Parenting, family functioning and lifestyle in a new culture : the case of African migrants in Melbourne, Victoria, Australia

This study documented the parenting styles among African migrants now living in Melbourne, Victoria, Australia, and assessed how intergenerational issues related to parenting in a new culture impact on family functioning and the modification of lifestyles. A total of 10 focus group discussions (five with parents and five with 13–17-year-old children; N = 85 participants) of 1.5–2 hours duration were conducted with Sudanese, Somali and Ethiopian migrant families. The analysis identified three discrete themes: (i) parenting-related issues; (ii) family functioning and family relations; and (iii) lifestyle changes and health. African migrant parents were restrictive in their parenting; controlled children's behaviours and social development through strict boundary-setting and close monitoring of interests, activities, and friends; and adopted a hierarchical approach to decision-making while discouraging autonomy among their offspring. Programmes seeking to improve the health and welfare of African migrants in their host countries need to accommodate the cultural and social dimensions that shape their lives. Such programmes may need to be so broad as to apply an acculturation lens to planning, and to assist young people, parents and families in addressing intergenerational issues related to raising children and growing up in a different social and cultural milieu.

Parenting, family functioning and lifestyle in a new culture : the case of African migrants in Melbourne, Victoria, Australia

This study documented the parenting styles among African migrants now living in Melbourne, Victoria, Australia, and assessed how intergenerational issues related to parenting in a new culture impact on family functioning and the modification of lifestyles. A total of 10 focus group discussions (five with parents and five with 13–17-year-old children; N = 85 participants) of 1.5–2 hours duration were conducted with Sudanese, Somali and Ethiopian migrant families. The analysis identified three discrete themes: (i) parenting-related issues; (ii) family functioning and family relations; and (iii) lifestyle changes and health. African migrant parents were restrictive in their parenting; controlled children's behaviours and social development through strict boundary-setting and close monitoring of interests, activities, and friends; and adopted a hierarchical approach to decision-making while discouraging autonomy among their offspring. Programmes seeking to improve the health and welfare of African migrants in their host countries need to accommodate the cultural and social dimensions that shape their lives. Such programmes may need to be so broad as to apply an acculturation lens to planning, and to assist young people, parents and families in addressing intergenerational issues related to raising children and growing up in a different social and cultural milieu.

Automatic rule induction in Arabic to English machine translation framework

This chapter addresses the exploitation of a supervised machine learning technique to automatically induce Arabic-to-English transfer rules from chunks of parallel aligned linguistic resources. The induced structural transfer rules encode the linguistic translation knowledge for converting an Arabic syntactic structure into a target English syntactic structure. These rules are going to be an integral part of an Arabic-English transfer-based machine translation. Nevertheless, a novel morphological rule induction method is employed for learning Arabic morphological rules that are applied in our Arabic morphological analyzer. To demonstrate the capability of the automated rule induction technique, we conducted rule-based translation experiments that use induced rules from a relatively small data set. The translation quality of the hybrid translation experiments achieved good results in terms of WER.

Focused ion beam milling of carbon nanotube yarns and bucky-papers : correlating their internal structure with their macro-properties

Focused ion beam (FIB) milling through carbon nanotube (CNT) yarns and bucky-papers followed by scanning electron microscopy has recently emerged as a powerful tool for eliciting details of their internal structure. The internal arrangement of CNTs in bucky-papers and yarns directly affects their performance and characteristics. Consequently this information is critical for further optimisation of these structures and to tailor their properties for specific applications. This chapter describes in detail FIB milling of CNT yarns and bucky-papers and gives a range of examples where FIB milling has enabled a better understanding of how processing conditions and treatments affect the internal structure. Emphasis is placed on how FIB milling elucidates the influence of fabrication conditions on the internal arrangement of CNTs and how this influences the material's macroscopic properties.

Effects of bone-specific physical activity, gender and maturity on tibial cross-sectional bone material distribution; a cross-sectional pQCT comparison of children and young adults aged 5-29 years

Growth is the opportune time to modify bone accrual. While bone adaptation is known to be dependent on local loading and consequent deformations (strain) of bone, little is known about the effects of sex, and bone-specific physical activity on location-specific cross-sectional bone geometry during growth. To provide more insight we examined bone traits at different locations around tibial cross sections, and along the tibia between individuals who vary in terms of physical activity exposure, sex, and pubertal status. Data from 304 individuals aged 5-29 years (172 male, 132 female) were examined. Peripheral quantitative computed tomography (pQCT) was applied at 4%, 14%, 38%, and 66% of tibial length. Maturity was established by estimating age at peak height velocity (APHV). Loading history was quantified with the bone-specific physical activity questionnaire (BPAQ). Comparisons, adjusted for height, weight and age were made between sex, maturity, and BPAQ tertile groups. Few to no differences were observed between sexes or BPAQ tertiles prior to APHV, whereas marked sexual dimorphism and differences between BPAQ tertiles were observed after APHV. Cross-sectional location-specific differences between BPAQ tertiles were not evident prior to APHV, whereas clear location-specificity was observed after APHV. In conclusion, the skeletal benefits of physical activity are location-specific in the tibia. The present results indicate that the peri- or post-pubertal period is likely a more favourable window of opportunity for enhancing cross-sectional bone geometry than pre puberty. Increased loading during the peri-pubertal period may enhance the bone of both sexes.

Affective, linguistic and topic patterns in online autism communities

Online communities offer a platform to support and discuss health issues. They provide a more accessible way to bring people of the same concerns or interests. This paper aims to study the characteristics of online autism communities (called Clinical) in comparison with other online communities (called Control) using data from 110 Live Journal weblog communities. Using machine learning techniques, we comprehensively analyze these online autism communities. We study three key aspects expressed in the blog posts made by members of the communities: sentiment, topics and language style. Sentiment analysis shows that the sentiment of the clinical group has lower valence, indicative of poorer moods than people in control. Topics and language styles are shown to be good predictors of autism posts. The result shows the potential of social media in medical studies for a broad range of purposes such as screening, monitoring and subsequently providing supports for online communities of individuals with special needs.

Ipoll: Automatic polling using online search

For years, opinion polls rely on data collected through telephone or person-to-person surveys. The process is costly, inconvenient, and slow. Recently online search data has emerged as potential proxies for the survey data. However considerable human involvement is still needed for the selection of search indices, a task that requires knowledge of both the target issue and how search terms are used by the online community. The robustness of such manually selected search indices can be questionable. In this paper, we propose an automatic polling system through a novel application of machine learning. In this system, the needs for examining, comparing, and selecting search indices have been eliminated through automatic generation of candidate search indices and intelligent combination of the indices. The results include a publicly accessible web application that provides real-time, robust, and accurate measurements of public opinions on several subjects of general interest.

Prediction interval estimation for electricity price and demand using support vector machines

Uncertainty is known to be a concomitant factor of almost all the real world commodities such as oil prices, stock prices, sales and demand of products. As a consequence, forecasting problems are becoming more and more challenging and ridden with uncertainty. Such uncertainties are generally quantified by statistical tools such as prediction intervals (Pis). Pis quantify the uncertainty related to forecasts by estimating the ranges of the targeted quantities. Pis generated by traditional neural network based approaches are limited by high computational burden and impractical assumptions about the distribution of the data. A novel technique for constructing high quality Pis using support vector machines (SVMs) is being proposed in this paper. The proposed technique directly estimates the upper and lower bounds of the PI in a short time and without any assumptions about the data distribution. The SVM parameters are tuned using particle swarm optimization technique by minimization of a modified Pi-based objective function. Electricity price and demand data of the Ontario electricity market is used to validate the performance of the proposed technique. Several case studies for different months indicate the superior performance of the proposed method in terms of high quality PI generation and shorter computational times.