scholarly journals A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Jong-Ho Choi ◽  
Min-Hyuk Kim ◽  
Luan Feng ◽  
Chany Lee ◽  
Hyun-Kyo Jung
Keyword(s):  
Correlation Coefficient ◽  
Method Comparison ◽  
Evaluation Metrics ◽  
Cortical Surface ◽  
Cortical Sources ◽  
Surface Accuracy ◽  
Simulation Results ◽  
Electrical Activities ◽  
Coefficient Method ◽  
Weighted Correlation

Various inverse algorithms have been proposed to estimate brain electrical activities with magnetoencephalography (MEG) and electroencephalography (EEG). To validate and compare the performances of inverse algorithms, many researchers have used artificially constructed EEG and MEG datasets. When the artificial sources are reconstructed on the cortical surface, accuracy of the source estimates has been difficult to evaluate. In this paper, we suggest a new measure to evaluate the reconstructed EEG/MEG cortical sources more accurately. To validate the usefulness of the proposed method, comparison between conventional and proposed evaluation metrics was conducted using artificial cortical sources simulated under different noise conditions. The simulation results demonstrated that only the proposed method could reflect the source space geometry regardless of the number of source peaks.

Is the Fluorometric Method for Blood Bilirubin Accurate?

PEDIATRICS ◽  
1980 ◽  
Vol 66 (4) ◽  
pp. 653-654
Author(s):  
George Cembrowski ◽  
Carl C. Garber
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Correlation Coefficient ◽  
Whole Blood ◽  
Total Bilirubin ◽  
Regression Line ◽  
Method Comparison ◽  
Fluorometric Method ◽  
Accuracy And Precision ◽  
Comparison Data

The article by Brown et al1 interested us greatly. Direct fluorometric measurement of whole blood bilirubin, if accurate and precise, will help in the care of the jaundiced neonate. The accuracy and precision of this technique, however, cannot be readily assessed from the authors' data. Consider the comparison of the fluorometric method to the Jendrassik-Grof method for total bilirubin. To assess accuracy, the authors use the correlation coefficient, r, and the slope of the linear regression line through the method comparison data. There are two problems with this data analysis.

The Method Comparison of Anti-Floating of Reinforced Concrete Slab at Underground Business Street

2017 ◽  
Vol 730 ◽  
pp. 429-434 ◽  
Author(s):  
Feng Xia Wang ◽  
Zheng Ru Yuan ◽  
Huan Xi Cai
Keyword(s):  
South China ◽  
Concrete Slab ◽  
Method Comparison ◽  
Underground Water ◽  
Foundation Design ◽  
Reinforced Concrete Slab ◽  
Design Scheme ◽  
Raft Foundation ◽  
Underground Water Level ◽  
Coefficient Method

It’s a good mean to develop underground business street. But at South China, usually the underground water level is higher, while the weight of structures is smaller, so it causes a prominent problem—anti-floating of structures. These cases of failure including both whole anti-floating and partial anti-floating are reported occasionally. To thoroughly solve the problem of anti-floating, the foundation design of underground street structure is particularly important. At present there are two kinds of foundation design scheme of the underground street. The First is raft foundation plus anti-floating anchors, and the second is independent foundation plus waterproof plates. In this paper, according to practical underground business street, two kinds of foundation design scheme are used to calculate the foundation respectively. Conclusion are drawn: by means of raft foundation, the quantity of bars at Column pier is smaller than that by means of independent foundation; the quantity of bars at raft is bigger than that by means of waterproof plates; the quantity of bars at waterproof plate is bigger gained by means of experience coefficient method than that by mean of JCCAD.

scholarly journals Single-Valued Neutrosophic Set Correlation Coefficient and Its Application in Fault Diagnosis

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1371
Author(s):  
Shchur Iryna ◽  
Yu Zhong ◽  
Wen Jiang ◽  
Xinyang Deng ◽  
Jie Geng
Keyword(s):  
Fault Diagnosis ◽  
Correlation Coefficient ◽  
Triangular Fuzzy Number ◽  
Neutrosophic Set ◽  
Mechanical Equipment ◽  
Inaccurate Information ◽  
The Given ◽  
Set Correlation ◽  
Accuracy Degree ◽  
Weighted Correlation

With the increasing automation of mechanical equipment, fault diagnosis becomes more and more important. However, the factors that cause mechanical failures are becoming more and more complex, and the uncertainty and coupling between the factors are getting higher and higher. In order to solve the given problem, this paper proposes a single-valued neutrosophic set ISVNS algorithm for processing of uncertain and inaccurate information in fault diagnosis, which generates neutrosophic set by triangular fuzzy number and introduces the formula of the improved weighted correlation coefficient. Since both the single-valued neutrosophic set data and the ideal neutrosophic set data are considered, the proposed method solves the fault diagnosis problem more effectively. Finally, experiments show that the algorithm can significantly improve the accuracy degree of fault diagnosis, and can better satisfy the diagnostic requirements in practice.

A Neural Root Finder of Polynomials Based on Root Moments

2004 ◽  
Vol 16 (8) ◽  
pp. 1721-1762 ◽  
Author(s):  
De-Shuang Huang ◽  
Horace H.S. Ip ◽  
Zheru Chi
Keyword(s):  
Learning Algorithm ◽  
A Priori ◽  
Feedforward Neural Networks ◽  
A Priori Information ◽  
Backpropagation Algorithm ◽  
Constrained Learning ◽  
Roots Of Polynomials ◽  
Simulation Results ◽  
Priori Information ◽  
Coefficient Method

This letter proposes a novel neural root finder based on the root moment method (RMM) to find the arbitrary roots (including complex ones) of arbitrary polynomials. This neural root finder (NRF) was designed based on feedforward neural networks (FNN) and trained with a constrained learning algorithm (CLA). Specifically, we have incorporated the a priori information about the root moments of polynomials into the conventional backpropagation algorithm (BPA), to construct a new CLA. The resulting NRF is shown to be able to rapidly estimate the distributions of roots of polynomials. We study and compare the advantage of the RMM-based NRF over the previous root coefficient method—based NRF and the traditional Muller and Laguerre methods as well as the mathematica roots function, and the behaviors, the accuracies of the resulting root finders, and their training speeds of two specific structures corresponding to this FNN root finder: the log σand the σ FNN. We also analyze the effects of the three controlling parameters {δP0 θp η} with the CLA on the two NRFs theoretically and experimentally. Finally, we present computer simulation results to support our claims.

scholarly journals Study on Land-use Changes and Their Impacts on Air Pollution in Chengdu

Atmosphere ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 42 ◽  
Author(s):  
Wei Sun ◽  
Zhihong Liu ◽  
Yang Zhang ◽  
Weixin Xu ◽  
Xiaotong Lv ◽  
...  
Keyword(s):  
Land Use ◽  
Wind Speed ◽  
Correlation Coefficient ◽  
Urban Areas ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Simulation Results ◽  
The City ◽  
Better Than

The expansion of urban areas and the increase in the number of buildings and urbanization characteristics, such as roads, affect the meteorological environment in urban areas, resulting in weakened pollutant dispersion. First, this paper uses GIS (geographic information system) spatial analysis technology and landscape ecology analysis methods to analyze the dynamic changes in land cover and landscape patterns in Chengdu as a result of urban development. Second, the most appropriate WRF (Weather Research and Forecasting) model parameterization scheme is selected and screened. Land-use data from different development stages in the city are included in the model, and the wind speed and temperature results simulated using new and old land-use data (1980 and 2015) are evaluated and compared. Finally, the results of the numerical simulations by the WRF-Chem air quality model using new and old land-use data are coupled with 0.25° × 0.25°-resolution MEIC (Multi-resolution Emission Inventory for China) emission source data from Tsinghua University. The results of the sensitivity experiments using the WRF-Chem model for the city under different development conditions and during different periods are discussed. The meteorological conditions and pollution sources remained unchanged as the land-use data changed, which revealed the impact of urban land-use changes on the simulation results of PM2.5 atmospheric pollutants. The results show the following. (1) From 1980 to 2015, the land-use changes in Chengdu were obvious, and cultivated land exhibited the greatest changes, followed by forestland. Under the influence of urban land-use dynamics and human activities, both the richness and evenness of the landscape in Chengdu increased. (2) The microphysical scheme WSM3 (WRF Single–Moment 3 class) and land-surface scheme SLAB (5-layer diffusion scheme) were the most suitable for simulating temperatures and wind speeds in the WRF model. The wind speed and temperature simulation results using the 2015 land-use data were better than those using the 1980 land-use data when assessed according to the coincidence index and correlation coefficient. (3) The WRF-Chem simulation results obtained for PM2.5 using the 2015 land-use data were better than those obtained using the 1980 land-use data in terms of the correlation coefficient and standard deviation. The concentration of PM2.5 in urban areas was higher than that in the suburbs, and the concentration of PM2.5 was lower on Longquan Mountain in Chengdu than in the surrounding areas.

Overexpression of the osteopontin correlates with the aggressiveness of endometrial cancer

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 5038-5038
Author(s):  
C. Cho ◽  
S. Kwon ◽  
S. Ramachandran ◽  
S. Kwon ◽  
K. Kwon ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Correlation Coefficient ◽  
Statistical Significance ◽  
Endometrial Adenocarcinoma ◽  
Clinicopathologic Characteristics ◽  
Tissue Samples ◽  
The Status ◽  
Endometrial Carcinomas ◽  
Spearman’S Correlation ◽  
Coefficient Method

5038 Background: To test the hypothesis that expression of osteopontin (OPN), an integrin-binding glycoprotein, can independently predict the potential aggressiveness of endometrial cancer. We studied OPN expression in endometrial cell carcinomas and correlated OPN expression levels with clinicopathologic tumor features. Methods: The status of OPN expression in benign and malignant endometrial cancer cell lines and tissues was analyzed by Western blot and immunohistochemistry. Nonparametric Spearman’s correlation coefficient method was used to assess the statistical significance of the correlation between clinicopathologic characteristics of tumor and OPN expression. Results: An increased expression of OPN was observed in the endometrial cancer compared to normal endometrial tissue samples. When the level of OPN in normal tissue was set at 1, its level in benign endometrial hyperplasia was slightly increased at 1.2, whereas the OPN level in the highly malignant endometrial carcinoma tissue was greatly increased by nearly 3- 5 folds. Amongst the 70 cases examined immunocytochemically, of the 23 grade 1 endometrial carcinomas, 6 were unstained and 12 stained weakly positive (+). For the 20 grade 3 or serous type endometrial carcinomas analyzed, 8 (40%) stained strongly positive (+++), 8 (40%) stained moderately positive (++) and 1 stained weakly positive (+). These results showed that the level of OPN expressed between grade 1 and grde 3 or more was significantly different (Spearman’s correlation coefficient method, p = 0.001). Kaplan-Meier survival analysis showed that the increased level of OPN expression was significantly associated with reduced survival time of the patients. Conclusions: The results suggest that the increased OPN level may be involved in the malignant transformation of endometrial adenocarcinoma cells and OPN expression level is an important determinant for patient survival. No significant financial relationships to disclose.

Overexpression of the osteopontin correlates with the aggressiveness of endometrial cancer

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 16048-16048
Author(s):  
C. Cho ◽  
S. Cha ◽  
S. Kwon ◽  
Y. Kwon ◽  
S. Kang ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Correlation Coefficient ◽  
Statistical Significance ◽  
Endometrial Adenocarcinoma ◽  
Clinicopathologic Characteristics ◽  
Tissue Samples ◽  
Grade 3 ◽  
Endometrial Carcinomas ◽  
Spearman’S Correlation ◽  
Coefficient Method

16048 Background: To test the hypothesis that expression of osteopontin (OPN), an integrin-binding glycoprotein, can independently predict the potential aggressiveness of endometrial cancer. Methods: The status of OPN expression in benign and malignant endometrial cancer cell lines and tissues was analyzed by real time PCR, Western blot, and immunohistochemistry. Nonparametric Spearman's correlation coefficient method was used to assess the statistical significance of the correlation between clinicopathologic characteristics of tumor and OPN expression. Results: An increased expression of OPN was observed in the endometrial cancer compared to normal endometrial tissue samples. When the level of OPN in normal tissue was set at 1, its level in benign endometrial hyperplasia was slightly increased at 1.2, whereas the OPN level in the highly malignant endometrial carcinoma tissue was greatly increased by nearly 3–5 folds. Amongst the 160 cases examined immunohistochemically, of the 43 grade 1 endometrial carcinomas, 31 were unstained and 12 stained weakly positive (+). For the 41 grade 3 or serous type endometrial carcinomas analyzed, 25 (60%) stained strongly positive (+++), 8 (19%) stained moderately positive (++) and 4 (9%) stained weakly positive (+). These results showed that the level of OPN expressed between grade 1 and grade 3 or more was significantly different (Spearman's correlation coefficient method, p = 0.001). However, Kaplan-Meier survival analysis showed that the increased level of OPN expression was not significantly associated with reduced survival time of the patients. Conclusion: The results suggest that the increased OPN level may be involved in the malignant transformation of endometrial adenocarcinoma cells. No significant financial relationships to disclose.

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