scholarly journals Establishing the interrelation of the main influencing factors on the safety of methane-air mixture transportation

2019 ◽  
Vol 109 ◽  
pp. 00002
Author(s):  
Ruslan Ahaiev ◽  
Kateryna Dudlia ◽  
Dmytro Prytula
Keyword(s):  
Regression Analysis ◽  
Influencing Factors ◽  
Methane Production ◽  
Vacuum Pump ◽  
Coal Deposits ◽  
Geological Factors ◽  
The Relationship

The computing of the pipeline diameter and the decision of a vacuum pump for capturing methane-air mixture from underground wells in a real mine are presented in the article. The safety conditions for transportation of methane-air mixture are presented. The relationship between mining and mining and geological factors using regression analysis are established. These factors affect the transportation of methane-air mixture safety. The results of the work can be used in the projecting of underground degassing systems in the development of coal deposits and methane production.

scholarly journals A study on the influencing factors of urinary iodine concentration and the relationship between iodised salt concentration and urinary iodine concentration

2014 ◽  
Vol 113 (1) ◽  
pp. 142-146 ◽  
Author(s):  
Yan Zou ◽  
Gangqiang Ding ◽  
Xiaoming Lou ◽  
Zhe Mo ◽  
Wenming Zhu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Influencing Factors ◽  
Urinary Iodine ◽  
Iodine Concentration ◽  
Nutrition Status ◽  
Urinary Iodine Concentration ◽  
Iodine Nutrition ◽  
Salt Iodine ◽  
The Relationship

The aim of the present study was to explore the influencing factors of urinary iodine concentration (UIC) and the relationship between iodised salt concentration and UIC in order to give suggestions for the surveillance of iodine nutrition status. For this purpose, a multi-stage cluster sampling technique was employed in the present cross-sectional study. Correlations between UIC and salt iodine concentration were evaluated by Spearmen's correlation analysis. Risk factors of having a lower UIC were identified by logistic regression analysis, and the equations of UIC and salt iodine concentration were fitted by curve regression analysis. The median UIC was found to be 162·0 (25th–75th percentile 98·2–248·6) μg/l. The UIC was correlated with salt iodine concentration (Spearman's ρ = 0·144, P< 0·05). The multiple logistic regression analysis found the following influencing factors for having a lower UIC: age (OR 0·98, 95 % CI 0·98, 0·98, P< 0·05); sex (OR 0·81, 95 % CI 0·71, 0·92, P< 0·05); education level (OR 0·87, 95 % CI 0·83, 0·90, P< 0·05); status of occupation (OR 0·91, 95 % CI 0·86, 0·96, P< 0·05); occupation (OR 1·03, 95 % CI 1·00, 1·05, P< 0·05); pickled food (OR 1·24, 95 % CI 1·08, 1·42, P< 0·05); salt iodine concentration (OR 1·03, 95 % CI 1·02, 1·03, P< 0·05). The curve regression analysis found that UIC (y) and salt iodine concentration (x) could be expressed by the following equation: y= 1·5772x1·4845. In conclusion, the median UIC of individuals in Zhejiang Province falls within optimal status as recommended by the WHO/UNICEF/International Council for Control of IDD. To maintain optimal iodine nutrition status, salt iodine concentration should be in the range of 16·4 to 34·3 mg/kg.

scholarly journals Use of Modern Regression Analysis in the Dielectric Properties of Foods

Foods ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1472
Author(s):  
Yu-Kai Weng ◽  
Jiunyuan Chen ◽  
Ching-Wei Cheng ◽  
Chiachung Chen
Keyword(s):  
Regression Analysis ◽  
Dielectric Properties ◽  
Influencing Factors ◽  
Polynomial Regression ◽  
Treatment Method ◽  
Regression Equations ◽  
Constant Variance ◽  
Dependent Variables ◽  
Qualitative Variables ◽  
The Relationship

The dielectric properties of food materials is used to describe the interaction of foods with electromagnetic energy for food technology and engineering. To quantify the relationship between dielectric properties and influencing factors, regression analysis is used in our study. Many linear or polynomial regression equations are proposed. However, the basic assumption of the regression analysis is that data with a normal distribution and constant variance are not checked. This study uses sixteen datasets from the literature to derive the equations for dielectric properties. The dependent variables are the dielectric constant and the loss factor. The independent variables are the frequency, temperature, and moisture content. The dependent variables and frequency terms are transformed for regression analysis. The effect of other qualitative factors, such as treatment method and the position of subjects on dielectric properties, are determined using categorical testing. Then, the regression equations can be used to determine which influencing factors are important and which are not. The method can be used for other datasets of dielectric properties to classify influencing factors, including quantitative and qualitative variables.

FEM Analysis of Stress on Shaft-Sleeve Interference Fits

2013 ◽  
Vol 668 ◽  
pp. 495-499 ◽  
Author(s):  
Jian Shen ◽  
Dong Chen ◽  
Guang Fu Liu ◽  
Dan Zhou ◽  
Xiao Dong Du
Keyword(s):  
Regression Analysis ◽  
Influencing Factors ◽  
Contact Stress ◽  
Fem Analysis ◽  
Orthogonal Test ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Interference Fit ◽  
Surface Method ◽  
The Relationship

Interference fit is one of the principal difficulties during Remanufacturing. Research on shaft–sleeve interference fits stress characteristics and influencing factors are very important for the study on remanufacturing disassembly method. Different interference, shaft diameter, wall thickness and mating length are taken into account and various FEM contact analysis calculations were carried out by orthogonal test. The relationship between influencing factors and contact stress were also investigated with the stepwise multiple regression analysis, optimum regression equation was established and analyzed by response surface method. The analysis result shows that interference is the most significant factor that affecting the contact stress

Poor Acceptance of the Past is Related to Depressive Symptoms in Older Adults

GeroPsych ◽  
2020 ◽  
Vol 33 (4) ◽  
pp. 246-251
Author(s):  
Gozde Cetinkol ◽  
Gulbahar Bastug ◽  
E. Tugba Ozel Kizil
Keyword(s):  
Older Adults ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Death Anxiety ◽  
Geriatric Depression ◽  
Ego Integrity ◽  
The Past ◽  
Depressed Group ◽  
Total Death ◽  
The Relationship

Abstract. Depression in older adults can be explained by Erikson’s theory on the conflict of ego integrity versus hopelessness. The study investigated the relationship between past acceptance, hopelessness, death anxiety, and depressive symptoms in 100 older (≥50 years) adults. The total Beck Hopelessness (BHS), Geriatric Depression (GDS), and Accepting the Past (ACPAST) subscale scores of the depressed group were higher, while the total Death Anxiety (DAS) and Reminiscing the Past (REM) subscale scores of both groups were similar. A regression analysis revealed that the BHS, DAS, and ACPAST predicted the GDS. Past acceptance seems to be important for ego integrity in older adults.

INTERAKSI BUDAYA ETIS DAN KECERDASAN SPIRITUAL PADA HUBUNGAN MUATAN ETIKA DAN PERILAKU ETIS MAHASISWA (Survey pada Pendidikan Vokasi Akuntansi di Yogyakarta)

Equity ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
Rahmawati Hanny Y
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Vocational Education ◽  
Ethical Behavior ◽  
Sampling Technique ◽  
Spiritual Intelligence ◽  
Ethical Culture ◽  
Research Use ◽  
Ethical Content ◽  
The Relationship

This study aims to analyze the interaction of ethical culture, spiritual intelligence, ethical content, and students' ethical behavior. The population in this study is a student at one of the leading accounting vocational education institutions in Yogyakarta. Sampling technique in this research use purposive sampling. The number of samples in this study was 368 respondents. Data analysis using Moderated Regression Analysis (MRA). The results of this study indicate that the content of ethics affect the student's ethical behavior. The interaction of ethical culture on the relationship between ethical content and ethical behavior suggests it can strengthen its influence. Similarly, the interplay of spiritual intelligence that demonstrates can strengthen the relationship between ethical content and student ethical behavior.

Analisa Pemilihan Moda Transportasi Umum Rute Tanjung Karang – Bandara Radin Inten II Dengan Stated Preference dan Uji Crame’s V

2018 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Muhammad Abi Berkah Nadi
Keyword(s):  
Regression Analysis ◽  
Utility Function ◽  
Stated Preference ◽  
Technical Analysis ◽  
Chi Square ◽  
Time Headway ◽  
Independent Variable ◽  
The Relationship ◽  
Selection Of

Radin Inten II Airport is a national flight in Lampung Province. In this study using the technical analysis stated preference which is the approach by conveying the choice statement in the form of hypotheses to be assessed by the respondent. By using these techniques the researcher can fully control the hypothesized factors. To determine utility function for model forecasting in fulfilling request of traveler is used regression analysis with SPSS program. The analysis results obtained that the passengers of the dominant airport in the selection of modes of cost attributes than on other attributes. From the result of regression analysis, the influence of independent variable to the highest dependent variable is when the five attributes are used together with the R square value of 8.8%. The relationship between cost, time, headway, time acces and service with the selection of modes, the provision that states whether or not there is a decision. The significance of α = 0.05 with chi-square. And the result of Crame's V test average of 0.298 is around the middle, then the relationship is moderate enough.

LOYALITAS PELANGGAN: PERAN CITRA MEREK DAN KUALITAS PRODUK

2019 ◽  
Vol 4 (3) ◽  
pp. 391-400
Author(s):  
Machmed Tun Ganyang
Keyword(s):  
Regression Analysis ◽  
Product Quality ◽  
Customer Loyalty ◽  
Brand Image ◽  
Dominant Factor ◽  
Consumer Loyalty ◽  
The Relationship

This study aims to examine the relationship between brand image and product quality on customer loyalty in sports products. Data were collected through a questionnaire of 68 respondents. Through regression analysis, the results show that brand image and quality can explain variations in consumer loyalty with the brand image as a dominant factor. This finding implies that producers can increase consumer loyalty by enhancing brand image. Companies need to think about how to develop key messages so that consumers can clearly understand the position of the product. The unique aspects of the product need to be improved to create a special impression on the customer. Keywords: brand image, produk quality, customer loyalty

THE MODEL FOR MANAGING INVESTMENTS IN THE MOSCOW ENVIRONMENT BASED ON A POWER REGRESSION EQUATION

2020 ◽  
Vol 2 (7) ◽  
pp. 91-99
Author(s):  
E. V. KOSTYRIN ◽  
◽  
M. S. SINODSKAYA ◽  
Keyword(s):  
Solid Waste ◽  
Influencing Factors ◽  
Pair Correlation ◽  
Approximation Error ◽  
Regression Equation ◽  
Regression Equations ◽  
The Impact ◽  
The Relationship ◽  
Average Approximation ◽  
Average Approximation Error

The article analyzes the impact of certain factors on the volume of investments in the environment. Regression equations describing the relationship between the volume of investment in the environment and each of the influencing factors are constructed, the coefficients of the Pearson pair correlation between the dependent variable and the influencing factors, as well as pairwise between the influencing factors, are calculated. The average approximation error for each regression equation is determined. A correlation matrix is constructed and a conclusion is made. The developed econometric model is implemented in the program of separate collection of municipal solid waste (MSW) in Moscow. The efficiency of the model of investment management in the environment is evaluated on the example of the growth of planned investments in the activities of companies specializing in the export and processing of solid waste.

An Investigation on Extrinsic and Intrinsic Rewards on Employee Retention among Gen Y: A Study in Malaysian Manufacturing Companies

2020 ◽  
Vol 3 (1) ◽  
Keyword(s):  
Regression Analysis ◽  
Employee Retention ◽  
Future Research ◽  
Manufacturing Companies ◽  
Extrinsic Reward ◽  
Intrinsic Rewards ◽  
Gen Y ◽  
Intrinsic Reward ◽  
Factors Influencing ◽  
The Relationship

The aim of this study is to investigate the relationship between extrinsic and intrinsic reward on retention among Gen Y employees in Malaysian manufacturing companies. The data was collected from 113 respondents worked in manufacturing companies located in Seri Kembangan, Selangor using questionnaires. Multiple regression analysis was conducted to test the hypotheses. The results showed both extrinsic and intrinsic reward are the factors influencing retaining Gen Y in manufacturing companies. The discussion on the analysis, limitation of the study, recommendation for future research and conclusion were discussed at the end of this study. In a nutshell, it was proven extrinsic reward and intrinsic reward has contributed to the retention of Gen Y employees.

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