{"0f118016f3f1605a4e374f34f655f1a5visus":{"DOI":"10.1145/3242587.3242605","ISBN":"","ISSN":"","URL":"http://doi.acm.org/10.1145/3242587.3242605","abstract":"","annote":"","author":[{"family":"Le","given":"Huy Viet"},{"family":"Mayer","given":"Sven"},{"family":"Henze","given":"Niels"}],"citation-label":"le2018infinitouch","collection-editor":[],"collection-title":"UIST '18","container-author":[],"container-title":"Proceedings of the 31th Annual ACM Symposium on User Interface Software and Technology","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2018"]],"literal":"2018"},"event-place":"New York, NY, USA","id":"0f118016f3f1605a4e374f34f655f1a5visus","interhash":"1f1a0e4a0d667c3d4b888db9ff23802b","intrahash":"0f118016f3f1605a4e374f34f655f1a5","issue":"","issued":{"date-parts":[["2018"]],"literal":"2018"},"keyword":"vis(us) learning machine interaction touchscreen finger-aware vis-sks vis visus:henzens visus:mayersn visus:lehy tiger-generation:639124705458569286","misc":{"affiliation":"Henze, Niels, Institut für Visualisierung und Interaktive Systeme","doi":"10.1145/3242587.3242605"},"note":"","number":"","page":"","page-first":"","publisher":"ACM","publisher-place":"New York, NY, USA","status":"","title":"InfiniTouch: Finger-Aware Interaction on Fully Touch Sensitive Smartphones","type":"paper-conference","username":"visus","version":"","volume":""},"ea93feaefd68796a795528387134f99evisus":{"DOI":"10.1145/3173574.3173934","ISBN":"","ISSN":"","URL":"http://doi.acm.org/10.1145/3173574.3173934","abstract":"","annote":"","author":[{"family":"Le","given":"Huy Viet"},{"family":"Kosch","given":"Thomas"},{"family":"Bader","given":"Patrick"},{"family":"Mayer","given":"Sven"},{"family":"Henze","given":"Niels"}],"citation-label":"le2018palmtouch","collection-editor":[],"collection-title":"CHI '18","container-author":[],"container-title":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2018"]],"literal":"2018"},"event-place":"New York, NY, USA","id":"ea93feaefd68796a795528387134f99evisus","interhash":"614213aeba9dfc16820ac5acb98c438b","intrahash":"ea93feaefd68796a795528387134f99e","issue":"","issued":{"date-parts":[["2018"]],"literal":"2018"},"keyword":"vis-sks vis vis(us) capacitive machine learning smartphone image palm visus:lehy visus:baderpk visus:koschts visus:mayersn visus:henzens tiger-generation:639124705458569286","misc":{"affiliation":"Henze, Niels, Institut für Visualisierung und Interaktive Systeme","doi":"10.1145/3173574.3173934"},"note":"","number":"","page":"360:1-360:13","page-first":"360","publisher":"ACM","publisher-place":"New York, NY, USA","status":"","title":"PalmTouch: Using the Palm As an Additional Input Modality on Commodity Smartphones","type":"paper-conference","username":"visus","version":"","volume":""},"9aac3511e7c4d5ba3e2310b7cd012025visus":{"DOI":"10.1145/3236112.3236163","ISBN":"","ISSN":"","URL":"https://doi.org/10.1145/3236112.3236163","abstract":"","annote":"","author":[{"family":"Le","given":"Huy Viet"},{"family":"Mayer","given":"Sven"},{"family":"Kosch","given":"Thomas"},{"family":"Henze","given":"Niels"}],"citation-label":"le2018demonstrating","collection-editor":[],"collection-title":"MobileHCI '18","container-author":[],"container-title":"Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2018"]],"literal":"2018"},"event-place":"New York, NY, USA","id":"9aac3511e7c4d5ba3e2310b7cd012025visus","interhash":"c6e6e2793424ae3fc9a931244c232df1","intrahash":"9aac3511e7c4d5ba3e2310b7cd012025","issue":"","issued":{"date-parts":[["2018"]],"literal":"2018"},"keyword":"vis(us) palm smartphone image learning machine capacitive vis-sks vis visus:koschts visus:henzens visus:mayersn visus:lehy tiger-generation:639124705458569286","misc":{"affiliation":"Henze, Niels, Institut für Visualisierung und Interaktive Systeme","doi":"10.1145/3236112.3236163"},"note":"","number":"","page":"","page-first":"","publisher":"ACM","publisher-place":"New York, NY, USA","status":"","title":"Demonstrating PalmTouch: The Palm as An Additional Input Modality on Commodity Smartphones","type":"paper-conference","username":"visus","version":"","volume":""},"78bf673c56d534ec73da3eb10cf66c56annettegugel":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Wissel","given":"Henrik"},{"family":"Spanca","given":"Nezir"},{"family":"Rudion","given":"Krzysztof"}],"citation-label":"wissel2025realtime","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"78bf673c56d534ec73da3eb10cf66c56annettegugel","interhash":"296494f16c53b1c0f80e142a660d834d","intrahash":"78bf673c56d534ec73da3eb10cf66c56","issue":"","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"Approaches Day-Ahead Electricity Forecasting Intraday-Auction Learning Machine Markets Prices Real-Time Statistical Using and in of","misc":{"eventtitle":"IEEE PES Innovative Smart Grid Technologies (ISGT) Europe 2025","venue":"Valetta, Malta","eventdate":"October 20-23"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Real-Time Forecasting of Electricity Prices in Day-Ahead and Intraday-Auction Markets Using Statistical and Machine Learning Approaches","type":"paper-conference","username":"annettegugel","version":"","volume":""},"3e5e5052601eb9fa54fff1c439c5b097mohannazadeh":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Villmann","given":"Thomas"},{"family":"Kaden","given":"Marika"},{"family":"Mohannazadeh Bakhtiari","given":"Mehrdad"},{"family":"Villmann","given":"Andrea"}],"citation-label":"villmann2019appropriate","collection-editor":[],"collection-title":"","container-author":[],"container-title":"International Conference on Artificial Intelligence and Soft Computing","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2019"]],"literal":"2019"},"event-place":"","id":"3e5e5052601eb9fa54fff1c439c5b097mohannazadeh","interhash":"fa2f104baa9aeeb4d3925945dac14034","intrahash":"3e5e5052601eb9fa54fff1c439c5b097","issue":"","issued":{"date-parts":[["2019"]],"literal":"2019"},"keyword":"data density learning machine probabilistic","note":"","number":"","number-of-pages":"11","page":"443--454","page-first":"443","publisher":"Springer","publisher-place":"","status":"","title":"Appropriate data density models in probabilistic machine learning approaches for data analysis","type":"paper-conference","username":"mohannazadeh","version":"","volume":""},"b2a7a7dfa98271586f9e8d6bf1b43224itft-puma":{"DOI":"10.1002/stab.70009","ISBN":"","ISSN":"0038-9145","URL":"https://onlinelibrary.wiley.com/doi/10.1002/stab.70009","abstract":"Angesichts des steigenden Energiebedarfs im Gebäudebetrieb gewinnt die Entwicklung adaptiver Fassadensysteme zunehmend an Bedeutung. Insbesondere solaraktive Gebäudehüllen bieten Potenzial, durch gezielte Steuerung von Sonneneinstrahlung, Belüftung und Tageslichtnutzung den Energieverbrauch zu senken und gleichzeitig den Nutzerkomfort zu erhöhen. Das Forschungsprojekt FlectoLine-Fassade verfolgt das Ziel, intelligente, materialbasierte adaptive Fassadenlösungen ohne klassische Antriebs- und Steuerungssysteme zu realisieren. Im Zentrum stehen dabei flexible Faltelemente, die auf bioinspirierten, nachgiebigen Mechanismen basieren und sich durch die elastische Verformbarkeit von FVK-Platten ohne Gelenke auszeichnen. Durch integrierte pneumatische Aktuatoren, präzise programmierte Materialsysteme und gezielte Differenzierung der Steifigkeiten kann eine kontrollierte Faltbewegung bis 90° erreicht werden. Neben einem Hybridmaterialsystem wurde eine thermoplastische Variante entwickelt, die einfacher zu fertigen und recycelbar ist. Umfangreiche Belastungstests belegen die Langlebigkeit beider Systeme. Ergänzend wurden flexible Photovoltaikzellen integriert, um Energie zu gewinnen. Ein digitaler Zwilling mit Sensorik und Wetterdaten steuert die Fassade in Echtzeit. Der Demonstrator mit 101 individuell verformbaren Elementen auf 83,5 m2 zeigt die technische Umsetzbarkeit und das energetische Potenzial adaptiver Fassadentechnologien der nächsten Generation.\r\n\r\nIn view of the increasing energy demand in building operations, the development of adaptive façade systems is gaining growing importance. In particular, solar-active building envelopes offer potential to reduce energy consumption through targeted control of solar radiation, ventilation, and daylight use, while simultaneously increasing user comfort. The research project FlectoLine Façade aims to realize intelligent, material-based adaptive façade solutions without conventional drive and control systems. At its core are flexible folding elements based on bio-inspired, compliant mechanisms characterized by elastic deformability of fibre-reinforced composite (FRC) panels without joints. Through integrated pneumatic actuators, precisely programmed material systems, and targeted differentiation of stiffness, a controlled folding movement of up to 90° can be achieved. In addition to a hybrid material system, a thermoplastic variant was developed that is easier to manufacture and recyclable. Extensive load tests demonstrate the durability of both systems. Furthermore, flexible photovoltaic cells were integrated to generate energy. A digital twin with sensors and weather data controls the façade in real time. The demonstrator with 101 individually deformable elements covering 83.5 m2 demonstrates the technical feasibility and the energetic potential of next-generation adaptive façade technologies.","annote":"","author":[{"family":"Körner","given":"Axel"},{"family":"Martin","given":"Edith Anahi Gonzalez San"},{"family":"Born","given":"Larissa"},{"family":"Ridder","given":"Matthias"},{"family":"Moser","given":"Stephan"},{"family":"Weitlaner","given":"Robert"},{"family":"Gresser","given":"Götz T."},{"family":"Knippers","given":"Jan"}],"citation-label":"Korner.2025","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Stahlbau","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025","10"]],"literal":"2025"},"event-place":"","id":"b2a7a7dfa98271586f9e8d6bf1b43224itft-puma","interhash":"f15df303e6bf81a97566df307eddcfc2","intrahash":"b2a7a7dfa98271586f9e8d6bf1b43224","issue":"","issued":{"date-parts":[["2025","10"]],"literal":"2025"},"keyword":"Aktuatorik Bionik Fassade Kunststoff Lernen Mechanismen Photovoltaik Zwilling actuation adaptive biomimetic compliant digital digitaler faserverstärkter façade fibre learning machine maschinelles mechanisms nachgiebige photo plastic pneumatic pneumatische reinforced responsive twin voltaic","misc":{"language":"ger eng","file":"K{\\\"o}rner, Martin et al 2025 - FlectoLine:Attachments/K{\\\"o}rner, Martin et al 2025 - FlectoLine.pdf:application/pdf","issn":"0038-9145","doi":"10.1002/stab.70009"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"FlectoLine: eine adaptive Fassade für nachhaltige Architektur\r\nFlectoLine: A responsive Façade for sustainable architecture","type":"article-journal","username":"itft-puma","version":"","volume":""},"1ae3450942b5d9c5e60bcc988f964384mariawirzberger":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Schäfer","given":"Melanie"},{"family":"Becker","given":"Steffen"},{"family":"Wirzberger","given":"Maria"}],"citation-label":"schafer2024digital","collection-editor":[],"collection-title":"","container-author":[],"container-title":"TURN Conference 2024","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2024"]],"literal":"2024"},"event-place":"","id":"1ae3450942b5d9c5e60bcc988f964384mariawirzberger","interhash":"47ce6401b6840b80226d295c5edcacf0","intrahash":"1ae3450942b5d9c5e60bcc988f964384","issue":"","issued":{"date-parts":[["2024"]],"literal":"2024"},"keyword":"competence digital gamification instruction learning myown video","misc":{"venue":"TURN Conference 2024"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Digital fit ins Studium starten","type":"paper-conference","username":"mariawirzberger","version":"","volume":""},"7c42de936daf2942faf1e7eed65da74cmariawirzberger":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Wirzberger","given":"Maria"}],"citation-label":"wirzberger2024intelligente","collection-editor":[{"family":"Rey","given":"Günter Daniel"}],"collection-title":"","container-author":[{"family":"Rey","given":"Günter Daniel"}],"container-title":"Lehren und lernen mit digitalen Medien: Theorien und Design","documents":[],"edition":"","editor":[{"family":"Rey","given":"Günter Daniel"}],"event-date":{"date-parts":[["2024"]],"literal":"2024"},"event-place":"","id":"7c42de936daf2942faf1e7eed65da74cmariawirzberger","interhash":"ab3f8dbd7a6c539b400c90f9ec69d0c6","intrahash":"7c42de936daf2942faf1e7eed65da74c","issue":"","issued":{"date-parts":[["2024"]],"literal":"2024"},"keyword":"AI analytics chatbots cognition ethics learning llis myown technology tutoring","note":"","number":"","number-of-pages":"27","page":"155–182","page-first":"155","publisher":"Hogrefe","publisher-place":"","status":"","title":"Intelligente Systeme für das Lehren und Lernen","type":"chapter","username":"mariawirzberger","version":"","volume":""},"63bded38df79dcc836fa088d7220e15cmariawirzberger":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Wirzberger","given":"Maria"},{"family":"Bareiß","given":"Laura"},{"family":"Baybüyük","given":"Leyla"}],"citation-label":"wirzberger2025starke","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Neue Akzente","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"63bded38df79dcc836fa088d7220e15cmariawirzberger","interhash":"a89ab9683192756b8959addde18aa95c","intrahash":"63bded38df79dcc836fa088d7220e15c","issue":"","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"cognition learning llis myown neurodiversity society workplace","note":"","number":"","number-of-pages":"2","page":"5-7","page-first":"5","publisher":"","publisher-place":"","status":"","title":"Starke Vielfalt im Kopf: Wie Neurodiversität unser Zusammenleben bereichern kann und wie wir damit in Arbeit und Bildung umgehen können","type":"article-journal","username":"mariawirzberger","version":"","volume":"130"},"10e791a85e2b9de0d19f27ca7c09b69dmariawirzberger":{"DOI":"https://doi.org/10.1016/j.actpsy.2025.105273","ISBN":"","ISSN":"","URL":"https://doi.org/10.1016/j.actpsy.2025.105273","abstract":"Introduction\r\nThe persistent prevalence of distractions challenges people's capacities to study and work productively. Digital tools can support focusing on meaningful tasks with features like time tracking, feedback, or rewards. Evidence exists for benefits regarding behavioral focus, distraction management, and motivation, but also for hesitation to use digital support at all. Building on the Unified Theory of Acceptance and Use of Technology (UTAUT), this research explores which factors can foster or hinder the intention to use an exemplary software to support self-regulation.\r\nMethods\r\nA sample of 96 adult volunteers watched a short introductory video explaining how the software focUS fosters self-regulated studying and working. Subsequently, participants completed an online survey to capture their willingness to use focUS, expected gains and challenges, and individual characteristics.\r\nResults\r\nParticipants expressed stronger intentions to use focUS when they expected increased benefits in performance. By trend, lower levels of expected effort also hinted on stronger intentions to use focUS. Contrary to expectations, participants lacking previous experience with software in the scope described, who anticipated higher effort when using focUS, tended to express stronger intentions to use it.\r\nDiscussion\r\nTaken together, our evidence suggests that highlighting specific performance improvements may encourage the use of digital support for tasks that require self-regulation. Ensuring the use of digital support to be as effortless as possible could provide yet another compelling argument to use it. Particularly for inexperienced users, sparking curiosity for the challenges of the unknown might be a worthwhile strategy to reduce hesitation towards emerging technologies.","annote":"","author":[{"family":"Wirzberger","given":"Maria"},{"family":"Bareiß","given":"Laura"},{"family":"Herbst","given":"Veronika"},{"family":"Stock","given":"Adrian"},{"family":"Kembitzky","given":"Jule"}],"citation-label":"wirzberger2025performance","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Acta Psychologica","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"10e791a85e2b9de0d19f27ca7c09b69dmariawirzberger","interhash":"aa0c7aa833c1f78085582a4ea6384eda","intrahash":"10e791a85e2b9de0d19f27ca7c09b69d","issue":"","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"UTAUT academic acceptance digital effort expectancy feedback learning myown performance self-regulation technology working","misc":{"doi":"https://doi.org/10.1016/j.actpsy.2025.105273"},"note":"","number":"","page":"105273","page-first":"105273","publisher":"Elsevier","publisher-place":"","status":"","title":"Performance expectancy benefits acceptance towards digital support for self-regulation","type":"article-journal","username":"mariawirzberger","version":"","volume":"258"},"b8e91288f1f78f9aad0477bca97182c1mariawirzberger":{"DOI":"https://doi.org/10.3389/fcom.2025.1593889","ISBN":"","ISSN":"","URL":"","abstract":"Given the ever-evolving demands of the professional world, higher education plays a vital role in equipping students with strategies for self-organized and sustainable skill development. This enables students to quickly and independently adapt to new knowledge and skills throughout their careers. Therefore, it is of the essence to integrate methods that enhance self-regulation skills into our study programs, alongside the instruction of specific subject-matter expertise. Addressing these demands, we introduce a focused training that embeds the assistive software tool focUS into a structured seminar concept, leveraging eduScrum elements and accompanying learning communities. After introducing the results of a pilot evaluation with a small group of interdisciplinary doctoral students, we discuss possibilities of technical and conceptual integration in course curricula and learning counseling in higher education. Taken together, our approach indicates value for empowering future professionals across various domains to unleash their full potential.","annote":"","author":[{"family":"Schmitz-Hübsch","given":"Alina"},{"family":"Bareiß","given":"Laura"},{"family":"Jahn","given":"Eva"},{"family":"Wirzberger","given":"Maria"}],"citation-label":"schmitz7eduscrum","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Frontiers in Computer Science","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"b8e91288f1f78f9aad0477bca97182c1mariawirzberger","interhash":"c080bec330ea1993d3d8ed7a320e6431","intrahash":"b8e91288f1f78f9aad0477bca97182c1","issue":"","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"cognition eduScrum feedback focUS learning myown training","misc":{"doi":"https://doi.org/10.3389/fcom.2025.1593889"},"note":"","number":"","page":"1593889","page-first":"1593889","publisher":"Frontiers","publisher-place":"","status":"","title":"eduScrum meets focUS: A computer-assisted training to promote selfregulation skills in Higher Education","type":"article-journal","username":"mariawirzberger","version":"","volume":"7"},"f1192f6e4c03016955aa049a78516ee2mariawirzberger":{"DOI":"10.1145/3743049.3748574","ISBN":"","ISSN":"","URL":"https://doi.org/10.1145/3743049.3748574","abstract":"This paper presents a novel adaptive training system that integrates a Virtual Reality (VR) environement, real-time neurofeedback (NF) via functional near-infrared spectroscopy (fNIRS), and tactile stimulation, specifically designed to enhance cognitive skills in autistic adults. Central to this system is an integration platform that enables real-time, synchronised interplay between user behaviours and neurophysiological data. The presented neuroadaptivity loop employs a feedback mechanism that continuously assesses users’ cognitive states through fNIRS, allowing the system to dynamically adjust environmental complexity and send tactile cues based on real-time mental state indicators. This multimodal approach fosters cognitive executive functions relevant for managing everyday situations. By prioritising user-centred design through iterative feedback from autistic individuals, the platform ensures usability and safety while promoting skill transfer from structured training to real-world applications. The implications of this system extend to personalised, adaptive technologies in workplace training, highlighting important considerations regarding user empowerment.","annote":"","author":[{"family":"Vorreuther","given":"Anna"},{"family":"Tagalidou","given":"Nektaria"},{"family":"Lingelbach","given":"Katharina"},{"family":"Bareiß","given":"Laura"},{"family":"Wirzberger","given":"Maria"},{"family":"Vukelić","given":"Mathias"}],"citation-label":"vorreuther2025exploring","collection-editor":[],"collection-title":"","container-author":[],"container-title":"MuC '25: Proceedings of the Mensch und Computer 2025","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025","08","31"]],"literal":"2025"},"event-place":"","id":"f1192f6e4c03016955aa049a78516ee2mariawirzberger","interhash":"9289c530e18b62601bf4d6060e049555","intrahash":"f1192f6e4c03016955aa049a78516ee2","issue":"","issued":{"date-parts":[["2025","08","31"]],"literal":"2025"},"keyword":"VR cognition fNIRS haptics imported learning myOwn neurodiversity training","misc":{"doi":"10.1145/3743049.3748574"},"note":"","number":"","number-of-pages":"6","page":"571-577","page-first":"571","publisher":"","publisher-place":"","status":"","title":"Exploring Neuroadaptivity for Virtual-Reality-Based Cognitive Skill Training in Autistic Adults","type":"paper-conference","username":"mariawirzberger","version":"","volume":""},"ce0e1bd86724975ba4eff08030355406mgaimann":{"DOI":"10.48550/ARXIV.2509.01799","ISBN":"","ISSN":"","URL":"https://arxiv.org/abs/2509.01799","abstract":"","annote":"","author":[{"family":"Gaimann","given":"Mario U."},{"family":"Klopotek","given":"Miriam"}],"citation-label":"https://doi.org/10.48550/arxiv.2509.01799","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"ce0e1bd86724975ba4eff08030355406mgaimann","interhash":"c3b30ef3e0460e32ecf99b4e02e670a3","intrahash":"ce0e1bd86724975ba4eff08030355406","issue":"","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"(cond-mat.soft), (cs.LG), (nlin.AO), (physics.comp-ph), Adaptation Computational Computer Condensed FOS: Learning Machine Matter Physical Physics Self-Organizing Soft Systems and information manybodyml myown publist sciences sciences,","misc":{"copyright":"Creative Commons Attribution 4.0 International","doi":"10.48550/ARXIV.2509.01799"},"note":"","number":"","page":"","page-first":"","publisher":"arXiv","publisher-place":"","status":"","title":"Optimal information injection and transfer mechanisms for active matter reservoir computing","type":"article","username":"mgaimann","version":"","volume":""},"5d387ee91634bd1c13b4141878075e27mgaimann":{"DOI":"10.48550/ARXIV.2505.05420","ISBN":"","ISSN":"","URL":"https://arxiv.org/abs/2505.05420","abstract":"","annote":"","author":[{"family":"Gaimann","given":"Mario U."},{"family":"Klopotek","given":"Miriam"}],"citation-label":"https://doi.org/10.48550/arxiv.2505.05420","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2025"]],"literal":"2025"},"event-place":"","id":"5d387ee91634bd1c13b4141878075e27mgaimann","interhash":"e25ac83346f1d4436e678e1454858fee","intrahash":"5d387ee91634bd1c13b4141878075e27","issue":"","issued":{"date-parts":[["2025"]],"literal":"2025"},"keyword":"(cond-mat.soft), (cs.LG), (nlin.AO), (physics.comp-ph), Adaptation Computational Computer Condensed FOS: Learning Machine Matter Physical Physics Self-Organizing Soft Systems and information manybodyml myown publist sciences sciences,","misc":{"copyright":"Creative Commons Attribution 4.0 International","doi":"10.48550/ARXIV.2505.05420"},"note":"","number":"","page":"","page-first":"","publisher":"arXiv","publisher-place":"","status":"","title":"Robustly optimal dynamics for active matter reservoir computing","type":"article","username":"mgaimann","version":"","volume":""},"152183f0edd23d3a6b697219f2c6ca41inspo5":{"DOI":"10.14814/phy2.70187","ISBN":"","ISSN":"2051-817X","URL":"http://dx.doi.org/10.14814/phy2.70187","abstract":"AbstractThe maintenance of an appropriate ratio of body fat to muscle mass is essentialfor the preservation of health and performance, as excessive body fat is associatedwith an increased risk of various diseases. Accurate body composition assessmentrequires precise segmentation of structures. In this study we developed a novelautomatic machine learning approach for volumetric segmentation and quantita-tive assessment of MRI volumes and investigated the efficacy of using a machinelearning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bonevolume of the thigh before and after a strength training. Eighteen healthy, young,female volunteers were randomly allocated to two groups: intervention group(IG) and control group (CG). The IG group followed an 8-week strength endur-ance training plan that was conducted two times per week. Before and after thetraining, the subjects of both groups underwent MRI scanning. The evaluation ofthe image data was performed by a machine learning system which is based ona 3D U-Net- based Convolutional Neural Network. The volumes of muscle, bone,and SAT were each examined using a 2 (GROUP [IG vs. CG]) × 2 (TIME [pre-intervention vs. post-intervention]) analysis of variance (ANOVA) with repeatedmeasures for the factor TIME. The results of the ANOVA demonstrate significantTIME × GROUP interaction effects for the muscle volume (F1,16 = 12.80, p = 0.003,ηP2 = 0.44) with an increase of 2.93% in the IG group and no change in the CG(−0.62%, p = 0.893). There were no significant changes in bone or SAT volumebetween the groups. This study supports the use of artificial intelligence systemsto analyze MRI images  as a reliable tool for monitoring training responses onbody composition.","annote":"","author":[{"family":"Ramedani","given":"Saied"},{"family":"Kelesoglu","given":"Ebru"},{"family":"Stutzig","given":"Norman"},{"family":"Von Tengg‐Kobligk","given":"Hendrik"},{"family":"Daneshvar Ghorbani","given":"Keivan"},{"family":"Siebert","given":"Tobias"}],"citation-label":"Ramedani_2025","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Physiological 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