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 is evidenced by the regression coefficient value of 0.859 with a significance level of 0.000. …”
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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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Classification criteria for coal bursting liability based on portable Leeb hardness testing by Yixin ZHAO, Zhe YANG, Ronghuan XIE, Tao WANG, Liangchen ZHAO

“…Considering the complexity of existing classification procedures for determining coal bursting liability, a new method based on portable Leeb hardness testing is proposed. …”
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Development of a reversed dispersive based graphene functionalized with multiwalled carbon nanotubes for detection of β2-agonists in pork by high-performance liquid chromatography by Ying-Wen Qian, Xia Hong, Cai-Xia Yuan, Xin-Kui Zhou, Hai-Ning He, Dong-Shuai Wang

“…The precisions of the current method (coefficient of variation) are lower than 5%, while recoveries are more than 98.3%. …”
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Autonomous Maneuver Decision-Making for Unmanned Combat Aerial Vehicle Based on Modified Marine Predator Algorithm and Fuzzy Inference by Yuequn Luo, Dali Ding, Mulai Tan, Yidong Liu, Ning Li, Huan Zhou, Fumin Wang

“…First, the weight coefficients determined by the fuzzy inference method are combined with air combat superiority functions that consider the current missile attack zone and then the objective function is obtained, which is to be optimized at the current moment. …”
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Estimation of the Global-Scale Ecological Footprint within the Framework of STIRPAT Models: The Quantile Regression Approach by Derya Topdağ, Tuğçe Acar, İsmail Erkan Çelik

“…Therefore, it is important to determine which factors affect the global ecological footprint. …”
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Psychometric properties and factorial structure of the Spanish version of the HLS-EU-Q16 questionary in Venezuelan adults. by Judith Francisco-Pérez, Víctor López-Guerra, Gabriel Ortíz, Angélica Rojas, Carmen Martínez, Ronald Serrano

“…Health literacy is a variable determined by personal skills and resources for information management and health-related decision making. …”
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Approximation by interpolation spectral subspaces of operators with discrete spectrum by M.I. Dmytryshyn

“…This normalization factor is determined by the parameters $\tau$ and $s$ of the approximation spaces $\mathcal {B}_{q,p,\tau}^{s}(A)$ and has a special form in the case $\tau(1+s)=2$. …”
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Suppression of Strong Cultural Noise in Magnetotelluric Signals Using Particle Swarm Optimization-Optimized Variational Mode Decomposition by Zhongda Shang, Xinjun Zhang, Shen Yan, Kaiwen Zhang

“…Subsequently, using the PSO algorithm, the optimal combination of influential parameters in the VMD is determined. This optimal parameter set is applied to decompose electromagnetic signals, and Intrinsic Mode Functions (IMFs) are selected for signal reconstruction based on correlation coefficients, resulting in denoised electromagnetic signals. …”
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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…It determines initial reflection coefficients using a thin-layer matching pursuit algorithm and then performs post-stack sparse inversion based on the L0-norm compressed sensing theory. …”
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The Effect of Tangible and Intangible Hotel Caracteristics on Brand Loyalty with the Mediating Role of Perceived Well-Being and Brand Attitude (Case study: 4 And 5 Star Hotels In M... by Zahra Mohamadzadeh, Zahra Mohamoudi

“…Construct validity should be assessed and confirmed using statistical methods such as confirmatory factor analysis. Cronbach's alpha coefficient was used to check the reliability of the variables. …”
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Detection of frictional meltwater on snow surface using a humidity indicator by Shiraz Ahmed Siddiqui, Michael Hasler, Martin Mössner, Joost van Putten, Kurt Schindelwig, Werner Nachbauer

“… Introduction & Purpose The low friction coefficient of a ski on snow is due to the formation of a meltwater layer between the ski base and the snow surface. …”
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Comparison between Spectral-domain and Swept-source OCT Angiography Scans for the Measurement of Hyperreflective Foci in Age-related Macular Degeneration by Gissel Herrera, MD, Yuxuan Cheng, PhD, Yamini Attiku, MD, Farhan E. Hiya, MD, Mengxi Shen, MD, PhD, Jeremy Liu, MD, Jie Lu, PhD, Alessandro Berni, MD, Omer Trivizki, MD, Jianqing Li, MD, Robert C. O’Brien, PhD, Giovanni Gregori, PhD, Ruikang K. Wang, PhD, Philip J. Rosenfeld, MD, PhD

“…Participants: Forty eyes from 35 patients with iAMD. Methods: Patients underwent SD-OCTA and SS-OCTA imaging at the same visit using a 6 × 6 mm OCTA scan pattern. …”
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Research on path planning of mobile robots based on improved A* algorithm by Xing Fu, Zucheng Huang, Gongxue Zhang, Weijun Wang, Jian Wang

“…Firstly, a multi-neighborhood hybrid search method is introduced, optimizing the traditional eight-neighborhood and twenty-four-neighborhood into a new sixteen-neighborhood. …”
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