Refine
Document Type
- Conference Proceeding (16)
- Master's Thesis (12)
- Bachelor Thesis (7)
- Final Report (4)
Year of publication
- 2023 (39) (remove)
Language
- English (39) (remove)
Keywords
- Blockchain (9)
- Maschinelles Lernen (6)
- Vektorquantisierung (3)
- Bitcoin (2)
- Graphentheorie (2)
- Neuronales Netz (2)
- Smart contract (2)
- Algorithmus (1)
- Ammoniumverbindungen (1)
- Anthropocene Disease (1)
- Anämie (1)
- Bibliometric analysis (1)
- Biometrie (1)
- Bodenorganismus (1)
- Bridge (1)
- Business Reputation System (1)
- COVID-19 (1)
- Cryptocurrency (1)
- DAO (1)
- DNA Barcoding (1)
- DeSci (1)
- Dezentralisation (1)
- Direct Laser Interference Patterning (1)
- E-Learning (1)
- Education (1)
- Epidemiologie (1)
- Fernunterricht (1)
- Fledermäuse (1)
- Gesichtserkennung (1)
- Globalisierung (1)
- Identitätsverwaltung (1)
- Immunologische Diagnostik (1)
- Integriertes Lernen (1)
- Intelligent methods (1)
- Interkulturelle Kompetenz (1)
- Kind (1)
- Klimaänderung (1)
- Kommunikationsstrategie (1)
- Kugelspalt (1)
- Künstliche Intelligenz (1)
- Laser beam welding (1)
- Lebensraum (1)
- Lernerfolg (1)
- Luftschall (1)
- Malaria (1)
- Mathematisches Modell (1)
- Maximal Extractable Value (1)
- Migration (1)
- Non-Fungible Token (1)
- Objekterkennung (1)
- Oxidation (1)
- Pandemie (1)
- Paper-based Coffee Cups (1)
- Polygon scanner processing (1)
- Prozessüberwachung (1)
- Risiko (1)
- SARS-Cov- 2 (1)
- Sandwich Attacks (1)
- Satellitenfunk (1)
- Satellitentechnik (1)
- Siliziumbearbeitung (1)
- Smart Contract Programming (1)
- Spaltströmung (1)
- Stakeholder (1)
- Stickstoffverbindungen (1)
- Supply Chain Management (1)
- Surface texturing (1)
- Thulium (1)
- Tiefschweißen (1)
- Traceability (1)
- Transparenz (1)
- Trust (1)
- Tutte-Polynom (1)
- Ultrafast (1)
- Ultrakurzpulslaser (1)
- User Generated Content (1)
- Virtuelle Währung (1)
- Web of Things (1)
- Wildtiere (1)
- Zeitreihe (1)
- atomic swaps (1)
- collective trauma (1)
- cross cultural work environment (1)
- decentralized science (1)
- high repetition rate (1)
- high throughput (1)
- high troughput (1)
- ightning network (1)
- industrial lasers (1)
- launch strategies (1)
- learning motivation (1)
- mev-inspect (1)
- micro drilling (1)
- mindful leadership (1)
- mint mechanism (1)
- negatively-valenced emotions (1)
- optical coherence tomography (1)
- optimization (1)
- pandemic (1)
- polygon scanner (1)
- pricing strategy (1)
- scholar publishing (1)
- scientific paper token (1)
- sensor technology (1)
- silicon processing, high power (1)
- temporal energy deposition (1)
- trauma studies (1)
- ultra-fast (1)
- ultrafast laser (1)
- workplace mental health (1)
- Ökosystem (1)
Institute
Over recent years, Maximal Extractable Value (MEV) has gained significant importance within the decentralized finance (DeFi) ecosystem. Remarkably, within just two years of its emergence, MEV has seen an extraction of approximately 600 million USD - a phenomenon that has sparked concerns regarding potential threats to blockchain stability.
With growing interest in the Ethereum network and the growing DeFi sector, research surrounding MEV has substantially increased. This work aims to offer a comprehensive understanding of MEV. Additionally, this research quantifies the largest types of MEV (Arbitrage, Sandwich and Liquidations) from March 2022 to March 2023. The data are then compared to other sources, revealing a general upward trend, with a particularly noticeable increase in Sandwich Attacks.
The digital transformation of higher education demands effective and efficient methods for learning support and assessment of learning processes. This paper relates learning support and assessment to each other in the context of learning management systems. It refers to previous studies carried out in multiple introductory economic courses of the University of Applied Sciences Mittweida which examine possible connections between the use of digital tests and learning success, investigate student’s acceptance and self-perceived learning success with respect to the webbased portion of a blended course and a purely online based course. Based on a survey (n = 71) and a quantitative analysis (n = 214) with logging and exam assessment data, the previous work shows that students approached the web-based course portion with rather reserved attitudes. Still, they perceived the individual course elements, namely videos, podcasts, interactive worksheets, online tests, and a comprehensive PDF file to be beneficial to their learning experience. Especially we could indicate a positive correlation between the points students achieved in the online tests and the exam results.
Die biologische Ammoniumoxidation ist ein zentraler Bestandteil des globalen Stickstoffkreislaufs. Angesichts der extremen Massen Stickstoff anthropogenen Ursprungs in der Umwelt, liegt die Entfernung reaktiven Stickstoffs im Interesse der Umwelt und der öffentlichen Gesundheit. In der folgenden Arbeit werden Bedingungen zur anaeroben Ammoniumoxidation mit Nitrat in einem Anammox-Reaktor untersucht. Dabei wurden 2 Laborreaktoren für eine Zeit von insgesamt 116 Tagen betrieben und beobachtet, die ausschließlich als Elektronendonatoren und Akzeptoren Ammonium und Nitrat enthielten. Zusätzlich wurden Batchkulturen mit Zellen eines Reaktors angezüchtet und auf ihre Gaszusammensetzung abhängig unterschiedlicher Eigenschaften untersucht. Hierbei wurde eine Reihe unterschiedlicher analytischer Quantifizierungsmethoden genutzt und es konnte gezeigt werden, dass ein Abbau unter den Bedingungen stattfindet.
Die aktuelle Forschung zu dieser Reaktion ist spärlich und verleiht der Bachelorarbeit dadurch Relevanz.
In the field of satellites it is common practice to combine multiple ground stations into one network, to increase communication times with satellites. This work focuses on TIM, which is an international academic colaborative project. Important criteria for this project are elaborated and used to evaluate existing ground station networks. It concludes that there is no appropriate solution availiable for this specific use case and establish a proposed solution. The proposed ground station network software will be elaborated and evaluated.
In this work, we identify similarities between Adversarial Examples and Counterfactual Explanations, extend already stated differences from previous works to other fields of AI such as dimensionality, transferability etc. and try to observe these similarities and differences in different classifier with tabular and image data. We note that this topic is an open discussion and the work here isn’t definite and canbe further extended or modified in the future, if new discoveries found.
A Systematic Literature Review on Blockchain Oracles: State of Research, Challenges, and Trends
(2023)
To enable data exchange between the Blockchain protocol (on-chain) and the real world (off-chain), e.g., non-Blockchain-based applications and systems, a software called Oracle is used [3]. Blockchain oracle is an important component in the use of off-chain data for on-chain smart contracts. However, there is limited scientific literature available on this important blockchain topic. Therefore, in this paper, a novel systematic literature review based on intelligent methods, e.g., information linking, topic clustering and focus identification through frequency calculations, is proposed. Thus, the current state of scientific research interest, content and challenges, and future research directions for blockchain oracles are identified. This paper shows that there is little unbiased literature that does not call oracles a problem. From the results of this new literature review framework, relevant areas of data handling and verification with blockchain oracles are identified for future research.
Derived from the Ancient Greek word τραῦμα (engl. wound,
damage), the word trauma refers to either physical or emotional wounds. Nowadays, it is mostly used in the context of psychological wounds, inflicted by an identity-shattering event – an event that causes the traumatised to not be able to reconcile their lived reality with the expectation of a human universal experience anymore. The last decade, the last two years in particular, and the last two weeks ad absurdum, have scarred the global landscape of human existence beyond recognition. From Putin’s unexpected reimposition of mutually assured destruction doctrines via the global SARS-Cov-2 pandemic to the lingering threat of climate doom, people all over the globe have been faced with persistent threats to their most basic perceptions of ontological safety. This article seeks to examine the impact of the SARS-Cov-2 pandemic and to which degree it is justified to speak of a pandemic trauma. In addition, it engages with the liminality of pandemic trauma as a shared, collective and an isolated, individual experience, and potential mitigation strategies for building community resilience.
The Tutte polynomial is an important tool in graph theory. This paper provides an introduction to the two-variable polynomial using the spanning subgraph and rank-generating polynomials. The equivalency of definitions is shown in detail, as well as evaluations and derivatives. The properties and examples of the polynomial, i.e. the universality, coefficient relations, closed forms and recurrence relations are mentioned. Moreover, the thesis contains the connection between the dichromate and other significant polynomials.
Safety, quality, and sustainability concerns have arisen from global supply chains. Stakeholders incur risk regarding these factors, given their significance and complexity. Thus, each business's supply chain risk management must prioritize product characteristics. Accordingly, an effective traceability solution that can monitor and regulate product and supply chain aspects is crucial, especially in a given scenario. This re-search paper elucidates the potential of smart contracts in blockchain to enhancing the efficacy of business transactions and ensuring comprehensive traceability within the supply chain of paper-based coffee cups The improved levels of transaction transparency and security in traditional supply chains have been achieved through the digitization of supply chain ecosystem interactions and transactions. This approach makes verifying sources, manufacturing procedures, and quality standards easier in complex supply chains. Accordingly, the integration helps stakeholders monitor and track the whole ecosystem, promoting transparency, predictability, and dependability.
In the swiftly changing world of academic publishing, the Sea of Wisdom platform seizes the opportunity to innovate. By combining the technologies of blockchain, decentralized finance (DeFi), and Non-Fungible Tokens (NFTs) with traditional scholarly communication, we present a groundbreaking, decentralized solution. Our design, although adaptable, primarily uses Ethereum's Virtual Machine, tapping into its robust scientific community.