Towards a Framework for the Discovery of Collections of Live Music Recordings and Artefacts on the Semantic Web

This paper introduces a platform for the representation and discovery of live music recordings and associated artefacts based on a dedicated data model. We demonstrate our technology by implementing a Web-based discovery tool for the Grateful Dead collection of the Internet Archive, a large collection of concert recordings annotated with editorial metadata. We represent this information using a Linked Data model complemented with data aggregated from several additional Web resources discussing and describing these events. These data include descriptions and images of physical artefacts such as tickets, posters and fan photos, as well as other information, e.g. about location and weather. The system uses signal processing techniques for the analysis and alignment of the digital recordings. During the discovery, users can juxtapose and compare different recordings of a given concert, or different performances of a given song by interactively blending between them

Der Wert der chirurgischen Therapie beim hepatisch metastasierten Nierenzellkarzinom im Zeitalter von Tyrosinkinaseinhibitoren

Das Management von Patienten mit einem metastasierten Nierenzellkarzinom (mNZK) befindet sich in ständigem Wandel und erfolgt zunehmend in einem multidisziplinären Ansatz. Die Entwicklung einer zielgerichteten Therapie mittels Tyrosinkinaseinhibitoren (TKIs) stellt einen Meilenstein in der Behandlung dieser Erkrankung dar. Da jedoch eine komplette Remission unter rein medikamentöser Behandlung noch immer selten beobachtet wird, spielt die chirurgische Entfernung des Primärtumors und seiner Metastasen eine wichtige Rolle im multimodalen Behandlungskonzept dieser Patienten. Dies gilt insbesondere dann, wenn ein kurativer Therapieansatz verfolgt wird. Die vorliegende Arbeit analysiert retrospektiv medizinische Daten von 35 Patienten mit einem mNZK, welche bei histologisch gesicherten Lebermetastasen zwischen 1992 und 2015 am Universitätsklinikum Leipzig mittels einer leber-gerichteten Therapie (LDT) behandelt wurden. Bei einem Teil der Patienten (16 Patienten) wurde nach chirurgischer bzw. interventioneller Behandlung der Lebermetastasen eine sofortige TKI-Therapie begonnen. Wir konnten zeigen, dass eine zeitnah postoperativ begonnene Therapie mit TKIs signifikant mit einem verbesserten Gesamtüberleben (OS) korrelierte und zudem eine signifikante Verlängerung der Zeit bis zum Tumorprogress (PFS) zu beobachten war. Daneben konnten in der multivariaten Überlebenszeitanalyse nach Leberresektion die TKI-Therapie, der ECOG-Status (p = 0.001) sowie das Metastasierungsverhalten (p = 0.015) als unabhängige prognostische Parameter identifiziert werden. Diese Ergebnisse stärken die Empfehlung, dass die LDT im Zeitalter der TKI-Therapie bei geeigneten Patienten ein sicheres und zuverlässiges additives Verfahren im multimodalen Behandlungskonzept des mNZK darstellt. Vor dem Hintergrund von neuen und potenteren systemischen Therapieoptionen (TT und Checkpointinhibitortherapie) spielt eine sorgfältige Patientenselektion für eine chirurgische Therapie eine wesentliche Rolle. Dabei könnten klinische und paraklinische Prognosefaktoren wie auch diagnostische/therapeutische Algorithmen helfen, Patienten zu identifizieren, welche von einer chirurgischen Therapie in hohem Maße profitieren

Exploring Musical Expression on the Web: Deforming, Exaggerating, and Blending Decomposed Recordings

We introduce a prototype of an educational web application for comparative performance analysis based on source separation and object-based audio techniques. The underlying system decomposes recordings of classical music performances into note events using score-informed source separation and represents the decomposed material using semantic web technologies. In a visual and interactive way, users can explore individual performances by highlighting specific musical aspects directly within the audio and by altering the temporal characteristics to obtain versions in which the micro-timing is exaggerated or suppressed. Multiple performances of the same work can be compared by juxtaposing and blending between the corresponding recordings. Finally, by adjusting the timing of events, users can generate intermediates of multiple performances to investigate their commonalities and differences

The Semantic Music Player: A Smart Mobile Player Based on Ontological Structures and Analytical Feature Metadata

Presented at the 2nd Web Audio Conference (WAC), April 4-6, 2016, Atlanta, Georgia.The Semantic Music Player is a cross-platform web and mobile app built with Ionic and the Web Audio API that explores new ways of playing back music on mobile devices, particularly indeterministic, context-dependent, and interactive ways. It is based on Dynamic Music Objects, a format that represents musical content and structure in an abstract way and makes it modifiable within definable constraints. For each Dynamic Music Object, the Semantic Music Player generates a custom graphical interface and enables appropriate user interface controls and mobile sensors based on its requirements. When the object is played back, the player takes spontaneous decisions based on the given structural information and the analytical data and reacts to sensor and user interface inputs. In this paper, we introduce the player and its underlying concepts and give some examples of the potentially infinite amount of use cases and musical results

Industrial Production Process Improvement by a Process Engine Visual Analytics Dashboard

Digitalization reshapes production in a sense that production processes are required to be more flexible and more interconnected to produce products in smaller lot sizes. This makes the process improvement much more challenging, as traditional approaches, which are based on the learning curve, are difficult to apply. Data-driven technologies promise help in learning faster by making use of the massive data volumes collected in production environments. Visual analytics approaches are particularly promising in this regard as they aim to enable engineers with their rich domain knowledge to identify opportunities for process improvements. Based on the assumption that process improvement should be connected with the process engine managing the process execution, we propose a visual analytics dashboard which integrates process models. Based on a case study in the smart factory of Vienna, we conducted two pair analytics sessions. The first results seem promising, whereas domain experts articulate their wish for improvements and future work

Exploring Musical Expression on the Web: Deforming, Exaggerating, and Blending Decomposed Recordings

We introduce a prototype of an educational web application for comparative performance analysis based on source separation and object-based audio techniques. The underlying system decomposes recordings of classical music performances into note events using score-informed source separation and represents the decomposed material using semantic web technologies. In a visual and interactive way, users can explore individual performances by highlighting specific musical aspects directly within the audio and by altering the temporal characteristics to obtain versions in which the micro-timing is exaggerated or suppressed. Multiple performances of the same work can be compared by juxtaposing and blending between the corresponding recordings. Finally, by adjusting the timing of events, users can generate intermediates of multiple performances to investigate their commonalities and di↵erences

A User-Adaptive Automated DJ Web App with Object-Based Audio and Crowd-Sourced Decision Trees

We describe the concepts behind a web-based minimal-UI DJ system that adapts to the user’s preference via sim- ple interactive decisions and feedback on taste. Starting from a preset decision tree modeled on common DJ prac- tice, the system can gradually learn a more customised and user-specific tree. At the core of the system are structural representations of the musical content based on semantic au- dio technologies and inferred from features extracted from the audio directly in the browser. These representations are gradually combined into a representation of the mix which could then be saved and shared with other users. We show how different types of transitions can be modeled using sim- ple musical constraints. Potential applications of the system include crowd-sourced data collection, both on temporally aligned playlisting and musical preference

Towards a Framework for the Discovery of Collections of Live Music Recordings and Artefacts on the Semantic Web

This paper introduces a platform for the representation and discovery of live music recordings and associated artefacts based on a dedicated data model. We demonstrate our technology by implementing a Web-based discovery tool for the Grateful Dead collection of the Internet Archive, a large collection of concert recordings annotated with editorial metadata. We represent this information using a Linked Data model complemented with data aggregated from several additional Web resources discussing and describing these events. These data include descriptions and images of physical artefacts such as tickets, posters and fan photos, as well as other information, e.g. about location and weather. The system uses signal processing techniques for the analysis and alignment of the digital recordings. During the discovery, users can juxtapose and compare different recordings of a given concert, or different performances of a given song by interactively blending between them

Flexible Office: Assignment of Office Space to Enhance Knowledge Work Productivity

Abstract: Even though knowledge management has been around for more than a decade, so far concrete instruments that can be systematically deployed are still rare. This paper presents an optimization solution targeted at flexible management of office space considering knowledge management criteria in order to enhance knowledge work productivity. The paper presents the Flexible Office conceptual model and optimization solution and discusses the theoretical foundation, assumptions and reasoning. A corresponding prototype was field-tested, successfully introduced, evaluated with the help of a series of interviews with users and improved according to their requirements. The paper also reflects on the organisational impact and lessons learned from field test and practical experience

The value of hepatic resection in metastasic renal cancer in the era of Tyrosinkinase Inhibitor Therapy

Background: The value of liver-directed therapy (LDT) in patients with metastasic renal cell carcinoma (MRCC) is still an active field of research, particularly in the era of tyrosinkinase inhibitor (TKI) therapy. Methods: The records of 35 patients with MRCC undergoing LDT of metastasic liver lesions between 1992 and 2015 were retrospectively analyzed. Immediate postoperative TKI was given in a subgroup of patients after LDT for metastasic lesions. Uni- and multivariate models were applied to assess overall survival (OS), progression-free survival (PFS) and disease-free survival (DFS). Results: Following primary tumor (renal cell cancer) resection and LDT, respectively, median OS was better for a total of 16 patients (41 %) receiving immediate postoperative TKI with 151 and 98 months, when compared to patients without TKI therapy with 61 (p = 0.003) and 40 months (p = 0.032). Immediate postoperative TKI was associated with better median PFS (47 months versus 19 months; p = 0.023), whereas in DFS only a trend was observed (51 months versus 19 months; p = 0.110). Conclusions: LDT should be considered as a suitable additive tool in the era of TKI therapy of MRCC to the liver. In this context, postoperative TKI therapy seems to be associated with better OS and PFS, but not DFS