2,809 research outputs found

    Evaluation of Virtual Measurements of Scanned Dental Impressions

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    Introduction: Digital models have been proposed as substitutes for plaster models. Dental arch impression scanning is a rapid and practical approach for digital model obtainment; however, few studies have accessed the accuracy of the method. This study verified the accuracy of virtual measurements obtained with the scanner Ortho Insight 3D, version 5.0 (Motionview Software, LLC, Chattanooga, Tennessee, USA). Materials And Methods: Total of 26 plaster models belonging to the Bahia Federal University Orthodontic postgraduation program were divided into three groups: G1 (plaster models); G2 (alginate impressions scan) and G3 (plaster models scan). Virtual measurements were compared to the manual by evaluating upper intercanine and intermolar distances and the antero posterior distance between upper left canine and upper left molar. Paired Student t and Lin agreement (5% of significance level) were employed for the statistical analysis. Results: Of the evaluated measures, the mean difference ranged from 0.48mm to 0.55mm when compared G2 and G1. The mean difference ranged from 0.6mm to 0.65mm between G3 and G1 groups. Comparing the groups G2 and G3 to G1, it was found statistically significant differences between all variables (p 0.99) for all parameters evaluated. Conclusion: Despite having existed significant differences between the virtual and physical approaches, substantial and almost perfect agreement between them allow us to suggest that there is accuracy of virtual images obtained from scanned impressions in alginate using the laser scanner Ortho Insight 3D

    A review of plant-flow interactions on salt marshes: the importance of vegetation structure and plant mechanical characteristics

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    Observations of plant-flow interactions on salt marshes have revealed a highly complex process dominated by the tightly coupled effects of plant characteristics and hydrodynamic conditions. This paper highlights the importance of vegetation structures such as plant density and height, as well as their spatial variability and mechanical properties including flexibility, upon energy dissipation and flow modification. Many field, laboratory and modelling studies which attempt to predict flow dissipation or improve our understanding of plant-flow interactions use simplified structural measures of salt marsh vegetation or artificial representations. These simplifications neglect important plant and canopy elements and are unlikely to be truly representative of their natural counterparts. Such approaches limit our understanding of plant-flow interactions and potentially compromise the predictive accuracy and application of numerical flow models. It is important therefore that improved techniques to measure vegetation structure are adopted in order to better define the key relationships between measurable plant characteristics and drag-relevant plant properties.This is the author accepted manuscript. The final version is available from Wiley via http://dx.doi.org/10.1002/wat2.110

    Three-dimensional simulation for fast forward flight of a calliope hummingbird

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    We present a computational study of flapping-wing aerodynamics of a calliope hummingbird (Selasphorus calliope) during fast forward flight. Three-dimensional wing kinematics were incorporated into the model by extracting time-dependent wing position from high-speed videos of the bird flying in a wind tunnel at 8.3 m s−1. The advance ratio, i.e. the ratio between flight speed and average wingtip speed, is around one. An immersed-boundary method was used to simulate flow around the wings and bird body. The result shows that both downstroke and upstroke in a wingbeat cycle produce significant thrust for the bird to overcome drag on the body, and such thrust production comes at price of negative lift induced during upstroke. This feature might be shared with bats, while being distinct from insects and other birds, including closely related swifts

    Examination and measurement of coping among adolescents with spinal cord injury

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    Objectives: To describe coping strategy use in adolescents with spinal cord injury (SCI), to explore the underlying factor structure of a measure of coping among adolescents with SCI and to assess relationships between coping and psychosocial outcomes. Setting: Multiple pediatric SCI centers in the United States. Methods: One hundred and eighty-two participants aged 13–17 years who experienced an SCI completed measures including the Kidcope, Children’s Depression Inventory, Revised Children’s Manifest Anxiety Scale and the Pediatric Quality of Life Inventory. Results: Participants reported that cognitive restructuring and resignation are the most used coping strategies, whereas social support, emotional regulation (calming) and cognitive restructuring are the most effective coping strategies. An exploratory factor analysis revealed that a three-factor solution provided the most parsimonious model for the relationships between the different coping strategies. However, only one of the three factors had acceptable internal consistency. This factor comprised escape-oriented coping strategies or an avoidant approach to coping with the sequelae of SCI. After controlling for demographic/injury-related factors, higher scores on the escape-oriented factor were associated with the lower quality of life and higher levels of depression and anxiety symptomatology. Conclusion: Escape-oriented coping is associated with maladaptive psychosocial outcomes in adolescents with SCI. These adolescents report that active coping strategies are most effective in reducing SCI-related distress. Coping strategy use may mediate psychosocial outcomes in adolescents with SCI and represent an intervention target in adolescents who overly rely on escape-oriented coping

    MuSR method and tomographic probability representation of spin states

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    Muon spin rotation/relaxation/resonance (MuSR) technique for studying matter structures is considered by means of a recently introduced probability representation of quantum spin states. A relation between experimental MuSR histograms and muon spin tomograms is established. Time evolution of muonium, anomalous muonium, and a muonium-like system is studied in the tomographic representation. Entanglement phenomenon of a bipartite muon-electron system is investigated via tomographic analogues of Bell number and positive partial transpose (PPT) criterion. Reconstruction of the muon-electron spin state as well as the total spin tomography of composed system is discussed.Comment: 20 pages, 4 figures, LaTeX, submitted to Journal of Russian Laser Researc

    Pathogenesis of aerosolized Eastern Equine Encephalitis virus infection in guinea pigs

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    Mice and guinea pigs were experimentally exposed to aerosols containing regionally-distinct strains (NJ1959 or ArgM) of eastern equine encephalitis virus (EEEV) at two exclusive particle size distributions. Mice were more susceptible to either strain of aerosolized EEEV than were guinea pigs; however, clinical signs indicating encephalitis were more readily observed in the guinea pigs. Lower lethality was observed in both species when EEEV was presented at the larger aerosol distribution (> 6 μm), although the differences in the median lethal dose (LD50) were not significant. Virus isolation and immunohistochemistry indicated that virus invaded the brains of guinea pigs within one day postexposure, regardless of viral strain or particle size distribution. Immunohistochemistry further demonstrated that neuroinvasion occurred through the olfactory system, followed by transneuronal spread to all regions of the brain. Olfactory bipolar neurons and neurons throughout the brain were the key viral targets. The main microscopic lesions in infected guinea pigs were neuronal necrosis, inflammation of the meninges and neuropil of the brain, and vasculitis in the brain. These results indicate that guinea pigs experimentally infected by aerosolized EEEV recapitulate several key features of fatal human infection and thus should serve as a suitable animal model for aerosol exposure to EEEV

    Evaluation of the current knowledge limitations in breast cancer research: a gap analysis

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    BACKGROUND A gap analysis was conducted to determine which areas of breast cancer research, if targeted by researchers and funding bodies, could produce the greatest impact on patients. METHODS Fifty-six Breast Cancer Campaign grant holders and prominent UK breast cancer researchers participated in a gap analysis of current breast cancer research. Before, during and following the meeting, groups in seven key research areas participated in cycles of presentation, literature review and discussion. Summary papers were prepared by each group and collated into this position paper highlighting the research gaps, with recommendations for action. RESULTS Gaps were identified in all seven themes. General barriers to progress were lack of financial and practical resources, and poor collaboration between disciplines. Critical gaps in each theme included: (1) genetics (knowledge of genetic changes, their effects and interactions); (2) initiation of breast cancer (how developmental signalling pathways cause ductal elongation and branching at the cellular level and influence stem cell dynamics, and how their disruption initiates tumour formation); (3) progression of breast cancer (deciphering the intracellular and extracellular regulators of early progression, tumour growth, angiogenesis and metastasis); (4) therapies and targets (understanding who develops advanced disease); (5) disease markers (incorporating intelligent trial design into all studies to ensure new treatments are tested in patient groups stratified using biomarkers); (6) prevention (strategies to prevent oestrogen-receptor negative tumours and the long-term effects of chemoprevention for oestrogen-receptor positive tumours); (7) psychosocial aspects of cancer (the use of appropriate psychosocial interventions, and the personal impact of all stages of the disease among patients from a range of ethnic and demographic backgrounds). CONCLUSION Through recommendations to address these gaps with future research, the long-term benefits to patients will include: better estimation of risk in families with breast cancer and strategies to reduce risk; better prediction of drug response and patient prognosis; improved tailoring of treatments to patient subgroups and development of new therapeutic approaches; earlier initiation of treatment; more effective use of resources for screening populations; and an enhanced experience for people with or at risk of breast cancer and their families. The challenge to funding bodies and researchers in all disciplines is to focus on these gaps and to drive advances in knowledge into improvements in patient care
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