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Once complete and almost defects free layers were obtained, partial reduction was found to lead to the creation of almost circular nano sized holes in the SAMs; which can be used as nano-electrodes.
Once the maximum blockage is obtained, a partial reduction is conducted by holding the potential at a given position regarding the SAM reduction peak which leads to a drastic change in the blocking properties.
Cyclic voltammetry (CV) was conducted by using a potentiostat (Solartron SI 1287), and the data acquisition with the CorrWare-Electrochemistry software.
Figure. 4 AFM Phase Images for a dodecanethiol (C12) SAM after a partial reduction showing nano-holes homogeneously distributed on gold polycrystalline films.
Conclusion Our results show that cycling (reduction-redeposition) of electrodeposited thiol SAMs improves the blocking properties.

Table 1: The relevant data used in the calculations of Eq. (7).
While for thin films or nanowires, the size reduction is only in one or two directions.
This Young¢s modulus reduction is also found for (110) thin films [8] and [111] and [100] direction nanowires [11].
Another explanation is that the Young¢s modulus reduction may be due to the binding energy change [22].
According to the definition of Young¢s modulus, it may be decreasing with the reduction of the binding energy.

Mineral oil NH3 Gel AlOOH-Si Oil drop process Mineral oil NH3 Gel AlOOH-Si Gel AlOOH-Si Oil drop process ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt H2PtCl6 H2PtCl6 Mineral oil NH3 Gel AlOOH-Si Oil drop process Mineral oil NH3 Gel AlOOH-Si Gel AlOOH-Si Oil drop process ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt
ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt H2PtCl6 H2PtCl6 Figure 1.
The introduction of platinum does not change the structural data and the thermal stability.
These average data are much higher than the values obtained from XRD, leading to the suspicious single crystal character of the largest particles. 4 30 40 50 60 70 80 δδδδ θθθθ θθθθ θθθθ θθθθ θθθθ δδδδ δδδδ δδδδ θθθθ δδδδ θθθθ θθθθ OD Al2O3Si MF Al2O3Si P Al2O3Si 2 theta / ° 30 40 50 60 70 80 Pt Pt Pt OD 3(i+i+i)rPt MF 3*(ir)Pt MF 3(i+i+i)rPt P 5(i+i)rPt 2 theta / ° Pt Figure 2.
Other data of interest is the pressure increases during the reaction which is linked to the efficiency of the catalyst.

Reduction of Biological Contaminants from Municipal Wastewater by Encapsulated nZVI in Alginate (Ag) Polymer: Reduction Mechanism with Artificial Intelligence Approach Maha M.
Also, adsorption and kinetic data indicated that the adsorption mechanism runs toward the Sips model to approximate the Freundlich model at low concentration and to solve the Freundlich limitation at high concentration with a maximum adsorption capacity of 181mg/g.
The coefficient of determination between measured data and simulated results (R2) and adjusted R2 existed in 4.
Kumar, COD and BOD reduction from coffee processing wastewater using Avacado peel carbon.
[76] Oladipo, A.A., et al., Bio-derived MgO nanopowders for BOD and COD reduction from tannery wastewater.

The model can usually be set up by use of more than four data. (2) The priori characteristics of original data distribution need not to be known.
The originally experimental data are shown in Table 1.
The data under same condition is variable.
The data series of , , ……, is shown in Table 2.
Experimental design of fatigue property and data treatment [M].

Motor Reduction gear-box PIV Frequency Controller Spline Spline Pile caps with piles Displacement-controlled unit Static loading unit Load-controlled unit Computer with data logger A B Legends: 1.
Reduction gear-box. 4.
The reduction was also found to be increasingly significant with the increment of L/D ratio.
First of all, collection of sufficient data for soil, pile material, loading and loading (cyclic loading in particular), the design values of frequency and amplitude and frequency are to be evaluated.
Initialize soil, pile material and static load data Design Recommendations Conventional design of pile under static loads Collect wave and wind load data and regularize for mean cyclic load on piles Evaluate design amplitude and frequency Evaluate design pile degradation factor Check against ultimate failure and acceptable settlement Yes No Re-Design End Is factor of safety satisfactory ?

The data was obtained in the city of Tehran, since Iran was used in this study.
In the World Bank Data the value of load factor is 70%, headway of buses is around 1-12 minutes and average operating speed is around 15-25 km/h for bus standard operation inter-city [8].
In Table 1 and Table 2 the average values of load factor for the first scenario and second scenario are reductions of around 64% and 66%, respectively.
Also, the average values of dwell time for the first scenario and second scenario are reductions of around 58% and 54%, respectively.
Acknowledgements We thank the Fara Tarabar Mahdi bus company for providing the test data.

Comprehensive effect evaluation system for UIG regional cooperative innovation is a multi-level system, it concludes large amounts of information and indexes, which could use rough sets to do the attribute reduction for the data in this complex system, which means that helping us to reduce the data of this evaluation model, so as to improve the simplicity of the evaluation results.
Using expert scoring method, the data is complete, true and credible.
The application of rough set on qualitative indicators of reduction 1) Use ROSETTA software to open the set of experimental data in decision table. 2) Discretize process.
Application of Equal Frequency for data discretization.
In order to make the data more persuasive, the data of this article comes from different universities, enterprises and government experts 7, 17 experts and 22 expert, 6 groups of data as a test set, the remaining 44 groups of data as a training set, the test set. 2) Data format conversion.

Based on engine bench test data points diesel engine power curve in figure 1 is drawn.
The least squares polynomial fitting function of Matlab software is used during the data processing: A=polyfit (x, y, n).
Verification Calculate the oil consumption rates of diesel engine bench tests through the fuel consumption rate model and compare them with the test data, the result is shown as table 2, 3.
When comparing the calculated values with the test data, the result proves that the model can predict fuel consumption rate of diesel engine well
Transport energy-saving emission reduction countermeasures under the concept of sustainable development [C].

This research is conducted by analysing quantitative data from vessel sourcing database focuses on uncertainty recorded from January to August 2012.
Data of vessel Request Order (RO) with the actual requirements have been recorded from January 2012 to August 2012.Eight months of vessel chartering (VC) activities chosen to ensure having a complete data of purchasing cycle from tendering process to contract issuance.
To control the data evaluation, the first uncertainty that hit the sourcing process will be recorded as the uncertainty.
All data will be tabulated in graphical method, pie chart and tables.
Based on historical data of Putra Oil, percentage of reduction in DCR is approximately 2% for each additional of 30 days duration.