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AAEFIMOV1609@YANDEX.RU, BPESTRYAKOV2005@YANDEX.RU, CVAGA1957@GMAIL.COM, DFCHAVEZ@ESFM.IPN.MX, EVITALII@CNYN.UNAM.MX Keywords: Mordenite, Faujasite, ZSM-5, Erionite, Copper, Reduction, XPS, Nanoparticles.
Results and Discussion Obtained data permits to conclude, that ion exchange from concentrated solutions of Cu(NO3)2 and CuCl2 leads to the loss of crystalline structure of NaX.
According to XRD data, applying of solutions with a concentration higher than 0.4 M led to the almost complete destruction of the crystalline structure.
XPS data for Na+- and Cu2+-faujasite samples Samples NaX X3 X4 Eb, (eV) At. % Eb, (eV) At. % Eb, (eV) At. % Na 1s 1 1072.2 10.5 1072.5 2.8 1072.7 6.5 Na 1s 2 1073.5 2.2 Cu 2p 3/2 1 933.7 0.75 933.8 0.6 Cu 2p 3/2 2 936.3 1.35 936.4 1.1 O 1s 1 531.1 41.0 531.7 35 531.8 44.8 O 1s 2 532.2 10.6 532.7 7.4 533 12.3 O 1s 3 533.5 3.8 533.5 16.6 534.3 2.2 N 1s 1 401 0.7 401.2 0.3 N 1s 2 403 0.3 N 1s 3 407.2 0.3 C 1s CH 285 2.93 285 4 285 1.8 C 1s COH 286.6 1.46 286.5 0.9 286.2 0.5 C 1s COO 288.8 0.45 287.8 0.4 287.7 0.3 C 1s C=O 289.6 0.4 Si 2p 1 101.9 10.4 102.9 18.7 102.9 18.8 Si 2p 2 102.7 5.15 Al 2p 74.1 11.3 74.8 10.4 74.7 10.8 Si/Al 1.38 1.80 1.74 H-mordenites are absolutely stable in a solution of 3M Cu(NO3)2.
XPS data for H+- and Cu2+-mordenite samples Samples M3 M27 S5 S4 Eb, (eV) At. % Eb, (eV) At. % Eb, (eV) At. % Eb, (eV) At. % Na 1s 1 1073 0.2 1073 0.1 1073.2 0.2 1073 0.2 Cu 2p 3/2 1 933.8 0.8 933.6 0.06 Cu 2p 3/2 2 936.2 1.7 O 1s 1 530.9 2.6 531.1 2.4 531.3 4.9 531.1 4.3 O 1s 2 532.7 60.4 533 56.2 532.8 53.5 532.8 58.7 O 1s 3 534.4 2.8 534.6 3.7 534.8 1.5 534.5 1.6 N 1s 1 401.2 0.9 401 0.4 N 1s 2 403 0.8 C 1s CH 285 2.9 285 4.1 285 4.2 285 3.04 C 1s COH 286.7 1 256.6 1 286.3 1.1 286.3 1 C 1s COO 289.2 0.4 289.4 0.5 287.5 0.6 287.2 0.4 C 1s C=O 289.3 0.9 Si 2p 103.3 27.1 103.6 29.6 103.5 25.5 103.4 27.2 Al 2p 74.7 2.6 74.8 2.4 74.8 4.2 74.5 2.3 Si/Al 10.4 12.3 6.1 11.8 2Cu/Al 1.2 0.05 Table 3, Continued Samples S1 S16 S2 S3 Eb, (eV) At. % Eb, (eV) At. % Eb, (eV) At. % Eb, (eV) At. % Na 1s 1 1073 0.1 1073.1 0.2 1072.8 0.2 1072.8 0.2 Cu 2p 3/2 1 933.9 0.1 933.6 0.4 933.5 0.5 Cu 2p 3/2 2 935.9 1.4 935.7 2.4 O 1s 1 531 2.7 531.2 64.7 531.2 5.4

The strain data is modeled using variable mean of Gaussian process.
First of all, ordinary nodes send the data to the CH.
The aggregated data in CHs are sent to the BS via multi-hop routing.
Model of Strain Data.
To validate our approach we simulated the data as per the model given in (1) and (2).

The measured permittivity data show strong dependence on moisture content.
Biomass appears to reduce the permittivity data due to increase in porosity of the soil.
Laboratory studies of the Complex Dielectric Permittivity of soils with different varied parameters such as soil texture, moisture, salinity and biomass provide a basic feedback to analyze the remotely sensed data and help in signature studies.
This may be attributed to increased porosity of the samples due to biomass which results in reduction of free water molecules and hence decrease in ε’ and ε”.

Based on the data, the managers can acknowledge all the processes details in the design groups.
The existing data can also be borrowed for the later quotation for the similar designs.
Together with the improvement of quality, the reduction of cost is also an important issue.
The former is to collect information from the terminal designers while the server is responsible for task arrangement, data statistics/analysis and reports output.

Conventional risk assessment tools (e.g. probability risk assessment) were not suited for initial design because of lack of data, and a safety analysis model using fuzzy-logic approach employing fuzzy IF-THEN rules was introduced to carry out risk analysis in conceptual design.
Risk analysis parameters input Risk analysis results Other information sources Fuzzifier Fuzzy inference engine Defuzzifier Expert knowledge base Data collection analysis Fuzzy rule base Fig. 1 The procedure of risk assessment based on fuzzy-logic system (ii) Linguistic variable sets and fuzzy rule base The two fundamental parameters used to assess risk level (RL) of the system are failure likelihood (FL) and consequence severity (CS).
Table 2 Definition of safety goal for SRV’s conceptual design The value of risk (S) Risk level (RL) Description S ≤ 0.2 Low Risk is acceptable. 0.2 < S ≤ 0.5 Reasonable Optimization measures are taken as necessary. 0.5 < S ≤ 0.8 High Risk reduction measures should be taken.
The alternatives A3 and A4 were not feasible, and risk reduction measures should be taken.
Instead of conventional safety analysis tools, a fuzzy-logic-based risk assessment model was introduced to overcome the difficulties that lack of data in conceptual design process.

•The diffracted beams make an angle of 2ⱷ with the incident beam.]9] Single crystal poly crystalline powder Quantitative analysisof X-Ray diffraction data usually refers to the determination amounts of different phases in multi-phase samples.
In quantitative analysis, an attempt is made to determine structural characteristics and phase proportions with quantifiable numerical precision from the experimental data itself.
Though “standard” patterns and structural data are used as a starting point, the most successful quantitative analysis usually involves modeling the diffraction pattern such that the calculated pattern(s) duplicates the experimental one.[9] Tensile test: The aim of the measurement to get to know the method of tensile testing through the example of an injection molded, thermoplastic, polymer specimen, the mechanical properties that can be determined in these tests as well as the effect of measurement conditions (tensile test speed) on the mechanical properties.
Fig. 8 XRD test for (a): PEEK-1000, (b): PEEK-GF30 Tensile test :The results show that the tensile properties of PEEK decrease with GF additions due to the brittle nature of GF which is decresing the toughness of PEEK and this decreases the tensile strength .as shown in (Fig. 9, 10):these results are very clear from observing the stress-srain behavior of unmodified PEEK (Fig. 9) .It has the high range of plastic zone , which is a good pointer to the high toughness in addition to the high strength, but from the (Fig. 10), the reduction in the toughness of the modefied PEEK is clear because of the reduction of plastic zone and dacreasing of the tensile strength.
Fig. 13 Shows fatigue test for (PEEK-10000) Fig. 14 Fatigue test for (PEEK+30%GF) Conclusion: Through this research we can conclude several points, the important of them are: 1-The levels of crystallization of PEEK increase with glass fiber addition where the amount and resultant crystallinity depend on processing conditions applied to the samples. 2- The tensile strength and impact strength (for notched and un-notched samples) decrease with glass fiber content, where the brittle nature of GF causes decreasing in toughness. 3- The fatigue behavior of composite decreases by adding of the glass fiber to the PEEK due to decreasing in strength and reduction of toughness. .

Rapid expansion of construction land, especially arable land is currently a significant reduction is Chongqing and the country faces a major land use.
Data sources.
The land use information extracted from land use maps of Chongqing from 1999 to 2008 with scale of 1: 200 000 by Arcgis 9.2 software, and then integrated with detailed survey data of land use in corresponding period and region.
Analysis of land change data in Chongqing 1999-2008.
Arable Land ecosystem services value occupy the second highest proportion, but it has been showing a decreasing trend, the reduction of arable land has been offset by an increase in woodland.

The existing data show that most organic inhibitors act by adsorption on the metal surface.
Zview computer software was used to fit the experimental impedance data to the chosen electrical equivalent circuit model.
It can be seen that the dominant cathodic reduction is oxygen reduction controlled by diffusion process, and the anodic reaction is iron dissolution controlled by charge transfer process.
In the presence of C7 and C7+Ni ions, it can be observed that the corrosion potential shifts in the positive direction, the polarization curve Fig. 3(c and d) show that C7 act as anodic inhibitor, while C7+Ni ions is inhibitor of a mixed type, but the anodic effect is more pronounced .Polarization curve Fig. 3(b) clearly shows that the C2, decrease the corrosion current densities with respect to those for the blank for both anodic and cathodic reactions, without causing any appreciable change in values of corrosion potential, suggesting that the C2 is mixed inhibitor, since affect both the metal dissociation and oxygen reduction reactions.
Electric circuit models used in fitting the experiments data (Rs= solution resistance, CPEdl= double layer constant phase element, Rct= charge transfer resistance,Rl1= first layer resistance, Rl2= second layer resistance, CPEl1= first layer constant phase element and CPEl2= second layer constant phase element.

Both recrystallisation and static recovery of a deformed material are driven by the reduction of internal energy (dislocation density and internal stresses).
Experimental results 550 560 570 580 590 600 610 1 10 100 1000 10 4 10 5 Experimental Data Recovery Model σσσσy (MPa) Time (h) 350 400 450 500 550 600 650 0.001 0.01 0.1 1 10 100 1000 10 4 Experimental 733 K Model 733 K Experimental 743 K Model 743 K Experimental 768 K Model 768 K Experimental 773 K Model 773 K σσσσy (MPa) Time (h) 0.2 0.4 0.6 0.8 1 0.001 0.01 0.1 1 10 100 1000 104 Experimental 743 K Model 743 K Experimental 793 K Model 793 K % Recrystallised Time (h) 350 400 450 500 550 600 650 0.01 0.1 1 10 100 1000 10 4 Experimental 743 K Experimental 743 K [H] = 250 - 300 ppm Model [H] = 300 ppm Model K = 50 % σσσσy (MPa) Time (h) Figure 3 Evolution of recrystallised volume fraction for CWSR Zircaloy-4 Figure 2 Yield stress evolution of CWSR Zircaloy-4 (460 - 520°C) Figure 1 Yield stress evolution of CWSR Zircaloy-4 (400°C) Figure 4 Yield stress evolution for CWSR Zircaloy-4 (470°C)
-dislo. interactions ρµασ b2M= σσ . 1 ' K = The presence of hydrogen will therefore be both to reduce the stored energy for a given dislocation density (via the reduction of the line tension) and also the driving force for recovery (via the reduction of dislocation-dislocation interaction).
The best fit for the experimental data is shown in figures 1 to 4.
In general the model gives a good description of the experimental data, falling short at high temperatures due to the assumption of site saturation.

It also conforms to the die engineering practice of using surface profiles to design die faces and is compatible with various CAD data formats.
This new concept makes possible to create complete die-faces in hours starting from the CAD surface data of the part [6].
For complex parts, it is a curved, smooth surface determined from the part CAD data using geometrical rules and can be easily modified by the user.
Using the above described die design philosophy and optimization technique, significant benefits can be achieved: binder and addendum development time can be radically reduced and thus the total die development time as well, leading to an enormous reduction in die try-out times and overall tooling costs.
As a results significant reduction of die development, tooling cost and lead-time can be achieved providing more economical production in sheet metal forming.