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    <title>https://opus4.kobv.de/opus4-thd</title>
    <description>OPUS documents</description>
    <link>https://opus4.kobv.de/opus4-thd/index/index/</link>
    <pubDate>Wed, 22 Apr 2026 15:11:46 +0200</pubDate>
    <lastBuildDate>Wed, 22 Apr 2026 15:11:46 +0200</lastBuildDate>
    <item>
      <title>Blind confusion of classification networks: A black box evaluation under common and structured image corruptions</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/277</link>
      <description>Real world image classifiers frequently operate under unknown corruptions that degrade both accuracy and confidence in unpredictable ways. (1) This study evaluates the robustness of 37 neural network models for image classification under diverse corruptions through a black box stress test. The evaluated models include conventional and modern convolutional neural networks, such as AlexNet, ResNet, and Inception. They also include noise-robust variants, such as Noisy Student and AugMix-ResNet, and vision transformers such as ViT, DeiT and Swin. (2) Fifteen corruption types are applied to the ImageNet ILSVRC2012 validation set. These include common corruptions such as Gaussian, speckle and salt and pepper noise, as well as structured corruptions including random lines, random crosses and confusion blocks. (3) To distinguish accuracy degradation from shifts in model confidence, this work complements the Corruption Error (CE) metric with the proposed Accuracy Confidence Divergence (ACD), which summarizes the directional gap between accuracy and predicted confidence across corruption severities. CE uses AlexNet as the reference model, and larger CE values indicate greater accuracy degradation under corruption. Our results show that several corruptions degrade model performance more severely, especially structured corruptions such as random lines and random stripes horizontal, whose CE values exceed 0.50. Among common corruptions, salt and pepper noise exceeds 0.43, whereas the lower CE bounds for the others lie roughly between 0.24 and 0.33. These findings highlight distinct vulnerabilities in modern architectures and demonstrate the importance of extended robustness benchmarks that explicitly include structured and nonstandard corruption types.</description>
      <author>Atam O. Erkara; Markus Mayer</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/277</guid>
      <pubDate>Wed, 22 Apr 2026 15:11:46 +0200</pubDate>
    </item>
    <item>
      <title>Endoscopic gluteal tendon repair reduces complication rates while achieving outcomes comparable to open repair: A multilevel meta‐analysis</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/270</link>
      <description>Purpose&#13;
The purpose of this systematic review and multilevel meta‐analysis was to compare short‐term functional outcomes, pain relief, and complication rates between open and endoscopic gluteal tendon repair, expressed as functional improvement normalized to minimal clinically important difference (MCID) units. The hypothesis was that endoscopic repair would provide comparable clinical efficacy with a lower complication rate compared with open repair. &#13;
&#13;
Methods&#13;
PubMed, Embase, CENTRAL and Epistemonikos were searched to 15 October 2025. Eligible primary studies reporting postoperative or change outcomes were synthesized with a frequentist multilevel random‐effects model (inverse variance, restricted maximum likelihood estimation, Hartung–Knapp adjustment). &#13;
&#13;
Results&#13;
Thirty‐four studies (1278 patients; 1283 hips) met criteria. Postoperative functional MCID (27 studies; n  = 1005): overall 9.01 (95% confidence interval [CI]: 8.11–9.91; I 2  = 100%; τ 2  = 5.2); open 9.09 (8.12–10.06; six studies; n  = 398) versus endoscopic 8.96 (8.02–9.90; 17 studies; n  = 607); no subgroup difference ( p  = 0.63). Change in functional MCID (21 studies; n  = 718): overall 3.33 (2.86–3.81; I 2  = 83%; τ 2  = 0.9); open 3.10 (2.39–3.81; nine studies; n  = 290) versus endoscopic 3.52 (2.89–4.15; 12 studies; n  = 428); no difference ( p  = 0.36). Postoperative pain MCID (19 studies; n  = 867): overall 1.71 (1.27–2.16; I 2  = 98%; τ 2  = 0.9); open 1.58 (1.03–2.13; nine studies; n  = 349) versus endoscopic 1.81 (1.31–2.32; 11 studies; n  = 518); no difference ( p  = 0.38). Change in pain MCID (19 studies; n  = 798): overall –1.99 (–2.74 to –1.24; I 2  = 99%; τ 2  = 2.5); open –1.82 (–2.96 to –0.69; nine studies; n  = 349) versus endoscopic –2.12 (–3.18 to –1.09; 11 studies; n  = 449); no difference ( p  = 0.68). Overall complications (25 studies; n  = 804): 58/804 (0.07; 95% CI: 0.05–0.11; I 2  = 53%; τ 2  = 0.8); open 33/371 (0.08; 0.04–0.16) versus endoscopic 25/433 (0.07; 0.04–0.12); no difference ( p  = 0.70). &#13;
&#13;
Conclusion&#13;
Open and endoscopic gluteal tendon repair provide clinically meaningful short‐term improvements in function and pain, with no relevant differences in efficacy when interpreted using MCID units. These findings support both techniques in clinical practice and favour endoscopic repair when available due to its less invasive nature. &#13;
&#13;
Level of Evidence&#13;
Level III, systematic review and meta‐analysis of predominantly Level III studies.</description>
      <author>Nikolai Ramadanov; Maximilian Voss; Ariana Lott; Robert Hable; Robert Prill; Roland Becker; Marko Ostojic; Plamen Penchev; Ingo J. Banke</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/270</guid>
      <pubDate>Thu, 16 Apr 2026 10:21:12 +0200</pubDate>
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    <item>
      <title>Strengthening Potentials of Lithium‐Doped Soda–Lime–Silicate Glasses Through Surface Crystallization of Quartz‐ss</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/269</link>
      <description>The formation of a crystallized surface layer, having a lower coefficient of thermal expansion (CTE) than the parent glass, can be exploited to place the glass surface under compression during cooling from crystallization temperature and hence improve mechanical properties. In our study, we focused on the understanding of the compositional dependency of the surface crystallization of quartz solid solutions (Qz‐ss) with potentially low CTE. Specifically, we investigated the crystallization of melt‐prepared soda–lime–silicate glasses with variable Al2O3 content that were doped with lithium in exchange for sodium. Further, the role of ZnO and MgO in the crystallization was evaluated. Despite rather complex glass compositions, the observed cell parameters of the obtained Qz‐ss are close to the corresponding ternary Li2O─Al2O3─SiO2 (LAS) system. Further, a simple model was applied to predict the in‐plane stresses in the surface. For modeled compositions down to 5.5 mol% Al2O3, formation of a compressive layer for the complete range of the crystalline content can be observed. Our findings illustrate the potential of strengthening glasses through surface crystallization as an alternative to thermal‐ and chemical strengthening to make glass‐packaging more weight competitive. The results can help to optimize glass compositions that can be strengthened by this method.</description>
      <author>Fabian Stoelzel; Thorsten Gerdes</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/269</guid>
      <pubDate>Thu, 16 Apr 2026 10:09:05 +0200</pubDate>
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    <item>
      <title>Emerging role of ARHGAP29 in melanoma cell phenotype switching</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/267</link>
      <description>Rho GTPase‐activating protein 29 (ARHGAP29) is an inhibitor of the Ras homolog family member A (RhoA)/Rho‐associated protein kinase (ROCK) signaling pathway. Studies in non‐melanoma cancer entities described that ARHGAP29 modulates the actin cytoskeleton, promoting tumor cell invasion. In melanoma, its function has been completely unknown. Our transcriptomic analyses revealed a strong expression of ARHGAP29 in melanoma cell lines compared to melanocytes. Therefore, we hypothesized that ARHGAP29 affects the migratory potential of melanoma cells and drives melanoma progression. By knocking down ARHGAP29, we demonstrated that it promotes a spread cell morphology through regulating the RhoA/ROCK pathway. Further investigations indicated the role of ARHGAP29 on SMAD activity. Interestingly, our data showed that ARHGAP29 expression is promoting tumor cell plasticity through a mesenchymal‐like, invasive phenotype. To summarize, this study gives insights into the functional role of ARHGAP29 and its downstream signaling in melanoma. Our findings provided evidence supporting the hypothesis that ARHGAP29 is an important player in melanoma progression, a promising and novel target in melanoma treatment.</description>
      <author>Beatrice Charlotte Tröster; Melanie Kappelmann‐Fenzl; Anja Katrin Bosserhoff; Nicole Rachinger</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/267</guid>
      <pubDate>Thu, 16 Apr 2026 09:58:07 +0200</pubDate>
    </item>
    <item>
      <title>Mid‐ to long‐term outcomes of capsular management in hip arthroscopy for FAIS: A multilevel meta‐analysis</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/266</link>
      <description>Purpose&#13;
To compare mid‐ to long‐term outcomes of the three major capsular management strategies—capsule preserved (CP), capsule repaired (CR) and capsule unrepaired (CU)—following hip arthroscopy (HAS) for femoroacetabular impingement syndrome (FAIS). &#13;
&#13;
Methods&#13;
A systematic search was conducted in PubMed, Embase, CENTRAL, and Epistemonikos for studies published up to 31 May 2025. Studies were eligible if they reported ≥2‐year outcomes after HAS with clearly described capsular techniques. Outcomes included the modified Harris Hip Score (mHHS), Hip Outcome Score—Activities of Daily Living (HOS‐ADL) and Sports Subscale (HOS‐SSS) and Visual Analogue Scale (VAS) for pain. Multilevel meta‐analyses were performed using random‐effects models with Hartung–Knapp adjustment. Failure‐related outcomes (complications, reoperations, total hip arthroplasty [THA] conversions) were inconsistently reported across studies and could only be summarised descriptively. &#13;
&#13;
&#13;
Results&#13;
Seven studies with a total of 948 patients were included. Pooled mean mHHS was 81.14 (95% confidence interval [CI]: 77.72–84.56), with CP: 84.90, CR: 80.66 and CU: 80.25 ( p  = 0.67). HOS‐ADL pooled mean was 87.94 (95% CI: 84.79–91.09), with CP: 89.30, CR: 87.36, CU: 88.31 ( p  = 0.90). HOS‐SSS pooled mean was 78.59 (95% CI: 72.69–84.48), with CP: 75.70, CR: 78.89, CU: 80.22 ( p  = 0.84). VAS pooled mean was 2.42 (95% CI: 2.08–2.77), with CP: 2.46, CR: 2.27, CU: 2.76 ( p  = 0.51). No statistically significant subgroup differences were detected. CR showed the highest cumulative numbers of reoperations and THA conversions, whereas CP and CU demonstrated lower but heterogeneous event counts. &#13;
&#13;
Conclusion&#13;
CP, CR and CU demonstrated comparable mid‐ to long‐term patient‐reported outcome measure (PROM) outcomes following HAS for FAIS. Failure‐related events varied descriptively across techniques, but inconsistent reporting prevented comparative survivorship assessment. &#13;
&#13;
Level of Evidence&#13;
Level II, systematic review and multilevel meta‐analysis of predominantly Level III studies, with additional contributions from Level I and II studies.</description>
      <author>Nikolai Ramadanov; Maximilian Voss; Robert Hable; Robert Prill; Roland Becker; Ingo J. Banke</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/266</guid>
      <pubDate>Thu, 16 Apr 2026 09:40:38 +0200</pubDate>
    </item>
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      <title>Classification of industrial components by artificial intelligence using synthetic data from a computer-aided design software</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/265</link>
      <description>The growing interest in automation in industrial production increases the demand for artificial intelligence in the recognition of manufactured components. Sorting tasks require automated classification methods that can be implemented using machine vision and deep learning. One of the main challenges in deep learning applications is the collection of training data, especially when many different objects must be considered. Synthetic training images offer a way to avoid the time consuming acquisition of real images. In the presented method, synthetic images of industrial components are generated automatically within a computer aided design environment. A script creates images of the objects from multiple perspectives directly in the software in which they were designed. This lightweight, CAD integrated workflow explores how artificial data can be produced during the design process. A convolutional neural network is trained using transfer learning with synthetic data only and evaluated on real images to assess the sim to real gap. The method achieved an accuracy of 79.67% on the real world test set. The results show a clear internal improvement in accuracy when increasing the number of synthetic images, even with minor variations. The findings demonstrate the feasibility of the approach while indicating that the sim to real gap remains a challenge. A model trained with this workflow could support automated classification and sorting of industrial components.</description>
      <author>Nils Rabeneck; Pooja Kamble</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/265</guid>
      <pubDate>Wed, 15 Apr 2026 13:50:43 +0200</pubDate>
    </item>
    <item>
      <title>Monitoring of internal load, sleep, and well-being in relation to injury and illness in professional basketball</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/264</link>
      <description>Background&#13;
Athlete health is essential for sustained performance in professional sport, with injuries and illnesses limiting both individual and team success. Although athlete monitoring is widely used to support load and recovery management and reduce injury risk, evidence linking training load, well-being and health outcomes in professional basketball is inconsistent. Holistic monitoring approaches may enhance the understanding of load-related health dynamics. Therefore, this study aimed to investigate the associations between internal load, sleep, and physical and mental well-being and the occurrence of injury and illness in professional male basketball players across a competitive season. &#13;
&#13;
Methods&#13;
In this prospective observational study (German Clinical Trials Register ID: DRKS00032713; registered 19 October 2023), 16 professional male basketball players were monitored over a 31-week competitive season using a software application (Prevention Management Tool, PMT) provided by the German Accident Insurance for professional team sports. Structured injury and illness surveillance was conducted throughout the study period. Internal load was assessed 30 min after each training session and match using the session rating of perceived exertion (sRPE) method. In addition to sleep duration, PMT-integrated athlete self-reported measures collected each morning assessed sleep quality, physical and mental well-being using 11-point Likert scales (0–10). Linear mixed-effects models were used to investigate the associations between internal load, sleep and well-being and the occurrence of injury and illness. &#13;
&#13;
Results&#13;
A total of 3,454 athlete records were included in the analyses, corresponding to a completion rate of 88.9%. Mean weekly internal load derived from sRPE was 3,873 ± 1,524 arbitrary units. Mean daily sleep duration was 8.16 ± 1.17 h. Mean scores for sleep quality, physical well-being, and mental well-being were 7.59 ± 1.34, 7.78 ± 1.27, and 7.76 ± 1.28, respectively. The cumulative season incidence rates were 1.31 for acute injuries, 0.50 for overuse injuries, and 2.06 for illnesses. Higher internal load and lower sleep quality were associated with reduced physical and mental well-being. Lower physical well-being was significantly associated with illness occurrence ( P &lt; .001, η ²ₚ = 0.03), whereas physical and mental well-being were not associated with injury occurrence. &#13;
&#13;
Conclusions&#13;
Higher internal load and lower sleep quality were associated with reduced well-being in professional male basketball players. Decreased physical well-being was associated with illness occurrence, supporting its relevance as a potential early indicator within athlete health monitoring frameworks.</description>
      <author>Jakob Burger; Richard Latzel; Thomas Voit; Lynn Matits; Othmar Moser; Alexander-Stephan Henze</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/264</guid>
      <pubDate>Wed, 15 Apr 2026 13:13:26 +0200</pubDate>
    </item>
    <item>
      <title>Curvature-coupled triangulated relativistic quantum computation: entanglement equilibrium, geometry registers, and discrete curvature-response relations</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/259</link>
      <description>We propose gTRQC, a curvature—coupled extension of Triangulated Relativistic Quantum Computation, that embeds entanglement—equilibrium principles into finite-dimensional GKSL dynamics on causal triangulations. Each spacelike slice carries matter Hilbert spaces and a vertex curvature surrogate K ( v ) obtained from 2D angle deficits of an auxiliary triangulation of the slice vertices. For TRQC balls B we define Sgen(B)=αAreadisc(∂B;KΣ)+S(ρB)and postulate its stationarity under first-order variations of ρBand K at fixed discrete volume. Using the finite-dimensional entanglement first law, this yields vertex-local linear-response relations linking curvature perturbations to modular-energy responses; for quadratic counterterms they become discrete Poisson/Helmholtz equations. Backreaction is realized by augmenting each slice with finite-dimensional geometry registers whose pointer basis labels curvature levels, and by constructing joint matter—geometry Gorini–Kossakowski–Lindblad–Sudarshan generators that are completely positive trace preserving, causally factorized, and no-signaling. In our explicit models the geometry remains nearly diagonal in this basis, so curvature-label dynamics reduces to a classical continuous-time Markov relaxation while retaining quantum-compatible channel semantics. We provide a variational characterization: for local Laplacian+mass counterterms and given modular-energy source J (with the volume constraint fixing the zero mode), the curvature response is the unique minimizer of a strongly convex slice functional FΣ(·;J), and we give a constructive Gorini–Kossakowski–Lindblad–Sudarshan Gibbs-sampler dynamics whose stationary distribution concentrates near this minimizer. At the level of entire histories, we define canonical energy as the second variation of relative entropy, coinciding with quantum Fisher information for coupled perturbations, and derive stability criteria and refinement/triangulation-compatibility results under boundedness and commuting-locality assumptions. Within a stated scope—scalar curvature surrogates and finite-dimensional Markovian generators—gTRQC is positioned not as quantum gravity but as a simulation-ready backreaction architecture relevant, e.g. to non-inertial quantum sensing and gravimetry.</description>
      <author>Javier Villalba-Díez; Claudia Nuber; Joaquín Ordieres-Meré</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/259</guid>
      <pubDate>Wed, 15 Apr 2026 12:48:49 +0200</pubDate>
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      <title>Förderung der Adhärenz kardiologischer Rehabilitation</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/163</link>
      <description>Dieser Cochrane Review untersucht die Wirksamkeit von unterschiedlichen Interventionen, die auf eine Förderung der Inanspruchnahme und Adhärenz kardiologischer Rehabilitationen abzielen.</description>
      <author>Mareike Hechinger; Andrea Kobleder</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/163</guid>
      <pubDate>Tue, 07 Apr 2026 07:31:51 +0200</pubDate>
    </item>
    <item>
      <title>Vielfalt an Qualifikationen nutzen</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/162</link>
      <description>Immer mehr Absolventen von Pflegestudiengängen suchen auf dem Arbeitsmarkt nach neuen Aufgabenfeldern. Die ambulante Pflege kann dieses Potenzial nutzen. Im ambulanten Pflegedienst Hechinger Pflege GmbH werden Bachelor-Absolventen zur Steuerung des Pflegeprozesses eingesetzt. Dadurch bleibt mehr Zeit für die Patienten.</description>
      <author>Mareike Hechinger</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/162</guid>
      <pubDate>Tue, 07 Apr 2026 07:27:25 +0200</pubDate>
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      <title>Trump digs votes: the role of Trump’s coal campaign in the 2016 presidential election</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/256</link>
      <description>In this paper, we investigate the relationship between Donald Trump’s coal-focused campaign during his race for the White House and the outcome of the 2016 presidential election. First, we document an increase in the Republican Party’s vote share in coal counties from 2016 onwards, relative to previous presidential elections. Subsequently, we employ a spatial Durbin Error model to estimate the relationship between coal production and the Republican vote share at the county level in the 2016 U.S. Presidential Election. To avoid biased estimates, we account for spillover effects and apply spatial clustering. Our results reveal a sudden increase in the Republican vote share in coal counties in 2016, associated with the campaign pledge. When considering both the size of coal production, which varies across coal counties, and spillover effects, we again find a significant positive relationship. This effect becomes even more pronounced when using the vote-share difference between Mitt Romney in 2012 and Donald Trump in 2016 as the dependent variable. The positive relationship between coal production and Republican vote share remains robust after accounting for nonlinearities and when coal production per worker and per hour worked are employed as the main explanatory variables.</description>
      <author>Philipp Steinbrunner; Marina Di Giacomo; Wolfgang Nagl</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/256</guid>
      <pubDate>Wed, 01 Apr 2026 12:51:33 +0200</pubDate>
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      <title>Design and Prototype Implementation of the Next Generation Vector Map Rendering Stack with a Special Focus on Web Maps</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/177</link>
      <description>Digital maps are deeply integrated into modern life, underpinning navigation, location-based services, and logistics. Many widely used mapping applications rely on the openly available, planetscale OpenStreetMap (OSM) dataset. For managing, processing, and visualizing such geospatial data, the technology stack developed by Mapbox and its open-source forks maintained by the MapLibre organization are widely considered state-of-the-art, as evidenced by their adoption at major technology companies including Amazon, Meta, and Microsoft. However, core components of this stack were designed nearly a decade ago and no longer fully exploit the capabilities of contemporary hardware, modern APIs, or the demands posed by rapidly growing geospatial data volumes. &#13;
This paper presents an overview of ongoing doctoral research that designs and partially implements a next-generation vector map rendering stack for the web. The research makes three primary contributions. First, it introduces COMTiles, a cloud-optimized tile container format that significantly reduces cloud access charges. Second, it presents MLT, a column-oriented vector tile format that employs lightweight compression to achieve high compression ratios while enabling fast decoding. Third, the work proposes the design of a novel GPU-driven web map renderer based on WebAssembly and WebGPU, detailing an execution model and optimization strategies that combine SIMD-based processing in WebAssembly with offloading of the vector tile processing pipeline to the GPU. Preliminary evaluations on planet-scale OSM data demonstrate cloud hosting cost reductions of approximately three orders of magnitude compared to software-as-a-service offerings, alongside encoded tile sizes up to six times smaller than Mapbox Vector Tiles with faster decoding. Together, these results indicate substantial potential for improved user experience, reduced latency, and more cost-effective delivery of large-scale vector basemaps.</description>
      <author>Markus Tremmel; Roland Zink</author>
      <category>bookpart</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/177</guid>
      <pubDate>Fri, 13 Mar 2026 14:02:46 +0100</pubDate>
    </item>
    <item>
      <title>Domain-Specific Language for Context-Aware Mobile Business Processes</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/176</link>
      <description>The increasing ubiquity of mobile devices and context-aware applications has introduced new challenges in integrating contextual information into business process modeling. Standard modeling languages such as Business Process Model and Notation (BPMN) and Event-driven Process Chain (EPC) lack the expressiveness to adequately represent context capture, aggregation, and evaluation. This research addresses this gap by developing a domain-specific modeling language (DSML) named SenSoMod, designed to model mobile context-aware business processes. The study follows the design science research approach to iteratively develop and evaluate the DSML and its integration with standard modeling languages. SenSoMod introduces graphical notations for various sensor types—physical, virtual, and computed—and enables detailed modeling of context influences. A minimal extension to BPMN allows seamless linkage between business processes and contextual models. The DSML is supported by a modeling tool built with Obeo Designer, which includes a code generator for Java-based implementations. An empirical evaluation with 29 participants demonstrated that SenSoMod significantly improves learnability and effectiveness in modeling context-aware processes compared to conventional approaches. This research contributes a novel, lightweight, and extensible modeling framework that enhances the visualization and implementation of context-aware mobile applications in business environments.</description>
      <author>Julian Dörndorfer</author>
      <category>bookpart</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/176</guid>
      <pubDate>Fri, 13 Mar 2026 14:02:28 +0100</pubDate>
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    <item>
      <title>Promotionsrecht an Bayerischen Hochschulen für Angewandte Wissenschaften - Das Promotionszentrum DigiTech</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/174</link>
      <description>Seit Inkrafttreten des Bayerischen Hochschulinnovationsgesetzes (BayHIG) im August 2022 können bayerische Hochschulen ein fachlich begrenztes Promotionsrecht erhalten. Voraussetzung ist der Nachweis einer entsprechenden Forschungsstärke, die durch professionale Mitglieder und deren Drittmittelprojekte sowie Publikationen nachgewiesen wird. Das Promotionszentrum Digitale Technologien und ihre Anwendung (DigiTech) wurde im Frühjahr 2023 von der Technischen Hochschule Deggendorf, der Technischen Hochschule Augsburg sowie der Hochschule für angewandte Wissenschaften Landshut beantragt und im September 2023 genehmigt. DigiTech verbindet technologie- und anwendungsorientierte Forschung, um gesellschaftliche, wirtschaftliche und ökologische Probleme zu lösen. Stand Januar 2026 gehören 41 professorale Mitglieder und 71 Promovierende DigiTech an. In der nun eröffneten Bandreihe „Proceedings of the Doctoral Colloquium DigiTech“ sind die, im Rahmen der strukturierten Promotion geforderten Forschungsskizzen des Zwischenberichts als wissenschaftliche Beiträge oder Kurzabstracts publiziert. Die Proceedings zeigen damit die inhaltliche Ausrichtung des gesamten Promotionszentrums.</description>
      <author>Roland Zink; Eva Lermer; Holger Timinger</author>
      <category>bookpart</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/174</guid>
      <pubDate>Fri, 13 Mar 2026 14:01:49 +0100</pubDate>
    </item>
    <item>
      <title>Right to Award Doctorates at Bavarian Universities of Applied Sciences - The Docotral Centre DigiTech</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/175</link>
      <description>Since the enactment of the Bavarian Higher Education Innovation Act (BayHIG) in August 2022, Bavarian Universities of Applied Sciences have been able to obtain a subject-specific right to award doctorates. A prerequisite is the demonstration of appropriate research strength, evidenced by professorial members and their third-party funded projects, as well as publications. The Doctoral Centre for Digital Technologies and their Application (DigiTech) was applied for by the Deggendorf Institute of Technology, the Technical University of Applied Sciences Augsburg, and Landshut University of Applied Sciences in the spring of 2023 and approved in September 2023. DigiTech combines technology- and application-oriented research to address societal, economic, and ecological challenges. As of January 2026, DigiTech has 41 professorial members and 71 doctoral students. The newly launched series "Proceedings of the Doctoral Colloquium DigiTech" publishes the research outlines required for the structured doctoral process in the form of scientific contributions or short abstracts for the interim reports. The proceedings thus reflect the thematic orientation of the entire doctoral centre.</description>
      <author>Roland Zink; Eva Lermer; Holger Timinger</author>
      <category>bookpart</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/175</guid>
      <pubDate>Fri, 13 Mar 2026 14:01:25 +0100</pubDate>
    </item>
    <item>
      <title>Proceedings of the Doctoral Colloquium DigiTech</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/173</link>
      <description/>
      <author/>
      <category>conferenceobject</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/173</guid>
      <pubDate>Fri, 13 Mar 2026 14:00:25 +0100</pubDate>
    </item>
    <item>
      <title>Comparing image quality of synchrotron and laboratory nano-CT scans: a round robin study</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/224</link>
      <description>This study presents a comprehensive comparison of image quality between synchrotron-based and laboratory-based nano-computed tomography (nano-CT) systems, using a standardized 3D test phantom composed of monodisperse silica spheres. A round-robin approach was employed across multiple international facilities to benchmark performance across various imaging modalities and setups, including absorption and phase contrast techniques. Image quality was quantitatively assessed using three-dimensional signal-to-noise ratio (SNR3D), detection effectiveness (DE3D) and modulation transfer function (MTF3D) metrics. The results reveal that, while synchrotron-based nano-CT consistently delivers superior spatial resolution and shorter scan times, laboratory-based systems demonstrate competitive image quality at the cost of extended acquisition durations. Beyond the experimental comparison, the main contribution of this work is a standardized, open-source analysis framework that quantifies nano-CT image quality using SNR3D, DE3D and MTF3D of a specific phantom. This combination of metrics provides a reproducible basis for cross-platform benchmarking of synchrotron and laboratory nano-CT implementations and can be readily applied to future instruments.</description>
      <author>Simon Wittl; Simon Zabler; Jonas Fell; Julie Villanova; Pierre Lhuissier; Stefanie Hildebrandt; Hans-Georg Herrmann</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/224</guid>
      <pubDate>Mon, 02 Mar 2026 12:33:25 +0100</pubDate>
    </item>
    <item>
      <title>Resource-Efficient Telemetry-Based Condition Monitoring with Digitally Configurable DC/DC Converters and Embedded AI</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/222</link>
      <description>Digitally configurable DC/DC converters provide built-in telemetry signals that offer new opportunities for operational data-driven monitoring in embedded energy systems. However, exploiting these signals for intelligent condition monitoring remains challenging due to limited computational resources and the need to preserve the safety and determinism of power supply control. This work investigates the combination of digitally configurable DC/DC converters and embedded artificial intelligence for resource-efficient load and condition monitoring based exclusively on converter-side power telemetry. A lightweight, feature-based current analysis pipeline is proposed, incorporating domain-informed temporal and electric features. Three representative machine learning model classes, Random Forest, Support Vector Machine, and a Neural Network, are evaluated. The approach is implemented on an ESP32-class microcontroller operating as a dedicated monitoring unit, fully separated from the safety-critical power supply control. Experimental validation on a laboratory demonstrator shows that classification accuracies of up to 99% can be achieved for four system states using only five features at a 100 Hz telemetry sampling rate, while remaining within typical embedded memory constraints. The results demonstrate that converter-internal telemetry enables effective and scalable condition monitoring without additional sensors, supporting the combination of embedded intelligence and digitally configurable power supplies for industrial applications.</description>
      <author>Andreas Federl; Markus Böhmisch; Valentin Sagstetter; Gerhard Fischerauer; Robert Bösnecker</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/222</guid>
      <pubDate>Mon, 02 Mar 2026 10:47:18 +0100</pubDate>
    </item>
    <item>
      <title>Beyond Attention: Hierarchical Mamba Models for Scalable Spatiotemporal Traffic Forecasting</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/221</link>
      <description>Traffic forecasting in cellular networks is a challenging spatiotemporal prediction problem due to strong temporal dependencies, spatial heterogeneity across cells, and the need for scalability to large network deployments. Traditional cell-specific models incur prohibitive training and maintenance costs, while global models often fail to capture heterogeneous spatial dynamics. Recent spatiotemporal architectures based on attention or graph neural networks improve accuracy but introduce high computational overhead, limiting their applicability in large-scale or real-time settings. We propose HiSTM (Hierarchical SpatioTemporal Mamba), a spatiotemporal forecasting architecture built on state-space modeling. HiSTM combines spatial convolutional encoding for local neighborhood interactions with Mamba-based temporal modeling to capture long-range dependencies, followed by attention-based temporal aggregation for prediction. The hierarchical design enables representation learning with linear computational complexity in sequence length and supports both grid-based and correlation-defined spatial structures. Cluster-aware extensions incorporate spatial regime information to handle heterogeneous traffic patterns. Experimental evaluation on large-scale real-world cellular datasets demonstrates that HiSTM achieves better accuracy, outperforming strong baselines. On the Milan dataset, HiSTM reduces MAE by 29.4% compared to STN, while achieving the lowest RMSE and highest R2 score among all evaluated models. In multi-step autoregressive forecasting, HiSTM maintains 36.8% lower MAE than STN and 11.3% lower than STTRE at the 6-step horizon, with a 58% slower error accumulation rate compared to STN. On the unseen Trentino dataset, HiSTM achieves 47.3% MAE reduction over STN and demonstrates better cross-dataset generalization. A single HiSTM model outperforms 10,000 independently trained cell-specific LSTMs, demonstrating the advantage of joint spatiotemporal learning. HiSTM maintains best-in-class performance with up to 30% missing data, outperforming all baselines under various missing data scenarios. The model achieves these results while being 45× smaller than PredRNNpp, 18× smaller than xLSTM, and maintaining competitive inference latency of 1.19 ms, showcasing its effectiveness for scalable 5/6G traffic prediction in resource-constrained environments.</description>
      <author>Zineddine Bettouche; Khalid Ali; Andreas Fischer; Andreas Kassler</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/221</guid>
      <pubDate>Fri, 27 Feb 2026 15:32:49 +0100</pubDate>
    </item>
    <item>
      <title>Probabilistic Safe Zone Mapping for S1 Screw Placement Using 1000 Lumbosacral CT Scans: A Study Protocol for a Bilateral, Two-Rater, Multi-Offset Anatomical Modeling Study</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/220</link>
      <description>Background/Objectives: &#13;
Safe placement of sacral vertebra 1 (S1) screws is essential in lumbosacral instrumentation and iliosacral fixation. Existing anatomical safe zones are largely based on averaged geometry and do not provide quantitative probability estimates for permissible deviations from an ideal entry point. This study aims to develop a probabilistic, computed tomography–based (CT-based) safe zone model for S1 screw placement. &#13;
&#13;
Methods: &#13;
This retrospective imaging-based anatomical modeling study will analyze 1000 anonymized lumbosacral CT scans. A reproducible reference entry point will be defined on the lateral S1 projection, and bilateral offset-based virtual screw trajectories will be evaluated. Two independent raters will classify each trajectory as intraosseous or extraosseous. Probabilistic safety maps will be generated by aggregating binary classifications across offsets and directions. Interobserver reliability will be assessed using Cohen’s kappa, and anatomical influences will be analyzed using multivariable regression models. &#13;
&#13;
Results: &#13;
The study is expected to generate continuous probabilistic safety maps illustrating the likelihood of intraosseous S1 screw placement across predefined offset distances and directions from the reference entry point. These maps are anticipated to demonstrate a gradual transition from high to low safety probabilities rather than a binary safe–unsafe boundary, and to identify anatomical factors influencing screw containment. &#13;
&#13;
Conclusions: &#13;
This protocol describes a CT-based probabilistic modeling approach to S1 screw placement that aims to provide a more nuanced and quantitative definition of anatomical safe zones. If successful, the proposed method may improve preoperative planning and intraoperative decision-making by moving beyond averaged geometric constraints toward probability-informed screw placement.</description>
      <author>Nikolai Ramadanov; Robert Hable; Simon Zabler; Linus Michael; Roland Becker</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/220</guid>
      <pubDate>Fri, 27 Feb 2026 15:00:39 +0100</pubDate>
    </item>
    <item>
      <title>Data-Efficient Polymer Classification Using Spectra Simulation and Bayesian Optimization</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/219</link>
      <description>Plastic recycling represents an essential element of strategies aimed at lowering global carbon emissions while supporting a circular plastics economy. However, the effectiveness of current plastic sorting systems remains limited by data scarcity, spectral variability, and the complexity of real world waste streams. This study introduces a CNN-based polymer classification framework that integrates physics-informed spectral simulation, adaptive data augmentation, and Bayesian hyperparameter optimization to enable robust classification under data limited conditions. Our framework combines near-infrared (NIR) spectral data from technical scale measurements with synthetically generated spectra. With only 100 measured spectra per polymer, the proposed framework achieves average balanced accuracies of 0.9739 in multi-target polymer classification tasks. By using technical scale spectral data, this study bridges the gap between laboratory model development and real sorting conditions.</description>
      <author>Alexander Pletl; Roman-David Kulko; Andreas Hanus; Benedikt Elser</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/219</guid>
      <pubDate>Fri, 27 Feb 2026 14:51:06 +0100</pubDate>
    </item>
    <item>
      <title>Emergency Detection in Smart Homes Using Inactivity Score for Handling Uncertain Sensor Data</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/218</link>
      <description>In an aging society, the need for efficient emergency detection systems in smart homes is becoming increasingly important. For elderly people living alone, technical solutions for detecting emergencies are essential to receiving help quickly when needed. Numerous solutions already exist based on wearable or ambient sensors. However, existing methods for emergency detection typically assume that sensor data are error-free and contain no false positives, which cannot always be guaranteed in practice. Therefore, we present a novel method for detecting emergencies in private households that detects unusually long inactivity periods and can process erroneous or uncertain activity information. We introduce the Inactivity Score, which provides a probabilistic weighting of inactivity periods based on the reliability of sensor measurements. By analyzing historical Inactivity Scores, anomalies that potentially represent an emergency can be identified. The proposed method is compared with four related approaches on seven different datasets. Our method surpasses existing approaches when considering the number of false positives and the mean time to detect emergencies. It achieves an average detection time of approximately 05:23:28 h with only 0.09 false alarms per day under noise-free conditions. Moreover, unlike related approaches, the proposed method remains effective with noisy data.</description>
      <author>Sebastian Wilhelm; Florian Wahl</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/218</guid>
      <pubDate>Fri, 27 Feb 2026 14:32:29 +0100</pubDate>
    </item>
    <item>
      <title>Performance Impact of Nested Congestion Control on Transport-Layer Multipath Tunneling</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/217</link>
      <description>Multipath wireless access aims to seamlessly aggregate multiple access networks to increase data rates and decrease latency. It is currently being standardized through the ATSSS architectural framework as part of the fifth-generation (5G) cellular networks. However, facilitating efficient multi-access communication in next-generation wireless networks poses several challenges due to the complex interplay between congestion control (CC) and packet scheduling. Given that enhanced ATSSS steering functions for traffic splitting advocate the utilization of multi-access tunnels using congestion-controlled multipath network protocols between user equipment and a proxy, addressing the issue of nested CC becomes imperative. In this paper, we evaluate the impact of such nested congestion control loops on throughput over multi-access tunnels using the recently introduced Multipath DCCP (MP-DCCP) tunneling framework. We evaluate different combinations of endpoint and tunnel CC algorithms, including BBR, BBRv2, CUBIC, and NewReno. Using the Cheapest Path First scheduler, we quantify and analyze the impact of the following on the performance of tunnel-based multipath: (1) the location of the multi-access proxy relative to the user; (2) the bottleneck buffer size, and (3) the choice of the congestion control algorithms. Furthermore, our findings demonstrate the superior performance of BBRv2 as a tunnel CC algorithm.</description>
      <author>Marcus Pieska; Andreas Kassler; Anna Brunstrom; Veselin Rakocevic; Markus Amend</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/217</guid>
      <pubDate>Fri, 27 Feb 2026 14:22:51 +0100</pubDate>
    </item>
    <item>
      <title>Pre- and Post-Operative Quality of Life in Patients with Osteoradionecrosis of the Jaw</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/216</link>
      <description>Osteoradionecrosis of the jaw (ORNJ) is a feared complication following radiation therapy performed for oncological treatment of head and neck cancers (HNC). To date, there is no clear evidence regarding the impact of surgical treatment of ORNJ on the quality of life (QoL) of affected patients. However, understanding the significance of the surgical treatment approach and its effects on QoL is an essential factor in the decision-making process for optimal, individualized therapy. In this prospective clinical study, QoL was assessed in relation to health related QoL (HRQoL) and oral health related QoL (OHQoL) before and after surgical treatment of ORNJ using standardized questionnaires (EORTC QLQ-C30, QLQ-HN35, OHIP-14). The overall QoL scores as well as individual domains of the collected scales regarding functional and symptom-related complaints were statistically analyzed. Subgroups concerning age, gender, different risk factors and type of ORNJ therapy were compared using Kruskal Wallis test. In addition, clinical and demographic patient data were collected and analyzed. QoL improvement correlated with the type of surgical ORNJ and the length of hospitalization. Better QoL scores were achieved post-operatively regarding different symptoms like pain, swallowing and mouth opening. Long-term effects of radiation therapy remained visibly restrictive to QoL and worsen over time.</description>
      <author>Sven Otto; Shreeja Shreeja; Sara Carina Kakoschke; Mohammed Michael Albittar; Andreas Widenhorn; Tamara Katharina Kakoschke</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/216</guid>
      <pubDate>Fri, 27 Feb 2026 14:03:20 +0100</pubDate>
    </item>
    <item>
      <title>Modeling a Solenoid Driver with Nonlinear Inductive Load Using Circuit Simulation and Magnetic Flux Measurement</title>
      <link>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/215</link>
      <description>This paper describes the procedure for creating a electronic simulation model of a solenoid power electronic driver with a nonlinear inductive load. Furthermore, it discusses the electromagnetic interaction between the driver and the load example electromagnetic valve. The consideration of nonlinear effects in the power electronic components MOSFET and diode is particularly important to distinguish their effects from the nonlinear behaviour of the inductive load.</description>
      <author>Tobias Hofbauer; Frank Denk</author>
      <category>article</category>
      <guid>https://opus4.kobv.de/opus4-thd/frontdoor/index/index/docId/215</guid>
      <pubDate>Fri, 27 Feb 2026 13:54:50 +0100</pubDate>
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