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A loss of anaerobic ferric iron reduction ability has been observed in ferrous iron-grown A. ferrooxidans CCM 4253 after aerobic passaging on elemental sulfur.
The authors proposed that Fe3+ reduction is mediated by an indirect chemical reaction with H2S in the acidic medium.
The MASCOT 2.2 search engine (MatrixScience, UK) was used for processing the MS/MS data.
List of selected proteins repressed in A. ferrooxidans CCM 4253 cells unable to catalyse ferric iron reduction during anaerobic sulfur oxidation.
Hydrogenase is a membrane-bound, nickel-containing enzyme produced under anaerobic conditions that catalyses the H2-dependent reduction of quinone.

Clustering analysis of high-dimensional data is one of the challenging issues in data mining.
Characteristics and Difficulties of High-dimensional Data Characteristics of High-dimensional Data.
(1) data sparsity: Due to the growth of data dimension, sparsity is data objects’ inherent characteristic in space distribution.
(4) effective dimension reduction methods: High-dimensional data clustering has an important characteristic, local feature selection that makes it different form traditional clustering.
Learning High-dimensional Data.

DATA PROCESSING BASED ON ROUGH SET Rough set theory was brought out by Z• Pawlak in Poland 1982.
Rosetta is useful experiment platform and application software for data mining based on Rough Set Theory.
Our questionnaire relating to various factors, and we make the following data processing: Step1.
Screening and processing data: Screening a total of 1128 valid samples applied to this study.
It is reflected by the data in this paper, and Martijn Brons has carried out in-depth study of this area [17].

In order to assess the comprehensive quality of Jeep front-flank bracket rationally and effectively, use K means cluster method to analyze the cluster of condition attribute data, data separated into categories will be discretizated into integer according to the characteristics of the data distribution.
In order to reduce the workload of detection and avoid the interference of complex data, use rough set toolbox to reduce attributes and get core data.
The centra data of A products are(-1.3560±0.6423, -3.3690±0.4848, -2.4180±0.5930, 0.0720±0.4515, 0.7210±0.2528, 1.4210±0.2854); the centra data of B products are (-2.1690±0.5137, -3.4650±0.6042, -2.4470±0.5774, 0.5140±0.4847, 0.8520±0.7974, 1.5680±0.5600), the centra data of C products are(-2.3120±0.4351, -3.7670±0.5022, -2.4440±0.7209, 0.5080±0.5208, 1.2990±0.5204, 1.2540±0.4825).
Simplex search method of optimization can get the actual centre data of jeep front-flank bracket accurately
[3] Chen Web-wei, Data warehouse and data mining tutorial, Tsinghua university press, Beijing, 2011, pp. 162-165

The synthesis of Ag nanoparticles was carried out by chemical reduction of silver nitrate (AgNO3) with sodium borohydride (NaBH4).
Ag nanoparticles were previously prepared according to the chemical reduction method [20].
Crystallographic data obtained from Powder Diffraction File (PDF) are shown in table 1.
These results are in agreement with the previous XRD data.
The nature of the reduction reaction involves nucleation, growth and precipitation of Ag nanoparticles.

According to the internal data association between input space of software reliability test and failure data found in conventional software testing, a data matching algorithm is proposed to obtain possible failure time in software reliability testing by matching conventional failure data and the input space.
Data matching algorithm.
A suitable matching algorithm is proposed through analyzing the current known data matching algorithm combined with the form of the input data.
Now introduce a data matching degree of -type.
Preprocess the known failure data.

Planning Strategies on Disaster Prevention and Reduction for Industry In Mountainous Cities —— Taking the Changshou District of Chongqing for Example Jin Zhou1,a , Wanmin Zhao 1,b 1Faculty of Architecture and Urban Planning, Chongqing University, Chongqing, 400045, China a33732681@qq.com, bzwm65126371@sina.com Keywords: Mountain Cities, Disaster Prevention and Reduction, Industry, Changshou District.
Therefore, studies on the reduction of mountain cities’ disasters and constructions of safety city environment, is a very urgent subject of mountain cities’ constructions and development.
Fig.1 The stepped topography Fig. 2 Geological disasters related to map of China economic data trend comparison chart The Disaster Damage is on the Rise.
Pipelines are often damaged when constructing, because of the incomplete municipal pipe network and industrial pipeline datum.There are no counter plans before constructions, correct corresponding measures after accidents, and other appropriate treatment methods, finally will cause disasters.
(Figure 6) Fig.5 The plan of roads for hazardous chemicals Fig.6 The plan of green land Conclusion Due to the special topography, the disaster prevention and reduction of mountain cities is already a complex project, particularly, the disaster prevention and reduction of high-risk industry like chemical industry is in emergency.

There are many tools in Imageware to remove these noises in order to ensure the accuracy of the results. 2.1.3 Data reduction Through laser scanning we can get thousands of data points, and they are not all useful for the model reconstruction.
data.
(c) Point cloud after data reduction..
Then we use the tool “Modify — Data reduction — Space Sampling” to do data reduction.
The point cloud data after data reduction is shown in figure 2(c).

Yancheng 224051 xiajiansheng@163.com Keyword: Dispersing uniformity; Runner; Rheo-casting; Simulation Abstract：Based on the soft of FLOW3D, the numerical simulation was study the effect of runner-reduction ratio on the dispersing uniformity of added powders inside alloy melt.
The parameters studied were gating shape and reduction ratio in cross section area.
The results revealed that dispersing uniformity of powders, the flat gating system is better than the comb one, and the best dispersing uniformity was achieved when the reduction ratio was up to 50%.
Fig. 3 The reduction ratio of runner Casting material is A380 alloy, the main components is shown in Table 1, the physical properties is shown in Table 2.
Using EXCEL to make the data analysis and the corresponding curve, and he results are shown in Fig. 7, Fig. 8, Fig. 9, Fig. 10.

Taken overall, the data suggest potential for the use of PLA in treating common wine faults, particularly ‘ladybug taint’, which is caused by elevated levels of IPMP.
Only data for IPMP and IBMP are reported here.
Measurement of lactic acid in the treated wines showed no change compared to control (data not shown), suggesting there was no degradation of PLA into its component lactic acid monomers.
Data represent the mean values of replicate treatments and measurements +/- SD.
Discussion and Summary This preliminary data demonstrates the capacity of PLA to decrease levels of these important taint compounds in red wine.