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Ferric iron reduction was observed in all incubation modes.
Members of genus Acidiphilium are known to couple the oxidation of glucose to the reduction of Fe(III) [4].
Values of redox potential were plotted against related Fe 3+/Fe 2+ data obtained from the chemical analysis of the solution for both iron species.
Bacterial growth and iron reduction is shown in Fig. 2.
Because the ferric iron reduction and Fe(III) coupled CO2 production were exponential, the corresponding rate constants were calculated from the respective slopes of lines on semilog plots (data not shown).

Quantitative data about crystal orientation within shear bands were taken from EBSD mapping data.
Crystal orientations within SBs were analyzed from EBSD data.
In each specimen, the EBSD mapping data in the vicinity of the largest angle of SBs were taken into account.
Reduction h1 q1 q2 h2 Fig. 4.
Change of SB angles during reduction.

Analysis on Efficiency Evaluation of Regional Energy-saving and Emission-reduction Based on DEA Model Shuang Wang Economics and Management College, Dalian University, Dalian, 116600, China wshuang1021@sina.com Keywords: Energy-saving and emission-reduction; DEA; Evaluation index system Abstract.
Introduction The concept of "energy-saving and emission reduction" was first proposed in "Eleven-Five" program and made energy-saving and emission reduction work closely together.
CICA in Canada has listed energy-saving and emission-reduction and audit evaluation in different industry, in which multiple aspects of energy-saving and emission-reduction and audit evaluation indicators was included in utilities, manufacturing, and traffic industry etc.
The Brief Review of Evaluation Method  Data envelopment analysis, DEA has developed into a kind of non-parametric frontier efficiency analysis method on the basis of the relative efficiency evaluation by A.Charnes and W.W.Copper scholars etc. this method is often used in input and output system of the production and living for management, decision-making and efficiency and benefit evaluation, etc, at present which has become a widely used and effective analysis tool in the field of management science and system engineering.
It mainly uses the linear programming method, on the basis on the original sample data are divided into input index and output index, gets to evaluate effectively to decision making units(DMU), for the purpose is to reflect whether the DMU can  achieve the decision-making results of “spending as little as possible, to get maximum benefit”.

Studying the Possibility of Obtaining Titanium Powder of Various Sizes by Alumino-Thermic Reduction L.I.
In the reduction process granules of titanium powder and corundum were obtained.
The temperature was register using the NI USB-TC01 Thermocouple Measurement Device from National Instruments and firmware Temperature Logger, all data from the device was output to a computer.
In the Table 1 shows data on the change in powder weight after alkaline treatment.
The best aluminothermic reduction results were obtained during the reduction of sandy and floury rutile with aluminum shavings, i.e. samples №1 and №3 of the charge combination.

In order to solve the multidimensional data model and relational data model,query between the two-way data system, data cleansing, data conversion, distributed data accuracy and consistency control problem, this paper described the concept of grid related, the global data mining combined with local data mining is proposed based on local information based on the concept of a global grid of data mining algorithm, and the mining process was divided into ETI.
Data mining which is called Knowledge Discovery in Database is to extract or mine knowledge from large amounts of data.
Association analysis is to find association rules hidden in the data and the rules describe some interesting relations of the items in the given data set [2].
Shao :The reduction for two kind of generalized concept lattice.
Zhang :Knowledge Reduction in consistant decision formal context.

The hydrogen reduction reaction kinetic parameters of different particle’ sizes Cu2O were calculated by DTA-TG-DTG data.
(4) Namely (5) Use TG data calculate α, rise temperature velocity β was 15℃·min-1, was obtained by TG and DTG data.
Reaction progression was defined as: n = 1.26I1/2 (6) By the DTA curve data, according to equation (6) the reaction progression n was can obtained.
Use α data, β data, data, n data and equation (5) the k was calculability obtained.
Fig. 3 DTA-TG-DTG curves of sample 1#~3# Using DTA-TG-DTG curves data and equation (2) calculated the different size the cuprous oxide hydrogen reduction reaction apparent activation energy E and frequency factors A.

The paper analyses two categories, five terms characters of mountain disaster, which supported by statistics data.
Disaster prevention and reduction to the human settlement construction is basic function, which needs theoretical support by human settlement.
Therefore, the important issues on the mountain town disaster reduction and prevention should be the mountain properties.
Theory Support for Disaster Prevention and Reduction in Southwest Mountainous Cities The Necessary of Theoretical Guidance.
Disaster Reduction in China, 1996,6 (4) , p.39 ~ 41

This emission reduction potential optimization model puts forward the best pollutant emission reduction plan to satisfy the business enterprise decision making and guide the effective implementation of the refining chemical industry pollutant emission reduction task.
All kinds of input data, for the calculation of oil refining chemical industry pollutant emissions reduction potential model, have been shown in Table 1 and Table 2.
Table 1 Pollution control equipment parameters for refining and chemical industrial Pollutants Pollution Control Measures Removal Rate(%) Unit Processing Costs (104 t/104 yuan) Buiding Area (m³) SO2 Limestone Gypsum Wet Flue Gas Desulfurization (LGWFGD) 95 1000 500 Mobil Wet Flue Gas Cleaning System (MB-WFGCS) 90 1050 500 Belco Edv Wet Flue Gas Desulfurization (BEDV) 95 950 500 Wet Flue Gas Sulfuric Acid Process (WFGSAP) 97 850 400 THIOPAQ Biological Process (THIOPAQ-B) 97 1000 600 Ammonia Washing Method (AWM) 95 1000 500 Recycling Magnesium Oxide Method (RMOM) 95 900 500 NOx Selective Catalytic Reduction Method (SCR) 85 3336 500 Non Selective Catalytic Reduction(NSCR) 50 840 500 Table 2 Data for pollution reduction potential model of refining and chemical enterprises Pollutants Pollutant Source Industrial Emissions Standards (mg/m3) Wastegas Quantity (m3/h) Pollutant Concentration (mg/m3) SO2 Heating Furnace 850 335 1690 Industrial Boiler — 0.16 0 Catalytic Cracking
According to the above data, combined with the established optimization models and linear programming method, the maximum SO2 and NOx emission reductions of oil refining chemical enterprise were 4810.69 and 1573.04 tons, obtained from the computer.
(2) For Pollutant NOx, the reductions of SO2 is 1573.04 tons by optimization model calculation, the optimal emission reduction scheme is installing Selective Catalytic Reduction Method (SCR) on the Heating Furnace, which is the highest than related industrial emissions standards.

This change can be analysis by the torque of wring, the data test under wind-force of 5 grades is shown in Fig.3.
Such result needs more time -load data to satisfy process of data transformation for obtaining the dynamic performance of wring.
For accurately analysing the working load of hydraulic system in typical working conditions, the root mean square value is to transform the data from testing and integrates the mean value and standard deviation.
Choosing a set of load data from Table.1, the strength test is imposed to reel and the result shown in Table 2.
The critical load of reel is computed by data in Table.2 due to Eq.3, its value is 520.52 kN, which shows that the component will not damage after one million repeatedly load test.

With consideration of the field geological conditions and practical construction, by strength reduction finite element method (FEM) and discrete element method (DEM), the process of collapse is simulated, which is compared with the field monitoring data.
In this paper, with consideration of the field geological conditions and practical construction, by strength reduction FEM and DEM, the process of collapse is simulated, which is compared with the field monitoring data.
The monitoring data obtained after blasting excavation is consistent with the deformation displacement value obtained from the numerical simulation.
Because the deformation value obtained by FEM is computed exactly after the excavation, but the displacement value obtained by monitoring is recovered after the collapse, the monitoring data will delay, which will result in the difference of displacement between monitoring data and computation result. 6.
(4) The displacement obtained by monitoring data is consistent with that obtained by numerical simulation method during excavation