Einkünftezurechnung bei sog. doppelter Treuhand
Demmler, Uwe (2023)
Steuerrecht aktuell 2023 (1), S. 145-148.
OpenDSU: digital sovereignty in PharmaLedger
Sammeth, Michael; Ursache, Nicu-Cosmin; Alboaie, Sînică (2023)
Frontiers in Blockchain 2023/6, 1126978.
DOI: 10.3389/fbloc.2023.1126978
Open Access Peer Reviewed
Introduction: Distributed ledger networks, chiefly those based on blockchain technologies, currently are heralding a next-generation of computer systems that aims to suit modern users’ demands. Over the recent years, several technologies for blockchains, off-chaining strategies, as well as decentralised and respectively self-sovereign identity systems have shot up so fast that standardisation of the protocols is lagging behind, severely hampering the interoperability of different approaches. Moreover, most of the currently available solutions for distributed ledgers focus on either home users or enterprise use case scenarios, failing to provide integrative solutions addressing the needs of both.
Methods: Herein, we introduce the OpenDSU platform that allows to interoperate generic blockchain technologies, organised–and possibly cascaded in a hierarchical fashion–in domains. To achieve this flexibility, we seamlessly integrated a set of well conceived components that orchestrate off-chain data and provide granularly resolved and cryptographically secure access levels, intrinsically nested with sovereign identities across the different domains. The source code and extensive documentation of all OpenDSU components described herein are publicly available under the MIT open-source licence at https://opendsu.com.
Results: Employing our platform to PharmaLedger, an inter-European network for the standardisation of data handling in the pharmaceutical industry and in healthcare, we demonstrate that OpenDSU can cope with generic demands of heterogeneous use cases in both, performance and handling substantially different business policies.
Discussion: Importantly, whereas available solutions commonly require a pre-defined and fixed set of components, no such vendor lock-in restrictions on the blockchain technology or identity system exist in OpenDSU, making systems built on it flexibly adaptable to new standards evolving in the future.
Die Rolle der Psyche in der Therapie: Placeboeffekte
Meißner, Karin (2023)
IMPULSTAGUNG 2.0 -PSYCHISCHE GESUNDHEIT SICHTBAR MACHEN, Klinische Abteilung für Psychiatrie und Psychotherapeutische Medizin, Universitätsklinikum Graz, 14.06.2023.
Placebo effects on nausea and motion sickness are resistant to experimentally-induced stress
Jacob, Carmen; Olliges, Elisabeth; Haile, A.; Hoffmann, Verena; Jacobi, Benjamin; Steinkopf, L.; Lanz, M.; Wittmann, M.; Tschöp, M. H.; Meißner, Karin (2023)
Jacob, Carmen; Olliges, Elisabeth; Haile, A.; Hoffmann, Verena; Jacobi, Benjamin...
Scientific Reports 13, 9908 (1).
DOI: 10.1038/s41598-023-36296-w
Open Access Peer Reviewed
Image Segmentation for Improved Lossless Screen Content Compression
Uddehal, Shabhrish; Strutz, Tilo; Och, Hannah; Kaup, André (2023)
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'23), 4-10 June 2023, Rhodes Island, Greece 2023.
Peer Reviewed
In recent years, it has been found that screen content images (SCI) can be effectively compressed based on appropriate probability modelling and suitable entropy coding methods such as arithmetic coding. The key objective is determining the best probability distribution for each pixel position. This strategy works particularly well for images with synthetic (textual) content. However, usually screen content images not only consist of synthetic but also pictorial (natural) regions. These images require diverse models of probability distributions to be optimally compressed. One way to achieve this goal is to separate synthetic and natural regions. This paper proposes a segmentation method that identifies natural regions enabling better adaptive treatment. It supplements a compression method known as Soft Context Formation (SCF) and operates as a pre-processing step. If at least one natural segment is found within the SCI, it is split into two subimages (natural and synthetic parts) and the process of modelling and coding is performed separately for both. For SCIs with natural regions, the proposed method achieves a bit-rate reduction of up to 11.6% and 1.52% with respect to HEVC and the previous version of the SCF.
Gesundheitsförderung und Prävention durch Gesundheitscoaches in der Routineversorgung – eine qualitative Interviewstudie mit Ärztinnen und Ärzten
Waibl, Paula; Rothenhäusler, Lena; Nöfer, Eberhard; Meißner, Karin (2023)
Prävention und Gesundheitsförderung 19, S. 250–258 .
DOI: 10.1007/s11553-023-01047-2
Open Access Peer Reviewed
Führung als Schutzschild: Wie Führungskräfte spezialisierter Polizeieinheiten innere Belastbarkeit und mentale Stabilität fördern. (pp. ).
Jäger, Tamara; Kohls, Niko (2023)
In M. S. Staller, B. Zaiser, & S. Koerner (Eds.), Handbuch Polizeipsychologie: Wissenschaftliche Perspektiven und praktische Anwendungen., S. 189-208.
DOI: 10.1007/978-3-658-40118-4_10
Peer Reviewed
High Performance Under Pressure.
Jäger, Tamara; Kohls, Niko (2023)
In: S. Staller, M., Zaiser, B., Koerner, S. (eds) Handbuch Polizeipsychologie. .
DOI: 10.1007/978-3-658-40118-4_17
Peer Reviewed
Stiftung der deutschen Wirtschaft, Mentorenprogramm
Zagel, Christian (2023)
Riskanter Heizungstausch
Schaub, Michael (2023)
Berliner Zeitung 125 (Freitag, 02. Juni 2023), S. 2.
Open Access
Wieviel Präsenz oder Distanz beim Lehren und Lernen? Embodiment als Bezugsrahmen für ganzheitliche Bildung
Heinrich, Michael; Kohls, Niko (2023)
Bewusstseinswissenschaften. Transpersonale Psychologie und Psychotherapie, 2/2023. Ed.: Liane Hofmann. Petersberg: Vianova Verlag. 2023 / 2.
Peer Reviewed
Gesundheitsökonomische Bewertung einer open-label Placebo Intervention bei funktionellem Post-COVID Syndrom: Studienprotokoll
Hamberger, Jens; Hinterberger, T.; Loew, T.; Meißner, Karin; Beschoner, Petra; Roder, Eva; Weimer, K. (2023)
Hamberger, Jens; Hinterberger, T.; Loew, T.; Meißner, Karin; Beschoner, Petra...
ePoster, Deutscher Kongress für Psychosomatische Medizin und Psychotherapie (DKPM), 22-24.06.2022, Berlin.
Peer Reviewed
Exploring pain, quality of life, and emotional well-being in patients with advanced pancreatic cancer practicing spiritual meditation - a pilot study
Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar; Meißner, Karin (2023)
Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar...
Complementary Medicine Research.
DOI: 10.1159/000529865
Peer Reviewed
Weiterbildung in Sozialtherapie ... Qualifzierungsweg mit Zukunft?! Zum Bedarf sozialtherapeutischer Weiterbildungsangebote aus Sicht von Studierenden und Fachkräften der Klinischen Sozialarbeit
Deloie, Dario; Kröger, Christine (2023)
Klinische Sozialarbeit. Zeitschrift für psychosoziale Praxis und Forschung 2023/19 (1), S. 9-12.
Peer Reviewed
Propan-Wärmepumpen als Gamechanger für die Wärmewende im Bestand
Schaub, Michael (2023)
TGA-Kongress, 23.-24.05.2023 in Berlin .
DOI: 10.13140/RG.2.2.17962.80328
Open Access
Behandlung von Post-/Long-COVID mit TCM - eine Querschnittsbefragung von TCM-Ärzt:innen
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina; Ziegler, Birgit; Meißner, Karin (2023)
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina...
Posterpräsentation auf dem Wissenschaftstag des 54. TCM Kongresses Rothenburg o.d.T..
Open Access Peer Reviewed
Gratitude mediates quality of life differences between fibromyalgia patients and healthy controls
Touissant, L.; Sirios , F. ; Hirsch, J. K.; Weber, Annemarie; Schelling, J.; Kohls, Niko; Offenbächer, M. (2023)
Touissant, L.; Sirios , F. ; Hirsch, J. K.; Weber, Annemarie; Schelling, J....
Quality of Life Research, 26(9), 2449-2457. doi:10.1007/s11136-017-1604-7.
DOI: https://doi.org.10.1007/s11136-017-1604-7
Peer Reviewed
Federated vs local vs central deep learning of tooth segmentation on panoramic radiographs
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha; Mohammad-Rahimi, Hossein; Chaurasia, Akhilanand; Pereira, Nielsen S.; Lee, Jae-Hong; Uribe, Sergio E.; Shahab, Shahriar; Koca-Ünsal, Revan B.; Ünsal, Gürkan; Martinez-Beneyto, Yolanda; Brinz, Janet; Tryfonos, Olga; Schwendicke, Falk (2023)
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha...
Journal of Dental Research 2023/135, 104556.
DOI: 10.1016/j.jdent.2023.104556
Peer Reviewed
Objective
Federated Learning (FL) enables collaborative training of artificial intelligence (AI) models from multiple data sources without directly sharing data. Due to the large amount of sensitive data in dentistry, FL may be particularly relevant for oral and dental research and applications. This study, for the first time, employed FL for a dental task, automated tooth segmentation on panoramic radiographs.
Methods
We employed a dataset of 4,177 panoramic radiographs collected from nine different centers (n = 143 to n = 1881 per center) across the globe and used FL to train a machine learning model for tooth segmentation. FL performance was compared against Local Learning (LL), i.e., training models on isolated data from each center (assuming data sharing not to be an option). Further, the performance gap to Central Learning (CL), i.e., training on centrally pooled data (based on data sharing agreements) was quantified. Generalizability of models was evaluated on a pooled test dataset from all centers.
Results
For 8 out of 9 centers, FL outperformed LL with statistical significance (p<0.05); only the center providing the largest amount of data FL did not have such an advantage. For generalizability, FL outperformed LL across all centers. CL surpassed both FL and LL for performance and generalizability.
Conclusion
If data pooling (for CL) is not feasible, FL is shown to be a useful alternative to train performant and, more importantly, generalizable deep learning models in dentistry, where data protection barriers are high.
Clinical Significance
This study proves the validity and utility of FL in the field of dentistry, which encourages researchers to adopt this method to improve the generalizability of dental AI models and ease their transition to the clinical environment.
Unterstützungskassen
Demmler, Uwe; Stöckler, Manfred (2023)
Steuerrecht der betrieblichen Altersversorgung mit arbeitsrechtlichen Grundlagen Lfg. 51 / Mai 2023 / Band I / Teil 3, S. 1-194.
Relationship between hope, confidence, and anxiety and the success of infertility treatment with IVF-Naturelle® - a prospective cohort study
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen; Meißner, Karin (2023)
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen...
Oral presentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies, Duisburg, Germany.
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