Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: January 2015
Authors: Vladimir Chernov, Roman Zelchan, Tatiana Kravchuk, Dmitriy Podoplekin, Victor Goldberg
After administration of doxorubicin 40% of patients had a significant reduction in LVEF.
Statistical processing of the obtained data was performed using the STATISTICA software package.
After the administration of doxorubicin, in addition to a reduction in the ejection fraction from 65.5+9.8 to 61.8+7.2 (р<0.05) in the control group, there was a significant increase in the end-systolic volume of the left ventricle (from 30.8 ± 16.7 ml and 34.2 ± 17.0 ml, p <0.05), and the reduction in the maximum expulsion rate (3.2 ± 0.8 with EDV/s to 2.4 ± 0.5 EDV/s, p <0.05), which indicates the appearance of systolic cardiac dysfunction.
Individual analysis of the ECG-PSM data showed that there was a significant (10% or more from the original) decrease in left ventricular ejection fraction in 10 of 32 patients (31%) in response to doxorubicin in the dose of 50 mg/m2 after prophylactic application of trimethylhydrasine propionate, which is 22.5% less than in the control group.
The insufficiently frequent use of dexrazoxane may be related to the published data about its negative impact on the antitumor activity of anthracycline antibiotics [6].
Statistical processing of the obtained data was performed using the STATISTICA software package.
After the administration of doxorubicin, in addition to a reduction in the ejection fraction from 65.5+9.8 to 61.8+7.2 (р<0.05) in the control group, there was a significant increase in the end-systolic volume of the left ventricle (from 30.8 ± 16.7 ml and 34.2 ± 17.0 ml, p <0.05), and the reduction in the maximum expulsion rate (3.2 ± 0.8 with EDV/s to 2.4 ± 0.5 EDV/s, p <0.05), which indicates the appearance of systolic cardiac dysfunction.
Individual analysis of the ECG-PSM data showed that there was a significant (10% or more from the original) decrease in left ventricular ejection fraction in 10 of 32 patients (31%) in response to doxorubicin in the dose of 50 mg/m2 after prophylactic application of trimethylhydrasine propionate, which is 22.5% less than in the control group.
The insufficiently frequent use of dexrazoxane may be related to the published data about its negative impact on the antitumor activity of anthracycline antibiotics [6].
Online since: October 2011
Authors: Xiao Hua Zhang, Xing Ying Chen, Jin Quan Zhao
Unit Commitment Incorporating Wind Generators Considering Emission Reduction
ZHANG Xiao Hua 1, a, ZHAO Jin Quan 2,b and CHEN Xing Ying 2,c
1School of Information Science & Engineering, Changzhou University, Changzhou, 213164,China
2 College of Energy & Electrical Engineering, Hohai University, Nanjing 210098, China
axhzhangcz@cczu.edu.cn, b jqzhao2@tom.com, cxychen@hhu.edu.cn
Keywords: unit commitment, wind generators, fuzzy modeling, IGA.
The energy saving and emission reduction is of most importance.
The traditional method to solve the unit commitment(UC) problem of wind power needs to know the output data of wind farms.
As the candidate individual, the fitness function is expressed as: (14) Numerical Example For Considering Emission Reduction In this paper, 10-unit 24-period system[12] and the wind generators[9] are adopted.
The energy saving and emission reduction is of most importance.
The traditional method to solve the unit commitment(UC) problem of wind power needs to know the output data of wind farms.
As the candidate individual, the fitness function is expressed as: (14) Numerical Example For Considering Emission Reduction In this paper, 10-unit 24-period system[12] and the wind generators[9] are adopted.
Online since: August 2011
Authors: Qing Sheng Liu, Hai Feng Tang, Hui Fang
Simultaneously, the viscous coefficents denoting the viscous behavior in visco-elastic constitutive model were determined by taking use of the creep testing data.
The carbon cathode is the most critical component in aluminum reduction cells, that is to guarantee the structural integrity and safe operation of aluminum reduction cells has a crucial Significance[2,3].
Combined with the data of sodium expansion that have been investigated extensively [13], the creep behavior can provide key information in cathode material selection and cathode structure design for prolanged cell service life [14].
The measured data are fitted into Eq.(3) in the Matlab software.
The viscous coefficients denoting the viscous propeties in viscoelastic constitutive mdoel are determined by using the creep test data, and fitting creep curves of carbon cathode is compared and analyzed, which shows that the proposed rheological model can discribe the creep rate at the first stage and the stady-state stage on the creep strain curves.
The carbon cathode is the most critical component in aluminum reduction cells, that is to guarantee the structural integrity and safe operation of aluminum reduction cells has a crucial Significance[2,3].
Combined with the data of sodium expansion that have been investigated extensively [13], the creep behavior can provide key information in cathode material selection and cathode structure design for prolanged cell service life [14].
The measured data are fitted into Eq.(3) in the Matlab software.
The viscous coefficients denoting the viscous propeties in viscoelastic constitutive mdoel are determined by using the creep test data, and fitting creep curves of carbon cathode is compared and analyzed, which shows that the proposed rheological model can discribe the creep rate at the first stage and the stady-state stage on the creep strain curves.
Online since: May 2014
Authors: Jing Wang, Huan Wang, Zhen Duo Wang
Introduction
Data quantization is one of the preprocessing techniques used frequently in data mining, machine learning and knowledge discovery [1].
Formally, given a data set .
Step one: Compute the level of consistency according to [3]; Implementation of PCA and MLE on input data; Normalize each continuous dimension to [0,1]; Mean-centralize each dimension and compute covariance matrix of data set X; Projected data set Perform PCA algorithm with the ID on the input data set.
A summary of data sets can be found in Table 2.
This can be attributed to information loss owing to dimension reduction and the weak correlation structure in ‘Glass’.
Formally, given a data set .
Step one: Compute the level of consistency according to [3]; Implementation of PCA and MLE on input data; Normalize each continuous dimension to [0,1]; Mean-centralize each dimension and compute covariance matrix of data set X; Projected data set Perform PCA algorithm with the ID on the input data set.
A summary of data sets can be found in Table 2.
This can be attributed to information loss owing to dimension reduction and the weak correlation structure in ‘Glass’.
Online since: September 2013
Authors: A.K.M. Nurul Amin, Khairus Syakirah B. Mahmud, Abdul Hakam B. Ibrahim, Mohd Firdaus B. Zawani, Amir Faris B. Abdul Malik, Muammer Din Arif, Noor Hawa B. Mohamad Rasdi
The first process used vibration amplitude reduction with increment in temperature to identify the desired temperature.
The data acquisition system comprised an accelerometer (Kistler 50g), for vibration data acquisition; a Dewetron module, for signal conditioning; and a National Instruments DAQ card (model: PCI-6023E), for interfacing with the Dell workstation.
Fig. 2: Photograph of the experimental setup Results and Discussions Vibration Amplitude Reduction.
The results obtained were plotted to understand the effect of the work-piece temperature on chatter amplitude reduction.
It was noticed that the highest reduction in amplitude was at 450ºC for both frequency ranges as shown in Fig. 3, below.
The data acquisition system comprised an accelerometer (Kistler 50g), for vibration data acquisition; a Dewetron module, for signal conditioning; and a National Instruments DAQ card (model: PCI-6023E), for interfacing with the Dell workstation.
Fig. 2: Photograph of the experimental setup Results and Discussions Vibration Amplitude Reduction.
The results obtained were plotted to understand the effect of the work-piece temperature on chatter amplitude reduction.
It was noticed that the highest reduction in amplitude was at 450ºC for both frequency ranges as shown in Fig. 3, below.
Online since: September 2013
Authors: Wen Hua Wu, Zhi Jian Wang, Ji Bo Liu
Table 3 Crystallization rate of the leaching solution
As
Te
Sb
Bi
Cu
Composition of filtrate (g/L)
16.5
1.83
55.08
29.24
4.32
Composition of precipitate (%)
28.69
0.094
0.76
0.75
0.64
Crystallization rate (%)
43.68
1.23
0.47
0.97
5.18
The data shows that more than 43% of arsenic is crystallized in the form of arsenate, with other valuable metals left in the solution.
Table 4 displays the reduction rate of Te.
Table 6 shows the reduction rate of metals.
Table 6 Reduction rate of the solution after hydrolysis (%) As Bi Cu Composition of filtrate (g/L) 0.06 0.2 0.052 Reduction rate (%) 99.23 98.55 97.45 By the effect of iron powder, As, Bi and Cu are totally reduced and enter into reducing slag with reduction rates more than 97%.
Moreover, the solution after reduction can be recycled.
Table 4 displays the reduction rate of Te.
Table 6 shows the reduction rate of metals.
Table 6 Reduction rate of the solution after hydrolysis (%) As Bi Cu Composition of filtrate (g/L) 0.06 0.2 0.052 Reduction rate (%) 99.23 98.55 97.45 By the effect of iron powder, As, Bi and Cu are totally reduced and enter into reducing slag with reduction rates more than 97%.
Moreover, the solution after reduction can be recycled.
Online since: July 2014
Authors: Huai En Li, Na Deng, Yang Zhou
VFSMOD model have been tested with field data from Iowa regions [2], Canada [3], Midwest of USA [4], and Germany [5].
The applicability and performance ability of this coupling model would be tested based on plot experiment data from 2009 to 2012 year, and experimental method and results consult literature [8, 9].
As shown in Fig.1, sediments simulated values were less than measured values in addition to the individual data by VFSMOD.
Results and Analysis Using coupling model, the reduction rate of sediments concentration had been computed under different widths and slopes of VFS, as shown in table 1.
When the widths of grassed filter strips exceed 10 m, there were not obvious changes for concentration reduction rates, and this is in line with the experiment conclusions.
The applicability and performance ability of this coupling model would be tested based on plot experiment data from 2009 to 2012 year, and experimental method and results consult literature [8, 9].
As shown in Fig.1, sediments simulated values were less than measured values in addition to the individual data by VFSMOD.
Results and Analysis Using coupling model, the reduction rate of sediments concentration had been computed under different widths and slopes of VFS, as shown in table 1.
When the widths of grassed filter strips exceed 10 m, there were not obvious changes for concentration reduction rates, and this is in line with the experiment conclusions.
Online since: July 2012
Authors: Jie Bai, Chun Ping Li, Hui Jie Duan, Tong Xu
In the experiment, electrospinning method, soaking and adsorption method, together with reduction method were used to achieve the aim of coating.
The electrospinning process was performed at 20˚C. 2.4 The adsorption and reduction of copper nitrate molecule The previously prepared composite nanofiber mat was put into 100 ml 0.2 mol/L copper nitrate water solution and left for 12 or 24 hours.
The original colour of the mat turned to brown immediately, indicating the reduction of the Cu2+ irons.
XRD data was collected on a Philips X’Pert diffractometer using Cu Kαradiation(λ=1.5418).
The measurements were made in reflection geometry, and the 2θdiffraction (Bragg) angles were scanned at a step of 0.02.Each data point was measured for at least 12s, and several scans were taken of the sample.
The electrospinning process was performed at 20˚C. 2.4 The adsorption and reduction of copper nitrate molecule The previously prepared composite nanofiber mat was put into 100 ml 0.2 mol/L copper nitrate water solution and left for 12 or 24 hours.
The original colour of the mat turned to brown immediately, indicating the reduction of the Cu2+ irons.
XRD data was collected on a Philips X’Pert diffractometer using Cu Kαradiation(λ=1.5418).
The measurements were made in reflection geometry, and the 2θdiffraction (Bragg) angles were scanned at a step of 0.02.Each data point was measured for at least 12s, and several scans were taken of the sample.
Online since: April 2010
Authors: Kevin Matocha, Greg Dunne, Kuang Sheng, Liang Chun Yu, Kin P. Cheung, John S. Suehle
Low field data at 6 MV/cm suggest a
lifetime of half a year.
Data measured at 375 °C is also plotted for comparison.
Our data measured at 375 °C is plotted for comparison.
Singh et al. projected a reduction by 1.5× based on the reduction of band offset.
This is where the data get confusing.
Data measured at 375 °C is also plotted for comparison.
Our data measured at 375 °C is plotted for comparison.
Singh et al. projected a reduction by 1.5× based on the reduction of band offset.
This is where the data get confusing.
Online since: October 2009
Authors: Paul Koltun, John F. Grandfield, Ambavalavanar Tharumarajah
Liquid metal is delivered from the reduction cells to the furnaces.
Assumptions To conduct the study, some simplifications have been made due to availability of data and the complexity of processes itself.
See [8] for typical data. 5.
Most of the data for cast house operations, materials production, energy and water consumptions have been obtained from published data and directly from cast houses.
Limitations and Variations The analysis is based on indicative data from the industry and knowledge of typical practice.
Assumptions To conduct the study, some simplifications have been made due to availability of data and the complexity of processes itself.
See [8] for typical data. 5.
Most of the data for cast house operations, materials production, energy and water consumptions have been obtained from published data and directly from cast houses.
Limitations and Variations The analysis is based on indicative data from the industry and knowledge of typical practice.