Anastrozole has an Association between Degree of Estrogen Suppression and Outcomes in Early Breast Cancer and is a Ligand for Estrogen Receptor α
Ingle, James N.; Cairns, Junmei; Suman, Vera; Shepherd , Lois E.; Fasching, Peter A.; Hoskin, Tanya L.; Singh, Ravinder J.; Zeruesenay, Desta; Kalari, Krishna R.; Ellis, Matthew J.; Goss, Paul E.; Chen, Bingshu E.; Volz, Bernhard; Barman, Poulami; Carlson, Erin E.; Haddad, Tufia; Goetz, Matthew P.; Goodnature, Barbara; Cuellar, Matthew; Walters, Michael A.; Correia, Cristina (2020)
Ingle, James N.; Cairns, Junmei; Suman, Vera; Shepherd , Lois E.; Fasching, Peter A....
Clinical Cancer Research 26 (12), 2986-2996.
Open Access Peer Reviewed
Connected Guest Experience: Using Experience Design to increase the Length of Overnight Stays in Regional Tourism
Durst, Carolin; Kätzel, Charlotte (2020)
Business Meets Technology 2. Proceedings of the 2nd International Conference of the University of Applied Sciences Ansbach, Shaker Verlag, Düren, 111-114.
Heregulin (HRG) assessment for clinical trial eligibility testing in a molecular registry (PRAEGNANT) in Germany
Huebner, Hanna; Kurbacher, Christian M.; Kuesters , Geoffrey; Hartkopf, Andreas D.; Lux, Michael P.; Huober, Jens; Volz, Bernhard; Taran, Florin-Andrei; Overkamp, Friedrich; Tesch, Hans; Häberle, Lothar; Lüftner, Diana; Wallwiener, Markus; Müller, Volkmar; Beckmann, Matthias W.; Belleville, Erik; Ruebner, Matthias; Untch, Michael; Fasching, Peter A.; Janni, Wolfgang; Fehm, Tanja N.; Kolberg, Hans-Christian; Wallwiener, Diethelm; Brucker, Sara Y.; Schneeweiss, Andreas; Ettl, Johannes (2020)
Huebner, Hanna; Kurbacher, Christian M.; Kuesters , Geoffrey; Hartkopf, Andreas D....
BMC Cancer 20 (1091).
Open Access Peer Reviewed
Development of an activity theory-based framework for the analysis and design of socio-technical systems
Durst, Carolin; Wiser, Fabian; Luber, Sebastian; Wickramasinghe, Nilmini (2020)
International Journal of Networking and Virtual Organisations 23 (3), 261-293.
DOI: 10.1504/IJNVO.2020.10029277
Peer Reviewed
The design of socio-technical systems is a challenging task due to diverse stakeholders and complex processes that have to be mapped into software. Following a socio-technical approach for information system analysis and design results in more user-friendly systems accompanying various benefits for associated stakeholders. However, there is a lack of theories and methods which consider technical, social and organisational factors. Researchers recommended activity theory as a rich framework to study socio-technical systems. While the benefits trigger increased use of activity theory, there seems to be a shared heritage of disadvantages linked to its nature and hence its application. This article introduces a novel conceptual activity theory framework to resolve these problems and evaluates it within a case study in the context of innovation management. For the development of the framework a design science research methodology approach is followed.
Auf dem Weg zu einem barrierefreien digitalen Leitsystem
Paul, Markus; Zöller, Dunja (2020)
Zeitschrift für Inklusion 1 (4).
Open Access
State of the Art in Fingerprint Presentation Attack Detection
Gomez-Barrero, Marta (2020)
Business Meets Technology 2. Proceedings of the 2nd International Conference of the University of Applied Sciences Ansbach, Shaker Verlag, Düren, 64-67.
Efficiency Analysis of Post-quantum-secure Face Template Protection Schemes based on Homomorphic Encryption
Kolberg, Jascha; Drozdowski, Pawel; Gomez-Barrero, Marta; Rathgeb, Christian; Busch, Christoph (2020)
Kolberg, Jascha; Drozdowski, Pawel; Gomez-Barrero, Marta; Rathgeb, Christian...
BIOSIG 2020. Proceedings of the 19th International Conference of the Biometrics Special Interest Group. Gesellschaft für Informatik e.V., Bonn, 175 -182.
Open Access
Morphing Attack Detection - Database, Evaluation Platform and Benchmarking
Raja, Kiran; Ferrara, Matteo; Franco, Annalisa; Spreeuwers, Luuk; Batskos, Ilias; de Wit, Florens; Gomez-Barrero, Marta; Scherhag, Ulrich; Fischer, Daniel; Venkatesh, Sushma; Singh, Jag Mohan; Guoqiang, Li; Bergeron, Lo ̈ıc ; Isadskiy, Sergey; Ramachandra, Raghavendra; Rathgeb, Christian; Frings, Dinusha; Seidel, Uwe; Knopjes, Fons; Veldhuis, Raymond; Maltoni, Davide; Busch, Christoph (2020)
Raja, Kiran; Ferrara, Matteo; Franco, Annalisa; Spreeuwers, Luuk; Batskos, Ilias...
IEEE Transactions on Information Forensics and Security, 1-21.
Open Access Peer Reviewed
An Efficient Super-Resolution Single Image Network using Sharpness Loss Metrics for Iris
Tapian, Juan; Gomez-Barrero, Marta; Busch, Christoph (2020)
2020 IEEE International Workshop on Information Forensics and Security (WIFS). New York, USA, 1-6.
DOI: 10.1109/WIFS49906.2020.9360886
Circular Economy
Garg, Ritam (2020)
In: Somani, S.K., Ali, M., Pathak, R., and Sahu, N. (eds) Innovation for Sustainability in Engineering and Management, 1-26.
Therapy Landscape in Patients with Metastatic HER2-Positive Breast Cancer: Data from the PRAEGNANT Real-World Breast Cancer Registry
Lux, Michael P.; Nabieva, Naiba; Hartkopf, Andreas D.; Huober, Jens; Volz, Bernhard; Taran, Florin-Andrei; et al., ..; Brucker, Sara Y. (2019)
Lux, Michael P.; Nabieva, Naiba; Hartkopf, Andreas D.; Huober, Jens; Volz, Bernhard...
Cancers 2019 11 (1), 10.
DOI: 10.3390/cancers11010010
Open Access
Der Analytics-Marktplatz
Lanquillon, Carsten; Schacht, Sigurd (2019)
Blockchain und maschinelles Lernen. Wie das maschinelle Lernen und die Distributed Ledger Technologie voneinander profitieren. 1. Auflage, Springer Vieweg Verlag Berlin, Heidelberg, 167-193.
DOI: 10.1007/978-3-662-60408-3
Open Access Peer Reviewed
Die Schreibkompetenz von Studierenden mit digitalen Medien fördern
Gerner, Verena; Vode, Dzifa (2019)
Didaktik-Nachrichten (6), 2-12.
Open Access
Low Code: Turbo für den Entwicklungsprozess. Zusammengesteckt
Knüpffer, Wolf (2019)
iX - Magazin für professionelle Informationstechnik (8), 76-81.
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Menden, Michael P.; Wang, Dennis; Mason, Mike; et al, ...; Sauer, Sebastian; et al, . (2019)
Menden, Michael P.; Wang, Dennis; Mason, Mike; et al, ...; Sauer, Sebastian...
Nature Communications 10, 2674.
DOI: 10.1038/s41467-019-09799-2
Open Access
Big Data im Innovationsmanagement: Wie Machine Learning die Suche nach Trends und Technologien revolutioniert
Kölbl, Laura; Mühlroth, Christian; Wiser, Fabian; Grottke, Michael; Durst, Carolin (2019)
HMD Praxis der Wirtschaftsinformatik (56), 900-913.
DOI: 10.1365/s40702-019-00528-3
Open Access Peer Reviewed
Innovationsmanagement ist für Unternehmen in der heutigen Zeit ein wichtiges Instrument, um in sich schnell wandelnden Märkten konkurrenzfähig und erfolgreich zu bleiben. Dafür stehen in der heutigen Zeit große Mengen an Daten zur Verfügung, aus denen die relevanten Informationen jedoch zunächst herausgefiltert werden müssen. Dieser Beitrag präsentiert die Ergebnisse einer Studie zu den Herausforderungen an ein erfolgreiches Innovationsmanagement in Unternehmen und stellt ein Umfeldscanningsystem vor, das die Effizienz von Innovationsmanagement mithilfe von Big Data Analytics steigert. Durch die Anwendung von modernen Verfahren des maschinellen Lernens und mathematischen Algorithmen kann dieses in hohem Maße automatisiert werden. In der anschließenden Fallstudie wird anhand von zwei Datensätzen gezeigt, wie mithilfe des Umfeldscanningsystems aktuelle Trends gefunden werden können. Zum Schluss wird das datenbasierte Umfeldscanningsystem als Chance für kleine und mittlere Unternehmen und als Lösung für die im Vorfeld erkannten Herausforderungen diskutiert.
Hybrider Ansatz zur automatisierten Themen-Klassifizierung von Produktrezensionen
Götz, René; Piazza, Alexander; Bodendorf, Freimut (2019)
HMD Praxis der Wirtschaftsinformatik 56 (5), 932-946.
DOI: 10.1365/s40702-019-00521-w
Open Access Peer Reviewed
In e‑commerce, enormous amounts of data are generated through the interaction of customers with Web platforms. Customer feedback in the form of product reviews, for instance, is an example for unstructured data, which processing requires approaches from the fields of computer linguistics and machine learning. As an alternative to the classical approaches of supervised and unsupervised learning, which often reach their limits in the business context and the application domain of product reviews, this article presents a hybrid approach for categorizing product reviews that combines the advantages of machine learning and human expertise. The aim of this paper is to present an approach that allows to automatically extract structured topics and related aspects from product reviews based on practical requirements. Word2Vec is used to train semantic relationships between words that occur in product reviews. In this way, individual words of each review can be compared with in advance defined topic words regarding their similarity and can then be extracted from the reviews. This approach is demonstrated using around five million product reviews of the Amazon online platform. The results are getting compared with those from a common topic modelling technique.
Prognostic effect of Ki-67 in common clinical subgroups of patients with HER2-negative, hormone receptor-positive early breast cancer
Fasching, Peter A.; Gass, Paul; Häberle, Lothar; Volz, Bernhard; Hein, Alexander; Hack, C.; et al., ..; Erber, Ramona (2019)
Fasching, Peter A.; Gass, Paul; Häberle, Lothar; Volz, Bernhard; Hein, Alexander...
Breast Cancer Research and Treatment 175, 617-625.
DOI: 10.1007/s10549-019-05198-9
Open Access
Can the unemployed be trained to care for the elderly? The effects of subsidized training in elderly care
Dauth, Christine M.; Lang, Julia (2019)
Health Economics 4 (28), 543-555.
DOI: 10.1002/hec.3863
Open Access Peer Reviewed
Demographic change has increased the need for elderly care. Training unemployed workers might be one way to increase the supply of elderly care nurses. This study analyzes the effectiveness of subsidized training for unemployed individuals in the elderly care professions in Germany over 11.5 years. We find that short further training and long retraining courses significantly increase workers' long-term employment. As approximately 25% to 50% of trained nurses have permanent jobs in the care sector, we estimate that approximately 5% of all employed nurses are formerly trained unemployed workers.
Efficacy of neoadjuvant pertuzumab in addition to chemotherapy and trastuzumab in routine clinical treatment of patients with primary breast cancer: a multicentric analysis
Fasching, Peter A.; Hartkopf, Andreas D.; Gass, Paul; Häberle, Lothar; Akpolat-Basci, Leyla; Hein, Alexander; Volz, Bernhard; et al., ..; Kolberg, Hans-Christian (2019)
Fasching, Peter A.; Hartkopf, Andreas D.; Gass, Paul; Häberle, Lothar...
Breast Cancer Research and Treatment 173 (2), 319-328.
DOI: 10.1007/s10549-018-5008-3
Open Access
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