Description:
The adapted Autobiographical Interview (AI) is one of the most commonly used and widely cited measures of prospection in adult humans. The use of this instrument requires investigators to make many decisions that can influence the outcomes of studies. Here, we performed a systematic review of studies utilizing the adapted AI. We assessed and characterized the studies on various aspects of methodological quality and reporting. We then investigated and reported on several properties of adapted AI scores that have implications for their interpretation. We conclude by proposing Conduct and Reporting of Autobiographical Interview (CRAI) guidelines to contribute to the improvement of the reporting quality for studies that use the adapted AI, and hope that this will contribute to future efforts to validate this influential measurement instrument of prospection in humans.
Description:
The worldwide decline of wetland ecosystems calls for an urgent reassessment of their current status from a resilience perspective. Understanding the trajectories of changes that have produced the current situation is fundamental for assessing system resilience. Here, we examine long-term dynamics of wetland ecosystem change by reviewing paleoecological records from 11 representative lakes in China. We identify unprecedented change in alga communities in the context of last two centuries. Striking ecological shifts have occurred in all lakes, yet with spatial and temporal differences. The long-term trajectories of change in diatom species composition and structure indicate gradually eroded system resilience. These ecological shifts were shaped by socio-economic activities as China transformed from a rural agricultural to an industrialized society within the last several decades, during which multiple drivers have accumulated and acted synergistically. The balance between ecosystem and society, which appeared to exist for thousands of years, was broken by increasing population, new technology, and urbanization since the 1980s. The consequences are the emergence of new positive feedbacks with the potential to drive the coupled systems into undesirable states. By linking long-term social and ecological change at a regional scale, our study provides a novel contribution to the understanding of lake ecosystems resilience in present-day China. We argue that sustaining wetland ecosystems requires integrated approaches that incorporate a deeper understanding of social-ecological dynamics over decadal-centennial timescales to address the complex underlying mechanisms leading to the current degradation.
Description:
Aims: To evaluate the impact of Acute Deterioration Detection System (ADDS) charts introduced to a regional healthcare service. Background: To assist health professionals in identifying essential elements for recognizing patient clinical deterioration, a national initiative introduced track and trigger observation charts, to hospitals in Australia. This study investigated whether the introduction of ADDS charts had an impact on the number of Medical Emergency Team (MET) and Code Blue activations at one regional healthcare service, according to their incident recording database. Method: A retrospective study of all Code Blue and MET activations was undertaken at a regional hospital, pre and post the introduction of ADDS charts in a two year period, June 2012 to June 2014. Results: There was a significant increase in MET activations from 5.91 to 11.27 per 1000 admissions (p < 0.01) after the implementation of ADDS charts. There was also an unexplained non-significant increase from 0.50 to 0.88 per 1000 admissions in the activations of Code Blue during this period (p = 0.05). It was also found that ADDS charts did not overly influence the activation criteria for calling a MET/Code Blue, except for an increase in reports of high heart rate and a decrease in the use of the criteria ‘worried’. Conclusion: The introduction of ADDS charts has provided health professionals with a clear track and trigger set of criteria, improving the detection of early signs of deterioration in patients. This study demonstrated an increase in activations as a result of the introduction of ADDS charts in one regional healthcare service.
Description:
Little is known about why nurses escalate a Medical Emergency Team (MET) response based on ‘worried’ criteria or what clinical findings define a ‘worried’ MET call. Limited clarity exists in nursing literature regarding the clinical definition of ‘worried’ in medical emergencies. Commonly ‘worried’ terminology is associated with nursing intuition about a patient's condition before signs of decline in clinical condition. This research has identified the exact clinical cause of ‘worried’ escalations, with evidence to support that clinical reasoning and patient deterioration are the main cause of ‘worried’ activation. This research has also highlighted areas for further professional development to enhance levels of patient safety and quality care within a regional hospital setting.
Description:
In this work, we propose an adaptive phase field method (PFM) to simulate quasi-static brittle fracture problems. The phase field equations are solved using the scaled boundary finite element method (SBFEM). The adaptive refinement strategy is based on an error indicator evaluated directly from the solutions of the SBFEM without any need for stress recovery techniques. Quadtree meshes are adapted to perform mesh refinement. The polygons with hanging nodes in the quadtree decomposition are treated as n−sided polygons within the framework of the SBFEM and do not require any special treatment in contrast to the conventional finite element method. Several benchmark problems are used to demonstrate the robustness and the efficacy of the proposed technique. The adaptive refinement strategy reduces the mesh burden when adopting the PFM to model fracture. Numerical results show an improvement in the computational efficiency in terms of the number of elements required in the standard PFM without compromising the accuracy of the solution.
Looking beyond people, equipment and environment : Is a systems theory model of accident causation required to understand injuries and near misses during outdoor activities?
Description:
The National Incident Database (NID) provides a standardised, industry-wide, approach to incident reporting for the outdoor sector in New Zealand (NZ). The aim of this study was to determine whether the NID contributing factor categories (i. e. people, equipment and environment) are sufficient for classifying the data that has been collected on accident causation by the NID, or whether a systems theory framework is required. A sample of injury and near miss reports (n = 228) were extracted from the NID and analysed. All contributing factors identified were classified according to Rasmussen's (1997) Risk Management Framework (RRMF), which was adapted to describe the " led outdoor activity system". In total, 58 different contributing factor categories were identified across the 228 incidents. Factors were classified across all levels of the framework, which indicates that the NID categories are inadequate. The findings also demonstrate that RRMF is appropriate for classifying the contributing factors involved in less severe injuries and near misses that do not have in-depth investigations associated with them. (C) 2015 The Authors. Published by Elsevier B.V.
Description:
The National Incident Database (NID) provides a standardised, industry-wide, approach to incident reporting for the outdoor sector in New Zealand (NZ). The aim of this study was to determine whether the NID contributing factor categories (i. e. people, equipment and environment) are sufficient for classifying the data that has been collected on accident causation by the NID, or whether a systems theory framework is required. A sample of injury and near miss reports (n = 228) were extracted from the NID and analysed. All contributing factors identified were classified according to Rasmussen's (1997) Risk Management Framework (RRMF), which was adapted to describe the " led outdoor activity system". In total, 58 different contributing factor categories were identified across the 228 incidents. Factors were classified across all levels of the framework, which indicates that the NID categories are inadequate. The findings also demonstrate that RRMF is appropriate for classifying the contributing factors involved in less severe injuries and near misses that do not have in-depth investigations associated with them. (C) 2015 The Authors. Published by Elsevier B.V.
Description:
Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome.
Description:
Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome.
Description:
Archaeologists and palaeoecologists are increasingly turning to stable isotope analysis (δ 13 C, δ 18 O) of fossil bioapatite to examine interactions of human and animal populations. However, relatively few investigations have focussed on the identification of natural variation in comparable modern populations, particularly within the Australian context. In this paper, we present the first modern isotopic reference dataset for Tasmanian bare-nosed wombat teeth (Vombatus ursinus tasmaniensis). Samples for δ 13 C bioapatite and δ 18 O bioapatite measurements were recovered sequentially at sub-monthly resolution from all tooth types. δ 13 C bioapatite showed little variation within a seasonal sinusoidal pattern within the sample set (n = 24 wombats; 35 teeth) due to the homogeneous C 3 distribution of plants in Tasmania. In contrast, δ 18 O bioapatite profiles varied seasonally, representing time periods of between 0.9 and 2.1 years in 95% of the sample. Significant differences between tooth types were found from intra-individual to inter-regional scales for both dental growth rates and isotopic values. The accuracy of season-of-death assessments differed across the island; those in eastern Tasmania were accurate in all instances whereas those in the west showed substantial inaccuracies. We suggest that this may be due to the elodont form of wombat dentition and the ecologically influenced seasonally varied diet in western Tasmania. As the rate of dental growth is positively correlated with the proportion of coarse vegetation within the diet, this seasonal variation is therefore likely to change how annual isotopic signals are incorporated into the enamel. These results highlight the need to understand the degree of species-specific isotopic variation at a range of scales before applying this technique to archaeological or palaeontological assemblages.
Description:
For a Tychonoff space X, let V(X) be the free topological vector space over X. Denote by I, G, Q and Sk the closed unit interval, the Cantor space, the Hilbert cube Q=IN and the k-dimensional unit sphere for k