Effects of Sharing Old Pictures With Grandchildren on Intergenerational Relationships: Protocol for a Randomized Controlled Trial
Z. Gantumur, M. Baez Gonzalez, N.-E. Ulamnemekh, F. Ibarra, S. Myagmarjav, F. Casati, JMIR Research Protocols 9 (2020).

What Do We Mean By cPalliatived or cOncologic Cared? Conceptual Clarity Is Needed for Sound Research and Good Care
J. Schildmann, S. Nadolny, H.M. Buiting, Journal of Clinical Oncology 38 (2020) 2814–2815.

Outcomes of clinical ethics support near the end of life: A systematic review
J. Haltaufderheide, S. Nadolny, M. Gysels, C. Bausewein, J. Vollmann, J. Schildmann, Nursing Ethics 27 (2020) 838–854.

Limiting Treatment in Intensive Care
J. Schildmann, S. Nadolny, J. Haltaufderheide, M. Gysels, J. Vollmann, C. Bausewein, Critical Care Medicine 48 (2020) 230–232.

Diskussion des in CISPR 32 eingeführten Höhenscans bei der Emissionsmessung oberhalb 1 GHz
S. Battermann, K. Hemmerlein, in: Aachenf: Apprimus, 2020.

Implementierung und partizipative Gestaltung digitaler Gesundheitsinterventionen
A. Hochmuth, A.-K. Exner, C. Dockweiler, Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 63 (2020) 145–152.

Designing Open Informational Ecosystems on the Concept of Open Educational Resources
T. Heck, S. Kullmann, J. Hiebl, N. Schröder, D. Otto, P. Sander, Open Education Studies 2 (2020) 252–646.

Least-Squares-Based Construction Algorithm for Oblique and Mixed Regression Trees
M. Schöne, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut (Eds.), Proceedings - 30. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, 2020.

Least Squares Approach for Multivariate Split Selection in Regression Trees
M. Schöne, M. Kohlhase, in: C. Analide, P. Novais, D. Camacho, H. Yin (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, Springer International Publishing, Cham, 2020, pp. 41–50.

A Concept of enabling Data Consistency Checks between Production and Production Planning using AI
E. Gelwer, J. Weber, F. Bäumer, in: H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing, IADIS, Lisbon, Portugal, 2020.

Data Consistency from Production to Production Planning using AI
E. Gelwer, J. Weber, F. Bäumer, in: H. Weghorn (Ed.), Proceedings of the 17th International Conference on Applied Computing, IADIS, Lisbon, Portugal, 2020.

Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR
H.G. Meyer, D. Klimeck, J. Paskarbeit, U. Rückert, M. Egelhaaf, M. Porrmann, A. Schneider, PLOS ONE 15 (2020).

HDL and Software Sources for Bio-Inspired Visual Collision Avoidance on the Hexapod Robot HECTOR
H.G. Meyer, D. Klimeck, HDL and Software Sources for Bio-Inspired Visual Collision Avoidance on the Hexapod Robot HECTOR, Bielefeld University, 2020.

Tag Me If You Can: Insights into the Challenges of Supporting Unrestricted P News Tagging
F. Bäumer, J. Kersting, B. Buff, M. Geierhos, in: Information and Software Technologies, 2020.

SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH
J. Kersting, F. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 2020.

Contributions to the Efficient and Parallel Jacobian Evaluation and its Application in OpenModelica
W. Braun, M. Schroschk, V. Ruge, A. Heuermann, B. Bachmann, in: Proceedings of the American Modelica Conference 2020, Boulder, Colorado, USA, March 23-25, 2020, Linköping University Electronic Press, 2020, pp. 159–167.

Pflegerisches Konzept zur hilfreichen und unterstützenden Kommunikation mit onkologischen Patienten und Patientinnen (Projekt PuntKomm)
P. Raschper, S. Pietsch, S. Kröger, Pflegerisches Konzept Zur Hilfreichen Und Unterstützenden Kommunikation Mit Onkologischen Patienten Und Patientinnen (Projekt PuntKomm), Fachhochschule Bielefeld, 2020.

Der Toilettenstuhl - Hilfsmittel mit Risikopotenzial
P. Raschper, S. Stampa, R. von der Heyden, A. Nauerth, L.R. Vollrath, Lehren und Lernen im Gesundheitswesen (2020) 57–62.

Identifikation eines nichtlinearen dynamischen Mehrgrößensystems mit rekurrenten neuronalen Netzen im Vergleich zu lokal-affinen Zustandsraummodellen
S. Godt, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut (Eds.), Proceedings - 30. Workshop Computational Intelligence, KIT Scientific Publishing, Karlsruhe, 2020, pp. 159–180.

Learning With Virtual Reality in Nursing Education: Qualitative Interview Study Among Nursing Students Using the Unified Theory of Acceptance and Use of Technology Model
A.-K. Lange, J. Koch, A. Beck, T. Neugebauer, F. Watzema, K.J. Wrona, C. Dockweiler, JMIR Nursing 3 (2020).