229 research outputs found

    Communication factors impacting on the ability of a family to adjust to caring for a family member following a catastrophic injury in Western Australia

    Get PDF
    Objectives: The study identified the issues for families affected by catastrophic injury in the early days post injury with a view to highlighting the need for some key changes to the system in Western Australia. Methods: The research used a community participatory research framework to conduct the study. Overall, twenty-three carers of those with a catastrophic injury were interviewed using semi-structured interviewing technique. Transcripts were analysed using an iterative thematic analysis framework. Results: The lack of preparedness for families in adapting to a family member with a permanent injury was highlighted. Experiences during the early days following the event had a major impact upon the family’s ability to adjust post injury. Conclusion: A structured pathway is needed to allow families, especially those with children, to adjust to life after the event. Families who are not financially compensable are particularly vulnerable with inadequate support in adjusting to life with a family member following a traumatic catastrophic injury. Practice implications: Changes to the system are recommended across a number of core areas to ensure equity of access for all of those with long term catastrophic injur

    Animating Through Warping: an Efficient Method for High-Quality Facial Expression Animation

    Full text link
    Advances in deep neural networks have considerably improved the art of animating a still image without operating in 3D domain. Whereas, prior arts can only animate small images (typically no larger than 512x512) due to memory limitations, difficulty of training and lack of high-resolution (HD) training datasets, which significantly reduce their potential for applications in movie production and interactive systems. Motivated by the idea that HD images can be generated by adding high-frequency residuals to low-resolution results produced by a neural network, we propose a novel framework known as Animating Through Warping (ATW) to enable efficient animation of HD images. Specifically, the proposed framework consists of two modules, a novel two-stage neural-network generator and a novel post-processing module known as Animating Through Warping (ATW). It only requires the generator to be trained on small images and can do inference on an image of any size. During inference, an HD input image is decomposed into a low-resolution component(128x128) and its corresponding high-frequency residuals. The generator predicts the low-resolution result as well as the motion field that warps the input face to the desired status (e.g., expressions categories or action units). Finally, the ResWarp module warps the residuals based on the motion field and adding the warped residuals to generates the final HD results from the naively up-sampled low-resolution results. Experiments show the effectiveness and efficiency of our method in generating high-resolution animations. Our proposed framework successfully animates a 4K facial image, which has never been achieved by prior neural models. In addition, our method generally guarantee the temporal coherency of the generated animations. Source codes will be made publicly available.Comment: 18 pages, 13 figures, Accepted to ACM Multimedia 202

    COMPILING, SYNTHESIZING AND ANALYZING EXISTING BOREAL FOREST FIRE HISTORY DATA IN ALASKA

    Get PDF
    Wildland fires play a critical role in maintaining the ecological integrity of boreal forests in Alaska. Identifying and maintaining natural fire regimes is an important component of fire management. There are numerous research projects that directly or indirectly address historical fire regimes in the Alaskan boreal forest, but many are unpublished, have many unprocessed dendrochronological (tree age and fire scar) samples, or their data were used for other purposes. Furthermore, no assessment of these data exists to understand how fire has historically affected the boreal forest ecosystems of Alaska. The goal of this project was to compile and synthesize existing Alaska boreal-forest fire-history literature and datasets (http://frames.nbii.gov/alaska/borealfirehistory). We include a literature review and synthesis of publications related to fire regimes in boreal forests in Alaska (the pending general technical report “Fire Regimes of the Alaskan Boreal Forest”), and incorporate the reference information into the Alaska Fire Effects Reference Database (http://frames.nbii.gov/alaska; funded by JFSP as part of project 05-4-2-03: Expanding FIREHouse to Alaska). Fourteen published and unpublished fire-history or stand-age datasets were compiled and processed into the Alaska Fire History Database (http://frames.nbii.gov/documents/alaska/fire_history/ak_fire_history_db.zip), and data summarized by plot are available through a dynamic map interface (within the Alaska Fire and Fuels Research Map; http://afsmaps.blm.gov/imf/imf.jsp?site=firehouse). Data compiled in the Alaska Fire History Database have also been submitted to the International Multiproxy Paleofire Database (IMPD). Finally, some of the project funds were used to clean up and improve data within the Alaska Large Fire Database, a database started in the early 1990s that includes reported fire locations since 1939 and fire perimeters since 1942 (http://afsmaps.blm.gov/imf/imf.jsp?site=firehistory)

    Perinatal distress and depression in culturally and linguistically diverse (CALD) Australian women : the role of psychosocial and obstetric factors

    Get PDF
    Perinatal distress and depression can have significant impacts on both the mother and baby. The present study investigated psychosocial and obstetric factors associated with perinatal distress and depressive symptoms among culturally and linguistically diverse (CALD) Australian women in Sydney, New South Wales. The study used retrospectively linked maternal and child health data from two Local Health Districts in Australia (N = 25,407). Perinatal distress was measured using the Edinburgh Postnatal Depression Scale (EPDS, scores of 10–12) and depressive symptoms, with EPDS scores of 13 or more. Multivariate multinomial logistic regression models were used to investigate the association between psychosocial and obstetric factors with perinatal distress and depressive symptoms. The prevalence of perinatal distress and depressive symptoms among CALD Australian women was 10.1% for antenatal distress; 7.3% for antenatal depressive symptoms; 6.2% for postnatal distress and 3.7% for postnatal depressive symptoms. Antenatal distress and depressive symptoms were associated with a lack of partner support, intimate partner violence, maternal history of childhood abuse and being known to child protection services. Antenatal distress and depressive symptoms were strongly associated with postnatal distress and depressive symptoms. Higher socioeconomic status had a protective effect on antenatal and postnatal depressive symptoms. Our study suggests that current perinatal mental health screening and referral for clinical assessment is essential, and also supports a re-examination of perinatal mental health policy to ensure access to culturally responsive mental health care that meets patients’ needs

    Quantification of macrophage-driven inflammation during myocardial infarction with 18F-LW223, a novel TSPO radiotracer with binding independent of the rs6971 human polymorphism

    Get PDF
    Myocardial infarction (MI) is one of the leading causes of death worldwide, and inflammation is central to tissue response and patient outcomes. The 18-kDa translocator protein (TSPO) has been used in PET as an inflammatory biomarker. The aims of this study were to screen novel, fluorinated, TSPO radiotracers for susceptibility to the rs6971 genetic polymorphism using in vitro competition binding assays in human brain and heart; assess whether the in vivo characteristics of our lead radiotracer, 18F-LW223, are suitable for clinical translation; and validate whether 18F-LW223 can detect macrophage-driven inflammation in a rat MI model. Methods: Fifty-one human brain and 29 human heart tissue samples were screened for the rs6971 polymorphism. Competition binding assays were conducted with 3H-PK11195 and the following ligands: PK11195, PBR28, and our novel compounds (AB5186 and LW223). Naïve rats and mice were used for in vivo PET kinetic studies, radiometabolite studies, and dosimetry experiments. Rats underwent permanent coronary artery ligation and were scanned using PET/CT with an invasive input function at 7 d after MI. For quantification of PET signal in the hypoperfused myocardium, K1 (rate constant for transfer from arterial plasma to tissues) was used as a surrogate marker of perfusion to correct the binding potential for impaired radiotracer transfer from plasma to tissue (BPTC). Results: LW223 binding to TSPO was not susceptible to the rs6971 genetic polymorphism in human brain and heart samples. In rodents, 18F-LW223 displayed a specific uptake consistent with TSPO expression, a slow metabolism in blood (69% of parent at 120 min), a high plasma free fraction of 38.5%, and a suitable dosimetry profile (effective dose of 20.5–24.5 μSv/MBq). 18F-LW223 BPTC was significantly higher in the MI cohort within the infarct territory of the anterior wall relative to the anterior wall of naïve animals (32.7 ± 5.0 vs. 10.0 ± 2.4 cm3/mL/min, P ≤ 0.001). Ex vivo immunofluorescent staining for TSPO and CD68 (macrophage marker) resulted in the same pattern seen with in vivo BPTC analysis. Conclusion: 18F-LW223 is not susceptible to the rs6971 genetic polymorphism in in vitro assays, has favorable in vivo characteristics, and is able to accurately map macrophage-driven inflammation after MI

    Cell-specific transcriptome changes in the hypothalamic arcuate nucleus in a mouse deoxycorticosterone acetate-salt model of hypertension

    Get PDF
    A common preclinical model of hypertension characterized by low circulating renin is the “deoxycorticosterone acetate (DOCA)-salt” model, which influences blood pressure and metabolism through mechanisms involving the angiotensin II type 1 receptor (AT1R) in the brain. More specifically, AT1R within Agouti-related peptide (AgRP) neurons of the arcuate nucleus of the hypothalamus (ARC) has been implicated in selected effects of DOCA-salt. In addition, microglia have been implicated in the cerebrovascular effects of DOCA-salt and angiotensin II. To characterize DOCA-salt effects upon the transcriptomes of individual cell types within the ARC, we used single-nucleus RNA sequencing (snRNAseq) to examine this region from male C57BL/6J mice that underwent sham or DOCA-salt treatment. Thirty-two unique primary cell type clusters were identified. Sub-clustering of neuropeptide-related clusters resulted in identification of three distinct AgRP subclusters. DOCA-salt treatment caused subtype-specific changes in gene expression patterns associated with AT1R and G protein signaling, neurotransmitter uptake, synapse functions, and hormone secretion. In addition, two primary cell type clusters were identified as resting versus activated microglia, and multiple distinct subtypes of activated microglia were suggested by sub-cluster analysis. While DOCA-salt had no overall effect on total microglial density within the ARC, DOCA-salt appeared to cause a redistribution of the relative abundance of activated microglia subtypes. These data provide novel insights into cell-specific molecular changes occurring within the ARC during DOCA-salt treatment, and prompt increased investigation of the physiological and pathophysiological significance of distinct subtypes of neuronal and glial cell types
    corecore