scholarly journals Influence Factors’ Analysis of the Face-End Roof Leaks Exposed to Repeated Mining Based on Multiple Linear Regression

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qiang Li ◽  
Dezhong Kong ◽  
Guiyi Wu ◽  
Zhijie Wen ◽  
Yuqi Shang
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Simulation Software ◽  
Regression Equation ◽  
Multivariate Linear Regression Analysis ◽  
Coal Seams ◽  
Working Face ◽  
The Face ◽  
The Stability

In view of the fact that the face-end roof fall under repeated mining of close-distance coal seams seriously affects the normal production of the working face, this paper takes working face 17101 as the background, different influencing factors of face-end roof caving exposed to repeated mining are analyzed through field observation of mine pressure data, different calculation schemes are obtained by using the orthogonal experiment, the subsidence of the face-end roof is taken as the judgment index, UDEC simulation software is used to calculate the subsidence of the face-end roof when different influencing factors change, and the application of SPSS statistical software is used for various parameters of multivariate linear regression analysis. The research results show that the influence degree of different factors from large to small is, respectively, mining height > tip-to-face distance > advancing speed > distance of coal seams > surrounding rock strength > support setting load. It is necessary to strengthen the coordination of all influencing factors and comprehensively control the stability of the face-end roof exposed to repeated mining. Through the analysis of the regression model, it is found that there is no collinearity among the influencing factors, which has a significant influence on the regression equation and regression coefficient, and the multiple linear regression equation has a good fitting effect. The model can predict the stability of the face-end roof exposed to repeated mining, which provides a basis for controlling the face-end roof exposed to repeated mining.

Influencing Factors Analysis of House Prices Based on Multiple Linear Regression

2013 ◽  
Vol 415 ◽  
pp. 722-725 ◽  
Author(s):  
Cheng Wang
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
House Prices ◽  
Supply And Demand ◽  
Housing Prices ◽  
Influence Factors ◽  
Analysis Model ◽  
Factors Analysis ◽  
The Stability

Housing problems are related to the vital interests of people and the stability of community. The stability of housing prices is directly related to the level of people's life and the development of the national economy. This paper analyzed the influence factors for market supply and demand of commodity housing, and established price influence factors analysis model based on multiple linear regression. By the empirical analysis, the main influencing factors of housing prices are got, and some policy recommendations of price control are given based on these main influencing factors.

scholarly journals Study on instability failure mode and monitoring early warning standard of surrounding rock in fully weathered argillaceous sandstone section of large section tunnel

2019 ◽  
Vol 136 ◽  
pp. 04023
Author(s):  
Ming Zhao ◽  
Ke Li ◽  
Hong Yan Guo ◽  
KaiCheng Hua
Keyword(s):  
Limit State ◽  
Stable State ◽  
Simulation Software ◽  
Surrounding Rock ◽  
Large Section ◽  
Rock Stability ◽  
Geological Conditions ◽  
Construction Step ◽  
The Face ◽  
The Stability

Based on the special geological conditions of a tunnel in Qingyuan section of Huizhou-Zhanzhou Expressway, FLAC3d numerical simulation software is used to simulate the rheological properties and instability of surrounding rock in large-section fully weathered sandstone section, and the stability and loss of surrounding rock are analyzed. The deformation of the dome and the face at steady state is analyzed. It is found that: 1) when the surrounding rock is in a stable state, the deformation curve of the dome is smooth. When the surrounding rock of the face is unstable, the front of the face appears ahead. Deformation should be first strengthened on the surrounding rock in front of the face. 2) The arched foot is an important part of the instability of the surrounding rock. In order to prevent the expansion of the collapsed part, the arched part should be reinforced. 3) In order to obtain the limit state of surrounding rock stability, the strength of surrounding rock is reduced, and the strength reduction coefficient corresponding to the displacement sudden point is taken as the safety factor of rock stability around the hole, and the stability safety coefficients of surrounding rock of each construction step are greater than 1.2. 4) The dynamic standard values of deformation control in the whole construction stage are obtained by analyzing the deformation curves of each data monitoring point with time in the corresponding time period of each construction step.

scholarly journals The Influence Of Motivation And Discipline On The Work Productivity Of Employees In Camat Office Of Sukaraja District, Seluma Province, Bengkulu Province

2021 ◽  
Vol 2 (1) ◽  
pp. 1-12
Author(s):  
Ida Ayu Made Er Meytha Gayatri ◽  
Mimi Kurnia Nengsih
Keyword(s):  
Linear Regression ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Work Productivity ◽  
Positive Influence ◽  
Regression Equation ◽  
Head Office ◽  
Regression Test

The purpose of this study was to determine factors such as motivation and work discipline tahat affect the work prductivity of employees at the Head Office of Sukaraja District, Seluma Regency. The sample in this study was 29 employees at the Head Office of Sukaraja District, Seluma Regency. Data collectiion using a questionnaire and the method of analysis used is multiple linear regression, test of determination and hypothesis testing. The result of the regression equation is Y = n10,107 + 0,417 X1 + 0,361X2 + e, which means that motivation and work discipline have a positive influence of the work productivity of employees at the Head Office of Sukaraja District, Seluma Regency. The results of the determination test was 0,567 0r (56,7%). This shows that motivation and work discipline have an effect on the work  productivity of employees at the Subdistrict Head Office of Sukaraja District, Seluma Regency by 56,7 % while the rest are explained or influenced by other variables not examined.

scholarly journals Surrounding Rock Movement of Steeply Dipping Coal Seam Using Backfill Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Wenyu Lv ◽  
Kai Guo ◽  
Jianhao Yu ◽  
Xufeng Du ◽  
Kun Feng
Keyword(s):  
Numerical Simulation ◽  
Coal Seam ◽  
Surrounding Rock ◽  
Maximum Deflection ◽  
Coal Seams ◽  
Physical Similarity ◽  
Working Face ◽  
Rock Structure ◽  
Backfill Mining ◽  
The Stability

The movement of the overlying strata in steeply dipping coal seams is complex, and the deformation of roof rock beam is obvious. In general, the backfill mining method can improve the stability of the surrounding rock effectively. In this study, the 645 working face of the tested mine is used as a prototype to establish the mechanical model of the inclined roof beam using the sloping flexible shield support backfilling method in a steeply dipping coal seam, and the deflection equation is derived to obtain the roof damage structure and the maximum deflection position of the roof beam. Finally, numerical simulation and physical similarity simulation experiments are carried out to study the stability of the surrounding rock structure under backfilling mining in steeply dipping coal seams. The results show the following: (1) With the support of the gangue filling body, the inclined roof beam has smaller roof subsidence, and the maximum deflection position moves to the upper part of working face. (2) With the increase of the stope height, the stress and displacement field of the surrounding rock using the backfilling method show an asymmetrical distribution, the movement, deformation, and failure increase slowly, and the increase of the strain is relatively stable. Compared with the caving method, the range and degree of the surrounding rock disturbed by the mining stress are lower. The results of numerical simulation and physical similarity simulation experiment are generally consistent with the theoretically derived results. Overall, this study can provide theoretical basis for the safe and efficient production of steeply dipping coal seams.

scholarly journals PENGARUH KUALITAS PRODUK TERHADAP KEPUTUSAN KONSUMEN MEMBELI MOBIL MEREK TOYOTA AGYA DI KOTA PALU (PT. HADJI KALLA)

2020 ◽  
Vol 2 (2) ◽  
pp. 107-116
Author(s):  
Rizcky Ardiansyah ◽  
Rosida P Adam ◽  
Bakri Hasanuddin
Keyword(s):  
Decision Making ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Product Quality ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Regression Equation ◽  
Analysis Tool

The objective of the research is to find out and analyze the influence of product quality on decision-making, both simultaneously and partially. The research is verificative. The sample involves consumers of Agya car at PT. Hadji Kalla. The analysis tool used is multiple linear regression analysis. The result of regression equation from the study is -2.887 + 0,237 X1+ 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Product Quality partially has significant to decision-making.                                 Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis pengaruh Kualitas Produk keputusan menandai baik secara simultan maupun parsial. Penelitian ini merupakan penelitian verifikatif. sampel adalah konsumen Of Agya di PT. Hadji Kalla. Alat analisis yang digunakan adalah beberapa analisis regresi linear. Hasil persamaan regresi dari penelitian ini adalah -2,887 + 0.237 X1 + 0,220X2 + 0,217X3 + 0,319X4 + 0,166X5 + 0,418X6 + 0,140X7. Kualitas produk parsial memiliki signifikan untuk pembuatan keputusan.

Characterization of Fabric Friction Performance by CHES-FY System

2013 ◽  
Vol 821-822 ◽  
pp. 1492-1498 ◽  
Author(s):  
Rui Qiang Gao ◽  
Zhao Qun Du ◽  
Wei Dong Yu
Keyword(s):  
Linear Regression ◽  
Correlation Analysis ◽  
Multiple Linear Regression ◽  
Surface Friction ◽  
Regression Equation ◽  
New Apparatus ◽  
Friction Performance ◽  
Fabric Surface ◽  
Orthogonal Tests

The paper mainly introduces a new apparatus (CHES-FY) to measure fabric surface friction. Compacted with the KES-FB system, the CHES-FY system has its own superiority. Through designing orthogonal tests, corresponding properties of 16 groups fabrics were measured by CHES-FY system. Based on the correlation analysis between KES-FB system with CHES-FY system, it indicates that the two systems have high correlations. Thereafter, regression equation that includes four parameters through multiple linear regression were achieved. It reports that CHES-FY system is feasible and accurate in measuring fabric surface friction performance.

scholarly journals Post-traumatic growth and influencing factors among frontline nurses fighting against COVID-19

2020 ◽  
pp. oemed-2020-106540
Author(s):  
Pan pan Cui ◽  
Pan pan Wang ◽  
Kun Wang ◽  
Zhiguang Ping ◽  
Peng Wang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Psychological Intervention ◽  
Linear Regression Analysis ◽  
Bivariate Analysis ◽  
Related Factors ◽  
Self Confidence ◽  
Post Traumatic Growth ◽  
Post Traumatic

ObjectiveTo explore the level and influencing factors of frontline nurses’ post-traumatic growth (PTG) during COVID-19 epidemic.MethodsA cross-sectional survey was conducted in February 2020 in three hospitals in China. The Post-traumatic Growth Inventory (PTGI) was used to investigate the PTG of frontline nurses. Data on related factors, including demographic characteristics and subjective variables, were collected. The Event-Related Rumination Inventory was used to assess rumination. Pearson’s or Spearman’s correlation was calculated for bivariate analysis. Independent sample t-tests or one-way analysis of variance and multiple linear regression analysis were used to examine the related factors.ResultsA total of 179 frontline nurses were recruited, and 167 were included in the analyses. The mean PTG score was 70.53±17.26. The bivariate analyses showed that deliberate rumination was modestly positively correlated with PTG (r=0.557, p<0.01), while intrusive rumination had a modest negative correlation with PTG (r=−0.413, p<0.01). Multiple linear regression demonstrated that working years, self-confidence in frontline work, awareness of risk, psychological intervention or training during the epidemic and deliberate rumination were the main influencing factors of PTG among frontline nurses and accounted for 42.5% of the variance (F=31.626, p<0.001).ConclusionsThe PTG of frontline nurses was at a medium to high level and was influenced by working years, self-confidence in frontline work, awareness of risk, psychological intervention or training and deliberate rumination. It is necessary to strengthen psychological guidance and training for frontline nurses and promote their deliberate rumination on epidemic events to improve their PTG.

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