83,227 research outputs found

    wde0924/X-STILT: X-STILT (for Geoscientific Model Development 2018)

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    <p>This release includes the model code of X-STILT built on STILT (Lin et al., 2003) and STILT-R version 2 (Fasoli et al., 2018) and bookmarks the code version documented in the following manuscript:</p> <p>Wu, D., Lin, J. C., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian Approach Towards Extracting Signals of Urban CO2 Emissions from Satellite Observations of Atmospheric Column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1.1"), Geosci. Model Dev. Discuss., <a href="https://doi.org/10.5194/gmd-2018-123">https://doi.org/10.5194/gmd-2018-123</a>, in review, 2018.</p> <p>Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</p&gt

    wde0924/X-STILT: X-STILT (for Geoscientific Model Development 2018)

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    <p>This release includes the latest model code of X-STILT built on STILT (Lin et al., 2003) and STILT-R version 2 (Fasoli et al., 2018) and bookmarks the code version documented in the following manuscript:</p> <p>Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian Approach Towards Extracting Signals of Urban CO2 Emissions from Satellite Observations of Atmospheric Column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1"), Geosci. Model Dev. Discuss., <a href="https://doi.org/10.5194/gmd-2018-123">https://doi.org/10.5194/gmd-2018-123</a>, accepted, 2018.</p> <p><strong>Please refer to the latest updates on <a href="http://github.com/wde0924/X-STILT">https://github.com/uataq/X-STILT</a>. Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</strong></p&gt

    uataq/X-STILT: X-STILT

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    <p>This release includes the model code of X-STILT built on STILT-R version 2 (Fasoli et al., 2018) and STILT (Lin et al., 2003). Important changes from the last version v1.3 include X-STILT code refactoring with STILTv2 being a submodule along with few optimizations and minor changes:</p> <ul> <li> <p>Refactor transport error code using the latest X-STILT framework (see <code>run_xstilt</code>). Specifically, move the traj-level CO2 calculation (starting with <code>cal.trajfoot.stat()</code>) into <code>before_footprint_xstilt()</code>.</p> </li> <li> <p>Minor bugs/typos fixed (leading to very small impact on the calculation), when 1) weighting traj-level foot for trajec with wind error component (<code>wgt.trajec.footv3</code>) and 2) calculating the traj-level CO2 (<code>cal.trajfoot.stat</code>). Specifically, no AK weighting for <code>endpts.trajfoot.r</code>.</p> </li> <li> <p>Remove two sections of the code for simplifications, including 1) calculation of lat-int signals or errors in <code>run_xstilt</code> and 2) two scripts for plotting that used to be in ./r/src/plot_scripts.</p> </li> <li> <p>Optimize several functions for trajec-level CO2 calculations (<code>*.trajfoot</code>) to reduce the memory needed.</p> </li> </ul> <p>This version bookmarks the code version documented in the following manuscript: Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1"), Geosci. Model Dev., 11, 4843-4871, <a href="https://doi.org/10.5194/gmd-11-4843-2018">https://doi.org/10.5194/gmd-11-4843-2018</a>, 2018.</p> <p>Please refer to https://github.com/uataq/X-STILT for the latest updates. Please contact Dien Wu ([email protected]) if you have any questions, comments, and suggestions.</p&gt

    Observation of J/ψJ / ψ Electromagnetic Dalitz Decays to X(1835),X(2120)X ( 1835 ) , X ( 2120 ), and X(2370)X ( 2370 )

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    Using a sample of about 10^{10} J/ψ events collected at a center-of-mass energy sqrt[s]=3.097 GeV with the BESIII detector, the electromagnetic Dalitz decays J/ψ→e^{+}e^{-}π^{+}π^{-}η^{'}, with η^{'}→γπ^{+}π^{-} and η^{'}→π^{+}π^{-}η, have been studied. The decay J/ψ→e^{+}e^{-}X(1835) is observed with a significance of 15σ, and also an e^{+}e^{-} invariant-mass dependent transition form factor of J/ψ→e^{+}e^{-}X(1835) is presented for the first time. The intermediate states X(2120) and X(2370) are also observed in the π^{+}π^{-}η^{'} invariant-mass spectrum with significances of 5.3σ and 7.3σ. The corresponding product branching fractions for J/ψ→e^{+}e^{-}X, X→π^{+}π^{-}η^{'} [X=X(1835), X(2120), and X(2370)] are reported

    uataq/X-STILT: X-STILT for TROPOMI and OCO-2/3

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    Latest release on X-STILT in interpreting TROPOMI (use with cautions for NO2, no chemistry implemented yet) and OCO-2/3 data. README can be found at https://github.com/uataq/X-STILT/blob/master/README.md. Please always access the development version from https://github.com/uataq/X-STILT. Versions on Zenodo can be outdated. Please refer to the STILT tutorial https://github.com/uataq/stilt, if you are not familiar with our Lagrangian system. Please contact Dien Wu ([email protected]) OR preferrably submit a pull request on GitHub (https://github.com/uataq/X-STILT) describing your specific error messages. This version (v1.5) bookmarks the code version documented in the following manuscripts: Wu, D., Lin, J. C., Fasoli, B., Oda, T., Ye, X., Lauvaux, T., Yang, E. G., and Kort, E. A.: A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model ("X-STILT v1"), Geosci. Model Dev., 11, 4843-4871, https://doi.org/10.5194/gmd-11-4843-2018, 2018. Wu, D., Liu, J., Wennberg, P. O., Palmer, P. I., Nelson, R. R., Kiel, M., and Eldering, A.: Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1029, accepted, 2022

    Lin, C. Q X

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    Double Exchange Interaction Between Mn3+ and Ru4+ Ions in La1-x Sr (x) Mn1-x Ru (x) O-3

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    To study the magnetic interaction between Mn3+ and Ru4+, we designed and synthesized a series of samples La1-x Sr (x) Mn1-x Ru (x) O-3 (0 a parts per thousand currency signx a parts per thousand currency sign 0.80), in which Mn and Ru ions remain as Mn3+ and Ru4+, respectively. The structural, magnetic, and transport properties of polycrystalline La1-x Sr (x) Mn1-x Ru (x) O-3 (0 a parts per thousand currency signx a parts per thousand currency sign 0.80) were investigated. Measurements of magnetization show that Ru4+ substitution induces and enhances ferromagnetism as xa parts per thousand currency sign 0.30. According to measurements of electronic conductivity, all doping samples show the insulating behaviors without metal-insulation transition. However, with increasing Ru4+ substitution, resistivity decreases and a shoulder appears in the rho(T) curves at around corresponding Curie temperature for 0.10 a parts per thousand currency sign x a parts per thousand currency sign 0.40. A large magnetoresistance effect is also observed in La0.60Sr0.40Mn0.60Ru0.40O3. All these phenomena is confirmed to be related with the double exchange interaction between Mn3+ and Ru4+ ions

    How Design Thinking Reflect on the Fashion Design System in Italian Design Curriculum

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    Take the workshop of fashion systematic design curriculum as an example. The paper presents the process of nurturing and training of "design thinking," thus revealing the approach that top design schools cultivate talents that acquire comprehensive and practical design abilities

    Differences of size and shape of active and inactive X-chromosome domains in human amniotic fluid cell nuclei

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    It is a widely held belief that the inactive X-chromosome (Xi) in female cell nuclei is strongly condensed as compared to the largely decondensed active X-chromosome (Xa). We have reconsidered this problem and painted X-chromosome domains in nuclei of subconfluent, female and male human amniotic fluid cell cultures (46, XX and 46, XY) by chromosomal in situ suppression (CISS) hybridization with biotinylated human X-chromosome specific library DNA. FITC-conjugated avidin was used for probe detection and nuclei were counterstained with propidium iodide (PI). The shape of these nuclei resembling flat ellipsoids or elliptical cylinders makes them suitable for both two-dimensional (2D) and three-dimensional (3D) analyses. 2D analyses of Xi- and Xa-domains were performed in 34 female cell nuclei by outlining of the painted domains using a camera lucida. Identification of the sex chromatin body in DAPI-stained nuclei prior to CISS-hybridization was confirmed by its colocalization with one of the two painted X-domains. In 31 of the 34 nuclei the area AXi for the inactive X-domain was smaller than the area AXa for the active domain (mean ratio AXa/AXi = 1.9 ± 0.8 SD, range 1.0-4.3). The signed rank test showed a highly significant (P r(Xi) demonstrating a generally more elongated structure of Xa. For 3D analysis a confocal scanning laser fluorescence microscope (CSLFM) was used. Ten to 20 light optical sections (PI-image, FITC-image) were registered with equal spacings (approx. 0.4 m). A thresholding procedure was applied to determine the PI-labeled nuclear and FITC-labeled X-domain areas in each section. Estimated slice volumes were used to compute total nuclear and X-domain volumes. In a series of 35 female nuclei most domains extended from the top to the bottom nuclear sections. The larger of the two X-chromosome domains comprised (3.7 ± 1.7 S.D.)% of the nuclear volume. A mean ratio of 1.2 ± 0.2 SD (range 1.1-2.3) was found for the volumes of the larger and the smaller X-domains in these female nuclei. In a series of 27 male amniotic fluid cell nuclei the relative X-chromosome domain volume comprised (4.0 ± 2.6 S.D.)%. These findings indicate that differences in the 3D expansion of active and inactive X-chromosome domains are less pronounced than previously thought. A current model suggests that chromosome domains consist of a compact core surrounded by loosely coiled outer chromatin fiber loops. The latter fraction may be considerably larger in Xa- as compared to Xi-domains. We suggest that the interactive outlining procedure used in the 2D analyses included the loosely structured domain periphery more accurately, while the threshold algorithm applied to light optical sections delineated the more compact core of the domains, leading to smaller and more similar volume estimates of Xa and Xi. Present limitations of nuclear and chromosome domain volume measurements using confocal laser scanning microscopy are discussed
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