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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.