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Online since: July 2015
Authors: Anatoly V. Chzhan, Yan V. Zubavichus, Gennady S. Patrin, R.Yu. Rudenko, Vladimir N. Zabluda, V.A. Seredkin, Yu.L. Mikhlin
The reduction of the dispersion of the polar Kerr effect saturation field in the Со-Ni-P films is attributed to ordering of Сo-Ni atomic pairs.
This result is qualitatively coincides with the data obtained on the polycrystalline Со-Р films [3], in which the phosphorous content increases upon embedding of nickel.
As it was demonstrated in [3], due to the difference in the variations ∆G of the Gibbs energy related to the enthalpy and entropy factors, the Ni reduction rate is higher than the Co reduction rate.
The observed reduction of the dispersion of the polar Kerr effect saturation field in the Со-Ni-P films is attributed to the ordering of Сo-Ni atomic pairs.
This result is qualitatively coincides with the data obtained on the polycrystalline Со-Р films [3], in which the phosphorous content increases upon embedding of nickel.
As it was demonstrated in [3], due to the difference in the variations ∆G of the Gibbs energy related to the enthalpy and entropy factors, the Ni reduction rate is higher than the Co reduction rate.
The observed reduction of the dispersion of the polar Kerr effect saturation field in the Со-Ni-P films is attributed to the ordering of Сo-Ni atomic pairs.
Online since: July 2014
Authors: Li Zhou, Hai Tao Yang, Xiao Pan Li, Cheng Yang
The HEASARC'S Swift CALDB system which stores and indexes datasets associated with the calibration of the Swift instrument is essential for data reduction and analysis.
Photometric Data Procession Method The UVOT data can be described using three basic modes: Image, Event and Image & Event.
Here, we consider the analysis of image mode data; in the further article, we consider how to deal with the Event mode data.
The publicly available data can be downloaded from the HEASARC archive [7].
We are grateful to the entire Swift team and the UK Swift Science Data Centre.
Photometric Data Procession Method The UVOT data can be described using three basic modes: Image, Event and Image & Event.
Here, we consider the analysis of image mode data; in the further article, we consider how to deal with the Event mode data.
The publicly available data can be downloaded from the HEASARC archive [7].
We are grateful to the entire Swift team and the UK Swift Science Data Centre.
Online since: July 2013
Authors: Nong Cheng, Yi Gui
Shuttle Radar Topography Mission (SRTM) terrain data is used in simulations to investigate the performance of RRBPF.
Inertial Navigation System (INS) is often regarded as the primary navigation data source.
SRTM terrain data with the resolution of 90m used in the simulations is obtained from the International Scientific Data Service Platform [9].
The terrain data covers the area of Sichuan Province.
With the bilinear interpolation technology, we get the elevation of any position within the range of terrain data.
Inertial Navigation System (INS) is often regarded as the primary navigation data source.
SRTM terrain data with the resolution of 90m used in the simulations is obtained from the International Scientific Data Service Platform [9].
The terrain data covers the area of Sichuan Province.
With the bilinear interpolation technology, we get the elevation of any position within the range of terrain data.
Online since: May 2022
Authors: Boonyanit Thaweboon, Sroisiri Thaweboon, Cherdkul Sopavanit
No significant biofilm reduction was observed in A. viscosus.
In addition, F. nucleatum was found to be more sensitive to vanillin since biofilm reduction started to be noticeable at low concentration (0.1% vanillin).
No significant biofilm reduction was observed in A. viscosus.
gingivalis 1.052+0.035 1.075+0.040 0.886+0.065* 0.643+0.017* F. nucleatum 0.815+0.011 0.794+0.012* 0.756+0.013* 0.560+0.008* A.viscosus 1.243+0.010 1.252+0.009 1.242+0.016 1.237+0.006 A.actinomycetemcomitans 1.412+0.021 1.423+0.018 1.023+0.039* 0.871+0.076* *significant difference from control at p-value <0.05 data expressed as mean + SD The percentages of biofilm reduced compared with controls were presented in Figure 1.
In our experiment, F. nucleatum was found to be more sensitive to vanillin since biofilm reduction started at low concentration.
In addition, F. nucleatum was found to be more sensitive to vanillin since biofilm reduction started to be noticeable at low concentration (0.1% vanillin).
No significant biofilm reduction was observed in A. viscosus.
gingivalis 1.052+0.035 1.075+0.040 0.886+0.065* 0.643+0.017* F. nucleatum 0.815+0.011 0.794+0.012* 0.756+0.013* 0.560+0.008* A.viscosus 1.243+0.010 1.252+0.009 1.242+0.016 1.237+0.006 A.actinomycetemcomitans 1.412+0.021 1.423+0.018 1.023+0.039* 0.871+0.076* *significant difference from control at p-value <0.05 data expressed as mean + SD The percentages of biofilm reduced compared with controls were presented in Figure 1.
In our experiment, F. nucleatum was found to be more sensitive to vanillin since biofilm reduction started at low concentration.
Online since: September 2011
Authors: M. Zadshakoyan, E.Abdi Sobbouhi, H. Jafarzadeh
The work presented in this paper might be used for basic data in the design of the precision forging process.
The simulation engine reads the database file, performs the actual solution calculation and appends the appropriate solution data to the database file.
Experimental 3.1Material properties Compression tests were performed on commercial lead billets using workpieces of 20 mm in diameters and 30 mm in height (h/d=1.5) to obtain true stress-strain data.
The figures show the variation of the specific pressure with reduction in height.
The specific pressure increases with the number of teeth and height reduction for a given module.
The simulation engine reads the database file, performs the actual solution calculation and appends the appropriate solution data to the database file.
Experimental 3.1Material properties Compression tests were performed on commercial lead billets using workpieces of 20 mm in diameters and 30 mm in height (h/d=1.5) to obtain true stress-strain data.
The figures show the variation of the specific pressure with reduction in height.
The specific pressure increases with the number of teeth and height reduction for a given module.
Online since: September 2013
Authors: Simon Vilmos
Considerable reductions in the maximum tooth contact pressure and in the transmission errors were obtained.
The main design data of the example face-hobbed hypoid gear pair used in this study are as follows: number of pinion and gear teeth 10 and 41, respectively, module 3.4 mm, pressure angle 20 deg, mean spiral angles 52 deg and 27.3 deg for the pinion and the gear, respectively.
Moderate reduction in the maximum tooth contact pressure (7%) and drastic reduction in the maximum angular displacement error of the driven gear (83%) were obtained.
The main design data of the example face-hobbed hypoid gear pair used in this study are as follows: number of pinion and gear teeth 10 and 41, respectively, module 3.4 mm, pressure angle 20 deg, mean spiral angles 52 deg and 27.3 deg for the pinion and the gear, respectively.
Moderate reduction in the maximum tooth contact pressure (7%) and drastic reduction in the maximum angular displacement error of the driven gear (83%) were obtained.
Online since: March 2006
Authors: An Jie Wang, Dong Pyo Kim, Jia Yan
Aqueous AgNO3 was infiltrated into the
carbon template and reduced to Ag by borohydride reduction reaction, followed by burning of the
sacrificial template in air at 500~650ºC.
Berquier et al. synthesized Ag nanoparticles within mesoporous silica film by a chemical route which included ion-exchange with Ag(NH3)2+ followed by reduction process [2].
In our study, Ag metallic sponge with a surface area of 12 m 2/g was synthesized by infiltrating AgNO3 solution into macroporous carbon template, followed by room temperature reduction with NaBH4 and removal of the template at 500~650ºC in air.
The XRD data show reflections at 2.37, 2.04, 1.44, 1.23 and 1.18 corresponding to the (111), (200), (220), (311) and (222) d spacings, respectively, of metallic silver with a face-centered-cubic unit cell structure [7].
Summary The silver metallic sponges with surface area of 12 m 2/g have been synthesized by depositing Ag nanoparticles on the inner surface of macroporous carbon template, via room temperature reduction step with borohydride.
Berquier et al. synthesized Ag nanoparticles within mesoporous silica film by a chemical route which included ion-exchange with Ag(NH3)2+ followed by reduction process [2].
In our study, Ag metallic sponge with a surface area of 12 m 2/g was synthesized by infiltrating AgNO3 solution into macroporous carbon template, followed by room temperature reduction with NaBH4 and removal of the template at 500~650ºC in air.
The XRD data show reflections at 2.37, 2.04, 1.44, 1.23 and 1.18 corresponding to the (111), (200), (220), (311) and (222) d spacings, respectively, of metallic silver with a face-centered-cubic unit cell structure [7].
Summary The silver metallic sponges with surface area of 12 m 2/g have been synthesized by depositing Ag nanoparticles on the inner surface of macroporous carbon template, via room temperature reduction step with borohydride.
Online since: September 2019
Authors: Cho Pei Jiang, Sergey Surudin, Igor N. Bobrovskij, Yaroslav A. Erisov, Bakhtiyar Khamrayev
This work was based on the developed methodology for data transfer between ProCAST and Deform-3D programs which allows to export geometry, temperature, residual stress and microstructure of casting [10-11].
The material's properties were used from program's data base.
Reductions per pass was 20 and 25 mm respectively.
As a result of the recrystallization processes, the reduction of the grain size starts [20].
Interval method of bisection for a metrologically based search for the roots of equations with inaccurately specified initial data.
The material's properties were used from program's data base.
Reductions per pass was 20 and 25 mm respectively.
As a result of the recrystallization processes, the reduction of the grain size starts [20].
Interval method of bisection for a metrologically based search for the roots of equations with inaccurately specified initial data.
Online since: October 2011
Authors: Jun Jing Guo, Wen Bin Chen
Soda Industrial Production Forecast
Alkali industry ,the major downstream industries are building materials(mainly glass},paper,medicine,chemical industry.The composition of China's soda ash consumption in recent years, generally are: soda glass industry accounts for about 42% of total consumption, accounting for 18% of the chemical industry, light industry accounted for 12%, accounting for 7% of metallurgical industry, civil accounted for 7%, other industries 14%[6].Our 1989-2004 year of glass, paper, soap, cloth, caustic soda, soda ash production data fitting, the data in Table 1.
Table1.Alkali industry, the major downstream industries are building materials (mainly glass), paper, medicine, chemical industry.The composition of China's soda ash consumption in recent years, generally are: soda glass industry accounts for about 42% of total consumption, accounting for 18% of the chemical industry, light industry accounted for 12%, accounting for 7% of metallurgical industry, civil accounted for 7%, other industries 14%[6].Our 1989-2004 year of glass, paper, soap, cloth, caustic soda, soda ash production data fitting, the data in Table 1.
The energy consumption of China's high level of energy-consuming industries than the energy consumption per tonne of soda ash is about 20%, energy consumption per tonne of caustic soda at about 14.7% higher.Therefore, we assume that: in 2006, respectively caustic soda, soda ash comprehensive energy consumption as the benchmark, caustic soda, comprehensive energy consumption reduction of 1.7% per annum by 2020 standards to the international advanced level 1100kg standard coal / t of caustic soda, reduction of 0.5% every year since then.Soda ash comprehensive energy consumption reduction of 1.3% per annum by 2020, the standard level of 330kg to reach the international advanced standard coal / t soda ash, reduction of 0.5% every year since then.Forecast results in Table 7.
(3)Alkali industry mainly because of CO2 emissions from electricity generated in the process ,we can see from the forecast data since 2010 ,after decreasing in 2020 compared with 2010 to reduce by as much as 50%,mainly because the future generation will be slow.Slow changes in the dominant position of coal, China's energy structure to the direction of cleaner low-carbon development, and greater use of hydropower, nuclear power and bio-energy generation
(4)Alkali production capacity from the forecast, energy demand, CO2 emissions from the whole, the next few years, China will continue to increase the amount of alkali production by 2010 after a gradual reduction in energy demand and CO2 emissions will also be gradually reduced.
Table1.Alkali industry, the major downstream industries are building materials (mainly glass), paper, medicine, chemical industry.The composition of China's soda ash consumption in recent years, generally are: soda glass industry accounts for about 42% of total consumption, accounting for 18% of the chemical industry, light industry accounted for 12%, accounting for 7% of metallurgical industry, civil accounted for 7%, other industries 14%[6].Our 1989-2004 year of glass, paper, soap, cloth, caustic soda, soda ash production data fitting, the data in Table 1.
The energy consumption of China's high level of energy-consuming industries than the energy consumption per tonne of soda ash is about 20%, energy consumption per tonne of caustic soda at about 14.7% higher.Therefore, we assume that: in 2006, respectively caustic soda, soda ash comprehensive energy consumption as the benchmark, caustic soda, comprehensive energy consumption reduction of 1.7% per annum by 2020 standards to the international advanced level 1100kg standard coal / t of caustic soda, reduction of 0.5% every year since then.Soda ash comprehensive energy consumption reduction of 1.3% per annum by 2020, the standard level of 330kg to reach the international advanced standard coal / t soda ash, reduction of 0.5% every year since then.Forecast results in Table 7.
(3)Alkali industry mainly because of CO2 emissions from electricity generated in the process ,we can see from the forecast data since 2010 ,after decreasing in 2020 compared with 2010 to reduce by as much as 50%,mainly because the future generation will be slow.Slow changes in the dominant position of coal, China's energy structure to the direction of cleaner low-carbon development, and greater use of hydropower, nuclear power and bio-energy generation
(4)Alkali production capacity from the forecast, energy demand, CO2 emissions from the whole, the next few years, China will continue to increase the amount of alkali production by 2010 after a gradual reduction in energy demand and CO2 emissions will also be gradually reduced.
Online since: October 2014
Authors: Yan Yang, Qing Liu, Xiao Feng Chen
The data processing platform based on a laptop is connected to data collecting platform via Ethernet to send control commands and read status and collect information for subsequent analysis.
Fig.1 A partial discharge detection hardware system diagram System configuration Fig.2 The flowchart of software Software Architecture The system is based on Labview, mainly uses the productor-consumer loop structure which includes two modules: data acquisition and data processing.
They are connected by a data queue.
The flowchart is shown in Figure 2.Data collection platform can set sampling methods (continuous or pulse trigger),sampling duration, trigger levels, etc., and automatically start data acquisition according to the conditions of the external signal, then store data and wait for the call.
Then we record the position coordinates and acquire sensor data with data acquisition card on oscilloscopes.
Fig.1 A partial discharge detection hardware system diagram System configuration Fig.2 The flowchart of software Software Architecture The system is based on Labview, mainly uses the productor-consumer loop structure which includes two modules: data acquisition and data processing.
They are connected by a data queue.
The flowchart is shown in Figure 2.Data collection platform can set sampling methods (continuous or pulse trigger),sampling duration, trigger levels, etc., and automatically start data acquisition according to the conditions of the external signal, then store data and wait for the call.
Then we record the position coordinates and acquire sensor data with data acquisition card on oscilloscopes.