TY - GEN A1 - Hussein, Ahmed A1 - Garcia, Fernando A1 - Armingol, Jose Maria A1 - Olaverri-Monreal, Cristina T1 - P2V and V2P Communication for Pedestrian Warning on the basis of Autonomous Vehicles KW - Autonomous Driving KW - Pedestrian Y1 - 2018 ER - TY - CHAP A1 - Wahl, Harald A1 - Holweg, Gerd A1 - Mense, Alexander A1 - Kaufmann, Christian T1 - Meeting the Problem of Heterogeneous IT Knowledge of Students in the Interdisciplinary Course Program Intelligent Transport Systems T2 - Proceedings of the ICETI 2011, International Conference on Education, Training and Informatics,Orlando, Florida, USA KW - Teaching KW - Intelligent Transport Systems Y1 - 2019 SN - 978-1-936338-18-4 SP - 262 EP - 266 ER - TY - GEN A1 - Allamehzadeh, Arman A1 - Olaverri-Monreal, Cristina T1 - Automatic and Manual Driving Paradigms: Cost-Efficient Mobile Application for the Assessment of Driver Inattentiveness and Detection of Road Conditions KW - Automatic Driving KW - Manual Driving KW - Autonomous Driving KW - Road Conditions Y1 - 2018 ER - TY - GEN A1 - Olaverri-Monreal, Cristina T1 - Human Perception of Driving Environment and the Role of Intelligent Traffic Solutions KW - Autonomous Driving KW - Human Perception Y1 - 2018 ER - TY - GEN A1 - Olaverri-Monreal, Cristina T1 - Future challenges and opportunities: Urbanization, mobility and sustainability KW - Urbanization KW - Mobility KW - Sustainability Y1 - 2018 ER - TY - JOUR A1 - Marc, Zobel A1 - Knapp, Bernhard A1 - Nateqi, Jama A1 - Martin, Alistair T1 - Correlating global trends in COVID-19 cases with online symptom checker self-assessments JF - PLOS ONE N2 - Background Online symptom checkers are digital health solutions that provide a differential diagnosis based on a user’s symptoms. During the coronavirus disease 2019 (COVID-19) pandemic, symptom checkers have become increasingly important due to physical distance constraints and reduced access to in-person medical consultations. Furthermore, various symptom checkers specialised in the assessment of COVID-19 infection have been produced. Objectives Assess the correlation between COVID-19 risk assessments from an online symptom checker and current trends in COVID-19 infections. Analyse whether those correlations are reflective of various country-wise quality of life measures. Lastly, determine whether the trends found in symptom checker assessments predict or lag relative to those of the COVID-19 infections. Materials and methods In this study, we compile the outcomes of COVID-19 risk assessments provided by the symptom checker Symptoma (www.symptoma.com) in 18 countries with suitably large user bases. We analyse this dataset’s spatial and temporal features compared to the number of newly confirmed COVID-19 cases published by the respective countries. Results We find an average correlation of 0.342 between the number of Symptoma users assessed to have a high risk of a COVID-19 infection and the official COVID-19 infection numbers. Further, we show a significant relationship between that correlation and the self-reported health of a country. Lastly, we find that the symptom checker is, on average, ahead (median +3 days) of the official infection numbers for most countries. Conclusion We show that online symptom checkers can capture the national-level trends in coronavirus infections. As such, they provide a valuable and unique information source in policymaking against pandemics, unrestricted by conventional resources. KW - Online symptom checkers KW - coronavirus disease Y1 - U6 - http://dx.doi.org/https://doi.org/10.1371/journal.pone.0281709 VL - 18 IS - 2 ER - TY - JOUR A1 - Kierspel, Thomas A1 - Kadek, Alan A1 - Barran, Perdita A1 - Bellina, Bruno A1 - Bijedic, Adi A1 - Brodmerkel, Maxim N. A1 - Commandeur, Jan A1 - Caleman, Carl A1 - Damjanovic, Tomislav A1 - Dawod, Ibrahim A1 - De Santis, Emiliano A1 - Lekkas, Alexandros A1 - Lorenzen, Kristina A1 - López Morillo, Luis A1 - Mandl, Thomas A1 - Marklund, Erik G. A1 - Papanastasiou, Dimitris A1 - Ramakers, Lennart A. I. A1 - Schweikhard, Lutz A1 - Simke, Florian A1 - Sinelnikova, Anna A1 - Smyrnakis, Athanasios A1 - Timneanu, Nicusor A1 - Uetrecht, Charlotte T1 - Coherent diffractive imaging of proteins and viral capsids: simulating MS SPIDOC JF - Analytical and Bioanalytical Chemistry N2 - MS SPIDOC is a novel sample delivery system designed for single (isolated) particle imaging at X-ray Free-Electron Lasers that is adaptable towards most large-scale facility beamlines. Biological samples can range from small proteins to MDa particles. Following nano-electrospray ionization, ionic samples can be m/z-filtered and structurally separated before being oriented at the interaction zone. Here, we present the simulation package developed alongside this prototype. The first part describes how the front-to-end ion trajectory simulations have been conducted. Highlighted is a quadrant lens; a simple but efficient device that steers the ion beam within the vicinity of the strong DC orientation field in the interaction zone to ensure spatial overlap with the X-rays. The second part focuses on protein orientation and discusses its potential with respect to diffractive imaging methods. Last, coherent diffractive imaging of prototypical T = 1 and T = 3 norovirus capsids is shown. We use realistic experimental parameters from the SPB/SFX instrument at the European XFEL to demonstrate that low- resolution diffractive imaging data (q < 0.3 nm −1 ) can be collected with only a few X-ray pulses. Such low-resolution data are sufficient to distinguish between both symmetries of the capsids, allowing to probe low abundant species in a beam if MS SPIDOC is used as sample delivery. KW - SPI KW - X-ray KW - Native MS KW - Protein complex structure KW - Simulation Y1 - U6 - http://dx.doi.org/https://doi.org/10.1007/s00216-023-04658-y VL - 2023 IS - 415 SP - 4209 EP - 4220 ER - TY - RPRT A1 - Wildner, Karl A1 - Rohatsch, Lukas T1 - Mobility as a Service für die Mobilitätswende in Österreich KW - Mobility as a Service KW - intermodale Reisen KW - Prototyp Y1 - 2024 ER - TY - GEN A1 - Knapp, Bernhard T1 - ChatGPT 4.0 – friend or foe? KW - ChatGPT Y1 - ER - TY - GEN A1 - Eibl, Gregor A1 - Rohatsch, Lukas T1 - Open Data Workshop KW - Open Data Y1 - 2024 ER -