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Because of its hierarchical data structure, multilevel data are often analyzed using Linear Mixed-Effects (LME) models.
Only 316 data points were used for the PSI prediction since some data having predicted PSI values less than zero were excluded.
The combined dataset consists of 1546 data points.
The data collected from longitudinal study is a collection of correlated data.
Model Reduction.

Data gateway, completing data collection, storage, forwarding, protocol conversion and other functions, plays an important role in energy management system.
Introduction At present，energy-saving and emission reduction is the theme of times.
Data gateway, completing data collection, storage, forwarding, protocol conversion, and other important functions, plays a major role in energy management system.
Remote management module is responsible for the remote gateway configuration, management strategy configuration, data error handling strategy configuration, and local access data configuration, etc; Control module is responsible for data collection, equipment management, data processing, data storage, management rules and formulation; Protocol conversion module is responsible for data format conversion and communication protocol conversion.
Data acquisition tables, which save the gathered data and energy meter nodes information.

Noise mixed in the recorded seismic signals often affects the data analysis result.
In addition, the higher sampling frequency of seismic record, resulted in massive monitoring data, the application of split-based FFT algorithms to do spectral analysis of the data, reduce computation and improve the speed of data analysis than base 2FFT and base 4FFT, thereby improving the timeliness of the seismic monitoring system.
A Wavelet Packet Decomposition Technique Principle In the field acquisition of seismic data it was inevitable to contain some regular or irregular interference noise, which would have a significant impact on the geological data interpretation.
Fig4 and Fig5 were data of two channels and the denoising datas.
Fig4 Data processing of channel one Fig5 Data processing of channel two Acknowledgment This work was supported by Team funded projects of the Central Universities basic research expenses and special funds innovative projects (ZY20120101) References [1] RenXueping,Ma Wensheng, XiaoLongsong.

This reaction utilizes a high-temperature reduction using the weakly reducing hydroxyl groups of a solvent such as ethylene glycol.
Reference patterns were from 2002 PDF-2 release from the International Center for Diffraction Data ~ICDD, Newtown Square, PA, USA.
The reduction rate of Cr (VI) concentration by the two iron nanoparticle samples, respectively, was measured over time.
The free and immobilized on resin iron particles were then compared in terms of Cr (VI) reduction rate.
Figure 7a shows the kinetic data during the reduction of Cr (VI) by iron nanoparticle immobilized on CMC substrate at room temperature whereas Figure 7b shows the kinetic data resulted from free the iron nanoparticle sample.

Kinetics of iron oxides reduction in a blast furnace The mechanism of reduction of iron oxides in a blast furnace is shortly characterized on the basis of data [4, 11].
The essence of the method consists in reduction of test by carbon monoxide under the set temperature conditions and definition of extent of reduction by results of the chemical analysis of the initial and reduction test or loss of mass of oxygen at reduction.
Such design of a reactionary glass allows to avoid a stream limited mode at rather small expenses of gas and to neglect internal diffusion resistance when processing experimental data [10].
Then it is necessary to construct the schedule of dependence of the actual extent of the reduction calculated by results of measurement of loss of mass of reduction test from reduction time.
Reduction Kinetics of IronOre Materials by Gases.

Formal concept analysis and rough set theory provide two different methods for data analysis and knowledge processing.
For an initial data sets described by formal context, look for absolute necessary attribute sets by applying rough set theory.
Introduction Rough set theory put forward by Pawlak is a new mathematical method in the domain of intelligence data analysis and data mining.
As the powerful tool of data analysis and knowledge process, concept lattice has already applied widely in the domain of knowledge engineering, data mining, information retrieval, software engineering, etc[5～6].
Data sets are described by formal context exactly.

Based on the direct reduction alloying theory, experiments on chromium molybdenum alloy prepared through the direct reduction and alloying reactions between the high-carbon ferrochrome and molybdenum oxide were conducted in a laboratory scale.
The critical factors that would impact the reduction rate of molybdenum oxide and the yield rate of molybdenum were analyzed.
As a result, the method of direct reduction alloying through oxidized ores has gained more and more attentions [2-3].
Table 1 Chemical composition of molybdenum oxide(wt.%) Mo CaO SiO2 Fe S P 52.97 3.51 12.49 2.93 0.14 0.03 Table 2 Chemical composition of high-carbon ferrochrome(wt.%) Grade Cr C SiO2 S P Fe FeCr55C10.0 56.11 8.79 1.83 0.07 0.033 Rest Table 3 Experiment design and data statistics Number FeCr55C10.0/g molybdenum oxide /g Temperature /℃ CaO/g SiO2/g 1 300.35 52.90 1500 11.34 6.50 2 300.11 53.20 1550 11.09 6.11 3 299.76 53.11 1600 11.05 6.23 4 300.58 30.90 1600 11.22 6.48 5 200.12 52.92 1600 11.04 6.26 6 299.70 74.75 1600 11.06 6.33 7 300.45 53.15 1600 - - 8 299.84 53.10 1600 14.15 3.89 9 300.24 52.72 1600 11.17 6.10 10 300.17 53.14 1600 11.28 6.23 The reduction experiments were carried out in a graphite tube resistance furnace, which power is 50kW and the size of the operational zone is Φ160×200mm.
The reduction rate of molybdenum oxide is completely higher than 90%.

In this paper, the principal component analysis method is applied in the underwater image data for detecting the image objects.
To these problems, the most promising solution is to perform dimensionality reduction on the image data.
By this assumption, PCA is limited to express the data as a linear combination of its basis vectors.
Let be the original underwater image data set, in which each column is corresponding to a single sample.
Experimental results 4.1 Feature extraction by dimensionality reduction Figure.3 Dimensionality reduction In order to visually represent and compare the inter-class difference and the inner-class difference of the feature extracted by the linear dimensionality reduction methods, we embed the image data in the high-dimensional space onto the two-dimensional space.

The data come from SQL Server 2000 and create the structure of data warehouse.
Building the Data Warehouse.
Data Warehousing: Bringing It All Together.
Data warehousing fundamentals, 2nd Edition.
Current Practices in Data Warehousing.

The test data of bolt stress shows that the internal stress in slope is tensile stress. 5m depth bolt stress changed very small, and 1m depth bolt data where has the maximum stress changed more clearly.
The test data of Dayu expressway project test verified the bedded rock slope was safe to operate.
The result of the project stress monitoring data shows that the existence of structure planes were the most important factor that affect the stability of rock slope，and this location should be emphasis to monitoring.
Test data of blot stress Acknowledgements This work was financially supported by Major State Basic Research Development Program of China (“973” Program, No. 2011CB013800).
LIAN, Stability analysis of excavation by strength reduction FEM: Chinese Journal of Geotechnical Engineering, vol.23, pp.407-409 , (2001) (In Chinese)