Assisting ICU training management with virtual worlds

Conventional training methods for nurses involve many physical factors that place limits on potential class sizes. Alternate training methods with lower physical requirements may support larger class sizes, but given the tactile quality of nurse training, are most appropriately applied to supplement the conventional methods. However, where the importance of physical factors are periphery, such alternate training methods can provide an important way to increase upper class-size limits and therefore the rate of trained nurses entering the important role of critical care. A major issue in ICU training is that the trainee can be released into a real-life intensive care scenario with sub optimal preparation and therefore a level of anxiety for the student concerned, and some risk for the management level nurses, as patient safety is paramount. This lack of preparation places a strain on the allocation of human and non-human resources to teaching, as students require greater levels of supervision. Such issues are a concern to ICU management, as they relate to nursing skill development and patient health outcomes, as nursing training is potentially dangerous for patients who are placed in the care of inexperienced staff. As a solution to this problem, we present a prototype ICU handover training environment that has been developed in a socially interactive virtual world. Nurses in training can connect remotely via the Internet to this environment and engage in collaborative ICU handover training classes.

How to improve pupils' literacy? A cost-effectiveness analysis of a French educational project

The Action Lecture program is an innovative teaching method run in some nursery and primary schools in Paris and designed to improve pupils’ literacy. We report the results of an evaluation of this program. We describe the experimental protocol that was built to estimate the program’s impact on several types of indicators. Data were processed following a Differences-in-Differences (DID) method. Then we use the estimation of the impact on academic achievement to conduct a cost-effectiveness analysis and take a reduction of the class size program as a benchmark. The results are positive for the Action Lecture program.

Apprendre à bien lire : une étude coût efficacité des Actions Lecture

How to Improve Pupils' Literacy? A Cost-Effectiveness Analysis of the Action Lecture This article presents a cost-effectiveness analysis of an innovative teaching method run in some nursery and primary schools in Paris. This project, named Action Lecture, is designed to improve pupils' abilities and taste on literacy. We report the results of an evaluation of this program. We describe the experimental protocol that was built to estimate the program's impact on several types of indicators (academic abilities, attitude toward reading, school life) by comparing the evolution of treatment schools and control schools. Data were processed following a Differences-in-Differences (DID) method. Then we use the estimation of the impact on academic achievement to conduct a cost-effectiveness analysis and take a reduction of the class size program as a benchmark. The results are positive for the Action Lecture program both in terms of impact's evaluation and in terms of cost-effectiveness ratio.

Students with AD/HD-related behaviours : Saudi mainstream teachers' knowledge and attitude towards inclusion

This study investigated Saudi mainstream primary teachers' knowledge of AD/HD and their attitudes towards the inclusion of students with AD/HD-related behaviours. The study also explored the relationships among teachers' attitudes towards inclusion, knowledge of AD/HD, efficacy beliefs for teaching students with behavioural problems, and relevant background factors such as teacher age, training and experience, and class size. In the first phase of the study, more than 200 Saudi teachers completed a four-part self-report questionnaire while in the second, 8 teachers completed semi-structured interviews. Findings from both phases of the study indicated that although teachers' knowledge of AD/HD was somewhat limited, they generally held positive attitudes towards the inclusion of students with AD/HD-related behaviours in regular classrooms. Additional significant influences on teachers' attitudes included class size as well as teachers' training and self-efficacy beliefs.

Applying threshold learning theory to teach sustainable business practice in post-graduate engineering education

This paper presents the results of a qualitative action-research inquiry into how a highly diverse cohort of post-graduate students could develop significant capacity in sustainable development within a single unit (course), in this case a compulsory component of four built environment masters programs. The method comprised applying threshold learning theory within the technical discipline of sustainable development, to transform student understanding of sustainable business practice in the built environment. This involved identifying a number of key threshold concepts, which once learned would provide a pathway to having a transformational learning experience. Curriculum was then revised, to focus on stepping through these targeted concepts using a scaffolded, problem-based-learning approach. Challenges included a large class size of 120 students, a majority of international students, and a wide span of disciplinary backgrounds across the spectrum of built environment professionals. Five ‘key’ threshold learning concepts were identified and the renewed curriculum was piloted in Semester 2 of 2011. The paper presents details of the study and findings from a mixed-method evaluation approach through the semester. The outcomes of this study will be used to inform further review of the course in 2012, including further consideration of the threshold concepts. In future, it is anticipated that this case study will inform a framework for rapidly embedding sustainability within curriculum.

Optimisation of a class of transportation problems using genetic algorithms

This paper presents a Genetic Algorithms (GA) approach to search the optimized path for a class of transportation problems. The formulation of the problems for suitable application of GA will be discussed. Exchanging genetic information in the sense of neighborhoods will be introduced for generation reproduction. The performance of the GA will be evaluated by computer simulation. The proposed algorithm use simple coding with population size 1 converged in reasonable optimality within several minutes.

Body composition and appetite : fat-free mass (but not fat mass or BMI) is positively associated with self-determined meal size and daily energy intake in humans

The idea of body weight regulation implies that a biological mechanism exerts control over energy expenditure and food intake. This is a central tenet of energy homeostasis. However, the source and identity of the controlling mechanism have not been identified, although it is often presumed to be some long-acting signal related to body fat, such as leptin. Using a comprehensive experimental platform, we have investigated the relationship between biological and behavioural variables in two separate studies over a 12-week intervention period in obese adults (total n 92). All variables have been measured objectively and with a similar degree of scientific control and precision, including anthropometric factors, body composition, RMR and accumulative energy consumed at individual meals across the whole day. Results showed that meal size and daily energy intake (EI) were significantly correlated with fat-free mass (FFM, P values ,0·02–0·05) but not with fat mass (FM) or BMI (P values 0·11–0·45) (study 1, n 58). In study 2 (n 34), FFM (but not FM or BMI) predicted meal size and daily EI under two distinct dietary conditions (high-fat and low-fat). These data appear to indicate that, under these circumstances, some signal associated with lean mass (but not FM) exerts a determining effect over self-selected food consumption. This signal may be postulated to interact with a separate class of signals generated by FM. This finding may have implications for investigations of the molecular control of food intake and body weight and for the management of obesity.

Corporate governance and securities class actions

This study investigates the governance attributes of firms that have been subject to securities class actions (SCAs). There has been a recent sizable increase in the number of firms subject to SCAs in Australia. We examine a sample of firms that have been subject to SCAs due to disclosure breaches and match the firms by industry and size to a control sample. First, we examine the compliance culture of the SCA firms via the frequency of Australian Securities Exchange (ASX)queries of the firm and find that the frequency of ASX queries is positively associated with the occurrence of a SCA. Secondly, we provide evidence that SCA firms exhibit weaker levels of corporate governance than the matched control sample. In addition, we contribute to the understanding of firms subject to SCAs and their corporate governance attributes. Our results suggest the presence of a nomination committee may be associated with higher agency costs and that the influence of CEO duality may reduce the effectiveness of a nomination committee.

Improved estimation of size-transition matrices using tag-recapture data

We derive a new method for determining size-transition matrices (STMs) that eliminates probabilities of negative growth and accounts for individual variability. STMs are an important part of size-structured models, which are used in the stock assessment of aquatic species. The elements of STMs represent the probability of growth from one size class to another, given a time step. The growth increment over this time step can be modelled with a variety of methods, but when a population construct is assumed for the underlying growth model, the resulting STM may contain entries that predict negative growth. To solve this problem, we use a maximum likelihood method that incorporates individual variability in the asymptotic length, relative age at tagging, and measurement error to obtain von Bertalanffy growth model parameter estimates. The statistical moments for the future length given an individual's previous length measurement and time at liberty are then derived. We moment match the true conditional distributions with skewed-normal distributions and use these to accurately estimate the elements of the STMs. The method is investigated with simulated tag-recapture data and tag-recapture data gathered from the Australian eastern king prawn (Melicertus plebejus).

On the zeros of the Abelian integrals for a class of Liénard systems

A planar polynomial differential system has a finite number of limit cycles. However, finding the upper bound of the number of limit cycles is an open problem for the general nonlinear dynamical systems. In this paper, we investigated a class of Liénard systems of the form x'=y, y'=f(x)+y g(x) with deg f=5 and deg g=4. We proved that the related elliptic integrals of the Liénard systems have at most three zeros including multiple zeros, which implies that the number of limit cycles bifurcated from the periodic orbits of the unperturbed system is less than or equal to 3.

Time-Dependent Density Functional Molecular Orbital and Excited State Calculations on Bis(porphyrinyl)butadiynes in the Monocationic, Neutral, Monoanionic, and Dianionic Oxidation States

We report a theoretical study of the multiple oxidation states (1+, 0, 1−, and 2−) of a meso,meso-linked diporphyrin, namely bis[10,15,20-triphenylporphyrinatozinc(II)-5-yl]butadiyne (4), using Time-Dependent Density Functional Theory (TDDFT). The origin of electronic transitions of singlet excited states is discussed in comparison to experimental spectra for the corresponding oxidation states of the close analogue bis{10,15,20-tris[3‘,5‘-di-tert-butylphenyl]porphyrinatozinc(II)-5-yl}butadiyne (3). The latter were measured in previous work under in situ spectroelectrochemical conditions. Excitation energies and orbital compositions of the excited states were obtained for these large delocalized aromatic radicals, which are unique examples of organic mixed-valence systems. The radical cations and anions of butadiyne-bridged diporphyrins such as 3 display characteristic electronic absorption bands in the near-IR region, which have been successfully predicted with use of these computational methods. The radicals are clearly of the “fully delocalized” or Class III type. The key spectral features of the neutral and dianionic states were also reproduced, although due to the large size of these molecules, quantitative agreement of energies with observations is not as good in the blue end of the visible region. The TDDFT calculations are largely in accord with a previous empirical model for the spectra, which was based simplistically on one-electron transitions among the eight key frontier orbitals of the C4 (1,4-butadiyne) linked diporphyrins.

Tracking people in 3D using position, size and shape

This paper presents a prototype tracking system for tracking people in enclosed indoor environments where there is a high rate of occlusions. The system uses a stereo camera for acquisition, and is capable of disambiguating occlusions using a combination of depth map analysis, a two step ellipse fitting people detection process, the use of motion models and Kalman filters and a novel fit metric, based on computationally simple object statistics. Testing shows that our fit metric outperforms commonly used position based metrics and histogram based metrics, resulting in more accurate tracking of people.