Irregular Liesegang-type patterns in gas phase revisited. II. Statistical correlation analysis

2016 ◽  
Vol 144 (17) ◽  
pp. 174702 ◽  
Author(s):  
José C. Torres-Guzmán ◽  
Gustavo Martínez-Mekler ◽  
Markus F. Müller
Keyword(s):  
Correlation Analysis ◽  
Gas Phase ◽  
Statistical Correlation

scholarly journals Importance of biogenic volatile organic compounds to acyl peroxy nitrates (APN) production in the southeastern US during SOAS 2013

2019 ◽  
Vol 19 (3) ◽  
pp. 1867-1880 ◽  
Author(s):  
Shino Toma ◽  
Steve Bertman ◽  
Christopher Groff ◽  
Fulizi Xiong ◽  
Paul B. Shepson ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Gas Phase ◽  
Organic Compounds ◽  
Model Simulation ◽  
Statistical Correlation ◽  
Organic Nitrates ◽  
Biogenic Volatile Organic Compounds ◽  
The North ◽  
Southeastern Us ◽  
Volatile Organic

Abstract. Gas-phase atmospheric concentrations of peroxyacetyl nitrate (PAN), peroxypropionyl nitrate (PPN), and peroxymethacryloyl nitrate (MPAN) were measured on the ground using a gas chromatograph electron capture detector (GC-ECD) during the Southern Oxidants and Aerosols Study (SOAS) 2013 campaign (1 June to 15 July 2013) in Centreville, Alabama, in order to study biosphere–atmosphere interactions. Average levels of PAN, PPN, and MPAN were 169, 5, and 9 pptv, respectively, and the sum accounts for an average of 16 % of NOy during the daytime (10:00 to 16:00 local time). Higher concentrations were seen on average in air that came to the site from the urban NOx sources to the north. PAN levels were the lowest observed in ground measurements over the past two decades in the southeastern US. A multiple regression analysis indicates that biogenic volatile organic compounds (VOCs) account for 66 % of PAN formation during this study. Comparison of this value with a 0-D model simulation of peroxyacetyl radical production indicates that at least 50 % of PAN formation is due to isoprene oxidation. MPAN has a statistical correlation with isoprene hydroxynitrates (IN). Organic aerosol mass increases with gas-phase MPAN and IN concentrations, but the mass of organic nitrates in particles is largely unrelated to MPAN.

scholarly journals Reliability-Based Serviceability Limit State Design of a Jacket Substructure for an Offshore Wind Turbine

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2751 ◽  
Author(s):  
Jianhua Zhang ◽  
Won-Hee Kang ◽  
Ke Sun ◽  
Fushun Liu
Keyword(s):  
Correlation Analysis ◽  
Reliability Analysis ◽  
Limit State ◽  
Statistical Correlation ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
State Function ◽  
Optimized Design ◽  
Foundation Design ◽  
Serviceability Limit State

The development of a structurally optimized foundation design has become one of the main research objectives for offshore wind turbines (OWTs). The design process should be carried out in a probabilistic way due to the uncertainties involved, such as using parametric uncertainties regarding material and geometric properties, and model uncertainties in resistance prediction models and regarding environmental loads. Traditional simple deterministic checking procedures do not guarantee an optimized design because the associated uncertainties are not fully considered. In this paper, a reliability analysis framework is proposed to support the optimized design of jacket foundations for OWTs. The reliability analysis mainly considers the serviceability limit state of the structure according to the requirements of the code. The framework consists of two parts: (i) an important parameter identification procedure based on statistical correlation analysis and (ii) a finite element-simulation-based reliability estimation procedure. The procedure is demonstrated through a jacket structure design of a 3 MW OWT. The analysis results show that the statistical correlation analysis can help to identify the parameters necessary for the overall structural performance. The Latin hypercube sampling and the Monte Carlo simulation using FE models effectively and efficiently evaluate the reliability of the structure while not relying on a surrogate limit state function. A comparison between the proposed framework and the deterministic design shows that the framework can help to achieve a better result closer to the target reliability level.

scholarly journals Correlation of hair risperidone concentration and serum level among patients with schizophrenia

2019 ◽  
Vol 32 (1) ◽  
pp. e100042 ◽  
Author(s):  
Xiujia Sun ◽  
Lihua Wang ◽  
Fuzhong Yang ◽  
Juanjuan Ren ◽  
Ping Jiang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Serum Concentration ◽  
Total Concentration ◽  
Rapid Onset ◽  
High Plasma ◽  
Statistical Correlation ◽  
Therapeutic Drug ◽  
Experimental Basis ◽  
Drug Concentrations

BackgroundRisperidone (RSP) has a rapid onset in vivo, low dosage and high plasma protein binding rate, therefore therapeutic drug monitoring (TDM) is needed to ensure safety in clinical treatment. However, compared with blood, hair is non-invasive, safe, non-infectious and easy to transport and store.AimsThis study aims to investigate the correlations among the drug concentrations of RSP in hair and serum, which provides an experimental basis to explore hair as a novel biomaterial to meet the needs of clinical detection.Methods34 patients with schizophrenia treated with RSP for more than 3 months were enrolled in this study. About 1 cm section of hair near the scalp was taken from the subjects, pretreated and detected by liquid chromatography-mass spectrometry. A correlation analysis was conducted among the drug concentrations in hair, the serum concentrations and the daily dosage. The data were analysed using SPSS 20.0 software.Results There was significant correlation between the hair concentration of RSP (two-tailed test, r=0.440,p=0.009) with the serum concentration of RSP, and the hair concentration of 9-hydroxyrisperidone (9-HR) with the serum concentration of 9-HR had no significant correlation (two-tailed test, r=−0.217,p=0.217); the total concentration of the RSP and 9-HR had no significant correlation between hair and serum (r=0.227,p=0.196). The dosage had no statistically significant correlation with the concentration of RSP in hair (r=0.207,p=0.241), 9-HR in hair (r=−0.194,p=0.271) and the total concentration of RSP and 9-HR in hair (r=0.188,p=0.288). There was no statistical correlation between the dosage and the concentration of RSP in serum (r=−0.059,p=0.741), but significant correlation between the dosage and 9-HR in serum (r=0.581p<0.001) was found, and the correlation between the dosage and the total concentration of the two drugs RSP and 9-HR in serum was also significant (r=0.437,p=0.01).ConclusionThe correlation analysis showed that the concentration of RSP in hair was statistically significant with the serum RSP concentration. In this study, we provided some experimental basis for hair as a new biomaterial to monitor the therapeutic drug concentration.

Statistical correlation analysis in image retrieval

2002 ◽  
Vol 35 (12) ◽  
pp. 2687-2693 ◽  
Author(s):  
Mingjing Li ◽  
Zheng Chen ◽  
Hong-Jiang Zhang
Keyword(s):  
Correlation Analysis ◽  
Image Retrieval ◽  
Statistical Correlation

scholarly journals Statistical Correlation Analysis of Field-Aligned Currents Measured by Swarm

2018 ◽  
Vol 123 (10) ◽  
pp. 8170-8184 ◽  
Author(s):  
J. -Y. Yang ◽  
M. W. Dunlop ◽  
H. Lühr ◽  
C. Xiong ◽  
Y.-Y. Yang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Statistical Correlation

Statistical correlation properties of the SHIBOR interbank lending market

2015 ◽  
Vol 5 (2) ◽  
pp. 91-102 ◽  
Author(s):  
Yong Luo ◽  
Jie Xiong ◽  
Lie Gang Dong ◽  
Yong Tang
Keyword(s):  
Correlation Analysis ◽  
Matrix Theory ◽  
Statistical Correlation ◽  
Largest Eigenvalue ◽  
Content Type ◽  
Crisis Period ◽  
Good Estimator ◽  
Interbank Lending ◽  
Correlation Properties ◽  
Market Mode

Purpose – The purpose of this paper is to investigate the statistical correlation properties of the Shanghai Interbank Offered Rate (SHIBOR) interbank lending market. Design/methodology/approach – The authors apply methods of correlation analysis, random matrix theory (RMT) and minimum spanning tree (MST) to investigate the correlation properties of Chinese interbank lending market and analyze how the SHIBOR panel banks behave in different market periods. Findings – First, the largest eigenvalue λ 1 is the index to describe the market mode of the whole market when all banks behavior collectively and λ 1/N is a good estimator of the average correlation <C> of the correlation matrix. Second, notably, the authors find the “market mode” is weakened in two crises periods of 2008 stock market crash and 2009 Global Financial Crisis. This is significantly different from other market where the “market mode” is normally strengthened in crises periods. Third, the authors subtract the contribution of λ 1, the second and third eigenvalue, λ 2 and λ 3, will fall outside of the predicted interval. And both λ 2 and λ 3 are getting times larger in the crises periods than in “Non-Crisis” period. Fourth, and in the MST analysis, the authors find again that the average distances of the MST are the times larger in crises periods than in “Non-Crisis” period and the second largest eigenvalue is a good estimator of the average distance of the MST. Originality/value – According to the best knowledge, this paper is the first work on the study of the statistical properties of an interbank lending market using quotation level data of panel banks, which allows us to analyze the properties of the interest rate formation and how all panel banks behavior in different periods. This work is also the first study on the SHIBOR market using econophysics methods of correlation analysis, RMT and MST.

scholarly journals Importance of Biogenic Volatile Organic Compounds to Peroxyacyl Nitrates (PANs) Production in the Southeastern U.S. during SOAS 2013

2018 ◽  
Author(s):  
Shino Toma ◽  
Steve Bertman ◽  
Christopher Groff ◽  
Fulizi Xiong ◽  
Paul B. Shepson ◽  
...  
Keyword(s):  
Gas Phase ◽  
Atmospheric Chemistry ◽  
Model Simulation ◽  
Statistical Correlation ◽  
Organic Nitrates ◽  
The North ◽  
Aerosol Mass ◽  
Isoprene Oxidation ◽  
D Model ◽  
Atmospheric Concentrations

Abstract. Gas-phase atmospheric concentrations of PAN, PPN, and MPAN were measured at the ground using GC-ECD during the SOAS 2013 campaign (1 June to 15 July 2013) in Centerville, Alabama in order to study biosphere-atmosphere interactions. Average levels of PAN, PPN and MPAN were 169, 5, and 9 pptv respectively, and the sum accounts for an average of 15 % of NOy during the daytime (10 am to 4 pm local time). Higher concentrations were seen on average in air that came to the site from the urban NOx sources to the north. PAN levels were the lowest observed in ground measurements over the past two decades in the Southeastern U.S. Analysis of PAN/NOx indicates PAN production in this region was sensitive to NOx. A multiple regression analysis indicates that biogenic VOCs account for 66 % of PAN formation in this region of the Southeastern U.S. Comparison of this value with a 0-D model simulation of peroxyacetyl radical production indicates that at least 50 % of PAN formation is due to isoprene oxidation. MPAN has a statistical correlation with isoprene hydroxynitrates (IN) with an average MPANppb/INppb ratio of 0.3. Organic aerosol mass increases with gas-phase MPAN and IN concentrations, but the mass of organic nitrates in particles is largely insensitive to MPAN. Isoprene and PAN play a significant role in the atmospheric chemistry in the Southeastern United States.

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