@inproceedings{RadivoievychKolpGrebinyketal.2022, author = {Radivoievych, Aleksandar and Kolp, Benjamin and Grebinyk, Sergii and Prylutska, Svitlana and Ritter, Uwe and Zolk, Oliver and Gl{\"o}kler, J{\"o}rn and Frohme, Marcus and Grebinyk, Anna}, title = {Prestine C60 fullerene as a novel agent in sonodynamic treatment of cancer cells}, series = {FEBS Open Bio}, volume = {12}, booktitle = {FEBS Open Bio}, number = {Supplement 1}, publisher = {Wiley}, address = {Hoboken, NJ}, issn = {2211-5463}, doi = {10.1002/2211-5463.13440}, pages = {74 -- 74}, year = {2022}, language = {en} } @inproceedings{Demske2021, author = {Demske, Ulrike}, title = {Grenzen morphologischer Variation}, series = {Syntax aus Saarbr{\"u}cker Sicht 4: Beitr{\"a}ge der SaRDiS-Tagung zur Dialektsyntax (Zeitschrift f{\"u}r Dialektologie und Linguistik - Beihefte, Band 187)}, booktitle = {Syntax aus Saarbr{\"u}cker Sicht 4: Beitr{\"a}ge der SaRDiS-Tagung zur Dialektsyntax (Zeitschrift f{\"u}r Dialektologie und Linguistik - Beihefte, Band 187)}, publisher = {Steiner}, address = {Stuttgart}, isbn = {978-3-515-13103-2}, doi = {10.25162/9783515131049}, pages = {107 -- 126}, year = {2021}, language = {de} } @inproceedings{LindsayStelzlPietreketal.2022, author = {Lindsay, Richard J. and Stelzl, Lukas S. and Pietrek, Lisa and Hummer, Gerhard and Wigge, Philip Anthony and Hanson, Sonya M.}, title = {Helical region near poly-Q tract in prion-like domain of Arabidopsis ELF3 plays role in temperature-sensing mechanism}, series = {Biophysical journal}, volume = {121}, booktitle = {Biophysical journal}, number = {3}, publisher = {Cell Press}, address = {Cambridge, Mass.}, issn = {0006-3495}, doi = {10.1016/j.bpj.2021.11.964}, pages = {355A -- 356A}, year = {2022}, language = {en} } @inproceedings{HartmannKandilSteckhanetal.2022, author = {Hartmann, Anika M. and Kandil, Farid I. and Steckhan, Nico and H{\"a}upl, Thomas and Kessler, Christian S. and Michalsen, Andreas and Koppold-Liebscher, Daniela A.}, title = {Rheumatoid arthritis benefits from fasting and plant-based diet: an exploratory randomized controlled trial (NUTRIFAST)}, series = {Annals of the rheumatic diseases}, volume = {81}, booktitle = {Annals of the rheumatic diseases}, publisher = {BMJ Publishing Group}, address = {London}, issn = {0003-4967}, doi = {10.1136/annrheumdis-2022-eular.452}, pages = {558 -- 559}, year = {2022}, language = {en} } @inproceedings{MasanneckRaeuberGieseleretal.2022, author = {Masanneck, Lars and R{\"a}uber, S. and Gieseler, Pauline and Ruck, T. and Stern, Ariel Dora and Meuth, S. G. and Pawlitzki, M.}, title = {Geography and a changing technology landscape: analysing coverage of German multiple sclerosis care networks and digital health technology adoption in multiple sclerosis trials}, series = {Multiple sclerosis journal}, volume = {28}, booktitle = {Multiple sclerosis journal}, number = {Supplement 3}, publisher = {Sage}, address = {London}, issn = {1352-4585}, doi = {10.1177/13524585221123687}, pages = {492 -- 493}, year = {2022}, language = {en} } @inproceedings{GiessmannBender2024, author = {Gießmann, Nico and Bender, Benedict}, title = {Towards a unified framework for evaluating user satisfaction with mobile government apps}, series = {Electronic Government and the Information Systems Perspective : 13th International Conference, EGOVIS 2024, Naples, Italy, August 26-28, 2024, Proceedings}, booktitle = {Electronic Government and the Information Systems Perspective : 13th International Conference, EGOVIS 2024, Naples, Italy, August 26-28, 2024, Proceedings}, editor = {K{\"o}, Andrea and Kotsis, Gabriele and Tjoa, A. Min and Khalil, Ismail}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-68210-0}, doi = {10.1007/978-3-031-68211-7_10}, pages = {122 -- 129}, year = {2024}, abstract = {This study aims to bring together scattered research findings on user satisfaction with mobile government apps into a unified framework. The researchers analyzed 70 high-quality papers from leading journals and conferences and systematically integrated different frameworks and case studies to reflect the importance of the field over time while also highlighting methodological and geographical research gaps. The study achieved a significant methodological advance by developing codebooks for empirical analysis utilizing the App Store. This approach validated the framework's dimensions on 8,524 reviews, demonstrating the framework's applicability to platform-based apps and identifying critical areas for future research. Combining academic insights with practical findings, this research provides comprehensive guidance for developing and evaluating user-centered mobile government apps, facilitating improved service delivery and alignment with user expectations.}, language = {en} } @inproceedings{HiortHugoZeinertetal.2022, author = {Hiort, Pauline and Hugo, Julian and Zeinert, Justus and M{\"u}ller, Nataniel and Kashyap, Spoorthi and Rajapakse, Jagath C. and Azuaje, Francisco and Renard, Bernhard Y. and Baum, Katharina}, title = {DrDimont: explainable drug response prediction from differential analysis of multi-omics networks}, series = {Bioinformatics}, volume = {38}, booktitle = {Bioinformatics}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {1367-4803}, doi = {10.1093/bioinformatics/btac477}, pages = {ii113 -- ii119}, year = {2022}, abstract = {Motivation: While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide means to incorporate molecular interactions into reasoning. However, how to integrate the wealth of information contained in multiple omics layers still poses a complex problem. Results: We present DrDimont, Drug response prediction from Differential analysis of multi-omics networks. It allows for comparative conclusions between two conditions and translates them into differential drug response predictions. DrDimont focuses on molecular interactions. It establishes condition-specific networks from correlation within an omics layer that are then reduced and combined into heterogeneous, multi-omics molecular networks. A novel semi-local, path-based integration step ensures integrative conclusions. Differential predictions are derived from comparing the condition-specific integrated networks. DrDimont's predictions are explainable, i.e. molecular differences that are the source of high differential drug scores can be retrieved. We predict differential drug response in breast cancer using transcriptomics, proteomics, phosphosite and metabolomics measurements and contrast estrogen receptor positive and receptor negative patients. DrDimont performs better than drug prediction based on differential protein expression or PageRank when evaluating it on ground truth data from cancer cell lines. We find proteomic and phosphosite layers to carry most information for distinguishing drug response.}, language = {en} } @inproceedings{Grum2024, author = {Grum, Marcus}, title = {Managing multi-site artificial neural networks' activation rates and activation cycles}, series = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, booktitle = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, editor = {Shishkov, Boris}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-64072-8}, doi = {10.1007/978-3-031-64073-5_17}, pages = {258 -- 269}, year = {2024}, abstract = {Traditionally, business models and software designs used to model the usage of artificial intelligence (AI) at a very specific point in the process or rather fix implemented application. Since applications can be based on AI, such as networked artificial neural networks (ANN) on top of which applications are installed, these on-top applications can be instructed directly from their underlying ANN compartments [1]. However, with the integration of several AI-based systems, their coordination is a highly relevant target factor for the operation and improvement of networked processes, such as they can be found in cross-organizational production contexts spanning multiple distributed locations. This work aims to extend prior research on managing artificial knowledge transfers among interlinked AIs as coordination instrument by examining effects of different activation types (respective activation rates and cycles) on by ANN-instructed production machines. In a design-science-oriented way, this paper conceptualizes rhythmic state descriptions for dynamic systems and associated 14 experiment designs. Two experiments have been realized, analyzed and evaluated thereafter in regard with their activities and processes induced. Findings show that the simulator [2] used and experiments designed and realized, here, (I) enable research on ANN activation types, (II) illustrate ANN-based production networks disrupted by activation types and clarify the need for harmonizing them. Further, (III) management interventions are derived for harmonizing interlinked ANNs. This study establishes the importance of site-specific coordination mechanisms and novel forms of management interventions as drivers of efficient artificial knowledge transfer.}, language = {en} } @inproceedings{Grum2024, author = {Grum, Marcus}, title = {Researching multi-site artificial neural networks' activation rates and activation cycles}, series = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, booktitle = {Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1-3, 2024, proceedings}, editor = {Shishkov, Boris}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-64072-8}, doi = {10.1007/978-3-031-64073-5_12}, pages = {186 -- 206}, year = {2024}, abstract = {With the further development of more and more production machines into cyber-physical systems, and their greater integration with artificial intelligence (AI) techniques, the coordination of intelligent systems is a highly relevant target factor for the operation and improvement of networked processes, such as they can be found in cross-organizational production contexts spanning multiple distributed locations. This work aims to extend prior research on managing their artificial knowledge transfers as coordination instrument by examining effects of different activation types (respective activation rates and cycles) on by Artificial Neural Network (ANN)-instructed production machines. For this, it provides a new integration type of ANN-based cyber-physical production system as a tool to research artificial knowledge transfers: In a design-science-oriented way, a prototype of a simulation system is constructed as Open Source information system which will be used in on-building research to (I) enable research on ANN activation types in production networks, (II) illustrate ANN-based production networks disrupted by activation types and clarify the need for harmonizing them, and (III) demonstrate conceptual management interventions. This simulator shall establish the importance of site-specific coordination mechanisms and novel forms of management interventions as drivers of efficient artificial knowledge transfer.}, language = {en} } @inproceedings{SchulzeDoeschnerGoegeretal.2022, author = {Schulze, Kora and D{\"o}schner, Larissa and G{\"o}ger, Lea and Franz, K. and M{\"u}ller-Werdan, Ursula and Norman, Kristina and Herpich, Catrin}, title = {Kurzeitige vegane Intervention senkt Inflammationsmarker}, series = {Zeitschrift f{\"u}r Gerontologie und Geriatrie : Organ der Deutschen Gesellschaft f{\"u}r Gerontologie und Geriatrie}, volume = {55}, booktitle = {Zeitschrift f{\"u}r Gerontologie und Geriatrie : Organ der Deutschen Gesellschaft f{\"u}r Gerontologie und Geriatrie}, number = {Supplement 1}, publisher = {Springer Medizin}, address = {Heidelberg}, issn = {0948-6704}, doi = {10.1007/s00391-022-02095-7}, pages = {S83 -- S84}, year = {2022}, language = {de} }