scholarly journals Cycling as a Part of Recreation: An Awareness-Exploring Study

2021 ◽  
Vol 7 (3) ◽  
pp. 265
Author(s):  
Merve Uca ◽  
Leyla Alizadehebadi ◽  
Sevim Handan Yılmaz
Keyword(s):  
High School ◽  
Associate Degree ◽  
Continuous Variables ◽  
Pearson’S Correlation ◽  
High School Degree ◽  
The Social ◽  
Self Development ◽  
Social Achievement ◽  
Pearson's Correlation ◽  
Post Hoc

This study aimed to explore the awareness among individuals engaged in recreational cycling about the benefits of cycling. The study consists of 66 participants in the age group of 18-30 who are interested in recreational cycling in the province of Sakarya. The “Recreation Awareness Scale” developed by Ekinci and Özdilek (2019) was used as a data collection tool in the study. In the study, skewness and kurtosis (kurtosis) were evaluated to ensure the normal distribution of the data in addition to descriptive statistical methods such as percentage and frequency. As a result, we found the data to be normally distributed and, thus, utilized the parametric tests. Accordingly, the groups were compared using a t-test and an analysis of variance (ANOVA). In addition, we performed a Tukey test to find out the group(s) as the source of difference. Then, Pearson’s correlation analysis was performed to see the association between two continuous variables. The results revealed that the participants did not differ significantly on pleasure/entertainment, social/achievement, and self-development subscales by gender. Yet, the mean scores of the participants differed significantly on the social/achievement and self-development subscales by educational attainment. The post hoc test suggested that those having a high school degree got significantly higher scores on the social/achievement subscale than the participant with an associate degree. Moreover, the high school graduates obtained higher scores on the self-development subscale than those with a secondary school, associate, and undergraduate degree. Considering the relationship between recreation awareness and age, the Pearson’s correlation test revealed significant positive relationships between age and the participants’ scores on the social/achievement and self-development subscales. Yet, we could not find a significant relationship between age and the pleasure/entertainment subscale.

scholarly journals Influence of climatic variables on the epidemiological situation of dengue in the Ceará- Brazil

2021 ◽  
Vol 10 (12) ◽  
pp. e181101220313
Author(s):  
Selene Maia de Morais ◽  
Silvana Silveira de Farias
Keyword(s):  
Public Health Problem ◽  
The State ◽  
Climatic Variables ◽  
Metropolitan Region ◽  
Pearson’S Correlation ◽  
Average Temperature ◽  
The Social ◽  
Pearson's Correlation ◽  
Average Relative Humidity ◽  
The City

Dengue is a worldwide public health problem; studies show a correlation between dengue and climatic variables. Thus, this research aimed to investigate the correlation of the number of cases of patients with primary dengue symptoms (NCPPDS) with the compensated average temperature (TCA), average precipitation (PA) and compensated average relative humidity (RHCA) for the state of Ceará (2013-2018), in addition to identifying the municipalities most affected by the disease. For this analysis, institutional databases were collected and the data were compiled and processed through Statistical Package for the Social Science software. The association between climatic variables and NCPPDS was made using Pearson's correlation. It was noted that the city of Fortaleza was the municipality most affected by the disease, followed by its metropolitan region. Pearson's correlation was significant and inversely proportional between the NCPPDS and TCA in the years studied. In the NCPPDS analysis and PA, a directly proportional significant correlation was observed in the years 2013, 2017 and 2018. Regarding RHCA during the years 2013, 2015, 2017 and 2018, a directly proportional significant correlation to dengue cases was also observed. These results showed that precipitation and humidity directly influenced the number of dengue cases in the state of Ceará, and in accordance with studies in other Brazilian regions, these findings represent a general picture for dengue spreading.

Scales to Measure Autonomous and Social Achievement Values

1975 ◽  
Vol 36 (1) ◽  
pp. 191-208 ◽  
Author(s):  
D. J. W. Strümpfer
Keyword(s):  
High School ◽  
Factor Analysis ◽  
Achievement Motivation ◽  
Social Value ◽  
Full Time ◽  
Examination Performance ◽  
The Social ◽  
Social Achievement ◽  
Part Time ◽  
Achievement Behavior

Inventory scales were constructed through factor analysis of Bendig's (1964) and Costello's (1967) items and then lengthened through item-analyses on additional items. Split-half and test-retest reliabilities were acceptable. The autonomous value scale correlated with university examination performance, differentiated between part-time and full-time students, was related to attitudes changed by an achievement motivation course for high school underachievers and correlated with inventory scales that converge on achievement behavior; high scorers seem to be highly socialized and have internalized standards of excellence. The social-value scale was not related to achievement behavior but seems to reflect needs for recognition, succorance, and sociability; males found these values socially undesirable, yet obtained higher means than females.

Artistic and methodical culture of a teacher of artistic disciplines: the essence, the principles of self-development

2019 ◽  
pp. 16-21
Author(s):  
Halyna Padalka
Keyword(s):  
High School ◽  
High School Teachers ◽  
School Teachers ◽  
Basic Principles ◽  
Content Structure ◽  
Self Development

The author’s interpretation of the concept «artistic and methodical culture of the teacher of artistic disciplines» is presented in the article, its essence, content, structure and criteria of formation is substantiated. The basic principles of self-development are determined. The importance of the artistic and methodological culture of high school teachers in the improvement and modernization of professional artistic education is revealed

scholarly journals Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Andreas M. Weng ◽  
Julius F. Heidenreich ◽  
Corona Metz ◽  
Simon Veldhoen ◽  
Thorsten A. Bley ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Deep Learning ◽  
Accurate Estimation ◽  
Dice Similarity Coefficient ◽  
Manual Segmentation ◽  
Pearson’S Correlation ◽  
Lung Volumes ◽  
Lung Segmentation ◽  
Pearson's Correlation ◽  
Lung Mri

Abstract Background Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentation of lung images which were scanned by a fast UTE sequence exploiting the stack-of-spirals trajectory can provide sufficiently good accuracy for the calculation of functional parameters. Methods In this study, lung images were acquired in 20 patients suffering from cystic fibrosis (CF) and 33 healthy volunteers, by a fast UTE sequence with a stack-of-spirals trajectory and a minimum echo-time of 0.05 ms. A convolutional neural network was then trained for semantic lung segmentation using 17,713 2D coronal slices, each paired with a label obtained from manual segmentation. Subsequently, the network was applied to 4920 independent 2D test images and results were compared to a manual segmentation using the Sørensen–Dice similarity coefficient (DSC) and the Hausdorff distance (HD). Obtained lung volumes and fractional ventilation values calculated from both segmentations were compared using Pearson’s correlation coefficient and Bland Altman analysis. To investigate generalizability to patients outside the CF collective, in particular to those exhibiting larger consolidations inside the lung, the network was additionally applied to UTE images from four patients with pneumonia and one with lung cancer. Results The overall DSC for lung tissue was 0.967 ± 0.076 (mean ± standard deviation) and HD was 4.1 ± 4.4 mm. Lung volumes derived from manual and deep learning based segmentations as well as values for fractional ventilation exhibited a high overall correlation (Pearson’s correlation coefficent = 0.99 and 1.00). For the additional cohort with unseen pathologies / consolidations, mean DSC was 0.930 ± 0.083, HD = 12.9 ± 16.2 mm and the mean difference in lung volume was 0.032 ± 0.048 L. Conclusions Deep learning-based image segmentation in stack-of-spirals based lung MRI allows for accurate estimation of lung volumes and fractional ventilation values and promises to replace the time-consuming step of manual image segmentation in the future.

scholarly journals Depressive Symptom Trajectories and Early Adult Education and Employment: Comparing Longitudinal Cohorts in Canada and the United States

2021 ◽  
Vol 18 (8) ◽  
pp. 4279
Author(s):  
Anita Minh ◽  
Ute Bültmann ◽  
Sijmen A. Reijneveld ◽  
Sander K. R. van Zon ◽  
Christopher B. McLeod
Keyword(s):  
High School ◽  
Depressive Symptom ◽  
Adult Education ◽  
The United States ◽  
Longitudinal Survey ◽  
National Longitudinal Survey ◽  
Post Secondary ◽  
High School Degree ◽  
The Usa ◽  
Education And Employment

Adolescent depressive symptoms are risk factors for lower education and unemployment in early adulthood. This study examines how the course of symptoms from ages 16–25 influences early adult education and employment in Canada and the USA. Using data from the National Longitudinal Survey of Children and Youth (n = 2348) and the National Longitudinal Survey of Youth 79 Child/Young Adult (n = 3961), four trajectories (low-stable; increasing; decreasing; and increasing then decreasing, i.e., mid-peak) were linked to five outcomes (working with a post-secondary degree; a high school degree; no degree; in school; and NEET, i.e., not in employment, education, or training). In both countries, increasing, decreasing, and mid-peak trajectories were associated with higher odds of working with low educational credentials, and/or NEET relative to low-stable trajectories. In Canada, however, all trajectories had a higher predicted probability of either being in school or working with a post-secondary degree than the other outcomes; in the USA, all trajectory groups were most likely to be working with a high school degree. Higher depressive symptom levels at various points between adolescent and adulthood are associated with working with low education and NEET in Canada and the USA, but Canadians are more likely to have better education and employment outcomes.

scholarly journals Case Study of Anaerobic Digestion Process Stability Detected by Dissolved Hydrogen Concentration

Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 106
Author(s):  
Daniela Platošová ◽  
Jiří Rusín ◽  
Jan Platoš ◽  
Kateřina Smutná ◽  
Roman Buryjan
Keyword(s):  
Anaerobic Digestion ◽  
Correlation Coefficient ◽  
Hydrogen Concentration ◽  
Pearson’S Correlation ◽  
Pearson’S Correlation Coefficient ◽  
Digestion Process ◽  
Short Service Life ◽  
Pearson's Correlation ◽  
Dissolved Hydrogen ◽  
Pearson's Correlation Coefficient

The paper presents the results of a laboratory experiment of mesophilic single-stage anaerobic digestion performed to verify the possibility of early detection of process instability and reactor overload by evaluating the course of dissolved hydrogen concentration of the main intermediate. The digestion process was run in a Terrafors IS rotary drum bioreactor for 230 days. The substrate dosed on weekdays was food leftovers from the university canteen. At an average temperature of 37 °C, an organic loading of volatiles of 0.858 kg m−3 day−1 and a theoretical retention time of 259 days, biogas production of 0.617 Nm3 kg VS−1 was achieved with a CH4 content of 51.7 vol. %. The values of the established FOS/TAC stability indicator ranged from 0.26 to 11.4. The highest value was reached when the reactor was overloaded. The dissolved hydrogen concentration measured by the amperometric microsensor ranged from 0.039–0.425 mg dm−3. Data were statistically processed using Pearson’s correlation coefficient. The correlation of the hydrogen concentration with other parameters such as the concentration of organic acids was evaluated. The value of Pearson’s correlation coefficient was 0.331 and corresponded to a p-value of 0. The results confirmed a very low limit of the hydrogen concentration at which the microbial culture, especially methanogens, was already overloaded. The amperometric microsensor proved to be rather unsuitable for operational applications due to insufficient sensitivity and short service life. The newly designed ratio of dissolved hydrogen concentration to neutralizing capacity was tested but did not work significantly better than the established FOS/TAC stability indicator.

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