Estudio y modelación del flujo bifásico líquido-gas para bajos valores de Reynolds//Study and modelation for low reynolds value of two phases flow liquid-gas by Annamaris Olmo Velázquez, Margarita de la Victoria Piedra-Díaz, Leorlen Rojas-Mazaira, Melchor Rodríguez-Madrigal, Erich Martínez-Martín

“…<br />_________________________________________________________________________________</p><p><strong>Abstract</strong><br /><br />The study of simultaneous flow of liquid and gas over a conduit is two phases flow combinations more complex that exist. For the study we select fluid (glycerin in solution with water (80 %) and industrial gel) that establish flow models necessary for the investigation the desired systems. …”
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Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits. by Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari

“…The RBF algorithm with highest Coefficient of Determination (R2) value of 0.81 and the lowest Mean Absolute Errors (MAE) and Root Mean Square Error (RMSE) values of 148.61 kg.ha-1, and 185.31 kg.ha-1, respectively, was the most accurate algorithm and, therefore, selected as the metaClassifier for the E-B algorithm. …”
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Prediction models of iron level in beef muscle tissue toward ecological well-being by K. Narozhnykh

“…It contained three predictors, namely, number of erythrocytes, color index, and globulin, as a result of selection based on internal and external-quality criteria. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Regression provided robust results with minimal computational effort, while FFNN required complex tuning without a clear performance advantage. …”
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A Review of Numerical Techniques for Frictional Contact Analysis by Govind Vashishtha, Sumika Chauhan, Riya Singh, Manpreet Singh, Ghanshyam G. Tejani

“…The selection of an appropriate friction constitutive model is crucial; while the Coulomb friction law is common, more sophisticated models are necessary to represent real-world complexities, including surface roughness and temperature dependence. …”
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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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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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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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Convolutional block attention gate-based Unet framework for microaneurysm segmentation using retinal fundus images by C. B. Vanaja, P. Prakasam

“…However, because of the complex background and varied lighting factors, it is challenging to recognize microaneurysms in fundus images automatically. …”
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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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Trust in the health care professional and health outcome: A meta-analysis. by Johanna Birkhäuer, Jens Gaab, Joe Kossowsky, Sebastian Hasler, Peter Krummenacher, Christoph Werner, Heike Gerger

“…Prospective studies are required to deepen our understanding of the complex interplay between trust and health outcomes.…”
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Assessment of the functioning of the photosynthetic apparatus of Olea europaea L. under freezing temperatures by Sergei Yu. Tsiupka, Valentina A. Tsiupka, Ilya V. Bulavin

“…At a low gradient of temperature exposure (-7... - 10°C), leaf tissues of the European selection varieties ‘Coreggiolo’, ‘Ascolano’, ‘Leccino’ and ‘Razzo’ were damaged: electrical conductivity reached 15%, chlorophyll stability index decreased, variable fluorescence and photosynthetic activity coefficients decreased, uncontrolled photon quenching was significantly higher than the effective photochemical quantum yield and non-photochemical quenching. …”
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