The Experts below are selected from a list of 77079 Experts worldwide ranked by ideXlab platform
Dipak Ghosh - One of the best experts on this subject based on the ideXlab platform.
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visibility graph analysis of heart rate time series and bio marker of congestive heart failure
Physica A-statistical Mechanics and Its Applications, 2017Co-Authors: Anirban Bhaduri, Susmita Bhaduri, Dipak GhoshAbstract:Abstract Study of RR interval time series for Congestive Heart Failure had been an area of study with different methods including non-linear methods. In this article the cardiac dynamics of heart beat are explored in the light of complex network analysis, viz. visibility graph method. Heart beat (RR Interval) time series data taken from Physionet database [46, 47] belonging to two groups of subjects, diseased (congestive heart failure) ( 29 in number) and normal ( 54 in number) are analyzed with the technique. The overall results show that a Quantitative Parameter can significantly differentiate between the diseased subjects and the normal subjects as well as different stages of the disease. Further, the data when split into periods of around 1 hour each and analyzed separately, also shows the same consistent differences. This Quantitative Parameter obtained using the visibility graph analysis thereby can be used as a potential bio-marker as well as a subsequent alarm generation mechanism for predicting the onset of Congestive Heart Failure.
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study of void probability scaling of singly charged particles produced in ultrarelativistic nuclear collision in fractal scenario
Advances in High Energy Physics, 2016Co-Authors: Susmita Bhaduri, Dipak GhoshAbstract:We study the fractality of void probability distribution measured in -Ag/Br interaction at an incident energy of 200 GeV per nucleon. A radically different and rigorous method called Visibility Graph analysis is used. This method is shown to reveal a strong scaling character of void probability distribution in all pseudorapidity regions. The scaling exponent, called the Power of the Scale-Freeness in Visibility Graph (PSVG), a Quantitative Parameter related to Hurst exponent, is strongly found to be dependent on the rapidity window size.
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study of void probability scaling of singly charged particles produced in ultrarelativistic nuclear collision in fractal scenario
arXiv: Data Analysis Statistics and Probability, 2016Co-Authors: Susmita Bhaduri, Dipak GhoshAbstract:In this paper, we study the fractality of void probability distribution measured in $^{32}$S-Ag/Br interaction at an incident energy of $200$ GeV per nucleon. A radically different and rigorous method called \textit{Visibility Graph} analysis is used. This method is shown to reveal a strong scaling character of void probability distribution in all pseurorapidity regions. The scaling exponent, called the Power of the Scale-freeness in Visibility Graph(PSVG), a Quantitative Parameter related to Hurst exponent, is strongly found to be dependent on the rapidity window size.
Shulin Zhao - One of the best experts on this subject based on the ideXlab platform.
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determination of terbutaline sulfate by capillary electrophoresis with chemiluminescence detection
Journal of Chromatography B, 2009Co-Authors: Shuting Li, Janshi Wang, Shulin ZhaoAbstract:Abstract A novel capillary electrophoresis (CE) with chemiluminescence (CL) detection method for determination of terbutaline sulfate has been developed. This method is based on the chemiluminescence reaction of potassium ferricyanide with luminol in sodium hydroxide medium sensitized by terbutaline sulfate. With the peak height as a Quantitative Parameter applying optimum working conditions, terbutaline sulfate is determined over the range of 7.0 × 10−8 to 3.6 × 10−6 M with a detection limit of 3.0 × 10−8 M. The relative standard deviation (RSD) was 4.6% for 6.0 × 10−7 M terbutaline sulfate (n = 11). The proposed method has been applied to determination of terbutaline sulfate in commercial terbutaline sulfate drug and spiked in human urine with satisfactory results.
Mark D Bednarski - One of the best experts on this subject based on the ideXlab platform.
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apparent diffusion coefficient a Quantitative Parameter for in vivo tumor characterization
European Journal of Radiology, 2003Co-Authors: Andreas M Herneth, Samira Guccione, Mark D BednarskiAbstract:Abstract Purpose: The purpose of the this study was to evaluate the potential of diffusion weighted imaging (DWI) to distinguish different tissue compartments in early, intermediate and advanced tumor stages. Materials and methods: Twenty-two male mice were induced with squamous cell tumor (SCCVII) and scanned with a clinical 1.5 T scanner. T1-SE, T2-FSE, diffusion weighted Line-Scan-MRI and contrast enhanced T1-SE were obtained from mice with early (tumor volume 10–100 mm3), intermediate (200–600 mm3), advanced tumors (600–1000 mm3) and tumor necrosis (>1500 mm3). The apparent diffusion coefficient (ADC) of different tumor compartments was calculated offline with a pixel-by-pixel method. The animals were sacrificed immediately after scanning and histopathologic correlation was performed. Results: In early stages of tumor development, tumors appeared homogeneous on diffusion weighted images with an ADC of 0.64±0.06×10−3 mm2/s. With tumor progression the ADC in the rim areas of tumor increased significantly (intermediate stage: 0.70±0.11×10−3 mm2/s; advanced stage: 0.88±0.11×10−3 mm2/s; tumor necrosis 1.03±0.06×10−3 mm2/s), whereas the ADC in viable tumor remained constant. Histologically the areas with an increased ADC correlated well with areas of necrosis (reduced cell density). Conclusion: The ADC is a non-invasive technique to monitor changes in the biological structure of tumor tissue during tumor progression. Thus, DWI is a potential diagnostic tool for in-vivo tissue characterization.
Jorma Hinkula - One of the best experts on this subject based on the ideXlab platform.
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consecutive ct in vivo lung imaging as Quantitative Parameter of influenza vaccine efficacy in the ferret model
Vaccine, 2012Co-Authors: Edwin Veldhuis J B Kroeze, Koert J Stittelaar, Vera J P Teeuwsen, Marcel L Dijkshoorn, Geert Van Amerongen, Leon De Waal, Thijs Kuiken, Gabriel P Krestin, Jorma HinkulaAbstract:Preclinical vaccine efficacy studies are generally limited to certain read out Parameters such as assessment of virus titers in swabs and organs, clinical signs, serum antibody titers, and patholog ...
Susmita Bhaduri - One of the best experts on this subject based on the ideXlab platform.
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visibility graph analysis of heart rate time series and bio marker of congestive heart failure
Physica A-statistical Mechanics and Its Applications, 2017Co-Authors: Anirban Bhaduri, Susmita Bhaduri, Dipak GhoshAbstract:Abstract Study of RR interval time series for Congestive Heart Failure had been an area of study with different methods including non-linear methods. In this article the cardiac dynamics of heart beat are explored in the light of complex network analysis, viz. visibility graph method. Heart beat (RR Interval) time series data taken from Physionet database [46, 47] belonging to two groups of subjects, diseased (congestive heart failure) ( 29 in number) and normal ( 54 in number) are analyzed with the technique. The overall results show that a Quantitative Parameter can significantly differentiate between the diseased subjects and the normal subjects as well as different stages of the disease. Further, the data when split into periods of around 1 hour each and analyzed separately, also shows the same consistent differences. This Quantitative Parameter obtained using the visibility graph analysis thereby can be used as a potential bio-marker as well as a subsequent alarm generation mechanism for predicting the onset of Congestive Heart Failure.
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study of void probability scaling of singly charged particles produced in ultrarelativistic nuclear collision in fractal scenario
Advances in High Energy Physics, 2016Co-Authors: Susmita Bhaduri, Dipak GhoshAbstract:We study the fractality of void probability distribution measured in -Ag/Br interaction at an incident energy of 200 GeV per nucleon. A radically different and rigorous method called Visibility Graph analysis is used. This method is shown to reveal a strong scaling character of void probability distribution in all pseudorapidity regions. The scaling exponent, called the Power of the Scale-Freeness in Visibility Graph (PSVG), a Quantitative Parameter related to Hurst exponent, is strongly found to be dependent on the rapidity window size.
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study of void probability scaling of singly charged particles produced in ultrarelativistic nuclear collision in fractal scenario
arXiv: Data Analysis Statistics and Probability, 2016Co-Authors: Susmita Bhaduri, Dipak GhoshAbstract:In this paper, we study the fractality of void probability distribution measured in $^{32}$S-Ag/Br interaction at an incident energy of $200$ GeV per nucleon. A radically different and rigorous method called \textit{Visibility Graph} analysis is used. This method is shown to reveal a strong scaling character of void probability distribution in all pseurorapidity regions. The scaling exponent, called the Power of the Scale-freeness in Visibility Graph(PSVG), a Quantitative Parameter related to Hurst exponent, is strongly found to be dependent on the rapidity window size.
