scholarly journals Regulation of the functional state of locomotive crew drivers using biofeedback training: factor analysis of experimental data

Doklady BGUIR ◽  
2021 ◽  
Vol 19 (4) ◽  
pp. 28-36
Author(s):  
N. V. Shcherbina
Keyword(s):  
Factor Analysis ◽  
Functional State ◽  
Electrodermal Activity ◽  
Principal Component ◽  
Individual Characteristics ◽  
Biofeedback Training ◽  
Software Complex ◽  
Psychological Service ◽  
Current State ◽  
Personal Qualities

Biofeedback based on electrodermal activity of the skin is used as a method for optimizing the functional state of drivers and assistant drivers of locomotive crews. High-quality inter-trip rest of locomotive crew drivers ensures the preservation of health, labor protection and higher indicators of professionally important psychophysiological qualities necessary for the successful performance of locomotive management activities. The purpose of this work is to determine the nature of the relationship between the relaxation abilities of locomotive crew drivers and their professionally important psychophysiological and personal qualities. The experiment was conducted on the basis of the office of the psychological service of the Motor Car depot in Minsk. A personal computer and the NeuroDog hardware and software complex were used as the equipment for the biofeedback training. A factor analysis of the primary empirical data of subjects who successfully developed the relaxation skill was performed. Factor analysis was carried out using the principal component method and the Varimax method available in the Statistica 10.0 package. The results of the analysis allowed us to determine the structure of psychophysiological and personal qualities of locomotive crew drivers, as well as the degree of their influence on the successful development of relaxation skills. The results obtained will later be used to develop a methodology for training drivers in relaxation skills in accordance with their individual characteristics and algorithms for its implementation in the context of the UPDK-MK hardware and software complex, used by the psychological service of the Belarusian railway to monitor the current state of functional systems of locomotive crew drivers.

scholarly journals Metacognitive Rating Scale: A Study Applying a Korean Translation to Individuals with Schizophrenia

2021 ◽  
Vol 18 (13) ◽  
pp. 6853
Author(s):  
Mihwa Han ◽  
Kyunghee Lee ◽  
Mijung Kim ◽  
Youngjin Heo ◽  
Hyunseok Choi
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Mental Status ◽  
Rating Scale ◽  
Anger Expression ◽  
Principal Component ◽  
Negative Beliefs ◽  
Five Factors ◽  
Metacognitive Beliefs

Metacognition is a higher-level cognition of identifying one’s own mental status, beliefs, and intentions. This research comprised a survey of 184 people with schizophrenia to verify the reliability of the metacognitive rating scale (MCRS) with the revised and supplemented metacognitions questionnaire (MCQ) to measure the dysfunctional metacognitive beliefs of people with schizophrenia by adding the concepts of anger and anxiety. This study analyzed the data using principal component analysis and the varimax method for exploratory factor analysis. To examine the reliability of the extracted factors, Cronbach’s α was used. According to the results, reliability was ensured for five factors: positive beliefs about worry, negative beliefs about uncontrollability and danger of worry, cognitive confidence, need for control, and cognitive self-consciousness. The negative beliefs about uncontrollability and danger of worry and the need for control on anger expression, which were both added in this research, exhibited the highest correlation (r = 0.727). The results suggest that the MCRS is a reliable tool to measure the metacognition of people with schizophrenia.

Computing Robust Principal Components by A* Search

2018 ◽  
Vol 27 (07) ◽  
pp. 1860013 ◽  
Author(s):  
Swair Shah ◽  
Baokun He ◽  
Crystal Maung ◽  
Haim Schweitzer
Keyword(s):  
State Of The Art ◽  
Principal Component ◽  
Low Rank ◽  
A Algorithm ◽  
Running Time ◽  
Current State ◽  
Dimensionality Reduction Technique ◽  
Related Variant ◽  
Low Rank Representation ◽  
The Cost

Principal Component Analysis (PCA) is a classical dimensionality reduction technique that computes a low rank representation of the data. Recent studies have shown how to compute this low rank representation from most of the data, excluding a small amount of outlier data. We show how to convert this problem into graph search, and describe an algorithm that solves this problem optimally by applying a variant of the A* algorithm to search for the outliers. The results obtained by our algorithm are optimal in terms of accuracy, and are shown to be more accurate than results obtained by the current state-of-the- art algorithms which are shown not to be optimal. This comes at the cost of running time, which is typically slower than the current state of the art. We also describe a related variant of the A* algorithm that runs much faster than the optimal variant and produces a solution that is guaranteed to be near the optimal. This variant is shown experimentally to be more accurate than the current state-of-the-art and has a comparable running time.

Use of the Perceived Physical Competence Scale with Adolescents with Disabilities

1995 ◽  
Vol 80 (2) ◽  
pp. 571-577 ◽  
Author(s):  
Taru Lintunen ◽  
Pilvikki Heikinaro-Johansson ◽  
Claudine Sherrill
Keyword(s):  
Gender Differences ◽  
Factor Analysis ◽  
Principal Component ◽  
Principal Component Factor Analysis ◽  
Validity And Reliability ◽  
Varimax Rotation ◽  
Physical Competence ◽  
Related Literature ◽  
Competence Scale ◽  
Two Factors

The construct validity and reliability of the 1987 Perceived Physical Competence Scale of Lintunen were examined to assess the applicability of the instrument for use with adolescents with disabilities. Subjects were 51 girls and 34 boys ( M age = 15.1 yr.) from several schools in central Finland. Principal component factor analysis with varimax rotation yielded the same two factors for adolescents with disabilities as reported for nondisabled adolescents in the related literature. Cronbach alphas for the two factors were .89 and .56. It was concluded that the scale is an appropriate measure for adolescents with disabilities. Statistical analysis indicated no gender differences for adolescents with disabilities. When compared with nondisabled groups in the related literature, these adolescents had perceived fitness similar to nondisabled peers but significantly lower than that of athletes without disabilities.

Developing the Organisational Justice Scale and Examining Teachers' and School Administrators' Views about Organisational Justice in Primary Schools

2021 ◽  
pp. 33-50
Author(s):  
Hasan Basri Memduhoðlu ◽  
Ali Ýhsan Yildiz
Keyword(s):  
Factor Analysis ◽  
Primary Schools ◽  
School Administrators ◽  
Data Gathering ◽  
Principal Component ◽  
Measurement Tool ◽  
Principal Component Factor Analysis ◽  
Reliable Measurement ◽  
Organisational Justice ◽  
Confirmatory Factor

The purpose of this study is to develop a reliable and valid measurement tool to explore views about organisational justice in schools and to examine teachers' and school administrators' views about organisational justice in primary schools. The sample of the study consisted of a total of 455 participants, 176 school administrators and 279 teachers from the primary schools in the Centre of Van. The Organisational Justice Scale, developed by the authors, was employed as data gathering tool. Principal Component Factor Analysis was used to determine the content and construct validities of the scale and Confirmatory Factor Analysis was employed to evaluate the obtained results. As a result of the study, the developed Organisational Justice Scale (OJS) was found to be a valid and reliable measurement tool for school applications.

THE USE OF HEART RATE TELEMETRY FOR DYNAMIC CONTROL OF THE FUNCTIONAL STATE DURING COMPUTER TESTING AND BIOFEEDBACK IN KNOWLEDGE WORKERS

2021 ◽  
Author(s):  
M.M. Nekrasova ◽  
◽  
I.V. Fedotova ◽  
S.A. Polevaya ◽  
Keyword(s):  
Heart Rate ◽  
Functional State ◽  
Work Experience ◽  
Knowledge Workers ◽  
Management Strategies ◽  
Dynamic Control ◽  
The Body ◽  
Biofeedback Training ◽  
Total Power ◽  
Neurohumoral Regulation

Abstract: Introduction. Increasing information loads can lead to the development of professional stress and work-related illnesses in knowledge workers. The development and implementation of modern methods of control and correction of the functional state of employees in the conditions of activity is relevant. The study aims – to explore the dynamics of the functional state of knowledge workers in the conditions of modeling the cognitive load on the computer and during the training on neurofeedback (NFB) based on the parameters of the electroencephalogram (EEG). Materials and methods. 17 researchers (4 men and 13 women aged 22-63 years (34.8±3.4), with an average work experience of 12.1±3.3 years) participated in the study on the basis of voluntary informed consent. Results. A significant increase in the index of the alpha rhythm was shown by 29.4% of the subjects. It was found that the total power of the spectrum of heart rate variability (HRV) is higher, the adaptive risk is lower in the group that successfully passed alpha training (p<0.05). According to the results of continuous personalized heart rate telemetry, the dynamics of the functional state (FS) during the examination was determined for each subject. Conclusion. A significant influence of the state of neurohumoral regulation systems and adaptive reserves of the body on the success of the biofeedback training was established, which is the basis for the development of methodological approaches to the correction of FS, taking into account individual optimal management strategies.

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