scholarly journals The impact of emphysema on dosimetric parameters for stereotactic body radiotherapy of the lung

2016 ◽  
Vol 57 (5) ◽  
pp. 555-566 ◽  
Author(s):  
Satoru Ochiai ◽  
Yoshihito Nomoto ◽  
Yasufumi Yamashita ◽  
Tomoki Inoue ◽  
Shuuichi Murashima ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Conformity Index ◽  
Severe Emphysema ◽  
The Mean ◽  
The Impact ◽  
Significant Factors

Abstract The purpose of this study was to evaluate the impact of emphysematous changes in lung on dosimetric parameters in stereotactic body radiation therapy (SBRT) for lung tumor. A total of 72 treatment plans were reviewed, and dosimetric factors [including homogeneity index (HI) and conformity index (CI)] were evaluated. Emphysematous changes in lung were observed in 43 patients (60%). Patients were divided into three groups according to the severity of emphysema: no emphysema ( n = 29), mild emphysema ( n = 22) and moderate to severe emphysema groups ( n = 21). The HI ( P < 0.001) and the CI ( P = 0.029) were significantly different in accordance with the severity of emphysema in one-way analysis of variance (ANOVA). The HI value was significantly higher in the moderate to severe emphysema group compared with in the no emphysema (Tukey, P < 0.001) and mild emphysema groups ( P = 0.002). The CI value was significantly higher in the moderate to severe emphysema group compared with in the no emphysema group ( P = 0.044). In multiple linear regression analysis, the severity of emphysema ( P < 0.001) and the mean material density of the lung within the PTV ( P < 0.001) were significant factors for HI, and the mean density of the lung within the PTV ( P = 0.005) was the only significant factor for CI. The mean density of the lung within the PTV was significantly different in accordance with the severity of emphysema (one-way ANOVA, P = 0.008) and the severity of emphysema ( P < 0.001) was one of the significant factors for the density of the lung within the PTV in multiple linear regression analysis. Our results suggest that emphysematous changes in the lung significantly impact on several dosimetric parameters in SBRT, and they should be carefully evaluated before treatment planning.

scholarly journals The Impact of Leadership, Motivation and Discipline on Employee Performance (a Study on Employees of PT Surabaya Marine)

2021 ◽  
Author(s):  
Eva Trisnawati Chumairoh ◽  
Trianggoro Wiradinata
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Leadership Motivation ◽  
The Impact

This purpose of this study was to determine the effect of leadership, motivation and discipline on employee performance. The independent variables were leadership (X1), motivation (X1) and discipline (X3). The dependent variable was employee performance (Y). This was explanatory research with a quantitative approach. The study was conducted at PT Surabaya Marine with employees. Data analysis was carried out through multiple linear regression analysis with the F test and t test. Employee performance was strongly influenced by leadership, motivation and discipline. Keywords: leadership, motivation, discipline, employee performance

scholarly journals BIOLOGICAL ASSET: WHAT IS THE IMPACT ON AGRICULTURAL COMPANIES?

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Maulida Dwi Kartikasari ◽  
Dien Noviany Rahmatika ◽  
Sumarno Sumarno
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Firm Size ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sample Selection ◽  
Multiple Linear Regression Analysis ◽  
Analysis Technique ◽  
The Impact

This study aims to determine the effect of managerial stock, biological asset intensity and firm size on the disclosure of biological assets in agricultural companies listed on the Indonesian stock exchange in 2016-2019. Population in this study were primary consumer goods sector companies in agricultural companies listed on the Indonesia Stock Exchange. Based on sample selection, there are 52 companies that required The data analysis technique used in this research was the multiple linear regression analysis.. Based on the multiple linear regression analysis, the results show biological asset intensity have a significance below 0.05, namely 0.006. This shows that biological asset intensity have a significant positive effect on biologiocal asset disclosure. However, the firm size and managerial ownership variables have a significance value above 5%. This means that the two variables do not have a significant effect on biological asset disclosure in agricultural companies listed on the Indonesia Stock Exchange in 2016-2019.

scholarly journals Analysis of Influence Financial Ratios on Sharia Banking Performance in Indonesia (Empirical Study at Bank Muamalat Indonesia, Bank Syariah Mandiri, and Bank Mega Syariah)

2016 ◽  
Vol 4 (2) ◽  
pp. 135
Author(s):  
Shulhah Nurullaily
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Linear Regression ◽  
Empirical Study ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Negative Effect ◽  
The Impact

This study aims to examine the performance of Sharia Banking in Indonesia after experiencing slowing growth due to the impact of the United States crisis in 2008/2009. Factors used to measure the performance of sharia banking represented by ROA are CAR, NPF, BOPO, NM and FDR. This research uses multiple linear regression analysis with sample of research of Bank Muamalat, Bank Mega Syariah, and Bank Syariah Mandiri with the period of research from the first quarter 2008 to the fourth quarter 2011. The result of this research that is NM and FDR have positive significant effect on ROA, while BOPO has a significant negative effect on ROA, CAR and NPF have no influence on ROA.

scholarly journals COVID 19: THE IMPACT OF DEMAND, SUPPLY, AND LABOR

2020 ◽  
Vol 4 (5) ◽  
pp. 60-73
Author(s):  
Hantono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
The Impact

This study aims to determine the effect of 1) demand, 2) supply, 3) labor, 4) covid 19. The sampling in this research was conducted by using a incidental sampling method. Methods of data collection through questionnaires that have been distributed to 100 respondents who have met criteria. With multiple linear regression analysis, it shows that the demand, supply, labor both partial and simultaneous have significant effect on covid 19. It can be concluded that mitigation of demand, supply, labor towards covid 19. The results of t test showed that demand is approved and indicates demand has great impact on affecting the covid 19, supply is not approved and indicates supply has less impact on affecting the covid 19, labor is approved and indicates labor has great impact on affecting the covid 19. The results of f test showed that both of the independent variables are simultaneously affecting the covid 19. The result of R Square of the regression model is 0.216 which shows that 21,6 % of mitigation of covid 19 can be explained by demand, supply, labor. Whereas, the 78,4% of covid 19 variable can be explained by other factors or variables which are not examined in this research.

Wavelet and multiple linear regression analysis for identifying factors affecting particulate matter PM2.5 in Mumbai City, India

2019 ◽  
Vol 36 (10) ◽  
pp. 1750-1783 ◽  
Author(s):  
Vivekanand Venkataraman ◽  
Syed Usmanulla ◽  
Appaiah Sonnappa ◽  
Pratiksha Sadashiv ◽  
Suhaib Soofi Mohammed ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Control Measures ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Significant Factors

Purpose The purpose of this paper is to identify significant factors of environmental variables and pollutants that have an effect on PM2.5 through wavelet and regression analysis. Design/methodology/approach In order to provide stable data set for regression analysis, multiresolution analysis using wavelets is conducted. For the sampled data, multicollinearity among the independent variables is removed by using principal component analysis and multiple linear regression analysis is conducted using PM2.5 as a dependent variable. Findings It is found that few pollutants such as NO2, NOx, SO2, benzene and environmental factors such as ambient temperature, solar radiation and wind direction affect PM2.5. The regression model developed has high R2 value of 91.9 percent, and the residues are stationary and not correlated indicating a sound model. Research limitations/implications The research provides a framework for extracting stationary data and other important features such as change points in mean and variance, using the sample data for regression analysis. The work needs to be extended across all areas in India and for various other stationary data sets there can be different factors affecting PM2.5. Practical implications Control measures such as control charts can be implemented for significant factors. Social implications Rules and regulations can be made more stringent on the factors. Originality/value The originality of this paper lies in the integration of wavelets with regression analysis for air pollution data.

scholarly journals The Impact of Understanding, Religiousity, and Faith towards the Intention to Pay Professional Zakat by Muzakki at Lembaga Amil Zakat Inisiatif Zakat Indonesia (LAZ-IZI) Balikpapan City, East Kalimantan

2018 ◽  
pp. 23
Author(s):  
Ana Mulyana ◽  
Sri Wahyuni
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Significance Level ◽  
East Kalimantan ◽  
Level Of Significance ◽  
The Impact

The dynamics of Muslim society affects the development of the discourse regarding Islamic sharia, including that of professional zakat, which is now enforced in the province of East Kalimantan, where many Muslim work as professionals. This research explored the impact of understanding, religiousity, and faith towards the intention to pay professional zakat by muzakki. The research was quantitative using the formula of multiple linear regression analysis. The data were collected through questionnaires from the sample of 94 muzakki, taken using Slovin formula, out of the population of 1,516 professional muzakki at Lembaga Amil Zakat Inisiatif Zakat Indonesia (LAZ-IZI) Balikpapan City, East Kalimantan. The findings revealed that understanding had a positive impact but not significant on the intention to pay professional zakat as indicated with t_(calculation ) 1,577 <t_tabel1,986 with the level of significance = 0,118 higher than α = 0,05; religiosity has a positive impact and significant on the intention to pay professional zakat as indicated with t_calculation 2,724>t_tabel1,986 with significance level = 0,008 lower than α = 0,05; and faith has a positive impact and significant on the intention to pay professional zakat as shown with t_(calculation ) 2,376>t_tabel=1,986 with significance level = 0,020 lower than α = 0,05. In sum, understanding has a positive but not significant impact on the intention to pay professional zakat, and both religiosity and faith have a positive and significant impact on the intention to pay professional zakat among professional muzakki in Balikpapan, East Kalimantan.

scholarly journals Effect of Opioid Limiting Legislation on Postoperative Opioid Utilization in Patients Treated for Ankle Fractures

2020 ◽  
Vol 5 (4) ◽  
pp. 247301142093950
Author(s):  
Connor G. Hoge ◽  
Robert N. Matar ◽  
Colin D. F. Cotton ◽  
Michael G. Rubeiz ◽  
Tonya L. Dixon ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Postoperative Period ◽  
Injury Severity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Ankle Fractures ◽  
Level Of Evidence ◽  
The Mean

Background: The state of Ohio implemented legislation in August of 2017 limiting the quantity of opioids a provider could prescribe. The purpose of this study was to identify if implementation of legislation affected opioid and nonopioid utilization in patients operatively treated for ankle fractures in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. Methods: A retrospective review of 144 patients treated for isolated ankle fractures in a pre-law group (January 2017–July 2017; n = 73) and post-law group (January 2018–July 2018; n = 71) was completed using electronic medical records and a legal prescriber database. Total number of opioid prescriptions, pills, milligrams of morphine equivalents (MMEs), and nonopioid prescriptions were recorded. Multiple regression analysis was run to identify predictors of opioid prescribing after controlling for law group, demographic, preoperative narcotic use, and injury severity characteristics. Results: Mean MME prescribed per patient significantly decreased from 817.2 MME pre-law to 380.9 post-law ( P < .01). Mean number of opioid pills prescribed per patient decreased from 99.1 in the pre-law group and 55.3 in the post law group ( P < .001), respectively. Multiple linear regression analysis to predict the mean number of opioid pills prescribed was statistically significant ( R 2 = 0.33; P < .001), with law group adding significantly to the prediction ( P < .001). The multiple linear regression analysis to predict MME per patient was found to be statistically significant ( R 2 = 0.31; P < .001), with the law group contributing significantly ( P < .001). Conclusion: The Ohio prescriber law successfully contributed to the decreased number of opioid pills and MME prescribed in the initial 90-day postoperative period after controlling for injury severity and preoperative narcotic usage. Policies on opioid prescriptions may serve as an important public health tool in the fight against the opioid epidemic. Level of Evidence: Level III, retrospective comparative series.

scholarly journals Pemodelan Tarikan Perjalanan Kawasan Perdagangan Jasa Skala Kecil di Jalan Sukun Raya Banyumanik

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Yudi Basuki ◽  
Sri Rahayu ◽  
Novia Windri Rahmawati
Keyword(s):  
Land Use ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Service Area ◽  
Small Scale ◽  
Service Areas ◽  
The Impact

Banyumanik sub-district grows and develops caused by increases in population. Jalan Sukun Raya is a road commonly used by residents in Srondol Wetan Village to Jalan Setiabudi and vice versa. Sukun Raya Road Corridor is one of the local roads in Banyumanik Subdistrict.  The land use in this corridor is a commercial and service area, and settlement. Land use in the road corridor is a commercial and service area. Based on these problems, it is necessary to do trip attraction modeling. In this case, the trip attraction is needed in considering the impact of existing development, such as in the sub-center of the commercial and services area, housing, and offices. The aims of this article to develop the trip attraction model.Trip attraction modeling uses multiple linear regression analysis with the stepwise method on the commercial and service area and small scale on Jalan Sukun Raya, Banyumanik Subdistrict which is a sub-service area of the city of Semarang. Correlation and multiple linear regression analysis done based on data obtained from survey results. Data collection on Jalan Sukun Raya at peak times was carried out with field observations and interviews with established resource persons.The results showed that the sales income variable became the most influential variable on the trip attraction shown in the equation Y = 0.352 + 4.998E-7 X4. The resulting model is useful for estimating trip attraction in small-scale commercial and service areas.  

scholarly journals Nurses' exposure to verbal abuse at a university hospital in Crete, Greece

2021 ◽  
Author(s):  
Nikos Rikos ◽  
Demetra Telli ◽  
Athanasia Hatzinikolaou ◽  
Demetra Mantikou ◽  
Michael Rovithis ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Mean Value ◽  
Verbal Abuse ◽  
University Hospital ◽  
The Mean ◽  
Almost All

Background & Aim: The current study aimed to investigate workplace bullying, specifically verbal abuse of working nurses, and its consequences on the physical and psychological levels. Methods & Materials: A cross-sectional study was designed and implemented in 151 nurses working at a university hospital. The survey was conducted in 2018 at a university hospital in Greece, and the Verbal Abuse Scale (G-AVQ v.0/2015) was used to assess the verbal abuse level. Multiple linear regression analysis was applied, and distributions were tested for their symmetry using Blom's method (QQ plot). Results: 88.1% were women as the mean age of all was 41.7 years and 16.1 years the mean length of employment. Almost all nurses (94.7%) reported experiencing verbal abuse, as 77.6% reported that the perpetrator was a patient's relative (p<0.05). Among cognitive assessment, coping, severity of effects, and strength of feeling, coping had the highest mean value the highest mean value, while severity of effects had the lowest (2.52 vs. 1.83, p<0.05). Multiple linear regression analysis showed that frequency of verbal abuse type has a significant correlation with higher coping (β=0.28, p=0.007) and strength of feeling values (β=0.29, p=0.010). Similarly, the severity of verbal abuse type has a significant correlation with higher strength of feeling values (β=0.30, p=0.014). Conclusion: Almost all the nurses reported experiencing verbal abuse as the 'patients' relatives were the main perpetrators. Although the nurses seem to cope with verbal abuse successfully, this fact is described as stressful. Moreover, the frequency, severity of verbal abuse, and consequences are correlated to the emotions that arise from it.

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