Promoting attitude change and expressed willingness to take action toward climate change in college students

This study examined the relationship among cognitive and motivational variables impacting college students’ willingness to take mitigative action to reduce the impacts of human-induced climate change. One hundred and forty college students were asked to read a persuasive text about human-induced climate change and were pre and post tested on their attitudes about climate change and their willingness to take action to mitigate its effects. Students showed statistically significant changes in their attitudes about climate change and their willingness to commit to take action. A path model demonstrated that openness to change and a willingness to think deeply about issues predicted both change in attitudes and expressed willingness to take action. This research demonstrates that a persuasive text has the potential to promote change around complex socio-scientific issues.     

Functional outcomes of maltreated children and adolescents in a community-based rehabilitation program in Brazil: Six-month improvement and baseline predictors

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.     

An unsupervised aspect extraction strategy for monitoring real-time reviews stream

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.     

Microfluidic-driven viral infection on cell cultures: Theoretical and experimental study

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.     

Morphological variation analysis of the repeatability of soccer offensive schemes

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.     

The Challenges of Defining and Measuring Student Engagement in Science

Engagement is one of the hottest research topics in the field of educational psychology. Research shows that multifarious benefits occur when students are engaged in their own learning, including increased motivation and achievement. However, there is little agreement on a concrete definition and effective measurement of engagement. This special issue serves to discuss and work toward addressing conceptual and instrumentation issues related to engagement, with particular interest in engagement in the domain of science learning. We start by describing the dimensional perspective of engagement (behavioral, cognitive, emotional, agentic) and suggest a complementary approach that places engagement instrumentation on a continuum. Specifically, we recommend that instrumentation be considered on a “grain-size” continuum that ranges from a person-centered to a context-centered orientation to clarify measurement issues. We then provide a synopsis of the articles included in this special issue and conclude with suggestions for future research.