This study analyzes 2008 presidential election coverage on The Daily Show with Jon Stewart and The Colbert Report to determine how they confront the tension between the genres of news and entertainment. To this point, much of the scholarly work on political entertainment news has focused on examining its effects on viewers' political attitudes and knowledge. A rhetorical analysis reveals the actual messages they convey and the strategies they employ to discuss contemporary American politics. Through comedic devices such as satire and parody, The Daily Show and The Colbert Report offer a venue for social commentary and criticisms of power at a time when traditional venues are dissipating, and these shows provide a place for serious political discourse that encourages dialogue that promotes civic engagement. / Master of Arts

I analyze comedian Stephen Colbert's performances as the bloviating "fake" pundit, "Stephen Colbert." Colbert's work reflects the progression of personality-driven media and performance-driven society. His frequent shifts and blending of characters – from actor and entertainer to pundit and politician – call attention to the similarly character-driven nature of "real" figures in politics and media. Using Kenneth Burke's theory of tragic and comic frames of acceptance, I analyze three sets of Colbert's performances – hosting The Colbert Report, speaking at the White House Correspondents' Association dinner, and running for president – as well as the conventional situations and discourses he complicates. I argue that Colbert's comic critique provides perspective by incongruity about the processes of production, mediation, and persuasion in the business of news punditry – and the literal staging of politics performed as entertainment.

Thesis (Ph. D.)--Yale University, 1912. / "Printed from type, 600 copies, July, 1912." Bibliography: p. 341-364.

As the amount of content online grows, information retrieval becomes increasingly crucial. Traditional information retrieval does not take the text order into account and is also dependent on exact text matching between the query and the document. Therefore, a query consisting of synonyms to words in a document will not retrieve that document even if it could have been relevant to the user. An alternative approach is dense retrieval which solves these issues by representing the semantic meaning of the query or document using a vector representation. Semantically similar queries and documents are represented with vectors close to each other in a vector space. Vector similarity search can be used to find the most relevant documents for a query. Since the semantic meanings of the words are used, synonyms and paraphrases are handled implicitly. There are several ways to design these representation vectors, either by using one or several vectors to represent each query or document, by changing the dimensionality of the vectors, or by changing the span of values in the vectors. Each option brings its trade-offs in terms of quality of search results, query latency, and index memory footprint. This study experimented with each of the alternatives above. Since most previous research within the area has been done in a monolingual, mainly English context, this study used four different languages to investigate if the trade-offs differed. In this study, the quality, latency, and memory footprint moved in the same direction, i.e., when the quality increased, then the latency increased as well. This was the case for all the languages. For the version that used one vector each for the document and query, decreasing the dimensionality to 128 or 64 gave significant latency improvements but did not affect the quality. For the larger version, which used 32 vectors for the query and 64 for the document, converting the values of vectors to binary had no significant effect on quality but greatly reduced the storage size. / Mängden innehåll på internet växer, och med det behovet av välfungerande informationssökningssystem. Traditionella sökmotorer tar inte hänsyn till ordföljden och är beroende av exakt textmatchning mellan sökfrågan och dokumentet. På grund av detta kommer en sökfråga som innehåller synonymer till ord i ett dokument inte att hämta det dokumentet, även om det hade kunnat vara relevant för användaren. En annan metod är tät informationssökning (en: Dense Retrieval) som löser de här problemen implicit genom att representera den semantiska betydelsen av sökfrågan eller dokumentet med en vektorrepresentation. Semantiskt lika sökfrågor och dokument representeras av närliggande vektorer i ett vektorrum. Likhetssökning med vektorerna kan användas för att hitta de mest relevanta dokumenten för en sökfråga. Eftersom ordens semantiska betydelse används, hanteras synonymer och parafraser implicit. Det finns flera sätt att utforma vektorerna, antingen genom att använda en eller flera vektorer för att representera varje sökfråga eller dokument, genom att ändra vektorernas dimensionalitet, eller genom att ändra spannet för vektorernas värden. Varje alternativ har sina egna för- och nackdelar med avseende på sökresultatens kvalitet, sökningarnas tidsåtgång, och hur mycket minne indexet upptar. I den här studien har vi undersökt alla ovanstående aspekter. Eftersom den mesta tidigare forskningen enbart har gjorts i en engelsk kontext, använder den här studien fyra olika språk för att se om föroch nackdelarna skiljde sig åt mellan de olika språken. I den här studien rörde sig kvaliteten, söktiden och minnesavtrycket i samma riktning, det vill säga när kvaliteten ökade, ökade också söktiden. Detta gällde för alla olika språk. För versionen som använde en vektor vardera för sökfrågan och dokumentet, gav en minskning av dimensionaliteten till 128 eller 64 betydande minskningar av söktiden men förändrade inte kvaliteten. För den större version som använde 32 vektorer för sökfrågan och 64 för dokumentet, gjorde inte en omvandling av vektorernas värden till binära någon skillnad för kvaliteten, men minskade lagringsutrymmet betydligt.

No description available.

Th. / Contient aussi quelques lettres adressées à Michel Le Tellier. Bibliogr. p. CXXV-CXLIV. Index.

This work presents optogenetics and real-time computer vision techniques to non-invasively manipulate and monitor neural activity with high spatiotemporal resolution in awake behaving Caenorhabditis elegans. These methods were employed to dissect the nematode's mechanosensory and motor circuits and to elucidate the neural control of wave propagation during forward locomotion. Additionally, similar computer vision methods were used to automatically detect and decode fluorescing DNA origami nanobarcodes, a new class of fluorescent reporter constructs.

Thesis (D. Min.)--Mid-America Baptist Theological Seminary, 1998. / Includes bibliographical references (leaves 129-135).

Thesis (D. Min.)--New Orleans Baptist Theological Seminary, 2008. / Abstract and vita. Includes final project proposal. Description based on Print version record. Includes bibliographical references (leaves 164-170, 65-67).

Sculpteur du règne de Louis XIV, Jean-Baptiste Théodon (1645-1713) se rattache à l’école française autant qu’à l’école romaine de sculpture. Formé auprès de Charles Le Brun à la Manufacture royale des Gobelins, il y rencontre Jean-Baptiste Colbert qui devient son premier mécène. Protégé par ce dernier qui l’envoie en Italie, Théodon rejoint en 1677 l’Académie de France à Rome où il sculpte pour Louis XIV et le château de Versailles. Parallèlement il prend part à la vie académique romaine. Membre actif de l’Accademia di San Luca et de la congrégation des Virtuosi al Pantheon, Théodon devient l’un des sculpteurs les plus recherchés de la Rome de la fin du Seicento, sollicité par les papes Innocent XII et Clément XI à Saint-Pierre de Rome et au Latran, et par les congrégations et les ordres religieux au Gesù et au Monte di Pietà. Appelé par Louis XIV, il revient à Paris en 1705 et contribue, durant ses dernières années, à la décoration des Maison royales de Marly et de Meudon. Abordant avec brio l’allégorie et la sculpture animalière pour Colbert, la mythologie et le genre historique pour Louis XIV, la sculpture funéraire et l’art du portrait pour Christine de Suède, le sculpteur s’illustre avant tout dans l’art religieux. Brillante personnalité artistique du XVIIe siècle, Théodon méritait une étude. Nous avons considéré sa vie et sa carrière, analysé sa manière et établi le corpus exhaustif de son œuvre. / Jean-Baptiste Théodon (1645-1713) was a French sculptor of the reign of Louis XIV who belonged both to the French and Italian schools of sculpture of the Seventeenth-Century. In the 1670’s during his training at the ‘Manufacture des Gobelins’ he worked under the supervision of Charles Le Brun and met the minister Jean-Baptiste Colbert. In 1677 he joined the French Academy in Rome where he carved garden sculptures for royal estates and for his protector Colbert. Early in his Roman carrier he was made member of the Academy of St Luke and member of the Congregazione dei Virtuosi al Pantheon where he met Bernini, the architect Carlo Fontana and the painter Carlo Maratta. Appreciated by the Pope Innocent XII he obtained several commissions at Saint-Peter’s (Baptismal chapel, Monument to Christine of Sweden) and at the same time he worked for the Jesuits at the Sant’Ignazio chapel at the Gesù. As one of the most significant sculptors of the end of the Roman Seicento he dedicated his last years in Rome to the pope Clement XI and the papal basilica before his return to Paris in 1705 where he worked for the Sun King and the ‘Maisons’ of Meudon and Marly. With the same maestria Jean-Baptiste Théodon carved allegories for Colbert, mythological and historical figures for Louis XIV, funeral sculptures and portrait for Christine of Sweden as well as works of art for Roman churches. The Ph.D. dissertation consists of a study of the career of the sculptor with an analysis of his artistic manner and its evolution from Paris to Rome. In addition the thesis includes the complete ‘catalogue raisonné’ of his works, sculptures and drawings.