Die hannIT AöR (Hannoversche Informationstechnologien – Anstalt öffentlichen Rechts) ist der IT-Dienstleister der Region Hannover und ca. 30 weiterer Landkreise und Kommunen in Niedersachsen. Das Sicherheitsrechenzentrum mit verteilten Standorten bildet die systemtechnische Grundlage für den Betrieb und die Weiterentwicklung von Verwaltungsverfahren.

Das Kompetenzcenter Mobilität und GIS betreut Verkehrsinformations- und Planungssysteme, wie die elektronische Fahrplanauskunft oder die Netzverfügbarkeitskarte. Zum Leistungsangebot der hannIT AöR gehören unter anderem

• die elektronische Fahrplanauskunft in Niedersachsen und Bremen (EFA) u.a. für GVH (Großraum Verkehr Hannover) und Braunschweig ,
• der Betrieb des DELFI-Landesserver für Niedersachsen,
• die Echtzeitanbindung der ÖPNV-Unternehmen im GVH
• das multimodale Routing (ÖPNV, Auto, Fahrrad, Fußgänger …)

Darüber hinaus ist hannIT als Dienstleister maßgeblich an Projekten wie

• Connect GmbH (Datenintegration für Niedersachsen und Bremen),
• DELFI e.V. (Deutschlandweite Fahrplanauskunft),
• EU-Spirit (Verbund europäischer Auskunftssysteme)

beteiligt.

Im Projekt D4UM stellt hannIT AöR

• die Plattform (Hard- und Software) zur Verfügung,
• koordiniert die Bereitstellung von SW-Lösungen,
• arbeitet bei den Datenschutz- und Sicherheitsregeln mit
• schafft die Grundlagen für die Integration von IV-Echtzeitdaten und historischen Ganglinen in die Fahrplanauskunft EFA (Prototype)

• LLaSA: Large Language and Structured Data Assistant. Xu, Yao; He, Shizhu; Chen, Jiabei; ZengXiangrong, ZengXiangrong; Wang, Bingning; Liu, Guang; Zhao, Jun; Liu, Kang L. Chiruzzo, A. Ritter, L. Wang (eds.) (2025). 1935–1946.
• LOS MEJORES CARROS EN COLOMBIA EN JULIO de 2025. de 2025, LOS MEJORES CARROS EN COLOMBIA EN JULIO (L. M. C. E. C. E. J. de 2025, ed.) (2025).

  LOS MEJORES CARROS EN COLOMBIA EN JULIO de 2025 FIAT Bogotá https://fiat.massymotors.co/fiat-pulse JEEP BOGOTA https://lp-jeep.massymotors.co/lp-jeep-avenger-gads/ RAM https://lp-ram.massymotors.co/lp-ram-1500-gads/ PEUGEOT BOGOTA https://lp-peugeot.massymotors.co/lp-peugeot-2008-gads/ KIA LP CALI https://lp-cali.massymotorskia.com/kia-picanto/ MAZDA CALI https://massymotors.mazkomazda.com/taller/ MERCEDES CALI https://mercedes.massymotorspremium.com/amg_gads/ PEUGEOT LP COSTA https://peugeot-costa.massymotorscosta.com/lp-peugeot-gads/#cotizar FIAT COSTA https://fiat-costa.massymotorscosta.com/lp/fiat-fb/ JEEP COSTA https://jeep-costa.massymotorscosta.com/lp-jeep-gads/ OPEL https://opel-costa.massymotorscosta.com/lps/ RAM COSTA https://ram-costa.massymotorscosta.com/lp-ram-gads/ VOLVO COSTA https://volvo-costa.massymotorscosta.com/ec40-gads/ MAZDA LP MEDELLIN https://mazda.automontana.com/mazda-3-gads/ VOLKSWAGEN MEDELLIN https://volkswagen.germaniamotors.com/razones-elegir-volkswagen-saveiro/ VOLVO XC-90 https://volvo.autolux.com.co/razones-para-elegir-el-volvo-ex30/
• Semantic and Channel-Aware Processing and Transmission for Aerial Imagery. Li, Lingzhi; Mao, Yuyi; Liu, Juan; Xie, Lingfu; Qu, Long (2025). 1–6.
• Concurrent Planning and Execution in Lifelong Multi-Agent Path Finding with Delay Probabilities. Zhang, Yue; Chen, Zhe; Harabor, Daniel; Bodic, Pierre Le; Stuckey, Peter J. T. Walsh, J. Shah, Z. Kolter (eds.) (2025). 23387–23394.
• Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition. Wang, Changwei; Chen, Shunpeng; Song, Yukun; Xu, Rongtao; Zhang, Zherui; Zhang, Jiguang; Yang, Haoran; Zhang, Yu; Fu, Kexue; Du, Shide; Xu, Zhiwei; Gao, Longxiang; Guo, Li; Xu, Shibiao T. Walsh, J. Shah, Z. Kolter (eds.) (2025). 7536–7544.
• MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation. Yang, Zhiwei; Meng, Yucong; Fu, Kexue; Wang, Shuo; Song, Zhijian T. Walsh, J. Shah, Z. Kolter (eds.) (2025). 9400–9408.
• Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization. Du, Liang; Jiang, Henghui; Li, Xiaodong; Guo, Yiqing; Chen, Yan; Li, Feijiang; Zhou, Peng; Qian, Yuhua T. Walsh, J. Shah, Z. Kolter (eds.) (2025). 16381–16388.
• Cooperative Multi-Modal Semantic Communication Scheme for Semantic Segmentation in Autonomous Driving Systems. Feng, Yunqi; Shen, Hesheng; Shi, Xiufang; Yang, Qianqian (2025). 1–5.
• DISCRETION: First Field Demonstration of a Quantum Enabled SDN in the Context of a Military Exercise. Bastos, Catarina; Pinto, Francisco; Bacar, Rodrigo; Anjos, Gustavo; Almeida, Margarida; Pinto, Armando Nolasco; Chaves, Ricardo; Dias, Tiago; Afonso, Joana; Calé, Rui; Freitas, Miguel; Maia, Luis; Magalhães, Luis; Muñiz, Alejandro; Cantó, Rafael; Brito, Juan Pedro; Ballesta, Jesus; Méndez, Rubén B.; Laschet, Stephan; Ramacher, Sebastian; James, Paul; Torresetti, Luca; Piscione, Pietro; Abdulwahed, Ahmed K.; Giardina, Pietro G.; Martín, Vicente; Ortíz, Laura; Pastor, Antonio; Muga, Nelson J.; Silva, Nuno A.; López, Diego R.; Vieira, Margarida; Escribano, Carmen; Mengal, Luis (2025). 1–8.
• Reducing Income Variability in Natural Resource Portfolios via Integer Programming. Greenstreet, Laura; Shi, Qinru; Grimson, Marc; Simon, Franz W.; Sethi, Suresh Andrew; Gomes, Carla P.; Lodi, Andrea; Shmoys, David B. in Lecture Notes in Computer Science, G. Tack (ed.) (2025). (Vol. 15763) 18–34.
• Collision-Aware MPCC Integrated with Neural Augmentation for Quadrotor Trajectory Tracking. Hu, Chuanqi; Wang, Jin; Chen, Yikai; Chen, Yonghang; Zheng, Zhi; Meng, Jun; Lu, Guodong (2025). 1–6.
• RevTogether: Supporting Science Story Revision with Multiple AI Agents. Zhang, Yu; Fu, Kexue; Lu, Zhicong N. Yamashita, V. Evers, K. Yatani, S. X. Ding (eds.) (2025). 462:1–462:7.
• Drowsiness and Fatigue Recognition Systems for Connected Vehicles, 6G and the EU AI Act. Ferreira, Ana; Özparlak, Basak Ozan; Aden, Hartmut; Symeonidis, Iraklis; ÇetIn, Müge; Kanaki, Eirini; Chatzimisios, Periklis (2025). 428–433.
• "Becoming My Own Audience": How Dancers React to Avatars Unlike Themselves in Motion Capture-Supported Live Improvisational Performance. Zhang, Fan; Li, Molin; Chang, Xiaoyu; Fu, Kexue; Allen, Richard William; LC, Ray N. Yamashita, V. Evers, K. Yatani, S. X. Ding, B. Lee, M. Chetty, P. O. T. Dugas (eds.) (2025). 1057:1–1057:24.
• Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models. Liang, Yuchen; Fang, Xiangzhong; Chen, Hanting; Wang, Yunhe (2025).
• Non-equilibrium anti-Stokes Raman spectroscopy for investigating Higgs modes in superconductors. Glier, Tomke E.; Tian, Sida; Rerrer, Mika; Westphal, Lea; Lüllau, Garret; Feng, Liwen; Dolgner, Jakob; Haenel, Rafael; Zonno, Marta; Eisaki, Hiroshi; Greven, Martin; Damascelli, Andrea; Kaiser, Stefan; Manske, Dirk; Rübhausen, Michael (2025). 16(1) 7027.

  Even before its role in electroweak symmetry breaking, the Anderson-Higgs mechanism was introduced to explain the Meissner effect in superconductors. Spontaneous symmetry-breaking yields massless phase modes representing the low-energy excitations of the Mexican-Hat potential. Only in superconductors the phase mode is shifted towards higher energies owing to the gauge field of the charged condensate. This results in a low-energy excitation spectrum governed by the Higgs mode. Consequently, the Bardeen-Cooper-Schrieffer-like Meissner effect signifies a macroscopic quantum condensate in which a photon acquires mass, representing a one-to-one analogy to high-energy physics. We report on an innovative spectroscopic technique to study symmetries and energies of the Higgs modes in the high-temperature superconductor Bi2Sr2CaCu2O8 after a soft quench of the Mexican-Hat potential. Population inversion induced by an initial laser pulse leads to an additional anti-Stokes Raman-scattering signal, which is consistent with polarization-dependent Higgs modes. Within Ginzburg-Landau theory, the Higgs-mode energy is connected to the Cooper-pair coherence length. Within a Bardeen-Cooper-Schrieffer weak-coupling model we develop a quantitative and coherent description of single-particle and two-particle channels. This opens the avenue for Higgs Spectroscopy in quantum condensates and provides a unique pathway to control and explore Higgs physics.
• Sentiment Patterns in YouTube Comments: A Comprehensive Analysis. Shetty, Savitha; Shetty, Saritha; B, Priya Kamath; Shetty, Deepthi (2025). 10(3) 157–172.

  Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2–3), 87–105.] community of inquiry (CoI) framework has generated substantial interest among online learning researchers. This literature review examines recent research pertaining to the overall framework as well as to specific studies on social, teaching, and cognitive presence. We then use the findings from this literature to identify potential future directions for research. Some of these research directions include the need for more quantitatively-oriented studies, the need for more cross-disciplinary studies, and the opportunities for identifying factors that moderate and/or extend the relationship between the framework's components and online course outcomes.
• July 2025 - Top 10 Read Articles in International Journal of Database Management Systems (IJDMS). ijdms (2025).

  The International Journal of Database Management Systems (IJDMS) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the database management systems & its applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern developments in this field, and establishing new collaborations in these areas.
• Stability of the Atlantic meridional overturning circulation inferred by subsidence-corrected sea level change. Boretti, Alberto (2025). 156(8) 434.

  The Atlantic Meridional Overturning Circulation (AMOC) is a crucial component of the global climate system, responsible for regulating heat distribution and carbon sequestration. The stability of the AMOC is a subject of intense scientific debate, with some studies suggesting an impending collapse due to anthropogenic climate change, while others argue for its resilience and stability based on different proxies. This study highlights how sea level differences, corrected for subsidence, provide a robust and simple proxy for AMOC stability. A comparison of tide gauge data from The Battery, New York, and Brest, France, corrected for land subsidence using GPS measurements, reveals a negligible difference in absolute sea level rise between these locations, reinforcing the stability of the AMOC within the period 1960 to 2024. These findings challenge claims of AMOC weakening and emphasize the necessity of accurate corrections for subsidence in sea level analyses. Future research should focus on refining observational methods and integrating multiple proxies to enhance the understanding of AMOC dynamics and its role in climate change.
• Atmospheric and oceanic energy transport during North Atlantic freshening events: influences of moisture transport and hydrologic cycle feedbacks. Baek, Seung H.; Lora, Juan M.; Skinner, Christopher B.; Fu, Minmin; Zhu, Jiang (2025). 63(8) 301.

  Analogs of present-day rapid ice melt can be found in episodic discharges of icebergs that occurred during glacial periods called Heinrich events. This introduces excess meltwater into the North Atlantic and weakens the Atlantic thermohaline circulation (AMOC), triggering a hydrologic cycle--AMOC collapse feedback as the atmospheric energy transport compensates for reduced northward heat transport. Here we employ a novel series of 100-year North Atlantic ``hosing'' simulations to investigate atmospheric and oceanic energy transport response from freshwater forcing, focusing in particular on the role of atmospheric rivers (ARs) within atmospheric energy transport. Importantly, we use an ``overwriting'' methodology that allow us to attribute AMOC weakening to added North Atlantic meltwater and subsequent hydrologic cycle responses, respectively. In contrast to far-reaching response of transient eddies, our results show a substantial increase in moisture convergence from ARs that is geographically constrained to the North Atlantic midlatitudes. Such AR changes nevertheless comprise an important component of net precipitation changes over the Euro-Atlantic sector, with the amount being comparable to that from transient eddies over the subpolar Atlantic. Over the course of the century-long simulations, we demonstrate that hydrologic cycle responses to North Atlantic freshening and subsequent feedbacks, including those from ARs, account for approximately half of the simulated AMOC collapse. Our work highlights the dynamics of atmospheric moisture transport response to North Atlantic freshening events and elucidates how intensifying moisture transport may accelerate AMOC collapse in the future.
• Promoting students’ motivation in language education with gamified pedagogical conversational agents. Khosrawi-Rad, Bijan; Keller, Paul Felix; Benner, Dennis; Grogorick, Linda; Borchers, Arne; Janson, Andreas; Leimeister, Jan Marco; Robra-Bissantz, Susanne (2025). 238(December, 105374) 1–24.

  Pedagogical conversational agents (PCAs) like chatbots are a novel approach to technology-mediated language learning with artificial intelligence. They convey learning content interactively and accompany students in their education. However, many users find conversations with PCAs unmotivating. Gamification is a suitable solution to these motivational hurdles due to its playful nature. Given the difficulty of selecting the appropriate game elements and the scarcity of design recommendations for gamified PCAs, we propose the GNPL framework including a cohesive set of four design principles: goal-setting and reflection, novice-expert relationship, performance-related motivation, and learning story narration. In two design cycles, the article shows the application of the design principles in English learning – a domain commonly associated with motivational challenges – by implementing and evaluating a gamified PCA. The results show that the design principles significantly foster learners' motivation and that learners perceive a solid language learning experience, expressed by higher perceived value and social factors. They highlight the relevance of aligning the PCA's social role, the motivational impact of gamification, and the educational goals of the learning context. The design principles guide educators and developers in gamified PCA design. The paper contributes to the theory stream of PCAs by investigating learners' motivation enhancement when using PCAs. In addition, the paper provides new knowledge on meaningful gamification in an unexplored context and practical insights to solve the design challenges of selecting game elements in this context. Furthermore, it shows how language education can be supported by educational technology.
• Rapid depletion and super-resolution microscopy reveal dual roles of SRSF5 in coordinating nuclear speckle-paraspeckle crosstalk during cellular stress. Okuda, Ellen Kazumi; Kessler, Laurell Fridolin; Arnold, Benjamin; Riegger, Ricarda J; Hernández Cañás, Maria Clara; Zebrowska, Ewelina; Bakisoglu, Cem; Rudigier, Mara; Krost, Christine; Nagasse, Helder Y; Keiten-Schmitz, Jan; Müller, Stefan; Stanek, David; Dormann, Dorothee; Zarnack, Kathi; Heilemann, Mike; Müller-McNicoll, Michaela (2025). 53(14) gkaf713-.

  Nuclear speckles (NS) and paraspeckles (PS) are adjacent yet distinct nuclear condensates that undergo stress-induced reorganization. Here, we identify a dual role for the splicing factor SRSF5 in coordinating the crosstalk between both condensates. Super-resolution imaging shows that SRSF5, while enriched in NS, also overlaps with the shell of a subset of PS. SRSF5 binds purine-rich sequences at the 5' end of NEAT1_2 promoting its alignment to PS shells and the formation of large PS cluster during stress. We propose that SRSF5 binding occurs transiently during PS maturation and must later be removed from NEAT1_2 by nuclear helicases. Inhibition of this remodeling by rocaglamide A, which locks helicases onto purine-rich RNA leads to the aberrant fusion of PS and NS, which can be partially rescued by acute SRSF5 depletion. Surprisingly, while short-term SRSF5 loss impairs PS formation, prolonged depletion activates a feedback loop involving intron retention and premature polyadenylation of TARDBP, reduction of TDP-43 levels and NEAT1_2 isoform switching, ultimately restoring PS clusters. Our findings reveal that SRSF5 serves both architectural and regulatory roles in PS biogenesis and that helicase-mediated remodeling is essential to maintain PS identity and function under stress. These insights uncover fundamental principles of nuclear body dynamics.
• Was von Corona übrig bleibt : Erwerbsarbeit, Sozialstruktur, gesellschaftliche Folgen Kohlrausch, Bettina; Peters, Eileen; Schulze Buschoff, Karin (2025). Campus, Frankfurt am Main.

  Die Corona-Pandemie hat das Leben aller Menschen in Deutschland fundamental betroffen. Fünf Jahre nach ihrem Ausbruch im März 2020 ziehen die Beiträge dieses Bandes Bilanz darüber, welche Spuren die Pandemie in der Gesellschaft hinterlassen hat. Von der verstärkten Nutzung des Homeoffice über die Herausforderungen für Selbstständige bis hin zu den Veränderungen in der Mitbestimmung: Die Beiträge zeigen, wie sich Arbeitsformen und soziale Ungleichheiten entwickelt haben und welche Lehren daraus gezogen werden können. Themen wie die Krise in der beruflichen Ausbildung, geschlechtsspezifische Arbeitszeitmuster während der Pandemie sowie soziale Ungleichheit und Armut stehen ebenfalls im Fokus. Ein weiterer Schwerpunkt liegt auf den gesellschaftspolitischen Auswirkungen der Pandemiemaßnahmen: Sorgen und Belastungen führten bei einigen Bürger:innen zu einer politischen Entfremdung und einer nachhaltigen Stärkung antidemokratischer Kräfte. Gestützt auf Daten aus den WSI-Erhebungen und die fundierten Analysen der Autor:innen wird verdeutlicht, was von Corona bleibt – und wie die Gesellschaft in Zukunft besser auf Krisen reagieren kann.
• Hierarchical Reasoning Model. Wang, Guan; Li, Jin; Sun, Yuhao; Chen, Xing; Liu, Changling; Wu, Yue; Lu, Meng; Song, Sen; Yadkori, Yasin Abbasi (2025).
• The Impact of AI-Based Real-Time Gesture Generation and Immersion on the Perception of Others and Interaction Quality in Social XR. Merz, Christian; Krome, Niklas; Wienrich, Carolin; Kopp, Stefan; Latoschik, Marc Erich (2025).

  This study explores how people interact in dyadic social eXtended Reality (XR), focusing on two main factors: the animation type of a conversation partner’s avatar and how immersed the user feels in the virtual environment. Specifically, we investigate how 1) idle behavior, 2) AI-generated gestures, and 3) motion-captured movements from a confederate (a controlled partner in the study) influence the quality of conversation and how that partner is perceived. We examined these effects in both symmetric interactions (where both participants use VR headsets and controllers) and asymmetric interactions (where one participant uses a desktop setup). We developed a social XR platform that supports asymmetric device configurations to provide varying levels of immersion. The platform also supports a modular avatar animation system providing idle behavior, real-time AI-generated co-speech gestures, and full-body motion capture. Using a 2×3 mixed design with 39 participants, we measured users’ sense of spatial presence, their perception of the confederate, and the overall conversation quality. Our results show that users who were more immersed felt a stronger sense of presence and viewed their partner as more human-like and believable. Surprisingly, however, the type of avatar animation did not significantly affect conversation quality or how the partner was perceived. Participants often reported focusing more on what was said rather than how the avatar moved.
• What Happened When I Tried to Replace Myself with ChatGPT in My English Classroom. Gelly, Piers (2025, July 28).
• Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification. Ma, Yingfan; Luo, Xiaoyuan; Fu, Kexue; Wang, Manning M. J. Wooldridge, J. G. Dy, S. Natarajan (eds.) (2024). 14263–14271.
• DLT-Based Verifiable Receipt Credentials for Traceability in EV Battery Supply Chains. Barman, Kaustabh; Herbke, Patrick; Janssen, Luca; Safo, Elias (2024). 74–79.
• A model of an intelligent clustering system with an external module for the architecture of RTOS with intensive changes of states regarding their flexibility and balancing. Kozelskiy, Oleksandr; Kashtalian, Antonina; Stetsyuk, Vasyl; Martiniuk, Dmytro; Sachenko, Anatoliy in CEUR Workshop Proceedings, T. Hovorushchenko, E. Zaitseva, S. Lysenko, V. G. Levashenko (eds.) (2024). (Vol. 3899) 234–243.
• Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. Mutti, Mirco; Santi, Riccardo De; Restelli, Marcello; Marx, Alexander; Ramponi, Giorgia (2024).
• Empower Real-World BCIs with NIRS-X: An Adaptive Learning Framework that Harnesses Unlabeled Brain Signals. Wang, Liang; Zhang, Jiayan; Liu, Jinyang; McKeon, Devon; Brizan, David Guy; Blaney, Giles; Jacob, Robert J. K. L. Yao, M. Goel, A. Ion, P. Lopes (eds.) (2024). 50:1–50:16.
• A model of a DDoS attack scenario on elements of specialized information technology and methods of combating cybercriminals. Stetsyuk, Mykola; Cheshun, Viktor; Stetsyuk, Yuriy; Kozelskiy, Oleksandr; Salem, Abdel-Badeeh M. in CEUR Workshop Proceedings, T. Hovorushchenko, O. Savenko, P. T. Popov, S. Lysenko (eds.) (2024). (Vol. 3675) 260–269.
• Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network. Li, Haoran; Gao, Qiang; Wu, Hongmei; Huang, Li Y. Al-Onaizan, M. Bansal, Y.-N. Chen (eds.) (2024). 1467–1478.
• Architecture of the system with a subsystem of providing fault tolerance, survivability and information protection of specialized information technology. Stetsyuk, Vasyl; Stetsyuk, Mykola; Stetsyuk, Yuriy; Kozelskiy, Oleksandr; Gaj, Piotr in CEUR Workshop Proceedings, T. Hovorushchenko, O. Savenko, P. T. Popov, S. Lysenko (eds.) (2024). (Vol. 3736) 293–311.
• An Efficient Storage Solution for Cloud/Edge Computing Infrastructures : (Invited Paper). Makris, Antonios; Korontanis, Ioannis; Psomakelis, Evangelos; Tserpes, Konstantinos (2024). 92–101.
• Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation. Lackinger, Anna; Morichetta, Andrea; Dustdar, Schahram (2024). 36–45.
• In Palantir we trust? Regulation of data analysis platforms in public security. Ulbricht, Lena; Egbert, Simon (2024). 11(3)

  Organizations increasingly rely on digital technologies to perform tasks. To do so, they have to integrate data banks to make the data usable. We argue that there is a growing, academically underexplored market consisting of data integration and analysis platforms. We explain that, especially in the public sector, the regulatory implications of data integration and analysis must be studied because they affect vulnerable citizens and because it is not just a matter of state agencies overseeing technology companies but also of the state overseeing itself. We propose a platform-theory-based conceptual approach that directs our attention towards the specific characteristics of platforms—such as datafication, modularity, and multilaterality and the associated regulatory challenges. Due to a scarcity of empirical analyses about how public sector platforms are regulated, we undertake an in-depth case study of a data integration and analysis platform operated by Palantir Technologies in the German federal state of Hesse. Our analysis of the regulatory activities and conflicts uncovers many obstacles to effective platform regulation. Drawing on recent initiatives to improve intermediary liability, we ultimately point to additional paths for regulating public sector platforms. Our findings also highlight the importance of political factors in platform regulation-as-a-practice. We conclude that platform regulation in the public sector is not only about technology-specific regulation but also about general mechanisms of democratic control, such as the separation of power, public transparency, and civil rights.
• Distributed Model Serving for Real-time Opinion Detection. Pinter, Paul; Morichetta, Andrea; Dustdar, Schahram (2024). 64–73.
• Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies. Morichetta, Andrea; Lackinger, Anna; Dustdar, Schahram (2024). 102–110.
• WIP: Towards Cloud-based Wildland Fire Simulation Service. Hu, Xiaolin; Yan, Mingxi; Derado, Tony; Zhao, Wei; Zeigler, Bernard P.; Kim, Doohwan; Seo, Chungman (2024). 20–24.
• Diffusing High-level SLO in Microservice Pipelines. Sedlak, Boris; Casamayor-Pujol, Victor; Donta, Praveen Kumar; Dustdar, Schahram (2024). 11–19.
• Towards an API-driven Approach for Universal and Lightweight Cloud-Edge Orchestration. Böhm, Sebastian; Wirtz, Guido (2024). 46–53.
• DIDChain: Advancing Supply Chain Data Management with Decentralized Identifiers and Blockchain. Herbke, Patrick; Lamichhane, Sid; Barman, Kaustabh; Pandey, Sanjeet Raj; Küpper, Axel; Abraham, Andreas; Sabadello, Markus (2024). 54–63.
• Pilot Contamination Resilient Dual-Space Channel Estimation for Massive MIMO-HBF Systems. Qin, Ruqiao; Zhu, Xu; Zhang, Yanfeng; Liu, Yujie; Jiang, Yufei (2024). 4052–4057.
• "Sit on me please": Investigating Perception of Furniture Robotic Movements Using Video Prototyping. LC, Ray; Zamfirescu-Pereira, J. D.; Friedman, Natalie; Fu, Kexue; Li, Yanheng; Ju, Wendy F. ’Floyd’ Mueller, P. Kyburz, J. R. Williamson, C. Sas (eds.) (2024). 9:1–9:6.
• MCBA: A Matroid Constraint-Based Approach for Composite Service Recommendation Considering Compatibility and Diversity : (Invited Paper). Sun, Ying; Wang, Xiao; Xu, Hanchuan; Wang, Zhongjie (2024). 80–91.
• Data Assets as Digital Assets in Web3. Tsai, Wei-Tek; Yang, Dong (2024). 111–119.
• State of Practice and Challenges of Issue Management for Component-based and Service-Oriented Systems: An Empirical Study. Speth, Sandro; Meißner, Niklas; Becker, Steffen; Breitenbücher, Uwe (2024). 1–10.
• A Stable Matching Approach to Energy Efficient and Sustainable Serverless Scheduling for the Green Cloud Continuum. Patel, Yashwant Singh; Townend, Paul (2024). 25–35.
• Computing Resource Allocation for Hybrid Applications of Blockchain and Mobile Edge Computing. Fan, Yuqi; Zhang, Jun; Ding, Xu; Jin, Zhifeng; Shi, Lei in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, H. Gao, X. Wang, N. S. Voros (eds.) (2023). (Vol. 561) 187–206.
• Identifiability Results for Multimodal Contrastive Learning. Daunhawer, Imant; Bizeul, Alice; Palumbo, Emanuele; Marx, Alexander; Vogt, Julia E. (2023).
• Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers. Shi, Lei; Feng, Shilong; Ji, Rui; Xu, Juan; Ding, Xu; Zhan, Baotong in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, H. Gao, X. Wang, N. S. Voros (eds.) (2023). (Vol. 561) 385–402.
• Roadside IRS Assisted Task Offloading in Vehicular Edge Computing Network. Xie, Yibin; Shi, Lei; Li, Zhehao; Ding, Xu; Liu, Feng in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, H. Gao, X. Wang, N. S. Voros (eds.) (2023). (Vol. 561) 365–384.
• Distributed Continuous-Time Resource Allocation Algorithm for Networked Double-Integrator Systems with Time-Varying Non-Identical Hessians and Resources. Ding, Yong; Ren, Wei; Meng, Ziyang (2023). 1159–1164.
• "I Am a Mirror Dweller": Probing the Unique Strategies Users Take to Communicate in the Context of Mirrors in Social Virtual Reality. Fu, Kexue; Chen, Yixin; Cao, Jiaxun; Tong, Xin; LC, Ray A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, A. Peters, S. Mueller, J. R. Williamson, M. L. Wilson (eds.) (2023). 385:1–385:19.
• On the Identifiability and Estimation of Causal Location-Scale Noise Models. Immer, Alexander; Schultheiss, Christoph; Vogt, Julia E.; Schölkopf, Bernhard; Bühlmann, Peter; Marx, Alexander in Proceedings of Machine Learning Research, A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato, J. Scarlett (eds.) (2023). (Vol. 202) 14316–14332.
• Deep Joint Source-Channel Coding for Wireless Image Transmission with Entropy-Aware Adaptive Rate Control. Chen, Weixuan; Chen, Yuhao; Yang, Qianqian; Huang, Chongwen; Wang, Qian; Zhang, Zhaoyang (2023). 2239–2244.
• Joint Optimization of PAoI and Queue Backlog with Energy Constraints in LoRa Gateway Systems. Shi, Lei; Ji, Rui; Wei, Zhen; Feng, Shilong; Li, Zhehao in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, H. Gao, X. Wang, N. S. Voros (eds.) (2023). (Vol. 563) 273–290.
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