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The data have provided useful insights into the 3D geometric complexity and its control over the mechanical and hydrological properties[1].
In contrast, there is a paucity of mechanical and microstructural laboratory data on porous limestone.
Micro CT data on intact samples μCT data were acquired on cylindrical samples (4 mm diameter) of intact Indiana limestone at the High Resolution CT facility at University of Texas at Austin, with a relatively refined resolution of 4 μm (Fig. 1).
Microstructural analysis and CT data on deformed samples The μCT data on a sample of Indiana limestone deformed hydrostatically up to 175 MPa of confining pressure highlight macropore collapse as the dominant mechanism for the inelastic compaction (Fig. 7a).
We would like to thank the laboratory 3S-R in Grenoble where part of the CT data was acquired.

At present, the most of studies on resource allocation mainly focus on improving the overall performance by balancing the load of data center.
At present, the most of studies on resource allocation mainly focus on improving the overall performance by balancing the load of data center, but they didn’t give full consideration to how to reduce energy consumption.
By estimation, China Data Center consumed 7 million KWh power in 2011 which takes up 5% of China’s total power consumption.
The increase of resource utilization rate both saves energy and reduces emission of CO2 such that it contributes to reduction of greenhouse effect, be significant to protection of the whole ecological environment and conforms to present idea of “Green IT” [5,6].
The performance of proposed method is verified by the mode of integrating theoretical, simulation and test analysis and further optimized on the basis of analysis simulation and test data for providing high resource utilization rate and energy-efficient data center and laying basis for design of allocation of resources at upper level.

During testing, the plate and the data acquisition system are placed in a large closure (2.5m×2m×1.5m) in order to maintain the natural convection condition.
Temperature data recorded by a HP data acquisition system are finally transferred to a personal computer for further analysis.
The experimental data for the coated surface presented in the following sections are all the results for a coating thickness of 0.06 mm.
When the plate temperature reaches its prescribed value and the whole system is steady, the plastic film is ripped away and timing and data acquisition are started.
The reduction in the thickness growth of the deposited frost layer is greater than 40%.

These results were validated by the comparison with the data obtained from the first experimental campaign.
Results in terms of strain distribution, evaluated by a Digital Image Correlation (DIC) system, were compared with data from the first experimental campaign in order to find a correlation between the major strain values along the longitudinal axis of the specimen and the mechanical properties at different temperature levels.
In the following sections results in terms of Yield Stress (YS), Ultimate Tensile Stress (UTS) and Uniform Elongation (UE) have been shown (data are average values of two results).
A further increment of temperature leads to an early reduction of the material strength (overaging).
Figure 6: Major strain profiles at 50% of the necking strain and at the necking stage Using local data from the DIC system during tensile tests, the major strain values at both stages were correlated to the local temperature values the specimen experienced during the heat treatment by Gleeble.

Based on 33-year typhoon information of South China Sea (SCS) in 1980-2012 and NCEP/NCAR reanalysis data, taking Climatology and Persistence (CLIPER) and earlier physical quantities predictors selected by Stepwise Regression (SWR) and Multidimensional Scaling (MDS) methods as model inputs, the Genetic Algorithm-Artificial Neural Network (GA-ANN) forecast model was built for typhoon gale.
Neural network ensemble prediction modeling for typhoon gale and results analysis 3.1 Data and prediction objects The 33-year tropical cyclone tracks dataset (CMA-STI) in 1980-2012 were provided by Shanghai Institute of Typhoon, and reanalysis data of element fields and physical diagnose data for each day were from NCEP/NCAR(the spatial resolution is 2.5°×2.5°and temporal resolution is six hours).
Taking tropical cyclone centers as the datum marks, surface wind velocities were located at 6×6 grid points around the datum marks (as shown in Fig.1, the positions of wind velocities at 36 lattice points move as tropical cyclone centers move).
The input nodes of GA-ANN were the same with regression models, except for adding 2 manifold learning factors by MDS dimension reduction process. 36 GA-ANN 24h prediction models for wind velocities were built.
Nonlinear Dimensionality Reduction by Locally Linear Embedding[J]．Science, 2000, 290,(5500):2323-2326

On the contrary, rolling is the most probable technique to be scaled for fabricating large bulk sheet or plate samples, however there are very limited data on superplasticity of rolled Mg alloy [24].
Afterwards, the TRC sheets were heated up to 400 °C, kept at this temperature for 2 h, then rolled by multiple passes (with about 10% of thickness reduction per pass) with re-heating between them, according to the data in Table 2.
The sheets were reduced down to 2.7 mm, which corresponds to a total thickness reduction of about 60%.
The reduction in the grain size, characterized by an average value of about 7 m, is evident.
The larger grain size measured in the specimens tested at the lower strain rate of 5·10-4 s-1 is clearly related to the longer exposure time at the testing temperature, as shown by the data in Table 3 [30].

Results indicated that salinity caused significant reduction in germination vigor (GV), relative percentage of germination (RGP), relative radicle length (RRL).
Furthermore, salt induced adverse effects at the germination and early seedling growth stages cause a substantial reduction in growth and yield.
GV reduction ranking for four species was oil sunflower > rape > soybean > false flax when saline concentration increased from 0 to 3g/L.
But, more insects caused damage to false flax when it was grown in saline soil in north of China compared with soybean, rape and oil sunflower (the data is not shown).
But, after droughty spring in north of China, it grew so quick so that its height of growth, development and yield were much better than other four species (data did not be shown here).

Numerical results have been finally compared to experimental data to preliminary prove the effectiveness of the proposed degradation model.
In the next sections, the numerical application, including the specimens’ geometrical description, loading conditions and comparison between experimental data and numerical results, is introduced and properly commented.
In Figure 3b, the results of the numerical thermo-mechanical simulation are compared to experimental data.
The numerical results have been compared against experimental data from an ad-hoc performed experimental campaign.
The numerical model produces results comparable with experimental data up to a temperature of 500 K.

It should be noted that the above-mentioned researches normally analyze the behavior of the non-destructive pile under tension, and very limited field data is available for the destructive field test on the tension pile.
The settlement at the pile head was derived from the measured data using the dial gauges located at the pile top.
However, when the skin friction is fully developed, the skin friction softening is existed and accompanied with a reduction in skin friction.
Unlike the results of the non-destructive tests, the softening is accompanied with a reduction in skin friction and can be observed along the pile depth.
When the skin friction is fully developed, the softening is accompanied with a reduction in skin friction

Software Reliability Demonstration Testing Plan Based On Bayesian Theory Qiuying LI1,a, HaonanTong1,b 1 School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, China ali_qiuying@buaa.edu.cn, btonghaon@163.com Keywords: Bayesian; Demonstration testing; Software reliability; Plan; Zero-failure data Abstract.
To address this problem, by introducing the construction method of multilayer prior distribution function into the software reliability demonstration testing plan, this paper put forward a new Bayesian software reliability demonstration testing plan with zero-failure data, which can be used for highly reliable software reliability demonstration testing.
This paper put forward a new Bayesian SRDTP by constructing multilayer PDF with zero-failure data, whose main idea is to select the decreasing function of reliability parameter as the kernel function of PDF, which appropriately describes the characteristics of highly reliable software with the probability that failure probability takes a large value is low and failure probability takes a small value is high.
Compared to TBSRP , the test case number’s reduction is 2156 (72%). 2) TBSRP chooses Beta function to depict PDF, but when the corresponding PDF is , namely failure probability obeys uniform distribution, which obviously violates the characteristics of highly reliable software.
Singpurwalla: Methods for Statistical Analysis of Reliability and Life Data (Wiley, New York 1974)