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Online since: July 2015
Authors: Gennady Ovsyannikov, Alexander Sheyerman, Yulii Kislinskii, Karen Constantinian, Anton Shadrin
Analyzing data obtained for a few tens values of critical current density jC=IC/L2 of mesa-heterostructers with different dSRO and dLSMO thicknesses a distribution of jC on dSRO – dLSMO plane was obtained, shown in Fig.2.
It is seen that as dSRO and dLSMO thicknesses approach the coherence lengths of ferromagnets, the jC data demonstrate a maximum.
Data present critical current and Shapiro steps vs. normalized RF current x = IRF/wIC, where w = hfe/2eICRN is normalized frequency (h is a Planck’s constant, e – electron charge, RN – normal resistance.
Microwave measurements also confirm absence of pinholes in experimental samples because the presence of pinholes would result in a significant reduction of Shapiro steps heights from the ones expected in resistively shunted junction model.
It is seen that as dSRO and dLSMO thicknesses approach the coherence lengths of ferromagnets, the jC data demonstrate a maximum.
Data present critical current and Shapiro steps vs. normalized RF current x = IRF/wIC, where w = hfe/2eICRN is normalized frequency (h is a Planck’s constant, e – electron charge, RN – normal resistance.
Microwave measurements also confirm absence of pinholes in experimental samples because the presence of pinholes would result in a significant reduction of Shapiro steps heights from the ones expected in resistively shunted junction model.
Online since: May 2016
Authors: Takayoshi Shimura, Takuji Hosoi, Takashi Nakamura, Masatoshi Aketa, Heiji Watanabe, Shigetoshi Hosaka, Yusaku Kashiwagi, Kenji Yamamoto, Hirokazu Asahara, Shuji Azumo
We have previously proposed a stacked gate insulator consisting of thick AlON layer and thin SiO2 underlayer and demonstrated a significant reduction in gate leakage [1].
The data for the capacitor with SiO2 single (49.1 nm) dielectrics was also shown (black line).
The data for AlON/SiO2 capacitors with the same AlON thickness (blue, green, and red open symbols) were also well fit by linear line with an identical slope, indicating the positive charge with an areal density of 1.2´1012 cm-2 at SiO2/SiC interface, which is comparable to that estimated for the capacitor with SiO2 single dielectrics.
The data plot in Fig. 2 (open circles, triangles, and squares) are all well fitted by assuming the positive charges of 1.2´1012 cm-2 at SiO2/SiC interface, the negative charges of 1.1´1012 cm-2 at AlON/SiO2 interface, and AlON dielectric constant of 8.0 (Fig. 3).
The data for the capacitor with SiO2 single (49.1 nm) dielectrics was also shown (black line).
The data for AlON/SiO2 capacitors with the same AlON thickness (blue, green, and red open symbols) were also well fit by linear line with an identical slope, indicating the positive charge with an areal density of 1.2´1012 cm-2 at SiO2/SiC interface, which is comparable to that estimated for the capacitor with SiO2 single dielectrics.
The data plot in Fig. 2 (open circles, triangles, and squares) are all well fitted by assuming the positive charges of 1.2´1012 cm-2 at SiO2/SiC interface, the negative charges of 1.1´1012 cm-2 at AlON/SiO2 interface, and AlON dielectric constant of 8.0 (Fig. 3).
Online since: July 2007
Authors: Ding Ding Guo, Ji Hye Seo, Hong Gu Lee, Chong Su Cho, Yun Jaie Choi, Hyun Seuk Moon
These are increased
circulation time in body and stability, improved biocompatibility and solubility, decreased
cytotoxicity and degradation by metabolic enzymes reduction or elimination of protein
immunogenicity [3-5].
Our data, together with these early studies, suggest that PCLA can have good ability to increase body circulation time.
Supporting for our cell viability data, we also checked morphological changes of the MCF-7 breast cancer cells by phase contrast microscope.
Morphologies of MCF-7 breast cancer cells against concentration of CLA after treatment with CLA and PCLA. 0 20 40 60 80 100 120 0 25 50 75 100 150 200 300 Concentration (uM) Cel l Vi abi l i t y ( % of Control) PEG CLA PCLA Half-life o f P CLA 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0 121824303642485460 Time( hr) ABSAs in the results for the cell viability data, both CLA and PCLA promoted apoptosis with increasing concentrations although proliferation of MCF-7 breast cancer cells was clearly detected in control group, as shown in Fig.5.
Our data, together with these early studies, suggest that PCLA can have good ability to increase body circulation time.
Supporting for our cell viability data, we also checked morphological changes of the MCF-7 breast cancer cells by phase contrast microscope.
Morphologies of MCF-7 breast cancer cells against concentration of CLA after treatment with CLA and PCLA. 0 20 40 60 80 100 120 0 25 50 75 100 150 200 300 Concentration (uM) Cel l Vi abi l i t y ( % of Control) PEG CLA PCLA Half-life o f P CLA 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5 0 121824303642485460 Time( hr) ABSAs in the results for the cell viability data, both CLA and PCLA promoted apoptosis with increasing concentrations although proliferation of MCF-7 breast cancer cells was clearly detected in control group, as shown in Fig.5.
Online since: March 2006
Authors: Jeong Yi Yoo, Seong Soo Park, Gun Dae Lee, Se Mo Son, Ji Un Im, Chan Yong Yu
It is well known that
microwave irradiations lead to large reduction in reaction time, enhancement of yield, and high
selectivity of reaction due to the non-thermal effect of microwaves [5].
Relevant characterization data were given in Table 1 and 2.
The analytical data of bisdithiobenzil nickel complexes Analysis Found (%) Analysis Calculation (%) Samples Formula C H S C H S 5a C28H20NiS4 61.38 3.51 22.87 61.89 3.71 23.60 5b C30H24NiO2S4 60.20 3.98 20.82 59.71 4.01 21.25 5c C32H28NiO4S4 57.73 4.52 19.01 57.92 4.25 19.33 Results and Discussion Table 2 shows the yield of bisdithiobenzil nickel complex dyes 5a-c synthesized at different reaction time and different amount of solvent for 3 h by the conventional thermal and microwave heating.
The yield of bisdithiobenzil nickel complexes synthesized by conventional thermal and microwave method Reaction condition Yield (%) Method Time (h) Amount of solvent (ml) 5a 5b 5c 0.5 50 5.5 25.3 38.0 Conventional 2.0 50 65.0 70.0 73.0 0.5 9 7.7 50.7 58.5 Microwave 0.5 50 4.1 25.9 48.5 Mellting point and visible absorption data for the bisdithiobenzil nickel complex dyes 5a-c are summarized in Table 3 and Fig. 1.
Relevant characterization data were given in Table 1 and 2.
The analytical data of bisdithiobenzil nickel complexes Analysis Found (%) Analysis Calculation (%) Samples Formula C H S C H S 5a C28H20NiS4 61.38 3.51 22.87 61.89 3.71 23.60 5b C30H24NiO2S4 60.20 3.98 20.82 59.71 4.01 21.25 5c C32H28NiO4S4 57.73 4.52 19.01 57.92 4.25 19.33 Results and Discussion Table 2 shows the yield of bisdithiobenzil nickel complex dyes 5a-c synthesized at different reaction time and different amount of solvent for 3 h by the conventional thermal and microwave heating.
The yield of bisdithiobenzil nickel complexes synthesized by conventional thermal and microwave method Reaction condition Yield (%) Method Time (h) Amount of solvent (ml) 5a 5b 5c 0.5 50 5.5 25.3 38.0 Conventional 2.0 50 65.0 70.0 73.0 0.5 9 7.7 50.7 58.5 Microwave 0.5 50 4.1 25.9 48.5 Mellting point and visible absorption data for the bisdithiobenzil nickel complex dyes 5a-c are summarized in Table 3 and Fig. 1.
Online since: September 2013
Authors: Lai Hong Shen, Fei Feng, Guo Hui Song
Introduction
Biomass gasification is considered a key technology in reaching targets for renewable energy and CO2 emissions reduction [1], and the biomass-to-SNG technology is one of the most important applications of biomass energy.
In this paper, simulation of the Biomass-to-SNG process based on gasification technology via pressurized interconnected fluidized beds was carried out with Aspen Plus software, which would provide theoretic referencing data for the further experimental researches.
Simulating condition and input data The biomass sample was the rice straw from Jiangsu, China.
Table 1 Input data for process simulation Parameters Value Room temperature 20 oC Biomass flow rate of gasifier 7 kg/h Air inlet temperature 20 oC Excess air coefficient of combustor 1.5 Flue gas outlet temperature of combustor 150 oC Combustor temperature 750 – 1050 oC Gasifier temperature 650 – 950 oC Feed water inlet temperature 20 oC Methanation temperature 300 oC Methanation pressure 0.3 MPa Results and discussions The crude methane mixture from the methanation reactor was mainly composed of CH4, CO2, and little H2 and CO.
In this paper, simulation of the Biomass-to-SNG process based on gasification technology via pressurized interconnected fluidized beds was carried out with Aspen Plus software, which would provide theoretic referencing data for the further experimental researches.
Simulating condition and input data The biomass sample was the rice straw from Jiangsu, China.
Table 1 Input data for process simulation Parameters Value Room temperature 20 oC Biomass flow rate of gasifier 7 kg/h Air inlet temperature 20 oC Excess air coefficient of combustor 1.5 Flue gas outlet temperature of combustor 150 oC Combustor temperature 750 – 1050 oC Gasifier temperature 650 – 950 oC Feed water inlet temperature 20 oC Methanation temperature 300 oC Methanation pressure 0.3 MPa Results and discussions The crude methane mixture from the methanation reactor was mainly composed of CH4, CO2, and little H2 and CO.
Online since: December 2013
Authors: Yong Zhou, Fu De Liu, Li Jie Duan, Bo Yang Qu
Results and Discussion
3.1 Optical properties
The UV-visible spectrum of poly (3-bromothiophene) in DMF solution was shown in Figure 1. and the data are summarized in Table1.
The profile of cyclic voltammetry (CV) was shown in figure 4.The HOMO and LUMO energy levels (EHOMO and ELUMO, respectively) and electrochemical band gap of poly (3-bromothiophene) was calculated by use of the following empirical formulas [12], EHOMO = - (Eox + 4.40) eV, ELUMO = - (Ere + 4.40) eV, = ELUMO- EHOMO, where Eox and Ere are the onset of oxidation and reduction potentials, respectively.The value of Eox and Ere are 0.74 eV and -1.21eV respectively.Figure 4 shows the cyclic voltammograms of the synthesized poly (3-bromothiophene) and the derived CV data (EHOMO, ELUMO) are summarized in Table 1.
Optical and Electrochemical Data of poly (3-bromothiophene) UV-vis Fluorescene Photoluminescence Cyclic voltammetry λmax(nm) λonset(nm) (eV) λmax (nm) λmax (nm) EHOMO(eV) ELUMO(eV) (eV) 380 520 2.38 504 658 -5.18 -3.19 1.99 3.3 morphology and conductivity The scanning electron microscope (SEM) of poly (3-bromothiophene) was shown in figure 5.
The profile of cyclic voltammetry (CV) was shown in figure 4.The HOMO and LUMO energy levels (EHOMO and ELUMO, respectively) and electrochemical band gap of poly (3-bromothiophene) was calculated by use of the following empirical formulas [12], EHOMO = - (Eox + 4.40) eV, ELUMO = - (Ere + 4.40) eV, = ELUMO- EHOMO, where Eox and Ere are the onset of oxidation and reduction potentials, respectively.The value of Eox and Ere are 0.74 eV and -1.21eV respectively.Figure 4 shows the cyclic voltammograms of the synthesized poly (3-bromothiophene) and the derived CV data (EHOMO, ELUMO) are summarized in Table 1.
Optical and Electrochemical Data of poly (3-bromothiophene) UV-vis Fluorescene Photoluminescence Cyclic voltammetry λmax(nm) λonset(nm) (eV) λmax (nm) λmax (nm) EHOMO(eV) ELUMO(eV) (eV) 380 520 2.38 504 658 -5.18 -3.19 1.99 3.3 morphology and conductivity The scanning electron microscope (SEM) of poly (3-bromothiophene) was shown in figure 5.
Online since: June 2015
Authors: Bernd Thomas, Jie Zhang, Darren Hansen, Victor M. Torres, Kevin Moeggenborg
The increase of wafer size from 100mm to 150mm is an important milestone for cost reduction, as the usable area will more than double.
Every data point represents a wafer.
Every data point represents an epi wafer.
Every data point represents an epi wafer.
Every data point represents a wafer.
Every data point represents an epi wafer.
Every data point represents an epi wafer.
Online since: June 2011
Authors: Wei Xin Yao
These abnormal fault bring on the reduction of production capacity.
Description the Problem about Lamp Assembling Line Operation time is the basic data for calculating line balance rate and prerequisites for find out the bottleneck workstation.
We can calculate the line balancing rate and balancing loss from the collected data in table 1.
The data of table 1 indicates that the main reason of leading to a low line balancing rate of production line is that operation time of the bottleneck workstation is different from operation time of other workstations greatly.
Description the Problem about Lamp Assembling Line Operation time is the basic data for calculating line balance rate and prerequisites for find out the bottleneck workstation.
We can calculate the line balancing rate and balancing loss from the collected data in table 1.
The data of table 1 indicates that the main reason of leading to a low line balancing rate of production line is that operation time of the bottleneck workstation is different from operation time of other workstations greatly.
Online since: January 2010
Authors: Esther García-Tuñón, Jaime Franco, Bruno Dacuña, G. Zaragoza, Francisco Guitián
SXRD data were analyzed for the
description of the chlorapatite structure.
The single crystal data were collected with a diffractometer BRUKER APPEX-II CCD using as a radiation source Mo_Kα λ = 0.7107 Å, the refinement of the unit cell and the data reduction was performed with the APPEX2 software (Bruker (2007).
Data from eight different whiskers with two types of morphologies (needle and prism) were taken.
Black points are the data collected, and the red line show the experimental adjust.
Fig. 2.a shows the X-ray powder diffraction data evolution.
The single crystal data were collected with a diffractometer BRUKER APPEX-II CCD using as a radiation source Mo_Kα λ = 0.7107 Å, the refinement of the unit cell and the data reduction was performed with the APPEX2 software (Bruker (2007).
Data from eight different whiskers with two types of morphologies (needle and prism) were taken.
Black points are the data collected, and the red line show the experimental adjust.
Fig. 2.a shows the X-ray powder diffraction data evolution.
Online since: October 2025
Authors: Fikan Mubarok Rohimsyah, Rifqi Aulia Tanjung, Muhammad Alwi Foury
Data Collection and Pre-processing.
Data collection distribution of Al-based sacrificial anode.
Breakdown of Data Allocations for Validation and Training.
Data Type Number of Entries Percentage of Total Data [%] Validation Data 50 20 Training Data 200 80 Total Data 250 100 2.
Data Normalization: To enhance model reliability and data consistency, it was pivotal to bring all data points within a uniform scale.
Data collection distribution of Al-based sacrificial anode.
Breakdown of Data Allocations for Validation and Training.
Data Type Number of Entries Percentage of Total Data [%] Validation Data 50 20 Training Data 200 80 Total Data 250 100 2.
Data Normalization: To enhance model reliability and data consistency, it was pivotal to bring all data points within a uniform scale.