News
Published conference contributions
1. Janez Štrancar, Špela Stres, “Regulated toxicity-testing: spinning out a company in a rapidly changing market”, In: 13. ITTC, 13th International Technology Transfer Conference, 8 October 2020, Ljubljana, Slovenia, Proceedings of the 23rd International Multiconference Information Society (IS 2020), volume E, Institut “Jožef Stefan”, 2020, 38-42.
2. Bojan Cestnik, Rebeka Kovačič Lukman, Andreja Abina, Andrej Flogie, Samo Repolusk, Maja Vičič Krabonja, Tanja Batkovič, Adem Kikaj, Ivan Boshkov, Nita Hasani, Maja Kurbus, Matevž Ogrinc, Jaka Progar, Nika Zagorc Okorn, Sabina Petek, Aleksander Zidanšek, “Development and implementation of a decision support expert system for monitoring sustainability-related competences at the secondary school”, In: 15th SDEWES Conference, Conference on Sustainable Development of Energy, Water and Environment Systems, September 1‐5, 2020, Cologne, Germany, Proceedings, SDEWES, 2020, 0681.
3. Aleksander Zidanšek, Tanja Batkovič, Uroš Puc, Andreja Abina, “Ground-penetrating radar measurements for cultural heritage”, In: 15th SDEWES Conference, Conference on Sustainable Development of Energy, Water and Environment Systems, September 1‐5, 2020, Cologne, Germany, Proceedings, SDEWES, 2020, 0684.
4. Andreja Abina, Uroš Puc, Aleksander Zidanšek, “Terahertz technology for the characterization of waste materials in construction”, In: 15th SDEWES Conference, Conference on Sustainable Development of Energy, Water and Environment Systems, September 1‐5, 2020, Cologne, Germany, Proceedings, SDEWES, 2020, 0696.
5. Tanja Batkovič, Bojan Cestnik, Aleksander Zidanšek, Andreja Abina, “Competence model for factories of the future”, In: 2nd International Conference on Technologies & Business Models for Circular Economy, Proceedings, Maribor Faculty of Chemistry and Chemical Engineering, 2020, 159-173.… Read the rest “Published conference contributions”
Secondary and primary school textbooks or other textbooks
1. Aleš Mohorič, Vito Babič, Fisica 1: libro di testo di fisica per la prima classe del ginnasio e per gli istituti professionali, Mladinska knjiga, 2020.
2. Aleš Mohorič, Vito Babič, Fizika 2: učbenik za fiziko v 2. letniku gimnazij in štiriletnih strokovnih šol, Mladinska knjiga, 2020.
3. Aleš Mohorič, Vito Babič, Fizika 3: učbenik za fiziko v 3. letniku gimnazij in štiriletnih strokovnih šol, Mladinska knjiga, 2020.
University, higher education or higher vocational education textbooks
1. Simon Čopar, Daniel Svenšek, Aleš Mohorič, Saša Prelovšek, Rešene kolokvijske naloge iz klasične fizike, Fakulteta za matematiko in fiziko, 2020.
2. Andrej Zorko, Miha Nemevšek, Nejc Košnik, Matic Lubej, Rešene naloge iz moderne fizike, Fakulteta za matematiko in fiziko, 2020.
Independent component part or a chapter in a monograph
1. Stane Pajk, “Magnezij”, In: Minerali, vitamini in druge izbrane snovi, Slovensko farmacevtsko društvo, 2020, 139-148.
2. Darja Gačnik, Andreja Jelen, Stanislav Vrtnik, Primož Koželj, Mitja Krnel, Qiang Hu, Janez Dolinšek, “Superconductivity in high-entropy and medium-entropy alloys from the Ti-Zr-Nb-Sn-Hf-Ta system”, In: Reference module in materials science and materials engineering, Elsevier, 2020.
Article in Advanced Materials
Led by dr. Janez Štrancar, PhD, the researchers of the Biophysics Laboratory of the Condensed Matter Physics Department at the “Jožef Stefan” Institute have made crucial contributions to a large study of the mechanisms for nanomaterial toxicity and inflammation predictions without the use of test animals, published in the Advanced Materials under the title Prediction of Chronic Inflammation for Inhaled Particles: the Impact of Material Cycling and Quarantining in the Lung Epithelium. As part of the SmartNanoTox Horizon 2020 Projects, the Biophysics Laboratory coordinated the work of 34 authors from 9 countries. The authors of the article are the first to identify the key molecular events involved and connect them into a complicated cyclic mechanism that triggers different inflammatory responses. This knowledge allowed them to develop a model for predicting chronic inflammations using only selected cell tests. These findings are already being used to develop autonomous detection systems to predict the safety of materials, chemicals, medications or vaccines.