TY - BOOK A1 - Mitsch, Wolfgang A1 - Ellbogen, Klaus T1 - Fälle zum Strafprozessrecht T3 - Klausurenkurs Juristische Übungsbücher N2 - Das Werk bietet eine umfassende Fallsammlung zum Strafprozessrecht. Dabei werden jeder Falllösung eine umfassende gutachterliche Vorüberlegung sowie eine Lösungsgliederung vorangestellt. Die eigentliche ausführliche Lösung enthält zusätzlich Klausurtipps und Vertiefungshinweise. Y1 - 2024 SN - 978-3-8006-7003-1 PB - Verlag Franz Vahlen CY - München ET - 3. neu bearbeitete Auflage ER - TY - JOUR A1 - Steinrötter, Björn A1 - Markert, Jette T1 - Lokalisierung des Erfolgsorts bei Vermögensdelikten („Vereniging van Effectenbezitters/BP plc“) BT - Anmerkung zu: EuGH 1. Kammer, Urteil vom 12.05.2021 - C-709/19 JF - Juris-PraxisReport Y1 - 2022 UR - https://www.juris.de/r3/document/jpr-NLIW000000222 SN - 2364-4702 IS - 1 PB - Juris GmbH CY - Saarbrücken ER - TY - RPRT A1 - Siedler, Thomas A1 - Anger, Silke A1 - Christoph, Bernhard A1 - Galkiewicz, Agata Danuta A1 - Margaryan, Shushanik A1 - Peter, Frauke A1 - Sandner, Malte T1 - War, international spillovers, and adolescents BT - evidence from Russia’s invasion of Ukraine in 2022 T2 - Discussion paper series N2 - Using novel longitudinal data, this paper studies the short- and medium-term effects of Russia's invasion of Ukraine on February 24, 2022 on social trust of adolescents in Germany. Comparing adolescents who responded to our survey shortly before the start of the war with those who responded shortly after the conflict began and applying difference-in-differences (DiD) models over time, we find a significant decline in the outcome after the war started. These findings provide new evidence on how armed conflicts influence social trust and well-being among young people in a country not directly involved in the war. KW - war KW - trust KW - social capital KW - Russia’s invasion of Ukraine Y1 - 2024 UR - https://www.iza.org/publications/dp/16921/war-international-spillovers-and-adolescents-evidence-from-russias-invasion-of-ukraine-in-2022 SN - 2365-9793 VL - 16921 PB - IZA CY - Bonn ER - TY - CHAP A1 - Liese, Andrea ED - Orchard, Phil ED - Wiener, Antje T1 - Norm research on conflictive norm relations how norms collide in times of complexity, contestation, and crisis T2 - Contesting the world Y1 - 2024 SN - 978-1-00-947917-2 SN - 978-1-009-47916-5 SN - 978-1-009-47914-1 SP - 64 EP - 84 PB - Cambridge University Press CY - Cambridge ER - TY - CHAP A1 - Grum, Marcus ED - Shishkov, Boris T1 - Researching multi-site artificial neural networks’ activation rates and activation cycles T2 - Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1–3, 2024, proceedings N2 - 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. Y1 - 2024 SN - 978-3-031-64072-8 SN - 978-3-031-64073-5 U6 - https://doi.org/10.1007/978-3-031-64073-5_12 SP - 186 EP - 206 PB - Springer CY - Cham ER - TY - CHAP A1 - Grum, Marcus ED - Shishkov, Boris T1 - Managing multi-site artificial neural networks’ activation rates and activation cycles T2 - Business modeling and software design : 14th International Symposium, BMSD 2024, Luxembourg City, Luxembourg, July 1–3, 2024, proceedings N2 - 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. Y1 - 2024 SN - 978-3-031-64072-8 SN - 978-3-031-64073-5 U6 - https://doi.org/10.1007/978-3-031-64073-5_17 SP - 258 EP - 269 PB - Springer CY - Cham ER -