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In view of the comprehensive reduction rate increased year by year resulting in the actual tax rate decreased year by year during the Xinjiang pilot [1], it should increase the rate properly on existing foundation, it can increase by 1%.
Because of the different oil and gas quality, it should take the policy of low tax rate for the heavy oil, high pour-point oil, high sulfur natural gas and EOR, unifying the reduction 40%, and applying higher collection rate for the oil and gas of high quality and easy exploitation.
The weight measurement of the oil and gas quality: in view of the increment of the comprehensive reduction rate resulting in the decrement of the actual collection rate when Xinjiang took ad valorem, it suggested that calculating the sales income proportion of the inferior oil and high quality oil of every oil field once every 3 years, and the state taxation departments should work together with the oil and gas enterprises to complete the calculation.
Identifying the development stages of the oil and gas fields: according to the calculating experience of the comprehensive reduction rate in Xinjiang, it suggested that the competent departments of taxation should investigate and collect the evidence uniformly, and carry on a comprehensive survey of the oil gas fields every 3 years.
Table 2 The declining rate of crude oil production of Daqing Oilfield from 2002 to 2011 Years The actual production of crude oil [Ten thousand tons] The declining rate of production 2002 5000 — 2003 4840 3.2% 2004 4640 4.13% 2005 4495 3.125% 2006 4340.5 3.44% 2007 4169.8 3.93% 2008 4020 3.59% 2009 4000 0.5% 2010 4000 0 2011 4000 0 Weighted average Average decreasing amount: 1 million tons Average decreasing rate: 2.3% According to data analysis, the average decreasing rate of production of Daqing Oilfield is 2.3% since 2002, so the influence coefficient of the oil and gas development stage is K1=0.9.

The numerical models for pollutant dispersion were validated against wind tunnel experiment of Concentration Data of Street Canyons (CODASC) [13].
Same goes to the pollutant dispersion with all the heating wall condition except along the windward wall, where the heating showed overall reduction of pollutant concentration (Table 2).
For pollutant dispersion profiles, there are overall reductions of concentration in all thermal cases, except for the windward wall heating condition (Table 2) due to the reduction of overall wind speed in street canyon and caused the accumulation of pollutant (Table 2).
Other, there is a significant overall velocity reduction within the street canyon when the windward wall was heated due to the upward motion close to the windward wall, which impede the main flow to enter the street canyon at roof level.

Nevertheless, the available data show that additional prestressing of the floor slab lead to significant reduction of slab deflection not only in the prestressed span but also in smaller non-prestressed span that was influenced by deflection reduction of larder span via mutual load bearing mid girder.
Nevertheless, the prestressing of the floor panel in the second loading test lead to deflections reduction that is apparent from Tab. 1.
Depending on the load step, the reduction of floor structures deflection is in the range from 20 to 40%.

The second category is the investments into cost reduction projects, connected with equipment replacement and production site relocation into different regions.
Therefore, with decreasing of correlations ri,j even for high risk projects portfolio approach guarantees reduction of portfolio risk down to zero.
As a rule, for such projects it is possible to gather a representative volume of retrospective data for variables forming the cash flow.
A similar situation exists, as a rule, for investments in cost reduction projects.
Investment projects of the latter groups are characterized by absence of retrospective data.

In order to study the sensor response to ethanol, first a background current data was established by cycling the potential of the bare electrode dipped in a 0.5M NaOH supporting in the presence of 20µL of ethanol and compared across the three electrodes.
Absence of reverse reduction peak Figure 6: Cyclic voltammograms at different scan rates (10-100mV/s) for PANI/ZnONPs/GCE film in 0.5M NaOH containing 20 µL ethanol at 25oC.
The lack of a corresponding reduction peak shows, ethanol oxidation on the PANI/ZnONPs/GCE is indeed an irreversible process (absence of reverse reduction peak) yielding simple products such as carbon IV oxide and water.
A calibration curve constructed from the sensor response data to different concentrations of ethanol based on a PANI/ZnONPs/GCE is given in figure 9 below.
Conclusion The present studies indicated that Spathodea campanulata synthesized ZnO nanoparticles lead to increased electrocatalytic detection of the ethanol as evidenced by higher reduction peak in PANI/ZnONPs/GCE modified electrode as compared to the bare GCE.

Based on the data obtained, it has been determined that the non-exposed MCPA solution has two absorption bands in the 200-300 nm range.
However, if the exposure time is increased, there is a significant reduction in the intensity which can be associated both with the increase in the share of the absorbed excitation energy and the flow of secondary phototransformations.
After exposure to radiation in the presence of the “TiO2 nanoparticles – carrier” and the “TiO2/SnO2 heteronanoparticles – carrier” systems (with the concentration of the active component of 22 and 25/6 mg/g), there is a reduction of the intensity in the 228 nm and 240-260 nm ranges (Fig. 2).
The oxidation and the reduction of non-adsorbed substrate's molecules is possible in case of transformation of primary electrons and holes on the nanoparticles' surface into stable intermediates.
Having analyzed the spectral analysis data, it has been concluded that the carrier material and the systems with applied oxide semiconductor nanoparticles do not exhibit sorption properties towards МСРА molecules.

Furthermore, Table 1.0 also provides data on BET and BJH values for PANI/GO compositions at varying weight percentages (1 wt%, 3 wt%, and 5 wt%).
As evidenced, an increase in the percentage of GO correlates with corresponding increments in surface area and pore volume, alongside a significant reduction in pore radius.
At higher GO dosages, the formation of additional covalent bonds accelerates electron transfer from GO to PANI, facilitating the reduction reaction of triiodides.
The fast transport of electrons from counter electrode to the electrolyte is expected to accelerate the catalytic reduction reaction of iodides at the interface [12].
Data of Charge Transfer Resistance (RCT) and Double Layer Capacitance (Cdl) Photoanode Counter Electrode RS (W) RCT (W) Cdl (F) TiO2/G PANI 2.13 2921.00 1.11 x10-6 TiO2/G PANI/GO 1 wt.% 1.62 212.48 4.32 x10-6 TiO2/G PANI/GO 3 wt.% 1.49 101.10 1.70 x10-5 TiO2/G PANI/GO 5 wt.% 1.60 148.46 8.65 x10-6 The value of conductivity exhibited by PANI in its emeraldine state demonstrates a notable increase upon the introduction of graphene oxide (GO), as delineated in Table 3.0.

In fact, ISF allows a higher material formability than drawing [5,6] but the part feasibility is limited by reduction of the sheet thickness as the depth and the slope of the wall increase [7].
Load the target geometry (t) starting from two different data exchange standards (namely GEO and STL) and transforming them in the MESH format (i.e., nodal points coordinates and surface elements definition)
Moreover, since thickness data are available only for the elements of the mesh, the thickness of each node is estimated as the mean thickness of the elements to which the node belongs (in particular, the mean value is weighted according to element areas).
Moreover, the average error is almost constant but its distribution becomes almost normal with a strong reduction of the standard deviation.
The gradual reduction in error variance during the iterative procedure is the reason for its stability in convergence, since each step can be considered as a recalibration of the previous one, where the non-repeatable errors are reduced, and the offset is compensated.

Design of experiment (DOE) for initial 25 sampling points, which provide input data for approximation, is implemented using the optimal Latin hypercube design (OLHD) method.
LS-DYNA model of drop tower test Simulation results and benchmarking analyses Fig.4 is a left side X sectional forces curves of test data and simulation data after SAE60 filtering.
Velocity and displacement curve of reference point on left side rail Optimization model and Sampling design points In the original design, Fave and Fmax data contrast with previous engineering data are large, so the bumper stiffness is too large.
While local thickness of bumper is reach to 5.2, so the initial design is conservative, matching thickness could be considered in the subsequent design to achieve weight reduction goals.
Analyses of these data show: average cross-sectional force decreased by 8.3%, the peak sectional force decline of 11.5%, meet the design requirements; weight after optimized loss of 30.8%, while Energy absorption increase of 4%, SEA increase of 50.3%.

The results indicated that the model was in good agreement with the experimental data at a correlation coefficient (R2) of 0.9782, and the most influential parameter on efficiency was identified as the dosage of CaCl2 addition.
The experimental data and the response surfaces were analyzed using Design-Expert software (version 7.1.5) from Stat-Ease Inc.
Fig.2 shows the predicted values versus the experimental data for the leaching efficiency.
Thus, Eq. (10) fits the experimental data well.
Fig. 2 Predicted values vs. experimental data of the copper volatile rate Process optimization.