Individual, social, and physical environment factors associated with electronic media use among children : sedentary behavior at home

Background: Individual, home social and physical environment correlates of electronic media (EM) use among children were examined and pattern of differences on school and weekend days.
Methods: Youth (n = 298) aged 11 to 12 years self-reported time spent using EM (TV, video/DVD, computer use, and electronic games) on a typical school and a weekend day, each dichotomized at the median to indicate heavy and light EM users. Anthropometric measurements were taken. Logistic regression examined correlates of EM use.
Results: In total, 87% of participants exceeded electronic media use recommendations of ≤ 2 hrs/day. Watching TV during breakfast (OR = 3.17) and after school (OR = 2.07), watching TV with mother (OR = 1.96), no rule(s) limiting time for computer game usage (OR = 2.30), having multiple (OR = 2.99) EM devices in the bedroom and BMI (OR = 1.15) were associated with higher odds of being heavy EM user on a school day. Boys (OR = 2.35) and participants who usually watched TV at midday (OR = 2.91) and late at night (OR = 2.04) had higher odds of being a heavy EM user on the weekend.
Conclusions: Efforts to modify children’s EM use should focus on a mix of intervention strategies that address patterns and reinforcement of TV viewing, household rules limiting screen time, and the presence of EM devices in the child’s bedroom.

I would like to change the world, but they wouldn't let me have the source code

In this paper we present the findings of a group problem-solving task involving eight randomly selected students. The focus of this study was to identify and explore students' application of generic skills, cross-disciplinary knowledge and skills, innovative thinking and engineering disciplinary knowledge. While this was the main aim of this study, we also used the findings of this study to triangulate the findings of a broader study which aims to identify and explore students' perceptions of problem based learning (PBL) in first year electrical engineering. The broader qualitative study of learners in a problem based engineering context will identify, explore and report on the factors that influence student learning behaviours and their attitudes as future engineers. Studying the learning cultures from the students' view point in a diverse student group should provide evidence to further theorize about the models of self-regulation in autonomous learners. For this group problem solving activity, we designed a problem (advanced lift controller system) and allowed students one hour to work on a solution for this problem. The eight students from a number of actual PBL groups were divided into two groups depending upon their availability. Both groups were given the same problem. The researcher played the role of a facilitator and collected the data simultaneously. Students were given access to books relevant to the problem, computer access and access to the Internet. They were also provided with links to sample websites such as the University's electronic library and other technology related websites on the World Wide Web. The activity was designed such that students were not required to arrive at a definite outcome. However, they were asked to brainstorm ideas, and as a group, to decide on ways that they would obtain and share information and to formulate and suggest possible innovative solutions to the problem. Data for this activity was collected by means of observation. The activity was audio and video recorded in order to help revisit the data at any stage. At the time this study was conducted, students had completed two PBL units in their first year of an electronic and electrical engineering undergraduate degree course. This study also provided insight into students' attitudes and their behaviours towards learning in a group setting, learning approaches and outcomes, different responses to the heterogeneity of the students in the group, and their responsibility and accountability in an autonomous learning setting such as PBL.

Detection of setting and subject information in documentary video

Interpretation of video information is a difficult task for computer vision and machine intelligence. In this paper we examine the utility of a non-image based source of information about video contents, namely the shot list, and study its use in aiding image interpretation. We show how the shot list may be analysed to produce a simple summary of the 'who and where' of a documentary or interview video. In order to detect the subject of a video we use the notion of a 'shot syntax' of a particular genre to isolate actual interview sections.

Preschoolers' physical activity, screen time, and compliance with recommendations

Purpose: Little evidence exists about the prevalence of adequate levels of physical activity and of appropriate screen-based entertainment in preschool children. Previous studies have generally relied on small samples. This study investigates how much time preschool children spend being physically active and engaged in screen-based entertainment. The study also reports compliance with the recently released Australian recommendations for physical activity (>=3 h·d-1) and screen entertainment (<=1 h·d-1) and the National Association for Sport and Physical Education physical activity guidelines (>=2 h·d-1) and American Academy of Pediatrics screen-based entertainment recommendations (<=2 h·d-1) in a large sample of preschool children.

Methods: Participants were 1004 Melbourne preschool children (mean age = 4.5 yr, range = 3–5 yr) and their families in the Healthy Active Preschool Years study. Physical activity data were collected by accelerometry during an 8-d period. Parents reported their child’s television/video/DVD viewing, computer/Internet, and electronic game use during a typical week. A total of 703 (70%) had sufficient accelerometry data, and 935 children (93%) had useable data on time spent in screen-based entertainment.

Results: Children spent 16% (approximately 127 min·d-1) of their time being physically active. Boys and younger children were more active than were girls and older children, respectively. Children spent an average of 113 min·d-1 in screen-based entertainment. Virtually no children (<1%) met both the Australian recommendations and 32% met both the National Association for Sport and Physical Education and American Academy of Pediatrics recommendations.

Conclusions: The majority of young children are not participating in adequate amounts of physical activity and in excessive amounts of screen-based entertainment. It is likely that physical activity may decline and that screen-based entertainment may increase with age. Compliance with recommendations may be further reduced. Strategies to promote physical activity and reduce screen-based entertainment in young children are required.

Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

Identification of unnatural control chart patterns (CCPs) from manufacturing process measurements is a critical task in quality control as these patterns indicate that the manufacturing process is out-of-control. Recently, there have been numerous efforts in developing pattern recognition and classification methods based on artificial neural network to automatically recognize unnatural patterns. Most of them assume that a single type of unnatural pattern exists in process data. Due to this restrictive assumption, severe performance degradations are observed in these methods when unnatural concurrent CCPs present in process data. To address this problem, this paper proposes a novel approach based on singular spectrum analysis (SSA) and learning vector quantization network to identify concurrent CCPs. The main advantage of the proposed method is that it can be applied to the identification of concurrent CCPs in univariate manufacturing processes. Moreover, there are no permutation and scaling ambiguities in the CCPs recovered by the SSA. These desirable features make the proposed algorithm an attractive alternative for the identification of concurrent CCPs. Computer simulations and a real application for aluminium smelting processes confirm the superior performance of proposed algorithm for sets of typical concurrent CCPs.

Synthesis of 2-(selenophen-2-yl) pyrroles and their electropolymerization to electrochromic nanofilms

The divergent syntheses of 2-(selenophen-2-yl)pyrroles and their N-vinyl derivatives from available 2-acylselenophenes and acetylenes in a one-pot procedure make these exotic heterocyclic ensembles accessible. Now we face a potentially vast area for exploration with a great diversity of far-reaching consequences including conducting electrochromic polymers with repeating of pyrrole and selenophene units (emerging rivalry for polypyrroles and polyselenophenes), the synthesis of functionalized pyrrole–selenophene assembles for advanced materials, biochemistry and medicine, exciting models for theory of polymer conductivity.

Towards a sustainable assessment strategy for digital forensic education and training

In this paper, we show the development and application of a sustainable assessment strategy as an implementation of effective learning for a computer crime and digital forensics unit. The unit is undertaken by undergraduate students as part of an Information Technology Security course at Deakin University. Over a five year period the teaching team has made continuous improvements to the delivery of material and content taking informal student feedback and Faculty review into careful consideration. In addition formal student evaluation of the unit has been extremely positive. As part of reflective teaching practice the teaching team derived a map of the relationship between learning objectives, learning activities, the assessment and the unit outcomes to verify what has led to the favorable student experience and its impact on learning process in order to repeat this strategy for other tertiary courses.

What helps children to be more active and less sedentary? Perceptions of mothers living in disadvantaged neighbourhoods

Background Increasing children's participation in physical activity and decreasing time spent in sedentary behaviours is of great importance to public health. Despite living in disadvantaged neighbourhoods, some children manage to engage in health-promoting physical activity and avoid high levels of screen-based activities (i.e. watching TV, computer use and playing electronic games). Understanding how these children manage to do well and whether there are unique features of their home or neighbourhood that explain their success is important for informing strategies targeting less active and more sedentary children. The aim of this qualitative study was to gain in-depth insights from mothers regarding their child's resilience to low physical activity and high screen-time.

Methods Semi-structured face-to-face interviews were conducted with 38 mothers of children who lived in disadvantaged neighbourhoods in urban and rural areas of Victoria, Australia. The interviews were designed to gain in-depth insights about perceived individual, social and physical environmental factors influencing resilience to low physical activity and high screen-time.

Results Themes relating to physical activity that emerged from the interviews included: parental encouragement, support and modelling; sports culture in a rural town; the physical home and neighbourhood environment; child's individual personality; and dog ownership. Themes relating to screen-time behaviours encompassed: parental control; and child's individual preferences.

Conclusions The results offer important insights into potential avenues for developing ‘resilience’ and increasing physical activity and reducing screen-time among children living in disadvantaged neighbourhoods. In light of the negative effects of low physical activity and high levels of screen-time on children's health, this evidence is urgently needed.

Hub-based reliable gene expression algorithm to classify ER+ and ER- breast cancer subtypes

Identifying gene signatures that are associatedwith the estrogen receptor based breast cancer samples is achallenging problem that has significant implications in breastcancer diagnosis and treatment. Various existing approaches foridentifying gene signatures have been developed but are not ableto achieve the satisfactory results because of their severallimitations. Subnetwork-based approaches have shown to be arobust classification method that uses interaction datasets suchas protein-protein interaction datasets. It has been reported thatthese interaction datasets contain many irrelevant interactionsthat have no biological meaning associated with them, and thusit is essential to filter out those interactions which can improvethe classification results. In this paper, we therefore, proposed ahub-based reliable gene expression algorithm (HRGE) thateffectively extracts the significant biologically-relevantinteractions and uses hub-gene topology to generate thesubnetwork based gene signatures for ER+ and ER- breastcancer subtypes. The proposed approach shows the superiorclassification accuracy amongst the other existing classifiers, inthe validation dataset.

Using feature selection and classification scheme for automating phishing email detection

Email has become the critical communication medium for most organizations. Unfortunately, email-born attacks in computer networks are causing considerable economic losses worldwide. Exiting phishing email blocking appliances have little effect in weeding out the vast majority of phishing emails. At the same time, online criminals are becoming more dangerous and sophisticated. Phishing emails are more active than ever before and putting the average computer user and organizations at risk of significant data, brand and financial loss. In this paper, we propose a hybrid feature selection approach based combination of content-based and behaviour-based. The approach could mine the attacker behaviour based on email header. On a publicly available test corpus, our hybrid features selection is able to achieve 94% accuracy rate.

Environmental sustainability awareness and academic curriculum improvements: the case of a business and law faculty in an Australian university

Climate change, global warming, rising sea levels, ice cap melting, carbon taxes and trading schemes etc. are all major environmental issues that confront the modern world. Universities are now trying to ensure that their students graduate with an understanding of environmental sustainability regardless of their field of expertise. 

More yuppy stuff coming soon: gentrification, cultural policy, social inclusion and the arts

Responding to gentrification has become a key planning issue for many urban municipalities. Local governments need to balance the often-competing agendas of urban regeneration, social inclusion and arts access and participation. This paper argues that arts and cultural units within local government bear the impact of such tensions. More importantly, however, local government policies and their implementation represent a third position in the polarised discussion on the cultural impact of gentrification. The example discussed here is the rapidly gentrifying City of Maribyrnong in Melbourne’s western suburbs: a municipality where any potential realisation of the economic benefits of gentrification is balanced against the needs of a significant population of resident professional artists, and the social inclusion needs of socio-economically disadvantaged residents. Maribyrnong’s arts and cultural unit, like those within many municipalities in the developed world, has had to develop cultural policies and plans as tools for negotiating complex relationships and diverse needs of community members by considering the economic, social and cultural benefits of the arts for all residents.

Geolocator studies on Ruddy Turnstones Arenaria interpres and Greater Sandplovers Charadrius leschenaultii in the East Asian-Australasia Flyway reveal widely different migration strategies

In 2010, following successful trials with geolocators on Ruddy Turnstones in 2009, a total of 105 units, of four different models, were deployed at five locations on Ruddy Turnstones and Greater Sandplovers. Geolocator retrieval rates were 44% on Ruddy Turnstone and 27% on Greater Sandplover. Complete (59%) and partial (15%) technical failure rates on geolocators were high and were mostly the result of wear and saltwater corrosion. All 30 units from the Swiss Ornithological Institute failed. Only half of the Mk10 and Mk12 units from the British Antarctic Survey produced full migration histories. The northward migration of Ruddy Turnstones was on a narrow path with many birds completing an initial non-stop flight of 7,600 km to Taiwan. Later, most made a stopover in the Yellow Sea. Median migration duration was 39.5 days and average migration speed of the first major leg of the journey (assuming the birds followed the great circle route between stopovers) was 63.4 kph. Southward migration paths showed a much wider spread, ranging from Mongolia to the central Pacific. The latter involved the same bird that had been tracked along this route the previous year. It has now been logged on similar 27,000 km round trips in two successive years. The median duration of southward migration (78 days) was nearly twice that of northward migration and data on average migration speed for just two migration legs indicated that it might be lower, 30 and 40 kph being the values recorded. Greater Sandplovers were only tracked on northward migration but seemed to follow a similar migration strategy with a large initial non-stop flight followed by shorter flights and more regular stopovers. Plans are outlined for further analyses and future deployments of geolocators.

Effects of type reduction algorithms on forecasting accuracy of IT2FLS models

Type reduction (TR) is one of the key components of interval type-2 fuzzy logic systems (IT2FLSs). Minimizing the computational requirements has been one of the key design criteria for developing TR algorithms. Often researchers give more rewards to computationally less expensive TR algorithms. This paper evaluates and compares five frequently used TR algorithms based on their contribution to the forecasting performance of IT2FLS models. Algorithms are judged based on the generalization power of IT2FLS models developed using them. Synthetic and real world case studies with different levels of uncertainty are considered to examine effects of TR algorithms on forecasts' accuracies. As per obtained results, Coupland-Jonh TR algorithm leads to models with a higher and more stable forecasting performance. However, there is no obvious and consistent relationship between the widths of the type reduced set and the TR algorithm. © 2013 Elsevier B.V.