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Reflection intensity data for 1 was collected on a Brucker-AXS Smart CCD diffractometer at room temperature with graphite monochromated Mo-Kα (λ = 0.71073 Å) radiation.
Neither crystal showed evidence of crystal decay during data collections.
A summary of the crystallographic data and structure refinements for 1 is given in Table 1.
Table 1 Crystal data and structure refinement for1 Empirical formula C8H32Cu2N8O25V10 Formula weight 1276.90 Crystal system triclinic Space group P Unit cell dimensions a = 6.7543(8) Å α = 104.911(9) deg b = 8.9590(16) Å β = 91.103(9) deg c = 15.976(2) Å γ = 106.465(9) deg Volume, Z 891.4(2), 1 Absorption coefficient 3.751 mm-1 F(000) 624 θ range (deg) 2.46-28.39 Reflections collected 6415 / 4345 Independent reflections 4345 / 0 / 244 Goodness-of-fit on F2 1.038 Final R indices [I>2θ(I)] R1 = 0.0552, wR2 = 0.1765 Largest diff. peak and hole 1.510 and -1.195 e.Å -3 aR1 = å||Fo| -|Fe||/å|Fo|; bwR = {[åw(Fo2 - Fe2)2]/[åw(Fo2)2]}1/2 2.4 Photocatalytic degradation of RhB. 20 mg 1 was dispersed in 100 mL rhodamine B solution (RhB, 20 mg·L-1), which was stirred at constant speed in a jacketed reactor
The results indicate that compounds 1 show excellent photocatalytic activities for the degradation of RhB, which may be good candidates for photocatalysts with photocatalytic activities in the reduction of some organic dyes.

We analyze the global natural gas consumption and price points using the data from the BP.
In order to eliminate the impact per unit, the regression model uses the data in the log.
As a result, the market data can meet the requirements of the model.
Unit Root Estimation Data should be inspection for stationarity before equation estimation, only Stationary sequence can be used.
In order to eliminate the impact per unit, the regression model make return more believable on the data of log.

However, the dimensioning and design of joints and suitable processes are mainly based on expert knowledge and few experimental data.
Therefore, data-based methods provide high potentials for the optimization of target features [3].
Subsequently, an algorithm can read out all relevant geometric information that is stored within the nodes’ meta-data.
The use of a clustering algorithm showed satisfying results in the classification of the generated contour data.
The approach thus paves the way to the data-driven design of mechanical joints.

Let the dependent variable data be reference sequence Y and each variable data be comparative sequence Xi (i = 1, 2, 3, …, n).
Each variable data has different units, and therefore it is necessary to conduct dimensionless process on the sample data sequence to obtain new normalized sequence: X’=（X1’ , X2’ , ,···，Xn’) (3) Calculate the difference sequence of each time.
Class ratio test refers to conducting the feasibility test of the original data sequence for GM (1,1) modeling.
The sample range in this paper is 1991 – 2012, and the data to be used are from the China Statistical Yearbook.
Then conduct gray correlation analysis based on the data in Table 3 with the results as shown in Table 4.

RSM is a vital tool for designing experiments and analyzing data for model prediction and selection of the best equation that represents the experimental results (Douglas, 2005; Kathleen et al, 2004).This design technique allows a process to be optimized using relatively few experiments when there are a large number of input parameters.
This reduction of MRR occurs due to the instability of spark at this stage.
The heat generated during machining at this stage was easily removed, facilitating a reduction of temperature around the surface of copper electrode.
This is due to the reduction in recast layer thickness during machining.

Furthermore, these results indicate that the reason for attachment of the secondary fluid to the surface is reduction in surface pressure, which leads to the deflection the main flow and obtaining thrust vectoring.
In addition, this figure shows that secondary slot height reduction caused the enhancement of the thrust vector angle.
The results of vector angle that are computed at the nozzle exit show a nonlinear reduction in thrust deflection angle with increasing the slot height.
Furthermore, numerical model and the results of the computational simulation are compared and validated with the experimental data that were previously approved by the first author for co-flow fluidic thrust vectoring technique and show a good agreement.

Easy removal of the rod from the equipment, a significant reduction in model wear as well as a reduction in pollution and breakage of models make it possible to organize storage of core boxes and models as close as possible to the place of their use.
AlpHaset Acid-curable furan resins Phenolic acids Phenolic urethane Alkyd isocyanate Silicate ester Odor level when mixing Very low High High High Moderate Very low Extract from the form Great Weak Weak Weak/ Moderate Great Good The possibility of cleaning with water Yes Partial Partial No No Yes The ratio of working time to time of extraction 30% 30-40% 50% 25% 25% 25% Exposure to sand temperature Moderate Strong Strong Moderate Moderate Moderate Using different types of sand Yes No No No Yes No Shelf life of kernel/form Long Long Long Мedium Мedium Short The possibility of rapid solidification of the mixture Yes Yes No Yes No No The possibility of slow solidification of the mixture Yes Yes Yes No Yes Yes Regeneration capability High/ Moderate High High High High Low This study shows that AlpHaset has many advantages compared with other processes, including a high degree of the spent mixture utilization, which leads to a decrease in waste dumped and a reduction of environmental damage
Sand mark GOST 2138-91 Content of clay component, % Rests on the sieves, % Fineness modulus Uniformity coefficient, % Average grain size, mm 1,6 1,0 0,63 0,4 0,315 0,2 0,16 0,1 0,063 0,05 1K20203 up to 0,2 - 0.12 2.82 5.12 43.28 32.28 12.3 3.06 0.86 - 49 74 0.34 2K20203 up to 0,5 - 0.2 2.4 11.54 27.8 49.54 6.04 2.22 - - 48 77 0.30 1K202025 up to 0,2 - 0,12 0,17 7,74 17,3 55,92 9,76 6,44 0,54 0,32 53 73 0,27 2K202025 up to 0,5 - 0,1 1,38 7,62 18,82 56,22 9,24 5,52 0,76 0,06 46 74 0,28 1K20202 up to 0,2 - - 0.46 2.1 8.06 53.92 25.47 9.37 0.42 0.04 59 79 0.22 2K20202 up to 0,5 - - 0.46 2.07 8.99 58.98 19.04 9.60 0.40 0.06 59 75 0.23 Based on these data, it is impossible to choose sand that meets the requirements of the AlpHaset system for the content of fine dust particles ranging in size from 0 to 0.125 mm less than 2% and a residue on the grid of 0.125 mm maximum 5%.

Miniaturized electrochemical capacitors or micro-supercapacitors are expected to be the power sources for miniaturized electronic devices. [6-10]The current preparation methods of micro-supercapacitors include printing, [11-13] electro deposition, [14-17] catalytic reduction, [18, 19] sputtering and so on. [20-23] David Pech prepared a super-capacitor on the plane of silicon by the ink-jet printing method and the specific capacitance is 2.1 mF/ cm2. [24] Sun has used Deep reactive ion etching (DRIE) to fabricate the 3-D microelectrodes and electrodeposited PPy, and the capacitance is 27 mF/cm2. [25] Beidaghi has developed the activated C-MEMS structures for micro-supercapacitor applications and the geometric capacitance of one electrode at the scan rate of 5mV/s is 75.3mF/cm2.[26] Chunlei Wang with his partners has achieved C-MEMS electrode arrays of lithium batteries.
Electrodes prepared by the catalytic reduction method have a high specific capacitance, but the preparation process is complex and requires a high temperature.
The oxidation and reduction peaks indicate Ruthenium intercalation and extraction to and from the 3-D microelectrode arrays.
Bode plots for the RuO2 microelectrode in 6M KOH solution In Figure.7 the maximum specific capacitance can be calculated by the low-frequency data using where is the imaginary part of the impedance, is the frequency and C is the capacitance.

There is much statistical data for the existing residential buildings, but the amount of information available about non-residential buildings is often very scarce.
Criteria for NZEB To achieve the NZEB parameters it is necessary to proceed from the acceptance and determination of three interrelated criteria: – Reduction of specific energy need for heating to a minimum
– Reduction of primary energy consumption for heating, cooling, ventilation, domestic hot water and lighting
Supply of energy from RES found in the building or its proximity should provide at least a 50% reduction of primary energy.

In addition, there’s a lower peak at the position of 2θ=20°, which may be due to partial reduction of graphene oxide during the drying process[19].
In the preparing process, the electrodepositing solutions of the No.4, No.9, No.10, No.11, No.15 and No.16 experimental groups are not suitable due to the unsuccessful electrodeposition, and there are no data of the microhardness values of these groups in Table 2.
Chen, et al, Stable aqueous dispersions of graphitic nanoplatelets via the reduction of exfoliated graphite oxide in the presence of poly (sodium 4-styrenesulfonate), Journal of Materials Chemistry. 16 (2006) 155-158
Piner, et al, Synthesis of graphene-based nanosheets via chemical reduction of exfoliated graphite oxide, Carbon. 45 (2007) 1558-1565