334 research outputs found
Multi-functional Building
Diplomová práce je vypracovaná ve formě projektové dokumentace polyfunkčního domu. Objekt má jeden podzemní a čtyři nadzemní podlaží. Navržená budova má plochou střechu a dosahuje výšku 16,650 m nad podlahou 1.NP. Budova má nosnou systém ze betonového monolitického skeletu. Stropní deska je řešená jako deska lokálně podepřená sloupy. Budova se skládá ze dvou částí. V prvním části jsou obchodní prostory v 1.NP a ve podsklepené podlaží je prostor pro Fitness. Druhá část slouží pro bydlení skládající se ze 12 obytných jednotekMaster thesis is composed from project documentation of Multi-functional building. The object has one basement floor and four floor. The building has flat roof and come up to height 16,65m. The structural system is designed from reinforced concrete skeleton. The building has two main parts. The first is commercial space, which is located on first floor and basement. The second part is used for living. The building has 12 apartments.
On the proof of some theorem on locally nilpotent subgroups in division rings
In Hai-Thin (2009), there is a theorem, stating that every locally nilpotent
subnormal subgroup in a division ring is central (see Hai-Thin (2009, Th.
2.2)). Unfortunately, there is some mistake in the proof of this theorem. In
this note we give the another proof of this theorem.Comment: 3 page
Online social capital : mood, topical and psycholinguistic analysis
Social media provides rich sources of personal information and community interaction which can be linked to aspect of mental health. In this paper we investigate manifest properties of textual messages, including latent topics, psycholinguistic features, and authors\u27 mood, of a large corpus of blog posts, to analyze the aspect of social capital in social media communities. Using data collected from Live Journal, we find that bloggers with lower social capital have fewer positive moods and more negative moods than those with higher social capital. It is also found that people with low social capital have more random mood swings over time than the people with high social capital. Significant differences are found between low and high social capital groups when characterized by a set of latent topics and psycholinguistic features derived from blogposts, suggesting discriminative features, proved to be useful for classification tasks. Good prediction is achieved when classifying among social capital groups using topic and linguistic features, with linguistic features are found to have greater predictive power than latent topics. The significance of our work lies in the importance of online social capital to potential construction of automatic healthcare monitoring systems. We further establish the link between mood and social capital in online communities, suggesting the foundation of new systems to monitor online mental well-being
Normal Criteria for Families of Meromorphic Functions
Final version. Title and abstract have been slightly modifiedInternational audienceBy using Nevanlinna theory, we prove some normality criteria for a family of meromorphic functions under a condition on differential polynomials generated by the members of the family
- …
