Cross-sectional analysis of undergraduate nursing students' perceptions of bioscience

Nursing was one of the last health professions to be established in the higher education sector. A lingering challence is the integration of bioscience into nursing curriculum. Research suggests that students perceive bioscience teaching to be difficult thereby contributing to heightened anxiety. It has been proposed that high content volume, lack of secondary school science, and predominance of science lectureres without clinical practice experience, may lead to a bioscience disconnet with curricula. To ascertain the extent of this problem, we undertook a cross-sectional designed study of commencing, second and third year undergraduate nursing students (n=566). They were surveyed about perceptions, knowledge and approaches to bioscience learning. Preliminary analysis revealed similar findings between the three different cohorts. Generally, sudents perceived bioscience subjects to be difficult, more challenging and requiring more study hours than clinical nursing subjects. Interestingly, the perception of difficulty and associated anxieties were found in both commencing and existing students. Moreover, students with secondary school biology combined with another science subject perceived bioscience teaching more favourably compared to those who had studied one secondary school science subject. University coursework needs to embed strategies to minimise anxieties about learning bioscience by using innovative deliveries and scaffolded assessments that target the learner's needs.

FluMum : a prospective cohort study of mother-infant pairs assessing the effectiveness of maternal influenza vaccination in prevention of influenza in early infancy

INTRODUCTION Influenza vaccination in pregnancy is recommended for all women in Australia, particularly those who will be in their second or third trimester during the influenza season. However, there has been no systematic monitoring of influenza vaccine uptake among pregnant women in Australia. Evidence is emerging of benefit to the infant with respect to preventing influenza infection in the first 6 months of life. The FluMum study aims to systematically monitor influenza vaccine uptake during pregnancy in Australia and determine the effectiveness of maternal vaccination in preventing laboratory-confirmed influenza in their offspring up to 6 months of age. METHODS AND ANALYSIS A prospective cohort study of 10 106 mother-infant pairs recruited between 38 weeks gestation and 55 days postdelivery in six Australian capital cities. Detailed maternal and infant information is collected at enrolment, including influenza illness and vaccination history with a follow-up data collection time point at infant age 6 months. The primary outcome is laboratory-confirmed influenza in the infant. Case ascertainment occurs through searches of Australian notifiable diseases data sets once the infant turns 6 months of age (with parental consent). The primary analysis involves calculating vaccine effectiveness against laboratory-confirmed influenza by comparing the incidence of influenza in infants of vaccinated mothers to the incidence in infants of unvaccinated mothers. Secondary analyses include annual and pooled estimates of the proportion of mothers vaccinated during pregnancy, the effectiveness of maternal vaccination in preventing hospitalisation for acute respiratory illness and modelling to assess the determinants of vaccination. ETHICS AND DISSEMINATION The study was approved by all institutional Human Research Ethics Committees responsible for participating sites. Study findings will be published in peer review journals and presented at national and international conferences. TRIAL REGISTRATION NUMBER The study is registered with the Australia and New Zealand Clinical Trials Registry (ANZCTR) number: 12612000175875.

Estimating second language productive vocabulary size: A Capture-Recapture approach

This study provides validity evidence for the Capture-Recapture (CR) method, borrowed from ecology, as a measure of second language (L2) productive vocabulary size (PVS). Two separate “captures” of productive vocabulary were taken using written word association tasks (WAT). At Time 1, 47 bilinguals provided at least 4 associates to each of 30 high-frequency stimulus words in English, their first language (L1), and in French, their L2. A few days later (Time 2), this procedure was repeated with a different set of stimulus words in each language. Since the WAT was used, both Lex30 and CR PVS scores were calculated in each language. Participants also completed an animacy judgment task assessing the speed and efficiency of lexical access. Results indicated that, in both languages, CR and Lex30 scores were significantly positively correlated (evidence of convergent validity). CR scores were also significantly larger in the L1, and correlated significantly with the speed of lexical access in the L2 (evidence of construct validity). These results point to the validity of the technique for estimating relative L2 PVS. However, CR scores are not a direct indication of absolute vocabulary size. A discussion of the method’s underlying assumptions and their implications for interpretation are provided.

Understanding preservice teachers’ development of pedagogical knowledge practices when co-teaching primary science to peers

Preservice teachers articulate the need for more teaching experiences for developing their practices, however, extending beyond existing school arrangements may present difficulties. Thus, it is important to understand preservice teachers’ development of pedagogical knowledge practices when in the university setting. This mixed-method study investigated 48 second-year preservice teachers’ development of pedagogical knowledge practices as a result of co-teaching primary science to peers. Data were collected through a survey, video-recorded lessons, extended written responses and researcher observations. The study showed how these preservice teachers demonstrated 9 of 11 pedagogical knowledge practices within the co-teaching arrangement. However, research is needed to determine the level of development on each pedagogical knowledge practice and how these practices can be transferred into authentic primary classroom settings.

How can principals enhance teacher job satisfaction and work commitment?

Teachers leave the teaching profession at different stages throughout their careers. When mid-career teachers leave the profession, there is a potential loss of experienced, quality staff. Increasingly principals have the responsibility for recruiting and keeping quality staff, which translates to responsibility for arresting the attrition rate. This paper reports on an ongoing study that investigates how school leadership may affect teacher job satisfaction in order to understand how principals can enhance teacher work commitment. This paper uses the domains of leadership identified in Education Queensland’s Leadership Matters Framework (2008) to compare school leaders’ and teachers’ perceptions about mid-career teachers’ leaving the profession. Five current principals and five ex-teachers participated in semi-structured, qualitative, individual interviews about which leadership practices impact on teacher work commitment. The ideas identified by each cohort were coded through a content analysis. The five domains of leadership (i.e., personal, relational, intellectual, organisational and educational leadership) provided an analytical framework. Both participant groups indicated relational leadership practices as the strongest influence on teacher work commitment. The relational skills, such as valuing staff, being approachable, being consistent with staff interactions, having good interpersonal skills and developing staff strengths, were noted to have specific impacts on teachers’ work commitment. There were significant differences between the groups, with the ex-teachers rating the personal leadership practices as the second most important practice that can influence teacher work commitment. In contrast, the principals felt that the organisational and education leadership practices were of next importance for teacher work commitment. The findings have implications for principal leadership professional learning. Improving relational skills may help school leaders to increase teacher work. Teacher attrition is a serious concern to many education jurisdictions and by understanding reasons for decline in commitment, jurisdictions can redress the negative impact of leadership practices and keep teachers committed and in the profession. However, further research needs to incorporate more participants through a quantitative study to validate connections with the qualitative findings presented in this current study.

Adaptive online gradient descent

We study the rates of growth of the regret in online convex optimization. First, we show that a simple extension of the algorithm of Hazan et al eliminates the need for a priori knowledge of the lower bound on the second derivatives of the observed functions. We then provide an algorithm, Adaptive Online Gradient Descent, which interpolates between the results of Zinkevich for linear functions and of Hazan et al for strongly convex functions, achieving intermediate rates between [square root T] and [log T]. Furthermore, we show strong optimality of the algorithm. Finally, we provide an extension of our results to general norms.

Development of health risk-based metrics for defining a heatwave : a time series study in Brisbane, Australia

Background: This study attempted to develop health risk-based metrics for defining a heatwave in Brisbane, Australia. Methods: Poisson generalised additive model was performed to assess the impact of heatwaves on mortality and emergency hospital admissions (EHAs) in Brisbane. Results: In general, the higher the intensity and the longer the duration of a heatwave, the greater the health impacts. There was no apparent difference in EHAs risk during different periods of a warm season. However, there was a greater risk of mortality in the second half of a warm season than that in the first half. While elderly (>75 years)were particularly vulnerable to both the EHA and mortality effects of a heatwave, the risk for EHAs also significantly increased for two other age groups (0-64 years and 65-74 years) during severe heatwaves. Different patterns between cardiorespiratory mortality and EHAs were observed. Based on these findings, we propose the use of a teiered heat warning system based on the health risk of heatwave. Conclusions: Health risk-based metrics are a useful tool for the development of local heatwave definitions. thsi tool may have significant implications for the assessment of heatwave-related health consequences and development of heatwave response plans and implementation strategies.

The second chance project: A multi-level examination of secondary prevention practices for Saudi people following a recent cardiac event

The study examined the health-related behaviours of Saudi people following a recent cardiac event and identified the factors that influence these behaviours using McLeroy et al.'s (1988) Ecological Model of Health Behaviours as a guiding framework. The study was one of the first in Saudi Arabia to examine the health-related behaviours of Saudi people following a recent cardiac event. The study findings emphasise the importance of a program that integrates secondary prevention practices, educational approaches and targeted supportive services in cardiac care in Saudi Arabia.

Second-order quantile methods for experts and combinatorial games

We aim to design strategies for sequential decision making that adjust to the difficulty of the learning problem. We study this question both in the setting of prediction with expert advice, and for more general combinatorial decision tasks. We are not satisfied with just guaranteeing minimax regret rates, but we want our algorithms to perform significantly better on easy data. Two popular ways to formalize such adaptivity are second-order regret bounds and quantile bounds. The underlying notions of 'easy data', which may be paraphrased as "the learning problem has small variance" and "multiple decisions are useful", are synergetic. But even though there are sophisticated algorithms that exploit one of the two, no existing algorithm is able to adapt to both. In this paper we outline a new method for obtaining such adaptive algorithms, based on a potential function that aggregates a range of learning rates (which are essential tuning parameters). By choosing the right prior we construct efficient algorithms and show that they reap both benefits by proving the first bounds that are both second-order and incorporate quantiles.

In pursuit of some appreciation: Assessment and group membership in children’s second stories

Group membership is central to social interaction. Within peer groups, social hierarchies and affiliations are matters to which members seriously attend (Corsaro, 2014). Studies of peer groups highlight how status is achieved through oppositional actions. This paper examines the way in which competition and collaboration in a children’s peer group accomplishes status during the production and management of “second stories” (Sacks 1992). We present analysis of the interaction of young boys in a preparatory year playground who are engaged in a single instance of storytelling “rounds”. Analysis highlights the pivotal role of members’ contributions, assessments and receipts in a series of second stories that enact a simultaneously competitive and collaborative local order.

Numerical algorithms for time-fractional subdiffusion equation with second-order accuracy

This article aims to fill in the gap of the second-order accurate schemes for the time-fractional subdiffusion equation with unconditional stability. Two fully discrete schemes are first proposed for the time-fractional subdiffusion equation with space discretized by finite element and time discretized by the fractional linear multistep methods. These two methods are unconditionally stable with maximum global convergence order of $O(\tau+h^{r+1})$ in the $L^2$ norm, where $\tau$ and $h$ are the step sizes in time and space, respectively, and $r$ is the degree of the piecewise polynomial space. The average convergence rates for the two methods in time are also investigated, which shows that the average convergence rates of the two methods are $O(\tau^{1.5}+h^{r+1})$. Furthermore, two improved algorithms are constrcted, they are also unconditionally stable and convergent of order $O(\tau^2+h^{r+1})$. Numerical examples are provided to verify the theoretical analysis. The comparisons between the present algorithms and the existing ones are included, which show that our numerical algorithms exhibit better performances than the known ones.