scholarly journals Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving Projection

2021 ◽  
Vol 15 ◽  
Author(s):  
Shu Zhang ◽  
Zhibin He ◽  
Lei Du ◽  
Yin Zhang ◽  
Sigang Yu ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Preterm Infant ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Term Infant ◽  
Locality Preserving Projection ◽  
Locality Preserving ◽  
Human Connectome Project ◽  
Structural Connections ◽  
The Relationship

Preterm is a worldwide problem that affects infants’ lives significantly. Moreover, the early impairment is more than limited to isolated brain regions but also to global and profound negative outcomes later, such as cognitive disorder. Therefore, seeking the differences of brain connectome between preterm and term infant brains is a vital step for understanding the developmental impairment caused by preterm. Existing studies revealed that studying the relationship between brain function and structure, and further investigating their differentiable connectomes between preterm and term infant brains is a way to comprehend and unveil the differences that occur in the preterm infant brains. Therefore, in this article, we proposed a novel canonical correlation analysis (CCA) with locality preserving projection (LPP) approach to investigate the relationship between brain functional and structural connectomes and how such a relationship differs between preterm and term infant brains. CCA is proposed to study the relationship between functional and structural connections, while LPP is adopted to identify the distinguishing features from the connections which can differentiate the preterm and term brains. After investigating the whole brain connections on a fine-scale connectome approach, we successfully identified 89 functional and 97 structural connections, which mostly contributed to differentiate preterm and term infant brains from the functional MRI (fMRI) and diffusion MRI (dMRI) of the public developing Human Connectome Project (dHCP) dataset. By further exploring those identified connections, the results innovatively revealed that the identified functional connections are short-range and within the functional network. On the contrary, the identified structural connections are usually remote connections across different functional networks. In addition, these connectome-level results show the new insights that longitudinal functional changes could deviate from longitudinal structural changes in the preterm infant brains, which help us better understand the brain-behavior changes in preterm infant brains.

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

The effectiveness of quality awards on the company's performance – the case of Iran's national quality awards

2020 ◽  
Vol 27 (4) ◽  
pp. 1319-1340
Author(s):  
Hossein Safari ◽  
Elham Razghandi ◽  
Mohammad Reza Fathi ◽  
Virgilio Cruz-Machado ◽  
Maria do Rosário Cabrita
Keyword(s):  
Logistic Regression ◽  
Correlation Analysis ◽  
Financial Performance ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Business Environment ◽  
Content Type ◽  
National Quality ◽  
Quality Awards ◽  
The Relationship

PurposeThe purpose of this study is to clarify the relationship between getting quality awards by companies and their financial performance in Iran's business.Design/methodology/approachIn the first step, the relationship between awards scores and financial performance by canonical correlation analysis was examined. Then, binary and multinomial logistic regression was used to determine the degree of impact of each financial performance measure on getting quality awards. Finally, two forecasting functions were explored: the probability of achieving quality awards and the probability of achieving different levels of these awards.FindingsBased on the analyzed data of 112 companies through canonical correlation analysis, there was a weak relationship between financial performance and getting quality awards. Also, by using logistic regression, no result was found to prove the impact of financial performance measures on getting Iran's national quality awards. It can be concluded that conceptually, deployment of excellence organizational models will not result in favorable outcomes, especially in the financial scope. Also, practically, excellence models have not been well deployed in Iranian companies, or these models do not fit to Iran's business environment. Organizational culture may not be consistent with quality.Originality/valueQuality awards are given to qualified companies following the establishment of models of excellence such as the European Foundation for Quality Management (EFQM). The main novelty of this research is to clarify the relationship between getting quality awards by companies and their financial performance in Iran's business.

scholarly journals Investigating the relationship between gender inequality and happiness of OECD countries using classical and robust canonical correlation analysesOECD ülkelerinde cinsiyet eşitsizliği ve mutluluk arasindaki ilişkinin klasik ve dayanikli kanonik korelasyon analizleri ile incelenmesi

2016 ◽  
Vol 13 (3) ◽  
Author(s):  
Selay Giray ◽  
Özlem Yorulmaz ◽  
Bilge Başcı
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Gender Inequality ◽  
Canonical Correlation ◽  
Pearson Correlation ◽  
Oecd Countries ◽  
Equal Rights ◽  
Inequality Index ◽  
Political Empowerment ◽  
The Relationship

Gender equality corrresponds to equal rights and opportunities of individuals based on their gender. However, gender inequality refers mostly  lack of women’s  economic and political empowerment. Socially constructed different gender roles can be observed mostly in daily life.  Gender inequality  which can be perceived as an important social dynamic affects the happiness of individuals and hence  happiness of society. In this study, the relationship between the sub indicators of Gender Inequality Index and Happines Index for OECD countries have been investigated using canonical correlation analysis based on both pearson correlation matrix and  MM  covariance estimator. As is known, canonical correlation analysis explores the relationships between two multivariate sets of variables. Findings indicate that there is a strong correlation between Gender Inequality Index and Happines Index. ÖzetToplumsal cinsiyet eşitliği kadınların ve erkeklerin, kız ve erkek çocuklarının eşit hak, sorumluluk ve fırsatlardan yararlanma hakkına sahip oldukları anlamına gelmektedir. Daha çok kadına yönelik cinsiyet eşitsizliği olarak yansıyan cinsiyet eşitsizliği ise kaynaklara ve fırsatlara ulaşmada eşitsizlik, iş hayatı ve siyasette kadının sınırlı olarak yer alması şeklinde tanımlanabilir. Cinsiyet eşitsizliğinin gündelik yaşamdaki yansıması en iyi çiftler arasındaki ilişkilerde ve toplumsal kültürel yapıda gözlenebilmektedir. Toplumsal dinamik olarak önemli bir faktör olan cinsiyet eşitsizliği doğrudan bireylerin mutluluğu ve dolayısıyla toplumun mutluluğu üzerinde oldukça etkilidir. Bu çalışmada OECD ülkelerine ait Cinsiyet eşitsizliği indeksi bileşenleri  ve mutluluk indeksi bileşenleri arasındaki ilişki Pearson korelasyon matrisi ve dayanıklı (robust) MM kovaryans tahmincisine dayalı kanonik korelasyon analizleri ile incelenmiştir. Bilindiği gibi kanonik korelasyon analizi, değişken setleri arasındaki ilişki incelenirken kullanılan bir çok değişkenli analiz tekniğidir. Her iki yaklaşıma göre elde edilen bulgular mutluluk indeksi ve cinsiyet eşitsizliği indeksi arasında güçlü bir ilişkiye işaret etmektedir.

Gamers' Ego Identity Influences Referral Program Involvement

2018 ◽  
Vol 46 (11) ◽  
pp. 1847-1857
Author(s):  
Chia-Wen Lee ◽  
Shih-Hung Cheng ◽  
Genmiao Ma ◽  
Ching Li
Keyword(s):  
Correlation Analysis ◽  
Gender Identity ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Ego Identity ◽  
The Third ◽  
Significant Relationships ◽  
The World ◽  
Program Involvement ◽  
The Relationship

We explored the relationship between referral program involvement and the ego identity of online gamers. We recruited 429 participants who had used the World of Warcraft referral program to recruit a friend. The results revealed significant relationships between referral program involvement and ego identity, and three canonical factors were extracted. The first canonical correlation analysis revealed that higher overall referral program involvement is more likely to catch the attention of online gamers with ego identities that are aimless, disobedient, unsociable, or paranoid. The second canonical correlation analysis suggested that referral program involvement is positively associated with the ego identity factors of being self-willed or paranoid, and negatively associated with those of being aimless, multi-exploring, and having gender identity issues. The third canonical factor showed that those respondents with referral program involvement for exciting, fascinating, and appealing factors are positively associated with ego identity characteristics of liking challenges, being self-willed, and having gender identity issues.

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