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Vulnerability reduction procedures in ordinary urban management.
For each surveyed building, a set of data was collected concerning the walls (material, thickness, presence of inserts different from the traditional ones), the floors (type and material of the structure, presence of pushing roofs) and the staircases, as well as the eventual presence of weak points (as excessive thinning of the walls’ thickness, lack of bonding, cracks and deformations) and strength devices (tie rods, scarp walls, etc.).
In other words, they just define design criteria – and not technical solutions – with the aim to pursue a vulnerability reduction strategy within a conservative approach respectful of the original nature of historical masonry structures.
In the remaining municipal urban area, when interventions are not listed in the restoration and preservation categories, it is mandatory to prepare for each building, before developing the project, a preliminary report that must contain: the collection of data required from the Planning, the examination of the “Seismic City Plan” contents, and the qualitative analysis of the building vulnerabilities.
With the aim of a uniform treatment of data and information, the required reports must follow a purpose-built form set up by the municipality and containing synthetically the most important information as derived from the analyses conducted both in the study here presented and in that realised by the Department of Civil Protection.

The hardness of the HSR and LSR specimens at the reduction of 23%.
Effect of rolling reduction on static recrystallization.
The effect of reduction on the kinetics of softening is demonstrated in the plot of lnln(1/(1-Xv)) versus lnt of HSR specimens at reductions of 8%, 23% and 30% (shown in Fig. 6).
It is noted that below the turning point, the exponent n1 is higher, while over this fraction, a much lower exponent n2 is required to fit the experimental data.
When the reduction is increased, the value of n1 increases; while the average value of n2 is around 0.4 for all three reductions.

The results are considered for the DIC analysis and achieved results in terms of SS curves from the DIC analysis compared with the experimental data.
The results were observed to be within a range of 5% and granted reliable data.
The maximum thickness reduction was determined to be 0.377 mm close to the tool extraction region.
It proves that as the forming depth increases, the thinning reduction also increases and vice versa.
Besides, the thinning reduction was identified to be more in the cone frustum part than that of the pyramid frustum.

Nowadays, the government has gradually focused on the energy-saving emission reduction in order to build the resource-conserving and environment-friendly society.
However, different regions have distinguishable contributions to the energy-saving emission reduction.
Data and results Data description.
It is used the panel data of 28 provinces (autonomous regions or municipalities) in mainland China from 1985 to 2010(Chongqing, Tibet and Hainan are excluded due to the statistical data missing).
All these data are derived from China Statistical Yearbook, China Energy Statistical Yearbook, China Environment Statistical Yearbook, and provincial statistical yearbook published by the National Bureau of Statistics and provincial Bureau of Statistics of China.

Data of Fujin wind farm are used for this paper to verify the new method of long-term wind power prediction.
This paper presents a rough set method for long-term wind power prediction, which can preprocess meteorological data affecting wind speed and wind power.
Rough set analysis, as a data mining method, has been applied to economic and financial prediction and traffic flow prediction.
Fig.1 Rough set neural network prediction model Data of monthly average wind speed time series from 1991 to 2005 in Fujin wind farm is used to train the net, and data from 2006 to 2010 are compared with the predicted speed.
To test the approach, data from Fujin wind farm are used for this study.

However, analysis of the base current of the base-emitter diode shows that the degradation of the passivation layer could also influence the reduction of the current gain.
The BJTs with WE equal to 30 and 25 µm show a reduction of around 15% during the first 10 hours, while the BJTs with WE equal to 10 and 6 µm show a smaller reduction during the first three hours and one hour respectively.
Only the device with WE equal to 6 µm shows a reduction between 40 and 60 hours.
This behavior, i.e., the reduction of the collector current, has been detected in all the devices summarized in Fig. 1.
However, the value extrapolated from the measured data is around 1.5, suggesting that the degradation of the lifetime in the base region might be only one of the causes for the degradation of the current gain.

How to quickly and effectively for sewage treatment of all kinds of data is to become the important problem of sewage treatment monitoring.
Through the content networking technology to realize the automatic acquisition data information, as well as data remote transmission and exchange, more in line with the monitoring process to the point, more than many elements requirements, in sewage treatment in a very broad application prospect.
Traditional monitoring system distributed by the I/O complete test and control, the equipment and the central control room of data exchange most used the network connection way, in central control room set master station, the equipment from the stand as hanged on the net.
Fig.4 Composite power supply system diagram Wireless network node module According to the sewage treatment process arrangement of each section of monitoring node collection pressure, flow, temperature, liquid level, COD, PH value parameters, then monitor ZigBee wireless network node through the data collected to ZigBee center node, the center of the node through RS232 data to the monitoring center, the monitoring center can real time observation to the site of the equipment operation.
It explores our country characteristics of new roads, ensure environmental protection energy conservation and emissions reduction has the very vital significance.

Dissimilatory sulfate reduction is a process by which the reduction of sulfate to hydrogen sulfide using an organic electron donor (e.g. glycerol) or hydrogen is coupled to energy conservation and microbial growth [2].
The line shown is the best fit based on polynomial analysis of the data.
Fig. 3 shows data from the biosulfidogenic reactor operated under three different conditions: (i) 5 mM glycerol + 0.01% yeast extract, (ii) algal concentrate #1 and (iii) algal concentrate #2.
The change does, however, help explain the low CuS production with algal biomass as this organism is not known to reduce sulfate to hydrogen sulfide (unpublished data).
Stams, Sulfate reduction at low pH to remediate acid mine drainage, J.

The data acquisition is performed with a CMM and a self-centering technique to measure conical sockets manufactured in the faces of pattern artifacts.
· Data acquisition to determine the model using pattern artifacts and measuring them
Data acquisition Spheres are typically used to materialize, through its center, a single point in space.
In a process optimization [7] the coefficients of the polynomial error functions are varied until the measured data and the modeled data match.
Error reduction.

The results show that in the upshifting process, active reduction of engine oil control can improve vehicle ride comfort, but the increase by reducing fuel consumption and reduce the reducing time will lead to increase shift smoothness and increase upshift power loss.
Maintain the fuel reduction of the engine in the process of upshift constant (reduced to 10% of the current amount of oil) when researching the influenceof reduction oil time, according to speed difference between of the both ends of the shifting clutch to decide whether supply the normal oil.Because the engine speed corresponding toin each gear shift points is different i.e. the energy released in inertia phase stage is different, it should be studied separately for each stall.
Fig. 3 Simulation curve of 3-4gear upshiftwhen t2 = 0s Simulation select timeof reduce oil t2 = 0s, 0.25s, 0.5s 0-4 gear upshift research.Through the analysis of simulation data shows the influence of reduction oil time to the performance of vehicle as follows:1.
Influence of the amount of oil reduction in upshift process.When study the influence of the amount of oil reduction, maintain the oil reduction time constant during upshift (T2 = 0.5s), according to speed difference between of the both ends of the shifting clutch to decide whether supply the normal oil.
Reduction oil is selected from the current amount of oil 0%, 20%comparison.