Developing a method for root-zone soil moisture monitoring at the field scale using remote sensing and simulation modeling by Hamideh Noory, Morteza Khoshsima, Atsushi Tsunekawa, Mitsuru Tsubo, Nigussie Haregeweyn, Salar Pashapour

“…The root mean square errors (RMSEs) and coefficients of determination (R2 values) were < 0.032 cm3 cm−3 and 0.52–0.95, respectively. …”
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Comparison Analysis of Hierarchical Clustering and K-Means Methods in Grouping Provinces in Indonesia Based on Dengue Hemorrhagic Fever (DHF) Cases by Alfidha Rahmah, Nida Faoziatun Khusna, Safril Ahmadi Sanmas, Syifa Aulia, Shinta Amaria, Fatkhurokhman Fauzi

“…For the K-Means method, the optimal number of clusters was determined using the Silhouette Coefficient, which also indicated three clusters. …”
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Influence of Transformation Coefficient of Refrigerating Machine on Exergetic Efficiency of Air Conditioning System of Operating Clean Rooms by Volodymyr Labay, Kyrylo Andreiko

“…Exergetic method is a universal way of thermodynamic research of various processes of energy transformation in energy technological systems, to which air conditioning system for clean room belongs. …”
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Evaluation of influence of thermoplastic slurry flow conditions on heat transfer coefficient during beryllium ceramic formation by З. Сатинова, Б. Асилбеков, У. Жапбасбаев, Г. Рамазанова, Г. Сагындыкова

“… The article presents the results of calculation of the influence of thermoplastic slurry flow conditions on the total heat transfer coefficient when forming ceramic products. Methods of detailed description of casting processes and thermal calculations have been developed to ensure reliable correspondence of calculated data and experimental results implemented on the basis of calculational experiment. …”
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Whole-body diffusion-weighted magnetic resonance imaging by estimating the measurable diffusion coefficient in Hodgkin lymphoma by A. I. Mikhaylov, V. O. Panov, I. E. Tyurin

“…Objective: to determine whether the measurable diffusion coefficient (MIC) may be used to differentiate normal and lymphomatosisaltered lymph nodes (LNs) in patients with Hodgkin lymphoma (HL).Material and methods. …”
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Efficient Humanitarian Logistics: Multi-Commodity Location–Inventory Model Incorporating Demand Probability and Consumption Coefficients by Majid Mehrabi Delshad, Adel Pourghader Chobar, Peiman Ghasemi, Davoud Jafari

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A Comparative Study of Downscaling Methods for Groundwater Based on GRACE Data Using RFR and GWR Models in Jiangsu Province, China by Rihui Yang, Yuqing Zhong, Xiaoxiang Zhang, Aizemaitijiang Maimaitituersun, Xiaohan Ju

“…The results indicate that among the established 66 × 158 local GWR models, the coefficient of determination (R²) ranges from 0.39 to 0.88, with a root mean squared error (RMSE) of approximately 2.60 cm. …”
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Rapid Spectrophotometric Determination of Phenoxazine by Baghdad Science Journal

“…The Beer’s law was obeyed for phenoxazine concentration range from 1 to 6 µg mL-1 with 0.003 µg mL-1 detection limit and provided variation coefficients between 0.4 to 1.7 %. This method was successfully applied for the determination of phenoxazine in aqueous samples…”
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Development and certification of reference standards for phenolic content in biologicals, based on comparison of results obtained by GLC, HPLC, spectrophotometric, and colorimetric... by O. N. Kolesnikova, O. V. Fadeikina, O. B. Ustinnikova, R. A. Volkova, A. A. Movsesyants

“…Phenol is used as a preservative in a number of biological products. Methods that are used for quantitative determination of phenol differ a lot. …”
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Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods by Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan

“…A comparison of five machine learning models showed that the random forest model performed optimally in AOD inversion, achieving a root mean square error (RMSE) of 0.11 and a coefficient of determination (R²) of 0.93. …”
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Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods by Aysun Alci, Fatih Ikiz, Necim Yalcin, Mustafa Gokkaya, Gulsum Ekin Sari, Isin Ureyen, Tayfun Toptas

“…The aim of this single-centre, retrospective study was to determine the best method for predicting Clavien–Dindo grade ≥ III complications using machine learning techniques. …”
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Methodology for determining temperature dependences of the diffraction efficiency of two-layer two-relief microstructures in the framework of a rigorous coupled-wave analysis by A.I. Antonov, G.I. Greisukh

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Prediction of Mature Body Weight of Indigenous Camel (<i>Camelus dromedarius</i>) Breeds of Pakistan Using Data Mining Methods by Daniel Zaborski, Wilhelm Grzesiak, Abdul Fatih, Asim Faraz, Mohammad Masood Tariq, Irfan Shahzad Sheikh, Abdul Waheed, Asad Ullah, Illahi Bakhsh Marghazani, Muhammad Zahid Mustafa, Cem Tırınk, Senol Celik, Olha Stadnytska, Oleh Klym

“…The determination of the live body weight of camels (required for their successful breeding) is a rather difficult task due to the problems with handling and restraining these animals. …”
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Determinação de parâmetros de transporte de metais pesados em Latossolo compactado Determination of transport parameters for heavy metals in compacted Oxisol by Izabel C. D. Azevedo, Cleidimar R. Nascentes, Antonio T. de Matos, Roberto F. de Azevedo

“…The use of the cumulative mass method, based on a reduced number of pore volumes, in the determination of transport parameters, reduces time and costs involved in tests.…”
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Effect of Al2O3 and CaF2 additives on the viscosity of conventional cryolite melts by A. S. Lyutina, A. A. Kataev, A. V. Rudenko, O. Yu. Tkacheva

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Direct Extraction and Determination of Free Nicotine in Cigarette Smoke by Li Li, Jing Wen, Yuyang Deng, Juan Yang, Yue Yuan, Yi Shen, Guoce Liu, Yonghong Tian, Dean Lei

“…Currently, the determination of free nicotine in tobacco products primarily relies on methods such as pH calculation, nuclear magnetic resonance (NMR) spectroscopy, headspace solid-phase microextraction (HS-SPME), and traditional solvent extraction. …”
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Proposals of exposure criteria for the assessment of low frequency noise at workplaces in industrial control rooms and office-like areas by Małgorzata PAWLACZYK-ŁUSZCZYŃSKA, Adam DUDAREWICZ, Mariola ŚLIWIŃSKA-KOWALSKA

“…The subjective ratings of LFNs were compared to objective results from various assessing methods. The relations between annoyance and excesses of proposed limits were analyzed using Pearson correlation coefficient (r). …”
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Estimation of Weibull distribution parameters to assess the wind energy potential of high altitude sites in the Andean region of Ecuador by Natalia Alexandra Pérez Londo, Darwin Saúl Lema Londo, Rosa Ormaza Hugo, Fabián Londo, Narcisa Sánchez Salcán, Diana Katherine Campoverde-Santos, Dalinda Quingatuña, Julio Coello-Cabezas

“…To evaluate the accuracy of these methods, the mean square error, the root mean square error, the mean absolute error, the coefficient of determination, and the chi-square test were used. …”
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APSIM NG Model Simulation of Soil N₂O Emission from the Dry-Crop Wheat Field and Its Parameter Sensitivity Analysis by Yanyan Li, Yao Yao, Mengyin Du, Lixia Dong, Jianyu Yuan, Guang Li

“…In this study, we combined the good performance of the Agricultural Production Systems sIMulator Next-Generation (APSIM NG) model in simulating crop growth, soil carbon and nitrogen cycles, and soil N₂O emissions with the efficient computational efficiency of the extended Fourier amplitude test (EFAST) method. The sensitivity of the APSIM NG model to the simulation of soil N₂O emissions was systematically investigated using the EFAST method in a dry-crop wheat field in the semi-arid region of the Loess Plateau in Longzhong, China, where 28 crop cultivar parameters, 15 soil parameters, 4 meteorological parameters, and 4 field management parameters were selected. …”
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Thermal-hydraulic characteristics and optimization of coiled-tube resistance furnace based on response surface method and multi-objective genetic algorithms by Ruochen Zhang, Yinglong Wu, Juan Xiao, Simin Wang

“…This paper presents a coiled-tube resistance furnace and investigates the flow and heat transfer performance of heavy residual oil within the tube through numerical simulation methods. The furnace's coiled-tube structure was optimized using a multi-objective genetic algorithm (MOGA) combined with a genetic aggregation response surface model, with inlet velocity, coil diameter, pitch, and tube diameter as design variables. …”
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