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For exhaust emission, B5 and B20 showed improvement in the reduction of NOx and PM.
The engine performance parameters are including indicated power, torque and heat release which based on the experimental data collected from the test engine.
The data from the engine testing were collected and processed using data acquisition system by TFX Engineering.
However, there is a significant reduction of 20% by B20 as compared to diesel at 2400 rpm engine speed.
This is due to the high oxygen content of B20 which caused a reduction in soot formation and thus enhanced soot oxidation [11].

The mass fraction of sulfide in the steel surface was calculated by the quantitative metallographic method after electrolysis. 1—Argon cylinders 2—Drying tower 3—Power 4—Temperature control unit 5—Cooling water 6—Argon 7—Thermocouple 8—Graphite anode 9—Tube furnace 10—Steel sample of FeS11—Iron chromium wire cathode 12—Electrolytic cell 13—Platoon walk 14—DC regulated power supply 15—Using a laptop computer to record data 16—Vitriol oil 17—Evacuation Fig.1 Attachment of test devices Experiment results and analysis The distribution of sulfide before and after electrolysis.
Fig.3 Variation of current with time during electrolysis Electrical conductivity of metal is well, reduction reaction began from the sample surface to form a metal-sulfide-molten salt phase interface.
This is because that the electrolytic reduction rate was accelerated obviously by the rising of voltage, while it was greater controlled by the diffusion velocity of variety of ions and medium.
Sulfur has been divided into two main groups, sulfide form of FeS and dissolved sulfur which is in the steel surface, there are 2 reduction peaks and 1 oxidation peak, electrode reaction is mainly electron transfer process, It’s inferred that FeS occurred the reduction reaction at 850 as the following shows:
Electrochemical reduction of titanium TiO2 Preparation and Reaction Mechanism of [D].

(4) Change of the basic mechanical properties of concrete during heating has usually accounted for by the temperature parameters: strength reduction coefficient gc,q and reduction coefficient deformation modulus bc,q: fc,q = fck × gc ; Ec,q = Ec × bc,q (5) Temperature relations are defines expressly for ultimate deformations and associated ultimate coefficient secant modulus, but, according to the test experience [8], this formula can be used without loss of accuracy of final results nc1,q = nc × gc,q , (6) then ec1, q = ec1 / bc,q
(7) Temperature relations of the strength reduction gc,q and initial modulus of concrete deformation bc,q , and also thermal strain can be set in a tabular, or an analytical form: ; ; (8) , (9) where: qc – the heating temperature of the concrete; 20 – initial temperature, °С; g, b, m, n, a, p, ea – experimental parameters (Tab. 1); 1000 – dimensional factor.
Temperature relations between strength reduction gc,q and initial strain module bc,q (а), the thermal strain (b) normal weight concrete on a siliceous aggregates Figure 3.
Changing the strength characteristics of reinforcement during heating is taken into account by using the temperature parameters: reduction coefficient of yield strength ksy,q and the reduction coefficient of the proportional limit ksp,q: , ; (16) where qs – the heating temperature of the reinforcement; 20 – initial temperature, °С; wy, wp, c, d – experimental parameters (table 2); 1000 – dimension factor.
A compilation of elevated temperature concrete material property data and information for use in assessments of nuclear power plant reinforced concrete structures (2010), Office of Nuclear Regulatory Research, 328 p

Before analysis, an pre-reduction of CuO phase to Cu0 was performed in a flow mixture of 5%H2-N2, raising the temperature at a heating rate of 10˚C/min from room temperature up to 290˚C.
Cu0 surface area, particle size and degree of sintering were calculated from N2O decomposition data [6].
Results and discussions Fig. 1 XRD patterns of Cu/ZnO catalysts before reduction: a CP Cu, b PM 60Cu-40Zn, c CP 60Cu-40Zn; and after reduction: c CP Cu, d PM 60Cu-40Zn, e CP 60Cu-40Zn.
XRD patterns of diversified copper catalysts before and after reduction are shown in Fig. 1.
Moreover, ZnO could hinder Cu0 from sintering for the migration, aggregation of Cu0 particles due to local overheating in the processes of reduction and reaction.

, Typically, Co/SiO2 catalysts were prepared by impregnation of SiO2 with nitrate solution, followed by calcination and reduction, which formed larger cobalt particles.
The mean Co3O4 crystallite sizes were estimated from the XRD data using the Scherrer equation.
The H2 consumption was monitored with TCD using the reduction of CuO as the standard. 2.3 Catalytic experiments Catalysts were evaluated in a pressured fixed-bed reactor at 2 M Pa, 1200 h-1 with the H2/CO ratio of 2 after reduction at 673 K for 10 h.
As the catalysts were modified with ethylenediamine, a third peak appearing at around 600-800 oC originated from the reduction of cobalt-silica interaction species[7].
The reduction degrees of catalysts were calculated.

The current CFD model has been validated by comparing the simulated results with the experimental data obtained from the boiler for case study.
The model predictions show good agreement with the nitrogen release data from the experiments of different coals in various conditions.
Then, due to the reduction of NO by the char, the average NO concentrations reduce gradually.
At the same time, the reduction atmosphere is enhanced, reducing more NO formed.
The simulated results, such as the carbon content in fly ash, NO and oxygen concentrations in flue gas at the furnace exit, have been compared with the experimental data to validate the established CFD model.

It was found that approximately 52% and 48% biofilm reductions were observed in 0.1% and 0.5% vanillin groups against S. aureus compared with 0% vanillin (control group) whereas 46% and 54% biofilm reductions were seen against C. albicans biofilm.
A significant reduction of vital biofilm mass was demonstrated in vanillin incorporated resin groups (0.1% and 0.5% vanillin) compared with a control, resin without vanillin.
Vital biofilm formation on obturator resin surfaces Microorganisms Vanillin (%) 0 0.1 0.5 S. aureus 0.924±0.179 0.042±0.064a 0.489±0.043a C. albicans 0.541±0.150 0.294±0.058a 0.028±0.199a *data expressed as mean optical density± SD 0% vanillin was used as a control a significant difference from 0% vanillin Figure 1.
Percentage of biofilm reduction in vanillin-incorporated resin groups compared with 0% vanillin group.
Regarding the percentage of biofilm reduction, approximately 52% and 48% biofilm reductions were observed in groups of 0.1% and 0.5% vanillin against S. aureus compared with 0% vanillin group whereas 46% and 54% biofilm reductions were seen against C. albicans biofilm (Fig. 1).

Apeh b Department of Electrical and Electronic Engineering, University of Benin, Benin City, Edo state, Nigeria a sunebi@yahoo.com, b ter_apeh@yahoo.com Keywords: Power generation, maximum load demand, network planning, utilization factor, feeder pillar, reduction factor, voltage drop Abstract.
Load reduction factors shall be applied after the total estimated power was determined.
In compliance with relevant standards[4,5,6,7], a diversity factor of 0.7 between the plots and feeder pillars and 0.8 between the feeder pillars and distribution transformers, resulting to a reduction factor of 0.56 was applied in arriving at the total load for the Injection Substation.
RW : MH = (17-2.5) : 12 = 14.5 : 12 = 1.2 :1 From Thorn lighting catalogue Photometric data for road lanterns, the corresponding coefficient of utilization are as follows; For a road width to mounting height ratio of 1.2 :1, Road side = 0.32 House side = 0.18 Thus, total UF = 0.50 Maintenance Factor (MF) [10] = LDD x LLD
Relevant data on existing load operating conditions, voltage profiles, etc, should be collated.

Data for cement produced in MSC and LNB technology is analyzed.
The data is collected from the real clinker production situation and the measurement is taken in 12 hours continuously.
The input and output data was from this report.
Considering the formal fluctuations of emissions, some data are shown in min and max form.
Data for cement producion in MSC and LNB technology can be established.

Data association is achieved by solving a min-cost flow problem on the resulting network model.
Results Test Data.
Tab.1 shows some information about test data.
A Framework Alternating between Detection and Data Association proposed in this paper.
Data, metrics, and protocol.