Search results

The total surface area, total pore volume and BJH pore size distribution of all ImIL-SBA-15 nanocomposites decreasing with the increasing amount of ImIL from 393.27 to 354.39 m2/g which indicated that the pore channel and/or surface of SBA-15 were occupied by ImIL without significant reduction of the quality.
The intense diffraction peaks (1 0 0) for the 1.0 ImIL-SBA-15, 2.0 ImIL-SBA-15 and 4.0 ImIL-SBA-15 nanocomposites were shifted slightly toward higher 2θ values (1.00°), implying the reduction of pore diameter of SBA-15 owing to a certain amount of ImIL was trapped inside the mesoporous channels.
The inset shows the corresponding 2D images of scattering patterns for all nanocomposites The data summarized in Table 2 showed the unit-cell parameter decreased from 10.69 nm for SBA-15 to 10.21 nm for ImIL-SBA-15 (ImIL = 1.0, 2.0 and 4.0 mmol).
Table 2 SAXS data of SBA-15 and ImIL-SBA-15 nanocomposites Samples 2θ (º) Intensity of d100 d100 (nm)a q (nm-1) ao (nm)b SBA-15 0.96 14699.95 9.25 0.68 10.69 1.0 ImIL-SBA-15 1.00 18581.54 8.84 0.71 10.21 2.0 ImIL-SBA-15 1.00 17043.37 8.84 0.71 10.21 4.0 ImIL-SBA-15 1.00 16378.77 8.84 0.71 10.21 6.0 ImIL-SBA-15 0.90 34102.71 9.82 0.64 11.34 8.0 ImIL-SBA-15 0.90 12027.37 9.82 0.64 11.34 10.0 ImIL-SBA-15 0.90 8863.01 9.82 0.64 11.34 ad-spacing of the (1 0 0) plane calculated by using the formula of d100 = 2π/q; bhexagonal unit-cell parameter calculated by using the formula of ao = 2 d100 / √ 3 In order to study the microscopic morphology, SBA-15 was further characterized by FESEM.
Siemieniewska, Reporting Physisorption Data for Gas/Solid Systems with Special Reference to the Determination of Surface Area and Porosity.

In the case of very thin sheet, since the fracture is generated at a low strain, there is not enough uniaxial data obtained to be applied in the FE simulation.
The reason for this is that charactering plastic deformation at a large strain values by extrapolating a flow stress curve which is based on insufficient measurement data is highly susceptible to error.
Since material data can be obtained up to a higher strain using the bulge test, it is possible to avoid an excessive extrapolation of the flow stress curve in the numerical analysis [8].
The copper sheet was cold rolled and each thickness (35 and 50 μm) possessed 68% and 50% thickness reduction.
The flow stress curve of very thin copper foil was extrapolated using a linear combination of two approximation models based on relatively sufficient material data by means of the aero-bulge test.

In terms of the environmental factors, the on-site environmental data was collected via field works.
This research used equipment and questionnaire for the data collection.
Data Analysis.
The personal data are as follows: met 58.20-93.00 W/m2 and Iclo 0.35-0.60 clo.
The Demographic Data.

Ø Reduction of its retrogradation.
Li, «Analysis of proteomics data using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane.,» BMC Genomics, 23(1), p. 532, 2022
Li, «The analysis of proteomic data using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane.,» BMC Genomics, 2022
Li, «Analysis of proteomics data using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane.," BMC Genomics, 23(1),, p. 532., 2022
Li, «Proteomic data analysis using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane.,» BMC Genomics, 2022

The data about the grown samples with Si-Sn films with different Sn concentrations (NSn) and the sample A with amorphous silicon film are presented in Table 1.
According to AFM data (not shown), the film surface in sample C has a root-mean-square roughness (σrms) 0.43 nm and a maximum relief deviation up to 2 nm.
Consider the XRD data for the structure and phase composition of two samples with different Sn content in them, for example, samples C and E (Fig. 1).
The absorption coefficient of sample A is about 80-3000 cm-1 in the energy range of 0.2-1.0 eV, which is slightly higher than literature data [11].
However, the film in sample B is mostly amorphous according to XRD data (Fig. 1).

Based on testing data, the paper developed SSHP applying schemes for air-conditioning, heating and hot-water supplying, which can be handy-applied in the urban dwelling community.
The application of urban sewage is very significant for energy-saving and emission-reduction [2,3,4].
Test data were automatic logged by intelligent temperature data logging device.
It is noteworthy that the temperature of sewage in the test is higher than the data provided by reference [1]( 22~25℃).
The reason is that we tested the temperature of the sewage in cesspool in dwelling community in Chongqing in the hottest month and the covering depth of board covered over the cesspool is only 300mm while the data in reference [1] was tested in urban trunk sewer.

However, before achieving prediction using spectra data, the first thing to do is that finding the spectral characteristics of soil heavy metals.
PLSR is a multivariate data analysis technique, which intrinsic feature is subjecting spectral data and other set of variables to a simultaneous Principal Component Analysis (PCA).
This process allows the dimensional reduction needed to address a given problem with no appreciable loss of relevant information, so PLSR has been particularly successful in developing multivariate calibration of spectroscopic data.
Reflectance data were translated from binary to ASCII and exported in batches using ViewspecPro (Analytical Spectral Devices, Inc., Boulder, CO, 80301).
Spectra pre-processing In addition to raw spectra, data were averaged treated using the Savitzky-Golay filter [16], which can be effective in removing noise with other sources [17].

Among the many super plasticizer, polycarboxylate super plasticizer because of its high water reduction rate, good slump, low admixing v olume and no significantly retarding have become a emphasis in the development and application.
Test Process and Data.

The dense network of seismographs deployed in this region recorded ground motion acceleration data with good quality.
During the Wenchuan earthquake, most stations recorded three-component ground motion acceleration data completely except 11 stations, of which the data missed completely or partially.
In this paper, 94 suites of typical three-component data with larger peak ground acceleration and longer duration were chosen to investigate vertical ground motion characteristics of Wenchuan earthquake.
Because more than 90% stations are located in the soil site and all the data are from the Wenchuan earthquake, the influence of magnitude and site condition on Tp were disregarded and the epicentral distance is considered only.
(3) The site condition has some influence on av/ah, and further analysis and research on the influence of site condition and focal mechanism on av/ah will be needed with the accumulating of ground motion data

The experimental data was found fitted well with the pseudo-second-order model, an indication that chemisorption was the rate controlling mechanism.
The above adsorption data was further analyzed by using two kinetic models; pseudo-first order and pseudo-second order kinetic models.
Based on the R2 values (Table 1), it was found that the pseudo-first order model did not fit well to the adsorption data.
The data obtained from the isotherm study was interpreted by using Langmuir and Freundlich isotherm models.
The Freundlich isotherm data is listed in Table 2.