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Online since: May 2012
Authors: Li Xia Li, Ji Qiang Zhao, Xue Xi Tang
These data indicate that S. thunbergii lacks tolerance to relatively higher dose of UV-B stress, although GSH-related enzymes may play certain role against UV-B induced oxidative damage.
Previous data show that the activities of ROS scavenging enzymes in algae are tempted to increase when exposed to oxidative stress[3-5], suggesting that activities of typical antioxidant enzymes including SOD, POX and CAT are positively correlated with tolerance to oxidative stress in algae.
These data indicated that enzymes acting in algae are species-specific.
GST and GPx are multifunctional detoxification enzymes which catalyse GSH to oxidative ststus, while GR keeps GSH in reduction status.
Our data suggests that the variation of enzyme activity changes markedly at different times after treatments (Fig.1), thus continuous and dynamic changes of enzyme activities should be determined in order to reveal their unbiased response to UV-B.
Previous data show that the activities of ROS scavenging enzymes in algae are tempted to increase when exposed to oxidative stress[3-5], suggesting that activities of typical antioxidant enzymes including SOD, POX and CAT are positively correlated with tolerance to oxidative stress in algae.
These data indicated that enzymes acting in algae are species-specific.
GST and GPx are multifunctional detoxification enzymes which catalyse GSH to oxidative ststus, while GR keeps GSH in reduction status.
Our data suggests that the variation of enzyme activity changes markedly at different times after treatments (Fig.1), thus continuous and dynamic changes of enzyme activities should be determined in order to reveal their unbiased response to UV-B.
Online since: November 2011
Authors: Wei Jun Liu, Wei Ping Wang, Cong Bin Fan, Gang Liu
Besides, the electrochemcial switching property can be potential use for electrochemistry data storage.
Introduction Organic photochromic compounds have obtained considerable interest because of their potential applications to optical data storage, optical memory and switching devices [1-6].
The open and closed isomers of diarylethenes differ from each other not only in their absorption spectra but also in various physical and chemical properties such as refractive index [8,9], oxidation/reduction potentials [10-12] and chiral properties [13-15], among others.
The clear difference in oxidation processes between 1a and 1b and the observed reversibility upon UV/Vis irradiation suggests that the diarylethene derivative can be used as an electrochemical switch and electrochemistry data storage.
The results showed that it can be useful in molecular switch and potential use for data storage.
Introduction Organic photochromic compounds have obtained considerable interest because of their potential applications to optical data storage, optical memory and switching devices [1-6].
The open and closed isomers of diarylethenes differ from each other not only in their absorption spectra but also in various physical and chemical properties such as refractive index [8,9], oxidation/reduction potentials [10-12] and chiral properties [13-15], among others.
The clear difference in oxidation processes between 1a and 1b and the observed reversibility upon UV/Vis irradiation suggests that the diarylethene derivative can be used as an electrochemical switch and electrochemistry data storage.
The results showed that it can be useful in molecular switch and potential use for data storage.
Online since: October 2014
Authors: Vasile Manole, Ana Bădănac, Sorin Popa, Octavian Lupescu
The lubricant presence in the cutting area may contribute to the friction and thermal field values reduction, affecting the wear processes.
The coating layers can act as a chemical and thermal barrier between the tool and the workpiece, increasing the tool wear resistance, improving the chemical inertia of the cutting material, reducing the volume of the cutting edge deposition, decreasing the friction between tool and splinter, contributing in this way to the cutting forces reduction.The thin layers deposition using as environment of deployment of the deposition process, the vacuum, had a big ascension in the last period.
The data indicate getting the highest values of durability for the type SPUN 120412-B and SPUN 120312-B cutting inserts coated with titanium, case in which can be processed the highest volume of manufactured parts.
The coating layers can act as a chemical and thermal barrier between the tool and the workpiece, increasing the tool wear resistance, improving the chemical inertia of the cutting material, reducing the volume of the cutting edge deposition, decreasing the friction between tool and splinter, contributing in this way to the cutting forces reduction.The thin layers deposition using as environment of deployment of the deposition process, the vacuum, had a big ascension in the last period.
The data indicate getting the highest values of durability for the type SPUN 120412-B and SPUN 120312-B cutting inserts coated with titanium, case in which can be processed the highest volume of manufactured parts.
Online since: January 2022
Authors: Fan Zhang, Da Quan Li, Song Chen, Fan Zhang, Jian Feng, Xiao Kang Liang
Cost reduction. 2.
Some critical aspects need to be improved to make the rheo-diecast process more and more successful. (1) Cost reduction.
The production data online acquisition and monitoring, the development and application of intelligent manufacturing systems are necessary. (3) New rheo-diecast alloys development.
Some critical aspects need to be improved to make the rheo-diecast process more and more successful. (1) Cost reduction.
The production data online acquisition and monitoring, the development and application of intelligent manufacturing systems are necessary. (3) New rheo-diecast alloys development.
Online since: November 2016
Authors: Thierry Baudin, Anne Laure Helbert, François Brisset, Kévin Verstraete
Both Al alloys were first roll-bonded with a 50% reduction and the product was cut in half.
(a) (b) Fig. 1: Texture of initial (a) AA5754 and (b) AA6061 alloys The coinciding sheet surfaces of both aluminums were first degreased with acetone, brushed, then AA5754 was stacked over AA6061 with iron wires and finally rolled to 50% reduction.
The data were analyzed with the OIMTM software and pole figures were replaced in the rolling direction-transverse direction (RD-TD) plane.
(a) (b) Fig. 1: Texture of initial (a) AA5754 and (b) AA6061 alloys The coinciding sheet surfaces of both aluminums were first degreased with acetone, brushed, then AA5754 was stacked over AA6061 with iron wires and finally rolled to 50% reduction.
The data were analyzed with the OIMTM software and pole figures were replaced in the rolling direction-transverse direction (RD-TD) plane.
Online since: December 2006
Authors: Young Ze Lee, Sung Hoon Jeong, Joong Hui Lee, Jung Min Park
To investigate the transition, the fretting wear tester was contrived to
prevent the reduction of relative displacement between tube and support by increasing the load.
After the tests, the change in the wear scar of the tube was recorded by using surface profile meter and these data was used for estimating approximate wear volume.
19.1� 10-15m3/Nm 200 � 1.9� 10-15m3/Nm 7.4� 10-15m3/Nm 60 N 1.3� 10-15m3/Nm 19.6� 10-15m3/Nm 300 � - 16.4� 10-15m3/Nm A B C A B C A B A 0 20 40 60 80 Weight % A 9.48 1.48 25.84 14 41.68 B 4.04 0.8 27.57 12.4 55.19 O Si Cr Fe Ni 0 20 40 60 80 Weight % A 28.53 2.15 11.58 46.1 11.65 B 2.72 0.46 26.51 16.08 54.22 C 0 0.81 15.7 29.89 53.59 O Si Cr Fe Ni 0 20 40 60 80 Weight % A 2.13 0.99 24.34 16.71 55.82 B 24.09 1.54 12.35 50.1 11.92 C 26.54 0.83 10.81 45.15 9.45 O Si Cr Fe Ni 0 20 40 60 80 Weight % A 5.83 0.93 12.73 24.4 56.1 O Si Cr Fe Ni (a) 50 � (f) (e) (g) (h) (b) 100 � (c) 200 � (d) 300 � Fig. 3 SEM microscopic images and EDX analyses of worn tube surface by relative displacement at a load of 40 N Conclusions In this work, the fretting wear characteristics of the tube-support component were studied to investigate the transition between mild wear and severe wear and the effect of load increase without the reduction
After the tests, the change in the wear scar of the tube was recorded by using surface profile meter and these data was used for estimating approximate wear volume.
19.1� 10-15m3/Nm 200 � 1.9� 10-15m3/Nm 7.4� 10-15m3/Nm 60 N 1.3� 10-15m3/Nm 19.6� 10-15m3/Nm 300 � - 16.4� 10-15m3/Nm A B C A B C A B A 0 20 40 60 80 Weight % A 9.48 1.48 25.84 14 41.68 B 4.04 0.8 27.57 12.4 55.19 O Si Cr Fe Ni 0 20 40 60 80 Weight % A 28.53 2.15 11.58 46.1 11.65 B 2.72 0.46 26.51 16.08 54.22 C 0 0.81 15.7 29.89 53.59 O Si Cr Fe Ni 0 20 40 60 80 Weight % A 2.13 0.99 24.34 16.71 55.82 B 24.09 1.54 12.35 50.1 11.92 C 26.54 0.83 10.81 45.15 9.45 O Si Cr Fe Ni 0 20 40 60 80 Weight % A 5.83 0.93 12.73 24.4 56.1 O Si Cr Fe Ni (a) 50 � (f) (e) (g) (h) (b) 100 � (c) 200 � (d) 300 � Fig. 3 SEM microscopic images and EDX analyses of worn tube surface by relative displacement at a load of 40 N Conclusions In this work, the fretting wear characteristics of the tube-support component were studied to investigate the transition between mild wear and severe wear and the effect of load increase without the reduction
Online since: December 2008
Authors: Roberto Bez, Emilio Camerlenghi, Agostino Pirovano
The most typical application for non-volatile memories has
traditionally been program codes for microcontrollers, parameters for DSP's, boot for systems with
other type of mass storage media, data and parameters for security codes, trimming of analog
functions, end-user programmable data, system self-diagnostic, etc [7].
As a consequence of their different cost/performance trade-offs, EPROM have been mostly used for code storage while EEPROM have been used to store parameters and user's data.
In this approach, the process simplicity is balanced with a heavily stressed CMOS and the data-storage long endurance concern translated into MOSFET reliability.
The integration of the data-storage occurs between the front-end and the back-end of the CMOS process.
Hence the development efforts are mainly focus on the optimization of the data-storage structure with respect to the reset current.
As a consequence of their different cost/performance trade-offs, EPROM have been mostly used for code storage while EEPROM have been used to store parameters and user's data.
In this approach, the process simplicity is balanced with a heavily stressed CMOS and the data-storage long endurance concern translated into MOSFET reliability.
The integration of the data-storage occurs between the front-end and the back-end of the CMOS process.
Hence the development efforts are mainly focus on the optimization of the data-storage structure with respect to the reset current.
Online since: January 2014
Authors: F.K. Cui, G.P. Yan, H. Liu, Y.X. Li, X.Q. Wang
For revealing the forming mechanism in micro level and for establishing the relationship between macroscopic deformation and microscopic changes, impact experiment of material property is conducted under the high speed cold roll-beating condition based on the plastic deformation mechanism of metal material, Based on the Zener-Hollomon constitutive relation, the macro change model is established, and the parameters of the 40 Cr are obtained according to the experimental data.
So in the whole deformation process, the relationship between the change of dislocation density and macroeconomic factors [12-14] is: (5) (6) In formula (6), r is dislocation density (cm-2), is strain, is strain rate (s-1), T is Thermodynamic temperature (K), da refers to dislocation increase while ds is dislocation reduction.
The reduction of dislocation is related with the absolute value of dislocation density, the varying relationship[16] between dislocation density and strain is: (9) In formula (9), K3 is the softening factor of material.
What’s more, there are inevitable errors among the process of the setting of experiment condition, the note of the experimental data, the choice of peak stress and material parameters, which leads to the tolerance of model.
So in the whole deformation process, the relationship between the change of dislocation density and macroeconomic factors [12-14] is: (5) (6) In formula (6), r is dislocation density (cm-2), is strain, is strain rate (s-1), T is Thermodynamic temperature (K), da refers to dislocation increase while ds is dislocation reduction.
The reduction of dislocation is related with the absolute value of dislocation density, the varying relationship[16] between dislocation density and strain is: (9) In formula (9), K3 is the softening factor of material.
What’s more, there are inevitable errors among the process of the setting of experiment condition, the note of the experimental data, the choice of peak stress and material parameters, which leads to the tolerance of model.
Online since: June 2006
Authors: Mohamad Kamal Harun, Stuart B. Lyon, M.Z.A. Yahya, S.N.A.S. Ismail
The
results indicated that using 3-APS as surface pre-treatment prior to coating resulted in a significant
reduction of total water absorption for alkyd on both mild steel and glass substrate.
These data are consistent with the known adsorption behaviour of 3-APS to steel, i.e. as an easily hydrolysed hydrogen-bond to the amine group, rather than as the more stable metal-oxide-silicon bond.
Thus each data point is represented by an average of thirty cross-cut test obtained from five panels.
These data are consistent with the known adsorption behaviour of 3-APS to steel, i.e. as an easily hydrolysed hydrogen-bond to the amine group, rather than as the more stable metal-oxide-silicon bond.
Thus each data point is represented by an average of thirty cross-cut test obtained from five panels.
Study on the Land Use/Cover Changes of Mangrove Reserve of Shenzhen Bay Based on Remote Sensing Date
Online since: June 2014
Authors: Qing Chuan Chou, Rui Li Li, Jun Liu, Xiu Hua Shi, Hua Lin Xu
/cover and got the area data of different land use types.
Data sources and preprocessing This study used remote sensing data that covered five different times ( 1986, 1993, 2000, 2008 and 2012).
The image data ofe 1986 (July 30), 1993 (September 3) and 2000 (September 3) are obtained from used Landsat-5 TM image; The ture color Quickbird and WorldView image are used as the analyses data in 2008 (February 20) and 2012 (January 17), respectively..
Before being classified, source data of the five time nodes were first preprocessed to minimize errors in the following process[26].
Firstly, respectively use ENVI4,the remote sensing data processing software, to preprocess the remote sensing data of five periods, including image mosaic, geometric correction, data registration, clearing system errors and other data preprocessing[20]; Secondly, use the topographic map(1:15,000), administrative district planning map and other basic maps, corresponding with the reserve, to classify the land use type of various periods remote sensing date according to the classification standard in Table 1 through visual interpretation[27]; Finally, use the MAPGIS system to extract the characteristics of land use/cover in different times, get the area data of different land use types (Table 2).
Data sources and preprocessing This study used remote sensing data that covered five different times ( 1986, 1993, 2000, 2008 and 2012).
The image data ofe 1986 (July 30), 1993 (September 3) and 2000 (September 3) are obtained from used Landsat-5 TM image; The ture color Quickbird and WorldView image are used as the analyses data in 2008 (February 20) and 2012 (January 17), respectively..
Before being classified, source data of the five time nodes were first preprocessed to minimize errors in the following process[26].
Firstly, respectively use ENVI4,the remote sensing data processing software, to preprocess the remote sensing data of five periods, including image mosaic, geometric correction, data registration, clearing system errors and other data preprocessing[20]; Secondly, use the topographic map(1:15,000), administrative district planning map and other basic maps, corresponding with the reserve, to classify the land use type of various periods remote sensing date according to the classification standard in Table 1 through visual interpretation[27]; Finally, use the MAPGIS system to extract the characteristics of land use/cover in different times, get the area data of different land use types (Table 2).