Efficient Image-Space Extraction and Representation of 3D Surface Topography

Surface topography refers to the geometric micro-structure of a surface and defines its tactile characteristics (typically in the sub-millimeter range). High-resolution 3D scanning techniques developed recently enable the 3D reconstruction of surfaces including their surface topography. In his paper, we present an efficient image-space technique for the extraction of surface topography from high-resolution 3D reconstructions. Additionally, we filter noise and enhance topographic attributes to obtain an improved representation for subsequent topography classification. Comprehensive experiments show that the our representation captures well topographic attributes and significantly improves classification performance compared to alternative 2D and 3D representations.Comment: Initial version of the paper accepted at the IEEE ICIP Conference 201

Desert ants: is active locomotion a prerequisite for path integration?

Desert ants Cataglyphis fortis have been shown to be able to employ two mechanisms of distance estimation: exploiting both optic flow and proprioceptive information. This study aims at understanding possible interactions between the two possibly redundant mechanisms of distance estimation. We ask whether in Cataglyphis the obviously minor contribution of optic flow would increase or even take over completely if the ants were deprived of reliable proprioceptive information. In various experimental paradigms ants were subjected to passive horizontal displacements during which they perceived optic flow, but were prohibited from active locomotion. The results show that in desert ants active locomotion is essential for providing the ants' odometer and hence its path integrator with the necessary informatio

Antineuronale Autoimmunenzephalitis

Vor etwa 10 Jahren wurde eine neue Kategorie von Autoimmunenzephalitiden entdeckt, die durch Autoantikörper gegen synaptische oder Oberflächenantigene verursacht werden und in der psychiatrischen Praxis von hoher Relevanz sind. Insbesondere bei subakuter Psychose, Gedächtnisstörungen und einer Kombination psychiatrischer und neurologischer Symptome sollten die Autoimmunenzephalitiden in die Differenzialdiagnose eingeschlossen werden. Mit der Testung von Liquor und/oder Serum in einem spezialisierten Labor können die bekannten Antikörper innerhalb weniger Tage detektiert werden. Eine frühe Diagnose und rasche Immuntherapie führen in den meisten Fällen zu einer Remission der Symptome.Approximately 10 years ago, a new category of autoimmune encephalitis was described that is caused by autoantibodies against synaptic or surface antigens and has a high relevance for psychiatric care. In particular, in cases of subacute psychosis, memory deficit, and combination of neurological and psychiatric symptoms, the differential diagnoses should include autoimmune encephalitis. In a specialized lab, the known antibodies can be detected in cerebrospinal fluid and/or serum within a couple of days. Early diagnosis and immunotherapy are crucial for a favorable outcome and lead in most cases to complete remission.(VLID)353202

Self-organizing distributed digital library supporting audio-video

The StreamOnTheFly network combines peer-to-peer networking and open-archive principles for community radio channels and TV stations in Europe. StreamOnTheFly demonstrates new methods of archive management and personalization technologies for both audio and video. It also provides a collaboration platform for community purposes that suits the flexible activity patterns of these kinds of broadcaster communities

PetroSurf3D - A Dataset for high-resolution 3D Surface Segmentation

The development of powerful 3D scanning hardware and reconstruction algorithms has strongly promoted the generation of 3D surface reconstructions in different domains. An area of special interest for such 3D reconstructions is the cultural heritage domain, where surface reconstructions are generated to digitally preserve historical artifacts. While reconstruction quality nowadays is sufficient in many cases, the robust analysis (e.g. segmentation, matching, and classification) of reconstructed 3D data is still an open topic. In this paper, we target the automatic and interactive segmentation of high-resolution 3D surface reconstructions from the archaeological domain. To foster research in this field, we introduce a fully annotated and publicly available large-scale 3D surface dataset including high-resolution meshes, depth maps and point clouds as a novel benchmark dataset to the community. We provide baseline results for our existing random forest-based approach and for the first time investigate segmentation with convolutional neural networks (CNNs) on the data. Results show that both approaches have complementary strengths and weaknesses and that the provided dataset represents a challenge for future research.Comment: CBMI Submission; Dataset and more information can be found at http://lrs.icg.tugraz.at/research/petroglyphsegmentation

Abcg2 an der porcinen Blut-Hirn-Schranke:(Methoden zur funktionellen Charakterisierung)

Einen wichtigen Beitrag zum Schutz des Gehirns vor Fremdstoffen vermitteln die in den Kapillarendothelzellen exprimierten multidrug resistance Transporter aus der Familie der ABC-Transporter. Diese Gruppe von Proteinen transportiert eine breite Palette xenobiotischer Substanzen. Während diese Transporter durch den Export zelltoxischer Substanzen einen wichtigen Beitrag zum Schutz des Gehirns leisten, können sie bei der pharmakologischen Behandlung von Erkrankungen des zentralen Nervensystems ein Problem darstellen, indem sie den Zugang therapeutisch eingesetzter Arzneistoffe zum Gehirn erschweren. Einer dieser Transporter ist das so genannte ABCG2. In der vorliegenden Arbeit gelang es die Regulation des Transporters an der porcinen Blut-Hirn-Schranke näher zu beschreiben und verschiedene stabil ABCG2 exprimierende Zelllinien zu generieren, die eine funktionelle Charakterisierung des Transporters ermöglichen

LNCS

We present a formal framework for repairing infinite-state, imperative, sequential programs, with (possibly recursive) procedures and multiple assertions; the framework can generate repaired programs by modifying the original erroneous program in multiple program locations, and can ensure the readability of the repaired program using user-defined expression templates; the framework also generates a set of inductive assertions that serve as a proof of correctness of the repaired program. As a step toward integrating programmer intent and intuition in automated program repair, we present a cost-aware formulation - given a cost function associated with permissible statement modifications, the goal is to ensure that the total program modification cost does not exceed a given repair budget. As part of our predicate abstractionbased solution framework, we present a sound and complete algorithm for repair of Boolean programs. We have developed a prototype tool based on SMT solving and used it successfully to repair diverse errors in benchmark C programs

Towards Digital Twin-enabled DevOps for CPS providing Architecture-Based Service Adaptation & Verification at Runtime

Industrial Product-Service Systems (IPSS) denote a service-oriented (SO) way of providing access to CPS capabilities. The design of such systems bears high risk due to uncertainty in requirements related to service function and behavior, operation environments, and evolving customer needs. Such risks and uncertainties are well known in the IT sector, where DevOps principles ensure continuous system improvement through reliable and frequent delivery processes. A modular and SO system architecture complements these processes to facilitate IT system adaptation and evolution. This work proposes a method to use and extend the Digital Twins (DTs) of IPSS assets for enabling the continuous optimization of CPS service delivery and the latter's adaptation to changing needs and environments. This reduces uncertainty during design and operations by assuring IPSS integrity and availability, especially for design and service adaptations at CPS runtime. The method builds on transferring IT DevOps principles to DT-enabled CPS IPSS. The chosen design approach integrates, reuses, and aligns the DT processing and communication resources with DevOps requirements derived from literature. We use these requirements to propose a DT-enabled self-adaptive CPS model, which guides the realization of DT-enabled DevOps in CPS IPSS. We further propose detailed design models for operation-critical DTs that integrate CPS closed-loop control and architecture-based CPS adaptation. This integrated approach enables the implementation of A/B testing as a use case and central concept to enable CPS IPSS service adaptation and reconfiguration. The self-adaptive CPS model and DT design concept have been validated in an evaluation environment for operation-critical CPS IPSS. The demonstrator achieved sub-millisecond cycle times during service A/B testing at runtime without causing CPS operation interferences and downtime.Comment: Final published version appearing in 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2022