58 research outputs found
First year experience (FYE): International students’ experiences
International students confront a range of challenges during their transition to living and studying in Australia. Despite these challenges over 80% of international students reported high satisfaction with their life and study within Australia. This qualitative study reports on the experiences of 53 first year international students at ECU. Participants were students from across a range of study areas who responded to an online or face to face survey. Participants were required to respond to four questions which were analysed thematically to provide a summary of their experiences. Survey questions included their positive and negative experiences of being a first year student at ECU and changes that they suggested be considered by the university. Thematic analysis revealed a range of issues, most of which were reflected in previous research, however a range of ECU specific issues were also revealed, for example, resources and timetabling. This introductory research has provided initial data for developing future research. The cognitive nature of the survey may have limited the responses of participants. It is recommended that future research consider interviews with international students to review social and emotional issues
Discovery of <i>Aspergillus frankstonensis</i> sp nov during environmental sampling for animal and human fungal pathogens
Invasive fungal infections (IFI) due to species in Aspergillus section Fumigati (ASF), including the Aspergillus viridinutans species complex (AVSC), are increasingly reported in humans and cats. The risk of exposure to these medically important fungi in Australia is unknown. Air and soil was sampled from the domiciles of pet cats diagnosed with these IFI and from a nature reserve in Frankston, Victoria, where Aspergillus viridinutans sensu stricto was discovered in 1954. Of 104 ASF species isolated, 61% were A. fumigatus sensu stricto, 9% were AVSC (A. felis-clade and A. frankstonensis sp. nov.) and 30% were other species (30%). Seven pathogenic ASF species known to cause disease in humans and animals (A. felis-clade, A. fischeri, A. thermomutatus, A. lentulus, A. laciniosus A. fumisynnematus, A. hiratsukae) comprised 25% of isolates overall. AVSC species were only isolated from Frankston soil where they were abundant, suggesting a particular ecological niche. Phylogenetic, morphological and metabolomic analyses of these isolates identified a new species, A. frankstonensis that is phylogenetically distinct from other AVSC species, heterothallic and produces a unique array of extrolites, including the UV spectrum characterized compounds DOLD, RAIMO and CALBO. Shared morphological and physiological characteristics with other AVSC species include slow sporulation, optimal growth at 37°C, no growth at 50°C, and viriditoxin production. Overall, the risk of environmental exposure to pathogenic species in ASF in Australia appears to be high, but there was no evidence of direct environmental exposure to AVSC species in areas where humans and cats cohabitate
Closing the gap on causal processes of infection risk from cross-sectional data:structural equation models to understand infection and co-infection
BACKGROUND: Epidemiological studies of disease exposure risk are frequently based on observational, cross-sectional data, and use statistical approaches as crucial tools for formalising causal processes and making predictions of exposure risks. However, an acknowledged limitation of traditional models is that the inferred relationships are correlational, cannot easily distinguish direct from indirect determinants of disease risk, and are often considerable simplifications of complex interrelationships. This may be particularly important when attempting to infer causality in patterns of co-infection through pathogen-facilitation. METHODS: We describe analyses of cross-sectional data using structural equation models (SEMs), a contemporary advancement on traditional regression approaches, based on our study system of feline gammaherpesvirus (FcaGHV1) in domestic cats. RESULTS: SEMs strongly supported a latent (host phenotype) variable associated with FcaGHV1 exposure and co-infection risk, suggesting these individuals are simply more likely to become infected with multiple pathogens. However, indications of pathogen-covariance (potential facilitation) were also variably detected: potentially among FcaGHV1, Bartonella spp and Mycoplasma spp. CONCLUSIONS: Our models suggest multiple exposures are primarily driven by host phenotypic traits, such as aggressive male phenotypes, and secondarily by pathogen-pathogen interactions. The results of this study demonstrate the application of SEMs to understanding epidemiological processes using observational data, and could be used more widely as a complementary tool to understand complex cross-sectional information in a wide variety of disciplines
Extending working life and the management of change. Is the workplace ready for the ageing worker?
Increasing longevity and the strain on state and occupational pensions have brought into question long-held assumptions about the age of retirement, and raised the prospect of a workplace populated by ageing workers. In the United Kingdom the default retirement age has gone, incremental increases in state pension age are being implemented and ageism has been added to workplace anti-discrimination laws. These changes are yet to bring about the anticipated transformation in workplace demographics, but it is coming, making it timely to ask if the workplace is ready for the ageing worker and how the extension of working life will be managed. We report findings from qualitative case studies of five large organisations located in the United Kingdom. Interviews and focus groups were conducted with employees, line managers, occupational health staff and human resources managers. Our findings reveal a high degree of uncertainty and ambivalence among workers and managers regarding the desirability and feasibility of extending working life; wide variations in how older workers are managed within workplaces; a gap between policies and practices; and evidence that while casualisation might be experienced negatively by younger workers, it may be viewed positively by financially secure older workers seeking flexibility. We conclude with a discussion of the challenges facing employers and policy makers in making the modern workplace fit for the ageing worker
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Closing the gap on causal processes of infection risk from cross-sectional data: structural equation models to understand infection and co-infection
Background: Epidemiological studies of disease exposure risk are frequently based on observational, cross-sectional data, and use statistical approaches as crucial tools for formalising causal processes and making predictions of exposure risks. However, an acknowledged limitation of traditional models is that the inferred relationships are correlational, cannot easily distinguish direct from indirect determinants of disease risk, and are often considerable simplifications of complex interrelationships. This may be particularly important when attempting to infer causality in patterns of co-infection through pathogen-facilitation.
Methods: We describe analyses of cross-sectional data using structural equation models (SEMs), a contemporary advancement on traditional regression approaches, based on our study system of feline gammaherpesvirus (FcaGHV1) in domestic cats.
Results: SEMs strongly supported a latent (host phenotype) variable associated with FcaGHV1 exposure and co-infection risk, suggesting these individuals are simply more likely to become infected with multiple pathogens. However, indications of pathogen-covariance (potential facilitation) were also variably detected: potentially among FcaGHV1, Bartonella spp and Mycoplasma spp.
Conclusions: Our models suggest multiple exposures are primarily driven by host phenotypic traits, such as aggressive male phenotypes, and secondarily by pathogen-pathogen interactions. The results of this study demonstrate the application of SEMs to understanding epidemiological processes using observational data, and could be used more widely as a complementary tool to understand complex cross-sectional information in a wide variety of disciplines.This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by BioMed Central. The published article can be found at: http://www.parasitesandvectors.com
The GDP-GTP exchange factor collybistin: an essential determinant of neuronal gephyrin clustering
Glycine receptors (GlyRs) and specific subtypes of GABAA receptors are clustered at synapses by the multidomain protein gephyrin, which in turn is translocated to the cell membrane by the GDP-GTP exchange factor collybistin. We report the characterization of several new variants of collybistin, which are created by alternative splicing of exons encoding an N-terminal src homology 3 (SH3) domain and three alternate C termini (CB1, CB2, and CB3). The presence of the SH3 domain negatively regulates the ability of collybistin to translocate gephyrin to submembrane microaggregates in transfected mammalian cells. Because the majority of native collybistin isoforms appear to harbor the SH3 domain, this suggests that collybistin activity may be regulated by protein-protein interactions at the SH3 domain. We localized the binding sites for collybistin and the GlyR {beta} subunit to the C-terminal MoeA homology domain of gephyrin and show that multimerization of this domain is required for collybistin-gephyrin and GlyR-gephyrin interactions. We also demonstrate that gephyrin clustering in recombinant systems and cultured neurons requires both collybistin-gephyrin interactions and an intact collybistin pleckstrin homology domain. The vital importance of collybistin for inhibitory synaptogenesis is underlined by the discovery of a mutation (G55A) in exon 2 of the human collybistin gene (ARHGEF9) in a patient with clinical symptoms of both hyperekplexia and epilepsy. The clinical manifestation of this collybistin missense mutation may result, at least in part, from mislocalization of gephyrin and a major GABAA receptor subtype
Health trajectories in regeneration areas in England:the impact of the New Deal for Communities intervention
BACKGROUND: A large body of evidence documents the adverse relationship between concentrated deprivation and health. Among the evaluations of regeneration initiatives to tackle these spatial inequalities, few have traced the trajectories of individuals over time and fewer still have employed counterfactual comparison. We investigate the impact of one such initiative in England, the New Deal for Communities (NDC), which ran from 1999 to 2011, on socioeconomic inequalities in health trajectories. METHODS: Latent Growth Curve modelling of within-person changes in self-rated health, mental health and life satisfaction between 2002 and 2008 of an analytical cohort of residents of 39 disadvantaged areas of England in which the NDC was implemented, compared with residents of comparator, non-intervention areas, focusing on: (1) whether differences over time in outcomes can be detected between NDC and comparator areas and (2) whether interventions may have altered socioeconomic differences in outcomes. RESULTS: No evidence was found for an overall improvement in the three outcomes, or for significant differences in changes in health between respondents in NDC versus comparator areas. However, we found a weakly significant gap in life satisfaction and mental health between high and low socioeconomic status individuals in comparator areas which widened over time to a greater extent than in NDC areas. Change over time in the three outcomes was non-linear: individual improvements among NDC residents were largest before 2006. CONCLUSIONS: There is limited evidence that the NDC moderated the impact of socioeconomic factors on mental health and life satisfaction trajectories. Furthermore, any NDC impact was strongest in the first 6 years of the programmes
Effect of a Perioperative, Cardiac Output-Guided Hemodynamic Therapy Algorithm on Outcomes Following Major Gastrointestinal Surgery A Randomized Clinical Trial and Systematic Review
Importance: small trials suggest that postoperative outcomes may be improved by the use of cardiac output monitoring to guide administration of intravenous fluid and inotropic drugs as part of a hemodynamic therapy algorithm.Objective: to evaluate the clinical effectiveness of a perioperative, cardiac output–guided hemodynamic therapy algorithm.Design, setting, and participants: OPTIMISE was a pragmatic, multicenter, randomized, observer-blinded trial of 734 high-risk patients aged 50 years or older undergoing major gastrointestinal surgery at 17 acute care hospitals in the United Kingdom. An updated systematic review and meta-analysis were also conducted including randomized trials published from 1966 to February 2014.Interventions: patients were randomly assigned to a cardiac output–guided hemodynamic therapy algorithm for intravenous fluid and inotrope (dopexamine) infusion during and 6 hours following surgery (n=368) or to usual care (n=366).Main outcomes and measures: the primary outcome was a composite of predefined 30-day moderate or major complications and mortality. Secondary outcomes were morbidity on day 7; infection, critical care–free days, and all-cause mortality at 30 days; all-cause mortality at 180 days; and length of hospital stay.Results: baseline patient characteristics, clinical care, and volumes of intravenous fluid were similar between groups. Care was nonadherent to the allocated treatment for less than 10% of patients in each group. The primary outcome occurred in 36.6% of intervention and 43.4% of usual care participants (relative risk [RR], 0.84 [95% CI, 0.71-1.01]; absolute risk reduction, 6.8% [95% CI, ?0.3% to 13.9%]; P?=?.07). There was no significant difference between groups for any secondary outcomes. Five intervention patients (1.4%) experienced cardiovascular serious adverse events within 24 hours compared with none in the usual care group. Findings of the meta-analysis of 38 trials, including data from this study, suggest that the intervention is associated with fewer complications (intervention, 488/1548 [31.5%] vs control, 614/1476 [41.6%]; RR, 0.77 [95% CI, 0.71-0.83]) and a nonsignificant reduction in hospital, 28-day, or 30-day mortality (intervention, 159/3215 deaths [4.9%] vs control, 206/3160 deaths [6.5%]; RR, 0.82 [95% CI, 0.67-1.01]) and mortality at longest follow-up (intervention, 267/3215 deaths [8.3%] vs control, 327/3160 deaths [10.3%]; RR, 0.86 [95% CI, 0.74-1.00]).Conclusions and relevance: in a randomized trial of high-risk patients undergoing major gastrointestinal surgery, use of a cardiac output–guided hemodynamic therapy algorithm compared with usual care did not reduce a composite outcome of complications and 30-day mortality. However, inclusion of these data in an updated meta-analysis indicates that the intervention was associated with a reduction in complication rate
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