7,205 research outputs found

    Equivariant differential characters and symplectic reduction

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    We describe equivariant differential characters (classifying equivariant circle bundles with connections), their prequantization, and reduction

    Гуманізуючий потенціал дистанційного навчання у контексті демократизації мовної освіти

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    У статті розглядається питання гуманізації мовної освіти за допомогою дистанційного навчання. Зроблено висновок про те, що слід активно використовувати сучасні інформаційні технології для гуманізації і демократизації сфери освіти.В статье рассмотрен вопрос гуманизации языкового образования с помощью дистанционного обучения. Сделан вывод о том, что следует активно использовать современные информационные технологии для гуманизации и демократизации сферы образования.The question of humanization of language education through distant teaching is considered. It is concluded that modern information technologies should be actively used for humanization and democratization of the educational sphere

    Subtyping psychological distress in the population:A semi-parametric network approach

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    AimsThe mechanisms underlying both depressive and anxiety disorders remain poorly understood. One of the reasons for this is the lack of a valid, evidence-based system to classify persons into specific subtypes based on their depressive and/or anxiety symptomatology. In order to do this without a priori assumptions, non-parametric statistical methods seem the optimal choice. Moreover, to define subtypes according to their symptom profiles and inter-relations between symptoms, network models may be very useful. This study aimed to evaluate the potential usefulness of this approach. METHODS: A large community sample from the Canadian general population (N = 254 443) was divided into data-driven clusters using non-parametric k-means clustering. Participants were clustered according to their (co)variation around the grand mean on each item of the Kessler Psychological Distress Scale (K10). Next, to evaluate cluster differences, semi-parametric network models were fitted in each cluster and node centrality indices and network density measures were compared. RESULTS: A five-cluster model was obtained from the cluster analyses. Network density varied across clusters, and was highest for the cluster of people with the lowest K10 severity ratings. In three cluster networks, depressive symptoms (e.g. feeling depressed, restless, hopeless) had the highest centrality. In the remaining two clusters, symptom networks were characterised by a higher prominence of somatic symptoms (e.g. restlessness, nervousness). CONCLUSION: Finding data-driven subtypes based on psychological distress using non-parametric methods can be a fruitful approach, yielding clusters of persons that differ in illness severity as well as in the structure and strengths of inter-symptom relationships

    Effect of B-site Dopants on Magnetic and Transport Properties of LaSrCoRuO6_6

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    Effect of Co, Ru and Cu substitution at B and B' sites on the magnetic and transport properties of LaSrCoRuO6_6 have been investigated. All the doped compositions crystallize in the monoclinic structure in the space group P21/nP2_1/n indicating a double perovskite structure. While the magnetization and conductivity increase in Co and Ru doped compounds, antiferromagnetism is seen to strengthen in the Cu doped samples. These results are explained on the basis of a competition between linear Co-O-Ru-O-Co and perpendicular Co-O-O-Co antiferromagnetic interactions and due to formation of Ru-O-Ru ferromagnetic networks
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