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The reduction of GHG emission leads to a foremost objective of contemporary energy and environmental policy in the world.
Research on CO2 emission is essential to decision makers in countermeasure development and strategic planning in order to achieve the goal of national carbon emission reduction.
Data Resource The GIOV and energy consumption used in this study is statistical data from China Statistical Yearbook (CSY, 2002-2012)[12] and China Energy Statistical Yearbook (CESY, 2002-2012)[13].
To prepare the data for the complete decomposition analysis by subsectors, the economy of manufacturing industry in China has been divided into 31 subsectors, known as Manufacture of foods, Manufacture of beverages … Manufacture of artwork and other manufacturing, and Recycling and disposal of waste.
All of the above data provides a direction for the shift of the manufacturing industrial structure, that is accelerating the speed of technology-intensive subsectors development and reducing the proportion of capital-intensive subsectors in order to decrease CO2 emission.

The mean particle size of the silver particles and the standard deviation of particle population were determined from image analyses of the micrographs of these particles, while data were analyzed by means of the Origin 8.0 software.
The insets in Fig.1 (a,c,e) are the close-up view of the corresponding images respectively and Fig.1 (b, d, f) shows the corresponding particle size distribution histograms of silver micrometer-sized silver particles evaluated from the corresponding electron micrographs, in which the solid line is Gaussian fits of the data.
Fig.1 SEM image of the silver particles prepared with thedifferent concentrations of AgNO3 solution (a=0.1M, c=0.3M, e=1.5M, b, d, f were the particle size distribution histograms of silver micrometer-sized silver particles evaluated from the corresponding electron micrographs, in which the solid line is Gaussian fits of the data.
(2) The ascorbic acid played a dual role of reductant and dispersant in the reduction process
Imai, Morphological evolution of silver crystals produced by reduction with ascorbic acid, Journal of crystal growth, 241 (2002) 193-199

The validation of the methodology adopted for the analysis has been carried out with respect to airframe temperature data acquired during a flight trial of the missile.
During the analysis, the solver interpolates the data provided by the kinetic heating code, for the estimation of heat load at any given node based on its location, time and temperature.
Validation The prediction methodology has been validated using the temperature data acquired during flight [12].
The comparison between predictions and flight data is shown in Fig. 9.
It is observed that the predicted temperature profile is in fairly good agreement with the measured flight data.

The annealing process also improves grain crystallinity, as shown in the decrease in intrinsic compressive stress based on the X-ray diffraction lattice constant and full-width at half-maximum (FWHM) data.
The reduction in breakdown voltage can be clarified by the increment in the average grain size after the sintering process, thus reducing the numbers of grain boundaries between the electrodes and causing the reduction ‘p-n junctions’.
The big drop in ρ can be attributed to the reduction in the potential barrier between the ZnO grains.
This reduction results from a very high growth of grains in the ZnO nanoparticles after sintering, which decreases the number of grain boundaries between the ZnO grains, thus reducing the potential barrier.
Summarized data from SEM images, XRD patterns, and electrical test Sample Annealing ambient SEM XRD Electrical parameters Grain size (μm) intensity (a.u.) 2θ (deg.)

The use Global Positioning System (GPS) derived data for the creation of a management database is discussed.
Geospatial Information System (GIS) technology is a tool which aids in the administration and analysis of geo-spatial data, predicts trends, integrates and presents real-time data in all mobile and stand alone systems, and acts as mobile data management.
The study includes: Literature review; field data acquisition; geospatial data acquisition together with transect cutting; accurate positioning of soil and water sampling points; determination of the vegetation boundary for preparing land use maps of the impacted area; the laboratory analysis of the data and computing/ data analysis.
Data processing and representation: The acquired field survey data were reduced and computed to give the coordinates of the spill site, and terminal points of the transects.
Management database for the data generated from Jesse spill and fire site: Since most of the data acquired from topographical maps and field surveys were used for geo-referencing of soil sampling points, water sampling points; vegetation etc, their spatial data as well as their attributes were stored, managed and queried in a GIS management database.

Slightly weathered dolomite limestone Intermediary weathered dolomite limestone Tunnel-type anchorage Pile foundation of bridge Fig. 1 The geological section of the bearing slope According to the geological investigation and borehole data, there is a group of dominant joint plane whose average occurrence is 308°∠85°.
Although the plastic zone will develop further with increasing reduction degree of rock and soil’s shear strength, it won’t necessarily become connected from toe to top.
Therefore, when performing the stability analysis of slope with strength reduction method, connected plastic zone of critical part can be the failure criterion of slope, and taking the displacement or stress distribution of potential sliding mass into account, the reduction coefficient is the right safety coefficient
Initial reduction coefficient is 1.0 and then increases bit by bit.
Study on slope failure criterion in strength reduction finite element method.

According to experimental data, the estimation of threshold SIF turns out from sharp "v" notch data: 5.0 th mmMPa8.218K =∆ , hence mm233.0a0 = .
By so doing, the defect free material strength can be estimated from one of the notched specimens data (as an example the larger one) and it results MPa354 ' 0 =σ∆ , hence new material parameters turns out to be mm11.0a0 = and new prediction is given in fig. 4.
Its worth noticing that experimental data are fitted by this improved model very well.
Overall behavior and failure modes comparison In general the new model introduces a new degree of freedom (the strength of un-defected material) it is obvious that a model with more degrees of freedom is generally capable of better fitting experimental data.
If we consider the scatter of experimental data, it is possible to compare scatter bands (mean ±standard deviation) of defected material and semicircular notches, according to the improved model, and results are given in fig. 5.

Notch sensitivity data was compared with those of steels.
Stress concentration factor not only depends upon the geometry of the notch but also the mode of loading.This factor is difined by maximum local stress(s{TTP}-3981 max) to nominal stress(s{TTP}-3981 nom) ratio: (1-1) The commonly used equation for obtaining Kt : (1-2) a and b as were shown are in figuare (1-1) Notch radius( r{TTP}-3982 ) equals to[8]: (1-3) So the above equation can be written as the following way: (1-4) Fig. (1-1) Schematic of stress distribution around a crack perpendicular to applied stress [7] The presence of the notchs generally reduces fatigue strength but this reduction amount is lower than the reduction by stress concentration factor.Fatigue resistance reduction can be defined by fatigue notch factor[2]: Unnotched fatigue limit Kf = (1-5) Notched fatigue limit When Kf =1,
there is no degradation in the component due to the notch and when Kf = Kt the notch produces the full theoretical reduction in the fatigue limit.
It means that notch sensitivity reduction is related to notch size.
Notch size effect in fatigue limit is expressed as the most important reason for increasing of fatigue limit with notch size reduction.

Also, reduction of oxide ceramics by radiation effects will be another topic which is attracting interests.
Rreduction of the electrical conductivity is clearly responding to reduction of the electrical conductivity of the lower temperature component.
Figure 2 Electrical conductivity under the irradiation (RIC data compiled by T.Tanaka[5]) With decrease of the base electrical conductivity from 2x10 -8S/m to about (2-5)x10 -10S/m, the radiation induced (enhanced) electrical conductivity of about 2x10 -9S/m surfaced even in 14MeV neutron irradiation at 293 K[3], after irradiation up to about 2x10 18 n/m 2.
The electronic excitation dose rate was estimated to be in the range of 10 -2Gy/s and observed increase of the electrical conductivity was higher than the accumulated RIC data as shown in Fig. 2.
The electrical conductivity of 1.2x10 -6 at the beginning of the irradiation and 6x10 -7S/m at 3.6x1023 n/m 2 fast neutron fluence, at 2 kGy/s were observed for BaCe0.9Y0.1O3-δ at about 520K, and 8x10-7S/m at 230 Gy/s for CaZr0.9In0.1O3-δ at about 420K, all of which are also within the scatter of accumulated RIC data[7] as shown in Fig. 2.

In the saving process, the user saves the motor angle trajectory, which is controlled by a position command, which is based on the input data given by the force sensing handle described in M-1.
The load disturbance on the output side of reduction gear can be reduced to input motors to about 1/n2 (n is the reduction ratio).
The motor position data are transferred to the PC through CAN in real-time (100Hz, 1Mbps) and they are saved in the PC.
In the playing mode, the manual operation mode is disabled and the motor data are transferred from the PC to IB to control the motors, automatically as shown in fig. 2.
The robotic follow spot system has 4 channels for follow spot light control and 6 channels for pan-tilt motion data and mode selection.