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Enhanced Cr(VI) Reduction Efficiency Using Clay Support and Hydrothermally Synthesized LTA Zeolite Composite Membrane Abderrazek El-Kordy1,2,a*, Abdelaziz Elgamouz2,b*, El Mokhtar Lemdek1,d, Abdel-Nasser Kawde2,c, Najib Tijani1,e 1Materials, Membranes and Nanotechnology Laboratory, University of My Ismail, Faculty of Sciences Meknes, BP: 11201, Zitoune, Morocco. 2Department of Chemistry, Pure and Applied Chemistry Group, College of Sciences, University of Sharjah, P.O.
Results demonstrate significant reduction in Cr(VI) concentration, with a 30% and 50% retention on the clay support and the LTA-zeolite membrane respectively.
The synthesized zeolite LTA was compared with literature data in the zeolite database, revealing a well-defined crystalline structure within the cubic system [14].
Elgamouz, “A comparative study of treated clay and synthesized Fe/ZSM-5 zeolite for application in the electrochemical reduction of chromium(VI) as an environmental sensor,” Journal of Solid State Electrochemistry, no.

Differential Evolution is utilized to generate inner polynomial parts and to find appropriate coefficients to experimental data obtained from other publications.
The function is optimized to fit experimental data from Dash and Makhlouf [7] with utilization of genetic algorithm and differential evolution.
Fig. 2 demonstrates the flow of GA-DE to search for good fit polynomials of the function to experimental data.
The dataset used here is experimental data earlier published by [7].
In addition, it can be clearly seen in Fig. 3b that the predicted porosity promisingly show good fit to the measured porosity of 9 validation data reported by Dinnis et al. [11].

The mechanical data for the corroded steel bridge is given in the Table 1.
These data are determined from the samples taken from the steel girder bridge.
Initial data for steel were obtained from French experiments of steel fabricated since 1930 [TCVN 11297: 2016].
Entire bridge, there are 36 strain gauges and 8 deflection measuring points used, all data collected and processed by GTDL-620 data logger.
This reduction results in the reduction of elastic modulus and cross section.

For enhancing catalytic activity and increasing surface area, mesoporous Ni-B amorphous alloy nanoparticles was manufactured by chemical reduction of NiCl2 and KBH4 via surfactant hexadecyltrimethyl ammonium bromide (CTAB) as an soft template.
For enhancing catalytic activity and increasing surface area, mesoporous Ni-B amorphous alloy nanoparticles was prepared in this study by chemical reduction of NiCl2 and KBH4 through self-assembly of an ionic surfactant hexadecyltrimethyl ammonium bromide(CTAB) as an important organic soft template.
The data in Table 1 and Table 2 have great difference.
Surface areas of the amorphous Ni–B alloys prepared by different amount of CTAB with ultrasonic oscillation SBET (m2/g) dpore (nm) Vpore (cm3/g) C-M 102.55 9.79 0.25 M-C 208.38 9.59 0.50 Amount of CTAB 　 S BET (m2/g) d pore (nm) Vpore (cm3/g) 1g 8.04 16.89 0.034 2g 27.36 13.85 0.095 3g 50.71 14.14 0.179 Conclusions Mesoporous Ni-B amorphous alloy nanoparticles were manufactured by chemical reduction of NiCl2 and KBH4 via surfactant CTAB as a soft template.

To extract feature from the acceleration data, they convert three dimensional data into one dimensional vector using vector quantization [5].
Fig. 3 shows the example of raw data.
Fig.2 Data collection apparatus a) b) c) Fig.3 Accelerometer signals for different handwritten characters a-the data ‘0’, b-the data ‘3’, c-the data ‘9’ Feature Extraction Feature extraction is the elementary problem in the area of pattern recognition.
Therefore, we proposed a effective features fusion method from acceleration data in this paper.
PCA is one of the well-known dimension reduction methods.

The models assume statistical processing of the factual data array from real production facilities, which is produced using Data Mining tools, and special software is often developed [35, 36].
The initial MS Excel data tables had different header formats.
Statistical data processing followed by the construction of statistical mathematical models for 10Mn2VNb steel heavy plates, obtained in the 3600 HPM conditions, is performed automatically using MS Excel Data Mining tools.
The generated data array is processed iteratively.
The input data for the calculation is entered using the jQuery Universal Interface controls.

But, in case of the Carbon/PEEK composites, objective data is still very lacking.
The average of the result data from 5 specimens, except the highest and lowest data from the measurement data, was taken.
Generally, the graphs of tensile strength and bending strength were decreased according to the elapse of the immersion time, and especially the sharp reduction was shown in the graph before 20 days.
Also, the reduction of the bending strength according to the immersion time indicated the aspect which is similar to the tensile strength.
The following results can be obtained from these data

To model the random nature of EV, the traffic survey data from National Household Travel Survey [10] is used as a reference.
Scenarios Generation and Reduction.
Fig.2: Forecasted PV and WT power production, load and day-ahead price data Deterministic Method.
[10] National Household Travel Survey Pre- and Post-9/11 Data Documentation.
Available: National Household Travel SurveyPre- and Post-9/11 Data Documentation | Bureau of Transportation Statistics

Range analysis is adopted to analyze orthogonal experiment data later.
Data show that, DF spatial harmonic can be suppressed effectively by changing PM and cogging structures.
Table 3 Orthogonal factors table Consider factor Air-gap thickness PM thickness Primary thickness Secondary thickness Pole-arc coefficient Level1 2.0 4.5 6.0 4.0 0.818 Level2 2.5 5.0 7.0 6.0 0.867 Level3 3.0 5.5 8.0 8.0 0.882 Level4 3.5 6.0 9.0 10.0 0.889 There aretest data based on Table 3.
Orthogonal experiment method is adopted to obtain representative data combination.
Firstly, orthogonal design assistant is introduced to analyze data in Table 4 and then intuitive analysis table is obtained.

The work introduces a demonstrational example of measured, processed and evaluated data of an experiment where parameters of vibrations, which were created due to water jet technological head parameters changes, were scanned.
The data are scanned with an accelerometer representing part B in the scheme.
Communication with the computer is performed by an interface USB 2.0 with speed up to 100 kS/s/channel and 400 kS/s/module with total data flow up to 5 MS/s.
Making of tasks within object-oriented programming environment of LabVIEW with further widening and further data processing in a case of a portable computer using means that the system is completely portable [1-4].
A) Data recordings of a planned experiment B) A digital record of an analog output of the accelerometer of material cutting C) Relation of vibration parameters to an analyzed technological and material parameter.