Common causes of sleep disruption and daytime sleepiness: childhood sleep disorders II

There are strong associations between childhood sleep disorders and behavioural, concentration and mood problems. Sleep disorders caused and maintained by behavioural factors (eg, sleep-onset association disorder) are common in young children, and have a significant impact on families. Evaluation should include a medical history, a physical, neurological and developmental examination, a description of any nocturnal events or daytime effects of the child's disturbed sleep, and a good understanding of the family situation and parental management of the child. Management involves recognising the developmental age of the child and the family dynamics, and educating and supporting families in applying behavioural techniques to establish good sleep hygiene. Children with parasomnias (eg, night terrors) also benefit from good sleep hygiene, while those with respiratory or neurological causes of sleep disturbance should be referred for specialist treatment.

Disruption of BRCA I function results in telomere lengthening and increased anaphase bridge formation in immortalized cell lines

BRCA1 is a tumor suppressor that functions in controlling cell growth and maintaining genomic stability. BRCA1 has also been implicated in telomere maintenance through its ability to regulate the transcription of hTERT, the catalytic subunit of telomerase, resulting in telomere shortening, and to colocalize with the telomere-binding protein TRF1. The high incidence of nonreciprocal translocations in tumors arising from BRCA1 mutation carriers and Brca1-null mice also raises the possibility that BRCA1 plays a role in telomere protection. To date, however, the consequences for telomere status of disrupting BRCA1 have not been reported. To examine the role of BRCA1 in telomere regulation, we have expressed a dominant-negative mutant of BRCA1 (trBRCA1), known to disrupt multiple functions of BRCA1, in telomerase-positive mammary epithelial cells (SVCT) and telomerase-negative ALT cells (GM847). In SVCT cells, expression of trBRCA1 resulted in an increased incidence of anaphase bridges and in an increase in telomere length, but no change in telomerase activity. In GM847 cells, trBRCA1 also increased anaphase bridge formation but did not induce any change in telomere length. BRCA1 colocalized with TRF2 in telomerase-positive cells and with a small subset of ALT-associated PML bodies (APBs) in ALT cells. Together, these results raise the possibility that BRCA1 could play a role in telomere protection and suggest a potential mechanism for one of the phenotypes of BRCA1 deficient cells. (c) 2005 Wiley-Liss, Inc.

Mechanical disruption of seagrass in the digestive tract of the dugong

The cheek teeth in dugongs are considered to be largely non-functional whereas the oral horny pads are important both in mechanical disruption of the diet and in conveying seagrass through the mouth. Particle size distributions of digesta from 41 dead stranded dugongs were examined to investigate the relationship between degree of food breakdown, gut region and functional surface area of the mouthparts. The in vitro ease of fracture of major dietary seagrass species were compared. The rate of food breakdown through the gut appears to be more closely linked to fibre level of the diet than to size or age of the dugong and its mouthparts. Low fibre seagrass, for example Halophila ovalis, breaks down at a faster rate than high fibre seagrass, for example Zostera capricorni both in dugong guts and in vitro. Several structural characteristics of seagrass, including level and arrangement of fibre, and water content, make it particularly amenable to mechanical breakdown. The soft mouthparts of the dugong are highly modified so that the entire oral cavity functions to crush low fibre seagrasses. Thus, the dugong has developed an efficient method of food ingestion and mastication that is suited to processing large quantities of soft seagrass during short dive times. The potential cost to the dugong in having lost its hard dental surfaces is that it has become restricted to a low fibre diet.

The wealth effect of housing on aggregate consumption

This study Measures the effect of changes in net housing and financial wealth oil household consumption using Australian data over the period Q2:1988-Q1:2003. It is found a permanent one dollar rise in housing wealth leads to a six cent increase in consumption, three times the effect of financial wealth. The result speaks strongly against the notion of assets fungibility.. and Suggests that a sharp movement in house prices is potentially more disruptive than a corresponding movement ill financial asset prices.

Do predators aggregate in response to pest density in agroecosystems? Assessing within-field spatial patterns

1. The spatial heterogeneity of predator populations is an important component of ecological theories pertaining to predator-prey dynamics. Most studies within agricultural fields show spatial correlation (positive or negative) between mean predator numbers and prey abundance across a whole field over time but generally ignore the within-field spatial dimension. We used explicit spatial mapping to determine if generalist predators aggregated within a soybean field, the size of these aggregations and if predator aggregation was associated with pest aggregation, plant damage and predation rate. 2. The study was conducted at Gatton in the Lockyer Valley, 90 km west of Brisbane, Australia. Intensive sampling grids were used to investigate within-field spatial patterns. The first row of each grid was located in a lucerne field (10 m from interface) and the remaining rows were in an adjacent soybean field. At each point on the grid the abundance of foliage-dwelling and ground-dwelling pests and predators was measured, predation rates [using sentinel Helicoverpa armigera (Hubner) egg cards] and plant damage were estimated. Eight grids were sampled across two summer cropping seasons (2000/01, 2001/02). 3. Predators exhibited strong spatial patterning with regions of high and low abundance and activity within what are considered to be uniform soybean fields. Ground-dwelling and foliage-dwelling predators were often aggregated in patches approximately 40 m across. 4. Lycosidae (wolf spiders) displayed aggregation and were consistently more abundant within the lucerne, with a decreasing trap catch with distance from the lucrene/soybean interface. This trend was consistent between subsequent grids in a single field and between fields. 5. The large amount of spatial variability in within-field arthropod abundance (pests and predators) and activity (egg predation and plant damage) indicates that whole field averages were misleading. This result has serious implications for sampling of arthropod abundance and pest management decision-making based on scouting data. 6. There was a great deal of temporal change in the significant spatial patterns observed within a field at each sampling time point during a single season. Predator and pest aggregations observed in these fields were generally not stable for the entire season. 7. Predator aggregation did not correlate consistently with pest aggregation, plant damage or predation rate. Spatial patterns in predator abundance were not associated consistently with any single parameter measured. The most consistent positive association was between foliage-dwelling predators and pests (significant in four of seven grids). Inferring associations between predators and prey based on an intensive one-off sampling grid is difficult, due to the temporal variability in the abundance of each group. 8. Synthesis and applications. This study demonstrated that generalist predator populations are rarely distributed randomly and field edges and adjacent crops can have an influence on within-field predator abundance. This must be considered when estimating arthropod (pest and predator) abundance from a set of samples taken at random locations within a field.

Predicting structural disruption of proteins caused by crossover

We present a machine learning model that predicts a structural disruption score from a protein’s primary structure. SCHEMA was introduced by Frances Arnold and colleagues as a method for determining putative recombination sites of a protein on the basis of the full (PDB) description of its structure. The present method provides an alternative to SCHEMA that is able to determine the same score from sequence data only. Circumventing the need for resolving the full structure enables the exploration of yet unresolved and even hypothetical sequences for protein design efforts. Deriving the SCHEMA score from a primary structure is achieved using a two step approach: first predicting a secondary structure from the sequence and then predicting the SCHEMA score from the predicted secondary structure. The correlation coefficient for the prediction is 0.88 and indicates the feasibility of replacing SCHEMA with little loss of precision. ©2005 IEEE

Sleep disruption and domestic violence: exploring the interconnections between mothers and children

This paper argues that sleep disruption is both a strategy and an effect of violence and abuse which profoundly affects the lives of women and children. This paper traces the interconnections between the patterns of sleeping (not sleeping) for women and children living with and recovering from the effects of violence and abuse. It highlights the threat to the emotional and physical well-being of children and women and provides a non-pathologizing route into an exploration of one of the symptoms of trauma. It is based on a pilot study which interviewed 17 women, 14 of whom were mothers to 28 children. Mothers reported that many of their children experienced nightmares, bed-wetting, night panics and disrupted sleep patterns. Recovery of the ability to sleep was often slow and uneven with interactive effects between women and children slowing progress.

On the use of likert-type scales in multilevel data:Influence on aggregate variables

In multilevel analyses, problems may arise when using Likert-type scales at the lowest level of analysis. Specifically, increases in variance should lead to greater censoring for the groups whose true scores fall at either end of the distribution. The current study used simulation methods to examine the influence of single-item Likert-type scale usage on ICC(1), ICC(2), and group-level correlations. Results revealed substantial underestimation of ICC(1) when using Likert-type scales with common response formats (e.g., 5 points). ICC(2) and group-level correlations were also underestimated, but to a lesser extent. Finally, the magnitude of underestimation was driven in large part to an interaction between Likert-type scale usage and the amounts of within- and between-group variance. © Sage Publications.

Time series analysis in the assessment of ICT impact at the aggregate level – lessons and implications for the new economy

The major role of information and communication technology (ICT) in the new economy is well documented: countries worldwide are pouring resources into their ICT infrastructure despite the widely acknowledged “productivity paradox”. Evaluating the contribution of ICT investments has become an elusive but important goal of IS researchers and economists. But this area of research is fraught with complexity and we have used Solow's Residual together with time-series analysis tools to overcome some methodological inadequacies of previous studies. Using this approach, we conduct a study of 20 countries to determine if there was empirical evidence to support claims that ICT investments are worthwhile. The results show that ICT contributes to economic growth in many developed countries and newly industrialized economies (NIEs), but not in developing countries. We finally suggest ICT-complementary factors, in an attempt to rectify possible flaws in ICT policies as a contribution towards improvement in global productivity.

When promoting positive feelings pays:Aggregate job satisfaction, work design features, and innovation in manufacturing organizations

This study investigates the relationship between aggregate job satisfaction and organizational innovation. In a sample of manufacturing companies, data were gathered from 3717 employees in 28 UK manufacturing organizations about their job satisfaction and aggregated to the organizational level. Data on innovation in technology/processes were gathered from multiple respondents in the same organizations 24 months later. The results revealed that aggregate job satisfaction was a significant predictor of subsequent organizational innovation, even after controlling for prior organizational innovation and profitability. Moreover the data indicated that the relationship between aggregate job satisfaction and innovation in production technology/processes was moderated by two factors: job variety and a commitment to "single status". Unlike previous studies, we conceptualize job satisfaction at the aggregate rather than the individual level and examine innovation rather than creativity. We propose that where the majority of employees experience job satisfaction, they will endorse rather than resist innovation and work collaboratively to implement as well as to generate creative ideas.