Search results

Step 2: data sources and data acquisition and standardized treatment Because many indexes can be quantified, data are from the railway, then through the min-max standardization method treatment, linear transformation is done, the data are fall into interval [0-100].
Because other indexes difficult to quantify involve the fields of economic, social and political, data are gained from the experts in these fields who give satisfaction of evaluation indexes marking through comprehensive experience and research, and the score interval of comprehensive evaluation is [0-100].
Step 3: data discretization The score for each evaluation index is discretized, specific rules are for: if score lies in the interval [90-100), [80-90), [70-80), [60-70), [0, 60) , respectively, it is replaced by 5,4,3,2,1.
Table 1 Evaluation result table of six kinds of Table 2 Evaluation result list through locomotive circulation reform scheme the data discretization The rough set reduction properties show that the thesis only need to consider the three indexes including traffic characteristics (upward and downward passenger and cargo traffic volume), locomotive operation efficiency(average residence time repairing in locomotive section) and coordination with other transport facilities.
Table 3 Important degree and weight of indexes After the reduction of rough set, quantized data of selections of six kinds of locomotive circulation reform schemes are for: , , ,, , At last, the extension decision model and correlation function are established.

As shown in Figure 3, the Hd increases with the increasing of the slab original width and thickness and width reduction.
According to the least resistance rule[6], metal flows along the lateral trend increasing, so the Hd increases. 10 20 30 40 170 180 190 200 210 220 230 240 250 Hd,mm width reduction,mm H0=160mm H0=210mm Fig.a 10 20 30 40 168 174 180 186 192 198 Hd,mm width reduction,mm W0=790mm W0=1100mm W0=1400mm Fig.b Fig.3 The Hd changes with the slab original width and thickness as well as width reduction 10 15 20 25 30 35 40 170 180 190 200 210 220 230 Hr, mm width reduction, mm H0=210mm H0=160mm Fig.a 10 15 20 25 30 35 40 45 167 168 169 170 171 172 173 174 175 Hr, mm width reduction, mm W0=1400mm W0=1100mm W0=790mm Fig.b Fig.4 The Hr changes with the slab original width and thickness as well as width reduction 10 15 20 25 30 35 40 13.6 14.0 14.4 14.8 15.2 15.6 16.0 A, mm width reduction, mm H0=210mm H0=160mm Fig.a 10 15 20 25 30 35 40 13.4 13.6 13.8 14.0 14.2 14.4 14.6 14.8 15.0
15.2 A, mm width reduction, mm W0=1400mm W0=1100mm W0=790mm Fig.b Fig.5 The A changes with the slab original width and thickness as well as width reduction 10 20 30 40 120 130 140 150 160 170 180 190 200 210 220 C,mm width reduction,mm H0=160mm H0=210mm Fig.a 10 20 30 40 130 140 150 160 170 180 190 C,mm width reduction,mm W0=790mm W0=1100mm W0=1400mm Fig.b Fig.6 The C changes with the slab original width and thickness as well as width reduction In Fig.4(a) , the slab original width is 790mm.
Fig. 4 shows, like with the Hd, as the slab original thickness, width and width reduction are increased, the Hr is also increased.
Conclusions According to the simulation datum, the Hd , the Hr , the A and the C increase with increasing of the slab original width and thickness, width reduction.

Barrie Johnson1g 1College of Natural Sciences, Bangor University, UK; 2Federal Institute for Geosciences and Natural Resources (BGR), Stilleweg 2, 30655 Hannover, Germany; 3Vale Institute of Technology, Belém, Pará, Brazil absp40e@bangor.ac.uk; bSabrina.Hedrich@bgr.de; cc.falagan@bangor.ac.uk; divan.cuevas@itv.org; ehivana@gmail.com; fb.m.grail@bangor.ac.uk; g*correspondence: d.b.johnson@bangor.ac.uk, +44 1248 382358 Key words: firmicutes; iron-oxidation; iron-reduction; novel species; sulfur oxidation.
Isolate Site of origin pH; T Country Reference SLC66T & SLC40 Weathering regolith, Salt Lake City 2.9; 25°C USA [2] GS1 Guardiana Cu mine pit lake Sediment 3.8; 23°C Spain [5] BSH1 Wetland used to remediate coal mine drainage 7.0; 14°C England unpublished ITV01 Copper mine waste stream 4.9; 32°C Brazil unpublished Gal-G1 Galways Soufriere 3.0; 80°C Montserrat (Caribbean) [6] Y002 & Y0010 Gibbon river area, Yellowstone 2.7; 30-60°C USA [7] Oxidation of ferrous iron, sulfur and pyrite, and reduction of ferric iron.
Ferric iron reduction was assessed by growing cultures in 100 mL of 5 mM fructose/10 mM ferrous iron/0.02% YE liquid medium under aerobic conditions.
Reduction of ferric iron by Acidibacillus isolates, using fructose as electron donor.
Cell numbers (solid symbols) and iron oxidation (open symbols) by SLC66 grown in 25 mM ferrous iron medium containing either 0.02% YE (▲, Δ) or 0.05% YE (■, □) The phylogenetic data show clearly that the bacterial isolates described cannot be affiliated into an existing genus of acidophilic Firmicutes, and the novel genus Acidibacillus (“acid rod”) is proposed for these isolates.

Low angle drawing led to the almost complete healing of the defect after three drawing passes with a 10% reduction of area each.
One should have data concerning the effect of their initial sizes, shapes and positions, as well as of their evolution during drawing, on eventual problems in the subsequent processing, such as their drawing to small diameters and/or the manufacturing of artifacts.
These samples underwent 3 successive drawing passes with a fixed reduction of area per pass and utilizing dies with two semi-angles.
Group 1 Group 2 Semi-angle (α) 5º 20º Reduction in area (r) 10% 10% $umber of passes 03 03 3.
Group 1 - Semi-angle = 5º - Reduction of area = 10% Pass 1 Pass 2 Pass 3 Surface view Lateral view Figure 5 - Evolution of the surface defects for drawing conditions in group 1.

The schematic representation of a neural model Input data on each neural network included temperatures (T1...T10) measured by the sensors placed in the screw and on the carriage of the drive axis (10 input signals).
Since neural networks have a good ability to approximate but poor ability in extrapolation, an appropriate experimental plan was developed, which allowed for collecting a complete set of the required training data.
Testing data was used for controlling the accuracy of the training process.
The set of validation data was not presented to the networks in the process of tuning weights.
This algorithm is characterised by good convergence and is recommended especially for sets with a small size of training data.

Therefore, a majority of the parameters have been modified with local Thailand data.
Therefore, a majority of the parameters have been modified with local Thailand data.
Some data are from journals and Thailand statistical records.
A summary of inventory data sources are shown in Table (2).
Table 2 Data sources for performing the WtW.

A series of Au/ZrO2, Pd/ZrO2, Au-Pd/ZrO2 catalysts were prepared by the solution reduction method using NaBH4 as reducing agent and L-lysine as protection agent.
The conventional methods for preparations of catalysts include impregnation, deposition–precipitation, reduction method and so on.
So in this work, solution reduction method was used to prepare catalyst.
Supported Au-Pd alloy catalyst was synthesized by the reduction of two metal precursors on the support with a reducing agent in the presence of a protective agent to prevent aggregation.
Diffraction data were collected between 5.0 and 80.0 °.

Resin for adhesion is SikadurⓇ-302-component type resin and compressive strength is 70MPa, tensile strength is 28MPa, shearing strength is 18MPa and elastic modulus is 128,000MPa according to data suggested from Sika.
In every grape, Anal-1 and Anal-2 mean analysis results without and with consideration of reduction in the joint region, respectively.
But in CP1600 retrofitted with Near-Surface-Mounted CFRP, the curve without consideration of reduction has a good co-relation to test one.
From FE analysis, it is necessary to consider a reduction of bond strength in order to simulate the flexural behavior of the beam retrofitted with EB CFRP.
But any reduction needs not to be considered in the beam retrofitted with NSM FRP.

Figure 1.Failure rate data taken form Tavner[4] averaged from 1994-2004.
The statistical data shows that there are a variety of failures associated with the turbine control system.
Prepare Your Paper Before Styling Wiggelinkhuizen et al. [7] also reported that in the CONMOW project comparison of the trends of the normal historic record against the SCADA(Supervisory Control and Data Acquisition System) monitoring data can detect the potential failure.
However, the large quantity of data involved can overwhelm the data acquisition and processing system but also the engineers involved.
In addition, a low data rate torque signal could be achievable from the turbine SCADA system.

Nitrogen-fixing bacteria were screened from the rhizosphere soil of plants in Shaanxi in China. 36 free-living nitrogen-fixing bacterial strains were isolated and their nitrogenase activity were determined by acetylene reduction assay (ARA), two strains named FLNB03 and FLNB09 with higher nitrogenase activity were isolated and identified by 16S rRNA sequencing.
The datum showed that FLNB03 was similar to Acinetobacter and their similarity reached 99%, FLNB09 was similar to Agrobacterium sp. and their similarity reached 99%.
The plates were incubated at 28℃ for 7 days [11]. 36 free-living nitrogen-fixing bacterial strains were selected for determination of nitrogenase activity: The acetylene reduction assay was used in this study[12].
The data shows that 11 strains have nitrogenase activity (Tab. 1).
Conclusions In this study, the method of acetylene reduction was adopted for the determination of nitrogenase activity of free-living nitrogen-fixing bacteria, the results suggest that 11 strains of them have nitrogenase activity.