Ostwestfalen-Lippe University of Applied Sciences and Arts
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Der Prüfer eines Nachhaltigkeitsberichts – ausschließlich WP oder auch Umweltgutachter und technische Sachverständige? Eine Analyse der zum RefE eines CSRD-Umsetzungsgesetzes eingegangenen Stellungnahmen
Wenngleich die Nachhaltigkeitsberichterstattung in den vergangenen Jahren eine erhebliche Bedeutungszunahme erfahren hat, sind zahlreiche Detailaspekte im Zusammenhang mit der Aufstellung, Prüfung und Offenlegung eines Nachhaltigkeitsberichts weiterhin nicht geklärt. Exemplarisch gilt es die Themenstellung hervorzuheben, welche externe Prüfungsinstanz künftig die Angaben des Nachhaltigkeitsberichts verifizieren soll. Hierfür kommen grds. zum einen Vertreter des Berufsstands der WP und zum anderen unabhängige Erbringer von Bestätigungsleistungen - bspw. Umweltgutachter - in Frage. Die Corporate Sustainability Reporting Directive (CSRD) beinhaltet Mitgliedstaatenwahlrechte hinsichtlich der Prüfungsinstanz. Am 10.07.2025 hat das Bundesministerium der Justiz und für Verbraucherschutz (BMJV) einen neuen RefE zur Transformation der CSRD in nationales Recht vorgelegt. Der Gesetzgeber plant die Prüfung des Nachhaltigkeitsberichts als Vorbehaltsaufgabe für die Vertreter des Berufsstands der WP auszugestalten. In diesem Zusammenhang sind 73 Stellungnahmen eingegangen. In rund der Hälfte der Stellungnahmen wird die Prüfungsinstanz im Kontext der Prüfung eines Nachhaltigkeitsberichts thematisiert. Angesichts dieser Resonanz wird im vorliegenden Beitrag zunächst die geplante Ausübung des Mitgliedstaatenwahlrechts seitens des BMJV erörtert und anhand der eingegangenen Stellungnahmen ausgewertet und kritisch gewürdigt
Ressourceneffizientere Lebensmittelproduktion durch Umsetzung eines Raffineriekonzepts am Beispiel der Bierherstellung
KI-generierte Bilder in sozialen Medien: Nutzerwahrnehmung und Sensibilität durch ein interaktives Quiz
Die Bachelorarbeit untersucht, wie sich KI-generierte Bilder in sozialen Medien von echten und bearbeiteten Bildern unterscheiden lassen und inwieweit Nutzer:innen diese zuverlässig erkennen können. Ausgangspunkt ist die Beobachtung, dass moderne Text-zu-Bild-Modelle fotorealistische Inhalte erzeugen, die für Betrachtende oft kaum von Fotografien zu unterscheiden sind und so Desinformation, Vertrauensverlust und die Glaubwürdigkeit visueller Belege schwächen. Theoretisch werden zunächst Grundlagen digitaler Bilder, typische Artefakte sowie eine Typologie echter, bearbeiteter und KI-generierter Bilder entwickelt. Daran anschließend beschreibt die Arbeit zentrale Generationsverfahren (insbesondere Generative Adversarial Networks und Diffusionsmodelle), diskutiert den Einfluss verzerrter Trainingsdaten und leitet wiederkehrende visuelle Auffälligkeiten KI-generierter Porträts ab, etwa anatomische Fehler, stilistische Glättungen oder physikalische Inkonsistenzen. Darauf aufbauend wird ein interaktives Webquiz konzipiert und technisch mit React und TypeScript umgesetzt, in dem Nutzer:innen jeweils ein fotografisches und ein KI-generiertes Bildpaar vergleichen und das synthetische Bild identifizieren sollen. Ein gezieltes Feedbacksystem erläutert bei Fehlentscheidungen die relevanten Merkmale und soll weniger Leistung messen als vielmehr für die Schwierigkeit der Unterscheidung sensibilisieren. Abschließend werden Chancen und Risiken KI-generierter Bilder im Kontext politischer Desinformation, journalistischer Standards und Medienkompetenz diskutiert. Die Arbeit zeigt, dass menschliche Erkennungsleistungen klaren Grenzen unterliegen, interaktive Lernformate wie das entwickelte Quiz aber das Bewusstsein für typische KI-Artefakte stärken und als Grundlage für zukünftige empirische Studien zur Medienbildung dienen können
Sustainable Design for Mental Health: A Framework of Spatial Indicators for University Campuses
The mental health crisis among university students is gradually increasing, from psychological fatigue, burnout, and anxiety to suicide, forcing universities to integrate a mental health focus in sustainable campus planning. Mental health can be influenced, either alleviated or exacerbated, by the academic environment. Campus Sustainability Assessment Tools (CSATs) provided various indicators, but few include spatial indicators related to mental health. To bridge this gap, it is essential to understand the influence of spatial aspects on students’ psychological well - being. Identifying environmental stressors and spatial qualities and translating them into indicators that can be consistently defined and evaluated is relevant. This study aims to address the gap in CSATs regarding students' mental health and to develop spatial indicators for universities to embed mental health. The goal is to propose spatial indicators that allow universities to evaluate and measure the relationship between the built campus environment and mental health. A comparative analysis was conducted on ten CSAT frameworks and two related frameworks, including the Global Reporting Initiative (GRI) and the Circular Economy (CE), with a focus on identifying and evaluating existing assessments. In parallel, a review was conducted to analyze key psychological stressors and interventions in the academic environment for university students' mental health. This included formulating spatial indicators that describe, quantify, and assess the relationship to psychological outcomes. Findings show that existing CSATs prioritize curriculum and teaching approaches, and research includes scholarship, social network, and operational aspects. However, only the Sustainability Tool for Auditing Universities' Curricula in Higher Education (STAUNCH) and Sustainability Tracking, Assessment & Rating System (STARS) explicitly reference mental health. Apart from STAUNCH and UI GreenMetric, which include indicators of biodiversity and green space ratio, respectively, nearly all frameworks focus on non - physical, conceptual metrics. The identification of spatial indicators is linked to specific design attributes — such as natural light, spatial openness, and access to nature — that promise reduced stress and enhanced emotional well - being. Key findings related to the study’s spatial indicators propose a three - part indicator set: 1. Psycho - spatial indicators (e.g., light, acoustic, and visual comfort, finishing material, accessibility, air quality, layout) . 2. Socio - spatial indicators (e.g., communal area, visibility, accessibility, safety, interconnection) . 3. Restorative spatial indicators (e.g., naturalness, spatiality, safety and security, privacy - public balance) . Universities must focus on preserving students’ mental health by improving their physical environments, especially because supporting and fostering mental health is no longer optional. Understanding the tangible ways in which space impacts mental health enables universities to define clear, measurable criteria for improvement. These findings offer a practical foundation for evaluating existing environments and guiding future design interventions. A three - part indicator set will be developed and applied through a mixed - method case study approach, implemented in two existing campuses, and it will be examined in depth via on - site observations, structured interviews, and student surveys to capture both measurable data and lived experiences. The framework aims to articulate the connection between spatial design and mental health and to establish a methodology for identifying, defining, and assessing these indicators across different university settings
Solar Stirling for Renewable Energy Multigeneration Systems
This study explores the feasibility and potential of integrating dish–Stirling systems (DSSs) into multigeneration energy systems, focusing on their ability to produce both thermal and electrical energy. By leveraging the concentrated solar power capabilities of DSSs, this research examines their performance relative to alternative solutions such as photovoltaic (PV) systems and solar heating. A 25 kW Stirling Energy Systems (SES) DSS served as the basis for the analysis. Simulations were performed for local 2022 weather conditions in Germany. The study employed a detailed modeling approach using the NREL System Advisor Model (SAM) to quantify the energy outputs and evaluate the system efficiencies. The results indicate that the DSS achieved an electrical efficiency of 25% and a combined efficiency of 78% when accounting for the maximum thermal energy generated. Seasonal analysis highlights the adaptability to fluctuating energy demands, with advantages in winter heating applications. Comparative evaluations revealed DSSs as a viable cogeneration alternative to standalone PV systems and solar heaters, offering reduced environmental impacts and enhanced energy efficiency. Future work will address real-world operational conditions, including thermal storage and multigeneration integration, positioning the DSS as a sustainable solution for renewable energy generation
Mechanisms of failure and state analysis of electrical connectors in automobiles
Various degradation mechanisms can diminish the performance of electrical connectors in automobiles over time. It is crucial to gain an in-depth understanding of the failure mechanisms and their interactions, as well as to systematically analyze the failure mechanisms of connectors, assess their state of health, and predict the probability of failure in the future. This work provides a comprehensive overview of degradation mechanisms in electrical connectors, including fretting corrosion, oxidation, delamination, wear through of the protective coating, stress relaxation and plastic deformation. It focuses on mechanisms that contribute to increased contact resistance over time and proposes a unified model to explain their interactions. The study introduces a structured methodology for assessing connector health by outlining key measurement techniques and presenting an efficient approach to failure and state analysis that minimizes both testing time and sample size. This methodology is supported by analyses of connectors from long-term life tests and field-used, field-tested vehicles. Additionally, the study explores new aspects of the state analysis for accelerated testing of connectors, supported by examples from field-tested vehicles and various test methods, to predict connectors lifetime and evaluate the effectiveness of existing testing approaches
Die Zukunft des filmischen Bühnenbilds - Eine vergleichende Analyse physischer, digitaler und KI-generierter Filmkulissen mit gestalterischer Umsetzung
Development and Implementation of Diversity Programs in Large Collaborative Research Projects: An Example From Germany
In recent years, there has been an increasing awareness of the importance of incorporating diversity into research projects, focusing on both how they are conducted and their content. Funding organizations have started to require that research applicants pay attention to inclusion and diversity by considering gender dimensions and other diversity factors in their project plans and ensuring gender equality during execution. Based on an extensive literature research and expert discussions on how to develop and implement diversity strategies in large collaborative research projects, we argue that there is a lack of practical advice in existing literature. Drawing from our own experiences in conceptualizing and implementing a Diversity Program across four universities in Germany, we propose a framework for effectively integrating diversity into collaborative research initiatives across various academic fields