A5066303248- Lipid Membrane Structure and Behavior
- Cellular transport and secretion
- Fibroblast Growth Factor Research
- Fault Detection and Control Systems
- Advanced Electron Microscopy Techniques and Applications
- Erythrocyte Function and Pathophysiology
- SARS-CoV-2 detection and testing
- Bacteriophages and microbial interactions
- Biosensors and Analytical Detection
- Anomaly Detection Techniques and Applications
- Advanced MEMS and NEMS Technologies
- Industrial Vision Systems and Defect Detection
- RNA and protein synthesis mechanisms
- Manufacturing Process and Optimization
- Machine Fault Diagnosis Techniques
- Flexible and Reconfigurable Manufacturing Systems
- Hydraulic and Pneumatic Systems
- SARS-CoV-2 and COVID-19 Research
- Respiratory viral infections research
- Semantic Web and Ontologies
- Phagocytosis and Immune Regulation
- interferon and immune responses
- Advanced Chemical Sensor Technologies
- Endoplasmic Reticulum Stress and Disease
- Design Education and Practice
Heidelberg University
2015-2025
University Hospital Heidelberg
2020-2024
Saarland University
2015-2024
Johns Hopkins University
2024
Helsinki Institute of Physics
2023
University of Helsinki
2023
Czech Academy of Sciences, J. Heyrovský Institute of Physical Chemistry
2023
Freie Universität Berlin
2023
Material (Belgium)
2021
University of Stuttgart
2021
Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID19 pandemic, is a highly pathogenic β-coronavirus. As other coronaviruses, SARS-CoV-2 enveloped, replicates in cytoplasm and assembles at intracellular membranes. Here, we structurally characterize viral replication compartment report critical insights into budding mechanism virus, structure extracellular virions close to their native state by situ cryo-electron tomography subtomogram...
A colorimetric isothermal RNA amplification method was shown to detect SARS-CoV-2 in clinical samples with excellent sensitivity and specificity.
The Eukaryotic Linear Motif (ELM) resource (http://elm.eu.org) is a manually curated database of short linear motifs (SLiMs). In this update, we present the latest additions to resource, along with more improvements web interface. ELM 2016 contains than 240 different motif classes over 2700 experimentally validated instances, from 2400 scientific publications. addition, data have been made available as individually searchable pages and are downloadable in various formats.
Rapid large-scale testing is essential for controlling the ongoing pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The standard diagnostic pipeline SARS-CoV-2 presence in patients with an infection predominantly based on pharyngeal swabs, from which viral RNA extracted using commercial kits, followed by reverse transcription and quantitative PCR detection. As a result large demand testing, extraction kits may be limited and, alternatively, non-commercial protocols...
Abstract Lamellar bodies (LBs) are surfactant-rich organelles in alveolar cells. LBs disassemble into a lipid-protein network that reduces surface tension and facilitates gas exchange the cavity. Current knowledge of LB architecture is predominantly based on electron microscopy studies using disruptive sample preparation methods. We established validated post-correlation on-lamella cryo-correlative light approach for cryo-FIB milled cells to structurally characterize validate identity their...
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID19 pandemic, is a highly pathogenic β-coronavirus. As other coronaviruses, SARS-CoV-2 enveloped, replicates in cytoplasm and assembles at intracellular membranes. Here, we structurally characterize viral replication compartment report critical insights into budding mechanism virus, structure extracellular virions close to their native state by situ cryo-electron tomography subtomogram averaging. We...
Abstract The COVID-19 pandemic caused by the novel SARS-CoV-2 virus poses a significant public-health problem. In order to control pandemic, rapid tests for detecting existing infections and assessing spread are critical. Approaches detect viral RNA based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) hold outstanding promise towards greatly simplified broadly applicable testing methods. RT-LAMP assays appear more robust than qPCR-based methods only require...
Abstract In this work, an automated statistical analysis of vibration characteristics for the condition monitoring hydraulic systems is proposed. Features from FFT data a micromechanical accelerometer measured at gear pump are extracted, selected by their correlation coefficient to target fault value, and subsequently reduced discriminant functions which allow classification component conditions using multivariate statistics. The approach was successfully evaluated with experimental test...
Abstract Rapid large-scale testing is essential for controlling the ongoing pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The standard diagnostic pipeline SARS-CoV-2 presence in patients with an infection predominantly based on pharyngeal swabs, from which viral RNA extracted using commercial kits followed by reverse transcription and quantitative PCR detection. As a result large demand testing, extraction may be limited alternative, non-commercial protocols are...
Fibroblast growth factor 2 (FGF2) exits cells by direct translocation across the plasma membrane, a type I pathway of unconventional protein secretion. This process is initiated phosphatidylinositol-4,5-bisphosphate (PI(4,5)P )-dependent formation highly dynamic FGF2 oligomers at inner membrane leaflet, inducing lipidic pores. Cell surface heparan sulfate chains linked to glypican-1 (GPC1) capture outer completing into extracellular space. While basic steps this are well understood,...
Abstract Machine learning in industrial condition monitoring is currently a rapidly developing field of research, to improve the efficiency and reliability processes. Many used algorithms are supervised methods, which can learn recognize hidden patterns data. However, training data required these patterns, only be generated limited extent an environment due high costs involved. Furthermore, it impossible represent all possible events In contrast, unsupervised or semi-supervised methods...
Abstract This paper focuses on the application of novelty detection in combination with supervised fault classification for industrial condition monitoring. Its goal is to provide a guideline engineers how apply outlier detection, monitoring and unknown faults without need data scientist. All guidelines are demonstrated by means publicly available dataset. In each case results achieved different common algorithms compared, advantages disadvantages respective shown. To increase applicability...
In this paper, the deterioration of statistical fault classification a hydraulic system and an electromechanical cylinder EMC due to reduced sampling rates sensor nets is shown. As result, two types faults can be distinguished: On one hand, degradation processes which primarily show static symptoms over whole working cycle and, thus, are less susceptible time resolution; on other detection with localized in time, e.g., during transients, significantly degraded. Furthermore, example shows...
ABSTRACT Interferon-induced transmembrane protein 3 (IFITM3) inhibits the entry of numerous viruses through undefined molecular mechanisms. IFITM3 localizes in endosomal-lysosomal system and specifically impacts virus fusion with target cell membranes. We found that induces local lipid sorting, resulting an increased concentration lipids disfavoring viral at hemifusion site. This increases energy barrier for pore formation dwell time, promoting degradation lysosomes. In situ cryo-electron...
Lamellar bodies (LBs) are surfactant-rich organelles in alveolar cells. LBs disassemble into a lipid-protein network that reduces surface tension and facilitates gas exchange the cavity. Current knowledge of LB architecture is predominantly based on electron microscopy studies using disruptive sample preparation methods. We established validated post-correlation on-lamella cryo-correlative light approach for cryo-FIB milled cells to structurally characterize validate identity their...
In this paper, the author illustrates some of key challenges for knowledge visualization in corporate communication. Based on a case study from Edward Tufte and an evolutionary account Mihai Nadin, argues that interactivity is essential issue with regard to organizational communication or media design general. Finally, he presents example comes recent DaimlerChrysler research project. This project used interactive support between several different management levels professional backgrounds.
Artificial intelligence (AI) has been widely adopted in industrial applications, making machine learning (ML) on edge devices essential. However, the power consumption of often limits their computational capabilities. In this study, we aimed to address challenge by utilizing feature extraction (FE) techniques, explicitly considering domain shift scenarios where data characteristics may change real-world applications. We introduced a simple but effective FE method, time-frequency extractor...
Zusammenfassung Vermehrt werden Daten in der Produktion erfasst und mit Hilfe maschineller Lernverfahren ausgewertet. Ziel dieser Datenanalysen ist es, Informationen über die zu erhalten. Typische Anwendungsbeispiele sind Vorhersage Produktqualität sowie vorausschauende Wartung Instandhaltung. Allerdings führen aufgrund domänenspezifischen Herausforderungen häufig keinen ausreichenden Analyseergebnissen. Die Kombination von Expertenwissen stellt hierbei einen vielversprechenden Ansatz zur...
Fibroblast growth factor 2 (FGF2) exits cells by direct translocation across the plasma membrane, a type I pathway of unconventional protein secretion. This process is initiated phosphatidylinositol-4,5-bisphosphate (PI(4,5)P )-dependent formation highly dynamic FGF2 oligomers at inner membrane leaflet, inducing lipidic pores. Cell surface heparan sulfate chains linked to glypican-1 (GPC1) capture outer completing into extracellular space. While basic steps this are well understood,...