@inbook{13282,
  abstract     = {{Green infrastructure is a novel approach to landscape planning. Its innovation potentials lie in the comprehensive view of nature and landscape, which includes ecological, socio-cultural, aesthetic, and economic aspects and addresses diverse socio-political goals such as climate change or social cohesion. The broadly based and in parts vague concept offers opportunities precisely because of the possibilities for interpretation to discuss and integrate the development of landscapes from different perspectives. Therefore, the planning and implementation of green infrastructure requires participatory approaches that involve various disciplines and interest groups as well as consider and promote civic engagement.}},
  author       = {{Pauleit, Stephan and Hansen, Rieke and van Lierop, Martina and Rall, Emily L. and Rolf, Werner}},
  booktitle    = {{Landscape Handbook : German Language Research Perspectives}},
  editor       = {{Kühne, Olaf and Weber, Florian and Berr, Karsten and Jenal, Corinna}},
  isbn         = {{978-3-031-83146-1}},
  issn         = {{2731-4510}},
  keywords     = {{Landscape planning, Multifunctionality, Connectivity, Integration, Participatory planning}},
  pages        = {{991–1002}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Green Infrastructure and Landscape}}},
  doi          = {{10.1007/978-3-031-83147-8_88}},
  year         = {{2025}},
}

@misc{13583,
  abstract     = {{Organ transplantation is associated with significant physical and psychological burden for the recipients. Qualitative reports indicate that organ recipients develop donor and donation images (DDI)—conceptions of the donor and/or the organ. A deeper understanding of DDI is needed in the care of transplant recipients. To present the current state of knowledge, we searched for and identified DDI-related publications in PubMed and Scopus. Inclusion criteria were (1) studies addressing transplant recipients, and (2) English or German language. Twenty-one studies of individuals with transplanted hearts, lungs, or kidneys were included in this scoping review. Prevalence for DDI ranged from 6% to 52.3%. DDI occurs both before and after transplantation and includes ideas about the donor as well as whether and how the recipient’s personality may be altered by the transplanted organ. Some transplant recipients did indeed report personality changes following transplantation due to the adoption of assumed donor characteristics. One study showed a positive association between the presence of DDI and anxiety scores and one described a coping effect. DDI is understudied and should be systematically assessed to improve care for the vulnerable group of individuals undergoing organ transplantation. Current research gaps and future directions are discussed.}},
  author       = {{Laskowski, Nora M.  and Brandt, Gerrit and Tigges-Limmer, Katharina and Halbeisen, Georg and Paslakis, Georgios}},
  booktitle    = {{Journal of Clinical Medicine}},
  issn         = {{2077-0383}},
  keywords     = {{donor image, donation image, organ integration, organ transplantation, heart transplantation, lung transplantation, kidney transplantation, DDI, psychocardiology, scoping review}},
  number       = {{3}},
  publisher    = {{MDPI}},
  title        = {{{Donor and Donation Images (DDI)-A Scoping Review of What We Know and What We Don't}}},
  doi          = {{10.3390/jcm12030952}},
  volume       = {{12}},
  year         = {{2023}},
}

@article{11590,
  abstract     = {{Reading centers provide centralized high-quality diagnostics in ophthalmic clinical trials. Since ophthalmic images are captured in electronic format at peripheral clinics, an integrated workflow for image transfer and creation of structured reports is needed, including quality assurance. The image portal and the study database are separate components. We assessed whether this integration is feasible with trial-related IT standards and built a prototype system as a proof-of-concept. CDISC ODM and OAuth authentication were used to integrate the image portal with x4T-EDC, facilitating automatic data transfer and single sign-on.}},
  author       = {{Bruland, Philipp and Kathöfer, Ulrike and Treder, Maximilian and Eter, Nicole and Dugas, Martin}},
  issn         = {{1879-8365}},
  journal      = {{Studies in health technology and informatics}},
  keywords     = {{Electronic Data Capture, Reading Center, System Integration}},
  pages        = {{1254}},
  publisher    = {{IOS Press}},
  title        = {{{Integrating x4T-EDC into an Image-Portal to Establish an Ophthalmic Reading Center.}}},
  volume       = {{245}},
  year         = {{2017}},
}

@misc{796,
  author       = {{Kelm, Jasper}},
  keywords     = {{2D-Tracking, 3D-Tracking, Integration, Kamera, Rekonstruktion}},
  pages        = {{89}},
  publisher    = {{Hochschule Ostwestfalen-Lippe}},
  title        = {{{3D-Tracking : Gegenüberstellung verschiedener Implementierungen in Labor- und Praxisanwendung}}},
  year         = {{2017}},
}

@inproceedings{2141,
  abstract     = {{Sensor and information fusion is recently a major topic which becomes important in machine diagnosis and conditioning for complex production machines and process engineering. It is a known fact that distributed automation systems have a major impact on signal processing and pattern recognition for machine diagnosis. Therefore, it is necessary to research and develop smart diagnosis methods which are applicable for distributed systems like resource-limited cyber-physical systems. In this paper we propose an new approach for sensor and information fusion based on Evidence Theory and socio-psychological decision-making. We show that context based condition monitoring is instantiated even in conflict situations, oc-curing in real life scenarios permanently. A simple but effective importance measure is proposed which controls the significance of conditioning propositions in a system.}},
  author       = {{Mönks, Uwe and Lohweg, Volker}},
  booktitle    = {{18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{978-1-4799-0862-2}},
  issn         = {{1946-0759 }},
  keywords     = {{Decision making, Robot sensing systems, Reliability, Production, Context, Fuzzy set theory, Data integration}},
  title        = {{{Machine Conditioning by Importance Controlled Information Fusion}}},
  doi          = {{10.1109/ETFA.2013.6647984}},
  year         = {{2013}},
}

@inproceedings{4827,
  abstract     = {{This video presents the Hello.Wall artefact in a mixedmedia set-up to support spontaneous, informal encounters in two remote lounge spaces of a distributed team. The Hello.Walls are used as awareness tools to know more about the remote team’s state and at the same time as a tool to smoothen transitions to place-based video communication among the remote teams ’ members. This connecting-remote-teams scenario was tested in a livinglab evaluation for several weeks and proved to foster remote informal encounters and thereby contributed to smooth and fluent project work in our Ambient-Agoras project. Keywords Ambient display, informative art, social architecture, awareness, cross-media integration, place-based video conferencing, distributed teams, interaction zones}},
  author       = {{Prante, Thorsten and Stenzel, Richard and Röcker, Carsten and van Alphen, Daniel and Streitz, Norbert and Magerkurth, Carsten and Plewe, D. A.}},
  booktitle    = {{Video Track and Adjunct Proceedings of the Sixth International Conference on Ubiquitous Computing (UBICOMP’04)}},
  keywords     = {{support remote informal encounter, remote team cross-media integration, informative art, informal encounter}},
  location     = {{Nottingham, England}},
  pages        = {{7--10}},
  title        = {{{Connecting Remote Teams: Cross-Media Integration to Support Remote Informal Encounters}}},
  year         = {{2004}},
}