110 resultados para congestion syndrome


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This innovative collective case study research documented teachers' experiences of teaching children with Down syndrome in the early years of schooling in Australia. Results indicated differences in teachers' conceptualisation of children with Down syndrome as learners and how these variations impacted the way the child was included within the class. Unique to this research was the utilisation of a mind-mapping technique of data collection which effectively captured the individual nature of teachers' experiences, making implicit knowledge explicit through description and interpretation of these experiences. Overall findings indicated that teachers were more likely to include children with Down syndrome into general education classrooms if they operated within a contemporary understanding of disability, had positive support from key stakeholders such as school principals and parents/caregivers, and had access to current information on Down syndrome from professional bodies.

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Numerous initiatives have been employed around the world in order to address rising greenhouse gas (GHG) emissions originating from the transport sector. These measures include: travel demand management (congestion‐charging), increased fuel taxes, alternative fuel subsidies and low‐emission vehicle (LEV) rebates. Incentivizing the purchase of LEVs has been one of the more prevalent approaches in attempting to tackle this global issue. LEVs, whilst having the advantage of lower emissions and, in some cases, more efficient fuel consumption, also bring the downsides of increased purchase cost, reduced convenience of vehicle fuelling, and operational uncertainty. To stimulate demand in the face of these challenges, various incentive‐based policies, such as toll exemptions, have been used by national and local governments to encourage the purchase of these types of vehicles. In order to address rising GHG emissions in Stockholm, and in line with the Swedish Government’s ambition to operate a fossil free fleet by 2030, a number of policies were implemented targeting the transport sector. Foremost amongst these was the combination of a congestion charge – initiated to discourage emissions‐intensive travel – and an exemption from this charge for some LEVs, established to encourage a transition towards a ‘green’ vehicle fleet. Although both policies shared the aim of reducing GHG emissions, the exemption for LEVs carried the risk of diminishing the effectiveness of the congestion charging scheme. As the number of vehicle owners choosing to transition to an eligible LEV increased, the congestion‐reduction effectiveness of the charging scheme weakened. In fact, policy makers quickly recognized this potential issue and consequently phased out the LEV exemption less than 18 months after its introduction (1). Several studies have investigated the demand for LEVs through stated‐preference (SP) surveys across multiple countries, including: Denmark (2), Germany (3, 4), UK (5), Canada (6), USA (7, 8) and Australia (9). Although each of these studies differed in approach, all involved SP surveys where differing characteristics between various types of vehicles, including LEVs, were presented to respondents and these respondents in turn made hypothetical decisions about which vehicle they would be most likely to purchase. Although these studies revealed a number of interesting findings in regards to the potential demand for LEVs, they relied on SP data. In contrast, this paper employs an approach where LEV choice is modelled by taking a retrospective view and by using revealed preference (RP) data. By examining the revealed preferences of vehicle owners in Stockholm, this study overcomes one of the principal limitations of SP data, namely that stated preferences may not in fact reflect individuals’ actual choices, such as when cost, time, and inconvenience factors are real rather than hypothetical. This paper’s RP approach involves modelling the characteristics of individuals who purchased new LEVs, whilst estimating the effect of the congestion charging exemption upon choice probabilities and subsequent aggregate demand. The paper contributes to the current literature by examining the effectiveness of a toll exemption under revealed preference conditions, and by assessing the total effect of the policy based on key indicators for policy makers, including: vehicle owner home location, commuting patterns, number of children, age, gender and income. Extended Abstract Submission for Kuhmo Nectar Conference 2014 2 The two main research questions motivating this study were:  Which individuals chose to purchase a new LEV in Stockholm in 2008?; and,  How did the congestion charging exemption affect the aggregate demand for new LEVs in Stockholm in 2008? In order to answer these research questions the analysis was split into two stages. Firstly, a multinomial logit (MNL) model was used to identify which demographic characteristics were most significantly related to the purchase of an LEV over a conventional vehicle. The three most significant variables were found to be: intra‐cordon residency (positive); commuting across the cordon (positive); and distance of residence from the cordon (negative). In order to estimate the effect of the exemption policy on vehicle purchase choice, the model included variables to control for geographic differences in preferences, based on the location of the vehicle owners’ homes and workplaces in relation to the congestion‐charging cordon boundary. These variables included one indicator representing commutes across the cordon and another indicator representing intra‐cordon residency. The effect of the exemption policy on the probability of purchasing LEVs was estimated in the second stage of the analysis by focusing on the groups of vehicle owners that were most likely to have been affected by the policy i.e. those commuting across the cordon boundary (in both directions). Given the inclusion of the indicator variable representing commutes across the cordon, it is assumed that the estimated coefficient of this variable captures the effect of the exemption policy on the utility of choosing to purchase an exempt LEV for these two groups of vehicle owners. The intra‐cordon residency indicator variable also controls for differences between the two groups, based upon direction of travel across the cordon boundary. A counter‐hypothesis to this assumption is that the coefficient of the variable representing commuting across the cordon boundary instead only captures geo‐demographic differences that lead to variations in LEV ownership across the different groups of vehicle owners in relation to the cordon boundary. In order to address this counter‐hypothesis, an additional analysis was performed on data from a city with a similar geodemographic pattern to Stockholm, Gothenburg ‐ Sweden’s second largest city. The results of this analysis provided evidence to support the argument that the coefficient of the variable representing commutes across the cordon was capturing the effect of the exemption policy. Based upon this framework, the predicted vehicle type shares were calculated using the estimated coefficients of the MNL model and compared with predicted vehicle type shares from a simulated scenario where the exemption policy was inactive. This simulated scenario was constructed by setting the coefficient for the variable representing commutes across the cordon boundary to zero for all observations to remove the utility benefit of the exemption policy. Overall, the procedure of this second stage of the analysis led to results showing that the exemption had a substantial effect upon the probability of purchasing and aggregate demand for exempt LEVs in Stockholm during 2008. By making use of unique evidence of revealed preferences of LEV owners, this study identifies the common characteristics of new LEV owners and estimates the effect of Stockholm's congestion charging exemption upon the demand for new LEVs during 2008. It was found that the variables that had the greatest effect upon the choice of purchasing an exempt LEV included intra‐cordon residency (positive), distance of home from the cordon (negative), and commuting across the cordon (positive). It was also determined that owners under the age of 30 years preferred non‐exempt LEVs (low CO2 LEVs), whilst those over the age of 30 years preferred electric vehicles. In terms of electric vehicles, it was apparent that those individuals living within the city had the highest propensity towards purchasing this vehicle type. A negative relationship between choosing an electric vehicle and the distance of an individuals’ residency from the cordon was also evident. Overall, the congestion charging exemption was found to have increased the share of exempt LEVs in Stockholm by 1.9%, with, as expected, a much stronger effect on those commuting across the boundary, with those living inside the cordon having a 13.1% increase, and those owners living outside the cordon having a 5.0% increase. This increase in demand corresponded to an additional 538 (+/‐ 93; 95% C.I.) new exempt LEVs purchased in Stockholm during 2008 (out of a total of 5 427; 9.9%). Policy makers can take note that an incentive‐based policy can increase the demand for LEVs and appears to be an appropriate approach to adopt when attempting to reduce transport emissions through encouraging a transition towards a ‘green’ vehicle fleet.

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The main purpose of the current study was to provide empirical evidence to support or refute assumptions of phenotypic deficits in motivation for children with Down syndrome. Children with moderate intellectual disability associated with etiologies other than Down syndrome were recruited in an extension of a previous study that involved children with Down syndrome and typically developing children. The participants were 29 children with moderate intellectual disability and 33 children with Down syndrome who were matched on mental age to 33 typically developing children, aged 3 to 8 years. Mastery motivation was assessed on task measures of curiosity, preference for challenge, and persistence, as well as parental reports. There were no significant group differences on the mastery motivation tasks. Parental ratings of mastery motivation differed, with typically developing children generally being rated more highly than each of the disability groups. The view that motivational deficits are part of the Down syndrome behavioural phenotype was not supported.

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Hemorrhagic fever with renal syndrome (HFRS), a rodent-borne viral disease characterized by fever, hemorrhagic, kidney damage and hypotension, is caused by different species of hantaviruses [1]. Every year, HFRS affects thousands of people in Asia, and more than 90% of these cases are reported in China [2, 3]. Due to its high fatality, HFRS has attracted considerable research attention, and prior studies have predominantly focused on quantifying HFRS morbidity [4], identifying high risk areas [5] and populations [6], or exploring peak time of HFRS occurrence [3]. To date, no study has assessed the seasonal amplitude of HFRS in China, even though it reveals the seasonal fluctuation and thus may provide pivotal information on the possibility of HFRS outbreaks.

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Recurrent congestion caused by high commuter traffic is an irritation to motorway users. Ramp metering (RM) is the most effective motorway control means (M Papageorgiou & Kotsialos, 2002) for significantly reducing motorway congestion. However, given field constraints (e.g. limited ramp space and maximum ramp waiting time), RM cannot eliminate recurrent congestion during the increased long peak hours. This paper, therefore, focuses on rapid congestion recovery to further improve RM systems: that is, to quickly clear congestion in recovery periods. The feasibility of using RM for recovery is analyzed, and a zone recovery strategy (ZRS) for RM is proposed. Note that this study assumes no incident and demand management involved, i.e. no re-routing behavior and strategy considered. This strategy is modeled, calibrated and tested in the northbound model of the Pacific Motorway, Brisbane, Australia in a micro-simulation environment for recurrent congestion scenario, and evaluation results have justified its effectiveness.

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There appears to be a general acceptance that individuals with intellectual disability (ID) have deficits in motivation. Yet research with infants and young children has usually identified few differences in motivation for children with ID compared with those of the same mental age who are developing typically. Studies of motivation in children with ID in the middle years of childhood or adolescence are almost non-existent. However, research conducted more than 30 years ago (Harter & Zigler, 1974) continues to be cited as evidence of motivational deficits in those with ID even though the life experiences of people with ID have changed dramatically since that time.

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This project investigates the current borders around and within, what I have in this exegesis termed, "the Down Syndrome novel", using a close reading analysis of literary texts containing characters with Down syndrome and contextualised by theoretical works drawn from both disability and literary theory. This practice-led thesis introduces and discusses select fictional characters with Down syndrome from numerous genres, revealing them as highly contained, or "boundaried", spoken for, and generally used for narrative conflict rather than included as individuals with agency and a legitimate, autonomous voice and narrative point of view. In reframing the Australian landscape as "disabled" this exegesis illustrates that the Australian Gothic novel can shift, and sometimes even remove, the boundary around characters with intellectual disabilities, allowing a space where the stories of characters with Down syndrome can emerge.

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Objectives: The co-occurrence of anger in young people with Asperger's syndrome (AS) has received little attention despite aggression, agitation, and tantrums frequently being identified as issues of concern in this population. The present study investigated the occurrence of anger in young people with AS and explores its relationship with anxiety and depression. Method: Sixty-two young people (12-23 years old) diagnosed with AS were assessed using the Beck Anger Inventory for Youth, Spence Children's Anxiety Scale, and Reynolds Adolescent Depression Scale. Results: Among young people with AS who participated in this study, 41% of participants reported clinically significant levels of anger (17%), anxiety (25.8%) and/or depression (11.5%). Anger, anxiety, and depression were positively correlated with each other. Depression, however, was the only significant predictor of anger. Conclusion: Anger is commonly experienced by young people with AS and is correlated with anxiety and depression. These findings suggest that the emotional and behavioral presentation of anger could serve as a cue for further assessment, and facilitate earlier identification and intervention for anger, as well as other mental health problems.