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The fitting results based on EIS data indicate that delithiation reactions happen within the voltage range of 3.7-4.4V; The resistances of SEI film and charge transfer are both decreased significantly, whereas Li+ diffusion ability through layered crystalline lattice is improved largely with the increase of zinc doping from 0 to 4wt%.
(a) EIS at 3.9V, (b) EIS at 4.2V, (c) EIS at 4.4V.The insert Fig on the upper lift in each graph depicts in detail the EIS starting part in high frequency range Fig.3 Equivalent circuit used to fit experimental data of EIS for Zn-doped Li(Ni1/3Co1/3Mn1/3)O2 cathode.
Tab.1 Variations of fitting SEI resistance RSEI, charge transfer resistance Rct from experimental EIS data with Zn-doping levels and polarization voltages Sample Voltage/v RSEI/ohm Rct/ohm Zn000 3.9 4.4 4.6 179.2 165.6 155.3 322.8 310.2 316.3 Zn010 3.9 4.4 4.6 103.9 88.34 79.09 116.7 114.6 186.4 Zn040 3.9 4.4 4.6 16.26 16.18 17.00 22.48 24.23 109.2 Guo R et al. [6] found that Li (Ni0.5Co0.25Mn0.25) O2 coated by ZnO can significantly reduces the Rsei value, at the same time, Zn2+ covering on the particulate materials surface stabilizes SEI films.
However, the Rct reduction in this study exhibits much larger than other reports do [6], we can easily deduce that co-precipitation processing is more useful than cladding method in the aspect where more Zn species can incorporate in Li (Ni1/3Mn1/3Co1/3) O2 matrix.
Because Li (Ni1/3Mn1/3Co1/3)O2 electrode’s delithiation voltage ranges mainly from 3.7 to 4.2V, within which two redox couples Ni2+/Ni4+ and Co3+/Co4+ happens, and on this voltage platform Rct reduction is beneficial to delithiation process, while Zn doping in Li (Ni1/3Mn1/3Co1/3) O2 matrix is harmful for the high rate charging process under high cut-off voltages over 4.4V.

The prototype diesel engine with HTT and EGR is modeled in the GT-SUITE and validated through engine test data in section 2.
Model Validation He engine simulation model is validated against the experimental data at engine half load and full load operating condition, and the results are shown in Fig. .
The established engine model could predict the engine performance data accurately, at full load and half load engine operating conditions both.
The results show that the behavior of the diesel engine model was very close to the experimental data under steady state conditions.
A GT-SUITE based diesel engine model was established and validated by experimental data.

Moreover, it has been proved that slight changes in the hysteresis loop parameters, as a function of the number of stress cycles, have a significant influence on the obtained material data used when calculating the life.
The section for testing was taken out from a pipeline running from the live steam collector to reduction and cooling station.
The grain boundary areas depleting of precipitates causes reduction of their strength, and is the decisive factor responsible for the slowly developing decrease in the strength properties during service.
The above is stated in the literature [10] where the presence of precipitate free zones in metallic alloys is not only said to cause the decrease in the yield strength value or tensile strength, but it is also claimed to result in a reduction of creep strength.
Moreover, it has been proved that slight changes in the parameters of hysteresis loops, as a function of the number of stress cycles, have a significant influence on the obtained material data used during the calculation of life.

The commonly used 1/3 octave was selected for the data of measurement.
The sound reduction index is related to the structure, the property and the frequency of incident waves.
Fig.2 shows the curves of sound reduction index-Frequency of the composite materials.
Above 400 Hz the laminated order has a great impact on the sound reduction indexes as shown in Fig.4.
The difference among the sound reduction index of different samples can be up to 5 dB at 500 Hz, 11 dB at 800 Hz and 13 dB at 4000 Hz.

The length of gas penetration will increase with the reduction of shot size and delay time, or with the increasing of melt temperature and gas pressure.
The new process is able to produce final parts with higher quality, including material saving, excellent surface appearance, elimination of sink, reduction of residual stress and warpage.
Fig. 1 model: (a)3D part model (b)3D mesh Table 1 Value of experimental parameters Parameter Melt temperature [°C] Shot size[%] Delay time [s] Gas pressure [MPa] Value 1 210 80 0.8 4 Value 2 230 85 1.6 6 Value 3 250 92 2.4 10 The temperature of the mold is 40°C Simulation Result and Analysis In this research, the table L9 of orthogonality was used to simulate the process, the data collected is gas percentage which can represent the gas penetration very well.
The parameters range used is given in Table 3.The data collected includes the gas percentage and the clamp force.
Generally, the lower pressures used in GAIM can result in a 25% to 90% reduction in clamp tonnage.

The worm whirls the worm gear to achieve high reduction ratio.
I-7188EAD is the controller of this system, sensor sends a voltage signal to A/D converter, and reads the data from A/D controller.
The core baseband processor of TC35i processes the signals of voice and data in GSM terminal, and contains all analog and digital functions of cellular radio equipment.
The data is transmitted to I-7188EAD by I-7018R A/D converter via RS-485.
When sensor detects the light-to-voltage signal, through A/D converter (I-7018R), the data is transmitted to the embedded controller (I-7188EAD) by the communication mode of RS-485, to operate and control the motor operation.

In this study, Pt-M (M = Ru, Sn, and Au) nanoparticle catalysts on MWNTs for detection of glucose were synthesized by a one-step radiation reduction.
Results and Discussion Fig. 2 shows the TEM images and ICP-AES data for the catalysts prepared by γ-irradiation.
This is because the standard reduction potential of the Pt ion is higher than that of other metal ions, leading to quicker reduction of the Pt ions compared with the other metals.
The crystalline nature of the Pt-M nanostructures was confirmed from XRD data.
The corresponding data of the sensor with Pt-Sn catalyst in PBS electrolyte were 0.810, 3.00  100, and 3.0.

Therefore, I hope not reduce the classification accuracy of the premise for a feature dimension reduction method to reduce the space dimension, to improve classification efficiency.
Feature selection and feature extraction is the main feature dimension reduction method, this paper will be different methods of feature selection research and analysis.
Distribution of training documents and test text Class topics Education Computer Environment Traffic Economic Military Art Real estate Training set 122 111 108 116 189 143 136 124 Test set 58 53 56 64 91 68 61 69 Corpus is the corpus used Sogou web site, this choice of seven types of text data, including education, computer, environment, transportation, military, economic, real estate, from which randomly selected 1049 documents as training set, 520 documents as the test set.
KNN is considered the more superior classification performance, so this experiment using KNN classifier to test data, the sample type is known to be classified with the sample to find the K most similar samples.
Obviously, experimental data show that the mutual information [6] the worst effects of the classification, information gain, better cross-entropy classification.

Boron Content (ppm) Absorbed Energy (J) Yield Strength (MPa) Tensile Strength (MPa) Tensile Strength 600 650 700 0.02% Offset Yield Strength 0 30 60 90 120 0 30 60 Impact Absorbed Energy 540 560 580 593 oC Boron Content (ppm) Reduction of Area (%) Yield Strength (MPa) Tensile Strength (MPa) Tensile Strength 460 480 0.2% Offset Yield Strength 0 30 60 90 120 60 70 80 Reduction of Area Test Results Tensile and Impact Properties Tensile strength and impact absorbed energy at room temperature of DS2B2 were superior to those of COST B2.
At 593oC for COST B2, as boron content increased, tensile strength increased and elongation and reduction of area decreased as shown in Fig.2.
DS2B2 Pseudo COST B2 BE (B : 0.030ppm) COST B2 DE (B : 0.093~0.100ppm) EE (B : 0.105~0.110ppm) 0.15 0.30 0.45 0.60 200 300 400 500 593 oC Cyclic Stress (MPa) Cyclic Strain (%) DS2B2 Pseudo COST B2 BE (B : 0.030ppm) CE (B : 0.075ppm) COST B2 DE (B : 0.093~0.100ppm) EE (B : 0.105~0.110ppm) 0 500 1000 1500 2000 2500 0 100 200 300 400 500 600 Pseudo COST B2 CE COST B2 DE COST B2 EE DS2B2 Peak Stress (MPa) Number of Cycles 593 oC ∆ ε t = 0.8% DS2B2 Pseudo COST B2 CE( B : 0.075%) COST B2 DE( B : 0.093~0.100%) EE( B : 0.105~0.110%) Fig. 7 Cyclic stress response curves for total strain range of 0.8% at 593oC Fig. 6 The cyclic stress strain data at 593oC Fig. 8 SEM of fatigue fracture surface for COST B2 (DE) Fig.5 The cyclic stress strain data at room temperature Fig. 3 Low cycle fatigue characteristics at room temperature Fig.4 Low cycle fatigue characteristics at 593oCFig.5 and 6 show cyclic stress strain
data for the tested materials at room and elevated temperatures, respectively.
For COST B2, the reduction of maximum stress with number of cycles was similar regardless of boron content.

The Pidgeon process, invented by Pidgeon LM in 1940s [3, 4], is a thermal process for MgO reduction by using Si metal (FeSi) at temperature near 1200°C under pressure of 2-10 Pa.
Fluorite, ranging 2-3%, is often mixed in raw materials to catalyze the MgO reduction in Pidgeon process [5, 6].
Results and discussion Table 2 Data from fluoride evaporation tests with heating time of 3 hours Test temperature [°C] F in slag sample [mass%] F evaporation rate [%] 1000 1.09 33.9 1100 1.54 6.7 1150 0.98 40.6 1200 1.06 35.8 1250 1.29 21.8 1300 1.25 24.2 1400 1.14 30.9 F content is 1.65% in the original slag sample from the Mg factory and decreases to 0.98-1.54% in the samples after heated in 3 hours at 1000-1400°C, Table 2 and Fig. 1.
Using the F content data in Eq. 1, values of F evaporation rate are calculated with the results also shown in Table 2.
Contents of major components in the Mg slag in Table 1 are used as input data for FactSage 6.2 software to compute equilibrium amounts of gaseous fluorides formed at high temperature.