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Journal articles on the topic 'Regression equation etc'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Semenov, Aleksandr Vladimirovich. "STATISTICAL ASSESSMENT OF THE SIGNIFICANCE OF THE MULTIPLE REGRESSION EQUATION OF AGRICULTURAL PRODUCTION." Экономика сельского хозяйства России, no. 2 (February 1, 2025): 123–27. https://doi.org/10.32651/252-123.

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Constructing regression equations based on data from independent variables is an urgent task in various fields such as economics, marketing, engineering, agriculture, etc. Such an equation can be used to predict the variable under study. An equally important task is to assess the statistical significance of both the equation as a whole and the obtained regression coefficients. In the article, using the example of the multiple regression equation for agricultural production, such an assessment is made, the main criteria and formulas for their calculation are given.

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Chernykh, A. G., Sh M. Mamedov, and D. I. Korolkov. "Forecasting the parameters of building structures using regression equations. Part 1. Forecasting with independent action of variables and constancy of operating factors." Вестник гражданских инженеров 18, no. 1 (2021): 70–75. http://dx.doi.org/10.23968/1999-5571-2021-18-1-70-75.

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The article presents a method for forecasting the parameters of building structures using regression equations. The most commonly used regression equations were used, namely, linear, polynomial, power, exponential, exponential, logarithmic, semi-logarithmic, hyperbolic and logistic ones. The authors propose to use one-factor regression equations in which the variable value is time, and the dependent value is the parameter of the building structure, the changes of which the researcher needs to determine. Thereafter, the authors present the basic equations as multi-factorial ones. This is achiev

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Bian, Xinxiao, and Quan Wang. "A comprehensive mathematical model for an accurate calculation of the oil film thickness of strip cold rolling." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 234, no. 3 (2019): 350–61. http://dx.doi.org/10.1177/1350650119862930.

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The surface quality of cold rolled strip is related to a greater extent on the rolling oil film thickness, and there are many factors that affect the oil film thickness. Considering the various factors comprehensively, an integrated mathematical model is established, such as roughness of rolls and strips, elastohydrodynamic lubrication, friction heat and plastic deformation heat in the rolling zone, viscosity varying with temperature and pressure, etc. A series of equations are developed, such as the Reynolds equation of partial membrane hydrodynamic lubrication based on average flow theory, e

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Mazūra, Mindaugas, and Olga Fadina. "THE RELIABILITY OF FORECASTS IN TRANSPORTATION." TRANSPORT 17, no. 6 (2002): 219–22. http://dx.doi.org/10.3846/16483840.2002.10414046.

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Major problems of forecasting the economic characteristics of transportation (i.e. the amount of freight and passengers carried, the turnover rate of freight and passengers, etc. in transportation as a whole and in particular areas using various transport facilities) are demonstrated. Methods for predicting the development of transportation based on multidimensional regression and correlation analysis and realizing mathematical models for choosing linear and nonlinear regression equations, more accurately approximating the empirical data, are presented. The research conducted has demonstrated

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Andrianova, O. R., and A. V. Sryberko. "Methods for calculating the speed of sound distribution by water temperature: case study for the Black Sea." Ukrainian hydrometeorological journal, no. 24 (December 9, 2019): 83–91. http://dx.doi.org/10.31481/uhmj.24.2019.08.

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The article presents the results of the research aimed at calculating the vertical speed of sound distribution in the active layer of the Black Sea based on water temperature readings. The research was carried out in the active layer of the deep-water section of the Black Sea at the depth range of 0 – 50 meters. The water temperature values taken at the hydrological stations or the shipboard measurements (OSD: Ocean Station Data) taken with the help of floats (PFL: Profiling Float Data) were used as initial data. The calculations were based on the identification of correlation relationships be

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Gurbanova, U. M., Z. S. Safaraliyeva, N. R. Abishova, R. G. Huseynova, and D. B. Tagiyev. "MATHEMATICAL MODELING THE ELECTROCHEMICAL DEPOSITION PROCESS OF Ni–Mo THIN FILMS." Azerbaijan Chemical Journal, no. 3 (September 28, 2021): 6–11. http://dx.doi.org/10.32737/0005-2531-2021-3-6-11.

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To avoid the numerous experiments for determining optimal conditions and electrolyte composition at co-deposition of two metals we have cleated the regression equation. Mathematical calculations have been carried out using the Optum ME package program with the study of some factors as current density, concentration of main components, temperature, etc. which effect on the co-deposition process. Three independent variables have been selected. The amount of molybdenum in the deposit has been chosen as the dependent variable. The developed regression equation quite adequately describes the co-dep

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Bonilla, Diego A., Laura Castrillón-Ruíz, Luisa F. Soto-Arenas, Mayra A. Márquez-Rodríguez, Richard B. Kreider, and Jorge L. Petro. "Estimation of Stature in Adults: Development and Validation of a New Predictive Formula using the Tibiale Mediale-Sphyrion Tibiale Length." Revista Española de Nutrición Humana y Dietética 26, no. 1 (2022): 61–71. http://dx.doi.org/10.14306/renhyd.26.1.1456.

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Introduction: Several regression equations for estimating stature have been used by health professionals in the clinical, nutritional, and forensic practice. However, there is a lack of standardization when taking measures and further population-specific equations are needed. We aimed to develop and validate an equation to estimate stature in adult population using the International Society for the Advancement of Kinanthropometry (ISAK)-standardized measurement Tibiale Mediale-Sphyrion Tibiale (TMST) length. Methodology: A total of 188 Colombian adult women and men (23.1(4.0) years; 165.0(8.5)

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Pérez-Sánchez, Belén, Carmen Perea, Guillem Duran Ballester, and Jose J. López-Espín. "Estimation of simultaneous equation models by backpropagation method using stochastic gradient descent." PeerJ Computer Science 10 (October 8, 2024): e2352. http://dx.doi.org/10.7717/peerj-cs.2352.

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Simultaneous equation model (SEM) is an econometric technique traditionally used in economics but with many applications in other sciences. This model allows the bidirectional relationship between variables and a simultaneous relationship between the equation set. There are many estimators used for solving an SEM. Two-steps least squares (2SLS), three-steps least squares (3SLS), indirect least squares (ILS), etc. are some of the most used of them. These estimators let us obtain a value of the coefficient of an SEM showing the relationship between the variables. There are different works to stu

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PARYGINA, S. A. "CONSTRUCTION OF A MATHEMATICAL MODEL OF THE CORROSION DEFECT ON COLD-ROLLED STEEL DEPENDING ON THE PRODUCTION FACTORS." Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 78, no. 5 (2022): 426–30. http://dx.doi.org/10.32339/0135-5910-2022-5-426-430.

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Significant economic losses from metal corrosion force metal manufacturers to look for ways to reduce these losses including using the machine learning methods. A regression mathematical model has been built that allows regulating the influence of the initial factors in the production of cold-rolled steel in order to reduce such a common defect as metal corrosion. We have identified 10 significant production factors and selected the equation of linear multiple regression of these factors for the output variable y, which determines the percentage of scrap due to corrosion during production of t

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Ha Tuan, Cuong, and Phuong Ha Tran. "Integrating Landsat 8 and Sentinel 2 in increasing the spatial resolution of land surface temperature: A case study in Ho Chi Minh city." E3S Web of Conferences 626 (2025): 01002. https://doi.org/10.1051/e3sconf/202562601002.

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One of the most popular methods for calculating land surface temperature (LST) is based on the thermal band of satellite images, but the resolution is relatively low and medium. Therefore, the technique of sharpening or downscaling the resolution to calculate LST values is getting more popular. The method of ameliorating LST’s resolution is approached by building a linear regression equation between land surface indices from high-resolution satellite images and LST values retrieved from low to medium-resolution images. This study experimented in Ho Chi Minh city from 2015 to 2022 by integratin

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Sun, Qiaozhen, Bocheng Zhang, and Haoqian Yuan. "Load calibration experiment analysis for scaled model of large aspect ratio wing." Journal of Physics: Conference Series 2551, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1742-6596/2551/1/012022.

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Abstract Load calibration experiment is the key work for flight load verification and flight test of civil aircraft. The efficiency of the flight load verification is meaningfully determined by the reliability of load calibration experiment. This paper aims to theoretically and experimentally study the load calibration of civil aircraft wing with large aspect ratio and elastic beam based on the scaled model, which includes the design of fixed device for wing loading, the data processing, the basic hypothesis test, the selection of regression variables and optimisation of regression equation, e

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Socha, Jaroslaw, Pawel Netzel, and Dominika Cywicka. "Stem Taper Approximation by Artificial Neural Network and a Regression Set Models." Forests 11, no. 1 (2020): 79. http://dx.doi.org/10.3390/f11010079.

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Variation in tree stem form depends on species, age, site conditions, etc. Stem taper models that estimate stem diameter at any height and volume should comply with this complexity. In the paper, we propose new methods taking into account both unbiased estimates and stem variability: (i) an expert model based on an artificial neural network (ANN) and (ii) a statistical model built using a regression tree (REG). We used the variable-exponent taper equation (STE) as a reference for these two models. Input data contain information about 2856 trees representing eight dominant forest-forming tree s

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Kaushik, N. C., and R. N. Rao. "High-stress abrasive wear behavior of Al–Mg–Si hybrid composites using regression analysis." Industrial Lubrication and Tribology 69, no. 2 (2017): 149–57. http://dx.doi.org/10.1108/ilt-03-2016-0052.

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Purpose The purpose of the present study is to analyze the wear behavior of developed aluminum hybrid composites under high-stress conditions through developed power law and quadratic equations. Design/methodology/approach The abrasive wear behavior of Al–Mg–Si (Al 6082) alloy reinforced with hard silicon carbide (SiC) and soft graphite (Gr) particulates fabricated by stir casting route was studied at loads of 5-15 N, sliding distance of 75 m and abrasive grit size of 100-200 μm. The power law and quadratic equations were developed to understand the wear behavior with respect to the load appli

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Tian, Zhong Ke, Fa He Yang, and Chao Yin. "Many-to-Many Regression Analysis of Loading Characteristic in Dieless Tube Hydroforming." Applied Mechanics and Materials 541-542 (March 2014): 534–37. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.534.

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Based on uniform design, finite element simulation of dieless tube hydroforming and double-screening stepwise regression method, a many-to-many polynomial regression equation set was established, whose independent variables are time t1 at which axial compression displacement from 0 reaches 25mm and time t2 at which internal pressure from 0 achieves 65MPa in 60 seconds, while dependent variables are hoop plastic strain s11 and radial plastic strain s22 in the midmost position of hydroformed tube. Analysis of partial correlation coefficient indicates that the effect of t2 on s11 is a little stro

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Alekseytsev, Anatoly, Yao Cui, and Alexandra Roslyakova. "Prediction of the load-bearing capacity of reinforced concrete beams with a rectangular cross-section using the basic principles of machine learning." E3S Web of Conferences 533 (2024): 02035. http://dx.doi.org/10.1051/e3sconf/202453302035.

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A step-by-step implementation of a machine learning algorithm for estimating the capacity of rectangular sections of reinforced concrete beams is considered. In this case, prestressing is not taken into account. Dependencies for strength determination based on analytical models are given, as well as the solution to the linear regression equation. The minimisation of the MSE between the data obtained from the linear regression equation and the analytical model is used as a metric to assess the quality of the predictions. A preliminary prediction of the ultimate moment is given in the case of co

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Nehri, Leman Nur. "Indoor air pollution affects the early COVID-19 fatality: A multiple linear regression analysis." Turkish Journal of Sense of Place and Urban Studies 2, no. 1 (2024): 19–35. https://doi.org/10.5281/zenodo.11092564.

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<em>In this study, early COVID-19 mortality and reproduction rates were settled as dependent variables and they were investigated to understand the most effective factors on these parameters. For this, various urban-related and host factor-related variables such as household type, GDP rates, etc., were collected for 56 countries from different sources, and stepwise multi-linear regression analyses were conducted to get regression equations to explain these dependent variables. Based on the results, indoor air pollution death rates were the most effective independent variable with the biggest p

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Singla, Rajeev K., Ghulam Md Ashraf, Magdah Ganash, Varadaraj Bhat G., and Bairong Shen. "Physicochemical, Interaction & Topological Descriptors vs. hMAO-A Inhibition of Aplysinopsin Analogs: A Boulevard to the Discovery of Semi-synthetic Antidepression Agents." Current Drug Metabolism 22, no. 11 (2021): 905–15. http://dx.doi.org/10.2174/1389200222666211015155014.

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Background: Depression, a neurological disorder, is globally the 4th leading cause of chronic disabilities in human beings. Objective: This study aimed to model a 2D-QSAR equation that can facilitate the researchers to design better aplysinopsin analogs with potent hMAO-A inhibition. Methods: Aplysinopsin analogs dataset were subjected to ADME assessment for drug-likeness suitability using StarDrop software before modeled equation. 2D-QSAR equations were generated using VLife MDS 4.6. Dataset was segregated into training and test set using different methodologies, followed by variable selectio

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Nitasari, Alfi Nur, Andini Sa'idah, Nurin Faizun, Kezia Eunike Darmawan, Marfa Audilla Fitri, and Nur Chamidah. "MODELING LONGITUDINAL FLOOD DATA IN WEST SUMATRA USING THE GENERALIZED ESTIMATING EQUATION (GEE) APPROACH." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 4 (2024): 2181–90. http://dx.doi.org/10.30598/barekengvol18iss4pp2181-2190.

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Flooding is one of the many natural disasters that often hit Indonesia. In July 2023, three areas in West Sumatra experienced floods and landslides which caused damages and even 2 missing victims. Since November 16th, 2023, 8 hamlets in Meranti Village, Landak District, West Sumatra have been inundated by floods which affected families and many public facilities. This research uses data from West Sumatra Province Central Statistics Agency. The data used is 2014, 2018 and 2021. The response variable used is the number of villages/sub-districts experiencing natural disasters according to distric

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Mayuri, Sanjay Doiphode*1 Prof. Uday. J. Phatak2. "ENHANCE LABOUR PRODUCTIVITY THROUGH APPLICATIONS OF WORK STUDY PRINCIPLES FOR A RESIDENTIAL SITE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 529–35. https://doi.org/10.5281/zenodo.829763.

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The construction industry is one of the largest industries, because of its large presence; it makes a significant contribution to the national economy and provides jobs to large no of peoples. In recent year India’s construction sector has investment in both not only public but also in private sector enterprises. Large amount of investment made in construction roads, ports, power plants, urban infrastructural development etc. Number of approaches has been developed to improve the efficiency and effectiveness of construction process by applying statistical analysis. There is no proper definitio

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Sunnu, Albert K., Abdul-Rahim Bawa, Adams Yunus, Emmanuel A. Sarsah, Joshua A. Akanbasiam, and Philemon K. Mensah. "Empirical Model for Estimating Measured Monthly Average Global Solar Radiation in Lawra using TMY Data." European Journal of Engineering and Technology Research 8, no. 1 (2023): 75–80. http://dx.doi.org/10.24018/ejeng.2023.8.1.2975.

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In this study, simple and multiple regression models were developed to estimate the monthly average daily global solar radiation in Lawra, Ghana using ground measurement of global horizontal irradiance (Nov 2020–May 2022) and typical meteorological year (TMY) data (Jan 2017–Dec 2019). Various predictor variables such as sunshine ratio, minimum relative humidity and maximum relative humidity ratio, minimum and maximum temperature ratio, etc. were correlated from the TMY data. Many model equations were developed with the variables ranging from one to eight. The best model from each category was

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Brkić, Dejan, and Pavel Praks. "What Can Students Learn While Solving Colebrook’s Flow Friction Equation?" Fluids 4, no. 3 (2019): 114. http://dx.doi.org/10.3390/fluids4030114.

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Even a relatively simple equation such as Colebrook’s offers a lot of possibilities to students to increase their computational skills. The Colebrook’s equation is implicit in the flow friction factor and, therefore, it needs to be solved iteratively or using explicit approximations, which need to be developed using different approaches. Various procedures can be used for iterative methods, such as single the fixed-point iterative method, Newton–Raphson, and other types of multi-point iterative methods, iterative methods in a combination with Padé polynomials, special functions such as Lambert

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Fakultas Ekonomi Universitas Tarumanagara, Tommy Setiawan Ruslim, and Mukti Rahardjo Fakultas Ekonomi Universitas Tarumanagara. "JUMPA Vol.2 No.2 Juni 2015 PENGARUH KUALITAS DARI LINGKUNGAN FISIK, MAKANAN DAN PELAYANAN TERHADAP IMAGE RESTORAN." Jurnal Manajemen dan Perbankan (JUMPA) 2, no. 2 (2015): 41–51. http://dx.doi.org/10.55963/jumpa.v2i2.178.

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Food is a primary need for every living, with many processed ingredients, such as vegetables, fruits, meats, seafood, etc.. Many entrepreneurs have so many different ways to process, such as cooked western style, Japan, Indonesia, etc.. With the large variety of recipes, of course, made so many restaurants are popping up, but not all restaurants can survive. The high competition, limited capital, the quality of food served, until the service provided is a key influence on the success of a restaurant. By doing similar research as practiced by Ryu, et al. (2011), the authors also take the Chin

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Akkerman, Gennady, Sergey Akkerman, Alexey Kolos, and Nikolay Kapruschenko. "Road and environment." E3S Web of Conferences 296 (2021): 02006. http://dx.doi.org/10.1051/e3sconf/202129602006.

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A railway at all stages of its life cycle (design, construction, operation) interacts with the environment. The environment can be divided into two components, which, depending on the geographical location of the area and its economic development, are characterized by their regional factors. Natural: climate, relief, geology, hydrology, etc. Economic: the development of the area, the density of population and transport networks, industry, etc. The environment affects the choice of the main technical parameters of the railway, design characteristics, methods of construction and operation, and t

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Saha, Arundhati, Chandan Bandyopadhyay, and Saswata Biswas. "Stature Estimation from Forearm Length: An Anthropometric Study on Medical Students of South Indian Origin." Indian Journal of Forensic Medicine and Pathology 15, no. 4 (2022): 219–23. http://dx.doi.org/10.21088/ijfmp.0974.3383.15422.2.

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Forensic identification of mutilated and fragmented body parts is a critical part of forensic investigation. Stature is a major criterion of identification and provides useful clues to the investigating agency. There are established correlations of stature with body parts such as extremities, head, trunk, vertebral column, etc. This study was formulated to find out the correlation between maximum head length and maximum head breadth with stature in humans and to calculate a regression equation to determine stature from the head length and head breadth at Kolkata Police Morgue attached to the U

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Elcioglu, Elif Begum. "A High-Accuracy Thermal Conductivity Model for Water-Based Graphene Nanoplatelet Nanofluids." Energies 14, no. 16 (2021): 5178. http://dx.doi.org/10.3390/en14165178.

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High energetic efficiency is a major requirement in industrial processes. The poor thermal conductivity of conventional working fluids stands as a limitation for high thermal efficiency in thermal applications. Nanofluids tackle this limitation by their tunable and enhanced thermal conductivities compared to their base fluid counterparts. In particular, carbon-based nanoparticles (e.g., carbon nanotubes, graphene nanoplatelets, etc.) have attracted attention since they exhibit thermal conductivities much greater than those of metal-oxide and metallic nanoparticles. In this work, thermal conduc

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Smolniakov, V. I., and I. A. Koltoun. "New Empirical Regression Type Algorithm and Software for High Precision XRF Spectrometry." Advances in X-ray Analysis 37 (1993): 657–66. http://dx.doi.org/10.1154/s0376030800016219.

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AbstractImprovement of the empirical regression type algorithm, based on the well-known canonical form equation by Lachance, for calculations of chemical element concentration and its applications for XRF expressanalysis to control and manage the technological processes on mine manufactures, are considered.Despite the criticism of regression-type algorithms, because they have no physical sense, they are used successfully in the software of xray quantometers and energy dispersive spectrometers at different plants when it is necessary to analyze the samples with slightly varied matrix for the co

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Nwanze, N. E., Sunday Chukwuka Iweka, K. E. Madu, and E. D. Edaﬁadhe. "Solar Radiation Forecasting Models and their Thermodynamic Analysis in Asaba: Least Square Regression and Machine Learning Approach." Journal of Energy Research and Reviews 16, no. 2 (2024): 9–21. http://dx.doi.org/10.9734/jenrr/2024/v16i2333.

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Least square regression and machine learning tools were used for the development of global solar radiation forecasting models for Asaba region. Data from the year 2013-2022 from Nigerian Meteorological Agency, Asaba was used for this study. The least square regression method was used to develop four global solar radiation -based models, tagged H1, H2, H3 and H4 with characteristic day length, solar declination angle, rainfall amount, etc. as its model terms while the machine learning models produced multilayer perceptron, coarse Gaussian model (SVM-based model) and XGBoost model. The predictio

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Yang, Zhang, Liu, et al. "Thermal Conduction Simulation Based on Reconstructed Digital Rocks with Respect to Fractures." Energies 12, no. 14 (2019): 2768. http://dx.doi.org/10.3390/en12142768.

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Effective thermal conductivity (ETC), as a necessary parameter in the thermal properties of rock, is affected by the pore structure and the thermal conduction conditions. To evaluate the effect of fractures and saturated fluids on sandstone’s thermal conductivity, we simulated thermal conduction along three orthogonal (X, Y, and Z) directions under air- and water-saturated conditions on reconstructed digital rocks with different fractures. The results show that the temperature distribution is separated by the fracture. The significant difference between the thermal conductivities of solid and

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Fadil, Sanaa, Imane Sebari, Moulay Mohamed Ajerame, et al. "An Integrating Framework for Biomass and Carbon Stock Spatialization and Dynamics Assessment Using Unmanned Aerial Vehicle LiDAR (LiDAR UAV) Data, Landsat Imagery, and Forest Survey Data in the Mediterranean Cork Oak Forest of Maamora." Land 13, no. 5 (2024): 688. http://dx.doi.org/10.3390/land13050688.

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Spatialization of biomass and carbon stocks is essential for a good understanding of the forest stand and its characteristics, especially in degraded Mediterranean cork oak forests. Furthermore, the analysis of biomass and carbon stock changes and dynamics is essential for understanding the carbon cycle, in particular carbon emissions and stocks, in order to make projections, especially in the context of climate change. In this research, we use a multidimensional framework integrating forest survey data, LiDAR UAV data, and extracted vegetation indices from Landsat imagery (NDVI, ARVI, CIG, et

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Hou, Wenjie, Guanghua Yin, Jian Gu, and Ningning Ma. "Estimation of Spring Maize Evapotranspiration in Semi-Arid Regions of Northeast China Using Machine Learning: An Improved SVR Model Based on PSO and RF Algorithms." Water 15, no. 8 (2023): 1503. http://dx.doi.org/10.3390/w15081503.

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Accurate estimation of crop evapotranspiration (ETc) is crucial for effective irrigation and water management. To achieve this, support vector regression (SVR) was applied to estimate the daily ETc of spring maize. Random forest (RF) as a data pre-processing technique was utilized to determine the optimal input variables for the SVR model. Particle swarm optimization (PSO) was employed to optimize the SVR model. This study used data obtained from field experiments conducted between 2017 and 2019, including crop coefficient and daily meteorological data. The performance of the innovative hybrid

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Todua, Nugzar, and Teona Dotchviri. "On The Marketing Research of Consumer Prices and Inflation Process." British Journal of Marketing Studies 3, no. 2 (2015): 48–57. https://doi.org/10.5281/zenodo.1134903.

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Marketing information is used by financial and insurance institutions, business enterprises and companies for planning, control, monitoring and forecasting purposes in business.  One of the problems is the detection and investigation of factors, which influence the behavior of consumers. Such a basic factor is, for instance, the consumer prices index. The significance of this factor periodically changes and depends on the values of main indexes of economy such as export, import, taxes, labor force, unemployment, inflation level, etc., and also on the behavior of consumers, their taste, li

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Zhu, Xiao Qin, Jin Hu, Hui Yuan Zhao, and Wei Huan Li. "Phase Transformation Temperature Adjustment of Calcium Chloride Hexahydrate." Key Engineering Materials 512-515 (June 2012): 386–89. http://dx.doi.org/10.4028/www.scientific.net/kem.512-515.386.

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Phase change temperature adjustment of calcium chloride hexahydrate added small quantity of barium hydroxide and strontium chloride hexahydrate was researched. The experimental results demonstrated that, its phase change temperature adjustment could be achieved by means of adding excess water, and its suitable adjustment range of phase change temperature was 21.76°C-26.16°C as the proportion of the added excess water was 0-10% by weight. According to the calculation equation gained by the theoretical regression of the experimental results, its phase change temperature with different proportion

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Pizhuk, Olga. "Structural Changes of Income by Ukrainian Households in Digitalization Conditions." Herald of the Economic Sciences of Ukraine, no. 1(40) (2021): 153–58. http://dx.doi.org/10.37405/1729-7206.2021.1(40).153-158.

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In the framework of this research, we assumed that digitalization is one of the factors influencing the growth of welfare of the population of Ukraine, the main criterion of which is the total household income. To confirm this hypothesis, we used general and unique methods of cognition, in particular comparative analysis and synthesis – in studying the dynamics of growth of total household income in Ukraine compared to other countries and determining the level of access to the Internet; regression analysis – in establishing the relationship between the determinants and the total income of hous

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HOLZHÜTTER, HERMANN-GEORG, and JÖRN QUEDENAU. "MATHEMATICAL MODELLING OF CELLULAR RESPONSES TO EXTERNAL SIGNALS." Journal of Biological Systems 03, no. 01 (1995): 127–38. http://dx.doi.org/10.1142/s0218339095000125.

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An empirical mathematical model is proposed to describe the response (growth rate, metabolic activity etc.) of a cell population to various intensities of an external signal (hormone, antibody, pharmacon etc.). The model is based on the assumption that the signal causes the target system to pass consecutively through i=1, …, N distinct population states having response coefficients Ri. Describing the interaction of the system with the signal according to the rules of chemical kinetics by two phenomenological parameters (k - sensitivity, n - cooperativity index) one arrives at a series expansio

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Orehova, Tatiana, and Peter Gerginov. "Groundwater recharge and baseflow as products of climate: example of Southeast Bulgaria." Geologica Balcanica 42, no. 1-3 (2013): 67–73. http://dx.doi.org/10.52321/geolbalc.42.1-3.67.

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The study area is located in Southeast Bulgaria. The main factors affecting climate in Burgas lowland are the proximity to the Black Sea and to mountains. The aim of the study is to quantify the long-term value of the baseflow and other water balance elements. The methods include Turc-Radiation equation, equation relating baseflow coefficient with the aridity index, regression set for Conterminous USA based on climatic parameters, etc. All water balance elements are estimated as reasonable, as compared with available data from previous studies. Therefore, the methods applied are recognized as

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Ullah, Sami, Nasir Ali, Usman Shahzad, Hareem Abbasi, and Muhammad Hanif. "Mean Estimators for Sensitive Variables Using Scrambled Response Models." Journal of Asian Development Studies 13, no. 2 (2024): 1853–66. http://dx.doi.org/10.62345/jads.2024.13.2.146.

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The most popular methods for sensitive study are regression estimation methods that use standard regression coefficients. When it comes to survey researchers, mean estimation is an important issue. The vast majority of population mean estimation methods that can be found in sampling theory are meant only to be utilized with non-sensitive data-sets. When the variable that is important is sensitive, such as drug usage, illegal income, abortion, exam cheating, the amount of income tax due, employee rule-breaking, etc., these estimation methods cannot operate efficiently. In this article, we propo

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Wu, Yichen, Zuchang Ma, Huanhuan Zhao, Yibing Li, and Yining Sun. "Achieve Personalized Exercise Intensity through an Intelligent System and Cycling Equipment: A Machine Learning Approach." Applied Sciences 10, no. 21 (2020): 7688. http://dx.doi.org/10.3390/app10217688.

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Using absolute intensity methods (metabolic equivalent of energy (METs), etc.) to determine exercise intensity in exercise prescriptions is straightforward and convenient. Using relative intensity methods (heart rate reserve (%HRR), maximal heart rate (%HRmax), etc.) is more recommended because it is more personalized. Taking target heart rate (THR) given by the relative method as an example, compared with just presenting the THR value, intuitively providing the setting parameters for achieving the THR with specific sport equipment is more user-friendly. The objective of this study was to find

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Majidzade, V. A. "MATHEMATICAL MODELING AND OPTIMIZATION OF THE LECTRODEPOSITION PROCESS OF ANTIMONY-SELENIUM SYSTEM." Azerbaijan Chemical Journal, no. 1 (April 9, 2021): 30–36. http://dx.doi.org/10.32737/0005-2531-2021-1-30-36.

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Antimony selenide (Sb2Se3), is an excellent photovoltaic absorber due to its high absorption coefﬁcient (> 105 cm–1) at the visible region and 1.17 eV band gap. In recent years, the power conversion efficiency of Sb2Se3 thin film solar cells has gradually enhanced. Therefore, given the great interest in this material, this work is devoted to the study of a mathematical model for the optimization of the preparation of thin Sb–Se films by the electrochemical method. The study was conducted by potentiodynamic, potentiostatic and galvanostatic methods carried out under different conditions at P

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Sah, Rajendra Prasad, Gopal Rana, and Ravi Kumar Bhaskar. "Estimation of ulna length as a predictor of height in Nepalese male adult population." Journal of Chitwan Medical College 8, no. 3 (2018): 19–23. http://dx.doi.org/10.3126/jcmc.v8i3.23746.

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Introduction: Stature estimation from the skeletal remains bears immense importance for the anatomist, anthropologist for the forensic experts. It is conventionally used long bones, the humerus, femur, tibia, etc. Ulna has also been used for the said purpose since 1952. An attempt was made to formulate a linear regression equation for the estimation of the stature of living adult population from the lengths of their ulna. Methods: This study was conducted in the M.B. Kedia Dental College Birgunj from January 2017 to December 2017and participants were chosen from among the patients and t

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Oreshnikov, V. V., and Y. S. Aitova. "SUPPORT TOOLKIT FOR ASSESSING THE ATTRACTIVENESS OF CITIES FOR THE POPULATION." Scientific Review: Theory and Practice 10, no. 9 (2020): 2148–57. http://dx.doi.org/10.35679/2226-0226-2020-10-9-2148-2157.

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The article discusses the issues of assessing the level of attractiveness of cities in the Russian Federation. An algorithm for developing the econometric component of the model is proposed. The parameters of analyzing the level of attractiveness of cities for various economic agents have been determined. Among the factors influencing the attractiveness of cities for residents, the population size, housing provision, crime rate, the level of wages and medical provision were identified. Assessment of attractiveness from the standpoint of doing business involves considering production volumes, r

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Zhou, Ji Chang. "An Application of RSR Method in Environmental Pollution Health Damage." Advanced Materials Research 518-523 (May 2012): 4839–42. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.4839.

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RSR (Rank-sum ratio) includes the following process: code ranking, calculating RSR, analyzing the distribution of RSR, calculating with regression equation, code ranking and ordering etc. to arrange the rank of damage to health by environment pollution based on the environment and health medical science, to make an evaluation of the damage by environment pollution to people’s and individual’s health, through this evaluation we can see that the important part is how to arrange the rank reasonably and rightly in the application of RSR method in the damage of people’s health by environmental poll

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Amilia, Suri, and Iriyani. "Pengaruh Lokasi, Harga dan Fasilitas terhadap Keputusan Sewa Kamar Kost Mahasiswa Fakultas Ekonomi Universitas Samudra." Jurnal Manajemen dan Keuangan 8, no. 3 (2020): 267–80. http://dx.doi.org/10.33059/jmk.v8i3.2328.

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ABSTRACT The objective of the research was to ﬁnd out the location, price and facilities of rental room decisions of the students Fakultas Ekonomi Universitas Samudra. Data analysis method using multiple linear regression, with multiple linear regression analysis equation in research are: Y = 2.597 + 0.184X1 + 0.184X2 + 0.044X3. The value of Adjusted R Square obtained by 0,17 or 17,0% indicates the ability of the location, price and facilities of rental room decisions of the students Fakultas Ekonomi Universitas Samudra, while the remaining 83.0% is influenced by other variables that are

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Rizki, Vitri Dea, Wan Dian Safina, Toni Hidayat, and Rukmini Rukmini. "pengaruh Pengaruh Budaya Organisasi Dan Komunikasi Organisasi Terhadap Kinerja Guru Di SD Negeri 11 Kecamatan Rantau Utara Kabupaten Labuhan Batu." Movere Journal 6, no. 2 (2024): 349–60. http://dx.doi.org/10.53654/mv.v6i2.485.

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It turns out that organizational culture has a strong influence on teacher performance, while organizational communication has a weaker influence on teacher performance. This was revealed from the results of research conducted on 33 elementary school teachers at SD Negeri 11, Rantau Utara District, Labuhan Batu Regency. The results of multiple regression analysis via SPSS 24 output show the linear regression equation Y= 0.091+0.828X1+0.360X2 meaning that if there is an effort to increase 1 (one) unit then teacher performance will increase by 0.828, likewise organizational communication will in

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Liao, XiFeng. "An Equation Model on the Professional Knowledge and Confidence for Future Employment of Students in Programs Supported With Emerging Technologies." International Journal of Information Technology and Web Engineering 19, no. 1 (2024): 1–18. http://dx.doi.org/10.4018/ijitwe.357698.

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Students enrolled in interdisciplinary programs supported with modern information technologies may face more challenges in learning, because they must learn from at least two curricula, including courses of big data, new media technologies and intelligent platform use, etc. Taking students in these programs as an example, this study aims to investigate relationships among eight variables related to student career development. The research employed the quantitative method of Pearson bivariate analysis, ANOVA and Hayes (2017) regression procedure to test the direct and indirect relationship amon

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Idika, C., and Aimikhe, Victor Joseph. "Non-linear Regression Models for Predicting Biogas Yields from Selected Bio-wastes." Journal of Energy Research and Reviews 13, no. 2 (2023): 42–55. http://dx.doi.org/10.9734/jenrr/2023/v13i2261.

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The benefits of biogas as alternative energy to other fossil fuel sources, due to its renewability, environmentally friendly nature, health benefits, etc., cannot be overemphasized. There are numerous models for predicting biogas production rate from bio-materials, including the modified Gompertz equation. These models are primarily dependent on specific biomass parameters. When any of these parameters, like the slurry volume, changes, another round of experiments must be conducted and curve fitted before biogas yield predictions can be made. This could be time-consuming and costly. Using expe

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Gangwal, Muskan, and Dr H. K. Mahiyar. "Study of Traffic Congestion Analysis on Urban Road: A Case Study of Indore City." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 2019–26. https://doi.org/10.22214/ijraset.2025.66729.

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Abstract: The traffic congestion is the one of the most wide spread and world wide problem. Traffic has serious negative effect on the economy, society and environment. jawaharmarg is a key arterial road with a mix of commercial and residential building's. The road consists of intersections with traffic signals. The road experiences heavy congestion, especially during rush hours due to the presence of specific factors, such as shopping centers, schools, office buildings etc. Findings the traffic volume on jawahrmarg road in Indore is the goal of this paper. The study draws attention to the pro

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Sah, Rajendra Prasad, and Iju Shrestha. "Estimation of stature from percutaneous length of tibia in the population of Birgunj, Nepal." Journal of Kathmandu Medical College 3, no. 2 (2014): 58–62. http://dx.doi.org/10.3126/jkmc.v3i2.11227.

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Background: Stature estimation is one of the important parameters in establishment of the identity of a person. As said “Identification is an individual’s birth right”, stature of an individual is an inherent character. Mass disasters like aircrash, terrorist attacks etc. are quite frequent these days because of which dismembered body parts are being frequently brought to the medico-legal experts for generating data for identification.Objective: The objective of this study is to estimate the stature from percutaneous tibia length (PCTL).Methods: This prospective study consisted of 150 males an

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Mani, Thenmozhi, B. Malavika, Rani Mohanraj, et al. "Familial Risk and Dowry Demand: Are they Causal Factors for Physical and Psychological Violence among Women? A Structural Equation Modeling." Asian Pacific Journal of Health Sciences 11, no. 2 (2024): 5–12. http://dx.doi.org/10.21276/apjhs.2024.11.2.02.

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Background: In India, studies dealt with domestic violence have used linear or logistic regression to present risk factors. These methods do not allow studying the impact of intermediate variables on the path which could exert indirect or mediation effects on the outcome. This study investigated the direct and indirect effects of familial risk and dowry demand on physical and psychological violence through the mediating variables: alcohol use, women characteristics and social support. Study design: A population-based, cross-sectional household survey was conducted at seven sites in six states

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Laverne, Robert. "The Influence of Trees and Landscaping on Rental Rates at Office Buildings." Arboriculture & Urban Forestry 29, no. 5 (2003): 281–90. http://dx.doi.org/10.48044/jauf.2003.032.

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The environmental and economic benefits of trees have been studied relative to a variety of interests including their influence on real estate value. This study investigates the effect of trees and landscaping on office rental rates, based on a comparison of 85 office buildings that comprise 270 individual and unique leases in the Cleveland, Ohio, U.S., metropolitan area. Data that describe the quantity, functionality, and quality of landscaping were gathered from each of the buildings including landscape maturity, the percentage of ground cover (trees, turf, pavement, etc.), and functional at

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Xu, Jiayan, Chenfei Shi, and Chenyuan He. "Component Analysis Model of Glass Relics Based on Logistic Regression and Fisher Linear Discrimination." Highlights in Science, Engineering and Technology 42 (April 7, 2023): 372–80. http://dx.doi.org/10.54097/hset.v42i.7117.

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In recent years, with the attention paid by various countries to the exploitation and protection of cultural relics and the continuous development of industrialization, people have gradually realized the necessity of analyzing the weathering of ancient glass relics. In this paper, the physical characteristics, chemical composition and content of sample cultural relics are analyzed and their types are identified by using multiple algorithms such as Logistic regression model, Fisher linear discrimination, Fisher’s exact test, etc. The study of this issue can provide guiding suggestions for the a

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