}rd, H. and Ricon, F. and Murali, S. and van Zanten, B. and Valk, Carlijn and Sole, M., C., and Andersen, Henning Boje}, title = {Business model proposals for the REACH system and sub-systems: Presentation of the outcome of the detailing of business models for system and subsystems}, abstract = {This deliverable report focuses on the exploitation of the results and solutions from the REACH2020 research project and subsequent business models, associated with task T8.4. In particular, this report gives an overview of the progress regarding the purpose and planning of a REACH consultancy firm, including business models and marketing strategies for systems and sub-systems. Moreover, this report provides insight into possible market segmentation solutions over the care continuum. Furthermore, status updates are provided with regard to a number of practice cases where REACH achieved external visibility and effects and gathered information on the alignment of its business system. Furthermore, the results for exemplary value chains are presented for specific REACH sub-systems. For the exploitation of the results after the end of the research project, an agreement for future collaboration was signed with the New North Zealand Hospital, reflecting REACH's capability and aim to become a major player and partner for strengthening the ecosystem around future smart hospitals.}, language = {en} }