49 research outputs found

    Volumetric and Viscosity Properties of MgSO<sub>4</sub>/CuSO<sub>4</sub> in Sucrose + Water Solutions at 298.15 K

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    Apparent molar volumes VΦ,E for MgSO4, CuSO4, Na2SO4, NaCl, MgCl2, and CuCl2 and viscosity B-coefficients for MgSO4/CuSO4 in sucrose + water solutions were determined from density and viscosity measurements at 298.15 K. Infinite-dilution apparent molar volumes VΦ,E0 for Na2SO4, NaCl, MgCl2, and CuCl2 in sucrose + water solutions were evaluated. The VΦ,E0 values for MgSO4 and CuSO4 were obtained by an additivity method. An empirical equation VΦ,E = ∑i=0n ∑j=0m Pij miSmj/2E was used to relate the apparent molar volumes of MgSO4/CuSO4 to the molalities (mE and mS). Volumetric interaction parameters were also obtained from the transfer volumes of electrolytes. Activation energies ΔμE0⧺ were also calculated from the viscosity B-coefficients. Results show that the values of standard transfer volumes, viscosity B-coefficients, and ΔμE0⧺ are positive and increase usually with increasing sucrose content

    Individual Ionic Activity Coefficients of Sodium Halides in Glucose−Water Solutions at 298.15 K

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    The individual ionic activity coefficients of sodium halides (NaX) in the NaX−glucose−water solutions were experimentally determined at 298.15 K by using ion selective electrodes. The individual ionic activity coefficients evaluated by the use of the extended DebyeHückel equation are in agreement with those by the Pitzer equation. In addition, dependences of the individual ionic activity coefficients upon molalities, properties of cations and anions are discussed

    Conductivities of CuSO<sub>4</sub> and CdSO<sub>4</sub> in Sucrose/Trehalose−Water Systems at 298.15 K

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    The conductivities of CuSO4 and CdSO4 in aqueous disaccharide (sucrose and trehalose) solutions were measured together with the densities, viscosities, and relative dielectric constants of the aqueous disaccharide solutions at 298.15 K. The limiting molar conductivities (Λ0) and association constants (KA) were derived from the Lee−Wheaton conductivity equation. From the obtained conductivity data, the values of the Walden product (Λ0η0) were also calculated. The ion−ion and ion−solvent interactions are discussed

    Presentation_1_Multimodal ultrasonography findings of extramammary granular cell tumors: Two case reports.ppt

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    Extramammary masses are infrequently encountered in breast examinations. They may occur in the chest wall and axilla as neighbors of the breast. It is important to determine the nature of the lesion. However, some benign tumors, such as granular cell tumors (GCTs), also show malignant characteristics, which leads to misdiagnosis. To the best of our knowledge, multimodal ultrasound features of GCT have not been elucidated. We report two cases of women with GCTs encountered upon breast cancer screening; the tumor was not located in breast tissue. The first patient was a 37-year-old woman who presented with a slow-growing mass in the right breast and the GCT was located in the pectoralis major muscle. The second patient was a 52-year-old woman who presented with a palpable left axillary mass and the GCT was located in the axilla. Mammography failed to detect the masses in the two patients upon breast cancer screening. However, two-dimensional ultrasonography revealed a solid heterogeneous hypoechoic mass. Shear wave elastography showed that the masses had an increased hardness compared with the surrounding tissue. Further contrast-enhanced ultrasonography showed that the contrast patterns of the two masses were different. In case one, contrast-enhanced ultrasonography showed an inhomogeneous annular high enhancement, and the dynamic curve showed rapid enhancement and regression. In case two, contrast enhanced ultrasound showed slight enhancement around the lesion but no enhancement inside. Postoperative pathology confirmed that the GCT was benign in both cases. The patients showed no signs of recurrence at the 2-year follow-up. Here, we report two cases and present the multimodal ultrasonography findings of this tumor for the first time. Radiologists and surgeons should be aware of these imaging manifestations and include them in their differential diagnoses.</p

    The increased number of Christian places in each subdistrict (town) of Yiwu over time.

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    Here, we show the growth of Christian places in Yiwu city in four time periods from 1990 to 2018.</p

    Spatial differentiation of factor for physical space environment.

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    (a) the spatial distribution of regression coefficients of transportation convenience; (b) the spatial distribution of regression coefficients of basic service facilities; (c) the spatial distribution of regression coefficients of employment space; (d) the spatial distribution of regression coefficients of inhabitation space. Source: created by the author based on the base map of Yiwu which comes from the Open Street Map (OSM) geographic data platform (https://www.openstreetmap.org/).</p

    The characteristic variables that influence spatial differentiation of Christian places.

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    The characteristic variables that influence spatial differentiation of Christian places.</p

    Spatial differentiation of factor for socioeconomic attributes.

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    (a) the spatial distribution of regression coefficients of population density; (b) the spatial distribution of regression coefficients of population ageing; (c) the spatial distribution of regression coefficients of population mobility; (d) the spatial distribution of regression coefficients of overall development level. Source: created by the author based on the base map of Yiwu which comes from the Open Street Map (OSM) geographic data platform (https://www.openstreetmap.org/).</p

    Calculation result statistics of the GWR model for socioeconomic attributes.

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    Calculation result statistics of the GWR model for socioeconomic attributes.</p

    Research scope and layers of division.

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    With the average central population of Yiwu city as the center, the study area was divided into three circles: core area, urban-rural integration area and rural area. Source: created by the author based on the base map of Yiwu which comes from the Open Street Map (OSM) geographic data platform (https://www.openstreetmap.org/).</p
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