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One of the possible ways of iron mineral formation is an extracellular reduction of amorphous Fe (III) oxides and hydroxides by dissimilatory iron-reducing bacteria.
The investigations of biogeochemical transformations accompanying microbial iron reductions have been increasing in last years [1-3].
According to the X-ray diffraction data, the initial SF is an X-ray amorphous material.
The data were obtained with applied field of 5 kOe and 10 kOe for N1 and N9 respectively.
The reductions process lead to an appearance of Fe2+ atoms in B-positions.

Noise reduction coefficient (NRC) was computed to compare the performance of the palm date fiber samples for the different densities.
In this research the experiment was conducted using two impedance tubes of 28 mm and 100 mm diameters, noise generator, two channel data acquisition system 01 dB, two ¼ in microphones type GRAS-40BP in each tube, software package SCS8100.
Noise reduction coefficient (NRC) was computed to compare the performance of the palm date fiber samples for the date palm fiber panel of different densities.
Table 1 shows the data for the noise reduction coefficient for the samples.
Noise reduction coefficient was computed to compare the performance of the palm date fiber samples for the date palm fiber panel of different densities.

The result also indicates that the annual reduction of ITS value for an area similar to the study area may be taken as approximately 11% (33.14/3 %) and 4.7% (13.98/3 %) for the conditions of high traffic flow and low traffic flow, respectively.
Document all the data preparation needs that will be required in order to execute the test cases.
This may include items such as how databases should be populated, or production data will be used for next step.
This consistency is characterized by a stream of data falling within control limit.
These control limits are chosen so that almost all of the data points will fall within these limits as long as the process remains in-control.

High impact application opportunities, where SiC devices are displacing their incumbent Si counterparts, have emerged and include automotive and rail power electronics with reduced losses and reduced cooling requirements; novel data center topologies with reduced cooling loads and higher efficiencies; variable frequency drives for efficient high power electric motors at reduced overall system cost; more efficient, flexible, and reliable grid applications with reduced system footprint; and “more electric aerospace” with weight, volume, and cooling system reductions contributing to energy savings.
These calculations do not include additional processing cost reductions that will come with streamlined mass production in large 200 mm volume fabs/foundries.
SiC device fabrication in volume fabs alongside Si has emerged as a “cost reduction” model exploiting “silicon” manufacturing economies of scale.
Lower fabrication costs in a fully depreciated Si+SiC “capacity loaded” fab, coupled with decreased material costs can lead to significant price reductions for SiC devices.
Valuable SiC reliability data has been accumulated over years of field operation and is driving device optimization.

FEM simulation leads to reduction of costs in comparison with physical modeling.
The stress-strain curves for 193 K and 77 K were approximated with using data from [21].
So the rolls velocity ratio was equal to thickness reduction per pass in all calculation variants.
If rolling velocity is 0.05 m/sec then reduction per pass should not exceed 10%.
If rolling velocity is 0.05 m/sec then reduction per pass should not exceed 10%.

We collect the human data by non-contact 3D body scanner and manual measurement.
Use the Explore process of SPSS software to test singular numerical data, through the box to find the samples that contained singular values, put forward all data of the samples in further.
And test the data weather accord with normal distribution by Q-Q probability plot.
In order to simplify the measured data to represent the most information of lower limb, we make the factor analysis of the measured data.
Table 4 shows the final cluster centers, compared to the initial clustering center, corresponding changes have taken place in the data for the final average of data in each category[5].

After the reduction step, the reactor was purged with a He flow at 250 ºC for 30 min and was cooled down to 90 ºC at which the N2O titrations were carried out.
The CO2 conversion and CH3OH selectivity were obtained from the GC data, in which N2 is the internal standard gas.
The TPR profiles revealed that all catalysts displayed a similar reduction profile with a main reduction peak in the narrow range of 326–345ºC.With the increasing of the Zn/Zr ratios, the reduction temperature took on a volcano variation trend.
When the amount of Zn or Zr was higher, the reduction temperature was lower.
The result indicated the synergy of Cu-ZnO and the dispersion of Cu had influence on the reduction temperature simultaneously.

More internal transistor of GPU is used as a data processing rather than process control.
Parallel processing design is divided into two steps, namely, parallel mark and parallel reduction (combined).
Reduction operation requires reduction of the length of the object is 2n (n> = 1), so pretreatment need to read binary image from the peripheral into memory, and processed into a suitable two-dimensional array by CUDA processing.
Reduction operations is a typical example of the CUDA programming, such as dot product operation is a typical multi-input single-output reduction operation.
Between rows reduction operations performed alone and has no effect between rows.

On the other hand, annealing at 850°C led to a further reduction of RC , with a slightly increasing dependence of RC on the measurement temperature (here regarded as a “metal-like” behavior).
The experimental data could be well fitted with a thermionic field emission (TFE) model, i.e. with a dependence like [12] with and , FB and ND are the barrier height and the carrier concentration, and C1 is a function of ND, T and FB.
By the fit of the experimental data it was possible to extract a Schottky barrier height ΦB = 0.85 eV and a carrier concentration ND = 1.75´1019 cm-3.
In this case, the data were fitted by the function RC µ Tα, with α = 1.8.
As already demonstrated by combining X-ray diffraction data with EDX analyses on various parts of the layer, the Au-rich regions of such samples can attributed to the presence of the AlAu4 phase [16].

The cotton sound signals are exposed to interference and influence of some kinds of noise signal in the process of the data measured.
It is well known to any scientist and engineer who work with a real world data that signals do not exist without noise, which may be negligible (i.e.
However, there are many cases in which the noise corrupts the signals in a significant manner, and it must be removed from the data in order to proceed with further data analysis.
It must be removed from the data in order to proceed with further data analysis.
So in practical applications, before analysis of the data measured, it is the need for de-noising processing.