The media use of diaspora in a conflict situation : A case study of Venezuelans in Finland

Many Venezuelan emigrants have an emotional connection and/or they have family members and friends in the country of origin, and that is why they seek to find reliable information on the conflict situation in Venezuela. Therefore, they keep in touch with family members, read mainstream news and use different social media platforms. Thus, what kind of impact the conflict has on the media use and how events reported in the media are interpreted is investigated in this study of Venezuelan diaspora in Finland by using social media ethnography. There are internal and external factors behind the media use. External factors come from societies of the host and origin countries. Internal factors rise from family connections and identity construction concerning personal national identity or political activism.Peer reviewe

Deciphering the cryptoregiochemistry of oleate Δ12 desaturase: A kinetic isotope effect study

The intermolecular primary deuterium isotope effects on the individual C-H bond cleavage steps involved in linoleic acid biosynthesis were determined using a suitably transformed strain of Saccharomyces cerevisiae containing a functional oleate Δ12 desaturase from Arabidopsis thaliana. Mass spectral analysis of the methyl 7-thialinoleate fraction obtained from competition experiments involving methyl 7-thiastearate, methyl [12,12-2H2]-7-thiastearate and methyl [13,13-2H2]-7-thiastearate showed that cleavage of the C12-H bond is very sensitive to isotopic substitution (k(H)/k(D) = 7.3 ± 0.4) while a negligible isotope effect (k(H)/k(D) = 1.05 ± 0.04) was observed for the C13-H bond breaking step. This result strongly suggests that the site of initial oxidation for Δ12 desaturation is at C-12. The possible relationship between castor oleate 12-hydroxylase and microsomal Δ12 oleate desaturases is discussed in the context of a common mechanistic paradigm. Our methodology may be also be useful in deciphering the cryptoregiochemistry of other desaturase systems

Activation of the Under-windows Honey pot in Presenting a Factitious Networking

The extending use of the new technologies, the increasing number of the users, and also the increasing amount of the exchanged data between them, will certainly lower the acquaintance level of the personal elements with this virtual world, and this has caused the companies and the personal users ' security to be threatened more and more by extra danger. Security is one of the most complicated and most important current issues of the computer network world. In this study, in addition to discussing honey pot, a new method to enhance the security level has been presented, which has used a kind of honey pot called Honeyed. Our proposed method is that we will be able to actively and regularly change the Honey's presented configuration by an algorithm sketching. We performed our sketched tool in a network with a multi-node windows system and analyzed our study results and outputs. Finally, we will explain that thereby an invader cannot easily find out the network's existing deficiencies and weak points and cannot proceed with the next steps of the invasion

Study on Learning Techniques for Text Classification

Data mining is a one of most popular technologies to information management. One of the most important our data, is text document. We can sort and classify these text documents by data mining techniques. Text classification is a technique to sorting text documents. Basic steps in text classification are preprocessing of documents, feature extract / selection, selects learning algorithm and evaluation. When we want to classify text documents using computer systems and machine learning techniques, one of the most important steps in text classification is selecting a learning algorithm. In this paper we review some effectiveness learning algorithm researches and show review results of these in a table form

Feature Selection Techniques for Text Classification

Text classification of documents refers to classifying documents to one or more predefined classes. One of the most important steps in text classification is feature selection. In text classification, feature selection is a strategy that can be used to increase the efficiency and accuracy of classification. Feature selection techniques can be classified into two basic categories: filtering techniques and wrapper techniques. Filtering techniques are independent of the learning algorithm. But wrapper methods uses from learning algorithm as the evaluation function. In this paper we review some effectiveness feature selection researches and show review results of these in a table form

Stereochemical analysis of d-glucopyranosyl-sulfoxides via a combined NMR, molecular modeling and x-ray crystallographic approach

International audienc

The transcriptomic basis of oviposition behaviour in the parasitoid wasp Nasonia vitripennis

Linking behavioural phenotypes to their underlying genotypes is crucial for uncovering the mechanisms that underpin behaviour and for understanding the origins and maintenance of genetic variation in behaviour. Recently, interest has begun to focus on the transcriptome as a route for identifying genes and gene pathways associated with behaviour. For many behavioural traits studied at the phenotypic level, we have little or no idea of where to start searching for "candidate" genes: the transcriptome provides such a starting point. Here we consider transcriptomic changes associated with oviposition in the parasitoid wasp Nasonia vitripennis. Oviposition is a key behaviour for parasitoids, as females are faced with a variety of decisions that will impact offspring fitness. These include choosing between hosts of differing quality, as well as making decisions regarding clutch size and offspring sex ratio. We compared the whole-body transcriptomes of resting or ovipositing female Nasonia using a "DeepSAGE" gene expression approach on the Illumina sequencing platform. We identified 332 tags that were significantly differentially expressed between the two treatments, with 77% of the changes associated with greater expression in resting females. Oviposition therefore appears to focus gene expression away from a number of physiological processes, with gene ontologies suggesting that aspects of metabolism may be down-regulated during egg-laying. Nine of the most abundant differentially expressed tags showed greater expression in ovipositing females though, including the genes purity-of-essence (associated with behavioural phenotypes in Drosophila) and glucose dehydrogenase (GLD). The GLD protein has been implicated in sperm storage and release in Drosophila and so provides a possible candidate for the control of sex allocation by female Nasonia during oviposition. Oviposition in Nasonia therefore clearly modifies the transcriptome, providing a starting point for the genetic dissection of oviposition.Publisher PDFPeer reviewe