Autor(en): | Scharbert, Julian Reiter, Thomas Sakel, Sophia ter Horst, Julian Geukes, Katharina Gosling, Samuel D. Harari, Gabriella M. Kroencke, Lara Matz, Sandra Schoedel, Ramona Shani, Maor Stachl, Clemens Talaifar, Sanaz Aguilar, Natalia Maria Alejandra Amante, Dayana de Aquino, Sibele Dias Bastias, Franco Biesanz, Jeremy C. Bornamanesh, Alireza Bracegirdle, Chloe Campos, Luís Antônio Monteiro Ceballos, Maria Camila Chauvin, Bruno Choychod, Sopa Coetzee, Nicoleen Costin, Vlad da Silva Machado, Gustavo Dorfman, Anna dos Santos, Monika El‐Haddad, Rita W. Fajkowska, Małgorzata Gnisci, Augusto Hadjisolomou, Stavros Hale, William W. Hofmann, Wilhelm Khechuashvili, Lili Kheirabadi, Gholam Reza Kirchner-Häusler, Alexander Köse, Aslı Göncü Kotzur, Patrick F. Kritzler, Sarah Lu, Jackson G. Martskvishvili, Khatuna Mottola, Francesca Obschonka, Martin Paolini, Stefania Perugini, Marco Odile, Rohmer Saeedian, Yasser Sarayuthpitak, Jintana Sczesny, Sabine Sergi, Ida Skimina, Ewa Talhelm, Thomas Tangdhanakanond, Kamonwan Tokat, Tuluce Torres, Ana Raquel Rosas Torres, Cláudio Vaz Assche, Jasper Van Wolvaardt, George G. Yalçın, Aslı Bühner, Markus van Zalk, Maarten Back, Mitja D. |
Stichwörter: | Computer vision; Sample (material); Sampling (signal processing); Experience sampling method; Disease; Infectious disease (medical specialty); Psychology; Coping (psychology); Chromatography; Computer science; Medicine; Pathology; Social psychology; Chemistry; Applied psychology; Sociology; Social science; Coco; Data collection; Filter (signal processing); Clinical psychology; Artificial intelligence; Coronavirus disease 2019 (COVID-19) |
Erscheinungsdatum: | 2023 |
DOI: | https://doi.org/10.1111/spc3.12813 |