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The data indicate that both cultures are able to reduce soluble iron(III) by oxidation of sulfur compounds under anaerobic conditions.
A significant pH drop from 1.8 to ~1.2 indicated oxidation of sulfur compounds to sulfuric acid in all the tested assays (data not shown).
Table 1 summarizes the data for pressure effects on growth and iron(III) reduction by the enrichment culture TK65.
When the pressure increased from 1 bar to 100 bar, cell growth was inhibited by 27 up to 39% as indicated by direct cell counts and qPCR data.
Iron(II) ions (mM) Cell count (/mL) Gene copy number (/mL) S0, 1 bar 27 1×109 5×109 S0, 100 bar 20 8×108 3×109 Summary The data show that mesophilic and thermophilic acidophiles are able to reduce soluble iron(III) by oxidation of sulfur compounds under anaerobic conditions at 100 bar.

Introduction The classification has been an important research topic in data mining, which aims at building a high-performance classifier to confirm the optimal class label of one or some specific data sets clearly [1].
This can improve the stability and accuracy of the algorithm and can be applied to more data sets.
The correct rate description is the percentage of the instance successfully predicted in the given test data sets and the given data sets. 10-fold cross-validation method is used in the test.
In this paper, attribute order is used to describe a set of data attributes and a weighted reduction based on attribute order Naive Bayes mining algorithms is proposed.
Data mining concepts and teachniques[M].Beijing：China Machine Press,2001:30-50

Clustering the data generate data groups, the groups considered classes.
Algorithm Attribute Reduction of Raw Data Suppose U is the entire data domain, Ui is the ith element in U, i∈ 1,2,3 ...
After removing certain "problem data", we obtained 94 groups of original data.
Some samples of input data C No.
DATA,2007,1-2:31-33

Introduction The theory of rough sets [1], proposed by Poland mathematician Pawlak in 1982, is a mathematical method to deal with insufficient and incomplete data.
It is a set-theory-based technique to handle data, that is, through the known information to approximately describe the uncertainty concept [2, 3].
Reduction of Multi-covering Information System and Consistent Decision System Reduction of multi-covering information system.
Then we study the reduction of this case.
Pawlak, Rough sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, boston,1991

Noise reduction.
The noise reduction and ventilation cooling is contradictory each other for urban indoor substation.
The measurement data of before and after renovation demonstrated that this renovation on noise reduction and ventilation cooling has a visible effect in meeting the national standard for noise level of the substation surrounding as well as in improving the cooling effect significantly.
It can be also seen from the comparison data before and after renovation in Table 4, the installation of indoor sound-absorbing wall can reduce indoor noise about 5-6 dB, the soundproof walls and the air intake silencer can reduce the nose about 16-17 dB of noise, which meet the predict requirements for noise reduction.
The measurement data of before and after renovation demonstrated that this renovation on noise reduction and ventilation cooling has a visible effect in meeting the national standard for noise level of the substation surrounding, as well as in improving the cooling effect significantly.

From the ring-disc data and other kinetic parameters it has been assumed that the oxygen reduction occurs by dissociative chemisorption at low overpotentials.
Id data used for these plots were corrected from mass transfer interference using the procedure described by Gojkovic et al
Plots of Id/Ir vs. ω-1/2 obtained from the experimental data of the present study for the LBM catalyst at various electrode potentials have been drawn (Fig. 4).
But in view of the present RRDE data in which one observes that the end product depends on the applied potential, it has been assumed that the HO2 ion maintains an adsorption-desorption equilibrium and this equilibrium constant may be dependent on the potential of the electrode.
Suggested model for O2 reduction in KOH solution.

(RLB2) 12) Protection of the financial and personal data of customers.
(ETM3) Sample Design and Data Collection Data were collected using self-administered questionnaires according to service quality scale from the college students (167 of 175 copies are valid).
Factor analysis is a technique for data reduction.
It offers mathematical tools to discover patterns hidden in data.
Information-preserving hybrid data reduction based on fuzzy-rough techniques.

The method can be divided into 4 parts: dimension reduction, data segmentation, feature extraction, and feature cluster.
Methodology The cluster analysis model based on RSF is composed of 4 parts: dimension reduction, data segmentation, feature extraction, feature cluster.
Step1 Dimension Reduction In general, there are only several dimensions of the high-dimensional data are important to the underlying information.
Step2 Data Segmentation The second step is to segment the data set after dimension reduction.
Step2 After data dimension reduction, we execute the data segmentation to the 701×601×2 data set with the improved high-dimension RSF model based on level set formulation.

Some attributes of data lose in the course of data collection due to the abnormal work of the terminals.
The incompleteness of data brings tremendous difficulties to data fusion and data mining, impeding the development of computer application, especially the Internet of Things.
After getting attribute reduction, the paper improves the method for filling incomplete data based on similarity to fill the important attribute of the incomplete data.
Conclusion With rapid development of the Internet of Things, a large number of collected data are incomplete, which brings difficult to data mining and data fusion and a serious impediment to the application of the Internet of Things data.
Study on data reduction algorithm based on rough set[J]. 2011,23(7):405-413

According to reduction-factors of shear strength indexes, cohesion C and angle of internal friction j, SRM is classified into two types, single reduction-factor method that reduction-factors of the two indexes are same and two reduction-factors method that reduction-factors are different.
The computed results of 9 different reduction conditions by FLAC SRM and SRSM are listed in table 1, where the 6th reduction condition is just single reduction-factor method, and errors mean the difference of two reduction-factors obtained by FLAC SRM and SRSM.
Table 1 Reduction conditions and reduction-factors computed by FLAC SRM and SRSM Number Reduction condition Two reductoin-factors Error [%] Single reduction-factor FLAC SRM SRSM 1 Only C is reduceed, i.e the 1st pattern.
As shown in table 1, these can be seen as follows: (1) under the different conditions, values of two reduction-factors of C and j are not completely equal obtained by either of FLAC SRM and SRSM, so safety margin of the two indexes should not be same; (2) values of two reduction-factors obtained by FLAC SRM and SRSM are rather close, small errors in which maximal data is only 2.04%; (3) two reduction-factors under the different conditions have regularity that with increase of n, SRF1 goes up, SRF2 goes down, and increase rate of SRF1 is more than decrease rate of SRF2; (4) all single reduction-factors F are more than the lowest safety factor Fmin=1.259 which is the value of the 6th reduction condition, and this illustrates that the every two reduction-factors condition is not the most dangerous in single reduction-factor case;(5) single reduction-factor method is only a special case among different reduction methods.
(4) Which reduction condition of two reduction-factors method is suitable for a specific slope?