Analyzing Visual Mappings of Traditional and Alternative Music Notation

In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more structured analysis of the design space of music notation, enabling the creation of alternative music notations that are tailored to different users and their tasks. Hence, we discuss the instantiation of a design and visualization pipeline for music notation that follows a structured approach, based on the fundamental concepts of information and data visualization. This enables practitioners and researchers of digital humanities and information visualization, alike, to conceptualize, create, and analyze novel music notation methods. Based on the analysis of relevant stakeholders and their usage of music notation as a mean of communication, we identify a set of relevant features typically encoded in different annotations and encodings, as used by interpreters, performers, and readers of music. We analyze the visual mappings of musical dimensions for varying notation methods to highlight gaps and frequent usages of encodings, visual channels, and Gestalt laws. This detailed analysis leads us to the conclusion that such an under-researched area in information visualization holds the potential for fundamental research. This paper discusses possible research opportunities, open challenges, and arguments that can be pursued in the process of analyzing, improving, or rethinking existing music notation systems and techniques.Comment: 5 pages including references, 3rd Workshop on Visualization for the Digital Humanities, Vis4DH, IEEE Vis 201

Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species

Invasive species are a major cause of ecological damage and commercial losses. A current problem spreading in North America and Europe is the vinegar fly Drosophila suzukii. Unlike other Drosophila, it infests non-rotting and healthy fruits and is therefore of concern to fruit growers, such as vintners. Consequently, large amounts of data about infestations have been collected in recent years. However, there is a lack of interactive methods to investigate this data. We employ ensemble-based classification to predict areas susceptible to infestation by D. suzukii and bring them into a spatio-temporal context using maps and glyph-based visualizations. Following the information-seeking mantra, we provide a visual analysis system Drosophigator for spatio-temporal event prediction, enabling the investigation of the spread dynamics of invasive species. We demonstrate the usefulness of this approach in two use cases

Risiko Rohstoffversorgung: die Bestimmung kritischer Metalle und Mineralien in den USA, der EU und Deutschland in Studien und Zeitschriften der Jahre 2007-2012

Hochtechnologieländer wie die Bundesrepublik Deutschland und die USA sind auf eine sichere Versorgung mit Metallen und Mineralien zu erschwinglichen Preisen angewiesen. Im Unterschied zum Energieträger Öl ist derzeit immerhin nicht mit einer baldigen Erschöpfung der meisten metallischen Ressourcen zu rechnen. Ungeachtet dessen ist die Versorgungssicherheit aufgrund steigender und volatiler Preise und angesichts von Lieferengpässen mittlerweile weit oben auf die politischen Agenden dies- und jenseits des Atlantiks gerückt. Beim letzten Treffen des Transatlantischen Wirtschaftsrats im November 2011 bekräftigten EU und USA, in Sachen Rohstoffe eng zusammenarbeiten zu wollen. Doch wie groß sind die Spielräume für gemeinsame Projekte? Einen ersten Hinweis gibt die Vielzahl an sogenannten Kritikalitätsstudien, die bemessen, wie gefährdet die Versorgung mit Rohstoffen für einzelne Technologien, Sektoren oder auch die gesamte Volkswirtschaft der USA, der EU und Deutschlands ist. (Autorenreferat

A Cell-Permeable Inhibitor to Trap Gαq Proteins in the Empty Pocket Conformation

In spite of the crucial role of heterotrimeric G proteins as molecular switches transmitting signals from G protein-coupled receptors, their selective manipulation with small molecule, cell-permeable inhibitors still remains an unmet challenge. Here, we report that the small molecule BIM-46187, previously classified as pan-G protein inhibitor, preferentially silences Gαq signaling in a cellular context-dependent manner. Investigations into its mode of action reveal that BIM traps Gαq in the empty pocket conformation by permitting GDP exit but interdicting GTP entry, a molecular mechanism not yet assigned to any other small molecule Gα inhibitor to date. Our data show that Gα proteins may be “frozen” pharmacologically in an intermediate conformation along their activation pathway and propose a pharmacological strategy to specifically silence Gα subclasses with cell-permeable inhibitors

Hochauflösende Mikroskopie und Spektroskopie an einzelnen Fehlstellenzentren in Diamant

This thesis deals with the application of single Nitrogen-vacancy centers to precise localization techniques in microscopy and magnetic sensing of single spins in liquids. It will give an introduction to imaging theory and recent methods of superresolution microscopy. After that, basic properties of the Nitrogen-vacancy center will be described, as well as its applications to measurements of magnetic fields and external spins outside the diamond. The experimental part of this work presents a description of the configurations of the setup for the performed experiments. This is followed by a detailed discussion about the measurements and the results. Chapter 4 will present superresolution measurements on NV centers by GSD microscopy. With this nonlinear imaging technique, a resolution below 20 nm in the plane perpendicular to the optical axis have been achieved. In fact, we were able to resolve a pair of two NV centers as close as 14 nm. The main work of this thesis consists of a second type of experiment. Fluorescence imaging with one-nanometer accuracy (FIONA) was applied and adapted, to determine the depth of implanted NV centers. We report an achieved accuracy of about 2.6 nm along the optical axis for shallow emitters. Additionally, it was shown that the shift of a focal point in a high refractive index material is dependent on its distance to the surface. For this issue a theoretical model was calculated that matches the behavior of our experimental results. The last type of performed experiments uses shallow implanted single NV centers to combine the determination of depth to their sensitivity of external spins. This was done by measuring the effect of single spins in liquids near the surface of the diamond on the coherence times of NV centers. Hence, we show the realization of a microfluidic chamber and prove a sensitivity of the NV centers to a small number (< 100) of external spins

Analyzing Visual Mappings of Traditional and Alternative Music Notation

In this paper, we postulate that combining the domains of information visualization and music studies paves the ground for a more structured analysis of the design space of music notation, enabling the creation of alternative music notations that are tailored to different users and their tasks. Hence, we discuss the instantiation of a design and visualization pipeline for music notation that follows a structured approach, based on the fundamental concepts of information and data visualization. This enables practitioners and researchers of digital humanities and information visualization, alike, to conceptualize, create, and analyze novel music notation methods. Based on the analysis of relevant stakeholders and their usage of music notation as a mean of communication, we identify a set of relevant features typically encoded in different annotations and encodings, as used by interpreters, performers, and readers of music. We analyze the visual mappings of musical dimensions for varying notation methods to highlight gaps and frequent usages of encodings, visual channels, and Gestalt laws. This detailed analysis leads us to the conclusion that such an under-researched area in information visualization holds the potential for fundamental research. This paper discusses possible research opportunities, open challenges, and arguments that can be pursued in the process of analyzing, improving, or rethinking existing music notation systems and techniques.publishe

Visual Soccer Analytics : Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction

With recent advances in sensor technologies, large amounts of movement data have become available in many application areas. A novel, promising application is the data-driven analysis of team sport. Specifically, soccer matches comprise rich, multivariate movement data at high temporal and geospatial resolution. Capturing and analyzing complex movement patterns and interdependencies between the players with respect to various characteristics is challenging. So far, soccer experts manually post-analyze game situations and depict certain patterns with respect to their experience. We propose a visual analysis system for interactive identification of soccer patterns and situations being of interest to the analyst. Our approach builds on a preliminary system, which is enhanced by semantic features defined together with a soccer domain expert. The system includes a range of useful visualizations to show the ranking of features over time and plots the change of game play situations, both helping the analyst to interpret complex game situations. A novel workflow includes improving the analysis process by a learning stage, taking into account user feedback. We evaluate our approach by analyzing real-world soccer matches, illustrate several use cases and collect additional expert feedback. The resulting findings are discussed with subject matter experts.publishe

Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data

Urbanization is an increasing global trend resulting in a strong increase in public and individual transportation needs. Accordingly, a major challenge for traffic and urban planners is the design of sustainable mobility concepts to maintain and increase the long-term health of humans by reducing environmental pollution. Recent developments in sensor technology allow the precise tracking of vehicle sensor information, allowing a closer and more in-depth analysis of traffic data. We propose a visual analytics system for the exploration of environmental factors in these high-resolution and high-dimensional mobility sensor data. Additionally, we introduce an interactive visual logging approach to enable experts to cope with complex interactive analysis processes and the problem of the reproducibility of results. The usefulness of our approach is demonstrated via two expert studies with two domain experts from the field of environment-related projects and urban traffic planning.publishe