CollaborationBus Aqua: An Editor for Storytelling in Mixed Reality Settings

Capturing the interaction of users in a room based on real-world and electronic sensors provides valuable input for their interactive stories. However, in such complex scenarios there is a gap between the huge amount of rather fine-grained data that is captured and the story summarising and representing the most significant aspects of the interaction. In this paper we present the CollaborationBus Aqua editor that provides an easy to use graphical editor for capturing, authoring, and sharing stories based on mixed-reality scenarios

The PPPSpace: Innovative Concepts for Permanent Capturing, Persistent Storing, and Parallel Processing and Distributing Events

A b s t r a c t —Media spaces provide users w i t h flexible support for easy interaction w i t h technology and with each other, both at the s a m e place and over distance. From a t e c h n o l o g i c a

Single-cell genomics identifies cell type-specific molecular changes in autism.

Despite the clinical and genetic heterogeneity of autism, bulk gene expression studies show that changes in the neocortex of autism patients converge on common genes and pathways. However, direct assessment of specific cell types in the brain affected by autism has not been feasible until recently. We used single-nucleus RNA sequencing of cortical tissue from patients with autism to identify autism-associated transcriptomic changes in specific cell types. We found that synaptic signaling of upper-layer excitatory neurons and the molecular state of microglia are preferentially affected in autism. Moreover, our results show that dysregulation of specific groups of genes in cortico-cortical projection neurons correlates with clinical severity of autism. These findings suggest that molecular changes in upper-layer cortical circuits are linked to behavioral manifestations of autism

Neuronal vulnerability and multilineage diversity in multiple sclerosis.

Multiple sclerosis (MS) is a neuroinflammatory disease with a relapsing-remitting disease course at early stages, distinct lesion characteristics in cortical grey versus subcortical white matter and neurodegeneration at chronic stages. Here we used single-nucleus RNA sequencing to assess changes in expression in multiple cell lineages in MS lesions and validated the results using multiplex in situ hybridization. We found selective vulnerability and loss of excitatory CUX2-expressing projection neurons in upper-cortical layers underlying meningeal inflammation; such MS neuron populations exhibited upregulation of stress pathway genes and long non-coding RNAs. Signatures of stressed oligodendrocytes, reactive astrocytes and activated microglia mapped most strongly to the rim of MS plaques. Notably, single-nucleus RNA sequencing identified phagocytosing microglia and/or macrophages by their ingestion and perinuclear import of myelin transcripts, confirmed by functional mouse and human culture assays. Our findings indicate lineage- and region-specific transcriptomic changes associated with selective cortical neuron damage and glial activation contributing to progression of MS lesions.Includes NIHR, ERC and Wellcome Trust

Detecting local events using multiple social networking services and geographical clustering

Tag für Tag werden wir alle Zeugen unzähliger Ereignisse, die unseren Alltag prägen. Durch die steigende Beliebtheit von digitalen, sozialen Netzwerken wurde es dabei so einfach wie nie zuvor, ebenjene Erlebnisse öffentlich mit der Welt zu teilen. In dieser Diplomarbeit wird untersucht, ob und wie derartige soziale Netzwerke als eine Art “verteilte Nachrichtenagentur” verstanden werden können. Dafür werden unterschiedliche soziale Netzwerke kombiniert und analysiert, wodurch sowohl von ihrer Vielfalt, als auch von ihren jeweiligen Eigenheiten profitiert werden kann. Um die geographische Genauigkeit der erkannten Ereignisse zu gewährleisten, muss der lokale Kontext mitunter aus dem Inhalt der Nachricht selbst extrahiert werden. Im Zuge dieser Arbeit wurde ein funktionsfähiger Prototyp entwickelt, der die theoretischen Überlegungen auch praktisch implementiert und validiert. Durch die Nutzung von geographischem Clustering in Kombination mit unterschiedlichen Ansätzen aus dem Bereich des maschinellen Lernens gelingt es dadurch, auch lokal stark begrenzte Ereignisse mitunter kurz nach deren Erwähnung in sozialen Netzwerken zu erkennen.Day-to-day we are becoming witnesses of numerous events. Due to online social networking services, it has never been easier to spread the news about those events we have just perceived. In this work, we will show how to use social media services as a crowd-sourced news agency. This is achieved by crawling multiple online social networking services, thereby benefiting from their varieties as well as differences. To allow for detecting local events affecting rather small areas (i.e. street level, points of interests etc.), precise location information must be extracted from the message content. We therefore have developed a working prototype implementation with restrictions to the city of Vienna. By using geographical clustering in combination with machine learning approaches, even local events can be detected shortly after their announcement on one (or multiple) social media services.11

Sens-ation: Eine Plattform zur Entwicklung ubiquitaerer Umgebungen

Beckmann C, Schirmer M, Paul-Stueve T, Gross T. Sens-ation: Eine Plattform zur Entwicklung ubiquitaerer Umgebungen. Presented at the Mensch & Computer - 7. Fachuebergreifende Konferenz fuer interaktive und kooperative Medien - M&C 2007, Weimar, Germany.In diesem Beitrag stellen wir die sensorbasierte Plattform Sens-ation vor, welche sowohl eine Grundlage zur prototypischen Umsetzung konzeptioneller Modelle von kooperativen ubiquitären Umgebungen darstellt, als auch die Evaluation der gedachten Konzepte hinsichtlich deren Machbarkeit, Systemverhalten und Skalierung erlaubt. Universelle Schnittstellen und ein komplexes Anfrage- und Benachrichtigungsschema sind zusätzlich zu einem detaillierten Ereignismodell Kernbestandteil der Plattform

RTLola Cleared for Take-Off: Monitoring Autonomous Aircraft

The autonomous control of unmanned aircraft is a highly safety-critical domain with great economic potential in a wide range of application areas, including logistics, agriculture, civil engineering, and disaster recovery. We report on the development of a dynamic monitoring framework for the DLR ARTIS (Autonomous Rotorcraft Testbed for Intelligent Systems) family of unmanned aircraft based on the formal specification language RTLola. RTLola is a stream-based specification language for real-time properties. An RTLola specification of hazardous situations and system failures is statically analyzed in terms of consistency and resource usage and then automatically translated into an FPGA-based monitor. Our approach leads to highly efficient, parallelized monitors with formal guarantees on the noninterference of the monitor with the normal operation of the autonomous system