scholarly journals Grounding zone subglacial properties from calibrated active source seismic methods

2020 ◽  
Author(s):  
Huw J. Horgan ◽  
Laurine van Haastrecht ◽  
Richard B. Alley ◽  
Sridhar Anandakrishnan ◽  
Knut Christianson ◽  
...  
Keyword(s):  
Amplitude Ratio ◽  
Coefficient Of Determination ◽  
Ratio Method ◽  
Seismic Sources ◽  
Factors Affecting ◽  
Shear Wave Velocities ◽  
Active Source ◽  
Seismic Methods ◽  
Ice Stream ◽  
Water Layers

Abstract. The grounding zone of Whillans Ice Stream, West Antarctica, exhibits an abrupt transition in basal properties from the grounded ice to the ocean cavity over distances of less than 0.5–1 km. Active source seismic methods reveal the grounded portion of the ice stream is underlain by a relatively stiff substrate (relatively high shear wave velocities) compared to the deformable till found elsewhere beneath the ice stream. Several kilometers upstream of the grounding zone, layers of subglacial water are detected, as are regions that appear to be water layers less than the thickness resolvable by our technique. The presence of stiff subglacial sediment and thin water layers upstream of the grounding zone supports previous studies that have proposed the dewatering of sediment within the grounding zone and the possibility that ocean water is pumped into the subglacial system and upstream. The setting enables calibration of our methodology using returns from the floating ice shelf. This allows a comparison of different techniques used to estimate the sizes of the seismic sources. We find a strong correlation (coefficient of determination = 0.45) between our calibrated method and a commonly used amplitude ratio method, but our results also highlight the incomplete knowledge of other factors affecting the amplitude of seismic sources and reflections in the cryosphere.

scholarly journals Grounding zone subglacial properties from calibrated active-source seismic methods

2021 ◽  
Vol 15 (4) ◽  
pp. 1863-1880
Author(s):  
Huw J. Horgan ◽  
Laurine van Haastrecht ◽  
Richard B. Alley ◽  
Sridhar Anandakrishnan ◽  
Lucas H. Beem ◽  
...  
Keyword(s):  
Coefficient Of Determination ◽  
Seismic Sources ◽  
West Antarctica ◽  
Ice Shelf ◽  
Factors Affecting ◽  
Shear Wave Velocities ◽  
Active Source ◽  
Seismic Methods ◽  
Ice Stream ◽  
Water Layers

Abstract. The grounding zone of Whillans Ice Stream, West Antarctica, exhibits an abrupt transition in basal properties from the grounded ice to the ocean cavity over distances of less than 0.5–1 km. Active-source seismic methods reveal the downglacier-most grounded portion of the ice stream is underlain by a relatively stiff substrate (relatively high shear wave velocities of 1100±430 m s−1) compared to the deformable till found elsewhere beneath the ice stream. Changes in basal reflectivity in our study area cannot be explained by the stage of the tide. Several kilometres upstream of the grounding zone, layers of subglacial water are detected, as are regions that appear to be water layers but are less than the thickness resolvable by our technique. The presence of stiff subglacial sediment and thin water layers upstream of the grounding zone supports previous studies that have proposed the dewatering of sediment within the grounding zone and the trapping of subglacial water upstream of the ocean cavity. The setting enables calibration of our methodology using returns from the floating ice shelf. This allows a comparison of different techniques used to estimate the sizes of the seismic sources, a constraint essential for the accurate recovery of subglacial properties. We find a strong correlation (coefficient of determination=0.46) between our calibrated method and a commonly used multiple-bounce method, but our results also highlight the incomplete knowledge of other factors affecting the amplitude of seismic sources and reflections in the cryosphere.

Ticket Income Distribution of Urban Rail Transit in Network Operating Condition

2011 ◽  
Vol 243-249 ◽  
pp. 4375-4380
Author(s):  
Yuan Chun Huang ◽  
Jian Li ◽  
Haize Pan
Keyword(s):  
Income Distribution ◽  
Urban Rail Transit ◽  
Ratio Method ◽  
Rail Transit ◽  
Matching Algorithm ◽  
Factors Affecting ◽  
Urban Rail ◽  
Set Up ◽  
Urban Rail Transit Network ◽  
Factor Matching

Through analyzing the factors affecting passengers’ path-choice, the corresponding principles and rules of the ticket income distribution are put forward and the new model of the Urban Rail Transit Network in Beijing is set up in the paper. Through the deformation of the urban rail transit and the simplification of the lines, the topology of the urban rail transit lines is abstracted into an undirected connection graph. Breadth-priority optimization algorithm is applied to search the effective paths between the OD and the flow-matching ratio is acquired by calculating based on multi-factor matching algorithm, in which many relevant numerical examples are analyzed to verify the feasibility of the dual-ratio method and to summarize the characteristics of the project.

scholarly journals The effects of age and body weight on powerlifters: An analysis model of powerlifting performance based on machine learning

2019 ◽  
Vol 18 (3) ◽  
pp. 89-99
Author(s):  
Vinh Huy Chau ◽  
Anh Thu Vo ◽  
Ba Tuan Le
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Body Weight ◽  
Root Mean Square Error ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Analysis Model ◽  
Factors Affecting ◽  
Artificial Intelligence Algorithm ◽  
The Relationship

Abstract As a up and coming sport, powerlifting is gathering more and more attetion. Powerlifters vary in their strength levels and performances at different ages as well as differing in height and weight. Hence the questions arises on how to establish the relationship between age and weight. It is difficult to judge the performance of athletes by artificial expertise, as subjective factors affecting the performance of powerlifters often fail to achieve the desired results. In recent years, artificial intelligence has made groundbreaking strides. Therefore, using artificial intelligence to predict the performance of athletes is among one of many interesting topics in sports competitions. Based on the artificial intelligence algorithm, this research proposes an analysis model of powerlifters’ performance. The results show that the method proposed in this paper can predict the best performance of powerlifters. Coefficient of determination-R2=0.86 and root-mean-square error of prediction-RMSEP=20.98 demonstrate the effectiveness of our method.

scholarly journals Premium evaluation in mergers and acquisitions of electricity companies

2019 ◽  
Vol 13 (3) ◽  
pp. 48-60
Author(s):  
Александр Викторович Стерхов
Keyword(s):  
Mergers And Acquisitions ◽  
Electric Power ◽  
Electric Power Industry ◽  
Close Correlation ◽  
Practical Significance ◽  
Coefficient Of Determination ◽  
Research Database ◽  
Business Valuation ◽  
Factors Affecting ◽  
Mathematical Algorithm

The purpose of the article is to build a model for estimating the relative premium in mergers and acquisitions of electric power companies, based on four groups of factors: the company's operating and financial results, the country affiliation, the industry affiliation, the debt market conjuncture. The research methodology is based on a comparative business valuation method. The empirical base of the research includes data on 6504 deals that occurred throughout the world from 1997 to 2018. The research database includes data on both public and non-public companies for which the amount paid in the deal is known, as well as the value of total assets. The scientific novelty consists in clarifying the conceptual apparatus (the concept of relative premium in a deal has been introduced); the selection and grouping of factors affecting the size of the relative premium; identifying and quantifying the influence of variables included in each group of factors. The article proposed the author's approach to the grouping of countries and industries, based on the equality of premium coefficients in the regression and obtained groups of countries and industries with equal premiums. It is shown that the grouping of industries, obtained by the mathematical algorithm, almost completely corresponds to the industry structure of the electric power industry. The coefficient of determination of the final econometric model is more than 20 per cent, which can be estimated as a high-quality assessment. That is because the relative premium, not the amount paid in the deal, is predicted which is in close correlation with the value of the company's assets. The practical significance of the research study consists in the possibility of predicting the value of a business, as well as determining the value paid in a deal in cases where such information is not available in available sources.

scholarly journals Characteristics of asbestos fibers in lung tissue from occupational and environmental asbestos exposure of lung cancer patients in Busan, Korea

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hyun-Sung Jung ◽  
Eun-Kee Park ◽  
Jun-Seok Cha ◽  
Jae-Won Lee ◽  
Jong-Chun Lee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Lung Tissue ◽  
Asbestos Exposure ◽  
Coefficient Of Determination ◽  
Factors Affecting ◽  
Lung Cancer Patients ◽  
Asbestos Fibers ◽  
Significant Difference ◽  
Occupationally Exposed

AbstractThe Asbestos Injury Relief Act in Korea requires that asbestos exposure be assessed through clinical examination and chest computed tomography (CT). However, a more specific measurement of asbestos characteristics in the lung tissue may be appropriate. We aimed to investigate the asbestos burden and characterize asbestos fibers in patients with lung cancer and ultimately assess the relationship between occupational and environmental asbestos exposure and lung cancer in Korea. We evaluated 37 lung cancer patients (LCPs) from Busan. The factors affecting asbestos burden in LCPs were analyzed using a multiple regression analysis. History of asbestos exposure (environmental/occupational), male sex, and old age were the main factors affecting asbestos burden in lung tissues of LCPs. These factors had an approximate 37% adjusted coefficient of determination. There was a significant difference in the length of asbestos fibers (4.06–37.6 µm vs. 4.26–91.7 µm) and aspect ratio (4.5–151.9 vs. 5.6–735.6) between those who were occupationally exposed to asbestos and those who were environmentally exposed (P < 0.01). Therefore, both environmental/occupational exposure to asbestos should be strongly managed to reduce the risk of lung cancer, and exposure should be assessed according to the characteristics of asbestos fibers in the lung tissue.

Overview of seismic methods for Urban Underground Space

2020 ◽  
pp. 1-64
Author(s):  
Zhenning Ma ◽  
Rongyi Qian
Keyword(s):  
Urban Space ◽  
Active Faults ◽  
Seismic Profile ◽  
Geological Structure ◽  
Underground Space ◽  
Underground Engineering ◽  
Active Source ◽  
Seismic Methods ◽  
Ambient Noise Method ◽  
Wave Methods

The development of Urban Underground Space (UUS) has become an effective way to solve the problem of urban space. Seismic methods have achieved good results in underground engineering construction, active faults detection, urban geological structure detection and other fields. Active source seismic methods in UUS include reflection methods, refraction methods, surface wave methods and vertical seismic profile (VSP) methods and so on. Ambient noise method is also rising gradually, which becomes an important method of urban underground space detection in the future, because it overcomes the problem that the active source method is interfered by urban noise. We briefly summarize these methods and introduce the application examples of UUS.

scholarly journals Factors Affecting Productivity of Oil Palm (Elaeis guineensis Jacq.) at Various Afdelings in Bah Jambi Farm PT. Perkebunan Nusantara IV

2022 ◽  
Vol 9 (1) ◽  
pp. 99-110
Author(s):  
Amir Fhad Sastranegara Harahap ◽  
Mochammad Munir
Keyword(s):  
Oil Palm ◽  
Elaeis Guineensis ◽  
Light Exposure ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Exchange Capacity ◽  
Coefficient Of Determination ◽  
Organic C ◽  
Factors Affecting ◽  
North Sumatra

North Sumatra Province, where the second-highest oil palm productivity in Indonesia, has successfully reached fresh fruit bunches (FFB) production of 5,775,631.82 tons in 2016. However, the level of oil palm productivity tends to be unstable and low. The purpose of this study was to identify and analyze factors influencing the level of oil palm productivity at the Bah Jambi Plantation PTPN IV, Simalungun Regency, North Sumatra Province. The method used in this study was the qualitative descriptive analysis method by collecting secondary data at research locations at 4 Afdeling Kebun Bah Jambi PT. Nusantara IV Plantation. The results of correlation and regression analysis showed that soil factor such as organic C, soil pH, cation exchange capacity and the availability of soil N, P, K and Mg is the most dominant factors in influencing the amount of oil palm productivity which have determination coefficient (R2) more than 90%. Meanwhile, climate factors such as evapotranspiration, duration of light exposure, wind speed and rainfall have the most role in influencing oil palm productivity which has a coefficient of determination (R2) of 95%, 94%, 88% and 33%.

scholarly journals Analysis of Factors Affecting the Results Student Learning in Accounting Students Accounting Expertise Program

2021 ◽  
Vol 4 (2) ◽  
pp. 203
Author(s):  
M. Yusuf A. Ngampo
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Descriptive Analysis ◽  
Sampling Technique ◽  
Student Learning Outcomes ◽  
Accounting Students ◽  
Coefficient Of Determination ◽  
Student Interest ◽  
Factors Affecting ◽  
Accounting Expertise

The research is aimed to determine the factors of interest in learning, and learning disciplines that affect student learning outcomes accounting expertise. This type of research is qualitative research using qualitative descriptive analysis tools and multiple regression analysis to determine how much these factors influence. The sample is 76 students using proportional random sampling technique. This study means that the interest variable (X1) has a positive effect on learning outcomes (Y). This indicates that if the interest variable increases one unit, while the student learning discipline variable is considered constant it will cause an increase in learning outcomes by 0.480. This indicates that when the learning discipline variable has increased by one unit and the interest variable is considered constant it will cause an increase in learning outcomes. learning outcomes of 0.477. The results of the correlation coefficient analysis obtained a value (r) of 0.640, which means that the relationship between student learning outcomes and student learning interest and student learning discipline is in the strong category. Where the correlation value is in the coefficient interval 0.60 - 0.799. While the coefficient of determination (r2) is 0.410 or 41 percent, which means that the effect of student interest in learning and learning discipline on student learning outcomes is 41 percent, while the remaining 59 percent (100% - r2) is determined by other factors not included in this study. The results of the t-test show that the significant value is smaller than the alpha value, where the significant value = 0.002 <alpha = 0.05, which means that it is significant, so the hypothesis proposed is that: "It is assumed that interest in learning and student learning discipline has a significant effect on learning outcomes. students in the Accounting Skills Program of SMK Negeri 1 Pangkep are declared "accepted".

scholarly journals Analysis of Factors Affecting Capital Structures in Companies Listed in Indonesia Stock Exchange Period 2010-2014

2021 ◽  
Vol 9 (2) ◽  
pp. 135-142
Author(s):  
Eva Hardianti
Keyword(s):  
Capital Structure ◽  
Sampling Method ◽  
Stock Exchange ◽  
Sample Selection ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Company Size ◽  
Sales Growth ◽  
Factors Affecting ◽  
The Capital Structure

This research aims to analyze the factors that affect the capital structure of companies listed on the Indonesia Stock Exchange in the period 2010-2014. The variables studied were profitability, sales growth, asset structure and company size. This research is a comparative causal study. The data used is secondary data obtained from the site www.idx.co.id.The population in this study are all companies listed on the Indonesia Stock Exchange in the period 2010-2014. The sample selection is done by using purposive sampling method, so that as much as 1089 observational data are obtained. Analysis of the data used is multiple regression analysis. The results of this study indicate that the variable profitability, asset structure and firm size significantly influence the capital structure. The magnitude of the coefficient of determination (Adjusted R Square) is equal to 0.104. This means that 10.4% of the dependent variable that is capital structure can be explained by four independent variables namely profitability, sales growth, asset structure and company size. While the remaining 89.6% is explained by variables or other causes outside the model.

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