Constructing Composite Indicators Through Extreme Values Reductions-Ordered Weighted Averaging: Human Development Index by Matheus Pereira Liborio, Petr Ekel, Marcos Flavio Silveira Vasconcelos D'Angelo, Luis Martinez, Hamid Rabiei

“…The possibility of adjusting the weights of the intermediate values also provides the opportunity to reveal nuances that are difficult to detect by controlling the coefficient of variation of the composite indicator scores.…”
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Determination of High Content of Molybdenum in Molybdenum Ore by Emission Spectrometry with Solid Sampling Technique by Xinwei GUO, Kun LI, Zhihong HAO, Jianzhen YAO, Jinli XU, Jinfeng BAI

“…., which are primarily based on liquid injection, with a lengthy analytical procedure, complex steps, and a measurable range of 0.01%-5.17%[16]. …”
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ATN-Hybrid: a hybrid attention network with deterministic-probabilistic mechanism for hyperspectral image classification by Jianshang Liao, Liguo Wang

“…The network employs a dual-branch structure: the deterministic branch generates stable feature weights through explicit channel mapping and normalization, while the probabilistic branch implements temperature-guided adaptive feature selection through a soft attention mechanism. Additionally, we design an adaptive feature fusion strategy with learnable fusion coefficients for dynamic feature optimization. …”
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Characteristic Impedance Modeling of Nuclear Power Instrumentation and Control Cable Shield Breakage by Hua Tu, Chao Peng, Yanyi Chen, Lixing Li, Honglei Deng, Gang Liu

“…Nuclear Instrumentation and Control (I&C) cables laying in a complex environment are prone to shield damage. And, the traveling wave reflection method can be used to detect and locate damage using the characteristic impedance change caused by I&C cable damage. …”
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Experience of amplitude-frequency estimation of ground vibrations in the range of 0,05–0,5 Hz using the sensing element of the GNU-KV gravimeter by A. P. Belov, A. M. Lobanov, A. M. Erokhin

“…Given the equivalence of gravitational and inertial fields, the presented technology is capable of not only detecting low-frequency ground vibrations, but also estimating accelerations and amplitudes of ground displacement at these frequencies.Aim. …”
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Optimized rock physics model implementation to characterize the heterogeneous B-interval reservoir facies in the petro-elastic domain, mubarak block, lower indus basin, Pakistan by Muyyassar Hussain, MonaLisa, Zahid U. Khan, Syed A. Ahmed

“…The accuracy of the selected model was authenticated by statistical measures, i.e., good prediction quality, high correlation coefficient, along with less normalized root mean square error for modeled Vp, Vs and density. …”
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Comparison of the Reflectivities from Precipitation Measurement Radar Onboard the FY-3G Satellite and Ground-Based S-Band Dual-Polarization Radars by Rui He, Hong Li, Jingyao Luo, Hao Huang, Yijie Zhu

“…Overall, PMR has great potential for application in the monitoring of stratiform and liquid precipitation, but more complete processing is needed when applying PMR observations to heavy precipitation and complex meteorological conditions.…”
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Diverse behavior clustering of students on campus with macroscopic attention by Wanghu Chen, Zongjuan Wu, Siqi Zeng, Hongle Guo, Jing Li

“…Abstract Analyzing multi-source heterogeneous behavioral data of individuals in complex environments and discovering effective patterns is a challenging topic. …”
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Multi-Threshold Remote Sensing Image Segmentation Based on Improved Black-Winged Kite Algorithm by Yi Zhang, Xinyu Liu, Wei Sun, Tianshu You, Xin Qi

“…Quantitative evaluations reveal substantial improvements in the dice coefficient across six randomly selected remote sensing images, achieving performance enhancements of 7.76%, 11.99%, 30.75%, 22.91%, 44.37%, and 18.55%, respectively. …”
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Separation Process for Methanol–Methylal–Methyl Formate Multicomponent System in Polyformaldehyde Production Waste Liquid: Modeling and Techno-Economic Analysis by Huajie Liu, Jun Fan, Weiping Liu, Yong Wang, Qiuhong Ai, Yonglin Li

“…Although the economic benefit of the multi-component distillation reach 7281.2 CNY, the increase in the number of equipment and the complexity of the process have negative impacts.…”
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Prediction of rock burst risk in underground openings based on intuitionistic fuzzy set by Xin Wang, Kebin Shi, Quan Shi, Heng Zhang, Liqiang Bai

“…Considering the internal and external driving factors affecting rock burst, the uniaxial compressive strength $${\sigma _c}$$ , uniaxial tensile strength $${\sigma _t}$$ , maximum tangential stress $${\sigma _\theta }$$ , burial depth H, brittleness index $${\sigma _c}/{\sigma _t}$$ , stress coefficient $${\sigma _\theta }/{\sigma _c}$$ , and elastic strain energy index $${w_{et}}$$ were selected as the indices to analyze the risk of rock burst. …”
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Evaluating AI-generated responses from different chatbots to soil science-related questions by Javad Khanifar

“…For this purpose, 105 specialized multiple-choice questions covering all domains of soil science were selected from the Iranian national PhD entrance exam in soil science. …”
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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…The findings confirm that ANN models can effectively capture the nonlinear interactions governing corrosion progression, even under complex environmental conditions associated with clayey soils. …”
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Cooling Load Forecasting Method for Central Air Conditioning Systems in Manufacturing Plants Based on iTransformer-BiLSTM by Xiaofeng Huang, Xuan Zhou, Junwei Yan, Xiaofei Huang

“…First, the Pearson correlation coefficient is employed to select time-series variables that have a significant impact on cooling load. …”
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A LightGBM-Based Power Grid Frequency Prediction Method with Dynamic Significance–Correlation Feature Weighting by Jie Zhou, Xiangqian Tong, Shixian Bai, Jing Zhou

“…To verify the effectiveness of the D-SCW method, this study conducts comparative experiments on two actual grid operation datasets (including typical scenarios with wind/photovoltaic (PV) installations, accounting for 5–35% of the grid); additionally, the Spearman’s rank correlation coefficient method, mutual information (MI), Lasso regression, and the feature screening method of recursive feature elimination (RFE) are selected as the baseline control; root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) are adopted as assessment indicators. …”
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Cooperative Control and Intelligent Optimization for Air-Sea Heterogeneous Unmanned Systems by Can KE, Huifang CHEN, Lei XIE

“…Besides, for the multi-objective optimization problem of convergence time and communication energy consumption in cooperative control algorithm, an improved multi-objective quantum-behavior particle swarm optimization algorithm was proposed by designing contraction-expansion coefficient and dynamic dense distance strategy, which was used to intelligently select the impulsive interval for each domain, achieving a good compromise between the convergence time and communication energy consumption of cooperative control algorithm. …”
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On the problem of estimating the snowiness of winters by different methods by the example of the Yuzhno-Sakhalinsk city by E. N. Kazakova

“…Galakhov; the Schultz coefficient; and the maximum winter snow cover thickness. …”
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Interaction of the Antibiotic Rifampicin with Lipid Membranes by Rui M. S. Santos, Jaime Samelo, Alexandre C. Oliveira, Margarida M. Cordeiro, Maria Julia Mora, Gladys E. Granero, Hugo A. L. Filipe, Luís M. S. Loura, Maria João Moreno

“…It is a relatively large and structurally complex molecule, including numerous polar groups. …”
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Repeatability of Fractal Analysis in OCT Angiography of the Macula and Optic Nerve Head by Gustavo Rosa Gameiro, MD, PhD, Alessandro A. Jammal, MD, PhD, Verônica Vilasboas-Campos, MD, Jianhua Wang, MD, PhD, Felipe A. Medeiros, MD, PhD

“…OCT angiography images were processed for fractal analysis focusing on small vessels (<25 μm in diameter) within en face slabs of the superficial vascular complex (SVC), deep vascular complex (DVC), full retina, and nerve fiber layer vascular plexus (NFLVP). …”
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An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean by Xiuni Li, Menggen Chen, Shuyuan He, Mei Xu, Yao Zhao, Weiguo Liu

“…The extracted plant height and width showed high agreement with manual measurements, with coefficients of determination (R²) of 0.99 and 0.95, respectively. …”
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