Neck,shoulder and low back pain in secondary schoolchildren in relation to schoolbag carriage: Should the recommended weight limits be gender-specific?

The occurrence of neck, shoulder and low back complaints in relation to schoolbag carriage and other potential risk factors were investigated in a cross-sectional study of 586 Iranian schoolchildren aged 12–14 years. The average load carried by schoolchildren was 2.8 kg. Neck, shoulder and low back complaints during the preceding month were reported by 35.3%, 26.1% and 33% of the students, respectively. Gender was an independent factor predicting musculoskeletal symptoms in schoolchildren. Girls were more likely than boys to suffer from neck, shoulder and low back complaints, although there was no significant difference between genders in terms of schoolbag carriage variables. The findings suggest that the recommended weight limit for schoolbag carriage may need to differ between boys and girls. The associations between schoolbag variables and reported symptoms are also discussed. The results provide evidence that the current weight limit should consider a broader combination of factors that influence the use of schoolbags.     

Fluctuating surface shear stresses on bluff bodies

A pulsed wall gauge has been used to obtain measurements of the mean and fluctuating skin friction on the top surface of bluff bodies mounted in thick turbulent boundary layers. The mean flow results presented in our earlier paper [2] are complemented here by further mean surface shear stress data and by fluctuating data, which include some measurements of the probability density function of the instantaneous surface shear stress. By suitable combinations of body geometry and upstream flow properties three different “types” of flow, characterised by very different mean flow behaviour in the vicinity of the body, have been investigated. It is argued that the practically important effects of the flow around such bodies often depend much less on the mean flow structure than on the nature of the fluctuating flow.     

The lasting effect of words on feelings: Words may facilitate exposure effects to threatening images.

[Correction Notice: An erratum for this article was reported in Vol 8(4) of Emotion (see record 2008-12765-001). The URL provided for the supplemental materials was incorrect. The correct URL is provided in the erratum.] Previous studies have shown that mere words, particularly affective words, can dampen emotional responses. However, the effect of affective labels on emotional responding in the long term is unknown. The authors examined whether repeated exposure to aversive images would lead to more reduction in autonomic reactivity a week later if the images were exposed with single-word labels than without labels. In Experiment 1, healthy individuals were exposed to pictures of disturbing scenes with or without labels on Day 1. On Day 8, the same pictures from the previous week were exposed, this time without labels. In Experiment 2, participants were spider fearful and were exposed to pictures of spiders. In both experiments, although repeated exposure to aversive images (without labels) led to long-term attenuation of autonomic reactivity, exposure plus affective labels, but not nonaffective labels, led to more attenuation than exposure alone. Thus, affective labels may help dampen emotional reactivity in both the short and long terms. Implications for exposure therapy and translational studies are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A vulnerability-centric requirements engineering framework: analyzing security attacks, countermeasures, and requirements based on vulnerabilities

Many security breaches occur because of exploitation of vulnerabilities within the system. Vulnerabilities are weaknesses in the requirements, design, and implementation, which attackers exploit to compromise the system. This paper proposes a methodological framework for security requirements elicitation and analysis centered on vulnerabilities. The framework offers modeling and analysis facilities to assist system designers in analyzing vulnerabilities and their effects on the system; identifying potential attackers and analyzing their behavior for compromising the system; and identifying and analyzing the countermeasures to protect the system. The framework proposes a qualitative goal model evaluation analysis for assessing the risks of vulnerabilities exploitation and analyzing the impact of countermeasures on such risks.