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Online since: October 2010
Authors: Xiao Qing Guo, Li Jun Qu, Guo Jun Han, Ya Ning Sun
Langmuir and Freundlich isotherms were used to analyze the equilibrium data at different temperatures.
Cross-linked chitosan shows a reduction of the band at 1600 cm−1, which may be related to the consumption of NH2 groups by glutaraldehyde, as a result of the cross-linking process (via formation of Schiff’s base, RCH NR).
However, the experimental data were measured at 48 h to make sure that full equilibrium was attained.
Online since: October 2011
Authors: Ti Feng Jiao, Jing Xin Zhou, Xu Hui Li, Qiu Rong Li
Spectral data confirmed commonly the characteristic absorption of substituted groups and aromatic segments in molecular structures.
As for Sal-Azo and Sal-Me-Azo with phenyl substituted group, it is obviously observed that trans isomer converted to cis isomer as proved from the reduction of the strong peak at 364 nm and the concurrent weak enhancement of the weak peak at 452 nm.
The present data suggested the phenyl/naphthyl substituted group can effectively influence the conjugated structure and aggregate mode, and subsequently regulate the relative ratio of isomerization.
Online since: October 2014
Authors: Li Xia Yang
Based on the survey data collected from 208 farm households of Zhili, Balidian, Huanzhu and Baique, 4 towns of Wuxing district of Huzhou city in Taihu Basin, this paper quantitatively analyzed the influencing factors on farm household’s adoption behavior of soil testing and formula fertilizing technology (STFFT) by using Logit Model.
It covered almost all the agricultural counties, with more than 7 million tons of irrational fertilization and 6%-30% of N and P loss reduction, it has a significant result for controlling ANPSP [4].
Data sources Huzhou City is a significant area of water pollution control in Taihu Basin.
Online since: April 2018
Authors: Laurent Dubar, Mirentxu Dubar, André Dubois
Conclusions of this work were that accurate tribological data were essential to guarantee the reliability of software results and that measuring and identifying friction data occurring during a cold metal forming process was a research activity in itself [1].
Step 1 is related to the data acquisition of the main mechanical and physical parameters to be simulated on the friction test.
Other data, such as lubricant film thickness, presence of oxide scale and forming load can also be acquired.
Material data were coupled with Lemaitre’s damage criterion in order to predict the wrenching phenomena of the zinc coating.
The reliability of the finite element computation relies on its input data.
Online since: January 2017
Authors: Yun Bo Chen, Mo Chu, Min Luo, Ran Zhang, Meng Wang
The reduction of Mn4+ in MnO2 component in the following discharge process could provide additional capacity, thus enable this Li-rich cathode material to deliver a high reversible capacity.
At the first discharge, there is a reduction peak at ~3.4V, apparently ascribed to the reduction of Ni2+ and Co3+ ions.
Particularly, an additional oxidation peak located at about 2.8V corresponding with the XRD patterns, which is similar with the voltage of the characteristic reduction peak for Mn-based spinel materials[21].
The experimental datas are simulated by ZSimpWin software according to the equivalent circuit.
Online since: June 2014
Authors: Min Liu, Qi Rong Yang, Rong Hua Wu
The fitted polynomials of COP, Ne, Nc were obtained by the MATLAB curve fitting toolbox according to datum from product samples.
(2)With the reduction of R, under variable flow operating state the heat pump unit will consume more than average 8.41% energy, while COP will decline average 7.61% compared with constant flow
(3)With the reduction of R both of the Ve and Vc will decrease so that there will have a energy saving of Ne and Nc.When R ranges from 30% to 100%, the mean energy conversation rate of Ne and Nc are 49.38% and 38.86%
(4)With the reduction of R, both of tein and tcout decrease due to the declination of temperature difference.
Online since: June 2011
Authors: Hélio Goldenstein, Rafael Agneli Mesquita, Alexandre Bellegard Farina, Hans Jürgen Kestenbach
In the present paper, thermodynamic and kinetic simulations were carried out and correlated to these data, especially in terms of Si effect on M3C carbide precipitation.
A particularly successful modification proved to be the reduction of Si content from the usual 1.0 %Si to 0.3 %Si [2-4].
The carbon profile shows a strong dependency of the silicon contents at the interface, being the diffusion faster with the reduction of Si concentration at the interface.
Online since: August 2013
Authors: Yi Jun Xiong, Rong Zhang, Chong Zhang, Xiao Lin Yu
Experiment and Data acquisition.
The first 10 seconds EEG data is chosen as basic data segment and steps by one second data.
By shifting the data segment step-by-step for whole trial, 5100 data segments are obtained.
Wavelet packet tool is used to analyze each EEG data segment [12].
Then AE and KC are calculated for all EEG data segments in five frequency bands respectively.
Online since: September 2014
Authors: Hong Mei Xing, Lei Sun, Wei Wang
Data warehouse focuses on data modeling and data analysis of decision makers, rather than on the daily operation and transaction processing of the organization.
Nonvolatile: a data warehouse always stores data separated physically; the data derives from the application data of the operating environment.
Usually, it only needs two kinds of data access, i.e. the initial loading of data and data access.
Decision-making data is multidimensional data, which is the main content of decision-making.
Drill - up climbs up through the hierarchy of the dimension concept or gathers in a data cube by dimension reduction.
Online since: February 2026
Authors: Roha Rehan, Kiran Siraj
While [10] uses a scenario-based SDG interaction framework to demonstrate how clean energy transitions support non-energy development goals like health, poverty reduction, and education, [11] provides a data-driven classification of 49 SSA countries, showing wide disparities in energy access, particularly in clean cooking fuels, urban-rural electrification, and renewable uptake.
Future iterations should include real-world grid data, socio-demographic EV diffusion rates, and storage economics to validate feasibility in deployment zones. 6.
These developments, although not V2G-specific, demonstrate the city’s growing capacity for data-driven energy systems and real-time control architectures that V2G platforms require.
Investments in grid digitization, smart meters, data platforms, interoperable protocols, are foundational.
Furthermore, integrating V2G data into national planning enables more accurate load forecasting and infrastructure investment strategies.
Showing 20861 to 20870 of 40694 items