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"Digital" is a popular adjective for concepts related to electronic, computerized or networked processes in current research and practice. From an ontological-theoretical perspective, the prevalence of digital things triggers the question, how Digitality itself could be conceptualized. This article studies the ontology of Digitality and consequently discusses Digital Innovation (DI) from a new perspective. First, literature on Digitality is analyzed. Based on the findings, an ontological conceptual framework of Digitality (OCFD) is proposed. It describes four layers of Digitality: physical foundations, virtuality, digital culture and world, and digital metaphysics. From a human perspective, requirements to grasp and embody Digitality are highlighted, as well as the expansion of reality. Finally, Digitality is discussed as a paradigm of DI and exemplary digital phenomena are projected onto the OCFD. This paper contributes to DI research and practice through theory-building towards a better understanding of ontological characteristics and practical implications of Digitality in DI.
Climate will be decided in the global south Mankind is on a dangerous journey in the Anthropocene. Arriving at a good life for all within planetary boundaries is still possible. But at present, the journey is more likely to lead to an overheating of the Earth. Health and life would then be massively endangered for many living beings - including humans. A positive development is still possible, but it requires a global transformation of the economy and society. The prosperous states and companies are well advised, to respect the interests of the global south and future generations, and to use wisely the considerable financial resources in a cooperation of equals. This book • highlights past carbon emissions and their consequences, • reflects on the main drivers of future emissions, • discusses strategies like green growth, de-growth, • presents market-based instruments like carbon trading and carbon border adjustment and • emphasises the key role played by the emerging countries of the global south. It is not only a matter of justice but furthermore in the interest of the rich countries in the global north to contribute massively to financing a "green leapfrogging" of the global south into a carbon-free prosperity. Failing to achieve it will bring unspeakable losses and suffering to many people all over the planet.
This study examines the impact of Artificial Light at Night (ALAN) on two coral species, Acropora eurystoma and Pocillopora damicornis, in the Gulf of Aqaba/Eilat Red Sea, assessing their natural isotopic responses to highlight changes in energy and nutrient sourcing due to sensory light pollution. Our findings indicate significant disturbances in photosynthetic processes in Acropora eurystoma, as evidenced by shifts in δ13C values under ALAN, pointing to alterations in carbon distribution or utilization. In Pocillopora damicornis, similar trends were observed, with changes in δ13C and δ15N values suggesting a disruption in its nitrogen cycle and feeding strategies.
The study also uncovers species-specific variations in heterotrophic feeding, a crucial factor in coral resilience under environmental stress, contributing to the corals' fixed carbon budget. Light measurements across the Gulf demonstrated a gradient of light pollution which possess the potential of affecting marine biology in the region. ALAN was found to disrupt natural diurnal tentacle behaviors in both coral species, crucial for prey capture and nutrient acquisition, thereby impacting their isotopic composition and health.
Echoing previous research, our study underscores the need to consider each species' ecological and physiological contexts when assessing the impacts of anthropogenic changes. The findings offer important insights into the complexities of marine ecosystems under environmental stress and highlight the urgency of developing effective mitigation strategies.
Climate change, but also geopolitical circumstances, are moving topics such as energy efficiency and renewable energies more and more into the focus of the population, economy , and politics. As a result, the will to optimize new and existing energy systems extends from private individuals to companies and even entire communities. This work describes the development and usage of a new software called FINEconcepts which creates a digital twin of an energy system. This virtual model can then be used to optimize the energy system based on annual costs, CO2 emissions or other relevant criteria such as self-sufficiency. Because all system components, which include renewable technologies as well, can be added as a building block with chosen but changeable parameters, the software allows the user to explore and awaken interest and understanding of technologies that were previously considered too costly, irrelevant, or unrealistic. Implemented projects in small and large companies as well as in residential areas did prove, that the usage of FINEconcepts leads not only to more efficient energy systems by increasing the use of renewable energy, but also increased knowledge and understanding in terms of energy. Besides economics, ecology and security, understanding is an equally important factor in achieving a sustainable energy supply.
In this study, we have investigated the form of velocity and pressure functions of a fluid oscillating between two parallel glass sheets that form a circular Hele-Shaw cell. The flow has been considered to be radial, incompressible and laminar. The time-dependent Navier-Stokes equation has been solved in cylindrical coordinates using Fourier transform, and the oscillating flow velocity across the thickness of the cell has been obtained at different times. The flow velocity function in the unsteady state is related to the vertical component of the coordinates in the form of parabolic functions and also to the inverse of the radial component. The time dependence appears as a simple harmonic with a frequency equal to the oscillation frequency. The velocity of the flow is maximum at the middle of the cell along its height and gradually decreases from the middle towards the top or bottom plane and reaches zero. Pressure does not depend on the height and changes logarithmically with the radius. The dependence of pressure on time is also a simple harmonic with the external frequency, but it has a phase shift with respect to the velocity.
With the release of the Apple iPhone 12 Pro Max in 2020, various features were integrated that make it attractive as a recording device for scene-related computer graphics pipelines. The captured Apple RAW images have a much higher dynamic range than the standard 8-bit images. Since a scene-based workflow naturally has an extended dynamic range (HDR), the Apple RAW recordings can be well integrated. To correctly integrate the iPhone 12 pro Apple RAW data into a scene-related workflow, two command-line software solutions, among others, are dcraw and rawtoaces. In this paper, we concentrate on dcraw. dcraw offers the possibility to export RAW images directly to ACES2065-1. Different images recorded under different lighting conditions are examined to determine which options for the dcraw development produce the best results. Images from five different lighting situations like D65, D60, D55, D50, and 2980K, are examined. The DNG files are developed using different methods within dcraw. The values of the recorded ColorChecker24 patches are compared to reference values derived from BabelColor [1] and ACES [2].
In this work, the most relevant 3D LiDAR technologies and their applications in 2022 were investigated. For this purpose, applications of LiDAR systems were classified into the typical application areas "3D modeling", "smart city", "robotics", "smart automotive" and "consumer goods". The investigation has shown that neither "mechanical" LiDAR technologies, nor so-called solid-state LiDAR technologies, nor "hybrid" LiDAR technologies can be evaluated as optimal for the typical application areas. In none of the application areas could all of the elaborated requirements be met. However, the "hybrid" LiDAR technologies such as sequential MEMS LiDAR technology and sequential flash LiDAR technology proved to be among the most suitable for most typical application areas. However, other technologies also tended to be suitable for individual typical application areas. Finally, it was found that several of the LiDAR technologies investigated are currently equally suitable for some typical application areas. To evaluate the suitability, concrete LiDAR systems - of different technologies and properties - were compared with the specific requirements of exemplary applications of an application area. The results of the investigation provide an orientation as to which LiDAR technology is promising for which application area.
In diesem Whitepaper fokussieren wir uns auf die KI-Verordnung nicht erfasste freiwillige Zertifizierung. Dabei stehen die Interessen und Sichtweisen der Verbraucher*innen im Vordergrund. Als Verbraucher*innen betrachten wir nicht nur die unmittelbaren Nutzer*innen von KI-Systemen, sondern auch Privatpersonen, die indirekt von KI-Ergebnissen betroffen sein können. Zudem berücksichtigen wir Menschen in der Rolle als souveräne Datensubjekte, deren personenbezogene Daten in die Entwicklung von KI-Systemen einfließen. Dieses breite Verständnis des Verbraucher*innenbegriffs entspricht dem Selbstverständnis des Zentrums für vertrauenswürdige Künstliche Intelligenz (ZVKI). Wir stellen Thesen auf, wie freiwillige Zertifizierungen von KI-Systemen für Verbraucher*innen nützlich sein können. Die im Verlauf vorgestellten und begründeten acht Thesen wurden in einer Reihe von interdisziplinären Workshops erarbeitet. Dabei identifizierten wir Herausforderungen einer KI-Zertifizierung aus Verbraucher*innensicht und präzisierten diese iterativ. Die Gruppendiskussionen dienten als Grundlage dieses Whitepapers und bauten auf Erkenntnissen der Fach-Arbeitsgruppe „KI Zertifizierung“ des ZVKI auf. Alle Co-Autor*innen waren an der Erstellung des finalen Texts beteiligt. Die aufgestellten Thesen thematisieren grundlegende Anforderungen an eine KI-Zertifizierung aus einer übergeordneten Perspektive, unabhängig von den spezifischen Details einer KI-Anwendung. Somit liefern sie keine Aussagen zu konkreten Inhalten der Zertifizierung. Detaillierte Empfehlungen setzen eine umfassende Analyse von Einsatzfällen voraus, die in diesem Rahmen nicht geleistet werden kann.
DIN SPEC 92001-3 Artificial Intelligence – Life Cycle Processes and Quality Requirements. Artificial Intelligence has become a game-changer, but its impact must be approached responsibly. This is the third document in a series, and it aims to ensure that AI systems are developed, deployed, and used efficiently, responsibly, and in a trustworthy way. It focuses on “Explainability” – the ability to understand how AI makes decisions. This DIN SPEC 92001-3 provides a domain-independent guide on promoting explainability throughout the AI system’s life cycle. It tackles “opacity”, describing sources and effects of opacity in AI and how explanations can mitigate them. The goal is to foster a better understanding and effective use of Explainable AI across various applications, fostering principles of trust and transparency in AI-based systems. This DIN SPEC is the result of „Zertifizierung von Standard-KI-Anwendungen (Zertifizierte KI project)“ https://www.zertifizierte-ki.de/. The publication is available for free at Beuth Verlag GmbH www.beuth.de - plus the search for "DIN SPEC 92001-3"
Die digitalen Technologien verändern die Gesellschaft, auch die akademischen Wissen-schaftssysteme sind betroffen. Das erfordert verstärkte Überlegungen zum Einsatz solcher Techno-logien und zu ihrem Einfluss auf Lehre und Studium. Der Beitrag fokussiert die Relevanz von AI-Literacy im Kontext des Einsatzes Generativer KI aus zwei Perspektiven. Zunächst wird die Wahr-nehmung und Bereitschaft von Studierenden, KI-basierte Tools zur automatisierten Textgenerierung zu nutzen, empirisch untersucht. Im zweiten Teil wird ein auf Ko-Kreation ausgerichtetes Lehrkon-zept modelliert, das neben fachlichen auch AI-Literacy-Kompetenzen adressiert. Die Ergebnisse führen zu Handlungsansätzen, insbesondere für Wirtschaftsinformatik-Studiengänge.