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Higher CA content brought a greater reduction in porosity; the average pore diameter remained unchanged.
The mortar with zero CA content also saw a reduction in porosity due to the influence of the 95 % humidity, which can be attributed to continued cement hydration.
The data shows a reduction in the number of pores with 0.5 to 0.05 mm in diameter.
There, the reduction in porosity during aging is caused by a slow and gradual hydration of the cement and by the hydration products of the CA.
The aggressive conditions also cause a reduction in porosity, most notably in terms of pores between 5 – 0.5 mm in size.

But, since SiO2 is the available raw material for non-ferrous metallurgy, the problem of silicon reduction in the aluminum melt arises, which remains unresolved today.
In [3], the thermodynamic possibility was established of the reaction of reduction of silicon from amorphous silica by aluminum (4Al + 3SiO2 → 2Al2O3 + 3Si) in the temperature range 298–1600 K.
As can be seen from the table the specific surface energy of nanoparticles with a surface area of one square meter (0.41-0.57 J/m2) is significantly less than the free energy calculated by the Gibbs-Helmholtz equation (5) ΔGT = ΔHТ0 – T· ΔSТ0, (5) silicon reduction reactions 4Al + 3SiO2 → 2Al2O3 + Si (from – 610 J/kg (T = 300K) to - 460 J/ kg (T = 1600K)), calculated for temperatures of 298–1600 K [3].
Take the particle mass m = 10 grams - this is 1 wt.% of one kilogram - the average percentage of introduced particles to modify the properties of materials, then for particles with a diameter of 18 nm (for the data in the first row of the table) the surface energy σ10 is calculated by the expression (7) σ10 = (0.74-0.41)·140·10 = 448 [J/kg], (7) The result is an energy value σ10 comparable to the energy of the silicon reduction reaction 410-610 J/kg.
Rafalsky, Synthesis of aluminum-silicon alloys by direct reduction of silicon using aluminomatrix composite ligatures, Casting and metallurgy 3 (61) (2011) 19-25

The tribological behavior of the coatings can be investigated for comparison with literature data on ball-on-disc tribometers using suitable intermediate and ambient media.
Tests in knee simulators conducted by other researchers [31] showed the same trend of wear reduction of a coated TKA compared to an uncoated polished TKA.
Author Contributions The experimental work and data analysis of the tests was carried out by M. 
TREMMEL supported the experimental data analysis.
Tremmel, On Friction Reduction by Surface Modifications in the TEHL Cam/Tappet-Contact-Experimental and Numerical Studies, Coatings 9 (2019) 843

The intermittent data between stages are latched by using multiplexer based latches.
In this paper, conventional registers are replaced with multiplexer based latches for power reduction and a novel communication protocol based on Nios II processor is proposed to arbitrate data between asynchronously pipelined stages.
When a stage is processing a data, their respective control circuit also enabled.
· The ON time and OFF time of the select pulse are adjusted to receive new data from data in and to latch the previous data from data out.
A set of sample data and corresponding results are stored in a memory.

Based on the geological and the experimental data of the 13#coal seam of Sun-Cun Coal Mine, the relationship curve between the depth of coal seam and the amount of CH4 produced has been fit out.
Table 1 The coal quality indicators in the 13#coal seam Coal seam Moisture content (%) Ash content (%) Volatile content (%) Heat （kJ/g） Total sulfur (%) Phosphorus (%) Glial layer thickness （mm） Coal type 13# 1.07～2.76 1.61 29.30～42.98 34.98 39.01～47.64 44.68 32.11～34.42 33.27 1.76～5.00 3.01 0.016～0.019 0.017 39.86 gas-fat coal Table 2 The seam features in 13#coal seam Coal seam Thickness （m） The number of dirt band The thickness of dirt band Coal seam spacing（m） Structure Stability 13# Complicated Stable Table 3 The industry analysis in 13#coal seam Coal seam proximate analysis（%） ignition temperature（℃） △T spontaneous combustion tendency Moisture content Ash content Volatile content T(oxidation) T(original) T(reduction) 13# 0.56 21.31 46.30 355 359 360 5 Class III Not easy to spontaneous combustion Experimental Data Analysis There are a lot of heat sources to cause the temperatures increasing in Sun-Cun Coal Mine.The mine is heat conduction type, so the main
Table 4 Ground drilling temperature Depth（m） Temperature（℃） The 1# hole The 2# hole The 3# hole The 4# hole 20 20.0 20.9 7.70 100 21.0 21.3 17.5 200 23.3 24.2 19.1 300 25.6 27.7 21.7 400 27.9 23.7 500 31.1 29.8 26.7 600 34.0 32.2 29.6 700 36.2 37.8 29.0 31.6 800 38.5 36.9 35.5 900 40.8 42.0 1000 43.5 Based on the data in the table, the linear relationship between the temperature (t) and the depth (h) has been gotten.
In order to study the relationship between them, based on experimental data and the analysis of the mathematical optimization model[2,3] as following: (2) the experimental data of the time during on spontaneous combustion of coal as shown in Table 5.
Table 5 Experimental data on the coal spontaneous combustion t(i) (K) VO2 (10-6mol/min) VCO (10-6mol/min) VCO2 (10-6mol/min) Q (J/Kg·min) (m3/Kg) WP (%) (d) 289 0.3376 0 0.1510 5.8641 12.4371 0 322 0.3636 0 0.1374 5.6269 7.3945 16.0876 343 0.4835 0 0.1307 6.0376 4.2240 9.3627 368 0.5302 0 0.1222 6.0355 2.5621 0.06 7.3679 385 0.7095 0 0.1177 6.7955 1.8237 1.27 7.8373 402 1.0921 0.0037 0.1162 8.6515 1.2981 3.3431 418 1.6571 0.0090 0.1278 11.7805 0.9426 2.1505 432 4.0425 0.0148 0.1370 23.7608 0.7124 1.0319 447 8.1192 0.1268 0.2941 48.7261 0.5278 0.4881 Based on the data above, the curve about coal seam depth and the amount of CH4 produced is shown in Figure 1: Fig.1 The curve of depth of coal seam and the amount of CH4 produced As is shown in the figure 1, the curve fitted exponential function expression.

Furthermore, we propose a method to improve the quality of the traditional A* algorithm by eliminating unnecessary intermediate points, which is Shortcut Path Reduction (SPR).
Δxk and Δyk is the horizontal and vertical difference at the k th element in P (n): Δxk=xk-xk-1,Δx1=0Δyk=yk-yk-1,Δy1=0 (6) First, select the kinked nodes from P(n) and filter the set of intermediate points, forming the set P '(m): Δxk≠Δxk+1∧Δyk≠Δyk+1 (7) The last shortened version of P’’(q) is filtered from P’(m) according to the following algorithm, naming Shortcut Path Reduction (SPR).
Fig. 7 Simulation results (from left to right) BFS and DFS (row 1); Dijkstra and A * (row 2) Respond to Start = [30, 50]; Goal = [95, 95], we obtained simulation results (Fig. 7) and data tables (Table 2).
Table 2 Data table of simulation results of algorithms BFS DFS Dijkstra A* Open points 5731 7871 5770 2068 Closed points 5623 7242 5635 1889 Path length 100.2 398.0 100.2 100.2 Evaluation of SPR on traditional A* Evaluation on simulated map.
Table 3 Data table of simulation results A * before and after processing SPR Start à Goal Closed points Path length Before After Before After [30, 50] à [95, 95] 90 4 100.2 94.5 [30, 50] à [5, 5] 115 4 123.9 118.1 [90, 15] à [5, 95] 121 5 145.3 135.3 [5, 50] à [90, 50] 138 6 151.1 141.7 Evaluation on real map.

The results of numerical simulations using real data reveal that the proposed method can determine suitable sample lengths while maintaining reproduction performance.
We propose a method of obtaining a suitable length of impulse response from the data directly for a multichannel sound reproduction system.
Since the solution becomes underdetermined if there is no rank reduction, the generalized Moore-Penrose (MP) inverse matrix with the least norm solution (LNS) is used.
The amount of energy attenuation of the signal is calculated from the waveform using the square integrating method [6], which is defined for a discrete-time signal as follows: s2k=n=0N-1gn2-l=1kgl2 , (6) where s2(k) is the ensemble mean of the reverberation curve, N is the data length of the impulse response g(n) that contains silent part, and k is the time index for deciding the amount of energy attenuation.
To investigate the effect of the proposed method, numerical simulations were carried out with real environmental data of three rooms with different reverberations.

The research can provide useful data for improvement of metal cutting technology and tool cutting performance.
It can provide valuable analytical data of the process.
It also has a convenient graphic user interface for data input and result observation.
On the other side, the increase of leads to the reduction of deformation coefficient and the principal cutting force.
By simulation using different cutting parameters, the influence of the cutting parameters on the cutting force is studied, which provides useful data for the improvement of metal cutting technology and tool cutting performance.

Results from data analysis found that knowledge on recycling is one of the factors affects the activity of the recycling program.
Only twenty nine close questions were analysed using data transformation, data exploration, Testing One mean and Comparing Means of Two Populations (Independent samples t-test), One-Way Analysis of Variance (one-way ANOVA) and Relationship among Variables of Statistical Package for Social Science (SPSS) version 11.0 and one open-ended question it just to know the opinion of the community about recycling.
Poon: The attitudes of Guangzhou citizens on waste reduction and environmental issues.
[3] R.D.E Young: Recycling as appropriate behavior: a review of suevey data from selected recycling education programs in Michigan.

The welding deformation trends of the 304 stainless steels with different thickness stay the same in a certain range of processing parameters in terms of data collected from the experiment.
The Parameter data for experiment set-up are shown in Tab. 2.
Tab. 2 Parameter data for experiment Parameter 0.5 mm 0.8 mm 1.0 mm Current/A 81~97 118~134 145~180 Pulse duration/ms 4.5~9 6~10 9~12.5 Frequency /Hz 2~5 2~5 2~5 Result and discussion The effect of welding current on welding deformation.
(a) (b) (c) Fig. 3 Effect of laser pulse duration on welding deformation (a) 0.5 mm base metals, I=87A, f=3Hz, (b) 0.8 mm base metals, I=124A, f=3Hz, (c) 1.0 mm base metals, I=160A, f=3Hz There is an inverse relationship between the pulse duration and the power density, thus the increment of pulse duration means the reduction of power density and the extension to the irradiate time of specimens in each pulse.
Based on the data from the experiment, the welding deformation trends of the 304 stainless steels with different thickness stay the same in a certain range of processing parameters.