CALCULATION OF THE DRAINLESS OPERATION MODES OF TYPE «C» VESSEL CRYOGENIC TANKS by A. Yu. Baranov, L. V. Ivanov, A. M. Andreev

“…The article proposes a method for determining the optimal tank filling level to achieve a drainless operation mode. …”
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Evaluation of Green Building by Analytic Hierarchy Process and Statistical Inference (Case Study: Sabzevar City) by Masumeh Karami, Ghasem Zolfaghari, Mehri Delsouz

“…Also, using Wilcoxon and Friedman statistical inference, the importance of green building evaluation system criteria in Sabzevar city has been investigated. The method of work is as follows: first, the criteria of sustainable architecture were determined and the green building evaluation system was developed, and then the weight coefficient of each criterion was determined using Expert choice 11 software. …”
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Prediction of formation energy for oxides in ODS steels by machine learning by Tian-Xing Yang, Peng Dou

“…Among six ML models employed, the light gradient boosting machine (LGBM) model shows the highest accuracy in predicting the formation energy of the oxides, with root mean square error (RMSE) values of 0.18 eV/atom and 0.27 eV/atom, mean absolute error (MAE) values of 0.11 eV/atom and 0.18 eV/atom, and coefficient of determination (R2) values of 0.96 and 0.92 for the training and testing sets, respectively. …”
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Digital literacy of library and information science postgraduates and ubiquitous learning in state owned universities, south-south, Nigeria by Onyema Nsirim, Oluchi Okeke

“…The reliability of the instrument was established through test-retest methods and was determined using Cronbach Alpha method which yielded reliability coefficient of 0.89. …”
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Groundwater fluoride modeling using an artificial neural network: a review by Neeta Kumari, Gaurav Kumar, Saahil Hembrom

“…The prediction accuracy of the network can be assessed using root mean square error (RMSE) analysis and the coefficient of determination (R2). Groundwater fluoride can also be modeled using logistic regression (LR), random forest (RF), Monte Carlo simulation (MCS), artificial neural network (ANN), support vector machine (SVM), gradient boosting (XGBoost), and Classification and Regression tree (CART) methods. …”
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Certain chorioretinal parameters of the eye in congenital and acquired myopia and their relationship with anatomical and optical parameters by E. P. Tarutta, R. R. Khubieva, G. A. Markosyan

“…Optical coherence tomography is an informative method of differential diagnosis, monitoring, and prognostication of changes in the posterior pole in myopia.…”
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Distance Learning: New Challenges in the Teaching of German and Russian Languages for Specific Purposes by Aleksandra J. Gojkov Rajić, Marijana N. Paprić

“…The reliability of the instrument determined by Cronbach’s α coefficient is satisfactory (α = 87).…”
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Investigating the Impact of Earnings Management and Internal Control on the Financial Performance of Banks Using a Spatial Artificial Intelligence Approach by Wisam Fadhil Hanoon, Parviz Piri, Ali Ashtab

“…This study utilizes the statistical population of 44 banks from Iraq and 22 banks from Iran during 2010-2023 using the combined methods of deep learning, machine learning and spatial metrics. …”
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Desiccation of hemp seeds by high temperature micronization by S. V. Zverev

“…In several cases, it is necessary to use heat treatment of cereal products to reduce moisture, inactivate some enzymes, increase storability and processing efficiency. One of the methods for heat treatment is high-temperature micronization — heating in a flow of infrared radiation. …”
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Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data by Elham Ilbeygi, Farzad Azadshahraki, Juan Ignacio Arribas, Yousef Abbaspour-gilandeh, Sajad Sabzi, Rouhollah Karimzadeh

“…In order to statistically properly validate the hybrid ANN-ABC predictive method, 20 runs were performed. Results showed that the best regression coefficient of the PLSR method in predicting chlorophyll a content using spectral data alone was 0.918. …”
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Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China by Hongwu Zhou, Haidong Pan, Shuang Li, Xianqing Lv

“…Finally, six evaluation indices (mean absolute error (MAE), RMSE, correlation coefficient (Corr), deviation rate bias, Nash–Sutcliffe efficiency (NSE), and index of agreement (IA)) are calculated. …”
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Analysis of the domestic market of compressor and ultrasonic nebulizers by T. S. Brytanova, A. V. Samko

“…The search analytical, systematic, comparative, and statistical methods and methods of mathematical and logical analysis were used in the work. …”
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University proceedings. Volga region. Medical sciences by O.V. Kalmin, E.M. Frunze, D.A. Luk'yanenko, I.N.Chairkin

“…To study the distribution of body types among Gujarati girls. Materials and methods. The objects of the study were 105 Gujrati girls aged 18-20 years. …”

A Systematic Approach for the Reliability Evaluation of Electric Connector by Ruoyu Wang, Liangjun Xu, Yilin Zhou

“…After the framework of this approach has been established, the methods and models needed were provided, including the method to build up material selection criterion and the assessment models of stress relaxation, thermal diffusion, and sliding wear, respectively. …”
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Optimization of staggered array configurations to enhance the aerodynamic performance of Darrieus wind turbines by Yosua Heru Irawan, Aditya Sukma Nugraha, Po Ting Lin

“…The optimization of the R array is achieved using the conjugate gradient method. Simulation results indicate that a blade grid size of 1 mm results in an error under 1%. …”
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弧线齿圆柱齿轮四阶传动误差设计与分析 by 苏进展, 方宗德

“…The fourth order transmission error is applied to improve the transmission stability and tooth strength of circular-arc curvilinear of cylindrical gear.The coefficient of fourth order transmission error curve is determined,the curvilinear shaped imaginary rack cutter is formed by the tilted head cutter,and the imaginary pinion is introduced to establish the tooth surface equation of pinion and gear by the coordinate systems transformation and the mesh equation,respectively.And the tooth contact analysis model which also considered assembly errors is established on the conditions of continuous tangency of two contact surfaces.The computerized simulation of meshing and contact shows that the fourth order transmission error can be achieved by the proposed method,and the stability transmission can be performed by increasing the angle of the transformation point between the adjacent meshing cycles,the tooth fillet strength can be enhanced for decreasing the modification amounts nearby tooth root,finally,the sensitivity of assemble errors of the transmission curve can be reduced.…”
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Comparative Studies of Descriptor-Based Image Matching Techniques for AAV Applications by Tomasz Pogorzelski, Teresa Zielinska

“…The most effective image-matching methods, such as DKMv3 and ROMA, were indicated, and their ability to perform efficient matching was highlighted. …”
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Turn height calculation for spiral blade by V. A. Nikolayev

“…The interaction with the soil of spiral blades has not been sufficiently studied. The method of research. The interaction with the ground of the tip of a small rotor with spiral blades is considered. …”
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Optimization of large-diameter deep-hole stope blasting technology based on numerical simulation: a case study of the Dongguashan copper mine by Jiang Guo, Shaowei Sun, Niming Jiang, Jiachuang Wang, Mingjian Huang, Xiaobing Yan, Wenjun Yang, Qinli Zhang

“…First, by comparing stress wave distributions and peak pressures for boreholes of different diameters, and analyzing crater formation patterns for different row and borehole spacing configurations, the optimal borehole net-work parameters for 165 mm boreholes with non-coupled charge structures were determined. Subsequently, edge-hole blasting models were developed using radial non-coupled and axial spaced charge methods under different blasting schemes. …”
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Predicting the uplift capacity of circular anchors in frictional-cohesive soils using Kolmogorov-Arnold networks by Tran Vu-Hoang, Tan Nguyen, Jim Shiau, Hung-Thinh Pham-Tran, Trung Nguyen-Thoi

“…Additionally, a closed-form solution for stability factors is derived through KAN, providing an efficient method for predicting bearing capacity. The optimized models exhibit high coefficient of determination (R²) values and low root mean square errors (RMSE) for training and testing datasets. …”
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