5,208 research outputs found

    Enhanced heat capacity and a new temperature instability in superfluid He-4 in the presence of a constant heat flux near T-lambda

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    We present the first experimental evidence that the heat capacity of superfluid 4He, at temperatures very close to the lambda point Tλ, is enhanced by a constant heat flux Q. The heat capacity at constant Q, CQ, is predicted to diverge at a temperature Tc(Q)<Tλ at which superflow becomes unstable. In agreement with previous measurements, we find that dissipation enters our cell at a temperature, TDAS(Q), below the theoretical value, Tc(Q). We argue that TDAS(Q) can be accounted for by a temperature instability at the cell wall, and is therefore distinct from Tc(Q). The excess heat capacity we measure has the predicted scaling behavior as a function of T and Q, but it is much larger than predicted by current theory

    Fat intake modifies vascular responsiveness and receptor expression of vasoconstrictors: Implications for diet-induced obesity

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    Objective: Angiotensin II (Ang II), endothelin-1 (ET-1) and reactive oxygen species (ROS) have been implicated in the development of pathologic changes associated with obesity including hypertension and atherosclerosis. The aim of this study was to investigate the effects of dietary fat content on vasoreactivity and receptor expression at the level of gene and protein expression. Methods: C57BL/6 mice were fed diets of normal (Control, 12.3% kcal from fat), high (HF, 41% kcal from fat) and very high (VHF, 58% kcal from fat) fat content for 15weeks. Glucose tolerance tests were performed, and aortic rings were exposed to ET-1 (0.01-300nM) and Ang II (100nM) in the presence of l-nitro-arginine-methyl ester (l-NAME; 300ΌM). Gene and protein expressions of angiotensin and endothelin receptors were examined by real-time PCR and immunoblotting, respectively. The effects of diet on responses to acetylcholine (ACh 0.1-300ΌM), in the absence or presence of l-NAME, and to exogenous ROS/·OH were also investigated. Results: Both high fat diets similarly impaired glucose tolerance (P<0.05). Increasing dietary fat augmented contractions to Ang II in a step-wise manner (P<0.05). Conversely, increasing dietary fat had no effect on contractions to ET-1. Exposure to ROS/·OH resulted in a rapid vasodilation that was markedly augmented in a step-wise manner with increasing dietary fat (P<0.05). Endothelium-dependent relaxation to ACh was unaffected whereas vasoconstriction to high concentrations of ACh was enhanced in VHF animals (P<0.05 vs. control). Gene expression of the AT1B receptor was increased in the aorta of VHF mice, and aortic ETA receptor protein expression was increased after both high fat diets. Conclusions: These findings demonstrate that changes in dietary fat intake modulate vascular reactivity in response to Ang II and ROS, as well as expression of vascular angiotensin and endothelin receptors. Dietary fat intake may thereby directly affect cardiovascular ris

    Controlling trapping potentials and stray electric fields in a microfabricated ion trap through design and compensation

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    Recent advances in quantum information processing with trapped ions have demonstrated the need for new ion trap architectures capable of holding and manipulating chains of many (>10) ions. Here we present the design and detailed characterization of a new linear trap, microfabricated with scalable complementary metal-oxide-semiconductor (CMOS) techniques, that is well-suited to this challenge. Forty-four individually controlled DC electrodes provide the many degrees of freedom required to construct anharmonic potential wells, shuttle ions, merge and split ion chains, precisely tune secular mode frequencies, and adjust the orientation of trap axes. Microfabricated capacitors on DC electrodes suppress radio-frequency pickup and excess micromotion, while a top-level ground layer simplifies modeling of electric fields and protects trap structures underneath. A localized aperture in the substrate provides access to the trapping region from an oven below, permitting deterministic loading of particular isotopic/elemental sequences via species-selective photoionization. The shapes of the aperture and radio-frequency electrodes are optimized to minimize perturbation of the trapping pseudopotential. Laboratory experiments verify simulated potentials and characterize trapping lifetimes, stray electric fields, and ion heating rates, while measurement and cancellation of spatially-varying stray electric fields permits the formation of nearly-equally spaced ion chains.Comment: 17 pages (including references), 7 figure

    Sustainable Polymers: New 4-H STEM Curricula

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    There are many environmental issues surrounding the global production and use of plastics. Three science curricula (Grades K-2, 3-5, and 6-8) were developed to introduce youth to the past, present, and future of plastics. Designed using research-based methods and grounded in effective science pedagogy, the curricula provide young people opportunities to explore viable alternatives to plastics and develop knowledge and skills necessary to help mitigate environmental impacts associated with the production, use and disposal of plastics. Evaluation results demonstrated that youth improved their understanding of polymers and intention to help reduce impacts of plastics on the environment

    Intentional left subclavian artery coverage during thoracic endovascular aortic repair for traumatic aortic injury

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    BackgroundThoracic endovascular aortic repair (TEVAR) is widely used for treatment of traumatic aortic injury (TAI). Stent graft coverage of the left subclavian artery (LSA) may be required in up to 40% of patients. We evaluated the long-term effects of intentional LSA coverage (LSAC) on symptoms and return to normal activity in TAI patients compared with a similarly treated group whose LSA was uncovered (LSAU).MethodsPatients were identified from a prospective institutional trauma registry between September 2005 and July 2012. TAI was confirmed using computed tomography angiography. The electronic medical records, angiograms, and computed tomography angiograms were reviewed in a retrospective fashion. In-person or telephone interviews were conducted using the SF-12v2 (Quality Metrics, Lincoln, RI) to assess quality of life. An additional questionnaire was used to assess specific LSA symptoms and the ability to return to normal activities. Data were analyzed by Spearman rank correlation and multiple linear and logistic regression analysis with appropriate transformations using SAS software (SAS Institute, Cary, NC).ResultsDuring the study period, 82 patients (57 men; mean age 40.5 ± 20 years, mean Injury Severity Score, 34 ± 10.0) underwent TEVAR for treatment of TAI. Among them, LSAC was used in 32 (39.5%) and LSAU in 50. A group of the LSAU patients (n = 22) served as matched controls in the analysis. We found no statistically significant difference in SF-12v2 physical health scores (ρ = −0.08; P = .62) between LSAC and LSAU patients. LSAC patients had slightly better mental health scores (ρ = 0.62; P = .037) than LSAU patients. LSAC patients did not have an increased likelihood of experiencing pain (ρ = −0.0056; P = .97), numbness (ρ = −0.12; P = .45), paresthesia (ρ = −0.11; P = .48), fatigue (ρ = −0.066; P = .69), or cramping (ρ = −0.12; P = .45). We found no difference between groups in the ability to return to activities. The mean follow-up time was 3.35 years. Six LSAC patients (19%) died during the follow-up period of unrelated causes.ConclusionsIntentional LSAC during TEVAR for TAI appears safe, without compromising mental or physical health outcomes. Furthermore, LSAC does not increase the long-term risk of upper extremity symptoms or impairment of normal activities

    MetaCAM: Ensemble-Based Class Activation Map

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    The need for clear, trustworthy explanations of deep learning model predictions is essential for high-criticality fields, such as medicine and biometric identification. Class Activation Maps (CAMs) are an increasingly popular category of visual explanation methods for Convolutional Neural Networks (CNNs). However, the performance of individual CAMs depends largely on experimental parameters such as the selected image, target class, and model. Here, we propose MetaCAM, an ensemble-based method for combining multiple existing CAM methods based on the consensus of the top-k% most highly activated pixels across component CAMs. We perform experiments to quantifiably determine the optimal combination of 11 CAMs for a given MetaCAM experiment. A new method denoted Cumulative Residual Effect (CRE) is proposed to summarize large-scale ensemble-based experiments. We also present adaptive thresholding and demonstrate how it can be applied to individual CAMs to improve their performance, measured using pixel perturbation method Remove and Debias (ROAD). Lastly, we show that MetaCAM outperforms existing CAMs and refines the most salient regions of images used for model predictions. In a specific example, MetaCAM improved ROAD performance to 0.393 compared to 11 individual CAMs with ranges from -0.101-0.172, demonstrating the importance of combining CAMs through an ensembling method and adaptive thresholding.Comment: 9 page
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