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In Air In target gas Hole accumulation layer qV s11 (a) (b) holes O - Grain boundary Grain boundary 2CO + O - = 2CO 2 + e - CO CO 2 R O - O - O - O - O - O - O - O - O - O - O - O - O - O - O - O - O - O - and/or 2H 2 + O - = 2H 2 O + e - CuO (CO 3 ) 2 - qV s21 holes Grain boundary Grain boundary R qV s22 holes qV s12 holes O - O - O - Physical model Energy band diagram CuO/Rb 2 CO 3 Oxygen ion Rb 2 CO 3 Energy barrier Energy barrier Energy barrier Energy barrier e - e - CO CO 2 CO 2 e - Physical model Energy band diagram Neutral region Fig. 8.
Acknowledgments This research is funded by Le Quy Don Technical University Research Fund under the grant number "24.1.24".

Due to the presence of rare earth oxides, grain growth can be inhibited, which is advantageous for forming a dense nano-scale fiber structure and improving the wear resistance of porcelain.
As the number of nucleus charges increases, the outer layer of O and P layers has almost no change in structure, and the added electrons are filled into the inner sub-layer orbits that are not yet filled.
It can inhibit grain growth and improve the gloss of glaze and act as a brightener.
The product is highly efficient, non-toxic, durable and heat-resistant, and has good compatibility with human habitats. 3) Mixed rare earth oxides can inhibit grain growth during ceramic sintering, reduce grain size and increase ceramic density.

And each specimen shall be numbered according to cutting locations, with 3 specimens in each group.
Fig 9 is the figure of the accumulative number of AE hits versus time.
As is shown, the number of AE hits before 1140s increases slowly, but rises rapidly thereafter, and shows a step-type change that the number of AE hits increases dramatically at roughly 1705s.
This signifies that the number of AE hits can be well used to monitor and test the loading and deformation process of welding specimen.
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Two parameters and on the definition of Biot’s coefficient are bulk modulus of the drained medium and solid grains, respectively.
This is to say that the number of cycles Nc for the damage assessment for a period of N years Nc(N) is calculated by knowing the number of cycles for ten years (N10) by : Nc(N)= N10* N/10.
The number of stress cycles for the first ten years of the study is counted using rainflow method.
While many laboratory results are available for the white tuffeau the cyclic tests performed on this material are often limited to a number of only some hundreds cycles which makes impossible an identification of all model parameters.
Do (2013) Modeling of two phases flow in capillary porous medium by a microscopic discrete approach, European Journal of Environmental and Civil Engineering, Vol 17, Issue 6, pp. 444-452 [9] Van Xuan Tran (2013) Criteria for multiaxial fatigue inititation with grat number of cycles, Code_Aster documentation, R7.04.04, www.code-aster.org [10] XIAO, Jian-Qing Xiao, DING, De-Xin, JIANG, Fu-Liang, XU, GenXu.

All types of coatings are characterized by a porous morphology that increases with the number of layers.
The number of coatings does not only affect the porosity of the annealed layers, it also determines their roughness and particle size.
The AFM characterization allows to quantify the diminution in the roughness (rms) and in the particle size with the number of layers deposited.
In fact, the roughness profile is composed by sharp peaks and valleys attributable to the particles of the calcium phosphate layer and by less defined curves caused by the coarse grains of Al2O3.
These coatings present different roughness (rms), particle size and thickness as a function of the number of layers deposited.

With the help of growing performance of modern computers, there have been an increasing number of recent ‘atomic-resolution’ simulations of incipient plasticity in nanoindentation [1-10], mostly employing molecular dynamics or molecular mechanics.
Furthermore, comprehensive studies of pile-up profiles [10], surface step effects [3], grain boundaries effects [7,8], dislocation nucleation criterion [5,9], and so on, have been performed.
Perfect bulk atoms of which the atomic coordination number equals to 12 of the perfect face-centered cubic (FCC) crystal, are eliminated in the following figures.
Total number of atoms is 1,512,000 and the film thickness is 21 (nm) (Model 1); t = (1) 0.2455, (2) 0.2475, (3) 0.2500, (4) 0.2515, (5) 0.2520, (6) 0.2525 (ns).
Total number of atoms is 504,000 and the film thickness is 7 (nm) (Model 3); t = (1) 0.0800, (2) 0.0825, (3) 0.0850 (ns).

At temperatures above 250-300°C, the strength of the cement binder starts to deteriorate and at temperatures above 550°C, the quartz grains that make up the aggregates, sand and gravel, change their modification with increased volume, which causes the formation of micro-cracks [3].
Sample data by weight before and after treatment Sample number Drying time, [h] Weight of metal plate before machining, [g] Weight of the metal plate after machining, [g] 1 96 49 88 2 50 89 3 49 87 4 50 88 5 50 89 6 49 88 7 49 89 8 50 89 9 49 88 10 50 88 11 49 118 12 50 120 13 48 119 14 50 118 15 50 120 16 49 122 17 49 120 18 49 119 19 49 120 20 49 87 After 96 hours of drying (Fig. 6, 7, Table 2), fire tests were carried out on a building material ignition apparatus with samples, Nos. 1-5.
(1) Where m1i is the mass of the sample before the test, g; m2i - mass of the sample after the test, g; i - is the sample number.
Weight of samples before and after experiments Sample number Drying time of the samples, [h] Weight of specimens before test, [g] Weight of specimens after the test, [g] Sample mass loss Pi, % 1 96 88 71 19,3 2 89 75 15,7 3 87 70 19,5 4 88 73 17,0 5 89 72 19,1 6 88 60 31,8 7 89 58 34,8 8 89 57 35,9 9 88 60 31,8 10 88 57 35,2 11 118 105 11,0 12 120 101 15,8 13 119 96 19,3 14 118 104 11,8 15 120 98 18,3 16 122 74 39,3 17 120 78 35,0 18 119 75 36,9 19 120 40 66,6 20 87 64 26,4 The Results of the Tests Test result for 6% TES mortar.
Khafizov, Optimal temperature and time of wood impregnation with Bioperin antiseptic MIG-09, Oil and Gas Business, number 1, 2020, p.126-139.

,}, where t is the number of the found candidate topic features of each sentiment feature.
,Un}, where n is the number of all the Sentigrams. 3) Mine the frequent item set in Upair using association rule mining algorithm, find the most likely k features according to experience support degree minsup.
Ra = num[opi-ontology in Oj-ontology]/ op-num[Oj-ontology] (4) Where op-num[Oj-ontology] is the number of opinions in reviewj.
We use it to rank the opinions in reviews and choose the same number of opinions with generated summary opinions.
Modeling online reviews with multi-grain topic models.

Surface roughness Ra /µm Grinding wheel 0 5 10 15 20 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22 0.24 0.26 0.28 Grinding condition: vs=26.95m/s, vw=15m/min; Grinding wheel: w10; Ultrasonic parameters: Px=65W, fx=19.86KHz, Py=72W, fy=20.46KHz; Workpiece material: Nano-ZrO2; Common grinding Ultrasonic grinding Surface roughness Ra /µm Pass number of zero depth-of-cut grinding Fig. 4 The influence of wheel type on Ra Fig. 5 The influence of pass number on Ra Experimental Analyzing.
And in Fig.5, the surface roughness has a descending trend along with the inrease of pass number of zero depth-of-cut grinding.
And when the pass number is less than five, it will have great impact on surface roughness; while the value of the surface roughness improves more and more slowly when pass number exceeds five.
The grinding depth, the work piece speed, the grain size of diamond wheel and the pass times of zero depth-of-cut grinding, etc., have different effects on the machined surface roughness of the nano-ZrO2 ceramics.

This means that different deformation mechanisms may operate, included dynamic recrystallisation and grain boundary sliding, generating different flow curve shapes.
Obviously, the difficulty to calculate the coefficients of the polynomial equation may increase with increasing the number of variables, that are the factors governing the process.
Equivalent stresses (s) and deformations (e) were derived from t and γ using the von Mises criterion: (1) (2) where M is the torque, N the number of revolutions, n () the work hardening rate and m () the revolution rate sensitivity of torque.
The second strategy allowed the reduction in the number of the significant independent variables down to those reported as follows: x1=e, x2=, x3= T2, x4=e2, x5=.
Therefore, the proposed methodology allows the obtaining of regression models to supply as an input for finite element simulation of extrusion processes reducing, also in the model preparation phase, the number of time consuming and expensive microstructure tests.