The early development of sex-differentiated patterns of social influence.

Examined the verbal social influence styles of 36 boys and girls aged 41–52 mo and 38 boys and girls aged 54–66 mo. Ss were observed in the classroom for 36 min each, over several months. Results indicate that boys emitted a greater number of influence attempts than girls and that this was almost entirely due to their greater use of direct forms of requests. This sex-differentiation in the use of direct requests became more pronounced with age. In contrast, girls increased their use of indirect forms of influence between the ages of 3 and 5 yrs. Success of peer influence attempts towards boys decreased with age from 3 to 5 yrs, especially attempts of the indirect type, while success of attempts toward girls remained relatively stable with age. Girls' direct requests were more successful toward same-sex than opposite-sex peers. These patterns are discussed in terms of the role they might play in perpetuating the rigidity with which children establish same-sex groups during the preschool period. (French abstract) (20 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Increased processing enhances calibration of comprehension.

Two experiments investigated whether increased processing increases the relation between test performance predictions and test performance, i.e., increases calibration of comprehension. The amount of processing of text was manipulated by having subjects read intact text or text with deleted letters. In Experiment 1, intact versus deleted letters were manipulated within subjects, and subjects made either comprehension ease or test prediction ratings. Paragraphs with deleted letters produced higher correlations between predictions and test performance than did intact paragraphs. Better calibration with more processing was not observed for ratings of comprehension ease. In Experiment 2, in a between-subjects design, the prediction results were replicated; calibration was better for text with deleted letters than for intact text. The results show that subjects can predict performance on text material with greater than chance accuracy and that these predictions are better when subjects do more active processing during reading. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Impact of close family members on older adults' early response to depression treatment.

This study of 130 depressed older adults and their spouses or adult children examined the impact of caregiver burden specific to patients' depressive symptoms on patients' response to antidepressant treatment. Primary care patients completed medical, psychiatric, and neuropsychological assessments prior to treatment, and interviews were conducted with their identified family member. As hypothesized, caregivers' depression-specific burden predicted greater depression severity for the patient at the 6th week of treatment after accounting for patients' pretreatment characteristics, caregivers' depressive symptoms, and caregivers' relationship satisfaction. Future research may identify family attitudes and behaviors that stem from burden and compromise older adults' ability to recover from depression. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The Watcombe housing study: the short-term effect of improving housing conditions on the indoor environment

A three-year study (1999-2001) was initiated in the UK to assess the effect of improving housing conditions in 3-4 bedroom, single-family unit, social rented sector houses on the health of the occupants. The houses were randomised into two groups. Phase I houses received extensive upgrading including wet central heating, on demand ventilation, double-glazed doors, cavity wall and roof/loft insulation. An identical intervention for Phase II houses was delayed for one year. As part of this randomised waiting list study, discrete measurements were made of indoor environmental variables in each house, to assess the short-term effects of improving housing conditions on the indoor environment. Variables representative of indoor environmental conditions were measured in the living room, bedroom and outdoors in each of the three years of the study. In 2000, there was a significant difference between the changes from 1999 to 2000 between Phase I (upgraded) and II (not then upgraded) houses for bedroom temperatures (p=0.002). Changes in wall surface dampness and wall dampness in Phase I houses were also significantly different to the change in Phase II houses in 2000 (p=0.001), but by 2001 the Phase I houses had reverted to the same dampness levels they had before upgrading. The housing upgrades increased bedroom temperatures in all houses. Other indoor environmental variables were not affected.     

Graphene-based ultracapacitors

The surface area of a single graphene sheet is 2630 m(2)/g, substantially higher than values derived from BET surface area measurements of activated carbons used in current electrochemical double layer capacitors. Our group has pioneered a new carbon material that we call chemically modified graphene (CMG). CMG materials are made from 1-atom thick sheets of carbon, functionalized as needed, and here we demonstrate in an ultracapacitor cell their performance. Specific capacitances of 135 and 99 F/g in aqueous and organic electrolytes, respectively, have been measured. In addition, high electrical conductivity gives these materials consistently good performance over a wide range of voltage scan rates. These encouraging results illustrate the exciting potential for high performance, electrical energy storage devices based on this new class of carbon material.     

Predictive microbiology models vs. modeling microbial growth within Listeria monocytogenes risk assessment: what parameters matter and why

Predictive microbiology models are essential tools to model bacterial growth in quantitative microbial risk assessments. Various predictive microbiology models and sets of parameters are available: it is of interest to understand the consequences of the choice of the growth model on the risk assessment outputs. Thus, an exercise was conducted to explore the impact of the use of several published models to predict Listeria monocytogenes growth during food storage in a product that permits growth. Results underline a gap between the most studied factors in predictive microbiology modeling (lag, growth rate) and the most influential parameters on the estimated risk of listeriosis in this scenario (maximum population density, bacterial competition). The mathematical properties of an exponential dose-response model for Listeria accounts for the fact that the mean number of bacteria per serving and, as a consequence, the highest achievable concentrations in the product under study, has a strong influence on the estimated expected number of listeriosis cases in this context.