20 research outputs found

    Classification when majority are from different populations.

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    <p>Classification when majority are from different populations.</p

    Top 20 important variables in terms of mean AUC decrease.

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    <p>Top 20 important variables in terms of mean AUC decrease.</p

    AUC change with LLRE using different <i>k</i>.

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    <p>AUC change with LLRE using different <i>k</i>.</p

    Performance comparison in terms of AUC.

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    <p>Performance comparison in terms of AUC.</p

    DNA Origami Compliant Nanostructures with Tunable Mechanical Properties

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    DNA origami enables fabrication of precise nanostructures by programming the self-assembly of DNA. While this approach has been used to make a variety of complex 2D and 3D objects, the mechanical functionality of these structures is limited due to their rigid nature. We explore the fabrication of deformable, or compliant, objects to establish a framework for mechanically functional nanostructures. This compliant design approach is used in macroscopic engineering to make devices including sensors, actuators, and robots. We build compliant nanostructures by utilizing the entropic elasticity of single-stranded DNA (ssDNA) to locally bend bundles of double-stranded DNA into bent geometries whose curvature and mechanical properties can be tuned by controlling the length of ssDNA strands. We demonstrate an ability to achieve a wide range of geometries by adjusting a few strands in the nanostructure design. We further developed a mechanical model to predict both geometry and mechanical properties of our compliant nanostructures that agrees well with experiments. Our results provide a basis for the design of mechanically functional DNA origami devices and materials

    Total proteins from serum of normal control subjects and UC patients were analyzed by 2-DE.

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    <p>The proteins were separated by IEF (pH 3–10) and 10% SDS-PAGE and subsequently processed with silver staining. The spot marked with white arrow represented HSF2. <b>A</b>: Total proteins from serum of normal controls that were analyzed by 2-DE. <b>B</b>: Total proteins from serum of UC patients that were analyzed by 2-DE.</p

    The secretion of IL-1β and TNF-α in Caco-2 cells after enhanced expression or siRNA of HSF2.

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    <p>A: The HSF2 expression levels after HSF2 RNA interferenc and HSF2-FLAG recombinant plasmid transfection, β-actin as an endogenous control. B: The productions of IL-1β in Caco-2 cells supernates stimulated or not by LPS (50 ng/ml). C: The productions of TNF-α in Caco-2 cells supernates stimulated or not by LPS (50 ng/ml). *, p<0.05;**, p<0.01.</p

    ECG-derived spatial QRS-T angle is associated with ICD implantation, mortality and heart failure admissions in patients with LV systolic dysfunction

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    <div><p>Background</p><p>Increased spatial QRS-T angle has been shown to predict appropriate implantable cardioverter defibrilIator (ICD) therapy in patients with left ventricular systolic dysfunction (LVSD). We performed a retrospective cohort study in patients with left ventricular ejection fraction (LVEF) 31–40% to assess the relationship between the spatial QRS-T angle and other advanced ECG (A-ECG) as well as echocardiographic metadata, with all-cause mortality or ICD implantation for secondary prevention.</p><p>Methods</p><p>534 patients ≤75 years of age with LVEF 31–40% were identified through an echocardiography reporting database. Digital 12-lead ECGs were retrospectively matched to 295 of these patients, for whom echocardiographic and A-ECG metadata were then generated. Data mining was applied to discover novel ECG and echocardiographic markers of risk. Machine learning was used to develop a model to predict possible outcomes.</p><p>Results</p><p>49 patients (17%) had events, defined as either mortality (n = 16) or ICD implantation for secondary prevention (n = 33). 72 parameters (58 A-ECG, 14 echocardiographic) were univariately different (p<0.05) in those with vs. without events. After adjustment for multiplicity, 24 A-ECG parameters and 3 echocardiographic parameters remained different (p<2x10<sup>-3</sup>). These included the posterior-to-leftward QRS loop ratio from the derived vectorcardiographic horizontal plane (previously associated with pulmonary artery pressure, p = 2x10<sup>-6</sup>); spatial mean QRS-T angle (134 vs. 112°, p = 1.6x10<sup>-4</sup>); various repolarisation vectors; and a previously described 5-parameter A-ECG score for LVSD (p = 4x10<sup>-6</sup>) that also correlated with echocardiographic global longitudinal strain (R<sup>2</sup> = - 0.51, P < 0.0001). A spatial QRS-T angle >110° had an adjusted HR of 3.4 (95% CI 1.6 to 7.4) for secondary ICD implantation or all-cause death and adjusted HR of 4.1 (95% CI 1.2 to 13.9) for future heart failure admission. There was a loss of complexity between A-ECG and echocardiographic variables with an increasing degree of disease.</p><p>Conclusion</p><p>Spatial QRS-T angle >110° was strongly associated with arrhythmic events and all-cause death. Deep analysis of global ECG and echocardiographic metadata revealed underlying relationships, which otherwise would not have been appreciated. Delivered at scale such techniques may prove useful in clinical decision making in the future.</p></div
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