scholarly journals Characterization of Leg Push Forces and Their Relationship to Velocity in On-Water Sprint Kayaking

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6790
Author(s):  
Kent K. Klitgaard ◽  
Hans Rosdahl ◽  
Rene B. K. Brund ◽  
John Hansen ◽  
Mark de Zee
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Maximum Velocity ◽  
Explanatory Model ◽  
P Value ◽  
Maximal Velocity ◽  
Leg Extension ◽  
Extension Force ◽  
Force Characteristics ◽  
Stroke Cycle

The purpose of this work was to describe the leg-muscle-generated push force characteristics in sprint kayak paddlers for females and males on water. Additionally, the relationship between leg pushing force characteristics and velocity was investigated. Twenty-eight paddlers participated in the study. The participants had five minutes of self-chosen warm-up and were asked to paddle at three different velocities, including maximal effort. Left- and right-side leg extension force were collected together with velocity. Linear regression analyses were performed with leg extension force characteristics as independent variables and velocity as the dependent variable. A second linear regression analysis investigated the effect of paddling velocity on different leg extension force characteristics with an explanatory model. The results showed that the leg pushing force elicits a sinus-like pattern, increasing and decreasing throughout the stroke cycle. Impulse over 10 s showed the highest correlation to maximum velocity (r = 0.827, p < 0.01), while a strong co-correlation was observed between the impulse per stroke cycle and mean force (r = 0.910, p < 0.01). The explanatory model results revealed that an increase in paddling velocity is, among other factors, driven by increased leg force. Maximal velocity could predict 68% of the paddlers’ velocity within 1 km/h with peak leg force, impulse over 10 s, and stroke rate (p-value < 0.001, adjusted R-squared = 0.8). Sprint kayak paddlers elicit a strong positive relationship between leg pushing forces and velocity. The results confirm that sprint kayakers’ cyclic leg movement is a key part of the kayaking technique.

scholarly journals Reduced left atrial strain in magnetic resonance imaging is associated with abnormal P-waves in patients after acute myocardial infarction

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
M Wester ◽  
J Pec ◽  
C Fisser ◽  
K Debl ◽  
O Hamer ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Linear Regression ◽  
Left Atrial ◽  
Regression Models ◽  
Linear Regression Analysis ◽  
P Wave ◽  
P Value ◽  
Linear Regression Models ◽  
The Relationship

Abstract Funding Acknowledgements Type of funding sources: Public hospital(s). Main funding source(s): ReForM-B-Program Background Abnormal P-wave terminal force in lead V1 (PTFV1) is associated with atrial remodeling. The relationship between PTFV1 and atrial function after acute myocardial injury is insufficiently understood and may be elucidated by detailed feature tracking (FT) strain analysis of cardiac magnetic resonance images (CMR). Purpose We investigated the relationship between PTFV1 and left atrial (LA) strain (measured by CMR) in a patient cohort presenting with acute myocardial infarction (MI). Methods 56 patients with acute MI underwent CMR within 3-5 days after MI. PTFV1 was measured as the product of negative P-wave amplitude and duration in lead V1 (Fig. A). A PTFV1 &gt;4000 ms*µV was defined as abnormal. CMR cine data were retrospectively analyzed using a dedicated FT software. LA strain (ε) and strain rate (SR) for atrial reservoir ([εs]; [SRs]), conduit ([εe]; [SRe]) and booster function ([εa]; [SRa]) were measured in two long-axis views (Fig. A). Results Patients with abnormal PTFV1 had significantly reduced LA conduit function εe and SRe (Fig. B + D). There was a significant negative correlation between the extent of PTFV1 and both εe and SRe (Fig. C + E). In univariate and multivariate regression models, both PTFV1 and age predicted atrial conduit function. In contrast, multiple clinical co-factors had no significant influence on εe (Table). Interestingly, linear regression models revealed only mild dependency of PTFV1 on conventional parameters of cardiac function such as left ventricular ejection fraction (p = 0.059; R²(adj.)=0.047), and no dependency on structural parameters such as LA area (p = 0.639; R²(adj.)=0.016), or LA fractional area change (p = 0.825; R²(adj.)=0.020). Conclusion Abnormal PTFV1 was associated with reduced LA function independent from numerous clinical co-factors in patients presenting with acute myocardial infarction. Table N = 56 Linear Regression Analysis Multiple Linear Regression Analysis (R2 (adj.)=0.376, p = 0.016) Variable B 95% CI P value R2 (adj.) B 95% CI P value PTFV1 [µV*ms] -1.628 17085.298 to 27210.854 0.013 0.092 -1.315 -2.614 to -0.016 0.047 Age [y] -425.775 24985.168 to 54634.995 0.002 0.145 -610.815 -982.78 to -238.849 0.001 Body mass indes [kg/m2] -185.653 -3259.187 to 47020.775 0.671 -0.015 -506.096 -1327.357 to 315.165 0.219 Creatinine kinase [U/l] -1.571 14806.991 to 24842.272 0.121 0.027 -1.791 -3.72 to 0.138 0.067 Male sex -893.28 10701.206 to 23504.066 0.802 -0.017 4275.631 -3842.517 to 12393.78 0.292 Estimated glomerular filtration rate [ml/min/1.73m2] 88.617 -4564.177 to 21395.361 0.202 0.012 -163.981 -331.343 to 3.381 0.054 Systolic blood pressure [mmHg] -2.001 14045.786 to 22037.253 0.095 0.038 29.331 -108.243 to 166.906 0.668 nt-pro brain natriuretic peptide [pg/ml] 24.629 -4060.804 to 30920.828 0.716 -0.016 1.015 -1.778 to 3.809 0.466 Univariate and multivariate linear regression models for left atrial conduit strain Abstract Figure

scholarly journals Performance Model of Nurse Community Approach to Organizational Culture in Indonesia

2016 ◽  
Vol 5 (3) ◽  
pp. 240
Author(s):  
Suhartono Suhartono ◽  
Sulistiawati Sulistiawati ◽  
Esty Yunitasari
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Organizational Factors ◽  
Cultural Factors ◽  
Performance Model ◽  
Individual Factors ◽  
P Value ◽  
Simple Linear Regression ◽  
Cross Sectional

National problem faced by Indonesia today is the handling of the low quality of Human Resources (HR). HR issues that need attention is the issue of performance. Performance is the rate of success in carrying out the task, as well as the ability to achieve the goals set. The aim of this study was to determine the influence of individual factors, organizational factors, organizational and cultural factors on the Performance of Nurses. This study used a cross sectional study approach. The population used in this study were nurses ponkesdes Tuban and Lamongan district in accordance with the inclusion criteria as much as 55, with a sample size of 48 respondents specified research using simple random sampling technique. The independent variable in this study is the individual factors (abilities and skills), organizational cultural factors and organizational factors, dependent variable is the performance of nurse ponkesdes. Instruments used in the collection of data in the form of questionnaires and performance evaluation sheet. Research analysis using simple linear regression test. Simple linear regression analysis showed variable organizational cultural factors were not statistically significant effect on the performance of the p-value (0.000), organizational factors also significantly influence the performance of the pvalue (0.027). While the variable factors of individual (skills and abilities) does not significantly influence the performance<br />of the p-value (0.103).

scholarly journals ANALYSIS OF RELATIONSHIP BETWEEN LEADERSHIP STYLES AND EMPLOYEE ENGAGEMENT

2019 ◽  
Vol 2 (1) ◽  
pp. 107-114
Author(s):  
Anton Vorina ◽  
Tina Ojsteršek
Keyword(s):  
Linear Regression ◽  
Leadership Styles ◽  
Employee Engagement ◽  
Leadership Style ◽  
Linear Regression Analysis ◽  
P Value ◽  
Significance Level ◽  
Face To Face ◽  
Dummy Variable ◽  
Significant Difference

This paper examines the correlation between leadership styles and employee engagement. For the purpose of our research, we have used a random sample of 594 respondents who are employed in both the public and the private sector in Slovenia. The main goal of the research is to contribute to the understanding of how one independent variable (X1- a Dummy variable for Leadership style; X1= 0 mostly or over 50% of the leaders use the autocratic style of leadership; X1= 1 otherwise) impacts the Y variable (employee engagement). Online surveys combined with face-to-face as well as online interviews were carried out from 4 January to 14 March 2016. For statistical analysis, IBM SPSS 20 has been used and linear regression analysis applied. Based on the linear regression F (1, 586) =1.786, p-value = 0.182, R-square = 0.003), we have found out that there is not any statistically significant (at the 5% significance level) correlation between leadership style and employee engagement. We have also come to a conclusion that autocratic style is mainly used in employee management by Slovenian leaders. Moreover, there is no statistically significant difference at the 5% significance level in leadership styles that are used between genders.

scholarly journals Performance Model of Nurse Community Approach to Organizational Culture in Indonesia

2016 ◽  
Vol 5 (3) ◽  
pp. 240
Author(s):  
Suhartono Suhartono ◽  
Sulistiawati Sulistiawati ◽  
Esty Yunitasari
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Organizational Factors ◽  
Cultural Factors ◽  
Performance Model ◽  
Individual Factors ◽  
P Value ◽  
Simple Linear Regression ◽  
Cross Sectional

<p>National problem faced by Indonesia today is the handling of the low quality of Human Resources (HR). HR issues that need attention is the issue of performance. Performance is the rate of success in carrying out the task, as well as the ability to achieve the goals set. The aim of this study was to determine the influence of individual factors, organizational factors, organizational and cultural factors on the Performance of Nurses. This study used a cross sectional study approach. The population used in this study were nurses ponkesdes Tuban and Lamongan district in accordance with the inclusion criteria as much as 55, with a sample size of 48 respondents specified research using simple random sampling technique. The independent variable in this study is the individual factors (abilities and skills), organizational cultural factors and organizational factors, dependent variable is the performance of nurse ponkesdes. Instruments used in the collection of data in the form of questionnaires and performance evaluation sheet. Research analysis using simple linear regression test. Simple linear regression analysis showed variable organizational cultural factors were not statistically significant effect on the performance of the p-value (0.000), organizational factors also significantly influence the performance of the pvalue (0.027). While the variable factors of individual (skills and abilities) does not significantly influence the performance of the p-value (0.103).</p>

scholarly journals An Insight of Linear Regression Analysis

2018 ◽  
Vol 15 (2) ◽  
pp. 1
Author(s):  
Set Foong Ng ◽  
Yee Ming Chew ◽  
Pei Eng Chng ◽  
Kok Shien Ng
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Hypothesis Testing ◽  
Linear Regression Analysis ◽  
Testing Procedure ◽  
Coefficient Of Determination ◽  
P Value ◽  
Hypothesis Testing Procedure ◽  
Independent Variable

Regression models are developed in various field of applications to help researchers to predict certain variables based on other predictor variables. The dependent variables in the regression model are estimated by a number of independent variables. Model utility test is a hypothesis testing procedure in regression to verify if there is a useful relationship between the dependent variable and the independent variable. The hypothesis testing procedure that involves p-value is commonly used in model utility test. A new technique that involves coefficient of determination R2 in model utility test is developed in this paper. The effectiveness of the model utility test in testing the significance of regression model is evaluated using simple linear regression model with the significance level α = 0.01, 0.025 and 0.05. The study in this paper shows that a regression model that is declared to be a significant model by using model utility test, however it fails to guarantee a strong linear relationship between the independent variable and dependent variable. Based on the evaluation presented in this paper, it is shown that the p-value approach in model utility test is not a good technique in evaluating the significance of a regression model. The results of this study could serve as a reference for other researchers applying regression analysis in their studies. 

scholarly journals The Effect of Joining Non-Formal Education and English Achievement

2019 ◽  
Vol 4 (1) ◽  
pp. 15-21
Author(s):  
Sherly Marliasari ◽  
Riris Oktaviani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Quantitative Research ◽  
Formal Education ◽  
Linear Regression Analysis ◽  
Second Grade ◽  
P Value ◽  
Pearson Product Moment Correlation ◽  
Second Grade Students ◽  
English Achievement

The study aims to investigate the correlation between joining non-formal education and the English achievement of the second-grade students of SMA Negeri 2 Palembang. The problems of this study were: Is there any correlation between joining non-formal education and English achievement of the second-grade students of SMA Negeri 2 Palembang? And What does taking an English course gives impact toward English achievement of the second-grade students of SMA Negeri 2 Palembang? The method of this study used quantitative research. The total number of the sample was 52 students. The questionnaire and document were used to collect the data which were analyzed by using Pearson Product Moment correlation and Linear Regression analysis. The findings showed that: (1) there was a significant correlation between joining non-formal education and English achievement (r= .845), (2) there was a significant impact of taking English courses and students' English achievement (p-value= .000).

scholarly journals Employee’s productivity at the operation of indonesian railway

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Muhammad Alkirom Wildan
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
P Value ◽  
Workplace Environment

This research was designed to study the effect of physical workplace environment and non physical workplace environment towards employee’s productivity. This work was conducted at the Indonesian Railway Corp. operation district 8. The population of this research was 250 employees and the sample was determined using slovin’s equation with the size 71 employees. The data was taken using questionare. The linear regression analysis was employed to analyze the partial and simultan effect of effect of physical workplace environment and non physical workplace environment towards employee’s productivity. According to the statistical analysis conducted using SPSS 18, the p-Value of variable physical workplace environment and non physical workplace environment was 0.013 and 0.036 respectively, both were less than 0.05, then it can be concluded that physical workplace environment and non physical workplace environment significantly and partially affected employee’s productivity, while the Fcount was 14.831 and its p-Value was 0.000 (<0.05) indicated that physical workplace environment and non physical workplace environment simultanously affected employee’s productivity. The regression coificient (R2) was 0.504 or 50.4 %, so it can be indicated that physical workplace environment and non-physical workplace environment simultanously affected employee’s productivity about 50.4%, and about 49.6% might be affected by other variables.

An Insight of Linear Regression Analysis

2018 ◽  
Vol 15 (2) ◽  
pp. 1
Author(s):  
Set Foong Ng ◽  
Yee Ming Chew ◽  
Pei Eng Chng ◽  
Kok Shien Ng
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Hypothesis Testing ◽  
Linear Regression Analysis ◽  
Testing Procedure ◽  
Coefficient Of Determination ◽  
P Value ◽  
Hypothesis Testing Procedure ◽  
Independent Variable

Regression models are developed in various field of applications to help researchers to predict certain variables based on other predictor variables. The dependent variables in the regression model are estimated by a number of independent variables. Model utility test is a hypothesis testing procedure in regression to verify if there is a useful relationship between the dependent variable and the independent variable. The hypothesis testing procedure that involves p-value is commonly used in model utility test. A new technique that involves coefficient of determination R2 in model utility test is developed in this paper. The effectiveness of the model utility test in testing the significance of regression model is evaluated using simple linear regression model with the significance level α = 0.01, 0.025 and 0.05. The study in this paper shows that a regression model that is declared to be a significant model by using model utility test, however it fails to guarantee a strong linear relationship between the independent variable and dependent variable. Based on the evaluation presented in this paper, it is shown that the p-value approach in model utility test is not a good technique in evaluating the significance of a regression model. The results of this study could serve as a reference for other researchers applying regression analysis in their studies.

P1671Subclinical persistent hemolysis may affect late renal function deterioration after HeartMateII implantation

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Iwasaki ◽  
O Seguchi ◽  
H Mochizuki ◽  
Y Kimura ◽  
Y Kumai ◽  
...  
Keyword(s):  
Renal Function ◽  
Regression Analysis ◽  
Linear Regression ◽  
Pulse Pressure ◽  
Linear Regression Analysis ◽  
Parameter Estimate ◽  
Multivariate Linear Regression ◽  
P Value ◽  
Multivariate Linear Regression Analysis ◽  
Renal Function Deterioration

Abstract Background Late renal function dysfunction is an increasingly recognized complication in continuous flow left ventricular assist device (CF-LVAD) patients. Although hemolysis is prevalent in CF-LVAD patients and hemolysis may deteriorate renal function, the influence of persistent hemolysis on renal function in CF-LVAD patients remains to be investigated. Purpose To investigate the influence of persistent hemolysis on renal function in CF-LVAD patients, using lactate dehydrogenase (LDH) as a sensitive marker of hemolysis. Methods Excluding patients who died or underwent pump exchange for pump thrombosis, we retrospectively reviewed 65 consecutive adults who underwent HeartMateII implantation in our center from May 2011 to October 2017. Patient characteristics, chronotropic change of estimated glomerular filtration rate (eGFR) and LDH values weekly for 4 weeks and every 4 weeks between 4 and 48 weeks after implantation were collected. Then, calculating mean LDH during 48 weeks after implantation, study population was divided into low and high mean LDH groups at the median value of mean LDH. Results The median value of mean LDH was 304 U/l. Compared with low LDH patients, though high LDH patients were more likely female and had smaller body surface area, there were no significant difference in pre-operative eGFR between the groups (66.0±23.7 vs. 70.2±25.7 ml/min/1.73m2, p=0.495). After 40 weeks after implantation, high LDH patients had significantly lower eGFR than low LDH patients (71.0±23.7 vs. 87.1±31.4 ml/min/1.73m2, p=0.024). In multivariate linear regression analysis, mean LDH [parameter estimate: −0.10 (95% CI: −0.17 to −0.04), p=0.003] and post-operative pulse pressure [parameter estimate: 0.71 (95% CI: 0.05 to 1.37), p=0.036] were significantly associated with eGFR change during 48 weeks after HeartMateII implantation. Univariate and multivariate linear regression analysis for eGFR change Univariate parameter estimate 95% CI p value Multivariate parameter estimate 95% CI p value Bilirubin, mg/dl 9.97 3.82 to 16.13 0.002 6.55 −0.43 to 13.53 0.065 BNP, pg/ml 0.01 0.00 to 0.02 0.044 0.00 −0.01 to 0.01 0.528 Mean LDH during 4 to 48 weeks, U/l −0.11 −0.18 to −0.05 <0.001 −0.10 −0.17 to −0.04 0.003 Pre-operative right atrial pressure, mmHg 1.43 0.35 to 2.51 0.010 −0.06 −1.52 to 1.40 0.935 Post-operative pulse pressure, mmHg 0.77 0.03 to 1.52 0.042 0.71 0.05 to 1.37 0.036 Conclusions High mean LDH and low pulse pressure were associated with a significant decrease in eGFR late after HeartMateII implantation. Subclinical persistent hemolysis may be associated with late renal function deterioration in CF-LVAD patients.

scholarly journals PENGARUH LINGKUNGAN KERJA DAN KEPEMIMPINAN TERHADAP KEPUASAN KERJA KARYAWAN DI PT. LAHAN REZEKI KABUPATEN KUNINGAN

2021 ◽  
Vol 8 (2) ◽  
pp. 85
Author(s):  
Ariq Saeful Rochmaan Nurhidayat ◽  
Sandi Nasrudin Wibowo
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Linear Regression ◽  
Work Environment ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
P Value ◽  
Employee Job Satisfaction ◽  
Saturated Sample

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh lingkungan kerja dan kepemimpinan terhadap kepuasan kerja karyawan di PT. Lahan Rezeki Kabupaten Kuningan. Populasi dalam penelitian ini adalah semua karyawan di PT. Lahan Rezeki. Teknik pengambilan sampel dalam penelitian ini menggunakan sampel jenuh. Sampel dalam penelitian ini sebanyak 55 orang responden. Metode dalam pengumpulan data ini menggunakan kuesioner, sedangkan metode dalam penelitian ini menggunakan analisis regresi linear berganda. Hasil penelitian ini menunjukan bahwa lingkungan kerja berpengaruh positif dan signifikan. Hal ini dibuktikan dengan nilai p-value (sig) < 0,05 yaitu 0,040 < 0,05 dan nilai thitung > ttabel yaitu 2,107 > 2,0057 sehingga dapat disimpulkan bahwa variabel berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan. Kepemimpinan berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan. Hal ini dibuktikan dengan nilai p-value (sig) < 0,05 yaitu 0,000 < 0,05 dan nilai thitung > ttabel yaitu 9,267 > 2,0057 sehingga dapat disimpulkan bahwa variabel berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan. Lingkungan kerja dan kepemimpinan berprngaruh positif dan signifikan terhadap kepuasan kerja karyawan. Hal ini dibuktikan dengan nilai p-value (sig) < 0,05 yaitu 0,000 < 0,05 dan nilai fhitung > ftabel yaitu 44,565 > 3,28 sehingga dapat disimpulkan bahwa kedua variabel berpengaruh positif dan signifikan terhadap kepuasan kerja karyawan.. Kata-kata Kunci: lingkungan kerja; kepemimpinan; kepuasan kerja karyawan The Influence of Work Environment and Leadership on Employee Job Satisfaction at PT.Lahan Rezeki Kuningan Regency ABSTRACT This study aims to determine the effect of work environment and leadership on employee job satisfaction at PT.Lahan Rezeki Kuningan Regency. The population in this study were all employees at PT. Sustenance Land. The sampling technique in this study used a saturated sample. The sample in this study were 55 respondents. The method in collecting this data uses a questionnaire, while the method in this study uses multiple linear regression analysis. The results of this study indicate that the work environment has a positive and significant effect. This is evidenced by the value of p-value (sig) <0.05, namely 0.040 <0.05 and the value of tcount > ttable which is 2.107> 2.0057 so it can be concluded that the variable has a positive and significant effect on employee job satisfaction. Leadership has a positive and significant effect on employee job satisfaction. This is evidenced by the value of p-value (sig) <0.05, namely 0.000 <0.05 and the value of tcount > ttable which is 9.267> 2.0057 so it can be concluded that the variable has a positive and significant effect on employee job satisfaction. The work environment and leadership have a positive and significant impact on employee job satisfaction. This is evidenced by the value of p-value (sig) <0.05, namely 0.000 <0.05 and the value of fcount > ftable which is 44.565> 3.28, so it can be concluded that both variables have a positive and significant effect on employee job satisfaction.. Keywords: work environment ; leadership ; employee job satisfaction

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