Browsing by Subject "Identification"

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  • Corner, Solveig; Forsius, Maria; Holm, Gunilla; Zilliacus, Harriet; Öhrn, Elisabet (Springer, 2019)
    Advances in Intelligent Systems and Computing
    This study explores how participatory photography can be used in researching upper secondary students’ identifications with what it means to live in one of four Nordic countries. The study draws on students' constructions and interpretations of photographs. For this article the data analyzed consisted of 571 photographs taken during spring 2018 by a total of 104 students in the metropolitan areas in Helsinki, Stockholm, Oslo and Copenhagen. The analysis of the photographs and their captions show that students associated themselves mostly in a positive way with the Nordic region, though also some critical attitudes were identified. Visual ethnography in education as a method enhanced the upper secondary students’ way of giving meaning to what living in the Nordic countries means to them. Moreover, the method enables the students to become co-researchers together with the research team in both an aesthetic and narrative way. The study offers insights into how participatory photography can be as a useful and activating method in both local and cross-national research.
  • Puonti, Paivi (2019)
    We apply a novel Bayesian structural vector autoregressive method to analyze the macroeconomic effects of unconventional monetary policy in Japan, the US and the euro area. The method exploits statistical properties of the data to uniquely identify the model without restrictions, and thus enables formal assessment of the plausibility of given sign restrictions. Unlike previous research, the data-based analysis reveals differences in the output and price effects of the Bank of Japan's, Federal Reserve's and European Central Bank's balance sheet operations.
  • Nurmela, Kirsti; Mattila, Aino; Heikkinen, Virpi; Uitti, Jukka; Ylinen, Aarne; Virtanen, Pekka (2018)
    Depression is a common mental health disorder among the unemployed, but research on identifying their depression in health care is scarce. The present study aimed to explore the identification of major depressive disorder (MDD) in health care on long-term unemployed and find out if the duration of unemployment correlates with the risk for unidentified MDD. The study sample consisted the patient files of long-term unemployed people (duration of unemployment 1-35 years, median 11 years), who in a screening project diagnosed with MDD (n = 243). The MDD diagnosis was found in the health care records of 101. Binomial logistic regression models were used to explore the effect of the duration of unemployment, as a discrete variable, to the identification of MDD in health care. MDD was appropriately identified in health care for 42% (n = 101) of the participants with MDD. The odds ratio for unidentified MDD in health care was 1.060 (95% confidence interval 1.011; 1.111, p = 0.016) per unemployment year. When unemployment had continued, for example, for five years the odds ratio for having unidentified MDD was 1.336. The association remained significant throughout adjustments for the set of background factors (gender, age, occupational status, marital status, homelessness, criminal record, suicide attempts, number of health care visits). This study among depressed long-term unemployed people indicates that the longer the unemployment period has lasted, the more commonly these people suffer from unidentified MDD. Health services should be developed with respect to sensitivity to detect signs of depression among the long-term unemployed.
  • Jousmäki, Henna (Helsinki Collegium for Advanced Studies, 2014)
    COLLeGIUM: Studies across Disciplines in the Humanities and Social Sciences 15
    This chapter shows that, although the geographical roots of Christian metal (CM) bands do play a role, not least for the audiences, the crossing of national borders in online settings is equally important both to the audience and to the bands themselves. A detailed look into the discourse and interaction around Finnish CM music on YouTube.com is the basis for considering social media sites, such as YouTube, as providing a space for translocal negotiation of and identification on the basis of religiosity, music, language and place.
  • Joutsen, Suvi; Johansson, Per; Laukkanen-Ninios, Riikka; Björkroth, Johanna; Fredriksson-Ahomaa, Maria (2020)
    Yersinia enterocolitica is the most common Yersinia species causing foodborne infections in humans. Pathogenic strains carry the chromosomal ail gene, which is essential for bacterial attachment to and invasion into host cells and for serum resistance. This gene is commonly amplified in several PCR assays detecting pathogenic Y. enterocolitica in food samples and discriminating pathogenic isolates from non-pathogenic ones. We have isolated several non-pathogenic ail-positive Yersinia strains from various sources in Finland. For this study, we selected 16 ail-positive Yersinia strains, which were phenotypically and genotypically characterised. Eleven strains were confirmed to belong to Y. enterocolitica and five strains to Yersinia kristensenii using whole-genome alignment, Parsnp and the SNP phylogenetic tree. All Y. enterocolitica strains belonged to non-pathogenic biotype 1A. We found two copies of the ail gene (ail1 and ail2) in all five Y. kristensenii strains and in one Y. enterocolitica biotype 1A strain. All 16 Yersinia strains carried the ail1 gene consisting of three different sequence patterns (A6-A8), which were highly similar with the ail gene found in high-pathogenic Y. enterocolitica biotype 1B strains (A2). The Ail protein encoded by the ail1 gene was highly conserved compared to the Ail protein encoded by the ail2 gene. Multiple sequence alignment of the ail gene and Ail protein were conducted with MAFF. In total, 10 ail sequence variations have been identified, of which 8 conserved ones belonged to the ail1 gene. According to our results, the detection of ail alone is not sufficient to predict the pathogenicity of Yersinia isolates.