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 - JOUR A1 - Munsch, Nicolas A1 - Gruarin, Stefanie A1 - Nateqi, Jama A1 - Lutz, Thomas A1 - Binder, Michael A1 - Aberle, Judith H. A1 - Martin, Alistair A1 - Knapp, Bernhard T1 - Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna JF - Wiener Klinische Wochenschrift / The Central European Journal of Medicine N2 - Background: Most clinical studies report the symptoms experienced by those infected with coronavirus disease 2019 (COVID-19) via patients already hospitalized. Here we analyzed the symptoms experienced outside of a hospital setting. Methods: The Vienna Social Fund (FSW; Vienna, Austria), the Public Health Services of the City of Vienna (MA15) and the private company Symptoma collaborated to implement Vienna's official online COVID-19 symptom checker. Users answered 12 yes/no questions about symptoms to assess their risk for COVID-19. They could also specify their age and sex, and whether they had contact with someone who tested positive for COVID-19. Depending on the assessed risk of COVID-19 positivity, a SARS-CoV‑2 nucleic acid amplification test (NAAT) was performed. In this publication, we analyzed which factors (symptoms, sex or age) are associated with COVID-19 positivity. We also trained a classifier to correctly predict COVID-19 positivity from the collected data. Results: Between 2 November 2020 and 18 November 2021, 9133 people experiencing COVID-19-like symptoms were assessed as high risk by the chatbot and were subsequently tested by a NAAT. Symptoms significantly associated with a positive COVID-19 test were malaise, fatigue, headache, cough, fever, dysgeusia and hyposmia. Our classifier could successfully predict COVID-19 positivity with an area under the curve (AUC) of 0.74. Conclusion: This study provides reliable COVID-19 symptom statistics based on the general population verified by NAATs. Keywords: Chatbot; Machine learning; Self-reported; Symptom assessment; Symptom checker. KW - COVID-19 KW - Chatbot KW - Machine learning KW - Self-reported KW - Symptom assessment Y1 - VL - 2022 IS - 134 (9-10) SP - 344 EP - 350 PB - Springer ER - TY - JOUR A1 - Hagauer, Josef A1 - Matlschweiger, Ulrich A1 - Tippelreither, Christian A1 - Lutz, Markus A1 - Hribernig, Thomas A1 - Lackner, Maximilian T1 - Controlling Metal Fires through Cellulose Flake Blanketing Followed by Water Spray Cooling JF - Fire N2 - The traditional methods of fighting metal fires are not always safe for firefighters. The sand and salts that are thrown onto the fire to suffocate the flames can lead to splashes of molten metal, putting the firefighters and the surroundings at risk. A novel process is described where magnesium fires are brought under control using a simple two-step process. First, coated cellulose flakes, which contain approx. 30% inorganic salts, are blown onto the fire from a distance of several meters. Due to its low bulk density, the material settles smoothly on the fire and immediately covers the flames for several seconds. Before the hot metal can break through this cover, a fine water spray is applied to the fire. The water spray wets the top layer of the cellulose flakes, which will begin to char from the bottom. The water evaporates from within the cellulose flake layer and withdraws heat. It was observed that no hydrogen is formed and that this technique can safely control fires. It is judged that 90 kg of flakes could safely bring a pile of 75 kg of burning Mg flakes under control. By using a pneumatic conveying unit for the flakes, firefighters can effectively and efficiently cover the flames from a safe distance. This novel method could be recommended to firefighters in industrial magnesium processing plants, as well as local firefighters in the vicinity of such plants. KW - magnesium fire KW - metal fire KW - suffocation Y1 - U6 - http://dx.doi.org/10.3390/fire5030083 VL - 5 IS - 3 ER - TY - JOUR A1 - Lackner, Maximilian A1 - Lutz, Markus A1 - Hribernig, Thomas T1 - Neuartiges Verfahren zum Löschen von Metallbränden mit Zelluloseflakes JF - Feuerwehr Fachjournal KW - Extinguisher KW - Cellulose Y1 - IS - September 2021 SP - 54 ER -