scholarly journals The Prediction of Atherosclerosis Index Based on Photoplethysmograph

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yibing Li ◽  
Fei Xie ◽  
Xiaoye Ren ◽  
Fenyun Cao
Keyword(s):  
Correlation Coefficient ◽  
Pulse Wave ◽  
Pearson Correlation ◽  
Stiffness Index ◽  
Reflection Index ◽  
Study Results ◽  
The Right ◽  
Bp Neural Network Model ◽  
The Relationship ◽  
Coefficient Method

Current atherosclerosis (AS) assessment devices have a disadvantage for users to carry around. In response to this shortcoming, we propose to collect the wrist photoplethysmograph (PPG) signal and create models to predict the indicators of atherosclerosis (cardiovascular age and right brachial and ankle pulse wave velocity (baPWV)). This study uses the maximum correlation coefficient method for feature selection and establishes multiple models to predict cardiovascular age and the right baPWV. The study results show that the prediction of cardiovascular age using the backpropagation (BP) neural network model is the best. Its Pearson correlation coefficient (PCC) is 0.9501 ( P < 0.05 ), and the model finds the best six physiological features as crest time (CT), crest time ratio (CTR), slop K, stiffness index (SI), reflection index (RI), and heart rate (HR). When predicting the right baPWV value on the right side, we propose a hybrid method MLR_BP, which has better experimental results than BP and MLR. The MLR_BP model improves the prediction accuracy, the predicted PCC value is 0.9204 ( P < 0.05 ), and the model only needs two features, HR and cardiovascular age. This study further verified the results of related literature and proved the relationship between AS and related physiological parameters. The proposed method is applied to wearable devices and has an application value for diagnosing AS and preventing cardiovascular diseases.

scholarly journals Relationship between Psychological Empowerment and Spiritual Intelligence with Marital Satisfaction in Female and Male Teachers in Ahvaz

2016 ◽  
Vol 12 (6) ◽  
pp. 132 ◽  
Author(s):  
Zahra Kordzangeneh ◽  
Hamdollah Jayervand
Keyword(s):  
Marital Satisfaction ◽  
Sampling Method ◽  
Psychological Empowerment ◽  
Pearson Correlation ◽  
Spiritual Intelligence ◽  
Step Method ◽  
Male And Female ◽  
Female Teachers ◽  
The Relationship ◽  
Coefficient Method

<p>The present study was aimed to examine the relationship between psychological empowerment and spiritual intelligence with marital satisfaction in male and female teachers in Ahvaz from 2014 to 2015. Hence, 350 teachers were selected using random-stratified sampling method. Research tools were Spriters' psychological empowerment questionnaire (1995), Badie's et al. spiritual intelligence questionnaire (2010), Enrich's marital satisfaction questionnaire (1997); in order to do analysis, a Pearson Correlation Coefficient method and a regression method was used. Results showed that there is a relationship between psychological empowerment and spiritual intelligence with marital satisfaction in male and female teachers in Ahvaz. The results obtained from multi-fold regression analysis, using step-by-step method, showed that effectiveness, spiritual intelligence, and significance are able to predict marital satisfaction significantly. In addition, psychological empowerment has a closer relationship with spiritual intelligence, and spiritual intelligence has a closer relationship with marital satisfaction. </p>

scholarly journals The unbiased estimation of r2 between two sets of noisy neural responses

2021 ◽  
Author(s):  
Dean Pospisil ◽  
Wyeth A Bair
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Unbiased Estimation ◽  
Pearson Correlation Coefficient ◽  
Neural Responses ◽  
Neural Data ◽  
Tuning Curves ◽  
The Relationship

The Pearson correlation coefficient squared, r2, is often used in the analysis of neural data to estimate the relationship between neural tuning curves. Yet this metric is biased by trial-to-trial variability: as trial-to-trial variability increases, measured correlation decreases. Major lines of research are confounded by this bias, including the study of invariance of neural tuning across conditions and the similarity of tuning across neurons. To address this, we extend the estimator, r̂2ER, developed for estimating model-to-neuron correlation to the neuron-to-neuron case. We compare the estimator to a prior method developed by Spearman, commonly used in other fields but widely overlooked in neuroscience, and find that our method has less bias. We then apply our estimator to the study of two forms of invariance and demonstrate how it avoids drastic confounds introduced by trial-to-trial variability.

scholarly journals Influences of Participation Motivation and Satisfaction of Nursing Students on Continuance Willingness of Voluntary Activities

2018 ◽  
Vol 24 (4) ◽  
pp. 415-423
Author(s):  
Ya Ki Yang
Keyword(s):  
Nursing Students ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Educational Programs ◽  
Descriptive Statistics ◽  
Pearson Correlation Coefficient ◽  
Factors Influencing ◽  
Participation Motivation ◽  
Positive Correlations ◽  
The Relationship

Purpose: This study was done to examine the relationship between participation motivation, satisfaction and continuance willingness of voluntary activities of nursing students, and to identify factors influencing continuance willingness of voluntary activities. Methods: The research participants were 175 nursing students in the nursing departments of 3 universities located in G city and J province in Korea. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and multiple regression. Results: Participants' scores for participation motivation, satisfaction and continuance willingness of voluntary activities were $3.24{pm}0.76$, $3.11{pm}0.83$ and $3.03{pm}0.85$ respectively. Participation motivation and satisfaction of voluntary activities had positive correlations. Satisfaction and continuance willingness of voluntary activities had positive correlations. Factors influencing nursing students' continuance willingness of voluntary activities included participation motivation and satisfaction of voluntary activities. And these variables explained 74% of the variance in continuance willingness of voluntary activities. Conclusion: The findings show that development and application of educational programs to increase participation motivation and satisfaction of voluntary activities are important and will improve nursing students' continuance willingness of voluntary activities.

scholarly journals Relationship Between Teachers Leadership Styles and Students Academic Achievement

2019 ◽  
Vol IV (IV) ◽  
pp. 360-366
Author(s):  
Abdur Rashid ◽  
Roohul Amin ◽  
Shabir Ahmad
Keyword(s):  
Academic Achievement ◽  
Academic Success ◽  
Leadership Styles ◽  
Teacher Leadership ◽  
School Effectiveness ◽  
Pearson Correlation ◽  
Study Results ◽  
Study Population ◽  
The University ◽  
The Relationship

Leadership styles play an important role and position in pedagogical activities and school effectiveness because they play a major role in the learning process. The current study looked at the relationship between teacher leadership styles (including democratic, autocratic, transformational and transactional) and student academic achievement at the university level. Head of the Departments of Social Sciences and Master degree students made up the study population. Twenty-nine Heads of Departments (HODs) and two hundred and six students from five public sector universities in Khyber Pakhtukhawa were selected through simple random and stratified (proportionate) sampling techniques. Data was collected through a questionnaire, the reliability co-efficient of which was 0.72 and 0.82 for HODs and students respectively. The data collected was analyzed using Mean, Standard Deviation and Pearson Correlation. The study results indicate that teacher leadership styles are strongly linked to student academic success

THE RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND LEADERSHIP IN STUDENTS

2021 ◽  
Vol 66 (1) ◽  
pp. 62-68
Author(s):  
K.M. Mukusheva ◽  
◽  
N.S. Tlenchieva ◽  
Keyword(s):  
Emotional Intelligence ◽  
Statistical Analysis ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Leadership Skills ◽  
Pearson Correlation Coefficient ◽  
Professional Orientation ◽  
Experimental Part ◽  
Psychological Science ◽  
The Relationship

This article examines emotional intelligence and its relationship with leadership, one of the most striking, unusual phenomena in modern psychological science. Emotional intelligence and leadership skills are important for students, as this affects such important aspects of the personality as future life, professional orientation, and the communication field. The article is based on the works of Daniel Goleman on the relationship between emotional intelligence and a person's desire to achieve their goals and is devoted to the study of these theories on the example of students in Kazakhstan. The article provides a scientific overview of the concepts of leadership and emotional intelligence in general and presents the results of empirical research conducted using special techniques. The Pearson correlation coefficient was used for summing up the results of the study and mathematical and statistical analysis of the relationship. The experimental part of this work is of practical value.

The Relationship Between COVID-19 (Cases and Deaths) and Stock Markets

2021 ◽  
pp. 323-341
Author(s):  
Paulo Ferreira ◽  
Éder Pereira
Keyword(s):  
Shock Waves ◽  
Dynamic Analysis ◽  
Correlation Coefficient ◽  
Stock Markets ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
The World ◽  
Negative Effect ◽  
The Relationship ◽  
Second Wave

The numbers of COVID-19 increase daily, both confirmed cases and deaths. All over the world, shock waves are felt with impacts on economies in general and the financial sector in particular. Aiming to assess the relationship between confirmed cases and deaths and the behaviour of stock markets, the authors perform a dynamic analysis, based on the Pearson correlation coefficient, for 10 of the most affected countries in the world. As expected, they find evidence that the number of COVID-19 cases had a negative effect on stock markets, and that the current second wave is penalizing them. They also find that deaths have a more relevant impact than the number of confirmed cases.

Evaluation of Cultural Intelligence in Staff of Industries, Mines and Trades Organizations - Case Study

2017 ◽  
pp. 429-438
Author(s):  
Mohammad Abdolshah ◽  
Baranak Geranfar ◽  
Eisa Akbari ◽  
Jalil Vaziri
Keyword(s):  
Organizational Culture ◽  
Correlation Coefficient ◽  
Cultural Intelligence ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Statistical Population ◽  
Key Competencies ◽  
The Relationship ◽  
Personnel Department

This article examines one of the key competencies of the 21st century known as cultural intelligence (CQ). This study investigates the relationship between CQ, organizational culture, and the effectiveness of staff in the industry, mine, and trade organizations of Semnan province in Iran. Using correlational analysis, the statistical population includes a total of 103 people from 141 employees based on personnel department documents. Three questionnaires were used to measure the variables and descriptive and deductive statistics were applied to evaluate and analyze the data. The Pearson correlation coefficient and multivariate regression were used in deductive statistics to obtain the results. The findings show there is a significant relationship between CQ, organizational culture, and effectiveness. Among four cultural intelligence factors, only the knowledge of CQ can predict the effectiveness. The calculated correlation coefficient indicates that the creativity factors and communication pattern have the highest correlation coefficients.

Statistical Analysis of Standard Allowed Minute on Sewing Efficiency in Apparel Industry

2020 ◽  
Vol 20 (4) ◽  
pp. 359-365 ◽  
Author(s):  
Mulat Alubel Abtew ◽  
Annu Kumari ◽  
Ambika Babu ◽  
Yan Hong
Keyword(s):  
Pearson Correlation ◽  
Production Capacity ◽  
Product Category ◽  
Apparel Industry ◽  
Basic Product ◽  
Limited Company ◽  
Expected Outcome ◽  
Spss Software ◽  
The Relationship ◽  
Coefficient Method

AbstractApparel industry is not only one of the oldest, largest, labor-intensive, and most global industries but also the typical “starter” industry for countries engaged in export-orientated industrialization. To achieve such dreams, the industry has looked over different inter-dependable factors while producing different products. In this study, an effort has been made to establish a correlation between standard allowed minutes (SAMs) and efficiency of sewing section using different variables, including production rate, number of workstations, and operation breakdown, having a differential impact on both the selected variables. All the empirical analyses were planned in a vertically integrated textile company called Almeda Textile Private Limited Company (PLC), Ethiopia, starting from the basic product category (such as V-neck shirt) up to complicated workwear including military clothing and federal police uniforms of Ethiopia. The Pearson correlation coefficient method was chosen to find the relationship between bivariate linearly scaled variables using Statistical Package for Social Science (SPSS) software. The expected outcome will help in identifying the type of correlation and its significant level as well as its impact on the overall productivity of the sewing section which eventually leads to fulfilling the mission of attaining sustainable production capacity of the mentioned vertically integrated manufacturing company.

scholarly journals Smartphone Application with Virtual Reality Goggles for the Reliable and Valid Measurement of Active Craniocervical Range of Motion

Diagnostics ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 71 ◽  
Author(s):  
Ke-Vin Chang ◽  
Wei-Ting Wu ◽  
Mei-Chu Chen ◽  
Yi-Chi Chiu ◽  
Der-Sheng Han ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Range Of Motion ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Random Effect Model ◽  
Altman Plot ◽  
Rater Reliability ◽  
Hybrid Device ◽  
Flexion Extension ◽  
The Right

Objective: This study aimed to determine the intra-rater and inter-rater reliability and validity of a hybrid device, combining virtual reality goggles, a magnetometer and an inclinometer application for smartphones, to measure craniocervical range. Summary of Background Data: Accurate evaluation of craniocervical range of motion is important for early detection of certain diseased conditions and monitoring the progress of interventions. The universal goniometer is widely used for the measurement but it requires experienced practitioners. Whether a combination of virtual reality goggles and smartphone applications can provide the same or better performance compared with the goniometer is still unknown. Methods: Forty-one healthy adults from the department of physical medicine and rehabilitation were recruited for craniocervical range examination (flexion, extension, side-bending to the right or left and rotating to the right or left) by using the hybrid device and universal goniometer. Using the hybrid device, repeated measurements were performed twice by a primary rater and once by a second rater. The primary rater also conducted a measurement using the universal goniometer in the same cohort. The intra-rater and inter-rater reliability (intra-class correlation coefficient (ICC)) were calculated using the two-way random effect model, whereas the validity was examined by the Pearson correlation coefficient and Bland-and-Altman plot. The interval between the first and second sessions of the measurement for intra-rater reliability was set at 30 min. Results: Excellent intra-rater (ICC ≥ 0.925) and inter-rater (ICC ≥ 0.880) reliability was noted for the hybrid device. The minimal detectable changes from intra-observer and inter-observer comparisons ranged between 4.12° and 7.42° in all six directions. The Bland-and-Altman plot revealed small mean differences (≤1.68°) between the hybrid device and universal goniometer. Both instruments had highly correlated measurements of craniocervical motion (r values ≥ 0.918). Conclusion: For healthy participants, excellent intra-rater and inter-rater reliability was noted for the hybrid device, and the measurements were consistent with the universal goniometer measurements. Future studies are needed to examine whether the device can perform similarly for patients with neck disorders.

Sign in / Sign up

Export Citation Format

Share Document