Combinational Meta-paths Mining for Correlation Relationship Evaluation in Bibliographic Networks

2018 ◽  
pp. 660-669
Author(s):  
Qinchen Wu ◽  
Peng Wu ◽  
Li Pan
Keyword(s):  
Correlation Relationship

The Relationship Between The University Services Marketing And the Leading Orientation And Their Impact In Enhancing The University Reputation

2018 ◽  
Vol 2 (3) ◽  
pp. 110-140 ◽  
Author(s):  
Nusseibeh Ahmed Abdul Wahid
Keyword(s):  
Private Universities ◽  
Services Marketing ◽  
Correlation Relationship ◽  
Independent Variables ◽  
Marketing Orientation ◽  
University Reputation ◽  
Administrative Leaders ◽  
University Services ◽  
The University ◽  
The Relationship

The relationship between the university services marketing and the leading orientation and their impact in enhancing the university reputation: Field study on a sample of administrative leaders in       private universities in the Erbil city Objective - The current study try to find the role of marketing university services (educational services, research services, community services) and the leading orientation (research mobilization, distinction, cooperation, university policies, proactive) as independent variables in enhancing the university's reputation as dependent a variable (Social responsibility, innovation, quality of service, image of the organization) in a sample of private universities in the Erbil city. Methodology of the study - The problem of the study was determined in several questions related to the nature of the correlation relationship - the effect of independent study variables (marketing of university services and leadership orientation) and the dependent variable (the reputation of the university). For this purpose, the hypotheses were subjected to multiple tests. The study used the questionnaire as a means to obtain data from the administrative leaders of the investigated universities. - The study was used the analytical descriptive method. The main and sub-variables were described and correlation and effect relationships were analyzed between the variables using advanced statistical methods (arithmetic mean, standard deviation, percentages, Pearson correlation, multiple regression test) , And the implementation of the statistical program (SPSS-Ver.18). The study was conducted in the educational sector in the city of Erbil, in order to obtain the necessary information for the field through a questionnaire prepared for this purpose and distributed to six universities. The number of respondents was (73) (Presidents of universities, their assistants, deans, their assistants, heads of departments) at the universities in question. The value of the study: The main conclusions of the study are the existence of a significant relationship between the variables of the study and the existence of a significant effect of the independent variable marketing of university services and the leading trend in the dependent variable universities reputation and the existence of variation of the effect of independent variables in the dependent variable in the universities investigated, A set of recommendations, the most important of which is the establishment of a center for the marketing of services at the university level and at the level of each college. In order to conduct a continuous study of the labor market to determine market needs, the university should be aware of the importance of marketing orientation in university education

scholarly journals Quantitative Correlation and Control Strategy for Element Content Fluctuation along Casting Direction in Central Area of Continuous Casting Billet

Metals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 452
Author(s):  
Dongwei Guo ◽  
Zibing Hou ◽  
Zhiqiang Peng ◽  
Qian Liu ◽  
Jianghai Cao
Keyword(s):  
Control Strategy ◽  
Central Area ◽  
Solidification Structure ◽  
Equiaxed Crystal ◽  
Correlation Relationship ◽  
Zone Formation ◽  
Zone Width ◽  
Quantitative Correlation ◽  
Central Segregation ◽  
And Control

The statistical correlation was applied to analyze the specific and quantitative correlation relationship between the solidification structure and central segregation along the casting direction in carbon steel billet. On this basis, the segregation formation mechanism of the solute element and related control strategy were investigated. It is found that the equiaxed crystal zone fluctuation along the casting direction determines the fluctuation degree of central segregation. At the same time, the central segregation at a certain position is mostly affected by the equiaxed crystal zone width at the hysteretic position. Moreover, the casting speed can influence the columnar to equiaxed transition (CET) fluctuation along the casting direction by affecting the flow of molten steel in the billet. Overall, the segregation mechanism of solute elements along the casting direction can be summarized into two aspects: First, with the growth of columnar crystals in the initial stage, the segregated solutes are continuously enriched and distributed in the equiaxed crystal zone after CET. The fluctuation of the equiaxed crystal zone will affect the distribution of the enriched solute in the billet and cause the fluctuation of the central segregation. Second, due to the solidification shrinkage at the end of solidification, the solute-enriched liquid phase at the hysteretic position is pumped to the solidification endpoint and forms the central V-shaped segregation. Meanwhile, the stable solidification structure (columnar crystal length or equiaxed crystal zone width) along the casting direction and control measures preceded equiaxed crystal zone formation are beneficial to reduce the central V-shaped segregation.

Precise clustering analysis of Internet financial credit reporting dependent on multidimensional attribute sparse large data

2021 ◽  
pp. 002072092110020
Author(s):  
Lingling Chen ◽  
Yuanyuan Zhang ◽  
Min Zeng
Keyword(s):  
Clustering Analysis ◽  
Large Data ◽  
Distance Matrix ◽  
The Internet ◽  
Relationship Matrix ◽  
Clustering Methods ◽  
Correlation Relationship ◽  
Credit Reporting ◽  
Financial Credit ◽  
Approximate Distance

Given that the traditional methods cannot perform clustering analysis on the Internet financial credit reporting directly and effectively, a kind of precise clustering analysis of internet financial credit reporting dependent on multidimensional attribute sparse large data is proposed. By measuring the overall distance between Internet financial credit reporting through the sparse large data with multidimensional attributes, the multidimensional attribute sparse large data are used to perform clustering analysis on the overall distance matrix and the component approximate distance matrix between the data, respectively. The correlation relationship between the Internet financial credit reporting under these two perspectives is taken into comprehensive consideration. Multidimensional attribute sparse large data pairs are used to reflect the comprehensive relationship matrix of the original Internet financial credit reporting to achieve clustering with relatively high quality. Numerical experiments show that compared with the traditional clustering methods, the method proposed in this paper can not only reflect the overall data features effectively, but also improve the clustering effect of the original Internet financial credit reporting data through the analysis of the correlation relationship between the important component attribute sequences.

MULTIFRACTAL DETRENDED CROSS-CORRELATION ANALYSIS FOR LARGE-SCALE WAREHOUSE-OUT BEHAVIORS

Fractals ◽  
2015 ◽  
Vol 23 (04) ◽  
pp. 1550044 ◽  
Author(s):  
CAN-ZHONG YAO ◽  
JI-NAN LIN ◽  
XU-ZHOU ZHENG
Keyword(s):  
Correlation Analysis ◽  
Large Scale ◽  
Cross Correlation ◽  
Correlation Property ◽  
Long Term Memory ◽  
Correlation Relationship ◽  
Term Memory ◽  
Wire Rod ◽  
Cross Correlation Analysis

Based on cross-correlation algorithm, we analyze the correlation property of warehouse-out quantity of different warehouses, respectively, and different products of each warehouse. Our study identifies that significant cross-correlation relationship for warehouse-out quantity exists among different warehouses and different products of a warehouse. Further, we take multifractal detrended cross-correlation analysis for warehouse-out quantity among different warehouses and different products of a warehouse. The results show that for the warehouse-out behaviors of total amount, different warehouses and different products of a warehouse significantly follow multifractal property. Specifically for each warehouse, the coupling relationships of rebar and wire rod reveal long-term memory characteristics, no matter for large fluctuation or small one. The cross-correlation effect on long-range memory property among warehouses probably has less to do with product types,and the long-term memory of YZ warehouse is greater than others especially in total amount and wire rod product. Finally, we shuffle and surrogate data to explore the source of multifractal cross-correlation property in logistics system. Taking the total amount of warehouse-out quantity as example, we confirm that the fat-tail distribution of warehouse-out quantity sequences is the main factor for multifractal cross-correlation. Through comparing the performance of the multifractal detrended cross-correlation analysis (MF-DCCA), centered multifractal detrending moving average cross-correlation analysis (MF-X-DMA) algorithms, the forward and backward MF-X-DMA algorithms, we find that the forward and backward MF-X-DMA algorithms exhibit a better performance than the other ones.

scholarly journals AUTOMATICALLY DETECTING "SIGNIFICANT EVENTS" ON SenseCam

2013 ◽  
Vol 11 (06) ◽  
pp. 1350050 ◽  
Author(s):  
NA LI ◽  
MARTIN CRANE ◽  
HEATHER J. RUSKIN
Keyword(s):  
Time Series ◽  
Detrended Fluctuation Analysis ◽  
Time Windows ◽  
Fluctuation Analysis ◽  
Discrete Wavelet ◽  
Dominant Eigenvalue ◽  
Multiple Time ◽  
Correlation Relationship ◽  
Significant Events ◽  
Detrended Fluctuation

SenseCam is an effective memory-aid device that can automatically record images and other data from the wearer's whole day. The main issue is that, while SenseCam produces a sizeable collection of images over the time period, the vast quantity of captured data contains a large percentage of routine events, which are of little interest to review. In this article, the aim is to detect "Significant Events" for the wearers. We use several time series analysis methods such as Detrended Fluctuation Analysis (DFA), Eigenvalue dynamics and Wavelet Correlations to analyse the multiple time series generated by the SenseCam. We show that Detrended Fluctuation Analysis exposes a strong long-range correlation relationship in SenseCam collections. Maximum Overlap Discrete Wavelet Transform (MODWT) was used to calculate equal-time Correlation Matrices over different time scales and then explore the granularity of the largest eigenvalue and changes of the ratio of the sub-dominant eigenvalue spectrum dynamics over sliding time windows. By examination of the eigenspectrum, we show that these approaches enable detection of major events in the time SenseCam recording, with MODWT also providing useful insight on details of major events. We suggest that some wavelet scales (e.g., 8 minutes–16 minutes) have the potential to identify distinct events or activities.

Determination of the correlation relationship between irrigation and distribution of agricultural lands

2021 ◽  
Vol 07 (02) ◽  
pp. 29-35
Author(s):  
Kamil Zakir oğlu İbrahimli ◽  
Keyword(s):  
Key Words ◽  
Statistical Method ◽  
Negative Correlation ◽  
Agricultural Lands ◽  
Correlation Relationship ◽  
Positive Correlation ◽  
Correlation Methods ◽  
Correlation Degree ◽  
The Relationship

The importance of the statistical method is great in the study of natural and economic processes. It is possible to conduct analyzes and obtain results with the help of this method. Sometimes phenomena and processes co-exist and develop interdependently. In this case, it is necessary to determine the relationship between them, to express this relationship. Key words: perfect positive correlation, perfect negative correlation, direction of correlation, degree of correlation, methods of calculating correlation, Spearman᾽s method

scholarly journals Features of the Spring Flood Formation in the Arpa River Basin

2021 ◽  
pp. 126-152
Author(s):  
Keyword(s):  
River Basin ◽  
Weighted Average ◽  
Close Correlation ◽  
Annual Runoff ◽  
Average Height ◽  
Spring Flood ◽  
Correlation Relationship ◽  
Catchment Areas ◽  
The Mean ◽  
Maximum Runoff

The article considers main physical and geographical factors affecting the runoff, spring flood of rivers in the Arpa River basin, and analyzes the regularities of their spacetime distribution. The authors have obtained correlation relationship between the values of the flood runoff layer, the mean module maximum runoff and weighted average height of the catchment area of the Arpa River, between the mean annual maximum runoff module for the period floods and catchment areas of rivers. These dependencies can be used for preliminary estimates of the spring flood runoff of unexplored rivers of the territory under consideration. A close correlation between the values of the annual runoff and the runoff of the spring flood in the section of the Arpa River – Dzhermuk has been also revealed. It can be used for forecasting the annual flow.

scholarly journals The Temporal Dynamics of EEG Microstate Reveals the Neuromodulation Effect of Acupuncture With Deqi

2021 ◽  
Vol 15 ◽  
Author(s):  
Xiaopeng Si ◽  
Shunli Han ◽  
Kuo Zhang ◽  
Ludan Zhang ◽  
Yulin Sun ◽  
...  
Keyword(s):  
Human Brain ◽  
Temporal Dynamics ◽  
Transition Probabilities ◽  
Transition Probability ◽  
Therapeutic Effects ◽  
Dynamic Feature ◽  
Correlation Relationship ◽  
External Stimulation ◽  
Positive Correlation ◽  
Mapping Tool

The electroencephalography (EEG) microstate has recently emerged as a new whole-brain mapping tool for studying the temporal dynamics of the human brain. Meanwhile, the neuromodulation effect of external stimulation on the human brain is of increasing interest to neuroscientists. Acupuncture, which originated in ancient China, is recognized as an external neuromodulation method with therapeutic effects. Effective acupuncture could elicit the deqi effect, which is a combination of multiple sensations. However, whether the EEG microstate could be used to reveal the neuromodulation effect of acupuncture with deqi remains largely unclear. In this study, multichannel EEG data were recorded from 16 healthy subjects during acupuncture manipulation, as well as during pre- and post-manipulation tactile controls and pre- and post-acupuncture rest controls. As the basic acupuncture unit for regulating the central nervous system, the Hegu acupoint was used in this study, and each subject’s acupuncture deqi behavior scores were collected. To reveal the neuroimaging evidence of acupuncture with deqi, EEG microstate analysis was conducted to obtain the microstate maps and microstate parameters for different conditions. Furthermore, Pearson’s correlation was analyzed to investigate the correlation relationship between microstate parameters and deqi behavioral scores. Results showed that: (1) compared with tactile controls, acupuncture manipulation caused significantly increased deqi behavioral scores. (2) Acupuncture manipulation significantly increased the duration, occurrence, and contribution parameters of microstate C, whereas it decreased those parameters of microstate D. (3) Microstate C’s duration parameter showed a significantly positive correlation with acupuncture deqi behavior scores. (4) Acupuncture manipulation significantly increased the transition probabilities with microstate C as node, whereas it reduced the transition probabilities with microstate D as node. (5) Microstate B→C’s transition probability also showed a significantly positive correlation with acupuncture deqi behavior scores. Taken together, the temporal dynamic feature of EEG microstate could be used as objective neuroimaging evidence to reveal the neuromodulation effect of acupuncture with deqi.

scholarly journals – Creative ability and its relationship to some demographic and academic variables– Field study among students of the University of Khartoum

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Zhakiah Ahmed Amer
Keyword(s):  
Birth Order ◽  
Family Size ◽  
Academic Variables ◽  
Correlation Relationship ◽  
Descriptive Approach ◽  
Males And Females ◽  
Birth Family ◽  
The University ◽  
The Relationship ◽  
Correlative Relationship

The objective of the current study was to detect the relationship between the qualitative differences between the creativity and the age of the student and the age of the parents at birth، family size، birth order، economic and cultural level، loss of parents and their habitat (environment) using the descriptive approach. A total of 953 students، from the first level (males and females) and from the scientific and literary colleges in Khartoum University، Sudan. The results showed no significant differences in creativity، no correlative between the age of the parents and the students' ages in creativity، but there are: - a negative correlative relationship with maternal age at level (0. 01) and a positive correlative relationship with the age of the students at the level (0. 01)، but in both flexibility and fluency، there is a negative correlation relationship statistically significant with the age of students at the level of (0. 01). There is no correlation between the creativity and birth order of the student، creativity and family size، negative correlative relation with family size at (0. 01). The differences in creativity could be attributed to the place of residence at a significant level (0. 01).  

scholarly journals Dollar’s Influence on Crude Oil and Gold Based on MF-DPCCA Method

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhonghui Ding ◽  
Kai Shi ◽  
Bin Wang
Keyword(s):  
Correlation Analysis ◽  
Crude Oil ◽  
Cross Correlation ◽  
Combined Effect ◽  
Analysis Method ◽  
Correlation Relationship ◽  
Cross Correlation Analysis ◽  
Correlation Analysis Method ◽  
Phase Randomization

This paper analyzed the influence of dollar on crude oil and gold based on the multifractal detrended partial cross-correlation analysis method. It showed that affected by the dollar, the crude oil and gold markets have a partial cross-correlation relationship which is stronger than their own cross-correlation. The partial cross-correlation is long-term and has multifractal characteristics. Through shuffled and Fourier-phase randomization, it is found that this multifractal feature is caused by the combined effect of the long-term cross-correlation between the returns and the fluctuation fat-tailed distribution, where the influence of the fat-tailed distribution is slightly greater than that of the long-term cross-correlation between the returns.

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