TY - JOUR T1 - 10/2026 Erste Änderungssatzung zur Prüfungsordnung für den Masterstudiengang Sustainable Development Management der Fakultät Gesellschaft und Ökonomie an der Hochschule Rhein-Waal vom 15.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-10 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23392 VL - 2026 IS - 10 ER - TY - THES A1 - Flakowski, Lena Antonia T1 - Digitale Gesundheitsangebote der Krankenkassen: Einfluss auf die Steuerung des Gesundheitsverhaltens und die medizinische Versorgung aus Sicht der Versicherten N2 - Hintergrund: Die Digitalisierung des Gesundheitswesens schreitet zunehmend voran und digitale Gesundheitsangebote der Krankenkassen gelten als ein wichtiger Ansatz für eine effizientere und nutzerorientierte Gesundheitsversorgung. Trotz ihres großen Potenzials zeigen bisherige Studien, dass diese Angebote bislang nur unzureichend genutzt werden. Außerdem wurde die Perspektive der Versicherten dabei bisher nur begrenzt untersucht. Ziel: Ziel dieser Masterarbeit ist es zu analysieren, wie digitale Gesundheitsangebote der Krankenkassen aus Sicht der Versicherten wahrgenommen werden und welchen Einfluss sie auf die Steuerung des gesundheitsbezogenen Verhaltens sowie auf den Zugang zu der medizinischen Versorgung haben. Dabei stehen insbesondere die Bekanntheit, Nutzung und Bewertung dieser Angebote sowie der Zusammenhang mit der digitalen Gesundheitskompetenz im Fokus. Methodik: Methodisch basiert die Arbeit auf einem Mixed-Methods-Ansatz. Zunächst wurden qualitative leitfadengestützte Interviews mit Versicherten durchgeführt, um ein vertieftes Verständnis individueller Wahrnehmungen und Erfahrungen zu gewinnen. Ergänzend wurde eine Online-Befragung durchgeführt. Die Datenauswertung erfolgte mittels qualitativer Inhaltsanalyse sowie verschiedener statistischer Verfahren. Theoretisch stützt sich die Arbeit unter anderem auf das Health Belief Model, das Technology Acceptance Model sowie das Konzept der eHealth Literacy. Ergebnisse: Die Ergebnisse basieren auf 10 durchgeführten Interviews und 172 ausgefüllten Online-Fragebögen. Es zeigt sich, dass digitale Gesundheitsangebote vielen Versicherten bekannt sind und überwiegend positiv bewertet werden aber die tatsächliche Nutzung hinter der Bekanntheit zurückbleibt. Besonders ausgeprägt ist dieser Unterschied bei Angeboten wie der elektronischen Patientenakte und digitalen Gesundheitsanwendungen. Eine zentrale Rolle für Bekanntheit und Nutzung spielen die digitale Gesundheitskompetenz, die Selbstwirksamkeit sowie externe Hinweise auf die Angebote, insbesondere durch Ärzte. Zudem zeigen sich deutliche Unterschiede zwischen gesetzlich und privat Versicherten. Digitale Gesundheitsangebote werden insgesamt als unterstützend für das Gesundheitsverhalten wahrgenommen und tragen aus Sicht der Versicherten vor allem zu einer schnelleren, jedoch nicht zwingend zu einer einfacheren medizinischen Versorgung bei. Schlussfolgerung: Zusammenfassend verdeutlicht die Arbeit, dass digitale Gesundheitsangebote aus Sicht der Versicherten ein hohes Potenzial zur Unterstützung der Gesundheitsversorgung besitzen. Um dieses Potenzial besser auszuschöpfen, sind jedoch gezielte Maßnahmen erforderlich, insbesondere zur Förderung der digitalen Gesundheitskompetenz, zum Abbau konkreter Nutzungshürden sowie zur stärkeren Integration und Empfehlung digitaler Angebote im Versorgungsalltag. KW - Digitale Gesundheitsangebote KW - Digitalisierung im Gesundheitswesen Y1 - 2026 ER - TY - THES A1 - Müsch, Yannick T1 - Kolmogorov-Arnold-Transformer: Untersuchung hybrider KAN-Transformer-Architekturen im Hinblick auf Skalierung, Effizienz und Interpretierbarkeit N2 - Transformers have become the de-facto standard architecture in Machine Learning, particularly in Natural Language Processing. However, they are computationally expensive to train, with approximately two-thirds of non-embedding parameters residing in Multi-Layer Perceptrons (MLPs). Liu et al. (2024) revisited the long-disregarded Kolmogorov-Arnold representation theorem and demonstrated promising results in specific domains such as symbolic regression and PDE solving. Whether Kolmogorov-Arnold Networks (KANs) generalize to other domains, particularly NLP, remains an open research question. This work systematically evaluates five architecture configurations: MLP baseline, MLP with B-Spline activation, KAN with B-Spline, KAN with Mean aggregation, and Group-Rational KAN (GR-KAN) - across three model sizes (15M, 41M, 124M parameters). Experiments are conducted on text classification (“AG News”) and language modeling (“FineWeb”) tasks. Identical components (attention, embeddings) isolate performance differences to the feed-forward topology. Statistical validity is ensured through multiple random seeds and parameter-matched comparisons. KAN-based architectures achieve performance parity with MLPs on classification tasks (±0.5 percentage points accuracy). However, they consistently underperform on language modeling, with perplexity increases of +7 to +28 points. Training efficiency overhead ranges from 1.5–2.0× for KANs, while GR-KAN approaches baseline speed. Notably, KANs exhibit significantly higher sparsity (≈ 90% vs. ≈ 40%), enabling compression factors of 1.4–1.6× with minimal performance degradation. The MLP+B-Spline control condition reveals that performance deficits stem from KAN topology rather than activation functions. KANs present a viable alternative for discriminative NLP tasks but do not outperform MLPs for generative language modeling. The postulated interpretability advantage through learnable activation functions could not be empirically confirmed - learned functions degenerate to quasi-linear transformations. Future research should explore alternative basis functions and selective hybridization strategies. KW - Kolmogorov-Arnold Networks KW - Transformer KW - hybrid architectures KW - naturallanguage processing KW - language modeling KW - interpretability KW - scaling KW - sparsity KW - B-splines Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23376 ER - TY - THES A1 - Mujaya, Tanaka Peter T1 - Design and Development of a Computer Vision System for detecting Assembly Errors in LEGO Models N2 - This thesis presents the design and development of a computer vision system for detecting assembly errors in LEGO models within The Digital Factory Game, a production simulation exercise at Rhine-Waal University of Applied Sciences. The system automates quality assurance by replacing manual visual inspection with machine learning-based classification, deployed on edge hardware. KW - Computer Vision KW - Machine Learning KW - AI Development KW - YOLO KW - Data Analysis KW - Quality Assurance Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23367 ER - TY - THES A1 - Joseph, Balogun T1 - The Role of Online Marketplaces in Reshaping Agribusiness Sales and Distribution: Evidence from Ibadan and Lagos, Nigeria. N2 - 1.1 Context and Background Online marketplaces are applications or web sites on which products are advertised and sold. They are used in the agricultural sector to bring sellers and buyers together. Farmers advertise about their products and customers give their orders. The payment may be done prior or after delivery. The tools enable farmers to sell without traveling. They also decrease the number of intermediaries. There are sites that allow the customer to rate sellers. There are also people sharing updates on delivery or assisting with tracking goods (Eweoya et al., 2021). Trade in farm goods is evolving in Nigeria, owing to online trade. Most of the farmers would sell in open markets only. The prices were frequently low and middlemen absorbed the better part of the profit (Morepje et al., 2024). It is now easier to connect farmers and buyers by way of mobile phones and enhanced internet. Through online, farmers are able to access directly to homes, stores and even export firms. They save time and minimize wastes because customers do not need to travel in order to make an order. This idea was tested with some of the pioneer platforms in Nigeria (Abubakar et al., 2019). Farmcrowdy began as an initiative to finance small growers and match them with consumers. Agricorp constructed a system to exchange crops such as ginger and grains between states. OjaNow also connects small farms with homes and restaurants who desire fresh food. The services are used to assist farmers in selling more as they remain on their farms. Customers are able to shop and deliver farm products to their front door by making an online order. The platforms also assist the farmers to know what is being demanded as well as the price that the buyers are willing to pay. They operate most of them on basic mobile phones and hence can be used even in places with poor internet connections (Ogbeide-Osaretin and Ebhote, 2020). Online market places have changed the way farmers market their produce because they reach a greater distance than the local area. Most farmers used to sell within their towns only, but now digital platforms enable them to sell to the buyers in such cities 2 like Lagos, Abuja and Ibadan. By using such platforms, they are no longer restricted to set days of the market since sales may be carried out at any given time. This flexibility is time-saving, generates more turnover, and allows farmers to deliver food to a larger group of consumers, such as hotels, stores, and schools (Mani and Singh, 2022). Online tools have also decreased the price of selling farm produce in addition to increasing their markets. Farmers will have the opportunity to self-service their prices and deal directly with buyers by eliminating transport costs and bypassing several intermediaries. This enhanced control on prices does not only enhance their earnings, but also promotes fairness and transparency in trade. Buyers, in their turn, have an advantage of price comparison between various sellers prior to acquiring a particular good, which causes more competitive pricing and low fraud potential (Xiao, et al., 2021). The use of online platforms in integrating with local logistics and transport networks has made delivery much faster. Today many platforms collaborate with professional drivers and delivery crews that provide the delivery of the orders and their transportation at the same time. This has been especially beneficial to perishable products like tomatoes, vegetables, and fruits, whose delivery must be done in a timely manner to preserve their freshness and quality. Consequently, fewer produce is wasted as it goes to waste prior to reaching the consumers hence less waste and the general efficiency of the supply chain. Buyers get healthier and fresher food, and sellers save some money and losses of unsold or spoilt products. This credibility also builds trust between the two parties, as customers get to trust merchants with quality goods, and sellers go out of their way to keep their standards (Agrawal et al., 2021). Farmcrowdy, Thrive Agric, OjaNow, and Agricorp are the ones that have introduced similar systems in Nigeria, where both large-scale and smallholder farmers can engage in an effective and efficient digital trade (Akinwale et al., 2023). Most farmers access them via mobile phones as majority of the applications are phone-based. These sites are very popular in cities where there are greater internet connectivity. They are used by farmers to add the name of crops and buyers to make orders. During harvest, when there is plenty in supply, use is greatest. These tools are more acceptable by young farmers compared to the old. They are also common among traders and restaurants as they require constant supply. Information is also 3 useful on online platforms. Farmers are aware of the demand of crops and their price rates. This helps them plan better. They grow what people want. They also make the best decision regarding the time to sell. Buyers utilize the same information to determine whether the prices can increase or decrease. Other websites provide notifications to make fast decisions. This enhances better planning of farmers and reduces waste (Alkahtani et al., 2021). Online sales have simplified the process of farming, but a number of issues also persist. Previous research has concentrated largely on the rural farmers with little attention paid to the use of these digital tools by the smallholder and urban farmers. Visiting the city like Ibadan and Lagos, farmers have special marketing and distribution issues that are not the same as found in the countryside (Sadiq et al., 2025). A large number of these urban farmers work on small pieces of land and depend on fast sales in order to avoid losses after harvest. Nevertheless, they have problems with the lack of storage facilities and the inadequacy of transport systems (Agri et al., 2020). Few studies have examined these particular constraints in the smallholder farmers (Kabo-Bah & Bannor, 2025). The available research is rather inclined to investigate farmers access to the online platform instead of studying the impact of these tools on logistics, the speed of delivery, or storage (Trang et al., 2024; Olamide et al., 2024). Consequently, some critical questions will go unanswered, including the ways in which digital platforms can mitigate food wastage or make supply more efficient. Smallholder and urban farmers should be given more attention in future studies to offer a complete picture of the effects of online marketplaces (Akanni and Gabriel, 2020). There are numerous impediments in agribusiness in online marketplaces. Trust is a major concern. Online payments are a worry to the farmers since they are not sure that they are safe. Customers are concerned with counterfeits that are sold via these sites. A lot of farmers also cannot access because of poor power supply and weak network. Other farmers are not phone savvy and like their traditional mode of selling (Eweoya et al., 2021). One of the concerns is capacity building. The farmers should be well trained on how to utilize online sales tools. In their absence, a number of them might not enjoy the use of digital platforms. Hence, further research is necessary that will help to investigate the ways these tools are applied in the day-to-day life of farmers and how they can be trained to achieve better results. Online sales can empower farm 4 markets in Nigeria, albeit, its implementation requires farmers to leverage it effectively. It will be possible to understand which areas these platforms are most effective and which ones provide difficulties and use this information to develop more effective training and support programmes by the government and agricultural support groups. It will contribute to reinforcing what is already effective and bridging the gaps that may still exist (Ogbeide-Osaretin and Ebhote, 2020). Therefore, online stores are influencing the movement of food between farms and Nigerian households. They create new sales opportunities and enhance crop planning but there are still numerous problems. The studies are required to observe the impact of these platforms on storage, transportation as well as urban agriculture. An explicit analysis of the areas will inform policies that can empower farmers and enhance food supply. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23358 ER - TY - CHAP A1 - Menne, Jannis A1 - Becker, Rolf A1 - Sonntag, Jan A1 - Waldmann, Anja A1 - Kreter, Ana C. A1 - Wiedemann, Steffi T1 - AI-Driven Approaches for Animal Welfare Monitoring in Agroforestry Systems N2 - Climate change and shifting agricultural practices require innovative methods to monitor and improve animal welfare for pasture-based and other outdoor livestock. Agroforestry systems, integrating livestock with trees, shrubs and other woody vegetation, might provide shade, shelter, diversified feed and improved microclimates but require advanced monitoring to assess their impact on animal well-being. As part of the Agroforestry Living Laboratory at Rhine-Waal University, we are developing AI-driven, sensor-based solutions to monitor livestock welfare, focusing on small ruminants as well as poultry. To achieve this, we are evaluating AI-based monitoring methods to improve our understanding of animal welfare, while evaluating the role of different data sources. Sensors on animals collect data on movement patterns, and shade use, potentially providing insights into behavioral adaptations and stress responses. Stationary non-invasive camera systems are tested using computer vision and AI to assess posture, interactions, and activity on individual and group levels. Additionally, microclimate sensors might measure environmental conditions such as temperature, humidity, and radiation to evaluate their effects on animal behavior. As agroforestry systems are often in remote areas without external power, we also analyze the potential of self-sustaining sensor networks powered by solar energy and edge computing. These systems minimize energy consumption through deep-sleep modes and decentralized data processing, ensuring continuous monitoring without constant human intervention. By integrating AI-driven pattern recognition with agroforestry systems, we aim to establish an autonomous, energy-efficient monitoring network for further insights into animal welfare, behavioral changes, and environmental adaptation. Though still in development, early findings suggest these methods might enhance data-driven decision-making for sustainable pasture management, benefiting both animal welfare and agroforestry system resilience. KW - animal welfare monitoring KW - agroforestry systems KW - Sensor-based monitoring KW - pasture based livestock systems Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23348 SP - 44 PB - European Federation of Animal Science (EAAP) CY - Zuerich ER - TY - JOUR T1 - 09/2026 Fünfte Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang International Business and Administration der Fakultät Kommunikation und Umwelt an der Hochschule Rhein-Waal vom 19.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-09 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23332 VL - 2026 IS - 09 ER - TY - JOUR T1 - Zweite Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang 08/2026 Information and Communication Design der Fakultät Kommunikation und Umwelt an der Hochschule Rhein-Waal vom 20.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-08 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23326 VL - 2026 IS - 08 ER - TY - JOUR T1 - 07/2026 Zweite Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang Bio Science an Health der Fakultät Life Sciences an der Hochschule Rhein-Waal vom 23.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-07 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23314 VL - 2026 IS - 07 ER - TY - THES A1 - Ko, Tin Long T1 - The advancement of the ball point game N2 - Lean management concepts are dynamic, yet students often meet them as static definitions. This thesis advances the Ball Point Pen Game into a production simulation that exposes bottlenecks, queues, work-in-process accumulation and defects while keeping the pen-assembly task simple and standardised. Using design-based research, one design-test-reflect cycle was executed: redesign requirements were derived from Lean and lean-game education literature, implemented as roles, control rules and learning objectives, and piloted in class. The revised game increases complexity without adding product difficulty by introducing an explicit order-release rhythm (takt), separated material and information flows, visual control, and progressive pull logic across three rounds. Across rounds, batch size is reduced stepwise, supermarket/Kanban replenishment is introduced, and a simple poka-yoke prevents assembly errors. A pilot execution with seven students evaluated the redesign using a single-group pre–post knowledge test, a post-game perception questionnaire, and in-game KPIs (throughput, lead time, WIP and defects) supported by observation notes. Results are interpreted as exploratory due to the small sample and lack of a control group. Participants reported high engagement and that game discussions helped translate observations into improvement actions, aligning with prior evidence that simulation games can support understanding and transfer in Lean education. However, implementation deviations required by the small group (role merging and ad-hoc facilitation changes) reduced instruction clarity for at least one participant. The thesis delivers a reusable player/instructor manual plus design rationales and measurement procedures to guide the next test and a larger evaluation with stronger internal validity. KW - Lean Management KW - Simulation games KW - Game based learning Y1 - 2026 ER - TY - THES A1 - Hossain, Md Istiaque T1 - A Computational Study on the Effect of Water-to-Air Volume Ratio on Water Rocket Performance. N2 - This thesis presents a three-dimensional computational investigation into the influence of the water-to-air volume ratio on the flight performance of a water rocket. As a critical design parameter, this ratio fundamentally governs the trade-off between available propellant mass and expansion energy, and thereby dictates the rocket's achievable altitude and range. A comprehensive numerical model is developed to simulate the complete trajectory through its three principal phases: water expulsion, compressed-air expansion, and ballistic flight. The governing equations, derived from the conservation of mass, momentum, and energy, are solved using a fourth-order Runge-Kutta (RK4) scheme. The model incorporates variable mass effects, aerodynamic drag, gravitational forces, launch geometry, and ambient wind conditions. Implemented in MATLAB with a modular graphical user interface (GUI), the simulation framework facilitates systematic parametric studies. The numerical predictions are validated against experimental launch tests conducted at elevation angles of 60° and 77°. Maximum altitude and horizontal range are extracted from multi-camera recordings using image-based analysis. The results demonstrate strong agreement, with both approaches converging on an optimal water fill fraction. The simulation identifies an optimum of approximately 43%, while the experimental measurements indicate a slightly higher optimum of 45.5%. Considering the collective evidence, an overall optimal fill range of 40 to 50% for 250 mL water rocket bottle, is established. The consistency between computational and experimental findings validates the robustness of the proposed model and confirms the identified optimum as a reliable benchmark for water rocket performance. KW - Water Rocket KW - Rocket KW - Trajectory KW - Matlab KW - RK4 Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23248 ER - TY - THES A1 - Bedoya Giraldo, Leidy Johanna T1 - Farmer Experiences and Responses to Agroforestry Interventions in San Martín, Peru: Exploring Social Group Perspectives Including Women’s Voices Across Social Groups N2 - Smallholder agroforestry systems are central to sustainable land-use transitions in the Peruvian Amazon, yet little is known about how farmers themselves perceive these systems or how such perceptions shape long-term management. This study examines how indigenous, non-indigenous, and female smallholder farmers in San Martín, Peru, perceive the benefits and challenges of agroforestry interventions and how these perceptions influence system maintenance, adaptation, and sustainability. The research is guided by the question: How do farmers in San Martín perceive the benefits and challenges of agroforestry interventions, and how do these perceptions shape their adaptive decisions over time? Using a qualitative, comparative case-study design, data was collected through 50 semi-structured interviews and three participatory focus group discussions. The Group Concept Mapping methodological approach used enabled farmers to identify, cluster, and prioritize benefits, challenges, and adaptations using their own categories and reasoning. Findings reveal two main pathways shaping agroforestry trajectories. A maintenance pathway emerges when farmers perceive tangible ecological and labor-related benefits, such as soil improvement, reduced weeding, and microclimate regulation, particularly when market and legality conditions allow value to be captured. An adaptation pathway is triggered when challenges, such as excessive shade, crop-tree competition, legality barriers, or uncertain markets, are perceived as immediate constraints, prompting pruning, thinning, or removal of timber species. These pathways are influenced by organizational support, training access, gendered participation, and tenure conditions. The study highlights the need for long-term technical support, participatory system design, gender-inclusive training, and stronger institutional support for timber legality. The insights are intended to contribute to the development of the SMART platform, offering evidence to strengthen future agroforestry interventions in San Martín. KW - Agroforesty KW - Sustainability KW - Farmer perceptions KW - Group Concept Mapping KW - Inductive Coding. Y1 - 2025 ER - TY - THES A1 - Süyrüge, Eyüp T1 - Vergleich von FPGA und Mikrocontroller für die Echtzeitverarbeitung von Audiosignalen zur Richtungserkennung mittels FFT und TDOA einschließlich LED-basierter Visualisierung N2 - Das Ziel dieser Arbeit ist es, ein praxisnahes System zur Echtzeitverarbeitung von Audiosignalen mit dem Fokus auf der Richtungsbestimmung von Schallquellen zu entwickeln. Als Hardwareplattformen werden dafür ein Field Programmable Gate Array (FPGA) und ein Mikrocontroller (MCU) eingesetzt. Dabei konzentriert sich die Arbeit auf die Untersuchung der beiden Plattformen, wobei die Leistungsfähigkeit, Genauigkeit und Ressourceneffizienz verglichen werden. Zu diesem Zweck werden Algorithmen der Signalverarbeitung, besonders die Fast Fourier Transform (FFT) und die Time Difference of Arrival (TDOA), implementiert und ausgewertet. KW - FPGA KW - Mikrocontroller KW - Echtzeitverarbeitung KW - Audiosignale KW - FFT KW - TDOA Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23229 ER - TY - JOUR T1 - 06/2026 Zweite Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang Bioengineering der Fakultät Life Sciences an der Hochschule Rhein-Waal vom 23.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-06 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23207 VL - 2026 IS - 06 ER - TY - JOUR T1 - 05/2026 Zweite Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang Sustainable Agriculture der Fakultät Life Sciences an der Hochschule Rhein-Waal vom 26.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-05 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23192 VL - 2026 IS - 05 ER - TY - JOUR T1 - 04/2026 Zweite Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang Agribusiness der Fakultät Life Sciences an der Hochschule Rhein-Waal vom 26.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-04 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23185 VL - 2026 IS - 04 ER - TY - JOUR T1 - 03/2026 Dritte Änderungssatzung zur Prüfungsordnung für den Masterstudiengang Biological Resources der Fakultät Life Sciences an der Hochschule Rhein-Waal vom 21.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-03 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23174 VL - 2026 IS - 03 ER - TY - JOUR T1 - 02/2026 Zweite Änderungssatzung zur Prüfungsordnung für den Masterstudiengang Lebensmittelwissenschaften der Fakultät Life Sciences an der Hochschule Rhein-Waal vom 22.01.2026 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-02 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23163 VL - 2026 IS - 02 ER - TY - THES A1 - Heesen, Lisa T1 - Anforderungsorientiertes BGM für Flughafenfeuerwehren: Konzeption eines gesundheitsförderlichen Maßnahmenpaketes nach EASA-Vorgaben am Airport Weeze N2 - Hintergrund: Flughafenfeuerwehren sind spezifischen physischen und psychischen Belastungen ausgesetzt, die sich besonders durch Schichtarbeit und seltene, aber hochintensive Einsatzlagen auszeichnen. Trotz der zunehmenden Bedeutung eines Betrieblichen Gesundheitsmanagements (BGM) existieren insbesondere an kleinen und mittleren Regionalflughäfen bislang wenig systematische und arbeitsplatzspezifische Gesundheitskonzepte. Die Anforderungen an Gesundheit und Einsatzfähigkeit der Flughafenfeuerwehren werden zudem durch die Vorgaben der Europäischen Agentur für Flugsicherheit (EASA) maßgeblich mitbestimmt. Ziel dieser Arbeit war es, das Belastungs- und Bedarfsprofil der Flughafenfeuerwehr am Airport Weeze zu erfassen und darauf basierend ein ganzheitliches und EASA-konformes Maßnahmenkonzept zur Gesundheitsförderung und Erhaltung der Einsatzfähigkeit zu entwickeln. Methode: Die Untersuchungen erfolgten im Rahmen eines Mixed-Methods-Designs. Insgesamt 28 der 37 angestellten Einsatzkräfte wurden mittels eines teilstandardisierten Fragebogens zu physischen und psychischen Belastungsfaktoren, Trainings- und Erholungsverhalten sowie der Akzeptanz und den Wünschen zu gesundheitsbezogenen Maßnahmen befragt. Ergänzend wurde eine systematische Dokumenten- und Umfeldanalyse sowie eine SWOT (Strengths, Weaknesses, Opportunities, Threats)-Analyse durchgeführt, um strukturelle Ressourcen, Barrieren und Entwicklungspotenziale zu identifizieren. Ergebnisse: Die Auswertung zeigt eine heterogene Alters- und Diensterfahrungsstruktur. Belastungsschwerpunkte wurden im Dienst durch Schichtdienst, Lärmexposition und sitzende Tätigkeiten verzeichnet. Gleichzeitig existieren Lücken in der Erfassung psychischer Belastungen und in der systematischen Dokumentation des Dienstsports. Darüber hinaus wurde festgestellt, dass bislang keine einheitlichen Trainings- oder Testungsverfahren für den Dienstsport vorhanden sind, sodass die körperliche Leistungsfähigkeit der Einsatzkräfte nicht regelmäßig überprüft oder gezielt gefördert wird. Die Einsatzkräfte äußerten ein hohes Interesse an strukturierten Trainings-, Resilienz- und Teammaßnahmen sowie den Bedarf an niederschwelligen Unterstützungsangeboten. Jedoch wurde eine geringe Bereitschaft zur aktiven Mitgestaltung verzeichnet. Schlussfolgerung: Auf Grundlage der Analyse wurde ein modular aufgebautes und EASA-konformes BGM-Konzept entwickelt. Das Konzept umfasst eine jährliche sportmedizinische Leistungsdiagnostik, individualisierte Trainingspläne, Peer-Support-Strukturen, Maßnahmen zur Resilienzförderung, Schulungen für Führungskräfte sowie partizipative Team- und Kommunikationsformate. Darüber hinaus bietet es einen praxisorientierten Ansatz zur strukturierten Gesundheitsförderung in sicherheitsrelevanten Einsatzbereichen und kann unter Berücksichtigung lokaler Rahmenbedingungen auf andere Regionalflughäfen übertragen werden. KW - Flughafenfeuerwehr KW - Resilienz KW - Betriebliches Gesundheitsmanagement KW - Belastungsprofil KW - Sport KW - EASA KW - Einsatzkräfte Y1 - 2025 ER - TY - THES A1 - Ustritski, Nikita T1 - Competitiveness of Green vs. Traditional Companies: A Comparative Study in the Automotive, Hospitality, and Fashion Industry N2 - This thesis compares short-term and long-term competitiveness between green and traditional companies in the automotive, hospitality, and fashion industries. Existing research rarely examines multiple industries together or evaluates competitiveness using both time perspectives, creating a clear research gap. The research question asks how green and traditional companies differ in financial performance, innovation, consumer trust, and regulatory responsiveness. The hypothesis proposes that green companies show lower short-term competitiveness, but higher long-term competitiveness than traditional firms. A qualitative comparative case study approach is applied using secondary data, including annual reports, sustainability disclosures, ESG ratings, and international regulatory frameworks. Six companies are analysed: Tesla and Toyota in the automotive sector, Hilton and Wyndham in hospitality, and Kering and H&M in fashion. Their competitiveness is assessed through a structured framework that distinguishes between immediate business outcomes and long-term strategic development. The findings show that traditional companies perform better in the short term due to efficient cost structures, established operating models, and stable supply chains. Green companies, however, achieve stronger long-term competitiveness by investing in innovation, transparency, and alignment with tightening regulatory and consumer expectations. Tesla, Hilton, and Kering demonstrate superior long-term performance, while Toyota, Wyndham, and H&M maintain advantages mainly in the short term. The results support the hypothesis and highlight sustainability as an important driver of long-term competitiveness. The study offers cross-industry insights for academics, managers, and policymakers and identifies opportunities for future research on sustainable business models. KW - Sustainability KW - Competitiveness KW - Innovation KW - Green companies KW - Traditional companies Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23123 ER - TY - JOUR T1 - 01/2026 Korrektur der Ersten Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang „Engineering“ an der Hochschule Rhein-Waal vom 10.10.2025 T3 - Amtliche Bekanntmachungen der Hochschule Rhein-Waal - 2026-01 Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1383-opus4-23114 VL - 2026 IS - 01 ER -