Radiação solar estimada com base na temperatura do ar para três regiões de Minas Gerais Estimation of solar radiation by air temperature models for three regions of Minas Gerais... by Cláudio R. da Silva, Valdiney J. da Silva, José Alves Júnior, Hudson de P. Carvalho

“…For all models local calibration coefficients were derived. The performance of each method was evaluated using the following statistical indicators: coefficient of determination (R²), root mean square error (RMSE), mean bias error (MBE) and test-t. …”
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Digital Twin-Based Technical Research on Comprehensive Gear Fault Diagnosis and Structural Performance Evaluation by Qiang Zhang, Zhe Wu, Boshuo An, Ruitian Sun, Yanping Cui

“…The experimental verification shows that the fault diagnosis accuracy of the system is more than 99%, the average value of the determination coefficient (R²) of the stress prediction model is 0.9339 (driving wheel) and 0.9497 (driven wheel), and supports the real-time display of three-dimensional cloud images. …”
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Reliability of the use of foot pressure pain threshold in adults: a test-retest analysis by Lidia Mayorga-Vega, Ana Maria Jimenez-Cebrian, Francisco Javier Barón-López, Alonso Montiel-Luque, Juan Carlos Benavente-Marín, Julia Warnberg

“…Method Using a JTECH Commander digital algometer, an experienced podiatrist measured the pressure pain thresholds at four locations on the sole of the dominant and non-dominant foot (head of the first metatarsal, head of the fifth metatarsal, pulp of the first toe, and center of the heel) in 15 male and 16 female volunteers aged 55 to 75. …”
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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…The results show that RF is the optimal model with 49.55 m for root mean square error (RMSE), 29.19 m for mean absolute error (MAE) and 0.9823 for coefficient of determination (R²). This study used the RF model to construct the shape of burned areas by predicting lengths of all straight path distances from the ignition point to the fire line. …”
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Evaluating the clinical relevance and reliability of outer retinal band length on optical coherence tomography in retinal disease: a cross-sectional study by Angelica Ly, Michael Kalloniatis, Rene Cheung, Henrietta Wang, Lisa Nivison-Smith

“…Objectives Hyper-reflective outer retinal band (HORB) disruptions are reported across a range of retinal disease, yet a reliable, easily implemented assessment method and thorough evaluation of their association to retinal disease is lacking. …”
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Mapping soil salinity in irrigated areas using hyperspectral UAV imagery by ZHOU Shixun, YIN Juan, WANG Juntao, CHANG Buhui, YANG Zhen

“…This model achieved a determination coefficient of 0.825 and a root mean square error of 2.254 g/kg. ③ Integrating the BPNN model with GIS enabled estimation of spatial variation of soil salinity. …”
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PENGARUH RESPON VIEWERS TENTANG KONTEN FOOD VLOGGER @JOGJABIKINLAPER TERHADAP MINAT BELI MAKANAN DI YOGYAKARTA by Qurlita Syaharani, Novianto Yudha Laksana

“…This study uses a quantitative approach with a survey method. The sample size of this study was 100 respondents. …”
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Synergistic Effect of Influence Factors on Ammonia Volatilization in Fertilizer Solution: A Laboratory Experiment by Jie Xie, Yuanhua Chen, Tao Yang, Jianguo Li, Changxu Xu, Aiqin Dong

“…The quantitative equation took into account the coefficient of determination and degrees of polynomial, and the ammonia volatilization fluxes can be calculated by using these equations.…”
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Incorporating stand parameters in nonlinear height-diameter mixed-effects model for uneven-aged Larix gmelinii forests by Muhammad Junaid Ismail, Tika Ram Poudel, Akber Ali, Lingbo Dong

“…Model performance was assessed using root mean square error (RMSE), mean absolute error (MAE), and the coefficient of determination (R2). Results identified the Ratkowsky model (M8) as the best performer, achieving the highest R2 (0.74), the lowest RMSE (16.47%) and MAE (12.50%), at statistically significant regression coefficients (p < 0.05). …”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

“…The quantitative variables were diameter at breast height and total tree height, while the qualitative variables were species (P. patula and P. pseudostrobus) and volume type (whole-tree volume and stem volume), both coded as 1 and 0, respectively. The relative rank method was used to identify the most effective models based on goodness-of-fit statistics, including the coefficient of determination (R2), average absolute error (AAE), total relative error (TRE), average systematic error (ASE), and mean percent standard error (MPSE). …”
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Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System by Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan

“…The results demonstrated that the CatBoost algorithm outperformed the others under complex terrain and climatic conditions, achieving a coefficient of determination (R²) of 0.997 and the lowest root mean square error (RMSE) of 0.627 °C, indicating superior robustness and accuracy. …”
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Predicting Thermal Conductivity of Nanoparticle-Doped Cutting Fluid Oils Using Feedforward Artificial Neural Networks (FFANN) by Beytullah Erdoğan, Abdulsamed Güneş, İrfan Kılıç, Orhan Yaman

“…The model demonstrated high predictive accuracy, with a reliability of R = 0.99628 and a coefficient of determination (R²) of 0.9999. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…Notably, under Strategy IX, the SVR model achieved the best predictive performance, with a coefficient of determination (R²) of 0.62 and a root mean square error (RMSE) of 0.38 g/kg. …”
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On the Study of Geomorphic Evidence of Sirvan River Flood in order to Estimate the Maximum Flood Discharge, in Different Return Periods by Mohammad Hosayn Rezaei Moghaddam, Mohammadreza Nikjoo, Hesam Maleki

“…Moreover, the metric measurements of the stratigraphy were drawn in the environment of drawing LAND software. Determining the Manning roughness coefficient, the data were entered the environment of additional GEO-RAS from GIS environment to model the riverbed. …”
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Complex assessing of aridity in Ukraine by Василь Затула

“…The purpose of article is to characterize the patterns of the spatial distribution and changes over time of aridity indices on the territory of Ukraine for the period 1961-2020. Data and methods. The Pinna combinative index (PCI) and its modification (PCIm) were used to determine the aridity assessment. …”
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Stability Charts for Pseudostatic Stability Analysis of Rock Slopes Using the Nonlinear Hoek–Brown Strength Reduction Technique by Chaowei Sun, Junrui Chai, Tao Luo, Zengguang Xu, Yuan Qin, Xiaosa Yuan, Bin Ma

“…The proposed charts provide an efficient and convenient way to determine the FOS of rock slopes directly from the rock mass properties (γ and σci), the HB parameters (mi and GSI), the slope geometry (H and β), and the horizontal seismic coefficients (kh).…”
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Stability of Early Maturing Soybean Genotypes in Poland by Danuta Kurasiak-Popowska, Agnieszka Katańska-Kaczmarek, Przemysław Matysik, Piotr Stefański, Patrycja Przybył, Ewa Skotarczak, Jerzy Nawracała

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Knowledge, attitudes, and practices regarding avian influenza among poultry farmers near migratory bird habitats in Guidong County, China by Yan Jiang, DaiJun Zhong, DaiJun Zhong, Yang Han, Yong Zhou, HaiJian Zhou

“…ObjectiveTo assess the knowledge, attitudes, and preventive behaviors (KAP) regarding avian influenza among poultry farmers living near migratory bird habitats in Guidong County, China, and to identify determinants of these practices using structural equation modeling.MethodsA cross-sectional survey was conducted in July 2021 among 221 poultry farmers from three towns adjacent to migratory bird habitats. …”
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The study of the structure of anxiety in athletes by Y. A. Statsenko, H. .. Wardi, I. V. Glebova, M. A. Sarkisyan, A. G. Ponomareva, I. A. Charikova, D. N. Cvirko, L. A. Kalinkin, L. V. Kutniakhova, T. A. Dotsenko, M. E. Biandzetskaya

“…Objective: to study the structure of disorders caused by anxiety in athletes. Materials and methods: the objects of the first task of the research were different terminological definitions and classifications of anxiety disorders. …”
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Variational quantum circuit-based quantum machine learning approach for predicting corrosion inhibition efficiency of pyridine-quinoline compounds by Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono

“…With a coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), and mean absolute deviation (MAD) values of 0.989, 0.027, 0.024, and 0.019, respectively, VQC performs better. …”
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