Household wealth and adolescents' social-emotional functioning in schools.

This study attempts a two-part shift in educational research narrowly fixated on the socioeconomic determinants of student test-score performance. First, we focus on variations in how to measure wealth. Second, we move beyond achievement and focus on the wealth determinants of adolescents' social-emotional competencies. Using data from a nationally-representative sample of US eighth graders, we find that the correlation between wealth and social-emotional competencies varies according to how the partitions among the upper class, the middle and working classes, and the poor are defined. By emphasizing wealth in the production of classed social-emotional competencies not captured by test scores, our findings suggest that the growth of household wealth has a more salient effect for lower- and middle-class adolescents than the highest class which appears to have the least to gain, in terms of social-emotional competencies, from an increase in household wealth

The Culturally-adapted Early Pathways Program for Young Latino Children in Poverty: A Randomized Controlled Trial

This study used a randomized controlled design with treatment and wait-list conditions to evaluate the efficacy of a culturally adapted version of the Early Pathways program (EP; Fox & Gresl, 2014), an in-home, parent–child therapy program with 137 at-risk Latino children under the age of 6 referred for severe behavior and emotional problems, such as aggression, oppositional behavior, self-injury, and property destruction. EP directly engaged the parent–child dyad, emphasizing parent-directed training, child-led play, psychoeducation, and cognitive–behavioral strategies. Cultural modifications included establishing community partnerships to identify Latino family needs, translation of materials, offering bilingual services, acculturation assessment, and cultural competence training. Multivariate analyses of covariance (MANCOVA) revealed significant differences between the immediate and delayed treatment groups on all posttest measures with the pretest scores as covariates. After the delayed group completed treatment, repeated measures, multivariate analyses of variance (MANOVA) showed significant improvement for both groups on all measures with maintenance at 4- to 6-week follow-up. Outcomes included reduced child behavior problems, increased child prosocial behaviors, improved caregiver limit setting, enhanced caregiver nurturing, improved parent–child relationships, and a decrease in clinical diagnoses following treatment. This study highlights the efficacy of using culturally adapted early intervention services for young Latino children in poverty referred for significant behavior and emotional problems

Income Distribution, Technical Change and the Dynamics of International Economic Integration

This paper explores the features of a dynamic multisectoral model which focuses on the relationship between income distribution, growth and international specialization. The model is explored both for the steady- state properties and the transitory dynamics of integrated economies. Income inequality affects the patterns of growth and international specialization as the model uses non-linear Engel curves and hence different income groups are characterized by different expenditure patterns. At the same time income distribution is also reflected in the relative wage rates of skilled to unskilled workers, i.e. the skill premium, and hence the wage structure affects comparative costs of industries which have different skill intensities. The model is applied to a situation which analyses qualitatively different economic development strategies of catching-up economies (a 'Latin American' scenario and a 'South East Asian' scenario).income distribution, growth, international economic integration, catching-up, international specialization

Improving the conductance of carbon nanotube networks through resonant momentum exchange

We present a mechanism to improve the conductivity of carbon nanotube (CNT) networks by improving the conductance between CNTs of different chirality. We argue generally that a weak perturbation can greatly improve the inter-tube conductance by allowing momentum-conserving tunnelling. The mechanism is verified with a tight-binding model, allowing an investigation of its impact for a network containing a range of chiralities. We discuss practical implementations, and conclude that it may be effected by weak physical interactions, and therefore does not require chemical bonding to the CNTs.Comment: 6 pages, 4 figure

Gaussian process regression for forecasting battery state of health

Accurately predicting the future capacity and remaining useful life of batteries is necessary to ensure reliable system operation and to minimise maintenance costs. The complex nature of battery degradation has meant that mechanistic modelling of capacity fade has thus far remained intractable; however, with the advent of cloud-connected devices, data from cells in various applications is becoming increasingly available, and the feasibility of data-driven methods for battery prognostics is increasing. Here we propose Gaussian process (GP) regression for forecasting battery state of health, and highlight various advantages of GPs over other data-driven and mechanistic approaches. GPs are a type of Bayesian non-parametric method, and hence can model complex systems whilst handling uncertainty in a principled manner. Prior information can be exploited by GPs in a variety of ways: explicit mean functions can be used if the functional form of the underlying degradation model is available, and multiple-output GPs can effectively exploit correlations between data from different cells. We demonstrate the predictive capability of GPs for short-term and long-term (remaining useful life) forecasting on a selection of capacity vs. cycle datasets from lithium-ion cells.Comment: 13 pages, 7 figures, published in the Journal of Power Sources, 201

Railroads and Local Economic Development: The United States in the 1850s

We use county and individual-level data from 1850 and 1860 to examine the economic impact of gaining access to a railroad. Previous studies have found that rail access was positively correlated with the value of agricultural land at a point in time, and have interpreted this correlation as evidence that rail access chiefly benefitted agricultural land owners in the manner predicted by the Hekscher-Ohlin or Von Theunen models. We use a difference-in-difference strategy, comparing changes in outcomes in counties that gained rail access in the 1850s to those that either gained access earlier or did not have access before the Civil War. Most of the estimated effects are small and the signs are not wholly consistent with either model, under the null hypothesis that agriculture was the chief beneficiary of rail access. For example, we find that rail access appears to have increased urbanization, raised the likelihood of participation in the service sector, decreased agricultural yields, and reduced the share of improved acreage in total land area, opposite to the patterns predicted by either the Heckscher-Ohlin or Von Theunen models.