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This research paper examines the potential consequences of AI technology on democratic systems. The study focuses on two main areas: the weakening of the media and the emergence of "smart dictatorship." The paper examines the ways in which AI can be used to supervise, manipulate, and frustrate the media, thereby weakening its role as a check on government and corporate power. The study also explores how AI technology can be used to create an "omnidirectional monitoring" society, where individuals are constantly monitored and controlled through the use of "panopticon" techniques and "social bots". This can lead to the emergence of a "postdemocratic" society, characterized by growing inequality, dehumanization, and the
manipulation of information on online media platforms. The research methodology adopted in the study is qualitative, using expert interviews with three experts who
discussed the overall use of AI and its disruptive effects on democracy, such as the creation of fake news, filter bubbles, and algorithm bias. In conclusion, this research highlights the need for increased awareness and regulation of AI technology to ensure its responsible use and to protect democratic values.
Debt-overhang and ways out
(2014)
The focus of this paper is legacy debt and ways out of it. It introduces credit, debt and financial stress as a basis for understanding the ongoing financial crisis as well as solutions discussed in politics and media. We clarify why and when debt is too much, and discuss ways of avoiding outright default.
The main questions are
• What are the basics of debt and related financial problems?
• How much debt is too much?
• Why and when is default a problem to all of us?
• Is there a way out of the current debt crisis?
While debt and looming bankruptcy of governments is the focus of media attention, we will not neglect the fact, that households, banks and companies in many countries acquired too much debt as well and are therefore a source of problems of their own right.
Education lies at the foot of economic growth and human development. However, an increase in population tends to put a strain on existing education systems, especially in Africa where most countries are characterized by slow economic development, rapid population growth rates and a median age just shy of 20 years. Due to the slow rate of economic growth, many African countries lack the financial capability to provide proper education for their ever-growing populations or even already overpopulated regions, many of which have people who have reached the appropriate school-going age. This leads to a series of disruptive impacts on the education systems resulting in a people who are poorly or improperly educated, and thus are not equipped with the necessary skills required for the vast technical, professional and ever modernizing high-skill job markets such as construction, economic and technical professions, teaching occupations and so on, all of which drive economic growth and development. Therefore, we can see that rapid population growth, if left unchecked, may lead to overpopulation scenarios which could have a negative disruptive impact on education and human development, both of which are important factors necessary for economic growth.
Key words: Population, education, Africa, poverty, economy, development.
This study analyzes approaches to decarbonize the energy supply of the secondary steel processing industry. Therefore, real data from a secondary steel production company is used in combination with state-of-the art low carbon energy supply technologies. Also, the use of waste heat from a pusher furnace for process integration is considered. The developed temporal process model allows holistic optimizing and expanding the steel making process system regarding techno-economic criteria. As we show, implementing the annual heat demand of a municipality shows that a nearly 100 % self-sufficient heat supply is possible.
Kurzdarstellung
Kolumbien ist ein agrarwirtschaftlich geprägtes Land, indem eine Vielzahl verschiedener
landwirtschaftlicher Produkte, wie zum Beispiel Zuckerrohr, Kaffee oder Reis, angebaut
werden. Durch die jährlich anwachsende Menge an produzierten Gütern steigt auch die jährlich
produzierte Menge an landwirtschaftlichen Abfällen, welche Anwendung als erneuerbare
Energieträger finden können. Aufgrund der Tatsache, dass es in weiten Teilen Kolumbiens,
gerade in den ländlichen agrarwirtschaftlich geprägten Gebieten, Probleme mit der
Energieversorgung gibt, könnten die landwirtschaftlichen Abfälle genutzt werden, um vor Ort
Energie zu erzeugen und die Entwicklung dieser Regionen zu fördern.
Die Forschungsgruppe „Biomass and Optimization of Thermal Systems” (BIOT) der „National
University of Colombia“ beschäftigt sich mit genau diesem Thema. In dem Projekt „Efficient
Use of Alternative Carbonaceous Fuels in the Power Generation in Colombia by
Implementation of Fluidized Bed Reactors” ist geplant, eine zirkulierende Wirbelschichtanlage
zur Vergasung von Biomassepartikeln zu konstruieren. Wirbelschichtreaktoren besitzen
hervorragende Wärmetransporteigenschaften, sowie gute Partikelkontaktraten, welche
notwendig für einen thermochemischen Wandlungsprozess sind [1]. Das Ziel des Projektes ist
es zu untersuchen, welche der vor Ort anfallenden landwirtschaftlichen Abfälle effizient genutzt
werden können, um Energie durch Vergasungsprozesse unter Anwendung einer
Wirbelschichtanlage zu produzieren.
Die Auslegung des Wirbelschichtreaktors und die Modellierung des thermochemischen
Wandlungsprozesses hängt stark von den physischen und fluiddynamischen Eigenschaften der
verwendeten Biomassepartikel ab. Die vorliegende Arbeit beschäftigt sich mit der
experimentellen Bestimmung der wesentlichen Eigenschaften der Biomassepartikel. Dazu
gehören: die Partikelgrößenverteilung, der mittlere Partikeldurchmesser, die Schütt- und
Partikeldichte und der Feuchtigkeitsgehalt. Im Weiteren werden Fluidisierungsversuche mit
Mischungen aus Quarzsand, welcher als Bettmaterial dient, und verschiedenen zugeführten
Mengen an Biomassepartikeln durchgeführt. Dabei werden die charakteristischen Kenngrößen,
wie die Lockerungsgeschwindigkeit, und die Art der Fluidisierung bzw. die Art der sich
ausbildenden Schicht experimentell ermittelt, um Erkenntnisse darüber zu erlangen, ob die
verschiedenen landwirtschaftlichen Abfälle erfolgreich fluidisiert werden können.
Measuring IT security, compliance and data governance within small and medium-sized IT enterprises
(2020)
Biomass gasification is recognized as a viable avenue to accelerate the sustainable production of hydrogen. In this work, a numerical simulation model of air gasification of rice husks is developed using the Aspen Plus to investigate the feasibility of producing hydrogen-rich syngas. The model is experimentally validated with rice husk gasification results and other published studies. The influence of temperature and equivalence ratio on the syngas composition, H2 yield, LHVSyngas, H2/CO ratio, CGE, and PCG was studied. Furthermore, the synchronized effects of temperature and ER are studied using RSM to determine the operational point of maximizing H2 yield and PCG. The RSM analysis results show optimum performance at temperatures between 820 °C and 1090 °C and ER in the range of 0.06–0.10. The findings show that optimal operating conditions of the gasification system can be achieved at a more refined precision through simulations coupled with advanced optimization techniques.
SMath with Maxima
(2023)
Making and interpretation of drawings and schematics is an important skill to be developed in engineering education. The question type STACK in the Moodle learning management system combined with the interactive graphics library JSXGraph has a great potential for implementation of e-learning resources addressing these skills in formative and summative settings. The authoring process of such materials is complex due to multiple markup and programming languages like HTML, LaTeX, Maxima and JavaScript (JS) being involved. The Meclib concept mitigates this complexity and allows for efficient bulk production of material with consistent appearance and user experience. The core of Meclib is a set of pre-defined JSXGraph-based objects with an interface to Maxima, such that no problem specific JS code is required at all. The present paper outlines the basic ideas of the implementation and demonstrates the approach for some typical examples of different complexity. The focus is on applications in engineering mechanics, starting from static illustrations up to an editor for free body diagrams, with rich adaptive formative feedback.
Goal of the thesis is to research enhancement of the legislative robustness and its possibilities regarding nuclear security of mobile Small Modular Reactors (SMRs) in The Netherlands to improve the licensing process. SMRs are small Nuclear Power Plants (NPPs) with an electrical power output lower than 300 MWe with specific attributes like modularity and mobility, which is beneficial in serial manufacturing, like simplified design features, so fewer components allows for a higher reliability, like passive safety features, which connotes the behavior of components according to known laws of physics, for instance gravity, and like inherent safety features which are defined by reactor characteristics.
Chapter 2 reviews the inherent safety and security features of SMRs and its implications on nuclear safety and nuclear security. Chapter 3 deals with the international nuclear regulatory framework and its applicability towards licensing SMRs. Some IAEA Member States have revisioned their legal structure to optimize an SMR licensing process by applying a graded approach towards nuclear security and safety requirements. In Chapter 4 the Dutch nuclear regulatory framework and its impact on SMR developments related to nuclear safety and security are discussed. Suggestions and recommendations for possible legal adjustments are made. Chapter 5 approaches the harmonization of licensing requirements by proposing a more efficient alternative to the Dutch licensing process for all types of NPPs, including SMRs, as presented in international recommendations. Chapter 6 considers the need for SMRs and an alternative approach to the stakeholder involvement in the Dutch NPP licensing process.
Generally nuclear regulatory frameworks mainly focus on licensing conventional NPPs and the corresponding nuclear safety and security requirements and therefore prescribing overshooting regulations. Legal options to gradually approach safety and security requirements are deeply embedded in the Dutch Nuclear Energy Act and corresponding legislation. Combined with legal adjustments as denoted in the conclusions and recommendations, the adjustmenst are not only permittable and justifiable but also legally possible. Therefore, the licensing process of SMRs can be streamlined, establishing a harmonized and robust nuclear regulatory framework creating great opportunities for enriching the energy mix in The Netherlands with SMRs.
Competency Acquisition in Applied Knowledge Engineering An Approach based on Learning from Errors
(2018)
Knowledge Engineering Processes and Tools in Enterprise Environments - A Systematization Attempt
(2018)
The Great Shutdown
(2023)
This research aims to examine the potential impact of a military escalation of the China-Taiwan conflict on global economies, with a particular focus on the microchip production industry in Taiwan. The academic paper will analyze the current economic ties between Taiwan and other countries, as well as the potential consequences of a disruption in trade and production caused by a military conflict. The research will also examine the role of Taiwan's microchip industry in the global supply chain and its potential vulnerability to a disruption in the event of a military escalation. Additionally, this scientific paper will explore the possible economic responses of other countries and the international community to a military escalation of the China-Taiwan conflict. The research will use a combination of the systematic literature review and the scenario technique to demonstrate potential impact of a military escalation of the China-Taiwan conflict on global economies, with a specific focus on the microchip production industry in Taiwan.