1. Mapping dreams in a computational space : a phrase-level model for analyzing Fight/Flight and other typical situations in dream reportsMaja Gutman, Pavan Holur, Kelly Bulkeley, 2022, izvirni znanstveni članek Povzetek: This article demonstrates that an automated system of linguistic analysis can be developed – the Oneirograph – to analyze large collections of dreams and computationally map their contents in terms of typical situations involving an interplay of characters, activities, and settings. Focusing the analysis first on the twin situations of fighting and fleeing, the results provide densely detailed empirical evidence of the underlying semantic structures of typical dreams. The results also indicate that the Oneirograph analytic system can be applied to other typical dream situations as well (e.g., flying, falling), each of which can be computationally mapped in terms of a distinctive constellation of characters, activities, and settings.
Ključne besede: dreams, patterns, natural language processing, Oneirograph, network analysis, semantic structure
Objavljeno v DiRROS: 22.03.2023; Ogledov: 351; Prenosov: 203
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2. Behavioural patterns in allergic rhinitis medication in Europe : a study using 28 MASK-air® real-world dataBernardo Sousa-Pinto, Ana Sá-Sousa, Rafael José Vieira, Rita Amaral, Ludger Klimek, Wienczyslawa Czarlewski, Josep M. Antò i Boquè, Oliver Pfaar, Anna Bedbrook, Mihaela Zidarn, Joao A. Fonseca, Jean Bousquet, 2022, izvirni znanstveni članek Povzetek: Background. Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data. Methods. We analysed 2015-2020 MASK-air® European data. We compared days under no medication, monotherapy, and co-medication using the visual analogue scale (VAS) levels for overall allergic symptoms (“VAS Global Symptoms”) and impact of AR on work. We assessed the monthly use of different medication schemes, performing separate analyses by region (defined geographically or by Google Trends patterns). We estimated the average number of different drugs reported per patient within one year. Results. We analysed 222,024 days (13,122 users), including 63,887 days (28.8%) under monotherapy, and 38,315 (17.3%) under co-medication. The median “VAS Global Symptoms” was 7 for no medication days, 14 for monotherapy and 21 for co-medication (p<0.001). Medication use peaked during the spring, with similar patterns across different European regions (defined geographically or by Google Trends). Oral H1-antihistamines were the most common medication in single and co-medication. Each patient reported using an annual average of 2.7 drugs, with 80% reporting two or more. Conclusions. AR medication patterns are similar across European regions. One third of treatment days involved co-medication. These findings suggest that patients treat themselves according to their symptoms (irrespective of how they understand AR), and that co-medication use is driven by symptom severity.
Ključne besede: asthma -- drug therapy, rhinitis -- drug therapy, allergic rhinitis -- drug therapy, visual analogue scale, histamine antagonists, antihistamines, behavioural patterns, medication patterns, real-world data
Objavljeno v DiRROS: 14.03.2022; Ogledov: 616; Prenosov: 229
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