In der umfangreichen Briefsammlung aus dem Nachlass von Johann Batka, die knapp 10.000 Einheiten umfasst, befinden sich auch fast 100 Briefe des Leipziger Musikverlags Breitkopf & Härtel, die aus den Jahren 1900 bis 1917 stammen. Bis auf einige Ausnahmen betreffen alle Briefe eines der größten Projekte dieses Verlags - die kritische Gesamtausgabe Franz Liszts, an der Johann Batka als externer Mitarbeiter beteiligt war.

Die Briefe des tschechischen Komponisten Josef Suk an den Dirigenten Oskar Nedbal nach Wien wurden überwiegend in den Jahren 1910 bis 1914 abgefasst und geben die Atmosphäre um die Aufführung von Suks Werken in Wien wieder. Dieser Briefwechsel ist ein Beleg für die Bemühungen Oskar Nedbals, das Wiener Publikum mit dem Werk des talentierten Dvořákschülers und führenden Vertreters der so genannten tschechischen Moderne Josef Suk bekannt zu machen.

<p>    </p> <p>Lam, Luchcha. M.S., Purdue University, May 2023. Believe in the Sound You See: The Effects of Body Type and Voice Pitch on the Perceived Audio-Visual Correspondence and Believability of Virtual Characters. Major Professor: Nicoletta Adamo. </p> <p>We examined the effects of body type and voice pitch of virtual characters’ on perceived audio-visual correspondence and believability. For our within-group study, we developed nine experimental conditions using a 3 (body type: ectomorph vs. mesomorph vs. endo- morph body types) × 3 (voice pitch: low vs. medium vs. high fundamental frequency [F0]). We found significant main effects from voice pitch and significant interaction effects between a character’s body type and voice pitch on both the level of perceived audio-visual correspondence and believability of female and male characters. For female characters, we also observed an additional significant main effect from body type and a significant interac- tion effect between the participant’s biological sex and the character’s voice pitch on both perceived audio-visual correspondence and believability. Moreover, the results show that perceived believability is highly correlated to perceived audio-visual correspondence. Our findings have important practical implications in applications where the character is meant to be an emotional or informational guide that requires some level of believability, as the findings suggest that it is possible to enhance the believability of the characters by generating appropriate voices through pitch manipulation of existing voices. </p>

The Casas Grandes region of northern Mexico is an understudied, though important, part of the culture area that has come to be known as the Northwest/Southwest (NW/SW). What studies have been conducted in the Casas Grandes region have focused on the Medio Period (approximately 1200-1450 AD) and the large site of Paquimé. Only a small amount of research has been conducted on the preceding Viejo Period (approximately 700-1200 AD). In this thesis, I create a clearing house of published Viejo Period architectural features excavated in the Casas Grandes region. I also analyze those features to develop our understanding of the materials and technological choices used to construct these features, and to evaluate the validity of sub-regional zones which have begun to develop within the archaeological literature from this area. These analyses include a qualitative analysis of the excavated architectural features as well as statistical clustering methods, a Principal Components Analysis, and a Correspondence Analysis of available architectural data. I ultimately propose revisions to the existing architectural typology for the Viejo Period and the abandonment of the concept of sub-regional zones within the Casas Grandes region. I also observe some emerging patterns within the architectural data and suggest that further research is needed to fully understand the distribution of architectural features throughout the region.

This study documents the problematic translator-publisher relationship in the case of the English translation of Simone de Beauvoir’s Le deuxième sexe. The socio-historical investigation of the case study demonstrates that the 1953 translation was complicated by several factors: the translator’s lack of philosophical knowledge, the editor’s demands to cut and simplify the text, the publisher’s intention to emphasize the book’s scientific cachet, and Beauvoir’s lack of cooperation. The investigation focuses on two aspects: the translator’s subservience and the involvement of multiple actors. Primarily concerned with the interaction between the translator and other actors, this study seeks answers that require investigation into historical documents and the work of other scholars critical of The Second Sex. In this enquiry, more than one hundred letters between the translator, H. M. Parshley, and the publisher, Knopf, are thoroughly analyzed. The study combines Bruno Latour’s and Pierre Bourdieu’s sociological concepts in order to provide a more detailed and encompassing examination within the context of Translation Studies. The letter correspondence is the primary evidence on which the study’s conclusions are based. / Social Sciences and Humanities Research Council of Canada

There is ongoing research into building dense correspondence between digital images of objects in the world and estimating the 3D pose of these objects. This is a difficult area to conduct research due to the lack of availability of annotated data. Annotating each pixel is too time-consuming. At the time of this writing, current research has managed to use neural networks to establish a dense pose estimation of human body parts (feet, chest, legs etc.). The aim of this thesis is to investigate if a model can be developed using neural networks to perform dense pose estimation on human feet. The data used in evaluating the model is generated using proprietary tools. Since this thesis is using a custom model and custom dataset, one model will be developed and tested with various experiments to gain an understanding of the different parameters that influence the model’s performance. Experiments showed that a model based on DeepLabV3 is able to achieve a dense pose estimation of feet with a mean error of 1.0cm. The limiting factor for a model’s ability to estimate a dense pose is based on the model’s ability to classify the pixels in an image accurately. It was also shown that discontinuous UV unwrapping greatly reduced the model’s dense pose estimation ability. The results from this thesis should be considered preliminary and need to be repeated multiple times to account for the stochastic nature of training neural networks. / Pågående forskning undersöker hur man kan skapa tät korrespondens mellan digitala bilder av objekt i världen och uppskatta de objektens 3D-pose. Detta är ett svårt område att forska inom på grund av bristen på tillgänglig annoterad data. Att annotera varje pixel är tidskrävande. Vid tiden för detta skrivande har aktuell forskning lyckats använda neurala nätverk för att etablera en tät pose-estimering av mänskliga kroppsdelar (fötter, bröst, ben osv.). Syftet med denna arbete är att undersöka om en modell kan utvecklas med hjälp av neurala nätverk för att utföra dense pose-estimering av mänskliga fötter. Data som används för att utvärdera modellen genereras med hjälp av proprietära verktyg. Eftersom denna arbete använder en anpassad modell och anpassad dataset kommer en modell att utvecklas och testas med olika experiment för att förstå de olika parametrarna som påverkar modellens prestanda. Experiment visade att en modell baserad på DeepLabV3 kan uppnå en dense pose-estimering av fötter med en medelfel på 1,0 cm. Den begränsande faktorn för en modells förmåga att uppskatta en dense pose baseras på modellens förmåga att klassificera pixlarna i en bild korrekt. Det visades också att oregelbunden UV-uppackning avsevärt minskade modellens förmåga att estimera dense pose. Resultaten från denna avhandling bör betraktas som preliminära och behöver upprepas flera gånger för att ta hänsyn till den stokastiska naturen hos träning av neurala nätverk.

One of the major goals of this thesis is to investigate the extent to which correspondence noise, (i.e., the false pairing of dots in adjacent frames) limits motion detection performance in random dot kinematograms (RDKs). The performance measures of interest are Dmax and Dmin i.e., the largest and smallest inter-frame dot displacement, respectively, for which motion can be reliably detected. Dmax and threshold coherence (i.e., the smallest proportion of dots that must be moved between frames for motion to be reliably detected) in RDKs are known to be affected by false pairing or correspondence noise. Here the roles of correspondence noise and receptive field geometry in limiting performance are investigated. The range of Dmax observed in the literature is consistent with the current information-limit based interpretation. Dmin is interpreted in the light of correspondence noise and under-sampling. Based on the psychophysical experiments performed in the early parts of the dissertation, a model for correspondence noise based on the principle of receptive field scaling is developed for Dmax. Model simulations provide a good account of psychophysically estimated Dmax over a range of stimulus parameters, showing that correspondence noise and receptive field geometry have a major influence on displacement thresholds.

[pt] Modelos CAD 3D ricos em dados são essenciais durante os diferentes estágios do ciclo de vida de projetos de engenharia. Devido à recente popularização da metodologia Modelagem de Informação da Construção e do uso de Gêmeos Digitais para a manufatura inteligente, a quantidade de detalhes, o tamanho, e a complexidade desses modelos aumentaram significativamente. Apesar desses modelos serem compostos de várias geometrias repetidas, os softwares de projeto de plantas geralmente não proveem nenhuma informação de instanciação. Trabalhos anteriores demonstraram que removendo a redundância na representação dos modelos CAD 3D reduz significativamente o armazenamento e requisição de memória deles, ao passo que facilita otimizações de renderização. Este trabalho propõe um arcabouço para correspondência de formas baseado em aprendizado profundo que minimiza as informações redundantes de um modelo CAD 3D a esse respeito. Nos apoiamos nos avanços recentes no processamento profundo de nuvens de pontos, superando desvantagens de trabalhos anteriores, como a forte dependencia da ordenação dos vértices e topologia das malhas de triângulos. O arcabouço desenvolvido utiliza nuvens de pontos uniformemente amostradas para identificar similaridades entre malhas em modelos CAD 3D e computam uma matriz de transformação afim ótima para instancia-las. Resultados em modelos CAD 3D reais demonstram o valor do arcabouço proposto. O procedimento de registro de nuvem de pontos desenvolvido atinge um erro de superfície menor, ao mesmo tempo que executa mais rápido que abordagens anteriores. A abordagem supervisionada de classificação desenvolvida antinge resultados equivalentes em comparação com métodos limitados anteriores e os superou significativamente num cenário de embaralhamento de vértices. Propomos também uma abordagem auto-supervisionada que agrupa malhas semelhantes e supera a necessidade de rotular explicitamente as geometrias no modelo CAD 3D. Este método auto-supervisionado obtém resultados competitivos quando comparados às abordagens anteriores, até mesmo superando-as em determinados cenários. / [en] Data-rich 3D CAD models are essential during different life-cycle stages of engineering projects. Due to the recent popularization of Build Information Modeling methodology and the use of Digital Twins for intelligent manufacturing, the amount of detail, size, and complexity of these models have significantly increased. Although these models are composed of several repeated geometries, plant-design software usually does not provide any instancing information. Previous works have shown that removing redundancy in the representation of 3D CAD models significantly reduces their storage and memory requirements, whilst facilitating rendering optimizations. This work proposes a deep-learning-based shape-matching framework that minimizes a 3D CAD model s redundant information in this regard. We rely on recent advances in the deep processing of point clouds, overcoming drawbacks from previous work, such as heavy dependency on vertex ordering and topology of triangle meshes. The developed framework uses uniformly sampled point clouds to identify similarities among meshes in 3D CAD models and computes an optimal affine transformation matrix to instantiate them. Results on actual 3D CAD models demonstrate the value of the proposed framework. The developed point-cloud-registration procedure achieves a lower surface error while also performing faster than previous approaches. The developed supervised-classification approach achieves equivalent results compared to earlier, limited methods and significantly outperformed them in a vertex shuffling scenario. We also propose a selfsupervised approach that clusters similar meshes and overcomes the need for explicitly labeling geometries in the 3D CAD model. This self-supervised method obtains competitive results when compared to previous approaches, even outperforming them in certain scenarios.

Integrabilität hat sich als ein mächtiges Werkzeug zur Berechnung von Observablen in der AdS/CFT-Korrespondenz erwiesen. Zunächst für das planare Spektralproblem entdeckt, wurden auch Methoden zur Berechnung von Mehrpunktfunktionen entwickelt. In dieser Arbeit wird diese Korrespondenz für AdS5/CFT4 und AdS3/CFT2 betrachtet mit dem Ziel, den integrablen Formalismus zu erweitern. Teil I behandelt Integrabilität in der N=4 SYM-Theorie, wo der Hexagon-Formalismus die Berechnung von Dreipunktfunktionen ermöglicht. Dazu wird der Korrelator in zwei hexagonale Stücke zerlegt. Die lokalen Operatoren müssen im Spinkettenbild als Bethe-Zustand zerschnitten und ein verschränkter Zustand konstruiert werden. Der Hexagon-Formalismus wird hier auf Sektoren mit höherem Rang erweitert, wobei die operatorartige Struktur erhalten und nur minimale Informationen aus dem geschachtelten Bethe-Ansatz genutzt werden. Weiterhin erlaubt die Betrachtung von Doppelanregungen im Spinkettenbild die Realisierung aller Felder der N=4 SYM-Theorie. Der chirale Yang-Mills-Feldstärketensor wird aus vier Fermionen in führender Ordnung der Kopplung konstruiert, eine Methode zur Einsetzung des Lagrangeoperators im Hexagon-Formalismus wird vorgeschlagen und ein erster Test durchgeführt. Teil II behandelt den Hexagon-Formalismus für Superstrings auf AdS3xS3xT4 Hintergründen mit einer Mischung von Ramond-Ramond und Neveu-Schwarz-Neveu-Schwarz Flüssen. Der Formfaktor wird für Ein- und Zwei-Teilchen-Zustände konstruiert und lässt sich für viele Teilchen unter Nutzung der S Matrix verallgemeinern. Schließlich werden die thermodynamischen Bethe-Ansatz (TBA)-Gleichungen betrachtet, die von Frolov und Sfondrini für das Spektrum von Strings auf reinem Ramond-Ramond AdS3xS3xT4 Hintergrund konstruiert wurden. Bei schwacher Kopplung lassen sich die TBA-Gleichungen erheblich vereinfachen. Der Beitrag zu den anomalen Dimensionen in führender Ordnung ist auf masselose Anregungen zurückzuführen. / Integrability proved to be a powerful tool to calculate observables in the AdS/CFT correspondence. At first discovered in the planar spectral problem, methods have since been devised for calculating higher-point functions as well. In this thesis we will consider two instances of the correspondence, that is AdS5/CFT4 as well as AdS3/CFT2, aiming at extending the integrability framework. In Part I we focus on integrability in N=4 SYM theory, where the hexagon form factor provides a formalism to calculate three-point functions. For this, the correlator is cut into two hexagonal patches. Considering the local operators in the spin chain picture, the Bethe states also need to be cut, resulting in an entangled state. In this thesis, we extend the hexagon formalism to higher-rank sectors, while preserving its operator-like structure and importing a minimum of information from the nested Bethe ansatz. Moreover, considering double excitations in the spin chain picture allows us to accommodate for the full set of fields in N=4 SYM theory. We build the chiral Yang-Mills field strength tensor from four fermions at leading order in the coupling, put forward a Lagrangian insertion method in the hexagon formalism and perform a first test. In Part II we propose a hexagon formalism for superstrings in AdS3×S3×T4 backgrounds with an arbitrary mixture or Ramond-Ramond and Neveu-Schwarz-Neveu-Schwarz fluxes. We bootstrap the hexagon form factor for one- and two-particle states from symmetry and give a proposal for the evaluation of many particle states in terms of the theorie's S matrix. Finally, we consider the thermodynamic Bethe ansatz (TBA) equations constructed by Frolov and Sfondrini for the spectrum of strings on the pure-Ramond-Ramond AdS3×S3×T4 background. Here we study the small tension limit of the mirror TBA equations and find that the equations simplify considerably. We observe that the leading-order contribution to the anomalous dimensions is due to massless excitations.

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