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The crystalline phases were identified using standard cards from the International Centre for Diffraction Data (ICDD, Newtown Square, Pennsylvania) Powder Diffraction File database.
The adsorption isotherm data are characteristic of each system and its analysis is crucial for understanding the adsorption mechanisms.
Lovley, Dissimilatory Fe(III) and Mn(IV) reduction, Microbiological Reviews 55 (1991) 259-287
Ballester, Bio-reduction of Fe(III) ores using three pure strains of Aeromonas hydrophila, Serratia fonticola and Clostridium celerecrescens and a natural consortium, Bioresour.
Data 45 (2000) 575-584

The present noise reduction methods, such as wavelet decomposition, empirical mode decomposition, acoustic emission technique, etc., achieved some effect but simultaneously lead to the reduction of fault signal.
Let noise intensity D=2.31, the data length L=4096 and sampling frequency is 10Hz.
During the experiment, the data acquired by an accelerometer mounted on the top of the bearing holder on left side.
As the sampling frequency is 25.6kHz, the experimental data should been preprocessed by scale transformation [11].

On one hand, these traditional methods can only give the data of organic carbon content but they can't obtain a full picture of the nature of organic carbon composition.
Comparison test data on different sediment powder materials samples.
Sample data respectively are shown in Table1- Table 4.
Therefore there may be occasional errors in the processing of powder materials samples and even individual relatively large deviation of data.
With the depth of research and fully obtained data, the increase in organic carbon fingerprint library data, we can further analyze the sediment powder materials dynamics curves and further improve the practicality of the method.

According to the data, in general, increasing the time of treatment of sulphurised PE in the thallium salt solution may lead to a faster rate of sorption and larger amounts of thallium.
For more accurate composition data the thallium sulfide layers were studied by X-ray photoelectron spectroscopy.
The XPS analysis data shows that the composition of TlxSy layers formed under different conditions is very similar.
The XPS analysis data gives only approximate x and y values in the TlxSy layers obtained.
The data shows that the overall composition of the layers obtained is very close to TlS.

The pre-processing in forging employed standard data— material selection, billet drawing, top and bottom dies design, meshing and simulation control.
The data highlighted that higher forging temperatures result in lower deformation resistance and that maximum effective stress and strain decreases as forging temperature increases.
The DEFORM-3D software basic modeler was used to generate material inter-object material data, which was then used to determine the link between the changes from one phase to the next.
Using the DEFORM 2D User's Manual,[28] proposed material data, Pre-Processor, and Post-Processor simulation techniques.
A "database" is the primary data storage location for both original input and selected solution steps, and it encompasses the whole simulation set of data, including simulation control, object data, relational inter-object data, and material data [28].

The carbothermal reduction of the xerogels produced porous SiC with a surface area of 112 m2 /g.
Parmentier et al. prepared mesoporous SiC by infiltration of carbon into MCM-48 and then carbothermal reduction.
The carbothermal reduction of the xerogel.
The FTIR datas were collected using a Nicolet 470 FTIR spectrometer operating at a resolution of 4 cm-1.
In other hand, cobalt component in the xerogels also acts as catalyst during the carbothermal reduction.

An approximate power function relationship between the roughness and the fatigue life was established through the fitting of the experimental data.
On the whole, there is a trend that the greater the roughness is, the lower the fatigue life is, although some individual data is biased because of intrinsic discreteness for the fatigue test.
Ten group data, displayed by the solid circle dots, scatter in the figure.
A power function curve was used to fit these data.
An approximate power function curve was fitted using the experimental data.

To investigate this, artificial analytical data were processed in MATLAB environment to estimate the modal parameters.
Platt in [4], [5] explain how to fit experimental data using SDOF and MDOF techniques.
In the current work, this data will be used to find the modal parameters of the system [3].
To do this, the next step is to estimate the roots and residues from the sampled data.
The simulated analytical data is very useful because the exact values are known.

Noise analysis of a range hood Zhang Wei, Su Ronghua, Gao Yang, Shen Hongshuang School of Mechanics and Engineering, Liaoning Technical University, Fuxin, Liaoning 123000, China zhw487891@sina.com, suronghua2006@163.com, 599106955@qq.com, 2464449401@qq.com Key words: fan; spectrum analysis; vibration and noise measurement; modeling; noise reduction Abstract: In order to find the vibration and noise sources of a certain type of range hood and analyze the aerodynamic noise's generating mechanism of it, vibration and radiated noise produced by a working range hood were measured with vibration accelerometers, microphones and other precision instruments under the condition of semi-free sound field, according to the national standards.
More and more attention is being paid on the studying of noise reduction of range hood [1, 2].
Spectrum analysis methods were adopted to analyze the test data, and the noise sources of the range hood were finally found.

It was shown that the proposed model could be applied for the present data.
An empirical equation to describe the reloading stress relaxation data at specific reloading time intervals was proposed by Chiaki Tanaka and Toshio Ohba[4]:
Taking into account Eq. 2 the reloading relaxation problem is formulated as follows: (6) Experiment results and Discussion The minimum creep strain rate versus stress data at 500°C for 1Cr-0.5Mo-0.25V steel are shown in Fig. 1(a), given in the NRIM data sheets[6].
And Fig.4 depicts the good correlation of the reloading stress relaxation data at 240hr time interval with the calculated curves using Eq. 6 for 1Cr-0.5Mo-0.25V steel at 500°C.
Vol. 195(2008), p.263 [7] NRIM Creep Data Sheet No. 44, National Research Institute for Metals, Tokyo (1997).