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The chemical additives were high range water reduction (superplasticizer), the main component is Melamine Formaldehyde Sulfonate.
The technical data for the product is shown in Table 2.
Technical data.
The reduction in water to gypsum ratio was (7.5) % for the paste G5s comparing to the reference paste, and it was increased with 15% comparing to the reference paste, this can be attributed to the smaller particle size gives higher surface area which suggest a higher area is exposed to dissolution.
The reduction in setting time for pastes (G5s, G6s) were (8 and 23)% compared to the paste (G4s ), because the finest particles are characterized by a high tendency to dissolution due to the surface tension.

Through this process, novel constituents emerge on the cathode's surface due to the reduction or deposition of electroactive elements [12].
This indicates that the increase in CaO and MnO2 particles contributed to the reduction of Zn ions toward the surface of mild steel.
Table 5 and Figure 2 illustrate the polarization curve and data for the polarization of the composite Zn-CaO-MnO2 coatings under degrading conditions of NaCl.
Polarization Data for Zn-CaO-MnO2 Coated Samples Sample Ecorr (V) jcorr (A/cm2) Cr (mm/year) Pr (Ω) │ba│ (V/dec) │bc│ (V/dec) As-received -1.0957 1.157E-03 13.449 8.17 0.0341 0.0603 Zn-1.5CaO-1.5MnO2 -1.0898 5.359E-04 6.2276 10.65 0.0489 0.0255 Zn-3CaO-3MnO2 -1.0807 3.899E-04 4.5311 13.23 0.0903 0.0336 Zn-4.5CaO-4.5MnO2 -1.059 1.877E-04 2.1809 35.04 0.0284 0.0289 Zn-6CaO-6MnO2 -1.0952 1.774E-04 2.0618 45.62 0.1057 0.1609 Fig. 2.
Chloride ions penetrate the protective layer and initiate anodic dissolution of zinc (Eq. 1) concurrently with cathodic reactions, specifically involving oxygen reduction (Eq. 2).

There was a reduction in the inflammatory infiltrate throughout the experimental periods, predominantly composed of mononuclear cells concomitant with the increase in compaction of a less cellularized, fibrous capsule.
There was a reduction in the cellularity of the fibrous capsule in relation to the previous period. 1% ZnHA group presented a fibrous capsule well cellularized with a mononuclear inflammatory infiltrate containing cells suggesting macrophages, free of giant cells.
These results are lighter than those observed for the 5% ZnHA [26] and may be explained at the molecular level with 1% ZnHA inducing a reduction of the inflammatory response by decreasing the release of pro-inflammatory cytokines by macrophages [27].
This data associated with biocompatibility observed in the present study suggests the potential application of ZnHA as bone graft.
Monica Diuana Calasans-Maia for the collaborative data interpretation.

The storage yards of red mud after phytoremediation showed initial reduction of contaminated water and soils due to hazardous substances in red mud, which can afforest the mining zone and improve the air quality.
Data Analysis.
All data was processed by SPSS19 software for analysis of variance, and the Duncan’s new multiple range method was used for significance test of mean number Results and Analysis pH variation of soils at different stages of the processing since the improvement of red mud.
Bagasse showed poor adjustment performance of pH value so that the reduction of pH value was not significant.
After the plantation of Pennisetum hybridum, the conductivity of red mud mix matrix showed obvious reduction.

The results of the differential pressure test of the main air-leaking air doors Air door number The side pressure energy of the inlet air of the air door Internal pressure energy of the air door The side pressure energy of the return air of the air door Differential pressure of air leakage (Pa) Absolute pressure (hPa) Phase pressure (mmH2O) Absolute pressure (hPa) Phase pressure (mmH2O) Absolute pressure (hPa) Phase pressure (mmH2O) 1 1132. 6 -33. 0 1129. 9 -61. 1 1129. 1 -68. 6 356 2 1132. 9 -30. 2 1126. 7 -93. 0 1126. 1 -99. 2 690 3 1133. 9 -20. 2 1130. 3 -56. 6 1125. 6 -105. 2 850 4 1133. 8 -21. 1 1128. 0 -79. 8 1127. 1 -89. 0 679 5 1127. 9 -81. 0 1125. 8 -102. 7 1125. 0 -111. 5 305 6 1127. 8 -81. 8 1127. 6 -84. 8 1124. 3 -117. 7 359 7 1128. 5 -78. 7 1124. 9 -111. 4 1122. 8 -134. 9 562 8 1134. 5 -14. 3 1134. 4 -14. 4 1134. 3 -16. 2 19 9 1134. 5 -13. 5 1124. 9 -112. 1 1124. 3 -118. 7 1052 10 1135. 9 0. 8 1030. 9 -50. 3 1121. 8 -142. 8 1436 It can be deferred from the data
For ventilation structure, we mainly use drag reduction to increase its integrity and to reduce the air leakage. (3) For the air door sill of the rail haulage roadway, additional wind shield is needed.
Table 5 The effect of air leakage control for the main leaking air doors Air door number QL1 (m3/min) QL2 (m3/min) △QL (m3/min) Rate of air-leakage reduction (%) 1 41. 28 17. 90 23. 38 56. 6 2 65. 37 24. 92 40. 45 61. 9 3 56. 74 24. 72 32. 02 56. 4 4 61. 55 27. 66 33. 89 55. 1 5 38. 12 16. 57 21. 55 56. 5 6 40. 61 17. 97 22. 64 55. 7 7 51. 45 22. 49 28. 96 56. 3 8 15. 33 / / / 9 69. 81 30. 77 39. 04 55. 9 10 59. 07 29. 35 29. 72 50. 3 Footing 499. 33 56. 1 According to sheet5, after the application of above methods, the problem of air leakage of the main air doors in SHAOYAO mine has been relatively alleviated, the average reduction rate being 55%.
The above data prove that air leakage has been reduced by 56.1% averagely after applying new methods.

Due to both CMC CTAB-PH SiO2 and CMC SDS-PH SiO2 systems having higher adsorption energy compared to PH SiO2, thus, the primary parameter was particle hydrophobicity rather than surface tension reduction.
Saien et al. [24] reported that a solely surfactant system has a greater effect on surface tension reduction compared to a solely nanoparticle system.
In comparison to surfactant alone, adding nanoparticles to surfactant solutions leads to a more significant pressure drop and, as a result, a higher reduction in gas mobility which ultimately assists in enhancing oil recovery [30]. 3.5 The Optimum Concentration of Surfactant The effect of surfactant concentration in the presence of optimum nanoparticles concentration obtained earlier was studied.
J Chem Eng Data. 2014 Jun 12;59(6):1835–42
Experimental and data-driven analysis for predicting nanofluid performance in improving foam stability and reducing mobility at critical micelle concentration.

It can be seen that the diffraction features of all the samples can be indexed with the ZnO hexagonal phase of wurtzite type structure (space group P63mc), which are in good agreement with standard data (JCPDS No. 36-1451).
The lattice parameter (c) and microstrain (ε) of the ZnO nanostructures were calculated using the XRD data according to the following formulas: 1d2=4(h2+hk+k2 ) 3a2+ l2c2 , (2) ε=βcosθ4, (3) where, β is the full width at the half maximum, θ is the peak position, and h, k and l are the miller indices.
For all the NPs, the high transmittance in the visible range of the spectrum and sharp reduction in the absorption band edges in the UV region of the spectrum indicate the good optical and crystal quality of the NPs in agreement with the XRD analyses.
With reduction in the band gap energy up to 3 at.% Co content, the higher number of carriers results in a better photocatalyst.
Tsuzuki, Co-doped ZnO nano powders: location of cobalt and reduction in photocatalytic activity, Mater.

SN ratio is useful for improvement of quality thru variability reduction and the improvement of measurement [5].
Figure 1 shows the main effects plot (data means) and interaction plot (data means) for the SN ratio for parameter A, B, C, D, E and F.
The parameters were analyzed by using ANOVA to determine the variance of the test data and evaluate the significant of the process parameters.
5.0942 5.1855 4.7959 5.0677 4.8657 13.9712 16 2 3 1 2 1 2 3 3 1 2 2 3 1 5.1077 5.0079 5.0231 4.8978 4.9833 13.9839 17 2 3 1 2 2 3 1 1 2 3 3 1 2 5.0769 5.1404 4.7593 5.3750 5.0698 14.1047 18 2 3 1 2 3 1 2 2 3 1 1 2 3 5.2672 5.2090 5.1298 5.2615 5.0741 14.2977 19 3 1 3 2 1 3 2 1 3 2 1 3 2 5.1308 5.0511 5.1832 5.0896 5.2214 14.2093 20 3 1 3 2 2 1 3 2 1 3 2 1 3 5.2254 5.2091 4.9821 4.5556 5.0654 13.9594 21 3 1 3 2 3 2 1 3 2 1 3 2 1 5.1770 4.7209 3.9054 5.2478 5.0756 13.5091 22 3 2 1 3 1 3 2 2 1 3 3 2 1 5.0154 5.0758 6.2593 4.9704 4.8113 14.2534 23 3 2 1 3 2 1 3 3 2 1 1 3 2 5.2222 4.9559 5.1148 5.1628 5.3514 14.2471 24 3 2 1 3 3 2 1 1 3 2 2 1 3 4.8069 5.0815 5.2519 4.6449 5.3077 13.9771 25 3 3 2 1 1 3 2 3 2 1 2 1 3 4.7222 5.0146 5.0296 5.1259 4.8286 13.8702 26 3 3 2 1 2 1 3 1 3 2 3 2 1 5.1575 5.0756 5.0948 5.2290 5.0164 14.1737 27 3 3 2 1 3 2 1 2 1 3 1 3 2 5.0541 4.5493 4.7174 5.2430 5.0780 13.8182 Table 2 L-27 orthogonal array with 13 three-level column Fig. 1 (a) Main effects plot (data
means) for S/N and (b) Interaction plot (data means) for S/N The Confidence Interval (C.

Tab.2 Typical vertical cracks with the change of the loading process width table Load stage 3 Load（t）and cycles 0—14T Cycles（n） 1 2 3 4 5 6 7 8 9 10 Vertical crack width（mm） 0.14 0.14 0.18 0.22 0.25 0.28 0.28 0.28 Load stage 4 load（t）and cycles 0—16T Cycles（n） 1 2 3 4 5 6 7 8 9 10 Vertical crack width（mm） 0.28 0.28 0.28 0.28 0.28 0.28 0.28 0.29 0.29 0.29 Load stage5 load（t） 19 21 23 25 30 35 Vertical crack width（mm）） 0.31 0.38 0.45 0.6 0.9 1.4 Load stage6 Load（t） 0 10 20 30 33.8 35.7 40 44.3 50 Vertical crack width（mm） 0.34 0.34 0.64 0.78 1.14 1.32 1.44 1.53 2.22 From the data in Table.2, it shows that when cyclic loading to 14 T~ 20T, the crack change little; In the loading process of 20 T~ 26 T, vertical crack width is obviously increased, and the loading process of 26 T ~ 30 T, the crack width is increased sharply.
The test data show that at the initial stage when the load is low and crack width is narrow, cyclic loading does not exerts an influence crack development，And when the load increase and crack expand to a certain level, cyclic loading exerts an influence crack development visibly.
Assuming Reduction coefficient when crack again, the type (expression 1) can be expressed as ，namely: (2) The relationship between the crack moment and the last can be simply expressed by.
A curve which explains the relationship between the crack moment and the cyclic loading times is got by the least square method (brunet curve fitting curve, the other for test data in fig.5).
Due to limited test data, the results above need to be further studied and remain to revised.

The use of isoconversional models, or free-models, is recommended as a trustworthy way of obtaining reliable and consistent kinetic information from dynamic TG data [11].
Although the weight loss rate data is not described in detail, the isoconversional methods generate consistent kinetic results and enable a reasonable prediction of the final conversion of the pyrolysis process [12].
In this work, the Kissinger method [13] and the isoconversional methods of Ozawa [14], Starink [15], Kissinger-Akahira-Sunose [16] and Friedman [17] were used in calculating the global activation energy of slow pyrolysis of bagasse, from TG data.
Weight and time/temperature data were recorded, yielding the weight loss (TG) and differential weight loss (DTG) curves.
The data used in the regressions correspond to conversions of 5, 10, 20, 30, 45, 60 and 75%.