899 resultados para Piirainen-Marsh, Arja: Face in second language interaction
Resumo:
This paper examines how a second-tier high-technology region leveraged corporate assets—mostly from transnational firms—in building a knowledge-based economy. The paper reviews how firm building and entrepreneurship influence the evolution of a peripheral regional economy. Using a case study of Boise, Idaho (the US), the research highlights several important sources of entrepreneurship. Entrepreneurial firm formation is closely linked with a region's ability to grow incubator organizations, particularly innovative firms. These innovative firms provide the training ground for entrepreneurs. Firms, however, differ and the ways in which firm building activities influence regional entrepreneurship depend on firm strategy and organization. Thus, second-tier high-tech regions in the US are taking a different path than their well-known counterparts such as Silicon Valley or Route 128 around Boston.
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BACKGROUND There is debate over using tenofovir or zidovudine alongside lamivudine in second-line antiretroviral therapy (ART) following stavudine failure. We analyzed outcomes in cohorts from South Africa, Zambia and Zimbabwe METHODS: Patients aged ≥16 years who switched from a first-line regimen including stavudine to a ritonavir-boosted lopinavir-based second-line regimen with lamivudine or emtricitabine and zidovudine or tenofovir in seven ART programs in southern Africa were included. We estimated the causal effect of receiving tenofovir or zidovudine on mortality and virological failure using Cox proportional hazards marginal structural models. Its parameters were estimated using inverse probability of treatment weights. Baseline characteristics were age, sex, calendar year and country. CD4 cell count, creatinine and hemoglobin levels were included as time-dependent confounders. RESULTS 1,256 patients on second-line ART, including 958 on tenofovir, were analyzed. Patients on tenofovir were more likely to have switched to second-line ART in recent years, spent more time on first-line ART (33 vs. 24 months) and had lower CD4 cell counts (172 vs. 341 cells/μl) at initiation of second-line ART. The adjusted hazard ratio comparing tenofovir with zidovudine was 1.00 (95% confidence interval 0.59-1.68) for virologic failure and 1.40 (0.57-3.41) for death. CONCLUSIONS We did not find any difference in treatment outcomes between patients on tenofovir or zidovudine; however, the precision of our estimates was limited. There is an urgent need for randomized trials to inform second-line ART strategies in resource-limited settings.
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High-throughput assays, such as yeast two-hybrid system, have generated a huge amount of protein-protein interaction (PPI) data in the past decade. This tremendously increases the need for developing reliable methods to systematically and automatically suggest protein functions and relationships between them. With the available PPI data, it is now possible to study the functions and relationships in the context of a large-scale network. To data, several network-based schemes have been provided to effectively annotate protein functions on a large scale. However, due to those inherent noises in high-throughput data generation, new methods and algorithms should be developed to increase the reliability of functional annotations. Previous work in a yeast PPI network (Samanta and Liang, 2003) has shown that the local connection topology, particularly for two proteins sharing an unusually large number of neighbors, can predict functional associations between proteins, and hence suggest their functions. One advantage of the work is that their algorithm is not sensitive to noises (false positives) in high-throughput PPI data. In this study, we improved their prediction scheme by developing a new algorithm and new methods which we applied on a human PPI network to make a genome-wide functional inference. We used the new algorithm to measure and reduce the influence of hub proteins on detecting functionally associated proteins. We used the annotations of the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) as independent and unbiased benchmarks to evaluate our algorithms and methods within the human PPI network. We showed that, compared with the previous work from Samanta and Liang, our algorithm and methods developed in this study improved the overall quality of functional inferences for human proteins. By applying the algorithms to the human PPI network, we obtained 4,233 significant functional associations among 1,754 proteins. Further comparisons of their KEGG and GO annotations allowed us to assign 466 KEGG pathway annotations to 274 proteins and 123 GO annotations to 114 proteins with estimated false discovery rates of <21% for KEGG and <30% for GO. We clustered 1,729 proteins by their functional associations and made pathway analysis to identify several subclusters that are highly enriched in certain signaling pathways. Particularly, we performed a detailed analysis on a subcluster enriched in the transforming growth factor β signaling pathway (P<10-50) which is important in cell proliferation and tumorigenesis. Analysis of another four subclusters also suggested potential new players in six signaling pathways worthy of further experimental investigations. Our study gives clear insight into the common neighbor-based prediction scheme and provides a reliable method for large-scale functional annotations in this post-genomic era.
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Career choices in the fields of science, technology, engineering, and mathematics (STEM) are favoured by men and often avoided by women; on the other hand, women tend to choose fields such as the social sciences. This not only leads to a shortage of employees with STEM degrees, but also reinforces the prejudice that certain (personality) characteristics are ‘typically female’ or ‘typically male’. Career orientation motives of young women and men can have important implications for gender (a-)typical career choices. However, there is little empirical research on the correlates of career orientation motives in young women in the field of STEM. This study seeks to address this gap by outlining the components of career orientation motives and showing relationships among them. Therefore, our results provide insight into the circumstances and conditions that are associated with academic and career choices.
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Elena Makarova traces how the concept of intercultural education in German-speaking European countries promotes the inclusion of courses in the Language and Culture of Origin (LCO) for immigrant youth in the school curriculum of host countries. Such courses are assumed to have positive effects on the development of immigrant youth in the host country. Particularly, it has been suggested that participation in LCO courses increases the self-esteem of immigrant youth, facilitates the development of their bicultural identity and improves their integration in the host society. However, there is a lack of empirical evidence on the nature of the effects of LCO course attendance on the acculturation of immigrant youth and their cultural identity. Accordingly, the aim of the study detailed in the chapter is to examine the impact of immigrant youth’s attitudes towards LCO courses and of their attendance of such courses on their acculturation and cultural identity.
Relative Predicativity and dependent recursion in second-order set theory and higher-orders theories
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This article reports that some robustness of the notions of predicativity and of autonomous progression is broken down if as the given infinite total entity we choose some mathematical entities other than the traditional ω. Namely, the equivalence between normal transfinite recursion scheme and new dependent transfinite recursion scheme, which does hold in the context of subsystems of second order number theory, does not hold in the context of subsystems of second order set theory where the universe V of sets is treated as the given totality (nor in the contexts of those of n+3-th order number or set theories, where the class of all n+2-th order objects is treated as the given totality).
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In this study we investigate the relative frequencies of female and male terms in early reading material for children using the Children’s Printed Word Database as a resource. As roles of females and males have changed over time it is of interest to see if there has been a corresponding change in representations of females and males in children’s books. We carried out analyses regarding different words related to gender. Except for nouns referring to relatives, we found in all word groups a preponderance of male terms. The imbalance of male and female pronouns is equivalent to that reported by Carroll, Davies, and Richman (1971) in a frequency count of printed words in children’s book in the USA conducted some 40 years ago. The results are discussed in terms of gender inequality in reading materials and the development of social mores and stereotypical ideas.