排序方式： 共有65条查询结果，搜索用时 15 毫秒
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Elina A. Stefanovics Mauro V.M. Filho Robert A. Rosenheck Sandra Scivoletto 《Child abuse & neglect》2014
This study sought to implement outcomes monitoring and to review outcome data from a community-based rehabilitation program for maltreated children and adolescents in São Paulo, Brazil. Maltreated children and adolescents (N = 452) were enrolled in The Equilibrium Program (TEP), a multidisciplinary community-based rehabilitation program. About half (n = 230) of the participants were successfully evaluated using the Children's Global Assessment Scale (C-GAS) at entry, 3, and/or 6 months later. Analysis of outcomes used hierarchical linear modeling of functional change from baseline. With a baseline C-GAS score of 51.7 (SD = 14.22), average improvement was 2.8 and 5.5 points at 3 and 6 months, respectively (reflecting small to moderate effect sizes = 0.20 and 0.39). Improvement was associated with Problems related to upbringing (p < .02) at entry and absence of Physical abuse (p < .05) and Negative life events in childhood (p < .05) but was not associated with sociodemographics or any specific psychiatric diagnosis. This study showed that outcomes monitoring is feasible in a community-based program in a developing country. Although there was no untreated control group for comparison and specific evidence-based treatments were not used, it is notable that significant improvement, with small to moderate effect size, was observed. 相似文献
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One of the most important opinion mining research directions falls in the extraction of polarities referring to specific entities (aspects) contained in the analyzed texts. The detection of such aspects may be very critical especially when documents come from unknown domains. Indeed, while in some contexts it is possible to train domain-specific models for improving the effectiveness of aspects extraction algorithms, in others the most suitable solution is to apply unsupervised techniques by making such algorithms domain-independent and more efficient in a real-time environment. Moreover, an emerging need is to exploit the results of aspect-based analysis for triggering actions based on these data. This led to the necessity of providing solutions supporting both an effective analysis of user-generated content and an efficient and intuitive way of visualizing collected data. In this work, we implemented an opinion monitoring service implementing (i) a set of unsupervised strategies for aspect-based opinion mining together with (ii) a monitoring tool supporting users in visualizing analyzed data. The aspect extraction strategies are based on the use of an open information extraction strategy. The effectiveness of the platform has been tested on benchmarks provided by the SemEval campaign and have been compared with the results obtained by domain-adapted techniques. 相似文献
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Elisa Cimetta Mauro Franzoso Marta Trevisan Elena Serena Alessandro Zambon Stefano Giulitti Luisa Barzon Nicola Elvassore 《Biomicrofluidics》2012,6(2):024127-12
Advanced cell culture systems creating a controlled and predictable microenvironment together with computational modeling may be useful tools to optimize the efficiency of cell infections. In this paper, we will present a phenomenological study of a virus-host infection system, and the development of a multilayered microfluidic platform used to accurately tune the virus delivery from a diffusive-limited regime to a convective-dominated regime. Mathematical models predicted the convective-diffusive regimes developed within the system itself and determined the dominating mass transport phenomena. Adenoviral vectors carrying the enhanced green fluorescent protein (EGFP) transgene were used at different multiplicities of infection (MOI) to infect multiple cell types, both in standard static and in perfused conditions. Our results validate the mathematical models and demonstrate how the infection processes through perfusion via microfluidic platform led to an enhancement of adenoviral infection efficiency even at low MOIs. This was particularly evident at the longer time points, since the establishment of steady-state condition guaranteed a constant viral concentration close to cells, thus strengthening the efficiency of infection. Finally, we introduced the concept of effective MOI, a more appropriate variable for microfluidic infections that considers the number of adenoviruses in solution per cell at a certain time. 相似文献
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A landmark-based statistical method, morphological variation analysis, for the quantification of the repeatability in the arrangement of body segments during the execution of sport actions has recently been developed. A two-dimensional shape is produced and its morphology is studied. The method was used to measure the within-team variability of the relative positions of players during the execution of offensive schemes in soccer. Two junior soccer teams of different technical abilities (semi-professional vs. amateur), each playing two standardized offensive schemes of different difficulty (easier: throw-in; more difficult: wing attack) were filmed. Each scheme was repeated 25 (semi-professionals) or 10 (amateurs) times. For each repetition, the position of the players in a single significant frame was analysed using morphological variation analysis. The reproducibility of both schemes was higher among the semi-professionals than among the amateurs (two-way analysis of variance, P<0.005). The repeatability of the players' relative positions was related to the difficulty of the scheme and the technical level of the team. Among the amateurs, the throw-in was more reproducible than the wing attack (Student's t-test, P<0.005). The method not only allows the quantification of collective (team) coordination, but also the separation of the influence of individual players. 相似文献
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Max Mauro 《Sport in Society》2017,20(7):833-847
Over the last decade, the international governing body of association football, FIFA, has introduced new regulations for the registration of young players. The regulations are aimed at ‘protecting minors’ at being trafficked from developing countries to clubs based in the majority of cases in Europe. While strengthening control on the status of players as young as ten, the FIFA norms and their intersection with national and European norms have laid the legal basis for forms of institutional discrimination meted out to youth of immigrant background living in Europe. This paper emerges from a study on youth of immigrant background’s participation in Italian football. It uses the theoretical framework of Agamben’s analysis of Western democracies’ citizenship crisis to highlight the contradictions implicit in the Italian FA’s implementation of FIFA regulations in a scenario permeated by nationalistic values, which create different levels of participation according to the legal status of young people. 相似文献
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Andrea De Mauro Marco Greco Michele Grimaldi Paavo Ritala 《Information processing & management》2018,54(5):807-817
The rapid expansion of Big Data Analytics is forcing companies to rethink their Human Resource (HR) needs. However, at the same time, it is unclear which types of job roles and skills constitute this area. To this end, this study pursues to drive clarity across the heterogeneous nature of skills required in Big Data professions, by analyzing a large amount of real-world job posts published online. More precisely we: 1) identify four Big Data ‘job families’; 2) recognize nine homogeneous groups of Big Data skills (skill sets) that are being demanded by companies; 3) characterize each job family with the appropriate level of competence required within each Big Data skill set. We propose a novel, semi-automated, fully replicable, analytical methodology based on a combination of machine learning algorithms and expert judgement. Our analysis leverages a significant amount of online job posts, obtained through web scraping, to generate an intelligible classification of job roles and skill sets. The results can support business leaders and HR managers in establishing clear strategies for the acquisition and the development of the right skills needed to leverage Big Data at best. Moreover, the structured classification of job families and skill sets will help establish a common dictionary to be used by HR recruiters and education providers, so that supply and demand can more effectively meet in the job marketplace. 相似文献