NONLINEAR PRINCIPAL COMPONENT ANALYSIS IN PATH ANALYSIS WITH LATENT VARIABLES MIXED DATA by Rindu Hardianti, Solimun Solimun, Nurjannah Nurjannah

“…The variable ability to pay mortgages has a significant effect on payments by mediating the fear of paying late with a coefficient of determination of 80.40%.…”
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Mathematical model of high-temperature melt flow with account for short-range order nature by S.N. Shaltakov, S.Sh. Kazhikenova, B.R. Nussupbekov, D.Zh. Karabekova, A.K. Khassenov, M. Stoev

“…A mathematical model of the flow of high-temperature melts taking into account the nature of the near order in them and the account of the second coefficient of viscosity by methods of statistical physics is described. …”
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The Effects of Inflation and Interest Rates on Inequality in Turkey by Cengizhan Yıldırım

“…Inequality must be analyzed in detail and the factors affecting inequality must be revealed because inequality determines injustice in the distribution of social welfare. …”
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Dominant ionic currents in rabbit ventricular action potential dynamics. by Zhechao Yang, Hao Gao, Godfrey L Smith, Radostin D Simitev

“…Exploiting these results, a hierarchical reduction of the model is performed and demonstrates that retaining only six key parameters can capture sufficiently well individual biomarkers, with a coefficient of determination exceeding 0.9 for selected cases. …”
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The Influence and Compensation of Environmental Factors (pH, Temperature, and Conductivity) on the Detection of Chemical Oxygen Demand in Water by UV-Vis Spectroscopy by Jingwei Li, Yipei Ding, Yijing Lu, Jia Liu, Chenxuan Zhou, Zhiyu Shao

“…The determination coefficient of prediction (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mrow><mi>R</mi></mrow><mrow><mi>P</mi><mi>r</mi><mi>e</mi><mi>d</mi></mrow><mrow><mn>2</mn></mrow></msubsup></mrow></semantics></math></inline-formula>) reaches 0.9602, and the root mean square error of prediction (RMSEP) reaches 3.52.…”
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A data-driven reduced-order model for fast prediction of resonant acoustic flow under vertical vibration based on secondary decomposition by Yuqi Gao, Ning Ma, Shifu Zhu, Pengchao Zhang, Hongxing Liu, Zhongyuan Xie

“…By integrating secondary decomposition techniques commonly used in time series prediction with ROM technology, this paper presents a non-intrusive flow field prediction method. Compared to the control method without secondary decomposition, this approach significantly enhances prediction accuracy, with the coefficient of determination for individual components improving by up to 27%. …”
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Investigation of the multi-pass drawing process for steel thin-walled ribbed tube using Taguchi-grey relational analysis optimisation by Xi Wang, Haojie Zhang, Wei Li, Chaoyang Sun

“…Furthermore, the efficiency and effectiveness of this method are verified through MPD experiments using the derived optimal parameter sets. …”
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Numerical Analysis for Mechanical Properties of Bundled Integrate Structure Joints by JI Maojie, ZHU Kefeng, ZHOU Xisheng, HUANG Xiaoping, JIAO Bochang, HONG Jianyu, LIU Xian, LYU Peilin

“…[Objective] The U-BIT (underground bundled integrate tunnel) method can solve the problems of steel pipe sections inability in collaborative work and poor support efficiency of the traditional pipe curtain method. …”
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Results of Experimental Simulation of the Development of Gas Condensate Deposits of the Coastal Field by E. I. Inyakina, R. K. Dobrolyubova, K. O. Tomskiy, V. V. Inyakin, M. I. Eliseeva

“…Under the initial thermobaric conditions, the pressure of the onset and maximum condensation of the studied hydrocarbon mixture was determined. At the final stage of the experiment, with the complete depletion of reservoir energy (standard conditions), the total hydrocarbon losses were calculated for the conditions of the Beregovoye oil and gas condensate field and the condensate recovery factor.Materials and methods of research. …”
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Recognition and Classification of 3D Objects of Different Details by Islam A. Alexandrov, Maxim S. Mikhailov, Alexander N. Muranov, Vladimir Zh. Kuklin

“…Therefore, our goal was to improve the object recognition efficiency. It is necessary to determine the method of obtaining geometric and topological parameters. …”
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Characterisation and research of the milk quality in Krk cheese manufacturing by Neven Antunac, Nataša Mikulec, Darija Bendelja, Zvonimir Prpić, Zdravko Barać

“…Significant correlation coefficients were determined between manufacturing features of sheep and certain milk quality indicators. …”
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Underwater Line Monitoring Using Optimally Placed Inclinometers by Chungkuk Jin, Seong Hyeon Hong

“…In this method, any line displacement, angle, and curvature are expressed as Fourier series, and Fourier coefficients are obtained by utilizing sensor data. …”
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Cloud point prediction model for polyvinyl alcohol production plants considering process dynamics by Ayami Ohkuma, Yoshihito Yamauchi, Nobuhito Yamada, Satoshi Ooyama, Hiromasa Kaneko

“…When comparing the conventional method with the proposed method, the coefficient of determination, used as an indicator to evaluate model performance, improved from 0.288 to 0.729. …”
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Nonlinear mixed-effects modelling of in vitro drug susceptibility and molecular correlates of multidrug resistant Plasmodium falciparum. by Julie A Simpson, Kris M Jamsen, Tim J C Anderson, Sophie Zaloumis, Shalini Nair, Charles Woodrow, Nicholas J White, Francois Nosten, Ric N Price

“…The EC50 estimates were similar for the two statistical approaches but 15-28% of isolates in the STS method had a high coefficient of variation (>15%) for individual estimates of EC50 and these isolates had EC50 values that were 32 to 66% higher than isolates derived with more precision. …”
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Eliminating Effect of Moisture Content in Prediction of Lower Heating Value and Ash Content in Sugarcane Leaves Biomass by Kanvisit Maraphum, Kantisa Phoomwarin, Nirattisak Khongthon, Jetsada Posom

“…The optimal model for LHV prediction was developed using GA-PLS regression (Method II), provided a coefficient of determination (R²) of 0.80, a root mean square error of calibration (RMSEc) of 595.80 J/g, and a ratio of performance to deviation (RPD) of 1.74, indicating fair predictive performance. …”
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Research on Optimization of Magnetic Ranging by Mechanism & Intelligence by QIAN Hongyu, CHE Yang, WANG Xiufang, FENG Fuping, JIANG Chunlei

“…Experimental validation shows that the MLP achieves a root mean square error as low as 0.114～0.161 and a coefficient of determination as high as 0.999 in both randomly partitioned and single-well test scenarios, significantly outperforming traditional methods. …”
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Generation of High-Resolution Surface Soil Moisture over Mountain Areas by Spatially Downscaling Remote Sensing Products Based on Land Surface Temperature–Vegetation Index Feature... by Junfei Cai, Wei Zhao, Tao Ding, Gaofei Yin

“…Here, we propose a novel approach for SSM downscaling based on the physical connection between the land surface temperature (LST)–vegetation index triangle feature space and SSM, where a self-adaptive calibration method was applied to determine the estimation coefficients via a sliding window with the topographic effect of LST alleviated in advance. …”
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Use of Drones for Trough Reading, Animal Counting, and Production Monitoring in Feedlot Systems by Kécia M. Bastos, Jardel P. Barcelos, Guilherme F. Orioli, Sheila T. Nascimento

“…Conventional and RPA-based methods were adopted to determine animal behavior, feed trough levels, animal counts, and pen conditions. …”
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Quality of Life in Patients with Multiple Sclerosis by Grażyna Franek, Marzena Bieniak, Aleksandra Cieślik

“…In order to calculate the variables, the following measures were used: arithmetic mean, standard deviation, coefficient of variation, asymmetry coefficient, kurtosis coefficient, Person linear correlation coefficient, Spearman rank correlation coefficient. …”
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Effect of polymer structure and additives on silane grafting of polyethylene

“…Branchings, PDI, Mw, and MFI are all determining factors and should be considered in comparing the silane grafting efficiency between different grades of polyethylene. …”
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