45 research outputs found
Knüttelversiges Disputatorium. : Eine disharmonische Introduktions-Phantasie.
No full textHandwritten 20-page manuscript by Daniel Lessmann. Also included are a typed transcript and an explanatory letter by
H.G. Reissner.Daniel Lessmann wrote this play for his student Adolf Herz and his siblings Emmy, Toni, Luise, Jette, Emanuel, and
Betty, the children of the banker Leopold Edler von Herz, in whose house in Vienna Lessmann lived from the fall of 1817 to the spring
of 1820. The entire action takes place in Herz’s house, where the children and Lessmann himself appear, as does Ignaz v. Neuwall , who
belongs to one of nine ennobled Jewish families residing in Vienna at that time.Born in Soldin, Neumark (today Myślibórz, Poland) on January 18, 1794, Lessmann was an author who took part in the
German national uprising against Napoleonic rule. He committed suicide in Wittenberg on September 1, 1831.The original German-language inventory is available in the folde
Renewable Energy Subsidies: Second-Best Policy or Fatal Aberration for Mitigation?
No full textThis paper evaluates the consequences of renewable energy policies on welfare, resource rents and energy costs in a world where carbon pricing is imperfect and the regulator seeks to limit emissions to a (cumulative) target. We use a global general equilibrium model with an intertemporal fossil resource sector. We calculate the optimal second-best renewable energy subsidy and compare the resulting welfare level with an efficient first-best carbon pricing policy. If carbon pricing is permanently missing, mitigation costs increase by a multiple (compared to the optimal carbon pricing policy) for a wide range of parameters describing extraction costs, renewable energy costs, substitution possibilities and normative attitudes. Furthermore, we show that small deviations from the second-best subsidy can lead to strong increases in emissions and consumption losses. This confirms the rising concerns about the occurrence of unintended side effects of climate policy { a new version of the green paradox. We extend our second-best analysis by considering two further types of policy instruments: (1) temporary subsidies that are displaced by carbon pricing in the long run and (2) revenue-neutral instruments like a carbon trust and a feed-in-tariff scheme. Although these instruments cause small welfare losses, they have the potential to ease distributional conflicts as they lead to lower energy prices and higher fossil resource rents than the optimal carbon pricing policy.Feed-in-Tariff, Carbon Trust, Carbon Pricing, Supply-Side Dynamics, Green Paradox, Climate Policy
Potentiale durch den Einsatz von KI in der Bildung - adaptive Lernmaterialien und Lernpfade
No full textIn verschiedenen Lebensbereichen hat die Anwendung von Künstlicher Intelligenz (KI) heutzutage bereits an Bedeutung gewonnen. Auch im Bildungssektor existieren diverse Potenziale für den Einsatz von KI, welche jedoch bisher - insbesondere in der schulischen Bildung - nicht in großem Umfang genutzt werden. Diese Arbeit möchte einen Überblick relevanter Anwendungsfelder von KI im Bildungsbereich geben, wobei der Bereich der institutionellen Bildung im Vordergrund steht. Es sollen dabei sowohl die Chancen als auch die Risiken kritisch erörtert werden, wobei potenzielle Barrieren näher beleuchtet werden. Ein besonders vielversprechendes Anwendungsgebiet von KI in der Bildung ist die Personalisierung von Lernprozessen, welche in dieser Arbeit besonders herausgearbeitet werden. Beim personalisierten Lernen werden Lernpfade, Aufgabenstellungen und Feedbackmechanismen individuell auf die Bedürfnisse der Lernenden zugeschnitten. In der Domäne des Spracherwerbs existieren bereits einige Bildungsangebote, die sich der Unterstützung durch KI bedienen. Ein konkretes Fallbeispiel wird herangezogen und sowohl aus didaktischer als auch technologischer Perspektive analysiert. Abschließend wird ein Ausblick auf mögliche Entwicklungen im Bereich der KI im Bildungswesen gewährt, um potenzielle Perspektiven und Szenarien für die Zukunft aufzuzeigen.The use of AI has already gained importance in various areas of life. There are various potentials for the use of AI in the education sector, but these are not yet being used to any great extent. This paper aims to provide an overview of relevant areas of application for AI in the education sector, with a focus on institutional education. Both the opportunities and risks are critically discussed and possible obstacles are examined in more detail. One of the most promising area of application for AI in education is the personalization of learning processes.
Learning paths, tasks and feedback mechanisms are individually tailored to the needs of learners. This paper attempts to identify the particular potential in this area. In the field of language learning, there are already a number of educational programs that use the support of AI. A specific case study is presented and analyzed from both a didactic and technological perspective. Finally, an outlook on possible developments in the field of AI in education is given to show possible perspectives and scenarios for the future
Temperature Compensation Method for an Optical Direct Current Sensor Using Two Wavelengths and Technical Current Ripple
No full textApplications of Advanced Analytics to the Promotion of Freemium Goods
No full text“Freemium” (Free + Premium) hat sich zu einem führenden Preismodell für digitale Güter entwickelt. Dabei kann die Basisversion eines Produkts, z.B. von Handy-Applikationen (“Apps”), unbegrenzt kostenlos genutzt werden und Firmen bieten Premium-Erweiterungen gegen Bezahlung an. Konsumenten haben in 2018 194 Milliarden mal Apps heruntergeladen und 101 Milliarden US-Dollar für In-App-Einkäufe ausgegeben. Beinahe 80% des Umsatzes auf App-Stores wird dabei durch Handyspiele generiert. 2,4 Milliarden Menschen haben in 2019 Handyspiele gespielt, was der Hälfte aller App-Nutzer im gleichen Zeitraum entspricht.
Die Hauptthese dieser Dissertation ist, dass preisreduzierende Sonderangebote von großer Wichtigkeit für das Vermarkten von Freemium-Gütern sind: Obwohl Freemium bereits eine extreme Preis-Reduktion darstellt, indem es ein Produkt Konsumenten kostenlos zum Ausprobieren zur Verfügung stellt, können demnach Firmen durch die Nutzung weiterer Sonderangebotstaktiken höhere Profite generieren. Die Arbeit postuliert weiter (und beweist dies empirisch), dass lange angenommene Risiken in der Nutzung von Sonderangeboten, die vor allem bei klassischen Konsumgütern etabliert wurden, im Freemium-Bereich in dieser Form nicht zutreffen. Diese Perspektive entwickelt und vertieft der Autor über vier individuelle Papiere, die zusammen mit einer einleitenden Zusammenfassung die fünf Kapitel dieser Dissertation ausmachen.
Die vorliegende Arbeit ist empirischer Natur und wendet “Advanced Analytics”, insbesondere Feldexperimente und maschinelles Lernen, in Zusammenarbeit mit Firmen an. Als repräsentativer Forschungsgrund dienen dabei Freemium-Handyspiele, in denen Firmen detaillierte Daten über Interaktionen mit Kunden sammeln. Anhand dieser Daten leitet der Autor neue Kenntnisse über Kundenverhalten ab und entwickelt Entscheidungsunterstützungssysteme, die es Firmen ermöglichen, höhere Gewinne beim Verkauf von Freemium-Gütern zu erzielen.“Freemium” (free + premium) has become a workhorse pricing model in the digital economy: A basic version of a product or service, e.g., mobile applications (“apps”), can be used for free in perpetuity and premium upgrades are available against payment of a fee. Consumers downloaded apps 194 billion times in 2018 and spent $101 billion on in-app purchases in the same time period. Accounting for almost 80% of that revenue, gaming in particular has seen an unparalleled expansion of demand. It is estimated that 50% of mobile app users play games regularly and that a global total of 2.4 billion people will play mobile games in 2019.
The core thesis of this dissertation is that promotions are essential to the marketing of freemium goods such as mobile apps and games. While freemium already represents a promotional pricing tactic in using a zero price for free sampling, the author conjectures that firms can operate their freemium offerings more profitably by using further promotional tactics, especially targeted and personalized promotions, to sell premium upgrades. The author also argues (and shows) that widespread concerns around the use of promotions, particularly developed in the setting of consumer packaged goods, do not apply in the same way in this setting. This thinking is qualified and developed across four chapters that represent individual papers after providing an introduction to the work in the first chapter.
The work is empirical in nature and applies advanced analytics, in particular field experimentation and machine learning, in collaboration with firms. As representative of the freemium app economy, the collaborating firms observe dense user data that enable the author to both derive insights on consumer behavior that extend existing conceptual thinking in the field of marketing and to devise decision support and expert systems that allow firms to operate more profitably in this setting
Challenge-Aware Traffic Protection in Wireless Mobile Backhaul Networks
No full textTo protect active traffic against link or node failures in multi-hop communications networks, several so-called protection schemes have been introduced in the past. The most established ones are path, segment, node and link protection. However, these schemes are limited as challenges are modelled abstractly whereas challenges in real networks can have very different characteristics. Thus, we propose to explicitly take the high impact challenges by introducing a risk-group concept into the multi-path placement scheme, which provides an evaluation of the likelihood of a challenge to simultaneously affect two network elements. We have implemented and evaluated this new methodology in simulations and show that it outperforms the original scheme.Network Architectures and Services Group (NAS)Electrical Engineering, Mathematics and Computer Scienc
Calculus using proximities: a mathematical approach in which students can actually prove theorems
No full textAbstract
Teaching and learning calculus are notoriously difficult and the didactic solutions may involve resorting to intuitive but vague definitions or informal gestures offered as proofs. The teaching literature is rife with examples of metaphors, adverb manipulations and descriptions of what happens “just before” the limit. It is then difficult to leave the domain of the mental image, thus losing the training in rigour. The author (with Karel Hrbacek and Olivier Lessmann) has endeavoured a radically different approach with the objective of training students to prove theorems while preserving both intuition and mathematical rigour. Hence we change the mathematical setting rather than the didactic setting. The result (which is a by-product of nonstandard analysis) has been used in several high schools in Geneva – Switzerland – for over ten years.</jats:p
Calculus using proximities: a mathematical approach in which students can actually prove theorems
No full textTeaching and learning calculus are notoriously difficult and the didactic solutions may involve resorting to intuitive but vague definitions or informal gestures offered as proofs. The teaching literature is rife with examples of metaphors, adverb manipulations and descriptions of what happens “just before” the limit. It is then difficult to leave the domain of the mental image, thus losing the training in rigour. The author (with Karel Hrbacek and Olivier Lessmann) has endeavoured a radically different approach with the objective of training students to prove theorems while preserving both intuition and mathematical rigour. Hence we change the mathematical setting rather than the didactic setting. The result (which is a by-product of nonstandard analysis) has been used in several high schools in Geneva – Switzerland – for over ten years
The relevance of epistemic analysis to sustainability economics and the capability approach
No full textThis paper considers how epistemic analyses (Birkin and Polesie, 2011; Foucault, 1970, 1990a, 1990b) may assist with the development of sustainability economics (Bartelmus, 2010; Baumgartner and Quaas, 2010a, 2010b; and Soderbaum, 2011) and the capability approach (Ballet et al., 2011; Martins, 2011; Rauschmayer and Lessmann, 2011; Scerri, 2012). It was the French social theorist Michel Foucault (1926-1984) who coined the term "episteme" to refer to the "possibility of knowledge" that determines the development of thought and knowledge in a given period. For Foucault epistemes were the "buried" foundations of knowledge that his epistemic "archaeology" could unearth. In 2007, Foucault was identified as the most cited author of books in the humanities by Thomson Reuters' ISI Web of Science. This paper begins with a brief definition and description of epistemic analyses. A summary analysis of the Modern episteme and neoclassical economics is then provided and this is followed by outline evidence for the emerging episteme. Finally the opportunity is considered for the emerging episteme to reinforce and enhance sustainability economics and the capability approach. (C) 2013 Elsevier B.V. All rights reserved
