195 research outputs found

    Predictors of Health-related Quality of Life at One Month after Head and Neck Cancer Surgery

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    poster abstractSignificance: Head and neck cancer (HNC) survivors frequently experience treatment-related complications that may cause decrements in health-related quality of life (HRQOL). Before interventions can be designed to enhance HRQOL in the early postoperative period, descriptive research is needed to determine predictors of HRQOL in this understudied population. Problem and Purpose: The proposed study identified predictors of global HRQOL, and physical, functional, emotional, and social well-being at one month after HNC surgery. Variables examined as potential predictors included shoulder pain, shoulder function, and functional impairments (disfigurement, and eating, speech, and breathing impairments). Theoretical Framework: The University of California, San Francisco School of Nursing Symptom Management Model was modified and used to guide the study. Methods and Analysis: In this exploratory, cross-sectional study, we examined a convenience sample of 29 patients who had undergone HNC surgery with curative intent one month previously. Global HRQOL was measured using the Functional Assessment of Chronic Illness Therapy (FACIT) General Scale, including four well-being subscales. Shoulder pain intensity was measured using the Brief Pain Inventory, shoulder pain distress was measured using a 0-10 numerical rating scale, and functional impairment was measured using the FACIT Head and Neck Subscale. Shoulder function was assessed using a goniometer. Pearson correlations were initially applied to determine correlates (p <0.20) that should be entered in subsequent stepwise regression models. Findings and Implications: The only significant predictor of global HRQOL was eating impairment (B = -0.20, p = 0.02). Predictors of physical well-being were shoulder pain distress (B = -0.10, p = 0.02) and eating impairment (B = 0.27, p = 0.03). Predictors of functional well-being were speech impairment (B = -0.43, p < 0.01) and disfigurement (B = - 0.20, p = 0.02). No significant predictors were found for emotional and social well-being. The findings suggested that patients’ physical and functional well-being can be influenced by eating impairment, shoulder pain distress, speech impairment, or disfigurement at one month after HNC surgery. Nurses need to monitor nutrition intake, provide proper pain management, and collaborate with speech and physical therapists to promote early rehabilitation. A longitudinal study with a larger sample size is warranted to describe needs for multidisciplinary care to improve HQOL after HNC surgery

    Adaptation knowledge for New Zealand’s primary industries: Known, not known and needed

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    Climate sensitive primary industries including pastoral farming, high-value horticulture and viticulture are central to Aotearoa-New Zealand’s economy. While advances have been made in understanding the impacts and implications of climate change critical knowledge gaps remain, particularly for adaptation. This study develops and applies a novel methodology to identify and characterise adaptation knowledge for primary industries. The basis for the review is ten years’ of research and action under the Sustainable Land Management and Climate Change (SLMACC) program, supplemented with a systematic review of the published literature. Reports (n = 32) and literature (n = 22) are reviewed and assessed using the Adaptation Knowledge Cycle to characterise analytical and empirical foci. The detailed assessment of knowledge for Impacts, Implications, Decisions or Actions enables a robust and rigorous assessment of existing knowledge, identifies critical research gaps and emerging needs. Results show research to date has focused almost exclusively on understanding the impact of climate variability and extremes on land management. There are significant empirical (e.g. location and sector) and methodological (e.g. integrated assessments, scenarios, and vulnerability assessment) gaps, for at risk regions and sectors, and limited understanding of the decisions and actions necessary to enable successful adaptation. To inform future adaptation planning, additional work is required to better understand the implications, decision-making processes and obstacles to action. More detailed understanding of location-, season-, time- and sector-specific responses to climate change is also necessary. Findings advance our understanding of adaptation knowledge and reflect on diversity of information necessary to enable and sustain resilient rural futures and provide a conceptual and methodological basis for similar assessments elsewhere

    Entanglement and Timing-Based Mechanisms in the Coherent Control of Scattering Processes

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    The coherent control of scattering processes is considered, with electron impact dissociation of H2+_2^+ used as an example. The physical mechanism underlying coherently controlled stationary state scattering is exposed by analyzing a control scenario that relies on previously established entanglement requirements between the scattering partners. Specifically, initial state entanglement assures that all collisions in the scattering volume yield the desirable scattering configuration. Scattering is controlled by preparing the particular internal state wave function that leads to the favored collisional configuration in the collision volume. This insight allows coherent control to be extended to the case of time-dependent scattering. Specifically, we identify reactive scattering scenarios using incident wave packets of translational motion where coherent control is operational and initial state entanglement is unnecessary. Both the stationary and time-dependent scenarios incorporate extended coherence features, making them physically distinct. From a theoretical point of view, this work represents a large step forward in the qualitative understanding of coherently controlled reactive scattering. From an experimental viewpoint, it offers an alternative to entanglement-based control schemes. However, both methods present significant challenges to existing experimental technologies

    Opportunities for improving recognition of coastal wetlands in global ecosystem assessment frameworks

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    Vegetated coastal wetlands, including seagrass, saltmarsh and mangroves, are threatened globally, yet the need to avert these losses is poorly recognized in international policy, such as in the Convention on Biological Diversity and the United Nations (UN) Sustainable Development Goals. Identifying the impact of overlooking coastal wetlands in ecosystem assessment frameworks could help prioritize research efforts to fill these gaps. Here, we examine gaps in the recognition of coastal wetlands in globally applicable ecosystem assessments. We address both shortfalls in assessment frameworks when it comes to assessing wetlands, and gaps in data that limit widespread application of assessments. We examine five assessment frameworks that track fisheries, greenhouse gas emissions, ecosystem threats, and ecosystem services. We found that these assessments inform management decisions, but that the functions provided by coastal wetlands are incompletely represented. Most frameworks had sufficient complexity to measure wetland status, but limitations in data meant they were incompletely informed about wetland functions and services. Incomplete representation of coastal wetlands may lead to them being overlooked by research and management. Improving the coverage of coastal wetlands in ecosystem assessments requires improving global scale mapping of wetland trends, developing global-scale indicators of wetland function and synthesis to quantitatively link animal population dynamics to wetland trends. Filling these gaps will help ensure coastal wetland conservation is properly informed to manage them for the outstanding benefits they bring humanity

    Computer-assisted detection of pulmonary embolism: evaluation of pulmonary CT angiograms performed in an on-call setting

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    Item does not contain fulltextPURPOSE: The purpose of the study was to assess the stand-alone performance of computer-assisted detection (CAD) for evaluation of pulmonary CT angiograms (CTPA) performed in an on-call setting. METHODS: In this institutional review board-approved study, we retrospectively included 292 consecutive CTPA performed during night shifts and weekends over a period of 16 months. Original reports were compared with a dedicated CAD system for pulmonary emboli (PE). A reference standard for the presence of PE was established using independent evaluation by two readers and consultation of a third experienced radiologist in discordant cases. RESULTS: Original reports had described 225 negative studies and 67 positive studies for PE. CAD found PE in seven patients originally reported as negative but identified by independent evaluation: emboli were located in segmental (n = 2) and subsegmental arteries (n = 5). The negative predictive value (NPV) of the CAD algorithm was 92% (44/48). On average there were 4.7 false positives (FP) per examination (median 2, range 0-42). In 72% of studies or=10 FP. CONCLUSION: CAD identified small emboli originally missed under clinical conditions and found 93% of the isolated subsegmental emboli. On average there were 4.7 FP per examination.1 april 201

    Selective culture enrichment and sequencing of feces to enhance detection of antimicrobial resistance genes in third-generation cephalosporin resistant Enterobacteriaceae

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    Metagenomic sequencing of fecal DNA can usefully characterise an individual’s intestinal resistome but is limited by its inability to detect important pathogens that may be present at low abundance, such as carbapenemase or extended-spectrum beta-lactamase producing Enterobacteriaceae. Here we aimed to develop a hybrid protocol to improve detection of resistance genes in Enterobacteriaceae by using a short period of culture enrichment prior to sequencing of DNA extracted directly from the enriched sample. Volunteer feces were spiked with carbapenemase-producing Enterobacteriaceae and incubated in selective broth culture for 6 hours before sequencing. Different DNA extraction methods were compared, including a plasmid extraction protocol to increase the detection of plasmid-associated resistance genes. Although enrichment prior to sequencing increased the detection of carbapenemase genes, the differing growth characteristics of the spike organisms precluded accurate quantification of their concentration prior to culture. Plasmid extraction increased detection of resistance genes present on plasmids, but the effects were heterogeneous and dependent on plasmid size. Our results demonstrate methods of improving the limit of detection of selected resistance mechanisms in a fecal resistome assay, but they also highlight the difficulties in using these techniques for accurate quantification and should inform future efforts to achieve this goa

    Body Shaping and Volume Restoration: The Role of Hyaluronic Acid

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    Driven by the rising popularity of minimally invasive techniques, the demand for cosmetic procedures is increasing. Cosmetic body-shaping procedures can be categorized into those that remove tissue and those that add volume. This review focuses on the latter of these categories, particularly on the use of resorbable hyaluronic acid gels specifically developed for minimally invasive volume enhancement. Pilot studies of hyaluronic acid involving its injection to contour various body deformities and its recent use in female breast augmentation are discussed. Injectable hyaluronic acid is effective and well tolerated. It represents an attractive treatment option for volume restoration or augmentation by providing predictable long-lasting results after minimally invasive administration. Alternative treatment options for volume enhancement also are summarized including fat transfer, silicone implants, and the use of injectable nonresorbable products such as silicone, polyalkylimide, and polyacrylamide gels. As patients continue to opt for nonsurgical procedures that offer predictable results, the development of minimally invasive products such as hyaluronic acid is increasingly important

    Characterization of Parameters Required for Effective Use of Tamoxifen-Regulated Recombination

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    Conditional gene targeting using the Cre-loxp system is a well established technique in numerous in vitro and in vivo systems. Ligand regulated forms of Cre have been increasingly used in these applications in order to gain temporal and spatial control over conditional targeting. The tamoxifen-regulated Cre variant mer-Cre-mer (mCrem) is widely utilized because of its reputation for tight regulation in the absence of its tamoxifen ligand. In the DT40 chicken B cell line, we generated an mCrem-based reversible switch for conditional regulation of a transgene, and in contrast with previous work, observed significant constitutive activity of mCrem. This prompted us to use our system for analysis of the parameters governing tamoxifen-regulated mCrem recombination of a genomic target. We find that robust mCrem expression correlates with a high level of tamoxifen-independent Cre activity, while clones expressing mCrem at the limit of western blot detection exhibit extremely tight regulation. We also observe time and dose-dependent effects on mCrem activity which suggest limitations on the use of conditional targeting approaches for applications which require tight temporal coordination of Cre action within a cell population
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