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Online since: September 2013
Authors: Sheng Jun Miao, Dian Fei Pei, Guan Lin Huang, Han Chen
Grain sizes of gold are mostly smaller than 0.037 mm (Li et al., 2003).
Medium-grain biotite granite; 8.Gneissic biotite granite; 9.
Table 1 Logarithmic frequency and lognormal distribution fitting results of 1# ore body grade of the gold mine Group number Statistical result Distribution density Cumulative frequency Class midpoint Times Frequency Statistical values Fitting values Absolute differences Statistical values Fitting values x PS PL j = PL/interval j (x) j -j (x) SPL SP (x) 1 -1.0 310 0.0803 0.2008 0.1879 0.0129 0.0803 0.07516 2 -0.6 608 0.1575 0.3938 0.3834 0.0104 0.2378 0.22852 3 -0.2 894 0.2316 0.5790 0.5542 0.0249 0.4694 0.45020 4 0.2 873 0.2262 0.5654 0.5672 -0.0018 0.6956 0.67708 5 0.6 638 0.1653 0.4132 0.4112 0.0020 0.8609 0.84156 6 1.0 377 0.0977 0.2442 0.2111 0.0331 0.9585 0.92600 7 1.4 135 0.0350 0.0874 0.0768 0.0107 0.9935 0.95672 8 1.8 25 0.0065 0.0162 0.0198 -0.0036 1.0000 0.96464 Fig.2 Lognormal distribution fitting curve of 1# ore body grade of the gold mine 3.2 Single engineering grade statistics and logarithmic normal distribution Through single engineering grades statistics from 144
Table 2 Logarithmic frequency and lognormal distribution fitting results of 1# ore body single engineering grade of the mine Group number Statistical result Distribution density Cumulative frequency Class midpoint Times Frequency Statistical values Fitting values Absolute differences Statistical values Fitting values x PS PL j = PL/interval j (x) j -j (x) SPL SP (x) 1 0.1 1 0.0069 0.0347 0.0662 -0.0315 0.0069 0.01324 2 0.3 6 0.0417 0.2083 0.3410 -0.1326 0.0486 0.08144 3 0.5 29 0.2014 1.0069 0.9674 0.0395 0.2500 0.27492 4 0.7 46 0.3194 1.5972 1.5120 0.0852 0.5694 0.57732 5 0.9 33 0.2292 1.1458 1.3019 -0.1560 0.7986 0.83770 6 1.1 20 0.1389 0.6944 0.6175 0.0770 0.9375 0.96120 7 1.3 7 0.0486 0.2431 0.1613 0.0817 0.9861 0.99346 8 1.5 2 0.0139 0.0694 0.0232 0.0462 1.0000 0.99810 Fig.3 Lognormal distribution fitting curve of 1# ore body single engineering grade of the gold mine 3.3 Linear productivity statistics and logarithmic normal distribution Linear productivity is the product of grade
Table 3 Logarithmic frequency and lognormal distribution fitting results of 1# ore body linear productivity of the gold mine Group number Statistical result Distribution density Cumulative frequency Class midpoint Times Frequency Statistical values Fitting values Absolute differences Statistical values Fitting values x PS PL j = PL/interval j (x) j -j (x) SPL SP (x) 1 0.35 1 0.0069 0.0231 0.0007 0.0224 0.0069 0.00021 2 0.65 3 0.0208 0.0694 0.0062 0.0632 0.0278 0.00207 3 0.95 6 0.0417 0.1389 0.0370 0.1019 0.0694 0.01317 4 1.25 5 0.0347 0.1157 0.1473 -0.0316 0.1042 0.05736 5 1.55 15 0.1042 0.3472 0.3931 -0.0459 0.2083 0.17529 6 1.85 30 0.2083 0.6944 0.7026 -0.0081 0.4167 0.38607 7 2.15 36 0.2500 0.8333 0.8412 -0.0079 0.6667 0.63843 8 2.45 29 0.2014 0.6713 0.6748 -0.0035 0.8681 0.84087 9 2.75 14 0.0972 0.3241 0.3626 -0.0385 0.9653 0.94965 10 3.05 5 0.0347 0.1157 0.1305 -0.0148 1.0000 0.9888 Fig.4 Lognormal distribution fitting curve of 1# ore body linear productivity of the gold mine
Medium-grain biotite granite; 8.Gneissic biotite granite; 9.
Table 1 Logarithmic frequency and lognormal distribution fitting results of 1# ore body grade of the gold mine Group number Statistical result Distribution density Cumulative frequency Class midpoint Times Frequency Statistical values Fitting values Absolute differences Statistical values Fitting values x PS PL j = PL/interval j (x) j -j (x) SPL SP (x) 1 -1.0 310 0.0803 0.2008 0.1879 0.0129 0.0803 0.07516 2 -0.6 608 0.1575 0.3938 0.3834 0.0104 0.2378 0.22852 3 -0.2 894 0.2316 0.5790 0.5542 0.0249 0.4694 0.45020 4 0.2 873 0.2262 0.5654 0.5672 -0.0018 0.6956 0.67708 5 0.6 638 0.1653 0.4132 0.4112 0.0020 0.8609 0.84156 6 1.0 377 0.0977 0.2442 0.2111 0.0331 0.9585 0.92600 7 1.4 135 0.0350 0.0874 0.0768 0.0107 0.9935 0.95672 8 1.8 25 0.0065 0.0162 0.0198 -0.0036 1.0000 0.96464 Fig.2 Lognormal distribution fitting curve of 1# ore body grade of the gold mine 3.2 Single engineering grade statistics and logarithmic normal distribution Through single engineering grades statistics from 144
Table 2 Logarithmic frequency and lognormal distribution fitting results of 1# ore body single engineering grade of the mine Group number Statistical result Distribution density Cumulative frequency Class midpoint Times Frequency Statistical values Fitting values Absolute differences Statistical values Fitting values x PS PL j = PL/interval j (x) j -j (x) SPL SP (x) 1 0.1 1 0.0069 0.0347 0.0662 -0.0315 0.0069 0.01324 2 0.3 6 0.0417 0.2083 0.3410 -0.1326 0.0486 0.08144 3 0.5 29 0.2014 1.0069 0.9674 0.0395 0.2500 0.27492 4 0.7 46 0.3194 1.5972 1.5120 0.0852 0.5694 0.57732 5 0.9 33 0.2292 1.1458 1.3019 -0.1560 0.7986 0.83770 6 1.1 20 0.1389 0.6944 0.6175 0.0770 0.9375 0.96120 7 1.3 7 0.0486 0.2431 0.1613 0.0817 0.9861 0.99346 8 1.5 2 0.0139 0.0694 0.0232 0.0462 1.0000 0.99810 Fig.3 Lognormal distribution fitting curve of 1# ore body single engineering grade of the gold mine 3.3 Linear productivity statistics and logarithmic normal distribution Linear productivity is the product of grade
Table 3 Logarithmic frequency and lognormal distribution fitting results of 1# ore body linear productivity of the gold mine Group number Statistical result Distribution density Cumulative frequency Class midpoint Times Frequency Statistical values Fitting values Absolute differences Statistical values Fitting values x PS PL j = PL/interval j (x) j -j (x) SPL SP (x) 1 0.35 1 0.0069 0.0231 0.0007 0.0224 0.0069 0.00021 2 0.65 3 0.0208 0.0694 0.0062 0.0632 0.0278 0.00207 3 0.95 6 0.0417 0.1389 0.0370 0.1019 0.0694 0.01317 4 1.25 5 0.0347 0.1157 0.1473 -0.0316 0.1042 0.05736 5 1.55 15 0.1042 0.3472 0.3931 -0.0459 0.2083 0.17529 6 1.85 30 0.2083 0.6944 0.7026 -0.0081 0.4167 0.38607 7 2.15 36 0.2500 0.8333 0.8412 -0.0079 0.6667 0.63843 8 2.45 29 0.2014 0.6713 0.6748 -0.0035 0.8681 0.84087 9 2.75 14 0.0972 0.3241 0.3626 -0.0385 0.9653 0.94965 10 3.05 5 0.0347 0.1157 0.1305 -0.0148 1.0000 0.9888 Fig.4 Lognormal distribution fitting curve of 1# ore body linear productivity of the gold mine
Online since: November 2016
Authors: Egle Conforto, Stephane Cohendoz, Cyril Berziou, Xavier Feaugas, Patrick Girault
Fig. 2a shows a BF image of the precipitate inside a grain of the a-Zr matrix.
In Fig. 3a a transgranular d-hydride grain in an alloy #2 sample is shown in [-110] zone axis parallel to the [-1-120] substrate zone axis.
Fig. 5 shows the evolution of Td (Fig. 5a) and Tp (Fig. 5b) as a function of the number of cycles for Zy-4 containing 112 wppm and 356 ppm of H.
Dissolution Precipitation Fig. 5: Evolution of Td and Tp as a function of the number of cycles for Zy-4 samples containing 112 ppm and 356 ppm of H.
Also, Td and Tp values, and probably the difference between their evolution curves vary as a function of the cycle number.
In Fig. 3a a transgranular d-hydride grain in an alloy #2 sample is shown in [-110] zone axis parallel to the [-1-120] substrate zone axis.
Fig. 5 shows the evolution of Td (Fig. 5a) and Tp (Fig. 5b) as a function of the number of cycles for Zy-4 containing 112 wppm and 356 ppm of H.
Dissolution Precipitation Fig. 5: Evolution of Td and Tp as a function of the number of cycles for Zy-4 samples containing 112 ppm and 356 ppm of H.
Also, Td and Tp values, and probably the difference between their evolution curves vary as a function of the cycle number.
Online since: April 2012
Authors: Carlos Roberto Grandini, Walter José Botta Filho, Odila Florêncio
An increasing diffusion coefficient with increasing nitrogen content was reported in Pd alloys in which nitrogen atoms fill the trapping sites, which are a consequence of the high density of grain boundaries or dislocations [10, 11].
The Nb-46wt%Ti alloys studied here are polycrystalline with small grains and contain a large number of grain boundaries that can form trapping sites for nitrogen atoms and, as a consequence, increase the nitrogen diffusion coefficient.
The Nb-46wt%Ti alloys studied here are polycrystalline with small grains and contain a large number of grain boundaries that can form trapping sites for nitrogen atoms and, as a consequence, increase the nitrogen diffusion coefficient.
Online since: February 2011
Authors: Xiao Lin Jia, Mei Pin Ma, Wei Liu, Li Tian, Xiao Peng Mo
The phase of the samples in Fig. 1 could be identified as an ordered olivine-type structure indexed to orthorhombic Pnmb(JCPDS card number: 40-1499).
Moreover we can know that the peak of LiFePO4 gradually sharpen with the increase of temperatures, indicating that the crystallinity of samples is becoming better because of the growth of grain size, ordering of local structure, and release of lattice strain [10].
We calculate the grain size from the (200) peaks by Scherrer’s equation and the values are 37, 46 and 64nm for LiFePO4/C prepared at 600, 700 and 800 , respectively.
Grain sizes are smaller than those of LiFePO4 prepared by conventional solid-state reaction due to the inhibition of crystal growth by the presence of carbon generated from sucrose and a short synthesis time.
Moreover we can know that the peak of LiFePO4 gradually sharpen with the increase of temperatures, indicating that the crystallinity of samples is becoming better because of the growth of grain size, ordering of local structure, and release of lattice strain [10].
We calculate the grain size from the (200) peaks by Scherrer’s equation and the values are 37, 46 and 64nm for LiFePO4/C prepared at 600, 700 and 800 , respectively.
Grain sizes are smaller than those of LiFePO4 prepared by conventional solid-state reaction due to the inhibition of crystal growth by the presence of carbon generated from sucrose and a short synthesis time.
Online since: October 2010
Authors: Hua Ding, Zheng You Tang
A large number of research results concerning Si TRIP steel show that [5,6], it is difficult to achieve good mechanical properties of the steel with Si mass fraction less than 0.6%, therefore other alternative elements should be added.
Comparing the grains of ferrite, bainite and retained austenite of A and B TRIP steel in Fig.1, it can be found that the partial substitution of Si by Al makes grain refined.
This may be caused by the increase in Al2O3 and AlN particles suppressing the prior austenite grain growth.
Comparing the grains of ferrite, bainite and retained austenite of A and B TRIP steel in Fig.1, it can be found that the partial substitution of Si by Al makes grain refined.
This may be caused by the increase in Al2O3 and AlN particles suppressing the prior austenite grain growth.
Online since: December 2012
Authors: Rinat V. Safiullin
The multilayer structures obtained by the SPF/PW technology are called cellular structures because they appear in the form of the hollow thin shells, separated by the simultaneously made partitions into a number of cells.
The unusually rapid gripe at these sites shows a high activating abilities of cooperative grain boundary sliding.
Due to the grain boundary sliding, plastic deformation localizes in the regions that are not in contact.
This happens due to action of several processes: grain boundary sliding, filling of the pores by the β- phase, and by the development of the diffusion processes.
The unusually rapid gripe at these sites shows a high activating abilities of cooperative grain boundary sliding.
Due to the grain boundary sliding, plastic deformation localizes in the regions that are not in contact.
This happens due to action of several processes: grain boundary sliding, filling of the pores by the β- phase, and by the development of the diffusion processes.
Online since: September 2013
Authors: Xiang Biao Li, Hui Ling Yu, Ai Jiang He
The purity of white carbon black through vapor phase method is very high, the grain diameter is small, and the constitutive property is high.
Na2O is 4.01%, SiO2 is13.34%, and the number of modules is 3.46%.
In the processing of preparing antibacterial white carbon black, the surface tension of original grains of white carbon black can be reduced, the agglomeration of grains can be blocked and the specific surface area of carriers can be increased after adding the non-ionic surface active agent PEG.
Na2O is 4.01%, SiO2 is13.34%, and the number of modules is 3.46%.
In the processing of preparing antibacterial white carbon black, the surface tension of original grains of white carbon black can be reduced, the agglomeration of grains can be blocked and the specific surface area of carriers can be increased after adding the non-ionic surface active agent PEG.
Online since: May 2013
Authors: Hong Di Zhang, Chen Hao Sheng, Bin Sun, Yun Ze Long
The higher magnification image at 800 °C shown in Fig. 2d indicates that highly continuous porous nanofibers were formed and the crystalline grains grew up at 800 °C, which reflects that this annealing condition is of benefit to the formation of the pores and continuous nanocrystalline grains.
Therefore, the calcinated nanofibers at 800 °C are porous and continuous nanocrystallites with a high surface to volume ratio, which is suitable on application of gas sensors. 3.2 Humidity sensing properties The electrospun BTO nanofibers calcinated at 800 °C are composed of continuous nanocrystalline grains with nanoscale pores.
So a large number of ions emerge in the surface such as H+ and H3O+ (H2O + H+ = H3O+) to act as charge carriers, leading to low resistance.
Therefore, the calcinated nanofibers at 800 °C are porous and continuous nanocrystallites with a high surface to volume ratio, which is suitable on application of gas sensors. 3.2 Humidity sensing properties The electrospun BTO nanofibers calcinated at 800 °C are composed of continuous nanocrystalline grains with nanoscale pores.
So a large number of ions emerge in the surface such as H+ and H3O+ (H2O + H+ = H3O+) to act as charge carriers, leading to low resistance.
Online since: February 2014
Authors: Chuan Bao Wu, Xiang Hui Zeng
Pure grain cultivation consumes much agrochemical and time but does not bring peasants obvious gains.
If transforming part grain cultivation to characteristic agriculture with high added value and special fine application, the income of peasants and environmental protection can commonly be improved.Transfering labor force to high technology industry seems impossible in terms of current status.
Composting the wastes can be quite effective in decreasing the number of pathogens.
New grain and economic crop with high output and properties of insect resistance, nitrogen immobilization as well as special nutrition can be developed by transgene and special breeding technology such as outer space breeding.
If transforming part grain cultivation to characteristic agriculture with high added value and special fine application, the income of peasants and environmental protection can commonly be improved.Transfering labor force to high technology industry seems impossible in terms of current status.
Composting the wastes can be quite effective in decreasing the number of pathogens.
New grain and economic crop with high output and properties of insect resistance, nitrogen immobilization as well as special nutrition can be developed by transgene and special breeding technology such as outer space breeding.
Online since: January 2013
Authors: Murat Gilmanov, Adil Yrezhepov, Nurzhan Dosbaev, Sanyam Ibragimova, Adlet Esmambetov
We study the effect of OMF on the activity of ATPase of plasma membranes from wheat grains.
Table 1 - Effect of OMF on the activity of ATPase of plasma membranes from wheat grains.
Options ATPase activity of the plasma membrane and the ions Mg2 + mkM P inorg / mg protein ATPase activity of the plasma membrane Ca2 +-ion mkM P inorg / mg protein without controller with regulator without controller with regulator inembryonate part 180 ± 21 250 ± 55 140 ± 26 280 ± 53 whole grains 200 ± 36 - 160 ± 41 400 ± 32 As you can see from this table the OMF causes the increasing Ca2 +-ATPase activity.
Cline – Assistant Professor/University of Guelph [3] RUSSIAN AGRICULTURAL SCIENCES Volume 33, Number 4 (2007), 233-235, DOI: 10.3103/S1068367407040064 Protective role of bioregulator stifun under the negative effect of cadmium O.
Table 1 - Effect of OMF on the activity of ATPase of plasma membranes from wheat grains.
Options ATPase activity of the plasma membrane and the ions Mg2 + mkM P inorg / mg protein ATPase activity of the plasma membrane Ca2 +-ion mkM P inorg / mg protein without controller with regulator without controller with regulator inembryonate part 180 ± 21 250 ± 55 140 ± 26 280 ± 53 whole grains 200 ± 36 - 160 ± 41 400 ± 32 As you can see from this table the OMF causes the increasing Ca2 +-ATPase activity.
Cline – Assistant Professor/University of Guelph [3] RUSSIAN AGRICULTURAL SCIENCES Volume 33, Number 4 (2007), 233-235, DOI: 10.3103/S1068367407040064 Protective role of bioregulator stifun under the negative effect of cadmium O.