OPUS documents https://libdoc.whz.de/opus4/index/index/ Mon, 30 Mar 2026 12:03:00 +0200 Mon, 30 Mar 2026 12:03:00 +0200 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19271 Tom A. Schröder; Philipp Sembdner; Erik Selbmann; Uwe Teicher; Korn Paula; Michaela Buckova; Farahzadi Samaneh; Pradel Winnie; Günter Lauer; Anas Ben Achour article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19271 Mon, 30 Mar 2026 12:03:00 +0200 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19122 The growing demand for sustainable and biodegradable materials for biomedical and environmental applications have driven significant research into polymer foams. This study investigates the impact of hydrothermal pretreatment on the expansion behaviour of poly(D,L-lactide-co-glycolide) (PLGA, 75:25) composites foamed using supercritical carbon dioxide (scCO2) with the addition of three mineral fillers Wollastonite, Rice husk ash and Bentonite at concentrations of 25 and 33.3 wt.%. PLGA composites underwent two processing routes: direct foaming and hydrothermal pretreatment followed by foaming. The expansion efficiency, pore morphology, and structural stability were systematically evaluated through volumetric analysis and scanning electron microscopy. Results indicated a notable improvement in foam expansion and pore uniformity for composites subjected to hydrothermal treatment + foaming, particularly with wollastonite and bentonite as additives. Hydrothermal pretreatment facilitated CO2 diffusion and enhanced nucleation, generating more uniform and interconnected porous structures. However, samples containing rice husk ash exhibited variable responses, achieving the highest overall expansion factor without HT pretreatment, suggesting complex filler-polymer interactions. This study demonstrates that hydrothermal pretreatment, combined with carefully selected mineral additives, significantly influences the structural and expansion characteristics of PLGA foams. These findings advance the design and fabrication of biodegradable porous materials with tailored properties for targeted biomedical and environmental applications. Marco Adrian Pelaez Vera masterthesis https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19122 Thu, 26 Mar 2026 11:24:24 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19113 Limiting global warming to 1.5°c above pre-industrial levels requires rapid and comprehensive reductions in greenhouse gas (GHG) emissions across all sectors of the economy. Within the European Union (EU), the Emissions Trading System (EU ETS) constitutes the cornerstone of climate mitigation policy, however, its sectoral scope remains incomplete. Voluntary Carbon Markets (VCMs) have therefore come out as an additional mechanism, helping corporations and other actors to finance emission reduction and removal projects beyond regulatory obligations. Despite their growing popularity, the actual contribution of VCMs to EU decarbonization objectives remains questionable. This thesis checks deep into the role played by voluntary carbon markets (VCMs) in helping the EU achieve its decarbonization goals. It explores whether these markets can efficiently work alongside compliance-based mechanisms such as EU ETS without compromising their integrity. To do this, the research combines various methods, including a comprehensive review of existing literature, a comparison and analysis of trends in carbon credit issuance and pricing with the compliance emission certificates, a survey of stakeholders, and an interview with a stakeholder. The findings show that VCMs can create additional opportunities for reducing emissions, especially in areas not fully addressed by the EU’s Emissions Trading System, like agriculture, land use, and smaller industrial operations. However, there are challenges that limit their effectiveness, such as price volatility, inconsistent standards, and transparency issues. There are also concerns about whether these credits truly help to have additional reductions and risk double counting. The decentralized nature of these markets increases the possibility of greenwashing, particularly when offsets are used to avoid direct emissions reductions instead of serving as a complementary measure. Stakeholder feedback reveals a need for better alignment between voluntary and compliance markets. In this light, initiatives like the Integrity Council for the Voluntary Carbon Market and the EU Carbon Removal Certification Framework are viewed as crucial steps toward enhancing credibility and coherence with EU climate strategies. The scenario-based analysis indicates that adopting a regulatory approach putting emphasis on high-quality credits, along with monitoring, reporting and verification (MRV) measures, could increase the positive role of VCMs without undermining the EU’s existing compliance mechanisms. In conclusion, the thesis argues that voluntary carbon markets should not be seen as a substitute for mandatory climate policies. Instead, when effectively governed, they have the potential to be a valuable instrument to improve private investment, encourage innovation, and support the EU’s ambitious goal of achieving climate neutrality by 2050. Varghese Antony masterthesis https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19113 Thu, 26 Mar 2026 11:18:54 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19117 The Bundesstraße B80 in Halle (Saale) includes an elevated roadway between the Saale River crossing and the Waisenhautapotheke intersection, which the city plans to replace with a groundlevel configuration. This master’s thesis evaluated the traffic performance of alternative groundlevel design concepts in order to identify an optimal solution. Two design alternatives, a large roundabout encompassing the study area and an at-grade variant of a Diverging Diamond Interchange (DDI), were developed and analyzed using LISA+ and PTV VISSIM traffic simulation software. Both design variants accommodated the projected traffic demand without significant congestion. The roundabout achieved a Level of Service (LOS) of E or better for vehicles and pedestrians, while the at-grade DDI achieved an LOS of D or better. Simulation results demonstrated the operational feasibility of both alternatives. However, a comparative performance assessment in terms of journey time, number of stops and vehicle delay indicated that the at-grade DDI overall outperformed the large roundabout in terms of overall traffic efficiency. Muhammad Rufaid Peerzada masterthesis https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19117 Thu, 26 Mar 2026 10:15:19 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19255 Azamat Berdibekov; Ilona Bordiyanu; Hans-Christian Brauweiler; Aidar Mambetkaziyev; Victoriya Nepshina article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19255 Mon, 23 Mar 2026 07:02:19 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19203 D. Schulz; Roman Gebauer; Daniel Franke; Ingo Dähnert; Christian Paech; S. Klehs article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19203 Mon, 02 Mar 2026 14:24:42 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19135 Stefan Kolev bookpart https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19135 Mon, 02 Feb 2026 09:57:00 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19133 Stefan Kolev bookpart https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19133 Mon, 02 Feb 2026 09:50:34 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19132 Stefan Kolev bookpart https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19132 Mon, 02 Feb 2026 09:43:30 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19131 Fabian Dietrich; Stefanie Liebl; Marcus Löffler; Torsten Merkel bookpart https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19131 Mon, 02 Feb 2026 08:47:01 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/18961 The thesis examines the enhancement of public transport efficiency through Cooperative Intelligent Transport Systems (C-ITS) services, particularly Traffic Signal Priority (TSP) and Green Light Optimal Speed Advisory (GLOSA). The study analyzes two intersections (4505 and 8705) along Ring Bus Line 82, based on real-time traffic signal data provided by the City of Chemnitz. The primary aim is to evaluate the feasibility of TSP and GLOSA at these intersections. The findings reveal that both intersections are operated under an adaptive signal control system in which intersection 4505 exhibits high variability in signal durations. Furthermore, the analysis suggests that the TSP can be applied at both studied intersections, utilizing traffic signal control strategies such as early green, red truncation, phase insertion, etc. GLOSA, on the other hand, can be implemented in an adaptive signal control system with a suitable prediction engine to predict the green signal status in advance. The thesis's most valuable contribution is the implementation of an LSTM deep learning signal prediction model in Python, achieving an average accuracy of 95.7 %. The study concludes that incorporating an Artificial Intelligence (AI)-supported predictive model, as well as the Transformer deep learning technique, can further enhance real-time signal prediction and thereby improve traffic efficiency. Basil Baby masterthesis https://libdoc.whz.de/opus4/frontdoor/index/index/docId/18961 Thu, 29 Jan 2026 13:21:58 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19095 Shengyue Tan; Dongqian Wang; Yongliang Liu; Yonglin Cai; Jia Wei; Lei Wang; Uwe Teicher; Albrecht Hänel; Steffen Ihlenfeldt; Zhiqiang Liang article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19095 Mon, 26 Jan 2026 07:48:10 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19073 In today’s rapidly evolving commercial landscape, manufacturing enterprises face significant challenges in maintaining resilience amid disruptions such as pandemics, natural disasters, and geopolitical conflicts. To address these challenges, we introduce a novel GPT-based early detection tool designed for real-time supply chain risk assessment. This system integrates proprietary company data, including supply chain portfolios, with publicly available information, such as news articles, to estimate risk scores for respective supply chains, thereby enhancing decision-making processes. Leveraging advanced machine learning techniques–Generative Pretrained Transformers (GPT), zero-shot learning, and structured outputs–the tool operates locally to ensure data privacy and minimize information leakage. Utilizing the "news-please" crawler and the "Llama 3.1" GPT model, the system continuously monitors selected media sources, providing timely risk assessments. Our research demonstrates the tool’s potential to enhance proactive risk management in supply chains, validated through testing on both real and augmented datasets. By evaluating four exemplary supply chains, we characterize the tool’s capability to support decision-making in unpredictable global environments. The results indicate that, while the system occasionally exhibits oversensitivity, it consistently aids in identifying critical events that may impact supply chain operations. Future developments will focus on refining the tool’s accuracy and expanding its applications, particularly in monitoring regulatory changes. Adrian Jacob; Anas Ben Achour; Uwe Teicher article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19073 Mon, 19 Jan 2026 07:31:29 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19071 Background: The use of generative AI, as represented by ChatGPT, holds promising potential for nursing education. This manifests itself in various areas, including personalized learning, simulation training and teaching process support. However, its integration requires careful consideration of ethical implications, adaptation of curricula and a high level of digital competence on the part of teachers. Only in this way can potential risks, such as the distortion of knowledge, bias and educational inequalities, be avoided. Methods: Relevant publications were identified between 2019 and 2025 as part of a comprehensive literature search in the specialist databases PubMed, Embase, CINAHL and Scopus. The search was conducted using combined search terms that included the terms “generative AI”, “ChatGPT” and “nursing”. After removing duplicates and screening (PRISMA-guided), 140 full texts were analysed and divided into two publications. This rapid overview focuses on the topic of generative AI in nursing education. Results: As part of the analysis of the included studies, five thematic areas were identified, which were divided into the categories of nursing education, competence development and nursing skills, implementation possibilities, examination quality and ethical considerations, and evaluated. A key theme is the dual potential of this technology: it can enrich learning through features such as virtual tutors and improved exam preparation, but it also requires critical consideration of ethical issues such as plagiarism, data bias and the need for human oversight. Outlook: In this context, the conclusion emphasises the urgent need to adapt curricula and provide targeted further training for teachers so that GenAI can be used responsibly and effectively—rather than, as is often the case at present, by banning it altogether. Laura Hinsche; Martina Hasseler; Tim Tischendorf; Tom Schaal article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19071 Mon, 19 Jan 2026 06:57:38 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19058 In this paper the application of Active Disturbance Rejection Control (ADRC) for discrete-time field-oriented PMSM current control is discussed. ADRC offers an interesting alternative to established current control algorithms due to the considerably simplified control engineering process. After introducing the ADRC approach and the plant model, the possibilities for tuning the controller and the comprised state space observer are examined in detail. In particular, the adequate consideration of the modulator delay in the ADRC’s extended state observer is investigated, leading to a new ADRC current control algorithm. This allows a parameterization for very fast dynamics, so that almost deadbeat behavior is achievable. All investigations are validated by means of practical measurements. Tobias Schillinger; Gernot Herbst; Thomas Schuhmann; Tobias Zaiczek bookpart https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19058 Fri, 16 Jan 2026 07:14:50 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19053 In this paper, the authors present a freely accessible resource covering German light verb constructions from the domain of administrative and business language (such as “Bericht erstatten” (to report)) together with their associated verb frames (in particular objects and governing prepositions). These constructions, which in many cases represent overly complex and difficult-to-read language, are joined within the same resource by simple verbs, also together with their respective verb frames. This not only provides a type of thesaurus for light verb constructions that can assist in text simplification, but the documented verb frames can also support the automatic generation of grammatically correct suggestions for simpler textual alternatives. (Abstract ist formal geringfügig verändert gegenüber dem Original.) Ralf Laue conferenceobject https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19053 Thu, 15 Jan 2026 14:35:37 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19051 Marika Kaden; Ronny Schubert; Tina Geweniger; Wieland Hermann; Thomas Villmann bookpart https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19051 Thu, 15 Jan 2026 11:59:23 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19060 Dongqian Wang; Chen Liu; Yonglin Cai; Uwe Teicher; Albrecht Hänel; Steffen Ihlenfeldt article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19060 Thu, 15 Jan 2026 07:22:26 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/18870 This study investigates the hybrid integration of adsorption and microfiltration for arsenic removal from water, combining ferric oxyhydroxide adsorbents (Ferrosorp DGp and DG⁺) with polymeric membranes (UPS-150, Novamem, and 1FM 3M). Batch adsorption experiments were conducted using arsenate solutions of varying concentrations and contact times to assess the equilibrium uptake behaviour of both adsorbents. Results demonstrated that Ferrosorp DGp exhibited a higher maximum adsorption capacity and stronger surface affinity for As(V), whereas Ferrosorp DG⁺ showed faster kinetics consistent with the pseudo-second-order model, indicating chemisorption dominance. Complementary membrane filtration tests were performed in a dead-end stirred cell under three conditions—pure water, Oxide with Stirring, and Oxide without Stirring—at a constant transmembrane pressure of 200 mbar. The study revealed that stirring markedly reduced fouling and enhanced flux stability, while non-stirred operation caused permeability declines depending on membrane and oxide type. Among the membranes tested, 1FM 3M displayed the highest intrinsic permeability and strongest resistance to fouling, followed by UPS-150 and Novamem. The integration of adsorption and microfiltration demonstrated that Ferrosorp DGp ensures effective arsenate removal, while 1FM 3M offers superior hydraulic performance, making this combination the most promising for decentralized, low-pressure treatment applications. The results confirm that coupling adsorption with microfiltration provides a sustainable, energy-efficient pathway for producing low-arsenic, low-turbidity water compliant with WHO and EU drinking-water standards. Iwin Jose masterthesis https://libdoc.whz.de/opus4/frontdoor/index/index/docId/18870 Thu, 08 Jan 2026 10:25:35 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19033 Maria Lieber; Ralf Christoph bookpart https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19033 Thu, 08 Jan 2026 09:49:55 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19032 This work presents a comprehensive analysis of the variability and reliability of the resistive switching (RS) behavior in Prussian Blue (a mixed-valence iron(III/II) hexacyanoferrate compound) thin films, used as the active layer. These films are fabricated through a simple and scalable electrochemical process, and exhibit robust bipolar resistive switching, making them suitable both for neuromorphic computing applications and hardware cryptography. A detailed statistical evaluation was conducted over 100 consecutive switching cycles using multiple parameter extraction techniques to assess cycle-to-cycle (C2C) variability in key RS parameters, including set/reset voltages and corresponding currents. One and two-dimensional coefficients of variation (1DCV and 2DCV) were calculated to quantify variability and identify application potential. Results demonstrate moderate variability compatible with neuromorphic computing and cryptographic functionalities, including physical unclonable functions and true random number generation. These findings position Prussian Blue-based memristors as promising candidates for low-cost, stable, and multifunctional memory. Lindiomar Borges Avila; Antonio Manuel Cantudo; Marco A. Villena; David Maldonado Correa; F. Abreu Araujo; Christian K. Müller; Juan B. Roldán preprint https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19032 Wed, 07 Jan 2026 15:08:36 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19027 Additive Manufacturing (AM), also known as rapid prototyping or 3D printing, is widely used across various industries, including medical products and automotive spare parts. The COVID-19 pandemic has further accelerated its adoption to address supply chain disruptions caused by shortages in production resources and logistics constraints. However, as AM integrates into supply chains, structural changes in nodes and data flows create new challenges in information sharing and data standardization. Ontologies have proven effective in enhancing data interoperability and improving information quality through semantic modeling. Despite this, a comprehensive approach that combines AM and logistics ontologies to address cross-domain challenges remains underexplored. This study develops an ontology-based supply chain model for AM by integrating existing AM and logistics ontologies. Using the Design Science Research Methodology (DSRM), the proposed ontology is constructed and instantiated with a sample dataset for validation. The results provide a foundational framework for improving data management and coordination in AM supply chains. Yen Mai; Hannes Hartmann; Ralph Riedel; Christian Zinke-Wehlmann article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19027 Wed, 07 Jan 2026 13:23:19 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19026 Additive manufacturing (AM) revolutionises traditional manufacturing by enabling localised, on-demand production, reducing waste, and enhancing design flexibility. The adoption of the AM method also transforms supply chains (SCs) in several perspectives due to, removing and adding some nodes and arcs. While this transformation offers numerous benefits, it also presents significant challenges in configuring an optimal network for AM SCs, especially when a decentralization network is preferable. In this regard, this study investigates using the network optimisation modelling (NOM) method to optimise decentralised AM SCs. Utilising AnyLogistix software, the study models an AM SC to determine the optimal network configuration that minimises costs while ensuring timely deliveries. It explores the advantages of decentralised production, such as reduced lead times and costs. This study contributes to the growing body of literature by addressing gaps related to NOM in AM contexts, providing valuable insights for practical applications in SC management. Yen Mai; Mario Henrique Callefi; Pierre Grzona; Ralph Riedel; Matthias Thürer article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19026 Wed, 07 Jan 2026 13:19:34 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19018 Smoking remains a prominent preventable health risk in Germany, creating a need for effective cessation interventions. Digital smoking cessation interventions (DSCIs) present promising support for individuals aiming to quit, yet their utilization and acceptance are not thoroughly understood. This study analyzes usage patterns and acceptance levels of DSCIs among smokers, occasional smokers, and former smokers in Germany, focusing on user behavior, acceptance determinants, and the influence of prescription and reimbursement status. An online questionnaire based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was administered to participants. Data were collected through recruitment via social media, email lists, counseling groups, and public postings. The responses were analyzed using SPSS. The study included 173 participants (61.85% female, 37.57% male, 0.58% diverse) with an average age of 35.28 years. They reported smoking for an average of 18.21 years and attempting cessation 3.42 times. Among respondents, 41.62% had used DSCIs, predominantly former smokers (54.17%) and women (79.17%), with the “Smoke Free” app being the most utilized intervention. Although 73.05% expressed willingness to (re)use DSCIs, actual usage showed moderate acceptance levels. Significant predictors of acceptance included willingness to pay (p  = 0.013), self-efficacy (p = 0.018), and physician prescription with clinical evidence (p = 0.019). The results highlight a rising demand for digital solutions focused on long-term smoking cessation, particularly among middle-aged women, emphasizing the need for a deeper understanding of acceptance drivers and model expansions to address healthcare dynamics. Franziska Theile; Tom Schaal; Melanie Mäder; Tonio Schönfelder article https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19018 Tue, 06 Jan 2026 11:22:35 +0100 https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19017 This study investigates the antimicrobial potential of an indirect cold plasma method for the treatment of wounds. Indirect plasma methods differ from direct methods in that the cold plasma does not come into direct contact with the surface to be treated. The indirect plasma method described here has been implemented in the PLASMOHEAL device. The device generates an aerosol of liquid particles, which is conditioned with plasma reaction products and passed over the areas to be treated without contact. In vitro tests show a significant germ reduction of 3.4 to 4.5 log levels against various microorganisms. In vivo tests on volunteers demonstrate a reduction in E. coli contamination of 4.06 to 5.15 log levels. These results show that indirect plasma methods can achieve equivalent effects to direct methods. The highly effective, pain-free treatment at moderate costs make the indirect plasma method a promising option in modern wound care. Ulrich Schmelz; Tom Schaal; Gilbert Hämmerle; Tim Tischendorf preprint https://libdoc.whz.de/opus4/frontdoor/index/index/docId/19017 Tue, 06 Jan 2026 11:10:42 +0100